python-ase-3.6.0.2515/0000755000175400017540000000000011757245036013212 5ustar askhlaskhlpython-ase-3.6.0.2515/setup.py0000755000175400017540000000543411721701551014723 0ustar askhlaskhl#!/usr/bin/env python # Copyright (C) 2007 CAMP # Please see the accompanying LICENSE file for further information. from distutils.core import setup from glob import glob from os.path import join import os import sys long_description = """\ ASE is a python package providing an open source Atomic Simulation Environment in the python scripting language.""" if sys.version_info < (2, 3, 0, 'final', 0): raise SystemExit, 'Python 2.3 or later is required!' packages = ['ase', 'ase.cluster', 'ase.cluster.data', 'ase.io', 'ase.md', 'ase.dft', 'ase.gui', 'ase.gui.languages', 'ase.data', 'ase.test', 'ase.test.abinit', 'ase.test.castep', 'ase.test.cmr', 'ase.test.elk', 'ase.test.fio', 'ase.test.fleur', 'ase.test.jacapo', 'ase.test.nwchem', 'ase.test.vasp', 'ase.tasks', 'ase.utils', 'ase.lattice', 'ase.lattice.spacegroup', 'ase.examples', 'ase.optimize', 'ase.optimize.test', 'ase.visualize', 'ase.visualize.vtk', 'ase.transport', 'ase.calculators', 'ase.calculators.jacapo'] package_dir={'ase': 'ase'} package_data={'ase': ['lattice/spacegroup/spacegroup.dat', 'gui/po/ag.pot', 'gui/po/makefile', 'gui/po/??_??/LC_MESSAGES/ag.po']} # Compile makes sense only when building if 'build' in sys.argv or 'build_ext' in sys.argv or 'install' in sys.argv: msgfmt = 'msgfmt' # Compile translation files (requires gettext) status = os.system(msgfmt + ' -V') if status == 0: for pofile in glob('ase/gui/po/??_??/LC_MESSAGES/ag.po'): mofile = os.path.join(os.path.split(pofile)[0], 'ag.mo') os.system(msgfmt + ' -cv %s --output-file=%s' % (pofile, mofile)) package_data['ase'].append('gui/po/??_??/LC_MESSAGES/ag.mo') # Get the current version number: execfile('ase/svnversion_io.py') # write ase/svnversion.py and get svnversion execfile('ase/version.py') # get version_base if svnversion: version = version_base + '.' + svnversion else: version = version_base setup(name = 'python-ase', version=version, description='Atomic Simulation Environment', url='https://wiki.fysik.dtu.dk/ase', maintainer='CAMd', maintainer_email='camd@fysik.dtu.dk', license='LGPLv2.1+', platforms=['linux'], packages=packages, package_dir=package_dir, package_data=package_data, scripts=['tools/ag', 'tools/ase', 'tools/ASE2ase.py', 'tools/testase.py'], long_description=long_description) python-ase-3.6.0.2515/LICENSE0000644000175400017540000000114011364026230014176 0ustar askhlaskhlASE is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 2.1 of the License, or (at your option) any later version. ASE is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with ASE. If not, see . python-ase-3.6.0.2515/tools/0000755000175400017540000000000011757245033014347 5ustar askhlaskhlpython-ase-3.6.0.2515/tools/trajectoryinfo0000755000175400017540000000076311531205172017333 0ustar askhlaskhl#!/usr/bin/env python from ase.io.trajectory import print_trajectory_info from ase.io.bundletrajectory import print_bundletrajectory_info import sys import os if len(sys.argv) <= 1: print >>sys.stderr, "Usage: trajectoryinfo file.traj [file2.traj ...]" sys.exit(1) for f in sys.argv[1:]: if os.path.isfile(f): print_trajectory_info(f) elif os.path.isdir(f): print_bundletrajectory_info(f) else: print "ERROR: %s is neither a file nor a directory!" % (f,) python-ase-3.6.0.2515/tools/sphinx.py0000644000175400017540000000527611566720374016250 0ustar askhlaskhl#!/usr/bin/python import os import sys import time import glob import trace import tempfile tmpdir = tempfile.mkdtemp(prefix='ase-') os.chdir(tmpdir) def build(email): if os.system('svn checkout ' + 'https://svn.fysik.dtu.dk/projects/ase/trunk ase') != 0: raise RuntimeError('Checkout of ASE failed!') os.chdir('ase') if os.system('python setup.py install --home=.') != 0: raise RuntimeError('Installation failed!') sys.path.insert(0, 'lib/python') from ase.test import test from ase.version import version # Run test-suite: stream = open('test-results.txt', 'w') results = test(verbosity=2, dir='ase/test', display=False, stream=stream) stream.close() if len(results.failures) > 0 or len(results.errors) > 0: address = email subject = 'ASE test-suite failed!' os.system('mail -s "%s" %s < %s' % (subject, address, 'test-results.txt')) raise RuntimeError('Testsuite failed!') # Generate tar-file: assert os.system('python setup.py sdist') == 0 if os.system('epydoc --docformat restructuredtext --parse-only ' + '--name ASE ' + '--url http://wiki.fysik.dtu.dk/ase ' + '--show-imports --no-frames -v ase &> epydoc.out') != 0: raise RuntimeError('Epydoc failed!') epydoc_errors = open('epydoc.out').read() if ' Warning:' in epydoc_errors: sys.stderr.write(epydoc_errors) os.chdir('doc') os.mkdir('_build') if os.system('PYTHONPATH=%s/ase sphinx-build . _build' % tmpdir) != 0: raise RuntimeError('Sphinx failed!') os.system('cd _build; cp _static/searchtools.js .; ' + 'sed -i s/snapshot.tar/%s.tar/ download.html' % version) if 1: if os.system('PYTHONPATH=%s/ase ' % tmpdir + 'sphinx-build -b latex . _build 2> error') != 0: raise RuntimeError('Sphinx failed!') os.system( 'grep -v "WARNING: unusable reference target found" error 1>&2') os.chdir('_build') #os.system('cd ../..; ln -s doc/_static') if os.system('make ase-manual.pdf 2>&1') != 0: raise RuntimeError('pdflatex failed!') else: os.chdir('_build') assert os.system('mv ../../html epydoc;' + 'mv ../../dist/python-ase-%s.tar.gz .' % version) == 0 tarfiledir = None if len(sys.argv) == 3: tarfiledir = sys.argv[2] try: os.remove(tarfiledir + '/ase-webpages.tar.gz') except OSError: pass build(sys.argv[1]) if tarfiledir is not None: os.system('cd ..; tar czf %s/ase-webpages.tar.gz _build' % tarfiledir) os.system('cd; rm -r ' + tmpdir) python-ase-3.6.0.2515/tools/ASE2ase.py0000755000175400017540000000543711410147616016112 0ustar askhlaskhl#!/usr/bin/env python import sys def convert(filename): lines = open(filename).readlines() t1 = ''.join(lines) first = True for i in range(len(lines)): line = lines[i] if line.startswith('from ASE'): if first: lines[i] = 'from ase.all import *\n' first = False else: lines[i] = '' t = ''.join(lines) for old, new in [('GetCartesianPositions', 'get_positions'), ('SetCartesianPositions', 'set_positions'), ('GetPotentialEnergy', 'get_potential_energy'), ('SetCalculator', 'set_calculator'), ('GetScaledPositions', 'get_scaled_positions'), ('SetScaledPositions', 'set_scaled_positions'), ('SetUnitCell', 'set_cell'), ('GetUnitCell', 'get_cell'), ('GetBoundaryConditions', 'get_pbc'), ('GetCartesianForces', 'get_forces'), ('GetCartesianVelocities', 'get_velocities'), ('SetCartesianVelocities', 'set_velocities'), ('GetCartesianMomenta', 'get_momenta'), ('SetCartesianMomenta', 'set_momenta'), ('ListOfAtoms', 'Atoms'), ('periodic', 'pbc'), ('pbcity', 'periodicity'), ('.Converge(', '.run('), ('Repeat', 'repeat'), ('Numeric', 'numpy'), ('numpyal', 'Numerical'), ('GetAtomicNumber()', 'number'), ('GetChemicalSymbol()', 'symbol'), ('GetCartesianPosition()', 'position'), ('GetTag()', 'tag'), ('GetCharge()', 'charge'), ('GetMass()', 'mass'), ('GetCartesianMomentum()', 'momentum'), ('GetMagneticMoment()', 'magmom'), ]: t = t.replace(old, new) t2 = '' while 1: i = t.find('.') i2 = t.find('def ') if 0 <= i < i2: n = 1 elif i2 != -1: n = 4 i = i2 else: break t2 += t[:i + n] t = t[i + n:] if t[0].isupper() and t[1].islower(): j = t.find('(') if j != -1 and t[2: j].isalpha(): for k in range(j): if t[k].isupper() and k > 0: t2 += '_' t2 += t[k].lower() t = t[j:] t2 += t if t2 != t1: print filename, len(t1) - len(t2) open(filename + '.bak', 'w').write(t1) open(filename, 'w').write(t2) for filename in sys.argv[1:]: convert(filename) python-ase-3.6.0.2515/tools/pep8.py0000755000175400017540000013664411566675500015622 0ustar askhlaskhl#!/usr/bin/python # pep8.py - Check Python source code formatting, according to PEP 8 # Copyright (C) 2006 Johann C. Rocholl # # Permission is hereby granted, free of charge, to any person # obtaining a copy of this software and associated documentation files # (the "Software"), to deal in the Software without restriction, # including without limitation the rights to use, copy, modify, merge, # publish, distribute, sublicense, and/or sell copies of the Software, # and to permit persons to whom the Software is furnished to do so, # subject to the following conditions: # # The above copyright notice and this permission notice shall be # included in all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, # EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF # MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND # NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS # BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN # ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN # CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # Copied from: # # https://github.com/jcrocholl/pep8/blob/ # 8d2d68790b6931833277cd671dfb8158962fac0c/pep8.py # # on May 10, 2011. """ Check Python source code formatting, according to PEP 8: http://www.python.org/dev/peps/pep-0008/ For usage and a list of options, try this: $ python pep8.py -h This program and its regression test suite live here: http://github.com/jcrocholl/pep8 Groups of errors and warnings: E errors W warnings 100 indentation 200 whitespace 300 blank lines 400 imports 500 line length 600 deprecation 700 statements You can add checks to this program by writing plugins. Each plugin is a simple function that is called for each line of source code, either physical or logical. Physical line: - Raw line of text from the input file. Logical line: - Multi-line statements converted to a single line. - Stripped left and right. - Contents of strings replaced with 'xxx' of same length. - Comments removed. The check function requests physical or logical lines by the name of the first argument: def maximum_line_length(physical_line) def extraneous_whitespace(logical_line) def blank_lines(logical_line, blank_lines, indent_level, line_number) The last example above demonstrates how check plugins can request additional information with extra arguments. All attributes of the Checker object are available. Some examples: lines: a list of the raw lines from the input file tokens: the tokens that contribute to this logical line line_number: line number in the input file blank_lines: blank lines before this one indent_char: first indentation character in this file (' ' or '\t') indent_level: indentation (with tabs expanded to multiples of 8) previous_indent_level: indentation on previous line previous_logical: previous logical line The docstring of each check function shall be the relevant part of text from PEP 8. It is printed if the user enables --show-pep8. Several docstrings contain examples directly from the PEP 8 document. Okay: spam(ham[1], {eggs: 2}) E201: spam( ham[1], {eggs: 2}) These examples are verified automatically when pep8.py is run with the --doctest option. You can add examples for your own check functions. The format is simple: "Okay" or error/warning code followed by colon and space, the rest of the line is example source code. If you put 'r' before the docstring, you can use \n for newline, \t for tab and \s for space. """ __version__ = '0.5.1dev' import os import sys import re import time import inspect import keyword import tokenize from optparse import OptionParser from fnmatch import fnmatch try: frozenset except NameError: from sets import ImmutableSet as frozenset DEFAULT_EXCLUDE = '.svn,CVS,.bzr,.hg,.git' DEFAULT_IGNORE = 'E24' MAX_LINE_LENGTH = 79 INDENT_REGEX = re.compile(r'([ \t]*)') RAISE_COMMA_REGEX = re.compile(r'raise\s+\w+\s*(,)') SELFTEST_REGEX = re.compile(r'(Okay|[EW]\d{3}):\s(.*)') ERRORCODE_REGEX = re.compile(r'[EW]\d{3}') DOCSTRING_REGEX = re.compile(r'u?r?["\']') WHITESPACE_AROUND_OPERATOR_REGEX = \ re.compile('([^\w\s]*)\s*(\t| )\s*([^\w\s]*)') EXTRANEOUS_WHITESPACE_REGEX = re.compile(r'[[({] | []}),;:]') WHITESPACE_AROUND_NAMED_PARAMETER_REGEX = \ re.compile(r'[()]|\s=[^=]|[^=!<>]=\s') WHITESPACE = ' \t' BINARY_OPERATORS = frozenset(['**=', '*=', '+=', '-=', '!=', '<>', '%=', '^=', '&=', '|=', '==', '/=', '//=', '<=', '>=', '<<=', '>>=', '%', '^', '&', '|', '=', '/', '//', '<', '>', '<<']) UNARY_OPERATORS = frozenset(['>>', '**', '*', '+', '-']) OPERATORS = BINARY_OPERATORS | UNARY_OPERATORS SKIP_TOKENS = frozenset([tokenize.COMMENT, tokenize.NL, tokenize.INDENT, tokenize.DEDENT, tokenize.NEWLINE]) E225NOT_KEYWORDS = (frozenset(keyword.kwlist + ['print']) - frozenset(['False', 'None', 'True'])) BENCHMARK_KEYS = ('directories', 'files', 'logical lines', 'physical lines') options = None args = None ############################################################################## # Plugins (check functions) for physical lines ############################################################################## def tabs_or_spaces(physical_line, indent_char): r""" Never mix tabs and spaces. The most popular way of indenting Python is with spaces only. The second-most popular way is with tabs only. Code indented with a mixture of tabs and spaces should be converted to using spaces exclusively. When invoking the Python command line interpreter with the -t option, it issues warnings about code that illegally mixes tabs and spaces. When using -tt these warnings become errors. These options are highly recommended! Okay: if a == 0:\n a = 1\n b = 1 E101: if a == 0:\n a = 1\n\tb = 1 """ indent = INDENT_REGEX.match(physical_line).group(1) for offset, char in enumerate(indent): if char != indent_char: return offset, "E101 indentation contains mixed spaces and tabs" def tabs_obsolete(physical_line): r""" For new projects, spaces-only are strongly recommended over tabs. Most editors have features that make this easy to do. Okay: if True:\n return W191: if True:\n\treturn """ indent = INDENT_REGEX.match(physical_line).group(1) if indent.count('\t'): return indent.index('\t'), "W191 indentation contains tabs" def trailing_whitespace(physical_line): r""" JCR: Trailing whitespace is superfluous. FBM: Except when it occurs as part of a blank line (i.e. the line is nothing but whitespace). According to Python docs[1] a line with only whitespace is considered a blank line, and is to be ignored. However, matching a blank line to its indentation level avoids mistakenly terminating a multi-line statement (e.g. class declaration) when pasting code into the standard Python interpreter. [1] http://docs.python.org/reference/lexical_analysis.html#blank-lines The warning returned varies on whether the line itself is blank, for easier filtering for those who want to indent their blank lines. Okay: spam(1) W291: spam(1)\s W293: class Foo(object):\n \n bang = 12 """ physical_line = physical_line.rstrip('\n') # chr(10), newline physical_line = physical_line.rstrip('\r') # chr(13), carriage return physical_line = physical_line.rstrip('\x0c') # chr(12), form feed, ^L stripped = physical_line.rstrip() if physical_line != stripped: if stripped: return len(stripped), "W291 trailing whitespace" else: return 0, "W293 blank line contains whitespace" def trailing_blank_lines(physical_line, lines, line_number): r""" JCR: Trailing blank lines are superfluous. Okay: spam(1) W391: spam(1)\n """ if physical_line.strip() == '' and line_number == len(lines): return 0, "W391 blank line at end of file" def missing_newline(physical_line): """ JCR: The last line should have a newline. """ if physical_line.rstrip() == physical_line: return len(physical_line), "W292 no newline at end of file" def maximum_line_length(physical_line): """ Limit all lines to a maximum of 79 characters. There are still many devices around that are limited to 80 character lines; plus, limiting windows to 80 characters makes it possible to have several windows side-by-side. The default wrapping on such devices looks ugly. Therefore, please limit all lines to a maximum of 79 characters. For flowing long blocks of text (docstrings or comments), limiting the length to 72 characters is recommended. """ line = physical_line.rstrip() length = len(line) if length > MAX_LINE_LENGTH: try: # The line could contain multi-byte characters if not hasattr(line, 'decode'): # Python 3 line = line.encode('latin-1') length = len(line.decode('utf-8')) except UnicodeDecodeError: pass if length > MAX_LINE_LENGTH: return MAX_LINE_LENGTH, "E501 line too long (%d characters)" % length ############################################################################## # Plugins (check functions) for logical lines ############################################################################## def blank_lines(logical_line, blank_lines, indent_level, line_number, previous_logical, previous_indent_level, blank_lines_before_comment): r""" Separate top-level function and class definitions with two blank lines. Method definitions inside a class are separated by a single blank line. Extra blank lines may be used (sparingly) to separate groups of related functions. Blank lines may be omitted between a bunch of related one-liners (e.g. a set of dummy implementations). Use blank lines in functions, sparingly, to indicate logical sections. Okay: def a():\n pass\n\n\ndef b():\n pass Okay: def a():\n pass\n\n\n# Foo\n# Bar\n\ndef b():\n pass E301: class Foo:\n b = 0\n def bar():\n pass E302: def a():\n pass\n\ndef b(n):\n pass E303: def a():\n pass\n\n\n\ndef b(n):\n pass E303: def a():\n\n\n\n pass E304: @decorator\n\ndef a():\n pass """ if line_number == 1: return # Don't expect blank lines before the first line max_blank_lines = max(blank_lines, blank_lines_before_comment) if previous_logical.startswith('@'): if max_blank_lines: return 0, "E304 blank lines found after function decorator" elif max_blank_lines > 2 or (indent_level and max_blank_lines == 2): return 0, "E303 too many blank lines (%d)" % max_blank_lines elif (logical_line.startswith('def ') or logical_line.startswith('class ') or logical_line.startswith('@')): if indent_level: if not (max_blank_lines or previous_indent_level < indent_level or DOCSTRING_REGEX.match(previous_logical)): return 0, "E301 expected 1 blank line, found 0" elif max_blank_lines != 2: return 0, "E302 expected 2 blank lines, found %d" % max_blank_lines def extraneous_whitespace(logical_line): """ Avoid extraneous whitespace in the following situations: - Immediately inside parentheses, brackets or braces. - Immediately before a comma, semicolon, or colon. Okay: spam(ham[1], {eggs: 2}) E201: spam( ham[1], {eggs: 2}) E201: spam(ham[ 1], {eggs: 2}) E201: spam(ham[1], { eggs: 2}) E202: spam(ham[1], {eggs: 2} ) E202: spam(ham[1 ], {eggs: 2}) E202: spam(ham[1], {eggs: 2 }) E203: if x == 4: print x, y; x, y = y , x E203: if x == 4: print x, y ; x, y = y, x E203: if x == 4 : print x, y; x, y = y, x """ line = logical_line for match in EXTRANEOUS_WHITESPACE_REGEX.finditer(line): text = match.group() char = text.strip() found = match.start() if text == char + ' ' and char in '([{': return found + 1, "E201 whitespace after '%s'" % char if text == ' ' + char and line[found - 1] != ',': if char in '}])': return found, "E202 whitespace before '%s'" % char if char in ',;:': return found, "E203 whitespace before '%s'" % char def missing_whitespace(logical_line): """ JCR: Each comma, semicolon or colon should be followed by whitespace. Okay: [a, b] Okay: (3,) Okay: a[1:4] Okay: a[:4] Okay: a[1:] Okay: a[1:4:2] E231: ['a','b'] E231: foo(bar,baz) """ line = logical_line for index in range(len(line) - 1): char = line[index] if char in ',;:' and line[index + 1] not in WHITESPACE: before = line[:index] if char == ':' and before.count('[') > before.count(']'): continue # Slice syntax, no space required if char == ',' and line[index + 1] == ')': continue # Allow tuple with only one element: (3,) return index, "E231 missing whitespace after '%s'" % char def indentation(logical_line, previous_logical, indent_char, indent_level, previous_indent_level): r""" Use 4 spaces per indentation level. For really old code that you don't want to mess up, you can continue to use 8-space tabs. Okay: a = 1 Okay: if a == 0:\n a = 1 E111: a = 1 Okay: for item in items:\n pass E112: for item in items:\npass Okay: a = 1\nb = 2 E113: a = 1\n b = 2 """ if indent_char == ' ' and indent_level % 4: return 0, "E111 indentation is not a multiple of four" indent_expect = previous_logical.endswith(':') if indent_expect and indent_level <= previous_indent_level: return 0, "E112 expected an indented block" if indent_level > previous_indent_level and not indent_expect: return 0, "E113 unexpected indentation" def whitespace_before_parameters(logical_line, tokens): """ Avoid extraneous whitespace in the following situations: - Immediately before the open parenthesis that starts the argument list of a function call. - Immediately before the open parenthesis that starts an indexing or slicing. Okay: spam(1) E211: spam (1) Okay: dict['key'] = list[index] E211: dict ['key'] = list[index] E211: dict['key'] = list [index] """ prev_type = tokens[0][0] prev_text = tokens[0][1] prev_end = tokens[0][3] for index in range(1, len(tokens)): token_type, text, start, end, line = tokens[index] if (token_type == tokenize.OP and text in '([' and start != prev_end and (prev_type == tokenize.NAME or prev_text in '}])') and # Syntax "class A (B):" is allowed, but avoid it (index < 2 or tokens[index - 2][1] != 'class') and # Allow "return (a.foo for a in range(5))" (not keyword.iskeyword(prev_text))): return prev_end, "E211 whitespace before '%s'" % text prev_type = token_type prev_text = text prev_end = end def whitespace_around_operator(logical_line): """ Avoid extraneous whitespace in the following situations: - More than one space around an assignment (or other) operator to align it with another. Okay: a = 12 + 3 E221: a = 4 + 5 E222: a = 4 + 5 E223: a = 4\t+ 5 E224: a = 4 +\t5 """ for match in WHITESPACE_AROUND_OPERATOR_REGEX.finditer(logical_line): before, whitespace, after = match.groups() tab = whitespace == '\t' offset = match.start(2) if before in OPERATORS: return offset, (tab and "E224 tab after operator" or "E222 multiple spaces after operator") elif after in OPERATORS: return offset, (tab and "E223 tab before operator" or "E221 multiple spaces before operator") def missing_whitespace_around_operator(logical_line, tokens): r""" - Always surround these binary operators with a single space on either side: assignment (=), augmented assignment (+=, -= etc.), comparisons (==, <, >, !=, <>, <=, >=, in, not in, is, is not), Booleans (and, or, not). - Use spaces around arithmetic operators. Okay: i = i + 1 Okay: submitted += 1 Okay: x = x * 2 - 1 Okay: hypot2 = x * x + y * y Okay: c = (a + b) * (a - b) Okay: foo(bar, key='word', *args, **kwargs) Okay: baz(**kwargs) Okay: negative = -1 Okay: spam(-1) Okay: alpha[:-i] Okay: if not -5 < x < +5:\n pass Okay: lambda *args, **kw: (args, kw) E225: i=i+1 E225: submitted +=1 E225: x = x*2 - 1 E225: hypot2 = x*x + y*y E225: c = (a+b) * (a-b) E225: c = alpha -4 E225: z = x **y """ parens = 0 need_space = False prev_type = tokenize.OP prev_text = prev_end = None for token_type, text, start, end, line in tokens: if token_type in (tokenize.NL, tokenize.NEWLINE, tokenize.ERRORTOKEN): # ERRORTOKEN is triggered by backticks in Python 3000 continue if text in ('(', 'lambda'): parens += 1 elif text == ')': parens -= 1 if need_space: if start != prev_end: need_space = False elif text == '>' and prev_text == '<': # Tolerate the "<>" operator, even if running Python 3 pass else: return prev_end, "E225 missing whitespace around operator" elif token_type == tokenize.OP and prev_end is not None: if text == '=' and parens: # Allow keyword args or defaults: foo(bar=None). pass elif text in BINARY_OPERATORS: need_space = True elif text in UNARY_OPERATORS: # Allow unary operators: -123, -x, +1. # Allow argument unpacking: foo(*args, **kwargs). if prev_type == tokenize.OP: if prev_text in '}])': need_space = True elif prev_type == tokenize.NAME: if prev_text not in E225NOT_KEYWORDS: need_space = True else: need_space = True if need_space and start == prev_end: return prev_end, "E225 missing whitespace around operator" prev_type = token_type prev_text = text prev_end = end def whitespace_around_comma(logical_line): """ Avoid extraneous whitespace in the following situations: - More than one space around an assignment (or other) operator to align it with another. JCR: This should also be applied around comma etc. Note: these checks are disabled by default Okay: a = (1, 2) E241: a = (1, 2) E242: a = (1,\t2) """ line = logical_line for separator in ',;:': found = line.find(separator + ' ') if found > -1: return found + 1, "E241 multiple spaces after '%s'" % separator found = line.find(separator + '\t') if found > -1: return found + 1, "E242 tab after '%s'" % separator def whitespace_around_named_parameter_equals(logical_line): """ Don't use spaces around the '=' sign when used to indicate a keyword argument or a default parameter value. Okay: def complex(real, imag=0.0): Okay: return magic(r=real, i=imag) Okay: boolean(a == b) Okay: boolean(a != b) Okay: boolean(a <= b) Okay: boolean(a >= b) E251: def complex(real, imag = 0.0): E251: return magic(r = real, i = imag) """ parens = 0 for match in WHITESPACE_AROUND_NAMED_PARAMETER_REGEX.finditer( logical_line): text = match.group() if parens and len(text) == 3: issue = "E251 no spaces around keyword / parameter equals" return match.start(), issue if text == '(': parens += 1 elif text == ')': parens -= 1 def whitespace_before_inline_comment(logical_line, tokens): """ Separate inline comments by at least two spaces. An inline comment is a comment on the same line as a statement. Inline comments should be separated by at least two spaces from the statement. They should start with a # and a single space. Okay: x = x + 1 # Increment x Okay: x = x + 1 # Increment x E261: x = x + 1 # Increment x E262: x = x + 1 #Increment x E262: x = x + 1 # Increment x """ prev_end = (0, 0) for token_type, text, start, end, line in tokens: if token_type == tokenize.NL: continue if token_type == tokenize.COMMENT: if not line[:start[1]].strip(): continue if prev_end[0] == start[0] and start[1] < prev_end[1] + 2: return (prev_end, "E261 at least two spaces before inline comment") if (len(text) > 1 and text.startswith('# ') or not text.startswith('# ')): return start, "E262 inline comment should start with '# '" else: prev_end = end def imports_on_separate_lines(logical_line): r""" Imports should usually be on separate lines. Okay: import os\nimport sys E401: import sys, os Okay: from subprocess import Popen, PIPE Okay: from myclas import MyClass Okay: from foo.bar.yourclass import YourClass Okay: import myclass Okay: import foo.bar.yourclass """ line = logical_line if line.startswith('import '): found = line.find(',') if found > -1: return found, "E401 multiple imports on one line" def compound_statements(logical_line): r""" Compound statements (multiple statements on the same line) are generally discouraged. While sometimes it's okay to put an if/for/while with a small body on the same line, never do this for multi-clause statements. Also avoid folding such long lines! Okay: if foo == 'blah':\n do_blah_thing() Okay: do_one() Okay: do_two() Okay: do_three() E701: if foo == 'blah': do_blah_thing() E701: for x in lst: total += x E701: while t < 10: t = delay() E701: if foo == 'blah': do_blah_thing() E701: else: do_non_blah_thing() E701: try: something() E701: finally: cleanup() E701: if foo == 'blah': one(); two(); three() E702: do_one(); do_two(); do_three() """ line = logical_line found = line.find(':') if -1 < found < len(line) - 1: before = line[:found] if (before.count('{') <= before.count('}') and # {'a': 1} (dict) before.count('[') <= before.count(']') and # [1:2] (slice) not re.search(r'\blambda\b', before)): # lambda x: x return found, "E701 multiple statements on one line (colon)" found = line.find(';') if -1 < found: return found, "E702 multiple statements on one line (semicolon)" def python_3000_has_key(logical_line): """ The {}.has_key() method will be removed in the future version of Python. Use the 'in' operation instead, like: d = {"a": 1, "b": 2} if "b" in d: print d["b"] """ pos = logical_line.find('.has_key(') if pos > -1: return pos, "W601 .has_key() is deprecated, use 'in'" def python_3000_raise_comma(logical_line): """ When raising an exception, use "raise ValueError('message')" instead of the older form "raise ValueError, 'message'". The paren-using form is preferred because when the exception arguments are long or include string formatting, you don't need to use line continuation characters thanks to the containing parentheses. The older form will be removed in Python 3000. """ match = RAISE_COMMA_REGEX.match(logical_line) if match: return match.start(1), "W602 deprecated form of raising exception" def python_3000_not_equal(logical_line): """ != can also be written <>, but this is an obsolete usage kept for backwards compatibility only. New code should always use !=. The older syntax is removed in Python 3000. """ pos = logical_line.find('<>') if pos > -1: return pos, "W603 '<>' is deprecated, use '!='" def python_3000_backticks(logical_line): """ Backticks are removed in Python 3000. Use repr() instead. """ pos = logical_line.find('`') if pos > -1: return pos, "W604 backticks are deprecated, use 'repr()'" def python_3000_print(logical_line): """ Use Python 3 compatible print statement. Okay: print('hello %s' % you) E802: print 'hello', you """ if logical_line.lstrip().startswith('print '): start = logical_line.find('print') return start, 'E802 not Python 3 compatible, use print(...)' def single_quoted_strings(logical_line, tokens): """ Use single quoted strings instead of double quoted, unless the string contains a single quote. Okay: s = 'abc' E801: s = "abc" Okay: s = "don't" """ for type, text, start, stop, line in tokens: if (type == tokenize.STRING and not text.startswith('"""') and text[0] == '"' and "'" not in text): if len(text) > 30: text = text[:28] + ' ..."' return start, 'E801 double quoted string: %s' % text ############################################################################## # Helper functions ############################################################################## if '' == ''.encode(): # Python 2: implicit encoding. def readlines(filename): return open(filename).readlines() else: # Python 3: decode to latin-1. # This function is lazy, it does not read the encoding declaration. # XXX: use tokenize.detect_encoding() def readlines(filename): return open(filename, encoding='latin-1').readlines() def expand_indent(line): """ Return the amount of indentation. Tabs are expanded to the next multiple of 8. >>> expand_indent(' ') 4 >>> expand_indent('\\t') 8 >>> expand_indent(' \\t') 8 >>> expand_indent(' \\t') 8 >>> expand_indent(' \\t') 16 """ result = 0 for char in line: if char == '\t': result = result // 8 * 8 + 8 elif char == ' ': result += 1 else: break return result def mute_string(text): """ Replace contents with 'xxx' to prevent syntax matching. >>> mute_string('"abc"') '"xxx"' >>> mute_string("'''abc'''") "'''xxx'''" >>> mute_string("r'abc'") "r'xxx'" """ start = 1 end = len(text) - 1 # String modifiers (e.g. u or r) if text.endswith('"'): start += text.index('"') elif text.endswith("'"): start += text.index("'") # Triple quotes if text.endswith('"""') or text.endswith("'''"): start += 2 end -= 2 return text[:start] + 'x' * (end - start) + text[end:] def message(text): """Print a message.""" # print >> sys.stderr, options.prog + ': ' + text # print >> sys.stderr, text print(text) ############################################################################## # Framework to run all checks ############################################################################## def find_checks(argument_name): """ Find all globally visible functions where the first argument name starts with argument_name. """ checks = [] for name, function in globals().items(): if not inspect.isfunction(function): continue args = inspect.getargspec(function)[0] if args and args[0].startswith(argument_name): codes = ERRORCODE_REGEX.findall(inspect.getdoc(function) or '') for code in codes or ['']: if not code or not ignore_code(code): checks.append((name, function, args)) break checks.sort() return checks class Checker(object): """ Load a Python source file, tokenize it, check coding style. """ def __init__(self, filename, lines=None): self.filename = filename if filename is None: self.filename = 'stdin' self.lines = lines or [] elif lines is None: self.lines = readlines(filename) else: self.lines = lines options.counters['physical lines'] += len(self.lines) def readline(self): """ Get the next line from the input buffer. """ self.line_number += 1 if self.line_number > len(self.lines): return '' return self.lines[self.line_number - 1] def readline_check_physical(self): """ Check and return the next physical line. This method can be used to feed tokenize.generate_tokens. """ line = self.readline() if line: self.check_physical(line) return line def run_check(self, check, argument_names): """ Run a check plugin. """ arguments = [] for name in argument_names: arguments.append(getattr(self, name)) return check(*arguments) def check_physical(self, line): """ Run all physical checks on a raw input line. """ self.physical_line = line if self.indent_char is None and len(line) and line[0] in ' \t': self.indent_char = line[0] for name, check, argument_names in options.physical_checks: result = self.run_check(check, argument_names) if result is not None: offset, text = result self.report_error(self.line_number, offset, text, check) def build_tokens_line(self): """ Build a logical line from tokens. """ self.mapping = [] logical = [] length = 0 previous = None for token in self.tokens: token_type, text = token[0:2] if token_type in SKIP_TOKENS: continue if token_type == tokenize.STRING: text = mute_string(text) if previous: end_line, end = previous[3] start_line, start = token[2] if end_line != start_line: # different row prev_text = self.lines[end_line - 1][end - 1] if prev_text == ',' or (prev_text not in '{[(' and text not in '}])'): logical.append(' ') length += 1 elif end != start: # different column fill = self.lines[end_line - 1][end:start] logical.append(fill) length += len(fill) self.mapping.append((length, token)) logical.append(text) length += len(text) previous = token self.logical_line = ''.join(logical) assert self.logical_line.lstrip() == self.logical_line assert self.logical_line.rstrip() == self.logical_line def check_logical(self): """ Build a line from tokens and run all logical checks on it. """ options.counters['logical lines'] += 1 self.build_tokens_line() first_line = self.lines[self.mapping[0][1][2][0] - 1] indent = first_line[:self.mapping[0][1][2][1]] self.previous_indent_level = self.indent_level self.indent_level = expand_indent(indent) if options.verbose >= 2: print(self.logical_line[:80].rstrip()) for name, check, argument_names in options.logical_checks: if options.verbose >= 4: print(' ' + name) result = self.run_check(check, argument_names) if result is not None: offset, text = result if isinstance(offset, tuple): original_number, original_offset = offset else: for token_offset, token in self.mapping: if offset >= token_offset: original_number = token[2][0] original_offset = (token[2][1] + offset - token_offset) self.report_error(original_number, original_offset, text, check) self.previous_logical = self.logical_line def check_all(self, expected=None, line_offset=0): """ Run all checks on the input file. """ self.expected = expected or () self.line_offset = line_offset self.line_number = 0 self.file_errors = 0 self.indent_char = None self.indent_level = 0 self.previous_logical = '' self.blank_lines = 0 self.blank_lines_before_comment = 0 self.tokens = [] parens = 0 for token in tokenize.generate_tokens(self.readline_check_physical): if options.verbose >= 3: if token[2][0] == token[3][0]: pos = '[%s:%s]' % (token[2][1] or '', token[3][1]) else: pos = 'l.%s' % token[3][0] print('l.%s\t%s\t%s\t%r' % (token[2][0], pos, tokenize.tok_name[token[0]], token[1])) self.tokens.append(token) token_type, text = token[0:2] if token_type == tokenize.OP and text in '([{': parens += 1 if token_type == tokenize.OP and text in '}])': parens -= 1 if token_type == tokenize.NEWLINE and not parens: self.check_logical() self.blank_lines = 0 self.blank_lines_before_comment = 0 self.tokens = [] if token_type == tokenize.NL and not parens: if len(self.tokens) <= 1: # The physical line contains only this token. self.blank_lines += 1 self.tokens = [] if token_type == tokenize.COMMENT: source_line = token[4] token_start = token[2][1] if source_line[:token_start].strip() == '': self.blank_lines_before_comment = max(self.blank_lines, self.blank_lines_before_comment) self.blank_lines = 0 if text.endswith('\n') and not parens: # The comment also ends a physical line. This works around # Python < 2.6 behaviour, which does not generate NL after # a comment which is on a line by itself. self.tokens = [] return self.file_errors def report_error(self, line_number, offset, text, check): """ Report an error, according to options. """ code = text[:4] if ignore_code(code): return if options.quiet == 1 and not self.file_errors: message(self.filename) if code in options.counters: options.counters[code] += 1 else: options.counters[code] = 1 options.messages[code] = text[5:] if options.quiet or code in self.expected: # Don't care about expected errors or warnings return self.file_errors += 1 if options.counters[code] == 1 or options.repeat: message("%s:%s:%d: %s" % (self.filename, self.line_offset + line_number, offset + 1, text)) if options.show_source: line = self.lines[line_number - 1] message(line.rstrip()) message(' ' * offset + '^') if options.show_pep8: message(check.__doc__.lstrip('\n').rstrip()) def input_file(filename): """ Run all checks on a Python source file. """ if options.verbose: message('checking ' + filename) errors = Checker(filename).check_all() def input_dir(dirname, runner=None): """ Check all Python source files in this directory and all subdirectories. """ dirname = dirname.rstrip('/') if excluded(dirname): return if runner is None: runner = input_file for root, dirs, files in os.walk(dirname): if options.verbose: message('directory ' + root) options.counters['directories'] += 1 dirs.sort() for subdir in dirs: if excluded(subdir): dirs.remove(subdir) files.sort() for filename in files: if filename_match(filename) and not excluded(filename): options.counters['files'] += 1 runner(os.path.join(root, filename)) def excluded(filename): """ Check if options.exclude contains a pattern that matches filename. """ basename = os.path.basename(filename) for pattern in options.exclude: if fnmatch(basename, pattern): # print basename, 'excluded because it matches', pattern return True def filename_match(filename): """ Check if options.filename contains a pattern that matches filename. If options.filename is unspecified, this always returns True. """ if not options.filename: return True for pattern in options.filename: if fnmatch(filename, pattern): return True def ignore_code(code): """ Check if options.ignore contains a prefix of the error code. If options.select contains a prefix of the error code, do not ignore it. """ for select in options.select: if code.startswith(select): return False for ignore in options.ignore: if code.startswith(ignore): return True def reset_counters(): for key in list(options.counters.keys()): if key not in BENCHMARK_KEYS: del options.counters[key] options.messages = {} def get_error_statistics(): """Get error statistics.""" return get_statistics("E") def get_warning_statistics(): """Get warning statistics.""" return get_statistics("W") def get_statistics(prefix=''): """ Get statistics for message codes that start with the prefix. prefix='' matches all errors and warnings prefix='E' matches all errors prefix='W' matches all warnings prefix='E4' matches all errors that have to do with imports """ stats = [] keys = list(options.messages.keys()) keys.sort() for key in keys: if key.startswith(prefix): stats.append('%-7s %s %s' % (options.counters[key], key, options.messages[key])) return stats def get_count(prefix=''): """Return the total count of errors and warnings.""" keys = list(options.messages.keys()) count = 0 for key in keys: if key.startswith(prefix): count += options.counters[key] return count def print_statistics(prefix=''): """Print overall statistics (number of errors and warnings).""" for line in get_statistics(prefix): print(line) def print_benchmark(elapsed): """ Print benchmark numbers. """ print('%-7.2f %s' % (elapsed, 'seconds elapsed')) for key in BENCHMARK_KEYS: print('%-7d %s per second (%d total)' % ( options.counters[key] / elapsed, key, options.counters[key])) def run_tests(filename): """ Run all the tests from a file. A test file can provide many tests. Each test starts with a declaration. This declaration is a single line starting with '#:'. It declares codes of expected failures, separated by spaces or 'Okay' if no failure is expected. If the file does not contain such declaration, it should pass all tests. If the declaration is empty, following lines are not checked, until next declaration. Examples: * Only E224 and W701 are expected: #: E224 W701 * Following example is conform: #: Okay * Don't check these lines: #: """ lines = readlines(filename) + ['#:\n'] line_offset = 0 codes = ['Okay'] testcase = [] for index, line in enumerate(lines): if not line.startswith('#:'): if codes: # Collect the lines of the test case testcase.append(line) continue if codes and index > 0: label = '%s:%s:1' % (filename, line_offset + 1) codes = [c for c in codes if c != 'Okay'] # Run the checker errors = Checker(filename, testcase).check_all(codes, line_offset) # Check if the expected errors were found for code in codes: if not options.counters.get(code): errors += 1 message('%s: error %s not found' % (label, code)) if options.verbose and not errors: message('%s: passed (%s)' % (label, ' '.join(codes))) # Keep showing errors for multiple tests reset_counters() # output the real line numbers line_offset = index # configure the expected errors codes = line.split()[1:] # empty the test case buffer del testcase[:] def selftest(): """ Test all check functions with test cases in docstrings. """ count_passed = 0 count_failed = 0 checks = options.physical_checks + options.logical_checks for name, check, argument_names in checks: for line in check.__doc__.splitlines(): line = line.lstrip() match = SELFTEST_REGEX.match(line) if match is None: continue code, source = match.groups() checker = Checker(None) for part in source.split(r'\n'): part = part.replace(r'\t', '\t') part = part.replace(r'\s', ' ') checker.lines.append(part + '\n') options.quiet = 2 checker.check_all() error = None if code == 'Okay': if len(options.counters) > len(BENCHMARK_KEYS): codes = [key for key in options.counters.keys() if key not in BENCHMARK_KEYS] error = "incorrectly found %s" % ', '.join(codes) elif not options.counters.get(code): error = "failed to find %s" % code # Reset the counters reset_counters() if not error: count_passed += 1 else: count_failed += 1 if len(checker.lines) == 1: print("pep8.py: %s: %s" % (error, checker.lines[0].rstrip())) else: print("pep8.py: %s:" % error) for line in checker.lines: print(line.rstrip()) if options.verbose: print("%d passed and %d failed." % (count_passed, count_failed)) if count_failed: print("Test failed.") else: print("Test passed.") def process_options(arglist=None): """ Process options passed either via arglist or via command line args. """ global options, args parser = OptionParser(version=__version__, usage="%prog [options] input ...") parser.add_option('-v', '--verbose', default=0, action='count', help="print status messages, or debug with -vv") parser.add_option('-q', '--quiet', default=0, action='count', help="report only file names, or nothing with -qq") parser.add_option('-r', '--repeat', action='store_true', help="show all occurrences of the same error") parser.add_option('--exclude', metavar='patterns', default=DEFAULT_EXCLUDE, help="exclude files or directories which match these " "comma separated patterns (default: %s)" % DEFAULT_EXCLUDE) parser.add_option('--filename', metavar='patterns', default='*.py', help="when parsing directories, only check filenames " "matching these comma separated patterns (default: " "*.py)") parser.add_option('--select', metavar='errors', default='', help="select errors and warnings (e.g. E,W6)") parser.add_option('--ignore', metavar='errors', default='', help="skip errors and warnings (e.g. E4,W)") parser.add_option('--show-source', action='store_true', help="show source code for each error") parser.add_option('--show-pep8', action='store_true', help="show text of PEP 8 for each error") parser.add_option('--statistics', action='store_true', help="count errors and warnings") parser.add_option('--count', action='store_true', help="print total number of errors and warnings " "to standard error and set exit code to 1 if " "total is not null") parser.add_option('--benchmark', action='store_true', help="measure processing speed") parser.add_option('--testsuite', metavar='dir', help="run regression tests from dir") parser.add_option('--doctest', action='store_true', help="run doctest on myself") options, args = parser.parse_args(arglist) if options.testsuite: args.append(options.testsuite) if not args and not options.doctest: parser.error('input not specified') options.prog = os.path.basename(sys.argv[0]) options.exclude = options.exclude.split(',') for index in range(len(options.exclude)): options.exclude[index] = options.exclude[index].rstrip('/') if options.filename: options.filename = options.filename.split(',') if options.select: options.select = options.select.split(',') else: options.select = [] if options.ignore: options.ignore = options.ignore.split(',') elif options.select: # Ignore all checks which are not explicitly selected options.ignore = [''] elif options.testsuite or options.doctest: # For doctest and testsuite, all checks are required options.ignore = [] else: # The default choice: ignore controversial checks options.ignore = DEFAULT_IGNORE.split(',') options.physical_checks = find_checks('physical_line') options.logical_checks = find_checks('logical_line') options.counters = dict.fromkeys(BENCHMARK_KEYS, 0) options.messages = {} return options, args def _main(): """ Parse options and run checks on Python source. """ options, args = process_options() if options.doctest: import doctest doctest.testmod(verbose=options.verbose) selftest() if options.testsuite: runner = run_tests else: runner = input_file start_time = time.time() for path in args: if os.path.isdir(path): input_dir(path, runner=runner) elif not excluded(path): options.counters['files'] += 1 runner(path) elapsed = time.time() - start_time if options.statistics: print_statistics() if options.benchmark: print_benchmark(elapsed) count = get_count() if count: if options.count: sys.stderr.write(str(count) + '\n') sys.exit(1) if __name__ == '__main__': _main() python-ase-3.6.0.2515/tools/ag0000755000175400017540000000007311410145374014655 0ustar askhlaskhl#!/usr/bin/env python from ase.gui.ag import main main() python-ase-3.6.0.2515/tools/ase0000755000175400017540000000007711647035022015042 0ustar askhlaskhl#!/usr/bin/env python from ase.tasks.main import main main() python-ase-3.6.0.2515/tools/testase.py0000755000175400017540000000022611026166242016365 0ustar askhlaskhl#!/usr/bin/env python from sys import argv display = (len(argv) != 2 or argv[1] != '--no-display') from ase.test import test test(2, display=display) python-ase-3.6.0.2515/MANIFEST.in0000644000175400017540000000022011716703044014733 0ustar askhlaskhlinclude ase/lattice/spacegroup/spacegroup.dat include ase/gui/po/ag.pot include ase/gui/po/makefile include ase/gui/po/??_??/LC_MESSAGES/ag.po python-ase-3.6.0.2515/tutorials/0000755000175400017540000000000011757245034015236 5ustar askhlaskhlpython-ase-3.6.0.2515/tutorials/N2Ru-Dissociation2.py0000644000175400017540000000134711410127017021075 0ustar askhlaskhlimport numpy as np from ase.io import read from ase.constraints import FixAtoms from ase.calculators.emt import EMT from ase.neb import NEB from ase.optimize import QuasiNewton initial = read('N2.traj') final = read('2N.traj') configs = [initial.copy() for i in range(8)] + [final] constraint = FixAtoms(mask=[atom.symbol != 'N' for atom in initial]) for config in configs: config.set_calculator(EMT()) config.set_constraint(constraint) band = NEB(configs) band.interpolate() # Create a quickmin object: relax = QuasiNewton(band) relax.run(steps=20) e0 = initial.get_potential_energy() for config in configs: d = config[-2].position - config[-1].position print np.linalg.norm(d), config.get_potential_energy() - e0 python-ase-3.6.0.2515/tutorials/N2Ru-Dissociation2-ANEB.py0000644000175400017540000000260711004120066021574 0ustar askhlaskhlfrom ase import * # XXX This cannot be converted to ase 3, since we lack ANEB raise NotImplementedError #from ASE.Calculators.PairPotential import PairPotential #from ASE.Filters.Subset import Subset #from ASE.Dynamics.AdaptiveNudgedElasticBand import AdaptiveNudgedElasticBand #from ASE.IO.NetCDF import ReadNetCDF import os # check that N2.nc and 2N.nc exists otherwise run # N2Ru-Dissociation1.py if not (os.path.exists('N2.nc') and os.path.exists('N2.nc')): os.system('python N2Ru-Dissociation1.py') initial = read('N2.traj') final = read('2N.traj') configs = [initial.copy() for i in range(4)] + [final] constraint = FixAtoms(mask=[atom.symbol != 'N' for atom in initial]) for config in configs: config.set_calculator(EMT()) config.set_constraint(constraint) band = NEB(configs) band.interpolate() # Create a quickmin object: relax = QuasiNewton(band) #configs0 = [initial] #for i in range(3): # configs0.append(initial.Copy()) #configs0.append(final) # #configs = [] #for config in configs0: # config.SetCalculator(PairPotential()) # configs.append(Subset(config, indices=[-2, -1])) # setup the Adaptive Nudged Elastic Band dynamics aneb = AdaptiveNudgedElasticBand(configs,prefix='aneb',linear_interpolation=True,maxlevels=1) aneb.Converge() # test the anebfit tool os.system('anebfit aneb') os.system('xmgrace aneb_-1.agr&') # clean up # os.system('rm aneb*conf*') python-ase-3.6.0.2515/tutorials/N2Ru-Association.py0000644000175400017540000000225011004141010020615 0ustar askhlaskhlfrom ase import * #from math import sqrt #from ASE.Calculators.PairPotential import PairPotential #from ASE.Filters.Subset import Subset #from ASE.Filters.FixBondLength import FixBondLength #from ASE.Dynamics.MDMin import MDMin #from ASE.Trajectories.NetCDFTrajectory import NetCDFTrajectory #from ASE.IO.NetCDF import ReadNetCDF slab = read('2N.traj') slab.set_calculator(EMT()) constraint = FixBondLength(-2, -1) #mask=[atom.symbol != 'N' for atom in slab]) #molecule = Subset(slab, indices=[-2, -1]) # Create a trajectory for the dissociation path: path = PickleTrajectory('association.traj', slab) # Put the initial state in the trajectory: path.write() # From now on, we relax the molecule under the constraint of fixed # bond length: #fixed = FixBondLength(molecule, 0, 1) #relax = MDMin(fixed, dt=0.08, fmax=0.05) relax = QuasiNewton(slab) d = linalg.norm(slab[-2].position - slab[-1].position) #d = fixed.GetBondLength() delta = 0.1 e0 = slab.get_potential_energy() print d, 0.0 while d > 1.10: d -= delta fixed.SetBondLength(d, fix='first') # XXX raise NotImplementedError relax.run(fmax=.05) path.write() print d, slab.GetPotentialEnergy() - e0 python-ase-3.6.0.2515/tutorials/N2Ru-Dissociation1.py0000644000175400017540000000246611410127017021077 0ustar askhlaskhlfrom ase import Atoms from ase.calculators.emt import EMT from ase.constraints import FixAtoms from ase.optimize import QuasiNewton from ase.io import write # Find the initial and final states for the reaction. # Set up a (3 x 3) two layer slab of Ru: a = 2.70 c = 1.59 * a sqrt3 = 3. ** .5 bulk = Atoms('2Cu', [(0., 0., 0.), (1./3, 1./3, -0.5*c)], tags=(1, 1), pbc=(1, 1, 0)) bulk.set_cell([(a, 0, 0), (a / 2, sqrt3 * a / 2, 0), (0, 0, 1)]) slab = bulk.repeat((4, 4, 1)) # Initial state. # Add the molecule: x = a / 2. y = a * 3. ** .5 / 6. z = 1.8 d = 1.10 # N2 bond length # Molecular state parallel to the surface: slab += Atoms('2N', [(x, y, z), (x + sqrt3 * d / 2, y + d / 2, z)]) # Use the EMT calculator for the forces and energies: slab.set_calculator(EMT()) # We don't want to worry about the Cu degrees of freedom: mask = [atom.symbol == 'Cu' for atom in slab] slab.set_constraint(FixAtoms(mask=mask)) relax = QuasiNewton(slab) relax.run(fmax=0.05) print 'initial state:', slab.get_potential_energy() write('N2.traj', slab) # Now the final state. # Move the second N atom to a neighboring hollow site: slab[-1].set_position((x + a, y, z)) relax.run() print 'final state: ', slab.get_potential_energy() write('2N.traj', slab) python-ase-3.6.0.2515/tutorials/N2Ru-relax.py0000644000175400017540000000174111410127017017474 0ustar askhlaskhlfrom ase import Atoms from ase.calculators.emt import EMT from ase.optimize import QuasiNewton from ase.constraints import FixAtoms a = 2.70 c = 1.59 * a h = 1.85 d = 1.10 slab = Atoms('2Cu', [(0., 0., 0.), (1/3., 1/3., -0.5*c)], tags=(0, 1), pbc=(1, 1, 0)) slab.set_cell([(a, 0, 0), (a / 2, 3**0.5 * a / 2, 0), (0, 0, 1)]) slab = slab.repeat((4, 4, 1)) slab.set_calculator(EMT()) mask = [a.tag == 1 for a in slab] slab.set_constraint(FixAtoms(mask=mask)) dyn = QuasiNewton(slab) dyn.run(fmax=0.05) e_slab = slab.get_potential_energy() x = slab.positions[0, 2] / (c / 2) * 100 print 'Relaxation of the top layer: %f %%' % x molecule = Atoms('2N', positions=[(0., 0., h), (0., 0., h + d)]) molecule.set_calculator(EMT()) e_N2 = molecule.get_potential_energy() slab.extend(molecule) dyn = QuasiNewton(slab) dyn.run(fmax=0.05) print 'Adsorption energy:', e_slab + e_N2 - slab.get_potential_energy() python-ase-3.6.0.2515/README.txt0000755000175400017540000000011011166435455014703 0ustar askhlaskhl========== Python ASE ========== Webpage: http://wiki.fysik.dtu.dk/ase python-ase-3.6.0.2515/ase/0000755000175400017540000000000011757245036013762 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/tasks/0000755000175400017540000000000011757245036015107 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/tasks/task.py0000644000175400017540000003126111721212447016415 0ustar askhlaskhlimport sys import optparse import traceback from time import time import numpy as np from ase.parallel import world from ase.visualize import view from ase.io import read, write from ase.io import string2index from ase.constraints import FixAtoms from ase.optimize.lbfgs import LBFGS from ase.utils import opencew, devnull, prnt from ase.tasks.io import read_json, write_json from ase.data import chemical_symbols, atomic_numbers from ase.tasks.calcfactory import calculator_factory class Task: taskname = 'generic-task' def __init__(self, calcfactory='emt', tag=None, magmoms=None, gui=False, write_summary=False, use_lock_files=False, write_to_file=None, slice=slice(None), logfile='-'): """Generic task object. This task will do a single of the energy and forces for the configurations that subcalsses define in their build_system() methods. calcfactory: CalculatorFactory object or str A calculator factory or the name of a calculator. For the meaning of the other arguments, see the add_options() and parse_args() methods.""" self.set_calculator_factory(calcfactory) self.tag = tag self.magmoms = magmoms self.gui = gui self.write_summary = write_summary self.use_lock_files = use_lock_files self.write_to_file = write_to_file self.slice = slice if world.rank == 0: if logfile is None: logfile = devnull elif isinstance(logfile, str): if logfile == '-': logfile = sys.stdout else: logfile = open(logfile, 'w') else: logfile = devnull self.logfile = logfile self.write_funcs = [write_json] self.read_func = read_json self.data = {} # data read from json files self.results = {} # results from analysis of json files self.summary_header = [('name', ''), ('E', 'eV')] self.interactive_python_session = False self.contains = None self.modify = None def set_calculator_factory(self, calcfactory): if isinstance(calcfactory, str): calcfactory = calculator_factory(calcfactory) self.calcfactory = calcfactory def log(self, *args, **kwargs): prnt(file=self.logfile, *args, **kwargs) def get_filename(self, name=None, ext=''): filename = self.taskname + '-' + self.calcfactory.name.lower() if self.tag: filename += '-' + self.tag if name: filename = name + '-' + filename return filename + ext def expand(self, names): """Expand ranges like H-Li to H, He, Li.""" if isinstance(names, str): names = [names] newnames = [] for name in names: if name.count('-') == 1: s1, s2 = name.split('-') Z1 = atomic_numbers.get(s1) Z2 = atomic_numbers.get(s2) if Z1 is None or Z2 is None: newnames.append(name) else: newnames.extend(chemical_symbols[Z1:Z2 + 1]) else: newnames.append(name) return newnames def exclude(self, names): newnames = [] for name in names: atoms = self.create_system(name) if (self.contains is None or self.contains in atoms.get_chemical_symbols()): newnames.append(name) return newnames def run(self, names): """Run task far all names. The task will be one of these four: * Open ASE's GUI * Write configuration to file * Write summary * Do the actual calculation """ names = self.expand(names) names = names[self.slice] names = self.exclude(names) if self.gui: for name in names: view(self.create_system(name)) return if self.write_to_file: if self.write_to_file[0] == '.': for name in names: filename = self.get_filename(name, self.write_to_file) write(filename, self.create_system(name)) else: assert len(names) == 1 write(self.write_to_file, self.create_system(names[0])) return if self.write_summary: self.read(names) self.analyse() self.summarize(names) return atoms = None for name in names: if self.use_lock_files: lockfilename = self.get_filename(name, '.json') fd = opencew(lockfilename) if fd is None: self.log('Skipping', name) continue fd.close() atoms = self.run_single(name) return atoms def run_single(self, name): try: atoms = self.create_system(name) except Exception: self.log(name, 'FAILED') traceback.print_exc(file=self.logfile) return atoms.calc = self.calcfactory(self.get_filename(name), atoms) tstart = time() try: data = self.calculate(name, atoms) except KeyboardInterrupt: raise except Exception: self.log(name, 'FAILED') traceback.print_exc(file=self.logfile) return tstop = time() data['time'] = tstop - tstart for write in self.write_funcs: filenamebase = self.get_filename(name) write(filenamebase, atoms, data) return atoms def create_system(self, name): if '.' in name: system = read(name) else: system = self.build_system(name) if self.magmoms is not None: system.set_initial_magnetic_moments( np.tile(self.magmoms, len(system) // len(self.magmoms))) if self.modify: exec self.modify return system def calculate(self, name, atoms): e = atoms.get_potential_energy() f = atoms.get_forces() return {'energy': e, 'forces': f} def read(self, names): self.data = {} for name in names: filenamebase = self.get_filename(name) try: data = self.read_func(filenamebase) except (IOError, SyntaxError, ValueError): continue self.data[name] = data def analyse(self): for name, data in self.data.items(): self.results[name] = [data['energy']] def summarize(self, names): self.log(' '.join('%10s' % x[0] for x in self.summary_header)) self.log(' '.join('%10s' % x[1] for x in self.summary_header)) for name in names: data = self.results.get(name, []) s = '%10s' % name for x in data: if x is None: s += ' ' else: s += '%11.3f' % x self.log(s) def create_parser(self): calcname = self.calcfactory.name parser = optparse.OptionParser( usage='%prog [options] system(s)', description='Run %s calculation.' % calcname) self.add_options(parser) return parser def add_options(self, parser): general = optparse.OptionGroup(parser, 'General') general.add_option('-t', '--tag', help='String tag added to filenames.') general.add_option('-M', '--magnetic-moment', metavar='M1,M2,...', help='Magnetic moment(s). ' + 'Use "-M 1" or "-M 2.3,-2.3".') general.add_option('-G', '--gui', action='store_true', help="Pop up ASE's GUI.") general.add_option('-s', '--write-summary', action='store_true', help='Write summary.') general.add_option('--slice', metavar='start:stop:step', help='Select subset of calculations using ' + 'Python slice syntax. ' + 'Use "::2" to do every second calculation and ' + '":-5" to do the last five.') general.add_option('-w', '--write-to-file', metavar='FILENAME', help='Write configuration to file.') general.add_option('-i', '--interactive-python-session', action='store_true', help='Run calculation inside interactive Python ' + 'session. A possible $PYTHONSTARTUP script ' + 'will be imported and the "atoms" variable ' + 'refers to the Atoms object.') general.add_option('-l', '--use-lock-files', action='store_true', help='Skip calculations where the json ' + 'lock-file or result file already exists.') general.add_option('--contains', metavar='ELEMENT', help='Run only systems containing specific ' + 'element.') general.add_option('--modify', metavar='...', help='Modify system with Python statement. ' + 'Example: "system.positions[-1,2]+=0.1". ' + 'Warning: no spaces allowed!') parser.add_option_group(general) def parse_args(self, args=None): if args is None: args = sys.argv[1:] parser = self.create_parser() self.calcfactory.add_options(parser) opts, args = parser.parse_args(args) if len(args) == 0: parser.error('incorrect number of arguments') self.parse(opts, args) self.calcfactory.parse(opts, args) return args def parse(self, opts, args): if opts.tag: self.tag = opts.tag if opts.magnetic_moment: self.magmoms = np.array( [float(m) for m in opts.magnetic_moment.split(',')]) self.gui = opts.gui self.write_summary = opts.write_summary self.write_to_file = opts.write_to_file self.use_lock_files = opts.use_lock_files self.interactive_python_session = opts.interactive_python_session self.contains = opts.contains self.modify = opts.modify if opts.slice: self.slice = string2index(opts.slice) class OptimizeTask(Task): taskname = 'opt' def __init__(self, fmax=None, constrain_tags=[], **kwargs): self.fmax = fmax self.constrain_tags = constrain_tags Task.__init__(self, **kwargs) self.summary_header.append(('E-E0', 'eV')) def optimize(self, name, atoms): mask = [t in self.constrain_tags for t in atoms.get_tags()] if mask: constrain = FixAtoms(mask=mask) atoms.constraints = [constrain] optimizer = LBFGS(atoms, trajectory=self.get_filename(name, '.traj'), logfile=None) optimizer.run(self.fmax) def calculate(self, name, atoms): data = Task.calculate(self, name, atoms) if self.fmax is not None: self.optimize(name, atoms) data['minimum energy'] = atoms.get_potential_energy() data['minimum forces'] = atoms.get_forces() return data def analyse(self): Task.analyse(self) for name, data in self.data.items(): if 'minimum energy' in data: self.results[name].append(data['energy'] - data['minimum energy']) else: self.results[name].append(None) def add_options(self, parser): Task.add_options(self, parser) optimize = optparse.OptionGroup(parser, 'Optimize') optimize.add_option('-R', '--relax', type='float', metavar='FMAX', help='Relax internal coordinates using L-BFGS ' 'algorithm.') optimize.add_option('--constrain-tags', type='str', metavar='T1,T2,...', help='Constrain atoms with tags T1, T2, ...') parser.add_option_group(optimize) def parse(self, opts, args): Task.parse(self, opts, args) self.fmax = opts.relax if opts.constrain_tags: self.constrain_tags = [int(t) for t in opts.constrain_tags.split(',')] python-ase-3.6.0.2515/ase/tasks/__init__.py0000644000175400017540000000000011647035022017174 0ustar askhlaskhlpython-ase-3.6.0.2515/ase/tasks/bulk.py0000644000175400017540000001250511672645356016426 0ustar askhlaskhlimport optparse import numpy as np from ase.lattice import bulk from ase.tasks.task import OptimizeTask from ase.data import chemical_symbols, reference_states from ase.utils.eos import EquationOfState from ase.io.trajectory import PickleTrajectory import ase.units as units class BulkTask(OptimizeTask): taskname = 'bulk' def __init__(self, crystal_structure=None, lattice_constant=None, c_over_a=None, cubic=False, orthorhombic=False, fit=None, **kwargs): """Bulk task.""" self.crystal_structure = crystal_structure self.lattice_constant = lattice_constant self.c_over_a = c_over_a self.cubic = cubic self.orthorhombic = orthorhombic self.fit = fit self.repeat = None OptimizeTask.__init__(self, **kwargs) self.summary_header += [('V0', 'Ang^3'), ('B', 'GPa')] def expand(self, names): """Expand fcc, bcc, hcp and diamond. The name fcc will be expanded to all the elements with the fcc stucture and so on.""" names = OptimizeTask.expand(self, names) newnames = [] for name in names: if name in ['fcc', 'bcc', 'hcp', 'diamond']: for Z in range(1, 95): x = reference_states[Z] if x is not None and x['symmetry'] == name: newnames.append(chemical_symbols[Z]) else: newnames.append(name) return newnames def build_system(self, name): atoms = bulk(name, crystalstructure=self.crystal_structure, a=self.lattice_constant, covera=self.c_over_a, orthorhombic=self.orthorhombic, cubic=self.cubic) M = {'Fe': 2.3, 'Co': 1.2, 'Ni': 0.6}.get(name) if M is not None: atoms.set_initial_magnetic_moments([M] * len(atoms)) if self.repeat is not None: r = self.repeat.split(',') if len(r) == 1: r = 3 * r atoms = atoms.repeat([int(c) for c in r]) return atoms def fit_volume(self, name, atoms): N, x = self.fit cell0 = atoms.get_cell() strains = np.linspace(1 - x, 1 + x, N) energies = [] traj = PickleTrajectory(self.get_filename(name, '-fit.traj'), 'w') for s in strains: atoms.set_cell(cell0 * s, scale_atoms=True) energies.append(atoms.get_potential_energy()) traj.write(atoms) traj.close() assert N % 2 == 1 data = {'energy': energies[N // 2], 'strains': strains, 'energies': energies} return data def calculate(self, name, atoms): #???? if self.fit: return self.fit_volume(name, atoms) else: return OptimizeTask.calculate(self, name, atoms) def analyse(self): OptimizeTask.analyse(self) for name, data in self.data.items(): if 'strains' in data: atoms = self.create_system(name) volumes = data['strains']**3 * atoms.get_volume() energies = data['energies'] eos = EquationOfState(volumes, energies) try: v, e, B = eos.fit() except ValueError: self.results[name].extend([None, None]) else: self.results[name][1:] = [energies[2] - e, v, B * 1e24 / units.kJ] else: self.results[name].extend([None, None]) def add_options(self, parser): OptimizeTask.add_options(self, parser) bulk = optparse.OptionGroup(parser, 'Bulk') bulk.add_option('-F', '--fit', metavar='N,x', help='Find optimal volume and bulk modulus ' + 'using N points and variations of the lattice ' + 'constants from -x % to +x %.') bulk.add_option('-x', '--crystal-structure', help='Crystal structure.', choices=['sc', 'fcc', 'bcc', 'diamond', 'hcp', 'rocksalt', 'zincblende']) bulk.add_option('-a', '--lattice-constant', type='float', help='Lattice constant in Angstrom.') bulk.add_option('--c-over-a', type='float', help='c/a ratio.') bulk.add_option('-O', '--orthorhombic', action='store_true', help='Use orthorhombic unit cell.') bulk.add_option('-C', '--cubic', action='store_true', help='Use cubic unit cell.') bulk.add_option('-r', '--repeat', help='Repeat unit cell. Use "-r 2" or "-r 2,3,1".') parser.add_option_group(bulk) def parse(self, opts, args): OptimizeTask.parse(self, opts, args) if opts.fit: points, strain = opts.fit.split(',') self.fit = (int(points), float(strain) * 0.01) self.crystal_structure = opts.crystal_structure self.lattice_constant = opts.lattice_constant self.c_over_a = opts.c_over_a self.orthorhombic = opts.orthorhombic self.cubic = opts.cubic self.repeat = opts.repeat python-ase-3.6.0.2515/ase/tasks/calcfactory.py0000644000175400017540000001253411656523010017745 0ustar askhlaskhlimport optparse from math import sqrt, pi import numpy as np from ase.dft.kpoints import monkhorst_pack def str2dict(s, namespace={}): """Convert comma-separated key=vale string to dictionary. Example: >>> str2dict('a=1.2,b=True,c=abc,d=1,2,3') {'a': 1.2, 'c': 'abc', 'b': True, 'd': (1, 2, 3)} """ dct = {} s = (s + ',').split('=') for i in range(len(s) - 1): key = s[i] m = s[i + 1].rfind(',') value = s[i + 1][:m] try: value = eval(value, namespace) except (NameError, SyntaxError): pass dct[key] = value s[i + 1] = s[i + 1][m + 1:] return dct class CalculatorFactory: def __init__(self, Class, name, label='label', kpts=None, kptdensity=3.0, **kwargs): """Calculator factory object. Used to create calculators with specific parameters.""" self.Class = Class self.name = name self.label = label self.kpts = kpts self.kptdensity = kptdensity self.kwargs = kwargs def calculate_kpts(self, atoms): """Estimate an appropriate number of k-points.""" if self.kpts is not None: # Number of k-points was explicitely set: return self.kpts # Use kptdensity to make a good estimate: recipcell = atoms.get_reciprocal_cell() kpts = [] for i in range(3): if atoms.pbc[i]: k = 2 * pi * sqrt((recipcell[i]**2).sum()) * self.kptdensity kpts.append(max(1, 2 * int(round(k / 2)))) else: kpts.append(1) return kpts def __call__(self, name, atoms): """Create calculator. Put name in the filename of all created files.""" kpts = self.calculate_kpts(atoms) if kpts != 'no k-points': self.kwargs['kpts'] = kpts if self.label is not None: self.kwargs[self.label] = name return self.Class(**self.kwargs) def add_options(self, parser): calc = optparse.OptionGroup(parser, 'Calculator') calc.add_option('-k', '--monkhorst-pack', metavar='K1,K2,K3', help='Monkhorst-Pack sampling of BZ. Example: ' + '"4,4,4": 4x4x4 k-points, "4,4,4g": same set of ' + 'k-points shifted to include the Gamma point.') calc.add_option('--k-point-density', type='float', default=3.0, help='Density of k-points in Angstrom.') calc.add_option('-p', '--parameters', metavar='key=value,...', help='Comma-separated key=value pairs of ' + 'calculator specific parameters.') parser.add_option_group(calc) def parse(self, opts, args): mp = opts.monkhorst_pack if mp is not None: if mp[-1].lower() == 'g': kpts = np.array([int(k) for k in mp[:-1].split(',')]) shift = 0.5 * ((kpts + 1) % 2) / kpts self.kpts = monkhorst_pack(kpts) + shift else: self.kpts = [int(k) for k in mp.split(',')] self.kptdensity = opts.k_point_density if opts.parameters: self.kwargs.update(str2dict(opts.parameters)) # Recognized names of calculators sorted alphabetically: calcnames = ['abinit', 'aims', 'asap', 'castep', 'dftb', 'elk', 'emt', 'exciting', 'fleur', 'gpaw', 'hotbit', 'jacapo', 'lammps', 'lj', 'morse', 'nwchem', 'siesta', 'turbomole', 'vasp'] classnames = {'asap': 'EMT', 'elk': 'ELK', 'emt': 'EMT', 'fleur': 'FLEUR', 'jacapo': 'Jacapo', 'lammps': 'LAMMPS', 'lj': 'LennardJones', 'morse': 'MorsePotential', 'nwchem': 'NWchem', 'vasp': 'Vasp'} def calculator_factory(name, **kwargs): """Create an ASE calculator factory.""" if name == 'asap': from asap3 import EMT return CalculatorFactory(EMT, 'Asap', None, 'no k-points', **kwargs) if name == 'elk': from ase.calculators.elk import ELK return CalculatorFactory(ELK, 'ELK', 'dir', **kwargs) if name == 'fleur': from ase.calculators.fleur import FLEUR return CalculatorFactory(FLEUR, 'FLEUR', 'workdir', **kwargs) if name == 'gpaw': from gpaw.factory import GPAWFactory return GPAWFactory(**kwargs) if name == 'hotbit': from hotbit import Calculator return CalculatorFactory(Calculator, 'Hotbit', 'txt', 'no k-points', **kwargs) if name == 'jacapo': from ase.calculators.jacapo import Jacapo return CalculatorFactory(Jacapo, 'Jacapo', 'nc', **kwargs) if name == 'vasp': from ase.calculators.vasp import Vasp return CalculatorFactory(Vasp, 'Vasp', None, **kwargs) classname = classnames.get(name, name.title()) module = __import__('ase.calculators.' + name, {}, None, [classname]) Class = getattr(module, classname) if name in ['emt', 'lammps', 'lj', 'morse']: kpts = 'no k-points' else: kpts = None if name in ['emt', 'lj', 'morse']: label = None else: label = 'label' return CalculatorFactory(Class, classname, label, kpts, **kwargs) python-ase-3.6.0.2515/ase/tasks/molecule.py0000644000175400017540000002124411720704647017267 0ustar askhlaskhlfrom math import sqrt import optparse import numpy as np from ase.atoms import Atoms, string2symbols from ase.structure import molecule from ase.tasks.task import OptimizeTask from ase.data import covalent_radii, atomic_numbers from ase.data import ground_state_magnetic_moments from ase.utils.eos import EquationOfState from ase.io.trajectory import PickleTrajectory import ase.units as units class MoleculeTask(OptimizeTask): taskname = 'molecule' def __init__(self, vacuum=3.0, cell=None, atomize=False, bond_length=None, fit=None, **kwargs): """Molecule task. This task can calculate bond lengths and vibration frequencies of dimer molecules.""" self.vacuum = vacuum self.unit_cell = cell self.atomize = atomize self.bond_length = bond_length self.fit = fit OptimizeTask.__init__(self, **kwargs) self.summary_header += [('d0', 'Ang'), ('hnu', 'meV'), ('Ea', 'eV'), ('Ea0', 'eV')] def run(self, names1): names = [] atoms = set() for name in names1: if name.lower() == 'g2': from ase.data.g2 import molecule_names names.extend(molecule_names) from ase.data.g2 import atom_names if self.atomize: atoms.update(atom_names) elif name.lower() == 'g2-1': from ase.data.g2_1 import molecule_names names.extend(molecule_names) from ase.data.g2_1 import atom_names if self.atomize: atoms.update(atom_names) else: names.append(name) if self.atomize: atoms.update(self.build_system(name).get_chemical_symbols()) if self.atomize: names.extend(atoms) return OptimizeTask.run(self, names) def build_system(self, name): try: # Known molecule or atom? atoms = molecule(name) if len(atoms) == 2 and self.bond_length is not None: atoms.set_distance(0, 1, self.bond_length) except NotImplementedError: symbols = string2symbols(name) if len(symbols) == 1: magmom = ground_state_magnetic_moments[atomic_numbers[symbols[0]]] atoms = Atoms(name, magmoms=[magmom]) elif len(symbols) == 2: # Dimer if self.bond_length is None: b = (covalent_radii[atomic_numbers[symbols[0]]] + covalent_radii[atomic_numbers[symbols[1]]]) else: b = self.bond_length atoms = Atoms(name, positions=[(0, 0, 0), (b, 0, 0)]) else: raise ValueError('Unknown molecule: ' + name) if self.unit_cell is None: atoms.center(vacuum=self.vacuum) else: atoms.cell = self.unit_cell atoms.center() return atoms def fit_bond_length(self, name, atoms): N, x = self.fit assert N % 2 == 1 d0 = atoms.get_distance(0, 1) distances = np.linspace(d0 * (1 - x), d0 * (1 + x), N) energies = [] traj = PickleTrajectory(self.get_filename(name, '-fit.traj'), 'w') for d in distances: atoms.set_distance(0, 1, d) energies.append(atoms.get_potential_energy()) self.check_occupation_numbers(atoms) traj.write(atoms) traj.close() data = {'energy': energies[N // 2], 'distances': distances, 'energies': energies} return data def calculate(self, name, atoms): if self.fit and len(atoms) == 2: return self.fit_bond_length(name, atoms) else: data = OptimizeTask.calculate(self, name, atoms) self.check_occupation_numbers(atoms) return data def analyse(self): OptimizeTask.analyse(self) for name, data in self.data.items(): if 'distances' in data: distances = data['distances'] energies = data['energies'] fit0 = np.poly1d(np.polyfit(1 / distances, energies, 3)) fit1 = np.polyder(fit0, 1) fit2 = np.polyder(fit1, 1) dmin = None for t in np.roots(fit1): if t > 0 and fit2(t) > 0: dmin = 1 / t break if dmin is None: raise ValueError('No minimum!') if abs(dmin) < min(distances) or abs(dmin) > max(distances): raise ValueError('Fit outside of range! ' + \ str(abs(dmin)) + ' not in ' + \ str(distances)) emin = fit0(t) k = fit2(t) * t**4 m1, m2 = self.create_system(name).get_masses() m = m1 * m2 / (m1 + m2) hnu = units._hbar * 1e10 * sqrt(k / units._e / units._amu / m) data['minimum energy'] = emin self.results[name][1:] = [energies[2] - emin, dmin, 1000 * hnu] else: self.results[name].extend([None, None]) for name, data in self.data.items(): atoms = self.create_system(name) if len(atoms) == 1: self.results[name].extend([None, None]) continue eatoms = 0.0 for symbol in atoms.get_chemical_symbols(): if symbol in self.data and symbol != name: eatoms += self.data[symbol]['energy'] else: eatoms = None break ea = None ea0 = None if eatoms is not None: ea = eatoms - data['energy'] if 'minimum energy' in data: ea0 = eatoms - data['minimum energy'] self.results[name].extend([ea, ea0]) def add_options(self, parser): OptimizeTask.add_options(self, parser) mol = optparse.OptionGroup(parser, 'Molecule') mol.add_option('-v', '--vacuum', type='float', default=3.0, help='Amount of vacuum to add around isolated systems ' '(in Angstrom).') mol.add_option('--unit-cell', help='Unit cell. Examples: "10.0" or "9,10,11" ' + '(in Angstrom).') mol.add_option('--bond-length', type='float', help='Bond length of dimer in Angstrom.') mol.add_option('-F', '--fit', metavar='N,x', help='Find optimal bondlength and vibration ' + 'frequency using N points and displacements from ' + '-x % to +x %.') mol.add_option('--atomize', action='store_true', help='Calculate Atomization energies.') parser.add_option_group(mol) def parse(self, opts, args): OptimizeTask.parse(self, opts, args) self.vacuum = opts.vacuum self.bond_length = opts.bond_length self.atomize = opts.atomize if opts.fit: points, strain = opts.fit.split(',') self.fit = (int(points), float(strain) * 0.01) if opts.unit_cell: if ',' in opts.unit_cell: self.unit_cell = [float(x) for x in opts.unit_cell.split(',')] else: self.unit_cell = [float(opts.unit_cell)] * 3 def check_occupation_numbers(self, config): """Check that occupation numbers are integers and sum to desired magnetic moment. """ if config.pbc.any(): return calc = config.get_calculator() try: mref = abs(config.get_initial_magnetic_moments().sum()) nspins = calc.get_number_of_spins() mcalc = 0.0 for s in range(nspins): f = calc.get_occupation_numbers(spin=s) if abs((f.round() - f).sum()) > 0.0001: raise RuntimeError('Fractional occupation numbers?! ' + \ str(f) + ' for spin ' + str(s)) mcalc += abs(f).sum() * (-1)**s mcalc = abs(mcalc) if mref > 0.0: if abs(mcalc - mref) > 0.0001: raise RuntimeError('Incorrect magnetic moment?! ' + \ str(mcalc) + ' vs ' + str(mref)) except AttributeError: pass python-ase-3.6.0.2515/ase/tasks/main.py0000644000175400017540000000542311647743006016407 0ustar askhlaskhlimport os import sys import tempfile import textwrap import traceback from ase.tasks.task import Task from ase.tasks.bulk import BulkTask from ase.tasks.molecule import MoleculeTask from ase.tasks.calcfactory import calcnames usage = """\ Usage: ase [calculator] [task] [options] system(s) %s task: 'molecule', 'bulk' or the name of Python script that instantiates a Task object. Default value is 'molecule'. systems: chemical formulas or filenames of files containing the atomic structure. Try "ase molecule --help" or "ase bulk --help". """ def run(args=sys.argv[1:], calcname='emt'): if isinstance(args, str): args = args.split(' ') argsoriginal = args[:] if len(args) > 0 and args[0] in calcnames: calcname = args.pop(0) taskname = 'molecule' if (len(args) > 0 and (args[0] in ['molecule', 'bulk'] or args[0].endswith('.py'))): taskname = args.pop(0) if len(args) == 0: sys.stderr.write( usage % textwrap.fill(', '.join(calcnames[:-1]) + ' or ' + calcnames[-1] + '. Default value is emt.', initial_indent='calculator: ', subsequent_indent=' ' * 12)) return if taskname.endswith('.py'): locals = {} execfile(taskname, locals, locals) tasks = [task for task in locals.values() if isinstance(task, Task)] assert len(tasks) == 1 task = tasks[0] elif taskname == 'bulk': task = BulkTask() else: task = MoleculeTask() task.set_calculator_factory(calcname) args = task.parse_args(args) if task.interactive_python_session: if '-i' in argsoriginal: argsoriginal.remove('-i') if '--interactive-python-session' in argsoriginal: argsoriginal.remove('--interactive-python-session') file = tempfile.NamedTemporaryFile() file.write('import os\n') file.write('if "PYTHONSTARTUP" in os.environ:\n') file.write(' execfile(os.environ["PYTHONSTARTUP"])\n') file.write('from ase.tasks.main import run\n') file.write('atoms, task = run(%r, %r)\n' % (argsoriginal, calcname)) file.flush() os.system('python -i %s' % file.name) return atoms = task.run(args) return atoms, task def main(): try: run() except (KeyboardInterrupt, SystemExit): raise except Exception: traceback.print_exc() sys.stderr.write(""" An exception occurred! Please report the issue to ase-developer@listserv.fysik.dtu.dk - thanks! Please also report this if it was a user error, so that a better error message can be provided next time.""") raise python-ase-3.6.0.2515/ase/tasks/io.py0000644000175400017540000000257311647035022016065 0ustar askhlaskhlimport numpy as np from ase.parallel import world try: import json except ImportError: json = None if json is None: def dumps(obj): if isinstance(obj, str): return '"' + obj + '"' if isinstance(obj, (int, float)): return repr(obj) if isinstance(obj, dict): return '{' + ','.join(dumps(key) + ':' + dumps(value) for key, value in obj.items()) + '}' return '[' + ','.join(dumps(value) for value in obj) + ']' loads = eval else: class NDArrayEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, np.ndarray): return obj.tolist() return json.JSONEncoder.default(self, obj) dumps = NDArrayEncoder().encode loads = json.loads def numpyfy(obj): if isinstance(obj, dict): return dict((key, numpyfy(value)) for key, value in obj.items()) if isinstance(obj, list): try: obj = np.array(obj) except ValueError: obj = [numpyfy(value) for value in obj] return obj def write_json(name, atoms, results): if world.rank == 0: fd = open(name + '.json', 'w') fd.write(dumps(results)) fd.close() def read_json(name): fd = open(name + '.json', 'r') results = loads(fd.read()) fd.close() return numpyfy(results) python-ase-3.6.0.2515/ase/quaternions.py0000644000175400017540000000746611672655157016726 0ustar askhlaskhlimport numpy as np from ase.atoms import Atoms class Quaternions(Atoms): def __init__(self, *args, **kwargs): quaternions = None if 'quaternions' in kwargs: quaternions = np.array(kwargs['quaternions']) del kwargs['quaternions'] Atoms.__init__(self, *args, **kwargs) if quaternions is not None: self.set_array('quaternions', quaternions, shape=(4,)) # set default shapes self.set_shapes(np.array([[5, 3, 1]] * len(self))) def set_shapes(self, shapes): self.set_array('shapes', shapes, shape=(3,)) def set_quaternions (self, quaternions): self.set_array('quaternions', quaternions, quaternion=(4,)) def get_shapes(self): return self.get_array('shapes') def get_quaternions(self): return self.get_array('quaternions') class Quaternion: def __init__(self, qin=[1, 0, 0, 0]): assert(len(qin) == 4) self.q = np.array(qin) def __str__(self): return self.q.__str__() def __mult__(self, other): sw, sx, sy, sz = self.q[0], self.q[1], self.q[2], self.q[3] ow, ox, oy, oz = other.q[0], other.q[1], other.q[2], other.q[3] return Quaternion([sw*ow - sx*ox - sy*oy - sz*oz, sw*ox + sx*ow + sy*oz - sz*oy, sw*oy + sy*ow + sz*ox - sx*oz, sw*oz + sz*ow + sx*oy - sy*ox]) def conjugate(self): return Quaternion(-self.q * np.array([-1., 1., 1., 1.])) def rotate(self, vector): """Apply the rotation matrix to a vector.""" qw, qx, qy, qz = self.q[0], self.q[1], self.q[2], self.q[3] x, y, z = vector[0], vector[1], vector[2] ww = qw * qw xx = qx * qx yy = qy * qy zz = qz * qz wx = qw * qx wy = qw * qy wz = qw * qz xy = qx * qy xz = qx * qz yz = qy * qz return np.array([ (ww + xx - yy - zz) * x + 2 * ((xy - wz) * y + (xz + wy) * z), (ww - xx + yy - zz) * y + 2 * ((xy + wz) * x + (yz - wx) * z), (ww - xx - yy + zz) * z + 2 * ((xz - wy) * x + (yz + wx) * y) ]) def rotation_matrix(self): qw, qx, qy, qz = self.q[0], self.q[1], self.q[2], self.q[3] ww = qw * qw xx = qx * qx yy = qy * qy zz = qz * qz wx = qw * qx wy = qw * qy wz = qw * qz xy = qx * qy xz = qx * qz yz = qy * qz return np.array([[ww + xx - yy - zz , 2 * (xy + wz), 2 * (xz - wy)], [2*(xy - wz), ww - xx + yy - zz, 2*(yz + wx)], [2*(xz + wy), 2*(yz - wx), ww - xx - yy + zz] ]) def rotate_byq(self, q, vector): """Apply the rotation matrix to a vector.""" qw, qx, qy, qz = q[0], q[1], q[2], q[3] x, y, z = vector[0], vector[1], vector[2] ww = qw * qw xx = qx * qx yy = qy * qy zz = qz * qz wx = qw * qx wy = qw * qy wz = qw * qz xy = qx * qy xz = qx * qz yz = qy * qz return np.array([ (ww + xx - yy - zz) * x + 2 * ((xy - wz) * y + (xz + wy) * z), (ww - xx + yy - zz) * y + 2 * ((xy + wz) * x + (yz - wx) * z), (ww - xx - yy + zz) * z + 2 * ((xz - wy) * x + (yz + wx) * y) ]) def from_matrix(self, matrix): """Build quaternion from rotation matrix.""" m = np.array(matrix) assert m.shape == (3, 3) qw = np.sqrt(1 + m[0, 0] + m[1, 1] + m[2, 2]) / 2. qx = (m[2, 1] - m[1, 2]) / (4 * qw) qy = (m[0, 2] - m[2, 0]) / (4 *qw) qz = (m[1, 0] - m[0, 1]) / (4 *qw) self.q = np.array([qw, qx, qy, qz]) return self python-ase-3.6.0.2515/ase/gui/0000755000175400017540000000000011757245036014546 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/gui/status.py0000644000175400017540000000675511711330540016441 0ustar askhlaskhl# -*- coding: utf-8 -*- from math import sqrt, pi, acos import gtk import numpy as np from ase.data import chemical_symbols as symbols from ase.data import atomic_names as names from ase.gui.widgets import pack from gettext import gettext as _ def formula(Z): hist = {} for z in Z: if z in hist: hist[z] += 1 else: hist[z] = 1 text = '' Z = hist.keys() Z.sort() for z in Z: text += symbols[z] n = hist[z] if n > 1: text += '%d' % n return text class Status: def __init__(self, vbox): self.eventbox = gtk.EventBox() self.label = gtk.Label() self.eventbox.add(self.label) self.label.show() if gtk.pygtk_version < (2, 12): self.set_tip(self.eventbox, _('Tip for status box ...')) else: self.eventbox.set_tooltip_text(_('Tip for status box ...')) pack(vbox, self.eventbox) self.ordered_indices = [] def status(self): # use where here: XXX indices = np.arange(self.images.natoms)[self.images.selected] ordered_indices = self.images.selected_ordered n = len(indices) self.nselected = n if n == 0: self.label.set_text('') return Z = self.images.Z[indices] R = self.R[indices] if n == 1: tag = self.images.T[self.frame,indices][0] mom = self.images.M[self.frame][indices] text = (u' #%d %s (%s): %.3f Ã…, %.3f Ã…, %.3f Ã… ' % ((indices[0], names[Z[0]], symbols[Z[0]]) + tuple(R[0]))) # TRANSLATORS: mom refers to magnetic moment text += _(' tag=%(tag)s mom=%(mom)1.2f') % dict(tag=tag, mom=mom) elif n == 2: D = R[0] - R[1] d = sqrt(np.dot(D, D)) text = u' %s-%s: %.3f Ã…' % (symbols[Z[0]], symbols[Z[1]], d) elif n == 3: d = [] for c in range(3): D = R[c] - R[(c + 1) % 3] d.append(np.dot(D, D)) a = [] for c in range(3): t1 = 0.5 * (d[c] + d[(c + 1) % 3] - d[(c + 2) % 3]) t2 = sqrt(d[c] * d[(c + 1) % 3]) try: t3 = acos(t1 / t2) except ValueError: if t1 > 0: t3 = 0 else: t3 = pi a.append(t3 * 180 / pi) text = (u' %s-%s-%s: %.1f°, %.1f°, %.1f°' % tuple([symbols[z] for z in Z] + a)) elif len(ordered_indices) == 4: R = self.R[ordered_indices] Z = self.images.Z[ordered_indices] a = R[1]-R[0] b = R[2]-R[1] c = R[3]-R[2] bxa = np.cross(b,a) bxa /= np.sqrt(np.vdot(bxa,bxa)) cxb = np.cross(c,b) cxb /= np.sqrt(np.vdot(cxb,cxb)) angle = np.vdot(bxa,cxb) if angle < -1: angle = -1 if angle > 1: angle = 1 angle = np.arccos(angle) if (np.vdot(bxa,c)) > 0: angle = 2*np.pi-angle angle = angle*180.0/np.pi text = (u'%s %s->%s->%s->%s: %.1f°' % tuple([_('dihedral')] + [symbols[z] for z in Z]+[angle])) else: text = ' ' + formula(Z) self.label.set_markup(text) if __name__ == '__main__': import os os.system('python gui.py') python-ase-3.6.0.2515/ase/gui/simulation.py0000644000175400017540000001267211706276516017315 0ustar askhlaskhl"Base class for simulation windows" import gtk from gettext import gettext as _ from ase.gui.widgets import oops, pack, help from ase import Atoms from ase.constraints import FixAtoms class Simulation(gtk.Window): def __init__(self, gui): gtk.Window.__init__(self) self.gui = gui def packtext(self, vbox, text, label=None): "Pack an text frame into the window." pack(vbox, gtk.Label("")) txtframe = gtk.Frame(label) txtlbl = gtk.Label(text) txtframe.add(txtlbl) txtlbl.show() pack(vbox, txtframe) pack(vbox, gtk.Label("")) def packimageselection(self, outerbox, txt1=_(" (rerun simulation)"), txt2=_(" (continue simulation)")): "Make the frame for selecting starting config if more than one." self.startframe = gtk.Frame(_("Select starting configuration:")) pack(outerbox, [self.startframe]) vbox = gtk.VBox() self.startframe.add(vbox) vbox.show() self.numconfig_format = _("There are currently %i " "configurations loaded.") self.numconfig_label = gtk.Label("") pack(vbox, [self.numconfig_label]) lbl = gtk.Label(_("Choose which one to use as the " "initial configuration")) pack(vbox, [lbl]) self.start_radio_first = gtk.RadioButton( None, _("The first configuration %s.") % txt1) pack(vbox, [self.start_radio_first]) self.start_radio_nth = gtk.RadioButton(self.start_radio_first, _("Configuration number ")) self.start_nth_adj = gtk.Adjustment(0, 0, 1, 1) self.start_nth_spin = gtk.SpinButton(self.start_nth_adj, 0, 0) self.start_nth_spin.set_sensitive(False) pack(vbox, [self.start_radio_nth, self.start_nth_spin]) self.start_radio_last = gtk.RadioButton(self.start_radio_first, _("The last configuration %s.") % txt2) self.start_radio_last.set_active(True) pack(vbox, self.start_radio_last) self.start_radio_nth.connect("toggled", self.start_radio_nth_toggled) self.setupimageselection() def start_radio_nth_toggled(self, widget): self.start_nth_spin.set_sensitive(self.start_radio_nth.get_active()) def setupimageselection(self): "Decide if the start image selection frame should be shown." n = self.gui.images.nimages if n <= 1: self.startframe.hide() else: self.startframe.show() if self.start_nth_adj.value >= n: self.start_nth_adj.value = n-1 self.start_nth_adj.upper = n-1 self.numconfig_label.set_text(self.numconfig_format % (n,)) def getimagenumber(self): "Get the image number selected in the start image frame." nmax = self.gui.images.nimages if nmax <= 1: return 0 elif self.start_radio_first.get_active(): return 0 elif self.start_radio_nth.get_active(): return self.start_nth_adj.value else: assert self.start_radio_last.get_active() return nmax-1 def makebutbox(self, vbox, helptext=None): self.buttons = gtk.HButtonBox() runbut = gtk.Button(_("Run")) runbut.connect('clicked', self.run) closebut = gtk.Button(stock=gtk.STOCK_CLOSE) closebut.connect('clicked', lambda x: self.destroy()) for w in (runbut, closebut): self.buttons.pack_start(w, 0, 0) w.show() if helptext: helpbut = [help(helptext)] else: helpbut = [] pack(vbox, helpbut + [self.buttons], end=True, bottom=True) def setup_atoms(self): self.atoms = self.get_atoms() if self.atoms is None: return False try: self.calculator = self.gui.simulation['calc'] except KeyError: oops(_("No calculator: Use Calculate/Set Calculator on the menu.")) return False self.atoms.set_calculator(self.calculator()) return True def get_atoms(self): "Make an atoms object from the active image" images = self.gui.images if images.natoms < 1: oops(_("No atoms present")) return None n = self.getimagenumber() natoms = len(images.P[n]) / images.repeat.prod() constraint = None if not images.dynamic.all(): constraint = FixAtoms(mask=1-images.dynamic) return Atoms(positions=images.P[n,:natoms], symbols=images.Z[:natoms], cell=images.A[n], magmoms=images.M[n,:natoms], tags=images.T[n,:natoms], pbc=images.pbc, constraint=constraint) def begin(self, **kwargs): if self.gui.simulation.has_key('progress'): self.gui.simulation['progress'].begin(**kwargs) def end(self): if self.gui.simulation.has_key('progress'): self.gui.simulation['progress'].end() def prepare_store_atoms(self): "Informs the gui that the next configuration should be the first." self.gui.prepare_new_atoms() self.count_steps = 0 def store_atoms(self): "Observes the minimization and stores the atoms in the gui." self.gui.append_atoms(self.atoms) self.count_steps += 1 python-ase-3.6.0.2515/ase/gui/colors.py0000644000175400017540000006101211715550644016417 0ustar askhlaskhl# encoding: utf-8 """colors.py - select how to color the atoms in the GUI.""" import gtk from gettext import gettext as _ from ase.gui.widgets import pack, cancel_apply_ok, oops, help import ase from ase.data.colors import jmol_colors import numpy as np import colorsys named_colors = ('Green', 'Yellow', 'Blue', 'Red', 'Orange', 'Cyan', 'Magenta', 'Black', 'White', 'Grey', 'Violet', 'Brown', 'Navy') class ColorWindow(gtk.Window): "A window for selecting how to color the atoms." def __init__(self, gui): gtk.Window.__init__(self) self.gui = gui self.colormode = gui.colormode self.actual_colordata = None self.set_title(_("Colors")) vbox = gtk.VBox() self.add(vbox) vbox.show() # The main layout consists of two columns, the leftmost split in an upper and lower part. self.maintable = gtk.Table(2,2) pack(vbox, self.maintable) self.methodbox = gtk.VBox() self.methodbox.show() self.maintable.attach(self.methodbox, 0, 1, 0, 1) self.scalebox = gtk.VBox() self.scalebox.show() self.maintable.attach(self.scalebox, 0, 1, 1, 2) self.colorbox = gtk.Frame() self.colorbox.show() self.maintable.attach(self.colorbox, 1, 2, 0, 2, gtk.EXPAND) # Upper left: Choose how the atoms are colored. lbl = gtk.Label(_("Choose how the atoms are colored:")) pack(self.methodbox, [lbl]) self.radio_jmol = gtk.RadioButton(None, _('By atomic number, default "jmol" colors')) self.radio_atno = gtk.RadioButton(self.radio_jmol, _('By atomic number, user specified')) self.radio_tag = gtk.RadioButton(self.radio_jmol, _('By tag')) self.radio_force = gtk.RadioButton(self.radio_jmol, _('By force')) self.radio_velocity = gtk.RadioButton(self.radio_jmol, _('By velocity')) self.radio_manual = gtk.RadioButton(self.radio_jmol, _('Manually specified')) self.radio_same = gtk.RadioButton(self.radio_jmol, _('All the same color')) self.force_box = gtk.VBox() self.velocity_box = gtk.VBox() for widget in (self.radio_jmol, self.radio_atno, self.radio_tag, self.radio_force, self.force_box, self.radio_velocity, self.velocity_box, self.radio_manual, self.radio_same): pack(self.methodbox, [widget]) if isinstance(widget, gtk.RadioButton): widget.connect('toggled', self.method_radio_changed) # Now fill in the box for additional information in case the force is used. self.force_label = gtk.Label(_("This should not be displayed!")) pack(self.force_box, [self.force_label]) self.force_min = gtk.Adjustment(0.0, 0.0, 100.0, 0.05) self.force_max = gtk.Adjustment(0.0, 0.0, 100.0, 0.05) self.force_steps = gtk.Adjustment(10, 2, 500, 1) force_apply = gtk.Button(_('Update')) force_apply.connect('clicked', self.set_force_colors) pack(self.force_box, [gtk.Label(_('Min: ')), gtk.SpinButton(self.force_min, 10.0, 2), gtk.Label(_(' Max: ')), gtk.SpinButton(self.force_max, 10.0, 2), gtk.Label(_(' Steps: ')), gtk.SpinButton(self.force_steps, 1, 0), gtk.Label(' '), force_apply]) self.force_box.hide() # Now fill in the box for additional information in case the velocity is used. self.velocity_label = gtk.Label("This should not be displayed!") pack(self.velocity_box, [self.velocity_label]) self.velocity_min = gtk.Adjustment(0.0, 0.0, 10.0, 0.005) self.velocity_max = gtk.Adjustment(0.0, 0.0, 10.0, 0.005) self.velocity_steps = gtk.Adjustment(10, 2, 500, 1) velocity_apply = gtk.Button(_('Update')) velocity_apply.connect('clicked', self.set_velocity_colors) pack(self.velocity_box, [gtk.Label(_('Min: ')), gtk.SpinButton(self.velocity_min, 10.0, 3), gtk.Label(_(' Max: ')), gtk.SpinButton(self.velocity_max, 10.0, 3), gtk.Label(_(' Steps: ')), gtk.SpinButton(self.velocity_steps, 1, 0), gtk.Label(' '), velocity_apply]) self.velocity_box.hide() # Lower left: Create a color scale pack(self.scalebox, gtk.Label("")) lbl = gtk.Label(_('Create a color scale:')) pack(self.scalebox, [lbl]) color_scales = ( _('Black - white'), _('Black - red - yellow - white'), _('Black - green - white'), _('Black - blue - cyan'), _('Hue'), _('Named colors') ) self.scaletype_created = None self.scaletype = gtk.combo_box_new_text() for s in color_scales: self.scaletype.append_text(s) self.createscale = gtk.Button(_("Create")) pack(self.scalebox, [self.scaletype, self.createscale]) self.createscale.connect('clicked', self.create_color_scale) # The actually colors are specified in a box possibly with scrollbars self.colorwin = gtk.ScrolledWindow() self.colorwin.set_policy(gtk.POLICY_NEVER, gtk.POLICY_AUTOMATIC) self.colorwin.show() self.colorbox.add(self.colorwin) self.colorwin.add_with_viewport(gtk.VBox()) # Dummy contents buts = cancel_apply_ok(cancel=lambda widget: self.destroy(), apply=self.apply, ok=self.ok) pack(vbox, [buts], end=True, bottom=True) # Make the initial setup of the colors self.color_errors = {} self.init_colors_from_gui() self.show() gui.register_vulnerable(self) def notify_atoms_changed(self): "Called by gui object when the atoms have changed." self.destroy() def init_colors_from_gui(self): cm = self.gui.colormode # Disallow methods if corresponding data is not available if not self.gui.images.T.any(): self.radio_tag.set_sensitive(False) if self.radio_tag.get_active() or cm == 'tag': self.radio_jmol.set_active(True) return else: self.radio_tag.set_sensitive(True) if np.isnan(self.gui.images.F).any() or not self.gui.images.F.any(): self.radio_force.set_sensitive(False) if self.radio_force.get_active() or cm == 'force': self.radio_jmol.set_active(True) return else: self.radio_force.set_sensitive(True) if np.isnan(self.gui.images.V).any() or not self.gui.images.V.any(): self.radio_velocity.set_sensitive(False) if self.radio_velocity.get_active() or cm == 'velocity': self.radio_jmol.set_active(True) return else: self.radio_velocity.set_sensitive(True) self.radio_manual.set_sensitive(self.gui.images.natoms <= 1000) # Now check what the current color mode is if cm == 'jmol': self.radio_jmol.set_active(True) self.set_jmol_colors() elif cm == 'Z': self.radio_atno.set_active(True) elif cm == 'tag': self.radio_tag.set_active(True) elif cm == 'force': self.radio_force.set_active(True) elif cm == 'velocity': self.radio_velocity.set_active(True) elif cm == 'manual': self.radio_manual.set_active(True) elif cm == 'same': self.radio_same.set_active(True) def method_radio_changed(self, widget=None): "Called when a radio button is changed." self.scaletype_created = None self.scaletype.set_active(-1) if not widget.get_active(): # Ignore most events when a button is turned off. if widget is self.radio_force: self.force_box.hide() if widget is self.radio_velocity: self.velocity_box.hide() return if widget is self.radio_jmol: self.set_jmol_colors() elif widget is self.radio_atno: self.set_atno_colors() elif widget is self.radio_tag: self.set_tag_colors() elif widget is self.radio_force: self.show_force_stuff() self.set_force_colors() elif widget is self.radio_velocity: self.show_velocity_stuff() self.set_velocity_colors() elif widget is self.radio_manual: self.set_manual_colors() elif widget is self.radio_same: self.set_same_color() else: raise RuntimeError('Unknown widget in method_radio_changed') def make_jmol_colors(self): "Set the colors to the default jmol colors" self.colordata_z = [] hasfound = {} for z in self.gui.images.Z: if z not in hasfound: hasfound[z] = True self.colordata_z.append([z, jmol_colors[z]]) def set_jmol_colors(self): "We use the immutable jmol colors." self.make_jmol_colors() self.set_atno_colors() for entry in self.color_entries: entry.set_sensitive(False) self.colormode = 'jmol' def set_atno_colors(self): "We use user-specified per-element colors." if not hasattr(self, 'colordata_z'): # No initial colors. Use jmol colors self.make_jmol_colors() self.actual_colordata = self.colordata_z self.color_labels = ["%i (%s):" % (z, ase.data.chemical_symbols[z]) for z, col in self.colordata_z] self.make_colorwin() self.colormode = "atno" def set_tag_colors(self): "We use per-tag colors." # Find which tags are in use tags = self.gui.images.T existingtags = [] for t in range(tags.min(), tags.max()+1): if t in tags: existingtags.append(t) if not hasattr(self, 'colordata_tags') or len(self.colordata_tags) != len(existingtags): colors = self.get_named_colors(len(existingtags)) self.colordata_tags = [[x, y] for x, y in zip(existingtags, colors)] self.actual_colordata = self.colordata_tags self.color_labels = [str(x)+':' for x, y in self.colordata_tags] self.make_colorwin() self.colormode = 'tags' def set_same_color(self): "All atoms have the same color" if not hasattr(self, 'colordata_same'): try: self.colordata_same = self.actual_colordata[0:1] except AttributeError: self.colordata_same = self.get_named_colors(1) self.actual_colordata = self.colordata_same self.actual_colordata[0][0] = 0 self.color_labels = ['all:'] self.make_colorwin() self.colormode = 'same' def set_force_colors(self, *args): "Use the forces as basis for the colors." borders = np.linspace(self.force_min.value, self.force_max.value, self.force_steps.value, endpoint=False) if self.scaletype_created is None: colors = self.new_color_scale([[0, [1,1,1]], [1, [0,0,1]]], len(borders)) elif (not hasattr(self, 'colordata_force') or len(self.colordata_force) != len(borders)): colors = self.get_color_scale(len(borders), self.scaletype_created) else: colors = [y for x, y in self.colordata_force] self.colordata_force = [[x, y] for x, y in zip(borders, colors)] self.actual_colordata = self.colordata_force self.color_labels = ["%.2f:" % x for x, y in self.colordata_force] self.make_colorwin() self.colormode = 'force' fmin = self.force_min.value fmax = self.force_max.value factor = self.force_steps.value / (fmax -fmin) self.colormode_force_data = (fmin, factor) def set_velocity_colors(self, *args): "Use the velocities as basis for the colors." borders = np.linspace(self.velocity_min.value, self.velocity_max.value, self.velocity_steps.value, endpoint=False) if self.scaletype_created is None: colors = self.new_color_scale([[0, [1,1,1]], [1, [1,0,0]]], len(borders)) elif (not hasattr(self, 'colordata_velocity') or len(self.colordata_velocity) != len(borders)): colors = self.get_color_scale(len(borders), self.scaletype_created) else: colors = [y for x, y in self.colordata_velocity] self.colordata_velocity = [[x, y] for x, y in zip(borders, colors)] self.actual_colordata = self.colordata_velocity self.color_labels = ["%.2f:" % x for x, y in self.colordata_velocity] self.make_colorwin() self.colormode = 'velocity' vmin = self.velocity_min.value vmax = self.velocity_max.value factor = self.velocity_steps.value / (vmax -vmin) self.colormode_velocity_data = (vmin, factor) def set_manual_colors(self): "Set colors of all atoms from the last selection." # We cannot directly make np.arrays of the colors, as they may # be sequences of the same length, causing creation of a 2D # array of characters/numbers instead of a 1D array of # objects. colors = np.array([None] * self.gui.images.natoms) if self.colormode in ['atno', 'jmol', 'tags']: maxval = max([x for x, y in self.actual_colordata]) oldcolors = np.array([None] * (maxval+1)) for x, y in self.actual_colordata: oldcolors[x] = y if self.colormode == 'tags': colors[:] = oldcolors[self.gui.images.T[self.gui.frame]] else: colors[:] = oldcolors[self.gui.images.Z] elif self.colormode == 'force': oldcolors = np.array([None] * len(self.actual_colordata)) oldcolors[:] = [y for x, y in self.actual_colordata] F = self.gui.images.F[self.gui.frame] F = np.sqrt((F * F).sum(axis=-1)) nF = (F - self.colormode_force_data[0]) * self.colormode_force_data[1] nF = np.clip(nF.astype(int), 0, len(oldcolors)-1) colors[:] = oldcolors[nF] elif self.colormode == 'velocity': oldcolors = np.array([None] * len(self.actual_colordata)) oldcolors[:] = [y for x, y in self.actual_colordata] V = self.gui.images.V[self.gui.frame] V = np.sqrt((V * V).sum(axis=-1)) nV = (V - self.colormode_velocity_data[0]) * self.colormode_velocity_data[1] nV = np.clip(nV.astype(int), 0, len(oldcolors)-1) colors[:] = oldcolors[nV] elif self.colormode == 'same': oldcolor = self.actual_colordata[0][1] if len(colors) == len(oldcolor): # Direct assignment would be e.g. one letter per atom. :-( colors[:] = [oldcolor] * len(colors) else: colors[:] = oldcolor elif self.colormode == 'manual': if self.actual_colordata is None: # import colors from gui, if they don't exist already colors = [y for x,y in self.gui.colordata] self.color_labels = ["%d:" % i for i in range(len(colors))] self.actual_colordata = [[i, x] for i, x in enumerate(colors)] self.make_colorwin() self.colormode = 'manual' def show_force_stuff(self): "Show and update widgets needed for selecting the force scale." self.force_box.show() F = np.sqrt(((self.gui.images.F*self.gui.images.dynamic[:,np.newaxis])**2).sum(axis=-1)) fmax = F.max() nimages = self.gui.images.nimages assert len(F) == nimages if nimages > 1: fmax_frame = self.gui.images.F[self.gui.frame].max() txt = _("Max force: %.2f (this frame), %.2f (all frames)") % (fmax_frame, fmax) else: txt = _("Max force: %.2f.") % (fmax,) self.force_label.set_text(txt) if self.force_max.value == 0.0: self.force_max.value = fmax def show_velocity_stuff(self): "Show and update widgets needed for selecting the velocity scale." self.velocity_box.show() V = np.sqrt((self.gui.images.V * self.gui.images.V).sum(axis=-1)) vmax = V.max() nimages = self.gui.images.nimages assert len(V) == nimages if nimages > 1: vmax_frame = self.gui.images.V[self.gui.frame].max() txt = _("Max velocity: %.2f (this frame), %.2f (all frames)") % (vmax_frame, vmax) else: txt = _("Max velocity: %.2f.") % (vmax,) self.velocity_label.set_text(txt) if self.velocity_max.value == 0.0: self.velocity_max.value = vmax def make_colorwin(self): """Make the list of editable color entries. Uses self.actual_colordata and self.color_labels. Produces self.color_entries. """ assert len(self.actual_colordata) == len(self.color_labels) self.color_entries = [] old = self.colorwin.get_child() self.colorwin.remove(old) del old table = gtk.Table(len(self.actual_colordata)+1, 4) self.colorwin.add_with_viewport(table) table.show() self.color_display = [] for i in range(len(self.actual_colordata)): lbl = gtk.Label(self.color_labels[i]) entry = gtk.Entry(max=20) val = self.actual_colordata[i][1] error = False if not isinstance(val, str): assert len(val) == 3 intval = tuple(np.round(65535*np.array(val)).astype(int)) val = "%.3f, %.3f, %.3f" % tuple(val) clr = gtk.gdk.Color(*intval) else: try: clr = gtk.gdk.color_parse(val) except ValueError: error = True entry.set_text(val) blob = gtk.EventBox() space = gtk.Label space = gtk.Label(" ") space.show() blob.add(space) if error: space.set_text(_("ERROR")) else: blob.modify_bg(gtk.STATE_NORMAL, clr) table.attach(lbl, 0, 1, i, i+1, yoptions=0) table.attach(entry, 1, 2, i, i+1, yoptions=0) table.attach(blob, 2, 3, i, i+1, yoptions=0) lbl.show() entry.show() blob.show() entry.connect('activate', self.entry_changed, i) self.color_display.append(blob) self.color_entries.append(entry) def entry_changed(self, widget, index): """The user has changed a color.""" txt = widget.get_text() txtfields = txt.split(',') if len(txtfields) == 3: self.actual_colordata[index][1] = [float(x) for x in txtfields] val = tuple([int(65535*float(x)) for x in txtfields]) clr = gtk.gdk.Color(*val) else: self.actual_colordata[index][1] = txt try: clr = gtk.gdk.color_parse(txt) except ValueError: # Cannot parse the color displ = self.color_display[index] displ.modify_bg(gtk.STATE_NORMAL, gtk.gdk.color_parse('white')) displ.get_child().set_text(_("ERR")) self.color_errors[index] = (self.color_labels[index], txt) return self.color_display[index].get_child().set_text(" ") # Clear error message self.color_errors.pop(index, None) self.color_display[index].modify_bg(gtk.STATE_NORMAL, clr) def create_color_scale(self, *args): if self.radio_jmol.get_active(): self.radio_atno.set_active(1) n = len(self.color_entries) s = self.scaletype.get_active() scale = self.get_color_scale(n, s) self.scaletype_created = s for i in range(n): if isinstance(scale[i], str): self.color_entries[i].set_text(scale[i]) else: s = "%.3f, %.3f, %.3f" % tuple(scale[i]) self.color_entries[i].set_text(s) self.color_entries[i].activate() def get_color_scale(self, n, s): if s == 0: # Black - White scale = self.new_color_scale([[0, [0,0,0]], [1, [1,1,1]]], n) elif s == 1: # Black - Red - Yellow - White (STM colors) scale = self.new_color_scale([[0, [0,0,0]], [0.33, [1,0,0]], [0.67, [1,1,0]], [1, [1,1,1]]], n) elif s == 2: # Black - Green - White scale = self.new_color_scale([[0, [0,0,0]], [0.5, [0,0.9,0]], [0.75, [0.2,1.0,0.2]], [1, [1,1,1]]], n) elif s == 3: # Black - Blue - Cyan scale = self.new_color_scale([[0, [0,0,0]], [0.5, [0,0,1]], [1, [0,1,1]]], n) elif s == 4: # Hues hues = np.linspace(0.0, 1.0, n, endpoint=False) scale = ["%.3f, %.3f, %.3f" % colorsys.hls_to_rgb(h, 0.5, 1) for h in hues] elif s == 5: # Named colors scale = self.get_named_colors(n) else: scale = None return scale def new_color_scale(self, fixpoints, n): "Create a homogeneous color scale." x = np.array([a[0] for a in fixpoints], float) y = np.array([a[1] for a in fixpoints], float) assert y.shape[1] == 3 res = [] for a in np.linspace(0.0, 1.0, n, endpoint=True): n = x.searchsorted(a) if n == 0: v = y[0] # Before the start elif n == len(x): v = x[-1] # After the end else: x0 = x[n-1] x1 = x[n] y0 = y[n-1] y1 = y[n] v = y0 + (y1 - y0) / (x1 - x0) * (a - x0) res.append(v) return res def get_named_colors(self, n): if n <= len(named_colors): return named_colors[:n] else: return named_colors + ('Black',) * (n - len(named_colors)) def apply(self, *args): #if self.colormode in ['atno', 'jmol', 'tags']: # Color atoms according to an integer value number if self.color_errors: oops(_("Incorrect color specification"), "%s: %s" % self.color_errors.values()[0]) return False colordata = self.actual_colordata if self.colormode == 'force': # Use integers instead for border values colordata = [[i, x[1]] for i, x in enumerate(self.actual_colordata)] self.gui.colormode_force_data = self.colormode_force_data if self.colormode == 'velocity': # Use integers instead for border values colordata = [[i, x[1]] for i, x in enumerate(self.actual_colordata)] self.gui.colormode_velocity_data = self.colormode_velocity_data maxval = max([x for x, y in colordata]) self.gui.colors = [None] * (maxval + 1) new = self.gui.drawing_area.window.new_gc alloc = self.gui.colormap.alloc_color for z, val in colordata: if isinstance(val, str): self.gui.colors[z] = new(alloc(val)) else: clr = tuple([int(65535*x) for x in val]) assert len(clr) == 3 self.gui.colors[z] = new(alloc(*clr)) self.gui.colormode = self.colormode self.gui.colordata = self.actual_colordata self.gui.draw() return True def cancel(self, *args): self.destroy() def ok(self, *args): if self.apply(): self.destroy() python-ase-3.6.0.2515/ase/gui/minimize.py0000644000175400017540000001254711706276516016753 0ustar askhlaskhl# encoding: utf-8 "Module for performing energy minimization." import gtk from gettext import gettext as _ from ase.gui.simulation import Simulation from ase.gui.widgets import oops, pack, AseGuiCancelException import ase import numpy as np class MinimizeMixin: minimizers = ('BFGS', 'BFGSLineSearch', 'LBFGS', 'LBFGSLineSearch', 'MDMin', 'FIRE') def make_minimize_gui(self, box): self.algo = gtk.combo_box_new_text() for m in self.minimizers: self.algo.append_text(m) self.algo.set_active(0) self.algo.connect('changed', self.min_algo_specific) pack(box, [gtk.Label(_("Algorithm: ")), self.algo]) self.fmax = gtk.Adjustment(0.05, 0.00, 10.0, 0.01) self.fmax_spin = gtk.SpinButton(self.fmax, 0, 3) lbl = gtk.Label() lbl.set_markup(_("Convergence criterion: Fmax = ")) pack(box, [lbl, self.fmax_spin]) self.steps = gtk.Adjustment(100, 1, 1000000, 1) self.steps_spin = gtk.SpinButton(self.steps, 0, 0) pack(box, [gtk.Label(_("Max. number of steps: ")), self.steps_spin]) # Special stuff for MDMin lbl = gtk.Label(_("Pseudo time step: ")) self.mdmin_dt = gtk.Adjustment(0.05, 0.0, 10.0, 0.01) spin = gtk.SpinButton(self.mdmin_dt, 0, 3) self.mdmin_widgets = [lbl, spin] pack(box, self.mdmin_widgets) self.min_algo_specific() def min_algo_specific(self, *args): "SHow or hide algorithm-specific widgets." minimizer = self.minimizers[self.algo.get_active()] for w in self.mdmin_widgets: if minimizer == 'MDMin': w.show() else: w.hide() class Minimize(Simulation, MinimizeMixin): "Window for performing energy minimization." def __init__(self, gui): Simulation.__init__(self, gui) self.set_title(_("Energy minimization")) vbox = gtk.VBox() self.packtext(vbox, _("Minimize the energy with respect to the positions.")) self.packimageselection(vbox) pack(vbox, gtk.Label("")) self.make_minimize_gui(vbox) pack(vbox, gtk.Label("")) self.status_label = gtk.Label("") pack(vbox, [self.status_label]) self.makebutbox(vbox) vbox.show() self.add(vbox) self.show() self.gui.register_vulnerable(self) def run(self, *args): "User has pressed [Run]: run the minimization." if not self.setup_atoms(): return fmax = self.fmax.value steps = self.steps.value mininame = self.minimizers[self.algo.get_active()] self.begin(mode="min", algo=mininame, fmax=fmax, steps=steps) algo = getattr(ase.optimize, mininame) try: logger_func = self.gui.simulation['progress'].get_logger_stream except (KeyError, AttributeError): logger = None else: logger = logger_func() # Don't catch errors in the function. # Display status message self.status_label.set_text(_("Running ...")) self.status_label.modify_fg(gtk.STATE_NORMAL, gtk.gdk.color_parse('#AA0000')) while gtk.events_pending(): gtk.main_iteration() self.prepare_store_atoms() if mininame == "MDMin": minimizer = algo(self.atoms, logfile=logger, dt=self.mdmin_dt.value) else: minimizer = algo(self.atoms, logfile=logger) minimizer.attach(self.store_atoms) try: minimizer.run(fmax=fmax, steps=steps) except AseGuiCancelException: # Update display to reflect cancellation of simulation. self.status_label.set_text(_("Minimization CANCELLED after " "%i steps.") % (self.count_steps,)) self.status_label.modify_fg(gtk.STATE_NORMAL, gtk.gdk.color_parse('#AA4000')) except MemoryError: self.status_label.set_text(_("Out of memory, consider using " "LBFGS instead")) self.status_label.modify_fg(gtk.STATE_NORMAL, gtk.gdk.color_parse('#AA4000')) else: # Update display to reflect succesful end of simulation. self.status_label.set_text(_("Minimization completed in %i steps.") % (self.count_steps,)) self.status_label.modify_fg(gtk.STATE_NORMAL, gtk.gdk.color_parse('#007700')) self.end() if self.count_steps: # Notify other windows that atoms have changed. # This also notifies this window! self.gui.notify_vulnerable() # Open movie window and energy graph if self.gui.images.nimages > 1: self.gui.movie() assert not np.isnan(self.gui.images.E[0]) if not self.gui.plot_graphs_newatoms(): expr = 'i, e - E[-1]' self.gui.plot_graphs(expr=expr) def notify_atoms_changed(self): "When atoms have changed, check for the number of images." self.setupimageselection() python-ase-3.6.0.2515/ase/gui/constraints.py0000644000175400017540000000275711706276516017503 0ustar askhlaskhl#!/usr/bin/env python from math import sqrt import gtk from gettext import gettext as _ from ase.gui.widgets import pack, Help class Constraints(gtk.Window): def __init__(self, gui): gtk.Window.__init__(self) self.set_title(_('Constraints')) vbox = gtk.VBox() b = pack(vbox, [gtk.Button(_('Constrain')), gtk.Label(_(' selected atoms'))])[0] b.connect('clicked', self.selected) b = pack(vbox, [gtk.Button(_('Constrain')), gtk.Label(_(' immobile atoms:'))])[0] b.connect('clicked', self.immobile) b = pack(vbox, [gtk.Button(_('Unconstrain')), gtk.Label(_(' selected atoms:'))])[0] b.connect('clicked', self.unconstrain) b = pack(vbox, gtk.Button(_('Clear constraints'))) b.connect('clicked', self.clear) close = pack(vbox, gtk.Button(_('Close'))) close.connect('clicked', lambda widget: self.destroy()) self.add(vbox) vbox.show() self.show() self.gui = gui def selected(self, button): self.gui.images.dynamic[self.gui.images.selected] = False self.gui.draw() def unconstrain(self, button): self.gui.images.dynamic[self.gui.images.selected] = True self.gui.draw() def immobile(self, button): self.gui.images.set_dynamic() self.gui.draw() def clear(self, button): self.gui.images.dynamic[:] = True self.gui.draw() python-ase-3.6.0.2515/ase/gui/bulk_modulus.py0000644000175400017540000000202411207220276017610 0ustar askhlaskhl# -*- coding: utf-8 -*- from math import sqrt import numpy as np from ase.units import kJ from ase.utils.eos import EquationOfState def BulkModulus(images): v = np.array([abs(np.linalg.det(A)) for A in images.A]) #import matplotlib.pyplot as plt import pylab as plt plt.ion() EquationOfState(v, images.E).plot() """ fit = np.poly1d(np.polyfit(v**-(1.0 / 3), images.E, 3)) fit1 = np.polyder(fit, 1) fit2 = np.polyder(fit1, 1) for t in np.roots(fit1): if t > 0 and fit2(t) > 0: break v0 = t**-3 e0 = fit(t) B = t**5 * fit2(t) / 9 / kJ * 1.0e24 # Gpa import pylab import matplotlib #matplotlib.use('GTK') pylab.ion() x = 3.95 pylab.figure(figsize=(x * 2.5**0.5, x)) pylab.plot(v, images.E, 'o') x = np.linspace(min(v), max(v), 100) pylab.plot(x, fit(x**-(1.0 / 3)), '-r') pylab.xlabel(u'volume [Ã…^3]') pylab.ylabel(u'energy [eV]') pylab.title(u'E: %.3f eV, V: %.3f Ã…^3, B: %.3f GPa' % (e0, v0, B)) pylab.show() """ python-ase-3.6.0.2515/ase/gui/__init__.py0000644000175400017540000000000010761014616016635 0ustar askhlaskhlpython-ase-3.6.0.2515/ase/gui/execute.py0000644000175400017540000003256311706276516016574 0ustar askhlaskhl#!/usr/bin/env python import __future__ import gtk from gettext import gettext as _ import os.path import numpy as np import sys from ase.gui.widgets import pack, Help from ase.data.colors import jmol_colors from ase.atoms import Atoms class Execute(gtk.Window): """ The Execute class provides an expert-user window for modification and evaluation of system properties with a simple one-line command structure. There are two types of commands, one set only applies to the global image and one set applies to all atoms. If the command line contains any of the atom commands, then it is executed separately for all atoms and for all images. Otherwise it is executed only once per image. Please do not mix global and atom commands.""" terminal_help_txt=_(""" Global commands work on all frames or only on the current frame - Assignment of a global variable may not reference a local one - use 'Current frame' switch to switch off application to all frames e:\t\ttotal energy of one frame fmax:\tmaximal force in one frame A:\tunit cell E:\t\ttotal energy array of all frames F:\t\tall forces in one frame M:\tall magnetic moments R:\t\tall atomic positions S:\tall selected atoms (boolean array) D:\tall dynamic atoms (boolean array) examples: frame = 1, A[0][1] += 4, e-E[-1] Atom commands work on each atom (or a selection) individually - these can use global commands on the RHS of an equation - use 'selected atoms only' to restrict application of command x,y,z:\tatomic coordinates r,g,b:\tatom display color, range is [0..1] rad:\tatomic radius for display s:\t\tatom is selected d:\t\tatom is movable f:\t\tforce Z:\tatomic number m:\tmagnetic moment examples: x -= A[0][0], s = z > 5, Z = 6 Special commands and objects: sa,cf:\t(un)restrict to selected atoms/current frame frame:\tframe number center:\tcenters the system in its existing unit cell del S:\tdelete selection CM:\tcenter of mass ans[-i]:\tith last calculated result exec file: executes commands listed in file cov[Z]:(read only): covalent radius of atomic number Z gui:\tadvanced: ag window python object img:\tadvanced: ag images object """) def __init__(self, gui): gtk.Window.__init__(self) self.gui = gui self.set_title(_('Expert user mode')) vbox = gtk.VBox() vbox.set_border_width(5) self.sw = gtk.ScrolledWindow() self.sw.set_policy(gtk.POLICY_AUTOMATIC, gtk.POLICY_AUTOMATIC) self.textview = gtk.TextView() self.textbuffer = self.textview.get_buffer() self.textview.set_editable(False) self.textview.set_cursor_visible(False) self.sw.add(self.textview) pack(vbox, self.sw, expand=True, padding = 5) self.sw.set_size_request(540, 150) self.textview.show() self.add_text(_('Welcome to the ASE Expert user mode')) self.cmd = gtk.Entry(60) self.cmd.connect('activate', self.execute) self.cmd.connect('key-press-event', self.update_command_buffer) pack(vbox, [gtk.Label('>>>'),self.cmd]) self.cmd_buffer = getattr(gui,'expert_mode_buffer',['']) self.cmd_position = len(self.cmd_buffer)-1 self.selected = gtk.CheckButton(_('Only selected atoms (sa) ')) self.selected.connect('toggled',self.selected_changed) self.images_only = gtk.CheckButton(_('Only current frame (cf) ')) self.images_only.connect('toggled',self.images_changed) pack(vbox, [self.selected, self.images_only]) save_button = gtk.Button(stock=gtk.STOCK_SAVE) save_button.connect('clicked',self.save_output) help_button = gtk.Button(stock=gtk.STOCK_HELP) help_button.connect('clicked',self.terminal_help,"") stop_button = gtk.Button(stock=gtk.STOCK_STOP) stop_button.connect('clicked',self.stop_execution) self.stop = False pack(vbox, [gtk.Label(_('Global: Use A, D, E, M, N, R, S, n, frame;' ' Atoms: Use a, f, m, s, x, y, z, Z ')), stop_button, help_button, save_button], end = True) self.add(vbox) vbox.show() self.show() # set color mode to manual when opening this window for rgb manipulation self.colors = self.gui.get_colors() rgb_data = self.gui.get_colors(rgb = True) self.rgb_data = [] # ensure proper format of rgb_data for i, rgb in enumerate(rgb_data): self.rgb_data += [[i, rgb]] self.gui.colordata = self.rgb_data self.gui.colors = list(self.colors) self.gui.colormode = 'manual' self.cmd.grab_focus() def execute(self, widget=None, cmd = None): global_commands = ['A','Col','D','e','E','F','frame','M','n','N','R','S'] # explicitly 'implemented' commands for use on whole system or entire single frame index_commands = ['a','b','d','f','g','m','r','rad','s','x','y','z','Z'] # commands for use on all (possibly selected) atoms new = self.gui.drawing_area.window.new_gc alloc = self.gui.colormap.alloc_color self.stop = False if cmd is None: cmd = self.cmd.get_text().strip() if len(cmd) == 0: return self.add_text('>>> '+cmd) self.cmd_buffer[-1] = cmd self.cmd_buffer += [''] setattr(self.gui,'expert_mode_buffer', self.cmd_buffer) self.cmd_position = len(self.cmd_buffer)-1 self.cmd.set_text('') else: self.add_text('--> '+cmd) gui = self.gui img = gui.images frame = gui.frame N = img.nimages n = img.natoms S = img.selected D = img.dynamic[:, np.newaxis] E = img.E if self.selected.get_active(): indices = np.where(S)[0] else: indices = range(n) ans = getattr(gui,'expert_mode_answers',[]) loop_images = range(N) if self.images_only.get_active(): loop_images = [self.gui.frame] # split off the first valid command in cmd to determine whether # it is global or index based, this includes things such as 4*z and z*4 index_based = False first_command = cmd.split()[0] special = ['=',',','+','-','/','*',';','.','[',']','(',')', '{','}','0','1','2','3','4','5','6','7','8','9'] while first_command[0] in special and len(first_command)>1: first_command = first_command[1:] for c in special: if c in first_command: first_command = first_command[:first_command.find(c)] for c in index_commands: if c == first_command: index_based = True name = os.path.expanduser('~/.ase/'+cmd) # check various special commands: if os.path.exists(name): # run script from default directory self.run_script(name) elif cmd == 'del S': # delete selection gui.delete_selected_atoms() elif cmd == 'sa': # selected atoms only self.selected.set_active(not self.selected.get_active()) elif cmd == 'cf': # current frame only self.images_only.set_active(not self.images_only.get_active()) elif cmd == 'center': # center system img.center() elif cmd == 'CM': # calculate center of mass for i in loop_images: if self.stop: break atoms = Atoms(positions=img.P[i][indices], numbers=img.Z[indices]) self.add_text(repr(atoms.get_center_of_mass())) ans += [atoms.get_center_of_mass()] elif first_command == 'exec': # execute script name = cmd.split()[1] if '~' in name: name = os.path.expanduser(name) if os.path.exists(name): self.run_script(name) else: self.add_text(_('*** WARNING: file does not exist - %s') % name) else: code = compile(cmd + '\n', 'execute.py', 'single', __future__.CO_FUTURE_DIVISION) if index_based and len(indices) == 0 and self.selected.get_active(): self.add_text(_("*** WARNING: No atoms selected to work with")) for i in loop_images: if self.stop: break R = img.P[i][indices] A = img.A[i] F = img.F[i][indices] e = img.E[i] M = img.M[i][indices] Col = [] cov = img.covalent_radii for j in indices: Col += [gui.colordata[j]] if len(indices) > 0: fmax = max(((F * D[indices])**2).sum(1)**.5) else: fmax = None frame = gui.frame if not index_based: try: self.add_text(repr(eval(cmd))) ans += [eval(cmd)] except: exec code gui.set_frame(frame) if gui.movie_window is not None: gui.movie_window.frame_number.value = frame img.selected = S img.A[i] = A img.P[i][indices] = R img.M[i][indices] = M else: for n,a in enumerate(indices): if self.stop: break x, y, z = R[n] r, g, b = Col[n][1] d = D[a] f = np.vdot(F[n]*d,F[n]*d)**0.5 s = S[a] Z = img.Z[a] Zold = Z m = M[n] rad = img.r[a] try: self.add_text(repr(eval(cmd))) ans += [eval(cmd)] except: exec code S[a] = s img.P[i][a] = x, y, z img.Z[a] = Z img.r[a] = rad img.dynamic[a] = d if Z != Zold: img.r[a] = cov[Z] * 0.89 r,g,b = jmol_colors[Z] gui.colordata[a] = [a,[r,g,b]] color = tuple([int(65535*x) for x in [r,g,b]]) gui.colors[a] = new(alloc(*color)) img.M[i][a] = m setattr(self.gui,'expert_mode_answers', ans) gui.set_frame(frame,init=True) def add_text(self,val): text_end = self.textbuffer.get_end_iter() self.textbuffer.insert(text_end,val+'\n'); if self.sw.get_vscrollbar() is not None: scroll = self.sw.get_vscrollbar().get_adjustment() scroll.set_value(scroll.get_upper()) def selected_changed(self, *args): if self.selected.get_active(): self.add_text(_('*** Only working on selected atoms')) else: self.add_text(_('*** Working on all atoms')) def images_changed(self, *args): if self.images_only.get_active(): self.add_text(_('*** Only working on current image')) else: self.add_text(_('*** Working on all images')) def update_command_buffer(self, entry, event, *args): arrow = {gtk.keysyms.Up: -1, gtk.keysyms.Down: 1}.get(event.keyval, None) if arrow is not None: self.cmd_position += arrow self.cmd_position = max(self.cmd_position,0) self.cmd_position = min(self.cmd_position,len(self.cmd_buffer)-1) cmd = self.cmd_buffer[self.cmd_position] self.cmd.set_text(cmd) return True else: return False def save_output(self, *args): chooser = gtk.FileChooserDialog( _('Save Terminal text ...'), None, gtk.FILE_CHOOSER_ACTION_SAVE, (gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_SAVE, gtk.RESPONSE_OK)) save = chooser.run() if save == gtk.RESPONSE_OK or save == gtk.RESPONSE_SAVE: filename = chooser.get_filename() text = self.textbuffer.get_text(self.textbuffer.get_start_iter(), self.textbuffer.get_end_iter()) fd = open(filename,'w') fd.write(text) fd.close() chooser.destroy() def run_script(self, name): commands = open(name,'r').readlines() for c_parse in commands: c = c_parse.strip() if '#' in c: c = c[:c.find('#')].strip() if len(c) > 0: self.execute(cmd = c.strip()) def terminal_help(self,*args): Help(self.terminal_help_txt) def stop_execution(self, *args): self.stop = True python = execute python-ase-3.6.0.2515/ase/gui/calculator.py0000644000175400017540000023511111711330540017235 0ustar askhlaskhl# encoding: utf-8 "calculator.py - module for choosing a calculator." import gtk from gettext import gettext as _ import os import numpy as np from copy import copy from ase.gui.setupwindow import SetupWindow from ase.gui.progress import DefaultProgressIndicator, GpawProgressIndicator from ase.gui.widgets import pack, oops, cancel_apply_ok from ase import Atoms from ase.data import chemical_symbols import ase # Asap and GPAW may be imported if selected. introtext = _("""\ To make most calculations on the atoms, a Calculator object must first be associated with it. ASE supports a number of calculators, supporting different elements, and implementing different physical models for the interatomic interactions.\ """) # Informational text about the calculators lj_info_txt = _("""\ The Lennard-Jones pair potential is one of the simplest possible models for interatomic interactions, mostly suitable for noble gasses and model systems. Interactions are described by an interaction length and an interaction strength.\ """) emt_info_txt = _("""\ The EMT potential is a many-body potential, giving a good description of the late transition metals crystalling in the FCC crystal structure. The elements described by the main set of EMT parameters are Al, Ni, Cu, Pd, Ag, Pt, and Au, the Al potential is however not suitable for materials science application, as the stacking fault energy is wrong. A number of parameter sets are provided. Default parameters: The default EMT parameters, as published in K. W. Jacobsen, P. Stoltze and J. K. Nørskov, Surf. Sci. 366, 394 (1996). Alternative Cu, Ag and Au: An alternative set of parameters for Cu, Ag and Au, reoptimized to experimental data including the stacking fault energies by Torben Rasmussen (partly unpublished). Ruthenium: Parameters for Ruthenium, as published in J. Gavnholt and J. Schiøtz, Phys. Rev. B 77, 035404 (2008). Metallic glasses: Parameters for MgCu and CuZr metallic glasses. MgCu parameters are in N. P. Bailey, J. Schiøtz and K. W. Jacobsen, Phys. Rev. B 69, 144205 (2004). CuZr in A. Paduraru, A. Kenoufi, N. P. Bailey and J. Schiøtz, Adv. Eng. Mater. 9, 505 (2007). """) aseemt_info_txt = _("""\ The EMT potential is a many-body potential, giving a good description of the late transition metals crystalling in the FCC crystal structure. The elements described by the main set of EMT parameters are Al, Ni, Cu, Pd, Ag, Pt, and Au. In addition, this implementation allows for the use of H, N, O and C adatoms, although the description of these is most likely not very good. This is the ASE implementation of EMT. For large simulations the ASAP implementation is more suitable; this implementation is mainly to make EMT available when ASAP is not installed. """) brenner_info_txt = _("""\ The Brenner potential is a reactive bond-order potential for carbon and hydrocarbons. As a bond-order potential, it takes into account that carbon orbitals can hybridize in different ways, and that carbon can form single, double and triple bonds. That the potential is reactive means that it can handle gradual changes in the bond order as chemical bonds are formed or broken. The Brenner potential is implemented in Asap, based on a C implentation published at http://www.rahul.net/pcm/brenner/ . The potential is documented here: Donald W Brenner, Olga A Shenderova, Judith A Harrison, Steven J Stuart, Boris Ni and Susan B Sinnott: "A second-generation reactive empirical bond order (REBO) potential energy expression for hydrocarbons", J. Phys.: Condens. Matter 14 (2002) 783-802. doi: 10.1088/0953-8984/14/4/312 """) gpaw_info_txt = _("""\ GPAW implements Density Functional Theory using a Grid-based real-space representation of the wave functions, and the Projector Augmented Wave method for handling the core regions. """) aims_info_txt = _("""\ FHI-aims is an external package implementing density functional theory and quantum chemical methods using all-electron methods and a numeric local orbital basis set. For full details, see http://www.fhi-berlin.mpg.de/aims/ or Comp. Phys. Comm. v180 2175 (2009). The ASE documentation contains information on the keywords and functionalities available within this interface. """) aims_pbc_warning_text = _("""\ WARNING: Your system seems to have more than zero but less than three periodic dimensions. Please check that this is really what you want to compute. Assuming full 3D periodicity for this calculator.""") vasp_info_txt = _("""\ VASP is an external package implementing density functional functional theory using pseudopotentials or the projector-augmented wave method together with a plane wave basis set. For full details, see http://cms.mpi.univie.ac.at/vasp/vasp/ """) emt_parameters = ( (_("Default (Al, Ni, Cu, Pd, Ag, Pt, Au)"), None), (_("Alternative Cu, Ag and Au"), "EMTRasmussenParameters"), (_("Ruthenium"), "EMThcpParameters"), (_("CuMg and CuZr metallic glass"), "EMTMetalGlassParameters") ) class SetCalculator(SetupWindow): "Window for selecting a calculator." # List the names of the radio button attributes radios = ("none", "lj", "emt", "aseemt", "brenner", "gpaw", "aims", "vasp") # List the names of the parameter dictionaries paramdicts = ("lj_parameters","gpaw_parameters","aims_parameters",) # The name used to store parameters on the gui object classname = "SetCalculator" def __init__(self, gui): SetupWindow.__init__(self) self.set_title(_("Select calculator")) vbox = gtk.VBox() # Intoductory text self.packtext(vbox, introtext) pack(vbox, [gtk.Label(_("Calculator:"))]) # No calculator (the default) self.none_radio = gtk.RadioButton(None, _("None")) pack(vbox, [self.none_radio]) # Lennard-Jones self.lj_radio = gtk.RadioButton(self.none_radio, _("Lennard-Jones (ASAP)")) self.lj_setup = gtk.Button(_("Setup")) self.lj_info = InfoButton(lj_info_txt) self.lj_setup.connect("clicked", self.lj_setup_window) self.pack_line(vbox, self.lj_radio, self.lj_setup, self.lj_info) # EMT self.emt_radio = gtk.RadioButton( self.none_radio, _("EMT - Effective Medium Theory (ASAP)")) self.emt_setup = gtk.combo_box_new_text() self.emt_param_info = {} for p in emt_parameters: self.emt_setup.append_text(p[0]) self.emt_param_info[p[0]] = p[1] self.emt_setup.set_active(0) self.emt_info = InfoButton(emt_info_txt) self.pack_line(vbox, self.emt_radio, self.emt_setup, self.emt_info) # EMT (ASE implementation) self.aseemt_radio = gtk.RadioButton( self.none_radio, _("EMT - Effective Medium Theory (ASE)")) self.aseemt_info = InfoButton(aseemt_info_txt) self.pack_line(vbox, self.aseemt_radio, None, self.aseemt_info) # Brenner potential self.brenner_radio = gtk.RadioButton( self.none_radio, _("Brenner Potential (ASAP)")) self.brenner_info = InfoButton(brenner_info_txt) self.pack_line(vbox, self.brenner_radio, None, self.brenner_info) # GPAW self.gpaw_radio = gtk.RadioButton(self.none_radio, _("Density Functional Theory (GPAW)") ) self.gpaw_setup = gtk.Button(_("Setup")) self.gpaw_info = InfoButton(gpaw_info_txt) self.gpaw_setup.connect("clicked", self.gpaw_setup_window) self.pack_line(vbox, self.gpaw_radio, self.gpaw_setup, self.gpaw_info) # FHI-aims self.aims_radio = gtk.RadioButton(self.none_radio, _("Density Functional Theory " "(FHI-aims)")) self.aims_setup = gtk.Button(_("Setup")) self.aims_info = InfoButton(aims_info_txt) self.aims_setup.connect("clicked", self.aims_setup_window) self.pack_line(vbox, self.aims_radio, self.aims_setup, self.aims_info) # VASP self.vasp_radio = gtk.RadioButton(self.none_radio, _("Density Functional Theory " "(VASP)")) self.vasp_setup = gtk.Button(_("Setup")) self.vasp_info = InfoButton(vasp_info_txt) self.vasp_setup.connect("clicked", self.vasp_setup_window) self.pack_line(vbox, self.vasp_radio, self.vasp_setup, self.vasp_info) # Buttons etc. pack(vbox, gtk.Label("")) buts = cancel_apply_ok(cancel=lambda widget: self.destroy(), apply=self.apply, ok=self.ok) pack(vbox, [buts], end=True, bottom=True) self.check = gtk.CheckButton(_("Check that the calculator is " "reasonable.")) self.check.set_active(True) fr = gtk.Frame() fr.add(self.check) fr.show_all() pack(vbox, [fr], end=True, bottom=True) # Finalize setup self.add(vbox) vbox.show() self.show() self.gui = gui self.load_state() def pack_line(self, box, radio, setup, info): hbox = gtk.HBox() hbox.pack_start(radio, 0, 0) hbox.pack_start(gtk.Label(" "), 0, 0) hbox.pack_end(info, 0, 0) if setup is not None: radio.connect("toggled", self.radio_toggled, setup) setup.set_sensitive(False) hbox.pack_end(setup, 0, 0) hbox.show_all() box.pack_start(hbox, 0, 0) def radio_toggled(self, radio, button): button.set_sensitive(radio.get_active()) def lj_setup_window(self, widget): if not self.get_atoms(): return lj_param = getattr(self, "lj_parameters", None) LJ_Window(self, lj_param, "lj_parameters") # When control is retuned, self.lj_parameters has been set. def gpaw_setup_window(self, widget): if not self.get_atoms(): return gpaw_param = getattr(self, "gpaw_parameters", None) GPAW_Window(self, gpaw_param, "gpaw_parameters") # When control is retuned, self.gpaw_parameters has been set. def aims_setup_window(self, widget): if not self.get_atoms(): return aims_param = getattr(self, "aims_parameters", None) AIMS_Window(self, aims_param, "aims_parameters") # When control is retuned, self.aims_parameters has been set. def vasp_setup_window(self, widget): if not self.get_atoms(): return vasp_param = getattr(self, "vasp_parameters", None) VASP_Window(self, vasp_param, "vasp_parameters") # When control is retuned, self.vasp_parameters has been set. def get_atoms(self): "Make an atoms object from the active frame" images = self.gui.images frame = self.gui.frame if images.natoms < 1: oops(_("No atoms present")) return False self.atoms = Atoms(positions=images.P[frame], symbols=images.Z, cell=images.A[frame], pbc=images.pbc, magmoms=images.M[frame]) if not images.dynamic.all(): from ase.constraints import FixAtoms self.atoms.set_constraint(FixAtoms(mask=1-images.dynamic)) return True def apply(self, *widget): if self.do_apply(): self.save_state() return True else: return False def do_apply(self): nochk = not self.check.get_active() self.gui.simulation["progress"] = DefaultProgressIndicator() if self.none_radio.get_active(): self.gui.simulation['calc'] = None return True elif self.lj_radio.get_active(): if nochk or self.lj_check(): self.choose_lj() return True elif self.emt_radio.get_active(): if nochk or self.emt_check(): self.choose_emt() return True elif self.aseemt_radio.get_active(): if nochk or self.aseemt_check(): self.choose_aseemt() return True elif self.brenner_radio.get_active(): if nochk or self.brenner_check(): self.choose_brenner() return True elif self.gpaw_radio.get_active(): if nochk or self.gpaw_check(): self.choose_gpaw() return True elif self.aims_radio.get_active(): if nochk or self.aims_check(): self.choose_aims() return True elif self.vasp_radio.get_active(): if nochk or self.vasp_check(): self.choose_vasp() return True return False def ok(self, *widget): if self.apply(): self.destroy() def save_state(self): state = {} for r in self.radios: radiobutton = getattr(self, r+"_radio") if radiobutton.get_active(): state["radio"] = r state["emtsetup"] = self.emt_setup.get_active() state["check"] = self.check.get_active() for p in self.paramdicts: if hasattr(self, p): state[p] = getattr(self, p) self.gui.module_state[self.classname] = state def load_state(self): try: state = self.gui.module_state[self.classname] except KeyError: return r = state["radio"] radiobutton = getattr(self, r + "_radio") radiobutton.set_active(True) self.emt_setup.set_active(state["emtsetup"]) self.check.set_active(state["check"]) for p in self.paramdicts: if state.has_key(p): setattr(self, p, state[p]) def lj_check(self): try: import asap3 except ImportError: oops(_("ASAP is not installed. (Failed to import asap3)")) return False if not hasattr(self, "lj_parameters"): oops(_("You must set up the Lennard-Jones parameters")) return False try: self.atoms.set_calculator(asap3.LennardJones(**self.lj_parameters)) except (asap3.AsapError, TypeError, ValueError), e: oops(_("Could not create useful Lennard-Jones calculator."), str(e)) return False return True def choose_lj(self): # Define a function on the fly! import asap3 def lj_factory(p=self.lj_parameters, lj=asap3.LennardJones): return lj(**p) self.gui.simulation["calc"] = lj_factory def emt_get(self): import asap3 provider_name = self.emt_setup.get_active_text() provider = self.emt_param_info[provider_name] if provider is not None: provider = getattr(asap3, provider) return (asap3.EMT, provider, asap3) def emt_check(self): if not self.get_atoms(): return False try: emt, provider, asap3 = self.emt_get() except ImportError: oops(_("ASAP is not installed. (Failed to import asap3)")) return False try: if provider is not None: self.atoms.set_calculator(emt(provider())) else: self.atoms.set_calculator(emt()) except (asap3.AsapError, TypeError, ValueError), e: oops(_("Could not attach EMT calculator to the atoms."), str(e)) return False return True def choose_emt(self): emt, provider, asap3 = self.emt_get() if provider is None: emt_factory = emt else: def emt_factory(emt=emt, prov=provider): return emt(prov()) self.gui.simulation["calc"] = emt_factory def aseemt_check(self): return self.element_check("ASE EMT", ['H', 'Al', 'Cu', 'Ag', 'Au', 'Ni', 'Pd', 'Pt', 'C', 'N', 'O']) def choose_aseemt(self): self.gui.simulation["calc"] = ase.EMT ase.EMT.disabled = False # In case Asap has been imported. def brenner_check(self): try: import asap3 except ImportError: oops(_("ASAP is not installed. (Failed to import asap3)")) return False return self.element_check("Brenner potential", ['H', 'C', 'Si']) def choose_brenner(self): import asap3 self.gui.simulation["calc"] = asap3.BrennerPotential def choose_aseemt(self): self.gui.simulation["calc"] = ase.EMT ase.EMT.disabled = False # In case Asap has been imported. def gpaw_check(self): try: import gpaw except ImportError: oops(_("GPAW is not installed. (Failed to import gpaw)")) return False if not hasattr(self, "gpaw_parameters"): oops(_("You must set up the GPAW parameters")) return False return True def choose_gpaw(self): # This reuses the same GPAW object. try: import gpaw except ImportError: oops(_("GPAW is not installed. (Failed to import gpaw)")) return False p = self.gpaw_parameters use = ["xc", "kpts", "mode"] if p["use_h"]: use.append("h") else: use.append("gpts") if p["mode"] == "lcao": use.append("basis") gpaw_param = {} for s in use: gpaw_param[s] = p[s] if p["use mixer"]: mx = getattr(gpaw, p["mixer"]) mx_args = {} mx_arg_n = ["beta", "nmaxold", "weight"] if p["mixer"] == "MixerDiff": mx_arg_n.extend(["beta_m", "nmaxold_m", "weight_m"]) for s in mx_arg_n: mx_args[s] = p[s] gpaw_param["mixer"] = mx(**mx_args) progress = GpawProgressIndicator() self.gui.simulation["progress"] = progress gpaw_param["txt"] = progress.get_gpaw_stream() gpaw_calc = gpaw.GPAW(**gpaw_param) def gpaw_factory(calc = gpaw_calc): return calc self.gui.simulation["calc"] = gpaw_factory def aims_check(self): if not hasattr(self, "aims_parameters"): oops(_("You must set up the FHI-aims parameters")) return False return True def choose_aims(self): param = self.aims_parameters from ase.calculators.aims import Aims calc_aims = Aims(**param) def aims_factory(calc = calc_aims): return calc self.gui.simulation["calc"] = aims_factory def vasp_check(self): if not hasattr(self, "vasp_parameters"): oops(_("You must set up the VASP parameters")) return False return True def choose_vasp(self): param = self.vasp_parameters from ase.calculators.vasp import Vasp calc_vasp = Vasp(**param) def vasp_factory(calc = calc_vasp): return calc self.gui.simulation["calc"] = vasp_factory def element_check(self, name, elements): "Check that all atoms are allowed" elements = [ase.data.atomic_numbers[s] for s in elements] elements_dict = {} for e in elements: elements_dict[e] = True if not self.get_atoms(): return False try: for e in self.atoms.get_atomic_numbers(): elements_dict[e] except KeyError: oops(_("Element %(sym)s not allowed by the '%(name)s' calculator") % dict(sym=ase.data.chemical_symbols[e], name=name)) return False return True class InfoButton(gtk.Button): def __init__(self, txt): gtk.Button.__init__(self, _("Info")) self.txt = txt self.connect('clicked', self.run) def run(self, widget): dialog = gtk.MessageDialog(flags=gtk.DIALOG_MODAL, type=gtk.MESSAGE_INFO, buttons=gtk.BUTTONS_CLOSE) dialog.set_markup(self.txt) dialog.connect('response', lambda x, y: dialog.destroy()) dialog.show() class LJ_Window(gtk.Window): def __init__(self, owner, param, attrname): gtk.Window.__init__(self) self.set_title(_("Lennard-Jones parameters")) self.owner = owner self.attrname = attrname atoms = owner.atoms atnos = atoms.get_atomic_numbers() found = {} for z in atnos: found[z] = True self.present = found.keys() self.present.sort() # Sorted list of atomic numbers nelem = len(self.present) vbox = gtk.VBox() label = gtk.Label(_("Specify the Lennard-Jones parameters here")) pack(vbox, [label]) pack(vbox, gtk.Label("")) pack(vbox, [gtk.Label(_("Epsilon (eV):"))]) tbl, self.epsilon_adj = self.makematrix(self.present) pack(vbox, [tbl]) pack(vbox, gtk.Label("")) pack(vbox, [gtk.Label(_("Sigma (Ã…):"))]) tbl, self.sigma_adj = self.makematrix(self.present) pack(vbox, [tbl]) # TRANSLATORS: Shift roughly means adjust (about a potential) self.modif = gtk.CheckButton(_("Shift to make smooth at cutoff")) self.modif.set_active(True) pack(vbox, gtk.Label("")) pack(vbox, self.modif) pack(vbox, gtk.Label("")) butbox = gtk.HButtonBox() cancel_but = gtk.Button(stock=gtk.STOCK_CANCEL) cancel_but.connect('clicked', lambda widget: self.destroy()) ok_but = gtk.Button(stock=gtk.STOCK_OK) ok_but.connect('clicked', self.ok) butbox.pack_start(cancel_but, 0, 0) butbox.pack_start(ok_but, 0, 0) butbox.show_all() pack(vbox, [butbox], end=True, bottom=True) vbox.show() self.add(vbox) # Now, set the parameters if param and param['elements'] == self.present: self.set_param(self.epsilon_adj, param["epsilon"], nelem) self.set_param(self.sigma_adj, param["sigma"], nelem) self.modif.set_active(param["modified"]) self.show() self.grab_add() # Lock all other windows def makematrix(self, present): nelem = len(present) adjdict = {} tbl = gtk.Table(2+nelem, 2+nelem) for i in range(nelem): s = chemical_symbols[present[i]] tbl.attach(gtk.Label(" " + str(present[i])), 0, 1, i, i+1) tbl.attach(gtk.Label(" "+s+" "), 1, 2, i, i+1) tbl.attach(gtk.Label(str(present[i])), i+2, i+3, 1+nelem, 2+nelem) tbl.attach(gtk.Label(s), i+2, i+3, nelem, 1+nelem) for j in range(i+1): adj = gtk.Adjustment(1.0, 0.0, 100.0, 0.1) spin = gtk.SpinButton(adj, 0.1, 3) tbl.attach(spin, 2+j, 3+j, i, i+1) adjdict[(i,j)] = adj tbl.show_all() return tbl, adjdict def set_param(self, adj, params, n): for i in range(n): for j in range(n): if j <= i: adj[(i,j)].value = params[i,j] def get_param(self, adj, params, n): for i in range(n): for j in range(n): if j <= i: params[i,j] = params[j,i] = adj[(i,j)].value def destroy(self): self.grab_remove() gtk.Window.destroy(self) def ok(self, *args): params = {} params["elements"] = copy(self.present) n = len(self.present) eps = np.zeros((n,n)) self.get_param(self.epsilon_adj, eps, n) sigma = np.zeros((n,n)) self.get_param(self.sigma_adj, sigma, n) params["epsilon"] = eps params["sigma"] = sigma params["modified"] = self.modif.get_active() setattr(self.owner, self.attrname, params) self.destroy() class GPAW_Window(gtk.Window): gpaw_xc_list = ['LDA', 'PBE', 'RPBE', 'revPBE'] gpaw_xc_default = 'PBE' def __init__(self, owner, param, attrname): gtk.Window.__init__(self) self.set_title(_("GPAW parameters")) self.owner = owner self.attrname = attrname atoms = owner.atoms self.ucell = atoms.get_cell() self.size = tuple([self.ucell[i,i] for i in range(3)]) self.pbc = atoms.get_pbc() self.orthogonal = self.isorthogonal(self.ucell) self.natoms = len(atoms) vbox = gtk.VBox() #label = gtk.Label("Specify the GPAW parameters here") #pack(vbox, [label]) # Print some info txt = _("%i atoms.\n") % (self.natoms,) if self.orthogonal: txt += _("Orthogonal unit cell: %.2f x %.2f x %.2f Ã….") % self.size else: txt += _("Non-orthogonal unit cell:\n") txt += str(self.ucell) pack(vbox, [gtk.Label(txt)]) # XC potential self.xc = gtk.combo_box_new_text() for i, x in enumerate(self.gpaw_xc_list): self.xc.append_text(x) if x == self.gpaw_xc_default: self.xc.set_active(i) pack(vbox, [gtk.Label(_("Exchange-correlation functional: ")), self.xc]) # Grid spacing self.radio_h = gtk.RadioButton(None, _("Grid spacing")) self.h = gtk.Adjustment(0.18, 0.0, 1.0, 0.01) self.h_spin = gtk.SpinButton(self.h, 0, 2) pack(vbox, [self.radio_h, gtk.Label(" h = "), self.h_spin, gtk.Label(_("Ã…"))]) self.radio_gpts = gtk.RadioButton(self.radio_h, _("Grid points")) self.gpts = [] self.gpts_spin = [] for i in range(3): g = gtk.Adjustment(4, 4, 1000, 4) s = gtk.SpinButton(g, 0, 0) self.gpts.append(g) self.gpts_spin.append(s) self.gpts_hlabel = gtk.Label("") self.gpts_hlabel_format = _("heff = (%.3f, %.3f, %.3f) Ã…") pack(vbox, [self.radio_gpts, gtk.Label(" gpts = ("), self.gpts_spin[0], gtk.Label(", "), self.gpts_spin[1], gtk.Label(", "), self.gpts_spin[2], gtk.Label(") "), self.gpts_hlabel]) self.radio_h.connect("toggled", self.radio_grid_toggled) self.radio_gpts.connect("toggled", self.radio_grid_toggled) self.radio_grid_toggled(None) for g in self.gpts: g.connect("value-changed", self.gpts_changed) self.h.connect("value-changed", self.h_changed) # K-points self.kpts = [] self.kpts_spin = [] for i in range(3): if self.pbc[i] and self.orthogonal: default = np.ceil(20.0 / self.size[i]) else: default = 1 g = gtk.Adjustment(default, 1, 100, 1) s = gtk.SpinButton(g, 0, 0) self.kpts.append(g) self.kpts_spin.append(s) if not self.pbc[i]: s.set_sensitive(False) g.connect("value-changed", self.k_changed) pack(vbox, [gtk.Label(_("k-points k = (")), self.kpts_spin[0], gtk.Label(", "), self.kpts_spin[1], gtk.Label(", "), self.kpts_spin[2], gtk.Label(")")]) self.kpts_label = gtk.Label("") self.kpts_label_format = _("k-points x size: (%.1f, %.1f, %.1f) Ã…") pack(vbox, [self.kpts_label]) self.k_changed() # Spin polarized self.spinpol = gtk.CheckButton(_("Spin polarized")) pack(vbox, [self.spinpol]) pack(vbox, gtk.Label("")) # Mode and basis functions self.mode = gtk.combo_box_new_text() self.mode.append_text(_("FD - Finite Difference (grid) mode")) self.mode.append_text(_("LCAO - Linear Combination of Atomic " "Orbitals")) self.mode.set_active(0) pack(vbox, [gtk.Label(_("Mode: ")), self.mode]) self.basis = gtk.combo_box_new_text() self.basis.append_text(_("sz - Single Zeta")) self.basis.append_text(_("szp - Single Zeta polarized")) self.basis.append_text(_("dzp - Double Zeta polarized")) self.basis.set_active(2) # dzp pack(vbox, [gtk.Label(_("Basis functions: ")), self.basis]) pack(vbox, gtk.Label("")) self.mode.connect("changed", self.mode_changed) self.mode_changed() # Mixer self.use_mixer = gtk.CheckButton(_("Non-standard mixer parameters")) pack(vbox, [self.use_mixer]) self.radio_mixer = gtk.RadioButton(None, "Mixer ") self.radio_mixersum = gtk.RadioButton(self.radio_mixer, "MixerSum ") self.radio_mixerdiff = gtk.RadioButton(self.radio_mixer, "MixerDiff") pack(vbox, [self.radio_mixer, self.radio_mixersum, self.radio_mixerdiff]) self.beta_adj = gtk.Adjustment(0.25, 0.0, 1.0, 0.05) self.beta_spin = gtk.SpinButton(self.beta_adj, 0, 2) self.nmaxold_adj = gtk.Adjustment(3, 1, 10, 1) self.nmaxold_spin = gtk.SpinButton(self.nmaxold_adj, 0, 0) self.weight_adj = gtk.Adjustment(50, 1, 500, 1) self.weight_spin = gtk.SpinButton(self.weight_adj, 0, 0) pack(vbox, [gtk.Label("beta = "), self.beta_spin, gtk.Label(" nmaxold = "), self.nmaxold_spin, gtk.Label(" weight = "), self.weight_spin]) self.beta_m_adj = gtk.Adjustment(0.70, 0.0, 1.0, 0.05) self.beta_m_spin = gtk.SpinButton(self.beta_m_adj, 0, 2) self.nmaxold_m_adj = gtk.Adjustment(2, 1, 10, 1) self.nmaxold_m_spin = gtk.SpinButton(self.nmaxold_m_adj, 0, 0) self.weight_m_adj = gtk.Adjustment(10, 1, 500, 1) self.weight_m_spin = gtk.SpinButton(self.weight_m_adj, 0, 0) pack(vbox, [gtk.Label("beta_m = "), self.beta_m_spin, gtk.Label(" nmaxold_m = "), self.nmaxold_m_spin, gtk.Label(" weight_m = "), self.weight_m_spin]) for but in (self.spinpol, self.use_mixer, self.radio_mixer, self.radio_mixersum, self.radio_mixerdiff): but.connect("clicked", self.mixer_changed) self.mixer_changed() # Eigensolver # Poisson-solver vbox.show() self.add(vbox) # Buttons at the bottom pack(vbox, gtk.Label("")) butbox = gtk.HButtonBox() cancel_but = gtk.Button(stock=gtk.STOCK_CANCEL) cancel_but.connect('clicked', lambda widget: self.destroy()) ok_but = gtk.Button(stock=gtk.STOCK_OK) ok_but.connect('clicked', self.ok) butbox.pack_start(cancel_but, 0, 0) butbox.pack_start(ok_but, 0, 0) butbox.show_all() pack(vbox, [butbox], end=True, bottom=True) # Set stored parameters if param: self.xc.set_active(param["xc#"]) if param["use_h"]: self.radio_h.set_active(True) else: self.radio_gpts.set_active(True) for i in range(3): self.gpts[i].value = param["gpts"][i] self.kpts[i].value = param["kpts"][i] self.spinpol.set_active(param["spinpol"]) self.mode.set_active(param["mode#"]) self.basis.set_active(param["basis#"]) self.use_mixer.set_active(param["use mixer"]) getattr(self, "radio_" + param["mixer"].lower()).set_active(True) for t in ("beta", "nmaxold", "weight", "beta_m", "nmaxold_m", "weight_m"): getattr(self, t+"_adj").value = param[t] self.show() self.grab_add() # Lock all other windows def radio_grid_toggled(self, widget): hmode = self.radio_h.get_active() self.h_spin.set_sensitive(hmode) for s in self.gpts_spin: s.set_sensitive(not hmode) self.gpts_changed() def gpts_changed(self, *args): if self.radio_gpts.get_active(): g = np.array([int(g.value) for g in self.gpts]) size = np.array([self.ucell[i,i] for i in range(3)]) txt = self.gpts_hlabel_format % tuple(size / g) self.gpts_hlabel.set_markup(txt) else: self.gpts_hlabel.set_markup("") def h_changed(self, *args): h = self.h.value for i in range(3): g = 4 * round(self.ucell[i,i] / (4*h)) self.gpts[i].value = g def k_changed(self, *args): size = [self.kpts[i].value * np.sqrt(np.vdot(self.ucell[i], self.ucell[i])) for i in range(3)] self.kpts_label.set_text(self.kpts_label_format % tuple(size)) def mode_changed(self, *args): self.basis.set_sensitive(self.mode.get_active() == 1) def mixer_changed(self, *args): radios = (self.radio_mixer, self.radio_mixersum, self.radio_mixerdiff) spin1 = (self.beta_spin, self.nmaxold_spin, self.weight_spin) spin2 = (self.beta_m_spin, self.nmaxold_m_spin, self.weight_m_spin) if self.use_mixer.get_active(): # Mixer parameters can be specified. if self.spinpol.get_active(): self.radio_mixer.set_sensitive(False) self.radio_mixersum.set_sensitive(True) self.radio_mixerdiff.set_sensitive(True) if self.radio_mixer.get_active(): self.radio_mixersum.set_active(True) else: self.radio_mixer.set_sensitive(True) self.radio_mixersum.set_sensitive(False) self.radio_mixerdiff.set_sensitive(False) self.radio_mixer.set_active(True) if self.radio_mixerdiff.get_active(): active = spin1 + spin2 passive = () else: active = spin1 passive = spin2 for widget in active: widget.set_sensitive(True) for widget in passive: widget.set_sensitive(False) else: # No mixer parameters for widget in radios + spin1 + spin2: widget.set_sensitive(False) def isorthogonal(self, matrix): ortho = True for i in range(3): for j in range(3): if i != j and matrix[i][j] != 0.0: ortho = False return ortho def ok(self, *args): param = {} param["xc"] = self.xc.get_active_text() param["xc#"] = self.xc.get_active() param["use_h"] = self.radio_h.get_active() param["h"] = self.h.value param["gpts"] = [int(g.value) for g in self.gpts] param["kpts"] = [int(k.value) for k in self.kpts] param["spinpol"] = self.spinpol.get_active() param["mode"] = self.mode.get_active_text().split()[0].lower() param["mode#"] = self.mode.get_active() param["basis"] = self.basis.get_active_text().split()[0].lower() param["basis#"] = self.basis.get_active() param["use mixer"] = self.use_mixer.get_active() if self.radio_mixer.get_active(): m = "Mixer" elif self.radio_mixersum.get_active(): m = "MixerSum" else: assert self.radio_mixerdiff.get_active() m = "MixerDiff" param["mixer"] = m for t in ("beta", "nmaxold", "weight", "beta_m", "nmaxold_m", "weight_m"): param[t] = getattr(self, t+"_adj").value setattr(self.owner, self.attrname, param) self.destroy() class AIMS_Window(gtk.Window): aims_xc_cluster = ['pw-lda','pz-lda','pbe','pbesol','rpbe','revpbe', 'blyp','am05','b3lyp','hse03','hse06','pbe0','pbesol0', 'hf','mp2'] aims_xc_periodic = ['pw-lda','pz-lda','pbe','pbesol','rpbe','revpbe', 'blyp','am05'] aims_xc_default = 'pbe' aims_relativity_list = ['none','atomic_zora','zora'] aims_keyword_gui_list = ['xc','vdw_correction_hirshfeld','k_grid','spin','charge','relativistic', 'sc_accuracy_etot','sc_accuracy_eev','sc_accuracy_rho','sc_accuracy_forces', 'compute_forces','run_command','species_dir','default_initial_moment'] def __init__(self, owner, param, attrname): self.owner = owner self.attrname = attrname atoms = owner.atoms self.periodic = atoms.get_pbc().all() if not self.periodic and atoms.get_pbc().any(): aims_periodic_warning = True self.periodic = True else: aims_periodic_warning = False from ase.calculators.aims import float_keys,exp_keys,string_keys,int_keys,bool_keys,list_keys,input_keys self.aims_keyword_list =float_keys+exp_keys+string_keys+int_keys+bool_keys+list_keys+input_keys self.expert_keywords = [] natoms = len(atoms) gtk.Window.__init__(self) self.set_title(_("FHI-aims parameters")) vbox = gtk.VBox() vbox.set_border_width(5) # Print some info txt = _("%i atoms.\n") % (natoms) if self.periodic: self.ucell = atoms.get_cell() txt += _("Periodic geometry, unit cell is:\n") for i in range(3): txt += "(%8.3f %8.3f %8.3f)\n" % (self.ucell[i][0], self.ucell[i][1], self.ucell[i][2]) self.xc_list = self.aims_xc_periodic else: txt += _("Non-periodic geometry.\n") self.xc_list = self.aims_xc_cluster pack(vbox, [gtk.Label(txt)]) # XC functional & dispersion correction self.xc = gtk.combo_box_new_text() self.xc_setup = False self.TS = gtk.CheckButton(_("Hirshfeld-based dispersion correction")) pack(vbox, [gtk.Label(_("Exchange-correlation functional: ")),self.xc]) pack(vbox, [self.TS]) pack(vbox, [gtk.Label("")]) # k-grid? if self.periodic: self.kpts = [] self.kpts_spin = [] for i in range(3): default = np.ceil(20.0 / np.sqrt(np.vdot(self.ucell[i],self.ucell[i]))) g = gtk.Adjustment(default, 1, 100, 1) s = gtk.SpinButton(g, 0, 0) self.kpts.append(g) self.kpts_spin.append(s) g.connect("value-changed", self.k_changed) pack(vbox, [gtk.Label(_("k-points k = (")), self.kpts_spin[0], gtk.Label(", "), self.kpts_spin[1], gtk.Label(", "), self.kpts_spin[2], gtk.Label(")")]) self.kpts_label = gtk.Label("") self.kpts_label_format = _("k-points x size: (%.1f, %.1f, %.1f) Ã…") pack(vbox, [self.kpts_label]) self.k_changed() pack(vbox, gtk.Label("")) # Spin polarized, charge, relativity self.spinpol = gtk.CheckButton(_("Spin / initial moment ")) self.spinpol.connect('toggled',self.spinpol_changed) self.moment = gtk.Adjustment(0,-100,100,0.1) self.moment_spin = gtk.SpinButton(self.moment, 0, 0) self.moment_spin.set_digits(2) self.moment_spin.set_sensitive(False) self.charge = gtk.Adjustment(0,-100,100,0.1) self.charge_spin = gtk.SpinButton(self.charge, 0, 0) self.charge_spin.set_digits(2) self.relativity_type = gtk.combo_box_new_text() for i, x in enumerate(self.aims_relativity_list): self.relativity_type.append_text(x) self.relativity_type.connect('changed',self.relativity_changed) self.relativity_threshold = gtk.Entry(max=8) self.relativity_threshold.set_text('1.00e-12') self.relativity_threshold.set_sensitive(False) pack(vbox, [self.spinpol, self.moment_spin, gtk.Label(_(" Charge")), self.charge_spin, gtk.Label(_(" Relativity")), self.relativity_type, gtk.Label(_(" Threshold")), self.relativity_threshold]) pack(vbox, gtk.Label("")) # self-consistency criteria pack(vbox,[gtk.Label(_("Self-consistency convergence:"))]) self.sc_tot_energy = gtk.Adjustment(1e-6, 1e-6, 1e0, 1e-6) self.sc_tot_energy_spin = gtk.SpinButton(self.sc_tot_energy, 0, 0) self.sc_tot_energy_spin.set_digits(6) self.sc_tot_energy_spin.set_numeric(True) self.sc_sum_eigenvalue = gtk.Adjustment(1e-3, 1e-6, 1e0, 1e-6) self.sc_sum_eigenvalue_spin = gtk.SpinButton(self.sc_sum_eigenvalue, 0, 0) self.sc_sum_eigenvalue_spin.set_digits(6) self.sc_sum_eigenvalue_spin.set_numeric(True) self.sc_density = gtk.Adjustment(1e-4, 1e-6, 1e0, 1e-6) self.sc_density_spin = gtk.SpinButton(self.sc_density, 0, 0) self.sc_density_spin.set_digits(6) self.sc_density_spin.set_numeric(True) self.compute_forces = gtk.CheckButton(_("Compute forces")) self.compute_forces.set_active(True) self.compute_forces.connect("toggled", self.compute_forces_toggled,"") self.sc_forces = gtk.Adjustment(1e-4, 1e-6, 1e0, 1e-6) self.sc_forces_spin = gtk.SpinButton(self.sc_forces, 0, 0) self.sc_forces_spin.set_numeric(True) self.sc_forces_spin.set_digits(6) # XXX: use gtk table for layout. Spaces will not work well otherwise # (depend on fonts, widget style, ...) # TRANSLATORS: Don't care too much about these, just get approximately # the same string lengths pack(vbox, [gtk.Label(_("Energy: ")), self.sc_tot_energy_spin, gtk.Label(_(" eV Sum of eigenvalues: ")), self.sc_sum_eigenvalue_spin, gtk.Label(_(" eV"))]) pack(vbox, [gtk.Label(_("Electron density: ")), self.sc_density_spin, gtk.Label(_(" Force convergence: ")), self.sc_forces_spin, gtk.Label(_(" eV/Ang "))]) pack(vbox, [self.compute_forces]) pack(vbox, gtk.Label("")) swin = gtk.ScrolledWindow() swin.set_border_width(0) swin.set_policy(gtk.POLICY_AUTOMATIC, gtk.POLICY_AUTOMATIC) self.expert_keyword_set = gtk.Entry(max = 55) self.expert_keyword_add = gtk.Button(stock = gtk.STOCK_ADD) self.expert_keyword_add.connect("clicked", self.expert_keyword_import) self.expert_keyword_set.connect("activate", self.expert_keyword_import) pack(vbox,[gtk.Label(_("Additional keywords: ")), self.expert_keyword_set, self.expert_keyword_add]) self.expert_vbox = gtk.VBox() vbox.pack_start(swin, True, True, 0) swin.add_with_viewport(self.expert_vbox) self.expert_vbox.get_parent().set_shadow_type(gtk.SHADOW_NONE) self.expert_vbox.get_parent().set_size_request(-1, 100) swin.show() self.expert_vbox.show() pack(vbox, gtk.Label("")) # run command and species defaults: pack(vbox, gtk.Label(_('FHI-aims execution command: '))) self.run_command = pack(vbox, gtk.Entry(max=0)) pack(vbox, gtk.Label(_('Directory for species defaults: '))) self.species_defaults = pack(vbox, gtk.Entry(max=0)) # set defaults from previous instance of the calculator, if applicable: if param is not None: self.set_param(param) else: self.set_defaults() # Buttons at the bottom pack(vbox, gtk.Label("")) butbox = gtk.HButtonBox() default_but = gtk.Button(_("Set Defaults")) default_but.connect("clicked",self.set_defaults) import_control_but = gtk.Button(_("Import control.in")) import_control_but.connect("clicked",self.import_control) export_control_but = gtk.Button(_("Export control.in")) export_control_but.connect("clicked", self.export_control) cancel_but = gtk.Button(stock=gtk.STOCK_CANCEL) cancel_but.connect('clicked', lambda widget: self.destroy()) ok_but = gtk.Button(stock=gtk.STOCK_OK) ok_but.connect('clicked', self.ok) butbox.pack_start(default_but, 0, 0) butbox.pack_start(import_control_but, 0, 0) butbox.pack_start(export_control_but, 0, 0) butbox.pack_start(cancel_but, 0, 0) butbox.pack_start(ok_but, 0, 0) butbox.show_all() pack(vbox, [butbox], end=True, bottom=True) self.expert_vbox.show() vbox.show() self.add(vbox) self.show() self.grab_add() if aims_periodic_warning: oops(aims_pbc_warning_text) def set_defaults(self, *args): atoms = self.owner.atoms.copy() if not self.xc_setup: self.xc_setup = True for i, x in enumerate(self.xc_list): self.xc.append_text(x) for i, x in enumerate(self.xc_list): if x == self.aims_xc_default: self.xc.set_active(i) self.TS.set_active(False) if self.periodic: self.ucell = atoms.get_cell() for i in range(3): default = np.ceil(20.0 / np.sqrt(np.vdot(self.ucell[i],self.ucell[i]))) self.kpts_spin[i].set_value(default) self.spinpol.set_active(False) self.moment.set_value(0) self.moment_spin.set_sensitive(False) self.charge.set_value(0) aims_relativity_default = 'none' for a in atoms: if a.number > 20: aims_relativity_default = 'atomic_zora' for i, x in enumerate(self.aims_relativity_list): if x == aims_relativity_default: self.relativity_type.set_active(i) self.sc_tot_energy.set_value(1e-6) self.sc_sum_eigenvalue.set_value(1e-3) self.sc_density.set_value(1e-4) self.sc_forces.set_value(1e-4) for key in self.expert_keywords: key[0].destroy() key[1].destroy() key[2].destroy() key[3] = False for child in self.expert_vbox.children(): self.expert_vbox.remove(child) if os.environ.has_key('AIMS_COMMAND'): text = os.environ['AIMS_COMMAND'] else: text = "" self.run_command.set_text(text) if os.environ.has_key('AIMS_SPECIES_DIR'): text = os.environ['AIMS_SPECIES_DIR'] else: text = "" self.species_defaults.set_text(text) def set_attributes(self, *args): param = {} param["xc"] = self.xc.get_active_text() if self.periodic: param["k_grid"] = (int(self.kpts[0].value), int(self.kpts[1].value), int(self.kpts[2].value)) if self.spinpol.get_active(): param["spin"] = "collinear" param["default_initial_moment"] = self.moment.get_value() else: param["spin"] = "none" param["default_initial_moment"] = None param["vdw_correction_hirshfeld"] = self.TS.get_active() param["charge"] = self.charge.value param["relativistic"] = self.relativity_type.get_active_text() if param["relativistic"] == 'atomic_zora': param["relativistic"] += " scalar " if param["relativistic"] == 'zora': param["relativistic"] += " scalar "+self.relativity_threshold.get_text() param["sc_accuracy_etot"] = self.sc_tot_energy.value param["sc_accuracy_eev"] = self.sc_sum_eigenvalue.value param["sc_accuracy_rho"] = self.sc_density.value param["compute_forces"] = self.compute_forces.get_active() param["sc_accuracy_forces"] = self.sc_forces.value param["run_command"] = self.run_command.get_text() param["species_dir"] = self.species_defaults.get_text() from ase.calculators.aims import float_keys,exp_keys,string_keys,int_keys,bool_keys,list_keys,input_keys for option in self.expert_keywords: if option[3]: # set type of parameter according to which list it is in key = option[0].get_text().strip() val = option[1].get_text().strip() if key == 'output': if param.has_key('output'): param[key] += [val] else: param[key] = [val] elif key in float_keys or key in exp_keys: param[key] = float(val) elif key in list_keys or key in string_keys or key in input_keys: param[key] = val elif key in int_keys: param[key] = int(val) elif key in bool_keys: param[key] = bool(val) setattr(self.owner, self.attrname, param) def set_param(self, param): if param["xc"] is not None: for i, x in enumerate(self.xc_list): if x == param["xc"]: self.xc.set_active(i) if isinstance(param["vdw_correction_hirshfeld"],bool): self.TS.set_active(param["vdw_correction_hirshfeld"]) if self.periodic and param["k_grid"] is not None: self.kpts[0].value = int(param["k_grid"][0]) self.kpts[1].value = int(param["k_grid"][1]) self.kpts[2].value = int(param["k_grid"][2]) if param["spin"] is not None: self.spinpol.set_active(param["spin"] == "collinear") self.moment_spin.set_sensitive(param["spin"] == "collinear") if param["default_initial_moment"] is not None: self.moment.value = param["default_initial_moment"] if param["charge"] is not None: self.charge.value = param["charge"] if param["relativistic"] is not None: if isinstance(param["relativistic"],(tuple,list)): rel = param["relativistic"] else: rel = param["relativistic"].split() for i, x in enumerate(self.aims_relativity_list): if x == rel[0]: self.relativity_type.set_active(i) if x == 'zora': self.relativity_threshold.set_text(rel[2]) self.relativity_threshold.set_sensitive(True) if param["sc_accuracy_etot"] is not None: self.sc_tot_energy.value = param["sc_accuracy_etot"] if param["sc_accuracy_eev"] is not None: self.sc_sum_eigenvalue.value = param["sc_accuracy_eev"] if param["sc_accuracy_rho"] is not None: self.sc_density.value = param["sc_accuracy_rho"] if param["compute_forces"] is not None: if param["compute_forces"]: if param["sc_accuracy_forces"] is not None: self.sc_forces.value = param["sc_accuracy_forces"] self.compute_forces.set_active(param["compute_forces"]) else: self.compute_forces.set_active(False) if param["run_command"] is not None: self.run_command.set_text(param["run_command"]) if param["species_dir"] is not None: self.species_defaults.set_text(param["species_dir"]) for (key,val) in param.items(): if key in self.aims_keyword_list and key not in self.aims_keyword_gui_list: if val is not None: # = existing "expert keyword" if key == 'output': # 'output' can be used more than once options = val if isinstance(options,str): options = [options] for arg in options: self.expert_keyword_create([key]+[arg]) else: if isinstance(val,str): arg = [key]+val.split() elif isinstance(val,(tuple,list)): arg = [key]+[str(a) for a in val] else: arg = [key]+[str(val)] self.expert_keyword_create(arg) def ok(self, *args): self.set_attributes(*args) self.destroy() def export_control(self, *args): filename = "control.in" chooser = gtk.FileChooserDialog( _('Export parameters ... '), None, gtk.FILE_CHOOSER_ACTION_SAVE, (gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_SAVE, gtk.RESPONSE_OK)) chooser.set_filename(filename) save = chooser.run() if save == gtk.RESPONSE_OK or save == gtk.RESPONSE_SAVE: filename = chooser.get_filename() self.set_attributes(*args) param = getattr(self.owner, "aims_parameters") from ase.calculators.aims import Aims calc_temp = Aims(**param) atoms_temp = self.owner.atoms.copy() atoms_temp.set_calculator(calc_temp) atoms_temp.calc.write_control(file = filename) atoms_temp.calc.write_species(file = filename) chooser.destroy() def import_control(self, *args): filename = "control.in" chooser = gtk.FileChooserDialog( _('Import control.in file ... '), None, gtk.FILE_CHOOSER_ACTION_SAVE, (gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_SAVE, gtk.RESPONSE_OK)) chooser.set_filename(filename) save = chooser.run() if save == gtk.RESPONSE_OK: self.set_defaults() filename = chooser.get_filename() control = open(filename,'r') while True: line = control.readline() if not line: break if "List of parameters used to initialize the calculator:" in line: control.readline() from ase.io.aims import read_aims_calculator calc = read_aims_calculator(control) found_aims_calculator = True control.close() if found_aims_calculator: param = calc.float_params for key in calc.exp_params: param[key] = calc.exp_params[key] for key in calc.string_params: param[key] = calc.string_params[key] for key in calc.int_params: param[key] = calc.int_params[key] for key in calc.bool_params: param[key] = calc.bool_params[key] for key in calc.list_params: param[key] = calc.list_params[key] for key in calc.input_parameters: param[key] = calc.input_parameters[key] self.set_defaults() self.set_param(param) chooser.destroy() def k_changed(self, *args): size = [self.kpts[i].value * np.sqrt(np.vdot(self.ucell[i],self.ucell[i])) for i in range(3)] self.kpts_label.set_text(self.kpts_label_format % tuple(size)) def compute_forces_toggled(self, *args): self.sc_forces_spin.set_sensitive(self.compute_forces.get_active()) def relativity_changed(self, *args): self.relativity_threshold.set_sensitive(self.relativity_type.get_active() == 2) def spinpol_changed(self, *args): self.moment_spin.set_sensitive(self.spinpol.get_active()) def expert_keyword_import(self, *args): command = self.expert_keyword_set.get_text().split() if len(command) > 0 and command[0] in self.aims_keyword_list and not command[0] in self.aims_keyword_gui_list: self.expert_keyword_create(command) elif command[0] in self.aims_keyword_gui_list: oops(_("Please use the facilities provided in this window to " "manipulate the keyword: %s!") % command[0]) else: oops(_("Don't know this keyword: %s\n" "\nPlease check!\n\n" "If you really think it should be available, " "please add it to the top of ase/calculators/aims.py.") % command[0]) self.expert_keyword_set.set_text("") def expert_keyword_create(self, command): key = command[0] argument = command[1] if len(command) > 2: for a in command[2:]: argument += ' '+a index = len(self.expert_keywords) self.expert_keywords += [[gtk.Label(" " +key+" "), gtk.Entry(max=45), ExpertDeleteButton(index), True]] self.expert_keywords[index][1].set_text(argument) self.expert_keywords[index][2].connect('clicked',self.expert_keyword_delete) if not self.expert_vbox.get_children(): table = gtk.Table(1, 3) table.attach(self.expert_keywords[index][0], 0, 1, 0, 1, 0) table.attach(self.expert_keywords[index][1], 1, 2, 0, 1, 0) table.attach(self.expert_keywords[index][2], 2, 3, 0, 1, 0) table.show_all() pack(self.expert_vbox, table) else: table = self.expert_vbox.get_children()[0] nrows = table.get_property('n-rows') table.resize(nrows + 1, 3) table.attach(self.expert_keywords[index][0], 0, 1, nrows, nrows + 1, 0) table.attach(self.expert_keywords[index][1], 1, 2, nrows, nrows + 1, 0) table.attach(self.expert_keywords[index][2], 2, 3, nrows, nrows + 1, 0) table.show_all() def expert_keyword_delete(self, button, *args): index = button.index # which one to kill for i in [0,1,2]: self.expert_keywords[index][i].destroy() table = self.expert_vbox.get_children()[0] nrows = table.get_property('n-rows') table.resize(nrows-1, 3) self.expert_keywords[index][3] = False class ExpertDeleteButton(gtk.Button): def __init__(self, index): gtk.Button.__init__(self, stock=gtk.STOCK_DELETE) alignment = self.get_children()[0] hbox = alignment.get_children()[0] #self.set_size_request(1, 3) image, label = hbox.get_children() if image is not None: label.set_text('Del') self.index = index class VASP_Window(gtk.Window): vasp_xc_list = ['PW91', 'PBE', 'LDA'] vasp_xc_default = 'PBE' vasp_prec_default = 'Normal' def __init__(self, owner, param, attrname): self.owner = owner self.attrname = attrname atoms = owner.atoms self.periodic = atoms.get_pbc().all() self.vasp_keyword_gui_list = ['ediff','encut', 'ismear', 'ispin', 'prec', 'sigma'] from ase.calculators.vasp import float_keys,exp_keys,string_keys,int_keys,bool_keys,list_keys,special_keys self.vasp_keyword_list = float_keys+exp_keys+string_keys+int_keys+bool_keys+list_keys+special_keys self.expert_keywords = [] natoms = len(atoms) gtk.Window.__init__(self) self.set_title(_("VASP parameters")) vbox = gtk.VBox() vbox.set_border_width(5) # Print some info txt = _("%i atoms.\n") % natoms self.ucell = atoms.get_cell() txt += _("Periodic geometry, unit cell is: \n") for i in range(3): txt += "(%8.3f %8.3f %8.3f)\n" % (self.ucell[i][0], self.ucell[i][1], self.ucell[i][2]) pack(vbox, [gtk.Label(txt)]) # XC functional () self.xc = gtk.combo_box_new_text() for i, x in enumerate(self.vasp_xc_list): self.xc.append_text(x) # Spin polarized self.spinpol = gtk.CheckButton(_("Spin polarized")) pack(vbox, [gtk.Label(_("Exchange-correlation functional: ")), self.xc, gtk.Label(" "), self.spinpol]) pack(vbox, gtk.Label("")) # k-grid self.kpts = [] self.kpts_spin = [] for i in range(3): default = np.ceil(20.0 / np.sqrt(np.vdot(self.ucell[i],self.ucell[i]))) g = gtk.Adjustment(default, 1, 100, 1) s = gtk.SpinButton(g, 0, 0) self.kpts.append(g) self.kpts_spin.append(s) g.connect("value-changed", self.k_changed) # Precision of calculation self.prec = gtk.combo_box_new_text() for i, x in enumerate(['Low', 'Normal', 'Accurate']): self.prec.append_text(x) if x == self.vasp_prec_default: self.prec.set_active(i) # cutoff energy if os.environ.has_key('VASP_PP_PATH'): self.encut_min_default, self.encut_max_default = self.get_min_max_cutoff() else: self.encut_max_default = 400.0 self.encut_min_default = 100.0 self.encut = gtk.Adjustment(self.encut_max_default, 0, 9999, 10) self.encut_spin = gtk.SpinButton(self.encut, 0, 0) self.encut_spin.set_digits(2) self.encut_spin.connect("value-changed",self.check_encut_warning) self.encut_warning = gtk.Label("") pack(vbox, [gtk.Label(_("k-points k = (")), self.kpts_spin[0], gtk.Label(", "), self.kpts_spin[1], gtk.Label(", "), self.kpts_spin[2], gtk.Label(_(") Cutoff: ")),self.encut_spin, gtk.Label(_(" Precision: ")),self.prec]) self.kpts_label = gtk.Label("") self.kpts_label_format = _("k-points x size: (%.1f, %.1f, %.1f) Ã… ") pack(vbox, [self.kpts_label, self.encut_warning]) self.k_changed() pack(vbox, gtk.Label("")) self.ismear = gtk.combo_box_new_text() for x in ['Fermi', 'Gauss', 'Methfessel-Paxton']: self.ismear.append_text(x) self.ismear.set_active(2) self.smearing_order = gtk.Adjustment(2,0,9,1) self.smearing_order_spin = gtk.SpinButton(self.smearing_order,0,0) self.smearing_order_spin.set_digits(0) self.ismear.connect("changed", self.check_ismear_changed) self.sigma = gtk.Adjustment(0.1, 0.001, 9.0, 0.1) self.sigma_spin = gtk.SpinButton(self.sigma,0,0) self.sigma_spin.set_digits(3) pack(vbox, [gtk.Label(_("Smearing: ")), self.ismear, gtk.Label(_(" order: ")), self.smearing_order_spin, gtk.Label(_(" width: ")), self.sigma_spin]) pack(vbox, gtk.Label("")) self.ediff = gtk.Adjustment(1e-4, 1e-6, 1e0, 1e-4) self.ediff_spin = gtk.SpinButton(self.ediff, 0, 0) self.ediff_spin.set_digits(6) pack(vbox,[gtk.Label(_("Self-consistency convergence: ")), self.ediff_spin, gtk.Label(_(" eV"))]) pack(vbox,gtk.Label("")) swin = gtk.ScrolledWindow() swin.set_border_width(0) swin.set_policy(gtk.POLICY_AUTOMATIC, gtk.POLICY_AUTOMATIC) self.expert_keyword_set = gtk.Entry(max = 55) self.expert_keyword_add = gtk.Button(stock = gtk.STOCK_ADD) self.expert_keyword_add.connect("clicked", self.expert_keyword_import) self.expert_keyword_set.connect("activate", self.expert_keyword_import) pack(vbox,[gtk.Label(_("Additional keywords: ")), self.expert_keyword_set, self.expert_keyword_add]) self.expert_vbox = gtk.VBox() vbox.pack_start(swin, True, True, 0) swin.add_with_viewport(self.expert_vbox) self.expert_vbox.get_parent().set_shadow_type(gtk.SHADOW_NONE) self.expert_vbox.get_parent().set_size_request(-1, 100) swin.show() self.expert_vbox.show() pack(vbox, gtk.Label("")) # run command and location of POTCAR files: pack(vbox, gtk.Label(_('VASP execution command: '))) self.run_command = pack(vbox, gtk.Entry(max=0)) if os.environ.has_key('VASP_COMMAND'): self.run_command.set_text(os.environ['VASP_COMMAND']) pack(vbox, gtk.Label(_('Directory for species defaults: '))) self.pp_path = pack(vbox, gtk.Entry(max=0)) if os.environ.has_key('VASP_PP_PATH'): self.pp_path.set_text(os.environ['VASP_PP_PATH']) # Buttons at the bottom pack(vbox, gtk.Label("")) butbox = gtk.HButtonBox() set_default_but = gtk.Button(_("Set Defaults")) set_default_but.connect("clicked", self.set_defaults) import_vasp_but = gtk.Button(_("Import VASP files")) import_vasp_but.connect("clicked", self.import_vasp_files) export_vasp_but = gtk.Button(_("Export VASP files")) export_vasp_but.connect("clicked", self.export_vasp_files) cancel_but = gtk.Button(stock=gtk.STOCK_CANCEL) cancel_but.connect('clicked', lambda widget: self.destroy()) ok_but = gtk.Button(stock=gtk.STOCK_OK) ok_but.connect('clicked', self.ok) butbox.pack_start(set_default_but, 0, 0) butbox.pack_start(import_vasp_but, 0, 0) butbox.pack_start(export_vasp_but, 0, 0) butbox.pack_start(cancel_but, 0, 0) butbox.pack_start(ok_but, 0, 0) butbox.show_all() pack(vbox, [butbox], end=True, bottom=True) vbox.show() self.add(vbox) self.show() self.grab_add() # Lock all other windows self.load_attributes() def load_attributes(self, directory = "."): """Sets values of fields of the window according to the values set inside the INCAR, KPOINTS and POTCAR file in 'directory'.""" from os import chdir chdir(directory) # Try and load INCAR, in the current directory from ase.calculators.vasp import Vasp calc_temp = Vasp() try: calc_temp.read_incar("INCAR") except IOError: pass else: if calc_temp.spinpol: self.spinpol.set_active(True) else: self.spinpol.set_active(False) if calc_temp.float_params['encut']: self.encut.set_value(calc_temp.float_params['encut']) if calc_temp.int_params['ismear'] == -1: # Fermi vasp_ismear_default = 'Fermi' elif calc_temp.int_params['ismear'] == 0: # Gauss vasp_ismear_default = 'Gauss' elif calc_temp.int_params['ismear'] > 0: # Methfessel-Paxton vasp_ismear_default = 'Methfessel-Paxton' else: vasp_ismear_default = None for i, x in enumerate(['Fermi', 'Gauss', 'Methfessel-Paxton']): if vasp_ismear_default == x: self.ismear.set_active(i) if calc_temp.exp_params['ediff']: self.ediff.set_value(calc_temp.exp_params['ediff']) for i, x in enumerate(['Low', 'Normal', 'Accurate']): if x == calc_temp.string_params['prec']: self.prec.set_active(i) if calc_temp.float_params['sigma']: self.sigma.set_value(calc_temp.float_params['sigma']) import copy all_params = copy.deepcopy(calc_temp.float_params) all_params.update(calc_temp.exp_params) all_params.update(calc_temp.string_params) all_params.update(calc_temp.int_params) all_params.update(calc_temp.bool_params) all_params.update(calc_temp.special_params) for (key, value) in all_params.items(): if key in self.vasp_keyword_list \ and key not in self.vasp_keyword_gui_list \ and value is not None: command = key + " " + str(value) self.expert_keyword_create(command.split()) for (key, value) in calc_temp.list_params.items(): if key == "magmom" and value is not None: command = key + " " rep = 1 previous = value[0] for v in value[1:]: if v == previous: rep += 1 else: if rep > 1: command += "%d*%f " % (rep, previous) else: command += "%f " % previous rep = 1 previous = v if rep > 1: command += "%d*%f " % (rep, previous) else: command += "%f" % previous self.expert_keyword_create(command.split()) elif value is not None: command = key + " " for v in value: command += str(v) + " " self.expert_keyword_create(command.split()) # Try and load POTCAR, in the current directory try: calc_temp.read_potcar() except IOError: pass else: #Set xc read from POTCAR for i, x in enumerate(self.vasp_xc_list): if x == calc_temp.input_params['xc']: self.xc.set_active(i) # Try and load KPOINTS, in the current directory try: calc_temp.read_kpoints("KPOINTS") except IOError: pass else: # Set KPOINTS grid dimensions for i in range(3): self.kpts_spin[i].set_value(calc_temp.input_params['kpts'][i]) def set_attributes(self, *args): self.param = {} self.param["xc"] = self.xc.get_active_text() self.param["prec"] = self.prec.get_active_text() self.param["kpts"] = (int(self.kpts[0].value), int(self.kpts[1].value), int(self.kpts[2].value)) self.param["encut"] = self.encut.value self.param["ediff"] = self.ediff.value self.param["ismear"] = self.get_ismear() self.param["sigma"] = self.sigma.value if self.spinpol.get_active(): self.param["ispin"] = 2 else: self.param["ispin"] = 1 from ase.calculators.vasp import float_keys,exp_keys,string_keys,int_keys,bool_keys,list_keys,special_keys for option in self.expert_keywords: if option[3]: # set type of parameter accoding to which list it is in key = option[0].get_text().split()[0].strip() val = option[1].get_text().strip() if key in float_keys or key in exp_keys: self.param[key] = float(val) elif key == "magmom": val = val.replace("*", " * ") c = val.split() val = [] i = 0 while i < len(c): if c[i] == "*": b = val.pop() i += 1 for j in range(int(b)): val.append(float(c[i])) else: val.append(float(c[i])) i += 1 self.param[key] = val elif key in list_keys: c = val.split() val = [] for i in c: val.append(float(i)) self.param[key] = val elif key in string_keys: self.param[key] = val elif key in int_keys: self.param[key] = int(val) elif key in bool_keys: self.param[key] = bool(val) setattr(self.owner, self.attrname, self.param) os.environ['VASP_COMMAND'] = self.run_command.get_text() os.environ['VASP_PP_PATH'] = self.pp_path.get_text() def ok(self, *args): self.set_attributes(*args) self.destroy() def get_min_max_cutoff(self, *args): # determine the recommended energy cutoff limits from ase.calculators.vasp import Vasp calc_temp = Vasp() atoms_temp = self.owner.atoms.copy() calc_temp.initialize(atoms_temp) calc_temp.write_potcar(suffix = '.check_energy_cutoff') enmin = -1e6 enmax = -1e6 for line in open("POTCAR.check_energy_cutoff",'r').readlines(): if "ENMIN" in line: enmax = max(enmax,float(line.split()[2].split(';')[0])) enmin = max(enmin,float(line.split()[5])) from os import system system("rm POTCAR.check_energy_cutoff") return enmin, enmax def k_changed(self, *args): size = [self.kpts[i].value * np.sqrt(np.vdot(self.ucell[i],self.ucell[i])) for i in range(3)] self.kpts_label.set_text(self.kpts_label_format % tuple(size)) def check_encut_warning(self,*args): if self.encut.value < self.encut_min_default: self.encut_warning.set_markup(_("WARNING: cutoff energy is lower than recommended minimum!")) else: self.encut_warning.set_markup("") def check_ismear_changed(self,*args): if self.ismear.get_active_text() == 'Methfessel-Paxton': self.smearing_order_spin.set_sensitive(True) else: self.smearing_order_spin.set_sensitive(False) def get_ismear(self,*args): type = self.ismear.get_active_text() if type == 'Methfessel-Paxton': ismear_value = self.smearing_order.value elif type == 'Fermi': ismear_value = -1 else: ismear_value = 0 return ismear_value def destroy(self): self.grab_remove() gtk.Window.destroy(self) def set_defaults(self, *args): # Reset fields to what they were self.spinpol.set_active(False) for i, x in enumerate(['Low', 'Normal', 'Accurate']): if x == self.vasp_prec_default: self.prec.set_active(i) self.encut_spin.set_value(self.encut_max_default) self.ismear.set_active(2) self.smearing_order.set_value(2) self.ediff.set_value(1e-4) for child in self.expert_vbox.children(): self.expert_vbox.remove(child) for i, x in enumerate(self.vasp_xc_list): if x == self.vasp_xc_default: self.xc.set_active(i) default = np.ceil(20.0 / np.sqrt(np.vdot(self.ucell[i],self.ucell[i]))) for i in range(3): self.kpts_spin[i].set_value(default) def import_vasp_files(self, *args): dirname = "" chooser = gtk.FileChooserDialog( _('Import VASP input files: choose directory ... '), None, gtk.FILE_CHOOSER_ACTION_SELECT_FOLDER, (gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_OPEN, gtk.RESPONSE_OK)) chooser.set_filename(dirname) openr = chooser.run() if openr == gtk.RESPONSE_OK or openr == gtk.RESPONSE_SAVE: dirname = chooser.get_filename() self.load_attributes(dirname) chooser.destroy() def export_vasp_files(self, *args): filename = "" chooser = gtk.FileChooserDialog( _('Export VASP input files: choose directory ... '), None, gtk.FILE_CHOOSER_ACTION_SELECT_FOLDER, (gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_SAVE, gtk.RESPONSE_OK)) chooser.set_filename(filename) save = chooser.run() if save == gtk.RESPONSE_OK or save == gtk.RESPONSE_SAVE: filename = chooser.get_filename() from os import chdir chdir(filename) self.set_attributes(*args) param = getattr(self.owner, "vasp_parameters") from ase.calculators.vasp import Vasp calc_temp = Vasp(**param) atoms_temp = self.owner.atoms.copy() atoms_temp.set_calculator(calc_temp) calc_temp.initialize(atoms_temp) calc_temp.write_incar(atoms_temp) calc_temp.write_potcar() calc_temp.write_kpoints() calc_temp.write_sort_file() from ase.io.vasp import write_vasp write_vasp('POSCAR', calc_temp.atoms_sorted, symbol_count = calc_temp.symbol_count) chooser.destroy() def expert_keyword_import(self, *args): command = self.expert_keyword_set.get_text().split() if len(command) > 0 and command[0] in self.vasp_keyword_list and not command[0] in self.vasp_keyword_gui_list: self.expert_keyword_create(command) elif command[0] in self.vasp_keyword_gui_list: oops(_("Please use the facilities provided in this window to " "manipulate the keyword: %s!") % command[0]) else: oops(_("Don't know this keyword: %s" "\nPlease check!\n\n" "If you really think it should be available, " "please add it to the top of ase/calculators/vasp.py.") % command[0]) self.expert_keyword_set.set_text("") def expert_keyword_create(self, command): key = command[0] if command[1] == "=": command.remove("=") argument = command[1] if len(command) > 2: for a in command[2:]: argument += ' '+a index = len(self.expert_keywords) self.expert_keywords += [[gtk.Label(" " +key+" = "), gtk.Entry(max=55), ExpertDeleteButton(index), True]] self.expert_keywords[index][1].set_text(argument) self.expert_keywords[index][2].connect('clicked',self.expert_keyword_delete) if not self.expert_vbox.get_children(): table = gtk.Table(1, 3) table.attach(self.expert_keywords[index][0], 0, 1, 0, 1, 0) table.attach(self.expert_keywords[index][1], 1, 2, 0, 1, 0) table.attach(self.expert_keywords[index][2], 2, 3, 0, 1, 0) table.show_all() pack(self.expert_vbox, table) else: table = self.expert_vbox.get_children()[0] nrows = table.get_property('n-rows') table.resize(nrows + 1, 3) table.attach(self.expert_keywords[index][0], 0, 1, nrows, nrows + 1, 0) table.attach(self.expert_keywords[index][1], 1, 2, nrows, nrows + 1, 0) table.attach(self.expert_keywords[index][2], 2, 3, nrows, nrows + 1, 0) table.show_all() def expert_keyword_delete(self, button, *args): index = button.index # which one to kill for i in [0,1,2]: self.expert_keywords[index][i].destroy() table = self.expert_vbox.get_children()[0] nrows = table.get_property('n-rows') table.resize(nrows-1, 3) self.expert_keywords[index][3] = False python-ase-3.6.0.2515/ase/gui/gui.py0000644000175400017540000014162611711330540015677 0ustar askhlaskhl# husk: # Exit*2? remove pylab.show() # close button # DFT # ADOS # grey-out stuff after one second: vmd, rasmol, ... # Show with .... # rasmol: set same rotation as ag # Graphs: save, Python, 3D # start from python (interactive mode?) # ascii-art option (colored)| # option -o (output) and -f (force overwrite) # surfacebuilder # screen-dump # icon # ag-community-server # translate option: record all translations, # and check for missing translations. #TODO: Add possible way of choosing orinetations. \ #TODO: Two atoms defines a direction, three atoms their normal does #TODO: Align orientations chosen in Rot_selected v unselcted #TODO: Get the atoms_rotate_0 thing string #TODO: Use set atoms instead og the get atoms #TODO: Arrow keys will decide how the orientation changes #TODO: Undo redo que should be implemented #TODO: Update should have possibility to change positions #TODO: Window for rotation modes and move moves which can be chosen #TODO: WHen rotate and move / hide the movie menu import os import sys import weakref from gettext import gettext as _ from gettext import ngettext import numpy as np import pygtk pygtk.require("2.0") import gtk from ase.gui.view import View from ase.gui.status import Status from ase.gui.widgets import pack, help, Help, oops #from ase.gui.languages import translate as _ from ase.gui.settings import Settings from ase.gui.crystal import SetupBulkCrystal from ase.gui.surfaceslab import SetupSurfaceSlab from ase.gui.nanoparticle import SetupNanoparticle from ase.gui.nanotube import SetupNanotube from ase.gui.graphene import SetupGraphene from ase.gui.calculator import SetCalculator from ase.gui.energyforces import EnergyForces from ase.gui.minimize import Minimize from ase.gui.scaling import HomogeneousDeformation from ase.gui.quickinfo import QuickInfo from ase.gui.defaults import read_defaults ui_info = """\ """ class GUI(View, Status): def __init__(self, images, rotations='', show_unit_cell=True, show_bonds=False): # Try to change into directory of file you are viewing try: os.chdir(os.path.split(sys.argv[1])[0]) # This will fail sometimes (e.g. for starting a new session) except: pass self.images = images self.window = gtk.Window(gtk.WINDOW_TOPLEVEL) #self.window.set_icon(gtk.gdk.pixbuf_new_from_file('guiase.png')) self.window.set_position(gtk.WIN_POS_CENTER) #self.window.connect("destroy", lambda w: gtk.main_quit()) self.window.connect('delete_event', self.exit) vbox = gtk.VBox() self.window.add(vbox) if gtk.pygtk_version < (2, 12): self.set_tip = gtk.Tooltips().set_tip actions = gtk.ActionGroup("Actions") actions.add_actions([ ('FileMenu', None, _('_File')), ('EditMenu', None, _('_Edit')), ('ViewMenu', None, _('_View')), ('ToolsMenu', None, _('_Tools')), # TRANSLATORS: Set up (i.e. build) surfaces, nanoparticles, ... ('SetupMenu', None, _('_Setup')), ('CalculateMenu', None, _('_Calculate')), ('HelpMenu', None, _('_Help')), ('Open', gtk.STOCK_OPEN, _('_Open'), 'O', _('Create a new file'), self.open), ('New', gtk.STOCK_NEW, _('_New'), 'N', _('New ase.gui window'), lambda widget: os.system('ag &')), ('Save', gtk.STOCK_SAVE, _('_Save'), 'S', _('Save current file'), self.save), ('Quit', gtk.STOCK_QUIT, _('_Quit'), 'Q', _('Quit'), self.exit), ('SelectAll', None, _('Select _all'), None, '', self.select_all), ('Invert', None, _('_Invert selection'), None, '', self.invert_selection), ('SelectConstrained', None, _('Select _constrained atoms'), None, '', self.select_constrained_atoms), ('SelectImmobile', None, _('Select _immobile atoms'), 'I', '', self.select_immobile_atoms), ('Copy', None, _('_Copy'), 'C', _('Copy current selection and its orientation to clipboard'), self.copy_atoms), ('Paste', None, _('_Paste'), 'V', _('Insert current clipboard selection'), self.paste_atoms), ('Modify', None, _('_Modify'), 'Y', _('Change tags, moments and atom types of the selected atoms'), self.modify_atoms), ('AddAtoms', None, _('_Add atoms'), 'A', _('Insert or import atoms and molecules'), self.add_atoms), ('DeleteAtoms', None, _('_Delete selected atoms'), 'BackSpace', _('Delete the selected atoms'), self.delete_selected_atoms), ('First', gtk.STOCK_GOTO_FIRST, _('_First image'), 'Home', '', self.step), ('Previous', gtk.STOCK_GO_BACK, _('_Previous image'), 'Page_Up', '', self.step), ('Next', gtk.STOCK_GO_FORWARD, _('_Next image'), 'Page_Down', '', self.step), ('Last', gtk.STOCK_GOTO_LAST, _('_Last image'), 'End', '', self.step), ('QuickInfo', None, _('Quick Info ...'), None, '', self.quick_info_window), ('Repeat', None, _('Repeat ...'), None, '', self.repeat_window), ('Rotate', None, _('Rotate ...'), None, '', self.rotate_window), ('Colors', None, _('Colors ...'), None, '', self.colors_window), # TRANSLATORS: verb ('Focus', gtk.STOCK_ZOOM_FIT, _('Focus'), 'F', '', self.focus), ('ZoomIn', gtk.STOCK_ZOOM_IN, _('Zoom in'), 'plus', '', self.zoom), ('ZoomOut', gtk.STOCK_ZOOM_OUT, _('Zoom out'), 'minus', '', self.zoom), ('ResetView', None, _('Reset View'), 'equal', '', self.reset_view), ('Settings', gtk.STOCK_PREFERENCES, _('Settings ...'), None, '', self.settings), ('VMD', None, _('VMD'), None, '', self.external_viewer), ('RasMol', None, _('RasMol'), None, '', self.external_viewer), ('XMakeMol', None, _('xmakemol'), None, '', self.external_viewer), ('Avogadro', None, _('avogadro'), None, '', self.external_viewer), ('Graphs', None, _('Graphs ...'), None, '', self.plot_graphs), ('Movie', None, _('Movie ...'), None, '', self.movie), ('EModify', None, _('Expert mode ...'), 'E', '', self.execute), ('Constraints', None, _('Constraints ...'), None, '', self.constraints_window), ('RenderScene', None, _('Render scene ...'), None, '', self.render_window), ('DFT', None, _('DFT ...'), None, '', self.dft_window), ('NEB', None, _('NE_B'), None, '', self.NEB), ('BulkModulus', None, _('B_ulk Modulus'), None, '', self.bulk_modulus), ('Bulk', None, _('_Bulk Crystal'), None, _("Create a bulk crystal with arbitrary orientation"), self.bulk_window), ('Surface', None, _('_Surface slab'), None, _("Create the most common surfaces"), self.surface_window), ('Nanoparticle', None, _('_Nanoparticle'), None, _("Create a crystalline nanoparticle"), self.nanoparticle_window), ('Nanotube', None, _('Nano_tube'), None, _("Create a nanotube"), self.nanotube_window), ('Graphene', None, _('Graphene'), None, _("Create a graphene sheet or nanoribbon"), self.graphene_window), ('SetCalculator', None, _('Set _Calculator'), None, _("Set a calculator used in all calculation modules"), self.calculator_window), ('EnergyForces', None, _('_Energy and Forces'), None, _("Calculate energy and forces"), self.energy_window), ('Minimize', None, _('Energy _Minimization'), None, _("Minimize the energy"), self.energy_minimize_window), ('Scaling', None, _('Scale system'), None, _("Deform system by scaling it"), self.scaling_window), ('About', None, _('_About'), None, None, self.about), ('Webpage', gtk.STOCK_HELP, _('Webpage ...'), None, None, webpage), ('Debug', None, _('Debug ...'), None, None, self.debug)]) actions.add_toggle_actions([ ('ShowUnitCell', None, _('Show _unit cell'), 'U', 'Bold', self.toggle_show_unit_cell, show_unit_cell > 0), ('ShowAxes', None, _('Show _axes'), None, 'Bold', self.toggle_show_axes, True), ('ShowBonds', None, _('Show _bonds'), 'B', 'Bold', self.toggle_show_bonds, show_bonds), ('MoveAtoms', None, _('_Move atoms'), 'M', 'Bold', self.toggle_move_mode, False), ('RotateAtoms', None, _('_Rotate atoms'), 'R', 'Bold', self.toggle_rotate_mode, False), ('OrientAtoms', None, _('Orien_t atoms'), 'T', 'Bold', self.toggle_orient_mode, False) ]) self.ui = ui = gtk.UIManager() ui.insert_action_group(actions, 0) self.window.add_accel_group(ui.get_accel_group()) try: mergeid = ui.add_ui_from_string(ui_info) except gobject.GError, msg: print _('building menus failed: %s') % msg vbox.pack_start(ui.get_widget('/MenuBar'), False, False, 0) View.__init__(self, vbox, rotations) Status.__init__(self, vbox) vbox.show() #self.window.set_events(gtk.gdk.BUTTON_PRESS_MASK) self.window.connect('key-press-event', self.scroll) self.window.connect('scroll_event', self.scroll_event) self.window.show() self.graphs = [] # List of open pylab windows self.graph_wref = [] # List of weakrefs to Graph objects self.movie_window = None self.clipboard = None # initialize copy/paste functions self.vulnerable_windows = [] self.simulation = {} # Used by modules on Calculate menu. self.module_state = {} # Used by modules to store their state. self.config = read_defaults() def run(self, expr=None): self.set_colors() self.set_coordinates(self.images.nimages - 1, focus=True) if self.images.nimages > 1: self.movie() if expr is None and not np.isnan(self.images.E[0]): expr = self.config['gui_graphs_string'] if expr is not None and expr != '' and self.images.nimages > 1: self.plot_graphs(expr=expr) gtk.main() def step(self, action): d = {'First': -10000000, 'Previous': -1, 'Next': 1, 'Last': 10000000}[action.get_name()] i = max(0, min(self.images.nimages - 1, self.frame + d)) self.set_frame(i) if self.movie_window is not None: self.movie_window.frame_number.value = i def _do_zoom(self, x): """Utility method for zooming""" self.scale *= x self.draw() def zoom(self, action): """Zoom in/out on keypress or clicking menu item""" x = {'ZoomIn': 1.2, 'ZoomOut':1 /1.2}[action.get_name()] self._do_zoom(x) def scroll_event(self, window, event): """Zoom in/out when using mouse wheel""" SHIFT = event.state == gtk.gdk.SHIFT_MASK x = 1.0 if event.direction == gtk.gdk.SCROLL_UP: x = 1.0 + (1-SHIFT)*0.2 + SHIFT*0.01 elif event.direction == gtk.gdk.SCROLL_DOWN: x = 1.0 / (1.0 + (1-SHIFT)*0.2 + SHIFT*0.01) self._do_zoom(x) def settings(self, menuitem): Settings(self) def scroll(self, window, event): from copy import copy CTRL = event.state == gtk.gdk.CONTROL_MASK SHIFT = event.state == gtk.gdk.SHIFT_MASK dxdydz = {gtk.keysyms.KP_Add: ('zoom', 1.0 + (1-SHIFT)*0.2 + SHIFT*0.01, 0), gtk.keysyms.KP_Subtract: ('zoom', 1 / (1.0 + (1-SHIFT)*0.2 + SHIFT*0.01), 0), gtk.keysyms.Up: ( 0, +1 - CTRL, +CTRL), gtk.keysyms.Down: ( 0, -1 + CTRL, -CTRL), gtk.keysyms.Right: (+1, 0, 0), gtk.keysyms.Left: (-1, 0, 0)}.get(event.keyval, None) try: inch = chr(event.keyval) except: inch = None sel = [] atom_move = self.ui.get_widget('/MenuBar/ToolsMenu/MoveAtoms' ).get_active() atom_rotate = self.ui.get_widget('/MenuBar/ToolsMenu/RotateAtoms' ).get_active() atom_orient = self.ui.get_widget('/MenuBar/ToolsMenu/OrientAtoms' ).get_active() if dxdydz is None: return dx, dy, dz = dxdydz if dx == 'zoom': self._do_zoom(dy) return d = self.scale * 0.1 tvec = np.array([dx, dy, dz]) dir_vec = np.dot(self.axes, tvec) if (atom_move): rotmat = self.axes s = 0.1 if SHIFT: s = 0.01 add = s * dir_vec for i in range(len(self.R)): if self.atoms_to_rotate_0[i]: self.R[i] += add for jx in range(self.images.nimages): self.images.P[jx][i] += add elif atom_rotate: from rot_tools import rotate_about_vec, \ rotate_vec sel = self.images.selected if sum(sel) == 0: sel = self.atoms_to_rotate_0 nsel = sum(sel) # this is the first one to get instatiated if nsel != 2: self.rot_vec = dir_vec change = False z_axis = np.dot(self.axes, np.array([0, 0, 1])) if self.atoms_to_rotate == None: change = True self.z_axis_old = z_axis.copy() self.dx_change = [0, 0] self.atoms_to_rotate = self.atoms_to_rotate_0.copy() self.atoms_selected = sel.copy() self.rot_vec = dir_vec if nsel != 2 or sum(self.atoms_to_rotate) == 2: self.dx_change = [0, 0] for i in range(len(sel)): if sel[i] != self.atoms_selected[i]: change = True cz = [dx, dy+dz] if cz[0] or cz[1]: change = False if not(cz[0] * (self.dx_change[1])): change = True for i in range(2): if cz[i] and self.dx_change[i]: self.rot_vec = self.rot_vec * cz[i] * self.dx_change[i] if cz[1]: change = False if np.prod(self.z_axis_old != z_axis): change = True self.z_axis_old = z_axis.copy() self.dx_change = copy(cz) dihedral_rotation = len(self.images.selected_ordered) == 4 if change: self.atoms_selected = sel.copy() if nsel == 2 and sum(self.atoms_to_rotate) != 2: asel = [] for i, j in enumerate(sel): if j: asel.append(i) a1, a2 = asel rvx = self.images.P[self.frame][a1] - \ self.images.P[self.frame][a2] rvy = np.cross(rvx, np.dot(self.axes, np.array([0, 0, 1]))) self.rot_vec = rvx * dx + rvy * (dy + dz) self.dx_change = [dx, dy+dz] # dihedral rotation? if dihedral_rotation: sel = self.images.selected_ordered self.rot_vec = (dx+dy+dz)*(self.R[sel[2]]-self.R[sel[1]]) rot_cen = np.array([0.0, 0.0, 0.0]) if dihedral_rotation: sel = self.images.selected_ordered rot_cen = self.R[sel[1]].copy() elif nsel: for i, b in enumerate( sel): if b: rot_cen += self.R[i] rot_cen /= float(nsel) degrees = 5 * (1 - SHIFT) + SHIFT degrees = abs(sum(dxdydz)) * 3.1415 / 360.0 * degrees rotmat = rotate_about_vec(self.rot_vec, degrees) # now rotate the atoms that are to be rotated for i in range(len(self.R)): if self.atoms_to_rotate[i]: self.R[i] -= rot_cen for jx in range(self.images.nimages): self.images.P[jx][i] -= rot_cen self.R[i] = rotate_vec(rotmat, self.R[i]) for jx in range(self.images.nimages): self.images.P[jx][i] = rotate_vec(rotmat, self.images.P[jx][i]) self.R[i] += rot_cen for jx in range(self.images.nimages): self.images.P[jx][i] += rot_cen elif atom_orient: to_vec = np.array([dx, dy, dz]) from rot_tools import rotate_vec_into_newvec rot_mat = rotate_vec_into_newvec(self.orient_normal, to_vec) self.axes = rot_mat self.set_coordinates() else: self.center -= (dx * 0.1 * self.axes[:, 0] - dy * 0.1 * self.axes[:, 1]) self.draw() def copy_atoms(self, widget): "Copies selected atoms to a clipboard, if no atoms are selected then the clipboard is cleared." if self.images.selected.any(): atoms = self.images.get_atoms(self.frame) lena = len(atoms) for i in range(len(atoms)): li = lena-1-i if not self.images.selected[li]: del(atoms[li]) for i in atoms: i.position = np.dot(self.axes.T,i.position) ref = atoms[0].position for i in atoms: if i.position[2] < ref[2]: ref = i.position self.clipboard = atoms.copy() self.clipboard.reference_position = ref else: self.clipboard = None def paste_atoms(self, widget): "Inserts clipboard selection into the current frame using the add_atoms window." if self.clipboard is not None: self.add_atoms(widget, data='Paste', paste=self.clipboard) def add_atoms(self, widget, data=None, paste=None): """ Presents a dialogbox to the user, that allows him to add atoms/molecule to the current slab or to paste the clipboard. The molecule/atom is rotated using the current rotation of the coordinate system. The molecule/atom can be added at a specified position - if the keyword auto+Z is used, the COM of the selected atoms will be used as COM for the moleculed. The COM is furthermore translated Z ang towards the user. If no molecules are selected, the COM of all the atoms will be used for the x-y components of the active coordinate system, while the z-direction will be chosen from the nearest atom position along this direction. Note: If this option is used, all frames except the active one are deleted. """ if data == 'load': chooser = gtk.FileChooserDialog( _('Open ...'), None, gtk.FILE_CHOOSER_ACTION_OPEN, (gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_OPEN, gtk.RESPONSE_OK)) chooser.set_filename(_("<>")) ok = chooser.run() if ok == gtk.RESPONSE_OK: filename = chooser.get_filename() chooser.destroy() else: chooser.destroy() return if data == 'OK' or data == 'load': import ase if data == 'load': molecule = filename else: molecule = self.add_entries[1].get_text() tag = self.add_entries[2].get_text() mom = self.add_entries[3].get_text() pos = self.add_entries[4].get_text().lower() if paste is not None: a = paste.copy() else: a = None if a is None: try: a = ase.Atoms([ase.Atom(molecule)]) except: try: a = ase.data.molecules.molecule(molecule) except: try: a = ase.io.read(molecule, -1) except: self.add_entries[1].set_text('?' + molecule) return () directions = np.transpose(self.axes) if a != None: for i in a: try: i.set('tag',int(tag)) except: self.add_entries[2].set_text('?' + tag) return () try: i.magmom = float(mom) except: self.add_entries[3].set_text('?' + mom) return () if self.origin_radio.get_active() and paste: a.translate(-paste.reference_position) # apply the current rotation matrix to A for i in a: i.position = np.dot(self.axes, i.position) # find the extent of the molecule in the local coordinate system if self.centre_radio.get_active(): a_cen_pos = np.array([0.0, 0.0, 0.0]) m_cen_pos = 0.0 for i in a.positions: a_cen_pos[0] += np.dot(directions[0], i) a_cen_pos[1] += np.dot(directions[1], i) a_cen_pos[2] += np.dot(directions[2], i) m_cen_pos = max(np.dot(-directions[2], i), m_cen_pos) a_cen_pos[0] /= len(a.positions) a_cen_pos[1] /= len(a.positions) a_cen_pos[2] /= len(a.positions) a_cen_pos[2] -= m_cen_pos else: a_cen_pos = np.array([0.0, 0.0, 0.0]) # now find the position cen_pos = np.array([0.0, 0.0, 0.0]) if sum(self.images.selected) > 0: for i in range(len(self.R)): if self.images.selected[i]: cen_pos += self.R[i] cen_pos /= sum(self.images.selected) elif len(self.R) > 0: px = 0.0 py = 0.0 pz = -1e6 for i in range(len(self.R)): px += np.dot(directions[0], self.R[i]) py += np.dot(directions[1], self.R[i]) pz = max(np.dot(directions[2], self.R[i]), pz) px = (px/float(len(self.R))) py = (py/float(len(self.R))) cen_pos = directions[0] * px + \ directions[1] * py + \ directions[2] * pz if 'auto' in pos: pos = pos.replace('auto', '') import re pos = re.sub('\s', '', pos) if '(' in pos: sign = eval('%s1' % pos[0]) a_cen_pos -= sign * np.array(eval(pos[1:]), float) else: a_cen_pos -= float(pos) * directions[2] else: cen_pos = np.array(eval(pos)) for i in a: i.position += cen_pos - a_cen_pos # and them to the molecule atoms = self.images.get_atoms(self.frame) atoms = atoms + a self.new_atoms(atoms, init_magmom=True) # and finally select the new molecule for easy moving and rotation for i in range(len(a)): self.images.selected[len(atoms) - i - 1] = True self.draw() self.add_entries[0].destroy() if data == 'Cancel': self.add_entries[0].destroy() if data == None or data == 'Paste': from ase.gui.widgets import pack molecule = '' tag = '0' mom = '0' pos = 'auto+1' self.add_entries = [] window = gtk.Window(gtk.WINDOW_TOPLEVEL) self.add_entries.append(window) window.set_title(_('Add atoms')) if data == 'Paste': molecule = paste.get_chemical_symbols(True) window.set_title(_('Paste')) vbox = gtk.VBox(False, 0) window.add(vbox) vbox.show() packed = False for i, j in [[_('Insert atom or molecule'), molecule], [_('Tag'), tag], [_('Moment'), mom], [_('Position'), pos]]: label = gtk.Label(i) if not packed: vbox.pack_start(label, True, True, 0) else: packed = True vbox.add(label) label.show() entry = gtk.Entry() entry.set_text(j) self.add_entries.append(entry) entry.set_max_length(50) entry.show() vbox.add(entry) pack(vbox,[gtk.Label('atom/molecule reference:')]) self.centre_radio = gtk.RadioButton(None, "centre ") self.origin_radio = gtk.RadioButton(self.centre_radio, "origin") pack(vbox,[self.centre_radio, self.origin_radio]) if data == 'Paste': self.origin_radio.set_active(True) self.add_entries[1].set_sensitive(False) if data == None: button = gtk.Button(_('_Load molecule')) button.connect('clicked', self.add_atoms, 'load') button.show() vbox.add(button) button = gtk.Button(_('_OK')) button.connect('clicked', self.add_atoms, 'OK', paste) button.show() vbox.add(button) button = gtk.Button(_('_Cancel')) button.connect('clicked', self.add_atoms, 'Cancel') button.show() vbox.add(button) window.show() def modify_atoms(self, widget, data=None): """ Presents a dialog box where the user is able to change the atomic type, the magnetic moment and tags of the selected atoms. An item marked with X will not be changed. """ if data: if data == 'OK': import ase symbol = self.add_entries[1].get_text() tag = self.add_entries[2].get_text() mom = self.add_entries[3].get_text() a = None if symbol != 'X': try: a = ase.Atoms([ase.Atom(symbol)]) except: self.add_entries[1].set_text('?' + symbol) return () y = self.images.selected.copy() # and them to the molecule atoms = self.images.get_atoms(self.frame) for i in range(len(atoms)): if self.images.selected[i]: if a: atoms[i].symbol = symbol try: if tag != 'X': atoms[i].tag = int(tag) except: self.add_entries[2].set_text('?' + tag) return () try: if mom != 'X': atoms[i].magmom = float(mom) except: self.add_entries[3].set_text('?' + mom) return () self.new_atoms(atoms, init_magmom=True) # and finally select the new molecule for easy moving and rotation self.images.selected = y self.draw() self.add_entries[0].destroy() if data == None and sum(self.images.selected): atoms = self.images.get_atoms(self.frame) s_tag = '' s_mom = '' s_symbol = '' # Get the tags, moments and symbols of the selected atomsa for i in range(len(atoms)): if self.images.selected[i]: if not(s_tag): s_tag = str(atoms[i].tag) elif s_tag != str(atoms[i].tag): s_tag = 'X' if not(s_mom): s_mom = ("%2.2f" % (atoms[i].magmom)) elif s_mom != ("%2.2f" % (atoms[i].magmom)): s_mom = 'X' if not(s_symbol): s_symbol = str(atoms[i].symbol) elif s_symbol != str(atoms[i].symbol): s_symbol = 'X' self.add_entries = [] window = gtk.Window(gtk.WINDOW_TOPLEVEL) self.add_entries.append(window) window.set_title(_('Modify')) vbox = gtk.VBox(False, 0) window.add(vbox) vbox.show() pack = False for i, j in [[_('Atom'), s_symbol], [_('Tag'), s_tag], [_('Moment'), s_mom]]: label = gtk.Label(i) if not pack: vbox.pack_start(label, True, True, 0) else: pack = True vbox.add(label) label.show() entry = gtk.Entry() entry.set_text(j) self.add_entries.append(entry) entry.set_max_length(50) entry.show() vbox.add(entry) button = gtk.Button(_('_OK')) button.connect('clicked', self.modify_atoms, 'OK') button.show() vbox.add(button) button = gtk.Button(_('_Cancel')) button.connect('clicked', self.modify_atoms, 'Cancel') button.show() vbox.add(button) window.show() def delete_selected_atoms(self, widget=None, data=None): if data == 'OK': atoms = self.images.get_atoms(self.frame) lena = len(atoms) for i in range(len(atoms)): li = lena-1-i if self.images.selected[li]: del(atoms[li]) self.new_atoms(atoms) self.draw() if data: self.delete_window.destroy() if not(data) and sum(self.images.selected): nselected = sum(self.images.selected) self.delete_window = gtk.Window(gtk.WINDOW_TOPLEVEL) self.delete_window.set_title(_('Confirmation')) self.delete_window.set_border_width(10) self.box1 = gtk.HBox(False, 0) self.delete_window.add(self.box1) self.button1 = gtk.Button(ngettext('Delete selected atom?', 'Delete selected atoms?', nselected)) self.button1.connect("clicked", self.delete_selected_atoms, "OK") self.box1.pack_start(self.button1, True, True, 0) self.button1.show() self.button2 = gtk.Button(_("Cancel")) self.button2.connect("clicked", self.delete_selected_atoms, "Cancel") self.box1.pack_start(self.button2, True, True, 0) self.button2.show() self.box1.show() self.delete_window.show() def debug(self, x): from ase.gui.debug import Debug Debug(self) def execute(self, widget=None): from ase.gui.execute import Execute Execute(self) def constraints_window(self, widget=None): from ase.gui.constraints import Constraints Constraints(self) def dft_window(self, widget=None): from ase.gui.dft import DFT DFT(self) def select_all(self, widget): self.images.selected[:] = True self.draw() def invert_selection(self, widget): self.images.selected[:] = ~self.images.selected self.draw() def select_constrained_atoms(self, widget): self.images.selected[:] = ~self.images.dynamic self.draw() def select_immobile_atoms(self, widget): if self.images.nimages > 1: R0 = self.images.P[0] for R in self.images.P[1:]: self.images.selected[:] =~ (np.abs(R - R0) > 1.0e-10).any(1) self.draw() def movie(self, widget=None): from ase.gui.movie import Movie self.movie_window = Movie(self) def plot_graphs(self, x=None, expr=None): from ase.gui.graphs import Graphs g = Graphs(self) if expr is not None: g.plot(expr=expr) self.graph_wref.append(weakref.ref(g)) def plot_graphs_newatoms(self): "Notify any Graph objects that they should make new plots." new_wref = [] found = 0 for wref in self.graph_wref: ref = wref() if ref is not None: ref.plot() new_wref.append(wref) # Preserve weakrefs that still work. found += 1 self.graph_wref = new_wref return found def NEB(self, action): from ase.gui.neb import NudgedElasticBand NudgedElasticBand(self.images) def bulk_modulus(self, action): from ase.gui.bulk_modulus import BulkModulus BulkModulus(self.images) def open(self, button=None, filenames=None): if filenames == None: chooser = gtk.FileChooserDialog( _('Open ...'), None, gtk.FILE_CHOOSER_ACTION_OPEN, (gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_OPEN, gtk.RESPONSE_OK)) chooser.set_filename(_("<>")) # Add a file type filter name_to_suffix = {} types = gtk.combo_box_new_text() for name, suffix in [(_('Automatic'), None), (_('Dacapo netCDF output file'),'dacapo'), (_('Virtual Nano Lab file'),'vnl'), (_('ASE pickle trajectory'),'traj'), (_('ASE bundle trajectory'),'bundle'), (_('GPAW text output'),'gpaw-text'), (_('CUBE file'),'cube'), (_('XCrySDen Structure File'),'xsf'), (_('Dacapo text output'),'dacapo-text'), (_('XYZ-file'),'xyz'), (_('VASP POSCAR/CONTCAR file'),'vasp'), (_('VASP OUTCAR file'),'vasp_out'), (_('Protein Data Bank'),'pdb'), (_('CIF-file'),'cif'), (_('FHI-aims geometry file'),'aims'), (_('FHI-aims output file'),'aims_out'), (_('TURBOMOLE coord file'),'tmol'), (_('exciting input'),'exi'), (_('WIEN2k structure file'),'struct'), (_('DftbPlus input file'),'dftb'), (_('ETSF format'),'etsf.nc'), (_('CASTEP geom file'),'cell'), (_('CASTEP output file'),'castep'), (_('CASTEP trajectory file'),'geom'), (_('DFTBPlus GEN format'),'gen') ]: types.append_text(name) name_to_suffix[name] = suffix types.set_active(0) img_vbox = gtk.VBox() pack(img_vbox, [gtk.Label(_('File type:')), types]) img_vbox.show() chooser.set_extra_widget(img_vbox) ok = chooser.run() == gtk.RESPONSE_OK if ok: filenames = [chooser.get_filename()] filetype = types.get_active_text() chooser.destroy() if not ok: return n_current = self.images.nimages self.reset_tools_modes() self.images.read(filenames, slice(None), name_to_suffix[filetype]) self.set_colors() self.set_coordinates(self.images.nimages - 1, focus=True) def import_atoms (self, button=None, filenames=None): if filenames == None: chooser = gtk.FileChooserDialog( _('Open ...'), None, gtk.FILE_CHOOSER_ACTION_OPEN, (gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_OPEN, gtk.RESPONSE_OK)) ok = chooser.run() if ok == gtk.RESPONSE_OK: filenames = [chooser.get_filename()] chooser.destroy() if not ok: return self.images.import_atoms(filenames, self.frame) self.set_colors() self.set_coordinates(self.images.nimages - 1, focus=True) def save(self, action): chooser = gtk.FileChooserDialog( _('Save ...'), None, gtk.FILE_CHOOSER_ACTION_SAVE, (gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_SAVE, gtk.RESPONSE_OK)) try: fname = sys.argv[1] except IndexError: fname = "<>" chooser.set_filename(fname) # Add a file type filter types = [] name_to_suffix = {} for name, suffix in [(_('Automatic'), None), (_('XYZ file'), 'xyz'), (_('ASE trajectory'), 'traj'), (_('PDB file'), 'pdb'), (_('Gaussian cube file'), 'cube'), (_('Python script'), 'py'), (_('VNL file'), 'vnl'), (_('Portable Network Graphics'), 'png'), (_('Persistence of Vision'), 'pov'), (_('Encapsulated PostScript'), 'eps'), (_('FHI-aims geometry input'), 'in'), (_('CASTEP geom file'),'cell'), (_('VASP geometry input'), 'POSCAR'), (_('ASE bundle trajectory'), 'bundle'), (_('cif file'), 'cif'), ]: if suffix is None: name = _(name) else: name = '%s (%s)' % (_(name), suffix) filt = gtk.FileFilter() filt.set_name(name) if suffix is None: filt.add_pattern('*') elif suffix == 'POSCAR': filt.add_pattern('*POSCAR*') else: filt.add_pattern('*.'+suffix) if suffix is not None: types.append(suffix) name_to_suffix[name] = suffix chooser.add_filter(filt) if self.images.nimages > 1: img_vbox = gtk.VBox() button = gtk.CheckButton(_('Save current image only (#%d)') % self.frame) pack(img_vbox, button) entry = gtk.Entry(10) pack(img_vbox, [gtk.Label(_('Slice: ')), entry, help(_('Help for slice ...'))]) entry.set_text('0:%d' % self.images.nimages) img_vbox.show() chooser.set_extra_widget(img_vbox) while True: # Loop until the user selects a proper file name, or cancels. response = chooser.run() if response == gtk.RESPONSE_CANCEL or response == gtk.RESPONSE_DELETE_EVENT: chooser.destroy() return elif response != gtk.RESPONSE_OK: print >>sys.stderr, _("AG INTERNAL ERROR: strange response in Save,"), response chooser.destroy() return filename = chooser.get_filename() suffix = os.path.splitext(filename)[1][1:] if 'POSCAR' in filename or 'CONTCAR' in filename: suffix = 'POSCAR' if suffix == '': # No suffix given. If the user has chosen a special # file type, use the corresponding suffix. filt = chooser.get_filter().get_name() suffix = name_to_suffix[filt] filename = filename + '.' + suffix # XXX FIXME the window saying unknown output format # cannot be closed if suffix not in types: oops(message=_('Unknown output format!'), message2=_('Use one of: %s') % ', '.join(types[1:])) continue if self.images.nimages > 1: if button.get_active(): filename += '@%d' % self.frame else: filename += '@' + entry.get_text() break chooser.destroy() bbox = np.empty(4) size = np.array([self.width, self.height]) / self.scale bbox[0:2] = np.dot(self.center, self.axes[:, :2]) - size / 2 bbox[2:] = bbox[:2] + size suc = self.ui.get_widget('/MenuBar/ViewMenu/ShowUnitCell').get_active() extra_args = {} if suffix in ['eps', 'png', 'pov', 'png']: extra_args['colors'] = self.get_colors(rgb=True) self.images.write(filename, self.axes, show_unit_cell=suc, bbox=bbox, **extra_args) def quick_info_window(self, menuitem): QuickInfo(self) def bulk_window(self, menuitem): SetupBulkCrystal(self) def surface_window(self, menuitem): SetupSurfaceSlab(self) def nanoparticle_window(self, menuitem): SetupNanoparticle(self) def graphene_window(self, menuitem): SetupGraphene(self) def nanotube_window(self, menuitem): SetupNanotube(self) def calculator_window(self, menuitem): SetCalculator(self) def energy_window(self, menuitem): EnergyForces(self) def energy_minimize_window(self, menuitem): Minimize(self) def scaling_window(self, menuitem): HomogeneousDeformation(self) def new_atoms(self, atoms, init_magmom=False): "Set a new atoms object." self.reset_tools_modes() rpt = getattr(self.images, 'repeat', None) self.images.repeat_images(np.ones(3, int)) self.images.initialize([atoms], init_magmom=init_magmom) self.frame = 0 # Prevent crashes self.images.repeat_images(rpt) self.set_colors() self.set_coordinates(frame=0, focus=True) self.notify_vulnerable() def prepare_new_atoms(self): "Marks that the next call to append_atoms should clear the images." self.images.prepare_new_atoms() def append_atoms(self, atoms): "Set a new atoms object." #self.notify_vulnerable() # Do this manually after last frame. frame = self.images.append_atoms(atoms) self.set_coordinates(frame=frame-1, focus=True) def notify_vulnerable(self): """Notify windows that would break when new_atoms is called. The notified windows may adapt to the new atoms. If that is not possible, they should delete themselves. """ new_vul = [] # Keep weakrefs to objects that still exist. for wref in self.vulnerable_windows: ref = wref() if ref is not None: new_vul.append(wref) ref.notify_atoms_changed() self.vulnerable_windows = new_vul def register_vulnerable(self, obj): """Register windows that are vulnerable to changing the images. Some windows will break if the atoms (and in particular the number of images) are changed. They can register themselves and be closed when that happens. """ self.vulnerable_windows.append(weakref.ref(obj)) def exit(self, button, event=None): self.window.destroy() gtk.main_quit() return True def xxx(self, x=None, message1=_('Not implemented!'), message2=_('do you really need it?')): oops(message1, message2) def about(self, action): try: dialog = gtk.AboutDialog() except AttributeError: self.xxx() else: dialog.run() def webpage(widget): import webbrowser webbrowser.open('https://wiki.fysik.dtu.dk/ase/ase/gui.html') python-ase-3.6.0.2515/ase/gui/images.py0000644000175400017540000003527111672656022016372 0ustar askhlaskhlfrom math import sqrt import numpy as np from ase.data import covalent_radii from ase.atoms import Atoms from ase.calculators.singlepoint import SinglePointCalculator from ase.io import read, write, string2index from ase.constraints import FixAtoms from ase.gui.defaults import read_defaults from ase.quaternions import Quaternion class Images: def __init__(self, images=None): if images is not None: self.initialize(images) def initialize(self, images, filenames=None, init_magmom=False): self.natoms = len(images[0]) self.nimages = len(images) if hasattr(images[0], 'get_shapes'): self.shapes = images[0].get_shapes() self.Q = [] else: self.shapes = None if filenames is None: filenames = [None] * self.nimages self.filenames = filenames self.P = np.empty((self.nimages, self.natoms, 3)) self.V = np.empty((self.nimages, self.natoms, 3)) self.E = np.empty(self.nimages) self.K = np.empty(self.nimages) self.F = np.empty((self.nimages, self.natoms, 3)) self.M = np.empty((self.nimages, self.natoms)) self.T = np.empty((self.nimages, self.natoms), int) self.A = np.empty((self.nimages, 3, 3)) self.Z = images[0].get_atomic_numbers() self.pbc = images[0].get_pbc() self.covalent_radii = covalent_radii config = read_defaults() if config['covalent_radii'] is not None: for data in config['covalent_radii']: self.covalent_radii[data[0]] = data[1] warning = False for i, atoms in enumerate(images): natomsi = len(atoms) if (natomsi != self.natoms or (atoms.get_atomic_numbers() != self.Z).any()): raise RuntimeError('Can not handle different images with ' + 'different numbers of atoms or different ' + 'kinds of atoms!') self.P[i] = atoms.get_positions() self.V[i] = atoms.get_velocities() if hasattr(self, 'Q'): for q in atoms.get_quaternions(): self.Q.append(Quaternion(q)) self.A[i] = atoms.get_cell() if (atoms.get_pbc() != self.pbc).any(): warning = True try: self.E[i] = atoms.get_potential_energy() except RuntimeError: self.E[i] = np.nan self.K[i] = atoms.get_kinetic_energy() try: self.F[i] = atoms.get_forces(apply_constraint=False) except RuntimeError: self.F[i] = np.nan try: if init_magmom: self.M[i] = atoms.get_initial_magnetic_moments() else: self.M[i] = atoms.get_magnetic_moments() except (RuntimeError, AttributeError): self.M[i] = atoms.get_initial_magnetic_moments() # added support for tags try: self.T[i] = atoms.get_tags() except RuntimeError: self.T[i] = 0 if warning: print('WARNING: Not all images have the same bondary conditions!') self.selected = np.zeros(self.natoms, bool) self.selected_ordered = [] self.atoms_to_rotate_0 = np.zeros(self.natoms, bool) self.visible = np.ones(self.natoms, bool) self.nselected = 0 self.set_dynamic(constraints = images[0].constraints) self.repeat = np.ones(3, int) self.set_radii(0.89) def prepare_new_atoms(self): "Marks that the next call to append_atoms should clear the images." self.next_append_clears = True def append_atoms(self, atoms, filename=None): "Append an atoms object to the images already stored." assert len(atoms) == self.natoms if self.next_append_clears: i = 0 else: i = self.nimages for name in ('P', 'V', 'E', 'K', 'F', 'M', 'A', 'T'): a = getattr(self, name) newa = np.empty( (i+1,) + a.shape[1:], a.dtype ) if not self.next_append_clears: newa[:-1] = a setattr(self, name, newa) self.next_append_clears = False self.P[i] = atoms.get_positions() self.V[i] = atoms.get_velocities() self.A[i] = atoms.get_cell() try: self.E[i] = atoms.get_potential_energy() except RuntimeError: self.E[i] = np.nan self.K[i] = atoms.get_kinetic_energy() try: self.F[i] = atoms.get_forces(apply_constraint=False) except RuntimeError: self.F[i] = np.nan try: self.M[i] = atoms.get_magnetic_moments() except (RuntimeError, AttributeError): self.M[i] = np.nan try: self.T[i] = atoms.get_tags() except AttributeError: if i == 0: self.T[i] = 0 else: self.T[i] = self.T[i-1] self.nimages = i + 1 self.filenames.append(filename) self.set_dynamic() return self.nimages def set_radii(self, scale): if self.shapes == None: self.r = self.covalent_radii[self.Z] * scale else: self.r = np.sqrt(np.sum(self.shapes**2, axis=1)) * scale def read(self, filenames, index=-1, filetype=None): images = [] names = [] for filename in filenames: i = read(filename, index,filetype) if not isinstance(i, list): i = [i] images.extend(i) names.extend([filename] * len(i)) self.initialize(images, names) def import_atoms(self, filename, cur_frame): if filename: filename = filename[0] old_a = self.get_atoms(cur_frame) imp_a = read(filename, -1) new_a = old_a + imp_a self.initialize([new_a], [filename]) def repeat_images(self, repeat): n = self.repeat.prod() repeat = np.array(repeat) self.repeat = repeat N = repeat.prod() natoms = self.natoms // n P = np.empty((self.nimages, natoms * N, 3)) V = np.empty((self.nimages, natoms * N, 3)) M = np.empty((self.nimages, natoms * N)) T = np.empty((self.nimages, natoms * N), int) F = np.empty((self.nimages, natoms * N, 3)) Z = np.empty(natoms * N, int) r = np.empty(natoms * N) dynamic = np.empty(natoms * N, bool) a0 = 0 for i0 in range(repeat[0]): for i1 in range(repeat[1]): for i2 in range(repeat[2]): a1 = a0 + natoms for i in range(self.nimages): P[i, a0:a1] = (self.P[i, :natoms] + np.dot((i0, i1, i2), self.A[i])) V[:, a0:a1] = self.V[:, :natoms] F[:, a0:a1] = self.F[:, :natoms] M[:, a0:a1] = self.M[:, :natoms] T[:, a0:a1] = self.T[:, :natoms] Z[a0:a1] = self.Z[:natoms] r[a0:a1] = self.r[:natoms] dynamic[a0:a1] = self.dynamic[:natoms] a0 = a1 self.P = P self.V = V self.F = F self.Z = Z self.T = T self.M = M self.r = r self.dynamic = dynamic self.natoms = natoms * N self.selected = np.zeros(natoms * N, bool) self.atoms_to_rotate_0 = np.zeros(self.natoms, bool) self.visible = np.ones(natoms * N, bool) self.nselected = 0 def center(self): """ center each image in the existing unit cell, keeping the cell constant. """ c = self.A.sum(axis=1) / 2.0 - self.P.mean(axis=1) self.P += c[:, np.newaxis, :] def graph(self, expr): """ routine to create the data in ag graphs, defined by the string expr. """ import ase.units as units code = compile(expr + ',', 'atoms.py', 'eval') n = self.nimages def d(n1, n2): return sqrt(((R[n1] - R[n2])**2).sum()) def a(n1, n2, n3): v1 = R[n1]-R[n2] v2 = R[n3]-R[n2] arg = np.vdot(v1,v2)/(sqrt((v1**2).sum()*(v2**2).sum())) if arg > 1.0: arg = 1.0 if arg < -1.0: arg = -1.0 return 180.0*np.arccos(arg)/np.pi def dih(n1, n2, n3, n4): # vector 0->1, 1->2, 2->3 and their normalized cross products: a = R[n2]-R[n1] b = R[n3]-R[n2] c = R[n4]-R[n3] bxa = np.cross(b,a) bxa /= np.sqrt(np.vdot(bxa,bxa)) cxb = np.cross(c,b) cxb /= np.sqrt(np.vdot(cxb,cxb)) angle = np.vdot(bxa,cxb) # check for numerical trouble due to finite precision: if angle < -1: angle = -1 if angle > 1: angle = 1 angle = np.arccos(angle) if (np.vdot(bxa,c)) > 0: angle = 2*np.pi-angle return angle*180.0/np.pi # get number of mobile atoms for temperature calculation ndynamic = 0 for dyn in self.dynamic: if dyn: ndynamic += 1 S = self.selected D = self.dynamic[:, np.newaxis] E = self.E s = 0.0 data = [] for i in range(n): R = self.P[i] V = self.V[i] F = self.F[i] A = self.A[i] M = self.M[i] f = ((F * D)**2).sum(1)**.5 fmax = max(f) fave = f.mean() epot = E[i] ekin = self.K[i] e = epot + ekin T = 2.0 * ekin / (3.0 * ndynamic * units.kB) data = eval(code) if i == 0: m = len(data) xy = np.empty((m, n)) xy[:, i] = data if i + 1 < n: s += sqrt(((self.P[i + 1] - R)**2).sum()) return xy def set_dynamic(self, constraints = None): self.dynamic = np.ones(self.natoms, bool) if constraints is not None: for con in constraints: if isinstance(con,FixAtoms): self.dynamic[con.index] = False def write(self, filename, rotations='', show_unit_cell=False, bbox=None, **kwargs): indices = range(self.nimages) p = filename.rfind('@') if p != -1: try: slice = string2index(filename[p + 1:]) except ValueError: pass else: indices = indices[slice] filename = filename[:p] if isinstance(indices, int): indices = [indices] images = [self.get_atoms(i) for i in indices] if len(filename) > 4 and filename[-4:] in ['.eps', '.png', '.pov']: write(filename, images, rotation=rotations, show_unit_cell=show_unit_cell, bbox=bbox, **kwargs) else: write(filename, images, **kwargs) def get_atoms(self, frame): atoms = Atoms(positions=self.P[frame], numbers=self.Z, magmoms=self.M[0], tags=self.T[frame], cell=self.A[frame], pbc=self.pbc) if not np.isnan(self.V).any(): atoms.set_velocities(self.V[frame]) # check for constrained atoms and add them accordingly: if not self.dynamic.all(): atoms.set_constraint(FixAtoms(mask=1-self.dynamic)) atoms.set_calculator(SinglePointCalculator(self.E[frame], self.F[frame], None, None, atoms)) return atoms def delete(self, i): self.nimages -= 1 P = np.empty((self.nimages, self.natoms, 3)) V = np.empty((self.nimages, self.natoms, 3)) F = np.empty((self.nimages, self.natoms, 3)) A = np.empty((self.nimages, 3, 3)) E = np.empty(self.nimages) P[:i] = self.P[:i] P[i:] = self.P[i + 1:] self.P = P V[:i] = self.V[:i] V[i:] = self.V[i + 1:] self.V = V F[:i] = self.F[:i] F[i:] = self.F[i + 1:] self.F = F A[:i] = self.A[:i] A[i:] = self.A[i + 1:] self.A = A E[:i] = self.E[:i] E[i:] = self.E[i + 1:] self.E = E del self.filenames[i] def aneb(self): n = self.nimages assert n % 5 == 0 levels = n // 5 n = self.nimages = 2 * levels + 3 P = np.empty((self.nimages, self.natoms, 3)) V = np.empty((self.nimages, self.natoms, 3)) F = np.empty((self.nimages, self.natoms, 3)) E = np.empty(self.nimages) for L in range(levels): P[L] = self.P[L * 5] P[n - L - 1] = self.P[L * 5 + 4] V[L] = self.V[L * 5] V[n - L - 1] = self.V[L * 5 + 4] F[L] = self.F[L * 5] F[n - L - 1] = self.F[L * 5 + 4] E[L] = self.E[L * 5] E[n - L - 1] = self.E[L * 5 + 4] for i in range(3): P[levels + i] = self.P[levels * 5 - 4 + i] V[levels + i] = self.V[levels * 5 - 4 + i] F[levels + i] = self.F[levels * 5 - 4 + i] E[levels + i] = self.E[levels * 5 - 4 + i] self.P = P self.V = V self.F = F self.E = E def interpolate(self, m): assert self.nimages == 2 self.nimages = 2 + m P = np.empty((self.nimages, self.natoms, 3)) V = np.empty((self.nimages, self.natoms, 3)) F = np.empty((self.nimages, self.natoms, 3)) A = np.empty((self.nimages, 3, 3)) E = np.empty(self.nimages) P[0] = self.P[0] V[0] = self.V[0] F[0] = self.F[0] A[0] = self.A[0] E[0] = self.E[0] for i in range(1, m + 1): x = i / (m + 1.0) y = 1 - x P[i] = y * self.P[0] + x * self.P[1] V[i] = y * self.V[0] + x * self.V[1] F[i] = y * self.F[0] + x * self.F[1] A[i] = y * self.A[0] + x * self.A[1] E[i] = y * self.E[0] + x * self.E[1] P[-1] = self.P[1] V[-1] = self.V[1] F[-1] = self.F[1] A[-1] = self.A[1] E[-1] = self.E[1] self.P = P self.V = V self.F = F self.A = A self.E = E self.filenames[1:1] = [None] * m if __name__ == '__main__': import os os.system('python gui.py') python-ase-3.6.0.2515/ase/gui/repeat.py0000644000175400017540000000246311706276516016406 0ustar askhlaskhl#!/usr/bin/env python import gtk from math import sqrt from gettext import gettext as _ import numpy as np from ase.gui.widgets import pack, Help class Repeat(gtk.Window): def __init__(self, gui): gtk.Window.__init__(self) self.set_title(_('Repeat')) vbox = gtk.VBox() pack(vbox, gtk.Label(_('Repeat atoms:'))) self.repeat = [gtk.Adjustment(r, 1, 9, 1) for r in gui.images.repeat] pack(vbox, [gtk.SpinButton(r, 0, 0) for r in self.repeat]) for r in self.repeat: r.connect('value-changed', self.change) button = pack(vbox, gtk.Button(_('Set unit cell'))) button.connect('clicked', self.set_unit_cell) self.add(vbox) vbox.show() self.show() self.gui = gui def change(self, adjustment): self.gui.images.repeat_images([int(r.value) for r in self.repeat]) self.gui.repeat_colors([int(r.value) for r in self.repeat]) self.gui.set_coordinates() return True def set_unit_cell(self, button): self.gui.images.A *= self.gui.images.repeat.reshape((3, 1)) self.gui.images.E *= self.gui.images.repeat.prod() self.gui.images.repeat = np.ones(3, int) for r in self.repeat: r.value = 1 self.gui.set_coordinates() python-ase-3.6.0.2515/ase/gui/dft.py0000644000175400017540000000270111706276516015676 0ustar askhlaskhl#!/usr/bin/env python from math import sqrt import gtk from gettext import gettext as _ from ase.gui.widgets import pack, Help class DFT(gtk.Window): def __init__(self, gui): gtk.Window.__init__(self) self.set_title(_('DFT')) vbox = gtk.VBox() combo = gtk.combo_box_new_text() self.xcfuncs = 'None LDA PBE revPBE RPBE PW91 EXX PBE0'.split() for xc in self.xcfuncs: combo.append_text(xc) pack(vbox, [gtk.Label(_('XC-functional: ')), combo]) button=radio(None,monkhorstpack) button=radio(button, special) pack(vbox, gtk.Label(_('Repeat atoms:'))) self.kpts = [gtk.Adjustment(r, 1, 99, 1) for r in gui.atoms.repeat] pack(vbox, [gtk.SpinButton(r, 0, 0) for r in self.repeat]) for r in self.repeat: r.connect('value-changed', self.change) close = pack(vbox, gtk.Button(_('Close'))) close.connect('clicked', lambda widget: self.destroy()) self.add(vbox) vbox.show() self.show() self.gui = gui xc = gui.atoms.dft.get('xc', 'None') combo.set_active(self.xcfuncs.index(xc)) def selected(self, button): self.gui.atoms.dynamic = ~self.gui.atoms.selected self.gui.draw() def immobile(self, button): self.gui.atoms.set_dynamic() self.gui.draw() def clear(self, button): self.gui.atoms.dynamic[:] = True self.gui.draw() python-ase-3.6.0.2515/ase/gui/pybutton.py0000644000175400017540000000463511711330540016775 0ustar askhlaskhl """pybutton.py - a button for displaying Python code. This module defines two classes, together they implement a button that a module can use to display Python. PyButton -------- PyButton is a gkt.Button with the label 'Python'. When pressed, it opens a PyWindow displaying some Python code, or an error message if no Python code is ready. The script is stored in the attribute .python, it is the responsability of the owning object to keep this attribute up to date: when pressing the Apply button would result in a sensible configuration being created, the python attribute must be set to a string creating this code. When pressing Apply would cause an error, the python attribute must be set to None. PyWindow -------- Displays the Python code. This object is created by the PyButton object when needed. """ import gtk from gettext import gettext as _ import time from ase.gui.widgets import oops, pack class PyButton(gtk.Button): "A button for displaying Python code." def __init__(self, title): gtk.Button.__init__(self, _("Python")) self.title = title self.python = None self.connect_after('clicked', self.run) def run(self, *args): "The method called when the button is clicked." if self.python: now = time.ctime() win = PyWindow(self.title, now, self.python) else: oops(_("No Python code"), _("You have not (yet) specified a " "consistent set of parameters.")) fr1_template = _(""" Title: %(title)s Time: %(time)s """) class PyWindow(gtk.Window): "A window displaying Python code." def __init__(self, title, time, code): gtk.Window.__init__(self) self.set_title(_("ag: Python code")) vbox = gtk.VBox() lbl = gtk.Label(fr1_template % dict(title=title, time=time)) lbl.set_alignment(0.0, 0.5) fr = gtk.Frame(_("Information:")) fr.add(lbl) pack(vbox, fr) txtbuf = gtk.TextBuffer() txtbuf.set_text(code) txtview = gtk.TextView(txtbuf) txtview.set_editable(False) fr = gtk.Frame(_("Python code:")) fr.add(txtview) fr.set_label_align(0.0, 0.5) pack(vbox, fr) but = gtk.Button(stock=gtk.STOCK_OK) but.connect('clicked', lambda x: self.destroy()) pack(vbox, [but], end=True, bottom=True) self.add(vbox) self.show_all() python-ase-3.6.0.2515/ase/gui/i18n.py0000644000175400017540000000064611706327763015707 0ustar askhlaskhlimport os import locale import gettext # This module enables localization using gettext. If this module has # been imported, translations will be loaded from mo-files when # possible. domain = 'ag' localedir = '%s/po/' % os.path.dirname(__file__) gettext.bindtextdomain(domain, localedir) gettext.textdomain(domain) translation = gettext.translation(domain, localedir, fallback=True) translation.install(unicode=True) python-ase-3.6.0.2515/ase/gui/rot_tools.py0000644000175400017540000000312111401652206017124 0ustar askhlaskhl# Gives the rotation matrix which rotates theta degrees about # vecU # Generates the rotation matrix that rotate theta degrees about the vecU def rotate_about_vec(vecU, theta): import numpy as np vecU = np.array(vecU) vecU = vecU / (sum(vecU ** 2) ** 0.5) ux, uy, uz = vecU st = np.sin(theta) ct = np.cos(theta) mat = np.array([[ux ** 2 + ct * (1 - ux ** 2), ux * uy * (1 - ct) - uz * st, uz * ux * (1 - ct) + uy * st], [ux * uy * (1 - ct) + uz * st, uy ** 2 + ct * (1 - uy ** 2), uy * uz * (1 - ct) - ux * st], [uz * ux * (1 - ct) - uy * st, uy * uz * (1 - ct) + ux * st, uz ** 2 + ct * (1 - uz **2)]]) return (mat) # Generates the rotation matrix which rotates aVec into intoVec def rotate_vec_into_newvec(aVec, intoVec): def length(v): return((sum(v ** 2)) ** 0.5) import numpy as np from math import acos fac = 1.0 aVec = np.array(aVec) intoVec = np.array(intoVec) nor = np.cross(aVec, intoVec) if length(nor) == 0: nor = np.array([1, 0, 0]) nor = nor / length(nor) theta = acos(np.dot(aVec, intoVec) / (length(aVec) * length(intoVec))) if np.dot(aVec, intoVec) < 0: theta = theta + np.pi fac = -1 return(fac * rotate_about_vec(nor, theta)) # Applies the rotation matrix to the vector and returns the rotated vector def rotate_vec (rot_mat, vec): import numpy as np rot_vec = np.dot(rot_mat, vec) return (rot_vec) python-ase-3.6.0.2515/ase/gui/view.py0000644000175400017540000007045711715550644016105 0ustar askhlaskhl#!/usr/bin/env python # Emacs: treat this as -*- python -*- import os import gtk import tempfile from math import cos, sin, sqrt, atan from os.path import basename import numpy as np from ase.data.colors import jmol_colors from ase.gui.repeat import Repeat from ase.gui.rotate import Rotate from ase.gui.render import Render from ase.gui.colors import ColorWindow from ase.utils import rotate class View: def __init__(self, vbox, rotations): self.colormode = 'jmol' # The default colors self.nselected = 0 self.light_green_markings = 0 self.axes = rotate(rotations) # this is a hack, in order to be able to toggle menu actions off/on # without getting into an infinte loop self.menu_change = 0 self.atoms_to_rotate = None self.drawing_area = gtk.DrawingArea() self.drawing_area.set_size_request(450, 450) self.drawing_area.connect('button_press_event', self.press) self.drawing_area.connect('button_release_event', self.release) self.drawing_area.connect('motion-notify-event', self.move) # Signals used to handle backing pixmap: self.drawing_area.connect('expose_event', self.expose_event) self.drawing_area.connect('configure_event', self.configure_event) self.drawing_area.set_events(gtk.gdk.BUTTON_PRESS_MASK | gtk.gdk.BUTTON_RELEASE_MASK | gtk.gdk.BUTTON_MOTION_MASK | gtk.gdk.POINTER_MOTION_HINT_MASK) vbox.pack_start(self.drawing_area) self.drawing_area.show() self.configured = False self.frame = None def set_coordinates(self, frame=None, focus=None): if frame is None: frame = self.frame self.make_box() self.bind(frame) n = self.images.natoms self.X = np.empty((n + len(self.B1) + len(self.bonds), 3)) #self.X[n:] = np.dot(self.B1, self.images.A[frame]) #self.B = np.dot(self.B2, self.images.A[frame]) self.set_frame(frame, focus=focus, init=True) def set_frame(self, frame=None, focus=False, init=False): if frame is None: frame = self.frame n = self.images.natoms if self.frame > self.images.nimages: self.frame = self.images.nimages - 1 if init or frame != self.frame: A = self.images.A nc = len(self.B1) nb = len(self.bonds) if init or (A[frame] != A[self.frame]).any(): self.X[n:n + nc] = np.dot(self.B1, A[frame]) self.B = np.empty((nc + nb, 3)) self.B[:nc] = np.dot(self.B2, A[frame]) if nb > 0: P = self.images.P[frame] Af = self.images.repeat[:, np.newaxis] * A[frame] a = P[self.bonds[:, 0]] b = P[self.bonds[:, 1]] + np.dot(self.bonds[:, 2:], Af) - a d = (b**2).sum(1)**0.5 r = 0.65 * self.images.r x0 = (r[self.bonds[:, 0]] / d).reshape((-1, 1)) x1 = (r[self.bonds[:, 1]] / d).reshape((-1, 1)) self.X[n + nc:] = a + b * x0 b *= 1.0 - x0 - x1 b[self.bonds[:, 2:].any(1)] *= 0.5 self.B[nc:] = self.X[n + nc:] + b filenames = self.images.filenames filename = filenames[frame] if self.frame is None or filename != filenames[self.frame] or filename is None: if filename is None: filename = 'ase.gui' filename = basename(filename) self.window.set_title(filename) self.frame = frame self.X[:n] = self.images.P[frame] self.R = self.X[:n] if focus: self.focus() else: self.draw() def set_colors(self): self.colormode = 'jmol' self.set_jmol_colors() def set_jmol_colors(self): self.colors = [None] * (len(jmol_colors) + 1) self.colordata = [] new = self.drawing_area.window.new_gc alloc = self.colormap.alloc_color for z in self.images.Z: if self.colors[z] is None: c, p, k = jmol_colors[z] self.colors[z] = new(alloc(int(65535 * c), int(65535 * p), int(65535 * k))) hasfound = {} for z in self.images.Z: if z not in hasfound: hasfound[z] = True self.colordata.append([z, jmol_colors[z]]) def plot_cell(self): V = self.images.A[0] R1 = [] R2 = [] for c in range(3): v = V[c] d = sqrt(np.dot(v, v)) n = max(2, int(d / 0.3)) h = v / (2 * n - 1) R = np.arange(n)[:, None] * (2 * h) for i, j in [(0, 0), (0, 1), (1, 0), (1, 1)]: R1.append(R + i * V[(c + 1) % 3] + j * V[(c + 2) % 3]) R2.append(R1[-1] + h) return np.concatenate(R1), np.concatenate(R2) def make_box(self): if not self.ui.get_widget('/MenuBar/ViewMenu/ShowUnitCell' ).get_active(): self.B1 = self.B2 = np.zeros((0, 3)) return V = self.images.A[0] nn = [] for c in range(3): v = V[c] d = sqrt(np.dot(v, v)) n = max(2, int(d / 0.3)) nn.append(n) self.B1 = np.zeros((2, 2, sum(nn), 3)) self.B2 = np.zeros((2, 2, sum(nn), 3)) n1 = 0 for c, n in enumerate(nn): n2 = n1 + n h = 1.0 / (2 * n - 1) R = np.arange(n) * (2 * h) for i, j in [(0, 0), (0, 1), (1, 0), (1, 1)]: self.B1[i, j, n1:n2, c] = R self.B1[i, j, n1:n2, (c + 1) % 3] = i self.B1[i, j, n1:n2, (c + 2) % 3] = j self.B2[:, :, n1:n2] = self.B1[:, :, n1:n2] self.B2[:, :, n1:n2, c] += h n1 = n2 self.B1.shape = (-1, 3) self.B2.shape = (-1, 3) def bind(self, frame): if not self.ui.get_widget('/MenuBar/ViewMenu/ShowBonds' ).get_active(): self.bonds = np.empty((0, 5), int) return from ase.atoms import Atoms from ase.calculators.neighborlist import NeighborList nl = NeighborList(self.images.r * 1.5, skin=0, self_interaction=False) nl.update(Atoms(positions=self.images.P[frame], cell=(self.images.repeat[:, np.newaxis] * self.images.A[frame]), pbc=self.images.pbc)) nb = nl.nneighbors + nl.npbcneighbors self.bonds = np.empty((nb, 5), int) if nb == 0: return n1 = 0 for a in range(self.images.natoms): indices, offsets = nl.get_neighbors(a) n2 = n1 + len(indices) self.bonds[n1:n2, 0] = a self.bonds[n1:n2, 1] = indices self.bonds[n1:n2, 2:] = offsets n1 = n2 i = self.bonds[:n2, 2:].any(1) self.bonds[n2:, 0] = self.bonds[i, 1] self.bonds[n2:, 1] = self.bonds[i, 0] self.bonds[n2:, 2:] = -self.bonds[i, 2:] def toggle_show_unit_cell(self, action): self.set_coordinates() def reset_tools_modes(self): dummy = self.menu_change self.menu_change = 1 self.atoms_to_rotate = None for c_mode in ['Rotate', 'Orient', 'Move']: self.ui.get_widget('/MenuBar/ToolsMenu/%sAtoms' % c_mode).set_active(False) self.light_green_markings = 0 self.menu_change = 0 self.draw() def toggle_mode(self, mode): self.menu_change = 1 i_sum = 0 for c_mode in ['Rotate', 'Orient', 'Move']: i_sum += self.ui.get_widget('/MenuBar/ToolsMenu/%sAtoms' % c_mode).get_active() if i_sum == 0 or (i_sum == 1 and sum(self.images.selected) == 0): self.reset_tools_modes() return() if i_sum == 2: try: self.images.selected = self.atoms_to_rotate_0.copy() except: self.atoms_to_rotate_0 = self.images.selected.copy() if i_sum == 1: self.atoms_to_rotate_0 = self.images.selected.copy() for c_mode in ['Rotate', 'Orient', 'Move']: if c_mode != mode: self.ui.get_widget('/MenuBar/ToolsMenu/%sAtoms' % c_mode).set_active(False) if self.ui.get_widget('/MenuBar/ToolsMenu/%sAtoms' % mode).get_active(): self.atoms_to_rotate_0 = self.images.selected.copy() for i in range(len(self.images.selected)): self.images.selected[i] = False self.light_green_markings = 1 else: try: atr = self.atoms_to_rotate_0 for i in range(len(self.images.selected)): self.images.selected[i] = atr[i] except: pass self.menu_change = 0 self.draw() def toggle_move_mode(self, action): """ Toggles the move mode, where the selected atoms can be moved with the arrow keys and pg up/dn. If the shift key is pressed, the movement will be reduced. The movement will be relative to the current rotation of the coordinate system. The implementation of the move mode is found in the gui.scroll """ if not (self.menu_change): self.toggle_mode('Move') def toggle_rotate_mode(self, action): """ Toggles the rotate mode, where the selected atoms can be rotated with the arrow keys and pg up/dn. If the shift key is pressed, the rotation angle will be reduced. The atoms to be rotated will be marked with light green - and the COM of the selected atoms will be used as the COM of the rotation. This can be changed while rotating the selected atoms. If only two atoms are seleceted, and the number of atoms to be rotated is different from two, the selected atoms will define the axis of rotation. The implementation of the rotate mode is found in the gui.scroll """ if not (self.menu_change): self.toggle_mode('Rotate') def toggle_orient_mode(self, action): """ Toggle the orientation mode - the orientation of the atoms will be changed according to the arrow keys selected. If nothing is selected, standard directions are x, y and z if two atoms are selected, the standard directions are along their displacement vector if three atoms are selected, the orientation is changed according to the normal of these three vectors. """ if not (self.menu_change): self.toggle_mode('Orient') self.orient_normal = np.array([1.0, 0.0, 0.0]) sel_pos = [] for i, j in enumerate(self.atoms_to_rotate_0): if j: sel_pos.append(self.R[i]) if len(sel_pos) == 2: self.orient_normal = sel_pos[0] - sel_pos[1] if len(sel_pos) == 3: v1 = sel_pos[1] - sel_pos[0] v2 = sel_pos[1] - sel_pos[2] self.orient_normal = np.cross(v1, v2) self.orient_normal /= sum(self.orient_normal ** 2) ** 0.5 def toggle_show_axes(self, action): self.draw() def toggle_show_bonds(self, action): self.set_coordinates() def repeat_window(self, menuitem): self.reset_tools_modes() Repeat(self) def rotate_window(self, menuitem): Rotate(self) def colors_window(self, menuitem): ColorWindow(self) def focus(self, x=None): if (self.images.natoms == 0 and not self.ui.get_widget('/MenuBar/ViewMenu/ShowUnitCell').get_active()): self.scale = 1.0 self.center = np.zeros(3) self.draw() return P = np.dot(self.X, self.axes) n = self.images.natoms P[:n] -= self.images.r[:, None] P1 = P.min(0) P[:n] += 2 * self.images.r[:, None] P2 = P.max(0) self.center = np.dot(self.axes, (P1 + P2) / 2) S = 1.3 * (P2 - P1) if S[0] * self.height < S[1] * self.width: self.scale = self.height / S[1] else: self.scale = self.width / S[0] self.draw() def reset_view(self, menuitem): self.axes = rotate('0.0x,0.0y,0.0z') self.set_coordinates() self.focus(self) def get_colors(self, rgb = False): Z = self.images.Z if rgb: # create a shape that is equivalent to self.colors, # but contains rgb data instead gtk.gdk.GCX11 objects colarray = [None] * max(len(jmol_colors)+1,len(self.colordata)) for z, c in self.colordata: colarray[z] = c else: colarray = self.colors if self.colormode == 'jmol' or self.colormode == 'atno': colors = np.array(colarray)[Z] elif self.colormode == 'tags': colors = np.array(colarray)[self.images.T[self.frame]] elif self.colormode == 'force': F = self.images.F[self.frame] F = np.sqrt(((F*self.images.dynamic[:,np.newaxis])**2).sum(axis=-1)) # The absolute force nF = (F - self.colormode_force_data[0]) * self.colormode_force_data[1] nF = np.clip(nF.astype(int), 0, len(self.colors)-1) colors = np.array(colarray)[nF] elif self.colormode == 'velocity': V = self.images.V[self.frame] V = np.sqrt((V*V).sum(axis=-1)) # The absolute velocity nV = (V - self.colormode_velocity_data[0]) * self.colormode_velocity_data[1] nV = np.clip(nV.astype(int), 0, len(self.colors)-1) colors = np.array(colarray)[nV] elif self.colormode == 'manual': colors = colarray elif self.colormode == 'same': colors = [colarray[0]] * self.images.natoms else: raise RuntimeError('Unknown color mode: %s' % (self.colormode,)) return colors def repeat_colors(self, repeat): natoms = self.images.natoms if self.colormode == 'manual': a0 = 0 colors = self.colors colordata = self.colordata for i0 in range(repeat[0]): for i1 in range(repeat[1]): for i2 in range(repeat[2]): a1 = a0 + natoms colors[a0:a1] = self.colors[:natoms] colordata[a0:a1] = self.colordata[:natoms] a0 = a1 self.colors = colors self.colordata = colordata def my_arc(self, gc, fill, j, X, r, n, A): if self.images.shapes is not None: rx = (self.images.shapes[j, 0]).round().astype(int) ry = (self.images.shapes[j, 1]).round().astype(int) rz = (self.images.shapes[j, 2]).round().astype(int) circle = rx == ry and ry == rz else: circle = True if not circle: Q = self.images.Q[j] X2d = np.array([X[j][0], X[j][1]]) Ellipsoid = np.array([[1. / (rx*rx), 0, 0], [0, 1. / (ry*ry), 0], [0, 0, 1. / (rz*rz)] ]) # Ellipsoid rotatet by quaternion as Matrix X' = R X R_transpose El_r = np.dot(Q.rotation_matrix(), np.dot(Ellipsoid, np.transpose(Q.rotation_matrix()))) # Ellipsoid rotated by quaternion and axes as # Matrix X' = R_axes X' R_axes El_v = np.dot(np.transpose(self.axes), np.dot(El_r, self.axes)) # Projection of rotatet ellipsoid on xy plane El_p = Ell = np.array([ [El_v[0][0] - El_v[0][2] * El_v[0][2] / El_v[2][2], El_v[0][1] - El_v[0][2] * El_v[1][2] / El_v[2][2]], [El_v[0][1] - El_v[0][2] * El_v[1][2] / El_v[2][2], El_v[1][1] - El_v[1][2] * El_v[1][2] / El_v[2][2]] ]) # diagonal matrix der Ellipse gibt halbachsen El_p_diag = np.linalg.eig(El_p) # Winkel mit dem Ellipse in xy gedreht ist aus # eigenvektor der diagonal matrix phi = atan(El_p_diag[1][0][1] / El_p_diag[1][0][0]) tupl = [] alpha = np.array(range(20)) *2* np.pi /20 El_xy = np.array([sqrt(1. / (El_p_diag[0][0])) * np.cos(alpha)*np.cos(phi) - sqrt(1./(El_p_diag[0][1])) * np.sin(alpha) * np.sin(phi), sqrt(1./(El_p_diag[0][0])) * np.cos(alpha)*np.sin(phi) + sqrt(1./(El_p_diag[0][1])) * np.sin(alpha) * np.cos(phi)]) tupl = (El_xy.transpose() * self.scale + X[j][:2]).round().astype(int) # XXX there must be a better way tupl = [tuple(i) for i in tupl] return self.pixmap.draw_polygon( gc, fill, tupl) dx = dy = (2 * r).round().astype(int) rj = dx[j] return self.pixmap.draw_arc(gc, fill, A[j, 0], A[j, 1], rj, rj, 0, 23040) def draw(self, status=True): self.pixmap.draw_rectangle(self.white_gc, True, 0, 0, self.width, self.height) axes = self.scale * self.axes * (1, -1, 1) offset = (np.dot(self.center, axes) - (0.5 * self.width, 0.5 * self.height, 0)) X = np.dot(self.X, axes) - offset n = self.images.natoms self.indices = X[:, 2].argsort() if self.ui.get_widget('/MenuBar/ViewMenu/ShowBonds').get_active(): r = self.images.r * (0.65 * self.scale) else: r = self.images.r * self.scale P = self.P = X[:n, :2] A = (P - r[:, None]).round().astype(int) X1 = X[n:, :2].round().astype(int) X2 = (np.dot(self.B, axes) - offset).round().astype(int) d = (2 * r).round().astype(int) selected_gc = self.selected_gc colors = self.get_colors() arc = self.pixmap.draw_arc line = self.pixmap.draw_line black_gc = self.black_gc dynamic = self.images.dynamic selected = self.images.selected visible = self.images.visible for a in self.indices: if a < n: ra = d[a] if visible[a]: self.my_arc(colors[a], True, a, X, r, n, A) if self.light_green_markings and self.atoms_to_rotate_0[a]: arc(self.green, False, A[a, 0] + 2, A[a, 1] + 2, ra - 4, ra - 4, 0, 23040) if not dynamic[a]: R1 = int(0.14644 * ra) R2 = int(0.85355 * ra) line(black_gc, A[a, 0] + R1, A[a, 1] + R1, A[a, 0] + R2, A[a, 1] + R2) line(black_gc, A[a, 0] + R2, A[a, 1] + R1, A[a, 0] + R1, A[a, 1] + R2) if selected[a]: self.my_arc(selected_gc, False, a, X, r, n, A) elif visible[a]: self.my_arc(black_gc, False, a, X, r, n, A) else: a -= n line(black_gc, X1[a, 0], X1[a, 1], X2[a, 0], X2[a, 1]) if self.ui.get_widget('/MenuBar/ViewMenu/ShowAxes').get_active(): self.draw_axes() if self.images.nimages > 1: self.draw_frame_number() self.drawing_area.window.draw_drawable(self.white_gc, self.pixmap, 0, 0, 0, 0, self.width, self.height) if status: self.status() def draw_axes(self): from ase.quaternions import Quaternion q = Quaternion().from_matrix(self.axes) L = np.zeros((10, 2, 3)) L[:3, 1] = self.axes * 15 L[3:5] = self.axes[0] * 20 L[5:7] = self.axes[1] * 20 L[7:] = self.axes[2] * 20 L[3:, :, :2] += (((-4, -5), (4, 5)), ((-4, 5), ( 4, -5)), ((-4, 5), (0, 0)), ((-4, -5), ( 4, 5)), ((-4, 5), (4, 5)), (( 4, 5), (-4, -5)), ((-4, -5), (4, -5))) L = L.round().astype(int) L[:, :, 0] += 20 L[:, :, 1] = self.height - 20 - L[:, :, 1] line = self.pixmap.draw_line colors = ([self.black_gc] * 3 + [self.red] * 2 + [self.green] * 2 + [self.blue] * 3) for i in L[:, 1, 2].argsort(): (a, b), (c, d) = L[i, :, :2] line(colors[i], a, b, c, d) digits = np.array(((1, 1, 1, 1, 1, 1, 0), (0, 1, 1, 0, 0, 0, 0), (1, 0, 1, 1, 0, 1, 1), (1, 1, 1, 1, 0, 0, 1), (0, 1, 1, 0, 1, 0, 1), (1, 1, 0, 1, 1, 0, 1), (1, 1, 0, 1, 1, 1, 1), (0, 1, 1, 1, 0, 0, 0), (1, 1, 1, 1, 1, 1, 1), (0, 1, 1, 1, 1, 0, 1)), bool) bars = np.array(((0, 2, 1, 2), (1, 2, 1, 1), (1, 1, 1, 0), (1, 0, 0, 0), (0, 0, 0, 1), (0, 1, 0, 2), (0, 1, 1, 1))) * 5 def draw_frame_number(self): n = str(self.frame) x = self.width - 3 - 8 * len(n) y = self.height - 27 color = self.black_gc line = self.pixmap.draw_line for c in n: bars = View.bars[View.digits[int(c)]] for a, b, c, d in bars: line(color, a + x, b + y, c + x, d + y) x += 8 def release(self, drawing_area, event): if event.button != 1: return selected = self.images.selected selected_ordered = self.images.selected_ordered if event.time < self.t0 + 200: # 200 ms d = self.P - self.xy hit = np.less((d**2).sum(1), (self.scale * self.images.r)**2) for a in self.indices[::-1]: if a < self.images.natoms and hit[a]: if event.state & gtk.gdk.CONTROL_MASK: selected[a] = not selected[a] if selected[a]: selected_ordered += [a] elif len(selected_ordered) > 0: if selected_ordered[-1] == a: selected_ordered = selected_ordered[:-1] else: selected_ordered = [] else: selected[:] = False selected[a] = True selected_ordered = [a] break else: selected[:] = False selected_ordered = [] self.draw() else: A = (event.x, event.y) C1 = np.minimum(A, self.xy) C2 = np.maximum(A, self.xy) hit = np.logical_and(self.P > C1, self.P < C2) indices = np.compress(hit.prod(1), np.arange(len(hit))) if not (event.state & gtk.gdk.CONTROL_MASK): selected[:] = False selected[indices] = True if len(indices) == 1 and indices[0] not in self.images.selected_ordered: selected_ordered += [indices[0]] elif len(indices) > 1: selected_ordered = [] self.draw() indices = np.arange(self.images.natoms)[self.images.selected] if len(indices) != len(selected_ordered): selected_ordered = [] self.images.selected_ordered = selected_ordered def press(self, drawing_area, event): self.button = event.button self.xy = (event.x, event.y) self.t0 = event.time self.axes0 = self.axes self.center0 = self.center def move(self, drawing_area, event): x, y, state = event.window.get_pointer() x0, y0 = self.xy if self.button == 1: window = self.drawing_area.window window.draw_drawable(self.white_gc, self.pixmap, 0, 0, 0, 0, self.width, self.height) x0 = int(round(x0)) y0 = int(round(y0)) window.draw_rectangle(self.selected_gc, False, min(x, x0), min(y, y0), abs(x - x0), abs(y - y0)) return if self.button == 2: return if state & gtk.gdk.SHIFT_MASK: self.center = (self.center0 - np.dot(self.axes, (x - x0, y0 - y, 0)) / self.scale) else: # Snap mode: the a-b angle and t should multipla of 15 degrees ??? a = x - x0 b = y0 - y t = sqrt(a * a + b * b) if t > 0: a /= t b /= t else: a = 1.0 b = 0.0 c = cos(0.01 * t) s = -sin(0.01 * t) rotation = np.array([(c * a * a + b * b, (c - 1) * b * a, s * a), ((c - 1) * a * b, c * b * b + a * a, s * b), (-s * a, -s * b, c)]) self.axes = np.dot(self.axes0, rotation) if self.images.natoms > 0: com = self.X[:self.images.natoms].mean(0) else: com = self.images.A[self.frame].mean(0) self.center = com - np.dot(com - self.center0, np.dot(self.axes0, self.axes.T)) self.draw(status=False) # Create a new backing pixmap of the appropriate size def configure_event(self, drawing_area, event): if self.configured: w = self.width h = self.height else: self.colormap = self.drawing_area.get_colormap() self.black_gc = self.drawing_area.get_style().black_gc self.white_gc = self.drawing_area.get_style().white_gc self.red = self.drawing_area.window.new_gc( self.colormap.alloc_color(62345, 0, 0), line_width=2) self.green = self.drawing_area.window.new_gc( self.colormap.alloc_color(0, 54456, 0), line_width=2) self.blue = self.drawing_area.window.new_gc( self.colormap.alloc_color(0, 0, 54456), line_width=2) self.selected_gc = self.drawing_area.window.new_gc( self.colormap.alloc_color(0, 16456, 0), line_width=3) x, y, self.width, self.height = drawing_area.get_allocation() self.pixmap = gtk.gdk.Pixmap(drawing_area.window, self.width, self.height) if self.configured: self.scale *= sqrt(1.0 * self.width * self.height / (w * h)) self.draw() self.configured = True # Redraw the screen from the backing pixmap def expose_event(self, drawing_area, event): x , y, width, height = event.area gc = self.white_gc drawing_area.window.draw_drawable(gc, self.pixmap, x, y, x, y, width, height) def external_viewer(self, action): name = action.get_name() command = {'Avogadro' : 'avogadro', 'XMakeMol': 'xmakemol -f', 'RasMol':'rasmol -xyz', 'VMD': 'vmd'}[name] fd, filename = tempfile.mkstemp('.xyz', 'ase.gui-') os.close(fd) self.images.write(filename) os.system('(%s %s &); (sleep 60; rm %s) &' % (command, filename, filename)) def render_window(self, action): Render(self) python-ase-3.6.0.2515/ase/gui/widgets.py0000644000175400017540000001246111706276516016573 0ustar askhlaskhlfrom gettext import gettext as _ import gtk class Number(gtk.SpinButton): def __init__(self, value=0, lower=0, upper=10000, step_incr=1, page_incr=10, climb_rate=0.5, digits=0): self.adj = gtk.Adjustment(value, lower, upper, step_incr, page_incr, 0) gtk.SpinButton.__init__(self, self.adj, climb_rate, digits) def connect(self, *args): return self.adj.connect(*args) class Menu: def __init__(self, menubar, name, items): self.items = {} menu = gtk.Menu() for data in items: text = data[0] callback = data[1] args = data[2:] menuitem = gtk.MenuItem(text) menu.append(menuitem) menuitem.connect('activate', callback, *args) menuitem.show() self.items[text] = menuitem menuitem = gtk.MenuItem(name) menubar.append(menuitem) menuitem.set_submenu(menu) menuitem.show() class Help(gtk.Window): __instance = None def __new__(cls, *args, **kwargs): # Make this a singleton. if Help.__instance is None: Help.__instance = gtk.Window.__new__(cls, *args, **kwargs) return Help.__instance def __init__(self, text): # Now, __init__ may be called multiple times! if not hasattr(self, '_initialized'): self.initialize(text) else: self.set_text(text) self.present() # Show the window. def initialize(self, text): gtk.Window.__init__(self) self.set_title(_("Help")) self._initialized = True vbox = gtk.VBox() self.add(vbox) self.label = pack(vbox, gtk.Label()) self.label.set_line_wrap(True) self.set_text(text) close = gtk.Button(_('Close')) pack(vbox, [close]) close.connect('clicked', self.destroy) self.connect("delete-event", self.destroy) self.show_all() def set_text(self, text): # Count line length linelen = max([len(x) for x in text.split('\n')]) text = text.replace('', '') text = text.replace('', '') self.label.set_width_chars(linelen) self.label.set_line_wrap(False) self.label.set_markup(text) def destroy(self, *args): self.hide() return True # Prevents destruction of the window. def help(text): button = gtk.Button(_('Help')) button.connect('clicked', lambda widget, text=text: Help(text)) return button class Window(gtk.Window): def __init__(self, gui): self.gui = gui gtk.Window.__init__(self) self.set_title(_('Constraints')) vbox = gtk.VBox() b = pack(vbox, [gtk.Button(_('Constrain')), gtk.Label(_(' selected atoms'))])[0] b.connect('clicked', self.selected) b = pack(vbox, [gtk.Button(_('Constrain')), gtk.Label(_(' immobile atoms:'))])[0] b.connect('clicked', self.immobile) b = pack(vbox, gtk.Button(_('Clear constraint'))) b.connect('clicked', self.clear) close = pack(vbox, gtk.Button(_('Close'))) close.connect('clicked', lambda widget: self.destroy()) self.add(vbox) vbox.show() self.show() def pack(vbox, widgets, end=False, bottom=False, expand=False, padding=0): if not isinstance(widgets, list): widgets.show() if bottom: vbox.pack_end(widgets, expand, expand, padding) else: vbox.pack_start(widgets, expand, expand, padding) return widgets hbox = gtk.HBox(0, 0) hbox.show() if bottom: vbox.pack_end(hbox, expand, expand, padding) else: vbox.pack_start(hbox, expand, expand, padding) for widget in widgets: if type(widget) is gtk.Entry: widget.set_size_request(widget.get_max_length() * 9, 24) widget.show() if end and widget is widgets[-1]: hbox.pack_end(widget, expand, expand, padding) else: hbox.pack_start(widget, expand, expand, padding) return widgets class cancel_apply_ok(gtk.HButtonBox): "Widget with Cancel, Apply and OK buttons. The arguments are callbacks." def __init__(self, cancel, apply, ok): gtk.HButtonBox.__init__(self) cancel_but = gtk.Button(stock=gtk.STOCK_CANCEL) cancel_but.connect('clicked', cancel) apply_but = gtk.Button(stock=gtk.STOCK_APPLY) apply_but.connect('clicked', apply) ok_but = gtk.Button(stock=gtk.STOCK_OK) ok_but.connect('clicked', ok) for w in (cancel_but, apply_but, ok_but): self.pack_start(w, 0, 0) w.show() #self.show_all() def oops(message, message2=None): dialog = gtk.MessageDialog(flags=gtk.DIALOG_MODAL, type=gtk.MESSAGE_WARNING, buttons=gtk.BUTTONS_CLOSE, message_format=message) try: dialog.format_secondary_text(message2) except AttributeError: print >>sys.stderr, message print >>sys.stderr, message2 dialog.connect('response', lambda x, y, dialog=dialog: dialog.destroy()) dialog.show() class AseGuiCancelException(Exception): pass python-ase-3.6.0.2515/ase/gui/defaults.py0000644000175400017540000000112611546636754016736 0ustar askhlaskhl""" This is a module to handle generic ASE (gui) defaults from a ~/.ase/gui.py configuration file, if it exists. It is imported when opening ag and can then be modified at runtime, if necessary. syntax for each entry: gui_default_settings['key'] = value """ gui_default_settings = { 'gui_graphs_string' : 'i, e - E[-1]', # default for the graph command in the gui 'covalent_radii' : None } def read_defaults(): import os.path name = os.path.expanduser('~/.ase/gui.py') config = gui_default_settings if os.path.exists(name): execfile(name) return config python-ase-3.6.0.2515/ase/gui/settings.py0000644000175400017540000000644111706276516016766 0ustar askhlaskhl#!/usr/bin/env python import gtk from ase.gui.widgets import pack from gettext import gettext as _ class Settings(gtk.Window): def __init__(self, gui): gtk.Window.__init__(self) self.set_title('Settings') self.gui = gui vbox = gtk.VBox() # Constraints a = pack(vbox, gtk.Label()) a.set_markup('' '%s' % _('Constraints:')) a, b = pack(vbox, [gtk.Button(_('Constrain')), gtk.Label('/'), gtk.Button(_('release')), gtk.Label(_(' selected atoms'))])[::2] a.connect('clicked', self.constrain_selected) b.connect('clicked', self.release_selected) a = pack(vbox, gtk.Button(_('Constrain immobile atoms'))) a.connect('clicked', self.immobile) a = pack(vbox, gtk.Button(_('Clear all constraints'))) a.connect('clicked', self.clear_constraints) # Visibility a = pack(vbox, gtk.Label()) a.set_markup('\n' '%s' % _('Visibility:')) a, b = pack(vbox, [gtk.Button(_('Hide')), gtk.Label('/'), gtk.Button(_('show')), gtk.Label(_(' selected atoms'))])[::2] a.connect('clicked', self.hide_selected) b.connect('clicked', self.show_selected) a = pack(vbox, gtk.Button(_('View all atoms'))) a.connect('clicked', self.view_all) # Miscellaneous a = pack(vbox, gtk.Label()) a.set_markup('\n' '%s' % _('Miscellaneous:')) self.scale = gtk.Adjustment(value=.89, lower=0.2, upper=2.0, step_incr=0.1, page_incr=0.5) pack(vbox, [gtk.Label(_('Scale atomic radii:')), gtk.SpinButton(self.scale, climb_rate=0, digits=2)]) self.scale.connect('value-changed', self.scale_radii) # A close button pack(vbox, gtk.Label(_('\n'))) close = pack(vbox, gtk.Button(_('Close'))) close.connect('clicked', lambda widget: self.destroy()) # Add elements and show frame self.add(vbox) vbox.show() self.show() def scale_radii(self, adjustment): self.gui.images.set_radii(float(self.scale.value)) self.gui.draw() return True def hide_selected(self, button): self.gui.images.visible[self.gui.images.selected] = False self.gui.draw() def show_selected(self, button): self.gui.images.visible[self.gui.images.selected] = True self.gui.draw() def view_all(self, button): self.gui.images.visible[:] = True self.gui.draw() def constrain_selected(self, button): self.gui.images.dynamic[self.gui.images.selected] = False self.gui.draw() def release_selected(self, button): self.gui.images.dynamic[self.gui.images.selected] = True self.gui.draw() def immobile(self, button): self.gui.images.set_dynamic() self.gui.draw() def clear_constraints(self, button): self.gui.images.dynamic[:] = True self.gui.draw() python-ase-3.6.0.2515/ase/gui/nanotube.py0000644000175400017540000001171611716573517016744 0ustar askhlaskhl# encoding: utf-8 """nanotube.py - Window for setting up Carbon nanotubes and similar tubes. """ import gtk from gettext import gettext as _ from ase.gui.widgets import pack, cancel_apply_ok, oops from ase.gui.setupwindow import SetupWindow from ase.gui.pybutton import PyButton from ase.structure import nanotube import ase import numpy as np introtext = _("""\ Set up a Carbon nanotube by specifying the (n,m) roll-up vector. Please note that m <= n. Nanotubes of other elements can be made by specifying the element and bond length.\ """) py_template = """ from ase.structure import nanotube atoms = nanotube(%(n)i, %(m)i, length=%(length)i, bond=%(bl).3f, symbol='%(symb)s') """ class SetupNanotube(SetupWindow): "Window for setting up a (Carbon) nanotube." def __init__(self, gui): SetupWindow.__init__(self) self.set_title(_("Nanotube")) vbox = gtk.VBox() # Intoductory text self.packtext(vbox, introtext) # Choose the element and bond length label1 = gtk.Label(_("Element: ")) #label.set_alignment(0.0, 0.2) self.element = gtk.Entry(max=3) self.element.set_text("C") self.element.connect('activate', self.update_element) self.bondlength = gtk.Adjustment(1.42, 0.0, 1000.0, 0.01) label2 = gtk.Label(_(" Bond length: ")) label3 = gtk.Label(_("Ã…")) bond_box = gtk.SpinButton(self.bondlength, 10.0, 3) pack(vbox, [label1, self.element, label2, bond_box, label3]) self.elementinfo = gtk.Label("") self.elementinfo.modify_fg(gtk.STATE_NORMAL, gtk.gdk.color_parse('#FF0000')) pack(vbox, [self.elementinfo]) pack(vbox, gtk.Label("")) # Choose the structure. pack(vbox, [gtk.Label(_("Select roll-up vector (n,m) " "and tube length:"))]) label1 = gtk.Label("n: ") label2 = gtk.Label(" m: ") self.n = gtk.Adjustment(5, 1, 100, 1) self.m = gtk.Adjustment(5, 0, 100, 1) spinn = gtk.SpinButton(self.n, 0, 0) spinm = gtk.SpinButton(self.m, 0, 0) label3 = gtk.Label(_(" Length: ")) self.length = gtk.Adjustment(1, 1, 100, 1) spinl = gtk.SpinButton(self.length, 0, 0) pack(vbox, [label1, spinn, label2, spinm, label3, spinl]) self.err = gtk.Label("") self.err.modify_fg(gtk.STATE_NORMAL, gtk.gdk.color_parse('#FF0000')) pack(vbox, [self.err]) pack(vbox, gtk.Label("")) # Buttons self.pybut = PyButton(_("Creating a nanoparticle.")) self.pybut.connect('clicked', self.makeatoms) buts = cancel_apply_ok(cancel=lambda widget: self.destroy(), apply=self.apply, ok=self.ok) pack(vbox, [self.pybut, buts], end=True, bottom=True) # Finalize setup self.add(vbox) vbox.show() self.show() self.gui = gui def update_element(self, *args): "Called when a new element may have been entered." # Assumes the element widget is self.element and that a label # for errors is self.elementinfo. The chemical symbol is # placed in self.legalelement - or None if the element is # invalid. elem = self.element.get_text() if not elem: self.invalid_element(_(" No element specified!")) return False try: z = int(elem) except ValueError: # Probably a symbol try: z = ase.data.atomic_numbers[elem] except KeyError: self.invalid_element() return False try: symb = ase.data.chemical_symbols[z] except KeyError: self.invalid_element() return False self.elementinfo.set_text("") self.legal_element = symb return True def makeatoms(self, *args): self.update_element() if self.legal_element is None: self.atoms = None self.pybut.python = None else: n = int(self.n.value) m = int(self.m.value) symb = self.legal_element length = int(self.length.value) bl = self.bondlength.value self.atoms = nanotube(n, m, length=length, bond=bl, symbol=symb) # XXX can this be translated? self.pybut.python = py_template % {'n': n, 'm':m, 'length':length, 'symb':symb, 'bl':bl} def apply(self, *args): self.makeatoms() if self.atoms is not None: self.gui.new_atoms(self.atoms) return True else: oops(_("No valid atoms."), _("You have not (yet) specified a consistent " "set of parameters.")) return False def ok(self, *args): if self.apply(): self.destroy() python-ase-3.6.0.2515/ase/gui/energyforces.py0000644000175400017540000000653511711330540017605 0ustar askhlaskhl# encoding: utf-8 "Module for calculating energies and forces." import gtk from gettext import gettext as _ from ase.gui.simulation import Simulation from ase.gui.widgets import oops, pack class OutputFieldMixin: def makeoutputfield(self, box, label=_("Output:"), heading = None): frame = gtk.Frame(label) if box is not None: box.pack_start(frame, True, True, 0) box2 = gtk.VBox() frame.add(box2) if heading is not None: pack(box2, [gtk.Label(heading)]) #pack(box, [gtk.Label("Output:")]) scrwin = gtk.ScrolledWindow() scrwin.set_policy(gtk.POLICY_AUTOMATIC, gtk.POLICY_AUTOMATIC) self.output = gtk.TextBuffer() txtview = gtk.TextView(self.output) txtview.set_editable(False) scrwin.add(txtview) scrwin.show_all() box2.pack_start(scrwin, True, True, 0) self.savebutton = gtk.Button(stock=gtk.STOCK_SAVE) self.savebutton.connect('clicked', self.saveoutput) self.savebutton.set_sensitive(False) pack(box2, [self.savebutton]) box2.show() frame.show() return frame def activate_output(self): self.savebutton.set_sensitive(True) def saveoutput(self, widget): chooser = gtk.FileChooserDialog( _('Save output'), None, gtk.FILE_CHOOSER_ACTION_SAVE, (gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_SAVE, gtk.RESPONSE_OK)) ok = chooser.run() if ok == gtk.RESPONSE_OK: filename = chooser.get_filename() txt = self.output.get_text(self.output.get_start_iter(), self.output.get_end_iter()) f = open(filename, "w") f.write(txt) f.close() chooser.destroy() class EnergyForces(Simulation, OutputFieldMixin): def __init__(self, gui): Simulation.__init__(self, gui) self.set_title(_("Potential energy and forces")) self.set_default_size(-1, 400) vbox = gtk.VBox() self.packtext(vbox, _("Calculate potential energy and the force on all " "atoms")) self.packimageselection(vbox) pack(vbox, gtk.Label("")) self.forces = gtk.CheckButton(_("Write forces on the atoms")) self.forces.set_active(True) pack(vbox, [self.forces]) pack(vbox, [gtk.Label("")]) self.makeoutputfield(vbox) pack(vbox, gtk.Label("")) self.makebutbox(vbox) vbox.show() self.add(vbox) self.show() self.gui.register_vulnerable(self) def run(self, *args): if not self.setup_atoms(): return self.begin() e = self.atoms.get_potential_energy() txt = _("Potential Energy:\n") txt += _(" %8.2f eV\n") % (e,) txt += _(" %8.4f eV/atom\n\n") % (e/len(self.atoms),) if self.forces.get_active(): txt += _("Forces:\n") forces = self.atoms.get_forces() for f in forces: txt += " %8.3f, %8.3f, %8.3f eV/Ã…\n" % tuple(f) self.output.set_text(txt) self.activate_output() self.end() def notify_atoms_changed(self): "When atoms have changed, check for the number of images." self.setupimageselection() python-ase-3.6.0.2515/ase/gui/debug.py0000644000175400017540000000074611706276516016216 0ustar askhlaskhlimport sys import gtk from gettext import gettext as _ import numpy as np class Debug(gtk.Window): def __init__(self, gui): self.gui = gui gtk.Window.__init__(self) self.set_title(_('Debug')) entry = gtk.Entry(200) self.add(entry) entry.connect('activate', self.enter, entry) entry.show() self.show() def enter(self, widget, entry): g = self.gui print >> sys.stderr, eval(entry.get_text()) python-ase-3.6.0.2515/ase/gui/po/0000755000175400017540000000000011757245036015164 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/gui/po/da_DK/0000755000175400017540000000000011757245036016126 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/gui/po/da_DK/LC_MESSAGES/0000755000175400017540000000000011757245036017713 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/gui/po/da_DK/LC_MESSAGES/ag.po0000644000175400017540000022741011716573517020653 0ustar askhlaskhl# Danish translations for ASE package # Danske oversættelser for pakken ASE. # Copyright (C) 2011 CAMD # This file is distributed under the same license as the ASE package. # # Ask Hjorth Larsen , 2011. # msgid "" msgstr "" "Project-Id-Version: ase-3.5.2\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2012-02-01 16:08+0100\n" "PO-Revision-Date: 2012-02-15 00:54+0100\n" "Last-Translator: Ask Hjorth Larsen \n" "Language-Team: Danish \n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" "Content-Transfer-Encoding: 8bit\n" "Language: da\n" "Plural-Forms: nplurals=2; plural=(n != 1);\n" #: ../ag.py:130 msgid "" "\n" "An exception occurred! Please report the issue to\n" "ase-developers@listserv.fysik.dtu.dk - thanks! Please also report this if\n" "it was a user error, so that a better error message can be provided\n" "next time." msgstr "" "\n" "Der opstod en undtagelse! Rapportér venligst dette problem til \n" "ase-developers@listserv.fysik.dtu.dk - mange tak! Rapportér ogsÃ¥ gerne " "dette\n" "hvis det var en brugerfejl, sÃ¥ der kan gives en bedre fejlmeddelelse næste\n" "gang." #. Asap and GPAW may be imported if selected. #: ../calculator.py:18 msgid "" "To make most calculations on the atoms, a Calculator object must first\n" "be associated with it. ASE supports a number of calculators, supporting\n" "different elements, and implementing different physical models for the\n" "interatomic interactions." msgstr "" "For at kunne foretage de fleste typer atomare beregninger, skal der\n" "først tilknyttes et beregnerobject (Calculator). ASE tilbyder\n" "adskillige beregnere, som understøtter forskellige grundstoffer, og\n" "implementerer forskellige fysiske modeller for atomernes vekselvirkning." #. Informational text about the calculators #: ../calculator.py:26 msgid "" "The Lennard-Jones pair potential is one of the simplest\n" "possible models for interatomic interactions, mostly\n" "suitable for noble gasses and model systems.\n" "\n" "Interactions are described by an interaction length and an\n" "interaction strength." msgstr "" "Lennard-Jones-parpotentialet er en af de simpleste mulige modeller for\n" "atomare interaktioner, og er især nyttigt til ædelgasser og\n" "modelsystemer.\n" "\n" "Interaktionerne beskrives ved en interaktionslængde og en\n" "interaktionsstyrke." #: ../calculator.py:35 msgid "" "The EMT potential is a many-body potential, giving a\n" "good description of the late transition metals crystalling\n" "in the FCC crystal structure. The elements described by the\n" "main set of EMT parameters are Al, Ni, Cu, Pd, Ag, Pt, and\n" "Au, the Al potential is however not suitable for materials\n" "science application, as the stacking fault energy is wrong.\n" "\n" "A number of parameter sets are provided.\n" "\n" "Default parameters:\n" "\n" "The default EMT parameters, as published in K. W. Jacobsen,\n" "P. Stoltze and J. K. Nørskov, Surf. Sci. 366, 394 (1996).\n" "\n" "Alternative Cu, Ag and Au:\n" "\n" "An alternative set of parameters for Cu, Ag and Au,\n" "reoptimized to experimental data including the stacking\n" "fault energies by Torben Rasmussen (partly unpublished).\n" "\n" "Ruthenium:\n" "\n" "Parameters for Ruthenium, as published in J. Gavnholt and\n" "J. Schiøtz, Phys. Rev. B 77, 035404 (2008).\n" "\n" "Metallic glasses:\n" "\n" "Parameters for MgCu and CuZr metallic glasses. MgCu\n" "parameters are in N. P. Bailey, J. Schiøtz and\n" "K. W. Jacobsen, Phys. Rev. B 69, 144205 (2004).\n" "CuZr in A. Paduraru, A. Kenoufi, N. P. Bailey and\n" "J. Schiøtz, Adv. Eng. Mater. 9, 505 (2007).\n" msgstr "" "EMT-potentialet er et mangepartikelpotential, som giver en god\n" "beskrivelse af de sene overgangsmetaller som danner FCC-strukturer.\n" "Grundstofferne som beskrives af hoveddelen af EMT-parametrene er Al,\n" "Ni, Cu, Pd, Ag, Pt og Au. Dog er Al-potentialet ikke egnet til\n" "anvendelse i materialevidenskab, da energien for fejl i krystalstrukturen\n" "er forkert.\n" "\n" "Der medfølger en række standardparametre.\n" "\n" "Standardparametre:\n" "\n" "Standardparametrene som udgivet i K. W. Jacobsen,\n" "P. Stoltze og J. K. Nørskov, Surf. Sci. 366, 394 (1996).\n" "\n" "Alternativ Cu, Ag og Au:\n" "\n" "Et alternativt sæt parametre for Cu, Ag og Au, genoptimeret til\n" "eksperimentelle data inklusive energier for krystalfejl af Torben\n" "Rasmussen (delvis upubliceret).\n" "\n" "Ruthenium:\n" "\n" "Parametre for ruthenium som udgivet i J. Gavnholt og\n" "J. Schiøtz, Phys. Rev. B 77, 035404 (2008).\n" "\n" "Metalglas:\n" "\n" "Parametre for MgCu- og CuZr-metalglas. MgCu-parametrene findes i\n" "N. P. Bailey, J. Schiøtz anog K. W. Jacobsen, Phys. Rev. B 69, \n" "144205 (2004).\n" "CuZr findes i A. Paduraru, A. Kenoufi, N. P. Bailey og\n" "J. Schiøtz, Adv. Eng. Mater. 9, 505 (2007).\n" #: ../calculator.py:70 msgid "" "The EMT potential is a many-body potential, giving a\n" "good description of the late transition metals crystalling\n" "in the FCC crystal structure. The elements described by the\n" "main set of EMT parameters are Al, Ni, Cu, Pd, Ag, Pt, and\n" "Au. In addition, this implementation allows for the use of\n" "H, N, O and C adatoms, although the description of these is\n" "most likely not very good.\n" "\n" "This is the ASE implementation of EMT. For large\n" "simulations the ASAP implementation is more suitable; this\n" "implementation is mainly to make EMT available when ASAP is\n" "not installed.\n" msgstr "" "EMT-potentialet er et mangepartikelpotential, som giver en god\n" "beskrivelse af de sene overgangsmetaller som danner FCC-strukturer.\n" "Grundstofferne som beskrives af hoveddelen af EMT-parametrene er Al,\n" "Ni, Cu, Pd, Ag, Pt og Au. Yderligere tillader denne implementation\n" "bruben af H-, N-, O- og C-adatomer, selvom beskrivelsen af disse\n" "sandsynligvis er dÃ¥rlig.\n" "\n" "Dette er ASE's implementation af EMT. For støre simulationer er\n" "ASAP-implementationen bedre; denne implementation bruges hovedsageligt\n" "for at tilbyde en EMT-beskrivelse nÃ¥r ASAP ikke er installeret.\n" #: ../calculator.py:85 msgid "" "The Brenner potential is a reactive bond-order potential for\n" "carbon and hydrocarbons. As a bond-order potential, it takes\n" "into account that carbon orbitals can hybridize in different\n" "ways, and that carbon can form single, double and triple\n" "bonds. That the potential is reactive means that it can\n" "handle gradual changes in the bond order as chemical bonds\n" "are formed or broken.\n" "\n" "The Brenner potential is implemented in Asap, based on a\n" "C implentation published at http://www.rahul.net/pcm/brenner/ .\n" "\n" "The potential is documented here:\n" " Donald W Brenner, Olga A Shenderova, Judith A Harrison,\n" " Steven J Stuart, Boris Ni and Susan B Sinnott:\n" " \"A second-generation reactive empirical bond order (REBO)\n" " potential energy expression for hydrocarbons\",\n" " J. Phys.: Condens. Matter 14 (2002) 783-802.\n" " doi: 10.1088/0953-8984/14/4/312\n" msgstr "" "Brennerpotentialet er et reaktivt bindingsordenspotential til kulstof og " "kulbrinter. Som et bindingsordenspotential tager det højde for at " "kulstoforbitaler kan hybridisere pÃ¥ forskellige mÃ¥der, og at kulstof kan " "danne enkelt- dobbelt- og tripelbindinger. At potentialet er reaktivt " "betyder, at det kan beskrive gradvise ændringer i bindingsorden efterhÃ¥nden " "som kemiske bindinger dannes eller brydes.\n" "\n" "Brennerpotentialet er implementeret i ASAP baseret pÃ¥ en C-implementation " "publiceret pÃ¥ siden http://www.rahul.net/pcm/brenner/ .\n" "\n" "Potentialet dokumenteres her:\n" " Donald W Brenner, Olga A Shenderova, Judith A Harrison,\n" " Steven J Stuart, Boris Ni and Susan B Sinnott:\n" " \"A second-generation reactive empirical bond order (REBO)\n" " potential energy expression for hydrocarbons\",\n" " J. Phys.: Condens. Matter 14 (2002) 783-802.\n" " doi: 10.1088/0953-8984/14/4/312\n" #: ../calculator.py:107 msgid "" "GPAW implements Density Functional Theory using a\n" "Grid-based real-space representation of the wave\n" "functions, and the Projector Augmented Wave\n" "method for handling the core regions. \n" msgstr "" "GPAW implementerer tæthedsfunktionalteori med en Gitterbaseret\n" "repræsentation af bølgefunktioner i det reelle rum, samt\n" "Projector Augmented Wave-metoden til behandling\n" "af regionen omkring atomkerner. \n" #: ../calculator.py:114 msgid "" "FHI-aims is an external package implementing density \n" "functional theory and quantum chemical methods using \n" "all-electron methods and a numeric local orbital basis set. \n" "For full details, see http://www.fhi-berlin.mpg.de/aims/ \n" "or Comp. Phys. Comm. v180 2175 (2009). The ASE \n" "documentation contains information on the keywords and \n" "functionalities available within this interface. \n" msgstr "" "FHI-aims er en ekstern pakke, der implementerer tæthedsfunktionalteori\n" "og kvantekemiske metoder ved brug af \"all-electron\"-metoder og et\n" "numerisk lokaliseret atomart basissæt. De fulde detaljer kan findes pÃ¥\n" "http://www.fhi-berlin.mpg.de/aims/ eller i Comp. Phys. Comm. v180 2175\n" "(2009). ASE-dokumentationen indeholder oplysninger om nøgleord og\n" "funktioner, som er tilgængelige i denne grænseflade. \n" #: ../calculator.py:124 msgid "" "WARNING:\n" "Your system seems to have more than zero but less than \n" "three periodic dimensions. Please check that this is \n" "really what you want to compute. Assuming full \n" "3D periodicity for this calculator." msgstr "" "ADVARSEL:\n" "Dit system skal have flere end nul men mindre end tre periodiske\n" "dimensioner. Kontrollér venligst at dette virkelig er hvad du godt\n" "vil beregne. Antager fuld 3D-periodicitet for denne beregner." #: ../calculator.py:131 msgid "" "VASP is an external package implementing density \n" "functional functional theory using pseudopotentials \n" "or the projector-augmented wave method together \n" "with a plane wave basis set. For full details, see\n" "http://cms.mpi.univie.ac.at/vasp/vasp/\n" msgstr "" "VASP er en ekstern pakke, der implementerer tæthedsfunktionalteori med\n" "pseudopotentialer eller PAW-metoden (projector augmented wave method)\n" "sammen med en planbølgebasis. De fulde detaljer kan findes pÃ¥\n" "http://cms.mpi.univie.ac.at/vasp/vasp/\n" #: ../calculator.py:140 msgid "Default (Al, Ni, Cu, Pd, Ag, Pt, Au)" msgstr "Standard (Al, Ni, Cu, Pd, Ag, Pt, Au)" #: ../calculator.py:141 msgid "Alternative Cu, Ag and Au" msgstr "Alternativ Cu, Ag og Au" #: ../calculator.py:142 msgid "Ruthenium" msgstr "Ruthenium" #: ../calculator.py:143 msgid "CuMg and CuZr metallic glass" msgstr "Metallisk glas med CuMg og CuZr" #: ../calculator.py:158 msgid "Select calculator" msgstr "Vælg beregner" #: ../calculator.py:164 msgid "Calculator:" msgstr "Beregner:" #. No calculator (the default) #: ../calculator.py:167 msgid "None" msgstr "Ingen" #: ../calculator.py:172 msgid "Lennard-Jones (ASAP)" msgstr "Lennard-Jones (ASAP)" #: ../calculator.py:173 ../calculator.py:206 ../calculator.py:215 #: ../calculator.py:224 msgid "Setup" msgstr "Opsætning" #: ../calculator.py:180 msgid "EMT - Effective Medium Theory (ASAP)" msgstr "EMT - Effective Medium Theory (ASAP)" #: ../calculator.py:192 msgid "EMT - Effective Medium Theory (ASE)" msgstr "EMT - Effective Medium Theory (ASE)" #: ../calculator.py:198 msgid "Brenner Potential (ASAP)" msgstr "Brenner-potentialet (ASAP)" #: ../calculator.py:204 msgid "Density Functional Theory (GPAW)" msgstr "Tæthedsfunktionalteori (GPAW)" #: ../calculator.py:213 msgid "Density Functional Theory (FHI-aims)" msgstr "Tæthedsfunktionalteori (FHI-aims)" #: ../calculator.py:222 msgid "Density Functional Theory (VASP)" msgstr "Tæthedsfunktionalteori (VASP)" #: ../calculator.py:235 msgid "Check that the calculator is reasonable." msgstr "Kontrollér at beregneren er rimelig." #: ../calculator.py:298 ../simulation.py:114 msgid "No atoms present" msgstr "Ingen atomer til stede" #: ../calculator.py:388 ../calculator.py:422 ../calculator.py:456 msgid "ASAP is not installed. (Failed to import asap3)" msgstr "ASAP er ikke installeret. (Kunne ikke importere asap3)" #: ../calculator.py:391 msgid "You must set up the Lennard-Jones parameters" msgstr "Du skal indstille Lennard-Jones-parametrene" #: ../calculator.py:396 msgid "Could not create useful Lennard-Jones calculator." msgstr "Kunne ikke oprette en nyttig Lennard-Jones-beregner." #: ../calculator.py:430 msgid "Could not attach EMT calculator to the atoms." msgstr "Kunne ikke knytte EMT-beregner til atomerne." #: ../calculator.py:472 ../calculator.py:484 msgid "GPAW is not installed. (Failed to import gpaw)" msgstr "GPAW er ikke installeret. (Kunne ikke importere gpaw)" #: ../calculator.py:475 msgid "You must set up the GPAW parameters" msgstr "Du skal angive GPAW-parametrene" #: ../calculator.py:516 msgid "You must set up the FHI-aims parameters" msgstr "Du skal angive FHI-aims-parametrene" #: ../calculator.py:530 msgid "You must set up the VASP parameters" msgstr "Du skal angive VASP-parametrene" #: ../calculator.py:554 #, python-format msgid "Element %(sym)s not allowed by the '%(name)s' calculator" msgstr "Grundstoffet %(sym)s tillades ikke af \"%(name)s\"-beregneren" #: ../calculator.py:561 msgid "Info" msgstr "Info" #: ../calculator.py:577 msgid "Lennard-Jones parameters" msgstr "Lennard-Jones-parametre" #: ../calculator.py:589 msgid "Specify the Lennard-Jones parameters here" msgstr "Angiv Lennard-Jones-parametrene her" #: ../calculator.py:592 msgid "Epsilon (eV):" msgstr "Epsilon (eV):" #: ../calculator.py:596 msgid "Sigma (Ã…):" msgstr "Sigma (Ã…):" #. TRANSLATORS: Shift roughly means adjust (about a potential) #: ../calculator.py:600 msgid "Shift to make smooth at cutoff" msgstr "Skift for at blødgøre ved afskæring" #: ../calculator.py:681 msgid "GPAW parameters" msgstr "GPAW-parametre" #. label = gtk.Label("Specify the GPAW parameters here") #. pack(vbox, [label]) #. Print some info #: ../calculator.py:696 ../calculator.py:985 ../calculator.py:1473 #, python-format msgid "%i atoms.\n" msgstr "%i atomer.\n" #: ../calculator.py:698 #, python-format msgid "Orthogonal unit cell: %.2f x %.2f x %.2f Ã…." msgstr "Ortogonal enhedscelle: %.2f x %.2f x %.2f Ã…." #: ../calculator.py:700 msgid "Non-orthogonal unit cell:\n" msgstr "Ikke-ortogonal enhedscelle:\n" #: ../calculator.py:710 ../calculator.py:1001 ../calculator.py:1488 msgid "Exchange-correlation functional: " msgstr "Udvekslings- og korrelationsfunktional: " #. Grid spacing #: ../calculator.py:714 msgid "Grid spacing" msgstr "Gitterafstand" #: ../calculator.py:718 ../graphene.py:67 ../graphene.py:79 ../graphene.py:102 #: ../nanotube.py:47 ../surfaceslab.py:97 msgid "Ã…" msgstr "Ã…" #: ../calculator.py:719 msgid "Grid points" msgstr "Gitterpunkter" #: ../calculator.py:728 #, python-format msgid "heff = (%.3f, %.3f, %.3f) Ã…" msgstr "heff = (%.3f, %.3f, %.3f) Ã…" #: ../calculator.py:754 ../calculator.py:1016 ../calculator.py:1524 msgid "k-points k = (" msgstr "k-punkter k = (" #: ../calculator.py:758 ../calculator.py:1020 #, python-format msgid "k-points x size: (%.1f, %.1f, %.1f) Ã…" msgstr "k-punkter x størrelse: (%.1f, %.1f, %.1f) Ã…" #. Spin polarized #: ../calculator.py:763 ../calculator.py:1486 msgid "Spin polarized" msgstr "Spinpolariseret" #: ../calculator.py:769 msgid "FD - Finite Difference (grid) mode" msgstr "FD - Finite Difference-tilstand (gitter)" #: ../calculator.py:770 msgid "LCAO - Linear Combination of Atomic Orbitals" msgstr "LCAO - linearkombination af atomare orbitaler" #: ../calculator.py:773 msgid "Mode: " msgstr "Tilstand: " #: ../calculator.py:775 msgid "sz - Single Zeta" msgstr "sz - Enkelt-zeta" #: ../calculator.py:776 msgid "szp - Single Zeta polarized" msgstr "szp - Enkelt-zeta polariseret" #: ../calculator.py:777 msgid "dzp - Double Zeta polarized" msgstr "dzp - dobbelt-zeta polariseret" #. dzp #: ../calculator.py:779 msgid "Basis functions: " msgstr "Basisfunktioner: " #. Mixer #: ../calculator.py:785 msgid "Non-standard mixer parameters" msgstr "Særlige mikserparametre" #: ../calculator.py:981 msgid "FHI-aims parameters" msgstr "FHI-aims-parametre" #: ../calculator.py:988 msgid "Periodic geometry, unit cell is:\n" msgstr "Periodisk geometri; enhedscellen er:\n" #: ../calculator.py:993 msgid "Non-periodic geometry.\n" msgstr "Ikke-periodisk geometri.\n" # XXX ikke Hirschfeld? #: ../calculator.py:1000 msgid "Hirshfeld-based dispersion correction" msgstr "Hirshfeld-baseret dispersionskorrektion" #. Spin polarized, charge, relativity #: ../calculator.py:1026 msgid "Spin / initial moment " msgstr "Spin / startmoment " #: ../calculator.py:1044 msgid " Charge" msgstr " Ladning" #: ../calculator.py:1046 msgid " Relativity" msgstr " Relativitet" #: ../calculator.py:1048 msgid " Threshold" msgstr " Tærskel" #. self-consistency criteria #: ../calculator.py:1053 msgid "Self-consistency convergence:" msgstr "Selfkonsistenskonvergens:" #: ../calculator.py:1066 msgid "Compute forces" msgstr "Beregn kræfter" #. XXX: use gtk table for layout. Spaces will not work well otherwise #. (depend on fonts, widget style, ...) #. TRANSLATORS: Don't care too much about these, just get approximately #. the same string lengths #: ../calculator.py:1077 msgid "Energy: " msgstr "Energi: " #: ../calculator.py:1079 msgid " eV Sum of eigenvalues: " msgstr " eV Sum af egenværdier: " #: ../calculator.py:1081 ../calculator.py:1559 msgid " eV" msgstr " eV" #: ../calculator.py:1082 msgid "Electron density: " msgstr "Elektrontæthed: " #: ../calculator.py:1084 msgid " Force convergence: " msgstr " Kraftkonvergens: " #: ../calculator.py:1086 msgid " eV/Ang " msgstr " eV/Ã… " #: ../calculator.py:1099 ../calculator.py:1570 msgid "Additional keywords: " msgstr "Yderligere nøgleord: " #. run command and species defaults: #: ../calculator.py:1113 msgid "FHI-aims execution command: " msgstr "Kørselskommando til FHI-aims: " # ?? #: ../calculator.py:1115 ../calculator.py:1587 msgid "Directory for species defaults: " msgstr "Mappe for grundstofstandarder: " #: ../calculator.py:1127 ../calculator.py:1595 msgid "Set Defaults" msgstr "Brug standardværdier" #: ../calculator.py:1129 msgid "Import control.in" msgstr "Importér control.in" #: ../calculator.py:1131 msgid "Export control.in" msgstr "Eksportér control.in" #: ../calculator.py:1317 msgid "Export parameters ... " msgstr "Eksportér parametre ... " #: ../calculator.py:1337 msgid "Import control.in file ... " msgstr "Importér control.in-fil ... " #: ../calculator.py:1393 ../calculator.py:1907 #, python-format msgid "" "Please use the facilities provided in this window to manipulate the keyword: " "%s!" msgstr "" "Brug venligst faciliteterne i dette vindue til at manipulere nøgleordet: %s!" #: ../calculator.py:1396 #, python-format msgid "" "Don't know this keyword: %s\n" "\n" "Please check!\n" "\n" "If you really think it should be available, please add it to the top of ase/" "calculators/aims.py." msgstr "" "Kender ikke dette nøgleord: %s\n" "\n" "Kontrollér venligst!\n" "\n" "Hvis du virkelig mener det børe være tilgængeligt, sÃ¥ tilføj det venligst " "øverst i ase/calculators/aims.py." #: ../calculator.py:1469 msgid "VASP parameters" msgstr "VASP-parametre" #: ../calculator.py:1475 msgid "Periodic geometry, unit cell is: \n" msgstr "Periodisk geometri; enhedscelle er: \n" #: ../calculator.py:1527 msgid ") Cutoff: " msgstr ") Afskæring: " #: ../calculator.py:1528 msgid " Precision: " msgstr " Præcision: " #: ../calculator.py:1530 #, python-format msgid "k-points x size: (%.1f, %.1f, %.1f) Ã… " msgstr "k-punkter x størrelse: (%.1f, %.1f, %.1f) Ã… " #: ../calculator.py:1546 msgid "Smearing: " msgstr "Udjævning: " #: ../calculator.py:1548 msgid " order: " msgstr " orden: " #: ../calculator.py:1550 msgid " width: " msgstr " bredde: " #: ../calculator.py:1557 msgid "Self-consistency convergence: " msgstr "Selfkonsistenskonvergens: " #. run command and location of POTCAR files: #: ../calculator.py:1583 msgid "VASP execution command: " msgstr "Kørselskommando til VASP: " #: ../calculator.py:1597 msgid "Import VASP files" msgstr "Importér VASP-filer" #: ../calculator.py:1599 msgid "Export VASP files" msgstr "Eksportér VASP-filer" #: ../calculator.py:1810 msgid "WARNING: cutoff energy is lower than recommended minimum!" msgstr "" "ADVARSEL: afskæringsenergi er lavere end det anbefalede minimum!" #: ../calculator.py:1862 msgid "Import VASP input files: choose directory ... " msgstr "Importér VASP-inputfiler: vælg mappe ... " #: ../calculator.py:1877 msgid "Export VASP input files: choose directory ... " msgstr "Eksportér VASP-inputfiler: vælg mappe ... " #: ../calculator.py:1910 #, python-format msgid "" "Don't know this keyword: %s\n" "Please check!\n" "\n" "If you really think it should be available, please add it to the top of ase/" "calculators/vasp.py." msgstr "" "Kender ikke dette nøgleord:: %s\n" "Kontrollér venligst!\n" "\n" "Hvis du virkelig tror det bør være tilgængeligt, sÃ¥ tilføj det venligst " "øverst i ase/calculators/vasp.py." #: ../colors.py:24 msgid "Colors" msgstr "Farver" #. Upper left: Choose how the atoms are colored. #: ../colors.py:41 msgid "Choose how the atoms are colored:" msgstr "Vælg hvordan atomerne farves:" #: ../colors.py:43 msgid "By atomic number, default \"jmol\" colors" msgstr "Efter atomnummer; \"jmol\"-farver som standard" #: ../colors.py:45 msgid "By atomic number, user specified" msgstr "Efter atomnummer, brugerdefineret" #: ../colors.py:46 msgid "By tag" msgstr "Efter mærke" #: ../colors.py:47 msgid "By force" msgstr "Efter kraft" #: ../colors.py:48 msgid "By velocity" msgstr "Efter hastighed" #: ../colors.py:49 msgid "Manually specified" msgstr "Manuelt angivet" #: ../colors.py:50 msgid "All the same color" msgstr "Alle med samme farve" #. Now fill in the box for additional information in case the force is used. #: ../colors.py:60 msgid "This should not be displayed!" msgstr "Dette bør ikke blive vist!" #: ../colors.py:65 ../colors.py:82 ../rotate.py:25 msgid "Update" msgstr "Opdatér" #: ../colors.py:67 ../colors.py:84 msgid "Min: " msgstr "Min: " #: ../colors.py:69 ../colors.py:86 msgid " Max: " msgstr " Maks: " #: ../colors.py:71 ../colors.py:88 msgid " Steps: " msgstr " Trin: " #: ../colors.py:95 msgid "Create a color scale:" msgstr "Opret en farveskala:" #: ../colors.py:98 msgid "Black - white" msgstr "Sort - hvid" #: ../colors.py:99 msgid "Black - red - yellow - white" msgstr "Sort - rød - gul - hvid" #: ../colors.py:100 msgid "Black - green - white" msgstr "Sort - grøn - hvid" #: ../colors.py:101 msgid "Black - blue - cyan" msgstr "Sort - blÃ¥ - cyan" #: ../colors.py:102 msgid "Hue" msgstr "Farvetone" #: ../colors.py:103 msgid "Named colors" msgstr "Navngivne farver" #: ../colors.py:109 msgid "Create" msgstr "Opret" #: ../colors.py:367 #, python-format msgid "Max force: %.2f (this frame), %.2f (all frames)" msgstr "Maks kraft: %.2f (dette billede), %.2f (alle billeder)" #: ../colors.py:369 #, python-format msgid "Max force: %.2f." msgstr "Maks kraft: %.2f." #: ../colors.py:383 #, python-format msgid "Max velocity: %.2f (this frame), %.2f (all frames)" msgstr "Maks. hastighed: %.2f (dette billede), %.2f (alle billeder)" #: ../colors.py:385 #, python-format msgid "Max velocity: %.2f." msgstr "Maks. hastighed: %.2f." #: ../colors.py:426 msgid "ERROR" msgstr "FEJL" #: ../colors.py:455 msgid "ERR" msgstr "FEJL" #: ../colors.py:542 msgid "Incorrect color specification" msgstr "Forkert farveangivelse" #: ../constraints.py:13 ../widgets.py:89 msgid "Constraints" msgstr "Begrænsninger" #: ../constraints.py:15 ../constraints.py:18 ../settings.py:17 #: ../widgets.py:91 ../widgets.py:94 msgid "Constrain" msgstr "Begræns" #: ../constraints.py:16 ../settings.py:20 ../settings.py:35 ../widgets.py:92 msgid " selected atoms" msgstr " markerede atomer" #: ../constraints.py:19 ../widgets.py:95 msgid " immobile atoms:" msgstr " immobile atomer:" #: ../constraints.py:21 msgid "Unconstrain" msgstr "Fjern begrænsninger" #: ../constraints.py:22 msgid " selected atoms:" msgstr " markerede atomer:" #: ../constraints.py:24 msgid "Clear constraints" msgstr "Ryd begrænsninger" #: ../constraints.py:26 ../dft.py:29 ../settings.py:53 ../widgets.py:60 #: ../widgets.py:99 msgid "Close" msgstr "Luk" #: ../crystal.py:16 msgid "" " Use this dialog to create crystal lattices. First select the structure,\n" " either from a set of common crystal structures, or by space group " "description.\n" " Then add all other lattice parameters.\n" "\n" " If an experimental crystal structure is available for an atom, you can\n" " look up the crystal type and lattice constant, otherwise you have to " "specify it\n" " yourself. " msgstr "" " Brug denne dialog til at oprette krystalstrukturer. Vælg først " "strukturen,\n" " enten fra en samling almindelige krystalstrukturer eller ud fra en\n" " rumgruppebeskrivelse. Tilføj sÃ¥ alle andre gitterparametre.\n" "\n" " Hvis der er en eksperimentel krystalstruktur tilgængelig for at\n" " atom, kan du slÃ¥ krystaltypen samt gitterkonstanten op - ellers skal\n" " du angive den selv. " #: ../crystal.py:33 #, python-format msgid " %(natoms)i atoms: %(symbols)s, Volume: %(volume).3f A3" msgstr " %(natoms)i atomer: %(symbols)s, Volumen: %(volume).3f A3" #: ../crystal.py:58 msgid "Create Bulk Crystal by Spacegroup" msgstr "Opret krystalstruktur fra rumgruppe" #: ../crystal.py:72 msgid "Number: 1" msgstr "Nummer: 1" # slice ~ opdel #: ../crystal.py:73 msgid "Lattice: " msgstr "Gitter: " #: ../crystal.py:73 msgid "\tSpace group: " msgstr "\tRumgruppe: " #: ../crystal.py:77 msgid "Size: x: " msgstr "Størrelse: x: " #: ../crystal.py:78 ../crystal.py:138 msgid " y: " msgstr " y: " #: ../crystal.py:79 ../crystal.py:139 msgid " z: " msgstr " z: " #: ../crystal.py:80 ../surfaceslab.py:127 ../surfaceslab.py:129 msgid " unit cells" msgstr " enhedsceller" #: ../crystal.py:92 ../crystal.py:96 ../crystal.py:100 ../crystal.py:104 #: ../crystal.py:108 ../crystal.py:112 msgid "free" msgstr "fri" #: ../crystal.py:93 ../crystal.py:102 msgid "equals b" msgstr "lig med b" #: ../crystal.py:94 ../crystal.py:98 msgid "equals c" msgstr "lig med c" #: ../crystal.py:95 ../crystal.py:99 ../crystal.py:103 ../crystal.py:107 #: ../crystal.py:111 ../crystal.py:115 msgid "fixed" msgstr "fast" #: ../crystal.py:97 ../crystal.py:101 msgid "equals a" msgstr "lig med a" #: ../crystal.py:105 ../crystal.py:114 msgid "equals beta" msgstr "lig med beta" #: ../crystal.py:106 ../crystal.py:110 msgid "equals gamma" msgstr "lig med gamma" #: ../crystal.py:109 ../crystal.py:113 msgid "equals alpha" msgstr "lig med alfa" #: ../crystal.py:119 msgid "Lattice parameters" msgstr "Gitterparametre" #: ../crystal.py:120 msgid "\t\ta:\t" msgstr "\t\ta:\t" #: ../crystal.py:121 msgid "\talpha:\t" msgstr "\talfa:\t" #: ../crystal.py:122 msgid "\t\tb:\t" msgstr "\t\tb:\t" #: ../crystal.py:123 msgid "\tbeta:\t" msgstr "\tbeta:\t" #: ../crystal.py:124 msgid "\t\tc:\t" msgstr "\t\tc:\t" #: ../crystal.py:125 msgid "\tgamma:\t" msgstr "\tgamma:\t" #: ../crystal.py:126 ../surfaceslab.py:99 msgid "Get from database" msgstr "Hent fra database" #: ../crystal.py:131 msgid "Basis: " msgstr "Basis: " #: ../crystal.py:137 msgid " Element:\t" msgstr " Grundstof:\t" #: ../crystal.py:137 msgid "\tx: " msgstr "\tx: " #: ../crystal.py:157 msgid "Creating a crystal." msgstr "Oprettelse af krystal." #: ../crystal.py:202 #, python-format msgid "Symbol: %s" msgstr "Symbol: %s" #: ../crystal.py:207 #, python-format msgid "Number: %s" msgstr "Nummer: %s" #: ../crystal.py:210 msgid "Invalid Spacegroup!" msgstr "Ugyldig rumgruppe!" #: ../crystal.py:336 ../crystal.py:339 msgid "Please specify a consistent set of atoms." msgstr "Angiv venligst en konsistent samling atomer." #: ../crystal.py:348 ../graphene.py:230 ../nanoparticle.py:613 #: ../nanotube.py:139 ../surfaceslab.py:248 msgid "No valid atoms." msgstr "Ingen gyldige atomer." #: ../crystal.py:465 msgid "Can't find lattice definition!" msgstr "Kan ikke finde gitterdefinition!" #: ../debug.py:11 msgid "Debug" msgstr "Fejlsøgning" #: ../dft.py:13 msgid "DFT" msgstr "DFT" #: ../dft.py:19 msgid "XC-functional: " msgstr "XC-funktional: " #: ../dft.py:23 ../repeat.py:16 msgid "Repeat atoms:" msgstr "Gentag atomer:" #: ../energyforces.py:11 msgid "Output:" msgstr "Uddata:" #: ../energyforces.py:41 msgid "Save output" msgstr "Gem uddata" #: ../energyforces.py:57 msgid "Potential energy and forces" msgstr "Potentiel energi og kræfter" #: ../energyforces.py:61 msgid "Calculate potential energy and the force on all atoms" msgstr "Beregn potentiel energi og kræfter pÃ¥ alle atomer" #: ../energyforces.py:65 msgid "Write forces on the atoms" msgstr "Skriv kræfter pÃ¥ atomerne" #: ../energyforces.py:82 msgid "Potential Energy:\n" msgstr "Potentiel energi:\n" #: ../energyforces.py:83 #, python-format msgid " %8.2f eV\n" msgstr " %8.2f eV\n" #: ../energyforces.py:84 #, python-format msgid "" " %8.4f eV/atom\n" "\n" msgstr "" " %8.4f eV/atom\n" "\n" #: ../energyforces.py:86 msgid "Forces:\n" msgstr "Kræfter:\n" #: ../execute.py:23 msgid "" "\n" " Global commands work on all frames or only on the current frame\n" " - Assignment of a global variable may not reference a local one\n" " - use 'Current frame' switch to switch off application to all frames\n" " e:\t\ttotal energy of one frame\n" " fmax:\tmaximal force in one frame\n" " A:\tunit cell\n" " E:\t\ttotal energy array of all frames\n" " F:\t\tall forces in one frame\n" " M:\tall magnetic moments\n" " R:\t\tall atomic positions\n" " S:\tall selected atoms (boolean array)\n" " D:\tall dynamic atoms (boolean array)\n" " examples: frame = 1, A[0][1] += 4, e-E[-1]\n" "\n" " Atom commands work on each atom (or a selection) individually\n" " - these can use global commands on the RHS of an equation\n" " - use 'selected atoms only' to restrict application of command\n" " x,y,z:\tatomic coordinates\n" " r,g,b:\tatom display color, range is [0..1]\n" " rad:\tatomic radius for display\n" " s:\t\tatom is selected\n" " d:\t\tatom is movable\n" " f:\t\tforce\n" " Z:\tatomic number\n" " m:\tmagnetic moment\n" " examples: x -= A[0][0], s = z > 5, Z = 6\n" "\n" " Special commands and objects:\n" " sa,cf:\t(un)restrict to selected atoms/current frame\n" " frame:\tframe number\n" " center:\tcenters the system in its existing unit cell\n" " del S:\tdelete selection\n" " CM:\tcenter of mass\n" " ans[-i]:\tith last calculated result\n" " exec file: executes commands listed in file\n" " cov[Z]:(read only): covalent radius of atomic number Z\n" " gui:\tadvanced: ag window python object\n" " img:\tadvanced: ag images object\n" " " msgstr "" "\n" " Globale kommandoer virker pÃ¥ alle billeder, eller kun pÃ¥ nuværende " "billede\n" " - Tildeling af en global variabel refererer mÃ¥ske ikke til en lokal\n" " - brug \"Nuværende billede\"-knappen til at slÃ¥ anvendelse pÃ¥ alle " "billeder\n" " til eller fra\n" " e:\t\ttotalenergi af et billede\n" " fmax:\tmaksimal kraft i et billede\n" " A:\tenhedscelle\n" " E:\t\ttotalenergi som array for alle billeder\n" " F:\t\talle kræfter i et billede\n" " M:\talle magnetiske momenter\n" " R:\t\talle atompositioner\n" " S:\talle markerede atoms (boolesk array)\n" " D:\talle dynamiske atomer (boolesk array)\n" " eksempler: billede = 1, A[0][1] += 4, e-E[-1]\n" "\n" " Atomkommandoer virker pÃ¥ hvert atom (eller en markering) enkeltvis\n" " - disse kan bruge globale kommandoer pÃ¥ højresiden af en ligning\n" " - brug \"kun markerede atomer\" for at begrænse anvendelsen af en " "kommando\n" " x,y,z:\tatomkoordinater\n" " r,g,b:\tatomvisningsfarve; interval er [0..1]\n" " rad:\tatomradius (grafisk)\n" " s:\t\tatom er markeret\n" " d:\t\tatom kan flyttes\n" " f:\t\tkraft\n" " Z:\tatomnummer\n" " m:\tmagnetisk moment\n" " eksempler: x -= A[0][0], s = z > 5, Z = 6\n" "\n" " Specialkommandoer og objekter:\n" " sa,cf:\tslÃ¥ begrænsning til markerede atomer/nuværende atomer \n" " til eller fra\n" " frame:\tbillednummer\n" " center:\tcentrerer systemet i dets eksisterende enhedscelle\n" " del S:\tfjern markering\n" " CM:\tmassemidtpunkt\n" " ans[-i]:\ti'te sidst udregnede resultat\n" " exec file: kører kommandoerne i en fil\n" " cov[Z]:(skrivebeskyttet): kovalent radius for atomnummer Z\n" " gui:\tavanceret: python-objekt for ag-vinduet\n" " img:\tavanceret: ag-billeder som objekt\n" " " #: ../execute.py:67 msgid "Expert user mode" msgstr "Eksperttilstand" #: ../execute.py:80 msgid "Welcome to the ASE Expert user mode" msgstr "Velkommen til ASE's eksperttilstand" #: ../execute.py:87 msgid "Only selected atoms (sa) " msgstr "Kun markerede atomer (sa) " #: ../execute.py:89 msgid "Only current frame (cf) " msgstr "Kun nuværende billede (cf) " #: ../execute.py:99 msgid "" "Global: Use A, D, E, M, N, R, S, n, frame; Atoms: Use a, f, m, s, x, y, z, " "Z " msgstr "" "Globalt: Brug A, D, E, M, N, R, S, n, frame; Atomer: Brug a, f, m, s, x, y, " "z, Z " #: ../execute.py:198 #, python-format msgid "*** WARNING: file does not exist - %s" msgstr "*** ADVARSEL: filen findes ikke - %s" #: ../execute.py:203 msgid "*** WARNING: No atoms selected to work with" msgstr "*** ADVARSEL: Ingen atomer markeret til at arbejde pÃ¥" #: ../execute.py:277 msgid "*** Only working on selected atoms" msgstr "*** Arbejder kun pÃ¥ markerede atomer" #: ../execute.py:279 msgid "*** Working on all atoms" msgstr "*** Arbejder pÃ¥ alle atomer" #: ../execute.py:283 msgid "*** Only working on current image" msgstr "*** Arbejder kun pÃ¥ nuværende billede" #: ../execute.py:285 msgid "*** Working on all images" msgstr "*** Arbejder pÃ¥ alle billeder" #: ../execute.py:301 msgid "Save Terminal text ..." msgstr "Gem terminaltekst ..." #: ../graphene.py:15 msgid "" "Set up a graphene sheet or a graphene nanoribbon. A nanoribbon may\n" "optionally be saturated with hydrogen (or another element)." msgstr "" "Konstruér et grafénlag eller et grafénnanobÃ¥nd. Et nanobÃ¥nd kan eventuelt\n" "mættes med hydrogen (eller et andet grundstof)." #: ../graphene.py:30 ../gui.py:298 msgid "Graphene" msgstr "Grafén" #. Choose structure #. The structure and lattice constant #. Choose the surface structure #: ../graphene.py:37 ../nanoparticle.py:138 ../surfaceslab.py:78 msgid "Structure: " msgstr "Struktur: " #: ../graphene.py:39 msgid "Infinite sheet" msgstr "Uendeligt lag" #: ../graphene.py:39 msgid "Unsaturated ribbon" msgstr "Umættet bÃ¥nd" #: ../graphene.py:40 msgid "Saturated ribbon" msgstr "Mættet bÃ¥nd" #. Orientation #: ../graphene.py:47 msgid "Orientation: " msgstr "Orientering: " #: ../graphene.py:50 msgid "zigzag" msgstr "zigzag" #: ../graphene.py:50 msgid "armchair" msgstr "lænestol" #: ../graphene.py:66 ../graphene.py:78 ../nanotube.py:46 msgid " Bond length: " msgstr " Bindingslængde: " #. Choose the saturation element and bond length #: ../graphene.py:72 msgid "Saturation: " msgstr "Mætning: " #: ../graphene.py:75 msgid "H" msgstr "H" #. Size #: ../graphene.py:91 msgid "Width: " msgstr "Bredde: " #: ../graphene.py:92 ../nanotube.py:65 msgid " Length: " msgstr " Længde: " #. Vacuum #: ../graphene.py:100 msgid "Vacuum: " msgstr "Vakuum: " #: ../graphene.py:138 ../nanotube.py:96 ../setupwindow.py:32 msgid " No element specified!" msgstr " Intet grundstof angivet!" #: ../graphene.py:231 ../nanoparticle.py:614 ../nanotube.py:140 #: ../pybutton.py:49 ../surfaceslab.py:249 msgid "You have not (yet) specified a consistent set of parameters." msgstr "Du har (endnu) ikke angivet konsistente parametre." #: ../graphs.py:19 msgid "Help for plot ..." msgstr "Hjælp til grafer ..." #: ../graphs.py:30 ../graphs.py:33 msgid "Plot" msgstr "Graf" #: ../graphs.py:38 msgid "clear" msgstr "ryd" #: ../graphs.py:92 msgid "Save data to file ... " msgstr "Gem data til fil ... " #: ../gtkexcepthook.py:117 msgid "Bug Detected" msgstr "Fejl fundet" #: ../gtkexcepthook.py:121 msgid "A programming error has been detected." msgstr "Der blev fundet en programmeringsfejl." #: ../gtkexcepthook.py:124 msgid "" "It probably isn't fatal, but the details should be reported to the " "developers nonetheless." msgstr "" "Den er nok ikke fatal, men detaljerne bør alligevel rapporteres til " "udviklerne." #: ../gtkexcepthook.py:140 msgid "Report..." msgstr "Rapportér..." #: ../gtkexcepthook.py:144 msgid "Details..." msgstr "Detaljer..." #: ../gtkexcepthook.py:160 #, python-format msgid "" "From: buggy_application\"\n" "To: bad_programmer\n" "Subject: Exception feedback\n" "\n" "%s" msgstr "" "Fra: fejlagtigt_program\"\n" "Til: dÃ¥rlig_programmør\n" "Emne: Exception feedback\n" "\n" "%s" #. Show details... #: ../gtkexcepthook.py:173 msgid "Bug Details" msgstr "Detaljer om fejl" #: ../gui.py:164 msgid "_File" msgstr "_Fil" #: ../gui.py:165 msgid "_Edit" msgstr "_Redigér" #: ../gui.py:166 msgid "_View" msgstr "_Vis" #: ../gui.py:167 msgid "_Tools" msgstr "_Værktøjer" #. TRANSLATORS: Set up (i.e. build) surfaces, nanoparticles, ... #: ../gui.py:169 msgid "_Setup" msgstr "_Byg" #: ../gui.py:170 msgid "_Calculate" msgstr "_Beregn" #: ../gui.py:171 msgid "_Help" msgstr "_Hjælp" #: ../gui.py:172 msgid "_Open" msgstr "_Ã…bn" #: ../gui.py:173 msgid "Create a new file" msgstr "Opret en ny fil" #: ../gui.py:175 msgid "_New" msgstr "_Ny" #: ../gui.py:176 msgid "New ase.gui window" msgstr "Nyt ase.gui-vindue" #: ../gui.py:178 msgid "_Save" msgstr "_Gem" #: ../gui.py:179 msgid "Save current file" msgstr "Gem den aktuelle fil" #: ../gui.py:181 msgid "_Quit" msgstr "_Afslut" #: ../gui.py:182 msgid "Quit" msgstr "Afslut" #: ../gui.py:184 msgid "Select _all" msgstr "Vælg _alle" #: ../gui.py:187 msgid "_Invert selection" msgstr "_Omvend markering" #: ../gui.py:190 msgid "Select _constrained atoms" msgstr "Vælg _fastgjorte atomer" #: ../gui.py:193 msgid "Select _immobile atoms" msgstr "Vælg _immobile atomer" #: ../gui.py:196 msgid "_Copy" msgstr "_Kopiér" #: ../gui.py:197 msgid "Copy current selection and its orientation to clipboard" msgstr "Kopiér nuværende markering og dens orientering til udklipsholderen" #: ../gui.py:199 msgid "_Paste" msgstr "_Indsæt" #: ../gui.py:200 msgid "Insert current clipboard selection" msgstr "Indsæt nuværende markering fra udklipsholderen" #: ../gui.py:202 msgid "_Modify" msgstr "_Ændr" #: ../gui.py:203 msgid "Change tags, moments and atom types of the selected atoms" msgstr "Ændr mærker, impuls og atomnummer for de valgte atomer" #: ../gui.py:205 msgid "_Add atoms" msgstr "_Tilføj atomer" #: ../gui.py:206 msgid "Insert or import atoms and molecules" msgstr "Indsæt eller importér atomer og molekyler" #: ../gui.py:208 msgid "_Delete selected atoms" msgstr "_Slet markerede atomer" #: ../gui.py:209 msgid "Delete the selected atoms" msgstr "Slet de markerede atomer" #: ../gui.py:211 msgid "_First image" msgstr "_Første billede" #: ../gui.py:214 msgid "_Previous image" msgstr "_Forrige billede" #: ../gui.py:217 msgid "_Next image" msgstr "_Næste billede" #: ../gui.py:220 msgid "_Last image" msgstr "_Sidste billede" #: ../gui.py:223 msgid "Quick Info ..." msgstr "Hurtig info ..." #: ../gui.py:226 msgid "Repeat ..." msgstr "Gentag ..." #: ../gui.py:229 msgid "Rotate ..." msgstr "Rotér ..." #: ../gui.py:232 msgid "Colors ..." msgstr "Farver ..." #. TRANSLATORS: verb #: ../gui.py:235 msgid "Focus" msgstr "Fokusér" #: ../gui.py:238 msgid "Zoom in" msgstr "Zoom ind" #: ../gui.py:241 msgid "Zoom out" msgstr "Zoom ud" #: ../gui.py:244 msgid "Reset View" msgstr "Nulstil perspektiv" #: ../gui.py:247 msgid "Settings ..." msgstr "Indstillinger ..." #: ../gui.py:250 msgid "VMD" msgstr "VMD" #: ../gui.py:253 msgid "RasMol" msgstr "RasMol" #: ../gui.py:256 msgid "xmakemol" msgstr "xmakemol" #: ../gui.py:259 msgid "avogadro" msgstr "avogadro" #: ../gui.py:262 msgid "Graphs ..." msgstr "Grafer ..." #: ../gui.py:265 msgid "Movie ..." msgstr "Film ..." #: ../gui.py:268 msgid "Expert mode ..." msgstr "Eksperttilstand ..." #: ../gui.py:271 msgid "Constraints ..." msgstr "Begrænsninger ..." # gemmer et billede af atomerne #: ../gui.py:274 msgid "Render scene ..." msgstr "Tegn struktur ..." #: ../gui.py:277 msgid "DFT ..." msgstr "DFT ..." #: ../gui.py:280 msgid "NE_B" msgstr "NE_B" #: ../gui.py:283 msgid "B_ulk Modulus" msgstr "K_ompressibilitetsmodul" #: ../gui.py:286 msgid "_Bulk Crystal" msgstr "_Krystal" #: ../gui.py:287 msgid "Create a bulk crystal with arbitrary orientation" msgstr "Opret en krystalstruktur med arbitrær orientering" #: ../gui.py:289 msgid "_Surface slab" msgstr "_Overflade" #: ../gui.py:290 msgid "Create the most common surfaces" msgstr "Opret de mest almindelige overflader" #: ../gui.py:292 msgid "_Nanoparticle" msgstr "_Nanopartikel" #: ../gui.py:293 msgid "Create a crystalline nanoparticle" msgstr "Opret en krystallinsk nanopartikel" #: ../gui.py:295 msgid "Nano_tube" msgstr "Nano_rør" #: ../gui.py:296 msgid "Create a nanotube" msgstr "Opret et nanorør" #: ../gui.py:299 msgid "Create a graphene sheet or nanoribbon" msgstr "Opret et lag eller bÃ¥nd af grafén" #: ../gui.py:301 msgid "Set _Calculator" msgstr "Angiv _beregner" #: ../gui.py:302 msgid "Set a calculator used in all calculation modules" msgstr "Angiv en beregner der skal bruges i alle beregningsmoduler" #: ../gui.py:304 msgid "_Energy and Forces" msgstr "_Energi og kræfter" #: ../gui.py:305 msgid "Calculate energy and forces" msgstr "Beregn energi og kræfter" #: ../gui.py:307 msgid "Energy _Minimization" msgstr "Energi_minimering" #: ../gui.py:308 msgid "Minimize the energy" msgstr "Minimér energien" #: ../gui.py:310 msgid "Scale system" msgstr "Skalér systemet" #: ../gui.py:311 msgid "Deform system by scaling it" msgstr "Deformér systemet ved skalering" #: ../gui.py:313 msgid "_About" msgstr "_Om" #: ../gui.py:316 msgid "Webpage ..." msgstr "Webside ..." #: ../gui.py:317 msgid "Debug ..." msgstr "Fejlsøgning ..." #: ../gui.py:319 msgid "Show _unit cell" msgstr "Vis _enhedscelle" #: ../gui.py:323 msgid "Show _axes" msgstr "Vis _akser" #: ../gui.py:327 msgid "Show _bonds" msgstr "Vis _bindinger" #: ../gui.py:331 msgid "_Move atoms" msgstr "_Flyt atomer" #: ../gui.py:335 msgid "_Rotate atoms" msgstr "_Rotér atomer" #: ../gui.py:339 msgid "Orien_t atoms" msgstr "Orien_tér atomer" #: ../gui.py:351 #, python-format msgid "building menus failed: %s" msgstr "bygning af menuer mislykkedes: %s" #: ../gui.py:620 ../gui.py:1016 ../gui.py:1076 msgid "Open ..." msgstr "Ã…bn ..." #: ../gui.py:624 ../gui.py:1019 msgid "<>" msgstr "<>" #: ../gui.py:756 msgid "Add atoms" msgstr "Tilføj atomer" #: ../gui.py:759 msgid "Paste" msgstr "Indsæt" #: ../gui.py:765 msgid "Insert atom or molecule" msgstr "Indsæt atom eller molekyle" #: ../gui.py:766 ../gui.py:883 msgid "Tag" msgstr "Mærke" #: ../gui.py:767 ../gui.py:884 msgid "Moment" msgstr "Moment" #: ../gui.py:768 msgid "Position" msgstr "Position" #: ../gui.py:793 msgid "_Load molecule" msgstr "_Indlæs molekyle" #: ../gui.py:797 ../gui.py:899 msgid "_OK" msgstr "_O.k." #: ../gui.py:801 ../gui.py:903 msgid "_Cancel" msgstr "_Annullér" #: ../gui.py:876 msgid "Modify" msgstr "Ændr" #: ../gui.py:882 msgid "Atom" msgstr "Atom" #: ../gui.py:927 msgid "Confirmation" msgstr "Bekræftelse" #: ../gui.py:931 msgid "Delete selected atom?" msgid_plural "Delete selected atoms?" msgstr[0] "Slet det valgte atom?" msgstr[1] "Slet de valgte atomer?" #: ../gui.py:938 msgid "Cancel" msgstr "Annullér" #: ../gui.py:1024 ../gui.py:1106 msgid "Automatic" msgstr "Automatisk" #: ../gui.py:1025 msgid "Dacapo netCDF output file" msgstr "netCDF-uddatafil fra Dacapo" #: ../gui.py:1026 msgid "Virtual Nano Lab file" msgstr "Virtual Nano Lab-fil" #: ../gui.py:1027 msgid "ASE pickle trajectory" msgstr "Pickletrajectory fra ASE" #: ../gui.py:1028 ../gui.py:1119 msgid "ASE bundle trajectory" msgstr "Bundletrajectory fra ASE" #: ../gui.py:1029 msgid "GPAW text output" msgstr "Textudskrift fra GPAW" #: ../gui.py:1030 msgid "CUBE file" msgstr "CUBE-fil" #: ../gui.py:1031 msgid "XCrySDen Structure File" msgstr "XCrySDen-strukturfil" #: ../gui.py:1032 msgid "Dacapo text output" msgstr "Tekstudskrift fra Dacapo" #: ../gui.py:1033 msgid "XYZ-file" msgstr "XYZ-fil" #: ../gui.py:1034 msgid "VASP POSCAR/CONTCAR file" msgstr "POSCAR/CONTCAR-fil fra VASP" #: ../gui.py:1035 msgid "VASP OUTCAR file" msgstr "OUTCAR-fil fra VASP" #: ../gui.py:1036 msgid "Protein Data Bank" msgstr "Proteindatabank" #: ../gui.py:1037 msgid "CIF-file" msgstr "CIF-fil" #: ../gui.py:1038 msgid "FHI-aims geometry file" msgstr "FHI-aims-geometrifil" #: ../gui.py:1039 msgid "FHI-aims output file" msgstr "Uddatafil fra FHI-aims" #: ../gui.py:1040 msgid "TURBOMOLE coord file" msgstr "TURBOMOLE-koordinatfil" # exciting er et program #: ../gui.py:1041 msgid "exciting input" msgstr "exciting-inddata" #: ../gui.py:1042 msgid "WIEN2k structure file" msgstr "WIEN2k-strukturfil" #: ../gui.py:1043 msgid "DftbPlus input file" msgstr "DftbPlus-inddatafil" #: ../gui.py:1044 msgid "ETSF format" msgstr "ETSF-format" #: ../gui.py:1045 ../gui.py:1117 msgid "CASTEP geom file" msgstr "CASTEP-geom-fil" #: ../gui.py:1046 msgid "CASTEP output file" msgstr "Uddatafil fra CASTEP" #: ../gui.py:1047 msgid "CASTEP trajectory file" msgstr "Trajectory-fil fra CASTEP" #: ../gui.py:1048 msgid "DFTBPlus GEN format" msgstr "GEN-format fra DFTBPlus" #: ../gui.py:1054 msgid "File type:" msgstr "Filtype:" #: ../gui.py:1094 msgid "Save ..." msgstr "Gem ..." #: ../gui.py:1107 msgid "XYZ file" msgstr "XYZ-fil" #: ../gui.py:1108 msgid "ASE trajectory" msgstr "Trajectory fra ASE" #: ../gui.py:1109 msgid "PDB file" msgstr "PDB-fil" #: ../gui.py:1110 msgid "Gaussian cube file" msgstr "Cube-fil fra Gaussian" #: ../gui.py:1111 msgid "Python script" msgstr "Pythonscript" #: ../gui.py:1112 msgid "VNL file" msgstr "VNL-fil" #: ../gui.py:1113 msgid "Portable Network Graphics" msgstr "Portable Network Graphics" #: ../gui.py:1114 msgid "Persistence of Vision" msgstr "Persistence of Vision" #: ../gui.py:1115 msgid "Encapsulated PostScript" msgstr "Encapsulated PostScript" #: ../gui.py:1116 msgid "FHI-aims geometry input" msgstr "Geometriinddata til FHI-aims" #: ../gui.py:1118 msgid "VASP geometry input" msgstr "Geometriinddata til VASP" #: ../gui.py:1120 msgid "cif file" msgstr "cif-fil" #: ../gui.py:1142 #, python-format msgid "Save current image only (#%d)" msgstr "Gem kun nuværende billede (#%d)" # slice ~ opdel #: ../gui.py:1146 msgid "Slice: " msgstr "Del: " #: ../gui.py:1147 msgid "Help for slice ..." msgstr "Hjælp til opdeling ..." #: ../gui.py:1159 msgid "AG INTERNAL ERROR: strange response in Save," msgstr "INTERN FEJL I AG: mystisk svar i Save," #: ../gui.py:1178 msgid "Unknown output format!" msgstr "Ukendt uddataformat!" #: ../gui.py:1179 #, python-format msgid "Use one of: %s" msgstr "Brug et af: %s" #: ../gui.py:1284 msgid "Not implemented!" msgstr "Ikke implementeret!" #: ../gui.py:1285 msgid "do you really need it?" msgstr "har du virkelig brug for dette?" #: ../minimize.py:20 msgid "Algorithm: " msgstr "Algoritme: " #: ../minimize.py:25 ../progress.py:67 msgid "Convergence criterion: Fmax = " msgstr "Konvergenskriterium: Fmax = " #: ../minimize.py:30 ../progress.py:70 msgid "Max. number of steps: " msgstr "Maksimalt antal trin: " #. Special stuff for MDMin #: ../minimize.py:33 msgid "Pseudo time step: " msgstr "Pseudotidsskridt: " #: ../minimize.py:54 msgid "Energy minimization" msgstr "Energiminimering" #: ../minimize.py:58 msgid "Minimize the energy with respect to the positions." msgstr "Minimér energien med hensyn til positionerne." #. Don't catch errors in the function. #. Display status message #: ../minimize.py:90 ../scaling.py:299 msgid "Running ..." msgstr "Kører ..." #. Update display to reflect cancellation of simulation. #: ../minimize.py:107 #, python-format msgid "Minimization CANCELLED after %i steps." msgstr "Minimering AFBRUDT efter %i trin." #: ../minimize.py:113 ../scaling.py:350 msgid "Out of memory, consider using LBFGS instead" msgstr "Løbet tør for hukommelse; overvej at bruge LBFGS i stedet" #. Update display to reflect succesful end of simulation. #: ../minimize.py:120 #, python-format msgid "Minimization completed in %i steps." msgstr "Minimering fuldført pÃ¥ %i trin." #. self.connect('delete_event', self.exit2) #: ../movie.py:14 msgid "Movie" msgstr "Film" #: ../movie.py:16 msgid "Image number:" msgstr "Billednummer:" #: ../movie.py:38 msgid "Play" msgstr "Afspil" #: ../movie.py:40 msgid "Stop" msgstr "Stop" #. TRANSLATORS: This function plays an animation forwards and backwards #. alternatingly, e.g. for displaying vibrational movement #: ../movie.py:44 msgid "Rock" msgstr "Pendul" #: ../movie.py:60 msgid " Frame rate: " msgstr " Billedrate: " #: ../movie.py:61 msgid " Skip frames: " msgstr " Overspring billeder: " #: ../nanoparticle.py:19 msgid "" "Create a nanoparticle either by specifying the number of layers, or using " "the\n" "Wulff construction. Please press the [Help] button for instructions on how " "to\n" "specify the directions.\n" "WARNING: The Wulff construction currently only works with cubic crystals!\n" msgstr "" "Opret en nanopartikel enten ved at angive antallet af lag, eller ved\n" "brug af Wulffkonstruktion. Tryk pÃ¥ knappen [Hjælp] for at fÃ¥\n" "instruktioner om hvordan retninger angives.\n" "\n" "ADVARSEL: Wulffkonstruktion fungerer i øjeblikket kun med kubiske " "krystaller!\n" #: ../nanoparticle.py:26 msgid "" "\n" "The nanoparticle module sets up a nano-particle or a cluster with a given\n" "crystal structure.\n" "\n" "1) Select the element, the crystal structure and the lattice constant(s).\n" " The [Get structure] button will find the data for a given element.\n" "\n" "2) Choose if you want to specify the number of layers in each direction, or " "if\n" " you want to use the Wulff construction. In the latter case, you must " "specify\n" " surface energies in each direction, and the size of the cluster.\n" "\n" "How to specify the directions:\n" "------------------------------\n" "\n" "First time a direction appears, it is interpreted as the entire family of\n" "directions, i.e. (0,0,1) also covers (1,0,0), (-1,0,0) etc. If one of " "these\n" "directions is specified again, the second specification overrules that " "specific\n" "direction. For this reason, the order matters and you can rearrange the\n" "directions with the [Up] and [Down] keys. You can also add a new " "direction,\n" "remember to press [Add] or it will not be included.\n" "\n" "Example: (1,0,0) (1,1,1), (0,0,1) would specify the {100} family of " "directions,\n" "the {111} family and then the (001) direction, overruling the value given " "for\n" "the whole family of directions.\n" msgstr "" "\n" "Nanopartikelmodulet konstruerer en nanopartikel eller klynge med en\n" "given krystalstruktur.\n" "\n" "1) Vælg grundstoffet, krystalstrukturen og gitterkonstanterne.\n" " Knappen [Hent struktur] vil finde data for et givet grundstof.\n" "\n" "2) Vælg om du vil angive antallet af lag i hver retning, eller om du\n" " vil benytte en Wulffkonstruktion. I sidstnævnte tilfælde skal du\n" " angive overfladeenergier for hver retning samt klyngens størrelse.\n" "\n" "Hvordan retninger angives\n" "-------------------------\n" "\n" "Første gang en retning dukker op, fortolkes den som en hel familie af\n" "retninger - f.eks. dækker (0,0,1) ogsÃ¥ (1,0,0), (-1,0,0) osv. Hvis en af\n" "disse retninger angives igen, vil anden specifikation særligt gælde\n" "denne specifikke retning. Derfor er rækkefølgen ikke ligegyldig, og du kan\n" "omarrangere retningerne med knapperne [Op] og [Ned]. Du kan ogsÃ¥ tilføje in " "ny retning - husk at trykke [Tilføj], eller den vil ikke blive inkluderet.\n" "\n" "Eksempel: (1,0,0), (1,1,1), (0,0,1) ville angive familien {100} af " "retninger,\n" "{111}-familien og sÃ¥ (001) retningen, der tilsidesætter værdien givet til\n" "selve familien af retninger.\n" #. Structures: Abbreviation, name, 4-index (boolean), two lattice const (bool), factory #: ../nanoparticle.py:83 msgid "Face centered cubic (fcc)" msgstr "Face centered cubic (fcc)" #: ../nanoparticle.py:84 msgid "Body centered cubic (bcc)" msgstr "Body centered cubic (bcc)" #: ../nanoparticle.py:85 msgid "Simple cubic (sc)" msgstr "Simpel kubisk (sc)" #: ../nanoparticle.py:86 msgid "Hexagonal closed-packed (hcp)" msgstr "Heksagonal tætpakket (hcp)" #: ../nanoparticle.py:87 msgid "Graphite" msgstr "Grafit" #: ../nanoparticle.py:116 msgid "Nanoparticle" msgstr "Nanopartikel" #. Choose the element #. Choose the element and bond length #. Choose the element #: ../nanoparticle.py:126 ../nanotube.py:40 ../surfaceslab.py:69 msgid "Element: " msgstr "Grundstof: " #: ../nanoparticle.py:130 msgid "Get structure" msgstr "Hent struktur" #: ../nanoparticle.py:154 msgid "Lattice constant: a =" msgstr "Gitterkonstant: a =" #. Choose specification method #: ../nanoparticle.py:171 msgid "Method: " msgstr "Metode: " #: ../nanoparticle.py:173 msgid "Layer specification" msgstr "Lagspecifikation" #: ../nanoparticle.py:173 msgid "Wulff construction" msgstr "Wulffkonstruktion" #: ../nanoparticle.py:193 msgid "Dummy placeholder object" msgstr "Stedfortræderobjekt" #: ../nanoparticle.py:195 msgid "Add new direction:" msgstr "Tilføj ny retning:" #: ../nanoparticle.py:211 msgid "Add" msgstr "Tilføj" #: ../nanoparticle.py:219 msgid "Set all directions to default values" msgstr "Sæt alle retninger til standardværdier" #: ../nanoparticle.py:227 msgid "Particle size: " msgstr "Partikelstørrelse: " #: ../nanoparticle.py:228 ../nanoparticle.py:265 ../progress.py:196 msgid "Number of atoms: " msgstr "Antal atomer: " #: ../nanoparticle.py:233 msgid "Volume: " msgstr "Volumen: " #: ../nanoparticle.py:238 msgid "ų" msgstr "ų" #: ../nanoparticle.py:243 msgid "Rounding: If exact size is not possible, choose the size" msgstr "Afrunding: Hvis eksakt størrelse ikke kan opnÃ¥s, sÃ¥ vælg størrelsen" #: ../nanoparticle.py:246 msgid "above " msgstr "over " #: ../nanoparticle.py:247 msgid "below " msgstr "under " #: ../nanoparticle.py:248 msgid "closest " msgstr "tættest pÃ¥ " #: ../nanoparticle.py:251 msgid "Smaller" msgstr "Mindre" #: ../nanoparticle.py:252 msgid "Larger" msgstr "Større" #: ../nanoparticle.py:267 msgid " Approx. diameter: " msgstr " Diameter omtrent: " #: ../nanoparticle.py:271 msgid "Information about the created cluster:" msgstr "Information om den konstruerede klynge:" #. Buttons #: ../nanoparticle.py:277 ../nanotube.py:75 msgid "Creating a nanoparticle." msgstr "Konstruktion af nanopartikel." #: ../nanoparticle.py:284 msgid "Automatic Apply" msgstr "Anvend automatisk" #: ../nanoparticle.py:332 msgid "Up" msgstr "Op" #: ../nanoparticle.py:337 msgid "Down" msgstr "Ned" #: ../nanoparticle.py:342 msgid "Delete" msgstr "Slet" #: ../nanoparticle.py:383 msgid "Surface energies (as energy/area, NOT per atom):" msgstr "Overfladeenergier (som energi/areal, IKKE per atom):" #: ../nanoparticle.py:389 msgid "Number of layers:" msgstr "Antal lag:" #: ../nanoparticle.py:418 msgid "At least one index must be non-zero" msgstr "Mindst et indeks skal være forskelligt fra nul" #: ../nanoparticle.py:421 msgid "Invalid hexagonal indices" msgstr "Ugyldige heksagonale indeks" #: ../nanoparticle.py:476 ../surfaceslab.py:218 msgid "Invalid element." msgstr "Ugyldigt grundstof." #: ../nanoparticle.py:486 msgid "Unsupported or unknown structure" msgstr "Uunderstøttet eller ukendt struktur" #: ../nanoparticle.py:603 #, python-format msgid "%.1f Ã…" msgstr "%.1f Ã…" #: ../nanotube.py:14 msgid "" "Set up a Carbon nanotube by specifying the (n,m) roll-up vector.\n" "Please note that m <= n.\n" "\n" "Nanotubes of other elements can be made by specifying the element\n" "and bond length." msgstr "" "Byg et kulstofnanorør ved at angive uprulningsvektoren (n, m).\n" "Bemærk at m <= n.\n" "\n" "Nanorør af andre grundstoffer kan bygges ved at angive hvilket grundstof,\n" "samt bindingslængde." #: ../nanotube.py:33 msgid "Nanotube" msgstr "Nanorør" #. Choose the structure. #: ../nanotube.py:57 msgid "Select roll-up vector (n,m) and tube length:" msgstr "Vælg oprulningsvektor (n,m) og rørlængde:" #: ../progress.py:25 msgid "Progress" msgstr "Fremgang" #: ../progress.py:32 msgid "Scaling deformation:" msgstr "Skaleringsdeformation:" #: ../progress.py:38 #, python-format msgid "Step number %s of %s." msgstr "Trin nummer %s af %s." #. Minimization progress frame #. Box containing frame and spacing #: ../progress.py:53 msgid "Energy minimization:" msgstr "Energiminimering:" #: ../progress.py:60 msgid "Step number: " msgstr "Trinnummer: " #: ../progress.py:62 msgid "Fmax: " msgstr "Fmax: " #: ../progress.py:102 msgid "unknown" msgstr "ukendt" #: ../progress.py:179 msgid "Status: " msgstr "Status: " #: ../progress.py:181 msgid "Iteration: " msgstr "Iteration: " #: ../progress.py:184 msgid "log10(change):" msgstr "log10(skift):" #: ../progress.py:187 msgid "Wave functions: " msgstr "Bølgefunktioner: " #: ../progress.py:189 msgid "Density: " msgstr "Tæthed: " #: ../progress.py:191 msgid "Energy: " msgstr "Energi: " #: ../progress.py:194 msgid "GPAW version: " msgstr "GPAW-version: " #: ../progress.py:197 msgid "N/A" msgstr "-" #: ../progress.py:198 msgid "Memory estimate: " msgstr "Hukommelsesestimat: " #: ../progress.py:233 msgid "No info" msgstr "Ingen info" #: ../progress.py:243 msgid "Initializing" msgstr "Klargør" #: ../progress.py:244 msgid "Positions:" msgstr "Positioner:" #: ../progress.py:248 msgid "Starting calculation" msgstr "Starter beregning" #: ../progress.py:285 msgid "unchanged" msgstr "uændret" #: ../progress.py:295 msgid "Self-consistency loop" msgstr "Selvkonsistensløkke" #: ../progress.py:300 msgid "Calculating forces" msgstr "Beregner kræfter" #: ../progress.py:301 msgid " (converged)" msgstr " (konvergeret)" #: ../pybutton.py:37 msgid "Python" msgstr "Python" #: ../pybutton.py:48 msgid "No Python code" msgstr "Ingen Pythonkode" #: ../pybutton.py:52 #, python-format msgid "" "\n" "Title: %(title)s\n" "Time: %(time)s\n" msgstr "" "\n" "Titel: %(title)s\n" "Tid: %(time)s\n" #: ../pybutton.py:61 msgid "ag: Python code" msgstr "ag: Pythonkode" #: ../pybutton.py:65 msgid "Information:" msgstr "Information:" #: ../pybutton.py:72 msgid "Python code:" msgstr "Pythonkode:" #: ../quickinfo.py:9 msgid "Single image loaded." msgstr "Enkelt billede indlæst." #: ../quickinfo.py:10 #, python-format msgid "Image %d loaded (0 - %d)." msgstr "Billede %d indlæst (0 - %d)." #: ../quickinfo.py:11 msgid "Unit cell is fixed." msgstr "Enhedscelle fastholdes." #: ../quickinfo.py:12 msgid "Unit cell varies." msgstr "Enhedscelle varierer." #: ../quickinfo.py:14 #, python-format msgid "" "%s\n" "\n" "Number of atoms: %d.\n" "\n" "Unit cell:\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" "%s\n" msgstr "" "%s\n" "\n" "Antal atomer: %d.\n" "\n" "Enhedscelle:\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" "%s\n" #: ../quickinfo.py:29 msgid "Quick Info" msgstr "Hurtig info" #: ../quickinfo.py:33 msgid "No atoms loaded." msgstr "Ingen atomer indlæst." #: ../render.py:14 msgid "" " Textures can be used to highlight different parts of\n" " an atomic structure. This window applies the default\n" " texture to the entire structure and optionally\n" " applies a different texture to subsets of atoms that\n" " can be selected using the mouse.\n" " An alternative selection method is based on a boolean\n" " expression in the entry box provided, using the\n" " variables x, y, z, or Z. For example, the expression\n" " Z == 11 and x > 10 and y > 10 \n" " will mark all sodium atoms with x or coordinates \n" " larger than 10. In either case, the button labeled\n" " `Create new texture from selection` will enable\n" " to change the attributes of the current selection. \n" " " msgstr "" " Teksturer kan bruges til at fremhæve forskellige dele af en\n" " atomar struktur. Dette vindue anvender standardteksturen pÃ¥ hele\n" " strukturen, og anvender valgfrit en anden tekstur til bestemte\n" " atomer som kan markeres med musen.\n" " En alternativ markeringsmetode baseret pÃ¥ booleske udtryk\n" " i et tekstfelt kan bruges med variabelnavnene x, y, z eller Z.\n" " For eksempel vil udtrykket Z == 11 and x > 10 and y > 10\n" " markere alle natriumatomer med x- eller y-koordinater\n" " større end 10. I begge tilfælde vil knappen med teksten\n" " \"Opret ny tekstur fra markering\" tillade ændring af\n" " attributterne for den nuværende markering.\n" " " # gemmer et billede af atomerne #: ../render.py:32 msgid "Render current view in povray ... " msgstr "Tegn nuværende struktur i povray ... " #: ../render.py:36 #, python-format msgid "Rendering %d atoms." msgstr "Tegner %d atomer." #: ../render.py:41 msgid "Render constraints" msgstr "Tegn begrænsninger" #: ../render.py:44 msgid "Width" msgstr "Bredde" #: ../render.py:45 msgid " Height" msgstr " Højde" #: ../render.py:52 msgid "Render unit cell" msgstr "Tegn _enhedscelle" #: ../render.py:61 msgid "Line width" msgstr "Linjebredde" #: ../render.py:63 msgid "Angstrom " msgstr "Ã…ngström " #: ../render.py:73 msgid "Set" msgstr "Angiv" #: ../render.py:75 msgid "Output basename: " msgstr "Basisnavn for output: " #: ../render.py:77 msgid " Filename: " msgstr " Filnavn: " #: ../render.py:88 msgid " Default texture for atoms: " msgstr " Standardtekstur for atomer: " #: ../render.py:89 msgid " transparency: " msgstr " gennemsigtighed: " #: ../render.py:90 msgid "Define atom selection for new texture:" msgstr "Definér atommarkering til ny tekstur:" #: ../render.py:92 msgid "Select" msgstr "Vælg" #: ../render.py:96 msgid "Create new texture from selection" msgstr "Opret ny tekstur fra markering" #: ../render.py:98 msgid "Help on textures" msgstr "Hjælp til teksturer" #: ../render.py:111 msgid "Camera type: " msgstr "Kameratype: " #: ../render.py:112 msgid " Camera distance" msgstr " Kameraafstand" #: ../render.py:113 msgid "Render current frame" msgstr "Tegn det aktuelle billede" #: ../render.py:117 #, python-format msgid "Render all %d frames" msgstr "Tegn alle %d billeder" #: ../render.py:122 msgid "Transparent background" msgstr "Gennemsigtig baggrund" #: ../render.py:125 msgid "Run povray " msgstr "Kør povray " #: ../render.py:128 msgid "Keep povray files " msgstr "Behold povray-filer " #: ../render.py:131 msgid "Show output window" msgstr "Vis outputvindue" #: ../render.py:212 msgid " transparency: " msgstr " gennemsigtighed: " #: ../render.py:218 msgid "" "Can not create new texture! Must have some atoms selected to create a new " "material!" msgstr "" "Kan ikke oprette ny tekstur! Der skal være atomer markeret for at kunne " "oprette nyt materiale!" #: ../repeat.py:14 msgid "Repeat" msgstr "Gentag" #: ../repeat.py:21 msgid "Set unit cell" msgstr "Angiv enhedscelle" #: ../rotate.py:15 msgid "Rotate" msgstr "Rotér" #: ../rotate.py:17 msgid "Rotation angles:" msgstr "Rotationsvinkler:" #: ../rotate.py:27 msgid "" "Note:\n" "You can rotate freely\n" "with the mouse, by holding\n" "down mouse button 2." msgstr "" "Bemærk:\n" "Du kan frit rotere med\n" "musen ved at holde\n" "musetast 2 nede." #: ../scaling.py:49 msgid "Homogeneous scaling" msgstr "Homogen skalering" #: ../scaling.py:59 msgid "3D deformation " msgstr "3D-deformation " #: ../scaling.py:60 msgid "2D deformation " msgstr "2D-deformation " #: ../scaling.py:61 msgid "1D deformation " msgstr "1D-deformation " #: ../scaling.py:64 msgid "Bulk" msgstr "Krystal" #: ../scaling.py:66 msgid "xy-plane" msgstr "xy-plan" #: ../scaling.py:68 msgid "xz-plane" msgstr "xz-plan" #: ../scaling.py:70 msgid "yz-plane" msgstr "yz-plan" #: ../scaling.py:72 msgid "x-axis" msgstr "x-akse" #: ../scaling.py:74 msgid "y-axis" msgstr "y-akse" #: ../scaling.py:76 msgid "z-axis" msgstr "z-akse" #: ../scaling.py:89 msgid "Allow deformation along non-periodic directions." msgstr "Tillad deformation langs ikke-periodiske retninger." #. Parameters for the deformation #: ../scaling.py:94 msgid "Deformation:" msgstr "Deformation:" #: ../scaling.py:100 msgid "Maximal scale factor: " msgstr "Maksimal skaleringsfaktor: " #: ../scaling.py:103 msgid "Scale offset: " msgstr "Forskydning ved skalering: " #: ../scaling.py:106 msgid "Number of steps: " msgstr "Antal trin: " #: ../scaling.py:107 msgid "Only positive deformation" msgstr "Kun positiv deformation" #. Atomic relaxations #: ../scaling.py:112 msgid "Atomic relaxations:" msgstr "Atomrelakseringer:" #: ../scaling.py:116 msgid "On " msgstr "Til " #: ../scaling.py:117 msgid "Off" msgstr "Fra" #. Results #: ../scaling.py:128 msgid "Results:" msgstr "Resultater:" #: ../scaling.py:130 msgid "Keep original configuration" msgstr "Behold oprindelig konfiguration" #: ../scaling.py:132 msgid "Load optimal configuration" msgstr "Indlæs optimal konfiguration" #: ../scaling.py:134 msgid "Load all configurations" msgstr "Indlæs alle konfigurationer" #: ../scaling.py:143 msgid "Strain\t\tEnergy [eV]" msgstr "Spænding\t\tEnergi [eV]" #: ../scaling.py:144 msgid "Fit:" msgstr "Fit:" #: ../scaling.py:148 msgid "2nd" msgstr "2." #: ../scaling.py:149 msgid "3rd" msgstr "3." #: ../scaling.py:153 msgid "Order of fit: " msgstr "Orden for fit: " #. Update display to reflect cancellation of simulation. #: ../scaling.py:346 msgid "Calculation CANCELLED." msgstr "Beregning AFBRUDT." #. Update display to reflect succesful end of simulation. #: ../scaling.py:357 msgid "Calculation completed." msgstr "Beregning fuldført." #: ../scaling.py:380 msgid "No trustworthy minimum: Old configuration kept." msgstr "Intet troværdigt minimum: Gammel konfiguration beholdt." #: ../scaling.py:420 #, python-format msgid "" "Insufficent data for a fit\n" "(only %i data points)\n" msgstr "" "Utilstrækkelige data til fit\n" "(kun %i datapunkter)\n" #: ../scaling.py:424 msgid "" "REVERTING TO 2ND ORDER FIT\n" "(only 3 data points)\n" "\n" msgstr "" "GÃ…R NED TIL ANDENORDENS FIT\n" "(kun 3 datapunkter)\n" "\n" #: ../scaling.py:440 msgid "No minimum found!" msgstr "Intet minimum fundet!" #: ../scaling.py:454 msgid "" "\n" "WARNING: Minimum is outside interval\n" msgstr "" "\n" "ADVARSEL: Minimum ligger uden for interval\n" #: ../scaling.py:455 msgid "It is UNRELIABLE!\n" msgstr "Det er UTILREGNELIGT!\n" #: ../settings.py:16 msgid "Constraints:" msgstr "Begrænsninger:" #: ../settings.py:19 msgid "release" msgstr "frigiv" # I dette tilfælde er constrain = fastgøre #: ../settings.py:23 msgid "Constrain immobile atoms" msgstr "Fastgør immobile atomer" #: ../settings.py:25 msgid "Clear all constraints" msgstr "Ryd alle begrænsninger" #: ../settings.py:31 msgid "Visibility:" msgstr "Synlighed:" #: ../settings.py:32 msgid "Hide" msgstr "Skjul" #: ../settings.py:34 msgid "show" msgstr "vis" #: ../settings.py:38 msgid "View all atoms" msgstr "Vis alle atomer" #: ../settings.py:44 msgid "Miscellaneous:" msgstr "Diverse:" #: ../settings.py:47 msgid "Scale atomic radii:" msgstr "Skalér atomradier:" #. A close button #: ../settings.py:52 msgid "\n" msgstr "\n" #: ../setupwindow.py:51 msgid "No crystal structure data" msgstr "Ingen data for krystalstruktur" #: ../setupwindow.py:62 msgid " ERROR: Invalid element!" msgstr " FEJL: ugyldigt grundstof!" #: ../simulation.py:24 msgid " (rerun simulation)" msgstr " (kør simulation igen)" #: ../simulation.py:25 msgid " (continue simulation)" msgstr " (fortsæt simulation)" #: ../simulation.py:27 msgid "Select starting configuration:" msgstr "Vælg startkonfiguration:" #: ../simulation.py:32 #, python-format msgid "There are currently %i configurations loaded." msgstr "Der er i øjeblikket indlæst %i konfigurationer." #: ../simulation.py:36 msgid "Choose which one to use as the initial configuration" msgstr "Vælg hvilken, der skal bruges som begyndelseskonfiguration" #: ../simulation.py:40 #, python-format msgid "The first configuration %s." msgstr "Første konfiguration %s." #: ../simulation.py:43 msgid "Configuration number " msgstr "Konfiguration nummer " #: ../simulation.py:49 #, python-format msgid "The last configuration %s." msgstr "Sidste konfiguration %s." #: ../simulation.py:85 msgid "Run" msgstr "Kør" #: ../simulation.py:105 msgid "No calculator: Use Calculate/Set Calculator on the menu." msgstr "Ingen beregner: Brug Beregn/Angiv beregner i menuen." #: ../status.py:37 ../status.py:39 msgid "Tip for status box ..." msgstr "Fif til statusboks ..." #. TRANSLATORS: mom refers to magnetic moment #: ../status.py:63 #, python-format msgid " tag=%(tag)s mom=%(mom)1.2f" msgstr " mærke=%(tag)s mom=%(mom)1.2f" #: ../status.py:104 msgid "dihedral" msgstr "dihedral" #: ../surfaceslab.py:14 msgid "" " Use this dialog to create surface slabs. Select the element by\n" "writing the chemical symbol or the atomic number in the box. Then\n" "select the desired surface structure. Note that some structures can\n" "be created with an othogonal or a non-orthogonal unit cell, in these\n" "cases the non-orthogonal unit cell will contain fewer atoms.\n" "\n" " If the structure matches the experimental crystal structure, you can\n" "look up the lattice constant, otherwise you have to specify it\n" "yourself." msgstr "" " Brug denne dialog til at oprette overflader. Vælg grundstoffet ved at \n" "skrive det kemiske symbol eller atomnummeret i boksen. Vælg sÃ¥ den ønskede\n" "overfladestruktur. Bemærk at visse strukturer kan oprettes med bÃ¥de en\n" "ortogonal og en ikke-ortogonal enhedscelle; i disse tilfælde vil\n" "den ikke-ortogonale enhedscelle indeholde færre atomer.\n" "\n" " Hvis strukturen svarer til den eksperimentelle krystalstruktur, kan\n" "du slÃ¥ gitterkonstanten op. Ellers skal du angive den selv." #. Name, structure, orthogonal, support-nonorthogonal, function #: ../surfaceslab.py:26 msgid "FCC(100)" msgstr "FCC(100)" #: ../surfaceslab.py:26 ../surfaceslab.py:27 ../surfaceslab.py:28 #: ../surfaceslab.py:30 msgid "fcc" msgstr "fcc" #: ../surfaceslab.py:27 msgid "FCC(110)" msgstr "FCC(110)" #: ../surfaceslab.py:28 msgid "FCC(111) non-orthogonal" msgstr "FCC(111) ikke-ortogonal" #: ../surfaceslab.py:30 msgid "FCC(111) orthogonal" msgstr "FCC(111) ortogonal" #: ../surfaceslab.py:31 msgid "BCC(100)" msgstr "BCC(100)" #: ../surfaceslab.py:31 ../surfaceslab.py:32 ../surfaceslab.py:34 #: ../surfaceslab.py:35 ../surfaceslab.py:37 msgid "bcc" msgstr "bcc" #: ../surfaceslab.py:32 msgid "BCC(110) non-orthogonal" msgstr "BCC(110) ikke-ortogonal" #: ../surfaceslab.py:34 msgid "BCC(110) orthogonal" msgstr "BCC(110) ortogonal" #: ../surfaceslab.py:35 msgid "BCC(111) non-orthogonal" msgstr "BCC(111) ikke-ortogonal" #: ../surfaceslab.py:37 msgid "BCC(111) orthogonal" msgstr "BCC(111) ortogonal" #: ../surfaceslab.py:38 msgid "HCP(0001) non-orthogonal" msgstr "HCP(0001) ikke-ortogonal" #: ../surfaceslab.py:38 ../surfaceslab.py:40 ../surfaceslab.py:41 msgid "hcp" msgstr "hcp" #: ../surfaceslab.py:40 msgid "HCP(0001) orthogonal" msgstr "HCP(0001) ortogonal" #: ../surfaceslab.py:41 msgid "HCP(10-10) orthogonal" msgstr "HCP(10-10) ortogonal" #: ../surfaceslab.py:43 msgid "DIAMOND(100) orthogonal" msgstr "DIAMOND(100) ortogonal" #: ../surfaceslab.py:43 ../surfaceslab.py:45 msgid "diamond" msgstr "diamant" #: ../surfaceslab.py:45 msgid "DIAMOND(111) non-orthogonal" msgstr "DIAMANT(111) ikke-ortogonal" #: ../surfaceslab.py:60 msgid "Surface" msgstr "Overflade" #: ../surfaceslab.py:90 msgid "Lattice constant: " msgstr "Gitterkonstant: " #: ../surfaceslab.py:97 msgid "a:" msgstr "a:" #: ../surfaceslab.py:109 #, python-format msgid "(%.1f %% of ideal)" msgstr "(%.1f %% af ideel)" #: ../surfaceslab.py:126 msgid "Size: \tx: " msgstr "Størr.:\tx: " #: ../surfaceslab.py:128 msgid "\t\ty: " msgstr "\t\ty: " #: ../surfaceslab.py:130 msgid " \t\tz: " msgstr " \t\tz: " #: ../surfaceslab.py:131 msgid " layers, " msgstr " lag, " #: ../surfaceslab.py:132 msgid " Ã… vacuum" msgstr " Ã… vakuum" #: ../surfaceslab.py:133 msgid "\t\tNo size information yet." msgstr "\t\tEndnu ingen størrelsesoplysninger." #. Buttons #: ../surfaceslab.py:142 msgid "Creating a surface slab." msgstr "Oprettelse af overflade." #: ../surfaceslab.py:212 #, python-format msgid "%i atoms." msgstr "%i atomer." #: ../surfaceslab.py:224 msgid "No structure specified!" msgstr "Ingen struktur angivet!" # %s ~ BCC #: ../surfaceslab.py:233 #, python-format msgid "%(struct)s lattice constant unknown for %(element)s." msgstr "%(struct)s-gitterkonstant ukendt for %(element)s." #: ../widgets.py:53 ../widgets.py:80 msgid "Help" msgstr "Hjælp" #: ../widgets.py:97 msgid "Clear constraint" msgstr "Ryd begrænsninger" #~ msgid " %8.3f, %8.3f, %8.3f eV/Ã…\n" #~ msgstr " %8.3f, %8.3f, %8.3f eV/Ã…\n" #~ msgid "%s (a=%.3f Ã…)" #~ msgstr "%s (a=%.3f Ã…)" #~ msgid " %s: %s, Z=%i, %s" #~ msgstr " %s: %s, Z=%i, %s" #~ msgid " #%d %s (%s): %.3f Ã…, %.3f Ã…, %.3f Ã… " #~ msgstr " #%d %s (%s): %.3f Ã…, %.3f Ã…, %.3f Ã… " #~ msgid " %s-%s: %.3f Ã…" #~ msgstr " %s-%s: %.3f Ã…" #~ msgid " %s-%s-%s: %.1f°, %.1f°, %.1f°" #~ msgstr " %s-%s-%s: %.1f°, %.1f°, %.1f°" #~ msgid "dihedral %s->%s->%s->%s: %.1f°" #~ msgstr "dihedral %s->%s->%s->%s: %.1f°" #~ msgid "c:" #~ msgstr "c:" #~ msgid "\t\t%.2f Ã… x %.2f Ã… x %.2f Ã…, %i atoms." #~ msgstr "\t\t%.2f Ã… x %.2f Ã… x %.2f Ã…, %i atomer." #~ msgid "FILE" #~ msgstr "FIL" #~ msgid "%prog [options] [file[, file2, ...]]" #~ msgstr "%prog [tilvalg] [fil[, fil2, ...]]" #~ msgid "NUMBER" #~ msgstr "NUMMER" #~ msgid "" #~ "Pick image(s) from trajectory. NUMBER can be a single number (use a " #~ "negative number to count from the back) or a range: start:stop:step, " #~ "where the \":step\" part can be left out - default values are 0:nimages:1." #~ msgstr "" #~ "Vælg billeder fra traj-fil. NUMMER kan være et enkelt tal (brug et " #~ "negativt tal til at tælle bagfra) eller et interval pÃ¥ formen start:stop:" #~ "trin, hvor elementet \":trin\" kan udelades. Standardværdi er 0:" #~ "antalbilleder:1." #~ msgid "I" #~ msgstr "I" #~ msgid "" #~ "0: Don't show unit cell. 1: Show unit cell. 2: Show all of unit cell." #~ msgstr "" #~ "0: Vis ikke enhedscellen. 1: Vis enhedscellen. 2: Vis hele enhedscellen." #~ msgid "Repeat unit cell. Use \"-r 2\" or \"-r 2,3,1\"." #~ msgstr "Gentag enhedscellen. Brug \"-r 2\" eller \"-r 2,3,1\"." #~ msgid "Examples: \"-R -90x\", \"-R 90z,-30x\"." #~ msgstr "Eksempler: \"-R -90x\", \"-R 90z,-30x\"." #~ msgid "Write configurations to FILE." #~ msgstr "Skriv konfigurationer til FIL." #~ msgid "EXPR" #~ msgstr "UDTRYK" #~ msgid "" #~ "Plot x,y1,y2,... graph from configurations or write data to sdtout in " #~ "terminal mode. Use the symbols: i, s, d, fmax, e, ekin, A, R, E and F. " #~ "See https://wiki.fysik.dtu.dk/ase/ase/gui.html#plotting-data for more " #~ "details." #~ msgstr "" #~ "Tegn graf for x,y1,y2,... fra konfigurationer, eller skriv data til " #~ "stdout i teksttilstand. Brug symbolerne i, s, d, fmax, e, ekin, A, R, E " #~ "og F. Yderligere detaljer kan findes pÃ¥ https://wiki.fysik.dtu.dk/ase/" #~ "ase/gui.html#plotting-data for more details." #~ msgid "Run in terminal window - no GUI." #~ msgstr "Kør i terminalvindue - uden grafisk grænseflade." #~ msgid "Read ANEB data." #~ msgstr "Læs ANEB-data." #~ msgid "N" #~ msgstr "N" #~ msgid "Interpolate N images between 2 given images." #~ msgstr "Interpolér N billeder mellem to givne billeder." #~ msgid "Draw bonds between atoms." #~ msgstr "Tegn bindinger mellem atomer." python-ase-3.6.0.2515/ase/gui/po/es_ES/0000755000175400017540000000000011757245036016162 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/gui/po/es_ES/LC_MESSAGES/0000755000175400017540000000000011757245036017747 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/gui/po/es_ES/LC_MESSAGES/ag.po0000644000175400017540000023222111716573517020703 0ustar askhlaskhl# Spanish translations for ASE package. # Copyright (C) 2012 CAMD # This file is distributed under the same license as the ASE package. # Ask Hjorth Larsen , 2012. # Max Ramirez , 2012. # msgid "" msgstr "" "Project-Id-Version: ase-3.5.2\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2012-02-01 16:08+0100\n" "PO-Revision-Date: 2012-02-02 00:15+0100\n" "Last-Translator: Max Ramirez \n" "Language-Team: Spanish\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" "Content-Transfer-Encoding: 8bit\n" "Language: es\n" "Plural-Forms: nplurals=2; plural=(n != 1);\n" #: ../ag.py:130 msgid "" "\n" "An exception occurred! Please report the issue to\n" "ase-developers@listserv.fysik.dtu.dk - thanks! Please also report this if\n" "it was a user error, so that a better error message can be provided\n" "next time." msgstr "" "\n" "Se produjo un error! Por favor, reporte el problema a\n" "\n" "ase-developers@listserv.fysik.dtu.dk \n" "\n" "Muchas gracias! Por favor, reporte también el problema si\n" "fue un error de usuario, de esta forma podemos proveer un\n" "mejor mensaje de error la próxima vez." #. Asap and GPAW may be imported if selected. #: ../calculator.py:18 msgid "" "To make most calculations on the atoms, a Calculator object must first\n" "be associated with it. ASE supports a number of calculators, supporting\n" "different elements, and implementing different physical models for the\n" "interatomic interactions." msgstr "" "Para realizar la mayoría de los calculos sobre los átomos,\n" "se debe primero definir y asociar un objeto calculador \n" "(Calculator) con éstos. ASE soporta un número de calculadores, \n" "los cuales además de poder realizar cálculos sobre distintos \n" "elementos, implementan también modelos físicos diferentes para \n" "las interacciones interatómicas." #. Informational text about the calculators #: ../calculator.py:26 msgid "" "The Lennard-Jones pair potential is one of the simplest\n" "possible models for interatomic interactions, mostly\n" "suitable for noble gasses and model systems.\n" "\n" "Interactions are described by an interaction length and an\n" "interaction strength." msgstr "" "El potencial de pares de Lennard-Jones es uno de los \n" "modelos más simples para las interacciones atómicas. \n" "Éste es adecuado para describir y modelar sistemas \n" "compuestos de gases nobles.\n" "\n" "Las interacciones en este potencial son descritas por \n" "un largo de interacción y una fuerza de interacción." #: ../calculator.py:35 msgid "" "The EMT potential is a many-body potential, giving a\n" "good description of the late transition metals crystalling\n" "in the FCC crystal structure. The elements described by the\n" "main set of EMT parameters are Al, Ni, Cu, Pd, Ag, Pt, and\n" "Au, the Al potential is however not suitable for materials\n" "science application, as the stacking fault energy is wrong.\n" "\n" "A number of parameter sets are provided.\n" "\n" "Default parameters:\n" "\n" "The default EMT parameters, as published in K. W. Jacobsen,\n" "P. Stoltze and J. K. Nørskov, Surf. Sci. 366, 394 (1996).\n" "\n" "Alternative Cu, Ag and Au:\n" "\n" "An alternative set of parameters for Cu, Ag and Au,\n" "reoptimized to experimental data including the stacking\n" "fault energies by Torben Rasmussen (partly unpublished).\n" "\n" "Ruthenium:\n" "\n" "Parameters for Ruthenium, as published in J. Gavnholt and\n" "J. Schiøtz, Phys. Rev. B 77, 035404 (2008).\n" "\n" "Metallic glasses:\n" "\n" "Parameters for MgCu and CuZr metallic glasses. MgCu\n" "parameters are in N. P. Bailey, J. Schiøtz and\n" "K. W. Jacobsen, Phys. Rev. B 69, 144205 (2004).\n" "CuZr in A. Paduraru, A. Kenoufi, N. P. Bailey and\n" "J. Schiøtz, Adv. Eng. Mater. 9, 505 (2007).\n" msgstr "" "El potencial EMT es un potencial de muchos cuerpos, el cual describe\n" "de manera correcta a los metales de transición que cristalizan en una\n" "estructura tipo FCC. Los elementos descritos por el conjunto de pará-\n" "metros del EMT son Al, Ni, Cu, Pd, Ag, Pt y Au. Sin embargo, la descripción\n" "de este potencial para el aluminio no es adecuado para su uso en la\n" "ciencia de materiales, ya que la energía de apilamiento es incorrecta.\n" "\n" "Con ASE se provee un conjunto de parámetros para este potencial.\n" "\n" "Parámetros por defecto:\n" "\n" "Los parámetros por defecto de este potencial son extraídos de la siguiente\n" "publicación: K. W. Jacobsen, P. Stoltze y J. K. Nørskov, Surf. Sci. \n" "366, 394 (1996).\n" "\n" "Parámetros alternativos para Cu, Ag y Au:\n" "\n" "Un conjunto de parámetros alternativo para Cu, Ag y Au fueron reoptimizados\n" "con datos experimentales incluyendo la energía de apilamiento (parcialmente " "no\n" "publicada) por Torben Rasmussen.\n" "\n" "Rutenio:\n" "\n" "Los parámetros para Rutenio fueron extraídos de la publicación J. Gavnholt " "y\n" "J. Schiøtz, Phys. Rev. B 77, 035404 (2008).\n" "\n" "Vidrios metálicos:\n" "\n" "Conjunto de parámetros para vidrios metálicos compuestos de MgCu y CuZr. " "Los\n" "parámetros para MgCu fueron extraídos desde N. P. Bailey, J. Schiøtz y \n" "K. W. Jacobsen, Phys. Rev. B 69, 144205 (2004). Para CuZr los\n" "parámetros fueron extraídos de la publicación A. Paduraru, A. Kenoufi, \n" "N. P. Bailey y J. Schiøtz, Adv. Eng. Mater. 9, 505 (2007).\n" #: ../calculator.py:70 msgid "" "The EMT potential is a many-body potential, giving a\n" "good description of the late transition metals crystalling\n" "in the FCC crystal structure. The elements described by the\n" "main set of EMT parameters are Al, Ni, Cu, Pd, Ag, Pt, and\n" "Au. In addition, this implementation allows for the use of\n" "H, N, O and C adatoms, although the description of these is\n" "most likely not very good.\n" "\n" "This is the ASE implementation of EMT. For large\n" "simulations the ASAP implementation is more suitable; this\n" "implementation is mainly to make EMT available when ASAP is\n" "not installed.\n" msgstr "" "El potencial EMT es un potencial de muchos cuerpos, el\n" "cual describe de manera correcta a los metales de tran-\n" "sición que cristalizan en una estructura tipo FCC. Los \n" "elementos descritos por el conjunto de parámetros del \n" "EMT son Al, Ni, Cu, Pd, Ag, Pt y Au. Adicionalmente, esta\n" "implementación permite el uso de H, N, O y C. Sin embargo, \n" "la descripción de estos no es muy buena.\n" "\n" "Esta es la implementación de ASE de EMT. Para simu-\n" "laciones más grandes la implementación ASAP es más confiable.\n" "Esta implemetación es para tener un EMT cuando ASAP no está\n" "instalado.\n" #: ../calculator.py:85 msgid "" "The Brenner potential is a reactive bond-order potential for\n" "carbon and hydrocarbons. As a bond-order potential, it takes\n" "into account that carbon orbitals can hybridize in different\n" "ways, and that carbon can form single, double and triple\n" "bonds. That the potential is reactive means that it can\n" "handle gradual changes in the bond order as chemical bonds\n" "are formed or broken.\n" "\n" "The Brenner potential is implemented in Asap, based on a\n" "C implentation published at http://www.rahul.net/pcm/brenner/ .\n" "\n" "The potential is documented here:\n" " Donald W Brenner, Olga A Shenderova, Judith A Harrison,\n" " Steven J Stuart, Boris Ni and Susan B Sinnott:\n" " \"A second-generation reactive empirical bond order (REBO)\n" " potential energy expression for hydrocarbons\",\n" " J. Phys.: Condens. Matter 14 (2002) 783-802.\n" " doi: 10.1088/0953-8984/14/4/312\n" msgstr "" "El potencial de Brenner es un potencial reactivo al orden\n" "del enlace para carbón e hidrocarbones. Como es un potencial\n" "con orden de enlace, toma en cuenta que los orbitales de \n" "carbono pueden hibridizarse de diferentes maneras, y que el\n" "carbon puede formar enlaces simples, dobles y triples. \n" "Que el potencial sea reactivo significa que puede manejar \n" "cambios graduales en el orden del enlace, como por ejemplo\n" " que los enlaces químicos se pueden crear y destruir.\n" "\n" "El potencial de Brenner está implementado en ASAP, basado \n" "en una implementación de C publicada en \n" "\n" "http://www.rahul.net/pcm/brenner/ .\n" "\n" "El potencial está documentado aquí:\n" " Donald W Brenner, Olga A Shenderova, Judith A Harrison,\n" " Steven J Stuart, Boris Ni and Susan B Sinnott:\n" " \"A second-generation reactive empirical bond order (REBO)\n" " potential energy expression for hydrocarbons\",\n" " J. Phys.: Condens. Matter 14 (2002) 783-802. \n" " doi: 10.1088/0953-8984/14/4/312\n" #: ../calculator.py:107 msgid "" "GPAW implements Density Functional Theory using a\n" "Grid-based real-space representation of the wave\n" "functions, and the Projector Augmented Wave\n" "method for handling the core regions. \n" msgstr "" "GPAW implementa la teoría del funcional de la densidad\n" "utilizando una representación en el espacio real basado\n" "en grillas de las funciones de onda, y el método de las\n" "ondas aumentadas proyectadas para manejar las regiones\n" "del núcleo.\n" #: ../calculator.py:114 msgid "" "FHI-aims is an external package implementing density \n" "functional theory and quantum chemical methods using \n" "all-electron methods and a numeric local orbital basis set. \n" "For full details, see http://www.fhi-berlin.mpg.de/aims/ \n" "or Comp. Phys. Comm. v180 2175 (2009). The ASE \n" "documentation contains information on the keywords and \n" "functionalities available within this interface. \n" msgstr "" "FHI-aims es un paquete externo que implementa la teoría del \n" "funcional de la densidad y métodos químicos cuánticos utilizando\n" "métodos con todos los electrones y bases numéricas locales. \n" "\n" "Para mayores detalles, visite\n" "\n" "http://www.fhi-berlin.mpg.de/aims/ \n" "\n" "o revise la referencia Comp. Phys. Comm. v180 2175 (2009). \n" "La documentación de ASE contiene información sobre las \n" "palabras clave y las funcionalidades disponibles en esta \n" "interfaz.\n" #: ../calculator.py:124 msgid "" "WARNING:\n" "Your system seems to have more than zero but less than \n" "three periodic dimensions. Please check that this is \n" "really what you want to compute. Assuming full \n" "3D periodicity for this calculator." msgstr "" "ADVERTENCIA: al parecer su sistema tiene más de una pero menos\n" "de tres dimensiones periódicas. Por favor, compruebe que esto es\n" "realmente lo que desea calcular. Asumiendo periodicidad 3D completa\n" "para éste cálculo." #: ../calculator.py:131 msgid "" "VASP is an external package implementing density \n" "functional functional theory using pseudopotentials \n" "or the projector-augmented wave method together \n" "with a plane wave basis set. For full details, see\n" "http://cms.mpi.univie.ac.at/vasp/vasp/\n" msgstr "" "VASP es un paquete externo, el cual implementa la\n" "teoría del funcional de la densidad utilizando\n" "pseudopotenciales ó el método de las ondas proyectadas\n" "y aumentadas en conjunto con un conjunto de ondas planas.\n" "Para más detalles, visite\n" "\n" "http://cms.mpi.univie.ac.at/vasp/vasp/\n" #: ../calculator.py:140 msgid "Default (Al, Ni, Cu, Pd, Ag, Pt, Au)" msgstr "Por defecto (Al, Ni, Cu, Pd, Ag, Pt, Au)" #: ../calculator.py:141 msgid "Alternative Cu, Ag and Au" msgstr "Parámetros alternativos para Cu, Ag y Au" #: ../calculator.py:142 msgid "Ruthenium" msgstr "Rutenio" #: ../calculator.py:143 msgid "CuMg and CuZr metallic glass" msgstr "Vidrios metálicos de CuMg y CuZr" #: ../calculator.py:158 msgid "Select calculator" msgstr "Seleccione Calculador (Calculator)" #: ../calculator.py:164 msgid "Calculator:" msgstr "Calculador:" #. No calculator (the default) #: ../calculator.py:167 msgid "None" msgstr "Ninguno" #: ../calculator.py:172 msgid "Lennard-Jones (ASAP)" msgstr "Lennard-Jones (ASAP)" #: ../calculator.py:173 ../calculator.py:206 ../calculator.py:215 #: ../calculator.py:224 msgid "Setup" msgstr "Configuración" # EMT - Effective Medium Theory (ASAP) #: ../calculator.py:180 msgid "EMT - Effective Medium Theory (ASAP)" msgstr "EMT - Teoría Media Efectiva (ASAP)" #: ../calculator.py:192 msgid "EMT - Effective Medium Theory (ASE)" msgstr "EMT - Teoría Media Efectiva (ASE)" #: ../calculator.py:198 msgid "Brenner Potential (ASAP)" msgstr "Potencial de Brenner (ASAP)" #: ../calculator.py:204 msgid "Density Functional Theory (GPAW)" msgstr "Teoría del funcional de la densidad (GPAW)" #: ../calculator.py:213 msgid "Density Functional Theory (FHI-aims)" msgstr "Teoría del funcional de la densidad (FHI-aims)" #: ../calculator.py:222 msgid "Density Functional Theory (VASP)" msgstr "Teoría del funcional de la densidad (VASP)" #: ../calculator.py:235 msgid "Check that the calculator is reasonable." msgstr "Compruebe que el calculador sea razonable." #: ../calculator.py:298 ../simulation.py:114 msgid "No atoms present" msgstr "No hay átomos presentes" #: ../calculator.py:388 ../calculator.py:422 ../calculator.py:456 msgid "ASAP is not installed. (Failed to import asap3)" msgstr "ASAP no está instalado. (Error al importar asap3)" #: ../calculator.py:391 msgid "You must set up the Lennard-Jones parameters" msgstr "Usted debe establecer los parámetros del potencial de Lennard-Jones" #: ../calculator.py:396 msgid "Could not create useful Lennard-Jones calculator." msgstr "No se pudo crear un calculador Lennard-Jones útil." #: ../calculator.py:430 msgid "Could not attach EMT calculator to the atoms." msgstr "No se pudo adjuntar el calculador EMT a los átomos." #: ../calculator.py:472 ../calculator.py:484 msgid "GPAW is not installed. (Failed to import gpaw)" msgstr "GPAW no está instalado (Error al importar gpaw)" #: ../calculator.py:475 msgid "You must set up the GPAW parameters" msgstr "Debe establecer los parámetros para GPAW" #: ../calculator.py:516 msgid "You must set up the FHI-aims parameters" msgstr "Debe establecer los parámetros para FHI-aims" #: ../calculator.py:530 msgid "You must set up the VASP parameters" msgstr "Debe establecer los parámetros para VASP" #: ../calculator.py:554 #, python-format msgid "Element %(sym)s not allowed by the '%(name)s' calculator" msgstr "El elemento %(sym)s no esta permitido para el calculador '%(name)s'" #: ../calculator.py:561 msgid "Info" msgstr "Información" #: ../calculator.py:577 msgid "Lennard-Jones parameters" msgstr "Parámetros de Lennard-Jones" #: ../calculator.py:589 msgid "Specify the Lennard-Jones parameters here" msgstr "Especifique los parámetros de Lennard-Jones aquí" # Epsilon (eV) #: ../calculator.py:592 msgid "Epsilon (eV):" msgstr "Epsilon (eV):" #: ../calculator.py:596 msgid "Sigma (Ã…):" msgstr "Sigma (Ã…):" #. TRANSLATORS: Shift roughly means adjust (about a potential) #: ../calculator.py:600 msgid "Shift to make smooth at cutoff" msgstr "Cambie para que el corte sea suave" #: ../calculator.py:681 msgid "GPAW parameters" msgstr "Parámetros de GPAW" #. label = gtk.Label("Specify the GPAW parameters here") #. pack(vbox, [label]) #. Print some info #: ../calculator.py:696 ../calculator.py:985 ../calculator.py:1473 #, python-format msgid "%i atoms.\n" msgstr "átomos %i.\n" #: ../calculator.py:698 #, python-format msgid "Orthogonal unit cell: %.2f x %.2f x %.2f Ã…." msgstr "Celda unitaria ortogonal: %.2f x %.2f x %.2f Ã…." #: ../calculator.py:700 msgid "Non-orthogonal unit cell:\n" msgstr "Celda unitaria no ortogonal:\n" #: ../calculator.py:710 ../calculator.py:1001 ../calculator.py:1488 msgid "Exchange-correlation functional: " msgstr "Funcional de intercambio y correlación: " #. Grid spacing #: ../calculator.py:714 msgid "Grid spacing" msgstr "Espacio de grilla" #: ../calculator.py:718 ../graphene.py:67 ../graphene.py:79 ../graphene.py:102 #: ../nanotube.py:47 ../surfaceslab.py:97 msgid "Ã…" msgstr "Ã…" #: ../calculator.py:719 msgid "Grid points" msgstr "Puntos de grilla" #: ../calculator.py:728 #, python-format msgid "heff = (%.3f, %.3f, %.3f) Ã…" msgstr "heff = (%.3f, %.3f, %.3f) Ã…" #: ../calculator.py:754 ../calculator.py:1016 ../calculator.py:1524 msgid "k-points k = (" msgstr "puntos k k=(" #: ../calculator.py:758 ../calculator.py:1020 #, python-format msgid "k-points x size: (%.1f, %.1f, %.1f) Ã…" msgstr "Tamaño de los puntos k: (%.1f, %.1f, %.1f) Ã…" #. Spin polarized #: ../calculator.py:763 ../calculator.py:1486 msgid "Spin polarized" msgstr "Polarizado de espín" #: ../calculator.py:769 msgid "FD - Finite Difference (grid) mode" msgstr "Modo de grilla tipo diferencias finitas" #: ../calculator.py:770 msgid "LCAO - Linear Combination of Atomic Orbitals" msgstr "LCAO - Combinaciones lineales de orbitales atómicos" #: ../calculator.py:773 msgid "Mode: " msgstr "Modo: " #: ../calculator.py:775 msgid "sz - Single Zeta" msgstr "sz - Single Zeta" #: ../calculator.py:776 msgid "szp - Single Zeta polarized" msgstr "szp - Single Zeta polarizado" #: ../calculator.py:777 msgid "dzp - Double Zeta polarized" msgstr "dzp - Doble Zeta polarizado" #. dzp #: ../calculator.py:779 msgid "Basis functions: " msgstr "Funciones base: " #. Mixer #: ../calculator.py:785 msgid "Non-standard mixer parameters" msgstr "Parámetros combinados no estándar" #: ../calculator.py:981 msgid "FHI-aims parameters" msgstr "Parámetros de FHI-aims" #: ../calculator.py:988 msgid "Periodic geometry, unit cell is:\n" msgstr "Geometría periódica, la celda unitaria es:\n" #: ../calculator.py:993 msgid "Non-periodic geometry.\n" msgstr "Geometría no periódica\n" #: ../calculator.py:1000 msgid "Hirshfeld-based dispersion correction" msgstr "Corrección a la dispersión basada en el método de Hirshfeld" #. Spin polarized, charge, relativity #: ../calculator.py:1026 msgid "Spin / initial moment " msgstr "Spin / momento inicial" #: ../calculator.py:1044 msgid " Charge" msgstr " Carga" #: ../calculator.py:1046 msgid " Relativity" msgstr " Relatividad" #: ../calculator.py:1048 msgid " Threshold" msgstr " Umbral" #. self-consistency criteria #: ../calculator.py:1053 msgid "Self-consistency convergence:" msgstr "Convergencia auto-consistente:" #: ../calculator.py:1066 msgid "Compute forces" msgstr "Calcule las fuerzas" #. XXX: use gtk table for layout. Spaces will not work well otherwise #. (depend on fonts, widget style, ...) #. TRANSLATORS: Don't care too much about these, just get approximately #. the same string lengths #: ../calculator.py:1077 msgid "Energy: " msgstr "Energía: " #: ../calculator.py:1079 msgid " eV Sum of eigenvalues: " msgstr " eV Suma de los autovalores: " #: ../calculator.py:1081 ../calculator.py:1559 msgid " eV" msgstr " eV" #: ../calculator.py:1082 msgid "Electron density: " msgstr "Densidad electrónica: " #: ../calculator.py:1084 msgid " Force convergence: " msgstr " Convergencia de la fuerza: " #: ../calculator.py:1086 msgid " eV/Ang " msgstr " eV/Ã… " #: ../calculator.py:1099 ../calculator.py:1570 msgid "Additional keywords: " msgstr "Palabras clave adicionales: " #. run command and species defaults: #: ../calculator.py:1113 msgid "FHI-aims execution command: " msgstr "Comando de ejecución por FHI-aims: " #: ../calculator.py:1115 ../calculator.py:1587 msgid "Directory for species defaults: " msgstr "Directorio para las especies por defecto: " #: ../calculator.py:1127 ../calculator.py:1595 msgid "Set Defaults" msgstr "Establecer por defecto" #: ../calculator.py:1129 msgid "Import control.in" msgstr "Importar control.in" #: ../calculator.py:1131 msgid "Export control.in" msgstr "Exportar control.in" #: ../calculator.py:1317 msgid "Export parameters ... " msgstr "Exportar parámetros ... " #: ../calculator.py:1337 msgid "Import control.in file ... " msgstr "Importar el archivo control.in ... " #: ../calculator.py:1393 ../calculator.py:1907 #, python-format msgid "" "Please use the facilities provided in this window to manipulate the keyword: " "%s!" msgstr "" "Por favor use las interfases previstas en esta ventana para manipular la " "palabra clave: \n" "%s!" #: ../calculator.py:1396 #, python-format msgid "" "Don't know this keyword: %s\n" "\n" "Please check!\n" "\n" "If you really think it should be available, please add it to the top of ase/" "calculators/aims.py." msgstr "" "No conozco la palabra clave %s\n" "\n" "Por favor, compruebe que la palabra clave esté correcta!\n" "\n" "Si usted realmente piensa que debería estar disponible, por favor agrégela " "al inicio de\n" "\n" "ase/calculators/aims.py" #: ../calculator.py:1469 msgid "VASP parameters" msgstr "Parámetros de VASP" #: ../calculator.py:1475 msgid "Periodic geometry, unit cell is: \n" msgstr "Geometría periódica, la celda unitaria es: \n" #: ../calculator.py:1527 msgid ") Cutoff: " msgstr ") radio de corte: " #: ../calculator.py:1528 msgid " Precision: " msgstr " Precisión: " #: ../calculator.py:1530 #, python-format msgid "k-points x size: (%.1f, %.1f, %.1f) Ã… " msgstr "Tamaño de los puntos k: (%.1f, %.1f, %.1f) Ã… " # Smearing: #: ../calculator.py:1546 msgid "Smearing: " msgstr "Smearing: " #: ../calculator.py:1548 msgid " order: " msgstr " orden: " #: ../calculator.py:1550 msgid " width: " msgstr " ancho: " #: ../calculator.py:1557 msgid "Self-consistency convergence: " msgstr "Convergencia auto-consistente: " #. run command and location of POTCAR files: #: ../calculator.py:1583 msgid "VASP execution command: " msgstr "Comando de ejecución de VASP: " #: ../calculator.py:1597 msgid "Import VASP files" msgstr "Importar archivos de VASP" #: ../calculator.py:1599 msgid "Export VASP files" msgstr "Exportar archivos de VASP" #: ../calculator.py:1810 msgid "WARNING: cutoff energy is lower than recommended minimum!" msgstr "" "ADVERTENCIA: ¡La energía de corte es más baja que el mínimo " "recomendado! " #: ../calculator.py:1862 msgid "Import VASP input files: choose directory ... " msgstr "Importando archivos de entrada de VASP: elija directorio ... " #: ../calculator.py:1877 msgid "Export VASP input files: choose directory ... " msgstr "Exportando archivos de salida de VASP: elija directorio ... " #: ../calculator.py:1910 #, python-format msgid "" "Don't know this keyword: %s\n" "Please check!\n" "\n" "If you really think it should be available, please add it to the top of ase/" "calculators/vasp.py." msgstr "" "No conozco esta palabra clave: %s\n" "¡Por favor, revísela!\n" "\n" "Si usted realmente cree que debería estar disponible, por favor\n" "agrégela al inicio del archivo\n" "calculators/vasp.py" #: ../colors.py:24 msgid "Colors" msgstr "Colores" #. Upper left: Choose how the atoms are colored. #: ../colors.py:41 msgid "Choose how the atoms are colored:" msgstr "Elija el color de los átomos:" #: ../colors.py:43 msgid "By atomic number, default \"jmol\" colors" msgstr "Por número atómico, colores de \"jmol\" por defecto" #: ../colors.py:45 msgid "By atomic number, user specified" msgstr "Por número atómico, especificado por el usuario" #: ../colors.py:46 msgid "By tag" msgstr "Por etiqueta" #: ../colors.py:47 msgid "By force" msgstr "Por fuerza" #: ../colors.py:48 msgid "By velocity" msgstr "Por velocidad" #: ../colors.py:49 msgid "Manually specified" msgstr "Especificado manualmente" #: ../colors.py:50 msgid "All the same color" msgstr "Todos del mismo color" #. Now fill in the box for additional information in case the force is used. #: ../colors.py:60 msgid "This should not be displayed!" msgstr "¡Esto no debería ser desplegado!" #: ../colors.py:65 ../colors.py:82 ../rotate.py:25 msgid "Update" msgstr "Actualizar" #: ../colors.py:67 ../colors.py:84 msgid "Min: " msgstr "Mín: " #: ../colors.py:69 ../colors.py:86 msgid " Max: " msgstr " Máx: " #: ../colors.py:71 ../colors.py:88 msgid " Steps: " msgstr " Pasos: " #: ../colors.py:95 msgid "Create a color scale:" msgstr "Crear una escala de colores:" #: ../colors.py:98 msgid "Black - white" msgstr "Negro - blanco" #: ../colors.py:99 msgid "Black - red - yellow - white" msgstr "Negro - rojo - amarillo - blanco" #: ../colors.py:100 msgid "Black - green - white" msgstr "Negro - verde - blanco" #: ../colors.py:101 msgid "Black - blue - cyan" msgstr "Negro - azul - cian" #: ../colors.py:102 msgid "Hue" msgstr "Tonalidad" #: ../colors.py:103 msgid "Named colors" msgstr "Colores con nombre" #: ../colors.py:109 msgid "Create" msgstr "Crear" #: ../colors.py:367 #, python-format msgid "Max force: %.2f (this frame), %.2f (all frames)" msgstr "Fuerza máx: %.2f (este cuadro), %.2f (todos los cuadros)" #: ../colors.py:369 #, python-format msgid "Max force: %.2f." msgstr "Fuerza máx: %.2f." #: ../colors.py:383 #, python-format msgid "Max velocity: %.2f (this frame), %.2f (all frames)" msgstr "Velocidad máxima: %.2f (este cuadro), %.2f (todos los cuadros)" #: ../colors.py:385 #, python-format msgid "Max velocity: %.2f." msgstr "Velocidad máxima: %.2f." #: ../colors.py:426 msgid "ERROR" msgstr "ERROR" #: ../colors.py:455 msgid "ERR" msgstr "ERR" #: ../colors.py:542 msgid "Incorrect color specification" msgstr "Especificación de color incorrecta" #: ../constraints.py:13 ../widgets.py:89 msgid "Constraints" msgstr "Restricciones" #: ../constraints.py:15 ../constraints.py:18 ../settings.py:17 #: ../widgets.py:91 ../widgets.py:94 msgid "Constrain" msgstr "Restricción" #: ../constraints.py:16 ../settings.py:20 ../settings.py:35 ../widgets.py:92 msgid " selected atoms" msgstr " átomos seleccionados" #: ../constraints.py:19 ../widgets.py:95 msgid " immobile atoms:" msgstr " átomos inamovibles:" #: ../constraints.py:21 msgid "Unconstrain" msgstr "Liberar restriccciones" #: ../constraints.py:22 msgid " selected atoms:" msgstr " átomos seleccionados:" #: ../constraints.py:24 msgid "Clear constraints" msgstr "Quitar las restricciones" #: ../constraints.py:26 ../dft.py:29 ../settings.py:53 ../widgets.py:60 #: ../widgets.py:99 msgid "Close" msgstr "Cerrar" #: ../crystal.py:16 msgid "" " Use this dialog to create crystal lattices. First select the structure,\n" " either from a set of common crystal structures, or by space group " "description.\n" " Then add all other lattice parameters.\n" "\n" " If an experimental crystal structure is available for an atom, you can\n" " look up the crystal type and lattice constant, otherwise you have to " "specify it\n" " yourself. " msgstr "" " Utilice este diálogo para crear estructuras cristalinas.\n" " Seleccione primero la estructura, desde un conjunto común\n" " de estructuras cristalinas ó desde la descripción del grupo\n" " espacial.\n" " Luego añada todos los parámetros de red.\n" "\n" " Si dispone de una estructura cristalina experimental para un\n" " átomo, puede buscar el tipo de cristal y la constante de red,\n" " de otra manera tendrá que especificarlas." #: ../crystal.py:33 #, python-format msgid " %(natoms)i atoms: %(symbols)s, Volume: %(volume).3f A3" msgstr " %(natoms)i átomos: %(symbols)s, Volumen: %(volume).3f A3" # Crear cristal por grupo espacial #: ../crystal.py:58 msgid "Create Bulk Crystal by Spacegroup" msgstr "Crear cristal por grupo espacial" #: ../crystal.py:72 msgid "Number: 1" msgstr "Número: 1" #: ../crystal.py:73 msgid "Lattice: " msgstr "Red: " #: ../crystal.py:73 msgid "\tSpace group: " msgstr "\tGrupo espacial: " # Tamaño: x: #: ../crystal.py:77 msgid "Size: x: " msgstr "Tamaño: x: " #: ../crystal.py:78 ../crystal.py:138 msgid " y: " msgstr " y: " #: ../crystal.py:79 ../crystal.py:139 msgid " z: " msgstr " z: " #: ../crystal.py:80 ../surfaceslab.py:127 ../surfaceslab.py:129 msgid " unit cells" msgstr " celdas unitarias" #: ../crystal.py:92 ../crystal.py:96 ../crystal.py:100 ../crystal.py:104 #: ../crystal.py:108 ../crystal.py:112 msgid "free" msgstr "libre" #: ../crystal.py:93 ../crystal.py:102 msgid "equals b" msgstr "igual a b" #: ../crystal.py:94 ../crystal.py:98 msgid "equals c" msgstr "igual a c" #: ../crystal.py:95 ../crystal.py:99 ../crystal.py:103 ../crystal.py:107 #: ../crystal.py:111 ../crystal.py:115 msgid "fixed" msgstr "fijo" #: ../crystal.py:97 ../crystal.py:101 msgid "equals a" msgstr "igual a a" #: ../crystal.py:105 ../crystal.py:114 msgid "equals beta" msgstr "igual a beta" #: ../crystal.py:106 ../crystal.py:110 msgid "equals gamma" msgstr "igual a gama" #: ../crystal.py:109 ../crystal.py:113 msgid "equals alpha" msgstr "igual a alfa" #: ../crystal.py:119 msgid "Lattice parameters" msgstr "Parámetros de red" #: ../crystal.py:120 msgid "\t\ta:\t" msgstr "\t\ta:\t" #: ../crystal.py:121 msgid "\talpha:\t" msgstr "\talfa:\t" #: ../crystal.py:122 msgid "\t\tb:\t" msgstr "\t\tb:\t" #: ../crystal.py:123 msgid "\tbeta:\t" msgstr "\tbeta:\t" #: ../crystal.py:124 msgid "\t\tc:\t" msgstr "\t\tc:\t" #: ../crystal.py:125 msgid "\tgamma:\t" msgstr "\tgamma:\t" #: ../crystal.py:126 ../surfaceslab.py:99 msgid "Get from database" msgstr "Obtener desde la base de datos" #: ../crystal.py:131 msgid "Basis: " msgstr "Base: " #: ../crystal.py:137 msgid " Element:\t" msgstr " Elemento:%t" #: ../crystal.py:137 msgid "\tx: " msgstr "\tx: " #: ../crystal.py:157 msgid "Creating a crystal." msgstr "Creando un cristal." #: ../crystal.py:202 #, python-format msgid "Symbol: %s" msgstr "Símbolo: %s" #: ../crystal.py:207 #, python-format msgid "Number: %s" msgstr "Número: %s" #: ../crystal.py:210 msgid "Invalid Spacegroup!" msgstr "¡Grupo espacial inválido!" #: ../crystal.py:336 ../crystal.py:339 msgid "Please specify a consistent set of atoms." msgstr "Por favor, especifique un conjunto consistente de átomos." #: ../crystal.py:348 ../graphene.py:230 ../nanoparticle.py:613 #: ../nanotube.py:139 ../surfaceslab.py:248 msgid "No valid atoms." msgstr "Los átomos no son válidos." #: ../crystal.py:465 msgid "Can't find lattice definition!" msgstr "¡No puedo encontrar la definición de red!" #: ../debug.py:11 msgid "Debug" msgstr "Depurar" #: ../dft.py:13 msgid "DFT" msgstr "DFT" #: ../dft.py:19 msgid "XC-functional: " msgstr "Funcional de XC: " #: ../dft.py:23 ../repeat.py:16 msgid "Repeat atoms:" msgstr "Repetir átomos:" #: ../energyforces.py:11 msgid "Output:" msgstr "Salida:" #: ../energyforces.py:41 msgid "Save output" msgstr "Guardar salida" #: ../energyforces.py:57 msgid "Potential energy and forces" msgstr "Energía potencial y fuerzas" #: ../energyforces.py:61 msgid "Calculate potential energy and the force on all atoms" msgstr "Calcular la energía potencial y la fuerza en todos los átomos" #: ../energyforces.py:65 msgid "Write forces on the atoms" msgstr "Escribir las fuerzas en los átomos" #: ../energyforces.py:82 msgid "Potential Energy:\n" msgstr "Energía potencial:\n" #: ../energyforces.py:83 #, python-format msgid " %8.2f eV\n" msgstr " %8.2f eV\n" #: ../energyforces.py:84 #, python-format msgid "" " %8.4f eV/atom\n" "\n" msgstr "" " %8.4f eV/átomo\n" "\n" #: ../energyforces.py:86 msgid "Forces:\n" msgstr "Fuerzas:\n" #: ../execute.py:23 msgid "" "\n" " Global commands work on all frames or only on the current frame\n" " - Assignment of a global variable may not reference a local one\n" " - use 'Current frame' switch to switch off application to all frames\n" " e:\t\ttotal energy of one frame\n" " fmax:\tmaximal force in one frame\n" " A:\tunit cell\n" " E:\t\ttotal energy array of all frames\n" " F:\t\tall forces in one frame\n" " M:\tall magnetic moments\n" " R:\t\tall atomic positions\n" " S:\tall selected atoms (boolean array)\n" " D:\tall dynamic atoms (boolean array)\n" " examples: frame = 1, A[0][1] += 4, e-E[-1]\n" "\n" " Atom commands work on each atom (or a selection) individually\n" " - these can use global commands on the RHS of an equation\n" " - use 'selected atoms only' to restrict application of command\n" " x,y,z:\tatomic coordinates\n" " r,g,b:\tatom display color, range is [0..1]\n" " rad:\tatomic radius for display\n" " s:\t\tatom is selected\n" " d:\t\tatom is movable\n" " f:\t\tforce\n" " Z:\tatomic number\n" " m:\tmagnetic moment\n" " examples: x -= A[0][0], s = z > 5, Z = 6\n" "\n" " Special commands and objects:\n" " sa,cf:\t(un)restrict to selected atoms/current frame\n" " frame:\tframe number\n" " center:\tcenters the system in its existing unit cell\n" " del S:\tdelete selection\n" " CM:\tcenter of mass\n" " ans[-i]:\tith last calculated result\n" " exec file: executes commands listed in file\n" " cov[Z]:(read only): covalent radius of atomic number Z\n" " gui:\tadvanced: ag window python object\n" " img:\tadvanced: ag images object\n" " " msgstr "" "\n" " Los comandos globales funcionan tanto en todos los cuadros como\n" " en el cuadro actual\n" " - La asignación de una variable global puede no ser refernciada\n" " a una local.\n" " - Utilice el interruptor 'Cuadro actual' para apagar la aplicación\n" " a todos los cuadros.\n" " e: energía total de un cuadro\n" " fmáx: fuerza máxima en un cuadro\n" " A: celda unitaria\n" " E: arreglo con las energías totales en todos los cuadros\n" " F: todas las fuerzas en un cuadro\n" " M: todos los momentos magnéticos\n" " R: todas las posiciones atómicas\n" " S: arreglo booleano, todos los átomos seleccionados\n" " D: arreglo booleano, todos los átomos dinámicos\n" " Ejemplos: cuadro = 1, A[0][1] += 4, e-E[-1]\n" "\n" " Los comandos atómicos funcionan en una selección o en cada uno de\n" " los átomos.\n" " - Éstos pueden utilizar comandos globales en el lado derecho de\n" " una ecuación.\n" " - Utilice 'Sólo los átomos seleccionados' para restringir la\n" " aplicación del comando.\n" " x,y,z: coordenadas atómicas\n" " r,g,b: color del átomo, el rango es [0..1]\n" " rad: radio atómico a mostrar\n" " s: átomo es seleccionado\n" " d: átomo es movible\n" " f: fuerza\n" " Z: número atómico\n" " m: momento magnético\n" " ejemplos: x -= A[0][0], s = z > 5, Z = 6\n" "\n" " Comandos especiales y objetos:\n" " sa,cf:(un)restrict to selected atoms/current frame\n" " cuadro: número del cuadro\n" " centrar: centra el sistema con respecto a su celda unitaria\n" " borra S: borra la selección\n" " CM: centro de masa\n" " ans[-i]: el i-ésimo resultado calculado\n" " exec archivo: ejecuta el comando listado en archivo\n" " cov[Z]:(sólo lectura): radio covalente del número atómico Z\n" " gui:avanzado: objeto de Pythom, ventana de ag\n" " img:avanzado: objeto de imágenes de ag\n" " " #: ../execute.py:67 msgid "Expert user mode" msgstr "Modo de usuario experto" #: ../execute.py:80 msgid "Welcome to the ASE Expert user mode" msgstr "Bienvenido al modo de usuario experto de ASE" #: ../execute.py:87 msgid "Only selected atoms (sa) " msgstr "Sólo los átomos seleccionados (sa) " #: ../execute.py:89 msgid "Only current frame (cf) " msgstr "Sólo el cuadro actual (cf) " #: ../execute.py:99 msgid "" "Global: Use A, D, E, M, N, R, S, n, frame; Atoms: Use a, f, m, s, x, y, z, " "Z " msgstr "" "Global: utilice los cuadros A, D, E, M, N, R, S y n; Ãtomos: utilice a, f, " "m, s, x, y, z y Z" #: ../execute.py:198 #, python-format msgid "*** WARNING: file does not exist - %s" msgstr "*** ADVERTENCIA: el archivo no existe - %s" #: ../execute.py:203 msgid "*** WARNING: No atoms selected to work with" msgstr "***ADVERTENCIA: No hay átomos seleccionados para trabajar" #: ../execute.py:277 msgid "*** Only working on selected atoms" msgstr "*** Trabajando sólo en los átomos seleccionados" #: ../execute.py:279 msgid "*** Working on all atoms" msgstr "*** Trabajando en todos los átomos" #: ../execute.py:283 msgid "*** Only working on current image" msgstr "*** Trabajando solamente en la imagen actual" #: ../execute.py:285 msgid "*** Working on all images" msgstr "*** Trabajando en todas las imágenes" #: ../execute.py:301 msgid "Save Terminal text ..." msgstr "Guarde texto a Terminal ..." #: ../graphene.py:15 msgid "" "Set up a graphene sheet or a graphene nanoribbon. A nanoribbon may\n" "optionally be saturated with hydrogen (or another element)." msgstr "" "Configure una sábana de grafeno o una nanocinta. Opcionalmente,\n" "la nanocinta puede ser saturada con hidrógeno u otro elemento." #: ../graphene.py:30 ../gui.py:298 msgid "Graphene" msgstr "Grafeno" #. Choose structure #. The structure and lattice constant #. Choose the surface structure #: ../graphene.py:37 ../nanoparticle.py:138 ../surfaceslab.py:78 msgid "Structure: " msgstr "Estructura: " #: ../graphene.py:39 msgid "Infinite sheet" msgstr "Sábana infinita" #: ../graphene.py:39 msgid "Unsaturated ribbon" msgstr "Cinta no saturada" #: ../graphene.py:40 msgid "Saturated ribbon" msgstr "Cinta saturada" #. Orientation #: ../graphene.py:47 msgid "Orientation: " msgstr "Orientación: " #: ../graphene.py:50 msgid "zigzag" msgstr "Zigzag" #: ../graphene.py:50 msgid "armchair" msgstr "Sillón" #: ../graphene.py:66 ../graphene.py:78 ../nanotube.py:46 msgid " Bond length: " msgstr " Largo del enlace: " #. Choose the saturation element and bond length #: ../graphene.py:72 msgid "Saturation: " msgstr "Saturación: " #: ../graphene.py:75 msgid "H" msgstr "H" #. Size #: ../graphene.py:91 msgid "Width: " msgstr "Ancho: " #: ../graphene.py:92 ../nanotube.py:65 msgid " Length: " msgstr " Largo: " #. Vacuum #: ../graphene.py:100 msgid "Vacuum: " msgstr "Vacío: " #: ../graphene.py:138 ../nanotube.py:96 ../setupwindow.py:32 msgid " No element specified!" msgstr " ¡No se especifica el elemento!" #: ../graphene.py:231 ../nanoparticle.py:614 ../nanotube.py:140 #: ../pybutton.py:49 ../surfaceslab.py:249 msgid "You have not (yet) specified a consistent set of parameters." msgstr "No ha especificado aún un conjunto consistente de parámetros." #: ../graphs.py:19 msgid "Help for plot ..." msgstr "Ayuda para graficar ..." #: ../graphs.py:30 ../graphs.py:33 msgid "Plot" msgstr "Graficar" #: ../graphs.py:38 msgid "clear" msgstr "Limpiar" #: ../graphs.py:92 msgid "Save data to file ... " msgstr "Salve los datos a un archivo ..." #: ../gtkexcepthook.py:117 msgid "Bug Detected" msgstr "Error detectado" #: ../gtkexcepthook.py:121 msgid "A programming error has been detected." msgstr "Un error de programación ha sido detectado." #: ../gtkexcepthook.py:124 msgid "" "It probably isn't fatal, but the details should be reported to the " "developers nonetheless." msgstr "" "Probablemente no es fatal. Sin embargo, los detalles deberían\n" "ser reportados a los desarrolladores." #: ../gtkexcepthook.py:140 msgid "Report..." msgstr "Reporte..." #: ../gtkexcepthook.py:144 msgid "Details..." msgstr "Detalles..." #: ../gtkexcepthook.py:160 #, python-format msgid "" "From: buggy_application\"\n" "To: bad_programmer\n" "Subject: Exception feedback\n" "\n" "%s" msgstr "" "Desde: buggy_application\"\n" "A: bad_programmer\n" "Asunto: Retroalimentación de un error\n" "\n" "%s" #. Show details... #: ../gtkexcepthook.py:173 msgid "Bug Details" msgstr "Detalles del error" #: ../gui.py:164 msgid "_File" msgstr "_Archivo" #: ../gui.py:165 msgid "_Edit" msgstr "_Editar" #: ../gui.py:166 msgid "_View" msgstr "_Ver" #: ../gui.py:167 msgid "_Tools" msgstr "_Herramientas" #. TRANSLATORS: Set up (i.e. build) surfaces, nanoparticles, ... #: ../gui.py:169 msgid "_Setup" msgstr "_Configurar" #: ../gui.py:170 msgid "_Calculate" msgstr "_Calcular" #: ../gui.py:171 msgid "_Help" msgstr "_Ayuda" #: ../gui.py:172 msgid "_Open" msgstr "_Abrir" #: ../gui.py:173 msgid "Create a new file" msgstr "Crear un archivo nuevo" #: ../gui.py:175 msgid "_New" msgstr "_Nuevo" #: ../gui.py:176 msgid "New ase.gui window" msgstr "Nueva ventana ase.gui" #: ../gui.py:178 msgid "_Save" msgstr "_Guardar" #: ../gui.py:179 msgid "Save current file" msgstr "Guardar archivo actual" #: ../gui.py:181 msgid "_Quit" msgstr "_Salir" #: ../gui.py:182 msgid "Quit" msgstr "Salir" #: ../gui.py:184 msgid "Select _all" msgstr "Seleccionar _todo" #: ../gui.py:187 msgid "_Invert selection" msgstr "_Invertir selección" #: ../gui.py:190 msgid "Select _constrained atoms" msgstr "Seleccionar los átomos _restringidos" #: ../gui.py:193 msgid "Select _immobile atoms" msgstr "Seleccionar los átomos _inmóbiles" #: ../gui.py:196 msgid "_Copy" msgstr "_Copiar" #: ../gui.py:197 msgid "Copy current selection and its orientation to clipboard" msgstr "Copiar la selección actual y su orientación" #: ../gui.py:199 msgid "_Paste" msgstr "_Pegar" #: ../gui.py:200 msgid "Insert current clipboard selection" msgstr "Insertar selección actual" #: ../gui.py:202 msgid "_Modify" msgstr "_Modificar" #: ../gui.py:203 msgid "Change tags, moments and atom types of the selected atoms" msgstr "" "Cambiar etiquetas, momentos magnéticos y tipo de los átomos seleccionados" #: ../gui.py:205 msgid "_Add atoms" msgstr "_Añadir átomos" #: ../gui.py:206 msgid "Insert or import atoms and molecules" msgstr "Insertar o importar átomos y moléculas" #: ../gui.py:208 msgid "_Delete selected atoms" msgstr "_Borrar átomos seleccionados" #: ../gui.py:209 msgid "Delete the selected atoms" msgstr "Borrar los átomos seleccionados" #: ../gui.py:211 msgid "_First image" msgstr "_Primera imagen" #: ../gui.py:214 msgid "_Previous image" msgstr "_Imagen previa" #: ../gui.py:217 msgid "_Next image" msgstr "_Próxima imagen" #: ../gui.py:220 msgid "_Last image" msgstr "Ú_ltima imagen" #: ../gui.py:223 msgid "Quick Info ..." msgstr "Información rápida ..." #: ../gui.py:226 msgid "Repeat ..." msgstr "Repetir ..." #: ../gui.py:229 msgid "Rotate ..." msgstr "Rotar ..." #: ../gui.py:232 msgid "Colors ..." msgstr "Colores ..." #. TRANSLATORS: verb #: ../gui.py:235 msgid "Focus" msgstr "Enfocar" #: ../gui.py:238 msgid "Zoom in" msgstr "Ampliar" #: ../gui.py:241 msgid "Zoom out" msgstr "Alejar" #: ../gui.py:244 msgid "Reset View" msgstr "Reiniciar la vista" #: ../gui.py:247 msgid "Settings ..." msgstr "Ajustes ..." #: ../gui.py:250 msgid "VMD" msgstr "VMD" #: ../gui.py:253 msgid "RasMol" msgstr "RasMol" #: ../gui.py:256 msgid "xmakemol" msgstr "xmakemol" #: ../gui.py:259 msgid "avogadro" msgstr "avogadro" #: ../gui.py:262 msgid "Graphs ..." msgstr "Gráficos ..." #: ../gui.py:265 msgid "Movie ..." msgstr "Película ..." #: ../gui.py:268 msgid "Expert mode ..." msgstr "Modo experto ..." #: ../gui.py:271 msgid "Constraints ..." msgstr "Restricciones ..." #: ../gui.py:274 msgid "Render scene ..." msgstr "Dibujar escena ... " #: ../gui.py:277 msgid "DFT ..." msgstr "DFT ..." #: ../gui.py:280 msgid "NE_B" msgstr "NE_B" #: ../gui.py:283 msgid "B_ulk Modulus" msgstr "Módulo de b_ulto" #: ../gui.py:286 msgid "_Bulk Crystal" msgstr "Cristal en _bulto" #: ../gui.py:287 msgid "Create a bulk crystal with arbitrary orientation" msgstr "Crear un cristal en bulto con orientación arbitraria" #: ../gui.py:289 msgid "_Surface slab" msgstr "Trozo de _superficie" #: ../gui.py:290 msgid "Create the most common surfaces" msgstr "Crear las superficies más comunes" #: ../gui.py:292 msgid "_Nanoparticle" msgstr "_Nanopartícula" #: ../gui.py:293 msgid "Create a crystalline nanoparticle" msgstr "Crear una nanoparticula cristalina" #: ../gui.py:295 msgid "Nano_tube" msgstr "Nano_tubo" #: ../gui.py:296 msgid "Create a nanotube" msgstr "Crear un nanotubo" #: ../gui.py:299 msgid "Create a graphene sheet or nanoribbon" msgstr "Crear una sábana de grafeno o una nanocinta" #: ../gui.py:301 msgid "Set _Calculator" msgstr "Fijar el _calculador" #: ../gui.py:302 msgid "Set a calculator used in all calculation modules" msgstr "Fijar un calculador utilizado en todos los módulos de cálculo" #: ../gui.py:304 msgid "_Energy and Forces" msgstr "_Energía y Fuerzas" #: ../gui.py:305 msgid "Calculate energy and forces" msgstr "Calcular energía y fuerzas" #: ../gui.py:307 msgid "Energy _Minimization" msgstr "_Minimización de energía" #: ../gui.py:308 msgid "Minimize the energy" msgstr "Minimize la energía" #: ../gui.py:310 msgid "Scale system" msgstr "Escale el sistema" #: ../gui.py:311 msgid "Deform system by scaling it" msgstr "Deforme el sistema escalándolo" #: ../gui.py:313 msgid "_About" msgstr "_Acerca de ag" #: ../gui.py:316 msgid "Webpage ..." msgstr "Página web ..." #: ../gui.py:317 msgid "Debug ..." msgstr "Quitar errores" #: ../gui.py:319 msgid "Show _unit cell" msgstr "Mostrar la celda _unitaria" #: ../gui.py:323 msgid "Show _axes" msgstr "Mostrar los _ejes" #: ../gui.py:327 msgid "Show _bonds" msgstr "Mostrar los _enlaces" #: ../gui.py:331 msgid "_Move atoms" msgstr "_Mover los átomos" #: ../gui.py:335 msgid "_Rotate atoms" msgstr "_Rotar los átomos" #: ../gui.py:339 msgid "Orien_t atoms" msgstr "Orien_tar los átomos" #: ../gui.py:351 #, python-format msgid "building menus failed: %s" msgstr "La construcción de los menús ha fallado: %s" #: ../gui.py:620 ../gui.py:1016 ../gui.py:1076 msgid "Open ..." msgstr "Abrir ..." #: ../gui.py:624 ../gui.py:1019 msgid "<>" msgstr "<>" #: ../gui.py:756 msgid "Add atoms" msgstr "Agregar átomos" #: ../gui.py:759 msgid "Paste" msgstr "Pegar" #: ../gui.py:765 msgid "Insert atom or molecule" msgstr "Insertar átomo o molécula" #: ../gui.py:766 ../gui.py:883 msgid "Tag" msgstr "Etiqueta" #: ../gui.py:767 ../gui.py:884 msgid "Moment" msgstr "Momento magnético" #: ../gui.py:768 msgid "Position" msgstr "Posición" #: ../gui.py:793 msgid "_Load molecule" msgstr "_Cargar molécula" #: ../gui.py:797 ../gui.py:899 msgid "_OK" msgstr "_OK" #: ../gui.py:801 ../gui.py:903 msgid "_Cancel" msgstr "_Cancelar" #: ../gui.py:876 msgid "Modify" msgstr "Modificar" #: ../gui.py:882 msgid "Atom" msgstr "Ãtomo" #: ../gui.py:927 msgid "Confirmation" msgstr "Confirmación" #: ../gui.py:931 msgid "Delete selected atom?" msgid_plural "Delete selected atoms?" msgstr[0] "¿Borrar el átomo seleccionado?" msgstr[1] "¿Borrar los átomos seleccionados?" #: ../gui.py:938 msgid "Cancel" msgstr "Cancelar" #: ../gui.py:1024 ../gui.py:1106 msgid "Automatic" msgstr "Automático" #: ../gui.py:1025 msgid "Dacapo netCDF output file" msgstr "Archivo de salida Dacapo (.netCDF)" #: ../gui.py:1026 msgid "Virtual Nano Lab file" msgstr "Archivo Virtual Nano Lab" #: ../gui.py:1027 msgid "ASE pickle trajectory" msgstr "Trajectoria ASE pickle" #: ../gui.py:1028 ../gui.py:1119 msgid "ASE bundle trajectory" msgstr "Trajectoria ASE ligada" #: ../gui.py:1029 msgid "GPAW text output" msgstr "Archivo de salida de texto (GPAW)" #: ../gui.py:1030 msgid "CUBE file" msgstr "Archivo CUBE" #: ../gui.py:1031 msgid "XCrySDen Structure File" msgstr "Archivo de estructura XCrySDen" #: ../gui.py:1032 msgid "Dacapo text output" msgstr "Archivo de salida de texto (Dacapo)" #: ../gui.py:1033 msgid "XYZ-file" msgstr "Archivo XYZ" #: ../gui.py:1034 msgid "VASP POSCAR/CONTCAR file" msgstr "Archivo POSCAR/CONTCAR (VASP)" #: ../gui.py:1035 msgid "VASP OUTCAR file" msgstr "Archivo OUTCAR (VASP)" #: ../gui.py:1036 msgid "Protein Data Bank" msgstr "Banco de datos de proteínas" #: ../gui.py:1037 msgid "CIF-file" msgstr "Archivo CIF" #: ../gui.py:1038 msgid "FHI-aims geometry file" msgstr "Archivo de geometría (FHI-aims)" #: ../gui.py:1039 msgid "FHI-aims output file" msgstr "Archivo de salida (FHI-aims)" #: ../gui.py:1040 msgid "TURBOMOLE coord file" msgstr "Archivo de coordenadas (TURBOMOLE)" #: ../gui.py:1041 msgid "exciting input" msgstr "Archivo de entrada (exciting)" #: ../gui.py:1042 msgid "WIEN2k structure file" msgstr "Archivo de estructura (WIEN2k)" #: ../gui.py:1043 msgid "DftbPlus input file" msgstr "Archivo de entrada (DFTBPlus)" #: ../gui.py:1044 msgid "ETSF format" msgstr "Formato ETSF" #: ../gui.py:1045 ../gui.py:1117 msgid "CASTEP geom file" msgstr "Archivo de geometría (CASTEP)" #: ../gui.py:1046 msgid "CASTEP output file" msgstr "Archivo de salida (CASTEP)" #: ../gui.py:1047 msgid "CASTEP trajectory file" msgstr "Archivo de trajectoria (CASTEP)" #: ../gui.py:1048 msgid "DFTBPlus GEN format" msgstr "Formato GEN (DFTBPlus)" #: ../gui.py:1054 msgid "File type:" msgstr "Tipo de archivo:" #: ../gui.py:1094 msgid "Save ..." msgstr "Guardar ..." #: ../gui.py:1107 msgid "XYZ file" msgstr "Archivo XYZ" #: ../gui.py:1108 msgid "ASE trajectory" msgstr "Trajectoria ASE" #: ../gui.py:1109 msgid "PDB file" msgstr "Archivo PDB" #: ../gui.py:1110 msgid "Gaussian cube file" msgstr "Archivo cube (Gaussian)" #: ../gui.py:1111 msgid "Python script" msgstr "Script de Python" #: ../gui.py:1112 msgid "VNL file" msgstr "Archivo VNL" #: ../gui.py:1113 msgid "Portable Network Graphics" msgstr "Archivo PNG" #: ../gui.py:1114 msgid "Persistence of Vision" msgstr "Archivo POV" #: ../gui.py:1115 msgid "Encapsulated PostScript" msgstr "Archivo EPS" #: ../gui.py:1116 msgid "FHI-aims geometry input" msgstr "Geometría de entrada (FHI-aims)" #: ../gui.py:1118 msgid "VASP geometry input" msgstr "Geometría de entrada (VASP)" #: ../gui.py:1120 msgid "cif file" msgstr "Archivo cif" #: ../gui.py:1142 #, python-format msgid "Save current image only (#%d)" msgstr "Guardar solamente la imagen actual (#%d)" #: ../gui.py:1146 msgid "Slice: " msgstr "Trozo: " #: ../gui.py:1147 msgid "Help for slice ..." msgstr "Ayuda para trozar ..." #: ../gui.py:1159 msgid "AG INTERNAL ERROR: strange response in Save," msgstr "ERROR INTERNO DE AG: respuesta extraña en guardar," #: ../gui.py:1178 msgid "Unknown output format!" msgstr "¡Formato de salida desconocido!" #: ../gui.py:1179 #, python-format msgid "Use one of: %s" msgstr "Use uno de: %s" #: ../gui.py:1284 msgid "Not implemented!" msgstr "No implementado!" #: ../gui.py:1285 msgid "do you really need it?" msgstr "¿realmente necesita esto?" #: ../minimize.py:20 msgid "Algorithm: " msgstr "Algoritmo: " #: ../minimize.py:25 ../progress.py:67 msgid "Convergence criterion: Fmax = " msgstr "Criterio de convergencia: Fmáx = " #: ../minimize.py:30 ../progress.py:70 msgid "Max. number of steps: " msgstr "Número máximo de pasos: " #. Special stuff for MDMin #: ../minimize.py:33 msgid "Pseudo time step: " msgstr "Paso de pseudotiempo: " #: ../minimize.py:54 msgid "Energy minimization" msgstr "Minimización de energía" #: ../minimize.py:58 msgid "Minimize the energy with respect to the positions." msgstr "Minimize la energía con respecto a las posiciones." #. Don't catch errors in the function. #. Display status message #: ../minimize.py:90 ../scaling.py:299 msgid "Running ..." msgstr "Calculando ..." #. Update display to reflect cancellation of simulation. #: ../minimize.py:107 #, python-format msgid "Minimization CANCELLED after %i steps." msgstr "Minimización CANCELADO después de %i iteraciones." #: ../minimize.py:113 ../scaling.py:350 msgid "Out of memory, consider using LBFGS instead" msgstr "No hay más memoria, considere usar el algoritmo LBFGS" #. Update display to reflect succesful end of simulation. #: ../minimize.py:120 #, python-format msgid "Minimization completed in %i steps." msgstr "Minimización hecha en %i pasos." #. self.connect('delete_event', self.exit2) #: ../movie.py:14 msgid "Movie" msgstr "Película" #: ../movie.py:16 msgid "Image number:" msgstr "Imagen número:" #: ../movie.py:38 msgid "Play" msgstr "Reproducir" #: ../movie.py:40 msgid "Stop" msgstr "Detener" #. TRANSLATORS: This function plays an animation forwards and backwards #. alternatingly, e.g. for displaying vibrational movement #: ../movie.py:44 msgid "Rock" msgstr "Repetir cuadro" #: ../movie.py:60 msgid " Frame rate: " msgstr "Velocidad del cuadro: " #: ../movie.py:61 msgid " Skip frames: " msgstr "Saltar los cuadros: " #: ../nanoparticle.py:19 msgid "" "Create a nanoparticle either by specifying the number of layers, or using " "the\n" "Wulff construction. Please press the [Help] button for instructions on how " "to\n" "specify the directions.\n" "WARNING: The Wulff construction currently only works with cubic crystals!\n" msgstr "" "Crear una nanopartícula especificando el número de capas,\n" "ó utilizando la construcción de Wulff. Por favor, presione\n" "el boton de ayuda para leer las instrucciones sobre cómo\n" "especificar las direcciones.\n" "¡ADVERTENCIA: En esta versión, la construcción de Wulff \n" "sólo funciona para cristales cúbicos!\n" #: ../nanoparticle.py:26 msgid "" "\n" "The nanoparticle module sets up a nano-particle or a cluster with a given\n" "crystal structure.\n" "\n" "1) Select the element, the crystal structure and the lattice constant(s).\n" " The [Get structure] button will find the data for a given element.\n" "\n" "2) Choose if you want to specify the number of layers in each direction, or " "if\n" " you want to use the Wulff construction. In the latter case, you must " "specify\n" " surface energies in each direction, and the size of the cluster.\n" "\n" "How to specify the directions:\n" "------------------------------\n" "\n" "First time a direction appears, it is interpreted as the entire family of\n" "directions, i.e. (0,0,1) also covers (1,0,0), (-1,0,0) etc. If one of " "these\n" "directions is specified again, the second specification overrules that " "specific\n" "direction. For this reason, the order matters and you can rearrange the\n" "directions with the [Up] and [Down] keys. You can also add a new " "direction,\n" "remember to press [Add] or it will not be included.\n" "\n" "Example: (1,0,0) (1,1,1), (0,0,1) would specify the {100} family of " "directions,\n" "the {111} family and then the (001) direction, overruling the value given " "for\n" "the whole family of directions.\n" msgstr "" "\n" "Este módulo crea una nanopartícula o un cúmulo dada una\n" "estructura cristalina.\n" "\n" "1) Seleccione el elemento, la estructura cristalina y la(s)\n" " constante(s) de red. El botón \"Obtener estructura\" \n" " encontrará los datos para el elemento seleccionado.\n" "\n" "2) Elija si desea especificar el número de capas en cada \n" " dirección, o si desea utilizar la construcción de Wulff.\n" " En el último caso, se debe especificar las energías de \n" " superficie en cada dirección, y el tamaño del cúmulo.\n" "\n" "Cómo especificar las direcciones:\n" "---------------------------------\n" "\n" "La primera vez una dirección aparece, la cual es interpretada\n" "como la familia completa de las direcciones, es decir, (0,0,1)\n" "también cubre la dirección (1,0,0), (-1,0,0) etc. Si una de estas\n" "direcciones es especificada nuevamente, la segunda especificación\n" "reemplaza esa dirección en específico. Debido a esto, el orden\n" "importa y se puede rearreglar la dirección con los botones Arriba y\n" "Abajo. También se puede añadir una nueva dirección, recuerde presionar\n" "el botón Añadir o ésta no será incluida.\n" "\n" "Ejemplo: (1,0,0) (1,1,1), (0,0,1) especificará la familia {100} de\n" "direcciones, la familia {111} y luego la dirección (001), \n" "sobreescribiendo el valor dado por toda la familia de direcciones.\n" #. Structures: Abbreviation, name, 4-index (boolean), two lattice const (bool), factory #: ../nanoparticle.py:83 msgid "Face centered cubic (fcc)" msgstr "Cúbico centrado en las caras (fcc)" #: ../nanoparticle.py:84 msgid "Body centered cubic (bcc)" msgstr "Cúbico centrado en el cuerpo (bcc)" #: ../nanoparticle.py:85 msgid "Simple cubic (sc)" msgstr "Cúbico simple (sc)" #: ../nanoparticle.py:86 msgid "Hexagonal closed-packed (hcp)" msgstr "Empacamiento hexagonal cerrado (hcp)" #: ../nanoparticle.py:87 msgid "Graphite" msgstr "Grafito" #: ../nanoparticle.py:116 msgid "Nanoparticle" msgstr "Nanopartícula" #. Choose the element #. Choose the element and bond length #. Choose the element #: ../nanoparticle.py:126 ../nanotube.py:40 ../surfaceslab.py:69 msgid "Element: " msgstr "Elemento: " #: ../nanoparticle.py:130 msgid "Get structure" msgstr "Obtener la estructura" #: ../nanoparticle.py:154 msgid "Lattice constant: a =" msgstr "Constante de red: a =" #. Choose specification method #: ../nanoparticle.py:171 msgid "Method: " msgstr "Método: " #: ../nanoparticle.py:173 msgid "Layer specification" msgstr "Especificación de capas" #: ../nanoparticle.py:173 msgid "Wulff construction" msgstr "Construcción de Wulff" #: ../nanoparticle.py:193 msgid "Dummy placeholder object" msgstr "Objeto marcador de posición ficticia" #: ../nanoparticle.py:195 msgid "Add new direction:" msgstr "Agregar nueva dirección:" #: ../nanoparticle.py:211 msgid "Add" msgstr "Agregar" #: ../nanoparticle.py:219 msgid "Set all directions to default values" msgstr "Fijar en todas las direcciones los valores por defecto" #: ../nanoparticle.py:227 msgid "Particle size: " msgstr "Tamaño de la partícula: " #: ../nanoparticle.py:228 ../nanoparticle.py:265 ../progress.py:196 msgid "Number of atoms: " msgstr "Número de átomos: " #: ../nanoparticle.py:233 msgid "Volume: " msgstr "Volumen: " #: ../nanoparticle.py:238 msgid "ų" msgstr "ų" #: ../nanoparticle.py:243 msgid "Rounding: If exact size is not possible, choose the size" msgstr "Redondear: si el tamaño exacto no es posible, elegir el tamaño" #: ../nanoparticle.py:246 msgid "above " msgstr "sobre " #: ../nanoparticle.py:247 msgid "below " msgstr "abajo " #: ../nanoparticle.py:248 msgid "closest " msgstr "más cercano " #: ../nanoparticle.py:251 msgid "Smaller" msgstr "Mas pequeño" #: ../nanoparticle.py:252 msgid "Larger" msgstr "Más largo" #: ../nanoparticle.py:267 msgid " Approx. diameter: " msgstr " Diámetro aproximado: " #: ../nanoparticle.py:271 msgid "Information about the created cluster:" msgstr "Información sobre el cluster creado:" #. Buttons #: ../nanoparticle.py:277 ../nanotube.py:75 msgid "Creating a nanoparticle." msgstr "Creando una nanopartícula." #: ../nanoparticle.py:284 msgid "Automatic Apply" msgstr "Aplicar automáticamente" #: ../nanoparticle.py:332 msgid "Up" msgstr "Arriba" #: ../nanoparticle.py:337 msgid "Down" msgstr "Abajo" #: ../nanoparticle.py:342 msgid "Delete" msgstr "Borrar" #: ../nanoparticle.py:383 msgid "Surface energies (as energy/area, NOT per atom):" msgstr "Energía de superficie (se reporta energía por área, NO por átomo):" #: ../nanoparticle.py:389 msgid "Number of layers:" msgstr "Número de capas:" #: ../nanoparticle.py:418 msgid "At least one index must be non-zero" msgstr "Al menos un índice debe ser distinto de cero" #: ../nanoparticle.py:421 msgid "Invalid hexagonal indices" msgstr "Ãndices hexagonales inválidos" #: ../nanoparticle.py:476 ../surfaceslab.py:218 msgid "Invalid element." msgstr "Elemento inválido." #: ../nanoparticle.py:486 msgid "Unsupported or unknown structure" msgstr "Estructura no soportada o desconocida" #: ../nanoparticle.py:603 #, python-format msgid "%.1f Ã…" msgstr "%.1f Ã…" #: ../nanotube.py:14 msgid "" "Set up a Carbon nanotube by specifying the (n,m) roll-up vector.\n" "Please note that m <= n.\n" "\n" "Nanotubes of other elements can be made by specifying the element\n" "and bond length." msgstr "" #: ../nanotube.py:33 msgid "Nanotube" msgstr "Nanotubo" #. Choose the structure. #: ../nanotube.py:57 msgid "Select roll-up vector (n,m) and tube length:" msgstr "Seleccione vector de roll-up (n,m) y largo del tubo:" #: ../progress.py:25 msgid "Progress" msgstr "Progreso" #: ../progress.py:32 msgid "Scaling deformation:" msgstr "Escala de deformación:" #: ../progress.py:38 #, python-format msgid "Step number %s of %s." msgstr "Paso número %s de %s." #. Minimization progress frame #. Box containing frame and spacing #: ../progress.py:53 msgid "Energy minimization:" msgstr "Minimización de energía:" #: ../progress.py:60 msgid "Step number: " msgstr "Paso número: " #: ../progress.py:62 msgid "Fmax: " msgstr "Fmáx: " #: ../progress.py:102 msgid "unknown" msgstr "desconocido" #: ../progress.py:179 msgid "Status: " msgstr "Estado: " #: ../progress.py:181 msgid "Iteration: " msgstr "Iteración: " #: ../progress.py:184 msgid "log10(change):" msgstr "log10 (cambio):" #: ../progress.py:187 msgid "Wave functions: " msgstr "Funciones de onda: " #: ../progress.py:189 msgid "Density: " msgstr "Densidad: " #: ../progress.py:191 msgid "Energy: " msgstr "Energía: " #: ../progress.py:194 msgid "GPAW version: " msgstr "Versión de GPAW: " #: ../progress.py:197 msgid "N/A" msgstr "No disponible" #: ../progress.py:198 msgid "Memory estimate: " msgstr "Memoria estimada: " #: ../progress.py:233 msgid "No info" msgstr "No hay información" #: ../progress.py:243 msgid "Initializing" msgstr "Iniciando" #: ../progress.py:244 msgid "Positions:" msgstr "Posiciones:" #: ../progress.py:248 msgid "Starting calculation" msgstr "Comenzando cálculo" #: ../progress.py:285 msgid "unchanged" msgstr "sin cambios" #: ../progress.py:295 msgid "Self-consistency loop" msgstr "Bucle de auto consistencia" #: ../progress.py:300 msgid "Calculating forces" msgstr "Calculando fuerzas" #: ../progress.py:301 msgid " (converged)" msgstr " (convergido)" #: ../pybutton.py:37 msgid "Python" msgstr "Python" #: ../pybutton.py:48 msgid "No Python code" msgstr "No es código de Python" #: ../pybutton.py:52 #, python-format msgid "" "\n" "Title: %(title)s\n" "Time: %(time)s\n" msgstr "" "\n" "Título: %(title)s\n" "Tiempo: %(time)s\n" #: ../pybutton.py:61 msgid "ag: Python code" msgstr "ag: código en Python" #: ../pybutton.py:65 msgid "Information:" msgstr "Información:" #: ../pybutton.py:72 msgid "Python code:" msgstr "Código en Python:" #: ../quickinfo.py:9 msgid "Single image loaded." msgstr "Una imagen cargada." #: ../quickinfo.py:10 #, python-format msgid "Image %d loaded (0 - %d)." msgstr "Imagen %d cargada (0 - %d)." #: ../quickinfo.py:11 msgid "Unit cell is fixed." msgstr "La celda unitaria está fija." #: ../quickinfo.py:12 msgid "Unit cell varies." msgstr "La celda unitaria varía." #: ../quickinfo.py:14 #, python-format msgid "" "%s\n" "\n" "Number of atoms: %d.\n" "\n" "Unit cell:\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" "%s\n" msgstr "" "%s\n" "\n" "Número de átomos: %d.\n" "\n" "Celda unitaria:\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" "%s\n" #: ../quickinfo.py:29 msgid "Quick Info" msgstr "Información rápida" #: ../quickinfo.py:33 msgid "No atoms loaded." msgstr "No hay átomos seleccionados." #: ../render.py:14 msgid "" " Textures can be used to highlight different parts of\n" " an atomic structure. This window applies the default\n" " texture to the entire structure and optionally\n" " applies a different texture to subsets of atoms that\n" " can be selected using the mouse.\n" " An alternative selection method is based on a boolean\n" " expression in the entry box provided, using the\n" " variables x, y, z, or Z. For example, the expression\n" " Z == 11 and x > 10 and y > 10 \n" " will mark all sodium atoms with x or coordinates \n" " larger than 10. In either case, the button labeled\n" " `Create new texture from selection` will enable\n" " to change the attributes of the current selection. \n" " " msgstr "" " Las texturas pueden ser utilizadas para destacar diferentes partes\n" " de una estructura atómica. Esta ventana aplica la textura por defecto\n" " a la estructura completa. Opcionalmente, aplica una textura distinta\n" " a subconjuntos de átomos, los cuales pueden ser seleccionados " "utilizando\n" " el ratón.\n" " Además, en esta versión de ASE, se implementa un método de selección \n" " alternativo, el cual está basado en expresiones booleanas. Estas se " "pueden\n" " fijar en la caja de entrada, utilizando las variables x, y, z ó Z. Por\n" " ejemplo, la expresión\n" " Z == 11 and x > 10 and y > 10\n" " marcará todos los átomos de sodio con x o coordenadas mayores que 10.\n" " En cualquier caso, el botón 'Crear nueva estructura desde la selección'\n" " activará los cambios a los atributos de la selección actual.\n" " " #: ../render.py:32 msgid "Render current view in povray ... " msgstr "Dibujar vista actual en povray ... " #: ../render.py:36 #, python-format msgid "Rendering %d atoms." msgstr "Dibujando %d átomos." #: ../render.py:41 msgid "Render constraints" msgstr "Restricciones del dibujo" #: ../render.py:44 msgid "Width" msgstr "Ancho" #: ../render.py:45 msgid " Height" msgstr " Altura" #: ../render.py:52 msgid "Render unit cell" msgstr "Dibujar celda unitaria" #: ../render.py:61 msgid "Line width" msgstr "Ancho de la línea" #: ../render.py:63 msgid "Angstrom " msgstr "Angstrom " #: ../render.py:73 msgid "Set" msgstr "Fijar" #: ../render.py:75 msgid "Output basename: " msgstr "Nombre base para el archivo de salida: " #: ../render.py:77 msgid " Filename: " msgstr " Nombre de archivo: " #: ../render.py:88 msgid " Default texture for atoms: " msgstr " Textura por defecto para los átomos: " #: ../render.py:89 msgid " transparency: " msgstr " transparencia: " #: ../render.py:90 msgid "Define atom selection for new texture:" msgstr "Definir al selección del átomo para la nueva textura:" #: ../render.py:92 msgid "Select" msgstr "Seleccionar" #: ../render.py:96 msgid "Create new texture from selection" msgstr "Crear nueva textura desde selección" #: ../render.py:98 msgid "Help on textures" msgstr "Ayuda en texturas" #: ../render.py:111 msgid "Camera type: " msgstr "Tipo de cámara: " #: ../render.py:112 msgid " Camera distance" msgstr " Distancia de la cámara" #: ../render.py:113 msgid "Render current frame" msgstr "Dibujar el cuadro actual" #: ../render.py:117 #, python-format msgid "Render all %d frames" msgstr "Dibujar todos los %d cuadros" #: ../render.py:122 msgid "Transparent background" msgstr "Fondo transparente" #: ../render.py:125 msgid "Run povray " msgstr "Ejecutar povray " #: ../render.py:128 msgid "Keep povray files " msgstr "Mantener los archivos povray " #: ../render.py:131 msgid "Show output window" msgstr "Mostrar ventana de salida" #: ../render.py:212 msgid " transparency: " msgstr " transparencia: " #: ../render.py:218 msgid "" "Can not create new texture! Must have some atoms selected to create a new " "material!" msgstr "" "¡No se puede crear la nueva textura! ¡Se debe seleccionar algunos átomos " "para crear un nuevo material!" #: ../repeat.py:14 msgid "Repeat" msgstr "Repetir" #: ../repeat.py:21 msgid "Set unit cell" msgstr "Fijar la celda unitaria" #: ../rotate.py:15 msgid "Rotate" msgstr "Rotar" #: ../rotate.py:17 msgid "Rotation angles:" msgstr "Ãngulos de rotación:" #: ../rotate.py:27 msgid "" "Note:\n" "You can rotate freely\n" "with the mouse, by holding\n" "down mouse button 2." msgstr "" "Nota:\n" "Usted puede rotar libremente\n" "con el ratón, presionando el\n" "botón número 2 del ratón." #: ../scaling.py:49 msgid "Homogeneous scaling" msgstr "Escala homogénea" #: ../scaling.py:59 msgid "3D deformation " msgstr "Deformación en tres dimensiones " #: ../scaling.py:60 msgid "2D deformation " msgstr "Deformación en dos dimensiones " #: ../scaling.py:61 msgid "1D deformation " msgstr "Deformación en una dimensión " #: ../scaling.py:64 msgid "Bulk" msgstr "Bulto" #: ../scaling.py:66 msgid "xy-plane" msgstr "plano xy" #: ../scaling.py:68 msgid "xz-plane" msgstr "plano xz" #: ../scaling.py:70 msgid "yz-plane" msgstr "plano yz" #: ../scaling.py:72 msgid "x-axis" msgstr "eje x" #: ../scaling.py:74 msgid "y-axis" msgstr "eje y" #: ../scaling.py:76 msgid "z-axis" msgstr "eje z" #: ../scaling.py:89 msgid "Allow deformation along non-periodic directions." msgstr "Permitir deformaciones a lo largo de direcciones no periódicas." #. Parameters for the deformation #: ../scaling.py:94 msgid "Deformation:" msgstr "Deformación:" #: ../scaling.py:100 msgid "Maximal scale factor: " msgstr "Factor de escala máximo: " #: ../scaling.py:103 msgid "Scale offset: " msgstr "Compensación de escala: " #: ../scaling.py:106 msgid "Number of steps: " msgstr "Número de pasos: " #: ../scaling.py:107 msgid "Only positive deformation" msgstr "Sólo deformaciones positivas" #. Atomic relaxations #: ../scaling.py:112 msgid "Atomic relaxations:" msgstr "Relajaciones atómicas:" #: ../scaling.py:116 msgid "On " msgstr "Encendido " #: ../scaling.py:117 msgid "Off" msgstr "Apagado" #. Results #: ../scaling.py:128 msgid "Results:" msgstr "Resultados:" #: ../scaling.py:130 msgid "Keep original configuration" msgstr "Mantener la configuración original" #: ../scaling.py:132 msgid "Load optimal configuration" msgstr "Cargar la configuración óptima" #: ../scaling.py:134 msgid "Load all configurations" msgstr "Cargar todas las configuraciones" #: ../scaling.py:143 msgid "Strain\t\tEnergy [eV]" msgstr "Energía de deformación [eV]" #: ../scaling.py:144 msgid "Fit:" msgstr "Ajuste:" #: ../scaling.py:148 msgid "2nd" msgstr "Segundo" #: ../scaling.py:149 msgid "3rd" msgstr "Tercero" #: ../scaling.py:153 msgid "Order of fit: " msgstr "Grado del ajuste: " #. Update display to reflect cancellation of simulation. #: ../scaling.py:346 msgid "Calculation CANCELLED." msgstr "Cálculo CANCELADO." #. Update display to reflect succesful end of simulation. #: ../scaling.py:357 msgid "Calculation completed." msgstr "Cálculo terminado." #: ../scaling.py:380 msgid "No trustworthy minimum: Old configuration kept." msgstr "El mínimo no es confiable: se mantiene la configuración anterior." #: ../scaling.py:420 #, python-format msgid "" "Insufficent data for a fit\n" "(only %i data points)\n" msgstr "" "Datos insuficientes para un ajuste\n" "(sólo hay %i puntos)\n" #: ../scaling.py:424 msgid "" "REVERTING TO 2ND ORDER FIT\n" "(only 3 data points)\n" "\n" msgstr "" "VOLVIENDO A UN AJUSTE DE SEGUNDO ORDEN\n" "(sólo con 3 puntos)\n" "\n" #: ../scaling.py:440 msgid "No minimum found!" msgstr "¡No se encontró el mínimo!" #: ../scaling.py:454 msgid "" "\n" "WARNING: Minimum is outside interval\n" msgstr "" "\n" "ADVERTENCIA: El mínimo está fuera del intervalo\n" #: ../scaling.py:455 msgid "It is UNRELIABLE!\n" msgstr "¡Esto NO es confiable!\n" #: ../settings.py:16 msgid "Constraints:" msgstr "Restricciones:" #: ../settings.py:19 msgid "release" msgstr "Soltar" #: ../settings.py:23 msgid "Constrain immobile atoms" msgstr "Restringir los átomos inmóbiles" #: ../settings.py:25 msgid "Clear all constraints" msgstr "Eliminar todas las restricciones" #: ../settings.py:31 msgid "Visibility:" msgstr "Visibilidad:" #: ../settings.py:32 msgid "Hide" msgstr "Esconder" #: ../settings.py:34 msgid "show" msgstr "Mostrar" #: ../settings.py:38 msgid "View all atoms" msgstr "Ver todos los átomos" #: ../settings.py:44 msgid "Miscellaneous:" msgstr "Misceláneos:" #: ../settings.py:47 msgid "Scale atomic radii:" msgstr "Radio de escala atómica:" #. A close button #: ../settings.py:52 msgid "\n" msgstr "\n" #: ../setupwindow.py:51 msgid "No crystal structure data" msgstr "No existen los datos de estructura cristalina" #: ../setupwindow.py:62 msgid " ERROR: Invalid element!" msgstr " ERROR: ¡elemento inválido!" #: ../simulation.py:24 msgid " (rerun simulation)" msgstr " (recalcular la simulación)" #: ../simulation.py:25 msgid " (continue simulation)" msgstr " (continuar simulación)" #: ../simulation.py:27 msgid "Select starting configuration:" msgstr "Seleccione la configuración inicial:" #: ../simulation.py:32 #, python-format msgid "There are currently %i configurations loaded." msgstr "Actualmente hay %i configuraciones cargadas." # Elegir cual será utilizada como la configuración inicial #: ../simulation.py:36 msgid "Choose which one to use as the initial configuration" msgstr "Elegir cual será utilizada como la configuración inicial" #: ../simulation.py:40 #, python-format msgid "The first configuration %s." msgstr "La primera configuración %s." #: ../simulation.py:43 msgid "Configuration number " msgstr "Configuración número " #: ../simulation.py:49 #, python-format msgid "The last configuration %s." msgstr "La última configuración %s." #: ../simulation.py:85 msgid "Run" msgstr "Calcular" #: ../simulation.py:105 msgid "No calculator: Use Calculate/Set Calculator on the menu." msgstr "No hay un calculador. Use Calcular/Fijar Calculador en el menú." #: ../status.py:37 ../status.py:39 msgid "Tip for status box ..." msgstr "Consejo para la ventana de estado ..." #. TRANSLATORS: mom refers to magnetic moment #: ../status.py:63 #, python-format msgid " tag=%(tag)s mom=%(mom)1.2f" msgstr " etiqueta=%(tag)s momento magnético=%(mom)1.2f" #: ../status.py:104 msgid "dihedral" msgstr "diedral" #: ../surfaceslab.py:14 msgid "" " Use this dialog to create surface slabs. Select the element by\n" "writing the chemical symbol or the atomic number in the box. Then\n" "select the desired surface structure. Note that some structures can\n" "be created with an othogonal or a non-orthogonal unit cell, in these\n" "cases the non-orthogonal unit cell will contain fewer atoms.\n" "\n" " If the structure matches the experimental crystal structure, you can\n" "look up the lattice constant, otherwise you have to specify it\n" "yourself." msgstr "" "Use esta ventana para crear un trozo de superficie. Seleccione el\n" "elemento escribiendo el símbolo químico ó el número atómico en la\n" "caja. Luego, seleccione la estructura de la superficie deseada. Note\n" "que algunas estructuras pueden ser creadas con una celda unitaria or-\n" "togonal u no ortogonal. En estos casos, la celda unitaria no ortogonal\n" "contendrá menos átomos.\n" "\n" "Si la estructura coincide con la estructura cristalina experimental, usted\n" "podrá buscar la constante de red en la base de datos de ASE. En otro caso, \n" "tendrá que especificarla manualmente." #. Name, structure, orthogonal, support-nonorthogonal, function #: ../surfaceslab.py:26 msgid "FCC(100)" msgstr "FCC(100)" #: ../surfaceslab.py:26 ../surfaceslab.py:27 ../surfaceslab.py:28 #: ../surfaceslab.py:30 msgid "fcc" msgstr "fcc" #: ../surfaceslab.py:27 msgid "FCC(110)" msgstr "FCC(110)" #: ../surfaceslab.py:28 msgid "FCC(111) non-orthogonal" msgstr "FCC (111) no ortogonal" #: ../surfaceslab.py:30 msgid "FCC(111) orthogonal" msgstr "FCC (111) ortogonal" #: ../surfaceslab.py:31 msgid "BCC(100)" msgstr "BCC(100)" #: ../surfaceslab.py:31 ../surfaceslab.py:32 ../surfaceslab.py:34 #: ../surfaceslab.py:35 ../surfaceslab.py:37 msgid "bcc" msgstr "bcc" #: ../surfaceslab.py:32 msgid "BCC(110) non-orthogonal" msgstr "BCC (110) no ortogonal" #: ../surfaceslab.py:34 msgid "BCC(110) orthogonal" msgstr "BCC (110) ortogonal" #: ../surfaceslab.py:35 msgid "BCC(111) non-orthogonal" msgstr "BCC (111) no ortogonal" #: ../surfaceslab.py:37 msgid "BCC(111) orthogonal" msgstr "BCC (111) ortogonal" #: ../surfaceslab.py:38 msgid "HCP(0001) non-orthogonal" msgstr "HCP (0001) no ortogonal" #: ../surfaceslab.py:38 ../surfaceslab.py:40 ../surfaceslab.py:41 msgid "hcp" msgstr "hcp" #: ../surfaceslab.py:40 msgid "HCP(0001) orthogonal" msgstr "HCP (0001) ortogonal" #: ../surfaceslab.py:41 msgid "HCP(10-10) orthogonal" msgstr "HCP (10-10) ortogonal" #: ../surfaceslab.py:43 msgid "DIAMOND(100) orthogonal" msgstr "Diamante (100) ortogonal" #: ../surfaceslab.py:43 ../surfaceslab.py:45 msgid "diamond" msgstr "diamante" #: ../surfaceslab.py:45 msgid "DIAMOND(111) non-orthogonal" msgstr "Diamante (111) no ortogonal" #: ../surfaceslab.py:60 msgid "Surface" msgstr "Superficie" #: ../surfaceslab.py:90 msgid "Lattice constant: " msgstr "Constante de red: " #: ../surfaceslab.py:97 msgid "a:" msgstr "a:" #: ../surfaceslab.py:109 #, python-format msgid "(%.1f %% of ideal)" msgstr "(%.1f %% de ideal)" #: ../surfaceslab.py:126 msgid "Size: \tx: " msgstr "Tamaño en\tx:" #: ../surfaceslab.py:128 msgid "\t\ty: " msgstr "\t\ty: " #: ../surfaceslab.py:130 msgid " \t\tz: " msgstr " \t\tz: " #: ../surfaceslab.py:131 msgid " layers, " msgstr " capas, " #: ../surfaceslab.py:132 msgid " Ã… vacuum" msgstr " vacío en Ã…" #: ../surfaceslab.py:133 msgid "\t\tNo size information yet." msgstr "\t\tNo hay información sobre el tamaño aún." #. Buttons #: ../surfaceslab.py:142 msgid "Creating a surface slab." msgstr "Creando un trozo de superficie." #: ../surfaceslab.py:212 #, python-format msgid "%i atoms." msgstr "Ãtomos %i." #: ../surfaceslab.py:224 msgid "No structure specified!" msgstr "¡No se especificó la estructura!" #: ../surfaceslab.py:233 #, python-format msgid "%(struct)s lattice constant unknown for %(element)s." msgstr "" "La constante de red %(struct)s es desconocida para el elemento %(element)s." #: ../widgets.py:53 ../widgets.py:80 msgid "Help" msgstr "Ayuda" #: ../widgets.py:97 msgid "Clear constraint" msgstr "Borrar restricción" #~ msgid " %8.3f, %8.3f, %8.3f eV/Ã…\n" #~ msgstr " %8.3f, %8.3f, %8.3f eV/Ã…\n" #~ msgid "%s (a=%.3f Ã…)" #~ msgstr "%s (a=%.3f Ã…)" #~ msgid " %s: %s, Z=%i, %s" #~ msgstr " %s: %s, Z=%i, %s" #~ msgid " #%d %s (%s): %.3f Ã…, %.3f Ã…, %.3f Ã… " #~ msgstr " #%d %s (%s): %.3f Ã…, %.3f Ã…, %.3f Ã… " #~ msgid " %s-%s: %.3f Ã…" #~ msgstr " %s-%s: %.3f Ã…" #~ msgid " %s-%s-%s: %.1f°, %.1f°, %.1f°" #~ msgstr " %s-%s-%s: %.1f°, %.1f°, %.1f°" #~ msgid "c:" #~ msgstr "c:" #~ msgid "FILE" #~ msgstr "ARCHIVO" #~ msgid "%prog [options] [file[, file2, ...]]" #~ msgstr "%prog [opciones] [archivo[, archivo2, ...]]" #~ msgid "NUMBER" #~ msgstr "NÚMERO" #~ msgid "I" #~ msgstr "I" #~ msgid "Examples: \"-R -90x\", \"-R 90z,-30x\"." #~ msgstr "Ejemplos: \"-R -90x\", \"-R 90z,-30x\"." #~ msgid "EXPR" #~ msgstr "EXPR" #~ msgid "N" #~ msgstr "N" python-ase-3.6.0.2515/ase/gui/po/en_GB/0000755000175400017540000000000011757245036016136 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/gui/po/en_GB/LC_MESSAGES/0000755000175400017540000000000011757245036017723 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/gui/po/en_GB/LC_MESSAGES/ag.po0000644000175400017540000022523011716573517020661 0ustar askhlaskhl# English translations for ASE package # Copyright (C) 2011 CAMD # This file is distributed under the same license as the ASE package. # # Ask Hjorth Larsen , 2011. # msgid "" msgstr "" "Project-Id-Version: ase-3.5.2\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2012-02-01 16:08+0100\n" "PO-Revision-Date: 2012-02-01 16:10+0100\n" "Last-Translator: Ask Hjorth Larsen \n" "Language-Team: English (British) \n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" "Content-Transfer-Encoding: 8bit\n" "Language: en_GB\n" "Plural-Forms: nplurals=2; plural=(n != 1);\n" #: ../ag.py:130 msgid "" "\n" "An exception occurred! Please report the issue to\n" "ase-developers@listserv.fysik.dtu.dk - thanks! Please also report this if\n" "it was a user error, so that a better error message can be provided\n" "next time." msgstr "" "\n" "An exception occurred! Please report the issue to\n" "ase-developers@listserv.fysik.dtu.dk - thanks! Please also report this if\n" "it was a user error, so that a better error message can be provided\n" "next time." #. Asap and GPAW may be imported if selected. #: ../calculator.py:18 msgid "" "To make most calculations on the atoms, a Calculator object must first\n" "be associated with it. ASE supports a number of calculators, supporting\n" "different elements, and implementing different physical models for the\n" "interatomic interactions." msgstr "" "To make most calculations on the atoms, a Calculator object must first\n" "be associated with it. ASE supports a number of calculators, supporting\n" "different elements, and implementing different physical models for the\n" "interatomic interactions." #. Informational text about the calculators #: ../calculator.py:26 msgid "" "The Lennard-Jones pair potential is one of the simplest\n" "possible models for interatomic interactions, mostly\n" "suitable for noble gasses and model systems.\n" "\n" "Interactions are described by an interaction length and an\n" "interaction strength." msgstr "" "The Lennard-Jones pair potential is one of the simplest\n" "possible models for interatomic interactions, mostly\n" "suitable for noble gasses and model systems.\n" "\n" "Interactions are described by an interaction length and an\n" "interaction strength." #: ../calculator.py:35 msgid "" "The EMT potential is a many-body potential, giving a\n" "good description of the late transition metals crystalling\n" "in the FCC crystal structure. The elements described by the\n" "main set of EMT parameters are Al, Ni, Cu, Pd, Ag, Pt, and\n" "Au, the Al potential is however not suitable for materials\n" "science application, as the stacking fault energy is wrong.\n" "\n" "A number of parameter sets are provided.\n" "\n" "Default parameters:\n" "\n" "The default EMT parameters, as published in K. W. Jacobsen,\n" "P. Stoltze and J. K. Nørskov, Surf. Sci. 366, 394 (1996).\n" "\n" "Alternative Cu, Ag and Au:\n" "\n" "An alternative set of parameters for Cu, Ag and Au,\n" "reoptimized to experimental data including the stacking\n" "fault energies by Torben Rasmussen (partly unpublished).\n" "\n" "Ruthenium:\n" "\n" "Parameters for Ruthenium, as published in J. Gavnholt and\n" "J. Schiøtz, Phys. Rev. B 77, 035404 (2008).\n" "\n" "Metallic glasses:\n" "\n" "Parameters for MgCu and CuZr metallic glasses. MgCu\n" "parameters are in N. P. Bailey, J. Schiøtz and\n" "K. W. Jacobsen, Phys. Rev. B 69, 144205 (2004).\n" "CuZr in A. Paduraru, A. Kenoufi, N. P. Bailey and\n" "J. Schiøtz, Adv. Eng. Mater. 9, 505 (2007).\n" msgstr "" "The EMT potential is a many-body potential, giving a\n" "good description of the late transition metals crystalling\n" "in the FCC crystal structure. The elements described by the\n" "main set of EMT parameters are Al, Ni, Cu, Pd, Ag, Pt, and\n" "Au, the Al potential is however not suitable for materials\n" "science application, as the stacking fault energy is wrong.\n" "\n" "A number of parameter sets are provided.\n" "\n" "Default parameters:\n" "\n" "The default EMT parameters, as published in K. W. Jacobsen,\n" "P. Stoltze and J. K. Nørskov, Surf. Sci. 366, 394 (1996).\n" "\n" "Alternative Cu, Ag and Au:\n" "\n" "An alternative set of parameters for Cu, Ag and Au,\n" "reoptimised to experimental data including the stacking\n" "fault energies by Torben Rasmussen (partly unpublished).\n" "\n" "Ruthenium:\n" "\n" "Parameters for Ruthenium, as published in J. Gavnholt and\n" "J. Schiøtz, Phys. Rev. B 77, 035404 (2008).\n" "\n" "Metallic glasses:\n" "\n" "Parameters for MgCu and CuZr metallic glasses. MgCu\n" "parameters are in N. P. Bailey, J. Schiøtz and\n" "K. W. Jacobsen, Phys. Rev. B 69, 144205 (2004).\n" "CuZr in A. Paduraru, A. Kenoufi, N. P. Bailey and\n" "J. Schiøtz, Adv. Eng. Mater. 9, 505 (2007).\n" #: ../calculator.py:70 msgid "" "The EMT potential is a many-body potential, giving a\n" "good description of the late transition metals crystalling\n" "in the FCC crystal structure. The elements described by the\n" "main set of EMT parameters are Al, Ni, Cu, Pd, Ag, Pt, and\n" "Au. In addition, this implementation allows for the use of\n" "H, N, O and C adatoms, although the description of these is\n" "most likely not very good.\n" "\n" "This is the ASE implementation of EMT. For large\n" "simulations the ASAP implementation is more suitable; this\n" "implementation is mainly to make EMT available when ASAP is\n" "not installed.\n" msgstr "" "The EMT potential is a many-body potential, giving a\n" "good description of the late transition metals crystalling\n" "in the FCC crystal structure. The elements described by the\n" "main set of EMT parameters are Al, Ni, Cu, Pd, Ag, Pt, and\n" "Au. In addition, this implementation allows for the use of\n" "H, N, O and C adatoms, although the description of these is\n" "most likely not very good.\n" "\n" "This is the ASE implementation of EMT. For large\n" "simulations the ASAP implementation is more suitable; this\n" "implementation is mainly to make EMT available when ASAP is\n" "not installed.\n" #: ../calculator.py:85 msgid "" "The Brenner potential is a reactive bond-order potential for\n" "carbon and hydrocarbons. As a bond-order potential, it takes\n" "into account that carbon orbitals can hybridize in different\n" "ways, and that carbon can form single, double and triple\n" "bonds. That the potential is reactive means that it can\n" "handle gradual changes in the bond order as chemical bonds\n" "are formed or broken.\n" "\n" "The Brenner potential is implemented in Asap, based on a\n" "C implentation published at http://www.rahul.net/pcm/brenner/ .\n" "\n" "The potential is documented here:\n" " Donald W Brenner, Olga A Shenderova, Judith A Harrison,\n" " Steven J Stuart, Boris Ni and Susan B Sinnott:\n" " \"A second-generation reactive empirical bond order (REBO)\n" " potential energy expression for hydrocarbons\",\n" " J. Phys.: Condens. Matter 14 (2002) 783-802.\n" " doi: 10.1088/0953-8984/14/4/312\n" msgstr "" "The Brenner potential is a reactive bond-order potential for\n" "carbon and hydrocarbons. As a bond-order potential, it takes\n" "into account that carbon orbitals can hybridise in different\n" "ways, and that carbon can form single, double and triple\n" "bonds. That the potential is reactive means that it can\n" "handle gradual changes in the bond order as chemical bonds\n" "are formed or broken.\n" "\n" "The Brenner potential is implemented in Asap, based on a\n" "C implentation published at http://www.rahul.net/pcm/brenner/ .\n" "\n" "The potential is documented here:\n" " Donald W Brenner, Olga A Shenderova, Judith A Harrison,\n" " Steven J Stuart, Boris Ni and Susan B Sinnott:\n" " \"A second-generation reactive empirical bond order (REBO)\n" " potential energy expression for hydrocarbons\",\n" " J. Phys.: Condens. Matter 14 (2002) 783-802.\n" " doi: 10.1088/0953-8984/14/4/312\n" #: ../calculator.py:107 msgid "" "GPAW implements Density Functional Theory using a\n" "Grid-based real-space representation of the wave\n" "functions, and the Projector Augmented Wave\n" "method for handling the core regions. \n" msgstr "" "GPAW implements Density Functional Theory using a\n" "Grid-based real-space representation of the wave\n" "functions, and the Projector Augmented Wave\n" "method for handling the core regions. \n" #: ../calculator.py:114 msgid "" "FHI-aims is an external package implementing density \n" "functional theory and quantum chemical methods using \n" "all-electron methods and a numeric local orbital basis set. \n" "For full details, see http://www.fhi-berlin.mpg.de/aims/ \n" "or Comp. Phys. Comm. v180 2175 (2009). The ASE \n" "documentation contains information on the keywords and \n" "functionalities available within this interface. \n" msgstr "" "FHI-aims is an external package implementing density \n" "functional theory and quantum chemical methods using \n" "all-electron methods and a numeric local orbital basis set. \n" "For full details, see http://www.fhi-berlin.mpg.de/aims/ \n" "or Comp. Phys. Comm. v180 2175 (2009). The ASE \n" "documentation contains information on the keywords and \n" "functionalities available within this interface. \n" #: ../calculator.py:124 msgid "" "WARNING:\n" "Your system seems to have more than zero but less than \n" "three periodic dimensions. Please check that this is \n" "really what you want to compute. Assuming full \n" "3D periodicity for this calculator." msgstr "" "WARNING:\n" "Your system seems to have more than zero but less than \n" "three periodic dimensions. Please check that this is \n" "really what you want to compute. Assuming full \n" "3D periodicity for this calculator." #: ../calculator.py:131 msgid "" "VASP is an external package implementing density \n" "functional functional theory using pseudopotentials \n" "or the projector-augmented wave method together \n" "with a plane wave basis set. For full details, see\n" "http://cms.mpi.univie.ac.at/vasp/vasp/\n" msgstr "" "VASP is an external package implementing density \n" "functional functional theory using pseudopotentials \n" "or the projector-augmented wave method together \n" "with a plane wave basis set. For full details, see\n" "http://cms.mpi.univie.ac.at/vasp/vasp/\n" #: ../calculator.py:140 msgid "Default (Al, Ni, Cu, Pd, Ag, Pt, Au)" msgstr "Default (Al, Ni, Cu, Pd, Ag, Pt, Au)" #: ../calculator.py:141 msgid "Alternative Cu, Ag and Au" msgstr "Alternative Cu, Ag and Au" #: ../calculator.py:142 msgid "Ruthenium" msgstr "Ruthenium" #: ../calculator.py:143 msgid "CuMg and CuZr metallic glass" msgstr "CuMg and CuZr metallic glass" #: ../calculator.py:158 msgid "Select calculator" msgstr "Select calculator" #: ../calculator.py:164 msgid "Calculator:" msgstr "Calculator:" #. No calculator (the default) #: ../calculator.py:167 msgid "None" msgstr "None" #: ../calculator.py:172 msgid "Lennard-Jones (ASAP)" msgstr "Lennard-Jones (ASAP)" #: ../calculator.py:173 ../calculator.py:206 ../calculator.py:215 #: ../calculator.py:224 msgid "Setup" msgstr "Setup" #: ../calculator.py:180 msgid "EMT - Effective Medium Theory (ASAP)" msgstr "EMT - Effective Medium Theory (ASAP)" #: ../calculator.py:192 msgid "EMT - Effective Medium Theory (ASE)" msgstr "EMT - Effective Medium Theory (ASE)" #: ../calculator.py:198 msgid "Brenner Potential (ASAP)" msgstr "Brenner Potential (ASAP)" #: ../calculator.py:204 msgid "Density Functional Theory (GPAW)" msgstr "Density Functional Theory (GPAW)" #: ../calculator.py:213 msgid "Density Functional Theory (FHI-aims)" msgstr "Density Functional Theory (FHI-aims)" #: ../calculator.py:222 msgid "Density Functional Theory (VASP)" msgstr "Density Functional Theory (VASP)" #: ../calculator.py:235 msgid "Check that the calculator is reasonable." msgstr "Check that the calculator is reasonable." #: ../calculator.py:298 ../simulation.py:114 msgid "No atoms present" msgstr "No atoms present" #: ../calculator.py:388 ../calculator.py:422 ../calculator.py:456 msgid "ASAP is not installed. (Failed to import asap3)" msgstr "ASAP is not installed. (Failed to import asap3)" #: ../calculator.py:391 msgid "You must set up the Lennard-Jones parameters" msgstr "You must set up the Lennard-Jones parameters" #: ../calculator.py:396 msgid "Could not create useful Lennard-Jones calculator." msgstr "Could not create useful Lennard-Jones calculator." #: ../calculator.py:430 msgid "Could not attach EMT calculator to the atoms." msgstr "Could not attach EMT calculator to the atoms." #: ../calculator.py:472 ../calculator.py:484 msgid "GPAW is not installed. (Failed to import gpaw)" msgstr "GPAW is not installed. (Failed to import gpaw)" #: ../calculator.py:475 msgid "You must set up the GPAW parameters" msgstr "You must set up the GPAW parameters" #: ../calculator.py:516 msgid "You must set up the FHI-aims parameters" msgstr "You must set up the FHI-aims parameters" #: ../calculator.py:530 msgid "You must set up the VASP parameters" msgstr "You must set up the VASP parameters" #: ../calculator.py:554 #, python-format msgid "Element %(sym)s not allowed by the '%(name)s' calculator" msgstr "Element %(sym)s not allowed by the '%(name)s' calculator" #: ../calculator.py:561 msgid "Info" msgstr "Info" #: ../calculator.py:577 msgid "Lennard-Jones parameters" msgstr "Lennard-Jones parameters" #: ../calculator.py:589 msgid "Specify the Lennard-Jones parameters here" msgstr "Specify the Lennard-Jones parameters here" #: ../calculator.py:592 msgid "Epsilon (eV):" msgstr "Epsilon (eV):" #: ../calculator.py:596 msgid "Sigma (Ã…):" msgstr "Sigma (Ã…):" #. TRANSLATORS: Shift roughly means adjust (about a potential) #: ../calculator.py:600 msgid "Shift to make smooth at cutoff" msgstr "Shift to make smooth at cutoff" #: ../calculator.py:681 msgid "GPAW parameters" msgstr "GPAW parameters" #. label = gtk.Label("Specify the GPAW parameters here") #. pack(vbox, [label]) #. Print some info #: ../calculator.py:696 ../calculator.py:985 ../calculator.py:1473 #, python-format msgid "%i atoms.\n" msgstr "%i atoms.\n" #: ../calculator.py:698 #, python-format msgid "Orthogonal unit cell: %.2f x %.2f x %.2f Ã…." msgstr "Orthogonal unit cell: %.2f x %.2f x %.2f Ã…." #: ../calculator.py:700 msgid "Non-orthogonal unit cell:\n" msgstr "Non-orthogonal unit cell:\n" #: ../calculator.py:710 ../calculator.py:1001 ../calculator.py:1488 msgid "Exchange-correlation functional: " msgstr "Exchange-correlation functional: " #. Grid spacing #: ../calculator.py:714 msgid "Grid spacing" msgstr "Grid spacing" #: ../calculator.py:718 ../graphene.py:67 ../graphene.py:79 ../graphene.py:102 #: ../nanotube.py:47 ../surfaceslab.py:97 msgid "Ã…" msgstr "Ã…" #: ../calculator.py:719 msgid "Grid points" msgstr "Grid points" #: ../calculator.py:728 #, python-format msgid "heff = (%.3f, %.3f, %.3f) Ã…" msgstr "heff = (%.3f, %.3f, %.3f) Ã…" #: ../calculator.py:754 ../calculator.py:1016 ../calculator.py:1524 msgid "k-points k = (" msgstr "k-points k = (" #: ../calculator.py:758 ../calculator.py:1020 #, python-format msgid "k-points x size: (%.1f, %.1f, %.1f) Ã…" msgstr "k-points x size: (%.1f, %.1f, %.1f) Ã…" #. Spin polarized #: ../calculator.py:763 ../calculator.py:1486 msgid "Spin polarized" msgstr "Spin polarised" #: ../calculator.py:769 msgid "FD - Finite Difference (grid) mode" msgstr "FD - Finite Difference (grid) mode" #: ../calculator.py:770 msgid "LCAO - Linear Combination of Atomic Orbitals" msgstr "LCAO - Linear Combination of Atomic Orbitals" #: ../calculator.py:773 msgid "Mode: " msgstr "Mode: " #: ../calculator.py:775 msgid "sz - Single Zeta" msgstr "sz - Single Zeta" #: ../calculator.py:776 msgid "szp - Single Zeta polarized" msgstr "szp - Single Zeta polarised" #: ../calculator.py:777 msgid "dzp - Double Zeta polarized" msgstr "dzp - Double Zeta polarised" #. dzp #: ../calculator.py:779 msgid "Basis functions: " msgstr "Basis functions: " #. Mixer #: ../calculator.py:785 msgid "Non-standard mixer parameters" msgstr "Non-standard mixer parameters" #: ../calculator.py:981 msgid "FHI-aims parameters" msgstr "FHI-aims parameters" #: ../calculator.py:988 msgid "Periodic geometry, unit cell is:\n" msgstr "Periodic geometry, unit cell is:\n" #: ../calculator.py:993 msgid "Non-periodic geometry.\n" msgstr "Non-periodic geometry.\n" #: ../calculator.py:1000 msgid "Hirshfeld-based dispersion correction" msgstr "Hirshfeld-based dispersion correction" #. Spin polarized, charge, relativity #: ../calculator.py:1026 msgid "Spin / initial moment " msgstr "Spin / initial moment " #: ../calculator.py:1044 msgid " Charge" msgstr " Charge" #: ../calculator.py:1046 msgid " Relativity" msgstr " Relativity" #: ../calculator.py:1048 msgid " Threshold" msgstr " Threshold" #. self-consistency criteria #: ../calculator.py:1053 msgid "Self-consistency convergence:" msgstr "Self-consistency convergence:" #: ../calculator.py:1066 msgid "Compute forces" msgstr "Compute forces" #. XXX: use gtk table for layout. Spaces will not work well otherwise #. (depend on fonts, widget style, ...) #. TRANSLATORS: Don't care too much about these, just get approximately #. the same string lengths #: ../calculator.py:1077 msgid "Energy: " msgstr "Energy: " #: ../calculator.py:1079 msgid " eV Sum of eigenvalues: " msgstr " eV Sum of eigenvalues: " #: ../calculator.py:1081 ../calculator.py:1559 msgid " eV" msgstr " eV" #: ../calculator.py:1082 msgid "Electron density: " msgstr "Electron density: " #: ../calculator.py:1084 msgid " Force convergence: " msgstr " Force convergence: " #: ../calculator.py:1086 msgid " eV/Ang " msgstr " eV/Ang " #: ../calculator.py:1099 ../calculator.py:1570 msgid "Additional keywords: " msgstr "Additional keywords: " #. run command and species defaults: #: ../calculator.py:1113 msgid "FHI-aims execution command: " msgstr "FHI-aims execution command: " #: ../calculator.py:1115 ../calculator.py:1587 msgid "Directory for species defaults: " msgstr "Directory for species defaults: " #: ../calculator.py:1127 ../calculator.py:1595 msgid "Set Defaults" msgstr "Set Defaults" #: ../calculator.py:1129 msgid "Import control.in" msgstr "Import control.in" #: ../calculator.py:1131 msgid "Export control.in" msgstr "Export control.in" #: ../calculator.py:1317 msgid "Export parameters ... " msgstr "Export parameters ... " #: ../calculator.py:1337 msgid "Import control.in file ... " msgstr "Import control.in file ... " #: ../calculator.py:1393 ../calculator.py:1907 #, python-format msgid "" "Please use the facilities provided in this window to manipulate the keyword: " "%s!" msgstr "" "Please use the facilities provided in this window to manipulate the keyword: " "%s!" #: ../calculator.py:1396 #, python-format msgid "" "Don't know this keyword: %s\n" "\n" "Please check!\n" "\n" "If you really think it should be available, please add it to the top of ase/" "calculators/aims.py." msgstr "" "Don't know this keyword: %s\n" "\n" "Please check!\n" "\n" "If you really think it should be available, please add it to the top of ase/" "calculators/aims.py." #: ../calculator.py:1469 msgid "VASP parameters" msgstr "VASP parameters" #: ../calculator.py:1475 msgid "Periodic geometry, unit cell is: \n" msgstr "Periodic geometry, unit cell is: \n" #: ../calculator.py:1527 msgid ") Cutoff: " msgstr ") Cutoff: " #: ../calculator.py:1528 msgid " Precision: " msgstr " Precision: " #: ../calculator.py:1530 #, python-format msgid "k-points x size: (%.1f, %.1f, %.1f) Ã… " msgstr "k-points x size: (%.1f, %.1f, %.1f) Ã… " #: ../calculator.py:1546 msgid "Smearing: " msgstr "Smearing: " #: ../calculator.py:1548 msgid " order: " msgstr " order: " #: ../calculator.py:1550 msgid " width: " msgstr " width: " #: ../calculator.py:1557 msgid "Self-consistency convergence: " msgstr "Self-consistency convergence: " #. run command and location of POTCAR files: #: ../calculator.py:1583 msgid "VASP execution command: " msgstr "VASP execution command: " #: ../calculator.py:1597 msgid "Import VASP files" msgstr "Import VASP files" #: ../calculator.py:1599 msgid "Export VASP files" msgstr "Export VASP files" #: ../calculator.py:1810 msgid "WARNING: cutoff energy is lower than recommended minimum!" msgstr "WARNING: cutoff energy is lower than recommended minimum!" #: ../calculator.py:1862 msgid "Import VASP input files: choose directory ... " msgstr "Import VASP input files: choose directory ... " #: ../calculator.py:1877 msgid "Export VASP input files: choose directory ... " msgstr "Export VASP input files: choose directory ... " #: ../calculator.py:1910 #, python-format msgid "" "Don't know this keyword: %s\n" "Please check!\n" "\n" "If you really think it should be available, please add it to the top of ase/" "calculators/vasp.py." msgstr "" "Don't know this keyword: %s\n" "Please check!\n" "\n" "If you really think it should be available, please add it to the top of ase/" "calculators/vasp.py." #: ../colors.py:24 msgid "Colors" msgstr "Colours" #. Upper left: Choose how the atoms are colored. #: ../colors.py:41 msgid "Choose how the atoms are colored:" msgstr "Choose how the atoms are coloured:" #: ../colors.py:43 msgid "By atomic number, default \"jmol\" colors" msgstr "By atomic number, default \"jmol\" colours" #: ../colors.py:45 msgid "By atomic number, user specified" msgstr "By atomic number, user specified" #: ../colors.py:46 msgid "By tag" msgstr "By tag" #: ../colors.py:47 msgid "By force" msgstr "By force" #: ../colors.py:48 msgid "By velocity" msgstr "By velocity" #: ../colors.py:49 msgid "Manually specified" msgstr "Manually specified" #: ../colors.py:50 msgid "All the same color" msgstr "All the same colour" #. Now fill in the box for additional information in case the force is used. #: ../colors.py:60 msgid "This should not be displayed!" msgstr "This should not be displayed!" #: ../colors.py:65 ../colors.py:82 ../rotate.py:25 msgid "Update" msgstr "Update" #: ../colors.py:67 ../colors.py:84 msgid "Min: " msgstr "Min: " #: ../colors.py:69 ../colors.py:86 msgid " Max: " msgstr " Max: " #: ../colors.py:71 ../colors.py:88 msgid " Steps: " msgstr " Steps: " #: ../colors.py:95 msgid "Create a color scale:" msgstr "Create a colour scale:" #: ../colors.py:98 msgid "Black - white" msgstr "Black - white" #: ../colors.py:99 msgid "Black - red - yellow - white" msgstr "Black - red - yellow - white" #: ../colors.py:100 msgid "Black - green - white" msgstr "Black - green - white" #: ../colors.py:101 msgid "Black - blue - cyan" msgstr "Black - blue - cyan" #: ../colors.py:102 msgid "Hue" msgstr "Hue" #: ../colors.py:103 msgid "Named colors" msgstr "Named colours" #: ../colors.py:109 msgid "Create" msgstr "Create" #: ../colors.py:367 #, python-format msgid "Max force: %.2f (this frame), %.2f (all frames)" msgstr "Max force: %.2f (this frame), %.2f (all frames)" #: ../colors.py:369 #, python-format msgid "Max force: %.2f." msgstr "Max force: %.2f." #: ../colors.py:383 #, python-format msgid "Max velocity: %.2f (this frame), %.2f (all frames)" msgstr "Max velocity: %.2f (this frame), %.2f (all frames)" #: ../colors.py:385 #, python-format msgid "Max velocity: %.2f." msgstr "Max velocity: %.2f." #: ../colors.py:426 msgid "ERROR" msgstr "ERROR" #: ../colors.py:455 msgid "ERR" msgstr "ERR" #: ../colors.py:542 msgid "Incorrect color specification" msgstr "Incorrect colour specification" #: ../constraints.py:13 ../widgets.py:89 msgid "Constraints" msgstr "Constraints" #: ../constraints.py:15 ../constraints.py:18 ../settings.py:17 #: ../widgets.py:91 ../widgets.py:94 msgid "Constrain" msgstr "Constrain" #: ../constraints.py:16 ../settings.py:20 ../settings.py:35 ../widgets.py:92 msgid " selected atoms" msgstr " selected atoms" #: ../constraints.py:19 ../widgets.py:95 msgid " immobile atoms:" msgstr " immobile atoms:" #: ../constraints.py:21 msgid "Unconstrain" msgstr "Unconstrain" #: ../constraints.py:22 msgid " selected atoms:" msgstr " selected atoms:" #: ../constraints.py:24 msgid "Clear constraints" msgstr "Clear constraints" #: ../constraints.py:26 ../dft.py:29 ../settings.py:53 ../widgets.py:60 #: ../widgets.py:99 msgid "Close" msgstr "Close" #: ../crystal.py:16 msgid "" " Use this dialog to create crystal lattices. First select the structure,\n" " either from a set of common crystal structures, or by space group " "description.\n" " Then add all other lattice parameters.\n" "\n" " If an experimental crystal structure is available for an atom, you can\n" " look up the crystal type and lattice constant, otherwise you have to " "specify it\n" " yourself. " msgstr "" " Use this dialog to create crystal lattices. First select the structure,\n" " either from a set of common crystal structures, or by space group " "description.\n" " Then add all other lattice parameters.\n" "\n" " If an experimental crystal structure is available for an atom, you can\n" " look up the crystal type and lattice constant, otherwise you have to " "specify it\n" " yourself. " #: ../crystal.py:33 #, python-format msgid " %(natoms)i atoms: %(symbols)s, Volume: %(volume).3f A3" msgstr " %(natoms)i atoms: %(symbols)s, Volume: %(volume).3f A3" #: ../crystal.py:58 msgid "Create Bulk Crystal by Spacegroup" msgstr "Create Bulk Crystal by Spacegroup" #: ../crystal.py:72 msgid "Number: 1" msgstr "Number: 1" #: ../crystal.py:73 msgid "Lattice: " msgstr "Lattice: " #: ../crystal.py:73 msgid "\tSpace group: " msgstr "\tSpace group: " #: ../crystal.py:77 msgid "Size: x: " msgstr "Size: x: " #: ../crystal.py:78 ../crystal.py:138 msgid " y: " msgstr " y: " #: ../crystal.py:79 ../crystal.py:139 msgid " z: " msgstr " z: " #: ../crystal.py:80 ../surfaceslab.py:127 ../surfaceslab.py:129 msgid " unit cells" msgstr " unit cells" #: ../crystal.py:92 ../crystal.py:96 ../crystal.py:100 ../crystal.py:104 #: ../crystal.py:108 ../crystal.py:112 msgid "free" msgstr "free" #: ../crystal.py:93 ../crystal.py:102 msgid "equals b" msgstr "equals b" #: ../crystal.py:94 ../crystal.py:98 msgid "equals c" msgstr "equals c" #: ../crystal.py:95 ../crystal.py:99 ../crystal.py:103 ../crystal.py:107 #: ../crystal.py:111 ../crystal.py:115 msgid "fixed" msgstr "fixed" #: ../crystal.py:97 ../crystal.py:101 msgid "equals a" msgstr "equals a" #: ../crystal.py:105 ../crystal.py:114 msgid "equals beta" msgstr "equals beta" #: ../crystal.py:106 ../crystal.py:110 msgid "equals gamma" msgstr "equals gamma" #: ../crystal.py:109 ../crystal.py:113 msgid "equals alpha" msgstr "equals alpha" #: ../crystal.py:119 msgid "Lattice parameters" msgstr "Lattice parameters" #: ../crystal.py:120 msgid "\t\ta:\t" msgstr "\t\ta:\t" #: ../crystal.py:121 msgid "\talpha:\t" msgstr "\talpha:\t" #: ../crystal.py:122 msgid "\t\tb:\t" msgstr "\t\tb:\t" #: ../crystal.py:123 msgid "\tbeta:\t" msgstr "\tbeta:\t" #: ../crystal.py:124 msgid "\t\tc:\t" msgstr "\t\tc:\t" #: ../crystal.py:125 msgid "\tgamma:\t" msgstr "\tgamma:\t" #: ../crystal.py:126 ../surfaceslab.py:99 msgid "Get from database" msgstr "Get from database" #: ../crystal.py:131 msgid "Basis: " msgstr "Basis: " #: ../crystal.py:137 msgid " Element:\t" msgstr " Element:\t" #: ../crystal.py:137 msgid "\tx: " msgstr "\tx: " #: ../crystal.py:157 msgid "Creating a crystal." msgstr "Creating a crystal." #: ../crystal.py:202 #, python-format msgid "Symbol: %s" msgstr "Symbol: %s" #: ../crystal.py:207 #, python-format msgid "Number: %s" msgstr "Number: %s" #: ../crystal.py:210 msgid "Invalid Spacegroup!" msgstr "Invalid Spacegroup!" #: ../crystal.py:336 ../crystal.py:339 msgid "Please specify a consistent set of atoms." msgstr "Please specify a consistent set of atoms." #: ../crystal.py:348 ../graphene.py:230 ../nanoparticle.py:613 #: ../nanotube.py:139 ../surfaceslab.py:248 msgid "No valid atoms." msgstr "No valid atoms." #: ../crystal.py:465 msgid "Can't find lattice definition!" msgstr "Can't find lattice definition!" #: ../debug.py:11 msgid "Debug" msgstr "Debug" #: ../dft.py:13 msgid "DFT" msgstr "DFT" #: ../dft.py:19 msgid "XC-functional: " msgstr "XC-functional: " #: ../dft.py:23 ../repeat.py:16 msgid "Repeat atoms:" msgstr "Repeat atoms:" #: ../energyforces.py:11 msgid "Output:" msgstr "Output:" #: ../energyforces.py:41 msgid "Save output" msgstr "Save output" #: ../energyforces.py:57 msgid "Potential energy and forces" msgstr "Potential energy and forces" #: ../energyforces.py:61 msgid "Calculate potential energy and the force on all atoms" msgstr "Calculate potential energy and the force on all atoms" #: ../energyforces.py:65 msgid "Write forces on the atoms" msgstr "Write forces on the atoms" #: ../energyforces.py:82 msgid "Potential Energy:\n" msgstr "Potential Energy:\n" #: ../energyforces.py:83 #, python-format msgid " %8.2f eV\n" msgstr " %8.2f eV\n" #: ../energyforces.py:84 #, python-format msgid "" " %8.4f eV/atom\n" "\n" msgstr "" " %8.4f eV/atom\n" "\n" #: ../energyforces.py:86 msgid "Forces:\n" msgstr "Forces:\n" #: ../execute.py:23 msgid "" "\n" " Global commands work on all frames or only on the current frame\n" " - Assignment of a global variable may not reference a local one\n" " - use 'Current frame' switch to switch off application to all frames\n" " e:\t\ttotal energy of one frame\n" " fmax:\tmaximal force in one frame\n" " A:\tunit cell\n" " E:\t\ttotal energy array of all frames\n" " F:\t\tall forces in one frame\n" " M:\tall magnetic moments\n" " R:\t\tall atomic positions\n" " S:\tall selected atoms (boolean array)\n" " D:\tall dynamic atoms (boolean array)\n" " examples: frame = 1, A[0][1] += 4, e-E[-1]\n" "\n" " Atom commands work on each atom (or a selection) individually\n" " - these can use global commands on the RHS of an equation\n" " - use 'selected atoms only' to restrict application of command\n" " x,y,z:\tatomic coordinates\n" " r,g,b:\tatom display color, range is [0..1]\n" " rad:\tatomic radius for display\n" " s:\t\tatom is selected\n" " d:\t\tatom is movable\n" " f:\t\tforce\n" " Z:\tatomic number\n" " m:\tmagnetic moment\n" " examples: x -= A[0][0], s = z > 5, Z = 6\n" "\n" " Special commands and objects:\n" " sa,cf:\t(un)restrict to selected atoms/current frame\n" " frame:\tframe number\n" " center:\tcenters the system in its existing unit cell\n" " del S:\tdelete selection\n" " CM:\tcenter of mass\n" " ans[-i]:\tith last calculated result\n" " exec file: executes commands listed in file\n" " cov[Z]:(read only): covalent radius of atomic number Z\n" " gui:\tadvanced: ag window python object\n" " img:\tadvanced: ag images object\n" " " msgstr "" "\n" " Global commands work on all frames or only on the current frame\n" " - Assignment of a global variable may not reference a local one\n" " - use 'Current frame' switch to switch off application to all frames\n" " e:\t\ttotal energy of one frame\n" " fmax:\tmaximal force in one frame\n" " A:\tunit cell\n" " E:\t\ttotal energy array of all frames\n" " F:\t\tall forces in one frame\n" " M:\tall magnetic moments\n" " R:\t\tall atomic positions\n" " S:\tall selected atoms (boolean array)\n" " D:\tall dynamic atoms (boolean array)\n" " examples: frame = 1, A[0][1] += 4, e-E[-1]\n" "\n" " Atom commands work on each atom (or a selection) individually\n" " - these can use global commands on the RHS of an equation\n" " - use 'selected atoms only' to restrict application of command\n" " x,y,z:\tatomic coordinates\n" " r,g,b:\tatom display colour, range is [0..1]\n" " rad:\tatomic radius for display\n" " s:\t\tatom is selected\n" " d:\t\tatom is movable\n" " f:\t\tforce\n" " Z:\tatomic number\n" " m:\tmagnetic moment\n" " examples: x -= A[0][0], s = z > 5, Z = 6\n" "\n" " Special commands and objects:\n" " sa,cf:\t(un)restrict to selected atoms/current frame\n" " frame:\tframe number\n" " center:\tcenters the system in its existing unit cell\n" " del S:\tdelete selection\n" " CM:\tcentre of mass\n" " ans[-i]:\tith last calculated result\n" " exec file: executes commands listed in file\n" " cov[Z]:(read only): covalent radius of atomic number Z\n" " gui:\tadvanced: ag window python object\n" " img:\tadvanced: ag images object\n" " " #: ../execute.py:67 msgid "Expert user mode" msgstr "Expert user mode" #: ../execute.py:80 msgid "Welcome to the ASE Expert user mode" msgstr "Welcome to the ASE Expert user mode" #: ../execute.py:87 msgid "Only selected atoms (sa) " msgstr "Only selected atoms (sa) " #: ../execute.py:89 msgid "Only current frame (cf) " msgstr "Only current frame (cf) " #: ../execute.py:99 msgid "" "Global: Use A, D, E, M, N, R, S, n, frame; Atoms: Use a, f, m, s, x, y, z, " "Z " msgstr "" "Global: Use A, D, E, M, N, R, S, n, frame; Atoms: Use a, f, m, s, x, y, z, " "Z " #: ../execute.py:198 #, python-format msgid "*** WARNING: file does not exist - %s" msgstr "*** WARNING: file does not exist - %s" #: ../execute.py:203 msgid "*** WARNING: No atoms selected to work with" msgstr "*** WARNING: No atoms selected to work with" #: ../execute.py:277 msgid "*** Only working on selected atoms" msgstr "*** Only working on selected atoms" #: ../execute.py:279 msgid "*** Working on all atoms" msgstr "*** Working on all atoms" #: ../execute.py:283 msgid "*** Only working on current image" msgstr "*** Only working on current image" #: ../execute.py:285 msgid "*** Working on all images" msgstr "*** Working on all images" #: ../execute.py:301 msgid "Save Terminal text ..." msgstr "Save Terminal text ..." #: ../graphene.py:15 msgid "" "Set up a graphene sheet or a graphene nanoribbon. A nanoribbon may\n" "optionally be saturated with hydrogen (or another element)." msgstr "" "Set up a graphene sheet or a graphene nanoribbon. A nanoribbon may\n" "optionally be saturated with hydrogen (or another element)." #: ../graphene.py:30 ../gui.py:298 msgid "Graphene" msgstr "Graphene" #. Choose structure #. The structure and lattice constant #. Choose the surface structure #: ../graphene.py:37 ../nanoparticle.py:138 ../surfaceslab.py:78 msgid "Structure: " msgstr "Structure: " #: ../graphene.py:39 msgid "Infinite sheet" msgstr "Infinite sheet" #: ../graphene.py:39 msgid "Unsaturated ribbon" msgstr "Unsaturated ribbon" #: ../graphene.py:40 msgid "Saturated ribbon" msgstr "Saturated ribbon" #. Orientation #: ../graphene.py:47 msgid "Orientation: " msgstr "Orientation: " #: ../graphene.py:50 msgid "zigzag" msgstr "zigzag" #: ../graphene.py:50 msgid "armchair" msgstr "armchair" #: ../graphene.py:66 ../graphene.py:78 ../nanotube.py:46 msgid " Bond length: " msgstr " Bond length: " #. Choose the saturation element and bond length #: ../graphene.py:72 msgid "Saturation: " msgstr "Saturation: " #: ../graphene.py:75 msgid "H" msgstr "H" #. Size #: ../graphene.py:91 msgid "Width: " msgstr "Width: " #: ../graphene.py:92 ../nanotube.py:65 msgid " Length: " msgstr " Length: " #. Vacuum #: ../graphene.py:100 msgid "Vacuum: " msgstr "Vacuum: " #: ../graphene.py:138 ../nanotube.py:96 ../setupwindow.py:32 msgid " No element specified!" msgstr " No element specified!" #: ../graphene.py:231 ../nanoparticle.py:614 ../nanotube.py:140 #: ../pybutton.py:49 ../surfaceslab.py:249 msgid "You have not (yet) specified a consistent set of parameters." msgstr "You have not (yet) specified a consistent set of parameters." #: ../graphs.py:19 msgid "Help for plot ..." msgstr "Help for plot ..." #: ../graphs.py:30 ../graphs.py:33 msgid "Plot" msgstr "Plot" #: ../graphs.py:38 msgid "clear" msgstr "clear" #: ../graphs.py:92 msgid "Save data to file ... " msgstr "Save data to file ... " #: ../gtkexcepthook.py:117 msgid "Bug Detected" msgstr "Bug Detected" #: ../gtkexcepthook.py:121 msgid "A programming error has been detected." msgstr "A programming error has been detected." #: ../gtkexcepthook.py:124 msgid "" "It probably isn't fatal, but the details should be reported to the " "developers nonetheless." msgstr "" "It probably isn't fatal, but the details should be reported to the " "developers nonetheless." #: ../gtkexcepthook.py:140 msgid "Report..." msgstr "Report..." #: ../gtkexcepthook.py:144 msgid "Details..." msgstr "Details..." #: ../gtkexcepthook.py:160 #, python-format msgid "" "From: buggy_application\"\n" "To: bad_programmer\n" "Subject: Exception feedback\n" "\n" "%s" msgstr "" "From: buggy_application\"\n" "To: bad_programmer\n" "Subject: Exception feedback\n" "\n" "%s" #. Show details... #: ../gtkexcepthook.py:173 msgid "Bug Details" msgstr "Bug Details" #: ../gui.py:164 msgid "_File" msgstr "_File" #: ../gui.py:165 msgid "_Edit" msgstr "_Edit" #: ../gui.py:166 msgid "_View" msgstr "_View" #: ../gui.py:167 msgid "_Tools" msgstr "_Tools" #. TRANSLATORS: Set up (i.e. build) surfaces, nanoparticles, ... #: ../gui.py:169 msgid "_Setup" msgstr "_Setup" #: ../gui.py:170 msgid "_Calculate" msgstr "_Calculate" #: ../gui.py:171 msgid "_Help" msgstr "_Help" #: ../gui.py:172 msgid "_Open" msgstr "_Open" #: ../gui.py:173 msgid "Create a new file" msgstr "Create a new file" #: ../gui.py:175 msgid "_New" msgstr "_New" #: ../gui.py:176 msgid "New ase.gui window" msgstr "New ase.gui window" #: ../gui.py:178 msgid "_Save" msgstr "_Save" #: ../gui.py:179 msgid "Save current file" msgstr "Save current file" #: ../gui.py:181 msgid "_Quit" msgstr "_Quit" #: ../gui.py:182 msgid "Quit" msgstr "Quit" #: ../gui.py:184 msgid "Select _all" msgstr "Select _all" #: ../gui.py:187 msgid "_Invert selection" msgstr "_Invert selection" #: ../gui.py:190 msgid "Select _constrained atoms" msgstr "Select _constrained atoms" #: ../gui.py:193 msgid "Select _immobile atoms" msgstr "Select _immobile atoms" #: ../gui.py:196 msgid "_Copy" msgstr "_Copy" #: ../gui.py:197 msgid "Copy current selection and its orientation to clipboard" msgstr "Copy current selection and its orientation to clipboard" #: ../gui.py:199 msgid "_Paste" msgstr "_Paste" #: ../gui.py:200 msgid "Insert current clipboard selection" msgstr "Insert current clipboard selection" #: ../gui.py:202 msgid "_Modify" msgstr "_Modify" #: ../gui.py:203 msgid "Change tags, moments and atom types of the selected atoms" msgstr "Change tags, moments and atom types of the selected atoms" #: ../gui.py:205 msgid "_Add atoms" msgstr "_Add atoms" #: ../gui.py:206 msgid "Insert or import atoms and molecules" msgstr "Insert or import atoms and molecules" #: ../gui.py:208 msgid "_Delete selected atoms" msgstr "_Delete selected atoms" #: ../gui.py:209 msgid "Delete the selected atoms" msgstr "Delete the selected atoms" #: ../gui.py:211 msgid "_First image" msgstr "_First image" #: ../gui.py:214 msgid "_Previous image" msgstr "_Previous image" #: ../gui.py:217 msgid "_Next image" msgstr "_Next image" #: ../gui.py:220 msgid "_Last image" msgstr "_Last image" #: ../gui.py:223 msgid "Quick Info ..." msgstr "Quick Info ..." #: ../gui.py:226 msgid "Repeat ..." msgstr "Repeat ..." #: ../gui.py:229 msgid "Rotate ..." msgstr "Rotate ..." #: ../gui.py:232 msgid "Colors ..." msgstr "Colours ..." #. TRANSLATORS: verb #: ../gui.py:235 msgid "Focus" msgstr "Focus" #: ../gui.py:238 msgid "Zoom in" msgstr "Zoom in" #: ../gui.py:241 msgid "Zoom out" msgstr "Zoom out" #: ../gui.py:244 msgid "Reset View" msgstr "Reset View" #: ../gui.py:247 msgid "Settings ..." msgstr "Settings ..." #: ../gui.py:250 msgid "VMD" msgstr "VMD" #: ../gui.py:253 msgid "RasMol" msgstr "RasMol" #: ../gui.py:256 msgid "xmakemol" msgstr "xmakemol" #: ../gui.py:259 msgid "avogadro" msgstr "avogadro" #: ../gui.py:262 msgid "Graphs ..." msgstr "Graphs ..." #: ../gui.py:265 msgid "Movie ..." msgstr "Movie ..." #: ../gui.py:268 msgid "Expert mode ..." msgstr "Expert mode ..." #: ../gui.py:271 msgid "Constraints ..." msgstr "Constraints ..." #: ../gui.py:274 msgid "Render scene ..." msgstr "Render scene ..." #: ../gui.py:277 msgid "DFT ..." msgstr "DFT ..." #: ../gui.py:280 msgid "NE_B" msgstr "NE_B" #: ../gui.py:283 msgid "B_ulk Modulus" msgstr "B_ulk Modulus" #: ../gui.py:286 msgid "_Bulk Crystal" msgstr "_Bulk Crystal" #: ../gui.py:287 msgid "Create a bulk crystal with arbitrary orientation" msgstr "Create a bulk crystal with arbitrary orientation" #: ../gui.py:289 msgid "_Surface slab" msgstr "_Surface slab" #: ../gui.py:290 msgid "Create the most common surfaces" msgstr "Create the most common surfaces" #: ../gui.py:292 msgid "_Nanoparticle" msgstr "_Nanoparticle" #: ../gui.py:293 msgid "Create a crystalline nanoparticle" msgstr "Create a crystalline nanoparticle" #: ../gui.py:295 msgid "Nano_tube" msgstr "Nano_tube" #: ../gui.py:296 msgid "Create a nanotube" msgstr "Create a nanotube" #: ../gui.py:299 msgid "Create a graphene sheet or nanoribbon" msgstr "Create a graphene sheet or nanoribbon" #: ../gui.py:301 msgid "Set _Calculator" msgstr "Set _Calculator" #: ../gui.py:302 msgid "Set a calculator used in all calculation modules" msgstr "Set a calculator used in all calculation modules" #: ../gui.py:304 msgid "_Energy and Forces" msgstr "_Energy and Forces" #: ../gui.py:305 msgid "Calculate energy and forces" msgstr "Calculate energy and forces" #: ../gui.py:307 msgid "Energy _Minimization" msgstr "Energy _Minimisation" #: ../gui.py:308 msgid "Minimize the energy" msgstr "Minimise the energy" #: ../gui.py:310 msgid "Scale system" msgstr "Scale system" #: ../gui.py:311 msgid "Deform system by scaling it" msgstr "Deform system by scaling it" #: ../gui.py:313 msgid "_About" msgstr "_About" #: ../gui.py:316 msgid "Webpage ..." msgstr "Webpage ..." #: ../gui.py:317 msgid "Debug ..." msgstr "Debug ..." #: ../gui.py:319 msgid "Show _unit cell" msgstr "Show _unit cell" #: ../gui.py:323 msgid "Show _axes" msgstr "Show _axes" #: ../gui.py:327 msgid "Show _bonds" msgstr "Show _bonds" #: ../gui.py:331 msgid "_Move atoms" msgstr "_Move atoms" #: ../gui.py:335 msgid "_Rotate atoms" msgstr "_Rotate atoms" #: ../gui.py:339 msgid "Orien_t atoms" msgstr "Orien_t atoms" #: ../gui.py:351 #, python-format msgid "building menus failed: %s" msgstr "building menus failed: %s" #: ../gui.py:620 ../gui.py:1016 ../gui.py:1076 msgid "Open ..." msgstr "Open ..." #: ../gui.py:624 ../gui.py:1019 msgid "<>" msgstr "<>" #: ../gui.py:756 msgid "Add atoms" msgstr "Add atoms" #: ../gui.py:759 msgid "Paste" msgstr "Paste" #: ../gui.py:765 msgid "Insert atom or molecule" msgstr "Insert atom or molecule" #: ../gui.py:766 ../gui.py:883 msgid "Tag" msgstr "Tag" #: ../gui.py:767 ../gui.py:884 msgid "Moment" msgstr "Moment" #: ../gui.py:768 msgid "Position" msgstr "Position" #: ../gui.py:793 msgid "_Load molecule" msgstr "_Load molecule" #: ../gui.py:797 ../gui.py:899 msgid "_OK" msgstr "_OK" #: ../gui.py:801 ../gui.py:903 msgid "_Cancel" msgstr "_Cancel" #: ../gui.py:876 msgid "Modify" msgstr "Modify" #: ../gui.py:882 msgid "Atom" msgstr "Atom" #: ../gui.py:927 msgid "Confirmation" msgstr "Confirmation" #: ../gui.py:931 msgid "Delete selected atom?" msgid_plural "Delete selected atoms?" msgstr[0] "Delete selected atom?" msgstr[1] "Delete selected atoms?" #: ../gui.py:938 msgid "Cancel" msgstr "Cancel" #: ../gui.py:1024 ../gui.py:1106 msgid "Automatic" msgstr "Automatic" #: ../gui.py:1025 msgid "Dacapo netCDF output file" msgstr "Dacapo netCDF output file" #: ../gui.py:1026 msgid "Virtual Nano Lab file" msgstr "Virtual Nano Lab file" #: ../gui.py:1027 msgid "ASE pickle trajectory" msgstr "ASE pickle trajectory" #: ../gui.py:1028 ../gui.py:1119 msgid "ASE bundle trajectory" msgstr "ASE bundle trajectory" #: ../gui.py:1029 msgid "GPAW text output" msgstr "GPAW text output" #: ../gui.py:1030 msgid "CUBE file" msgstr "CUBE file" #: ../gui.py:1031 msgid "XCrySDen Structure File" msgstr "XCrySDen Structure File" #: ../gui.py:1032 msgid "Dacapo text output" msgstr "Dacapo text output" #: ../gui.py:1033 msgid "XYZ-file" msgstr "XYZ-file" #: ../gui.py:1034 msgid "VASP POSCAR/CONTCAR file" msgstr "VASP POSCAR/CONTCAR file" #: ../gui.py:1035 msgid "VASP OUTCAR file" msgstr "VASP OUTCAR file" #: ../gui.py:1036 msgid "Protein Data Bank" msgstr "Protein Data Bank" #: ../gui.py:1037 msgid "CIF-file" msgstr "CIF-file" #: ../gui.py:1038 msgid "FHI-aims geometry file" msgstr "FHI-aims geometry file" #: ../gui.py:1039 msgid "FHI-aims output file" msgstr "FHI-aims output file" #: ../gui.py:1040 msgid "TURBOMOLE coord file" msgstr "TURBOMOLE coord file" #: ../gui.py:1041 msgid "exciting input" msgstr "exciting input" #: ../gui.py:1042 msgid "WIEN2k structure file" msgstr "WIEN2k structure file" #: ../gui.py:1043 msgid "DftbPlus input file" msgstr "DftbPlus input file" #: ../gui.py:1044 msgid "ETSF format" msgstr "ETSF format" #: ../gui.py:1045 ../gui.py:1117 msgid "CASTEP geom file" msgstr "CASTEP geom file" #: ../gui.py:1046 msgid "CASTEP output file" msgstr "CASTEP output file" #: ../gui.py:1047 msgid "CASTEP trajectory file" msgstr "CASTEP trajectory file" #: ../gui.py:1048 msgid "DFTBPlus GEN format" msgstr "DFTBPlus GEN format" #: ../gui.py:1054 msgid "File type:" msgstr "File type:" #: ../gui.py:1094 msgid "Save ..." msgstr "Save ..." #: ../gui.py:1107 msgid "XYZ file" msgstr "XYZ file" #: ../gui.py:1108 msgid "ASE trajectory" msgstr "ASE trajectory" #: ../gui.py:1109 msgid "PDB file" msgstr "PDB file" #: ../gui.py:1110 msgid "Gaussian cube file" msgstr "Gaussian cube file" #: ../gui.py:1111 msgid "Python script" msgstr "Python script" #: ../gui.py:1112 msgid "VNL file" msgstr "VNL file" #: ../gui.py:1113 msgid "Portable Network Graphics" msgstr "Portable Network Graphics" #: ../gui.py:1114 msgid "Persistence of Vision" msgstr "Persistence of Vision" #: ../gui.py:1115 msgid "Encapsulated PostScript" msgstr "Encapsulated PostScript" #: ../gui.py:1116 msgid "FHI-aims geometry input" msgstr "FHI-aims geometry input" #: ../gui.py:1118 msgid "VASP geometry input" msgstr "VASP geometry input" #: ../gui.py:1120 msgid "cif file" msgstr "cif file" #: ../gui.py:1142 #, python-format msgid "Save current image only (#%d)" msgstr "Save current image only (#%d)" #: ../gui.py:1146 msgid "Slice: " msgstr "Slice: " #: ../gui.py:1147 msgid "Help for slice ..." msgstr "Help for slice ..." #: ../gui.py:1159 msgid "AG INTERNAL ERROR: strange response in Save," msgstr "AG INTERNAL ERROR: strange response in Save," #: ../gui.py:1178 msgid "Unknown output format!" msgstr "Unknown output format!" #: ../gui.py:1179 #, python-format msgid "Use one of: %s" msgstr "Use one of: %s" #: ../gui.py:1284 msgid "Not implemented!" msgstr "Not implemented!" #: ../gui.py:1285 msgid "do you really need it?" msgstr "do you really need it?" #: ../minimize.py:20 msgid "Algorithm: " msgstr "Algorithm: " #: ../minimize.py:25 ../progress.py:67 msgid "Convergence criterion: Fmax = " msgstr "Convergence criterion: Fmax = " #: ../minimize.py:30 ../progress.py:70 msgid "Max. number of steps: " msgstr "Max. number of steps: " #. Special stuff for MDMin #: ../minimize.py:33 msgid "Pseudo time step: " msgstr "Pseudo time step: " #: ../minimize.py:54 msgid "Energy minimization" msgstr "Energy minimisation" #: ../minimize.py:58 msgid "Minimize the energy with respect to the positions." msgstr "Minimise the energy with respect to the positions." #. Don't catch errors in the function. #. Display status message #: ../minimize.py:90 ../scaling.py:299 msgid "Running ..." msgstr "Running ..." #. Update display to reflect cancellation of simulation. #: ../minimize.py:107 #, python-format msgid "Minimization CANCELLED after %i steps." msgstr "Minimisation CANCELLED after %i steps." #: ../minimize.py:113 ../scaling.py:350 msgid "Out of memory, consider using LBFGS instead" msgstr "Out of memory, consider using LBFGS instead" #. Update display to reflect succesful end of simulation. #: ../minimize.py:120 #, python-format msgid "Minimization completed in %i steps." msgstr "Minimisation completed in %i steps." #. self.connect('delete_event', self.exit2) #: ../movie.py:14 msgid "Movie" msgstr "Movie" #: ../movie.py:16 msgid "Image number:" msgstr "Image number:" #: ../movie.py:38 msgid "Play" msgstr "Play" #: ../movie.py:40 msgid "Stop" msgstr "Stop" #. TRANSLATORS: This function plays an animation forwards and backwards #. alternatingly, e.g. for displaying vibrational movement #: ../movie.py:44 msgid "Rock" msgstr "Rock" #: ../movie.py:60 msgid " Frame rate: " msgstr " Frame rate: " #: ../movie.py:61 msgid " Skip frames: " msgstr " Skip frames: " #: ../nanoparticle.py:19 msgid "" "Create a nanoparticle either by specifying the number of layers, or using " "the\n" "Wulff construction. Please press the [Help] button for instructions on how " "to\n" "specify the directions.\n" "WARNING: The Wulff construction currently only works with cubic crystals!\n" msgstr "" "Create a nanoparticle either by specifying the number of layers, or using " "the\n" "Wulff construction. Please press the [Help] button for instructions on how " "to\n" "specify the directions.\n" "WARNING: The Wulff construction currently only works with cubic crystals!\n" #: ../nanoparticle.py:26 msgid "" "\n" "The nanoparticle module sets up a nano-particle or a cluster with a given\n" "crystal structure.\n" "\n" "1) Select the element, the crystal structure and the lattice constant(s).\n" " The [Get structure] button will find the data for a given element.\n" "\n" "2) Choose if you want to specify the number of layers in each direction, or " "if\n" " you want to use the Wulff construction. In the latter case, you must " "specify\n" " surface energies in each direction, and the size of the cluster.\n" "\n" "How to specify the directions:\n" "------------------------------\n" "\n" "First time a direction appears, it is interpreted as the entire family of\n" "directions, i.e. (0,0,1) also covers (1,0,0), (-1,0,0) etc. If one of " "these\n" "directions is specified again, the second specification overrules that " "specific\n" "direction. For this reason, the order matters and you can rearrange the\n" "directions with the [Up] and [Down] keys. You can also add a new " "direction,\n" "remember to press [Add] or it will not be included.\n" "\n" "Example: (1,0,0) (1,1,1), (0,0,1) would specify the {100} family of " "directions,\n" "the {111} family and then the (001) direction, overruling the value given " "for\n" "the whole family of directions.\n" msgstr "" "\n" "The nanoparticle module sets up a nano-particle or a cluster with a given\n" "crystal structure.\n" "\n" "1) Select the element, the crystal structure and the lattice constant(s).\n" " The [Get structure] button will find the data for a given element.\n" "\n" "2) Choose if you want to specify the number of layers in each direction, or " "if\n" " you want to use the Wulff construction. In the latter case, you must " "specify\n" " surface energies in each direction, and the size of the cluster.\n" "\n" "How to specify the directions:\n" "------------------------------\n" "\n" "First time a direction appears, it is interpreted as the entire family of\n" "directions, i.e. (0,0,1) also covers (1,0,0), (-1,0,0) etc. If one of " "these\n" "directions is specified again, the second specification overrules that " "specific\n" "direction. For this reason, the order matters and you can rearrange the\n" "directions with the [Up] and [Down] keys. You can also add a new " "direction,\n" "remember to press [Add] or it will not be included.\n" "\n" "Example: (1,0,0) (1,1,1), (0,0,1) would specify the {100} family of " "directions,\n" "the {111} family and then the (001) direction, overruling the value given " "for\n" "the whole family of directions.\n" #. Structures: Abbreviation, name, 4-index (boolean), two lattice const (bool), factory #: ../nanoparticle.py:83 msgid "Face centered cubic (fcc)" msgstr "Face centered cubic (fcc)" #: ../nanoparticle.py:84 msgid "Body centered cubic (bcc)" msgstr "Body centered cubic (bcc)" #: ../nanoparticle.py:85 msgid "Simple cubic (sc)" msgstr "Simple cubic (sc)" #: ../nanoparticle.py:86 msgid "Hexagonal closed-packed (hcp)" msgstr "Hexagonal closed-packed (hcp)" #: ../nanoparticle.py:87 msgid "Graphite" msgstr "Graphite" #: ../nanoparticle.py:116 msgid "Nanoparticle" msgstr "Nanoparticle" #. Choose the element #. Choose the element and bond length #. Choose the element #: ../nanoparticle.py:126 ../nanotube.py:40 ../surfaceslab.py:69 msgid "Element: " msgstr "Element: " #: ../nanoparticle.py:130 msgid "Get structure" msgstr "Get structure" #: ../nanoparticle.py:154 msgid "Lattice constant: a =" msgstr "Lattice constant: a =" #. Choose specification method #: ../nanoparticle.py:171 msgid "Method: " msgstr "Method: " #: ../nanoparticle.py:173 msgid "Layer specification" msgstr "Layer specification" #: ../nanoparticle.py:173 msgid "Wulff construction" msgstr "Wulff construction" #: ../nanoparticle.py:193 msgid "Dummy placeholder object" msgstr "Dummy placeholder object" #: ../nanoparticle.py:195 msgid "Add new direction:" msgstr "Add new direction:" #: ../nanoparticle.py:211 msgid "Add" msgstr "Add" #: ../nanoparticle.py:219 msgid "Set all directions to default values" msgstr "Set all directions to default values" #: ../nanoparticle.py:227 msgid "Particle size: " msgstr "Particle size: " #: ../nanoparticle.py:228 ../nanoparticle.py:265 ../progress.py:196 msgid "Number of atoms: " msgstr "Number of atoms: " #: ../nanoparticle.py:233 msgid "Volume: " msgstr "Volume: " #: ../nanoparticle.py:238 msgid "ų" msgstr "ų" #: ../nanoparticle.py:243 msgid "Rounding: If exact size is not possible, choose the size" msgstr "Rounding: If exact size is not possible, choose the size" #: ../nanoparticle.py:246 msgid "above " msgstr "above " #: ../nanoparticle.py:247 msgid "below " msgstr "below " #: ../nanoparticle.py:248 msgid "closest " msgstr "closest " #: ../nanoparticle.py:251 msgid "Smaller" msgstr "Smaller" #: ../nanoparticle.py:252 msgid "Larger" msgstr "Larger" #: ../nanoparticle.py:267 msgid " Approx. diameter: " msgstr " Approx. diameter: " #: ../nanoparticle.py:271 msgid "Information about the created cluster:" msgstr "Information about the created cluster:" #. Buttons #: ../nanoparticle.py:277 ../nanotube.py:75 msgid "Creating a nanoparticle." msgstr "Creating a nanoparticle." #: ../nanoparticle.py:284 msgid "Automatic Apply" msgstr "Automatic Apply" #: ../nanoparticle.py:332 msgid "Up" msgstr "Up" #: ../nanoparticle.py:337 msgid "Down" msgstr "Down" #: ../nanoparticle.py:342 msgid "Delete" msgstr "Delete" #: ../nanoparticle.py:383 msgid "Surface energies (as energy/area, NOT per atom):" msgstr "Surface energies (as energy/area, NOT per atom):" #: ../nanoparticle.py:389 msgid "Number of layers:" msgstr "Number of layers:" #: ../nanoparticle.py:418 msgid "At least one index must be non-zero" msgstr "At least one index must be non-zero" #: ../nanoparticle.py:421 msgid "Invalid hexagonal indices" msgstr "Invalid hexagonal indices" #: ../nanoparticle.py:476 ../surfaceslab.py:218 msgid "Invalid element." msgstr "Invalid element." #: ../nanoparticle.py:486 msgid "Unsupported or unknown structure" msgstr "Unsupported or unknown structure" #: ../nanoparticle.py:603 #, python-format msgid "%.1f Ã…" msgstr "%.1f Ã…" #: ../nanotube.py:14 msgid "" "Set up a Carbon nanotube by specifying the (n,m) roll-up vector.\n" "Please note that m <= n.\n" "\n" "Nanotubes of other elements can be made by specifying the element\n" "and bond length." msgstr "" "Set up a Carbon nanotube by specifying the (n,m) roll-up vector.\n" "Please note that m <= n.\n" "\n" "Nanotubes of other elements can be made by specifying the element\n" "and bond length." #: ../nanotube.py:33 msgid "Nanotube" msgstr "Nanotube" #. Choose the structure. #: ../nanotube.py:57 msgid "Select roll-up vector (n,m) and tube length:" msgstr "Select roll-up vector (n,m) and tube length:" #: ../progress.py:25 msgid "Progress" msgstr "Progress" #: ../progress.py:32 msgid "Scaling deformation:" msgstr "Scaling deformation:" #: ../progress.py:38 #, python-format msgid "Step number %s of %s." msgstr "Step number %s of %s." #. Minimization progress frame #. Box containing frame and spacing #: ../progress.py:53 msgid "Energy minimization:" msgstr "Energy minimisation:" #: ../progress.py:60 msgid "Step number: " msgstr "Step number: " #: ../progress.py:62 msgid "Fmax: " msgstr "Fmax: " #: ../progress.py:102 msgid "unknown" msgstr "unknown" #: ../progress.py:179 msgid "Status: " msgstr "Status: " #: ../progress.py:181 msgid "Iteration: " msgstr "Iteration: " #: ../progress.py:184 msgid "log10(change):" msgstr "log10(change):" #: ../progress.py:187 msgid "Wave functions: " msgstr "Wave functions: " #: ../progress.py:189 msgid "Density: " msgstr "Density: " #: ../progress.py:191 msgid "Energy: " msgstr "Energy: " #: ../progress.py:194 msgid "GPAW version: " msgstr "GPAW version: " #: ../progress.py:197 msgid "N/A" msgstr "N/A" #: ../progress.py:198 msgid "Memory estimate: " msgstr "Memory estimate: " #: ../progress.py:233 msgid "No info" msgstr "No info" #: ../progress.py:243 msgid "Initializing" msgstr "Initializing" #: ../progress.py:244 msgid "Positions:" msgstr "Positions:" #: ../progress.py:248 msgid "Starting calculation" msgstr "Starting calculation" #: ../progress.py:285 msgid "unchanged" msgstr "unchanged" #: ../progress.py:295 msgid "Self-consistency loop" msgstr "Self-consistency loop" #: ../progress.py:300 msgid "Calculating forces" msgstr "Calculating forces" #: ../progress.py:301 msgid " (converged)" msgstr " (converged)" #: ../pybutton.py:37 msgid "Python" msgstr "Python" #: ../pybutton.py:48 msgid "No Python code" msgstr "No Python code" #: ../pybutton.py:52 #, python-format msgid "" "\n" "Title: %(title)s\n" "Time: %(time)s\n" msgstr "" "\n" "Title: %(title)s\n" "Time: %(time)s\n" #: ../pybutton.py:61 msgid "ag: Python code" msgstr "ag: Python code" #: ../pybutton.py:65 msgid "Information:" msgstr "Information:" #: ../pybutton.py:72 msgid "Python code:" msgstr "Python code:" #: ../quickinfo.py:9 msgid "Single image loaded." msgstr "Single image loaded." #: ../quickinfo.py:10 #, python-format msgid "Image %d loaded (0 - %d)." msgstr "Image %d loaded (0 - %d)." #: ../quickinfo.py:11 msgid "Unit cell is fixed." msgstr "Unit cell is fixed." #: ../quickinfo.py:12 msgid "Unit cell varies." msgstr "Unit cell varies." #: ../quickinfo.py:14 #, python-format msgid "" "%s\n" "\n" "Number of atoms: %d.\n" "\n" "Unit cell:\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" "%s\n" msgstr "" "%s\n" "\n" "Number of atoms: %d.\n" "\n" "Unit cell:\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" "%s\n" #: ../quickinfo.py:29 msgid "Quick Info" msgstr "Quick Info" #: ../quickinfo.py:33 msgid "No atoms loaded." msgstr "No atoms loaded." #: ../render.py:14 msgid "" " Textures can be used to highlight different parts of\n" " an atomic structure. This window applies the default\n" " texture to the entire structure and optionally\n" " applies a different texture to subsets of atoms that\n" " can be selected using the mouse.\n" " An alternative selection method is based on a boolean\n" " expression in the entry box provided, using the\n" " variables x, y, z, or Z. For example, the expression\n" " Z == 11 and x > 10 and y > 10 \n" " will mark all sodium atoms with x or coordinates \n" " larger than 10. In either case, the button labeled\n" " `Create new texture from selection` will enable\n" " to change the attributes of the current selection. \n" " " msgstr "" " Textures can be used to highlight different parts of\n" " an atomic structure. This window applies the default\n" " texture to the entire structure and optionally\n" " applies a different texture to subsets of atoms that\n" " can be selected using the mouse.\n" " An alternative selection method is based on a boolean\n" " expression in the entry box provided, using the\n" " variables x, y, z, or Z. For example, the expression\n" " Z == 11 and x > 10 and y > 10 \n" " will mark all sodium atoms with x or coordinates \n" " larger than 10. In either case, the button labeled\n" " `Create new texture from selection` will enable\n" " to change the attributes of the current selection. \n" " " #: ../render.py:32 msgid "Render current view in povray ... " msgstr "Render current view in povray ... " #: ../render.py:36 #, python-format msgid "Rendering %d atoms." msgstr "Rendering %d atoms." #: ../render.py:41 msgid "Render constraints" msgstr "Render constraints" #: ../render.py:44 msgid "Width" msgstr "Width" #: ../render.py:45 msgid " Height" msgstr " Height" #: ../render.py:52 msgid "Render unit cell" msgstr "Render unit cell" #: ../render.py:61 msgid "Line width" msgstr "Line width" #: ../render.py:63 msgid "Angstrom " msgstr "Angstrom " #: ../render.py:73 msgid "Set" msgstr "Set" #: ../render.py:75 msgid "Output basename: " msgstr "Output basename: " #: ../render.py:77 msgid " Filename: " msgstr " Filename: " #: ../render.py:88 msgid " Default texture for atoms: " msgstr " Default texture for atoms: " #: ../render.py:89 msgid " transparency: " msgstr " transparency: " #: ../render.py:90 msgid "Define atom selection for new texture:" msgstr "Define atom selection for new texture:" #: ../render.py:92 msgid "Select" msgstr "Select" #: ../render.py:96 msgid "Create new texture from selection" msgstr "Create new texture from selection" #: ../render.py:98 msgid "Help on textures" msgstr "Help on textures" #: ../render.py:111 msgid "Camera type: " msgstr "Camera type: " #: ../render.py:112 msgid " Camera distance" msgstr " Camera distance" #: ../render.py:113 msgid "Render current frame" msgstr "Render current frame" #: ../render.py:117 #, python-format msgid "Render all %d frames" msgstr "Render all %d frames" #: ../render.py:122 msgid "Transparent background" msgstr "Transparent background" #: ../render.py:125 msgid "Run povray " msgstr "Run povray " #: ../render.py:128 msgid "Keep povray files " msgstr "Keep povray files " #: ../render.py:131 msgid "Show output window" msgstr "Show output window" #: ../render.py:212 msgid " transparency: " msgstr " transparency: " #: ../render.py:218 msgid "" "Can not create new texture! Must have some atoms selected to create a new " "material!" msgstr "" "Can not create new texture! Must have some atoms selected to create a new " "material!" #: ../repeat.py:14 msgid "Repeat" msgstr "Repeat" #: ../repeat.py:21 msgid "Set unit cell" msgstr "Set unit cell" #: ../rotate.py:15 msgid "Rotate" msgstr "Rotate" #: ../rotate.py:17 msgid "Rotation angles:" msgstr "Rotation angles:" #: ../rotate.py:27 msgid "" "Note:\n" "You can rotate freely\n" "with the mouse, by holding\n" "down mouse button 2." msgstr "" "Note:\n" "You can rotate freely\n" "with the mouse, by holding\n" "down mouse button 2." #: ../scaling.py:49 msgid "Homogeneous scaling" msgstr "Homogeneous scaling" #: ../scaling.py:59 msgid "3D deformation " msgstr "3D deformation " #: ../scaling.py:60 msgid "2D deformation " msgstr "2D deformation " #: ../scaling.py:61 msgid "1D deformation " msgstr "1D deformation " #: ../scaling.py:64 msgid "Bulk" msgstr "Bulk" #: ../scaling.py:66 msgid "xy-plane" msgstr "xy-plane" #: ../scaling.py:68 msgid "xz-plane" msgstr "xz-plane" #: ../scaling.py:70 msgid "yz-plane" msgstr "yz-plane" #: ../scaling.py:72 msgid "x-axis" msgstr "x-axis" #: ../scaling.py:74 msgid "y-axis" msgstr "y-axis" #: ../scaling.py:76 msgid "z-axis" msgstr "z-axis" #: ../scaling.py:89 msgid "Allow deformation along non-periodic directions." msgstr "Allow deformation along non-periodic directions." #. Parameters for the deformation #: ../scaling.py:94 msgid "Deformation:" msgstr "Deformation:" #: ../scaling.py:100 msgid "Maximal scale factor: " msgstr "Maximal scale factor: " #: ../scaling.py:103 msgid "Scale offset: " msgstr "Scale offset: " #: ../scaling.py:106 msgid "Number of steps: " msgstr "Number of steps: " #: ../scaling.py:107 msgid "Only positive deformation" msgstr "Only positive deformation" #. Atomic relaxations #: ../scaling.py:112 msgid "Atomic relaxations:" msgstr "Atomic relaxations:" #: ../scaling.py:116 msgid "On " msgstr "On " #: ../scaling.py:117 msgid "Off" msgstr "Off" #. Results #: ../scaling.py:128 msgid "Results:" msgstr "Results:" #: ../scaling.py:130 msgid "Keep original configuration" msgstr "Keep original configuration" #: ../scaling.py:132 msgid "Load optimal configuration" msgstr "Load optimal configuration" #: ../scaling.py:134 msgid "Load all configurations" msgstr "Load all configurations" #: ../scaling.py:143 msgid "Strain\t\tEnergy [eV]" msgstr "Strain\t\tEnergy [eV]" #: ../scaling.py:144 msgid "Fit:" msgstr "Fit:" #: ../scaling.py:148 msgid "2nd" msgstr "2nd" #: ../scaling.py:149 msgid "3rd" msgstr "3rd" #: ../scaling.py:153 msgid "Order of fit: " msgstr "Order of fit: " #. Update display to reflect cancellation of simulation. #: ../scaling.py:346 msgid "Calculation CANCELLED." msgstr "Calculation CANCELLED." #. Update display to reflect succesful end of simulation. #: ../scaling.py:357 msgid "Calculation completed." msgstr "Calculation completed." #: ../scaling.py:380 msgid "No trustworthy minimum: Old configuration kept." msgstr "No trustworthy minimum: Old configuration kept." #: ../scaling.py:420 #, python-format msgid "" "Insufficent data for a fit\n" "(only %i data points)\n" msgstr "" "Insufficent data for a fit\n" "(only %i data points)\n" #: ../scaling.py:424 msgid "" "REVERTING TO 2ND ORDER FIT\n" "(only 3 data points)\n" "\n" msgstr "" "REVERTING TO 2ND ORDER FIT\n" "(only 3 data points)\n" "\n" #: ../scaling.py:440 msgid "No minimum found!" msgstr "No minimum found!" #: ../scaling.py:454 msgid "" "\n" "WARNING: Minimum is outside interval\n" msgstr "" "\n" "WARNING: Minimum is outside interval\n" #: ../scaling.py:455 msgid "It is UNRELIABLE!\n" msgstr "It is UNRELIABLE!\n" #: ../settings.py:16 msgid "Constraints:" msgstr "Constraints:" #: ../settings.py:19 msgid "release" msgstr "release" #: ../settings.py:23 msgid "Constrain immobile atoms" msgstr "Constrain immobile atoms" #: ../settings.py:25 msgid "Clear all constraints" msgstr "Clear all constraints" #: ../settings.py:31 msgid "Visibility:" msgstr "Visibility:" #: ../settings.py:32 msgid "Hide" msgstr "Hide" #: ../settings.py:34 msgid "show" msgstr "show" #: ../settings.py:38 msgid "View all atoms" msgstr "View all atoms" #: ../settings.py:44 msgid "Miscellaneous:" msgstr "Miscellaneous:" #: ../settings.py:47 msgid "Scale atomic radii:" msgstr "Scale atomic radii:" #. A close button #: ../settings.py:52 msgid "\n" msgstr "\n" #: ../setupwindow.py:51 msgid "No crystal structure data" msgstr "No crystal structure data" #: ../setupwindow.py:62 msgid " ERROR: Invalid element!" msgstr " ERROR: Invalid element!" #: ../simulation.py:24 msgid " (rerun simulation)" msgstr " (rerun simulation)" #: ../simulation.py:25 msgid " (continue simulation)" msgstr " (continue simulation)" #: ../simulation.py:27 msgid "Select starting configuration:" msgstr "Select starting configuration:" #: ../simulation.py:32 #, python-format msgid "There are currently %i configurations loaded." msgstr "There are currently %i configurations loaded." #: ../simulation.py:36 msgid "Choose which one to use as the initial configuration" msgstr "Choose which one to use as the initial configuration" #: ../simulation.py:40 #, python-format msgid "The first configuration %s." msgstr "The first configuration %s." #: ../simulation.py:43 msgid "Configuration number " msgstr "Configuration number " #: ../simulation.py:49 #, python-format msgid "The last configuration %s." msgstr "The last configuration %s." #: ../simulation.py:85 msgid "Run" msgstr "Run" #: ../simulation.py:105 msgid "No calculator: Use Calculate/Set Calculator on the menu." msgstr "No calculator: Use Calculate/Set Calculator on the menu." #: ../status.py:37 ../status.py:39 msgid "Tip for status box ..." msgstr "Tip for status box ..." #. TRANSLATORS: mom refers to magnetic moment #: ../status.py:63 #, python-format msgid " tag=%(tag)s mom=%(mom)1.2f" msgstr " tag=%(tag)s mom=%(mom)1.2f" #: ../status.py:104 msgid "dihedral" msgstr "dihedral" #: ../surfaceslab.py:14 msgid "" " Use this dialog to create surface slabs. Select the element by\n" "writing the chemical symbol or the atomic number in the box. Then\n" "select the desired surface structure. Note that some structures can\n" "be created with an othogonal or a non-orthogonal unit cell, in these\n" "cases the non-orthogonal unit cell will contain fewer atoms.\n" "\n" " If the structure matches the experimental crystal structure, you can\n" "look up the lattice constant, otherwise you have to specify it\n" "yourself." msgstr "" " Use this dialog to create surface slabs. Select the element by\n" "writing the chemical symbol or the atomic number in the box. Then\n" "select the desired surface structure. Note that some structures can\n" "be created with an othogonal or a non-orthogonal unit cell, in these\n" "cases the non-orthogonal unit cell will contain fewer atoms.\n" "\n" " If the structure matches the experimental crystal structure, you can\n" "look up the lattice constant, otherwise you have to specify it\n" "yourself." #. Name, structure, orthogonal, support-nonorthogonal, function #: ../surfaceslab.py:26 msgid "FCC(100)" msgstr "FCC(100)" #: ../surfaceslab.py:26 ../surfaceslab.py:27 ../surfaceslab.py:28 #: ../surfaceslab.py:30 msgid "fcc" msgstr "fcc" #: ../surfaceslab.py:27 msgid "FCC(110)" msgstr "FCC(110)" #: ../surfaceslab.py:28 msgid "FCC(111) non-orthogonal" msgstr "FCC(111) non-orthogonal" #: ../surfaceslab.py:30 msgid "FCC(111) orthogonal" msgstr "FCC(111) orthogonal" #: ../surfaceslab.py:31 msgid "BCC(100)" msgstr "BCC(100)" #: ../surfaceslab.py:31 ../surfaceslab.py:32 ../surfaceslab.py:34 #: ../surfaceslab.py:35 ../surfaceslab.py:37 msgid "bcc" msgstr "bcc" #: ../surfaceslab.py:32 msgid "BCC(110) non-orthogonal" msgstr "BCC(110) non-orthogonal" #: ../surfaceslab.py:34 msgid "BCC(110) orthogonal" msgstr "BCC(110) orthogonal" #: ../surfaceslab.py:35 msgid "BCC(111) non-orthogonal" msgstr "BCC(111) non-orthogonal" #: ../surfaceslab.py:37 msgid "BCC(111) orthogonal" msgstr "BCC(111) orthogonal" #: ../surfaceslab.py:38 msgid "HCP(0001) non-orthogonal" msgstr "HCP(0001) non-orthogonal" #: ../surfaceslab.py:38 ../surfaceslab.py:40 ../surfaceslab.py:41 msgid "hcp" msgstr "hcp" #: ../surfaceslab.py:40 msgid "HCP(0001) orthogonal" msgstr "HCP(0001) orthogonal" #: ../surfaceslab.py:41 msgid "HCP(10-10) orthogonal" msgstr "HCP(10-10) orthogonal" #: ../surfaceslab.py:43 msgid "DIAMOND(100) orthogonal" msgstr "DIAMOND(100) orthogonal" #: ../surfaceslab.py:43 ../surfaceslab.py:45 msgid "diamond" msgstr "diamond" #: ../surfaceslab.py:45 msgid "DIAMOND(111) non-orthogonal" msgstr "DIAMOND(111) non-orthogonal" #: ../surfaceslab.py:60 msgid "Surface" msgstr "Surface" #: ../surfaceslab.py:90 msgid "Lattice constant: " msgstr "Lattice constant: " #: ../surfaceslab.py:97 msgid "a:" msgstr "a:" #: ../surfaceslab.py:109 #, python-format msgid "(%.1f %% of ideal)" msgstr "(%.1f %% of ideal)" #: ../surfaceslab.py:126 msgid "Size: \tx: " msgstr "Size: \tx: " #: ../surfaceslab.py:128 msgid "\t\ty: " msgstr "\t\ty: " #: ../surfaceslab.py:130 msgid " \t\tz: " msgstr " \t\tz: " #: ../surfaceslab.py:131 msgid " layers, " msgstr " layers, " #: ../surfaceslab.py:132 msgid " Ã… vacuum" msgstr " Ã… vacuum" #: ../surfaceslab.py:133 msgid "\t\tNo size information yet." msgstr "\t\tNo size information yet." #. Buttons #: ../surfaceslab.py:142 msgid "Creating a surface slab." msgstr "Creating a surface slab." #: ../surfaceslab.py:212 #, python-format msgid "%i atoms." msgstr "%i atoms." #: ../surfaceslab.py:224 msgid "No structure specified!" msgstr "No structure specified!" #: ../surfaceslab.py:233 #, python-format msgid "%(struct)s lattice constant unknown for %(element)s." msgstr "%(struct)s lattice constant unknown for %(element)s." #: ../widgets.py:53 ../widgets.py:80 msgid "Help" msgstr "Help" #: ../widgets.py:97 msgid "Clear constraint" msgstr "Clear constraint" #~ msgid " %8.3f, %8.3f, %8.3f eV/Ã…\n" #~ msgstr " %8.3f, %8.3f, %8.3f eV/Ã…\n" #~ msgid "%s (a=%.3f Ã…)" #~ msgstr "%s (a=%.3f Ã…)" #~ msgid " %s: %s, Z=%i, %s" #~ msgstr " %s: %s, Z=%i, %s" #~ msgid " #%d %s (%s): %.3f Ã…, %.3f Ã…, %.3f Ã… " #~ msgstr " #%d %s (%s): %.3f Ã…, %.3f Ã…, %.3f Ã… " #~ msgid " %s-%s: %.3f Ã…" #~ msgstr " %s-%s: %.3f Ã…" #~ msgid " %s-%s-%s: %.1f°, %.1f°, %.1f°" #~ msgstr " %s-%s-%s: %.1f°, %.1f°, %.1f°" #~ msgid "dihedral %s->%s->%s->%s: %.1f°" #~ msgstr "dihedral %s->%s->%s->%s: %.1f°" #~ msgid "c:" #~ msgstr "c:" #~ msgid "\t\t%.2f Ã… x %.2f Ã… x %.2f Ã…, %i atoms." #~ msgstr "\t\t%.2f Ã… x %.2f Ã… x %.2f Ã…, %i atoms." #~ msgid "FILE" #~ msgstr "FILE" #~ msgid "%prog [options] [file[, file2, ...]]" #~ msgstr "%prog [options] [file[, file2, ...]]" #~ msgid "NUMBER" #~ msgstr "NUMBER" #~ msgid "" #~ "Pick image(s) from trajectory. NUMBER can be a single number (use a " #~ "negative number to count from the back) or a range: start:stop:step, " #~ "where the \":step\" part can be left out - default values are 0:nimages:1." #~ msgstr "" #~ "Pick image(s) from trajectory. NUMBER can be a single number (use a " #~ "negative number to count from the back) or a range: start:stop:step, " #~ "where the \":step\" part can be left out - default values are 0:nimages:1." #~ msgid "I" #~ msgstr "I" #~ msgid "" #~ "0: Don't show unit cell. 1: Show unit cell. 2: Show all of unit cell." #~ msgstr "" #~ "0: Don't show unit cell. 1: Show unit cell. 2: Show all of unit cell." #~ msgid "Repeat unit cell. Use \"-r 2\" or \"-r 2,3,1\"." #~ msgstr "Repeat unit cell. Use \"-r 2\" or \"-r 2,3,1\"." #~ msgid "Examples: \"-R -90x\", \"-R 90z,-30x\"." #~ msgstr "Examples: \"-R -90x\", \"-R 90z,-30x\"." #~ msgid "Write configurations to FILE." #~ msgstr "Write configurations to FILE." #~ msgid "EXPR" #~ msgstr "EXPR" #~ msgid "" #~ "Plot x,y1,y2,... graph from configurations or write data to sdtout in " #~ "terminal mode. Use the symbols: i, s, d, fmax, e, ekin, A, R, E and F. " #~ "See https://wiki.fysik.dtu.dk/ase/ase/gui.html#plotting-data for more " #~ "details." #~ msgstr "" #~ "Plot x,y1,y2,... graph from configurations or write data to sdtout in " #~ "terminal mode. Use the symbols: i, s, d, fmax, e, ekin, A, R, E and F. " #~ "See https://wiki.fysik.dtu.dk/ase/ase/gui.html#plotting-data for more " #~ "details." #~ msgid "Run in terminal window - no GUI." #~ msgstr "Run in terminal window - no GUI." #~ msgid "Read ANEB data." #~ msgstr "Read ANEB data." #~ msgid "N" #~ msgstr "N" #~ msgid "Interpolate N images between 2 given images." #~ msgstr "Interpolate N images between 2 given images." #~ msgid "Draw bonds between atoms." #~ msgstr "Draw bonds between atoms." python-ase-3.6.0.2515/ase/gui/po/makefile0000644000175400017540000000354311711330540016652 0ustar askhlaskhl# This makefile is used to update templates for internationalization ("i18n") # of ag. # INSTRUCTIONS # ------------ # # To update existing templates with strings from the latest python files, # just run 'make'. # # To create a translation template for a new language (e.g. de_DE.UTF8), run: # LANG=de_DE.UTF8 make init # # List of files calling gettext. TRANSLATIONFILES=../ag.py ../calculator.py ../colors.py ../constraints.py ../crystal.py ../debug.py ../dft.py ../energyforces.py ../execute.py ../graphene.py ../graphs.py ../gtkexcepthook.py ../gui.py ../minimize.py ../movie.py ../nanoparticle.py ../nanotube.py ../progress.py ../pybutton.py ../quickinfo.py ../render.py ../repeat.py ../rotate.py ../scaling.py ../settings.py ../setupwindow.py ../simulation.py ../status.py ../surfaceslab.py ../widgets.py i18n: ag.pot update-po compile # This will update the English template (ag.pot) with English messages from # the Python source code. ag.pot: ${TRANSLATIONFILES} xgettext --add-comments --language=Python --keyword=_ --output=ag.pot ${TRANSLATIONFILES} # This will create an empty translation file ($LANG.po, where $LANG is # an environment variable) from the English template ag.pot. # The po-file header will have to be edited afterwards. init: ag.pot mkdir -p ${LANG}/LC_MESSAGES msginit --locale=${LANG} --input=ag.pot --output-file=${LANG}/LC_MESSAGES/ag.po # This will merge new/changed English strings from the template ag.pot # into all existing translations (*.po), maximally # reusing the existing translations. update-po: ag.pot for FILE in $(wildcard */LC_MESSAGES/ag.po); do \ msgmerge --update $$FILE ag.pot ;\ done # This will compile all translations (*.po) into binary files in gettext's # search directory. compile: */LC_MESSAGES/ag.po for DIR in $(wildcard */LC_MESSAGES/); do \ msgfmt -cv --output-file=$$DIR/ag.mo $$DIR/ag.po ;\ done python-ase-3.6.0.2515/ase/gui/po/ag.pot0000644000175400017540000014555011716573517016314 0ustar askhlaskhl# SOME DESCRIPTIVE TITLE. # Copyright (C) YEAR THE PACKAGE'S COPYRIGHT HOLDER # This file is distributed under the same license as the PACKAGE package. # FIRST AUTHOR , YEAR. # #, fuzzy msgid "" msgstr "" "Project-Id-Version: PACKAGE VERSION\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2012-02-14 13:35+0100\n" "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n" "Last-Translator: FULL NAME \n" "Language-Team: LANGUAGE \n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" "Content-Transfer-Encoding: 8bit\n" "Plural-Forms: nplurals=INTEGER; plural=EXPRESSION;\n" #: ../ag.py:130 msgid "" "\n" "An exception occurred! Please report the issue to\n" "ase-developers@listserv.fysik.dtu.dk - thanks! Please also report this if\n" "it was a user error, so that a better error message can be provided\n" "next time." msgstr "" #. Asap and GPAW may be imported if selected. #: ../calculator.py:18 msgid "" "To make most calculations on the atoms, a Calculator object must first\n" "be associated with it. ASE supports a number of calculators, supporting\n" "different elements, and implementing different physical models for the\n" "interatomic interactions." msgstr "" #. Informational text about the calculators #: ../calculator.py:26 msgid "" "The Lennard-Jones pair potential is one of the simplest\n" "possible models for interatomic interactions, mostly\n" "suitable for noble gasses and model systems.\n" "\n" "Interactions are described by an interaction length and an\n" "interaction strength." msgstr "" #: ../calculator.py:35 msgid "" "The EMT potential is a many-body potential, giving a\n" "good description of the late transition metals crystalling\n" "in the FCC crystal structure. The elements described by the\n" "main set of EMT parameters are Al, Ni, Cu, Pd, Ag, Pt, and\n" "Au, the Al potential is however not suitable for materials\n" "science application, as the stacking fault energy is wrong.\n" "\n" "A number of parameter sets are provided.\n" "\n" "Default parameters:\n" "\n" "The default EMT parameters, as published in K. W. Jacobsen,\n" "P. Stoltze and J. K. Nørskov, Surf. Sci. 366, 394 (1996).\n" "\n" "Alternative Cu, Ag and Au:\n" "\n" "An alternative set of parameters for Cu, Ag and Au,\n" "reoptimized to experimental data including the stacking\n" "fault energies by Torben Rasmussen (partly unpublished).\n" "\n" "Ruthenium:\n" "\n" "Parameters for Ruthenium, as published in J. Gavnholt and\n" "J. Schiøtz, Phys. Rev. B 77, 035404 (2008).\n" "\n" "Metallic glasses:\n" "\n" "Parameters for MgCu and CuZr metallic glasses. MgCu\n" "parameters are in N. P. Bailey, J. Schiøtz and\n" "K. W. Jacobsen, Phys. Rev. B 69, 144205 (2004).\n" "CuZr in A. Paduraru, A. Kenoufi, N. P. Bailey and\n" "J. Schiøtz, Adv. Eng. Mater. 9, 505 (2007).\n" msgstr "" #: ../calculator.py:70 msgid "" "The EMT potential is a many-body potential, giving a\n" "good description of the late transition metals crystalling\n" "in the FCC crystal structure. The elements described by the\n" "main set of EMT parameters are Al, Ni, Cu, Pd, Ag, Pt, and\n" "Au. In addition, this implementation allows for the use of\n" "H, N, O and C adatoms, although the description of these is\n" "most likely not very good.\n" "\n" "This is the ASE implementation of EMT. For large\n" "simulations the ASAP implementation is more suitable; this\n" "implementation is mainly to make EMT available when ASAP is\n" "not installed.\n" msgstr "" #: ../calculator.py:85 msgid "" "The Brenner potential is a reactive bond-order potential for\n" "carbon and hydrocarbons. As a bond-order potential, it takes\n" "into account that carbon orbitals can hybridize in different\n" "ways, and that carbon can form single, double and triple\n" "bonds. That the potential is reactive means that it can\n" "handle gradual changes in the bond order as chemical bonds\n" "are formed or broken.\n" "\n" "The Brenner potential is implemented in Asap, based on a\n" "C implentation published at http://www.rahul.net/pcm/brenner/ .\n" "\n" "The potential is documented here:\n" " Donald W Brenner, Olga A Shenderova, Judith A Harrison,\n" " Steven J Stuart, Boris Ni and Susan B Sinnott:\n" " \"A second-generation reactive empirical bond order (REBO)\n" " potential energy expression for hydrocarbons\",\n" " J. Phys.: Condens. Matter 14 (2002) 783-802.\n" " doi: 10.1088/0953-8984/14/4/312\n" msgstr "" #: ../calculator.py:107 msgid "" "GPAW implements Density Functional Theory using a\n" "Grid-based real-space representation of the wave\n" "functions, and the Projector Augmented Wave\n" "method for handling the core regions. \n" msgstr "" #: ../calculator.py:114 msgid "" "FHI-aims is an external package implementing density \n" "functional theory and quantum chemical methods using \n" "all-electron methods and a numeric local orbital basis set. \n" "For full details, see http://www.fhi-berlin.mpg.de/aims/ \n" "or Comp. Phys. Comm. v180 2175 (2009). The ASE \n" "documentation contains information on the keywords and \n" "functionalities available within this interface. \n" msgstr "" #: ../calculator.py:124 msgid "" "WARNING:\n" "Your system seems to have more than zero but less than \n" "three periodic dimensions. Please check that this is \n" "really what you want to compute. Assuming full \n" "3D periodicity for this calculator." msgstr "" #: ../calculator.py:131 msgid "" "VASP is an external package implementing density \n" "functional functional theory using pseudopotentials \n" "or the projector-augmented wave method together \n" "with a plane wave basis set. For full details, see\n" "http://cms.mpi.univie.ac.at/vasp/vasp/\n" msgstr "" #: ../calculator.py:140 msgid "Default (Al, Ni, Cu, Pd, Ag, Pt, Au)" msgstr "" #: ../calculator.py:141 msgid "Alternative Cu, Ag and Au" msgstr "" #: ../calculator.py:142 msgid "Ruthenium" msgstr "" #: ../calculator.py:143 msgid "CuMg and CuZr metallic glass" msgstr "" #: ../calculator.py:158 msgid "Select calculator" msgstr "" #: ../calculator.py:164 msgid "Calculator:" msgstr "" #. No calculator (the default) #: ../calculator.py:167 msgid "None" msgstr "" #: ../calculator.py:172 msgid "Lennard-Jones (ASAP)" msgstr "" #: ../calculator.py:173 ../calculator.py:206 ../calculator.py:215 #: ../calculator.py:224 msgid "Setup" msgstr "" #: ../calculator.py:180 msgid "EMT - Effective Medium Theory (ASAP)" msgstr "" #: ../calculator.py:192 msgid "EMT - Effective Medium Theory (ASE)" msgstr "" #: ../calculator.py:198 msgid "Brenner Potential (ASAP)" msgstr "" #: ../calculator.py:204 msgid "Density Functional Theory (GPAW)" msgstr "" #: ../calculator.py:213 msgid "Density Functional Theory (FHI-aims)" msgstr "" #: ../calculator.py:222 msgid "Density Functional Theory (VASP)" msgstr "" #: ../calculator.py:235 msgid "Check that the calculator is reasonable." msgstr "" #: ../calculator.py:298 ../simulation.py:114 msgid "No atoms present" msgstr "" #: ../calculator.py:388 ../calculator.py:422 ../calculator.py:456 msgid "ASAP is not installed. (Failed to import asap3)" msgstr "" #: ../calculator.py:391 msgid "You must set up the Lennard-Jones parameters" msgstr "" #: ../calculator.py:396 msgid "Could not create useful Lennard-Jones calculator." msgstr "" #: ../calculator.py:430 msgid "Could not attach EMT calculator to the atoms." msgstr "" #: ../calculator.py:472 ../calculator.py:484 msgid "GPAW is not installed. (Failed to import gpaw)" msgstr "" #: ../calculator.py:475 msgid "You must set up the GPAW parameters" msgstr "" #: ../calculator.py:516 msgid "You must set up the FHI-aims parameters" msgstr "" #: ../calculator.py:530 msgid "You must set up the VASP parameters" msgstr "" #: ../calculator.py:554 #, python-format msgid "Element %(sym)s not allowed by the '%(name)s' calculator" msgstr "" #: ../calculator.py:561 msgid "Info" msgstr "" #: ../calculator.py:577 msgid "Lennard-Jones parameters" msgstr "" #: ../calculator.py:589 msgid "Specify the Lennard-Jones parameters here" msgstr "" #: ../calculator.py:592 msgid "Epsilon (eV):" msgstr "" #: ../calculator.py:596 msgid "Sigma (Ã…):" msgstr "" #. TRANSLATORS: Shift roughly means adjust (about a potential) #: ../calculator.py:600 msgid "Shift to make smooth at cutoff" msgstr "" #: ../calculator.py:681 msgid "GPAW parameters" msgstr "" #. label = gtk.Label("Specify the GPAW parameters here") #. pack(vbox, [label]) #. Print some info #: ../calculator.py:696 ../calculator.py:985 ../calculator.py:1473 #, python-format msgid "%i atoms.\n" msgstr "" #: ../calculator.py:698 #, python-format msgid "Orthogonal unit cell: %.2f x %.2f x %.2f Ã…." msgstr "" #: ../calculator.py:700 msgid "Non-orthogonal unit cell:\n" msgstr "" #: ../calculator.py:710 ../calculator.py:1001 ../calculator.py:1488 msgid "Exchange-correlation functional: " msgstr "" #. Grid spacing #: ../calculator.py:714 msgid "Grid spacing" msgstr "" #: ../calculator.py:718 ../graphene.py:67 ../graphene.py:79 ../graphene.py:102 #: ../nanotube.py:47 ../surfaceslab.py:97 msgid "Ã…" msgstr "" #: ../calculator.py:719 msgid "Grid points" msgstr "" #: ../calculator.py:728 #, python-format msgid "heff = (%.3f, %.3f, %.3f) Ã…" msgstr "" #: ../calculator.py:754 ../calculator.py:1016 ../calculator.py:1524 msgid "k-points k = (" msgstr "" #: ../calculator.py:758 ../calculator.py:1020 #, python-format msgid "k-points x size: (%.1f, %.1f, %.1f) Ã…" msgstr "" #. Spin polarized #: ../calculator.py:763 ../calculator.py:1486 msgid "Spin polarized" msgstr "" #: ../calculator.py:769 msgid "FD - Finite Difference (grid) mode" msgstr "" #: ../calculator.py:770 msgid "LCAO - Linear Combination of Atomic Orbitals" msgstr "" #: ../calculator.py:773 msgid "Mode: " msgstr "" #: ../calculator.py:775 msgid "sz - Single Zeta" msgstr "" #: ../calculator.py:776 msgid "szp - Single Zeta polarized" msgstr "" #: ../calculator.py:777 msgid "dzp - Double Zeta polarized" msgstr "" #. dzp #: ../calculator.py:779 msgid "Basis functions: " msgstr "" #. Mixer #: ../calculator.py:785 msgid "Non-standard mixer parameters" msgstr "" #: ../calculator.py:981 msgid "FHI-aims parameters" msgstr "" #: ../calculator.py:988 msgid "Periodic geometry, unit cell is:\n" msgstr "" #: ../calculator.py:993 msgid "Non-periodic geometry.\n" msgstr "" #: ../calculator.py:1000 msgid "Hirshfeld-based dispersion correction" msgstr "" #. Spin polarized, charge, relativity #: ../calculator.py:1026 msgid "Spin / initial moment " msgstr "" #: ../calculator.py:1044 msgid " Charge" msgstr "" #: ../calculator.py:1046 msgid " Relativity" msgstr "" #: ../calculator.py:1048 msgid " Threshold" msgstr "" #. self-consistency criteria #: ../calculator.py:1053 msgid "Self-consistency convergence:" msgstr "" #: ../calculator.py:1066 msgid "Compute forces" msgstr "" #. XXX: use gtk table for layout. Spaces will not work well otherwise #. (depend on fonts, widget style, ...) #. TRANSLATORS: Don't care too much about these, just get approximately #. the same string lengths #: ../calculator.py:1077 msgid "Energy: " msgstr "" #: ../calculator.py:1079 msgid " eV Sum of eigenvalues: " msgstr "" #: ../calculator.py:1081 ../calculator.py:1559 msgid " eV" msgstr "" #: ../calculator.py:1082 msgid "Electron density: " msgstr "" #: ../calculator.py:1084 msgid " Force convergence: " msgstr "" #: ../calculator.py:1086 msgid " eV/Ang " msgstr "" #: ../calculator.py:1099 ../calculator.py:1570 msgid "Additional keywords: " msgstr "" #. run command and species defaults: #: ../calculator.py:1113 msgid "FHI-aims execution command: " msgstr "" #: ../calculator.py:1115 ../calculator.py:1587 msgid "Directory for species defaults: " msgstr "" #: ../calculator.py:1127 ../calculator.py:1595 msgid "Set Defaults" msgstr "" #: ../calculator.py:1129 msgid "Import control.in" msgstr "" #: ../calculator.py:1131 msgid "Export control.in" msgstr "" #: ../calculator.py:1317 msgid "Export parameters ... " msgstr "" #: ../calculator.py:1337 msgid "Import control.in file ... " msgstr "" #: ../calculator.py:1393 ../calculator.py:1907 #, python-format msgid "" "Please use the facilities provided in this window to manipulate the keyword: " "%s!" msgstr "" #: ../calculator.py:1396 #, python-format msgid "" "Don't know this keyword: %s\n" "\n" "Please check!\n" "\n" "If you really think it should be available, please add it to the top of ase/" "calculators/aims.py." msgstr "" #: ../calculator.py:1469 msgid "VASP parameters" msgstr "" #: ../calculator.py:1475 msgid "Periodic geometry, unit cell is: \n" msgstr "" #: ../calculator.py:1527 msgid ") Cutoff: " msgstr "" #: ../calculator.py:1528 msgid " Precision: " msgstr "" #: ../calculator.py:1530 #, python-format msgid "k-points x size: (%.1f, %.1f, %.1f) Ã… " msgstr "" #: ../calculator.py:1546 msgid "Smearing: " msgstr "" #: ../calculator.py:1548 msgid " order: " msgstr "" #: ../calculator.py:1550 msgid " width: " msgstr "" #: ../calculator.py:1557 msgid "Self-consistency convergence: " msgstr "" #. run command and location of POTCAR files: #: ../calculator.py:1583 msgid "VASP execution command: " msgstr "" #: ../calculator.py:1597 msgid "Import VASP files" msgstr "" #: ../calculator.py:1599 msgid "Export VASP files" msgstr "" #: ../calculator.py:1810 msgid "WARNING: cutoff energy is lower than recommended minimum!" msgstr "" #: ../calculator.py:1862 msgid "Import VASP input files: choose directory ... " msgstr "" #: ../calculator.py:1877 msgid "Export VASP input files: choose directory ... " msgstr "" #: ../calculator.py:1910 #, python-format msgid "" "Don't know this keyword: %s\n" "Please check!\n" "\n" "If you really think it should be available, please add it to the top of ase/" "calculators/vasp.py." msgstr "" #: ../colors.py:24 msgid "Colors" msgstr "" #. Upper left: Choose how the atoms are colored. #: ../colors.py:41 msgid "Choose how the atoms are colored:" msgstr "" #: ../colors.py:43 msgid "By atomic number, default \"jmol\" colors" msgstr "" #: ../colors.py:45 msgid "By atomic number, user specified" msgstr "" #: ../colors.py:46 msgid "By tag" msgstr "" #: ../colors.py:47 msgid "By force" msgstr "" #: ../colors.py:48 msgid "By velocity" msgstr "" #: ../colors.py:49 msgid "Manually specified" msgstr "" #: ../colors.py:50 msgid "All the same color" msgstr "" #. Now fill in the box for additional information in case the force is used. #: ../colors.py:60 msgid "This should not be displayed!" msgstr "" #: ../colors.py:65 ../colors.py:82 ../rotate.py:25 msgid "Update" msgstr "" #: ../colors.py:67 ../colors.py:84 msgid "Min: " msgstr "" #: ../colors.py:69 ../colors.py:86 msgid " Max: " msgstr "" #: ../colors.py:71 ../colors.py:88 msgid " Steps: " msgstr "" #: ../colors.py:95 msgid "Create a color scale:" msgstr "" #: ../colors.py:98 msgid "Black - white" msgstr "" #: ../colors.py:99 msgid "Black - red - yellow - white" msgstr "" #: ../colors.py:100 msgid "Black - green - white" msgstr "" #: ../colors.py:101 msgid "Black - blue - cyan" msgstr "" #: ../colors.py:102 msgid "Hue" msgstr "" #: ../colors.py:103 msgid "Named colors" msgstr "" #: ../colors.py:109 msgid "Create" msgstr "" #: ../colors.py:367 #, python-format msgid "Max force: %.2f (this frame), %.2f (all frames)" msgstr "" #: ../colors.py:369 #, python-format msgid "Max force: %.2f." msgstr "" #: ../colors.py:383 #, python-format msgid "Max velocity: %.2f (this frame), %.2f (all frames)" msgstr "" #: ../colors.py:385 #, python-format msgid "Max velocity: %.2f." msgstr "" #: ../colors.py:426 msgid "ERROR" msgstr "" #: ../colors.py:455 msgid "ERR" msgstr "" #: ../colors.py:542 msgid "Incorrect color specification" msgstr "" #: ../constraints.py:13 ../widgets.py:89 msgid "Constraints" msgstr "" #: ../constraints.py:15 ../constraints.py:18 ../settings.py:17 #: ../widgets.py:91 ../widgets.py:94 msgid "Constrain" msgstr "" #: ../constraints.py:16 ../settings.py:20 ../settings.py:35 ../widgets.py:92 msgid " selected atoms" msgstr "" #: ../constraints.py:19 ../widgets.py:95 msgid " immobile atoms:" msgstr "" #: ../constraints.py:21 msgid "Unconstrain" msgstr "" #: ../constraints.py:22 msgid " selected atoms:" msgstr "" #: ../constraints.py:24 msgid "Clear constraints" msgstr "" #: ../constraints.py:26 ../dft.py:29 ../settings.py:53 ../widgets.py:60 #: ../widgets.py:99 msgid "Close" msgstr "" #: ../crystal.py:16 msgid "" " Use this dialog to create crystal lattices. First select the structure,\n" " either from a set of common crystal structures, or by space group " "description.\n" " Then add all other lattice parameters.\n" "\n" " If an experimental crystal structure is available for an atom, you can\n" " look up the crystal type and lattice constant, otherwise you have to " "specify it\n" " yourself. " msgstr "" #: ../crystal.py:33 #, python-format msgid " %(natoms)i atoms: %(symbols)s, Volume: %(volume).3f A3" msgstr "" #: ../crystal.py:58 msgid "Create Bulk Crystal by Spacegroup" msgstr "" #: ../crystal.py:72 msgid "Number: 1" msgstr "" #: ../crystal.py:73 msgid "Lattice: " msgstr "" #: ../crystal.py:73 msgid "\tSpace group: " msgstr "" #: ../crystal.py:77 msgid "Size: x: " msgstr "" #: ../crystal.py:78 ../crystal.py:138 msgid " y: " msgstr "" #: ../crystal.py:79 ../crystal.py:139 msgid " z: " msgstr "" #: ../crystal.py:80 ../surfaceslab.py:127 ../surfaceslab.py:129 msgid " unit cells" msgstr "" #: ../crystal.py:92 ../crystal.py:96 ../crystal.py:100 ../crystal.py:104 #: ../crystal.py:108 ../crystal.py:112 msgid "free" msgstr "" #: ../crystal.py:93 ../crystal.py:102 msgid "equals b" msgstr "" #: ../crystal.py:94 ../crystal.py:98 msgid "equals c" msgstr "" #: ../crystal.py:95 ../crystal.py:99 ../crystal.py:103 ../crystal.py:107 #: ../crystal.py:111 ../crystal.py:115 msgid "fixed" msgstr "" #: ../crystal.py:97 ../crystal.py:101 msgid "equals a" msgstr "" #: ../crystal.py:105 ../crystal.py:114 msgid "equals beta" msgstr "" #: ../crystal.py:106 ../crystal.py:110 msgid "equals gamma" msgstr "" #: ../crystal.py:109 ../crystal.py:113 msgid "equals alpha" msgstr "" #: ../crystal.py:119 msgid "Lattice parameters" msgstr "" #: ../crystal.py:120 msgid "\t\ta:\t" msgstr "" #: ../crystal.py:121 msgid "\talpha:\t" msgstr "" #: ../crystal.py:122 msgid "\t\tb:\t" msgstr "" #: ../crystal.py:123 msgid "\tbeta:\t" msgstr "" #: ../crystal.py:124 msgid "\t\tc:\t" msgstr "" #: ../crystal.py:125 msgid "\tgamma:\t" msgstr "" #: ../crystal.py:126 ../surfaceslab.py:99 msgid "Get from database" msgstr "" #: ../crystal.py:131 msgid "Basis: " msgstr "" #: ../crystal.py:137 msgid " Element:\t" msgstr "" #: ../crystal.py:137 msgid "\tx: " msgstr "" #: ../crystal.py:157 msgid "Creating a crystal." msgstr "" #: ../crystal.py:202 #, python-format msgid "Symbol: %s" msgstr "" #: ../crystal.py:207 #, python-format msgid "Number: %s" msgstr "" #: ../crystal.py:210 msgid "Invalid Spacegroup!" msgstr "" #: ../crystal.py:336 ../crystal.py:339 msgid "Please specify a consistent set of atoms." msgstr "" #: ../crystal.py:348 ../graphene.py:230 ../nanoparticle.py:613 #: ../nanotube.py:139 ../surfaceslab.py:248 msgid "No valid atoms." msgstr "" #: ../crystal.py:465 msgid "Can't find lattice definition!" msgstr "" #: ../debug.py:11 msgid "Debug" msgstr "" #: ../dft.py:13 msgid "DFT" msgstr "" #: ../dft.py:19 msgid "XC-functional: " msgstr "" #: ../dft.py:23 ../repeat.py:16 msgid "Repeat atoms:" msgstr "" #: ../energyforces.py:11 msgid "Output:" msgstr "" #: ../energyforces.py:41 msgid "Save output" msgstr "" #: ../energyforces.py:57 msgid "Potential energy and forces" msgstr "" #: ../energyforces.py:61 msgid "Calculate potential energy and the force on all atoms" msgstr "" #: ../energyforces.py:65 msgid "Write forces on the atoms" msgstr "" #: ../energyforces.py:82 msgid "Potential Energy:\n" msgstr "" #: ../energyforces.py:83 #, python-format msgid " %8.2f eV\n" msgstr "" #: ../energyforces.py:84 #, python-format msgid "" " %8.4f eV/atom\n" "\n" msgstr "" #: ../energyforces.py:86 msgid "Forces:\n" msgstr "" #: ../execute.py:23 msgid "" "\n" " Global commands work on all frames or only on the current frame\n" " - Assignment of a global variable may not reference a local one\n" " - use 'Current frame' switch to switch off application to all frames\n" " e:\t\ttotal energy of one frame\n" " fmax:\tmaximal force in one frame\n" " A:\tunit cell\n" " E:\t\ttotal energy array of all frames\n" " F:\t\tall forces in one frame\n" " M:\tall magnetic moments\n" " R:\t\tall atomic positions\n" " S:\tall selected atoms (boolean array)\n" " D:\tall dynamic atoms (boolean array)\n" " examples: frame = 1, A[0][1] += 4, e-E[-1]\n" "\n" " Atom commands work on each atom (or a selection) individually\n" " - these can use global commands on the RHS of an equation\n" " - use 'selected atoms only' to restrict application of command\n" " x,y,z:\tatomic coordinates\n" " r,g,b:\tatom display color, range is [0..1]\n" " rad:\tatomic radius for display\n" " s:\t\tatom is selected\n" " d:\t\tatom is movable\n" " f:\t\tforce\n" " Z:\tatomic number\n" " m:\tmagnetic moment\n" " examples: x -= A[0][0], s = z > 5, Z = 6\n" "\n" " Special commands and objects:\n" " sa,cf:\t(un)restrict to selected atoms/current frame\n" " frame:\tframe number\n" " center:\tcenters the system in its existing unit cell\n" " del S:\tdelete selection\n" " CM:\tcenter of mass\n" " ans[-i]:\tith last calculated result\n" " exec file: executes commands listed in file\n" " cov[Z]:(read only): covalent radius of atomic number Z\n" " gui:\tadvanced: ag window python object\n" " img:\tadvanced: ag images object\n" " " msgstr "" #: ../execute.py:67 msgid "Expert user mode" msgstr "" #: ../execute.py:80 msgid "Welcome to the ASE Expert user mode" msgstr "" #: ../execute.py:87 msgid "Only selected atoms (sa) " msgstr "" #: ../execute.py:89 msgid "Only current frame (cf) " msgstr "" #: ../execute.py:99 msgid "" "Global: Use A, D, E, M, N, R, S, n, frame; Atoms: Use a, f, m, s, x, y, z, " "Z " msgstr "" #: ../execute.py:198 #, python-format msgid "*** WARNING: file does not exist - %s" msgstr "" #: ../execute.py:203 msgid "*** WARNING: No atoms selected to work with" msgstr "" #: ../execute.py:277 msgid "*** Only working on selected atoms" msgstr "" #: ../execute.py:279 msgid "*** Working on all atoms" msgstr "" #: ../execute.py:283 msgid "*** Only working on current image" msgstr "" #: ../execute.py:285 msgid "*** Working on all images" msgstr "" #: ../execute.py:301 msgid "Save Terminal text ..." msgstr "" #: ../graphene.py:15 msgid "" "Set up a graphene sheet or a graphene nanoribbon. A nanoribbon may\n" "optionally be saturated with hydrogen (or another element)." msgstr "" #: ../graphene.py:30 ../gui.py:298 msgid "Graphene" msgstr "" #. Choose structure #. The structure and lattice constant #. Choose the surface structure #: ../graphene.py:37 ../nanoparticle.py:138 ../surfaceslab.py:78 msgid "Structure: " msgstr "" #: ../graphene.py:39 msgid "Infinite sheet" msgstr "" #: ../graphene.py:39 msgid "Unsaturated ribbon" msgstr "" #: ../graphene.py:40 msgid "Saturated ribbon" msgstr "" #. Orientation #: ../graphene.py:47 msgid "Orientation: " msgstr "" #: ../graphene.py:50 msgid "zigzag" msgstr "" #: ../graphene.py:50 msgid "armchair" msgstr "" #: ../graphene.py:66 ../graphene.py:78 ../nanotube.py:46 msgid " Bond length: " msgstr "" #. Choose the saturation element and bond length #: ../graphene.py:72 msgid "Saturation: " msgstr "" #: ../graphene.py:75 msgid "H" msgstr "" #. Size #: ../graphene.py:91 msgid "Width: " msgstr "" #: ../graphene.py:92 ../nanotube.py:65 msgid " Length: " msgstr "" #. Vacuum #: ../graphene.py:100 msgid "Vacuum: " msgstr "" #: ../graphene.py:138 ../nanotube.py:96 ../setupwindow.py:32 msgid " No element specified!" msgstr "" #: ../graphene.py:231 ../nanoparticle.py:614 ../nanotube.py:140 #: ../pybutton.py:49 ../surfaceslab.py:249 msgid "You have not (yet) specified a consistent set of parameters." msgstr "" #: ../graphs.py:19 msgid "Help for plot ..." msgstr "" #: ../graphs.py:30 ../graphs.py:33 msgid "Plot" msgstr "" #: ../graphs.py:38 msgid "clear" msgstr "" #: ../graphs.py:92 msgid "Save data to file ... " msgstr "" #: ../gtkexcepthook.py:117 msgid "Bug Detected" msgstr "" #: ../gtkexcepthook.py:121 msgid "A programming error has been detected." msgstr "" #: ../gtkexcepthook.py:124 msgid "" "It probably isn't fatal, but the details should be reported to the " "developers nonetheless." msgstr "" #: ../gtkexcepthook.py:140 msgid "Report..." msgstr "" #: ../gtkexcepthook.py:144 msgid "Details..." msgstr "" #: ../gtkexcepthook.py:160 #, python-format msgid "" "From: buggy_application\"\n" "To: bad_programmer\n" "Subject: Exception feedback\n" "\n" "%s" msgstr "" #. Show details... #: ../gtkexcepthook.py:173 msgid "Bug Details" msgstr "" #: ../gui.py:164 msgid "_File" msgstr "" #: ../gui.py:165 msgid "_Edit" msgstr "" #: ../gui.py:166 msgid "_View" msgstr "" #: ../gui.py:167 msgid "_Tools" msgstr "" #. TRANSLATORS: Set up (i.e. build) surfaces, nanoparticles, ... #: ../gui.py:169 msgid "_Setup" msgstr "" #: ../gui.py:170 msgid "_Calculate" msgstr "" #: ../gui.py:171 msgid "_Help" msgstr "" #: ../gui.py:172 msgid "_Open" msgstr "" #: ../gui.py:173 msgid "Create a new file" msgstr "" #: ../gui.py:175 msgid "_New" msgstr "" #: ../gui.py:176 msgid "New ase.gui window" msgstr "" #: ../gui.py:178 msgid "_Save" msgstr "" #: ../gui.py:179 msgid "Save current file" msgstr "" #: ../gui.py:181 msgid "_Quit" msgstr "" #: ../gui.py:182 msgid "Quit" msgstr "" #: ../gui.py:184 msgid "Select _all" msgstr "" #: ../gui.py:187 msgid "_Invert selection" msgstr "" #: ../gui.py:190 msgid "Select _constrained atoms" msgstr "" #: ../gui.py:193 msgid "Select _immobile atoms" msgstr "" #: ../gui.py:196 msgid "_Copy" msgstr "" #: ../gui.py:197 msgid "Copy current selection and its orientation to clipboard" msgstr "" #: ../gui.py:199 msgid "_Paste" msgstr "" #: ../gui.py:200 msgid "Insert current clipboard selection" msgstr "" #: ../gui.py:202 msgid "_Modify" msgstr "" #: ../gui.py:203 msgid "Change tags, moments and atom types of the selected atoms" msgstr "" #: ../gui.py:205 msgid "_Add atoms" msgstr "" #: ../gui.py:206 msgid "Insert or import atoms and molecules" msgstr "" #: ../gui.py:208 msgid "_Delete selected atoms" msgstr "" #: ../gui.py:209 msgid "Delete the selected atoms" msgstr "" #: ../gui.py:211 msgid "_First image" msgstr "" #: ../gui.py:214 msgid "_Previous image" msgstr "" #: ../gui.py:217 msgid "_Next image" msgstr "" #: ../gui.py:220 msgid "_Last image" msgstr "" #: ../gui.py:223 msgid "Quick Info ..." msgstr "" #: ../gui.py:226 msgid "Repeat ..." msgstr "" #: ../gui.py:229 msgid "Rotate ..." msgstr "" #: ../gui.py:232 msgid "Colors ..." msgstr "" #. TRANSLATORS: verb #: ../gui.py:235 msgid "Focus" msgstr "" #: ../gui.py:238 msgid "Zoom in" msgstr "" #: ../gui.py:241 msgid "Zoom out" msgstr "" #: ../gui.py:244 msgid "Reset View" msgstr "" #: ../gui.py:247 msgid "Settings ..." msgstr "" #: ../gui.py:250 msgid "VMD" msgstr "" #: ../gui.py:253 msgid "RasMol" msgstr "" #: ../gui.py:256 msgid "xmakemol" msgstr "" #: ../gui.py:259 msgid "avogadro" msgstr "" #: ../gui.py:262 msgid "Graphs ..." msgstr "" #: ../gui.py:265 msgid "Movie ..." msgstr "" #: ../gui.py:268 msgid "Expert mode ..." msgstr "" #: ../gui.py:271 msgid "Constraints ..." msgstr "" #: ../gui.py:274 msgid "Render scene ..." msgstr "" #: ../gui.py:277 msgid "DFT ..." msgstr "" #: ../gui.py:280 msgid "NE_B" msgstr "" #: ../gui.py:283 msgid "B_ulk Modulus" msgstr "" #: ../gui.py:286 msgid "_Bulk Crystal" msgstr "" #: ../gui.py:287 msgid "Create a bulk crystal with arbitrary orientation" msgstr "" #: ../gui.py:289 msgid "_Surface slab" msgstr "" #: ../gui.py:290 msgid "Create the most common surfaces" msgstr "" #: ../gui.py:292 msgid "_Nanoparticle" msgstr "" #: ../gui.py:293 msgid "Create a crystalline nanoparticle" msgstr "" #: ../gui.py:295 msgid "Nano_tube" msgstr "" #: ../gui.py:296 msgid "Create a nanotube" msgstr "" #: ../gui.py:299 msgid "Create a graphene sheet or nanoribbon" msgstr "" #: ../gui.py:301 msgid "Set _Calculator" msgstr "" #: ../gui.py:302 msgid "Set a calculator used in all calculation modules" msgstr "" #: ../gui.py:304 msgid "_Energy and Forces" msgstr "" #: ../gui.py:305 msgid "Calculate energy and forces" msgstr "" #: ../gui.py:307 msgid "Energy _Minimization" msgstr "" #: ../gui.py:308 msgid "Minimize the energy" msgstr "" #: ../gui.py:310 msgid "Scale system" msgstr "" #: ../gui.py:311 msgid "Deform system by scaling it" msgstr "" #: ../gui.py:313 msgid "_About" msgstr "" #: ../gui.py:316 msgid "Webpage ..." msgstr "" #: ../gui.py:317 msgid "Debug ..." msgstr "" #: ../gui.py:319 msgid "Show _unit cell" msgstr "" #: ../gui.py:323 msgid "Show _axes" msgstr "" #: ../gui.py:327 msgid "Show _bonds" msgstr "" #: ../gui.py:331 msgid "_Move atoms" msgstr "" #: ../gui.py:335 msgid "_Rotate atoms" msgstr "" #: ../gui.py:339 msgid "Orien_t atoms" msgstr "" #: ../gui.py:351 #, python-format msgid "building menus failed: %s" msgstr "" #: ../gui.py:620 ../gui.py:1016 ../gui.py:1076 msgid "Open ..." msgstr "" #: ../gui.py:624 ../gui.py:1019 msgid "<>" msgstr "" #: ../gui.py:756 msgid "Add atoms" msgstr "" #: ../gui.py:759 msgid "Paste" msgstr "" #: ../gui.py:765 msgid "Insert atom or molecule" msgstr "" #: ../gui.py:766 ../gui.py:883 msgid "Tag" msgstr "" #: ../gui.py:767 ../gui.py:884 msgid "Moment" msgstr "" #: ../gui.py:768 msgid "Position" msgstr "" #: ../gui.py:793 msgid "_Load molecule" msgstr "" #: ../gui.py:797 ../gui.py:899 msgid "_OK" msgstr "" #: ../gui.py:801 ../gui.py:903 msgid "_Cancel" msgstr "" #: ../gui.py:876 msgid "Modify" msgstr "" #: ../gui.py:882 msgid "Atom" msgstr "" #: ../gui.py:927 msgid "Confirmation" msgstr "" #: ../gui.py:931 msgid "Delete selected atom?" msgid_plural "Delete selected atoms?" msgstr[0] "" msgstr[1] "" #: ../gui.py:938 msgid "Cancel" msgstr "" #: ../gui.py:1024 ../gui.py:1106 msgid "Automatic" msgstr "" #: ../gui.py:1025 msgid "Dacapo netCDF output file" msgstr "" #: ../gui.py:1026 msgid "Virtual Nano Lab file" msgstr "" #: ../gui.py:1027 msgid "ASE pickle trajectory" msgstr "" #: ../gui.py:1028 ../gui.py:1119 msgid "ASE bundle trajectory" msgstr "" #: ../gui.py:1029 msgid "GPAW text output" msgstr "" #: ../gui.py:1030 msgid "CUBE file" msgstr "" #: ../gui.py:1031 msgid "XCrySDen Structure File" msgstr "" #: ../gui.py:1032 msgid "Dacapo text output" msgstr "" #: ../gui.py:1033 msgid "XYZ-file" msgstr "" #: ../gui.py:1034 msgid "VASP POSCAR/CONTCAR file" msgstr "" #: ../gui.py:1035 msgid "VASP OUTCAR file" msgstr "" #: ../gui.py:1036 msgid "Protein Data Bank" msgstr "" #: ../gui.py:1037 msgid "CIF-file" msgstr "" #: ../gui.py:1038 msgid "FHI-aims geometry file" msgstr "" #: ../gui.py:1039 msgid "FHI-aims output file" msgstr "" #: ../gui.py:1040 msgid "TURBOMOLE coord file" msgstr "" #: ../gui.py:1041 msgid "exciting input" msgstr "" #: ../gui.py:1042 msgid "WIEN2k structure file" msgstr "" #: ../gui.py:1043 msgid "DftbPlus input file" msgstr "" #: ../gui.py:1044 msgid "ETSF format" msgstr "" #: ../gui.py:1045 ../gui.py:1117 msgid "CASTEP geom file" msgstr "" #: ../gui.py:1046 msgid "CASTEP output file" msgstr "" #: ../gui.py:1047 msgid "CASTEP trajectory file" msgstr "" #: ../gui.py:1048 msgid "DFTBPlus GEN format" msgstr "" #: ../gui.py:1054 msgid "File type:" msgstr "" #: ../gui.py:1094 msgid "Save ..." msgstr "" #: ../gui.py:1107 msgid "XYZ file" msgstr "" #: ../gui.py:1108 msgid "ASE trajectory" msgstr "" #: ../gui.py:1109 msgid "PDB file" msgstr "" #: ../gui.py:1110 msgid "Gaussian cube file" msgstr "" #: ../gui.py:1111 msgid "Python script" msgstr "" #: ../gui.py:1112 msgid "VNL file" msgstr "" #: ../gui.py:1113 msgid "Portable Network Graphics" msgstr "" #: ../gui.py:1114 msgid "Persistence of Vision" msgstr "" #: ../gui.py:1115 msgid "Encapsulated PostScript" msgstr "" #: ../gui.py:1116 msgid "FHI-aims geometry input" msgstr "" #: ../gui.py:1118 msgid "VASP geometry input" msgstr "" #: ../gui.py:1120 msgid "cif file" msgstr "" #: ../gui.py:1142 #, python-format msgid "Save current image only (#%d)" msgstr "" #: ../gui.py:1146 msgid "Slice: " msgstr "" #: ../gui.py:1147 msgid "Help for slice ..." msgstr "" #: ../gui.py:1159 msgid "AG INTERNAL ERROR: strange response in Save," msgstr "" #: ../gui.py:1178 msgid "Unknown output format!" msgstr "" #: ../gui.py:1179 #, python-format msgid "Use one of: %s" msgstr "" #: ../gui.py:1284 msgid "Not implemented!" msgstr "" #: ../gui.py:1285 msgid "do you really need it?" msgstr "" #: ../minimize.py:20 msgid "Algorithm: " msgstr "" #: ../minimize.py:25 ../progress.py:67 msgid "Convergence criterion: Fmax = " msgstr "" #: ../minimize.py:30 ../progress.py:70 msgid "Max. number of steps: " msgstr "" #. Special stuff for MDMin #: ../minimize.py:33 msgid "Pseudo time step: " msgstr "" #: ../minimize.py:54 msgid "Energy minimization" msgstr "" #: ../minimize.py:58 msgid "Minimize the energy with respect to the positions." msgstr "" #. Don't catch errors in the function. #. Display status message #: ../minimize.py:90 ../scaling.py:299 msgid "Running ..." msgstr "" #. Update display to reflect cancellation of simulation. #: ../minimize.py:107 #, python-format msgid "Minimization CANCELLED after %i steps." msgstr "" #: ../minimize.py:113 ../scaling.py:350 msgid "Out of memory, consider using LBFGS instead" msgstr "" #. Update display to reflect succesful end of simulation. #: ../minimize.py:120 #, python-format msgid "Minimization completed in %i steps." msgstr "" #. self.connect('delete_event', self.exit2) #: ../movie.py:14 msgid "Movie" msgstr "" #: ../movie.py:16 msgid "Image number:" msgstr "" #: ../movie.py:38 msgid "Play" msgstr "" #: ../movie.py:40 msgid "Stop" msgstr "" #. TRANSLATORS: This function plays an animation forwards and backwards #. alternatingly, e.g. for displaying vibrational movement #: ../movie.py:44 msgid "Rock" msgstr "" #: ../movie.py:60 msgid " Frame rate: " msgstr "" #: ../movie.py:61 msgid " Skip frames: " msgstr "" #: ../nanoparticle.py:19 msgid "" "Create a nanoparticle either by specifying the number of layers, or using " "the\n" "Wulff construction. Please press the [Help] button for instructions on how " "to\n" "specify the directions.\n" "WARNING: The Wulff construction currently only works with cubic crystals!\n" msgstr "" #: ../nanoparticle.py:26 msgid "" "\n" "The nanoparticle module sets up a nano-particle or a cluster with a given\n" "crystal structure.\n" "\n" "1) Select the element, the crystal structure and the lattice constant(s).\n" " The [Get structure] button will find the data for a given element.\n" "\n" "2) Choose if you want to specify the number of layers in each direction, or " "if\n" " you want to use the Wulff construction. In the latter case, you must " "specify\n" " surface energies in each direction, and the size of the cluster.\n" "\n" "How to specify the directions:\n" "------------------------------\n" "\n" "First time a direction appears, it is interpreted as the entire family of\n" "directions, i.e. (0,0,1) also covers (1,0,0), (-1,0,0) etc. If one of " "these\n" "directions is specified again, the second specification overrules that " "specific\n" "direction. For this reason, the order matters and you can rearrange the\n" "directions with the [Up] and [Down] keys. You can also add a new " "direction,\n" "remember to press [Add] or it will not be included.\n" "\n" "Example: (1,0,0) (1,1,1), (0,0,1) would specify the {100} family of " "directions,\n" "the {111} family and then the (001) direction, overruling the value given " "for\n" "the whole family of directions.\n" msgstr "" #. Structures: Abbreviation, name, 4-index (boolean), two lattice const (bool), factory #: ../nanoparticle.py:83 msgid "Face centered cubic (fcc)" msgstr "" #: ../nanoparticle.py:84 msgid "Body centered cubic (bcc)" msgstr "" #: ../nanoparticle.py:85 msgid "Simple cubic (sc)" msgstr "" #: ../nanoparticle.py:86 msgid "Hexagonal closed-packed (hcp)" msgstr "" #: ../nanoparticle.py:87 msgid "Graphite" msgstr "" #: ../nanoparticle.py:116 msgid "Nanoparticle" msgstr "" #. Choose the element #. Choose the element and bond length #. Choose the element #: ../nanoparticle.py:126 ../nanotube.py:40 ../surfaceslab.py:69 msgid "Element: " msgstr "" #: ../nanoparticle.py:130 msgid "Get structure" msgstr "" #: ../nanoparticle.py:154 msgid "Lattice constant: a =" msgstr "" #. Choose specification method #: ../nanoparticle.py:171 msgid "Method: " msgstr "" #: ../nanoparticle.py:173 msgid "Layer specification" msgstr "" #: ../nanoparticle.py:173 msgid "Wulff construction" msgstr "" #: ../nanoparticle.py:193 msgid "Dummy placeholder object" msgstr "" #: ../nanoparticle.py:195 msgid "Add new direction:" msgstr "" #: ../nanoparticle.py:211 msgid "Add" msgstr "" #: ../nanoparticle.py:219 msgid "Set all directions to default values" msgstr "" #: ../nanoparticle.py:227 msgid "Particle size: " msgstr "" #: ../nanoparticle.py:228 ../nanoparticle.py:265 ../progress.py:196 msgid "Number of atoms: " msgstr "" #: ../nanoparticle.py:233 msgid "Volume: " msgstr "" #: ../nanoparticle.py:238 msgid "ų" msgstr "" #: ../nanoparticle.py:243 msgid "Rounding: If exact size is not possible, choose the size" msgstr "" #: ../nanoparticle.py:246 msgid "above " msgstr "" #: ../nanoparticle.py:247 msgid "below " msgstr "" #: ../nanoparticle.py:248 msgid "closest " msgstr "" #: ../nanoparticle.py:251 msgid "Smaller" msgstr "" #: ../nanoparticle.py:252 msgid "Larger" msgstr "" #: ../nanoparticle.py:267 msgid " Approx. diameter: " msgstr "" #: ../nanoparticle.py:271 msgid "Information about the created cluster:" msgstr "" #. Buttons #: ../nanoparticle.py:277 ../nanotube.py:75 msgid "Creating a nanoparticle." msgstr "" #: ../nanoparticle.py:284 msgid "Automatic Apply" msgstr "" #: ../nanoparticle.py:332 msgid "Up" msgstr "" #: ../nanoparticle.py:337 msgid "Down" msgstr "" #: ../nanoparticle.py:342 msgid "Delete" msgstr "" #: ../nanoparticle.py:383 msgid "Surface energies (as energy/area, NOT per atom):" msgstr "" #: ../nanoparticle.py:389 msgid "Number of layers:" msgstr "" #: ../nanoparticle.py:418 msgid "At least one index must be non-zero" msgstr "" #: ../nanoparticle.py:421 msgid "Invalid hexagonal indices" msgstr "" #: ../nanoparticle.py:476 ../surfaceslab.py:218 msgid "Invalid element." msgstr "" #: ../nanoparticle.py:486 msgid "Unsupported or unknown structure" msgstr "" #: ../nanoparticle.py:603 #, python-format msgid "%.1f Ã…" msgstr "" #: ../nanotube.py:14 msgid "" "Set up a Carbon nanotube by specifying the (n,m) roll-up vector.\n" "Please note that m <= n.\n" "\n" "Nanotubes of other elements can be made by specifying the element\n" "and bond length." msgstr "" #: ../nanotube.py:33 msgid "Nanotube" msgstr "" #. Choose the structure. #: ../nanotube.py:57 msgid "Select roll-up vector (n,m) and tube length:" msgstr "" #: ../progress.py:25 msgid "Progress" msgstr "" #: ../progress.py:32 msgid "Scaling deformation:" msgstr "" #: ../progress.py:38 #, python-format msgid "Step number %s of %s." msgstr "" #. Minimization progress frame #. Box containing frame and spacing #: ../progress.py:53 msgid "Energy minimization:" msgstr "" #: ../progress.py:60 msgid "Step number: " msgstr "" #: ../progress.py:62 msgid "Fmax: " msgstr "" #: ../progress.py:102 msgid "unknown" msgstr "" #: ../progress.py:179 msgid "Status: " msgstr "" #: ../progress.py:181 msgid "Iteration: " msgstr "" #: ../progress.py:184 msgid "log10(change):" msgstr "" #: ../progress.py:187 msgid "Wave functions: " msgstr "" #: ../progress.py:189 msgid "Density: " msgstr "" #: ../progress.py:191 msgid "Energy: " msgstr "" #: ../progress.py:194 msgid "GPAW version: " msgstr "" #: ../progress.py:197 msgid "N/A" msgstr "" #: ../progress.py:198 msgid "Memory estimate: " msgstr "" #: ../progress.py:233 msgid "No info" msgstr "" #: ../progress.py:243 msgid "Initializing" msgstr "" #: ../progress.py:244 msgid "Positions:" msgstr "" #: ../progress.py:248 msgid "Starting calculation" msgstr "" #: ../progress.py:285 msgid "unchanged" msgstr "" #: ../progress.py:295 msgid "Self-consistency loop" msgstr "" #: ../progress.py:300 msgid "Calculating forces" msgstr "" #: ../progress.py:301 msgid " (converged)" msgstr "" #: ../pybutton.py:37 msgid "Python" msgstr "" #: ../pybutton.py:48 msgid "No Python code" msgstr "" #: ../pybutton.py:52 #, python-format msgid "" "\n" "Title: %(title)s\n" "Time: %(time)s\n" msgstr "" #: ../pybutton.py:61 msgid "ag: Python code" msgstr "" #: ../pybutton.py:65 msgid "Information:" msgstr "" #: ../pybutton.py:72 msgid "Python code:" msgstr "" #: ../quickinfo.py:9 msgid "Single image loaded." msgstr "" #: ../quickinfo.py:10 #, python-format msgid "Image %d loaded (0 - %d)." msgstr "" #: ../quickinfo.py:11 msgid "Unit cell is fixed." msgstr "" #: ../quickinfo.py:12 msgid "Unit cell varies." msgstr "" #: ../quickinfo.py:14 #, python-format msgid "" "%s\n" "\n" "Number of atoms: %d.\n" "\n" "Unit cell:\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" " %8.3f %8.3f %8.3f\n" "%s\n" msgstr "" #: ../quickinfo.py:29 msgid "Quick Info" msgstr "" #: ../quickinfo.py:33 msgid "No atoms loaded." msgstr "" #: ../render.py:14 msgid "" " Textures can be used to highlight different parts of\n" " an atomic structure. This window applies the default\n" " texture to the entire structure and optionally\n" " applies a different texture to subsets of atoms that\n" " can be selected using the mouse.\n" " An alternative selection method is based on a boolean\n" " expression in the entry box provided, using the\n" " variables x, y, z, or Z. For example, the expression\n" " Z == 11 and x > 10 and y > 10 \n" " will mark all sodium atoms with x or coordinates \n" " larger than 10. In either case, the button labeled\n" " `Create new texture from selection` will enable\n" " to change the attributes of the current selection. \n" " " msgstr "" #: ../render.py:32 msgid "Render current view in povray ... " msgstr "" #: ../render.py:36 #, python-format msgid "Rendering %d atoms." msgstr "" #: ../render.py:41 msgid "Render constraints" msgstr "" #: ../render.py:44 msgid "Width" msgstr "" #: ../render.py:45 msgid " Height" msgstr "" #: ../render.py:52 msgid "Render unit cell" msgstr "" #: ../render.py:61 msgid "Line width" msgstr "" #: ../render.py:63 msgid "Angstrom " msgstr "" #: ../render.py:73 msgid "Set" msgstr "" #: ../render.py:75 msgid "Output basename: " msgstr "" #: ../render.py:77 msgid " Filename: " msgstr "" #: ../render.py:88 msgid " Default texture for atoms: " msgstr "" #: ../render.py:89 msgid " transparency: " msgstr "" #: ../render.py:90 msgid "Define atom selection for new texture:" msgstr "" #: ../render.py:92 msgid "Select" msgstr "" #: ../render.py:96 msgid "Create new texture from selection" msgstr "" #: ../render.py:98 msgid "Help on textures" msgstr "" #: ../render.py:111 msgid "Camera type: " msgstr "" #: ../render.py:112 msgid " Camera distance" msgstr "" #: ../render.py:113 msgid "Render current frame" msgstr "" #: ../render.py:117 #, python-format msgid "Render all %d frames" msgstr "" #: ../render.py:122 msgid "Transparent background" msgstr "" #: ../render.py:125 msgid "Run povray " msgstr "" #: ../render.py:128 msgid "Keep povray files " msgstr "" #: ../render.py:131 msgid "Show output window" msgstr "" #: ../render.py:212 msgid " transparency: " msgstr "" #: ../render.py:218 msgid "" "Can not create new texture! Must have some atoms selected to create a new " "material!" msgstr "" #: ../repeat.py:14 msgid "Repeat" msgstr "" #: ../repeat.py:21 msgid "Set unit cell" msgstr "" #: ../rotate.py:15 msgid "Rotate" msgstr "" #: ../rotate.py:17 msgid "Rotation angles:" msgstr "" #: ../rotate.py:27 msgid "" "Note:\n" "You can rotate freely\n" "with the mouse, by holding\n" "down mouse button 2." msgstr "" #: ../scaling.py:49 msgid "Homogeneous scaling" msgstr "" #: ../scaling.py:59 msgid "3D deformation " msgstr "" #: ../scaling.py:60 msgid "2D deformation " msgstr "" #: ../scaling.py:61 msgid "1D deformation " msgstr "" #: ../scaling.py:64 msgid "Bulk" msgstr "" #: ../scaling.py:66 msgid "xy-plane" msgstr "" #: ../scaling.py:68 msgid "xz-plane" msgstr "" #: ../scaling.py:70 msgid "yz-plane" msgstr "" #: ../scaling.py:72 msgid "x-axis" msgstr "" #: ../scaling.py:74 msgid "y-axis" msgstr "" #: ../scaling.py:76 msgid "z-axis" msgstr "" #: ../scaling.py:89 msgid "Allow deformation along non-periodic directions." msgstr "" #. Parameters for the deformation #: ../scaling.py:94 msgid "Deformation:" msgstr "" #: ../scaling.py:100 msgid "Maximal scale factor: " msgstr "" #: ../scaling.py:103 msgid "Scale offset: " msgstr "" #: ../scaling.py:106 msgid "Number of steps: " msgstr "" #: ../scaling.py:107 msgid "Only positive deformation" msgstr "" #. Atomic relaxations #: ../scaling.py:112 msgid "Atomic relaxations:" msgstr "" #: ../scaling.py:116 msgid "On " msgstr "" #: ../scaling.py:117 msgid "Off" msgstr "" #. Results #: ../scaling.py:128 msgid "Results:" msgstr "" #: ../scaling.py:130 msgid "Keep original configuration" msgstr "" #: ../scaling.py:132 msgid "Load optimal configuration" msgstr "" #: ../scaling.py:134 msgid "Load all configurations" msgstr "" #: ../scaling.py:143 msgid "Strain\t\tEnergy [eV]" msgstr "" #: ../scaling.py:144 msgid "Fit:" msgstr "" #: ../scaling.py:148 msgid "2nd" msgstr "" #: ../scaling.py:149 msgid "3rd" msgstr "" #: ../scaling.py:153 msgid "Order of fit: " msgstr "" #. Update display to reflect cancellation of simulation. #: ../scaling.py:346 msgid "Calculation CANCELLED." msgstr "" #. Update display to reflect succesful end of simulation. #: ../scaling.py:357 msgid "Calculation completed." msgstr "" #: ../scaling.py:380 msgid "No trustworthy minimum: Old configuration kept." msgstr "" #: ../scaling.py:420 #, python-format msgid "" "Insufficent data for a fit\n" "(only %i data points)\n" msgstr "" #: ../scaling.py:424 msgid "" "REVERTING TO 2ND ORDER FIT\n" "(only 3 data points)\n" "\n" msgstr "" #: ../scaling.py:440 msgid "No minimum found!" msgstr "" #: ../scaling.py:454 msgid "" "\n" "WARNING: Minimum is outside interval\n" msgstr "" #: ../scaling.py:455 msgid "It is UNRELIABLE!\n" msgstr "" #: ../settings.py:16 msgid "Constraints:" msgstr "" #: ../settings.py:19 msgid "release" msgstr "" #: ../settings.py:23 msgid "Constrain immobile atoms" msgstr "" #: ../settings.py:25 msgid "Clear all constraints" msgstr "" #: ../settings.py:31 msgid "Visibility:" msgstr "" #: ../settings.py:32 msgid "Hide" msgstr "" #: ../settings.py:34 msgid "show" msgstr "" #: ../settings.py:38 msgid "View all atoms" msgstr "" #: ../settings.py:44 msgid "Miscellaneous:" msgstr "" #: ../settings.py:47 msgid "Scale atomic radii:" msgstr "" #. A close button #: ../settings.py:52 msgid "\n" msgstr "" #: ../setupwindow.py:51 msgid "No crystal structure data" msgstr "" #: ../setupwindow.py:62 msgid " ERROR: Invalid element!" msgstr "" #: ../simulation.py:24 msgid " (rerun simulation)" msgstr "" #: ../simulation.py:25 msgid " (continue simulation)" msgstr "" #: ../simulation.py:27 msgid "Select starting configuration:" msgstr "" #: ../simulation.py:32 #, python-format msgid "There are currently %i configurations loaded." msgstr "" #: ../simulation.py:36 msgid "Choose which one to use as the initial configuration" msgstr "" #: ../simulation.py:40 #, python-format msgid "The first configuration %s." msgstr "" #: ../simulation.py:43 msgid "Configuration number " msgstr "" #: ../simulation.py:49 #, python-format msgid "The last configuration %s." msgstr "" #: ../simulation.py:85 msgid "Run" msgstr "" #: ../simulation.py:105 msgid "No calculator: Use Calculate/Set Calculator on the menu." msgstr "" #: ../status.py:37 ../status.py:39 msgid "Tip for status box ..." msgstr "" #. TRANSLATORS: mom refers to magnetic moment #: ../status.py:63 #, python-format msgid " tag=%(tag)s mom=%(mom)1.2f" msgstr "" #: ../status.py:104 msgid "dihedral" msgstr "" #: ../surfaceslab.py:14 msgid "" " Use this dialog to create surface slabs. Select the element by\n" "writing the chemical symbol or the atomic number in the box. Then\n" "select the desired surface structure. Note that some structures can\n" "be created with an othogonal or a non-orthogonal unit cell, in these\n" "cases the non-orthogonal unit cell will contain fewer atoms.\n" "\n" " If the structure matches the experimental crystal structure, you can\n" "look up the lattice constant, otherwise you have to specify it\n" "yourself." msgstr "" #. Name, structure, orthogonal, support-nonorthogonal, function #: ../surfaceslab.py:26 msgid "FCC(100)" msgstr "" #: ../surfaceslab.py:26 ../surfaceslab.py:27 ../surfaceslab.py:28 #: ../surfaceslab.py:30 msgid "fcc" msgstr "" #: ../surfaceslab.py:27 msgid "FCC(110)" msgstr "" #: ../surfaceslab.py:28 msgid "FCC(111) non-orthogonal" msgstr "" #: ../surfaceslab.py:30 msgid "FCC(111) orthogonal" msgstr "" #: ../surfaceslab.py:31 msgid "BCC(100)" msgstr "" #: ../surfaceslab.py:31 ../surfaceslab.py:32 ../surfaceslab.py:34 #: ../surfaceslab.py:35 ../surfaceslab.py:37 msgid "bcc" msgstr "" #: ../surfaceslab.py:32 msgid "BCC(110) non-orthogonal" msgstr "" #: ../surfaceslab.py:34 msgid "BCC(110) orthogonal" msgstr "" #: ../surfaceslab.py:35 msgid "BCC(111) non-orthogonal" msgstr "" #: ../surfaceslab.py:37 msgid "BCC(111) orthogonal" msgstr "" #: ../surfaceslab.py:38 msgid "HCP(0001) non-orthogonal" msgstr "" #: ../surfaceslab.py:38 ../surfaceslab.py:40 ../surfaceslab.py:41 msgid "hcp" msgstr "" #: ../surfaceslab.py:40 msgid "HCP(0001) orthogonal" msgstr "" #: ../surfaceslab.py:41 msgid "HCP(10-10) orthogonal" msgstr "" #: ../surfaceslab.py:43 msgid "DIAMOND(100) orthogonal" msgstr "" #: ../surfaceslab.py:43 ../surfaceslab.py:45 msgid "diamond" msgstr "" #: ../surfaceslab.py:45 msgid "DIAMOND(111) non-orthogonal" msgstr "" #: ../surfaceslab.py:60 msgid "Surface" msgstr "" #: ../surfaceslab.py:90 msgid "Lattice constant: " msgstr "" #: ../surfaceslab.py:97 msgid "a:" msgstr "" #: ../surfaceslab.py:109 #, python-format msgid "(%.1f %% of ideal)" msgstr "" #: ../surfaceslab.py:126 msgid "Size: \tx: " msgstr "" #: ../surfaceslab.py:128 msgid "\t\ty: " msgstr "" #: ../surfaceslab.py:130 msgid " \t\tz: " msgstr "" #: ../surfaceslab.py:131 msgid " layers, " msgstr "" #: ../surfaceslab.py:132 msgid " Ã… vacuum" msgstr "" #: ../surfaceslab.py:133 msgid "\t\tNo size information yet." msgstr "" #. Buttons #: ../surfaceslab.py:142 msgid "Creating a surface slab." msgstr "" #: ../surfaceslab.py:212 #, python-format msgid "%i atoms." msgstr "" #: ../surfaceslab.py:224 msgid "No structure specified!" msgstr "" #: ../surfaceslab.py:233 #, python-format msgid "%(struct)s lattice constant unknown for %(element)s." msgstr "" #: ../widgets.py:53 ../widgets.py:80 msgid "Help" msgstr "" #: ../widgets.py:97 msgid "Clear constraint" msgstr "" python-ase-3.6.0.2515/ase/gui/render.py0000644000175400017540000003650211706276516016406 0ustar askhlaskhl#!/usr/bin/env python import gtk from gettext import gettext as _ from ase.gui.widgets import pack, Help, oops from ase.io.pov import write_pov from ase.gui.status import formula from os.path import basename from os import system import numpy as np class Render(gtk.Window): finish_list = ['ase2','ase3','glass','simple','pale','intermediate','vmd','jmol'] cameras = ['orthographic','perspective','ultra_wide_angle'] selection_info_txt = _("""\ Textures can be used to highlight different parts of an atomic structure. This window applies the default texture to the entire structure and optionally applies a different texture to subsets of atoms that can be selected using the mouse. An alternative selection method is based on a boolean expression in the entry box provided, using the variables x, y, z, or Z. For example, the expression Z == 11 and x > 10 and y > 10 will mark all sodium atoms with x or coordinates larger than 10. In either case, the button labeled `Create new texture from selection` will enable to change the attributes of the current selection. """) def __init__(self, gui): self.gui = gui gtk.Window.__init__(self) self.set_title(_('Render current view in povray ... ')) vbox = gtk.VBox() vbox.set_border_width(5) self.natoms = self.gui.images.natoms pack(vbox, [gtk.Label(_("Rendering %d atoms.") % self.natoms)]) self.size = [gtk.Adjustment(self.gui.width, 1, 9999, 50), gtk.Adjustment(self.gui.height, 1, 9999, 50)] self.width = gtk.SpinButton(self.size[0], 0, 0) self.height = gtk.SpinButton(self.size[1], 0, 0) self.render_constraints = gtk.CheckButton(_("Render constraints")) self.render_constraints.set_sensitive(not self.gui.images.dynamic.all()) self.render_constraints.connect("toggled",self.toggle_render_lines) pack(vbox, [gtk.Label(_("Width")), self.width, gtk.Label(_(" Height")), self.height, gtk.Label(" "),self.render_constraints]) self.width.connect('value-changed',self.change_width,"") self.height.connect('value-changed',self.change_height,"") self.sizeratio = gui.width/float(gui.height) self.line_width = gtk.SpinButton(gtk.Adjustment(0.07,0.01,9.99,0.01), 0, 0) self.line_width.set_digits(3) self.render_cell = gtk.CheckButton(_("Render unit cell")) if self.gui.ui.get_widget('/MenuBar/ViewMenu/ShowUnitCell').get_active(): self.render_cell.set_active(True) else: self.render_cell.set_active(False) self.render_cell.set_sensitive(False) self.render_cell.connect("toggled",self.toggle_render_lines) have_lines = (not self.gui.images.dynamic.all()) or self.render_cell.get_active() self.line_width.set_sensitive(have_lines) pack(vbox, [gtk.Label(_("Line width")), self.line_width, gtk.Label(_("Angstrom ")), self.render_cell]) pack(vbox, [gtk.Label("")]) filename = gui.window.get_title() len_suffix = len(filename.split('.')[-1])+1 if len(filename) > len_suffix: filename = filename[:-len_suffix] self.basename = gtk.Entry(max = 30) self.basename.connect("activate",self.set_outputname,"") self.basename.set_text(basename(filename)) set_name = gtk.Button(_("Set")) set_name.connect("clicked",self.set_outputname,"") pack(vbox,[gtk.Label(_("Output basename: ")), self.basename,set_name]) self.outputname = gtk.Label("") pack(vbox,[gtk.Label(_(" Filename: ")),self.outputname]) pack(vbox,[gtk.Label("")]) self.tbox = gtk.VBox() self.tbox.set_border_width(10) self.default_texture = gtk.combo_box_new_text() for t in self.finish_list: self.default_texture.append_text(t) self.default_texture.set_active(1) self.default_transparency = gtk.Adjustment(0,0.0,1.0,0.01) self.transparency = gtk.SpinButton(self.default_transparency, 0, 0) self.transparency.set_digits(2) pack(self.tbox,[gtk.Label(_(" Default texture for atoms: ")), self.default_texture, gtk.Label(_(" transparency: ")),self.transparency]) pack(self.tbox,[gtk.Label(_("Define atom selection for new texture:"))]) self.texture_selection = gtk.Entry(max = 50) self.texture_select_but = gtk.Button(_("Select")) self.texture_selection.connect("activate",self.select_texture,"") self.texture_select_but.connect("clicked",self.select_texture,"") pack(self.tbox,[self.texture_selection, self.texture_select_but]) self.create_texture = gtk.Button(_("Create new texture from selection")) self.create_texture.connect("clicked",self.material_from_selection,"") self.selection_help_but = gtk.Button(_("Help on textures")) self.selection_help_but.connect("clicked",self.selection_help,"") self.materials = [] pack(self.tbox,[self.create_texture, gtk.Label(" "), self.selection_help_but]) pack(vbox,[self.tbox]) pack(vbox,[gtk.Label("")]) self.camera_style = gtk.combo_box_new_text() for c in self.cameras: self.camera_style.append_text(c) self.camera_style.set_active(0) self.camera_distance = gtk.SpinButton(gtk.Adjustment(50.0,-99.0,99.0,1.0), 0, 0) self.camera_distance.set_digits(1) pack(vbox,[gtk.Label(_("Camera type: ")),self.camera_style, gtk.Label(_(" Camera distance")),self.camera_distance]) self.single_frame = gtk.RadioButton(None,_("Render current frame")) self.nimages = self.gui.images.nimages self.iframe = self.gui.frame self.movie = gtk.RadioButton(self.single_frame, _("Render all %d frames") % self.nimages) self.movie.connect("toggled",self.set_movie) self.movie.set_sensitive(self.nimages > 1) self.set_outputname() pack(vbox,[self.single_frame,gtk.Label(" "),self.movie]) self.transparent = gtk.CheckButton(_("Transparent background")) self.transparent.set_active(True) pack(vbox,[self.transparent]) self.run_povray = gtk.CheckButton(_("Run povray ")) self.run_povray.set_active(True) self.run_povray.connect("toggled",self.toggle_run_povray,"") self.keep_files = gtk.CheckButton(_("Keep povray files ")) self.keep_files.set_active(False) self.keep_files_status = True self.window_open = gtk.CheckButton(_("Show output window")) self.window_open.set_active(True) self.window_open_status = True pack(vbox,[self.run_povray,self.keep_files,self.window_open]) pack(vbox,[gtk.Label("")]) cancel_but = gtk.Button(stock=gtk.STOCK_CANCEL) cancel_but.connect('clicked', lambda widget: self.destroy()) ok_but = gtk.Button(stock=gtk.STOCK_OK) ok_but.connect('clicked', self.ok) close_but = gtk.Button(stock=gtk.STOCK_CLOSE) close_but.connect('clicked', lambda widget: self.destroy()) butbox = gtk.HButtonBox() butbox.pack_start(cancel_but, 0, 0) butbox.pack_start(ok_but, 0, 0) butbox.pack_start(close_but, 0, 0) butbox.show_all() pack(vbox, [butbox], end=True, bottom=True) self.add(vbox) vbox.show() self.show() def change_width(self, *args): self.height.set_value(self.width.get_value()*self.gui.height/float(self.gui.width)) def change_height(self, *args): self.width.set_value(self.height.get_value()*self.gui.width/float(self.gui.height)) def toggle_render_lines(self, *args): self.line_width.set_sensitive(self.render_cell.get_active() or self.render_constraints.get_active()) def set_outputname(self, *args): movie_index = '' self.iframe = self.gui.frame if self.movie.get_active(): while len(movie_index) + len(str(self.iframe)) < len(str(self.nimages)): movie_index += '0' movie_index = '.' + movie_index + str(self.iframe) name = self.basename.get_text() + movie_index + '.pov' self.outputname.set_text(name) def get_selection(self): selection = np.zeros(self.natoms, bool) text = self.texture_selection.get_text() if len(self.texture_selection.get_text()) == 0: text = 'False' code = compile(text,'render.py', 'eval') for n in range(self.natoms): Z = self.gui.images.Z[n] x, y, z = self.gui.images.P[self.iframe][n] selection[n] = eval(code) return selection def select_texture(self,*args): self.iframe = self.gui.frame self.gui.images.selected = self.get_selection() self.gui.set_frame(self.iframe) def material_from_selection(self,*args): box_selection = self.get_selection() selection = self.gui.images.selected.copy() if selection.any(): Z = [] for n in range(len(selection)): if selection[n]: Z += [self.gui.images.Z[n]] name = formula(Z) if (box_selection == selection).all(): name += ': ' + self.texture_selection.get_text() texture_button = gtk.combo_box_new_text() for t in self.finish_list: texture_button.append_text(t) texture_button.set_active(1) transparency = gtk.Adjustment(0,0.0,1.0,0.01) transparency_spin = gtk.SpinButton(transparency, 0, 0) transparency_spin.set_digits(2) delete_button = gtk.Button(stock=gtk.STOCK_DELETE) alignment = delete_button.get_children()[0] index = len(self.materials) delete_button.connect("clicked",self.delete_material,{"n":index}) self.materials += [[True,selection,texture_button, gtk.Label(_(" transparency: ")),transparency_spin, gtk.Label(" "),delete_button,gtk.Label()]] self.materials[-1][-1].set_markup(" "+name) pack(self.tbox,[self.materials[-1][2],self.materials[-1][3],self.materials[-1][4], self.materials[-1][5],self.materials[-1][6],self.materials[-1][7]]) else: oops(_("Can not create new texture! Must have some atoms selected to create a new material!")) def delete_material(self, button, index, *args): n = index["n"] self.materials[n][0] = False self.materials[n][1] = np.zeros(self.natoms, bool) self.materials[n][2].destroy() self.materials[n][3].destroy() self.materials[n][4].destroy() self.materials[n][5].destroy() self.materials[n][6].destroy() self.materials[n][7].destroy() def set_movie(self, *args): if self.single_frame.get_active() and self.run_povray.get_active(): self.window_open.set_active(self.window_open_status) self.window_open.set_sensitive(True) else: if self.run_povray.get_active(): self.window_open_status = self.window_open.get_active() self.window_open.set_active(False) self.window_open.set_sensitive(False) self.set_outputname() def toggle_run_povray(self, *args): if self.run_povray.get_active(): self.keep_files.set_active(self.keep_files_status) self.keep_files.set_sensitive(True) if self.single_frame.get_active(): self.window_open.set_active(self.window_open_status) self.window_open.set_sensitive(True) else: self.keep_files_status = self.keep_files.get_active() self.keep_files.set_active(True) self.keep_files.set_sensitive(False) if self.single_frame.get_active(): self.window_open_status = self.window_open.get_active() self.window_open.set_active(False) self.window_open.set_sensitive(False) def selection_help(self,*args): Help(self.selection_info_txt) def set_textures(self): textures = self.natoms*[self.finish_list[self.default_texture.get_active()]] for mat in self.materials: sel = mat[1] t = self.finish_list[mat[2].get_active()] if mat[0]: for n, val in enumerate(sel): if val: textures[n] = t return textures def get_colors(self): colors = self.gui.get_colors(rgb = True) for n in range(self.natoms): colors[n] = list(colors[n]) + [0,self.default_transparency.value] for mat in self.materials: sel = mat[1] trans = mat[4].get_value() for n, val in enumerate(sel): if val: colors[n][4] = trans return colors def ok(self, *args): print "Rendering povray image(s): " scale = self.gui.scale*self.height.get_value()/self.gui.height bbox = np.empty(4) size = np.array([self.width.get_value(), self.height.get_value()]) / scale bbox[0:2] = np.dot(self.gui.center, self.gui.axes[:, :2]) - size / 2 bbox[2:] = bbox[:2] + size povray_settings = {'run_povray' : self.run_povray.get_active(), 'bbox' : bbox, 'rotation' : self.gui.axes, 'show_unit_cell' : self.render_cell.get_active(), 'display' : self.window_open.get_active(), 'transparent' : self.transparent.get_active(), 'camera_type' : self.cameras[self.camera_style.get_active()], 'camera_dist' : self.camera_distance.get_value(), 'canvas_width' : self.width.get_value(), 'celllinewidth' : self.line_width.get_value(), 'textures' : self.set_textures(), 'exportconstraints' : self.render_constraints.get_active()} if self.single_frame.get_active(): frames = [self.gui.frame] else: frames = range(self.nimages) initial_frame = self.gui.frame for frame in frames: self.gui.set_frame(frame) povray_settings['colors'] = self.get_colors() atoms = self.gui.images.get_atoms(frame) self.set_outputname() filename = self.outputname.get_text() print " | Writing files for image", filename, "..." write_pov(filename, atoms, radii = self.gui.images.r, **povray_settings) if not self.keep_files.get_active(): print " | Deleting temporary file ", filename system("rm "+filename) filename = filename[:-4] + '.ini' print " | Deleting temporary file ", filename system("rm "+filename) self.gui.set_frame(initial_frame) self.set_outputname() python-ase-3.6.0.2515/ase/gui/graphs.py0000644000175400017540000000723111706276516016410 0ustar askhlaskhl#!/usr/bin/env python from math import sqrt import gtk from gettext import gettext as _ from ase.gui.widgets import pack, help class Graphs(gtk.Window): def __init__(self, gui): gtk.Window.__init__(self) #self.window.set_position(gtk.WIN_POS_CENTER) #self.window.connect("destroy", lambda w: gtk.main_quit()) #self.window.connect('delete_event', self.exit) self.set_title('Graphs') vbox = gtk.VBox() self.expr = pack(vbox, [gtk.Entry(64), help(_('Help for plot ...'))])[0] self.expr.connect('activate', self.plot) completion = gtk.EntryCompletion() self.liststore = gtk.ListStore(str) for s in ['fmax', 's, e-E[0]', 'i, d(0,1)']: self.liststore.append([s]) completion.set_model(self.liststore) self.expr.set_completion(completion) completion.set_text_column(0) button = pack(vbox, [gtk.Button(_('Plot')), gtk.Label(' x, y1, y2, ...')])[0] button.connect('clicked', self.plot, 'xy') button = pack(vbox, [gtk.Button(_('Plot')), gtk.Label(' y1, y2, ...')])[0] button.connect('clicked', self.plot, 'y') save_button = gtk.Button(stock=gtk.STOCK_SAVE) save_button.connect('clicked',self.save) clear_button = gtk.Button(_('clear')) clear_button.connect('clicked', self.clear) pack(vbox, [save_button,clear_button]) self.add(vbox) vbox.show() self.show() self.gui = gui def plot(self, button=None, type=None, expr=None): if expr is None: expr = self.expr.get_text() else: self.expr.set_text(expr) if expr not in [row[0] for row in self.liststore]: self.liststore.append([expr]) data = self.gui.images.graph(expr) import matplotlib matplotlib.interactive(True) matplotlib.use('GTK') #matplotlib.use('GTK', warn=False)# Not avail. in 0.91 (it is in 0.98) import pylab pylab.ion() x = 2.5 self.gui.graphs.append(pylab.figure(figsize=(x * 2.5**0.5, x))) i = self.gui.frame m = len(data) if type is None: if m == 1: type = 'y' else: type = 'xy' if type == 'y': for j in range(m): pylab.plot(data[j]) pylab.plot([i], [data[j, i]], 'o') else: for j in range(1, m): pylab.plot(data[0], data[j]) pylab.plot([data[0, i]], [data[j, i]], 'o') pylab.title(expr) #pylab.show() python = plot def save(self, filename): chooser = gtk.FileChooserDialog( _('Save data to file ... '), None, gtk.FILE_CHOOSER_ACTION_SAVE, (gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_SAVE, gtk.RESPONSE_OK)) save = chooser.run() if save == gtk.RESPONSE_OK: filename = chooser.get_filename() expr = self.expr.get_text() data = self.gui.images.graph(expr) expr = '# '+expr fd = open(filename,'w') fd.write("%s \n" % (expr)) for s in range(len(data[0])): for i in range(len(data)): val = data[i,s] fd.write("%12.8e\t" % (val)) fd.write("\n") fd.close() chooser.destroy() def clear(self, button): import pylab for graph in self.gui.graphs: pylab.close(graph) self.gui.graphs = [] python-ase-3.6.0.2515/ase/gui/languages/0000755000175400017540000000000011757245036016514 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/gui/languages/__init__.py0000644000175400017540000000131710713161602020612 0ustar askhlaskhlimport locale from ase.gui.languages.en import translation as default_translation def translate(text): return default_translation.get(text, text) language_code = locale.getdefaultlocale()[0] if language_code is None: language_code = 'en' else: language_code = language_code[:2] if language_code != 'en': try: module = __import__(language_code, globals(), locals()) except ImportError: pass else: translation = module.translation def translate(text): translated_text = translation.get(text) if translated_text is None: return default_translation.get(text, text) else: return translated_text python-ase-3.6.0.2515/ase/gui/languages/en.py0000644000175400017540000000236611672656022017474 0ustar askhlaskhltranslation = { 'Tip for status box ...': """Show information about selected atoms (type, position, bondlengths and angles). Use left mouse button to select atoms - possibly combined with the [ctrl] key.""", 'Help for plot ...': """Symbols: e:\t\t\ttotal energy epot:\t\tpotential energy ekin:\t\tkinetic energy fmax:\t\tmaximum force fave:\t\taverage force R[n,0-2]:\t\tposition of atom number n d(n1,n2):\t\tdistance between two atoms n1 and n2 i:\t\t\tcurrent image number E[i]:\t\t\tenergy of image number i F[n,0-2]:\t\tforce on atom number n V[n,0-2]:\t\tvelocity of atom number n M[n]:\t\tmagnetic moment of atom number n A[0-2,0-2]:\tunit-cell basis vectors s:\t\t\tpath length a(n1,n2,n3):\tangle between atoms n1, n2 and n3, centered on n2 dih(n1,n2,n3,n4):\tdihedral angle between n1, n2, n3, and n4 T:\t\t\tTemperature (K)""", 'Help for slice ...': """Use Python slice syntax: "start:stop:step" or "start:stop": 2:5\tsecond, third and fourth :3\tfirst three -3:\tlast three ::3\tevery third 0\tfirst 6\tseventh -1\tlast """ } python-ase-3.6.0.2515/ase/gui/languages/da.py0000644000175400017540000000227711672656022017457 0ustar askhlaskhl# -*- coding: utf-8 -*- """Danish translation.""" translation = { 'Select': u'Vælg', 'Invert selection': 'Inverter valg', 'Select all': u'Vælg alle', 'View': 'Vis', 'Focus': u'Fokusér', 'Settings': 'Indstillinger', 'Plugins': 'Indstik', 'Help': u'Hjælp', 'Edit': u'Redigér', 'File': 'Fil', 'Exit': 'Afslut', 'Open': u'Ã…ben', 'Play': 'Afspil', 'Adjust play time.': 'Indstil afspilningstid', 'Image number:': 'Billede nummer:', 'Tip for status box ...': """Vis informationer om valgte atomer (type, position, bindingslængder og vinkler) ved at vælge atomer med musen (venstre knap) evt. i kombination med [ctrl] tasten""", 'Help for plot ...': u"""Symboler: e:\t\ttotal energi epot:\tpotentiel energi ekin:\tkinetisk energi fmax:\tmaximum kræft fave:\tmiddel kræft R[n,0-2]:\tposition af atom nummer n d(n1,n1):\tafstand mellem to atomer i:\t\tnuværende billede nummer E[i]:\t\tenergi af billede nummer i F[n,0-2]:\tkræft pÃ¥ atom nummer n V[n,0-2]:\thastighed af atom nummer n A[0-2,0-2]:\tEnhedscelle vektorer s:\t\tvejlængde""", 'Slice: ': 'Udsnit: ' } python-ase-3.6.0.2515/ase/gui/nanoparticle.py0000644000175400017540000006250011706276516017603 0ustar askhlaskhl# encoding: utf-8 """nanoparticle.py - Window for setting up crystalline nanoparticles. """ import gtk from gettext import gettext as _ from copy import copy from ase.gui.widgets import pack, cancel_apply_ok, oops, help from ase.gui.setupwindow import SetupWindow from ase.gui.pybutton import PyButton import ase import numpy as np # Delayed imports: # ase.cluster.data from ase.cluster.cubic import FaceCenteredCubic, BodyCenteredCubic, SimpleCubic from ase.cluster.hexagonal import HexagonalClosedPacked, Graphite from ase.cluster import wulff_construction introtext = _("""\ Create a nanoparticle either by specifying the number of layers, or using the Wulff construction. Please press the [Help] button for instructions on how to specify the directions. WARNING: The Wulff construction currently only works with cubic crystals! """) helptext = _(""" The nanoparticle module sets up a nano-particle or a cluster with a given crystal structure. 1) Select the element, the crystal structure and the lattice constant(s). The [Get structure] button will find the data for a given element. 2) Choose if you want to specify the number of layers in each direction, or if you want to use the Wulff construction. In the latter case, you must specify surface energies in each direction, and the size of the cluster. How to specify the directions: ------------------------------ First time a direction appears, it is interpreted as the entire family of directions, i.e. (0,0,1) also covers (1,0,0), (-1,0,0) etc. If one of these directions is specified again, the second specification overrules that specific direction. For this reason, the order matters and you can rearrange the directions with the [Up] and [Down] keys. You can also add a new direction, remember to press [Add] or it will not be included. Example: (1,0,0) (1,1,1), (0,0,1) would specify the {100} family of directions, the {111} family and then the (001) direction, overruling the value given for the whole family of directions. """) py_template_layers = """ import ase %(import)s surfaces = %(surfaces)s layers = %(layers)s lc = %(latconst)s atoms = %(factory)s('%(element)s', surfaces, layers, latticeconstant=lc) # OPTIONAL: Cast to ase.Atoms object, discarding extra information: # atoms = ase.Atoms(atoms) """ py_template_wulff = """ import ase from ase.cluster import wulff_construction surfaces = %(surfaces)s esurf = %(energies)s lc = %(latconst)s size = %(natoms)s # Number of atoms atoms = wulff_construction('%(element)s', surfaces, esurf, size, '%(structure)s', rounding='%(rounding)s', latticeconstant=lc) # OPTIONAL: Cast to ase.Atoms object, discarding extra information: # atoms = ase.Atoms(atoms) """ class SetupNanoparticle(SetupWindow): "Window for setting up a nanoparticle." # Structures: Abbreviation, name, 4-index (boolean), two lattice const (bool), factory structure_data = (('fcc', _('Face centered cubic (fcc)'), False, False, FaceCenteredCubic), ('bcc', _('Body centered cubic (bcc)'), False, False, BodyCenteredCubic), ('sc', _('Simple cubic (sc)'), False, False, SimpleCubic), ('hcp', _('Hexagonal closed-packed (hcp)'), True, True, HexagonalClosedPacked), ('graphite', _('Graphite'), True, True, Graphite), ) #NB: HCP is broken! # A list of import statements for the Python window. import_names = {'fcc': 'from ase.cluster.cubic import FaceCenteredCubic', 'bcc': 'from ase.cluster.cubic import BodyCenteredCubic', 'sc': 'from ase.cluster.cubic import SimpleCubic', 'hcp': 'from ase.cluster.hexagonal import HexagonalClosedPacked', 'graphite': 'from ase.cluster.hexagonal import Graphite', } # Default layer specifications for the different structures. default_layers = {'fcc': [( (1,0,0), 6), ( (1,1,0), 9), ( (1,1,1), 5)], 'bcc': [( (1,0,0), 6), ( (1,1,0), 9), ( (1,1,1), 5)], 'sc': [( (1,0,0), 6), ( (1,1,0), 9), ( (1,1,1), 5)], 'hcp': [( (0,0,0,1), 5), ( (1,0,-1,0), 5)], 'graphite': [( (0,0,0,1), 5), ( (1,0,-1,0), 5)] } def __init__(self, gui): SetupWindow.__init__(self) self.set_title(_("Nanoparticle")) self.atoms = None self.no_update = True vbox = gtk.VBox() # Intoductory text self.packtext(vbox, introtext) # Choose the element label = gtk.Label(_("Element: ")) label.set_alignment(0.0, 0.2) element = gtk.Entry(max=3) self.element = element lattice_button = gtk.Button(_("Get structure")) lattice_button.connect('clicked', self.set_structure_data) self.elementinfo = gtk.Label(" ") pack(vbox, [label, element, self.elementinfo, lattice_button], end=True) self.element.connect('activate', self.update) self.legal_element = False # The structure and lattice constant label = gtk.Label(_("Structure: ")) self.structure = gtk.combo_box_new_text() self.list_of_structures = [] self.needs_4index = {} self.needs_2lat = {} self.factory = {} for abbrev, name, n4, c, factory in self.structure_data: self.structure.append_text(name) self.list_of_structures.append(abbrev) self.needs_4index[abbrev] = n4 self.needs_2lat[abbrev] = c self.factory[abbrev] = factory self.structure.set_active(0) self.fourindex = self.needs_4index[self.list_of_structures[0]] self.structure.connect('changed', self.update_structure) label2 = gtk.Label(_("Lattice constant: a =")) self.lattice_const_a = gtk.Adjustment(3.0, 0.0, 1000.0, 0.01) self.lattice_const_c = gtk.Adjustment(5.0, 0.0, 1000.0, 0.01) self.lattice_box_a = gtk.SpinButton(self.lattice_const_a, 10.0, 3) self.lattice_box_c = gtk.SpinButton(self.lattice_const_c, 10.0, 3) self.lattice_box_a.numeric = True self.lattice_box_c.numeric = True self.lattice_label_c = gtk.Label(" c =") pack(vbox, [label, self.structure]) pack(vbox, [label2, self.lattice_box_a, self.lattice_label_c, self.lattice_box_c]) self.lattice_label_c.hide() self.lattice_box_c.hide() self.lattice_const_a.connect('value-changed', self.update) self.lattice_const_c.connect('value-changed', self.update) # Choose specification method label = gtk.Label(_("Method: ")) self.method = gtk.combo_box_new_text() for meth in (_("Layer specification"), _("Wulff construction")): self.method.append_text(meth) self.method.set_active(0) self.method.connect('changed', self.update_gui_method) pack(vbox, [label, self.method]) pack(vbox, gtk.Label("")) self.old_structure = None frame = gtk.Frame() pack(vbox, frame) framebox = gtk.VBox() frame.add(framebox) framebox.show() self.layerlabel = gtk.Label("Missing text") # Filled in later pack(framebox, [self.layerlabel]) # This box will contain a single table that is replaced when # the list of directions is changed. self.direction_table_box = gtk.VBox() pack(framebox, self.direction_table_box) pack(self.direction_table_box, gtk.Label(_("Dummy placeholder object"))) pack(framebox, gtk.Label("")) pack(framebox, [gtk.Label(_("Add new direction:"))]) self.newdir_label = [] self.newdir_box = [] self.newdir_index = [] packlist = [] for txt in ('(', ', ', ', ', ', '): self.newdir_label.append(gtk.Label(txt)) adj = gtk.Adjustment(0, -100, 100, 1) self.newdir_box.append(gtk.SpinButton(adj, 1, 0)) self.newdir_index.append(adj) packlist.append(self.newdir_label[-1]) packlist.append(self.newdir_box[-1]) self.newdir_layers = gtk.Adjustment(5, 0, 100, 1) self.newdir_layers_box = gtk.SpinButton(self.newdir_layers, 1, 0) self.newdir_esurf = gtk.Adjustment(1.0, 0, 1000.0, 0.1) self.newdir_esurf_box = gtk.SpinButton(self.newdir_esurf, 10, 3) addbutton = gtk.Button(_("Add")) addbutton.connect('clicked', self.row_add) packlist.extend([gtk.Label("): "), self.newdir_layers_box, self.newdir_esurf_box, gtk.Label(" "), addbutton]) pack(framebox, packlist) self.defaultbutton = gtk.Button(_("Set all directions to default " "values")) self.defaultbutton.connect('clicked', self.default_direction_table) self.default_direction_table() # Extra widgets for the Wulff construction self.wulffbox = gtk.VBox() pack(vbox, self.wulffbox) label = gtk.Label(_("Particle size: ")) self.size_n_radio = gtk.RadioButton(None, _("Number of atoms: ")) self.size_n_radio.set_active(True) self.size_n_adj = gtk.Adjustment(100, 1, 100000, 1) self.size_n_spin = gtk.SpinButton(self.size_n_adj, 0, 0) self.size_dia_radio = gtk.RadioButton(self.size_n_radio, _("Volume: ")) self.size_dia_adj = gtk.Adjustment(1.0, 0, 100.0, 0.1) self.size_dia_spin = gtk.SpinButton(self.size_dia_adj, 10.0, 2) pack(self.wulffbox, [label, self.size_n_radio, self.size_n_spin, gtk.Label(" "), self.size_dia_radio, self.size_dia_spin, gtk.Label(_("ų"))]) self.size_n_radio.connect("toggled", self.update_gui_size) self.size_dia_radio.connect("toggled", self.update_gui_size) self.size_n_adj.connect("value-changed", self.update_size_n) self.size_dia_adj.connect("value-changed", self.update_size_dia) label = gtk.Label(_("Rounding: If exact size is not possible, " "choose the size")) pack(self.wulffbox, [label]) self.round_above = gtk.RadioButton(None, _("above ")) self.round_below = gtk.RadioButton(self.round_above, _("below ")) self.round_closest = gtk.RadioButton(self.round_above, _("closest ")) self.round_closest.set_active(True) butbox = gtk.HButtonBox() self.smaller_button = gtk.Button(_("Smaller")) self.larger_button = gtk.Button(_("Larger")) self.smaller_button.connect('clicked', self.wulff_smaller) self.larger_button.connect('clicked', self.wulff_larger) pack(butbox, [self.smaller_button, self.larger_button]) buts = [self.round_above, self.round_below, self.round_closest] for b in buts: b.connect("toggled", self.update) buts.append(butbox) pack(self.wulffbox, buts, end=True) # Information pack(vbox, gtk.Label("")) infobox = gtk.VBox() label1 = gtk.Label(_("Number of atoms: ")) self.natoms_label = gtk.Label("-") label2 = gtk.Label(_(" Approx. diameter: ")) self.dia1_label = gtk.Label("-") pack(infobox, [label1, self.natoms_label, label2, self.dia1_label]) pack(infobox, gtk.Label("")) infoframe = gtk.Frame(_("Information about the created cluster:")) infoframe.add(infobox) infobox.show() pack(vbox, infoframe) # Buttons self.pybut = PyButton(_("Creating a nanoparticle.")) self.pybut.connect('clicked', self.makeatoms) helpbut = help(helptext) buts = cancel_apply_ok(cancel=lambda widget: self.destroy(), apply=self.apply, ok=self.ok) pack(vbox, [self.pybut, helpbut, buts], end=True, bottom=True) self.auto = gtk.CheckButton(_("Automatic Apply")) fr = gtk.Frame() fr.add(self.auto) fr.show_all() pack(vbox, [fr], end=True, bottom=True) # Finalize setup self.update_structure() self.update_gui_method() self.add(vbox) vbox.show() self.show() self.gui = gui self.no_update = False def default_direction_table(self, widget=None): "Set default directions and values for the current crystal structure." self.direction_table = [] struct = self.get_structure() for direction, layers in self.default_layers[struct]: adj1 = gtk.Adjustment(layers, -100, 100, 1) adj2 = gtk.Adjustment(1.0, -1000.0, 1000.0, 0.1) adj1.connect("value-changed", self.update) adj2.connect("value-changed", self.update) self.direction_table.append([direction, adj1, adj2]) self.update_direction_table() def update_direction_table(self): "Update the part of the GUI containing the table of directions." #Discard old table oldwidgets = self.direction_table_box.get_children() assert len(oldwidgets) == 1 oldwidgets[0].hide() self.direction_table_box.remove(oldwidgets[0]) del oldwidgets # It should now be gone tbl = gtk.Table(len(self.direction_table)+1, 7) pack(self.direction_table_box, [tbl]) for i, data in enumerate(self.direction_table): tbl.attach(gtk.Label("%s: " % (str(data[0]),)), 0, 1, i, i+1) if self.method.get_active(): # Wulff construction spin = gtk.SpinButton(data[2], 1.0, 3) else: # Layers spin = gtk.SpinButton(data[1], 1, 0) tbl.attach(spin, 1, 2, i, i+1) tbl.attach(gtk.Label(" "), 2, 3, i, i+1) but = gtk.Button(_("Up")) but.connect("clicked", self.row_swap_next, i-1) if i == 0: but.set_sensitive(False) tbl.attach(but, 3, 4, i, i+1) but = gtk.Button(_("Down")) but.connect("clicked", self.row_swap_next, i) if i == len(self.direction_table)-1: but.set_sensitive(False) tbl.attach(but, 4, 5, i, i+1) but = gtk.Button(_("Delete")) but.connect("clicked", self.row_delete, i) if len(self.direction_table) == 1: but.set_sensitive(False) tbl.attach(but, 5, 6, i, i+1) tbl.show_all() self.update() def get_structure(self): "Returns the crystal structure chosen by the user." return self.list_of_structures[self.structure.get_active()] def update_structure(self, widget=None): "Called when the user changes the structure." s = self.get_structure() if s != self.old_structure: old4 = self.fourindex self.fourindex = self.needs_4index[s] if self.fourindex != old4: # The table of directions is invalid. self.default_direction_table() self.old_structure = s if self.needs_2lat[s]: self.lattice_label_c.show() self.lattice_box_c.show() else: self.lattice_label_c.hide() self.lattice_box_c.hide() if self.fourindex: self.newdir_label[3].show() self.newdir_box[3].show() else: self.newdir_label[3].hide() self.newdir_box[3].hide() self.update() def update_gui_method(self, widget=None): "Switch between layer specification and Wulff construction." self.update_direction_table() if self.method.get_active(): self.wulffbox.show() self.layerlabel.set_text(_("Surface energies (as energy/area, " "NOT per atom):")) self.newdir_layers_box.hide() self.newdir_esurf_box.show() else: self.wulffbox.hide() self.layerlabel.set_text(_("Number of layers:")) self.newdir_layers_box.show() self.newdir_esurf_box.hide() self.update() def wulff_smaller(self, widget=None): "Make a smaller Wulff construction." n = len(self.atoms) self.size_n_radio.set_active(True) self.size_n_adj.value = n-1 self.round_below.set_active(True) self.apply() def wulff_larger(self, widget=None): "Make a larger Wulff construction." n = len(self.atoms) self.size_n_radio.set_active(True) self.size_n_adj.value = n+1 self.round_above.set_active(True) self.apply() def row_add(self, widget=None): "Add a row to the list of directions." if self.fourindex: n = 4 else: n = 3 idx = tuple( [int(a.value) for a in self.newdir_index[:n]] ) if not np.array(idx).any(): oops(_("At least one index must be non-zero")) return if n == 4 and np.array(idx)[:3].sum() != 0: oops(_("Invalid hexagonal indices", "The sum of the first three numbers must be zero")) return adj1 = gtk.Adjustment(self.newdir_layers.value, -100, 100, 1) adj2 = gtk.Adjustment(self.newdir_esurf.value, -1000.0, 1000.0, 0.1) adj1.connect("value-changed", self.update) adj2.connect("value-changed", self.update) self.direction_table.append([idx, adj1, adj2]) self.update_direction_table() def row_delete(self, widget, row): del self.direction_table[row] self.update_direction_table() def row_swap_next(self, widget, row): dt = self.direction_table dt[row], dt[row+1] = dt[row+1], dt[row] self.update_direction_table() def update_gui_size(self, widget=None): "Update gui when the cluster size specification changes." self.size_n_spin.set_sensitive(self.size_n_radio.get_active()) self.size_dia_spin.set_sensitive(self.size_dia_radio.get_active()) def update_size_n(self, widget=None): if not self.size_n_radio.get_active(): return at_vol = self.get_atomic_volume() dia = 2.0 * (3 * self.size_n_adj.value * at_vol / (4 * np.pi))**(1.0/3) self.size_dia_adj.value = dia self.update() def update_size_dia(self, widget=None): if not self.size_dia_radio.get_active(): return at_vol = self.get_atomic_volume() n = round(np.pi / 6 * self.size_dia_adj.value**3 / at_vol) self.size_n_adj.value = n self.update() def update(self, *args): if self.no_update: return self.update_element() if self.auto.get_active(): self.makeatoms() if self.atoms is not None: self.gui.new_atoms(self.atoms) else: self.clearatoms() self.makeinfo() def set_structure_data(self, *args): "Called when the user presses [Get structure]." if not self.update_element(): oops(_("Invalid element.")) return z = ase.atomic_numbers[self.legal_element] ref = ase.data.reference_states[z] if ref is None: structure = None else: structure = ref['symmetry'] if ref is None or not structure in self.list_of_structures: oops(_("Unsupported or unknown structure", "Element = %s, structure = %s" % (self.legal_element, structure))) return for i, s in enumerate(self.list_of_structures): if structure == s: self.structure.set_active(i) a = ref['a'] self.lattice_const_a.set_value(a) self.fourindex = self.needs_4index[structure] if self.fourindex: try: c = ref['c'] except KeyError: c = ref['c/a'] * a self.lattice_const_c.set_value(c) self.lattice_label_c.show() self.lattice_box_c.show() else: self.lattice_label_c.hide() self.lattice_box_c.hide() def makeatoms(self, *args): "Make the atoms according to the current specification." if not self.update_element(): self.clearatoms() self.makeinfo() return False assert self.legal_element is not None struct = self.list_of_structures[self.structure.get_active()] if self.needs_2lat[struct]: # a and c lattice constants lc = {'a': self.lattice_const_a.value, 'c': self.lattice_const_c.value} lc_str = str(lc) else: lc = self.lattice_const_a.value lc_str = "%.5f" % (lc,) if self.method.get_active() == 0: # Layer-by-layer specification surfaces = [x[0] for x in self.direction_table] layers = [int(x[1].value) for x in self.direction_table] self.atoms = self.factory[struct](self.legal_element, copy(surfaces), layers, latticeconstant=lc) imp = self.import_names[struct] self.pybut.python = py_template_layers % {'import': imp, 'element': self.legal_element, 'surfaces': str(surfaces), 'layers': str(layers), 'latconst': lc_str, 'factory': imp.split()[-1] } else: # Wulff construction assert self.method.get_active() == 1 surfaces = [x[0] for x in self.direction_table] surfaceenergies = [x[2].value for x in self.direction_table] self.update_size_dia() if self.round_above.get_active(): rounding = "above" elif self.round_below.get_active(): rounding = "below" elif self.round_closest.get_active(): rounding = "closest" else: raise RuntimeError("No rounding!") self.atoms = wulff_construction(self.legal_element, surfaces, surfaceenergies, self.size_n_adj.value, self.factory[struct], rounding, lc) self.pybut.python = py_template_wulff % {'element': self.legal_element, 'surfaces': str(surfaces), 'energies': str(surfaceenergies), 'latconst': lc_str, 'natoms': self.size_n_adj.value, 'structure': struct, 'rounding': rounding } self.makeinfo() def clearatoms(self): self.atoms = None self.pybut.python = None def get_atomic_volume(self): s = self.list_of_structures[self.structure.get_active()] a = self.lattice_const_a.value c = self.lattice_const_c.value if s == 'fcc': return a**3 / 4 elif s == 'bcc': return a**3 / 2 elif s == 'sc': return a**3 elif s == 'hcp': return np.sqrt(3.0)/2 * a * a * c / 2 elif s == 'graphite': return np.sqrt(3.0)/2 * a * a * c / 4 else: raise RuntimeError("Unknown structure: "+s) def makeinfo(self): """Fill in information field about the atoms. Also turns the Wulff construction buttons [Larger] and [Smaller] on and off. """ if self.atoms is None: self.natoms_label.set_label("-") self.dia1_label.set_label("-") self.smaller_button.set_sensitive(False) self.larger_button.set_sensitive(False) else: self.natoms_label.set_label(str(len(self.atoms))) at_vol = self.get_atomic_volume() dia = 2 * (3 * len(self.atoms) * at_vol / (4 * np.pi))**(1.0/3.0) self.dia1_label.set_label(_("%.1f Ã…") % (dia,)) self.smaller_button.set_sensitive(True) self.larger_button.set_sensitive(True) def apply(self, *args): self.makeatoms() if self.atoms is not None: self.gui.new_atoms(self.atoms) return True else: oops(_("No valid atoms."), _("You have not (yet) specified a consistent set of " "parameters.")) return False def ok(self, *args): if self.apply(): self.destroy() python-ase-3.6.0.2515/ase/gui/setupwindow.py0000644000175400017540000000413111711330540017470 0ustar askhlaskhl# encoding: utf-8 """setupwindow.py - Window base class for setup modules. """ import gtk from gettext import gettext as _ from ase.gui.widgets import pack, cancel_apply_ok, oops import ase class SetupWindow(gtk.Window): "Base class for ase.gui setup windows." # __init__ inherited from gtk.Window def packtext(self, vbox, text, label=None): "Pack an text frame into the window." pack(vbox, gtk.Label("")) txtframe = gtk.Frame(label) txtlbl = gtk.Label(text) txtframe.add(txtlbl) txtlbl.show() pack(vbox, txtframe) pack(vbox, gtk.Label("")) def update_element(self, *args): "Called when a new element may have been entered." # Assumes the element widget is self.element and that a label # to keep updated is self.elementinfo. The chemical symbol is # placed in self.legalelement - or None if the element is # invalid. elem = self.element.get_text() if not elem: self.invalid_element(_(" No element specified!")) return False try: z = int(elem) except ValueError: # Probably a symbol try: z = ase.data.atomic_numbers[elem] except KeyError: self.invalid_element() return False try: symb = ase.data.chemical_symbols[z] except KeyError: self.invalid_element() return False name = ase.data.atomic_names[z] ref = ase.data.reference_states[z] if ref is None: struct = _("No crystal structure data") else: struct = ref['symmetry'] if struct == 'fcc' or struct == 'bcc': struct = "%s (a=%.3f Ã…)" % (struct, ref['a']) txt = " %s: %s, Z=%i, %s" % (name, symb, z, struct) self.elementinfo.set_text(txt) self.legal_element = symb return True def invalid_element(self, txt=_(" ERROR: Invalid element!")): self.legal_element = False self.elementinfo.set_text(txt) python-ase-3.6.0.2515/ase/gui/quickinfo.py0000644000175400017540000000324711706276516017117 0ustar askhlaskhl# encoding: utf-8 "Module for displaying information about the system." import gtk from gettext import gettext as _ from ase.gui.widgets import pack singleimage = _("Single image loaded.") multiimage = _("Image %d loaded (0 - %d).") ucconst = _("Unit cell is fixed.") ucvaries = _("Unit cell varies.") format = _("""\ %s Number of atoms: %d. Unit cell: %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %s """) class QuickInfo(gtk.Window): def __init__(self, gui): gtk.Window.__init__(self) self.set_title(_("Quick Info")) vbox = gtk.VBox() images = gui.images if images.natoms < 1: txt = _("No atoms loaded.") else: (nimg, natoms, three) = images.P.shape assert three == 3 img = gui.frame uc = images.A[img] if nimg > 1: equal = True for i in range(nimg): equal = equal and (uc == images.A[i]).all() if equal: uctxt = ucconst else: uctxt = ucvaries else: uctxt = "" if nimg == 1: imgtxt = singleimage else: imgtxt = multiimage % (img, nimg-1) txt = format % ((imgtxt, natoms) + tuple(uc.flat) + (uctxt,)) label = gtk.Label(txt) pack(vbox, [label]) but = gtk.Button(stock=gtk.STOCK_CLOSE) but.connect('clicked', self.close) pack(vbox, [but], end=True) self.add(vbox) vbox.show() self.show() self.gui = gui def close(self, *args): self.destroy() python-ase-3.6.0.2515/ase/gui/rotate.py0000644000175400017540000000306411706276516016422 0ustar askhlaskhlimport numpy as np import gtk from gettext import gettext as _ from ase.gui.widgets import pack from ase.utils import rotate, irotate class Rotate(gtk.Window): update = True def __init__(self, gui): gtk.Window.__init__(self) angles = irotate(gui.axes) self.set_title(_('Rotate')) vbox = gtk.VBox() pack(vbox, gtk.Label(_('Rotation angles:'))) self.rotate = [gtk.Adjustment(value=a, lower=-360, upper=360, step_incr=1, page_incr=10) for a in angles] pack(vbox, [gtk.SpinButton(a, climb_rate=0, digits=1) for a in self.rotate]) for r in self.rotate: r.connect('value-changed', self.change) button = pack(vbox, gtk.Button(_('Update'))) button.connect('clicked', self.update_angles) pack(vbox, gtk.Label(_('Note:\nYou can rotate freely\n' 'with the mouse, by holding\n' 'down mouse button 2.'))) self.add(vbox) vbox.show() self.show() self.gui = gui def change(self, adjustment): if self.update: x, y, z = [float(a.value) for a in self.rotate] self.gui.axes = rotate('%fx,%fy,%fz' % (x, y, z)) self.gui.set_coordinates() return True def update_angles(self, button): angles = irotate(self.gui.axes) self.update = False for r, a in zip(self.rotate, angles): r.value = a self.update = True python-ase-3.6.0.2515/ase/gui/scaling.py0000644000175400017540000004646011706276516016553 0ustar askhlaskhl# encoding: utf-8 "Module for homogeneous deformation and calculations of elastic constants." import gtk from gettext import gettext as _ from ase.gui.simulation import Simulation from ase.gui.minimize import MinimizeMixin from ase.gui.energyforces import OutputFieldMixin from ase.gui.widgets import oops, pack, AseGuiCancelException import ase import numpy as np scaling_txt = """\ This module is intended for calculating elastic constants by homogeneously deforming a system.""" help_txt = """ The homogeneous scaling module changes the size of a system by stretching it along on or more directions. Small amounts of deformation can be used to calculate elastic constants, large amounts to simulate plastic deformation. You will have to choose along which axis/axes the deformation is done. Usually, it only makes sense to deform along axes with periodic boundary conditions. The amount of deformation is set in the Deformation frame. A scale factor of e.g. 0.01 means that the system is changed incrementally from being 1% smaller than the initial configuration to 1% larger. The offset alters this so it is not symmetric around 0% deformation. A check-box can disable the negative deformation (compression). 'Atomic relaxations' means that the individual atoms are allowed to move relative to the unit cell. This is done by performing an energy minimization for each configuration. You will have to choose the algorithm and minimization parameters. During the deformation, a number of steps is taken, with different system sizes. You can choose to load all configurations into the main window as a movie, to only load the configuration with the lowest energy, or to keep the original configuration loaded. Important: If you repeat the calculation by pressing [Run] a second time, the starting configuration will have changed unless you keep the original configuration. """ class HomogeneousDeformation(Simulation, MinimizeMixin, OutputFieldMixin): "Window for homogeneous deformation and elastic constants." use_scrollbar = True def __init__(self, gui): Simulation.__init__(self, gui) self.set_title(_("Homogeneous scaling")) self.scaling_is_ready = False vbox = gtk.VBox() self.packtext(vbox, scaling_txt) self.packimageselection(vbox, txt1="", txt2="") self.start_radio_nth.set_active(True) pack(vbox, gtk.Label("")) # Radio buttons for choosing deformation mode. tbl = gtk.Table(4,3) for i, l in enumerate([_('3D deformation '), _('2D deformation '), _('1D deformation ')]): lbl = gtk.Label(l) tbl.attach(lbl, i, i+1, 0, 1) self.radio_bulk = gtk.RadioButton(None, _("Bulk")) tbl.attach(self.radio_bulk, 0, 1, 1, 2) self.radio_xy = gtk.RadioButton(self.radio_bulk, _("xy-plane")) tbl.attach(self.radio_xy, 1, 2, 1, 2) self.radio_xz = gtk.RadioButton(self.radio_bulk, _("xz-plane")) tbl.attach(self.radio_xz, 1, 2, 2, 3) self.radio_yz = gtk.RadioButton(self.radio_bulk, _("yz-plane")) tbl.attach(self.radio_yz, 1, 2, 3, 4) self.radio_x = gtk.RadioButton(self.radio_bulk, _("x-axis")) tbl.attach(self.radio_x, 2, 3, 1, 2) self.radio_y = gtk.RadioButton(self.radio_bulk, _("y-axis")) tbl.attach(self.radio_y, 2, 3, 2, 3) self.radio_z = gtk.RadioButton(self.radio_bulk, _("z-axis")) tbl.attach(self.radio_z, 2, 3, 3, 4) tbl.show_all() pack(vbox, [tbl]) self.deformtable = [ (self.radio_bulk, (1,1,1)), (self.radio_xy, (1,1,0)), (self.radio_xz, (1,0,1)), (self.radio_yz, (0,1,1)), (self.radio_x, (1,0,0)), (self.radio_y, (0,1,0)), (self.radio_z, (0,0,1))] self.allow_non_pbc = gtk.CheckButton( _("Allow deformation along non-periodic directions.")) pack(vbox, [self.allow_non_pbc]) self.allow_non_pbc.connect('toggled', self.choose_possible_deformations) # Parameters for the deformation framedef = gtk.Frame(_("Deformation:")) vbox2 = gtk.VBox() vbox2.show() framedef.add(vbox2) self.max_scale = gtk.Adjustment(0.010, 0.001, 10.0, 0.001) max_scale_spin = gtk.SpinButton(self.max_scale, 10.0, 3) pack(vbox2, [gtk.Label(_("Maximal scale factor: ")), max_scale_spin]) self.scale_offset = gtk.Adjustment(0.0, -10.0, 10.0, 0.001) self.scale_offset_spin = gtk.SpinButton(self.scale_offset, 10.0, 3) pack(vbox2, [gtk.Label(_("Scale offset: ")), self.scale_offset_spin]) self.nsteps = gtk.Adjustment(5, 3, 1000, 1) nsteps_spin = gtk.SpinButton(self.nsteps, 1, 0) pack(vbox2, [gtk.Label(_("Number of steps: ")), nsteps_spin]) self.pull = gtk.CheckButton(_("Only positive deformation")) pack(vbox2, [self.pull]) self.pull.connect('toggled', self.pull_toggled) # Atomic relaxations framerel = gtk.Frame(_("Atomic relaxations:")) vbox2 = gtk.VBox() vbox2.show() framerel.add(vbox2) self.radio_relax_on = gtk.RadioButton(None, _("On ")) self.radio_relax_off = gtk.RadioButton(self.radio_relax_on, _("Off")) self.radio_relax_off.set_active(True) pack(vbox2, [self.radio_relax_on, self.radio_relax_off]) self.make_minimize_gui(vbox2) for r in (self.radio_relax_on, self.radio_relax_off): r.connect("toggled", self.relax_toggled) self.relax_toggled() pack(vbox, [framedef, gtk.Label(" "), framerel]) pack(vbox, gtk.Label("")) # Results pack(vbox, [gtk.Label(_("Results:"))]) self.radio_results_keep = gtk.RadioButton( None, _("Keep original configuration")) self.radio_results_optimal = gtk.RadioButton( self.radio_results_keep, _("Load optimal configuration")) self.radio_results_all = gtk.RadioButton( self.radio_results_optimal, _("Load all configurations")) self.radio_results_keep.set_active(True) pack(vbox, [self.radio_results_keep]) pack(vbox, [self.radio_results_optimal]) pack(vbox, [self.radio_results_all]) # Output field #label = gtk.Label("Strain\t\tEnergy [eV]\n") outframe = self.makeoutputfield(None, heading=_("Strain\t\tEnergy [eV]")) fitframe = gtk.Frame(_("Fit:")) vbox2 = gtk.VBox() vbox2.show() fitframe.add(vbox2) self.radio_fit_2 = gtk.RadioButton(None, _("2nd")) self.radio_fit_3 = gtk.RadioButton(self.radio_fit_2, _("3rd")) self.radio_fit_2.connect("toggled", self.change_fit) self.radio_fit_3.connect("toggled", self.change_fit) self.radio_fit_3.set_active(True) pack(vbox2, [gtk.Label(_("Order of fit: ")), self.radio_fit_2, self.radio_fit_3]) pack(vbox2, [gtk.Label("")]) scrwin = gtk.ScrolledWindow() scrwin.set_policy(gtk.POLICY_AUTOMATIC, gtk.POLICY_AUTOMATIC) self.fit_output = gtk.TextBuffer() txtview = gtk.TextView(self.fit_output) txtview.set_editable(False) scrwin.add(txtview) scrwin.show_all() self.fit_win = scrwin vbox2.pack_start(scrwin, True, True, 0) hbox = gtk.HBox(homogeneous=True) for w in [outframe, fitframe]: hbox.pack_start(w) w.show() pack(vbox, hbox) pack(vbox, gtk.Label("")) # Status field self.status_label = gtk.Label("") pack(vbox, [self.status_label]) # Activate the right deformation buttons self.choose_possible_deformations(first=True) # Run buttons etc. self.makebutbox(vbox, helptext=help_txt) vbox.show() if self.use_scrollbar: self.scrwin = gtk.ScrolledWindow() self.scrwin.set_policy(gtk.POLICY_AUTOMATIC, gtk.POLICY_AUTOMATIC) self.scrwin.add_with_viewport(vbox) self.scrwin.show() self.add(self.scrwin) self.scaling_is_ready = True self.set_reasonable_size() else: self.add(vbox) self.show() self.gui.register_vulnerable(self) def set_reasonable_size(self, resize=False): if not self.use_scrollbar or not self.scaling_is_ready: return x, y = self.scrwin.get_children()[0].size_request() x += self.scrwin.get_vscrollbar().size_request()[0] + 5 y += self.scrwin.get_hscrollbar().size_request()[1] + 5 print x,y if resize: xdef, ydef = self.get_default_size() xnow, ynow = self.get_size() if xdef == xnow and ydef == ynow: # The user has not changed the size. Resize should be OK self.resize(x,y) self.set_default_size(x,y) else: self.set_default_size(x,y) def min_algo_specific(self, *args): MinimizeMixin.min_algo_specific(self, *args) self.set_reasonable_size(resize=True) def choose_possible_deformations(self, widget=None, first=False): """Turn on sensible radio buttons. Only radio buttons corresponding to deformations in directions with periodic boundary conditions should be turned on. """ if self.setup_atoms(): pbc = self.atoms.get_pbc() else: pbc = np.array([False, False, False], bool) if (pbc == [True, True, True]).all(): self.allow_non_pbc.set_active(False) self.allow_non_pbc.set_sensitive(False) else: self.allow_non_pbc.set_sensitive(True) if self.allow_non_pbc.get_active(): pbc = [True, True, True] #All is allowed self.radio_relax_off.set_active(True) self.radio_relax_on.set_sensitive(False) else: self.radio_relax_on.set_sensitive(True) for radio, requirement in self.deformtable: ok = True for i in range(3): if requirement[i] and not pbc[i]: ok = False radio.set_sensitive(ok) if first and ok: # The first acceptable choice, choose it to prevent # inconsistent state. radio.set_active(True) first = False def relax_toggled(self, *args): "Turn minimization widgets on or off." state = self.radio_relax_on.get_active() for widget in (self.algo, self.fmax_spin, self.steps_spin): widget.set_sensitive(state) def pull_toggled(self, *args): "When positive def. only, the scale offset is turned off." self.scale_offset_spin.set_sensitive(not self.pull.get_active()) def notify_atoms_changed(self): "When atoms have changed, check for the number of images." self.setupimageselection() self.choose_possible_deformations() self.set_reasonable_size(resize=True) def get_deformation_axes(self): """Return which axes the user wants to deform along.""" for but, deform in self.deformtable: if but.get_active(): return np.array(deform) # No deformation chosen! oops("No deformation chosen: Please choose a deformation mode.") return False def run(self, *args): """Make the deformation.""" self.output.set_text("") if not self.setup_atoms(): return deform_axes = self.get_deformation_axes() if deform_axes is False: return #Nothing to do! # Prepare progress bar if self.radio_relax_on.get_active(): fmax = self.fmax.value mininame = self.minimizers[self.algo.get_active()] self.begin(mode="scale/min", algo=mininame, fmax=fmax, steps=self.steps.value, scalesteps=self.nsteps.value) else: self.begin(mode="scale", scalesteps=self.nsteps.value) try: logger_func = self.gui.simulation['progress'].get_logger_stream except (KeyError, AttributeError): logger = None else: logger = logger_func() # Don't catch errors in the function. # Display status message self.status_label.set_text(_("Running ...")) self.status_label.modify_fg(gtk.STATE_NORMAL, gtk.gdk.color_parse('#AA0000')) while gtk.events_pending(): gtk.main_iteration() # Do the scaling scale = self.max_scale.value if self.pull.get_active(): steps = np.linspace(0, scale, self.nsteps.value) else: steps = np.linspace(-scale, scale, self.nsteps.value) steps += self.scale_offset.value undef_cell = self.atoms.get_cell() results = [] #txt = "Strain\t\tEnergy [eV]\n" txt = "" # If we load all configurations, prepare it. if self.radio_results_all.get_active(): self.prepare_store_atoms() stored_atoms = False try: # Now, do the deformation for i, d in enumerate(steps): deformation = np.diag(1.0 + d * deform_axes) self.atoms.set_cell(np.dot(undef_cell, deformation), scale_atoms=True) if self.gui.simulation.has_key('progress'): self.gui.simulation['progress'].set_scale_progress(i) if self.radio_relax_on.get_active(): algo = getattr(ase.optimize, mininame) if mininame == "MDMin": minimizer = algo(self.atoms, logfile=logger, dt=self.mdmin_dt.value) else: minimizer = algo(self.atoms, logfile=logger) minimizer.run(fmax=fmax, steps=self.steps.value) e = self.atoms.get_potential_energy() results.append((d, e)) txt = txt + ("%.5f\t\t%.5f\n" % (d, e)) self.output.set_text(txt) if self.radio_results_all.get_active(): self.store_atoms() stored_atoms = True except AseGuiCancelException: # Update display to reflect cancellation of simulation. self.status_label.set_text(_("Calculation CANCELLED.")) self.status_label.modify_fg(gtk.STATE_NORMAL, gtk.gdk.color_parse('#AA4000')) except MemoryError: self.status_label.set_text(_("Out of memory, consider using " "LBFGS instead")) self.status_label.modify_fg(gtk.STATE_NORMAL, gtk.gdk.color_parse('#AA4000')) else: # Update display to reflect succesful end of simulation. self.status_label.set_text(_("Calculation completed.")) self.status_label.modify_fg(gtk.STATE_NORMAL, gtk.gdk.color_parse('#007700')) if results: self.do_fit(np.array(results)) if self.radio_results_optimal.get_active(): if self.minimum_ok: deformation = np.diag(1.0 + self.x0 * deform_axes) self.atoms.set_cell(np.dot(undef_cell, deformation), scale_atoms=True) if self.radio_relax_on.get_active(): if self.gui.simulation.has_key('progress'): self.gui.simulation['progress'].set_scale_progress( len(steps)) algo = getattr(ase.optimize, mininame) minimizer = algo(self.atoms, logfile=logger) minimizer.run(fmax=fmax, steps=self.steps.value) # Store the optimal configuration. self.prepare_store_atoms() self.store_atoms() stored_atoms = True else: oops(_("No trustworthy minimum: Old configuration kept.")) self.activate_output() if stored_atoms: self.gui.notify_vulnerable() self.end() # If we store all configurations: Open movie window and energy graph if stored_atoms and self.gui.images.nimages > 1: self.gui.movie() assert not np.isnan(self.gui.images.E[0]) if not self.gui.plot_graphs_newatoms(): expr = 'i, e - E[-1]' self.gui.plot_graphs(expr=expr) # Continuations should use the best image nbest = np.argmin(np.array(results)[:,1]) self.start_nth_adj.value = nbest def change_fit(self, widget): "Repeat the fitting if the order is changed." # It may be called both for the button being turned on and the # one being turned off. But we only want to call do_fit once. # And only if there are already cached results (ie. if the # order is changed AFTER the calculation is done). if widget.get_active() and getattr(self, "results", None) is not None: self.do_fit(None) def do_fit(self, results): "Fit the results to a polynomial" if results is None: results = self.results # Use cached results else: self.results = results # Keep for next time self.minimum_ok = False if self.radio_fit_3.get_active(): order = 3 else: order = 2 if len(results) < 3: txt = (_("Insufficent data for a fit\n(only %i data points)\n") % (len(results),) ) order = 0 elif len(results) == 3 and order == 3: txt = _("REVERTING TO 2ND ORDER FIT\n(only 3 data points)\n\n") order = 2 else: txt = "" if order > 0: fit0 = np.poly1d(np.polyfit(results[:,0], results[:,1], order)) fit1 = np.polyder(fit0, 1) fit2 = np.polyder(fit1, 1) x0 = None for t in np.roots(fit1): if fit2(t) > 0: x0 = t break if x0 is None: txt = txt + _("No minimum found!") else: e0 = fit0(x0) e2 = fit2(x0) txt += "E = " if order == 3: txt += "A(x - x0)³ + " txt += "B(x - x0)² + C\n\n" txt += "B = %.5g eV\n" % (e2,) txt += "C = %.5g eV\n" % (e0,) txt += "x0 = %.5g\n" % (x0,) lowest = self.scale_offset.value - self.max_scale.value highest = self.scale_offset.value + self.max_scale.value if x0 < lowest or x0 > highest: txt += _("\nWARNING: Minimum is outside interval\n") txt += _("It is UNRELIABLE!\n") else: self.minimum_ok = True self.x0 = x0 self.fit_output.set_text(txt) python-ase-3.6.0.2515/ase/gui/graphene.py0000644000175400017540000002152211706276516016714 0ustar askhlaskhl# encoding: utf-8 """nanotube.py - Window for setting up Graphene sheets and ribbons. """ import gtk from gettext import gettext as _ from ase.gui.widgets import pack, cancel_apply_ok, oops from ase.gui.setupwindow import SetupWindow from ase.gui.pybutton import PyButton from ase.structure import graphene_nanoribbon import ase import numpy as np introtext = _("""\ Set up a graphene sheet or a graphene nanoribbon. A nanoribbon may optionally be saturated with hydrogen (or another element).\ """) py_template = """ from ase.structure import nanotube atoms = nanotube(%(n)i, %(m)i, length=%(length)i, bond=%(bl).3f, symbol=%(symb)s) """ class SetupGraphene(SetupWindow): "Window for setting up a graphene sheet or nanoribbon." def __init__(self, gui): SetupWindow.__init__(self) self.set_title(_("Graphene")) vbox = gtk.VBox() # Intoductory text self.packtext(vbox, introtext) # Choose structure label = gtk.Label(_("Structure: ")) self.struct = gtk.combo_box_new_text() for s in (_("Infinite sheet"), _("Unsaturated ribbon"), _("Saturated ribbon")): self.struct.append_text(s) self.struct.set_active(0) self.struct.connect('changed', self.update_gui) pack(vbox, [label, self.struct]) # Orientation label = gtk.Label(_("Orientation: ")) self.orient = gtk.combo_box_new_text() self.orient_text = [] for s in (_("zigzag"), _("armchair")): self.orient.append_text(s) self.orient_text.append(s) self.orient.set_active(0) self.orient.connect('changed', self.update_gui) pack(vbox, [label, self.orient]) pack(vbox, gtk.Label("")) # Choose the element and bond length label1 = gtk.Label("Element: ") #label.set_alignment(0.0, 0.2) self.element = gtk.Entry(max=3) self.element.set_text("C") self.element.connect('activate', self.update_element) self.bondlength = gtk.Adjustment(1.42, 0.0, 1000.0, 0.01) label2 = gtk.Label(_(" Bond length: ")) label3 = gtk.Label(_("Ã…")) bond_box = gtk.SpinButton(self.bondlength, 10.0, 3) pack(vbox, [label1, self.element, label2, bond_box, label3]) # Choose the saturation element and bond length self.sat_label1 = gtk.Label(_("Saturation: ")) #label.set_alignment(0.0, 0.2) self.element2 = gtk.Entry(max=3) self.element2.set_text(_("H")) self.element2.connect('activate', self.update_element) self.bondlength2 = gtk.Adjustment(1.12, 0.0, 1000.0, 0.01) self.sat_label2 = gtk.Label(_(" Bond length: ")) self.sat_label3 = gtk.Label(_("Ã…")) self.bond_box = gtk.SpinButton(self.bondlength2, 10.0, 3) pack(vbox, [self.sat_label1, self.element2, self.sat_label2, self.bond_box, self.sat_label3]) self.elementinfo = gtk.Label("") self.elementinfo.modify_fg(gtk.STATE_NORMAL, gtk.gdk.color_parse('#FF0000')) pack(vbox, [self.elementinfo]) pack(vbox, gtk.Label("")) # Size label1 = gtk.Label(_("Width: ")) label2 = gtk.Label(_(" Length: ")) self.n = gtk.Adjustment(1, 1, 100, 1) self.m = gtk.Adjustment(1, 1, 100, 1) spinn = gtk.SpinButton(self.n, 0, 0) spinm = gtk.SpinButton(self.m, 0, 0) pack(vbox, [label1, spinn, label2, spinm]) # Vacuum label1 = gtk.Label(_("Vacuum: ")) self.vacuum = gtk.Adjustment(5.0, 0.0, 1000.0, 0.1) label2 = gtk.Label(_("Ã…")) vac_box = gtk.SpinButton(self.vacuum, 10.0, 2) pack(vbox, [label1, vac_box, label2]) pack(vbox, gtk.Label("")) # Buttons #self.pybut = PyButton("Creating a nanoparticle.") #self.pybut.connect('clicked', self.makeatoms) buts = cancel_apply_ok(cancel=lambda widget: self.destroy(), apply=self.apply, ok=self.ok) pack(vbox, [buts], end=True, bottom=True) # Finalize setup self.update_gui() self.add(vbox) vbox.show() self.show() self.gui = gui def update_element(self, *args): "Called when a new element may have been entered." # Assumes the element widget is self.element and that a label # for errors is self.elementinfo. The chemical symbol is # placed in self.legalelement - or None if the element is # invalid. symb = [] if self.struct.get_active() == 2: # Saturated nanoribbon elements = (self.element.get_text(), self.element2.get_text()) else: elements = (self.element.get_text(), ) for elem in elements: if not elem: self.invalid_element(_(" No element specified!")) return False try: z = int(elem) except ValueError: # Probably a symbol try: z = ase.data.atomic_numbers[elem] except KeyError: self.invalid_element() return False try: symb.append(ase.data.chemical_symbols[z]) except KeyError: self.invalid_element() return False self.elementinfo.set_text("") self.legal_element = symb[0] if len(symb) == 2: self.legal_element2 = symb[1] else: self.legal_element2 = None return True def update_gui(self, *args): # Saturation element is only relevant for saturated nanoribbons satur = self.struct.get_active() == 2 for w in (self.element2, self.bond_box): w.set_sensitive(satur) # Infinite zigzag sheets must have even width if self.struct.get_active() == 0 and self.orient.get_active() == 0: if self.n.value % 2 == 1: self.n.value += 1 self.n.lower = 2 self.n.step_increment = 2 else: self.n.lower = 1 self.n.step_increment = 1 def makeatoms(self, *args): self.update_element() if self.legal_element is None or (self.struct.get_active() == 2 and self.legal_element2 is None): self.atoms = None self.pybut.python = None else: n = int(self.n.value) m = int(self.m.value) CC = self.bondlength.value vacuum = self.vacuum.value orient = self.orient_text[self.orient.get_active()] elem = self.legal_element if self.struct.get_active() == 0: # Extended sheet self.atoms = graphene_nanoribbon(n, m, type=orient, C_C=CC, vacc=vacuum, sheet=True, main_element=elem) elif self.struct.get_active() == 1: # Unsaturated nanoribbon self.atoms = graphene_nanoribbon(n, m, type=orient, C_C=CC, vacc=vacuum, main_element=elem) elif self.struct.get_active() == 2: # Saturated nanoribbon elem2 = self.legal_element2 self.atoms = graphene_nanoribbon(n, m, type=orient, C_C=CC, C_H=self.bondlength2.value, vacuum=vacuum, saturated=True, main_element=elem, saturate_element=elem2) else: raise RuntimeError("Unknown structure in SetupGraphene!") # Now, rotate into the xy plane (ase.gui's default view plane) pos = self.atoms.get_positions() cell = self.atoms.get_cell() pbc = self.atoms.get_pbc() cell[1,1], cell[2,2] = cell[2,2], cell[1,1] x = pos[:,1].copy() z = pos[:,2].copy() pos[:,1] = z pos[:,2] = x self.atoms.set_cell(cell) self.atoms.set_positions(pos) self.atoms.set_pbc([pbc[0], pbc[2], pbc[1]]) def apply(self, *args): self.makeatoms() if self.atoms is not None: self.gui.new_atoms(self.atoms) return True else: oops(_("No valid atoms."), _("You have not (yet) specified a consistent set of " "parameters.")) return False def ok(self, *args): if self.apply(): self.destroy() python-ase-3.6.0.2515/ase/gui/progress.py0000644000175400017540000003157711706276516017002 0ustar askhlaskhl# encoding: utf-8 import gtk from gettext import gettext as _ import numpy as np from ase.gui.widgets import pack, oops, AseGuiCancelException import sys import re import time class DummyProgressIndicator: def begin(self, **kwargs): pass def end(self): pass class DefaultProgressIndicator(gtk.Window): "Window for reporting progress." waittime = 3 # Time (in sec) after which a progress bar appears. updatetime = 0.1 # Minimum time (in sec) between updates of the progress bars. def __init__(self): gtk.Window.__init__(self) self.set_title(_("Progress")) self.globalbox = gtk.VBox() self.nextupdate = 0 self.fmax_max = 1.0 # Scaling deformation progress frame self.scalebox = gtk.VBox() self.scaleframe = gtk.Frame(_("Scaling deformation:")) vbox = gtk.VBox() self.scaleframe.add(vbox) pack(self.scalebox, [self.scaleframe]) pack(self.scalebox, gtk.Label("")) self.label_scale_stepno_format = _("Step number %s of %s.") self.label_scale_stepno = gtk.Label( self.label_scale_stepno_format % ("-" , "-")) pack(vbox, [self.label_scale_stepno]) self.scale_progress = gtk.ProgressBar() self.scale_progress.modify_bg(gtk.STATE_PRELIGHT, gtk.gdk.color_parse('#00AA00')) pack(vbox, [self.scale_progress]) vbox.show() self.scaleframe.show() self.globalbox.pack_start(self.scalebox) # Minimization progress frame self.minbox = gtk.VBox() # Box containing frame and spacing self.minframe = gtk.Frame(_("Energy minimization:")) vbox = gtk.VBox() # Box containing the frames content. self.minframe.add(vbox) pack(self.minbox, [self.minframe]) pack(self.minbox, gtk.Label("")) self.label_min_stepno = gtk.Label("-") pack(vbox, [gtk.Label(_("Step number: ")), self.label_min_stepno]) lbl = gtk.Label() lbl.set_markup(_("Fmax: ")) self.minimize_progress = gtk.ProgressBar() pack(vbox, [lbl, self.minimize_progress]) self.label_min_fmax = gtk.Label("-") lbl = gtk.Label() lbl.set_markup(_("Convergence criterion: Fmax = ")) pack(vbox, [lbl, self.label_min_fmax]) self.label_min_maxsteps = gtk.Label("-") pack(vbox, [gtk.Label(_("Max. number of steps: ")), self.label_min_maxsteps]) vbox.show() self.minframe.show() self.globalbox.pack_start(self.minbox) self.globalbox.show() self.add(self.globalbox) # Make the cancel button self.cancelbut = gtk.Button(stock=gtk.STOCK_CANCEL) self.cancelbut.connect('clicked', self.cancel) pack(self.globalbox, [self.cancelbut], end=True, bottom=True) def begin(self, mode=None, algo=None, fmax=None, steps=None, scalesteps=None): self.mode = mode # Hide all mode-specific boxes self.scalebox.hide() self.minbox.hide() # Activate any relevant box if mode == "scale" or mode == "scale/min": self.scalesteps = int(scalesteps) self.scalebox.show() self.set_scale_progress(0, init=True) if mode == "min" or mode == "scale/min": # It is a minimization. self.minbox.show() self.label_min_stepno.set_text("-") self.label_min_fmax.set_text("%.3f" % (fmax,)) self.label_min_maxsteps.set_text(str(int(steps))) self.minimize_progress.set_fraction(0) self.minimize_progress.set_text(_("unknown")) # Record starting time self.starttime = time.time() self.active = None # Becoming active self.raisecancelexception = False def end(self): self.hide() self.active = False def activity(self): "Register that activity occurred." if self.active is None and time.time() > self.starttime + self.waittime: # This has taken so long that a progress bar is needed. self.show() self.active = True # Allow GTK to update display if self.active: while gtk.events_pending(): gtk.main_iteration() if self.raisecancelexception: self.cancelbut.set_sensitive(True) raise AseGuiCancelException def cancel(self, widget): print "CANCEL pressed." # We cannot raise the exception here, as this function is # called by the GTK main loop. self.raisecancelexception = True self.cancelbut.set_sensitive(False) def set_scale_progress(self, step, init=False): "Set the step number in scaling deformation." self.label_scale_stepno.set_text( self.label_scale_stepno_format % (step, self.scalesteps)) percent = 1.0 * step / self.scalesteps self.scale_progress.set_fraction(percent) self.scale_progress.set_text("%i%%" % (round(100*percent),)) if not init: self.activity() def logger_write(self, line): if time.time() > self.nextupdate: if self.mode == "min" or self.mode == "scale/min": # Update the minimization progress bar. w = line.split() fmax = float(w[-1]) step = w[1] if fmax > self.fmax_max: self.fmax_max = np.ceil(fmax) self.minimize_progress.set_fraction(fmax / self.fmax_max) self.minimize_progress.set_text(w[-1]) self.label_min_stepno.set_text(step) else: raise RuntimeError( "ProgressIndicator.logger_write called unexpectedly") self.activity() self.nextupdate = time.time() + self.updatetime def get_logger_stream(self): return LoggerStream(self) class GpawProgressIndicator(DefaultProgressIndicator): "Window for reporting GPAW progress." def __init__(self): DefaultProgressIndicator.__init__(self) # GPAW progress frame self.gpawframe = gtk.Frame("GPAW progress:") vbox = self.gpawvbox = gtk.VBox() self.gpawframe.add(vbox) self.table = gtk.Table(1, 2) self.tablerows = 0 pack(vbox, self.table) self.status = gtk.Label("-") self.tablepack([gtk.Label(_("Status: ")), self.status]) self.iteration = gtk.Label("-") self.tablepack([gtk.Label(_("Iteration: ")), self.iteration]) self.tablepack([gtk.Label("")]) lbl = gtk.Label() lbl.set_markup(_("log10(change):")) self.tablepack([gtk.Label(""), lbl]) self.wfs_progress = gtk.ProgressBar() self.tablepack([gtk.Label(_("Wave functions: ")), self.wfs_progress]) self.dens_progress = gtk.ProgressBar() self.tablepack([gtk.Label(_("Density: ")), self.dens_progress]) self.energy_progress = gtk.ProgressBar() self.tablepack([gtk.Label(_("Energy: ")), self.energy_progress]) self.tablepack([gtk.Label("")]) self.versionlabel = gtk.Label("") self.tablepack([gtk.Label(_("GPAW version: ")), self.versionlabel]) self.natomslabel = gtk.Label("") self.tablepack([gtk.Label(_("Number of atoms: ")), self.natomslabel]) self.memorylabel = gtk.Label(_("N/A")) self.tablepack([gtk.Label(_("Memory estimate: ")), self.memorylabel]) self.globalbox.pack_start(self.gpawframe) self.gpawframe.show() vbox.show() self.active = False def tablepack(self, widgets): self.tablerows += 1 self.table.resize(self.tablerows, 2) for i, w in enumerate(widgets): self.table.attach(w, i, i+1, self.tablerows-1, self.tablerows) if hasattr(w, "set_alignment"): w.set_alignment(0, 0.5) w.show() def begin(self, **kwargs): DefaultProgressIndicator.begin(self, **kwargs) # Set GPAW specific stuff. self.active = True self.oldenergy = None self.poscount = None self.reset_gpaw_bars() # With GPAW, all calculations are slow: Show progress window # immediately. self.show() while gtk.events_pending(): gtk.main_iteration() def reset_gpaw_bars(self): for lbl in (self.status, self.iteration): lbl.set_text("-") for bar in (self.wfs_progress, self.dens_progress, self.energy_progress): bar.set_fraction(0.0) bar.set_text(_("No info")) def gpaw_write(self, txt): #if not self.active: # self.begin() sys.stdout.write(txt) versearch = re.search("\|[ |_.]+([0-9]+\.[0-9]+\.[0-9]+)", txt) if versearch: # Starting a gpaw calculation. self.versionlabel.set_text(versearch.group(1)) self.status.set_text(_("Initializing")) elif txt.startswith(_("Positions:")): # Start counting atoms self.poscount = True self.reset_gpaw_bars() self.status.set_text(_("Starting calculation")) self.oldenergy = None elif txt.strip() == "": # Stop counting atoms self.poscount = False elif self.poscount: # Count atoms. w = txt.split() assert(len(w) == 5) self.natoms = int(w[0]) + 1 self.natomslabel.set_text(str(self.natoms)) elif txt.startswith("iter:"): # Found iteration line. wfs = txt[self.wfs_idx:self.density_idx].strip() dens = txt[self.density_idx:self.energy_idx].strip() energy = txt[self.energy_idx:self.fermi_idx].strip() if wfs: p = fraction(float(wfs), -9.0) self.wfs_progress.set_fraction(p) self.wfs_progress.set_text(wfs) if dens: p = fraction(float(dens), -4.0) self.dens_progress.set_fraction(p) self.dens_progress.set_text(dens) if energy: if self.oldenergy is None: self.oldenergy = float(energy) else: de = abs(self.oldenergy - float(energy)) self.oldenergy = float(energy) if de > 1e-10: de = np.log10(de/self.natoms) p = fraction(de, -3.0) self.energy_progress.set_fraction(p) self.energy_progress.set_text("%.1f" % de) else: self.energy_progress.set_fraction(1) self.energy_progress.set_text(_("unchanged")) words = txt.split() self.iteration.set_text(words[1]) elif (-1 < txt.find("WFS") < txt.find("Density") < txt.find("Energy") < txt.find("Fermi")): # Found header of convergence table self.wfs_idx = txt.find("WFS") self.density_idx = txt.find("Density") self.energy_idx = txt.find("Energy") self.fermi_idx = txt.find("Fermi") self.status.set_text(_("Self-consistency loop")) self.iteration.set_text("0") elif txt.find("Converged After") != -1: # SCF loop has converged. words = txt.split() self.status.set_text(_("Calculating forces")) self.iteration.set_text(words[2] + _(" (converged)")) elif -1 < txt.find("Calculator") < txt.find("MiB"): # Memory estimate words = txt.split() self.memorylabel.set_text(words[1]+" "+words[2]) self.activity() def get_gpaw_stream(self): return GpawStream(self) class LoggerStream: "A file-like object feeding minimizer logs to GpawProgressWindow." def __init__(self, progresswindow): self.window = progresswindow def write(self, txt): self.window.logger_write(txt) def flush(self): pass class GpawStream: "A file-like object feeding GPAWs txt file to GpawProgressWindow." def __init__(self, progresswindow): self.window = progresswindow def write(self, txt): if txt == "": return endline = txt[-1] == '\n' if endline: txt = txt[:-1] lines = txt.split("\n") if endline: for l in lines: self.window.gpaw_write(l+'\n') else: for l in lines[:-1]: self.window.gpaw_write(l+'\n') self.window.gpaw_write(lines[-1]) def flush(self): pass def fraction(value, maximum): p = value/maximum if p < 0.0: return 0.0 elif p > 1.0: return 1.0 else: return p python-ase-3.6.0.2515/ase/gui/surfaceslab.py0000644000175400017540000002407711711330540017405 0ustar askhlaskhl# encoding: utf-8 """surfaceslab.py - Window for setting up surfaces """ import gtk from gettext import gettext as _ from ase.gui.widgets import pack, cancel_apply_ok, oops from ase.gui.pybutton import PyButton from ase.gui.setupwindow import SetupWindow import ase.lattice.surface as _surf import ase import numpy as np introtext = _("""\ Use this dialog to create surface slabs. Select the element by writing the chemical symbol or the atomic number in the box. Then select the desired surface structure. Note that some structures can be created with an othogonal or a non-orthogonal unit cell, in these cases the non-orthogonal unit cell will contain fewer atoms. If the structure matches the experimental crystal structure, you can look up the lattice constant, otherwise you have to specify it yourself.""") # Name, structure, orthogonal, support-nonorthogonal, function surfaces = [(_('FCC(100)'), _('fcc'), True, False, _surf.fcc100), (_('FCC(110)'), _('fcc'), True, False, _surf.fcc110), (_('FCC(111) non-orthogonal'), _('fcc'), False, True, _surf.fcc111), (_('FCC(111) orthogonal'), _('fcc'), True, True, _surf.fcc111), (_('BCC(100)'), _('bcc'), True, False, _surf.bcc100), (_('BCC(110) non-orthogonal'), _('bcc'), False, True, _surf.bcc110), (_('BCC(110) orthogonal'), _('bcc'), True, True, _surf.bcc110), (_('BCC(111) non-orthogonal'), _('bcc'), False, True, _surf.bcc111), (_('BCC(111) orthogonal'), _('bcc'), True, True, _surf.bcc111), (_('HCP(0001) non-orthogonal'), _('hcp'), False, True, _surf.hcp0001), (_('HCP(0001) orthogonal'), _('hcp'), True, True, _surf.hcp0001), (_('HCP(10-10) orthogonal'), _('hcp'), True, False, _surf.hcp10m10), (_('DIAMOND(100) orthogonal'), _('diamond'), True, False, _surf.diamond100), (_('DIAMOND(111) non-orthogonal'), _('diamond'), False, True, _surf.diamond111), ] py_template = """ from ase.lattice.surface import %(func)s atoms = %(func)s(symbol='%(symbol)s', size=%(size)s, a=%(a).3f, vacuum=%(vacuum).3f%(orthoarg)s) """ class SetupSurfaceSlab(SetupWindow): """Window for setting up a surface.""" def __init__(self, gui): SetupWindow.__init__(self) self.set_title(_("Surface")) self.atoms = None vbox = gtk.VBox() # Intoductory text self.packtext(vbox, introtext) # Choose the element label = gtk.Label(_("Element: ")) element = gtk.Entry(max=3) self.element = element self.elementinfo = gtk.Label("") pack(vbox, [label, element, self.elementinfo]) self.element.connect('activate', self.update) self.legal_element = False # Choose the surface structure label = gtk.Label(_("Structure: ")) self.structchoice = gtk.combo_box_new_text() self.surfinfo = {} for s in surfaces: assert len(s) == 5 self.structchoice.append_text(s[0]) self.surfinfo[s[0]] = s pack(vbox, [label, self.structchoice]) self.structchoice.connect('changed', self.update) # Choose the lattice constant tbl = gtk.Table(2, 3) label = gtk.Label(_("Lattice constant: ")) tbl.attach(label, 0, 1, 0, 1) vbox2 = gtk.VBox() # For the non-HCP stuff self.vbox_hcp = gtk.VBox() # For the HCP stuff. self.lattice_const = gtk.Adjustment(3.0, 0.0, 1000.0, 0.01) lattice_box = gtk.SpinButton(self.lattice_const, 10.0, 3) lattice_box.numeric = True pack(vbox2, [gtk.Label(_("a:")), lattice_box, gtk.Label(_("Ã…"))]) tbl.attach(vbox2, 1, 2, 0, 1) lattice_button = gtk.Button(_("Get from database")) tbl.attach(lattice_button, 2, 3, 0, 1) # HCP stuff self.hcp_ideal = (8.0/3)**(1.0/3) self.lattice_const_c = gtk.Adjustment(self.lattice_const.value * self.hcp_ideal, 0.0, 1000.0, 0.01) lattice_box_c = gtk.SpinButton(self.lattice_const_c, 10.0, 3) lattice_box_c.numeric = True pack(self.vbox_hcp, [gtk.Label("c:"), lattice_box_c, gtk.Label("Ã…")]) self.hcp_c_over_a_format = "c/a: %.3f " + _("(%.1f %% of ideal)") self.hcp_c_over_a_label = gtk.Label(self.hcp_c_over_a_format % \ (self.hcp_ideal, 100.0)) pack(self.vbox_hcp, [self.hcp_c_over_a_label]) tbl.attach(self.vbox_hcp, 1, 2, 1, 2) tbl.show_all() pack(vbox, [tbl]) self.lattice_const.connect('value-changed', self.update) self.lattice_const_c.connect('value-changed', self.update) lattice_button.connect('clicked', self.get_lattice_const) pack(vbox, gtk.Label("")) # System size self.size = [gtk.Adjustment(1, 1, 100, 1) for i in range(3)] buttons = [gtk.SpinButton(s, 0, 0) for s in self.size] self.vacuum = gtk.Adjustment(10.0, 0, 100.0, 0.1) vacuum_box = gtk.SpinButton(self.vacuum, 0.0, 1) pack(vbox, [gtk.Label(_("Size: \tx: ")), buttons[0], gtk.Label(_(" unit cells"))]) pack(vbox, [gtk.Label(_("\t\ty: ")), buttons[1], gtk.Label(_(" unit cells"))]) pack(vbox, [gtk.Label(_(" \t\tz: ")), buttons[2], gtk.Label(_(" layers, ")), vacuum_box, gtk.Label(_(" Ã… vacuum"))]) self.nosize = _("\t\tNo size information yet.") self.sizelabel = gtk.Label(self.nosize) pack(vbox, [self.sizelabel]) for s in self.size: s.connect('value-changed', self.update) self.vacuum.connect('value-changed', self.update) pack(vbox, gtk.Label("")) # Buttons self.pybut = PyButton(_("Creating a surface slab.")) self.pybut.connect('clicked', self.update) buts = cancel_apply_ok(cancel=lambda widget: self.destroy(), apply=self.apply, ok=self.ok) pack(vbox, [self.pybut, buts], end=True, bottom=True) self.add(vbox) vbox.show() self.show() self.gui = gui # Hide the HCP stuff to begin with. self.vbox_hcp.hide_all() # update_element inherited from SetupWindow def update(self, *args): "Called when something has changed." struct = self.structchoice.get_active_text() if struct: structinfo = self.surfinfo[struct] if structinfo[1] == 'hcp': self.vbox_hcp.show_all() ca = self.lattice_const_c.value / self.lattice_const.value self.hcp_c_over_a_label.set_text(self.hcp_c_over_a_format % (ca, 100 * ca / self.hcp_ideal)) else: self.vbox_hcp.hide_all() # Abort if element or structure is invalid if not (self.update_element() and struct): self.sizelabel.set_text(self.nosize) self.atoms = None self.pybut.python = None return False # Make the atoms assert self.legal_element kw = {} kw2 = {} if structinfo[3]: # Support othogonal keyword? kw['orthogonal'] = structinfo[2] kw2['orthoarg'] = ', orthogonal=' + str(kw['orthogonal']) else: kw2['orthoarg'] = '' kw2['func'] = structinfo[4].__name__ kw['symbol'] = self.legal_element kw['size'] = [int(s.value) for s in self.size] kw['a'] = self.lattice_const.value kw['vacuum'] = self.vacuum.value # Now create the atoms try: self.atoms = structinfo[4](**kw) except ValueError, e: # The values were illegal - for example some size # constants must be even for some structures. self.pybut.python = None self.atoms = None self.sizelabel.set_text(str(e).replace(". ", ".\n")) return False kw2.update(kw) self.pybut.python = py_template % kw2 # Find the heights of the unit cell h = np.zeros(3) uc = self.atoms.get_cell() for i in range(3): norm = np.cross(uc[i-1], uc[i-2]) norm /= np.sqrt(np.dot(norm, norm)) h[i] = np.abs(np.dot(norm, uc[i])) natoms = len(self.atoms) txt = ("\t\t%.2f Ã… x %.2f Ã… x %.2f Ã…, %s" % (h[0], h[1], h[2], _('%i atoms.') % natoms)) self.sizelabel.set_text(txt) return True def get_lattice_const(self, *args): if not self.update_element(): oops(_("Invalid element.")) return z = ase.atomic_numbers[self.legal_element] ref = ase.data.reference_states[z] surface = self.structchoice.get_active_text() if not surface: oops(_("No structure specified!")) return struct = self.surfinfo[surface][1] if ref is None or ref['symmetry'] != struct: from ase.data.alternatives import alternative_structures alt = alternative_structures[z] if alt and alt['symmetry'] == struct: ref = alt else: oops(_('%(struct)s lattice constant unknown for %(element)s.') % dict(struct=struct.upper(), element=self.legal_element)) a = ref['a'] self.lattice_const.set_value(a) if struct == 'hcp': c = ref['c/a'] * a self.lattice_const_c.set_value(c) def apply(self, *args): self.update() if self.atoms is not None: self.gui.new_atoms(self.atoms) return True else: oops(_("No valid atoms."), _("You have not (yet) specified " "a consistent set of parameters.")) return False def ok(self, *args): if self.apply(): self.destroy() python-ase-3.6.0.2515/ase/gui/gtkexcepthook.py0000644000175400017540000001506711706276516020011 0ustar askhlaskhl# vim: sw=4 ts=4: # # (c) 2003 Gustavo J A M Carneiro gjc at inescporto.pt # 2004-2005 Filip Van Raemdonck # # http://www.daa.com.au/pipermail/pygtk/2003-August/005775.html # Message-ID: <1062087716.1196.5.camel@emperor.homelinux.net> # "The license is whatever you want." # # This file was downloaded from http://www.sysfs.be/downloads/ # Minor adaptions 2009 by Martin Renold: # - let KeyboardInterrupt through # - print traceback to stderr before showing the dialog # - nonzero exit code when hitting the "quit" button # - suppress more dialogs while one is already active # see also http://faq.pygtk.org/index.py?req=show&file=faq20.010.htp # (The license is still whatever you want.) import inspect, linecache, pydoc, sys, traceback from cStringIO import StringIO from gettext import gettext as _ from smtplib import SMTP import pygtk pygtk.require ('2.0') import gtk, pango def analyse_simple (exctyp, value, tb): trace = StringIO() traceback.print_exception (exctyp, value, tb, None, trace) return trace def lookup (name, frame, lcls): '''Find the value for a given name in the given frame''' if name in lcls: return 'local', lcls[name] elif name in frame.f_globals: return 'global', frame.f_globals[name] elif '__builtins__' in frame.f_globals: builtins = frame.f_globals['__builtins__'] if type (builtins) is dict: if name in builtins: return 'builtin', builtins[name] else: if hasattr (builtins, name): return 'builtin', getattr (builtins, name) return None, [] def analyse (exctyp, value, tb): import tokenize, keyword trace = StringIO() nlines = 3 frecs = inspect.getinnerframes (tb, nlines) trace.write ('Traceback (most recent call last):\n') for frame, fname, lineno, funcname, context, cindex in frecs: trace.write (' File "%s", line %d, ' % (fname, lineno)) args, varargs, varkw, lcls = inspect.getargvalues (frame) def readline (lno=[lineno], *args): if args: print args try: return linecache.getline (fname, lno[0]) finally: lno[0] += 1 all, prev, name, scope = {}, None, '', None for ttype, tstr, stup, etup, line in tokenize.generate_tokens (readline): if ttype == tokenize.NAME and tstr not in keyword.kwlist: if name: if name[-1] == '.': try: val = getattr (prev, tstr) except AttributeError: # XXX skip the rest of this identifier only break name += tstr else: assert not name and not scope scope, val = lookup (tstr, frame, lcls) name = tstr if hasattr(val, "shape") and len(val): prev = val elif val: prev = val #print ' found', scope, 'name', name, 'val', val, 'in', prev, 'for token', tstr elif tstr == '.': if prev: name += '.' else: if name: all[name] = (scope, prev) prev, name, scope = None, '', None if ttype == tokenize.NEWLINE: break trace.write (funcname + inspect.formatargvalues (args, varargs, varkw, lcls, formatvalue=lambda v: '=' + pydoc.text.repr (v)) + '\n') trace.write (''.join ([' ' + x.replace ('\t', ' ') for x in filter (lambda a: a.strip(), context)])) if len (all): trace.write (' variables: %s\n' % str (all)) trace.write ('%s: %s' % (exctyp.__name__, value)) return trace def _info (exctyp, value, tb): global exception_dialog_active if exctyp is KeyboardInterrupt: return original_excepthook(exctyp, value, tb) sys.stderr.write(analyse_simple (exctyp, value, tb).getvalue()) if exception_dialog_active: return gtk.gdk.pointer_ungrab() gtk.gdk.keyboard_ungrab() exception_dialog_active = True trace = None dialog = gtk.MessageDialog (parent=None, flags=0, type=gtk.MESSAGE_WARNING, buttons=gtk.BUTTONS_NONE) dialog.set_title(_("Bug Detected")) if gtk.check_version (2, 4, 0) is not None: dialog.set_has_separator (False) primary = "%s" % _("A programming error has been " "detected.") primary += '\n\n'+str(value)+'' secondary = _("It probably isn't fatal, but the details should be " "reported to the developers nonetheless.") try: setsec = dialog.format_secondary_text except AttributeError: raise dialog.vbox.get_children()[0].get_children()[1].set_markup ('%s\n\n%s' % (primary, secondary)) #lbl.set_property ("use-markup", True) else: del setsec dialog.set_markup (primary) dialog.format_secondary_text (secondary) try: email = feedback dialog.add_button(_("Report..."), 3) except NameError: # could ask for an email address instead... pass dialog.add_button (_("Details..."), 2) dialog.add_button (gtk.STOCK_CLOSE, gtk.RESPONSE_CLOSE) dialog.add_button (gtk.STOCK_QUIT, 1) while True: resp = dialog.run() if resp == 3: if trace == None: trace = analyse (exctyp, value, tb) # TODO: prettyprint, deal with problems in sending feedback, &tc try: server = smtphost except NameError: server = 'localhost' message = _('From: buggy_application"\nTo: bad_programmer\nSubject: Exception feedback\n\n%s') % trace.getvalue() s = SMTP() s.connect (server) s.sendmail (email, (email,), message) s.quit() break elif resp == 2: if trace == None: trace = analyse (exctyp, value, tb) # Show details... details = gtk.Dialog (_("Bug Details"), dialog, gtk.DIALOG_MODAL | gtk.DIALOG_DESTROY_WITH_PARENT, (gtk.STOCK_CLOSE, gtk.RESPONSE_CLOSE, )) details.set_property ("has-separator", False) textview = gtk.TextView(); textview.show() textview.set_editable (False) textview.modify_font (pango.FontDescription ("Monospace")) sw = gtk.ScrolledWindow(); sw.show() sw.set_policy (gtk.POLICY_AUTOMATIC, gtk.POLICY_AUTOMATIC) sw.add (textview) details.vbox.add (sw) textbuffer = textview.get_buffer() textbuffer.set_text (trace.getvalue()) monitor = gtk.gdk.screen_get_default ().get_monitor_at_window (dialog.window) area = gtk.gdk.screen_get_default ().get_monitor_geometry (monitor) try: w = area.width // 1.6 h = area.height // 1.6 except SyntaxError: # python < 2.2 w = area.width / 1.6 h = area.height / 1.6 details.set_default_size (int (w), int (h)) details.run() details.destroy() elif resp == 1 and gtk.main_level() > 0: #gtk.main_quit() - why...? Exit code 0 is bad for IDEs. sys.exit(1) break else: break dialog.destroy() exception_dialog_active = False original_excepthook = sys.excepthook sys.excepthook = _info exception_dialog_active = False if __name__ == '__main__': class X (object): pass x = X() x.y = 'Test' x.z = x w = ' e' #feedback = 'developer@bigcorp.comp' #smtphost = 'mx.bigcorp.comp' 1, x.z.y, f, w raise Exception (x.z.y + w) python-ase-3.6.0.2515/ase/gui/neb.py0000644000175400017540000000125711207220276015656 0ustar askhlaskhl# -*- coding: utf-8 -*- from math import sqrt import numpy as np from ase.neb import fit0 def NudgedElasticBand(images): N = images.repeat.prod() natoms = images.natoms // N R = images.P[:, :natoms] E = images.E F = images.F[:, :natoms] s, E, Sfit, Efit, lines = fit0(E, F, R) import pylab import matplotlib #matplotlib.use('GTK') pylab.ion() x = 2.95 pylab.figure(figsize=(x * 2.5**0.5, x)) pylab.plot(s, E, 'o') for x, y in lines: pylab.plot(x, y, '-g') pylab.plot(Sfit, Efit, 'k-') pylab.xlabel(u'path [Ã…]') pylab.ylabel(u'energy [eV]') pylab.title('Maximum: %.3f eV' % max(Efit)) pylab.show() python-ase-3.6.0.2515/ase/gui/movie.py0000644000175400017540000001100011712043160016210 0ustar askhlaskhl#!/usr/bin/env python import gtk from gettext import gettext as _ import gobject from ase.gui.widgets import pack class Movie(gtk.Window): def __init__(self, gui): gtk.Window.__init__(self) self.set_position(gtk.WIN_POS_NONE) self.connect('destroy', self.close) #self.connect('delete_event', self.exit2) self.set_title(_('Movie')) vbox = gtk.VBox() pack(vbox, gtk.Label(_('Image number:'))) self.frame_number = gtk.Adjustment(gui.frame, 0, gui.images.nimages - 1, 1.0, 5.0) self.frame_number.connect('value-changed', self.new_frame) hscale = pack(vbox, gtk.HScale(self.frame_number)) hscale.set_update_policy(gtk.UPDATE_CONTINUOUS) hscale.set_digits(0) buttons = [gtk.Button(stock=gtk.STOCK_GOTO_FIRST), gtk.Button(stock=gtk.STOCK_GO_BACK), gtk.Button(stock=gtk.STOCK_GO_FORWARD), gtk.Button(stock=gtk.STOCK_GOTO_LAST)] buttons[0].connect('clicked', self.click, -1, True) buttons[1].connect('clicked', self.click, -1) buttons[2].connect('clicked', self.click, 1) buttons[3].connect('clicked', self.click, 1, True) pack(vbox, buttons) play = gtk.Button(_('Play')) play.connect('clicked', self.play) stop = gtk.Button(_('Stop')) stop.connect('clicked', self.stop) # TRANSLATORS: This function plays an animation forwards and backwards # alternatingly, e.g. for displaying vibrational movement self.rock = gtk.CheckButton(_('Rock')) pack(vbox, [play, stop, gtk.Label(' '), self.rock]) if gui.images.nimages > 150: skipdefault = gui.images.nimages/150 tdefault = min(max(gui.images.nimages/(skipdefault*5.0), 1.0), 30) else: skipdefault = 0 tdefault = min(max(gui.images.nimages/5.0, 1.0), 30) self.time = gtk.Adjustment(tdefault, 1.0, 99, 0.1) self.time_spin = gtk.SpinButton(self.time, 0, 0) self.time_spin.set_digits(1) self.time.connect("value-changed",self.frame_rate_changed) self.skip = gtk.Adjustment(skipdefault, 0, 99, 1) self.skip_spin = gtk.SpinButton(self.skip, 0, 0) pack(vbox, [gtk.Label(_(' Frame rate: ')), self.time_spin, gtk.Label(_(' Skip frames: ')), self.skip_spin, gtk.Label(' ')]) self.add(vbox) vbox.show() self.show() self.gui = gui #gui.m=self self.direction = 1 self.id = None gui.register_vulnerable(self) def notify_atoms_changed(self): "Called by gui object when the atoms have changed." self.destroy() def close(self, event): self.stop() def click(self, button, step, firstlast=False): if firstlast and step < 0: i = 0 elif firstlast: i = self.gui.images.nimages - 1 else: i = max(0, min(self.gui.images.nimages - 1, self.gui.frame + step)) self.gui.set_frame(i) self.frame_number.value = i if firstlast: self.direction = cmp(-step, 0) else: self.direction = cmp(step, 0) def new_frame(self, widget): self.gui.set_frame(int(self.frame_number.value)) def play(self, widget=None): if self.id is not None: gobject.source_remove(self.id) t = int(1000.0 / float(self.time.value)) self.id = gobject.timeout_add(t, self.step) def stop(self, widget=None): if self.id is not None: gobject.source_remove(self.id) self.id = None def frame_rate_changed(self,widget=None): if self.id is not None: self.play() def step(self): i = self.gui.frame nimages = self.gui.images.nimages delta = int(self.skip.value + 1) if self.rock.get_active(): if i <= self.skip.value: self.direction = 1 elif i >= nimages - delta: self.direction = -1 i += self.direction * delta else: i = (i + self.direction * delta + nimages) % nimages self.gui.set_frame(i) self.frame_number.value = i return True def new_time(self, widget): if self.id is not None: self.play() if __name__ == '__main__': import os os.system('python gui.py') python-ase-3.6.0.2515/ase/gui/crystal.py0000644000175400017540000005445311706276516016615 0ustar askhlaskhl# encoding: utf-8 """crystal.py - Window for setting up arbitrary crystal lattices """ import gtk from gettext import gettext as _ from ase.gui.widgets import pack, cancel_apply_ok, oops from ase.gui.pybutton import PyButton from ase.gui.setupwindow import SetupWindow from ase.gui.status import formula from ase.lattice.spacegroup import crystal, Spacegroup import ase import numpy as np introtext = _("""\ Use this dialog to create crystal lattices. First select the structure, either from a set of common crystal structures, or by space group description. Then add all other lattice parameters. If an experimental crystal structure is available for an atom, you can look up the crystal type and lattice constant, otherwise you have to specify it yourself. """) py_template = """ from ase.lattice.spacegroup.crystal import crystal atoms = crystal(spacegroup=%(spacegroup)d, symbols=%(symbols)s, basis=%(basis)s, cellpar=%(cellpar)s) """ label_template = _(""" %(natoms)i atoms: %(symbols)s, Volume: %(volume).3f A3""") # all predefined crystals go into tuples here: # (selection name, spacegroup, group_active, [repeats], [a,b,c,alpha,beta,gamma],[lattice constraints],[constraints_active],basis) crystal_definitions = [('Spacegroup', 1, True, [1,1,1], [3.0, 3.0, 3.0, 90.0, 90.0, 90.0], [0,0,0,0,0,0], [ True, True, True, True, True, True], [['','','','']]), ('fcc', 225, False, [1,1,1], [3.0, 3.0, 3.0, 90.0, 90.0, 90.0], [0,1,1,3,3,3], [False,False,False,False,False,False], [['','','','']]), ('bcc', 229, False, [1,1,1], [3.0, 3.0, 3.0, 90.0, 90.0, 90.0], [0,1,1,3,3,3], [False,False,False,False,False,False], [['','','','']]), ('diamond', 227, False, [1,1,1], [3.0, 3.0, 3.0, 90.0, 90.0, 90.0], [0,1,1,3,3,3], [False,False,False,False,False,False], [['','','','']]), ('hcp', 194, False, [1,1,1], [3.0, 3.0, 3.0, 90.0, 90.0, 120.0], [0,1,0,3,3,3], [False,False,False,False,False,False], [['','1./3.','2./3.','3./4.']]), ('graphite', 186, False, [1,1,1], [3.0, 3.0, 3.0, 90.0, 90.0, 120.0], [0,1,0,3,3,3], [False,False,False,False,False,False], [['','0','0','0'],['','1./3.','2./3.','0']]), ('rocksalt', 225, False, [1,1,1], [3.0, 3.0, 3.0, 90.0, 90.0, 90.0], [0,1,1,3,3,3], [False,False,False,False,False,False], [['','0','0','0'],['','0.5','0.5','0.5']]), ('rutile', 136, False, [1,1,1], [3.0, 3.0, 3.0, 90.0, 90.0, 90.0], [0,1,0,3,3,3], [False,False,False,False,False,False], [['','0','0','0'],['O','0.3','0.3','0' ]])] class SetupBulkCrystal(SetupWindow): """Window for setting up a surface.""" def __init__(self, gui): SetupWindow.__init__(self) self.set_title(_("Create Bulk Crystal by Spacegroup")) self.atoms = None vbox = gtk.VBox() self.packtext(vbox, introtext) self.structinfo = gtk.combo_box_new_text() self.structures = {} for c in crystal_definitions: self.structinfo.append_text(c[0]) self.structures[c[0]] = c self.structinfo.set_active(0) self.structinfo.connect("changed",self.set_lattice_type) self.spacegroup = gtk.Entry(max=14) self.spacegroup.set_text('P 1') self.elementinfo = gtk.Label("") self.spacegroupinfo = gtk.Label(_('Number: 1')) pack(vbox,[gtk.Label(_("Lattice: ")),self.structinfo,gtk.Label(_("\tSpace group: ")),self.spacegroup,gtk.Label(' '),self.spacegroupinfo,gtk.Label(' '),self.elementinfo]) pack(vbox,[gtk.Label("")]) self.size = [gtk.Adjustment(1, 1, 100, 1) for i in range(3)] buttons = [gtk.SpinButton(s, 0, 0) for s in self.size] pack(vbox, [gtk.Label(_("Size: x: ")), buttons[0], gtk.Label(_(" y: ")), buttons[1], gtk.Label(_(" z: ")), buttons[2], gtk.Label(_(" unit cells"))]) pack(vbox,[gtk.Label("")]) self.lattice_lengths = [gtk.Adjustment(3.0, 0.0, 1000.0, 0.01) for i in range(3)] self.lattice_angles = [gtk.Adjustment(90.0,0.0, 180.0, 1) for i in range(3)] self.lattice_lbuts = [gtk.SpinButton(self.lattice_lengths[i], 0, 0) for i in range(3)] self.lattice_abuts = [gtk.SpinButton(self.lattice_angles[i] , 0, 0) for i in range(3)] for i in self.lattice_lbuts: i.set_digits(5) for i in self.lattice_abuts: i.set_digits(3) self.lattice_lequals = [gtk.combo_box_new_text() for i in range(3)] self.lattice_aequals = [gtk.combo_box_new_text() for i in range(3)] self.lattice_lequals[0].append_text(_('free')) self.lattice_lequals[0].append_text(_('equals b')) self.lattice_lequals[0].append_text(_('equals c')) self.lattice_lequals[0].append_text(_('fixed')) self.lattice_lequals[1].append_text(_('free')) self.lattice_lequals[1].append_text(_('equals a')) self.lattice_lequals[1].append_text(_('equals c')) self.lattice_lequals[1].append_text(_('fixed')) self.lattice_lequals[2].append_text(_('free')) self.lattice_lequals[2].append_text(_('equals a')) self.lattice_lequals[2].append_text(_('equals b')) self.lattice_lequals[2].append_text(_('fixed')) self.lattice_aequals[0].append_text(_('free')) self.lattice_aequals[0].append_text(_('equals beta')) self.lattice_aequals[0].append_text(_('equals gamma')) self.lattice_aequals[0].append_text(_('fixed')) self.lattice_aequals[1].append_text(_('free')) self.lattice_aequals[1].append_text(_('equals alpha')) self.lattice_aequals[1].append_text(_('equals gamma')) self.lattice_aequals[1].append_text(_('fixed')) self.lattice_aequals[2].append_text(_('free')) self.lattice_aequals[2].append_text(_('equals alpha')) self.lattice_aequals[2].append_text(_('equals beta')) self.lattice_aequals[2].append_text(_('fixed')) for i in range(3): self.lattice_lequals[i].set_active(0) self.lattice_aequals[i].set_active(0) pack(vbox,[gtk.Label(_('Lattice parameters'))]) pack(vbox,[gtk.Label(_('\t\ta:\t')) , self.lattice_lbuts[0],gtk.Label(' '),self.lattice_lequals[0], gtk.Label(_('\talpha:\t')), self.lattice_abuts[0],gtk.Label(' '),self.lattice_aequals[0]]) pack(vbox,[gtk.Label(_('\t\tb:\t')) , self.lattice_lbuts[1],gtk.Label(' '),self.lattice_lequals[1], gtk.Label(_('\tbeta:\t')) , self.lattice_abuts[1],gtk.Label(' '),self.lattice_aequals[1]]) pack(vbox,[gtk.Label(_('\t\tc:\t')) , self.lattice_lbuts[2],gtk.Label(' '),self.lattice_lequals[2], gtk.Label(_('\tgamma:\t')), self.lattice_abuts[2],gtk.Label(' '),self.lattice_aequals[2]]) self.get_data = gtk.Button(_("Get from database")) self.get_data.connect("clicked", self.get_from_database) self.get_data.set_sensitive(False) pack(vbox,[gtk.Label(" "),self.get_data]) pack(vbox,[gtk.Label("")]) pack(vbox,[gtk.Label(_("Basis: "))]) self.elements = [[gtk.Entry(max=3),gtk.Entry(max=8),gtk.Entry(max=8),gtk.Entry(max=8),True]] self.element = self.elements[0][0] add_atom = gtk.Button(stock = gtk.STOCK_ADD) add_atom.connect("clicked",self.add_basis_atom) add_atom.connect("activate",self.add_basis_atom) pack(vbox,[gtk.Label(_(' Element:\t')),self.elements[0][0],gtk.Label(_('\tx: ')), self.elements[0][1],gtk.Label(_(' y: ')),self.elements[0][2], gtk.Label(_(' z: ')),self.elements[0][3],gtk.Label('\t'),add_atom]) self.vbox_basis = gtk.VBox() swin = gtk.ScrolledWindow() swin.set_border_width(0) swin.set_policy(gtk.POLICY_AUTOMATIC, gtk.POLICY_AUTOMATIC) vbox.pack_start(swin, True, True, 0) swin.add_with_viewport(self.vbox_basis) self.vbox_basis.get_parent().set_shadow_type(gtk.SHADOW_NONE) self.vbox_basis.get_parent().set_size_request(-1, 100) swin.show() pack(self.vbox_basis,[gtk.Label('')]) pack(vbox,[self.vbox_basis]) self.vbox_basis.show() pack(vbox,[gtk.Label("")]) self.status = gtk.Label("") pack(vbox,[self.status]) pack(vbox,[gtk.Label("")]) self.pybut = PyButton(_("Creating a crystal.")) self.pybut.connect('clicked', self.update) clear = gtk.Button(stock = gtk.STOCK_CLEAR) clear.connect("clicked", self.clear) buts = cancel_apply_ok(cancel=lambda widget: self.destroy(), apply=self.apply, ok=self.ok) pack(vbox, [self.pybut, clear, buts], end=True, bottom=True) self.structinfo.connect("changed", self.update) self.spacegroup.connect("activate", self.update) for s in self.size: s.connect("value-changed",self.update) for el in self.elements: if el[-1]: for i in el[:-1]: i.connect("activate", self.update) i.connect("changed", self.update) for i in range(3): self.lattice_lbuts[i].connect("value-changed", self.update) self.lattice_abuts[i].connect("value-changed", self.update) self.lattice_lequals[i].connect("changed", self.update) self.lattice_aequals[i].connect("changed", self.update) self.clearing_in_process = False self.gui = gui self.add(vbox) vbox.show() self.show() def update(self, *args): """ all changes of physical constants are handled here, atoms are set up""" if self.clearing_in_process: return True self.update_element() a_equals = self.lattice_lequals[0].get_active() b_equals = self.lattice_lequals[1].get_active() c_equals = self.lattice_lequals[2].get_active() alpha_equals = self.lattice_aequals[0].get_active() beta_equals = self.lattice_aequals[1].get_active() gamma_equals = self.lattice_aequals[2].get_active() sym = self.spacegroup.get_text() valid = True try: no = int(sym) spg = Spacegroup(no).symbol self.spacegroupinfo.set_label(_('Symbol: %s') % str(spg)) spg = no except: try: no = Spacegroup(sym).no self.spacegroupinfo.set_label(_('Number: %s') % str(no)) spg = no except: self.spacegroupinfo.set_label(_('Invalid Spacegroup!')) valid = False if a_equals == 0: self.lattice_lbuts[0].set_sensitive(True) elif a_equals == 1: self.lattice_lbuts[0].set_sensitive(False) self.lattice_lbuts[0].set_value(self.lattice_lbuts[1].get_value()) elif a_equals == 2: self.lattice_lbuts[0].set_sensitive(False) self.lattice_lbuts[0].set_value(self.lattice_lbuts[2].get_value()) else: self.lattice_lbuts[0].set_sensitive(False) if b_equals == 0: self.lattice_lbuts[1].set_sensitive(True) elif b_equals == 1: self.lattice_lbuts[1].set_sensitive(False) self.lattice_lbuts[1].set_value(self.lattice_lbuts[0].get_value()) elif b_equals == 2: self.lattice_lbuts[1].set_sensitive(False) self.lattice_lbuts[1].set_value(self.lattice_lbuts[2].get_value()) else: self.lattice_lbuts[1].set_sensitive(False) if c_equals == 0: self.lattice_lbuts[2].set_sensitive(True) elif c_equals == 1: self.lattice_lbuts[2].set_sensitive(False) self.lattice_lbuts[2].set_value(self.lattice_lbuts[0].get_value()) elif c_equals == 2: self.lattice_lbuts[2].set_sensitive(False) self.lattice_lbuts[2].set_value(self.lattice_lbuts[1].get_value()) else: self.lattice_lbuts[2].set_sensitive(False) if alpha_equals == 0: self.lattice_abuts[0].set_sensitive(True) elif alpha_equals == 1: self.lattice_abuts[0].set_sensitive(False) self.lattice_abuts[0].set_value(self.lattice_abuts[1].get_value()) elif alpha_equals == 2: self.lattice_abuts[0].set_sensitive(False) self.lattice_abuts[0].set_value(self.lattice_abuts[2].get_value()) else: self.lattice_abuts[0].set_sensitive(False) if beta_equals == 0: self.lattice_abuts[1].set_sensitive(True) elif beta_equals == 1: self.lattice_abuts[1].set_sensitive(False) self.lattice_abuts[1].set_value(self.lattice_abuts[0].get_value()) elif beta_equals == 2: self.lattice_abuts[1].set_sensitive(False) self.lattice_abuts[1].set_value(self.lattice_abuts[2].get_value()) else: self.lattice_abuts[1].set_sensitive(False) if gamma_equals == 0: self.lattice_abuts[2].set_sensitive(True) elif gamma_equals == 1: self.lattice_abuts[2].set_sensitive(False) self.lattice_abuts[2].set_value(self.lattice_abuts[0].get_value()) elif gamma_equals == 2: self.lattice_abuts[2].set_sensitive(False) self.lattice_abuts[2].set_value(self.lattice_abuts[1].get_value()) else: self.lattice_abuts[2].set_sensitive(False) valid = len(self.elements[0][0].get_text()) and valid self.get_data.set_sensitive(valid and self.get_n_elements() == 1 and self.update_element()) self.atoms = None if valid: basis_count = -1 for el in self.elements: if el[-1]: basis_count += 1 if basis_count: symbol_str = '[' basis_str = "[" symbol = [] basis = [] else: symbol_str = '' basis_str = '' basis = None for el in self.elements: if el[-1]: symbol_str += "'"+el[0].get_text()+"'" if basis_count: symbol_str += ',' symbol += [el[0].get_text()] exec 'basis += [[float('+el[1].get_text()+'),float('+el[2].get_text()+'),float('+el[3].get_text()+')]]' else: symbol = el[0].get_text() exec 'basis = [[float('+el[1].get_text()+'),float('+el[2].get_text()+'),float('+el[3].get_text()+')]]' basis_str += '['+el[1].get_text()+','+el[2].get_text()+','+el[3].get_text()+'],' basis_str = basis_str[:-1] if basis_count: symbol_str = symbol_str[:-1]+']' basis_str += ']' size_str = '('+str(int(self.size[0].get_value()))+','+str(int(self.size[1].get_value()))+','+str(int(self.size[2].get_value()))+')' size = (int(self.size[0].get_value()),int(self.size[1].get_value()),int(self.size[2].get_value())) cellpar_str = '' cellpar = [] for i in self.lattice_lbuts: cellpar_str += str(i.get_value())+',' cellpar += [i.get_value()] for i in self.lattice_abuts: cellpar_str += str(i.get_value())+',' cellpar += [i.get_value()] cellpar_str = '['+cellpar_str[:-1]+']' args = {'symbols' : symbol, 'basis' : basis, 'size' : size, 'spacegroup' : spg, 'cellpar' : cellpar} args_str = {'symbols' : symbol_str, 'basis' : basis_str, 'size' : size_str, 'spacegroup' : spg, 'cellpar' : cellpar_str} self.pybut.python = py_template % args_str try: self.atoms = crystal(**args) label = label_template % {'natoms' : self.atoms.get_number_of_atoms(), 'symbols' : formula(self.atoms.get_atomic_numbers()), 'volume' : self.atoms.get_volume()} self.status.set_label(label) except: self.atoms = None self.status.set_markup(_("Please specify a consistent set of atoms.")) else: self.atoms = None self.status.set_markup(_("Please specify a consistent set of atoms.")) def apply(self, *args): """ create gui atoms from currently active atoms""" self.update() if self.atoms is not None: self.gui.new_atoms(self.atoms) return True else: oops(_("No valid atoms.", "You have not (yet) specified a consistent set of " "parameters.")) return False def ok(self, *args): if self.apply(): self.destroy() def add_basis_atom(self,*args): """ add an atom to the customizable basis """ n = len(self.elements) self.elements += [[gtk.Entry(max=3),gtk.Entry(max=8),gtk.Entry(max=8),gtk.Entry(max=8), gtk.Label('\t\t\t'),gtk.Label('\tx: '),gtk.Label(' y: '), gtk.Label(' z: '),gtk.Label(' '), gtk.Button(stock=gtk.STOCK_DELETE),True]] self.elements[n][-2].connect("clicked",self.delete_basis_atom,{'n':n}) pack(self.vbox_basis,[self.elements[n][4],self.elements[n][0],self.elements[n][5], self.elements[n][1],self.elements[n][6],self.elements[n][2], self.elements[n][7],self.elements[n][3],self.elements[n][8], self.elements[n][9]]) self.update() def delete_basis_atom(self, button, index, *args): """ delete atom index from customizable basis""" n = index['n'] self.elements[n][-1] = False for i in range(10): self.elements[n][i].destroy() self.update() def get_n_elements(self): """ counts how many basis atoms are actually active """ n = 0 for el in self.elements: if el[-1]: n += 1 return n def clear(self, *args): """ reset to original state """ self.clearing_in_process = True self.clear_lattice() self.structinfo.set_active(0) self.set_lattice_type() self.clearing_in_process = False self.update() def clear_lattice(self, *args): """ delete all custom settings """ self.atoms = None if len(self.elements) > 1: for n, el in enumerate(self.elements[1:]): self.elements[n+1][-1] = False for i in range(10): self.elements[n+1][i].destroy() for i in range(4): self.elements[0][i].set_text("") self.spacegroup.set_sensitive(True) for i in self.lattice_lbuts: i.set_sensitive(True) for i in self.lattice_abuts: i.set_sensitive(True) for i in range(3): self.lattice_lequals[i].set_sensitive(True) self.lattice_aequals[i].set_sensitive(True) self.lattice_lequals[i].set_active(0) self.lattice_aequals[i].set_active(0) for s in self.size: s.set_value(1) def set_lattice_type(self, *args): """ set defaults from original """ self.clearing_in_process = True self.clear_lattice() lattice = crystal_definitions[self.structinfo.get_active()] self.spacegroup.set_text(str(lattice[1])) self.spacegroup.set_sensitive(lattice[2]) for s, i in zip(self.size,lattice[3]): s.set_value(i) self.lattice_lbuts[0].set_value(lattice[4][0]) self.lattice_lbuts[1].set_value(lattice[4][1]) self.lattice_lbuts[2].set_value(lattice[4][2]) self.lattice_abuts[0].set_value(lattice[4][3]) self.lattice_abuts[1].set_value(lattice[4][4]) self.lattice_abuts[2].set_value(lattice[4][5]) self.lattice_lequals[0].set_active(lattice[5][0]) self.lattice_lequals[1].set_active(lattice[5][1]) self.lattice_lequals[2].set_active(lattice[5][2]) self.lattice_aequals[0].set_active(lattice[5][3]) self.lattice_aequals[1].set_active(lattice[5][4]) self.lattice_aequals[2].set_active(lattice[5][5]) self.lattice_lequals[0].set_sensitive(lattice[6][0]) self.lattice_lequals[1].set_sensitive(lattice[6][1]) self.lattice_lequals[2].set_sensitive(lattice[6][2]) self.lattice_aequals[0].set_sensitive(lattice[6][3]) self.lattice_aequals[1].set_sensitive(lattice[6][4]) self.lattice_aequals[2].set_sensitive(lattice[6][5]) for n, at in enumerate(lattice[7]): l = 0 if n > 0: l = len(self.elements) self.add_basis_atom() for i, s in enumerate(at): self.elements[l][i].set_text(s) self.clearing_in_process = False self.update() def get_from_database(self, *args): element = self.elements[0][0].get_text() z = ase.atomic_numbers[self.legal_element] ref = ase.data.reference_states[z] lattice = ref['symmetry'] index = 0 while index < len(crystal_definitions) and crystal_definitions[index][0] != lattice: index += 1 if index == len(crystal_definitions) or not self.legal_element: oops(_("Can't find lattice definition!")) return False self.structinfo.set_active(index) self.lattice_lbuts[0].set_value(ref['a']) if lattice == 'hcp': self.lattice_lbuts[2].set_value(ref['c/a']*ref['a']) self.elements[0][0].set_text(element) if lattice in ['fcc', 'bcc', 'diamond']: self.elements[0][1].set_text('0') self.elements[0][2].set_text('0') self.elements[0][3].set_text('0') python-ase-3.6.0.2515/ase/gui/ag.py0000644000175400017540000001151511711330540015473 0ustar askhlaskhl#!/usr/bin/env python # Copyright 2008, 2009 # CAMd (see accompanying license files for details). import os from optparse import OptionParser, SUPPRESS_HELP import ase.gui.i18n from gettext import gettext as _ # Grrr, older versions (pre-python2.7) of optparse have a bug # which prevents non-ascii descriptions. How do we circumvent this? # For now, we'll have to use English in the command line options then. def build_parser(): parser = OptionParser(usage='%prog [options] [file[, file2, ...]]', version='%prog 0.1', description='See the online manual ' + '(https://wiki.fysik.dtu.dk/ase/ase/gui.html) ' + 'for more information.') parser.add_option('-n', '--image-number', default=':', metavar='NUMBER', help='Pick image(s) from trajectory. NUMBER can be a ' 'single number (use a negative number to count from ' 'the back) or a range: start:stop:step, where the ' '":step" part can be left out - default values are ' '0:nimages:1.') parser.add_option('-u', '--show-unit-cell', type='int', default=1, metavar='I', help="0: Don't show unit cell. 1: Show unit cell. " '2: Show all of unit cell.') parser.add_option('-r', '--repeat', default='1', help='Repeat unit cell. Use "-r 2" or "-r 2,3,1".') parser.add_option('-R', '--rotations', default='', help='Examples: "-R -90x", "-R 90z,-30x".') parser.add_option('-o', '--output', metavar='FILE', help='Write configurations to FILE.') parser.add_option('-g', '--graph', # TRANSLATORS: EXPR abbreviates 'expression' metavar='EXPR', help='Plot x,y1,y2,... graph from configurations or ' 'write data to sdtout in terminal mode. Use the ' 'symbols: i, s, d, fmax, e, ekin, A, R, E and F. See ' 'https://wiki.fysik.dtu.dk/ase/ase/gui.html' '#plotting-data for more details.') parser.add_option('-t', '--terminal', action='store_true', default=False, help='Run in terminal window - no GUI.') parser.add_option('--aneb', action='store_true', default=False, help='Read ANEB data.') parser.add_option('--interpolate', type='int', metavar='N', help='Interpolate N images between 2 given images.') parser.add_option('-b', '--bonds', action='store_true', default=False, help='Draw bonds between atoms.') return parser def main(): parser = build_parser() opt, args = parser.parse_args() try: import ase except ImportError: import sys from os.path import dirname, join, pardir sys.path.append(join(dirname(__file__), pardir)) from ase.gui.images import Images from ase.atoms import Atoms def run(opt, args): images = Images() if opt.aneb: opt.image_number = '-1' if len(args) > 0: from ase.io import string2index images.read(args, string2index(opt.image_number)) else: images.initialize([Atoms()]) if opt.interpolate: images.interpolate(opt.interpolate) if opt.aneb: images.aneb() if opt.repeat != '1': r = opt.repeat.split(',') if len(r) == 1: r = 3 * r images.repeat_images([int(c) for c in r]) if opt.output is not None: images.write(opt.output, rotations=opt.rotations, show_unit_cell=opt.show_unit_cell) opt.terminal = True if opt.terminal: if opt.graph is not None: data = images.graph(opt.graph) for line in data.T: for x in line: print x, print else: from ase.gui.gui import GUI import ase.gui.gtkexcepthook gui = GUI(images, opt.rotations, opt.show_unit_cell, opt.bonds) gui.run(opt.graph) import traceback try: run(opt, args) except KeyboardInterrupt: pass except Exception: traceback.print_exc() print(_(""" An exception occurred! Please report the issue to ase-developers@listserv.fysik.dtu.dk - thanks! Please also report this if it was a user error, so that a better error message can be provided next time.""")) python-ase-3.6.0.2515/ase/transport/0000755000175400017540000000000011757245036016016 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/transport/tools.py0000644000175400017540000003411711257142403017523 0ustar askhlaskhlimport numpy as np from math import sqrt, exp def tri2full(H_nn, UL='L'): """Fill in values of hermitian matrix. Fill values in lower or upper triangle of H_nn based on the opposite triangle, such that the resulting matrix is symmetric/hermitian. UL='U' will copy (conjugated) values from upper triangle into the lower triangle. UL='L' will copy (conjugated) values from lower triangle into the upper triangle. """ N, tmp = H_nn.shape assert N == tmp, 'Matrix must be square' #assert np.isreal(H_nn.diagonal()).all(), 'Diagonal should be real' if UL != 'L': H_nn = H_nn.T for n in range(N - 1): H_nn[n, n + 1:] = H_nn[n + 1:, n].conj() def dagger(matrix): return np.conj(matrix.T) def rotate_matrix(h, u): return np.dot(u.T.conj(), np.dot(h, u)) def get_subspace(matrix, index): """Get the subspace spanned by the basis function listed in index""" assert matrix.ndim == 2 and matrix.shape[0] == matrix.shape[1] return matrix.take(index, 0).take(index, 1) permute_matrix = get_subspace def normalize(matrix, S=None): """Normalize column vectors. :: = 1 """ for col in matrix.T: if S is None: col /= np.linalg.norm(col) else: col /= np.sqrt(np.dot(col.conj(), np.dot(S, col))) def subdiagonalize(h_ii, s_ii, index_j): nb = h_ii.shape[0] nb_sub = len(index_j) h_sub_jj = get_subspace(h_ii, index_j) s_sub_jj = get_subspace(s_ii, index_j) e_j, v_jj = np.linalg.eig(np.linalg.solve(s_sub_jj, h_sub_jj)) normalize(v_jj, s_sub_jj) # normalize: = 1 permute_list = np.argsort(e_j.real) e_j = np.take(e_j, permute_list) v_jj = np.take(v_jj, permute_list, axis=1) #setup transformation matrix c_ii = np.identity(nb, complex) for i in xrange(nb_sub): for j in xrange(nb_sub): c_ii[index_j[i], index_j[j]] = v_jj[i, j] h1_ii = rotate_matrix(h_ii, c_ii) s1_ii = rotate_matrix(s_ii, c_ii) return h1_ii, s1_ii, c_ii, e_j def cutcoupling(h, s, index_n): for i in index_n: s[:, i] = 0.0 s[i, :] = 0.0 s[i, i] = 1.0 Ei = h[i, i] h[:, i] = 0.0 h[i, :] = 0.0 h[i, i] = Ei def fermidistribution(energy, kt): #fermi level is fixed to zero return 1.0 / (1.0 + np.exp(energy / kt) ) def fliplr(a): length=len(a) b = [0] * length for i in range(length): b[i] = a[length - i - 1] return b def plot_path(energy): import pylab pylab.plot(np.real(energy), np.imag(energy), 'b--o') pylab.show() def function_integral(function, calcutype): #return the integral of the 'function' on 'intrange' #the function can be a value or a matrix, arg1,arg2 are the possible #parameters of the function intctrl = function.intctrl if calcutype == 'eqInt': intrange = intctrl.eqintpath tol = intctrl.eqinttol if hasattr(function.intctrl, 'eqpath_radius'): radius = function.intctrl.eqpath_radius else: radius = -1 if hasattr(function.intctrl, 'eqpath_origin'): origin = function.intctrl.eqpath_origin else: origin = 1000 elif calcutype == 'neInt': intrange = intctrl.neintpath tol = intctrl.neinttol radius = -1 origin = 1000 elif calcutype == 'locInt': intrange = intctrl.locintpath tol = intctrl.locinttol if hasattr(function.intctrl, 'locpath_radius'): radius = function.intctrl.locpath_radius else: radius = -1 if hasattr(function.intctrl, 'locpath_origin'): origin = function.intctrl.locpath_origin else: origin = 1000 trace = 0 a = 0. b = 1. #Initialize with 13 function evaluations. c = (a + b) / 2 h = (b - a) / 2 realmin = 2e-17 s = [.942882415695480, sqrt(2.0/3), .641853342345781, 1/sqrt(5.0), .236383199662150] s1 = [0] * len(s) s2 = [0] * len(s) for i in range(len(s)): s1[i] = c - s[i] * h s2[i] = c + fliplr(s)[i] * h x0 = [a] + s1 + [c] + s2 + [b] s0 = [.0158271919734802, .094273840218850, .155071987336585, .188821573960182, .199773405226859, .224926465333340] w0 = s0 + [.242611071901408] + fliplr(s0) w1 = [1, 0, 0, 0, 5, 0, 0, 0, 5, 0, 0, 0, 1] w2 = [77, 0, 432, 0, 625, 0, 672, 0, 625, 0, 432, 0, 77] for i in range(len(w1)): w1[i] = w1[i] / 6.0 w2[i] = w2[i] / 1470.0 dZ = [intrange[:len(intrange) - 1], intrange[1:]] hmin = [0] * len(dZ[1]) path_type = [] for i in range(len(intrange) - 1): rs = np.abs(dZ[0][i] - origin) re = np.abs(dZ[1][i] - origin) if abs(rs - radius) < 1.0e-8 and abs(re - radius) < 1.0e-8: path_type.append('half_circle') else: path_type.append('line') for i in range(len(dZ[1])): if path_type[i] == 'half_circle': dZ[0][i] = 0 dZ[1][i] = np.pi for i in range(len(dZ[1])): dZ[1][i] = dZ[1][i] - dZ[0][i] hmin[i] = realmin / 1024 * abs(dZ[1][i]) temp = np.array([[1] * 13, x0]).transpose() Zx = np.dot(temp, np.array(dZ)) Zxx = [] for i in range(len(intrange) - 1): for j in range(13): Zxx.append(Zx[j][i]) ns = 0 ne = 12 if path_type[0] == 'line': yns = function.calgfunc(Zxx[ns], calcutype) elif path_type[0] == 'half_circle': energy = origin + radius * np.exp((np.pi - Zxx[ns + i]) * 1.j) yns = -1.j * radius * np.exp(-1.j* Zxx[ns +i])* function.calgfunc(energy, calcutype) fcnt = 0 for n in range(len(intrange)-1): # below evaluate the integral and adjust the tolerance Q1pQ0 = yns * (w1[0] - w0[0]) Q2pQ0 = yns * (w2[0] - w0[0]) fcnt = fcnt + 12 for i in range(1,12): if path_type[n] == 'line': yne = function.calgfunc(Zxx[ns + i], calcutype) elif path_type[n] == 'half_circle': energy = origin + radius * np.exp((np.pi -Zxx[ns + i]) * 1.j) yne = -1.j * radius * np.exp(-1.j * Zxx[ns + i])* function.calgfunc(energy, calcutype) Q1pQ0 += yne * (w1[i] - w0[i]) Q2pQ0 += yne * (w2[i] - w0[i]) # Increase the tolerance if refinement appears to be effective r = np.abs(Q2pQ0) / (np.abs(Q1pQ0) + np.abs(realmin)) dim = np.product(r.shape) r = np.sum(r) / dim if r > 0 and r < 1: thistol = tol / r else: thistol = tol if path_type[n] == 'line': yne = function.calgfunc(Zxx[ne], calcutype) elif path_type[n] == 'half_circle': energy = origin + radius * np.exp((np.pi -Zxx[ne]) * 1.j) yne = -1.j * radius * np.exp(-1.j * Zxx[ne])* function.calgfunc(energy, calcutype) #Call the recursive core integrator Qk, xpk, wpk, fcnt, warn = quadlstep(function, Zxx[ns], Zxx[ne], yns, yne, thistol, trace, fcnt, hmin[n], calcutype, path_type[n], origin, radius) if n == 0: Q = np.copy(Qk) Xp = xpk[:] Wp = wpk[:] else: Q += Qk Xp = Xp[:-1] + xpk Wp = Wp[:-1] + [Wp[-1] + wpk[0]] + wpk[1:] if warn == 1: print 'warning: Minimum step size reached,singularity possible' elif warn == 2: print 'warning: Maximum function count excced; singularity likely' elif warn == 3: print 'warning: Infinite or Not-a-Number function value encountered' else: pass ns += 13 ne += 13 yns = np.copy(yne) return Q,Xp,Wp,fcnt def quadlstep(f, Za, Zb, fa, fb, tol, trace, fcnt, hmin, calcutype, path_type, origin, radius): #Gaussian-Lobatto and Kronrod method #QUADLSTEP Recursive core routine for integral #input parameters: # f ---------- function, here we just use the module calgfunc # to return the value, if wanna use it for # another one, change it # Za, Zb ---------- the start and end point of the integral # fa, fb ---------- the function value on Za and Zb # fcnt ---------- the number of the funtion recalled till now #output parameters: # Q ---------- integral # Xp ---------- selected points # Wp ---------- weight # fcnt ---------- the number of the function recalled till now maxfcnt = 10000 # Evaluate integrand five times in interior of subintrval [a,b] Zh = (Zb - Za) / 2.0 if abs(Zh) < hmin: # Minimun step size reached; singularity possible Q = Zh * (fa + fb) if path_type == 'line': Xp = [Za, Zb] elif path_type == 'half_circle': Xp = [origin + radius * np.exp((np.pi - Za) * 1.j), origin + radius * np.exp((np.pi - Zb) * 1.j)] Wp = [Zh, Zh] warn = 1 return Q, Xp, Wp, fcnt, warn fcnt += 5 if fcnt > maxfcnt: #Maximum function count exceed; singularity likely Q = Zh * (fa + fb) if path_type == 'line': Xp = [Za, Zb] elif path_type == 'half_circle': Xp = [origin + radius * np.exp((np.pi - Za) * 1.j), origin + radius * np.exp((np.pi - Zb) * 1.j)] Wp = [Zh, Zh] warn = 2 return Q, Xp, Wp, fcnt, warn x = [0.18350341907227, 0.55278640450004, 1.0, 1.44721359549996, 1.81649658092773]; Zx = [0] * len(x) y = [0] * len(x) for i in range(len(x)): x[i] *= 0.5 Zx[i] = Za + (Zb - Za) * x[i] if path_type == 'line': y[i] = f.calgfunc(Zx[i], calcutype) elif path_type == 'half_circle': energy = origin + radius * np.exp((np.pi - Zx[i]) * 1.j) y[i] = f.calgfunc(energy, calcutype) #Four point Lobatto quadrature s1 = [1.0, 0.0, 5.0, 0.0, 5.0, 0.0, 1.0] s2 = [77.0, 432.0, 625.0, 672.0, 625.0, 432.0, 77.0] Wk = [0] * 7 Wp = [0] * 7 for i in range(7): Wk[i] = (Zh / 6.0) * s1[i] Wp[i] = (Zh / 1470.0) * s2[i] if path_type == 'line': Xp = [Za] + Zx + [Zb] elif path_type == 'half_circle': Xp = [Za] + Zx + [Zb] for i in range(7): factor = -1.j * radius * np.exp(1.j * (np.pi - Xp[i])) Wk[i] *= factor Wp[i] *= factor Xp[i] = origin + radius * np.exp((np.pi - Xp[i]) * 1.j) Qk = fa * Wk[0] + fb * Wk[6] Q = fa * Wp[0] + fb * Wp[6] for i in range(1, 6): Qk += y[i-1] * Wk[i] Q += y[i-1] * Wp[i] if np.isinf(np.max(np.abs(Q))): Q = Zh * (fa + fb) if path_type == 'line': Xp = [Za, Zb] elif path_type == 'half_circle': Xp = [origin + radius * np.exp((np.pi - Za) * 1.j), origin + radius * np.exp((np.pi - Zb) * 1.j)] Wp = [Zh, Zh] warn = 3 return Qk, Xp, Wp, fcnt, warn else: pass if trace: print fcnt, real(Za), imag(Za), abs(Zh) #Check accurancy of integral over this subinterval XXk = [Xp[0], Xp[2], Xp[4], Xp[6]] WWk = [Wk[0], Wk[2], Wk[4], Wk[6]] YYk = [fa, y[1], y[3], fb] if np.max(np.abs(Qk - Q)) <= tol: warn = 0 return Q, XXk, WWk, fcnt, warn #Subdivide into six subintevals else: Q, Xk, Wk, fcnt, warn = quadlstep(f, Za, Zx[1], fa, YYk[1], tol, trace, fcnt, hmin, calcutype, path_type, origin, radius) Qk, xkk, wkk, fcnt, warnk = quadlstep(f, Zx[1], Zx[3], YYk[1], YYk[2], tol, trace, fcnt, hmin, calcutype, path_type, origin, radius) Q += Qk Xk = Xk[:-1] + xkk Wk = Wk[:-1] + [Wk[-1] + wkk[0]] + wkk[1:] warn = max(warn, warnk) Qk, xkk, wkk, fcnt, warnk = quadlstep(f, Zx[3], Zb, YYk[2], fb, tol, trace, fcnt, hmin, calcutype, path_type, origin, radius) Q += Qk Xk = Xk[:-1] + xkk Wk = Wk[:-1] + [Wk[-1] + wkk[0]] + wkk[1:] warn = max(warn, warnk) return Q, Xk, Wk, fcnt, warn def mytextread0(filename): num = 0 df = file(filename) df.seek(0) for line in df: if num == 0: dim = line.strip().split(' ') row = int(dim[0]) col = int(dim[1]) mat = np.empty([row, col]) else: data = line.strip().split(' ') if len(data) == 0 or len(data)== 1: break else: for i in range(len(data)): mat[num - 1, i] = float(data[i]) num += 1 return mat def mytextread1(filename): num = 0 df = file(filename) df.seek(0) data = [] for line in df: tmp = line.strip() if len(tmp) != 0: data.append(float(tmp)) else: break dim = int(sqrt(len(data))) mat = np.empty([dim, dim]) for i in range(dim): for j in range(dim): mat[i, j] = data[num] num += 1 return mat def mytextwrite1(filename, mat): num = 0 df = open(filename,'w') df.seek(0) dim = mat.shape[0] if dim != mat.shape[1]: print 'matwirte, matrix is not square' for i in range(dim): for j in range(dim): df.write('%20.20e\n'% mat[i, j]) df.close() python-ase-3.6.0.2515/ase/transport/__init__.py0000644000175400017540000000005411051026546020114 0ustar askhlaskhlfrom calculators import TransportCalculator python-ase-3.6.0.2515/ase/transport/greenfunction.py0000644000175400017540000000407711200232074021223 0ustar askhlaskhlimport numpy as np class GreenFunction: """Equilibrium retarded Green function.""" def __init__(self, H, S=None, selfenergies=[], eta=1e-4): self.H = H self.S = S self.selfenergies = selfenergies self.eta = eta self.energy = None self.Ginv = np.empty(H.shape, complex) def retarded(self, energy, inverse=False): """Get retarded Green function at specified energy. If 'inverse' is True, the inverse Green function is returned (faster). """ if energy != self.energy: self.energy = energy z = energy + self.eta * 1.j if self.S is None: self.Ginv[:] = 0.0 self.Ginv.flat[:: len(self.S) + 1] = z else: self.Ginv[:] = z self.Ginv *= self.S self.Ginv -= self.H for selfenergy in self.selfenergies: self.Ginv -= selfenergy.retarded(energy) if inverse: return self.Ginv else: return np.linalg.inv(self.Ginv) def calculate(self, energy, sigma): """XXX is this really needed""" ginv = energy * self.S - self.H - sigma return np.linalg.inv(ginv) def apply_retarded(self, energy, X): """Apply retarded Green function to X. Returns the matrix product G^r(e) . X """ return np.linalg.solve(self.retarded(energy, inverse=True), X) def dos(self, energy): """Total density of states -1/pi Im(Tr(GS))""" if self.S is None: return -self(energy).imag.trace() / np.pi else: GS = self.apply_retarded(energy, self.S) return -GS.imag.trace() / np.pi def pdos(self, energy): """Projected density of states -1/pi Im(SGS/S)""" if self.S is None: return -self.retarded(energy).imag.diagonal() / np.pi else: S = self.S SGS = np.dot(S, self.apply_retarded(energy, S)) return -(SGS.diagonal() / S.diagonal()).imag / np.pi python-ase-3.6.0.2515/ase/transport/stm.py0000644000175400017540000001654511564503727017206 0ustar askhlaskhlimport time import numpy as np from ase.transport.tools import dagger from ase.transport.selfenergy import LeadSelfEnergy from ase.transport.greenfunction import GreenFunction from ase.parallel import world class STM: def __init__(self, h1, s1, h2, s2 ,h10, s10, h20, s20, eta1, eta2, w=0.5, pdos=[], logfile = None): """XXX 1. Tip 2. Surface h1: ndarray Hamiltonian and overlap matrix for the isolated tip calculation. Note, h1 should contain (at least) one principal layer. h2: ndarray Same as h1 but for the surface. h10: ndarray periodic part of the tip. must include two and only two principal layers. h20: ndarray same as h10, but for the surface The s* are the corresponding overlap matrices. eta1, and eta 2 are (finite) infinitesimals. """ self.pl1 = len(h10) // 2 #principal layer size for the tip self.pl2 = len(h20) // 2 #principal layer size for the surface self.h1 = h1 self.s1 = s1 self.h2 = h2 self.s2 = s2 self.h10 = h10 self.s10 = s10 self.h20 = h20 self.s20 = s20 self.eta1 = eta1 self.eta2 = eta2 self.w = w #asymmetry of the applied bias (0.5=>symmetric) self.pdos = [] self.log = logfile def initialize(self, energies, bias=0): """ energies: list of energies for which the transmission function should be evaluated. bias. Will precalculate the surface greenfunctions of the tip and surface. """ self.bias = bias self.energies = energies nenergies = len(energies) pl1, pl2 = self.pl1, self.pl2 nbf1, nbf2 = len(self.h1), len(self.h2) #periodic part of the tip hs1_dii = self.h10[:pl1, :pl1], self.s10[:pl1, :pl1] hs1_dij = self.h10[:pl1, pl1:2*pl1], self.s10[:pl1, pl1:2*pl1] #coupling betwen per. and non. per part of the tip h1_im = np.zeros((pl1, nbf1), complex) s1_im = np.zeros((pl1, nbf1), complex) h1_im[:pl1, :pl1], s1_im[:pl1, :pl1] = hs1_dij hs1_dim = [h1_im, s1_im] #periodic part the surface hs2_dii = self.h20[:pl2, :pl2], self.s20[:pl2, :pl2] hs2_dij = self.h20[pl2:2*pl2, :pl2], self.s20[pl2:2*pl2, :pl2] #coupling betwen per. and non. per part of the surface h2_im = np.zeros((pl2, nbf2), complex) s2_im = np.zeros((pl2, nbf2), complex) h2_im[-pl2:, -pl2:], s2_im[-pl2:, -pl2:] = hs2_dij hs2_dim = [h2_im, s2_im] #tip and surface greenfunction self.selfenergy1 = LeadSelfEnergy(hs1_dii, hs1_dij, hs1_dim, self.eta1) self.selfenergy2 = LeadSelfEnergy(hs2_dii, hs2_dij, hs2_dim, self.eta2) self.greenfunction1 = GreenFunction(self.h1-self.bias*self.w*self.s1, self.s1, [self.selfenergy1], self.eta1) self.greenfunction2 = GreenFunction(self.h2-self.bias*(self.w-1)*self.s2, self.s2, [self.selfenergy2], self.eta2) #Shift the bands due to the bias. bias_shift1 = -bias * self.w bias_shift2 = -bias * (self.w - 1) self.selfenergy1.set_bias(bias_shift1) self.selfenergy2.set_bias(bias_shift2) #tip and surface greenfunction matrices. nbf1_small = nbf1 #XXX Change this for efficiency in the future nbf2_small = nbf2 #XXX -||- coupling_list1 = range(nbf1_small)# XXX -||- coupling_list2 = range(nbf2_small)# XXX -||- self.gft1_emm = np.zeros((nenergies, nbf1_small, nbf1_small), complex) self.gft2_emm = np.zeros((nenergies, nbf2_small, nbf2_small), complex) for e, energy in enumerate(self.energies): if self.log != None: # and world.rank == 0: T = time.localtime() self.log.write(' %d:%02d:%02d, ' % (T[3], T[4], T[5]) + '%d, %d, %02f\n' % (world.rank, e, energy)) gft1_mm = self.greenfunction1.retarded(energy)[coupling_list1] gft1_mm = np.take(gft1_mm, coupling_list1, axis=1) gft2_mm = self.greenfunction2.retarded(energy)[coupling_list2] gft2_mm = np.take(gft2_mm, coupling_list2, axis=1) self.gft1_emm[e] = gft1_mm self.gft2_emm[e] = gft2_mm if self.log != None and world.rank == 0: self.log.flush() def get_transmission(self, v_12, v_11_2=None, v_22_1=None): """XXX v_12: coupling between tip and surface v_11_2: correction to "on-site" tip elements due to the surface (eq.16). Is only included to first order. v_22_1: corretion to "on-site" surface elements due to he tip (eq.17). Is only included to first order. """ dim0 = v_12.shape[0] dim1 = v_12.shape[1] nenergies = len(self.energies) T_e = np.empty(nenergies,float) v_21 = dagger(v_12) for e, energy in enumerate(self.energies): gft1 = self.gft1_emm[e] if v_11_2!=None: gf1 = np.dot(v_11_2, np.dot(gft1, v_11_2)) gf1 += gft1 #eq. 16 else: gf1 = gft1 gft2 = self.gft2_emm[e] if v_22_1!=None: gf2 = np.dot(v_22_1,np.dot(gft2, v_22_1)) gf2 += gft2 #eq. 17 else: gf2 = gft2 a1 = (gf1 - dagger(gf1)) a2 = (gf2 - dagger(gf2)) self.v_12 = v_12 self.a2 = a2 self.v_21 = v_21 self.a1 = a1 v12_a2 = np.dot(v_12, a2[:dim1]) v21_a1 = np.dot(v_21, a1[-dim0:]) self.v12_a2 = v12_a2 self.v21_a1 = v21_a1 T = -np.trace(np.dot(v12_a2[:,:dim1], v21_a1[:,-dim0:])) #eq. 11 assert abs(T.imag).max() < 1e-14 T_e[e] = T.real self.T_e = T_e return T_e def get_current(self, bias, v_12, v_11_2=None, v_22_1=None): """Very simple function to calculate the current. Asummes zero temperature. bias: type? XXX bias voltage (V) v_12: XXX coupling between tip and surface. v_11_2: correction to onsite elements of the tip due to the potential of the surface. v_22_1: correction to onsite elements of the surface due to the potential of the tip. """ energies = self.energies T_e = self.get_transmission(v_12, v_11_2, v_22_1) bias_window = -np.array([bias * self.w, bias * (self.w - 1)]) bias_window.sort() self.bias_window = bias_window #print 'bias window', np.around(bias_window,3) #print 'Shift of tip lead do to the bias:', self.selfenergy1.bias #print 'Shift of surface lead do to the bias:', self.selfenergy2.bias i1 = sum(energies < bias_window[0]) i2 = sum(energies < bias_window[1]) step = 1 if i2 < i1: step = -1 return np.sign(bias)*np.trapz(x=energies[i1:i2:step], y=T_e[i1:i2:step]) python-ase-3.6.0.2515/ase/transport/selfenergy.py0000644000175400017540000000545511177755457020555 0ustar askhlaskhlimport numpy as np class LeadSelfEnergy: conv = 1e-8 # Convergence criteria for surface Green function def __init__(self, hs_dii, hs_dij, hs_dim, eta=1e-4): self.h_ii, self.s_ii = hs_dii # onsite principal layer self.h_ij, self.s_ij = hs_dij # coupling between principal layers self.h_im, self.s_im = hs_dim # coupling to the central region self.nbf = self.h_im.shape[1] # nbf for the scattering region self.eta = eta self.energy = None self.bias = 0 self.sigma_mm = np.empty((self.nbf, self.nbf), complex) def retarded(self, energy): """Return self-energy (sigma) evaluated at specified energy.""" if energy != self.energy: self.energy = energy z = energy - self.bias + self.eta * 1.j tau_im = z * self.s_im - self.h_im a_im = np.linalg.solve(self.get_sgfinv(energy), tau_im) tau_mi = z * self.s_im.T.conj() - self.h_im.T.conj() self.sigma_mm[:] = np.dot(tau_mi, a_im) return self.sigma_mm def set_bias(self, bias): self.bias = bias def get_lambda(self, energy): """Return the lambda (aka Gamma) defined by i(S-S^d). Here S is the retarded selfenergy, and d denotes the hermitian conjugate. """ sigma_mm = self.retarded(energy) return 1.j * (sigma_mm - sigma_mm.T.conj()) def get_sgfinv(self, energy): """The inverse of the retarded surface Green function""" z = energy - self.bias + self.eta * 1.j v_00 = z * self.s_ii.T.conj() - self.h_ii.T.conj() v_11 = v_00.copy() v_10 = z * self.s_ij - self.h_ij v_01 = z * self.s_ij.T.conj() - self.h_ij.T.conj() delta = self.conv + 1 while delta > self.conv: a = np.linalg.solve(v_11, v_01) b = np.linalg.solve(v_11, v_10) v_01_dot_b = np.dot(v_01, b) v_00 -= v_01_dot_b v_11 -= np.dot(v_10, a) v_11 -= v_01_dot_b v_01 = -np.dot(v_01, a) v_10 = -np.dot(v_10, b) delta = abs(v_01).max() return v_00 class BoxProbe: """Box shaped Buttinger probe. Kramers-kroning: real = H(imag); imag = -H(real) """ def __init__(self, eta, a, b, energies, S, T=0.3): from Transport.Hilbert import hilbert se = np.empty(len(energies), complex) se.imag = .5 * (np.tanh(.5 * (energies - a) / T) - np.tanh(.5 * (energies - b) / T)) se.real = hilbert(se.imag) se.imag -= 1 self.selfenergy_e = eta * se self.energies = energies self.S = S def retarded(self, energy): return self.selfenergy_e[self.energies.searchsorted(energy)] * self.S python-ase-3.6.0.2515/ase/transport/calculators.py0000644000175400017540000003623111306725071020701 0ustar askhlaskhlimport numpy as np from numpy import linalg from ase.transport.selfenergy import LeadSelfEnergy, BoxProbe from ase.transport.greenfunction import GreenFunction from ase.transport.tools import subdiagonalize, cutcoupling, tri2full, dagger,\ rotate_matrix class TransportCalculator: """Determine transport properties of a device sandwiched between two semi-infinite leads using a Green function method. """ def __init__(self, **kwargs): """Create the transport calculator. Parameters ========== h : (N, N) ndarray Hamiltonian matrix for the central region. s : {None, (N, N) ndarray}, optional Overlap matrix for the central region. Use None for an orthonormal basis. h1 : (N1, N1) ndarray Hamiltonian matrix for lead1. h2 : {None, (N2, N2) ndarray}, optional Hamiltonian matrix for lead2. You may use None if lead1 and lead2 are identical. s1 : {None, (N1, N1) ndarray}, optional Overlap matrix for lead1. Use None for an orthonomormal basis. hc1 : {None, (N1, N) ndarray}, optional Hamiltonian coupling matrix between the first principal layer in lead1 and the central region. hc2 : {None, (N2, N} ndarray), optional Hamiltonian coupling matrix between the first principal layer in lead2 and the central region. sc1 : {None, (N1, N) ndarray}, optional Overlap coupling matrix between the first principal layer in lead1 and the central region. sc2 : {None, (N2, N) ndarray}, optional Overlap coupling matrix between the first principal layer in lead2 and the central region. energies : {None, array_like}, optional Energy points for which calculated transport properties are evaluated. eta : {1.0e-5, float}, optional Infinitesimal for the central region Green function. eta1/eta2 : {1.0e-5, float}, optional Infinitesimal for lead1/lead2 Green function. align_bf : {None, int}, optional Use align_bf=m to shift the central region by a constant potential such that the m'th onsite element in the central region is aligned to the m'th onsite element in lead1 principal layer. logfile : {None, str}, optional Write a logfile to file with name `logfile`. Use '-' to write to std out. eigenchannels: {0, int}, optional Number of eigenchannel transmission coefficients to calculate. pdos : {None, (N,) array_like}, optional Specify which basis functions to calculate the projected density of states for. dos : {False, bool}, optional The total density of states of the central region. box: XXX YYY If hc1/hc2 are None, they are assumed to be identical to the coupling matrix elements between neareste neighbor principal layers in lead1/lead2. Examples ======== >>> import numpy as np >>> h = np.array((0,)).reshape((1,1)) >>> h1 = np.array((0, -1, -1, 0)).reshape(2,2) >>> energies = np.arange(-3, 3, 0.1) >>> calc = TransportCalculator(h=h, h1=h1, energies=energies) >>> T = calc.get_transmission() """ # The default values for all extra keywords self.input_parameters = {'energies': None, 'h': None, 'h1': None, 'h2': None, 's': None, 's1': None, 's2': None, 'hc1': None, 'hc2': None, 'sc1': None, 'sc2': None, 'box': None, 'align_bf': None, 'eta1': 1e-5, 'eta2': 1e-5, 'eta': 1e-5, 'logfile': None, # '-', 'eigenchannels': 0, 'dos': False, 'pdos': [], } self.initialized = False # Changed Hamiltonians? self.uptodate = False # Changed energy grid? self.set(**kwargs) def set(self, **kwargs): for key in kwargs: if key in ['h', 'h1', 'h2', 'hc1', 'hc2', 's', 's1', 's2', 'sc1', 'sc2', 'eta', 'eta1', 'eta2', 'align_bf', 'box']: self.initialized = False self.uptodate = False break elif key in ['energies', 'eigenchannels', 'dos', 'pdos']: self.uptodate = False elif key not in self.input_parameters: raise KeyError, '\'%s\' not a vaild keyword' % key self.input_parameters.update(kwargs) log = self.input_parameters['logfile'] if log is None: class Trash: def write(self, s): pass def flush(self): pass self.log = Trash() elif log == '-': from sys import stdout self.log = stdout elif 'logfile' in kwargs: self.log = open(log, 'w') def initialize(self): if self.initialized: return print >> self.log, '# Initializing calculator...' p = self.input_parameters if p['s'] == None: p['s'] = np.identity(len(p['h'])) identical_leads = False if p['h2'] == None: p['h2'] = p['h1'] # Lead2 is idendical to lead1 identical_leads = True if p['s1'] == None: p['s1'] = np.identity(len(p['h1'])) if p['s2'] == None and not identical_leads: p['s2'] = np.identity(len(p['h2'])) # Orthonormal basis for lead 2 else: # Lead2 is idendical to lead1 p['s2'] = p['s1'] h_mm = p['h'] s_mm = p['s'] pl1 = len(p['h1']) / 2 pl2 = len(p['h2']) / 2 h1_ii = p['h1'][:pl1, :pl1] h1_ij = p['h1'][:pl1, pl1:2 * pl1] s1_ii = p['s1'][:pl1, :pl1] s1_ij = p['s1'][:pl1, pl1:2 * pl1] h2_ii = p['h2'][:pl2, :pl2] h2_ij = p['h2'][pl2: 2 * pl2, :pl2] s2_ii = p['s2'][:pl2, :pl2] s2_ij = p['s2'][pl2: 2 * pl2, :pl2] if p['hc1'] is None: nbf = len(h_mm) h1_im = np.zeros((pl1, nbf), complex) s1_im = np.zeros((pl1, nbf), complex) h1_im[:pl1, :pl1] = h1_ij s1_im[:pl1, :pl1] = s1_ij p['hc1'] = h1_im p['sc1'] = s1_im else: h1_im = p['hc1'] if p['sc1'] is not None: s1_im = p['sc1'] else: s1_im = np.zeros(h1_im.shape, complex) p['sc1'] = s1_im if p['hc2'] is None: h2_im = np.zeros((pl2, nbf), complex) s2_im = np.zeros((pl2, nbf), complex) h2_im[-pl2:, -pl2:] = h2_ij s2_im[-pl2:, -pl2:] = s2_ij p['hc2'] = h2_im p['sc2'] = s2_im else: h2_im = p['hc2'] if p['sc2'] is not None: s2_im = p['sc2'] else: s2_im = np.zeros(h2_im.shape, complex) p['sc2'] = s2_im align_bf = p['align_bf'] if align_bf != None: diff = (h_mm[align_bf, align_bf] - h1_ii[align_bf, align_bf]) \ / s_mm[align_bf, align_bf] print >> self.log, '# Aligning scat. H to left lead H. diff=', diff h_mm -= diff * s_mm # Setup lead self-energies # All infinitesimals must be > 0 assert np.all(np.array((p['eta'], p['eta1'], p['eta2'])) > 0.0) self.selfenergies = [LeadSelfEnergy((h1_ii, s1_ii), (h1_ij, s1_ij), (h1_im, s1_im), p['eta1']), LeadSelfEnergy((h2_ii, s2_ii), (h2_ij, s2_ij), (h2_im, s2_im), p['eta2'])] box = p['box'] if box is not None: print 'Using box probe!' self.selfenergies.append( BoxProbe(eta=box[0], a=box[1], b=box[2], energies=box[3], S=s_mm, T=0.3)) #setup scattering green function self.greenfunction = GreenFunction(selfenergies=self.selfenergies, H=h_mm, S=s_mm, eta=p['eta']) self.initialized = True def update(self): if self.uptodate: return p = self.input_parameters self.energies = p['energies'] nepts = len(self.energies) nchan = p['eigenchannels'] pdos = p['pdos'] self.T_e = np.empty(nepts) if p['dos']: self.dos_e = np.empty(nepts) if pdos != []: self.pdos_ne = np.empty((len(pdos), nepts)) if nchan > 0: self.eigenchannels_ne = np.empty((nchan, nepts)) for e, energy in enumerate(self.energies): Ginv_mm = self.greenfunction.retarded(energy, inverse=True) lambda1_mm = self.selfenergies[0].get_lambda(energy) lambda2_mm = self.selfenergies[1].get_lambda(energy) a_mm = linalg.solve(Ginv_mm, lambda1_mm) b_mm = linalg.solve(dagger(Ginv_mm), lambda2_mm) T_mm = np.dot(a_mm, b_mm) if nchan > 0: t_n = linalg.eigvals(T_mm).real self.eigenchannels_ne[:, e] = np.sort(t_n)[-nchan:] self.T_e[e] = np.sum(t_n) else: self.T_e[e] = np.trace(T_mm).real print >> self.log, energy, self.T_e[e] self.log.flush() if p['dos']: self.dos_e[e] = self.greenfunction.dos(energy) if pdos != []: self.pdos_ne[:, e] = np.take(self.greenfunction.pdos(energy), pdos) self.uptodate = True def print_pl_convergence(self): self.initialize() pl1 = len(self.input_parameters['h1']) / 2 h_ii = self.selfenergies[0].h_ii s_ii = self.selfenergies[0].s_ii ha_ii = self.greenfunction.H[:pl1, :pl1] sa_ii = self.greenfunction.S[:pl1, :pl1] c1 = np.abs(h_ii - ha_ii).max() c2 = np.abs(s_ii - sa_ii).max() print 'Conv (h,s)=%.2e, %2.e' % (c1, c2) def plot_pl_convergence(self): self.initialize() pl1 = len(self.input_parameters['h1']) / 2 hlead = self.selfenergies[0].h_ii.real.diagonal() hprincipal = self.greenfunction.H.real.diagonal[:pl1] import pylab as pl pl.plot(hlead, label='lead') pl.plot(hprincipal, label='principal layer') pl.axis('tight') pl.show() def get_transmission(self): self.initialize() self.update() return self.T_e def get_dos(self): self.initialize() self.update() return self.dos_e def get_eigenchannels(self, n=None): """Get ``n`` first eigenchannels.""" self.initialize() self.update() if n is None: n = self.input_parameters['eigenchannels'] return self.eigenchannels_ne[:n] def get_pdos(self): self.initialize() self.update() return self.pdos_ne def subdiagonalize_bfs(self, bfs, apply=False): self.initialize() bfs = np.array(bfs) p = self.input_parameters h_mm = p['h'] s_mm = p['s'] ht_mm, st_mm, c_mm, e_m = subdiagonalize(h_mm, s_mm, bfs) if apply: self.uptodate = False h_mm[:] = ht_mm s_mm[:] = st_mm # Rotate coupling between lead and central region for alpha, sigma in enumerate(self.selfenergies): sigma.h_im[:] = np.dot(sigma.h_im, c_mm) sigma.s_im[:] = np.dot(sigma.s_im, c_mm) c_mm = np.take(c_mm, bfs, axis=0) c_mm = np.take(c_mm, bfs, axis=1) return ht_mm, st_mm, e_m, c_mm def cutcoupling_bfs(self, bfs, apply=False): self.initialize() bfs = np.array(bfs) p = self.input_parameters h_pp = p['h'].copy() s_pp = p['s'].copy() cutcoupling(h_pp, s_pp, bfs) if apply: self.uptodate = False p['h'][:] = h_pp p['s'][:] = s_pp for alpha, sigma in enumerate(self.selfenergies): for m in bfs: sigma.h_im[:, m] = 0.0 sigma.s_im[:, m] = 0.0 return h_pp, s_pp def lowdin_rotation(self, apply=False): p = self.input_parameters h_mm = p['h'] s_mm = p['s'] eig, rot_mm = linalg.eigh(s_mm) eig = np.abs(eig) rot_mm = np.dot(rot_mm / np.sqrt(eig), dagger(rot_mm)) if apply: self.uptodate = False h_mm[:] = rotate_matrix(h_mm, rot_mm) # rotate C region s_mm[:] = rotate_matrix(s_mm, rot_mm) for alpha, sigma in enumerate(self.selfenergies): sigma.h_im[:] = np.dot(sigma.h_im, rot_mm) # rotate L-C coupl. sigma.s_im[:] = np.dot(sigma.s_im, rot_mm) return rot_mm def get_left_channels(self, energy, nchan=1): self.initialize() g_s_ii = self.greenfunction.retarded(energy) lambda_l_ii = self.selfenergies[0].get_lambda(energy) lambda_r_ii = self.selfenergies[1].get_lambda(energy) if self.greenfunction.S is None: s_s_qsrt_ii = s_s_isqrt = np.identity(len(g_s_ii)) else: s_mm = self.greenfunction.S s_s_i, s_s_ii = linalg.eig(s_mm) s_s_i = np.abs(s_s_i) s_s_sqrt_i = np.sqrt(s_s_i) # sqrt of eigenvalues s_s_sqrt_ii = np.dot(s_s_ii * s_s_sqrt_i, dagger(s_s_ii)) s_s_isqrt_ii = np.dot(s_s_ii / s_s_sqrt_i, dagger(s_s_ii)) lambdab_r_ii = np.dot(np.dot(s_s_isqrt_ii, lambda_r_ii),s_s_isqrt_ii) a_l_ii = np.dot(np.dot(g_s_ii, lambda_l_ii), dagger(g_s_ii)) ab_l_ii = np.dot(np.dot(s_s_sqrt_ii, a_l_ii), s_s_sqrt_ii) lambda_i, u_ii = linalg.eig(ab_l_ii) ut_ii = np.sqrt(lambda_i / (2.0 * np.pi)) * u_ii m_ii = 2 * np.pi * np.dot(np.dot(dagger(ut_ii), lambdab_r_ii),ut_ii) T_i,c_in = linalg.eig(m_ii) T_i = np.abs(T_i) channels = np.argsort(-T_i)[:nchan] c_in = np.take(c_in, channels, axis=1) T_n = np.take(T_i, channels) v_in = np.dot(np.dot(s_s_isqrt_ii, ut_ii), c_in) return T_n, v_in python-ase-3.6.0.2515/ase/transport/test_transport_calulator.py0000644000175400017540000000416211311137675023527 0ustar askhlaskhlfrom ase.transport.calculators import TransportCalculator import numpy as np #Aux. function to write data to a text file. def write(fname,xs,ys): fd = open(fname,'w') for x,y in zip(xs,ys): print >> fd, x, y fd.close() H_lead = np.zeros([4,4]) # On-site energies are zero for i in range(4): H_lead[i,i] = 0.0 # Nearest neighbor hopping is -1.0 for i in range(3): H_lead[i,i+1] = -1.0 H_lead[i+1,i] = -1.0 # Next-nearest neighbor hopping is 0.2 for i in range(2): H_lead[i,i+2] = 0.2 H_lead[i+2,i] = 0.2 H_scat = np.zeros([6,6]) # Principal layers on either side of S H_scat[:2,:2] = H_lead[:2,:2] H_scat[-2:,-2:] = H_lead[:2,:2] # Scattering region H_scat[2,2] = 0.0 H_scat[3,3] = 0.0 H_scat[2,3] = -0.8 H_scat[3,2] = -0.8 # External coupling H_scat[1,2] = 0.2 H_scat[2,1] = 0.2 H_scat[3,4] = 0.2 H_scat[4,3] = 0.2 energies = np.arange(-3,3,0.02) tcalc = TransportCalculator(h=H_scat, h1=H_lead, eta=0.02, energies=energies) T = tcalc.get_transmission() tcalc.set(pdos=[2, 3]) pdos = tcalc.get_pdos() tcalc.set(dos=True) dos = tcalc.get_dos() write('T.dat',tcalc.energies,T) write('pdos0.dat', tcalc.energies,pdos[0]) write('pdos1.dat', tcalc.energies,pdos[1]) #subdiagonalize h_rot, s_rot, eps, u = tcalc.subdiagonalize_bfs([2, 3], apply=True) T_rot = tcalc.get_transmission() dos_rot = tcalc.get_dos() pdos_rot = tcalc.get_pdos() write('T_rot.dat', tcalc.energies,T_rot) write('pdos0_rot.dat', tcalc.energies, pdos_rot[0]) write('pdos1_rot.dat', tcalc.energies, pdos_rot[1]) print 'Subspace eigenvalues:', eps assert sum(abs(eps-(-0.8, 0.8))) < 2.0e-15, 'Subdiagonalization. error' print 'Max deviation of T after the rotation:', np.abs(T-T_rot).max() assert max(abs(T-T_rot)) < 2.0e-15, 'Subdiagonalization. error' #remove coupling h_cut, s_cut = tcalc.cutcoupling_bfs([2], apply=True) T_cut = tcalc.get_transmission() dos_cut = tcalc.get_dos() pdos_cut = tcalc.get_pdos() write('T_cut.dat', tcalc.energies, T_cut) write('pdos0_cut.dat', tcalc.energies,pdos_cut[0]) write('pdos1_cut.dat', tcalc.energies,pdos_cut[1]) python-ase-3.6.0.2515/ase/transport/stm_test.py0000644000175400017540000000326311143035723020223 0ustar askhlaskhlimport numpy as np import pylab import ase.transport.stm as stm # Parameters for a simple model. # # # * eps_a # v_ts / \ v_a2 # ... * * * * * * * * * ... # \/ \/ # t1 t2 # # Tip Surface # ----------------| |----------------------- t1 = -1.0 t2 = -2.0 eps_a = 0.4 v_ts = 0.05 v_a2 = 1.0 #Tip h1 = np.zeros([2, 2]) h1[0, 1] = t1 h1[1, 0] = t1 s1 = np.identity(2) h10 = np.zeros([2,2]) h10[0, 1] = t1 h10[1, 0] = t1 s10 = np.identity(2) #Surface with "molecule" a. h2 = np.zeros([2,2]) h2[0, 1] = v_a2 h2[1, 0] = v_a2 h1[0, 0] = eps_a s2 = np.identity(2) h20 = np.zeros([2,2]) h20[0, 1] = t2 h20[1, 0] = t2 s20 = np.identity(2) #Tip Surface coupling V_ts = np.zeros([2,2]) V_ts[1, 0] = v_ts eta1 = 0.0001 eta2 = 0.0001 stm = reload(stm) stm_calc = stm.STM(h1, s1, h2, s2, h10, s10, h20, s20, eta1, eta2) energies = np.arange(-3.0, 3.0, 0.01) stm_calc.initialize(energies) T_stm = stm_calc.get_transmission(V_ts) #Perform the full calculation and compare from ase.transport.calculators import TransportCalculator as TC h = np.zeros([4,4]) h[:2, :2] = h1 h[-2:, -2:] = h2 h[:2, -2:] = V_ts h[-2:, :2] = V_ts.T tc = TC(energies=energies, h=h, h1=h10, h2=h20, eta=eta1, eta1=eta1, eta2=eta2) T_full = tc.get_transmission() pylab.plot(stm_calc.energies, T_stm, 'b') pylab.plot(tc.energies, T_full, 'r--') pylab.show() #bias stuff biass = np.arange(-2.0, 2.0, 0.2) Is = [stm_calc.get_current(bias, V_ts) for bias in biass] pylab.plot(biass, Is, '+') pylab.show() python-ase-3.6.0.2515/ase/constraints.py0000644000175400017540000012057211712217646016707 0ustar askhlaskhlfrom math import sqrt import numpy as np __all__ = ['FixCartesian', 'FixBondLength', 'FixedMode', 'FixConstraintSingle', 'FixAtoms', 'UnitCellFilter', 'FixScaled', 'StrainFilter', 'FixedPlane', 'Filter', 'FixConstraint', 'FixedLine', 'FixBondLengths', 'FixInternals'] def slice2enlist(s): """Convert a slice object into a list of (new, old) tuples.""" if isinstance(s, (list, tuple)): return enumerate(s) if s.step == None: step = 1 else: step = s.step if s.start == None: start = 0 else: start = s.start return enumerate(range(start, s.stop, step)) class FixConstraint: """Base class for classes that fix one or more atoms in some way.""" def index_shuffle(self, ind): """Change the indices. When the ordering of the atoms in the Atoms object changes, this method can be called to shuffle the indices of the constraints. ind -- List or tuple of indices. """ raise NotImplementedError def repeat(self, m, n): """ basic method to multiply by m, needs to know the length of the underlying atoms object for the assignment of multiplied constraints to work. """ raise NotImplementedError class FixConstraintSingle(FixConstraint): """Base class for classes that fix a single atom.""" def index_shuffle(self, ind): """The atom index must be stored as self.a.""" newa = -1 # Signal error for new, old in slice2enlist(ind): if old == self.a: newa = new break if newa == -1: raise IndexError('Constraint not part of slice') self.a = newa class FixAtoms(FixConstraint): """Constraint object for fixing some chosen atoms.""" def __init__(self, indices=None, mask=None): """Constrain chosen atoms. Parameters ---------- indices : list of int Indices for those atoms that should be constrained. mask : list of bool One boolean per atom indicating if the atom should be constrained or not. Examples -------- Fix all Copper atoms: >>> c = FixAtoms(mask=[s == 'Cu' for s in atoms.get_chemical_symbols()]) >>> atoms.set_constraint(c) Fix all atoms with z-coordinate less than 1.0 Angstrom: >>> c = FixAtoms(mask=atoms.positions[:, 2] < 1.0) >>> atoms.set_constraint(c) """ if indices is None and mask is None: raise ValueError('Use "indices" or "mask".') if indices is not None and mask is not None: raise ValueError('Use only one of "indices" and "mask".') if mask is not None: self.index = np.asarray(mask, bool) else: # Check for duplicates srt = np.sort(indices) for i in range(len(indices) - 1): if srt[i] == srt[i+1]: raise ValueError( 'FixAtoms: The indices array contained duplicates. ' 'Perhaps you wanted to specify a mask instead, but ' 'forgot the mask= keyword.') self.index = np.asarray(indices, int) if self.index.ndim != 1: raise ValueError('Wrong argument to FixAtoms class!') def adjust_positions(self, old, new): new[self.index] = old[self.index] def adjust_forces(self, positions, forces): forces[self.index] = 0.0 def index_shuffle(self, ind): # See docstring of superclass if self.index.dtype == bool: self.index = self.index[ind] else: index = [] for new, old in slice2enlist(ind): if old in self.index: index.append(new) if len(index) == 0: raise IndexError('All indices in FixAtoms not part of slice') self.index = np.asarray(index, int) def copy(self): if self.index.dtype == bool: return FixAtoms(mask=self.index.copy()) else: return FixAtoms(indices=self.index.copy()) def __repr__(self): if self.index.dtype == bool: return 'FixAtoms(mask=%s)' % ints2string(self.index.astype(int)) return 'FixAtoms(indices=%s)' % ints2string(self.index) def repeat(self, m, n): i0 = 0 l = len(self.index) natoms = 0 if isinstance(m, int): m = (m, m, m) index_new = [] for m2 in range(m[2]): for m1 in range(m[1]): for m0 in range(m[0]): i1 = i0 + n if self.index.dtype == bool: index_new.extend(self.index) else: index_new += [i+natoms for i in self.index] i0 = i1 natoms += n if self.index.dtype == bool: self.index = np.asarray(index_new, bool) else: self.index = np.asarray(index_new, int) return self def delete_atom(self, ind): """ Removes atom number ind from the index array, if present. Required for removing atoms with existing FixAtoms constraints. """ if self.index.dtype == bool: self.index = np.delete(self.index, ind) else: if ind in self.index: i = list(self.index).index(ind) self.index = np.delete(self.index, i) for i in range(len(self.index)): if self.index[i] >= ind: self.index[i] -= 1 def ints2string(x, threshold=10): """Convert ndarray of ints to string.""" if len(x) <= threshold: return str(x.tolist()) return str(x[:threshold].tolist())[:-1] + ', ...]' class FixBondLengths(FixConstraint): def __init__(self, pairs, iterations=10): self.constraints = [FixBondLength(a1, a2) for a1, a2 in pairs] self.iterations = iterations def adjust_positions(self, old, new): for i in range(self.iterations): for constraint in self.constraints: constraint.adjust_positions(old, new) def adjust_forces(self, positions, forces): for i in range(self.iterations): for constraint in self.constraints: constraint.adjust_forces(positions, forces) def copy(self): return FixBondLengths([constraint.indices for constraint in self.constraints]) class FixBondLength(FixConstraint): """Constraint object for fixing a bond length.""" def __init__(self, a1, a2): """Fix distance between atoms with indices a1 and a2.""" self.indices = [a1, a2] def adjust_positions(self, old, new): p1, p2 = old[self.indices] d = p2 - p1 p = sqrt(np.dot(d, d)) q1, q2 = new[self.indices] d = q2 - q1 q = sqrt(np.dot(d, d)) d *= 0.5 * (p - q) / q new[self.indices] = (q1 - d, q2 + d) def adjust_forces(self, positions, forces): d = np.subtract.reduce(positions[self.indices]) d2 = np.dot(d, d) d *= 0.5 * np.dot(np.subtract.reduce(forces[self.indices]), d) / d2 forces[self.indices] += (-d, d) def index_shuffle(self, ind): 'Shuffle the indices of the two atoms in this constraint' newa = [-1, -1] # Signal error for new, old in slice2enlist(ind): for i, a in enumerate(self.indices): if old == a: newa[i] = new if newa[0] == -1 or newa[1] == -1: raise IndexError('Constraint not part of slice') self.indices = newa def copy(self): return FixBondLength(*self.indices) def __repr__(self): return 'FixBondLength(%d, %d)' % tuple(self.indices) class FixedMode(FixConstraint): """Constrain atoms to move along directions orthogonal to a given mode only.""" def __init__(self, indices, mode): if indices is None: raise ValueError('Use "indices".') if indices is not None: self.index = np.asarray(indices, int) self.mode = (np.asarray(mode) / np.sqrt((mode **2).sum())).reshape(-1) def adjust_positions(self, oldpositions, newpositions): newpositions = newpositions.ravel() oldpositions = oldpositions.ravel() step = newpositions - oldpositions newpositions -= self.mode * np.dot(step, self.mode) newpositions = newpositions.reshape(-1, 3) oldpositions = oldpositions.reshape(-1, 3) def adjust_forces(self, positions, forces): forces = forces.ravel() forces -= self.mode * np.dot(forces, self.mode) forces = forces.reshape(-1, 3) def copy(self): return FixedMode(self.index.copy(), self.mode) def __repr__(self): return 'FixedMode(%s, %s)' % (ints2string(self.index), self.mode.tolist()) class FixedPlane(FixConstraintSingle): """Constrain an atom *a* to move in a given plane only. The plane is defined by its normal: *direction*.""" def __init__(self, a, direction): self.a = a self.dir = np.asarray(direction) / sqrt(np.dot(direction, direction)) def adjust_positions(self, oldpositions, newpositions): step = newpositions[self.a] - oldpositions[self.a] newpositions[self.a] -= self.dir * np.dot(step, self.dir) def adjust_forces(self, positions, forces): forces[self.a] -= self.dir * np.dot(forces[self.a], self.dir) def copy(self): return FixedPlane(self.a, self.dir) def __repr__(self): return 'FixedPlane(%d, %s)' % (self.a, self.dir.tolist()) class FixedLine(FixConstraintSingle): """Constrain an atom *a* to move on a given line only. The line is defined by its *direction*.""" def __init__(self, a, direction): self.a = a self.dir = np.asarray(direction) / sqrt(np.dot(direction, direction)) def adjust_positions(self, oldpositions, newpositions): step = newpositions[self.a] - oldpositions[self.a] x = np.dot(step, self.dir) newpositions[self.a] = oldpositions[self.a] + x * self.dir def adjust_forces(self, positions, forces): forces[self.a] = self.dir * np.dot(forces[self.a], self.dir) def copy(self): return FixedLine(self.a, self.dir) def __repr__(self): return 'FixedLine(%d, %s)' % (self.a, self.dir.tolist()) class FixCartesian(FixConstraintSingle): "Fix an atom in the directions of the cartesian coordinates." def __init__(self, a, mask=(1, 1, 1)): self.a = a self.mask = -(np.array(mask) - 1) def adjust_positions(self, old, new): step = new[self.a] - old[self.a] step *= self.mask new[self.a] = old[self.a] + step def adjust_forces(self, positions, forces): forces[self.a] *= self.mask def copy(self): return FixCartesian(self.a, 1 - self.mask) def __repr__(self): return 'FixCartesian(indice=%s mask=%s)' % (self.a, self.mask) class fix_cartesian(FixCartesian): "Backwards compatibility for FixCartesian." def __init__(self, a, mask=(1, 1, 1)): import warnings super(fix_cartesian, self).__init__(a, mask) warnings.warn('fix_cartesian is deprecated. Please use FixCartesian' ' instead.', DeprecationWarning, stacklevel=2) class FixScaled(FixConstraintSingle): "Fix an atom in the directions of the unit vectors." def __init__(self, cell, a, mask=(1, 1, 1)): self.cell = cell self.a = a self.mask = np.array(mask) def adjust_positions(self, old, new): scaled_old = np.linalg.solve(self.cell.T, old.T).T scaled_new = np.linalg.solve(self.cell.T, new.T).T for n in range(3): if self.mask[n]: scaled_new[self.a, n] = scaled_old[self.a, n] new[self.a] = np.dot(scaled_new, self.cell)[self.a] def adjust_forces(self, positions, forces): scaled_forces = np.linalg.solve(self.cell.T, forces.T).T scaled_forces[self.a] *= -(self.mask - 1) forces[self.a] = np.dot(scaled_forces, self.cell)[self.a] def copy(self): return FixScaled(self.cell, self.a, self.mask) def __repr__(self): return 'FixScaled(%s, %d, %s)' % (repr(self.cell), self.a, repr(self.mask)) class fix_scaled(FixScaled): "Backwards compatibility for FixScaled." def __init__(self, cell, a, mask=(1, 1, 1)): import warnings super(fix_scaled, self).__init__(cell, a, mask) warnings.warn('fix_scaled is deprecated. Please use FixScaled ' 'instead.', DeprecationWarning, stacklevel=2) class FixInternals(FixConstraint): """Constraint object for fixing multiple internal coordinates. Allows fixing bonds, angles, and dihedrals.""" def __init__(self, atoms=None, bonds=None, angles=None, dihedrals=None, epsilon=1.e-7, _copy_init=None): if _copy_init is None: if atoms is None: raise ValueError('Atoms object has to be defined.') masses = atoms.get_masses() if bonds is None: bonds = [] if angles is None: angles = [] if dihedrals is None: dihedrals = [] self.n = len(bonds) + len(angles) + len(dihedrals) self.constraints = [] for bond in bonds: masses_bond = masses[bond[1]] self.constraints.append(self.FixBondLengthAlt(bond[0], bond[1], masses_bond)) for angle in angles: masses_angle = masses[angle[1]] self.constraints.append(self.FixAngle(angle[0], angle[1], masses_angle)) for dihedral in dihedrals: masses_dihedral = masses[dihedral[1]] self.constraints.append(self.FixDihedral(dihedral[0], dihedral[1], masses_dihedral)) self.epsilon = epsilon #copy case for __init__ else: self.constraints = _copy_init self.n = len(self.constraints) self.epsilon = epsilon def adjust_positions(self, old, new): for constraint in self.constraints: constraint.set_h_vectors(old) for j in range(50): maxerr = 0.0 for constraint in self.constraints: constraint.adjust_positions(old, new) maxerr = max(abs(constraint.sigma), maxerr) if maxerr < self.epsilon: return raise ValueError('Shake did not converge.') def adjust_forces(self, positions, forces): #Project out translations and rotations and all other constraints N = len(forces) list2_constraints = list(np.zeros((6, N, 3))) tx, ty, tz, rx, ry, rz = list2_constraints list_constraints = [r.ravel() for r in list2_constraints] tx[:, 0] = 1.0 ty[:, 1] = 1.0 tz[:, 2] = 1.0 ff = forces.ravel() #Calculate the center of mass center = positions.sum(axis=0) / N rx[:, 1] = -(positions[:, 2] - center[2]) rx[:, 2] = positions[:, 1] - center[1] ry[:, 0] = positions[:, 2] - center[2] ry[:, 2] = -(positions[:, 0] - center[0]) rz[:, 0] = -(positions[:, 1] - center[1]) rz[:, 1] = positions[:, 0] - center[0] #Normalizing transl., rotat. constraints for r in list2_constraints: r /= np.linalg.norm(r.ravel()) #Add all angle, etc. constraint vectors for constraint in self.constraints: constraint.adjust_forces(positions, forces) list_constraints.insert(0, constraint.h) #QR DECOMPOSITION - GRAM SCHMIDT list_constraints = [r.ravel() for r in list_constraints] aa = np.column_stack(list_constraints) (aa, bb) = np.linalg.qr(aa, mode = 'full') #Projektion hh = [] for i, constraint in enumerate(self.constraints): hh.append(aa[:, i] * np.row_stack(aa[:, i])) txx = aa[:, self.n] * np.row_stack(aa[:, self.n]) tyy = aa[:, self.n+1] * np.row_stack(aa[:, self.n+1]) tzz = aa[:, self.n+2] * np.row_stack(aa[:, self.n+2]) rxx = aa[:, self.n+3] * np.row_stack(aa[:, self.n+3]) ryy = aa[:, self.n+4] * np.row_stack(aa[:, self.n+4]) rzz = aa[:, self.n+5] * np.row_stack(aa[:, self.n+5]) T = txx + tyy + tzz + rxx + ryy + rzz for vec in hh: T += vec ff = np.dot(T, np.row_stack(ff)) forces[:, :] -= np.dot(T, np.row_stack(ff)).reshape(-1, 3) def copy(self): return FixInternals(epsilon=self.epsilon, _copy_init=self.constraints) def __repr__(self): constraints = repr(self.constraints) return 'FixInternals(_copy_init=%s, epsilon=%s)' % (constraints, repr(self.epsilon)) def __str__(self): return '\n'.join([repr(c) for c in self.constraints]) #Classes for internal use in FixInternals class FixBondLengthAlt: """Constraint subobject for fixing bond length within FixInternals.""" def __init__(self, bond, indices, masses, maxstep=0.01): """Fix distance between atoms with indices a1, a2.""" self.indices = indices self.bond = bond self.h1, self.h2 = None self.masses = masses self.h = [] self.sigma = 1. def set_h_vectors(self, pos): dist1 = pos[self.indices[0]] - pos[self.indices[1]] self.h1 = 2 * dist1 self.h2 = -self.h1 def adjust_positions(self, old, new): h1 = self.h1 / self.masses[0] h2 = self.h2 / self.masses[1] dist1 = new[self.indices[0]] - new[self.indices[1]] dist = np.dot(dist1, dist1) self.sigma = dist - self.bond**2 lamda = -self.sigma / (2 * np.dot(dist1, (h1 - h2))) new[self.indices[0]] += lamda * h1 new[self.indices[1]] += lamda * h2 def adjust_forces(self, positions, forces): self.h1 = 2 * (positions[self.indices[0]] - positions[self.indices[1]]) self.h2 = -self.h1 self.h = np.zeros([len(forces)*3]) self.h[(self.indices[0])*3] = self.h1[0] self.h[(self.indices[0])*3+1] = self.h1[1] self.h[(self.indices[0])*3+2] = self.h1[2] self.h[(self.indices[1])*3] = self.h2[0] self.h[(self.indices[1])*3+1] = self.h2[1] self.h[(self.indices[1])*3+2] = self.h2[2] self.h /= np.linalg.norm(self.h) def __repr__(self): return 'FixBondLengthAlt(%d, %d, %d)' % \ tuple(self.bond, self.indices) class FixAngle: """Constraint object for fixing an angle within FixInternals.""" def __init__(self, angle, indices, masses): """Fix atom movement to construct a constant angle.""" self.indices = indices self.a1m, self.a2m, self.a3m = masses self.angle = np.cos(angle) self.h1 = self.h2 = self.h3 = None self.h = [] self.sigma = 1. def set_h_vectors(self, pos): r21 = pos[self.indices[0]] - pos[self.indices[1]] r21_len = np.linalg.norm(r21) e21 = r21 / r21_len r23 = pos[self.indices[2]] - pos[self.indices[1]] r23_len = np.linalg.norm(r23) e23 = r23 / r23_len angle = np.dot(e21, e23) self.h1 = -2 * angle * ((angle * e21 - e23) / (r21_len)) self.h3 = -2 * angle * ((angle * e23 - e21) / (r23_len)) self.h2 = -(self.h1 + self.h3) def adjust_positions(self, oldpositions, newpositions): r21 = newpositions[self.indices[0]] - newpositions[self.indices[1]] r21_len = np.linalg.norm(r21) e21 = r21 / r21_len r23 = newpositions[self.indices[2]] - newpositions[self.indices[1]] r23_len = np.linalg.norm(r23) e23 = r23 / r23_len angle = np.dot(e21, e23) self.sigma = (angle - self.angle) * (angle + self.angle) h1 = self.h1 / self.a1m h3 = self.h3 / self.a3m h2 = self.h2 / self.a2m h21 = h1 - h2 h23 = h3 - h2 # Calculating new positions deriv = (((np.dot(r21, h23) + np.dot(r23, h21)) / (r21_len * r23_len)) - (np.dot(r21, h21) / (r21_len * r21_len) + np.dot(r23, h23) / (r23_len * r23_len)) * angle) deriv *= 2 * angle lamda = -self.sigma / deriv newpositions[self.indices[0]] += lamda * h1 newpositions[self.indices[1]] += lamda * h2 newpositions[self.indices[2]] += lamda * h3 def adjust_forces(self, positions, forces): r21 = positions[self.indices[0]] - positions[self.indices[1]] r21_len = np.linalg.norm(r21) e21 = r21 / r21_len r23 = positions[self.indices[2]] - positions[self.indices[1]] r23_len = np.linalg.norm(r23) e23 = r23 / r23_len angle = np.dot(e21, e23) self.h1 = -2 * angle * (angle * e21 - e23) / r21_len self.h3 = -2 * angle * (angle * e23 - e21) / r23_len self.h2 = -(self.h1 + self.h3) self.h = np.zeros([len(positions)*3]) self.h[(self.indices[0])*3] = self.h1[0] self.h[(self.indices[0])*3+1] = self.h1[1] self.h[(self.indices[0])*3+2] = self.h1[2] self.h[(self.indices[1])*3] = self.h2[0] self.h[(self.indices[1])*3+1] = self.h2[1] self.h[(self.indices[1])*3+2] = self.h2[2] self.h[(self.indices[2])*3] = self.h3[0] self.h[(self.indices[2])*3+1] = self.h3[1] self.h[(self.indices[2])*3+2] = self.h3[2] self.h /= np.linalg.norm(self.h) def __repr__(self): return 'FixAngle(%s, %f)' % (tuple(self.indices), np.arccos(self.angle)) class FixDihedral: """Constraint object for fixing an dihedral using the shake algorithm. This one allows also other constraints.""" def __init__(self, angle, indices, masses): """Fix atom movement to construct a constant dihedral angle.""" self.indices = indices self.a1m, self.a2m, self.a3m, self.a4m = masses self.angle = np.cos(angle) self.h1 = self.h2 = self.h3 = self.h4 = None self.h = [] self.sigma = 1. def set_h_vectors(self, pos): r12 = pos[self.indices[1]] - pos[self.indices[0]] r12_len = np.linalg.norm(r12) e12 = r12 / r12_len r23 = pos[self.indices[2]] - pos[self.indices[1]] r23_len = np.linalg.norm(r23) e23 = r23 / r23_len r34 = pos[self.indices[3]] - pos[self.indices[2]] r34_len = np.linalg.norm(r34) e34 = r34 / r34_len a = -r12 - np.dot(-r12, e23) * e23 a_len = np.linalg.norm(a) ea = a / a_len b = r34 - np.dot(r34, e23) * e23 b_len = np.linalg.norm(b) eb = b / b_len angle = np.dot(ea, eb).clip(-1.0, 1.0) self.h1 = (eb - angle * ea) / a_len self.h4 = (ea - angle * eb) / b_len self.h2 = self.h1 * (np.dot(-r12, e23) / r23_len -1) self.h2 += np.dot(r34, e23) / r23_len * self.h4 self.h3 = -self.h4 * (np.dot(r34, e23) / r23_len + 1) self.h3 += np.dot(r12, e23) / r23_len * self.h1 def adjust_positions(self, oldpositions, newpositions): r12 = newpositions[self.indices[1]] - newpositions[self.indices[0]] r12_len = np.linalg.norm(r12) e12 = r12 / r12_len r23 = newpositions[self.indices[2]] - newpositions[self.indices[1]] r23_len = np.linalg.norm(r23) e23 = r23 / r23_len r34 = newpositions[self.indices[3]] - newpositions[self.indices[2]] r34_len = np.linalg.norm(r34) e34 = r34 / r34_len n1 = np.cross(r12, r23) n1_len = np.linalg.norm(n1) n1e = n1 / n1_len n2 = np.cross(r23, r34) n2_len = np.linalg.norm(n2) n2e = n2 / n2_len angle = np.dot(n1e, n2e).clip(-1.0, 1.0) self.sigma = (angle - self.angle) * (angle + self.angle) h1 = self.h1 / self.a1m h2 = self.h2 / self.a2m h3 = self.h3 / self.a3m h4 = self.h4 / self.a4m h12 = h2 - h1 h23 = h3 - h2 h34 = h4 - h3 deriv = ((np.dot(n1, np.cross(r34, h23) + np.cross(h34, r23)) + np.dot(n2, np.cross(r23, h12) + np.cross(h23, r12))) / (n1_len * n2_len)) deriv -= (((np.dot(n1, np.cross(r23, h12) + np.cross(h23, r12)) / n1_len**2) + (np.dot(n2, np.cross(r34, h23) + np.cross(h34, r23)) / n2_len**2)) * angle) deriv *= -2 * angle lamda = -self.sigma / deriv newpositions[self.indices[0]] += lamda * h1 newpositions[self.indices[1]] += lamda * h2 newpositions[self.indices[2]] += lamda * h3 newpositions[self.indices[3]] += lamda * h4 def adjust_forces(self, positions, forces): r12 = positions[self.indices[1]] - positions[self.indices[0]] r12_len = np.linalg.norm(r12) e12 = r12 / r12_len r23 = positions[self.indices[2]] - positions[self.indices[1]] r23_len = np.linalg.norm(r23) e23 = r23 / r23_len r34 = positions[self.indices[3]] - positions[self.indices[2]] r34_len = np.linalg.norm(r34) e34 = r34 / r34_len a = -r12 - np.dot(-r12, e23) * e23 a_len = np.linalg.norm(a) ea = a / a_len b = r34 - np.dot(r34, e23) * e23 b_len = np.linalg.norm(b) eb = b / b_len angle = np.dot(ea, eb).clip(-1.0, 1.0) self.h1 = (eb - angle * ea) / a_len self.h4 = (ea - angle * eb) / b_len self.h2 = self.h1 * (np.dot(-r12, e23) / r23_len - 1) self.h2 += np.dot(r34, e23) / r23_len * self.h4 self.h3 = -self.h4 * (np.dot(r34, e23) / r23_len + 1) self.h3 -= np.dot(-r12, e23) / r23_len * self.h1 self.h = np.zeros([len(positions)*3]) self.h[(self.indices[0])*3] = self.h1[0] self.h[(self.indices[0])*3+1] = self.h1[1] self.h[(self.indices[0])*3+2] = self.h1[2] self.h[(self.indices[1])*3] = self.h2[0] self.h[(self.indices[1])*3+1] = self.h2[1] self.h[(self.indices[1])*3+2] = self.h2[2] self.h[(self.indices[2])*3] = self.h3[0] self.h[(self.indices[2])*3+1] = self.h3[1] self.h[(self.indices[2])*3+2] = self.h3[2] self.h[(self.indices[3])*3] = self.h4[0] self.h[(self.indices[3])*3+1] = self.h4[1] self.h[(self.indices[3])*3+2] = self.h4[2] self.h /= np.linalg.norm(self.h) def __repr__(self): return 'FixDihedral(%s, %f)' % (tuple(self.indices), self.angle) class BondSpring(FixConstraint): """Forces two atoms to stay close together by applying no force if they are below threshhold_length, and applying a Hookian force when the distance between them exceeds the thresshhold_length. a1, a2 : indices of atoms 1 and 2 a2 can alternately be a position in space to tether a1 to threshhold_length (float) : the length below which there is no force springconstant (integer) : Hook's law constant to apply when distance between the two atoms exceeds threshhold_length, dimensions of (force / length) """ def __init__(self, a1, a2, threshhold_length, springconstant): if type(a2) == int: self._type = 2 # two atoms tethered together self.indices = [a1, a2] else: self._type = 1 # one atom tethered to a point in space self.index = a1 self.origin = np.array(a2) self.threshhold = threshhold_length self.spring = springconstant def adjust_positions(self, oldpositions, newpositions): pass def adjust_forces(self, positions, forces): if self._type == 2: p1, p2 = positions[self.indices] else: p1 = positions[self.index] p2 = self.origin displace = p2 - p1 bondlength = np.linalg.norm(displace) if bondlength > self.threshhold: magnitude = self.spring * (bondlength - self.threshhold) direction = displace / np.linalg.norm(displace) if self._type == 2: forces[self.indices[0]] += direction * magnitude / 2. forces[self.indices[1]] -= direction * magnitude / 2. else: forces[self.index] += direction * magnitude def __repr__(self): if self._type == 2: return 'BondSpring(%d, %d)' % tuple(self.indices) else: return 'BondSpring(%d) to cartesian' % self.index def copy(self): if self._type == 2: return BondSpring(a1=self.indices[0], a2=self.indices[1], threshhold_length=self.threshhold, springconstant=self.spring) else: return BondSpring(a1=self.index, a2=self.origin, threshhold_length=self.threshhold, springconstant=self.spring) class Filter: """Subset filter class.""" def __init__(self, atoms, indices=None, mask=None): """Filter atoms. This filter can be used to hide degrees of freedom in an Atoms object. Parameters ---------- indices : list of int Indices for those atoms that should remain visible. mask : list of bool One boolean per atom indicating if the atom should remain visible or not. """ self.atoms = atoms self.constraints = [] if indices is None and mask is None: raise ValueError('Use "indices" or "mask".') if indices is not None and mask is not None: raise ValueError('Use only one of "indices" and "mask".') if mask is not None: self.index = np.asarray(mask, bool) self.n = self.index.sum() else: self.index = np.asarray(indices, int) self.n = len(self.index) def get_cell(self): """Returns the computational cell. The computational cell is the same as for the original system. """ return self.atoms.get_cell() def get_pbc(self): """Returns the periodic boundary conditions. The boundary conditions are the same as for the original system. """ return self.atoms.get_pbc() def get_positions(self): "Return the positions of the visible atoms." return self.atoms.get_positions()[self.index] def set_positions(self, positions): "Set the positions of the visible atoms." pos = self.atoms.get_positions() pos[self.index] = positions self.atoms.set_positions(pos) positions = property(get_positions, set_positions, doc='Positions of the atoms') def get_momenta(self): "Return the momenta of the visible atoms." return self.atoms.get_momenta()[self.index] def set_momenta(self, momenta): "Set the momenta of the visible atoms." mom = self.atoms.get_momenta() mom[self.index] = momenta self.atoms.set_momenta(mom) def get_atomic_numbers(self): "Return the atomic numbers of the visible atoms." return self.atoms.get_atomic_numbers()[self.index] def set_atomic_numbers(self, atomic_numbers): "Set the atomic numbers of the visible atoms." z = self.atoms.get_atomic_numbers() z[self.index] = atomic_numbers self.atoms.set_atomic_numbers(z) def get_tags(self): "Return the tags of the visible atoms." return self.atoms.get_tags()[self.index] def set_tags(self, tags): "Set the tags of the visible atoms." tg = self.atoms.get_tags() tg[self.index] = tags self.atoms.set_tags(tg) def get_forces(self, *args, **kwargs): return self.atoms.get_forces(*args, **kwargs)[self.index] def get_stress(self): return self.atoms.get_stress() def get_stresses(self): return self.atoms.get_stresses()[self.index] def get_masses(self): return self.atoms.get_masses()[self.index] def get_potential_energy(self): """Calculate potential energy. Returns the potential energy of the full system. """ return self.atoms.get_potential_energy() def get_chemical_symbols(self): return self.atoms.get_chemical_symbols() def get_initial_magnetic_moments(self): return self.atoms.get_initial_magnetic_moments() def get_calculator(self): """Returns the calculator. WARNING: The calculator is unaware of this filter, and sees a different number of atoms. """ return self.atoms.get_calculator() def has(self, name): """Check for existance of array.""" return self.atoms.has(name) def __len__(self): "Return the number of movable atoms." return self.n def __getitem__(self, i): "Return an atom." return self.atoms[self.index[i]] class StrainFilter(Filter): """Modify the supercell while keeping the scaled positions fixed. Presents the strain of the supercell as the generalized positions, and the global stress tensor (times the volume) as the generalized force. This filter can be used to relax the unit cell until the stress is zero. If MDMin is used for this, the timestep (dt) to be used depends on the system size. 0.01/x where x is a typical dimension seems like a good choice. The stress and strain are presented as 6-vectors, the order of the components follow the standard engingeering practice: xx, yy, zz, yz, xz, xy. """ def __init__(self, atoms, mask=None): """Create a filter applying a homogeneous strain to a list of atoms. The first argument, atoms, is the atoms object. The optional second argument, mask, is a list of six booleans, indicating which of the six independent components of the strain that are allowed to become non-zero. It defaults to [1,1,1,1,1,1]. """ self.atoms = atoms self.strain = np.zeros(6) if mask is None: self.mask = np.ones(6) else: self.mask = np.array(mask) self.index = np.arange(len(atoms)) self.n = self.index.sum() self.origcell = atoms.get_cell() def get_positions(self): return self.strain.reshape((2, 3)) def set_positions(self, new): new = new.ravel() * self.mask eps = np.array([[1.0 + new[0], 0.5 * new[5], 0.5 * new[4]], [0.5 * new[5], 1.0 + new[1], 0.5 * new[3]], [0.5 * new[4], 0.5 * new[3], 1.0 + new[2]]]) self.atoms.set_cell(np.dot(self.origcell, eps), scale_atoms=True) self.strain[:] = new def get_forces(self): stress = self.atoms.get_stress() return -self.atoms.get_volume() * (stress * self.mask).reshape((2, 3)) def get_potential_energy(self): return self.atoms.get_potential_energy() def has(self, x): return self.atoms.has(x) def __len__(self): return 2 class UnitCellFilter(Filter): """Modify the supercell and the atom positions. """ def __init__(self, atoms, mask=None): """Create a filter that returns the atomic forces and unit cell stresses together, so they can simultaneously be minimized. The first argument, atoms, is the atoms object. The optional second argument, mask, is a list of booleans, indicating which of the six independent components of the strain are relaxed. 1, True = relax to zero 0, False = fixed, ignore this component use atom Constraints, e.g. FixAtoms, to control relaxation of the atoms. #this should be equivalent to the StrainFilter >>> atoms = Atoms(...) >>> atoms.set_constraint(FixAtoms(mask=[True for atom in atoms])) >>> ucf = UCFilter(atoms) You should not attach this UCFilter object to a trajectory. Instead, create a trajectory for the atoms, and attach it to an optimizer like this: >>> atoms = Atoms(...) >>> ucf = UCFilter(atoms) >>> qn = QuasiNewton(ucf) >>> traj = PickleTrajectory('TiO2.traj','w',atoms) >>> qn.attach(traj) >>> qn.run(fmax=0.05) Helpful conversion table ======================== 0.05 eV/A^3 = 8 GPA 0.003 eV/A^3 = 0.48 GPa 0.0006 eV/A^3 = 0.096 GPa 0.0003 eV/A^3 = 0.048 GPa 0.0001 eV/A^3 = 0.02 GPa """ Filter.__init__(self, atoms, indices=range(len(atoms))) self.atoms = atoms self.strain = np.zeros(6) if mask is None: self.mask = np.ones(6) else: self.mask = np.array(mask) self.origcell = atoms.get_cell() def get_positions(self): ''' this returns an array with shape (natoms + 2,3). the first natoms rows are the positions of the atoms, the last two rows are the strains associated with the unit cell ''' atom_positions = self.atoms.get_positions() strains = self.strain.reshape((2, 3)) natoms = len(self.atoms) all_pos = np.zeros((natoms + 2, 3), np.float) all_pos[0:natoms, :] = atom_positions all_pos[natoms:, :] = strains return all_pos def set_positions(self, new): ''' new is an array with shape (natoms+2,3). the first natoms rows are the positions of the atoms, the last two rows are the strains used to change the cell shape. The atom positions are set first, then the unit cell is changed keeping the atoms in their scaled positions. ''' natoms = len(self.atoms) atom_positions = new[0:natoms, :] self.atoms.set_positions(atom_positions) new = new[natoms:, :] #this is only the strains new = new.ravel() * self.mask eps = np.array([[1.0 + new[0], 0.5 * new[5], 0.5 * new[4]], [0.5 * new[5], 1.0 + new[1], 0.5 * new[3]], [0.5 * new[4], 0.5 * new[3], 1.0 + new[2]]]) self.atoms.set_cell(np.dot(self.origcell, eps), scale_atoms=True) self.strain[:] = new def get_forces(self, apply_constraint=False): ''' returns an array with shape (natoms+2,3) of the atomic forces and unit cell stresses. the first natoms rows are the forces on the atoms, the last two rows are the stresses on the unit cell, which have been reshaped to look like "atomic forces". i.e., f[-2] = -vol*[sxx,syy,szz]*mask[0:3] f[-1] = -vol*[syz, sxz, sxy]*mask[3:] apply_constraint is an argument expected by ase ''' stress = self.atoms.get_stress() atom_forces = self.atoms.get_forces() natoms = len(self.atoms) all_forces = np.zeros((natoms+2, 3), np.float) all_forces[0:natoms, :] = atom_forces vol = self.atoms.get_volume() stress_forces = -vol * (stress * self.mask).reshape((2, 3)) all_forces[natoms:, :] = stress_forces return all_forces def get_potential_energy(self): return self.atoms.get_potential_energy() def has(self, x): return self.atoms.has(x) def __len__(self): return (2 + len(self.atoms)) python-ase-3.6.0.2515/ase/__init__.py0000644000175400017540000000025211721407205016057 0ustar askhlaskhl# Copyright 2008, 2009 CAMd # (see accompanying license files for details). """Atomic Simulation Environment.""" from ase.atom import Atom from ase.atoms import Atoms python-ase-3.6.0.2515/ase/infrared.py0000644000175400017540000002735411652336117016134 0ustar askhlaskhl # -*- coding: utf-8 -*- """Infrared intensities""" import pickle from math import sin, pi, sqrt, exp, log import numpy as np import ase.units as units from ase.io.trajectory import PickleTrajectory from ase.parallel import rank, barrier, parprint from ase.vibrations import Vibrations class InfraRed(Vibrations): """Class for calculating vibrational modes and infrared intensities using finite difference. The vibrational modes are calculated from a finite difference approximation of the Dynamical matrix and the IR intensities from a finite difference approximation of the gradient of the dipole moment. The method is described in: D. Porezag, M. R. Pederson: "Infrared intensities and Raman-scattering activities within density-functional theory", Phys. Rev. B 54, 7830 (1996) The calculator object (calc) linked to the Atoms object (atoms) must have the attribute: >>> calc.get_dipole_moment(atoms) In addition to the methods included in the ``Vibrations`` class the ``InfraRed`` class introduces two new methods; *get_spectrum()* and *write_spectra()*. The *summary()*, *get_energies()*, *get_frequencies()*, *get_spectrum()* and *write_spectra()* methods all take an optional *method* keyword. Use method='Frederiksen' to use the method described in: T. Frederiksen, M. Paulsson, M. Brandbyge, A. P. Jauho: "Inelastic transport theory from first-principles: methodology and applications for nanoscale devices", Phys. Rev. B 75, 205413 (2007) atoms: Atoms object The atoms to work on. indices: list of int List of indices of atoms to vibrate. Default behavior is to vibrate all atoms. name: str Name to use for files. delta: float Magnitude of displacements. nfree: int Number of displacements per degree of freedom, 2 or 4 are supported. Default is 2 which will displace each atom +delta and -delta in each cartesian direction. directions: list of int Cartesian coordinates to calculate the gradient of the dipole moment in. For example directions = 2 only dipole moment in the z-direction will be considered, whereas for directions = [0, 1] only the dipole moment in the xy-plane will be considered. Default behavior is to use the dipole moment in all directions. Example: >>> from ase.io import read >>> from ase.calculators.vasp import Vasp >>> from ase.infrared import InfraRed >>> water = read('water.traj') # read pre-relaxed structure of water molecule >>> calc = Vasp(prec='Accurate', ... ediff=1E-8, ... isym=0, ... idipol=4, # calculate the total dipole moment ... dipol=water.get_center_of_mass(scaled=True), ... ldipol=True) >>> water.set_calculator(calc) >>> ir = InfraRed(water) >>> ir.run() >>> ir.summary() ------------------------------------- Mode Frequency Intensity # meV cm^-1 (D/Ã…)^2 amu^-1 ------------------------------------- 0 16.9i 136.2i 1.6108 1 10.5i 84.9i 2.1682 2 5.1i 41.1i 1.7327 3 0.3i 2.2i 0.0080 4 2.4 19.0 0.1186 5 15.3 123.5 1.4956 6 195.5 1576.7 1.6437 7 458.9 3701.3 0.0284 8 473.0 3814.6 1.1812 ------------------------------------- Zero-point energy: 0.573 eV Static dipole moment: 1.833 D Maximum force on atom in `equilibrium`: 0.0026 eV/Ã… This interface now also works for calculator 'siesta', (added get_dipole_moment for siesta). Example: >>> #!/usr/bin/env python >>> from ase.io import read >>> from ase.calculators.siesta import Siesta >>> from ase.infrared import InfraRed >>> bud = read('bud1.xyz') >>> calc = Siesta(label='bud', ... meshcutoff=250 * Ry, ... basis='DZP', ... kpts=[1, 1, 1]) >>> calc.set_fdf('DM.MixingWeight', 0.08) >>> calc.set_fdf('DM.NumberPulay', 3) >>> calc.set_fdf('DM.NumberKick', 20) >>> calc.set_fdf('DM.KickMixingWeight', 0.15) >>> calc.set_fdf('SolutionMethod', 'Diagon') >>> calc.set_fdf('MaxSCFIterations', 500) >>> calc.set_fdf('PAO.BasisType', 'split') >>> #50 meV = 0.003674931 * Ry >>> calc.set_fdf('PAO.EnergyShift', 0.003674931 * Ry ) >>> calc.set_fdf('LatticeConstant', 1.000000 * Ang) >>> calc.set_fdf('WriteCoorXmol', 'T') >>> bud.set_calculator(calc) >>> ir = InfraRed(bud) >>> ir.run() >>> ir.summary() """ def __init__(self, atoms, indices=None, name='ir', delta=0.01, nfree=2, directions=None): assert nfree in [2, 4] self.atoms = atoms if atoms.constraints: print "WARNING! \n Your Atoms object is constrained. Some forces may be unintended set to zero. \n" self.calc = atoms.get_calculator() if indices is None: indices = range(len(atoms)) self.indices = np.asarray(indices) self.nfree = nfree self.name = name+'-d%.3f' % delta self.delta = delta self.H = None if directions is None: self.directions = np.asarray([0, 1, 2]) else: self.directions = np.asarray(directions) self.ir = True def read(self, method='standard', direction='central'): self.method = method.lower() self.direction = direction.lower() assert self.method in ['standard', 'frederiksen'] if direction != 'central': raise NotImplementedError('Only central difference is implemented at the moment.') # Get "static" dipole moment and forces name = '%s.eq.pckl' % self.name [forces_zero, dipole_zero] = pickle.load(open(name)) self.dipole_zero = (sum(dipole_zero**2)**0.5)*units.Debye self.force_zero = max([sum((forces_zero[j])**2)**0.5 for j in self.indices]) ndof = 3 * len(self.indices) H = np.empty((ndof, ndof)) dpdx = np.empty((ndof, 3)) r = 0 for a in self.indices: for i in 'xyz': name = '%s.%d%s' % (self.name, a, i) [fminus, dminus] = pickle.load(open(name + '-.pckl')) [fplus, dplus] = pickle.load(open(name + '+.pckl')) if self.nfree == 4: [fminusminus, dminusminus] = pickle.load(open(name + '--.pckl')) [fplusplus, dplusplus] = pickle.load(open(name + '++.pckl')) if self.method == 'frederiksen': fminus[a] += -fminus.sum(0) fplus[a] += -fplus.sum(0) if self.nfree == 4: fminusminus[a] += -fminus.sum(0) fplusplus[a] += -fplus.sum(0) if self.nfree == 2: H[r] = (fminus - fplus)[self.indices].ravel() / 2.0 dpdx[r] = (dminus - dplus) if self.nfree == 4: H[r] = (-fminusminus+8*fminus-8*fplus+fplusplus)[self.indices].ravel() / 12.0 dpdx[r] = (-dplusplus + 8*dplus - 8*dminus +dminusminus) / 6.0 H[r] /= 2 * self.delta dpdx[r] /= 2 * self.delta for n in range(3): if n not in self.directions: dpdx[r][n] = 0 dpdx[r][n] = 0 r += 1 # Calculate eigenfrequencies and eigenvectors m = self.atoms.get_masses() H += H.copy().T self.H = H m = self.atoms.get_masses() self.im = np.repeat(m[self.indices]**-0.5, 3) omega2, modes = np.linalg.eigh(self.im[:, None] * H * self.im) self.modes = modes.T.copy() # Calculate intensities dpdq = np.array([dpdx[j]/sqrt(m[self.indices[j/3]]*units._amu/units._me) for j in range(ndof)]) dpdQ = np.dot(dpdq.T, modes) dpdQ = dpdQ.T intensities = np.array([sum(dpdQ[j]**2) for j in range(ndof)]) # Conversion factor: s = units._hbar * 1e10 / sqrt(units._e * units._amu) self.hnu = s * omega2.astype(complex)**0.5 # Conversion factor from atomic units to (D/Angstrom)^2/amu. conv = units.Debye**2*units._amu/units._me self.intensities = intensities*conv def summary(self, method='standard', direction='central'): hnu = self.get_energies(method, direction) s = 0.01 * units._e / units._c / units._hplanck parprint('-------------------------------------') parprint(' Mode Frequency Intensity') parprint(' # meV cm^-1 (D/Ã…)^2 amu^-1') parprint('-------------------------------------') for n, e in enumerate(hnu): if e.imag != 0: c = 'i' e = e.imag else: c = ' ' parprint('%3d %6.1f%s %7.1f%s %9.4f' % (n, 1000 * e, c, s * e, c, self.intensities[n])) parprint('-------------------------------------') parprint('Zero-point energy: %.3f eV' % self.get_zero_point_energy()) parprint('Static dipole moment: %.3f D' % self.dipole_zero) parprint('Maximum force on atom in `equilibrium`: %.4f eV/Ã…' % self.force_zero) parprint() def get_spectrum(self, start=800, end=4000, npts=None, width=4, type='Gaussian', method='standard', direction='central'): """Get infrared spectrum. The method returns wavenumbers in cm^-1 with corresonding absolute infrared intensity. Start and end point, and width of the Gaussian/Lorentzian should be given in cm^-1.""" self.type = type.lower() assert self.type in ['gaussian', 'lorentzian'] if not npts: npts = (end-start)/width*10+1 frequencies = self.get_frequencies(method, direction).real intensities=self.intensities if type == 'lorentzian': intensities = intensities*width*pi/2. else: sigma = width/2./sqrt(2.*log(2.)) #Make array with spectrum data spectrum = np.empty(npts,np.float) energies = np.empty(npts,np.float) ediff = (end-start)/float(npts-1) energies = np.arange(start, end+ediff/2, ediff) for i, energy in enumerate(energies): energies[i] = energy if type == 'lorentzian': spectrum[i] = (intensities*0.5*width/pi/((frequencies-energy)**2+0.25*width**2)).sum() else: spectrum[i] = (intensities*np.exp(-(frequencies - energy)**2/2./sigma**2)).sum() return [energies, spectrum] def write_spectra(self, out='ir-spectra.dat', start=800, end=4000, npts=None, width=10, type='Gaussian', method='standard', direction='central'): """Write out infrared spectrum to file. First column is the wavenumber in cm^-1, the second column the absolute infrared intensities, and the third column the absorbance scaled so that data runs from 1 to 0. Start and end point, and width of the Gaussian/Lorentzian should be given in cm^-1.""" energies, spectrum = self.get_spectrum(start, end, npts, width, type, method, direction) #Write out spectrum in file. First column is absolute intensities. #Second column is absorbance scaled so that data runs from 1 to 0 spectrum2 = 1. - spectrum/spectrum.max() outdata = np.empty([len(energies), 3]) outdata.T[0] = energies outdata.T[1] = spectrum outdata.T[2] = spectrum2 fd = open(out, 'w') for row in outdata: fd.write('%.3f %15.5e %15.5e \n' % (row[0], row[1], row[2]) ) fd.close() #np.savetxt(out, outdata, fmt='%.3f %15.5e %15.5e') python-ase-3.6.0.2515/ase/version.py0000644000175400017540000000041211721673546016020 0ustar askhlaskhl# Copyright (C) 2003 CAMP # Please see the accompanying LICENSE file for further information. version_base = '3.6.0' try: from ase.svnversion import svnversion except ImportError: version = version_base else: version = version_base + '.' + svnversion python-ase-3.6.0.2515/ase/visualize/0000755000175400017540000000000011757245034015773 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/visualize/__init__.py0000644000175400017540000000324111623435042020074 0ustar askhlaskhlimport os import tempfile from ase.io import write import ase.parallel as parallel from ase.old import OldASEListOfAtomsWrapper def view(atoms, data=None, viewer='ag', repeat=None, block=False): # Ignore for parallel calculations: if parallel.size != 1: return if hasattr(atoms, 'GetUnitCell'): # Convert old ASE ListOfAtoms to new style. atoms = OldASEListOfAtomsWrapper(atoms).copy() vwr = viewer.lower() if vwr == 'ag': format = 'traj' if repeat is None: command = 'ag' else: command = 'ag --repeat=%d,%d,%d' % tuple(repeat) repeat = None elif vwr == 'vmd': format = 'cube' command = 'vmd' elif vwr == 'rasmol': format = 'pdb' command = 'rasmol -pdb' elif vwr == 'xmakemol': format = 'xyz' command = 'xmakemol -f' elif vwr == 'gopenmol': format = 'xyz' command = 'rungOpenMol' elif vwr == 'avogadro': format = 'cube' command = 'avogadro' elif vwr == 'sage': from ase.visualize.sage import view_sage_jmol view_sage_jmol(atoms) return else: raise RuntimeError('Unknown viewer: ' + viewer) fd, filename = tempfile.mkstemp('.' + format, 'ase-') fd = os.fdopen(fd, 'w') if repeat is not None: atoms = atoms.repeat() if data is None: write(fd, atoms, format=format) else: write(fd, atoms, format=format, data=data) fd.close() if block: os.system('%s %s' % (command, filename)) else: os.system('%s %s &' % (command, filename)) os.system('(sleep 60; rm %s) &' % filename) python-ase-3.6.0.2515/ase/visualize/primiplotter.py0000644000175400017540000010540411575617122021102 0ustar askhlaskhl"""An experimental package for making plots during a simulation. A PrimiPlotter can plot a list of atoms on one or more output devices. """ from numpy import * from ase.visualize.colortable import color_table import ase.data import sys, os, time, weakref class PrimiPlotterBase: "Base class for PrimiPlotter and Povrayplotter." #def set_dimensions(self, dims): # "Set the size of the canvas (a 2-tuple)." # self.dims = dims def set_rotation(self, rotation): "Set the rotation angles (in degrees)." self.angles[:] = array(rotation) * (pi/180) def set_radii(self, radii): """Set the atomic radii. Give an array or a single number.""" self.radius = radii def set_colors(self, colors): """Explicitly set the colors of the atoms.""" self.colors = colors def set_color_function(self, colors): """Set a color function, to be used to color the atoms.""" if callable(colors): self.colorfunction = colors else: raise TypeError, "The color function is not callable." def set_invisible(self, inv): """Choose invisible atoms.""" self.invisible = inv def set_invisibility_function(self, invfunc): """Set an invisibility function.""" if callable(invfunc): self.invisibilityfunction = invfunc else: raise TypeError, "The invisibility function is not callable." def set_cut(self, xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None): self.cut = {"xmin":xmin, "xmax":xmax, "ymin":ymin, "ymax":ymax, "zmin":zmin, "zmax":zmax} def update(self, newatoms = None): """Cause a plot (respecting the interval setting). update causes a plot to be made. If the interval variable was specified when the plotter was create, it will only produce a plot with that interval. update takes an optional argument, newatoms, which can be used to replace the list of atoms with a new one. """ if newatoms is not None: self.atoms = newatoms if self.skipnext <= 0: self.plot() self.skipnext = self.interval self.skipnext -= 1 def set_log(self, log): """Sets a file for logging. log may be an open file or a filename. """ if hasattr(log, "write"): self.logfile = log self.ownlogfile = False else: self.logfile = open(log, "w") self.ownlogfile = True def log(self, message): """logs a message to the file set by set_log.""" if self.logfile is not None: self.logfile.write(message+"\n") self.logfile.flush() self._verb(message) def _verb(self, txt): if self.verbose: sys.stderr.write(txt+"\n") def _starttimer(self): self.starttime = time.time() def _stoptimer(self): elapsedtime = time.time() - self.starttime self.totaltime = self.totaltime + elapsedtime print "plotting time %s sec (total %s sec)" % (elapsedtime, self.totaltime) def _getpositions(self): return self.atoms.get_positions() def _getradii(self): if self.radius is not None: if hasattr(self.radius, "shape"): return self.radius # User has specified an array else: return self.radius * ones(len(self.atoms), float) # No radii specified. Try getting them from the atoms. try: return self.atoms.get_atomic_radii() except AttributeError: try: z = self._getatomicnumbers() except AttributeError: pass else: return ase.data.covalent_radii[z] # No radius available. Defaulting to 1.0 return ones(len(self.atoms), float) def _getatomicnumbers(self): return self.atoms.get_atomic_numbers() def _getcolors(self): # Try any explicitly given colors if self.colors is not None: if type(self.colors) == type({}): self.log("Explicit colors dictionary") return _colorsfromdict(self.colors, asarray(self.atoms.get_tags(),int)) else: self.log("Explicit colors") return self.colors # Try the color function, if given if self.colorfunction is not None: self.log("Calling color function.") return self.colorfunction(self.atoms) # Maybe the atoms know their own colors try: c = self.atoms.get_colors() except AttributeError: c = None if c is not None: if type(c) == type({}): self.log("Color dictionary from atoms.get_colors()") return _colorsfromdict(c, asarray(self.atoms.get_tags(),int)) else: self.log("Colors from atoms.get_colors()") return c # Default to white atoms self.log("No colors: using white") return ones(len(self.atoms), float) def _getinvisible(self): if self.invisible is not None: inv = self.invisible else: inv = zeros(len(self.atoms)) if self.invisibilityfunction: inv = logical_or(inv, self.invisibilityfunction(self.atoms)) r = self._getpositions() if len(r) > len(inv): # This will happen in parallel simulations due to ghost atoms. # They are invisible. Hmm, this may cause trouble. i2 = ones(len(r)) i2[:len(inv)] = inv inv = i2 del i2 if self.cut["xmin"] is not None: inv = logical_or(inv, less(r[:,0], self.cut["xmin"])) if self.cut["xmax"] is not None: inv = logical_or(inv, greater(r[:,0], self.cut["xmax"])) if self.cut["ymin"] is not None: inv = logical_or(inv, less(r[:,1], self.cut["ymin"])) if self.cut["ymax"] is not None: inv = logical_or(inv, greater(r[:,1], self.cut["ymax"])) if self.cut["zmin"] is not None: inv = logical_or(inv, less(r[:,2], self.cut["zmin"])) if self.cut["zmax"] is not None: inv = logical_or(inv, greater(r[:,2], self.cut["zmax"])) return inv def __del__(self): if self.ownlogfile: self.logfile.close() class PrimiPlotter(PrimiPlotterBase): """Primitive PostScript-based plots during a simulation. The PrimiPlotter plots atoms during simulations, extracting the relevant information from the list of atoms. It is created using the list of atoms as an argument to the constructor. Then one or more output devices must be attached using set_output(device). The list of supported output devices is at the end. The atoms are plotted as circles. The system is first rotated using the angles specified by set_rotation([vx, vy, vz]). The rotation is vx degrees around the x axis (positive from the y toward the z axis), then vy degrees around the y axis (from x toward z), then vz degrees around the z axis (from x toward y). The rotation matrix is the same as the one used by RasMol. Per default, the system is scaled so it fits within the canvas (autoscale mode). Autoscale mode is enabled and disables using autoscale("on") or autoscale("off"). A manual scale factor can be set with set_scale(scale), this implies autoscale("off"). The scale factor (from the last autoscale event or from set_scale) can be obtained with get_scale(). Finally, an explicit autoscaling can be triggered with autoscale("now"), this is mainly useful before calling get_scale or before disabling further autoscaling. Finally, a relative scaling factor can be set with SetRelativeScaling(), it is multiplied to the usual scale factor (from autoscale or from set_scale). This is probably only useful in connection with autoscaling. The radii of the atoms are obtained from the first of the following methods which work: 1. If the radii are specified using PrimiPlotter.set_radii(r), they are used. Must be an array, or a single number. 2. If the atoms has a get_atomic_radii() method, it is used. This is unlikely. 3. If the atoms has a get_atomic_numbers() method, the corresponding covalent radii are extracted from the ASE.ChemicalElements module. 4. If all else fails, the radius is set to 1.0 Angstrom. The atoms are colored using the first of the following methods which work. 1. If colors are explicitly set using PrimiPlotter.set_colors(), they are used. 2. If these colors are specified as a dictionary, the tags (from atoms.get_tags()) are used as an index into the dictionary to get the actual colors of the atoms. 3. If a color function has been set using PrimiPlotter.set_color_function(), it is called with the atoms as an argument, and is expected to return an array of colors. 4. If the atoms have a get_colors() method, it is used to get the colors. 5. If these colors are specified as a dictionary, the tags (from atoms.get_tags()) are used as an index into the dictionary to get the actual colors of the atoms. 6. If all else fails, the atoms will be white. The colors are specified as an array of colors, one color per atom. Each color is either a real number from 0.0 to 1.0, specifying a grayscale (0.0 = black, 1.0 = white), or an array of three numbers from 0.0 to 1.0, specifying RGB values. The colors of all atoms are thus a Numerical Python N-vector or a 3xN matrix. In cases 1a and 3a above, the keys of the dictionary are integers, and the values are either numbers (grayscales) or 3-vectors (RGB values), or strings with X11 color names, which are then translated to RGB values. Only in case 1a and 3a are strings recognized as colors. Some atoms may be invisible, and thus left out of the plot. Invisible atoms are determined from the following algorithm. Unlike the radius or the coloring, all points below are tried and if an atom is invisible by any criterion, it is left out of the plot. 1. All atoms are visible. 2. If PrimiPlotter.set_invisible() has be used to specify invisible atoms, any atoms for which the value is non-zero becomes invisible. 3. If an invisiblility function has been set with PrimiPlotter.set_invisibility_function(), it is called with the atoms as argument. It is expected to return an integer per atom, any non-zero value makes that atom invisible. 4. If a cut has been specified using set_cut, any atom outside the cut is made invisible. Note that invisible atoms are still included in the algorithm for positioning and scaling the plot. The following output devices are implemented. PostScriptFile(prefix): Create PS files names prefix0000.ps etc. PnmFile(prefix): Similar, but makes PNM files. GifFile(prefix): Similar, but makes GIF files. JpegFile(prefix): Similar, but makes JPEG files. X11Window(): Show the plot in an X11 window using ghostscript. Output devices writing to files take an extra optional argument to the constructor, compress, specifying if the output file should be gzipped. This is not allowed for some (already compressed) file formats. Instead of a filename prefix, a filename containing a % can be used. In that case the filename is expected to expand to a real filename when used with the Python string formatting operator (%) with the frame number as argument. Avoid generating spaces in the file names: use e.g. %03d instead of %3d. """ def __init__(self, atoms, verbose=0, timing=0, interval=1, initframe=0): """ Parameters to the constructor: atoms: The atoms to be plottet. verbose = 0: Write progress information to stderr. timing = 0: Collect timing information. interval = 1: If specified, a plot is only made every interval'th time update() is called. Deprecated, normally you should use the interval argument when attaching the plotter to e.g. the dynamics. initframe = 0: Initial frame number, i.e. the number of the first plot. """ self.atoms = atoms self.outputdevice = [] self.angles = zeros(3, float) self.dims = (512, 512) self.verbose = verbose self.timing = timing self.totaltime = 0.0 self.radius = None self.colors = None self.colorfunction = None self.n = initframe self.interval = interval self.skipnext = 0 # Number of calls to update before anything happens. self.a_scale = 1 self.relativescale = 1.0 self.invisible = None self.invisibilityfunction = None self.set_cut() # No cut self.isparallel = 0 self.logfile = None self.ownlogfile = False def set_output(self, device): self.outputdevice.append(device) device.set_dimensions(self.dims) device.set_owner(weakref.proxy(self)) def set_dimensions(self, dims): "Set the size of the canvas (a 2-tuple)." if self.outputdevice: raise RuntimeError("Cannot set dimensions after an output device has been specified.") self.dims = dims def autoscale(self, mode): if mode == "on": self.a_scale = 1 elif mode == "off": self.a_scale = 0 elif mode == "now": coords = self._rotate(self.atoms.get_positions()) radii = self._getradii() self._autoscale(coords, radii) else: raise ValueError, "Unknown autoscale mode: ",+str(mode) def set_scale(self, scale): self.autoscale("off") self.scale = scale def get_scale(self): return self.scale def set_relative_scale(self, rscale = 1.0): self.relativescale = rscale def plot(self): """Create a plot now. Does not respect the interval timer. This method makes a plot unconditionally. It does not look at the interval variable, nor is this plot taken into account in the counting done by the update() method if an interval variable was specified. """ if self.timing: self._starttimer() self.log("PrimiPlotter: Starting plot at " + time.strftime("%a, %d %b %Y %H:%M:%S")) colors = self._getcolors() invisible = self._getinvisible() coords = self._rotate(self._getpositions()) radii = self._getradii() if self.a_scale: self._autoscale(coords,radii) scale = self.scale * self.relativescale coords = scale * coords center = self._getcenter(coords) offset = array(self.dims + (0.0,))/2.0 - center coords = coords + offset self.log("Scale is %f and size is (%d, %d)" % (scale, self.dims[0], self.dims[1])) self.log("Physical size of plot is %f Angstrom times %f Angstrom" % (self.dims[0] / scale, self.dims[1] / scale)) self._verb("Sorting.") order = argsort(coords[:,2]) coords = coords[order] ### take(coords, order) radii = radii[order] ### take(radii, order) colors = colors[order] ### take(colors, order) invisible = invisible[order] ### take(invisible, order) if self.isparallel: id = arange(len(coords))[order] ### take(arange(len(coords)), order) else: id = None radii = radii * scale selector = self._computevisibility(coords, radii, invisible, id) coords = compress(selector, coords, 0) radii = compress(selector, radii) colors = compress(selector, colors, 0) self._makeoutput(scale, coords, radii, colors) self.log("PrimiPlotter: Finished plotting at " + time.strftime("%a, %d %b %Y %H:%M:%S")) self.log("\n\n") if self.timing: self._stoptimer() def _computevisibility(self, coords, rad, invisible, id, zoom = 1): xy = coords[:,:2] typradius = sum(rad) / len(rad) if typradius < 4.0: self.log("Refining visibility check.") if zoom >= 16: raise RuntimeError, "Cannot check visibility - too deep recursion." return self._computevisibility(xy*2, rad*2, invisible, id, zoom*2) else: self.log("Visibility(r_typ = %.1f pixels)" % (typradius,)) dims = array(self.dims) * zoom maxr = int(ceil(max(rad))) + 2 canvas = zeros((dims[0] + 4*maxr, dims[1] + 4*maxr), int8) # Atoms are only invisible if they are within the canvas, or closer # to its edge than their radius visible = (greater(xy[:,0], -rad) * less(xy[:,0], dims[0]+rad) * greater(xy[:,1], -rad) * less(xy[:,1], dims[1]+rad) * logical_not(invisible)) # Atoms are visible if not hidden behind other atoms xy = floor(xy + 2*maxr + 0.5).astype(int) masks = {} for i in xrange(len(rad)-1, -1, -1): if (i % 100000) == 0 and i: self._verb(str(i)) if not visible[i]: continue x, y = xy[i] r = rad[i] try: mask, invmask, rn = masks[r] except KeyError: rn = int(ceil(r)) nmask = 2*rn+1 mask = (arange(nmask) - rn)**2 mask = less(mask[:,newaxis]+mask[newaxis,:], r*r).astype(int8) invmask = equal(mask, 0).astype(int8) masks[r] = (mask, invmask, rn) window = logical_or(canvas[x-rn:x+rn+1, y-rn:y+rn+1], invmask) hidden = alltrue(window.flat) if hidden: visible[i] = 0 else: canvas[x-rn:x+rn+1, y-rn:y+rn+1] = logical_or(canvas[x-rn:x+rn+1, y-rn:y+rn+1], mask) self.log("%d visible, %d hidden out of %d" % (sum(visible), len(visible) - sum(visible), len(visible))) return visible def _rotate(self, positions): self.log("Rotation angles: %f %f %f" % tuple(self.angles)) mat = dot(dot(_rot(self.angles[2], 2), _rot(self.angles[1], 1)), _rot(self.angles[0]+pi, 0)) return dot(positions, mat) def _getcenter(self, coords): return array((max(coords[:,0]) + min(coords[:,0]), max(coords[:,1]) + min(coords[:,1]), 0.0)) / 2.0 def _autoscale(self, coords, radii): x = coords[:,0] y = coords[:,1] maxradius = max(radii) deltax = max(x) - min(x) + 2*maxradius deltay = max(y) - min(y) + 2*maxradius scalex = self.dims[0] / deltax scaley = self.dims[1] / deltay self.scale = 0.95 * min(scalex, scaley) self.log("Autoscale: %f" % self.scale) def _makeoutput(self, scale, coords, radii, colors): for device in self.outputdevice: device.inform_about_scale(scale) device.plot(self.n, coords, radii, colors) self.n = self.n + 1 class ParallelPrimiPlotter(PrimiPlotter): """A version of PrimiPlotter for parallel ASAP simulations. Used like PrimiPlotter, but only the output devices on the master node are used. Most of the processing is distributed on the nodes, but the actual output is only done on the master. See the PrimiPlotter docstring for details. """ def __init__(self, *args, **kwargs): apply(PrimiPlotter.__init__, (self,)+args, kwargs) self.isparallel = 1 import Scientific.MPI self.MPI = Scientific.MPI self.mpi = Scientific.MPI.world if self.mpi is None: raise RuntimeError, "MPI is not available." self.master = self.mpi.rank == 0 self.mpitag = 42 # Reduce chance of collision with other modules. def set_output(self, device): if self.master: PrimiPlotter.set_output(self, device) def set_log(self, log): if self.master: PrimiPlotter.set_log(self, log) def _getpositions(self): realpos = self.atoms.get_positions() ghostpos = self.atoms.GetGhostCartesianPositions() self.numberofrealatoms = len(realpos) self.numberofghostatoms = len(ghostpos) return concatenate((realpos, ghostpos)) def _getatomicnumbers(self): realz = self.atoms.get_atomic_numbers() ghostz = self.atoms.GetGhostAtomicNumbers() return concatenate((realz, ghostz)) def _getradius(self): r = PrimiPlotter._getradius(self) if len(r) == self.numberofrealatoms + self.numberofghostatoms: # Must have calculated radii from atomic numbers return r else: assert len(r) == self.numberofrealatoms # Heuristic: use minimum r for the ghosts ghostr = min(r) * ones(self.numberofghostatoms, float) return concatenate((r, ghostr)) def _getcenter(self, coords): # max(x) and min(x) only works for rank-1 arrays in Numeric version 17. maximal = maximum.reduce(coords[:,0:2]) minimal = minimum.reduce(coords[:,0:2]) recvmax = zeros(2, maximal.typecode()) recvmin = zeros(2, minimal.typecode()) self.mpi.allreduce(maximal, recvmax, self.MPI.max) self.mpi.allreduce(minimal, recvmin, self.MPI.min) maxx, maxy = recvmax minx, miny = recvmin return array([maxx + minx, maxy + miny, 0.0]) / 2.0 def _computevisibility(self, xy, rad, invisible, id, zoom = 1): # Find visible atoms, allowing ghost atoms to hide real atoms. v = PrimiPlotter._computevisibility(self, xy, rad, invisible, id, zoom) # Then remove ghost atoms return v * less(id, self.numberofrealatoms) def _autoscale(self, coords, radii): self._verb("Autoscale") n = len(self.atoms) x = coords[:n,0] y = coords[:n,1] assert len(x) == len(self.atoms) maximal = array([max(x), max(y), max(radii[:n])]) minimal = array([min(x), min(y)]) recvmax = zeros(3, maximal.typecode()) recvmin = zeros(2, minimal.typecode()) self.mpi.allreduce(maximal, recvmax, self.MPI.max) self.mpi.allreduce(minimal, recvmin, self.MPI.min) maxx, maxy, maxradius = recvmax minx, miny = recvmin deltax = maxx - minx + 2*maxradius deltay = maxy - miny + 2*maxradius scalex = self.dims[0] / deltax scaley = self.dims[1] / deltay self.scale = 0.95 * min(scalex, scaley) self.log("Autoscale: %f" % self.scale) def _getcolors(self): col = PrimiPlotter._getcolors(self) nghost = len(self.atoms.GetGhostCartesianPositions()) newcolshape = (nghost + col.shape[0],) + col.shape[1:] newcol = zeros(newcolshape, col.typecode()) newcol[:len(col)] = col return newcol def _makeoutput(self, scale, coords, radii, colors): if len(colors.shape) == 1: # Greyscales ncol = 1 else: ncol = colors.shape[1] # 1 or 3. assert ncol == 3 # RGB values # If one processor says RGB, all must convert ncolthis = array([ncol]) ncolmax = zeros((1,), ncolthis.typecode()) self.mpi.allreduce(ncolthis, ncolmax, self.MPI.max) ncolmax = ncolmax[0] if ncolmax > ncol: assert ncol == 1 colors = colors[:,newaxis] + zeros(ncolmax)[newaxis,:] ncol = ncolmax assert colors.shape == (len(coords), ncol) # Now send data from slaves to master data = zeros((len(coords)+1, 4+ncol), float) data[:-1,:3] = coords data[:-1,3] = radii data[-1,-1] = 4+ncol # Used to communicate shape if ncol == 1: data[:-1,4] = colors else: data[:-1,4:] = colors if not self.master: self.mpi.send(data, 0, self.mpitag) else: total = [data[:-1]] # Last row is the dimensions. n = len(coords) colsmin = colsmax = 4+ncol for proc in range(1, self.mpi.size): self._verb("Receiving from processor "+str(proc)) fdat = self.mpi.receive(float, proc, self.mpitag)[0] fdat.shape = (-1, fdat[-1]) fdat = fdat[:-1] # Last row is the dimensions. total.append(fdat) n = n + len(fdat) if fdat.shape[1] < colsmin: colsmin = fdat.shape[1] if fdat.shape[1] > colsmax: colsmax = fdat.shape[1] self._verb("Merging data") # Some processors may have only greyscales whereas others # may have RGB. That will cause difficulties. trouble = colsmax != colsmin data = zeros((n, colsmax), float) if trouble: assert data.shape[1] == 7 else: assert data.shape[1] == 7 or data.shape[1] == 5 i = 0 for d in total: if not trouble or d.shape[1] == 7: data[i:i+len(d)] = d else: assert d.shape[1] == 5 data[i:i+len(d), :5] = d data[i:i+len(d), 5] = d[4] data[i:i+len(d), 6] = d[4] i = i + len(d) assert i == len(data) # Now all data is on the master self._verb("Sorting merged data") order = argsort(data[:,2]) data = data[order] ### take(data, order) coords = data[:,:3] radii = data[:,3] if data.shape[1] == 5: colors = data[:,4] else: colors = data[:,4:] PrimiPlotter._makeoutput(self, scale, coords, radii, colors) class _PostScriptDevice: """PostScript based output device.""" offset = (0,0) # Will be changed by some classes def __init__(self): self.scale = 1 self.linewidth = 1 self.outline = 1 def set_dimensions(self, dims): self.dims = dims def set_owner(self, owner): self.owner = owner def inform_about_scale(self, scale): self.linewidth = 0.1 * scale def set_outline(self, value): self.outline = value return self # Can chain these calls in set_output() def plot(self, *args, **kargs): self.Doplot(self.PSplot, *args, **kargs) def plotArray(self, *args, **kargs): self.Doplot(self.PSplotArray, *args, **kargs) def PSplot(self, file, n, coords, r, colors, noshowpage=0): xy = coords[:,:2] assert(len(xy) == len(r) and len(xy) == len(colors)) if len(colors.shape) == 1: gray = 1 else: gray = 0 assert(colors.shape[1] == 3) file.write("%!PS-Adobe-2.0\n") file.write("%%Creator: Primiplot\n") file.write("%%Pages: 1\n") file.write("%%%%BoundingBox: %d %d %d %d\n" % (self.offset + (self.offset[0] + self.dims[0], self.offset[1] + self.dims[1]))) file.write("%%EndComments\n") file.write("\n") file.write("% Enforce BoundingBox\n") file.write("%d %d moveto %d 0 rlineto 0 %d rlineto -%d 0 rlineto\n" % ((self.offset + self.dims + (self.dims[0],)))) file.write("closepath clip newpath\n\n") file.write("%f %f scale\n" % (2*(1.0/self.scale,))) file.write("%d %d translate\n" % (self.scale * self.offset[0], self.scale * self.offset[1])) file.write("\n") if gray: if self.outline: file.write("/circ { 0 360 arc gsave setgray fill grestore stroke } def\n") else: file.write("/circ { 0 360 arc setgray fill } def\n") else: if self.outline: file.write("/circ { 0 360 arc gsave setrgbcolor fill grestore stroke } def\n") else: file.write("/circ { 0 360 arc setrgbcolor fill } def\n") file.write("%f setlinewidth 0.0 setgray\n" % (self.linewidth * self.scale,)) if gray: data = zeros((len(xy), 4), float) data[:,0] = colors data[:,1:3] = (self.scale * xy) data[:,3] = (self.scale * r) for point in data: file.write("%.3f %.2f %.2f %.2f circ\n" % tuple(point)) else: data = zeros((len(xy), 6), float) data[:,0:3] = colors data[:,3:5] = (self.scale * xy) data[:,5] = (self.scale * r) for point in data: file.write("%.3f %.3f %.3f %.2f %.2f %.2f circ\n" % tuple(point)) if not noshowpage: file.write("showpage\n") def PSplotArray(self, file, n, data, noshowpage=0): assert(len(data.shape) == 3) assert(data.shape[0] == self.dims[1] and data.shape[1] == self.dims[0]) data = clip((256*data).astype(int), 0, 255) file.write("%!PS-Adobe-2.0\n") file.write("%%Creator: Fieldplotter\n") file.write("%%Pages: 1\n") file.write("%%%%BoundingBox: %d %d %d %d\n" % (self.offset + (self.offset[0] + self.dims[0], self.offset[1] + self.dims[1]))) file.write("%%EndComments\n") file.write("\n") file.write("%d %d translate\n" % self.offset) file.write("%f %f scale\n" % self.dims) file.write("\n") file.write("% String holding a single line\n") file.write("/pictline %d string def\n" %(data.shape[1]*data.shape[2],)) file.write("\n") file.write("%d %d 8\n" % self.dims) file.write("[%d 0 0 %d 0 0]\n" % self.dims) file.write("{currentfile pictline readhexstring pop}\n") file.write("false %d colorimage\n" % (data.shape[2],)) file.write("\n") s = "" for d in data.flat: s += ("%02X" % d) if len(s) >= 72: file.write(s+"\n") s = "" file.write(s+"\n") file.write("\n") if not noshowpage: file.write("showpage\n") class _PostScriptToFile(_PostScriptDevice): """Output device for PS files.""" compr_suffix = None def __init__(self, prefix, compress = 0): self.compress = compress if "'" in prefix: raise ValueError, "Filename may not contain a quote ('): "+prefix if "%" in prefix: # Assume the user knows what (s)he is doing self.filenames = prefix else: self.filenames = prefix + "%04d" + self.suffix if compress: if self.compr_suffix is None: raise RuntimeError, "Compression not supported." self.filenames = self.filenames + self.compr_suffix _PostScriptDevice.__init__(self) class PostScriptFile(_PostScriptToFile): suffix = ".ps" compr_suffix = ".gz" offset = (50,50) # Inherits __init__ def Doplot(self, plotmethod, n, *args, **kargs): filename = self.filenames % (n,) self.owner.log("Output to PostScript file "+filename) if self.compress: file = os.popen("gzip > '"+filename+"'", "w") else: file = open(filename, "w") apply(plotmethod, (file, n)+args, kargs) file.close() class _PS_via_PnmFile(_PostScriptToFile): gscmd = "gs -q -sDEVICE=pnmraw -sOutputFile=- -dDEVICEWIDTH=%d -dDEVICEHEIGHT=%d - " # Inherits __init__ def Doplot(self, plotmethod, n, *args, **kargs): filename = self.filenames % (n,) self.owner.log("Output to bitmapped file " + filename) cmd = self.gscmd + self.converter if self.compress: cmd = cmd + "| gzip " cmd = (cmd+" > '%s'") % (self.dims[0], self.dims[1], filename) file = os.popen(cmd, "w") apply(plotmethod, (file, n)+args, kargs) file.close() class PnmFile(_PS_via_PnmFile): suffix = ".pnm" compr_suffix = ".gz" converter = "" class GifFile(_PS_via_PnmFile): suffix = ".gif" converter = "| ppmquant -floyd 256 2>/dev/null | ppmtogif 2>/dev/null" class JpegFile(_PS_via_PnmFile): suffix = ".jpeg" converter = "| ppmtojpeg --smooth=5" class X11Window(_PostScriptDevice): """Shows the plot in an X11 window.""" #Inherits __init__ gscmd = "gs -q -sDEVICE=x11 -dDEVICEWIDTH=%d -dDEVICEHEIGHT=%d -r72x72 -" def Doplot(self, plotmethod, n, *args, **kargs): self.owner.log("Output to X11 window") try: file = self.pipe self.pipe.write("showpage\n") except AttributeError: filename = self.gscmd % tuple(self.dims) file = os.popen(filename, "w") self.pipe = file kargs["noshowpage"] = 1 apply(plotmethod, (file, n)+args, kargs) file.write("flushpage\n") file.flush() # Helper functions def _rot(v, axis): ax1, ax2 = ((1, 2), (0, 2), (0, 1))[axis] c, s = cos(v), sin(v) m = zeros((3,3), float) m[axis,axis] = 1.0 m[ax1,ax1] = c m[ax2,ax2] = c m[ax1,ax2] = s m[ax2,ax1] = -s return m def _colorsfromdict(dict, cls): """Extract colors from dictionary using cls as key.""" assert(type(dict) == type({})) # Allow local modifications, to replace strings with rgb values. dict = dict.copy() isgray, isrgb = 0, 0 for k in dict.keys(): v = dict[k] if type(v) == type("string"): v = color_table[v] dict[k] = v try: if len(v) == 3: isrgb = 1 # Assume it is an RGB value if not hasattr(v, "shape"): dict[k] = array(v) # Convert to array else: raise RuntimeError, "Unrecognized color object "+repr(v) except TypeError: isgray = 1 # Assume it is a number if isgray and isrgb: # Convert all to RGB for k in dict.keys(): v = dict[k] if not hasattr(v, "shape"): dict[k] = v * ones(3, float) # Now the dictionary is ready if isrgb: colors = zeros((len(cls),3), float) else: colors = zeros((len(cls),), float) for i in xrange(len(cls)): colors[i] = dict[cls[i]] return colors python-ase-3.6.0.2515/ase/visualize/fieldplotter.py0000644000175400017540000002556411150750761021051 0ustar askhlaskhl"""plotting fields defined on atoms during a simulation.""" from ase.visualize.primiplotter import PostScriptFile, PnmFile, GifFile, JpegFile, X11Window from ase.visualize.primiplotter import PrimiPlotter as _PrimiPlotter import numpy import time class FieldPlotter(_PrimiPlotter): def __init__(self, atoms, datasource=None, verbose=0, timing=0, interval=1, initframe=0): _PrimiPlotter.__init__(self, atoms, verbose=verbose, timing=timing, interval=interval, initframe=initframe) self.datasource = datasource self.dims = (100,100) self.set_plot_plane("xy") self.set_data_range("plot") self.set_background(0.0) self.set_red_yellow_colors() def set_plot_plane(self, plane): """Set the plotting plane to xy, xz or yz (default: xy)""" if plane in ("xy", "xz", "yz"): self.plane = plane else: raise ValueError, "The argument to plotPlane must be 'xy', 'xz' or 'yz'." def set_data_range(self, range1, range2=None): """Set the range of the data used when coloring. This function sets the range of data values mapped unto colors in the final plot. Three possibilities: 'data': Autoscale using the data on visible atoms. The range goes from the lowest to the highest value present on the atoms. If only a few atoms have extreme values, the entire color range may not be used on the plot, as many values may be averaged on each point in the plot. 'plot': Autoscale using the data on the plot. Unlike 'data' this guarantees that the entire color range is used. min, max: Use the range [min, max] """ if (range1 == "data" or range1 == "plot") and range2 == None: self.autorange = range1 elif range2 != None: self.autorange = None self.range = (range1, range2) else: raise ValueError, "Illegal argument(s) to set_data_range" def set_background(self, value): """Set the data value of the background. See also set_background_color Set the value of the background (parts of the plot without atoms) to a specific value, or to 'min' or 'max' representing the minimal or maximal data values on the atoms. Calling set_background cancels previous calls to set_background_color. """ self.background = value self.backgroundcolor = None def set_background_color(self, color): """Set the background color. See also set_background. Set the background color. Use a single value in the range [0, 1[ for gray values, or a tuple of three such values as an RGB color. Calling set_background_color cancels previous calls to set_background. """ self.background = None self.backgroundcolor = color def set_red_yellow_colors(self, reverse=False): """Set colors to Black-Red-Yellow-White (a.k.a. STM colors)""" self.set_colors([(0.0, 0, 0, 0), (0.33, 1, 0, 0), (0.66, 1, 1, 0), (1.0, 1, 1, 1)], reverse) def set_black_white_colors(self, reverse=False): """Set the color to Black-White (greyscale)""" self.set_colors([(0.0, 0), (1.0, 1)], reverse) def set_colors(self, colors, reverse=False): colors = numpy.array(colors, numpy.float) if len(colors.shape) != 2: raise ValueError, "Colors must be a 2D array." if reverse: colors[:,0] = 1 - colors[:,0] colors = numpy.array(colors[::-1,:]) #print colors if colors[0,0] != 0.0 or colors[-1,0] != 1.0: raise ValueError, "First row must define the value 0 and last row must define the value 1" if colors.shape[1] == 2: self.colormode = 1 elif colors.shape[1] == 4: self.colormode = 3 else: raise ValueError, "Color specification must be Nx2 (grey) or Nx4 (rgb) matrix." self.colorfunction = InterpolatingFunction(colors[:,0], colors[:,1:]) def plot(self, data=None): """Create a plot now. Does not respect the interval timer. This method makes a plot unconditionally. It does not look at the interval variable, nor is this plot taken into account in the counting done by the update() method if an interval variable was specified. If data is specified, it must be an array of numbers with the same length as the atoms. That data will then be plotted. If no data is given, the data source specified when creating the plotter is used. """ if self.timing: self._starttimer() self.log("FieldPlotter: Starting plot at " + time.strftime("%a, %d %b %Y %H:%M:%S")) if data is None: data = self.datasource() if len(data) != len(self.atoms): raise ValueError, ("Data has wrong length: %d instead of %d." % (len(data), len(self.atoms))) invisible = self._getinvisible() coords = self._rotate(self._getpositions()) radii = self._getradii() if self.autoscale: self._autoscale(coords,radii) scale = self.scale * self.relativescale coords = scale * coords center = self._getcenter(coords) offset = numpy.array(self.dims + (0.0,))/2.0 - center coords = coords + offset radii = radii * scale self.log("Scale is %f and size is (%d, %d)" % (scale, self.dims[0], self.dims[1])) self.log("Physical size of plot is %f Angstrom times %f Angstrom" % (self.dims[0] / scale, self.dims[1] / scale)) # Remove invisible atoms selector = numpy.logical_not(invisible) coords = numpy.compress(selector, coords, 0) radii = numpy.compress(selector, radii) data = numpy.compress(selector, data) self.log("plotting data in the range [%f,%f]" % (data.min(), data.max())) # Now create the output array sumarray = numpy.zeros(self.dims, numpy.float) weight = numpy.zeros(self.dims) # Loop over all atoms, and plot them nmiss = 0 if self.plane == "xy": xy = coords[:,:2] elif self.plane == "xz": xy = coords[:,::2] elif self.plane == "yz": xy = coords[:,1:] else: raise RuntimeError, "self.plane is bogus: "+str(self.plane) assert xy.shape[1] == 2 self.log("plotting %d atoms on %d * %d (= %d) grid" % (len(xy), sumarray.shape[0], sumarray.shape[1], len(sumarray.flat))) xy = xy.astype(numpy.int) for i in xrange(len(xy)): (x, y) = xy[i] d = data[i] if (x >= 0 and x < self.dims[0] and y >= 0 and y < self.dims[1]): sumarray[x,y] += d weight[x,y] += 1 else: nmiss += 1 print "... %d atoms fell outside plot." % (nmiss,) datamap = self._makedatamap(sumarray, weight, data.min(), data.max()) self.log("Range of data map: [%f, %f]" % (datamap.min(), datamap.max())) plot = self._makeplotmap(datamap, weight) #self.log("Range of plot: [%f, %f]" % # (min(plot.flat), max(plot.flat))) examinplot = plot[:] examinplot.shape = (plot.shape[0] * plot.shape[1],) + plot.shape[2:] self.log("Range of plot: %s -> %s" % (str(examinplot.min(0)), str(examinplot.max(0)))) del examinplot for device in self.outputdevice: device.inform_about_scale(scale) device.plotArray(self.n, numpy.swapaxes(plot,0,1)) self.n = self.n + 1 self.log("FieldPlotter: Finished plotting at " + time.strftime("%a, %d %b %Y %H:%M:%S")) self.log("\n\n") def _makedatamap(self, sumarray, weight, minimum, maximum): background = numpy.equal(weight, 0) print "Number of background points:", sum(background.flat) datamap = sumarray / numpy.where(background, 1, weight) if self.background is not None: if self.background == "min": bg = minimum elif self.background == "max": bg = maximum else: bg = self.background datamap = numpy.where(background, bg, datamap) if self.autorange == "data": datamap = (datamap - minimum) / (maximum - minimum) self.log("Autorange using data. Data range is [%f, %f]" % (minimum, maximum)) elif self.autorange == "plot": ma = numpy.where(background, minimum, datamap).max() mi = numpy.where(background, maximum, datamap).min() datamap = (datamap - mi) / (ma - mi) self.log("Autorange using plot. Data range is [%f, %f]" % (mi, ma)) else: assert self.autorange == None datamap = (datamap - self.range[0]) / (self.range[1] - self.range[0]) datamap = numpy.clip(datamap, 0.0, 1.0) self.log("Data range specified by user: [%f, %f]" % self.range) datamap = numpy.where(background, bg, datamap) assert datamap.min() >= 0 and datamap.max() <= 1.0 return datamap def _makeplotmap(self, datamap, weight): plot = numpy.zeros(self.dims + (self.colormode,), numpy.float) for i in range(self.dims[0]): for j in range(self.dims[1]): if self.backgroundcolor is not None and weight[i,j] == 0: plot[i,j,:] = self.backgroundcolor else: x = datamap[i,j] plot[i,j,:] = self.colorfunction(x) return plot class InterpolatingFunction: def __init__(self, xpoints, ypoints): if len(xpoints) != len(ypoints): raise ValueError, "Length of x and y arrays should be the same." idx = xpoints.argsort() self.xpoints = xpoints[idx] self.ypoints = ypoints[idx] def __call__(self, x): n = self.xpoints.searchsorted(x) if n == 0: return self.ypoints[0] if n == len(self.xpoints): return self.xpoints[-1] x0 = self.xpoints[n-1] x1 = self.xpoints[n] y0 = self.ypoints[n-1] y1 = self.ypoints[n] return y0 + (y1 - y0) / (x1 - x0) * (x - x0) python-ase-3.6.0.2515/ase/visualize/vtk/0000755000175400017540000000000011757245034016577 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/visualize/vtk/__init__.py0000644000175400017540000000207611171354364020712 0ustar askhlaskhltry: import vtk hasvtk = True hasmpi = hasattr(vtk, 'vtkMPIController') except ImportError: hasvtk = False hasmpi = False def requirevtk(code=0, parallel=False): from ase.test import NotAvailable if not hasvtk: # VTK required but not installed, force termination # with exit status determined by the code argument. raise NotAvailable('VTK is not installed.', code) if parallel and not hasmpi: # VTK MPI required but not installed, force termination # with exit status determined by the code argument. raise NotAvailable('VTK is not MPI compatible.', code) def probe_vtk_kilobyte(default=None): if not hasvtk: return default from vtk import vtkCharArray vtk_da = vtkCharArray() vtk_da.SetNumberOfComponents(1) vtk_da.SetNumberOfTuples(1024**2) # Size of 1 MB = 1024**2 bytes in "VTK kilobytes" size = vtk_da.GetActualMemorySize() if size == 1024: return 1024 elif round(abs(size-1024**2/1e3)) == 0: return 1e3 else: return default python-ase-3.6.0.2515/ase/visualize/vtk/data.py0000644000175400017540000001617511215435733020070 0ustar askhlaskhl import numpy as np from numpy.ctypeslib import ctypes from vtk import vtkDataArray, vtkFloatArray, vtkDoubleArray if ctypes is None: class CTypesEmulator: def __init__(self): self._SimpleCData = np.number self.c_float = np.float32 self.c_double = np.float64 try: import ctypes except ImportError: ctypes = CTypesEmulator() # ------------------------------------------------------------------- class vtkNumPyBuffer: def __init__(self, data): self.strbuf = data.tostring() self.nitems = len(data.flat) def __len__(self): return self.nitems def get_pointer(self): # Any C/C++ method that requires a void * can be passed a Python # string. No check is done to ensure that the string is the correct # size, and the string's reference count is not incremented. Extreme # caution should be applied when using this feature. return self.strbuf def notify(self, obj, event): if event == 'DeleteEvent': del self.strbuf else: raise RuntimeError('Event not recognized.') class vtkDataArrayFromNumPyBuffer: def __init__(self, vtk_class, ctype, data=None): assert issubclass(ctype, ctypes._SimpleCData) self.ctype = ctype self.vtk_da = vtk_class() assert isinstance(self.vtk_da, vtkDataArray) assert self.vtk_da.GetDataTypeSize() == np.nbytes[np.dtype(self.ctype)] if data is not None: self.read_numpy_array(data) def read_numpy_array(self, data): if not isinstance(data, np.ndarray): data = np.array(data, dtype=self.ctype) if data.dtype != self.ctype: # NB: "is not" gets it wrong data = data.astype(self.ctype) self.vtk_da.SetNumberOfComponents(data.shape[-1]) # Passing the void* buffer to the C interface does not increase # its reference count, hence the buffer is deleted by Python when # the reference count of the string from tostring reaches zero. # Also, the boolean True tells VTK to save (not delete) the buffer # when the VTK data array is deleted - we want Python to do this. npybuf = vtkNumPyBuffer(data) self.vtk_da.SetVoidArray(npybuf.get_pointer(), len(npybuf), True) self.vtk_da.AddObserver('DeleteEvent', npybuf.notify) def get_output(self): return self.vtk_da def copy(self): vtk_da_copy = self.vtk_da.NewInstance() vtk_da_copy.SetNumberOfComponents(self.vtk_da.GetNumberOfComponents()) vtk_da_copy.SetNumberOfTuples(self.vtk_da.GetNumberOfTuples()) assert vtk_da_copy.GetSize() == self.vtk_da.GetSize() vtk_da_copy.DeepCopy(self.vtk_da) return vtk_da_copy # ------------------------------------------------------------------- class vtkDataArrayFromNumPyArray(vtkDataArrayFromNumPyBuffer): """Class for reading vtkDataArray from 1D or 2D NumPy array. This class can be used to generate a vtkDataArray from a NumPy array. The NumPy array should be of the form x where 'number of components' indicates the number of components in each entry in the vtkDataArray. Note that this form is also expected even in the case of only a single component. """ def __init__(self, vtk_class, ctype, data=None, buffered=True): self.buffered = buffered vtkDataArrayFromNumPyBuffer.__init__(self, vtk_class, ctype, data) def read_numpy_array(self, data): """Read vtkDataArray from NumPy array""" if not isinstance(data, np.ndarray): data = np.array(data, dtype=self.ctype) if data.dtype != self.ctype: # NB: "is not" gets it wrong data = data.astype(self.ctype) if data.ndim == 1: data = data[:, np.newaxis] elif data.ndim != 2: raise ValueError('Data must be a 1D or 2D NumPy array.') if self.buffered: vtkDataArrayFromNumPyBuffer.read_numpy_array(self, data) else: self.vtk_da.SetNumberOfComponents(data.shape[-1]) self.vtk_da.SetNumberOfTuples(data.shape[0]) for i, d_c in enumerate(data): for c, d in enumerate(d_c): self.vtk_da.SetComponent(i, c, d) class vtkFloatArrayFromNumPyArray(vtkDataArrayFromNumPyArray): def __init__(self, data): vtkDataArrayFromNumPyArray.__init__(self, vtkFloatArray, ctypes.c_float, data) class vtkDoubleArrayFromNumPyArray(vtkDataArrayFromNumPyArray): def __init__(self, data): vtkDataArrayFromNumPyArray.__init__(self, vtkDoubleArray, ctypes.c_double, data) # ------------------------------------------------------------------- class vtkDataArrayFromNumPyMultiArray(vtkDataArrayFromNumPyBuffer): """Class for reading vtkDataArray from a multi-dimensional NumPy array. This class can be used to generate a vtkDataArray from a NumPy array. The NumPy array should be of the form x where 'number of components' indicates the number of components in each gridpoint in the vtkDataArray. Note that this form is also expected even in the case of only a single component. """ def __init__(self, vtk_class, ctype, data=None, buffered=True): self.buffered = buffered vtkDataArrayFromNumPyBuffer.__init__(self, vtk_class, ctype, data) def read_numpy_array(self, data): """Read vtkDataArray from NumPy array""" if not isinstance(data, np.ndarray): data = np.array(data, dtype=self.ctype) if data.dtype != self.ctype: # NB: "is not" gets it wrong data = data.astype(self.ctype) if data.ndim <=2: raise Warning('This is inefficient for 1D and 2D NumPy arrays. ' + 'Use a vtkDataArrayFromNumPyArray subclass instead.') if self.buffered: # This is less than ideal, but will not copy data (uses views). # To get the correct ordering, the grid dimensions have to be # transposed without moving the last dimension (the components). n = data.ndim-1 for c in range(n//2): data = data.swapaxes(c,n-1-c) vtkDataArrayFromNumPyBuffer.read_numpy_array(self, data) else: self.vtk_da.SetNumberOfComponents(data.shape[-1]) self.vtk_da.SetNumberOfTuples(np.prod(data.shape[:-1])) for c, d_T in enumerate(data.T): for i, d in enumerate(d_T.flat): self.vtk_da.SetComponent(i, c, d) class vtkFloatArrayFromNumPyMultiArray(vtkDataArrayFromNumPyMultiArray): def __init__(self, data): vtkDataArrayFromNumPyMultiArray.__init__(self, vtkFloatArray, ctypes.c_float, data) class vtkDoubleArrayFromNumPyMultiArray(vtkDataArrayFromNumPyMultiArray): def __init__(self, data): vtkDataArrayFromNumPyMultiArray.__init__(self, vtkDoubleArray, ctypes.c_double, data) python-ase-3.6.0.2515/ase/visualize/vtk/grid.py0000644000175400017540000002551511230537506020100 0ustar askhlaskhl import numpy as np from vtk import vtkPointData, vtkDataArray, vtkUnstructuredGrid, vtkPoints, \ vtkIdList, vtkStructuredPoints from ase.visualize.vtk.cell import vtkUnitCellModule from ase.visualize.vtk.data import vtkDataArrayFromNumPyBuffer, \ vtkDoubleArrayFromNumPyArray, \ vtkDoubleArrayFromNumPyMultiArray # ------------------------------------------------------------------- class vtkBaseGrid: def __init__(self, npoints, cell): self.npoints = npoints # Make sure cell argument is correct type assert isinstance(cell, vtkUnitCellModule) self.cell = cell self.vtk_pointdata = None def set_point_data(self, vtk_pointdata): if self.vtk_pointdata is not None: raise RuntimeError('VTK point data already present.') assert isinstance(vtk_pointdata, vtkPointData) self.vtk_pointdata = vtk_pointdata #self.vtk_pointdata.SetCopyScalars(False) #self.vtk_pointdata.SetCopyVectors(False) #self.vtk_pointdata.SetCopyNormals(False) def get_point_data(self): if self.vtk_pointdata is None: raise RuntimeError('VTK point data missing.') return self.vtk_pointdata def get_number_of_points(self): return self.npoints def add_scalar_data_array(self, data, name=None, active=True): # Are we converting from NumPy buffer to VTK array? if isinstance(data, vtkDataArray): vtk_sda = data elif isinstance(data, vtkDataArrayFromNumPyBuffer): vtk_sda = data.get_output() else: raise ValueError('Data is not a valid scalar data array.') del data assert vtk_sda.GetNumberOfComponents() == 1 assert vtk_sda.GetNumberOfTuples() == self.npoints if name is not None: vtk_sda.SetName(name) # Add VTK array to VTK point data self.vtk_pointdata.AddArray(vtk_sda) if active: self.vtk_pointdata.SetActiveScalars(name) return vtk_sda def add_vector_data_array(self, data, name=None, active=True): # Are we converting from NumPy buffer to VTK array? if isinstance(data, vtkDataArray): vtk_vda = data elif isinstance(data, vtkDataArrayFromNumPyBuffer): vtk_vda = data.get_output() else: raise ValueError('Data is not a valid vector data array.') del data assert vtk_vda.GetNumberOfComponents() == 3 assert vtk_vda.GetNumberOfTuples() == self.npoints if name is not None: vtk_vda.SetName(name) # Add VTK array to VTK point data self.vtk_pointdata.AddArray(vtk_vda) if active: self.vtk_pointdata.SetActiveVectors(name) return vtk_vda # ------------------------------------------------------------------- class vtkAtomicPositions(vtkBaseGrid): """Provides an interface for adding ``Atoms``-centered data to VTK modules. Atomic positions, e.g. obtained using atoms.get_positions(), constitute an unstructured grid in VTK, to which scalar and vector can be added as point data sets. Just like ``Atoms``, instances of ``vtkAtomicPositions`` can be divided into subsets, which makes it easy to select atoms and add properties. Example: >>> cell = vtkUnitCellModule(atoms) >>> apos = vtkAtomicPositions(atoms.get_positions(), cell) >>> apos.add_scalar_property(atoms.get_charges(), 'charges') >>> apos.add_vector_property(atoms.get_forces(), 'forces') """ def __init__(self, pos, cell): """Construct basic VTK-representation of a set of atomic positions. pos: NumPy array of dtype float and shape ``(n,3)`` Cartesian positions of the atoms. cell: Instance of vtkUnitCellModule of subclass thereof Holds information equivalent to that of atoms.get_cell(). """ # Make sure position argument is a valid array if not isinstance(pos, np.ndarray): pos = np.array(pos) assert pos.dtype == float and pos.shape[1:] == (3,) vtkBaseGrid.__init__(self, len(pos), cell) # Convert positions to VTK array npy2da = vtkDoubleArrayFromNumPyArray(pos) vtk_pda = npy2da.get_output() del npy2da # Transfer atomic positions to VTK points self.vtk_pts = vtkPoints() self.vtk_pts.SetData(vtk_pda) # Create a VTK unstructured grid of these points self.vtk_ugd = vtkUnstructuredGrid() self.vtk_ugd.SetWholeBoundingBox(self.cell.get_bounding_box()) self.vtk_ugd.SetPoints(self.vtk_pts) # Extract the VTK point data set self.set_point_data(self.vtk_ugd.GetPointData()) def get_points(self, subset=None): """Return (subset of) vtkPoints containing atomic positions. subset=None: list of int A list of indices into the atomic positions; ignored if None. """ if subset is None: return self.vtk_pts # Create a list of indices from the subset vtk_il = vtkIdList() for i in subset: vtk_il.InsertNextId(i) # Allocate VTK points for subset vtk_subpts = vtkPoints() vtk_subpts.SetDataType(self.vtk_pts.GetDataType()) vtk_subpts.SetNumberOfPoints(vtk_il.GetNumberOfIds()) # Transfer subset of VTK points self.vtk_pts.GetPoints(vtk_il, vtk_subpts) return vtk_subpts def get_unstructured_grid(self, subset=None): """Return (subset of) an unstructured grid of the atomic positions. subset=None: list of int A list of indices into the atomic positions; ignored if None. """ if subset is None: return self.vtk_ugd # Get subset of VTK points vtk_subpts = self.get_points(subset) # Create a VTK unstructured grid of these points vtk_subugd = vtkUnstructuredGrid() vtk_subugd.SetWholeBoundingBox(self.cell.get_bounding_box()) vtk_subugd.SetPoints(vtk_subpts) return vtk_subugd def add_scalar_property(self, data, name=None, active=True): """Add VTK-representation of scalar data at the atomic positions. data: NumPy array of dtype float and shape ``(n,)`` Scalar values corresponding to the atomic positions. name=None: str Unique identifier for the scalar data. active=True: bool Flag indicating whether to use as active scalar data. """ # Make sure data argument is a valid array if not isinstance(data, np.ndarray): data = np.array(data) assert data.dtype == float and data.shape == (self.npoints,) # Convert scalar properties to VTK array npa2da = vtkDoubleArrayFromNumPyArray(data) return vtkBaseGrid.add_scalar_data_array(self, npa2da, name, active) def add_vector_property(self, data, name=None, active=True): """Add VTK-representation of vector data at the atomic positions. data: NumPy array of dtype float and shape ``(n,3)`` Vector components corresponding to the atomic positions. name=None: str Unique identifier for the vector data. active=True: bool Flag indicating whether to use as active vector data. """ # Make sure data argument is a valid array if not isinstance(data, np.ndarray): data = np.array(data) assert data.dtype == float and data.shape == (self.npoints,3,) # Convert vector properties to VTK array npa2da = vtkDoubleArrayFromNumPyArray(data) return vtkBaseGrid.add_vector_data_array(self, npa2da, name, active) # ------------------------------------------------------------------- class vtkVolumeGrid(vtkBaseGrid): def __init__(self, elements, cell, origin=None): # Make sure element argument is a valid array if not isinstance(elements, np.ndarray): elements = np.array(elements) assert elements.dtype == int and elements.shape == (3,) self.elements = elements vtkBaseGrid.__init__(self, np.prod(self.elements), cell) # Create a VTK grid of structured points self.vtk_spts = vtkStructuredPoints() self.vtk_spts.SetWholeBoundingBox(self.cell.get_bounding_box()) self.vtk_spts.SetDimensions(self.elements) self.vtk_spts.SetSpacing(self.get_grid_spacing()) if origin is not None: self.vtk_spts.SetOrigin(origin) # Extract the VTK point data set self.set_point_data(self.vtk_spts.GetPointData()) def get_grid_spacing(self): # Periodic boundary conditions leave out one boundary along an axis # Zero/fixed boundary conditions leave out both boundaries of an axis return self.cell.get_size()/(self.elements+1.0-self.cell.get_pbc()) def get_relaxation_factor(self): # The relaxation factor is a floating point value between zero and one. # It expresses the need for smoothening (relaxation) e.g. of isosurfaces # due to coarse grid spacings. Larger grid spacing -> larger relaxation. x = self.get_grid_spacing().mean()/self.cell.get_characteristic_length() # The relaxation function f(x) satisfies the following requirements # f(x) -> 0 for x -> 0+ and f(x) -> b for x -> inf # f'(x) -> a for x -> 0+ and f'(x) -> 0 for x -> inf # Furthermore, it is a rescaling of arctan, hence we know # f(x) = 2 b arctan(a pi x / 2 b) / pi # Our reference point is x = r for which medium relaxion is needed # f(r) = b/2 <=> r = 2 b / a pi <=> a = 2 b / r pi r = 0.025 # corresponding to 0.2 Ang grid spacing in 8 Ang cell b = 0.5 f = 2*b*np.arctan(x/r)/np.pi if f > 0.1: return f.round(1) else: return None def get_structured_points(self): return self.vtk_spts def add_scalar_field(self, data, name=None, active=True): # Make sure data argument is a valid array if not isinstance(data, np.ndarray): data = np.array(data) assert data.dtype == float and data.shape == tuple(self.elements) # Convert scalar field to VTK array npa2da = vtkDoubleArrayFromNumPyMultiArray(data[...,np.newaxis]) return vtkBaseGrid.add_scalar_data_array(self, npa2da, name, active) def add_vector_field(self, data, name=None, active=True): # Make sure data argument is a valid array if not isinstance(data, np.ndarray): data = np.array(data) assert data.dtype == float and data.shape == tuple(self.elements)+(3,) # Convert vector field to VTK array npa2da = vtkDoubleArrayFromNumPyMultiArray(data) return vtkBaseGrid.add_vector_data_array(self, npa2da, name, active) python-ase-3.6.0.2515/ase/visualize/vtk/sources.py0000644000175400017540000000754111164377616020647 0ustar askhlaskhl import numpy as np from vtk import vtkProperty, vtkSphereSource, vtkArrowSource, vtkConeSource from ase.data import atomic_numbers from ase.data import covalent_radii as atomic_radii from ase.data.colors import jmol_colors as atomic_colors #from ase.data.colors import cpk_colors as atomic_colors avg_radius = np.mean(atomic_radii[np.isfinite(atomic_radii)]) # ------------------------------------------------------------------- class vtkCustomGlyphSource: def __init__(self, scale, vtk_glyph_source): self.scale = scale self.vtk_glyph_source = vtk_glyph_source self.vtk_property = vtkProperty() def get_scale(self): return self.scale def get_property(self): return self.vtk_property def get_output(self): return self.vtk_glyph_source.GetOutput() class vtkAtomSource(vtkCustomGlyphSource): def __init__(self, name, scale=1, fraction=0.25): vtkCustomGlyphSource.__init__(self, scale, vtkSphereSource()) self.number = atomic_numbers[name] self.radius = atomic_radii[self.number] self.color = atomic_colors[self.number] self.vtk_property.SetColor(self.color[0],self.color[1],self.color[2]) self.vtk_property.SetInterpolationToPhong() self.vtk_property.SetDiffuse(0.7) self.vtk_property.SetSpecular(0.4) self.vtk_property.SetSpecularPower(20) self.vtk_glyph_source.SetPhiResolution(16) self.vtk_glyph_source.SetThetaResolution(16) self.vtk_glyph_source.SetRadius(fraction*self.radius) # ------------------------------------------------------------------- class vtkClampedGlyphSource(vtkCustomGlyphSource): def __init__(self, scale, vtk_glyph_source, range_min, range_max): vtkCustomGlyphSource.__init__(self, scale, vtk_glyph_source) self.range = (range_min, range_max,) def get_range(self): return self.range class vtkForceSource(vtkClampedGlyphSource): def __init__(self, maxnorm, scale=1): vtkClampedGlyphSource.__init__(self, scale, vtkArrowSource(), range_min=0.0, range_max=maxnorm) self.vtk_property.SetColor(1.0, 0.25, 0.25) # forces are red self.vtk_property.SetInterpolationToPhong() self.vtk_property.SetDiffuse(0.7) self.vtk_property.SetSpecular(0.4) self.vtk_property.SetSpecularPower(20) self.vtk_glyph_source.SetShaftResolution(12) self.vtk_glyph_source.SetShaftRadius(0.03*avg_radius) #default 0.03 self.vtk_glyph_source.SetTipResolution(20) self.vtk_glyph_source.SetTipLength(0.3*avg_radius) #default 0.35 self.vtk_glyph_source.SetTipRadius(0.1*avg_radius) #default 0.1 class vtkVelocitySource(vtkClampedGlyphSource): def __init__(self, maxnorm, scale=1): vtkClampedGlyphSource.__init__(self, scale, vtkConeSource(), range_min=0.0, range_max=maxnorm) self.vtk_property.SetColor(0.25, 0.25, 1.0) # velocities blue self.vtk_property.SetInterpolationToPhong() self.vtk_property.SetDiffuse(0.9) self.vtk_property.SetSpecular(1.0) self.vtk_property.SetSpecularPower(50) self.vtk_glyph_source.SetAngle(6) self.vtk_glyph_source.SetHeight(avg_radius) self.vtk_glyph_source.SetResolution(16) self.vtk_glyph_source.SetCenter(0.05*avg_radius, 0.0, 0.0) # ------------------------------------------------------------------- class vtkBondSource(vtkCustomGlyphSource): def __init__(self, width, scale=1): vtkCustomGlyphSource.__init__(self, scale, vtkCylinderSource()) self.width = width self.vtk_property.SetColor(0.25, 1.0, 0.25) # bonds are green # (and so are you) self.vtk_glyph_source.SetRadius(self.scale*self.width) self.vtk_glyph_source.SetResolution(16) python-ase-3.6.0.2515/ase/visualize/vtk/cell.py0000644000175400017540000000772711267075542020106 0ustar askhlaskhl import numpy as np from ase import Atoms from vtk import vtkOutlineSource, vtkAxesActor, vtkProperty2D, vtkTextProperty from ase.visualize.vtk.module import vtkModule, vtkPolyDataModule # ------------------------------------------------------------------- class vtkUnitCellModule(vtkPolyDataModule): def __init__(self, atoms): assert isinstance(atoms, Atoms) self.pbc = atoms.get_pbc() cell = atoms.get_cell() """ if not isinstance(cell, np.ndarray): cell = np.array(cell) if cell.shape == (3,): cell = np.diag(cell) assert cell.dtype == float and cell.shape == (3, 3) """ self.vtk_outline = vtkOutlineSource() if (cell - np.diag(cell.diagonal())).any(): corners = np.empty((8,3), dtype=float) # edges = [map(int,[(i-1)%2==0,i%4>=2,i>=4]) for i in range(8)] for c,a in enumerate([(0, 0, 0), (1, 0, 0), (0, 1, 0), (1, 1, 0), \ (0, 0, 1), (1, 0, 1), (0, 1, 1), (1, 1, 1)]): corners[c] = np.dot(a, cell) self.bbox = np.array(zip(np.min(corners, axis=0), \ np.max(corners, axis=0))).ravel() self.vtk_outline.SetCorners(corners.ravel()) self.vtk_outline.SetBoxTypeToOriented() else: self.bbox = np.array(zip(np.zeros(3),cell.diagonal())).ravel() self.vtk_outline.SetBounds(self.bbox) vtkPolyDataModule.__init__(self, self.vtk_outline) def get_bounding_box(self): return self.bbox def get_size(self): return self.bbox[1::2]-self.bbox[0::2] def get_pbc(self): return self.pbc def get_characteristic_length(self): return np.prod(self.get_size())**(1.0/3.0) # ------------------------------------------------------------------- class vtkAxesModule(vtkModule): def __init__(self, cell): assert isinstance(cell, vtkUnitCellModule) self.cell = cell l0 = self.cell.get_characteristic_length() # Create VTK axes actor (not really a VTK actor though) self.vtk_ax = vtkAxesActor() self.vtk_ax.SetTipTypeToCone() self.vtk_ax.SetConeRadius(5e-2*l0) self.vtk_ax.SetShaftTypeToCylinder() self.vtk_ax.SetCylinderRadius(5e-3*l0) # Create VTK two-dimensional property p2d = vtkProperty2D() p2d.SetDisplayLocationToBackground() vtkModule.__init__(self, self.vtk_ax, p2d) # Create VTK text property and apply to axes vtk_textproperty = vtkTextProperty() vtk_textproperty.SetFontSize(14) vtk_textproperty.SetBold(True) vtk_textproperty.SetItalic(True) vtk_textproperty.SetShadow(True) vtk_textproperty.SetJustificationToRight() vtk_textproperty.SetVerticalJustificationToCentered() self.set_text_property(vtk_textproperty) def set_actor(self, vtk_act): assert isinstance(vtk_act, vtkAxesActor) #fix for non-vtkActor actor self.vtk_act = vtk_act def set_property(self, vtk_property): assert isinstance(vtk_property, vtkProperty2D) for vtk_cap in [self.vtk_ax.GetXAxisCaptionActor2D(), self.vtk_ax.GetYAxisCaptionActor2D(), self.vtk_ax.GetZAxisCaptionActor2D()]: #vtk_cap.ThreeDimensionalLeaderOn() #vtk_cap.LeaderOn() vtk_cap.SetProperty(vtk_property) vtk_txt = vtk_cap.GetTextActor() vtk_txt.SetProperty(vtk_property) def set_text_property(self, vtk_textproperty, scaled=False): assert isinstance(vtk_textproperty, vtkTextProperty) for vtk_cap in [self.vtk_ax.GetXAxisCaptionActor2D(), self.vtk_ax.GetYAxisCaptionActor2D(), self.vtk_ax.GetZAxisCaptionActor2D()]: vtk_txt = vtk_cap.GetTextActor() vtk_txt.SetScaledText(scaled) vtk_txt.SetTextProperty(vtk_textproperty) python-ase-3.6.0.2515/ase/visualize/vtk/atoms.py0000644000175400017540000001117211166515604020273 0ustar askhlaskhl import numpy as np from ase import Atoms from ase.visualize.vtk.sources import vtkAtomSource, vtkForceSource, \ vtkVelocitySource from ase.visualize.vtk.cell import vtkUnitCellModule, vtkAxesModule from ase.visualize.vtk.grid import vtkAtomicPositions from ase.visualize.vtk.module import vtkModuleAnchor, vtkGlyphModule # ------------------------------------------------------------------- class vtkAtoms(vtkModuleAnchor, vtkAtomicPositions): """Provides fundamental representation for ``Atoms``-specific data in VTK. The ``vtkAtoms`` class plots atoms during simulations, extracting the relevant information from the list of atoms. It is created using the list of atoms as an argument to the constructor. Then one or more visualization modules can be attached using add_module(name, module). Example: >>> va = vtkAtoms(atoms) >>> va.add_forces() >>> va.add_axes() >>> XXX va.add_to_renderer(vtk_ren) """ def __init__(self, atoms, scale=1): """Construct a fundamental VTK-representation of atoms. atoms: Atoms object or list of Atoms objects The atoms to be plotted. scale = 1: float or int Relative scaling of all Atoms-specific visualization. """ assert isinstance(atoms, Atoms) self.atoms = atoms self.scale = scale vtkModuleAnchor.__init__(self) vtkAtomicPositions.__init__(self, self.atoms.get_positions(), vtkUnitCellModule(self.atoms)) self.force = None self.velocity = None symbols = self.atoms.get_chemical_symbols() for symbol in np.unique(symbols): # Construct mask for all atoms with this symbol mask = np.array(symbols) == symbol if mask.all(): subset = None else: subset = np.argwhere(mask).ravel() # Get relevant VTK unstructured grid vtk_ugd = self.get_unstructured_grid(subset) # Create atomic glyph source for this symbol glyph_source = vtkAtomSource(symbol, self.scale) # Create glyph module and anchor it self.add_module(symbol, vtkGlyphModule(vtk_ugd, glyph_source)) def has_forces(self): return self.force is not None def has_velocities(self): return self.velocity is not None def add_cell(self): """Add a box outline of the cell using atoms.get_cell(). The existing ``vtkUnitCellModule`` is added to the module anchor under ``cell``.""" self.add_module('cell', self.cell) def add_axes(self): """Add an orientation indicator for the cartesian axes. An appropriate ``vtkAxesModule`` is added to the module anchor under ``axes``.""" self.add_module('axes', vtkAxesModule(self.cell)) def add_forces(self): """Add force vectors for the atoms using atoms.get_forces(). A ``vtkGlyphModule`` is added to the module anchor under ``force``.""" if self.has_forces(): raise RuntimeError('Forces already present.') elif self.has_velocities(): raise NotImplementedError('Can\'t add forces due to velocities.') # Add forces to VTK unstructured grid as vector data vtk_fda = self.add_vector_property(self.atoms.get_forces(), 'force') # Calculate max norm of the forces fmax = vtk_fda.GetMaxNorm() # Get relevant VTK unstructured grid vtk_ugd = self.get_unstructured_grid() self.force = vtkGlyphModule(vtk_ugd, vtkForceSource(fmax, self.scale), scalemode='vector', colormode=None) self.add_module('force', self.force) def add_velocities(self): """Add velocity vectors for the atoms using atoms.get_velocities(). A ``vtkGlyphModule`` is added to the module anchor under ``velocity``.""" if self.has_velocities(): raise RuntimeError('Velocities already present.') elif self.has_forces(): raise NotImplementedError('Can\'t add velocities due to forces.') # Add velocities to VTK unstructured grid as vector data vtk_vda = self.add_vector_property(self.atoms.get_velocities(), 'velocity') # Calculate max norm of the velocities vmax = vtk_vda.GetMaxNorm() # Get relevant VTK unstructured grid vtk_ugd = self.get_unstructured_grid() self.velocity = vtkGlyphModule(vtk_ugd, vtkVelocitySource(vmax, self.scale), scalemode='vector', colormode=None) self.add_module('velocity', self.velocity) python-ase-3.6.0.2515/ase/visualize/vtk/pipeline.py0000644000175400017540000001537211170133163020752 0ustar askhlaskhl import numpy as np from vtk import vtkPolyDataMapper, vtkPolyDataNormals, \ vtkLinearSubdivisionFilter, vtkSmoothPolyDataFilter, \ vtkDepthSortPolyData, vtkAlgorithm, vtkAlgorithmOutput from ase.visualize.vtk.grid import vtkVolumeGrid # ------------------------------------------------------------------- class vtkPipeline: _branchable = False def __init__(self, vtkish_data=None): self.vtkish_data = None self.closed = False self.pending = False self.filters = tuple() if vtkish_data is not None: self.set_data(vtkish_data) def hasdata(self): return (self.vtkish_data is not None) def hasfilters(self): return len(self.filters)>0 def set_data(self, vtkish_data): assert vtkish_data is not None if self.hasdata(): raise RuntimeError('Pipeline already has input.') elif vtkish_data in self: raise ValueError('Pipeline loop detected.') if isinstance(vtkish_data, vtkPipeline): # The embedded pipeline takes over vtkish_data.signal_close() self.vtkish_data = vtkish_data if not self.hasfilters(): return vtkish_inner = self.filters[0] if isinstance(vtkish_inner, vtkPipeline): vtkish_inner.set_data(vtkish_data) #TODO does this work? else: assert isinstance(vtkish_inner, vtkAlgorithm) if isinstance(vtkish_data, vtkPipeline): # The embedded pipeline takes over vtkish_data.connect(vtkish_inner) else: assert isinstance(vtkish_data, vtkAlgorithm) vtkish_inner.SetInputConnection(vtkish_data.GetOutputPort()) def isempty(self): return not self.hasdata() and not self.hasfilters() def isclosed(self): if self.pending: raise RuntimeError('Pipeline output port state is pending.') return self.closed def signal_close(self): if self.closed: raise RuntimeError('Pipeline output port is already closed.') elif not self._branchable: self.pending = True def get_output_port(self): if self.closed: raise RuntimeError('Pipeline output port is closed.') elif self.pending: self.closed = True self.pending = False if self.hasfilters(): vtkish_outer = self.filters[-1] elif self.hasdata(): vtkish_outer = self.vtkish_data else: raise RuntimeError('Pipeline output port unavailable.') if isinstance(vtkish_outer, vtkPipeline): return vtkish_outer.get_output_port() else: assert isinstance(vtkish_outer, vtkAlgorithm) return vtkish_outer.GetOutputPort() def set_input_connection(self, vtk_port): assert isinstance(vtk_port, vtkAlgorithmOutput) vtkish_inner = self.filters[0] if isinstance(vtkish_inner, vtkPipeline): # Connect must be passed down vtkish_inner.set_input_connection(vtk_port) else: vtkish_inner.SetInputConnection(vtk_port) def connect(self, vtkish_filter): if vtkish_filter in self: raise ValueError('Pipeline loop detected.') if isinstance(vtkish_filter, vtkPipeline): # Connection must be passed down if not self.isempty(): vtkish_filter.set_input_connection(self.get_output_port()) # The containing pipeline takes over vtkish_filter.signal_close() elif not self.isempty(): assert isinstance(vtkish_filter, vtkAlgorithm) vtkish_filter.SetInputConnection(self.get_output_port()) def append(self, vtkish_filter): self.connect(vtkish_filter) self.filters += (vtkish_filter,) def extend(self, vtkish_filters): map(self.append, vtkish_filters) def __contains__(self, vtkish_candidate): if vtkish_candidate == self: return True if self.hasdata(): if isinstance(self.vtkish_data, vtkPipeline): if vtkish_candidate in self.vtkish_data: return True else: if vtkish_candidate == self.vtkish_data: return True if vtkish_candidate in self.filters: return True for vtkish_filter in self.filters: if isinstance(vtkish_filter, vtkPipeline) \ and vtkish_candidate in vtkish_filter: return True return False def __getitem__(self, i): #TODO XXX this is a hack return self.filters[i] # ------------------------------------------------------------------- class vtkPolyDataPipeline(vtkPipeline): def __init__(self, vtkish_polydata=None): vtkPipeline.__init__(self, vtkish_polydata) def connect(self, vtkish_filter): if isinstance(vtkish_filter, vtkPolyDataMapper): self.signal_close() vtkPipeline.connect(self, vtkish_filter) class vtkSurfaceSmootherPipeline(vtkPolyDataPipeline): def __init__(self, grid, vtkish_polydata=None, angle=15): vtkPolyDataPipeline.__init__(self, vtkish_polydata) # Make sure grid argument is correct type assert isinstance(grid, vtkVolumeGrid) self.grid = grid # Split polys with intersection angles greater than angle vtk_dnorm = vtkPolyDataNormals() vtk_dnorm.SetFeatureAngle(angle) vtk_dnorm.SplittingOn() vtk_dnorm.ComputeCellNormalsOff() vtk_dnorm.ComputePointNormalsOff() self.append(vtk_dnorm) relax = self.grid.get_relaxation_factor() if relax is not None: print 'relax=',relax #vtk_subdiv = vtkButterflySubdivisionFilter() vtk_subdiv = vtkLinearSubdivisionFilter() self.append(vtk_subdiv) # Smooth out some of the sharp points. vtk_smooth = vtkSmoothPolyDataFilter() vtk_smooth.SetRelaxationFactor(relax) self.append(vtk_smooth) class vtkDepthSortPipeline(vtkPolyDataPipeline): def __init__(self, vtk_renderer, vtkish_polydata=None): vtkPolyDataPipeline.__init__(self, vtkish_polydata) # The depht sort object is set up to generate scalars representing # the sort depth. A camera is assigned for the sorting. The camera # defines the sort vector (position and focal point). vtk_ds = vtkDepthSortPolyData() vtk_ds.SetCamera(vtk_renderer.GetActiveCamera()) vtk_ds.SetDirectionToBackToFront() #vtk_ds.SetVector(1, 1, 1) #vtk_ds.SortScalarsOn() #vtk_ds.Update() self.append(vtk_ds) vtk_renderer.ResetCamera() python-ase-3.6.0.2515/ase/visualize/vtk/volume.py0000644000175400017540000000452311164377616020470 0ustar askhlaskhl import numpy as np from vtk import vtkContourFilter, vtkDepthSortPolyData from ase.visualize.vtk.grid import vtkVolumeGrid from ase.visualize.vtk.module import vtkPolyDataModule from ase.visualize.vtk.pipeline import vtkSurfaceSmootherPipeline, \ vtkDepthSortPipeline # ------------------------------------------------------------------- class vtkIsoSurfaceModule(vtkVolumeGrid, vtkPolyDataModule): def __init__(self, data, cell, vtk_renderer, contours=1, depthsort=True): #TODO don't require vtk_renderer... implement vtkScene #TODO contour values from list or autocontours if int # Make sure data argument is a valid array if not isinstance(data, np.ndarray): data = np.array(data) vtkVolumeGrid.__init__(self, data.shape, cell) self.vtk_iso = vtkContourFilter() #vtkMarchingContourFilter? self.vtk_iso.SetInput(self.get_structured_points()) #TODO non-orthogonal self.vtk_iso.SetValue(0, 0.25) self.vtk_iso.SetValue(1, -0.25) self.smoothpipe = vtkSurfaceSmootherPipeline(self, vtk_iso) #TODO use vtkDepthSortPipeline - but vtkPolyDataModule isn't a pipeline self.depthsort = depthsort if self.depthsort: # The depht sort object is set up to generate scalars representing # the sort depth. A camera is assigned for the sorting. The camera # defines the sort vector (position and focal point). self.vtk_ds = vtkDepthSortPolyData() self.vtk_ds.SetCamera(vtk_renderer.GetActiveCamera()) self.vtk_ds.SetInputConnection(self.vtk_iso.GetOutputPort()) self.vtk_ds.SetDirectionToBackToFront() #vtk_ds.SetVector(1, 1, 1) #vtk_ds.SortScalarsOn() #vtk_ds.Update() vtk_renderer.ResetCamera() vtkPolyDataModule.__init__(self, self.vtk_ds) else: vtkPolyDataModule.__init__(self, self.vtk_iso) #TODO add color function """ vtk_dmap = vtk.vtkPolyDataMapper() vtk_dmap.ScalarVisibilityOn() vtk_dmap.SetScalarRange(0, vtk_sda_x.GetMaxNorm()) #TODO GetMinNorm non-existing! vtk_dmap.SetScalarModeToUsePointFieldData() vtk_dmap.SelectColorArray("x") #vtk_dmap.ColorByArrayComponent("x", 0) """ python-ase-3.6.0.2515/ase/visualize/vtk/module.py0000644000175400017540000001746111173632064020442 0ustar askhlaskhl import numpy as np from vtk import vtkProp3D, vtkPolyDataMapper, vtkActor, vtkLODActor, \ vtkPointSet, vtkGlyph3D, vtkRenderer from ase.visualize.vtk.sources import vtkCustomGlyphSource, \ vtkClampedGlyphSource # ------------------------------------------------------------------- class vtkModule: """Modules represent a unified collection of VTK objects needed for introducing basic visualization concepts such as surfaces or shapes. A common trait of all modules is the need for an actor representation and corresponding generic properties such as lighting, color and transparency. """ def __init__(self, vtk_act, vtk_property=None): """Construct basic VTK-representation of a module. vtk_act: Instance of vtkActor or subclass thereof A vtkActor represents an entity in a rendering scene. vtk_property = None: Instance of vtkProperty or subclass thereof A vtkProperty represents e.g. lighting and other surface properties of a geometric object, in this case the actor. """ self.vtk_act = None self.set_actor(vtk_act) if vtk_property is not None: self.set_property(vtk_property) def set_actor(self, vtk_act): """Set the actor representing this module in a rendering scene.""" assert isinstance(vtk_act, vtkActor) self.vtk_act = vtk_act def set_property(self, vtk_property): """Set the property of the actor representing this module.""" self.vtk_act.SetProperty(vtk_property) def get_actor(self): """Return the actor representing this module in a rendering scene.""" return self.vtk_act # ------------------------------------------------------------------- class vtkLODModule(vtkModule): _vtk_actor_class = vtkLODActor def get_lod(self): return 100 def set_actor(self, vtk_act): vtkModule.set_actor(self, vtk_act) if isinstance(vtk_act, vtkLODActor): vtk_act.SetNumberOfCloudPoints(self.get_lod()) class vtkPolyDataModule(vtkModule): _vtk_actor_class = vtkActor __doc__ = vtkModule.__doc__ + """ Poly data modules are based on polygonal data sets, which can be mapped into graphics primitives suitable for rendering within the VTK framework. """ def __init__(self, vtk_polydata, vtk_property=None): """Construct VTK-representation of a module containing polygonals. vtk_polydata: Instance of vtkPolyData, subclass thereof or vtkPolyDataAlgorithm, which produces vtkPolyData as output. A vtkPolyData represents a polygonal data set consisting of point and cell attributes, which can be mapped to graphics primitives for subsequent rendering. vtk_property = None: Instance of vtkProperty or subclass thereof A vtkProperty represents e.g. lighting and other surface properties of a geometric object, in this case the polydata. """ vtkModule.__init__(self, self._vtk_actor_class(), vtk_property) self.vtk_dmap = vtkPolyDataMapper() self.vtk_dmap.SetInputConnection(vtk_polydata.GetOutputPort()) self.vtk_act.SetMapper(self.vtk_dmap) class vtkGlyphModule(vtkPolyDataModule): __doc__ = vtkPolyDataModule.__doc__ + """ Glyph modules construct these polygonal data sets by replicating a glyph source across a specific set of points, using available scalar or vector point data to scale and orientate the glyph source if desired. Example: >>> atoms = molecule('C60') >>> cell = vtkUnitCellModule(atoms) >>> apos = vtkAtomicPositions(atoms.get_positions(), cell) >>> vtk_ugd = apos.get_unstructured_grid() >>> glyph_source = vtkAtomSource('C') >>> glyph_module = vtkGlyphModule(vtk_ugd, glyph_source) """ def __init__(self, vtk_pointset, glyph_source, scalemode=None, colormode=None): """Construct VTK-representation of a module containing glyphs. These glyphs share a common source, defining their geometrical shape, which is cloned and oriented according to the input data. vtk_pointset: Instance of vtkPointSet or subclass thereof A vtkPointSet defines a set of positions, which may then be assigned specific scalar of vector data across the entire set. glyph_source: Instance of ~vtk.vtkCustomGlyphSource or subclass thereof Provides the basic shape to distribute over the point set. """ assert isinstance(vtk_pointset, vtkPointSet) assert isinstance(glyph_source, vtkCustomGlyphSource) # Create VTK Glyph3D based on unstructured grid self.vtk_g3d = vtkGlyph3D() self.vtk_g3d.SetInput(vtk_pointset) self.vtk_g3d.SetSource(glyph_source.get_output()) self.vtk_g3d.SetScaleFactor(glyph_source.get_scale()) # Clamping normalizes the glyph scaling to within the range [0,1]. # Setting a scale factor will then scale these by the given factor. if isinstance(glyph_source, vtkClampedGlyphSource): self.vtk_g3d.SetClamping(True) self.vtk_g3d.SetRange(glyph_source.get_range()) if scalemode is 'off': self.vtk_g3d.SetScaleModeToDataScalingOff() elif scalemode is 'scalar': self.vtk_g3d.SetScaleModeToScaleByScalar() elif scalemode is 'vector': self.vtk_g3d.SetScaleModeToScaleByVector() elif scalemode is not None: raise ValueError('Unrecognized scale mode \'%s\'.' % scalemode) if colormode is 'scale': self.vtk_g3d.SetColorModeToColorByScale() elif colormode is 'scalar': self.vtk_g3d.SetColorModeToColorByScalar() elif colormode is 'vector': self.vtk_g3d.SetColorModeToColorByVector() elif colormode is not None: raise ValueError('Unrecognized scale mode \'%s\'.' % scalemode) vtkPolyDataModule.__init__(self, self.vtk_g3d, glyph_source.get_property()) # ------------------------------------------------------------------- class vtkLabelModule(vtkModule): def __init__(self, vtk_pointset, vtk_property=None): vtk_Module.__init__(self, vtkActor(), vtk_property) assert isinstance(vtk_pointset, vtkPointSet) self.vtk_dmap = vtkLabeledDataMapper() #self.vtk_dmap.SetLabelModeToLabelIds() #TODO XXX strings!!! self.vtk_dmap.GetLabelTextProperty().SetFontSize(12) self.vtk_dmap.GetLabelTextProperty().SetJustificationToRight() self.vtk_dmap.SetInputConnection(vtk_pointset.GetOutputPort()) self.vtk_act.SetMapper(self.vtk_dmap) #vtk_g3d.GetPointIdsName... # ------------------------------------------------------------------- class vtkModuleAnchor: """ TODO XXX """ def __init__(self): """Construct an anchoring point for various VTK modules. """ self.modules = {} def get_module(self, name): if name not in self.modules.keys(): raise RuntimeError('Module \'%s\' does not exists.' % name) return self.modules[name] def add_module(self, name, module): if not isinstance(module, vtkModule): raise ValueError('Module must be instance of vtkModule.') if name in self.modules.keys(): raise RuntimeError('Module \'%s\' already exists.' % name) self.modules[name] = module def get_actor(self, name): return self.get_module(name).get_actor() def add_actors_to_renderer(self, vtk_renderer, name=None): assert isinstance(vtk_renderer, vtkRenderer) if name is None: for module in self.modules.values(): vtk_renderer.AddActor(module.get_actor()) else: vtk_renderer.AddActor(self.get_actor(name)) python-ase-3.6.0.2515/ase/visualize/sage.py0000644000175400017540000000143211623435042017254 0ustar askhlaskhlfrom ase.data.colors import jmol_colors from ase.data import covalent_radii, atomic_numbers def view_sage_jmol(atoms): try: from sage.plot.plot3d.shapes import ColorCube, Sphere except: raise ImportError( 'view_sage_jmol requires sage (http://www.sagemath.org/) ' + 'and is intended to be used directly in the browser') cell = atoms.cell.diagonal() / 2 model = ColorCube(list(cell), ['blue', 'blue', 'blue'], opacity=0.1) for atom in atoms: atomic_number = atom.number color = tuple(jmol_colors[atomic_number]) radius = covalent_radii[atomic_number] model += Sphere(radius, color=color).translate( *(atom.position - atoms.cell.diagonal() / 2)) model.show(aspect_ratio=1, frame=False) python-ase-3.6.0.2515/ase/visualize/colortable.py0000644000175400017540000011517611575617122020505 0ustar askhlaskhl"""Defines a table with X11 colors. The key to the dictionary is a string with an X11 name for the color, the value is either a number (a grayscale value) between 0.0 and 1.0, or an array of three numbers (RGB values). The table was generated by the _MakeColorTable function (defined in this module). """ from numpy import array color_table = { 'snow': array([1.0000, 0.9804, 0.9804]), 'ghost white': array([0.9725, 0.9725, 1.0000]), 'GhostWhite': array([0.9725, 0.9725, 1.0000]), 'white smoke': 0.9608, 'WhiteSmoke': 0.9608, 'gainsboro': 0.8627, 'floral white': array([1.0000, 0.9804, 0.9412]), 'FloralWhite': array([1.0000, 0.9804, 0.9412]), 'old lace': array([0.9922, 0.9608, 0.9020]), 'OldLace': array([0.9922, 0.9608, 0.9020]), 'linen': array([0.9804, 0.9412, 0.9020]), 'antique white': array([0.9804, 0.9216, 0.8431]), 'AntiqueWhite': array([0.9804, 0.9216, 0.8431]), 'papaya whip': array([1.0000, 0.9373, 0.8353]), 'PapayaWhip': array([1.0000, 0.9373, 0.8353]), 'blanched almond': array([1.0000, 0.9216, 0.8039]), 'BlanchedAlmond': array([1.0000, 0.9216, 0.8039]), 'bisque': array([1.0000, 0.8941, 0.7686]), 'peach puff': array([1.0000, 0.8549, 0.7255]), 'PeachPuff': array([1.0000, 0.8549, 0.7255]), 'navajo white': array([1.0000, 0.8706, 0.6784]), 'NavajoWhite': array([1.0000, 0.8706, 0.6784]), 'moccasin': array([1.0000, 0.8941, 0.7098]), 'cornsilk': array([1.0000, 0.9725, 0.8627]), 'ivory': array([1.0000, 1.0000, 0.9412]), 'lemon chiffon': array([1.0000, 0.9804, 0.8039]), 'LemonChiffon': array([1.0000, 0.9804, 0.8039]), 'seashell': array([1.0000, 0.9608, 0.9333]), 'honeydew': array([0.9412, 1.0000, 0.9412]), 'mint cream': array([0.9608, 1.0000, 0.9804]), 'MintCream': array([0.9608, 1.0000, 0.9804]), 'azure': array([0.9412, 1.0000, 1.0000]), 'alice blue': array([0.9412, 0.9725, 1.0000]), 'AliceBlue': array([0.9412, 0.9725, 1.0000]), 'lavender': array([0.9020, 0.9020, 0.9804]), 'lavender blush': array([1.0000, 0.9412, 0.9608]), 'LavenderBlush': array([1.0000, 0.9412, 0.9608]), 'misty rose': array([1.0000, 0.8941, 0.8824]), 'MistyRose': array([1.0000, 0.8941, 0.8824]), 'white': 1.0000, 'black': 0.0000, 'dark slate gray': array([0.1843, 0.3098, 0.3098]), 'DarkSlateGray': array([0.1843, 0.3098, 0.3098]), 'dark slate grey': array([0.1843, 0.3098, 0.3098]), 'DarkSlateGrey': array([0.1843, 0.3098, 0.3098]), 'dim gray': 0.4118, 'DimGray': 0.4118, 'dim grey': 0.4118, 'DimGrey': 0.4118, 'slate gray': array([0.4392, 0.5020, 0.5647]), 'SlateGray': array([0.4392, 0.5020, 0.5647]), 'slate grey': array([0.4392, 0.5020, 0.5647]), 'SlateGrey': array([0.4392, 0.5020, 0.5647]), 'light slate gray': array([0.4667, 0.5333, 0.6000]), 'LightSlateGray': array([0.4667, 0.5333, 0.6000]), 'light slate grey': array([0.4667, 0.5333, 0.6000]), 'LightSlateGrey': array([0.4667, 0.5333, 0.6000]), 'gray': 0.7451, 'grey': 0.7451, 'light grey': 0.8275, 'LightGrey': 0.8275, 'light gray': 0.8275, 'LightGray': 0.8275, 'midnight blue': array([0.0980, 0.0980, 0.4392]), 'MidnightBlue': array([0.0980, 0.0980, 0.4392]), 'navy': array([0.0000, 0.0000, 0.5020]), 'navy blue': array([0.0000, 0.0000, 0.5020]), 'NavyBlue': array([0.0000, 0.0000, 0.5020]), 'cornflower blue': array([0.3922, 0.5843, 0.9294]), 'CornflowerBlue': array([0.3922, 0.5843, 0.9294]), 'dark slate blue': array([0.2824, 0.2392, 0.5451]), 'DarkSlateBlue': array([0.2824, 0.2392, 0.5451]), 'slate blue': array([0.4157, 0.3529, 0.8039]), 'SlateBlue': array([0.4157, 0.3529, 0.8039]), 'medium slate blue': array([0.4824, 0.4078, 0.9333]), 'MediumSlateBlue': array([0.4824, 0.4078, 0.9333]), 'light slate blue': array([0.5176, 0.4392, 1.0000]), 'LightSlateBlue': array([0.5176, 0.4392, 1.0000]), 'medium blue': array([0.0000, 0.0000, 0.8039]), 'MediumBlue': array([0.0000, 0.0000, 0.8039]), 'royal blue': array([0.2549, 0.4118, 0.8824]), 'RoyalBlue': array([0.2549, 0.4118, 0.8824]), 'blue': array([0.0000, 0.0000, 1.0000]), 'dodger blue': array([0.1176, 0.5647, 1.0000]), 'DodgerBlue': array([0.1176, 0.5647, 1.0000]), 'deep sky blue': array([0.0000, 0.7490, 1.0000]), 'DeepSkyBlue': array([0.0000, 0.7490, 1.0000]), 'sky blue': array([0.5294, 0.8078, 0.9216]), 'SkyBlue': array([0.5294, 0.8078, 0.9216]), 'light sky blue': array([0.5294, 0.8078, 0.9804]), 'LightSkyBlue': array([0.5294, 0.8078, 0.9804]), 'steel blue': array([0.2745, 0.5098, 0.7059]), 'SteelBlue': array([0.2745, 0.5098, 0.7059]), 'light steel blue': array([0.6902, 0.7686, 0.8706]), 'LightSteelBlue': array([0.6902, 0.7686, 0.8706]), 'light blue': array([0.6784, 0.8471, 0.9020]), 'LightBlue': array([0.6784, 0.8471, 0.9020]), 'powder blue': array([0.6902, 0.8784, 0.9020]), 'PowderBlue': array([0.6902, 0.8784, 0.9020]), 'pale turquoise': array([0.6863, 0.9333, 0.9333]), 'PaleTurquoise': array([0.6863, 0.9333, 0.9333]), 'dark turquoise': array([0.0000, 0.8078, 0.8196]), 'DarkTurquoise': array([0.0000, 0.8078, 0.8196]), 'medium turquoise': array([0.2824, 0.8196, 0.8000]), 'MediumTurquoise': array([0.2824, 0.8196, 0.8000]), 'turquoise': array([0.2510, 0.8784, 0.8157]), 'cyan': array([0.0000, 1.0000, 1.0000]), 'light cyan': array([0.8784, 1.0000, 1.0000]), 'LightCyan': array([0.8784, 1.0000, 1.0000]), 'cadet blue': array([0.3725, 0.6196, 0.6275]), 'CadetBlue': array([0.3725, 0.6196, 0.6275]), 'medium aquamarine': array([0.4000, 0.8039, 0.6667]), 'MediumAquamarine': array([0.4000, 0.8039, 0.6667]), 'aquamarine': array([0.4980, 1.0000, 0.8314]), 'dark green': array([0.0000, 0.3922, 0.0000]), 'DarkGreen': array([0.0000, 0.3922, 0.0000]), 'dark olive green': array([0.3333, 0.4196, 0.1843]), 'DarkOliveGreen': array([0.3333, 0.4196, 0.1843]), 'dark sea green': array([0.5608, 0.7373, 0.5608]), 'DarkSeaGreen': array([0.5608, 0.7373, 0.5608]), 'sea green': array([0.1804, 0.5451, 0.3412]), 'SeaGreen': array([0.1804, 0.5451, 0.3412]), 'medium sea green': array([0.2353, 0.7020, 0.4431]), 'MediumSeaGreen': array([0.2353, 0.7020, 0.4431]), 'light sea green': array([0.1255, 0.6980, 0.6667]), 'LightSeaGreen': array([0.1255, 0.6980, 0.6667]), 'pale green': array([0.5961, 0.9843, 0.5961]), 'PaleGreen': array([0.5961, 0.9843, 0.5961]), 'spring green': array([0.0000, 1.0000, 0.4980]), 'SpringGreen': array([0.0000, 1.0000, 0.4980]), 'lawn green': array([0.4863, 0.9882, 0.0000]), 'LawnGreen': array([0.4863, 0.9882, 0.0000]), 'green': array([0.0000, 1.0000, 0.0000]), 'chartreuse': array([0.4980, 1.0000, 0.0000]), 'medium spring green': array([0.0000, 0.9804, 0.6039]), 'MediumSpringGreen': array([0.0000, 0.9804, 0.6039]), 'green yellow': array([0.6784, 1.0000, 0.1843]), 'GreenYellow': array([0.6784, 1.0000, 0.1843]), 'lime green': array([0.1961, 0.8039, 0.1961]), 'LimeGreen': array([0.1961, 0.8039, 0.1961]), 'yellow green': array([0.6039, 0.8039, 0.1961]), 'YellowGreen': array([0.6039, 0.8039, 0.1961]), 'forest green': array([0.1333, 0.5451, 0.1333]), 'ForestGreen': array([0.1333, 0.5451, 0.1333]), 'olive drab': array([0.4196, 0.5569, 0.1373]), 'OliveDrab': array([0.4196, 0.5569, 0.1373]), 'dark khaki': array([0.7412, 0.7176, 0.4196]), 'DarkKhaki': array([0.7412, 0.7176, 0.4196]), 'khaki': array([0.9412, 0.9020, 0.5490]), 'pale goldenrod': array([0.9333, 0.9098, 0.6667]), 'PaleGoldenrod': array([0.9333, 0.9098, 0.6667]), 'light goldenrod yellow': array([0.9804, 0.9804, 0.8235]), 'LightGoldenrodYellow': array([0.9804, 0.9804, 0.8235]), 'light yellow': array([1.0000, 1.0000, 0.8784]), 'LightYellow': array([1.0000, 1.0000, 0.8784]), 'yellow': array([1.0000, 1.0000, 0.0000]), 'gold': array([1.0000, 0.8431, 0.0000]), 'light goldenrod': array([0.9333, 0.8667, 0.5098]), 'LightGoldenrod': array([0.9333, 0.8667, 0.5098]), 'goldenrod': array([0.8549, 0.6471, 0.1255]), 'dark goldenrod': array([0.7216, 0.5255, 0.0431]), 'DarkGoldenrod': array([0.7216, 0.5255, 0.0431]), 'rosy brown': array([0.7373, 0.5608, 0.5608]), 'RosyBrown': array([0.7373, 0.5608, 0.5608]), 'indian red': array([0.8039, 0.3608, 0.3608]), 'IndianRed': array([0.8039, 0.3608, 0.3608]), 'saddle brown': array([0.5451, 0.2706, 0.0745]), 'SaddleBrown': array([0.5451, 0.2706, 0.0745]), 'sienna': array([0.6275, 0.3216, 0.1765]), 'peru': array([0.8039, 0.5216, 0.2471]), 'burlywood': array([0.8706, 0.7216, 0.5294]), 'beige': array([0.9608, 0.9608, 0.8627]), 'wheat': array([0.9608, 0.8706, 0.7020]), 'sandy brown': array([0.9569, 0.6431, 0.3765]), 'SandyBrown': array([0.9569, 0.6431, 0.3765]), 'tan': array([0.8235, 0.7059, 0.5490]), 'chocolate': array([0.8235, 0.4118, 0.1176]), 'firebrick': array([0.6980, 0.1333, 0.1333]), 'brown': array([0.6471, 0.1647, 0.1647]), 'dark salmon': array([0.9137, 0.5882, 0.4784]), 'DarkSalmon': array([0.9137, 0.5882, 0.4784]), 'salmon': array([0.9804, 0.5020, 0.4471]), 'light salmon': array([1.0000, 0.6275, 0.4784]), 'LightSalmon': array([1.0000, 0.6275, 0.4784]), 'orange': array([1.0000, 0.6471, 0.0000]), 'dark orange': array([1.0000, 0.5490, 0.0000]), 'DarkOrange': array([1.0000, 0.5490, 0.0000]), 'coral': array([1.0000, 0.4980, 0.3137]), 'light coral': array([0.9412, 0.5020, 0.5020]), 'LightCoral': array([0.9412, 0.5020, 0.5020]), 'tomato': array([1.0000, 0.3882, 0.2784]), 'orange red': array([1.0000, 0.2706, 0.0000]), 'OrangeRed': array([1.0000, 0.2706, 0.0000]), 'red': array([1.0000, 0.0000, 0.0000]), 'hot pink': array([1.0000, 0.4118, 0.7059]), 'HotPink': array([1.0000, 0.4118, 0.7059]), 'deep pink': array([1.0000, 0.0784, 0.5765]), 'DeepPink': array([1.0000, 0.0784, 0.5765]), 'pink': array([1.0000, 0.7529, 0.7961]), 'light pink': array([1.0000, 0.7137, 0.7569]), 'LightPink': array([1.0000, 0.7137, 0.7569]), 'pale violet red': array([0.8588, 0.4392, 0.5765]), 'PaleVioletRed': array([0.8588, 0.4392, 0.5765]), 'maroon': array([0.6902, 0.1882, 0.3765]), 'medium violet red': array([0.7804, 0.0824, 0.5216]), 'MediumVioletRed': array([0.7804, 0.0824, 0.5216]), 'violet red': array([0.8157, 0.1255, 0.5647]), 'VioletRed': array([0.8157, 0.1255, 0.5647]), 'magenta': array([1.0000, 0.0000, 1.0000]), 'violet': array([0.9333, 0.5098, 0.9333]), 'plum': array([0.8667, 0.6275, 0.8667]), 'orchid': array([0.8549, 0.4392, 0.8392]), 'medium orchid': array([0.7294, 0.3333, 0.8275]), 'MediumOrchid': array([0.7294, 0.3333, 0.8275]), 'dark orchid': array([0.6000, 0.1961, 0.8000]), 'DarkOrchid': array([0.6000, 0.1961, 0.8000]), 'dark violet': array([0.5804, 0.0000, 0.8275]), 'DarkViolet': array([0.5804, 0.0000, 0.8275]), 'blue violet': array([0.5412, 0.1686, 0.8863]), 'BlueViolet': array([0.5412, 0.1686, 0.8863]), 'purple': array([0.6275, 0.1255, 0.9412]), 'medium purple': array([0.5765, 0.4392, 0.8588]), 'MediumPurple': array([0.5765, 0.4392, 0.8588]), 'thistle': array([0.8471, 0.7490, 0.8471]), 'snow1': array([1.0000, 0.9804, 0.9804]), 'snow2': array([0.9333, 0.9137, 0.9137]), 'snow3': array([0.8039, 0.7882, 0.7882]), 'snow4': array([0.5451, 0.5373, 0.5373]), 'seashell1': array([1.0000, 0.9608, 0.9333]), 'seashell2': array([0.9333, 0.8980, 0.8706]), 'seashell3': array([0.8039, 0.7725, 0.7490]), 'seashell4': array([0.5451, 0.5255, 0.5098]), 'AntiqueWhite1': array([1.0000, 0.9373, 0.8588]), 'AntiqueWhite2': array([0.9333, 0.8745, 0.8000]), 'AntiqueWhite3': array([0.8039, 0.7529, 0.6902]), 'AntiqueWhite4': array([0.5451, 0.5137, 0.4706]), 'bisque1': array([1.0000, 0.8941, 0.7686]), 'bisque2': array([0.9333, 0.8353, 0.7176]), 'bisque3': array([0.8039, 0.7176, 0.6196]), 'bisque4': array([0.5451, 0.4902, 0.4196]), 'PeachPuff1': array([1.0000, 0.8549, 0.7255]), 'PeachPuff2': array([0.9333, 0.7961, 0.6784]), 'PeachPuff3': array([0.8039, 0.6863, 0.5843]), 'PeachPuff4': array([0.5451, 0.4667, 0.3961]), 'NavajoWhite1': array([1.0000, 0.8706, 0.6784]), 'NavajoWhite2': array([0.9333, 0.8118, 0.6314]), 'NavajoWhite3': array([0.8039, 0.7020, 0.5451]), 'NavajoWhite4': array([0.5451, 0.4745, 0.3686]), 'LemonChiffon1': array([1.0000, 0.9804, 0.8039]), 'LemonChiffon2': array([0.9333, 0.9137, 0.7490]), 'LemonChiffon3': array([0.8039, 0.7882, 0.6471]), 'LemonChiffon4': array([0.5451, 0.5373, 0.4392]), 'cornsilk1': array([1.0000, 0.9725, 0.8627]), 'cornsilk2': array([0.9333, 0.9098, 0.8039]), 'cornsilk3': array([0.8039, 0.7843, 0.6941]), 'cornsilk4': array([0.5451, 0.5333, 0.4706]), 'ivory1': array([1.0000, 1.0000, 0.9412]), 'ivory2': array([0.9333, 0.9333, 0.8784]), 'ivory3': array([0.8039, 0.8039, 0.7569]), 'ivory4': array([0.5451, 0.5451, 0.5137]), 'honeydew1': array([0.9412, 1.0000, 0.9412]), 'honeydew2': array([0.8784, 0.9333, 0.8784]), 'honeydew3': array([0.7569, 0.8039, 0.7569]), 'honeydew4': array([0.5137, 0.5451, 0.5137]), 'LavenderBlush1': array([1.0000, 0.9412, 0.9608]), 'LavenderBlush2': array([0.9333, 0.8784, 0.8980]), 'LavenderBlush3': array([0.8039, 0.7569, 0.7725]), 'LavenderBlush4': array([0.5451, 0.5137, 0.5255]), 'MistyRose1': array([1.0000, 0.8941, 0.8824]), 'MistyRose2': array([0.9333, 0.8353, 0.8235]), 'MistyRose3': array([0.8039, 0.7176, 0.7098]), 'MistyRose4': array([0.5451, 0.4902, 0.4824]), 'azure1': array([0.9412, 1.0000, 1.0000]), 'azure2': array([0.8784, 0.9333, 0.9333]), 'azure3': array([0.7569, 0.8039, 0.8039]), 'azure4': array([0.5137, 0.5451, 0.5451]), 'SlateBlue1': array([0.5137, 0.4353, 1.0000]), 'SlateBlue2': array([0.4784, 0.4039, 0.9333]), 'SlateBlue3': array([0.4118, 0.3490, 0.8039]), 'SlateBlue4': array([0.2784, 0.2353, 0.5451]), 'RoyalBlue1': array([0.2824, 0.4627, 1.0000]), 'RoyalBlue2': array([0.2627, 0.4314, 0.9333]), 'RoyalBlue3': array([0.2275, 0.3725, 0.8039]), 'RoyalBlue4': array([0.1529, 0.2510, 0.5451]), 'blue1': array([0.0000, 0.0000, 1.0000]), 'blue2': array([0.0000, 0.0000, 0.9333]), 'blue3': array([0.0000, 0.0000, 0.8039]), 'blue4': array([0.0000, 0.0000, 0.5451]), 'DodgerBlue1': array([0.1176, 0.5647, 1.0000]), 'DodgerBlue2': array([0.1098, 0.5255, 0.9333]), 'DodgerBlue3': array([0.0941, 0.4549, 0.8039]), 'DodgerBlue4': array([0.0627, 0.3059, 0.5451]), 'SteelBlue1': array([0.3882, 0.7216, 1.0000]), 'SteelBlue2': array([0.3608, 0.6745, 0.9333]), 'SteelBlue3': array([0.3098, 0.5804, 0.8039]), 'SteelBlue4': array([0.2118, 0.3922, 0.5451]), 'DeepSkyBlue1': array([0.0000, 0.7490, 1.0000]), 'DeepSkyBlue2': array([0.0000, 0.6980, 0.9333]), 'DeepSkyBlue3': array([0.0000, 0.6039, 0.8039]), 'DeepSkyBlue4': array([0.0000, 0.4078, 0.5451]), 'SkyBlue1': array([0.5294, 0.8078, 1.0000]), 'SkyBlue2': array([0.4941, 0.7529, 0.9333]), 'SkyBlue3': array([0.4235, 0.6510, 0.8039]), 'SkyBlue4': array([0.2902, 0.4392, 0.5451]), 'LightSkyBlue1': array([0.6902, 0.8863, 1.0000]), 'LightSkyBlue2': array([0.6431, 0.8275, 0.9333]), 'LightSkyBlue3': array([0.5529, 0.7137, 0.8039]), 'LightSkyBlue4': array([0.3765, 0.4824, 0.5451]), 'SlateGray1': array([0.7765, 0.8863, 1.0000]), 'SlateGray2': array([0.7255, 0.8275, 0.9333]), 'SlateGray3': array([0.6235, 0.7137, 0.8039]), 'SlateGray4': array([0.4235, 0.4824, 0.5451]), 'LightSteelBlue1': array([0.7922, 0.8824, 1.0000]), 'LightSteelBlue2': array([0.7373, 0.8235, 0.9333]), 'LightSteelBlue3': array([0.6353, 0.7098, 0.8039]), 'LightSteelBlue4': array([0.4314, 0.4824, 0.5451]), 'LightBlue1': array([0.7490, 0.9373, 1.0000]), 'LightBlue2': array([0.6980, 0.8745, 0.9333]), 'LightBlue3': array([0.6039, 0.7529, 0.8039]), 'LightBlue4': array([0.4078, 0.5137, 0.5451]), 'LightCyan1': array([0.8784, 1.0000, 1.0000]), 'LightCyan2': array([0.8196, 0.9333, 0.9333]), 'LightCyan3': array([0.7059, 0.8039, 0.8039]), 'LightCyan4': array([0.4784, 0.5451, 0.5451]), 'PaleTurquoise1': array([0.7333, 1.0000, 1.0000]), 'PaleTurquoise2': array([0.6824, 0.9333, 0.9333]), 'PaleTurquoise3': array([0.5882, 0.8039, 0.8039]), 'PaleTurquoise4': array([0.4000, 0.5451, 0.5451]), 'CadetBlue1': array([0.5961, 0.9608, 1.0000]), 'CadetBlue2': array([0.5569, 0.8980, 0.9333]), 'CadetBlue3': array([0.4784, 0.7725, 0.8039]), 'CadetBlue4': array([0.3255, 0.5255, 0.5451]), 'turquoise1': array([0.0000, 0.9608, 1.0000]), 'turquoise2': array([0.0000, 0.8980, 0.9333]), 'turquoise3': array([0.0000, 0.7725, 0.8039]), 'turquoise4': array([0.0000, 0.5255, 0.5451]), 'cyan1': array([0.0000, 1.0000, 1.0000]), 'cyan2': array([0.0000, 0.9333, 0.9333]), 'cyan3': array([0.0000, 0.8039, 0.8039]), 'cyan4': array([0.0000, 0.5451, 0.5451]), 'DarkSlateGray1': array([0.5922, 1.0000, 1.0000]), 'DarkSlateGray2': array([0.5529, 0.9333, 0.9333]), 'DarkSlateGray3': array([0.4745, 0.8039, 0.8039]), 'DarkSlateGray4': array([0.3216, 0.5451, 0.5451]), 'aquamarine1': array([0.4980, 1.0000, 0.8314]), 'aquamarine2': array([0.4627, 0.9333, 0.7765]), 'aquamarine3': array([0.4000, 0.8039, 0.6667]), 'aquamarine4': array([0.2706, 0.5451, 0.4549]), 'DarkSeaGreen1': array([0.7569, 1.0000, 0.7569]), 'DarkSeaGreen2': array([0.7059, 0.9333, 0.7059]), 'DarkSeaGreen3': array([0.6078, 0.8039, 0.6078]), 'DarkSeaGreen4': array([0.4118, 0.5451, 0.4118]), 'SeaGreen1': array([0.3294, 1.0000, 0.6235]), 'SeaGreen2': array([0.3059, 0.9333, 0.5804]), 'SeaGreen3': array([0.2627, 0.8039, 0.5020]), 'SeaGreen4': array([0.1804, 0.5451, 0.3412]), 'PaleGreen1': array([0.6039, 1.0000, 0.6039]), 'PaleGreen2': array([0.5647, 0.9333, 0.5647]), 'PaleGreen3': array([0.4863, 0.8039, 0.4863]), 'PaleGreen4': array([0.3294, 0.5451, 0.3294]), 'SpringGreen1': array([0.0000, 1.0000, 0.4980]), 'SpringGreen2': array([0.0000, 0.9333, 0.4627]), 'SpringGreen3': array([0.0000, 0.8039, 0.4000]), 'SpringGreen4': array([0.0000, 0.5451, 0.2706]), 'green1': array([0.0000, 1.0000, 0.0000]), 'green2': array([0.0000, 0.9333, 0.0000]), 'green3': array([0.0000, 0.8039, 0.0000]), 'green4': array([0.0000, 0.5451, 0.0000]), 'chartreuse1': array([0.4980, 1.0000, 0.0000]), 'chartreuse2': array([0.4627, 0.9333, 0.0000]), 'chartreuse3': array([0.4000, 0.8039, 0.0000]), 'chartreuse4': array([0.2706, 0.5451, 0.0000]), 'OliveDrab1': array([0.7529, 1.0000, 0.2431]), 'OliveDrab2': array([0.7020, 0.9333, 0.2275]), 'OliveDrab3': array([0.6039, 0.8039, 0.1961]), 'OliveDrab4': array([0.4118, 0.5451, 0.1333]), 'DarkOliveGreen1': array([0.7922, 1.0000, 0.4392]), 'DarkOliveGreen2': array([0.7373, 0.9333, 0.4078]), 'DarkOliveGreen3': array([0.6353, 0.8039, 0.3529]), 'DarkOliveGreen4': array([0.4314, 0.5451, 0.2392]), 'khaki1': array([1.0000, 0.9647, 0.5608]), 'khaki2': array([0.9333, 0.9020, 0.5216]), 'khaki3': array([0.8039, 0.7765, 0.4510]), 'khaki4': array([0.5451, 0.5255, 0.3059]), 'LightGoldenrod1': array([1.0000, 0.9255, 0.5451]), 'LightGoldenrod2': array([0.9333, 0.8627, 0.5098]), 'LightGoldenrod3': array([0.8039, 0.7451, 0.4392]), 'LightGoldenrod4': array([0.5451, 0.5059, 0.2980]), 'LightYellow1': array([1.0000, 1.0000, 0.8784]), 'LightYellow2': array([0.9333, 0.9333, 0.8196]), 'LightYellow3': array([0.8039, 0.8039, 0.7059]), 'LightYellow4': array([0.5451, 0.5451, 0.4784]), 'yellow1': array([1.0000, 1.0000, 0.0000]), 'yellow2': array([0.9333, 0.9333, 0.0000]), 'yellow3': array([0.8039, 0.8039, 0.0000]), 'yellow4': array([0.5451, 0.5451, 0.0000]), 'gold1': array([1.0000, 0.8431, 0.0000]), 'gold2': array([0.9333, 0.7882, 0.0000]), 'gold3': array([0.8039, 0.6784, 0.0000]), 'gold4': array([0.5451, 0.4588, 0.0000]), 'goldenrod1': array([1.0000, 0.7569, 0.1451]), 'goldenrod2': array([0.9333, 0.7059, 0.1333]), 'goldenrod3': array([0.8039, 0.6078, 0.1137]), 'goldenrod4': array([0.5451, 0.4118, 0.0784]), 'DarkGoldenrod1': array([1.0000, 0.7255, 0.0588]), 'DarkGoldenrod2': array([0.9333, 0.6784, 0.0549]), 'DarkGoldenrod3': array([0.8039, 0.5843, 0.0471]), 'DarkGoldenrod4': array([0.5451, 0.3961, 0.0314]), 'RosyBrown1': array([1.0000, 0.7569, 0.7569]), 'RosyBrown2': array([0.9333, 0.7059, 0.7059]), 'RosyBrown3': array([0.8039, 0.6078, 0.6078]), 'RosyBrown4': array([0.5451, 0.4118, 0.4118]), 'IndianRed1': array([1.0000, 0.4157, 0.4157]), 'IndianRed2': array([0.9333, 0.3882, 0.3882]), 'IndianRed3': array([0.8039, 0.3333, 0.3333]), 'IndianRed4': array([0.5451, 0.2275, 0.2275]), 'sienna1': array([1.0000, 0.5098, 0.2784]), 'sienna2': array([0.9333, 0.4745, 0.2588]), 'sienna3': array([0.8039, 0.4078, 0.2235]), 'sienna4': array([0.5451, 0.2784, 0.1490]), 'burlywood1': array([1.0000, 0.8275, 0.6078]), 'burlywood2': array([0.9333, 0.7725, 0.5686]), 'burlywood3': array([0.8039, 0.6667, 0.4902]), 'burlywood4': array([0.5451, 0.4510, 0.3333]), 'wheat1': array([1.0000, 0.9059, 0.7294]), 'wheat2': array([0.9333, 0.8471, 0.6824]), 'wheat3': array([0.8039, 0.7294, 0.5882]), 'wheat4': array([0.5451, 0.4941, 0.4000]), 'tan1': array([1.0000, 0.6471, 0.3098]), 'tan2': array([0.9333, 0.6039, 0.2863]), 'tan3': array([0.8039, 0.5216, 0.2471]), 'tan4': array([0.5451, 0.3529, 0.1686]), 'chocolate1': array([1.0000, 0.4980, 0.1412]), 'chocolate2': array([0.9333, 0.4627, 0.1294]), 'chocolate3': array([0.8039, 0.4000, 0.1137]), 'chocolate4': array([0.5451, 0.2706, 0.0745]), 'firebrick1': array([1.0000, 0.1882, 0.1882]), 'firebrick2': array([0.9333, 0.1725, 0.1725]), 'firebrick3': array([0.8039, 0.1490, 0.1490]), 'firebrick4': array([0.5451, 0.1020, 0.1020]), 'brown1': array([1.0000, 0.2510, 0.2510]), 'brown2': array([0.9333, 0.2314, 0.2314]), 'brown3': array([0.8039, 0.2000, 0.2000]), 'brown4': array([0.5451, 0.1373, 0.1373]), 'salmon1': array([1.0000, 0.5490, 0.4118]), 'salmon2': array([0.9333, 0.5098, 0.3843]), 'salmon3': array([0.8039, 0.4392, 0.3294]), 'salmon4': array([0.5451, 0.2980, 0.2235]), 'LightSalmon1': array([1.0000, 0.6275, 0.4784]), 'LightSalmon2': array([0.9333, 0.5843, 0.4471]), 'LightSalmon3': array([0.8039, 0.5059, 0.3843]), 'LightSalmon4': array([0.5451, 0.3412, 0.2588]), 'orange1': array([1.0000, 0.6471, 0.0000]), 'orange2': array([0.9333, 0.6039, 0.0000]), 'orange3': array([0.8039, 0.5216, 0.0000]), 'orange4': array([0.5451, 0.3529, 0.0000]), 'DarkOrange1': array([1.0000, 0.4980, 0.0000]), 'DarkOrange2': array([0.9333, 0.4627, 0.0000]), 'DarkOrange3': array([0.8039, 0.4000, 0.0000]), 'DarkOrange4': array([0.5451, 0.2706, 0.0000]), 'coral1': array([1.0000, 0.4471, 0.3373]), 'coral2': array([0.9333, 0.4157, 0.3137]), 'coral3': array([0.8039, 0.3569, 0.2706]), 'coral4': array([0.5451, 0.2431, 0.1843]), 'tomato1': array([1.0000, 0.3882, 0.2784]), 'tomato2': array([0.9333, 0.3608, 0.2588]), 'tomato3': array([0.8039, 0.3098, 0.2235]), 'tomato4': array([0.5451, 0.2118, 0.1490]), 'OrangeRed1': array([1.0000, 0.2706, 0.0000]), 'OrangeRed2': array([0.9333, 0.2510, 0.0000]), 'OrangeRed3': array([0.8039, 0.2157, 0.0000]), 'OrangeRed4': array([0.5451, 0.1451, 0.0000]), 'red1': array([1.0000, 0.0000, 0.0000]), 'red2': array([0.9333, 0.0000, 0.0000]), 'red3': array([0.8039, 0.0000, 0.0000]), 'red4': array([0.5451, 0.0000, 0.0000]), 'DeepPink1': array([1.0000, 0.0784, 0.5765]), 'DeepPink2': array([0.9333, 0.0706, 0.5373]), 'DeepPink3': array([0.8039, 0.0627, 0.4627]), 'DeepPink4': array([0.5451, 0.0392, 0.3137]), 'HotPink1': array([1.0000, 0.4314, 0.7059]), 'HotPink2': array([0.9333, 0.4157, 0.6549]), 'HotPink3': array([0.8039, 0.3765, 0.5647]), 'HotPink4': array([0.5451, 0.2275, 0.3843]), 'pink1': array([1.0000, 0.7098, 0.7725]), 'pink2': array([0.9333, 0.6627, 0.7216]), 'pink3': array([0.8039, 0.5686, 0.6196]), 'pink4': array([0.5451, 0.3882, 0.4235]), 'LightPink1': array([1.0000, 0.6824, 0.7255]), 'LightPink2': array([0.9333, 0.6353, 0.6784]), 'LightPink3': array([0.8039, 0.5490, 0.5843]), 'LightPink4': array([0.5451, 0.3725, 0.3961]), 'PaleVioletRed1': array([1.0000, 0.5098, 0.6706]), 'PaleVioletRed2': array([0.9333, 0.4745, 0.6235]), 'PaleVioletRed3': array([0.8039, 0.4078, 0.5373]), 'PaleVioletRed4': array([0.5451, 0.2784, 0.3647]), 'maroon1': array([1.0000, 0.2039, 0.7020]), 'maroon2': array([0.9333, 0.1882, 0.6549]), 'maroon3': array([0.8039, 0.1608, 0.5647]), 'maroon4': array([0.5451, 0.1098, 0.3843]), 'VioletRed1': array([1.0000, 0.2431, 0.5882]), 'VioletRed2': array([0.9333, 0.2275, 0.5490]), 'VioletRed3': array([0.8039, 0.1961, 0.4706]), 'VioletRed4': array([0.5451, 0.1333, 0.3216]), 'magenta1': array([1.0000, 0.0000, 1.0000]), 'magenta2': array([0.9333, 0.0000, 0.9333]), 'magenta3': array([0.8039, 0.0000, 0.8039]), 'magenta4': array([0.5451, 0.0000, 0.5451]), 'orchid1': array([1.0000, 0.5137, 0.9804]), 'orchid2': array([0.9333, 0.4784, 0.9137]), 'orchid3': array([0.8039, 0.4118, 0.7882]), 'orchid4': array([0.5451, 0.2784, 0.5373]), 'plum1': array([1.0000, 0.7333, 1.0000]), 'plum2': array([0.9333, 0.6824, 0.9333]), 'plum3': array([0.8039, 0.5882, 0.8039]), 'plum4': array([0.5451, 0.4000, 0.5451]), 'MediumOrchid1': array([0.8784, 0.4000, 1.0000]), 'MediumOrchid2': array([0.8196, 0.3725, 0.9333]), 'MediumOrchid3': array([0.7059, 0.3216, 0.8039]), 'MediumOrchid4': array([0.4784, 0.2157, 0.5451]), 'DarkOrchid1': array([0.7490, 0.2431, 1.0000]), 'DarkOrchid2': array([0.6980, 0.2275, 0.9333]), 'DarkOrchid3': array([0.6039, 0.1961, 0.8039]), 'DarkOrchid4': array([0.4078, 0.1333, 0.5451]), 'purple1': array([0.6078, 0.1882, 1.0000]), 'purple2': array([0.5686, 0.1725, 0.9333]), 'purple3': array([0.4902, 0.1490, 0.8039]), 'purple4': array([0.3333, 0.1020, 0.5451]), 'MediumPurple1': array([0.6706, 0.5098, 1.0000]), 'MediumPurple2': array([0.6235, 0.4745, 0.9333]), 'MediumPurple3': array([0.5373, 0.4078, 0.8039]), 'MediumPurple4': array([0.3647, 0.2784, 0.5451]), 'thistle1': array([1.0000, 0.8824, 1.0000]), 'thistle2': array([0.9333, 0.8235, 0.9333]), 'thistle3': array([0.8039, 0.7098, 0.8039]), 'thistle4': array([0.5451, 0.4824, 0.5451]), 'gray0': 0.0000, 'grey0': 0.0000, 'gray1': 0.0118, 'grey1': 0.0118, 'gray2': 0.0196, 'grey2': 0.0196, 'gray3': 0.0314, 'grey3': 0.0314, 'gray4': 0.0392, 'grey4': 0.0392, 'gray5': 0.0510, 'grey5': 0.0510, 'gray6': 0.0588, 'grey6': 0.0588, 'gray7': 0.0706, 'grey7': 0.0706, 'gray8': 0.0784, 'grey8': 0.0784, 'gray9': 0.0902, 'grey9': 0.0902, 'gray10': 0.1020, 'grey10': 0.1020, 'gray11': 0.1098, 'grey11': 0.1098, 'gray12': 0.1216, 'grey12': 0.1216, 'gray13': 0.1294, 'grey13': 0.1294, 'gray14': 0.1412, 'grey14': 0.1412, 'gray15': 0.1490, 'grey15': 0.1490, 'gray16': 0.1608, 'grey16': 0.1608, 'gray17': 0.1686, 'grey17': 0.1686, 'gray18': 0.1804, 'grey18': 0.1804, 'gray19': 0.1882, 'grey19': 0.1882, 'gray20': 0.2000, 'grey20': 0.2000, 'gray21': 0.2118, 'grey21': 0.2118, 'gray22': 0.2196, 'grey22': 0.2196, 'gray23': 0.2314, 'grey23': 0.2314, 'gray24': 0.2392, 'grey24': 0.2392, 'gray25': 0.2510, 'grey25': 0.2510, 'gray26': 0.2588, 'grey26': 0.2588, 'gray27': 0.2706, 'grey27': 0.2706, 'gray28': 0.2784, 'grey28': 0.2784, 'gray29': 0.2902, 'grey29': 0.2902, 'gray30': 0.3020, 'grey30': 0.3020, 'gray31': 0.3098, 'grey31': 0.3098, 'gray32': 0.3216, 'grey32': 0.3216, 'gray33': 0.3294, 'grey33': 0.3294, 'gray34': 0.3412, 'grey34': 0.3412, 'gray35': 0.3490, 'grey35': 0.3490, 'gray36': 0.3608, 'grey36': 0.3608, 'gray37': 0.3686, 'grey37': 0.3686, 'gray38': 0.3804, 'grey38': 0.3804, 'gray39': 0.3882, 'grey39': 0.3882, 'gray40': 0.4000, 'grey40': 0.4000, 'gray41': 0.4118, 'grey41': 0.4118, 'gray42': 0.4196, 'grey42': 0.4196, 'gray43': 0.4314, 'grey43': 0.4314, 'gray44': 0.4392, 'grey44': 0.4392, 'gray45': 0.4510, 'grey45': 0.4510, 'gray46': 0.4588, 'grey46': 0.4588, 'gray47': 0.4706, 'grey47': 0.4706, 'gray48': 0.4784, 'grey48': 0.4784, 'gray49': 0.4902, 'grey49': 0.4902, 'gray50': 0.4980, 'grey50': 0.4980, 'gray51': 0.5098, 'grey51': 0.5098, 'gray52': 0.5216, 'grey52': 0.5216, 'gray53': 0.5294, 'grey53': 0.5294, 'gray54': 0.5412, 'grey54': 0.5412, 'gray55': 0.5490, 'grey55': 0.5490, 'gray56': 0.5608, 'grey56': 0.5608, 'gray57': 0.5686, 'grey57': 0.5686, 'gray58': 0.5804, 'grey58': 0.5804, 'gray59': 0.5882, 'grey59': 0.5882, 'gray60': 0.6000, 'grey60': 0.6000, 'gray61': 0.6118, 'grey61': 0.6118, 'gray62': 0.6196, 'grey62': 0.6196, 'gray63': 0.6314, 'grey63': 0.6314, 'gray64': 0.6392, 'grey64': 0.6392, 'gray65': 0.6510, 'grey65': 0.6510, 'gray66': 0.6588, 'grey66': 0.6588, 'gray67': 0.6706, 'grey67': 0.6706, 'gray68': 0.6784, 'grey68': 0.6784, 'gray69': 0.6902, 'grey69': 0.6902, 'gray70': 0.7020, 'grey70': 0.7020, 'gray71': 0.7098, 'grey71': 0.7098, 'gray72': 0.7216, 'grey72': 0.7216, 'gray73': 0.7294, 'grey73': 0.7294, 'gray74': 0.7412, 'grey74': 0.7412, 'gray75': 0.7490, 'grey75': 0.7490, 'gray76': 0.7608, 'grey76': 0.7608, 'gray77': 0.7686, 'grey77': 0.7686, 'gray78': 0.7804, 'grey78': 0.7804, 'gray79': 0.7882, 'grey79': 0.7882, 'gray80': 0.8000, 'grey80': 0.8000, 'gray81': 0.8118, 'grey81': 0.8118, 'gray82': 0.8196, 'grey82': 0.8196, 'gray83': 0.8314, 'grey83': 0.8314, 'gray84': 0.8392, 'grey84': 0.8392, 'gray85': 0.8510, 'grey85': 0.8510, 'gray86': 0.8588, 'grey86': 0.8588, 'gray87': 0.8706, 'grey87': 0.8706, 'gray88': 0.8784, 'grey88': 0.8784, 'gray89': 0.8902, 'grey89': 0.8902, 'gray90': 0.8980, 'grey90': 0.8980, 'gray91': 0.9098, 'grey91': 0.9098, 'gray92': 0.9216, 'grey92': 0.9216, 'gray93': 0.9294, 'grey93': 0.9294, 'gray94': 0.9412, 'grey94': 0.9412, 'gray95': 0.9490, 'grey95': 0.9490, 'gray96': 0.9608, 'grey96': 0.9608, 'gray97': 0.9686, 'grey97': 0.9686, 'gray98': 0.9804, 'grey98': 0.9804, 'gray99': 0.9882, 'grey99': 0.9882, 'gray100': 1.0000, 'grey100': 1.0000, 'dark grey': 0.6627, 'DarkGrey': 0.6627, 'dark gray': 0.6627, 'DarkGray': 0.6627, 'dark blue': array([0.0000, 0.0000, 0.5451]), 'DarkBlue': array([0.0000, 0.0000, 0.5451]), 'dark cyan': array([0.0000, 0.5451, 0.5451]), 'DarkCyan': array([0.0000, 0.5451, 0.5451]), 'dark magenta': array([0.5451, 0.0000, 0.5451]), 'DarkMagenta': array([0.5451, 0.0000, 0.5451]), 'dark red': array([0.5451, 0.0000, 0.0000]), 'DarkRed': array([0.5451, 0.0000, 0.0000]), 'light green': array([0.5647, 0.9333, 0.5647]), 'LightGreen': array([0.5647, 0.9333, 0.5647]), } del array # Prevent namespace pollution. def _MakeColorTable(outfile = None, infile = "/usr/lib/X11/rgb.txt"): import string, sys if type(infile) == type("string"): infile = open(infile) if outfile is None: outfile = sys.stdout if type(outfile) == type("string"): outfile = open(outfile, "w") outfile.write("ColorTable = {\n"); for line in infile.readlines(): line = string.strip(line) if not line or (line[0] in "%#!;"): continue # This is not a comment or an empty line words = string.split(line) name = "'" + string.join(words[3:], " ") + "':" if words[0] == words[1] and words[0] == words[2]: # Gray color clr = float(words[0])/255.0 outfile.write(" %-20s %6.4f,\n" % (name,clr)) else: clr = (name, float(words[0])/255.0, float(words[1])/255.0, float(words[2])/255.0) outfile.write(" %-20s array([%6.4f, %6.4f, %6.4f]),\n" % clr) outfile.write("}\n") outfile.flush() python-ase-3.6.0.2515/ase/md/0000755000175400017540000000000011757245036014362 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/md/logger.py0000644000175400017540000000626111551006462016206 0ustar askhlaskhl"""Logging for molecular dynamics.""" import weakref import sys import ase.units as units # ase.parallel imported in __init__ class MDLogger: """Class for logging molecular dynamics simulations. Parameters: dyn: The dynamics. Only a weak reference is kept. atoms: The atoms. logfile: File name or open file, "-" meaning standart output. stress=False: Include stress in log. peratom=False: Write energies per atom. mode="a": How the file is opened if logfile is a filename. """ def __init__(self, dyn, atoms, logfile, header=True, stress=False, peratom=False, mode="a"): import ase.parallel if ase.parallel.rank > 0: logfile="/dev/null" # Only log on master if hasattr(dyn, "get_time"): self.dyn = weakref.proxy(dyn) else: self.dyn = None self.atoms = atoms self.natoms = atoms.get_number_of_atoms() if logfile == "-": self.logfile = sys.stdout self.ownlogfile = False elif hasattr(logfile, "write"): self.logfile = logfile self.ownlogfile = False else: self.logfile = open(logfile, mode) self.ownlogfile = True self.stress = stress self.peratom = peratom if self.dyn is not None: self.hdr = "%-8s " % ("Time[ps]",) self.fmt = "%-8.2f " else: self.hdr = "" self.fmt = "" if self.peratom: self.hdr += "%12s %12s %12s %6s" % ("Etot/N[eV]", "Epot/N[eV]", "Ekin/N[eV]", "T[K]") self.fmt += "%12.4f %12.4f %12.4f %6.1f" else: self.hdr += "%12s %12s %12s %6s" % ("Etot[eV]", "Epot[eV]", "Ekin[eV]", "T[K]") # Choose a sensible number of decimals if self.natoms <= 10: digits = 4 elif self.natoms <= 100: digits = 3 elif self.natoms <= 1000: digits = 2 else: digits = 1 self.fmt += 3*("%%12.%df " % (digits,)) + " %6.1f" if self.stress: self.hdr += " ---------------- stress [GPa] -----------------" self.fmt += 6*" %10.3f" self.fmt += "\n" if header: self.logfile.write(self.hdr+"\n") def __del__(self): self.close() def close(self): if self.ownlogfile: self.logfile.close() def __call__(self): epot = self.atoms.get_potential_energy() ekin = self.atoms.get_kinetic_energy() temp = ekin / (1.5 * units.kB * self.natoms) if self.peratom: epot /= self.natoms ekin /= self.natoms if self.dyn is not None: t = self.dyn.get_time() / (1000*units.fs) dat = (t,) else: dat = () dat += (epot+ekin, epot, ekin, temp) if self.stress: dat += tuple(self.atoms.get_stress() / units.GPa) self.logfile.write(self.fmt % dat) self.logfile.flush() python-ase-3.6.0.2515/ase/md/__init__.py0000644000175400017540000000021411361570336016463 0ustar askhlaskhl"""Molecular Dynamics.""" from ase.md.logger import MDLogger from ase.md.verlet import VelocityVerlet from ase.md.langevin import Langevin python-ase-3.6.0.2515/ase/md/velocitydistribution.py0000644000175400017540000000445311710343512021223 0ustar askhlaskhl# VelocityDistributions.py -- set up a velocity distribution """Module for setting up e.g. Maxwell-Boltzmann velocity distributions. Currently, only one function is defined, MaxwellBoltzmannDistribution, which sets the momenta of a list of atoms according to a Maxwell-Boltzmann distribution at a given temperature. """ import sys import numpy as np from ase.parallel import world def _maxwellboltzmanndistribution(masses, temp, communicator=world): # For parallel GPAW simulations, the random velocities should be # distributed. Uses gpaw world communicator as default, but allow # option of specifying other communicator (for ensemble runs) xi = np.random.standard_normal((len(masses), 3)) communicator.broadcast(xi, 0) momenta = xi * np.sqrt(masses * temp)[:, np.newaxis] return momenta def MaxwellBoltzmannDistribution(atoms, temp, communicator=world): """Sets the momenta to a Maxwell-Boltzmann distribution.""" momenta = _maxwellboltzmanndistribution(atoms.get_masses(), temp, communicator) atoms.set_momenta(momenta) def Stationary(atoms): "Sets the center-of-mass momentum to zero." p = atoms.get_momenta() p0 = np.sum(p, 0) # We should add a constant velocity, not momentum, to the atoms m = atoms.get_masses() mtot = np.sum(m) v0 = p0 / mtot p -= v0 * m[:, np.newaxis] atoms.set_momenta(p) def ZeroRotation(atoms): "Sets the total angular momentum to zero by counteracting rigid rotations." # Find the principal moments of inertia and principal axes basis vectors Ip, basis = atoms.get_moments_of_inertia(vectors=True) # Calculate the total angular momentum and transform to principal basis Lp = np.dot(basis, atoms.get_angular_momentum()) # Calculate the rotation velocity vector in the principal basis, avoiding # zero division, and transform it back to the cartesian coordinate system omega = np.dot(np.linalg.inv(basis), np.select([Ip > 0], [Lp / Ip])) # We subtract a rigid rotation corresponding to this rotation vector com = atoms.get_center_of_mass() positions = atoms.get_positions() positions -= com # translate center of mass to origin velocities = atoms.get_velocities() atoms.set_velocities(velocities - np.cross(omega, positions)) python-ase-3.6.0.2515/ase/md/md.py0000644000175400017540000000242411556111170015322 0ustar askhlaskhl"""Molecular Dynamics.""" import warnings import numpy as np from ase.optimize.optimize import Dynamics from ase.data import atomic_masses from ase.md.logger import MDLogger class MolecularDynamics(Dynamics): """Base-class for all MD classes.""" def __init__(self, atoms, timestep, trajectory, logfile=None, loginterval=1): Dynamics.__init__(self, atoms, logfile=None, trajectory=trajectory) self.dt = timestep self.masses = self.atoms.get_masses() if 0 in self.masses: warnings.warn('Zero mass encountered in atoms; this will ' 'likely lead to errors if the massless atoms ' 'are unconstrained.') self.masses.shape = (-1, 1) if logfile: self.attach(MDLogger(dyn=self, atoms=atoms, logfile=logfile), interval=loginterval) def run(self, steps=50): """Integrate equation of motion.""" f = self.atoms.get_forces() if not self.atoms.has('momenta'): self.atoms.set_momenta(np.zeros_like(f)) for step in xrange(steps): f = self.step(f) self.nsteps += 1 self.call_observers() def get_time(self): return self.nsteps * self.dt python-ase-3.6.0.2515/ase/md/npt.py0000644000175400017540000007763411600331247015541 0ustar askhlaskhl'''Constant pressure/stress and temperature dynamics. Combined Nose-Hoover and Parrinello-Rahman dynamics, creating an NPT (or N,stress,T) ensemble. The method is the one proposed by Melchionna et al. [1] and later modified by Melchionna [2]. The differential equations are integrated using a centered difference method [3]. 1. S. Melchionna, G. Ciccotti and B. L. Holian, "Hoover NPT dynamics for systems varying in shape and size", Molecular Physics 78, p. 533 (1993). 2. S. Melchionna, "Constrained systems and statistical distribution", Physical Review E, 61, p. 6165 (2000). 3. B. L. Holian, A. J. De Groot, W. G. Hoover, and C. G. Hoover, "Time-reversible equilibrium and nonequilibrium isothermal-isobaric simulations with centered-difference Stoermer algorithms.", Physical Review A, 41, p. 4552 (1990). ''' __docformat__ = 'reStructuredText' from numpy import * import sys import weakref from ase.md.md import MolecularDynamics #from ASE.Trajectories.NetCDFTrajectory import NetCDFTrajectory # Delayed imports: If the trajectory object is reading a special ASAP version # of HooverNPT, that class is imported from Asap.Dynamics.NPTDynamics. class NPT(MolecularDynamics): '''Constant pressure/stress and temperature dynamics. Combined Nose-Hoover and Parrinello-Rahman dynamics, creating an NPT (or N,stress,T) ensemble. The method is the one proposed by Melchionna et al. [1] and later modified by Melchionna [2]. The differential equations are integrated using a centered difference method [3]. See also NPTdynamics.tex The dynamics object is called with the following parameters: atoms The list of atoms. dt The timestep in units matching eV, A, u. temperature The desired temperature in eV. externalstress The external stress in eV/A^3. Either a symmetric 3x3 tensor, a 6-vector representing the same, or a scalar representing the pressure. Note that the stress is positive in tension whereas the pressure is positive in compression: giving a scalar p is equivalent to giving the tensor (-p, -p, -p, 0, 0, 0). ttime Characteristic timescale of the thermostat. Set to None to disable the thermostat. pfactor A constant in the barostat differential equation. If a characteristic barostat timescale of ptime is desired, set pfactor to ptime^2 * B (where B is the Bulk Modulus). Set to None to disable the barostat. Typical metallic bulk moduli are of the order of 100 GPa or 0.6 eV/A^3. mask=None Optional argument. A tuple of three integers (0 or 1), indicating if the system can change size along the three Cartesian axes. Set to (1,1,1) or None to allow a fully flexible computational box. Set to (1,1,0) to disallow elongations along the z-axis etc. Useful parameter values: * The same timestep can be used as in Verlet dynamics, i.e. 5 fs is fine for bulk copper. * The ttime and pfactor are quite critical[4], too small values may cause instabilites and/or wrong fluctuations in T / p. Too large values cause an oscillation which is slow to die. Good values for the characteristic times seem to be 25 fs for ttime, and 75 fs for ptime (used to calculate pfactor), at least for bulk copper with 15000-200000 atoms. But this is not well tested, it is IMPORTANT to monitor the temperature and stress/pressure fluctuations. It has the following methods: __call__(n) Perform n timesteps. initialize() Estimates the dynamic variables for time=-1 to start the algorithm. This is automatically called before the first timestep. set_stress() Set the external stress. Use with care. It is preferable to set the right value when creating the object. set_mask() Change the mask. Use with care, as you may "freeze" a fluctuation in the strain rate. get_gibbs_free_energy() Gibbs free energy is supposed to be preserved by this dynamics. This is mainly intended as a diagnostic tool. References: 1) S. Melchionna, G. Ciccotti and B. L. Holian, Molecular Physics 78, p. 533 (1993). 2) S. Melchionna, Physical Review E 61, p. 6165 (2000). 3) B. L. Holian, A. J. De Groot, W. G. Hoover, and C. G. Hoover, Physical Review A 41, p. 4552 (1990). 4) F. D. Di Tolla and M. Ronchetti, Physical Review E 48, p. 1726 (1993). ''' classname = "NPT" # Used by the trajectory. def __init__(self, atoms, timestep, temperature, externalstress, ttime, pfactor, mask=None, trajectory=None, logfile=None, loginterval=1): MolecularDynamics.__init__(self, atoms, timestep, trajectory, logfile, loginterval) #self.atoms = atoms #self.timestep = timestep self.zero_center_of_mass_momentum(verbose=1) self.temperature = temperature self.set_stress(externalstress) self.set_mask(mask) self.eta = zeros((3,3), float) self.zeta = 0.0 self.zeta_integrated = 0.0 self.initialized = 0 self.ttime = ttime self.pfactor_given = pfactor self._calculateconstants() self.timeelapsed = 0.0 self.frac_traceless = 1 def set_temperature(self, temperature): self.temperature = temperature self._calculateconstants() def set_stress(self, stress): """Set the applied stress. Must be a symmetric 3x3 tensor, a 6-vector representing a symmetric 3x3 tensor, or a number representing the pressure. """ if type(stress) == type(1.0) or type(stress) == type(1): stress = array((-stress, -stress, -stress, 0.0, 0.0, 0.0)) elif stress.shape == (3,3): if not self._issymmetric(stress): raise ValueError, "The external stress must be a symmetric tensor." stress = array((stress[0,0], stress[1,1], stress[2,2], stress[1,2], stress[0,2], stress[0,1])) elif stress.shape != (6,): raise ValueError, "The external stress has the wrong shape." self.externalstress = stress def set_mask(self, mask): """Set the mask indicating dynamic elements of the computational box. If set to None, all elements may change. If set to a 3-vector of ones and zeros, elements which are zero specify directions along which the size of the computational box cannot change. For example, if mask = {1,1,0} the length of the system along the z-axis cannot change, although xz and yz shear is still possible. To disable shear globally, set the mode to diagonal (not yet implemented). """ if mask is None: mask = ones((3,)) if not hasattr(mask, "shape"): mask = array(mask) if mask.shape != (3,) and mask.shape != (3,3): raise "The mask has the wrong shape (must be a 3-vector or 3x3 matrix)" else: mask = not_equal(mask, 0) # Make sure it is 0/1 if mask.shape == (3,): self.mask = outer(mask, mask) else: self.mask = mask def set_fraction_traceless(self, fracTraceless): """set what fraction of the traceless part of the force on eta is kept. By setting this to zero, the volume may change but the shape may not. """ self.frac_traceless = fracTraceless def get_strain_rate(self): "Get the strain rate as an upper-triangular 3x3 matrix" return array(self.eta, copy=1) def set_strain_rate(self, rate): "Set the strain rate. Must be an upper triangular 3x3 matrix." if not (rate.shape == (3,3) and self._isuppertriangular(rate)): raise ValueError, "Strain rate must be an upper triangular matrix." self.eta = rate if self.initialized: # Recalculate h_past and eta_past so they match the current value. self._initialize_eta_h() def get_time(self): "Get the elapsed time." return self.timeelapsed def run(self, steps): """Perform a number of time steps.""" if not self.initialized: self.initialize() else: if self.have_the_atoms_been_changed(): raise NotImplementedError, "You have modified the atoms since the last timestep." for i in xrange(steps): self.step() self.nsteps += 1 self.call_observers() def have_the_atoms_been_changed(self): "Checks if the user has modified the positions or momenta of the atoms" limit = 1e-10 h = self._getbox() if max(abs((h - self.h).ravel())) > limit: self._warning("The computational box has been modified.") return 1 expected_r = dot(self.q + 0.5, h) err = max(abs((expected_r - self.atoms.get_positions()).ravel())) if err > limit: self._warning("The atomic positions have been modified: "+ str(err)) return 1 return 0 def step(self): """Perform a single time step. Assumes that the forces and stresses are up to date, and that the positions and momenta have not been changed since last timestep. """ ## Assumes the following variables are OK # q_past, q, q_future, p, eta, eta_past, zeta, zeta_past, h, h_past # # q corresponds to the current positions # p must be equal to self.atoms.GetCartesianMomenta() # h must be equal to self.atoms.GetUnitCell() # #print "Making a timestep" dt = self.dt h_future = self.h_past + 2*dt * dot(self.h, self.eta) if self.pfactor_given is None: deltaeta = zeros(6, float) else: stress = self.stresscalculator() deltaeta = -2*dt * (self.pfact * linalg.det(self.h) * (stress - self.externalstress)) if self.frac_traceless == 1: eta_future = self.eta_past + self.mask * self._makeuppertriangular(deltaeta) else: trace_part, traceless_part = self._separatetrace(self._makeuppertriangular(deltaeta)) eta_future = self.eta_past + trace_part + self.frac_traceless * traceless_part deltazeta = 2*dt*self.tfact * (self.atoms.get_kinetic_energy() - self.desiredEkin) zeta_future = self.zeta_past + deltazeta # Advance time #print "Max change in scaled positions:", max(abs(self.q_future.flat - self.q.flat)) #print "Max change in basis set", max(abs((h_future - self.h).flat)) self.timeelapsed += dt self.h_past = self.h self.h = h_future self.inv_h = linalg.inv(self.h) # Do not throw away the q arrays, they are "magical" on parallel # simulations (the contents migrate along with the atoms). (self.q_past, self.q, self.q_future) = (self.q, self.q_future, self.q_past) self._setbox_and_positions(self.h,self.q) self.eta_past = self.eta self.eta = eta_future self.zeta_past = self.zeta self.zeta = zeta_future self._synchronize() # for parallel simulations. self.zeta_integrated += dt * self.zeta force = self.forcecalculator() # The periodic boundary conditions may have moved the atoms. self.post_pbc_fix(fixfuture=0) self._calculate_q_future(force) self.atoms.set_momenta(dot(self.q_future-self.q_past, self.h/(2*dt)) * self._getmasses()) #self.stresscalculator() def forcecalculator(self): return self.atoms.get_forces() def stresscalculator(self): return self.atoms.get_stress() def initialize(self): """Initialize the dynamics. The dynamics requires positions etc for the two last times to do a timestep, so the algorithm is not self-starting. This method performs a 'backwards' timestep to generate a configuration before the current. """ #print "Initializing the NPT dynamics." dt = self.dt atoms = self.atoms self.h = self._getbox() if not self._isuppertriangular(self.h): print "I am", self print "self.h:" print self.h print "Min:", min((self.h[1,0], self.h[2,0], self.h[2,1])) print "Max:", max((self.h[1,0], self.h[2,0], self.h[2,1])) raise NotImplementedError, "Can (so far) only operate on lists of atoms where the computational box is an upper triangular matrix." self.inv_h = linalg.inv(self.h) # The contents of the q arrays should migrate in parallel simulations. self._make_special_q_arrays() self.q[:] = dot(self.atoms.get_positions(), self.inv_h) - 0.5 # zeta and eta were set in __init__ self._initialize_eta_h() deltazeta = dt * self.tfact * (atoms.get_kinetic_energy() - self.desiredEkin) self.zeta_past = self.zeta - deltazeta self._calculate_q_past_and_future() self.initialized = 1 def get_gibbs_free_energy(self): """Return the Gibb's free energy, which is supposed to be conserved. Requires that the energies of the atoms are up to date. This is mainly intended as a diagnostic tool. If called before the first timestep, Initialize will be called. """ if not self.initialized: self.initialize() n = self._getnatoms() #tretaTeta = sum(diagonal(matrixmultiply(transpose(self.eta), # self.eta))) contractedeta = sum((self.eta*self.eta).ravel()) gibbs = (self.atoms.get_potential_energy() + self.atoms.get_kinetic_energy() - sum(self.externalstress[0:3]) * linalg.det(self.h) / 3.0) if self.ttime is not None: gibbs += (1.5 * n * self.temperature * (self.ttime * self.zeta)**2 + 3 * self.temperature * (n-1) * self.zeta_integrated) else: assert self.zeta == 0.0 if self.pfactor_given is not None: gibbs += 0.5 / self.pfact * contractedeta else: assert contractedeta == 0.0 return gibbs def get_center_of_mass_momentum(self): "Get the center of mass momentum." return self.atoms.get_momenta().sum(0) def zero_center_of_mass_momentum(self, verbose=0): "Set the center of mass momentum to zero." cm = self.get_center_of_mass_momentum() abscm = sqrt(sum(cm*cm)) if verbose and abscm > 1e-4: self._warning(self.classname+": Setting the center-of-mass momentum to zero (was %.6g %.6g %.6g)" % tuple(cm)) self.atoms.set_momenta(self.atoms.get_momenta() - cm / self._getnatoms()) def post_pbc_fix(self, fixfuture=1): """Correct for atoms moved by the boundary conditions. If the fixfuture argument is 1 (the default), q_future is also corrected. This is not necessary when post_pbc_fix() is called from within Timestep(), but must be done when the user calls post_pbc_fix (for example if a CNA calculation may have triggered a migration). """ q = dot(self.atoms.get_positions(), self.inv_h) - 0.5 delta_q = floor(0.5 + (q - self.q)) self.q += delta_q self.q_past += delta_q if fixfuture: self.q_future += delta_q def attach_atoms(self, atoms): """Assign atoms to a restored dynamics object. This function must be called to set the atoms immediately after the dynamics object has been read from a trajectory. """ try: self.atoms except AttributeError: pass else: raise RuntimeError, "Cannot call attach_atoms on a dynamics which already has atoms." MolecularDynamics.__init__(self, atoms, self.dt) ####self.atoms = atoms limit = 1e-6 h = self._getbox() if max(abs((h - self.h).ravel())) > limit: raise RuntimeError, "The unit cell of the atoms does not match the unit cell stored in the file." self.inv_h = linalg.inv(self.h) self._make_special_q_arrays() self.q[:] = dot(self.atoms.get_positions(), self.inv_h) - 0.5 self._calculate_q_past_and_future() self.initialized = 1 def attach(self, function, interval=1, *args, **kwargs): """Attach callback function or trajectory. At every *interval* steps, call *function* with arguments *args* and keyword arguments *kwargs*. If *function* is a trajectory object, its write() method is attached, but if *function* is a BundleTrajectory (or another trajectory supporting set_extra_data(), said method is first used to instruct the trajectory to also save internal data from the NPT dynamics object. """ if hasattr(function, "set_extra_data"): # We are attaching a BundleTrajectory or similar function.set_extra_data("npt_init", WeakMethodWrapper(self, "get_init_data"), once=True) function.set_extra_data("npt_dynamics", WeakMethodWrapper(self, "get_data")) MolecularDynamics.attach(self, function, interval, *args, **kwargs) def get_init_data(self): "Return the data needed to initialize a new NPT dynamics." return {'dt': self.dt, 'temperature': self.temperature, 'desiredEkin': self.desiredEkin, 'externalstress': self.externalstress, 'mask': self.mask, 'ttime': self.ttime, 'tfact': self.tfact, 'pfactor_given': self.pfactor_given, 'pfact': self.pfact, 'frac_traceless': self.frac_traceless} def get_data(self): "Return data needed to restore the state." return {'eta': self.eta, 'eta_past': self.eta_past, 'zeta': self.zeta, 'zeta_past': self.zeta_past, 'zeta_integrated': self.zeta_integrated, 'h': self.h, 'h_past': self.h_past, 'timeelapsed': self.timeelapsed} @classmethod def read_from_trajectory(cls, trajectory, frame=-1, atoms=None): """Read dynamics and atoms from trajectory (Class method). Simultaneously reads the atoms and the dynamics from a BundleTrajectory, including the internal data of the NPT dynamics object (automatically saved when attaching a BundleTrajectory to an NPT object). Arguments:: trajectory The filename or an open BundleTrajectory object. frame (optional) Which frame to read. Default: the last. atoms (optional, internal use only) Pre-read atoms. Do not use. """ if isinstance(trajectory, str): if trajectory.endswith('/'): trajectory = trajectory[:-1] if trajectory.endswith('.bundle'): from ase.io.bundletrajectory import BundleTrajectory trajectory = BundleTrajectory(trajectory) else: raise ValueError("Cannot open '%': unsupported file format" % trajectory) # trajectory is now a BundleTrajectory object (or compatible) if atoms is None: atoms = trajectory[frame] init_data = trajectory.read_extra_data('npt_init', 0) frame_data = trajectory.read_extra_data('npt_dynamics', frame) dyn = cls(atoms, timestep=init_data['dt'], temperature=init_data['temperature'], externalstress=init_data['externalstress'], ttime=init_data['ttime'], pfactor=init_data['pfactor_given'], mask=init_data['mask']) dyn.desiredEkin = init_data['desiredEkin'] dyn.tfact = init_data['tfact'] dyn.pfact = init_data['pfact'] dyn.frac_traceless = init_data['frac_traceless'] for k, v in frame_data.items(): setattr(dyn, k, v) return (dyn, atoms) def _getbox(self): "Get the computational box." return self.atoms.get_cell() def _getmasses(self): "Get the masses as an Nx1 array." return reshape(self.atoms.get_masses(), (-1,1)) # def _getcartesianpositions(self): # "Get the cartesian positions of the atoms" # return self.atoms.get_positions() # def _getmomenta(self): # "Get the (cartesian) momenta of the atoms" # return self.atoms.GetCartesianMomenta() # def _getforces(self): # "Get the (cartesian) forces of the atoms" # return self.atoms.GetCartesianForces() # def _setmomenta(self, momenta): # "Set the (cartesian) momenta of the atoms" # self.atoms.SetCartesianMomenta(momenta) def _separatetrace(self, mat): """return two matrices, one proportional to the identity the other traceless, which sum to the given matrix """ tracePart = ((mat[0][0] + mat[1][1] + mat[2][2]) / 3.) * identity(3) return tracePart, mat - tracePart # A number of convenient helper methods def _warning(self, text): "Emit a warning." sys.stderr.write("WARNING: "+text+"\n") sys.stderr.flush() def _calculate_q_future(self, force): "Calculate future q. Needed in Timestep and Initialization." dt = self.dt id3 = identity(3) alpha = (dt * dt) * dot(force / self._getmasses(), self.inv_h) beta = dt * dot(self.h, dot(self.eta + 0.5 * self.zeta * id3, self.inv_h)) inv_b = linalg.inv(beta + id3) self.q_future[:] = dot(2*self.q + dot(self.q_past, beta - id3) + alpha, inv_b) def _calculate_q_past_and_future(self): def ekin(p, m = self.atoms.get_masses()): p2 = sum(p*p, -1) return 0.5 * sum(p2 / m) / len(m) p0 = self.atoms.get_momenta() m = self._getmasses() e0 = ekin(p0) p = array(p0, copy=1) dt = self.dt for i in range(2): self.q_past[:] = self.q - dt * dot(p / m, self.inv_h) self._calculate_q_future(self.atoms.get_forces()) p = dot(self.q_future - self.q_past, self.h/(2*dt)) * m e = ekin(p) if e < 1e-5: # The kinetic energy and momenta are virtually zero return p = (p0 - p) + p0 def _initialize_eta_h(self): self.h_past = self.h - self.dt * dot(self.h, self.eta) if self.pfactor_given is None: deltaeta = zeros(6, float) else: deltaeta = (-self.dt * self.pfact * linalg.det(self.h) * (self.atoms.get_stress() - self.externalstress)) if self.frac_traceless == 1: self.eta_past = self.eta - self.mask * self._makeuppertriangular(deltaeta) else: trace_part, traceless_part = self._separatetrace(self._makeuppertriangular(deltaeta)) self.eta_past = self.eta - trace_part - self.frac_traceless * traceless_part def _makeuppertriangular(self, sixvector): "Make an upper triangular matrix from a 6-vector." return array(((sixvector[0], sixvector[5], sixvector[4]), (0, sixvector[1], sixvector[3]), (0, 0, sixvector[2]))) def _isuppertriangular(self, m): "Check that a matrix is on upper triangular form." return m[1,0] == m[2,0] == m[2,1] == 0.0 def _calculateconstants(self): "(Re)calculate some constants when pfactor, ttime or temperature have been changed." n = self._getnatoms() if self.ttime is None: self.tfact = 0.0 else: self.tfact = 2.0 / (3 * n * self.temperature * self.ttime * self.ttime) if self.pfactor_given is None: self.pfact = 0.0 else: self.pfact = 1.0 / (self.pfactor_given * linalg.det(self._getbox())) #self.pfact = 1.0/(n * self.temperature * self.ptime * self.ptime) self.desiredEkin = 1.5 * (n - 1) * self.temperature def _setbox_and_positions(self, h, q): """Set the computational box and the positions.""" self.atoms.set_cell(h, scale_atoms=True) r = dot(q + 0.5, h) self.atoms.set_positions(r) # A few helper methods, which have been placed in separate methods # so they can be replaced in the parallel version. def _synchronize(self): """Synchronizes eta, h and zeta on all processors in a parallel simulation. In a parallel simulation, eta, h and zeta are communicated from the master to all slaves, to prevent numerical noise from causing them to diverge. In a serial simulation, do nothing. """ pass # This is a serial simulation object. Do nothing. def _getnatoms(self): """Get the number of atoms. In a parallel simulation, this is the total number of atoms on all processors. """ return len(self.atoms) def _make_special_q_arrays(self): """Make the arrays used to store data about the atoms. In a parallel simulation, these are migrating arrays. In a serial simulation they are ordinary Numeric arrays. """ natoms = len(self.atoms) self.q = zeros((natoms,3), float) self.q_past = zeros((natoms,3), float) self.q_future = zeros((natoms,3), float) class WeakMethodWrapper: """A weak reference to a method. Create an object storing a weak reference to an instance and the name of the method to call. When called, calls the method. Just storing a weak reference to a bound method would not work, as the bound method object would go away immediately. """ def __init__(self, obj, method): self.obj = weakref.proxy(obj) self.method = method def __call__(self, *args, **kwargs): m = getattr(self.obj, self.method) return m(*args, **kwargs) # class _HooverNPTTrajectory: # """A Trajectory-like object storing data in a HooverNPT object.""" # def InitForWrite(self): # """Does initialization related to write mode.""" # self.CreateDimension('unlim', None) # self.nc.history = 'ASE NPT trajectory' # self.nc.version = '0.1' # self.nc.classname = self.atoms.classname # self.unlim = 0 # self.nc.lengthunit = units.GetLengthUnit() # self.nc.energyunit = units.GetEnergyUnit() # self.conversion = (1, 1) # def InitForWriteOrAppend(self): # """Does initialization related to write and append mode. # Either InitForWrite or InitForReadOrAppend will have been # called before calling this method. # """ # names = copy.copy(self.known_names) # if self.atoms.ttime is None: # del names['ttime'] # if self.atoms.pfactor_given is None: # del names['pfactor_given'] # for d in names.keys(): # def getdata(atoms=self.atoms, name=d): # return getattr(atoms, name) # self.Add(d, data = getdata) # known_names = { # # name shape typecode once units # # ---------------------------------------------------------------- # 'dt': ((), Float, True, (1, -0.5)), # 'temperature': ((), Float, True, (0, 1)), # 'desiredEkin': ((), Float, True, (0, 1)), # 'externalstress': ((6,), Float, True, (-3, 1)), # 'mask': ((3, 3), Float, True, (0, 0)), # 'ttime': ((), Float, True, (1, -0.5)), # 'tfact': ((), Float, True, (-2, 0)), # 'pfactor_given': ((), Float, True, (-1, 0)), # 'pfact': ((), Float, True, (-2, 0)), # 'frac_traceless': ((), Float, True, (0, 0)), # 'eta': ((3, 3), Float, False, (-1, 0.5)), # 'eta_past': ((3, 3), Float, False, (-1, 0.5)), # 'zeta': ((), Float, False, (-1, 0.5)), # 'zeta_past': ((), Float, False, (-1, 0.5)), # 'zeta_integrated': ((), Float, False, (0, 0)), # 'h': ((3, 3), Float, False, (1, 0)), # 'h_past': ((3, 3), Float, False, (1, 0)), # 'timeelapsed': ((), Float, False, (1, -0.5)) # } # # This trajectory does not store a list of atoms # def GetListOfAtoms(self, frame=None): # raise AttributeError, "GetListOfAtoms makes no sense in a HooverNPTTrajectory" # # Instead, we store a dynamics # def GetDynamics(self, frame=None): # """Get a HooverNPT Dynamics object. # If a frame number is not given, the current frame is used. # The variant of the object (ASE HooverNPT, ASAP Serial/Parallel NPT) # will be the same as the stored object. # After getting the dynamics, the atoms should be attached with the # dynamics.attach_atoms(atoms) method. # """ # # Bypass calling the normal constructor # class Dummy: # pass # dyn = Dummy() # dyn.__class__ = self.getClass(self.nc.classname) # vars = self.nc.variables # for q in self.known_names.keys(): # if vars.has_key(q): # once = self.known_names[q][2] # if once: # setattr(dyn, q, vars[q].getValue()) # else: # setattr(dyn, q, vars[q][frame]) # return dyn # def getClass(self, classname): # "Internal function: turns a class name into a class object." # if self.nc.classname == "HooverNPT": # return HooverNPT # else: # raise RuntimeError, ("Cannot create a dynamics of type " # + self.nc.classname) # class HooverNPTTrajectory(_HooverNPTTrajectory,NetCDFTrajectory): # """A Trajectory-like object storing data in a HooverNPT object.""" # def __init__(self, filename, dynamics=None, mode=None, interval=1): # """Open the NetCDF file. # If there is no ``dynamics`` argument, then the file is opened # in read mode - otherwise, write or append mode is used. The # ``interval`` argument determines how often the configurations # are written to file.""" # # Call the original constructor, but passing the dynamics instead of # # the atoms. # if dynamics is not None: # # Prevents a circular reference when the trajectory is attached # # to the dynamics it observes. # dynamics = weakref.proxy(dynamics) # NetCDFTrajectory.__init__(self, filename, # atoms=dynamics, # mode=mode, interval=interval) python-ase-3.6.0.2515/ase/md/nvtberendsen.py0000644000175400017540000000621111564503727017431 0ustar askhlaskhl"""Berendsen NVT dynamics class.""" import sys import numpy as np from ase.md.md import MolecularDynamics from ase.parallel import world class NVTBerendsen(MolecularDynamics): """Berendsen (constant N, V, T) molecular dynamics. Usage: NVTBerendsen(atoms, timestep, temperature, taut, fixcm) atoms The list of atoms. timestep The time step. temperature The desired temperature, in Kelvin. taut Time constant for Berendsen temperature coupling. fixcm If True, the position and momentum of the center of mass is kept unperturbed. Default: True. """ def __init__(self, atoms, timestep, temperature, taut, fixcm=True, trajectory=None, logfile=None, loginterval=1, communicator=world): MolecularDynamics.__init__(self, atoms, timestep, trajectory, logfile, loginterval) self.taut = taut self.temperature = temperature self.fixcm = fixcm # will the center of mass be held fixed? self.communicator = communicator def set_taut(self, taut): self.taut = taut def get_taut(self): return self.taut def set_temperature(self, temperature): self.temperature = temperature def get_temperature(self): return self.temperature def set_timestep(self, timestep): self.dt = timestep def get_timestep(self): return self.dt def scale_velocities(self): """ Do the NVT Berendsen velocity scaling """ tautscl = self.dt / self.taut old_temperature = self.atoms.get_temperature() scl_temperature = np.sqrt(1.0+ (self.temperature/ old_temperature- 1.0) *tautscl) #limit the velocity scaling to reasonable values if scl_temperature > 1.1: scl_temperature = 1.1 if scl_temperature < 0.9: scl_temperature = 0.9 atoms = self.atoms p = self.atoms.get_momenta() p = scl_temperature * p self.atoms.set_momenta(p) return def step(self, f): """ move one timestep forward using Berenden NVT molecular dynamics.""" self.scale_velocities() #one step velocity verlet atoms = self.atoms p = self.atoms.get_momenta() p += 0.5 * self.dt * f if self.fixcm: # calculate the center of mass # momentum and subtract it psum = p.sum(axis=0) / float(len(p)) p = p - psum self.atoms.set_positions(self.atoms.get_positions() + self.dt * p / self.atoms.get_masses()[:,np.newaxis]) # We need to store the momenta on the atoms before calculating # the forces, as in a parallel Asap calculation atoms may # migrate during force calculations, and the momenta need to # migrate along with the atoms. For the same reason, we # cannot use self.masses in the line above. self.atoms.set_momenta(p) f = self.atoms.get_forces() atoms.set_momenta(self.atoms.get_momenta() + 0.5 * self.dt * f) return f python-ase-3.6.0.2515/ase/md/nptberendsen.py0000644000175400017540000001334411551006462017416 0ustar askhlaskhl"""Berendsen NPT dynamics class.""" import numpy as np #from ase.md import MolecularDynamics from ase.md.nvtberendsen import NVTBerendsen import ase.units as units #import math class NPTBerendsen(NVTBerendsen): """Berendsen (constant N, P, T) molecular dynamics. This dynamics scale the velocities and volumes to maintain a constant pressure and temperature. The shape of the simulation cell is not altered, if that is desired use Inhomogenous_NPTBerendsen. Usage: NPTBerendsen(atoms, timestep, temperature, taut, pressure, taup) atoms The list of atoms. timestep The time step. temperature The desired temperature, in Kelvin. taut Time constant for Berendsen temperature coupling. fixcm If True, the position and momentum of the center of mass is kept unperturbed. Default: True. pressure The desired pressure, in bar (1 bar = 1e5 Pa). taup Time constant for Berendsen pressure coupling. compressibility The compressibility of the material, water 4.57E-5 bar-1, in bar-1 """ def __init__(self, atoms, timestep, temperature, taut=0.5e3*units.fs, pressure = 1.01325, taup=1e3*units.fs, compressibility=4.57e-5, fixcm=True, trajectory=None, logfile=None, loginterval=1): NVTBerendsen.__init__(self, atoms, timestep, temperature, taut, fixcm, trajectory, logfile, loginterval) self.taup = taup self.pressure = pressure self.compressibility = compressibility def set_taup(self, taut): self.taut = taut def get_taup(self): return self.taut def set_pressure(self, pressure): self.pressure = pressure def get_pressure(self): return self.pressure def set_compressibility(self, compressibility): self.compressibility = compressibility def get_compressibility(self): return self.compressibility def set_timestep(self, timestep): self.dt = timestep def get_timestep(self): return self.dt def scale_positions_and_cell(self): """ Do the Berendsen pressure coupling, scale the atom positon and the simulation cell.""" taupscl = self.dt / self.taup stress = self.atoms.get_stress() old_pressure = self.atoms.get_isotropic_pressure(stress) scl_pressure = 1.0 - taupscl * self.compressibility / 3.0 * \ (self.pressure - old_pressure) #print "old_pressure", old_pressure #print "volume scaling by:", scl_pressure cell = self.atoms.get_cell() cell = scl_pressure * cell self.atoms.set_cell(cell, scale_atoms=True) def step(self, f): """ move one timestep forward using Berenden NPT molecular dynamics.""" NVTBerendsen.scale_velocities(self) self.scale_positions_and_cell() #one step velocity verlet atoms = self.atoms p = self.atoms.get_momenta() p += 0.5 * self.dt * f if self.fixcm: # calculate the center of mass # momentum and subtract it psum = p.sum(axis=0) / float(len(p)) p = p - psum self.atoms.set_positions(self.atoms.get_positions() + self.dt * p / self.atoms.get_masses()[:,np.newaxis]) # We need to store the momenta on the atoms before calculating # the forces, as in a parallel Asap calculation atoms may # migrate during force calculations, and the momenta need to # migrate along with the atoms. For the same reason, we # cannot use self.masses in the line above. self.atoms.set_momenta(p) f = self.atoms.get_forces() atoms.set_momenta(self.atoms.get_momenta() + 0.5 * self.dt * f) return f class Inhomogenous_NPTBerendsen(NPTBerendsen): """Berendsen (constant N, P, T) molecular dynamics. This dynamics scale the velocities and volumes to maintain a constant pressure and temperature. The size of the unit cell is allowed to change independently in the three directions, but the angles remain constant. Usage: NPTBerendsen(atoms, timestep, temperature, taut, pressure, taup) atoms The list of atoms. timestep The time step. temperature The desired temperature, in Kelvin. taut Time constant for Berendsen temperature coupling. fixcm If True, the position and momentum of the center of mass is kept unperturbed. Default: True. pressure The desired pressure, in bar (1 bar = 1e5 Pa). taup Time constant for Berendsen pressure coupling. compressibility The compressibility of the material, water 4.57E-5 bar-1, in bar-1 """ def scale_positions_and_cell(self): """ Do the Berendsen pressure coupling, scale the atom positon and the simulation cell.""" taupscl = self.dt * self.compressibility / self.taup / 3.0 stress = - self.atoms.get_stress() * 1e-5 / units.Pascal if stress.shape == (6,): stress = stress[:3] elif stress.shape == (3,3): stress = [stress[i][i] for i in range(3)] else: raise ValueError("Cannot use a stress tensor of shape " + str(stress.shape)) scl_pressurex = 1.0 - taupscl * (self.pressure - stress[0]) scl_pressurey = 1.0 - taupscl * (self.pressure - stress[1]) scl_pressurez = 1.0 - taupscl * (self.pressure - stress[2]) cell = self.atoms.get_cell() cell = np.array([scl_pressurex * cell[0],scl_pressurey * cell[1],scl_pressurez * cell[2]]) self.atoms.set_cell(cell, scale_atoms=True) python-ase-3.6.0.2515/ase/md/verlet.py0000644000175400017540000000202011441375152016220 0ustar askhlaskhlimport numpy as np from ase.md.md import MolecularDynamics class VelocityVerlet(MolecularDynamics): def __init__(self, atoms, dt, trajectory=None, logfile=None, loginterval=1): MolecularDynamics.__init__(self, atoms, dt, trajectory, logfile, loginterval) def step(self, f): p = self.atoms.get_momenta() p += 0.5 * self.dt * f self.atoms.set_positions(self.atoms.get_positions() + self.dt * p / self.atoms.get_masses()[:,np.newaxis]) # We need to store the momenta on the atoms before calculating # the forces, as in a parallel Asap calculation atoms may # migrate during force calculations, and the momenta need to # migrate along with the atoms. For the same reason, we # cannot use self.masses in the line above. self.atoms.set_momenta(p) f = self.atoms.get_forces() self.atoms.set_momenta(self.atoms.get_momenta() + 0.5 * self.dt * f) return f python-ase-3.6.0.2515/ase/md/langevin.py0000644000175400017540000000775111564503727016551 0ustar askhlaskhl"""Langevin dynamics class.""" import sys import numpy as np from numpy.random import standard_normal from ase.md.md import MolecularDynamics from ase.parallel import world class Langevin(MolecularDynamics): """Langevin (constant N, V, T) molecular dynamics. Usage: Langevin(atoms, dt, temperature, friction) atoms The list of atoms. dt The time step. temperature The desired temperature, in energy units. friction A friction coefficient, typically 1e-4 to 1e-2. fixcm If True, the position and momentum of the center of mass is kept unperturbed. Default: True. The temperature and friction are normally scalars, but in principle one quantity per atom could be specified by giving an array. This dynamics accesses the atoms using Cartesian coordinates.""" def __init__(self, atoms, timestep, temperature, friction, fixcm=True, trajectory=None, logfile=None, loginterval=1, communicator=world): MolecularDynamics.__init__(self, atoms, timestep, trajectory, logfile, loginterval) self.temp = temperature self.frict = friction self.fixcm = fixcm # will the center of mass be held fixed? self.communicator = communicator self.updatevars() def set_temperature(self, temperature): self.temp = temperature self.updatevars() def set_friction(self, friction): self.frict = friction self.updatevars() def set_timestep(self, timestep): self.dt = timestep self.updatevars() def updatevars(self): dt = self.dt # If the friction is an array some other constants must be arrays too. self._localfrict = hasattr(self.frict, 'shape') lt = self.frict * dt masses = self.masses sdpos = dt * np.sqrt(self.temp / masses * (2.0/3.0 - 0.5 * lt) * lt) sdpos.shape = (-1, 1) sdmom = np.sqrt(self.temp * masses * 2.0 * (1.0 - lt) * lt) sdmom.shape = (-1, 1) pmcor = np.sqrt(3.0)/2.0 * (1.0 - 0.125 * lt) cnst = np.sqrt((1.0 - pmcor) * (1.0 + pmcor)) act0 = 1.0 - lt + 0.5 * lt * lt act1 = (1.0 - 0.5 * lt + (1.0/6.0) * lt * lt) act2 = 0.5 - (1.0/6.0) * lt + (1.0/24.0) * lt * lt c1 = act1 * dt / masses c1.shape = (-1, 1) c2 = act2 * dt * dt / masses c2.shape = (-1, 1) c3 = (act1 - act2) * dt c4 = act2 * dt del act1, act2 if self._localfrict: # If the friction is an array, so are these act0.shape = (-1, 1) c3.shape = (-1, 1) c4.shape = (-1, 1) pmcor.shape = (-1, 1) cnst.shape = (-1, 1) self.sdpos = sdpos self.sdmom = sdmom self.c1 = c1 self.c2 = c2 self.act0 = act0 self.c3 = c3 self.c4 = c4 self.pmcor = pmcor self.cnst = cnst def step(self, f): atoms = self.atoms p = self.atoms.get_momenta() random1 = standard_normal(size=(len(atoms), 3)) random2 = standard_normal(size=(len(atoms), 3)) self.communicator.broadcast(random1, 0) self.communicator.broadcast(random2, 0) rrnd = self.sdpos * random1 prnd = (self.sdmom * self.pmcor * random1 + self.sdmom * self.cnst * random2) if self.fixcm: rrnd = rrnd - np.sum(rrnd, 0) / len(atoms) prnd = prnd - np.sum(prnd, 0) / len(atoms) n = len(atoms) rrnd *= np.sqrt(n / (n - 1.0)) prnd *= np.sqrt(n / (n - 1.0)) atoms.set_positions(atoms.get_positions() + self.c1 * p + self.c2 * f + rrnd) p *= self.act0 p += self.c3 * f + prnd atoms.set_momenta(p) f = atoms.get_forces() atoms.set_momenta(p + self.c4 * f) return f python-ase-3.6.0.2515/ase/dimer.py0000644000175400017540000013110011526201367015421 0ustar askhlaskhl"""Minimum mode follower for finding saddle points in an unbiased way. There is, currently, only one implemented method: The Dimer method. """ import sys import time import warnings import numpy as np from ase.optimize.optimize import Optimizer from math import cos, sin, atan, tan, degrees, pi, sqrt from ase.parallel import rank, size, world from ase.calculators.singlepoint import SinglePointCalculator # Handy vector methods norm = np.linalg.norm def normalize(vector): """Create a unit vector along *vector*""" return vector / norm(vector) def parallel_vector(vector, base): """Extract the components of *vector* that are parallel to *base*""" return np.vdot(vector, base) * base def perpendicular_vector(vector, base): """Remove the components of *vector* that are parallel to *base*""" return vector - parallel_vector(vector, base) def rotate_vectors(v1i, v2i, angle): """Rotate vectors *v1i* and *v2i* by *angle*""" cAng = cos(angle) sAng = sin(angle) v1o = v1i * cAng + v2i * sAng v2o = v2i * cAng - v1i * sAng # Ensure the length of the input and output vectors is equal return normalize(v1o) * norm(v1i), normalize(v2o) * norm(v2i) class DimerEigenmodeSearch: """An implementation of the Dimer's minimum eigenvalue mode search. This class implements the rotational part of the dimer saddle point searching method. Parameters: atoms : MinModeAtoms object MinModeAtoms is an extension to the Atoms object, which includes information about the lowest eigenvalue mode. control : DimerControl object Contains the parameters necessary for the eigenmode search. If no control object is supplied a default DimerControl will be created and used. basis : list of xyz-values Eigenmode. Must be an ndarray of shape (n, 3). It is possible to constrain the eigenmodes to be orthogonal to this given eigenmode. Notes: The code is inspired, with permission, by code written by the Henkelman group, which can be found at http://theory.cm.utexas.edu/vtsttools/code/ References: .. [1] Henkelman and Jonsson, JCP 111, 7010 (1999) .. [2] Olsen, Kroes, Henkelman, Arnaldsson, and Jonsson, JCP 121, 9776 (2004). .. [3] Heyden, Bell, and Keil, JCP 123, 224101 (2005). .. [4] Kastner and Sherwood, JCP 128, 014106 (2008). """ def __init__(self, atoms, control=None, eigenmode=None, basis=None, \ **kwargs): if hasattr(atoms, 'get_eigenmode'): self.atoms = atoms else: e = 'The atoms object must be a MinModeAtoms object' raise TypeError(e) self.basis = basis if eigenmode is None: self.eigenmode = self.atoms.get_eigenmode() else: self.eigenmode = eigenmode if control is None: self.control = DimerControl(**kwargs) w = 'Missing control object in ' + self.__class__.__name__ + \ '. Using default: DimerControl()' warnings.warn(w, UserWarning) if self.control.logfile is not None: self.control.logfile.write('DIM:WARN: ' + w + '\n') self.control.logfile.flush() else: self.control = control # kwargs must be empty if a control object is supplied for key in kwargs: e = '__init__() got an unexpected keyword argument \'%s\'' % \ (key) raise TypeError(e) self.dR = self.control.get_parameter('dimer_separation') self.logfile = self.control.get_logfile() def converge_to_eigenmode(self): """Perform an eigenmode search.""" self.set_up_for_eigenmode_search() stoprot = False # Load the relevant parameters from control f_rot_min = self.control.get_parameter('f_rot_min') f_rot_max = self.control.get_parameter('f_rot_max') trial_angle = self.control.get_parameter('trial_angle') max_num_rot = self.control.get_parameter('max_num_rot') extrapolate = self.control.get_parameter('extrapolate_forces') while not stoprot: if self.forces1E == None: self.update_virtual_forces() else: self.update_virtual_forces(extrapolated_forces = True) self.forces1A = self.forces1 self.update_curvature() f_rot_A = self.get_rotational_force() # Pre rotation stop criteria if norm(f_rot_A) <= f_rot_min: self.log(f_rot_A, None) stoprot = True else: n_A = self.eigenmode rot_unit_A = normalize(f_rot_A) # Get the curvature and its derivative c0 = self.get_curvature() c0d = np.vdot((self.forces2 - self.forces1), rot_unit_A) / \ self.dR # Trial rotation (no need to store the curvature) # NYI variable trial angles from [3] n_B, rot_unit_B = rotate_vectors(n_A, rot_unit_A, trial_angle) self.eigenmode = n_B self.update_virtual_forces() self.forces1B = self.forces1 # Get the curvature's derivative c1d = np.vdot((self.forces2 - self.forces1), rot_unit_B) / \ self.dR # Calculate the Fourier coefficients a1 = c0d * cos(2 * trial_angle) - c1d / \ (2 * sin(2 * trial_angle)) b1 = 0.5 * c0d a0 = 2 * (c0 - a1) # Estimate the rotational angle rotangle = atan(b1 / a1) / 2.0 # Make sure that you didn't find a maximum cmin = a0 / 2.0 + a1 * cos(2 * rotangle) + \ b1 * sin(2 * rotangle) if c0 < cmin: rotangle += pi / 2.0 # Rotate into the (hopefully) lowest eigenmode # NYI Conjugate gradient rotation n_min, dummy = rotate_vectors(n_A, rot_unit_A, rotangle) self.update_eigenmode(n_min) # Store the curvature estimate instead of the old curvature self.update_curvature(cmin) self.log(f_rot_A, rotangle) # Force extrapolation scheme from [4] if extrapolate: self.forces1E = sin(trial_angle - rotangle) / \ sin(trial_angle) * self.forces1A + sin(rotangle) / \ sin(trial_angle) * self.forces1B + \ (1 - cos(rotangle) - sin(rotangle) * \ tan(trial_angle / 2.0)) * self.forces0 else: self.forces1E = None # Post rotation stop criteria if not stoprot: if self.control.get_counter('rotcount') >= max_num_rot: stoprot = True elif norm(f_rot_A) <= f_rot_max: stoprot = True def log(self, f_rot_A, angle): """Log each rotational step.""" # NYI Log for the trial angle if self.logfile is not None: if angle: l = 'DIM:ROT: %7d %9d %9.4f %9.4f %9.4f\n' % \ (self.control.get_counter('optcount'), self.control.get_counter('rotcount'), self.get_curvature(), degrees(angle), norm(f_rot_A)) else: l = 'DIM:ROT: %7d %9d %9.4f %9s %9.4f\n' % \ (self.control.get_counter('optcount'), self.control.get_counter('rotcount'), self.get_curvature(), '---------', norm(f_rot_A)) self.logfile.write(l) self.logfile.flush() def get_rotational_force(self): """Calculate the rotational force that acts on the dimer.""" rot_force = perpendicular_vector((self.forces1 - self.forces2), self.eigenmode) / (2.0 * self.dR) if self.basis is not None: if len(self.basis) == len(self.atoms) and len(self.basis[0]) == \ 3 and isinstance(self.basis[0][0], float): rot_force = perpendicular_vector(rot_force, self.basis) else: for base in self.basis: rot_force = perpendicular_vector(rot_force, base) return rot_force def update_curvature(self, curv = None): """Update the curvature in the MinModeAtoms object.""" if curv: self.curvature = curv else: self.curvature = np.vdot((self.forces2 - self.forces1), self.eigenmode) / (2.0 * self.dR) def update_eigenmode(self, eigenmode): """Update the eigenmode in the MinModeAtoms object.""" self.eigenmode = eigenmode self.update_virtual_positions() self.control.increment_counter('rotcount') def get_eigenmode(self): """Returns the current eigenmode.""" return self.eigenmode def get_curvature(self): """Returns the curvature along the current eigenmode.""" return self.curvature def get_control(self): """Return the control object.""" return self.control def update_center_forces(self): """Get the forces at the center of the dimer.""" self.atoms.set_positions(self.pos0) self.forces0 = self.atoms.get_forces(real = True) self.energy0 = self.atoms.get_potential_energy() def update_virtual_forces(self, extrapolated_forces = False): """Get the forces at the endpoints of the dimer.""" self.update_virtual_positions() # Estimate / Calculate the forces at pos1 if extrapolated_forces: self.forces1 = self.forces1E.copy() else: self.forces1 = self.atoms.get_forces(real = True, pos = self.pos1) # Estimate / Calculate the forces at pos2 if self.control.get_parameter('use_central_forces'): self.forces2 = 2 * self.forces0 - self.forces1 else: self.forces2 = self.atoms.get_forces(real = True, pos = self.pos2) def update_virtual_positions(self): """Update the end point positions.""" self.pos1 = self.pos0 + self.eigenmode * self.dR self.pos2 = self.pos0 - self.eigenmode * self.dR def set_up_for_eigenmode_search(self): """Before eigenmode search, prepare for rotation.""" self.pos0 = self.atoms.get_positions() self.update_center_forces() self.update_virtual_positions() self.control.reset_counter('rotcount') self.forces1E = None def set_up_for_optimization_step(self): """At the end of rotation, prepare for displacement of the dimer.""" self.atoms.set_positions(self.pos0) self.forces1E = None class MinModeControl: """A parent class for controlling minimum mode saddle point searches. Method specific control classes inherit this one. The only thing inheriting classes need to implement are the log() method and the *parameters* class variable with default values for ALL parameters needed by the method in question. When instantiating control classes default parameter values can be overwritten. """ parameters = {} def __init__(self, logfile = '-', eigenmode_logfile=None, **kwargs): # Overwrite the defaults with the input parameters given for key in kwargs: if not key in self.parameters.keys(): e = 'Invalid parameter >>%s<< with value >>%s<< in %s' % \ (key, str(kwargs[key]), self.__class__.__name__) raise ValueError(e) else: self.set_parameter(key, kwargs[key], log = False) # Initialize the log files self.initialize_logfiles(logfile, eigenmode_logfile) # Initialize the counters self.counters = {'forcecalls': 0, 'rotcount': 0, 'optcount': 0} self.log() def initialize_logfiles(self, logfile=None, eigenmode_logfile=None): """Set up the log files.""" # Set up the regular logfile if rank != 0: logfile = None elif isinstance(logfile, str): if logfile == '-': logfile = sys.stdout else: logfile = open(logfile, 'a') self.logfile = logfile # Set up the eigenmode logfile if eigenmode_logfile: if rank != 0: eigenmode_logfile = None elif isinstance(eigenmode_logfile, str): if eigenmode_logfile == '-': eigenmode_logfile = sys.stdout else: eigenmode_logfile = open(eigenmode_logfile, 'a') self.eigenmode_logfile = eigenmode_logfile def log(self, parameter=None): """Log the parameters of the eigenmode search.""" pass def set_parameter(self, parameter, value, log=True): """Change a parameter's value.""" if not parameter in self.parameters.keys(): e = 'Invalid parameter >>%s<< with value >>%s<<' % \ (parameter, str(value)) raise ValueError(e) self.parameters[parameter] = value if log: self.log(parameter) def get_parameter(self, parameter): """Returns the value of a parameter.""" if not parameter in self.parameters.keys(): e = 'Invalid parameter >>%s<<' % \ (parameter) raise ValueError(e) return self.parameters[parameter] def get_logfile(self): """Returns the log file.""" return self.logfile def get_eigenmode_logfile(self): """Returns the eigenmode log file.""" return self.eigenmode_logfile def get_counter(self, counter): """Returns a given counter.""" return self.counters[counter] def increment_counter(self, counter): """Increment a given counter.""" self.counters[counter] += 1 def reset_counter(self, counter): """Reset a given counter.""" self.counters[counter] = 0 def reset_all_counters(self): """Reset all counters.""" for key in self.counters.keys(): self.counters[key] = 0 class DimerControl(MinModeControl): """A class that takes care of the parameters needed for a Dimer search. Parameters: eigenmode_method: str The name of the eigenmode search method. f_rot_min: float Size of the rotational force under which no rotation will be performed. f_rot_max: float Size of the rotational force under which only one rotation will be performed. max_num_rot: int Maximum number of rotations per optimizer step. trial_angle: float Trial angle for the finite difference estimate of the rotational angle in radians. trial_trans_step: float Trial step size for the MinModeTranslate optimizer. maximum_translation: float Maximum step size and forced step size when the curvature is still positive for the MinModeTranslate optimizer. cg_translation: bool Conjugate Gradient for the MinModeTranslate optimizer. use_central_forces: bool Only calculate the forces at one end of the dimer and extrapolate the forces to the other. dimer_separation: float Separation of the dimer's images. initial_eigenmode_method: str How to construct the initial eigenmode of the dimer. If an eigenmode is given when creating the MinModeAtoms object, this will be ignored. Possible choices are: 'gauss' and 'displacement' extrapolate_forces: bool When more than one rotation is performed, an extrapolation scheme can be used to reduce the number of force evaluations. displacement_method: str How to displace the atoms. Possible choices are 'gauss' and 'vector'. gauss_std: float The standard deviation of the gauss curve used when doing random displacement. order: int How many lowest eigenmodes will be inverted. mask: list of bool Which atoms will be moved during displacement. displacement_center: int or [float, float, float] The center of displacement, nearby atoms will be displaced. displacement_radius: float When choosing which atoms to displace with the *displacement_center* keyword, this decides how many nearby atoms to displace. number_of_displacement_atoms: int The amount of atoms near *displacement_center* to displace. """ # Default parameters for the Dimer eigenmode search parameters = {'eigenmode_method': 'dimer', 'f_rot_min': 0.1, 'f_rot_max': 1.00, 'max_num_rot': 1, 'trial_angle': pi / 4.0, 'trial_trans_step': 0.001, 'maximum_translation': 0.1, 'cg_translation': True, 'use_central_forces': True, 'dimer_separation': 0.0001, 'initial_eigenmode_method': 'gauss', 'extrapolate_forces': False, 'displacement_method': 'gauss', 'gauss_std': 0.1, 'order': 1, 'mask': None, # NB mask should not be a "parameter" 'displacement_center': None, 'displacement_radius': None, 'number_of_displacement_atoms': None} # NB: Can maybe put this in EigenmodeSearch and MinModeControl def log(self, parameter=None): """Log the parameters of the eigenmode search.""" if self.logfile is not None: if parameter is not None: l = 'DIM:CONTROL: Updated Parameter: %s = %s\n' % (parameter, str(self.get_parameter(parameter))) else: l = 'MINMODE:METHOD: Dimer\n' l += 'DIM:CONTROL: Search Parameters:\n' l += 'DIM:CONTROL: ------------------\n' for key in self.parameters: l += 'DIM:CONTROL: %s = %s\n' % (key, str(self.get_parameter(key))) l += 'DIM:CONTROL: ------------------\n' l += 'DIM:ROT: OPT-STEP ROT-STEP CURVATURE ROT-ANGLE ' + \ 'ROT-FORCE\n' self.logfile.write(l) self.logfile.flush() class MinModeAtoms: """Wrapper for Atoms with information related to minimum mode searching. Contains an Atoms object and pipes all unknown function calls to that object. Other information that is stored in this object are the estimate for the lowest eigenvalue, *curvature*, and its corresponding eigenmode, *eigenmode*. Furthermore, the original configuration of the Atoms object is stored for use in multiple minimum mode searches. The forces on the system are modified by inverting the component along the eigenmode estimate. This eventually brings the system to a saddle point. Parameters: atoms : Atoms object A regular Atoms object control : MinModeControl object Contains the parameters necessary for the eigenmode search. If no control object is supplied a default DimerControl will be created and used. mask: list of bool Determines which atoms will be moved when calling displace() random_seed: int The seed used for the random number generator. Defaults to modified version the current time. References: .. [1] Henkelman and Jonsson, JCP 111, 7010 (1999) .. [2] Olsen, Kroes, Henkelman, Arnaldsson, and Jonsson, JCP 121, 9776 (2004). .. [3] Heyden, Bell, and Keil, JCP 123, 224101 (2005). .. [4] Kastner and Sherwood, JCP 128, 014106 (2008). """ def __init__(self, atoms, control=None, eigenmodes=None, random_seed=None, **kwargs): self.minmode_init = True self.atoms = atoms # Initialize to None to avoid strange behaviour due to __getattr__ self.eigenmodes = eigenmodes self.curvatures = None if control is None: self.control = DimerControl(**kwargs) w = 'Missing control object in ' + self.__class__.__name__ + \ '. Using default: DimerControl()' warnings.warn(w, UserWarning) if self.control.logfile is not None: self.control.logfile.write('DIM:WARN: ' + w + '\n') self.control.logfile.flush() else: self.control = control logfile = self.control.get_logfile() mlogfile = self.control.get_eigenmode_logfile() for key in kwargs: if key == 'logfile': logfile = kwargs[key] elif key == 'eigenmode_logfile': mlogfile = kwargs[key] else: self.control.set_parameter(key, kwargs[key]) self.control.initialize_logfiles(logfile = logfile, eigenmode_logfile = mlogfile) # Seed the randomness if random_seed is None: t = time.time() if size > 1: t = world.sum(t) / float(size) # Harvest the latter part of the current time random_seed = int(('%30.9f' % t)[-9:]) self.random_state = np.random.RandomState(random_seed) # Check the order self.order = self.control.get_parameter('order') # Construct the curvatures list self.curvatures = [100.0] * self.order # Save the original state of the atoms. self.atoms0 = self.atoms.copy() self.save_original_forces() # Get a reference to the log files self.logfile = self.control.get_logfile() self.mlogfile = self.control.get_eigenmode_logfile() def save_original_forces(self, force_calculation=False): """Store the forces (and energy) of the original state.""" # NB: Would be nice if atoms.copy() took care of this. if self.calc is not None: # Hack because some calculators do not have calculation_required if (hasattr(self.calc, 'calculation_required') \ and not self.calc.calculation_required(self.atoms, ['energy', 'forces'])) or force_calculation: calc = SinglePointCalculator( \ self.atoms.get_potential_energy(), \ self.atoms.get_forces(), None, None, self.atoms0) self.atoms0.set_calculator(calc) def initialize_eigenmodes(self, method=None, eigenmodes=None, \ gauss_std=None): """Make an initial guess for the eigenmode.""" if eigenmodes is None: pos = self.get_positions() old_pos = self.get_original_positions() if method == None: method = \ self.control.get_parameter('initial_eigenmode_method') if method.lower() == 'displacement' and (pos - old_pos).any(): eigenmode = normalize(pos - old_pos) elif method.lower() == 'gauss': self.displace(log = False, gauss_std = gauss_std, method = method) new_pos = self.get_positions() eigenmode = normalize(new_pos - pos) self.set_positions(pos) else: e = 'initial_eigenmode must use either \'gauss\' or ' + \ '\'displacement\', if the latter is used the atoms ' + \ 'must have moved away from the original positions.' + \ 'You have requested \'%s\'.' % method raise NotImplementedError(e) # NYI eigenmodes = [eigenmode] # Create random higher order mode guesses if self.order > 1: if len(eigenmodes) == 1: for k in range(1, self.order): pos = self.get_positions() self.displace(log = False, gauss_std = gauss_std, method = method) new_pos = self.get_positions() eigenmode = normalize(new_pos - pos) self.set_positions(pos) eigenmodes += [eigenmode] self.eigenmodes = eigenmodes # Ensure that the higher order mode guesses are all orthogonal if self.order > 1: for k in range(self.order): self.ensure_eigenmode_orthogonality(k) self.eigenmode_log() # NB maybe this name might be confusing in context to # calc.calculation_required() def calculation_required(self): """Check if a calculation is required.""" return self.minmode_init or self.check_atoms != self.atoms def calculate_real_forces_and_energies(self, **kwargs): """Calculate and store the potential energy and forces.""" if self.minmode_init: self.minmode_init = False self.initialize_eigenmodes(eigenmodes = self.eigenmodes) self.rotation_required = True self.forces0 = self.atoms.get_forces(**kwargs) self.energy0 = self.atoms.get_potential_energy() self.control.increment_counter('forcecalls') self.check_atoms = self.atoms.copy() def get_potential_energy(self): """Return the potential energy.""" if self.calculation_required(): self.calculate_real_forces_and_energies() return self.energy0 def get_forces(self, real=False, pos=None, **kwargs): """Return the forces, projected or real.""" if self.calculation_required() and pos is None: self.calculate_real_forces_and_energies(**kwargs) if real and pos is None: return self.forces0 elif real and pos != None: old_pos = self.atoms.get_positions() self.atoms.set_positions(pos) forces = self.atoms.get_forces() self.control.increment_counter('forcecalls') self.atoms.set_positions(old_pos) return forces else: if self.rotation_required: self.find_eigenmodes(order = self.order) self.eigenmode_log() self.rotation_required = False self.control.increment_counter('optcount') return self.get_projected_forces() def ensure_eigenmode_orthogonality(self, order): mode = self.eigenmodes[order - 1].copy() for k in range(order - 1): mode = perpendicular_vector(mode, self.eigenmodes[k]) self.eigenmodes[order - 1] = normalize(mode) def find_eigenmodes(self, order=1): """Launch eigenmode searches.""" if self.control.get_parameter('eigenmode_method').lower() != 'dimer': e = 'Only the Dimer control object has been implemented.' raise NotImplementedError(e) # NYI for k in range(order): if k > 0: self.ensure_eigenmode_orthogonality(k + 1) search = DimerEigenmodeSearch(self, self.control, \ eigenmode = self.eigenmodes[k], basis = self.eigenmodes[:k]) search.converge_to_eigenmode() search.set_up_for_optimization_step() self.eigenmodes[k] = search.get_eigenmode() self.curvatures[k] = search.get_curvature() def get_projected_forces(self, pos=None): """Return the projected forces.""" if pos is not None: forces = self.get_forces(real = True, pos = pos).copy() else: forces = self.forces0.copy() # Loop through all the eigenmodes # NB: Can this be done with a linear combination, instead? for k, mode in enumerate(self.eigenmodes): # NYI This If statement needs to be overridable in the control if self.get_curvature(order = k) > 0.0 and self.order == 1: forces = -parallel_vector(forces, mode) else: forces -= 2 * parallel_vector(forces, mode) return forces def restore_original_positions(self): """Restore the MinModeAtoms object positions to the original state.""" self.atoms.set_positions(self.get_original_positions()) def get_barrier_energy(self): """The energy difference between the current and original states""" try: original_energy = self.get_original_potential_energy() dimer_energy = self.get_potential_energy() return dimer_energy - original_energy except RuntimeError: w = 'The potential energy is not available, without further ' + \ 'calculations, most likely at the original state.' warnings.warn(w, UserWarning) return np.nan def get_control(self): """Return the control object.""" return self.control def get_curvature(self, order='max'): """Return the eigenvalue estimate.""" if order == 'max': return max(self.curvatures) else: return self.curvatures[order - 1] def get_eigenmode(self, order=1): """Return the current eigenmode guess.""" return self.eigenmodes[order - 1] def get_atoms(self): """Return the unextended Atoms object.""" return self.atoms def set_atoms(self, atoms): """Set a new Atoms object""" self.atoms = atoms def set_eigenmode(self, eigenmode, order=1): """Set the eigenmode guess.""" self.eigenmodes[order - 1] = eigenmode def set_curvature(self, curvature, order=1): """Set the eigenvalue estimate.""" self.curvatures[order - 1] = curvature # Pipe all the stuff from Atoms that is not overwritten. # Pipe all requests for get_original_* to self.atoms0. def __getattr__(self, attr): """Return any value of the Atoms object""" if 'original' in attr.split('_'): attr = attr.replace('_original_', '_') return getattr(self.atoms0, attr) else: return getattr(self.atoms, attr) def displace(self, displacement_vector=None, mask=None, method=None, displacement_center=None, radius=None, number_of_atoms=None, gauss_std=None, mic=True, log=True): """Move the atoms away from their current position. This is one of the essential parts of minimum mode searches. The parameters can all be set in the control object and overwritten when this method is run, apart from *displacement_vector*. It is preferred to modify the control values rather than those here in order for the correct ones to show up in the log file. *method* can be either 'gauss' for random displacement or 'vector' to perform a predefined displacement. *gauss_std* is the standard deviation of the gauss curve that is used for random displacement. *displacement_center* can be either the number of an atom or a 3D position. It must be accompanied by a *radius* (all atoms within it will be displaced) or a *number_of_atoms* which decides how many of the closest atoms will be displaced. *mic* controls the usage of the Minimum Image Convention. If both *mask* and *displacement_center* are used, the atoms marked as False in the *mask* will not be affected even though they are within reach of the *displacement_center*. The parameters priority order: 1) displacement_vector 2) mask 3) displacement_center (with radius and/or number_of_atoms) If both *radius* and *number_of_atoms* are supplied with *displacement_center*, only atoms that fulfill both criteria will be displaced. """ # Fetch the default values from the control if mask is None: mask = self.control.get_parameter('mask') if method is None: method = self.control.get_parameter('displacement_method') if gauss_std is None: gauss_std = self.control.get_parameter('gauss_std') if displacement_center is None: displacement_center = \ self.control.get_parameter('displacement_center') if radius is None: radius = self.control.get_parameter('displacement_radius') if number_of_atoms is None: number_of_atoms = \ self.control.get_parameter('number_of_displacement_atoms') # Check for conflicts if displacement_vector is not None and method.lower() != 'vector': e = 'displacement_vector was supplied but a different method ' + \ '(\'%s\') was chosen.\n' % str(method) raise ValueError(e) elif displacement_vector is None and method.lower() == 'vector': e = 'A displacement_vector must be supplied when using ' + \ 'method = \'%s\'.\n' % str(method) raise ValueError(e) elif displacement_center is not None and radius is None and \ number_of_atoms is None: e = 'When displacement_center is chosen, either radius or ' + \ 'number_of_atoms must be supplied.\n' raise ValueError(e) # Set up the center of displacement mask (c_mask) if displacement_center is not None: c = displacement_center # Construct a distance list # The center is an atom if type(c) is int: # Parse negative indexes c = displacement_center % len(self) d = [(k, self.get_distance(k, c, mic = mic)) for k in \ range(len(self))] # The center is a position in 3D space elif len(c) == 3 and [type(c_k) for c_k in c] == [float]*3: # NB: MIC is not considered. d = [(k, norm(self.get_positions()[k] - c)) \ for k in range(len(self))] else: e = 'displacement_center must be either the number of an ' + \ 'atom in MinModeAtoms object or a 3D position ' + \ '(3-tuple of floats).' raise ValueError(e) # Set up the mask if radius is not None: r_mask = [dist[1] < radius for dist in d] else: r_mask = [True for _ in self] if number_of_atoms is not None: d_sorted = [n[0] for n in sorted(d, key = lambda k: k[1])] n_nearest = d_sorted[:number_of_atoms] n_mask = [k in n_nearest for k in range(len(self))] else: n_mask = [True for _ in self] # Resolve n_mask / r_mask conflicts c_mask = [n_mask[k] and r_mask[k] for k in range(len(self))] else: c_mask = None # Set up a True mask if there is no mask supplied if mask is None: mask = [True for _ in self] if c_mask is None: w = 'It was not possible to figure out which atoms to ' + \ 'displace, Will try to displace all atoms.\n' warnings.warn(w, UserWarning) if self.logfile is not None: self.logfile.write('MINMODE:WARN: ' + w + '\n') self.logfile.flush() # Resolve mask / c_mask conflicts if c_mask is not None: mask = [mask[k] and c_mask[k] for k in range(len(self))] if displacement_vector is None: displacement_vector = [] for k in range(len(self)): if mask[k]: diff_line = [] for _ in range(3): if method.lower() == 'gauss': if not gauss_std: gauss_std = \ self.control.get_parameter('gauss_std') diff = self.random_state.normal(0.0, gauss_std) else: e = 'Invalid displacement method >>%s<<' % \ str(method) raise ValueError(e) diff_line.append(diff) displacement_vector.append(diff_line) else: displacement_vector.append([0.0]*3) # Remove displacement of masked atoms for k in range(len(mask)): if not mask[k]: displacement_vector[k] = [0.0]*3 # Perform the displacement and log it if log: pos0 = self.get_positions() self.set_positions(self.get_positions() + displacement_vector) if log: parameters = {'mask': mask, 'displacement_method': method, 'gauss_std': gauss_std, 'displacement_center': displacement_center, 'displacement_radius': radius, 'number_of_displacement_atoms': number_of_atoms} self.displacement_log(self.get_positions() - pos0, parameters) def eigenmode_log(self): """Log the eigenmodes (eigenmode estimates)""" if self.mlogfile is not None: l = 'MINMODE:MODE: Optimization Step: %i\n' % \ (self.control.get_counter('optcount')) for m_num, mode in enumerate(self.eigenmodes): l += 'MINMODE:MODE: Order: %i\n' % m_num for k in range(len(mode)): l += 'MINMODE:MODE: %7i %15.8f %15.8f %15.8f\n' % (k, mode[k][0], mode[k][1], mode[k][2]) self.mlogfile.write(l) self.mlogfile.flush() def displacement_log(self, displacement_vector, parameters): """Log the displacement""" if self.logfile is not None: lp = 'MINMODE:DISP: Parameters, different from the control:\n' mod_para = False for key in parameters: if parameters[key] != self.control.get_parameter(key): lp += 'MINMODE:DISP: %s = %s\n' % (str(key), str(parameters[key])) mod_para = True if mod_para: l = lp else: l = '' for k in range(len(displacement_vector)): l += 'MINMODE:DISP: %7i %15.8f %15.8f %15.8f\n' % (k, displacement_vector[k][0], displacement_vector[k][1], displacement_vector[k][2]) self.logfile.write(l) self.logfile.flush() def summarize(self): """Summarize the Minimum mode search.""" if self.logfile is None: logfile = sys.stdout else: logfile = self.logfile c = self.control label = 'MINMODE:SUMMARY: ' l = label + '-------------------------\n' l += label + 'Barrier: %16.4f\n' % self.get_barrier_energy() l += label + 'Curvature: %14.4f\n' % self.get_curvature() l += label + 'Optimizer steps: %8i\n' % c.get_counter('optcount') l += label + 'Forcecalls: %13i\n' % c.get_counter('forcecalls') l += label + '-------------------------\n' logfile.write(l) class MinModeTranslate(Optimizer): """An Optimizer specifically tailored to minimum mode following.""" def __init__(self, atoms, logfile='-', trajectory=None): Optimizer.__init__(self, atoms, None, logfile, trajectory) self.control = atoms.get_control() # Make a header for the log if self.logfile is not None: l = '' if isinstance(self.control, DimerControl): l = 'MinModeTranslate: STEP TIME ENERGY ' + \ 'MAX-FORCE STEPSIZE CURVATURE ROT-STEPS\n' self.logfile.write(l) self.logfile.flush() # Load the relevant parameters from control self.cg_on = self.control.get_parameter('cg_translation') self.trial_step = self.control.get_parameter('trial_trans_step') self.max_step = self.control.get_parameter('maximum_translation') # Start conjugate gradient if self.cg_on: self.cg_init = True def initialize(self): """Set initial values.""" self.r0 = None self.f0 = None def run(self, fmax=0.05, steps=100000000): """Run structure optimization algorithm. This method will return when the forces on all individual atoms are less than *fmax* or when the number of steps exceeds *steps*. """ self.fmax = fmax step = 0 while step < steps: f = self.atoms.get_forces() self.call_observers() if self.converged(f): self.log(f, None) return self.step(f) self.nsteps += 1 step += 1 def step(self, f): """Perform the optimization step.""" atoms = self.atoms r = atoms.get_positions() curv = atoms.get_curvature() f0p = f.copy() r0 = r.copy() direction = f0p.copy() if self.cg_on: direction = self.get_cg_direction(direction) direction = normalize(direction) if curv > 0.0: step = direction * self.max_step else: r0t = r0 + direction * self.trial_step f0tp = self.atoms.get_projected_forces(r0t) F = np.vdot((f0tp + f0p), direction) / 2.0 C = np.vdot((f0tp - f0p), direction) / self.trial_step step = ( -F / C + self.trial_step / 2.0 ) * direction if norm(step) > self.max_step: step = direction * self.max_step self.log(f0p, norm(step)) atoms.set_positions(r + step) self.f0 = f.flat.copy() self.r0 = r.flat.copy() def get_cg_direction(self, direction): """Apply the Conjugate Gradient algorithm to the step direction.""" if self.cg_init: self.cg_init = False self.direction_old = direction.copy() self.cg_direction = direction.copy() old_norm = np.vdot(self.direction_old, self.direction_old) # Polak-Ribiere Conjugate Gradient if old_norm != 0.0: betaPR = np.vdot(direction, (direction - self.direction_old)) / \ old_norm else: betaPR = 0.0 if betaPR < 0.0: betaPR = 0.0 self.cg_direction = direction + self.cg_direction * betaPR self.direction_old = direction.copy() return self.cg_direction.copy() def log(self, f, stepsize): """Log each step of the optimization.""" if self.logfile is not None: T = time.localtime() e = self.atoms.get_potential_energy() fmax = sqrt((f**2).sum(axis = 1).max()) rotsteps = self.atoms.control.get_counter('rotcount') curvature = self.atoms.get_curvature() l = '' if stepsize: if isinstance(self.control, DimerControl): l = '%s: %4d %02d:%02d:%02d %15.6f %12.4f %12.6f ' \ '%12.6f %10d\n' % ('MinModeTranslate', self.nsteps, T[3], T[4], T[5], e, fmax, stepsize, curvature, rotsteps) else: if isinstance(self.control, DimerControl): l = '%s: %4d %02d:%02d:%02d %15.6f %12.4f %s ' \ '%12.6f %10d\n' % ('MinModeTranslate', self.nsteps, T[3], T[4], T[5], e, fmax, ' --------', curvature, rotsteps) self.logfile.write(l) self.logfile.flush() def read_eigenmode(mlog, index = -1): """Read an eigenmode. To access the pre optimization eigenmode set index = 'null'. """ if isinstance(mlog, str): f = open(mlog, 'r') else: f = mlog lines = f.readlines() # Detect the amount of atoms and iterations k = 2 while lines[k].split()[1].lower() not in ['optimization', 'order']: k += 1 n = k - 2 n_itr = (len(lines) / (n + 1)) - 2 # Locate the correct image. if type(index) == str: if index.lower() == 'null': i = 0 else: i = int(index) + 1 else: if index >= 0: i = index + 1 else: if index < -n_itr - 1: raise IndexError('list index out of range') else: i = index mode = np.ndarray(shape = (n, 3), dtype = float) k_atom = 0 for k in range(1, n + 1): line = lines[i * (n + 1) + k].split() for k_dim in range(3): mode[k_atom][k_dim] = float(line[k_dim + 2]) k_atom += 1 return mode # Aliases DimerAtoms = MinModeAtoms DimerTranslate = MinModeTranslate python-ase-3.6.0.2515/ase/utils/0000755000175400017540000000000011757245036015122 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/utils/eos.py0000644000175400017540000000475511403135522016257 0ustar askhlaskhl# -*- coding: utf-8 -*- from math import sqrt import numpy as np from ase.units import kJ class EquationOfState: """Fit equation of state for bulk systems. The following equation is used:: 2 3 -1/3 E(V) = c + c t + c t + c t , t = V 0 1 2 3 Use:: eos = EquationOfState(volumes, energies) v0, e0, B = eos.fit() eos.plot() """ def __init__(self, volumes, energies): self.v = np.array(volumes) self.e = np.array(energies) self.v0 = None def fit(self): """Calculate volume, energy, and bulk modulus. Returns the optimal volume, the minumum energy, and the bulk modulus. Notice that the ASE units for the bulk modulus is eV/Angstrom^3 - to get the value in GPa, do this:: v0, e0, B = eos.fit() print B / kJ * 1.0e24, 'GPa' """ fit0 = np.poly1d(np.polyfit(self.v**-(1.0 / 3), self.e, 3)) fit1 = np.polyder(fit0, 1) fit2 = np.polyder(fit1, 1) self.v0 = None for t in np.roots(fit1): if t > 0 and fit2(t) > 0: self.v0 = t**-3 break if self.v0 is None: raise ValueError('No minimum!') self.e0 = fit0(t) self.B = t**5 * fit2(t) / 9 self.fit0 = fit0 return self.v0, self.e0, self.B def plot(self, filename=None, show=None): """Plot fitted energy curve. Uses Matplotlib to plot the energy curve. Use *show=True* to show the figure and *filename='abc.png'* or *filename='abc.eps'* to save the figure to a file.""" #import matplotlib.pyplot as plt import pylab as plt if self.v0 is None: self.fit() if filename is None and show is None: show = True x = 3.95 f = plt.figure(figsize=(x * 2.5**0.5, x)) f.subplots_adjust(left=0.12, right=0.9, top=0.9, bottom=0.15) plt.plot(self.v, self.e, 'o') x = np.linspace(min(self.v), max(self.v), 100) plt.plot(x, self.fit0(x**-(1.0 / 3)), '-r') plt.xlabel(u'volume [Ã…^3]') plt.ylabel(u'energy [eV]') plt.title(u'E: %.3f eV, V: %.3f Ã…^3, B: %.3f GPa' % (self.e0, self.v0, self.B / kJ * 1.0e24)) if show: plt.show() if filename is not None: f.savefig(filename) return f python-ase-3.6.0.2515/ase/utils/__init__.py0000644000175400017540000001110111712736711017221 0ustar askhlaskhlimport os import sys from math import sin, cos, radians, atan2, degrees import numpy as np from ase.parallel import world class DevNull: def write(self, string): pass def flush(self): pass def seek(self, offset, whence=0): return 0 def tell(self): return 0 def close(self): pass devnull = DevNull() def opencew(filename): """Create and open filename exclusively for writing. If master cpu gets exclusive write access til filename, a file descriptor is returned (a dummy file descriptor is returned on the slaves). If the master cpu doet not get write access, None is returned on all processors.""" if world.rank == 0: try: fd = os.open(filename, os.O_CREAT | os.O_EXCL | os.O_WRONLY) except OSError: ok = 0 else: ok = 1 fd = os.fdopen(fd, 'w') else: ok = 0 fd = devnull # Syncronize: if world.sum(ok) == 0: return None else: return fd def prnt(*args, **kwargs): """Python 3 style print function.""" kwargs.pop('file', sys.stdout).write( kwargs.pop('sep', ' ').join(str(arg) for arg in args) + kwargs.pop('end', '\n')) if kwargs: raise TypeError('%r is an invalid keyword argument for this function' % kwargs.keys()[0]) def gcd(a, b): """Greatest common divisor of a and b.""" while a != 0: a, b = b % a, a return b def rotate(rotations, rotation=np.identity(3)): """Convert string of format '50x,-10y,120z' to a rotation matrix. Note that the order of rotation matters, i.e. '50x,40z' is different from '40z,50x'. """ if rotations == '': return rotation.copy() for i, a in [('xyz'.index(s[-1]), radians(float(s[:-1]))) for s in rotations.split(',')]: s = sin(a) c = cos(a) if i == 0: rotation = np.dot(rotation, [(1, 0, 0), (0, c, s), (0, -s, c)]) elif i == 1: rotation = np.dot(rotation, [(c, 0, -s), (0, 1, 0), (s, 0, c)]) else: rotation = np.dot(rotation, [(c, s, 0), (-s, c, 0), (0, 0, 1)]) return rotation def givens(a, b): """Solve the equation system:: [ c s] [a] [r] [ ] . [ ] = [ ] [-s c] [b] [0] """ sgn = lambda x: cmp(x, 0) if b == 0: c = sgn(a) s = 0 r = abs(a) elif abs(b) >= abs(a): cot = a / b u = sgn(b) * (1 + cot**2)**0.5 s = 1. / u c = s * cot r = b * u else: tan = b / a u = sgn(a) * (1 + tan**2)**0.5 c = 1. / u s = c * tan r = a * u return c, s, r def irotate(rotation, initial=np.identity(3)): """Determine x, y, z rotation angles from rotation matrix.""" a = np.dot(initial, rotation) cx, sx, rx = givens(a[2, 2], a[1, 2]) cy, sy, ry = givens(rx, a[0, 2]) cz, sz, rz = givens(cx * a[1, 1] - sx * a[2, 1], cy * a[0, 1] - sy * (sx * a[1, 1] + cx * a[2, 1])) x = degrees(atan2(sx, cx)) y = degrees(atan2(-sy, cy)) z = degrees(atan2(sz, cz)) return x, y, z def hsv2rgb(h, s, v): """http://en.wikipedia.org/wiki/HSL_and_HSV h (hue) in [0, 360[ s (saturation) in [0, 1] v (value) in [0, 1] return rgb in range [0, 1] """ if v == 0: return 0, 0, 0 if s == 0: return v, v, v i, f = divmod(h / 60., 1) p = v * (1 - s) q = v * (1 - s * f) t = v * (1 - s * (1 - f)) if i == 0: return v, t, p elif i == 1: return q, v, p elif i == 2: return p, v, t elif i == 3: return p, q, v elif i == 4: return t, p, v elif i == 5: return v, p, q else: raise RuntimeError('h must be in [0, 360]') def hsv(array, s=.9, v=.9): array = (array + array.min()) * 359. / (array.max() - array.min()) result = np.empty((len(array.flat), 3)) for rgb, h in zip(result, array.flat): rgb[:] = hsv2rgb(h, s, v) return np.reshape(result, array.shape + (3,)) ## This code does the same, but requires pylab ## def cmap(array, name='hsv'): ## import pylab ## a = (array + array.min()) / array.ptp() ## rgba = getattr(pylab.cm, name)(a) ## return rgba[:-1] # return rgb only (not alpha) python-ase-3.6.0.2515/ase/utils/molecule_test.py0000755000175400017540000002276311122747414020346 0ustar askhlaskhl#!/usr/bin/env python """This module defines extensible classes for running tests on molecules. Use this to compare different calculators, XC functionals and so on by calculating e.g. atomization energies and bond lengths across the g2 database of small molecules. """ import os import sys import traceback import numpy as np from ase import PickleTrajectory, read from ase.calculators.emt import EMT from ase.data.molecules import molecule, atoms as g2_atoms, g1 class BatchTest: """Contains logic for looping over tests and file management.""" def __init__(self, test): self.test = test self.txt = sys.stdout # ? def run_single_test(self, formula): print >> self.txt, self.test.name, formula, '...', self.txt.flush() filename = self.test.get_filename(formula) if os.path.exists(filename): print >> self.txt, 'Skipped.' return try: open(filename, 'w').close() # Empty file system, calc = self.test.setup(formula) self.test.run(formula, system, filename) print >> self.txt, 'OK!' self.txt.flush() except self.test.exceptions: print >> self.txt, 'Failed!' traceback.print_exc(file=self.txt) print >> self.txt self.txt.flush() def run(self, formulas): """Run a batch of tests. This will invoke the test method on each formula, printing status to stdout. Those formulas that already have test result files will be skipped.""" # Create directories if necessary if self.test.dir and not os.path.isdir(self.test.dir): os.mkdir(self.test.dir) # Won't work on 'dir1/dir2', but oh well for formula in formulas: self.run_single_test(formula) def collect(self, formulas, verbose=False): """Yield results of previous calculations.""" for formula in formulas: try: filename = self.test.get_filename(formula) results = self.test.retrieve(formula, filename) if verbose: print >> self.txt, 'Loaded:', formula, filename yield formula, results except (IOError, RuntimeError, TypeError): # XXX which errors should we actually catch? if verbose: print >> self.txt, 'Error:', formula, '[%s]' % filename traceback.print_exc(file=self.txt) class MoleculeTest: """Generic class for runnings various tests on the g2 dataset. Usage: instantiate MoleculeTest with desired test settings and invoke its run() method on the desired formulas. This class will use the ASE EMT calculator by default. You can create a subclass using an arbitrary calculator by overriding the setup_calculator method. Most methods can be overridden to provide highly customized behaviour. """ def __init__(self, name, vacuum=6.0, exceptions=None): """Create a molecule test. The name parameter will be part of all output files generated by this molecule test. If name contains a '/' character, the preceding part will be interpreted as a directory in which to put files. The vacuum parameter is used to set the cell size. A tuple of exception types can be provided which will be caught during a batch of calculations. Types not specified will be considered fatal.""" dir, path = os.path.split(name) self.dir = dir self.name = name self.vacuum = vacuum if exceptions is None: exceptions = () self.exceptions = exceptions def setup_calculator(self, system, formula): """Create a new calculator. Default is an EMT calculator. Most implementations will want to override this method.""" raise NotImplementedError def setup_system(self, formula): """Create an Atoms object from the given formula. By default this will be loaded from the g2 database, setting the cell size by means of the molecule test's vacuum parameter.""" system = molecule(formula) system.center(vacuum=self.vacuum) return system def setup(self, formula): """Build calculator and atoms objects. This will invoke the setup_calculator and setup_system methods.""" system = self.setup_system(formula) calc = self.setup_calculator(system, formula) system.set_calculator(calc) return system, calc def get_filename(self, formula, extension='traj'): """Returns the filename for a test result file. Default format is ..traj The test may write other files, but this filename is used as a flag denoting whether the calculation has been done already.""" return '.'.join([self.name, formula, extension]) def run(self, formula, system, filename): raise NotImplementedError def retrieve(self, formula, filename): """Retrieve results of previous calculation from file. Default implementation returns the total energy. This method should be overridden whenever the test method is overridden to calculate something else than the total energy.""" raise NotImplementedError class EnergyTest: def run(self, formula, system, filename): """Calculate energy of specified system and save to file.""" system.get_potential_energy() # Won't create .bak file: traj = PickleTrajectory(open(filename, 'w'), 'w') traj.write(system) traj.close() def retrieve(self, formula, filename): system = read(filename) energy = system.get_potential_energy() return energy def calculate_atomization_energies(self, molecular_energies, atomic_energies): atomic_energy_dict = dict(atomic_energies) for formula, molecular_energy in molecular_energies: try: system = molecule(formula) atomic = [atomic_energy_dict[s] for s in system.get_chemical_symbols()] atomization_energy = molecular_energy - sum(atomic) yield formula, atomization_energy except KeyError: pass class BondLengthTest: def run(self, formula, system, filename): """Calculate bond length of a dimer. This will calculate total energies for varying atomic separations close to the g2 bond length, allowing determination of bond length by fitting. """ if len(system) != 2: raise ValueError('Not a dimer') traj = PickleTrajectory(open(filename, 'w'), 'w') pos = system.positions d = np.linalg.norm(pos[1] - pos[0]) for x in range(-2, 3): system.set_distance(0, 1, d * (1.0 + x * 0.02)) traj.write(system) traj.close() def retrieve(self, formula, filename): traj = PickleTrajectory(filename, 'r') distances = np.array([np.linalg.norm(a.positions[1] - a.positions[0]) for a in traj]) energies = np.array([a.get_potential_energy() for a in traj]) polynomial = np.polyfit(distances, energies, 2) # or maybe 3rd order? # With 3rd order it is not always obvious which root is right pderiv = np.polyder(polynomial, 1) d0 = np.roots(pderiv) e0 = np.polyval(energies, d0) return distances, energies, d0, e0, polynomial class EMTTest(MoleculeTest): def setup_calculator(self, system, calculator): return EMT() class EMTEnergyTest(EnergyTest, EMTTest): pass class EMTBondLengthTest(BondLengthTest, EMTTest): pass def main(): supported_elements = 'Ni, C, Pt, Ag, H, Al, O, N, Au, Pd, Cu'.split(', ') formulas = [formula for formula in g1 if np.all([symbol in supported_elements for symbol in molecule(formula).get_chemical_symbols()])] atoms = [symbol for symbol in g2_atoms if symbol in supported_elements] dimers = [formula for formula in formulas if len(molecule(formula)) == 2] name1 = 'testfiles/energy' name2 = 'testfiles/bond' test1 = BatchTest(EMTEnergyTest(name1, vacuum=3.0)) test2 = BatchTest(EMTBondLengthTest(name2, vacuum=3.0)) print 'Energy test' print '-----------' test1.run(formulas + atoms) print print 'Bond length test' print '----------------' test2.run(dimers) print print 'Atomization energies' print '--------------------' atomic_energies = dict(test1.collect(atoms)) molecular_energies = dict(test1.collect(formulas)) atomization_energies = {} for formula, energy in molecular_energies.iteritems(): system = molecule(formula) atomic = [atomic_energies[s] for s in system.get_chemical_symbols()] atomization_energy = energy - sum(atomic) atomization_energies[formula] = atomization_energy print formula.rjust(10), '%.02f' % atomization_energy print print 'Bond lengths' print '------------' for formula, (d_i, e_i, d0, e0, poly) in test2.collect(dimers): system = molecule(formula) bref = np.linalg.norm(system.positions[1] - system.positions[0]) print formula.rjust(10), '%6.3f' % d0, ' g2ref =', '%2.3f' % bref if __name__ == '__main__': main() python-ase-3.6.0.2515/ase/utils/bee.py0000644000175400017540000000255711267454627016244 0ustar askhlaskhlimport numpy as np # NB! This module was ported from a 4 year old CamposASE2 module. """Bayesian Error Estimation For details, see: "Bayesian Error Estimation in Density Functional Theory", J. J. Mortensen, K. Kaasbjerg, S. L. Frederiksen, J. K. Norskov, J. P. Sethna, K. W. Jacobsen, Phys. Rev. Lett. 95, 216401 (2005).""" # T # cost(c) = cost0 + 0.5 * (c - c0) H (c - c0) # # Cost function minimum value: cost0 = 3.4660625596 # Best fit parameters: c0 = np.array([1.000787451, 0.1926284063, 1.896191546]) # Hessian: # H = np.array([[ 1.770035168e+03, -3.732470432e+02, -2.105836167e+02], # [-3.732470432e+02, 1.188857209e+02, 6.054102443e+01], # [-2.105836167e+02, 6.054102443e+01, 3.211200293e+01]]) # # 0.5 * np * T = cost0 (np=3: number of parameters) T = cost0 * 2 / 3 def make_ensemble(N=1000, seed=None): np.random.seed(seed) # None means /dev/urandom seed M = np.array([(0.066, -0.812, 1.996), (0.055, 0.206, 0.082), (-0.034, 0.007, 0.004)]) alpha = np.random.normal(0.0, 1.0, (N, 3)) return c0 + np.dot(alpha, M) c = make_ensemble() def get_ensemble_energies(atoms, c=c): if hasattr(atoms, 'get_calculator'): coefs = atoms.get_calculator().get_ensemble_coefficients() else: coefs = atoms return coefs[0] + np.dot(c, coefs[1:]) python-ase-3.6.0.2515/ase/utils/adsorb.py0000644000175400017540000001436211652200253016736 0ustar askhlaskhl#!/usr/bin/env python # Copyright 2010 CAMd # (see accompanying license files for details). from optparse import OptionParser import numpy as np from ase.lattice.surface import fcc111, hcp0001, bcc110, diamond111, \ add_adsorbate from ase.structure import estimate_lattice_constant from ase.data import reference_states, atomic_numbers, covalent_radii from ase.io import write from ase.visualize import view from ase.atoms import Atoms, string2symbols from ase.data.molecules import molecule def build(): p = OptionParser(usage='%prog [options] [ads@]surf [output file]', version='%prog 0.1', description='Example ads/surf: fcc-CO@2x2Ru0001') p.add_option('-l', '--layers', type='int', default=4, help='Number of layers.') p.add_option('-v', '--vacuum', type='float', default=5.0, help='Vacuum.') p.add_option('-x', '--crystal-structure', help='Crystal structure.', choices=['sc', 'fcc', 'bcc', 'hcp']) p.add_option('-a', '--lattice-constant', type='float', help='Lattice constant in Angstrom.') p.add_option('--c-over-a', type='float', help='c/a ratio.') p.add_option('--height', type='float', help='Height of adsorbate over surface.') p.add_option('--distance', type='float', help='Distance between adsorbate and nearest surface atoms.') p.add_option('-M', '--magnetic-moment', type='float', default=0.0, help='Magnetic moment.') p.add_option('-G', '--gui', action='store_true', help="Pop up ASE's GUI.") p.add_option('-P', '--python', action='store_true', help="Write Python script.") opt, args = p.parse_args() if not 1 <= len(args) <= 2: p.error("incorrect number of arguments") if '@' in args[0]: ads, surf = args[0].split('@') else: ads = None surf = args[0] if surf[0].isdigit(): i1 = surf.index('x') n = int(surf[:i1]) i2 = i1 + 1 while surf[i2].isdigit(): i2 += 1 m = int(surf[i1 + 1:i2]) surf = surf[i2:] else: n = 1 m = 1 if surf[-1].isdigit(): if surf[1].isdigit(): face = surf[1:] surf = surf[0] else: face = surf[2:] surf = surf[:2] else: face = None Z = atomic_numbers[surf] state = reference_states[Z] if opt.crystal_structure: x = opt.crystal_structure else: x = state['symmetry'] if opt.lattice_constant: a = opt.lattice_constant else: a = estimate_lattice_constant(surf, x, opt.c_over_a) script = ['from ase.lattice.surface import ', 'vac = %r' % opt.vacuum, 'a = %r' % a] if x == 'fcc': if face is None: face = '111' slab = fcc111(surf, (n, m, opt.layers), a, opt.vacuum) script[0] += 'fcc111' script += ['slab = fcc111(%r, (%d, %d, %d), a, vac)' % (surf, n, m, opt.layers)] r = a / np.sqrt(2) / 2 elif x == 'bcc': if face is None: face = '110' slab = bcc110(surf, (n, m, opt.layers), a, opt.vacuum) script[0] += 'bcc110' script += ['slab = bcc110(%r, (%d, %d, %d), a, vac)' % (surf, n, m, opt.layers)] r = a * np.sqrt(3) / 4 elif x == 'hcp': if face is None: face = '0001' if opt.c_over_a is None: c = np.sqrt(8 / 3.0) * a else: c = opt.c_over_a * a slab = hcp0001(surf, (n, m, opt.layers), a, c, opt.vacuum) script[0] += 'hcp0001' script += ['c = %r * a' % (c / a), 'slab = hcp0001(%r, (%d, %d, %d), a, c, vac)' % (surf, n, m, opt.layers)] r = a / 2 elif x == 'diamond': if face is None: face = '111' slab = diamond111(surf, (n, m, opt.layers), a, opt.vacuum) script[0] += 'diamond111' script += ['slab = diamond111(%r, (%d, %d, %d), a, vac)' % (surf, n, m, opt.layers)] r = a * np.sqrt(3) / 8 else: raise NotImplementedError magmom = opt.magnetic_moment if magmom is None: magmom = {'Ni': 0.6, 'Co': 1.2, 'Fe': 2.3}.get(surf, 0.0) slab.set_initial_magnetic_moments([magmom] * len(slab)) if magmom != 0: script += ['slab.set_initial_magnetic_moments([%r] * len(slab))' % magmom] slab.pbc = 1 script += ['slab.pbc = True'] name = '%dx%d%s%s' % (n, m, surf, face) if ads: site = 'ontop' if '-' in ads: site, ads = ads.split('-') name = site + '-' + ads + '@' + name symbols = string2symbols(ads) nads = len(symbols) if nads == 1: script[:0] = ['from ase import Atoms'] script += ['ads = Atoms(%r)' % ads] ads = Atoms(ads) else: script[:0] = ['from ase.data.molecules import molecule'] script += ['ads = molecule(%r)' % ads] ads = molecule(ads) add_adsorbate(slab, ads, 0.0, site) d = opt.distance if d is None: d = r + covalent_radii[ads[0].number] / 2 h = opt.height if h is None: R = slab.positions y = ((R[:-nads] - R[-nads])**2).sum(1).min()**0.5 h = (d**2 - y**2)**0.5 else: assert opt.distance is None slab.positions[-nads:, 2] += h script[1] += ', add_adsorbate' script += ['add_adsorbate(slab, ads, %r, %r)' % (h, site)] if len(args) == 2: write(args[1], slab) script[1:1] = ['from ase.io import write'] script += ['write(%r, slab)' % args[1]] elif not opt.gui: write(name + '.traj', slab) script[1:1] = ['from ase.io import write'] script += ['write(%r, slab)' % (name + '.traj')] if opt.gui: view(slab) script[1:1] = ['from ase.visualize import view'] script += ['view(slab)'] if opt.python: print('\n'.join(script)) if __name__ == '__main__': build() python-ase-3.6.0.2515/ase/utils/geometry.py0000644000175400017540000004011611632077176017331 0ustar askhlaskhl# Copyright (C) 2010, Jesper Friis # (see accompanying license files for details). """Utility tools for convenient creation of slabs and interfaces of different orientations.""" import numpy as np def get_layers(atoms, miller, tolerance=0.001): """Returns two arrays describing which layer each atom belongs to and the distance between the layers and origo. Parameters: miller: 3 integers The Miller indices of the planes. Actually, any direction in reciprocal space works, so if a and b are two float vectors spanning an atomic plane, you can get all layers parallel to this with miller=np.cross(a,b). tolerance: float The maximum distance in Angstrom along the plane normal for counting two atoms as belonging to the same plane. Returns: tags: array of integres Array of layer indices for each atom. levels: array of floats Array of distances in Angstrom from each layer to origo. Example: >>> import numpy as np >>> from ase.lattice.spacegroup import crystal >>> atoms = crystal('Al', [(0,0,0)], spacegroup=225, cellpar=4.05) >>> np.round(atoms.positions, decimals=5) array([[ 0. , 0. , 0. ], [ 0. , 2.025, 2.025], [ 2.025, 0. , 2.025], [ 2.025, 2.025, 0. ]]) >>> get_layers(atoms, (0,0,1)) (array([0, 1, 1, 0]), array([ 0. , 2.025])) """ miller = np.asarray(miller) metric = np.dot(atoms.cell, atoms.cell.T) c = np.linalg.solve(metric.T, miller.T).T miller_norm = np.sqrt(np.dot(c, miller)) d = np.dot(atoms.get_scaled_positions(), miller)/miller_norm keys = np.argsort(d) ikeys = np.argsort(keys) mask = np.concatenate(([True], np.diff(d[keys]) > tolerance)) tags = np.cumsum(mask)[ikeys] if tags.min() == 1: tags -= 1 levels = d[keys][mask] return tags, levels def cut(atoms, a=(1, 0, 0), b=(0, 1, 0), c=None, clength=None, origo=(0, 0, 0), nlayers=None, extend=1.0, tolerance=0.01, maxatoms=None): """Cuts out a cell defined by *a*, *b*, *c* and *origo* from a sufficiently repeated copy of *atoms*. Typically, this function is used to create slabs of different sizes and orientations. The vectors *a*, *b* and *c* are in scaled coordinates and defines the returned cell and should normally be integer-valued in order to end up with a periodic structure. However, for systems with sub-translations, like fcc, integer multiples of 1/2 or 1/3 might also make sence for some directions (and will be treated correctly). Parameters: atoms: Atoms instance This should correspond to a repeatable unit cell. a: int | 3 floats The a-vector in scaled coordinates of the cell to cut out. If integer, the a-vector will be the scaled vector from *origo* to the atom with index *a*. b: int | 3 floats The b-vector in scaled coordinates of the cell to cut out. If integer, the b-vector will be the scaled vector from *origo* to the atom with index *b*. c: None | int | 3 floats The c-vector in scaled coordinates of the cell to cut out. if integer, the c-vector will be the scaled vector from *origo* to the atom with index *c*. If *None* it will be along cross(a, b) converted to real space and normalised with the cube root of the volume. Note that this in general is not perpendicular to a and b for non-cubic systems. For cubic systems however, this is redused to c = cross(a, b). clength: None | float If not None, the length of the c-vector will be fixed to *clength* Angstroms. Should not be used together with *nlayers*. origo: int | 3 floats Position of origo of the new cell in scaled coordinates. If integer, the position of the atom with index *origo* is used. nlayers: None | int If *nlayers* is not *None*, the returned cell will have *nlayers* atomic layers in the c-direction. extend: 1 or 3 floats The *extend* argument scales the effective cell in which atoms will be included. It must either be three floats or a single float scaling all 3 directions. By setting to a value just above one, e.g. 1.05, it is possible to all the corner and edge atoms in the returned cell. This will of cause make the returned cell non-repeatable, but is very usefull for visualisation. tolerance: float Determines what is defined as a plane. All atoms within *tolerance* Angstroms from a given plane will be considered to belong to that plane. maxatoms: None | int This option is used to auto-tune *tolerance* when *nlayers* is given for high zone axis systems. For high zone axis one needs to reduce *tolerance* in order to distinguise the atomic planes, resulting in the more atoms will be added and eventually MemoryError. A too small *tolerance*, on the other hand, might result in inproper splitting of atomic planes and that too few layers are returned. If *maxatoms* is not None, *tolerance* will automatically be gradually reduced until *nlayers* atomic layers is obtained, when the number of atoms exceeds *maxatoms*. Example: >>> import ase >>> from ase.lattice.spacegroup import crystal >>> # Create an aluminium (111) slab with three layers # # First an unit cell of Al >>> a = 4.05 >>> aluminium = crystal('Al', [(0,0,0)], spacegroup=225, ... cellpar=[a, a, a, 90, 90, 90]) >>> # Then cut out the slab >>> al111 = cut(aluminium, (1,-1,0), (0,1,-1), nlayers=3) >>> # Visualisation of the skutterudite unit cell # # Again, create a skutterudite unit cell >>> a = 9.04 >>> skutterudite = crystal( ... ('Co', 'Sb'), ... basis=[(0.25,0.25,0.25), (0.0, 0.335, 0.158)], ... spacegroup=204, ... cellpar=[a, a, a, 90, 90, 90]) >>> # Then use *origo* to put 'Co' at the corners and *extend* to # include all corner and edge atoms. >>> s = cut(skutterudite, origo=(0.25, 0.25, 0.25), extend=1.01) >>> ase.view(s) # doctest: +SKIP """ atoms = atoms.copy() cell = atoms.cell if isinstance(origo, int): origo = atoms.get_scaled_positions()[origo] origo = np.array(origo, dtype=float) scaled = (atoms.get_scaled_positions() - origo)%1.0 scaled %= 1.0 # needed to ensure that all numbers are *less* than one atoms.set_scaled_positions(scaled) if isinstance(a, int): a = scaled[a] - origo if isinstance(b, int): b = scaled[b] - origo if isinstance(c, int): c = scaled[c] - origo a = np.array(a, dtype=float) b = np.array(b, dtype=float) if c is None: metric = np.dot(cell, cell.T) vol = np.sqrt(np.linalg.det(metric)) h = np.cross(a, b) H = np.linalg.solve(metric.T, h.T) c = vol*H/vol**(1./3.) c = np.array(c, dtype=float) if nlayers: # Recursive increase the length of c until we have at least # *nlayers* atomic layers parallell to the a-b plane while True: at = cut(atoms, a, b, c, origo=origo, extend=extend, tolerance=tolerance) scaled = at.get_scaled_positions() d = scaled[:,2] keys = np.argsort(d) ikeys = np.argsort(keys) tol = tolerance while True: mask = np.concatenate(([True], np.diff(d[keys]) > tol)) tags = np.cumsum(mask)[ikeys] - 1 levels = d[keys][mask] if (maxatoms is None or len(at) < maxatoms or len(levels) > nlayers): break tol *= 0.9 if len(levels) > nlayers: break c *= 2 at.cell[2] *= levels[nlayers] return at[tags < nlayers] newcell = np.dot(np.array([a, b, c]), cell) if nlayers is None and clength is not None: newcell[2,:] *= clength/np.linalg.norm(newcell[2]) # Create a new atoms object, repeated and translated such that # it completely covers the new cell scorners_newcell = np.array([[0., 0., 0.], [0., 0., 1.], [0., 1., 0.], [0., 1., 1.], [1., 0., 0.], [1., 0., 1.], [1., 1., 0.], [1., 1., 1.]]) corners = np.dot(scorners_newcell, newcell*extend) scorners = np.linalg.solve(cell.T, corners.T).T rep = np.ceil(scorners.ptp(axis=0)).astype('int') + 1 trans = np.dot(np.floor(scorners.min(axis=0)), cell) atoms = atoms.repeat(rep) atoms.translate(trans) atoms.set_cell(newcell) # Mask out atoms outside new cell stol = 0.1*tolerance # scaled tolerance, XXX maskcell = atoms.cell*extend sp = np.linalg.solve(maskcell.T, (atoms.positions).T).T mask = np.all(np.logical_and(-stol <= sp, sp < 1-stol), axis=1) atoms = atoms[mask] return atoms class IncompatibleCellError(ValueError): """Exception raised if stacking fails due to incompatible cells between *atoms1* and *atoms2*.""" pass def stack(atoms1, atoms2, axis=2, cell=None, fix=0.5, maxstrain=0.5, distance=None, reorder=False): """Return a new Atoms instance with *atoms2* stacked on top of *atoms1* along the given axis. Periodicity in all directions is ensured. The size of the final cell is determined by *cell*, except that the length alongh *axis* will be the sum of *atoms1.cell[axis]* and *atoms2.cell[axis]*. If *cell* is None, it will be interpolated between *atoms1* and *atoms2*, where *fix* determines their relative weight. Hence, if *fix* equals zero, the final cell will be determined purely from *atoms1* and if *fix* equals one, it will be determined purely from *atoms2*. An ase.geometry.IncompatibleCellError exception is raised if the cells of *atoms1* and *atoms2* are incopatible, e.g. if the far corner of the unit cell of either *atoms1* or *atoms2* is displaced more than *maxstrain*. Setting *maxstrain* to None, disable this check. If *distance* is not None, the size of the final cell, along the direction perpendicular to the interface, will be adjusted such that the distance between the closest atoms in *atoms1* and *atoms2* will be equal to *distance*. This option uses scipy.optimize.fmin() and hence require scipy to be installed. If *reorder* is True, then the atoms will be reordred such that all atoms with the same symbol will follow sequensially after each other, eg: 'Al2MnAl10Fe' -> 'Al12FeMn'. Example: >>> import ase >>> from ase.lattice.spacegroup import crystal >>> # Create an Ag(110)-Si(110) interface with three atomic layers # on each side. >>> a_ag = 4.09 >>> ag = crystal(['Ag'], basis=[(0,0,0)], spacegroup=225, ... cellpar=[a_ag, a_ag, a_ag, 90., 90., 90.]) >>> ag110 = cut(ag, (0, 0, 3), (-1.5, 1.5, 0), nlayers=3) >>> >>> a_si = 5.43 >>> si = crystal(['Si'], basis=[(0,0,0)], spacegroup=227, ... cellpar=[a_si, a_si, a_si, 90., 90., 90.]) >>> si110 = cut(si, (0, 0, 2), (-1, 1, 0), nlayers=3) >>> >>> interface = stack(ag110, si110, maxstrain=1) >>> ase.view(interface) # doctest: +SKIP >>> # Once more, this time adjusted such that the distance between # the closest Ag and Si atoms will be 2.3 Angstrom (requires scipy). >>> interface2 = stack(ag110, si110, ... maxstrain=1, distance=2.3) # doctest:+ELLIPSIS Optimization terminated successfully. ... >>> ase.view(interface2) # doctest: +SKIP """ atoms1 = atoms1.copy() atoms2 = atoms2.copy() if (np.sign(np.linalg.det(atoms1.cell)) != np.sign(np.linalg.det(atoms2.cell))): raise IncompatibleCellError('*atoms1* amd *atoms2* must both either ' 'have a lefthanded or a righanded cell.') c1 = np.linalg.norm(atoms1.cell[axis]) c2 = np.linalg.norm(atoms2.cell[axis]) if cell is None: cell1 = atoms1.cell.copy() cell2 = atoms2.cell.copy() cell1[axis] /= c1 cell2[axis] /= c2 cell = cell1 + fix*(cell2 - cell1) cell[axis] /= np.linalg.norm(cell[axis]) cell1 = cell.copy() cell2 = cell.copy() cell1[axis] *= c1 cell2[axis] *= c2 if maxstrain: strain1 = np.sqrt(((cell1 - atoms1.cell).sum(axis=0)**2).sum()) strain2 = np.sqrt(((cell2 - atoms2.cell).sum(axis=0)**2).sum()) if strain1 > maxstrain or strain2 > maxstrain: raise IncompatibleCellError( '*maxstrain* exceeded. *atoms1* strained %f and ' '*atoms2* strained %f.'%(strain1, strain2)) atoms1.set_cell(cell1, scale_atoms=True) atoms2.set_cell(cell2, scale_atoms=True) if distance is not None: from scipy.optimize import fmin def mindist(pos1, pos2): n1 = len(pos1) n2 = len(pos2) idx1 = np.arange(n1).repeat(n2) idx2 = np.tile(np.arange(n2), n1) return np.sqrt(((pos1[idx1] - pos2[idx2])**2).sum(axis=1).min()) def func(x): t1, t2, h1, h2 = x[0:3], x[3:6], x[6], x[7] pos1 = atoms1.positions + t1 pos2 = atoms2.positions + t2 d1 = mindist(pos1, pos2 + (h1 + 1.0)*atoms1.cell[axis]) d2 = mindist(pos2, pos1 + (h2 + 1.0)*atoms2.cell[axis]) return (d1 - distance)**2 + (d2 - distance)**2 atoms1.center() atoms2.center() x0 = np.zeros((8,)) x = fmin(func, x0) t1, t2, h1, h2 = x[0:3], x[3:6], x[6], x[7] atoms1.translate(t1) atoms2.translate(t2) atoms1.cell[axis] *= 1.0 + h1 atoms2.cell[axis] *= 1.0 + h2 atoms2.translate(atoms1.cell[axis]) atoms1.cell[axis] += atoms2.cell[axis] atoms1.extend(atoms2) if reorder: atoms1 = sort(atoms1) return atoms1 def sort(atoms, tags=None): """Return a new Atoms object with sorted atomic order. The default is to order according to chemical symbols, but if *tags* is not None, it will be used instead. A stable sorting algorithm is used. Example: >>> import ase >>> from ase.lattice.spacegroup import crystal >>> # Two unit cells of NaCl >>> a = 5.64 >>> nacl = crystal(['Na', 'Cl'], [(0, 0, 0), (0.5, 0.5, 0.5)], ... spacegroup=225, cellpar=[a, a, a, 90, 90, 90]).repeat((2, 1, 1)) >>> nacl.get_chemical_symbols() ['Na', 'Na', 'Na', 'Na', 'Cl', 'Cl', 'Cl', 'Cl', 'Na', 'Na', 'Na', 'Na', 'Cl', 'Cl', 'Cl', 'Cl'] >>> nacl_sorted = sort(nacl) >>> nacl_sorted.get_chemical_symbols() ['Cl', 'Cl', 'Cl', 'Cl', 'Cl', 'Cl', 'Cl', 'Cl', 'Na', 'Na', 'Na', 'Na', 'Na', 'Na', 'Na', 'Na'] >>> np.all(nacl_sorted.cell == nacl.cell) True """ if tags is None: tags = atoms.get_chemical_symbols() else: tags = list(tags) deco = [(tag, i) for i, tag in enumerate(tags)] deco.sort() indices = [i for tag, i in deco] return atoms[indices] def rotate(atoms, a1, a2, b1, b2, rotate_cell=True): """Rotate *atoms*, such that *a1* will be rotated to *a2* and *b1* to *b2*.""" from numpy.linalg import norm, det a1 = np.asarray(a1, dtype=float)/norm(a1) a2 = np.asarray(a2, dtype=float)/norm(a2) b1 = np.asarray(b1, dtype=float)/norm(b1) b2 = np.asarray(b2, dtype=float)/norm(b2) if norm(a2 - a1) < 1e-5: n = 0.5*(a1 + a2) a1, a2 = b1, b2 elif norm(b2 - b1) < 1e-5: n = 0.5*(b1 + b2) else: n = np.cross(a2 - a1, b2 - b1) n /= norm(n) ap1 = a1 - np.dot(a1, n)*n ap2 = a2 - np.dot(a2, n)*n angle = np.arccos(np.dot(ap1, ap2)/(norm(ap1)*norm(ap2))) angle *= np.sign(det((ap1, ap2, n))) atoms.rotate(n, angle, rotate_cell=rotate_cell) #----------------------------------------------------------------- # Self test if __name__ == '__main__': import doctest print 'doctest: ', doctest.testmod() python-ase-3.6.0.2515/ase/utils/linesearch.py0000644000175400017540000003372411401652206017605 0ustar askhlaskhlimport numpy as np import __builtin__ pymin = __builtin__.min pymax = __builtin__.max class LineSearch: def __init__(self, xtol=1e-14): self.xtol = xtol self.task = 'START' self.isave = np.zeros((2,), np.intc) self.dsave = np.zeros((13,), float) self.fc = 0 self.gc = 0 self.case = 0 self.old_stp = 0 def _line_search(self, func, myfprime, xk, pk, gfk, old_fval, old_old_fval, maxstep=.2, c1=.23, c2=0.46, xtrapl=1.1, xtrapu=4., stpmax=50., stpmin=1e-8, args=()): self.stpmin = stpmin self.pk = pk p_size = np.sqrt((pk **2).sum()) self.stpmax = stpmax self.xtrapl = xtrapl self.xtrapu = xtrapu self.maxstep = maxstep phi0 = old_fval derphi0 = np.dot(gfk,pk) self.dim = len(pk) self.gms = np.sqrt(self.dim) * maxstep #alpha1 = pymin(maxstep,1.01*2*(phi0-old_old_fval)/derphi0) alpha1 = 1. self.no_update = False if isinstance(myfprime,type(())): eps = myfprime[1] fprime = myfprime[0] newargs = (f,eps) + args gradient = False else: fprime = myfprime newargs = args gradient = True fval = old_fval gval = gfk self.steps=[] while 1: stp = self.step(alpha1, phi0, derphi0, c1, c2, self.xtol, self.isave, self.dsave) if self.task[:2] == 'FG': alpha1 = stp fval = func(xk + stp * pk, *args) self.fc += 1 gval = fprime(xk + stp * pk, *newargs) if gradient: self.gc += 1 else: self.fc += len(xk) + 1 phi0 = fval derphi0 = np.dot(gval,pk) self.old_stp = alpha1 if self.no_update == True: break else: break if self.task[:5] == 'ERROR' or self.task[1:4] == 'WARN': stp = None # failed return stp, fval, old_fval, self.no_update def step(self, stp, f, g, c1, c2, xtol, isave, dsave): if self.task[:5] == 'START': # Check the input arguments for errors. if stp < self.stpmin: self.task = 'ERROR: STP .LT. minstep' if stp > self.stpmax: self.task = 'ERROR: STP .GT. maxstep' if g >= 0: self.task = 'ERROR: INITIAL G >= 0' if c1 < 0: self.task = 'ERROR: c1 .LT. 0' if c2 < 0: self.task = 'ERROR: c2 .LT. 0' if xtol < 0: self.task = 'ERROR: XTOL .LT. 0' if self.stpmin < 0: self.task = 'ERROR: minstep .LT. 0' if self.stpmax < self.stpmin: self.task = 'ERROR: maxstep .LT. minstep' if self.task[:5] == 'ERROR': return stp # Initialize local variables. self.bracket = False stage = 1 finit = f ginit = g gtest = c1 * ginit width = self.stpmax - self.stpmin width1 = width / .5 # The variables stx, fx, gx contain the values of the step, # function, and derivative at the best step. # The variables sty, fy, gy contain the values of the step, # function, and derivative at sty. # The variables stp, f, g contain the values of the step, # function, and derivative at stp. stx = 0 fx = finit gx = ginit sty = 0 fy = finit gy = ginit stmin = 0 stmax = stp + self.xtrapu * stp self.task = 'FG' self.save((stage, ginit, gtest, gx, gy, finit, fx, fy, stx, sty, stmin, stmax, width, width1)) stp = self.determine_step(stp) #return stp, f, g return stp else: if self.isave[0] == 1: self.bracket = True else: self.bracket = False stage = self.isave[1] (ginit, gtest, gx, gy, finit, fx, fy, stx, sty, stmin, stmax, \ width, width1) =self.dsave # If psi(stp) <= 0 and f'(stp) >= 0 for some step, then the # algorithm enters the second stage. ftest = finit + stp * gtest if stage == 1 and f < ftest and g >= 0.: stage = 2 # Test for warnings. if self.bracket and (stp <= stmin or stp >= stmax): self.task = 'WARNING: ROUNDING ERRORS PREVENT PROGRESS' if self.bracket and stmax - stmin <= self.xtol * stmax: self.task = 'WARNING: XTOL TEST SATISFIED' if stp == self.stpmax and f <= ftest and g <= gtest: self.task = 'WARNING: STP = maxstep' if stp == self.stpmin and (f > ftest or g >= gtest): self.task = 'WARNING: STP = minstep' # Test for convergence. if f <= ftest and abs(g) <= c2 * (- ginit): self.task = 'CONVERGENCE' # Test for termination. if self.task[:4] == 'WARN' or self.task[:4] == 'CONV': self.save((stage, ginit, gtest, gx, gy, finit, fx, fy, stx, sty, stmin, stmax, width, width1)) #return stp, f, g return stp # A modified function is used to predict the step during the # first stage if a lower function value has been obtained but # the decrease is not sufficient. #if stage == 1 and f <= fx and f > ftest: # # Define the modified function and derivative values. # fm =f - stp * gtest # fxm = fx - stx * gtest # fym = fy - sty * gtest # gm = g - gtest # gxm = gx - gtest # gym = gy - gtest # Call step to update stx, sty, and to compute the new step. # stx, sty, stp, gxm, fxm, gym, fym = self.update (stx, fxm, gxm, sty, # fym, gym, stp, fm, gm, # stmin, stmax) # # Reset the function and derivative values for f. # fx = fxm + stx * gtest # fy = fym + sty * gtest # gx = gxm + gtest # gy = gym + gtest #else: # Call step to update stx, sty, and to compute the new step. stx, sty, stp, gx, fx, gy, fy= self.update(stx, fx, gx, sty, fy, gy, stp, f, g, stmin, stmax) # Decide if a bisection step is needed. if self.bracket: if abs(sty-stx) >= .66 * width1: stp = stx + .5 * (sty - stx) width1 = width width = abs(sty - stx) # Set the minimum and maximum steps allowed for stp. if self.bracket: stmin = min(stx, sty) stmax = max(stx, sty) else: stmin = stp + self.xtrapl * (stp - stx) stmax = stp + self.xtrapu * (stp - stx) # Force the step to be within the bounds maxstep and minstep. stp = max(stp, self.stpmin) stp = min(stp, self.stpmax) if (stx == stp and stp == self.stpmax and stmin > self.stpmax): self.no_update = True # If further progress is not possible, let stp be the best # point obtained during the search. if (self.bracket and stp < stmin or stp >= stmax) \ or (self.bracket and stmax - stmin < self.xtol * stmax): stp = stx # Obtain another function and derivative. self.task = 'FG' self.save((stage, ginit, gtest, gx, gy, finit, fx, fy, stx, sty, stmin, stmax, width, width1)) return stp def update(self, stx, fx, gx, sty, fy, gy, stp, fp, gp, stpmin, stpmax): sign = gp * (gx / abs(gx)) # First case: A higher function value. The minimum is bracketed. # If the cubic step is closer to stx than the quadratic step, the # cubic step is taken, otherwise the average of the cubic and # quadratic steps is taken. if fp > fx: #case1 self.case = 1 theta = 3. * (fx - fp) / (stp - stx) + gx + gp s = max(abs(theta), abs(gx), abs(gp)) gamma = s * np.sqrt((theta / s) ** 2. - (gx / s) * (gp / s)) if stp < stx: gamma = -gamma p = (gamma - gx) + theta q = ((gamma - gx) + gamma) + gp r = p / q stpc = stx + r * (stp - stx) stpq = stx + ((gx / ((fx - fp) / (stp-stx) + gx)) / 2.) \ * (stp - stx) if (abs(stpc - stx) < abs(stpq - stx)): stpf = stpc else: stpf = stpc + (stpq - stpc) / 2. self.bracket = True # Second case: A lower function value and derivatives of opposite # sign. The minimum is bracketed. If the cubic step is farther from # stp than the secant step, the cubic step is taken, otherwise the # secant step is taken. elif sign < 0: #case2 self.case = 2 theta = 3. * (fx - fp) / (stp - stx) + gx + gp s = max(abs(theta), abs(gx), abs(gp)) gamma = s * np.sqrt((theta / s) ** 2 - (gx / s) * (gp / s)) if stp > stx: gamma = -gamma p = (gamma - gp) + theta q = ((gamma - gp) + gamma) + gx r = p / q stpc = stp + r * (stx - stp) stpq = stp + (gp / (gp - gx)) * (stx - stp) if (abs(stpc - stp) > abs(stpq - stp)): stpf = stpc else: stpf = stpq self.bracket = True # Third case: A lower function value, derivatives of the same sign, # and the magnitude of the derivative decreases. elif abs(gp) < abs(gx): #case3 self.case = 3 # The cubic step is computed only if the cubic tends to infinity # in the direction of the step or if the minimum of the cubic # is beyond stp. Otherwise the cubic step is defined to be the # secant step. theta = 3. * (fx - fp) / (stp - stx) + gx + gp s = max(abs(theta), abs(gx), abs(gp)) # The case gamma = 0 only arises if the cubic does not tend # to infinity in the direction of the step. gamma = s * np.sqrt(max(0.,(theta / s) ** 2-(gx / s) * (gp / s))) if stp > stx: gamma = -gamma p = (gamma - gp) + theta q = (gamma + (gx - gp)) + gamma r = p / q if r < 0. and gamma != 0: stpc = stp + r * (stx - stp) elif stp > stx: stpc = stpmax else: stpc = stpmin stpq = stp + (gp / (gp - gx)) * (stx - stp) if self.bracket: # A minimizer has been bracketed. If the cubic step is # closer to stp than the secant step, the cubic step is # taken, otherwise the secant step is taken. if abs(stpc - stp) < abs(stpq - stp): stpf = stpc else: stpf = stpq if stp > stx: stpf = min(stp + .66 * (sty - stp), stpf) else: stpf = max(stp + .66 * (sty - stp), stpf) else: # A minimizer has not been bracketed. If the cubic step is # farther from stp than the secant step, the cubic step is # taken, otherwise the secant step is taken. if abs(stpc - stp) > abs(stpq - stp): stpf = stpc else: stpf = stpq stpf = min(stpmax, stpf) stpf = max(stpmin, stpf) # Fourth case: A lower function value, derivatives of the same sign, # and the magnitude of the derivative does not decrease. If the # minimum is not bracketed, the step is either minstep or maxstep, # otherwise the cubic step is taken. else: #case4 self.case = 4 if self.bracket: theta = 3. * (fp - fy) / (sty - stp) + gy + gp s = max(abs(theta), abs(gy), abs(gp)) gamma = s * np.sqrt((theta / s) ** 2 - (gy / s) * (gp / s)) if stp > sty: gamma = -gamma p = (gamma - gp) + theta q = ((gamma - gp) + gamma) + gy r = p / q stpc = stp + r * (sty - stp) stpf = stpc elif stp > stx: stpf = stpmax else: stpf = stpmin # Update the interval which contains a minimizer. if fp > fx: sty = stp fy = fp gy = gp else: if sign < 0: sty = stx fy = fx gy = gx stx = stp fx = fp gx = gp # Compute the new step. stp = self.determine_step(stpf) return stx, sty, stp, gx, fx, gy, fy def determine_step(self, stp): dr = stp - self.old_stp if abs(pymax(self.pk) * dr) > self.maxstep: dr /= abs((pymax(self.pk) * dr) / self.maxstep) stp = self.old_stp + dr return stp def save(self, data): if self.bracket: self.isave[0] = 1 else: self.isave[0] = 0 self.isave[1] = data[0] self.dsave = data[1:] python-ase-3.6.0.2515/ase/utils/deprecate.py0000644000175400017540000000260311410100502017377 0ustar askhlaskhlimport warnings class Deprecate: def __init__(self, obj, name, newmodule, oldmodule='ase'): self.obj = obj self.name = name self.newmodule = newmodule self.oldmodule = oldmodule def __call__(self, *args, **kwargs): message = ('%s.%s is deprecated, use %s.%s instead' % (self.oldmodule, self.name, self.newmodule, self.name)) warnings.warn(message, DeprecationWarning, stacklevel=2) return self.obj(*args, **kwargs) def _dep(method): def _method(self, *args): message = ('ase.%s is deprecated, use %s.%s instead' % (self.name, self.newmodule, self.name)) warnings.warn(message, DeprecationWarning, stacklevel=2) return method(self, *args) return _method class DeprecatedFloat(float): def __new__(cls, value, name, newmodule): return float.__new__(cls, value) def __init__(self, value, name, newmodule): self.name = name self.newmodule = newmodule __mul__ = _dep(float.__mul__) __rmul__ = _dep(float.__rmul__) __div__ = _dep(float.__div__) __rdiv__ = _dep(float.__rdiv__) class DeprecatedNumpyImport: def __init__(self): import numpy self.numpy = numpy def __getattr__(self, key): warnings.warn('ase.np is deprecated; use import numpy as np instead') return getattr(self.numpy, key) python-ase-3.6.0.2515/ase/utils/memory.py0000644000175400017540000004051411216673141017000 0ustar askhlaskhlimport os import numpy as np from UserDict import DictMixin # ------------------------------------------------------------------- class MemoryBase(object, DictMixin): """Virtual memory (VM) statistics of the current process obtained from the relevant entries in /proc//status: VmPeak Peak virtual memory size in bytes. VmLck ??? VmHWM Peak resident set size ("high water mark") in bytes. VmRSS Resident memory usage in bytes. VmSize VM usage of the entire process in bytes. VmData VM usage of heap in bytes. VmStk VM usage of stack in bytes. VmExe VM usage of exe's and statically linked libraries in bytes. VmLib VM usage of dynamically linked libraries in bytes. VmPTE ??? Note that VmSize > VmData + VmStk + VmExe + VmLib due to overhead. """ _scale = {'KB':1024.0, 'MB':1024.0**2} _keys = ('VmPeak', 'VmLck', 'VmHWM', 'VmRSS', 'VmSize', 'VmData', \ 'VmStk', 'VmExe', 'VmLib', 'VmPTE') def __init__(self, verbose=0): self.verbose = verbose if self.verbose>=2: print 'MemoryBase.__init__' object.__init__(self) self._values = np.empty(len(self._keys), dtype=np.float) def __repr__(self): """Return a representation of recorded VM statistics. x.__repr__() <==> repr(x)""" if self.verbose>=2: print 'MemoryBase.__repr__' s = object.__repr__(self) w = max(map(len, self._keys)) unit = 'MB' for k,v in self.iteritems(): res = '' if not np.isnan(v): res = '%8.3f %s' % (v/self._scale[unit], unit) s += '\n\t' + k.ljust(w) + ': ' + res.rjust(8) return s def __len__(self): """Number of VM keys which have not been outdated. x.__len__() <==> len(x)""" if self.verbose>=3: print 'MemoryBase.__len__' return np.sum(~np.isnan(self._values)) def __getitem__(self, key): """Return floating point number associated with a VM key. x.__getitem__(y) <==> x[y]""" if self.verbose>=2: print 'MemoryBase.__getitem__' if key not in self: raise KeyError(key) i = self.keys().index(key) return self._values[i] def __setitem__(self, key, value): """x.__setitem__(i, y) <==> x[i]=y""" if self.verbose>=2: print 'MemoryBase.__setitem__' raise Exception('Virtual member function.') def __delitem__(self, key): """x.__delitem__(y) <==> del x[y]""" if self.verbose>=2: print 'MemoryBase.__delitem__' raise Exception('Virtual member function.') def clear(self): """D.clear() -> None. Remove all items from D.""" if self.verbose>=1: print 'MemoryBase.clear' raise Exception('Virtual member function.') def update(self, other=None): """D.update(E) -> None. Update D from E: for k in E.keys(): D[k] = E[k]""" if self.verbose>=1: print 'MemoryBase.update' DictMixin.update(self, other) def copy(self): """Return a shallow copy of a VM statistics instance. D.copy() -> a shallow copy of D""" if self.verbose>=1: print 'MemoryBase.copy' res = object.__new__(self.__class__) MemoryBase.__init__(res, self.verbose) DictMixin.update(res, self) return res def has_key(self, key): #necessary to avoid infinite recursion """Return boolean to indicate whether key is a supported VM key. D.has_key(k) -> True if D has a key k, else False""" if self.verbose>=3: print 'MemoryBase.has_key' return key in self._keys def keys(self): """Return list of supported VM keys. D.keys() -> list of D's keys""" if self.verbose>=3: print 'MemoryBase.keys' return list(self._keys) def values(self): """Return list of recorded VM statistics. D.values() -> list of D's values""" if self.verbose>=3: print 'MemoryBase.values' return list(self._values) def get(self, key, default=None): """Return floating point number associated with a VM key. D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.""" if self.verbose>=1: print 'MemoryBase.get' v = self[key] if type(default) in [int,float]: default = np.float_(default) if default is not None and not isinstance(default, np.floating): raise ValueError('Default value must be a floating point number.') if default is not None and np.isnan(v): return default else: return v def setdefault(self, key, default=None): """Return floating point number associated with a VM key. D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D""" if self.verbose>=1: print 'MemoryBase.setdefault' v = self[key] if type(default) in [int,float]: default = np.float_(default) if default is not None and not isinstance(default, np.floating): raise ValueError('Default value must be a floating point number.') if default is not None and np.isnan(v): self[key] = default return default else: return v def pop(self, key, default=None): """Return floating point number for a VM key and mark it as outdated. D.pop(k[,d]) -> v, remove specified key and return the corresponding value If key is not found, d is returned if given, otherwise KeyError is raised""" if self.verbose>=1: print 'MemoryBase.pop' v = self[key] if type(default) in [int,float]: default = np.float_(default) if default is not None and not isinstance(default, np.floating): raise ValueError('Default value must be a floating point number.') if default is not None and np.isnan(v): return default else: del self[key] return v def popitem(self): """Return floating point number for some not-yet outdated VM key. D.popitem() -> (k, v), remove and return some (key, value) pair as a 2-tuple; but raise KeyError if D is empty""" if self.verbose>=1: print 'MemoryBase.popitem' for k,v in self.iteritems(): if not np.isnan(v): del self[k] return (k,v) raise KeyError def __add__(self, other): """x.__add__(y) <==> x+y""" if self.verbose>=1: print 'MemoryBase.__add__(%s,%s)' \ % (object.__repr__(self), object.__repr__(other)) res = self.copy() if isinstance(other, MemoryBase): res._values.__iadd__(other._values) elif type(other) in [int,float]: res._values.__iadd__(other) else: raise TypeError('Unsupported operand type') return res def __sub__(self, other): """x.__sub__(y) <==> x-y""" if self.verbose>=1: print 'MemoryBase.__sub__(%s,%s)' \ % (object.__repr__(self), object.__repr__(other)) res = self.copy() if isinstance(other, MemoryBase): res._values.__isub__(other._values) elif type(other) in [int,float]: res._values.__isub__(other) else: raise TypeError('Unsupported operand type') return res def __radd__(self, other): """x.__radd__(y) <==> y+x""" if self.verbose>=1: print 'MemoryBase.__radd__(%s,%s)' \ % (object.__repr__(self), object.__repr__(other)) res = self.copy() if isinstance(other, MemoryBase): res._values.__iadd__(other._values) elif type(other) in [int,float]: res._values.__iadd__(other) else: raise TypeError('Unsupported operand type') return res def __rsub__(self, other): """x.__rsub__(y) <==> y-x""" if self.verbose>=1: print 'MemoryBase.__rsub__(%s,%s)' \ % (object.__repr__(self), object.__repr__(other)) res = self.copy() res._values.__imul__(-1.0) if isinstance(other, MemoryBase): res._values.__iadd__(other._values) elif type(other) in [int,float]: res._values.__iadd__(other) else: raise TypeError('Unsupported operand type') return res # ------------------------------------------------------------------- class MemoryStatistics(MemoryBase): def __init__(self, verbose=0): MemoryBase.__init__(self, verbose) self.update() def __setitem__(self, key, value): """Set VM key to a floating point number. x.__setitem__(i, y) <==> x[i]=y""" if self.verbose>=2: print 'MemoryStatistics.__setitem__' if key not in self: raise KeyError(key) if type(value) in [int,float]: value = np.float_(value) if not isinstance(value, np.floating): raise ValueError('Value must be a floating point number.') i = self.keys().index(key) self._values[i] = value def __delitem__(self, key): """Mark a VK key as outdated. x.__delitem__(y) <==> del x[y]""" if self.verbose>=2: print 'MemoryStatistics.__delitem__' if key not in self: raise KeyError(key) self[key] = np.nan def clear(self): """Mark all supported VM keys as outdated. D.clear() -> None. Remove all items from D.""" if self.verbose>=1: print 'MemoryStatistics.clear' self._values[:] = np.nan def refresh(self): """Refresh all outdated VM keys by reading /proc//status.""" if self.verbose>=1: print 'MemoryBase.refresh' # NB: Linux /proc is for humans; Solaris /proc is for programs! # TODO: Use pipe from 'prstat -p ' or 'pmap -x 1 1' # Skip refresh if none are outdated (i.e. nan) if not np.isnan(self._values).any(): if self.verbose>=2: print 'refresh: skipping...' return try: f = open('/proc/%d/status' % os.getpid(), 'r') for line in f: k, v = line.decode('ascii').split(':') # Only refresh supported keys that are outdated (i.e. nan) if k in self and np.isnan(self[k]): t, s = v.strip().split(None, 1) if self.verbose >= 2: print 'refresh: k=%s, t=%s, s=%s' % (k, t, s) self[k] = float(t) * self._scale[s.upper()] f.close() except (IOError, UnicodeError, ValueError): # Reset on error self.clear() def update(self, other=None): """Update VM statistics from a supplied dict, else clear and refresh. D.update(E) -> None. Update D from E: for k in E.keys(): D[k] = E[k]""" if self.verbose>=1: print 'MemoryStatistics.update' # Call to update without arguments has special meaning if other is None: self.clear() self.refresh() else: MemoryBase.update(self, other) def __iadd__(self, other): """x.__iadd__(y) <==> x+=y""" if self.verbose>=1: print 'MemoryStatistics.__iadd__(%s,%s)' \ % (object.__repr__(self), object.__repr__(other)) if isinstance(other, MemoryBase): self._values.__iadd__(other._values) elif type(other) in [int,float]: self._values.__iadd__(other) else: raise TypeError('Unsupported operand type') return self def __isub__(self, other): """x.__isub__(y) <==> x-=y""" if self.verbose>=1: print 'MemoryStatistics.__isub__(%s,%s)' \ % (object.__repr__(self), object.__repr__(other)) if isinstance(other, MemoryBase): self._values.__isub__(other._values) elif type(other) in [int,float]: self._values.__isub__(other) else: raise TypeError('Unsupported operand type') return self # ------------------------------------------------------------------- #http://www.eecho.info/Echo/python/singleton/ #http://mail.python.org/pipermail/python-list/2007-July/622333.html class Singleton(object): """A Pythonic Singleton object.""" def __new__(cls, *args, **kwargs): if '_inst' not in vars(cls): cls._inst = object.__new__(cls, *args, **kwargs) #cls._inst = super(type, cls).__new__(cls, *args, **kwargs) return cls._inst class MemorySingleton(MemoryBase, Singleton): __doc__ = MemoryBase.__doc__ + """ The singleton variant is immutable once it has been instantiated, which makes it suitable for recording the initial overhead of starting Python.""" def __init__(self, verbose=0): if verbose>=1: print 'MemorySingleton.__init__' if '_values' not in vars(self): if verbose>=1: print 'MemorySingleton.__init__ FIRST!' # Hack to circumvent singleton immutability self.__class__ = MemoryStatistics self.__init__(verbose) self.__class__ = MemorySingleton def __setitem__(self, key, value): """Disabled for the singleton. x.__setitem__(i, y) <==> x[i]=y""" if self.verbose>=2: print 'MemorySingleton.__setitem__' raise ReferenceError('Singleton is immutable.') def __delitem__(self, key): """Disabled for the singleton. x.__delitem__(y) <==> del x[y]""" if self.verbose>=2: print 'MemorySingleton.__delitem__' raise ReferenceError('Singleton is immutable.') def clear(self): """Disabled for the singleton. D.clear() -> None. Remove all items from D.""" if self.verbose>=1: print 'MemorySingleton.clear' raise ReferenceError('Singleton is immutable.') def update(self): """Disabled for the singleton. D.update(E) -> None. Update D from E: for k in E.keys(): D[k] = E[k]""" if self.verbose>=1: print 'MemorySingleton.update' raise ReferenceError('Singleton is immutable.') def copy(self): """Return a shallow non-singleton copy of a VM statistics instance. D.copy() -> a shallow copy of D""" if self.verbose>=1: print 'MemorySingleton.copy' # Hack to circumvent singleton self-copy self.__class__ = MemoryStatistics res = self.copy() self.__class__ = MemorySingleton return res # Make sure singleton is instantiated MemorySingleton() # ------------------------------------------------------------------- # Helper functions for leak testing with NumPy arrays def shapegen(size, ndims, ecc=0.5): """Return a generator of an N-dimensional array shape which approximately contains a given number of elements. size: int or long in [1,inf[ The total number of elements ndims=3: int in [1,inf[ The number of dimensions ecc=0.5: float in ]0,1[ The eccentricity of the distribution """ assert type(size) in [int,float] and size>=1 assert type(ndims) is int and ndims>=1 assert type(ecc) in [int,float] and ecc>0 and ecc<1 for i in range(ndims-1): scale = size**(1.0/(ndims-i)) c = round(np.random.uniform((1-ecc)*scale, 1.0/(1-ecc)*scale)) size/=c yield c yield round(size) def shapeopt(maxseed, size, ndims, ecc=0.5): """Return optimal estimate of an N-dimensional array shape which is closest to containing a given number of elements. maxseed: int in [1,inf[ The maximal number of seeds to try size: int or long in [1,inf[ The total number of elements ndims=3: int in [1,inf[ The number of dimensions ecc=0.5: float in ]0,1[ The eccentricity of the distribution """ assert type(maxseed) is int and maxseed>=1 assert type(size) in [int,float] and size>=1 assert type(ndims) is int and ndims>=1 assert type(ecc) in [int,float] and ecc>0 and ecc<1 digits_best = np.inf shape_best = None for seed in range(maxseed): np.random.seed(seed) shape = tuple(shapegen(size, ndims, ecc)) if np.prod(shape) == size: return -np.inf, shape digits = np.log10(abs(np.prod(shape)-size)) if digits < digits_best: (digits_best, shape_best) = (digits, shape) return digits_best, shape_best python-ase-3.6.0.2515/ase/io/0000755000175400017540000000000011757245036014371 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/io/aims.py0000644000175400017540000003040411641564004015664 0ustar askhlaskhl def read_aims(filename): """Import FHI-aims geometry type files. Reads unitcell, atom positions and constraints from a geometry.in file. """ from ase import Atoms from ase.constraints import FixAtoms, FixCartesian import numpy as np atoms = Atoms() fd = open(filename, 'r') lines = fd.readlines() fd.close() positions = [] cell = [] symbols = [] fix = [] fix_cart = [] xyz = np.array([0, 0, 0]) i = -1 n_periodic = -1 periodic = np.array([False, False, False]) for n, line in enumerate(lines): inp = line.split() if inp == []: continue if inp[0] == 'atom': if xyz.all(): fix.append(i) elif xyz.any(): fix_cart.append(FixCartesian(i, xyz)) floatvect = float(inp[1]), float(inp[2]), float(inp[3]) positions.append(floatvect) symbols.append(inp[-1]) i += 1 xyz = np.array([0, 0, 0]) elif inp[0] == 'lattice_vector': floatvect = float(inp[1]), float(inp[2]), float(inp[3]) cell.append(floatvect) n_periodic = n_periodic + 1 periodic[n_periodic] = True if inp[0] == 'constrain_relaxation': if inp[1] == '.true.': fix.append(i) elif inp[1] == 'x': xyz[0] = 1 elif inp[1] == 'y': xyz[1] = 1 elif inp[1] == 'z': xyz[2] = 1 if xyz.all(): fix.append(i) elif xyz.any(): fix_cart.append(FixCartesian(i, xyz)) atoms = Atoms(symbols, positions) if periodic.all(): atoms.set_cell(cell) atoms.set_pbc(periodic) if len(fix): atoms.set_constraint([FixAtoms(indices=fix)]+fix_cart) else: atoms.set_constraint(fix_cart) return atoms def write_aims(filename, atoms): """Method to write FHI-aims geometry files. Writes the atoms positions and constraints (only FixAtoms is supported at the moment). """ from ase.constraints import FixAtoms, FixCartesian import numpy as np if isinstance(atoms, (list, tuple)): if len(atoms) > 1: raise RuntimeError("Don't know how to save more than "+ "one image to FHI-aims input") else: atoms = atoms[0] fd = open(filename, 'w') fd.write('#=======================================================\n') fd.write('#FHI-aims file: '+filename+'\n') fd.write('#Created using the Atomic Simulation Environment (ASE)\n') fd.write('#=======================================================\n') i = 0 if atoms.get_pbc().any(): for n, vector in enumerate(atoms.get_cell()): fd.write('lattice_vector ') for i in range(3): fd.write('%16.16f ' % vector[i]) fd.write('\n') fix_cart = np.zeros([len(atoms),3]) if atoms.constraints: for constr in atoms.constraints: if isinstance(constr, FixAtoms): fix_cart[constr.index] = [1,1,1] elif isinstance(constr, FixCartesian): fix_cart[constr.a] = -constr.mask+1 for i, atom in enumerate(atoms): fd.write('atom ') for pos in atom.position: fd.write('%16.16f ' % pos) fd.write(atom.symbol) fd.write('\n') # (1) all coords are constrained: if fix_cart[i].all(): fd.write('constrain_relaxation .true.\n') # (2) some coords are constrained: elif fix_cart[i].any(): xyz = fix_cart[i] for n in range(3): if xyz[n]: fd.write('constrain_relaxation %s\n' % 'xyz'[n]) if atom.charge: fd.write('initial_charge %16.6f\n' % atom.charge) if atom.magmom: fd.write('initial_moment %16.6f\n' % atom.magmom) # except KeyError: # continue def read_energy(filename): for line in open(filename, 'r'): if line.startswith(' | Total energy corrected'): E = float(line.split()[-2]) return E def read_aims_output(filename, index = -1): """ Import FHI-aims output files with all data available, i.e. relaxations, MD information, force information etc etc etc. """ from ase import Atoms, Atom from ase.calculators.singlepoint import SinglePointCalculator from ase.units import Ang, fs from ase.constraints import FixAtoms, FixCartesian molecular_dynamics = False fd = open(filename, 'r') cell = [] images = [] fix = [] fix_cart = [] n_periodic = -1 f = None pbc = False found_aims_calculator = False v_unit = Ang/(1000.0*fs) while True: line = fd.readline() if not line: break if "List of parameters used to initialize the calculator:" in line: fd.readline() calc = read_aims_calculator(fd) calc.out = filename found_aims_calculator = True if "Number of atoms" in line: inp = line.split() n_atoms = int(inp[5]) if "| Unit cell:" in line: if not pbc: pbc = True for i in range(3): inp = fd.readline().split() cell.append([inp[1],inp[2],inp[3]]) if "Found relaxation constraint for atom" in line: xyz = [0, 0, 0] ind = int(line.split()[5][:-1])-1 if "All coordinates fixed" in line: if ind not in fix: fix.append(ind) if "coordinate fixed" in line: coord = line.split()[6] constr_ind = 0 if coord == 'x': xyz[0] = 1 elif coord == 'y': xyz[1] = 1 elif coord == 'z': xyz[2] = 1 keep = True for n,c in enumerate(fix_cart): if ind == c.a: keep = False constr_ind = n if keep: fix_cart.append(FixCartesian(ind, xyz)) else: fix_cart[n].mask[xyz.index(1)] = 0 if "Atomic structure:" in line and not molecular_dynamics: fd.readline() atoms = Atoms() for i in range(n_atoms): inp = fd.readline().split() atoms.append(Atom(inp[3],(inp[4],inp[5],inp[6]))) if "Complete information for previous time-step:" in line: molecular_dynamics = True if "Updated atomic structure:" in line and not molecular_dynamics: fd.readline() atoms = Atoms() velocities = [] for i in range(n_atoms): inp = fd.readline().split() if 'lattice_vector' in inp[0]: cell = [] for i in range(3): cell += [[float(inp[1]),float(inp[2]),float(inp[3])]] inp = fd.readline().split() atoms.set_cell(cell) inp = fd.readline().split() atoms.append(Atom(inp[4],(inp[1],inp[2],inp[3]))) if molecular_dynamics: inp = fd.readline().split() if "Atomic structure (and velocities)" in line: fd.readline() atoms = Atoms() velocities = [] for i in range(n_atoms): inp = fd.readline().split() atoms.append(Atom(inp[4],(inp[1],inp[2],inp[3]))) inp = fd.readline().split() velocities += [[float(inp[1])*v_unit,float(inp[2])*v_unit,float(inp[3])*v_unit]] atoms.set_velocities(velocities) if len(fix): atoms.set_constraint([FixAtoms(indices=fix)]+fix_cart) else: atoms.set_constraint(fix_cart) images.append(atoms) if "Total atomic forces" in line: f = [] for i in range(n_atoms): inp = fd.readline().split() f.append([float(inp[2]),float(inp[3]),float(inp[4])]) if not found_aims_calculator: e = images[-1].get_potential_energy() images[-1].set_calculator(SinglePointCalculator(e,f,None,None,atoms)) e = None f = None if "Total energy corrected" in line: e = float(line.split()[5]) if pbc: atoms.set_cell(cell) atoms.pbc = True if not found_aims_calculator: atoms.set_calculator(SinglePointCalculator(e,None,None,None,atoms)) if not molecular_dynamics: if len(fix): atoms.set_constraint([FixAtoms(indices=fix)]+fix_cart) else: atoms.set_constraint(fix_cart) images.append(atoms) e = None if found_aims_calculator: calc.set_results(images[-1]) images[-1].set_calculator(calc) fd.close() if molecular_dynamics: images = images[1:] # return requested images, code borrowed from ase/io/trajectory.py if isinstance(index, int): return images[index] else: step = index.step or 1 if step > 0: start = index.start or 0 if start < 0: start += len(images) stop = index.stop or len(images) if stop < 0: stop += len(images) else: if index.start is None: start = len(images) - 1 else: start = index.start if start < 0: start += len(images) if index.stop is None: stop = -1 else: stop = index.stop if stop < 0: stop += len(images) return [images[i] for i in range(start, stop, step)] def read_aims_calculator(file): """ found instructions for building an FHI-aims calculator in the output file, read its specifications and return it. """ from ase.calculators.aims import Aims calc = Aims() while True: line = file.readline() if "=======================================================" in line: break else: args = line.split() key = '#' if len(args) > 0: key = args[0] if key == '#': comment = True elif calc.float_params.has_key(key): calc.float_params[key] = float(args[1]) elif calc.exp_params.has_key(key): calc.exp_params[key] = float(args[1]) elif calc.string_params.has_key(key): calc.string_params[key] = args[1] if len(args) > 2: for s in args[2:]: calc.string_params[key] += " "+s elif calc.int_params.has_key(key): calc.int_params[key] = int(args[1]) elif calc.bool_params.has_key(key): try: calc.bool_params[key] = bool(args[1]) except: if key == 'vdw_correction_hirshfeld': calc.bool_params[key] = True elif calc.list_params.has_key(key): if key == 'output': # build output string from args: out_option = '' for arg in args[1:]: out_option +=str(arg)+' ' if calc.list_params['output'] is not None: calc.list_params['output'] += [out_option] else: calc.list_params['output'] = [out_option] else: calc.list_params[key] = list(args[1:]) elif '#' in key: key = key[1:] if calc.input_parameters.has_key(key): calc.input_parameters[key] = args[1] if len(args) > 2: for s in args[2:]: calc.input_parameters[key] += " "+s else: raise TypeError('FHI-aims keyword not defined in ASE: ' + key + '. Please check.') return calc python-ase-3.6.0.2515/ase/io/__init__.py0000644000175400017540000004551211706611736016507 0ustar askhlaskhlimport os import sys from tarfile import is_tarfile from zipfile import is_zipfile from ase.atoms import Atoms from ase.units import Bohr, Hartree from ase.io.trajectory import PickleTrajectory from ase.io.bundletrajectory import BundleTrajectory from ase.calculators.singlepoint import SinglePointCalculator __all__ = ['read', 'write', 'PickleTrajectory', 'BundleTrajectory'] def read(filename, index=-1, format=None): """Read Atoms object(s) from file. filename: str Name of the file to read from. index: int or slice If the file contains several configurations, the last configuration will be returned by default. Use index=n to get configuration number n (counting from zero). format: str Used to specify the file-format. If not given, the file-format will be guessed by the *filetype* function. Known formats: ========================= =========== format short name ========================= =========== GPAW restart-file gpw Dacapo netCDF output file dacapo Old ASE netCDF trajectory nc Virtual Nano Lab file vnl ASE pickle trajectory traj ASE bundle trajectory bundle GPAW text output gpaw-text CUBE file cube XCrySDen Structure File xsf Dacapo text output dacapo-text XYZ-file xyz VASP POSCAR/CONTCAR file vasp VASP OUTCAR file vasp_out SIESTA STRUCT file struct_out ABINIT input file abinit V_Sim ascii file v_sim Protein Data Bank pdb CIF-file cif FHI-aims geometry file aims FHI-aims output file aims_out VTK XML Image Data vti VTK XML Structured Grid vts VTK XML Unstructured Grid vtu TURBOMOLE coord file tmol TURBOMOLE gradient file tmol-gradient exciting input exi AtomEye configuration cfg WIEN2k structure file struct DftbPlus input file dftb CASTEP geom file cell CASTEP output file castep CASTEP trajectory file geom ETSF format etsf.nc DFTBPlus GEN format gen CMR db/cmr-file db CMR db/cmr-file cmr LAMMPS dump file lammps ========================= =========== """ if isinstance(filename, str): p = filename.rfind('@') if p != -1: try: index = string2index(filename[p + 1:]) except ValueError: pass else: filename = filename[:p] if isinstance(index, str): index = string2index(index) if format is None: format = filetype(filename) if format.startswith('gpw'): import gpaw r = gpaw.io.open(filename, 'r') positions = r.get('CartesianPositions') * Bohr numbers = r.get('AtomicNumbers') cell = r.get('UnitCell') * Bohr pbc = r.get('BoundaryConditions') tags = r.get('Tags') magmoms = r.get('MagneticMoments') energy = r.get('PotentialEnergy') * Hartree if r.has_array('CartesianForces'): forces = r.get('CartesianForces') * Hartree / Bohr else: forces = None atoms = Atoms(positions=positions, numbers=numbers, cell=cell, pbc=pbc) if tags.any(): atoms.set_tags(tags) if magmoms.any(): atoms.set_initial_magnetic_moments(magmoms) else: magmoms = None atoms.calc = SinglePointCalculator(energy, forces, None, magmoms, atoms) return atoms if format == 'castep': from ase.io.castep import read_castep return read_castep(filename, index) if format == 'castep_cell': import ase.io.castep return ase.io.castep.read_cell(filename, index) if format == 'castep_geom': import ase.io.castep return ase.io.castep.read_geom(filename, index) if format == 'exi': from ase.io.exciting import read_exciting return read_exciting(filename, index) if format == 'xyz': from ase.io.xyz import read_xyz return read_xyz(filename, index) if format == 'traj': from ase.io.trajectory import read_trajectory return read_trajectory(filename, index) if format == 'bundle': from ase.io.bundletrajectory import read_bundletrajectory return read_bundletrajectory(filename, index) if format == 'cube': from ase.io.cube import read_cube return read_cube(filename, index) if format == 'nc': from ase.io.netcdf import read_netcdf return read_netcdf(filename, index) if format == 'gpaw-text': from ase.io.gpawtext import read_gpaw_text return read_gpaw_text(filename, index) if format == 'dacapo-text': from ase.io.dacapo import read_dacapo_text return read_dacapo_text(filename) if format == 'dacapo': from ase.io.dacapo import read_dacapo return read_dacapo(filename) if format == 'xsf': from ase.io.xsf import read_xsf return read_xsf(filename, index) if format == 'vasp': from ase.io.vasp import read_vasp return read_vasp(filename) if format == 'vasp_out': from ase.io.vasp import read_vasp_out return read_vasp_out(filename, index) if format == 'abinit': from ase.io.abinit import read_abinit return read_abinit(filename) if format == 'v_sim': from ase.io.v_sim import read_v_sim return read_v_sim(filename) if format == 'mol': from ase.io.mol import read_mol return read_mol(filename) if format == 'pdb': from ase.io.pdb import read_pdb return read_pdb(filename, index) if format == 'cif': from ase.io.cif import read_cif return read_cif(filename, index) if format == 'struct': from ase.io.wien2k import read_struct return read_struct(filename) if format == 'struct_out': from ase.io.siesta import read_struct return read_struct(filename) if format == 'vti': from ase.io.vtkxml import read_vti return read_vti(filename) if format == 'vts': from ase.io.vtkxml import read_vts return read_vts(filename) if format == 'vtu': from ase.io.vtkxml import read_vtu return read_vtu(filename) if format == 'aims': from ase.io.aims import read_aims return read_aims(filename) if format == 'aims_out': from ase.io.aims import read_aims_output return read_aims_output(filename, index) if format == 'iwm': from ase.io.iwm import read_iwm return read_iwm(filename) if format == 'Cmdft': from ase.io.cmdft import read_I_info return read_I_info(filename) if format == 'tmol': from ase.io.turbomole import read_turbomole return read_turbomole(filename) if format == 'tmol-gradient': from ase.io.turbomole import read_turbomole_gradient return read_turbomole_gradient(filename) if format == 'cfg': from ase.io.cfg import read_cfg return read_cfg(filename) if format == 'dftb': from ase.io.dftb import read_dftb return read_dftb(filename) if format == 'sdf': from ase.io.sdf import read_sdf return read_sdf(filename) if format == 'etsf': from ase.io.etsf import ETSFReader return ETSFReader(filename).read_atoms() if format == 'gen': from ase.io.gen import read_gen return read_gen(filename) if format == 'db': from ase.io.cmr_io import read_db return read_db(filename, index) if format == 'lammps': from ase.io.lammps import read_lammps_dump return read_lammps_dump(filename, index) raise RuntimeError('File format descriptor '+format+' not recognized!') def write(filename, images, format=None, **kwargs): """Write Atoms object(s) to file. filename: str Name of the file to write to. images: Atoms object or list of Atoms objects A single Atoms object or a list of Atoms objects. format: str Used to specify the file-format. If not given, the file-format will be taken from suffix of the filename. The accepted output formats: ========================= =========== format short name ========================= =========== ASE pickle trajectory traj ASE bundle trajectory bundle CUBE file cube XYZ-file xyz VASP POSCAR/CONTCAR file vasp ABINIT input file abinit Protein Data Bank pdb CIF-file cif XCrySDen Structure File xsf FHI-aims geometry file aims gOpenMol .plt file plt Python script py Encapsulated Postscript eps Portable Network Graphics png Persistance of Vision pov VTK XML Image Data vti VTK XML Structured Grid vts VTK XML Unstructured Grid vtu TURBOMOLE coord file tmol exciting exi AtomEye configuration cfg WIEN2k structure file struct CASTEP cell file cell DftbPlus input file dftb ETSF etsf.nc DFTBPlus GEN format gen CMR db/cmr-file db CMR db/cmr-file cmr ========================= =========== The use of additional keywords is format specific. The ``cube`` and ``plt`` formats accept (plt requires it) a ``data`` keyword, which can be used to write a 3D array to the file along with the nuclei coordinates. The ``vti``, ``vts`` and ``vtu`` formats are all specifically directed for use with MayaVi, and the latter is designated for visualization of the atoms whereas the two others are intended for volume data. Further, it should be noted that the ``vti`` format is intended for orthogonal unit cells as only the grid-spacing is stored, whereas the ``vts`` format additionally stores the coordinates of each grid point, thus making it useful for volume date in more general unit cells. The ``eps``, ``png``, and ``pov`` formats are all graphics formats, and accept the additional keywords: rotation: str (default '') The rotation angles, e.g. '45x,70y,90z'. show_unit_cell: int (default 0) Can be 0, 1, 2 to either not show, show, or show all of the unit cell. radii: array or float (default 1.0) An array of same length as the list of atoms indicating the sphere radii. A single float specifies a uniform scaling of the default covalent radii. bbox: 4 floats (default None) Set the bounding box to (xll, yll, xur, yur) (lower left, upper right). colors: array (default None) An array of same length as the list of atoms, indicating the rgb color code for each atom. Default is the jmol_colors of ase/data/colors. scale: int (default 20) Number of pixels per Angstrom. For the ``pov`` graphics format, ``scale`` should not be specified. The elements of the color array can additionally be strings, or 4 and 5 vectors for named colors, rgb + filter, and rgb + filter + transmit specification. This format accepts the additional keywords: ``run_povray``, ``display``, ``pause``, ``transparent``, ``canvas_width``, ``canvas_height``, ``camera_dist``, ``image_plane``, ``camera_type``, ``point_lights``, ``area_light``, ``background``, ``textures``, ``celllinewidth``, ``bondlinewidth``, ``bondatoms`` """ if format is None: if filename == '-': format = 'xyz' filename = sys.stdout elif 'POSCAR' in filename or 'CONTCAR' in filename: format = 'vasp' elif 'OUTCAR' in filename: format = 'vasp_out' elif filename.endswith('etsf.nc'): format = 'etsf' else: suffix = filename.split('.')[-1] format = {'cell':'castep_cell', }.get(suffix, suffix) # XXX this does not make sense # Maybe like this: ## format = {'traj': 'trajectory', ## 'nc': 'netcdf', ## 'exi': 'exciting', ## 'in': 'aims', ## 'tmol': 'turbomole', ## }.get(suffix, suffix) if format == 'castep_cell': from ase.io.castep import write_cell write_cell(filename, images, **kwargs) return if format == 'exi': from ase.io.exciting import write_exciting write_exciting(filename, images) return if format == 'cif': from ase.io.cif import write_cif write_cif(filename, images) if format == 'xyz': from ase.io.xyz import write_xyz write_xyz(filename, images) return if format == 'gen': from ase.io.gen import write_gen write_gen(filename, images) return elif format == 'in': format = 'aims' elif format == 'tmol': from ase.io.turbomole import write_turbomole write_turbomole(filename, images) return elif format == 'dftb': from ase.io.dftb import write_dftb write_dftb(filename, images) return elif format == 'struct': from ase.io.wien2k import write_struct write_struct(filename, images, **kwargs) return elif format == 'findsym': from ase.io.findsym import write_findsym write_findsym(filename, images) return elif format == 'etsf': from ase.io.etsf import ETSFWriter writer = ETSFWriter(filename) if not isinstance(images, (list, tuple)): images = [images] writer.write_atoms(images[0]) writer.close() return elif format == 'db' or format == 'cmr': from ase.io.cmr_io import write_db return write_db(filename, images, **kwargs) format = {'traj': 'trajectory', 'nc': 'netcdf', 'bundle': 'bundletrajectory' }.get(format, format) name = 'write_' + format if format in ['vti', 'vts', 'vtu']: format = 'vtkxml' if format is None: format = filetype(filename) try: write = getattr(__import__('ase.io.%s' % format, {}, {}, [name]), name) except ImportError: raise TypeError('Unknown format: "%s".' % format) write(filename, images, **kwargs) def string2index(string): if ':' not in string: return int(string) i = [] for s in string.split(':'): if s == '': i.append(None) else: i.append(int(s)) i += (3 - len(i)) * [None] return slice(*i) def filetype(filename): """Try to guess the type of the file.""" if os.path.isdir(filename): # Potentially a BundleTrajectory if BundleTrajectory.is_bundle(filename): return 'bundle' else: raise IOError('Directory: ' + filename) fileobj = open(filename) s3 = fileobj.read(3) if len(s3) == 0: raise IOError('Empty file: ' + filename) if filename.lower().endswith('.db') or filename.lower().endswith('.cmr'): return 'db' if is_tarfile(filename): return 'gpw' if s3 == 'CDF': from ase.io.pupynere import NetCDFFile nc = NetCDFFile(filename) if 'number_of_dynamic_atoms' in nc.dimensions: return 'dacapo' history = nc.history if history == 'GPAW restart file': return 'gpw-nc' if history == 'ASE trajectory': return 'nc' if history == 'Dacapo': return 'dacapo' if hasattr(nc, 'file_format') and nc.file_format.startswith('ETSF'): return 'etsf' raise IOError('Unknown netCDF file!') if is_zipfile(filename): return 'vnl' fileobj.seek(0) lines = fileobj.readlines(1000) if lines[0].startswith('PickleTrajectory'): return 'traj' if lines[1].startswith('OUTER LOOP:') or filename.lower().endswith('.cube'): return 'cube' if ' ___ ___ ___ _ _ _ \n' in lines: return 'gpaw-text' if (' &&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&\n' in lines[:90]): return 'dacapo-text' for line in lines: if line[0] != '#': word = line.strip() if word in ['ANIMSTEPS', 'CRYSTAL', 'SLAB', 'POLYMER', 'MOLECULE']: return 'xsf' filename_v = os.path.basename(filename) if 'POSCAR' in filename_v or 'CONTCAR' in filename_v: return 'vasp' if 'OUTCAR' in filename_v: return 'vasp_out' if filename.lower().endswith('.exi'): return 'exi' if filename.lower().endswith('.mol'): return 'mol' if filename.lower().endswith('.pdb'): return 'pdb' if filename.lower().endswith('.cif'): return 'cif' if filename.lower().endswith('.struct'): return 'struct' if filename.lower().endswith('.struct_out'): return 'struct_out' for line in lines: if 'Invoking FHI-aims ...' in line: return 'aims_out' if 'atom' in line: data = line.split() try: a = Atoms(symbols=[data[4]],positions = [[float(data[1]),float(data[2]),float(data[3])]]) return 'aims' except: pass if filename.lower().endswith('.in'): return 'aims' if filename.lower().endswith('.cfg'): return 'cfg' if os.path.split(filename)[1] == 'atoms.dat': return 'iwm' if filename.endswith('I_info'): return 'Cmdft' if lines[0].startswith('$coord') or os.path.basename(filename) == 'coord': return 'tmol' if lines[0].startswith('$grad') or os.path.basename(filename) == 'gradient': return 'tmol-gradient' if lines[0].startswith('Geometry'): return 'dftb' if filename.lower().endswith('.geom'): return 'castep_geom' if filename.lower().endswith('.castep'): return 'castep' if filename.lower().endswith('.cell'): return 'castep_cell' if s3 == '0.3.2 is required') python-ase-3.6.0.2515/ase/io/nwchem.py0000644000175400017540000000366411721163635016230 0ustar askhlaskhlfrom cStringIO import StringIO from ase.atoms import Atoms from ase.io.xyz import read_xyz def read_nwchem(filename): """Method to read geometry from a nwchem output """ from ase import Atoms, Atom if isinstance(filename, str): f = open(filename) lines = f.readlines() i = 0 while i < len(lines): if lines[i].find('XYZ format geometry') >=0: natoms = int(lines[i + 2].split()[0]) string = '' for j in range(2, natoms + 4): xyzstring = lines[i + j] symbol = xyzstring.split()[0].strip() # replace bq ghost with X: MDTMP can we do better? if symbol.startswith('bq'): xyzstring = xyzstring.replace(symbol, 'X') string += xyzstring atoms = read_xyz(StringIO(string)) i += natoms + 4 else: i += 1 if type(filename) == str: f.close() return atoms def write_nwchem(filename, atoms, geometry=None): """Method to write nwchem coord file """ import numpy as np if isinstance(filename, str): f = open(filename, 'w') else: # Assume it's a 'file-like object' f = filename # autosym and autoz are defaults # http://www.nwchem-sw.org/index.php/Geometry # geometry noautoz results in higher memory demand! # http://www.emsl.pnl.gov/docs/nwchem/nwchem-support/2010/10/0060.RE:_NWCHEM_Geometry_problem_fwd_ if geometry is not None: f.write('geometry ' + str(geometry) + '\n') else: f.write('geometry\n') for atom in atoms: if atom.tag == -71: # 71 is ascii G (Ghost) symbol = 'bq' + atom.symbol else: symbol = atom.symbol f.write(' ' + symbol + ' ' + str(atom.position[0]) + ' ' + str(atom.position[1]) + ' ' + str(atom.position[2]) + '\n' ) f.write('end\n') python-ase-3.6.0.2515/ase/io/pupynere.py0000644000175400017540000005134411144273672016616 0ustar askhlaskhl""" NetCDF reader/writer module. This module implements the Scientific.IO.NetCDF API to read and create NetCDF files. The same API is also used in the PyNIO and pynetcdf modules, allowing these modules to be used interchangebly when working with NetCDF files. The major advantage of ``scipy.io.netcdf`` over other modules is that it doesn't require the code to be linked to the NetCDF libraries as the other modules do. The code is based on the NetCDF file format specification (http://www.unidata.ucar.edu/software/netcdf/guide_15.html). A NetCDF file is a self-describing binary format, with a header followed by data. The header contains metadata describing dimensions, variables and the position of the data in the file, so access can be done in an efficient manner without loading unnecessary data into memory. We use the ``mmap`` module to create Numpy arrays mapped to the data on disk, for the same purpose. The structure of a NetCDF file is as follows: C D F Record data refers to data where the first axis can be expanded at will. All record variables share a same dimension at the first axis, and they are stored at the end of the file per record, ie A[0], B[0], ..., A[1], B[1], ..., etc, so that new data can be appended to the file without changing its original structure. Non-record data are padded to a 4n bytes boundary. Record data are also padded, unless there is exactly one record variable in the file, in which case the padding is dropped. All data is stored in big endian byte order. The Scientific.IO.NetCDF API allows attributes to be added directly to instances of ``netcdf_file`` and ``netcdf_variable``. To differentiate between user-set attributes and instance attributes, user-set attributes are automatically stored in the ``_attributes`` attribute by overloading ``__setattr__``. This is the reason why the code sometimes uses ``obj.__dict__['key'] = value``, instead of simply ``obj.key = value``; otherwise the key would be inserted into userspace attributes. To create a NetCDF file:: >>> import time >>> f = netcdf_file('simple.nc', 'w') >>> f.history = 'Created for a test' >>> f.createDimension('time', 10) >>> time = f.createVariable('time', 'i', ('time',)) >>> time[:] = range(10) >>> time.units = 'days since 2008-01-01' >>> f.close() To read the NetCDF file we just created:: >>> f = netcdf_file('simple.nc', 'r') >>> print f.history Created for a test >>> time = f.variables['time'] >>> print time.units days since 2008-01-01 >>> print time.shape (10,) >>> print time[-1] 9 >>> f.close() TODO: properly implement ``_FillValue``. """ __all__ = ['netcdf_file', 'netcdf_variable'] from operator import mul from mmap import mmap, ACCESS_READ from numpy import fromstring, ndarray, dtype, empty, array, asarray from numpy import little_endian as LITTLE_ENDIAN ABSENT = '\x00\x00\x00\x00\x00\x00\x00\x00' ZERO = '\x00\x00\x00\x00' NC_BYTE = '\x00\x00\x00\x01' NC_CHAR = '\x00\x00\x00\x02' NC_SHORT = '\x00\x00\x00\x03' NC_INT = '\x00\x00\x00\x04' NC_FLOAT = '\x00\x00\x00\x05' NC_DOUBLE = '\x00\x00\x00\x06' NC_DIMENSION = '\x00\x00\x00\n' NC_VARIABLE = '\x00\x00\x00\x0b' NC_ATTRIBUTE = '\x00\x00\x00\x0c' TYPEMAP = { NC_BYTE: ('b', 1), NC_CHAR: ('c', 1), NC_SHORT: ('h', 2), NC_INT: ('i', 4), NC_FLOAT: ('f', 4), NC_DOUBLE: ('d', 8) } REVERSE = { 'b': NC_BYTE, 'c': NC_CHAR, 'h': NC_SHORT, 'i': NC_INT, 'f': NC_FLOAT, 'd': NC_DOUBLE, # these come from asarray(1).dtype.char and asarray('foo').dtype.char, # used when getting the types from generic attributes. 'l': NC_INT, 'S': NC_CHAR } class netcdf_file(object): """ A ``netcdf_file`` object has two standard attributes: ``dimensions`` and ``variables``. The values of both are dictionaries, mapping dimension names to their associated lengths and variable names to variables, respectively. Application programs should never modify these dictionaries. All other attributes correspond to global attributes defined in the NetCDF file. Global file attributes are created by assigning to an attribute of the ``netcdf_file`` object. """ def __init__(self, filename, mode='r', mmap=True): if not __debug__: raise RuntimeError('Current version of pupynere does not ' + 'work with -O option. We need to update ' + 'to version 1.0.7!') self.filename = filename self.use_mmap = mmap assert mode in 'rw', "Mode must be either 'r' or 'w'." self.mode = mode self.dimensions = {} self.variables = {} self._dims = [] self._recs = 0 self._recsize = 0 self.fp = open(self.filename, '%sb' % mode) self._attributes = {} if mode is 'r': self._read() def __setattr__(self, attr, value): # Store user defined attributes in a separate dict, # so we can save them to file later. try: self._attributes[attr] = value except AttributeError: pass self.__dict__[attr] = value def close(self): if not self.fp.closed: try: self.flush() finally: self.fp.close() __del__ = close def createDimension(self, name, length): self.dimensions[name] = length self._dims.append(name) def createVariable(self, name, type, dimensions): shape = tuple([self.dimensions[dim] for dim in dimensions]) shape_ = tuple([dim or 0 for dim in shape]) # replace None with 0 for numpy if isinstance(type, basestring): type = dtype(type) typecode, size = type.char, type.itemsize dtype_ = '>%s' % typecode if size > 1: dtype_ += str(size) data = empty(shape_, dtype=dtype_) self.variables[name] = netcdf_variable(data, typecode, shape, dimensions) return self.variables[name] def flush(self): if self.mode is 'w': self._write() sync = flush def _write(self): self.fp.write('CDF') self.__dict__['version_byte'] = 1 self.fp.write(array(1, '>b').tostring()) # Write headers and data. self._write_numrecs() self._write_dim_array() self._write_gatt_array() self._write_var_array() def _write_numrecs(self): # Get highest record count from all record variables. for var in self.variables.values(): if var.isrec and len(var.data) > self._recs: self.__dict__['_recs'] = len(var.data) self._pack_int(self._recs) def _write_dim_array(self): if self.dimensions: self.fp.write(NC_DIMENSION) self._pack_int(len(self.dimensions)) for name in self._dims: self._pack_string(name) length = self.dimensions[name] self._pack_int(length or 0) # replace None with 0 for record dimension else: self.fp.write(ABSENT) def _write_gatt_array(self): self._write_att_array(self._attributes) def _write_att_array(self, attributes): if attributes: self.fp.write(NC_ATTRIBUTE) self._pack_int(len(attributes)) for name, values in attributes.items(): self._pack_string(name) self._write_values(values) else: self.fp.write(ABSENT) def _write_var_array(self): if self.variables: self.fp.write(NC_VARIABLE) self._pack_int(len(self.variables)) # Sort variables non-recs first, then recs. variables = self.variables.items() if True: # Backwards compatible with Python versions < 2.4 keys = [(v._shape and not v.isrec, k) for k, v in variables] keys.sort() keys.reverse() variables = [k for isrec, k in keys] else: # Python version must be >= 2.4 variables.sort(key=lambda (k, v): v._shape and not v.isrec) variables.reverse() variables = [k for (k, v) in variables] # Set the metadata for all variables. for name in variables: self._write_var_metadata(name) # Now that we have the metadata, we know the vsize of # each record variable, so we can calculate recsize. self.__dict__['_recsize'] = sum([ var._vsize for var in self.variables.values() if var.isrec]) # Set the data for all variables. for name in variables: self._write_var_data(name) else: self.fp.write(ABSENT) def _write_var_metadata(self, name): var = self.variables[name] self._pack_string(name) self._pack_int(len(var.dimensions)) for dimname in var.dimensions: dimid = self._dims.index(dimname) self._pack_int(dimid) self._write_att_array(var._attributes) nc_type = REVERSE[var.typecode()] self.fp.write(nc_type) if not var.isrec: vsize = var.data.size * var.data.itemsize vsize += -vsize % 4 else: # record variable try: vsize = var.data[0].size * var.data.itemsize except IndexError: vsize = 0 rec_vars = len([var for var in self.variables.values() if var.isrec]) if rec_vars > 1: vsize += -vsize % 4 self.variables[name].__dict__['_vsize'] = vsize self._pack_int(vsize) # Pack a bogus begin, and set the real value later. self.variables[name].__dict__['_begin'] = self.fp.tell() self._pack_begin(0) def _write_var_data(self, name): var = self.variables[name] # Set begin in file header. the_beguine = self.fp.tell() self.fp.seek(var._begin) self._pack_begin(the_beguine) self.fp.seek(the_beguine) # Write data. if not var.isrec: self.fp.write(var.data.tostring()) count = var.data.size * var.data.itemsize self.fp.write('0' * (var._vsize - count)) else: # record variable # Handle rec vars with shape[0] < nrecs. if self._recs > len(var.data): shape = (self._recs,) + var.data.shape[1:] var.data.resize(shape) pos0 = pos = self.fp.tell() for rec in var.data: # Apparently scalars cannot be converted to big endian. If we # try to convert a ``=i4`` scalar to, say, '>i4' the dtype # will remain as ``=i4``. if not rec.shape and (rec.dtype.byteorder == '<' or (rec.dtype.byteorder == '=' and LITTLE_ENDIAN)): rec = rec.byteswap() self.fp.write(rec.tostring()) # Padding count = rec.size * rec.itemsize self.fp.write('0' * (var._vsize - count)) pos += self._recsize self.fp.seek(pos) self.fp.seek(pos0 + var._vsize) def _write_values(self, values): values = asarray(values) values = values.astype(values.dtype.newbyteorder('>')) nc_type = REVERSE[values.dtype.char] self.fp.write(nc_type) if values.dtype.char == 'S': nelems = values.itemsize else: nelems = values.size self._pack_int(nelems) if not values.shape and (values.dtype.byteorder == '<' or (values.dtype.byteorder == '=' and LITTLE_ENDIAN)): values = values.byteswap() self.fp.write(values.tostring()) count = values.size * values.itemsize self.fp.write('0' * (-count % 4)) # pad def _read(self): # Check magic bytes and version assert self.fp.read(3) == 'CDF', "Error: %s is not a valid NetCDF 3 file" % self.filename self.__dict__['version_byte'] = fromstring(self.fp.read(1), '>b')[0] # Read file headers and set data. self._read_numrecs() self._read_dim_array() self._read_gatt_array() self._read_var_array() def _read_numrecs(self): self.__dict__['_recs'] = self._unpack_int() def _read_dim_array(self): assert self.fp.read(4) in [ZERO, NC_DIMENSION] count = self._unpack_int() for dim in range(count): name = self._unpack_string() length = self._unpack_int() or None # None for record dimension self.dimensions[name] = length self._dims.append(name) # preserve order def _read_gatt_array(self): for k, v in self._read_att_array().items(): self.__setattr__(k, v) def _read_att_array(self): assert self.fp.read(4) in [ZERO, NC_ATTRIBUTE] count = self._unpack_int() attributes = {} for attr in range(count): name = self._unpack_string() attributes[name] = self._read_values() return attributes def _read_var_array(self): assert self.fp.read(4) in [ZERO, NC_VARIABLE] begin = 0 dtypes = {'names': [], 'formats': []} rec_vars = [] count = self._unpack_int() for var in range(count): name, dimensions, shape, attributes, typecode, size, dtype_, begin_, vsize = self._read_var() if shape and shape[0] is None: rec_vars.append(name) self.__dict__['_recsize'] += vsize if begin == 0: begin = begin_ dtypes['names'].append(name) dtypes['formats'].append(str(shape[1:]) + dtype_) # Handle padding with a virtual variable. if typecode in 'bch': actual_size = reduce(mul, (1,) + shape[1:]) * size padding = -actual_size % 4 if padding: dtypes['names'].append('_padding_%d' % var) dtypes['formats'].append('(%d,)>b' % padding) # Data will be set later. data = None else: if self.use_mmap: mm = mmap(self.fp.fileno(), begin_+vsize, access=ACCESS_READ) data = ndarray.__new__(ndarray, shape, dtype=dtype_, buffer=mm, offset=begin_, order=0) else: pos = self.fp.tell() self.fp.seek(begin_) data = fromstring(self.fp.read(vsize), dtype=dtype_) data.shape = shape self.fp.seek(pos) # Add variable. self.variables[name] = netcdf_variable( data, typecode, shape, dimensions, attributes) if rec_vars: # Remove padding when only one record variable. if len(rec_vars) == 1: dtypes['names'] = dtypes['names'][:1] dtypes['formats'] = dtypes['formats'][:1] # Build rec array. if self.use_mmap: mm = mmap(self.fp.fileno(), begin+self._recs*self._recsize, access=ACCESS_READ) rec_array = ndarray.__new__(ndarray, (self._recs,), dtype=dtypes, buffer=mm, offset=begin, order=0) else: pos = self.fp.tell() self.fp.seek(begin) rec_array = fromstring(self.fp.read(self._recs*self._recsize), dtype=dtypes) rec_array.shape = (self._recs,) self.fp.seek(pos) for var in rec_vars: self.variables[var].__dict__['data'] = rec_array[var] def _read_var(self): name = self._unpack_string() dimensions = [] shape = [] dims = self._unpack_int() for i in range(dims): dimid = self._unpack_int() dimname = self._dims[dimid] dimensions.append(dimname) dim = self.dimensions[dimname] shape.append(dim) dimensions = tuple(dimensions) shape = tuple(shape) attributes = self._read_att_array() nc_type = self.fp.read(4) vsize = self._unpack_int() begin = [self._unpack_int, self._unpack_int64][self.version_byte-1]() typecode, size = TYPEMAP[nc_type] if typecode is 'c': dtype_ = '>c' else: dtype_ = '>%s' % typecode if size > 1: dtype_ += str(size) return name, dimensions, shape, attributes, typecode, size, dtype_, begin, vsize def _read_values(self): nc_type = self.fp.read(4) n = self._unpack_int() typecode, size = TYPEMAP[nc_type] count = n*size values = self.fp.read(count) self.fp.read(-count % 4) # read padding if typecode is not 'c': values = fromstring(values, dtype='>%s%d' % (typecode, size)) if values.shape == (1,): values = values[0] else: values = values.rstrip('\x00') return values def _pack_begin(self, begin): if self.version_byte == 1: self._pack_int(begin) elif self.version_byte == 2: self._pack_int64(begin) def _pack_int(self, value): self.fp.write(array(value, '>i').tostring()) _pack_int32 = _pack_int def _unpack_int(self): return int(fromstring(self.fp.read(4), '>i')[0]) _unpack_int32 = _unpack_int def _pack_int64(self, value): self.fp.write(array(value, '>q').tostring()) def _unpack_int64(self): return int(fromstring(self.fp.read(8), '>q')[0]) def _pack_string(self, s): count = len(s) self._pack_int(count) self.fp.write(s) self.fp.write('0' * (-count % 4)) # pad def _unpack_string(self): count = self._unpack_int() s = self.fp.read(count).rstrip('\x00') self.fp.read(-count % 4) # read padding return s class netcdf_variable(object): """ ``netcdf_variable`` objects are constructed by calling the method ``createVariable`` on the netcdf_file object. ``netcdf_variable`` objects behave much like array objects defined in Numpy, except that their data resides in a file. Data is read by indexing and written by assigning to an indexed subset; the entire array can be accessed by the index ``[:]`` or using the methods ``getValue`` and ``assignValue``. ``netcdf_variable`` objects also have attribute ``shape`` with the same meaning as for arrays, but the shape cannot be modified. There is another read-only attribute ``dimensions``, whose value is the tuple of dimension names. All other attributes correspond to variable attributes defined in the NetCDF file. Variable attributes are created by assigning to an attribute of the ``netcdf_variable`` object. """ def __init__(self, data, typecode, shape, dimensions, attributes=None): self.data = data self._typecode = typecode self._shape = shape self.dimensions = dimensions self._attributes = attributes or {} for k, v in self._attributes.items(): self.__dict__[k] = v def __setattr__(self, attr, value): # Store user defined attributes in a separate dict, # so we can save them to file later. try: self._attributes[attr] = value except AttributeError: pass self.__dict__[attr] = value def isrec(self): return self.data.shape and not self._shape[0] isrec = property(isrec) def shape(self): return self.data.shape shape = property(shape) def getValue(self): return self.data.item() def assignValue(self, value): self.data.itemset(value) def typecode(self): return self._typecode def __getitem__(self, index): return self.data[index] def __setitem__(self, index, data): # Expand data for record vars? if self.isrec: if isinstance(index, tuple): rec_index = index[0] else: rec_index = index if isinstance(rec_index, slice): recs = (rec_index.start or 0) + len(data) else: recs = rec_index + 1 if recs > len(self.data): shape = (recs,) + self._shape[1:] self.data.resize(shape) self.data[index] = data NetCDFFile = netcdf_file NetCDFVariable = netcdf_variable python-ase-3.6.0.2515/ase/io/gpawtext.py0000644000175400017540000001150111631610371016571 0ustar askhlaskhlimport numpy as np from ase.atoms import Atom, Atoms from ase.calculators.singlepoint import SinglePointDFTCalculator from ase.calculators.singlepoint import SinglePointKPoint def read_gpaw_text(fileobj, index=-1): if isinstance(fileobj, str): fileobj = open(fileobj) def index_startswith(lines, string): for i, line in enumerate(lines): if line.startswith(string): return i raise ValueError lines = fileobj.readlines() images = [] while True: try: i = lines.index('Unit Cell:\n') except ValueError: pass else: cell = [] pbc = [] for line in lines[i + 3:i + 6]: words = line.split() if len(words) == 5: # old format cell.append(float(words[2])) pbc.append(words[1] == 'yes') else: # new format with GUC cell.append([float(word) for word in words[3:6]]) pbc.append(words[2] == 'yes') try: i = lines.index('Positions:\n') except ValueError: break atoms = Atoms(cell=cell, pbc=pbc) for line in lines[i + 1:]: words = line.split() if len(words) != 5: break n, symbol, x, y, z = words symbol = symbol.split('.')[0] atoms.append(Atom(symbol, [float(x), float(y), float(z)])) lines = lines[i + 5:] try: i = lines.index('-------------------------\n') except ValueError: e = None else: line = lines[i + 9] assert line.startswith('Zero Kelvin:') e = float(line.split()[-1]) try: ii = index_startswith(lines, 'Fermi Level:') except ValueError: eFermi = None else: try: eFermi = float(lines[ii].split()[2]) except ValueError: # we have two Fermi levels fields = lines[ii].split() def strip(string): for rubbish in '[],': string = string.replace(rubbish, '') return string eFermi = [float(strip(fields[2])), float(strip(fields[3])) ] # read Eigenvalues and occupations ii1 = ii2 = 1e32 try: ii1 = index_startswith(lines, ' Band Eigenvalues Occupancy') except ValueError: pass try: ii2 = index_startswith(lines, ' Band Eigenvalues Occupancy') except ValueError: pass ii = min(ii1, ii2) if ii == 1e32: kpts = None else: ii += 1 words = lines[ii].split() vals = [] while(len(words) > 2): vals.append([float(word) for word in words]) ii += 1 words = lines[ii].split() vals = np.array(vals).transpose() kpts = [SinglePointKPoint(0, 0)] kpts[0].eps_n = vals[1] kpts[0].f_n = vals[2] if vals.shape[0] > 3: kpts.append(SinglePointKPoint(0, 1)) kpts[1].eps_n = vals[3] kpts[1].f_n = vals[4] # read charge try: ii = index_startswith(lines, 'Total Charge:') except ValueError: q = None else: q = float(lines[ii].split()[2]) try: ii = index_startswith(lines, 'Local Magnetic Moments') except ValueError: magmoms = None else: magmoms = [] for i in range(ii + 1, ii + 1 + len(atoms)): iii, magmom = lines[i].split()[:2] magmoms.append(float(magmom)) try: ii = lines.index('Forces in eV/Ang:\n') except ValueError: f = None else: f = [] for i in range(ii + 1, ii + 1 + len(atoms)): try: x, y, z = lines[i].split()[-3:] f.append((float(x), float(y), float(z))) except (ValueError, IndexError), m: raise IOError('Malformed GPAW log file: %s' % m) if len(images) > 0 and e is None: break if e is not None or f is not None: calc = SinglePointDFTCalculator(e, f, None, magmoms, atoms, eFermi) if kpts is not None: calc.kpts = kpts atoms.set_calculator(calc) if q is not None and len(atoms) > 0: n = len(atoms) atoms.set_charges([q / n] * n) images.append(atoms) lines = lines[i:] if len(images) == 0: raise IOError('Corrupted GPAW-text file!') return images[index] python-ase-3.6.0.2515/ase/io/py.py0000644000175400017540000000142511410146060015354 0ustar askhlaskhlfrom ase.atoms import Atoms def write_py(fileobj, images, **kwargs): if isinstance(fileobj, str): fileobj = open(fileobj, 'w') fileobj.write('from ase import Atoms\n\n') fileobj.write('import numpy as np\n\n') if not isinstance(images, (list, tuple)): images = [images] fileobj.write('images = [\n') for image in images: fileobj.write(" Atoms(symbols='%s',\n" " pbc=np.%s,\n" " cell=np.array(\n %s,\n" " positions=np.array(\n %s),\n" % ( image.get_chemical_symbols(reduce=True), repr(image.pbc), repr(image.cell)[6:], repr(image.positions)[6:])) fileobj.write(']') python-ase-3.6.0.2515/ase/io/bader.py0000644000175400017540000000331311267606613016016 0ustar askhlaskhlimport numpy as np from ase.units import Bohr def attach_charges(atoms, fileobj='ACF.dat', displacement=1e-4): """Attach the charges from the fileobj to the Atoms.""" if isinstance(fileobj, str): fileobj = open(fileobj) sep = '---------------' i = 0 # Counter for the lines k = 0 # Counter of sep assume6columns = False for line in fileobj: if line[0] == '\n': # check if there is an empty line in the i -= 1 # head of ACF.dat file if i == 0: headings = line if 'BADER' in headings.split(): j = headings.split().index('BADER') elif 'CHARGE' in headings.split(): j = headings.split().index('CHARGE') else: print 'Can\'t find keyword "BADER" or "CHARGE".' \ +' Assuming the ACF.dat file has 6 columns.' j = 4 assume6columns = True if sep in line: # Stop at last seperator line if k == 1: break k += 1 if not i > 1: pass else: words = line.split() if assume6columns is True: if len(words) != 6: raise IOError('Number of columns in ACF file incorrect!\n' 'Check that Bader program version >= 0.25') atom = atoms[int(words[0]) - 1] atom.charge = atom.number - float(words[j]) if displacement is not None: # check if the atom positions match xyz = np.array([float(w) for w in words[1:4]]) * Bohr assert np.linalg.norm(atom.position - xyz) < displacement i += 1 python-ase-3.6.0.2515/ase/io/cube.py0000644000175400017540000000547311307457017015665 0ustar askhlaskhl""" IO support for the Gaussian cube format. See the format specifications on: http://local.wasp.uwa.edu.au/~pbourke/dataformats/cube/ """ import numpy as np from ase.atoms import Atoms from ase.units import Bohr from ase.parallel import paropen def write_cube(fileobj, atoms, data=None): if isinstance(fileobj, str): fileobj = paropen(fileobj, 'w') if isinstance(atoms, list): if len(atoms) > 1: raise ValueError('Can only write one configuration ' 'to a cube file!') atoms = atoms[0] if data is None: data = np.ones((2, 2, 2)) data = np.asarray(data) if data.dtype == complex: data = np.abs(data) fileobj.write('cube file from ase\n') fileobj.write('OUTER LOOP: X, MIDDLE LOOP: Y, INNER LOOP: Z\n') cell = atoms.get_cell() shape = np.array(data.shape) corner = np.zeros(3) for i in range(3): if shape[i] % 2 == 1: shape[i] += 1 corner += cell[i] / shape[i] / Bohr fileobj.write('%5d%12.6f%12.6f%12.6f\n' % (len(atoms), corner[0], corner[1], corner[2])) for i in range(3): n = data.shape[i] d = cell[i] / shape[i] / Bohr fileobj.write('%5d%12.6f%12.6f%12.6f\n' % (n, d[0], d[1], d[2])) positions = atoms.get_positions() / Bohr numbers = atoms.get_atomic_numbers() for Z, (x, y, z) in zip(numbers, positions): fileobj.write('%5d%12.6f%12.6f%12.6f%12.6f\n' % (Z, 0.0, x, y, z)) data.tofile(fileobj, sep='\n', format='%e') def read_cube(fileobj, index=-1, read_data=False): if isinstance(fileobj, str): fileobj = open(fileobj) readline = fileobj.readline readline() axes = ['XYZ'.index(s[0]) for s in readline().split()[2::3]] if axes == []: axes = [0, 1, 2] line = readline().split() natoms = int(line[0]) corner = [Bohr * float(x) for x in line[1:]] cell = np.empty((3, 3)) shape = [] for i in range(3): n, x, y, z = [float(s) for s in readline().split()] shape.append(n) if n % 2 == 1: n += 1 cell[i] = n * Bohr * np.array([x, y, z]) numbers = np.empty(natoms, int) positions = np.empty((natoms, 3)) for i in range(natoms): line = readline().split() numbers[i] = int(line[0]) positions[i] = [float(s) for s in line[2:]] positions *= Bohr atoms = Atoms(numbers=numbers, positions=positions, cell=cell) if read_data: data = np.array([float(s) for s in fileobj.read().split()]).reshape(shape) if axes != [0, 1, 2]: data = data.transpose(axes).copy() return data, atoms return atoms def read_cube_data(fileobj): return read_cube(fileobj, read_data=True) python-ase-3.6.0.2515/ase/io/trajectory.py0000644000175400017540000004657511663247765017161 0ustar askhlaskhlimport os import sys import cPickle as pickle import warnings from ase.calculators.singlepoint import SinglePointCalculator from ase.atoms import Atoms from ase.parallel import rank, barrier from ase.utils import devnull class PickleTrajectory: """Reads/writes Atoms objects into a .traj file.""" # Per default, write these quantities write_energy = True write_forces = True write_stress = True write_magmoms = True write_momenta = True write_info = True def __init__(self, filename, mode='r', atoms=None, master=None, backup=True): """A PickleTrajectory can be created in read, write or append mode. Parameters: filename: The name of the parameter file. Should end in .traj. mode='r': The mode. 'r' is read mode, the file should already exist, and no atoms argument should be specified. 'w' is write mode. If the file already exists, is it renamed by appending .bak to the file name. The atoms argument specifies the Atoms object to be written to the file, if not given it must instead be given as an argument to the write() method. 'a' is append mode. It acts a write mode, except that data is appended to a preexisting file. atoms=None: The Atoms object to be written in write or append mode. master=None: Controls which process does the actual writing. The default is that process number 0 does this. If this argument is given, processes where it is True will write. backup=True: Use backup=False to disable renaming of an existing file. """ self.numbers = None self.pbc = None self.sanitycheck = True self.pre_observers = [] # Callback functions before write self.post_observers = [] # Callback functions after write self.write_counter = 0 # Counter used to determine when callbacks # are called self.offsets = [] if master is None: master = (rank == 0) self.master = master self.backup = backup self.set_atoms(atoms) self.open(filename, mode) def open(self, filename, mode): """Opens the file. For internal use only. """ self.fd = filename if mode == 'r': if isinstance(filename, str): self.fd = open(filename, 'rb') self.read_header() elif mode == 'a': exists = True if isinstance(filename, str): exists = os.path.isfile(filename) if exists: self.fd = open(filename, 'rb') self.read_header() self.fd.close() barrier() if self.master: self.fd = open(filename, 'ab+') else: self.fd = devnull elif mode == 'w': if self.master: if isinstance(filename, str): if self.backup and os.path.isfile(filename): os.rename(filename, filename + '.bak') self.fd = open(filename, 'wb') else: self.fd = devnull else: raise ValueError('mode must be "r", "w" or "a".') def set_atoms(self, atoms=None): """Associate an Atoms object with the trajectory. Mostly for internal use. """ if atoms is not None and not hasattr(atoms, 'get_positions'): raise TypeError('"atoms" argument is not an Atoms object.') self.atoms = atoms def read_header(self): self.fd.seek(0) try: if self.fd.read(len('PickleTrajectory')) != 'PickleTrajectory': raise IOError('This is not a trajectory file!') d = pickle.load(self.fd) except EOFError: raise EOFError('Bad trajectory file.') self.pbc = d['pbc'] self.numbers = d['numbers'] self.tags = d.get('tags') self.masses = d.get('masses') self.constraints = dict2constraints(d) self.offsets.append(self.fd.tell()) def write(self, atoms=None): """Write the atoms to the file. If the atoms argument is not given, the atoms object specified when creating the trajectory object is used. """ self._call_observers(self.pre_observers) if atoms is None: atoms = self.atoms if hasattr(atoms, 'interpolate'): # seems to be a NEB neb = atoms assert not neb.parallel try: neb.get_energies_and_forces(all=True) except AttributeError: pass for image in neb.images: self.write(image) return if len(self.offsets) == 0: self.write_header(atoms) else: if (atoms.pbc != self.pbc).any(): raise ValueError('Bad periodic boundary conditions!') elif self.sanitycheck and len(atoms) != len(self.numbers): raise ValueError('Bad number of atoms!') elif self.sanitycheck and (atoms.numbers != self.numbers).any(): raise ValueError('Bad atomic numbers!') if atoms.has('momenta'): momenta = atoms.get_momenta() else: momenta = None d = {'positions': atoms.get_positions(), 'cell': atoms.get_cell(), 'momenta': momenta} if atoms.get_calculator() is not None: if self.write_energy: d['energy'] = atoms.get_potential_energy() if self.write_forces: assert self.write_energy try: d['forces'] = atoms.get_forces(apply_constraint=False) except NotImplementedError: pass if self.write_stress: assert self.write_energy try: d['stress'] = atoms.get_stress() except NotImplementedError: pass if self.write_magmoms: try: if atoms.calc.get_spin_polarized(): d['magmoms'] = atoms.get_magnetic_moments() except (NotImplementedError, AttributeError): pass if 'magmoms' not in d and atoms.has('magmoms'): d['magmoms'] = atoms.get_initial_magnetic_moments() if self.write_info: d['info'] = stringnify_info(atoms.info) if self.master: pickle.dump(d, self.fd, protocol=-1) self.fd.flush() self.offsets.append(self.fd.tell()) self._call_observers(self.post_observers) self.write_counter += 1 def write_header(self, atoms): self.fd.write('PickleTrajectory') if atoms.has('tags'): tags = atoms.get_tags() else: tags = None if atoms.has('masses'): masses = atoms.get_masses() else: masses = None d = {'version': 3, 'pbc': atoms.get_pbc(), 'numbers': atoms.get_atomic_numbers(), 'tags': tags, 'masses': masses, 'constraints': [], # backwards compatibility 'constraints_string': pickle.dumps(atoms.constraints)} pickle.dump(d, self.fd, protocol=-1) self.header_written = True self.offsets.append(self.fd.tell()) # Atomic numbers and periodic boundary conditions are only # written once - in the header. Store them here so that we can # check that they are the same for all images: self.numbers = atoms.get_atomic_numbers() self.pbc = atoms.get_pbc() def close(self): """Close the trajectory file.""" self.fd.close() def __getitem__(self, i=-1): if isinstance(i, slice): return [self[j] for j in range(*i.indices(len(self)))] N = len(self.offsets) if 0 <= i < N: self.fd.seek(self.offsets[i]) try: d = pickle.load(self.fd) except EOFError: raise IndexError if i == N - 1: self.offsets.append(self.fd.tell()) try: magmoms = d['magmoms'] except KeyError: magmoms = None atoms = Atoms(positions=d['positions'], numbers=self.numbers, cell=d['cell'], momenta=d['momenta'], magmoms=magmoms, tags=self.tags, masses=self.masses, pbc=self.pbc, info=unstringnify_info(d.get('info', {})), constraint=[c.copy() for c in self.constraints]) if 'energy' in d: calc = SinglePointCalculator( d.get('energy', None), d.get('forces', None), d.get('stress', None), magmoms, atoms) atoms.set_calculator(calc) return atoms if i >= N: for j in range(N - 1, i + 1): atoms = self[j] return atoms i = len(self) + i if i < 0: raise IndexError('Trajectory index out of range.') return self[i] def __len__(self): if len(self.offsets) == 0: return 0 N = len(self.offsets) - 1 while True: self.fd.seek(self.offsets[N]) try: pickle.load(self.fd) except EOFError: return N self.offsets.append(self.fd.tell()) N += 1 def __iter__(self): del self.offsets[1:] return self def next(self): try: return self[len(self.offsets) - 1] except IndexError: raise StopIteration def guess_offsets(self): size = os.path.getsize(self.fd.name) while True: self.fd.seek(self.offsets[-1]) try: pickle.load(self.fd) except: raise EOFError('Damaged trajectory file.') else: self.offsets.append(self.fd.tell()) if self.offsets[-1] >= size: break if len(self.offsets) > 2: step1 = self.offsets[-1] - self.offsets[-2] step2 = self.offsets[-2] - self.offsets[-3] if step1 == step2: m = int((size - self.offsets[-1]) / step1) - 1 while m > 1: self.fd.seek(self.offsets[-1] + m * step1) try: pickle.load(self.fd) except: m = m / 2 else: for i in range(m): self.offsets.append(self.offsets[-1] + step1) m = 0 def pre_write_attach(self, function, interval=1, *args, **kwargs): """Attach a function to be called before writing begins. function: The function or callable object to be called. interval: How often the function is called. Default: every time (1). All other arguments are stored, and passed to the function. """ if not callable(function): raise ValueError('Callback object must be callable.') self.pre_observers.append((function, interval, args, kwargs)) def post_write_attach(self, function, interval=1, *args, **kwargs): """Attach a function to be called after writing ends. function: The function or callable object to be called. interval: How often the function is called. Default: every time (1). All other arguments are stored, and passed to the function. """ if not callable(function): raise ValueError('Callback object must be callable.') self.post_observers.append((function, interval, args, kwargs)) def _call_observers(self, obs): """Call pre/post write observers.""" for function, interval, args, kwargs in obs: if self.write_counter % interval == 0: function(*args, **kwargs) def stringnify_info(info): """Return a stringnified version of the dict *info* that is ensured to be picklable. Items with non-string keys or unpicklable values are dropped and a warning is issued.""" stringnified = {} for k, v in info.items(): if not isinstance(k, basestring): warnings.warn('Non-string info-dict key is not stored in ' + 'trajectory: ' + repr(k), UserWarning) continue try: # Should highest protocol be used here for efficiency? # Protocol 2 seems not to raise an exception when one # tries to pickle a file object, so by using that, we # might end up with file objects in inconsistent states. s = pickle.dumps(v) except: warnings.warn('Skipping not picklable info-dict item: ' + '"%s" (%s)' % (k, sys.exc_info()[1]), UserWarning) else: stringnified[k] = s return stringnified def unstringnify_info(stringnified): """Convert the dict *stringnified* to a dict with unstringnified objects and return it. Objects that cannot be unpickled will be skipped and a warning will be issued.""" info = {} for k, s in stringnified.items(): try: v = pickle.loads(s) except: warnings.warn('Skipping not unpicklable info-dict item: ' + '"%s" (%s)' % (k, sys.exc_info()[1]), UserWarning) else: info[k] = v return info def read_trajectory(filename, index=-1): traj = PickleTrajectory(filename, mode='r') if isinstance(index, int): return traj[index] else: # Here, we try to read only the configurations we need to read # and len(traj) should only be called if we need to as it will # read all configurations! # XXX there must be a simpler way? step = index.step or 1 if step > 0: start = index.start or 0 if start < 0: start += len(traj) stop = index.stop or len(traj) if stop < 0: stop += len(traj) else: if index.start is None: start = len(traj) - 1 else: start = index.start if start < 0: start += len(traj) if index.stop is None: stop = -1 else: stop = index.stop if stop < 0: stop += len(traj) return [traj[i] for i in range(start, stop, step)] def write_trajectory(filename, images): """Write image(s) to trajectory. Write also energy, forces, and stress if they are already calculated.""" traj = PickleTrajectory(filename, mode='w') if not isinstance(images, (list, tuple)): images = [images] for atoms in images: # Avoid potentially expensive calculations: calc = atoms.get_calculator() if calc is not None: if hasattr(calc, 'calculation_required'): if calc.calculation_required(atoms, ['energy']): traj.write_energy = False if calc.calculation_required(atoms, ['forces']): traj.write_forces = False if calc.calculation_required(atoms, ['stress']): traj.write_stress = False if calc.calculation_required(atoms, ['magmoms']): traj.write_magmoms = False else: traj.write_energy = False traj.write_forces = False traj.write_stress = False traj.write_magmoms = False traj.write(atoms) traj.close() def dict2constraints(d): """Convert dict unpickled from trajectory file to list of constraints.""" version = d.get('version', 1) if version == 1: return d['constraints'] elif version in (2, 3): try: return pickle.loads(d['constraints_string']) except (AttributeError, KeyError, EOFError): warnings.warn('Could not unpickle constraints!') return [] else: return [] def print_trajectory_info(filename): """Prints information about a PickleTrajectory file. Mainly intended to be called from a command line tool. """ f = open(filename) hdr = 'PickleTrajectory' x = f.read(len(hdr)) if x != hdr: raise ValueError('Not a PickleTrajectory file!') # Head header header = pickle.load(f) print('Header information of trajectory file %r:' % filename) print(' Version: %d' % header.get('version', 1)) print(' Boundary conditions: %s' % header['pbc']) print(' Atomic numbers: shape = %s, type = %s' % (header['numbers'].shape, header['numbers'].dtype)) if header.get('tags') is None: print(' Tags are absent.') else: print(' Tags: shape = %s, type = %s' % (header['tags'].shape, header['tags'].dtype)) if header.get('masses') is None: print(' Masses are absent.') else: print(' Masses: shape = %s, type = %s' % (header['masses'].shape, header['masses'].dtype)) constraints = dict2constraints(header) if constraints: print(' %d constraints are present.' % len(constraints)) else: print(' No constraints.') after_header = f.tell() # Read the first frame frame = pickle.load(f) print('Contents of first frame:') for k, v in frame.items(): if hasattr(v, 'shape'): print(' %s: shape = %s, type = %s' % (k, v.shape, v.dtype)) else: print(' %s: %s' % (k, v)) after_frame = f.tell() kB = 1024 MB = 1024 * kB GB = 1024 * MB framesize = after_frame - after_header if framesize >= GB: print('Frame size: %.2f GB' % (1.0 * framesize / GB)) elif framesize >= MB: print('Frame size: %.2f MB' % (1.0 * framesize / MB)) else: print('Frame size: %.2f kB' % (1.0 * framesize / kB)) # Print information about file size try: filesize = os.path.getsize(filename) except IOError: print('No information about the file size.') else: if filesize >= GB: print('File size: %.2f GB' % (1.0 * filesize / GB)) elif filesize >= MB: print('File size: %.2f MB' % (1.0 * filesize / MB)) else: print('File size: %.2f kB' % (1.0 * filesize / kB)) nframes = (filesize - after_header) // framesize offset = nframes * framesize + after_header - filesize if offset == 0: if nframes == 1: print('Trajectory contains 1 frame.') else: print('Trajectory contains %d frames.' % nframes) else: print('Trajectory appears to contain approximately %d frames,' % nframes) print('but the file size differs by %d bytes from the expected' % -offset) print('value.') python-ase-3.6.0.2515/ase/io/cif.py0000644000175400017540000002752311710516023015477 0ustar askhlaskhl"""Module to read and write atoms in cif file format. See http://www.iucr.org/resources/cif/spec/version1.1/cifsyntax for a description of the file format. STAR extensions as save frames, global blocks, nested loops and multi-data values are not supported. """ import shlex import re import numpy as np from ase.parallel import paropen from ase.lattice.spacegroup import crystal from ase.lattice.spacegroup.spacegroup import spacegroup_from_data def get_lineno(fileobj): """Returns the line number of current line in fileobj.""" pos = fileobj.tell() try: fileobj.seek(0) s = fileobj.read(pos) lineno = s.count('\n') finally: fileobj.seek(pos) return lineno def unread_line(fileobj): """Unread the last line read from *fileobj*.""" # If previous line ends with CRLF, we have to back up one extra # character before entering the loop below if fileobj.tell() > 2: fileobj.seek(-2, 1) if fileobj.read(2) == '\r\n': fileobj.seek(-1, 1) while True: if fileobj.tell() == 0: break fileobj.seek(-2, 1) if fileobj.read(1) in ('\n', '\r'): break def convert_value(value): """Convert CIF value string to corresponding python type.""" value = value.strip() if re.match('(".*")|(\'.*\')$', value): return value[1:-1] elif re.match(r'[+-]?\d+$', value): return int(value) elif re.match(r'[+-]?(?:\d+(?:\.\d*)?|\.\d+)(?:[eE][+-]?\d+)?$', value): return float(value) elif re.match(r'[+-]?(?:\d+(?:\.\d*)?|\.\d+)(?:[eE][+-]?\d+)?\(\d+\)$', value): return float(value[:value.index('(')]) # strip off uncertainties else: return value def parse_multiline_string(fileobj, line): """Parse semicolon-enclosed multiline string and return it.""" assert line[0] == ';' lines = [line[1:].lstrip()] while True: line = fileobj.readline().strip() if line == ';': break lines.append(line) return '\n'.join(lines).strip() def parse_singletag(fileobj, line): """Parse a CIF tag (entries starting with underscore). Returns a key-value pair.""" kv = line.split(None, 1) if len(kv) == 1: key = line line = fileobj.readline().strip() while not line or line[0] == '#': line = fileobj.readline().strip() if line[0] == ';': value = parse_multiline_string(fileobj, line) else: value = line else: key, value = kv return key, convert_value(value) def parse_loop(fileobj): """Parse a CIF loop. Returns a dict with column tag names as keys and a lists of the column content as values.""" header = [] line = fileobj.readline().strip() while line.startswith('_'): header.append(line.lower()) line = fileobj.readline().strip() columns = dict([(h, []) for h in header]) tokens = [] while True: lowerline = line.lower() if (not line or line.startswith('_') or lowerline.startswith('data_') or lowerline.startswith('loop_')): break if line.startswith('#'): line = fileobj.readline().strip() continue if line.startswith(';'): t = [parse_multiline_string(fileobj, line)] else: t = shlex.split(line) line = fileobj.readline().strip() tokens.extend(t) if len(tokens) < len(columns): continue assert len(tokens) == len(header) for h, t in zip(header, tokens): columns[h].append(convert_value(t)) tokens = [] if line: unread_line(fileobj) return columns def parse_items(fileobj, line): """Parse a CIF data items and return a dict with all tags.""" tags = {} while True: line = fileobj.readline() if not line: break line = line.strip() lowerline = line.lower() if not line or line.startswith('#'): continue elif line.startswith('_'): key, value = parse_singletag(fileobj, line) tags[key.lower()] = value elif lowerline.startswith('loop_'): tags.update(parse_loop(fileobj)) elif lowerline.startswith('data_'): unread_line(fileobj) break elif line.startswith(';'): temp = parse_multiline_string(fileobj, line) else: raise ValueError('%s:%d: Unexpected CIF file entry: "%s"'%( fileobj.name, get_lineno(fileobj), line)) return tags def parse_block(fileobj, line): """Parse a CIF data block and return a tuple with the block name and a dict with all tags.""" assert line.lower().startswith('data_') blockname = line.split('_', 1)[1].rstrip() tags = parse_items(fileobj, line) return blockname, tags def parse_cif(fileobj): """Parse a CIF file. Returns a list of blockname and tag pairs. All tag names are converted to lower case.""" if isinstance(fileobj, basestring): fileobj = open(fileobj) blocks = [] while True: line = fileobj.readline() if not line: break line = line.strip() if not line or line.startswith('#'): continue blocks.append(parse_block(fileobj, line)) return blocks def tags2atoms(tags, store_tags=False, **kwargs): """Returns an Atoms object from a cif tags dictionary. If *store_tags* is true, the *info* attribute of the returned Atoms object will be populated with all the cif tags. Keyword arguments are passed to the Atoms constructor.""" a = tags['_cell_length_a'] b = tags['_cell_length_b'] c = tags['_cell_length_c'] alpha = tags['_cell_angle_alpha'] beta = tags['_cell_angle_beta'] gamma = tags['_cell_angle_gamma'] scaled_positions = np.array([tags['_atom_site_fract_x'], tags['_atom_site_fract_y'], tags['_atom_site_fract_z']]).T symbols = [] if '_atom_site_type_symbol' in tags: labels = tags['_atom_site_type_symbol'] else: labels = tags['_atom_site_label'] for s in labels: # Strip off additional labeling on chemical symbols m = re.search(r'([A-Z][a-z]?)', s) symbol = m.group(0) symbols.append(symbol) # Symmetry specification, see # http://www.iucr.org/resources/cif/dictionaries/cif_sym for a # complete list of official keys. In addition we also try to # support some commonly used depricated notations no = None if '_space_group.it_number' in tags: no = tags['_space_group.it_number'] elif '_space_group_it_number' in tags: no = tags['_space_group_it_number'] elif '_symmetry_int_tables_number' in tags: no = tags['_symmetry_int_tables_number'] symbolHM = None if '_space_group.Patterson_name_h-m' in tags: symbolHM = tags['_space_group.patterson_name_h-m'] elif '_symmetry_space_group_name_h-m' in tags: symbolHM = tags['_symmetry_space_group_name_h-m'] sitesym = None if '_space_group_symop.operation_xyz' in tags: sitesym = tags['_space_group_symop.operation_xyz'] elif '_symmetry_equiv_pos_as_xyz' in tags: sitesym = tags['_symmetry_equiv_pos_as_xyz'] spacegroup = 1 if sitesym is not None: spacegroup = spacegroup_from_data(no=no, symbol=symbolHM, sitesym=sitesym) elif no is not None: spacegroup = no elif symbolHM is not None: spacegroup = symbolHM else: spacegroup = 1 if store_tags: info = tags.copy() if 'info' in kwargs: info.update(kwargs['info']) kwargs['info'] = info atoms = crystal(symbols, basis=scaled_positions, cellpar=[a, b, c, alpha, beta, gamma], spacegroup=spacegroup, **kwargs) return atoms def read_cif(fileobj, index=-1, store_tags=False, **kwargs): """Read Atoms object from CIF file. *index* specifies the data block number or name (if string) to return. If *index* is None or a slice object, a list of atoms objects will be returned. In the case of *index* is *None* or *slice(None)*, only blocks with valid crystal data will be included. If *store_tags* is true, the *info* attribute of the returned Atoms object will be populated with all tags in the corresponding cif data block. Keyword arguments are passed on to the Atoms constructor.""" blocks = parse_cif(fileobj) if isinstance(index, str): tags = dict(blocks)[index] return tags2atoms(tags, **kwargs) elif isinstance(index, int): name, tags = blocks[index] return tags2atoms(tags, **kwargs) elif index is None or index == slice(None): # Return all CIF blocks with valid crystal data images = [] for name, tags in blocks: try: atoms = tags2atoms(tags) images.append(atoms) except KeyError: pass if not images: # No block contained a a valid atoms object # Provide an useful error by try converting the first # block to atoms name, tags = blocks[0] tags2atoms(tags) return images else: return [tags2atoms(tags) for name, tags in blocks[index]] def write_cif(fileobj, images): """Write *images* to CIF file.""" if isinstance(fileobj, str): fileobj = paropen(fileobj, 'w') if not isinstance(images, (list, tuple)): images = [images] for i, atoms in enumerate(images): fileobj.write('data_image%d\n' % i) from numpy import arccos, pi, dot from numpy.linalg import norm cell = atoms.cell a = norm(cell[0]) b = norm(cell[1]) c = norm(cell[2]) alpha = arccos(dot(cell[1], cell[2])/(b*c))*180./pi beta = arccos(dot(cell[0], cell[2])/(a*c))*180./pi gamma = arccos(dot(cell[0], cell[1])/(a*b))*180./pi fileobj.write('_cell_length_a %g\n' % a) fileobj.write('_cell_length_b %g\n' % b) fileobj.write('_cell_length_c %g\n' % c) fileobj.write('_cell_angle_alpha %g\n' % alpha) fileobj.write('_cell_angle_beta %g\n' % beta) fileobj.write('_cell_angle_gamma %g\n' % gamma) fileobj.write('\n') if atoms.pbc.all(): fileobj.write('_symmetry_space_group_name_H-M %s\n' % 'P 1') fileobj.write('_symmetry_int_tables_number %d\n' % 1) fileobj.write('\n') fileobj.write('loop_\n') fileobj.write(' _symmetry_equiv_pos_as_xyz\n') fileobj.write(" 'x, y, z'\n") fileobj.write('\n') fileobj.write('loop_\n') fileobj.write(' _atom_site_label\n') fileobj.write(' _atom_site_occupancy\n') fileobj.write(' _atom_site_fract_x\n') fileobj.write(' _atom_site_fract_y\n') fileobj.write(' _atom_site_fract_z\n') fileobj.write(' _atom_site_thermal_displace_type\n') fileobj.write(' _atom_site_B_iso_or_equiv\n') fileobj.write(' _atom_site_type_symbol\n') scaled = atoms.get_scaled_positions() no = {} for i, atom in enumerate(atoms): symbol = atom.symbol if symbol in no: no[symbol] += 1 else: no[symbol] = 1 fileobj.write( ' %-8s %6.4f %7.5f %7.5f %7.5f %4s %6.3f %s\n'%( '%s%d' % (symbol, no[symbol]), 1.0, scaled[i][0], scaled[i][1], scaled[i][2], 'Biso', 1.0, symbol)) python-ase-3.6.0.2515/ase/io/v_sim.py0000644000175400017540000000462111656024552016057 0ustar askhlaskhl""" This module contains functionality for reading an ASE Atoms object in V_Sim ascii format. """ import os def read_v_sim(filename='demo.ascii'): """Import V_Sim input file. Reads cell, atom positions, etc. from v_sim ascii file """ from ase import Atoms, units from ase.lattice.spacegroup import cell import re if isinstance(filename, str): f = open(filename) else: # Assume it's a file-like object f = filename comment = f.readline() line = f.readline() + ' ' + f.readline() box = line.split() for i in range(len(box)): box[i] = float(box[i]) keywords = [] positions= [] symbols = [] unit = 1.0 re_comment = re.compile('^\s*[#!]') re_node = re.compile('^\s*\S+\s+\S+\s+\S+\s+\S+') while(True): line = f.readline() if line == '': break # EOF p = re_comment.match(line) if p != None: # remove comment character at the beginning of line line = line[p.end():].replace(',', ' ').lower() if line[:8] == "keyword:": keywords.extend(line[8:].split()) elif(re_node.match(line)): unit = 1.0 if not ("reduced" in keywords) : if ("bohr" in keywords) or ("bohrd0" in keywords) or ("atomic" in keywords) or ("atomicd0" in keywords): unit = units.Bohr fields = line.split() positions.append([unit*float(fields[0]), unit*float(fields[1]), unit*float(fields[2])]) symbols.append(fields[3]) f.close() if ("surface" in keywords) or ("freeBC" in keywords): raise NotImplementedError # create atoms object based on the information if ("angdeg" in keywords) : cell = cellpar_to_cell(box) else: unit = 1.0 if ("bohr" in keywords) or ("bohrd0" in keywords) or ("atomic" in keywords) or ("atomicd0" in keywords): unit = units.Bohr cell = [[unit*box[0], 0.0, 0.0], [unit*box[1], unit*box[2], 0.0], [unit*box[3], unit*box[4], unit*box[5]]] if ("reduced" in keywords) : atoms = Atoms(cell=cell, scaled_positions=positions) else : atoms = Atoms(cell=cell, positions=positions) atoms.set_chemical_symbols(symbols) return atoms python-ase-3.6.0.2515/ase/io/abinit.py0000644000175400017540000001242311656043534016210 0ustar askhlaskhl""" This module contains functionality for reading an ASE Atoms object in ABINIT input format. """ import os def read_abinit(filename='abinit.in'): """Import ABINIT input file. Reads cell, atom positions, etc. from abinit input file """ from ase import Atoms, units if isinstance(filename, str): f = open(filename) else: # Assume it's a file-like object f = filename lines = f.readlines() if type(filename) == str: f.close() full_file = '' for line in lines: if '#' in line: meat, comment = line.split('#') else: meat = line full_file = full_file + meat + ' ' full_file.strip() tokens = full_file.lower().split() # note that the file can not be scanned sequentially index = tokens.index("acell") unit = 1.0 if(tokens[index+4].lower()[:3] != 'ang'): unit = units.Bohr acell = [unit*float(tokens[index+1]), unit*float(tokens[index+2]), unit*float(tokens[index+3])] index = tokens.index("natom") natom = int(tokens[index+1]) index = tokens.index("ntypat") ntypat = int(tokens[index+1]) index = tokens.index("typat") typat = [] for i in range(natom): typat.append(int(tokens[index+1+i])) index = tokens.index("znucl") znucl = [] for i in range(ntypat): znucl.append(int(tokens[index+1+i])) index = tokens.index("rprim") rprim = [] for i in range(3): rprim.append([acell[i]*float(tokens[index+3*i+1]), acell[i]*float(tokens[index+3*i+2]), acell[i]*float(tokens[index+3*i+3])]) # create a list with the atomic numbers numbers = [] for i in range(natom): ii = typat[i] - 1 numbers.append(znucl[ii]) # now the positions of the atoms if "xred" in tokens: index = tokens.index("xred") xred = [] for i in range(natom): xred.append([float(tokens[index+3*i+1]), float(tokens[index+3*i+2]), float(tokens[index+3*i+3])]) atoms = Atoms(cell=rprim, scaled_positions=xred, numbers=numbers) return atoms index = None if "xcart" in tokens: index = tokens.index("xcart") unit = units.Bohr elif "xangs" in tokens: unit = 1.0 index = tokens.index("xangs") if(index != None): xangs = [] for i in range(natom): xangs.append([unit*float(tokens[index+3*i+1]), unit*float(tokens[index+3*i+2]), unit*float(tokens[index+3*i+3])]) atoms = Atoms(cell=rprim, positions=xangs, numbers=numbers) return atoms raise IOError("No xred, xcart, or xangs keyword in abinit input file") def write_abinit(filename, atoms, cartesian=False, long_format=True): """Method to write abinit input files.""" import numpy as np from ase import Atoms, data if isinstance(filename, str): f = open(filename, 'w') else: # Assume it's a 'file-like object' f = filename if isinstance(atoms, (list, tuple)): if len(atoms) > 1: raise RuntimeError("Don't know how to save more than "+ "one image to input") else: atoms = atoms[0] # Write atom positions in scaled or cartesian coordinates if cartesian: coord = atoms.get_positions() else: coord = atoms.get_scaled_positions() # let us order the atoms according to chemical symbol ind = np.argsort(atoms.get_chemical_symbols()) symbols = np.array(atoms.get_chemical_symbols())[ind] coord = coord[ind] # and now we count how many atoms of which type we have sc = [] psym = symbols[0] count = 0 for sym in symbols: if sym != psym: sc.append((psym, count)) psym = sym count = 1 else: count += 1 sc.append((psym, count)) f.write('\n# Definition of the atom types\n') f.write("ntypat " + str(len(sc)) + "\n") f.write("znucl ") for specie in sc: f.write(str(data.atomic_numbers[specie[0]]) + " ") f.write('\n') f.write('\n# Definition of the atoms\n') f.write('natom ' + str(len(symbols)) + '\n') f.write('typat ') typat = 1 for specie in sc: for natom in range(specie[1]): f.write(str(typat) + ' ') typat = typat + 1 f.write('\n') f.write('\n# Definition of the unit cell\n') f.write('acell\n') f.write('%.14f %.14f %.14f Angstrom\n' % (1.0, 1.0, 1.0)) f.write('\n') f.write('rprim\n') if long_format: latt_form = ' %21.16f' else: latt_form = ' %11.6f' for vec in atoms.get_cell(): f.write(' ') for el in vec: f.write(latt_form % el) f.write('\n') f.write('\n') # Write atom positions in scaled or cartesian coordinates if cartesian: f.write('xangst\n') else: f.write('xred\n') if long_format: cform = ' %19.16f' else: cform = ' %9.6f' for iatom, atom in enumerate(coord): f.write(' ') for dcoord in atom: f.write(cform % dcoord) f.write('\n') if type(filename) == str: f.close() python-ase-3.6.0.2515/ase/io/lammps.py0000644000175400017540000000737211664651351016243 0ustar askhlaskhlfrom ase.atoms import Atoms from ase.quaternions import Quaternions from ase.parallel import paropen def read_lammps_dump(fileobj, index=-1): """Method which reads a LAMMPS dump file.""" if isinstance(fileobj, str): f = paropen(fileobj) else: f = fileobj # load everything into memory lines = f.readlines() natoms = 0 images = [] while len(lines) > natoms: line = lines.pop(0) if 'ITEM: TIMESTEP' in line: n_atoms = 0 lo = [] ; hi = [] ; tilt = [] id = [] ; type = [] positions = [] velocities = [] forces = [] quaternions = [] if 'ITEM: NUMBER OF ATOMS' in line: line = lines.pop(0) natoms = int(line.split()[0]) if 'ITEM: BOX BOUNDS' in line: # save labels behind "ITEM: BOX BOUNDS" in triclinic case (>=lammps-7Jul09) tilt_items = line.split()[3:] for i in range(3): line = lines.pop(0) fields = line.split() lo.append(float(fields[0])) hi.append(float(fields[1])) if (len(fields) >= 3): tilt.append(float(fields[2])) # determine cell tilt (triclinic case!) if (len(tilt) >= 3): # for >=lammps-7Jul09 use labels behind "ITEM: BOX BOUNDS" to assign tilt (vector) elements ... if (len(tilt_items) >= 3): xy = tilt[tilt_items.index('xy')] xz = tilt[tilt_items.index('xz')] yz = tilt[tilt_items.index('yz')] # ... otherwise assume default order in 3rd column (if the latter was present) else: xy = tilt[0] xz = tilt[1] yz = tilt[2] else: xy = xz = yz = 0 xhilo = (hi[0] - lo[0]) - xy - xz yhilo = (hi[1] - lo[1]) - yz zhilo = (hi[2] - lo[2]) cell = [[xhilo,0,0],[xy,yhilo,0],[xz,yz,zhilo]] def add_quantity(fields, var, labels): for label in labels: if label not in atom_attributes: return var.append([float(fields[atom_attributes[label]]) for label in labels]) if 'ITEM: ATOMS' in line: # (reliably) identify values by labels behind "ITEM: ATOMS" - requires >=lammps-7Jul09 # create corresponding index dictionary before iterating over atoms to (hopefully) speed up lookups... atom_attributes = {} for (i, x) in enumerate(line.split()[2:]): atom_attributes[x] = i for n in range(natoms): line = lines.pop(0) fields = line.split() id.append( int(fields[atom_attributes['id']]) ) type.append( int(fields[atom_attributes['type']]) ) add_quantity(fields, positions, ['x', 'y', 'z']) add_quantity(fields, velocities, ['vx', 'vy', 'vz']) add_quantity(fields, forces, ['fx', 'fy', 'fz']) add_quantity(fields, quaternions, ['c_q[1]', 'c_q[2]', 'c_q[3]', 'c_q[4]']) if len(quaternions): images.append(Quaternions(symbols=type, positions=positions, cell=cell, quaternions=quaternions)) else: images.append(Atoms(symbols=type, positions=positions, cell=cell)) return images[index] python-ase-3.6.0.2515/ase/io/exciting.py0000644000175400017540000001076611666143273016566 0ustar askhlaskhl""" This is the Implementation of the exciting I/O Functions The functions are called with read write usunf the format "exi" The module depends on lxml http://codespeak.net/lxml/ """ from math import pi, cos, sin, sqrt, acos import numpy as np from ase.atoms import Atoms from ase.parallel import paropen from ase.units import Bohr def read_exciting(fileobj, index=-1): """Reads structure from exiting xml file. Parameters ---------- fileobj: file object File handle from which data should be read. Other parameters ---------------- index: integer -1 Not used in this implementation. """ from lxml import etree as ET #parse file into element tree doc = ET.parse(fileobj) root = doc.getroot() speciesnodes = root.find('structure').getiterator('species') symbols = [] positions = [] basevects = [] atoms = None #collect data from tree for speciesnode in speciesnodes: symbol = speciesnode.get('speciesfile').split('.')[0] natoms = speciesnode.getiterator('atom') for atom in natoms: x, y, z = atom.get('coord').split() positions.append([float(x), float(y), float(z)]) symbols.append(symbol) # scale unit cell accorting to scaling attributes if doc.xpath('//crystal/@scale'): scale = float(str(doc.xpath('//crystal/@scale')[0])) else: scale = 1 if doc.xpath('//crystal/@stretch'): a, b, c = doc.xpath('//crystal/@scale')[0].split() stretch = np.array([float(a),float(b),float(c)]) else: stretch = np.array([1.0, 1.0, 1.0]) basevectsn = doc.xpath('//basevect/text()') for basevect in basevectsn: x, y, z = basevect.split() basevects.append(np.array([float(x) * Bohr * stretch[0], float(y) * Bohr * stretch[1], float(z) * Bohr * stretch[2] ]) * scale) atoms = Atoms(symbols=symbols, cell=basevects) atoms.set_scaled_positions(positions) if 'molecule' in root.find('structure').attrib.keys(): if root.find('structure').attrib['molecule']: atoms.set_pbc(False) else: atoms.set_pbc(True) return atoms def write_exciting(fileobj, images): """writes exciting input structure in XML Parameters ---------- fileobj : File object Filehandle to which data should be written images : Atom Object or List of Atoms objects This function will write the first Atoms object to file Returns ------- """ from lxml import etree as ET if isinstance(fileobj, str): fileobj = paropen(fileobj, 'w') root = atoms2etree(images) fileobj.write(ET.tostring(root, method='xml', pretty_print=True, xml_declaration=True, encoding='UTF-8')) def atoms2etree(images): """This function creates the XML DOM corresponding to the structure for use in write and calculator Parameters ---------- images : Atom Object or List of Atoms objects This function will create a Returns ------- root : etree object Element tree of exciting input file containing the structure """ from lxml import etree as ET if not isinstance(images, (list, tuple)): images = [images] root = ET.Element('input') title = ET.SubElement(root, 'title') title.text = '' structure = ET.SubElement(root, 'structure') crystal= ET.SubElement(structure, 'crystal') atoms = images[0] for vec in atoms.cell: basevect = ET.SubElement(crystal, 'basevect') basevect.text = '%.14f %.14f %.14f' % tuple(vec / Bohr) species = {} symbols = [] for aindex, symbol in enumerate(atoms.get_chemical_symbols()): if symbol in species: species[symbol].append(aindex) else: species[symbol] = [aindex] symbols.append(symbol) scaled = atoms.get_scaled_positions() for symbol in symbols: speciesnode = ET.SubElement(structure, 'species', speciesfile='%s.xml' % symbol, chemicalSymbol=symbol) for a in species[symbol]: atom = ET.SubElement(speciesnode, 'atom', coord='%.14f %.14f %.14f' % tuple(scaled[a])) return root python-ase-3.6.0.2515/ase/io/cfg.py0000644000175400017540000001504711576407474015516 0ustar askhlaskhlimport numpy as np import ase from ase.parallel import paropen cfg_default_fields = np.array( [ 'positions', 'momenta', 'numbers', 'magmoms' ] ) def write_cfg(f, a): """Write atomic configuration to a CFG-file (native AtomEye format). See: http://mt.seas.upenn.edu/Archive/Graphics/A/ """ if isinstance(f, str): f = paropen(f, 'w') f.write('Number of particles = %i\n' % len(a)) f.write('A = 1.0 Angstrom\n') cell = a.get_cell() for i in range(3): for j in range(3): f.write('H0(%1.1i,%1.1i) = %f A\n' % ( i + 1, j + 1, cell[i, j] )) entry_count = 3 for x in a.arrays.keys(): if not x in cfg_default_fields: if len(a.get_array(x).shape) == 1: entry_count += 1 else: entry_count += a.get_array(x).shape[1] vels = a.get_velocities() if type(vels) == np.ndarray: entry_count += 3 else: f.write('.NO_VELOCITY.\n') f.write('entry_count = %i\n' % entry_count) i = 0 for name, aux in a.arrays.iteritems(): if not name in cfg_default_fields: if len(aux.shape) == 1: f.write('auxiliary[%i] = %s [a.u.]\n' % ( i, name )) i += 1 else: for j in range(aux.shape[1]): f.write('auxiliary[%i] = %s_%1.1i [a.u.]\n' % ( i, name, j )) i += 1 # Distinct elements spos = a.get_scaled_positions() for i in a: el = i.symbol f.write('%f\n' % ase.data.atomic_masses[ase.data.chemical_symbols.index(el)]) f.write('%s\n' % el) x, y, z = spos[i.index, :] s = '%e %e %e ' % ( x, y, z ) if type(vels) == np.ndarray: vx, vy, vz = vels[i.index, :] s = s + ' %e %e %e ' % ( vx, vy, vz ) for name, aux in a.arrays.iteritems(): if not name in cfg_default_fields: if len(aux.shape) == 1: s += ' %e' % aux[i.index] else: s += ( aux.shape[1]*' %e' ) % tuple(aux[i.index].tolist()) f.write('%s\n' % s) default_color = { 'H': [ 0.800, 0.800, 0.800 ], 'C': [ 0.350, 0.350, 0.350 ], 'O': [ 0.800, 0.200, 0.200 ] } default_radius = { 'H': 0.435, 'C': 0.655, 'O': 0.730 } def write_clr(f, atoms): """Write extra color and radius code to a CLR-file (for use with AtomEye). Hit F12 in AtomEye to use. See: http://mt.seas.upenn.edu/Archive/Graphics/A/ """ color = None radius = None if atoms.has('color'): color = atoms.get_array('color') if atoms.has('radius'): radius = atoms.get_array('radius') if color is None: color = np.zeros([len(atoms),3], dtype=float) for a in atoms: color[a.index, :] = default_color[a.symbol] if radius is None: radius = np.zeros(len(atoms), dtype=float) for a in atoms: radius[a.index] = default_radius[a.symbol] radius.shape = (-1, 1) if isinstance(f, str): f = paropen(f, 'w') for c1, c2, c3, r in np.append(color, radius, axis=1): f.write('%f %f %f %f\n' % ( c1, c2, c3, r )) ### def read_key_val(f): if isinstance(f, str): l = f else: l = f.readline() s = l.split('=') if len(s) != 2: raise RuntimeError("Line '%s' is not of the form 'key = value'." % l[:-1]) return ( s[0].strip(), s[1].strip() ) def read_str_key(f, key, key2=None): in_key, val = read_key_val(f) if key2 is None: if key.upper() != in_key.upper(): raise RuntimeError("Key '%s' expected, '%s' found." % ( key, in_key )) else: if key.upper() != in_key.upper() and key2.upper() != in_key.upper(): raise RuntimeError("Key '%s' or '%s' expected, '%s' found." % ( key, key2, in_key )) return val def read_int_key(f, key): vals = read_str_key(f, key).split() # Ignore units return int(vals[0]) def read_float_key(f, key): vals = read_str_key(f, key).split() # Ignore units return float(vals[0]) ### def read_cfg(f): """Read atomic configuration from a CFG-file (native AtomEye format). See: http://mt.seas.upenn.edu/Archive/Graphics/A/ """ if isinstance(f, str): f = open(f) nat = read_int_key(f, 'Number of particles') unit = read_float_key(f, 'A') cell = np.zeros( [ 3, 3 ] ) for i in range(3): for j in range(3): cell[i, j] = read_float_key(f, 'H0(%1.1i,%1.1i)' % (i + 1, j + 1)) l = f.readline() vels = None if l.strip() == '.NO_VELOCITY.': l = f.readline() else: vels = np.zeros( [ nat, 3 ] ) naux = read_int_key(l, 'entry_count') - 3 if vels is not None: naux -= 3 aux = np.zeros( [ nat, naux ] ) auxstrs = [ ] for i in range(naux): s = read_str_key(f, 'auxiliary[%1.1i]' % i, 'auxiliary[%2.2i]' % i) auxstrs += [ s[:s.find('[')].strip() ] spos = np.zeros( [ nat, 3 ] ) masses = np.zeros( nat ) syms = [ '' for i in range(nat) ] i = 0 s = f.readline().split() while l: mass = float(s[0]) sym = f.readline().strip() l = f.readline() s = l.split() while l and len(s) > 1: masses[i] = mass syms[i] = sym props = [ float(x) for x in s ] spos[i, :] = props[0:3] off = 3 if vels is not None: off = 6 vels[i, :] = props[3:6] aux[i, :] = props[off:] i += 1 l = f.readline() if l: s = l.split() if vels is None: a = ase.Atoms( symbols = syms, masses = masses, scaled_positions = spos, cell = cell, pbc = True ) else: a = ase.Atoms( symbols = syms, masses = masses, scaled_positions = spos, momenta = masses.reshape(-1,1)*vels, cell = cell, pbc = True ) i = 0 while i < naux: auxstr = auxstrs[i] if auxstr[-2:] == '_x': a.set_array(auxstr[:-2], aux[:, i:i+3]) i += 3 else: a.set_array(auxstr, aux[:, i]) i += 1 return a python-ase-3.6.0.2515/ase/io/dftb.py0000644000175400017540000000744511462015141015655 0ustar askhlaskhlfrom ase.atoms import Atoms def read_dftb(filename='dftb_in.hsd'): """Method to read coordinates form DFTB+ input file dftb_in.hsd additionally read information about fixed atoms and periodic boundary condition """ from ase import Atoms if isinstance(filename, str): myfile = open(filename) lines = myfile.readlines() atoms_pos = [] atom_symbols = [] type_names = [] my_pbc = False mycell = [] for iline, line in enumerate(lines): if (line.strip().startswith('#')): pass else: if ('TypeNames' in line): col = line.split() for i in range(3, len(col)-1): type_names.append(col[i].strip("\"")) elif ('Periodic' in line): if ('Yes' in line): my_pbc = True elif ('LatticeVectors' in line): for imycell in range(3): extraline = lines[iline+imycell+1] cols = extraline.split() mycell.append(\ [float(cols[0]),float(cols[1]),float(cols[2])]) else: pass start_reading_coords = False stop_reading_coords = False for line in lines: if (line.strip().startswith('#')): pass else: if ('TypesAndCoordinates' in line): start_reading_coords = True if start_reading_coords: if ('}' in line): stop_reading_coords = True if (start_reading_coords and not(stop_reading_coords) and not 'TypesAndCoordinates' in line): typeindexstr, xxx, yyy, zzz = line.split()[:4] typeindex = int(typeindexstr) symbol = type_names[typeindex-1] atom_symbols.append(symbol) atoms_pos.append([float(xxx), float(yyy), float(zzz)]) if type(filename) == str: myfile.close() atoms = Atoms(positions = atoms_pos, symbols = atom_symbols, cell = mycell, pbc = my_pbc) return atoms def write_dftb(filename, atoms): """Method to write atom structure in DFTB+ format (gen format) """ import numpy as np #sort atoms.set_masses() masses = atoms.get_masses() indexes = np.argsort(masses) atomsnew = Atoms() for i in indexes: atomsnew = atomsnew + atoms[i] if isinstance(filename, str): myfile = open(filename, 'w') else: # Assume it's a 'file-like object' myfile = filename ispbc = atoms.get_pbc() box = atoms.get_cell() if (any(ispbc)): myfile.write('%8d %2s \n' %(len(atoms), 'S')) else: myfile.write('%8d %2s \n' %(len(atoms), 'C')) chemsym = atomsnew.get_chemical_symbols() allchem = '' for i in chemsym: if i not in allchem: allchem = allchem + i + ' ' myfile.write(allchem+' \n') coords = atomsnew.get_positions() itype = 1 for iatom, coord in enumerate(coords): if iatom > 0: if chemsym[iatom] != chemsym[iatom-1]: itype = itype+1 myfile.write('%5i%5i %19.16f %19.16f %19.16f \n' \ %(iatom+1, itype, coords[iatom][0], coords[iatom][1], coords[iatom][2])) # write box if (any(ispbc)): #dftb dummy myfile.write(' %19.16f %19.16f %19.16f \n' %(0, 0, 0)) myfile.write(' %19.16f %19.16f %19.16f \n' %( box[0][0], box[0][1], box[0][2])) myfile.write(' %19.16f %19.16f %19.16f \n' %( box[1][0], box[1][1], box[1][2])) myfile.write(' %19.16f %19.16f %19.16f \n' %( box[2][0], box[2][1], box[2][2])) if type(filename) == str: myfile.close() python-ase-3.6.0.2515/ase/io/cmdft.py0000644000175400017540000000121511222662616016031 0ustar askhlaskhlfrom math import pi, cos, sin, sqrt, acos import numpy as np from ase.atom import Atom from ase.atoms import Atoms from ase.parallel import paropen from ase.units import Bohr def read_I_info(fileobj, index=-1): if isinstance(fileobj, str): fileobj = open(fileobj) lines = fileobj.readlines() del lines[0] finished = False s = Atoms() while not finished: w = lines.pop(0).split() if w[0].startswith('"'): position = Bohr * np.array([float(w[3]), float(w[4]), float(w[5])]) s.append(Atom(w[0].replace('"',''), position)) else: finished = True return s python-ase-3.6.0.2515/ase/io/vtkxml.py0000644000175400017540000001233111207220276016255 0ustar askhlaskhlimport numpy as np #from Numeric import asarray as Numeric_asarray #from ase.units import Bohr #from ase.parallel import paropen fast = False # ------------------------------------------------------------------- from vtk import vtkStructuredPoints, vtkDoubleArray, vtkXMLImageDataWriter def write_vti(filename, atoms, data): #if isinstance(fileobj, str): # fileobj = paropen(fileobj, 'w') if isinstance(atoms, list): if len(atoms) > 1: raise ValueError('Can only write one configuration to a VTI file!') atoms = atoms[0] if data is None: raise ValueError('VTK XML Image Data (VTI) format requires data!') data = np.asarray(data) if data.dtype == complex: data = np.abs(data) cell = atoms.get_cell() assert np.all(cell==np.diag(cell.diagonal())), 'Unit cell must be orthogonal' bbox = np.array(zip(np.zeros(3),cell.diagonal())).ravel() # Create a VTK grid of structured points spts = vtkStructuredPoints() spts.SetWholeBoundingBox(bbox) spts.SetDimensions(data.shape) spts.SetSpacing(cell.diagonal() / data.shape) #spts.SetSpacing(paw.gd.h_c * Bohr) #print 'paw.gd.h_c * Bohr=',paw.gd.h_c * Bohr #print 'atoms.cell.diagonal() / data.shape=', cell.diagonal()/data.shape #assert np.all(paw.gd.h_c * Bohr==cell.diagonal()/data.shape) #s = paw.wfs.kpt_u[0].psit_nG[0].copy() #data = paw.get_pseudo_wave_function(band=0, kpt=0, spin=0, pad=False) #spts.point_data.scalars = data.swapaxes(0,2).flatten() #spts.point_data.scalars.name = 'scalars' # Allocate a VTK array of type double and copy data da = vtkDoubleArray() da.SetName('scalars') da.SetNumberOfComponents(1) da.SetNumberOfTuples(np.prod(data.shape)) for i,d in enumerate(data.swapaxes(0,2).flatten()): da.SetTuple1(i,d) # Assign the VTK array as point data of the grid spd = spts.GetPointData() # type(spd) is vtkPointData spd.SetScalars(da) """ from vtk.util.vtkImageImportFromArray import vtkImageImportFromArray iia = vtkImageImportFromArray() #iia.SetArray(Numeric_asarray(data.swapaxes(0,2).flatten())) iia.SetArray(Numeric_asarray(data)) ida = iia.GetOutput() ipd = ida.GetPointData() ipd.SetName('scalars') spd.SetScalars(ipd.GetScalars()) """ # Save the ImageData dataset to a VTK XML file. w = vtkXMLImageDataWriter() if fast: w.SetDataModeToAppend() w.EncodeAppendedDataOff() else: w.SetDataModeToAscii() w.SetFileName(filename) w.SetInput(spts) w.Write() # ------------------------------------------------------------------- from vtk import vtkStructuredGrid, vtkPoints, vtkXMLStructuredGridWriter def write_vts(filename, atoms, data=None): raise NotImplementedError # ------------------------------------------------------------------- from vtk import vtkUnstructuredGrid, vtkPoints, vtkXMLUnstructuredGridWriter def write_vtu(filename, atoms, data=None): #if isinstance(fileobj, str): # fileobj = paropen(fileobj, 'w') if isinstance(atoms, list): if len(atoms) > 1: raise ValueError('Can only write one configuration to a VTI file!') atoms = atoms[0] """ if data is None: raise ValueError('VTK XML Unstructured Grid (VTI) format requires data!') data = np.asarray(data) if data.dtype == complex: data = np.abs(data) """ cell = atoms.get_cell() assert np.all(cell==np.diag(cell.diagonal())), 'Unit cell must be orthogonal' #TODO bounding box with general unit cell?! bbox = np.array(zip(np.zeros(3),cell.diagonal())).ravel() # Create a VTK grid of structured points ugd = vtkUnstructuredGrid() ugd.SetWholeBoundingBox(bbox) """ # Allocate a VTK array of type double and copy data da = vtkDoubleArray() da.SetName('scalars') da.SetNumberOfComponents(3) da.SetNumberOfTuples(len(atoms)) for i,pos in enumerate(atoms.get_positions()): da.SetTuple3(i,pos[0],pos[1],pos[2]) """ p = vtkPoints() p.SetNumberOfPoints(len(atoms)) p.SetDataTypeToDouble() for i,pos in enumerate(atoms.get_positions()): p.InsertPoint(i,pos[0],pos[1],pos[2]) ugd.SetPoints(p) # Assign the VTK array as point data of the grid #upd = ugd.GetPointData() # type(spd) is vtkPointData #upd.SetScalars(da) # Save the UnstructuredGrid dataset to a VTK XML file. w = vtkXMLUnstructuredGridWriter() if fast: w.SetDataModeToAppend() w.EncodeAppendedDataOff() else: w.GetCompressor().SetCompressionLevel(0) w.SetDataModeToAscii() w.SetFileName(filename) w.SetInput(ugd) w.Write() # ------------------------------------------------------------------- def read_vti(filename): raise NotImplementedError def read_vts(filename): raise NotImplementedError def read_vtu(filename): raise NotImplementedError # ------------------------------------------------------------------- from vtk import vtkXMLFileReadTester def probe_vtkxml(filename): """something...""" r = vtkXMLFileReadTester() r.SetFileName(filename) if r.TestReadFile(): return r.GetFileDataType() else: return None python-ase-3.6.0.2515/ase/io/gen.py0000644000175400017540000001115611551032771015510 0ustar askhlaskhl"""Extension to ASE: read and write structures in GEN format Refer to DFTB+ manual for GEN format description. Note: GEN format only supports single snapshot. """ from ase.atoms import Atoms from ase.parallel import paropen def read_gen(fileobj): """Read structure in GEN format (refer to DFTB+ manual). Multiple snapshot are not allowed. """ if isinstance(fileobj, str): fileobj = open(fileobj) image = Atoms() lines = fileobj.readlines() line = lines[0].split() natoms = int(line[0]) if line[1] == 'S': supercell = True elif line[1] == 'C': supercell = False else: raise IOError('Error in line #1: only C (Cluster) or S (Supercell) ' + 'are valid options') # Read atomic symbols line = lines[1].split() # Define a dictionary with symbols-id symboldict = dict() symbolid = 1 for symb in line: symboldict[symbolid] = symb symbolid += 1 # Read atoms (GEN format supports only single snapshot) del lines[:2] positions = [] symbols = [] for line in lines[:natoms]: dummy, symbolid, x, y, z = line.split()[:5] symbols.append(symboldict[int(symbolid)]) positions.append([float(x), float(y), float(z)]) image = Atoms(symbols=symbols, positions=positions) del lines[:natoms] # If Supercell, parse periodic vectors if not supercell: return image else: # Dummy line: line after atom positions is not uniquely defined # in gen implementations, and not necessary in DFTB package del lines[:1] image.set_pbc([True, True, True]) p = [] for i in range(3): x, y, z = lines[i].split()[:3] p.append([float(x), float(y), float(z)]) image.set_cell([(p[0][0], p[0][1], p[0][2]), (p[1][0], p[1][1], p[1][2]), (p[2][0], p[2][1], p[2][2])]) return image def write_gen(fileobj, images): """Write structure in GEN format (refer to DFTB+ manual). Multiple snapshots are not allowed. """ if isinstance(fileobj, str): fileobj = paropen(fileobj, 'w') if not isinstance(images, (list, tuple)): images = [images] # Images is kept in a list but a size > 0 is not allowed # as GEN format doesn't support multiple snapshots. # Images is used as a list for consistency with the other # output modules if len(images) != 1: raise ValueError('images contains more than one structure\n' + 'GEN format supports only single snapshot output') symbols = images[0].get_chemical_symbols() # Define a dictionary with symbols-id symboldict = dict() for sym in symbols: if not (sym in symboldict): symboldict[sym] = len(symboldict) + 1 # An ordered symbol list is needed as ordered dictionary # is just available in python 2.7 orderedsymbols = list(['null'] * len(symboldict.keys())) for sym in symboldict.keys(): orderedsymbols[symboldict[sym] - 1] = sym # Check whether the structure is periodic # GEN cannot describe periodicity in one or two direction, # a periodic structure is considered periodic in all the # directions. If your structure is not periodical in all # the directions, be sure you have set big periodicity # vectors in the non-periodic directions if images[0].pbc.any(): pb_flag = 'S' else: pb_flag = 'C' natoms = len(symbols) ind = 0 for atoms in images: fileobj.write('%d %-5s\n' % (natoms, pb_flag)) for s in orderedsymbols: fileobj.write('%-5s' % s) fileobj.write('\n') for sym, (x, y, z) in zip(symbols, atoms.get_positions()): ind += 1 symbolid = symboldict[sym] fileobj.write('%-6d %d %22.15f %22.15f %22.15f\n' % (ind, symbolid, x, y, z)) if images[0].pbc.any(): fileobj.write('%22.15f %22.15f %22.15f \n' % (0.0, 0.0, 0.0)) fileobj.write('%22.15f %22.15f %22.15f \n' % (images[0].get_cell()[0][0], images[0].get_cell()[0][1], images[0].get_cell()[0][2])) fileobj.write('%22.15f %22.15f %22.15f \n' % (images[0].get_cell()[1][0], images[0].get_cell()[1][1], images[0].get_cell()[1][2])) fileobj.write('%22.15f %22.15f %22.15f \n' % (images[0].get_cell()[2][0], images[0].get_cell()[2][1], images[0].get_cell()[2][2])) python-ase-3.6.0.2515/ase/io/pov.py0000644000175400017540000002434111543076326015550 0ustar askhlaskhl""" Module for povray file format support. See http://www.povray.org/ for details on the format. """ import os import numpy as np from ase.io.eps import EPS from ase.data import chemical_symbols from ase.constraints import FixAtoms def pa(array): """Povray array syntax""" return '<% 6.2f, % 6.2f, % 6.2f>' % tuple(array) def pc(array): """Povray color syntax""" if type(array) == str: return 'color ' + array if type(array) == float: return 'rgb <%.2f>*3' % array if len(array) == 3: return 'rgb <%.2f, %.2f, %.2f>' % tuple(array) if len(array) == 4: # filter return 'rgbf <%.2f, %.2f, %.2f, %.2f>' % tuple(array) if len(array) == 5: # filter and transmit return 'rgbft <%.2f, %.2f, %.2f, %.2f, %.2f>' % tuple(array) def get_bondpairs(atoms, radius=1.1): """Get all pairs of bonding atoms Return all pairs of atoms which are closer than radius times the sum of their respective covalent radii. The pairs are returned as tuples:: (a, b, (i1, i2, i3)) so that atoms a bonds to atom b displaced by the vector:: _ _ _ i c + i c + i c , 1 1 2 2 3 3 where c1, c2 and c3 are the unit cell vectors and i1, i2, i3 are integers.""" from ase.data import covalent_radii from ase.calculators.neighborlist import NeighborList cutoffs = radius * covalent_radii[atoms.numbers] nl = NeighborList(cutoffs=cutoffs, self_interaction=False) nl.update(atoms) bondpairs = [] for a in range(len(atoms)): indices, offsets = nl.get_neighbors(a) bondpairs.extend([(a, a2, offset) for a2, offset in zip(indices, offsets)]) return bondpairs class POVRAY(EPS): default_settings = { # x, y is the image plane, z is *out* of the screen 'display' : True, # Display while rendering 'pause' : True, # Pause when done rendering (only if display) 'transparent' : True, # Transparent background 'canvas_width' : None, # Width of canvas in pixels 'canvas_height' : None, # Height of canvas in pixels 'camera_dist' : 50., # Distance from camera to front atom 'image_plane' : None, # Distance from front atom to image plane 'camera_type' : 'orthographic', # perspective, ultra_wide_angle 'point_lights' : [], # [[loc1, color1], [loc2, color2],...] 'area_light' : [(2., 3., 40.), # location 'White', # color .7, .7, 3, 3], # width, height, Nlamps_x, Nlamps_y 'background' : 'White', # color 'textures' : None, # Length of atoms list of texture names 'celllinewidth' : 0.05, # Radius of the cylinders representing the cell 'bondlinewidth' : 0.10, # Radius of the cylinders representing the bonds 'bondatoms' : [], # [[atom1, atom2], ... ] pairs of bonding atoms 'exportconstraints' : False} # honour FixAtom requests and mark relevant atoms? def __init__(self, atoms, scale=1.0, **parameters): for k, v in self.default_settings.items(): setattr(self, k, parameters.pop(k, v)) EPS.__init__(self, atoms, scale=scale, **parameters) constr = atoms.constraints self.constrainatoms = [] for c in constr: if isinstance(c,FixAtoms): for n,i in enumerate(c.index): if i: self.constrainatoms += [n] def cell_to_lines(self, A): return np.empty((0, 3)), None, None def write(self, filename, **settings): # Determine canvas width and height ratio = float(self.w) / self.h if self.canvas_width is None: if self.canvas_height is None: self.canvas_width = min(self.w * 15, 640) else: self.canvas_width = self.canvas_height * ratio elif self.canvas_height is not None: raise RuntimeError, "Can't set *both* width and height!" # Distance to image plane from camera if self.image_plane is None: if self.camera_type == 'orthographic': self.image_plane = 1 - self.camera_dist else: self.image_plane = 0 self.image_plane += self.camera_dist # Produce the .ini file if filename.endswith('.pov'): ini = open(filename[:-4] + '.ini', 'w').write else: ini = open(filename + '.ini', 'w').write ini('Input_File_Name=%s\n' % filename) ini('Output_to_File=True\n') ini('Output_File_Type=N\n') ini('Output_Alpha=%s\n' % self.transparent) ini('; if you adjust Height, and width, you must preserve the ratio\n') ini('; Width / Height = %s\n' % repr(ratio)) ini('Width=%s\n' % self.canvas_width) ini('Height=%s\n' % (self.canvas_width / ratio)) ini('Antialias=True\n') ini('Antialias_Threshold=0.1\n') ini('Display=%s\n' % self.display) ini('Pause_When_Done=%s\n' % self.pause) ini('Verbose=False\n') del ini # Produce the .pov file w = open(filename, 'w').write w('#include "colors.inc"\n') w('#include "finish.inc"\n') w('\n') w('global_settings {assumed_gamma 1 max_trace_level 6}\n') w('background {%s}\n' % pc(self.background)) w('camera {%s\n' % self.camera_type) w(' right -%.2f*x up %.2f*y\n' % (self.w, self.h)) w(' direction %.2f*z\n' % self.image_plane) w(' location <0,0,%.2f> look_at <0,0,0>}\n' % self.camera_dist) for loc, rgb in self.point_lights: w('light_source {%s %s}\n' % (pa(loc), pc(rgb))) if self.area_light is not None: loc, color, width, height, nx, ny = self.area_light w('light_source {%s %s\n' % (pa(loc), pc(color))) w(' area_light <%.2f, 0, 0>, <0, %.2f, 0>, %i, %i\n' % ( width, height, nx, ny)) w(' adaptive 1 jitter}\n') w('\n') w('#declare simple = finish {phong 0.7}\n') w('#declare pale = finish {' 'ambient .5 ' 'diffuse .85 ' 'roughness .001 ' 'specular 0.200 }\n') w('#declare intermediate = finish {' 'ambient 0.3 ' 'diffuse 0.6 ' 'specular 0.10 ' 'roughness 0.04 }\n') w('#declare vmd = finish {' 'ambient .0 ' 'diffuse .65 ' 'phong 0.1 ' 'phong_size 40. ' 'specular 0.500 }\n') w('#declare jmol = finish {' 'ambient .2 ' 'diffuse .6 ' 'specular 1 ' 'roughness .001 ' 'metallic}\n') w('#declare ase2 = finish {' 'ambient 0.05 ' 'brilliance 3 ' 'diffuse 0.6 ' 'metallic ' 'specular 0.70 ' 'roughness 0.04 ' 'reflection 0.15}\n') w('#declare ase3 = finish {' 'ambient .15 ' 'brilliance 2 ' 'diffuse .6 ' 'metallic ' 'specular 1. ' 'roughness .001 ' 'reflection .0}\n') w('#declare glass = finish {' 'ambient .05 ' 'diffuse .3 ' 'specular 1. ' 'roughness .001}\n') w('#declare Rcell = %.3f;\n' % self.celllinewidth) w('#declare Rbond = %.3f;\n' % self.bondlinewidth) w('\n') w('#macro atom(LOC, R, COL, FIN)\n') w(' sphere{LOC, R texture{pigment{COL} finish{FIN}}}\n') w('#end\n') w('#macro constrain(LOC, R, COL, FIN)\n') w('union{torus{R, Rcell rotate 45*z texture{pigment{COL} finish{FIN}}}\n') w(' torus{R, Rcell rotate -45*z texture{pigment{COL} finish{FIN}}}\n') w(' translate LOC}\n') w('#end\n') w('\n') z0 = self.X[:, 2].max() self.X -= (self.w / 2, self.h / 2, z0) # Draw unit cell if self.C is not None: self.C -= (self.w / 2, self.h / 2, z0) self.C.shape = (2, 2, 2, 3) for c in range(3): for j in ([0, 0], [1, 0], [1, 1], [0, 1]): w('cylinder {') for i in range(2): j.insert(c, i) w(pa(self.C[tuple(j)]) + ', ') del j[c] w('Rcell pigment {Black}}\n') # Draw atoms a = 0 for loc, dia, color in zip(self.X, self.d, self.colors): tex = 'ase3' if self.textures is not None: tex = self.textures[a] w('atom(%s, %.2f, %s, %s) // #%i \n' % ( pa(loc), dia / 2., pc(color), tex, a)) a += 1 # Draw atom bonds for pair in self.bondatoms: if len(pair) == 2: a, b = pair offset = (0, 0, 0) else: a, b, offset = pair R = np.dot(offset, self.A) mida = 0.5 * (self.X[a] + self.X[b] + R) midb = 0.5 * (self.X[a] + self.X[b] - R) if self.textures is not None: texa = self.textures[a] texb = self.textures[b] else: texa = texb = 'ase3' w('cylinder {%s, %s, Rbond texture{pigment {%s} finish{%s}}}\n' % ( pa(self.X[a]), pa(mida), pc(self.colors[a]), texa)) w('cylinder {%s, %s, Rbond texture{pigment {%s} finish{%s}}}\n' % ( pa(self.X[b]), pa(midb), pc(self.colors[b]), texb)) # Draw constraints if requested if self.exportconstraints: for a in self.constrainatoms: dia = self.d[a] loc = self.X[a] w('constrain(%s, %.2f, Black, %s) // #%i \n' % ( pa(loc), dia / 2., tex, a)) def write_pov(filename, atoms, run_povray=False, **parameters): if isinstance(atoms, list): assert len(atoms) == 1 atoms = atoms[0] assert 'scale' not in parameters POVRAY(atoms, **parameters).write(filename) if run_povray: errcode = os.system('povray %s.ini 2> /dev/null' % filename[:-4]) if errcode != 0: raise OSError('Povray failed with error code %d' % errcode) python-ase-3.6.0.2515/ase/io/vasp.py0000644000175400017540000003271411660424243015713 0ustar askhlaskhl""" This module contains functionality for reading and writing an ASE Atoms object in VASP POSCAR format. """ import os def get_atomtypes(fname): """Given a file name, get the atomic symbols. The function can get this information from OUTCAR and POTCAR format files. The files can also be compressed with gzip or bzip2. """ atomtypes=[] if fname.find('.gz') != -1: import gzip f = gzip.open(fname) elif fname.find('.bz2') != -1: import bz2 f = bz2.BZ2File(fname) else: f = open(fname) for line in f: if line.find('TITEL') != -1: atomtypes.append(line.split()[3].split('_')[0].split('.')[0]) return atomtypes def atomtypes_outpot(posfname, numsyms): """Try to retreive chemical symbols from OUTCAR or POTCAR If getting atomtypes from the first line in POSCAR/CONTCAR fails, it might be possible to find the data in OUTCAR or POTCAR, if these files exist. posfname -- The filename of the POSCAR/CONTCAR file we're trying to read numsyms -- The number of symbols we must find """ import os.path as op import glob # First check files with exactly same name except POTCAR/OUTCAR instead # of POSCAR/CONTCAR. fnames = [posfname.replace('POSCAR', 'POTCAR').replace('CONTCAR', 'POTCAR')] fnames.append(posfname.replace('POSCAR', 'OUTCAR').replace('CONTCAR', 'OUTCAR')) # Try the same but with compressed files fsc = [] for fn in fnames: fsc.append(fn + '.gz') fsc.append(fn + '.bz2') for f in fsc: fnames.append(f) # Finally try anything with POTCAR or OUTCAR in the name vaspdir = op.dirname(posfname) fs = glob.glob(vaspdir + '*POTCAR*') for f in fs: fnames.append(f) fs = glob.glob(vaspdir + '*OUTCAR*') for f in fs: fnames.append(f) tried = [] files_in_dir = os.listdir('.') for fn in fnames: if fn in files_in_dir: tried.append(fn) at = get_atomtypes(fn) if len(at) == numsyms: return at raise IOError('Could not determine chemical symbols. Tried files ' + str(tried)) def get_atomtypes_from_formula(formula): """Return atom types from chemical formula (optionally prepended with and underscore). """ from ase.atoms import string2symbols symbols = string2symbols(formula.split('_')[0]) atomtypes = [symbols[0]] for s in symbols[1:]: if s != atomtypes[-1]: atomtypes.append(s) return atomtypes def read_vasp(filename='CONTCAR'): """Import POSCAR/CONTCAR type file. Reads unitcell, atom positions and constraints from the POSCAR/CONTCAR file and tries to read atom types from POSCAR/CONTCAR header, if this fails the atom types are read from OUTCAR or POTCAR file. """ from ase import Atoms, Atom from ase.constraints import FixAtoms, FixScaled from ase.data import chemical_symbols import numpy as np if isinstance(filename, str): f = open(filename) else: # Assume it's a file-like object f = filename # First line should contain the atom symbols , eg. "Ag Ge" in # the same order # as later in the file (and POTCAR for the full vasp run) atomtypes = f.readline().split() # Sometimes the first line in POSCAR/CONTCAR is of the form # "CoP3_In-3.pos". Check for this case and extract atom types if len(atomtypes) == 1 and '_' in atomtypes[0]: atomtypes = get_atomtypes_from_formula(atomtypes[0]) lattice_constant = float(f.readline().split()[0]) # Now the lattice vectors a = [] for ii in range(3): s = f.readline().split() floatvect = float(s[0]), float(s[1]), float(s[2]) a.append(floatvect) basis_vectors = np.array(a) * lattice_constant # Number of atoms. Again this must be in the same order as # in the first line # or in the POTCAR or OUTCAR file atom_symbols = [] numofatoms = f.readline().split() #vasp5.1 has an additional line which gives the atom types #the following try statement skips this line try: int(numofatoms[0]) except ValueError: numofatoms = f.readline().split() # check for comments in numofatoms line and get rid of them if necessary commentcheck = np.array(['!' in s for s in numofatoms]) if commentcheck.any(): # only keep the elements up to the first including a '!': numofatoms = numofatoms[:np.arange(len(numofatoms))[commentcheck][0]] numsyms = len(numofatoms) if len(atomtypes) < numsyms: # First line in POSCAR/CONTCAR didn't contain enough symbols. atomtypes = atomtypes_outpot(f.name, numsyms) else: try: for atype in atomtypes[:numsyms]: if not atype in chemical_symbols: raise KeyError except KeyError: atomtypes = atomtypes_outpot(f.name, numsyms) for i, num in enumerate(numofatoms): numofatoms[i] = int(num) [atom_symbols.append(atomtypes[i]) for na in xrange(numofatoms[i])] # Check if Selective dynamics is switched on sdyn = f.readline() selective_dynamics = sdyn[0].lower() == "s" # Check if atom coordinates are cartesian or direct if selective_dynamics: ac_type = f.readline() else: ac_type = sdyn cartesian = ac_type[0].lower() == "c" or ac_type[0].lower() == "k" tot_natoms = sum(numofatoms) atoms_pos = np.empty((tot_natoms, 3)) if selective_dynamics: selective_flags = np.empty((tot_natoms, 3), dtype=bool) for atom in xrange(tot_natoms): ac = f.readline().split() atoms_pos[atom] = (float(ac[0]), float(ac[1]), float(ac[2])) if selective_dynamics: curflag = [] for flag in ac[3:6]: curflag.append(flag == 'F') selective_flags[atom] = curflag # Done with all reading if type(filename) == str: f.close() if cartesian: atoms_pos *= lattice_constant atoms = Atoms(symbols = atom_symbols, cell = basis_vectors, pbc = True) if cartesian: atoms.set_positions(atoms_pos) else: atoms.set_scaled_positions(atoms_pos) if selective_dynamics: constraints = [] indices = [] for ind, sflags in enumerate(selective_flags): if sflags.any() and not sflags.all(): constraints.append(FixScaled(atoms.get_cell(), ind, sflags)) elif sflags.all(): indices.append(ind) if indices: constraints.append(FixAtoms(indices)) if constraints: atoms.set_constraint(constraints) return atoms def read_vasp_out(filename='OUTCAR',index = -1): """Import OUTCAR type file. Reads unitcell, atom positions, energies, and forces from the OUTCAR file and attempts to read constraints (if any) from CONTCAR/POSCAR, if present. """ import os import numpy as np from ase.calculators.singlepoint import SinglePointCalculator from ase import Atoms, Atom try: # try to read constraints, first from CONTCAR, then from POSCAR constr = read_vasp('CONTCAR').constraints except: try: constr = read_vasp('POSCAR').constraints except: constr = None if isinstance(filename, str): f = open(filename) else: # Assume it's a file-like object f = filename data = f.readlines() natoms = 0 images = [] atoms = Atoms(pbc = True, constraint = constr) energy = 0 species = [] species_num = [] symbols = [] ecount = 0 poscount = 0 for n,line in enumerate(data): if 'POTCAR:' in line: temp = line.split()[2] for c in ['.','_','1']: if c in temp: temp = temp[0:temp.find(c)] species += [temp] if 'ions per type' in line: species = species[:len(species)/2] temp = line.split() for ispecies in range(len(species)): species_num += [int(temp[ispecies+4])] natoms += species_num[-1] for iatom in range(species_num[-1]): symbols += [species[ispecies]] if 'direct lattice vectors' in line: cell = [] for i in range(3): temp = data[n+1+i].split() cell += [[float(temp[0]), float(temp[1]), float(temp[2])]] atoms.set_cell(cell) if 'FREE ENERGIE OF THE ION-ELECTRON SYSTEM' in line: energy = float(data[n+2].split()[4]) if ecount < poscount: # reset energy for LAST set of atoms, not current one - VASP 5.11? and up images[-1].calc.energy = energy ecount += 1 if 'POSITION ' in line: forces = [] for iatom in range(natoms): temp = data[n+2+iatom].split() atoms += Atom(symbols[iatom],[float(temp[0]),float(temp[1]),float(temp[2])]) forces += [[float(temp[3]),float(temp[4]),float(temp[5])]] atoms.set_calculator(SinglePointCalculator(energy,forces,None,None,atoms)) images += [atoms] atoms = Atoms(pbc = True, constraint = constr) poscount += 1 # return requested images, code borrowed from ase/io/trajectory.py if isinstance(index, int): return images[index] else: step = index.step or 1 if step > 0: start = index.start or 0 if start < 0: start += len(images) stop = index.stop or len(images) if stop < 0: stop += len(images) else: if index.start is None: start = len(images) - 1 else: start = index.start if start < 0: start += len(images) if index.stop is None: stop = -1 else: stop = index.stop if stop < 0: stop += len(images) return [images[i] for i in range(start, stop, step)] def write_vasp(filename, atoms, label='', direct=False, sort=None, symbol_count = None, long_format=True): """Method to write VASP position (POSCAR/CONTCAR) files. Writes label, scalefactor, unitcell, # of various kinds of atoms, positions in cartesian or scaled coordinates (Direct), and constraints to file. Cartesian coordiantes is default and default label is the atomic species, e.g. 'C N H Cu'. """ import numpy as np from ase.constraints import FixAtoms, FixScaled if isinstance(filename, str): f = open(filename, 'w') else: # Assume it's a 'file-like object' f = filename if isinstance(atoms, (list, tuple)): if len(atoms) > 1: raise RuntimeError("Don't know how to save more than "+ "one image to VASP input") else: atoms = atoms[0] # Write atom positions in scaled or cartesian coordinates if direct: coord = atoms.get_scaled_positions() else: coord = atoms.get_positions() if atoms.constraints: sflags = np.zeros((len(atoms), 3), dtype=bool) for constr in atoms.constraints: if isinstance(constr, FixScaled): sflags[constr.a] = constr.mask elif isinstance(constr, FixAtoms): sflags[constr.index] = [True, True, True] if sort: ind = np.argsort(atoms.get_chemical_symbols()) symbols = np.array(atoms.get_chemical_symbols())[ind] coord = coord[ind] if atoms.constraints: sflags = sflags[ind] else: symbols = atoms.get_chemical_symbols() # Create a list sc of (symbol, count) pairs if symbol_count: sc = symbol_count else: sc = [] psym = symbols[0] count = 0 for sym in symbols: if sym != psym: sc.append((psym, count)) psym = sym count = 1 else: count += 1 sc.append((psym, count)) # Create the label if label == '': for sym, c in sc: label += '%2s ' % sym f.write(label + '\n') # Write unitcell in real coordinates and adapt to VASP convention # for unit cell # ase Atoms doesn't store the lattice constant separately, so always # write 1.0. f.write('%19.16f\n' % 1.0) if long_format: latt_form = ' %21.16f' else: latt_form = ' %11.6f' for vec in atoms.get_cell(): f.write(' ') for el in vec: f.write(latt_form % el) f.write('\n') # Numbers of each atom for sym, count in sc: f.write(' %3i' % count) f.write('\n') if atoms.constraints: f.write('Selective dynamics\n') if direct: f.write('Direct\n') else: f.write('Cartesian\n') if long_format: cform = ' %19.16f' else: cform = ' %9.6f' for iatom, atom in enumerate(coord): for dcoord in atom: f.write(cform % dcoord) if atoms.constraints: for flag in sflags[iatom]: if flag: s = 'F' else: s = 'T' f.write('%4s' % s) f.write('\n') if type(filename) == str: f.close() python-ase-3.6.0.2515/ase/io/vnl.py0000644000175400017540000000201311207220276015523 0ustar askhlaskhlimport numpy as np from ase.atoms import Atoms class VNL: def __setstate__(self, data): self.data = data def ac(shape, typecode, data, endian): x = np.fromstring(data, typecode) try: x.shape = shape except ValueError: x = x[::2].copy() x.shape = shape if np.LittleEndian != endian: return x.byteswap() else: return x class VNLUnpickler(pickle.Unpickler): def find_class(self, module, name): if module == 'VNLATKStorage.Core.Sample': return VNL if name == 'array_constructor': return ac return pickle.Unpickler.find_class(self, module, name) def read_vnl(filename): from cStringIO import StringIO vnl = VNLUnpickler(StringIO(ZipFile(filename).read('0_object'))).load() conf = vnl.data['__properties__']['Atomic Configuration'].data numbers = conf['_dataarray_'] positions = conf['_positions_'].data['_dataarray_'] return Atoms(numbers=numbers, positions=positions) python-ase-3.6.0.2515/ase/io/etsf.py0000644000175400017540000000641511475647267015723 0ustar askhlaskhlimport numpy as np from ase.atoms import Atoms from ase.units import Bohr from ase.io.pupynere import NetCDFFile class ETSFReader: def __init__(self, filename): self.nc = NetCDFFile(filename, 'r') def read_atoms(self): var = self.nc.variables cell = var['primitive_vectors'] assert cell.units == 'atomic units' species = var['atom_species'][:] spos = var['reduced_atom_positions'][:] numbers = var['atomic_numbers'][:] return Atoms(numbers=numbers[species - 1], scaled_positions=spos, cell=cell[:] * Bohr, pbc=True) class ETSFWriter: def __init__(self, filename): from Scientific.IO.NetCDF import NetCDFFile self.nc = NetCDFFile(filename, 'w') self.nc.file_format = 'ETSF Nanoquanta' self.nc.file_format_version = np.array([3.3], dtype=np.float32) self.nc.Conventions = 'http://www.etsf.eu/fileformats/' self.nc.history = 'File generated by ASE' def write_atoms(self, atoms): specie_a = np.empty(len(atoms), np.int32) nspecies = 0 species = {} numbers = [] for a, Z in enumerate(atoms.get_atomic_numbers()): if Z not in species: species[Z] = nspecies nspecies += 1 numbers.append(Z) specie_a[a] = species[Z] dimensions = [ ('character_string_length', 80), ('number_of_atoms', len(atoms)), ('number_of_atom_species', nspecies), ('number_of_cartesian_directions', 3), ('number_of_reduced_dimensions', 3), ('number_of_vectors', 3)] for name, size in dimensions: self.nc.createDimension(name, size) var = self.add_variable var('primitive_vectors', ('number_of_vectors', 'number_of_cartesian_directions'), atoms.cell / Bohr, units='atomic units') var('atom_species', ('number_of_atoms',), specie_a + 1) var('reduced_atom_positions', ('number_of_atoms', 'number_of_reduced_dimensions'), atoms.get_scaled_positions()) var('atomic_numbers', ('number_of_atom_species',), np.array(numbers, dtype=float)) def close(self): self.nc.close() def add_variable(self, name, dims, data=None, **kwargs): if data is None: char = 'd' else: if isinstance(data, np.ndarray): char = data.dtype.char elif isinstance(data, float): char = 'd' elif isinstance(data, int): char = 'i' else: char = 'c' var = self.nc.createVariable(name, char, dims) for attr, value in kwargs.items(): setattr(var, attr, value) if data is not None: if len(dims) == 0: var.assignValue(data) else: if char == 'c': if len(dims) == 1: var[:len(data)] = data else: for i, x in enumerate(data): var[i, :len(x)] = x else: var[:] = data return var python-ase-3.6.0.2515/ase/io/turbomole.py0000644000175400017540000001277611655756254016776 0ustar askhlaskhlfrom ase.atoms import Atoms from ase.units import Bohr def read_turbomole(filename='coord'): """Method to read turbomole coord file coords in bohr, atom types in lowercase, format: $coord x y z atomtype x y z atomtype f $end Above 'f' means a fixed atom. """ from ase import Atoms, Atom from ase.constraints import FixAtoms if isinstance(filename, str): f = open(filename) lines = f.readlines() atoms_pos = [] atom_symbols = [] myconstraints=[] # find $coord section; # does not necessarily have to be the first $ in file... start = lines.index('$coord') # raises ValueError if not found for line in lines[start+1:]: if line.startswith('$'): # start of new section break else: x, y, z, symbolraw = line.split()[:4] symbolshort=symbolraw.strip() symbol=symbolshort[0].upper()+symbolshort[1:].lower() #print symbol atom_symbols.append(symbol) atoms_pos.append([float(x)*Bohr, float(y)*Bohr, float(z)*Bohr]) cols = line.split() if (len(cols) == 5): fixedstr = line.split()[4].strip() if (fixedstr == "f"): myconstraints.append(True) else: myconstraints.append(False) else: myconstraints.append(False) if type(filename) == str: f.close() atoms = Atoms(positions = atoms_pos, symbols = atom_symbols, pbc = False) c = FixAtoms(mask = myconstraints) atoms.set_constraint(c) #print c return atoms def read_turbomole_gradient(filename='gradient', index=-1): """ Method to read turbomole gradient file """ if isinstance(filename, str): f = open(filename) # read entire file lines = [x.strip() for x in f.readlines()] # find $grad section start = end = -1 for i, line in enumerate(lines): if not line.startswith('$'): continue if line.split()[0] == '$grad': start = i elif start >= 0: end = i break if end <= start: raise RuntimeError('File %s does not contain a valid \'$grad\' section' % (filename)) def formatError(): raise RuntimeError('Data format in file %s does not correspond to known Turbomole gradient format' % (filename)) # trim lines to $grad del lines[:start+1] del lines[end-1-start:] # Interpret $grad section from ase import Atoms, Atom from ase.calculators.singlepoint import SinglePointCalculator from ase.units import Bohr images = [] while len(lines): # loop over optimization cycles # header line # cycle = 1 SCF energy = -267.6666811409 |dE/dxyz| = 0.157112 fields = lines[0].split('=') try: cycle = int(fields[1].split()[0]) energy = float(fields[2].split()[0]) gradient = float(fields[3].split()[0]) except (IndexError, ValueError): formatError() # coordinates/gradient atoms = Atoms() forces = [] for line in lines[1:]: fields = line.split() if len(fields) == 4: # coordinates # 0.00000000000000 0.00000000000000 0.00000000000000 c try: symbol = fields[3].lower().capitalize() position = tuple([bohr2angstrom(float(x)) for x in fields[0:3] ]) except ValueError: formatError() atoms.append(Atom(symbol, position)) elif len(fields) == 3: # gradients # -.51654903354681D-07 -.51654903206651D-07 0.51654903169644D-07 try: grad = [float(x.replace('D', 'E')) * Bohr for x in fields[0:3] ] except ValueError: formatError() forces.append(grad) else: # next cycle break # calculator calc = SinglePointCalculator(energy, forces, None, None, atoms) atoms.set_calculator(calc) # save frame images.append(atoms) # delete this frame from data to be handled del lines[:2*len(atoms)+1] return images[index] def write_turbomole(filename, atoms): """Method to write turbomole coord file """ import numpy as np from ase.constraints import FixAtoms if isinstance(filename, str): f = open(filename, 'w') else: # Assume it's a 'file-like object' f = filename coord = atoms.get_positions() symbols = atoms.get_chemical_symbols() printfixed = False if atoms.constraints: for constr in atoms.constraints: if isinstance(constr, FixAtoms): fix_index=constr.index printfixed=True #print sflags if (printfixed): fix_str=[] for i in fix_index: if i == 1: fix_str.append("f") else: fix_str.append(" ") f.write("$coord\n") if (printfixed): for (x, y, z), s, fix in zip(coord,symbols,fix_str): f.write('%20.14f %20.14f %20.14f %2s %2s \n' % (x/Bohr, y/Bohr, z/Bohr, s.lower(), fix)) else: for (x, y, z), s in zip(coord,symbols): f.write('%20.14f %20.14f %20.14f %2s \n' % (x/Bohr, y/Bohr, z/Bohr, s.lower())) f.write("$end\n") python-ase-3.6.0.2515/ase/io/sdf.py0000644000175400017540000000111711417270450015506 0ustar askhlaskhlfrom math import pi, cos, sin, sqrt, acos from ase.atoms import Atoms from ase.parallel import paropen def read_sdf(fileobj): if isinstance(fileobj, str): fileobj = open(fileobj) lines = fileobj.readlines() # first three lines header del lines[:3] # L1 = lines.pop(0).split() natoms = int(L1[0]) positions = [] symbols = [] for line in lines[:natoms]: x, y, z, symbol = line.split()[:4] symbols.append(symbol) positions.append([float(x), float(y), float(z)]) return Atoms(symbols=symbols, positions=positions) python-ase-3.6.0.2515/ase/io/dacapo.py0000644000175400017540000000476711410141252016165 0ustar askhlaskhlimport numpy as np from ase.calculators.singlepoint import SinglePointCalculator from ase.atom import Atom from ase.atoms import Atoms def read_dacapo_text(fileobj): if isinstance(fileobj, str): fileobj = open(fileobj) lines = fileobj.readlines() i = lines.index(' Structure: A1 A2 A3\n') cell = np.array([[float(w) for w in line.split()[2:5]] for line in lines[i + 1:i + 4]]).transpose() i = lines.index(' Structure: >> Ionic positions/velocities ' + 'in cartesian coordinates <<\n') atoms = [] for line in lines[i + 4:]: words = line.split() if len(words) != 9: break Z, x, y, z = words[2:6] atoms.append(Atom(int(Z), [float(x), float(y), float(z)])) atoms = Atoms(atoms, cell=cell.tolist()) try: i = lines.index( ' DFT: CPU time Total energy\n') except ValueError: pass else: column = lines[i + 3].split().index('selfcons') - 1 try: i2 = lines.index(' ANALYSIS PART OF CODE\n', i) except ValueError: pass else: while i2 > i: if lines[i2].startswith(' DFT:'): break i2 -= 1 energy = float(lines[i2].split()[column]) atoms.set_calculator(SinglePointCalculator(energy, None, None, None, atoms)) return atoms def read_dacapo(filename): from ase.io.pupynere import NetCDFFile nc = NetCDFFile(filename) dims = nc.dimensions vars = nc.variables cell = vars['UnitCell'][-1] try: magmoms = vars['InitialAtomicMagneticMoment'][:] except KeyError: magmoms = None try: tags = vars['AtomTags'][:] except KeyError: tags = None atoms = Atoms(scaled_positions=vars['DynamicAtomPositions'][-1], symbols=[(a + b).strip() for a, b in vars['DynamicAtomSpecies'][:]], cell=cell, magmoms=magmoms, tags=tags, pbc=True) try: energy = vars['TotalEnergy'][-1] force = vars['DynamicAtomForces'][-1] except KeyError: energy = None force = None calc = SinglePointCalculator(energy,force,None, None, atoms) ### Fixme magmoms atoms.set_calculator(calc) return atoms python-ase-3.6.0.2515/ase/io/castep.py0000644000175400017540000005661111636303074016224 0ustar askhlaskhl# -*- coding: utf-8 -*- """This module defines I/O routines with CASTEP files. The key idea is that all function accept or return atoms objects. CASTEP specific parameters will be returned through the .calc attribute. """ from numpy import sqrt, radians, sin, cos, matrix, array, cross, float32, dot import ase from ase.constraints import FixAtoms, FixCartesian from ase.parallel import paropen import os __all__ = [ 'read_castep', 'read_cell', 'read_geom', 'read_param', 'read_seed', 'write_cell', 'write_param', ] def write_cell(filename, atoms, positions_frac=False, castep_cell=None, force_write=False): """This CASTEP export function write minimal information to a .cell file. If the atoms object is a trajectory, it will take the last image. """ if atoms is None: print("Atoms object not initialized") return False if isinstance(atoms, list): if len(atoms) > 1: atoms = atoms[-1] if os.path.isfile(filename) and not force_write: print('ase.io.castep.write_param: Set optional argument') print('force_write=True to overwrite %s.' % filename) return False fd = open(filename, 'w') fd.write('#######################################################\n') fd.write('#CASTEP cell file: %s\n' % filename) fd.write('#Created using the Atomic Simulation Environment (ASE)#\n') fd.write('#######################################################\n\n') fd.write('%BLOCK LATTICE_CART\n') cell = matrix(atoms.get_cell()) for line in atoms.get_cell(): fd.write(' %.10f %.10f %.10f\n' % tuple(line)) fd.write('%ENDBLOCK LATTICE_CART\n\n\n') if positions_frac: keyword = 'POSITIONS_FRAC' positions = array(atoms.get_positions() * cell.I) else: keyword = 'POSITIONS_ABS' positions = atoms.get_positions() if atoms.get_initial_magnetic_moments().any(): pos_block = [('%s %8.6f %8.6f %8.6f SPIN=%4.2f' % (x, y[0], y[1], y[2], m)) for (x, y, m) in zip(atoms.get_chemical_symbols(), positions, atoms.get_initial_magnetic_moments())] else: pos_block = [('%s %8.6f %8.6f %8.6f' % (x, y[0], y[1], y[2])) for (x, y) in zip(atoms.get_chemical_symbols(), positions)] fd.write('%%BLOCK %s\n' % keyword) for line in pos_block: fd.write(' %s\n' % line) fd.write('%%ENDBLOCK %s\n\n' % keyword) # if atoms, has a CASTEP calculator attached, then only # write constraints if really necessary if hasattr(atoms, 'calc')\ and hasattr(atoms.calc, 'param')\ and hasattr(atoms.calc.param, 'task'): task = atoms.calc.param.task if atoms.calc.param.task.value is None: suppress_constraints = True elif task.value.lower() not in [ 'geometryoptimization', 'moleculardynamics', 'transitionstatesearch', 'phonon']: suppress_constraints = True else: suppress_constraints = False else: suppress_constraints = True constraints = atoms.constraints if len(constraints) and not suppress_constraints: fd.write("%BLOCK IONIC_CONSTRAINTS \n") count = 0 for constr in constraints: if not isinstance(constr, FixAtoms)\ and not isinstance(constr, FixCartesian)\ and not suppress_constraints: print('Warning: you have constraints in your atoms, that are') print(' not supported by CASTEP') break if isinstance(constr, FixAtoms): # sorry, for this complicated block # reason is that constraint.index can either # hold booleans or integers and in both cases # it is an numpy array, so no simple comparison works for n, val in enumerate(constr.index): if val.dtype.name.startswith('bool'): if not val: continue symbol = atoms.get_chemical_symbols()[n] nis = atoms.calc._get_number_in_species(n) elif val.dtype.name.startswith('int'): symbol = atoms.get_chemical_symbols()[val] nis = atoms.calc._get_number_in_species(val) else: raise UserWarning('Unrecognized index in' + \ ' constraint %s' % constr) fd.write("%6d %3s %3d 1 0 0 \n" % (count + 1, symbol, nis)) fd.write("%6d %3s %3d 0 1 0 \n" % (count + 2, symbol, nis)) fd.write("%6d %3s %3d 0 0 1 \n" % (count + 3, symbol, nis)) count += 3 elif isinstance(constr, FixCartesian): n = constr.a symbol = atoms.get_chemical_symbols()[n] nis = atoms.calc._get_number_in_species(n) fix_cart = - constr.mask + 1 if fix_cart[0]: count += 1 fd.write("%6d %3s %3d 1 0 0 \n" % (count, symbol, nis)) if fix_cart[1]: count += 1 fd.write("%6d %3s %3d 0 1 0 \n" % (count, symbol, nis)) if fix_cart[2]: count += 1 fd.write("%6d %3s %3d 0 0 1 \n" % (count, symbol, nis)) fd.write("%ENDBLOCK IONIC_CONSTRAINTS \n") if castep_cell is None: if hasattr(atoms, 'calc') and hasattr(atoms.calc, 'cell'): castep_cell = atoms.calc.cell else: fd.close() return True for option in castep_cell._options.values(): if option.value is not None: if option.type == 'Block': fd.write('%%BLOCK %s\n' % option.keyword.upper()) fd.write(option.value) fd.write('\n%%ENDBLOCK %s\n' % option.keyword.upper()) else: fd.write('%s : %s\n' % (option.keyword.upper(), option.value)) fd.close() return True def read_cell(filename, _=None): """Read a .cell file and return an atoms object. Any value found that does not fit the atoms API will be stored in the atoms.calc attribute. """ from ase.calculators.castep import Castep calc = Castep() fileobj = open(filename) lines = fileobj.readlines() fileobj.close() def get_tokens(lines, l): """Tokenizes one line of a *cell file.""" comment_chars = "#!" while l < len(lines): line = lines[l].strip() if len(line) == 0: l += 1 continue elif any([line.startswith(comment_char) for comment_char in comment_chars]): l += 1 continue else: for c in comment_chars: if c in line: icomment = min(line.index(c)) else: icomment = len(line) tokens = line[:icomment].split() return tokens, l + 1 tokens = "" print("read_cell: Warning - get_tokens has not found any more tokens") return tokens, l lat = [] have_lat = False pos = [] spec = [] constraints = [] raw_constraints = {} have_pos = False pos_frac = False l = 0 while l < len(lines): tokens, l = get_tokens(lines, l) if not tokens: continue elif tokens[0].upper() == "%BLOCK": if tokens[1].upper() == "LATTICE_CART" and not have_lat: tokens, l = get_tokens(lines, l) if len(tokens) == 1: print('read_cell: Warning - ignoring unit specifier in') print('%BLOCK LATTICE_CART (assuming Angstrom instead)') tokens, l = get_tokens(lines, l) for _ in range(3): lat_vec = map(float, tokens[0:3]) lat.append(lat_vec) tokens, l = get_tokens(lines, l) if tokens[0].upper() != "%ENDBLOCK": print('read_cell: Warning - ignoring more than three') print('lattice vectors in invalid %BLOCK LATTICE_CART') print('%s ...' % tokens[0].upper()) have_lat = True elif tokens[1].upper() == "LATTICE_ABC" and not have_lat: tokens, l = get_tokens(lines, l) if len(tokens) == 1: print('read_cell: Warning - ignoring unit specifier in') print('%BLOCK LATTICE_ABC (assuming Angstrom instead)') tokens, l = get_tokens(lines, l) a, b, c = map(float, tokens[0:3]) tokens, l = get_tokens(lines, l) alpha, beta, gamma = map(lambda phi: radians(float(phi)), tokens[0:3]) tokens, l = get_tokens(lines, l) if tokens[0].upper() != "%ENDBLOCK": print('read_cell: Warning - ignoring additional lines in') print('invalid %BLOCK LATTICE_ABC') lat_a = [a, 0, 0] lat_b = [b * cos(gamma), b * sin(gamma), 0] lat_c1 = c * cos(beta) lat_c2 = c * (cos(alpha) - cos(beta) * cos(gamma)) / sin(gamma) lat_c3 = sqrt(c * c - lat_c1 * lat_c1 - lat_c2 * lat_c2) lat_c = [lat_c1, lat_c2, lat_c3] lat = [lat_a, lat_b, lat_c] have_lat = True elif tokens[1].upper() == "POSITIONS_ABS" and not have_pos: tokens, l = get_tokens(lines, l) if len(tokens) == 1: print('read_cell: Warning - ignoring unit specifier in') print('%BLOCK POSITIONS_ABS(assuming Angstrom instead)') tokens, l = get_tokens(lines, l) while len(tokens) == 4: spec.append(tokens[0]) pos.append(map(float, tokens[1:4])) tokens, l = get_tokens(lines, l) if tokens[0].upper() != "%ENDBLOCK": print('read_cell: Warning - ignoring invalid lines in') print('%%BLOCK POSITIONS_ABS:\n\t %s' % tokens) have_pos = True elif tokens[1].upper() == "POSITIONS_FRAC" and not have_pos: pos_frac = True tokens, l = get_tokens(lines, l) while len(tokens) == 4: spec.append(tokens[0]) pos.append(map(float, tokens[1:4])) tokens, l = get_tokens(lines, l) if tokens[0].upper() != "%ENDBLOCK": print('read_cell: Warning - ignoring invalid lines') print('%%BLOCK POSITIONS_FRAC:\n\t %s' % tokens) have_pos = True elif tokens[1].upper() == 'SPECIES_POT': tokens, l = get_tokens(lines, l) while tokens and not tokens[0].upper() == '%ENDBLOCK': if len(tokens) == 2: calc.cell.species_pot = tuple(tokens) tokens, l = get_tokens(lines, l) elif tokens[1].upper() == 'IONIC_CONSTRAINTS': while True: if tokens and tokens[0].upper() == '%ENDBLOCK': break tokens, l = get_tokens(lines, l) if not len(tokens) == 6: continue _, species, nic, x, y, z = tokens nic = int(nic) if (species, nic) not in raw_constraints: raw_constraints[(species, nic)] = [] raw_constraints[(species, nic)].append(array( [x, y, z])) else: print('Warning: the keyword %s is not' % tokens[1].upper()) print(' interpreted in cell files') while not tokens[0].upper() == '%ENDBLOCK': tokens, l = get_tokens(lines, l) #raise UserWarning else: key = tokens[0] value = ' '.join(tokens[1:]) try: calc.__setattr__(key, value) except: print("Problem setting calc.cell.%s = %s" % (key, value)) raise if pos_frac: atoms = ase.Atoms( calculator=calc, cell=lat, pbc=True, scaled_positions=pos, symbols=spec, ) else: atoms = ase.Atoms( calculator=calc, cell=lat, pbc=True, positions=pos, symbols=spec, ) fixed_atoms = [] for (species, nic), value in raw_constraints.iteritems(): absolute_nr = atoms.calc._get_absolute_number(species, nic) if len(value) == 3: fixed_atoms.append(absolute_nr) elif len(value) == 2: constraint = ase.constraints.FixedLine(a=absolute_nr, direction=cross(value[0], value[1])) constraints.append(constraint) elif len(value) == 1: constraint = ase.constraints.FixedPlane(a=absolute_nr, direction=array(value[0], dtype=float32)) constraints.append(constraint) else: print('Error: Found %s statements attached to atoms %s' % (len(value), absolute_nr)) constraints.append(ase.constraints.FixAtoms(fixed_atoms)) atoms.set_constraint(constraints) # needs to go here again to have the constraints in # atoms.calc.atoms.constraints as well atoms.calc.atoms = atoms atoms.calc.push_oldstate() return atoms # this actually does not belong here # think how one could join this with # the ase.calculators.castep.Castep.read() # in the future! def read_castep(filename, _=-1): """Reads a .castep file and returns an atoms object. The calculator information will be stored in the calc attribute. If more than one SCF step is found, a list of all steps will be stored in the traj attribute. Note that the index argument has no effect as of now. """ from ase.calculators.singlepoint import SinglePointCalculator fileobj = open(filename) lines = fileobj.readlines() fileobj.close() traj = [] energy_total = None energy_0K = None for i, line in enumerate(lines): if 'NB est. 0K energy' in line: energy_0K = float(line.split()[6]) elif 'Final energy, E' in line: energy_total = float(line.split()[4]) elif 'Unit Cell' in line: cell = [x.split()[0:3] for x in lines[i + 3:i + 6]] cell = array([[float(col) for col in row] for row in cell]) elif 'Cell Contents' in line: geom_starts = i start_found = False for j, jline in enumerate(lines[geom_starts:]): if jline.find('xxxxx') > 0 and start_found: geom_stop = j + geom_starts break if jline.find('xxxx') > 0 and not start_found: geom_start = j + geom_starts + 4 start_found = True species = [line.split()[1] for line in lines[geom_start:geom_stop]] geom = dot(array([[float(col) for col in line.split()[3:6]] for line in lines[geom_start:geom_stop]]), cell) elif 'Writing model to' in line: atoms = ase.Atoms( cell=cell, pbc=True, positions=geom, symbols=''.join(species), ) # take 0K energy where available, else total energy if energy_0K: energy = energy_0K else: energy = energy_total # generate a minimal single-point calculator sp_calc = SinglePointCalculator(atoms=atoms, energy=energy, forces=None, magmoms=None, stress=None, ) atoms.set_calculator(sp_calc) traj.append(atoms) return traj def read_param(filename, calc=None): """Reads a param file. If an Castep object is passed as the second argument, the parameter setings are merged into the existing object and returned. Otherwise a new Castep() calculator instance gets created and returned. Parameters: filename: the .param file. Only opens reading calc: [Optional] calculator object to hang parameters onto """ if calc is None: calc = ase.calculators.castep.Castep(check_castep_version=False) calc.merge_param(filename) return calc def write_param(filename, param, check_checkfile=False, force_write=False, interface_options=None): """Writes a CastepParam object to a CASTEP .param file Parameters: filename: the location of the file to write to. If it exists it will be overwritten without warning. If it doesn't it will be created. param: a CastepParam instance check_checkfile : if set to True, write_param will only write continuation or reuse statement if a restart file exists in the same directory """ if os.path.isfile(filename) and not force_write: print('ase.io.castep.write_param: Set optional argument') print('force_write=True to overwrite %s.' % filename) return False out = paropen(filename, 'w') out.write('#######################################################\n') out.write('#CASTEP param file: %s\n' % filename) out.write('#Created using the Atomic Simulation Environment (ASE)#\n') if interface_options is not None: out.write('# Internal settings of the calculator\n') out.write('# This can be switched off by settings\n') out.write('# calc._export_settings = False\n') out.write('# If stated, this will be automatically processed\n') out.write('# by ase.io.castep.read_seed()\n') for option, value in sorted(interface_options.iteritems()): out.write('# ASE_INTERFACE %s : %s\n' % (option, value)) out.write('#######################################################\n\n') for keyword, opt in sorted(param._options.iteritems()): if opt.type == 'Defined': if opt.value is not None: out.write('%s\n' % (option)) elif opt.value is not None: if keyword in ['continuation', 'reuse'] and check_checkfile: if opt.value == 'default': if not os.path.exists('%s.%s'\ % (os.path.splitext(filename)[0], 'check')): continue elif not os.path.exists(opt.value): continue out.write('%s : %s\n' % (keyword, opt.value)) out.close() def read_geom(filename, _=-1): """Reads a .geom file produced by the CASTEP GeometryOptimization task and returns an atoms object. The information about total free energy and forces of each atom for every relaxation step will be stored for further analysis especially in a single-point calculator. Note that everything in the .geom file is in atomic units, which has been conversed to commonly used unit angstrom(length) and eV (energy). Note that the index argument has no effect as of now. Contribution by Wei-Bing Zhang. Thanks! """ from ase.calculators.singlepoint import SinglePointCalculator fileobj = open(filename) txt = fileobj.readlines() fileobj.close() traj = [] # Source: CODATA2002, used by default # in CASTEP 5.01 # but check with your version in case of error # ase.units is based on CODATA1986/ # here we hard-code from http://physics.nist.gov/cuu/Document/all_2002.pdf Hartree = 27.211384565719481 Bohr = 0.5291772108 print('N.B.: Energy in .geom file is not 0K extrapolated.') for i, line in enumerate(txt): if line.find("<-- E") > 0: start_found = True energy = float(line.split()[0]) * Hartree cell = [x.split()[0:3] for x in txt[i + 1:i + 4]] cell = array([[float(col) * Bohr for col in row] for row in cell]) if line.find('<-- R') > 0 and start_found: start_found = False geom_start = i for i, line in enumerate(txt[geom_start:]): if line.find('<-- F') > 0: geom_stop = i + geom_start break species = [line.split()[0] for line in txt[geom_start:geom_stop]] geom = array([[float(col) * Bohr for col in line.split()[2:5]] for line in txt[geom_start:geom_stop]]) forces = array([[float(col) * Hartree / Bohr for col in line.split()[2:5]] for line in txt[geom_stop:geom_stop + (geom_stop - geom_start)]]) image = ase.Atoms(species, geom, cell=cell, pbc=True) image.set_calculator(SinglePointCalculator(energy, forces, None, None, image)) traj.append(image) return traj def read_seed(seed, new_seed=None, ignore_internal_keys=False): """A wrapper around the CASTEP Calculator in conjunction with read_cell and read_param. Basically this can be used to reuse a previous calculation which results in a triple of cell/param/castep file. The label of the calculation if pre- fixed with cop_of_ and everything else will be recycled as much as possible from the addressed calculation. """ directory = os.path.abspath(os.path.dirname(seed)) seed = os.path.basename(seed) paramfile = os.path.join(directory, '%s.param' % seed) cellfile = os.path.join(directory, '%s.cell' % seed) castepfile = os.path.join(directory, '%s.castep' % seed) atoms = read_cell(cellfile) atoms.calc._directory = directory atoms.calc._rename_existing_dir = False atoms.calc._castep_pp_path = directory atoms.calc.merge_param(paramfile, ignore_internal_keys=ignore_internal_keys) if new_seed is None: atoms.calc._label = 'copy_of_%s' % seed else: atoms.calc._label = str(new_seed) if os.path.isfile(castepfile): # _set_atoms needs to be True here # but we set it right back to False atoms.calc._set_atoms = True atoms.calc.read(castepfile) atoms.calc._set_atoms = False # sync the top-level object with the # one attached to the calculator atoms = atoms.calc.atoms else: print('Corresponding CASTEP not found.') atoms.calc.push_oldstate() return atoms python-ase-3.6.0.2515/ase/io/siesta.py0000644000175400017540000001754211676635535016253 0ustar askhlaskhlfrom numpy import zeros from os import fstat from re import compile from ase.io.fortranfile import FortranFile def read_rho(fname): "Read unformatted Siesta charge density file" # TODO: # # Handle formatted and NetCDF files. # # Siesta source code (at least 2.0.2) can possibly also # save RHO as a _formatted_ file (the source code seems # prepared, but there seems to be no fdf-options for it though). # Siesta >= 3 has support for saving RHO as a NetCDF file # (according to manual) fh = FortranFile(fname) # Read (but ignore) unit cell vectors x = fh.readReals('d') if len(x) != 3 * 3: raise IOError('Failed to read cell vectors') # Read number of grid points and spin components x = fh.readInts() if len(x) != 4: raise IOError('Failed to read grid size') gpts = x # number of 'X', 'Y', 'Z', 'spin' gridpoints rho = zeros(gpts) for ispin in range(gpts[3]): for n3 in range(gpts[2]): for n2 in range(gpts[1]): x = fh.readReals('f') if len(x) != gpts[0]: raise IOError('Failed to read RHO[:,%i,%i,%i]' % (n2, n3, ispin)) rho[:, n2, n3, ispin] = x fh.close() return rho # # Helper functions for read_fdf # _label_strip_re = compile(r'[\s._-]') def _labelize(raw_label): # Labels are case insensitive and -_. should be ignored, lower and strip it return _label_strip_re.sub('', raw_label).lower() def _is_block(val): # Tell whether value is a block-value or an ordinary value. # A block is represented as a list of lists of strings, # and a ordinary value is represented as a list of strings if type(val) is list and \ len(val) > 0 and \ type(val[0]) is list: return True return False def _get_stripped_lines(fd): # Remove comments, leading blanks, and empty lines return filter(None, [L.split('#')[0].strip() for L in fd]) def _read_fdf_lines(file, inodes=[]): # Read lines and resolve includes if type(file) is str: file = open(file, 'r') fst = fstat(file.fileno()) inode = (fst.st_dev, fst.st_ino) if inode in inodes: raise IOError('Cyclic include in fdf file') inodes = inodes + [inode] lbz = _labelize lines = [] for L in _get_stripped_lines(file): w0 = lbz(L.split(None, 1)[0]) if w0 == '%include': # Include the contents of fname fname = L.split(None, 1)[1].strip() lines += _read_fdf_lines(fname, inodes) elif '<' in L: L, fname = L.split('<', 1) w = L.split() fname = fname.strip() if w0 == '%block': # "%block label < filename" means that the block contents should be read from filename if len(w) != 2: raise IOError('Bad %%block-statement "%s < %s"' % (L, fname)) label = lbz(w[1]) lines.append('%%block %s' % label) lines += _get_stripped_lines(open(fname)) lines.append('%%endblock %s' % label) else: # "label < filename.fdf" means that the label (_only_ that label) is to be resolved from filename.fdf label = lbz(w[0]) fdf = _read_fdf(fname, inodes) if label in fdf: if _is_block(fdf[label]): lines.append('%%block %s' % label) lines += [' '.join(x) for x in fdf[label]] lines.append('%%endblock %s' % label) else: lines.append('%s %s' % (label, ' '.join(fdf[label]))) #else: label unresolved! One should possibly issue a warning about this! else: # Simple include line L lines.append(L) return lines # # The reason for creating a separate _read_fdf is simply to hide the inodes-argument # def _read_fdf(fname, inodes=[]): # inodes is used to detect cyclic includes fdf = {} lbz = _labelize lines = _read_fdf_lines(fname, inodes) while lines: w = lines.pop(0).split(None, 1) if lbz(w[0]) == '%block': # Block value if len(w) == 2: label = lbz(w[1]) content = [] while True: if len(lines) == 0: raise IOError('Unexpected EOF reached in %s, ' 'un-ended block %s' % (fname, label)) w = lines.pop(0).split() if lbz(w[0]) == '%endblock' and lbz(w[1]) == label: break content.append(w) if not label in fdf: # Only first appearance of label is to be used fdf[label] = content else: raise IOError('%%block statement without label' ) else: # Ordinary value label = lbz(w[0]) if len(w) == 1: # Siesta interpret blanks as True for logical variables fdf[label] = [] else: fdf[label] = w[1].split() return fdf def read_fdf(fname): """Read a siesta style fdf-file. The data is returned as a dictionary ( label:value ). All labels are converted to lower case characters and are stripped of any '-', '_', or '.'. Ordinary values are stored as a list of strings (splitted on WS), and block values are stored as list of lists of strings (splitted per line, and on WS). If a label occurres more than once, the first occurrence takes precedence. The implementation applies no intelligence, and does not "understand" the data or the concept of units etc. Values are never parsed in any way, just stored as split strings. The implementation tries to comply with the fdf-format specification as presented in the siesta 2.0.2 manual. An fdf-dictionary could e.g. look like this:: {'atomiccoordinatesandatomicspecies': [ ['4.9999998', '5.7632392', '5.6095972', '1'], ['5.0000000', '6.5518100', '4.9929091', '2'], ['5.0000000', '4.9746683', '4.9929095', '2']], 'atomiccoordinatesformat': ['Ang'], 'chemicalspecieslabel': [['1', '8', 'O'], ['2', '1', 'H']], 'dmmixingweight': ['0.1'], 'dmnumberpulay': ['5'], 'dmusesavedm': ['True'], 'latticeconstant': ['1.000000', 'Ang'], 'latticevectors': [ ['10.00000000', '0.00000000', '0.00000000'], ['0.00000000', '11.52647800', '0.00000000'], ['0.00000000', '0.00000000', '10.59630900']], 'maxscfiterations': ['120'], 'meshcutoff': ['2721.139566', 'eV'], 'numberofatoms': ['3'], 'numberofspecies': ['2'], 'paobasissize': ['dz'], 'solutionmethod': ['diagon'], 'systemlabel': ['H2O'], 'wavefunckpoints': [['0.0', '0.0', '0.0']], 'writedenchar': ['T'], 'xcauthors': ['PBE'], 'xcfunctional': ['GGA']} """ return _read_fdf(fname) def read_struct(fname): """Read a siesta struct file""" from ase.atoms import Atoms, Atom f = open(fname, 'r') cell = [] for i in range(3): cell.append([float(x) for x in f.readline().split()]) natoms = int(f.readline()) atoms = Atoms() for atom in f: Z, pos_x, pos_y, pos_z = atom.split()[1:] atoms.append(Atom(int(Z), position = (float(pos_x), float(pos_y), float(pos_z)))) if len(atoms) != natoms: raise IOError('Badly structured input file') atoms.set_cell(cell, scale_atoms = True) return atoms python-ase-3.6.0.2515/ase/io/fortranfile.py0000644000175400017540000002111011531152214017232 0ustar askhlaskhl# Copyright 2008-2010 Neil Martinsen-Burrell # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. """Defines a file-derived class to read/write Fortran unformatted files. The assumption is that a Fortran unformatted file is being written by the Fortran runtime as a sequence of records. Each record consists of an integer (of the default size [usually 32 or 64 bits]) giving the length of the following data in bytes, then the data itself, then the same integer as before. Examples -------- To use the default endian and precision settings, one can just do: >>> f = FortranFile('filename') >>> x = f.readReals() One can read arrays with varying precisions: >>> f = FortranFile('filename') >>> x = f.readInts('h') >>> y = f.readInts('q') >>> z = f.readReals('f') Where the format codes are those used by Python's struct module. One can change the default endian-ness and header precision: >>> f = FortranFile('filename', endian='>', header_prec='l') for a file with little-endian data whose record headers are long integers. """ __docformat__ = "restructuredtext en" import numpy try: file except NameError: # For python3 compatibility from io import FileIO as file try: bytes except NameError: # For python2.x compatibility, I think it would have been nicer to # "from __future__ import unicode_literals" and used b'' instead of bytes() bytes = str class FortranFile(file): """File with methods for dealing with fortran unformatted data files""" def _get_header_length(self): return numpy.dtype(self._header_prec).itemsize _header_length = property(fget=_get_header_length) def _set_endian(self,c): """Set endian to big (c='>') or little (c='<') or native (c='=') :Parameters: `c` : string The endian-ness to use when reading from this file. """ if c in '<>@=': if c == '@': c = '=' self._endian = c else: raise ValueError('Cannot set endian-ness') def _get_endian(self): return self._endian ENDIAN = property(fset=_set_endian, fget=_get_endian, doc="Possible endian values are '<', '>', '@', '='" ) def _set_header_prec(self, prec): if prec in 'hilq': self._header_prec = prec else: raise ValueError('Cannot set header precision') def _get_header_prec(self): return self._header_prec HEADER_PREC = property(fset=_set_header_prec, fget=_get_header_prec, doc="Possible header precisions are 'h', 'i', 'l', 'q'" ) def __init__(self, fname, endian='@', header_prec='i', *args, **kwargs): """Open a Fortran unformatted file for writing. Parameters ---------- endian : character, optional Specify the endian-ness of the file. Possible values are '>', '<', '@' and '='. See the documentation of Python's struct module for their meanings. The deafult is '>' (native byte order) header_prec : character, optional Specify the precision used for the record headers. Possible values are 'h', 'i', 'l' and 'q' with their meanings from Python's struct module. The default is 'i' (the system's default integer). """ file.__init__(self, fname, *args, **kwargs) self.ENDIAN = endian self.HEADER_PREC = header_prec def _read_exactly(self, num_bytes): """Read in exactly num_bytes, raising an error if it can't be done.""" data = bytes() while True: l = len(data) if l == num_bytes: return data else: read_data = self.read(num_bytes - l) if read_data == bytes(): raise IOError('Could not read enough data.' ' Wanted %d bytes, got %d.' % (num_bytes, l)) data += read_data def _read_check(self): return numpy.fromstring(self._read_exactly(self._header_length), dtype=self.ENDIAN+self.HEADER_PREC )[0] def _write_check(self, number_of_bytes): """Write the header for the given number of bytes""" self.write(numpy.array(number_of_bytes, dtype=self.ENDIAN+self.HEADER_PREC,).tostring() ) def readRecord(self): """Read a single fortran record""" l = self._read_check() data_str = self._read_exactly(l) check_size = self._read_check() if check_size != l: raise IOError('Error reading record from data file') return data_str def writeRecord(self,s): """Write a record with the given bytes. Parameters ---------- s : the string to write """ length_bytes = len(s) self._write_check(length_bytes) self.write(s) self._write_check(length_bytes) def readString(self): """Read a string.""" return self.readRecord() def writeString(self,s): """Write a string Parameters ---------- s : the string to write """ self.writeRecord(s) _real_precisions = 'df' def readReals(self, prec='f'): """Read in an array of real numbers. Parameters ---------- prec : character, optional Specify the precision of the array using character codes from Python's struct module. Possible values are 'd' and 'f'. """ _numpy_precisions = {'d': numpy.float64, 'f': numpy.float32 } if prec not in self._real_precisions: raise ValueError('Not an appropriate precision') data_str = self.readRecord() return numpy.fromstring(data_str, dtype=self.ENDIAN+prec) def writeReals(self, reals, prec='f'): """Write an array of floats in given precision Parameters ---------- reals : array Data to write prec` : string Character code for the precision to use in writing """ if prec not in self._real_precisions: raise ValueError('Not an appropriate precision') nums = numpy.array(reals, dtype=self.ENDIAN+prec) self.writeRecord(nums.tostring()) _int_precisions = 'hilq' def readInts(self, prec='i'): """Read an array of integers. Parameters ---------- prec : character, optional Specify the precision of the data to be read using character codes from Python's struct module. Possible values are 'h', 'i', 'l' and 'q' """ if prec not in self._int_precisions: raise ValueError('Not an appropriate precision') data_str = self.readRecord() return numpy.fromstring(data_str, dtype=self.ENDIAN+prec) def writeInts(self, ints, prec='i'): """Write an array of integers in given precision Parameters ---------- reals : array Data to write prec : string Character code for the precision to use in writing """ if prec not in self._int_precisions: raise ValueError('Not an appropriate precision') nums = numpy.array(ints, dtype=self.ENDIAN+prec) self.writeRecord(nums.tostring()) python-ase-3.6.0.2515/ase/io/xsf.py0000644000175400017540000001164411714705036015543 0ustar askhlaskhlimport numpy as np from ase.atoms import Atoms from ase.units import Hartree from ase.parallel import paropen from ase.calculators.singlepoint import SinglePointCalculator def write_xsf(fileobj, images, data=None): if isinstance(fileobj, str): fileobj = paropen(fileobj, 'w') if not isinstance(images, (list, tuple)): images = [images] fileobj.write('ANIMSTEPS %d\n' % len(images)) numbers = images[0].get_atomic_numbers() pbc = images[0].get_pbc() if pbc[2]: fileobj.write('CRYSTAL\n') elif pbc[1]: fileobj.write('SLAB\n') elif pbc[0]: fileobj.write('POLYMER\n') else: fileobj.write('MOLECULE\n') for n, atoms in enumerate(images): if pbc.any(): fileobj.write('PRIMVEC %d\n' % (n + 1)) cell = atoms.get_cell() for i in range(3): fileobj.write(' %.14f %.14f %.14f\n' % tuple(cell[i])) fileobj.write('PRIMCOORD %d\n' % (n + 1)) # Get the forces if it's not too expensive: calc = atoms.get_calculator() if (calc is not None and (hasattr(calc, 'calculation_required') and not calc.calculation_required(atoms, ['energy', 'forces', 'stress']))): forces = atoms.get_forces() else: forces = None pos = atoms.get_positions() fileobj.write(' %d 1\n' % len(pos)) for a in range(len(pos)): fileobj.write(' %2d' % numbers[a]) fileobj.write(' %20.14f %20.14f %20.14f' % tuple(pos[a])) if forces is None: fileobj.write('\n') else: fileobj.write(' %20.14f %20.14f %20.14f\n' % tuple(forces[a])) if data is None: return fileobj.write('BEGIN_BLOCK_DATAGRID_3D\n') fileobj.write(' data\n') fileobj.write(' BEGIN_DATAGRID_3Dgrid#1\n') data = np.asarray(data) if data.dtype == complex: data = np.abs(data) shape = data.shape fileobj.write(' %d %d %d\n' % shape) cell = atoms.get_cell() origin = np.zeros(3) for i in range(3): if not pbc[i]: origin += cell[i] / shape[i] fileobj.write(' %f %f %f\n' % tuple(origin)) for i in range(3): fileobj.write(' %f %f %f\n' % tuple(cell[i] * (shape[i] + 1) / shape[i])) for x in range(shape[2]): for y in range(shape[1]): fileobj.write(' ') fileobj.write(' '.join(['%f' % d for d in data[x, y]])) fileobj.write('\n') fileobj.write('\n') fileobj.write(' END_DATAGRID_3D\n') fileobj.write('END_BLOCK_DATAGRID_3D\n') def read_xsf(fileobj, index=-1, read_data=True): if isinstance(fileobj, str): fileobj = open(fileobj) readline = fileobj.readline while True: line = readline() if line[0] != '#': line = line.strip() break if 'ANIMSTEPS' in line: nimages = int(line.split()[1]) line = readline().strip() else: nimages = 1 if 'CRYSTAL' in line: pbc = True elif 'SLAB' in line: pbc = (True, True, False) elif 'POLYMER' in line: pbc = (True, False, False) else: pbc = False images = [] for n in range(nimages): cell = None if pbc: line = readline().strip() assert 'PRIMVEC' in line cell = [] for i in range(3): cell.append([float(x) for x in readline().split()]) line = readline().strip() assert 'PRIMCOORD' in line natoms = int(readline().split()[0]) numbers = [] positions = [] for a in range(natoms): line = readline().split() numbers.append(int(line[0])) positions.append([float(x) for x in line[1:]]) positions = np.array(positions) if len(positions[0]) == 3: forces = None else: positions = positions[:, :3] forces = positions[:, 3:] * Hartree image = Atoms(numbers, positions, cell=cell, pbc=pbc) if forces is not None: image.set_calculator(SinglePointCalculator(None, forces, None, None, image)) images.append(image) if read_data: line = readline() assert 'BEGIN_BLOCK_DATAGRID_3D' in line line = readline() assert 'BEGIN_DATAGRID_3D' in line shape = [int(x) for x in readline().split()] start = [float(x) for x in readline().split()] for i in range(3): readline() n_data = shape[0]*shape[1]*shape[2] data = np.array([float(readline()) for s in range(n_data)]).reshape(shape[::-1]) data = np.swapaxes(data, 0, 2) return data, images[index] return images[index] python-ase-3.6.0.2515/ase/io/plt.py0000644000175400017540000000307611575626453015554 0ustar askhlaskhlimport numpy as np from ase.atoms import Atoms def write_plt(filename, atoms, data): if isinstance(atoms, Atoms): cell = atoms.get_cell() else: cell = np.asarray(atoms, float) if cell.ndim == 2: c = cell.copy() cell = c.diagonal() c.flat[::4] = 0.0 if c.any(): raise ValueError('Unit cell must be orthorhombic!') f = open(filename, 'w') np.array([3, 4], np.int32).tofile(f) dims = np.array(data.shape, np.int32) dims[::-1].tofile(f) for n, L in zip(dims[::-1], cell[::-1]): if n % 2 == 0: d = L / n np.array([0.0, L - d], np.float32).tofile(f) else: d = L / (n + 1) np.array([d, L - d], np.float32).tofile(f) if data.dtype == complex: data = np.abs(data) data.astype(np.float32).T.tofile(f) f.close() def read_plt(fileobj): if isinstance(fileobj, str): fileobj = open(fileobj, 'rb') # dummy numbers np.fromfile(fileobj, dtype=np.int32, count=2) # read dimensions dims = np.fromfile(fileobj, dtype=np.int32, count=3) size = dims[0] * dims[1] * dims[2] # read cell cell = np.zeros((3,3), np.float32) for c in range(3): beg, Lmd = np.fromfile(fileobj, dtype=np.float32, count=2) n = dims[c] if n % 2 == 0: cell[2 - c, 2 - c] = Lmd / (1 - 1. / n) else: cell[2 - c, 2 - c] = Lmd / (1 - 1. / (n + 1)) # read data data = np.fromfile(fileobj, dtype=np.float32) return data.reshape(dims).T, cell python-ase-3.6.0.2515/ase/io/netcdf.py0000644000175400017540000000542211410141252016166 0ustar askhlaskhl"""Read and write ASE2's netCDF trajectory files.""" from ase.io.pupynere import NetCDFFile from ase.atoms import Atoms from ase.calculators.singlepoint import SinglePointCalculator def read_netcdf(filename, index=-1): nc = NetCDFFile(filename) dims = nc.dimensions vars = nc.variables positions = vars['CartesianPositions'] numbers = vars['AtomicNumbers'][:] pbc = vars['BoundaryConditions'][:] cell = vars['UnitCell'] tags = vars['Tags'][:] if not tags.any(): tags = None magmoms = vars['MagneticMoments'][:] if not magmoms.any(): magmoms = None nimages = positions.shape[0] attach_calculator = False if 'PotentialEnergy' in vars: energy = vars['PotentialEnergy'] attach_calculator = True else: energy = nimages * [None] if 'CartesianForces' in vars: forces = vars['CartesianForces'] attach_calculator = True else: forces = nimages * [None] if 'Stress' in vars: stress = vars['Stress'] attach_calculator = True else: stress = nimages * [None] if isinstance(index, int): indices = [index] else: indices = range(nimages)[index] images = [] for i in indices: atoms = Atoms(positions=positions[i], numbers=numbers, cell=cell[i], pbc=pbc, tags=tags, magmoms=magmoms) if attach_calculator: calc = SinglePointCalculator(energy[i], forces[i], stress[i], None, atoms) ### Fixme magmoms atoms.set_calculator(calc) images.append(atoms) if isinstance(index, int): return images[0] else: return images class LOA: def __init__(self, images): self.set_atoms(images[0]) def __len__(self): return len(self.atoms) def set_atoms(self, atoms): self.atoms = atoms def GetPotentialEnergy(self): return self.atoms.get_potential_energy() def GetCartesianForces(self): return self.atoms.get_forces() def GetUnitCell(self): return self.atoms.get_cell() def GetAtomicNumbers(self): return self.atoms.get_atomic_numbers() def GetCartesianPositions(self): return self.atoms.get_positions() def GetBoundaryConditions(self): return self.atoms.get_pbc() def write_netcdf(filename, images): from ASE.Trajectories.NetCDFTrajectory import NetCDFTrajectory if not isinstance(images, (list, tuple)): images = [images] loa = LOA(images) traj = NetCDFTrajectory(filename, loa) for atoms in images: loa.set_atoms(atoms) traj.Update() traj.Close() python-ase-3.6.0.2515/ase/io/wien2k.py0000644000175400017540000001327411377656100016145 0ustar askhlaskhlfrom math import sin, cos, pi, sqrt import numpy as np from ase.atoms import Atoms, Atom from ase.units import Bohr, Ry def read_scf(filename): try: f = open(filename + '.scf', 'r') pip = f.readlines() ene = [] for line in pip: if line[0:4] == ':ENE': ene.append(float(line[43:59]) * Ry) f.close() return ene except: return None def read_struct(filename, ase = True): f = open(filename, 'r') pip = f.readlines() lattice = pip[1][0:3] nat = int(pip[1][27:30]) cell = np.zeros(6) for i in range(6): cell[i] = float(pip[3][0 + i * 10:10 + i * 10]) cell[0:3] = cell[0:3] * Bohr if lattice == 'P ': lattice = 'P' elif lattice == 'H ': lattice = 'P' cell[3:6] = [90.0, 90.0, 120.0] elif lattice == 'R ': lattice = 'R' elif lattice == 'F ': lattice = 'F' elif lattice == 'B ': lattice = 'I' elif lattice == 'CXY': lattice = 'C' elif lattice == 'CXZ': lattice = 'B' elif lattice == 'CYZ': lattice = 'A' else: print 'TEST needed' pos = np.array([]) atomtype = [] rmt = [] neq = np.zeros(nat) iline = 4 indif = 0 for iat in range(nat): indifini = indif if len(pos) == 0: pos = np.array([[float(pip[iline][12:22]), float(pip[iline][25:35]), float(pip[iline][38:48])]]) else: pos = np.append(pos, np.array([[float(pip[iline][12:22]), float(pip[iline][25:35]), float(pip[iline][38:48])]]), axis = 0) indif += 1 iline += 1 neq[iat] = int(pip[iline][15:17]) iline += 1 for ieq in range(1, int(neq[iat])): pos = np.append(pos, np.array([[float(pip[iline][12:22]), float(pip[iline][25:35]), float(pip[iline][38:48])]]), axis = 0) indif += 1 iline += 1 for i in range(indif - indifini): atomtype.append(pip[iline][0:2].replace(' ', '')) rmt.append(float(pip[iline][43:48])) iline += 4 if ase: cell2 = coorsys(cell) atoms = Atoms(atomtype, pos, pbc = True) atoms.set_cell(cell2, scale_atoms = True) cell2 = np.dot(c2p(lattice), cell2) if lattice == 'R': atoms.set_cell(cell2, scale_atoms = True) else: atoms.set_cell(cell2) return atoms else: return cell, lattice, pos, atomtype, rmt def write_struct(filename, atoms2 = None, rmt = None, lattice = 'P'): atoms=atoms2.copy() atoms.set_scaled_positions(atoms.get_scaled_positions()) f = file(filename, 'w') f.write('ASE generated\n') nat = len(atoms) if rmt == None: rmt = [2.0] * nat f.write(lattice+' LATTICE,NONEQUIV.ATOMS:%3i\nMODE OF CALC=RELA\n'%nat) cell = atoms.get_cell() metT = np.dot(cell, np.transpose(cell)) cell2 = cellconst(metT) cell2[0:3] = cell2[0:3] / Bohr f.write(('%10.6f' * 6) % tuple(cell2) + '\n') #print atoms.get_positions()[0] for ii in range(nat): f.write('ATOM %3i: ' % (ii + 1)) pos = atoms.get_scaled_positions()[ii] f.write('X=%10.8f Y=%10.8f Z=%10.8f\n' % tuple(pos)) f.write(' MULT= 1 ISPLIT= 1\n') zz = atoms.get_atomic_numbers()[ii] if zz > 71: ro = 0.000005 elif zz > 36: ro = 0.00001 elif zz > 18: ro = 0.00005 else: ro = 0.0001 f.write('%-10s NPT=%5i R0=%9.8f RMT=%10.4f Z:%10.5f\n' % (atoms.get_chemical_symbols()[ii], 781, ro, rmt[ii], zz)) f.write('LOCAL ROT MATRIX: %9.7f %9.7f %9.7f\n' % (1.0, 0.0, 0.0)) f.write(' %9.7f %9.7f %9.7f\n' % (0.0, 1.0, 0.0)) f.write(' %9.7f %9.7f %9.7f\n' % (0.0, 0.0, 1.0)) f.write(' 0\n') def cellconst(metT): aa = np.sqrt(metT[0, 0]) bb = np.sqrt(metT[1, 1]) cc = np.sqrt(metT[2, 2]) gamma = np.arccos(metT[0, 1] / (aa * bb)) / np.pi * 180.0 beta = np.arccos(metT[0, 2] / (aa * cc)) / np.pi * 180.0 alpha = np.arccos(metT[1, 2] / (bb * cc)) / np.pi * 180.0 return np.array([aa, bb, cc, alpha, beta, gamma]) def coorsys(latconst): a = latconst[0] b = latconst[1] c = latconst[2] cal = np.cos(latconst[3] * np.pi / 180.0) cbe = np.cos(latconst[4] * np.pi / 180.0) cga = np.cos(latconst[5] * np.pi / 180.0) sal = np.sin(latconst[3] * np.pi / 180.0) sbe = np.sin(latconst[4] * np.pi / 180.0) sga = np.sin(latconst[5] * np.pi / 180.0) return np.array([[a, b * cga, c * cbe], [0, b * sga, c * (cal - cbe * cga) / sga], [0, 0, c * np.sqrt(1 - cal**2 - cbe**2 - cga**2 + 2 * cal * cbe * cga) / sga]]).transpose() def c2p(lattice): # apply as eg. cell2 = np.dot(ct.c2p('F'), cell) if lattice == 'P': cell = np.eye(3) elif lattice == 'F': cell = np.array([[0.0, 0.5, 0.5], [0.5, 0.0, 0.5], [0.5, 0.5, 0.0]]) elif lattice == 'I': cell = np.array([[-0.5, 0.5, 0.5], [0.5, -0.5, 0.5], [0.5, 0.5, -0.5]]) elif lattice == 'C': cell = np.array([[0.5, 0.5, 0.0], [0.5, -0.5, 0.0], [0.0, 0.0, -1.0]]) elif lattice == 'R': cell = np.array([[2.0 / 3.0, 1.0 / 3.0, 1.0 / 3.0], [-1.0 / 3.0, 1.0 / 3.0, 1.0 / 3.0], [-1.0 / 3.0, -2.0/3.0, 1.0 / 3.0]]) else: print 'lattice is ' + lattice + '!' return cell python-ase-3.6.0.2515/ase/io/pdb.py0000644000175400017540000000523311656735402015512 0ustar askhlaskhlimport numpy as np from ase.atoms import Atom, Atoms from ase.parallel import paropen """Module to read and write atoms in PDB file format""" def read_pdb(fileobj, index=-1): """Read PDB files. The format is assumed to follow the description given in http://www.wwpdb.org/documentation/format32/sect9.html.""" if isinstance(fileobj, str): fileobj = open(fileobj) images = [] atoms = Atoms() for line in fileobj.readlines(): if line.startswith('ATOM') or line.startswith('HETATM'): try: # Atom name is arbitrary and does not necessarily contain the element symbol. # The specification requires the element symbol to be in columns 77+78. symbol = line[76:78].strip().lower().capitalize() words = line[30:55].split() position = np.array([float(words[0]), float(words[1]), float(words[2])]) atoms.append(Atom(symbol, position)) except: pass if line.startswith('ENDMDL'): images.append(atoms) atoms = Atoms() if len(images) == 0: images.append(atoms) return images[index] def write_pdb(fileobj, images): """Write images to PDB-file. The format is assumed to follow the description given in http://www.wwpdb.org/documentation/format32/sect9.html.""" if isinstance(fileobj, str): fileobj = paropen(fileobj, 'w') if not isinstance(images, (list, tuple)): images = [images] if images[0].get_pbc().any(): from ase.lattice.spacegroup.cell import cell_to_cellpar cellpar = cell_to_cellpar( images[0].get_cell()) # ignoring Z-value, using P1 since we have all atoms defined explicitly format = 'CRYST1%9.3f%9.3f%9.3f%7.2f%7.2f%7.2f P 1\n' fileobj.write(format % (cellpar[0], cellpar[1], cellpar[2], cellpar[3], cellpar[4], cellpar[5])) # 1234567 123 6789012345678901 89 67 456789012345678901234567 890 format = 'ATOM %5d %4s MOL 1 %8.3f%8.3f%8.3f 1.00 0.00 %2s \n' # RasMol complains if the atom index exceeds 100000. There might # be a limit of 5 digit numbers in this field. MAXNUM = 100000 symbols = images[0].get_chemical_symbols() natoms = len(symbols) for n,atoms in enumerate(images): fileobj.write('MODEL '+str(n+1)+'\n') p = atoms.get_positions() for a in range(natoms): x, y, z = p[a] fileobj.write(format % (a % MAXNUM, symbols[a], x, y, z, symbols[a].rjust(2))) fileobj.write('ENDMDL\n') python-ase-3.6.0.2515/ase/io/mol.py0000644000175400017540000000111711207220276015517 0ustar askhlaskhlfrom math import pi, cos, sin, sqrt, acos from ase.atoms import Atoms from ase.parallel import paropen def read_mol(fileobj, index=-1): if isinstance(fileobj, str): fileobj = open(fileobj) lines = fileobj.readlines() del(lines[:3]) L1 = lines[0].split() del(lines[0]) natoms = int(L1[0]) positions = [] symbols = [] for line in lines[:natoms]: x, y, z, symbol = line.split()[:4] symbols.append(symbol) positions.append([float(x), float(y), float(z)]) return Atoms(symbols=symbols, positions=positions) python-ase-3.6.0.2515/ase/io/eps.py0000644000175400017540000001432011604536461015526 0ustar askhlaskhlimport time from math import sqrt import numpy as np from ase.utils import rotate from ase.data import covalent_radii from ase.data.colors import jmol_colors class EPS: def __init__(self, atoms, rotation='', show_unit_cell=False, radii=None, bbox=None, colors=None, scale=20): self.numbers = atoms.get_atomic_numbers() self.colors = colors if colors is None: self.colors = jmol_colors[self.numbers] if radii is None: radii = covalent_radii[self.numbers] elif type(radii) is float: radii = covalent_radii[self.numbers] * radii else: radii = np.array(radii) natoms = len(atoms) if isinstance(rotation, str): rotation = rotate(rotation) A = atoms.get_cell() if show_unit_cell > 0: L, T, D = self.cell_to_lines(A) C = np.empty((2, 2, 2, 3)) for c1 in range(2): for c2 in range(2): for c3 in range(2): C[c1, c2, c3] = np.dot([c1, c2, c3], A) C.shape = (8, 3) C = np.dot(C, rotation) # Unit cell vertices else: L = np.empty((0, 3)) T = None D = None C = None nlines = len(L) X = np.empty((natoms + nlines, 3)) R = atoms.get_positions() X[:natoms] = R X[natoms:] = L r2 = radii**2 for n in range(nlines): d = D[T[n]] if ((((R - L[n] - d)**2).sum(1) < r2) & (((R - L[n] + d)**2).sum(1) < r2)).any(): T[n] = -1 X = np.dot(X, rotation) R = X[:natoms] if bbox is None: X1 = (R - radii[:, None]).min(0) X2 = (R + radii[:, None]).max(0) if show_unit_cell == 2: X1 = np.minimum(X1, C.min(0)) X2 = np.maximum(X2, C.max(0)) M = (X1 + X2) / 2 S = 1.05 * (X2 - X1) w = scale * S[0] if w > 500: w = 500 scale = w / S[0] h = scale * S[1] offset = np.array([scale * M[0] - w / 2, scale * M[1] - h / 2, 0]) else: w = (bbox[2] - bbox[0]) * scale h = (bbox[3] - bbox[1]) * scale offset = np.array([bbox[0], bbox[1], 0]) * scale self.w = w self.h = h X *= scale X -= offset if nlines > 0: D = np.dot(D, rotation)[:, :2] * scale if C is not None: C *= scale C -= offset A = np.dot(A, rotation) A *= scale self.A = A self.X = X self.D = D self.T = T self.C = C self.natoms = natoms self.d = 2 * scale * radii def cell_to_lines(self, A): nlines = 0 nn = [] for c in range(3): d = sqrt((A[c]**2).sum()) n = max(2, int(d / 0.3)) nn.append(n) nlines += 4 * n X = np.empty((nlines, 3)) T = np.empty(nlines, int) D = np.zeros((3, 3)) n1 = 0 for c in range(3): n = nn[c] dd = A[c] / (4 * n - 2) D[c] = dd P = np.arange(1, 4 * n + 1, 4)[:, None] * dd T[n1:] = c for i, j in [(0, 0), (0, 1), (1, 0), (1, 1)]: n2 = n1 + n X[n1:n2] = P + i * A[(c + 1) % 3] + j * A[(c + 2) % 3] n1 = n2 return X, T, D def write(self, filename): self.filename = filename self.write_header() self.write_body() self.write_trailer() def write_header(self): import matplotlib if matplotlib.__version__ <= '0.8': raise RuntimeError('Your version of matplotlib (%s) is too old' % matplotlib.__version__) from matplotlib.backends.backend_ps import RendererPS, \ GraphicsContextPS, psDefs self.fd = open(self.filename, 'w') self.fd.write('%!PS-Adobe-3.0 EPSF-3.0\n') self.fd.write('%%Creator: G2\n') self.fd.write('%%CreationDate: %s\n' % time.ctime(time.time())) self.fd.write('%%Orientation: portrait\n') bbox = (0, 0, self.w, self.h) self.fd.write('%%%%BoundingBox: %d %d %d %d\n' % bbox) self.fd.write('%%EndComments\n') Ndict = len(psDefs) self.fd.write('%%BeginProlog\n') self.fd.write('/mpldict %d dict def\n' % Ndict) self.fd.write('mpldict begin\n') for d in psDefs: d = d.strip() for l in d.split('\n'): self.fd.write(l.strip() + '\n') self.fd.write('%%EndProlog\n') self.fd.write('mpldict begin\n') self.fd.write('%d %d 0 0 clipbox\n' % (self.w, self.h)) self.renderer = RendererPS(self.w, self.h, self.fd) def write_body(self): try: from matplotlib.path import Path except ImportError: Path = None from matplotlib.patches import Circle, Polygon else: from matplotlib.patches import Circle, PathPatch indices = self.X[:, 2].argsort() for a in indices: xy = self.X[a, :2] if a < self.natoms: r = self.d[a] / 2 if ((xy[1] + r > 0) and (xy[1] - r < self.h) and (xy[0] + r > 0) and (xy[0] - r < self.w)): circle = Circle(xy, r, facecolor=self.colors[a]) circle.draw(self.renderer) else: a -= self.natoms c = self.T[a] if c != -1: hxy = self.D[c] if Path is None: line = Polygon((xy + hxy, xy - hxy)) else: line = PathPatch(Path((xy + hxy, xy - hxy))) line.draw(self.renderer) def write_trailer(self): self.fd.write('end\n') self.fd.write('showpage\n') self.fd.close() def write_eps(filename, atoms, **parameters): if isinstance(atoms, list): assert len(atoms) == 1 atoms = atoms[0] EPS(atoms, **parameters).write(filename) python-ase-3.6.0.2515/ase/io/findsym.py0000644000175400017540000000227011473434675016421 0ustar askhlaskhlfrom ase.atoms import Atoms from ase.parallel import paropen def write_findsym(fileobj, images): if isinstance(fileobj, str): fileobj = paropen(fileobj, 'w') if not isinstance(images, (list, tuple)): images = [images] symbols = images[0].get_chemical_symbols() natoms = len(symbols) for atoms in images: formula = atoms.get_chemical_symbols(True) accuracy = 1.0e-4 # Write Comment fileobj.write('%s\n' % formula) fileobj.write('%f accuracy\n' % accuracy) fileobj.write('1 vectors in cartesian coordinates\n') # Write cartesian coordinates of vectors for x, y, z in atoms.cell: fileobj.write('%22.15f %22.15f %22.15f\n' % (x, y, z)) fileobj.write('1 no known centering\n') fileobj.write('1 0 0 \n') fileobj.write('0 1 0 \n') fileobj.write('0 0 1 \n') fileobj.write('%d\n' % natoms) numbers = atoms.get_atomic_numbers() for n in numbers: fileobj.write('%d ' % (n)) fileobj.write('\n') for x, y, z in atoms.get_positions(): fileobj.write('%22.15f %22.15f %22.15f\n' % (x, y, z)) python-ase-3.6.0.2515/ase/io/ascii.py0000644000175400017540000000106710712434106016023 0ustar askhlaskhlfrom ase.atoms import Atoms def write_ascii(fileobj, images): if isinstance(fileobj, str): fileobj = open(fileobj, 'w') if not isinstance(images, (list, tuple)): images = [images] fileobj.write('atoms = ') else: fileobj.write('images = [') symbols = images[0].get_chemical_symbols() natoms = len(symbols) for atoms in images: fileobj.write('%d\n\n' % natoms) for s, (x, y, z) in zip(symbols, atoms.get_positions()): fileobj.write('%-2s %22.15f %22.15f %22.15f\n' % (s, x, y, z)) python-ase-3.6.0.2515/ase/io/png.py0000644000175400017540000000233011703141460015510 0ustar askhlaskhlfrom ase.io.eps import EPS class PNG(EPS): def write_header(self): from matplotlib.backends.backend_agg import RendererAgg try: from matplotlib.transforms import Value except ImportError: dpi = 72 else: dpi = Value(72) self.renderer = RendererAgg(self.w, self.h, dpi) #self.gc = GraphicsContextBase() #self.gc.set_linewidth(2) def write_trailer(self): renderer = self.renderer if hasattr(renderer._renderer, 'write_png'): # Old version of matplotlib: renderer._renderer.write_png(self.filename) else: x = renderer._renderer.buffer_rgba(0, 0) from matplotlib import _png _png.write_png(renderer._renderer.buffer_rgba(0, 0), renderer.width, renderer.height, self.filename, 72) def write_png(filename, atoms, **parameters): if isinstance(atoms, list): if len(atoms) > 1: raise RuntimeError("Don't know how to save more than "+ "one image to PNG image!") else: atoms = atoms[0] PNG(atoms, **parameters).write(filename) python-ase-3.6.0.2515/ase/io/xyz.py0000644000175400017540000000231711655752304015576 0ustar askhlaskhlfrom ase.atoms import Atoms from ase.parallel import paropen def read_xyz(fileobj, index=-1): if isinstance(fileobj, str): fileobj = open(fileobj) lines = fileobj.readlines() L1 = lines[0].split() if len(L1) == 1: del lines[:2] natoms = int(L1[0]) else: natoms = len(lines) images = [] while len(lines) >= natoms: positions = [] symbols = [] for line in lines[:natoms]: symbol, x, y, z = line.split()[:4] symbol = symbol.lower().capitalize() symbols.append(symbol) positions.append([float(x), float(y), float(z)]) images.append(Atoms(symbols=symbols, positions=positions)) del lines[:natoms + 2] return images[index] def write_xyz(fileobj, images): if isinstance(fileobj, str): fileobj = paropen(fileobj, 'w') if not isinstance(images, (list, tuple)): images = [images] symbols = images[0].get_chemical_symbols() natoms = len(symbols) for atoms in images: fileobj.write('%d\n\n' % natoms) for s, (x, y, z) in zip(symbols, atoms.get_positions()): fileobj.write('%-2s %22.15f %22.15f %22.15f\n' % (s, x, y, z)) python-ase-3.6.0.2515/ase/io/bundletrajectory.py0000644000175400017540000007602311600331247020316 0ustar askhlaskhl"""bundletrajectory - a module for I/O from large MD simulations. The BundleTrajectory class writes trajectory into a directory with the following structure:: filename.bundle (dir) metadata.pickle Data about the file format, and about which data is present. state.pickle The number of frames F0 (dir) Frame number 0 small.pickle Small data structures in a dictionary (pbc, cell, ...) numbers.pickle Atomic numbers positions.pickle Positions momenta.pickle Momenta ... F1 (dir) """ import ase.parallel from ase.parallel import paropen from ase.calculators.singlepoint import SinglePointCalculator import numpy as np import os import shutil import time import cPickle as pickle class BundleTrajectory: """Reads and writes atoms into a .bundle directory. The BundleTrajectory is an alternative way of storing trajectories, intended for large-scale molecular dynamics simulations, where a single flat file becomes unwieldy. Instead, the data is stored in directory, a 'bundle' (the name bundle is inspired from bundles in Mac OS, which are really just directories the user is supposed to think of as a single file-like unit). Parameters: filename: The name of the directory. Preferably ending in .bundle. mode (optional): The file opening mode. 'r' means open for reading, 'w' for writing and 'a' for appending. Default: 'r'. If opening in write mode, and the filename already exists, the old file is renamed to .bak (any old .bak file is deleted), except if the existing file is empty. atoms (optional): The atoms that will be written. Can only be specified in write or append mode. If not specified, the atoms must be given as an argument to the .write() method instead. backup=True: Use backup=False to disable renaming of an existing file. """ slavelog = True # Log from all nodes def __init__(self, filename, mode='r', atoms=None, backup=True): self.state = 'constructing' self.filename = filename self.pre_observers = [] # Callback functions before write is performed self.post_observers = [] # Callback functions after write is performed self.master = ase.parallel.rank == 0 self.extra_data = [] self._set_defaults() self._set_backend() if mode == 'r': if atoms is not None: raise ValueError("You cannot specify atoms in read mode.") self._open_read() elif mode == 'w': self._open_write(atoms, backup) elif mode == 'a': self._open_append(atoms) def _set_defaults(self): "Set default values for internal parameters." self.version = 1 self.subtype = 'normal' self.backend_name = 'pickle' self.datatypes = {'positions': True, 'numbers': 'once', 'tags': 'once', 'masses': 'once', 'momenta': True, 'forces': True, 'energy': True, 'energies': False, 'stress': False, 'magmoms': True } def _set_backend(self, backend=None): """Set the backed doing the actual I/O.""" if backend is not None: self.backend_name = backend if self.backend_name == 'pickle': self.backend = PickleBundleBackend(self.master) else: raise NotImplementedError( "This version of ASE cannot use BundleTrajectory with backend '%s'" % self.backend_name) def write(self, atoms=None): """Write the atoms to the file. If the atoms argument is not given, the atoms object specified when creating the trajectory object is used. """ # Check that we are in write mode if self.state == 'prewrite': self.state = 'write' assert self.nframes == 0 elif self.state != 'write': raise RuntimeError('Cannot write in ' + self.state + ' mode.') if atoms is None: atoms = self.atoms if hasattr(atoms, 'interpolate'): # seems to be a NEB self.log('Beginning to write NEB data') neb = atoms assert not neb.parallel try: neb.get_energies_and_forces(all=True) except AttributeError: pass for image in neb.images: self.write(image) self.log('Done writing NEB data') return # OK, it is a real atoms object. Write it. self._call_observers(self.pre_observers) self.log("Beginning to write frame " + str(self.nframes)) framedir = self._make_framedir(self.nframes) # Check which data should be written the first time: # Modify datatypes so any element of type 'once' becomes true # for the first frame but false for subsequent frames. datatypes = {} for k, v in self.datatypes.items(): if v == 'once': v = (self.nframes == 0) datatypes[k] = v # Write 'small' data structures. They are written jointly. smalldata = {'pbc': atoms.get_pbc(), 'cell': atoms.get_cell(), 'natoms': atoms.get_number_of_atoms(), 'constraints': atoms.constraints, } if datatypes.get('energy'): try: smalldata['energy'] = atoms.get_potential_energy() except (RuntimeError, NotImplementedError): self.datatypes['energy'] = False if datatypes.get('stress'): try: smalldata['stress'] = atoms.get_stress() except NotImplementedError: self.datatypes['stress'] = False self.backend.write_small(framedir, smalldata) # Write the large arrays. if datatypes.get('positions'): self.backend.write(framedir, 'positions', atoms.get_positions()) if datatypes.get('numbers'): self.backend.write(framedir, 'numbers', atoms.get_atomic_numbers()) if datatypes.get('tags'): if atoms.has('tags'): self.backend.write(framedir, 'tags', atoms.get_tags()) else: self.datatypes['tags'] = False if datatypes.get('masses'): if atoms.has('masses'): self.backend.write(framedir, 'masses', atoms.get_masses()) else: self.datatypes['masses'] = False if datatypes.get('momenta'): if atoms.has('momenta'): self.backend.write(framedir, 'momenta', atoms.get_momenta()) else: self.datatypes['momenta'] = False if datatypes.get('magmoms'): if atoms.has('magmoms'): self.backend.write(framedir, 'magmoms', atoms.get_magmoms()) else: self.datatypes['magmoms'] = False if datatypes.get('forces'): try: x = atoms.get_forces() except (RuntimeError, NotImplementedError): self.datatypes['forces'] = False else: self.backend.write(framedir, 'forces', x) del x if datatypes.get('energies'): try: x = atoms.get_potential_energies() except (RuntimeError, NotImplementedError): self.datatypes['energies'] = False else: self.backend.write(framedir, 'energies', x) del x # Write any extra data for (label, source, once) in self.extra_data: if self.nframes == 0 or not once: if source is not None: x = source() else: x = atoms.arrays[label] self.backend.write(framedir, label, x) del x if once: self.datatypes[label] = 'once' else: self.datatypes[label] = True # Finally, write metadata if it is the first frame if self.nframes == 0: metadata = {'datatypes': self.datatypes} self._write_metadata(metadata) self._write_nframes(self.nframes + 1) self._call_observers(self.post_observers) self.log("Done writing frame " + str(self.nframes)) self.nframes += 1 def select_data(self, data, value): """Selects if a given data type should be written. Data can be written in every frame (specify True), in the first frame only (specify 'only') or not at all (specify False). Not all data types support the 'only' keyword, if not supported it is interpreted as True. The following data types are supported, the letter in parenthesis indicates the default: positions (T), numbers (O), tags (O), masses (O), momenta (T), forces (T), energy (T), energies (F), stress (F), magmoms (T) If a given property is not present during the first write, it will be not be saved at all. """ if value not in (True, False, 'once'): raise ValueError("Unknown write mode") if data not in self.datatypes: raise ValueError("Unsupported data type: " + data) self.datatypes[data] = value def set_extra_data(self, name, source=None, once=False): """Adds extra data to be written. Parameters: name: The name of the data. source (optional): If specified, a callable object returning the data to be written. If not specified it is instead assumed that the atoms contains the data as an array of the same name. once (optional): If specified and True, the data will only be written to the first frame. """ self.extra_data.append((name, source, once)) def close(self): "Closes the trajectory." self.state = 'closed' lf = getattr(self, 'logfile', None) if lf is not None: lf.close() del self.logfile def log(self, text): """Write to the log file in the bundle. Logging is only possible in write/append mode. This function is mainly for internal use, but can also be called by the user. """ if not (self.master or self.slavelog): return text = time.asctime() + ': ' + text if hasattr(self, "logfile"): # Logging enabled if self.logfile is None: # Logfile not yet open try: self.logdata.append(text) except AttributeError: self.logdata = [text] else: self.logfile.write(text + '\n') self.logfile.flush() else: raise RuntimeError("Cannot write to log file in mode " + self.state) # __getitem__ is the main reading method. def __getitem__(self, n): return self._read(n) def _read(self, n): "Read an atoms object from the BundleTrajectory." if self.state != 'read': raise IOError('Cannot read in %s mode' % (self.state,)) if n < 0: n += self.nframes if n < 0 or n >= self.nframes: raise IndexError('Trajectory index %d out of range [0, %d[' % (n, self.nframes)) framedir = os.path.join(self.filename, 'F' + str(n)) framezero = os.path.join(self.filename, 'F0') smalldata = self.backend.read_small(framedir) data = {} data['pbc'] = smalldata['pbc'] data['cell'] = smalldata['cell'] data['constraint'] = smalldata['constraints'] if self.subtype == 'split': self.backend.set_fragments(smalldata['fragments']) atom_id = self.backend.read_split(framedir, 'ID') else: atom_id = None atoms = ase.Atoms(**data) natoms = smalldata['natoms'] for name in ('positions', 'numbers', 'tags', 'masses', 'momenta'): if self.datatypes.get(name): atoms.arrays[name] = self._read_data(framezero, framedir, name, atom_id) assert len(atoms.arrays[name]) == natoms # Create the atoms object if self.datatypes.get('energy'): if self.datatypes.get('forces'): forces = self.backend.read(framedir, 'forces') else: forces = None if self.datatypes.get('magmoms'): magmoms = self.backend.read(framedir, 'magmoms') else: magmoms = None calc = SinglePointCalculator(smalldata.get('energy'), forces, smalldata.get('stress'), magmoms, atoms) atoms.set_calculator(calc) return atoms def read_extra_data(self, name, n=0): """Read extra data stored alongside the atoms. Currently only used to read data stored by an NPT dynamics object. The data is not associated with individual atoms. """ if self.state != 'read': raise IOError('Cannot read extra data in %s mode' % (self.state,)) # Handle negative n. if n < 0: n += self.nframes if n < 0 or n >= self.nframes: raise IndexError('Trajectory index %d out of range [0, %d[' % (n, self.nframes)) framedir = os.path.join(self.filename, 'F' + str(n)) return self.backend.read(framedir, name) def _read_data(self, f0, f, name, atom_id): "Read single data item." if self.subtype == 'normal': if self.datatypes[name] == 'once': d = self.backend.read(f0, name) else: d = self.backend.read(f, name) elif self.subtype == 'split': if self.datatypes[name] == 'once': d = self.backend.read_split(f0, name) else: d = self.backend.read_split(f, name) if atom_id is not None: assert len(d) == len(atom_id) d = d[atom_id] return d def __len__(self): return self.nframes def _open_log(self): if not (self.master or self.slavelog): return if self.master: lfn = os.path.join(self.filename, "log.txt") else: lfn = os.path.join(self.filename, ("log-node%d.txt" % (ase.parallel.rank,))) self.logfile = open(lfn, "a") # Append to log if it exists. if hasattr(self, 'logdata'): for text in self.logdata: self.logfile.write(text + '\n') self.logfile.flush() del self.logdata def _open_write(self, atoms, backup): "Open a bundle trajectory for writing." self.logfile = None # Enable delayed logging self.atoms = atoms if os.path.exists(self.filename): # The output directory already exists. if not self.is_bundle(self.filename): raise IOError("Filename '" + self.filename + "' already exists, but is not a BundleTrajectory." + "Cowardly refusing to remove it.") ase.parallel.barrier() # All must have time to see it exists. if self.is_empty_bundle(self.filename): self.log('Deleting old "%s" as it is empty' % (self.filename,)) self.delete_bundle(self.filename) elif not backup: self.log('Deleting old "%s" as backup is turned off.' % (self.filename,)) self.delete_bundle(self.filename) else: # Make a backup file bakname = self.filename + '.bak' if os.path.exists(bakname): ase.parallel.barrier() # All must see it exists self.log('Deleting old backup file "%s"' % (bakname,)) self.delete_bundle(bakname) self.log('Renaming "%s" to "%s"' % (self.filename, bakname)) self._rename_bundle(self.filename, bakname) # Ready to create a new bundle. self.log('Creating new "%s"' % (self.filename,)) self._make_bundledir(self.filename) self.state = 'prewrite' self._write_metadata({}) self._write_nframes(0) # Mark new bundle as empty self._open_log() self.nframes = 0 def _open_read(self): "Open a bundle trajectory for reading." if not os.path.exists(self.filename): raise IOError('File not found: ' + self.filename) if not self.is_bundle(self.filename): raise IOError('Not a BundleTrajectory: ' + self.filename) self.state = 'read' # Read the metadata metadata = self._read_metadata() self.metadata = metadata if metadata['version'] > self.version: raise NotImplementedError( "This version of ASE cannot read a BundleTrajectory version " + str(metadata['version'])) if metadata['subtype'] not in ('normal', 'split'): raise NotImplementedError( "This version of ASE cannot read BundleTrajectory subtype " + metadata['subtype']) self.subtype = metadata['subtype'] self._set_backend(metadata['backend']) self.nframes = self._read_nframes() if self.nframes == 0: raise IOError("Empty BundleTrajectory") self.datatypes = metadata['datatypes'] self.state = 'read' def _write_nframes(self, n): "Write the number of frames in the bundle." assert self.state == 'write' or self.state == 'prewrite' f = paropen(os.path.join(self.filename, "frames"), "w") f.write(str(n) + '\n') f.close() def _read_nframes(self): "Read the number of frames." f = open(os.path.join(self.filename, 'frames')) n = int(f.read()) return n def _write_metadata(self, metadata): """Write the metadata file of the bundle. Modifies the medadata dictionary! """ # Add standard fields that must always be present. assert self.state == 'write' or self.state == 'prewrite' metadata['format'] = 'BundleTrajectory' metadata['version'] = self.version metadata['subtype'] = self.subtype metadata['backend'] = self.backend_name f = paropen(os.path.join(self.filename, "metadata"), "w") pickle.dump(metadata, f, -1) f.close() def _read_metadata(self): """Read the metadata.""" assert self.state == 'read' f = open(os.path.join(self.filename, 'metadata')) metadata = pickle.load(f) f.close() return metadata @staticmethod def is_bundle(filename): """Check if a filename exists and is a BundleTrajectory.""" if not os.path.isdir(filename): return False metaname = os.path.join(filename, 'metadata') if not os.path.isfile(metaname): return False f = open(metaname) mdata = pickle.load(f) f.close() try: return mdata['format'] == 'BundleTrajectory' except KeyError: return False @staticmethod def is_empty_bundle(filename): """Check if a filename is an empty bundle. Assumes that it is a bundle.""" f = open(os.path.join(filename, "frames")) nframes = int(f.read()) ase.parallel.barrier() # File may be removed by the master immediately after this. return nframes == 0 @classmethod def delete_bundle(cls, filename): "Deletes a bundle." if ase.parallel.rank == 0: # Only the master deletes if not cls.is_bundle(filename): raise IOError("Cannot remove '%s' as it is not a bundle trajectory." % (filename,)) if os.path.islink(filename): # A symbolic link to a bundle. Only remove the link. os.remove(filename) else: # A real bundle shutil.rmtree(filename) else: # All other tasks wait for the directory to go away. while os.path.exists(filename): time.sleep(1) # The master may not proceed before all tasks have seen the # directory go away, as it might otherwise create a new bundle # with the same name, fooling the wait loop in _make_bundledir. ase.parallel.barrier() def _rename_bundle(self, oldname, newname): "Rename a bundle. Used to create the .bak" if self.master: os.rename(oldname, newname) else: while os.path.exists(oldname): time.sleep(1) # The master may not proceed before all tasks have seen the # directory go away. ase.parallel.barrier() def _make_bundledir(self, filename): """Make the main bundle directory. Since all MPI tasks might write to it, all tasks must wait for the directory to appear. """ self.log("Making directory " + filename) assert not os.path.isdir(filename) ase.parallel.barrier() if self.master: os.mkdir(filename) else: i = 0 while not os.path.isdir(filename): time.sleep(1) i += 1 if i > 10: self.log("Waiting %d seconds for %s to appear!" % (i, filename)) def _make_framedir(self, frame): """Make subdirectory for the frame. As only the master writes to it, no synchronization between MPI tasks is necessary. """ framedir = os.path.join(self.filename, "F" + str(frame)) if self.master: os.mkdir(framedir) return framedir def pre_write_attach(self, function, interval=1, *args, **kwargs): """Attach a function to be called before writing begins. function: The function or callable object to be called. interval: How often the function is called. Default: every time (1). All other arguments are stored, and passed to the function. """ if not callable(function): raise ValueError("Callback object must be callable.") self.pre_observers.append((function, interval, args, kwargs)) def post_write_attach(self, function, interval=1, *args, **kwargs): """Attach a function to be called after writing ends. function: The function or callable object to be called. interval: How often the function is called. Default: every time (1). All other arguments are stored, and passed to the function. """ if not callable(function): raise ValueError("Callback object must be callable.") self.post_observers.append((function, interval, args, kwargs)) def _call_observers(self, obs): "Call pre/post write observers." for function, interval, args, kwargs in obs: if (self.nframes + 1) % interval == 0: function(*args, **kwargs) class PickleBundleBackend: """Backend for writing BundleTrajectories stored as pickle files.""" def __init__(self, master): # Store if this backend will actually write anything self.writesmall = master self.writelarge = master def write_small(self, framedir, smalldata): "Write small data to be written jointly." if self.writesmall: f = open(os.path.join(framedir, "smalldata.pickle"), "w") pickle.dump(smalldata, f, -1) f.close() def write(self, framedir, name, data): "Write data to separate file." if self.writelarge: fn = os.path.join(framedir, name + '.pickle') f = open(fn, "w") try: info = (data.shape, str(data.dtype)) except AttributeError: info = None pickle.dump(info, f, -1) pickle.dump(data, f, -1) f.close() def read_small(self, framedir): "Read small data." f = open(os.path.join(framedir, "smalldata.pickle")) data = pickle.load(f) f.close() return data def read(self, framedir, name): "Read data from separate file." fn = os.path.join(framedir, name + '.pickle') f = open(fn) pickle.load(f) # Discarded. data = pickle.load(f) f.close() return data def read_info(self, framedir, name, split=None): "Read information about file contents without reading the data." fn = os.path.join(framedir, name + '.pickle') if split is None or os.path.exists(fn): f = open(fn) info = pickle.load(f) f.close() return info else: for i in range(split): fn = os.path.join(framedir, name + '_' + str(i) + '.pickle') f = open(fn) info = pickle.load(f) f.close() if i == 0: shape = list(info[0]) dtype = info[1] else: shape[0] += info[0][0] assert dtype == info[1] return (tuple(shape), dtype) def set_fragments(self, nfrag): self.nfrag = nfrag def read_split(self, framedir, name): "Read data from multiple files." data = [] for i in range(self.nfrag): suf = "_%d" % (i,) fn = os.path.join(framedir, name + suf + '.pickle') f = open(fn) shape = pickle.load(f) # Discarded. data.append(pickle.load(f)) f.close() return np.concatenate(data) def read_bundletrajectory(filename, index=-1): """Reads one or more atoms objects from a BundleTrajectory. Arguments: filename: str The name of the bundle (really a directory!) index: int An integer specifying which frame to read, or an index object for reading multiple frames. Default: -1 (reads the last frame). """ traj = BundleTrajectory(filename, mode='r') if isinstance(index, int): return traj[index] else: # Here, we try to read only the configurations we need to read # and len(traj) should only be called if we need to as it will # read all configurations! # XXX there must be a simpler way? step = index.step or 1 if step > 0: start = index.start or 0 if start < 0: start += len(traj) stop = index.stop or len(traj) if stop < 0: stop += len(traj) else: if index.start is None: start = len(traj) - 1 else: start = index.start if start < 0: start += len(traj) if index.stop is None: stop = -1 else: stop = index.stop if stop < 0: stop += len(traj) return [traj[i] for i in range(start, stop, step)] def write_bundletrajectory(filename, images): """Write image(s) to a BundleTrajectory. Write also energy, forces, and stress if they are already calculated. """ traj = BundleTrajectory(filename, mode='w') if not isinstance(images, (list, tuple)): images = [images] for atoms in images: # Avoid potentially expensive calculations: calc = atoms.get_calculator() if hasattr(calc, 'calculation_required'): for quantity in ('energy', 'forces', 'stress', 'magmoms'): traj.select_data(quantity, not calc.calculation_required(atoms, [quantity])) traj.write(atoms) traj.close() def print_bundletrajectory_info(filename): """Prints information about a BundleTrajectory. Mainly intended to be called from a command line tool. """ if not BundleTrajectory.is_bundle(filename): raise ValueError, "Not a BundleTrajectory!" if BundleTrajectory.is_empty_bundle(filename): print filename, "is an empty BundleTrajectory." return # Read the metadata f = open(os.path.join(filename, 'metadata')) metadata = pickle.load(f) f.close() print "Metadata information of BundleTrajectory '%s':" % (filename,) for k, v in metadata.items(): if k != 'datatypes': print " %s: %s" % (k, v) f = open(os.path.join(filename, 'frames')) nframes = int(f.read()) print "Number of frames: %i" % (nframes,) print "Data types:" for k, v in metadata['datatypes'].items(): if v == 'once': print " %s: First frame only." % (k,) elif v: print " %s: All frames." % (k,) # Look at first frame if metadata['backend'] == 'pickle': backend = PickleBundleBackend(True) else: raise NotImplementedError("Backend %s not supported." % (metadata['backend'],)) frame = os.path.join(filename, "F0") small = backend.read_small(frame) print "Contents of first frame:" for k, v in small.items(): if k == 'constraints': if v: print " %i constraints are present" else: print " Constraints are absent." elif k == 'pbc': print " Periodic boundary conditions: %s" % (str(v),) elif k == 'natoms': print " Number of atoms: %i" % (v,) elif hasattr(v, 'shape'): print " %s: shape = %s, type = %s" % (k, str(v.shape), str(v.dtype)) else: print " %s: %s" % (k, str(v)) # Read info from separate files. for k, v in metadata['datatypes'].items(): if v and not k in small: info = backend.read_info(frame, k) if info and isinstance(info[0], tuple): shape, dtype = info else: shape = info dtype = 'unknown' print " %s: shape = %s, type = %s" % (k, str(shape), dtype) if __name__ == '__main__': from ase.lattice.cubic import FaceCenteredCubic from ase.io import read, write atoms = FaceCenteredCubic(size=(5, 5, 5), symbol='Au') write('test.bundle', atoms) atoms2 = read('test.bundle') assert (atoms.get_positions() == atoms2.get_positions()).all() assert (atoms.get_atomic_numbers() == atoms2.get_atomic_numbers()).all() python-ase-3.6.0.2515/ase/io/iwm.py0000644000175400017540000000221111222662616015525 0ustar askhlaskhlfrom math import pi, cos, sin, sqrt, acos import numpy as np from ase.data import chemical_symbols from ase.atoms import Atoms from ase.parallel import paropen iwm_symbols = {'1' : 'C', '2' : 'Au', '5' : 'Ag'} def read_iwm(fileobj, index=-1): if isinstance(fileobj, str): fileobj = open(fileobj) lines = fileobj.readlines() L1 = lines[1].split() if len(L1) == 1: del lines[:3] natoms = int(L1[0]) else: natoms = len(lines) images = [] positions = [] symbols = [] for line in lines[:natoms]: symbol, mass, x, y, z = line.split()[:5] if symbol in iwm_symbols: symbols.append(iwm_symbols[symbol]) else: symbols.append(chemical_symbols[int(symbol)]) positions.append([float(x), float(y), float(z)]) del(lines[natoms:3 * natoms + 3]) cell = [] for line in lines[natoms:natoms+3]: x, y, z = line.split()[:3] cell.append(np.array([float(x), float(y), float(z)])) images.append(Atoms(symbols=symbols, positions=positions, cell=cell)) return images[index] python-ase-3.6.0.2515/ase/xrdebye.py0000644000175400017540000000711111401133550015755 0ustar askhlaskhlfrom math import exp, pi, sin, sqrt, cos, acos import numpy as np from ase.data import atomic_numbers # Table (1) of # D. WAASMAIER AND A. KIRFEL, Acta Cryst. (1995). A51, 416-431 waasmaier = { # a1 b1 a2 b2 a3 b3 a4 b4 a5 b5 c 'C' : [2.657506, 14.780758, 1.078079, 0.776775, 1.490909, 42.086843, -4.241070, -0.000294, 0.713791, 0.239535, 4.297983], 'S' : [6.372157, 1.514347, 5.154568, 22.092528, 1.473732, 0.061373, 1.635073, 55.445176, 1.209372, 0.646925, 0.154722], 'Pd': [6.121511, 0.062549, 4.784063, 0.784031, 16.631683, 8.751391, 4.318258, 34.489983, 13.246773, 0.784031, 0.883099], 'Ag': [6.073874, 0.055333, 17.155437, 7.896512, 4.173344, 28.443739, 0.852238, 110.376108, 17.988685, 0.716809, 0.756603], 'Au': [16.777389, 0.122737, 19.317156, 8.621570, 32.979682, 1.256902, 5.595453, 38.008821, 10.576854, 0.000601, -6.279078], 'P' : [1.950541, 0.908139, 4.146930, 27.044953, 1.494560, 0.071280, 1.522042, 67.520190, 5.729711, 1.981173, 0.155233], 'Cl': [1.446071, 0.052357, 6.870609, 1.193165, 6.151801, 18.343416, 1.750347, 46.398394, 0.634168, 0.401005, 0.146773], } class XrDebye: def __init__(self, wavelength, alpha=1.01, damping=0.04, warn=True, method='Iwasa'): """ Obtain powder x-ray spectra. wavelength in Angstrom damping in Angstrom**2 """ self.wavelength = wavelength self.damping = damping self.alpha = alpha self.warn = warn self.method = method def set_damping(self, damping): self.damping = damping def get(self, atoms, s): """Get the powder x-ray (XRD) pattern using the Debye-Formula. After: T. Iwasa and K. Nobusada, J. Phys. Chem. C 111 (2007) 45 s is assumed to be in 1/Angstrom """ sinth = self.wavelength * s / 2. costh = sqrt(1. - sinth**2) cos2th = cos(2. * acos(costh)) pre = exp(- self.damping * s**2 / 2) if self.method == 'Iwasa': pre *= costh / (1. + self.alpha * cos2th**2) f = {} def atomic(symbol): if not f.has_key(symbol): if self.method == 'Iwasa': f[symbol] = self.get_waasmaier(symbol, s) else: f[symbol] = atomic_numbers[symbol] return f[symbol] def sinc(x): if x < 1.e-6: x2 = x * x return 1 - x2 / 6. + x2 * x2 / 120. else: return sin(x) / x I = 0. for a in atoms: fa = atomic(a.symbol) # print a.symbol, fa for b in atoms: fb = atomic(b.symbol) if a == b: twopis = 0. else: vrij = a.position - b.position rij = np.sqrt(np.dot(vrij, vrij)) twopisr = 2 * pi * s * rij I += fa * fb * sinc(twopisr) return pre * I def get_waasmaier(self, symbol, s): """Scattering factor for free atoms.""" if symbol == 'H': # XXXX implement analytical H return 0 elif waasmaier.has_key(symbol): abc = waasmaier[symbol] f = abc[10] s2 = s*s for i in range(5): f += abc[2 * i] * exp(-abc[2 * i + 1] * s2) return f if self.warn: print ' Element', symbol, 'not available' return 0 python-ase-3.6.0.2515/ase/lattice/0000755000175400017540000000000011757245036015407 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/lattice/general_surface.py0000644000175400017540000000647311632115555021112 0ustar askhlaskhlimport numpy as np from numpy.linalg import norm, solve from ase.utils import gcd from ase.lattice.bulk import bulk def surface(lattice, indices, layers, vacuum=0.0, tol=1e-10): """Create surface from a given lattice and Miller indices. lattice: Atoms object or str Bulk lattice structure of alloy or pure metal. One can also give the chemical symbol as a string, in which case the correct bulk lattice will be generated automatically. indices: sequence of three int Surface normal in Miller indices (h,k,l). layers: int Number of equivalent layers of the slab. vacuum: float Amount of vacuum added on both sides of the slab. """ indices = np.asarray(indices) if indices.shape != (3,) or not indices.any() or indices.dtype != int: raise ValueError('%s is an invalid surface type' % indices) if isinstance(lattice, str): lattice = bulk(lattice, cubic=True) h, k, l = indices h0, k0, l0 = (indices == 0) if h0 and k0 or h0 and l0 or k0 and l0: # if two indices are zero if not h0: c1, c2, c3 = [(0, 1, 0), (0, 0, 1), (1, 0, 0)] if not k0: c1, c2, c3 = [(1, 0, 0), (0, 0, 1), (0, 1, 0)] if not l0: c1, c2, c3 = [(1, 0, 0), (0, 1, 0), (0, 0, 1)] else: p, q = ext_gcd(k, l) a1, a2, a3 = lattice.cell # constants describing the dot product of basis c1 and c2: # dot(c1,c2) = k1+i*k2, i in Z k1 = np.dot(p * (k * a1 - h * a2) + q * (l * a1 - h * a3), l * a2 - k * a3) k2 = np.dot(l * (k * a1 - h * a2) - k * (l * a1 - h * a3), l * a2 - k * a3) if abs(k2) > tol: i = -int(round(k1 / k2)) # i corresponding to the optimal basis p, q = p + i * l, q - i * k a, b = ext_gcd(p * k + q * l, h) c1 = (p * k + q * l, -p * h, -q * h) c2 = np.array((0, l, -k)) // abs(gcd(l, k)) c3 = (b, a * p, a * q) surf = build(lattice, np.array([c1, c2, c3]), layers, tol) surf.center(vacuum=vacuum, axis=2) return surf def build(lattice, basis, layers, tol): surf = lattice.copy() scaled = solve(basis.T, surf.get_scaled_positions().T).T scaled -= np.floor(scaled + tol) surf.set_scaled_positions(scaled) surf.set_cell(np.dot(basis, surf.cell), scale_atoms=True) surf *= (1, 1, layers) a1, a2, a3 = surf.cell surf.set_cell([a1, a2, np.cross(a1, a2) * np.dot(a3, np.cross(a1, a2)) / norm(np.cross(a1, a2))**2]) # Change unit cell to have the x-axis parallel with a surface vector # and z perpendicular to the surface: a1, a2, a3 = surf.cell surf.set_cell([(norm(a1), 0, 0), (np.dot(a1, a2) / norm(a1), np.sqrt(norm(a2)**2 - (np.dot(a1, a2) / norm(a1))**2), 0), (0, 0, -norm(a3))], scale_atoms=True) surf.pbc = (True, True, False) # Move atoms into the unit cell: scaled = surf.get_scaled_positions() scaled[:, :2] %= 1 surf.set_scaled_positions(scaled) return surf def ext_gcd(a, b): if b == 0: return 1, 0 elif a % b == 0: return 0, 1 else: x, y = ext_gcd(b, a % b) return y, x - y * (a / b) python-ase-3.6.0.2515/ase/lattice/surface.py0000644000175400017540000003047411652200253017403 0ustar askhlaskhl"""Helper functions for creating the most common surfaces and related tasks. The helper functions can create the most common low-index surfaces, add vacuum layers and add adsorbates. """ from math import sqrt import numpy as np from ase.atom import Atom from ase.atoms import Atoms from ase.data import reference_states, atomic_numbers from ase.lattice.general_surface import surface def fcc100(symbol, size, a=None, vacuum=None): """FCC(100) surface. Supported special adsorption sites: 'ontop', 'bridge', 'hollow'.""" return _surface(symbol, 'fcc', '100', size, a, None, vacuum) def fcc110(symbol, size, a=None, vacuum=None): """FCC(110) surface. Supported special adsorption sites: 'ontop', 'longbridge', 'shortbridge','hollow'.""" return _surface(symbol, 'fcc', '110', size, a, None, vacuum) def bcc100(symbol, size, a=None, vacuum=None): """BCC(100) surface. Supported special adsorption sites: 'ontop', 'bridge', 'hollow'.""" return _surface(symbol, 'bcc', '100', size, a, None, vacuum) def bcc110(symbol, size, a=None, vacuum=None, orthogonal=False): """BCC(110) surface. Supported special adsorption sites: 'ontop', 'longbridge', 'shortbridge', 'hollow'. Use *orthogonal=True* to get an orthogonal unit cell - works only for size=(i,j,k) with j even.""" return _surface(symbol, 'bcc', '110', size, a, None, vacuum, orthogonal) def bcc111(symbol, size, a=None, vacuum=None, orthogonal=False): """BCC(111) surface. Supported special adsorption sites: 'ontop'. Use *orthogonal=True* to get an orthogonal unit cell - works only for size=(i,j,k) with j even.""" return _surface(symbol, 'bcc', '111', size, a, None, vacuum, orthogonal) def fcc111(symbol, size, a=None, vacuum=None, orthogonal=False): """FCC(111) surface. Supported special adsorption sites: 'ontop', 'bridge', 'fcc' and 'hcp'. Use *orthogonal=True* to get an orthogonal unit cell - works only for size=(i,j,k) with j even.""" return _surface(symbol, 'fcc', '111', size, a, None, vacuum, orthogonal) def hcp0001(symbol, size, a=None, c=None, vacuum=None, orthogonal=False): """HCP(0001) surface. Supported special adsorption sites: 'ontop', 'bridge', 'fcc' and 'hcp'. Use *orthogonal=True* to get an orthogonal unit cell - works only for size=(i,j,k) with j even.""" return _surface(symbol, 'hcp', '0001', size, a, c, vacuum, orthogonal) def hcp10m10(symbol, size, a=None, c=None, vacuum=None): """HCP(10m10) surface. Supported special adsorption sites: 'ontop'. Works only for size=(i,j,k) with j even.""" return _surface(symbol, 'hcp', '10m10', size, a, c, vacuum) def diamond100(symbol, size, a=None, vacuum=None): """DIAMOND(100) surface. Supported special adsorption sites: 'ontop'.""" return _surface(symbol, 'diamond', '100', size, a, None, vacuum) def diamond111(symbol, size, a=None, vacuum=None, orthogonal=False): """DIAMOND(111) surface. Supported special adsorption sites: 'ontop'.""" if orthogonal: raise NotImplementedError("Can't do orthogonal cell yet!") return _surface(symbol, 'diamond', '111', size, a, None, vacuum, orthogonal) def add_adsorbate(slab, adsorbate, height, position=(0, 0), offset=None, mol_index=0): """Add an adsorbate to a surface. This function adds an adsorbate to a slab. If the slab is produced by one of the utility functions in ase.lattice.surface, it is possible to specify the position of the adsorbate by a keyword (the supported keywords depend on which function was used to create the slab). If the adsorbate is a molecule, the atom indexed by the mol_index optional argument is positioned on top of the adsorption position on the surface, and it is the responsibility of the user to orient the adsorbate in a sensible way. This function can be called multiple times to add more than one adsorbate. Parameters: slab: The surface onto which the adsorbate should be added. adsorbate: The adsorbate. Must be one of the following three types: A string containing the chemical symbol for a single atom. An atom object. An atoms object (for a molecular adsorbate). height: Height above the surface. position: The x-y position of the adsorbate, either as a tuple of two numbers or as a keyword (if the surface is produced by one of the functions in ase.lattice.surfaces). offset (default: None): Offsets the adsorbate by a number of unit cells. Mostly useful when adding more than one adsorbate. mol_index (default: 0): If the adsorbate is a molecule, index of the atom to be positioned above the location specified by the position argument. Note *position* is given in absolute xy coordinates (or as a keyword), whereas offset is specified in unit cells. This can be used to give the positions in units of the unit cell by using *offset* instead. """ info = slab.adsorbate_info if 'cell' not in info: info['cell'] = slab.get_cell()[:2, :2] pos = np.array([0.0, 0.0]) # (x, y) part spos = np.array([0.0, 0.0]) # part relative to unit cell if offset is not None: spos += np.asarray(offset, float) if isinstance(position, str): # A site-name: if 'sites' not in info: raise TypeError('If the atoms are not made by an ' + 'ase.lattice.surface function, ' + 'position cannot be a name.') if position not in info['sites']: raise TypeError('Adsorption site %s not supported.' % position) spos += info['sites'][position] else: pos += position pos += np.dot(spos, info['cell']) # Convert the adsorbate to an Atoms object if isinstance(adsorbate, Atoms): ads = adsorbate elif isinstance(adsorbate, Atom): ads = Atoms([adsorbate]) else: # Hope it is a useful string or something like that ads = Atoms(adsorbate) # Get the z-coordinate: try: a = info['top layer atom index'] except KeyError: a = slab.positions[:, 2].argmax() info['top layer atom index'] = a z = slab.positions[a, 2] + height # Move adsorbate into position ads.translate([pos[0], pos[1], z] - ads.positions[mol_index]) # Attach the adsorbate slab.extend(ads) def _surface(symbol, structure, face, size, a, c, vacuum, orthogonal=True): """Function to build often used surfaces. Don't call this function directly - use fcc100, fcc110, bcc111, ...""" Z = atomic_numbers[symbol] if a is None: sym = reference_states[Z]['symmetry'] if sym != structure: raise ValueError("Can't guess lattice constant for %s-%s!" % (structure, symbol)) a = reference_states[Z]['a'] if structure == 'hcp' and c is None: if reference_states[Z]['symmetry'] == 'hcp': c = reference_states[Z]['c/a'] * a else: c = sqrt(8 / 3.0) * a positions = np.empty((size[2], size[1], size[0], 3)) positions[..., 0] = np.arange(size[0]).reshape((1, 1, -1)) positions[..., 1] = np.arange(size[1]).reshape((1, -1, 1)) positions[..., 2] = np.arange(size[2]).reshape((-1, 1, 1)) numbers = np.ones(size[0] * size[1] * size[2], int) * Z tags = np.empty((size[2], size[1], size[0]), int) tags[:] = np.arange(size[2], 0, -1).reshape((-1, 1, 1)) slab = Atoms(numbers, tags=tags.ravel(), pbc=(True, True, False), cell=size) surface_cell = None sites = {'ontop': (0, 0)} surf = structure + face if surf == 'fcc100': cell = (sqrt(0.5), sqrt(0.5), 0.5) positions[-2::-2, ..., :2] += 0.5 sites.update({'hollow': (0.5, 0.5), 'bridge': (0.5, 0)}) elif surf == 'diamond100': cell = (sqrt(0.5), sqrt(0.5), 0.5 / 2) positions[-4::-4, ..., :2] += (0.5, 0.5) positions[-3::-4, ..., :2] += (0.0, 0.5) positions[-2::-4, ..., :2] += (0.0, 0.0) positions[-1::-4, ..., :2] += (0.5, 0.0) elif surf == 'fcc110': cell = (1.0, sqrt(0.5), sqrt(0.125)) positions[-2::-2, ..., :2] += 0.5 sites.update({'hollow': (0.5, 0.5), 'longbridge': (0.5, 0), 'shortbridge': (0, 0.5)}) elif surf == 'bcc100': cell = (1.0, 1.0, 0.5) positions[-2::-2, ..., :2] += 0.5 sites.update({'hollow': (0.5, 0.5), 'bridge': (0.5, 0)}) else: if orthogonal and size[1] % 2 == 1: raise ValueError(("Can't make orthorhombic cell with size=%r. " % (tuple(size),)) + 'Second number in size must be even.') if surf == 'fcc111': cell = (sqrt(0.5), sqrt(0.375), 1 / sqrt(3)) if orthogonal: positions[-1::-3, 1::2, :, 0] += 0.5 positions[-2::-3, 1::2, :, 0] += 0.5 positions[-3::-3, 1::2, :, 0] -= 0.5 positions[-2::-3, ..., :2] += (0.0, 2.0 / 3) positions[-3::-3, ..., :2] += (0.5, 1.0 / 3) else: positions[-2::-3, ..., :2] += (-1.0 / 3, 2.0 / 3) positions[-3::-3, ..., :2] += (1.0 / 3, 1.0 / 3) sites.update({'bridge': (0.5, 0), 'fcc': (1.0 / 3, 1.0 / 3), 'hcp': (2.0 / 3, 2.0 / 3)}) elif surf == 'diamond111': cell = (sqrt(0.5), sqrt(0.375), 1 / sqrt(3) / 2) assert not orthogonal positions[-1::-6, ..., :3] += (0.0, 0.0, 0.5) positions[-2::-6, ..., :2] += (0.0, 0.0) positions[-3::-6, ..., :3] += (-1.0 / 3, 2.0 / 3, 0.5) positions[-4::-6, ..., :2] += (-1.0 / 3, 2.0 / 3) positions[-5::-6, ..., :3] += (1.0 / 3, 1.0 / 3, 0.5) positions[-6::-6, ..., :2] += (1.0 / 3, 1.0 / 3) elif surf == 'hcp0001': cell = (1.0, sqrt(0.75), 0.5 * c / a) if orthogonal: positions[:, 1::2, :, 0] += 0.5 positions[-2::-2, ..., :2] += (0.0, 2.0 / 3) else: positions[-2::-2, ..., :2] += (-1.0 / 3, 2.0 / 3) sites.update({'bridge': (0.5, 0), 'fcc': (1.0 / 3, 1.0 / 3), 'hcp': (2.0 / 3, 2.0 / 3)}) elif surf == 'hcp10m10': cell = (1.0, 0.5 * c / a, sqrt(0.75)) assert orthogonal positions[-2::-2, ..., 0] += 0.5 positions[:, ::2, :, 2] += 2.0 / 3 elif surf == 'bcc110': cell = (1.0, sqrt(0.5), sqrt(0.5)) if orthogonal: positions[:, 1::2, :, 0] += 0.5 positions[-2::-2, ..., :2] += (0.0, 1.0) else: positions[-2::-2, ..., :2] += (-0.5, 1.0) sites.update({'shortbridge': (0, 0.5), 'longbridge': (0.5, 0), 'hollow': (0.375, 0.25)}) elif surf == 'bcc111': cell = (sqrt(2), sqrt(1.5), sqrt(3) / 6) if orthogonal: positions[-1::-3, 1::2, :, 0] += 0.5 positions[-2::-3, 1::2, :, 0] += 0.5 positions[-3::-3, 1::2, :, 0] -= 0.5 positions[-2::-3, ..., :2] += (0.0, 2.0 / 3) positions[-3::-3, ..., :2] += (0.5, 1.0 / 3) else: positions[-2::-3, ..., :2] += (-1.0 / 3, 2.0 / 3) positions[-3::-3, ..., :2] += (1.0 / 3, 1.0 / 3) sites.update({'hollow': (1.0 / 3, 1.0 / 3)}) else: 2 / 0 surface_cell = a * np.array([(cell[0], 0), (cell[0] / 2, cell[1])]) if not orthogonal: cell = np.array([(cell[0], 0, 0), (cell[0] / 2, cell[1], 0), (0, 0, cell[2])]) if surface_cell is None: surface_cell = a * np.diag(cell[:2]) if isinstance(cell, tuple): cell = np.diag(cell) slab.set_positions(positions.reshape((-1, 3))) slab.set_cell([a * v * n for v, n in zip(cell, size)], scale_atoms=True) if vacuum is not None: slab.center(vacuum=vacuum, axis=2) slab.adsorbate_info['cell'] = surface_cell slab.adsorbate_info['sites'] = sites return slab python-ase-3.6.0.2515/ase/lattice/monoclinic.py0000644000175400017540000000321611005621507020100 0ustar askhlaskhl"""Function-like object creating monoclinic lattices. The following lattice creator is defined: SimpleMonoclinic BaseCenteredMonoclinic """ from ase.lattice.triclinic import TriclinicFactory import numpy as np from ase.data import reference_states as _refstate class SimpleMonoclinicFactory(TriclinicFactory): "A factory for creating simple monoclinic lattices." # The name of the crystal structure in ChemicalElements xtal_name = "monoclinic" def make_crystal_basis(self): "Make the basis matrix for the crystal unit cell and the system unit cell." # First convert the basis specification to a triclinic one if type(self.latticeconstant) == type({}): self.latticeconstant['beta'] = 90 self.latticeconstant['gamma'] = 90 else: if len(self.latticeconstant) == 4: self.latticeconstant = self.latticeconstant + (90,90) else: raise ValueError, "Improper lattice constants for monoclinic crystal." TriclinicFactory.make_crystal_basis(self) SimpleMonoclinic = SimpleMonoclinicFactory() class BaseCenteredMonoclinicFactory(SimpleMonoclinicFactory): # The natural basis vectors of the crystal structure int_basis = np.array([[1, -1, 0], [1, 1, 0], [0, 0, 2]]) basis_factor = 0.5 # Converts the natural basis back to the crystallographic basis inverse_basis = np.array([[1, 1, 0], [-1, 1, 0], [0, 0, 1]]) inverse_basis_factor = 1.0 BaseCenteredMonoclinic = BaseCenteredMonoclinicFactory() python-ase-3.6.0.2515/ase/lattice/__init__.py0000644000175400017540000000004211632077176017514 0ustar askhlaskhlfrom ase.lattice.bulk import bulk python-ase-3.6.0.2515/ase/lattice/bulk.py0000644000175400017540000001372211652200253016705 0ustar askhlaskhlfrom math import sqrt from ase.atoms import Atoms, string2symbols from ase.data import reference_states, atomic_numbers, chemical_symbols def bulk(name, crystalstructure=None, a=None, c=None, covera=None, orthorhombic=False, cubic=False): """Creating bulk systems. Crystal structure and lattice constant(s) will be guessed if not provided. name: str Chemical symbol or symbols as in 'MgO' or 'NaCl'. crystalstructure: str Must be one of sc, fcc, bcc, hcp, diamond, zincblende or rocksalt. a: float Lattice constant. c: float Lattice constant. covera: float c/a raitio used for hcp. Use sqrt(8/3.0) for ideal ratio. orthorhombic: bool Construct orthorhombic unit cell instead of primitive cell which is the default. cubic: bool Construct cubic unit cell if possible. """ if a is not None: a = float(a) if c is not None: c = float(c) if covera is not None and c is not None: raise ValueError("Don't specify both c and c/a!") if name in chemical_symbols: Z = atomic_numbers[name] ref = reference_states[Z] if ref is not None: xref = ref['symmetry'] else: xref = None if crystalstructure is None: crystalstructure = xref if a is None: assert xref == crystalstructure a = ref['a'] if crystalstructure == 'hcp': cubic = False if c is not None: covera = c / a elif covera is None: if xref == 'hcp': covera = ref['c/a'] else: covera = sqrt(8.0 / 3.0) if orthorhombic and crystalstructure != 'sc': return _orthorhombic_bulk(name, crystalstructure, a, covera) if cubic and crystalstructure == 'bcc': return _orthorhombic_bulk(name, crystalstructure, a, covera) if cubic and crystalstructure != 'sc': return _cubic_bulk(name, crystalstructure, a) if crystalstructure == 'sc': atoms = Atoms(name, cell=(a, a, a), pbc=True) elif crystalstructure == 'fcc': b = a / 2 atoms = Atoms(name, cell=[(0, b, b), (b, 0, b), (b, b, 0)], pbc=True) elif crystalstructure == 'bcc': b = a / 2 atoms = Atoms(name, cell=[(-b, b, b), (b, -b, b), (b, b, -b)], pbc=True) elif crystalstructure == 'hcp': atoms = Atoms(2 * name, scaled_positions=[(0, 0, 0), (1.0 / 3.0, 2.0 / 3.0, 0.5)], cell=[(a, 0, 0), (-a / 2, a * sqrt(3) / 2, 0), (0, 0, covera * a)], pbc=True) elif crystalstructure == 'diamond': atoms = bulk(2 * name, 'zincblende', a) elif crystalstructure == 'zincblende': s1, s2 = string2symbols(name) atoms = bulk(s1, 'fcc', a) + bulk(s2, 'fcc', a) atoms.positions[1] += a / 4 elif crystalstructure == 'rocksalt': s1, s2 = string2symbols(name) atoms = bulk(s1, 'fcc', a) + bulk(s2, 'fcc', a) atoms.positions[1, 0] += a / 2 else: raise ValueError('Unknown crystal structure: ' + crystalstructure) return atoms def _orthorhombic_bulk(name, crystalstructure, a, covera=None): if crystalstructure == 'fcc': b = a / sqrt(2) atoms = Atoms(2 * name, cell=(b, b, a), pbc=True, scaled_positions=[(0, 0, 0), (0.5, 0.5, 0.5)]) elif crystalstructure == 'bcc': atoms = Atoms(2 * name, cell=(a, a, a), pbc=True, scaled_positions=[(0, 0, 0), (0.5, 0.5, 0.5)]) elif crystalstructure == 'hcp': atoms = Atoms(4 * name, cell=(a, a * sqrt(3), covera * a), scaled_positions=[(0, 0, 0), (0.5, 0.5, 0), (0.5, 1.0 / 6.0, 0.5), (0, 2.0 / 3.0, 0.5)], pbc=True) elif crystalstructure == 'diamond': atoms = _orthorhombic_bulk(2 * name, 'zincblende', a) elif crystalstructure == 'zincblende': s1, s2 = string2symbols(name) b = a / sqrt(2) atoms = Atoms(2 * name, cell=(b, b, a), pbc=True, scaled_positions=[(0, 0, 0), (0.5, 0, 0.25), (0.5, 0.5, 0.5), (0, 0.5, 0.75)]) elif crystalstructure == 'rocksalt': s1, s2 = string2symbols(name) b = a / sqrt(2) atoms = Atoms(2 * name, cell=(b, b, a), pbc=True, scaled_positions=[(0, 0, 0), (0.5, 0.5, 0), (0.5, 0.5, 0.5), (0, 0, 0.5)]) else: raise RuntimeError return atoms def _cubic_bulk(name, crystalstructure, a): if crystalstructure == 'fcc': atoms = Atoms(4 * name, cell=(a, a, a), pbc=True, scaled_positions=[(0, 0, 0), (0, 0.5, 0.5), (0.5, 0, 0.5), (0.5, 0.5, 0)]) elif crystalstructure == 'diamond': atoms = _cubic_bulk(2 * name, 'zincblende', a) elif crystalstructure == 'zincblende': atoms = Atoms(4 * name, cell=(a, a, a), pbc=True, scaled_positions=[(0, 0, 0), (0.25, 0.25, 0.25), (0, 0.5, 0.5), (0.25, 0.75, 0.75), (0.5, 0, 0.5), (0.75, 0.25, 0.75), (0.5, 0.5, 0), (0.75, 0.75, 0.25)]) elif crystalstructure == 'rocksalt': atoms = Atoms(4 * name, cell=(a, a, a), pbc=True, scaled_positions=[(0, 0, 0), (0.5, 0, 0), (0, 0.5, 0.5), (0.5, 0.5, 0.5), (0.5, 0, 0.5), (0, 0, 0.5), (0.5, 0.5, 0), (0, 0.5, 0)]) else: raise RuntimeError return atoms python-ase-3.6.0.2515/ase/lattice/tetragonal.py0000644000175400017540000000265611005152646020120 0ustar askhlaskhl"""Function-like objects creating tetragonal lattices. The following lattice creators are defined: SimleTetragonal CenteredTetragonal """ from ase.lattice.orthorhombic import SimpleOrthorhombicFactory,\ BodyCenteredOrthorhombicFactory import numpy as np from ase.data import reference_states as _refstate class _Tetragonalize: "A mixin class for implementing tetragonal crystals as orthorhombic ones." # The name of the crystal structure in ChemicalElements xtal_name = "tetragonal" def make_crystal_basis(self): lattice = self.latticeconstant if type(lattice) == type({}): lattice['b/a'] = 1.0 else: if len(lattice) == 2: lattice = (lattice[0], lattice[0], lattice[1]) else: raise ValueError, "Improper lattice constants for tetragonal crystal." self.latticeconstant = lattice self.orthobase.make_crystal_basis(self) class SimpleTetragonalFactory(_Tetragonalize, SimpleOrthorhombicFactory): "A factory for creating simple tetragonal lattices." orthobase = SimpleOrthorhombicFactory SimpleTetragonal = SimpleTetragonalFactory() class CenteredTetragonalFactory(_Tetragonalize, BodyCenteredOrthorhombicFactory): "A factory for creating centered tetragonal lattices." orthobase = BodyCenteredOrthorhombicFactory CenteredTetragonal = CenteredTetragonalFactory() python-ase-3.6.0.2515/ase/lattice/orthorhombic.py0000644000175400017540000001245711652200253020453 0ustar askhlaskhl"""Function-like objects creating orthorhombic lattices. The following lattice creators are defined: SimleOrthorhombic BaseCenteredOrthorhombic BodyCenteredOrthorhombic FaceCenteredOrthorhombic """ from ase.lattice.bravais import Bravais import numpy as np from ase.data import reference_states as _refstate class SimpleOrthorhombicFactory(Bravais): "A factory for creating simple orthorhombic lattices." # The name of the crystal structure in ChemicalElements xtal_name = "orthorhombic" # The natural basis vectors of the crystal structure int_basis = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]]) basis_factor = 1.0 # Converts the natural basis back to the crystallographic basis inverse_basis = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]]) inverse_basis_factor = 1.0 def get_lattice_constant(self): "Get the lattice constant of an element with orhtorhombic crystal structure." if _refstate[self.atomicnumber]['symmetry'] != self.xtal_name: raise ValueError, (("Cannot guess the %s lattice constant of" + " an element with crystal structure %s.") % (self.xtal_name, _refstate[self.atomicnumber]['symmetry'])) return _refstate[self.atomicnumber].copy() def make_crystal_basis(self): "Make the basis matrix for the crystal unit cell and the system unit cell." lattice = self.latticeconstant if type(lattice) == type({}): a = lattice['a'] try: b = lattice['b'] except KeyError: b = a * lattice['b/a'] try: c = lattice['c'] except KeyError: c = a * lattice['c/a'] else: if len(lattice) == 3: (a,b,c) = lattice else: raise ValueError, "Improper lattice constants for orthorhombic crystal." lattice = np.array([[a,0,0],[0,b,0],[0,0,c]]) self.latticeconstant = lattice self.miller_basis = lattice self.crystal_basis = (self.basis_factor * np.dot(self.int_basis, lattice)) self.basis = np.dot(self.directions, self.crystal_basis) self.check_basis_volume() def check_basis_volume(self): "Check the volume of the unit cell." vol1 = abs(np.linalg.det(self.basis)) vol2 = self.calc_num_atoms() * np.linalg.det(self.latticeconstant) if self.bravais_basis is not None: vol2 /= len(self.bravais_basis) if abs(vol1-vol2) > 1e-5: print "WARNING: Got volume %f, expected %f" % (vol1, vol2) SimpleOrthorhombic = SimpleOrthorhombicFactory() class BaseCenteredOrthorhombicFactory(SimpleOrthorhombicFactory): "A factory for creating base-centered orthorhombic lattices." # The natural basis vectors of the crystal structure int_basis = np.array([[1, -1, 0], [1, 1, 0], [0, 0, 2]]) basis_factor = 0.5 # Converts the natural basis back to the crystallographic basis inverse_basis = np.array([[1, 1, 0], [-1, 1, 0], [0, 0, 1]]) inverse_basis_factor = 1.0 def check_basis_volume(self): "Check the volume of the unit cell." vol1 = abs(np.linalg.det(self.basis)) vol2 = self.calc_num_atoms() * np.linalg.det(self.latticeconstant) / 2.0 if abs(vol1-vol2) > 1e-5: print "WARNING: Got volume %f, expected %f" % (vol1, vol2) BaseCenteredOrthorhombic = BaseCenteredOrthorhombicFactory() class BodyCenteredOrthorhombicFactory(SimpleOrthorhombicFactory): "A factory for creating body-centered orthorhombic lattices." int_basis = np.array([[-1, 1, 1], [1, -1, 1], [1, 1, -1]]) basis_factor = 0.5 inverse_basis = np.array([[0, 1, 1], [1, 0, 1], [1, 1, 0]]) inverse_basis_factor = 1.0 def check_basis_volume(self): "Check the volume of the unit cell." vol1 = abs(np.linalg.det(self.basis)) vol2 = self.calc_num_atoms() * np.linalg.det(self.latticeconstant) / 2.0 if abs(vol1-vol2) > 1e-5: print "WARNING: Got volume %f, expected %f" % (vol1, vol2) BodyCenteredOrthorhombic = BodyCenteredOrthorhombicFactory() class FaceCenteredOrthorhombicFactory(SimpleOrthorhombicFactory): "A factory for creating face-centered orthorhombic lattices." int_basis = np.array([[0, 1, 1], [1, 0, 1], [1, 1, 0]]) basis_factor = 0.5 inverse_basis = np.array([[-1, 1, 1], [1, -1, 1], [1, 1, -1]]) inverse_basis_factor = 1.0 def check_basis_volume(self): "Check the volume of the unit cell." vol1 = abs(np.linalg.det(self.basis)) vol2 = self.calc_num_atoms() * np.linalg.det(self.latticeconstant) / 4.0 if abs(vol1-vol2) > 1e-5: print "WARNING: Got volume %f, expected %f" % (vol1, vol2) FaceCenteredOrthorhombic = FaceCenteredOrthorhombicFactory() python-ase-3.6.0.2515/ase/lattice/compounds.py0000644000175400017540000001574211465024127017771 0ustar askhlaskhl"""Function-like objects creating lattices with more than one element. These lattice creators are mainly intended as examples for how to build you own. The following crystal structures are defined: B1 = NaCl = Rocksalt B2 = CsCl B3 = ZnS = Zincblende L1_2 = AuCu3 L1_0 = AuCu TRI_Fe2O3 HEX_Fe2O3 """ from ase.lattice.cubic import FaceCenteredCubicFactory, \ BodyCenteredCubicFactory, DiamondFactory, SimpleCubicFactory from ase.lattice.tetragonal import SimpleTetragonalFactory from ase.lattice.triclinic import TriclinicFactory from ase.lattice.hexagonal import HexagonalFactory import numpy as np from ase.data import reference_states as _refstate # To prevent a layer of element one on one side, and a layer of # element two on the other side, NaCl is based on SimpleCubic instead # of on FaceCenteredCubic class NaClFactory(SimpleCubicFactory): "A factory for creating NaCl (B1, Rocksalt) lattices." bravais_basis = [[0, 0, 0], [0, 0, 0.5], [0, 0.5, 0], [0, 0.5, 0.5], [0.5, 0, 0], [0.5, 0, 0.5], [0.5, 0.5, 0], [0.5, 0.5, 0.5]] element_basis = (0, 1, 1, 0, 1, 0, 0, 1) B1 = NaCl = Rocksalt = NaClFactory() class CsClFactory(SimpleCubicFactory): "A factory for creating CsCl (B2) lattices." bravais_basis = [[0, 0, 0], [0.5, 0.5, 0.5]] element_basis = (0, 1) B2 = CsCl = CsClFactory() #The zincblende structure is easily derived from Diamond, which #already has the right basis. class ZnSFactory(DiamondFactory): "A factory for creating ZnS (B3, Zincblende) lattices." element_basis = (0, 1) B3 = ZnS = Zincblende = ZnSFactory() # The L1_0 structure is "based on FCC", but is a tetragonal distortion # of fcc. It must therefore be derived from the base-centered # tetragonal structure. That structure, however, does not exist, # since it is equivalent to a simple tetragonal structure rotated 45 # degrees along the z-axis. Basing L1_2 on that would however give # unexpected miller indices. L1_2 will therefore be based on a simple # tetragonal structure, but with a basis corresponding to a # base-centered tetragonal. class AuCuFactory(SimpleTetragonalFactory): "A factory for creating AuCu (L1_0) lattices (tetragonal symmetry)." bravais_basis = [[0, 0, 0], [0, 0.5, 0.5], [0.5, 0, 0.5], [0.5, 0.5, 0]] element_basis = (0, 1, 1, 0) AuCu = L1_0 = AuCuFactory() # The L1_2 structure is "based on FCC", but is really simple cubic # with a basis. class AuCu3Factory(SimpleCubicFactory): "A factory for creating AuCu3 (L1_2) lattices." bravais_basis = [[0, 0, 0], [0, 0.5, 0.5], [0.5, 0, 0.5], [0.5, 0.5, 0]] element_basis = (0, 1, 1, 1) AuCu3 = L1_2 = AuCu3Factory() class TriclinicFe2O3Factory(TriclinicFactory): """A factory for creating hematite (Fe2O3) lattices. Rhombohedral unit cell. Pauling L, Hendricks S B Journal of the American Chemical Society 47 (1925) 781-790 Example:: #!/usr/bin/env python from ase.lattice.hexagonal import * from ase.lattice.compounds import * import ase.io as io from ase import Atoms, Atom index1=3 index2=3 index3=3 mya = 5.42 myb = 5.42 myc = 5.42 myalpha = 55.28 mybeta = 55.28 mygamma = 55.28 gra = TRI_Fe2O3(symbol = ('Fe', 'O'), latticeconstant={'a':mya,'b':myb, 'c':myc, 'alpha':myalpha, 'beta':mybeta, 'gamma':mygamma}, size=(index1,index2,index3)) io.write('rhombohedralUC_Fe2O3.xyz', gra, format='xyz') """ bravais_basis = [[0.10534, 0.10534, 0.10534], [0.39466, 0.39466, 0.39466], [0.60534, 0.60534, 0.60534], [0.89466, 0.89466, 0.89466], [0.30569, 0.69431, 0.00000], [0.69431, 0.00000, 0.30569], [0.00000, 0.30569, 0.69431], [0.19431, 0.80569, 0.50000], [0.80569, 0.50000, 0.19431], [0.50000, 0.19431, 0.80569]] element_basis = (0, 0, 0, 0, 1, 1, 1, 1, 1, 1) TRI_Fe2O3 = TriclinicFe2O3Factory() class HexagonalFe2O3Factory(HexagonalFactory): """A factory for creating hematite (Fe2O3) lattices. With hexagonal unit cell. Blake R L, Hessevick R E, Zoltai T, Finger L W American Mineralogist 51 (1966) 123-129 5.038 5.038 13.772 90 90 120 R-3c Fe 0 0 .3553 .0080 .0080 .00029 .0040 0 0 O .3059 0 1/4 .0068 .0083 .00046 .0042 .00058 .0012 Example: #!/usr/bin/env python from ase.lattice.hexagonal import * from ase.lattice.compounds import * import ase.io as io from ase import Atoms, Atom index1=1 index2=1 index3=1 mya = 5.038 myb = 5.038 myc = 13.772 myalpha = 90 mybeta = 90 mygamma = 120 gra = HEX_Fe2O3(symbol = ('Fe', 'O'), latticeconstant={'a':mya,'b':myb, 'c':myc, 'alpha':myalpha, 'beta':mybeta, 'gamma':mygamma}, size=(index1,index2,index3)) io.write('hexaFe2O3.xyz', gra, format='xyz') """ bravais_basis = [[0.000000, 0.000000, 0.355300], [0.000000, 0.000000, 0.144700], [0.000000, 0.000000, 0.644700], [0.000000, 0.000000, 0.855300], [0.666667, 0.333333, 0.688633], [0.666667, 0.333333, 0.478033], [0.666667, 0.333333, 0.978033], [0.666667, 0.333333, 0.188633], [0.333333, 0.666667, 0.021967], [0.333333, 0.666667, 0.811367], [0.333333, 0.666667, 0.311367], [0.333333, 0.666667, 0.521967], #Fe to O here [0.305900, 0.000000, 0.250000], [0.000000, 0.305900, 0.250000], [0.694100, 0.694100, 0.250000], [0.694100, 0.000000, 0.750000], [0.000000, 0.694100, 0.750000], [0.305900, 0.305900, 0.750000], [0.972567, 0.333333, 0.583333], [0.666667, 0.639233, 0.583333], [0.360767, 0.027433, 0.583333], [0.360767, 0.333333, 0.083333], [0.666667, 0.027433, 0.083333], [0.972567, 0.639233, 0.083333], [0.639233, 0.666667, 0.916667], [0.333333, 0.972567, 0.916667], [0.027433, 0.360767, 0.916667], [0.027433, 0.666667, 0.416667], [0.333333, 0.360767, 0.416667], [0.639233, 0.972567, 0.416667]] element_basis = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1) HEX_Fe2O3 = HexagonalFe2O3Factory() python-ase-3.6.0.2515/ase/lattice/bravais.py0000644000175400017540000004433411632077176017420 0ustar askhlaskhl"""Bravais.py - class for generating Bravais lattices etc. This is a base class for numerous classes setting up pieces of crystal. """ import math import numpy as np from ase.atoms import Atoms from ase.utils import gcd import ase.data class Bravais: """Bravais lattice factory. This is a base class for the objects producing various lattices (SC, FCC, ...). """ # The following methods are NOT defined here, but must be defined # in classes inhering from Bravais: # get_lattice_constant # make_crystal_basis # The following class attributes are NOT defined here, but must be defined # in classes inhering from Bravais: # int_basis # inverse_basis other = {0:(1,2), 1:(2,0), 2:(0,1)} # For Bravais lattices with a basis, set the basis here. Leave as # None if no basis is present. bravais_basis = None # If more than one type of element appear in the crystal, give the # order here. For example, if two elements appear in a 3:1 ratio, # bravais_basis could contain four vectors, and element_basis # could be (0,0,1,0) - the third atom in the basis is different # from the other three. Leave as None if all atoms are of the # same type. element_basis = None # How small numbers should be considered zero in the unit cell? chop_tolerance = 1e-10 def __call__(self, symbol, directions=(None,None,None), miller=(None,None,None), size=(1,1,1), latticeconstant=None, pbc=True, align=True, debug=0): "Create a lattice." self.size = size self.pbc = pbc self.debug = debug self.process_element(symbol) self.find_directions(directions, miller) if self.debug: self.print_directions_and_miller() self.convert_to_natural_basis() if self.debug >= 2: self.print_directions_and_miller(" (natural basis)") if latticeconstant is None: if self.element_basis is None: self.latticeconstant = self.get_lattice_constant() else: raise ValueError,\ "A lattice constant must be specified for a compound" else: self.latticeconstant = latticeconstant if self.debug: print "Expected number of atoms in unit cell:", self.calc_num_atoms() if self.debug >= 2: print "Bravais lattice basis:", self.bravais_basis if self.bravais_basis is not None: print " ... in natural basis:", self.natural_bravais_basis self.make_crystal_basis() self.make_unit_cell() if align: self.align() return self.make_list_of_atoms() def align(self): "Align the first axis along x-axis and the second in the x-y plane." degree = 180/np.pi if self.debug >= 2: print "Basis before alignment:" print self.basis if self.basis[0][0]**2 + self.basis[0][2]**2 < 0.01 * self.basis[0][1]**2: # First basis vector along y axis - rotate 90 deg along z t = np.array([[0, -1, 0], [1, 0, 0], [0, 0, 1]], np.float) self.basis = np.dot(self.basis, t) transf = t if self.debug >= 2: print "Rotating -90 degrees around z axis for numerical stability." print self.basis else: transf = np.identity(3, np.float) assert abs(np.linalg.det(transf) - 1) < 1e-6 # Rotate first basis vector into xy plane theta = math.atan2(self.basis[0,2], self.basis[0,0]) t = np.array([[np.cos(theta), 0, -np.sin(theta)], [ 0, 1, 0 ], [np.sin(theta), 0, np.cos(theta) ]]) self.basis = np.dot(self.basis, t) transf = np.dot(transf, t) if self.debug >= 2: print "Rotating %f degrees around y axis." % (-theta*degree,) print self.basis assert abs(np.linalg.det(transf) - 1) < 1e-6 # Rotate first basis vector to point along x axis theta = math.atan2(self.basis[0,1], self.basis[0,0]) t = np.array([[np.cos(theta), -np.sin(theta), 0], [np.sin(theta), np.cos(theta), 0], [ 0, 0, 1]]) self.basis = np.dot(self.basis, t) transf = np.dot(transf, t) if self.debug >= 2: print "Rotating %f degrees around z axis." % (-theta*degree,) print self.basis assert abs(np.linalg.det(transf) - 1) < 1e-6 # Rotate second basis vector into xy plane theta = math.atan2(self.basis[1,2], self.basis[1,1]) t = np.array([[1, 0, 0], [0, np.cos(theta), -np.sin(theta)], [0, np.sin(theta), np.cos(theta)]]) self.basis = np.dot(self.basis, t) transf = np.dot(transf, t) if self.debug >= 2: print "Rotating %f degrees around x axis." % (-theta*degree,) print self.basis assert abs(np.linalg.det(transf) - 1) < 1e-6 # Now we better rotate the atoms as well self.atoms = np.dot(self.atoms, transf) # ... and rotate miller_basis self.miller_basis = np.dot(self.miller_basis, transf) def make_list_of_atoms(self): "Repeat the unit cell." nrep = self.size[0] * self.size[1] * self.size[2] if nrep <= 0: raise ValueError, "Cannot create a non-positive number of unit cells" # Now the unit cells must be merged. a2 = [] e2 = [] for i in xrange(self.size[0]): offset = self.basis[0] * i a2.append(self.atoms + offset[np.newaxis,:]) e2.append(self.elements) atoms = np.concatenate(a2) elements = np.concatenate(e2) a2 = [] e2 = [] for j in xrange(self.size[1]): offset = self.basis[1] * j a2.append(atoms + offset[np.newaxis,:]) e2.append(elements) atoms = np.concatenate(a2) elements = np.concatenate(e2) a2 = [] e2 = [] for k in xrange(self.size[2]): offset = self.basis[2] * k a2.append(atoms + offset[np.newaxis,:]) e2.append(elements) atoms = np.concatenate(a2) elements = np.concatenate(e2) del a2, e2 assert len(atoms) == nrep * len(self.atoms) basis = np.array([[self.size[0],0,0], [0,self.size[1],0], [0,0,self.size[2]]]) basis = np.dot(basis, self.basis) # Tiny elements should be replaced by zero. The cutoff is # determined by chop_tolerance which is a class attribute. basis = np.where(np.abs(basis) < self.chop_tolerance, 0.0, basis) # None should be replaced, and memory should be freed. lattice = Lattice(positions=atoms, cell=basis, numbers=elements, pbc=self.pbc) lattice.millerbasis = self.miller_basis # Add info for lattice.surface.AddAdsorbate lattice._addsorbate_info_size = np.array(self.size[:2]) return lattice def process_element(self, element): "Extract atomic number from element" # The types that can be elements: integers and strings if self.element_basis is None: if isinstance(element, type("string")): self.atomicnumber = ase.data.atomic_numbers[element] elif isinstance(element, int): self.atomicnumber = element else: raise TypeError("The symbol argument must be a string or an atomic number.") else: atomicnumber = [] try: if len(element) != max(self.element_basis) + 1: oops = True else: oops = False except TypeError: oops = True if oops: raise TypeError( ("The symbol argument must be a sequence of length %d" +" (one for each kind of lattice position") % (max(self.element_basis)+1,)) for e in element: if isinstance(e, type("string")): atomicnumber.append(ase.data.atomic_numbers[e]) elif isinstance(e, int): atomicnumber.append(e) else: raise TypeError("The symbols argument must be a sequence of strings or atomic numbers.") self.atomicnumber = [atomicnumber[i] for i in self.element_basis] assert len(self.atomicnumber) == len(self.bravais_basis) def convert_to_natural_basis(self): "Convert directions and miller indices to the natural basis." self.directions = np.dot(self.directions, self.inverse_basis) if self.bravais_basis is not None: self.natural_bravais_basis = np.dot(self.bravais_basis, self.inverse_basis) for i in (0,1,2): self.directions[i] = reduceindex(self.directions[i]) for i in (0,1,2): (j,k) = self.other[i] self.miller[i] = reduceindex(self.handedness * cross(self.directions[j], self.directions[k])) def calc_num_atoms(self): v = int(round(abs(np.linalg.det(self.directions)))) if self.bravais_basis is None: return v else: return v * len(self.bravais_basis) def make_unit_cell(self): "Make the unit cell." # Make three loops, and find the positions in the integral # lattice. Each time a position is found, the atom is placed # in the real unit cell by put_atom(). self.natoms = self.calc_num_atoms() self.nput = 0 self.atoms = np.zeros((self.natoms,3), np.float) self.elements = np.zeros(self.natoms, np.int) self.farpoint = farpoint = sum(self.directions) #printprogress = self.debug and (len(self.atoms) > 250) percent = 0 # Find the radius of the sphere containing the whole system sqrad = 0 for i in (0,1): for j in (0,1): for k in (0,1): vect = (i * self.directions[0] + j * self.directions[1] + k * self.directions[2]) if np.dot(vect,vect) > sqrad: sqrad = np.dot(vect,vect) del i,j,k # Loop along first crystal axis (i) for (istart, istep) in ((0,1), (-1,-1)): i = istart icont = True while icont: nj = 0 for (jstart, jstep) in ((0,1), (-1,-1)): j = jstart jcont = True while jcont: nk = 0 for (kstart, kstep) in ((0,1), (-1,-1)): k = kstart #print "Starting line i=%d, j=%d, k=%d, step=(%d,%d,%d)" % (i,j,k,istep,jstep,kstep) kcont = True while kcont: # Now (i,j,k) loops over Z^3, except that # the loops can be cut off when we get outside # the unit cell. point = np.array((i,j,k)) if self.inside(point): self.put_atom(point) nk += 1 nj += 1 # Is k too high? if np.dot(point,point) > sqrad: assert not self.inside(point) kcont = False k += kstep # Is j too high? if i*i+j*j > sqrad: jcont = False j += jstep # Is i too high? if i*i > sqrad: icont = False i += istep #if printprogress: # perce = int(100*self.nput / len(self.atoms)) # if perce > percent + 10: # print ("%d%%" % perce), # percent = perce assert(self.nput == self.natoms) def inside(self, point): "Is a point inside the unit cell?" return (np.dot(self.miller[0], point) >= 0 and np.dot(self.miller[0], point - self.farpoint) < 0 and np.dot(self.miller[1], point) >= 0 and np.dot(self.miller[1], point - self.farpoint) < 0 and np.dot(self.miller[2], point) >= 0 and np.dot(self.miller[2], point - self.farpoint) < 0) def put_atom(self, point): "Place an atom given its integer coordinates." if self.bravais_basis is None: # No basis - just place a single atom pos = np.dot(point, self.crystal_basis) if self.debug >= 2: print ("Placing an atom at (%d,%d,%d) ~ (%.3f, %.3f, %.3f)." % (tuple(point) + tuple(pos))) self.atoms[self.nput] = pos self.elements[self.nput] = self.atomicnumber self.nput += 1 else: for i, offset in enumerate(self.natural_bravais_basis): pos = np.dot(point + offset, self.crystal_basis) if self.debug >= 2: print ("Placing an atom at (%d+%f, %d+%f, %d+%f) ~ (%.3f, %.3f, %.3f)." % (point[0], offset[0], point[1], offset[1], point[2], offset[2], pos[0], pos[1], pos[2])) self.atoms[self.nput] = pos if self.element_basis is None: self.elements[self.nput] = self.atomicnumber else: self.elements[self.nput] = self.atomicnumber[i] self.nput += 1 def find_directions(self, directions, miller): "Find missing directions and miller indices from the specified ones." directions = list(directions) miller = list(miller) # If no directions etc are specified, use a sensible default. if directions == [None, None, None] and miller == [None, None, None]: directions = [[1,0,0], [0,1,0], [0,0,1]] # Now fill in missing directions and miller indices. This is an # iterative process. change = 1 while change: change = False missing = 0 for i in (0,1,2): (j,k) = self.other[i] if directions[i] is None: missing += 1 if miller[j] is not None and miller[k] is not None: directions[i] = reduceindex(cross(miller[j], miller[k])) change = True if self.debug >= 2: print "Calculating directions[%d] from miller indices" % i if miller[i] is None: missing += 1 if directions[j] is not None and directions[k] is not None: miller[i] = reduceindex(cross(directions[j], directions[k])) change = True if self.debug >= 2: print "Calculating miller[%d] from directions" % i if missing: raise ValueError, "Specification of directions and miller indices is incomplete." # Make sure that everything is Numeric arrays self.directions = np.array(directions) self.miller = np.array(miller) # Check for left-handed coordinate system if np.linalg.det(self.directions) < 0: print "WARNING: Creating a left-handed coordinate system!" self.miller = -self.miller self.handedness = -1 else: self.handedness = 1 # Now check for consistency for i in (0,1,2): (j,k) = self.other[i] m = reduceindex(self.handedness * cross(self.directions[j], self.directions[k])) if sum(np.not_equal(m, self.miller[i])): print "ERROR: Miller index %s is inconsisten with directions %d and %d" % (i,j,k) print "Miller indices:" print str(self.miller) print "Directions:" print str(self.directions) raise ValueError, "Inconsistent specification of miller indices and directions." def print_directions_and_miller(self, txt=""): "Print direction vectors and Miller indices." print "Direction vectors of unit cell%s:" % (txt,) for i in (0,1,2): print " ", self.directions[i] print "Miller indices of surfaces%s:" % (txt,) for i in (0,1,2): print " ", self.miller[i] class MillerInfo: """Mixin class to provide information about Miller indices.""" def miller_to_direction(self, miller): """Returns the direction corresponding to a given Miller index.""" return np.dot(miller, self.millerbasis) class Lattice(Atoms, MillerInfo): """List of atoms initially containing a regular lattice of atoms. A part from the usual list of atoms methods this list of atoms type also has a method, `miller_to_direction`, used to convert from Miller indices to directions in the coordinate system of the lattice. """ pass # Helper functions def cross(a, b): """The cross product of two vectors.""" return np.array((a[1]*b[2] - b[1]*a[2], a[2]*b[0] - b[2]*a[0], a[0]*b[1] - b[0]*a[1])) def reduceindex(M): "Reduce Miller index to the lowest equivalent integers." oldM = M g = gcd(M[0], M[1]) h = gcd(g, M[2]) while h != 1: M = M/h g = gcd(M[0], M[1]) h = gcd(g, M[2]) if np.dot(oldM, M) > 0: return M else: return -M python-ase-3.6.0.2515/ase/lattice/triclinic.py0000644000175400017540000000621611652200253017730 0ustar askhlaskhl"""Function-like object creating triclinic lattices. The following lattice creator is defined: Triclinic """ from ase.lattice.bravais import Bravais import numpy as np from ase.data import reference_states as _refstate class TriclinicFactory(Bravais): "A factory for creating triclinic lattices." # The name of the crystal structure in ChemicalElements xtal_name = "triclinic" # The natural basis vectors of the crystal structure int_basis = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]]) basis_factor = 1.0 # Converts the natural basis back to the crystallographic basis inverse_basis = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]]) inverse_basis_factor = 1.0 def get_lattice_constant(self): "Get the lattice constant of an element with triclinic crystal structure." if _refstate[self.atomicnumber]['symmetry'] != self.xtal_name: raise ValueError(('Cannot guess the %s lattice constant of' + ' an element with crystal structure %s.') % (self.xtal_name, _refstate[self.atomicnumber]['symmetry'])) return _refstate[self.atomicnumber].copy() def make_crystal_basis(self): "Make the basis matrix for the crystal unit cell and the system unit cell." lattice = self.latticeconstant if type(lattice) == type({}): a = lattice['a'] try: b = lattice['b'] except KeyError: b = a * lattice['b/a'] try: c = lattice['c'] except KeyError: c = a * lattice['c/a'] alpha = lattice['alpha'] beta = lattice['beta'] gamma = lattice['gamma'] else: if len(lattice) == 6: (a,b,c,alpha,beta,gamma) = lattice else: raise ValueError, "Improper lattice constants for triclinic crystal." degree = np.pi / 180.0 cosa = np.cos(alpha*degree) cosb = np.cos(beta*degree) sinb = np.sin(beta*degree) cosg = np.cos(gamma*degree) sing = np.sin(gamma*degree) lattice = np.array([[a,0,0], [b*cosg, b*sing,0], [c*cosb, c*(cosa-cosb*cosg)/sing, c*np.sqrt(sinb**2 - ((cosa-cosb*cosg)/sing)**2)]]) self.latticeconstant = lattice self.miller_basis = lattice self.crystal_basis = (self.basis_factor * np.dot(self.int_basis, lattice)) self.basis = np.dot(self.directions, self.crystal_basis) assert abs(np.dot(lattice[0],lattice[1]) - a*b*cosg) < 1e-5 assert abs(np.dot(lattice[0],lattice[2]) - a*c*cosb) < 1e-5 assert abs(np.dot(lattice[1],lattice[2]) - b*c*cosa) < 1e-5 assert abs(np.dot(lattice[0],lattice[0]) - a*a) < 1e-5 assert abs(np.dot(lattice[1],lattice[1]) - b*b) < 1e-5 assert abs(np.dot(lattice[2],lattice[2]) - c*c) < 1e-5 Triclinic = TriclinicFactory() python-ase-3.6.0.2515/ase/lattice/hexagonal.py0000644000175400017540000000760311452317126017725 0ustar askhlaskhl"""Function-like object creating hexagonal lattices. The following lattice creators are defined: * Hexagonal * HexagonalClosedPacked * Graphite * Graphene Example for using Graphene to create atoms object gra:: from ase.lattice.hexagonal import * import ase.io as io from ase import Atoms, Atom index1=6 index2=7 mya = 2.45 myc = 20.0 gra = Graphene(symbol = 'C',latticeconstant={'a':mya,'c':myc}, size=(index1,index2,1)) io.write('test.xyz', gra, format='xyz') """ from ase.lattice.triclinic import TriclinicFactory import numpy as np from ase.data import reference_states as _refstate class HexagonalFactory(TriclinicFactory): "A factory for creating simple hexagonal lattices." # The name of the crystal structure in ChemicalElements xtal_name = "hexagonal" def make_crystal_basis(self): "Make the basis matrix for the crystal unit cell and the system unit cell." # First convert the basis specification to a triclinic one if type(self.latticeconstant) == type({}): self.latticeconstant['alpha'] = 90 self.latticeconstant['beta'] = 90 self.latticeconstant['gamma'] = 120 self.latticeconstant['b/a'] = 1.0 else: if len(self.latticeconstant) == 2: a,c = self.latticeconstant self.latticeconstant = (a,a,c,90,90,120) else: raise ValueError, "Improper lattice constants for hexagonal crystal." TriclinicFactory.make_crystal_basis(self) def find_directions(self, directions, miller): """Find missing directions and miller indices from the specified ones. Also handles the conversion of hexagonal-style 4-index notation to the normal 3-index notation. """ directions = list(directions) miller = list(miller) for obj in (directions,miller): for i in range(3): if obj[i] is not None: (a,b,c,d) = obj[i] if a + b + c != 0: raise ValueError( ("(%d,%d,%d,%d) is not a valid hexagonal Miller " + "index, as the sum of the first three numbers " + "should be zero.") % (a,b,c,d)) x = 4*a + 2*b y = 2*a + 4*b z = 3*d obj[i] = (x,y,z) TriclinicFactory.find_directions(self, directions, miller) def print_directions_and_miller(self, txt=""): "Print direction vectors and Miller indices." print "Direction vectors of unit cell%s:" % (txt,) for i in (0,1,2): self.print_four_vector("[]", self.directions[i]) print "Miller indices of surfaces%s:" % (txt,) for i in (0,1,2): self.print_four_vector("()", self.miller[i]) def print_four_vector(self, bracket, numbers): bra, ket = bracket (x,y,z) = numbers a = 2*x - y b = -x + 2*y c = -x -y d = 2*z print " %s%d, %d, %d%s ~ %s%d, %d, %d, %d%s" % \ (bra,x,y,z,ket, bra,a,b,c,d,ket) Hexagonal = HexagonalFactory() class HexagonalClosedPackedFactory(HexagonalFactory): "A factory for creating HCP lattices." xtal_name = "hcp" bravais_basis = [[0,0,0], [1.0/3.0, 2.0/3.0, 0.5]] HexagonalClosedPacked = HexagonalClosedPackedFactory() class GraphiteFactory(HexagonalFactory): "A factory for creating graphite lattices." xtal_name = "graphite" bravais_basis = [[0,0,0], [1.0/3.0, 2.0/3.0, 0], [1.0/3.0,2.0/3.0,0.5], [2.0/3.0,1.0/3.0,0.5]] Graphite = GraphiteFactory() class GrapheneFactory(HexagonalFactory): "A factory for creating graphene lattices." xtal_name = "graphene" bravais_basis = [[0,0,0], [1.0/3.0, 2.0/3.0, 0]] Graphene = GrapheneFactory() python-ase-3.6.0.2515/ase/lattice/cubic.py0000644000175400017540000001055111652200253017032 0ustar askhlaskhl"""Function-like objects creating cubic lattices (SC, FCC, BCC and Diamond). The following lattice creators are defined: SimpleCubic FaceCenteredCubic BodyCenteredCubic Diamond """ from ase.lattice.bravais import Bravais import numpy as np from ase.data import reference_states as _refstate class SimpleCubicFactory(Bravais): "A factory for creating simple cubic lattices." # The name of the crystal structure in ChemicalElements xtal_name = "sc" # The natural basis vectors of the crystal structure int_basis = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]]) basis_factor = 1.0 # Converts the natural basis back to the crystallographic basis inverse_basis = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]]) inverse_basis_factor = 1.0 # For checking the basis volume atoms_in_unit_cell = 1 def get_lattice_constant(self): "Get the lattice constant of an element with cubic crystal structure." if _refstate[self.atomicnumber]['symmetry'] != self.xtal_name: raise ValueError, (("Cannot guess the %s lattice constant of" + " an element with crystal structure %s.") % (self.xtal_name, _refstate[self.atomicnumber]['symmetry'])) return _refstate[self.atomicnumber]['a'] def make_crystal_basis(self): "Make the basis matrix for the crystal unit cell and the system unit cell." self.crystal_basis = (self.latticeconstant * self.basis_factor * self.int_basis) self.miller_basis = self.latticeconstant * np.identity(3) self.basis = np.dot(self.directions, self.crystal_basis) self.check_basis_volume() def check_basis_volume(self): "Check the volume of the unit cell." vol1 = abs(np.linalg.det(self.basis)) cellsize = self.atoms_in_unit_cell if self.bravais_basis is not None: cellsize *= len(self.bravais_basis) vol2 = (self.calc_num_atoms() * self.latticeconstant**3 / cellsize) assert abs(vol1-vol2) < 1e-5 def find_directions(self, directions, miller): "Find missing directions and miller indices from the specified ones." directions = list(directions) miller = list(miller) # Process keyword "orthogonal" self.find_ortho(directions) self.find_ortho(miller) Bravais.find_directions(self, directions, miller) def find_ortho(self, idx): "Replace keyword 'ortho' or 'orthogonal' with a direction." for i in range(3): if isinstance(idx[i], str) and (idx[i].lower() == "ortho" or idx[i].lower() == "orthogonal"): if self.debug: print "Calculating orthogonal direction", i print idx[i-2], "X", idx[i-1], idx[i] = reduceindex(cross(idx[i-2], idx[i-1])) if self.debug: print "=", idx[i] SimpleCubic = SimpleCubicFactory() class FaceCenteredCubicFactory(SimpleCubicFactory): "A factory for creating face-centered cubic lattices." xtal_name = "fcc" int_basis = np.array([[0, 1, 1], [1, 0, 1], [1, 1, 0]]) basis_factor = 0.5 inverse_basis = np.array([[-1, 1, 1], [1, -1, 1], [1, 1, -1]]) inverse_basis_factor = 1.0 atoms_in_unit_cell = 4 FaceCenteredCubic = FaceCenteredCubicFactory() class BodyCenteredCubicFactory(SimpleCubicFactory): "A factory for creating body-centered cubic lattices." xtal_name = "bcc" int_basis = np.array([[-1, 1, 1], [1, -1, 1], [1, 1, -1]]) basis_factor = 0.5 inverse_basis = np.array([[0, 1, 1], [1, 0, 1], [1, 1, 0]]) inverse_basis_factor = 1.0 atoms_in_unit_cell = 2 BodyCenteredCubic = BodyCenteredCubicFactory() class DiamondFactory(FaceCenteredCubicFactory): "A factory for creating diamond lattices." xtal_name = "diamond" bravais_basis = [[0,0,0], [0.25, 0.25, 0.25]] Diamond = DiamondFactory() python-ase-3.6.0.2515/ase/lattice/spacegroup/0000755000175400017540000000000011757245036017557 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/lattice/spacegroup/__init__.py0000644000175400017540000000014311345166042021656 0ustar askhlaskhlfrom spacegroup import Spacegroup from crystal import crystal __all__ = ['Spacegroup', 'crystal'] python-ase-3.6.0.2515/ase/lattice/spacegroup/spacegroup.dat0000644000175400017540000112027311345166042022417 0ustar askhlaskhl1 P 1 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 1 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 2 P -1 setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 1 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 3 P 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 3 P 2 setting 2 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 4 P 21 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.0000000000 4 P 21 setting 2 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 5 C 2 setting 1 centrosymmetric 0 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 5 A 2 setting 2 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 1.0000000000 0.0000000000 0.0000000000 reciprocal primitive cell 0 1 -1 0 1 1 1 0 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 6 P m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 6 P m setting 2 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 7 P c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 7 P n setting 2 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 8 C m setting 1 centrosymmetric 0 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 8 A m setting 2 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 1.0000000000 0.0000000000 0.0000000000 reciprocal primitive cell 0 1 -1 0 1 1 1 0 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 9 C c setting 1 centrosymmetric 0 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 9 A n setting 2 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 1.0000000000 0.0000000000 0.0000000000 reciprocal primitive cell 0 1 -1 0 1 1 1 0 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 10 P 2/m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 10 P 2/m setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 11 P 21/m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.0000000000 11 P 21/m setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 12 C 2/m setting 1 centrosymmetric 1 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 12 A 2/m setting 2 centrosymmetric 1 primitive cell 0.0000000000 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 1.0000000000 0.0000000000 0.0000000000 reciprocal primitive cell 0 1 -1 0 1 1 1 0 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 13 P 2/c setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 13 P 2/n setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 14 P 21/c setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 14 P 21/n setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 15 C 2/c setting 1 centrosymmetric 1 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 15 A 2/n setting 2 centrosymmetric 1 primitive cell 0.0000000000 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 1.0000000000 0.0000000000 0.0000000000 reciprocal primitive cell 0 1 -1 0 1 1 1 0 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 2 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 16 P 2 2 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 17 P 2 2 21 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 18 P 21 21 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 19 P 21 21 21 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 20 C 2 2 21 setting 1 centrosymmetric 0 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 21 C 2 2 2 setting 1 centrosymmetric 0 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 22 F 2 2 2 setting 1 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 reciprocal primitive cell -1 1 1 1 -1 1 1 1 -1 4 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 23 I 2 2 2 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 24 I 21 21 21 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 25 P m m 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 26 P m c 21 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 27 P c c 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 28 P m a 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 29 P c a 21 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 30 P n c 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.5000000000 0.5000000000 31 P m n 21 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 32 P b a 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 33 P n a 21 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 34 P n n 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 35 C m m 2 setting 1 centrosymmetric 0 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 36 C m c 21 setting 1 centrosymmetric 0 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 37 C c c 2 setting 1 centrosymmetric 0 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 38 A m m 2 setting 1 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 1.0000000000 0.0000000000 0.0000000000 reciprocal primitive cell 0 1 -1 0 1 1 1 0 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 39 A b m 2 setting 1 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 1.0000000000 0.0000000000 0.0000000000 reciprocal primitive cell 0 1 -1 0 1 1 1 0 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.5000000000 0.0000000000 40 A m a 2 setting 1 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 1.0000000000 0.0000000000 0.0000000000 reciprocal primitive cell 0 1 -1 0 1 1 1 0 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 41 A b a 2 setting 1 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 1.0000000000 0.0000000000 0.0000000000 reciprocal primitive cell 0 1 -1 0 1 1 1 0 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 42 F m m 2 setting 1 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 reciprocal primitive cell -1 1 1 1 -1 1 1 1 -1 4 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 43 F d d 2 setting 1 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 reciprocal primitive cell -1 1 1 1 -1 1 1 1 -1 4 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.2500000000 0.2500000000 0.2500000000 -1 0 0 0 1 0 0 0 1 0.2500000000 0.2500000000 0.2500000000 44 I m m 2 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 45 I b a 2 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 46 I m a 2 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 47 P m m m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 48 P n n n setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 48 P n n n setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 49 P c c m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 50 P b a n setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 50 P b a n setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.0000000000 51 P m m a setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.0000000000 0.0000000000 52 P n n a setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 53 P m n a setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 54 P c c A setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 55 P b a m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 56 P c c n setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 57 P b c m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.0000000000 58 P n n m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 59 P m m n setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 59 P m m n setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.0000000000 0.0000000000 60 P b c n setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 61 P b c a setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 62 P n m a setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 63 C m c m setting 1 centrosymmetric 1 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 64 C m c a setting 1 centrosymmetric 1 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 65 C m m m setting 1 centrosymmetric 1 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 66 C c c m setting 1 centrosymmetric 1 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 67 C m m a setting 1 centrosymmetric 1 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 68 C c c a setting 1 centrosymmetric 0 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 68 C c c a setting 2 centrosymmetric 1 primitive cell 0.5000000000 -0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 -1 0 1 1 0 0 0 1 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 69 F m m m setting 1 centrosymmetric 1 primitive cell 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 reciprocal primitive cell -1 1 1 1 -1 1 1 1 -1 4 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 70 F d d d setting 1 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 reciprocal primitive cell -1 1 1 1 -1 1 1 1 -1 4 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.2500000000 0.2500000000 0.2500000000 1 0 0 0 1 0 0 0 -1 0.2500000000 0.2500000000 0.2500000000 1 0 0 0 -1 0 0 0 1 0.2500000000 0.2500000000 0.2500000000 -1 0 0 0 1 0 0 0 1 0.2500000000 0.2500000000 0.2500000000 70 F d d d setting 2 centrosymmetric 1 primitive cell 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 reciprocal primitive cell -1 1 1 1 -1 1 1 1 -1 4 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.7500000000 0.7500000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.7500000000 0.0000000000 0.7500000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.7500000000 0.7500000000 71 I m m m setting 1 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 72 I b a m setting 1 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 73 I b c a setting 1 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 74 I m m a setting 1 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 75 P 4 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 76 P 41 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.7500000000 77 P 42 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 78 P 43 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.7500000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.2500000000 79 I 4 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 80 I 41 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.5000000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.0000000000 0.7500000000 81 P -4 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 82 I -4 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 83 P 4/m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 84 P 42/m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 85 P 4/n setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 85 P 4/n setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.5000000000 0.0000000000 86 P 42/n setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 86 P 42/n setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 87 I 4/m setting 1 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 88 I 41/a setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.5000000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.0000000000 0.7500000000 -1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.2500000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.7500000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 88 I 41/a setting 2 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 4 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.7500000000 0.2500000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.7500000000 0.7500000000 0.7500000000 89 P 4 2 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 90 P 4 21 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 91 P 41 2 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.7500000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.7500000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.2500000000 92 P 41 21 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.7500000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.2500000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.7500000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 93 P 42 2 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 94 P 42 21 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 95 P 43 2 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.7500000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.2500000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.2500000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.7500000000 96 P 43 21 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.7500000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.2500000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.7500000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.2500000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 97 I 4 2 2 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 98 I 41 2 2 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.5000000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.0000000000 0.7500000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.7500000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.2500000000 0 1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 99 P 4 m m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 100 P 4 b n setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 101 P 42 c m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 102 P 42 n m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 103 P 4 c c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 104 P 4 n c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 105 P 42 m c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 106 P 42 b c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 107 I 4 m m setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 108 I 4 c m setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 109 I 41 m d setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.5000000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.0000000000 0.7500000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.5000000000 0.2500000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.0000000000 0.7500000000 110 I 41 c d setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.5000000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.0000000000 0.7500000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.5000000000 0.7500000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.0000000000 0.2500000000 111 P -4 2 m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 112 P -4 2 c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 113 P -4 21 m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 114 P -4 21 c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 115 P -4 m 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 116 P -4 c 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 117 P -4 b 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 118 P -4 n 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 119 I -4 m 2 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 120 I -4 c 2 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 121 I -4 2 m setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 122 I -4 2 d setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.7500000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.0000000000 0.7500000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.0000000000 0.7500000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.0000000000 0.7500000000 123 P 4/m m m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 124 P 4/m c c setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 125 P 4/n b m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 16 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 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0.5000000000 0.0000000000 126 P 4/n n c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 16 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 126 P 4/n n c setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 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reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 129 P 4/n m m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 16 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 129 P 4/n m m setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 130 P 4/n c c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 16 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 130 P 4/n c c setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 131 P 42/m m c setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 132 P 42/m c m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 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0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 136 P 42/m n m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 137 P 42/n m c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 16 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 137 P 42/n m c setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 138 P 42/n c m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 16 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 138 P 42/n c m setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 139 I 4/m m m setting 1 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 140 I 4/m c m setting 1 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 141 I 41/a m d setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 16 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.5000000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.0000000000 0.7500000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.7500000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.2500000000 0 1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.2500000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.7500000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.0000000000 0.7500000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.5000000000 0.2500000000 141 I 41/a m d setting 2 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.2500000000 0.7500000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.2500000000 0.2500000000 0.7500000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.2500000000 0.7500000000 0.2500000000 0 -1 0 -1 0 0 0 0 -1 0.2500000000 0.2500000000 0.7500000000 142 I 41/a c d setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 16 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.5000000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.0000000000 0.7500000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.2500000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.7500000000 0 1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.2500000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.7500000000 0 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.5000000000 0.0000000000 0.2500000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.5000000000 0.7500000000 142 I 41/a c d setting 2 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 8 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.2500000000 0.7500000000 0.2500000000 0 1 0 -1 0 0 0 0 1 0.2500000000 0.2500000000 0.7500000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.2500000000 0.7500000000 0.7500000000 0 -1 0 -1 0 0 0 0 -1 0.2500000000 0.2500000000 0.2500000000 143 P 3 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 3 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 144 P 31 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 3 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 145 P 32 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 3 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 146 R 3 setting 1 centrosymmetric 0 primitive cell 0.6666666667 0.3333333333 0.3333333333 -0.3333333333 0.3333333333 0.3333333333 -0.3333333333 -0.6666666667 0.3333333333 reciprocal primitive cell 1 1 0 -1 1 1 0 -1 1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.6666666667 0.3333333333 0.3333333333 0.3333333333 0.6666666667 0.6666666667 3 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 146 R 3 setting 2 centrosymmetric 0 primitive cell 0.3333333333 0.6666666667 -0.3333333333 0.3333333333 -0.3333333333 -0.3333333333 -0.6666666667 -0.3333333333 -0.3333333333 reciprocal primitive cell 1 1 0 1 -1 -1 -1 0 -1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.3333333333 0.6666666667 0.3333333333 0.6666666667 0.3333333333 0.6666666667 3 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 147 P -3 setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 3 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 148 R -3 setting 1 centrosymmetric 1 primitive cell 0.6666666667 0.3333333333 0.3333333333 -0.3333333333 0.3333333333 0.3333333333 -0.3333333333 -0.6666666667 0.3333333333 reciprocal primitive cell 1 1 0 -1 1 1 0 -1 1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.6666666667 0.3333333333 0.3333333333 0.3333333333 0.6666666667 0.6666666667 3 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 148 R -3 setting 2 centrosymmetric 1 primitive cell 0.3333333333 0.6666666667 -0.3333333333 0.3333333333 -0.3333333333 -0.3333333333 -0.6666666667 -0.3333333333 -0.3333333333 reciprocal primitive cell 1 1 0 1 -1 -1 -1 0 -1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.3333333333 0.6666666667 0.3333333333 0.6666666667 0.3333333333 0.6666666667 3 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 149 P 3 1 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 150 P 3 2 1 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 151 P 31 1 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.6666666667 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.3333333333 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 152 P 31 2 1 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.6666666667 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.3333333333 153 P 32 1 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.3333333333 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.6666666667 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 154 P 32 2 1 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.3333333333 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.6666666667 155 R 3 2 setting 1 centrosymmetric 0 primitive cell 0.6666666667 0.3333333333 0.3333333333 -0.3333333333 0.3333333333 0.3333333333 -0.3333333333 -0.6666666667 0.3333333333 reciprocal primitive cell 1 1 0 -1 1 1 0 -1 1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.6666666667 0.3333333333 0.3333333333 0.3333333333 0.6666666667 0.6666666667 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 155 R 3 2 setting 2 centrosymmetric 0 primitive cell 0.3333333333 0.6666666667 -0.3333333333 0.3333333333 -0.3333333333 -0.3333333333 -0.6666666667 -0.3333333333 -0.3333333333 reciprocal primitive cell 1 1 0 1 -1 -1 -1 0 -1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.3333333333 0.6666666667 0.3333333333 0.6666666667 0.3333333333 0.6666666667 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 0 -1 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 0 -1 0 -1 0 0 0.0000000000 0.0000000000 0.0000000000 156 P 3 m 1 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 157 P 3 1 m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 158 P 3 c 1 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 1 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 0 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 159 P 3 1 c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 160 R 3 m setting 1 centrosymmetric 0 primitive cell 0.6666666667 0.3333333333 0.3333333333 -0.3333333333 0.3333333333 0.3333333333 -0.3333333333 -0.6666666667 0.3333333333 reciprocal primitive cell 1 1 0 -1 1 1 0 -1 1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.6666666667 0.3333333333 0.3333333333 0.3333333333 0.6666666667 0.6666666667 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 160 R 3 m setting 2 centrosymmetric 0 primitive cell 0.3333333333 0.6666666667 -0.3333333333 0.3333333333 -0.3333333333 -0.3333333333 -0.6666666667 -0.3333333333 -0.3333333333 reciprocal primitive cell 1 1 0 1 -1 -1 -1 0 -1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.3333333333 0.6666666667 0.3333333333 0.6666666667 0.3333333333 0.6666666667 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 0 1 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 0 1 0 1 0 0 0.0000000000 0.0000000000 0.0000000000 161 R 3 c setting 1 centrosymmetric 0 primitive cell 0.6666666667 0.3333333333 0.3333333333 -0.3333333333 0.3333333333 0.3333333333 -0.3333333333 -0.6666666667 0.3333333333 reciprocal primitive cell 1 1 0 -1 1 1 0 -1 1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.6666666667 0.3333333333 0.3333333333 0.3333333333 0.6666666667 0.6666666667 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 1 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 0 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 161 R 3 c setting 2 centrosymmetric 0 primitive cell 0.3333333333 0.6666666667 -0.3333333333 0.3333333333 -0.3333333333 -0.3333333333 -0.6666666667 -0.3333333333 -0.3333333333 reciprocal primitive cell 1 1 0 1 -1 -1 -1 0 -1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.3333333333 0.6666666667 0.3333333333 0.6666666667 0.3333333333 0.6666666667 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 0 1 0 1 0 0.5000000000 0.5000000000 0.5000000000 0 0 1 0 1 0 1 0 0 0.5000000000 0.5000000000 0.5000000000 162 P -3 1 m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 163 P -3 1 c setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 164 P -3 m 1 setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 165 P -3 c 1 setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 166 R -3 m setting 1 centrosymmetric 1 primitive cell 0.6666666667 0.3333333333 0.3333333333 -0.3333333333 0.3333333333 0.3333333333 -0.3333333333 -0.6666666667 0.3333333333 reciprocal primitive cell 1 1 0 -1 1 1 0 -1 1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.6666666667 0.3333333333 0.3333333333 0.3333333333 0.6666666667 0.6666666667 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 166 R -3 m setting 2 centrosymmetric 1 primitive cell 0.3333333333 0.6666666667 -0.3333333333 0.3333333333 -0.3333333333 -0.3333333333 -0.6666666667 -0.3333333333 -0.3333333333 reciprocal primitive cell 1 1 0 1 -1 -1 -1 0 -1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.3333333333 0.6666666667 0.3333333333 0.6666666667 0.3333333333 0.6666666667 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 0 -1 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 0 -1 0 -1 0 0 0.0000000000 0.0000000000 0.0000000000 167 R -3 c setting 1 centrosymmetric 1 primitive cell 0.6666666667 0.3333333333 0.3333333333 -0.3333333333 0.3333333333 0.3333333333 -0.3333333333 -0.6666666667 0.3333333333 reciprocal primitive cell 1 1 0 -1 1 1 0 -1 1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.6666666667 0.3333333333 0.3333333333 0.3333333333 0.6666666667 0.6666666667 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 167 R -3 c setting 2 centrosymmetric 1 primitive cell 0.3333333333 0.6666666667 -0.3333333333 0.3333333333 -0.3333333333 -0.3333333333 -0.6666666667 -0.3333333333 -0.3333333333 reciprocal primitive cell 1 1 0 1 -1 -1 -1 0 -1 3 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.3333333333 0.6666666667 0.3333333333 0.6666666667 0.3333333333 0.6666666667 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 0 -1 0 -1 0 0.5000000000 0.5000000000 0.5000000000 0 0 -1 0 -1 0 -1 0 0 0.5000000000 0.5000000000 0.5000000000 168 P 6 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 169 P 61 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.8333333333 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.1666666667 170 P 65 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.1666666667 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.8333333333 171 P 62 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 172 P 64 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 173 P 63 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 174 P -6 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 175 P 6/m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 176 P 63/m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 6 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 177 P 6 2 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 178 P 61 2 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.8333333333 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.1666666667 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.3333333333 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.6666666667 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.8333333333 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.1666666667 179 P 65 2 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.1666666667 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.8333333333 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.6666666667 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.3333333333 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.1666666667 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.8333333333 180 P 62 2 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.6666666667 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.3333333333 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.6666666667 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.3333333333 181 P 64 2 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.3333333333 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.6666666667 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.3333333333 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.6666666667 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.3333333333 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.6666666667 182 P 63 2 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 183 P 6 m m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 184 P 6 c c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 1 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 0 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 185 P 63 c m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 1 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 0 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 186 P 63 m c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 187 P -6 m 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 188 P -6 c 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 1 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 0 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 189 P -6 2 m setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 190 P -6 2 c setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 191 P 6/m m m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 192 P 6/m c c setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 193 P 63/m c m setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 194 P 63/m m c setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 -1 1 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 1 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 -1 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 -1 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 -1 1 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 1 0 0 1 -1 0 0 0 -1 0.0000000000 0.0000000000 0.5000000000 195 P 2 3 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.0000000000 0.0000000000 0.0000000000 196 F 2 3 setting 1 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 reciprocal primitive cell -1 1 1 1 -1 1 1 1 -1 4 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.0000000000 0.0000000000 0.0000000000 197 I 2 3 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.0000000000 0.0000000000 0.0000000000 198 P 21 3 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.5000000000 0.5000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.5000000000 0.0000000000 0.5000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.5000000000 0.5000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.5000000000 0.5000000000 0 1 0 0 0 -1 -1 0 0 0.5000000000 0.5000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.5000000000 0.0000000000 0.5000000000 199 I 21 3 setting 1 centrosymmetric 0 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.5000000000 0.5000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.5000000000 0.0000000000 0.5000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.5000000000 0.5000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.5000000000 0.5000000000 0 1 0 0 0 -1 -1 0 0 0.5000000000 0.5000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.5000000000 0.0000000000 0.5000000000 200 P m -3 setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.0000000000 0.0000000000 0.0000000000 201 P n -3 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 24 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 0 -1 -1 0 0 0 -1 0 0.5000000000 0.5000000000 0.5000000000 0 0 -1 1 0 0 0 1 0 0.5000000000 0.5000000000 0.5000000000 0 0 1 1 0 0 0 -1 0 0.5000000000 0.5000000000 0.5000000000 0 0 1 -1 0 0 0 1 0 0.5000000000 0.5000000000 0.5000000000 0 -1 0 0 0 -1 -1 0 0 0.5000000000 0.5000000000 0.5000000000 0 1 0 0 0 -1 1 0 0 0.5000000000 0.5000000000 0.5000000000 0 -1 0 0 0 1 1 0 0 0.5000000000 0.5000000000 0.5000000000 0 1 0 0 0 1 -1 0 0 0.5000000000 0.5000000000 0.5000000000 201 P n -3 setting 2 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.5000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.0000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.5000000000 0.5000000000 0 0 -1 -1 0 0 0 1 0 0.5000000000 0.5000000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.5000000000 0.0000000000 0.5000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.5000000000 0.0000000000 0.5000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.5000000000 0.5000000000 0 -1 0 0 0 -1 1 0 0 0.5000000000 0.5000000000 0.0000000000 202 F m -3 setting 1 centrosymmetric 1 primitive cell 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 reciprocal primitive cell -1 1 1 1 -1 1 1 1 -1 4 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.0000000000 0.0000000000 0.0000000000 203 F d -3 setting 1 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 reciprocal primitive cell -1 1 1 1 -1 1 1 1 -1 4 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 24 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 -1 0.2500000000 0.2500000000 0.2500000000 1 0 0 0 1 0 0 0 -1 0.2500000000 0.2500000000 0.2500000000 1 0 0 0 -1 0 0 0 1 0.2500000000 0.2500000000 0.2500000000 -1 0 0 0 1 0 0 0 1 0.2500000000 0.2500000000 0.2500000000 0 0 -1 -1 0 0 0 -1 0 0.2500000000 0.2500000000 0.2500000000 0 0 -1 1 0 0 0 1 0 0.2500000000 0.2500000000 0.2500000000 0 0 1 1 0 0 0 -1 0 0.2500000000 0.2500000000 0.2500000000 0 0 1 -1 0 0 0 1 0 0.2500000000 0.2500000000 0.2500000000 0 -1 0 0 0 -1 -1 0 0 0.2500000000 0.2500000000 0.2500000000 0 1 0 0 0 -1 1 0 0 0.2500000000 0.2500000000 0.2500000000 0 -1 0 0 0 1 1 0 0 0.2500000000 0.2500000000 0.2500000000 0 1 0 0 0 1 -1 0 0 0.2500000000 0.2500000000 0.2500000000 203 F d -3 setting 2 centrosymmetric 1 primitive cell 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 reciprocal primitive cell -1 1 1 1 -1 1 1 1 -1 4 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.2500000000 0.2500000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.2500000000 0.0000000000 0.2500000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.2500000000 0.2500000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.2500000000 0.2500000000 0 0 -1 -1 0 0 0 1 0 0.2500000000 0.2500000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.2500000000 0.0000000000 0.2500000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.2500000000 0.0000000000 0.2500000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.2500000000 0.2500000000 0 -1 0 0 0 -1 1 0 0 0.2500000000 0.2500000000 0.0000000000 204 I m -3 setting 1 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.0000000000 0.0000000000 0.0000000000 205 P a -3 setting 1 centrosymmetric 1 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 12 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.5000000000 0.5000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.5000000000 0.0000000000 0.5000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.5000000000 0.5000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.5000000000 0.5000000000 0 1 0 0 0 -1 -1 0 0 0.5000000000 0.5000000000 0.0000000000 0 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reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 24 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 -1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 0 -1 0 1 0 0 0 0 1 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 0 1 0 -1 0 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 0 1 0 1 0 0.5000000000 0.5000000000 0.5000000000 -1 0 0 0 0 -1 0 -1 0 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 0 -1 0 1 0 0.5000000000 0.5000000000 0.5000000000 0 0 1 0 1 0 -1 0 0 0.5000000000 0.5000000000 0.5000000000 0 0 1 0 -1 0 1 0 0 0.5000000000 0.5000000000 0.5000000000 0 0 -1 0 1 0 1 0 0 0.5000000000 0.5000000000 0.5000000000 0 0 -1 0 -1 0 -1 0 0 0.5000000000 0.5000000000 0.5000000000 209 F 4 3 2 setting 1 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 reciprocal primitive cell -1 1 1 1 -1 1 1 1 -1 4 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 24 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 0 1 0 -1 0 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 0 1 0 1 0 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 0 -1 0 -1 0 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 0 -1 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 0 1 0 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 0 -1 0 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 0 1 0 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 0 -1 0 -1 0 0 0.0000000000 0.0000000000 0.0000000000 210 F 41 3 2 setting 1 centrosymmetric 0 primitive cell 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 reciprocal primitive cell -1 1 1 1 -1 1 1 1 -1 4 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 0.0000000000 24 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.5000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 1 0 0 0 -1 0 0 0 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0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 0 1 0 -1 0 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 0 1 0 1 0 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 0 -1 0 -1 0 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 0 -1 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 0 1 0 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 0 -1 0 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 0 1 0 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 0 -1 0 -1 0 0 0.0000000000 0.0000000000 0.0000000000 212 P 43 3 2 setting 1 centrosymmetric 0 primitive cell 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 0.0000000000 0.0000000000 0.0000000000 1.0000000000 reciprocal primitive cell 1 0 0 0 1 0 0 0 1 1 subtranslations 0.0000000000 0.0000000000 0.0000000000 24 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.5000000000 0.5000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.5000000000 0.0000000000 0.5000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.5000000000 0.5000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.5000000000 0.5000000000 0 1 0 0 0 -1 -1 0 0 0.5000000000 0.5000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.5000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 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0.7500000000 0 -1 0 0 0 -1 1 0 0 0.2500000000 0.7500000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.7500000000 0.2500000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.5000000000 0.5000000000 0.5000000000 0 1 0 -1 0 0 0 0 1 0.2500000000 0.0000000000 0.7500000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.7500000000 0.2500000000 1 0 0 0 0 1 0 -1 0 0.7500000000 0.2500000000 0.0000000000 -1 0 0 0 0 1 0 1 0 0.0000000000 0.7500000000 0.2500000000 -1 0 0 0 0 -1 0 -1 0 0.5000000000 0.5000000000 0.5000000000 1 0 0 0 0 -1 0 1 0 0.2500000000 0.0000000000 0.7500000000 0 0 1 0 1 0 -1 0 0 0.7500000000 0.2500000000 0.0000000000 0 0 1 0 -1 0 1 0 0 0.2500000000 0.0000000000 0.7500000000 0 0 -1 0 1 0 1 0 0 0.0000000000 0.7500000000 0.2500000000 0 0 -1 0 -1 0 -1 0 0 0.5000000000 0.5000000000 0.5000000000 229 I m -3 m setting 1 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 24 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 -1 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 0 0 -1 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 1 0 1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 -1 0 0 0 0 -1 0.0000000000 0.0000000000 0.0000000000 0 1 0 -1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 0 -1 0 1 0 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 0 1 0 -1 0 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 0 1 0 1 0 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 0 -1 0 -1 0 0.0000000000 0.0000000000 0.0000000000 1 0 0 0 0 -1 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 0 1 0 -1 0 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 0 -1 0 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 0 1 0 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 0 -1 0 -1 0 -1 0 0 0.0000000000 0.0000000000 0.0000000000 230 I a -3 d setting 1 centrosymmetric 1 primitive cell -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 0.5000000000 0.5000000000 0.5000000000 -0.5000000000 reciprocal primitive cell 0 1 1 1 0 1 1 1 0 2 subtranslations 0.0000000000 0.0000000000 0.0000000000 0.5000000000 0.5000000000 0.5000000000 24 symmetry operations (rot+trans) 1 0 0 0 1 0 0 0 1 0.0000000000 0.0000000000 0.0000000000 -1 0 0 0 -1 0 0 0 1 0.5000000000 0.0000000000 0.5000000000 -1 0 0 0 1 0 0 0 -1 0.0000000000 0.5000000000 0.5000000000 1 0 0 0 -1 0 0 0 -1 0.5000000000 0.5000000000 0.0000000000 0 0 1 1 0 0 0 1 0 0.0000000000 0.0000000000 0.0000000000 0 0 1 -1 0 0 0 -1 0 0.5000000000 0.5000000000 0.0000000000 0 0 -1 -1 0 0 0 1 0 0.5000000000 0.0000000000 0.5000000000 0 0 -1 1 0 0 0 -1 0 0.0000000000 0.5000000000 0.5000000000 0 1 0 0 0 1 1 0 0 0.0000000000 0.0000000000 0.0000000000 0 -1 0 0 0 1 -1 0 0 0.0000000000 0.5000000000 0.5000000000 0 1 0 0 0 -1 -1 0 0 0.5000000000 0.5000000000 0.0000000000 0 -1 0 0 0 -1 1 0 0 0.5000000000 0.0000000000 0.5000000000 0 1 0 1 0 0 0 0 -1 0.7500000000 0.2500000000 0.2500000000 0 -1 0 -1 0 0 0 0 -1 0.7500000000 0.7500000000 0.7500000000 0 1 0 -1 0 0 0 0 1 0.2500000000 0.2500000000 0.7500000000 0 -1 0 1 0 0 0 0 1 0.2500000000 0.7500000000 0.2500000000 1 0 0 0 0 1 0 -1 0 0.7500000000 0.2500000000 0.2500000000 -1 0 0 0 0 1 0 1 0 0.2500000000 0.7500000000 0.2500000000 -1 0 0 0 0 -1 0 -1 0 0.7500000000 0.7500000000 0.7500000000 1 0 0 0 0 -1 0 1 0 0.2500000000 0.2500000000 0.7500000000 0 0 1 0 1 0 -1 0 0 0.7500000000 0.2500000000 0.2500000000 0 0 1 0 -1 0 1 0 0 0.2500000000 0.2500000000 0.7500000000 0 0 -1 0 1 0 1 0 0 0.2500000000 0.7500000000 0.2500000000 0 0 -1 0 -1 0 -1 0 0 0.7500000000 0.7500000000 0.7500000000 python-ase-3.6.0.2515/ase/lattice/spacegroup/spacegroup.py0000644000175400017540000006240511647744227022314 0ustar askhlaskhl# Copyright (C) 2010, Jesper Friis # (see accompanying license files for details). """Definition of the Spacegroup class. This module only depends on NumPy and the space group database. """ import os import warnings import numpy as np __all__ = ['Spacegroup'] class SpacegroupError(Exception): """Base exception for the spacegroup module.""" pass class SpacegroupNotFoundError(SpacegroupError): """Raised when given space group cannot be found in data base.""" pass class SpacegroupValueError(SpacegroupError): """Raised when arguments have invalid value.""" pass class Spacegroup(object): """A space group class. The instances of Spacegroup describes the symmetry operations for the given space group. Example: >>> from ase.lattice.spacegroup import Spacegroup >>> >>> sg = Spacegroup(225) >>> print 'Space group', sg.no, sg.symbol Space group 225 F m -3 m >>> sg.scaled_primitive_cell array([[ 0. , 0.5, 0.5], [ 0.5, 0. , 0.5], [ 0.5, 0.5, 0. ]]) >>> sites, kinds = sg.equivalent_sites([[0,0,0]]) >>> sites array([[ 0. , 0. , 0. ], [ 0. , 0.5, 0.5], [ 0.5, 0. , 0.5], [ 0.5, 0.5, 0. ]]) """ no = property( lambda self: self._no, doc='Space group number in International Tables of Crystallography.') symbol = property( lambda self: self._symbol, doc='Hermann-Mauguin (or international) symbol for the space group.') setting = property( lambda self: self._setting, doc='Space group setting. Either one or two.') lattice = property( lambda self: self._symbol[0], doc="""Lattice type: P primitive I body centering, h+k+l=2n F face centering, h,k,l all odd or even A,B,C single face centering, k+l=2n, h+l=2n, h+k=2n R rhombohedral centering, -h+k+l=3n (obverse); h-k+l=3n (reverse) """) centrosymmetric = property( lambda self: self._centrosymmetric, doc='Whether a center of symmetry exists.') scaled_primitive_cell = property( lambda self: self._scaled_primitive_cell, doc='Primitive cell in scaled coordinates as a matrix with the ' 'primitive vectors along the rows.') reciprocal_cell = property( lambda self: self._reciprocal_cell, doc='Tree Miller indices that span all kinematically non-forbidden ' 'reflections as a matrix with the Miller indices along the rows.') nsubtrans = property( lambda self: len(self._subtrans), doc='Number of cell-subtranslation vectors.') def _get_nsymop(self): """Returns total number of symmetry operations.""" if self.centrosymmetric: return 2 * len(self._rotations) * len(self._subtrans) else: return len(self._rotations) * len(self._subtrans) nsymop = property(_get_nsymop, doc='Total number of symmetry operations.') subtrans = property( lambda self: self._subtrans, doc='Translations vectors belonging to cell-sub-translations.') rotations = property( lambda self: self._rotations, doc='Symmetry rotation matrices. The invertions are not included ' 'for centrosymmetrical crystals.') translations = property( lambda self: self._translations, doc='Symmetry translations. The invertions are not included ' 'for centrosymmetrical crystals.') def __init__(self, spacegroup, setting=1, datafile=None): """Returns a new Spacegroup instance. Parameters: spacegroup : int | string | Spacegroup instance The space group number in International Tables of Crystallography or its Hermann-Mauguin symbol. E.g. spacegroup=225 and spacegroup='F m -3 m' are equivalent. setting : 1 | 2 Some space groups have more than one setting. `setting` determines Which of these should be used. datafile : None | string Path to database file. If `None`, the the default database will be used. """ if isinstance(spacegroup, Spacegroup): for k, v in spacegroup.__dict__.iteritems(): setattr(self, k, v) return if not datafile: datafile = get_datafile() f = open(datafile, 'r') try: _read_datafile(self, spacegroup, setting, f) finally: f.close() def __repr__(self): return 'Spacegroup(%d, setting=%d)' % (self.no, self.setting) def __str__(self): """Return a string representation of the space group data in the same format as found the database.""" retval = [] # no, symbol retval.append('%-3d %s\n' % (self.no, self.symbol)) # setting retval.append(' setting %d\n' % (self.setting)) # centrosymmetric retval.append(' centrosymmetric %d\n' % (self.centrosymmetric)) # primitive vectors retval.append(' primitive vectors\n') for i in range(3): retval.append(' ') for j in range(3): retval.append(' %13.10f' % (self.scaled_primitive_cell[i, j])) retval.append('\n') # primitive reciprocal vectors retval.append(' reciprocal vectors\n') for i in range(3): retval.append(' ') for j in range(3): retval.append(' %3d' % (self.reciprocal_cell[i, j])) retval.append('\n') # sublattice retval.append(' %d subtranslations\n' % self.nsubtrans) for i in range(self.nsubtrans): retval.append(' ') for j in range(3): retval.append(' %13.10f' % (self.subtrans[i, j])) retval.append('\n') # symmetry operations nrot = len(self.rotations) retval.append(' %d symmetry operations (rot+trans)\n' % nrot) for i in range(nrot): retval.append(' ') for j in range(3): retval.append(' ') for k in range(3): retval.append(' %2d' % (self.rotations[i, j, k])) retval.append(' ') for j in range(3): retval.append(' %13.10f' % self.translations[i, j]) retval.append('\n') retval.append('\n') return ''.join(retval) def __eq__(self, other): """Chech whether *self* and *other* refer to the same spacegroup number and setting.""" if not isinstance(other, Spacegroup): other = Spacegroup(other) return self.no == other.no and self.setting == other.setting def __index__(self): return self.no def get_symop(self): """Returns all symmetry operations (including inversions and subtranslations) as a sequence of (rotation, translation) tuples.""" symop = [] parities = [1] if self.centrosymmetric: parities.append(-1) for parity in parities: for subtrans in self.subtrans: for rot, trans in zip(self.rotations, self.translations): newtrans = np.mod(trans + subtrans, 1) symop.append((parity*rot, newtrans)) return symop def get_op(self): """Returns all symmetry operations (including inversions and subtranslations), but unlike get_symop(), they are returned as two ndarrays.""" if self.centrosymmetric: rot = np.tile(np.vstack((self.rotations, -self.rotations)), (self.nsubtrans, 1, 1)) trans = np.repeat(self.subtrans, 2*len(self.rotations), axis=0) else: rot = np.tile(self.rotations, (self.nsubtrans, 1, 1)) trans = np.repeat(self.subtrans, len(self.rotations), axis=0) return rot, trans def get_rotations(self): """Return all rotations, including inversions for centrosymmetric crystals.""" if self.centrosymmetric: return np.vstack((self.rotations, -self.rotations)) else: return self.rotations def equivalent_reflections(self, hkl): """Return all equivalent reflections to the list of Miller indices in hkl. Example: >>> from ase.lattice.spacegroup import Spacegroup >>> sg = Spacegroup(225) # fcc >>> sg.equivalent_reflections([[0, 0, 2]]) array([[ 0, 0, -2], [ 0, -2, 0], [-2, 0, 0], [ 2, 0, 0], [ 0, 2, 0], [ 0, 0, 2]]) """ hkl = np.array(hkl, dtype='int', ndmin=2) rot = self.get_rotations() n, nrot = len(hkl), len(rot) R = rot.transpose(0, 2, 1).reshape((3*nrot, 3)).T refl = np.dot(hkl, R).reshape((n*nrot, 3)) ind = np.lexsort(refl.T) refl = refl[ind] diff = np.diff(refl, axis=0) mask = np.any(diff, axis=1) return np.vstack((refl[mask], refl[-1,:])) def symmetry_normalised_reflections(self, hkl): """Returns an array of same size as *hkl*, containing the corresponding symmetry-equivalent reflections of lowest indices. Example: >>> from ase.lattice.spacegroup import Spacegroup >>> sg = Spacegroup(225) # fcc >>> sg.symmetry_normalised_reflections([[2, 0, 0], [0, 2, 0]]) array([[ 0, 0, -2], [ 0, 0, -2]]) """ hkl = np.array(hkl, dtype=int, ndmin=2) normalised = np.empty(hkl.shape, int) R = self.get_rotations().transpose(0, 2, 1) for i, g in enumerate(hkl): gsym = np.dot(R, g) j = np.lexsort(gsym.T)[0] normalised[i,:] = gsym[j] return normalised def unique_reflections(self, hkl): """Returns a subset *hkl* containing only the symmetry-unique reflections. Example: >>> from ase.lattice.spacegroup import Spacegroup >>> sg = Spacegroup(225) # fcc >>> sg.unique_reflections([[ 2, 0, 0], ... [ 0, -2, 0], ... [ 2, 2, 0], ... [ 0, -2, -2]]) array([[2, 0, 0], [2, 2, 0]]) """ hkl = np.array(hkl, dtype=int, ndmin=2) hklnorm = self.symmetry_normalised_reflections(hkl) perm = np.lexsort(hklnorm.T) iperm = perm.argsort() xmask = np.abs(np.diff(hklnorm[perm], axis=0)).any(axis=1) mask = np.concatenate(([True], xmask)) imask = mask[iperm] return hkl[imask] def equivalent_sites(self, scaled_positions, ondublicates='error', symprec=1e-3): """Returns the scaled positions and all their equivalent sites. Parameters: scaled_positions: list | array List of non-equivalent sites given in unit cell coordinates. ondublicates : 'keep' | 'replace' | 'warn' | 'error' Action if `scaled_positions` contain symmetry-equivalent positions: 'keep' ignore additional symmetry-equivalent positions 'replace' replace 'warn' like 'keep', but issue an UserWarning 'error' raises a SpacegroupValueError symprec: float Minimum "distance" betweed two sites in scaled coordinates before they are counted as the same site. Returns: sites: array A NumPy array of equivalent sites. kinds: list A list of integer indices specifying which input site is equivalent to the corresponding returned site. Example: >>> from ase.lattice.spacegroup import Spacegroup >>> sg = Spacegroup(225) # fcc >>> sites, kinds = sg.equivalent_sites([[0, 0, 0], [0.5, 0.0, 0.0]]) >>> sites array([[ 0. , 0. , 0. ], [ 0. , 0.5, 0.5], [ 0.5, 0. , 0.5], [ 0.5, 0.5, 0. ], [ 0.5, 0. , 0. ], [ 0. , 0.5, 0. ], [ 0. , 0. , 0.5], [ 0.5, 0.5, 0.5]]) >>> kinds [0, 0, 0, 0, 1, 1, 1, 1] """ kinds = [] sites = [] symprec2 = symprec**2 scaled = np.array(scaled_positions, ndmin=2) for kind, pos in enumerate(scaled): for rot, trans in self.get_symop(): site = np.mod(np.dot(rot, pos) + trans, 1.) if not sites: sites.append(site) kinds.append(kind) continue t = site - sites mask = np.sum(t*t, 1) < symprec2 if np.any(mask): ind = np.argwhere(mask)[0][0] if kinds[ind] == kind: pass elif ondublicates == 'keep': pass elif ondublicates == 'replace': kinds[ind] = kind elif ondublicates == 'warn': warnings.warn('scaled_positions %d and %d ' 'are equivalent'%(kinds[ind], kind)) elif ondublicates == 'error': raise SpacegroupValueError( 'scaled_positions %d and %d are equivalent'%( kinds[ind], kind)) else: raise SpacegroupValueError( 'Argument "ondublicates" must be one of: ' '"keep", "replace", "warn" or "error".') else: sites.append(site) kinds.append(kind) return np.array(sites), kinds def symmetry_normalised_sites(self, scaled_positions): """Returns an array of same size as *scaled_positions*, containing the corresponding symmetry-equivalent sites within the unit cell of lowest indices. Example: >>> from ase.lattice.spacegroup import Spacegroup >>> sg = Spacegroup(225) # fcc >>> sg.symmetry_normalised_sites([[0.0, 0.5, 0.5], [1.0, 1.0, 0.0]]) array([[ 0., 0., 0.], [ 0., 0., 0.]]) """ scaled = np.array(scaled_positions, ndmin=2) normalised = np.empty(scaled.shape, np.float) rot, trans = self.get_op() for i, pos in enumerate(scaled): sympos = np.dot(rot, pos) + trans # Must be done twice, see the scaled_positions.py test sympos %= 1.0 sympos %= 1.0 j = np.lexsort(sympos.T)[0] normalised[i,:] = sympos[j] return normalised def unique_sites(self, scaled_positions, symprec=1e-3, output_mask=False): """Returns a subset of *scaled_positions* containing only the symmetry-unique positions. If *output_mask* is True, a boolean array masking the subset is also returned. Example: >>> from ase.lattice.spacegroup import Spacegroup >>> sg = Spacegroup(225) # fcc >>> sg.unique_sites([[0.0, 0.0, 0.0], ... [0.5, 0.5, 0.0], ... [1.0, 0.0, 0.0], ... [0.5, 0.0, 0.0]]) array([[ 0. , 0. , 0. ], [ 0.5, 0. , 0. ]]) """ scaled = np.array(scaled_positions, ndmin=2) symnorm = self.symmetry_normalised_sites(scaled) perm = np.lexsort(symnorm.T) iperm = perm.argsort() xmask = np.abs(np.diff(symnorm[perm], axis=0)).max(axis=1) > symprec mask = np.concatenate(([True], xmask)) imask = mask[iperm] if output_mask: return scaled[imask], imask else: return scaled[imask] def tag_sites(self, scaled_positions, symprec=1e-3): """Returns an integer array of the same length as *scaled_positions*, tagging all equivalent atoms with the same index. Example: >>> from ase.lattice.spacegroup import Spacegroup >>> sg = Spacegroup(225) # fcc >>> sg.tag_sites([[0.0, 0.0, 0.0], ... [0.5, 0.5, 0.0], ... [1.0, 0.0, 0.0], ... [0.5, 0.0, 0.0]]) array([0, 0, 0, 1]) """ scaled = np.array(scaled_positions, ndmin=2) scaled %= 1.0 scaled %= 1.0 tags = -np.ones((len(scaled), ), dtype=int) mask = np.ones((len(scaled), ), dtype=np.bool) rot, trans = self.get_op() i = 0 while mask.any(): pos = scaled[mask][0] sympos = np.dot(rot, pos) + trans # Must be done twice, see the scaled_positions.py test sympos %= 1.0 sympos %= 1.0 m = ~np.all(np.any(np.abs(scaled[np.newaxis,:,:] - sympos[:,np.newaxis,:]) > symprec, axis=2), axis=0) assert not np.any((~mask) & m) tags[m] = i mask &= ~m i += 1 return tags def get_datafile(): """Return default path to datafile.""" return os.path.join(os.path.dirname(__file__), 'spacegroup.dat') def format_symbol(symbol): """Returns well formatted Hermann-Mauguin symbol as extected by the database, by correcting the case and adding missing or removing dublicated spaces.""" fixed = [] s = symbol.strip() s = s[0].upper() + s[1:].lower() for c in s: if c.isalpha(): fixed.append(' ' + c + ' ') elif c.isspace(): fixed.append(' ') elif c.isdigit(): fixed.append(c) elif c == '-': fixed.append(' ' + c) elif c == '/': fixed.append(' ' + c) s = ''.join(fixed).strip() return ' '.join(s.split()) #----------------------------------------------------------------- # Functions for parsing the database. They are moved outside the # Spacegroup class in order to make it easier to later implement # caching to avoid reading the database each time a new Spacegroup # instance is created. #----------------------------------------------------------------- def _skip_to_blank(f, spacegroup, setting): """Read lines from f until a blank line is encountered.""" while True: line = f.readline() if not line: raise SpacegroupNotFoundError( 'invalid spacegroup %s, setting %i not found in data base' % ( spacegroup, setting ) ) if not line.strip(): break def _skip_to_nonblank(f, spacegroup, setting): """Read lines from f until a nonblank line not starting with a hash (#) is encountered and returns this and the next line.""" while True: line1 = f.readline() if not line1: raise SpacegroupNotFoundError( 'invalid spacegroup %s, setting %i not found in data base' % ( spacegroup, setting ) ) line1.strip() if line1 and not line1.startswith('#'): line2 = f.readline() break return line1, line2 def _read_datafile_entry(spg, no, symbol, setting, f): """Read space group data from f to spg.""" spg._no = no spg._symbol = symbol.strip() spg._setting = setting spg._centrosymmetric = bool(int(f.readline().split()[1])) # primitive vectors f.readline() spg._scaled_primitive_cell = np.array([map(float, f.readline().split()) for i in range(3)], dtype=np.float) # primitive reciprocal vectors f.readline() spg._reciprocal_cell = np.array([map(int, f.readline().split()) for i in range(3)], dtype=np.int) # subtranslations spg._nsubtrans = int(f.readline().split()[0]) spg._subtrans = np.array([map(float, f.readline().split()) for i in range(spg._nsubtrans)], dtype=np.float) # symmetry operations nsym = int(f.readline().split()[0]) symop = np.array([map(float, f.readline().split()) for i in range(nsym)], dtype=np.float) spg._nsymop = nsym spg._rotations = np.array(symop[:,:9].reshape((nsym,3,3)), dtype=np.int) spg._translations = symop[:,9:] def _read_datafile(spg, spacegroup, setting, f): if isinstance(spacegroup, int): pass elif isinstance(spacegroup, basestring): #spacegroup = ' '.join(spacegroup.strip().split()) spacegroup = format_symbol(spacegroup) else: raise SpacegroupValueError('`spacegroup` must be of type int or str') while True: line1, line2 = _skip_to_nonblank(f, spacegroup, setting) _no,_symbol = line1.strip().split(None, 1) _symbol = format_symbol(_symbol) _setting = int(line2.strip().split()[1]) _no = int(_no) if ((isinstance(spacegroup, int) and _no == spacegroup) or (isinstance(spacegroup, basestring) and _symbol == spacegroup)) and _setting == setting: _read_datafile_entry(spg, _no, _symbol, _setting, f) break else: _skip_to_blank(f, spacegroup, setting) def parse_sitesym(symlist, sep=','): """Parses a sequence of site symmetries in the form used by International Tables and returns corresponding rotation and translation arrays. Example: >>> symlist = [ ... 'x,y,z', ... '-y+1/2,x+1/2,z', ... '-y,-x,-z', ... ] >>> rot, trans = parse_sitesym(symlist) >>> rot array([[[ 1, 0, 0], [ 0, 1, 0], [ 0, 0, 1]], [[ 0, -1, 0], [ 1, 0, 0], [ 0, 0, 1]], [[ 0, -1, 0], [-1, 0, 0], [ 0, 0, -1]]]) >>> trans array([[ 0. , 0. , 0. ], [ 0.5, 0.5, 0. ], [ 0. , 0. , 0. ]]) """ nsym = len(symlist) rot = np.zeros((nsym, 3, 3), dtype='int') trans = np.zeros((nsym, 3)) for i, sym in enumerate(symlist): for j, s in enumerate (sym.split(sep)): s = s.lower().strip() while s: sign = 1 if s[0] in '+-': if s[0] == '-': sign = -1 s = s[1:] if s[0] in 'xyz': k = ord(s[0]) - ord('x') rot[i, j, k] = sign s = s[1:] elif s[0].isdigit() or s[0] == '.': n = 0 while n < len(s) and (s[n].isdigit() or s[n] in '/.'): n += 1 t = s[:n] s = s[n:] if '/' in t: q, r = t.split('/') trans[i,j] = float(q)/float(r) else: trans[i,j] = float(t) else: raise SpacegroupValueError( 'Error parsing %r. Invalid site symmetry: %s' % (s, sym)) return rot, trans def spacegroup_from_data(no=None, symbol=None, setting=1, centrosymmetric=None, scaled_primitive_cell=None, reciprocal_cell=None, subtrans=None, sitesym=None, rotations=None, translations=None, datafile=None): """Manually create a new space group instance. This might be usefull when reading crystal data with its own spacegroup definitions.""" if no is not None: spg = Spacegroup(no, setting, datafile) elif symbol is not None: spg = Spacegroup(symbol, setting, datafile) else: raise SpacegroupValueError('either *no* or *symbol* must be given') have_sym = False if centrosymmetric is not None: spg._centrosymmetric = bool(centrosymmetric) if scaled_primitive_cell is not None: spg._scaled_primitive_cell = np.array(scaled_primitive_cell) if reciprocal_cell is not None: spg._reciprocal_cell = np.array(reciprocal_cell) if subtrans is not None: spg._subtrans = np.atleast_2d(subtrans) spg._nsubtrans = spg._subtrans.shape[0] if sitesym is not None: spg._rotations, spg._translations = parse_sitesym(sitesym) have_sym = True if rotations is not None: spg._rotations = np.atleast_3d(rotations) have_sym = True if translations is not None: spg._translations = np.atleast_2d(translations) have_sym = True if have_sym: if spg._rotations.shape[0] != spg._translations.shape[0]: raise SpacegroupValueError('inconsistent number of rotations and ' 'translations') spg._nsymop = spg._rotations.shape[0] return spg #----------------------------------------------------------------- # Self test if __name__ == '__main__': # Import spacegroup in order to ensure that __file__ is defined # such that the data base can be found. import spacegroup import doctest print 'doctest: ', doctest.testmod() python-ase-3.6.0.2515/ase/lattice/spacegroup/cell.py0000644000175400017540000000656111454152657021060 0ustar askhlaskhl# Copyright (C) 2010, Jesper Friis # (see accompanying license files for details). import numpy as np from numpy import pi, sin, cos, tan, arcsin, arccos, arctan, sqrt from numpy import dot from numpy.linalg import norm import ase __all__ = ['cell_to_cellpar', 'cellpar_to_cell', 'metric_from_cell'] def unit_vector(x): """Return a unit vector in the same direction as x.""" y = np.array(x, dtype='float') return y/norm(y) def angle(x, y): """Return the angle between vectors a and b in degrees.""" return arccos(dot(x, y)/(norm(x)*norm(y)))*180./pi def cell_to_cellpar(cell): """Returns the cell parameters [a, b, c, alpha, beta, gamma] as a numpy array.""" va, vb, vc = cell a = np.linalg.norm(va) b = np.linalg.norm(vb) c = np.linalg.norm(vc) alpha = 180.0/pi*arccos(dot(vb, vc)/(b*c)) beta = 180.0/pi*arccos(dot(vc, va)/(c*a)) gamma = 180.0/pi*arccos(dot(va, vb)/(a*b)) return np.array([a, b, c, alpha, beta, gamma]) def cellpar_to_cell(cellpar, ab_normal=(0,0,1), a_direction=None): """Return a 3x3 cell matrix from `cellpar` = [a, b, c, alpha, beta, gamma]. The returned cell is orientated such that a and b are normal to `ab_normal` and a is parallel to the projection of `a_direction` in the a-b plane. Default `a_direction` is (1,0,0), unless this is parallel to `ab_normal`, in which case default `a_direction` is (0,0,1). The returned cell has the vectors va, vb and vc along the rows. The cell will be oriented such that va and vb are normal to `ab_normal` and va will be along the projection of `a_direction` onto the a-b plane. Example: >>> cell = cellpar_to_cell([1, 2, 4, 10, 20, 30], (0,1,1), (1,2,3)) >>> np.round(cell, 3) array([[ 0.816, -0.408, 0.408], [ 1.992, -0.13 , 0.13 ], [ 3.859, -0.745, 0.745]]) """ if a_direction is None: if np.linalg.norm(np.cross(ab_normal, (1,0,0))) < 1e-5: a_direction = (0,0,1) else: a_direction = (1,0,0) # Define rotated X,Y,Z-system, with Z along ab_normal and X along # the projection of a_direction onto the normal plane of Z. ad = np.array(a_direction) Z = unit_vector(ab_normal) X = unit_vector(ad - dot(ad, Z)*Z) Y = np.cross(Z, X) # Express va, vb and vc in the X,Y,Z-system alpha, beta, gamma = 90., 90., 90. if isinstance(cellpar, (int, long, float)): a = b = c = cellpar elif len(cellpar) == 1: a = b = c = cellpar[0] elif len(cellpar) == 3: a, b, c = cellpar alpha, beta, gamma = 90., 90., 90. else: a, b, c, alpha, beta, gamma = cellpar alpha *= pi/180.0 beta *= pi/180.0 gamma *= pi/180.0 va = a * np.array([1, 0, 0]) vb = b * np.array([cos(gamma), sin(gamma), 0]) cx = cos(beta) cy = (cos(alpha) - cos(beta)*cos(gamma))/sin(gamma) cz = sqrt(1. - cx*cx - cy*cy) vc = c * np.array([cx, cy, cz]) # Convert to the Cartesian x,y,z-system abc = np.vstack((va, vb, vc)) T = np.vstack((X, Y, Z)) cell = dot(abc, T) return cell def metric_from_cell(cell): """Calculates the metric matrix from cell, which is given in the Cartesian system.""" cell = np.asarray(cell, dtype=float) return np.dot(cell, cell.T) if __name__ == '__main__': import doctest print 'doctest: ', doctest.testmod() python-ase-3.6.0.2515/ase/lattice/spacegroup/crystal.py0000644000175400017540000001364211636312743021614 0ustar askhlaskhl# Copyright (C) 2010, Jesper Friis # (see accompanying license files for details). """ A module for ASE for simple creation of crystalline structures from knowledge of the space group. """ import numpy as np import ase from ase.atoms import string2symbols from spacegroup import Spacegroup from cell import cellpar_to_cell __all__ = ['crystal'] def crystal(symbols=None, basis=None, spacegroup=1, setting=1, cell=None, cellpar=None, ab_normal=(0,0,1), a_direction=None, size=(1,1,1), ondublicates='warn', symprec=0.001, pbc=True, primitive_cell=False, **kwargs): """Create an Atoms instance for a conventional unit cell of a space group. Parameters: symbols : str | sequence of str | sequence of Atom | Atoms Element symbols of the unique sites. Can either be a string formula or a sequence of element symbols. E.g. ('Na', 'Cl') and 'NaCl' are equivalent. Can also be given as a sequence of Atom objects or an Atoms object. basis : list of scaled coordinates Positions of the unique sites corresponding to symbols given either as scaled positions or through an atoms instance. Not needed if *symbols* is a sequence of Atom objects or an Atoms object. spacegroup : int | string | Spacegroup instance Space group given either as its number in International Tables or as its Hermann-Mauguin symbol. setting : 1 | 2 Space group setting. cell : 3x3 matrix Unit cell vectors. cellpar : [a, b, c, alpha, beta, gamma] Cell parameters with angles in degree. Is not used when `cell` is given. ab_normal : vector Is used to define the orientation of the unit cell relative to the Cartesian system when `cell` is not given. It is the normal vector of the plane spanned by a and b. a_direction : vector Defines the orientation of the unit cell a vector. a will be parallel to the projection of `a_direction` onto the a-b plane. size : 3 positive integers How many times the conventional unit cell should be repeated in each direction. ondublicates : 'keep' | 'replace' | 'warn' | 'error' Action if `basis` contain symmetry-equivalent positions: 'keep' - ignore additional symmetry-equivalent positions 'replace' - replace 'warn' - like 'keep', but issue an UserWarning 'error' - raises a SpacegroupValueError symprec : float Minimum "distance" betweed two sites in scaled coordinates before they are counted as the same site. pbc : one or three bools Periodic boundary conditions flags. Examples: True, False, 0, 1, (1, 1, 0), (True, False, False). Default is True. primitive_cell : bool Wheter to return the primitive instead of the conventional unit cell. Keyword arguments: All additional keyword arguments are passed on to the Atoms constructor. Currently, probably the most useful additional keyword arguments are `info`, `constraint` and `calculator`. Examples: Two diamond unit cells (space group number 227) >>> diamond = crystal('C', [(0,0,0)], spacegroup=227, ... cellpar=[3.57, 3.57, 3.57, 90, 90, 90], size=(2,1,1)) >>> ase.view(diamond) # doctest: +SKIP A CoSb3 skutterudite unit cell containing 32 atoms >>> skutterudite = crystal(('Co', 'Sb'), ... basis=[(0.25,0.25,0.25), (0.0, 0.335, 0.158)], ... spacegroup=204, cellpar=[9.04, 9.04, 9.04, 90, 90, 90]) >>> len(skutterudite) 32 """ sg = Spacegroup(spacegroup, setting) if (not isinstance(symbols, str) and hasattr(symbols, '__getitem__') and len(symbols) > 0 and isinstance(symbols[0], ase.Atom)): symbols = ase.Atoms(symbols) if isinstance(symbols, ase.Atoms): basis = symbols symbols = basis.get_chemical_symbols() if isinstance(basis, ase.Atoms): basis_coords = basis.get_scaled_positions() if cell is None and cellpar is None: cell = basis.cell if symbols is None: symbols = basis.get_chemical_symbols() else: basis_coords = np.array(basis, dtype=float, copy=False, ndmin=2) sites, kinds = sg.equivalent_sites(basis_coords, ondublicates=ondublicates, symprec=symprec) symbols = parse_symbols(symbols) symbols = [symbols[i] for i in kinds] if cell is None: cell = cellpar_to_cell(cellpar, ab_normal, a_direction) info = dict(spacegroup=sg) if primitive_cell: info['unit_cell'] = 'primitive' else: info['unit_cell'] = 'conventional' if 'info' in kwargs: info.update(kwargs['info']) kwargs['info'] = info atoms = ase.Atoms(symbols, scaled_positions=sites, cell=cell, pbc=pbc, **kwargs) if isinstance(basis, ase.Atoms): for name in basis.arrays: if not atoms.has(name): array = basis.get_array(name) atoms.new_array(name, [array[i] for i in kinds], dtype=array.dtype, shape=array.shape[1:]) if primitive_cell: from ase.utils.geometry import cut prim_cell = sg.scaled_primitive_cell atoms = cut(atoms, a=prim_cell[0], b=prim_cell[1], c=prim_cell[2]) if size != (1, 1, 1): atoms = atoms.repeat(size) return atoms def parse_symbols(symbols): """Return `sumbols` as a sequence of element symbols.""" if isinstance(symbols, basestring): symbols = string2symbols(symbols) return symbols #----------------------------------------------------------------- # Self test if __name__ == '__main__': import doctest print 'doctest: ', doctest.testmod() python-ase-3.6.0.2515/ase/vibrations.py0000644000175400017540000003003111602445437016505 0ustar askhlaskhl# -*- coding: utf-8 -*- """Vibrational modes.""" import pickle from math import sin, pi, sqrt from os import remove from os.path import isfile import sys import numpy as np import ase.units as units from ase.io.trajectory import PickleTrajectory from ase.parallel import rank, paropen from ase.utils import opencew class Vibrations: """Class for calculating vibrational modes using finite difference. The vibrational modes are calculated from a finite difference approximation of the Hessian matrix. The *summary()*, *get_energies()* and *get_frequencies()* methods all take an optional *method* keyword. Use method='Frederiksen' to use the method described in: T. Frederiksen, M. Paulsson, M. Brandbyge, A. P. Jauho: "Inelastic transport theory from first-principles: methodology and applications for nanoscale devices", Phys. Rev. B 75, 205413 (2007) atoms: Atoms object The atoms to work on. indices: list of int List of indices of atoms to vibrate. Default behavior is to vibrate all atoms. name: str Name to use for files. delta: float Magnitude of displacements. nfree: int Number of displacements per atom and cartesian coordinate, 2 and 4 are supported. Default is 2 which will displace each atom +delta and -delta for each cartesian coordinate. Example: >>> from ase import Atoms >>> from ase.calculators import EMT >>> from ase.optimize import BFGS >>> from ase.vibrations import Vibrations >>> n2 = Atoms('N2', [(0, 0, 0), (0, 0, 1.1)], ... calculator=EMT()) >>> BFGS(n2).run(fmax=0.01) BFGS: 0 16:01:21 0.440339 3.2518 BFGS: 1 16:01:21 0.271928 0.8211 BFGS: 2 16:01:21 0.263278 0.1994 BFGS: 3 16:01:21 0.262777 0.0088 >>> vib = Vibrations(n2) >>> vib.run() Writing vib.eq.pckl Writing vib.0x-.pckl Writing vib.0x+.pckl Writing vib.0y-.pckl Writing vib.0y+.pckl Writing vib.0z-.pckl Writing vib.0z+.pckl Writing vib.1x-.pckl Writing vib.1x+.pckl Writing vib.1y-.pckl Writing vib.1y+.pckl Writing vib.1z-.pckl Writing vib.1z+.pckl >>> vib.summary() --------------------- # meV cm^-1 --------------------- 0 0.0 0.0 1 0.0 0.0 2 0.0 0.0 3 2.5 20.4 4 2.5 20.4 5 152.6 1230.8 --------------------- Zero-point energy: 0.079 eV >>> vib.write_mode(-1) # write last mode to trajectory file """ def __init__(self, atoms, indices=None, name='vib', delta=0.01, nfree=2): assert nfree in [2, 4] self.atoms = atoms if indices is None: indices = range(len(atoms)) self.indices = np.asarray(indices) self.name = name self.delta = delta self.nfree = nfree self.H = None self.ir = None def run(self): """Run the vibration calculations. This will calculate the forces for 6 displacements per atom +/-x, +/-y, +/-z. Only those calculations that are not already done will be started. Be aware that an interrupted calculation may produce an empty file (ending with .pckl), which must be deleted before restarting the job. Otherwise the forces will not be calculated for that displacement. Note that the calculations for the different displacements can be done simultaneously by several independent processes. This feature relies on the existence of files and the subsequent creation of the file in case it is not found. """ filename = self.name + '.eq.pckl' fd = opencew(filename) if fd is not None: self.calculate(filename, fd) p = self.atoms.positions.copy() for a in self.indices: for i in range(3): for sign in [-1, 1]: for ndis in range(1, self.nfree // 2 + 1): filename = ('%s.%d%s%s.pckl' % (self.name, a, 'xyz'[i], ndis * ' +-'[sign])) fd = opencew(filename) if fd is not None: disp = ndis * sign * self.delta self.atoms.positions[a, i] = p[a, i] + disp self.calculate(filename, fd) self.atoms.positions[a, i] = p[a, i] def calculate(self, filename, fd): forces = self.atoms.get_forces() if self.ir: dipole = self.calc.get_dipole_moment(self.atoms) if rank == 0: if self.ir: pickle.dump([forces, dipole], fd) sys.stdout.write( 'Writing %s, dipole moment = (%.6f %.6f %.6f)\n' % (filename, dipole[0], dipole[1], dipole[2])) else: pickle.dump(forces, fd) sys.stdout.write('Writing %s\n' % filename) fd.close() sys.stdout.flush() def clean(self): if isfile(self.name + '.eq.pckl'): remove(self.name + '.eq.pckl') for a in self.indices: for i in 'xyz': for sign in '-+': for ndis in range(1, self.nfree // 2 + 1): name = '%s.%d%s%s.pckl' % (self.name, a, i, ndis * sign) if isfile(name): remove(name) def read(self, method='standard', direction='central'): self.method = method.lower() self.direction = direction.lower() assert self.method in ['standard', 'frederiksen'] assert self.direction in ['central', 'forward', 'backward'] n = 3 * len(self.indices) H = np.empty((n, n)) r = 0 if direction != 'central': feq = pickle.load(open(self.name + '.eq.pckl')) for a in self.indices: for i in 'xyz': name = '%s.%d%s' % (self.name, a, i) fminus = pickle.load(open(name + '-.pckl')) fplus = pickle.load(open(name + '+.pckl')) if self.method == 'frederiksen': fminus[a] -= fminus.sum(0) fplus[a] -= fplus.sum(0) if self.nfree == 4: fminusminus = pickle.load(open(name + '--.pckl')) fplusplus = pickle.load(open(name + '++.pckl')) if self.method == 'frederiksen': fminusminus[a] -= fminusminus.sum(0) fplusplus[a] -= fplusplus.sum(0) if self.direction == 'central': if self.nfree == 2: H[r] = .5 * (fminus - fplus)[self.indices].ravel() else: H[r] = H[r] = (-fminusminus + 8 * fminus - 8 * fplus + fplusplus)[self.indices].ravel() / 12.0 elif self.direction == 'forward': H[r] = (feq - fplus)[self.indices].ravel() else: assert self.direction == 'backward' H[r] = (fminus - feq)[self.indices].ravel() H[r] /= 2 * self.delta r += 1 H += H.copy().T self.H = H m = self.atoms.get_masses() if 0 in [m[index] for index in self.indices]: raise RuntimeError('Zero mass encountered in one or more of ' 'the vibrated atoms. Use Atoms.set_masses()' ' to set all masses to non-zero values.') self.im = np.repeat(m[self.indices] ** -0.5, 3) omega2, modes = np.linalg.eigh(self.im[:, None] * H * self.im) self.modes = modes.T.copy() # Conversion factor: s = units._hbar * 1e10 / sqrt(units._e * units._amu) self.hnu = s * omega2.astype(complex) ** 0.5 def get_energies(self, method='standard', direction='central'): """Get vibration energies in eV.""" if (self.H is None or method.lower() != self.method or direction.lower() != self.direction): self.read(method, direction) return self.hnu def get_frequencies(self, method='standard', direction='central'): """Get vibration frequencies in cm^-1.""" s = 0.01 * units._e / units._c / units._hplanck return s * self.get_energies(method, direction) def summary(self, method='standard', direction='central', freq=None, log=sys.stdout): """Print a summary of the vibrational frequencies. Parameters: method : string Can be 'standard'(default) or 'Frederiksen'. direction: string Direction for finite differences. Can be one of 'central' (default), 'forward', 'backward'. freq : numpy array Optional. Can be used to create a summary on a set of known frequencies. log : if specified, write output to a different location than stdout. Can be an object with a write() method or the name of a file to create. """ if isinstance(log, str): log = paropen(log, 'a') write = log.write s = 0.01 * units._e / units._c / units._hplanck if freq != None: hnu = freq / s else: hnu = self.get_energies(method, direction) write('---------------------\n') write(' # meV cm^-1\n') write('---------------------\n') for n, e in enumerate(hnu): if e.imag != 0: c = 'i' e = e.imag else: c = ' ' e = e.real write('%3d %6.1f%s %7.1f%s\n' % (n, 1000 * e, c, s * e, c)) write('---------------------\n') write('Zero-point energy: %.3f eV\n' % self.get_zero_point_energy(freq=freq)) def get_zero_point_energy(self, freq=None): if freq is None: return 0.5 * self.hnu.real.sum() else: s = 0.01 * units._e / units._c / units._hplanck return 0.5 * freq.real.sum() / s def get_mode(self, n): mode = np.zeros((len(self.atoms), 3)) mode[self.indices] = (self.modes[n] * self.im).reshape((-1, 3)) return mode def write_mode(self, n, kT=units.kB * 300, nimages=30): """Write mode to trajectory file.""" mode = self.get_mode(n) * sqrt(kT / abs(self.hnu[n])) p = self.atoms.positions.copy() n %= 3 * len(self.indices) traj = PickleTrajectory('%s.%d.traj' % (self.name, n), 'w') calc = self.atoms.get_calculator() self.atoms.set_calculator() for x in np.linspace(0, 2 * pi, nimages, endpoint=False): self.atoms.set_positions(p + sin(x) * mode) traj.write(self.atoms) self.atoms.set_positions(p) self.atoms.set_calculator(calc) traj.close() def write_jmol(self): """Writes file for viewing of the modes with jmol.""" fd = open(self.name + '.xyz', 'w') symbols = self.atoms.get_chemical_symbols() f = self.get_frequencies() for n in range(3 * len(self.indices)): fd.write('%6d\n' % len(self.atoms)) if f[n].imag != 0: c = 'i' f[n] = f[n].imag else: c = ' ' fd.write('Mode #%d, f = %.1f%s cm^-1' % (n, f[n], c)) if self.ir: fd.write(', I = %.4f (D/Ã…)^2 amu^-1.\n' % self.intensities[n]) else: fd.write('.\n') mode = self.get_mode(n) for i, pos in enumerate(self.atoms.positions): fd.write('%2s %12.5f %12.5f %12.5f %12.5f %12.5f %12.5f \n' % (symbols[i], pos[0], pos[1], pos[2], mode[i, 0], mode[i, 1], mode[i, 2])) fd.close() python-ase-3.6.0.2515/ase/phonons.py0000644000175400017540000006601711670114554016024 0ustar askhlaskhl"""Module for calculating phonons of periodic systems.""" import sys import pickle from math import sin, pi, sqrt from os import remove from os.path import isfile import numpy as np import numpy.linalg as la import numpy.fft as fft has_spglib = False try: from pyspglib import spglib has_spglib = True except ImportError: pass import ase.units as units from ase.parallel import rank, barrier from ase.dft import monkhorst_pack from ase.io.trajectory import PickleTrajectory class Displacement: """Abstract base class for phonon and el-ph supercell calculations. Both phonons and the electron-phonon interaction in periodic systems can be calculated with the so-called finite-displacement method where the derivatives of the total energy and effective potential are obtained from finite-difference approximations, i.e. by displacing the atoms. This class provides the required functionality for carrying out the calculations for the different displacements in its ``run`` member function. Derived classes must overwrite the ``__call__`` member function which is called for each atomic displacement. """ def __init__(self, atoms, calc=None, supercell=(1, 1, 1), name=None, delta=0.01, refcell=None): """Init with an instance of class ``Atoms`` and a calculator. Parameters ---------- atoms: Atoms object The atoms to work on. calc: Calculator Calculator for the supercell calculation. supercell: tuple Size of supercell given by the number of repetitions (l, m, n) of the small unit cell in each direction. name: str Base name to use for files. delta: float Magnitude of displacement in Ang. refcell: str Reference cell in which the atoms will be displaced. If ``None``, corner cell in supercell is used. If ``str``, cell in the center of the supercell is used. """ # Store atoms and calculator self.atoms = atoms self.calc = calc # Displace all atoms in the unit cell by default self.indices = range(len(atoms)) self.name = name self.delta = delta self.N_c = supercell # Reference cell offset if refcell is None: # Corner cell self.offset = 0 else: # Center cell N_c = self.N_c self.offset = N_c[0] // 2 * (N_c[1] * N_c[2]) + N_c[1] // \ 2 * N_c[2] + N_c[2] // 2 def __call__(self, *args, **kwargs): """Member function called in the ``run`` function.""" raise NotImplementedError("Implement in derived classes!.") def set_atoms(self, atoms): """Set the atoms to vibrate. Parameters ---------- atoms: list Can be either a list of strings, ints or ... """ assert isinstance(atoms, list) assert len(atoms) <= len(self.atoms) if isinstance(atoms[0], str): assert np.all([isinstance(atom, str) for atom in atoms]) sym_a = self.atoms.get_chemical_symbols() # List for atomic indices indices = [] for type in atoms: indices.extend([a for a, atom in enumerate(sym_a) if atom == type]) else: assert np.all([isinstance(atom, int) for atom in atoms]) indices = atoms self.indices = indices def lattice_vectors(self): """Return lattice vectors for cells in the supercell.""" # Lattice vectors relevative to the reference cell R_cN = np.indices(self.N_c).reshape(3, -1) N_c = np.array(self.N_c)[:, np.newaxis] if self.offset == 0: R_cN += N_c // 2 R_cN %= N_c R_cN -= N_c // 2 return R_cN def run(self): """Run the calculations for the required displacements. This will do a calculation for 6 displacements per atom, +-x, +-y, and +-z. Only those calculations that are not already done will be started. Be aware that an interrupted calculation may produce an empty file (ending with .pckl), which must be deleted before restarting the job. Otherwise the calculation for that displacement will not be done. """ # Atoms in the supercell -- repeated in the lattice vector directions # beginning with the last atoms_N = self.atoms * self.N_c # Set calculator if provided assert self.calc is not None, "Provide calculator in __init__ method" atoms_N.set_calculator(self.calc) # Do calculation on equilibrium structure filename = self.name + '.eq.pckl' if not isfile(filename): # Wait for all ranks to enter barrier() # Create file if rank == 0: fd = open(filename, 'w') fd.close() # Call derived class implementation of __call__ output = self.__call__(atoms_N) # Write output to file if rank == 0: fd = open(filename, 'w') pickle.dump(output, fd) sys.stdout.write('Writing %s\n' % filename) fd.close() sys.stdout.flush() # Positions of atoms to be displaced in the reference cell natoms = len(self.atoms) offset = natoms * self.offset pos = atoms_N.positions[offset: offset + natoms].copy() # Loop over all displacements for a in self.indices: for i in range(3): for sign in [-1, 1]: # Filename for atomic displacement filename = '%s.%d%s%s.pckl' % \ (self.name, a, 'xyz'[i], ' +-'[sign]) # Wait for ranks before checking for file # barrier() if isfile(filename): # Skip if already done continue # Wait for ranks barrier() if rank == 0: fd = open(filename, 'w') fd.close() # Update atomic positions atoms_N.positions[offset + a, i] = \ pos[a, i] + sign * self.delta # Call derived class implementation of __call__ output = self.__call__(atoms_N) # Write output to file if rank == 0: fd = open(filename, 'w') pickle.dump(output, fd) sys.stdout.write('Writing %s\n' % filename) fd.close() sys.stdout.flush() # Return to initial positions atoms_N.positions[offset + a, i] = pos[a, i] def clean(self): """Delete generated pickle files.""" if isfile(self.name + '.eq.pckl'): remove(self.name + '.eq.pckl') for a in self.indices: for i in 'xyz': for sign in '-+': name = '%s.%d%s%s.pckl' % (self.name, a, i, sign) if isfile(name): remove(name) class Phonons(Displacement): """Class for calculating phonon modes using the finite displacement method. The matrix of force constants is calculated from the finite difference approximation to the first-order derivative of the atomic forces as:: 2 nbj nbj nbj d E F- - F+ C = ------------ ~ ------------- , mai dR dR 2 * delta mai nbj where F+/F- denotes the force in direction j on atom nb when atom ma is displaced in direction +i/-i. The force constants are related by various symmetry relations. From the definition of the force constants it must be symmetric in the three indices mai:: nbj mai bj ai C = C -> C (R ) = C (-R ) . mai nbj ai n bj n As the force constants can only depend on the difference between the m and n indices, this symmetry is more conveniently expressed as shown on the right hand-side. The acoustic sum-rule:: _ _ aj \ bj C (R ) = - ) C (R ) ai 0 /__ ai m (m, b) != (0, a) Ordering of the unit cells illustrated here for a 1-dimensional system (in case ``refcell=None`` in constructor!): :: m = 0 m = 1 m = -2 m = -1 ----------------------------------------------------- | | | | | | * b | * | * | * | | | | | | | * a | * | * | * | | | | | | ----------------------------------------------------- Example: >>> from ase.structure import bulk >>> from ase.phonons import Phonons >>> from gpaw import GPAW, FermiDirac >>> atoms = bulk('Si', 'diamond', a=5.4) >>> calc = GPAW(kpts=(5, 5, 5), h=0.2, occupations=FermiDirac(0.)) >>> ph = Phonons(atoms, calc, supercell=(5, 5, 5)) >>> ph.run() >>> ph.read(method='frederiksen', acoustic=True) """ def __init__(self, *args, **kwargs): """Initialize with base class args and kwargs.""" if 'name' not in kwargs.keys(): kwargs['name'] = "phonon" Displacement.__init__(self, *args, **kwargs) # Attributes for force constants and dynamical matrix in real space self.C_N = None # in units of eV / Ang**2 self.D_N = None # in units of eV / Ang**2 / amu # Attributes for born charges and static dielectric tensor self.Z_avv = None self.eps_vv = None def __call__(self, atoms_N): """Calculate forces on atoms in supercell.""" # Calculate forces forces = atoms_N.get_forces() return forces def check_eq_forces(self): """Check maximum size of forces in the equilibrium structure.""" fname = '%s.eq.pckl' % self.name feq_av = pickle.load(open(fname)) fmin = feq_av.max() fmax = feq_av.min() i_min = np.where(feq_av == fmin) i_max = np.where(feq_av == fmax) return fmin, fmax, i_min, i_max def read_born_charges(self, name=None, neutrality=True): """Read Born charges and dieletric tensor from pickle file. The charge neutrality sum-rule:: _ _ \ a ) Z = 0 /__ ij a Parameters ---------- neutrality: bool Restore charge neutrality condition on calculated Born effective charges. """ # Load file with Born charges and dielectric tensor for atoms in the # unit cell if name is None: filename = '%s.born.pckl' % self.name else: filename = name fd = open(filename) Z_avv, eps_vv = pickle.load(fd) fd.close() # Neutrality sum-rule if neutrality: Z_mean = Z_avv.sum(0) / len(Z_avv) Z_avv -= Z_mean self.Z_avv = Z_avv[self.indices] self.eps_vv = eps_vv def read(self, method='Frederiksen', symmetrize=3, acoustic=True, cutoff=None, born=False, **kwargs): """Read forces from pickle files and calculate force constants. Extra keyword arguments will be passed to ``read_born_charges``. Parameters ---------- method: str Specify method for evaluating the atomic forces. symmetrize: int Symmetrize force constants (see doc string at top) when ``symmetrize != 0`` (default: 3). Since restoring the acoustic sum rule breaks the symmetry, the symmetrization must be repeated a few times until the changes a insignificant. The integer gives the number of iterations that will be carried out. acoustic: bool Restore the acoustic sum rule on the force constants. cutoff: None or float Zero elements in the dynamical matrix between atoms with an interatomic distance larger than the cutoff. born: bool Read in Born effective charge tensor and high-frequency static dielelctric tensor from file. """ method = method.lower() assert method in ['standard', 'frederiksen'] if cutoff is not None: cutoff = float(cutoff) # Read Born effective charges and optical dielectric tensor if born: self.read_born_charges(**kwargs) # Number of atoms natoms = len(self.indices) # Number of unit cells N = np.prod(self.N_c) # Matrix of force constants as a function of unit cell index in units # of eV / Ang**2 C_xNav = np.empty((natoms * 3, N, natoms, 3), dtype=float) # Loop over all atomic displacements and calculate force constants for i, a in enumerate(self.indices): for j, v in enumerate('xyz'): # Atomic forces for a displacement of atom a in direction v basename = '%s.%d%s' % (self.name, a, v) fminus_av = pickle.load(open(basename + '-.pckl')) fplus_av = pickle.load(open(basename + '+.pckl')) if method == 'frederiksen': fminus_av[a] -= fminus_av.sum(0) fplus_av[a] -= fplus_av.sum(0) # Finite difference derivative C_av = fminus_av - fplus_av C_av /= 2 * self.delta # Slice out included atoms C_Nav = C_av.reshape((N, len(self.atoms), 3))[:, self.indices] index = 3*i + j C_xNav[index] = C_Nav # Make unitcell index the first and reshape C_N = C_xNav.swapaxes(0 ,1). reshape((N,) + (3 * natoms, 3 * natoms)) # Cut off before symmetry and acoustic sum rule are imposed if cutoff is not None: self.apply_cutoff(C_N, cutoff) # Symmetrize force constants if symmetrize: for i in range(symmetrize): # Symmetrize C_N = self.symmetrize(C_N) # Restore acoustic sum-rule if acoustic: self.acoustic(C_N) else: break # Store force constants and dynamical matrix self.C_N = C_N self.D_N = C_N.copy() # Add mass prefactor m_a = self.atoms.get_masses() self.m_inv_x = np.repeat(m_a[self.indices]**-0.5, 3) M_inv = np.outer(self.m_inv_x, self.m_inv_x) for D in self.D_N: D *= M_inv def symmetrize(self, C_N): """Symmetrize force constant matrix.""" # Number of atoms natoms = len(self.indices) # Number of unit cells N = np.prod(self.N_c) # Reshape force constants to (l, m, n) cell indices C_lmn = C_N.reshape(self.N_c + (3 * natoms, 3 * natoms)) # Shift reference cell to center index if self.offset == 0: C_lmn = fft.fftshift(C_lmn, axes=(0, 1, 2)).copy() # Make force constants symmetric in indices -- in case of an even # number of unit cells don't include the first i, j, k = np.asarray(self.N_c) % 2 - 1 C_lmn[i:, j:, k:] *= 0.5 C_lmn[i:, j:, k:] += \ C_lmn[i:, j:, k:][::-1, ::-1, ::-1].transpose(0, 1, 2, 4, 3).copy() if self.offset == 0: C_lmn = fft.ifftshift(C_lmn, axes=(0, 1, 2)).copy() # Change to single unit cell index shape C_N = C_lmn.reshape((N, 3 * natoms, 3 * natoms)) return C_N def acoustic(self, C_N): """Restore acoustic sumrule on force constants.""" # Number of atoms natoms = len(self.indices) # Copy force constants C_N_temp = C_N.copy() # Correct atomic diagonals of R_m = (0, 0, 0) matrix for C in C_N_temp: for a in range(natoms): for a_ in range(natoms): C_N[self.offset, 3*a: 3*a + 3, 3*a: 3*a + 3] -= \ C[3*a: 3*a+3, 3*a_: 3*a_+3] def apply_cutoff(self, D_N, r_c): """Zero elements for interatomic distances larger than the cutoff. Parameters ---------- D_N: ndarray Dynamical/force constant matrix. r_c: float Cutoff in Angstrom. """ # Number of atoms and primitive cells natoms = len(self.indices) N = np.prod(self.N_c) # Lattice vectors R_cN = self.lattice_vectors() # Reshape matrix to individual atomic and cartesian dimensions D_Navav = D_N.reshape((N, natoms, 3, natoms, 3)) # Cell vectors cell_vc = self.atoms.cell.transpose() # Atomic positions in reference cell pos_av = self.atoms.get_positions() # Zero elements with a distance to atoms in the reference cell # larger than the cutoff for n in range(N): # Lattice vector to cell R_v = np.dot(cell_vc, R_cN[:, n]) # Atomic positions in cell posn_av = pos_av + R_v # Loop over atoms and zero elements for i, a in enumerate(self.indices): dist_a = np.sqrt(np.sum((pos_av[a] - posn_av)**2, axis=-1)) # Atoms where the distance is larger than the cufoff i_a = dist_a > r_c #np.where(dist_a > r_c) # Zero elements D_Navav[n, i, :, i_a, :] = 0.0 # print "" def get_force_constant(self): """Return matrix of force constants.""" assert self.C_N is not None return self.C_N def band_structure(self, path_kc, modes=False, born=False, verbose=True): """Calculate phonon dispersion along a path in the Brillouin zone. The dynamical matrix at arbitrary q-vectors is obtained by Fourier transforming the real-space force constants. In case of negative eigenvalues (squared frequency), the corresponding negative frequency is returned. Eigenvalues and modes are in units of eV and Ang/sqrt(amu), respectively. Parameters ---------- path_kc: ndarray List of k-point coordinates (in units of the reciprocal lattice vectors) specifying the path in the Brillouin zone for which the dynamical matrix will be calculated. modes: bool Returns both frequencies and modes when True. born: bool Include non-analytic part given by the Born effective charges and the static part of the high-frequency dielectric tensor. This contribution to the force constant accounts for the splitting between the LO and TO branches for q -> 0. verbose: bool Print warnings when imaginary frequncies are detected. """ assert self.D_N is not None if born: assert self.Z_avv is not None assert self.eps_vv is not None # Lattice vectors -- ordered as illustrated in class docstring R_cN = self.lattice_vectors() # Dynamical matrix in real-space D_N = self.D_N # Lists for frequencies and modes along path omega_kl = [] u_kl = [] # Reciprocal basis vectors for use in non-analytic contribution reci_vc = 2 * pi * la.inv(self.atoms.cell) # Unit cell volume in Bohr^3 vol = abs(la.det(self.atoms.cell)) / units.Bohr**3 for q_c in path_kc: # Add non-analytic part if born: # q-vector in cartesian coordinates q_v = np.dot(reci_vc, q_c) # Non-analytic contribution to force constants in atomic units qdotZ_av = np.dot(q_v, self.Z_avv).ravel() C_na = 4 * pi * np.outer(qdotZ_av, qdotZ_av) / \ np.dot(q_v, np.dot(self.eps_vv, q_v)) / vol self.C_na = C_na / units.Bohr**2 * units.Hartree # Add mass prefactor and convert to eV / (Ang^2 * amu) M_inv = np.outer(self.m_inv_x, self.m_inv_x) D_na = C_na * M_inv / units.Bohr**2 * units.Hartree self.D_na = D_na D_N = self.D_N + D_na / np.prod(self.N_c) ## if np.prod(self.N_c) == 1: ## ## q_av = np.tile(q_v, len(self.indices)) ## q_xx = np.vstack([q_av]*len(self.indices)*3) ## D_m += q_xx # Evaluate fourier sum phase_N = np.exp(-2.j * pi * np.dot(q_c, R_cN)) D_q = np.sum(phase_N[:, np.newaxis, np.newaxis] * D_N, axis=0) if modes: omega2_l, u_xl = la.eigh(D_q, UPLO='U') # Sort eigenmodes according to eigenvalues (see below) and # multiply with mass prefactor u_lx = (self.m_inv_x[:, np.newaxis] * u_xl[:, omega2_l.argsort()]).T.copy() u_kl.append(u_lx.reshape((-1, len(self.indices), 3))) else: omega2_l = la.eigvalsh(D_q, UPLO='U') # Sort eigenvalues in increasing order omega2_l.sort() # Use dtype=complex to handle negative eigenvalues omega_l = np.sqrt(omega2_l.astype(complex)) # Take care of imaginary frequencies if not np.all(omega2_l >= 0.): indices = np.where(omega2_l < 0)[0] if verbose: print ("WARNING, %i imaginary frequencies at " "q = (% 5.2f, % 5.2f, % 5.2f) ; (omega_q =% 5.3e*i)" % (len(indices), q_c[0], q_c[1], q_c[2], omega_l[indices][0].imag)) omega_l[indices] = -1 * np.sqrt(np.abs(omega2_l[indices].real)) omega_kl.append(omega_l.real) # Conversion factor: sqrt(eV / Ang^2 / amu) -> eV s = units._hbar * 1e10 / sqrt(units._e * units._amu) omega_kl = s * np.asarray(omega_kl) if modes: return omega_kl, np.asarray(u_kl) return omega_kl def dos(self, kpts=(10, 10, 10), npts=1000, delta=1e-3, indices=None): """Calculate phonon dos as a function of energy. Parameters ---------- qpts: tuple Shape of Monkhorst-Pack grid for sampling the Brillouin zone. npts: int Number of energy points. delta: float Broadening of Lorentzian line-shape in eV. indices: list If indices is not None, the atomic-partial dos for the specified atoms will be calculated. """ # Monkhorst-Pack grid kpts_kc = monkhorst_pack(kpts) N = np.prod(kpts) # Get frequencies omega_kl = self.band_structure(kpts_kc) # Energy axis and dos omega_e = np.linspace(0., np.amax(omega_kl) + 5e-3, num=npts) dos_e = np.zeros_like(omega_e) # Sum up contribution from all q-points and branches for omega_l in omega_kl: diff_el = (omega_e[:, np.newaxis] - omega_l[np.newaxis, :])**2 dos_el = 1. / (diff_el + (0.5 * delta)**2) dos_e += dos_el.sum(axis=1) dos_e *= 1./(N * pi) * 0.5*delta return omega_e, dos_e def write_modes(self, q_c, branches=0, kT=units.kB*300, born=False, repeat=(1, 1, 1), nimages=30, center=False): """Write modes to trajectory file. Parameters ---------- q_c: ndarray q-vector of modes. branches: int or list Branch index of modes. kT: float Temperature in units of eV. Determines the amplitude of the atomic displacements in the modes. born: bool Include non-analytic contribution to the force constants at q -> 0. repeat: tuple Repeat atoms (l, m, n) times in the directions of the lattice vectors. Displacements of atoms in repeated cells carry a Bloch phase factor given by the q-vector and the cell lattice vector R_m. nimages: int Number of images in an oscillation. center: bool Center atoms in unit cell if True (default: False). """ if isinstance(branches, int): branch_l = [branches] else: branch_l = list(branches) # Calculate modes omega_l, u_l = self.band_structure([q_c], modes=True, born=born) # Repeat atoms atoms = self.atoms * repeat # Center if center: atoms.center() # Here ``Na`` refers to a composite unit cell/atom dimension pos_Nav = atoms.get_positions() # Total number of unit cells N = np.prod(repeat) # Corresponding lattice vectors R_m R_cN = np.indices(repeat).reshape(3, -1) # Bloch phase phase_N = np.exp(2.j * pi * np.dot(q_c, R_cN)) phase_Na = phase_N.repeat(len(self.atoms)) for l in branch_l: omega = omega_l[0, l] u_av = u_l[0, l] # Mean displacement of a classical oscillator at temperature T u_av *= sqrt(kT) / abs(omega) mode_av = np.zeros((len(self.atoms), 3), dtype=complex) # Insert slice with atomic displacements for the included atoms mode_av[self.indices] = u_av # Repeat and multiply by Bloch phase factor mode_Nav = (np.vstack(N * [mode_av]) * phase_Na[:, np.newaxis]).real traj = PickleTrajectory('%s.mode.%d.traj' % (self.name, l), 'w') for x in np.linspace(0, 2*pi, nimages, endpoint=False): atoms.set_positions(pos_Nav + sin(x) * mode_Nav) traj.write(atoms) traj.close() python-ase-3.6.0.2515/ase/old.py0000644000175400017540000001507411207220276015106 0ustar askhlaskhlimport numpy as np try: import Numeric as num except ImportError: pass else: def npy2num(a, typecode=num.Float): return num.array(a, typecode) if num.__version__ <= '23.8': #def npy2num(a, typecode=num.Float): # return num.array(a.tolist(), typecode) def npy2num(a, typecode=num.Float): b = num.fromstring(a.tostring(), typecode) b.shape = a.shape return b from ase.data import chemical_symbols class OldASEListOfAtomsWrapper: def __init__(self, atoms): self.atoms = atoms self.constraints = [] def get_positions(self): return np.array(self.atoms.GetCartesianPositions()) def get_calculator(self): calc = self.atoms.GetCalculator() if calc is not None: return OldASECalculatorWrapper(calc) def get_potential_energy(self): return self.atoms.GetPotentialEnergy() def get_forces(self): return np.array(self.atoms.GetCartesianForces()) def get_stress(self): return np.array(self.atoms.GetStress()) def get_atomic_numbers(self): return np.array(self.atoms.GetAtomicNumbers()) def get_tags(self): return np.array(self.atoms.GetTags()) def get_momenta(self): return np.array(self.atoms.GetCartesianMomenta()) def get_masses(self): return np.array(self.atoms.GetMasses()) def get_initial_magnetic_moments(self): return np.array(self.atoms.GetMagneticMoments()) def get_magnetic_moments(self): return None def get_charges(self): return np.zeros(len(self)) def has(self, name): return True def get_cell(self): return np.array(self.atoms.GetUnitCell()) def get_pbc(self): return np.array(self.atoms.GetBoundaryConditions(), bool) def __len__(self): return len(self.atoms) def copy(self): from ase.atoms import Atoms return Atoms(positions=self.get_positions(), numbers=self.get_atomic_numbers(), tags=self.get_tags(), momenta=self.get_momenta(), masses=self.get_masses(), magmoms=self.get_initial_magnetic_moments(), charges=self.get_charges(), cell=self.get_cell(), pbc=self.get_pbc(), constraint=None, calculator=None) # Don't copy the calculator class OldASECalculatorWrapper: def __init__(self, calc, atoms=None): self.calc = calc if atoms is None: try: self.atoms = calc.GetListOfAtoms() except AttributeError: self.atoms = None else: from ASE import Atom, ListOfAtoms numbers = atoms.get_atomic_numbers() positions = atoms.get_positions() magmoms = atoms.get_initial_magnetic_moments() self.atoms = ListOfAtoms( [Atom(Z=numbers[a], position=positions[a], magmom=magmoms[a]) for a in range(len(atoms))], cell=npy2num(atoms.get_cell()), periodic=tuple(atoms.get_pbc())) self.atoms.SetCalculator(calc) def get_atoms(self): return OldASEListOfAtomsWrapper(self.atoms) def get_potential_energy(self, atoms): self.atoms.SetCartesianPositions(npy2num(atoms.get_positions())) self.atoms.SetUnitCell(npy2num(atoms.get_cell()), fix=True) return self.calc.GetPotentialEnergy() def get_forces(self, atoms): self.atoms.SetCartesianPositions(npy2num(atoms.get_positions())) self.atoms.SetUnitCell(npy2num(atoms.get_cell()), fix=True) return np.array(self.calc.GetCartesianForces()) def get_stress(self, atoms): self.atoms.SetCartesianPositions(npy2num(atoms.get_positions())) self.atoms.SetUnitCell(npy2num(atoms.get_cell()), fix=True) return np.array(self.calc.GetStress()) def get_number_of_bands(self): return self.calc.GetNumberOfBands() def get_kpoint_weights(self): return np.array(self.calc.GetIBZKPointWeights()) def get_number_of_spins(self): return 1 + int(self.calc.GetSpinPolarized()) def get_eigenvalues(self, kpt=0, spin=0): return np.array(self.calc.GetEigenvalues(kpt, spin)) def get_fermi_level(self): return self.calc.GetFermiLevel() def get_number_of_grid_points(self): return np.array(self.get_pseudo_wave_function(0, 0, 0).shape) def get_pseudo_wave_function(self, n=0, k=0, s=0, pad=True): kpt = self.get_bz_k_points()[k] state = self.calc.GetElectronicStates().GetState(band=n, spin=s, kptindex=k) # Get wf, without bolch phase (Phase = True doesn't do anything!) wave = state.GetWavefunctionOnGrid(phase=False) # Add bloch phase if this is not the Gamma point if np.all(kpt == 0): return wave coord = state.GetCoordinates() phase = coord[0] * kpt[0] + coord[1] * kpt[1] + coord[2] * kpt[2] return np.array(wave) * np.exp(-2.j * np.pi * phase) # sign! XXX #return np.array(self.calc.GetWaveFunctionArray(n, k, s)) # No phase! def get_bz_k_points(self): return np.array(self.calc.GetBZKPoints()) def get_ibz_k_points(self): return np.array(self.calc.GetIBZKPoints()) def get_wannier_localization_matrix(self, nbands, dirG, kpoint, nextkpoint, G_I, spin): return np.array(self.calc.GetWannierLocalizationMatrix( G_I=G_I.tolist(), nbands=nbands, dirG=dirG.tolist(), kpoint=kpoint, nextkpoint=nextkpoint, spin=spin)) def initial_wannier(self, initialwannier, kpointgrid, fixedstates, edf, spin): # Use initial guess to determine U and C init = self.calc.InitialWannier(initialwannier, self.atoms, npy2num(kpointgrid, num.Int)) states = self.calc.GetElectronicStates() waves = [[state.GetWaveFunction() for state in states.GetStatesKPoint(k, spin)] for k in self.calc.GetIBZKPoints()] init.SetupMMatrix(waves, self.calc.GetBZKPoints()) c, U = init.GetListOfCoefficientsAndRotationMatrices( (self.calc.GetNumberOfBands(), fixedstates, edf)) U = np.array(U) for k in range(len(c)): c[k] = np.array(c[k]) return c, U python-ase-3.6.0.2515/ase/examples/0000755000175400017540000000000011757245036015600 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/examples/plot-ase-atoms.py0000644000175400017540000000240011121465775021012 0ustar askhlaskhlfrom ase import Atoms, Atom, view from gpaw import GPAW logo = """\ H HH HHH H H H H HHH H HH H H H H H H HH HHH""" d = 0.8 atoms = Atoms() for y, line in enumerate(logo.split('\n')): for x, c in enumerate(line): if c == 'H': atoms.append(Atom('H', [d * x, -d * y, 0])) atoms.center(vacuum=2.0) view(atoms) if 0: calc = GPAW(nbands=30) atoms.set_calculator(calc) atoms.get_potential_energy() calc.write('ase-logo.gpw') else: calc = GPAW('ase-logo.gpw', txt=None) density = calc.get_pseudo_density() image = density[..., density.shape[2] // 2] if 1: # scale colors to wiki background / foreground import numpy as np background = np.array([[[19., 63., 82.]]]).T / 255 # 1c4e63 blueish foreground = np.array([[[1., 1., 1.]]]).T # white image = background + image / image.max() * (foreground - background) image = image.T else: # Use a standard color scheme image = pl.cm.hot(image.T) import pylab as pl x, y, z = atoms.cell.diagonal() pl.figure(1, figsize=(8, 8 * y / x), dpi=80) pl.axes([0, 0, 1, 1]) pl.imshow(image, origin='lower', extent=[0, x, 0, y], aspect='equal', interpolation='spline16') pl.axis('off') pl.savefig('ase-logo.png', dpi=80) pl.show() python-ase-3.6.0.2515/ase/examples/__init__.py0000644000175400017540000000000011523745043017671 0ustar askhlaskhlpython-ase-3.6.0.2515/ase/examples/COCu111.py0000644000175400017540000000357111410152653017160 0ustar askhlaskhlfrom math import sqrt from ase import Atoms, Atom from ase.constraints import FixAtoms from ase.optimize import QuasiNewton from ase.io import PickleTrajectory from ase.neb import NEB from ase.calculators.emt import EMT # Distance between Cu atoms on a (111) surface: a = 3.6 d = a / sqrt(2) y = d * sqrt(3) / 2 fcc111 = Atoms('Cu', cell=[(d, 0, 0), (d / 2, y, 0), (d / 2, y / 3, -a / sqrt(3))], pbc=True) slab = fcc111 * (2, 2, 4) slab.set_cell([2 * d, 2 * y, 1]) slab.set_pbc((1, 1, 0)) slab.set_calculator(EMT()) Z = slab.get_positions()[:, 2] indices = [i for i, z in enumerate(Z) if z < Z.mean()] constraint = FixAtoms(indices=indices) slab.set_constraint(constraint) dyn = QuasiNewton(slab) dyn.run(fmax=0.05) Z = slab.get_positions()[:, 2] print Z[0] - Z[1] print Z[1] - Z[2] print Z[2] - Z[3] b = 1.2 h = 2.0 slab += Atom('C', (d, 2 * y / 3, h)) slab += Atom('O', (3 * d / 2, y / 3, h)) traj = PickleTrajectory('initial.traj', 'w', slab) dyn = QuasiNewton(slab) dyn.attach(traj.write) dyn.run(fmax=0.05) #view(slab) # Make band: images = [slab.copy() for i in range(6)] neb = NEB(images, climb=True) # Set constraints and calculator: for image in images: image.set_calculator(EMT()) image.set_constraint(constraint) # Displace last image: images[-1].positions[-1] = (2 * d, 2 * y / 3, h) traj = PickleTrajectory('final.traj', 'w', images[-1]) dyn = QuasiNewton(images[-1]) dyn.attach(traj.write) dyn.run(fmax=0.05) # Interpolate positions between initial and final states: neb.interpolate() for image in images: print image.positions[-1], image.get_potential_energy() traj = PickleTrajectory('mep.traj', 'w') #dyn = MDMin(neb, dt=0.4) #dyn = FIRE(neb, dt=0.4) dyn = QuasiNewton(neb) dyn.attach(neb.writer(traj)) dyn.run(fmax=0.05) for image in images: print image.positions[-1], image.get_potential_energy() python-ase-3.6.0.2515/ase/examples/Pt_island.py0000644000175400017540000000424011410150314020043 0ustar askhlaskhlimport numpy as np from math import sqrt from ase import Atom, Atoms from ase.optimize import QuasiNewton, FIRE from ase.constraints import FixAtoms from ase.neb import NEB from ase.io import write, PickleTrajectory from ase.calculators.emt import ASAP # Distance between Cu atoms on a (100) surface: d = 2.74 h1 = d * sqrt(3) / 2 h2 = d * sqrt(2.0 / 3) initial = Atoms(symbols='Pt', positions=[(0, 0, 0)],#(1.37,0.79,2.24),(2.74,1.58,4.48),(0,0,6.72),(1.37,0.79,8.96),(2.74,1.58,11.2)], cell=([(d,0,0),(d/2,h1,0),(d/2,h1/3,-h2)]), pbc=(True, True, True)) initial *= (7, 8, 6) # 5x5 (100) surface-cell cell = initial.get_cell() cell[2] = (0, 0, 22) initial.set_cell(cell) #initial.set_pbc((True,True,False)) # Approximate height of Ag atom on Cu(100) surfece: h0 = 2.2373 initial += Atom('Pt', (10.96, 11.074, h0)) initial += Atom('Pt', (13.7, 11.074, h0)) initial += Atom('Pt', (9.59, 8.701, h0)) initial += Atom('Pt', (12.33, 8.701, h0)) initial += Atom('Pt', (15.07, 8.701, h0)) initial += Atom('Pt', (10.96, 6.328, h0)) initial += Atom('Pt', (13.7, 6.328, h0)) if 0: view(initial) # Make band: images = [initial.copy() for i in range(7)] neb = NEB(images) # Set constraints and calculator: indices = np.compress(initial.positions[:, 2] < -5.0, range(len(initial))) constraint = FixAtoms(indices) for image in images: image.set_calculator(ASAP()) image.constraints.append(constraint) # Displace last image: for i in xrange(1,8,1): images[-1].positions[-i] += (d/2, -h1/3, 0) write('initial.traj', images[0]) # Relax height of Ag atom for initial and final states: for image in [images[0], images[-1]]: QuasiNewton(image).run(fmax=0.01) if 0: write('initial.pckl', image[0]) write('finial.pckl', image[-1]) # Interpolate positions between initial and final states: neb.interpolate() for image in images: print image.positions[-1], image.get_potential_energy() traj = PickleTrajectory('mep.traj', 'w') dyn = FIRE(neb, dt=0.1) #dyn = MDMin(neb, dt=0.1) #dyn = QuasiNewton(neb) dyn.attach(neb.writer(traj)) dyn.run(fmax=0.01,steps=150) for image in images: print image.positions[-1], image.get_potential_energy() python-ase-3.6.0.2515/ase/examples/Al100.py0000644000175400017540000000036011410162316016707 0ustar askhlaskhlfrom ase import Atom, Atoms from gpaw import GPAW a = 4.0 b = a / 2**.5 L = 7.0 al = Atoms([Atom('Al')], cell=(b, b, L), pbc=True) calc = GPAW(kpts=(4, 4, 1)) al.set_calculator(calc) al.get_potential_energy() calc.write('Al100.gpw', 'all') python-ase-3.6.0.2515/ase/examples/stm.py0000644000175400017540000000032511410162316016736 0ustar askhlaskhlfrom ase import Atoms from ase.dft import STM from gpaw import GPAW calc = GPAW('Al100.gpw') a0 = calc.get_atoms() stm = STM(calc, [0, 1, 2]) c = stm.get_averaged_current(2.5) h = stm.scan(c) print h[8]-h[:, 8] python-ase-3.6.0.2515/ase/examples/neb1.py0000644000175400017540000000250210741426561016772 0ustar askhlaskhlfrom ase import * from math import sqrt a = 4.0614 b = a / sqrt(2) h = b / 2 initial = Atoms([Atom('Al', (0, 0, 0)), Atom('Al', (a / 2, b / 2, -h))], pbc=(1, 1, 0), cell=(a, b, 2 * h)) initial *= (2, 2, 2) initial.append(Atom('Al', (a / 2, b / 2, 3 * h))) #view(initial) #initial.set_cell((2*2,2*b,) final = initial.copy() final.positions[-1, 1] += b # Construct a list of images: images = [initial] for i in range(5): images.append(initial.copy()) images.append(final) # Make a mask of zeros and ones that select the dynamic atoms (the # three topmost layers): mask = initial.positions[:, 2] < 0.5 * h constraint = FixAtoms(mask=mask) print mask print 'Fixed atoms:', constraint.fixed for image in images: # Let all images use an EMT calculator: image.set_calculator(EMT()) image.set_constraint(constraint) # Relax the initial and final states: QuasiNewton(initial).run(fmax=0.05) QuasiNewton(final).run(fmax=0.05) # Create a Nudged Elastic Band: neb = NEB(images) # Mak a starting guess for the minimum energy path (a straight line # from the initial to the final state): neb.interpolate() # Use MDMin to relax the path: minimizer = QuasiNewton(neb) minimizer.run(fmax=0.05) # Write the path to a trajectory: traj = PickleTrajectory('jump1.traj', 'w') neb.write(traj) python-ase-3.6.0.2515/ase/all.py0000644000175400017540000000255511632077176015113 0ustar askhlaskhl"""This module imports many important modules at once.""" from ase.atom import Atom from ase.atoms import Atoms from ase.units import * from ase.io import read, write from ase.io.trajectory import PickleTrajectory from ase.dft import STM, monkhorst_pack, DOS from ase.optimize.mdmin import MDMin from ase.optimize.lbfgs import HessLBFGS from ase.optimize.fire import FIRE from ase.optimize.lbfgs import LBFGS, LBFGSLineSearch from ase.optimize.bfgs import BFGS from ase.optimize import QuasiNewton from ase.md.verlet import VelocityVerlet from ase.md.langevin import Langevin from ase.constraints import * from ase.calculators.lj import LennardJones from ase.calculators.emt import EMT from ase.calculators.siesta import Siesta from ase.calculators.dacapo import Dacapo from ase.calculators.vasp import Vasp from ase.calculators.aims import Aims, AimsCube from ase.calculators.turbomole import Turbomole from ase.calculators.dftb import Dftb from ase.neb import NEB, SingleCalculatorNEB from ase.dimer import DimerControl, DimerAtoms, DimerTranslate, \ MinModeAtoms, MinModeTranslate from ase.visualize import view from ase.data import chemical_symbols, atomic_numbers, atomic_names, \ atomic_masses, covalent_radii, reference_states from ase.data.molecules import molecule from ase.structure import * #from ase.lattice import bulk from math import pi, sqrt import numpy as np python-ase-3.6.0.2515/ase/structure.py0000644000175400017540000003245311650327031016367 0ustar askhlaskhl"""Atomic structure. This mudule contains helper functions for setting up nanotubes and graphene nanoribbons.""" import warnings from math import sqrt import numpy as np from ase.atoms import Atoms, string2symbols from ase.data import covalent_radii from ase.utils import gcd def nanotube(n, m, length=1, bond=1.42, symbol='C', verbose=False): if n < m: m, n = n, m sign = -1 else: sign = 1 nk = 6000 sq3 = sqrt(3.0) a = sq3 * bond l2 = n * n + m * m + n * m l = sqrt(l2) dt = a * l / np.pi nd = gcd(n ,m) if (n - m) % (3 * nd ) == 0: ndr = 3 * nd else: ndr = nd nr = (2 * m + n) / ndr ns = -(2 * n + m) / ndr nt2 = 3 * l2 / ndr / ndr nt = np.floor(sqrt(nt2)) nn = 2 * l2 / ndr ichk = 0 if nr == 0: n60 = 1 else: n60 = nr * 4 absn = abs(n60) nnp = [] nnq = [] for i in range(-absn, absn + 1): for j in range(-absn, absn + 1): j2 = nr * j - ns * i if j2 == 1: j1 = m * i - n * j if j1 > 0 and j1 < nn: ichk += 1 nnp.append(i) nnq.append(j) if ichk == 0: raise RuntimeError('not found p, q strange!!') if ichk >= 2: raise RuntimeError('more than 1 pair p, q strange!!') nnnp = nnp[0] nnnq = nnq[0] if verbose: print 'the symmetry vector is', nnnp, nnnq lp = nnnp * nnnp + nnnq * nnnq + nnnp * nnnq r = a * sqrt(lp) c = a * l t = sq3 * c / ndr if 2 * nn > nk: raise RuntimeError('parameter nk is too small!') rs = c / (2.0 * np.pi) if verbose: print 'radius=', rs, t q1 = np.arctan((sq3 * m) / (2 * n + m)) q2 = np.arctan((sq3 * nnnq) / (2 * nnnp + nnnq)) q3 = q1 - q2 q4 = 2.0 * np.pi / nn q5 = bond * np.cos((np.pi / 6.0) - q1) / c * 2.0 * np.pi h1 = abs(t) / abs(np.sin(q3)) h2 = bond * np.sin((np.pi / 6.0) - q1) ii = 0 x, y, z = [], [], [] for i in range(nn): x1, y1, z1 = 0, 0, 0 k = np.floor(i * abs(r) / h1) x1 = rs * np.cos(i * q4) y1 = rs * np.sin(i * q4) z1 = (i * abs(r) - k * h1) * np.sin(q3) kk2 = abs(np.floor((z1 + 0.0001) / t)) if z1 >= t - 0.0001: z1 -= t * kk2 elif z1 < 0: z1 += t * kk2 ii += 1 x.append(x1) y.append(y1) z.append(z1) z3 = (i * abs(r) - k * h1) * np.sin(q3) - h2 ii += 1 if z3 >= 0 and z3 < t: x2 = rs * np.cos(i * q4 + q5) y2 = rs * np.sin(i * q4 + q5) z2 = (i * abs(r) - k * h1) * np.sin(q3) - h2 x.append(x2) y.append(y2) z.append(z2) else: x2 = rs * np.cos(i * q4 + q5) y2 = rs * np.sin(i * q4 + q5) z2 = (i * abs(r) - (k + 1) * h1) * np.sin(q3) - h2 kk = abs(np.floor(z2 / t)) if z2 >= t - 0.0001: z2 -= t * kk elif z2 < 0: z2 += t * kk x.append(x2) y.append(y2) z.append(z2) ntotal = 2 * nn X = [] for i in range(ntotal): X.append([x[i], y[i], sign * z[i]]) if length > 1: xx = X[:] for mnp in range(2, length + 1): for i in range(len(xx)): X.append(xx[i][:2] + [xx[i][2] + (mnp - 1) * t]) TransVec = t NumAtom = ntotal * length Diameter = rs * 2 ChiralAngle = np.arctan((sq3 * n) / (2 * m + n)) / (np.pi * 180) cell = [Diameter * 2, Diameter * 2, length * t] atoms = Atoms(symbol + str(NumAtom), positions=X, cell=cell, pbc=[False, False, True]) atoms.center() if verbose: print 'translation vector =', TransVec print 'diameter = ', Diameter print 'chiral angle = ', ChiralAngle return atoms def graphene_nanoribbon(n, m, type='zigzag', saturated=False, C_H=1.09, C_C=1.42, vacuum=2.5, magnetic=None, initial_mag=1.12, sheet=False, main_element='C', saturate_element='H', vacc=None): """Create a graphene nanoribbon. Creates a graphene nanoribbon in the x-z plane, with the nanoribbon running along the z axis. Parameters: n: The width of the nanoribbon m: The length of the nanoribbon. type ('zigzag'): The orientation of the ribbon. Must be either 'zigzag' or 'armchair'. saturated (Falsi): If true, hydrogen atoms are placed along the edge. C_H: Carbon-hydrogen bond length. Default: 1.09 Angstrom C_C: Carbon-carbon bond length. Default: 1.42 Angstrom. vacuum: Amount of vacuum added to both sides. Default 2.5 Angstrom. magnetic: Make the edges magnetic. initial_mag: Magnitude of magnetic moment if magnetic=True. sheet: If true, make an infinite sheet instead of a ribbon. """ #This function creates the coordinates for a graphene nanoribbon, #n is width, m is length if vacc is not None: warnings.warn('Use vacuum=%f' % (0.5 * vacc)) vacuum = 0.5 * vacc assert vacuum > 0 b = sqrt(3) * C_C / 4 arm_unit = Atoms(main_element+'4', pbc=(1,0,1), cell = [4 * b, 2 * vacuum, 3 * C_C]) arm_unit.positions = [[0, 0, 0], [b * 2, 0, C_C / 2.], [b * 2, 0, 3 * C_C / 2.], [0, 0, 2 * C_C]] zz_unit = Atoms(main_element+'2', pbc=(1,0,1), cell = [3 * C_C /2., 2 * vacuum, b * 4]) zz_unit.positions = [[0, 0, 0], [C_C / 2., 0, b * 2]] atoms = Atoms() tol = 1e-4 if sheet: vacuum2 = 0.0 else: vacuum2 = vacuum if type == 'zigzag': edge_index0 = np.arange(m) * 2 + 1 edge_index1 = (n - 1) * m * 2 + np.arange(m) * 2 if magnetic: mms = np.zeros(m * n * 2) for i in edge_index0: mms[i] = initial_mag for i in edge_index1: mms[i] = -initial_mag for i in range(n): layer = zz_unit.repeat((1, 1, m)) layer.positions[:, 0] -= 3 * C_C / 2 * i if i % 2 == 1: layer.positions[:, 2] += 2 * b layer[-1].position[2] -= b * 4 * m atoms += layer if magnetic: atoms.set_initial_magnetic_moments(mms) if saturated: H_atoms0 = Atoms(saturate_element + str(m)) H_atoms0.positions = atoms[edge_index0].positions H_atoms0.positions[:, 0] += C_H H_atoms1 = Atoms(saturate_element + str(m)) H_atoms1.positions = atoms[edge_index1].positions H_atoms1.positions[:, 0] -= C_H atoms += H_atoms0 + H_atoms1 atoms.cell = [n * 3 * C_C / 2 + 2 * vacuum2, 2 * vacuum, m * 4 * b] elif type == 'armchair': for i in range(n): layer = arm_unit.repeat((1, 1, m)) layer.positions[:, 0] -= 4 * b * i atoms += layer atoms.cell = [b * 4 * n + 2 * vacuum2, 2 * vacuum, 3 * C_C * m] atoms.center() atoms.set_pbc([sheet, False, True]) return atoms def molecule(name, data=None, **kwargs): """Create formula base on data. If data is None assume G2 set. kwargs currently not used. """ if data is None: from ase.data.g2 import data if name not in data.keys(): raise NotImplementedError('%s not in data.' % (name)) args = data[name].copy() # accept only the following Atoms constructor arguments # XXX: should we accept all Atoms arguments? for k in args.keys(): if k not in [ 'symbols', 'positions', 'numbers', 'tags', 'masses', 'magmoms', 'charges', 'info', ]: args.pop(k) # kwargs overwrites data args.update(kwargs) return Atoms(**args) def bulk(name, crystalstructure, a=None, c=None, covera=None, orthorhombic=False, cubic=False): """Helper function for creating bulk systems. name: str Chemical symbol or symbols as in 'MgO' or 'NaCl'. crystalstructure: str Must be one of sc, fcc, bcc, hcp, diamond, zincblende or rocksalt. a: float Lattice constant. c: float Lattice constant. covera: float c/a raitio used for hcp. Defaults to ideal ratio. orthorhombic: bool Construct orthorhombic unit cell instead of primitive cell which is the default. cubic: bool Construct cubic unit cell. """ #warnings.warn('This function is deprecated. Use the ' + # 'ase.lattice.bulk.bulk() function instead.') if a is not None: a = float(a) if c is not None: c = float(c) if covera is not None and c is not None: raise ValueError("Don't specify both c and c/a!") if covera is None and c is None: covera = sqrt(8.0 / 3.0) if a is None: a = estimate_lattice_constant(name, crystalstructure, covera) if covera is None and c is not None: covera = c / a x = crystalstructure.lower() if orthorhombic and x != 'sc': return _orthorhombic_bulk(name, x, a, covera) if cubic and x == 'bcc': return _orthorhombic_bulk(name, x, a, covera) if cubic and x != 'sc': return _cubic_bulk(name, x, a) if x == 'sc': atoms = Atoms(name, cell=(a, a, a), pbc=True) elif x == 'fcc': b = a / 2 atoms = Atoms(name, cell=[(0, b, b), (b, 0, b), (b, b, 0)], pbc=True) elif x == 'bcc': b = a / 2 atoms = Atoms(name, cell=[(-b, b, b), (b, -b, b), (b, b, -b)], pbc=True) elif x == 'hcp': atoms = Atoms(2 * name, scaled_positions=[(0, 0, 0), (1.0 / 3.0, 1.0 / 3.0, 0.5)], cell=[(a, 0, 0), (a / 2, a * sqrt(3) / 2, 0), (0, 0, covera * a)], pbc=True) elif x == 'diamond': atoms = bulk(2 * name, 'zincblende', a) elif x == 'zincblende': s1, s2 = string2symbols(name) atoms = bulk(s1, 'fcc', a) + bulk(s2, 'fcc', a) atoms.positions[1] += a / 4 elif x == 'rocksalt': s1, s2 = string2symbols(name) atoms = bulk(s1, 'fcc', a) + bulk(s2, 'fcc', a) atoms.positions[1, 0] += a / 2 else: raise ValueError('Unknown crystal structure: ' + crystalstructure) return atoms def estimate_lattice_constant(name, crystalstructure, covera): atoms = bulk(name, crystalstructure, 1.0, covera) v0 = atoms.get_volume() v = 0.0 for Z in atoms.get_atomic_numbers(): r = covalent_radii[Z] v += 4 * np.pi / 3 * r**3 * 1.5 return (v / v0)**(1.0 / 3) def _orthorhombic_bulk(name, x, a, covera=None): if x == 'fcc': b = a / sqrt(2) atoms = Atoms(2 * name, cell=(b, b, a), pbc=True, scaled_positions=[(0, 0, 0), (0.5, 0.5, 0.5)]) elif x == 'bcc': atoms = Atoms(2 * name, cell=(a, a, a), pbc=True, scaled_positions=[(0, 0, 0), (0.5, 0.5, 0.5)]) elif x == 'hcp': atoms = Atoms(4 * name, cell=(a, a * sqrt(3), covera * a), scaled_positions=[(0, 0, 0), (0.5, 0.5, 0), (0.5, 1.0 / 6.0, 0.5), (0, 2.0 / 3.0, 0.5)], pbc=True) elif x == 'diamond': atoms = _orthorhombic_bulk(2 * name, 'zincblende', a) elif x == 'zincblende': s1, s2 = string2symbols(name) b = a / sqrt(2) atoms = Atoms(2 * name, cell=(b, b, a), pbc=True, scaled_positions=[(0, 0, 0), (0.5, 0, 0.25), (0.5, 0.5, 0.5), (0, 0.5, 0.75)]) elif x == 'rocksalt': s1, s2 = string2symbols(name) b = a / sqrt(2) atoms = Atoms(2 * name, cell=(b, b, a), pbc=True, scaled_positions=[(0, 0, 0), (0.5, 0.5, 0), (0.5, 0.5, 0.5), (0, 0, 0.5)]) else: raise RuntimeError return atoms def _cubic_bulk(name, x, a): if x == 'fcc': atoms = Atoms(4 * name, cell=(a, a, a), pbc=True, scaled_positions=[(0, 0, 0), (0, 0.5, 0.5), (0.5, 0, 0.5), (0.5, 0.5, 0)]) elif x == 'diamond': atoms = _cubic_bulk(2 * name, 'zincblende', a) elif x == 'zincblende': atoms = Atoms(4 * name, cell=(a, a, a), pbc=True, scaled_positions=[(0, 0, 0), (0.25, 0.25, 0.25), (0, 0.5, 0.5), (0.25, 0.75, 0.75), (0.5, 0, 0.5), (0.75, 0.25, 0.75), (0.5, 0.5, 0), (0.75, 0.75, 0.25)]) elif x == 'rocksalt': atoms = Atoms(4 * name, cell=(a, a, a), pbc=True, scaled_positions=[(0, 0, 0), (0.5, 0, 0), (0, 0.5, 0.5), (0.5, 0.5, 0.5), (0.5, 0, 0.5), (0, 0, 0.5), (0.5, 0.5, 0), (0, 0.5, 0)]) else: raise RuntimeError return atoms python-ase-3.6.0.2515/ase/parallel.py0000644000175400017540000000672711717212003016124 0ustar askhlaskhlimport sys import time import atexit import numpy as np def paropen(name, mode='r', buffering=0): """MPI-safe version of open function. In read mode, the file is opened on all nodes. In write and append mode, the file is opened on the master only, and /dev/null is opened on all other nodes. """ if rank > 0 and mode[0] != 'r': name = '/dev/null' return open(name, mode, buffering) def parprint(*args, **kwargs): """MPI-safe print - prints only from master. Tries to adopt python 3 behaviour. """ if rank > 0: return defaults = {'end': '\n', 'file': sys.stdout } for key in defaults: if not key in kwargs: kwargs[key] = defaults[key] for arg in args[:-1]: print >> kwargs['file'], arg, if len(args): last = args[-1] else: last = '' if kwargs['end'] == '\n': print >> kwargs['file'], last else: print >> kwargs['file'], last, class DummyMPI: rank = 0 size = 1 def sum(self, a): if isinstance(a, np.ndarray) and a.ndim > 0: pass else: return a def barrier(self): pass def broadcast(self, a, rank): pass class MPI4PY: def __init__(self): from mpi4py import MPI self.comm = MPI.COMM_WORLD self.rank = self.comm.rank self.size = self.comm.size def sum(self, a): return self.comm.allreduce(a) def barrier(self): self.comm.barrier() def broadcast(self, a, rank): a[:] = self.comm.bcast(a, rank) # Check for special MPI-enabled Python interpreters: if '_gpaw' in sys.modules: # http://wiki.fysik.dtu.dk/gpaw from gpaw.mpi import world elif 'asapparallel3' in sys.modules: # http://wiki.fysik.dtu.dk/Asap # We cannot import asap3.mpi here, as that creates an import deadlock #from asap3.mpi import world import asapparallel3 world = asapparallel3.Communicator() elif 'Scientific_mpi' in sys.modules: from Scientific.MPI import world elif 'mpi4py' in sys.modules: world = MPI4PY() else: # This is a standard Python interpreter: world = DummyMPI() rank = world.rank size = world.size barrier = world.barrier def register_parallel_cleanup_function(): """Call MPI_Abort if python crashes. This will terminate the processes on the other nodes.""" if size == 1: return def cleanup(sys=sys, time=time, world=world): error = getattr(sys, 'last_type', None) if error: sys.stdout.flush() sys.stderr.write(('ASE CLEANUP (node %d): %s occurred. ' + 'Calling MPI_Abort!\n') % (world.rank, error)) sys.stderr.flush() # Give other nodes a moment to crash by themselves (perhaps # producing helpful error messages): time.sleep(3) world.abort(42) atexit.register(cleanup) def distribute_cpus(parsize_calculator, comm): """Distribute cpus to tasks and calculators""" assert parsize_calculator <= comm.size assert comm.size % parsize_calculator == 0 tasks_rank = comm.rank // parsize_calculator r0 = tasks_rank * parsize_calculator ranks = np.arange(r0, r0 + parsize_calculator) calc_comm = comm.new_communicator(ranks) # print 'comm.rank, ranks=', comm.rank, ranks tasks_comm = np.arange(0, comm.size, parsize_calculator) return calc_comm, tasks_comm, tasks_rank python-ase-3.6.0.2515/ase/cluster/0000755000175400017540000000000011757245034015441 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/cluster/__init__.py0000644000175400017540000000067211701263043017544 0ustar askhlaskhl"Module for creating clusters." from ase.cluster.cluster import Cluster from ase.cluster.wulff import wulff_construction from ase.cluster.cubic import SimpleCubic, BodyCenteredCubic,\ FaceCenteredCubic from ase.cluster.octahedron import Octahedron from ase.cluster.hexagonal import Hexagonal, HexagonalClosedPacked from ase.cluster.icosahedron import Icosahedron from ase.cluster.decahedron import Decahedron python-ase-3.6.0.2515/ase/cluster/wulff.py0000644000175400017540000001631111531736072017135 0ustar askhlaskhlimport numpy as np import ase.cluster from ase.cluster.cubic import FaceCenteredCubic from ase.data import atomic_numbers, reference_states delta = 1e-10 _debug = None def wulff_construction(symbol, surfaces, energies, size, structure, rounding="closest", latticeconstant=None, debug=0): """Create a cluster using the Wulff construction. A cluster is created with approximately the number of atoms specified, following the Wulff construction, i.e. minimizing the surface energy of the cluster. Parameters: ----------- symbol: The chemical symbol (or atomic number) of the desired element. surfaces: A list of surfaces. energies: A list of surface energies for the surfaces. size: The desired number of atoms. structure: The desired crystal structure. Either one of the strings "fcc", "bcc", "sc", "hcp", "graphite"; or one of the cluster factory objects from the ase.cluster.XXX modules. rounding (optional): Specifies what should be done if no Wulff construction corresponds to exactly the requested number of atoms. Should be a string, either "above", "below" or "closest" (the default), meaning that the nearest cluster above or below - or the closest one - is created instead. latticeconstant (optional): The lattice constant. If not given, extracted from ase.data. debug (optional): If non-zero, information about the iteration towards the right cluster size is printed. """ global _debug _debug = debug if debug: print "Wulff: Aiming for cluster with %i atoms (%s)" % (size, rounding) if rounding not in ["above", "below", "closest"]: raise ValueError("Invalid rounding: "+rounding) # Interpret symbol if isinstance(symbol, str): atomic_number = atomic_numbers[symbol] else: atomic_number = symbol # Interpret structure, if it is a string. if isinstance(structure, str): if structure == 'fcc': from ase.cluster.cubic import FaceCenteredCubic as structure elif structure == 'bcc': from ase.cluster.cubic import BodyCenteredCubic as structure elif structure == 'sc': from ase.cluster.cubic import SimpleCubic as structure elif structure == 'hcp': from ase.cluster.hexagonal import HexagonalClosedPacked as structure elif structure == 'graphite': from ase.cluster.hexagonal import Graphite as structure else: raise NotImplementedError("Crystal structure "+structure+ " is not supported.") # Check number of surfaces nsurf = len(surfaces) if len(energies) != nsurf: raise ValueError("The energies array should contain %d values." % (nsurf,)) # We should check that for each direction, the surface energy plus # the energy in the opposite direction is positive. But this is # very difficult in the general case! # Before starting, make a fake cluster just to extract the # interlayer distances in the relevant directions, and use these # to "renormalize" the surface energies such that they can be used # to convert to number of layers instead of to distances. atoms = structure(symbol, surfaces, 5*np.ones(len(surfaces), int), latticeconstant=latticeconstant) for i, s in enumerate(surfaces): d = atoms.get_layer_distance(s) energies[i] /= d # First guess a size that is not too large. wanted_size = size**(1.0/3.0) max_e = max(energies) factor = wanted_size / max_e #layers = np.array([int(round(factor * e)) for e in energies]) atoms, layers = make_atoms(symbol, surfaces, energies, factor, structure, latticeconstant) if len(atoms) == 0: # Probably the cluster is very flat if debug: print "First try made an empty cluster, trying again." factor = 1 / energies_sum.min() atoms, layers = make_atoms(symbol, surfaces, energies, factor, structure, latticeconstant) if len(atoms) == 0: raise RuntimeError("Failed to create a finite cluster.") # Second guess: scale to get closer. old_factor = factor old_layers = layers old_atoms = atoms factor *= (size / len(atoms))**(1.0/3.0) atoms, layers = make_atoms(symbol, surfaces, energies, factor, structure, latticeconstant) if len(atoms) == 0: print "Second guess gave an empty cluster, discarding it." atoms = old_atoms factor = old_factor layers = old_layers else: del old_atoms # Find if the cluster is too small or too large (both means perfect!) below = above = None if len(atoms) <= size: below = atoms if len(atoms) >= size: above = atoms # Now iterate towards the right cluster iter = 0 while (below is None or above is None): if len(atoms) < size: # Find a larger cluster if debug: print "Making a larger cluster." factor = ((layers + 0.5 + delta) / energies).min() atoms, new_layers = make_atoms(symbol, surfaces, energies, factor, structure, latticeconstant) assert (new_layers - layers).max() == 1 assert (new_layers - layers).min() >= 0 layers = new_layers else: # Find a smaller cluster if debug: print "Making a smaller cluster." factor = ((layers - 0.5 - delta) / energies).max() atoms, new_layers = make_atoms(symbol, surfaces, energies, factor, structure, latticeconstant) assert (new_layers - layers).max() <= 0 assert (new_layers - layers).min() == -1 layers = new_layers if len(atoms) <= size: below = atoms if len(atoms) >= size: above = atoms iter += 1 if iter == 100: raise RuntimeError("Runaway iteration.") if rounding == "below": if debug: print "Choosing smaller cluster with %i atoms" % (len(below),) return below elif rounding == "above": if debug: print "Choosing larger cluster with %i atoms" % (len(above),) return above else: assert rounding == "closest" if (len(above) - size) < (size - len(below)): atoms = above else: atoms = below if debug: print "Choosing closest cluster with %i atoms" % (len(atoms),) return atoms def make_atoms(symbol, surfaces, energies, factor, structure, latticeconstant): layers1 = factor * np.array(energies) layers = np.round(layers1).astype(int) #layers = np.array([int(round(factor * e)) for e in energies]) atoms = structure(symbol, surfaces, layers, latticeconstant=latticeconstant) if _debug: print "Created a cluster with %i atoms: %s" % (len(atoms), str(layers)) #print layers1 return (atoms, layers) python-ase-3.6.0.2515/ase/cluster/compounds.py0000644000175400017540000000074511627645303020027 0ustar askhlaskhlimport numpy as np from ase.cluster.cubic import SimpleCubicFactory # The L1_2 structure is "based on FCC", but is really simple cubic # with a basis. class AuCu3Factory(SimpleCubicFactory): "A factory for creating AuCu3 (L1_2) lattices." atomic_basis = np.array([[0., 0., 0.], [0., .5, .5], [.5, 0., .5], [.5, .5, 0.]]) element_basis = [0, 1, 1, 1] AuCu3 = L1_2 = AuCu3Factory() python-ase-3.6.0.2515/ase/cluster/decahedron.py0000644000175400017540000000672211536365721020117 0ustar askhlaskhlimport numpy as np from ase import Atoms from ase.data import atomic_numbers, reference_states def Decahedron(symbol, p, q, r, latticeconstant=None): """ Returns a cluster in the decahedra class. Prameters --------- symbol: Chemical symbol (or atomic number) of the element. p: Number of atoms on the (100) facets perpendicular to the five fold axis. q: Number of atoms on the (100) facets parallel to the five fold axis. q = 1 corresponds to no visible (100) facets. r: Depth of the Marks re-entrence at the pentagon corners. r = 0 corresponds to no re-entrence. latticeconstant (optional): The lattice constant. If not given, then it is extracted form ase.data. """ # Interpret symbol if isinstance(symbol, str): atomic_number = atomic_numbers[symbol] else: atomic_number = symbol # Interpret lattice constant if latticeconstant is None: if reference_states[atomic_number]['symmetry'] in ['fcc', 'bcc', 'sc']: lattice_constant = reference_states[atomic_number]['a'] else: raise NotImplementedError(("Cannot guess lattice constant of a %s element." % (reference_states[atomic_number]['symmetry'],))) else: if isinstance(latticeconstant, (int, float)): lattice_constant = latticeconstant else: raise ValueError("Lattice constant must be of type int or float.") # Check values of p, q, r if p < 1 or q < 1: raise ValueError("p and q must be greater than 0.") if r < 0: raise ValueError("r must be greater than or equal to 0.") # Defining constants t = 2.0*np.pi/5.0 b = lattice_constant/np.sqrt(2.0) a = b*np.sqrt(3.0)/2.0 verticies = a * np.array([[np.cos(np.pi/2.), np.sin(np.pi/2.), 0.], [np.cos(t*1. + np.pi/2.), np.sin(t*1. + np.pi/2.), 0.], [np.cos(t*2. + np.pi/2.), np.sin(t*2. + np.pi/2.), 0.], [np.cos(t*3. + np.pi/2.), np.sin(t*3. + np.pi/2.), 0.], [np.cos(t*4. + np.pi/2.), np.sin(t*4. + np.pi/2.), 0.]]) # Number of atoms on the five fold axis and a nice constant h = p + q + 2*r - 1 g = h - q + 1 # p + 2*r positions = [] # Make the five fold axis for j in range(h): pos = np.array([0.0, 0.0, j*b - (h-1)*b/2.0]) positions.append(pos) # Make pentagon rings around the five fold axis for n in range(1, h): # Condition for (100)-planes if n < g: for m in range(5): v1 = verticies[m-1] v2 = verticies[m] for i in range(n): # Condition for marks re-entrence if n - i < g - r and i < g - r: for j in range(h-n): pos = (n-i)*v1 + i*v2 pos += np.array([0.0, 0.0, j*b - (h-n-1)*b/2.0]) positions.append(pos) # Fit the cell, so it only just consist the atoms min = np.zeros(3) max = np.zeros(3) axes = np.array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.]]) for i in range(3): r = np.dot(positions, axes[i]) min[i] = r.min() max[i] = r.max() cell = max - min positions = np.array(positions) - min symbols = [atomic_number] * len(positions) return Atoms(symbols=symbols, positions=positions, cell=cell) python-ase-3.6.0.2515/ase/cluster/cluster.py0000644000175400017540000001010511712735707017473 0ustar askhlaskhlimport os import math import numpy as np import cPickle as pickle from ase import Atoms from ase.data import chemical_symbols from ase.cluster.base import ClusterBase class Cluster(Atoms, ClusterBase): symmetry = None surfaces = None lattice_basis = None resiproc_basis = None atomic_basis = None def copy(self): cluster = Atoms.copy(self) cluster.symmetry = self.symmetry cluster.surfaces = self.surfaces.copy() cluster.lattice_basis = self.lattice_basis.copy() cluster.atomic_basis = self.atomic_basis.copy() cluster.resiproc_basis = self.resiproc_basis.copy() return cluster def get_surfaces(self): """Returns the miller indexs of the stored surfaces of the cluster.""" if not self.surfaces is None: return self.surfaces.copy() else: return None def get_layers(self): """Return number of atomic layers in stored surfaces directions.""" layers = [] for s in self.surfaces: n = self.miller_to_direction(s) c = self.get_positions().mean(axis=0) r = np.dot(self.get_positions() - c, n).max() d = self.get_layer_distance(s, 2) l = 2 * np.round(r / d).astype(int) ls = np.arange(l - 1, l + 2) ds = np.array([self.get_layer_distance(s, i) for i in ls]) mask = (np.abs(ds - r) < 1e-10) layers.append(ls[mask][0]) return np.array(layers, int) def get_diameter(self, method='volume'): """Returns an estimate of the cluster diameter based on two different methods. method = 'volume': Returns the diameter of a sphere with the same volume as the atoms. (Default) method = 'shape': Returns the averaged diameter calculated from the directions given by the defined surfaces. """ if method == 'shape': cen = self.get_positions().mean(axis=0) pos = self.get_positions() - cen d = 0.0 for s in self.surfaces: n = self.miller_to_direction(s) r = np.dot(pos, n) d += r.max() - r.min() return d / len(self.surfaces) elif method == 'volume': V_cell = np.abs(np.linalg.det(self.lattice_basis)) N_cell = len(self.atomic_basis) N = len(self) return 2.0 * (3.0 * N * V_cell / (4.0 * math.pi * N_cell)) ** (1.0 / 3.0) else: return 0.0 #Functions to store the cluster def write(self, filename=None): if not isinstance(filename, str): raise Warning('You must specify a valid filename.') if os.path.isfile(filename): os.rename(filename, filename + '.bak') d = {'symmetry': self.symmetry, 'surfaces': self.surfaces, 'lattice_basis': self.lattice_basis, 'resiproc_basis': self.resiproc_basis, 'atomic_basis': self.atomic_basis, 'cell': self.get_cell(), 'pbc': self.get_pbc()} f = open(filename, 'w') f.write('Cluster') pickle.dump(d, f) pickle.dump(self.arrays, f) f.close() def read(self, filename): if not os.path.isfile(filename): raise Warning('The file specified do not exist.') f = open(filename, 'r') try: if f.read(len('Cluster')) != 'Cluster': raise Warning('This is not a compatible file.') d = pickle.load(f) self.arrays = pickle.load(f) except EOFError: raise Warinig('Bad file.') f.close() self.symmetry = d['symmetry'] self.surfaces = d['surfaces'] self.lattice_basis = d['lattice_basis'] self.resiproc_basis = d['resiproc_basis'] self.atomic_basis = d['atomic_basis'] self.set_cell(d['cell']) self.set_pbc(d['pbc']) self.set_constraint() self.adsorbate_info = {} self.calc = None python-ase-3.6.0.2515/ase/cluster/factory.py0000644000175400017540000002064511712735707017473 0ustar askhlaskhlimport numpy as np from ase.data import atomic_numbers as ref_atomic_numbers from ase.lattice.spacegroup import Spacegroup from ase.cluster.base import ClusterBase from ase.cluster.cluster import Cluster class ClusterFactory(ClusterBase): directions = [[1, 0, 0], [0, 1, 0], [0, 0, 1]] atomic_basis = np.array([[0., 0., 0.]]) element_basis = None def __call__(self, symbols, surfaces, layers, latticeconstant=None, center=None, vacuum=0.0, debug=0): self.debug = debug # Interpret symbol self.set_atomic_numbers(symbols) # Interpret lattice constant if latticeconstant is None: if self.element_basis is None: self.lattice_constant = self.get_lattice_constant() else: raise ValueError("A lattice constant must be specified for a compound") else: self.lattice_constant = latticeconstant self.set_basis() if self.debug: print "Lattice constant(s):", self.lattice_constant print "Lattice basis:\n", self.lattice_basis print "Resiprocal basis:\n", self.resiproc_basis print "Atomic basis:\n", self.atomic_basis self.set_surfaces_layers(surfaces, layers) self.set_lattice_size(center) if self.debug: print "Center position:", self.center.round(2) print "Base lattice size:", self.size cluster = self.make_cluster(vacuum) cluster.symmetry = self.xtal_name cluster.surfaces = self.surfaces.copy() cluster.lattice_basis = self.lattice_basis.copy() cluster.atomic_basis = self.atomic_basis.copy() cluster.resiproc_basis = self.resiproc_basis.copy() return cluster def make_cluster(self, vacuum): # Make the base crystal by repeating the unit cell size = np.array(self.size) translations = np.zeros((size.prod(), 3)) for h in range(size[0]): for k in range(size[1]): for l in range(size[2]): i = h * (size[1] * size[2]) + k * size[2] + l translations[i] = np.dot([h, k, l], self.lattice_basis) atomic_basis = np.dot(self.atomic_basis, self.lattice_basis) positions = np.zeros((len(translations) * len(atomic_basis), 3)) numbers = np.zeros(len(positions)) n = len(atomic_basis) for i, trans in enumerate(translations): positions[n*i:n*(i+1)] = atomic_basis + trans numbers[n*i:n*(i+1)] = self.atomic_numbers # Remove all atoms that is outside the defined surfaces for s, l in zip(self.surfaces, self.layers): n = self.miller_to_direction(s) rmax = self.get_layer_distance(s, l + 0.1) r = np.dot(positions - self.center, n) mask = np.less(r, rmax) if self.debug > 1: print "Cutting %s at %i layers ~ %.3f A" % (s, l, rmax) positions = positions[mask] numbers = numbers[mask] # Fit the cell, so it only just consist the atoms min = np.zeros(3) max = np.zeros(3) for i in range(3): v = self.directions[i] r = np.dot(positions, v) min[i] = r.min() max[i] = r.max() cell = max - min + vacuum positions = positions - min + vacuum / 2.0 self.center = self.center - min + vacuum / 2.0 return Cluster(symbols=numbers, positions=positions, cell=cell) def set_atomic_numbers(self, symbols): "Extract atomic number from element" # The types that can be elements: integers and strings atomic_numbers = [] if self.element_basis is None: if isinstance(symbols, str): atomic_numbers.append(ref_atomic_numbers[symbols]) elif isinstance(symbols, int): atomic_numbers.append(symbols) else: raise TypeError("The symbol argument must be a " + "string or an atomic number.") element_basis = [0] * len(self.atomic_basis) else: if isinstance(symbols, (list, tuple)): nsymbols = len(symbols) else: nsymbols = 0 nelement_basis = max(self.element_basis) + 1 if nsymbols != nelement_basis: raise TypeError("The symbol argument must be a sequence " + "of length %d" % (nelement_basis,) + " (one for each kind of lattice position") for s in symbols: if isinstance(s, str): atomic_numbers.append(ref_atomic_numbers[s]) elif isinstance(s, int): atomic_numbers.append(s) else: raise TypeError("The symbol argument must be a " + "string or an atomic number.") element_basis = self.element_basis self.atomic_numbers = [atomic_numbers[n] for n in element_basis] assert len(self.atomic_numbers) == len(self.atomic_basis) def set_lattice_size(self, center): if center is None: offset = np.zeros(3) else: offset = np.array(center) if (offset > 1.0).any() or (offset < 0.0).any(): raise ValueError("Center offset must lie within the lattice unit \ cell.") max = np.ones(3) min = -np.ones(3) v = np.linalg.inv(self.lattice_basis.T) for s, l in zip(self.surfaces, self.layers): n = self.miller_to_direction(s) * self.get_layer_distance(s, l) k = np.round(np.dot(v, n), 2) for i in range(3): if k[i] > 0.0: k[i] = np.ceil(k[i]) elif k[i] < 0.0: k[i] = np.floor(k[i]) if self.debug > 1: print "Spaning %i layers in %s in lattice basis ~ %s" % (l, s, k) max[k > max] = k[k > max] min[k < min] = k[k < min] self.center = np.dot(offset - min, self.lattice_basis) self.size = (max - min + np.ones(3)).astype(int) def set_surfaces_layers(self, surfaces, layers): if len(surfaces) != len(layers): raise ValueError("Improper size of surface and layer arrays: %i != %i" % (len(surfaces), len(layers))) sg = Spacegroup(self.spacegroup) surfaces = np.array(surfaces) layers = np.array(layers) for i, s in enumerate(surfaces): s = reduce_miller(s) surfaces[i] = s surfaces_full = surfaces.copy() layers_full = layers.copy() for s, l in zip(surfaces, layers): equivalent_surfaces = sg.equivalent_reflections(s.reshape(-1, 3)) for es in equivalent_surfaces: # If the equivalent surface (es) is not in the surface list, # then append it. if not np.equal(es, surfaces_full).all(axis=1).any(): surfaces_full = np.append(surfaces_full, es.reshape(1, 3), axis=0) layers_full = np.append(layers_full, l) self.surfaces = surfaces_full.copy() self.layers = layers_full.copy() def get_resiproc_basis(self, basis): """Returns the resiprocal basis to a given lattice (crystal) basis""" k = 1 / np.dot(basis[0], cross(basis[1], basis[2])) # The same as the inversed basis matrix transposed return k * np.array([cross(basis[1], basis[2]), cross(basis[2], basis[0]), cross(basis[0], basis[1])]) # Helping functions def cross(a, b): """The cross product of two vectors.""" return np.array([a[1]*b[2] - b[1]*a[2], a[2]*b[0] - b[2]*a[0], a[0]*b[1] - b[0]*a[1]]) def GCD(a,b): """Greatest Common Divisor of a and b.""" #print "--" while a != 0: #print a,b,">", a,b = b%a,a #print a,b return b def reduce_miller(hkl): """Reduce Miller index to the lowest equivalent integers.""" hkl = np.array(hkl) old = hkl.copy() d = GCD(GCD(hkl[0], hkl[1]), hkl[2]) while d != 1: hkl = hkl / d d = GCD(GCD(hkl[0], hkl[1]), hkl[2]) if np.dot(old, hkl) > 0: return hkl else: return -hkl python-ase-3.6.0.2515/ase/cluster/octahedron.py0000644000175400017540000000341511700335744020140 0ustar askhlaskhl""" Function-like objects that creates cubic clusters. """ import numpy as np from ase.cluster.cubic import FaceCenteredCubic from ase.cluster.compounds import L1_2 def Octahedron(symbol, length, cutoff=0, latticeconstant=None, alloy=False): """ Returns Face Centered Cubic clusters of the octahedral class depending on the choice of cutoff. Type Condition ---- --------- Regular octahedron cutoff = 0 Truncated octahedron cutoff > 0 Regular truncated octahedron length = 3 * cutoff + 1 Cuboctahedron length = 2 * cutoff + 1 Parameters ---------- symbol: The chemical symbol or atomic number of the element(s). length: Number of atoms on the square edges of the complete octahedron. cutoff (optional): Number of layers cut at each vertex. latticeconstant (optional): The lattice constant. If not given, then it is extracted form ase.data. alloy (optional): If true the L1_2 structure is used. Default is False. """ # Check length and cutoff if length < 2: raise ValueError("The lenght must be greater than one.") if cutoff < 0 or length < 2 * cutoff + 1: raise ValueError("The cutoff must fullfill: > 0 and <= (length - 1) / 2.") # Create cluster surfaces = [(1,1,1), (1,0,0)] if length % 2 == 0: center = np.array([0.5, 0.5, 0.5]) layers = [length/2, length - 1 - cutoff] else: center = np.array([0.0, 0.0, 0.0]) layers = [(length - 1)/2, length - 1 - cutoff] if not alloy: return FaceCenteredCubic(symbol, surfaces, layers, latticeconstant, center) else: return L1_2(symbol, surfaces, layers, latticeconstant, center) python-ase-3.6.0.2515/ase/cluster/data/0000755000175400017540000000000011757245034016352 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/cluster/data/__init__.py0000644000175400017540000000035711374446650020472 0ustar askhlaskhlfrom ase.data import atomic_numbers, chemical_symbols, reference_states from ase.units import * import fcc import hcp import au lattice = {'fcc': fcc.data, 'hcp': hcp.data, } element = {79: au.data, #Au } python-ase-3.6.0.2515/ase/cluster/data/fcc.py0000644000175400017540000002404411401652206017450 0ustar askhlaskhl"""Lattice data - Face Centered Cubic""" import numpy as np from math import sqrt from symmetry import * #Definition of symmetries basesymmetries = [np.matrix([[-1, 0, 0], #Mirror x-axis [0, 1, 0], [0, 0, 1]]), np.matrix([[1, 0, 0], #Mirror y-axis [0, -1, 0], [0, 0, 1]]), np.matrix([[1, 0, 0], #Mirror z-axis [0, 1, 0], [0, 0, -1]]), np.matrix([[1, 0, 0], #Rotation x-axis (4-fold) [0, 0, -1], [0, 1, 0]]), np.matrix([[0, 0, -1], #Rotation y-axis (4-fold) [0, 1, 0], [1, 0, 0]]), np.matrix([[0, 1, 0], #Rotation z-axis (4-fold) [-1, 0, 0], [0, 0, 1]]), np.matrix([[0, 0, 1], #Rotation (111)-axis (3-fold) [1, 0, 0], [0, 1, 0]]), np.matrix([[0, 0, -1], #Rotation (11-1)-axis (3-fold) [1, 0, 0], [0, -1, 0]]), np.matrix([[0, 0, 1], #Rotation (1-11)-axis (3-fold) [-1, 0, 0], [0, -1, 0]]), np.matrix([[0, 0, -1], #Rotation (-111)-axis (3-fold) [-1, 0, 0], [0, 1, 0]])] symmetries = get_all_symmetries(basesymmetries, 48) #Definition of used surfaces surface_names = [(1,0,0), (-1,0,0), (0,1,0), (0,-1,0), (0,0,1), (0,0,-1), (1,1,0), (-1,-1,0), (1,0,1), (-1,0,-1), (0,1,1), (0,-1,-1), (1,-1,0), (-1,1,0), (1,0,-1), (-1,0,1), (0,1,-1), (0,-1,1), (1,1,1), (-1,-1,-1), (-1,1,1), (1,-1,-1), (1,-1,1), (-1,1,-1), (1,1,-1), (-1,-1,1)] surface_numbers = {} for i, s in enumerate(surface_names): surface_numbers[s] = i surface_count = len(surface_names) surface_mapping = {0: 1, 1: 0, 2: 3, 3: 2, 4: 5, 5: 4, 6: 7, 7: 6, 8: 9, 9: 8, 10: 11, 11: 10, 12: 13, 13: 12, 14: 15, 15: 14, 16: 17, 17: 16, 18: 19, 19: 18, 20: 21, 21: 20, 22: 23, 23: 22, 24: 25, 25: 24} surface_data = ([{'l': 1.0, 'd': 0.5}] * 6 + [{'l': 1.5, 'd': 1.0 / 4.0}] * 12 + [{'l': 1.0, 'd': 1.0 / 3.0}] * 8) surface_symmetries = get_surface_symmetries(symmetries, surface_names, surface_numbers) def surface_fitting(surfaces): for i, n1 in enumerate(np.array(surface_names)): d1 = surface_data[i]['d'] a1 = surfaces[i] * d1 for j, n2 in enumerate(np.array(surface_names)): d2 = surface_data[j]['d'] a2 = surfaces[j] * d2 nd = np.dot(n1, n2) / (np.linalg.norm(n1) * np.linalg.norm(n2)) if a2 * nd > a1: surfaces[j] = int(round(a1 / (nd * d2))) return surfaces def surface_centering(surfaces, basis='100', debug=0): if basis == '100': #Centering within the basis {[1,0,0], [0,1,0], [0,0,1]} dx = (surfaces[0] - surfaces[1]) // 2 dy = (surfaces[2] - surfaces[3]) // 2 dz = (surfaces[4] - surfaces[5]) // 2 if (dx + dy + dz) % 2 == 1: dx -= 1 if debug: print '(%i, %i, %i)' % (dx, dy, dz) elif basis == '110': #Centering within the basis {[1,1,0], [1,0,1], [0,1,1]} dl1 = ((surfaces[6] - surfaces[7]) // 4) * 2 dl2 = ((surfaces[8] - surfaces[9]) // 4) * 2 dl3 = ((surfaces[10] - surfaces[11]) // 4) * 2 #Correction for the none orthogonality of the basis t1 = (dl1 != 0 and dl2 != 0 and dl3 == 0) t2 = (dl1 != 0 and dl2 == 0 and dl3 != 0) t3 = (dl1 != 0 and dl2 == 0 and dl3 != 0) if t1 or t2 or t3: d1 = (3 * dl1) // 2 - dl2 // 2 - dl3 // 2 d2 = (3 * dl2) // 2 - dl1 // 2 - dl3 // 2 d3 = (3 * dl3) // 2 - dl1 // 2 - dl2 // 2 else: d1, d2, d3 = 0, 0, 0 #Converting to '100' basis dx = (d1 + d2) // 2 dy = (d1 + d3) // 2 dz = (d2 + d3) // 2 if debug: print ('(%i, %i, %i) -> (%i, %i, %i) -> (%i, %i, %i)' % (dl1, dl2, dl3, d1, d2, d3, dx, dy, dz)) else: dx, dy, dz = 0 s = np.array(surfaces, int) ds = np.array([- dx, dx, - dy, dy, - dz, dz, - dx - dy, dx + dy, - dx - dz, dx + dz, - dy - dz, dy + dz, - dx + dy, dx - dy, - dx + dz, dx - dz, - dy + dz, dy - dz, (-dx - dy - dz) // 2, (dx + dy + dz) // 2, (dx - dy - dz) // 2, (-dx + dy + dz) // 2, (-dx + dy - dz) // 2, (dx - dy + dz) // 2, (-dx - dy + dz) // 2, (dx + dy - dz) // 2], int) if (s + ds >= 0).all(): surfaces = s + ds return surfaces #Definition of the neighbor environment neighbor_names = [(0.5, 0.5, 0), (-0.5, -0.5, 0), (0.5, 0, 0.5), (-0.5, 0, -0.5), (0, 0.5, 0.5), (0, -0.5, -0.5), (0.5, -0.5, 0), (-0.5, 0.5, 0), (0.5, 0, -0.5), (-0.5, 0, 0.5), (0, 0.5, -0.5), (0, -0.5, 0.5)] neighbor_numbers = {} for i, n in enumerate(neighbor_names): neighbor_numbers[n] = i neighbor_positions = np.array(neighbor_names, dtype=float) neighbor_cutoff = 0.8 neighbor_count = 12 neighbor_mapping = {0: 1, 1: 0, 2: 3, 3: 2, 4: 5, 5: 4, 6: 7, 7: 6, 8: 9, 9: 8, 10: 11, 11: 10} neighbor_symmetries = get_neighbor_symmetries(symmetries, neighbor_positions, neighbor_numbers) #Definition of the atom types that is used based on the neighborlist basetype_names = [(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), (1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), (0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1), (0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1), (0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), (0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1), (0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1), (0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1), (0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1), (0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0), (1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0), (0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0), (1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0), (0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1), (1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1), (0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1), ] basetype_data = [{'type': 0, 'coordination': 0, 'name': 'Free atom, Unknown'}, {'type': 1, 'coordination': 12, 'name': 'bulk'}, {'type': 2, 'coordination': 8, 'name': '100 surface'}, {'type': 3, 'coordination': 7, 'name': '110 surface (top), 111-111 edge, 110-111 edge'}, {'type': 4, 'coordination': 11, 'name': '110 surface (bottom)'}, {'type': 5, 'coordination': 9, 'name': '111 surface'}, {'type': 6, 'coordination': 6, 'name': '100-110 edge'}, {'type': 7, 'coordination': 7, 'name': '100-111 edge'}, {'type': 8, 'coordination': 6, 'name': '111-111-100 corner'}, {'type': 9, 'coordination': 4, 'name': '100 surface ad-atom'}, {'type': 10, 'coordination': 5, 'name': '110 surface ad-atom (bottom), A5 site'}, {'type': 11, 'coordination': 3, 'name': '111 surface ad-atom'}, {'type': 12, 'coordination': 9, 'name': '100 surface with ad-atom'}, {'type': 13, 'coordination': 8, 'name': '110 surface with ad-atom'}, {'type': 14, 'coordination': 10, 'name': '111 surface with ad-atom'}, {'type': 15, 'coordination': 5, 'name': 'B5 site'}, ] type_count = len(basetype_names) type_names = [] type_data = [] for i, n in enumerate(basetype_names): type_names.append(n) type_data.append(basetype_data[i]) for sym in neighbor_symmetries: new_type = apply_neighbor_symmetry(n, sym) if not new_type in type_names: type_names.append(new_type) type_data.append(basetype_data[i]) type_numbers = {} for i, n in enumerate(type_names): type_numbers[n] = i data = {'symmetries': symmetries, 'surface_names': surface_names, 'surface_numbers': surface_numbers, 'surface_data': surface_data, 'surface_count': surface_count, 'surface_mapping': surface_mapping, 'surface_symmetries': surface_symmetries, 'neighbor_positions': neighbor_positions, 'neighbor_numbers': neighbor_numbers, 'neighbor_count': neighbor_count, 'neighbor_cutoff': neighbor_cutoff, 'neighbor_mapping': neighbor_mapping, 'neighbor_symmetries': neighbor_symmetries, 'type_names': type_names, 'type_numbers': type_numbers, 'type_data': type_data, 'type_count': type_count, } python-ase-3.6.0.2515/ase/cluster/data/hcp.py0000644000175400017540000001027111374446650017501 0ustar askhlaskhl"""Structure data - Hexagonal Closed Packed""" import numpy as np from math import sqrt from symmetry import * #Definition of symmetries (in hcp basis) basesymmetries = [np.matrix([[1, 0, 0], #Mirror y-axis [0, 1, 0], [0, 0, -1]]), np.matrix([[0, 1, 0], #Rotation z-axix (3-fold) [-1, -1, 0], [0, 0, 1]]), np.matrix([[1, 0, 0], #Rotation a-axis (2-fold) [-1, -1, 0], [0, 0, -1]]), np.matrix([[-1, -1, 0], #Rotation b-axis (2-fold) [0, 1, 0], [0, 0, -1]]), np.matrix([[0, 1, 0], #Rotation ab-axis (2-fold) [1, 0, 0], [0, 0, -1]]), ] symmetries = get_all_symmetries(basesymmetries, 12) #Definition of surfaces surface_names = [(0,0,1), (0,0,-1), #(001) (1,-1,0), (-1,1,0), # (2,1,0), (-2,-1,0), (1,2,0), (-1,-2,0), (5,-5,3), (5,-5,-3), # (-5,5,3), (-5,5,-3), (5,10,3), (5,10,-3), (10,5,3), (10,5,-3), (-5,-10,3), (-5,-10,-3), (-10,-5,3), (-10,-5,-3), ] surface_numbers = {} for i, s in enumerate(surface_names): surface_numbers[s] = i surface_count = len(surface_names) surface_mapping = {0:1, 1:0, 2:3, 3:2, 4:5, 5:4, 6:7, 7:6, } surface_data = ([{'d': 0.5}] * 2 + [{'d': 0.5}] * 6 + [{'d': 1.0/13.0}] * 12) surface_symmetries = get_surface_symmetries(symmetries, surface_names, surface_numbers) #Definition of neighbor environment neighbor_names = [(1,0,0), (-1,0,0), (0,1,0), (0,-1,0), (1,1,0), (-1,-1,0), (1.0/3.0,2.0/3.0,1.0/2.0), (1.0/3.0,-1.0/3.0,1.0/2.0), (-2.0/3.0,-1.0/3.0,1.0/2.0), (1.0/3.0,2.0/3.0,-1.0/2.0), (1.0/3.0,-1.0/3.0,-1.0/2.0), (-2.0/3.0,-1.0/3.0,-1.0/2.0), (2.0/3.0,1.0/3.0,1.0/2.0), (-1.0/3.0,-2.0/3.0,1.0/2.0), (-1.0/3.0,1.0/3.0,1.0/2.0), (2.0/3.0,1.0/3.0,-1.0/2.0), (-1.0/3.0,-2.0/3.0,-1.0/2.0), (-1.0/3.0,1.0/3.0,-1.0/2.0), ] neighbor_numbers = {} for i, n in enumerate(neighbor_names): neighbor_numbers[n] = i neighbor_positions = np.array(neighbor_names, dtype=float) neighbor_cutoff = 1.2 neighbor_count = 16 neighbor_mapping = {0:1, 1:0, 2:3, 3:2, 4:5, 5:4, 6:16, 7:17, 8:15, 9:13, 10:14, 11:12, 12:11, 13:9, 14:10, 15:8, 16:6, 17:7, } neighbor_symmetries = get_neighbor_symmetries(symmetries, neighbor_positions, neighbor_numbers) #Definition of the atom types that is used based on the neighborlist basetype_names = [] basetype_data = [] type_count = len(basetype_names) type_names = [] type_data = [] for i, n in enumerate(basetype_names): type_names.append(n) type_data.append(basetype_data[i]) for sym in neighbor_symmetries: new_type = apply_neighbor_symmetry(n, sym) if not new_type in type_names: type_names.append(new_type) type_data.append(basetype_data[i]) type_numbers = {} for i, n in enumerate(type_names): type_numbers[n] = i #Collect all data data = {'symmetries': symmetries, 'surface_names': surface_names, 'surface_numbers': surface_numbers, 'surface_data': surface_data, 'surface_count': surface_count, 'surface_mapping': surface_mapping, 'surface_symmetries': surface_symmetries, 'neighbor_positions': neighbor_positions, 'neighbor_numbers': neighbor_numbers, 'neighbor_count': neighbor_count, 'neighbor_cutoff': neighbor_cutoff, 'neighbor_mapping': neighbor_mapping, 'neighbor_symmetries': neighbor_symmetries, 'type_names': type_names, 'type_numbers': type_numbers, 'type_data': type_data, 'type_count': type_count, } python-ase-3.6.0.2515/ase/cluster/data/au.py0000644000175400017540000000124111326132263017316 0ustar askhlaskhl"""Element data - 79 Au Gold""" name = 'Gold' symbol = 'Au' symmetry = 'fcc' energy_slope = -0.090 energy_intersection = -1.537 energy_types = {1: -2.618, #bulk 2: -2.237, #100 surface 3: -2.343, #110 surface (top) or 111-111 edge 4: -2.369, #110 surface (bottom) 5: -2.352, #111 surface 6: -2.028, #100-110 edge 7: -2.215, #100-111 edge } data = {'name': name, 'symbol': symbol, 'symmetry': symmetry, 'energy_slope': energy_slope, 'energy_intersection': energy_intersection, 'energy_types': energy_types, } python-ase-3.6.0.2515/ase/cluster/data/symmetry.py0000644000175400017540000000540411326132263020607 0ustar askhlaskhlfrom fcc import * import numpy as np def get_all_symmetries(symmetries=None, max=99): if symmetries is None: raise Warning('Some unique symmetries are needed to start.') symmetries_all = symmetries[:] for i, l in enumerate(symmetries): for j, m, in enumerate(symmetries): if len(symmetries_all) == max: break v = l * m exist = False for w in symmetries_all: if (v == w).all(): exist = True break if not exist: #print 'New added: %i x %i' % (i, j) symmetries_all.append(v) for i, l in enumerate(symmetries): for j, m, in enumerate(symmetries): for k, n in enumerate(symmetries): if len(symmetries_all) == max: break v = l * m * n exist = False for w in symmetries_all: if (v == w).all(): exist = True break if not exist: #print 'New added: %i x %i x %i' % (i, j, k) symmetries_all.append(v) #print 'There are %i symmetry operations.' % len(symmetries_all) return symmetries_all def get_neighbor_symmetries(symmetries=None, neighbor_positions=None, neighbor_numbers=None): if symmetries is None or neighbor_positions is None or neighbor_numbers is None: raise Warning('Both symmetries, positions and numbers for the neighbors are needed.') neighbor_symmetries = [] for s in symmetries: neighbor_symmetry = [] for p in neighbor_positions: new_p = np.array(np.matrix(p) * s) neighbor_symmetry.append(neighbor_numbers[tuple(new_p[0])]) neighbor_symmetries.append(neighbor_symmetry) return neighbor_symmetries def get_surface_symmetries(symmetries=None, surface_names=None, surface_numbers=None): if symmetries is None or surface_names is None or surface_numbers is None: raise Warning('Both symmetries, names and numbers for the surfaces are needed.') surface_symmetries = [] for sym in symmetries: surface_symmetry = [] for s in surface_names: ns = np.array(np.matrix(s) * sym) surface_symmetry.append(surface_numbers[tuple(ns[0])]) surface_symmetries.append(surface_symmetry) return np.array(surface_symmetries, int) def apply_neighbor_symmetry(neighbors=None, symmetry=None): if neighbors is None or symmetry is None: raise Warning('Both neighbor list and symmetry list are needed.') new_neighbors = [0] * len(symmetry) for i, n in enumerate(symmetry): new_neighbors[i] = neighbors[n] return tuple(new_neighbors) python-ase-3.6.0.2515/ase/cluster/base.py0000644000175400017540000000366111527425577016742 0ustar askhlaskhlimport numpy as np class ClusterBase: def get_layer_distance(self, miller, layers=1): """Returns the distance between planes defined by the given miller index. """ n = self.miller_to_direction(miller) d1 = d2 = 0.0 d = np.abs(np.sum(n * self.lattice_basis, axis=1)) mask = np.greater(d, 1e-10) if mask.sum() > 0: d1 = np.min(d[mask]) if len(self.atomic_basis) > 1: atomic_basis = np.dot(self.atomic_basis, self.lattice_basis) d = np.sum(n * atomic_basis, axis=1) s = np.sign(d) d = np.abs(d) mask = np.greater(d, 1e-10) if mask.sum() > 0: d2 = np.min(d[mask]) s2 = s[mask][np.argmin(d[mask])] if d2 > 1e-10: if s2 < 0 and d1 - d2 > 1e-10: d2 = d1 - d2 elif s2 < 0 and d2 - d1 > 1e-10: d2 = 2 * d1 - d2 elif s2 > 0 and d2 - d1 > 1e-10: d2 = d2 - d1 if np.abs(d1 - d2) < 1e-10: ld = np.array([d1]) elif np.abs(d1 - 2 * d2) < 1e-10: ld = np.array([d2]) else: assert d1 > d2, "Something is wrong with the layer distance." ld = np.array([d2, d1 - d2]) else: ld = np.array([d1]) if len(ld) > 1: if layers < 0: ld = np.array([-ld[1], -ld[0]]) layers *= -1 map = np.arange(layers - (layers % 1), dtype=int) % len(ld) r = ld[map].sum() + (layers % 1) * ld[np.abs(map[-1] - 1)] else: r = ld[0] * layers return r def miller_to_direction(self, miller, norm=True): """Returns the direction corresponding to a given Miller index.""" d = np.dot(miller, self.resiproc_basis) if norm: d = d / np.linalg.norm(d) return d python-ase-3.6.0.2515/ase/cluster/hexagonal.py0000644000175400017540000000526711652200253017757 0ustar askhlaskhl""" Function-like objects that creates cubic clusters. """ import numpy as np from ase.cluster.factory import ClusterFactory from ase.data import reference_states as _refstate class HexagonalFactory(ClusterFactory): spacegroup = 191 xtal_name = 'hexagonal' def get_lattice_constant(self, latticeconstant): "Get the lattice constant of an element with cubic crystal structure." symmetry = _refstate[self.atomic_numbers[0]]['symmetry'] if symmetry != self.xtal_name: raise ValueError, ("Cannot guess the %s " % (self.xtal_name,) + "lattice constant of an element with crystal " + "structure %s." % (symmetry,)) return _refstate[self.atomic_numbers[0]].copy() def set_basis(self): lattice = self.lattice_constant if isinstance(lattice, dict): a = lattice['a'] try: c = lattice['c'] except KeyError: c = a * lattice['c/a'] else: if len(lattice) == 2: (a, c) = lattice else: raise ValueError("Improper lattice constants for %s crystal." % (self.xtal_name,)) self.lattice_constant = (a, c) self.lattice_basis = np.array([[a, 0., 0.], [-a/2., a*np.sqrt(3.)/2., 0.], [0., 0., c]]) self.resiproc_basis = self.get_resiproc_basis(self.lattice_basis) def set_surfaces_layers(self, surfaces, layers): for i, s in enumerate(surfaces): if len(s) == 4: (a, b, c, d) = s if a + b + c != 0: raise ValueError(("(%d,%d,%d,%d) is not a valid hexagonal Miller " + "index, as the sum of the first three numbers " + "should be zero.") % (a,b,c,d)) surfaces[i] = [a, b, d] ClusterFactory.set_surfaces_layers(self, surfaces, layers) Hexagonal = HexagonalFactory() class HexagonalClosedPackedFactory(HexagonalFactory): """A factory for creating HCP clusters.""" spacegroup = 194 xtal_name = 'hcp' atomic_basis = np.array([[0., 0., 0.], [2./3., 1./3., .5]]) HexagonalClosedPacked = HexagonalClosedPackedFactory() class GraphiteFactory(HexagonalFactory): """A factory for creating graphite clusters.""" xtal_name = "graphite" atomic_basis = np.array([[0., 0., 0.], [1./3., 2./3., 0.], [1./3., 2./3., .5], [2./3., 1./3., .5]]) Graphite = GraphiteFactory() python-ase-3.6.0.2515/ase/cluster/icosahedron.py0000644000175400017540000001043111631137252020301 0ustar askhlaskhlimport numpy as np from ase import Atoms from ase.data import atomic_numbers, reference_states def Icosahedron(symbol, noshells, latticeconstant=None): """ Returns a cluster with the icosahedra symmetry. Parameters ---------- symbol: The chemical symbol (or atomic number) of the element. noshells: The number of shells (>= 1). latticeconstant (optional): The lattice constant. If not given, then it is extracted form ase.data. """ # Interpret symbol if isinstance(symbol, str): atomic_number = atomic_numbers[symbol] else: atomic_number = symbol # Interpret noshells if noshells < 1: raise ValueError("The number of shells must be equal to or greater than one.") # Interpret lattice constant if latticeconstant is None: if reference_states[atomic_number]['symmetry'] in ['fcc', 'bcc', 'sc']: lattice_constant = reference_states[atomic_number]['a'] else: raise NotImplementedError(("Cannot guess lattice constant of a %s element." % (reference_states[atomic_number]['symmetry'],))) else: if isinstance(latticeconstant, (int, float)): lattice_constant = latticeconstant else: raise ValueError("Lattice constant must be of type int or float.") t = 0.5 + np.sqrt(5)/2.0 verticies = np.array([[t, 0., 1.], [t, 0., -1.], [-t, 0., 1.], [-t, 0., -1.], [1., t, 0.], [-1., t, 0.], [1., -t, 0.], [-1., -t, 0.], [0., 1., t], [0., -1., t], [0., 1., -t], [0., -1., -t]]) positions = [] tags = [] positions.append(np.zeros(3)) tags.append(1) for n in range(1, noshells): #Construct square edges (6) for k in range(0, 12, 2): v1 = verticies[k] v2 = verticies[k+1] for i in range(n+1): pos = i*v1 + (n-i)*v2 positions.append(pos) tags.append(n + 1) #Construct triangle planes (12) if n > 1: map = {0: (8, 9), 1: (10, 11), 2: (8, 9), 3: (10, 11), 4: (0, 1), 5: (2, 3), 6: (0, 1), 7: (2, 3), 8: (4, 5), 9: (6, 7), 10: (4, 5), 11: (6, 7)} for k in range(0, 12): v0 = n*verticies[k] v1 = (verticies[map[k][0]] - verticies[k]) v2 = (verticies[map[k][1]] - verticies[k]) for i in range(n): for j in range(n-i): if i == 0 and j == 0: continue pos = v0 + i*v1 + j*v2 positions.append(pos) tags.append(n + 1) #Fill missing triangle planes (8) if n > 2: map = {0: (9, 6, 8, 4,), 1: (11, 6, 10, 4), 2: (9, 7, 8, 5,), 3: (11, 7, 10, 5)} for k in range(0, 4): v0 = n*verticies[k] v1 = (verticies[map[k][0]] - verticies[k]) v2 = (verticies[map[k][1]] - verticies[k]) v3 = (verticies[map[k][2]] - verticies[k]) v4 = (verticies[map[k][3]] - verticies[k]) for i in range(1, n): for j in range(1, n-i): pos = v0 + i*v1 + j*v2 positions.append(pos) tags.append(n + 1) pos = v0 + i*v3 + j*v4 positions.append(pos) tags.append(n + 1) # Scale the positions scaling_factor = lattice_constant / np.sqrt(2*(1 + t**2)) positions = np.array(positions) * scaling_factor # Fit the cell, so it only just consist the atoms min = positions.min(axis=0) max = positions.max(axis=0) cell = max - min positions = positions - min symbols = [atomic_number] * len(positions) return Atoms(symbols=symbols, positions=positions, tags=tags, cell=cell) python-ase-3.6.0.2515/ase/cluster/cubic.py0000644000175400017540000000327711700335744017105 0ustar askhlaskhl""" Function-like objects that creates cubic clusters. """ import numpy as np from ase.data import reference_states as _refstate from ase.cluster.factory import ClusterFactory class SimpleCubicFactory(ClusterFactory): spacegroup = 221 xtal_name = 'sc' def get_lattice_constant(self): "Get the lattice constant of an element with cubic crystal structure." symmetry = _refstate[self.atomic_numbers[0]]['symmetry'] if symmetry != self.xtal_name: raise ValueError, ("Cannot guess the %s " % (self.xtal_name,) + "lattice constant of an element with crystal " + "structure %s." % (symmetry,)) return _refstate[self.atomic_numbers[0]]['a'] def set_basis(self): a = self.lattice_constant if not isinstance(a, (int, float)): raise ValueError("Improper lattice constant for %s crystal." % (xtal_name,)) self.lattice_basis = np.array([[a, 0., 0.], [0., a, 0.], [0., 0., a]]) self.resiproc_basis = self.get_resiproc_basis(self.lattice_basis) SimpleCubic = SimpleCubicFactory() class BodyCenteredCubicFactory(SimpleCubicFactory): xtal_name = 'bcc' atomic_basis = np.array([[0., 0., 0.], [.5, .5, .5]]) BodyCenteredCubic = BodyCenteredCubicFactory() class FaceCenteredCubicFactory(SimpleCubicFactory): xtal_name = 'fcc' atomic_basis = np.array([[0., 0., 0.], [0., .5, .5], [.5, 0., .5], [.5, .5, 0.]]) FaceCenteredCubic = FaceCenteredCubicFactory() python-ase-3.6.0.2515/ase/atoms.py0000644000175400017540000014425011712217646015462 0ustar askhlaskhl# Copyright 2008, 2009 CAMd # (see accompanying license files for details). """Definition of the Atoms class. This module defines the central object in the ASE package: the Atoms object. """ from math import cos, sin import numpy as np from ase.atom import Atom from ase.data import atomic_numbers, chemical_symbols, atomic_masses import ase.units as units class Atoms(object): """Atoms object. The Atoms object can represent an isolated molecule, or a periodically repeated structure. It has a unit cell and there may be periodic boundary conditions along any of the three unit cell axes. Information about the atoms (atomic numbers and position) is stored in ndarrays. Optionally, there can be information about tags, momenta, masses, magnetic moments and charges. In order to calculate energies, forces and stresses, a calculator object has to attached to the atoms object. Parameters: symbols: str (formula) or list of str Can be a string formula, a list of symbols or a list of Atom objects. Examples: 'H2O', 'COPt12', ['H', 'H', 'O'], [Atom('Ne', (x, y, z)), ...]. positions: list of xyz-positions Atomic positions. Anything that can be converted to an ndarray of shape (n, 3) will do: [(x1,y1,z1), (x2,y2,z2), ...]. scaled_positions: list of scaled-positions Like positions, but given in units of the unit cell. Can not be set at the same time as positions. numbers: list of int Atomic numbers (use only one of symbols/numbers). tags: list of int Special purpose tags. momenta: list of xyz-momenta Momenta for all atoms. masses: list of float Atomic masses in atomic units. magmoms: list of float or list of xyz-values Magnetic moments. Can be either a single value for each atom for collinear calculations or three numbers for each atom for non-collinear calculations. charges: list of float Atomic charges. cell: 3x3 matrix Unit cell vectors. Can also be given as just three numbers for orthorhombic cells. Default value: [1, 1, 1]. pbc: one or three bool Periodic boundary conditions flags. Examples: True, False, 0, 1, (1, 1, 0), (True, False, False). Default value: False. constraint: constraint object(s) Used for applying one or more constraints during structure optimization. calculator: calculator object Used to attach a calculator for calculating energies and atomic forces. info: dict of key-value pairs Dictionary of key-value pairs with additional information about the system. The following keys may be used by ase: - spacegroup: Spacegroup instance - unit_cell: 'conventional' | 'primitive' | int | 3 ints - adsorbate_info: Items in the info attribute survives copy and slicing and can be store to and retrieved from trajectory files given that the key is a string, the value is picklable and, if the value is a user-defined object, its base class is importable. One should not make any assumptions about the existence of keys. Examples: These three are equivalent: >>> d = 1.104 # N2 bondlength >>> a = Atoms('N2', [(0, 0, 0), (0, 0, d)]) >>> a = Atoms(numbers=[7, 7], positions=[(0, 0, 0), (0, 0, d)]) >>> a = Atoms([Atom('N', (0, 0, 0)), Atom('N', (0, 0, d)]) FCC gold: >>> a = 4.05 # Gold lattice constant >>> b = a / 2 >>> fcc = Atoms('Au', ... cell=[(0, b, b), (b, 0, b), (b, b, 0)], ... pbc=True) Hydrogen wire: >>> d = 0.9 # H-H distance >>> L = 7.0 >>> h = Atoms('H', positions=[(0, L / 2, L / 2)], ... cell=(d, L, L), ... pbc=(1, 0, 0)) """ def __init__(self, symbols=None, positions=None, numbers=None, tags=None, momenta=None, masses=None, magmoms=None, charges=None, scaled_positions=None, cell=None, pbc=None, constraint=None, calculator=None, info=None): atoms = None if hasattr(symbols, 'GetUnitCell'): from ase.old import OldASEListOfAtomsWrapper atoms = OldASEListOfAtomsWrapper(symbols) symbols = None elif hasattr(symbols, 'get_positions'): atoms = symbols symbols = None elif (isinstance(symbols, (list, tuple)) and len(symbols) > 0 and isinstance(symbols[0], Atom)): # Get data from a list or tuple of Atom objects: data = [[atom.get_raw(name) for atom in symbols] for name in ['position', 'number', 'tag', 'momentum', 'mass', 'magmom', 'charge']] atoms = self.__class__(None, *data) symbols = None if atoms is not None: # Get data from another Atoms object: if scaled_positions is not None: raise NotImplementedError if symbols is None and numbers is None: numbers = atoms.get_atomic_numbers() if positions is None: positions = atoms.get_positions() if tags is None and atoms.has('tags'): tags = atoms.get_tags() if momenta is None and atoms.has('momenta'): momenta = atoms.get_momenta() if magmoms is None and atoms.has('magmoms'): magmoms = atoms.get_initial_magnetic_moments() if masses is None and atoms.has('masses'): masses = atoms.get_masses() if charges is None and atoms.has('charges'): charges = atoms.get_charges() if cell is None: cell = atoms.get_cell() if pbc is None: pbc = atoms.get_pbc() if constraint is None: constraint = [c.copy() for c in atoms.constraints] if calculator is None: calculator = atoms.get_calculator() self.arrays = {} if symbols is None: if numbers is None: if positions is not None: natoms = len(positions) elif scaled_positions is not None: natoms = len(scaled_positions) else: natoms = 0 numbers = np.zeros(natoms, int) self.new_array('numbers', numbers, int) else: if numbers is not None: raise ValueError( 'Use only one of "symbols" and "numbers".') else: self.new_array('numbers', symbols2numbers(symbols), int) if cell is None: cell = np.eye(3) self.set_cell(cell) if positions is None: if scaled_positions is None: positions = np.zeros((len(self.arrays['numbers']), 3)) else: positions = np.dot(scaled_positions, self._cell) else: if scaled_positions is not None: raise RuntimeError('Both scaled and cartesian positions set!') self.new_array('positions', positions, float, (3,)) self.set_constraint(constraint) self.set_tags(default(tags, 0)) self.set_momenta(default(momenta, (0.0, 0.0, 0.0))) self.set_masses(default(masses, None)) self.set_initial_magnetic_moments(default(magmoms, 0.0)) self.set_charges(default(charges, 0.0)) if pbc is None: pbc = False self.set_pbc(pbc) if info is None: self.info = {} else: self.info = dict(info) self.adsorbate_info = {} self.set_calculator(calculator) def set_calculator(self, calc=None): """Attach calculator object.""" if hasattr(calc, '_SetListOfAtoms'): from ase.old import OldASECalculatorWrapper calc = OldASECalculatorWrapper(calc, self) if hasattr(calc, 'set_atoms'): calc.set_atoms(self) self._calc = calc def get_calculator(self): """Get currently attached calculator object.""" return self._calc def _del_calculator(self): self._calc = None calc = property(get_calculator, set_calculator, _del_calculator, doc='Calculator object.') def set_constraint(self, constraint=None): """Apply one or more constrains. The *constraint* argument must be one constraint object or a list of constraint objects.""" if constraint is None: self._constraints = [] else: if isinstance(constraint, (list, tuple)): self._constraints = constraint else: self._constraints = [constraint] def _get_constraints(self): return self._constraints def _del_constraints(self): self._constraints = [] constraints = property(_get_constraints, set_constraint, _del_constraints, 'Constraints of the atoms.') def set_cell(self, cell, scale_atoms=False, fix=None): """Set unit cell vectors. Parameters: cell : Unit cell. A 3x3 matrix (the three unit cell vectors) or just three numbers for an orthorhombic cell. scale_atoms : bool Fix atomic positions or move atoms with the unit cell? Default behavior is to *not* move the atoms (scale_atoms=False). Examples: Two equivalent ways to define an orthorhombic cell: >>> a.set_cell([a, b, c]) >>> a.set_cell([(a, 0, 0), (0, b, 0), (0, 0, c)]) FCC unit cell: >>> a.set_cell([(0, b, b), (b, 0, b), (b, b, 0)]) """ if fix is not None: raise TypeError('Please use scale_atoms=%s' % (not fix)) cell = np.array(cell, float) if cell.shape == (3,): cell = np.diag(cell) elif cell.shape != (3, 3): raise ValueError('Cell must be length 3 sequence or ' '3x3 matrix!') if scale_atoms: M = np.linalg.solve(self._cell, cell) self.arrays['positions'][:] = np.dot(self.arrays['positions'], M) self._cell = cell def get_cell(self): """Get the three unit cell vectors as a 3x3 ndarray.""" return self._cell.copy() def get_reciprocal_cell(self): """Get the three reciprocal lattice vectors as a 3x3 ndarray. Note that the commonly used factor of 2 pi for Fourier transforms is not included here.""" rec_unit_cell = np.linalg.inv(self.get_cell()).transpose() return rec_unit_cell def set_pbc(self, pbc): """Set periodic boundary condition flags.""" if isinstance(pbc, int): pbc = (pbc,) * 3 self._pbc = np.array(pbc, bool) def get_pbc(self): """Get periodic boundary condition flags.""" return self._pbc.copy() def new_array(self, name, a, dtype=None, shape=None): """Add new array. If *shape* is not *None*, the shape of *a* will be checked.""" if dtype is not None: a = np.array(a, dtype) else: a = a.copy() if name in self.arrays: raise RuntimeError for b in self.arrays.values(): if len(a) != len(b): raise ValueError('Array has wrong length: %d != %d.' % (len(a), len(b))) break if shape is not None and a.shape[1:] != shape: raise ValueError('Array has wrong shape %s != %s.' % (a.shape, (a.shape[0:1] + shape))) self.arrays[name] = a def get_array(self, name, copy=True): """Get an array. Returns a copy unless the optional argument copy is false. """ if copy: return self.arrays[name].copy() else: return self.arrays[name] def set_array(self, name, a, dtype=None, shape=None): """Update array. If *shape* is not *None*, the shape of *a* will be checked. If *a* is *None*, then the array is deleted.""" b = self.arrays.get(name) if b is None: if a is not None: self.new_array(name, a, dtype, shape) else: if a is None: del self.arrays[name] else: a = np.asarray(a) if a.shape != b.shape: raise ValueError('Array has wrong shape %s != %s.' % (a.shape, b.shape)) b[:] = a def has(self, name): """Check for existence of array. name must be one of: 'tags', 'momenta', 'masses', 'magmoms', 'charges'.""" return name in self.arrays def set_atomic_numbers(self, numbers): """Set atomic numbers.""" self.set_array('numbers', numbers, int, ()) def get_atomic_numbers(self): """Get integer array of atomic numbers.""" return self.arrays['numbers'].copy() def set_chemical_symbols(self, symbols): """Set chemical symbols.""" self.set_array('numbers', symbols2numbers(symbols), int, ()) def get_chemical_symbols(self, reduce=False): """Get list of chemical symbol strings. If reduce is True, a single string is returned, where repeated elements have been contracted to a single symbol and a number. E.g. instead of ['C', 'O', 'O', 'H'], the string 'CO2H' is returned. """ if not reduce: # XXX return [chemical_symbols[Z] for Z in self.arrays['numbers']] else: num = self.get_atomic_numbers() N = len(num) dis = np.concatenate(([0], np.arange(1, N)[num[1:] != num[:-1]])) repeat = np.append(dis[1:], N) - dis symbols = ''.join([chemical_symbols[num[d]] + str(r) * (r != 1) for r, d in zip(repeat, dis)]) return symbols def set_tags(self, tags): """Set tags for all atoms.""" self.set_array('tags', tags, int, ()) def get_tags(self): """Get integer array of tags.""" if 'tags' in self.arrays: return self.arrays['tags'].copy() else: return np.zeros(len(self), int) def set_momenta(self, momenta): """Set momenta.""" if len(self.constraints) > 0 and momenta is not None: momenta = np.array(momenta) # modify a copy for constraint in self.constraints: constraint.adjust_forces(self.arrays['positions'], momenta) self.set_array('momenta', momenta, float, (3,)) def set_velocities(self, velocities): """Set the momenta by specifying the velocities.""" self.set_momenta(self.get_masses()[:, np.newaxis] * velocities) def get_momenta(self): """Get array of momenta.""" if 'momenta' in self.arrays: return self.arrays['momenta'].copy() else: return np.zeros((len(self), 3)) def set_masses(self, masses='defaults'): """Set atomic masses. The array masses should contain a list of masses. In case the masses argument is not given or for those elements of the masses list that are None, standard values are set.""" if masses == 'defaults': masses = atomic_masses[self.arrays['numbers']] elif isinstance(masses, (list, tuple)): newmasses = [] for m, Z in zip(masses, self.arrays['numbers']): if m is None: newmasses.append(atomic_masses[Z]) else: newmasses.append(m) masses = newmasses self.set_array('masses', masses, float, ()) def get_masses(self): """Get array of masses.""" if 'masses' in self.arrays: return self.arrays['masses'].copy() else: return atomic_masses[self.arrays['numbers']] def set_initial_magnetic_moments(self, magmoms=None): """Set the initial magnetic moments. Use either one or three numbers for every atom (collinear or non-collinear spins).""" if magmoms is None: self.set_array('magmoms', None) else: magmoms = np.asarray(magmoms) self.set_array('magmoms', magmoms, float, magmoms.shape[1:]) def get_initial_magnetic_moments(self): """Get array of initial magnetic moments.""" if 'magmoms' in self.arrays: return self.arrays['magmoms'].copy() else: return np.zeros(len(self)) def get_magnetic_moments(self): """Get calculated local magnetic moments.""" if self._calc is None: raise RuntimeError('Atoms object has no calculator.') if self._calc.get_spin_polarized(): return self._calc.get_magnetic_moments(self) else: return np.zeros(len(self)) def get_magnetic_moment(self): """Get calculated total magnetic moment.""" if self._calc is None: raise RuntimeError('Atoms object has no calculator.') if self._calc.get_spin_polarized(): return self._calc.get_magnetic_moment(self) else: return 0.0 def set_charges(self, charges): """Set charges.""" self.set_array('charges', charges, float, ()) def get_charges(self): """Get array of charges.""" if 'charges' in self.arrays: return self.arrays['charges'].copy() else: return np.zeros(len(self)) def set_positions(self, newpositions): """Set positions.""" positions = self.arrays['positions'] if self.constraints: newpositions = np.asarray(newpositions, float) for constraint in self.constraints: constraint.adjust_positions(positions, newpositions) self.set_array('positions', newpositions, shape=(3,)) def get_positions(self): """Get array of positions.""" return self.arrays['positions'].copy() def get_calculation_done(self): """Let the calculator calculate its thing, using the current input. """ if self.calc is None: raise RuntimeError('Atoms object has no calculator.') self.calc.initialize(self) self.calc.calculate(self) def get_potential_energy(self): """Calculate potential energy.""" if self._calc is None: raise RuntimeError('Atoms object has no calculator.') return self._calc.get_potential_energy(self) def get_potential_energies(self): """Calculate the potential energies of all the atoms. Only available with calculators supporting per-atom energies (e.g. classical potentials). """ if self._calc is None: raise RuntimeError('Atoms object has no calculator.') return self._calc.get_potential_energies(self) def get_kinetic_energy(self): """Get the kinetic energy.""" momenta = self.arrays.get('momenta') if momenta is None: return 0.0 return 0.5 * np.vdot(momenta, self.get_velocities()) def get_velocities(self): """Get array of velocities.""" momenta = self.arrays.get('momenta') if momenta is None: return None m = self.arrays.get('masses') if m is None: m = atomic_masses[self.arrays['numbers']] return momenta / m.reshape(-1, 1) def get_total_energy(self): """Get the total energy - potential plus kinetic energy.""" return self.get_potential_energy() + self.get_kinetic_energy() def get_forces(self, apply_constraint=True): """Calculate atomic forces. Ask the attached calculator to calculate the forces and apply constraints. Use *apply_constraint=False* to get the raw forces.""" if self._calc is None: raise RuntimeError('Atoms object has no calculator.') forces = self._calc.get_forces(self) if apply_constraint: for constraint in self.constraints: constraint.adjust_forces(self.arrays['positions'], forces) return forces def get_stress(self): """Calculate stress tensor. Returns an array of the six independent components of the symmetric stress tensor, in the traditional order (s_xx, s_yy, s_zz, s_yz, s_xz, s_xy). """ if self._calc is None: raise RuntimeError('Atoms object has no calculator.') stress = self._calc.get_stress(self) shape = getattr(stress, 'shape', None) if shape == (3, 3): return np.array([stress[0, 0], stress[1, 1], stress[2, 2], stress[1, 2], stress[0, 2], stress[0, 1]]) else: # Hopefully a 6-vector, but don't check in case some weird # calculator does something else. return stress def get_stresses(self): """Calculate the stress-tensor of all the atoms. Only available with calculators supporting per-atom energies and stresses (e.g. classical potentials). Even for such calculators there is a certain arbitrariness in defining per-atom stresses. """ if self._calc is None: raise RuntimeError('Atoms object has no calculator.') return self._calc.get_stresses(self) def get_dipole_moment(self): """Calculate the electric dipole moment for the atoms object. Only available for calculators which has a get_dipole_moment() method.""" if self._calc is None: raise RuntimeError('Atoms object has no calculator.') try: dipole = self._calc.get_dipole_moment(self) except AttributeError: raise AttributeError( 'Calculator object has no get_dipole_moment method.') return dipole def copy(self): """Return a copy.""" import copy atoms = self.__class__(cell=self._cell, pbc=self._pbc, info=self.info) atoms.arrays = {} for name, a in self.arrays.items(): atoms.arrays[name] = a.copy() atoms.constraints = copy.deepcopy(self.constraints) atoms.adsorbate_info = copy.deepcopy(self.adsorbate_info) return atoms def __len__(self): return len(self.arrays['positions']) def get_number_of_atoms(self): """Returns the number of atoms. Equivalent to len(atoms) in the standard ASE Atoms class. """ return len(self) def __repr__(self): num = self.get_atomic_numbers() N = len(num) if N == 0: symbols = '' elif N <= 60: symbols = self.get_chemical_symbols(reduce=True) else: symbols = ''.join([chemical_symbols[Z] for Z in num[:15]]) + '...' s = "%s(symbols='%s', " % (self.__class__.__name__, symbols) for name in self.arrays: if name == 'numbers': continue s += '%s=..., ' % name if (self._cell - np.diag(self._cell.diagonal())).any(): s += 'cell=%s, ' % self._cell.tolist() else: s += 'cell=%s, ' % self._cell.diagonal().tolist() s += 'pbc=%s, ' % self._pbc.tolist() if len(self.constraints) == 1: s += 'constraint=%s, ' % repr(self.constraints[0]) if len(self.constraints) > 1: s += 'constraint=%s, ' % repr(self.constraints) if self._calc is not None: s += 'calculator=%s(...), ' % self._calc.__class__.__name__ return s[:-2] + ')' def __add__(self, other): atoms = self.copy() atoms += other return atoms def extend(self, other): """Extend atoms object by appending atoms from *other*.""" if isinstance(other, Atom): other = self.__class__([other]) n1 = len(self) n2 = len(other) for name, a1 in self.arrays.items(): a = np.zeros((n1 + n2,) + a1.shape[1:], a1.dtype) a[:n1] = a1 a2 = other.arrays.get(name) if a2 is not None: a[n1:] = a2 self.arrays[name] = a for name, a2 in other.arrays.items(): if name in self.arrays: continue a = np.empty((n1 + n2,) + a2.shape[1:], a2.dtype) a[n1:] = a2 if name == 'masses': a[:n1] = self.get_masses() else: a[:n1] = 0 self.set_array(name, a) return self __iadd__ = extend def append(self, atom): """Append atom to end.""" self.extend(self.__class__([atom])) def __getitem__(self, i): """Return a subset of the atoms. i -- scalar integer, list of integers, or slice object describing which atoms to return. If i is a scalar, return an Atom object. If i is a list or a slice, return an Atoms object with the same cell, pbc, and other associated info as the original Atoms object. The indices of the constraints will be shuffled so that they match the indexing in the subset returned. """ if isinstance(i, int): natoms = len(self) if i < -natoms or i >= natoms: raise IndexError('Index out of range.') return Atom(atoms=self, index=i) import copy from ase.constraints import FixConstraint atoms = self.__class__(cell=self._cell, pbc=self._pbc, info=self.info) # TODO: Do we need to shuffle indices in adsorbate_info too? atoms.adsorbate_info = self.adsorbate_info atoms.arrays = {} for name, a in self.arrays.items(): atoms.arrays[name] = a[i].copy() # Constraints need to be deepcopied, since we need to shuffle # the indices atoms.constraints = copy.deepcopy(self.constraints) condel = [] for con in atoms.constraints: if isinstance(con, FixConstraint): try: con.index_shuffle(i) except IndexError: condel.append(con) for con in condel: atoms.constraints.remove(con) return atoms def __delitem__(self, i): from ase.constraints import FixAtoms check_constraint = np.array([isinstance(c, FixAtoms) for c in self._constraints]) if len(self._constraints) > 0 and not check_constraint.all(): raise RuntimeError('Remove constraint using set_constraint() ' + 'before deleting atoms.') mask = np.ones(len(self), bool) mask[i] = False for name, a in self.arrays.items(): self.arrays[name] = a[mask] if len(self._constraints) > 0: for n in range(len(self._constraints)): self._constraints[n].delete_atom(range(len(mask))[i]) def pop(self, i=-1): """Remove and return atom at index *i* (default last).""" atom = self[i] atom.cut_reference_to_atoms() del self[i] return atom def __imul__(self, m): """In-place repeat of atoms.""" if isinstance(m, int): m = (m, m, m) M = np.product(m) n = len(self) for name, a in self.arrays.items(): self.arrays[name] = np.tile(a, (M,) + (1,) * (len(a.shape) - 1)) positions = self.arrays['positions'] i0 = 0 for m0 in range(m[0]): for m1 in range(m[1]): for m2 in range(m[2]): i1 = i0 + n positions[i0:i1] += np.dot((m0, m1, m2), self._cell) i0 = i1 if self.constraints is not None: self.constraints = [c.repeat(m, n) for c in self.constraints] self._cell = np.array([m[c] * self._cell[c] for c in range(3)]) return self def repeat(self, rep): """Create new repeated atoms object. The *rep* argument should be a sequence of three positive integers like *(2,3,1)* or a single integer (*r*) equivalent to *(r,r,r)*.""" atoms = self.copy() atoms *= rep return atoms __mul__ = repeat def translate(self, displacement): """Translate atomic positions. The displacement argument can be a float an xyz vector or an nx3 array (where n is the number of atoms).""" self.arrays['positions'] += np.array(displacement) def center(self, vacuum=None, axis=None): """Center atoms in unit cell. Centers the atoms in the unit cell, so there is the same amount of vacuum on all sides. Parameters: vacuum (default: None): If specified adjust the amount of vacuum when centering. If vacuum=10.0 there will thus be 10 Angstrom of vacuum on each side. axis (default: None): If specified, only act on the specified axis. Default: Act on all axes. """ # Find the orientations of the faces of the unit cell c = self.get_cell() dirs = np.zeros_like(c) for i in range(3): dirs[i] = np.cross(c[i - 1], c[i - 2]) dirs[i] /= np.sqrt(np.dot(dirs[i], dirs[i])) # normalize if np.dot(dirs[i], c[i]) < 0.0: dirs[i] *= -1 # Now, decide how much each basis vector should be made longer if axis is None: axes = (0, 1, 2) else: axes = (axis,) p = self.arrays['positions'] longer = np.zeros(3) shift = np.zeros(3) for i in axes: p0 = np.dot(p, dirs[i]).min() p1 = np.dot(p, dirs[i]).max() height = np.dot(c[i], dirs[i]) if vacuum is not None: lng = (p1 - p0 + 2 * vacuum) - height else: lng = 0.0 # Do not change unit cell size! top = lng + height - p1 shf = 0.5 * (top - p0) cosphi = np.dot(c[i], dirs[i]) / np.sqrt(np.dot(c[i], c[i])) longer[i] = lng / cosphi shift[i] = shf / cosphi # Now, do it! translation = np.zeros(3) for i in axes: nowlen = np.sqrt(np.dot(c[i], c[i])) self._cell[i] *= 1 + longer[i] / nowlen translation += shift[i] * c[i] / nowlen self.arrays['positions'] += translation def get_center_of_mass(self, scaled=False): """Get the center of mass. If scaled=True the center of mass in scaled coordinates is returned.""" m = self.arrays.get('masses') if m is None: m = atomic_masses[self.arrays['numbers']] com = np.dot(m, self.arrays['positions']) / m.sum() if scaled: return np.linalg.solve(self._cell.T, com) else: return com def get_moments_of_inertia(self, vectors=False): """Get the moments of inertia along the principal axes. The three principal moments of inertia are computed from the eigenvalues of the symmetric inertial tensor. Periodic boundary conditions are ignored. Units of the moments of inertia are amu*angstrom**2. """ com = self.get_center_of_mass() positions = self.get_positions() positions -= com # translate center of mass to origin masses = self.get_masses() #initialize elements of the inertial tensor I11 = I22 = I33 = I12 = I13 = I23 = 0.0 for i in range(len(self)): x, y, z = positions[i] m = masses[i] I11 += m * (y**2 + z**2) I22 += m * (x**2 + z**2) I33 += m * (x**2 + y**2) I12 += -m * x * y I13 += -m * x * z I23 += -m * y * z I = np.array([[I11, I12, I13], [I12, I22, I23], [I13, I23, I33]]) evals, evecs = np.linalg.eigh(I) if vectors: return evals, evecs.transpose() else: return evals def get_angular_momentum(self): """Get total angular momentum with respect to the center of mass.""" com = self.get_center_of_mass() positions = self.get_positions() positions -= com # translate center of mass to origin return np.cross(positions, self.get_momenta()).sum(0) def rotate(self, v, a=None, center=(0, 0, 0), rotate_cell=False): """Rotate atoms. Rotate the angle *a* around the vector *v*. If *a* is not given, the length of *v* is used as the angle. If *a* is a vector, then *v* is rotated into *a*. The point at *center* is fixed. Use *center='COM'* to fix the center of mass. Vectors can also be strings: 'x', '-x', 'y', ... . Examples: Rotate 90 degrees around the z-axis, so that the x-axis is rotated into the y-axis: >>> a = pi / 2 >>> atoms.rotate('z', a) >>> atoms.rotate((0, 0, 1), a) >>> atoms.rotate('-z', -a) >>> atoms.rotate((0, 0, a)) >>> atoms.rotate('x', 'y') """ norm = np.linalg.norm v = string2vector(v) if a is None: a = norm(v) if isinstance(a, (float, int)): v /= norm(v) c = cos(a) s = sin(a) else: v2 = string2vector(a) v /= norm(v) v2 /= norm(v2) c = np.dot(v, v2) v = np.cross(v, v2) s = norm(v) # In case *v* and *a* are parallel, np.cross(v, v2) vanish # and can't be used as a rotation axis. However, in this # case any rotation axis perpendicular to v2 will do. eps = 1e-7 if s < eps: v = np.cross((0, 0, 1), v2) if norm(v) < eps: v = np.cross((1, 0, 0), v2) assert norm(v) >= eps if s > 0: v /= s if isinstance(center, str) and center.lower() == 'com': center = self.get_center_of_mass() p = self.arrays['positions'] - center self.arrays['positions'][:] = (c * p - np.cross(p, s * v) + np.outer(np.dot(p, v), (1.0 - c) * v) + center) if rotate_cell: rotcell = self.get_cell() rotcell[:] = (c * rotcell - np.cross(rotcell, s * v) + np.outer(np.dot(rotcell, v), (1.0 - c) * v)) self.set_cell(rotcell) def rotate_euler(self, center=(0, 0, 0), phi=0.0, theta=0.0, psi=0.0): """Rotate atoms via Euler angles. See e.g http://mathworld.wolfram.com/EulerAngles.html for explanation. Parameters: center : The point to rotate about. A sequence of length 3 with the coordinates, or 'COM' to select the center of mass. phi : The 1st rotation angle around the z axis. theta : Rotation around the x axis. psi : 2nd rotation around the z axis. """ if isinstance(center, str) and center.lower() == 'com': center = self.get_center_of_mass() else: center = np.array(center) # First move the molecule to the origin In contrast to MATLAB, # numpy broadcasts the smaller array to the larger row-wise, # so there is no need to play with the Kronecker product. rcoords = self.positions - center # First Euler rotation about z in matrix form D = np.array(((cos(phi), sin(phi), 0.), (-sin(phi), cos(phi), 0.), (0., 0., 1.))) # Second Euler rotation about x: C = np.array(((1., 0., 0.), (0., cos(theta), sin(theta)), (0., -sin(theta), cos(theta)))) # Third Euler rotation, 2nd rotation about z: B = np.array(((cos(psi), sin(psi), 0.), (-sin(psi), cos(psi), 0.), (0., 0., 1.))) # Total Euler rotation A = np.dot(B, np.dot(C, D)) # Do the rotation rcoords = np.dot(A, np.transpose(rcoords)) # Move back to the rotation point self.positions = np.transpose(rcoords) + center def get_dihedral(self, list): """Calculate dihedral angle. Calculate dihedral angle between the vectors list[0]->list[1] and list[2]->list[3], where list contains the atomic indexes in question. """ # vector 0->1, 1->2, 2->3 and their normalized cross products: a = self.positions[list[1]] - self.positions[list[0]] b = self.positions[list[2]] - self.positions[list[1]] c = self.positions[list[3]] - self.positions[list[2]] bxa = np.cross(b, a) bxa /= np.linalg.norm(bxa) cxb = np.cross(c, b) cxb /= np.linalg.norm(cxb) angle = np.vdot(bxa, cxb) # check for numerical trouble due to finite precision: if angle < -1: angle = -1 if angle > 1: angle = 1 angle = np.arccos(angle) if np.vdot(bxa, c) > 0: angle = 2 * np.pi - angle return angle def _masked_rotate(self, center, axis, diff, mask): # do rotation of subgroup by copying it to temporary atoms object # and then rotating that # # recursive object definition might not be the most elegant thing, # more generally useful might be a rotation function with a mask? group = self.__class__() for i in range(len(self)): if mask[i]: group += self[i] group.translate(-center) group.rotate(axis, diff) group.translate(center) # set positions in original atoms object j = 0 for i in range(len(self)): if mask[i]: self.positions[i] = group[j].get_position() j += 1 def set_dihedral(self, list, angle, mask=None): """ set the dihedral angle between vectors list[0]->list[1] and list[2]->list[3] by changing the atom indexed by list[3] if mask is not None, all the atoms described in mask (read: the entire subgroup) are moved example: the following defines a very crude ethane-like molecule and twists one half of it by 30 degrees. >>> atoms = Atoms('HHCCHH', [[-1, 1, 0], [-1, -1, 0], [0, 0, 0], [1, 0, 0], [2, 1, 0], [2, -1, 0]]) >>> atoms.set_dihedral([1,2,3,4],7*pi/6,mask=[0,0,0,1,1,1]) """ # if not provided, set mask to the last atom in the # dihedral description if mask is None: mask = np.zeros(len(self)) mask[list[3]] = 1 # compute necessary in dihedral change, from current value current = self.get_dihedral(list) diff = angle - current axis = self.positions[list[2]] - self.positions[list[1]] center = self.positions[list[2]] self._masked_rotate(center, axis, diff, mask) def rotate_dihedral(self, list, angle, mask=None): """Rotate dihedral angle. Complementing the two routines above: rotate a group by a predefined dihedral angle, starting from its current configuration """ start = self.get_dihedral(list) self.set_dihedral(list, angle + start, mask) def get_angle(self, list): """Get angle formed by three atoms. calculate angle between the vectors list[0]->list[1] and list[1]->list[2], where list contains the atomic indexes in question.""" # normalized vector 1->0, 1->2: v10 = self.positions[list[0]] - self.positions[list[1]] v12 = self.positions[list[2]] - self.positions[list[1]] v10 /= np.linalg.norm(v10) v12 /= np.linalg.norm(v12) angle = np.vdot(v10, v12) angle = np.arccos(angle) return angle def set_angle(self, list, angle, mask=None): """Set angle formed by three atoms. Sets the angle between vectors list[1]->list[0] and list[1]->list[2]. Same usage as in set_dihedral.""" # If not provided, set mask to the last atom in the angle description if mask is None: mask = np.zeros(len(self)) mask[list[2]] = 1 # Compute necessary in angle change, from current value current = self.get_angle(list) diff = current - angle # Do rotation of subgroup by copying it to temporary atoms object and # then rotating that v10 = self.positions[list[0]] - self.positions[list[1]] v12 = self.positions[list[2]] - self.positions[list[1]] v10 /= np.linalg.norm(v10) v12 /= np.linalg.norm(v12) axis = np.cross(v10, v12) center = self.positions[list[1]] self._masked_rotate(center, axis, diff, mask) def rattle(self, stdev=0.001, seed=42): """Randomly displace atoms. This method adds random displacements to the atomic positions, taking a possible constraint into account. The random numbers are drawn from a normal distribution of standard deviation stdev. For a parallel calculation, it is important to use the same seed on all processors! """ rs = np.random.RandomState(seed) positions = self.arrays['positions'] self.set_positions(positions + rs.normal(scale=stdev, size=positions.shape)) def get_distance(self, a0, a1, mic=False): """Return distance between two atoms. Use mic=True to use the Minimum Image Convention. """ R = self.arrays['positions'] D = R[a1] - R[a0] if mic: Dr = np.linalg.solve(self._cell.T, D) D = np.dot(Dr - np.round(Dr) * self._pbc, self._cell) return np.linalg.norm(D) def set_distance(self, a0, a1, distance, fix=0.5): """Set the distance between two atoms. Set the distance between atoms *a0* and *a1* to *distance*. By default, the center of the two atoms will be fixed. Use *fix=0* to fix the first atom, *fix=1* to fix the second atom and *fix=0.5* (default) to fix the center of the bond.""" R = self.arrays['positions'] D = R[a1] - R[a0] x = 1.0 - distance / np.linalg.norm(D) R[a0] += (x * fix) * D R[a1] -= (x * (1.0 - fix)) * D def get_scaled_positions(self): """Get positions relative to unit cell. Atoms outside the unit cell will be wrapped into the cell in those directions with periodic boundary conditions so that the scaled coordinates are between zero and one.""" scaled = np.linalg.solve(self._cell.T, self.arrays['positions'].T).T for i in range(3): if self._pbc[i]: # Yes, we need to do it twice. # See the scaled_positions.py test scaled[:, i] %= 1.0 scaled[:, i] %= 1.0 return scaled def set_scaled_positions(self, scaled): """Set positions relative to unit cell.""" self.arrays['positions'][:] = np.dot(scaled, self._cell) def get_temperature(self): """Get the temperature. in Kelvin""" ekin = self.get_kinetic_energy() / len(self) return ekin / (1.5 * units.kB) def get_isotropic_pressure(self, stress): """Get the current calculated pressure, assume isotropic medium. in Bar """ if type(stress) == type(1.0) or type(stress) == type(1): return -stress * 1e-5 / units.Pascal elif stress.shape == (3, 3): return (-(stress[0, 0] + stress[1, 1] + stress[2, 2]) / 3.0) * \ 1e-5 / units.Pascal elif stress.shape == (6,): return (-(stress[0] + stress[1] + stress[2]) / 3.0) * \ 1e-5 / units.Pascal else: raise ValueError('The external stress has the wrong shape.') def __eq__(self, other): """Check for identity of two atoms objects. Identity means: same positions, atomic numbers, unit cell and periodic boundary conditions.""" try: a = self.arrays b = other.arrays return (len(self) == len(other) and (a['positions'] == b['positions']).all() and (a['numbers'] == b['numbers']).all() and (self._cell == other.cell).all() and (self._pbc == other.pbc).all()) except AttributeError: return NotImplemented def __ne__(self, other): eq = self.__eq__(other) if eq is NotImplemented: return eq else: return not eq __hash__ = None def get_volume(self): """Get volume of unit cell.""" return abs(np.linalg.det(self._cell)) def _get_positions(self): """Return reference to positions-array for in-place manipulations.""" return self.arrays['positions'] def _set_positions(self, pos): """Set positions directly, bypassing constraints.""" self.arrays['positions'][:] = pos positions = property(_get_positions, _set_positions, doc='Attribute for direct ' + 'manipulation of the positions.') def _get_atomic_numbers(self): """Return reference to atomic numbers for in-place manipulations.""" return self.arrays['numbers'] numbers = property(_get_atomic_numbers, set_atomic_numbers, doc='Attribute for direct ' + 'manipulation of the atomic numbers.') def _get_cell(self): """Return reference to unit cell for in-place manipulations.""" return self._cell cell = property(_get_cell, set_cell, doc='Attribute for direct ' + 'manipulation of the unit cell.') def _get_pbc(self): """Return reference to pbc-flags for in-place manipulations.""" return self._pbc pbc = property(_get_pbc, set_pbc, doc='Attribute for direct manipulation ' + 'of the periodic boundary condition flags.') def get_name(self): """Return a name extracted from the elements.""" elements = {} for a in self: try: elements[a.symbol] += 1 except: elements[a.symbol] = 1 name = '' for element in elements: name += element if elements[element] > 1: name += str(elements[element]) return name def write(self, filename, format=None, **kwargs): """Write yourself to a file.""" from ase.io import write write(filename, self, format, **kwargs) def edit(self): """Modify atoms interactively through ag viewer. Conflicts leading to undesirable behaviour might arise when matplotlib has been pre-imported with certain incompatible backends and while trying to use the plot feature inside the interactive ag. To circumvent, please set matplotlib.use('gtk') before calling this method. """ from ase.gui.images import Images from ase.gui.gui import GUI images = Images([self]) gui = GUI(images) gui.run() # use atoms returned from gui: # (1) delete all currently available atoms self.set_constraint() for z in range(len(self)): self.pop() edited_atoms = gui.images.get_atoms(0) # (2) extract atoms from edit session self.extend(edited_atoms) self.set_constraint(edited_atoms._get_constraints()) self.set_cell(edited_atoms.get_cell()) self.set_initial_magnetic_moments(edited_atoms.get_magnetic_moments()) self.set_tags(edited_atoms.get_tags()) return def string2symbols(s): """Convert string to list of chemical symbols.""" n = len(s) if n == 0: return [] c = s[0] if c.isdigit(): i = 1 while i < n and s[i].isdigit(): i += 1 return int(s[:i]) * string2symbols(s[i:]) if c == '(': p = 0 for i, c in enumerate(s): if c == '(': p += 1 elif c == ')': p -= 1 if p == 0: break j = i + 1 while j < n and s[j].isdigit(): j += 1 if j > i + 1: m = int(s[i + 1:j]) else: m = 1 return m * string2symbols(s[1:i]) + string2symbols(s[j:]) if c.isupper(): i = 1 if 1 < n and s[1].islower(): i += 1 j = i while j < n and s[j].isdigit(): j += 1 if j > i: m = int(s[i:j]) else: m = 1 return m * [s[:i]] + string2symbols(s[j:]) else: raise ValueError def symbols2numbers(symbols): if isinstance(symbols, str): symbols = string2symbols(symbols) numbers = [] for s in symbols: if isinstance(s, str): numbers.append(atomic_numbers[s]) else: numbers.append(s) return numbers def string2vector(v): if isinstance(v, str): if v[0] == '-': return -string2vector(v[1:]) w = np.zeros(3) w['xyz'.index(v)] = 1.0 return w return np.array(v, float) def default(data, dflt): """Helper function for setting default values.""" if data is None: return None elif isinstance(data, (list, tuple)): newdata = [] allnone = True for x in data: if x is None: newdata.append(dflt) else: newdata.append(x) allnone = False if allnone: return None return newdata else: return data python-ase-3.6.0.2515/ase/calculators/0000755000175400017540000000000011757245036016276 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/calculators/aims.py0000644000175400017540000004634011666144730017606 0ustar askhlaskhl"""This module defines an ASE interface to FHI-aims. Felix Hanke hanke@liverpool.ac.uk Jonas Bjork j.bjork@liverpool.ac.uk """ from general import Calculator import os import sys from os.path import join, isfile, islink import numpy as np import ase float_keys = [ 'charge', 'charge_mix_param', 'default_initial_moment', 'hartree_convergence_parameter', 'harmonic_length_scale', 'ini_linear_mix_param', 'ini_spin_mix_parma', 'initial_moment', 'MD_MB_init', 'MD_time_step', 'prec_mix_param', 'set_vacuum_level', 'spin_mix_param', ] exp_keys = [ 'sc_accuracy_eev', 'sc_accuracy_etot', 'sc_accuracy_forces', 'sc_accuracy_rho', ] string_keys = [ 'communication_type', 'density_update_method', 'KS_method', 'mixer', 'output_level', 'packed_matrix_format', 'relax_unit_cell', 'restart', 'restart_read_only', 'restart_write_only', 'spin', 'total_energy_method', 'qpe_calc', 'xc', ] int_keys = [ 'empty_states', 'ini_linear_mixing', 'max_relaxation_steps', 'multiplicity', 'n_max_pulay', 'sc_iter_limit', 'walltime', ] bool_keys = [ 'collect_eigenvectors', 'compute_forces', 'compute_kinetic', 'compute_numerical_stress', 'distributed_spline_storage', 'evaluate_work_function', 'final_forces_cleaned', 'hessian_to_restart_geometry', 'load_balancing', 'MD_clean_rotations', 'MD_restart', 'restart_relaxations', 'squeeze_memory', 'use_density_matrix', 'use_dipole_correction', 'use_local_index', 'use_logsbt', 'vdw_correction_hirshfeld', ] list_keys = [ 'init_hess', 'k_grid', 'k_offset', 'MD_run', 'MD_schedule', 'MD_segment', 'mixer_threshold', 'occupation_type', 'output', 'preconditioner', 'relativistic', 'relax_geometry', ] input_keys = [ 'run_command', 'run_dir', 'species_dir', 'cubes', 'output_template', 'track_output', ] input_parameters_default = {'run_command':None, 'run_dir':None, 'species_dir':None, 'cubes':None, 'output_template':'aims', 'track_output':False} class Aims(Calculator): def __init__(self, **kwargs): self.name = 'Aims' self.float_params = {} self.exp_params = {} self.string_params = {} self.int_params = {} self.bool_params = {} self.list_params = {} self.input_parameters = {} for key in float_keys: self.float_params[key] = None for key in exp_keys: self.exp_params[key] = None for key in string_keys: self.string_params[key] = None for key in int_keys: self.int_params[key] = None for key in bool_keys: self.bool_params[key] = None for key in list_keys: self.list_params[key] = None for key in input_keys: self.input_parameters[key] = input_parameters_default[key] if os.environ.has_key('AIMS_SPECIES_DIR'): self.input_parameters['species_dir'] = os.environ['AIMS_SPECIES_DIR'] if os.environ.has_key('AIMS_COMMAND'): self.input_parameters['run_command'] = os.environ['AIMS_COMMAND'] self.positions = None self.atoms = None self.run_counts = 0 self.set(**kwargs) def set(self, **kwargs): if 'control' in kwargs: fname = kwargs['control'] from ase.io.aims import read_aims_calculator file = open(fname, 'r') calc_temp = None while True: line = file.readline() if "List of parameters used to initialize the calculator:" in line: file.readline() calc_temp = read_aims_calculator(file) break if calc_temp is not None: self.float_params = calc_temp.float_params self.exp_params = calc_temp.exp_params self.string_params = calc_temp.string_params self.int_params = calc_temp.int_params self.bool_params = calc_temp.bool_params self.list_params = calc_temp.list_params self.input_parameters = calc_temp.input_parameters else: raise TypeError("Control file to be imported can not be read by ASE = " + fname) for key in kwargs: if self.float_params.has_key(key): self.float_params[key] = kwargs[key] elif self.exp_params.has_key(key): self.exp_params[key] = kwargs[key] elif self.string_params.has_key(key): self.string_params[key] = kwargs[key] elif self.int_params.has_key(key): self.int_params[key] = kwargs[key] elif self.bool_params.has_key(key): self.bool_params[key] = kwargs[key] elif self.list_params.has_key(key): self.list_params[key] = kwargs[key] elif self.input_parameters.has_key(key): self.input_parameters[key] = kwargs[key] elif key is not 'control': raise TypeError('Parameter not defined: ' + key) def update(self, atoms): if self.calculation_required(atoms,[]): self.calculate(atoms) def calculation_required(self, atoms,quantities): if (self.positions is None or (self.atoms != atoms) or (self.atoms != self.old_atoms) or (self.float_params != self.old_float_params) or (self.exp_params != self.old_exp_params) or (self.string_params != self.old_string_params) or (self.int_params != self.old_int_params) or (self.bool_params != self.old_bool_params) or (self.list_params != self.old_list_params) or (self.input_parameters != self.old_input_parameters)): return True else: return False def calculate(self, atoms): """Generate necessary files in the working directory. If the directory does not exist it will be created. """ positions = atoms.get_positions() have_lattice_vectors = atoms.get_pbc().any() have_k_grid = self.list_params['k_grid'] if have_lattice_vectors and not have_k_grid: raise RuntimeError("Found lattice vectors but no k-grid!") if not have_lattice_vectors and have_k_grid: raise RuntimeError("Found k-grid but no lattice vectors!") from ase.io.aims import write_aims write_aims('geometry.in', atoms) self.write_control() self.write_species() self.run() self.converged = self.read_convergence() if not self.converged: os.system("tail -20 "+self.out) raise RuntimeError("FHI-aims did not converge!\n"+ "The last lines of output are printed above "+ "and should give an indication why.") self.set_results(atoms) def set_results(self,atoms): self.read(atoms) self.old_float_params = self.float_params.copy() self.old_exp_params = self.exp_params.copy() self.old_string_params = self.string_params.copy() self.old_int_params = self.int_params.copy() self.old_input_parameters = self.input_parameters.copy() self.old_bool_params = self.bool_params.copy() self.old_list_params = self.list_params.copy() self.old_atoms = self.atoms.copy() def run(self): if self.input_parameters['track_output']: self.out = self.input_parameters['output_template']+str(self.run_counts)+'.out' self.run_counts += 1 else: self.out = self.input_parameters['output_template']+'.out' if self.input_parameters['run_command']: aims_command = self.input_parameters['run_command'] elif os.environ.has_key('AIMS_COMMAND'): aims_command = os.environ['AIMS_COMMAND'] else: raise RuntimeError("No specification for running FHI-aims. Aborting!") aims_command = aims_command + ' >> ' if self.input_parameters['run_dir']: aims_command = aims_command + self.input_parameters['run_dir'] + '/' aims_command = aims_command + self.out self.write_parameters('#',self.out) exitcode = os.system(aims_command) if exitcode != 0: raise RuntimeError('FHI-aims exited with exit code: %d. ' % exitcode) if self.input_parameters['cubes'] and self.input_parameters['track_output']: self.input_parameters['cubes'].move_to_base_name(self.input_parameters['output_template']+str(self.run_counts-1)) def write_parameters(self,prefix,filename): output = open(filename,'w') output.write(prefix+'=======================================================\n') output.write(prefix+'FHI-aims file: '+filename+'\n') output.write(prefix+'Created using the Atomic Simulation Environment (ASE)\n'+prefix+'\n') output.write(prefix+'List of parameters used to initialize the calculator:\n') output.write(prefix+'=======================================================\n') for key, val in self.float_params.items(): if val is not None: output.write('%-35s%5.6f\n' % (key, val)) for key, val in self.exp_params.items(): if val is not None: output.write('%-35s%5.2e\n' % (key, val)) for key, val in self.string_params.items(): if val is not None: output.write('%-35s%s\n' % (key, val)) for key, val in self.int_params.items(): if val is not None: output.write('%-35s%d\n' % (key, val)) for key, val in self.bool_params.items(): if val is not None: if key == 'vdw_correction_hirshfeld' and val: output.write('%-35s\n' % (key)) elif val: output.write('%-35s.true.\n' % (key)) elif key != 'vdw_correction_hirshfeld': output.write('%-35s.false.\n' % (key)) for key, val in self.list_params.items(): if val is not None: if key == 'output': if not isinstance(val,(list,tuple)): val = [val] for output_type in val: output.write('%-35s%s\n' % (key,str(output_type))) else: output.write('%-35s' % (key)) if isinstance(val,str): output.write(val) else: for sub_value in val: output.write(str(sub_value)+' ') output.write('\n') for key, val in self.input_parameters.items(): if key is 'cubes': if val: val.write(output) elif val and val != input_parameters_default[key]: output.write(prefix+'%-34s%s\n' % (key,val)) output.write(prefix+'=======================================================\n\n') output.close() def __repr__(self): items = self.float_params.items()+self.exp_params.items() \ +self.string_params.items()+self.int_params.items() rep = 'Aims(' for key, val in items: if val is not None: rep += key+' '+str(val)+', ' for key, val in self.bool_params.items(): if val is not None: if key == 'vdw_correction_hirshfeld' and val: rep += key + ', ' elif val: rep += key+' .true., ' elif key != 'vdw_correction_hirshfeld': rep += key+' .false., ' for key, val in self.list_params.items(): if val is not None: if key == 'output': if not isinstance(val,(list,tuple)): val = [val] for output_type in val: rep += key+' '+str(output_type)+', ' else: rep += key if isinstance(val,str): rep += ' '+val else: for sub_value in val: rep += ' '+str(sub_value) rep += ', ' for key, val in self.input_parameters.items(): if val and val != input_parameters_default[key]: rep += key+' '+val+', ' return rep[:-2]+')' def write_control(self, file = 'control.in'): """Writes the control.in file.""" self.write_parameters('#',file) def write_species(self, file = 'control.in'): from ase.data import atomic_numbers if not self.input_parameters['species_dir']: raise RuntimeError('Missing species directory, THIS MUST BE SPECIFIED!') control = open(file, 'a') species_path = self.input_parameters['species_dir'] symbols = self.atoms.get_chemical_symbols() symbols2 = [] for n, symbol in enumerate(symbols): if symbol not in symbols2: symbols2.append(symbol) for symbol in symbols2: fd = join(species_path, '%02i_%s_default' % (atomic_numbers[symbol], symbol)) for line in open(fd, 'r'): control.write(line) control.close() def get_dipole_moment(self, atoms): if self.list_params['output'] is None or 'dipole' not in self.list_params['output']: raise RuntimeError('output=[\'dipole\'] has to be set.') elif atoms.get_pbc().any(): raise RuntimeError('FHI-aims does not allow this for systems with periodic boundary conditions.') self.update(atoms) return self.dipole def read_dipole(self): """Method that reads the electric dipole moment from the output file.""" dipolemoment=np.zeros([1,3]) for line in open(self.out, 'r'): if line.rfind('Total dipole moment [eAng]') > -1: dipolemoment=np.array([float(f) for f in line.split()[6:10]]) return dipolemoment def read_energy(self, all=None): for line in open(self.out, 'r'): if line.rfind('Total energy corrected') > -1: E0 = float(line.split()[5]) elif line.rfind('Total energy uncorrected') > -1: F = float(line.split()[5]) energy_free, energy_zero = F, E0 return [energy_free, energy_zero] def read_forces(self, atoms, all=False): """Method that reads forces from the output file. If 'all' is switched on, the forces for all ionic steps in the output file will be returned, in other case only the forces for the last ionic configuration are returned.""" lines = open(self.out, 'r').readlines() forces = np.zeros([len(atoms), 3]) for n, line in enumerate(lines): if line.rfind('Total atomic forces') > -1: for iatom in range(len(atoms)): data = lines[n+iatom+1].split() for iforce in range(3): forces[iatom, iforce] = float(data[2+iforce]) return forces def read_stress(self): lines = open(self.out, 'r').readlines() stress = None for n, line in enumerate(lines): if line.rfind('Calculation of numerical stress completed') > -1: stress = [] for i in [n+8,n+9,n+10]: data = lines[i].split() stress += [float(data[2]),float(data[3]),float(data[4])] # rearrange in 6-component form and return if stress is not None: return np.array([stress[0], stress[4], stress[8], stress[5], stress[2], stress[1]]) else: return def get_stress(self, atoms): self.update(atoms) return self.stress # methods that should be quickly implemented some time, haven't had time yet: def read_fermi(self): """Method that reads Fermi energy from output file""" return def read_magnetic_moment(self): return def read_convergence(self): converged = False lines = open(self.out, 'r').readlines() for n, line in enumerate(lines): if line.rfind('Have a nice day') > -1: converged = True return converged def read_eigenvalues(self, kpt=0, spin=0): return class AimsCube: """ object to ensure the output of cube files, can be attached to Aims object""" def __init__(self,origin=(0,0,0), edges=[(0.1,0.0,0.0),(0.0,0.1,0.0),(0.0,0.0,0.1)], points=(50,50,50),plots=None): """ parameters: origin, edges, points = same as in the FHI-aims output plots: what to print, same names as in FHI-aims """ self.name = 'AimsCube' self.origin = origin self.edges = edges self.points = points self.plots = plots def ncubes(self): """returns the number of cube files to output """ if self.plots: number = len(self.plots) else: number = 0 return number def set(self,**kwargs): """ set any of the parameters ... """ # NOT IMPLEMENTED AT THE MOMENT! def move_to_base_name(self,basename): """ when output tracking is on or the base namem is not standard, this routine will rename add the base to the cube file output for easier tracking """ for plot in self.plots: found = False cube = plot.split() if cube[0] == 'total_density' or cube[0] == 'spin_density' or cube[0] == 'delta_density': found = True old_name = cube[0]+'.cube' new_name = basename+'.'+old_name if cube[0] == 'eigenstate' or cube[0] == 'eigenstate_density': found = True state = int(cube[1]) s_state = cube[1] for i in [10,100,1000,10000]: if state < i: s_state = '0'+s_state old_name = cube[0]+'_'+s_state+'_spin_1.cube' new_name = basename+'.'+old_name if found: os.system("mv "+old_name+" "+new_name) def add_plot(self,name): """ in case you forgot one ... """ plots += [name] def write(self,file): """ write the necessary output to the already opened control.in """ file.write('output cube '+self.plots[0]+'\n') file.write(' cube origin ') for ival in self.origin: file.write(str(ival)+' ') file.write('\n') for i in range(3): file.write(' cube edge '+str(self.points[i])+' ') for ival in self.edges[i]: file.write(str(ival)+' ') file.write('\n') if self.ncubes() > 1: for i in range(self.ncubes()-1): file.write('output cube '+self.plots[i+1]+'\n') python-ase-3.6.0.2515/ase/calculators/__init__.py0000644000175400017540000000010011721407205020363 0ustar askhlaskhl"""Interfaces to different ASE compatible force-calculators.""" python-ase-3.6.0.2515/ase/calculators/emt.py0000644000175400017540000002434711633577665017460 0ustar askhlaskhl"""Effective medium theory potential.""" from math import sqrt, exp, log, pi import numpy as np import sys from ase.data import chemical_symbols from ase.units import Bohr from ase.calculators.neighborlist import NeighborList parameters = { # E0 s0 V0 eta2 kappa lambda n0 # eV bohr eV bohr^-1 bohr^-1 bohr^-1 bohr^-3 'Al': (-3.28, 3.00, 1.493, 1.240, 2.000, 1.169, 0.00700), 'Cu': (-3.51, 2.67, 2.476, 1.652, 2.740, 1.906, 0.00910), 'Ag': (-2.96, 3.01, 2.132, 1.652, 2.790, 1.892, 0.00547), 'Au': (-3.80, 3.00, 2.321, 1.674, 2.873, 2.182, 0.00703), 'Ni': (-4.44, 2.60, 3.673, 1.669, 2.757, 1.948, 0.01030), 'Pd': (-3.90, 2.87, 2.773, 1.818, 3.107, 2.155, 0.00688), 'Pt': (-5.85, 2.90, 4.067, 1.812, 3.145, 2.192, 0.00802), # extra parameters - just for fun ... 'H': (-3.21, 1.31, 0.132, 2.652, 2.790, 3.892, 0.00547), 'C': (-3.50, 1.81, 0.332, 1.652, 2.790, 1.892, 0.01322), 'N': (-5.10, 1.88, 0.132, 1.652, 2.790, 1.892, 0.01222), 'O': (-4.60, 1.95, 0.332, 1.652, 2.790, 1.892, 0.00850)} beta = 1.809 # (16 * pi / 3)**(1.0 / 3) / 2**0.5, # but preserve historical rounding class EMT: disabled = False # Set to True to disable (asap does this). def __init__(self, fakestress=False): self.energy = None self.name = 'EMT' self.version = '1.0' # fakestress is needed to fake some stress value for the testsuite # in order to test the filter functionality. self.fakestress = fakestress if self.disabled: print >> sys.stderr, """ ase.EMT has been disabled by Asap. Most likely, you intended to use Asap's EMT calculator, but accidentally imported ase's EMT calculator after Asap's. This could happen if your script contains the lines from asap3 import * from ase.calculators.emt import EMT Swap the two lines to solve the problem. (or 'from ase import *' in older versions of ASE.) Swap the two lines to solve the problem. In the UNLIKELY event that you actually wanted to use ase.calculators.emt.EMT although asap3 is loaded into memory, please reactivate it with the command ase.calculators.emt.EMT.disabled = False """ raise RuntimeError('ase.EMT has been disabled. ' + 'See message printed above.') def get_name(self): return self.name def get_version(self): return self.version def get_spin_polarized(self): return False def initialize(self, atoms): self.par = {} self.rc = 0.0 self.numbers = atoms.get_atomic_numbers() maxseq = max(par[1] for par in parameters.values()) * Bohr rc = self.rc = beta * maxseq * 0.5 * (sqrt(3) + sqrt(4)) rr = rc * 2 * sqrt(4) / (sqrt(3) + sqrt(4)) self.acut = np.log(9999.0) / (rr - rc) for Z in self.numbers: if Z not in self.par: p = parameters[chemical_symbols[Z]] s0 = p[1] * Bohr eta2 = p[3] / Bohr kappa = p[4] / Bohr x = eta2 * beta * s0 gamma1 = 0.0 gamma2 = 0.0 for i, n in enumerate([12, 6, 24]): r = s0 * beta * sqrt(i + 1) x = n / (12 * (1.0 + exp(self.acut * (r - rc)))) gamma1 += x * exp(-eta2 * (r - beta * s0)) gamma2 += x * exp(-kappa / beta * (r - beta * s0)) self.par[Z] = {'E0': p[0], 's0': s0, 'V0': p[2], 'eta2': eta2, 'kappa': kappa, 'lambda': p[5] / Bohr, 'n0': p[6] / Bohr**3, 'rc': rc, 'gamma1': gamma1, 'gamma2': gamma2} #if rc + 0.5 > self.rc: # self.rc = rc + 0.5 self.ksi = {} for s1, p1 in self.par.items(): self.ksi[s1] = {} for s2, p2 in self.par.items(): #self.ksi[s1][s2] = (p2['n0'] / p1['n0'] * # exp(eta1 * (p1['s0'] - p2['s0']))) self.ksi[s1][s2] = p2['n0'] / p1['n0'] self.forces = np.empty((len(atoms), 3)) self.sigma1 = np.empty(len(atoms)) self.deds = np.empty(len(atoms)) self.nl = NeighborList([0.5 * self.rc + 0.25] * len(atoms), self_interaction=False) def update(self, atoms): if (self.energy is None or len(self.numbers) != len(atoms) or (self.numbers != atoms.get_atomic_numbers()).any()): self.initialize(atoms) self.calculate(atoms) elif ((self.positions != atoms.get_positions()).any() or (self.pbc != atoms.get_pbc()).any() or (self.cell != atoms.get_cell()).any()): self.calculate(atoms) def calculation_required(self, atoms, quantities): if len(quantities) == 0: return False return (self.energy is None or len(self.numbers) != len(atoms) or (self.numbers != atoms.get_atomic_numbers()).any() or (self.positions != atoms.get_positions()).any() or (self.pbc != atoms.get_pbc()).any() or (self.cell != atoms.get_cell()).any()) def get_number_of_iterations(self): return 0 def get_potential_energy(self, atoms): self.update(atoms) return self.energy def get_numeric_forces(self, atoms): self.update(atoms) p = atoms.positions p0 = p.copy() forces = np.empty_like(p) eps = 0.0001 for a in range(len(p)): for c in range(3): p[a, c] += eps self.calculate(atoms) de = self.energy p[a, c] -= 2 * eps self.calculate(atoms) de -= self.energy p[a, c] += eps forces[a, c] = -de / (2 * eps) p[:] = p0 return forces def get_forces(self, atoms): self.update(atoms) return self.forces.copy() def get_stress(self, atoms): if self.fakestress: return np.zeros((6)) else: raise NotImplementedError def calculate(self, atoms): self.positions = atoms.get_positions().copy() self.cell = atoms.get_cell().copy() self.pbc = atoms.get_pbc().copy() self.nl.update(atoms) self.energy = 0.0 self.sigma1[:] = 0.0 self.forces[:] = 0.0 natoms = len(atoms) for a1 in range(natoms): Z1 = self.numbers[a1] p1 = self.par[Z1] ksi = self.ksi[Z1] neighbors, offsets = self.nl.get_neighbors(a1) offsets = np.dot(offsets, atoms.cell) for a2, offset in zip(neighbors, offsets): d = self.positions[a2] + offset - self.positions[a1] r = sqrt(np.dot(d, d)) if r < self.rc + 0.5: Z2 = self.numbers[a2] p2 = self.par[Z2] self.interact1(a1, a2, d, r, p1, p2, ksi[Z2]) for a in range(natoms): Z = self.numbers[a] p = self.par[Z] try: ds = -log(self.sigma1[a] / 12) / (beta * p['eta2']) except (OverflowError, ValueError): self.deds[a] = 0.0 self.energy -= p['E0'] continue x = p['lambda'] * ds y = exp(-x) z = 6 * p['V0'] * exp(-p['kappa'] * ds) self.deds[a] = ((x * y * p['E0'] * p['lambda'] + p['kappa'] * z) / (self.sigma1[a] * beta * p['eta2'])) e = p['E0'] * ((1 + x) * y - 1) + z self.energy += p['E0'] * ((1 + x) * y - 1) + z for a1 in range(natoms): Z1 = self.numbers[a1] p1 = self.par[Z1] ksi = self.ksi[Z1] neighbors, offsets = self.nl.get_neighbors(a1) offsets = np.dot(offsets, atoms.cell) for a2, offset in zip(neighbors, offsets): d = self.positions[a2] + offset - self.positions[a1] r = sqrt(np.dot(d, d)) if r < self.rc + 0.5: Z2 = self.numbers[a2] p2 = self.par[Z2] self.interact2(a1, a2, d, r, p1, p2, ksi[Z2]) def interact1(self, a1, a2, d, r, p1, p2, ksi): x = exp(self.acut * (r - self.rc)) theta = 1.0 / (1.0 + x) y1 = (0.5 * p1['V0'] * exp(-p2['kappa'] * (r / beta - p2['s0'])) * ksi / p1['gamma2'] * theta) y2 = (0.5 * p2['V0'] * exp(-p1['kappa'] * (r / beta - p1['s0'])) / ksi / p2['gamma2'] * theta) self.energy -= y1 + y2 f = ((y1 * p2['kappa'] + y2 * p1['kappa']) / beta + (y1 + y2) * self.acut * theta * x) * d / r self.forces[a1] += f self.forces[a2] -= f self.sigma1[a1] += (exp(-p2['eta2'] * (r - beta * p2['s0'])) * ksi * theta / p1['gamma1']) self.sigma1[a2] += (exp(-p1['eta2'] * (r - beta * p1['s0'])) / ksi * theta / p2['gamma1']) def interact2(self, a1, a2, d, r, p1, p2, ksi): x = exp(self.acut * (r - self.rc)) theta = 1.0 / (1.0 + x) y1 = (exp(-p2['eta2'] * (r - beta * p2['s0'])) * ksi / p1['gamma1'] * theta * self.deds[a1]) y2 = (exp(-p1['eta2'] * (r - beta * p1['s0'])) / ksi / p2['gamma1'] * theta * self.deds[a2]) f = ((y1 * p2['eta2'] + y2 * p1['eta2']) + (y1 + y2) * self.acut * theta * x) * d / r self.forces[a1] -= f self.forces[a2] += f def set_atoms(self,*args,**kwargs): 'empty function for compatibility with other calculators and tests' pass python-ase-3.6.0.2515/ase/calculators/nwchem.py0000644000175400017540000003201711721400523020115 0ustar askhlaskhl"""This module defines an ASE interface to NWchem http://www.nwchem-sw.org/ """ import os import sys import numpy as np from ase.units import Hartree, Bohr from ase.io.nwchem import write_nwchem, read_nwchem from ase.calculators.general import Calculator class KPoint: def __init__(self, s): self.s = s self.eps_n = [] self.f_n = [] class NWchem(Calculator): def __init__(self, label='nwchem', task='energy', geometry=None, xc='LDA', convergence = {'energy' : None, 'density' : None, 'gradient': None, 'lshift': None, # set to 0.0 for nolevelshifting }, smear=0.001*Hartree, # smear must be specified to appear in out! grid=None, tolerances=None, cgmin=False, maxiter = 120, basis='3-21G', basispar=None, ecp=None, so=None, charge=None, multiplicity=None, spinorbit=False, kpts=None, dftcontrol='', # additional dft control string control='', # additional outside of dft block control string ): """Construct NWchem-calculator object. Parameters ========== label: str Prefix to use for filenames (label.nw, label.out, ...). Default is 'nwchem'. xc: str Exchange-correlation functional. LDA and PBE are predefined, use nchem names instead. basis: str Basis set maxiter: int Maximal number of iteratations in self-consistent field convergence. """ self.label = label self.task = task self.geometry = geometry self.xc = xc self.convergence = convergence self.smear = round(smear/Hartree, 4) self.grid = grid self.tolerances = tolerances self.cgmin = cgmin self.maxiter = maxiter self.basis = basis if basispar is not None: self.basispar = 'basis ' + basispar else: self.basispar = 'basis' self.ecp = ecp self.so = so self.charge = charge self.multiplicity = multiplicity self.spinorbit = spinorbit self.kpts = kpts self.dftcontrol = dftcontrol self.control = control # does nwchem have stress ??? self.stress = np.zeros((3, 3)) # atoms must be set self.atoms = None self.converged = False def execute(self, command): from subprocess import Popen, PIPE try: # the sub process gets started here proc = Popen([command], shell=True, stderr=PIPE) error = proc.communicate()[1] if error: raise OSError(error + '\ncheck ' + self.output) except OSError, e: print >> sys.stderr, 'Execution failed:', e sys.exit(1) def run(self): """Method which explicitely runs Nwchem.""" command = os.environ.get('NWCHEM_COMMAND', 'nwchem') # The label may contain escapable characters! self.execute(command + ' "' + \ self.label + '.nw" > "' + self.output + '"') def get_forces(self, atoms): self.get_potential_energy(atoms) return self.forces def get_ibz_k_points(self): return np.array([0., 0., 0.]) def get_electronic_temperature(self): return self.electronic_temperature def read_smear(self): smear = None for line in open(self.label + '.out'): # find last one if line.find('Smearing applied:') != -1: smear = float(line.split(':')[1].split()[0].strip().lower().replace('d', 'e')) return smear def get_number_of_bands(self): return self.nvector def read_number_of_bands(self): nvector = 0 for line in open(self.label + '.out'): if line.find('Vector ') != -1: # count all printed vectors nvector += 1 if not nvector: nvector = None return nvector def get_number_of_electrons(self): return self.nelect def read_number_of_electrons(self): nelect = None for line in open(self.label + '.out'): # find last one if line.find('of electrons') != -1: nelect = float(line.split(':')[1].strip()) return nelect def get_number_of_iterations(self): return self.niter def read_number_of_iterations(self): niter = 0 for line in open(self.label + '.out'): if line.find('d= ') != -1: # count all iterations niter += 1 if not niter: niter = None return niter def get_magnetic_moment(self, atoms): return self.magnetic_moment def read_magnetic_moment(self): magmom = None for line in open(self.label + '.out'): if line.find('Spin multiplicity') != -1: # last one magmom = float(line.split(':')[-1].strip()) - 1 return magmom def get_magnetic_moments(self, atoms): # local magnetic moments are not available in nwchem # so set the total magnetic moment on the atom no. 0 and fill with 0.0 magmoms = [0.0 for a in range(len(atoms))] magmoms[0] = self.get_magnetic_moment(atoms) return np.array(magmoms) def get_dipole_moment(self, atoms=None): return self.dipole def read_dipole_moment(self): dipolemoment=[] for line in open(self.label + '.out'): for component in [ '1 1 0 0', '1 0 1 0', '1 0 0 1' ]: if line.find(component) != -1: value = float(line.split(component)[1].split()[0]) # total dipole component value = value * Bohr dipolemoment.append(value) if len(dipolemoment) == 0: dipolemoment = None return dipolemoment def get_potential_energy(self, atoms): # update atoms self.set_atoms(atoms) # if update of energy is neccessary if self.energy is None or self.forces is None: # write input file f = open(self.label + '.nw', 'w') if self.charge is not None: f.write('charge ' + str(self.charge) + '\n') write_nwchem(f, atoms, self.geometry) def format_basis_set(string, tag=self.basispar): formatted = tag + '\n' lines = string.split('\n') if len(lines) > 1: formatted += string else: formatted += ' * library ' + string + '\n' return formatted + 'end\n' basis = format_basis_set(self.basis) if self.ecp is not None: basis += format_basis_set(self.ecp, 'ecp') if self.so is not None: basis += format_basis_set(self.so, 'so') f.write(basis) if self.xc == 'RHF': task = 'scf' else: if self.spinorbit: task = 'sodft' else: task = 'dft' nwchem_xc_map = { 'LDA' : 'slater pw91lda', 'PBE' : 'xpbe96 cpbe96', } if self.xc in nwchem_xc_map: xc = nwchem_xc_map[self.xc] else: xc = self.xc f.write('\n' + task + '\n') f.write(' mult ' + str(self.multiplicity) + '\n') f.write(' xc ' + xc + '\n') f.write(' iterations ' + str(self.maxiter) + '\n') for key in self.convergence: if key == 'lshift': if self.convergence[key] is not None: if not (self.convergence[key] > 0.0): f.write(' convergence nolevelshifting\n') else: f.write(' convergence ' + key + ' ' + str(self.convergence[key]/Hartree) + '\n') else: if self.convergence[key] is not None: f.write(' convergence ' + key + ' ' + str(self.convergence[key]) + '\n') if self.smear is not None: f.write(' smear ' + str(self.smear) + '\n') if self.grid is not None: f.write(' grid ' + str(self.grid) + '\n') if self.tolerances is not None: f.write(' tolerances ' + str(self.tolerances) + '\n') if self.cgmin: f.write(' cgmin\n') if self.dftcontrol: f.write(self.dftcontrol + '\n') f.write('end\n') if self.control: f.write(self.control + '\n') # f.write('\ntask ' + task + ' gradient\n') f.write('\ntask ' + task + ' ' + self.task + '\n') f.close() # calculate energy self.output = self.label + '.out' self.run() # read output self.atoms = read_nwchem(self.output) self.read_energy() if self.task.find('gradient') > -1: self.read_forces() self.niter = self.read_number_of_iterations() self.nelect = self.read_number_of_electrons() self.nvector = self.read_number_of_bands() self.magnetic_moment = self.read_magnetic_moment() self.electronic_temperature = self.read_smear() * Hartree self.dipole = self.read_dipole_moment() else: print 'taking old values (E)' return self.energy * Hartree def read_energy(self): """Read Energy from nwchem output file.""" text = open(self.output, 'r').read() lines = iter(text.split('\n')) # Energy: for line in lines: estring = 'Total ' if self.xc == 'RHF': estring += 'SCF' else: estring += 'DFT' estring += ' energy' if line.find(estring) >=0: energy = float(line.split()[4]) break self.energy = energy # Eigenstates spin = -1 kpts = [] for line in lines: if line.find('Molecular Orbital Analysis') >= 0: spin += 1 kpts.append(KPoint(spin)) if spin >= 0: if line.find('Vector') >= 0: line = line.lower().replace('d', 'e') line = line.replace('=', ' ') word = line.split() kpts[spin].f_n.append(float(word[3])) kpts[spin].eps_n.append(float(word[5])) self.kpts = kpts def read_forces(self): """Read Forces from nwchem output file.""" file = open(self.output, 'r') lines = file.readlines() file.close() for i, line in enumerate(lines): if line.find('ENERGY GRADIENTS') >=0: gradients = [] for j in range(i + 4, i + 4 + len(self.atoms)): word = lines[j].split() gradients.append([float(word[k]) for k in range(5,8)]) self.forces = - np.array(gradients) * Hartree / Bohr def get_eigenvalues(self, kpt=0, spin=0): """Return eigenvalue array.""" return np.array(self.kpts[spin].eps_n) * Hartree def get_occupation_numbers(self, kpt=0, spin=0): """Return occupation number array.""" return self.kpts[spin].f_n def get_number_of_spins(self): """Return the number of spins in the calculation. Spin-paired calculations: 1, spin-polarized calculation: 2.""" return len(self.kpts) def get_spin_polarized(self): """Is it a spin-polarized calculation?""" return len(self.kpts) == 2 def set_atoms(self, atoms): if self.atoms == atoms: return self.atoms = atoms self.energy = None self.forces = None if self.multiplicity is None: # obtain multiplicity from magnetic momenta multiplicity = 1 + atoms.get_initial_magnetic_moments().sum() self.multiplicity = int(multiplicity) if self.multiplicity != multiplicity: raise RuntimeError('Noninteger multiplicity not possible.\n' + 'Check initial magnetic moments.') else: if self.multiplicity != int(self.multiplicity): raise RuntimeError('Noninteger multiplicity not possible.') def update(self, atoms): self.set_atoms(atoms) python-ase-3.6.0.2515/ase/calculators/interface.py0000644000175400017540000001156711542731070020610 0ustar askhlaskhlimport numpy as np class Calculator: """Class for demonstrating the ASE-calculator interface. A good implementation of a calculator should store a copy of the atoms object used for the last calculation. When one of the *get_potential_energy*, *get_forces*, or *get_stress* methods is called, the calculator should check if anything has changed since the last calculation and only do the calculation if it's really needed. The Atoms class implements the methods *__eq__* and *__ne__* that can be used for checking identity (using *==* and *!=*): Two sets of atoms are considered identical if they have the same positions, atomic numbers, unit cell and periodic boundary conditions.""" def get_potential_energy(self, atoms=None, force_consistent=False): """Return total energy. Both the energy extrapolated to zero Kelvin and the energy consistent with the forces (the free energy) can be returned.""" return 0.0 def get_forces(self, atoms): """Return the forces.""" return np.zeros((len(atoms), 3)) def get_stress(self, atoms): """Return the stress.""" return np.zeros((3, 3)) def calculation_required(self, atoms, quantities): """Check if a calculation is required. Check if the quantities in the *quantities* list have already been calculated for the atomic configuration *atoms*. The quantities can be one or more of: 'energy', 'forces', 'stress', and 'magmoms'.""" return False def set_atoms(self, atoms): """Let the calculator know the atoms. This method is optional. If it exists, it will be called when the *Atoms.set_calculator()* method is called. *Don't* store a reference to *atoms* - that will create a cyclic reference loop! Store a copy instead.""" self.atoms = atoms.copy() class DFTCalculator(Calculator): """Class for demonstrating the ASE interface to DFT-calculators.""" def get_number_of_bands(self): """Return the number of bands.""" return 42 def get_xc_functional(self): """Return the XC-functional identifier. 'LDA', 'PBE', ...""" return 'LDA' def get_bz_k_points(self): """Return all the k-points in the 1. Brillouin zone. The coordinates are relative to reciprocal latice vectors.""" return np.zeros((1, 3)) def get_number_of_spins(self): """Return the number of spins in the calculation. Spin-paired calculations: 1, spin-polarized calculation: 2.""" return 1 def get_spin_polarized(self): """Is it a spin-polarized calculation?""" return False def get_ibz_k_points(self): """Return k-points in the irreducible part of the Brillouin zone. The coordinates are relative to reciprocal latice vectors.""" return np.zeros((1, 3)) def get_k_point_weights(self): """Weights of the k-points. The sum of all weights is one.""" return np.ones(1) def get_pseudo_density(self, spin=None, pad=True): """Return pseudo-density array. If *spin* is not given, then the total density is returned. Otherwise, the spin up or down density is returned (spin=0 or 1).""" return np.zeros((40, 40, 40)) def get_effective_potential(self, spin=0, pad=True): """Return pseudo-effective-potential array.""" return np.zeros((40, 40, 40)) def get_pseudo_wave_function(self, band=0, kpt=0, spin=0, broadcast=True, pad=True): """Return pseudo-wave-function array.""" return np.zeros((40, 40, 40)) def get_eigenvalues(self, kpt=0, spin=0): """Return eigenvalue array.""" return np.arange(42, float) def get_occupation_numbers(self, kpt=0, spin=0): """Return occupation number array.""" return np.ones(42) def get_fermi_level(self): """Return the Fermi level.""" return 0.0 def initial_wannier(self, initialwannier, kpointgrid, fixedstates, edf, spin, nbands): """Initial guess for the shape of wannier functions. Use initial guess for wannier orbitals to determine rotation matrices U and C. """ raise NotImplementedError return c, U def get_wannier_localization_matrix(self, nbands, dirG, kpoint, nextkpoint, G_I, spin): """Calculate integrals for maximally localized Wannier functions.""" def get_magnetic_moment(self, atoms=None): """Return the total magnetic moment.""" return self.occupation.magmom def get_number_of_grid_points(self): """Return the shape of arrays.""" return self.gd.N_c python-ase-3.6.0.2515/ase/calculators/jacapo/0000755000175400017540000000000011757245036017533 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/calculators/jacapo/pw91_psp.py0000644000175400017540000000652211224640334021561 0ustar askhlaskhl""" Default pseudopotential paths are defined here """ __docformat__ = 'reStructuredText' defaultpseudopotentials = {'H':'ch_e9g4.pseudo', # H 'Li':'Li_us_cc.pseudo', # Li 'Be':'Be_us_cc.pseudo', # Be 'B':'B_us_cc.pseudo', # B 'C':'C_us_gga.pseudo', # C 'N':'N_us.pseudo', # N 'O':'co_gef_e13_gga.pseudo', # O 'F':'F_pw91_us_7.3.4.pseudo', # F 'Na':'Na_tm_lda_cc.pseudo', # Na 'Mg':'mg_us_gga.pseudo', # Mg 'Al':'Al_us_gga_org.pseudo', # Al 'Si':'csi_e8ag4.pseudo', # Si 'P':'P_us.pseudo', # P 'S':'S_tm.pseudo', # S 'Cl':'Cl_us_gga.pseudo', # Cl 'K':'k_us_gga.pseudo', # K 'Ca':'Ca_us_cc_pw91.pseudo', # Ca 'Sc':'Sc_us_cc_pw91.pseudo', # Sc 'Ti':'ti_us_gga.pseudo', # Ti 'V':'V_us_pw91_13elec.pseudo', # V 'Cr':'Cr_us_pw91_14elec.pseudo', # Cr 'Mn':'Mn_us_gga.pseudo', # Mn 'Fe':'Fe_us_gga_d2.1.8.pseudo', # Fe 'Co':'Co_us_gga.pseudo', # Co 'Ni':'Ni_us_gga.pseudo', # Ni 'Cu':'Cu_us_gga.pseudo', # Cu 'Zn':'zn_us_gga.pseudo', # Zn 'Ga':'ga_pw91_us_13elec.pseudo', # Ga 'Ge':'ge_pw91_us_14elec.pseudo', # Ge 'As':'as_pw91_us_15elec.pseudo', # As 'Kr':'Kr_us_gga.pseudo', # Kr 'Sr':'Sr_us_cc_pw91.pseudo', # Sr 'Y':'Y_us_cc_pw91.pseudo', # Y 'Zr':'Zr_us_gga.pseudo', # Zr 'Nb':'Nb_us_pw91_13elec.pseudo', # Nb 'Mo':'Mo_us.pseudo', # Mo 'Ru':'Ru_us_gga.pseudo', # Ru 'Rh':'Rh_us_gga_fl.pseudo', # Rh 'Pd':'pd_us_gga.pseudo', # Pd 'Ag':'ag_us.pseudo', # Ag 'Cd':'Cd_us_gga.pseudo', # Cd 'Sn':'sn_us_f.pseudo', # Sn 'Sb':'sb_us_gga.pseudo', # Sb 'Te':'te_tm.pseudo', # Te 'Xe':'Xe_us_gga.pseudo', # Xe 'Cs':'cs_tm_7el.pseudo', # Cs 'Ba':'Ba_us_cc_pw91.pseudo', # Ba 'La':'La_us_cc_pw91.pseudo', # La 'Ta':'Ta_us_pw91_13elec.pseudo', # Ta 'W':'W_us_pw91_6elec.pseudo', # W 'Re':'re_us_gga_7elec.pseudo', # Re 'Os':'os_us_gga_7elec_7.3.4.pseudo', # Os 'Ir':'ir_us_gga_flocal.pseudo', # Ir 'Pt':'pt_us_gga.pseudo', # Pt 'Au':'Au_us_gga.pseudo', # Au 'Bi':'Bi_us_gga.pseudo'} python-ase-3.6.0.2515/ase/calculators/jacapo/setup.py0000644000175400017540000000175011207230242021227 0ustar askhlaskhl#!/usr/bin/env python from distutils.core import setup from glob import glob from os.path import join import os import sys long_description = """\ Jacapo is a python package providing an interface to Dacapo that is compatible with the open source Atomic Simulation Environment in the python scripting language.""" if sys.version_info < (2, 3, 0, 'final', 0): raise SystemExit, 'Python 2.3 or later is required!' packages = ['Jacapo'] tools = ['tools/ncsum', 'tools/plotnetcdf', 'tools/pysub', 'tools/qn_relax', 'tools/stripnetcdf'] # Get the current version number: execfile('version.py') setup(name = 'python-Jacapo', version=version, description='Jacapo - ase + Dacapo', url='http://www.fysik.dtu.dk/Campos/ase', maintainer='John Kitchin', maintainer_email='jkitchin@andrew.cmu.edu', license='LGPL', platforms=['linux'], packages=packages, scripts=tools, long_description=long_description) python-ase-3.6.0.2515/ase/calculators/jacapo/__init__.py0000644000175400017540000000112011522612425021624 0ustar askhlaskhlimport Scientific import string from ase.test import NotAvailable try: version = string.split(Scientific.__version__,".") if map(int,version) < [2,8]: print 'your ScientifPython version is: ',Scientific.__version__ print 'ScientificPython 2.8 or greater required for numpy support in NetCDF' raise NotAvailable('ScientificPython version 2.8 or greater is required') except AttributeError: print 'It appears your ScientificPython has no version.' print 'That probably means it is not 2.8, which is required' raise Exception from jacapo import * python-ase-3.6.0.2515/ase/calculators/jacapo/tools/0000755000175400017540000000000011757245034020671 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/calculators/jacapo/tools/stripnetcdf0000755000175400017540000000107111224411772023134 0ustar askhlaskhl#!/usr/bin/env python from optparse import OptionParser from ase.calculators.jacapo import * from Scientific.IO.NetCDF import NetCDFFile as NetCDF parser = OptionParser(usage='stripnetcdf', version='0.1') options,args = parser.parse_args() for arg in args: #check if it is a dacapo file nc = NetCDF(arg,'r') if hasattr(nc,'history'): if nc.history != 'Dacapo': nc.close() continue else: nc.close() continue calc = Jacapo(arg) calc.strip() print 'stripped %s' % arg python-ase-3.6.0.2515/ase/calculators/jacapo/tools/printlocalsetup0000755000175400017540000001671411521312760024046 0ustar askhlaskhl#!/usr/bin/env python import os,string,sys # tell me about the architecture print 'Running as user: ', os.environ['USER'] print 'In directory: ',os.getcwd() try: import platform print '------------- system information ---------------' print 'Hostname = ',os.environ['HOST'] print 'Architecture = ',platform.architecture() print 'distribution = ',platform.dist() print 'libc version = ',platform.libc_ver() print 'Machine type = ',platform.machine() print 'Platform = ',platform.platform() print 'processor type = ',platform.processor() print 'system = ',platform.system() print 'system version = ',platform.version() print print '------------- Python information --------' print 'python was compiled with: ',platform.python_compiler() print 'python version = ',platform.python_version() print 'python was built: ',platform.python_build() except: print '*** you have an older version of python' print '*** you missed some important system information because of that' print '*** consider upgrading to version 2.3 or greater' print 'python version = ',sys.version print 'uname = ' os.system('uname -a') print '-------------- User ---------------------' shell = os.environ.get('SHELL') print 'SHELL = ',shell print try: import Numeric print 'Numeric version = ',Numeric.__version__ except: print '*** Numeric is not installed.' print '*** Get it from http://sourceforge.net/projects/numpy' try: import numarray print 'numarray version = ',numarray.__version__ except: print '*** numarray is not installed.' print '*** Get it from http://sourceforge.net/projects/numpy' try: import numpy print 'numpy version = ', numpy.__version__ except: print '*** numpy is not installed' try: import Scientific print 'Found Scientific' try: import Scientific.IO.NetCDF print 'Found Scientific.IO.NetCDF' except: print 'Scientific.IO.NetCDF appears broken.' print 'Is netcdf installed?' print 'did you set $NETCDF_PREFIX when you installed Scientific?' except: print '*** Scientific not installed' print '*** Get it at http://starship.python.net/~hinsen/ScientificPython/' try: import ASE print 'Found ASE at ', ASE.__file__ except Exception,error: print error print '*** No ASE found. Did you install it?' try: import ase print 'Found an ase version: "%s"' % ase.__version__ print 'at :',ase.__file__ except: print '*** No ase found. Did you install it?' try: import Dacapo print 'Found Dacapo python modules' except: print '*** No Dacapo modules found, did you install them?' print ' Get them at dcwww.fysik.dtu.dk/campos' try: import Gnuplot print 'Found Gnuplot python module' except: print '*** No Gnuplot module found' try: import matplotlib print 'Found matplotlib version: ',matplotlib.__version__ except: print 'no matplotlib found' libs = ['cblas', 'lapack', 'f77blas', 'atlas', 'fftw', 'netcdf', 'lamf77mpi'] libpaths = ['/lib', '/usr/lib', '/usr/local/lib', os.path.join(os.environ['HOME'],'lib'), ] if 'LD_LIBRARY_PATH' in os.environ: for libpath in os.environ['LD_LIBRARY_PATH'].split(':'): libpaths.append(libpath) print print '------------------ libraries ------------------' for lib in libs: found = False for path in libpaths: if os.path.exists(os.path.join(path,'lib%s.a' % lib)): found = True print 'found %s in %s' % ('lib%s.a' % lib,path) if not found: print '*** Could not find lib%s.a' % lib def IsOnPath(file): if os.path.isabs(file): if os.path.exists(file): return file else: return False else: path = string.split(os.environ['PATH'],':') for dir in path: if os.path.isdir(dir): if file in os.listdir(dir): return os.path.join(dir,file) return False def FileIsExecutable(file): if file is not None: return os.access(file,os.X_OK) else: return False print print '------------------- compilers -----------------' c = ['pgf90','pgf77', 'ifort','ifc', 'g95', 'gcc','g77','f77', 'f90', 'mpif77','mpf90', 'xlf_r','xlf90_r','mpxlf_r' ] for compiler in c: if IsOnPath(compiler): print '%s found' % compiler else: print '*** %s not found' % compiler print print '-------------- Check for ASE and Dacapo tools -------------' dacapo_tools = ['dacapo.run', 'stripnetcdf' ] for exe in dacapo_tools: f = IsOnPath(exe) if f: if FileIsExecutable(f): print '%s found at %s' % (exe,f) else: print '%s found, but it is not executable' % exe else: print '%s not found' % exe print 'Dacapo/Tools is not on your executable path' ase_executables = ['plottrajectory'] for exe in ase_executables: f = IsOnPath(exe) if f: if FileIsExecutable(f): print '%s found at %s' % (exe,f) else: print '%s found, but it is not executable' % exe else: print '*** %s not found' % exe print 'ASE/Tools is not on your executable path' print print '-------- Location of dacapo executables ------------' exe = os.environ.get('DACAPOEXE_SERIAL',None) f = IsOnPath(exe) if f: if FileIsExecutable(f): print 'default serial executable is: %s' % (exe) else: print '%s found, but it is not executable' % exe else: print '*** %s not found' % exe print 'No default serial dacapo executable found' exe = os.environ.get('DACAPOEXE_PARALLEL',None) f = IsOnPath(exe) if f: if FileIsExecutable(f): print 'default parallel executable is: %s' % (exe) else: print '%s found, but it is not executable' % exe else: print '*** %s not found' % exe print 'No default parallel dacapo executable found' psp = os.environ.get('DACAPOPATH',None) if os.path.isdir(psp): print 'Pseudopotential database = ',psp else: print '*** "%s" is not a directory, please check $DACAPOPATH' print print '-----------miscellaneous utilities-------------' for exe in ['rasmol','gnuplot','vmd','vtk', 'rsync','ssh','scp']: f = IsOnPath(exe) if f: if FileIsExecutable(f): print '%s found at %s' % (exe,f) else: print '%s found, but it is not executable' % exe else: print '*** %s not found on your path' % exe print print '--------------- mpi ------------------' for exe in ['recon','lamboot','mpirun','lamhalt']: f = IsOnPath(exe) if f: if FileIsExecutable(f): print '%s found at %s' % (exe,f) else: print '%s found, but it is not executable' % exe else: print '*** %s not found' % exe print 'maybe you do not have lam-mpi installed' print print '---------- PYTHON environment variables -------------' print 'PYTHONSTARTUP = ',os.environ.get('PYTHONSTARTUP') print 'PYTHONOPTIMIZE = ',os.environ.get('PYTHONOPTIMIZE') print 'PYTHONPATH:' for x in sys.path: print '"%s"' % x print print '----------- system path --------------------' path = os.environ.get('PATH') for x in string.split(path,':'): print '"%s"' % x python-ase-3.6.0.2515/ase/calculators/jacapo/tools/ncsum0000755000175400017540000000224611521312656021742 0ustar askhlaskhl#!/usr/bin/env python from optparse import OptionParser from ase.visualize import view from ase.calculators.jacapo import * from Scientific.IO.NetCDF import NetCDFFile as NetCDF import os os.environ['DACAPO_READONLY'] = 'On' parser = OptionParser(usage='ncsum', version='0.1') parser.add_option('-e', nargs=0, help = 'print only the energy') parser.add_option('-p', nargs=0, help='view atoms') parser.add_option('-r', nargs=1, help='repeat plotted atoms in n1,n2,n3 times') options,args = parser.parse_args() for arg in args: calc = Jacapo(arg) atoms = calc.get_atoms() if options.e is not None: nc = netCDF(arg,'r') energy = nc.variables.get('TotalEnergy',None) if energy is not None: print energy[:][-1] else: print None nc.close() else: print calc if options.p is not None: if options.r is not None: n1,n2,n3 = [int(x) for x in options.r.split(',')] else: n1,n2,n3 = (1,1,1) view(atoms.repeat([n1,n2,n3])) python-ase-3.6.0.2515/ase/calculators/jacapo/tools/plotnetcdf0000755000175400017540000000214511224411772022754 0ustar askhlaskhl#!/usr/bin/env python from optparse import OptionParser import os, tempfile from ase.calculators.jacapo import * from ase.io.pdb import * parser = OptionParser(usage='%prog [-r R1 R2 R3]] ncfile', version='%prog 0.1') parser.add_option('-r', '--repeat', type='int', nargs=3, help='Repeat R1, R2, R3 times along the three axes', metavar='R1 R2 R3') parser.add_option('-t', '--time', type='int', nargs=1, help='sleep for t seconds', metavar='t') options, args = parser.parse_args() ncfile = args[0] if options.repeat is None: options.repeat = (1,1,1) atoms = Jacapo.read_atoms(ncfile) handle,tempfilename = tempfile.mkstemp() write_pdb(tempfilename,atoms.repeat(options.repeat)) script = '''\ zap load %s script %s/.rasmolrc select all spacefill #rotate x 180 #rotate z 180 ''' % (tempfilename,os.environ['HOME']) handle,tempscriptname = tempfile.mkstemp() f = open(tempscriptname,'w') f.write(script) f.close() os.system('rasmol -script %s' % tempscriptname) os.remove(tempfilename) os.remove(tempscriptname) python-ase-3.6.0.2515/ase/calculators/jacapo/tools/qn_relax0000755000175400017540000000512211521313673022422 0ustar askhlaskhl#!/usr/bin/env python from torque import * from ase import * from ase.optimize import QuasiNewton from ase.constraints import FixAtoms from ase.calculators.jacapo import * import os, string, sys, tempfile from optparse import OptionParser ''' qn_relax -q "-l cput=168:00:00,mem=2000mb -l nodes=3 -j oe" relax atoms tagged with 5 and 6 qn_relax -t 5,6 ''' parser = OptionParser(usage='qn_relax', version='0.1') parser.add_option('-q', nargs=1, help = 'submit job to the queue with options to qsub') parser.add_option('-n', nargs=1, help = 'number of nodes to ask for') parser.add_option('-t', nargs=1, help = 'specify which tags to relax, comma-separated list') options,args = parser.parse_args() for ncfile in args: base,ext = os.path.splitext(ncfile) atoms = Jacapo.read_atoms(ncfile) if options.t is None: freetags = [1] elif options.t == 'all': freetags = atoms.get_tags() else: freetags = [int(x) for x in options.t.split(',')] #True means fixed mask = [atom.get_tag() not in freetags for atom in atoms] #if False not in mask: # raise Exception, 'No free atoms found!' atoms.set_constraint(FixAtoms(mask=mask)) if options.q is None: calc = atoms.get_calculator() calc.stay_alive = True qn = QuasiNewton(atoms,trajectory=base+'.traj') qn.run(fmax=0.05) else: h,fname = tempfile.mkstemp() script = '''\ #!/bin/tcsh cd $PBS_O_WORKDIR qn_relax -t %(tags)s %(ncfile)s #end''' % {'ncfile':ncfile, 'tags':string.join([str(t) for t in freetags],',')} print script f = open(fname,'w') f.write(script) f.close() qdict = {'short':'-l cput=24:00:00,mem=500mb -j oe', 'long':'-l cput=168:00:00,mem=500mb -j oe', 'hogs':'-l cput=24:00:00,mem=2500mb -j oe', 'hogl':'-l cput=168:00:00,mem=2800mb -j oe', } if options.q in qdict: qsub_options = qdict[options.q] else: qsub_options = options.q if options.n is not None: qsub_options += ' -l nodes=%i' % int(options.n) cmd = 'qsub -N %(name)s %(options)s %(script)s' % {'name':ncfile, 'options':qsub_options, 'script':fname} print cmd os.system(cmd) os.close(h) os.remove(fname) python-ase-3.6.0.2515/ase/calculators/jacapo/tools/dacapo.run0000755000175400017540000001363211437472103022650 0ustar askhlaskhl#!/usr/bin/env python ''' This script runs dacapo in either serial or parallel depending on the existance of an environment variable from a queue system. Three queue systems are currently supported: PBS PBS_NODEFILE Sun grid engine PE_HOSTFILE LoadLeveler LOADL_STEP_TYPE If one of these is found, then the parallel environement is set up for lam-mpi and the job run otherwise a serial job is run dacapo executables are found from one of these environment variables: DACAPOEXE_SERIAL default serial executable DACAPOEXE_PARALLEL default parallel executable You can trick it into running in parallel at the command line like this: env PBS_NODEFILE=pbs.nodes mydacapo.run CO.nc CO.nc -out CO.txt env PE_HOSTFILE=sge.nodes mydacapo.run CO.nc CO.nc -out CO.txt where pbs.nodes is a pbs-style nodefile and sge.nodes is a sun grid engine style nodefile python scripts as a rule tend to return zero I have found, even if you tell it to return something else with sys.exit(5) for example. The only thing I have been able to get to work is to return zero or not zero. sys.exit('anystring') makes the script return non-zero if an error occurs. That is why there are so many of these types of commands here. I use the non-zero status to know if an error has occurred during the calculation. John Kitchin 05/22/05 ''' import os,string,sys from subprocess import * ARGS = string.join(sys.argv[1:],' ') def RunSerialDacapo(ARGS): DACAPOEXE = os.environ.get('DACAPOEXE_SERIAL') if DACAPOEXE is None: raise Exception, 'DACAPOEXE_SERIAL was not found in your environment' cmd = string.join([DACAPOEXE,ARGS],' ') status = os.system(cmd) if status != 0: sys.exit('"%s" failed' % cmd) ### check if LoadLeveler ''' the loadleveler I am familiar with does not use a nodefile that the user needs to know aobut. it uses the poe command which does this stuff for you. according to an old note in the original dacapo.run shell script the nodelist can be found in $LOADL_PROCESSOR_LIST ''' if 'LOADL_STEP_TYPE' in os.environ.keys(): LL_type = os.environ.get('LOADL_STEP_TYPE') if LL_type == 'PARALLEL': os.environ['OMP_NUM_THREADS'] = '1' MPICMD = 'poe' DACAPOEXE = os.environ.get('DACAPOEXE_PARALLEL') parcmd = string.join([MPICMD,DACAPOEXE,ARGS],' ') status = os.system(parcmd) if status != 0: sys.exit('"%s" failed' % parcmd) elif LL_type == 'SERIAL': RunSerialDacapo(ARGS) ### next check for PBS or SGE elif ('PBS_NODEFILE' in os.environ.keys() or 'PE_HOSTFILE' in os.environ.keys()): #print 'PBS_NODEFILE = ',os.environ.get('PBS_NODEFILE') if 'PBS_NODEFILE' in os.environ.keys(): MACHINEFILE = os.environ.get('PBS_NODEFILE') NPROCS = len(open(MACHINEFILE,'r').readlines()) JOBID = os.environ.get('PBS_JOBID') import shutil nodefile = 'pbs.%s.nodes' % JOBID # i make a copy here for debugging purposes # it is deleted after the job if finished # and the PBS_NODEFILE is temporary somewhere anyway shutil.copy(MACHINEFILE,nodefile) # if its not PBS here it must be SGE, but # I check again anyway elif 'PE_HOSTFILE' in os.environ.keys(): ''' here is the typical contents of the PE_HOSTFILE n14.bc.rzg.mpg.de 2 all.q@n14.bc.rzg.mpg.de UNDEFINED o06.bc.rzg.mpg.de 2 all.q@o06.bc.rzg.mpg.de UNDEFINED n11.bc.rzg.mpg.de 2 all.q@n11.bc.rzg.mpg.de UNDEFINED below, I parse the contents of this file to create the nodefile for lam-mpi: n14.bc.rzg.mpg.de n14.bc.rzg.mpg.de o06.bc.rzg.mpg.de o06.bc.rzg.mpg.de n11.bc.rzg.mpg.de n11.bc.rzg.mpg.de ''' MACHINEFILE = os.environ.get('PE_HOSTFILE') JOBID = os.environ.get('JOB_ID') NPROCS = 0 nodefile = 'sge.%s.nodes' % JOBID nf = open(nodefile,'w') for line in open(MACHINEFILE,'r'): # nodename = fields[0] # ncpus = fields[1] # queue = fields[2] # UNDEFINED = fields[3] fields = string.split(line) if __debug__: print fields nodename = fields[0] nprocs = int(fields[1]) if __debug__: print nodename,nprocs for n in range(nprocs): nodeline = '%s\n' % (fields[0]) nf.write(nodeline) NPROCS += nprocs nf.close() if __debug__: print 'SGE_O_WORKDIR = ',os.environ.get('SGE_O_WORKDIR') print 'NHOSTS = ',os.environ.get('NHOSTS') print 'NSLOTS = ',os.environ.get('NSLOTS') if NPROCS > 1: # now construct the mpirun command MPICMD = 'mpirun -np %i' % NPROCS DACAPOEXE = os.environ.get('DACAPOEXE_PARALLEL') parcmd = string.join([MPICMD,DACAPOEXE,ARGS],' ') if __debug__: print parcmd print 'Running "%s"' % parcmd p = Popen(parcmd, shell=True, stdin=PIPE, stdout=PIPE, close_fds=True, cwd=os.getcwd()) p_pid = p.pid status = p.wait() if status != 0: (sout,serr) = p.communicate() print 'stdout = ',sout print 'stderr = ',serr all_is_ok = False print '**** the command failed ****' if not all_is_ok: sys.exit('"%s" failed' % parcmd) print print 'One iteration from parallel run complete' print '*******************************************************' print else: RunSerialDacapo(ARGS) else: # serial job, no parallel environment found. RunSerialDacapo(ARGS) #remove the nodefile try: if os.path.exists(nodefile): os.remove(nodefile) except: pass python-ase-3.6.0.2515/ase/calculators/jacapo/tools/pysub0000755000175400017540000000272311162147213021753 0ustar askhlaskhl#!/usr/bin/env python ''' this is pure laziness to submit python scripts to PBS without the usual cd $PBS_O_WORKDIR stuff ''' import os,sys, tempfile from optparse import OptionParser parser = OptionParser(usage='pysub', version='0.1') parser.add_option('-q', nargs=1, help = 'submit job to the queue with options to qsub') parser.add_option('-n', nargs=1, help='number of nodes to ask for') options,args = parser.parse_args() qdict = {'short':' -l cput=24:00:00,mem=500mb -j oe', 'long':' -l cput=168:00:00,mem=500mb -j oe', 'hogs':' -l cput=24:00:00,mem=2500mb -j oe', 'hogl':' -l cput=168:00:00,mem=2800mb -j oe',} for pyscript in args: h,fname = tempfile.mkstemp() cmd ='''\ #!/bin/tcsh cd $PBS_O_WORKDIR python %s #end''' % pyscript f = open(fname,'w') f.write(cmd) f.close() if options.q is None: qsub_options = '-l cput=24:00:00,mem=2500mb -j oe' elif options.q in qdict: qsub_options = qdict[options.q] else: qsub_options = options.q if options.n is not None: qsub_options += ' -l nodes=%i' % int(options.n) cmd = 'qsub -N %(name)s %(options)s %(script)s' % {'name':pyscript, 'options':qsub_options, 'script':fname} print cmd os.system(cmd) os.close(h) os.remove(fname) python-ase-3.6.0.2515/ase/calculators/jacapo/version.py0000644000175400017540000000002411165127543021561 0ustar askhlaskhlversion = '0.6.7' python-ase-3.6.0.2515/ase/calculators/jacapo/utils/0000755000175400017540000000000011757245036020673 5ustar askhlaskhlpython-ase-3.6.0.2515/ase/calculators/jacapo/utils/symmol.tar.gz0000644000175400017540000114005011306615121023325 0ustar askhlaskhl‹ÈKì]ÛnG’õ3¿"|±u#3"¯Ìè…w±¦ xöh©ej—ƒ¤=£ùúKFVu7ÙÔØ"¹^w™²Jݧò™yâD^Šëœ]þt±^úðÕ“]ž®#ýø‡ÿ²ò9]€¿ 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no version.' print 'That probably means it is not 2.8, which is required' raise Exception python-ase-3.6.0.2515/ase/calculators/jacapo/utils/bee.py0000644000175400017540000000253711332320460021767 0ustar askhlaskhl''' adapted from ASE/Utilities/BEE.py ''' from math import sqrt import numpy as num import numpy.random as ra """Bayesian Error Estimation For details, see: "Bayesian Error Estimation in Density Functional Theory", J. J. Mortensen, K. Kaasbjerg, S. L. Frederiksen, J. K. Norskov, J. P. Sethna, K. W. Jacobsen, Phys. Rev. Lett. 95, 216401 (2005).""" # T # cost(c) = cost0 + 0.5 * (c - c0) H (c - c0) # # Cost function minimum value: cost0 = 3.4660625596 # Best fit parameters: c0 = num.array([1.000787451, 0.1926284063, 1.896191546]) # Hessian: # H = num.array([[ 1.770035168e+03, -3.732470432e+02, -2.105836167e+02], # [-3.732470432e+02, 1.188857209e+02, 6.054102443e+01], # [-2.105836167e+02, 6.054102443e+01, 3.211200293e+01]]) # # 0.5 * np * T = cost0 (np=3: number of parameters) T = cost0 * 2 / 3 def MakeEnsemble(N=1000, seed=117): ra.seed(seed) M = num.array([(0.066, -0.812, 1.996), (0.055, 0.206, 0.082), (-0.034, 0.007, 0.004)]) alpha = ra.normal(0.0, 1.0, (N, 3)) return c0 + num.dot(alpha, M) c = MakeEnsemble() def GetEnsembleEnergies(atoms, c=c): if hasattr(atoms, 'get_calculator'): coefs = atoms.get_calculator().get_ensemble_coefficients() else: coefs = atoms return coefs[0] + num.dot(c, coefs[1:]) python-ase-3.6.0.2515/ase/calculators/jacapo/utils/bader.py0000644000175400017540000001466311332320460022314 0ustar askhlaskhlimport commands, os, string, tempfile, shutil from ase import write from ase.units import Bohr class Bader: '''class for running bader analysis and extracting data from it. The class runs bader, extracts the charge density and outputs it to a cube file. Then you call different functions of the class to extract the charges, volumes, etc... ACF.dat contains the coordinates of each atom, the charge associated with it according to Bader partitioning, percentage of the whole according to Bader partitioning and the minimum distance to the surface. This distance should be compared to maximum cut-off radius for the core region if pseudo potentials have been used. BCF.dat contains the coordinates of each Bader maxima, the charge within that volume, the nearest atom and the distance to that atom. AtomVolumes.dat contains the number of each volume that has been assigned to each atom. These numbers correspond to the number of the BvAtxxxx.dat files. The options for the executable are:: bader [ -c bader | voronoi ] [ -n bader | voronoi ] [ -b neargrid | ongrid ] [ -r refine_edge_iterations ] [ -ref reference_charge ] [ -p all_atom | all_bader ] [ -p sel_atom | sel_bader ] [volume list] [ -p atom_index | bader_index ] [ -i cube | chgcar ] [ -h ] [ -v ] chargefile References: G. Henkelman, A. Arnaldsson, and H. Jonsson, A fast and robust algorithm for Bader decomposition of charge density, Comput. Mater. Sci. 36 254-360 (2006). E. Sanville, S. D. Kenny, R. Smith, and G. Henkelman An improved grid-based algorithm for Bader charge allocation, J. Comp. Chem. 28 899-908 (2007). W. Tang, E. Sanville, and G. Henkelman A grid-based Bader analysis algorithm without lattice bias, J. Phys.: Condens. Matter 21 084204 (2009). ''' def __init__(self,atoms): ''' ''' self.atoms = atoms #get density and write cube file calc = atoms.get_calculator() ncfile = calc.get_nc() base,ext = os.path.splitext(ncfile) x,y,z,density = calc.get_charge_density() cubefile = base + '_charge_density.cube' self.densityfile = cubefile if not os.path.exists(cubefile): write(cubefile, atoms,data=density*Bohr**3) #cmd to run for bader analysis. check if output exists so we #don't run this too often. acf_file = base + '_ACF.dat' if not os.path.exists(acf_file): #mk tempdir tempdir = tempfile.mkdtemp() cwd = os.getcwd() os.chdir(tempdir) cmd = 'bader %s' % abscubefile status,output = commands.getstatusoutput(cmd) if status != 0: print output shutil.copy2('ACF.dat',os.path.join(cwd,acf_file)) os.chdir(cwd) shutil.rmtree(tempdir) self.charges = [] self.volumes = [] #now parse the output f = open(acf_file,'r') #skip 2 lines f.readline() f.readline() for i,atom in enumerate(self.atoms): line = f.readline() fields = line.split() n = int(fields[0]) x = float(fields[1]) y = float(fields[2]) z = float(fields[3]) chg = float(fields[4]) mindist = float(fields[5]) vol = float(fields[6]) self.charges.append(chg) self.volumes.append(vol) f.close() def get_bader_charges(self): return self.charges def get_bader_volumes(self): 'return volumes in Ang**3' return [x*Bohr**3 for x in self.volumes] def write_atom_volume(self,atomlist): '''write bader atom volumes to cube files. atomlist = [0,2] #for example -p sel_atom Write the selected atomic volumes, read from the subsequent list of volumes. ''' alist = string.join([str(x) for x in atomlist],' ') cmd = 'bader -p sel_atom %s %s' % (alist,self.densityfile) print cmd os.system(cmd) def write_bader_volume(self,atomlist): """write bader atom volumes to cube files. :: atomlist = [0,2] # for example -p sel_bader Write the selected Bader volumes, read from the subsequent list of volumes. """ alist = string.join([str(x) for x in atomlist],' ') cmd = 'bader -p sel_bader %s %s' % (alist,self.densityfile) print cmd os.system(cmd) def write_atom_index(self): ''' -p atom_index Write the atomic volume index to a charge density file. ''' cmd = 'bader -p atom_index %s' % (self.densityfile) print cmd os.system(cmd) def write_bader_index(self): ''' -p bader_index Write the Bader volume index to a charge density file. ''' cmd = 'bader -p bader_index %s' % (self.densityfile) print cmd os.system(cmd) def write_all_atom(self): ''' -p all_atom Combine all volumes associated with an atom and write to file. This is done for all atoms and written to files named BvAtxxxx.dat. The volumes associated with atoms are those for which the maximum in charge density within the volume is closest to the atom. ''' cmd = 'bader -p all_atom %s' % (self.densityfile) print cmd os.system(cmd) def write_all_bader(self): ''' -p all_bader Write all Bader volumes (containing charge above threshold of 0.0001) to a file. The charge distribution in each volume is written to a separate file, named Bvolxxxx.dat. It will either be of a CHGCAR format or a CUBE file format, depending on the format of the initial charge density file. These files can be quite large, so this option should be used with caution. ''' cmd = 'bader -p all_bader %s' % (self.densityfile) print cmd os.system(cmd) if __name__ == '__main__': from Jacapo import * atoms = Jacapo.read_atoms('ethylene.nc') b = Bader(atoms) print b.get_bader_charges() print b.get_bader_volumes() b.write_atom_volume([3,4]) python-ase-3.6.0.2515/ase/calculators/jacapo/utils/sgroup.tar.gz0000644000175400017540000045254511306607235023351 0ustar askhlaskhl‹Kì½ `\Gy(¼~%òÆ' „'É–äóÞ];JâÈ2vñCø!ŽQdim­£ÒÊq—Pǽq…iÚ7½zÓz¡—¶ôAoÚÂßPÒ&é¥%mÓÞPìÔmCo\§mÚJŠÿyŸ™93çÌÙ]­üØG³3óÍ7ß|3óÍ7߼ʇÇ&GËÓkrs÷Ùà+6pøúÐöQ8ùrŽãÙah¡çälǵC;gsHûf¦«ƒS–•;X-OWàÆ«Ó•±fPÔÔ¯Lë|ðÐ}Ýc•Ñ9hÙëß  UÿÍøâõÿžÞ$Ndþ`‡¾¶þÂíHõŸ³ìF¡û.ñú¿}jðÐ`eÚ¬V+CåµÖ&Ð"LŒŽæóü-þÛÇ{†ò–Û]¢~0@ð¹ÝE¯€<Ñàèä‡k_¹Êù Ž æ­’ÝM ½ŽSê.áÏËçó=ð³6”‡&Æ&'¦+ÕÊĸ5±ß/ßkíœ%:TªNLM[‡ÊSVe|r¦J"Pʼåt3Ô6ûýº¹««Ërò\—Bs°è§#‚y˜jkÛÌØ>@ v°:16 ˆ³†Ê££k¿„Z´PÓkóv?Odò{ ‡>¯€ØKé˜/¿¦rhp´<^Å´t‚|+Às`jbfÒÚ?1e•‡F¬é‰©êZĸ|~'øm£"¬… ²¶ Ž•§ai¸¤k­®p̵È_ËÚà@ÈXåÀª# €O‹Ú æ+näҊᢰãŠ0ô‡ÃÃx°•KüÆÈXnYï±Ú‰)îẼæeY½˜)= 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We only need P1, P2, P3, and P5 P1 = np.array([x[i,j,k],y[i,j,k],z[i,j,k]]) P2 = np.array([x[i+1,j,k],y[i+1,j,k],z[i+1,j,k]]) P3 = np.array([x[i,j+1,k],y[i,j+1,k],z[i,j+1,k]]) P5 = np.array([x[i,j,k+1],y[i,j,k+1],z[i,j,k+1]]) #values of u at edge of cell u1 = u[i,j,k] u2 = u[i+1,j,k] u3 = u[i,j+1,k] u4 = u[i+1,j+1,k] u5 = u[i,j,k+1] u6 = u[i+1,j,k+1] u7 = u[i,j+1,k+1] u8 = u[i+1,j+1,k+1] #cell basis vectors, not the unit cell, but the voxel cell containing the point cbasis = np.array([P2-P1, P3-P1, P5-P1]) #now get interpolated point in terms of the cell basis s = np.dot(np.linalg.inv(cbasis.T),np.array([xi,yi,zi])-P1) #now s = (sa, sb, sc) which are fractional coordinates in the vector space #next we do the interpolations ui1 = u1 + s[0]*(u2-u1) ui2 = u3 + s[0]*(u4-u3) ui3 = u5 + s[0]*(u6-u5) ui4 = u7 + s[0]*(u8-u7) ui5 = ui1 + s[1]*(ui2-ui1) ui6 = ui3 + s[1]*(ui4-ui3) ui7 = ui5 + s[2]*(ui6-ui5) return ui7 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lengths of the vectors a = A.length()#*angstroms2bohr b = B.length()#*angstroms2bohr c = C.length()#*angstroms2bohr # angles between the vectors rad2deg = 360./(2.*math.pi) alpha = B.angle(C)*rad2deg beta = A.angle(C)*rad2deg gamma = A.angle(B)*rad2deg scaledpositions = atoms.get_scaled_positions() chemicalsymbols = [atom.get_symbol() for atom in atoms] input = '' input += '%1.3f %1.3f %1.3f %1.3f %1.3f %1.3f\n' % (a,b,c, alpha,beta,gamma) input += '1 1 0.1 0.1\n' for atom in atoms: sym = atom.get_symbol() group = 1 x,y,z = atom.get_position() #format(a6,i2,6f9.5) input += str(FortranLine((sym, group, x,y,z), FortranFormat('a6,i2,3f9.5')))+'\n' pin,pout = os.popen2('symmol') pin.writelines(input) pin.close() self.output = pout.readlines() pout.close() if outfile: f = open(outfile,'w') f.writelines(self.output) f.close() if os.path.exists('symmol.log'): os.remove('symmol.log') def __str__(self): return string.join(self.output) def get_point_group(self): regexp = re.compile('^ Schoenflies symbol') for line in self.output: if regexp.search(line): return line def get_moments_of_inertia(self): regexp = re.compile('^ PRINCIPAL INERTIA MOMENTS and DEGENERATION DEGREE') lines = open('symmol.out').readlines() for i,line in enumerate(lines): if regexp.search(line): data = lines[i+1] break [Ia, Ib, Ic, degen] = data.split() return [float(Ia), float(Ib), float(Ic), int(degen)] def get_symmetry_operators(self): regexp = re.compile(' SYMMETRY GROUP MATRICES') reg2 = re.compile('^ \d+ CSM') lines = open('symmol.out').readlines() matrices = [] types = [] for i,line in enumerate(lines): if reg2.search(line): fields = line.split() types.append(fields[-1]) #type is at the end row1 = [float(x) for x in lines[i+1].split()] row2 = [float(x) for x in lines[i+2].split()] row3 = [float(x) for x in lines[i+3].split()] matrices.append(np.array([row1, row2, row3])) return (matrices, types) if __name__ == '__test__': from ase import Atoms from ase.data import molecules mol = 'NH3' atoms = Atoms(mol, positions = molecules.data[mol]['positions']) sg = SYMMOL(atoms) print sg.get_point_group() print sg.get_moments_of_inertia() print atoms.get_moments_of_inertia() print sg.get_symmetry_operators() if __name__ == '__main__': from ase.calculators.jacapo import * from optparse import OptionParser parser = OptionParser(usage='symmol.py ncfile', version='0.1') parser.add_option('-f', nargs=0, help = 'print full output') parser.add_option('-o', nargs=1, help = 'save output in filename') options,args = parser.parse_args() for ncfile in args: sy = SYMMOL(Jacapo.read_atoms(ncfile),outfile=options.o) print 'Point group = ',sy.get_point_group() print 'Moments of inertia = ',sy.get_moments_of_inertia() print 'Symmetry operators = ',sy.get_symmetry_operators() if options.f is not None: print sy python-ase-3.6.0.2515/ase/calculators/jacapo/utils/bandstructure.py0000644000175400017540000001566111332320460024123 0ustar askhlaskhlimport os import numpy as np import matplotlib.pyplot as plt from ase.calculators.jacapo import * from ase.dft.dos import DOS class BandStructure: '''outline of class to facilitate band structure calculations ''' def __init__(self, atoms, BZpath=[], npoints=10, outnc='harris.nc'): """Headline here ... XXX. atoms is an ase.Atoms object with calculator attached. Presumably the self-consistent charge density has already been calculated, otherwise, it will be. BZpath is a list of tuples describing the path through the Brillouin zone. The tuples have the form (label, kpt), e.g. :: [('$\Gamma$',[0.0, 0.0, 0.0]), ('X',[0.0, 0.5, 0.5]), ('L',[0.5, 0.0, 0.0]), ('$\Gamma$',[0.0, 0.0, 0.0])] the label is used in the figure and can include latex markup. npoints is the number of points on each segment. It can either be a constant, which is used for every segment, or a list of integers that is an integer for each segment. """ self.atoms = atoms self.calc = atoms.get_calculator() #first, we make sure the charge density is up to date. self.calc.get_charge_density() self.ef = self.calc.get_ef() #self-consistent fermi level self.labels = [x[0] for x in BZpath] self.kpt_path = [np.array(x[1],dtype=np.float) for x in BZpath] self.npoints = npoints #first, setup the kpt path kpts = [] #start at second kpt and go to second to last segment nsegments = len(self.kpt_path) - 1 for i in range(nsegments-1): #get number of points on path. this counts the first point try: i_npt = npoints[i] except TypeError: i_npt = npoints #this is the vector connecting the two endpoint kpts of a segment kdiff = self.kpt_path[i+1] - self.kpt_path[i] #make a vector of evenly spaced intervals, one longer than needed #because we chop off the last entry. for j in np.linspace(0,1,i_npt+1)[0:-1]: k = self.kpt_path[i] + j*kdiff #shift by small random amount to break symmetry and #prevent time-inversion reduction krand = (1. + np.random.random(3))/1.e4 k += krand kpts.append(k) #now fill in the last segment, and end on the last point try: i_npt = npoints[-1] except TypeError: i_npt = npoints kdiff = self.kpt_path[-1] - self.kpt_path[-2] for j in np.linspace(0,1,i_npt+1)[1:]: k = self.kpt_path[-2] + j*kdiff #shift by small random amount to break symmetry and #prevent time-inversion reduction krand = (1. + np.random.random(3))/1.e4 k += krand kpts.append(k) #these are now the points needed for the Harris calculation. self.kpts = kpts self.dos = DOS(self.calc) self.dos_energies = self.dos.get_energies() self.dos_dos = self.dos.get_dos() #try to avoid rerunning the calculation if it is already done! if os.path.exists(outnc): self.calc = Jacapo(outnc) else: print 'calculation of harris required' self.calc.set_nc(outnc) #self.calc.debug=10 #save some time by not calculating stress self.calc.set_stress(False) #this seems to be necessary sometimes self.calc.delete_ncattdimvar(outnc, ncdims=['number_plane_waves']) #this has to come after removing number_of_planewaves self.calc.set_kpts(self.kpts) #freeze charge density self.calc.set_charge_mixing(updatecharge='No') #and, run calculation self.calc.calculate() def plot(self): ''' Make an interactive band-structure plot. clicking on a band will make it thicker and print which band was selected. ''' kpoints = self.calc.get_ibz_kpoints() eigenvalues = self.calc.get_all_eigenvalues() - self.ef #eigenvalues = np.array([self.calc.get_eigenvalues(kpt=i)-self.ef # for i in range(len(kpoints))]) self.handles = [] #used to get band indexes from plot fig = plt.figure() #plot DOS in figure ax = fig.add_subplot(122) ax.plot(self.dos_dos,self.dos_energies) plt.title('self-consistent Total DOS') ax.set_xticks([]) ax.set_yticks([]) ax.set_ylim([-20,20]) ax = fig.add_subplot(121) ax.set_title('Band structure') def onpick(event): 'make picked line bolder, set oldline back to regular thickness' self.lastartist.set_linewidth(1) self.lastartist = thisline = event.artist thisline.set_linewidth(5) plt.draw() #needed to update linewidth print 'Band %i selected' % self.handles.index(thisline) #you could insert code here to plot wavefunction, etc... fig.canvas.mpl_connect('pick_event',onpick) #we use indices for x. the tick labels are not shown and the distance #appears unimportant xdata = range(len(eigenvalues)) nkpts, nbands = eigenvalues.shape for i in range(nbands): #eigenvalues has shape(nkpts,nbands) #note the comma after line_handle line_handle, = ax.plot(xdata,eigenvalues[:,i],'.-',ms=1,picker=2) self.handles.append(line_handle) self.lastartist = self.handles[-1] #plot Fermi level ax.plot([0,len(self.kpts)],[0,0],'k--',label='$E_f$') plt.xlabel('|k|') plt.ylabel('$E-E_f$ (eV)') #set xtick locations and labels xtick_locs = np.zeros(len(self.kpt_path)) try: #this means the npoints is a list i_npt = self.npoints[0] for j,npt in enumerate(1,self.npoints): xtick_locs[j] = xtick_locs[j-1] + npt except TypeError: #npoints is a single number for j in range(1,len(self.labels)): xtick_locs[j] = xtick_locs[j-1] + self.npoints #the last location is off by one, so we fix it. xtick_locs[-1] -= 1 ax.set_xlim([xtick_locs[0],xtick_locs[-1]]) ax.set_xticks(xtick_locs) ax.set_xticklabels(self.labels) #this seems reasonable to avoid very deep energy states and high energy states ax.set_ylim([-20,20]) plt.show() return fig python-ase-3.6.0.2515/ase/calculators/jacapo/utils/findsym.py0000755000175400017540000000577411332320460022716 0ustar askhlaskhl#!/usr/bin/env python ''' isotropy http://stokes.byu.edu/isolinux.html http://stokes.byu.edu/iso.tar.gz You will need to create a directory to unzip the above tarfile in, cd mkdir iso cd iso wget http://stokes.byu.edu/iso.tar.gz tar xvzf iso.tar.gz #put this in your .cshrc setenv ISODATA $HOME/iso/ set path=($HOME/iso $path) ''' import math,os,re,string from Scientific.Geometry import Vector class FINDSYM: def __init__(self,atoms,outfile=None): unitcell = atoms.get_cell() A = Vector(unitcell[0]) B = Vector(unitcell[1]) C = Vector(unitcell[2]) # lengths of the vectors a = A.length()#*angstroms2bohr b = B.length()#*angstroms2bohr c = C.length()#*angstroms2bohr # angles between the vectors rad2deg = 360./(2.*math.pi) alpha = B.angle(C)*rad2deg beta = A.angle(C)*rad2deg gamma = A.angle(B)*rad2deg scaledpositions = atoms.get_scaled_positions() chemicalsymbols = [atom.get_symbol() for atom in atoms] input = '' input += 'title \n' input += '0 tolerance\n' input += '2 lattice parameters in lengths and angles\n' input += '%1.3f %1.3f %1.3f %1.3f %1.3f %1.3f\n' % (a,b,c, alpha,beta,gamma) input += '1 3 basis vectors for unit cell\n' input += '1.00 0.00 0.00\n' input += '0.00 1.00 0.00\n' input += '0.00 0.00 1.00\n' input += '%i number of atoms\n' % len(atoms) types = '' for atom in atoms: types += str(atom.get_atomic_number()) + ' ' input += types + '\n' for i,atom in enumerate(atoms): input += '%1.3f %1.3f %1.3f\n' % tuple(scaledpositions[i]) pin,pout = os.popen2('findsym') pin.writelines(input) pin.close() self.output = pout.readlines() pout.close() if outfile: f = open(outfile,'w') f.writelines(self.output) f.close() if os.path.exists('findsym.log'): os.remove('findsym.log') def __str__(self): return string.join(self.output) def get_space_group(self): regexp = re.compile('^Space Group') for line in self.output: if regexp.search(line): return line if __name__ == '__main__': from ase.calculators.jacapo import * from optparse import OptionParser parser = OptionParser(usage='findsym.py ncfile', version='0.1') parser.add_option('-f', nargs=0, help = 'print full output') parser.add_option('-o', nargs=1, help = 'save output in filename') options,args = parser.parse_args() for ncfile in args: sg = FINDSYM(Jacapo.read_atoms(ncfile),outfile=options.o) print sg.get_space_group() if options.f is not None: print sg python-ase-3.6.0.2515/ase/calculators/jacapo/utils/sgroup.py0000755000175400017540000001347111521312574022564 0ustar askhlaskhl#!/usr/bin/env python ''' Get the space group for a ListOfAtoms can be called as a script on a netcdf file sgroup.py [-f] ncfile http://cpc.cs.qub.ac.uk/summaries/ADON.html PROGRAM SUMMARY [Licence| Download | E-mail] adon.tar.gz(69 Kbytes) Manuscript Title: Determination of the space group and unit cell for a periodic solid. Authors: B.Z. Yanchitsky, A.N. Timoshevskii Program title: SGROUP Catalogue identifier: ADON Journal reference: Comput. Phys. Commun. 139(2001)235 Programming language: C. Computer: Intel/Pentium, Alpha Workstation. Operating system: Slackware Linux 4.0, Digitial Unix 4.0D. RAM: 1M words Word size: 8 Keywords: Unit cell, Space group, Symmetry operations, Solid state physics, Crystal structure. Classification: 7.8. ''' import math,os,re,string,tempfile from Scientific.Geometry import * from Scientific.IO.FortranFormat import * from numpy import * class SGROUP: def __init__(self,atoms,outfile=None): '''outfile is where the results will be stored if you want them. Otherwise they go into a tempfile that is deleted.''' id,infile = tempfile.mkstemp() if outfile is None: od,ofile = tempfile.mkstemp() else: ofile = outfile unitcell = atoms.get_cell() A = Vector(unitcell[0]) B = Vector(unitcell[1]) C = Vector(unitcell[2]) # lengths of the vectors a = A.length()#*angstroms2bohr b = B.length()#*angstroms2bohr c = C.length()#*angstroms2bohr # angles between the vectors rad2deg = 360./(2.*math.pi) alpha = B.angle(C)*rad2deg beta = A.angle(C)*rad2deg gamma = A.angle(B)*rad2deg scaledpositions = atoms.get_scaled_positions() chemicalsymbols = [atom.get_symbol() for atom in atoms] f = open(infile,'w') f.write('P\n') f.write('%1.4f %1.4f %1.4f %1.4f %1.4f %1.4f\n' % (a,b,c, alpha,beta,gamma)) f.write('%i\n' % len(atoms)) for i,atom in enumerate(atoms): f.write('%1.4f %1.4f %1.4f\n' % tuple(scaledpositions[i])) f.write('%s\n\n' % chemicalsymbols[i]) f.close() os.system('sgroup %s %s' % (infile,ofile)) f = open(ofile,'r') self.output= f.readlines() f.close() os.unlink(infile) os.close(id) if outfile is None: os.unlink(ofile) os.close(od) # you must close the file descriptor or # eventually too many open files will occur # and cause an error when you are processing # many files. def __str__(self): return string.join(self.output) def get_space_group(self): 'returns spacegroup number' regexp = re.compile('^Number and name of space group:') for line in self.output: if regexp.search(line): line = line[32:] r2 = re.compile('^\d+') s = r2.search(line) if hasattr(s,'group'): return int(s.group()) else: return None def get_symmetry_operators(self): ''' gets symmetry operators from output it looks like this in the output. I am not sure what the 4th number is, it is called tau in Wien2k. I do not use it or return it here, but it is parsed, and could be returned. Number of symmetry operations: 48 Operation: 1 1.0 0.0 0.0 0.000 0.0 1.0 0.0 0.000 0.0 0.0 1.0 0.000 Operation: 2 -1.0 0.0 0.0 0.000 0.0 -1.0 0.0 0.000 0.0 0.0 1.0 0.000 Operation: 3 ''' re1 = '^Number of symmetry operations:' regexp = re.compile(re1) for i,line in enumerate(self.output): if regexp.search(line): # take integer after the colon nsymops = int (string.split(line,':')[-1]) index = i break symmetry_operators = [] taus = [] for s in range(nsymops): temparray=zeros((3,3)) temptau = [0,0,0] if int(string.split(self.output[index+1],':')[-1]) != s+1: raise Exception,'this symmetry operator %i does not match index' % s x,y,z,tau = [float(var) for var in string.split(self.output[index+2])] temparray[0] = [x,y,z] temptau[0] = tau x,y,z,tau = [float(var) for var in string.split(self.output[index+3])] temparray[1] = [x,y,z] temptau[1] = tau x,y,z,tau = [float(var) for var in string.split(self.output[index+4])] temparray[2] = [x,y,z] temptau[2] = tau # increase index for next operator index += 5 symmetry_operators.append(temparray) taus.append(array(temptau)) return symmetry_operators,taus if __name__ == '__main__': from ase.calculators.jacapo import * from optparse import OptionParser parser = OptionParser(usage='sgroup.py ncfile', version='0.1') parser.add_option('-f', nargs=0, help = 'print full output') parser.add_option('-o', nargs=1, help = 'save output in filename') options,args = parser.parse_args() #print options for ncfile in args: sg = SGROUP(Jacapo.read_atoms(ncfile),outfile=options.o) print sg.get_space_group() if options.f is not None: print sg python-ase-3.6.0.2515/ase/calculators/jacapo/utils/wannier.py0000644000175400017540000005661211332320460022702 0ustar askhlaskhl""" class Wannier provides the function get_wannier_localization_matrix and initial_wannier. """ import numpy as np from Scientific.IO.NetCDF import NetCDFFile as netCDF def dagger(matrix,copy=1): # First change the axis: (Does not allocate a new array) matrix_conj=np.swapaxes(matrix,0,1) if copy: # Allocate space for new array return np.conjugate(matrix_conj) else: # The array of matrix is used for output np.dot(matrix_conj.imag,-1,matrix_conj.imag) return matrix_conj def project(a,b): """ returns the projection of b onto a""" return a*(np.dot(np.conjugate(a),b)/np.dot(np.conjugate(a),a)) def translate(array,translation): """Method for translating an array""" newarray=array size=array.shape for dim in range(len(translation)): axis=dim-len(translation) newarray=np.concatenate((np.take(newarray,range(translation[dim],size[axis]),axis),np.take(newarray,range(translation[dim]),axis)),axis) return newarray.copy() def cartesian2scaled(basis,cart): return np.linalg.solve(np.transpose(basis),cart) def scaled2cartesian(basis,scaled): return np.dot(scaled,basis) class Translation_Operator: def __init__(self,dimensions,basis): self.set_dimensions(dimensions) self.set_basis(basis) def set_dimensions(self,dim): self.dimensions = dim def get_dimensions(self): return self.dimensions def set_basis(self,basis): self.basis = basis def get_basis(self): return self.basis def set_cartesian_translation_coordinates(self,trans_cartes): self.cartesian_translation_coordinates = trans_cartes def get_cartesian_translation_coordinates(self): return self.cartesian_translation_coordinates def get_coordinates(self): trans_cartes = self.get_cartesian_translation_coordinates() #trans_coor = np.linalg.solve(np.transpose(self.get_basis()),trans_cartes) trans_coor = cartesian2scaled(self.get_basis(),trans_cartes) return np.multiply(trans_coor,self.get_dimensions()) def get_translational_diagonal(self,dim_index): # Using that G = 2*pi*n/L : epx(-i*G*x_{1}) = # pow(exp(-i*2*pi/N*x_{1}),n) length = self.get_dimensions()[dim_index] coordinates = self.get_coordinates()[dim_index] basis_neg = np.arange(0,-length/2,-1) basis_pos = np.arange(length/2,0,-1) basis = np.concatenate((basis_neg,basis_pos),-1) prefactor=np.exp(-complex(0,1)*2*np.pi*coordinates/length) translation=map(lambda x,prefactor=prefactor:prefactor**x,basis) return np.array(translation) def operate(self,state): translation = np.multiply.outer(self.get_translational_diagonal(0),self.get_translational_diagonal(1)) translation = np.multiply.outer(translation,self.get_translational_diagonal(2)) return np.multiply(translation,state) def coordinate_array_from_unit_vectors(shape, gridunitvectors, origin=[0, 0, 0], indexfunction=None): """ This method can be used to obtain an array representing the coordinates of a space defined by 'gridunitvecors'. 'gridunitvectors' is in turn a list containing the vectors defining the cells of the grid, i.e. the vectors between neighboring grid points. These vectors are spanned according to the specified shape. 'origin' -- specifies the origin of the returned coordinate array. 'indexfunction' -- is a lambda expression that defines the indices with which each of the specified gridunitvectors are to be multiplied. 'indexfunction' must take two arguments, 'i' and 'length' - default is 'lambda i,length:i'. During exection the input index 'i' will run over the interval 0,1,..., 'length' -1. **An Example** To obtain a coordinate array of shape (10,10) with 'gridunitvectors' =[[2,0],[0,1]] and the origin at [10,0] use: 'CoordinateArrayFromUnitVectors((10,10),[[2,0],[0,1],[10,0])' Note that the output array will be of shape (< *dimension* > , < *spatialcoordinates* >). """ if indexfunction is None: indexfunction = lambda i, length: i coordinatelist=[] gridunitvectors=np.asarray(gridunitvectors) # Looping over the dimensionality of the vectors for dim in range(gridunitvectors.shape[1]): coordinates=origin[dim] # Contribution from each unitvector for nunitvector in range(gridunitvectors.shape[0]): # Finding the indices from which the coordinate grid # is spanned indices=map(lambda i,f=indexfunction,l=shape[nunitvector]:f(i,l),range(shape[nunitvector])) coordinatefunc=lambda i,v=gridunitvectors[nunitvector,dim]:i*v coordinates=np.add.outer(coordinates,map(coordinatefunc,indices)) coordinatelist.append(coordinates) return np.array(coordinatelist) def coordinates_from_function_values(dimensions,functionvalues): # In general: Using basis functions of the form: # 1/sqrt(N1*N2*N3)*exp(iG_dot_r) normalization=np.sqrt(np.multiply.reduce(dimensions)) # Functionvalues of the form (a,x_i,x_j,x_k), where # a is different functions and x_i,x_j,x_k the function values # Return array of the form (a,G_i,G_j,G_k) # The three last axes are transformed coordinates=np.fft.ifft(np.fft.ifft(np.fft.ifft(functionvalues,n=functionvalues.shape[-1],axis=-1),n=functionvalues.shape[-2],axis=-2),n=functionvalues.shape[-3],axis=-3) # Scaling: np.multiply(coordinates,normalization,coordinates) return coordinates class Wannier: def __init__(self,calc): self.calc = calc self.set_bands(None) self.set_spin(None) self.has_changed = True def set_spin(self,spin): self.spin = spin self.has_changed = True def get_spin(self): return self.spin def get_fft_index(self): if not hasattr(self,'fftindex'): fftindex = [] kpoints = self.calc.get_bz_k_points() for kpt in range(len(kpoints)): fftindex.append(self.calc.get_reciprocal_fft_index()) self.fftindex = fftindex return self.fftindex def get_grid_dimensions(self): fftgrids = self.calc.get_fftgrid() return fftgrids['soft'] def get_list_of_wave_functions(self): if self.get_spin() == None or self.get_bands() == None: raise "Bands and spin must be set before wave function list can be created" if self.has_changed: listofwavefct = [] kpoints = self.calc.get_bz_k_points() for kpt in range(len(kpoints)): eigenstates = [] for band in range(self.get_bands()): eigenstates.append(self.calc.get_reciprocal_bloch_function(band=band,kpt=kpt,spin=self.get_spin())) listofwavefct.append(eigenstates) self.listofwavefct = listofwavefct self.has_changed = False return self.listofwavefct def set_bands(self,numberofbands): self.numberofbands = numberofbands self.has_changed = True def get_bands(self): return self.numberofbands def get_zi_bloch_matrix(self,dirG,kpoint,nextkpoint,G_I): """ calculate matrix of ZIi,j values This matrix consist of 3 matrices each of dimension MxM, i.e. corresponding to the full space. """ #print 'DacapoWannier: Initialize ZIBlochMatrix ..' if self.get_bands() == None or self.get_spin() == None: raise "Bands and spin must be set before wannier localization matrix can be calculated" phi=np.swapaxes(np.array(self.get_list_of_wave_functions()[kpoint]),0,1) # K1 and reciprocal lattice vector G_I given kpoint K # that fulfills the criteria : K1-K-K0+G1=0 list1,list2 = self.get_gg_list(kpoint,nextkpoint,G_I) a=np.take(phi,list1,axis=0) a=np.swapaxes(a,0,1) phi1 = np.swapaxes(np.array(self.get_list_of_wave_functions()[nextkpoint]),0,1) b=np.take(phi1,list2,axis=0) ziblochmatrix = np.dot(np.conjugate(a),b) usziblochmatrix = self.get_ultra_soft_non_loc_matrix(dirG,kpoint,nextkpoint) ziblochmatrix += usziblochmatrix return ziblochmatrix def get_gg_list(self,kpt1,kpt2,GI): """ define list of (G,G+G1) defining the product phi(kpt1,G)*phi(kpt2,G+G1), GI is one of [[1,0,0],[0,1,0],[0,0,1],[1,1,0],[1,0,1],[0,1,1]] The layout of fourier components is 1 2 3 4 5 6 7 8 ngx = 8 0 1 2 3 4 -3 -2 -1 n*2pi/L """ numberplanewaves = len(self.get_list_of_wave_functions()[kpt1][0]) reciprocalindex = self.get_fft_index()[kpt1] ngrids = self.get_grid_dimensions() # setup the mapping from the 3D FFT grid to the wavefuction list map2 = self.get_index_map(kpt2) gglist = [] # print "Generating plane wave index list for direction ",GI," kpt12 ",kpt1,kpt2 list1 = [] list2 = [] # find G,G+GI for n in range(numberplanewaves): index = reciprocalindex[:,n] index = index - 1 # find G,G+GI for dir in range(3): index[dir] += GI[dir] if index[dir]>=ngrids[dir]: # wrap around index[dir] = 0 # now find the corresponding index into phi(kpt2) n1 = map2[index[0],index[1],index[2]] if n1>=0: list1.append(n) list2.append(n1) # print ' Number of elements in GG list ',len(list1) return list1,list2 def get_index_map(self,kpt): """ generate mapping from 3D FFT grid to the wavefunction list A negative number is returned from map(g1,g2,g3) is the grid point does not exists in the wavefunction list """ ngrids = self.get_grid_dimensions() map_to_wflist = np.zeros(ngrids,np.int) map_to_wflist = map_to_wflist - 1 numberplanewaves = len(self.get_list_of_wave_functions()[kpt][0]) reciprocalindex = self.get_fft_index()[kpt] for n in range(numberplanewaves): i0 = reciprocalindex[0][n]-1 i1 = reciprocalindex[1][n]-1 i2 = reciprocalindex[2][n]-1 map_to_wflist[i0,i1,i2] = n return map_to_wflist def get_ultra_soft_non_loc_matrix(self,GI,kpt,kpt1): """ calculate a I I I W = sum(n,m,I) * q i,j ik m n jk1 mn n,m : projectors I : atom no a (nbands,nbands) matrix is returned. """ nc = netCDF(self.calc.get_nc(),'r') if not 'WannierAugFactor' in nc.variables: nc.close() return # Read NLProjectorPsi, StructureFactor, WannierAugFactor vnlprojpsi = nc.variables['NLProjectorPsi'][:] nlprojpsi = np.zeros((np.shape(vnlprojpsi[:,:,:,:,:,0])),np.complex) nlprojpsi.real = vnlprojpsi[:,:,:,:,:,0] nlprojpsi.imag = vnlprojpsi[:,:,:,:,:,1] nlprojpsi = np.swapaxes(nlprojpsi,3,4) vstrfactor = nc.variables['StructureFactor'][:] strfactor = np.zeros((np.shape(vstrfactor[:,:,0])),np.complex) strfactor.real = vstrfactor[:,:,0] strfactor.imag = vstrfactor[:,:,1] vaugfactor = nc.variables['WannierAugFactor'][:] augfactor = np.zeros((np.shape(vaugfactor[:,:,:,:,0])),np.complex) augfactor.real = vaugfactor[:,:,:,:,0] augfactor.imag = vaugfactor[:,:,:,:,1] augfactor = np.swapaxes(augfactor,0,1) nc.close() lst=[[1,0,0],[0,1,0],[0,0,1],[1,1,0],[1,0,1],[0,1,1]] # find direction corresponding to GI dir = lst.index(GI.tolist()) natoms = nlprojpsi.shape[2] nbands = self.get_bands() matrix = np.zeros([nbands,nbands],np.complex) for atom in range(natoms): if kpt==kpt1: q=np.conjugate(augfactor[:,:,atom,dir+1]) else: q=augfactor[:,:,atom,0] if dir<3: q=q*np.conjugate(strfactor[atom,dir]) A=nlprojpsi[kpt,self.get_spin(),atom,:nbands,:] B=nlprojpsi[kpt1,self.get_spin(),atom,:nbands,:] matrix=matrix+np.dot(A,np.dot(q,dagger(B))) return matrix ##### code to calculate initial wannier functions ###### def set_data(self,data): self.data = data def set_k_point_grid(self,kpointgrid): self.kpointgrid = np.array(kpointgrid) def get_k_point_grid(self): return self.kpointgrid def get_repeated_unit_cell(self): basis=self.calc.get_atoms().get_cell() return np.transpose(np.transpose(basis)*self.get_k_point_grid()) def get_repeated_grid_dimensions(self): return self.get_grid_dimensions()*self.get_k_point_grid() def get_detailed_data(self): if not hasattr(self,'detaileddata'): """ Coverts data on the form [atom,l,(m),a], or [center,l,(m),a]. atom is a number in a bracket, example [2] for atom number 2 center is 3 numbers in a bracket, example [1,0.5,0.3] denoting SCALED coordinates of the center. Here m is optional. If m is left out all m values are used.""" datalist=self.data detaileddata=[] atoms=self.calc.get_atoms() for data in datalist: if len(data[0])==1: r_c=atoms[data[0][0]].get_position() elif len(data[0])==3: r_c = scaled2cartesian(atoms.get_cell(),data[0]) else: print "First element in initial data must be of the form [atom] or [c1,c2,c3], where the latter is scaled coordinates of the center" if len(data)==4: # m is specified detaileddata.append([r_c,data[1],data[2],data[3]]) else: # Orbitals with all allowed m values are produced for m in range(-data[1],data[1]+1): detaileddata.append([r_c,data[1],m,data[2]]) self.detaileddata = detaileddata return self.detaileddata def get_origin_index(self): griddim = self.get_repeated_grid_dimensions() originindex = map(lambda coor:int(coor),list(np.multiply(np.array([0.5,0.5,0.5]),griddim))) return originindex def get_cartesian_coordinates(self): griddim = self.get_repeated_grid_dimensions() basis = self.calc.get_atoms().get_cell() # Set origin to center of grid originindex = self.get_origin_index() # origincoord is in scaled coordinates: origincoord=-np.array(np.array(originindex,np.float)/griddim) origincart = scaled2cartesian(basis,origincoord) gridunitvectors = np.array(map(lambda unitvector,shape:unitvector/shape,basis,griddim)) c = coordinate_array_from_unit_vectors(shape=griddim, gridunitvectors=gridunitvectors, origin=origincart) return c def get_normalized_coordinates(self): if not hasattr(self,'normalized_coordinates'): originindex = tuple(self.get_origin_index()) c = self.get_cartesian_coordinates() dist = np.sqrt(c[0]**2+c[1]**2+c[2]**2) # We define "normalized" coordinates. To avoid undeterminancy at origin we move # to the point (1,1,1)*1e-8 c[0][originindex]=1.0e-8 c[1][originindex]=1.0e-8 c[2][originindex]=1.0e-8 dist[originindex]=np.sqrt(3)*1.0e-8 self.normalized_coordinates = c/dist return self.normalized_coordinates def get_distance_array_at_origin(self): # Set origin to center of grid originindex = self.get_origin_index() c = self.get_cartesian_coordinates() dist=np.sqrt(c[0]**2+c[1]**2+c[2]**2) # Translate back to origin dist=translate(dist,originindex) return dist def setup_m_matrix(self,listofeigenstates,bzkpoints): if self.data == None or self.kpointgrid == None: raise "Must set data, kpointgrid, spin before calculating M matrix" fftindex = self.get_fft_index() unitcell=self.get_repeated_unit_cell() griddim = self.get_repeated_grid_dimensions() data = self.get_detailed_data() nkpoints = len(bzkpoints) nbands = len(listofeigenstates[0]) M = np.zeros([nkpoints,nbands,len(data)],np.complex) orbital = np.zeros(griddim,np.complex) dist = self.get_distance_array_at_origin() transop = Translation_Operator(griddim,unitcell) rec_basis = 2*np.pi*np.linalg.inv(np.transpose(self.calc.get_atoms().get_cell())) large_rec_basis = 2*np.pi*np.linalg.inv(np.transpose(unitcell)) for i in range(len(data)): # Translate orbital r_c=data[i][0] l,m=data[i][1],data[i][2] a=data[i][3] orbital = self.get_cubic_harmonic_at_origin(l,m)*np.exp(-dist/a) orbital_fft = coordinates_from_function_values(griddim,orbital) transop.set_cartesian_translation_coordinates(r_c) orbital_fft = transop.operate(orbital_fft) for kpt in range(nkpoints): kpoint = bzkpoints[kpt] kptnumber = cartesian2scaled(large_rec_basis,scaled2cartesian(rec_basis,kpoint)) kptnumber[0]=round(kptnumber[0]) kptnumber[1]=round(kptnumber[1]) kptnumber[2]=round(kptnumber[2]) kptnumber=kptnumber.astype(int) u_k = self.extract_periodic_part_of_small_cell(orbital_fft,kptnumber) compact_u_k = self.get_compact_fft_representation(u_k,fftindex[kpt],len(listofeigenstates[kpt][0])) M[kpt,:,i] = np.dot(np.conjugate(np.array(listofeigenstates[kpt])),compact_u_k) self.mmatrix = M def get_cubic_harmonic_at_origin(self,l,m): """ l=0,1,2. m=-l,...,l""" griddim = self.get_repeated_grid_dimensions() harmonic = np.zeros(griddim,np.complex) originindex = self.get_origin_index() nc = self.get_normalized_coordinates() # Constructing cubic harmonic if l==0 and m==0: harmonic=(1/np.sqrt(4*np.pi))*np.ones(nc[0].shape,np.Complex) harmonic=translate(harmonic,originindex) if l==1 and m==0: # p_x harmonic=np.sqrt(3/(4*np.pi))*nc[0] harmonic=translate(harmonic,originindex) if l==1 and m==-1: # p_z harmonic=np.sqrt(3/(4*np.pi))*nc[2] harmonic=translate(harmonic,originindex) if l==1 and m==1: # p_y harmonic=np.sqrt(3/(4*np.pi))*nc[1] harmonic=translate(harmonic,originindex) if l==2 and m==0: harmonic=0.5*np.sqrt(5/(4*np.pi))*(3*(nc[0]**2)-np.ones(nc[0].shape,np.Complex)) harmonic=translate(harmonic,originindex) if l==2 and m==-1: harmonic=np.sqrt(15/(16*np.pi))*(nc[2]**2-nc[1]**2) harmonic=translate(harmonic,originindex) if l==2 and m==1: harmonic=np.sqrt(15/(4*np.pi))*nc[0]*nc[1] harmonic=translate(harmonic,originindex) if l==2 and m==-2: harmonic=np.sqrt(15/(4*np.pi))*nc[2]*nc[1] harmonic=translate(harmonic,originindex) if l==2 and m==2: harmonic=np.sqrt(15/(4*np.pi))*nc[2]*nc[0] harmonic=translate(harmonic,originindex) return harmonic def extract_periodic_part_of_small_cell(self,f,k): n1,n2,n3=self.get_k_point_grid() trans=[0,0,0] if k[0]<0: k[0]+=n1 trans[0]=self.get_grid_dimensions()[0]-1 if k[1]<0: k[1]+=n2 trans[1]=self.get_grid_dimensions()[1]-1 if k[2]<0: k[2]+=n3 trans[2]=self.get_grid_dimensions()[2]-1 u=f[k[0]::n1,k[1]::n2,k[2]::n3].copy() return translate(u,trans) def get_compact_fft_representation(self,freciprocal,fftindex,numberofpws): wflist=np.zeros([numberofpws],np.complex) for i in range(numberofpws): wflist[i]=freciprocal[int(fftindex[0,i]-1),int(fftindex[1,i]-1),int(fftindex[2,i]-1)] return wflist def get_orthonormality_factor(self,matrix): defect = abs(np.dot(dagger(matrix),matrix))-np.identity(matrix.shape[1],np.Float) return max(abs(defect.flat)) def get_list_of_coefficients_and_rotation_matrices(self,matrixdimensions): from ase.dft.wannier import normalize,gram_schmidt import random, copy M,N,L=matrixdimensions nkpt=len(N) Ulist=[] clist=[] if not hasattr(self,'mmatrix'): raise "Must setup M Matrix first!" coeffmatrix=self.mmatrix for kpt in range(nkpt): #First normalize the columns of coeffmatrix normalize(coeffmatrix[kpt]) T=coeffmatrix[kpt][N[kpt]:].copy() numberoforbitals=T.shape[1] c=np.zeros([M-N[kpt],L[kpt]],np.complex) U=np.zeros([N[kpt]+L[kpt],N[kpt]+L[kpt]],np.complex) # Initialize weights w=abs(np.sum(T*np.conjugate(T))) for i in range(min(L[kpt],numberoforbitals)): # Find index of maximal element in w t=w.tolist().index(max(w)) c[:,i]=T[:,t] # Orthogonalize c[:,i] on previous vectors for j in range(i): c[:,i]=c[:,i]-project(c[:,j],T[:,t]) c[:,i]=c[:,i]/np.sqrt(np.dot(c[:,i],np.conjugate(c[:,i]))) # Update weights w=w-abs(np.dot(np.conjugate(c[:,i]),T))**2 if numberoforbitals0: test = self.get_orthonormality_factor(c) if test>1.0e-3: print "ERROR: Columns of c not orthogonal!" U[:N[kpt],:numberoforbitals]=coeffmatrix[kpt][:N[kpt]] U[N[kpt]:,:numberoforbitals]=np.dot(dagger(c),coeffmatrix[kpt][N[kpt]:]) # Perform democratic Lowdin orthogonalization on U[:,numberoforbitals] gram_schmidt(U[:,:numberoforbitals]) if numberoforbitals<(N[kpt]+L[kpt]): #Supplement U by random vectors for i in range(numberoforbitals,N[kpt]+L[kpt]): for j in range(N[kpt]+L[kpt]): U[j,i]=random.random() # Finally orthogonalize everything # Note, only random vectors are affected gram_schmidt(U) # Test whether columns are orthonormal test = self.get_orthonormality_factor(U) if test>1.0e-3: print "ERROR: Columns of U not orthogonal for kpoint",kpt Ulist.append(U) clist.append(c) return clist,Ulist python-ase-3.6.0.2515/ase/calculators/jacapo/ChangeLog0000644000175400017540000000775011431306417021304 0ustar askhlaskhl2010-07-08 John Tester * jacapo.py (Jacapo.get_psp): added a line to return None when sym and z is None, that probably means nothing is being asked for, but that must be caught. 2010-06-16 John Tester * jacapo.py (Jacapo.set_nbands): added code to delete teh number_of)bands nc dimension. if you change the number of bands in a calculator, you need to delete this so that the new dimension can be fixed. (valid_kpts): changed ot (str(x.dtype)[0:5] to make sure the string comparison works. (valid_kpts): fixed to [0:7] 2010-06-02 John Tester * jacapo.py (ados_changed): fixed error in the comparison. it used to return True if ados was None and x is not None. I added cases for each possibility. (calculate_stress_changed): added. (xc_changed): added. 2009-12-21 John Tester * jacapo.py (get_dipole_moment): fixed code to actually calculate the dipole moment. 2009-12-08 John Tester * jacapo.py: fixed get_forces for when atoms is None, e.g. when the calculator itself tries to get the forces, not the atoms. (Jacapo.get_pseudopotentials): added this function. (Jacapo.get_ncoutput): added this function. (Jacapo.get_debug): added this function. (_set_electronic_minimization): added all the _set_kw methods 2009-04-14 John Tester * jacapo.py (Jacapo.get_spin_polarized): added variable existence check so that __str__ works if spin-polarization or nbands has not been defined. (read_only_atoms): added reading the constraints from the netcdf file (Jacapo.set_atoms): added support for saving a pickled string of the constraints to the netcdf file. 2009-04-02 Lars C Grabow * jacapo.py (Jacapo.initial_wannier): uses wannier.py instead of legacyASE2.py (Jacapo.get_wannier_localization_matrix): uses wannier.py instead of legacyASE2.py (Jacapo.get_pseudo_wave_function): new implementation without legacyASE2.py (Jacapo.get_wave_function): new implementation without legacyASE2.py (Jacapo.get_fftgrid): closed open nc file. (Jacapo.set_atoms): fixed the frame pointer bug (Jacapo.calculate): fixed the frame pointer bug (Jacapo.__init__): fixed the frame pointer bug (Jacapo.get_effective_potential): using get_fftgrid() to get hardgrid (Jacapo.get_electrostatic_potential): using get_fftgrid() to get hardgrid (Jacapo.get_charge_density): using get_fftgrid() to get hardgrid * utils/wannier.py: added. * legacyASE2.py: removed. * version.py: changed version number to 0.6.7 2009-03-24 Lars C Grabow * jacapo.py (__init__, __del__, _set_frame_number, _increment_frame, calculate, execute_external_dynamics, write_nc): stay_alive support was added using a new variable self._frame. (Jacapo.get_potential_energy): Now raises a runtime error if fortran executable didn't finish correctly. 2009-02-05 John Tester * jacapo.py (Jacapo.get_charge_density): I had not divided the density array by the volume before. this is fixed now. 2009-02-04 John Tester * jacapo.py (Jacapo.get_nbands): v.NumberOfBands was returning a list for some reason. I changed it to return a number (Jacapo.set_fftgrid): fixed error in delete_ncattdimvar. ncfile arg was missing. 2009-02-03 John Tester * jacapo.py (Jacapo.read_only_atoms): new ase suggests use set_initial_magnetic moments instead. 2009-02-02 John Tester * jacapo.py (Jacapo.set_fixmagmom): fixed spelling error in FixedMagneticMoment attribute (Jacapo.set_kpts): added capability to specify a list of kpts for band structure calculations. * 0.6.4 fixed error in placement of set_psp_database. 2009-02-01 John Tester * jacapo.py (Jacapo.get_magnetic_moment): added. python-ase-3.6.0.2515/ase/calculators/jacapo/jacapo.py0000644000175400017540000044754611671637715021372 0ustar askhlaskhl''' python module for ASE2-free and Numeric-free dacapo U{John Kitchin} December 25, 2008 This module supports numpy directly. * ScientificPython2.8 is required - this is the first version to use numpy by default. see https://wiki.fysik.dtu.dk/stuff/nc/ for dacapo netcdf variable documentation ''' __docformat__ = 'restructuredtext' import sys import exceptions, glob, os, pickle, string from Scientific.IO.NetCDF import NetCDFFile as netCDF import numpy as np import subprocess as sp import validate import changed try: from uuid import uuid1 except ImportError: #probably an old python before 2.5 import random, time def uuid1(): t = time.asctime() host = os.environ['HOSTNAME'] random.seed(host + str(t)) s = host + '-' + t + '-'+str(random.random()) return s.replace(' ','-') import logging log = logging.getLogger('Jacapo') handler = logging.StreamHandler() if sys.version_info < (2,5): # no funcName in python 2.4 formatstring = ('%(levelname)-10s ' 'lineno: %(lineno)-4d %(message)s') else: formatstring = ('%(levelname)-10s function: %(funcName)s ' 'lineno: %(lineno)-4d %(message)s') formatter = logging.Formatter(formatstring) handler.setFormatter(formatter) log.addHandler(handler) class DacapoRunning(exceptions.Exception): """Raised when ncfile.status = 'running'""" pass class DacapoAborted(exceptions.Exception): """Raised when ncfile.status = 'aborted'""" pass class DacapoInput(exceptions.Exception): ''' raised for bad input variables''' pass class DacapoAbnormalTermination(exceptions.Exception): """Raised when text file does not end correctly""" pass class DacapoDryrun(exceptions.Exception): """Raised when text file does not end correctly""" pass def read(ncfile): '''return atoms and calculator from ncfile >>> atoms, calc = read('co.nc') ''' calc = Jacapo(ncfile) atoms = calc.get_atoms() #this returns a copy return (atoms, calc) class Jacapo: ''' Python interface to the Fortran DACAPO code ''' __name__ = 'Jacapo' __version__ = '0.4' #dictionary of valid input variables and default settings default_input = {'atoms':None, 'pw':350, 'dw':350, 'xc':'PW91', 'nbands':None, 'ft':0.1, 'kpts':(1,1,1), 'spinpol':False, 'fixmagmom':None, 'symmetry':False, 'calculate_stress':False, 'dipole':{'status':False, 'mixpar':0.2, 'initval':0.0, 'adddipfield':0.0, 'position':None}, 'status':'new', 'pseudopotentials':None, 'extracharge':None, 'extpot':None, 'fftgrid':None, 'ascii_debug':'Off', 'ncoutput':{'wf':'Yes', 'cd':'Yes', 'efp':'Yes', 'esp':'Yes'}, 'ados':None, 'decoupling':None, 'external_dipole':None, 'convergence':{'energy':0.00001, 'density':0.0001, 'occupation':0.001, 'maxsteps':None, 'maxtime':None}, 'charge_mixing':{'method':'Pulay', 'mixinghistory':10, 'mixingcoeff':0.1, 'precondition':'No', 'updatecharge':'Yes'}, 'electronic_minimization':{'method':'eigsolve', 'diagsperband':2}, 'occupationstatistics':'FermiDirac', 'fftgrid':{'soft':None, 'hard':None}, 'mdos':None, 'psp':None } def __init__(self, nc='out.nc', outnc=None, debug=logging.WARN, stay_alive=False, **kwargs): ''' Initialize the Jacapo calculator :Parameters: nc : string output netcdf file, or input file if nc already exists outnc : string output file. by default equal to nc debug : integer logging debug level. Valid kwargs: atoms : ASE.Atoms instance atoms is an ase.Atoms object that will be attached to this calculator. pw : integer sets planewave cutoff dw : integer sets density cutoff kpts : iterable set chadi-cohen, monkhorst-pack kpt grid, e.g. kpts = (2,2,1) or explicit list of kpts spinpol : Boolean sets whether spin-polarization is used or not. fixmagmom : float set the magnetic moment of the unit cell. only used in spin polarize calculations ft : float set the Fermi temperature used in occupation smearing xc : string set the exchange-correlation functional. one of ['PZ','VWN','PW91','PBE','RPBE','revPBE'], dipole boolean turn the dipole correction on (True) or off (False) or: dictionary of parameters to fine-tune behavior {'status':False, 'mixpar':0.2, 'initval':0.0, 'adddipfield':0.0, 'position':None} nbands : integer set the number of bands symmetry : Boolean Turn symmetry reduction on (True) or off (False) stress : Boolean Turn stress calculation on (True) or off (False) debug : level for logging could be something like logging.DEBUG or an integer 0-50. The higher the integer, the less information you see set debug level (0 = off, 10 = extreme) Modification of the nc file only occurs at calculate time if needed >>> calc = Jacapo('CO.nc') reads the calculator from CO.nc if it exists or minimally initializes CO.nc with dimensions if it does not exist. >>> calc = Jacapo('CO.nc', pw=300) reads the calculator from CO.nc or initializes it if it does not exist and changes the planewave cutoff energy to 300eV >>> atoms = Jacapo.read_atoms('CO.nc') returns the atoms in the netcdffile CO.nc, with the calculator attached to it. >>> atoms, calc = read('CO.nc') ''' self.debug = debug log.setLevel(debug) self.pars = Jacapo.default_input.copy() self.pars_uptodate = {} log.debug(self.pars) for key in self.pars: self.pars_uptodate[key] = False self.kwargs = kwargs self.set_psp_database() self.set_nc(nc) #assume not ready at init, rely on code later to change this self.ready = False # need to set a default value for stay_alive self.stay_alive = stay_alive # for correct updating, we need to set the correct frame number # before setting atoms or calculator self._set_frame_number() if os.path.exists(nc): self.atoms = self.read_only_atoms(nc) #if atoms object is passed to #__init__ we assume the user wants the atoms object # updated to the current state in the file. if 'atoms' in kwargs: log.debug('Updating the atoms in kwargs') atoms = kwargs['atoms'] atoms.set_cell(self.atoms.get_cell()) atoms.set_positions(self.atoms.get_positions()) atoms.calc = self #update the parameter list from the ncfile self.update_input_parameters() self.ready = True #change output file if needed if outnc: self.set_nc(outnc) if len(kwargs) > 0: if 'stress' in kwargs: raise DacapoInput, '''\ stress keyword is deprecated. you must use calculate_stress instead''' #make sure to set calculator on atoms if it was in kwargs #and do this first, since some parameters need info from atoms if 'atoms' in kwargs: #we need to set_atoms here so the atoms are written to #the ncfile self.set_atoms(kwargs['atoms']) kwargs['atoms'].calc = self del kwargs['atoms'] #so we don't call it in the next #line. we don't want to do that #because it will update the _frame #counter, and that should not be #done here. self.set(**kwargs) #if nothing changes, nothing will be done def set(self, **kwargs): '''set a parameter parameter is stored in dictionary that is processed later if a calculation is need. ''' if 'DACAPO_NOSET' in os.environ: #it is probably a bug that this is detected so we raise an exception raise Exception, 'DACAPO_NOSET detected, nothing is being set' for key in kwargs: if key not in self.default_input: raise DacapoInput, '%s is not valid input' % key if kwargs[key] is None: continue #now check for valid input validf = 'validate.valid_%s' % key valid = eval('%s(kwargs[key])' % validf) if not valid: s = 'Warning invalid input detected for key "%s" %s' log.warn(s % (key, kwargs[key])) raise DacapoInput, s % (key, kwargs[key]) #now see if key has changed if key in self.pars: changef = 'changed.%s_changed' % key if os.path.exists(self.get_nc()): notchanged = not eval('%s(self,kwargs[key])' % changef) else: notchanged = False log.debug('%s notchanged = %s' % (key, notchanged)) if notchanged: continue log.debug('setting: %s. self.ready = False ' % key) # psp's are not stored in self.pars, everything else is if key == 'psp': self.psp[kwargs[key]['sym']] = kwargs[key]['psp'] else: self.pars[key] = kwargs[key] self.pars_uptodate[key] = False self.ready = False log.debug('exiting set function') def write_input(self): '''write out input parameters as needed you must define a self._set_keyword function that does all the actual writing. ''' log.debug('Writing input variables out') log.debug(self.pars) if 'DACAPO_READONLY' in os.environ: raise Exception, 'DACAPO_READONLY set and you tried to write!' if self.ready: log.debug('self.ready = %s' % self.ready) log.debug('detected everything is ready, not writing input out') return # Only write out changed parameters. this function does not do # the writing, that is done for each variable in private # functions. for key in self.pars: if self.pars_uptodate[key] is False: setf = 'set_%s' % key if self.pars[key] is None: continue log.debug('trying to call: %s' % setf) log.debug('self.%s(self.pars[key])' % setf) log.debug('key = %s' % str(self.pars[key])) if isinstance(self.pars[key], dict): eval('self.%s(**self.pars[key])' % setf) else: eval('self.%s(self.pars[key])' % setf) self.pars_uptodate[key] = True #update the changed flag log.debug('wrote %s: %s' % (key, str(self.pars[key]))) #set Jacapo version ncf = netCDF(self.get_nc(), 'a') ncf.Jacapo_version = Jacapo.__version__ ncf.sync() ncf.close() def update_input_parameters(self): '''read in all the input parameters from the netcdfile''' log.debug('Updating parameters') for key in self.default_input: getf = 'self.get_%s()' % key log.debug('getting key: %s' % key) self.pars[key] = eval(getf) self.pars_uptodate[key] = True return self.pars def write(self, new=False): '''write out everything to the ncfile : self.get_nc() new determines whether to delete any existing ncfile, and rewrite it. ''' nc = self.get_nc() if new: if os.path.exists(nc): os.unlink(nc) self.ready = False for key in self.pars_uptodate: self.pars_uptodate[key] = False if not os.path.exists(nc): self.initnc() self.write_input() self.write_nc() def initnc(self, ncfile=None): '''create an ncfile with minimal dimensions in it this makes sure the dimensions needed for other set functions exist when needed.''' if ncfile is None: ncfile = self.get_nc() else: self.set_nc(ncfile) log.debug('initializing %s' % ncfile) base = os.path.split(ncfile)[0] if base is not '' and not os.path.isdir(base): os.makedirs(base) ncf = netCDF(ncfile, 'w') #first, we define some dimensions we always need #unlimited ncf.createDimension('number_ionic_steps', None) ncf.createDimension('dim1', 1) ncf.createDimension('dim2', 2) ncf.createDimension('dim3', 3) ncf.createDimension('dim4', 4) ncf.createDimension('dim5', 5) ncf.createDimension('dim6', 6) ncf.createDimension('dim7', 7) ncf.createDimension('dim20', 20) #for longer strings ncf.status = 'new' ncf.history = 'Dacapo' ncf.uuid = str(uuid1()) ncf.Jacapo_version = Jacapo.__version__ ncf.close() self.ready = False self._frame = 0 def __del__(self): '''If calculator is deleted try to stop dacapo program ''' if hasattr(self, '_dacapo'): if self._dacapo.poll()==None: self.execute_external_dynamics(stopprogram=True) #and clean up after Dacapo if os.path.exists('stop'): os.remove('stop') #remove slave files txt = self.get_txt() if txt is not None: slv = txt + '.slave*' for slvf in glob.glob(slv): os.remove(slvf) def __str__(self): ''' pretty-print the calculator and atoms. we read everything directly from the ncfile to prevent triggering any calculations ''' s = [] if self.nc is None: return 'No netcdf file attached to this calculator' if not os.path.exists(self.nc): return 'ncfile (%s) does not exist yet' % self.nc nc = netCDF(self.nc, 'r') s.append(' ---------------------------------') s.append(' Dacapo calculation from %s' % self.nc) if hasattr(nc, 'uuid'): s.append(' uuid = %s' % nc.uuid) if hasattr(nc, 'status'): s.append(' status = %s' % nc.status) if hasattr(nc, 'version'): s.append(' version = %s' % nc.version) if hasattr(nc, 'Jacapo_version'): s.append(' Jacapo version = %s' % nc.Jacapo_version[0]) energy = nc.variables.get('TotalEnergy', None) if energy and energy[:][-1] < 1E36: # missing values get # returned at 9.3E36 s.append(' Energy = %1.6f eV' % energy[:][-1]) else: s.append(' Energy = None') s.append('') atoms = self.get_atoms() if atoms is None: s.append(' no atoms defined') else: uc = atoms.get_cell() #a, b, c = uc s.append(" Unit Cell vectors (angstroms)") s.append(" x y z length") for i, v in enumerate(uc): L = (np.sum(v**2))**0.5 #vector length s.append(" a%i [% 1.4f % 1.4f % 1.4f] %1.2f" % (i, v[0], v[1], v[2], L)) stress = nc.variables.get('TotalStress', None) if stress is not None: stress = np.take(stress[:].ravel(), [0, 4, 8, 5, 2, 1]) s.append(' Stress: xx, yy, zz, yz, xz, xy') s1 = ' % 1.3f % 1.3f % 1.3f % 1.3f % 1.3f % 1.3f' s.append(s1 % tuple(stress)) else: s.append(' No stress calculated.') s.append(' Volume = %1.2f A^3' % atoms.get_volume()) s.append('') z = " Atom, sym, position (in x,y,z), tag, rmsForce and psp" s.append(z) #this is just the ncvariable forces = nc.variables.get('DynamicAtomForces', None) for i, atom in enumerate(atoms): sym = atom.symbol pos = atom.position tag = atom.tag if forces is not None and (forces[:][-1][i] < 1E36).all(): f = forces[:][-1][i] # Lars Grabow: this seems to work right for some # reason, but I would expect this to be the right # index order f=forces[-1][i][:] # frame,atom,direction rmsforce = (np.sum(f**2))**0.5 else: rmsforce = None st = " %2i %3.12s " % (i, sym) st += "[% 7.3f%7.3f% 7.3f] " % tuple(pos) st += " %2s " % tag if rmsforce is not None: st += " %4.3f " % rmsforce else: st += ' None ' st += " %s" % (self.get_psp(sym)) s.append(st) s.append('') s.append(' Details:') xc = self.get_xc() if xc is not None: s.append(' XCfunctional = %s' % self.get_xc()) else: s.append(' XCfunctional = Not defined') pw = self.get_pw() if pw is None: pw = 'default (350eV)' s.append(' Planewavecutoff = %s eV' % pw) dw = self.get_dw() if dw: s.append(' Densitywavecutoff = %i eV' % int(self.get_dw())) else: s.append(' Densitywavecutoff = None') ft = self.get_ft() if ft is not None: s.append(' FermiTemperature = %f kT' % ft) else: s.append(' FermiTemperature = not defined') try: nelectrons = self.get_valence() except: nelectrons = None if nelectrons is not None: s.append(' Number of electrons = %1.1f' % nelectrons) else: s.append(' Number of electrons = N/A') s.append(' Number of bands = %s' % self.get_nbands()) s.append(' Kpoint grid = %s' % str(self.get_kpts_type())) s.append(' Spin-polarized = %s' % self.get_spin_polarized()) # if self.get_spin_polarized(): # s.append(' Unit cell magnetic moment = %1.2f bohr-magnetons' % \ # self.get_magnetic_moment()) s.append(' Dipole correction = %s' % self.get_dipole()) s.append(' Symmetry = %s' % self.get_symmetry()) s.append(' Constraints = %s' % str(atoms._get_constraints())) s.append(' ---------------------------------') nc.close() return string.join(s, '\n') #todo figure out other xc psp databases def set_psp_database(self, xc=None): ''' get the xc-dependent psp database :Parameters: xc : string one of 'PW91', 'PBE', 'revPBE', 'RPBE', 'PZ' not all the databases are complete, and that means some psp do not exist. note: this function is not supported fully. only pw91 is imported now. Changing the xc at this point results in loading a nearly empty database, and I have not thought about how to resolve that ''' if xc == 'PW91' or xc is None: from pw91_psp import defaultpseudopotentials else: log.warn('PW91 pseudopotentials are being used!') #todo build other xc psp databases from pw91_psp import defaultpseudopotentials self.psp = defaultpseudopotentials def _set_frame_number(self, frame=None): '''set framenumber in the netcdf file this is equal to the number of ionic steps dimension''' if frame is None: if os.path.exists(self.nc): nc = netCDF(self.nc, 'r') # nc.dimensions['number_ionic_steps'] is None if 'TotalEnergy' in nc.variables: number_ionic_steps = nc.variables['TotalEnergy'].shape[0] else: number_ionic_steps = nc.variables['DynamicAtomPositions'].shape[0] frame = number_ionic_steps - 1 nc.close() else: if hasattr(self,'atoms'): frame = 1 else: #when atoms are set, the frame will be incremented frame = 0 ## if 'TotalEnergy' in nc.variables: ## frame = nc.variables['TotalEnergy'].shape[0] ## # make sure the last energy is reasonable. Sometime ## # the field is empty if the calculation ran out of ## # walltime for example. Empty values get returned as ## # 9.6E36. Dacapos energies should always be negative, ## # so if the energy is > 1E36, there is definitely ## # something wrong and a restart is required. ## if nc.variables.get('TotalEnergy', None)[-1] > 1E36: ## log.warn("Total energy > 1E36. NC file is incomplete. \ ## calc.restart may be required") ## #self.restart() log.info("Current frame number is: %i" % (frame - 1)) self._frame = frame - 1 #netCDF starts counting with 1 def _increment_frame(self): 'increment the framenumber' log.debug('incrementing frame') self._frame += 1 def set_pw(self, pw): '''set the planewave cutoff. :Parameters: pw : integer the planewave cutoff in eV this function checks to make sure the density wave cutoff is greater than or equal to the planewave cutoff.''' nc = netCDF(self.nc, 'a') if 'PlaneWaveCutoff' in nc.variables: vpw = nc.variables['PlaneWaveCutoff'] vpw.assignValue(pw) else: vpw = nc.createVariable('PlaneWaveCutoff', 'd', ('dim1',)) vpw.assignValue(pw) if 'Density_WaveCutoff' in nc.variables: vdw = nc.variables['Density_WaveCutoff'] dw = vdw.getValue() if pw > dw: vdw.assignValue(pw) #make them equal else: vdw = nc.createVariable('Density_WaveCutoff', 'd', ('dim1',)) vdw.assignValue(pw) nc.close() self.restart() #nc dimension change for number_plane_Wave dimension self.set_status('new') self.ready = False def set_dw(self, dw): '''set the density wave cutoff energy. :Parameters: dw : integer the density wave cutoff The function checks to make sure it is not less than the planewave cutoff. Density_WaveCutoff describes the kinetic energy neccesary to represent a wavefunction associated with the total density, i.e. G-vectors for which $\vert G\vert^2$ $<$ 4*Density_WaveCutoff will be used to describe the total density (including augmentation charge and partial core density). If Density_WaveCutoff is equal to PlaneWaveCutoff this implies that the total density is as soft as the wavefunctions described by the kinetic energy cutoff PlaneWaveCutoff. If a value of Density_WaveCutoff is specified (must be larger than or equal to PlaneWaveCutoff) the program will run using two grids, one for representing the wavefunction density (softgrid_dim) and one representing the total density (hardgrid_dim). If the density can be reprensented on the same grid as the wavefunction density Density_WaveCutoff can be chosen equal to PlaneWaveCutoff (default). ''' pw = self.get_pw() if pw > dw: log.warn('Planewave cutoff %i is greater \ than density cutoff %i' % (pw, dw)) ncf = netCDF(self.nc, 'a') if 'Density_WaveCutoff' in ncf.variables: vdw = ncf.variables['Density_WaveCutoff'] vdw.assignValue(dw) else: vdw = ncf.createVariable('Density_WaveCutoff', 'i', ('dim1',)) vdw.assignValue(dw) ncf.close() self.restart() #nc dimension change self.set_status('new') self.ready = False def set_xc(self, xc): '''Set the self-consistent exchange-correlation functional :Parameters: xc : string Must be one of 'PZ', 'VWN', 'PW91', 'PBE', 'revPBE', 'RPBE' Selects which density functional to use for exchange-correlation when performing electronic minimization (the electronic energy is minimized with respect to this selected functional) Notice that the electronic energy is also evaluated non-selfconsistently by DACAPO for other exchange-correlation functionals Recognized options : * "PZ" (Perdew Zunger LDA-parametrization) * "VWN" (Vosko Wilk Nusair LDA-parametrization) * "PW91" (Perdew Wang 91 GGA-parametrization) * "PBE" (Perdew Burke Ernzerhof GGA-parametrization) * "revPBE" (revised PBE/1 GGA-parametrization) * "RPBE" (revised PBE/2 GGA-parametrization) option "PZ" is not allowed for spin polarized calculation; use "VWN" instead. ''' nc = netCDF(self.nc, 'a') v = 'ExcFunctional' if v in nc.variables: nc.variables[v][:] = np.array('%7s' % xc, 'c') else: vxc = nc.createVariable('ExcFunctional', 'c', ('dim7',)) vxc[:] = np.array('%7s' % xc, 'c') nc.close() self.set_status('new') self.ready = False def set_nbands(self, nbands=None): '''Set the number of bands. a few unoccupied bands are recommended. :Parameters: nbands : integer the number of bands. if nbands = None the function returns with nothing done. At calculate time, if there are still no bands, they will be set by: the number of bands is calculated as $nbands=nvalence*0.65 + 4$ ''' if nbands is None: return self.delete_ncattdimvar(self.nc, ncdims=['number_of_bands'], ncvars=[]) nc = netCDF(self.nc, 'a') v = 'ElectronicBands' if v in nc.variables: vnb = nc.variables[v] else: vnb = nc.createVariable('ElectronicBands', 'c', ('dim1',)) vnb.NumberOfBands = nbands nc.sync() nc.close() self.set_status('new') self.ready = False def set_kpts(self, kpts): ''' set the kpt grid. Parameters: kpts: (n1,n2,n3) or [k1,k2,k3,...] or one of these chadi-cohen sets: * cc6_1x1 * cc12_2x3 * cc18_sq3xsq3 * cc18_1x1 * cc54_sq3xsq3 * cc54_1x1 * cc162_sq3xsq3 * cc162_1x1 (n1,n2,n3) creates an n1 x n2 x n3 monkhorst-pack grid, [k1,k2,k3,...] creates a kpt-grid based on the kpoints defined in k1,k2,k3,... There is also a possibility to have Dacapo (fortran) create the Kpoints in chadi-cohen or monkhorst-pack form. To do this you need to set the KpointSetup.gridtype attribute, and KpointSetup. KpointSetup = [3,0,0] KpointSetup.gridtype = 'ChadiCohen' KpointSetup(1) Chadi-Cohen k-point set 1 6 k-points 1x1 2 18-kpoints sqrt(3)*sqrt(3) 3 18-kpoints 1x1 4 54-kpoints sqrt(3)*sqrt(3) 5 54-kpoints 1x1 6 162-kpoints 1x1 7 12-kpoints 2x3 8 162-kpoints 3xsqrt 3 or KpointSetup = [4,4,4] KpointSetup.gridtype = 'MonkhorstPack' we do not use this functionality. ''' #chadi-cohen if isinstance(kpts, str): exec('from ase.dft.kpoints import %s' % kpts) listofkpts = eval(kpts) gridtype = kpts #stored in ncfile #uc = self.get_atoms().get_cell() #listofkpts = np.dot(ccgrid,np.linalg.inv(uc.T)) #monkhorst-pack grid if np.array(kpts).shape == (3,): from ase.dft.kpoints import monkhorst_pack N1, N2, N3 = kpts listofkpts = monkhorst_pack((N1, N2, N3)) gridtype = 'Monkhorst-Pack %s' % str(tuple(kpts)) #user-defined list is provided if len(np.array(kpts).shape) == 2: listofkpts = kpts gridtype = 'user_defined_%i_kpts' % len(kpts) #stored in ncfile nbzkpts = len(listofkpts) #we need to get dimensions stored temporarily so #we can delete all dimensions and variables associated with #kpoints before we save them back out. nc2 = netCDF(self.nc, 'r') ncdims = nc2.dimensions nc2.close() if 'number_BZ_kpoints' in ncdims: self.delete_ncattdimvar(self.nc, ncdims=['number_plane_waves', 'number_BZ_kpoints', 'number_IBZ_kpoints']) # now define dim and var nc = netCDF(self.nc, 'a') nc.createDimension('number_BZ_kpoints', nbzkpts) bv = nc.createVariable('BZKpoints', 'd', ('number_BZ_kpoints', 'dim3')) bv[:] = listofkpts bv.gridtype = gridtype nc.sync() nc.close() log.debug('kpts = %s' % str(self.get_kpts())) self.set_status('new') self.ready = False def atoms_are_equal(self, atoms): ''' comparison of atoms to self.atoms using tolerances to account for float/double differences and float math. ''' TOL = 1.0e-6 #angstroms a = self.atoms.arrays b = atoms.arrays #match number of atoms in cell lenmatch = len(atoms) == len(self.atoms) if lenmatch is not True: return False #the next two comparisons fail in this case. #match positions in cell posmatch = (abs(a['positions'] - b['positions']) <= TOL).all() #match cell cellmatch = (abs(self.atoms.get_cell() - atoms.get_cell()) <= TOL).all() if lenmatch and posmatch and cellmatch: return True else: return False def set_atoms(self, atoms): '''attach an atoms to the calculator and update the ncfile :Parameters: atoms ASE.Atoms instance ''' log.debug('setting atoms to: %s' % str(atoms)) if hasattr(self, 'atoms') and self.atoms is not None: #return if the atoms are the same. no change needs to be made if self.atoms_are_equal(atoms): log.debug('No change to atoms in set_atoms, returning') return # some atoms already exist. Test if new atoms are # different from old atoms. # this is redundant if atoms != self.atoms: # the new atoms are different from the old ones. Start # a new frame. log.debug('atoms != self.atoms, incrementing') self._increment_frame() self.atoms = atoms.copy() self.ready = False log.debug('self.atoms = %s' % str(self.atoms)) def set_ft(self, ft): '''set the Fermi temperature for occupation smearing :Parameters: ft : float Fermi temperature in kT (eV) Electronic temperature, corresponding to gaussian occupation statistics. Device used to stabilize the convergence towards the electronic ground state. Higher values stabilizes the convergence. Values in the range 0.1-1.0 eV are recommended, depending on the complexity of the Fermi surface (low values for d-metals and narrow gap semiconducters, higher for free electron-like metals). ''' nc = netCDF(self.nc, 'a') v = 'ElectronicBands' if v in nc.variables: vnb = nc.variables[v] else: vnb = nc.createVariable('ElectronicBands', 'c', ('dim1',)) vnb.OccupationStatistics_FermiTemperature = ft nc.sync() nc.close() self.set_status('new') self.ready = False def set_status(self, status): '''set the status flag in the netcdf file :Parameters: status : string status flag, e.g. 'new', 'finished' ''' nc = netCDF(self.nc, 'a') nc.status = status nc.sync() nc.close() log.debug('set status to %s' % status) def get_spinpol(self): 'Returns the spin polarization setting, either True or False' nc = netCDF(self.nc, 'r') v = 'ElectronicBands' if v in nc.variables: vnb = nc.variables[v] if hasattr(vnb, 'SpinPolarization'): spinpol = vnb.SpinPolarization else: spinpol = 1 else: spinpol = 1 nc.close() if spinpol == 1: return False else: return True def set_spinpol(self, spinpol=False): '''set Spin polarization. :Parameters: spinpol : Boolean set_spinpol(True) spin-polarized. set_spinpol(False) no spin polarization, default Specify whether to perform a spin polarized or unpolarized calculation. ''' nc = netCDF(self.nc, 'a') v = 'ElectronicBands' if v in nc.variables: vnb = nc.variables[v] else: vnb = nc.createVariable('ElectronicBands', 'c', ('dim1',)) if spinpol is True: vnb.SpinPolarization = 2 else: vnb.SpinPolarization = 1 nc.sync() nc.close() self.set_status('new') self.ready = False def set_fixmagmom(self, fixmagmom=None): '''set a fixed magnetic moment for a spin polarized calculation :Parameters: fixmagmom : float the magnetic moment of the cell in Bohr magnetons ''' if fixmagmom is None: return nc = netCDF(self.nc,'a') v = 'ElectronicBands' if v in nc.variables: vnb = nc.variables[v] else: vnb = nc.createVariable('ElectronicBands', 'c', ('dim1',)) vnb.SpinPolarization = 2 #You must want spin-polarized vnb.FixedMagneticMoment = fixmagmom nc.sync() nc.close() self.set_status('new') self.ready = False def get_fixmagmom(self): 'returns the value of FixedMagneticMoment' nc = netCDF(self.nc,'r') if 'ElectronicBands' in nc.variables: v = nc.variables['ElectronicBands'] if hasattr(v,'FixedMagneticMoment'): fixmagmom = v.FixedMagneticMoment else: fixmagmom = None else: fixmagmom = None nc.close() return fixmagmom def set_calculate_stress(self, stress=True): '''Turn on stress calculation :Parameters: stress : boolean set_calculate_stress(True) calculates stress set_calculate_stress(False) do not calculate stress ''' nc = netCDF(self.get_nc(),'a') vs = 'NetCDFOutputControl' if vs in nc.variables: v = nc.variables[vs] else: v = nc.createVariable('NetCDFOutputControl', 'c', ('dim1',)) if stress is True: v.PrintTotalStress = 'Yes' else: v.PrintTotalStress = 'No' nc.sync() nc.close() self.set_status('new') self.ready = False def set_nc(self, nc='out.nc'): ''' set filename for the netcdf and text output for this calculation :Parameters: nc : string filename for netcdf file if the ncfile attached to the calculator is changing, the old file will be copied to the new file if it doesn not exist so that all the calculator details are preserved. Otherwise, the if the ncfile does not exist, it will get initialized. the text file will have the same basename as the ncfile, but with a .txt extension. ''' #the first time this is called, there may be no self.nc defined if not hasattr(self, 'nc'): self.nc = nc #check if the name is changing and if so, copy the old ncfile #to the new one. This is necessary to ensure all the #calculator details are copied over. if the file already #exists we use the contents of the existing file if nc != self.nc and not os.path.exists(nc): log.debug('copying %s to %s' % (self.nc, nc)) #import shutil #shutil.copy(self.nc,nc) base = os.path.split(nc)[0] if not os.path.isdir(base) and base is not '': os.makedirs(base) status = os.system("cp '%s' '%s'" % (self.nc, nc)) if status != 0: raise Exception, 'Copying ncfile failed.' self.nc = nc elif os.path.exists(nc): self._set_frame_number() self.set_psp_database() self.atoms = self.read_only_atoms(nc) self.nc = nc self.update_input_parameters() #I always want the text file set based on the ncfile #and I never want to set this myself. base = os.path.splitext(self.nc)[0] self.txt = "%s.txt" % base def set_pseudopotentials(self, pspdict): '''Set all the pseudopotentials from a dictionary. The dictionary should have this form:: {symbol1: path1, symbol2: path2} ''' for key in pspdict: self.set_psp(sym=key, psp=pspdict[key]) def set_psp(self, sym=None, z=None, psp=None): ''' set the pseudopotential file for a species or an atomic number. :Parameters: sym : string chemical symbol of the species z : integer the atomic number of the species psp : string filename of the pseudopotential you can only set sym or z. examples:: set_psp('N',psp='pspfile') set_psp(z=6,psp='pspfile') ''' log.debug(str([sym, z, psp])) if (sym, z, psp) == (None, None, None): return if (sym is None and z is not None): from ase.data import chemical_symbols sym = chemical_symbols[z] elif (sym is not None and z is None): pass else: raise Exception, 'You can only specify Z or sym!' if not hasattr(self, 'psp'): self.set_psp_database() #only make change if needed if sym not in self.psp: self.psp[sym] = psp self.ready = False self.set_status('new') elif self.psp[sym] != psp: self.psp[sym] = psp self.ready = False self.set_status('new') if not self.ready: #now we update the netcdf file ncf = netCDF(self.nc, 'a') vn = 'AtomProperty_%s' % sym if vn not in ncf.variables: if 'dim20' not in ncf.dimensions: ncf.createDimension('dim20', 20) p = ncf.createVariable(vn, 'c', ('dim20',)) else: p = ncf.variables[vn] ppath = self.get_psp(sym=sym) p.PspotFile = ppath ncf.close() def get_pseudopotentials(self): 'get pseudopotentials set for atoms attached to calculator' if self.atoms is None: return None psp = {} for atom in self.atoms: psp[atom.symbol] = self.psp[atom.symbol] return {'pspdict':psp} def get_symmetry(self): '''return the type of symmetry used''' nc = netCDF(self.nc, 'r') if 'UseSymmetry' in nc.variables: sym = string.join(nc.variables['UseSymmetry'][:],'').strip() else: sym = None nc.close() if sym in ['Off', None]: return False elif sym == 'Maximum': return True else: raise Exception, 'Type of symmetry not recognized: %s' % sym def set_symmetry(self, val=False): '''set how symmetry is used to reduce k-points :Parameters: val : Boolean set_sym(True) Maximum symmetry is used set_sym(False) No symmetry is used This variable controls the if and how DACAPO should attempt using symmetry in the calculation. Imposing symmetry generally speeds up the calculation and reduces numerical noise to some extent. Symmetry should always be applied to the maximum extent, when ions are not moved. When relaxing ions, however, the symmetry of the equilibrium state may be lower than the initial state. Such an equilibrium state with lower symmetry is missed, if symmetry is imposed. Molecular dynamics-like algorithms for ionic propagation will generally not break the symmetry of the initial state, but some algorithms, like the BFGS may break the symmetry of the initial state. Recognized options: "Off": No symmetry will be imposed, apart from time inversion symmetry in recipical space. This is utilized to reduce the k-point sampling set for Brillouin zone integration and has no influence on the ionic forces/motion. "Maximum": DACAPO will look for symmetry in the supplied atomic structure and extract the highest possible symmetry group. During the calculation, DACAPO will impose the found spatial symmetry on ionic forces and electronic structure, i.e. the symmetry will be conserved during the calculation. ''' if val: symval = 'Maximum' else: symval = 'Off' ncf = netCDF(self.get_nc(), 'a') if 'UseSymmetry' not in ncf.variables: sym = ncf.createVariable('UseSymmetry', 'c', ('dim7',)) else: sym = ncf.variables['UseSymmetry'] sym[:] = np.array('%7s' % symval, 'c') ncf.sync() ncf.close() self.set_status('new') self.ready = False def set_extracharge(self, val): '''add extra charge to unit cell :Parameters: val : float extra electrons to add or subtract from the unit cell Fixed extra charge in the unit cell (i.e. deviation from charge neutrality). This assumes a compensating, positive constant backgound charge (jellium) to forge overall charge neutrality. ''' nc = netCDF(self.get_nc(), 'a') if 'ExtraCharge' in nc.variables: v = nc.variables['ExtraCharge'] else: v = nc.createVariable('ExtraCharge', 'd', ('dim1',)) v.assignValue(val) nc.sync() nc.close() def get_extracharge(self): 'Return the extra charge set in teh calculator' nc = netCDF(self.get_nc(), 'r') if 'ExtraCharge' in nc.variables: v = nc.variables['ExtraCharge'] exchg = v.getValue() else: exchg = None nc.close() return exchg def get_extpot(self): 'return the external potential set in teh calculator' nc = netCDF(self.get_nc(), 'r') if 'ExternalPotential' in nc.variables: v = nc.variables['ExternalPotential'] extpot = v[:] else: extpot = None nc.close() return extpot def set_extpot(self, potgrid): '''add external potential of value see this link before using this https://listserv.fysik.dtu.dk/pipermail/campos/2003-August/000657.html :Parameters: potgrid : np.array with shape (nx,ny,nz) the shape must be the same as the fft soft grid the value of the potential to add you have to know both of the fft grid dimensions ahead of time! if you know what you are doing, you can set the fft_grid you want before hand with: calc.set_fftgrid((n1,n2,n3)) ''' nc = netCDF(self.get_nc(), 'a') if 'ExternalPotential' in nc.variables: v = nc.variables['ExternalPotential'] else: # I assume here you have the dimensions of potgrid correct # and that the soft and hard grids are the same. # if softgrid is defined, Dacapo requires hardgrid to be # defined too. s1, s2, s3 = potgrid.shape if 'softgrid_dim1' not in nc.dimensions: nc.createDimension('softgrid_dim1', s1) nc.createDimension('softgrid_dim2', s2) nc.createDimension('softgrid_dim3', s3) nc.createDimension('hardgrid_dim1', s1) nc.createDimension('hardgrid_dim2', s2) nc.createDimension('hardgrid_dim3', s3) v = nc.createVariable('ExternalPotential', 'd', ('softgrid_dim1', 'softgrid_dim2', 'softgrid_dim3',)) v[:] = potgrid nc.sync() nc.close() self.set_status('new') self.ready = False def set_fftgrid(self, soft=None, hard=None): ''' sets the dimensions of the FFT grid to be used :Parameters: soft : (n1,n2,n3) integers make a n1 x n2 x n3 grid hard : (n1,n2,n3) integers make a n1 x n2 x n3 grid >>> calc.set_fftgrid(soft=[42,44,46]) sets the soft and hard grid dimensions to 42,44,46 >>> calc.set_fftgrid(soft=[42,44,46],hard=[80,84,88]) sets the soft grid dimensions to 42,44,46 and the hard grid dimensions to 80,84,88 These are the fast FFt grid numbers listed in fftdimensions.F data list_of_fft /2, 4, 6, 8, 10, 12, 14, 16, 18, 20, & 22,24, 28, 30,32, 36, 40, 42, 44, 48, & 56,60, 64, 66, 70, 72, 80, 84, 88, 90, & 96,108,110,112,120,126,128,132,140,144,154, & 160,168,176,180,192,198,200, & 216,240,264,270,280,288,324,352,360,378,384,400,432, & 450,480,540,576,640/ otherwise you will get some errors from mis-dimensioned variables. this is usually automatically set by Dacapo. ''' if soft is not None: self.delete_ncattdimvar(self.nc, ncdims=['softgrid_dim1', 'softgrid_dim2', 'softgrid_dim3' ], ncvars=[]) nc = netCDF(self.get_nc(), 'a') nc.createDimension('softgrid_dim1', soft[0]) nc.createDimension('softgrid_dim2', soft[1]) nc.createDimension('softgrid_dim3', soft[2]) nc.sync() nc.close() if hard is None: hard = soft if hard is not None: self.delete_ncattdimvar(self.nc, ncdims=['hardgrid_dim1', 'hardgrid_dim2', 'hardgrid_dim3' ], ncvars=[]) nc = netCDF(self.get_nc(),'a') nc.createDimension('hardgrid_dim1', hard[0]) nc.createDimension('hardgrid_dim2', hard[1]) nc.createDimension('hardgrid_dim3', hard[2]) nc.sync() nc.close() self.set_status('new') self.ready = False def get_ascii_debug(self): 'Return the debug settings in Dacapo' nc = netCDF(self.get_nc(), 'r') if 'PrintDebugInfo' in nc.variables: v = nc.variables['PrintDebugInfo'] debug = string.join(v[:], '') else: debug = None nc.close() return debug def set_ascii_debug(self, level): '''set the debug level for Dacapo :Parameters: level : string one of 'Off', 'MediumLevel', 'HighLevel' ''' nc = netCDF(self.get_nc(), 'a') if 'PrintDebugInfo' in nc.variables: v = nc.variables['PrintDebugInfo'] else: if 'dim20' not in nc.dimensions: nc.createDimension('dim20', 20) v = nc.createVariable('PrintDebugInfo', 'c', ('dim20',)) v[:] = np.array('%20s' % level, dtype='c') nc.sync() nc.close() self.set_status('new') self.ready = False def get_ncoutput(self): 'returns the control variables for the ncfile' nc = netCDF(self.get_nc(), 'r') if 'NetCDFOutputControl' in nc.variables: v = nc.variables['NetCDFOutputControl'] ncoutput = {} if hasattr(v, 'PrintWaveFunction'): ncoutput['wf'] = v.PrintWaveFunction if hasattr(v, 'PrintChargeDensity'): ncoutput['cd'] = v.PrintChargeDensity if hasattr(v, 'PrintEffPotential'): ncoutput['efp'] = v.PrintEffPotential if hasattr(v, 'PrintElsPotential'): ncoutput['esp'] = v.PrintElsPotential else: ncoutput = None nc.close() return ncoutput def set_ncoutput(self, wf=None, cd=None, efp=None, esp=None): '''set the output of large variables in the netcdf output file :Parameters: wf : string controls output of wavefunction. values can be 'Yes' or 'No' cd : string controls output of charge density. values can be 'Yes' or 'No' efp : string controls output of effective potential. values can be 'Yes' or 'No' esp : string controls output of electrostatic potential. values can be 'Yes' or 'No' ''' nc = netCDF(self.get_nc(), 'a') if 'NetCDFOutputControl' in nc.variables: v = nc.variables['NetCDFOutputControl'] else: v = nc.createVariable('NetCDFOutputControl', 'c', ()) if wf is not None: v.PrintWaveFunction = wf if cd is not None: v.PrintChargeDensity = cd if efp is not None: v.PrintEffPotential = efp if esp is not None: v.PrintElsPotential = esp nc.sync() nc.close() self.set_status('new') self.ready = False def get_ados(self, **kwargs): ''' attempt at maintaining backward compatibility with get_ados returning data Now when we call calc.get_ados() it will return settings, and calc.get_ados(atoms=[],...) should return data ''' if len(kwargs) != 0: return self.get_ados_data(**kwargs) nc = netCDF(self.get_nc(),'r') if 'PrintAtomProjectedDOS' in nc.variables: v = nc.variables['PrintAtomProjectedDOS'] ados = {} if hasattr(v, 'EnergyWindow'): ados['energywindow'] = v.EnergyWindow if hasattr(v, 'EnergyWidth'): ados['energywidth'] = v.EnergyWidth[0] if hasattr(v, 'NumberEnergyPoints'): ados['npoints'] = v.NumberEnergyPoints[0] if hasattr(v, 'CutoffRadius'): ados['cutoff'] = v.CutoffRadius[0] else: ados = None nc.close() return ados def set_ados(self, energywindow=(-15,5), energywidth=0.2, npoints=250, cutoff=1.0): ''' setup calculation of atom-projected density of states :Parameters: energywindow : (float, float) sets (emin,emax) in eV referenced to the Fermi level energywidth : float the gaussian used in smearing npoints : integer the number of points to sample the DOS at cutoff : float the cutoff radius in angstroms for the integration. ''' nc = netCDF(self.get_nc(), 'a') if 'PrintAtomProjectedDOS' in nc.variables: v = nc.variables['PrintAtomProjectedDOS'] else: v = nc.createVariable('PrintAtomProjectedDOS', 'c', ()) v.EnergyWindow = energywindow v.EnergyWidth = energywidth v.NumberEnergyPoints = npoints v.CutoffRadius = cutoff nc.sync() nc.close() self.set_status('new') self.ready = False def get_mdos(self): 'return multicentered projected dos parameters' nc = netCDF(self.get_nc(),'r') mdos = {} if 'MultiCenterProjectedDOS' in nc.variables: v = nc.variables['MultiCenterProjectedDOS'] mdos['energywindow'] = v.EnergyWindow mdos['energywidth'] = v.EnergyWidth mdos['numberenergypoints'] = v.NumberEnergyPoints mdos['cutoffradius'] = v.CutoffRadius mdos['mcenters'] = eval(v.mcenters) nc.close() return mdos def get_mdos_data(self, spin=0, cutoffradius='infinite'): '''returns data from multicentered projection returns (mdos, rotmat) the rotation matrices are retrieved from the text file. I am not sure what you would do with these, but there was a note about them in the old documentation so I put the code to retrieve them here. the syntax for the return value is: rotmat[atom#][label] returns the rotation matrix for the center on the atom# for label. I do not not know what the label refers to. ''' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(),'r') icut = 1 #short if cutoffradius == "infinite": icut = 0 #var = nc.variables['MultiCenterProjectedDOS'] integrated = nc.variables['MultiCenterProjectedDOS_IntegratedDOS'][:] tz = 'MultiCenterProjectedDOS_EnergyResolvedDOS' energyresolved = nc.variables[tz][:] energygrid = nc.variables['MultiCenterProjectedDOS_EnergyGrid'][:] number_of_multicenters = integrated.shape[0] #number_of_cutoff = integrated.shape[1] #number_of_spin = integrated.shape[2] multicenterprojections = [] for multicenter in range(number_of_multicenters): #orbitals = var[multicenter] energyresolveddata = energyresolved[multicenter, icut, spin, :] #integrateddata = integrated[multicenter, icut, spin] multicenterprojections.append([energygrid, energyresolveddata]) log.info('Found %d multicenters' % len(multicenterprojections)) nc.close() #now parse the text file for the rotation matrices rot_mat_lines = [] txt = self.get_txt() if os.path.exists(txt): f = open(txt,'r') for line in f: if 'MUL: Rmatrix' in line: rot_mat_lines.append(line) f.close() rotmat = [] for line in rot_mat_lines: fields = line.split() novl = int(fields[2]) ncen = int(fields[3]) row = [float(x) for x in fields[4:]] try: rotmat[novl-1][ncen-1].append(row) except IndexError: try: rotmat[novl-1].append([]) rotmat[novl-1][ncen-1].append(row) except IndexError: rotmat.append([]) rotmat[novl-1].append([]) rotmat[novl-1][ncen-1].append(row) else: rotmat = None return (multicenterprojections, rotmat) def set_mdos(self, mcenters=None, energywindow=(-15,5), energywidth=0.2, numberenergypoints=250, cutoffradius=1.0): '''Setup multicentered projected DOS. mcenters a list of tuples containing (atom#,l,m,weight) (0,0,0,1.0) specifies (atom 0, l=0, m=0, weight=1.0) an s orbital on atom 0 (1,1,1,1.0) specifies (atom 1, l=1, m=1, weight=1.0) a p orbital with m = +1 on atom 0 l=0 s-orbital l=1 p-orbital l=2 d-orbital m in range of ( -l ... 0 ... +l ) The direction cosines for which the spherical harmonics are set up are using the next different atom in the list (cyclic) as direction pointer, so the z-direction is chosen along the direction to this next atom. At the moment the rotation matrices is only given in the text file, you can use grep'MUL: Rmatrix' out_o2.txt to get this information. adapated from old MultiCenterProjectedDOS.py ''' if mcenters is None: return nc = netCDF(self.get_nc(), 'a') _listofmcenters_ = mcenters # get number of multi centers ncenters = len(_listofmcenters_) # get max number of orbitals any center max_orbitals = max(map(len, _listofmcenters_)) mmatrix = np.zeros([ncenters, max_orbitals, 4], np.float) ncenter = 0 for multicenter in _listofmcenters_: norbital = 0 for orbital in multicenter: mmatrix[ncenter, norbital] = orbital norbital = norbital + 1 # signal that this multicenter contains less than # max_orbital orbitals if len(multicenter) < max_orbitals: mmatrix[ncenter, len(multicenter):max_orbitals] = (-1.0, 0, 0, 0) ncenter = ncenter + 1 nc.createDimension('max_orbitals', max_orbitals) nc.createDimension('number_of_multicenters', ncenters) if 'MultiCenterProjectedDOS' in nc.variables: v = nc.variables['MultiCenterProjectedDOS'] else: v = nc.createVariable('MultiCenterProjectedDOS', 'd', ('number_of_multicenters', 'max_orbitals', 'dim4')) v.EnergyWindow = energywindow v.EnergyWidth = energywidth v.NumberEnergyPoints = numberenergypoints v.CutoffRadius = cutoffradius #this is kind of hacky, but it is needed for get_mdos so you #can tell if the input is changed. v.mcenters = str(mcenters) v[:] = mmatrix nc.sync() nc.close() def set_debug(self, debug): ''' set debug level for python logging debug should be an integer from 0-100 or one of the logging constants like logging.DEBUG, logging.WARN, etc... ''' self.debug = debug log.setLevel(debug) def get_debug(self): 'Return the python logging level' return self.debug def get_decoupling(self): 'return the electrostatic decoupling parameters' nc = netCDF(self.get_nc(), 'r') if 'Decoupling' in nc.variables: v = nc.variables['Decoupling'] decoupling = {} if hasattr(v,'NumberOfGaussians'): decoupling['ngaussians'] = v.NumberOfGaussians if hasattr(v,'ECutoff'): decoupling['ecutoff'] = v.ECutoff if hasattr(v,'WidthOfGaussian'): decoupling['gausswidth'] = v.WidthOfGaussian else: decoupling = None nc.close() return decoupling def set_decoupling(self, ngaussians=3, ecutoff=100, gausswidth=0.35): ''' Decoupling activates the three dimensional electrostatic decoupling. Based on paper by Peter E. Bloechl: JCP 103 page7422 (1995). :Parameters: ngaussians : int The number of gaussian functions per atom used for constructing the model charge of the system ecutoff : int The cut off energy (eV) of system charge density in g-space used when mapping constructing the model change of the system, i.e. only charge density components below ECutoff enters when constructing the model change. gausswidth : float The width of the Gaussians defined by $widthofgaussian*1.5^(n-1)$ $n$=(1 to numberofgaussians) ''' nc = netCDF(self.get_nc(), 'a') if 'Decoupling' in nc.variables: v = nc.variables['Decoupling'] else: v = nc.createVariable('Decoupling', 'c', ()) v.NumberOfGaussians = ngaussians v.ECutoff = ecutoff v.WidthOfGaussian = gausswidth nc.sync() nc.close() self.set_status('new') self.ready = False def set_external_dipole(self, value, position=None): ''' Externally imposed dipole potential. This option overwrites DipoleCorrection if set. :Parameters: value : float units of volts position : float scaled coordinates along third unit cell direction. if None, the compensation dipole layer plane in the vacuum position farthest from any other atoms on both sides of the slab. Do not set to 0.0. ''' var = 'ExternalDipolePotential' nc = netCDF(self.get_nc(), 'a') if var in nc.variables: v = nc.variables[var] else: v = nc.createVariable('ExternalDipolePotential', 'd', ()) v.assignValue(value) if position is not None: v.DipoleLayerPosition = position nc.sync() nc.close() self.set_status('new') self.ready = False def get_external_dipole(self): 'return the External dipole settings' var = 'ExternalDipolePotential' nc = netCDF(self.get_nc(),'r') if var in nc.variables: v = nc.variables[var] value = v.getValue() if hasattr(v, 'DipoleLayerPosition'): position = v.DipoleLayerPosition else: position = None ed = {'value':value, 'position':position} else: ed = None nc.close() return ed def set_dipole(self, status=True, mixpar=0.2, initval=0.0, adddipfield=0.0, position=None): '''turn on and set dipole correction scheme :Parameters: status : Boolean True turns dipole on. False turns Dipole off mixpar : float Mixing Parameter for the the dipole correction field during the electronic minimization process. If instabilities occur during electronic minimization, this value may be decreased. initval : float initial value to start at adddipfield : float additional dipole field to add units : V/ang External additive, constant electrostatic field along third unit cell vector, corresponding to an external dipole layer. The field discontinuity follows the position of the dynamical dipole correction, i.e. if DipoleCorrection:DipoleLayerPosition is set, the field discontinuity is at this value, otherwise it is at the vacuum position farthest from any other atoms on both sides of the slab. position : float scaled coordinates along third unit cell direction. If this attribute is set, DACAPO will position the compensation dipole layer plane in at the provided value. If this attribute is not set, DACAPO will put the compensation dipole layer plane in the vacuum position farthest from any other atoms on both sides of the slab. Do not set this to 0.0 calling set_dipole() sets all default values. ''' if status == False: self.delete_ncattdimvar(self.nc, ncvars=['DipoleCorrection']) return ncf = netCDF(self.get_nc(), 'a') if 'DipoleCorrection' not in ncf.variables: dip = ncf.createVariable('DipoleCorrection', 'c', ()) else: dip = ncf.variables['DipoleCorrection'] dip.MixingParameter = mixpar dip.InitialValue = initval dip.AdditiveDipoleField = adddipfield if position is not None: dip.DipoleLayerPosition = position ncf.sync() ncf.close() self.set_status('new') self.ready = False def set_stay_alive(self, value): 'set the stay alive setting' self.delete_ncattdimvar(self.nc, ncvars=['Dynamics']) if (hasattr(self,'parent') or hasattr(self,'children')) and value == True: log.debug("This is a parent/child calculator and stay_alive must be false.") value = False if value in [True, False]: self.stay_alive = value #self._dacapo_is_running = False else: log.debug("stay_alive must be boolean. Value was not changed.") def get_stay_alive(self): 'return the stay alive settings' return self.stay_alive def get_fftgrid(self): 'return soft and hard fft grids' nc = netCDF(self.nc, 'r') soft = [] hard = [] for d in [1, 2, 3]: sd = 'softgrid_dim%i' % d hd = 'hardgrid_dim%i' % d if sd in nc.dimensions: soft.append(nc.dimensions[sd]) hard.append(nc.dimensions[hd]) nc.close() if soft == []: soft = None if hard == []: hard = None return ({'soft':soft, 'hard':hard}) def get_kpts_type(self): 'return the kpt grid type' nc = netCDF(self.nc, 'r') if 'BZKpoints' in nc.variables: bv = nc.variables['BZKpoints'] if hasattr(bv, 'gridtype'): kpts_type = bv.gridtype #string saved in jacapo else: #no grid attribute, this ncfile was created pre-jacapo kpts_type = '%i kpts' % len(bv[:]) else: kpts_type = 'BZKpoints not defined. [[0,0,0]] used by default.' nc.close() return kpts_type def get_kpts(self): 'return the BZ kpts' nc = netCDF(self.nc, 'r') if 'BZKpoints' in nc.variables: bv = nc.variables['BZKpoints'] kpts = bv[:] else: kpts = np.array(([0, 0, 0])) #default Gamma point used in Dacapo when #BZKpoints not defined nc.close() return kpts def get_nbands(self): 'return the number of bands used in the calculation' nc = netCDF(self.nc, 'r') if 'ElectronicBands' in nc.variables: v = nc.variables['ElectronicBands'] if hasattr(v, 'NumberOfBands'): nbands = int(v.NumberOfBands[0]) else: nbands = None else: nbands = None nc.close() return nbands def get_ft(self): 'return the FermiTemperature used in the calculation' nc = netCDF(self.nc, 'r') if 'ElectronicBands' in nc.variables: v = nc.variables['ElectronicBands'] if hasattr(v, 'OccupationStatistics_FermiTemperature'): ft = v.OccupationStatistics_FermiTemperature else: ft = None else: ft = None nc.close() return ft def get_dipole(self): 'return dictionary of parameters if the DipoleCorrection was used' nc = netCDF(self.get_nc(), 'r') pars = {} if 'DipoleCorrection' in nc.variables: v = nc.variables['DipoleCorrection'] pars['status'] = True if hasattr(v, 'MixingParameter'): pars['mixpar'] = v.MixingParameter if hasattr(v, 'InitialValue'): pars['initval'] = v.InitialValue if hasattr(v, 'AdditiveDipoleField'): pars['adddipfield'] = v.AdditiveDipoleField if hasattr(v, 'DipoleLayerPosition'): pars['position'] = v.DipoleLayerPosition else: pars = False nc.close() return pars def get_pw(self): 'return the planewave cutoff used' ncf = netCDF(self.nc, 'r') if 'PlaneWaveCutoff' in ncf.variables: pw = ncf.variables['PlaneWaveCutoff'].getValue() else: pw = None ncf.close() if (isinstance(pw, int) or isinstance(pw, float) or isinstance(pw,np.int32)): return pw elif pw is None: return None else: return pw[0] def get_dw(self): 'return the density wave cutoff' ncf = netCDF(self.nc, 'r') if 'Density_WaveCutoff' in ncf.variables: dw = ncf.variables['Density_WaveCutoff'].getValue() else: dw = None ncf.close() #some old calculations apparently store ints, while newer ones #are lists if (isinstance(dw, int) or isinstance(dw, float) or isinstance(dw, np.int32)): return dw else: if dw is None: return None else: return dw[0] def get_xc(self): '''return the self-consistent exchange-correlation functional used returns a string''' nc = netCDF(self.nc, 'r') v = 'ExcFunctional' if v in nc.variables: xc = nc.variables[v][:].tostring().strip() else: xc = None nc.close() return xc def get_number_of_iterations(self): niter = None if self.calculation_required(): self.calculate() txt = self.get_txt() if os.path.exists(txt): f = open(txt,'r') for line in f: if 'Number of iterations =' in line: niter = int(line.split('=')[1]) break f.close() return niter def get_potential_energy(self, atoms=None, force_consistent=False): ''' return the potential energy. ''' if self.calculation_required(atoms): log.debug('calculation required for energy') self.calculate() else: log.debug('no calculation required for energy') nc = netCDF(self.get_nc(), 'r') try: if force_consistent: e = nc.variables['TotalFreeEnergy'][-1] else: e = nc.variables['TotalEnergy'][-1] nc.close() return e except (TypeError, KeyError): raise RuntimeError('Error in calculating the total energy\n' + 'check %s for error messages' % self.get_txt()) def get_forces(self, atoms=None): """Calculate atomic forces""" if atoms is None: atoms = self.atoms if self.calculation_required(atoms): self.calculate() nc = netCDF(self.get_nc(), 'r') forces = nc.variables['DynamicAtomForces'][-1] nc.close() return forces def get_atoms(self): 'return the atoms attached to a calculator()' if hasattr(self, 'atoms'): if self.atoms is None: return None atoms = self.atoms.copy() #it is not obvious the copy of atoms should have teh same #calculator atoms.set_calculator(self) else: atoms = None return atoms def get_nc(self): 'return the ncfile used for output' return self.nc def get_txt(self): 'return the txt file used for output' if hasattr(self,'txt'): return self.txt else: return None def get_psp(self, sym=None, z=None): '''get the pseudopotential filename from the psp database :Parameters: sym : string the chemical symbol of the species z : integer the atomic number of the species you can only specify sym or z. Returns the pseudopotential filename, not the full path. ''' if sym is None and z is None: return None if (sym is None and z is not None): from ase.data import chemical_symbols sym = chemical_symbols[z] elif (sym is not None and z is None): pass else: raise Exception, 'You can only specify Z or sym!' psp = self.psp[sym] return psp def get_spin_polarized(self): 'Return True if calculate is spin-polarized or False if not' #self.calculate() #causes recursion error with get_magnetic_moments nc = netCDF(self.nc, 'r') if 'ElectronicBands' in nc.variables: v = nc.variables['ElectronicBands'] if hasattr(v, 'SpinPolarization'): if v.SpinPolarization == 1: spinpol = False elif v.SpinPolarization == 2: spinpol = True else: spinpol = False else: spinpol = 'Not defined' nc.close() return spinpol def get_magnetic_moments(self, atoms=None): '''return magnetic moments on each atom after the calculation is run''' if self.calculation_required(atoms): self.calculate() nc = netCDF(self.nc, 'r') if 'InitialAtomicMagneticMoment' in nc.variables: mom = nc.variables['InitialAtomicMagneticMoment'][:] else: mom = [0.0]*len(self.atoms) nc.close() return mom def get_status(self): '''get status of calculation from ncfile. usually one of: 'new', 'aborted' 'running' 'finished' None ''' nc = netCDF(self.nc, 'r') if hasattr(nc, 'status'): status = nc.status else: status = None nc.close() return status def get_calculate_stress(self): 'return whether stress is calculated or not' nc = netCDF(self.get_nc(), 'r') if 'TotalStress' in nc.variables: calcstress = True else: calcstress = False nc.close() return calcstress def get_stress(self, atoms=None): '''get stress on the atoms. you should have set up the calculation to calculate stress first. returns [sxx, syy, szz, syz, sxz, sxy]''' if self.calculation_required(atoms): self.calculate() nc = netCDF(self.get_nc(), 'r') if 'TotalStress' in nc.variables: stress = nc.variables['TotalStress'][:] #ase expects the 6-element form stress = np.take(stress.ravel(), [0, 4, 8, 5, 2, 1]) else: #stress will not be here if you did not set it up by #calling set_stress() or in the __init__ stress = None nc.close() return stress def get_psp_valence(self, psp): ''' get the psp valence charge on an atom from the pspfile. ''' from struct import unpack dacapopath = os.environ.get('DACAPOPATH', '') if os.path.exists(psp): #the pspfile may be in the current directory #or defined by an absolute path fullpsp = psp else: #or, it is in the default psp path fullpsp = os.path.join(dacapopath, psp) if os.path.exists(fullpsp.strip()): f = open(fullpsp) # read past version numbers and text information buf = f.read(64) # read number valence electrons buf = f.read(8) fmt = ">d" nvalence = unpack(fmt, buf)[0] f.close() else: raise Exception, "%s does not exist" % fullpsp return nvalence def get_psp_nuclear_charge(self, psp): ''' get the nuclear charge of the atom from teh psp-file. This is not the same as the atomic number, nor is it necessarily the negative of the number of valence electrons, since a psp may be an ion. this function is needed to compute centers of ion charge for the dipole moment calculation. We read in the valence ion configuration from the psp file and add up the charges in each shell. ''' from struct import unpack dacapopath = os.environ.get('DACAPOPATH') if os.path.exists(psp): #the pspfile may be in the current directory #or defined by an absolute path fullpsp = psp else: #or, it is in the default psp path fullpsp = os.path.join(dacapopath, psp) if os.path.exists(fullpsp.strip()): f = open(fullpsp) unpack('>i', f.read(4))[0] for i in range(3): f.read(4) for i in range(3): f.read(4) f.read(8) f.read(20) f.read(8) f.read(8) f.read(8) nvalps = unpack('>i', f.read(4))[0] f.read(4) f.read(8) f.read(8) wwnlps = [] for i in range(nvalps): f.read(4) wwnlps.append(unpack('>d', f.read(8))[0]) f.read(8) f.close() else: raise Exception, "%s does not exist" % fullpsp return np.array(wwnlps).sum() def get_valence(self, atoms=None): '''return the total number of valence electrons for the atoms. valence electrons are read directly from the pseudopotentials. the psp filenames are stored in the ncfile. They may be just the name of the file, in which case the psp may exist in the same directory as the ncfile, or in $DACAPOPATH, or the psp may be defined by an absolute or relative path. This function deals with all these possibilities. ''' from struct import unpack #do not use get_atoms() or recursion occurs if atoms is None: if hasattr(self, 'atoms'): atoms = self.atoms else: return None dacapopath = os.environ.get('DACAPOPATH') totval = 0.0 for sym in atoms.get_chemical_symbols(): psp = self.get_psp(sym) if os.path.exists(psp): #the pspfile may be in the current directory #or defined by an absolute path fullpsp = psp #let's also see if we can construct an absolute path to a #local or relative path psp. abs_path_to_nc = os.path.abspath(self.get_nc()) base = os.path.split(abs_path_to_nc)[0] possible_path_to_psp = os.path.join(base, psp) if os.path.exists(possible_path_to_psp): fullpsp = possible_path_to_psp else: #or, it is in the default psp path fullpsp = os.path.join(dacapopath, psp) if os.path.exists(fullpsp.strip()): f = open(fullpsp) # read past version numbers and text information buf = f.read(64) # read number valence electrons buf = f.read(8) fmt = ">d" nvalence = unpack(fmt, buf)[0] f.close() totval += float(nvalence) else: print "%s does not exist" % fullpsp totval = None return totval def calculation_required(self, atoms=None, quantities=None): ''' determines if a calculation is needed. return True if a calculation is needed to get up to date data. return False if no calculation is needed. quantities is here because of the ase interface. ''' # first, compare if the atoms is the same as the stored atoms # if anything has changed, we need to run a calculation log.debug('running calculation_required') if self.nc is None: raise Exception, 'No output ncfile specified!' if atoms is not None: if not self.atoms_are_equal(atoms): log.debug('found that atoms != self.atoms') tol = 1.0e-6 #tolerance that the unit cell is the same new = atoms.get_cell() old = self.atoms.get_cell() #float comparison of equality if not np.all(abs(old-new) < tol): #this often changes the number of planewaves #which requires a complete restart log.debug('restart required! because cell changed') self.restart() else: log.debug('Unitcells apparently the same') self.set_atoms(atoms) #we have to update the atoms in any case return True #if we make it past the atoms check, we look in the #nc file. if parameters have been changed the status #will tell us if a calculation is needed #past this point, atoms was None or equal, so there is nothing to #update in the calculator log.debug('atoms tested equal') if os.path.exists(self.nc): nc = netCDF(self.nc, 'r') if hasattr(nc, 'status'): if nc.status == 'finished' and self.ready: nc.close() return False elif nc.status == 'running': nc.close() raise DacapoRunning('Dacapo is Running') elif nc.status == 'aborted': nc.close() raise DacapoAborted('Dacapo aborted. see txt file!') else: log.debug('ncfile exists, but is not ready') nc.close() return True else: #legacy calculations do not have a status flag in them. #let us guess that if the TotalEnergy is there #no calculation needs to be run? if 'TotalEnergy' in nc.variables: runflag = False else: runflag = True nc.close() log.debug('Legacy calculation') return runflag #if no status run calculation nc.close() #default, a calculation is required return True def get_scratch(self): '''finds an appropriate scratch directory for the calculation''' import getpass username = getpass.getuser() scratch_dirs = [] if os.environ.has_key('SCRATCH'): scratch_dirs.append(os.environ['SCRATCH']) if os.environ.has_key('SCR'): scratch_dirs.append(os.environ['SCR']) scratch_dirs.append('/scratch/'+username) scratch_dirs.append('/scratch/') scratch_dirs.append(os.curdir) for scratch_dir in scratch_dirs: if os.access(scratch_dir, os.W_OK): return scratch_dir raise IOError, "No suitable scratch directory and no write access \ to current dir." def set_parent(self,parent): if hasattr(self,'children'): raise RuntimeError,"Cannot create grandparents." self.parent = parent def attach_child(self,child): if hasattr(self,'parent'): raise RuntimeError,"Cannot create grandchildren!" if not hasattr(self,'children'): self.children = [] self.children.append(child) child.set_parent(self) def calculate(self): '''run a calculation. you have to be a little careful with code in here. Use the calculation_required function to tell if a calculation is required. It is assumed here that if you call this, you mean it.''' #provide a way to make no calculation get run if os.environ.get('DACAPO_DRYRUN', None) is not None: raise DacapoDryrun, '$DACAPO_DRYRUN detected, and a calculation \ attempted' if hasattr(self,'children'): # We are a parent and call execute_parent_calculation self.execute_parent_calculation() return if hasattr(self,'parent'): # we're a child and call the parent log.debug("I'm a child. Calling parent instead.") self.parent.calculate() # call the parent process to calculate all images return if not self.ready: log.debug('Calculator is not ready.') if not os.path.exists(self.get_nc()): self.initnc() log.debug('writing atoms out') log.debug(self.atoms) self.write_nc() #write atoms to ncfile log.debug('writing input out') self.write_input() #make sure input is uptodate #check that the bands get set if self.get_nbands() is None: nelectrons = self.get_valence() nbands = int(nelectrons * 0.65 + 4) self.set_nbands(nbands) log.debug('running a calculation') nc = self.get_nc() txt = self.get_txt() scratch = self.get_scratch() if self.stay_alive: self.execute_external_dynamics(nc, txt) self.ready = True self.set_status('finished') else: # if Dynamics:ExternalIonMotion_script is set in the .nc file from a previous run # and stay_alive is false for the continuation run, the Fortran executable continues # taking steps of size 0 and ends in an infinite loop. # Solution: remove the Dynamics variable if present when not running with stay_alive # self.delete_ncattdimvar(self.nc,ncvars=['Dynamics']) cmd = "dacapo.run '%(innc)s' -out '%(txt)s' -scratch %(scratch)s" cmd = cmd % {'innc':nc, 'txt':txt, 'scratch':scratch} log.debug(cmd) # using subprocess instead of commands subprocess is more # flexible and works better for stay_alive self._dacapo = sp.Popen(cmd, stdout=sp.PIPE, stderr=sp.PIPE, shell=True) status = self._dacapo.wait() [stdout, stderr] = self._dacapo.communicate() output = stdout+stderr if status is 0: #that means it ended fine! self.ready = True self.set_status('finished') else: log.debug('Status was not 0') log.debug(output) self.ready = False # directory cleanup has been moved to self.__del__() del self._dacapo #Sometimes dacapo dies or is killed abnormally, and in this #case an exception should be raised to prevent a geometry #optimization from continuing for example. The best way to #detect this right now is actually to check the end of the #text file to make sure it ends with the right line. The #line differs if the job was run in parallel or in serial. f = open(txt, 'r') lines = f.readlines() f.close() if 'PAR: msexit halting Master' in lines[-1]: pass #standard parallel end elif ('TIM' in lines[-2] and 'clexit: exiting the program' in lines[-1]): pass #standard serial end else: # text file does not end as expected, print the last # 10 lines and raise exception log.debug(string.join(lines[-10:-1], '')) s = 'Dacapo output txtfile (%s) did not end normally.\n' s += ''.join(lines[-10:-1]) raise DacapoAbnormalTermination(s % txt) def execute_parent_calculation(self): ''' Implementation of an extra level of parallelization, where one jacapo calculator spawns several dacapo.run processes. This is used for NEBs parallelized over images. ''' nchildren = len(self.children) log.debug("I'm a parent and start a calculation for ",nchildren," children.") self._dacapo = nchildren*[None] # export the number of children to the environment env = os.environ env['JACAPO_NIMAGES'] = str(nchildren) # start a dacapo.run instance for each child for i,child in enumerate(self.children): nc = child.get_nc() txt= child.get_txt() scratch = child.get_scratch() if not os.path.exists(nc): child.initnc() child.write_nc() #write atoms to ncfile child.write_input() #make sure input is uptodate #check that the bands get set if child.get_nbands() is None: nelectrons = child.get_valence() nbands = int(nelectrons * 0.65 + 4) child.set_nbands(nbands) env['JACAPO_IMAGE'] = str(i) cmd = "dacapo.run '%(innc)s' -out '%(txt)s' -scratch %(scratch)s" cmd = cmd % {'innc':nc, 'txt':txt, 'scratch':scratch} log.debug(cmd) self._dacapo[i] = sp.Popen(cmd,stdout=sp.PIPE,stderr=sp.PIPE,shell=True,env=env) print 'now waiting for all children to finish' # now wait for all processes to finish for i,child in enumerate(self.children): status = self._dacapo[i].wait() [stdout,stderr] = self._dacapo[i].communicate() output = stdout+stderr if status is 0: #that means it ended fine! child.ready = True child.set_status('finished') else: log.debug('Status was not 0') log.debug(output) child.ready = False # could also check the end of the output .txt file to make sure everything was fine. del self._dacapo def execute_external_dynamics(self, nc=None, txt=None, stoppfile='stop', stopprogram=None): ''' Implementation of the stay alive functionality with socket communication between dacapo and python. Known limitations: It is not possible to start 2 independent Dacapo calculators from the same python process, since the python PID is used as identifier for the script[PID].py file. ''' from socket import socket, AF_INET, SOCK_STREAM, timeout import tempfile if hasattr(self, "_dacapo"): msg = "Starting External Dynamics while Dacapo is runnning: %s" msg = msg % str(self._dacapo.poll()) log.debug(msg) else: log.debug("No dacapo instance has been started yet") log.debug("Stopprogram: %s" % stopprogram) if not nc: nc = self.get_nc() if not txt: txt = self.get_txt() tempfile.tempdir = os.curdir if stopprogram: # write stop file stfile = open(stoppfile, 'w') stfile.write('1 \n') stfile.close() # signal to dacapo that positions are ready # let dacapo continue, it is up to the python mainloop # to allow dacapo enough time to finish properly. self._client.send('ok too proceed') # Wait for dacapo to acknowledge that netcdf file has # been updated, and analysis part of the code has been # terminated. Dacapo sends a signal at the end of call # clexit(). log.info("waiting for dacapo to exit...") self.s.settimeout(1200.0) # if dacapo exits with an # error, self.s.accept() # should time out, # but we need to give it # enough time to write the # wave function to the nc # file. try: self._client, self._addr = self.s.accept() # Last # mumble # before # Dacapo # dies. os.system("sleep 5") # 5 seconds of silence # mourning # dacapo. except timeout: print '''Socket connection timed out.''' print '''This usually means Dacapo crashed.''' # close the socket s self.s.close() self._client.close() # remove the script???? file ncfile = netCDF(nc, 'r') vdyn = ncfile.variables['Dynamics'] os.system("rm -f '"+vdyn.ExternalIonMotion_script+"'") ncfile.close() os.system('rm -f '+stoppfile) if self._dacapo.poll()==None: # dacapo is still not dead! # but this should do it! sp.Popen("kill -9 "+str(self._dacapo.pid), shell=True) #if Dacapo dies for example because of too few #bands, subprocess never returns an exitcode. #very strange, but at least the program is #terminated. print self._dacapo.returncode del self._dacapo return if hasattr(self, '_dacapo') and self._dacapo.poll()==None: # returns None if dacapo is running self._dacapo_is_running: # calculation_required already updated the positions in # the nc file self._client.send('ok too proceed') else: # get process pid that will be used as communication # channel pid = os.getpid() # setup communication channel to dacapo from sys import version from string import split effpid = (pid)%(2**16-1025)+1025 # This translate pid # [0;99999] to a number # in [1025;65535] (the # allowed socket # numbers) self.s = socket(AF_INET, SOCK_STREAM) foundafreesocket = 0 while not foundafreesocket: try: if split(version)[0] > "2": # new interface self.s.bind(("", effpid)) else: # old interface self.s.bind("", effpid) foundafreesocket = 1 except: effpid = effpid + 1 # write script file that will be used by dacapo scriptname = 'script%s.py' % str(pid) scriptfile = open(scriptname, 'w') scriptfile.write( """#!/usr/bin/env python from socket import * from sys import version from string import split s = socket(AF_INET,SOCK_STREAM) # tell python that dacapo has finished if split(version)[0] > "2": # new interface s.connect(("",%(effpid)s)) else: # old interface s.connect("",%(effpid)s) # wait for python main loop s.recv(14) """ % {'effpid':str(effpid)}) scriptfile.close() os.system('chmod +x ' + scriptname) # setup dynamics as external and set the script name ncfile = netCDF(nc, 'a') if 'Dynamics' not in ncfile.variables: vdyn = ncfile.createVariable('Dynamics', 'c', ()) else: vdyn = ncfile.variables['Dynamics'] vdyn.Type = "ExternalIonMotion" vdyn.ExternalIonMotion_script = './'+ scriptname ncfile.close() # dacapo is not running start dacapo non blocking scratch_in_nc = tempfile.mktemp() os.system('mv '+nc+' '+scratch_in_nc) os.system('rm -f '+stoppfile) scratch = self.get_scratch() cmd = "dacapo.run" cmd += " '%(innc)s' '%(outnc)s' -out '%(txt)s' -scratch %(scratch)s" cmd = cmd % {'innc':scratch_in_nc, 'outnc':nc, 'txt':txt, 'scratch':scratch} log.debug(cmd) self._dacapo = sp.Popen(cmd, stdout=sp.PIPE, stderr=sp.PIPE, shell=True) self.s.listen(1) # wait for dacapo self._client, self._addr = self.s.accept() def write_nc(self, nc=None, atoms=None): ''' write out atoms to a netcdffile. This does not write out the calculation parameters! :Parameters: nc : string ncfilename to write to. this file will get clobbered if it already exists. atoms : ASE.Atoms atoms to write. if None use the attached atoms if no atoms are attached only the calculator is written out. the ncfile is always opened in 'a' mode. note: it is good practice to use the atoms argument to make sure that the geometry you mean gets written! Otherwise, the atoms in the calculator is used, which may be different than the external copy of the atoms. ''' log.debug('writing atoms to ncfile with write_nc') #no filename was provided to function, use the current ncfile if nc is None: nc = self.get_nc() if nc != self.nc: #this means we are writing a new file, and we should copy #the old file to it first. this makes sure the old #calculator settings are preserved new = nc old = self.nc log.debug('Copying old ncfile to new ncfile') log.debug("cp '%s' '%s'" % (old, new)) os.system("cp '%s' '%s'" % (old, new)) if atoms is None: atoms = self.get_atoms() log.debug('self.atoms = %s' % str(self.atoms)) log.debug('atoms = %s' % str(atoms)) if atoms is not None: #there may still be no atoms attached log.debug('about to write to %s' % nc) ncf = netCDF(nc, 'a') if 'number_of_dynamic_atoms' not in ncf.dimensions: ncf.createDimension('number_of_dynamic_atoms', len(atoms)) else: # number of atoms is already a dimension, but we might # be setting new atoms here # check for same atom symbols (implicitly includes # a length check) symbols = np.array(['%2s' % s for s in atoms.get_chemical_symbols()], dtype='c') ncsym = ncf.variables['DynamicAtomSpecies'][:] if (symbols.size != ncsym.size) or (np.any(ncsym != symbols)): # the number of atoms or their order has changed. # Treat this as a new calculation and reset # number_of_ionic_steps and # number_of_dynamic_atoms. ncf.close() #nc file must be closed for #delete_ncattdimvar to work correctly self.delete_ncattdimvar(nc, ncattrs=[], ncdims=['number_of_dynamic_atoms', 'number_ionic_steps']) ncf = netCDF(nc, 'a') ncf.createDimension('number_of_dynamic_atoms', len(atoms)) ncf.createDimension('number_ionic_steps', None) self._set_frame_number(0) ncf.close() #nc file must be closed for restart to #work correctly self.restart() ncf = netCDF(nc, 'a') #now, create variables if 'DynamicAtomSpecies' not in ncf.variables: sym = ncf.createVariable('DynamicAtomSpecies', 'c', ('number_of_dynamic_atoms', 'dim2',)) else: sym = ncf.variables['DynamicAtomSpecies'] #note explicit array casting was required here symbols = atoms.get_chemical_symbols() sym[:] = np.array(['%2s' % s for s in symbols], dtype='c') if 'DynamicAtomPositions' not in ncf.variables: pos = ncf.createVariable('DynamicAtomPositions', 'd', ('number_ionic_steps', 'number_of_dynamic_atoms', 'dim3')) else: pos = ncf.variables['DynamicAtomPositions'] spos = atoms.get_scaled_positions() if pos.typecode() == 'f': spos = np.array(spos, dtype=np.float32) pos[self._frame, :] = spos if 'UnitCell' not in ncf.variables: uc = ncf.createVariable('UnitCell', 'd', ('number_ionic_steps', 'dim3', 'dim3')) else: uc = ncf.variables['UnitCell'] cell = atoms.get_cell() if uc.typecode() == 'f': cell = np.array(cell, dtype=np.float32) uc[self._frame, :] = cell if 'AtomTags' not in ncf.variables: tags = ncf.createVariable('AtomTags', 'i', ('number_of_dynamic_atoms',)) else: tags = ncf.variables['AtomTags'] tags[:] = np.array(atoms.get_tags(), np.int32) if 'InitialAtomicMagneticMoment' not in ncf.variables: mom = ncf.createVariable('InitialAtomicMagneticMoment', 'd', ('number_of_dynamic_atoms',)) else: mom = ncf.variables['InitialAtomicMagneticMoment'] #explain why we have to use get_initial_magnetic_moments() moms = atoms.get_initial_magnetic_moments() if mom.typecode() == 'f': moms = np.array(moms, dtype=np.float32) mom[:] = moms #finally the atom pseudopotentials for sym in atoms.get_chemical_symbols(): vn = 'AtomProperty_%s' % sym if vn not in ncf.variables: p = ncf.createVariable(vn, 'c', ('dim20',)) else: p = ncf.variables[vn] ppath = self.get_psp(sym=sym) p.PspotFile = ppath ncf.sync() ncf.close() #store constraints if they exist constraints = atoms._get_constraints() if constraints != []: nc = netCDF(self.get_nc(), 'a') if 'constraints' not in nc.variables: if 'dim1' not in nc.dimensions: nc.createDimension('dim1', 1) c = nc.createVariable('constraints', 'c', ('dim1',)) else: c = nc.variables['constraints'] #we store the pickle string as an attribute of a #netcdf variable because that way we do not have to #know how long the string is. with a character #variable you have to specify the dimension of the #string ahead of time. c.data = pickle.dumps(constraints) nc.close() else: # getting here means there where no constraints on the # atoms just written we should check if there are any # old constraints left in the ncfile # from a previous atoms, and delete them if so delete_constraints = False nc = netCDF(self.get_nc()) if 'constraints' in nc.variables: delete_constraints = True nc.close() if delete_constraints: log.debug('deleting old constraints') self.delete_ncattdimvar(self.nc, ncvars=['constraints']) def read_atoms(filename): '''read atoms and calculator from an existing netcdf file. :Parameters: filename : string name of file to read from. static method example:: >>> atoms = Jacapo.read_atoms(ncfile) >>> calc = atoms.get_calculator() this method is here for legacy purposes. I used to use it alot. ''' calc = Jacapo(filename) atoms = calc.get_atoms() return atoms read_atoms = staticmethod(read_atoms) def read_only_atoms(self, ncfile): '''read only the atoms from an existing netcdf file. Used to initialize a calculator from a ncfilename. :Parameters: ncfile : string name of file to read from. return ASE.Atoms with no calculator attached or None if no atoms found ''' from ase import Atoms nc = netCDF(ncfile, 'r') #some ncfiles do not have atoms in them if 'UnitCell' not in nc.variables: log.debug('no unit cell found in ncfile') nc.close() return None cell = nc.variables['UnitCell'][:][-1] sym = nc.variables['DynamicAtomSpecies'][:] symbols = [x.tostring().strip() for x in sym] spos = nc.variables['DynamicAtomPositions'][:][-1] pos = np.dot(spos, cell) atoms = Atoms(symbols=symbols, positions=pos, cell=cell) if 'AtomTags' in nc.variables: tags = nc.variables['AtomTags'][:] atoms.set_tags(tags) if 'InitialAtomicMagneticMoment' in nc.variables: mom = nc.variables['InitialAtomicMagneticMoment'][:] atoms.set_initial_magnetic_moments(mom) #update psp database for sym in symbols: vn = 'AtomProperty_%s' % sym if vn in nc.variables: var = nc.variables[vn] pspfile = var.PspotFile self.psp[sym] = pspfile #get constraints if they exist c = nc.variables.get('constraints', None) if c is not None: constraints = pickle.loads(c.data) atoms.set_constraint(constraints) nc.close() return atoms def delete_ncattdimvar(self, ncf, ncattrs=None, ncdims=None, ncvars=None): ''' helper function to delete attributes, dimensions and variables in a netcdffile this functionality is not implemented for some reason in netcdf, so the only way to do this is to copy all the attributes, dimensions, and variables to a new file, excluding the ones you want to delete and then rename the new file. if you delete a dimension, all variables with that dimension are also deleted. ''' if ncattrs is None: ncattrs = [] if ncdims is None: ncdims = [] if ncvars is None: ncvars = [] log.debug('beginning: going to delete dims: %s' % str(ncdims)) log.debug('beginning: going to delete vars: %s' % str(ncvars)) oldnc = netCDF(ncf, 'r') #h,tempnc = tempfile.mkstemp(dir='.',suffix='.nc') tempnc = ncf+'.temp' newnc = netCDF(tempnc, 'w') for attr in dir(oldnc): if attr in ['close', 'createDimension', 'createVariable', 'flush', 'sync']: continue if attr in ncattrs: continue #do not copy this attribute setattr(newnc, attr, getattr(oldnc, attr)) #copy dimensions for dim in oldnc.dimensions: if dim in ncdims: log.debug('deleting %s of %s' % (dim, str(ncdims))) continue #do not copy this dimension size = oldnc.dimensions[dim] newnc.createDimension(dim, size) # we need to delete all variables that depended on a deleted dimension for v in oldnc.variables: dims1 = oldnc.variables[v].dimensions for dim in ncdims: if dim in dims1: s = 'deleting "%s" because it depends on dim "%s"' log.debug(s %(v, dim)) ncvars.append(v) #copy variables, except the ones to delete for v in oldnc.variables: if v in ncvars: log.debug('vars to delete: %s ' % ncvars) log.debug('deleting ncvar: %s' % v) continue #we do not copy this v over ncvar = oldnc.variables[v] tcode = ncvar.typecode() #char typecodes do not come out right apparently if tcode == " ": tcode = 'c' ncvar2 = newnc.createVariable(v, tcode, ncvar.dimensions) try: ncvar2[:] = ncvar[:] except TypeError: #this exception occurs for scalar variables #use getValue and assignValue instead ncvar2.assignValue(ncvar.getValue()) #and variable attributes #print dir(ncvar) for att in dir(ncvar): if att in ['assignValue', 'getValue', 'typecode']: continue setattr(ncvar2, att, getattr(ncvar, att)) oldnc.close() newnc.close() s = 'looking for .nfs files before copying: %s' log.debug(s % glob.glob('.nfs*')) #ack!!! this makes .nfsxxx files!!! #os.close(h) #this avoids the stupid .nfsxxx file #import shutil #shutil.move(tempnc,ncf) #this seems to avoid making the .nfs files os.system("cp '%s' '%s'" % (tempnc, ncf)) os.system("rm '%s'" % tempnc) s = 'looking for .nfs files after copying: %s' log.debug(s % glob.glob('.nfs*')) def restart(self): ''' Restart the calculator by deleting nc dimensions that will be rewritten on the next calculation. This is sometimes required when certain dimensions change related to unitcell size changes planewave/densitywave cutoffs and kpt changes. These can cause fortran netcdf errors if the data does not match the pre-defined dimension sizes. also delete all the output from previous calculation. ''' log.debug('restarting!') ncdims = ['number_plane_waves', 'number_IBZ_kpoints', 'softgrid_dim1', 'softgrid_dim2', 'softgrid_dim3', 'hardgrid_dim1', 'hardgrid_dim2', 'hardgrid_dim3', 'max_projectors_per_atom', 'atomdos_energygrid_size', 'atomdos_angular_channels', 'atomdos_radial_orbs'] ncvars = ['TotalEnergy', 'TotalFreeEnergy', 'EvaluateTotalEnergy', 'DynamicAtomForces', 'FermiLevel', 'EnsembleXCEnergies', 'AtomProjectedDOS_IntegratedDOS', 'AtomProjectedDOS_OrdinalMap', 'NumberPlaneWavesKpoint', 'AtomProjectedDOS_EnergyResolvedDOS', 'AtomProjectedDOS_EnergyGrid', 'EvaluateCorrelationEnergy', 'DynamicAtomVelocities', 'KpointWeight', 'EvaluateExchangeEnergy', 'EffectivePotential', 'TotalStress', 'ChargeDensity', 'WaveFunction', 'WaveFunctionFFTindex', 'NumberOfNLProjectors', 'NLProjectorPsi', 'TypeNLProjector1', 'NumberofNLProjectors', 'PartialCoreDensity', 'ChargeDensity', 'ElectrostaticPotential', 'StructureFactor', 'EigenValues', 'OccupationNumbers'] self.delete_ncattdimvar(self.nc, ncattrs=[], ncdims=ncdims, ncvars=ncvars) self.set_status('new') self.ready = False def get_convergence(self): 'return convergence settings for Dacapo' nc = netCDF(self.get_nc(), 'r') vname = 'ConvergenceControl' if vname in nc.variables: v = nc.variables[vname] convergence = {} if hasattr(v, 'AbsoluteEnergyConvergence'): convergence['energy'] = v.AbsoluteEnergyConvergence[0] if hasattr(v, 'DensityConvergence'): convergence['density'] = v.DensityConvergence[0] if hasattr(v, 'OccupationConvergence'): convergence['occupation'] = v.OccupationConvergence[0] if hasattr(v, 'MaxNumberOfSteps'): convergence['maxsteps'] = v.MaxNumberOfSteps[0] if hasattr(v, 'CPUTimeLimit'): convergence['cputime'] = v.CPUTimeLimit[0] else: convergence = None nc.close() return convergence def set_convergence(self, energy=0.00001, density=0.0001, occupation=0.001, maxsteps=None, maxtime=None ): '''set convergence criteria for stopping the dacapo calculator. :Parameters: energy : float set total energy change (eV) required for stopping density : float set density change required for stopping occupation : float set occupation change required for stopping maxsteps : integer specify maximum number of steps to take maxtime : integer specify maximum number of hours to run. Autopilot not supported here. ''' nc = netCDF(self.get_nc(), 'a') vname = 'ConvergenceControl' if vname in nc.variables: v = nc.variables[vname] else: v = nc.createVariable(vname, 'c', ('dim1',)) if energy is not None: v.AbsoluteEnergyConvergence = energy if density is not None: v.DensityConvergence = density if occupation is not None: v.OccupationConvergence = occupation if maxsteps is not None: v.MaxNumberOfSteps = maxsteps if maxtime is not None: v.CPUTimeLimit = maxtime nc.sync() nc.close() def get_charge_mixing(self): 'return charge mixing parameters' nc = netCDF(self.get_nc(), 'r') vname = 'ChargeMixing' if vname in nc.variables: v = nc.variables[vname] charge_mixing = {} if hasattr(v, 'Method'): charge_mixing['method'] = v.Method if hasattr(v, 'UpdateCharge'): charge_mixing['updatecharge'] = v.UpdateCharge if hasattr(v, 'Pulay_MixingHistory'): charge_mixing['mixinghistory'] = v.Pulay_MixingHistory[0] if hasattr(v, 'Pulay_DensityMixingCoeff'): charge_mixing['mixingcoeff'] = v.Pulay_DensityMixingCoeff[0] if hasattr(v, 'Pulay_KerkerPrecondition'): charge_mixing['precondition'] = v.Pulay_KerkerPrecondition else: charge_mixing = None nc.close() return charge_mixing def set_charge_mixing(self, method='Pulay', mixinghistory=10, mixingcoeff=0.1, precondition='No', updatecharge='Yes'): '''set density mixing method and parameters :Parameters: method : string 'Pulay' for Pulay mixing. only one supported now mixinghistory : integer number of iterations to mix Number of charge residual vectors stored for generating the Pulay estimate on the self-consistent charge density, see Sec. 4.2 in Kresse/Furthmuller: Comp. Mat. Sci. 6 (1996) p34ff mixingcoeff : float Mixing coefficient for Pulay charge mixing, corresponding to A in G$^1$ in Sec. 4.2 in Kresse/Furthmuller: Comp. Mat. Sci. 6 (1996) p34ff precondition : string 'Yes' or 'No' * "Yes" : Kerker preconditiong is used, i.e. q$_0$ is different from zero, see eq. 82 in Kresse/Furthmuller: Comp. Mat. Sci. 6 (1996). The value of q$_0$ is fix to give a damping of 20 of the lowest q vector. * "No" : q$_0$ is zero and mixing is linear (default). updatecharge : string 'Yes' or 'No' * "Yes" : Perform charge mixing according to ChargeMixing:Method setting * "No" : Freeze charge to initial value. This setting is useful when evaluating the Harris-Foulkes density functional ''' if method == 'Pulay': nc = netCDF(self.get_nc(), 'a') vname = 'ChargeMixing' if vname in nc.variables: v = nc.variables[vname] else: v = nc.createVariable(vname, 'c', ('dim1',)) v.Method = 'Pulay' v.UpdateCharge = updatecharge v.Pulay_MixingHistory = mixinghistory v.Pulay_DensityMixingCoeff = mixingcoeff v.Pulay_KerkerPrecondition = precondition nc.sync() nc.close() self.ready = False def set_electronic_minimization(self, method='eigsolve', diagsperband=2): '''set the eigensolver method Selector for which subroutine to use for electronic minimization Recognized options : "resmin", "eigsolve" and "rmm-diis". * "resmin" : Power method (Lennart Bengtson), can only handle k-point parallization. * "eigsolve : Block Davidson algorithm (Claus Bendtsen et al). * "rmm-diis : Residual minimization method (RMM), using DIIS (direct inversion in the iterate subspace) The implementaion follows closely the algorithm outlined in Kresse and Furthmuller, Comp. Mat. Sci, III.G/III.H :Parameters: method : string should be 'resmin', 'eigsolve' or 'rmm-diis' diagsperband : int The number of diagonalizations per band for electronic minimization algorithms (maps onto internal variable ndiapb). Applies for both ElectronicMinimization:Method = "resmin" and "eigsolve". default value = 2 ''' nc = netCDF(self.get_nc(), 'a') vname = 'ElectronicMinimization' if vname in nc.variables: v = nc.variables[vname] else: log.debug('Creating ElectronicMinimization') v = nc.createVariable(vname, 'c', ('dim1',)) log.debug('setting method for ElectronicMinimization: % s' % method) v.Method = method log.debug('setting DiagonalizationsBand for ElectronicMinimization') if diagsperband is not None: v.DiagonalizationsPerBand = diagsperband log.debug('synchronizing ncfile') nc.sync() nc.close() def get_electronic_minimization(self): '''get method and diagonalizations per band for electronic minimization algorithms''' log.debug('getting electronic minimization parameters') nc = netCDF(self.get_nc(), 'r') vname = 'ElectronicMinimization' if vname in nc.variables: v = nc.variables[vname] method = v.Method if hasattr(v, 'DiagonalizationsPerBand'): diagsperband = v.DiagonalizationsPerBand[0] else: diagsperband = None else: method = None diagsperband = None nc.close() return {'method':method, 'diagsperband':diagsperband} def get_occupationstatistics(self): 'return occupation statistics method' nc = netCDF(self.get_nc(), 'r') if 'ElectronicBands' in nc.variables: v = nc.variables['ElectronicBands'] if hasattr(v, 'OccupationStatistics'): occstat = v.OccupationStatistics else: occstat = None else: occstat = None nc.close() return occstat def set_occupationstatistics(self, method): ''' set the method used for smearing the occupations. :Parameters: method : string one of 'FermiDirac' or 'MethfesselPaxton' Currently, the Methfessel-Paxton scheme (PRB 40, 3616 (1989).) is implemented to 1th order (which is recommemded by most authors). 'FermiDirac' is the default ''' nc = netCDF(self.get_nc(), 'a') if 'ElectronicBands' in nc.variables: v = nc.variables['ElectronicBands'] v.OccupationStatistics = method nc.sync() nc.close() def get_fermi_level(self): 'return Fermi level' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') ef = nc.variables['FermiLevel'][-1] nc.close() return ef def get_occupation_numbers(self, kpt=0, spin=0): '''return occupancies of eigenstates for a kpt and spin :Parameters: kpt : integer index of the IBZ kpoint you want the occupation of spin : integer 0 or 1 ''' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') occ = nc.variables['OccupationNumbers'][:][-1][kpt, spin] nc.close() return occ def get_xc_energies(self, *functional): """ Get energies for different functionals self-consistent and non-self-consistent. :Parameters: functional : strings some set of 'PZ','VWN','PW91','PBE','revPBE', 'RPBE' This function returns the self-consistent energy and/or energies associated with various functionals. The functionals are currently PZ,VWN,PW91,PBE,revPBE, RPBE. The different energies may be useful for calculating improved adsorption energies as in B. Hammer, L.B. Hansen and J.K. Norskov, Phys. Rev. B 59,7413. Examples: get_xcenergies() #returns all the energies get_xcenergies('PBE') # returns the PBE total energy get_xcenergies('PW91','PBE','revPBE') # returns a # list of energies in the order asked for """ if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') funcenergies = nc.variables['EvaluateTotalEnergy'][:][-1] xcfuncs = nc.variables['EvalFunctionalOfDensity_XC'][:] nc.close() xcfuncs = [xc.tostring().strip() for xc in xcfuncs] edict = dict(zip(xcfuncs, funcenergies)) if len(functional) == 0: #get all energies by default functional = xcfuncs return [edict[xc] for xc in functional] # break of compatibility def get_ados_data(self, atoms, orbitals, cutoff, spin): '''get atom projected data :Parameters: atoms list of atom indices (integers) orbitals list of strings ['s','p','d'], ['px','py','pz'] ['d_zz', 'dxx-yy', 'd_xy', 'd_xz', 'd_yz'] cutoff : string cutoff radius you want the results for 'short' or 'infinite' spin : list of integers spin you want the results for [0] or [1] or [0,1] for both returns (egrid, ados) egrid has the fermi level at 0 eV ''' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') omapvar = nc.variables['AtomProjectedDOS_OrdinalMap'] omap = omapvar[:] #indices c = omapvar.AngularChannels channels = [x.strip() for x in c.split(',')] #channel names #this has dimensions(nprojections, nspins, npoints) ados = nc.variables['AtomProjectedDOS_EnergyResolvedDOS'][:] #this is the energy grid for all the atoms egrid = nc.variables['AtomProjectedDOS_EnergyGrid'][:] nc.close() #it is apparently not necessary to normalize the egrid to #the Fermi level. the data is already for ef = 0. #get list of orbitals, replace 'p' and 'd' in needed orbs = [] for o in orbitals: if o == 'p': orbs += ['p_x', 'p_y', 'p_z'] elif o == 'd': orbs += ['d_zz', 'dxx-yy', 'd_xy', 'd_xz', 'd_yz'] else: orbs += [o] orbinds = [channels.index(x) for x in orbs] cutdict = {'infinite':0, 'short':1} icut = cutdict[cutoff] ydata = np.zeros(len(egrid), np.float) for atomind in atoms: for oi in orbinds: ind = omap[atomind, icut, oi] for si in spin: ydata += ados[ind, si] return (egrid, ydata) def get_all_eigenvalues(self, spin=0): '''return all the eigenvalues at all the kpoints for a spin. :Parameters: spin : integer which spin the eigenvalues are for''' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') ev = nc.variables['EigenValues'][:][-1][:, spin] nc.close() return ev def get_eigenvalues(self, kpt=0, spin=0): '''return the eigenvalues for a kpt and spin :Parameters: kpt : integer index of the IBZ kpoint spin : integer which spin the eigenvalues are for''' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') ev = nc.variables['EigenValues'][:][-1][kpt, spin] nc.close() return ev def get_k_point_weights(self): 'return the weights on the IBZ kpoints' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') kw = nc.variables['KpointWeight'][:] nc.close() return kw def get_magnetic_moment(self, atoms=None): 'calculates the magnetic moment (Bohr-magnetons) of the supercell' if not self.get_spin_polarized(): return None if self.calculation_required(): self.calculate() nibzk = len(self.get_ibz_kpoints()) ibzkw = self.get_k_point_weights() spinup, spindn = 0.0, 0.0 for k in range(nibzk): spinup += self.get_occupation_numbers(k, 0).sum()*ibzkw[k] spindn += self.get_occupation_numbers(k, 1).sum()*ibzkw[k] return (spinup - spindn) def get_number_of_spins(self): 'if spin-polarized returns 2, if not returns 1' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') spv = nc.variables['ElectronicBands'] nc.close() if hasattr(spv, 'SpinPolarization'): return spv.SpinPolarization else: return 1 def get_ibz_kpoints(self): 'return list of kpoints in the irreducible brillouin zone' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') ibz = nc.variables['IBZKpoints'][:] nc.close() return ibz get_ibz_k_points = get_ibz_kpoints def get_bz_k_points(self): 'return list of kpoints in the Brillouin zone' nc = netCDF(self.get_nc(), 'r') if 'BZKpoints' in nc.variables: bz = nc.variables['BZKpoints'][:] else: bz = None nc.close() return bz def get_effective_potential(self, spin=1): ''' returns the realspace local effective potential for the spin. the units of the potential are eV :Parameters: spin : integer specify which spin you want, 0 or 1 ''' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') efp = np.transpose(nc.variables['EffectivePotential'][:][spin]) nc.close() fftgrids = self.get_fftgrid() hardgrid = fftgrids['hard'] x, y, z = self.get_ucgrid(hardgrid) return (x, y, z, efp) def get_electrostatic_potential(self, spin=0): '''get electrostatic potential Netcdf documentation:: double ElectrostaticPotential(number_of_spin, hardgrid_dim3, hardgrid_dim2, hardgrid_dim1) ; ElectrostaticPotential: Description = "realspace local effective potential" ; unit = "eV" ; ''' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') esp = np.transpose(nc.variables['ElectrostaticPotential'][:][spin]) nc.close() fftgrids = self.get_fftgrid() x, y, z = self.get_ucgrid(fftgrids['hard']) return (x, y, z, esp) def get_charge_density(self, spin=0): ''' return x,y,z,charge density data x,y,z are grids sampling the unit cell cd is the charge density data netcdf documentation:: ChargeDensity(number_of_spin, hardgrid_dim3, hardgrid_dim2, hardgrid_dim1) ChargeDensity:Description = "realspace charge density" ; ChargeDensity:unit = "-e/A^3" ; ''' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') cd = np.transpose(nc.variables['ChargeDensity'][:][spin]) #I am not completely sure why this has to be done #it does give units of electrons/ang**3 vol = self.get_atoms().get_volume() cd /= vol nc.close() grids = self.get_fftgrid() x, y, z = self.get_ucgrid(grids['hard']) return x, y, z, cd def get_ucgrid(self, dims): '''Return X,Y,Z grids for uniform sampling of the unit cell dims = (n0,n1,n2) n0 points along unitcell vector 0 n1 points along unitcell vector 1 n2 points along unitcell vector 2 ''' n0, n1, n2 = dims s0 = 1.0/n0 s1 = 1.0/n1 s2 = 1.0/n2 X, Y, Z = np.mgrid[0.0:1.0:s0, 0.0:1.0:s1, 0.0:1.0:s2] C = np.column_stack([X.ravel(), Y.ravel(), Z.ravel()]) atoms = self.get_atoms() uc = atoms.get_cell() real = np.dot(C, uc) #now convert arrays back to unitcell shape RX = np.reshape(real[:, 0], (n0, n1, n2)) RY = np.reshape(real[:, 1], (n0, n1, n2)) RZ = np.reshape(real[:, 2], (n0, n1, n2)) return (RX, RY, RZ) def get_number_of_grid_points(self): 'return soft fft grid' # needed by ase.dft.wannier fftgrids = self.get_fftgrid() return np.array(fftgrids['soft']) def get_wannier_localization_matrix(self, nbands, dirG, kpoint, nextkpoint, G_I, spin): 'return wannier localization matrix' if self.calculation_required(): self.calculate() if not hasattr(self, 'wannier'): from utils.wannier import Wannier self.wannier = Wannier(self) self.wannier.set_bands(nbands) self.wannier.set_spin(spin) locmat = self.wannier.get_zi_bloch_matrix(dirG, kpoint, nextkpoint, G_I) return locmat def initial_wannier(self, initialwannier, kpointgrid, fixedstates, edf, spin): 'return initial wannier' if self.calculation_required(): self.calculate() if not hasattr(self, 'wannier'): from utils.wannier import Wannier self.wannier = Wannier(self) self.wannier.set_data(initialwannier) self.wannier.set_k_point_grid(kpointgrid) self.wannier.set_spin(spin) waves = [[self.get_reciprocal_bloch_function(band=band, kpt=kpt, spin=spin) for band in range(self.get_nbands())] for kpt in range(len(self.get_ibz_k_points()))] self.wannier.setup_m_matrix(waves, self.get_bz_k_points()) #lfn is too keep line length below 78 characters lfn = self.wannier.get_list_of_coefficients_and_rotation_matrices c, U = lfn((self.get_nbands(), fixedstates, edf)) U = np.array(U) for k in range(len(c)): c[k] = np.array(c[k]) return c, U def get_dipole_moment(self,atoms=None): ''' return dipole moment of unit cell Defined by the vector connecting the center of electron charge density to the center of nuclear charge density. Units = eV*angstrom 1 Debye = 0.208194 eV*angstrom ''' if self.calculation_required(): self.calculate() if atoms is None: atoms = self.get_atoms() #center of electron charge density x, y, z, cd = self.get_charge_density() n1, n2, n3 = cd.shape nelements = n1*n2*n3 voxel_volume = atoms.get_volume()/nelements total_electron_charge = -cd.sum()*voxel_volume electron_density_center = np.array([(cd*x).sum(), (cd*y).sum(), (cd*z).sum()]) electron_density_center *= voxel_volume electron_density_center /= total_electron_charge electron_dipole_moment = electron_density_center*total_electron_charge electron_dipole_moment *= -1.0 #we need the - here so the two #negatives don't cancel # now the ion charge center psps = self.get_pseudopotentials()['pspdict'] ion_charge_center = np.array([0.0, 0.0, 0.0]) total_ion_charge = 0.0 for atom in atoms: Z = self.get_psp_nuclear_charge(psps[atom.symbol]) total_ion_charge += Z pos = atom.position ion_charge_center += Z*pos ion_charge_center /= total_ion_charge ion_dipole_moment = ion_charge_center*total_ion_charge dipole_vector = (ion_dipole_moment + electron_dipole_moment) return dipole_vector def get_reciprocal_bloch_function(self, band=0, kpt=0, spin=0): '''return the reciprocal bloch function. Need for Jacapo Wannier class.''' if self.calculation_required(): self.calculate() nc = netCDF(self.get_nc(), 'r') # read reciprocal bloch function npw = nc.variables['NumberPlaneWavesKpoint'][:] bf = nc.variables['WaveFunction'][kpt, spin, band] wflist = np.zeros(npw[kpt], np.complex) wflist.real = bf[0:npw[kpt], 1] wflist.imag = bf[0:npw[kpt], 0] nc.close() return wflist def get_reciprocal_fft_index(self, kpt=0): '''return the Wave Function FFT Index''' nc = netCDF(self.get_nc(), 'r') recind = nc.variables['WaveFunctionFFTindex'][kpt, :, :] nc.close() return recind def get_ensemble_coefficients(self): 'returns exchange correlation ensemble coefficients' # adapted from ASE/dacapo.py # def GetEnsembleCoefficients(self): # self.Calculate() # E = self.GetPotentialEnergy() # xc = self.GetNetCDFEntry('EnsembleXCEnergies') # Exc = xc[0] # exc_c = self.GetNetCDFEntry('EvaluateCorrelationEnergy') # exc_e = self.GetNetCDFEntry('EvaluateExchangeEnergy') # exc = exc_c + exc_e # if self.GetXCFunctional() == 'RPBE': # Exc = exc[-1][-1] # # E0 = xc[1] # Fx = 0 # # diff0 = xc[2] # - Exc # diff1 = xc[3] # - Exc # diff2 = xc[4] # - Exc # coefs = (E + E0 - Exc,diff0-E0 ,diff1-E0,diff2-E0) # print 'ensemble: (%.9f, %.9f, %.9f, %.9f)'% coefs # return num.array(coefs) if self.calculation_required(): self.calculate() E = self.get_potential_energy() nc = netCDF(self.get_nc(), 'r') if 'EnsembleXCEnergies' in nc.variables: v = nc.variables['EnsembleXCEnergies'] xc = v[:] EXC = xc[0] if 'EvaluateCorrelationEnergy' in nc.variables: v = nc.variables['EvaluateCorrelationEnergy'] exc_c = v[:] if 'EvaluateExchangeEnergy' in nc.variables: v = nc.variables['EvaluateExchangeEnergy'] exc_e = v[:] exc = exc_c + exc_e if self.get_xc == 'RPBE': EXC = exc[-1][-1] E0 = xc[1] # Fx = 0 diff0 = xc[2] # - Exc diff1 = xc[3] # - Exc diff2 = xc[4] # - Exc coefs = (E + E0 - EXC, diff0-E0, diff1-E0, diff2-E0) log.info('ensemble: (%.9f, %.9f, %.9f, %.9f)'% coefs) return np.array(coefs) def get_pseudo_wave_function(self, band=0, kpt=0, spin=0, pad=True): '''return the pseudo wavefunction''' # pad=True does nothing here. if self.calculation_required(): self.calculate() ibz = self.get_ibz_kpoints() #get the reciprocal bloch function wflist = self.get_reciprocal_bloch_function(band=band, kpt=kpt, spin=spin) # wflist == Reciprocal Bloch Function recind = self. get_reciprocal_fft_index(kpt) grids = self.get_fftgrid() softgrid = grids['soft'] # GetReciprocalBlochFunctionGrid wfrec = np.zeros((softgrid), np.complex) for i in xrange(len(wflist)): wfrec[recind[0, i]-1, recind[1, i]-1, recind[2, i]-1] = wflist[i] # calculate Bloch Function wf = wfrec.copy() dim = wf.shape for i in range(len(dim)): wf = np.fft.fft(wf, dim[i], axis=i) #now the phase function to get the bloch phase basis = self.get_atoms().get_cell() kpoint = np.dot(ibz[kpt], basis) #coordinates of relevant #kpoint in cartesian #coordinates def phasefunction(coor): 'return phasefunction' pf = np.exp(1.0j*np.dot(kpoint, coor)) return pf # Calculating the Bloch phase at the origin (0,0,0) of the grid origin = np.array([0., 0., 0.]) blochphase = phasefunction(origin) spatialshape = wf.shape[-len(basis):] gridunitvectors = np.array(map(lambda unitvector, shape:unitvector/shape, basis, spatialshape)) for dim in range(len(spatialshape)): # Multiplying with the phase at the origin deltaphase = phasefunction(gridunitvectors[dim]) # and calculating phase difference between each point newphase = np.fromfunction(lambda i, phase=deltaphase:phase**i, (spatialshape[dim],)) blochphase = np.multiply.outer(blochphase, newphase) return blochphase*wf def get_wave_function(self, band=0, kpt=0, spin=0): '''return the wave function. This is the pseudo wave function divided by volume.''' pwf = self.get_pseudo_wave_function(band=band, kpt=kpt, spin=spin, pad=True) vol = self.get_atoms().get_volume() fftgrids = self.get_fftgrid() softgrid = fftgrids['soft'] x, y, z = self.get_ucgrid((softgrid)) return x, y, z, pwf/np.sqrt(vol) def strip(self): '''remove all large memory nc variables not needed for anything I use very often. ''' self.delete_ncattdimvar(self.nc, ncdims=['max_projectors_per_atom'], ncvars=['WaveFunction', 'WaveFunctionFFTindex', 'NumberOfNLProjectors', 'NLProjectorPsi', 'TypeNLProjector1', 'NumberofNLProjectors', 'PartialCoreDensity', 'ChargeDensity', 'ElectrostaticPotential', 'StructureFactor']) # shortcut function names Jacapo.get_cd = Jacapo.get_charge_density Jacapo.get_wf = Jacapo.get_wave_function Jacapo.get_esp = Jacapo.get_electrostatic_potential Jacapo.get_occ = Jacapo.get_occupation_numbers Jacapo.get_ef = Jacapo.get_fermi_level Jacapo.get_number_of_bands = Jacapo.get_nbands Jacapo.get_electronic_temperature = Jacapo.get_ft Jacapo.get_number_of_electrons = Jacapo.get_valence python-ase-3.6.0.2515/ase/calculators/jacapo/lda_psp.py0000644000175400017540000000022411142260275021513 0ustar askhlaskhl# Copyright (C) 2005 jrk """ Default pseudopotential paths are defined here """ __docformat__ = 'reStructuredText' defaultpseudopotentials = {} python-ase-3.6.0.2515/ase/calculators/jacapo/pbe_psp.py0000644000175400017540000000046411142260275021527 0ustar askhlaskhl# Copyright (C) 2005 jrk """ Default pseudopotential paths are defined here """ __docformat__ = 'reStructuredText' defaultpseudopotentials = {'O':'008-O-gpbe-rc_1_3_nlc.uspp', 'Pd':'046-Pd-gpe-n-6projectors-floc.uspp', 'Ag':'047-Ag-gpe-n-floc.uspp'} python-ase-3.6.0.2515/ase/calculators/jacapo/validate.py0000644000175400017540000002165211437454737021711 0ustar askhlaskhlimport os import numpy as np ''' input validation module provides functions to validate all input variables to the Jacapo calculator. ''' ###########################################3 ### Validation functions ########################################## def valid_int(x): if (isinstance(x, int) or isinstance(x,np.int32)): return True def valid_float(x): return isinstance(x, float) def valid_int_or_float(x): return ((isinstance(x, int) or isinstance(x,np.int32)) or isinstance(x, float)) def valid_boolean(x): return isinstance(x, bool) def valid_str(x): return isinstance(x, str) def valid_atoms(x): import ase return isinstance(x, ase.Atoms) def valid_pw(x): return (valid_int_or_float(x) and x>0 and x<2000) def valid_dw(x): return (valid_int_or_float(x) and x>0 and x<2000) def valid_xc(x): return (x in ['PW91', 'PBE', 'revPBE', 'RPBE', 'VWN']) def valid_nbands(x): return valid_int(x) def valid_ft(x): return(valid_float, x) def valid_spinpol(x): return valid_boolean(x) def valid_fixmagmom(x): return valid_float(x) def valid_symmetry(x): return valid_boolean(x) def valid_calculate_stress(x): return valid_boolean(x) def valid_kpts(x): if isinstance(x, str): return x in ['cc6_1x1', 'cc12_2x3', 'cc18_sq3xsq3', 'cc18_1x1', 'cc54_sq3xsq3', 'cc54_1x1', 'cc162_sq3xsq3', 'cc162_1x1'] x = np.array(x) #empty arg is no good if x.shape == (): return False #monkhorst-pack elif x.shape == (3,) and ((x.dtype == 'int32') or (x.dtype == 'int64')): return True #user-defined list elif x.shape[1] == 3 and (str(x.dtype))[0:7] == 'float64': return True else: return False def valid_dipole(x): if valid_boolean(x): return True #dictionary passed in. we need to check the keys valid_keys = {'status':valid_boolean, 'mixpar':valid_float, 'initval':valid_float, 'adddipfield':valid_float, 'position':valid_float} for key in x: if key not in valid_keys: return False else: if x[key] is not None: if not valid_keys[key](x[key]): return False return True def valid_nc(x): #todo check for read/write access? return valid_str(x) def valid_status(x): return valid_str(x) def valid_pseudopotentials(x): #todo check that keys are symbols or numbers #todo check that psp files exist return True DACAPOPATH = os.environ.get('DACAPOPATH', None) if DACAPOPATH is None: raise Exception, 'No $DACAPOPATH found. please set it in .cshrc or .bashrc' from ase.data import chemical_symbols for key in x: if valid_str(key): if key not in chemical_symbols: return False elif not (valid_int(key) and key > 0 and key < 112): return False #now check for existence of psp files psp = x[key] if not (os.path.exists(psp) or os.path.exists(os.path.join(DACAPOPATH, psp))): return False return True def valid_extracharge(x): return valid_float(x) def valid_extpot(x): grids = get_fftgrid() if (x.shape == np.array(grids['soft'])).all(): return True else: return False def valid_ascii_debug(x): return (x.strip() in ['Off', 'MediumLevel', 'HighLevel']) def valid_ncoutput(x): if x is None: return valid_keys = ['wf', 'cd', 'efp', 'esp'] for key in x: if key not in valid_keys: return False else: if x[key] not in ['Yes', 'No']: return False return True def valid_ados(x): if x is None: return valid_keys = ['energywindow', 'energywidth', 'npoints', 'cutoff'] for key in x: if key not in valid_keys: print '%s not in %s' % (key, str(valid_keys)) return False if key == 'energywindow': if not len(x['energywindow']) == 2: print '%s is bad' % key return False if key == 'energywidth': if not valid_float(x['energywidth']): print key, ' is bad' return False elif key == 'npoints': if not valid_int(x['npoints']): print key, ' is bad' return False elif key == 'cutoff': if not valid_float(x['cutoff']): print key, ' is bad' return False return True def valid_decoupling(x): if x is None: return valid_keys = ['ngaussians', 'ecutoff', 'gausswidth'] for key in x: if key not in valid_keys: return False elif key == 'ngaussians': if not valid_int(x[key]): print key return False elif key == 'ecutoff': if not valid_int_or_float(x[key]): return False elif key == 'gausswidth': if not valid_float(x[key]): print key, x[key] return False return True def valid_external_dipole(x): if x is None: return if valid_float(x): return True valid_keys = ['value', 'position'] for key in x: if key not in valid_keys: return False if key == 'value': if not valid_float(x['value']): return False elif key == 'position': if not valid_float(x['position']): return False return True def valid_stay_alive(x): return valid_boolean(x) def valid_fftgrid(x): valid_keys = ['soft', 'hard'] for key in x: if key not in valid_keys: return False if x[key] is None: continue grid = np.array(x[key]) if (grid.shape != (3,) and grid.dtype != 'int32'): return False return True def valid_convergence(x): valid_keys = ['energy', 'density', 'occupation', 'maxsteps', 'maxtime'] for key in x: if key not in valid_keys: return False if x[key] is None: continue if key == 'energy': if not valid_float(x[key]): return False elif key == 'density': if not valid_float(x[key]): return False elif key == 'occupation': if not valid_float(x[key]): return False elif key == 'maxsteps': if not valid_int(x[key]): return False elif key == 'maxtime': if not valid_int(x[key]): return False return True def valid_charge_mixing(x): valid_keys = ['method', 'mixinghistory', 'mixingcoeff', 'precondition', 'updatecharge'] for key in x: if key not in valid_keys: return False elif key == 'method': if x[key] not in ['Pulay']: return False elif key == 'mixinghistory': if not valid_int(x[key]): return False elif key == 'mixingcoeff': if not valid_float(x[key]): return False elif key == 'precondition': if x[key] not in ['Yes', 'No']: return False elif key == 'updatecharge': if x[key] not in ['Yes', 'No']: return False return True def valid_electronic_minimization(x): valid_keys = ['method', 'diagsperband'] for key in x: if key not in valid_keys: return False elif key == 'method': if x[key] not in ['resmin', 'eigsolve', 'rmm-diis']: return False elif key == 'diagsperband': if not (valid_int(x[key]) or x[key] is None): return False return True def valid_occupationstatistics(x): return (x in ['FermiDirac', 'MethfesselPaxton']) def valid_mdos(x): return True def valid_psp(x): valid_keys = ['sym','psp'] if x is None: return True for key in x: if key not in valid_keys: return False if not valid_str(x[key]): return False if key == 'sym': from ase.data import chemical_symbols if key not in chemical_symbols: return False if key == 'psp': if os.path.exists(x['psp']): return True if os.path.exists(os.path.join(os.environ['DACAPOPATH'], x['psp'])): return True #psp not found return False python-ase-3.6.0.2515/ase/calculators/jacapo/mayavis.py0000644000175400017540000000354711576407474021574 0ustar askhlaskhl''' mayavi interface to plot atoms, unit cells, and volumetric data ''' import numpy as np from enthought.mayavi import mlab mlab.figure(1, bgcolor=(1,1,1), size=(350, 350)) mlab.clf() def plot_cylinder(start,end,tube_radius=0.1,color=(0,0,0)): mlab.plot3d([start[0],end[0]],[start[1],end[1]],[start[2],end[2]], tube_radius=tube_radius,color=color) def plot_atoms(atoms): for atom in atoms: pos = atom.position mlab.points3d([pos[0]],[pos[1]],[pos[2]], scale_factor=4, resolution=20, color=(1,0,0), #this should get species specifuc scale_mode='none') (u0,u1,u2) = atoms.get_cell() origin = np.array([0.0,0.0,0.0]) plot_cylinder(origin,u0) plot_cylinder(origin,u1) plot_cylinder(origin,u2) plot_cylinder(u0,u0+u1) plot_cylinder(u0,u0+u2) plot_cylinder(u1,u1+u0) plot_cylinder(u1,u1+u2) plot_cylinder(u2,u2+u0) plot_cylinder(u2,u2+u1) plot_cylinder(u0+u1,u0+u1+u2) plot_cylinder(u1+u2,u0+u1+u2) plot_cylinder(u0+u2,u0+u1+u2) mlab.show() if __name__ == '__main__': from ase.lattice.cubic import * from ase.lattice.bravais import cross import numpy as np a = np.array([0.5,0,0]) c = np.array([0,1,0],dtype=np.float) b1 = c - a a = np.array([0,1,0],np.float) c = np.array([0,0.5,0.5]) b2 = c - a a3 = np.array([2,1,1],np.float) a1 = cross(b1,a3) a2 = cross(b2,a3) v211 = FaceCenteredCubic(directions=[a1,a2,a3], miller=(None,None,[2,1,1]), symbol='Pd', size=(1,1,2), debug=0) uc = v211.get_cell() uc[2][2] += 10.0 v211.set_cell(uc) plot_atoms(v211.repeat((2,2,1))) python-ase-3.6.0.2515/ase/calculators/jacapo/changed.py0000644000175400017540000001273211566520446021502 0ustar askhlaskhlimport numpy as np import logging log = logging.getLogger('Jacapo') ''' provides functions to determine if an input parameter has changed. ''' ####################################################################### #### changed functions def kpts_changed(calc, x): ''' check if kpt grid has changed. we have to take care to generate the right k-points from x if needed. if a user provides (4,4,4) we need to generate the MP grid, etc... Since i changed the MP code in set_kpts, there is some incompatibility with old jacapo calculations and their MP grids. ''' #chadi-cohen if isinstance(x, str): exec('from ase.dft.kpoints import %s' % x) listofkpts = eval(x) #monkhorst-pack grid elif np.array(x).shape == (3,): from ase.dft.kpoints import monkhorst_pack N1, N2, N3 = x listofkpts = monkhorst_pack((N1, N2, N3)) #user-defined list is provided elif len(np.array(x).shape) == 2: listofkpts = np.array(x) else: raise Exception, 'apparent invalid setting for kpts' grid = calc.get_kpts() if grid.shape != listofkpts.shape: return True if (abs(listofkpts - grid) < 1e-6).all(): return False else: return True def electronic_minimization_changed(calc, x): myx = calc.get_electronic_minimization() for key in myx: if myx[key] != x[key]: print key, myx[key], ' changed to ', x[key] return True return False def spinpol_changed(calc, x): if x != calc.get_spinpol(): return True else: return False def symmetry_changed(calc, x): if x != calc.get_symmetry(): return True else: return False def xc_changed(calc, x): if x != calc.get_xc(): return True return False def calculate_stress_changed(calc, x): if x != calc.get_calculate_stress(): return True return False def ados_changed(calc, x): ados = calc.get_ados() #ados may not be defined, and then None is returned if ados is None and x is None: return False elif ados is None and x is not None: return True elif ados is not None and x is None: return True #getting here means ados and x are not none so we compare them for key in x: try: if x[key] != ados[key]: return True except ValueError: if (x[key] != ados[key]).all(): return True return False def convergence_changed(calc, x): conv = calc.get_convergence() for key in x: if x[key] != conv[key]: return True return False def charge_mixing_changed(calc, x): cm = calc.get_charge_mixing() if x is None and cm is None: return False else: return True for key in x: if x[key] != cm[key]: return True return False def decoupling_changed(calc, x): pars = calc.get_decoupling() for key in x: if x[key] != pars[key]: return True return False def dipole_changed(calc, x): pars = calc.get_dipole() #pars stored in calculator # pars = False if no dipole variables exist if (pars is False and x is False): return False #no change elif (pars is False and x is not False): return True # both x and pars is a dictionary if (type(pars) == type(dict) and type(pars) == type(x)): for key in x: if key == 'position': # dipole layer position is never writen to the nc file print 'need to do something special' continue if x[key] != pars[key]: return True #nothing seems to have changed. return False def extpot_changed(calc, x): extpot = calc.get_extpot() if (x == extpot).all(): return False return True def fftgrid_changed(calc, x): validkeys = ['soft', 'hard'] myx = calc.get_fftgrid() if (myx['soft'] == x['soft'] and myx['hard'] == x['hard']): return False else: return True def nbands_changed(calc, x): if calc.get_nbands() == x: return False else: return True def occupationstatistics_changed(calc, x): if calc.get_occupationstatistics() == x: return False else: return True def pw_changed(calc, x): if calc.get_pw() == x: return False else: return True def dw_changed(calc, x): if calc.get_dw() == x: return False else: return True def ft_changed(calc, x): if calc.get_ft() == x: return False else: return True def mdos_changed(calc,x): myx = calc.get_mdos() log.debug('myx = %s' % str(myx)) log.debug('x = %s' % str(x)) if x is None and myx is None: return False elif ((x is None and myx is not None) or (x is not None and myx is None)): return True else: for key in x: if x[key] != myx[key]: return True return False def pseudopotentials_changed(calc,x): mypsp = calc.get_pseudopotentials() if len(mypsp) != len(x): return True for key in x: if key not in mypsp: return True if mypsp[key] != x[key]: return True for key in mypsp: if key not in x: return True if mypsp[key] != x[key]: return True return False def status_changed(calc,x): if calc.get_status() != x: return True return False python-ase-3.6.0.2515/ase/calculators/singlepoint.py0000644000175400017540000001055111644525532021202 0ustar askhlaskhlimport numpy as np class SinglePointCalculator: """Special calculator for a single configuration. Used to remember the energy, force and stress for a given configuration. If the positions, atomic numbers, unit cell, or boundary conditions are changed, then asking for energy/forces/stress will raise an exception.""" def __init__(self, energy, forces, stress, magmoms, atoms): """Save energy, forces and stresses for the current configuration.""" self.energy = energy if forces is not None: forces = np.array(forces, float) self.forces = forces if stress is not None: stress = np.array(stress, float) self.stress = stress if magmoms is not None: magmoms = np.array(magmoms, float) self.magmoms = magmoms self.atoms = atoms.copy() def calculation_required(self, atoms, quantities): ok = self.atoms == atoms return ('forces' in quantities and (self.forces is None or not ok) or 'energy' in quantities and (self.energy is None or not ok) or 'stress' in quantities and (self.stress is None or not ok) or 'magmoms' in quantities and (self.magmoms is None or not ok)) def update(self, atoms): if self.atoms != atoms: raise RuntimeError('Energy, forces and stress no longer correct.') def get_potential_energy(self, atoms=None): if atoms is not None: self.update(atoms) if self.energy is None: raise RuntimeError('No energy.') return self.energy def get_forces(self, atoms): self.update(atoms) if self.forces is None: raise RuntimeError('No forces.') return self.forces def get_stress(self, atoms): self.update(atoms) if self.stress is None: raise NotImplementedError return self.stress def get_spin_polarized(self): return self.magmoms is not None and self.magmoms.any() def get_magnetic_moments(self, atoms=None): if atoms is not None: self.update(atoms) if self.magmoms is not None: return self.magmoms else: return np.zeros(len(self.positions)) class SinglePointKPoint: def __init__(self, kpt, spin): self.k = kpt self.s = spin self.eps_n = [] self.f_n = [] class SinglePointDFTCalculator(SinglePointCalculator): def __init__(self, energy, forces, stress, magmoms, atoms, eFermi=None): SinglePointCalculator.__init__(self, energy, forces, stress, magmoms, atoms) if eFermi is not None: self.eFermi = eFermi self.kpts = None def get_fermi_level(self): """Return the Fermi-level(s).""" return self.eFermi def get_bz_k_points(self): """Return the k-points.""" if self.kpts is not None: # we assume that only the gamma point is defined return np.zeros((1, 3)) return None def get_number_of_spins(self): """Return the number of spins in the calculation. Spin-paired calculations: 1, spin-polarized calculation: 2.""" if self.kpts is not None: # we assume that only the gamma point is defined return len(self.kpts) return None def get_spin_polarized(self): """Is it a spin-polarized calculation?""" nos = self.get_number_of_spins() if nos is not None: return nos == 2 return None def get_ibz_k_points(self): """Return k-points in the irreducible part of the Brillouin zone.""" return self.get_bz_k_points() def get_occupation_numbers(self, kpt=0, spin=0): """Return occupation number array.""" # we assume that only the gamma point is defined assert(kpt == 0) if self.kpts is not None: for kpt in self.kpts: if kpt.s == spin: return kpt.f_n return None def get_eigenvalues(self, kpt=0, spin=0): """Return eigenvalue array.""" # we assume that only the gamma point is defined assert(kpt == 0) if self.kpts is not None: for kpt in self.kpts: if kpt.s == spin: return kpt.eps_n return None python-ase-3.6.0.2515/ase/calculators/abinit.py0000644000175400017540000006563411721173107020122 0ustar askhlaskhl"""This module defines an ASE interface to ABINIT. http://www.abinit.org/ """ import os from glob import glob from os.path import join, isfile, islink import numpy as np from ase.data import chemical_symbols from ase.data import atomic_numbers from ase.units import Bohr, Hartree class Abinit: """Class for doing ABINIT calculations. The default parameters are very close to those that the ABINIT Fortran code would use. These are the exceptions:: calc = Abinit(label='abinit', xc='LDA', pulay=5, mix=0.1) Use the set_inp method to set extra INPUT parameters:: calc.set_inp('nstep', 30) """ def __init__(self, label='abinit', xc='LDA', kpts=None, nbands=None, nstep=None, width=0.04*Hartree, ecut=None, charge=0, pulay=5, mix=0.1, pps='fhi', toldfe=1.0e-6 ): """Construct ABINIT-calculator object. Parameters ========== label: str Prefix to use for filenames (label.in, label.txt, ...). Default is 'abinit'. xc: str Exchange-correlation functional. Must be one of LDA, PBE, revPBE, RPBE. kpts: list of three int Monkhost-Pack sampling. nbands: int Number of bands. For the values of occopt not equal to 0 or 2, nbands can be omitted. nstep: int Number of self-consistent field STEPS. width: float Fermi-distribution width in eV. Default is 0.04 Hartree. ecut: float Planewave cutoff energy in eV. No default. charge: float Total charge of the system. Default is 0. pulay: int Number of old densities to use for Pulay mixing. mix: float Mixing parameter between zero and one for density mixing. Examples ======== Use default values: >>> h = Atoms('H', calculator=Abinit()) >>> h.center(vacuum=3.0) >>> e = h.get_potential_energy() """ self.nband = nbands # called nband in abinit self.nstep = nstep if ecut is None: raise ValueError('Planewave cutoff energy in eV (ecut) not set') self.label = label#################### != out self.xc = xc self.kpts = kpts self.width = width self.ecut = ecut self.charge = charge self.pulay = pulay self.mix = mix self.pps = pps self.toldfe = toldfe if not pps in ['fhi', 'hgh', 'hgh.sc', 'hgh.k', 'tm', 'paw']: raise ValueError('Unexpected PP identifier %s' % pps) self.converged = False self.inp = {} self.n_entries_int = 20 # integer entries per line self.n_entries_float = 8 # float entries per line def update(self, atoms): if (not self.converged or len(self.numbers) != len(atoms) or (self.numbers != atoms.get_atomic_numbers()).any()): self.initialize(atoms) self.calculate(atoms) elif ((self.positions != atoms.get_positions()).any() or (self.pbc != atoms.get_pbc()).any() or (self.cell != atoms.get_cell()).any()): self.calculate(atoms) def initialize(self, atoms): self.numbers = atoms.get_atomic_numbers().copy() self.species = [] for a, Z in enumerate(self.numbers): if Z not in self.species: self.species.append(Z) if not hasattr(self, 'spinpol'): self.spinpol = atoms.get_initial_magnetic_moments().any() if 'ABINIT_PP_PATH' in os.environ: pppaths = os.environ['ABINIT_PP_PATH'].split(':') else: pppaths = [] self.ppp_list = [] if self.xc != 'LDA': xcname = 'GGA' else: xcname = 'LDA' for Z in self.species: symbol = chemical_symbols[abs(Z)] number = atomic_numbers[symbol] pps = self.pps if pps == 'fhi': name = '%02d-%s.%s.fhi' % (number, symbol, xcname) elif pps in ['paw']: hghtemplate = '%s-%s-%s.paw' # E.g. "H-GGA-hard-uspp.paw" name = hghtemplate % (symbol, xcname, '*') elif pps in ['hgh.k']: hghtemplate = '%s-q%s.hgh.k' # E.g. "Co-q17.hgh.k" name = hghtemplate % (symbol, '*') elif pps in ['tm']: hghtemplate = '%d%s%s.pspnc' # E.g. "44ru.pspnc" name = hghtemplate % (number, symbol.lower(), '*') elif pps in ['hgh', 'hgh.sc']: hghtemplate = '%d%s.%s.hgh' # E.g. "42mo.6.hgh" # There might be multiple files with different valence # electron counts, so we must choose between # the ordinary and the semicore versions for some elements. # # Therefore we first use glob to get all relevant files, # then pick the correct one afterwards. name = hghtemplate % (number, symbol.lower(), '*') found = False for path in pppaths: if (pps.startswith('paw') or pps.startswith('hgh') or pps.startswith('tm')): filenames = glob(join(path, name)) if not filenames: continue assert len(filenames) in [0, 1, 2] if pps == 'paw': selector = max # Semicore or hard # warning: see download.sh in # abinit-pseudopotentials*tar.gz for additional information! S = selector([str(os.path.split(name)[1].split('-')[2][:-4]) for name in filenames]) name = hghtemplate % (symbol, xcname, S) elif pps == 'hgh': selector = min # Lowest possible valence electron count Z = selector([int(os.path.split(name)[1].split('.')[1]) for name in filenames]) name = hghtemplate % (number, symbol.lower(), str(Z)) elif pps == 'hgh.k': selector = min # Semicore - highest electron count Z = selector([int(os.path.split(name)[1].split('-')[1][:-6][1:]) for name in filenames]) name = hghtemplate % (symbol, Z) elif pps == 'tm': selector = max # Semicore - highest electron count # currently only one version of psp per atom name = hghtemplate % (number, symbol.lower(), '') else: assert pps == 'hgh.sc' selector = max # Semicore - highest electron count Z = selector([int(os.path.split(name)[1].split('.')[1]) for name in filenames]) name = hghtemplate % (number, symbol.lower(), str(Z)) filename = join(path, name) if isfile(filename) or islink(filename): found = True self.ppp_list.append(filename) break if not found: raise RuntimeError('No pseudopotential for %s!' % symbol) self.converged = False def get_potential_energy(self, atoms, force_consistent=False): self.update(atoms) if force_consistent: return self.efree else: # Energy extrapolated to zero Kelvin: return (self.etotal + self.efree) / 2 def get_number_of_iterations(self): return self.niter def read_number_of_iterations(self): niter = None for line in open(self.label + '.txt'): if line.find(' At SCF step') != -1: # find the last iteration number niter = int(line.split(',')[0].split()[-1].strip()) return niter def get_electronic_temperature(self): return self.width def get_number_of_electrons(self): return self.nelect def read_number_of_electrons(self): nelect = None # only in log file! for line in open(self.label + '.log'): # find last one if line.find('nelect') != -1: nelect = float(line.split('=')[1].strip()) return nelect def get_number_of_bands(self): return self.nband def read_number_of_bands(self): nband = None for line in open(self.label + '.txt'): # find last one if line.find(' nband') != -1: # nband, or nband1, nband* nband = int(line.split()[-1].strip()) return nband def get_kpts_info(self, kpt=0, spin=0, mode='eigenvalues'): return self.read_kpts_info(kpt, spin, mode) def get_k_point_weights(self): return self.get_kpts_info(kpt=0, spin=0, mode='k_point_weights') def get_bz_k_points(self): raise NotImplementedError def get_ibz_k_points(self): return self.get_kpts_info(kpt=0, spin=0, mode='ibz_k_points') def get_spin_polarized(self): return self.spinpol def get_number_of_spins(self): return 1 + int(self.spinpol) def get_magnetic_moment(self, atoms): self.update(atoms) return self.magnetic_moment def read_magnetic_moment(self): magmom = None if not self.get_spin_polarized(): magmom = 0.0 else: # only for spinpolarized system Magnetisation is printed for line in open(self.label + '.txt'): if line.find('Magnetisation') != -1: # last one magmom = float(line.split('=')[-1].strip()) return magmom def get_magnetic_moments(self, atoms): # local magnetic moments are not available in abinit # so set the total magnetic moment on the atom no. 0 and fill with 0.0 self.update(atoms) magmoms = [0.0 for a in range(len(atoms))] magmoms[0] = self.get_magnetic_moment(atoms) return np.array(magmoms) def get_fermi_level(self): return self.read_fermi() def get_eigenvalues(self, kpt=0, spin=0): return self.get_kpts_info(kpt, spin, 'eigenvalues') def get_occupations(self, kpt=0, spin=0): return self.get_kpts_info(kpt, spin, 'occupations') def get_forces(self, atoms): self.update(atoms) return self.forces.copy() def get_stress(self, atoms): self.update(atoms) return self.stress.copy() def calculate(self, atoms): self.positions = atoms.get_positions().copy() self.cell = atoms.get_cell().copy() self.pbc = atoms.get_pbc().copy() self.write_files() self.write_inp(atoms) # Now, because (stupidly) abinit when it finds a name it uses nameA # and when nameA exists it uses nameB, etc. # we need to rename our *.txt file to *.txt.bak filename = self.label + '.txt' if islink(filename) or isfile(filename): os.rename(filename, filename+'.bak') if 'ABINIT_SCRIPT' in os.environ: abinit = os.environ['ABINIT_SCRIPT'] locals = {'label': self.label} execfile(abinit, {}, locals) exitcode = locals['exitcode'] else: exitcode = os.system('abinis < %s.files > %s.log' % (self.label, self.label)) if exitcode != 0: raise RuntimeError(('Abinit exited with exit code: %d. ' + 'Check %s.log for more information.') % (exitcode, self.label)) self.read() self.converged = True def write_files(self): """Write input parameters to files-file.""" fh = open(self.label + '.files', 'w') import getpass #find a suitable default scratchdir (should be writeable!) username=getpass.getuser() if os.access("/scratch/"+username,os.W_OK): scratch = "/scratch/"+username elif os.access("/scratch/",os.W_OK): scratch = "/scratch/" else: if os.access(os.curdir,os.W_OK): scratch = os.curdir #if no /scratch use curdir else: raise IOError,"No suitable scratch directory and no write access to current dir" fh.write('%s\n' % (self.label+'.in')) # input fh.write('%s\n' % (self.label+'.txt')) # output fh.write('%s\n' % (self.label+'i')) # input fh.write('%s\n' % (self.label+'o')) # output # scratch files scratchdir = os.path.dirname(os.path.join(scratch, self.label)) if not os.path.exists(scratchdir): os.makedirs(scratchdir) fh.write('%s\n' % (os.path.join(scratch, self.label+'.abinit'))) # Provide the psp files for ppp in self.ppp_list: fh.write('%s\n' % (ppp)) # psp file path fh.close() def set_inp(self, key, value): """Set INPUT parameter.""" self.inp[key] = value def write_inp(self, atoms): """Write input parameters to in-file.""" fh = open(self.label + '.in', 'w') inp = { #'SystemLabel': self.label, #'LatticeConstant': 1.0, 'natom': len(atoms), 'charge': self.charge, #'DM.UseSaveDM': self.converged, #'SolutionMethod': 'diagon', 'npulayit': self.pulay, # default 7 'diemix': self.mix } if not self.nband is None: inp.update({'nband': self.nband}) if not self.nstep is None: inp.update({'nstep': self.nstep}) if self.ecut is not None: inp['ecut'] = str(self.ecut)+' eV' # default Ha if self.width is not None: inp['tsmear'] = str(self.width)+' eV' # default Ha fh.write('occopt 3 # Fermi-Dirac smearing\n') inp['ixc'] = { # default 1 'LDA': 7, 'PBE': 11, 'revPBE': 14, 'RPBE': 15, 'WC': 23 }[self.xc] magmoms = atoms.get_initial_magnetic_moments() if magmoms.any(): inp['nsppol'] = 2 fh.write('spinat\n') for n, M in enumerate(magmoms): fh.write('%.14f %.14f %.14f\n' % (0, 0, M)) else: inp['nsppol'] = 1 inp.update(self.inp) for key, value in inp.items(): if value is None: continue if isinstance(value, list): fh.write('%block %s\n' % key) for line in value: fh.write(' '.join(['%s' % x for x in line]) + '\n') fh.write('%endblock %s\n' % key) unit = keys_with_units.get(inpify(key)) if unit is None: fh.write('%s %s\n' % (key, value)) else: if 'fs**2' in unit: value /= fs**2 elif 'fs' in unit: value /= fs fh.write('%s %f %s\n' % (key, value, unit)) fh.write('#Definition of the unit cell\n') fh.write('acell\n') fh.write('%.14f %.14f %.14f Angstrom\n' % (1.0, 1.0, 1.0)) fh.write('rprim\n') for v in self.cell: fh.write('%.14f %.14f %.14f\n' % tuple(v)) fh.write('chkprim 0 # Allow non-primitive cells\n') fh.write('#Definition of the atom types\n') fh.write('ntypat %d\n' % (len(self.species))) fh.write('znucl') for n, Z in enumerate(self.species): fh.write(' %d' % (Z)) fh.write('\n') fh.write('#Enumerate different atomic species\n') fh.write('typat') fh.write('\n') self.types = [] for Z in self.numbers: for n, Zs in enumerate(self.species): if Z == Zs: self.types.append(n+1) for n, type in enumerate(self.types): fh.write(' %d' % (type)) if n > 1 and ((n % self.n_entries_int) == 1): fh.write('\n') fh.write('\n') fh.write('#Definition of the atoms\n') fh.write('xangst\n') a = 0 for pos, Z in zip(self.positions, self.numbers): a += 1 fh.write('%.14f %.14f %.14f\n' % tuple(pos)) if self.kpts is not None: fh.write('kptopt 1\n') fh.write('ngkpt %d %d %d\n' % tuple(self.kpts)) fh.write('nshiftk 1\n') fh.write('shiftk\n') fh.write('%.1f %.1f %.1f\n' % tuple((np.array(self.kpts) + 1) % 2 * 0.5)) fh.write('#Definition of the SCF procedure\n') fh.write('toldfe %.1g\n' % self.toldfe) fh.write('chkexit 1 # abinit.exit file in the running directory terminates after the current SCF\n') fh.close() def read_fermi(self): """Method that reads Fermi energy in Hartree from the output file and returns it in eV""" E_f=None filename = self.label + '.txt' text = open(filename).read().lower() assert 'error' not in text for line in iter(text.split('\n')): if line.rfind('fermi (or homo) energy (hartree) =') > -1: E_f = float(line.split('=')[1].strip().split()[0]) return E_f*Hartree def read_kpts_info(self, kpt=0, spin=0, mode='eigenvalues'): """ Returns list of last eigenvalues, occupations, kpts weights, or kpts coordinates for given kpt and spin. Due to the way of reading output the spins are exchanged in spin-polarized case. """ # output may look like this (or without occupation entries); 8 entries per line: # # Eigenvalues (hartree) for nkpt= 20 k points: # kpt# 1, nband= 3, wtk= 0.01563, kpt= 0.0625 0.0625 0.0625 (reduced coord) # -0.09911 0.15393 0.15393 # occupation numbers for kpt# 1 # 2.00000 0.00000 0.00000 # kpt# 2, nband= 3, wtk= 0.04688, kpt= 0.1875 0.0625 0.0625 (reduced coord) # ... # assert mode in ['eigenvalues' , 'occupations', 'ibz_k_points', 'k_point_weights'], 'mode not in [\'eigenvalues\' , \'occupations\', \'ibz_k_points\', \'k_point_weights\']' if self.get_spin_polarized(): spin = {0: 1, 1: 0}[spin] if spin == 0: spinname = '' else: spinname = 'SPIN UP'.lower() # number of lines of eigenvalues/occupations for a kpt nband = self.get_number_of_bands() n_entry_lines = max(1, int((nband - 0.1)/self.n_entries_float) + 1) # filename = self.label + '.txt' text = open(filename).read().lower() assert 'error' not in text lines = text.split('\n') text_list = [] # find the begining line of last eigenvalues contains_eigenvalues = 0 for n, line in enumerate(lines): if spin == 0: if line.rfind('eigenvalues (hartree) for nkpt') > -1: #if line.rfind('eigenvalues ( ev ) for nkpt') > -1: #MDTMP contains_eigenvalues = n else: if (line.rfind('eigenvalues (hartree) for nkpt') > -1 and line.rfind(spinname) > -1): # find the last 'SPIN UP' contains_eigenvalues = n # find the end line of eigenvalues starting from contains_eigenvalues text_list = [lines[contains_eigenvalues]] for line in lines[contains_eigenvalues + 1:]: text_list.append(line) # find a blank line or eigenvalues of second spin if (not line.strip() or line.rfind('eigenvalues (hartree) for nkpt') > -1): break # remove last (blank) line text_list = text_list[:-1] assert contains_eigenvalues, 'No eigenvalues found in the output' n_kpts = int(text_list[0].split('nkpt=')[1].strip().split()[0]) # get rid of the "eigenvalues line" text_list = text_list[1:] # join text eigenvalues description with eigenvalues # or occupation numbers for kpt# with occupations contains_occupations = False for line in text_list: if line.rfind('occupation numbers') > -1: contains_occupations = True break if mode == 'occupations': assert contains_occupations, 'No occupations found in the output' if contains_occupations: range_kpts = 2*n_kpts else: range_kpts = n_kpts # values_list = [] offset = 0 for kpt_entry in range(range_kpts): full_line = '' for entry_line in range(n_entry_lines+1): full_line = full_line+str(text_list[offset+entry_line]) first_line = text_list[offset] if mode == 'occupations': if first_line.rfind('occupation numbers') > -1: # extract numbers full_line = [float(v) for v in full_line.split('#')[1].strip().split()[1:]] values_list.append(full_line) elif mode in ['eigenvalues', 'ibz_k_points', 'k_point_weights']: if first_line.rfind('reduced coord') > -1: # extract numbers if mode == 'eigenvalues': full_line = [Hartree*float(v) for v in full_line.split(')')[1].strip().split()[:]] #full_line = [float(v) for v in full_line.split(')')[1].strip().split()[:]] #MDTMP elif mode == 'ibz_k_points': full_line = [float(v) for v in full_line.split('kpt=')[1].strip().split('(')[0].split()] else: full_line = float(full_line.split('wtk=')[1].strip().split(',')[0].split()[0]) values_list.append(full_line) offset = offset+n_entry_lines+1 # if mode in ['occupations', 'eigenvalues']: return np.array(values_list[kpt]) else: return np.array(values_list) def read(self): """Read results from ABINIT's text-output file.""" filename = self.label + '.txt' text = open(filename).read().lower() assert 'error' not in text assert 'was not enough scf cycles to converge' not in text # some consistency ckecks for line in iter(text.split('\n')): if line.rfind('natom ') > -1: natom = int(line.split()[-1]) assert natom == len(self.numbers) for line in iter(text.split('\n')): if line.rfind('znucl ') > -1: znucl = [float(Z) for Z in line.split()[1:]] for n, Z in enumerate(self.species): assert Z == znucl[n] lines = text.split('\n') for n, line in enumerate(lines): if line.rfind(' typat ') > -1: nlines = len(self.numbers) / self.n_entries_int typat = [int(t) for t in line.split()[1:]] # first line for nline in range(nlines): # remaining lines for t in lines[1 + n + nline].split()[:]: typat.append(int(t)) for n, t in enumerate(self.types): assert t == typat[n] lines = iter(text.split('\n')) # Stress: # Printed in the output in the following format [Hartree/Bohr^3]: # sigma(1 1)= 4.02063464E-04 sigma(3 2)= 0.00000000E+00 # sigma(2 2)= 4.02063464E-04 sigma(3 1)= 0.00000000E+00 # sigma(3 3)= 4.02063464E-04 sigma(2 1)= 0.00000000E+00 for line in lines: if line.rfind('cartesian components of stress tensor (hartree/bohr^3)') > -1: self.stress = np.empty((3, 3)) for i in range(3): entries = lines.next().split() self.stress[i,i] = float(entries[2]) self.stress[min(3, 4-i)-1, max(1, 2-i)-1] = float(entries[5]) self.stress[max(1, 2-i)-1, min(3, 4-i)-1] = float(entries[5]) self.stress = self.stress*Hartree/Bohr**3 break else: raise RuntimeError # Energy [Hartree]: # Warning: Etotal could mean both electronic energy and free energy! for line in iter(text.split('\n')): if line.rfind('>>>>> internal e=') > -1: self.etotal = float(line.split('=')[-1])*Hartree for line1 in iter(text.split('\n')): if line1.rfind('>>>>>>>>> etotal=') > -1: self.efree = float(line1.split('=')[-1])*Hartree break else: raise RuntimeError break else: for line2 in iter(text.split('\n')): if line2.rfind('>>>>>>>>> etotal=') > -1: self.etotal = float(line2.split('=')[-1])*Hartree self.efree = self.etotal break else: raise RuntimeError # Forces: for line in lines: if line.rfind('cartesian forces (ev/angstrom) at end:') > -1: forces = [] for i in range(len(self.numbers)): forces.append(np.array([float(f) for f in lines.next().split()[1:]])) self.forces = np.array(forces) break else: raise RuntimeError # self.nband = self.read_number_of_bands() self.niter = self.read_number_of_iterations() self.nelect = self.read_number_of_electrons() self.magnetic_moment = self.read_magnetic_moment() def inpify(key): return key.lower().replace('_', '').replace('.', '').replace('-', '') keys_with_units = { } #keys_with_units = { # 'paoenergyshift': 'eV', # 'zmunitslength': 'Bohr', # 'zmunitsangle': 'rad', # 'zmforcetollength': 'eV/Ang', # 'zmforcetolangle': 'eV/rad', # 'zmmaxdispllength': 'Ang', # 'zmmaxdisplangle': 'rad', # 'ecut': 'eV', # 'dmenergytolerance': 'eV', # 'electronictemperature': 'eV', # 'oneta': 'eV', # 'onetaalpha': 'eV', # 'onetabeta': 'eV', # 'onrclwf': 'Ang', # 'onchemicalpotentialrc': 'Ang', # 'onchemicalpotentialtemperature': 'eV', # 'mdmaxcgdispl': 'Ang', # 'mdmaxforcetol': 'eV/Ang', # 'mdmaxstresstol': 'eV/Ang**3', # 'mdlengthtimestep': 'fs', # 'mdinitialtemperature': 'eV', # 'mdtargettemperature': 'eV', # 'mdtargetpressure': 'eV/Ang**3', # 'mdnosemass': 'eV*fs**2', # 'mdparrinellorahmanmass': 'eV*fs**2', # 'mdtaurelax': 'fs', # 'mdbulkmodulus': 'eV/Ang**3', # 'mdfcdispl': 'Ang', # 'warningminimumatomicdistance': 'Ang', # 'rcspatial': 'Ang', # 'kgridcutoff': 'Ang', # 'latticeconstant': 'Ang'} # shortcut function names Abinit.get_occupation_numbers = Abinit.get_occupations python-ase-3.6.0.2515/ase/calculators/lammps.py0000644000175400017540000007463711656502075020157 0ustar askhlaskhl#!/usr/bin/env python # lammps.py (2011/03/29) # An ASE calculator for the LAMMPS classical MD code available from # http://lammps.sandia.gov/ # The environment variable LAMMPS_COMMAND must be defined to point to the LAMMPS binary. # # Copyright (C) 2009 - 2011 Joerg Meyer, joerg.meyer@ch.tum.de # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation; either # version 2.1 of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this file; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # or see . import os import shutil import shlex import time from subprocess import Popen, PIPE from threading import Thread from re import compile as re_compile, IGNORECASE from tempfile import mkdtemp, NamedTemporaryFile, mktemp as uns_mktemp import numpy as np import decimal as dec from ase import Atoms from ase.parallel import paropen from ase.units import GPa __all__ = ['LAMMPS', 'write_lammps_data'] # "End mark" used to indicate that the calculation is done CALCULATION_END_MARK = '__end_of_ase_invoked_calculation__' class LAMMPS: def __init__(self, label='lammps', tmp_dir=None, parameters={}, specorder=None, files=[], always_triclinic=False, keep_alive=True, keep_tmp_files=False, no_data_file=False): """The LAMMPS calculators object files: list Short explanation XXX parameters: dict Short explanation XXX specorder: list Short explanation XXX keep_tmp_files: bool Retain any temporary files created. Mostly useful for debugging. tmp_dir: str path/dirname (default None -> create automatically). Explicitly control where the calculator object should create its files. Using this option implies 'keep_tmp_files' no_data_file: bool Controls whether an explicit data file will be used for feeding atom coordinates into lammps. Enable it to lessen the pressure on the (tmp) file system. THIS OPTION MIGHT BE UNRELIABLE FOR CERTIAN CORNER CASES (however, if it fails, you will notice...). keep_alive: bool When using LAMMPS as a spawned subprocess, keep the subprocess alive (but idling whn unused) along with the calculator object. always_triclinic: bool Force use of a triclinic cell in LAMMPS, even if the cell is a perfect parallelepiped. """ self.label = label self.parameters = parameters self.specorder = specorder self.files = files self.always_triclinic = always_triclinic self.calls = 0 self.forces = None self.keep_alive = keep_alive self.keep_tmp_files = keep_tmp_files self.no_data_file = no_data_file if tmp_dir is not None: # If tmp_dir is pointing somewhere, don't remove stuff! self.keep_tmp_files = True self._lmp_handle = None # To handle the lmp process # read_log depends on that the first (three) thermo_style custom args # can be capitilized and matched aginst the log output. I.e. # don't use e.g. 'ke' or 'cpu' which are labeled KinEng and CPU. self._custom_thermo_args = ['step', 'temp', 'press', 'cpu', 'pxx', 'pyy', 'pzz', 'pxy', 'pxz', 'pyz', 'ke', 'pe', 'etotal', 'vol', 'lx', 'ly', 'lz', 'atoms'] self._custom_thermo_mark = ' '.join([x.capitalize() for x in self._custom_thermo_args[0:3]]) # Match something which can be converted to a float f_re = r'([+-]?(?:(?:\d+(?:\.\d*)?|\.\d+)(?:e[+-]?\d+)?|nan|inf))' n = len(self._custom_thermo_args) # Create a re matching exactly N white space separated floatish things self._custom_thermo_re = re_compile(r'^\s*' + r'\s+'.join([f_re]*n) + r'\s*$', flags=IGNORECASE) # thermo_content contains data "writen by" thermo_style. # It is a list of dictionaries, each dict (one for each line # printed by thermo_style) contains a mapping between each # custom_thermo_args-argument and the corresponding # value as printed by lammps. thermo_content will be # re-populated by the read_log method. self.thermo_content = [] if tmp_dir is None: self.tmp_dir = mkdtemp(prefix='LAMMPS-') else: self.tmp_dir=os.path.realpath(tmp_dir) if not os.path.isdir(self.tmp_dir): os.mkdir(self.tmp_dir, 0755) for f in files: shutil.copy(f, os.path.join(self.tmp_dir, f)) def clean(self, force=False): self._lmp_end() if not self.keep_tmp_files: shutil.rmtree(self.tmp_dir) def get_potential_energy(self, atoms): self.update(atoms) return self.thermo_content[-1]['pe'] def get_forces(self, atoms): self.update(atoms) return self.forces.copy() def get_stress(self, atoms): self.update(atoms) tc = self.thermo_content[-1] # 1 bar (used by lammps for metal units) = 1e-4 GPa return np.array([tc[i] for i in ('pxx','pyy','pzz', 'pyz','pxz','pxy')])*(-1e-4*GPa) def update(self, atoms): if not hasattr(self,'atoms') or self.atoms != atoms: self.calculate(atoms) def calculate(self, atoms): self.atoms = atoms.copy() pbc = self.atoms.get_pbc() if all(pbc): cell = self.atoms.get_cell() elif not any(pbc): # large enough cell for non-periodic calculation - # LAMMPS shrink-wraps automatically via input command # "periodic s s s" # below cell = 2 * np.max(np.abs(self.atoms.get_positions())) * np.eye(3) else: print "WARNING: semi-periodic ASE cell detected -" print " translation to proper LAMMPS input cell might fail" cell = self.atoms.get_cell() self.prism = prism(cell) self.run() def _lmp_alive(self): # Return True if this calculator is currently handling a running lammps process return self._lmp_handle and not isinstance(self._lmp_handle.poll(), int) def _lmp_end(self): # Close lammps input and wait for lammps to end. Return process return value if self._lmp_alive(): self._lmp_handle.stdin.close() return self._lmp_handle.wait() def run(self): """Method which explicitely runs LAMMPS.""" self.calls += 1 # set LAMMPS command from environment variable if 'LAMMPS_COMMAND' in os.environ: lammps_cmd_line = shlex.split(os.environ['LAMMPS_COMMAND']) if len(lammps_cmd_line) == 0: self.clean() raise RuntimeError('The LAMMPS_COMMAND environment variable ' 'must not be empty') # want always an absolute path to LAMMPS binary when calling from self.dir lammps_cmd_line[0] = os.path.abspath(lammps_cmd_line[0]) else: self.clean() raise RuntimeError('Please set LAMMPS_COMMAND environment variable') if 'LAMMPS_OPTIONS' in os.environ: lammps_options = shlex.split(os.environ['LAMMPS_OPTIONS']) else: lammps_options = shlex.split('-echo log -screen none') # change into subdirectory for LAMMPS calculations cwd = os.getcwd() os.chdir(self.tmp_dir) # setup file names for LAMMPS calculation label = '%s%06d' % (self.label, self.calls) lammps_in = uns_mktemp(prefix='in_'+label, dir=self.tmp_dir) lammps_log = uns_mktemp(prefix='log_'+label, dir=self.tmp_dir) lammps_trj_fd = NamedTemporaryFile(prefix='trj_'+label, dir=self.tmp_dir, delete=(not self.keep_tmp_files)) lammps_trj = lammps_trj_fd.name if self.no_data_file: lammps_data = None else: lammps_data_fd = NamedTemporaryFile(prefix='data_'+label, dir=self.tmp_dir, delete=(not self.keep_tmp_files)) self.write_lammps_data(lammps_data=lammps_data_fd) lammps_data = lammps_data_fd.name lammps_data_fd.flush() # see to it that LAMMPS is started if not self._lmp_alive(): # Attempt to (re)start lammps self._lmp_handle = Popen(lammps_cmd_line+lammps_options+['-log', '/dev/stdout'], stdin=PIPE, stdout=PIPE) lmp_handle = self._lmp_handle # Create thread reading lammps stdout (for reference, if requested, # also create lammps_log, although it is never used) if self.keep_tmp_files: lammps_log_fd = open(lammps_log, 'w') fd = special_tee(lmp_handle.stdout, lammps_log_fd) else: fd = lmp_handle.stdout thr_read_log = Thread(target=self.read_lammps_log, args=(fd,)) thr_read_log.start() # write LAMMPS input (for reference, also create the file lammps_in, # although it is never used) if self.keep_tmp_files: lammps_in_fd = open(lammps_in, 'w') fd = special_tee(lmp_handle.stdin, lammps_in_fd) else: fd = lmp_handle.stdin self.write_lammps_in(lammps_in=fd, lammps_trj=lammps_trj, lammps_data=lammps_data) if self.keep_tmp_files: lammps_in_fd.close() # Wait for log output to be read (i.e., for LAMMPS to finish) # and close the log file if there is one thr_read_log.join() if self.keep_tmp_files: lammps_log_fd.close() if not self.keep_alive: self._lmp_end() exitcode = lmp_handle.poll() if exitcode and exitcode != 0: cwd = os.getcwd() raise RuntimeError('LAMMPS exited in %s with exit code: %d.' %\ (cwd,exitcode)) # A few sanity checks if len(self.thermo_content) == 0: raise RuntimeError('Failed to retreive any thermo_style-output') if int(self.thermo_content[-1]['atoms']) != len(self.atoms): # This obviously shouldn't happen, but if prism.fold_...() fails, it could raise RuntimeError('Atoms have gone missing') self.read_lammps_trj(lammps_trj=lammps_trj) lammps_trj_fd.close() if not self.no_data_file: lammps_data_fd.close() os.chdir(cwd) def write_lammps_data(self, lammps_data=None): """Method which writes a LAMMPS data file with atomic structure.""" if (lammps_data == None): lammps_data = 'data.' + self.label write_lammps_data(lammps_data, self.atoms, self.specorder, force_skew=self.always_triclinic, prismobj=self.prism) def write_lammps_in(self, lammps_in=None, lammps_trj=None, lammps_data=None): """Method which writes a LAMMPS in file with run parameters and settings.""" if isinstance(lammps_in, str): f = paropen(lammps_in, 'w') close_in_file = True else: # Expect lammps_in to be a file-like object f = lammps_in close_in_file = False if self.keep_tmp_files: f.write('# (written by ASE)\n') # Write variables f.write('clear\n' + ('variable dump_file string "%s"\n' % lammps_trj) + ('variable data_file string "%s"\n' % lammps_data)) parameters = self.parameters pbc = self.atoms.get_pbc() f.write('units metal \n') if ('boundary' in parameters): f.write('boundary %s \n' % parameters['boundary']) else: f.write('boundary %c %c %c \n' % tuple('sp'[x] for x in pbc)) f.write('atom_modify sort 0 0.0 \n') for key in ('neighbor' ,'newton'): if key in parameters: f.write('%s %s \n' % (key, parameters[key])) f.write('\n') # If self.no_lammps_data, # write the simulation box and the atoms if self.no_data_file: if self.keep_tmp_files: f.write('## Original ase cell\n') f.write(''.join(['# %.16f %.16f %.16f\n' % tuple(x) for x in self.atoms.get_cell()])) p = self.prism f.write('lattice sc 1.0\n') xhi, yhi, zhi, xy, xz, yz = p.get_lammps_prism_str() if self.always_triclinic or p.is_skewed(): f.write('region asecell prism 0.0 %s 0.0 %s 0.0 %s ' % \ (xhi, yhi, zhi)) f.write('%s %s %s side in units box\n' % \ (xy, xz, yz)) else: f.write(('region asecell block 0.0 %s 0.0 %s 0.0 %s ' 'side in units box\n') % (xhi, yhi, zhi)) symbols = self.atoms.get_chemical_symbols() if self.specorder is None: # By default, atom types in alphabetic order species = sorted(list(set(symbols))) else: # By request, specific atom type ordering species = self.specorder n_atom_types = len(species) species_i = dict([(s,i+1) for i,s in enumerate(species)]) f.write('create_box %i asecell\n' % n_atom_types) for s, pos in zip(symbols, self.atoms.get_positions()): if self.keep_tmp_files: f.write('# atom pos in ase cell: %.16f %.16f %.16f\n' % tuple(pos)) f.write('create_atoms %i single %s %s %s units box\n' % \ ((species_i[s],)+p.pos_to_lammps_fold_str(pos))) # if NOT self.no_lammps_data, then simply refer to the data-file else: f.write('read_data %s\n' % lammps_data) # Write interaction stuff f.write('\n### interactions \n') if ( ('pair_style' in parameters) and ('pair_coeff' in parameters) ): pair_style = parameters['pair_style'] f.write('pair_style %s \n' % pair_style) for pair_coeff in parameters['pair_coeff']: f.write('pair_coeff %s \n' % pair_coeff) if 'mass' in parameters: for mass in parameters['mass']: f.write('mass %s \n' % mass) else: # simple default parameters # that should always make the LAMMPS calculation run f.write('pair_style lj/cut 2.5 \n' + 'pair_coeff * * 1 1 \n' + 'mass * 1.0 \n') f.write('\n### run\n' + 'fix fix_nve all nve\n' + ('dump dump_all all custom 1 %s id type x y z vx vy vz fx fy fz\n' % lammps_trj) ) f.write(('thermo_style custom %s\n' + 'thermo_modify flush yes\n' + 'thermo 1\n') % (' '.join(self._custom_thermo_args))) if 'minimize' in parameters: f.write('minimize %s\n' % parameters['minimize']) if 'run' in parameters: f.write('run %s\n' % parameters['run']) if not (('minimize' in parameters) or ('run' in parameters)): f.write('run 0\n') f.write('print "%s"\n' % CALCULATION_END_MARK) f.write('log /dev/stdout\n') # Force LAMMPS to flush log if close_in_file: f.close() def read_lammps_log(self, lammps_log=None, PotEng_first=False): """Method which reads a LAMMPS output log file.""" if (lammps_log == None): lammps_log = self.label + '.log' if isinstance(lammps_log, str): f = paropen(lammps_log, 'w') close_log_file = True else: # Expect lammps_in to be a file-like object f = lammps_log close_log_file = False thermo_content = [] line = f.readline() while line and line.strip() != CALCULATION_END_MARK: # get thermo output if line.startswith(self._custom_thermo_mark): m = True while m: line = f.readline() m = self._custom_thermo_re.match(line) if m: # create a dictionary between each of the thermo_style args # and it's corresponding value thermo_content.append(dict(zip(self._custom_thermo_args, map(float, m.groups())))) else: line = f.readline() if close_log_file: f.close() self.thermo_content = thermo_content def read_lammps_trj(self, lammps_trj=None, set_atoms=False): """Method which reads a LAMMPS dump file.""" if (lammps_trj == None): lammps_trj = self.label + '.lammpstrj' f = paropen(lammps_trj, 'r') while True: line = f.readline() if not line: break #TODO: extend to proper dealing with multiple steps in one trajectory file if 'ITEM: TIMESTEP' in line: n_atoms = 0 lo = [] ; hi = [] ; tilt = [] id = [] ; type = [] positions = [] ; velocities = [] ; forces = [] if 'ITEM: NUMBER OF ATOMS' in line: line = f.readline() n_atoms = int(line.split()[0]) if 'ITEM: BOX BOUNDS' in line: # save labels behind "ITEM: BOX BOUNDS" in triclinic case (>=lammps-7Jul09) tilt_items = line.split()[3:] for i in range(3): line = f.readline() fields = line.split() lo.append(float(fields[0])) hi.append(float(fields[1])) if (len(fields) >= 3): tilt.append(float(fields[2])) if 'ITEM: ATOMS' in line: # (reliably) identify values by labels behind "ITEM: ATOMS" - requires >=lammps-7Jul09 # create corresponding index dictionary before iterating over atoms to (hopefully) speed up lookups... atom_attributes = {} for (i, x) in enumerate(line.split()[2:]): atom_attributes[x] = i for n in range(n_atoms): line = f.readline() fields = line.split() id.append( int(fields[atom_attributes['id']]) ) type.append( int(fields[atom_attributes['type']]) ) positions.append( [ float(fields[atom_attributes[x]]) for x in ['x', 'y', 'z'] ] ) velocities.append( [ float(fields[atom_attributes[x]]) for x in ['vx', 'vy', 'vz'] ] ) forces.append( [ float(fields[atom_attributes[x]]) for x in ['fx', 'fy', 'fz'] ] ) f.close() # determine cell tilt (triclinic case!) if (len(tilt) >= 3): # for >=lammps-7Jul09 use labels behind "ITEM: BOX BOUNDS" to assign tilt (vector) elements ... if (len(tilt_items) >= 3): xy = tilt[tilt_items.index('xy')] xz = tilt[tilt_items.index('xz')] yz = tilt[tilt_items.index('yz')] # ... otherwise assume default order in 3rd column (if the latter was present) else: xy = tilt[0] xz = tilt[1] yz = tilt[2] else: xy = xz = yz = 0 xhilo = (hi[0] - lo[0]) - xy - xz yhilo = (hi[1] - lo[1]) - yz zhilo = (hi[2] - lo[2]) # The simulation box bounds are included in each snapshot and if the box is triclinic (non-orthogonal), # then the tilt factors are also printed; see the region prism command for a description of tilt factors. # For triclinic boxes the box bounds themselves (first 2 quantities on each line) are a true "bounding box" # around the simulation domain, which means they include the effect of any tilt. # [ http://lammps.sandia.gov/doc/dump.html , lammps-7Jul09 ] # # This *should* extract the lattice vectors that LAMMPS uses from the true "bounding box" printed in the dump file # It might fail in some cases (negative tilts?!) due to the MIN / MAX construction of these box corners: # # void Domain::set_global_box() # [...] # if (triclinic) { # [...] # boxlo_bound[0] = MIN(boxlo[0],boxlo[0]+xy); # boxlo_bound[0] = MIN(boxlo_bound[0],boxlo_bound[0]+xz); # boxlo_bound[1] = MIN(boxlo[1],boxlo[1]+yz); # boxlo_bound[2] = boxlo[2]; # # boxhi_bound[0] = MAX(boxhi[0],boxhi[0]+xy); # boxhi_bound[0] = MAX(boxhi_bound[0],boxhi_bound[0]+xz); # boxhi_bound[1] = MAX(boxhi[1],boxhi[1]+yz); # boxhi_bound[2] = boxhi[2]; # } # [ lammps-7Jul09/src/domain.cpp ] # cell = [[xhilo,0,0],[xy,yhilo,0],[xz,yz,zhilo]] # assume that LAMMPS does not reorder atoms internally cell_atoms = np.array(cell) type_atoms = np.array(type) if self.atoms: cell_atoms = self.atoms.get_cell() # BEWARE: reconstructing the rotation from the LAMMPS output trajectory file # fails in case of shrink wrapping for a non-periodic direction # -> hence rather obtain rotation from prism object used to generate the LAMMPS input #rotation_lammps2ase = np.dot(np.linalg.inv(np.array(cell)), cell_atoms) rotation_lammps2ase = np.linalg.inv(self.prism.R) type_atoms = self.atoms.get_atomic_numbers() positions_atoms = np.array( [np.dot(np.array(r), rotation_lammps2ase) for r in positions] ) velocities_atoms = np.array( [np.dot(np.array(v), rotation_lammps2ase) for v in velocities] ) forces_atoms = np.array( [np.dot(np.array(f), rotation_lammps2ase) for f in forces] ) if (set_atoms): # assume periodic boundary conditions here (like also below in write_lammps) self.atoms = Atoms(type_atoms, positions=positions_atoms, cell=cell_atoms) self.forces = forces_atoms class special_tee: """A special purpose, with limited applicability, tee-like thing. A subset of stuff read from, or written to, orig_fd, is also written to out_fd. It is used by the lammps calculator for creating file-logs of stuff read from, or written to, stdin and stdout, respectively. """ def __init__(self, orig_fd, out_fd): self._orig_fd = orig_fd self._out_fd = out_fd self.name = orig_fd.name def write(self, data): self._orig_fd.write(data) self._out_fd.write(data) def read(self, *args, **kwargs): data = self._orig_fd.read(*args, **kwargs) self._out_fd.write(data) return data def readline(self, *args, **kwargs): data = self._orig_fd.readline(*args, **kwargs) self._out_fd.write(data) return data def readlines(self, *args, **kwargs): data = self._orig_fd.readlines(*args, **kwargs) self._out_fd.write(''.join(data)) return data def flush(self): self._orig_fd.flush() self._out_fd.flush() class prism: def __init__(self, cell, pbc=(True,True,True), digits=10): """Create a lammps-style triclinic prism object from a cell The main purpose of the prism-object is to create suitable string representations of prism limits and atom positions within the prism. When creating the object, the digits parameter (default set to 10) specify the precission to use. lammps is picky about stuff being within semi-open intervals, e.g. for atom positions (when using create_atom in the in-file), x must be within [xlo, xhi). """ a, b, c = cell an, bn, cn = [np.linalg.norm(v) for v in cell] alpha = np.arccos(np.dot(b, c)/(bn*cn)) beta = np.arccos(np.dot(a, c)/(an*cn)) gamma = np.arccos(np.dot(a, b)/(an*bn)) xhi = an xyp = np.cos(gamma)*bn yhi = np.sin(gamma)*bn xzp = np.cos(beta)*cn yzp = (bn*cn*np.cos(alpha) - xyp*xzp)/yhi zhi = np.sqrt(cn**2 - xzp**2 - yzp**2) # Set precision self.car_prec = dec.Decimal('10.0') ** \ int(np.floor(np.log10(max((xhi,yhi,zhi))))-digits) self.dir_prec = dec.Decimal('10.0') ** (-digits) self.acc = float(self.car_prec) self.eps = np.finfo(xhi).eps # For rotating positions from ase to lammps Apre = np.array(((xhi, 0, 0), (xyp, yhi, 0), (xzp, yzp, zhi))) self.R = np.dot(np.linalg.inv(cell), Apre) # Actual lammps cell may be different from what is used to create R def fold(vec, pvec, i): p = pvec[i] x = vec[i] + 0.5*p n = (np.mod(x, p) - x)/p return [float(self.f2qdec(a)) for a in (vec + n*pvec)] Apre[1,:] = fold(Apre[1,:], Apre[0,:], 0) Apre[2,:] = fold(Apre[2,:], Apre[1,:], 1) Apre[2,:] = fold(Apre[2,:], Apre[0,:], 0) self.A = Apre self.Ainv = np.linalg.inv(self.A) if self.is_skewed() and \ (not (pbc[0] and pbc[1] and pbc[2])): raise RuntimeError('Skewed lammps cells MUST have ' 'PBC == True in all directions!') def f2qdec(self, f): return dec.Decimal(repr(f)).quantize(self.car_prec, dec.ROUND_DOWN) def f2qs(self, f): return str(self.f2qdec(f)) def f2s(self, f): return str(dec.Decimal(repr(f)).quantize(self.car_prec, dec.ROUND_HALF_EVEN)) def dir2car(self, v): "Direct to cartesian coordinates" return np.dot(v, self.A) def car2dir(self, v): "Cartesian to direct coordinates" return np.dot(v, self.Ainv) def fold_to_str(self,v): "Fold a position into the lammps cell (semi open), return a tuple of str" # Two-stage fold, first into box, then into semi-open interval # (within the given precission). d = [x % (1-self.dir_prec) for x in map(dec.Decimal, map(repr, np.mod(self.car2dir(v) + self.eps, 1.0)))] return tuple([self.f2qs(x) for x in self.dir2car(map(float, d))]) def get_lammps_prism(self): A = self.A return (A[0,0], A[1,1], A[2,2], A[1,0], A[2,0], A[2,1]) def get_lammps_prism_str(self): "Return a tuple of strings" p = self.get_lammps_prism() return tuple([self.f2s(x) for x in p]) def pos_to_lammps_str(self, position): "Rotate an ase-cell postion to the lammps cell orientation, return tuple of strs" return tuple([self.f2s(x) for x in np.dot(position, self.R)]) def pos_to_lammps_fold_str(self, position): "Rotate and fold an ase-cell postion into the lammps cell, return tuple of strs" return self.fold_to_str(np.dot(position, self.R)) def is_skewed(self): acc = self.acc prism = self.get_lammps_prism() axy, axz, ayz = [np.abs(x) for x in prism[3:]] return (axy >= acc) or (axz >= acc) or (ayz >= acc) def write_lammps_data(fileobj, atoms, specorder=[], force_skew=False, prismobj=None): """Method which writes atomic structure data to a LAMMPS data file.""" if isinstance(fileobj, str): f = paropen(fileobj, 'w') close_file = True else: # Presume fileobj acts like a fileobj f = fileobj close_file = False if isinstance(atoms, list): if len(atoms) > 1: raise ValueError('Can only write one configuration to a lammps data file!') atoms = atoms[0] f.write(f.name + ' (written by ASE) \n\n') symbols = atoms.get_chemical_symbols() n_atoms = len(symbols) f.write('%d \t atoms \n' % n_atoms) if specorder is None: # This way it is assured that LAMMPS atom types are always # assigned predictively according to the alphabetic order species = sorted(list(set(symbols))) else: # To index elements in the LAMMPS data file # (indices must correspond to order in the potential file) species = specorder n_atom_types = len(species) f.write('%d atom types\n' % n_atom_types) if prismobj is None: p = prism(atoms.get_cell()) else: p = prismobj xhi, yhi, zhi, xy, xz, yz = p.get_lammps_prism_str() f.write('0.0 %s xlo xhi\n' % xhi) f.write('0.0 %s ylo yhi\n' % yhi) f.write('0.0 %s zlo zhi\n' % zhi) if force_skew or p.is_skewed(): f.write('%s %s %s xy xz yz\n' % (xy, xz, yz)) f.write('\n\n') f.write('Atoms \n\n') for i, r in enumerate(map(p.pos_to_lammps_str, atoms.get_positions())): s = species.index(symbols[i]) + 1 f.write('%6d %3d %s %s %s\n' % ((i+1, s)+tuple(r))) if close_file: f.close() if __name__ == '__main__': pair_style = 'eam' Pd_eam_file = 'Pd_u3.eam' pair_coeff = [ '* * ' + Pd_eam_file ] parameters = { 'pair_style' : pair_style, 'pair_coeff' : pair_coeff } files = [ Pd_eam_file ] calc = LAMMPS(parameters=parameters, files=files) from ase import Atoms a0 = 3.93 b0 = a0 / 2.0 if True: bulk = Atoms(['Pd']*4, positions=[(0,0,0),(b0,b0,0),(b0,0,b0),(0,b0,b0)], cell=[a0]*3, pbc=True) # test get_forces print 'forces for a = %f' % a0 print calc.get_forces(bulk) # single points for various lattice constants bulk.set_calculator(calc) for n in range(-5,5,1): a = a0 * (1 + n/100.0) bulk.set_cell([a]*3) print 'a : %f , total energy : %f' % (a, bulk.get_potential_energy()) calc.clean() python-ase-3.6.0.2515/ase/calculators/tip3p.py0000644000175400017540000001346311564503727017716 0ustar askhlaskhl"""TIP3P potential, constraints and dynamics.""" from math import pi, sin, cos import numpy as np import ase.units as units from ase.parallel import world from ase.md.md import MolecularDynamics qH = 0.417 sigma0 = 3.15061 epsilon0 = 0.1521 * units.kcal / units.mol rOH = 0.9572 thetaHOH = 104.52 / 180 * pi class TIP3P: def __init__(self, rc=9.0, width=1.0): self.energy = None self.forces = None self.rc1 = rc - width self.rc2 = rc def get_spin_polarized(self): return False def update(self, atoms): if (self.energy is None or len(self.numbers) != len(atoms) or (self.numbers != atoms.get_atomic_numbers()).any()): self.calculate(atoms) elif ((self.positions != atoms.get_positions()).any() or (self.pbc != atoms.get_pbc()).any() or (self.cell != atoms.get_cell()).any()): self.calculate(atoms) def calculation_required(self, atoms, quantities): if len(quantities) == 0: return False return (self.energy is None or len(self.numbers) != len(atoms) or (self.numbers != atoms.get_atomic_numbers()).any() or (self.positions != atoms.get_positions()).any() or (self.pbc != atoms.get_pbc()).any() or (self.cell != atoms.get_cell()).any()) def get_potential_energy(self, atoms): self.update(atoms) return self.energy def get_forces(self, atoms): self.update(atoms) return self.forces.copy() def get_stress(self, atoms): raise NotImplementedError def calculate(self, atoms): self.positions = atoms.get_positions().copy() self.cell = atoms.get_cell().copy() self.pbc = atoms.get_pbc().copy() natoms = len(atoms) nH2O = natoms // 3 assert self.pbc.all() C = self.cell.diagonal() assert not (self.cell - np.diag(C)).any() assert (C >= 2 * self.rc2).all() self.numbers = atoms.get_atomic_numbers() Z = self.numbers.reshape((-1, 3)) assert (Z[:, 1:] == 1).all() and (Z[:, 0] == 8).all() R = self.positions.reshape((nH2O, 3, 3)) RO = R[:, 0] self.energy = 0.0 self.forces = np.zeros((natoms, 3)) if world.size == 1: mya = range(nH2O - 1) else: rank = world.rank size = world.size assert nH2O // (2 * size) == 0 mynH2O = nH2O // 2 // size mya = (range(rank * n, (rank + 1) * n) + range((size - rank - 1) * n, (size - rank) * n)) q = np.empty(3) q[:] = qH * (units.Hartree * units.Bohr)**0.5 q[0] *= -2 for a in mya: DOO = (RO[a + 1:] - RO[a] + 0.5 * C) % C - 0.5 * C dOO = (DOO**2).sum(axis=1)**0.5 x1 = dOO > self.rc1 x2 = dOO < self.rc2 f = np.zeros(nH2O - a - 1) f[x2] = 1.0 dfdd = np.zeros(nH2O - a - 1) x12 = np.logical_and(x1, x2) d = (dOO[x12] - self.rc1) / (self.rc2 - self.rc1) f[x12] -= d**2 * (3.0 - 2.0 * d) dfdd[x12] -= 6.0 / (self.rc2 - self.rc1) * d * (1.0 - d) y = (sigma0 / dOO)**6 y2 = y**2 e = 4 * epsilon0 * (y2 - y) self.energy += np.dot(e, f) dedd = 24 * epsilon0 * (2 * y2 - y) / dOO * f - e * dfdd F = (dedd / dOO)[:, np.newaxis] * DOO self.forces[(a + 1) * 3::3] += F self.forces[a * 3] -= F.sum(axis=0) for i in range(3): D = (R[a + 1:] - R[a, i] + 0.5 * C) % C - 0.5 * C d = (D**2).sum(axis=2)**0.5 e = q[i] * q / d self.energy += np.dot(f, e).sum() F = (e / d**2 * f[:, np.newaxis])[:, :, np.newaxis] * D F[:, 0] -= (e.sum(axis=1) * dfdd / dOO)[:, np.newaxis] * DOO self.forces[(a + 1) * 3:] += F.reshape((-1, 3)) self.forces[a * 3 + i] -= F.sum(axis=0).sum(axis=0) self.energy = world.sum(self.energy) world.sum(self.forces) class H2OConstraint: """Constraint object for a rigid H2O molecule.""" def __init__(self, r=rOH, theta=thetaHOH, iterations=23, masses=None): self.r = r self.theta = theta self.iterations = iterations self.m = masses def set_masses(self, masses): self.m = masses def adjust_positions(self, old, new): bonds = [(0, 1, self.r), (0, 2, self.r)] if self.theta: bonds.append((1, 2, sin(self.theta / 2) * self.r * 2)) for iter in range(self.iterations): for i, j, r in bonds: D = old[i::3] - old[j::3] m1 = self.m[i] m2 = self.m[j] a = new[i::3] b = new[j::3] B = a - b x = (D**2).sum(axis=1) y = (D * B).sum(axis=1) z = (B**2).sum(axis=1) - r**2 k = m1 * m2 / (m1 + m2) * ((y**2 - x * z)**0.5 - y) / x k.shape = (-1, 1) a += k / m1 * D b -= k / m2 * D def adjust_forces(self, positions, forces): pass def copy(self): return H2OConstraint(self.r, self.theta, self.iterations, self.m) class Verlet(MolecularDynamics): def step(self, f): atoms = self.atoms m = atoms.get_masses()[:, np.newaxis] v = self.atoms.get_velocities() r0 = atoms.get_positions() r = r0 + self.dt * v + self.dt**2 * f / m atoms.set_positions(r) r = atoms.get_positions() v = (r - r0) / self.dt self.atoms.set_velocities(v) return atoms.get_forces() python-ase-3.6.0.2515/ase/calculators/exciting.py0000644000175400017540000001124211666143273020461 0ustar askhlaskhlimport os import numpy as np from ase.units import Bohr, Hartree class Exciting: """exciting calculator object.""" def __init__(self, dir='calc', template=None, speciespath='http://xml.exciting-code.org/species/', bin='excitingser', kpts=(1, 1, 1), **kwargs): """Exciting calculator object constructor Parameters ---------- dir: string directory in which to execute exciting template: string Path to XSLT template if it should be used default: none speciespath: string Directory or URL to look up species files bin: string Path or executable name of exciting default: ``excitingser`` kpts: integer list length 3 Number of k-points kwargs: dictionary like list of key value pairs to be converted into groundstate attributes """ self.dir = dir self.energy = None self.template = template self.speciespath = speciespath self.converged = False self.excitingbinary = bin self.groundstate_attributes = kwargs if not 'ngridk' in kwargs.keys(): self.groundstate_attributes['ngridk'] = ' '.join(map(str, kpts)) def update(self, atoms): if (not self.converged or len(self.numbers) != len(atoms) or (self.numbers != atoms.get_atomic_numbers()).any()): self.initialize(atoms) self.calculate(atoms) elif ((self.positions != atoms.get_positions()).any() or (self.pbc != atoms.get_pbc()).any() or (self.cell != atoms.get_cell()).any()): self.calculate(atoms) def initialize(self, atoms): self.numbers = atoms.get_atomic_numbers().copy() self.write(atoms) def get_potential_energy(self, atoms): """ returns potential Energy """ if self.energy is None: self.update(atoms) return self.energy def get_forces(self, atoms): self.update(atoms) return self.forces.copy() # def get_stress(self, atoms): # self.update(atoms) # return self.stress.copy() def calculate(self, atoms): self.positions = atoms.get_positions().copy() self.cell = atoms.get_cell().copy() self.pbc = atoms.get_pbc().copy() self.initialize(atoms) syscall = ('cd %(dir)s; %(bin)s;' % {'dir': self.dir, 'bin': self.excitingbinary}) print syscall assert os.system(syscall ) == 0 self.read() def write(self, atoms): from lxml import etree as ET from ase.io.exciting import atoms2etree if not os.path.isdir(self.dir): os.mkdir(self.dir) root = atoms2etree(atoms) root.find('structure').attrib['speciespath'] = self.speciespath root.find('structure').attrib['autormt'] = 'false' groundstate = ET.SubElement(root, 'groundstate', tforce='true') for key, value in self.groundstate_attributes.items(): groundstate.attrib[key] = str(value) if self.template: xslf = open(self.template, 'r') xslt_doc = ET.parse(xslf) transform = ET.XSLT(xslt_doc) result = transform(root) fd = open('%s/input.xml' % self.dir, 'w') fd.write(ET.tostring(result, method='xml', pretty_print=True, xml_declaration=True, encoding='UTF-8')) fd.close() else: fd = open('%s/input.xml' % self.dir, 'w') fd.write(ET.tostring(root, method='xml', pretty_print=True, xml_declaration=True, encoding='UTF-8')) fd.close() def read(self): """ reads Total energy and forces from info.xml """ from lxml import etree as ET INFO_file = '%s/info.xml' % self.dir try: fd = open(INFO_file) except IOError: print "file doesn't exist" info = ET.parse(fd) self.energy = float(info.xpath('//@totalEnergy')[-1]) * Hartree forces = [] forcesnodes = info.xpath( '//structure[last()]/species/atom/forces/totalforce/@*') for force in forcesnodes: forces.append(np.array(float(force))) self.forces = np.reshape(forces, (-1, 3)) if str(info.xpath('//groundstate/@status')[0]) == 'finished': self.converged = True else: raise RuntimeError('calculation did not finish correctly') # Stress # self.stress = np.empty((3, 3)) python-ase-3.6.0.2515/ase/calculators/elk.py0000644000175400017540000003565611636604104017431 0ustar askhlaskhlimport os import numpy as np from ase.units import Bohr, Hartree elk_parameters = { 'swidth': Hartree, } class ELK: def __init__(self, dir='.', xc=None, kpts=None, tasks=[0], **kwargs): for key, value in kwargs.items(): if key in elk_parameters: kwargs[key] /= elk_parameters[key] try: self.exe = os.environ['ELK'] except KeyError: self.exe = 'elk' if xc is not None: if 'xctype' in kwargs: raise ValueError("You can't use both 'xc' and 'xctype'!") else: kwargs['xctype'] = {'LDA': 3, # PW92 'PBE': 20, 'REVPBE': 21, 'PBESOL': 22, 'WC06': 26, 'AM05': 30}[xc.upper()] if kpts is not None: if 'autokpt' in kwargs: if kwargs['autokpt']: raise ValueError("You can't use both 'kpts' and 'autokpt'!") if 'ngridk' in kwargs: raise ValueError("You can't use both 'kpts' and 'ngridk'!") if 'vkloff' in kwargs: raise ValueError("You can't use both 'kpts' and 'vkloff'!") else: kwargs['ngridk'] = kpts vkloff = [] for nk in kpts: if nk % 2 == 0: # shift kpoint away from gamma point vkloff.append(0.5 / nk) else: vkloff.append(0) kwargs['vkloff'] = vkloff kwargs['tasks'] = tasks if 'rmt' in kwargs: self.rmt = kwargs['rmt'] assert len(self.rmt.keys()) == len(list(set(self.rmt.keys()))), 'redundant rmt definitions' else: self.rmt = None self.parameters = kwargs if 'rmt' in self.parameters: self.parameters.pop('rmt') # this is not an elk keyword! self.dir = dir self.energy = None self.converged = False def update(self, atoms): if (not self.converged or len(self.numbers) != len(atoms) or (self.numbers != atoms.get_atomic_numbers()).any()): self.initialize(atoms) self.calculate(atoms) elif ((self.positions != atoms.get_positions()).any() or (self.pbc != atoms.get_pbc()).any() or (self.cell != atoms.get_cell()).any()): self.calculate(atoms) def initialize(self, atoms): self.numbers = atoms.get_atomic_numbers().copy() if not hasattr(self, 'spinpol'): self.spinpol = atoms.get_initial_magnetic_moments().any() self.write(atoms) def get_potential_energy(self, atoms): self.update(atoms) return self.energy def get_forces(self, atoms): self.update(atoms) return self.forces.copy() def get_stress(self, atoms): self.update(atoms) return self.stress.copy() def get_ibz_k_points(self): return self.read_kpts(mode='ibz_k_points') def read_kpts(self, mode='ibz_k_points'): """ Returns list of kpts weights or kpts coordinates. """ values = [] assert mode in ['ibz_k_points' , 'k_point_weights'], 'mode not in [\'ibz_k_points\' , \'k_point_weights\']' KPOINTS_file = '%s/KPOINTS.OUT' % self.dir if os.path.isfile(KPOINTS_file) or os.path.islink(KPOINTS_file): lines = open(KPOINTS_file).readlines() kpts = None for line in lines: if line.rfind(': nkpt') > -1: kpts = int(line.split(':')[0].strip()) break assert not kpts is None text = lines[1:] # remove first line values = [] for line in text: if mode == 'ibz_k_points': b = [float(c.strip()) for c in line.split()[1:-3]] else: b = [float(c.strip()) for c in line.split()[-2]] values.append(b) if len(values) == 0: values = None return np.array(values) def get_spin_polarized(self): return self.spinpol def get_number_of_spins(self): return 1 + int(self.spinpol) def get_magnetic_moment(self, atoms): self.update(atoms) return self.magnetic_moment def read_magnetic_moment(self): magmom = None INFO_file = '%s/INFO.OUT' % self.dir if os.path.isfile(INFO_file) or os.path.islink(INFO_file): lines = open(INFO_file).readlines() for line in lines: if line.rfind('total moment :') > -1: magmom = float(line.split(':')[1].strip()) # last iter return magmom def get_magnetic_moments(self, atoms): # not implemented yet, so # so set the total magnetic moment on the atom no. 0 and fill with 0.0 self.update(atoms) magmoms = [0.0 for a in range(len(atoms))] magmoms[0] = self.get_magnetic_moment(atoms) return np.array(magmoms) def get_fermi_level(self): return self.read_fermi() def get_number_of_bands(self): return self.nbands def read_number_of_bands(self): nbands = None EIGVAL_file = '%s/EIGVAL.OUT' % self.dir if os.path.isfile(EIGVAL_file) or os.path.islink(EIGVAL_file): lines = open(EIGVAL_file).readlines() for line in lines: if line.rfind(': nstsv') > -1: nbands = int(line.split(':')[0].strip()) break if self.get_spin_polarized(): nbands = nbands / 2 return nbands def get_number_of_iterations(self): return self.niter def read_number_of_iterations(self): niter = None INFO_file = '%s/INFO.OUT' % self.dir if os.path.isfile(INFO_file) or os.path.islink(INFO_file): lines = open(INFO_file).readlines() for line in lines: if line.rfind(' Loop number : ') > -1: niter = int(line.split(':')[1].split()[0].strip()) # last iter return niter def get_electronic_temperature(self): return self.swidth def read_electronic_temperature(self): swidth = None INFO_file = '%s/INFO.OUT' % self.dir if os.path.isfile(INFO_file) or os.path.islink(INFO_file): text = open(INFO_file).read().lower() assert 'convergence targets achieved' in text assert not 'reached self-consistent loops maximum' in text for line in iter(text.split('\n')): if line.rfind('smearing width :') > -1: swidth = float(line.split(':')[1].strip()) break return Hartree*swidth def get_number_of_electrons(self): return self.nelect def read_number_of_electrons(self): nelec = None INFO_file = '%s/INFO.OUT' % self.dir if os.path.isfile(INFO_file) or os.path.islink(INFO_file): text = open(INFO_file).read().lower() assert 'convergence targets achieved' in text assert not 'reached self-consistent loops maximum' in text # Total electronic charge for line in iter(text.split('\n')): if line.rfind('total electronic charge :') > -1: nelec = float(line.split(':')[1].strip()) break return nelec def get_eigenvalues(self, kpt=0, spin=0): return self.read_eigenvalues(kpt, spin, 'eigenvalues') def get_occupation_numbers(self, kpt=0, spin=0): return self.read_eigenvalues(kpt, spin, 'occupations') def get_fermi_level(self): return self.fermi def calculate(self, atoms): self.positions = atoms.get_positions().copy() self.cell = atoms.get_cell().copy() self.pbc = atoms.get_pbc().copy() self.initialize(atoms) assert os.system('cd %s&& %s ' % (self.dir, self.exe)) == 0 self.read() self.converged = True def write(self, atoms): if not os.path.isdir(self.dir): os.mkdir(self.dir) fd = open('%s/elk.in' % self.dir, 'w') for key, value in self.parameters.items(): fd.write('%s\n' % key) if isinstance(value, bool): fd.write('.%s.\n\n' % ('false', 'true')[value]) elif isinstance(value, (int, float)): fd.write('%s\n\n' % value) else: fd.write('%s\n\n' % ' '.join([str(x) for x in value])) fd.write('avec\n') for vec in atoms.cell: fd.write('%.14f %.14f %.14f\n' % tuple(vec / Bohr)) fd.write('\n') species = {} symbols = [] for a, symbol in enumerate(atoms.get_chemical_symbols()): if symbol in species: species[symbol].append(a) else: species[symbol] = [a] symbols.append(symbol) fd.write('atoms\n%d\n' % len(species)) scaled = atoms.get_scaled_positions() for symbol in symbols: fd.write("'%s.in'\n" % symbol) fd.write('%d\n' % len(species[symbol])) for a in species[symbol]: fd.write('%.14f %.14f %.14f 0.0 0.0 0.0\n' % tuple(scaled[a])) customspecies = self.rmt if customspecies: # custom species definitions fd.write("\n") sfile = os.path.join(os.environ['ELK_SPECIES_PATH'], 'elk.in') assert os.path.exists(sfile) slines = open(sfile, 'r').readlines() # remove unused species for s in customspecies.keys(): if s not in species.keys(): customspecies.pop(s) # add undefined species with defaults for s in species.keys(): if s not in customspecies.keys(): # use default rmt for undefined species customspecies.update({s: 0.0}) # write custom species into elk.in skeys = list(set(customspecies.keys())) # unique skeys.sort() for s in skeys: found = False for n, line in enumerate(slines): if line.find("'" + s + "'") > -1: begline = n - 1 for n, line in enumerate(slines[begline:]): if not line.strip(): # first empty line endline = n found = True break assert found fd.write("species\n") # set rmt on third line rmt = customspecies[s] assert isinstance(rmt, (float,int)) if rmt <= 0.0: # relative # split needed because H is defined with comments newrmt = float(slines[begline + 3].split()[0].strip()) + rmt else: newrmt = rmt slines[begline + 3] = '%6s\n' % str(newrmt) for l in slines[begline: begline + endline]: fd.write('%s' % l) fd.write("\n") else: # use default species # if sppath is present in elk.in it overwrites species blocks! fd.write("sppath\n'%s'\n\n" % os.environ['ELK_SPECIES_PATH']) def read_fermi(self): """Method that reads Fermi energy in Hartree from the output file and returns it in eV""" E_f=None INFO_file = '%s/INFO.OUT' % self.dir if os.path.isfile(INFO_file) or os.path.islink(INFO_file): text = open(INFO_file).read().lower() assert 'convergence targets achieved' in text assert not 'reached self-consistent loops maximum' in text for line in iter(text.split('\n')): if line.rfind('fermi :') > -1: E_f = float(line.split(':')[1].strip()) E_f = E_f*Hartree return E_f def read_eigenvalues(self, kpt=0, spin=0, mode='eigenvalues'): """ Returns list of last eigenvalues, occupations for given kpt and spin. """ values = [] assert mode in ['eigenvalues' , 'occupations'], 'mode not in [\'eigenvalues\' , \'occupations\']' EIGVAL_file = '%s/EIGVAL.OUT' % self.dir if os.path.isfile(EIGVAL_file) or os.path.islink(EIGVAL_file): lines = open(EIGVAL_file).readlines() nstsv = None for line in lines: if line.rfind(': nstsv') > -1: nstsv = int(line.split(':')[0].strip()) break assert not nstsv is None kpts = None for line in lines: if line.rfind(': nkpt') > -1: kpts = int(line.split(':')[0].strip()) break assert not kpts is None text = lines[3:] # remove first 3 lines # find the requested k-point beg = 2 + (nstsv + 4) * kpt end = beg + nstsv if self.get_spin_polarized(): # elk prints spin-up and spin-down together if spin == 0: beg = beg end = beg + nstsv / 2 else: beg = beg - nstsv / 2 - 3 end = end values = [] for line in text[beg:end]: b = [float(c.strip()) for c in line.split()[1:]] values.append(b) if mode == 'eigenvalues': values = [Hartree*v[0] for v in values] else: values = [v[1] for v in values] if len(values) == 0: values = None return np.array(values) def read(self): fd = open('%s/TOTENERGY.OUT' % self.dir, 'r') self.energy = float(fd.readlines()[-1]) * Hartree # Forces: INFO_file = '%s/INFO.OUT' % self.dir if os.path.isfile(INFO_file) or os.path.islink(INFO_file): text = open(INFO_file).read().lower() assert 'convergence targets achieved' in text assert not 'reached self-consistent loops maximum' in text lines = iter(text.split('\n')) forces = [] atomnum = 0 for line in lines: if line.rfind('total force') > -1: forces.append(np.array([float(f) for f in line.split(':')[1].split()])) atomnum =+ 1 self.forces = np.array(forces) else: raise RuntimeError # Stress self.stress = np.empty((3, 3)) self.nbands = self.read_number_of_bands() self.nelect = self.read_number_of_electrons() self.swidth = self.read_electronic_temperature() self.niter = self.read_number_of_iterations() self.magnetic_moment = self.read_magnetic_moment() python-ase-3.6.0.2515/ase/calculators/general.py0000644000175400017540000000316611613576473020276 0ustar askhlaskhl class Calculator: def __init__(self): return def set_atoms(self, atoms): self.atoms = atoms.copy() def get_atoms(self): atoms = self.atoms.copy() atoms.set_calculator(self) return atoms def get_name(self): """Return the name of the calculator (string). """ raise NotImplementedError def get_version(self): """Return the version of the calculator (string). """ raise NotImplementedError def get_potential_energy(self, atoms, force_consistent=False): self.update(atoms) if force_consistent: return self.energy_free else: return self.energy_zero def get_forces(self, atoms): self.update(atoms) return self.forces def get_stress(self, atoms): self.update(atoms) return self.stress def initialize(self, atoms): """Prepare the input files required to start the program (calculator). """ raise NotImplementedError def read(self, atoms): self.positions = atoms.get_positions() self.energy_free, self.energy_zero = self.read_energy() self.forces = self.read_forces(atoms) self.dipole = self.read_dipole() self.fermi = self.read_fermi() self.atoms = atoms.copy() try: self.nbands = self.read_nbands() except NotImplementedError: do_nothing = True except AttributeError: do_nothing = True try: self.stress = self.read_stress() except NotImplementedError: do_nothing = True return python-ase-3.6.0.2515/ase/calculators/dftb.py0000644000175400017540000006624511452546076017604 0ustar askhlaskhl"""This module defines an ASE interface to DftbPlus http://http://www.dftb-plus.info// http://www.dftb.org/ -Markus Kaukonen markus.kaukonen@iki.fi """ import numpy as np import os #from ase.data import chemical_symbols from ase.units import Hartree, Bohr class Dftb: """Class for doing DFTB+ calculations. """ def __init__(self, label='dftb', write_dftb=False, charge=0.0, include_dispersion=False, do_spin_polarized=False, unpaired_electrons=0.0, fermi_temperature=0.0, scc=False, kpt_n11=1, kpt_n12=0, kpt_n13=0, kpt_n21=0, kpt_n22=1, kpt_n23=0, kpt_n31=0, kpt_n32=0, kpt_n33=1, kpt_s1=0.0, kpt_s2=0.0, kpt_s3=0.0, md_dftb=False, dftb_nsteps=0, md_restart_frequency=100, md_dftb_write_vel=True, md_dftb_init_t=300.0, md_dftb_berendsen_nvt=False,md_dftb_berendsen_t=300, md_dftb_keep_stationary=True, md_dftb_dt=0.1,md_dftb_berendsen_strength=1.0e-4): """Construct DFTB-calculator object. For example: calc = Dftb(label='dftb',write_dftb=True,include_dispersion=True ) Parameters ========== label: str Prefix to use for filenames (label.txt, ...). Default is 'dftb'. write_dftb: boolean True: a minimal input file (name of which is always 'dftb_in.hsd') is written based on values given here. False: input file for dftb+ is not written. User must have generated file 'dftb_in.hsd' in the working directory. Use write_dftb=False to use your own 'dftb_in.hsd'-file. charge: float Total charge of the system. include_dispersion: boolean True: Default dispersion parameters are written in the file 'dftb_in.hsd' (requires that also write_dftb_input_file==True) False: dispersion parameters are not written here. do_spin_polarized: boolean True: Spin polarized calculation (requires that also write_dftb_input_file==True) False: Spin unpolarized calculation unpaired_electrons: float Number of spin unpaired electrons in the system. Relevant only if do_spin_polarized==True fermi_temperature: float Fermi temperature for electrons. scc: boolean True: Do charge self consistent dftb+ False: No SCC, charges on atoms are not iterated kpt_nxx: int(s) The 9 integers for K-point generation scheme SupercellFolding kpt_s1, kpt_s2, kpt_s3: float(s) Shifts for the K-point generation scheme SupercellFolding md_dftb: boolean True: MD is run by DFTB False: MD is run by ase (or A CG run is done by ase or DFTB) (requires that also write_dftb_input_file==True) dftb_nsteps: int Number of simulation steps (either in CG or MD) run by DFTB+ program. If dftb_nsteps==0 it is assumed that minimisation/dynamics is run by ase (after DFTB+ positions and velocities are read). If dftb_nsteps>0 minimisation/dynamics is run by DFTB+. (requires that also write_dftb_input_file==True) md_restart_frequency: int How often coordinates are written. (requires that md_dftb==True, ie MD is run by DFTB+ program) (requires that also write_dftb_input_file==True) md_dftb_write_vel: bool True: velocities are written in dftb_in.hsd file to be read by dftb (in this case md_dftb_init_t is ignored) False: velocities are not written in dftb_in.hsd (requires that md_dftb==True, ie MD is run by DFTB+ program) (requires that also write_dftb_input_file==True) md_dftb_init_t: float Initial temperature is set randomly to md_dftb_init_t This is dummy if md_dftb_write_vel==True (requires that md_dftb==True, ie MD is run by DFTB+ program) (requires that also write_dftb_input_file==True) md_dftb_berendsen_nvt: boolean True: Berendsen NVT dynamics is run by DFTB+ (for dftb_nsteps) False: no Berendsen NVT MD (requires that also write_dftb_input_file==True) md_dftb_berendsen_t: float Temperature for DFTB+ Berendsen thermostate (requires that also write_dftb_input_file==True) md_dftb_keep_stationary: boolean True: In DFTB+ MD the translational movement of the system is removed False: Center of mass movement is not removed in DFTB+ MD (requires that also write_dftb_input_file==True) md_dftb_dt: float Timestep in [fs] for DFTB+ Berendsen thermostate. (requires that also write_dftb_input_file==True) md_dftb_berendsen_strength:float Coupling strength in DFTB+ Berendsen thermostate (requires that also write_dftb_input_file==True) Input file for DFTB+ file is 'dftb_in.hsd'. Keywords in it are written here or read from an existing file. The atom positions in file 'dftb_in.hsd' are updated during ASE geometry optimization. """ if not(write_dftb): if os.path.isfile('dftb_in.hsd'): myf = open('dftb_in.hsd') else: print 'Input file for DFTB+ dftb_in.hsd is missing' raise RuntimeError, \ 'Provide it or set write_dftb=True ' #lines = f.readlines() myf.close() self.label = label self.write_dftb = write_dftb self.charge = charge self.include_dispersion = include_dispersion self.do_spin_polarized = do_spin_polarized self.unpaired_electrons = unpaired_electrons #if (do_spin_polarized): # print 'Sorry, generation of file "dftb_in.hsd" with spin ' # print 'polarization is not inplemented for DFTB+' # print 'Set write_dftb=False and' # raise RuntimeError, \ # 'Generate file "dftb_in.hsd by hand"' self.etotal = 0.0 self.cell = None self.fermi_temperature = fermi_temperature self.scc = scc self.kpt_n11 = kpt_n11 self.kpt_n12 = kpt_n12 self.kpt_n13 = kpt_n13 self.kpt_n21 = kpt_n21 self.kpt_n22 = kpt_n22 self.kpt_n23 = kpt_n23 self.kpt_n31 = kpt_n31 self.kpt_n32 = kpt_n32 self.kpt_n33 = kpt_n33 self.kpt_s1 = kpt_s1 self.kpt_s2 = kpt_s2 self.kpt_s3 = kpt_s3 self.md_dftb = md_dftb self.dftb_nsteps = dftb_nsteps self.md_restart_frequency = md_restart_frequency self.md_dftb_write_vel = md_dftb_write_vel self.md_dftb_init_t = md_dftb_init_t self.md_dftb_berendsen_nvt = md_dftb_berendsen_nvt self.md_dftb_berendsen_t = md_dftb_berendsen_t self.md_dftb_keep_stationary = md_dftb_keep_stationary self.md_dftb_dt = md_dftb_dt self.md_dftb_berendsen_strength = md_dftb_berendsen_strength self.converged = False #dftb has no stress self.stress = np.empty((3, 3)) def update(self, atoms): """Energy and forces are calculated when atoms have moved by calling self.calculate """ if (not self.converged or len(self.typenumber) != len(atoms)): self.initialize(atoms) self.calculate(atoms) elif ((self.positions != atoms.get_positions()).any() or (self.pbc != atoms.get_pbc()).any() or (self.cell != atoms.get_cell()).any()): self.calculate(atoms) def initialize(self, atoms): """ Set arrays of species, number of atoms in species and max angular momentum for each species. Also write dftb_in.hsd file if desired """ #from ase.io.dftb import read_dftb atomtypes = atoms.get_chemical_symbols() self.allspecies = [] self.typenumber = [] self.max_angular_momentum = [] for species in (atomtypes): if species not in self.allspecies: self.allspecies.append(species) for species in (atomtypes): myindex = 1 + self.allspecies.index(species) self.typenumber.append(myindex) for i in self.allspecies: if i == 'H': self.max_angular_momentum.append('s') elif i in ['C','N','O']: self.max_angular_momentum.append('p') elif i in ['Si','S','Fe','Ni']: self.max_angular_momentum.append('d') else: print 'anglular momentum is not imlemented in ASE-DFTB+' print 'for species '+i raise RuntimeError('Use option write_dftb=False') self.converged = False #write DFTB input file if desired self.positions = atoms.get_positions().copy() if self.write_dftb: self.write_dftb_input_file(atoms) def get_potential_energy(self, atoms): self.update(atoms) return self.etotal def get_forces(self, atoms): self.update(atoms) return self.forces.copy() def get_stress(self, atoms): self.update(atoms) return self.stress.copy() def calculate(self, atoms): """Total DFTB energy is calculated (to file 'energy' also forces are calculated (to file 'gradient') In case of md_dftb==True (md is run by DFTB+) the positions and velocities are updated after the DFTB+ md run. """ self.positions = atoms.get_positions().copy() self.cell = atoms.get_cell().copy() self.pbc = atoms.get_pbc().copy() if self.write_dftb: self.write_dftb_input_file(atoms) else: #write current coordinates to file 'dftb_in.hsd' for DFTB+ self.change_atom_positions_dftb(atoms) #print "OK1" #DFTB energy&forces calculation (or possibly full MD if md_dftb==True) if (os.environ.has_key('DFTB_COMMAND') and (os.environ.has_key('DFTB_PREFIX'))): dftb = os.environ['DFTB_COMMAND'] exitcode = os.system(dftb+ '> dftb.output' ) elif not(os.environ.has_key('DFTB_COMMAND')): raise RuntimeError('Please set DFTB_COMMAND environment variable') elif not(os.environ.has_key('DFTB_PREFIX')): print 'Path for DFTB+ slater koster files is missing' raise RuntimeError('Please set DFTB_PREFIX environment variable') if exitcode != 0: raise RuntimeError('Dftb exited with exit code: %d. ' % exitcode) #read positions and velocities in case MD/CG was run by DFTB if (self.md_dftb): #print "READINGG POSITIONS" self.read_positions(atoms) self.read_velocities(atoms) #print "setting vel after DFTB+",atoms.get_velocities().copy() else: # in case of dynamics/minimisation is done by ASE # read energies&forces self.read_energy() #DFTB atomic forces calculation, to be read in file detailed.out #os.system(self.dftb_program_forces +'> output.forces.dummy') self.read_forces(atoms) #in case of cg minimisation with more than 0 steps #we read the DFTB+ minimised geometry if (self.dftb_nsteps > 0): self.read_positions(atoms) self.converged = True def read_energy(self): """Read Energy from DFTB energy file.""" text = open('dftb.output', 'r').read().lower() lines = iter(text.split('\n')) # Energy: for line in lines: if 'total energy' in line: energy_tmp = float(line.split()[2]) #print 'energy_tmp', energy_tmp self.etotal = energy_tmp * Hartree def read_forces(self, atoms): """Read Forces from DFTB+ detailed.out output file""" myf = open('detailed.out','r') line = myf.readline() line = myf.readline() tmpforces = np.array([[0, 0, 0]]) while line: if 'Total Forces' in line: for dummy in atoms: line = myf.readline() line2 = str.replace(line, 'D', 'E') tmp = np.array\ ([[float(f) for f in line2.split()[0:3]]]) tmpforces = np.concatenate((tmpforces, tmp)) line = myf.readline() self.forces = (np.delete(tmpforces, np.s_[0:1], axis=0))*Hartree/Bohr def read_positions(self, atoms): """Read positions from LABEL.xyz output file""" myf = open(self.label+'.xyz','r') # take last coordinates of the LABEL.xyz file lines = myf.readlines() linesreversed = [] for linereverse in reversed(lines): if ('MD iter' in linereverse): break else: linesreversed.append(linereverse) tmpcoord = np.array([[0, 0, 0]]) for lineok in reversed(linesreversed): tmp = np.array\ ([[float(f) for f in lineok.split()[1:4]]]) tmpcoord = np.concatenate((tmpcoord, tmp)) atoms.set_positions(np.delete(tmpcoord, np.s_[0:1], axis=0)) def read_velocities(self, atoms): """Read velocities from LABEL.xyz output file""" myf = open(self.label+'.xyz','r') # take last coordinates of the LABEL.xyz file lines = myf.readlines() linesreversed = [] for linereverse in reversed(lines): if ('MD iter' in linereverse): break else: linesreversed.append(linereverse) tmpvel = np.array([[0, 0, 0]]) for lineok in reversed(linesreversed): tmp = np.array\ ([[float(f) for f in lineok.split()[4:7]]]) tmpvel = np.concatenate((tmpvel, tmp)) tmpvel = tmpvel / 98.22693531550318 atoms.set_velocities(np.delete(tmpvel, np.s_[0:1], axis=0)) print "velocities after dftb", atoms.get_velocities().copy() def read(self): """Dummy stress for dftb""" self.stress = np.empty((3, 3)) def write_dftb_input_file(self, atoms): """Write input parameters to DFTB+ input file 'dftb_in.hsd'.""" import math myf = open('dftb_in.hsd', 'w') # geometry myf.write('Geometry = {\n') myf.write('TypeNames = {') for i in self.allspecies: myf.write(' "'+i+'"') myf.write(' }\n') myf.write('TypesAndCoordinates [Angstrom] = {\n') self.positions = atoms.get_positions().copy() for i, pos in zip(self.typenumber, self.positions): myf.write('%6d ' % (i)) myf.write('%20.14f %20.14f %20.14f' % tuple(pos)) myf.write('\n') myf.write(' }\n') #is it periodic and when is write also lattice vectors periodic = atoms.get_pbc().any() if periodic: myf.write('Periodic = Yes\n') else: myf.write('Periodic = No\n') if periodic: cell = atoms.get_cell().copy() myf.write('LatticeVectors [Angstrom] = {\n') for latvec in cell: myf.write('%20.14f %20.14f %20.14f \n' % tuple(latvec)) myf.write(' }\n') #end of geometry session myf.write('}\n') #print self.dftb_nsteps if self.md_dftb: #Md run by DFTB myf.write('\n') myf.write('Driver = VelocityVerlet{\n') myf.write(' Steps = '+str(self.dftb_nsteps)+' \n') if self.md_dftb_keep_stationary: myf.write(' KeepStationary = Yes \n') else: myf.write(' KeepStationary = No \n') myf.write(' TimeStep [fs] = '+str(self.md_dftb_dt)+' \n') if self.md_dftb_berendsen_nvt: myf.write(' Thermostat = Berendsen{ \n') myf.write(' Temperature [K] = '+ str(self.md_dftb_berendsen_t)+ '\n') myf.write(' CouplingStrength = '+ str(self.md_dftb_berendsen_strength)+ ' \n') myf.write(' }\n') else: myf.write(' Thermostat = None{ \n') if not self.md_dftb_write_vel: myf.write(' InitialTemperature [K] = '+ str(self.md_dftb_init_t)+ '\n') myf.write(' }\n') myf.write(' OutputPrefix = '+self.label+ '\n') myf.write(' MDRestartFrequency = '+ str(self.md_restart_frequency)+ '\n') if self.md_dftb_write_vel: myf.write(' Velocities [AA/ps]={ \n') tmpvelocities = atoms.get_velocities().copy() #from ase units to dftb+ units Ang/ps tmpvelocities = tmpvelocities*98.22693531550318 for vel in tmpvelocities: if math.isnan(vel[0]) or \ math.isnan(vel[1]) or \ math.isnan(vel[2]): myf.write(' %20.14f %20.14f %20.14f' % (0, 0, 0)) else: myf.write(' %20.14f %20.14f %20.14f' % tuple(vel)) myf.write('\n') myf.write(' }\n') myf.write('}\n') else: #zero step CG relaxation to get forces and energies myf.write('\n') myf.write('Driver = ConjugateGradient {\n') myf.write('MovedAtoms = Range { 1 -1 }\n') myf.write(' MaxForceComponent = 1.0e-4\n') myf.write(' MaxSteps = '+str(self.dftb_nsteps)+' \n') myf.write(' OutputPrefix = '+self.label+ '\n') myf.write('}\n') #Hamiltonian myf.write('\n') myf.write('Hamiltonian = DFTB { # DFTB Hamiltonian\n') if (self.scc): myf.write(' SCC = Yes') myf.write(' # Use self consistent charges\n') myf.write(' SCCTolerance = 1.0e-5') myf.write(' # Tolerance for charge consistence\n') myf.write(' MaxSCCIterations = 50') myf.write(' # Nr. of maximal SCC iterations\n') myf.write(' Mixer = Broyden {') myf.write(' # Broyden mixer for charge mixing\n') myf.write(' MixingParameter = 0.2') myf.write(' # Mixing parameter\n') myf.write(' }\n') else: myf.write(' SCC = No # NO self consistent charges\n') myf.write(' SlaterKosterFiles = Type2FileNames {') myf.write(' # File names from two atom type names\n') sk_prefix = os.environ['DFTB_PREFIX'] myf.write(' Prefix = "'+sk_prefix+'"') myf.write(' # Path as prefix\n') myf.write(' Separator = "-"') myf.write(' # Dash between type names\n') myf.write(' Suffix = ".skf"') myf.write(' # Suffix after second type name\n') myf.write(' }\n') myf.write(' MaxAngularMomentum = {') myf.write(' # Maximal l-value of the various species\n') for i, j in zip(self.allspecies, self.max_angular_momentum): myf.write(' '+i+' = "'+j+'"\n') myf.write(' }\n') myf.write(' Charge = ') myf.write('%10.6f' % (self.charge)) myf.write(' # System neutral\n') if self.do_spin_polarized: myf.write(' SpinPolarisation = Colinear {\n') myf.write(' UnpairedElectrons = ' + \ str(self.unpaired_electrons)+'\n') myf.write(' } \n') myf.write(' SpinConstants = {\n') for i in self.allspecies: if i == 'H': myf.write(' H={\n') myf.write(' # Wss\n') myf.write(' -0.072\n') myf.write(' }\n') elif i == 'C': myf.write(' C={\n') myf.write(' # Wss Wsp Wps Wpp\n') myf.write(' -0.031 -0.025 -0.025 -0.023\n') myf.write(' }\n') elif i == 'N': myf.write(' N={\n') myf.write(' # Wss Wsp Wps Wpp\n') myf.write(' -0.033 -0.027 -0.027 -0.026\n') myf.write(' }\n') elif i == 'O': myf.write(' O={\n') myf.write(' # Wss Wsp Wps Wpp\n') myf.write(' -0.035 -0.030 -0.030 -0.028\n') myf.write(' }\n') elif (i == 'Si' or i == 'SI'): myf.write(' Si={\n') myf.write(' # Wss Wsp Wsd Wps Wpp Wpd Wds Wdp Wdd\n') myf.write(' -0.020 -0.015 0.000 -0.015 \ -0.014 0.000 0.002 0.002 -0.032\n') myf.write(' }\n') elif (i == 'S'): myf.write(' S={\n') myf.write(' # Wss Wsp Wsd Wps Wpp Wpd Wds Wdp Wdd\n') myf.write(' -0.021 -0.017 0.000 -0.017 \ -0.016 0.000 0.000 0.000 -0.080\n') myf.write(' }\n') elif (i == 'Fe' or i == 'FE'): myf.write(' Fe={\n') myf.write(' # Wss Wsp Wsd Wps Wpp Wpd Wds Wdp Wdd\n') myf.write(' -0.016 -0.012 -0.003 -0.012 \ -0.029 -0.001 -0.003 -0.001 -0.015\n') myf.write(' }\n') elif (i == 'Ni' or i == 'NI'): myf.write(' Ni={\n') myf.write(' # Wss Wsp Wsd Wps Wpp Wpd Wds Wdp Wdd\n') myf.write(' -0.016 -0.012 -0.003 -0.012 \ -0.022 -0.001 -0.003 -0.001 -0.018\n') myf.write(' }\n') else: print 'Missing spin polarisation parameters for species'+i raise RuntimeError, \ 'Run spin unpolarised calculation' myf.write(' }\n') else: #myf.write(' SpinPolarisation = {}') myf.write(' # No spin polarisation\n') myf.write(' Filling = Fermi {\n') myf.write(' Temperature [Kelvin] = ') myf.write('%10.6f\n' % (self.fermi_temperature)) myf.write(' }\n') if periodic: myf.write(' KPointsAndWeights = SupercellFolding { \n') myf.write('%6d %6d %6d \n' % (self.kpt_n11, self.kpt_n12, self.kpt_n13)) myf.write('%6d %6d %6d \n' % (self.kpt_n21, self.kpt_n22, self.kpt_n23)) myf.write('%6d %6d %6d \n' % (self.kpt_n31, self.kpt_n32, self.kpt_n33)) myf.write(' %10.6f %10.6f %10.6f \n' % (self.kpt_s1, self.kpt_s2, self.kpt_s3)) myf.write(' }\n') #Dispersion parameters if (self.include_dispersion): myf.write('Dispersion = SlaterKirkwood {\n') myf.write(' PolarRadiusCharge = HybridDependentPol {\n') myf.write('\n') myf.write(' C={\n') myf.write(' CovalentRadius [Angstrom] = 0.8\n') myf.write(' HybridPolarisations [Angstrom^3,Angstrom,] = {\n') myf.write(' 1.382 1.382 1.382 \ 1.064 1.064 1.064 3.8 3.8 3.8 3.8 3.8 3.8 2.5\n') myf.write(' }\n') myf.write(' }\n') myf.write('\n') myf.write(' N={\n') myf.write(' CovalentRadius [Angstrom] = 0.8\n') myf.write(' HybridPolarisations [Angstrom^3,Angstrom,] = {\n') myf.write(' 1.030 1.030 1.090 1.090 1.090 1.090 \ 3.8 3.8 3.8 3.8 3.8 3.8 2.82\n') myf.write(' }\n') myf.write(' }\n') myf.write('\n') myf.write(' O={\n') myf.write(' CovalentRadius [Angstrom] = 0.8\n') myf.write(' HybridPolarisations [Angstrom^3,Angstrom,] = {\n') myf.write(' # All polarisabilities and radii set the same\n') myf.write(' 0.560 0.560 0.000 0.000 0.000 0.000 \ 3.8 3.8 3.8 3.8 3.8 3.8 3.15\n') myf.write(' }\n') myf.write(' }\n') myf.write('\n') myf.write(' H={\n') myf.write(' CovalentRadius [Angstrom] = 0.4\n') myf.write(' HybridPolarisations [Angstrom^3,Angstrom,] = {\n') myf.write(' # Different polarisabilities depending on the hybridisation\n') myf.write(' 0.386 0.396 0.000 0.000 0.000 0.000 \ 3.5 3.5 3.5 3.5 3.5 3.5 0.8\n') myf.write(' }\n') myf.write(' }\n') myf.write('\n') myf.write(' P={\n') myf.write(' CovalentRadius [Angstrom] = 0.9\n') myf.write(' HybridPolarisations [Angstrom^3,Angstrom,] = {\n') myf.write(' # Different polarisabilities depending \ on the hybridisation\n') myf.write(' 1.600 1.600 1.600 1.600 1.600 1.600 \ 4.7 4.7 4.7 4.7 4.7 4.7 4.50\n') myf.write(' }\n') myf.write(' }\n') myf.write('\n') myf.write(' S={\n') myf.write(' CovalentRadius [Angstrom] = 0.9\n') myf.write(' HybridPolarisations [Angstrom^3,Angstrom,] = {\n') myf.write(' # Different polarisabilities depending \ on the hybridisation\n') myf.write(' 3.000 3.000 3.000 3.000 3.000 3.000 \ 4.7 4.7 4.7 4.7 4.7 4.7 4.80\n') myf.write(' }\n') myf.write(' }\n') myf.write(' }\n') myf.write('}\n') myf.write('}\n') myf.write('Options = {}\n') myf.write('ParserOptions = {\n') myf.write(' ParserVersion = 3\n') myf.write('}\n') myf.close() def change_atom_positions_dftb(self, atoms): """Write coordinates in DFTB+ input file dftb_in.hsd """ filename = 'dftb_in.hsd' myf = open(filename) lines = myf.readlines() myf.close() myf = open(filename, 'w') coord = atoms.get_positions().copy() start_writing_coords = False stop_writing_coords = False i = 0 for line in lines: if ('TypesAndCoordinates' in line): start_writing_coords = True if (start_writing_coords and not(stop_writing_coords)): if ('}' in line): stop_writing_coords = True if (start_writing_coords and not(stop_writing_coords)and not ('TypesAndCoordinates' in line)): atom_type_index = line.split()[0] myf.write('%6s %20.14f %20.14f %20.14f \n' % (atom_type_index,coord[i][0],coord[i][1],coord[i][2])) i = i + 1 else: myf.write(line) myf.close() python-ase-3.6.0.2515/ase/calculators/vasp.py0000644000175400017540000017644411720727221017630 0ustar askhlaskhl# Copyright (C) 2008 CSC - Scientific Computing Ltd. """This module defines an ASE interface to VASP. Developed on the basis of modules by Jussi Enkovaara and John Kitchin. The path of the directory containing the pseudopotential directories (potpaw,potpaw_GGA, potpaw_PBE, ...) should be set by the environmental flag $VASP_PP_PATH. The user should also set the environmental flag $VASP_SCRIPT pointing to a python script looking something like:: import os exitcode = os.system('vasp') Alternatively, user can set the environmental flag $VASP_COMMAND pointing to the command use the launch vasp e.g. 'vasp' or 'mpirun -n 16 vasp' http://cms.mpi.univie.ac.at/vasp/ -Jonas Bjork j.bjork@liverpool.ac.uk """ import os import sys import re from general import Calculator from os.path import join, isfile, islink import numpy as np import ase # Parameters that can be set in INCAR. The values which are None # are not written and default parameters of VASP are used for them. float_keys = [ 'aexx', # Fraction of exact/DFT exchange 'aggac', # Fraction of gradient correction to correlation 'aggax', # Fraction of gradient correction to exchange 'aldac', # Fraction of LDA correlation energy 'amin', # 'amix', # 'amix_mag', # 'bmix', # tags for mixing 'bmix_mag', # 'deper', # relative stopping criterion for optimization of eigenvalue 'ebreak', # absolute stopping criterion for optimization of eigenvalues (EDIFF/N-BANDS/4) 'emax', # energy-range for DOSCAR file 'emin', # 'enaug', # Density cutoff 'encut', # Planewave cutoff 'encutfock', # FFT grid in the HF related routines 'hfscreen', # attribute to change from PBE0 to HSE 'potim', # time-step for ion-motion (fs) 'nelect', # total number of electrons 'param1', # Exchange parameter 'param2', # Exchange parameter 'pomass', # mass of ions in am 'sigma', # broadening in eV 'time', # special control tag 'weimin', # maximum weight for a band to be considered empty 'zab_vdw', # vdW-DF parameter 'zval', # ionic valence #The next keywords pertain to the VTST add-ons from Graeme Henkelman's group at UT Austin 'jacobian', # Weight of lattice to atomic motion 'ddr', # (DdR) dimer separation 'drotmax', # (DRotMax) number of rotation steps per translation step 'dfnmin', # (DFNMin) rotational force below which dimer is not rotated 'dfnmax', # (DFNMax) rotational force below which dimer rotation stops 'stol', # convergence ratio for minimum eigenvalue 'sdr', # finite difference for setting up Lanczos matrix and step size when translating 'maxmove', # Max step for translation for IOPT > 0 'invcurve', # Initial curvature for LBFGS (IOPT = 1) 'timestep', # Dynamical timestep for IOPT = 3 and IOPT = 7 'sdalpha', # Ratio between force and step size for IOPT = 4 #The next keywords pertain to IOPT = 7 (i.e. FIRE) 'ftimemax', # Max time step 'ftimedec', # Factor to dec. dt 'ftimeinc', # Factor to inc. dt 'falpha', # Parameter for velocity damping 'falphadec', # Factor to dec. alpha ] exp_keys = [ 'ediff', # stopping-criterion for electronic upd. 'ediffg', # stopping-criterion for ionic upd. 'symprec', # precession in symmetry routines #The next keywords pertain to the VTST add-ons from Graeme Henkelman's group at UT Austin 'fdstep', # Finite diference step for IOPT = 1 or 2 ] string_keys = [ 'algo', # algorithm: Normal (Davidson) | Fast | Very_Fast (RMM-DIIS) 'gga', # xc-type: PW PB LM or 91 'prec', # Precission of calculation (Low, Normal, Accurate) 'system', # name of System 'tebeg', # 'teend', # temperature during run ] int_keys = [ 'ialgo', # algorithm: use only 8 (CG) or 48 (RMM-DIIS) 'ibrion', # ionic relaxation: 0-MD 1-quasi-New 2-CG 'icharg', # charge: 0-WAVECAR 1-CHGCAR 2-atom 10-const 'idipol', # monopol/dipol and quadropole corrections 'iniwav', # initial electr wf. : 0-lowe 1-rand 'isif', # calculate stress and what to relax 'ismear', # part. occupancies: -5 Blochl -4-tet -1-fermi 0-gaus >0 MP 'ispin', # spin-polarized calculation 'istart', # startjob: 0-new 1-cont 2-samecut 'isym', # symmetry: 0-nonsym 1-usesym 2-usePAWsym 'iwavpr', # prediction of wf.: 0-non 1-charg 2-wave 3-comb 'ldauprint', # 0-silent, 1-occ. matrix written to OUTCAR, 2-1+pot. matrix written 'ldautype', # L(S)DA+U: 1-Liechtenstein 2-Dudarev 4-Liechtenstein(LDAU) 'lmaxmix', # 'lorbit', # create PROOUT 'maxmix', # 'ngx', # FFT mesh for wavefunctions, x 'ngxf', # FFT mesh for charges x 'ngy', # FFT mesh for wavefunctions, y 'ngyf', # FFT mesh for charges y 'ngz', # FFT mesh for wavefunctions, z 'ngzf', # FFT mesh for charges z 'nbands', # Number of bands 'nblk', # blocking for some BLAS calls (Sec. 6.5) 'nbmod', # specifies mode for partial charge calculation 'nelm', # nr. of electronic steps (default 60) 'nelmdl', # nr. of initial electronic steps 'nelmin', 'nfree', # number of steps per DOF when calculting Hessian using finitite differences 'nkred', # define sub grid of q-points for HF with nkredx=nkredy=nkredz 'nkredx', # define sub grid of q-points in x direction for HF 'nkredy', # define sub grid of q-points in y direction for HF 'nkredz', # define sub grid of q-points in z direction for HF 'npar', # parallelization over bands 'nsim', # evaluate NSIM bands simultaneously if using RMM-DIIS 'nsw', # number of steps for ionic upd. 'nupdown', # fix spin moment to specified value 'nwrite', # verbosity write-flag (how much is written) 'smass', # Nose mass-parameter (am) 'vdwgr', # extra keyword for Andris program 'vdwrn', # extra keyword for Andris program 'voskown', # use Vosko, Wilk, Nusair interpolation #The next keywords pertain to the VTST add-ons from Graeme Henkelman's group at UT Austin 'ichain', # Flag for controlling which method is being used (0=NEB, 1=DynMat, 2=Dimer, 3=Lanczos) # if ichain > 3, then both IBRION and POTIM are automatically set in the INCAR file 'iopt', # Controls which optimizer to use. for iopt > 0, ibrion = 3 and potim = 0.0 'snl', # Maximum dimentionality of the Lanczos matrix 'lbfgsmem', # Steps saved for inverse Hessian for IOPT = 1 (LBFGS) 'fnmin', # Max iter. before adjusting dt and alpha for IOPT = 7 (FIRE) ] bool_keys = [ 'addgrid', # finer grid for augmentation charge density 'laechg', # write AECCAR0/AECCAR1/AECCAR2 'lasph', # non-spherical contributions to XC energy (and pot for VASP.5.X) 'lasync', # overlap communcation with calculations 'lcharg', # 'lcorr', # Harris-correction to forces 'ldau', # L(S)DA+U 'ldiag', # algorithm: perform sub space rotation 'ldipol', # potential correction mode 'lelf', # create ELFCAR 'lhfcalc', # switch to turn on Hartree Fock calculations 'loptics', # calculate the frequency dependent dielectric matrix 'lpard', # evaluate partial (band and/or k-point) decomposed charge density 'lplane', # parallelisation over the FFT grid 'lscalapack', # switch off scaLAPACK 'lscalu', # switch of LU decomposition 'lsepb', # write out partial charge of each band seperately? 'lsepk', # write out partial charge of each k-point seperately? 'lthomas', # 'luse_vdw', # Invoke vdW-DF implementation by Klimes et. al 'lvhar', # write Hartree potential to LOCPOT (vasp 5.x) 'lvtot', # create WAVECAR/CHGCAR/LOCPOT 'lwave', # #The next keywords pertain to the VTST add-ons from Graeme Henkelman's group at UT Austin 'lclimb', # Turn on CI-NEB 'ltangentold', # Old central difference tangent 'ldneb', # Turn on modified double nudging 'lnebcell', # Turn on SS-NEB 'lglobal', # Optmizize NEB globally for LBFGS (IOPT = 1) 'llineopt', # Use force based line minimizer for translation (IOPT = 1) ] list_keys = [ 'dipol', # center of cell for dipol 'eint', # energy range to calculate partial charge for 'ferwe', # Fixed band occupation (spin-paired) 'ferdo', # Fixed band occupation (spin-plarized) 'iband', # bands to calculate partial charge for 'magmom', # initial magnetic moments 'kpuse', # k-point to calculate partial charge for 'ropt', # number of grid points for non-local proj in real space 'rwigs', # Wigner-Seitz radii 'ldauu', # ldau parameters, has potential to redundant w.r.t. dict 'ldaul', # key 'ldau_luj', but 'ldau_luj' can't be read direct from 'ldauj', # the INCAR (since it needs to know information about atomic # species. In case of conflict 'ldau_luj' gets written out # when a calculation is set up ] special_keys = [ 'lreal', # non-local projectors in real space ] dict_keys = [ 'ldau_luj', # dictionary with L(S)DA+U parameters, e.g. {'Fe':{'L':2, 'U':4.0, 'J':0.9}, ...} ] keys = [ # 'NBLOCK' and KBLOCK inner block; outer block # 'NPACO' and APACO distance and nr. of slots for P.C. # 'WEIMIN, EBREAK, DEPER special control tags ] class Vasp(Calculator): def __init__(self, restart=None, output_template='vasp', track_output=False, **kwargs): self.name = 'Vasp' self.float_params = {} self.exp_params = {} self.string_params = {} self.int_params = {} self.bool_params = {} self.list_params = {} self.special_params = {} self.dict_params = {} for key in float_keys: self.float_params[key] = None for key in exp_keys: self.exp_params[key] = None for key in string_keys: self.string_params[key] = None for key in int_keys: self.int_params[key] = None for key in bool_keys: self.bool_params[key] = None for key in list_keys: self.list_params[key] = None for key in special_keys: self.special_params[key] = None for key in dict_keys: self.dict_params[key] = None self.string_params['prec'] = 'Normal' if kwargs.get('xc', None): if kwargs['xc'] not in ['PW91','LDA','PBE']: raise ValueError( '%s not supported for xc! use one of: PW91, LDA or PBE.' % kwargs['xc']) self.input_params = {'xc': kwargs['xc']} # exchange correlation functional else: self.input_params = {'xc': 'PW91'} # exchange correlation functional self.input_params.update({ 'setups': None, # Special setups (e.g pv, sv, ...) 'txt': '-', # Where to send information 'kpts': (1,1,1), # k-points 'gamma': False, # Option to use gamma-sampling instead # of Monkhorst-Pack }) self.restart = restart self.track_output = track_output self.output_template = output_template if restart: self.restart_load() return self.nbands = self.int_params['nbands'] self.atoms = None self.positions = None self.run_counts = 0 self.set(**kwargs) def set(self, **kwargs): for key in kwargs: if self.float_params.has_key(key): self.float_params[key] = kwargs[key] elif self.exp_params.has_key(key): self.exp_params[key] = kwargs[key] elif self.string_params.has_key(key): self.string_params[key] = kwargs[key] elif self.int_params.has_key(key): self.int_params[key] = kwargs[key] elif self.bool_params.has_key(key): self.bool_params[key] = kwargs[key] elif self.list_params.has_key(key): self.list_params[key] = kwargs[key] elif self.special_params.has_key(key): self.special_params[key] = kwargs[key] elif self.dict_params.has_key(key): self.dict_params[key] = kwargs[key] elif self.input_params.has_key(key): self.input_params[key] = kwargs[key] else: raise TypeError('Parameter not defined: ' + key) def update(self, atoms): if self.calculation_required(atoms, ['energy']): if (self.atoms is None or self.atoms.positions.shape != atoms.positions.shape): # Completely new calculation just reusing the same # calculator, so delete any old VASP files found. self.clean() self.calculate(atoms) def initialize(self, atoms): """Initialize a VASP calculation Constructs the POTCAR file (does not actually write it). User should specify the PATH to the pseudopotentials in VASP_PP_PATH environment variable""" p = self.input_params self.all_symbols = atoms.get_chemical_symbols() self.natoms = len(atoms) self.spinpol = atoms.get_initial_magnetic_moments().any() atomtypes = atoms.get_chemical_symbols() # Determine the number of atoms of each atomic species # sorted after atomic species special_setups = [] symbols = {} if self.input_params['setups']: for m in self.input_params['setups']: try : #special_setup[self.input_params['setups'][m]] = int(m) special_setups.append(int(m)) except: #print 'setup ' + m + ' is a groups setup' continue #print 'special_setups' , special_setups for m,atom in enumerate(atoms): symbol = atom.symbol if m in special_setups: pass else: if not symbols.has_key(symbol): symbols[symbol] = 1 else: symbols[symbol] += 1 # Build the sorting list self.sort = [] self.sort.extend(special_setups) for symbol in symbols: for m,atom in enumerate(atoms): if m in special_setups: pass else: if atom.symbol == symbol: self.sort.append(m) self.resort = range(len(self.sort)) for n in range(len(self.resort)): self.resort[self.sort[n]] = n self.atoms_sorted = atoms[self.sort] # Check if the necessary POTCAR files exists and # create a list of their paths. self.symbol_count = [] for m in special_setups: self.symbol_count.append([atomtypes[m],1]) for m in symbols: self.symbol_count.append([m,symbols[m]]) #print 'self.symbol_count',self.symbol_count sys.stdout.flush() xc = '/' #print 'p[xc]',p['xc'] if p['xc'] == 'PW91': xc = '_gga/' elif p['xc'] == 'PBE': xc = '_pbe/' if 'VASP_PP_PATH' in os.environ: pppaths = os.environ['VASP_PP_PATH'].split(':') else: pppaths = [] self.ppp_list = [] # Setting the pseudopotentials, first special setups and # then according to symbols for m in special_setups: name = 'potpaw'+xc.upper() + p['setups'][str(m)] + '/POTCAR' found = False for path in pppaths: filename = join(path, name) #print 'filename', filename if isfile(filename) or islink(filename): found = True self.ppp_list.append(filename) break elif isfile(filename + '.Z') or islink(filename + '.Z'): found = True self.ppp_list.append(filename+'.Z') break if not found: raise RuntimeError('No pseudopotential for %s!' % symbol) #print 'symbols', symbols for symbol in symbols: try: name = 'potpaw'+xc.upper()+symbol + p['setups'][symbol] except (TypeError, KeyError): name = 'potpaw' + xc.upper() + symbol name += '/POTCAR' found = False for path in pppaths: filename = join(path, name) #print 'filename', filename if isfile(filename) or islink(filename): found = True self.ppp_list.append(filename) break elif isfile(filename + '.Z') or islink(filename + '.Z'): found = True self.ppp_list.append(filename+'.Z') break if not found: raise RuntimeError('No pseudopotential for %s!' % symbol) self.converged = None self.setups_changed = None def calculate(self, atoms): """Generate necessary files in the working directory and run VASP. The method first write VASP input files, then calls the method which executes VASP. When the VASP run is finished energy, forces, etc. are read from the VASP output. """ # Initialize calculations self.initialize(atoms) # Write input from ase.io.vasp import write_vasp write_vasp('POSCAR', self.atoms_sorted, symbol_count = self.symbol_count) self.write_incar(atoms) self.write_potcar() self.write_kpoints() self.write_sort_file() # Execute VASP self.run() # Read output atoms_sorted = ase.io.read('CONTCAR', format='vasp') if self.int_params['ibrion']>-1 and self.int_params['nsw']>0: # Update atomic positions and unit cell with the ones read from CONTCAR. atoms.positions = atoms_sorted[self.resort].positions atoms.cell = atoms_sorted.cell self.converged = self.read_convergence() self.set_results(atoms) def set_results(self, atoms): self.read(atoms) if self.spinpol: self.magnetic_moment = self.read_magnetic_moment() if self.int_params['lorbit']>=10 or (self.int_params['lorbit']!=None and self.list_params['rwigs']): self.magnetic_moments = self.read_magnetic_moments(atoms) else: self.magnetic_moments = None self.old_float_params = self.float_params.copy() self.old_exp_params = self.exp_params.copy() self.old_string_params = self.string_params.copy() self.old_int_params = self.int_params.copy() self.old_input_params = self.input_params.copy() self.old_bool_params = self.bool_params.copy() self.old_list_params = self.list_params.copy() self.old_dict_params = self.dict_params.copy() self.atoms = atoms.copy() self.name = 'vasp' self.version = self.read_version() self.niter = self.read_number_of_iterations() self.sigma = self.read_electronic_temperature() self.nelect = self.read_number_of_electrons() def run(self): """Method which explicitely runs VASP.""" if self.track_output: self.out = self.output_template+str(self.run_counts)+'.out' self.run_counts += 1 else: self.out = self.output_template+'.out' stderr = sys.stderr p=self.input_params if p['txt'] is None: sys.stderr = devnull elif p['txt'] == '-': pass elif isinstance(p['txt'], str): sys.stderr = open(p['txt'], 'w') if os.environ.has_key('VASP_COMMAND'): vasp = os.environ['VASP_COMMAND'] exitcode = os.system('%s > %s' % (vasp, self.out)) elif os.environ.has_key('VASP_SCRIPT'): vasp = os.environ['VASP_SCRIPT'] locals={} execfile(vasp, {}, locals) exitcode = locals['exitcode'] else: raise RuntimeError('Please set either VASP_COMMAND or VASP_SCRIPT environment variable') sys.stderr = stderr if exitcode != 0: raise RuntimeError('Vasp exited with exit code: %d. ' % exitcode) def restart_load(self): """Method which is called upon restart.""" # Try to read sorting file if os.path.isfile('ase-sort.dat'): self.sort = [] self.resort = [] file = open('ase-sort.dat', 'r') lines = file.readlines() file.close() for line in lines: data = line.split() self.sort.append(int(data[0])) self.resort.append(int(data[1])) atoms = ase.io.read('CONTCAR', format='vasp')[self.resort] else: atoms = ase.io.read('CONTCAR', format='vasp') self.sort = range(len(atoms)) self.resort = range(len(atoms)) self.atoms = atoms.copy() self.read_incar() self.read_outcar() self.set_results(atoms) self.read_kpoints() self.read_potcar() # self.old_incar_params = self.incar_params.copy() self.old_input_params = self.input_params.copy() self.converged = self.read_convergence() def clean(self): """Method which cleans up after a calculation. The default files generated by Vasp will be deleted IF this method is called. """ files = ['CHG', 'CHGCAR', 'POSCAR', 'INCAR', 'CONTCAR', 'DOSCAR', 'EIGENVAL', 'IBZKPT', 'KPOINTS', 'OSZICAR', 'OUTCAR', 'PCDAT', 'POTCAR', 'vasprun.xml', 'WAVECAR', 'XDATCAR', 'PROCAR', 'ase-sort.dat', 'LOCPOT', 'AECCAR0', 'AECCAR1', 'AECCAR2'] for f in files: try: os.remove(f) except OSError: pass def set_atoms(self, atoms): if (atoms != self.atoms): self.converged = None self.atoms = atoms.copy() def get_atoms(self): atoms = self.atoms.copy() atoms.set_calculator(self) return atoms def get_name(self): return self.name def get_version(self): self.update(self.atoms) return self.version def read_version(self): version = None for line in open('OUTCAR'): if line.find(' vasp.') != -1: # find the first occurence version = line[len(' vasp.'):].split()[0] break return version def get_potential_energy(self, atoms, force_consistent=False): self.update(atoms) if force_consistent: return self.energy_free else: return self.energy_zero def get_number_of_iterations(self): self.update(self.atoms) return self.niter def read_number_of_iterations(self): niter = None for line in open('OUTCAR'): if line.find('- Iteration') != -1: # find the last iteration number niter = int(line.split(')')[0].split('(')[-1].strip()) return niter def get_electronic_temperature(self): self.update(self.atoms) return self.sigma def read_electronic_temperature(self): sigma = None for line in open('OUTCAR'): if line.find('Fermi-smearing in eV SIGMA') != -1: sigma = float(line.split('=')[1].strip()) return sigma def get_default_number_of_electrons(self, filename='POTCAR'): """Get list of tuples (atomic symbol, number of valence electrons) for each atomtype from a POTCAR file. """ return self.read_default_number_of_electrons(filename) def read_default_number_of_electrons(self, filename='POTCAR'): nelect = [] lines = open(filename).readlines() for n, line in enumerate(lines): if line.find('TITEL') != -1: symbol = line.split('=')[1].split()[1].split('_')[0].strip() valence = float(lines[n+4].split(';')[1].split('=')[1].split()[0].strip()) nelect.append((symbol, valence)) return nelect def get_number_of_electrons(self): self.update(self.atoms) return self.nelect def read_number_of_electrons(self): nelect = None for line in open('OUTCAR'): if line.find('total number of electrons') != -1: nelect = float(line.split('=')[1].split()[0].strip()) return nelect def get_forces(self, atoms): self.update(atoms) return self.forces def get_stress(self, atoms): self.update(atoms) return self.stress def read_stress(self): stress = None for line in open('OUTCAR'): if line.find(' in kB ') != -1: stress = -np.array([float(a) for a in line.split()[2:]]) \ [[0, 1, 2, 4, 5, 3]] \ * 1e-1 * ase.units.GPa return stress def read_ldau(self): ldau_luj = None ldauprint = None ldau = None ldautype = None atomtypes = [] # read ldau parameters from outcar for line in open('OUTCAR'): if line.find('TITEL') != -1: # What atoms are present atomtypes.append(line.split()[3].split('_')[0].split('.')[0]) if line.find('LDAUTYPE') != -1: # Is this a DFT+U calculation ldautype = int(line.split('=')[-1]) ldau = True ldau_luj = {} if line.find('LDAUL') != -1: L = line.split('=')[-1].split() if line.find('LDAUU') != -1: U = line.split('=')[-1].split() if line.find('LDAUJ') != -1: J = line.split('=')[-1].split() # create dictionary if ldau: for i,symbol in enumerate(atomtypes): ldau_luj[symbol] = {'L': int(L[i]), 'U': float(U[i]), 'J': float(J[i])} self.dict_params['ldau_luj'] = ldau_luj return ldau, ldauprint, ldautype, ldau_luj def calculation_required(self, atoms, quantities): if (self.positions is None or (self.atoms != atoms) or (self.float_params != self.old_float_params) or (self.exp_params != self.old_exp_params) or (self.string_params != self.old_string_params) or (self.int_params != self.old_int_params) or (self.bool_params != self.old_bool_params) or (self.list_params != self.old_list_params) or (self.input_params != self.old_input_params) or (self.dict_params != self.old_dict_params) or not self.converged): return True if 'magmom' in quantities: return not hasattr(self, 'magnetic_moment') return False def get_number_of_bands(self): return self.nbands def get_k_point_weights(self): self.update(self.atoms) return self.read_k_point_weights() def get_number_of_spins(self): return 1 + int(self.spinpol) def get_eigenvalues(self, kpt=0, spin=0): self.update(self.atoms) return self.read_eigenvalues(kpt, spin) def get_occupation_numbers(self, kpt=0, spin=0): self.update(self.atoms) return self.read_occupation_numbers(kpt, spin) def get_fermi_level(self): return self.fermi def get_number_of_grid_points(self): raise NotImplementedError def get_pseudo_density(self): raise NotImplementedError def get_pseudo_wavefunction(self, n=0, k=0, s=0, pad=True): raise NotImplementedError def get_bz_k_points(self): raise NotImplementedError def get_ibz_kpoints(self): self.update(self.atoms) return self.read_ibz_kpoints() def get_ibz_k_points(self): return self.get_ibz_kpoints() def get_spin_polarized(self): if not hasattr(self, 'spinpol'): self.spinpol = self.atoms.get_initial_magnetic_moments().any() return self.spinpol def get_magnetic_moment(self, atoms): self.update(atoms) return self.magnetic_moment def get_magnetic_moments(self, atoms): if self.int_params['lorbit']>=10 or self.list_params['rwigs']: self.update(atoms) return self.magnetic_moments else: return None #raise RuntimeError( # "The combination %s for lorbit with %s for rwigs not supported to calculate magnetic moments" % (p['lorbit'], p['rwigs'])) def get_dipole_moment(self, atoms): """Returns total dipole moment of the system.""" self.update(atoms) return self.dipole def get_xc_functional(self): return self.input_params['xc'] def write_incar(self, atoms, **kwargs): """Writes the INCAR file.""" incar = open('INCAR', 'w') incar.write('INCAR created by Atomic Simulation Environment\n') for key, val in self.float_params.items(): if val is not None: incar.write(' %s = %5.6f\n' % (key.upper(), val)) for key, val in self.exp_params.items(): if val is not None: incar.write(' %s = %5.2e\n' % (key.upper(), val)) for key, val in self.string_params.items(): if val is not None: incar.write(' %s = %s\n' % (key.upper(), val)) for key, val in self.int_params.items(): if val is not None: incar.write(' %s = %d\n' % (key.upper(), val)) if key == 'ichain' and val > 0: incar.write(' IBRION = 3\n POTIM = 0.0\n') for key, val in self.int_params.items(): if key == 'iopt' and val == None: print 'WARNING: optimization is set to LFBGS (IOPT = 1)' incar.write(' IOPT = 1\n') for key, val in self.exp_params.items(): if key == 'ediffg' and val == None: RuntimeError('Please set EDIFFG < 0') for key, val in self.list_params.items(): if val is not None: incar.write(' %s = ' % key.upper()) if key in ('dipol', 'eint', 'ropt', 'rwigs'): [incar.write('%.4f ' % x) for x in val] elif key in ('ldauu', 'ldauj', 'ldaul') and \ not self.dict_keys.has('ldau_luj'): [incar.write('%.4f ' % x) for x in val] elif key in ('ferwe', 'ferdo'): [incar.write('%.1f ' % x) for x in val] elif key in ('iband', 'kpuse'): [incar.write('%i ' % x) for x in val] elif key == 'magmom': list = [[1, val[0]]] for n in range(1, len(val)): if val[n] == val[n-1]: list[-1][0] += 1 else: list.append([1, val[n]]) [incar.write('%i*%.4f ' % (mom[0], mom[1])) for mom in list] incar.write('\n') for key, val in self.bool_params.items(): if val is not None: incar.write(' %s = ' % key.upper()) if val: incar.write('.TRUE.\n') else: incar.write('.FALSE.\n') for key, val in self.special_params.items(): if val is not None: incar.write(' %s = ' % key.upper()) if key == 'lreal': if type(val) == str: incar.write(val+'\n') elif type(val) == bool: if val: incar.write('.TRUE.\n') else: incar.write('.FALSE.\n') for key, val in self.dict_params.items(): if val is not None: if key == 'ldau_luj': llist = ulist = jlist = '' for symbol in self.symbol_count: luj = val.get(symbol[0], {'L':-1, 'U': 0.0, 'J': 0.0}) # default: No +U llist += ' %i' % luj['L'] ulist += ' %.3f' % luj['U'] jlist += ' %.3f' % luj['J'] incar.write(' LDAUL =%s\n' % llist) incar.write(' LDAUU =%s\n' % ulist) incar.write(' LDAUJ =%s\n' % jlist) if self.spinpol: if not self.int_params['ispin']: incar.write(' ispin = 2\n'.upper()) # Write out initial magnetic moments magmom = atoms.get_initial_magnetic_moments()[self.sort] list = [[1, magmom[0]]] for n in range(1, len(magmom)): if magmom[n] == magmom[n-1]: list[-1][0] += 1 else: list.append([1, magmom[n]]) incar.write(' magmom = '.upper()) [incar.write('%i*%.4f ' % (mom[0], mom[1])) for mom in list] incar.write('\n') incar.close() def write_kpoints(self, **kwargs): """Writes the KPOINTS file.""" p = self.input_params kpoints = open('KPOINTS', 'w') kpoints.write('KPOINTS created by Atomic Simulation Environemnt\n') shape=np.array(p['kpts']).shape if len(shape)==1: kpoints.write('0\n') if p['gamma']: kpoints.write('Gamma\n') else: kpoints.write('Monkhorst-Pack\n') [kpoints.write('%i ' % kpt) for kpt in p['kpts']] kpoints.write('\n0 0 0\n') elif len(shape)==2: kpoints.write('%i \n' % (len(p['kpts']))) kpoints.write('Cartesian\n') for n in range(len(p['kpts'])): [kpoints.write('%f ' % kpt) for kpt in p['kpts'][n]] if shape[1]==4: kpoints.write('\n') elif shape[1]==3: kpoints.write('1.0 \n') kpoints.close() def write_potcar(self,suffix = ""): """Writes the POTCAR file.""" import tempfile potfile = open('POTCAR'+suffix,'w') for filename in self.ppp_list: if filename.endswith('R'): for line in open(filename, 'r'): potfile.write(line) elif filename.endswith('.Z'): file_tmp = tempfile.NamedTemporaryFile() os.system('gunzip -c %s > %s' % (filename, file_tmp.name)) for line in file_tmp.readlines(): potfile.write(line) file_tmp.close() potfile.close() def write_sort_file(self): """Writes a sortings file. This file contains information about how the atoms are sorted in the first column and how they should be resorted in the second column. It is used for restart purposes to get sorting right when reading in an old calculation to ASE.""" file = open('ase-sort.dat', 'w') for n in range(len(self.sort)): file.write('%5i %5i \n' % (self.sort[n], self.resort[n])) # Methods for reading information from OUTCAR files: def read_energy(self, all=None): [energy_free, energy_zero]=[0, 0] if all: energy_free = [] energy_zero = [] for line in open('OUTCAR', 'r'): # Free energy if line.lower().startswith(' free energy toten'): if all: energy_free.append(float(line.split()[-2])) else: energy_free = float(line.split()[-2]) # Extrapolated zero point energy if line.startswith(' energy without entropy'): if all: energy_zero.append(float(line.split()[-1])) else: energy_zero = float(line.split()[-1]) return [energy_free, energy_zero] def read_forces(self, atoms, all=False): """Method that reads forces from OUTCAR file. If 'all' is switched on, the forces for all ionic steps in the OUTCAR file be returned, in other case only the forces for the last ionic configuration is returned.""" file = open('OUTCAR','r') lines = file.readlines() file.close() n=0 if all: all_forces = [] for line in lines: if line.rfind('TOTAL-FORCE') > -1: forces=[] for i in range(len(atoms)): forces.append(np.array([float(f) for f in lines[n+2+i].split()[3:6]])) if all: all_forces.append(np.array(forces)[self.resort]) n+=1 if all: return np.array(all_forces) else: return np.array(forces)[self.resort] def read_fermi(self): """Method that reads Fermi energy from OUTCAR file""" E_f=None for line in open('OUTCAR', 'r'): if line.rfind('E-fermi') > -1: E_f=float(line.split()[2]) return E_f def read_dipole(self): dipolemoment=np.zeros([1,3]) for line in open('OUTCAR', 'r'): if line.rfind('dipolmoment') > -1: dipolemoment=np.array([float(f) for f in line.split()[1:4]]) return dipolemoment def read_magnetic_moments(self, atoms): magnetic_moments = np.zeros(len(atoms)) n = 0 lines = open('OUTCAR', 'r').readlines() for line in lines: if line.rfind('magnetization (x)') > -1: for m in range(len(atoms)): magnetic_moments[m] = float(lines[n + m + 4].split()[4]) n += 1 return np.array(magnetic_moments)[self.resort] def read_magnetic_moment(self): n=0 for line in open('OUTCAR','r'): if line.rfind('number of electron ') > -1: magnetic_moment=float(line.split()[-1]) n+=1 return magnetic_moment def read_nbands(self): for line in open('OUTCAR', 'r'): if line.rfind('NBANDS') > -1: return int(line.split()[-1]) def read_convergence(self): """Method that checks whether a calculation has converged.""" converged = None # First check electronic convergence for line in open('OUTCAR', 'r'): if line.rfind('EDIFF ') > -1: ediff = float(line.split()[2]) if line.rfind('total energy-change')>-1: split = line.split(':') a = float(split[1].split('(')[0]) b = float(split[1].split('(')[1][0:-2]) if [abs(a), abs(b)] < [ediff, ediff]: converged = True else: converged = False continue # Then if ibrion > 0, check whether ionic relaxation condition been fulfilled if self.int_params['ibrion'] > 0: if not self.read_relaxed(): converged = False else: converged = True return converged def read_ibz_kpoints(self): lines = open('OUTCAR', 'r').readlines() ibz_kpts = [] n = 0 i = 0 for line in lines: if line.rfind('Following cartesian coordinates')>-1: m = n+2 while i==0: ibz_kpts.append([float(lines[m].split()[p]) for p in range(3)]) m += 1 if lines[m]==' \n': i = 1 if i == 1: continue n += 1 ibz_kpts = np.array(ibz_kpts) return np.array(ibz_kpts) def read_k_point_weights(self): file = open('IBZKPT') lines = file.readlines() file.close() kpt_weights = [] for n in range(3, len(lines)): kpt_weights.append(float(lines[n].split()[3])) kpt_weights = np.array(kpt_weights) kpt_weights /= np.sum(kpt_weights) return kpt_weights def read_eigenvalues(self, kpt=0, spin=0): file = open('EIGENVAL', 'r') lines = file.readlines() file.close() eigs = [] for n in range(8+kpt*(self.nbands+2), 8+kpt*(self.nbands+2)+self.nbands): eigs.append(float(lines[n].split()[spin+1])) return np.array(eigs) def read_occupation_numbers(self, kpt=0, spin=0): lines = open('OUTCAR').readlines() nspins = self.get_number_of_spins() start = 0 if nspins == 1: for n, line in enumerate(lines): # find it in the last iteration m = re.search(' k-point *'+str(kpt+1)+' *:', line) if m is not None: start = n else: for n, line in enumerate(lines): if line.find(' spin component '+str(spin+1)) != -1: # find it in the last iteration start = n for n2, line2 in enumerate(lines[start:]): m = re.search(' k-point *'+str(kpt+1)+' *:', line2) if m is not None: start = start + n2 break for n2, line2 in enumerate(lines[start+2:]): if not line2.strip(): break occ = [] for line in lines[start+2:start+2+n2]: occ.append(float(line.split()[2])) return np.array(occ) def read_relaxed(self): for line in open('OUTCAR', 'r'): if line.rfind('reached required accuracy') > -1: return True return False # The below functions are used to restart a calculation and are under early constructions def read_incar(self, filename='INCAR'): """Method that imports settings from INCAR file.""" self.spinpol = False file=open(filename, 'r') file.readline() lines=file.readlines() for line in lines: try: # Make multiplications easier to spot line = line.replace("*", " * ") data = line.split() # Skip empty and commented lines. if len(data) == 0: continue elif data[0][0] in ['#', '!']: continue key = data[0].lower() if key in float_keys: self.float_params[key] = float(data[2]) elif key in exp_keys: self.exp_params[key] = float(data[2]) elif key in string_keys: self.string_params[key] = str(data[2]) elif key in int_keys: if key == 'ispin': if int(data[2]) == 2: self.spinpol = True else: self.int_params[key] = int(data[2]) elif key in bool_keys: if 'true' in data[2].lower(): self.bool_params[key] = True elif 'false' in data[2].lower(): self.bool_params[key] = False elif key in list_keys: list = [] if key in ('dipol', 'eint', 'ferwe', 'ropt', 'rwigs', 'ldauu', 'ldaul', 'ldauj'): for a in data[2:]: if a in ["!", "#"]: break list.append(float(a)) elif key in ('iband', 'kpuse'): for a in data[2:]: if a in ["!", "#"]: break list.append(int(a)) self.list_params[key] = list if key == 'magmom': list = [] i = 2 while i < len(data): if data[i] in ["#", "!"]: break if data[i] == "*": b = list.pop() i += 1 for j in range(int(b)): list.append(float(data[i])) else: list.append(float(data[i])) i += 1 self.list_params['magmom'] = list list = np.array(list) if self.atoms is not None: self.atoms.set_initial_magnetic_moments(list[self.resort]) except KeyError: raise IOError('Keyword "%s" in INCAR is not known by calculator.' % key) except IndexError: raise IOError('Value missing for keyword "%s".' % key) def read_outcar(self): # Spin polarized calculation? file = open('OUTCAR', 'r') lines = file.readlines() file.close() for line in lines: if line.rfind('ISPIN') > -1: if int(line.split()[2])==2: self.spinpol = True else: self.spinpol = None self.energy_free, self.energy_zero = self.read_energy() self.forces = self.read_forces(self.atoms) self.dipole = self.read_dipole() self.fermi = self.read_fermi() self.stress = self.read_stress() self.nbands = self.read_nbands() self.read_ldau() p=self.int_params q=self.list_params if self.spinpol: self.magnetic_moment = self.read_magnetic_moment() if p['lorbit']>=10 or (p['lorbit']!=None and q['rwigs']): self.magnetic_moments = self.read_magnetic_moments(self.atoms) else: self.magnetic_moments = None self.set(nbands=self.nbands) def read_kpoints(self, filename='KPOINTS'): file = open(filename, 'r') lines = file.readlines() file.close() ktype = lines[2].split()[0].lower()[0] if ktype in ['g', 'm']: if ktype=='g': self.set(gamma=True) kpts = np.array([int(lines[3].split()[i]) for i in range(3)]) self.set(kpts=kpts) elif ktype in ['c', 'k']: raise NotImplementedError('Only Monkhorst-Pack and gamma centered grid supported for restart.') else: raise NotImplementedError('Only Monkhorst-Pack and gamma centered grid supported for restart.') def read_potcar(self): """ Method that reads the Exchange Correlation functional from POTCAR file. """ file = open('POTCAR', 'r') lines = file.readlines() file.close() # Search for key 'LEXCH' in POTCAR xc_flag = None for line in lines: key = line.split()[0].upper() if key == 'LEXCH': xc_flag = line.split()[-1].upper() break if xc_flag is None: raise ValueError('LEXCH flag not found in POTCAR file.') # Values of parameter LEXCH and corresponding XC-functional xc_dict = {'PE':'PBE', '91':'PW91', 'CA':'LDA'} if xc_flag not in xc_dict.keys(): raise ValueError( 'Unknown xc-functional flag found in POTCAR, LEXCH=%s' % xc_flag) self.input_params['xc'] = xc_dict[xc_flag] class VaspChargeDensity(object): """Class for representing VASP charge density""" def __init__(self, filename='CHG'): # Instance variables self.atoms = [] # List of Atoms objects self.chg = [] # Charge density self.chgdiff = [] # Charge density difference, if spin polarized self.aug = '' # Augmentation charges, not parsed just a big string self.augdiff = '' # Augmentation charge differece, is spin polarized # Note that the augmentation charge is not a list, since they # are needed only for CHGCAR files which store only a single # image. if filename != None: self.read(filename) def is_spin_polarized(self): if len(self.chgdiff) > 0: return True return False def _read_chg(self, fobj, chg, volume): """Read charge from file object Utility method for reading the actual charge density (or charge density difference) from a file object. On input, the file object must be at the beginning of the charge block, on output the file position will be left at the end of the block. The chg array must be of the correct dimensions. """ # VASP writes charge density as # WRITE(IU,FORM) (((C(NX,NY,NZ),NX=1,NGXC),NY=1,NGYZ),NZ=1,NGZC) # Fortran nested implied do loops; innermost index fastest # First, just read it in for zz in range(chg.shape[2]): for yy in range(chg.shape[1]): chg[:, yy, zz] = np.fromfile(fobj, count = chg.shape[0], sep=' ') chg /= volume def read(self, filename='CHG'): """Read CHG or CHGCAR file. If CHG contains charge density from multiple steps all the steps are read and stored in the object. By default VASP writes out the charge density every 10 steps. chgdiff is the difference between the spin up charge density and the spin down charge density and is thus only read for a spin-polarized calculation. aug is the PAW augmentation charges found in CHGCAR. These are not parsed, they are just stored as a string so that they can be written again to a CHGCAR format file. """ import ase.io.vasp as aiv f = open(filename) self.atoms = [] self.chg = [] self.chgdiff = [] self.aug = '' self.augdiff = '' while True: try: atoms = aiv.read_vasp(f) except (IOError, ValueError, IndexError): # Probably an empty line, or we tried to read the # augmentation occupancies in CHGCAR break f.readline() ngr = f.readline().split() ng = (int(ngr[0]), int(ngr[1]), int(ngr[2])) chg = np.empty(ng) self._read_chg(f, chg, atoms.get_volume()) self.chg.append(chg) self.atoms.append(atoms) # Check if the file has a spin-polarized charge density part, and # if so, read it in. fl = f.tell() # First check if the file has an augmentation charge part (CHGCAR file.) line1 = f.readline() if line1=='': break elif line1.find('augmentation') != -1: augs = [line1] while True: line2 = f.readline() if line2.split() == ngr: self.aug = ''.join(augs) augs = [] chgdiff = np.empty(ng) self._read_chg(f, chgdiff, atoms.get_volume()) self.chgdiff.append(chgdiff) elif line2 == '': break else: augs.append(line2) if len(self.aug) == 0: self.aug = ''.join(augs) augs = [] else: self.augdiff = ''.join(augs) augs = [] elif line1.split() == ngr: chgdiff = np.empty(ng) self._read_chg(f, chgdiff, atoms.get_volume()) self.chgdiff.append(chgdiff) else: f.seek(fl) f.close() def _write_chg(self, fobj, chg, volume, format='chg'): """Write charge density Utility function similar to _read_chg but for writing. """ # Make a 1D copy of chg, must take transpose to get ordering right chgtmp=chg.T.ravel() # Multiply by volume chgtmp=chgtmp*volume # Must be a tuple to pass to string conversion chgtmp=tuple(chgtmp) # CHG format - 10 columns if format.lower() == 'chg': # Write all but the last row for ii in range((len(chgtmp)-1)/10): fobj.write(' %#11.5G %#11.5G %#11.5G %#11.5G %#11.5G\ %#11.5G %#11.5G %#11.5G %#11.5G %#11.5G\n' % chgtmp[ii*10:(ii+1)*10] ) # If the last row contains 10 values then write them without a newline if len(chgtmp)%10==0: fobj.write(' %#11.5G %#11.5G %#11.5G %#11.5G %#11.5G\ %#11.5G %#11.5G %#11.5G %#11.5G %#11.5G' % chgtmp[len(chgtmp)-10:len(chgtmp)]) # Otherwise write fewer columns without a newline else: for ii in range(len(chgtmp)%10): fobj.write((' %#11.5G') % chgtmp[len(chgtmp)-len(chgtmp)%10+ii]) # Other formats - 5 columns else: # Write all but the last row for ii in range((len(chgtmp)-1)/5): fobj.write(' %17.10E %17.10E %17.10E %17.10E %17.10E\n' % chgtmp[ii*5:(ii+1)*5]) # If the last row contains 5 values then write them without a newline if len(chgtmp)%5==0: fobj.write(' %17.10E %17.10E %17.10E %17.10E %17.10E' % chgtmp[len(chgtmp)-5:len(chgtmp)]) # Otherwise write fewer columns without a newline else: for ii in range(len(chgtmp)%5): fobj.write((' %17.10E') % chgtmp[len(chgtmp)-len(chgtmp)%5+ii]) # Write a newline whatever format it is fobj.write('\n') # Clean up del chgtmp def write(self, filename='CHG', format=None): """Write VASP charge density in CHG format. filename: str Name of file to write to. format: str String specifying whether to write in CHGCAR or CHG format. """ import ase.io.vasp as aiv if format == None: if filename.lower().find('chgcar') != -1: format = 'chgcar' elif filename.lower().find('chg') != -1: format = 'chg' elif len(self.chg) == 1: format = 'chgcar' else: format = 'chg' f = open(filename, 'w') for ii, chg in enumerate(self.chg): if format == 'chgcar' and ii != len(self.chg) - 1: continue # Write only the last image for CHGCAR aiv.write_vasp(f, self.atoms[ii], direct=True, long_format=False) f.write('\n') for dim in chg.shape: f.write(' %4i' % dim) f.write('\n') vol = self.atoms[ii].get_volume() self._write_chg(f, chg, vol, format) if format == 'chgcar': f.write(self.aug) if self.is_spin_polarized(): if format == 'chg': f.write('\n') for dim in chg.shape: f.write(' %4i' % dim) self._write_chg(f, self.chgdiff[ii], vol, format) if format == 'chgcar': f.write('\n') f.write(self.augdiff) if format == 'chg' and len(self.chg) > 1: f.write('\n') f.close() class VaspDos(object): """Class for representing density-of-states produced by VASP The energies are in property self.energy Site-projected DOS is accesible via the self.site_dos method. Total and integrated DOS is accessible as numpy.ndarray's in the properties self.dos and self.integrated_dos. If the calculation is spin polarized, the arrays will be of shape (2, NDOS), else (1, NDOS). The self.efermi property contains the currently set Fermi level. Changing this value shifts the energies. """ def __init__(self, doscar='DOSCAR', efermi=0.0): """Initialize""" self._efermi = 0.0 self.read_doscar(doscar) self.efermi = efermi def _set_efermi(self, efermi): """Set the Fermi level.""" ef = efermi - self._efermi self._efermi = efermi self._total_dos[0, :] = self._total_dos[0, :] - ef try: self._site_dos[:, 0, :] = self._site_dos[:, 0, :] - ef except IndexError: pass def _get_efermi(self): return self._efermi efermi = property(_get_efermi, _set_efermi, None, "Fermi energy.") def _get_energy(self): """Return the array with the energies.""" return self._total_dos[0, :] energy = property(_get_energy, None, None, "Array of energies") def site_dos(self, atom, orbital): """Return an NDOSx1 array with dos for the chosen atom and orbital. atom: int Atom index orbital: int or str Which orbital to plot If the orbital is given as an integer: If spin-unpolarized calculation, no phase factors: s = 0, p = 1, d = 2 Spin-polarized, no phase factors: s-up = 0, s-down = 1, p-up = 2, p-down = 3, d-up = 4, d-down = 5 If phase factors have been calculated, orbitals are s, py, pz, px, dxy, dyz, dz2, dxz, dx2 double in the above fashion if spin polarized. """ # Integer indexing for orbitals starts from 1 in the _site_dos array # since the 0th column contains the energies if isinstance(orbital, int): return self._site_dos[atom, orbital + 1, :] n = self._site_dos.shape[1] if n == 4: norb = {'s':1, 'p':2, 'd':3} elif n == 7: norb = {'s+':1, 's-up':1, 's-':2, 's-down':2, 'p+':3, 'p-up':3, 'p-':4, 'p-down':4, 'd+':5, 'd-up':5, 'd-':6, 'd-down':6} elif n == 10: norb = {'s':1, 'py':2, 'pz':3, 'px':4, 'dxy':5, 'dyz':6, 'dz2':7, 'dxz':8, 'dx2':9} elif n == 19: norb = {'s+':1, 's-up':1, 's-':2, 's-down':2, 'py+':3, 'py-up':3, 'py-':4, 'py-down':4, 'pz+':5, 'pz-up':5, 'pz-':6, 'pz-down':6, 'px+':7, 'px-up':7, 'px-':8, 'px-down':8, 'dxy+':9, 'dxy-up':9, 'dxy-':10, 'dxy-down':10, 'dyz+':11, 'dyz-up':11, 'dyz-':12, 'dyz-down':12, 'dz2+':13, 'dz2-up':13, 'dz2-':14, 'dz2-down':14, 'dxz+':15, 'dxz-up':15, 'dxz-':16, 'dxz-down':16, 'dx2+':17, 'dx2-up':17, 'dx2-':18, 'dx2-down':18} return self._site_dos[atom, norb[orbital.lower()], :] def _get_dos(self): if self._total_dos.shape[0] == 3: return self._total_dos[1, :] elif self._total_dos.shape[0] == 5: return self._total_dos[1:3, :] dos = property(_get_dos, None, None, 'Average DOS in cell') def _get_integrated_dos(self): if self._total_dos.shape[0] == 3: return self._total_dos[2, :] elif self._total_dos.shape[0] == 5: return self._total_dos[3:5, :] integrated_dos = property(_get_integrated_dos, None, None, 'Integrated average DOS in cell') def read_doscar(self, fname="DOSCAR"): """Read a VASP DOSCAR file""" f = open(fname) natoms = int(f.readline().split()[0]) [f.readline() for nn in range(4)] # Skip next 4 lines. # First we have a block with total and total integrated DOS ndos = int(f.readline().split()[2]) dos = [] for nd in xrange(ndos): dos.append(np.array([float(x) for x in f.readline().split()])) self._total_dos = np.array(dos).T # Next we have one block per atom, if INCAR contains the stuff # necessary for generating site-projected DOS dos = [] for na in xrange(natoms): line = f.readline() if line == '': # No site-projected DOS break ndos = int(line.split()[2]) line = f.readline().split() cdos = np.empty((ndos, len(line))) cdos[0] = np.array(line) for nd in xrange(1, ndos): line = f.readline().split() cdos[nd] = np.array([float(x) for x in line]) dos.append(cdos.T) self._site_dos = np.array(dos) import pickle class xdat2traj: def __init__(self, trajectory=None, atoms=None, poscar=None, xdatcar=None, sort=None, calc=None): if not poscar: self.poscar = 'POSCAR' else: self.poscar = poscar if not atoms: self.atoms = ase.io.read(self.poscar, format='vasp') else: self.atoms = atoms if not xdatcar: self.xdatcar = 'XDATCAR' else: self.xdatcar = xdatcar if not trajectory: self.trajectory = 'out.traj' else: self.trajectory = trajectory if not calc: self.calc = Vasp() else: self.calc = calc if not sort: if not hasattr(self.calc, 'sort'): self.calc.sort = range(len(self.atoms)) else: self.calc.sort = sort self.calc.resort = range(len(self.calc.sort)) for n in range(len(self.calc.resort)): self.calc.resort[self.calc.sort[n]] = n self.out = ase.io.trajectory.PickleTrajectory(self.trajectory, mode='w') self.energies = self.calc.read_energy(all=True)[1] self.forces = self.calc.read_forces(self.atoms, all=True) def convert(self): lines = open(self.xdatcar).readlines() if len(lines[7].split())==0: del(lines[0:8]) elif len(lines[5].split())==0: del(lines[0:6]) elif len(lines[4].split())==0: del(lines[0:5]) step = 0 iatom = 0 scaled_pos = [] for line in lines: if iatom == len(self.atoms): if step == 0: self.out.write_header(self.atoms[self.calc.resort]) scaled_pos = np.array(scaled_pos) self.atoms.set_scaled_positions(scaled_pos) d = {'positions': self.atoms.get_positions()[self.calc.resort], 'cell': self.atoms.get_cell(), 'momenta': None, 'energy': self.energies[step], 'forces': self.forces[step], 'stress': None} pickle.dump(d, self.out.fd, protocol=-1) scaled_pos = [] iatom = 0 step += 1 else: iatom += 1 scaled_pos.append([float(line.split()[n]) for n in range(3)]) # Write also the last image # I'm sure there is also more clever fix... scaled_pos = np.array(scaled_pos) self.atoms.set_scaled_positions(scaled_pos) d = {'positions': self.atoms.get_positions()[self.calc.resort], 'cell': self.atoms.get_cell(), 'momenta': None, 'energy': self.energies[step], 'forces': self.forces[step], 'stress': None} pickle.dump(d, self.out.fd, protocol=-1) self.out.fd.close() python-ase-3.6.0.2515/ase/calculators/test.py0000644000175400017540000001202111717212003017603 0ustar askhlaskhlfrom math import pi, ceil import numpy as np from ase.atoms import Atoms from ase.parallel import world, rank, distribute_cpus try: from gpaw.mpi import SerialCommunicator except: pass def make_test_dft_calculation(): a = b = 2.0 c = 6.0 atoms = Atoms(positions=[(0, 0, c / 2)], symbols='H', pbc=(1, 1, 0), cell=(a, b, c), calculator=TestCalculator()) return atoms class TestCalculator: def __init__(self, nk=8): assert nk % 2 == 0 bzk = [] weights = [] ibzk = [] w = 1.0 / nk**2 for i in range(-nk + 1, nk, 2): for j in range(-nk + 1, nk, 2): k = (0.5 * i / nk, 0.5 * j / nk, 0) bzk.append(k) if i >= j > 0: ibzk.append(k) if i == j: weights.append(4 * w) else: weights.append(8 * w) assert abs(sum(weights) - 1.0) < 1e-12 self.bzk = np.array(bzk) self.ibzk = np.array(ibzk) self.weights = np.array(weights) # Calculate eigenvalues and wave functions: self.init() def init(self): nibzk = len(self.weights) nbands = 1 V = -1.0 self.eps = 2 * V * (np.cos(2 * pi * self.ibzk[:, 0]) + np.cos(2 * pi * self.ibzk[:, 1])) self.eps.shape = (nibzk, nbands) self.psi = np.zeros((nibzk, 20, 20, 60), complex) phi = np.empty((2, 2, 20, 20, 60)) z = np.linspace(-1.5, 1.5, 60, endpoint=False) for i in range(2): x = np.linspace(0, 1, 20, endpoint=False) - i for j in range(2): y = np.linspace(0, 1, 20, endpoint=False) - j r = (((x[:, None]**2 + y**2)[:, :, None] + z**2)**0.5).clip(0, 1) phi = 1.0 - r**2 * (3.0 - 2.0 * r) phase = np.exp(pi * 2j * np.dot(self.ibzk, (i, j, 0))) self.psi += phase[:, None, None, None] * phi def get_pseudo_wave_function(self, band=0, kpt=0, spin=0): assert spin == 0 and band == 0 return self.psi[kpt] def get_eigenvalues(self, kpt=0, spin=0): assert spin == 0 return self.eps[kpt] def get_number_of_bands(self): return 1 def get_k_point_weights(self): return self.weights def get_number_of_spins(self): return 1 def get_fermi_level(self): return 0.0 class TestPotential: def get_forces(self, atoms): E = 0.0 R = atoms.positions F = np.zeros_like(R) for a, r in enumerate(R): D = R - r d = (D**2).sum(1)**0.5 x = d - 1.0 E += np.vdot(x, x) d[a] = 1 F -= (x / d)[:, None] * D self.energy = 0.25 * E return F def get_potential_energy(self, atoms): self.get_forces(atoms) return self.energy def get_stress(self, atoms): raise NotImplementedError def numeric_force(atoms, a, i, d=0.001): """Evaluate force along i'th axis on a'th atom using finite difference. This will trigger two calls to get_potential_energy(), with atom a moved plus/minus d in the i'th axial direction, respectively. """ p0 = atoms.positions[a, i] atoms.positions[a, i] += d eplus = atoms.get_potential_energy() atoms.positions[a, i] -= 2 * d eminus = atoms.get_potential_energy() atoms.positions[a, i] = p0 return (eminus - eplus) / (2 * d) def numeric_forces(atoms, indices=None, axes=(0, 1, 2), d=0.001, parallel=None): """Evaluate finite-difference forces on several atoms. Returns an array of forces for each specified atomic index and each specified axis, calculated using finite difference on each atom and direction separately. Array has same shape as if returned from atoms.get_forces(); uncalculated elements are zero. Calculates all forces by default.""" if indices is None: indices = range(len(atoms)) F_ai = np.zeros_like(atoms.positions) n = len(indices) * len(axes) if parallel is None: atom_tasks = [atoms] * n master = True else: calc_comm, tasks_comm, tasks_rank = distribute_cpus(parallel, world) master = calc_comm.rank == 0 calculator = atoms.get_calculator() calculator.set(communicator=calc_comm) atom_tasks = [None] * n for i in range(n): if ((i - tasks_rank) % tasks_comm.size) == 0: atom_tasks[i] = atoms for ia, a in enumerate(indices): for ii, i in enumerate(axes): atoms = atom_tasks[ia * len(axes) + ii] if atoms is not None: print '# rank', rank, 'calculating atom', a, 'xyz'[i] force = numeric_force(atoms, a, i, d) if master: F_ai[a, i] = force if parallel is not None: world.sum(F_ai) return F_ai python-ase-3.6.0.2515/ase/calculators/turbomole.py0000644000175400017540000001154111560254354020655 0ustar askhlaskhl"""This module defines an ASE interface to Turbomole http://www.turbomole.com/ """ import os import sys import numpy as np from ase.units import Hartree, Bohr from ase.io.turbomole import write_turbomole from ase.calculators.general import Calculator class Turbomole(Calculator): def __init__(self, label='turbomole', calculate_energy='dscf', calculate_forces='grad', post_HF = False): self.label = label self.converged = False # set calculators for energy and forces self.calculate_energy = calculate_energy self.calculate_forces = calculate_forces # turbomole has no stress self.stress = np.empty((3, 3)) # storage for energy and forces self.e_total = None self.forces = None self.updated = False # atoms must be set self.atoms = None # POST-HF method self.post_HF = post_HF def initialize(self, atoms): self.numbers = atoms.get_atomic_numbers().copy() self.species = [] for a, Z in enumerate(self.numbers): self.species.append(Z) self.converged = False def execute(self, command): from subprocess import Popen, PIPE try: # the sub process gets started here proc = Popen([command], shell=True, stderr=PIPE) error = proc.communicate()[1] # check the error output if 'abnormally' in error: raise OSError(error) print 'TM command: ', command, 'successfully executed' except OSError, e: print >> sys.stderr, 'Execution failed:', e sys.exit(1) def get_potential_energy(self, atoms): # update atoms self.set_atoms(atoms) # if update of energy is neccessary if self.update_energy: # calculate energy self.execute(self.calculate_energy + ' > ASE.TM.energy.out') # check for convergence of dscf cycle if os.path.isfile('dscf_problem'): print 'Turbomole scf energy calculation did not converge' raise RuntimeError( 'Please run Turbomole define and come thereafter back') # read energy self.read_energy() else: print 'taking old values (E)' self.update_energy = False return self.e_total def get_forces(self, atoms): # update atoms self.set_atoms(atoms) # complete energy calculations if self.update_energy: self.get_potential_energy(atoms) # if update of forces is neccessary if self.update_forces: # calculate forces self.execute(self.calculate_forces + ' > ASE.TM.forces.out') # read forces self.read_forces() else: print 'taking old values (F)' self.update_forces = False return self.forces.copy() def get_stress(self, atoms): return self.stress def set_atoms(self, atoms): if self.atoms == atoms: return # performs an update of the atoms super(Turbomole, self).set_atoms(atoms) write_turbomole('coord', atoms) # energy and forces must be re-calculated self.update_energy = True self.update_forces = True def read_energy(self): """Read Energy from Turbomole energy file.""" text = open('energy', 'r').read().lower() lines = iter(text.split('\n')) # Energy: for line in lines: if line.startswith('$end'): break elif line.startswith('$'): pass else: energy_tmp = float(line.split()[1]) if self.post_HF: energy_tmp += float(line.split()[4]) # update energy units self.e_total = energy_tmp * Hartree def read_forces(self): """Read Forces from Turbomole gradient file.""" file = open('gradient', 'r') lines = file.readlines() file.close() forces = np.array([[0, 0, 0]]) nline = len(lines) iline = -1 for i in range(nline): if 'cycle' in lines[i]: iline = i if iline < 0: raise RuntimeError('Please check TURBOMOLE gradients') # next line iline += len(self.atoms) + 1 # $end line nline -= 1 # read gradients for i in xrange(iline, nline): line = lines[i].replace('D', 'E') tmp = np.array([[float(f) for f in line.split()[0:3]]]) forces = np.concatenate((forces, tmp)) # Note the '-' sign for turbomole, to get forces self.forces = (-np.delete(forces, np.s_[0:1], axis=0)) * Hartree / Bohr python-ase-3.6.0.2515/ase/calculators/fleur.py0000644000175400017540000004530111631456100017753 0ustar askhlaskhl"""This module defines an ASE interface to FLAPW code FLEUR. http://www.flapw.de """ import os try: from subprocess import Popen, PIPE except ImportError: from os import popen3 else: def popen3(cmd): p = Popen(cmd, shell=True, close_fds=True, stdin=PIPE, stdout=PIPE, stderr=PIPE) return p.stdin, p.stdout, p.stderr import re import numpy as np from ase.units import Hartree, Bohr class FLEUR: """Class for doing FLEUR calculations. In order to use fleur one has to define the following environment variables: FLEUR_INPGEN path to the input generator (inpgen.x) of fleur FLEUR path to the fleur executable. Note that fleur uses different executable for real and complex cases (systems with/without inversion symmetry), so FLEUR must point to the correct executable. The initialize_density step can be performed in parallel only if run on one compute node. FLEUR_SERIAL is used for this step. It is probable that user needs to tune manually the input file before the actual calculation, so in addition to the standard get_potential_energy function this class defines the following utility functions: write_inp generate the input file `inp` initialize_density creates the initial density after possible manual edits of `inp` calculate convergence the total energy. With fleur, one specifies always only the number of SCF-iterations so this function launches the executable several times and monitors the convergence. relax Uses fleur's internal algorithm for structure optimization. Requires that the proper optimization parameters (atoms to optimize etc.) are specified by hand in `inp` """ def __init__(self, xc='LDA', kpts=None, nbands=None, convergence=None, width=None, kmax=None, mixer=None, maxiter=None, maxrelax=20, workdir=None, equivatoms=True): """Construct FLEUR-calculator object. Parameters ========== xc: str Exchange-correlation functional. Must be one of LDA, PBE, RPBE. kpts: list of three int Monkhost-Pack sampling. nbands: int Number of bands. (not used at the moment) convergence: dictionary Convergence parameters (currently only energy in eV) {'energy' : float} width: float Fermi-distribution width in eV. kmax: float Plane wave cutoff in a.u. If kmax is set then: gmax = 3.0 * kmax gmaxxc = int(2.5 * kmax * 10)/10. (from set_inp.f) mixer: dictionary Mixing parameters imix, alpha, spinf {'imix' : int, 'alpha' : float, 'spinf' : float} maxiter: int Maximum number of SCF iterations (name in the code: itmax) maxrelax: int Maximum number of relaxation steps workdir: str Working directory for the calculation equivatoms: bool If False: generate inequivalent atoms (default is True). Setting to False allows one for example to calculate spin-polarized dimers. Ssee http://www.flapw.de/pm/index.php?n=User-Documentation.InputFileForTheInputGenerator. """ self.xc = xc self.kpts = kpts self.nbands = nbands self.width = width self.kmax = kmax self.itmax_step_default = 9 # SCF steps per run (default) self.itmax_step = 5 # SCF steps per run assert self.itmax_step_default <= 9 assert self.itmax_step <= self.itmax_step_default self.itmax_default = 40 if maxiter is None: self.itmax = self.itmax_default else: self.itmax = maxiter self.maxrelax = maxrelax self.mixer = mixer if convergence: self.convergence = convergence self.convergence['energy'] /= Hartree else: self.convergence = {'energy' : 0.0001} self.start_dir = None self.workdir = workdir if self.workdir: self.start_dir = os.getcwd() if not os.path.isdir(workdir): os.mkdir(workdir) else: self.workdir = '.' self.start_dir = '.' self.equivatoms = equivatoms self.converged = False def run_executable(self, mode='fleur', executable='FLEUR'): assert executable in ['FLEUR', 'FLEUR_SERIAL'] executable_use = executable if executable == 'FLEUR_SERIAL' and not os.environ.get(executable, ''): executable_use = 'FLEUR' # use FLEUR if FLEUR_SERIAL not set try: code_exe = os.environ[executable_use] except KeyError: raise RuntimeError('Please set ' + executable_use) p = Popen(code_exe, shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE) stat = p.wait() out = p.stdout.read() err = p.stderr.read() print mode, ': stat= ', stat, ' out= ', out, ' err=', err # special handling of exit status from density generation and regular fleur.x if mode in ['density']: if '!' in err: raise RuntimeError(executable_use + ' exited with a code %s' % err) else: if stat != 0: raise RuntimeError(executable_use + ' exited with a code %d' % stat) def update(self, atoms): """Update a FLEUR calculation.""" if (not self.converged or len(self.numbers) != len(atoms) or (self.numbers != atoms.get_atomic_numbers()).any()): self.initialize(atoms) self.calculate(atoms) elif ((self.positions != atoms.get_positions()).any() or (self.pbc != atoms.get_pbc()).any() or (self.cell != atoms.get_cell()).any()): self.converged = False self.initialize(atoms) self.calculate(atoms) def initialize(self, atoms): """Create an input file inp and generate starting density.""" self.converged = False self.initialize_inp(atoms) self.initialize_density(atoms) def initialize_inp(self, atoms): """Create a inp file""" os.chdir(self.workdir) self.numbers = atoms.get_atomic_numbers().copy() self.positions = atoms.get_positions().copy() self.cell = atoms.get_cell().copy() self.pbc = atoms.get_pbc().copy() # create the input self.write_inp(atoms) os.chdir(self.start_dir) def initialize_density(self, atoms): """Creates a new starting density.""" os.chdir(self.workdir) # remove possible conflicting files files2remove = ['cdn1', 'fl7para', 'stars', 'wkf2', 'enpara', 'kpts', 'broyd', 'broyd.7', 'tmat', 'tmas'] if 0: # avoid STOP bzone3 error by keeping the kpts file files2remove.remove('kpts') for f in files2remove: if os.path.isfile(f): os.remove(f) # generate the starting density os.system("sed -i -e 's/strho=./strho=T/' inp") self.run_executable(mode='density', executable='FLEUR_SERIAL') os.system("sed -i -e 's/strho=./strho=F/' inp") os.chdir(self.start_dir) # generate spin-polarized density # http://www.flapw.de/pm/index.php?n=User-Documentation.Magnetism if atoms.get_initial_magnetic_moments().sum() > 0.0: os.chdir(self.workdir) # generate cdnc file (1 SCF step: swsp=F - non-magnetic) os.system("sed -i -e 's/itmax=.*,maxiter/itmax= 1,maxiter/' inp") self.run_executable(mode='cdnc', executable='FLEUR') sedline = "'s/itmax=.*,maxiter/itmax= '" sedline += str(self.itmax_step_default) + "',maxiter/'" os.system("sed -i -e " + sedline + " inp") # generate spin polarized density (swsp=T) os.system("sed -i -e 's/swsp=./swsp=T/' inp") self.run_executable(mode='swsp', executable='FLEUR_SERIAL') # restore swsp=F os.system("sed -i -e 's/swsp=./swsp=F/' inp") os.chdir(self.start_dir) def get_potential_energy(self, atoms, force_consistent=False): self.update(atoms) if force_consistent: return self.efree * Hartree else: # Energy extrapolated to zero Kelvin: return (self.etotal + self.efree) / 2 * Hartree def get_number_of_iterations(self, atoms): self.update(atoms) return self.niter def get_forces(self, atoms): self.update(atoms) # electronic structure is converged, so let's calculate forces: # TODO return np.array((0.0, 0.0, 0.0)) def get_stress(self, atoms): raise NotImplementedError def get_dipole_moment(self, atoms): """Returns total dipole moment of the system.""" raise NotImplementedError def calculate(self, atoms): """Converge a FLEUR calculation to self-consistency. Input files should be generated before calling this function FLEUR performs always fixed number of SCF steps. This function reduces the number of iterations gradually, however, a minimum of five SCF steps is always performed. """ os.chdir(self.workdir) self.niter = 0 out = '' err = '' while not self.converged: if self.niter > self.itmax: raise RuntimeError('FLEUR failed to convergence in %d iterations' % self.itmax) self.run_executable(mode='fleur', executable='FLEUR') # catenate new output with the old one os.system('cat out >> out.old') self.read() self.check_convergence() if os.path.exists('out.old'): os.rename('out.old', 'out') # After convergence clean up broyd* files os.system('rm -f broyd*') os.chdir(self.start_dir) return out, err def relax(self, atoms): """Currently, user has to manually define relaxation parameters (atoms to relax, relaxation directions, etc.) in inp file before calling this function.""" nrelax = 0 relaxed = False while not relaxed: # Calculate electronic structure self.calculate(atoms) # Calculate the Pulay forces os.system("sed -i -e 's/l_f=./l_f=T/' inp") while True: self.converged = False out, err = self.calculate(atoms) if 'GEO new' in err: os.chdir(self.workdir) os.rename('inp_new', 'inp') os.chdir(self.start_dir) break if 'GEO: Des woas' in err: relaxed = True break nrelax += 1 # save the out and cdn1 files os.system('cp out out_%d' % nrelax) os.system('cp cdn1 cdn1_%d' % nrelax) if nrelax > self.maxrelax: raise RuntimeError('Failed to relax in %d iterations' % self.maxrelax) self.converged = False def write_inp(self, atoms): """Write the `inp` input file of FLEUR. First, the information from Atoms is written to the simple input file and the actual input file `inp` is then generated with the FLEUR input generator. The location of input generator is specified in the environment variable FLEUR_INPGEN. Finally, the `inp` file is modified according to the arguments of the FLEUR calculator object. """ fh = open('inp_simple', 'w') fh.write('FLEUR input generated with ASE\n') fh.write('\n') if atoms.pbc[2]: film = 'f' else: film = 't' fh.write('&input film=%s /' % film) fh.write('\n') for vec in atoms.get_cell(): fh.write(' ') for el in vec: fh.write(' %21.16f' % (el/Bohr)) fh.write('\n') fh.write(' %21.16f\n' % 1.0) fh.write(' %21.16f %21.16f %21.16f\n' % (1.0, 1.0, 1.0)) fh.write('\n') natoms = len(atoms) fh.write(' %6d\n' % natoms) positions = atoms.get_scaled_positions() if not atoms.pbc[2]: # in film calculations z position has to be in absolute # coordinates and symmetrical cart_pos = atoms.get_positions() cart_pos[:, 2] -= atoms.get_cell()[2, 2]/2.0 positions[:, 2] = cart_pos[:, 2] / Bohr atomic_numbers = atoms.get_atomic_numbers() for n, (Z, pos) in enumerate(zip(atomic_numbers, positions)): if self.equivatoms: fh.write('%3d' % Z) else: # generate inequivalent atoms, by using non-integer Z # (only the integer part will be used as Z of the atom) # see http://www.flapw.de/pm/index.php?n=User-Documentation.InputFileForTheInputGenerator fh.write('%3d.%04d' % (Z, n)) # MDTMP don't think one can calculate more that 10**4 atoms for el in pos: fh.write(' %21.16f' % el) fh.write('\n') # avoid "STOP read_record: ERROR reading input" fh.write('&end /') fh.close() try: inpgen = os.environ['FLEUR_INPGEN'] except KeyError: raise RuntimeError('Please set FLEUR_INPGEN') # rename the previous inp if it exists if os.path.isfile('inp'): os.rename('inp', 'inp.bak') os.system('%s < inp_simple' % inpgen) # read the whole inp-file for possible modifications fh = open('inp', 'r') lines = fh.readlines() fh.close() window_ln = -1 for ln, line in enumerate(lines): # XC potential if line.startswith('pbe'): if self.xc == 'PBE': pass elif self.xc == 'RPBE': lines[ln] = 'rpbe non-relativi\n' elif self.xc == 'LDA': lines[ln] = 'mjw non-relativic\n' del lines[ln+1] else: raise RuntimeError('XC-functional %s is not supported' % self.xc) if line.startswith('Window'): # few things are set around this line window_ln = ln # kmax if self.kmax and ln == window_ln: line = '%10.5f\n' % self.kmax lines[ln+2] = line # gmax cutoff for PW-expansion of potential & density ( > 2*kmax) # gmaxxc cutoff for PW-expansion of XC-potential ( > 2*kmax, < gmax) if self.kmax and line.startswith('vchk'): gmax = 3. * self.kmax line = ' %10.6f %10.6f\n' % (gmax, int(2.5 * self.kmax * 10)/10.) lines[ln-1] = line # Fermi width if self.width and line.startswith('gauss'): line = 'gauss=F %7.5ftria=F\n' % (self.width / Hartree) lines[ln] = line # kpts if self.kpts and line.startswith('nkpt'): line = 'nkpt= nx=%2d,ny=%2d,nz=%2d\n' % (self.kpts[0], self.kpts[1], self.kpts[2]) lines[ln] = line # itmax if self.itmax < self.itmax_step_default and line.startswith('itmax'): # decrease number of SCF steps; increasing is done by 'while not self.converged:' lsplit = line.split(',') if lsplit[0].find('itmax') != -1: lsplit[0] = 'itmax=' + ('%2d' % self.itmax) lines[ln] = ",".join(lsplit) # Mixing if self.mixer and line.startswith('itmax'): imix = self.mixer['imix'] alpha = self.mixer['alpha'] spinf = self.mixer['spinf'] line_end = 'imix=%2d,alpha=%6.2f,spinf=%6.2f\n' % (imix, alpha, spinf) line = line[:21] + line_end lines[ln] = line # jspins and swsp if atoms.get_initial_magnetic_moments().sum() > 0.0: assert not self.equivatoms, 'equivatoms currently not allowed in magnetic systems' if line.find('jspins=1') != -1: lines[ln] = line.replace('jspins=1', 'jspins=2') if line.startswith('swsp=F'): # setting initial magnetic moments for all atom types lines[ln] = 'swsp=F' for m in atoms.get_initial_magnetic_moments(): lines[ln] += (' %5.2f' % m) lines[ln] += '\n' # inpgen produces incorrect symbol 'J' for Iodine if line.startswith(' J 53'): lines[ln] = lines[ln].replace(' J 53', ' I 53') # write everything back to inp fh = open('inp', 'w') for line in lines: fh.write(line) fh.close() def read(self): """Read results from FLEUR's text-output file `out`.""" lines = open('out', 'r').readlines() # total energies self.total_energies = [] pat = re.compile('(.*total energy=)(\s)*([-0-9.]*)') for line in lines: m = pat.match(line) if m: self.total_energies.append(float(m.group(3))) self.etotal = self.total_energies[-1] # free_energies self.free_energies = [] pat = re.compile('(.*free energy=)(\s)*([-0-9.]*)') for line in lines: m = pat.match(line) if m: self.free_energies.append(float(m.group(3))) self.efree = self.free_energies[-1] # TODO forces, charge density difference... def check_convergence(self): """Check the convergence of calculation""" energy_error = np.ptp(self.total_energies[-3:]) self.converged = energy_error < self.convergence['energy'] # TODO check charge convergence # reduce the itmax in inp lines = open('inp', 'r').readlines() pat = re.compile('(itmax=)([ 0-9]*)') fh = open('inp', 'w') for line in lines: m = pat.match(line) if m: itmax = int(m.group(2)) self.niter += itmax itmax_new = itmax / 2 itmax = max(self.itmax_step, itmax_new) line = 'itmax=%2d' % itmax + line[8:] fh.write(line) fh.close() python-ase-3.6.0.2515/ase/calculators/lj.py0000644000175400017540000000237411207220276017250 0ustar askhlaskhlimport numpy as np class LennardJones: def __init__(self, epsilon=1.0, sigma=1.0): self.epsilon = epsilon self.sigma = sigma self.positions = None def update(self, atoms): assert not atoms.get_pbc().any() if (self.positions is None or (self.positions != atoms.get_positions()).any()): self.calculate(atoms) def get_potential_energy(self, atoms): self.update(atoms) return self.energy def get_forces(self, atoms): self.update(atoms) return self._forces def get_stress(self, atoms): return np.zeros((3, 3)) def calculate(self, atoms): positions = atoms.get_positions() self.energy = 0.0 self._forces = np.zeros((len(atoms), 3)) for i1, p1 in enumerate(positions): for i2, p2 in enumerate(positions[:i1]): diff = p2 - p1 d2 = np.dot(diff, diff) c6 = (self.sigma**2 / d2)**3 c12 = c6**2 self.energy += 4 * self.epsilon * (c12 - c6) F = 24 * self.epsilon * (2 * c12 - c6) / d2 * diff self._forces[i1] -= F self._forces[i2] += F self.positions = positions.copy() python-ase-3.6.0.2515/ase/calculators/dacapo.py0000644000175400017540000001552311442432613020073 0ustar askhlaskhlimport numpy as np from ase.old import OldASEListOfAtomsWrapper try: import Numeric as num except ImportError: pass def np2num(a, typecode=None): if num.__version__ > '23.8': return num.array(a, typecode) if typecode is None: typecode = num.Float b = num.fromstring(a.tostring(), typecode) b.shape = a.shape return b def restart(filename, **kwargs): calc = Dacapo(filename, **kwargs) atoms = calc.get_atoms() return atoms, calc class Dacapo: def __init__(self, filename=None, stay_alive=False, stress=False, **kwargs): self.kwargs = kwargs self.stay_alive = stay_alive self.stress = stress if filename is not None: from Dacapo import Dacapo self.loa = Dacapo.ReadAtoms(filename, **kwargs) self.calc = self.loa.GetCalculator() else: self.loa = None self.calc = None self.pps = [] def set_pp(self, Z, path): self.pps.append((Z, path)) def set_txt(self, txt): if self.calc is None: self.kwargs['txtout'] = txt else: self.calc.SetTxtFile(txt) def set_nc(self, nc): if self.calc is None: self.kwargs['out'] = nc else: self.calc.SetNetCDFFile(nc) def update(self, atoms): from Dacapo import Dacapo if self.calc is None: if 'nbands' not in self.kwargs: n = sum([valence[atom.symbol] for atom in atoms]) self.kwargs['nbands'] = int(n * 0.65) + 4 magmoms = atoms.get_initial_magnetic_moments() if magmoms.any(): self.kwargs['spinpol'] = True self.calc = Dacapo(**self.kwargs) if self.stay_alive: self.calc.StayAliveOn() else: self.calc.StayAliveOff() if self.stress: self.calc.CalculateStress() for Z, path in self.pps: self.calc.SetPseudoPotential(Z, path) if self.loa is None: from ASE import Atom, ListOfAtoms numbers = atoms.get_atomic_numbers() positions = atoms.get_positions() magmoms = atoms.get_initial_magnetic_moments() self.loa = ListOfAtoms([Atom(Z=numbers[a], position=positions[a], magmom=magmoms[a]) for a in range(len(atoms))], cell=np2num(atoms.get_cell()), periodic=tuple(atoms.get_pbc())) self.loa.SetCalculator(self.calc) else: self.loa.SetCartesianPositions(np2num(atoms.get_positions())) self.loa.SetUnitCell(np2num(atoms.get_cell()), fix=True) def get_atoms(self): atoms = OldASEListOfAtomsWrapper(self.loa).copy() atoms.set_calculator(self) return atoms def get_potential_energy(self, atoms): self.update(atoms) return self.calc.GetPotentialEnergy() def get_forces(self, atoms): self.update(atoms) return np.array(self.calc.GetCartesianForces()) def get_stress(self, atoms): self.update(atoms) stress = np.array(self.calc.GetStress()) if stress.ndim == 2: return stress.ravel()[[0, 4, 8, 5, 2, 1]] else: return stress def calculation_required(self, atoms, quantities): if self.calc is None: return True if atoms != self.get_atoms(): return True return False def get_number_of_bands(self): return self.calc.GetNumberOfBands() def get_k_point_weights(self): return np.array(self.calc.GetIBZKPointWeights()) def get_number_of_spins(self): return 1 + int(self.calc.GetSpinPolarized()) def get_eigenvalues(self, kpt=0, spin=0): return np.array(self.calc.GetEigenvalues(kpt, spin)) def get_fermi_level(self): return self.calc.GetFermiLevel() def get_magnetic_moment(self): return self.calc.GetMagneticMoment() def get_number_of_electrons(self): return self.calc.GetValenceElectrons() def get_number_of_grid_points(self): return np.array(self.get_pseudo_wave_function(0, 0, 0).shape) def get_pseudo_density(self, spin=0): return np.array(self.calc.GetDensityArray(s)) def get_pseudo_wave_function(self, band=0, kpt=0, spin=0, pad=True): kpt_c = self.get_bz_k_points()[kpt] state = self.calc.GetElectronicStates().GetState(band=band, spin=spin, kptindex=kpt) # Get wf, without bloch phase (Phase = True doesn't do anything!) wave = state.GetWavefunctionOnGrid(phase=False) # Add bloch phase if this is not the Gamma point if np.all(kpt_c == 0): return wave coord = state.GetCoordinates() phase = coord[0] * kpt_c[0] + coord[1] * kpt_c[1] + coord[2] * kpt_c[2] return np.array(wave) * np.exp(-2.j * np.pi * phase) # sign! XXX #return np.array(self.calc.GetWaveFunctionArray(n, k, s)) # No phase! def get_bz_k_points(self): return np.array(self.calc.GetBZKPoints()) def get_ibz_k_points(self): return np.array(self.calc.GetIBZKPoints()) def get_wannier_localization_matrix(self, nbands, dirG, kpoint, nextkpoint, G_I, spin): return np.array(self.calc.GetWannierLocalizationMatrix( G_I=G_I.tolist(), nbands=nbands, dirG=dirG.tolist(), kpoint=kpoint, nextkpoint=nextkpoint, spin=spin)) def initial_wannier(self, initialwannier, kpointgrid, fixedstates, edf, spin): # Use initial guess to determine U and C init = self.calc.InitialWannier(initialwannier, self.atoms, np2num(kpointgrid, num.Int)) states = self.calc.GetElectronicStates() waves = [[state.GetWaveFunction() for state in states.GetStatesKPoint(k, spin)] for k in self.calc.GetIBZKPoints()] init.SetupMMatrix(waves, self.calc.GetBZKPoints()) c, U = init.GetListOfCoefficientsAndRotationMatrices( (self.calc.GetNumberOfBands(), fixedstates, edf)) U = np.array(U) for k in range(len(c)): c[k] = np.array(c[k]) return c, U valence = { 'H': 1, 'B': 3, 'C': 4, 'N': 5, 'O': 6, 'Li': 1, 'Na': 1, 'K': 9, 'Mg': 8, 'Ca': 10, 'Sr': 10, 'Al': 3, 'Ga': 13, 'Sc': 11, 'Ti': 12, 'V': 13, 'Cr': 14, 'Mn': 7, 'Fe': 8, 'Co': 9, 'Ni': 10, 'Cu': 11, 'Zn': 12, 'Y': 11, 'Zr': 12, 'Nb': 13, 'Mo': 6, 'Ru': 8, 'Rh': 9, 'Pd': 10, 'Ag': 11, 'Cd': 12, 'Ir': 9, 'Pt': 10, 'Au': 11, } python-ase-3.6.0.2515/ase/calculators/castep.py0000644000175400017540000022607311636303074020132 0ustar askhlaskhl#!/usr/bin/python # -*- coding: utf-8 -*- """This module defines an interface to CASTEP for use by the ASE (Webpage: http://wiki.fysik.dtu.dk/ase) Authors: Max Hoffmann, max.hoffmann@ch.tum.de Jörg Meyer, joerg.meyer@ch.tum.de """ __all__ = [ 'Castep', 'CastepCell', 'CastepParam', 'create_castep_keywords'] contact_email = 'max.hoffmann@ch.tum.de' from copy import deepcopy import difflib import numpy as np import os import re import shutil import subprocess import sys import tempfile import time import ase from ase.calculators.general import Calculator from ase.constraints import FixCartesian from ase.parallel import paropen # Adapt import path to give local versions of castep_keywords # a higher priority, assuming that personal folder will be # standardized at ~/.ase, watch [ase-developers] sys.path = ['', os.path.expanduser('~/.ase'), os.path.join(ase.__path__[0], 'calculators')] + sys.path class Castep(Calculator): r""" CASTEP Interface Documentation Introduction ============ CASTEP_ [1]_ is a software package which uses density functional theory to provide a good atomic-level description of all manner of materials and molecules. CASTEP can give information about total energies, forces and stresses on an atomic system, as well as calculating optimum geometries, band structures, optical spectra, phonon spectra and much more. It can also perform molecular dynamics simulations. The CASTEP calculator interface class offers intuitive access to all CASTEP settings and most results. All CASTEP specific settings are accessible via attribute access (*i.e*. ``calc.param.keyword = ...`` or ``calc.cell.keyword = ...``) Getting Started: ================ Set the environment variables appropriately for your system. >>> export CASTEP_COMMAND=' ... ' >>> export CASTEP_PP_PATH=' ... ' Running the Calculator ====================== The default initialization command for the CASTEP calculator is .. class:: Castep(directory='CASTEP', label='castep') To do a minimal run one only needs to set atoms, this will use all default settings of CASTEP, meaning LDA, singlepoint, etc.. With a generated castep_keywords.py in place all options are accessible by inspection, *i.e.* tab-completion. This works best when using `ipython`. All options can be accessed via ``calc.param.`` or ``calc.cell.`` and documentation is printed with ``calc.param. ?`` or ``calc.cell. ?``. All options can also be set directly using ``calc.keyword = ...`` or ``calc.KEYWORD = ...`` or even ``calc.KeYwOrD`` or directly as named arguments in the call to the constructor (*e.g.* ``Castep(task='GeometryOptimization')``). All options that go into the ``.param`` file are held in an ``CastepParam`` instance, while all options that go into the ``.cell`` file and don't belong to the atoms object are held in an ``CastepCell`` instance. Each instance can be created individually and can be added to calculators by attribute assignment, *i.e.* ``calc.param = param`` or ``calc.cell = cell``. All internal variables of the calculator start with an underscore (_). All cell attributes that clearly belong into the atoms object are blocked. Setting ``calc.atoms_attribute`` (*e.g.* ``= positions``) is sent directly to the atoms object. Arguments: ========== ========================= ==================================================== Keyword Description ========================= ==================================================== ``directory`` The relative path where all input and output files will be placed. If this does not exist, it will be created. Existing directories will be moved to directory-TIMESTAMP unless self._rename_existing_dir is set to false. ``label`` The prefix of .param, .cell, .castep, etc. files. ========================= ==================================================== Additional Settings =================== ========================= ==================================================== Internal Setting Description ========================= ==================================================== ``_castep_command`` (``=castep``): the actual shell command used to call CASTEP. ``_check_checkfile`` (``=True``): this makes write_param() only write a continue or reuse statement if the addressed .check or .castep_bin file exists in the directory. ``_copy_pspots`` (``=False``): if set to True the calculator will actually copy the needed pseudo-potential (\*.usp) file, usually it will only create symlinks. ``_export_settings`` (``=True``): if this is set to True, all calculator internal settings shown here will be included in the .param in a comment line (#) and can be read again by merge_param. merge_param can be forced to ignore this directive using the optional argument ``ignore_internal_keys=True``. ``_force_write`` (``=True``): this controls wether the \*cell and \*param will be overwritten. ``_prepare_input_only`` (``=False``): If set to True, the calculator will create \*cell und \*param file but not start the calculation itself. If this is used to prepare jobs locally and run on a remote cluster it is recommended to set ``_copy_pspots = True``. ``_castep_pp_path`` (``='.'``) : the place where the calculator will look for pseudo-potential files. ``_rename_existing_dir`` (``=True``) : when using a new instance of the calculator, this will move directories out of the way that would be overwritten otherwise, appending a date string. ``_set_atoms`` (``=False``) : setting this to True will overwrite any atoms object previously attached to the calculator when reading a \.castep file. By de- fault, the read() function will only create a new atoms object if none has been attached and other- wise try to assign forces etc. based on the atom's positions. ``_set_atoms=True`` could be necessary if one uses CASTEP's internal geometry optimization (``calc.param.task='GeometryOptimization'``) because then the positions get out of sync. *Warning*: this option is generally not recommended unless one knows one really needs it. There should never be any need, if CASTEP is used as a single-point calculator. ``_track_output`` (``=False``) : if set to true, the interface will append a number to the label on all input and output files, where n is the number of calls to this instance. *Warning*: this setting may con- sume a lot more disk space because of the additio- nal \*check files. ``_try_reuse`` (``=_track_output``) : when setting this, the in- terface will try to fetch the reuse file from the previous run even if _track_output is True. By de- fault it is equal to _track_output, but may be overridden. Since this behavior may not always be desirable for single-point calculations. Regular reuse for *e.g.* a geometry-optimization can be achieved by setting ``calc.param.reuse = True``. ========================= ==================================================== Special features: ================= ``.dryrun_ok()`` Runs ``castep_command seed -dryrun`` in a temporary directory return True if all variables initialized ok. This is a fast way to catch errors in the input. Afterwards _kpoints_used is set. ``.merge_param()`` Takes a filename or filehandler of a .param file or CastepParam instance and merges it into the current calculator instance, overwriting current settings ``.keyword.clear()`` Can be used on any option like ``calc.param.keyword.clear()`` or ``calc.cell.keyword.clear()`` to return to the CASTEP default. ``.initialize()`` Creates all needed input in the ``_directory``. This can then copied to and run in a place without ASE or even python. ``.set_pspot('')`` This automatically sets the pseudo-potential for all present species to *_.usp*. Make sure that ``_castep_pp_path`` is set correctly. ``print(calc)`` Prints a short summary of the calculator settings and atoms. ``ase.io.castep.read_seed('path-to/seed')`` Given you have a combination of seed.{param,cell,castep} this will return an atoms object with the last ionic positions in the .castep file and all other settings parsed from the .cell and .param file. If no .castep file is found the positions are taken from the .cell file. The output directory will be set to the same directory, only the label is preceded by 'copy_of\_' to avoid overwriting. Notes/Issues: ============== * Currently *only* the FixAtoms *constraint* is fully supported for reading and writing. * There is no support for the CASTEP *unit system*. Units of eV and Angstrom are used throughout. In particular when converting total energies from different calculators, one should check that the same CODATA_ version is used for constants and conversion factors, respectively. .. _CASTEP: http://www.castep.org/ .. _CODATA: http://physics.nist.gov/cuu/Constants/index.html .. [1] S. J. Clark, M. D. Segall, C. J. Pickard, P. J. Hasnip, M. J. Probert, K. Refson, M. C. Payne Zeitschrift für Kristallographie 220(5-6) pp.567- 570 (2005) `online `_ End CASTEP Interface Documentation """ # Class attributes ! # keys set through atoms object atoms_keys = [ 'charge', 'ionic_constraints', 'lattice_abs', 'lattice_cart', 'positions_abs', 'positions_abs_final', 'positions_abs_intermediate', 'positions_frac', 'positions_frac_final', 'positions_frac_intermediate', ] atoms_obj_keys = [ 'dipole', 'energy_free', 'energy_zero', 'fermi', 'forces', 'nbands', 'positions', 'stress', ] internal_keys = [ '_castep_command', '_check_checkfile', '_copy_pspots', '_directory', '_export_settings', '_force_write', '_label', '_prepare_input_only', '_castep_pp_path', '_rename_existing_dir', '_set_atoms', '_track_output', '_try_reuse', ] def __init__(self, directory='CASTEP', label='castep', castep_command=None, check_castep_version=False, castep_pp_path=None, **kwargs): self.__name__ = 'Castep' # initialize the ase.calculators.general calculator Calculator.__init__(self) from ase.io.castep import write_cell self._write_cell = write_cell castep_keywords = import_castep_keywords() self.param = CastepParam() self.cell = CastepCell() ################################### # Calculator state variables # ################################### self._calls = 0 self._castep_version = castep_keywords.castep_version # collects warning from .castep files self._warnings = [] # collects content from *.err file self._error = None # warnings raised by the ASE interface self._interface_warnings = [] # store to check if recalculation is necessary self._old_atoms = None self._old_cell = None self._old_param = None ################################### # Internal keys # # Allow to tweak the behavior # ################################### self._opt = {} self._castep_command = get_castep_command(castep_command) self._castep_pp_path = get_castep_pp_path(castep_pp_path) self._check_checkfile = True self._copy_pspots = False self._directory = os.path.abspath(directory) self._export_settings = True self._force_write = True self._label = label self._prepare_input_only = False self._rename_existing_dir = True self._set_atoms = False self._track_output = False self._try_reuse = False # will be set on during runtime self._seed = None ################################### # (Physical) result variables # ################################### self.atoms = None # initialize result variables self._forces = None self._energy_total = None self._energy_free = None self._energy_0K = None self._number_of_cell_constraints = None self._output_verbosity = None self._stress = None self._unit_cell = None self._kpoints = None # pointers to other files used at runtime self._check_file = None self._castep_bin_file = None # check version of CASTEP options module against current one if check_castep_version: local_castep_version = get_castep_version(self._castep_command) if not hasattr(self, '_castep_version'): print("No castep version found") return if not local_castep_version == self._castep_version: print(('The options module was generated from version %s\n' + 'while your are currently using CASTEP version %s') % (self._castep_version, get_castep_version(self._castep_command))) self._castep_version = local_castep_version # processes optional arguments in kw style for keyword, value in kwargs.iteritems(): self.__setattr__(keyword, value) def _castep_find_last_record(self, castep_file): """Checks wether a given castep file has a regular ending message following the last banner message. If this is the case, the line number of the last banner is message is return, otherwise False. returns (record_start, record_end, end_found, last_record_complete) """ if type(castep_file) is str: castep_file = paropen(castep_file, 'r') file_opened = True else: file_opened = False record_starts = [] while True: line = castep_file.readline() if 'Welcome' in line and 'CASTEP' in line: record_starts = [castep_file.tell()] + record_starts if not line: break if record_starts == []: print("Could not find CASTEP label in result file: %s" % castep_file) print("Are you sure this is a .castep file?") return # search for regular end of file end_found = False # start to search from record beginning from the back # and see if record_end = -1 for record_nr, record_start in enumerate(record_starts): castep_file.seek(record_start) while True: line = castep_file.readline() if not line: break if 'warn' in line.lower(): self._warnings.append(line) if 'Writing analysis data to' in line: #if 'Writing model to' in line: end_found = True record_end = castep_file.tell() break if end_found: break if file_opened: castep_file.close() if end_found: # record_nr == 0 corresponds to the last record here if record_nr == 0: return (record_start, record_end, True, True) else: return (record_start, record_end, True, False) else: return (0, record_end, False, False) def read(self, castep_file=None): """Read a castep file into the current instance.""" if castep_file is None: if self._castep_file: castep_file = self._castep_file else: print('No CASTEP file specified') return if not os.path.exists(castep_file): print('No CASTEP file found') if self._seed is None: self._seed = os.path.splitext(os.path.basename(castep_file))[0] err_file = '%s.0001.err' % self._seed if os.path.exists(err_file): err_file = paropen(err_file) self._error = err_file.read() err_file.close() # we return right-away because it might # just be here from a previous run # look for last result, if several CASTEP # run are appended out = paropen(castep_file, 'r') record_start, record_end, end_found, _\ = self._castep_find_last_record(out) if not end_found: print("No regular end found in %s file" % castep_file) print(self._error) out.close() return # we return here, because the file has no a regular end # now iterate over last CASTEP output in file to extract information # could be generalized as well to extract trajectory from file # holding several outputs n_cell_const = 0 forces = [] stress = [] out.seek(record_start) while True: try: line = out.readline() if not line or out.tell() > record_end: break elif "output verbosity" in line: iprint = int(line.split()[-1][1]) if int(iprint) != 1: self.param.iprint = iprint elif "Unit Cell" in line: lattice_real = [] lattice_reci = [] while True: line = out.readline() fields = line.split() if len(fields) == 6: break for i in range(3): lattice_real.append(map(float, fields[0:3])) lattice_reci.append(map(float, fields[3:7])) line = out.readline() fields = line.split() elif "Cell Contents" in line: while True: line = out.readline() if "Total number of ions in cell" in line: n_atoms = int(line.split()[7]) if "Total number of species in cell" in line: _ = int(line.split()[7]) fields = line.split() if len(fields) == 0: break elif "Fractional coordinates of atoms" in line: species = [] positions_frac = [] # positions_cart = [] while True: line = out.readline() fields = line.split() if len(fields) == 7: break for n in range(n_atoms): species.append(fields[1]) positions_frac.append(map(float, fields[3:6])) line = out.readline() fields = line.split() elif "Files used for pseudopotentials" in line: while True: line = out.readline() if 'Pseudopotential generated on-the-fly' in line: continue fields = line.split() if (len(fields) >= 2): elem, pp_file = fields self.cell.species_pot = (elem, pp_file) else: break elif "k-Points For BZ Sampling" in line: # TODO: generalize for non-Monkhorst Pack case # (i.e. kpoint lists) - # kpoints_offset cannot be read this way and # is hence always set to None while True: line = out.readline() if not line.strip(): break if "MP grid size for SCF calculation" in line: #kpoints = ' '.join(line.split()[-3:]) #self.kpoints_mp_grid = kpoints #self.kpoints_mp_offset = '0. 0. 0.' # not set here anymore because otherwise # two calculator objects go out of sync # after each calculation triggering unecessary # recalculation break elif "Symmetry and Constraints" in line: self.read_symops(castep_castep=out) elif "Number of cell constraints" in line: n_cell_const = int(line.split()[4]) elif "Final energy" in line: self._energy_total = float(line.split()[-2]) elif "Final free energy" in line: self._energy_free = float(line.split()[-2]) elif "NB est. 0K energy" in line: self._energy_0K = float(line.split()[-2]) # remember to remove constraint labels in force components # (lacking a space behind the actual floating point number in # the CASTEP output) elif "******************** Forces *********************"\ in line or\ "************** Symmetrised Forces ***************"\ in line: fix = [] fix_cart = [] forces = [] while True: line = out.readline() fields = line.split() if len(fields) == 7: break for n in range(n_atoms): consd = np.array([0, 0, 0]) fxyz = [0, 0, 0] for (i, force_component) in enumerate(fields[-4:-1]): if force_component.count("(cons'd)") > 0: consd[i] = 1 fxyz[i] = float(force_component.replace( "(cons'd)", "")) if consd.all(): fix.append(n) elif consd.any(): fix_cart.append(FixCartesian(n, consd)) forces.append(fxyz) line = out.readline() fields = line.split() elif "***************** Stress Tensor *****************"\ in line: stress = [] while True: line = out.readline() fields = line.split() if len(fields) == 6: break for n in range(3): stress.append(map(float, fields[2:5])) line = out.readline() fields = line.split() elif "BFGS: starting iteration" in line \ or "BFGS: improving iteration" in line: if n_cell_const < 6: lattice_real = [] lattice_reci = [] species = [] positions_frac = [] #positions_cart = [] forces = [] stress = [] self._stress = stress elif "BFGS: Final Configuration:" in line: break elif 'warn' in line.lower(): self._warnings.append(line) except Exception, exception: print line, print "|-> line triggered exception: " + str(exception) raise out.close() positions_frac_atoms = np.array(positions_frac) forces_atoms = np.array(forces) if self.atoms and not self._set_atoms: # compensate for internal reordering of atoms by CASTEP # to check if all atoms are assigned atoms_assigned = [False] * len(self.atoms) positions_frac_ase = self.atoms.get_scaled_positions() positions_frac_castep = (np.array(positions_frac) % 1) % 1 # % is necessary because CASTEP output may contain fractional # coordinates > 1, which does not affect the calculation though # Source: http://goo.gl/xfwri # And, yes, the % needs to be done twice, see # ase.atoms.Atoms.get_scaled_positions species_castep = list(species) forces_castep = np.array(forces) tolerance = 1E-5 for n in range(n_atoms): for m in range(n_atoms): if (np.linalg.norm(positions_frac_ase[n] \ - positions_frac_castep[m], 1) < tolerance): if atoms_assigned[n]: raise UserWarning('Castep().read() tried to' + \ ' assign forces twice to the same' + \ ' atom.\n Please file a bug report to %s' + \ ' and attach your input files.' \ % contact_email) species[n] = species_castep[m] positions_frac_atoms[n] = \ np.array(positions_frac_castep[m]) forces_atoms[n] = np.array(forces_castep[m]) atoms_assigned[n] = True if not all(atoms_assigned): print('%s atoms not assigned.' % atoms_assigned.count(False)) print('The following list is True for all assigned atoms: %s'\ % atoms_assigned) print('If you are trying to read a .castep where the atom\'s') print('positions have changed with respect to the atoms') print('object, set calc._set_atoms = True\n') print('On the other hand _set_atoms = True is not') print('recommended if CASTEP is only used as a single-point') print('calculator (e.g. in an ASE geometry optimzation)') print('as this might cause redundant recalculations.') raise UserWarning('Castep().read() did not assign forces' + \ ' and positions to all input atoms\n' + \ 'If you think it should have assigned all of them,' + \ ' please file a bug report with your input file(s)' + \ 'to\n\n\t%s' % contact_email) else: # If no atoms, object has been previously defined # we define it here and set the Castep() instance as calculator. # This covers the case that we simply want to open a .castep file. # The next time around we will have an atoms object, since # set_calculator also set atoms in the calculator. if self.atoms: constraints = self.atoms.constraints else: constraints = [] atoms = ase.atoms.Atoms(species, cell=lattice_real, constraint=constraints, pbc=True, scaled_positions=positions_frac, ) atoms.set_calculator(self) self._forces = forces_atoms if self._warnings: print("WARNING: %s contains warnings" % castep_file) for warning in self._warnings: print(warning) # reset self._warnings = [] # TODO: check that this is really backwards compatible # with previous routine with this name... def read_symops(self, castep_castep=None): """Read all symmetry operations used from a .castep file.""" if castep_castep is None: castep_castep = self._seed + ".castep" if isinstance(castep_castep, str): if not os.path.isfile(castep_castep): print('Warning: CASTEP file %s not found!' % castep_castep) f = paropen(castep_castep, 'a') while True: line = f.readline() if not line: return if "output verbosity" in line: iprint = line.split()[-1][1] # filter out the default if int(iprint) != 1: self.param.iprint = iprint if "Symmetry and Constraints" in line: break elif isinstance(castep_castep, file): f = castep_castep else: raise TypeError('read_castep_castep_symops: castep_castep is' \ + 'not of type file or str!') if self.param.iprint is None or self.param.iprint < 2: self._interface_warnings.append('Warning: No symmetry' \ + 'operations could be read from %s (iprint < 2).' % f.name) return while True: line = f.readline() if not line: break if "Number of symmetry operations" in line: nsym = int(line.split()[5]) # print "nsym = %d" % nsym # information about symmetry related atoms currently not read symmetry_operations = [] for _ in range(nsym): rotation = [] displacement = [] while True: if "rotation" in f.readline(): break for _ in range(3): line = f.readline() rotation.append(map(float, line.split()[1:4])) while True: if "displacement" in f.readline(): break line = f.readline() displacement = map(float, line.split()[1:4]) symop = {'rotation': rotation, 'displacement': displacement} self.symmetry_ops = symop self.symmetry = symmetry_operations print "Symmetry operations successfully read from %s" % f.name print self.cell.symmetry_ops break if isinstance(castep_castep, str): f.close() # return self.symmetry def set_label(self, label): """The label is part of each seed, which in turn is a prefix in each CASTEP related file. """ self._label = label def set_pspot(self, pspot, elems=None, notelems=None, clear=True): """Quickly set all pseudo-potentials: Usually CASTEP psp are named like _.usp so this function function only expects the . It then clears any previous pseudopotential settings apply the one with for each element in the atoms object. The optional elems and notelems arguments can be used to exclusively assign to some species, or to exclude with notelemens. """ if clear and not elems and not notelems: self.cell.species_pot.clear() for elem in set(self.atoms.get_chemical_symbols()): if elems is not None and elem not in elems: continue if notelems is not None and elem in notelems: continue self.cell.species_pot = (elem, '%s_%s.usp' % (elem, pspot)) def get_forces(self, atoms): """Run CASTEP calculation if needed and return forces.""" self.update(atoms) return np.array(self._forces) def get_total_energy(self, atoms): """Run CASTEP calculation if needed and return total energy.""" self.update(atoms) return self._energy_total def get_free_energy(self, atoms): """Run CASTEP calculation if needed and return free energy. Only defined with smearing.""" self.update(atoms) return self._energy_free def get_0K_energy(self, atoms): """Run CASTEP calculation if needed and return 0K energy. Only defined with smearing.""" self.update(atoms) return self._energy_0K #here for compatability with ase/calculators/general.py #but accessing only _name variables def get_potential_energy(self, atoms, force_consistent=False): """Return the total potential energy.""" self.update(atoms) if force_consistent: return self._energy_free else: if self._energy_0K is not None: return self._energy_0K else: return self._energy_total def get_stress(self, atoms): """Return the stress.""" self.update(atoms) return self._stress def get_unit_cell(self, atoms): """Return the unit cell.""" self.update(atoms) return self._unit_cell def get_kpoints(self, atoms): """Return the kpoints.""" self.update(atoms) return self._kpoints def get_number_cell_constraints(self, atoms): """Return the number of cell constraints.""" self.update(atoms) return self._number_of_cell_constraints def set_atoms(self, atoms): """Sets the atoms for the calculator and vice versa.""" atoms.pbc = [True, True, True] self.__dict__['atoms'] = atoms.copy() self.atoms._calc = self def update(self, atoms): """Checks if atoms object or calculator changed and runs calculation if so. """ if self.calculation_required(atoms): self.calculate(atoms) def calculation_required(self, atoms, _=None): """Checks wether anything changed in the atoms object or CASTEP settings since the last calculation using this instance. """ if not self.atoms == self._old_atoms: return True if self._old_param is None or self._old_cell is None: return True if not self.param._options == self._old_param._options: return True if not self.cell._options == self._old_cell._options: return True return False def calculate(self, atoms): """Write all necessary input file and call CASTEP.""" self.prepare_input_files(atoms, force_write=self._force_write) if not self._prepare_input_only: self.run() self.read() def push_oldstate(self): """This function pushes the current state of the (CASTEP) Atoms object onto the previous state. Or in other words after calling this function, calculation_required will return False and enquiry functions just report the current value, e.g. get_forces(), get_potential_energy(). """ # make a snapshot of all current input # to be able to test if recalculation # is necessary self._old_atoms = self.atoms.copy() self._old_param = deepcopy(self.param) self._old_cell = deepcopy(self.cell) def initialize(self, *args, **kwargs): """Just an alias for prepar_input_files to comply with standard function names in ASE. """ self.prepare_input_files(*args, **kwargs) def prepare_input_files(self, atoms=None, force_write=None): """Only writes the input .cell and .param files and return This can be useful if one quickly needs to prepare input files for a cluster where no python or ASE is available. One can than upload the file manually and read out the results using Castep().read(). """ if self.param.reuse.value is None: print("You have not set e.g. calc.param.reuse = True") print("Reusing a previous calculation saves a lot of CPU time!\n") print("The interface will make sure, that there is .check") print("file before adding this statement to the .param file.\n") if self.param.num_dump_cycles.value is None: print("You have not set e.g. calc.param.num_dump_cycles = 0.") print("This can save a lot of disk space. One only needs *wvfn*") print("if electronic convergence isn't achieved in one go.\n") from ase.io.castep import write_param if atoms is None: atoms = self.atoms else: self.atoms = atoms if force_write is None: force_write = self._force_write # if we have new instance of the calculator, # move existing results out of the way, first if os.path.isdir(self._directory)\ and self._calls == 0 \ and self._rename_existing_dir: if os.listdir(self._directory) == []: os.rmdir(self._directory) else: # rename appending creation date of the directory ctime = time.localtime(os.lstat(self._directory).st_ctime) os.rename(self._directory, '%s.bak-%s' % (self._directory, time.strftime("%Y%m%d-%H%M%S", ctime))) # create work directory if not os.path.isdir(self._directory): os.mkdir(self._directory, 0775) if self._calls == 0: self._fetch_pspots() cwd = os.getcwd() os.chdir(self._directory) # if _try_reuse is requested and this # is not the first run, we try to find # the .check file from the previous run # this is only necessary if _track_output # is set to true if self._try_reuse and self._calls > 0: if os.path.exists(self._check_file): self.param.reuse = self._check_file elif os.path.exists(self._castep_bin_file): self.param.reuse = self._castep_bin_file self._seed = self._build_castep_seed() self._check_file = '%s.check' % self._seed self._castep_bin_file = '%s.castep_bin' % self._seed self._castep_file = os.path.abspath('%s.castep' % self._seed) # write out the input file self._write_cell('%s.cell' % self._seed, self.atoms, force_write=force_write) if self._export_settings: interface_options = self._opt else: interface_options = None write_param('%s.param' % self._seed, self.param, check_checkfile=True, force_write=force_write, interface_options=interface_options,) os.chdir(cwd) def _build_castep_seed(self): """Abstracts to construction of the final castep with and without _tracking_output. """ if self._track_output: return "%s-%06d" % (self._label, self._calls) else: return "%s" % (self._label) def run(self): """Simply call castep. If the first .err file contains text, this will be printed to the screen. """ # change to target directory cwd = os.getcwd() os.chdir(self._directory) self._calls += 1 # run castep itself stdout, stderr = shell_stdouterr('%s %s' % (self._castep_command, self._seed)) if stdout: print('castep call stdout:\n%s' % stdout) if stderr: print('castep call stderr:\n%s' % stderr) self.push_oldstate() # check for non-empty error files err_file = '%s.0001.err' % self._seed if os.path.exists(err_file): err_file = open(err_file) self._error = err_file.read() err_file.close() os.chdir(cwd) if self._error: print(self._error) def __repr__(self): """Returns generic, fast to capture representation of CASTEP settings along with atoms object. """ expr = '' expr += '-----------------Atoms--------------------\n' if self.atoms is not None: expr += str('%20s\n' % self.atoms) else: expr += 'None\n' expr += '-----------------Param keywords------------\n' expr += str(self.param) expr += '-----------------Cell keywords------------\n' expr += str(self.cell) expr += '-----------------Internal keys------------\n' for key in self.internal_keys: expr += '%20s : %s\n' % (key, self._opt[key]) return expr def __getattr__(self, attr): """___getattr___ gets overloaded to reroute the internal keys and to be able to easily store them in in the param so that they can be read in again in subsequent calls. """ if attr in self.internal_keys: return self._opt[attr] if attr in ['__repr__', '__str__']: raise AttributeError elif attr not in self.__dict__: raise AttributeError else: return self.__dict__[attr] def __setattr__(self, attr, value): """We overload the settattr method to make value assignment as pythonic as possible. Internal values all start with _. Value assigment is case insensitive! """ if attr.startswith('_'): # internal variables all start with _ # let's check first if they are close but not identical # to one of the switches, that the user accesses directly similars = difflib.get_close_matches(attr, self.internal_keys, cutoff=0.9) if attr not in self.internal_keys and similars: print('Warning: You probably tried one of: %s' % similars) print('but typed %s' % attr) if attr in self.internal_keys: self._opt[attr] = value if attr == '_track_output': if value: self._try_reuse = True print('You switched _track_output on. This will') print('consume a lot of disk-space. The interface') print('also switched _try_reuse on, which will') print('try to find the last check file. Set') print('_try_reuse = False, if you need') print('really separate calculations') elif '_try_reuse' in self._opt and self._try_reuse: self._try_reuse = False print("_try_reuse is set to False, too") else: self.__dict__[attr] = value return elif attr in ['atoms', 'cell', 'param']: if value is not None: if attr == 'atoms' and not isinstance(value, ase.atoms.Atoms): raise TypeError('%s is not an instance of ase.atoms.Atoms.' % value) elif attr == 'cell' and not isinstance(value, CastepCell): raise TypeError('%s is not an instance of CastepCell.' % value) elif attr == 'param' and not isinstance(value, CastepParam): raise TypeError('%s is not an instance of CastepParam.' % value) # These 3 are accepted right-away, no matter what self.__dict__[attr] = value return elif attr in self.atoms_obj_keys: # keywords which clearly belong to the atoms object are # rerouted to go there self.atoms.__dict__[attr] = value return elif attr in self.atoms_keys: # CASTEP keywords that should go into the atoms object # itself are blocked print(("Ignoring setings of '%s', since this has to be set\n" + "through the atoms object") % attr) return attr = attr.lower() if attr not in (self.cell._options.keys()\ + self.param._options.keys()): # what is left now should be meant to be a castep keyword # so we first check if it defined, and if not offer some error # correction similars = difflib.get_close_matches(attr, self.cell._options.keys() + self.param._options.keys()) if similars: raise UserWarning(('Option "%s" not known! You mean "%s"?') % (attr, similars[0])) else: raise UserWarning('Option "%s" is not known!' % attr) # here we know it must go into one of the component param or cell # so we first determine which one if attr in self.param._options.keys(): comp = 'param' elif attr in self.cell._options.keys(): comp = 'cell' else: raise UserWarning('Programming error: could not attach ' \ + 'the keyword to an input file') self.__dict__[comp].__setattr__(attr, value) def merge_param(self, param, overwrite=True, ignore_internal_keys=False): """Parse a param file and merge it into the current parameters.""" INT_TOKEN = 'ASE_INTERFACE' if isinstance(param, CastepParam): for key, option in param._options.iteritems(): if option.value is not None: self.param.__setattr__(key, option.value) return elif type(param) is str: param_file = open(param, 'r') elif type(param) is file: param_file = param else: print("The param filename is neither a string nor a filehandler") return for i, line in enumerate(param_file.readlines()): line = line.strip() # remove comments for comment_char in ['#', ';', '!']: if comment_char in line: if INT_TOKEN in line: # This block allows to read internal settings from # a *param file iline = line[line.index(INT_TOKEN) + len(INT_TOKEN):] if iline.split()[0] in self.internal_keys \ and not ignore_internal_keys: value = ' '.join(iline.split()[2:]) if value in ['True', 'False']: self._opt[iline.split()[0]] = eval(value) else: self._opt[iline.split()[0]] = value line = line[:line.index(comment_char)] # if nothing remains if not line.strip(): continue line = re.sub(':', ' ', line) if line == 'reuse': self.param.reuse.value = 'default' continue if line == 'continuation': self.param.continuation.value = 'default' continue try: key, value = line.split() except: print("Could not parse line %s of your param file: %s" % (i, line)) raise UserWarning("Seems to me malformed") if not overwrite and getattr(self.param, key).value is not None: continue self.__setattr__(key, value) def dryrun_ok(self, dryrun_flag='-dryrun'): """Starts a CASTEP run with the -dryrun flag [default] in a temporary and check wether all variables are initialized correctly. This is recommended for every bigger simulation. """ from ase.io.castep import write_param temp_dir = tempfile.mkdtemp() curdir = os.getcwd() self._fetch_pspots(temp_dir) os.chdir(temp_dir) self._fetch_pspots(temp_dir) seed = 'dryrun' cell_written = self._write_cell('%s.cell' % seed, self.atoms) if not cell_written: print "%s.cell not written - aborting dryrun" % seed return write_param('%s.param' % seed, self.param, ) stdouterr = shell_stdouterr(('%s %s %s' % (self._castep_command, seed, dryrun_flag))) if stdouterr: print(stdouterr) result_file = open('%s.castep' % seed) txt = result_file.read() ok_string = r'.*DRYRUN finished.*No problems found with input files.*' match = re.match(ok_string, txt, re.DOTALL) try: self._kpoints_used = int( re.search( r'Number of kpoints used = *([0-9]+)', txt).group(1)) except: print('Couldn\'t fetch number of kpoints from dryrun CASTEP file') err_file = '%s.0001.err' % seed if match is None and os.path.exists(err_file): err_file = open(err_file) self._error = err_file.read() err_file.close() result_file.close() os.chdir(curdir) shutil.rmtree(temp_dir) # re.match return None is the string does not match return match is not None # this could go into the Atoms() class at some point... def _get_number_in_species(self, at, atoms=None): """Return the number of the atoms within the set of it own species. If you are an ASE commiter: why not move this into ase.atoms.Atoms ?""" if atoms is None: atoms = self.atoms numbers = atoms.get_atomic_numbers() n = numbers[at] nis = numbers.tolist()[:at + 1].count(n) return nis def _get_absolute_number(self, species, nic, atoms=None): """This is the inverse function to _get_number in species.""" if atoms is None: atoms = self.atoms ch = atoms.get_chemical_symbols() ch.reverse() total_nr = 0 assert nic > 0, 'Number in species needs to be 1 or larger' while True: if ch.pop() == species: if nic == 1: return total_nr nic -= 1 total_nr += 1 def _fetch_pspots(self, directory=None): """Print all specified pseudo-potentials into the working directory. """ if directory is None: directory = self._directory if not os.path.isdir(self._castep_pp_path): print("PSPs directory %s not found" % self._castep_pp_path) pspots = {} if self.cell.species_pot.value is not None: for line in self.cell.species_pot.value.split('\n'): line = line.split() if line: pspots[line[0]] = line[1] for species in self.atoms.get_chemical_symbols(): if not pspots or species not in pspots.keys(): print("Warning: you have no PP specified for %s." % species) print("CASTEP will now generate an on-the-fly potentials.") print("For sake of numerical consistency and efficiency") print("this is discouraged.") if self.cell.species_pot.value: for (species, pspot) in pspots.iteritems(): orig_pspot_file = os.path.join(self._castep_pp_path, pspot) cp_pspot_file = os.path.join(directory, pspot) if os.path.exists(orig_pspot_file)\ and not os.path.exists(cp_pspot_file): if self._copy_pspots: shutil.copy(orig_pspot_file, directory) else: os.symlink(os.path.join(self._castep_pp_path, pspot), cp_pspot_file) def get_castep_version(castep_command): """This returns the version number as printed in the CASTEP banner. """ temp_dir = tempfile.mkdtemp() curdir = os.getcwd() os.chdir(temp_dir) jname = 'dummy_jobname' stdout, stderr = "", "" try: stdout, stderr = subprocess.Popen(castep_command.split() + [jname, '-dryrun'], stderr=subprocess.PIPE, stdout=subprocess.PIPE, cwd=temp_dir).communicate() except: msg = "" msg += "Could not determine the version of your CASTEP binary \n" msg += "This usually means one of the following \n" msg += " * you don't have CASTEP installed \n" msg += " * you have not set the CASTEP_COMMAND to call it \n" msg += " * you have provided a wrong CASTEP_COMMAND. \n" msg += " Make sure it is in your PATH\n\n" msg += stdout msg += stderr raise Exception(msg) output = open('%s.castep' % jname) output_txt = output.readlines() output.close() os.chdir(curdir) shutil.rmtree(temp_dir) for line in output_txt: if 'CASTEP version' in line: return float(re.findall(r'(?<=CASTEP version )[0-9.]*', line)[0]) def create_castep_keywords(castep_command, filename='castep_keywords.py', force_write=True, path='.', fetch_only=None): """This function allows to fetch all available keywords from stdout of an installed castep binary. It furthermore collects the documentation to harness the power of (ipython) inspection and type for some basic type checking of input. All information is stored in two 'data-store' objects that are not distributed by default to avoid breaking the license of CASTEP. """ # Takes a while ... # Fetch all allowed parameters # fetch_only : only fetch that many parameters (for testsuite only) code = {} suffixes = ['cell', 'param'] for suffix in suffixes: code[suffix] = '' if os.path.exists(filename) and not force_write: print('CASTEP Options Module file exists.') print('You can overwrite it by calling') print('python castep.py -f [CASTEP_COMMAND].') return False fh = open(os.path.join(path, filename), 'w') fh.write('"""This file is generated by') fh.write('ase/calculators/castep.py\n') fh.write('and is not distributed with ASE to avoid breaking') fh.write('CASTEP copyright\n"""\n') fh.write('class Opt:\n') fh.write(' """"A CASTEP option"""\n') fh.write(""" def __init__(self): self.keyword = None self.level = None self.type = None self.type = None def clear(self): \"\"\"Reset the value of the option to None again\"\"\" self.value = None\n""") fh.write(' def __repr__(self):\n') fh.write(' expr = \'\'\n') fh.write(' if self.value:\n') fh.write(' expr += \'Option: %s(%s, %s):\\n%s\\n\''\ + '% (self.keyword, self.type, self.level, self.value)\n') fh.write(' else:\n') fh.write(' expr += \'Option: %s[unset]\' % self.keyword\n') fh.write(' expr += \'(%s, %s)\' % (self.type, self.level)\n') fh.write(' return expr\n\n') fh.write("""class ComparableDict(dict): \"\"\"Extends a dict to make to sets of options comparable\"\"\" def __init__(self): dict.__init__(self) def __ne__(self, other): return not self.__eq__(other) def __eq__(self, other): if not isinstance(other, ComparableDict): return False if set(self) - set(other): return False for key in sorted(self): if self[key].value != other[key].value: return False return True\n""") code['cell'] += '\n\nclass CastepCellDict(object):\n' code['param'] += '\n\nclass CastepParamDict(object):\n' types = [] levels = [] for suffix in suffixes: code[suffix] += ' """A flat object that holds %s options"""\n'\ % suffix code[suffix] += ' def __init__(self):\n' code[suffix] += ' object.__init__(self)\n' code[suffix] += ' self._options = ComparableDict()\n' castep_version = get_castep_version(castep_command) help_all, _ = shell_stdouterr('%s -help all' % castep_command) # Filter out proper keywords try: raw_options = re.findall(r'(?<=^ )[A-Z_]+', help_all, re.MULTILINE) except: print('Problem parsing: %s' % help_all) raise processed_options = 0 for option in raw_options[:fetch_only]: doc, _ = shell_stdouterr('%s -help %s' % (castep_command, option)) # Stand Back! I know regular expressions (http://xkcd.com/208/) :-) match = re.match(r'(?P.*)Type: (?P[^ ]+).*' + \ r'Level: (?P[^ ]+)\n\s*\n' + \ r'(?P.*?)(\n\s*\n|$)', doc, re.DOTALL) if match is not None: match = match.groupdict() processed_options += 1 if re.findall(r'PARAMETERS keywords:\n\n None found', doc): suffix = 'cell' else: suffix = 'param' sys.stdout.write('.') sys.stdout.flush() code[suffix] += ' opt_obj = Opt()\n' code[suffix] += (' opt_obj.keyword = \'%s\'\n' % option.lower()) if 'type' in match: code[suffix] += (' opt_obj.type = \'%s\'\n' % match['type']) if match['type'] not in types: types.append(match['type']) else: raise Exception('Found no type for %s' % option) if 'level' in match: code[suffix] += (' opt_obj.level = \'%s\'\n' % match['level']) if match['level'] not in levels: levels.append(match['level']) else: raise Exception('Found no level for %s' % option) if 'doc' in match: code[suffix] += (' opt_obj.__doc__ = """%s\n"""\n' % match['doc']) else: raise Exception('Found no doc string for %s' % option) code[suffix] += (' opt_obj.value = None\n') code[suffix] += (' self._options[\'%s\'] = opt_obj\n\n' % option.lower()) code[suffix] += (' self.__dict__[\'%s\'] = opt_obj\n\n' % option.lower()) else: sys.stdout.write(doc) sys.stdout.flush() raise Exception('create_castep_keywords: Could not process %s' % option) # write classes out for suffix in suffixes: fh.write(code[suffix]) fh.write('types = %s\n' % types) fh.write('levels = %s\n' % levels) fh.write('castep_version = %s\n\n' % castep_version) fh.close() print('\nCASTEP v%s, fetched %s keywords' % (castep_version, processed_options)) return True class CastepParam(object): """CastepParam abstracts the settings that go into the .param file""" def __init__(self): object.__init__(self) castep_keywords = import_castep_keywords() castep_param_dict = castep_keywords.CastepParamDict() self._options = castep_param_dict._options self.__dict__.update(self._options) def __repr__(self): expr = '' if filter(lambda x: x.value is not None, self._options.values()): for key, option in sorted(self._options.iteritems()): if option.value is not None: expr += ("%20s : %s\n" % (key, option.value)) else: expr += 'Default\n' return expr def __setattr__(self, attr, value): if attr.startswith('_'): self.__dict__[attr] = value return if attr not in self._options.keys(): similars = difflib.get_close_matches(attr, self._options.keys()) if similars: raise UserWarning(('Option "%s" not known! You mean "%s"?') % (attr, similars[0])) else: raise UserWarning('Option "%s" is not known!' % attr) attr = attr.lower() opt = self._options[attr] if not opt.type == 'Block' and type(value) is str: value = value.replace(':', ' ') if opt.type in ['Boolean', 'Defined']: if False: pass else: try: value = bool(eval(str(value).title())) except: raise ConversionError('bool', attr, value) self._options[attr].value = value elif opt.type == 'String': if attr == 'reuse': if self._options['continuation'].value: print('Cannot set reuse if continuation is set, and') print('vice versa. Set the other to None, if you want') print('this setting.') else: if value is True: self._options['reuse'].value = 'default' else: self._options['reuse'].value = str(value) elif attr == 'continuation': if self._options['reuse'].value: print('Cannot set continuation if reuse is set, and') print('vice versa. Set the other to None, if you want') print('this setting.') else: if value is True: self._options['continuation'].value = 'default' else: self._options['continuation'].value = str(value) else: try: value = str(value) except: raise ConversionError('str', attr, value) self._options[attr].value = value elif opt.type == 'Integer': if False: pass else: try: value = int(value) except: raise ConversionError('int', attr, value) self._options[attr].value = value elif opt.type in ['Real', 'Physical']: # Usage of the CASTEP unit system is not implemented for now. # We assume, that the user is happy with setting/getting the # CASTEP default units refer to http://goo.gl/bqYf2 # page 13, accessed Apr 6, 2011 try: value = float(value) except: raise ConversionError('float', attr, value) self._options[attr].value = value # So far there is no block type in .param else: raise RuntimeError("Caught unhandled option: %s = %s" % (attr, value)) class CastepCell(object): """CastepCell abstracts all setting that go into the .cell file""" def __init__(self): object.__init__(self) castep_keywords = import_castep_keywords() castep_cell_dict = castep_keywords.CastepCellDict() self._options = castep_cell_dict._options self.__dict__.update(self._options) def __repr__(self): expr = '' if filter(lambda x: x.value is not None, self._options.values()): for key, option in sorted(self._options.iteritems()): if option.value is not None: expr += ("%20s : %s\n" % (key, option.value)) else: expr += 'Default\n' return expr def __setattr__(self, attr, value): if attr.startswith('_'): self.__dict__[attr] = value return if attr not in self._options.keys(): similars = difflib.get_close_matches(attr, self._options.keys()) if similars: raise UserWarning(('Option "%s" not known! You mean "%s"?') % (attr, similars[0])) else: raise UserWarning('Option "%s" is not known!' % attr) return attr = attr.lower() opt = self._options[attr] if not opt.type == 'Block' and type(value) is str: value = value.replace(':', ' ') if opt.type in ['Boolean', 'Defined']: try: value = bool(eval(str(value).title())) except: raise ConversionError('bool', attr, value) self._options[attr].value = value elif opt.type == 'String': if False: pass else: try: value = str(value) except: raise ConversionError('str', attr, value) self._options[attr].value = value elif opt.type == 'Integer': if attr == 'kpoint_mp_grid': opt = self._options['kpoints_mp_grid'] if attr in ['kpoints_mp_grid', 'kpoint_mp_grid']: if ',' in value: value = value.replace(',', ' ') if type(value) is str and len(value.split()) == 3: try: _ = [int(x) for x in value.split()] except: raise ConversionError('int', attr, value) opt.value = value else: print('Wrong format for kpoints_mp_grid: expected R R R') print('and you said %s' % value) else: try: value = int(value) except: raise ConversionError('int', attr, value) self._options[attr].value = value elif opt.type in ['Real', 'Physical']: if attr == 'kpoint_mp_offset': opt = self._options['kpoints_mp_offset'] if attr in ['kpoints_mp_offset', 'kpoint_mp_offset']: if type(value) is str and len(value.split()) == 3: try: _ = [float(x) for x in value.split()] except: raise ConversionError('float', attr, value) opt.value = value else: try: value = float(value) except: raise ConversionError('float', attr, value) self._options[attr].value = value elif opt.type == 'Block': if attr == 'species_pot': if type(value) is not tuple \ or len(value) != 2: print("Please specify pseudopotentials in python as") print("a tuple, like:") print("(species, file), e.g. ('O', 'path-to/O_OTFG.usp')") print("Anything else will be ignored") else: if self.__dict__['species_pot'].value is None: self.__dict__['species_pot'].value = '' self.__dict__['species_pot'].value = \ re.sub(r'\n?\s*%s\s+.*' % value[0], '', self.__dict__['species_pot'].value) if value[1]: self.__dict__['species_pot'].value += '\n%s %s' \ % value # now sort lines as to match the CASTEP output pspots = self.__dict__['species_pot'].value.split('\n') # throw out empty lines pspots = filter(lambda x: x, pspots) # sort based on atomic numbers pspots.sort(key=lambda x: ase.data.atomic_numbers[ x.split()[0]]) # rejoin; the first blank-line # makes the print(calc) output look prettier self.__dict__['species_pot'].value = \ '\n' + '\n'.join(pspots) return elif attr == 'symmetry_ops': if type(value) is not dict \ or not 'rotation' in value \ or not len(value['rotation']) == 3 \ or not len(value['displacement']) == 3 \ or not 'displacement' in value: print("Cannot process your symmetry_op %s" % value) print("It has statet like {'rotation':[a, b, c], ") print(" 'displacement': [x, y, z]}") return if self.__dict__['symmetry_ops'].value is None: self.__dict__['symmetry_ops'].value = '' n = (len(self.__dict__['symmetry_ops'].value.split('\n')) / 4) + 1 for i in range(3): self.__dict__['symmetry_ops'].value += \ (("%9.6f " * 3 + "! rotation %5d\n")\ % (tuple(value['rotation'][i] + (n, )))) self.__dict__['symmetry_ops'].value\ += (("%9.6f " * 3 + "! displacement %5d \n")\ % (tuple(value['displacement'] + (n, )))) elif attr in ['positions_abs_intermediate', 'positions_abs_product']: if not isinstance(value, ase.atoms.Atoms): raise UserWarning('castep.cell.%s expects Atoms object' % attr) target = self.__dict__[attr] target.value = '' for elem, pos in zip(value.get_chemical_symbols(), value.get_positions()): target.value += ('%4s %9.6f %9.6f %9.6f\n' % (elem, pos[0], pos[1], pos[2])) return elif attr in ['cell_constraints']: # put block type options here, that don't need special care try: value = str(value) except: raise ConversionError('str', attr, value) else: print('Not implemented') print('The option %s is of block type, which usually' % attr) print('needs some special care to get the formattings right.') print('Please feel free to add it and send the') print('patch to %s, so we can all benefit.' % contact_email) raise self._options[attr].value = value else: raise RuntimeError('Caught unhandled option: %s = %s' % (attr, value)) class ConversionError(Exception): """Print customized error for options that are not converted correctly and point out that they are maybe not implemented, yet""" def __init__(self, key_type, attr, value): Exception.__init__(self) self.key_type = key_type self.value = value self.attr = attr def __str__(self): return "Could not convert %s = %s to %s\n" \ % (self.attr, self.value, self.key_type) \ + "This means you either tried to set a value of the wrong\n"\ + "type or this keyword needs some special care. Please feel\n"\ + "to add it to the corresponding __setattr__ method and send\n"\ + "the patch to max.hoffmann@tum.de, so we can all benefit." def get_castep_pp_path(castep_pp_path=''): """Abstract the quest for a CASTEP PSP directory.""" if castep_pp_path: return os.path.abspath(os.path.expanduser(castep_pp_path)) elif 'CASTEP_PP_PATH' in os.environ: return os.environ['CASTEP_PP_PATH'] else: return os.path.abspath('.') def get_castep_command(castep_command=''): """Abstract the quest for a castep_command string.""" if castep_command: return castep_command elif 'CASTEP_COMMAND' in os.environ: return os.environ['CASTEP_COMMAND'] else: return 'castep' def shell_stdouterr(raw_command): """Abstracts the standard call of the commandline, when we are only interested in the stdout and stderr """ stdout, stderr = subprocess.Popen(raw_command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True).communicate() return stdout.strip(), stderr.strip() def import_castep_keywords(): try: import castep_keywords except ImportError: print(""" Generating castep_keywords.py ... hang on. The castep_keywords.py contains abstractions for CASTEP input parameters (for both .cell and .param input files), including some format checks and descriptions. The latter are extracted from the internal online help facility of a CASTEP binary, thus allowing to easily keep the calculator synchronized with (different versions of) the CASTEP code. Consequently, avoiding licensing issues (CASTEP is distributed commercially by accelrys), we consider it wise not to provide castep_keywords.py in the first place. """) create_castep_keywords(get_castep_command()) print("""\n\n Stored castep_keywords.py in %s. Copy castep_keywords.py to your ASE installation under ase/calculators for system-wide installation """ % os.path.abspath(os.path.curdir)) import castep_keywords return castep_keywords if __name__ == '__main__': print("When called directly this calculator will fetch all available") print("keywords from the binarys help function into a castep_keywords.py") print("in the current directory %s" % os.getcwd()) print("For system wide usage, it can be copied into an ase installation") print("at ASE/calculators.\n") print("This castep_keywords.py usually only needs to be generated once") print("for a CASTEP binary/CASTEP version.") import optparse parser = optparse.OptionParser() parser.add_option('-f', '--force-write', dest='force_write', help='Force overwriting existing castep_keywords.py', default=False, action='store_true') (options, args) = parser.parse_args() if args: opt_castep_command = ''.join(args) else: opt_castep_command = '' generated = create_castep_keywords(get_castep_command(opt_castep_command), force_write=options.force_write) if generated: try: execfile('castep_keywords.py') except Exception, e: print(e) print("Ooops, something went wrong with the CASTEP keywords") else: print("Import works. Looking good!") python-ase-3.6.0.2515/ase/calculators/siesta.py0000644000175400017540000007446311677451176020163 0ustar askhlaskhl"""This module defines an ASE interface to SIESTA. http://www.uam.es/departamentos/ciencias/fismateriac/siesta """ import os from os.path import join, isfile, islink, getmtime from cmath import exp import array import numpy as np from ase.data import chemical_symbols from ase.units import Rydberg, fs from ase.io.siesta import read_rho, read_fdf, read_struct from ase.io.cube import read_cube_data class Siesta: """Class for doing SIESTA calculations. The default parameters are very close to those that the SIESTA Fortran code would use. These are the exceptions:: calc = Siesta(label='siesta', xc='LDA', pulay=5, mix=0.1) Use the set_fdf method to set extra FDF parameters:: calc.set_fdf('PAO.EnergyShift', 0.01 * Rydberg) """ def __init__(self, label='siesta', xc='LDA', kpts=None, nbands=None, width=None, meshcutoff=None, charge=None, pulay=5, mix=0.1, maxiter=120, basis=None, ghosts=[], write_fdf=True): """Construct SIESTA-calculator object. Parameters ========== label: str Prefix to use for filenames (label.fdf, label.txt, ...). Default is 'siesta'. xc: str Exchange-correlation functional. Must be one of LDA, PBE, revPBE, RPBE. kpts: list of three int Monkhost-Pack sampling. nbands: int Number of bands. width: float Fermi-distribution width in eV. meshcutoff: float Cutoff energy in eV for grid. charge: float Total charge of the system. pulay: int Number of old densities to use for Pulay mixing. mix: float Mixing parameter between zero and one for density mixing. write_fdf: bool Use write_fdf=False to use your own fdf-file. Examples ======== Use default values: >>> h = Atoms('H', calculator=Siesta()) >>> h.center(vacuum=3.0) >>> e = h.get_potential_energy() """ self.name = 'Siesta' self.label = label#################### != out self.xc = xc self.kpts = kpts self.nbands = nbands self.width = width self.meshcutoff = meshcutoff self.charge = charge self.pulay = pulay self.mix = mix self.maxiter = maxiter self.basis = basis self.ghosts = ghosts self.write_fdf_file = write_fdf self.converged = False self.fdf = {} self.e_fermi = None def update(self, atoms): if (not self.converged or len(self.numbers) != len(atoms) or (self.numbers != atoms.get_atomic_numbers()).any()): self.initialize(atoms) self.calculate(atoms) elif ((self.positions != atoms.get_positions()).any() or (self.pbc != atoms.get_pbc()).any() or (self.cell != atoms.get_cell()).any()): self.calculate(atoms) def initialize(self, atoms): self.numbers = atoms.get_atomic_numbers().copy() self.species = [] for a, Z in enumerate(self.numbers): if a in self.ghosts: Z = -Z if Z not in self.species: self.species.append(Z) if 'SIESTA_PP_PATH' in os.environ: pppaths = os.environ['SIESTA_PP_PATH'].split(':') else: pppaths = [] for Z in self.species: symbol = chemical_symbols[abs(Z)] name = symbol + '.vps' name1 = symbol + '.psf' found = False for path in pppaths: filename = join(path, name) filename1 = join(path, name1) if isfile(filename) or islink(filename): found = True if path != '.': if islink(name) or isfile(name): os.remove(name) os.symlink(filename, name) elif isfile(filename1) or islink(filename1): found = True if path != '.': if islink(name1) or isfile(name1): os.remove(name1) os.symlink(filename1, name1) if not found: raise RuntimeError('No pseudopotential for %s!' % symbol) self.converged = False def get_potential_energy(self, atoms, force_consistent=False): self.update(atoms) if force_consistent: return self.efree else: # Energy extrapolated to zero Kelvin: return (self.etotal + self.efree) / 2 def get_forces(self, atoms): self.update(atoms) return self.forces.copy() def get_stress(self, atoms): self.update(atoms) return self.stress.copy() def get_dipole_moment(self, atoms): """Returns total dipole moment of the system.""" self.update(atoms) return self.dipole def read_dipole(self): dipolemoment = np.zeros([1, 3]) for line in open(self.label + '.txt', 'r'): if line.rfind('Electric dipole (Debye)') > -1: dipolemoment = np.array([float(f) for f in line.split()[5:8]]) #debye to e*Ang (the units of VASP) dipolemoment = dipolemoment*0.2081943482534 return dipolemoment def get_pseudo_density(self, spin=None, pad=True): """Return pseudo-density array. If *spin* is not given, then the total density is returned. Otherwise, the spin up or down density is returned (spin=0 or 1). """ filename = self.label + '.RHO' if not isfile(filename): raise RuntimeError('Could not find rho-file (make sure to add fdf-option ' '"SaveRho=True" to your calculation)') rho = read_rho(filename) if spin is None: return rho.sum(axis=3) elif rho.shape[3] != 2: raise RuntimeError('Explicit spin-value requested. ' 'Only total density is available.') elif spin == 0 or spin == 1: return rho[:, :, :, spin] else: raise RuntimeError('Invalid spin-value requested. ' 'Expected 0 or 1, got %s' % spin) def get_pseudo_wave_function(self, band=0, kpt=0, spin=None): """Return pseudo-wave-function array. The method is limited to the gamma point, and is implemented as a wrapper to denchar (a tool shipped with siesta); denchar must be available in the command path. When retrieving a p_w_f from a non-spin-polarized calculation, spin must be None (default), and for spin-polarized calculations, spin must be set to either 0 (up) or 1 (down). As long as the necessary files are present and named correctly, old p_w_fs can be read as long as the calculator label is set. E.g. >>> c = Siesta(label='name_of_old_calculation') >>> pwf = c.get_pseudo_wave_function() The broadcast and pad options are not implemented. """ # Not implemented: kpt=0, broadcast=True, pad=True # kpoint must be Gamma assert kpt == 0, \ "siesta.get_pseudo_wave_function is unfortunately limited " \ "to the gamma point only. kpt must be 0." # In denchar, band numbering starts from 1 assert type(band) is int and band >= 0 band = band+1 if spin is None: spin_name = "" elif spin == 0: spin_name = ".UP" elif spin == 1: spin_name = ".DOWN" label = self.label # If

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The ASE has been constructed with a number of "design goals" that make it: - **Easy to use**: Setting up an atomistic total energy calculation or molecular dynamics simulation with ASE is simple and straightforward. ASE can be used via a :mod:`graphical user interface `, :ref:`command line tools` and the Python language. Python scripts are easy to follow (see :ref:`python_info` for a short introduction). It is simple for new users to get access to all of the functionality of ASE. - **Flexible**: Since ASE is based on the Python scripting language it is possible to perform very complicated simulation tasks without any code modifications. For example, a sequence of calculations may be performed with the use of simple "for-loop" constructions. There exist ASE modules for performing many standard simulation tasks. - **Customizable**: The Python code in ASE is structured in modules intended for different purposes. There are :mod:`calculators` for calculating energies, forces and stresses, :mod:`md` and :mod:`optimize` modules for controlling the motion of atoms, :mod:`constraint ` objects and filters for performing :mod:`nudged-elastic-band ` calculations etc. The modularity of the object-oriented code make it simple to contribute new functionality to ASE. - **Pythonic**: It fits nicely into the rest of the Python world with use of the popular :term:`NumPy` package for numerical work (see :ref:`numpy` for a short introduction). The use of the Python language allows ASE to be used both interactively as well as in scripts. - **Open to participation**: The CAMPOS Atomic Simulation Environment is released under the GNU Lesser General Public License version 2.1 or any later version. See the files :trac:`COPYING` and :trac:`COPYING.LESSER` which accompany the downloaded files, or see the license at GNU's web server at http://www.gnu.org/licenses/. Everybody is invited to participate in using and :ref:`developing the code `. .. _Python: http://www.python.org python-ase-3.6.0.2515/doc/exercises/0000755000175400017540000000000011757245034015747 5ustar askhlaskhlpython-ase-3.6.0.2515/doc/exercises/siesta2/0000755000175400017540000000000011757245034017321 5ustar askhlaskhlpython-ase-3.6.0.2515/doc/exercises/siesta2/siesta2.py0000644000175400017540000000173711410134012021230 0ustar askhlaskhl#!/usr/bin/env python from ase.io import read from ase.constraints import FixAtoms from ase.calculators.siesta import Siesta from ase.md import VelocityVerlet from ase import units # Read in the geometry from a xyz file, set the cell, boundary conditions and center atoms = read('geom.xyz') atoms.set_cell([7.66348,7.66348,7.66348*2]) atoms.set_pbc((1,1,1)) atoms.center() # Set initial velocities for hydrogen atoms along the z-direction p = atoms.get_momenta() p[0,2]= -1.5 p[1,2]= -1.5 atoms.set_momenta(p) # Keep some atoms fixed during the simulation atoms.set_constraint(FixAtoms(indices=range(18,38))) # Set the calculator and attach it to the system calc = Siesta('si001+h2',basis='SZ',xc='PBE',meshcutoff=50*units.Ry) calc.set_fdf('PAO.EnergyShift', 0.25 * units.eV) calc.set_fdf('PAO.SplitNorm', 0.15) atoms.set_calculator(calc) # Set the VelocityVerlet algorithm and run it dyn = VelocityVerlet(atoms,dt=1.0 * units.fs,trajectory='si001+h2.traj') dyn.run(steps=100) python-ase-3.6.0.2515/doc/exercises/siesta2/siesta2.rst0000644000175400017540000000345611161177042021425 0ustar askhlaskhl.. _siesta2: ---------------------------- Siesta 2: Molecular Dynamics ---------------------------- This exercise is intended to illustrate a Molecular Dynamics run with the SIESTA calculator. The system is a Si(001) surface, in the 2x1 reconstruction with asymmetric dimers. The simulation cell contains two dimers. An H2 molecule approaches the surface, above one of the dimers, and dissociates, ending up with a H atom bonded to each of the Si atoms in the dimer (and thus leading to a symmetric dimer). You can get the ``xyz`` file with the initial geometry :svn:`doc/exercises/siesta2/geom.xyz`. .. literalinclude:: siesta2.py Note that both H atoms are given an initial velocity towards the surface through the lines:: p = atoms.get_momenta() p[0,2]= -1.5 p[1,2]= -1.5 atoms.set_momenta(p) Run the program, and check the results. You can visualize the dynamics using the trajectory file with the help of the ASE :mod:`gui`. For example you can visualize the behaviour of the potential and total energies during the dynamics by doing:: $ ag -b si001+h2.traj -g i,e,e+ekin The :option:`-b` option turns on plotting of bonds between the atoms. Check that the total energy is a conserved quantity in this microcanonical simulation. You can also use VMD to visualize the trajectory. To do this, you need a ``.xyz`` file that you can write using :command:`ag`:: $ ag si001+h2.traj -o si.xyz -r 2,2,1 Then simply open the file using VMD:: $ vmd si.xyz and set Graphics/Representations from the main menu in order to get a nice picture. You can also try to repeat the simulation with a different :mod:`dynamics `. For instance you can model a canonical ensemble with the Langevin dynamics, which couples the system to a heat bath:: dyn = Langevin(atoms, 1 * fs, kB * 300, 0.002, trajectory=traj) python-ase-3.6.0.2515/doc/exercises/siesta2/geom.xyz0000644000175400017540000000303711051035754021020 0ustar askhlaskhl 38 H 6.058652 1.915727 -4.631363 H 6.935557 1.916158 -4.638525 Si 5.052343 1.915094 -8.752970 Si 7.311756 1.916045 -8.100813 Si 5.041784 5.750281 -8.773724 Si 7.297518 5.739617 -8.100675 Si 3.918967 0.000013 -9.554657 Si 7.550697 -0.000414 -9.520436 Si 3.916151 3.831464 -9.573533 Si 7.550925 3.830172 -9.516466 Si 1.889783 0.000004 -10.794937 Si 5.759494 -0.000324 -11.076500 Si 1.890663 3.833056 -10.808745 Si 5.762755 3.829004 -11.066801 Si 1.916838 1.917154 -12.211988 Si 5.750117 1.914811 -12.374348 Si 1.915860 5.747637 -12.213599 Si 5.749943 5.748165 -12.374435 Si 3.830647 1.915329 -13.619311 Si 7.661294 1.915329 -13.619311 Si 3.830190 5.745003 -13.619694 Si 7.663737 5.747074 -13.619579 Si 3.830647 0.000000 -14.981255 Si 7.661294 0.000000 -14.981255 Si 3.829498 3.829663 -14.981428 Si 7.659365 3.829663 -14.981413 Si 1.915329 0.000000 -16.343186 Si 5.745976 0.000000 -16.343186 Si 1.915316 3.829668 -16.342640 Si 5.750111 3.829668 -16.342646 H 1.915375 1.072918 -17.317827 H 1.915376 -1.072897 -17.317836 H 5.745901 1.072393 -17.319685 H 5.745901 -1.072379 -17.319678 H 1.915361 4.913391 -17.321812 H 1.916398 2.750110 -17.321821 H 5.750110 4.908576 -17.315062 H 5.748038 2.751809 -17.323343 python-ase-3.6.0.2515/doc/exercises/siesta1/0000755000175400017540000000000011757245034017320 5ustar askhlaskhlpython-ase-3.6.0.2515/doc/exercises/siesta1/answer1.py0000644000175400017540000000225511410331237021241 0ustar askhlaskhl# -*- coding: utf-8 -*- # creates: ener.png distance.png angle.png import os import matplotlib matplotlib.use('Agg') import pylab as plt e_s = [0.01,0.1,0.2,0.3,0.4,0.5] E = [-463.2160, -462.9633, -462.4891, -462.0551, -461.5426, -461.1714] d = [1.1131, 1.1046, 1.0960, 1.0901, 1.0857, 1.0810] alpha = [100.832453365, 99.568214268, 99.1486065462, 98.873671379, 98.1726341945, 98.0535643778] fig=plt.figure(figsize=(3, 2.5)) fig.subplots_adjust(left=.29, right=.96, top=.9, bottom=0.16) plt.plot(e_s, E, 'o-') plt.xlabel(u'Energy shift [eV]') plt.ylabel(u'Energy [eV]') plt.title('Total Energy vs Eshift') plt.savefig('ener.png') fig=plt.figure(figsize=(3, 2.5)) fig.subplots_adjust(left=.24, right=.96, top=.9, bottom=0.16) plt.plot(e_s, d, 'o-') plt.xlabel(u'Energy shift [eV]') plt.ylabel(u'O-H distance [Ã…]') limits = plt.axis('tight') plt.title('O-H distance vs Eshift') plt.savefig('distance.png') fig=plt.figure(figsize=(3, 2.5)) fig.subplots_adjust(left=.26, right=.96, top=.9, bottom=0.16) plt.plot(e_s, alpha, 'o-') plt.xlabel(u'Energy shift [eV]') plt.ylabel(u'H20 angle') limits = plt.axis('tight') plt.title('O-H distance vs Eshift') plt.savefig('angle.png') python-ase-3.6.0.2515/doc/exercises/siesta1/siesta1.rst0000644000175400017540000001144311410327206021412 0ustar askhlaskhl.. _siesta1: -------------------- Siesta 1: Basis Sets -------------------- This exercise is intended to illustrate the definition of basis sets with different numbers of orbitals and localization radii in SIESTA. It is based on the :mol:`H_2O` molecule. You will first use standard basis sets generated by SIESTA, and then a basis set specifically optimized for the :mol:`H_2O` molecule. The tips at the end of this page will help you in analyzing the results of the calculations. We are going to use the ASE interface to the :mod:`siesta` calculator, for the official SIESTA documentation see here_. .. _here: http://www.uam.es/siesta/ Part 1: Standard basis sets --------------------------- In the following script you will relax the structure of the :mol:`H_2O` molecule to find its equilibrium structure. .. literalinclude:: h2o.py Run the script using three different basis sets: single-Z (SZ), double-Z (DZ) and double-Z plus polarization (DZP). Run it in different directories for each basis set, since the run will produce a large amount of output files. The bases are defined in the script through these three lines:: calc.set_fdf('PAO.BasisSize','SZ') calc.set_fdf('PAO.EnergyShift',e_s * eV) calc.set_fdf('PAO.SplitNorm',0.15) For each of the basis sets the script will run the relaxation for different ``EnergyShift`` parameters. Look at the results as a function of basis size and localization radius (or energy shift). In particular, you should look at: * Total energy * Bond lenghts at the relaxed structure * Bond angles at the relaxed structure * Execution time * Radius of each of the orbitals * Shape of the orbitals The script will print bond lengths and angles, total energy plus the wall time for each energy shift. The radii of the orbitals from the last run can be found in the file ``h2o.txt`` along with miscellaneous other informations. Orbital shapes from the last run are stored in the ``ORB.*`` files, which contain the value of the orbitals versus radius. (Note that the standard way to plot the orbitals is to multiply the orbital by :math:`r^l`). You can visualize both the static atoms and the relaxation trajectory using the the ASE :mod:`gui`. For example you can visualize the relaxation trajectory from the command line by doing:: $ ag h2o_0.1.traj Note that you will get a trajectory file ``.traj`` for each energy shift in the loop. Try to get plots like the following, obtained for a SZ basis: |en| |dist| |ang| .. |en| image:: ener.png .. |dist| image:: distance.png .. |ang| image:: angle.png Try to answer these questions: 1. What is the best basis set that you have found? Why? 2. How do the results compare with experiment? 3. What do you consider a reasonable basis for the molecule, if you need an accuracy in the geometry of about 1%? 4. In order to assess convergence with respect to basis set size, should you compare the results with the experimental ones, or with those of a converged basis set calculation? Part 2: Optimized basis sets ---------------------------- You will now do the same calculations as in Part 1, but now using a basis set specifically optimized for the :mol:`H_2O` molecule. Use the following optimized block instead of the basis-definition lines in Part1:: calc.set_fdf('PAO.Basis', ["""H 2 0.22 n=1 0 2 E 2.07 0.00 4.971 1.771 1.000 1.000 n=2 1 1 E 0.89 0.01 4.988 1.000 O 3 -0.20 n=2 0 2 E 0.00 1.31 5.000 2.581 1.000 1.000 n=2 1 2 E 0.00 5.28 6.500 2.487 1.000 1.000 n=3 2 1 E 104.31 0.00 3.923 1.000"""]) Compare the parameters with those of the calculations in Part 1. Do the runs with this basis set, and compare the results with the previous ones. Tips ---- Tip 1: You can see the radii of the orbitals in the output file, just after the line reading:: printput: Basis input ---------------------------------------------- Tip 2: You can look at the shape of the orbitals by plotting the contents of the ORB* files generated by SIESTA. Tip 3: You will find a lot of information on the run in the ``.txt`` output file Tip 4: In ``ag`` you can select :menuselection:`View --> VMD` to start the VMD viewer. There you can change the atom representation to what you feel is more convenient. Do that by selecting :menuselection:`Graphics --> Representations` in the top bar. Tip 5: SIESTA will store basis functions in ``ORB.*`` files. These files can be plotted using the :command:`xmgrace` command on the GBAR like this:: $ xmgrace ORB.S1.1.O ORB.S2.1.O python-ase-3.6.0.2515/doc/exercises/siesta1/h2o.py0000644000175400017540000000360311410134012020337 0ustar askhlaskhlimport time import numpy as np from ase import Atoms, units from ase.optimize import QuasiNewton from ase.calculators.siesta import Siesta # Set up a H2O molecule by specifying atomic positions h2o = Atoms(symbols='H2O', positions=[( 0.776070, 0.590459, 0.00000), (-0.776070, 0.590459, 0.00000), (0.000000, -0.007702, -0.000001)], pbc=(1,1,1)) # Center the molecule in the cell with some vacuum around h2o.center(vacuum=6.0) # Select some energy-shifts for the basis orbitals e_shifts = [0.01,0.1,0.2,0.3,0.4,0.5] # Run the relaxation for each energy shift, and print out the # corresponding total energy, bond length and angle for e_s in e_shifts: starttime = time.time() calc = Siesta('h2o',meshcutoff=200.0 * units.Ry, mix=0.5, pulay=4) calc.set_fdf('PAO.EnergyShift', e_s * units.eV) calc.set_fdf('PAO.SplitNorm', 0.15) calc.set_fdf('PAO.BasisSize', 'SZ') h2o.set_calculator(calc) # Make a -traj file named h2o_current_shift.traj: dyn = QuasiNewton(h2o, trajectory='h2o_%s.traj' % e_s) dyn.run(fmax=0.02) # Perform the relaxation E = h2o.get_potential_energy() print # Make the output more readable print "E_shift: %.2f" %e_s print "----------------" print "Total Energy: %.4f" % E # Print total energy d = h2o.get_distance(0,2) print "Bond length: %.4f" % d # Print bond length p = h2o.positions d1 = p[0] - p[2] d2 = p[1] - p[2] r = np.dot(d1, d2) / (np.linalg.norm(d1) * np.linalg.norm(d2)) angle = np.arccos(r) / pi * 180 print "Bond angle: %.4f" % angle # Print bond angle endtime = time.time() walltime = endtime - starttime print 'Wall time: %.5f' % walltime print # Make the output more readable python-ase-3.6.0.2515/doc/exercises/exercises.rst0000644000175400017540000000075011052524765020474 0ustar askhlaskhl.. _exercises: --------- Exercises --------- .. note:: CAMd summer school participants should read `this page`_ before doing the SIESTA exercises. .. _this page: https://wiki.fysik.dtu.dk/gpaw/exercises/summerschool.html#siesta Exercise 2 contains a script which takes somewhat long time. For this reason you may want to submit the script to Niflheim in advance, before analyzing the results in Exercise 1. .. toctree:: :maxdepth: 2 siesta1/siesta1 siesta2/siesta2 python-ase-3.6.0.2515/doc/mathml.py0000644000175400017540000004746711003631533015616 0ustar askhlaskhlfrom docutils import nodes from docutils.writers.html4css1 import HTMLTranslator from sphinx.latexwriter import LaTeXTranslator # Define LaTeX math node: class latex_math(nodes.General, nodes.Element): pass def math_role(role, rawtext, text, lineno, inliner, options={}, content=[]): i = rawtext.find('`') latex = rawtext[i+1:-1] try: mathml_tree = parse_latex_math(latex, inline=True) except SyntaxError, msg: msg = inliner.reporter.error(msg, line=lineno) prb = inliner.problematic(rawtext, rawtext, msg) return [prb], [msg] node = latex_math(rawtext) node['latex'] = latex node['mathml_tree'] = mathml_tree return [node], [] try: from docutils.parsers.rst import Directive except ImportError: # Register directive the old way: from docutils.parsers.rst.directives import _directives def math_directive(name, arguments, options, content, lineno, content_offset, block_text, state, state_machine): latex = ''.join(content) try: mathml_tree = parse_latex_math(latex, inline=False) except SyntaxError, msg: error = state_machine.reporter.error( msg, nodes.literal_block(block_text, block_text), line=lineno) return [error] node = latex_math(block_text) node['latex'] = latex node['mathml_tree'] = mathml_tree return [node] math_directive.arguments = None math_directive.options = {} math_directive.content = 1 _directives['math'] = math_directive else: class math_directive(Directive): has_content = True def run(self): latex = ' '.join(self.content) try: mathml_tree = parse_latex_math(latex, inline=False) except SyntaxError, msg: error = self.state_machine.reporter.error( msg, nodes.literal_block(self.block_text, self.block_text), line=self.lineno) return [error] node = latex_math(self.block_text) node['latex'] = latex node['mathml_tree'] = mathml_tree return [node] from docutils.parsers.rst import directives directives.register_directive('math', math_directive) def setup(app): app.add_node(latex_math) app.add_role('math', math_role) # Add visit/depart methods to HTML-Translator: def visit_latex_math_html(self, node): mathml = ''.join(node['mathml_tree'].xml()) self.body.append(mathml) def depart_latex_math_html(self, node): pass HTMLTranslator.visit_latex_math = visit_latex_math_html HTMLTranslator.depart_latex_math = depart_latex_math_html # Add visit/depart methods to LaTeX-Translator: def visit_latex_math_latex(self, node): inline = isinstance(node.parent, nodes.TextElement) if inline: self.body.append('$%s$' % node['latex']) else: self.body.extend(['\\begin{equation*}\\begin{split}', node['latex'], '\\end{split}\\end{equation*}']) def depart_latex_math_latex(self, node): pass LaTeXTranslator.visit_latex_math = visit_latex_math_latex LaTeXTranslator.depart_latex_math = depart_latex_math_latex # LaTeX to MathML translation stuff: class math: """Base class for MathML elements.""" nchildren = 1000000 """Required number of children""" def __init__(self, children=None, inline=None): """math([children]) -> MathML element children can be one child or a list of children.""" self.children = [] if children is not None: if type(children) is list: for child in children: self.append(child) else: # Only one child: self.append(children) if inline is not None: self.inline = inline def __repr__(self): if hasattr(self, 'children'): return self.__class__.__name__ + '(%s)' % \ ','.join([repr(child) for child in self.children]) else: return self.__class__.__name__ def full(self): """Room for more children?""" return len(self.children) >= self.nchildren def append(self, child): """append(child) -> element Appends child and returns self if self is not full or first non-full parent.""" assert not self.full() self.children.append(child) child.parent = self node = self while node.full(): node = node.parent return node def delete_child(self): """delete_child() -> child Delete last child and return it.""" child = self.children[-1] del self.children[-1] return child def close(self): """close() -> parent Close element and return first non-full element.""" parent = self.parent while parent.full(): parent = parent.parent return parent def xml(self): """xml() -> xml-string""" return self.xml_start() + self.xml_body() + self.xml_end() def xml_start(self): if not hasattr(self, 'inline'): return ['<%s>' % self.__class__.__name__] xmlns = 'http://www.w3.org/1998/Math/MathML' if self.inline: return ['' % xmlns] else: return ['' % xmlns] def xml_end(self): return ['' % self.__class__.__name__] def xml_body(self): xml = [] for child in self.children: xml.extend(child.xml()) return xml class mrow(math): pass class mtable(math): pass class mtr(mrow): pass class mtd(mrow): pass class mx(math): """Base class for mo, mi, and mn""" nchildren = 0 def __init__(self, data): self.data = data def xml_body(self): return [self.data] class mo(mx): translation = {'<': '<', '>': '>'} def xml_body(self): return [self.translation.get(self.data, self.data)] class mi(mx): pass class mn(mx): pass class msub(math): nchildren = 2 class msup(math): nchildren = 2 class msqrt(math): nchildren = 1 class mroot(math): nchildren = 2 class mfrac(math): nchildren = 2 class msubsup(math): nchildren = 3 def __init__(self, children=None, reversed=False): self.reversed = reversed math.__init__(self, children) def xml(self): if self.reversed: ## self.children[1:3] = self.children[2:0:-1] self.children[1:3] = [self.children[2], self.children[1]] self.reversed = False return math.xml(self) class mfenced(math): translation = {'\\{': '{', '\\langle': u'\u2329', '\\}': '}', '\\rangle': u'\u232A', '.': ''} def __init__(self, par): self.openpar = par math.__init__(self) def xml_start(self): open = self.translation.get(self.openpar, self.openpar) close = self.translation.get(self.closepar, self.closepar) return ['' % (open, close)] class mspace(math): nchildren = 0 class mstyle(math): def __init__(self, children=None, nchildren=None, **kwargs): if nchildren is not None: self.nchildren = nchildren math.__init__(self, children) self.attrs = kwargs def xml_start(self): return [''] class mover(math): nchildren = 2 def __init__(self, children=None, reversed=False): self.reversed = reversed math.__init__(self, children) def xml(self): if self.reversed: self.children.reverse() self.reversed = False return math.xml(self) class munder(math): nchildren = 2 class munderover(math): nchildren = 3 def __init__(self, children=None): math.__init__(self, children) class mtext(math): nchildren = 0 def __init__(self, text): self.text = text def xml_body(self): return [self.text] over = {'tilde': '~', 'hat': '^', 'bar': '_', 'vec': u'\u2192'} Greek = { # Upper case greek letters: 'Phi': u'\u03a6', 'Xi': u'\u039e', 'Sigma': u'\u03a3', 'Psi': u'\u03a8', 'Delta': u'\u0394', 'Theta': u'\u0398', 'Upsilon': u'\u03d2', 'Pi': u'\u03a0', 'Omega': u'\u03a9', 'Gamma': u'\u0393', 'Lambda': u'\u039b'} greek = { # Lower case greek letters: 'tau': u'\u03c4', 'phi': u'\u03d5', 'xi': u'\u03be', 'iota': u'\u03b9', 'epsilon': u'\u03f5', 'varrho': u'\u03f1', 'varsigma': u'\u03c2', 'beta': u'\u03b2', 'psi': u'\u03c8', 'rho': u'\u03c1', 'delta': u'\u03b4', 'alpha': u'\u03b1', 'zeta': u'\u03b6', 'omega': u'\u03c9', 'varepsilon': u'\u03b5', 'kappa': u'\u03ba', 'vartheta': u'\u03d1', 'chi': u'\u03c7', 'upsilon': u'\u03c5', 'sigma': u'\u03c3', 'varphi': u'\u03c6', 'varpi': u'\u03d6', 'mu': u'\u03bc', 'eta': u'\u03b7', 'theta': u'\u03b8', 'pi': u'\u03c0', 'varkappa': u'\u03f0', 'nu': u'\u03bd', 'gamma': u'\u03b3', 'lambda': u'\u03bb'} special = { # Binary operation symbols: 'wedge': u'\u2227', 'diamond': u'\u22c4', 'star': u'\u22c6', 'amalg': u'\u2a3f', 'ast': u'\u2217', 'odot': u'\u2299', 'triangleleft': u'\u25c1', 'bigtriangleup': u'\u25b3', 'ominus': u'\u2296', 'ddagger': u'\u2021', 'wr': u'\u2240', 'otimes': u'\u2297', 'sqcup': u'\u2294', 'oplus': u'\u2295', 'bigcirc': u'\u25cb', 'oslash': u'\u2298', 'sqcap': u'\u2293', 'bullet': u'\u2219', 'cup': u'\u222a', 'cdot': u'\u22c5', 'cap': u'\u2229', 'bigtriangledown': u'\u25bd', 'times': u'\xd7', 'setminus': u'\u2216', 'circ': u'\u2218', 'vee': u'\u2228', 'uplus': u'\u228e', 'mp': u'\u2213', 'dagger': u'\u2020', 'triangleright': u'\u25b7', 'div': u'\xf7', 'pm': u'\xb1', # Relation symbols: 'subset': u'\u2282', 'propto': u'\u221d', 'geq': u'\u2265', 'ge': u'\u2265', 'sqsubset': u'\u228f', 'Join': u'\u2a1d', 'frown': u'\u2322', 'models': u'\u22a7', 'supset': u'\u2283', 'in': u'\u2208', 'doteq': u'\u2250', 'dashv': u'\u22a3', 'gg': u'\u226b', 'leq': u'\u2264', 'succ': u'\u227b', 'vdash': u'\u22a2', 'cong': u'\u2245', 'simeq': u'\u2243', 'subseteq': u'\u2286', 'parallel': u'\u2225', 'equiv': u'\u2261', 'ni': u'\u220b', 'le': u'\u2264', 'approx': u'\u2248', 'precsim': u'\u227e', 'sqsupset': u'\u2290', 'll': u'\u226a', 'sqsupseteq': u'\u2292', 'mid': u'\u2223', 'prec': u'\u227a', 'succsim': u'\u227f', 'bowtie': u'\u22c8', 'perp': u'\u27c2', 'sqsubseteq': u'\u2291', 'asymp': u'\u224d', 'smile': u'\u2323', 'supseteq': u'\u2287', 'sim': u'\u223c', 'neq': u'\u2260', # Arrow symbols: 'searrow': u'\u2198', 'updownarrow': u'\u2195', 'Uparrow': u'\u21d1', 'longleftrightarrow': u'\u27f7', 'Leftarrow': u'\u21d0', 'longmapsto': u'\u27fc', 'Longleftarrow': u'\u27f8', 'nearrow': u'\u2197', 'hookleftarrow': u'\u21a9', 'downarrow': u'\u2193', 'Leftrightarrow': u'\u21d4', 'longrightarrow': u'\u27f6', 'rightharpoondown': u'\u21c1', 'longleftarrow': u'\u27f5', 'rightarrow': u'\u2192', 'Updownarrow': u'\u21d5', 'rightharpoonup': u'\u21c0', 'Longleftrightarrow': u'\u27fa', 'leftarrow': u'\u2190', 'mapsto': u'\u21a6', 'nwarrow': u'\u2196', 'uparrow': u'\u2191', 'leftharpoonup': u'\u21bc', 'leftharpoondown': u'\u21bd', 'Downarrow': u'\u21d3', 'leftrightarrow': u'\u2194', 'Longrightarrow': u'\u27f9', 'swarrow': u'\u2199', 'hookrightarrow': u'\u21aa', 'Rightarrow': u'\u21d2', # Miscellaneous symbols: 'infty': u'\u221e', 'surd': u'\u221a', 'partial': u'\u2202', 'ddots': u'\u22f1', 'exists': u'\u2203', 'flat': u'\u266d', 'diamondsuit': u'\u2662', 'wp': u'\u2118', 'spadesuit': u'\u2660', 'Re': u'\u211c', 'vdots': u'\u22ee', 'aleph': u'\u2135', 'clubsuit': u'\u2663', 'sharp': u'\u266f', 'angle': u'\u2220', 'prime': u'\u2032', 'natural': u'\u266e', 'ell': u'\u2113', 'neg': u'\xac', 'top': u'\u22a4', 'nabla': u'\u2207', 'bot': u'\u22a5', 'heartsuit': u'\u2661', 'cdots': u'\u22ef', 'Im': u'\u2111', 'forall': u'\u2200', 'imath': u'\u0131', 'hbar': u'\u210f', 'emptyset': u'\u2205', # Variable-sized symbols: 'bigotimes': u'\u2a02', 'coprod': u'\u2210', 'int': u'\u222b', 'sum': u'\u2211', 'bigodot': u'\u2a00', 'bigcup': u'\u22c3', 'biguplus': u'\u2a04', 'bigcap': u'\u22c2', 'bigoplus': u'\u2a01', 'oint': u'\u222e', 'bigvee': u'\u22c1', 'bigwedge': u'\u22c0', 'prod': u'\u220f', # Braces: 'langle': u'\u2329', 'rangle': u'\u232A'} sumintprod = ''.join([special[symbol] for symbol in ['sum', 'int', 'oint', 'prod']]) functions = ['arccos', 'arcsin', 'arctan', 'arg', 'cos', 'cosh', 'cot', 'coth', 'csc', 'deg', 'det', 'dim', 'exp', 'gcd', 'hom', 'inf', 'ker', 'lg', 'lim', 'liminf', 'limsup', 'ln', 'log', 'max', 'min', 'Pr', 'sec', 'sin', 'sinh', 'sup', 'tan', 'tanh', 'injlim', 'varinjlim', 'varlimsup', 'projlim', 'varliminf', 'varprojlim'] def parse_latex_math(string, inline=True): """parse_latex_math(string [,inline]) -> MathML-tree Returns a MathML-tree parsed from string. inline=True is for inline math and inline=False is for displayed math. tree is the whole tree and node is the current element.""" # Normalize white-space: string = ' '.join(string.split()) if inline: node = mrow() tree = math(node, inline=True) else: node = mtd() tree = math(mtable(mtr(node)), inline=False) while len(string) > 0: n = len(string) c = string[0] skip = 1 # number of characters consumed if n > 1: c2 = string[1] else: c2 = '' ## print n, string, c, c2, node.__class__.__name__ if c == ' ': pass elif c == '\\': if c2 in '{}': node = node.append(mo(c2)) skip = 2 elif c2 == ' ': node = node.append(mspace()) skip = 2 elif c2.isalpha(): # We have a LaTeX-name: i = 2 while i < n and string[i].isalpha(): i += 1 name = string[1:i] node, skip = handle_keyword(name, node, string[i:]) skip += i elif c2 == '\\': # End of a row: entry = mtd() row = mtr(entry) node.close().close().append(row) node = entry skip = 2 else: raise SyntaxError('Syntax error: "%s%s"' % (c, c2)) elif c.isalpha(): node = node.append(mi(c)) elif c.isdigit(): node = node.append(mn(c)) elif c in "+-/()[]|=<>,.!'": node = node.append(mo(c)) elif c == '_': child = node.delete_child() if isinstance(child, msup): sub = msubsup(child.children, reversed=True) elif isinstance(child, mo) and child.data in sumintprod: sub = munder(child) else: sub = msub(child) node.append(sub) node = sub elif c == '^': child = node.delete_child() if isinstance(child, msub): sup = msubsup(child.children) elif isinstance(child, mo) and child.data in sumintprod: sup = mover(child) elif (isinstance(child, munder) and child.children[0].data in sumintprod): sup = munderover(child.children) else: sup = msup(child) node.append(sup) node = sup elif c == '{': row = mrow() node.append(row) node = row elif c == '}': node = node.close() elif c == '&': entry = mtd() node.close().append(entry) node = entry else: raise SyntaxError('Illegal character: "%s"' % c) string = string[skip:] return tree mathbb = {'A': u'\U0001D538', 'B': u'\U0001D539', 'C': u'\u2102', 'D': u'\U0001D53B', 'E': u'\U0001D53C', 'F': u'\U0001D53D', 'G': u'\U0001D53E', 'H': u'\u210D', 'I': u'\U0001D540', 'J': u'\U0001D541', 'K': u'\U0001D542', 'L': u'\U0001D543', 'M': u'\U0001D544', 'N': u'\u2115', 'O': u'\U0001D546', 'P': u'\u2119', 'Q': u'\u211A', 'R': u'\u211D', 'S': u'\U0001D54A', 'T': u'\U0001D54B', 'U': u'\U0001D54C', 'V': u'\U0001D54D', 'W': u'\U0001D54E', 'X': u'\U0001D54F', 'Y': u'\U0001D550', 'Z': u'\u2124'} negatables = {'=': u'\u2260', '\in': u'\u2209', '\equiv': u'\u2262'} def handle_keyword(name, node, string): skip = 0 if len(string) > 0 and string[0] == ' ': string = string[1:] skip = 1 if name == 'begin': if not string.startswith('{matrix}'): raise SyntaxError('Expected "\begin{matrix}"!') skip += 8 entry = mtd() table = mtable(mtr(entry)) node.append(table) node = entry elif name == 'end': if not string.startswith('{matrix}'): raise SyntaxError('Expected "\end{matrix}"!') skip += 8 node = node.close().close().close() elif name == 'text': if string[0] != '{': raise SyntaxError('Expected "\text{...}"!') i = string.find('}') if i == -1: raise SyntaxError('Expected "\text{...}"!') node = node.append(mtext(string[1:i])) skip += i + 1 elif name == 'sqrt': sqrt = msqrt() node.append(sqrt) node = sqrt elif name == 'frac': frac = mfrac() node.append(frac) node = frac elif name == 'left': for par in ['(', '[', '|', '\\{', '\\langle', '.']: if string.startswith(par): break else: raise SyntaxError('Missing left-brace!') fenced = mfenced(par) node.append(fenced) row = mrow() fenced.append(row) node = row skip += len(par) elif name == 'right': for par in [')', ']', '|', '\\}', '\\rangle', '.']: if string.startswith(par): break else: raise SyntaxError('Missing right-brace!') node = node.close() node.closepar = par node = node.close() skip += len(par) elif name == 'not': for operator in negatables: if string.startswith(operator): break else: raise SyntaxError('Expected something to negate: "\\not ..."!') node = node.append(mo(negatables[operator])) skip += len(operator) elif name == 'mathbf': style = mstyle(nchildren=1, fontweight='bold') node.append(style) node = style elif name == 'mathbb': if string[0] != '{' or not string[1].isupper() or string[2] != '}': raise SyntaxError('Expected something like "\mathbb{A}"!') node = node.append(mi(mathbb[string[1]])) skip += 3 elif name in greek: node = node.append(mi(greek[name])) elif name in Greek: node = node.append(mo(Greek[name])) elif name in special: node = node.append(mo(special[name])) elif name in functions: node = node.append(mo(name)) else: chr = over.get(name) if chr is not None: ovr = mover(mo(chr), reversed=True) node.append(ovr) node = ovr else: raise SyntaxError('Unknown LaTeX command: ' + name) return node, skip ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/contents.rst��������������������������������������������������������������0000644�0001754�0001754�00000001007�11165472631�016340� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������======== Contents ======== * :ref:`Introduction to ASE - what is it? ` * :ref:`Download and installation instructions ` * :ref:`tutorials` * :ref:`Documentation for modules in ASE ` * :ref:`faq` * :ref:`mailing_lists` * :ref:`glossary` * :ref:`devel` * :ref:`bugs` * :ref:`ase2` The complete table of contents: .. toctree:: index overview download tutorials/tutorials ase/ase faq glossary mailinglists development/development bugs oldase �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ext.py��������������������������������������������������������������������0000644�0001754�0001754�00000010271�11410637200�015112� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������# -*- coding: utf-8 -*- import os import types from os.path import join from sys import executable from stat import ST_MTIME from docutils import nodes, utils from docutils.parsers.rst.roles import set_classes def mol_role(role, rawtext, text, lineno, inliner, options={}, content=[]): n = [] t = '' while text: if text[0] == '_': n.append(nodes.Text(t)) t = '' n.append(nodes.subscript(text=text[1])) text = text[2:] else: t += text[0] text = text[1:] n.append(nodes.Text(t)) return n, [] def svn_role(role, rawtext, text, lineno, inliner, options={}, content=[]): if text[-1] == '>': i = text.index('<') name = text[:i - 1] text = text[i + 1:-1] else: name = text ref = 'http://svn.fysik.dtu.dk/projects/ase/trunk/' + text set_classes(options) node = nodes.reference(rawtext, name, refuri=ref, **options) return [node], [] def trac_role(role, rawtext, text, lineno, inliner, options={}, content=[]): if text[-1] == '>': i = text.index('<') name = text[:i - 1] text = text[i + 1:-1] else: name = text ref = 'http://trac.fysik.dtu.dk/projects/ase/browser/trunk/' + text set_classes(options) node = nodes.reference(rawtext, name, refuri=ref, **options) return [node], [] def epydoc_role(role, rawtext, text, lineno, inliner, options={}, content=[]): name = None if text[-1] == '>': i = text.index('<') name = text[:i - 1] text = text[i + 1:-1] components = text.split('.') if components[0] != 'ase': components.insert(0, 'ase') if name is None: name = components[-1] try: for n in range(2, len(components) + 1): module = __import__('.'.join(components[:n])) except ImportError: for component in components[1:n]: module = getattr(module, component) ref = '.'.join(components[:n]) if isinstance(module, (type, types.ClassType)): ref += '-class.html' else: ref += '-module.html' if n < len(components): ref += '#' + components[-1] else: ref = '.'.join(components) + '-module.html' ref = 'http://wiki.fysik.dtu.dk/ase/epydoc/' + ref set_classes(options) node = nodes.reference(rawtext, name, refuri=ref, **options) return [node], [] def setup(app): app.add_role('mol', mol_role) app.add_role('svn', svn_role) app.add_role('trac', trac_role) app.add_role('epydoc', epydoc_role) #import atexit #atexit.register(fix_sidebar) create_png_files() def create_png_files(): for dirpath, dirnames, filenames in os.walk('.'): for filename in filenames: if filename.endswith('.py'): path = join(dirpath, filename) lines = open(path).readlines() line = lines[0] if 'coding: utf-8' in line: line = lines[1] if line.startswith('# creates:'): t0 = os.stat(path)[ST_MTIME] run = False for file in line.split()[2:]: try: t = os.stat(join(dirpath, file))[ST_MTIME] except OSError: run = True break else: if t < t0: run = True break if run: print 'running:', join(dirpath, filename) e = os.system('cd %s; %s %s' % (dirpath, executable, filename)) if e != 0: raise RuntimeError('FAILED!') for file in line.split()[2:]: print dirpath, file #os.rename(join(dirpath, file), # join('_static', file)) if '.svn' in dirnames: dirnames.remove('.svn') ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/glossary.rst��������������������������������������������������������������0000644�0001754�0001754�00000002754�11302747350�016354� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. _glossary: Glossary ======== .. glossary:: API Application Programming Interface. Automatically generated documentation from :term:`docstring`\ s in the source code using Epydoc_. See :epydoc:`here `. ASE Atomic Simulation Environment. Class XXX Constructor XXX Docstring XXX DFT Density Functional Theory. EMT Effective Medium Theory. HF Hartree-Fock approximation XXX ... Instance XXX LAPW In the linearized augmented plane wave (LAPW) method the unit cell of the crystal is divided into two different types of regions. The first one, called the muffin-tin region, consists of spheres centered around the atoms, while the second one, called the interstitial region consists of the remaining part of the unit cell. In the muffin-tin spheres the basis consists of atomic like functions to account for the rapid changes of the wave function in this area, whereas in the interstitial region the basis functions are plane waves, since the wave function changes only slowly at some distance from the atomic sites. Namespace An abstract container of the current :term:`scope`'s variables. ndarray :term:`NumPy`'s *n*-dimensional array. See :ref:`numpy`. NumPy XXX See :ref:`numpy`. Method XXX Python XXX :ref:`python_info`. Scope An enclosing context where values and expressions are associated. .. _Epydoc: http://epydoc.sourceforge.net ��������������������python-ase-3.6.0.2515/doc/python.rst����������������������������������������������������������������0000644�0001754�0001754�00000012047�11175527507�016036� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. _python_info: --------------- What is Python? --------------- This section will give a very brief introduction to the Python language. .. seealso:: * The Python_ home page. * Python Recipes_. * Try a `Python quick reference card`_ or a `different reference card`_. .. _Recipes: http://code.activestate.com/recipes/langs/python .. _Python quick reference card: http://www.limsi.fr/Individu/pointal/python/pqrc .. _different reference card: http://rgruet.free.fr/ .. _Python: http://www.python.org Executing Python code --------------------- You can execute Python code interactively by starting the interpreter like this:: $ python Python 2.5.1 (r251:54863, Mar 7 2008, 04:10:12) [GCC 4.1.3 20070929 (prerelease) (Ubuntu 4.1.2-16ubuntu2)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> print 'hello' hello You can also put the ``print 'hello'`` line in a file (``hello.py``) and execute it as a Python script:: $ python hello.py hello Or like this:: $ python -i hello.py hello >>> print 'hi!' hi! Finally, you can put ``#!/usr/bin/env python`` in the first line of the ``hello.py`` file, make it executable (``chmod +x hello.py``) and execute it like any other executable. .. tip:: For interactive Python sessions, it is very convenient to have a personal ``.pythonrc`` file:: import rlcompleter import readline readline.parse_and_bind("tab: complete") from ase import * and point the :envvar:`PYTHONSTARTUP` environment variable at it (see here_ for details). .. _here: http://www.python.org/doc/current/lib/module-rlcompleter.html .. tip:: For an even better interactive experience, use ipython_. .. _ipython: http://ipython.scipy.org Types ----- Python has the following predefined types: =========== ===================== ========================== type description example =========== ===================== ========================== ``bool`` boolean ``False`` ``int`` integer ``117`` ``float`` floating point number ``1.78`` ``complex`` complex number ``0.5 + 2.0j`` ``str`` string ``'abc'`` ``tuple`` tuple ``(1, 'hmm', 2.0)`` ``list`` list ``[1, 'hmm', 2.0]`` ``dict`` dictionary ``{'a': 7.0, 23: True}`` ``file`` file ``open('stuff.dat', 'w')`` =========== ===================== ========================== A ``dict`` object is mapping from keys to values: >>> d = {'s': 0, 'p': 1} >>> d['d'] = 2 >>> d {'p': 1, 's': 0, 'd': 2} >>> d['p'] 1 A ``list`` object is an ordered collection of arbitrary objects: >>> l = [1, ('gg', 7), 'hmm'] >>> l[1] ('gg', 7) >>> l.append(1.2) >>> l[-2] 'hmm' A ``tuple`` behaves like a ``list`` - except that it can't be modified inplace. Objects of types ``list`` and ``dict`` are *mutable* - all the other types listed in the table are *immutable*, which means that once an object has been created, it can not change. .. note:: List and dictionary objects *can* change. Variables in Python are references to objects. This is demonstrated here: >>> a = ['q', 'w'] >>> b = a >>> a.append('e') >>> a ['q', 'w', 'e'] >>> b ['q', 'w', 'e'] .. note:: Another very important type is the :term:`ndarray` type described here: :ref:`numpy`. Loops ----- A loop in Python can be done like this: >>> things = ['a', 7] >>> for x in things: ... print x ... a 7 The ``things`` object could be any sequence. Strings, tuples, lists, dictionaries, ndarrays and files are sequences. Functions and classes --------------------- A function is defined like this: >>> def f(x, m=2, n=1): ... y = x + n ... return y**m Here ``f`` is a function, ``x`` is an argument, ``m`` and ``n`` are keywords with default values ``2`` and ``1`` and ``y`` is a variable. A :term:`class` is defined like this: >>> class A: ... def __init__(self, b): ... self.c = b ... def m(self): ... return f(self.c, n=0) The ``__init__()`` function is called a :term:`constructor`. You can think of a class as a template for creating user defined objects. In the class ``A`` ``__init__`` is a constructor, ``c`` is an attribute and ``m`` is a method. >>> a = A(7) >>> a.c 7 >>> a.m() 49 >>> g = a.m >>> g() 49 Here we make an :term:`instance`/object ``a`` of type ``A`` and ``g`` is a :term:`method` bound to ``a``. Importing modules ----------------- If you put the definitions of the function ``f`` and the class ``C`` in a file ``stuff.py``, then you can use that code from another piece of code:: from stuff import f, C print f(1, 2) print C(1).m(2) or:: import stuff print stuff.f(1, 2) print stuff.C(1).m(2) or:: import stuff as st print st.f(1, 2) print st.C(1).m(2) Python will look for ``stuff.py`` in these directories: 1) current working directory 2) directories listed in your :envvar:`PYTHONPATH` 3) Python's own system directory (typically :file:`/usr/lib/python2.5`) and import the first one found. �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/����������������������������������������������������������������������0000755�0001754�0001754�00000000000�11757245034�014525� 5����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/general_surface.py����������������������������������������������������0000644�0001754�0001754�00000002276�11645062404�020225� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������# creates: s1.png s2.png s3.png s4.png general_surface.pdf from ase.lattice.surface import surface s1 = surface('Au', (2, 1, 1), 9) s1.center(vacuum=10, axis=2) from ase.lattice import bulk Mobulk = bulk('Mo', 'bcc', a=3.16, cubic=True) s2 = surface(Mobulk, (3, 2, 1), 9) s2.center(vacuum=10, axis=2) a = 4.0 from ase import Atoms Pt3Rh = Atoms('Pt3Rh', scaled_positions=[(0, 0, 0), (0.5, 0.5, 0), (0.5, 0, 0.5), (0, 0.5, 0.5)], cell=[a, a, a], pbc=True) s3 = surface(Pt3Rh, (2, 1, 1), 9) s3.center(vacuum=10, axis=2) Pt3Rh.set_chemical_symbols('PtRhPt2') s4 = surface(Pt3Rh , (2, 1, 1), 9) s4.center(vacuum=10, axis=2) from ase.io import write for atoms, name in [(s1, 's1'), (s2, 's2'), (s3, 's3'), (s4, 's4')]: write(name + '.pov', atoms, rotation='-90x', show_unit_cell=2, transparent=False, display=False, run_povray=True) import os for i in range(2): error = os.system('pdflatex -interaction=nonstopmode general_surface ' + '> /dev/null') assert error == 0, 'pdflatex failed' ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/surface.py������������������������������������������������������������0000644�0001754�0001754�00000003171�11623421267�016525� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������# creates: fcc100.png fcc110.png bcc100.png fcc111.png bcc110.png bcc111.png hcp0001.png fcc111o.png bcc110o.png bcc111o.png hcp0001o.png ontop-site.png hollow-site.png fcc-site.png hcp-site.png bridge-site.png diamond100.png diamond111.png hcp10m10.png import os from ase import Atoms from ase.io import write from ase.lattice.surface import (fcc100, fcc110, bcc100, fcc111, bcc110, bcc111, hcp0001, hcp10m10, diamond100, diamond111, add_adsorbate) surfaces = ['fcc100', 'fcc110', 'bcc100', 'hcp10m10', 'diamond100', 'fcc111', 'bcc110', 'bcc111', 'hcp0001', 'diamond111'] symbols = {'fcc': 'Cu', 'bcc': 'Fe', 'hcp': 'Ru', 'dia': 'C'} radii = {'fcc': 1.1, 'bcc': 1.06, 'hcp': 1.08, 'dia': 0.5} adsorbates= {'ontop': 'H', 'hollow': 'O', 'fcc': 'N', 'hcp': 'C', 'bridge': 'F'} def save(name, slab): write(name + '.png', slab, show_unit_cell=2, radii=radii[name[:3]], scale=10) for name in surfaces: f = eval(name) for kwargs in [{}, {'orthogonal': True}]: print name, kwargs try: slab = f(symbols[name[:3]], (3, 4, 5), vacuum=4, **kwargs) except (TypeError, NotImplementedError): continue for site in slab.adsorbate_info['sites']: if site.endswith('bridge'): h = 1.5 else: h = 1.2 add_adsorbate(slab, adsorbates.get(site, 'F'), h, site) if kwargs: name += 'o' save(name, slab) for site, symbol in adsorbates.items(): write('%s-site.png' % site, Atoms(symbol), radii=1.08, scale=10) �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/data.rst��������������������������������������������������������������0000644�0001754�0001754�00000011644�11665660134�016176� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: data =============== The data module =============== Atomic data =========== This module defines the following variables: .. data:: atomic_masses .. data:: atomic_names .. data:: chemical_symbols .. data:: covalent_radii .. data:: cpk_colors .. data:: reference_states .. data:: vdw_radii All of these are lists that should be indexed with an atomic number: >>> from ase.data import * >>> atomic_names[92] 'Uranium' >>> atomic_masses[2] 4.0026000000000002 .. data:: atomic_numbers If you don't know the atomic number of some element, then you can look it up in the :data:`atomic_numbers` dictionary: >>> atomic_numbers['Cu'] 29 >>> covalent_radii[29] 1.1699999999999999 The covalent radii are taken from [Cordeo08]_. The source of the van der Waals radii is given in vdw.py_. .. [Cordeo08] *Covalent radii revisited*, Beatriz Cordero, Verónica Gómez, Ana E. Platero-Prats, Marc Revés, Jorge Echeverría, Eduard Cremades, Flavia Barragán and Santiago Alvarez, Dalton Trans., 2008, 2832-2838 DOI:10.1039/B801115J .. _vdw.py: https://trac.fysik.dtu.dk/projects/ase/browser/trunk/ase/data/vdw.py .. _molecular data: Molecular data ============== The G1, G2, and G3-databases are available in the :mod:`molecules` module. Example: >>> from ase.data.molecules import molecule >>> atoms = molecule('H2O') All molecular members of each database is conveniently contained in a list of strings (g1, g2, g3), and one can look up the experimental atomization energy for each molecule. This is extrapolated from experimental heats of formation at room temperature, using calculated zero-point energies and thermal corrections. Example: >>> from ase.data.molecules import molecule, g2, get_atomization_energy >>> g2[11] 'H2O' >>> atoms = molecule(g2[11]) >>> get_atomization_energy(g2[11]) 232.57990000000001 >>> from ase.units import kcal,mol >>> get_atomization_energy(g2[11])*kcal/mol 10.08562144637833 where the last line converts the experimental atomization energy of H2O from units of kcal/mol to eV. S22, s26, and s22x5 data ======================== The s22, s26, and s22x5 databases are available in the :mod:`s22` module. Each weakly bonded complex is identified as an entry in a list of strings (s22, s26, s22x5), and is fully created by a 'create'-function: >>> from ase.data.s22 import s22, create_s22_system >>> sys = s22[0] >>> sys 'Ammonia_dimer' >>> atoms = create_s22_system(sys) >>> atoms.get_chemical_symbols() ['N', 'H', 'H', 'H', 'N', 'H', 'H', 'H'] The coupled-cluster interaction energies for the s22 and s26 systems are retrieved like this: >>> from ase.data.s22 import s22, get_interaction_energy_s22 >>> get_interaction_energy_s22(s22[0]) -0.1375 in units of eV. For s22 these are not the original energies, but from more recent work where the same (large) basis set was used for all complexes, yielding more accurate coupled-cluster interaction energies. The s22x5 database expands on the original s22 data by introducing non-equilibrium geometries for each complex (0.9, 1.0, 1.2, 1.5, and 2.0 times original intermolecular distance). However, these calculations were done in accordance with the methods used in the original s22 work, and so is expected to inherit the same problems with mixed basis set sizes. Assuming the interaction energy error due to this is the same in all 5 geometries for each complex, the default s22x5 interaction energies are therefore corrected with the energy difference between original and newer energies at the original separation. Example: >>> from ase.data.s22 import * >>> sys1 = s22[0] >>> sys1 'Ammonia_dimer' >>> atoms1 = create_s22_system(sys1) >>> sys2 = s22x5[0] >>> sys2 'Ammonia_dimer_0.9' >>> atoms2 = create_s22_system(sys2) >>> sys3 = s22x5[1] >>> sys3 'Ammonia_dimer_1.0' >>> atoms3 = create_s22_system(sys3) >>> get_interaction_energy_s22(sys1) -0.1375 >>> get_interaction_energy_s22(sys2) -0.1375 >>> get_interaction_energy_s22(sys3) -0.1375 >>> get_interaction_energy_s22x5(sys2) -0.10549743024963291 >>> get_interaction_energy_s22x5(sys3) -0.1375 >>> get_interaction_energy_s22x5(sys3,correct_offset=False) -0.1362 >>> get_interaction_energy_s22x5(sys1,dist=1.0) -0.1375 >>> get_interaction_energy_s22x5(sys1,dist=0.9) -0.10549743024963291 >>> get_interaction_energy_s22x5(sys1,dist=0.9,correct_offset=False) -0.1045 >>> get_number_of_dimer_atoms(sys1) [4, 4] >>> get_s22x5_distance(sys2) -0.25040236345454536 >>> get_s22x5_distance(sys3) 0.0 where sys1 is an s22 complex in the original geometry, while sys2 and sys3 are two different s22x5 geometries of the exact same complex. It is seen that the interaction energies for an s22 system and its s22x5 equivalent (indexed '_1.0') does not neccesarily match when the energy offset-correction is turned off. The last two functions are convenience functions, giving the number of atoms in the two molecules constituting a dimer and the relative intermolecular distance in a dimer (relative to the '1.0' separation, and in Angstrom), respectively. ��������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/constraints.rst�������������������������������������������������������0000644�0001754�0001754�00000020125�11712217646�017625� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: constraints :synopsis: Constraining some degrees of freedom =========== Constraints =========== When performing minimizations or dynamics one may wish to keep some degrees of freedom in the system fixed. One way of doing this is by attaching constraint object(s) directly to the atoms object. The FixAtoms class ================== This class is used for fixing some of the atoms. .. class:: FixAtoms(indices=None, mask=None) **XXX positive or negative mask???** You must supply either the indices of the atoms that should be fixed or a mask. The mask is a list of booleans, one for each atom, being true if the atoms should be kept fixed. Example of use: >>> c = FixAtoms(mask=[a.symbol == 'Cu' for a in atoms]) >>> atoms.set_constraint(c) This will fix the positions of all the Cu atoms in a simulation. The FixBondLength class ======================= This class is used to fix the distance between two atoms specified by their indices (*a1* and *a2*) .. class:: FixBondLength(a1, a2) Example of use:: >>> c = FixBondLength(0, 1) >>> atoms.set_constraint(c) In this example the distance between the atoms with indices 0 and 1 will be fixed in all following dynamics and/or minimizations performed on the *atoms* object. This constraint is useful for finding minimum energy barriers for reactions where the path can be described well by a single bond length (see the :ref:`mep2` tutorial). The FixBondLengths class ======================== More than one bond length can be fixed by using this class. Especially for cases in which more than one bond length constraint is applied on the same atom. It is done by specifying the indices of the two atoms forming the bond in pairs. .. class:: FixBondLengths(pairs) Example of use:: >>> c = FixBondLengths([[0, 1], [0, 2]]) >>> atoms.set_constraint(c) Here the distances between atoms with indices 0 and 1 and atoms with indices 0 and 2 will be fixed. The constraint is for the same purpose as the FixBondLength class. The FixedPlane class ==================== .. autoclass:: ase.constraints.FixedPlane Example of use: :ref:`constraints_diffusion_tutorial`. The FixedMode class =================== .. autoclass:: ase.constraints.FixedMode A mode is a list of vectors specifying a direction for each atom. It often comes from :meth:`ase.vibrations.Vibrations.get_mode`. The BondSpring class ==================== This constraint applies a Hookean restorative force between two atoms if the distance between them exceeds a threshhold. This is useful to maintain the identity of molecules in quenched molecular dynamics, without changing the degrees of freedom or violating conservation of energy. When the distance between the two atoms is less than the threshhold length, this constraint is completely inactive. The below example tethers together atoms at index 3 and 4 together:: >>> c = BondSpring(a1=3, a2=4, threshhold_length=1.79, springconstant=5.) >>> atoms.set_constraint(c) Alternatively, this constraint can tether a single atom to a point in space, for example to prevent the top layer of a slab from subliming during a high-temperature MD simulation. An example of tethering atom at index 3 to its original position:: >>> c = BondSpring(a1=3, a2=atoms[3].position, threshhold_length=0.94, springconstant=2.) >>> atoms.set_constraint(c) Reasonable values of the threshhold and spring constant for some common bonds are below. .. list-table:: * - Bond - threshhold_length - springconstant * - O-H - 1.40 - 5 * - C-O - 1.79 - 5 * - C-H - 1.59 - 7 * - C=O - 1.58 - 10 * - Pt sublimation - 0.94 - 2 * - Cu sublimation - 0.97 - 2 The FixInternals class ====================== This class allows to fix an arbitrary number of bond lengths, angles and dihedral angles. The defined constraints are satisfied self consistently. To define the constraints one needs to specify the atoms object on which the constraint works (needed for atomic masses), a list of bond, angle and dihedral constraints. Those constraint definitions are always list objects containing the value to be set and a list of atomic indices. The epsilon value specifies the accuracy to which the constraints are fullfilled. .. class:: FixInternals(atoms, bonds=[bond1, bond2], \ angles=[angle1], dihedrals=[dihedral1, dihedral2], epsilon=1.e-7) Example of use:: >>> bond1 = [1.20, [1, 2]] >>> angle_indices1 = [2, 3, 4] >>> dihedral_indices1 = [2, 3, 4, 5] >>> angle1 = [atoms.get_angle(angle_indices1), angle_indices1] >>> dihedral1 = [atoms.get_dihedral(dihedral_indices1), \ dihedral_indices1] >>> c = FixInternals(atoms, bonds=[bonds1], angles=[angles1], \ dihedrals=[dihedral1]) >>> atoms.set_onstraint(c) This example defines a bond an angle and a dihedral angle constraint to be fixed at the same time. Combining constraints ===================== It is possible to supply several constraints on an atoms object. For example one may wish to keep the distance between two nitrogen atoms fixed while relaxing it on a fixed ruthenium surface:: >>> pos = [[0.00000, 0.00000, 9.17625], ... [0.00000, 0.00000, 10.27625], ... [1.37715, 0.79510, 5.00000], ... [0.00000, 3.18039, 5.00000], ... [0.00000, 0.00000, 7.17625], ... [1.37715, 2.38529, 7.17625]] >>> unitcell = [5.5086, 4.7706, 15.27625] >>> atoms = Atoms(positions=pos, ... symbols='N2Ru4', ... cell=unitcell, ... pbc=[True,True,False]) >>> fa = FixAtoms(mask=[a.symbol == 'Ru' for a in atoms]) >>> fb = FixBondLength(0, 1) >>> atoms.set_constraint([fa, fb]) When applying more than one constraint they are passed as a list in the :meth:`set_constraint` method, and they will be applied one after the other. Making your own constraint class ================================ A constraint class must have these two methods: .. method:: adjust_positions(oldpositions, newpositions) Adjust the *newpositions* array inplace. .. method:: adjust_forces(positions, forces) Adjust the *forces* array inplace. A simple example:: import numpy as np class MyConstraint: """Constrain an atom to move along a given direction only.""" def __init__(self, a, direction): self.a = a self.dir = direction / sqrt(np.dot(direction, direction)) def adjust_positions(self, oldpositions, newpositions): step = newpositions[self.a] - oldpositions[self.a] step = np.dot(step, self.dir) newpositions[self.a] = oldpositions[self.a] + step * self.dir def adjust_forces(self, positions, forces): forces[self.a] = self.dir * np.dot(forces[self.a], self.dir) The Filter class ================ Constraints can also be applied via filters, which acts as a wrapper around an atoms object. A typical use case will look like this:: ------- -------- ---------- | | | | | | | Atoms |<----| Filter |<----| Dynamics | | | | | | | ------- -------- ---------- and in Python this would be:: >>> atoms = Atoms(...) >>> filter = Filter(atoms, ...) >>> dyn = Dynamics(filter, ...) This class hides some of the atoms in an Atoms object. .. class:: Filter(atoms, indices=None, mask=None) You must supply either the indices of the atoms that should be kept visible or a mask. The mask is a list of booleans, one for each atom, being true if the atom should be kept visible. Example of use:: >>> from ase import Atoms, Filter >>> atoms=Atoms(positions=[[ 0 , 0 , 0], ... [ 0.773, 0.600, 0], ... [-0.773, 0.600, 0]], ... symbols='OH2') >>> f1 = Filter(atoms, indices=[1, 2]) >>> f2 = Filter(atoms, mask=[0, 1, 1]) >>> f3 = Filter(atoms, mask=[a.Z == 1 for a in atoms]) >>> f1.get_positions() [[ 0.773 0.6 0. ] [-0.773 0.6 0. ]] In all three filters only the hydrogen atoms are made visible. When asking for the positions only the positions of the hydrogen atoms are returned. �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/gui/������������������������������������������������������������������0000755�0001754�0001754�00000000000�11757245034�015311� 5����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/gui/view.rst����������������������������������������������������������0000644�0001754�0001754�00000001425�11610646203�017006� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: view ==== View ==== Repeat ------ Menu to allow repition of periodic unit cells. Use the 'Set unit cell' button to set the overall unit cell to the current one. Rotate ------ Menu to manually fine tune the viewing angle. Use 'Update' button to set the menu to the current angle. Colors ------ The colors menu allows numerous ways to change the color scheme and to encode additional information into the display colors. This includes automatic coloring by atomic numbers (default), user-specified atomic number scheme, coloring by tags, forces, or completely manually specified colors. In addition, several standard color scales are available. Settings -------- Basic viewing settings. Also allows to constrain/unconstrain atoms and to mark selected atoms as invisible. �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/gui/gui.rst�����������������������������������������������������������0000644�0001754�0001754�00000000763�11610646203�016624� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: gui :synopsis: Simple graphical user-interface for ASE. .. index:: gui, ag, ase-gui ======= ASE-GUI ======= The graphical user-interface allows users to visualize, manipulate, and render molecular systems and atoms objects. It also allows to setup and run a number of calculations and can be used to transfer between different file formats. .. image:: ag.png :height: 200 pt .. toctree:: basics edit view tools setup calculate �������������python-ase-3.6.0.2515/doc/ase/gui/edit.rst����������������������������������������������������������0000644�0001754�0001754�00000002437�11610646203�016765� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: edit ==== Edit ==== Add atoms --------- Allows to add single atoms or a group of atoms to an existing atoms object. If the description is an atom or a known molecule from the g1, g2, or g3 set (e.g. CH4), then the structure from the data molecule is used. In addition, a molecule can also be imported from file via the ``load molecule`` button. The specified position can either be absolute, or determined automatically via :: auto+ where auto is the centre of mass of the currently selected atoms, and ```` is the distance toward the viewing plane. The molecule-to-be is rotated into the current viewing plane before addition into the system. Two options exist for chosing the origin within the new atoms, it can be either the centre of mass or the origin of the loaded geometry. Modify ------ Menu to allow modification of the atomic symbol, an attached tag, or its magnetic moment. Copy/Paste ---------- Allows to copy parts of an existing system to a clipboard, and pastes via the same infrastructure as the ``Add atoms`` functionality. Note that the on-screen orientation of the pasted atoms will be the same as at the time of copying. Note also that, by default, the origin of the pasted system is taken to be the atom furthest away from the viewing point. ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/gui/tools.rst���������������������������������������������������������0000644�0001754�0001754�00000016355�11641315151�017203� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: tools ===== Tools ===== Graphs ------ Allows to graph different quantities for a given trajectory. A 'save' button also gives the opportunity to save the data to file. This example plots the maximal force for each image i and could help in investigating the convergence properties for relaxations: :: i, e-min(E), fmax These are the symbols that can be used: ================ ================================================== Symbol Interpretation ================ ================================================== e total energy epot potential energy ekin kinetic energy fmax maximum force fave average force d(n1,n2) distance between two atoms R[n,0-2] position of atom number n i current image number E[i] energy of image number i F[n,0-2] force on atom number n M[n] magnetic moment of atom number n A[0-2,0-2] unit-cell basis vectors s path length a(n1,n2,n3) tangle between atoms n1, n2 and n3, centered on n2 dih(n1,n2,n3,n4) dihedral angle between n1, n2, n3, and n4 T temperature (requires velocity) ================ ================================================== Movie ----- Allows to play the current trajectory as a movie using a number of different settings. Default duration is 5 s. Expert mode ----------- Python interface to all ag functions, with numerous extra commands defined that help to modify and visualize a system. The commands come in two flavors, the first is interpreted on an atom-by-atom basis (e.g. operates on position, color, etc) and the second is based on the entire frame. The flavor of a given line is determined from the first command. Note that the frame-based commands can be used in atom-based operations, but not vice versa. See below for some examples. Regular python syntax applies to the commands and ``numpy`` has been imported as ``np``. Two buttons allow to reduce the operation to a given frame: ======================== ============================================= Only selected atoms (sa) Restricts operation only to the selected atoms. The text command ``sa`` activates or deactivates this button. Only current frame (cf) Restricts operation only to the current frame, useful for long trajectories. The text command ``cf`` activates or deactivates this button. ======================== ============================================= List of atom-based commands with a few examples: ================ ===================================================== Command Interpretation ================ ===================================================== x,y,z Cartesian coordinates. Example: ``x += A[0][0]`` r,g,b Color components, invoking the expert mode changes the color mode to manual and allows to address all colors individually. Example: ``r = (z-min(R[:,2]))/(max(R[:,2])-min(R[:,2]))`` rad atomic display radius s Boolean to control the selection of an atom. Example: ``s = Z == 6 and x > 5`` or ``s = d == False`` f force on an atom Z atomic number m magnetic moment d dynamic, e.g. d = False fixes an atom ================ ===================================================== List of frame-based and global commands and global objects with examples: ================ ===================================================== Command Interpretation ================ ===================================================== e total energy fmax maximal force A unit cell E total energy array of all frames. Example: ``e-min(E)`` F all forces in one frame M all magnetic moments R all atomic positions S boolean array of the entire selection D boolean array of dynamic atoms (False = atom is fixed) del S deletes current selection sa,cf toggles the selected-atoms-only or the current-frame-only buttons frame provides and edits the frame number in a trajectory center centers system in its unit cell cov array of original covalent radii self expert mode window gui ag GUI object, this controls the entire ag session img ag images object, all physical data is stored here ================ ===================================================== To save data between commands, one has to assign variables to parent objects in the gui, e.g. via ``self.temp_var = R-img.P[0,:]``. DISCLAIMER: Doing so might risk the functionality ofthe entire ag session if you accidentally overwrite basic functionality of the gui or the image objects stored within. Finally, recurring selections of commands collected as scripts can be executed as :: exec If the file in question is saved in the directory ``~/.ase/`` then just the filename will also do. Constraints ----------- Allows to set (or remove) constraints based on the currently selected atoms. Render scene ------------ Graphical interface to the ASE povray interface, ideally it requires that povray is installed on your computer to function, but it also can be used just to export the complete set of povray files. The texture of each atom is adjustable: The default texture is applied to all atoms, but then additional textures can be defined based on selections (``Create new texture from current selection``). These can be obtained either from selecting atoms by hand or by defining a selection with a boolean expression, for example ``Z==6 and x>5 and y<0`` will select all carbons with coordinates x>5 and y<0. The available commands are listed in the ``Help on textures`` window. A movie-making mode (``render all N frames``) is also available. After rendering, the frames can be stitched together using the ``convert`` unix program e.g. :: localhost:doc hanke$ convert -delay 4.17 temp.*.png temp.gif For this particular application it might be a good idea to use a white background instead of the default transparent option. Move atoms ---------- Allows selected atoms to be moved using the arrow keys. The direction is always parallel to the plane of the screen. Two possible movements are available: Just pressing the arrow keys will move by 0.1 Angstrom, ``shift`` + arrow keys will move by 0.01 Angstrom. Rotate atoms ------------ Allows sets of atoms to be rotated using the arrow keys. Different rotation modes are available depending on the number of selected atoms. Again, two modes are available. Just the arrow keys will rotate by 2.5 degrees, and ``shift`` + arrow keys will rotate by 0.5 deg. ============================== ======================================= number of atoms labeled rotation mode ============================== ======================================= 0 atoms, 1, 3, 5 or more atoms uses the centre of mass of the atoms to be rotated as the rotation centre. 2 atoms Defines the vector connecting the two atoms as rotation axis. 4 atoms, selected sequentially Defines the vector connecting the two atoms as rotation axis. This mode has the advantage that the dihedral angle is measured at the same time, thus allowing one to monitor the degree of rotation. ============================== ======================================= Orient atoms ------------ stub NEB --- stub Bulk Modulus ------------ stub �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/gui/ag.png������������������������������������������������������������0000644�0001754�0001754�00000126615�11610646203�016410� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������‰PNG  ��� IHDR��õ�����&ÄÀt���sRGB�®Îé���bKGD�ÿ�ÿ�ÿ ½§“��� pHYs�� �� �šœ���tIMEØ­�� �IDATxÚìy|eþÇ?“ôJ¹ ”Òƒ›âÅ!‡ˆ¶‚ˆ¢Èáîªë®«îâ®x‹€â‰‹x ¢ûÓÝuuäTNAÀU\ð(Ðh Bi9ÊYze~$“NÒ“d’ÌñyóÊ«$™y2Ï“gò¼Ÿï|gFEQ!„B!D·Äø|×]÷6!„Âq’¢m©Ý~˜ÇkR0ß&Ÿ¿\„BÌ(òbc‰„†ÿ‹”|BH4¥^”ý�‰�l¢ý¯ 8ÄÞmM³v!„˜¹¨‹²ç6ÑdA1ˆ=FöS}ü4‰¢(º½$óò²9~•Dù_yCRð !„y´<<þZW‘`MÔ¡`x:Ò ?j/úhB"ÚWyÔÌ³Ô 2y—¢ð’à‹²Úµ—Ÿ}ŠBˆÄ^6öI)ª‚üÿh{‹Löõ­w?j/ÊÚ‹Ç|:�‰ú>éö\ê«îGÍL ö1…^Ú‘mp<Ü^“„_�£ô„BL"Y°8ž[ÜdÞâ°\Á1–Zdõ ö¾ŽÚ‹"Úí쇞˚¹õIùQ3#¤Ãù”zç+›‘Û;¯$õõbÃns‹Ös&„b ™þJ¢ 8¤Ý*K-hzy”Pu„›¼»û¢({�ÿ\QY«>ÿÜk.˸•å‚ó’ò›3éñKó~ÔžèugѪMû Wß“ÿ?´mŸ®í²\f18j²Ô‹Ž)ºÍm6Fê ñÅsŒ�<ùÆ"ÕË^ýñk~óýÎç)Í’pyï®èžÕÍ›%¢¦¶ÊŽcËŽ"–Q¼­žÇös‹„ýOpV(B²,iye]{Ýuø|åŠFë_7òzße¹K½3Òí8ìoEƒàëeæã¨=Ñ7UçμN]]µÇ[hµ,û›:?j¦ŠÔ»EHä;2O”%Ä?_ÎCs¯*e=6gÖ.|Ûøé{tÉé®™ípóˆØòÃnLi~Þ±±VƒôÇ_î¼['á«ïŠ— �CÂì—ŸGÙ‘rU·Ÿç”Ú/Kç>öZ–}yïe­\¾#o¸Á)ð+—/w¾/½�+—/÷Y–sìtFë2¡Û/M61£Óët›˜¾²è±¬¢‚ŸÓ¥Û…ŠÊêÒíB¯e¸,ãVV£ ¶Þš©#õŽÃn_<#õD ¼<é�À¢¯þ‹¼þ9hÞ4 'NaÕæÈJkƒ¾9Ùh’#ÇNbÉšïQrø¨Ô«1¤o º¸+R’“púìylÙQˆßå;÷s©ìOVoCî¥=Ñ:¥NŸ;¯·ïÆæöøÝ&�øîûÕ!™ý—÷–®ÛŽÜK{¢y³$<êxoHŸî¸!·DQÄ™sÕÈß÷+VnüÎ×Ô6¬;ñ·¸iüã�€”f‰¸yÄ�¼þÁ",_ø!Z´Ë@JûΰÄÄ`çþ£øëÏã¹Ç@ZÒy<ãû¦q]ú\…Úês�€ñãï�¼ÿχ¢üÿáÓw_p©!Á‰Dð‘zglÉVﱬŸ-ó[Æõ£n„(Ú•uý¨"/.½ß¥w-Ëu£¥Ð¶C$é—zûâ¼µ×tPåË5.ÏcccвeKôèÞñ ñºØöáÇ…ÕêÅ ¿K1ä²–÷]VQÁOèÜõ‚Fëï-üÙwYîR¯ç£fêI½—öa¤žháì<WÞx'b¬L™>[7~k‡ÅS?‚3'ʱbónXc¤¼ä—m¸rô]È»´'Öm݉Ïü †\‰ãoEzZ*~ÚSŠÞ9Ù¸çé·ðñŠ¸}Ì0L™1/èçµý:dدü‘žŠ]2q¤¼ËW®FóÔ ÄÄ4|öúEïºÔƒˆ‰„èHsq^±Æµ,¥eŠŽH³¯²�`ù²¥¸áÆÑÎÉ€üu—Ïr/ˇûâûs;j¯†Ñ&¢¸¤……E¨««Cß¾}¸?-õ¢Ç‰]pRｬN]za_Ñ/NïÔ¥—ó}éu�èÔ¥—ϲœ}×(GÍÂ"õŒÔ ñÎ{ï£Î‡óÙ ;ý Ï=1¶)ê,™vqmß?»}rGá²Kº�^›ó*êƒÍ;öã/�†^Þ —ÍD— .u–3ç·Qy¦í;å`áª-È»r®ÒŸ=ñ"²súúݶÌ^�Å… ?Bo¿û¨·Æ#­[oˆõu(.ÊÇW¶zìÝ»©.ÂÎbû]›û^œƒfÏÅ…‡º”Y\ø ºß3ï¼ûhžšŽÇߊÍßÿŒÿë ÏŒÞ9°}íB\9úOÈÌ舊_‹Ú±æÍü«K9“^ú§Ëó«ØÛïïïÿ°XÑ$¥ ’[´Â¤—þ‰MŸýÃùÙ{°Ó‘DÂìŠÆgÄ\a™Îå|”%ñÙÒÅ5z¬ËsŸãíê7Æ x.3Ò‘•å|_Šœ_xA/ìß_ŒsUç̬ dddT�”””bÏž‚€¸¸X´iÓÝ»u…5&ÆåC¸"ö G§Ä Öuug÷²²;çø-cÿÞ|ˆ¢¨¨¬ý{ó"/.½ïœØÃÇA$£5 ›Ô3RO4ĉÊJ¤÷è kLœóµãÇO c÷NHHL²ÿ¨ j««p´ì0RšÙ_[üÉ¿]Êi׶*îC›ôNÎ×ÊŽAû.!&.±M[:–KEYiZµÏBÓä¿Û—žÕÕåyåÉ“HïÑ IhѪ :g´Ãõ¹ý–z âã✠š''ãÌñ#8^^Ö¨ÌfMP´ç'´ë|2;´Å½L‚5)Û ÊËœ¯¬ÀÙªó¨©>‡S•Ç•±é³`ðÈ?Ø'=©-ѳS”©ÀŠU_ 951±±HJj [}½KŠ÷ 6[àbh±X�AhÔ÷¤²”–i³Ùü–%1zìM.ÏG‹¥‹?U´]D»X­× Iq ‘–Öƒzö@qq Š @@VV¦Ë²G**piûQÏ_òwa÷î‚;¦T–ÍVËBRb".Ã/¿äÃf³á‚ zaøðaáO¿q‘ÝÀ­^ôU–Ò2GÍ|oWv§žØ¿o—s2 Žšù™˜Fê‰N¨c‘ÜÜU°-1±hšÜÂ嵺úZœ8u­RšášÆâøñ®8sªR&úm›€æ)­Ð²E3‡è—£¾¶gNU"©i³ ö«5É))Eþ4&ÉM“ðä3/aãÆ�Dl^» ‚  ¾¾Îã•�Îœ=–Í“a¿9Ža¹—aç¾ã¸vØ�@Zûö¸çcñõw?ÁjE]m-þ:ó=l]õ±K9‹ ‘–Ñ CÙOFzïý�!MSÚ YóöËŠ@›¶í¸ÿ“ÐB]@€ÐÐ÷•¥´LQAYÀ豿qþéâ…Îç£ÇÞ„¥‹zß.¢Ñ‰¤ˆÒÒ�€¶íÚ¹¼WzÀþzçNÙ°Z­ÈÌÈÀÞ½ûpàÀFRß½[7Ä:Ò!»wëŠò#å())qJ½Ò²²³nvÖ!­=~ù%G#Þ.¡5óVV0GÍümWVvwïßãòÜÛQ3„Ô××óBµD{ˆ§ vúõÛ~ÂM#.Ã÷ÝOVn,Vôè’…ë‡ Æ³sÞG}]sñ‰Ü‹>ýM’qãU��ó,‚56uõuxý©¿��&̘ç\§ªº‰ñqèÖÞçþ"Šêëm¡ùŠ²Ch—ÙºÕõ2“ž®ë½{ßA\=4k¾Û—mÀïFÝ€‰éøqO �àÝ·æ`ÍæïñþÿBrë4X,Ô×Û\"î-’›â’œN8|¤+W}‰”¶Yˆ‰‰E||êëm˜;íîFu$$p/ý^Ęq¿U¼Þ’E ìwuö%yYò¿þEBô[–|Û–,Z�Q±dÑçë£ÇþK-pþºÈË"ÚCžÎ’˜€îÝ\œVWW�6mÞâòúùóÕÊJ”`›Ÿ`ÿ½?> ²Nœ¨DQQNŸ>ƒ:ÙXS[[ùÉNl7j’ÊRZ¦Mý–åœx¸øb,]hŠß;í-ŸÛûþ§_áÆÜKðΛ¯â؉J¬Ú¸Ýoôaõ¦íxð¿ÃO…/£øàa<öÒ»8¼w'jª«Ð25ÇÊÀ–m;¢i«öˆOL‚ÍV”–­�´r)kØeÁ"x÷ïÿ€`EÓ”ÖHj–ìŒÒ{ª#!AO¾ƒ:¡Î>`7΃âDYe½éwÎç‹?ýÄ¥ÜÅŸ~â|̸ßbñ§Ÿx-‹h‡áÇ¡¶¶………8xðW>\†ôô29GUÕyäæ^¸¸8ŸeU¯Fb¢]æÏWŸwˆ~B@eýøãO¨®®FïÞ— u«V!bÍšuQ …>;¼d£sÔÌ_Y@iq¡óÿY]ÏK‹ !OmõZ¥Þ¿<1h€»Ÿz?¬_ìÒ/•¾öCÁa¬Zó"Nýµ5U,V4iÖÉ­ÓPy¬!/}Ū/°õÇ"œ:vuÕçaC‹´l4kÑñ‰M\Ê®8|�­RÓðå¦ð÷÷ÿ‰ã‡öÃf³Gbúäõ¸�_X‚õ6¢¢djª«Ÿ€…‹—¢l¾ã·JpL¢‡ÊŽâƒO>Ç S'cÅÚ­ø¹( ñMš E“ é1ÒÚ¶Áœ¿Ï‡ÅbABb"“šxÝoÿ½tž{é;TŒÖì—ÅŒKp.ï©Ž„#Þ&©~Lܾ:d¹ëneÉe<Ô²�`ñÂù·sñÂùû››½—E4Ill zôèŽòò "5µSº333°{w Ñ£{wp¢ò$JJKÑ·Oo—rö WNOÇÿír)?QVIYÒD1&&6[=Šöîk,b±1¨«­CUUÕßÑÐçKKŠ¯—‘ÙÅytÊSYíß²£fÞÊ’o[Ff@‘‘ÙÅùziq¡ýu QY$©gT‚h—8ýRÉk1±1HÍèŠä6P_[m?ë^bbãœ'×J4Miƒ”ÔŽ¨««l",ñ‰MŸ�›­Þãç¥vì‚äVía«¯(ÇÊ¡E붗€©iHlÚu5Õö‹€N— ­®}.è�Ø·¿Øeüyß!<ùÂ\Ü0t�»û&4On†3窰»¨ —®À©ŠÈìÙOÑ>Û¦cw$·î[}-›@´Õ»Ä[¼m7!ÊEÂÑw|ºp¾âõl²[ê{á.ËW2Ë2neíb±X™™ÂÂ"äïÚK.¾È)å‹Ća±X‘’ÒYnWµ€Ô6mðßÿ~‡sUUˆ‹G÷nݑѱA<”uÑ…½°k÷|ÿýv$ÄÇ#;;«ÑçtÎû÷aÓ¦o�„ï„ÙàæמÓ\‚9OÖWYJ„¾cF—r;ftq¾_ZR„Ž]¼–E©WòÃȨÑIII@R’K¿TúšÕbA“&M4õû9öå<ïžÊŽ±ZÑ´Yr£å=- ��IIM€¤&.ëüßK“!Š"J-ÃÌg!.! 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!„b/JËÊEêp¬w¥žB¡�Ù…ðͪ¢°¹/o¿þ¤ÔCÑúp^½"üRøTÙ¢·gÃMËB`à aÜ/6‘úâØ„B¨È!�¥0ëëõxÐ4i*ÛÕÛ„‚P›‚.o?©/üM!„P€ŠÜQ�=éz{KJ¹Ý†‚F…”ðüÅRŸàÀž3g¦ÕUc\e3�`Û›Ycyd䨱¬B±8'~÷Bg 0x€à¯ôÄЦ1ì5¶bq©ç]t{îMV!„P€ #ò2܉\óø+=1¢×®~ÈtkJ=lB!Ä}$Âÿzh½Ú�/>ÿ÷©ÛQEè¥;­2ô†ŠhQ©çmîÿÇk¬B¡�@è#¿&zŠ�ÔÐÇW-þ-÷©ë QÚµáW(ã¿ÄZ‡µÔ¥„ ÉW0ôš{걬¡²lÙ2V!„ØÙÑ’ ¯ýk"Õ @V¡Hv­^“€þ7¨Aĸ@ôs=2qtbo 4tè„~qRãÚ°Çð¹Šö¬0ÏÞšRÏ›Bq—�iák¿.C×uc`OCl°O7ttðÚï¤6¹É;Ò®Qq{ DíUÚ¼ÕðÄœ`"CrÉðÎ’rà ùNUy`B¡�% c NüõÕrÛþW ß\' F;/PeXüEhšˆðòoóölì¬b@Ø#iXÆö“VFç-+õ<° !„w DìC²"Dn졽ÿ*¯‡¿Šø¯ûk׆ÎjäßAmYÄvp%åÞzRÏ›BqŸ�GéÑeÜÈ=áW$ÍV¯¼.㞘KìݦÃû2’¦;®Æ_Œidr`HTb1©çM!„¸K€"뤮û‘ë: C[G‚xÒ¸ "äÄ9UÄÅ×y…¡=+ŒÒ[vwJýF„Eá;"î1´á=˜zC!Äm$#@Ò°]‘ë½ñóˆHã¿Æù)�¶ï¤zoèØÅßÜmìèRoEþ?©è7‹Àá$n����IEND®B`‚�������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/gui/calculate.rst�����������������������������������������������������0000644�0001754�0001754�00000001407�11610646203�017771� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: calculate ========= Calculate ========= Set calculator -------------- Allows ag to choose a calculator for internal computations (see below). Different density functional codes and force fields, as well as the EMT calculator are available. For the FHI-aims and VASP calculators, it is also possible to export an entire set of input files. Energy and forces ----------------- Invokes the currently set calculator and provides energies and optional forces for all atoms. Energy minimization ------------------- Runs an ASE relaxation using the currently selected calculator with a choice of relaxation algorithm and convergence criteria. Great for quickly (pre-)relaxing a molecule before placing it into a bigger system. Scale system ------------ Stub ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/gui/basics.rst��������������������������������������������������������0000644�0001754�0001754�00000010332�11647035022�017276� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: basics ================================== ag basics and command line options ================================== General use ----------- Visualizing a system with ag is straight-forward using a regular mouse. The scroll function allows to change the magnification, the left mouse button selects atoms, the right mouse button allows to rotate, and the middle button allows to translate the system on the screen. Depending on the number of selected atoms, ag automatically measures different quantities: ================================= ====================================== Selection measurement ================================= ====================================== single atom xyz position and atomic symbol two atoms interatomic distance and symbols three atoms all three internal angles and symbols four atoms, selected sequentially Measures the dihedral angle, e.g. the angle between bonds 12 and 34 more than four atoms chemical composition of selection. ================================= ====================================== ag can save the following file formats: =========== ================================= File format Comment =========== ================================= xyz XYZ file traj ASE trajectory pdb PDB file cube Gaussian cube file py Python script vnl VNL file png Portable Network Graphics pov Persistance of Vision eps Encapsulated PostScript in FHI-aims geometry input POSCAR VASP geometry input bundle ASE bundle trajectory cif Crystallographic Information File =========== ================================= Files ----- The :program:`ag` program can read all the file formats the ASE's :func:`~ase.io.read` function can understand. :: $ ag N2Fe110-path.traj Selecting part of a trajectory ------------------------------ A Python-like syntax for selecting a subset of configurations can be used. Instead of the Python syntax ``list[start:stop:step]``, you use :file:`filaname@start:stop:step`:: $ ag x.traj@0:10:1 # first 10 images $ ag x.traj@0:10 # first 10 images $ ag x.traj@:10 # first 10 images $ ag x.traj@-10: # last 10 images $ ag x.traj@0 # first image $ ag x.traj@-1 # last image $ ag x.traj@::2 # every second image If you want to select the same range from many files, the you can use the :option:`-n` or :option:`--image-number` option:: $ ag -n -1 *.traj # last image from all files $ ag -n 0 *.traj # first image from all files .. tip:: Type :program:`ag -h` for a description of all command line options. Writing files ------------- :: $ ag -n -1 a*.traj -o new.traj Possible formats are: ``traj``, ``xyz``, ``cube``, ``pdb``, ``eps``, ``png``, and ``pov``. For details, see the :mod:`~ase.io` module documentation. Interactive use --------------- The :program:`ag` program can also be launched directly from a Python script or interactive session: >>> from ase import * >>> atoms = ... >>> view(atoms) or >>> view(atoms, repeat=(3, 3, 2)) or, to keep changes to your atoms: >>> atoms.edit() NEB calculations ---------------- Use :menuselection:`Tools --> NEB` to plot energy barrier. :: $ ag --interpolate 3 initial.xyz final.xyz -o interpolated_path.traj Plotting data from the command line ----------------------------------- Plot the energy relative to the energy of the first image as a function of the distance between atom 0 and 5:: $ ag -g "d(0,5),e-E[0]" x.traj $ ag -t -g "d(0,5),e-E[0]" x.traj > x.dat # No GUI, write data to stdout The symbols are the same as used in the plotting data function. Defaults for ag --------------- Using a file ~/.ase/gui.py, certain defaults can be set. If it exists, this file is executed after initializing the variables and colours normally used in ag. One can change the default graphs that are plotted, and the default radii for displaying specific atoms. This example will display the energy evolution and the maximal force in a graph and also display Cu atoms (Z=29) with a radius of 1.6 Angstrom. :: gui_default_settings['gui_graphs_string'] = "i, e - min(E), fmax" gui_default_settings['covalent_radii'] = [[29,1.6]] ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/gui/setup.rst���������������������������������������������������������0000644�0001754�0001754�00000000532�11610646203�017172� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: setup ===== Setup ===== The setup menus allow for the intuitive creation of numerous standard surfaces, nanoparticles, graphene and graphene nanoribbons, as well as nanotubes. Along with creating the geometry within ag, a button provides the necessary python code allowing one to recreate the exact same geometry in ASE scripts. ����������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/atom.rst��������������������������������������������������������������0000644�0001754�0001754�00000006346�11575617122�016227� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: ase.atom The Atom object =============== ASE defines a python class called :class:`Atom` to setup and handle atoms in electronic structure and molecular simulations. From a python script, atoms can be created like this: >>> from ase import Atom >>> a1 = Atom('Si', (0, 0, 0)) >>> a2 = Atom('H', (1.3, 0, 0), mass=2) >>> a3 = Atom(position=(0, 0, 0), Z=14) # same is a1 .. autoclass:: Atom The first argument to the constructor of an :class:`Atom` object is the chemical symbol, and the second argument is the position in Ã… units (see :mod:`units`). The position can be any numerical sequence of length three. The properties of an atom can also be set using keywords like it is done in the *a2* and *a3* examples above. More examples: >>> a = Atom('O', charge=-2) >>> b = Atom(8, charge=-2) >>> c = Atom('H', (1, 2, 3), magmom=1) >>> print a.charge, a.position -2 [ 0. 0. 0.] >>> c.x = 0.0 >>> c.position array([ 0., 2., 3.]) >>> b.symbol 'O' >>> c.tag = 42 >>> c.number 1 >>> c.symbol = 'Li' >>> c.number 3 If the atom object belongs to an Atoms object, then assigning values to the atom attributes will change the corresponding arrays of the atoms object: >>> OH = Atoms('OH') >>> OH[0].charge = -1 >>> OH.get_charges() array([-1., 0.]) Another example: >>> for atom in bulk: ... if atom.symbol = 'Ni': ... atom.magmom = 0.7 # set initial magnetic moment The different properties of an atom can be obtained and changed via attributes (``position``, ``number``, ``tag``, ``momentum``, ``mass``, ``magmom``, ``charge``, ``x``, ``y``, ``z``): >>> a1.position = [1, 0, 0] >>> a1.position array([ 1., 0., 0.]) >>> a1.z = 2.5 >>> a1.position array([ 1. , 0. , 2.5]) >>> a2.magmom = 1.0 That last line will set the initial magnetic moment that some calulators use (similar to the :meth:`~ase.atoms.Atoms.set_initial_magnetic_moments` method). .. note:: The ``position`` and ``momentum`` attributes refer to mutable objects, so in some cases, you may want to use ``a1.position.copy()`` in order to avoid changing the position of ``a1`` by accident. Getting an Atom from an Atoms object ------------------------------------ Indexing an :class:`Atoms` object returns an :class:`Atom` object still remembering that it belongs to the collective :class:`Atoms`: Modifying it will also change the atoms object: >>> atoms = ase.data.molecules.molecule('CH4') >>> atoms.get_positions() array([[ 0. , 0. , 0. ], [ 0.629118, 0.629118, 0.629118], [-0.629118, -0.629118, 0.629118], [ 0.629118, -0.629118, -0.629118], [-0.629118, 0.629118, -0.629118]]) >>> a = atoms[2] >>> a Atom('H', [-0.62911799999999996, -0.62911799999999996, 0.62911799999999996], index=2) >>> a.x = 0 >>> atoms.get_positions() array([[ 0. , 0. , 0. ], [ 0.629118, 0.629118, 0.629118], [ 0. , -0.629118, 0.629118], [ 0.629118, -0.629118, -0.629118], [-0.629118, 0.629118, -0.629118]]) .. seealso:: :epydoc:`atom.Atom`: All the details! :mod:`atoms`: More information about how to use collections of atoms. :mod:`calculators`: Information about how to calculate forces and energies of atoms. ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/transport/������������������������������������������������������������0000755�0001754�0001754�00000000000�11757245034�016561� 5����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/transport/transport_setup.py������������������������������������������0000644�0001754�0001754�00000004636�11410136606�022406� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������# creates: transport_setup.png import numpy as np from ase import Atoms from ase.data.molecules import molecule from ase.io import write a = 3.92 # Experimental lattice constant sqrt = np.sqrt cell = np.array([[a / sqrt(3), 0., 0.], [ 0., a / sqrt(2), 0.], [ 0., a / sqrt(8), a * sqrt(3 / 8.)]]) repeat = (1, 3, 3) A = Atoms('Pt', pbc=True, positions=[(0., 0., 0.)]) B = Atoms('Pt', pbc=True, positions=[(0., 1/3., 1/3.)]) C = Atoms('Pt', pbc=True, positions=[(0., 2/3., 2/3.)]) A *= repeat B *= repeat C *= repeat pyramid_BC = Atoms('Pt4', pbc=True, tags=[1, 1, 1, 2], positions=[( 0., 1/3., 1/3.), # B ( 0., 4/3., 1/3.), # B ( 0., 1/3., 4/3.), # B ( 1., 2/3., 2/3.), # C ]) inv_pyramid_BC = pyramid_BC.copy() inv_pyramid_BC.positions[:, 0] *= -1 def pos(atoms, x): atoms2 = atoms.copy() atoms2.translate([x, 0, 0]) return atoms2 princ = pos(A, 0) + pos(B, 1) + pos(C, 2) large = (pos(princ, -8) + pos(princ, -4) + pos(princ, 0) + pos(A, 3) + pos(pyramid_BC, 4) + pos(inv_pyramid_BC, 3) + pos(princ, 4) + pos(princ, 8)) large.set_cell(cell * repeat, scale_atoms=True) large.cell[0, 0] = 7 * large.cell[0, 0] dist=18. large.cell[0, 0] += dist - cell[0, 0] large.positions[-(9 * 6 + 4):, 0] += dist - cell[0, 0] tipL, tipR = large.positions[large.get_tags() == 2] tipdist = np.linalg.norm(tipL - tipR) mol = molecule('C6H6', pbc=True, tags=[3] * 6 + [4] * 6) mol.rotate('y', 'x') mol.rotate('z', 'y') large += mol large.positions[-len(mol):] += tipL large.positions[-len(mol):, 0] += tipdist / 2 old = large.cell.copy() large *= (1, 1, 3) large.set_cell(old) #view(large) colors = np.zeros((len(large), 3)) colors[:] = [1., 1., .75] pr = [.7, .1, .1] H = [1, 1, 1] C = [.3, .3, .3] Pt = [.7, .7, .9] colors[164:218] = pr # principal layer colors[289:316] = pr # principal layer colors[218:289] = Pt # Central region Pt colors[316:322] = C # Molecule C colors[322:328] = H # Molecule H #write('test.png', large, rotation='-90x,-13y', radii=.9, show_unit_cell=0, colors=colors) write('transport_setup.pov', large, rotation='-90x,-13y', radii=1.06, show_unit_cell=0, colors=colors, display=False, transparent=False, run_povray=True) ��������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/transport/transport.rst�����������������������������������������������0000644�0001754�0001754�00000007017�11054035050�021335� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: transport :synopsis: Electron transport ================== Electron transport ================== .. default-role:: math The :mod:`transport` module of ASE assumes the generic setup of the system in question sketched below: . . . |setup| . . . .. |setup| image:: transport_setup.png :align: middle There is a central region (blue atoms plus the molecule) connected to two semi-infinite leads constructed by infinitely repeated *principal layers* (red atoms). The entire structure may be periodic in the transverse direction, which can be effectively sampled using **k**-points (yellowish atoms). The system is described by a Hamiltonian matrix which must be represented in terms of a localized basis set such that each element of the Hamiltonian can be ascribed to either the left, central, or right region, *or* the coupling between these. The Hamiltonian can thus be decomposed as: .. math:: H = \begin{pmatrix} \ddots & V_L & & & \\ V_L^\dagger & H_L & V_L & & \\ & V_L^\dagger & H_C & V_R & \\ & & V_R^\dagger & H_R & V_R \\ & & & V_R^\dagger & \ddots \end{pmatrix} where `H_{L/R}` describes the left/right principal layer, and `H_C` the central region. `V_{L/R}` is the coupling between principal layers, *and* from the principal layers into the central region. The central region must contain at least one principal layer on each side, and more if the potential has not converged to its bulk value at this size. The central region is assumed to be big enough that there is no direct coupling between the two leads. The principal layer must be so big that there is only coupling between nearest neighbor layers. Having defined `H_{L/R}`, `V_{L/R}`, and `H_C`, the elastic transmission function can be determined using the Nonequilibrium Green Function (NEGF) method. This is achieved by the class: :class:`~ase.transport.calculators.TransportCalculator` (in ase.transport.calculators) which makes no requirement on the origin of these five matrices. .. class:: ase.transport.calculators.TransportCalculator(energies, h, h1, h2, s=None, s1=None, s2=None, align_bf=False) Determine transport properties of device sandwiched between semi-infinite leads using nonequillibrium Green function methods. energies is the energy grid on which the transport properties should be determined. h1 (h2) is a matrix representation of the Hamiltonian of two principal layers of the left (right) lead, and the coupling between such layers. h is a matrix representation of the Hamiltonian of the scattering region. This must include at least on lead principal layer on each side. The coupling in (out) of the scattering region is assumed to be identical to the coupling between left (right) principal layers. s, s1, and s2 are the overlap matrices corresponding to h, h1, and h2. Default is the identity operator. If align_bf is True, the onsite elements of the Hamiltonians will be shifted to a common fermi level. This module is stand-alone in the sense that it makes no requirement on the origin of these five matrices. They can be model Hamiltonians or derived from different kinds of electronic structure codes. For an example of how to use the :mod:`transport` module, see the GPAW exercise on `electron transport`_ .. _electron transport: http://wiki.fysik.dtu.dk/gpaw/exercises/transport/transport.html .. default-role:: �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/trajectory.rst��������������������������������������������������������0000644�0001754�0001754�00000004244�11526512754�017451� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: ase.io.trajectory :synopsis: Trajectory input-output module ================ Trajectory files ================ The :mod:`io.trajectory` module defines Trajectory objects, that is objects storing the temporal evolution of a simulation. A Trajectory file contains one or more :class:`~ase.atoms.Atoms` objects, usually to be interpreted as a time series, although that is not a requirement. The :mod:`io.trajectory` module currently defines two kinds of Trajectory files, the PickleTrajectory and the BundleTrajectory. PickleTrajectory is the recommended Trajectory format, BundleTrajectory is only intended for large molecular dynamics simulations (large meaning millions of atoms). In the future, other kinds of Trajectories may be defined, with similar Python interface but with different underlying file formats. PickleTrajectory ================ The PickleTrajectory has the interface .. autoclass:: ase.io.trajectory.PickleTrajectory :members: Note that there is apparently no methods for reading the trajectory. Reading is instead done by indexing the trajectory, or by iterating over the trajectory: ``traj[0]`` and ``traj[-1]`` return the first and last :class:`~ase.atoms.Atoms` object in the trajectory. Examples -------- Reading a configuration:: from ase.io.trajectory import PickleTrajectory traj = PickleTrajectory("example.traj") atoms = traj[-1] Reading all configurations:: traj = PickleTrajectory("example.traj") for atoms in traj: # Analyze atoms Writing every 100th time step in a molecular dynamics simulation:: # dyn is the dynamics (e.g. VelocityVerlet, Langevin or similar) traj = PickleTrajectory("example.traj", "w", atoms) dyn.attach(traj.write, interval=100) dyn.run(10000) traj.close() BundleTrajectory ================ The BundleTrajectory has the interface .. autoclass:: ase.io.bundletrajectory.BundleTrajectory :members: See also ======== The function :func:`ase.io.write` can write a single :class:`~ase.atoms.Atoms` object to a Trajectory file. The function :func:`ase.io.read` can read an :class:`~ase.atoms.Atoms` object from a Trajectory file, per default it reads the last one. ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/thermochemistry.rst���������������������������������������������������0000644�0001754�0001754�00000021676�11563320447�020516� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: thermochemistry :synopsis: Thermochemistry module =============== Thermochemistry =============== ASE contains a :mod:`thermochemistry` module that lets the user derive commonly desired thermodynamic quantities from ASE output and some user-specified parameters. Two cases are currently handled by this module: the ideal-gas limit (in which translational and rotational degrees of freedom are taken into account) and the harmonic limit (generally used for adsorbates, in which all degrees of freedom are treated harmonically). Both cases rely on good vibrational energies being fed to the calculators, which can be calculated with the :mod:`vibrations` module. Ideal-gas limit =============== The thermodynamic quantities of ideal gases are calculated by assuming that all spatial degrees of freedom are separable into translational, rotational, and vibrational degrees of freedom. The :class:`~ase.thermochemistry.IdealGasThermo` class supports calculation of enthalpy (:math:`H`), entropy (:math:`S`), and free energy (:math:`G`), and has the interface listed below. .. autoclass:: ase.thermochemistry.IdealGasThermo :members: Example ------- The :class:`~ase.thermochemistry.IdealGasThermo` class would generally be called after an energy optimization and a vibrational analysis. The user needs to supply certain parameters if the entropy or free energy are desired, such as the geometry and symmetry number. An example on the nitrogen molecule is:: from ase.data.molecules import molecule from ase.calculators.emt import EMT from ase.optimize import QuasiNewton from ase.vibrations import Vibrations from ase.thermochemistry import IdealGasThermo atoms = molecule('N2') atoms.set_calculator(EMT()) dyn = QuasiNewton(atoms) dyn.run(fmax=0.01) electronicenergy = atoms.get_potential_energy() vib = Vibrations(atoms) vib.run() vib_energies = vib.get_energies() thermo = IdealGasThermo(vib_energies=vib_energies, electronicenergy=electronicenergy, atoms=atoms, geometry='linear', symmetrynumber=2, spin=0) G = thermo.get_free_energy(temperature=298.15, pressure=101325.) This will give the thermodynamic summary output:: Enthalpy components at T = 298.15 K: =============================== E_elec 0.000 eV E_ZPE 0.116 eV Cv_trans (0->T) 0.039 eV Cv_rot (0->T) 0.026 eV Cv_vib (0->T) 0.000 eV (C_v -> C_p) 0.026 eV ------------------------------- H 0.206 eV =============================== Entropy components at T = 298.15 K and P = 101325.0 Pa: ================================================= S T*S S_trans (1 atm) 0.0015579 eV/K 0.464 eV S_rot 0.0004314 eV/K 0.129 eV S_elec 0.0000000 eV/K 0.000 eV S_vib 0.0000001 eV/K 0.000 eV S (1 atm -> P) -0.0000000 eV/K -0.000 eV ------------------------------------------------- S 0.0019893 eV/K 0.593 eV ================================================= Free energy components at T = 298.15 K and P = 101325.0 Pa: ======================= H 0.206 eV -T*S -0.593 eV ----------------------- G -0.387 eV ======================= Harmonic limit ============== In the harmonic limit, all degrees of freedom are treated harmonically. The :class:`HarmonicThermo` class supports the calculation of internal energy, entropy, and free energy. This class uses all of the energies given to it in the vib_energies list; this is a list as can be generated with the .get_energies() method of :class:`ase.vibrations.Vibrations`, but the user should take care that all of these energies are real (non-imaginary). The class :class:`HarmonicThermo` has the interface described below. .. autoclass:: ase.thermochemistry.HarmonicThermo :members: Background ========== **Ideal gas.** The conversion of electronic structure calculations to thermodynamic properties in the ideal-gas limit is well documented; see, for example, Chapter 10 of Cramer, 2004. The key equations used in the :class:`~ase.thermochemistry.IdealGasThermo` class are summarized here. C.J. Cramer. *Essentials of Computational Chemistry*, Second Edition. Wiley, 2004. The ideal-gas enthalpy is calculated from extrapolation of the energy at 0 K to the relevant temperature (for an ideal gas, the enthalpy is not a function of pressure): .. math :: H(T) = E_\text{elec} + E_\text{ZPE} + \int_0^\text{T} C_P \, \text{d}T where the first two terms are the electronic energy and the zero-point energy, and the integral is over the constant-pressure heat capacity. The heat capacity is separable into translational, rotational, vibrational, and electronic parts (plus a term of :math:`k_\text{B}` to switch from constant-volume to constant-pressure): .. math :: C_P = k_\text{B} + C_{V\text{,trans}} + C_{V\text{,rot}} + C_{V\text{,vib}} + C_{V\text{,elec}} The translational heat capacity is 3/2 :math:`k_\text{B}` for a 3-dimensional gas. The rotational heat capacity is 0 for a monatomic species, :math:`k_\text{B}` for a linear molecule, and 3/2 :math:`k_\text{B}` for a nonlinear molecule. In this module, the electronic component of the heat capacity is assumed to be 0. The vibrational heat capacity contains :math:`3N-6` degrees of freedom for nonlinear molecules and :math:`3N-5` degrees of freedom for linear molecules (where :math:`N` is the number of atoms). The integrated form of the vibrational heat capacity is: .. math :: \int_0^T C_{V,\text{vib}} \text{d}T = \sum_i^\text{vib DOF} \frac{\epsilon_i}{e^{\epsilon_i / k_\text{B} T} - 1 } where :math:`\epsilon_i` are the energies associated with the vibrational frequencies, :math:`\epsilon_i = h \omega_i`. The ideal gas entropy can be calculated as a function of temperature and pressure as: .. math :: S(T,P) &= S(T,P^\circ) - k_\text{B} \ln \frac{P}{P^\circ} \\ &= S_\text{trans} + S_\text{rot} + S_\text{elec} + S_\text{vib} - k_\text{B} \ln \frac{P}{P^\circ} where the translational, rotational, electronic, and vibrational components are calculated as below. (Note that the translational component also includes components from the Stirling approximation, and that the vibrational degrees of freedom are enumerated the same as in the above.) .. math :: S_\text{trans} = k_\text{B} \left\{ \ln \left[ \left( \frac{2 \pi M k_\text{B} T}{h^2} \right)^{3/2} \frac{k_\text{B} T}{P^\circ} \right] + \frac{5}{2} \right\} .. math :: S_\text{rot} = \left\{ \begin{array}{ll} 0 & \text{, if monatomic} \\ k_\text{B} \left[ \ln \left( \frac{8\pi^2 I k_\text{B}T}{\sigma h^2}\right) + 1 \right] & \text{, if linear} \\ k_\text{B} \left\{ \ln \left[ \frac{\sqrt{\pi I_\text{A} I_\text{B} I_\text{C}}}{\sigma} \left(\frac{8\pi^2 k_\text{B} T}{h^2}\right)^{3/2}\right] + \frac{3}{2} \right\} & \text{, if nonlinear} \\ \end{array} \right. .. math :: S_\text{vib} = k_\text{B} \sum_i^\text{vib DOF} \left[ \frac{\epsilon_i}{k_\text{B}T\left(e^{\epsilon_i/k_\text{B}T}-1\right)} - \ln \left( 1 - e^{-\epsilon_i/k_\text{B}T} \right)\right] .. math :: S_\text{elec} = k_\text{B} \ln \left[ 2 \times \left(\text{spin multiplicity}\right) + 1\right] :math:`I_\text{A}` through :math:`I_\text{C}` are the three principle moments of inertia for a non-linear molecule. :math:`I` is the degenerate moment of inertia for a linear molecule. :math:`\sigma` is the symmetry number of the molecule. The ideal-gas free energy is then just calculated from the combination of the enthalpy and entropy: .. math :: G(T,P) = H(T) - T\, S(T,P) **Harmonic limit.** The conversion of electronic structure calculation information into thermodynamic properties is less established for adsorbates. However, the simplest approach often taken is to treat all :math:`3N` degrees of freedom of the adsorbate harmonically since the adsorbate often has no real translational or rotational degrees of freedom. This is the approach implemented in the :class:`~ase.thermochemistry.HarmonicThermo` class. Thus, the internal energy and entropy of the adsorbate are calculated as .. math :: U(T) = E_\text{elec} + E_\text{ZPE} + \sum_i^\text{harm DOF} \frac{\epsilon_i}{e^{\epsilon_i / k_\text{B} T} - 1 } .. math :: S = k_\text{B} \sum_i^\text{harm DOF} \left[ \frac{\epsilon_i}{k_\text{B}T\left(e^{\epsilon_i/k_\text{B}T}-1\right)} - \ln \left( 1 - e^{-\epsilon_i/k_\text{B}T} \right)\right] and the free energy is calculated as .. math :: G(T,P) = U(T) - T\, S(T,P) In this case, the number of harmonic energies (:math:`\epsilon_i`) used in the summation is generally :math:`3N`, where :math:`N` is the number of atoms in the adsorbate. ������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/neb.rst���������������������������������������������������������������0000644�0001754�0001754�00000012200�11614020605�016001� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������=================== Nudged elastic band =================== .. module:: neb :synopsis: Nudged Elastic Band method. .. default-role:: math The Nudged Elastic Band method is a technique for finding transition paths (and corresponding energy barriers) between given initial and final states. The method involves constructing a "chain" of "replicas" or "images" of the system and relaxing them in a certain way. Relevant literature References: 1. H. Jonsson, G. Mills, and K. W. Jacobsen, in 'Classical and Quantum Dynamics in Condensed Phase Systems', edited by B. J. Berne, G. Cicotti, and D. F. Coker, World Scientific, 1998 [standard formulation] 2. 'Improved Tangent Estimate in the NEB method for Finding Minimum Energy Paths and Saddle Points', Graeme Henkelman and Hannes Jonsson, J. Chem. Phys. 113, 9978 (2000) [improved tangent estimates] 3. 'A Climbing-Image NEB Method for Finding Saddle Points and Minimum Energy Paths', Graeme Henkelman, Blas P. Uberuaga and Hannes Jonsson, J. Chem. Phys. 113, 9901 (2000) The NEB class ============= This module defines one class: .. class:: NEB(images, k=0.1, climb=False) Example of use:: # Read initial and final states: initial = read('A.traj') final = read('B.traj') # Make a band consisting of 5 images: images = [initial] images += [initial.copy() for i in range(3)] images += [final] neb = NEB(images) # Interpolate linearly the potisions of the three middle images: neb.interpolate() # Set calculators: for image in images[1:4]: image.set_calculator(MyCalculator(...)) # Optimize: optimizer = MDMin(neb, trajectory='A2B.traj') optimizer.run(fmax=0.04) Notice the use of the :meth:`~NEB.interpolate` method to get a good initial guess for the path from A to B. .. method:: NEB.interpolate() Interpolate path linearly from initial to final state. Note also that only the internal images (not the endpoints) need have calculators attached. .. seealso:: :mod:`optimize`: Information about energy minimization (optimization). :mod:`calculators`: How to use calculators. :ref:`tutorials`: * :ref:`diffusion_tutorial` * :ref:`neb1` * :ref:`neb2` .. note:: If there are `M` images and each image has `N` atoms, then the NEB object behaves like one big Atoms object with `MN` atoms, so its :meth:`get_positions` method will return a `MN \times 3` array. Trajectories ============ The line:: optimizer = QuasiNewton(neb, trajectory='A2B.traj') will write all images to one file. The Trajector object knows about NEB calculations, so it will write `M` images with `N` atoms at every iteration and not one big configuration containing `MN` atoms. The result of the latest iteration can now be analysed with this command: :command:`ag A2B.traj@-5:`. For the example above, you can write the images to individual trajectory files like this:: for i in range(1, 4): qn.attach(PickleTrajectory('A2B-%d.traj' % d, 'w', images[i]) The result of the latest iteration can be analysed like this: .. highlight:: bash :: $ ag A.traj A2B-?.traj B.traj -n -1 .. highlight:: python Restarting ========== Restart the calculation like this:: images = read('A2B.traj@-5:') Climbing image ============== The "climbing image" variation involves designating a specific image to behave differently to the rest of the chain: it feels no spring forces, and the component of the potential force parallel to the chain is reversed, such that it moves towards the saddle point. This depends on the adjacent images providing a reasonably good approximation of the correct tangent at the location of the climbing image; thus in general the climbing image is not turned on until some iterations have been run without it (generally 20% to 50% of the total number of iterations). To use the climbing image NEB method, instantiate the NEB object like this:: neb = NEB(images, climb=True) .. note:: Quasi-Newton methods, such as BFGS, are not well suited for climbing image NEB calculations. FIRE have been known to give good results, although convergence is slow. Parallelization over images =========================== Some calculators can parallelize over the images of a NEB calculation. The script will have to be run with an MPI-enabled Python interpreter like GPAW_'s gpaw-python_. All images exist on all processors, but only some of them have a calculator attached:: from ase.parallel import rank, size # Number of internal images: n = len(images) - 2 j = rank * n // size for i, image in enumerate(images[1:-1]): if i == j: image.set_calculator(EMT()) Create the NEB object with ``NEB(images, parallel=True)`` and let the master processes write the images:: if rank % (size // n) == 0: traj = PickleTrajectory('neb%d.traj' % j, 'w', images[1 + j], master=True) optimizer.attach(traj) For a complete example using GPAW_, see the here_. .. _GPAW: http://wiki.fysik.dtu.dk/gpaw .. _gpaw-python: https://wiki.fysik.dtu.dk/gpaw/documentation/manual.html#parallel-calculations .. _here: https://wiki.fysik.dtu.dk/gpaw/tutorials/neb/neb.html .. default-role:: ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/visualize/������������������������������������������������������������0000755�0001754�0001754�00000000000�11757245034�016540� 5����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/visualize/vtk.rst�����������������������������������������������������0000644�0001754�0001754�00000003116�11170133374�020067� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: vtk :synopsis: Use of the Visualization Toolkit. .. index:: vtk =========== ASE-VTK =========== For ASE, the :mod:`~visualize.vtk` interface consists of Python modules for automatic visualization of positions, bonds, forces and volume data (e.g. wave functions) from an :class:`~atoms.Atoms` object, provided such data is made available by the calculator. .. note:: The Python modules in ASE are intended to wrap lower-level functionality of the VTK object models in small and easy-to-comprehend classes. To be able to distinguish between build-in VTK objects and their wrappers, and because VTK uses the CamelCase naming convention whereas ASE uses lower-case cf. our :ref:`coding conventions `, all variables referring to VTK built-in types are prefixed by ``vtk_``. However, both VTK and wrapper classes are named according to the standard ``vtkFooBar``. Representing atoms ================== .. autoclass:: ase.visualize.vtk.atoms.vtkAtoms :members: :show-inheritance: Atom-centered data ------------------ The superclass :class:`~ase.visualize.vtk.grid.vtkAtomicPositions` implements the basic concepts for representing atomic-centered data in VTK. .. autoclass:: ase.visualize.vtk.grid.vtkAtomicPositions :members: .. :show-inheritance: Predefined shapes ------------------ The class :class:`~ase.visualize.vtk.module.vtkGlyphModule` implements the lower-level objects for representing predefined shapes (glyphs) in VTK. .. autoclass:: ase.visualize.vtk.module.vtkGlyphModule :members: :inherited-members: .. :show-inheritance: ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/save_pov.py�����������������������������������������������������������0000644�0001754�0001754�00000004563�11410136606�016717� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������# creates: NaCl_C6H6.png import numpy as np from ase import Atoms from ase.io import write from ase.data.molecules import molecule a = 5.64 # Lattice constant for NaCl cell = [a / np.sqrt(2), a / np.sqrt(2), a] atoms = Atoms(symbols='Na2Cl2', pbc=True, cell=cell, scaled_positions=[(.0, .0, .0), (.5, .5, .5), (.5, .5, .0), (.0, .0, .5),]) * (3, 4, 2) + molecule('C6H6') # Move molecule to 3.5Ang from surface, and translate one unit cell in xy atoms.positions[-12:, 2] += atoms.positions[:-12, 2].max() + 3.5 atoms.positions[-12:, :2] += cell[:2] # Mark a single unit cell atoms.cell = cell # View used to start ag, and find desired viewing angle #view(atoms) rot='35x,63y,36z' # found using ag: 'view -> rotate' # Common kwargs for eps, png, pov kwargs = { 'rotation' : rot, # text string with rotation (default='' ) 'radii' : .85, # float, or a list with one float per atom 'colors' : None,# List: one (r, g, b) tuple per atom 'show_unit_cell': 2, # 0, 1, or 2 to not show, show, and show all of cell } # Extra kwargs only avaliable for povray (All units in angstrom) kwargs.update({ 'run_povray' : True, # Run povray or just write .pov + .ini files 'display' : False,# Display while rendering 'pause' : True, # Pause when done rendering (only if display) 'transparent' : False,# Transparent background 'canvas_width' : None, # Width of canvas in pixels 'canvas_height': None, # Height of canvas in pixels 'camera_dist' : 50., # Distance from camera to front atom 'image_plane' : None, # Distance from front atom to image plane 'camera_type' : 'perspective', # perspective, ultra_wide_angle 'point_lights' : [], # [[loc1, color1], [loc2, color2],...] 'area_light' : [(2., 3., 40.), # location 'White', # color .7, .7, 3, 3], # width, height, Nlamps_x, Nlamps_y 'background' : 'White', # color 'textures' : None, # Length of atoms list of texture names 'celllinewidth': 0.1, # Radius of the cylinders representing the cell }) # Write the .pov (and .ini) file. If run_povray=False, you must run command # `povray filename.ini` to convert .pov file to .png write('NaCl_C6H6.pov', atoms, **kwargs) ���������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/io.rst����������������������������������������������������������������0000644�0001754�0001754�00000004336�11374470643�015675� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: io :synopsis: File input-output module File input and output ===================== The :mod:`io` module has two basic functions: :func:`read` and :func:`write`. The two methods are described here: .. autofunction:: ase.io.read .. autofunction:: ase.io.write The :func:`read` function is only designed to retrive the atomic configuration from a file, but for the CUBE format you can import the function: .. function:: read_cube_data which will return a ``(data, atoms)`` tuple:: from ase.io.cube import read_cube_data data, atoms = read_cube_data('abc.cube') Examples ======== :: from ase.lattice.surface import * adsorbate = Atoms('CO') adsorbate[1].z = 1.1 a = 3.61 slab = fcc111('Cu', (2, 2, 3), a=a, vacuum=7.0) add_adsorbate(slab, adsorbate, 1.8, 'ontop') Write PNG image:: write('slab.png', slab * (3, 3, 1), rotation='10z,-80x') .. image:: io1.png Write POVRAY file:: write('slab.pov', slab * (3, 3, 1), rotation='10z,-80x') This will write both a ``slab.pov`` and a ``slab.ini`` file. Convert to PNG with the command ``povray slab.ini`` or use the ``run_povray=True`` option: .. image:: io2.png Here is an example using ``bbox``:: d = a / 2**0.5 write('slab.pov', slab * (2, 2, 1), bbox=(d, 0, 3 * d, d * 3**0.5)) .. image:: io3.png Note that the XYZ-format does not contain information about the unic cell: >>> write('slab.xyz', slab) >>> a = read('slab.xyz') >>> a.get_cell() array([[ 1., 0., 0.], [ 0., 1., 0.], [ 0., 0., 1.]]) >>> a.get_pbc() array([False, False, False], dtype=bool) Use ASE's native format for writing all information: >>> write('slab.traj', slab) >>> b = read('slab.traj') >>> b.get_cell() array([[ 5.10531096e+00, -4.11836034e-16, 1.99569088e-16], [ 2.55265548e+00, 4.42132899e+00, 7.11236625e-17], [ 8.11559027e+00, 4.68553823e+00, 1.32527034e+01]]) >>> b.get_pbc() array([ True, True, True], dtype=bool) A script showing all of the povray parameters, and generating the image below, can be found here: :trac:`doc/ase/save_pov.py` .. image:: NaCl_C6H6.png An other example showing how to change colors and textures in pov can be found here: :trac:`doc/tutorials/saving_graphics.py` ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/iopng.py��������������������������������������������������������������0000644�0001754�0001754�00000001371�11563153751�016214� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������# creates: io1.png io2.png io3.png from ase import Atoms from ase.lattice.surface import fcc111, add_adsorbate from ase.io import write, read adsorbate = Atoms('CO') adsorbate[1].z = 1.1 a = 3.61 slab = fcc111('Cu', (2, 2, 3), a=a, vacuum=7.0) add_adsorbate(slab, adsorbate, 1.8, 'ontop') #view(slab) write('io1.png', slab * (3, 3, 1), rotation='10z,-80x') write('io2.pov', slab * (3, 3, 1), rotation='10z,-80x', transparent=False, display=False, run_povray=True) d = a / 2**0.5 write('io3.pov', slab * (2, 2, 1), bbox=(d, 0, 3 * d, d * 3**0.5), transparent=False, display=False, run_povray=True) write('slab.xyz', slab) a = read('slab.xyz') a.get_cell() a.get_pbc() write('slab.traj', slab) b = read('slab.traj') b.get_cell() b.get_pbc() �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/structure.rst���������������������������������������������������������0000644�0001754�0001754�00000004227�11636312743�017322� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: structure .. seealso:: * The :mod:`lattice` module * The :mod:`~lattice.spacegroup` module * The :mod:`~lattice.surface` module .. _bulk-crystal-section: Common bulk crystals ==================== .. autofunction:: ase.structure.bulk examples: >>> from ase.structure import bulk >>> a1 = bulk('Cu', 'fcc', a=3.6) >>> a2 = bulk('Cu', 'fcc', a=3.6, orthorhombic=True) >>> a3 = bulk('Cu', 'fcc', a=3.6, cubic=True) >>> a1.cell array([[ 0. , 1.8, 1.8], [ 1.8, 0. , 1.8], [ 1.8, 1.8, 0. ]]) >>> a2.cell array([[ 2.54558441, 0. , 0. ], [ 0. , 2.54558441, 0. ], [ 0. , 0. , 3.6 ]]) >>> a3.cell array([[ 3.6, 0. , 0. ], [ 0. , 3.6, 0. ], [ 0. , 0. , 3.6]]) |a1| |a2| |a3| .. |a1| image:: a1.png .. |a2| image:: a2.png .. |a3| image:: a3.png .. _nanotubes-section: Nanotubes ========= .. autofunction:: ase.structure.nanotube examples: >>> from ase.structure import nanotube >>> cnt1 = nanotube(6, 0, length=4) >>> cnt2 = nanotube(3, 3, length=6, bond=1.4, symbol='Si') |cnt1| |cnt2| .. |cnt1| image:: cnt1.png .. |cnt2| image:: cnt2.png .. _nanoribbons-section: Graphene nanoribbons ==================== .. autofunction:: ase.structure.graphene_nanoribbon examples: >>> from ase.structure import graphene_nanoribbon >>> gnr1 = graphene_nanoribbon(3, 4, type='armchair') >>> gnr2 = graphene_nanoribbon(2, 6, type='zigzag', saturated=True, >>> C_H=1.1, C_C=1.4, vacc=6.0, >>> magnetic=True,initial_mag=1.12) |gnr1| |gnr2| .. |gnr1| image:: gnr1.png .. |gnr2| image:: gnr2.png Special points in the Brillouin zone ==================================== You can find the psecial points in the Brillouin zone: >>> from ase.structure import bulk >>> from ase.dft.kpoints import ibz_points, get_bandpath >>> si = bulk('Si', 'diamond', a=5.459) >>> points = ibz_points['fcc'] >>> G = points['Gamma'] >>> X = points['X'] >>> W = points['W'] >>> K = points['K'] >>> L = points['L'] >>> kpts, x, X = get_bandpath([W, L, G, X, W, K], si.cell) >>> print len(kpts), len(x), len(X) 50 50 6 �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/cmdline.rst�����������������������������������������������������������0000644�0001754�0001754�00000021011�11721367610�016661� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. highlight:: bash .. index:: ase .. _command line tools: ================== Command line tools ================== The :program:`ase` program can be used to do calculations with :ref:`ASE supported calculators` on the command line without having to write a Python script. The syntax is:: $ ase [calculator] [task] [options] system(s) The name of the calculator must be lower case and will default to :mod:`EMT `. The task must be ``molecule`` or ``bulk``. There are several ways to specify the system or systems to perform the calculations on: * Chemical names: ``H2O`` or ``Fe``. Default :ref:`molecule` definitions are used. * Range of chemical symbols: ``Sc-Zn`` (3d-metals) * Special names: ``G2``, ``G2-1`` or ``S22`` * File names: ``benzene.xyz`` or ``slab.traj`` The exact meaning of these names will depend on the task. Simple examples:: $ ase emt H2 --relax=0.01 $ ase abinit bulk Si -a 5.5 -p ecut=150 -k 4,4,4 Command line options ==================== General options: -h, --help Show help message and exit. -t TAG, --tag=TAG String tag added to filenames. -M , --magnetic-moment= Magnetic moment(s). Use "-M 1" or "-M 2.3,-2.3". -G, --gui Pop up ASE's GUI. -s, --write-summary Write summary. --slice= Select subset of calculations using Python slice syntax. Use "::2" to do every second calculation and ":-5" to do the last five. -w FILENAME, --write-to-file=FILENAME Write configuration to file. -i, --interactive-python-session Run calculation inside interactive Python session. A possible $PYTHONSTARTUP script will be imported and the "atoms" variable refers to the Atoms object. -l, --use-lock-files Skip calculations where the json lock-file or result file already exists. -R FMAX, --relax=FMAX Relax internal coordinates using L-BFGS algorithm. -F , --fit= Find optimal bondlength and vibration frequency for dimer molecules or optimal volume and bulk modulus for bulk systems using N points and a variation from -x % to +x % for the bondlength or lattice constants. --constrain-tags= Constrain atoms with tags T1, T2, ... -k , --monkhorst-pack= Monkhorst-Pack sampling of BZ. Example: "4,4,4": 4x4x4 k-points, "4,4,4g": same set of k-points shifted to include the Gamma point. --k-point-density=K_POINT_DENSITY Density of k-points in Ã…. -p , --parameters= Comma-separated key=value pairs of calculator specific parameters. Options specific to the molecule task: -v VACUUM, --vacuum=VACUUM Amount of vacuum to add around isolated systems (in Angstrom). --unit-cell=CELL Unit cell. Examples: "10.0" or "9,10,11" (in Angstrom). --bond-length=BOND_LENGTH Bond length of dimer in Angstrom. --atomize Calculate Atomization energies. Options specific to the bulk task: -x CRYSTAL_STRUCTURE, --crystal-structure=CRYSTAL_STRUCTURE Crystal structure. -a LATTICE_CONSTANT, --lattice-constant=LATTICE_CONSTANT Lattice constant in Ã…. --c-over-a=C_OVER_A c/a ratio. -O, --orthorhombic Use orthorhombic unit cell. -C, --cubic Use cubic unit cell. -r REPEAT, --repeat=REPEAT Repeat unit cell. Use "-r 2" or "-r 2,3,1". Molecules ========= Example:: $ ase abinit H2 -p ecut=200,xc=LDA -F 5,1 --atomize This will calculate the energy of a :mol:`H_2` molecule using :mod:`Abinit ` with a planewave cutoff of 200 eV and the LDA XC-functional. A fit using 5 points and a variation of the bond length from -1 % to +1 % is made and in addition the energy of a single hydrogen atom is also calculated. Results are written to json files and can be analysed with:: $ ase abinit H H2 -s name E E-E0 d0 hnu Ea Ea0 eV eV Ang meV eV eV H2 -29.703 0.022 0.770 556.096 4.852 4.873 H -12.426 .. note:: The json files are simple text files that can be more or less'ed or pretty printed with ``python -m json.tool H2-molecule-abinit.jon``. Bulk systems ============ Example:: $ ase bulk Ni Cu Pd Ag Pt Au -F 5,1 Here we used the default EMT potential and the result is:: $ ase bulk Ni Cu Pd Ag Pt Au -s name E E-E0 V0 B eV eV Ang^3 GPa Ni -0.009 0.005 10.600 175.978 Ag 0.002 0.002 16.775 100.151 Pt -0.000 0.000 15.080 278.087 Au 0.003 0.003 16.684 173.868 Pd 0.000 0.001 14.588 179.105 Cu -0.006 0.001 11.565 134.439 More examples ------------- Anti-ferromagnetic bcc iron:: $ ase vasp bulk -x bcc Fe -C -M 2.3,-2.3 -p xc=PBE -k 8,8,8 Bulk silicon (128 atoms, `\Gamma` point only):: $ ase abinit bulk Si -r 4,4,4 -k 1,1,1 -a 5.46 Bulk aluminum in orthorhombic cell with LDA and fixed rmt:: $ ase elk bulk --orthorhombic Al -k 4,4,4 -a 4.05 -p "swidth=0.1,rmt={'Al': 1.9}" Batch jobs ========== Suppose you want to run a large number of similar calculations like relaxing the structure of all the molecules in the :ref:`G2-1 database `. You could do that by submitting this job to your compute cluster:: $ ase gpaw G2-1 -v 6.0 -p xc=vdW-DF,h=0.18 -R 0.02 The molecule task will expand ``G2-1`` to a lot of molecules, so it makes sense to use :option:`-l` option (:option:`--use-lock-files`) and submit the same job many times. A lock file will be created for each started calculation and calculations with existing lock file skipped. Moreover the calculations can be run in parallel (if parallel version of GPAW is installed):: $ mpiexec gpaw-python `which ase` gpaw G2-1 -v 6.0 -p xc=vdW-DF,h=0.18 -R 0.02 -l Making your own tasks ===================== FCC clusters with 13 atoms -------------------------- Put this in :file:`m13.py`: .. literalinclude:: m13.py :language: python Then do this:: $ ase m13.py Pt -R 0.01 The relaxed EMT bondlength of 2.62 Ã… can be extracted from the created trajectory like this:: $ ag -tg "e,fmax,d(0,9)" Pt-m13-emt.traj 10.9824302706 2.27575724833 2.72 10.0805658256 1.45353946744 2.68 9.61654400875 0.447140179352 2.64 9.57510700742 0.0656434401881 2.6222281202 9.57424531861 0.00239771758341 2.62450316817 or like this: .. highlight:: python >>> from ase.io import read >>> pt = read('Pt-m13-emt.traj') >>> pt.get_distance(0, 9) 2.6245031681662452 Convergence test ---------------- See `convergence.py`_. .. _convergence.py: https://trac.fysik.dtu.dk/projects/gpaw/browser/trunk/gpaw/ tasks/convergence.py To be done ========== * Optimize c/a ratio. * Implement different way of cell sampling for eos: [a0 + s for s in [x * np.array(range(- N/2 + 1, N/2 + 1))]] where x is sampling step length, N number of steps. Current way of sampling gives different length of sampling interval depending on the lattice constant guess a0. * Write results to file (pickel, csv, cmr (db), traj, ...) per system, together with json file! * Split off EnergyTask from Task. * Set correct magnetic moments for atoms. DONE * Allow setting charges in ase.tasks.task * Check occupation numbers and requested total magnetic moments for molecules/atoms. DONE * Add --exclude option. * Relax cell. * Optimize first then fit. * Behavior of -w option? * Reaction task? * Rethink analysis and summary stuff: * it would be nice to calculate for example cohesive energies on the command line, i.e. using species belonging to different tasks * analysis should be more modular: one may want for example to calculate zpe energies for adsorption systems including molecules and surfaces and print the zpe correction for a given reaction. * ase.tasks.main - print complete architecture string in case of error (like in ase/test/__init__.py) �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/phonons.rst�����������������������������������������������������������0000644�0001754�0001754�00000005650�11670374336�016753� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: phonons Phonon calculations ------------------- Module for calculating vibrational normal modes for periodic systems using the so-called small displacement method (see e.g. [Alfe]_). So far, space-group symmetries are not exploited to reduce the number of atomic displacements that must be calculated and subsequent symmetrization of the force constants. For polar materials the dynamical matrix at the zone center acquires a non-analytical contribution that accounts for the LO-TO splitting. This contribution requires additional functionality to evaluate and is not included in the present implementation. Its implementation in conjunction with the small displacement method is described in [Wang]_. Example ------- Simple example showing how to calculate the phonon dispersion for bulk aluminum using a 7x7x7 supercell within effective medium theory:: from ase.structure import bulk from ase.calculators.emt import EMT from ase.dft.kpoints import ibz_points, get_bandpath from ase.phonons import Phonons # Setup crystal and EMT calculator atoms = bulk('Al', 'fcc', a=4.05) calc = EMT() # Phonon calculator N = 7 ph = Phonons(atoms, calc, supercell=(N, N, N), delta=0.05) ph.run() # Read forces and assemble the dynamical matrix ph.read(acoustic=True) # High-symmetry points in the Brillouin zone points = ibz_points['fcc'] G = points['Gamma'] X = points['X'] W = points['W'] K = points['K'] L = points['L'] U = points['U'] point_names = ['$\Gamma$', 'X', 'U', 'L', '$\Gamma$', 'K'] path = [G, X, U, L, G, K] # Band structure in meV path_kc, q, Q = get_bandpath(path, atoms.cell, 100) omega_kn = 1000 * ph.band_structure(path_kc) # Calculate phonon DOS omega_e, dos_e = ph.dos(kpts=(50, 50, 50), npts=5000, delta=5e-4) omega_e *= 1000 # Plot the band structure and DOS import pylab as plt plt.figure(1, (8, 6)) plt.axes([.1, .07, .67, .85]) for n in range(len(omega_kn[0])): omega_n = omega_kn[:, n] plt.plot(q, omega_n, 'k-', lw=2) plt.xticks(Q, point_names, fontsize=18) plt.yticks(fontsize=18) plt.xlim(q[0], q[-1]) plt.ylabel("Frequency ($\mathrm{meV}$)", fontsize=22) plt.grid('on') plt.axes([.8, .07, .17, .85]) plt.fill_between(dos_e, omega_e, y2=0, color='lightgrey', edgecolor='k', lw=1) plt.ylim(0, 35) plt.xticks([], []) plt.yticks([], []) plt.xlabel("DOS", fontsize=18) plt.show() .. image:: Al_phonon.png Mode inspection using ag:: # Write modes for specific q-vector to trajectory files ph.write_modes([l/2 for l in L], branches=[2], repeat=(8, 8, 8), kT=3e-4) .. image:: Al_mode.* .. [Alfe] D. Alfe, PHON: A program to calculate phonons using the small displacement method, Comput. Phys. Commun. 180, 2622 (2009) .. [Wang] Y. Wang *et al.*, A mixed-space approach to first-principles calculations of phonon frequencies for polar materials, J. Phys.: Cond. Matter 22, 202201 (2010)����������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/setup-overview.rst����������������������������������������������������0000644�0001754�0001754�00000004045�11343670703�020262� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������========================== Creating atomic structures ========================== .. toctree:: :maxdepth: 2 structure surface lattice molecules ASE contains a number of modules for setting up atomic structures, mainly molecules, bulk crystals and surfaces. Some of these modules have overlapping functionality, but strike a different balance between flexibility and ease-of-use. **Common bulk crystals** The :func:`ase.structure.bulk` function can be used to create the most common bulk crystal structures. The function creates a single unit cell oriented such that the number of atoms in the cell is minimal. Read more: :ref:`bulk-crystal-section`. **Common surfaces** The :mod:`lattice.surface` module contains a number of functions for creating the most common surfaces in a minimal unit cell, and for adding adsorbates to these surfaces. Read more: :ref:`lattice-surface-section`. **Nanotubes and nanoribbons** The functions :func:`ase.structure.nanotube` and :func:`ase.structure.graphene_nanoribbon` can be used to create Carbon nanotubes and graphene sheets or nanoribbons. Per default, they create Carbon nanotubes and sheets, but other elements can be used. Read more: :ref:`nanotubes-section` and :ref:`nanoribbons-section`. **Generally oriented bulk crystals and surfaces** The :mod:`lattice` module contains functions for creating most common crystal structures with arbitrary orientation. The user can specify the desired Miller index along the three axes of the simulation, and the smallest periodic structure fulfilling this specification is created. Thirteen of the 14 Bravais lattices are supported by the module, as are a few lattices with a basis, and lattices for some of the most common compounds/alloys. The modules makes it possible to define further lattices based on the supported Bravais lattices. Both bulk crystals and surfaces can be created. Read more: :ref:`general-crystal-section`. **Molecules** Some common molecules are available in the :mod:`~data.molecules` module. Read more: :ref:`molecules-section`. �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/phonons.py������������������������������������������������������������0000644�0001754�0001754�00000004431�11670374336�016567� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������# creates: Al_phonon.png Al_mode.gif Al_mode.pdf from ase.lattice import bulk from ase.calculators.emt import EMT from ase.dft.kpoints import ibz_points, get_bandpath from ase.phonons import Phonons # Setup crystal and EMT calculator atoms = bulk('Al', a=4.05) calc = EMT() # Phonon calculator N = 6 ph = Phonons(atoms, calc, supercell=(N, N, N)) ph.run() # Read forces and assemble the dynamical matrix ph.read(acoustic=True) # High-symmetry points in the Brillouin zone points = ibz_points['fcc'] G = points['Gamma'] X = points['X'] W = points['W'] K = points['K'] L = points['L'] U = points['U'] point_names = ['$\Gamma$', 'X', 'U', 'L', '$\Gamma$', 'K'] path = [G, X, U, L, G, K] path_kc, q, Q = get_bandpath(path, atoms.cell, 100) omega_kn = 1000 * ph.band_structure(path_kc) # DOS omega_e, dos_e = ph.dos(kpts=(50, 50, 50), npts=5000, delta=1e-4) omega_e *= 1000 # Plot phonon dispersion import matplotlib matplotlib.use('Agg') import pylab as plt plt.figure(1, (8, 6)) plt.axes([.1, .07, .67, .85]) for n in range(len(omega_kn[0])): omega_n = omega_kn[:, n] plt.plot(q, omega_n, 'k-', lw=2) plt.xticks(Q, point_names, fontsize=18) plt.yticks(fontsize=18) plt.xlim(q[0], q[-1]) plt.ylim(0, 35) plt.ylabel("Frequency ($\mathrm{meV}$)", fontsize=22) plt.grid('on') plt.axes([.8, .07, .17, .85]) plt.fill_between(dos_e, omega_e, y2=0, color='lightgrey', edgecolor='k', lw=2) plt.ylim(0, 35) plt.xticks([], []) plt.yticks([], []) plt.xlabel("DOS", fontsize=18) plt.savefig('Al_phonon.png') # Write modes for specific q-vector to trajectory files ph.write_modes([l/2 for l in L], branches=[2], repeat=(8, 8, 8), kT=3e-4, center=True) # Generate png animation from subprocess import call from ase.io import PickleTrajectory, write trajfile = 'phonon.mode.2.traj' trajectory = PickleTrajectory(trajfile, 'r') for i, atoms in enumerate(trajectory): write('picture%02i.png' %i, atoms, show_unit_cell=2, rotation='-36x,26.5y,-25z') # Flatten images for better quality call(['convert', '-flatten', 'picture%02i.png' %i, 'picture%02i.png' %i]) # Make static pdf image for pdflatex call(['convert', 'picture00.png', 'Al_mode.pdf']) # Concatenate to gif animation call(['convert', '-delay', '5', '-loop', '0', '-dispose', 'Previous', 'picture*.png', 'Al_mode.gif']) ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/structure.py����������������������������������������������������������0000644�0001754�0001754�00000002353�11473413375�017142� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������# creates: a1.png a2.png a3.png cnt1.png cnt2.png gnr1.png gnr2.png from ase.io import write from ase.structure import bulk, nanotube, graphene_nanoribbon import numpy as np for i, a in enumerate([ bulk('Cu', 'fcc', a=3.6), bulk('Cu', 'fcc', a=3.6, orthorhombic=True), bulk('Cu', 'fcc', a=3.6, cubic=True)]): write('a%d.pov' % (i + 1), a, show_unit_cell=2, display=False, run_povray=True) cnt1 = nanotube(6, 0, length=4) cnt1.rotate('x', 'z', rotate_cell=True) cnt2 = nanotube(3, 3, length=6, bond=1.4, symbol='Si') cnt2.rotate('x', 'z', rotate_cell=True) for i, a in enumerate([cnt1, cnt2]): write('cnt%d.pov' % (i + 1), a, show_unit_cell=2, display=False, run_povray=True) ind = [2, 0, 1] gnr1 = graphene_nanoribbon(3, 4, type='armchair') gnr1.set_cell(np.diag(gnr1.cell)[ind]) gnr1.positions = gnr1.positions[:, ind] gnr2 = graphene_nanoribbon(2, 6, type='zigzag', saturated=True, C_H=1.1, C_C=1.4, vacuum=3.0, magnetic=True, initial_mag=1.12) gnr2.set_cell(np.diag(gnr2.cell)[ind]) gnr2.positions = gnr2.positions[:, ind] for i, a in enumerate([gnr1, gnr2]): write('gnr%d.pov' % (i + 1), a, show_unit_cell=2, display=False, run_povray=True) �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/parallel.rst����������������������������������������������������������0000644�0001754�0001754�00000000251�11403165723�017043� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: parallel ===================== Parallel calculations ===================== .. autofunction:: ase.parallel.paropen .. autofunction:: ase.parallel.parprint �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/atoms.rst�������������������������������������������������������������0000644�0001754�0001754�00000023755�11607334404�016410� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: atoms ================ The Atoms object ================ The :class:`~ase.atoms.Atoms` object is a collection of atoms. Here is how to define a CO molecule:: from ase import * d = 1.1 co = Atoms('CO', positions=[(0, 0, 0), (0, 0, d)]) Here, the first argument specifies the type of the atoms and we used the ``positions`` keywords to specify their positions. Other possible keywords are: ``numbers``, ``tags``, ``momenta``, ``masses``, ``magmoms`` and ``charges``. Here is how you could make an infinite gold wire with a bond length of 2.9 Ã…:: from ase import * d = 2.9 L = 10.0 wire = Atoms('Au', positions=[(0, L / 2, L / 2)], cell=(d, L, L), pbc=(1, 0, 0)) .. image:: Au-wire.png Here, two more optional keyword arguments were used: ``cell``: Unit cell size This can be a sequence of three numbers for an orthorhombic unit cell or three by three numbers for a general unit cell (a sequence of three sequences of three numbers). The default value is *[1.0, 1.0, 1.0]*. ``pbc``: Periodic boundary conditions The default value is *False* - a value of *True* would give periodic boundary conditions along all three axes. It is possible to give a sequence of three booleans to specify periodicity along specific axes. You can also use the following methods to work with the unit cell and the boundary conditions: :meth:`~ase.atoms.Atoms.set_pbc`, :meth:`~ase.atoms.Atoms.set_cell`, :meth:`~ase.atoms.Atoms.get_cell`, and :meth:`~ase.atoms.Atoms.get_pbc`. Working with the array methods of Atoms objects =============================================== Like with a single :class:`~atom.Atom` the properties of a collection of atoms can be accessed and changed with get- and set-methods. For example the positions of the atoms can be addressed as >>> a = Atoms('N3', [(0, 0, 0), (1, 0, 0), (0, 0, 1)]) >>> a.get_positions() array([[ 0., 0., 0.], [ 1., 0., 0.], [ 0., 0., 1.]]) >>> a.set_positions([(2, 0, 0), (0, 2, 2), (2, 2, 0)]) >>> a.get_positions() array([[ 2., 0., 0.], [ 0., 2., 2.], [ 2., 2., 0.]]) Here is the full list of the get/set methods operating on all the atoms at once. The get methods return an array of quantities, one for each atom; the set methods take similar arrays. E.g. :meth:`~ase.atoms.Atoms.get_positions` return N * 3 numbers, :meth:`~ase.atoms.Atoms.get_atomic_numbers` return N integers. *These methods return copies of the internal arrays, it is thus safe to modify the returned arrays.* .. list-table:: * - :meth:`~ase.atoms.Atoms.get_atomic_numbers` - :meth:`~ase.atoms.Atoms.set_atomic_numbers` * - :meth:`~ase.atoms.Atoms.get_charges` - :meth:`~ase.atoms.Atoms.set_charges` * - :meth:`~ase.atoms.Atoms.get_chemical_symbols` - :meth:`~ase.atoms.Atoms.set_chemical_symbols` * - :meth:`~ase.atoms.Atoms.get_initial_magnetic_moments` - :meth:`~ase.atoms.Atoms.set_initial_magnetic_moments` * - :meth:`~ase.atoms.Atoms.get_magnetic_moments` - * - :meth:`~ase.atoms.Atoms.get_masses` - :meth:`~ase.atoms.Atoms.set_masses` * - :meth:`~ase.atoms.Atoms.get_momenta` - :meth:`~ase.atoms.Atoms.set_momenta` * - :meth:`~ase.atoms.Atoms.get_forces` - * - :meth:`~ase.atoms.Atoms.get_positions` - :meth:`~ase.atoms.Atoms.set_positions` * - :meth:`~ase.atoms.Atoms.get_potential_energies` - * - :meth:`~ase.atoms.Atoms.get_scaled_positions` - :meth:`~ase.atoms.Atoms.set_scaled_positions` * - :meth:`~ase.atoms.Atoms.get_stresses` - * - :meth:`~ase.atoms.Atoms.get_tags` - :meth:`~ase.atoms.Atoms.set_tags` * - :meth:`~ase.atoms.Atoms.get_velocities` - :meth:`~ase.atoms.Atoms.set_velocities` There are also a number of get/set methods that operate on quantities common to all the atoms or defined for the collection of atoms: .. list-table:: * - :meth:`~ase.atoms.Atoms.get_calculator` - :meth:`~ase.atoms.Atoms.set_calculator` * - :meth:`~ase.atoms.Atoms.get_cell` - :meth:`~ase.atoms.Atoms.set_cell` * - :meth:`~ase.atoms.Atoms.get_center_of_mass` - * - :meth:`~ase.atoms.Atoms.get_kinetic_energy` - * - :meth:`~ase.atoms.Atoms.get_magnetic_moment` - * - :meth:`~ase.atoms.Atoms.get_name` - * - :meth:`~ase.atoms.Atoms.get_number_of_atoms` - * - :meth:`~ase.atoms.Atoms.get_pbc` - :meth:`~ase.atoms.Atoms.set_pbc` * - :meth:`~ase.atoms.Atoms.get_potential_energy` - * - :meth:`~ase.atoms.Atoms.get_stress` - * - :meth:`~ase.atoms.Atoms.get_total_energy` - * - :meth:`~ase.atoms.Atoms.get_volume` - Unit cell and boundary conditions ================================= The :class:`~ase.atoms.Atoms` object holds a unit cell which by default is the 3x3 unit matrix as can be seen from >>> a.get_cell() array([[ 1., 0., 0.], [ 0., 1., 0.], [ 0., 0., 1.]]) The cell can be defined or changed using the :meth:`~ase.atoms.Atoms.set_cell` method. Changing the unit cell does per default not move the atoms: >>> a.set_cell(2 * identity(3)) >>> a.get_cell() array([[ 2., 0., 0.], [ 0., 2., 0.], [ 0., 0., 2.]]) >>> a.get_positions() array([[ 2., 0., 0.], [ 1., 1., 0.], [ 2., 2., 0.]]) However if we set ``scale_atoms=True`` the atomic positions are scaled with the unit cell: >>> a.set_cell(identity(3), scale_atoms=True) >>> a.get_positions() array([[ 1. , 0. , 0. ], [ 0.5, 0.5, 0. ], [ 1. , 1. , 0. ]]) The :meth:`~ase.atoms.Atoms.set_pbc` method specifies whether periodic boundary conditions are to be used in the directions of the three vectors of the unit cell. A slab calculation with periodic boundary conditions in *x* and *y* directions and free boundary conditions in the *z* direction is obtained through >>> a.set_pbc((True, True, False)) Special attributes ================== It is also possible to work directly with the attributes :attr:`~ase.atoms.Atoms.positions`, :attr:`~ase.atoms.Atoms.numbers`, :attr:`~ase.atoms.Atoms.pbc` and :attr:`~ase.atoms.Atoms.cell`. Here we change the position of the 2nd atom (which has count number 1 because Python starts counting at zero) and the type of the first atom: >>> a.positions[1] = (1, 1, 0) >>> a.get_positions() array([[2., 0., 0.], [1., 1., 0.], [2., 2., 0.]]) >>> a.positions array([[2., 0., 0.], [1., 1., 0.], [2., 2., 0.]]) >>> a.numbers array([7, 7, 7]) >>> a.numbers[0] = 13 >>> a.get_chemical_symbols() ['Al', 'N', 'N'] Check for periodic boundary conditions: >>> a.pbc # equivalent to a.get_pbc() array([False, False, False], dtype=bool) >>> a.pbc.any() False >>> a.pbc[2] = 1 >>> a.pbc array([False, False, True], dtype=bool) Adding a calculator =================== A calculator can be attached to the atoms with the purpose of calculating energies and forces on the atoms. ASE works with many different :mod:`calculators`. A calculator object *calc* is attached to the atoms like this: >>> a.set_calculator(calc) After the calculator has been appropriately setup the energy of the atoms can be obtained through >>> a.get_potential_energy() The term "potential energy" here means for example the total energy of a DFT calculation, which includes both kinetic, electrostatic, and exchange-correlation energy for the electrons. The reason it is called potential energy is that the atoms might also have a kinetic energy (from the moving nuclei) and that is obtained with >>> a.get_kinetic_energy() In case of a DFT calculator, it is up to the user to check exactly what the :meth:`~ase.atoms.Atoms.get_potential_energy` method returns. For example it may be the result of a calculation with a finite temperature smearing of the occupation numbers extrapolated to zero temperature. More about this can be found for the different :mod:`calculators`. The following methods can only be called if a calculator is present: * :meth:`~ase.atoms.Atoms.get_potential_energy` * :meth:`~ase.atoms.Atoms.get_potential_energies` * :meth:`~ase.atoms.Atoms.get_forces` * :meth:`~ase.atoms.Atoms.get_stress` * :meth:`~ase.atoms.Atoms.get_stresses` * :meth:`~ase.atoms.Atoms.get_total_energy` * :meth:`~ase.atoms.Atoms.get_magnetic_moments` * :meth:`~ase.atoms.Atoms.get_magnetic_moment` Not all of these methods are supported by all calculators. List-methods ============ .. list-table:: * - method - example * - ``+`` - ``wire2 = wire + co`` * - ``+=``, :meth:`~ase.atoms.Atoms.extend` - ``wire += co`` ``wire.extend(co)`` * - :meth:`~ase.atoms.Atoms.append` - ``wire.append(Atom('H'))`` * - ``*`` - ``wire3 = wire * (3, 1, 1)`` * - ``*=``, :meth:`~ase.atoms.Atoms.repeat` - ``wire *= (3, 1, 1)`` ``wire.repeat((3, 1, 1))`` * - ``len`` - ``len(co)`` * - ``del`` - ``del wire3[0]`` ``del wire3[[1,3]]`` * - :meth:`~ase.atoms.Atoms.pop` - ``oxygen = wire2.pop()`` Note that the ``del`` method can be used with the more powerful numpy-style indexing, as in the second example above. This can be combined with python list comprehension in order to selectively delete atoms within an ASE Atoms object. For example, the below code creates an ethanol molecule and subsequently strips all the hydrogen atoms from it:: from ase.data.molecules import molecule atoms = molecule('CH3CH2OH') del atoms[[atom.index for atom in atoms if atom.symbol=='H']] Other methods ============= * :meth:`~ase.atoms.Atoms.center` * :meth:`~ase.atoms.Atoms.translate` * :meth:`~ase.atoms.Atoms.rotate` * :meth:`~ase.atoms.Atoms.rotate_euler` * :meth:`~ase.atoms.Atoms.get_dihedral` * :meth:`~ase.atoms.Atoms.set_dihedral` * :meth:`~ase.atoms.Atoms.rotate_dihedral` * :meth:`~ase.atoms.Atoms.rattle` * :meth:`~ase.atoms.Atoms.set_constraint` * :meth:`~ase.atoms.Atoms.set_distance` * :meth:`~ase.atoms.Atoms.copy` * :meth:`~ase.atoms.Atoms.get_center_of_mass` * :meth:`~ase.atoms.Atoms.get_distance` * :meth:`~ase.atoms.Atoms.get_volume` * :meth:`~ase.atoms.Atoms.has` * :meth:`~ase.atoms.Atoms.edit` * :meth:`~ase.atoms.Atoms.identical_to` List of all Methods =================== .. autoclass:: ase.atoms.Atoms :members: �������������������python-ase-3.6.0.2515/doc/ase/m13.py����������������������������������������������������������������0000644�0001754�0001754�00000001024�11647035022�015464� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������from math import sqrt from ase.cluster.cubic import FaceCenteredCubic from ase.tasks.molecule import MoleculeTask from ase.data import covalent_radii, atomic_numbers class M13Task(MoleculeTask): taskname = 'm13' def build_system(self, name): if self.bond_length is None: b = 2 * covalent_radii[atomic_numbers[name]] else: b = self.bond_length return FaceCenteredCubic(name, [(1, 0, 0)], [1], latticeconstant=b * sqrt(2)) task = M13Task() ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/atoms.py��������������������������������������������������������������0000644�0001754�0001754�00000000657�11410136606�016220� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������# creates: Au-wire.png from ase import Atoms from ase.io import write d = 2.9 L = 10.0 wire = Atoms('Au', positions=[(0, L / 2, L / 2)], cell=(d, L, L), pbc=(1, 0, 0)) wire *= (6, 1, 1) wire.positions[:, 0] -= 2 * d wire.cell[0, 0] = d #view(wire, block=1) write('Au-wire.pov', wire, show_unit_cell=2, rotation='12x,6y', transparent=False, display=False, run_povray=True) ���������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/����������������������������������������������������������0000755�0001754�0001754�00000000000�11757245034�017041� 5����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/exciting.rst����������������������������������������������0000644�0001754�0001754�00000004510�11304727242�021377� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: exciting ======== exciting ======== .. image:: ../../_static/exciting.png Introduction ============ ``exciting`` is a full-potential *all-electron* density-functional-theory (:term:`DFT`) package based on the linearized augmented planewave (:term:`LAPW`) method. It can be applied to all kinds of materials, irrespective of the atomic species involved, and also allows for the investigation of the core region. The website is http://exciting-code.org/ The module depends on lxml http://codespeak.net/lxml/ Exciting Calculator Class ========================= .. autoclass:: ase.calculators.exciting.Exciting There are two ways to construct the exciting calculator. Constructor Keywords -------------------- One is by giving parameters of the ground state in the constructor. The possible attributes can be found at http://exciting-code.org/input-reference#groundstate. .. class:: Exciting(bin='excitingser', kpts=(4, 4, 4), xctype='GGArevPBE') XSLT Template ------------- The other way is to use an XSLT template .. class:: Exciting( template='template.xsl' , bin='excitingser') The template may look like: .. highlight:: xml :: created from template .. highlight:: python Current Limitations =================== The calculator supports only total energy and forces no stress strain implemented in exciting yet. However it is planned to be implemented soon. http://exciting-code.org/current-developments. The keywords on the constructor are converted into attributes of the ``groundstate`` element. No check is done there and not all options are accessible in that way. By using the template one can exceed this limitation. ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/turbomole_ex3_restart_diffuse_usingNEB.py�����������������0000755�0001754�0001754�00000000765�11614020605�027203� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������#!/usr/bin/env python import os from ase.io import read from ase.neb import NEB from ase.calculators.turbomole import Turbomole from ase.optimize import BFGS initial = read('initial.coord') final = read('final.coord') os.system('rm -f coord; cp initial.coord coord') #restart configs = read('neb.traj@-5:') band = NEB(configs, climb=True) #Set calculators for config in configs: config.set_calculator(Turbomole()) # Optimize: relax = BFGS(band, trajectory='neb.traj') relax.run(fmax=0.05) �����������python-ase-3.6.0.2515/doc/ase/calculators/Si_abinit.py����������������������������������������������0000644�0001754�0001754�00000000757�11631700173�021314� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������from ase import * from ase.calculators.abinit import Abinit a0 = 5.43 bulk = Atoms('Si2', [(0, 0, 0), (0.25, 0.25, 0.25)], pbc=True) b = a0 / 2 bulk.set_cell([(0, b, b), (b, 0, b), (b, b, 0)], scale_atoms=True) calc = Abinit(label='Si', nbands=8, xc='PBE', ecut=50 * Ry, mix=0.01, kpts=[10, 10, 10]) bulk.set_calculator(calc) e = bulk.get_potential_energy() �����������������python-ase-3.6.0.2515/doc/ase/calculators/castep.rst������������������������������������������������0000644�0001754�0001754�00000000423�11614476545�021056� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: castep ======== CASTEP ======== .. include:: ../../../ase/calculators/castep.py :encoding: utf-8 :start-after: CASTEP Interface Documentation :end-before: End CASTEP Interface Documentation Example: ======== .. literalinclude:: ase_castep_demo.py ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/dftb_ex2_relax.py�����������������������������������������0000644�0001754�0001754�00000000471�11410141635�022271� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������#!/usr/bin/python from ase.io import read, write from ase.calculators.dftb import Dftb from ase.optimize import QuasiNewton system = read('h2o_1.xyz') system.set_calculator(Dftb(label='dftb',write_dftb=False)) qn = QuasiNewton(system) qn.run(fmax=0.005) write('final.xyz', system) write('final.traj', system) �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/siesta.rst������������������������������������������������0000644�0001754�0001754�00000016540�11271522254�021062� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: siesta ====== SIESTA ====== Introduction ============ SIESTA_ is a density-functional theory code for very large systems based on atomic orbital (LCAO) basis sets. .. _SIESTA: http://www.uam.es/siesta/ Environment variables ===================== You need to write a script called :file:`run_siesta.py` containing something like this:: import os siesta = 'siesta_2.0' exitcode = os.system('%s < %s.fdf > %s.txt' % (siesta, label, label)) The environment variable :envvar:`SIESTA_SCRIPT` must point to that file. A directory containing the pseudopotential files :file:`.vps` is also needed, and it is to be put in the environment variable :envvar:`SIESTA_PP_PATH`. Set both environment variables in your shell configuration file: .. highlight:: bash :: $ export SIESTA_SCRIPT=$HOME/siesta/run_siesta.py $ export SIESTA_PP_PATH=$HOME/mypps .. highlight:: python SIESTA Calculator ================= The default parameters are very close to those that the SIESTA Fortran code uses. These are the exceptions: .. class:: Siesta(label='siesta', xc='LDA', pulay=5, mix=0.1) Here is a detailed list of all the keywords for the calculator: ============== ========= ============= ===================================== keyword type default value description ============== ========= ============= ===================================== ``kpts`` ``list`` ``[1,1,1]`` Monkhorst-Pack k-point sampling ``nbands`` ``int`` ``None`` Number of bands ``meshcutoff`` ``float`` ``None`` Mesh cut-off energy in eV ``basis`` ``str`` ``None`` Type of basis set ('sz', 'dz', 'szp', 'dzp') ``xc`` ``str`` ``'LDA'`` Exchange-correlation functional. ``pulay`` ``int`` ``5`` Number of old densities to use for Pulay mixing ``mix`` ``float`` ``0.1`` Pulay mixing weight ``width`` ``float`` ``None`` Fermi-distribution width in eV ``charge`` ``float`` ``None`` Total charge of the system ``label`` ``str`` ``'siesta'`` Name of the output file ============== ========= ============= ===================================== A value of ``None`` means that SIESTA's default value is used. Extra FDF parameters ==================== The SIESTA code reads the input parameters for any calculation from a :file:`.fdf` file. This means that you can set parameters by manually setting entries in this input :file:`.fdf` file. This is done by the syntax: >>> calc.set_fdf('name_of_the_entry', value) For example, the ``EnergyShift`` can be set using >>> calc.set_fdf('PAO.EnergyShift', 0.01 * Rydberg) The complete list of the FDF entries can be found in the official `SIESTA manual`_. .. _SIESTA manual: http://www.uam.es/departamentos/ciencias/fismateriac/siesta Customized basis-set ==================== Standard basis sets can be set by the keyword ``basis`` directly in the Siesta calculator object. If a customized basis is needed, it can be set as an FDF entry, as explained in the previous section. As an example, we generate a triple-zeta triple-polarized (TZTP) basis for Au. Since the valence states are 6s and 5d, we will have 3 zeta orbitals for l=0 and 3 for l=2 plus 3 polarization orbitals for l=1. The basis can be defined by >>> value = ["""Au 2 split 0.00 #label, num. of l-shells,type,charge >>> 0 3 P 3 #l,nzeta,'P'(opt):pol.functions,npolzeta >>> 0.00 0.00 0.00 #rc of basis functions for each zeta function >>> #0.00 => rc determined by PAO.EnergyShift >>> 2 3 #l,nzeta >>> 0.00 0.00 0.00"""] #rc >>> calc.set_fdf('PAO.Basis',value=value) The default basis set generation fails for Pt for some versions of Siesta. If this happens, you should specify the basis set manually. This is exemplified below. For Pt, using ``calc.set_fdf('PAO.EnergyShift', 0.1 * eV)`` is usually resonable, and a single-zeta polarized basis set can be specified by writing:: # Define SZP basis set for Pt calc.set_fdf('PAO.Basis', ["""\ Pt 2 # Species label, number of l-shells n=6 0 1 P # n, l, Nzeta, Polarization, NzetaPol 0. # 0.0 => default [6.982 \n 1.000] n=5 2 1 # n, l, zeta 0."""]) # 0.0 => default [5.172 \n 1.000] A double-zeta polarized basis set for Pt may be specified by:: # Define DZP basis set for Pt calc.set_fdf('PAO.Basis', ["""\ Pt 2 split 0.00 # Species label, number of l-shells n=6 0 2 P 1 # n, l, Nzeta, Polarization, NzetaPol 0.00 0.00 # 0.0 => default [6.982 5.935 \n 1.000 1.000] n=5 2 2 # n, l, zeta 0.00 0.00"""]) # 0.0 => default [5.172 3.060 \n 1.000 1.000] You can also reuse the basis set of a previous calculation, by copying the .ion files to the new location, and set the ``User.Basis`` tag to ``True``:: # Load basis from previous calc (*.ion files) calc.set_fdf('User.Basis', True) Warning: Specifying a basis set manually in any way will, for some obscure reason, make Siesta crash if you have ghost atoms! Pseudopotentials ================ Pseudopotential files in the ``.psf`` or ``.vps`` formats are needed. Pseudopotentials generated from the ABINIT code and converted to the SIESTA format are available in the `SIESTA`_ website . A database of user contributed pseudopotentials is also available there. You can also find an on-line pseudopotential generator_ from the OCTOPUS code. .. _generator: http://www.tddft.org/programs/octopus/wiki/index.php/Pseudopotentials Example ======= Here is an example of how to calculate the total energy for bulk Silicon, using a double-zeta basis generated by specifying a given energy-shift:: #!/usr/bin/env python from ase import * a0 = 5.43 bulk = Atoms('Si2', [(0, 0, 0), (0.25, 0.25, 0.25)], pbc=True) b = a0 / 2 bulk.set_cell([(0, b, b), (b, 0, b), (b, b, 0)], scale_atoms=True) calc = Siesta(label='Si', xc='PBE', meshcutoff=200 * Ry, basis='dz', mix=0.01, kpts=[10, 10, 10]) calc.set_fdf('PAO.EnergyShift', 0.01 * Ry) bulk.set_calculator(calc) e = bulk.get_potential_energy() Here, the only input information on the basis set is, that it should be double-zeta (``basis='dz'``) and that the confinement potential should result in an energy shift of 0.01 Rydberg (the ``PAO.EnergyShift`` fdf tag). Sometimes it can be necessary to specify more information on the basis set. For example, the default basis set generation fails for Pt for some versions of Siesta. To fix this, you *must* specify the basis set manually. Manual basis set specifications are described in `Customized basis-set`_. Restarting from an old Calculation ================================== If you want to rerun an old SIESTA calculation, made using the ASE interface or not, you can set the fdf tag ``UseSaveData`` to ``True``. This is equivalent to setting both ``DM.UseSaveDM`` and ``MD.UseSaveXV`` to True, i.e. it will reuse the the density matrix, and the atomic coordinates (and unit cell) of the previous calculation. Note that the Siesta jobname (the ``label`` keyword in the ASE interface) must be identical to the jobname of the old calculation. ����������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/INCAR_NaCl������������������������������������������������0000644�0001754�0001754�00000000171�11110760457�020506� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������INCAR created by Atomic Simulation Environment PREC = Accurate LREAL = .FALSE. ISPIN = 2 MAGMOM = 1*1.9280 1*0.7500 �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/dftb_in.hsd�����������������������������������������������0000755�0001754�0001754�00000001333�11410141635�021135� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������Geometry = { TypeNames = { "O" } TypesAndCoordinates [Angstrom] = { 1 0.00000000000000 0.00000000000000 0.00000000000000 1 0.00000000000000 0.00000000000000 1.10000000000000 } Periodic = No } Driver = ConjugateGradient { MovedAtoms = Range { 1 -1 } MaxForceComponent = 1.0e-4 MaxSteps = 0 OutputPrefix = o2 } Hamiltonian = DFTB { # DFTB Hamiltonian SCC = Yes # Use self consistent charges SCCTolerance = 1.0e-5 # Tolerance for charge consistence MaxSCCIterations = 1000 # Nr. of maximal SCC iterations Mixer = Broyden { # Broyden mixer for charge mixing MixingParameter = 0.2 # Mixing parameter } SlaterKosterFiles = Type2FileNames { # File names from two atom type names �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/emt.rst���������������������������������������������������0000644�0001754�0001754�00000001301�11647247201�020347� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: emt :synopsis: Effective Medium Theory ========================== Pure Python EMT calculator ========================== The EMT potential is included in the ASE package in order to have a simple calculator that can be used for quick demonstrations and tests. .. warning:: If you want to do a real application using EMT, you should used the *much* more efficient implementation in the ASAP_ calculator. .. class:: EMT() Right now, the only supported elements are: H, C, N, O, Al, Ni, Cu, Pd, Ag, Pt and Au. The EMT parameters for the metals are quite realistic for many purposes, whereas the H, C, N and O parameters are just for fun! .. _ASAP: http://wiki.fysik.dtu.dk/asap �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/abinit.rst������������������������������������������������0000644�0001754�0001754�00000007621�11631700173�021036� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: abinit ====== ABINIT ====== Introduction ============ ABINIT_ is a density-functional theory code based on pseudopotentials and a planewave basis. .. _ABINIT: http://www.abinit.org Environment variables ===================== **Note**: setting environment variables is necessary only if you configure your ABINIT/ASE environment from scratch. You need to write a script called :file:`abinit.py` containing something like this:: import os abinit = '/usr/bin/abinis' exitcode = os.system('%s < %s.files > %s.log' % (abinit, label, label)) The environment variable :envvar:`ABINIT_SCRIPT` must point to that file. A directory containing the pseudopotential files :file:`.fhi` is also needed, and it is to be put in the environment variable :envvar:`ABINIT_PP_PATH`. Set both environment variables in your in your shell configuration file: .. highlight:: bash :: $ export ABINIT_SCRIPT=$HOME/bin/abinit.py $ export ABINIT_PP_PATH=$HOME/mypps .. highlight:: python ABINIT Calculator ================= The default parameters are very close to those that the ABINIT Fortran code uses. These are the exceptions: .. class:: Abinit(label='abinit', xc='LDA', pulay=5, mix=0.1) Here is a detailed list of all the keywords for the calculator: ============== ========= ================ ===================================== keyword type default value description ============== ========= ================ ===================================== ``kpts`` ``list`` ``[1,1,1]`` Monkhorst-Pack k-point sampling ``nbands`` ``int`` ``None`` Number of band. May be omitted. ``nstep`` ``int`` ``None`` Number of self-consistent field STEPS. ``ecut`` ``float`` ``None`` Planewave cutoff energy in eV (default: None) ``xc`` ``str`` ``'LDA'`` Exchange-correlation functional. ``pulay`` ``int`` ``5`` Number of old densities to use for Pulay mixing ``mix`` ``float`` ``0.1`` Pulay mixing weight ``width`` ``float`` ``0.04 Ha`` Fermi-distribution width in eV (default: 0.04 Ha) ``charge`` ``float`` ``0`` Total charge of the system (default: 0) ``label`` ``str`` ``'abinit'`` Name of the output file ``toldfe`` ``float`` ``1.0e-6`` TOLerance on the DiFference of total Energy ============== ========= ================ ===================================== A value of ``None`` means that ABINIT's default value is used. **Warning**: abinit does not specify a default value for ``Planewave cutoff energy in eV`` - you need to set them as in the example at thei bottom of the page, otherwise calculation will fail. Calculations wihout k-points are not parallelized by default and will fail! To enable band paralellization specify ``Number of BanDs in a BLOCK`` (``nbdblock``) as `Extra parameters`_ - see ``_. Extra parameters ================ The ABINIT code reads the input parameters for any calculation from a :file:`.in` file and :file:`.files` file. This means that you can set parameters by manually setting entries in this input :file:`.in` file. This is done by the syntax: >>> calc.set_inp('name_of_the_entry', value) For example, the ``ndtset`` can be set using >>> calc.set_inp('ndtset', 2) The complete list of keywords can be found in the official `ABINIT manual`_. .. _ABINIT manual: http://www.abinit.org/Infos_v5.4/input_variables/keyhr.html Pseudopotentials ================ Pseudopotentials in the ABINIT format are available on the `pseudopotentials`_ website. A database of user contributed pseudopotentials is also available there. .. _pseudopotentials: http://www.abinit.org/Psps/?text=psps Example 1 ========= Here is an example of how to calculate the total energy for bulk Silicon: .. literalinclude:: Si_abinit.py ���������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/fleur.rst�������������������������������������������������0000644�0001754�0001754�00000006331�11332230514�020675� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: fleur ===== FLEUR ===== Introduction ============ FLEUR_ is a density-functional theory code which uses the full potential linearized augmented plane-wave (FLAPW) method. FLEUR_ can be applied to any element in the periodic table, and the code is well suited especially to surfaces and magnetic materials. .. _FLEUR: http://www.flapw.de Environment variables ===================== In order to use FLEUR through ASE, two environment variables have to be set. :envvar:`FLEUR_INPGEN` should point to the simple input generator of FLEUR, and :envvar:`FLEUR` to the actual executable. Note that FLEUR has different executables e.g. for cases with and without inversion symmetry, so the environment variable has to be set accordingly. As an example, the variables could be set like: .. highlight:: bash :: $ export FLEUR_INPGEN=$HOME/fleur/v25/inpgen.x $ export FLEUR=$HOME/fleur/v25/fleur.x .. highlight:: python or: .. highlight:: bash :: $ export FLEUR="mpirun -np 32 $HOME/fleur/v25/fleur.x" .. highlight:: python for parallel calculations. FLEUR Calculator ================ Currently, limited number of FLEUR parameters can be set via the ASE interface Below follows a list of supported parameters =============== ========= ============== ============================ keyword type default value description =============== ========= ============== ============================ ``xc`` ``str`` ``'LDA'`` XC-functional. Must be one of 'LDA', 'PBE', 'RPBE' ``kpts`` *seq* `\Gamma`-point **k**-point sampling ``convergence`` *dict* ``{'energy': Convergence criteria (meV) 0.0001}`` ``width`` ``float`` Width of Fermi smearing (eV) ``kmax`` ``float`` Plane-wave cut-off (a.u.) ``mixer`` *dict* Mixing parameters 'imix', 'alpha', and 'spinf' ``maxiter`` ``int`` 40 Maximum number of SCF steps ``maxrelax`` ``int`` 20 Maximum number of relaxation steps ``workdir`` ``str`` Current dir Working directory for the calculation =============== ========= ============== ============================ *seq*: A sequence of three ``int``'s. *dict*: A dictionary Spin-polarized calculation ========================== If the atoms object has non-zero magnetic moments, a spin-polarized calculation will be performed by default. Utility functions ================= As only a subset of FLEUR parameters can currently be specified through ASE interface, the interface defines some utility functions for cases where manual editing of the FLEUR input file ``inp`` is necessary. .. automethod:: ase.calculators.fleur.FLEUR.write_inp .. automethod:: ase.calculators.fleur.FLEUR.initialize_density .. automethod:: ase.calculators.fleur.FLEUR.calculate .. automethod:: ase.calculators.fleur.FLEUR.relax Examples ======== Lattice constant of fcc Ni .. literalinclude:: fcc_Ni_fleur.py See the :ref:`equation of states tutorial ` for analysis of the results. �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/H2O_aims.py�����������������������������������������������0000644�0001754�0001754�00000001443�11410141635�021002� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������from ase import Atoms from ase.visualize import view from ase.calculators.aims import Aims, AimsCube from ase.optimize import QuasiNewton water = Atoms('HOH', [(1,0,0), (0,0,0), (0,1,0)]) water_cube = AimsCube(points=(29,29,29), plots=('total_density','delta_density', 'eigenstate 5','eigenstate 6')) calc=Aims(xc='pbe', sc_accuracy_etot=1e-6, sc_accuracy_eev=1e-3, sc_accuracy_rho=1e-6, sc_accuracy_forces=1e-4, species_dir='/home/hanke/codes/fhi-aims/fhi-aims.workshop/species_defaults/light/', run_command='aims.workshop.serial.x', cubes=water_cube) water.set_calculator(calc) dynamics = QuasiNewton(water,trajectory='square_water.traj') dynamics.run(fmax=0.01) view(water) �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/mmtk.rst��������������������������������������������������0000644�0001754�0001754�00000000455�11041376330�020535� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: mmtk =========================== Molecular Modelling Toolkit =========================== .. class:: MMTK() .. warning:: ASE2 has an interface to MMTK, but ASE3 has not. There may be a problem with MMTK and numpy? Let us know if you need MMTK, and we will take a look at it. �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/jacapo.rst������������������������������������������������0000644�0001754�0001754�00000006231�11476710543�021032� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: jacapo :synopsis: ASE python interface for Dacapo ========================================================== Jacapo - ASE python interface for Dacapo ========================================================== Introduction ============ Jacapo_ is an ASE interface for Dacapo_ and fully compatible with ASE. It replaces the old Dacapo interface using Numeric python and ASE2. The code was originally developed by John Kitchin and detailed documentation as well as many examples are available online: http://gilgamesh.cheme.cmu.edu/doc/software/jacapo/index.html Jacapo is included as an optional calculator in ASE and small differences to the above documentation may occur. .. _Jacapo: http://gilgamesh.cheme.cmu.edu/doc/software/jacapo/index.html .. _Dacapo: http://wiki.fysik.dtu.dk/dacapo Jacapo Calculator ================= The Jacapo calculator is automatically installed with ase and can be imported using:: from ase.calculators.jacapo import * .. class:: Jacapo() Here is a list of available keywords to initialize the calculator: ============== ============ ===================================== keyword type description ============== ============ ===================================== ``nc`` ``str`` Output NetCDF file, or input file if nc already exists. ``outnc`` ``str`` Output file. By default equal to nc. ``atoms`` ``object`` ase atoms object ``pw`` ``float`` Planewave cutoff in eV ``dw`` ``float`` Density cutoff in eV ``xc`` ``str`` Exchange-correlation functional. One of ['PZ','VWN','PW91','PBE','RPBE','revPBE'] ``nbands`` ``int`` Number of bands ``ft`` ``float`` Fermi temperature ``kpts`` ``list`` K-point grid, e.g. kpts = (2,2,1) ``spinpol`` ``boolean`` Turn on/off spin-polarization ``fixmagmom`` ``str`` Magnetic moment of the unit cell ``symmetry`` ``boolean`` Turn on/off symmetry reduction ``stress`` ``boolean`` Turn on/off stress calculation ``dipole`` ``boolean`` Turn on/off dipole correction ``stay_alive`` ``boolean`` Turn on/off stay alive ``debug`` ``int`` Set debug level (0=off, 10=extreme) ============== ============ ===================================== Example ======= Here is an example of how to calculate the total energy of a CO molecule:: #!/usr/bin/env python from ase import * from ase.calculators.jacapo import * CO = data.molecules.molecule('CO') CO.set_cell([6,6,6]) CO.center() calc = Jacapo(nc='CO.nc', atoms=CO, pw=300, nbands=8) print CO.get_potential_energy() Restarting from an old Calculation ================================== With Jacapo it is very easy to restart an old calculation. All necessary information (including the constraints) is stored in the out.nc file. To continue for example a geometry optimization do something like this:: calc = Jacapo('old.nc',stay_alive=True) atoms = calc.get_atoms() dyn = QuasiNewton(atoms,logfile='qn.log') dyn.run(fmax=0.05) Note, that the stay_alive flag is not stored in the .nc file and must be set when the calculator instance is created. �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/turbomole.rst���������������������������������������������0000755�0001754�0001754�00000003530�11266011176�021600� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: turbomole ========= TURBOMOLE ========= Introduction ============ TURBOMOLE_ is a density-functional or Hartree Fock code using atom centered orbitals. This interface makes it possible to use TURBOMOLE_ as a calculator in ASE. .. _Turbomole: http://www.turbomole.com/ Environment variables ===================== Set environment variables in your configuration file: - bash:: $ TURBODIR=/my_disk/my_name/TURBOMOLE $ PATH=$PATH:$TURBODIR/scripts $ PATH=$PATH:$TURBODIR/bin/‘sysname‘ - csh/tcsh:: $ setenv TURBODIR /my_disk/my_name/TURBOMOLE $ set path=($path ${TURBODIR}/scripts) $ set path=($path ${TURBODIR}/bin/`sysname`) Turbomole Calculator ==================== All usual turbomole input files generated by Turbomole's define [coord, control, basis, (auxbasis), mos/alpha+beta] must be present in the current working directory. Turbomole files are updated during the ASE-run. Do not use internal coordinates, only cartesians are allowed. In the coord file one can fix atoms the turbomole way (writing a 'f' in the end of the line in the coord file). Ase-Turbomole uses turbomole programs 'ridft' and 'rdgrad' if keyword '$ricore' is present in the Turbomole's control file. Otherwise programs 'dscf' and 'grad' are used. Example1: Geometry Optimization =============================== .. literalinclude:: turbomole_ex1_relax.py Example2: Diffusion run using NEB ================================== .. literalinclude:: turbomole_ex2_diffuse_usingNEB.py Example3: Diffusion run using NEB, Restart old calculation ========================================================== .. literalinclude:: turbomole_ex3_restart_diffuse_usingNEB.py For developers: python files affected by the turbomole interface ================================================================ .. literalinclude:: turbomole_changes.txt ������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/ase_castep_demo.py����������������������������������������0000644�0001754�0001754�00000003671�11614476545�022542� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������#!/usr/bin/python """This simple demo calculates the total energy of CO molecules using once LDA and once PBE as xc-functional. Obviously some parts in this scripts are longer than necessary, but are shown to demonstrate some more features.""" import ase import ase.calculators.castep, ase.io.castep calc = ase.calculators.castep.Castep() directory = 'CASTEP_ASE_DEMO' # include interface settings in .param file calc._export_settings = True # reuse the same directory calc._directory = directory calc._rename_existing_dir = False calc._label = 'CO_LDA' # necessary for tasks with changing positions # such as GeometryOptimization or MolecularDynamics calc._set_atoms = True # Param settings calc.param.xc_functional = 'LDA' calc.param.cut_off_energy = 400 # Prevent CASTEP from writing *wvfn* files calc.param.num_dump_cycles = 0 # Cell settings calc.cell.kpoint_mp_grid = '1 1 1' calc.cell.fix_com = False calc.cell.fix_all_cell = True # Set and clear and reset settings (just for shows) calc.param.task = 'SinglePoint' # Reset to CASTEP default calc.param.task.clear() # all of the following are identical calc.param.task = 'GeometryOptimization' calc.task = 'GeometryOptimization' calc.TASK = 'GeometryOptimization' calc.Task = 'GeometryOptimization' # Prepare atoms mol = ase.atoms.Atoms('CO', [[0, 0, 0], [0, 0, 1.2]], cell=[10, 10, 10]) mol.set_calculator(calc) # Check for correct input if calc.dryrun_ok(): print('%s : %s ' % (mol.calc._label, mol.get_potential_energy())) else: print("Found error in input") print(calc._error) # Read all settings from previous calculation mol = ase.io.castep.read_seed('%s/CO_LDA' % directory) # Use the OTF pseudo-potential we have just generated mol.calc.set_pspot('OTF') # Change some settings mol.calc.param.xc_functional = 'PBE' # don't forget to set an appropriate label mol.calc._label = 'CO_PBE' # Recalculate the potential energy print('%s : %s ' % (mol.calc._label, mol.get_potential_energy())) �����������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/FHI-aims.rst����������������������������������������������0000644�0001754�0001754�00000014136�11364132063�021124� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: FHI-aims ======== FHI-aims ======== Introduction ============ FHI-aims_ is a all-electron full-potential density functional theory code using a numeric local orbital basis set. This interface provides all that should be required to run FHI-aims_ from within ASE. .. _FHI-aims: http://www.fhi-berlin.mpg.de/aims/ Running the Calculator ====================== The default initialization command for the FHI-aims calculator is .. class:: Aims(output_template = 'aims', track_output = False) In order to run a calculation, you have to ensure that at least the following ``str`` variables are specified, either in the initialization or as shell variables: =============== ==================================================== keyword description =============== ==================================================== ``run_command`` The full command required to run FHI-aims from a shell, including anything to do with an MPI wrapper script and the number of tasks. An alternative way to set this command is via the shell variable ``AIMS_COMMAND``, which is checked upon initialization and when starting a run. ``species_dir`` Directory where the species defaults are located that should be used. Can also be specified with the system variable ``AIMS_SPECIES_DIR``. ``xc`` The minimal physical specification: what kind of calculation should be done. =============== ==================================================== In addition, you might want to specify at least one of self-consistency accuracy commands (see below) in order to avoid an excessively long calculation. Two general options might come in useful to postprocess the output: =================== ==================================================== keyword description =================== ==================================================== ``output_template`` Base name for the output, in case the calculator is called multiple times within a single script. ``track_output`` ``True/False`` - if ``True`` all the output files will be kept, while the number of calls to the calculator is encoded in the output file name. =================== ==================================================== List of keywords ================ This is a non-exclusive list of keywords for the ``control.in`` file that can be addresses from within ASE. The meaning for these keywords is exactly the same as in FHI-aims, please refer to its manual for help on their use. One thing that should be mentioned is that keywords with more than one option have been implemented as lists, eg. ``k_grid=(12,12,12)`` or ``relativistic=('atomic_zora','scalar')``. In those cases, specifying a single string containing all the options is also possible. None of the keywords have any default within ASE,but do check the defaults set by FHI-aims. If there is a keyword that you would like to set and that is not yet implemented here, it is trivial to add to the first few lines of the aims calculator in the file ASE/ase/calculators/aims.py . Describing the basic physics of the system: ============================ ====== keyword type ============================ ====== ``xc`` str ``charge`` float ``spin`` str ``relativistic`` list ``use_dipole_correction`` bool ``vdw_correction_hirshfeld`` str ``k_grid`` list ============================ ====== Driving relaxations and molecular dynamics: ============================ ====== keyword type ============================ ====== ``relax_geometry`` list ``max_relaxation_steps`` int ``n_max_pulay`` int ``sc_iter_limit`` int ``restart_relaxations`` bool ``MD_run`` list ``MD_schedule`` list ``MD_segment`` list ============================ ====== Output options: ============================ ======== keyword type ============================ ======== ``output_level`` str ``output`` list ``cubes`` AimsCube ============================ ======== See below for a description of the volumetric cube file output interface AimsCube Keywords for accuracy settings: ============================ ====== keyword type ============================ ====== ``sc_accuracy_eev`` exp ``sc_accuracy_etot`` exp ``sc_accuracy_forces`` exp ``sc_accuracy_rho`` exp ``compute_forces`` bool ============================ ====== Keywords to adjust the SCF-cycle ============================ ====== keyword type ============================ ====== ``charge_mix_param`` float ``prec_mix_param`` float ``spin_mix_param`` float ``KS_method`` str ``restart`` str ``restart_read_only`` str ``restart_write_only`` srt ``preconditioner`` list ``mixer`` str ``empty_states`` int ``ini_linear_mixing`` int ``mixer_threshold`` list ``occupation_type`` list ============================ ====== Note:: Any argument can be changed after the initial construction of the calculator, simply by setting it with the method >>> calc.set( keyword=value ) Volumetric Data Output ====================== The class .. class:: AimsCube(origin=(0,0,0),edges=[(0.1,0.0,0.0),(0.0,0.1,0.0),(0.0,0.0,0.1)],points=(50,50,50),plots=None) describes an object that takes care of the volumetric output requests within FHI-aims. An object of this type can be attached to the main Aims() object as an option. The possible arguments for AimsCube are: ============================ ======== keyword type ============================ ======== ``origin`` list ``edges`` 3x3-array ``points`` list ``plots`` list ============================ ======== The possible values for the entry of plots are discussed in detail in the FHI-aims manual, see below for an example. Example ======= As an example, here is a possible setup to obtain the geometry of a water molecule: .. literalinclude:: H2O_aims.py ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/dftb_ex1_relax.py�����������������������������������������0000755�0001754�0001754�00000000755�11410141635�022300� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������#!/usr/bin/env python import os from ase import Atoms from ase.calculators.dftb import Dftb from ase.optimize import QuasiNewton from ase.io import write d = 1.10 test = Atoms('2O', positions=[(0., 0., 0.), (0., 0., d)]) test.set_pbc([False, False, False]) test.set_calculator(Dftb(label='o2',write_dftb=True,do_spin_polarized=True,unpaired_electrons=2.0,fermi_temperature=100.0,scc=True)) dyn = QuasiNewton(test, trajectory='test.traj') dyn.run(fmax=0.01) write('test.final.xyz', test) �������������������python-ase-3.6.0.2515/doc/ase/calculators/turbomole_ex2_diffuse_usingNEB.py�������������������������0000755�0001754�0001754�00000001250�11614020605�025424� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������#!/usr/bin/env python import os from ase.io import read from ase.neb import NEB from ase.calculators.turbomole import Turbomole from ase.optimize import BFGS initial = read('initial.coord') final = read('final.coord') os.system('rm -f coord; cp initial.coord coord') # Make a band consisting of 5 configs: configs = [initial] configs += [initial.copy() for i in range(3)] configs += [final] band = NEB(configs, climb=True) # Interpolate linearly the positions of the not-endpoint-configs: band.interpolate() #Set calculators for config in configs: config.set_calculator(Turbomole()) # Optimize the Path: relax = BFGS(band, trajectory='neb.traj') relax.run(fmax=0.05) ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/lammps.rst������������������������������������������������0000644�0001754�0001754�00000005262�11555511366�021071� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: lammps ====== LAMMPS ====== Introduction ============ LAMMPS_ (Large-scale Atomic/Molecular Massively Parallel Simulator) is a classical molecular dynamics code. "LAMMPS has potentials for soft materials (biomolecules, polymers) and solid-state materials (metals, semiconductors) and coarse-grained or mesoscopic systems. It can be used to model atoms or, more generically, as a parallel particle simulator at the atomic, meso, or continuum scale." .. _LAMMPS: http://lammps.sandia.gov Environment variables ===================== The environment variable :envvar:`LAMMPS_COMMAND` should contain the path to the lammps binary, or more generally, a command line possibly also including an MPI-launcher command. For example (in a Bourne-shell compatible environment): .. highlight:: bash :: $ export LAMMPS_COMMAND=/path/to/lmp_binary .. highlight:: python or possibly something similar to .. highlight:: bash :: $ export LAMMPS_COMMAND="/path/to/mpirun --np 4 lmp_binary" .. highlight:: python LAMMPS Calculator ================= The LAMMPS calculator first appeared in ASE version 3.5.0. At the time of the release of ASE 3.5.0, the LAMMPS calculator is still in a fairly early stage of development (if you are missing some feature, consider checking out the source code development tree or some more recent version of ASE). .. class:: LAMMPS(..., parameters={}, files=[], ...) Below follows a list with a selection of parameters ============== ========= ============== ============================= keyword type default value description ============== ========= ============== ============================= ``files`` ``list`` ``[]`` List of files needed by LAMMPS. Typically a list of potential files. ``parameters`` ``dict`` ``{}`` Dictionary with key-value pairs corresponding to commands and arguments. Command-argument pairs provided here will be used for overriding the the calculator defaults. ============== ========= ============== ============================= Example ======= A simple example. :: from ase import Atoms, Atom from ase.calculators.lammps import LAMMPS a = [6.5, 6.5, 7.7] d = 2.3608 NaCl = Atoms([Atom('Na', [0, 0, 0]), Atom('Cl', [0, 0, d])], cell=a, pbc=True) calc = LAMMPS() NaCl.set_calculator(calc) print NaCl.get_stress() ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/NaCl.py���������������������������������������������������0000644�0001754�0001754�00000000556�11410141635�020222� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������from ase import Atoms, Atom from ase.calculators.vasp import Vasp a = [6.5, 6.5, 7.7] d = 2.3608 NaCl = Atoms([Atom('Na', [0, 0, 0], magmom=1.928), Atom('Cl', [0, 0, d], magmom=0.75)], cell=a) calc = Vasp(prec = 'Accurate', xc = 'PBE', lreal = False) NaCl.set_calculator(calc) print NaCl.get_magnetic_moment() ��������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/turbomole_ex1_relax.py������������������������������������0000755�0001754�0001754�00000000611�11410141635�023360� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������#!/usr/bin/env python import os from ase.io import read,write from ase.optimize import QuasiNewton # Turbomole input coordinates must be in the file 'coord'. # The coordinates are updated to the file 'coord' during the minimization. test = read('coord') test.set_calculator(Turbomole()) dyn = QuasiNewton(test, trajectory='test.traj') dyn.run(fmax=0.01) write('coord.final.tmol', test) �����������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/calculators.rst�������������������������������������������0000644�0001754�0001754�00000012351�11647035022�022101� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: calculators :synopsis: Energy, force and stress calculators. =========== Calculators =========== For ASE, a calculator is a black box that can take atomic numbers and atomic positions from an :class:`~atoms.Atoms` object and calculate the energy and forces and sometimes also stresses. In order to calculate forces and energies, you need to attach a calculator object to your atoms object: >>> a = read('molecule.xyz') >>> e = a.get_potential_energy() Traceback (most recent call last): File "", line 1, in File "/home/jjmo/ase/ase/atoms.py", line 399, in get_potential_energy raise RuntimeError('Atoms object has no calculator.') RuntimeError: Atoms object has no calculator. >>> from ase.calculators import Abinit >>> calc = Abinit(...) >>> a.set_calculator(calc) >>> e = a.get_potential_energy() >>> print e -42.0 Here, we used the :meth:`~ase.atoms.Atoms.set_calculator` method to attach an instance of the :class:`~abinit.Abinit` class and then we asked for the energy. Alternatively, a calculator can be attached like this:: atoms = Atoms(..., calculator=Siesta()) .. _supported calculators: Supported calculators ===================== ================ =========================================== ============ Code Description Type ================ =========================================== ============ GPAW_ Grid-based real-space PAW code :term:`DFT`, :term:`HF` Asap_ Highly efficient EMT code (written in C++) :term:`EMT` :mod:`jacapo` ASE interface to Dacapo_, :term:`DFT` a planewave ultra-soft pseudopotential code Dacapo_ Old interface to Dacapo_. Requires :term:`DFT` Numeric python and ASE2. :mod:`emt` Effective Medium Theory calculator :term:`EMT` :mod:`abinit` A planewave pseudopotential code :term:`DFT` :mod:`siesta` LCAO pseudopotential code :term:`DFT` :mod:`dftb` DftbPlus_ DFT based tight binding :term:`DFT` :mod:`turbomole` Fast atom orbital code Turbomole_, :term:`DFT`, :term:`HF` :mod:`castep` Planewave pseodopotential code :term:`DFT`, :term:`HF` :mod:`vasp` Planewave PAW code :term:`DFT` :mod:`FHI-aims` Numeric Atomic Orbital, full potential code :term:`DFT`, :term:`HF` :mod:`exciting` Full Potential LAPW code :term:`DFT`, :term:`LAPW` :mod:`fleur` Full Potential LAPW code :term:`DFT`, :term:`LAPW` :mod:`lammps` Classical molecular dynamics code :mod:`mmtk` XXX Library for molecular simulations ================ =========================================== ============ .. _Asap: http://wiki.fysik.dtu.dk/asap .. _Dacapo: http://wiki.fysik.dtu.dk/dacapo .. _GPAW: http://wiki.fysik.dtu.dk/gpaw .. _DftbPlus: http://www.dftb-plus.info/ .. _Turbomole: http://www.turbomole.com/ The calculators can be divided in three groups: 1) GPAW, Asap, Dacapo have their own native ASE interfaces. 2) Jacapo, ABINIT, SIESTA, DftbPlus, TURBOMOLE, VASP, FLEUR, FHI-aims, LAMMPS and MMTK have Python wrappers in the ASE package, but the actual codes are not part of ASE. 3) EMT is a pure python implementation of the Effective Medium Theory potential and it is included in the ASE package. Documentation for group 2 and 3 calculators =========================================== .. toctree:: emt jacapo abinit siesta dftb turbomole vasp FHI-aims lammps mmtk exciting fleur castep Calculator interface ==================== All calculators must have the following interface: .. autoclass:: ase.calculators.interface.Calculator :members: Electronic structure calculators ================================ These calculators have wave functions, electron densities, eigenvalues and many other quantities. Therefore, it makes sense to have a set of standard methods for accessing those quantities: .. autoclass:: ase.calculators.interface.DFTCalculator :members: Building new calculators ======================== Adding an ASE interface to your favorite force-calculator can be very simple. Take a look at the Python wrapper we have in the ASE code for using the SIESTA_ code with ASE: :trac:`ase/calculators/siesta.py`. Here, a :class:`~siesta.Siesta` class is defined. An instance of this class will simply write the fdf input-file, start the SIESTA Fortran program, and finally read the energy, forces and stresses from the text output-file. .. _SIESTA: http://www.uam.es/departamentos/ciencias/fismateriac/siesta/ Building neighbor-lists ======================= The :class:`EMT` potential and the GPAW_ DFT calculator both make use of ASE's built-in neighbor-list class: .. autoclass:: ase.calculators.neighborlist.NeighborList :members: ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/vasp.rst��������������������������������������������������0000644�0001754�0001754�00000012526�11245717753�020556� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: vasp ==== VASP ==== Introduction ============ VASP_ is a density-functional theory code using pseudopotentials or the projector-augmented wave method and a plane wave basis set. This interface makes it possible to use VASP_ as a calculator in ASE, and also to use ASE as a post-processor for an already performed VASP_ calculation. .. _VASP: http://cms.mpi.univie.ac.at/vasp/ Environment variables ===================== You need to write a script called :file:`run_vasp.py` containing something like this:: import os exitcode = os.system('vasp') The environment variable :envvar:`VASP_SCRIPT` must point to that file. A directory containing the pseudopotential directories :file:`potpaw` (LDA XC) :file:`potpaw_GGA` (PW91 XC) and :file:`potpaw_PBE` (PBE XC) is also needed, and it is to be put in the environment variable :envvar:`VASP_PP_PATH`. Set both environment variables in your shell configuration file: .. highlight:: bash :: $ export VASP_SCRIPT=$HOME/vasp/run_vasp.py $ export VASP_PP_PATH=$HOME/vasp/mypps .. highlight:: python VASP Calculator =============== The default setting used by the VASP interface is .. class:: Vasp(restart=None, xc='PW91', setups=None, kpts=(1,1,1), gamma=None) Below follows a list with a selection of parameters ============== ========= ============== ============================ keyword type default value description ============== ========= ============== ============================ ``restart`` ``bool`` None Restart old calculation or use ASE for post-processing ``xc`` ``str`` ``'PW91'`` XC-functional ``setups`` ``str`` None Additional setup option ``kpts`` *seq* `\Gamma`-point **k**-point sampling ``gamma`` ``bool`` None `\Gamma`-point centered **k**-point sampling ``prec`` ``str`` Accuracy of calculation ``encut`` ``float`` Kinetic energy cutoff ``ediff`` ``float`` Convergence break condition for SC-loop. ``nbands`` ``int`` Number of bands ``algo`` ``str`` Electronic minimization algorithm ``ismear`` ``int`` Type of smearing ``sigma`` ``float`` Width of smearing ``nelm`` ``int`` Maximum number of SC-iterations ============== ========= ============== ============================ *seq*: A sequence of three ``int``'s. For parameters in the list without default value given, VASP will set the default value. Most of the parameters used in the VASP :file:`INCAR` file are allowed keywords. See the official `VASP manual`_ for more details. .. _VASP manual: http://cms.mpi.univie.ac.at/vasp/vasp/vasp.html .. note:: Parameters can be changed after the calculator has been constructed by using the :meth:`~ase.calculators.vasp.Vasp.set` method: >>> calc.set(prec='Accurate', ediff=1E-5) This would set the precision to Accurate and the break condition for the electronic SC-loop to ``1E-5`` eV. Spin-polarized calculation ========================== If the atoms object has non-zero magnetic moments, a spin-polarized calculation will be performed by default. Here follows an example how to calculate the total magnetic moment of a sodium chloride molecule. .. literalinclude:: NaCl.py In this example the initial magnetic moments are assigned to the atoms when defining the Atoms object. The calculator will detect that at least one of the atoms has a non-zero magnetic moment and a spin-polarized calculation will automatically be performed. The ASE generated :file:`INCAR` file will look like: .. literalinclude:: INCAR_NaCl .. note:: It is also possible to manually tell the calculator to perform a spin-polarized calculation: >>> calc.set(ispin=2) This can be useful for continuation jobs, where the initial magnetic moment is read from the WAVECAR file. Restart old calculation ======================= To continue an old calculation which has been performed without the interface use the ``restart`` parameter when constructing the calculator >>> calc = Vasp(restart=True) Then the calculator will read atomic positions from the :file:`CONTCAR` file, physical quantities from the :file:`OUTCAR` file, **k**-points from the :file:`KPOINTS` file and parameters from the :file:`INCAR` file. .. note:: Only Monkhorst-Pack and \Gamma-centered **k**-point sampling are supported for restart at the moment. Some :file:`INCAR` parameters may not be implemented for restart yet. Please report any problems to the ASE mailing list. The ``restart`` parameter can be used , as the name suggest to continue a job from where a previous calculation finished. Furthermore, it can be used to extract data from an already performed calculation. For example, to get the total potential energy of the sodium chloride molecule in the previous section, without performing any additional calculations, in the directory of the previous calculation do: >>> calc = Vasp(restart=True) >>> atoms = calc.get_atoms() >>> atoms.get_potential_energy() -4.7386889999999999 ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/fcc_Ni_fleur.py�������������������������������������������0000644�0001754�0001754�00000000742�11632077176�021776� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������from numpy import linspace from ase.calculators.fleur import FLEUR from ase.lattice import bulk from ase.io.trajectory import PickleTrajectory atoms = bulk('Ni', a=3.52) calc = FLEUR(xc='PBE', kmax=3.6, kpts=(10, 10, 10), workdir='lat_const') atoms.set_calculator(calc) traj = PickleTrajectory('Ni.traj','w', atoms) cell0 = atoms.get_cell() for s in linspace(0.95, 1.05, 7): cell = cell0 * s atoms.set_cell((cell)) ene = atoms.get_potential_energy() traj.write() ������������������������������python-ase-3.6.0.2515/doc/ase/calculators/h2o_1.xyz�������������������������������������������������0000755�0001754�0001754�00000000231�11344150171�020511� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������3 H2O O 0.00000 0.00000 0.00000 H 0.00000 0.00000 1.00000 H 1.00000 0.00000 0.00000 �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/turbomole_changes.txt�������������������������������������0000644�0001754�0001754�00000001435�11265305072�023276� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������ase: __init__.py new lines 17- from ase.calculators import LennardJones, \ EMT, ASAP, Siesta, Dacapo, Vasp, Turbomole ase/io: __init__.py new line 44 TURBOMOLE coord file (filename==='coord') new lines 145- if format == 'turbomole': from ase.io.turbomole import read_turbomole return read_turbomole(filename) new line 184 TURBOMOLE coord file turbomole new lines 267- elif format == 'tmol': from ase.io.turbomole import write_turbomole write_turbomole(filename, images) return new lines 349- if lines[0].startswith('$coord'): return 'turbomole' NEW FILE: ase/io/turbomole.py ase/calculators: __init__.py new line 10 from ase.calculators.turbomole import Turbomole NEW FILE: ase/calculators/turbomole.py �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/calculators/dftb.rst��������������������������������������������������0000755�0001754�0001754�00000007155�11356641410�020516� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: dftb ========= DftbPlus ========= Introduction ============ DftbPlus_ is a density-functional based tight-binding code using atom centered orbitals. This interface makes it possible to use DftbPlus_ as a calculator in ASE. You need to register at DftbPlus_ site to download the code. Additionally you need Slater-coster files for the combination of atom types of your system. These can be obtained at dftb.org_. .. _DftbPlus: http://www.dftb-plus.info/ .. _dftb.org: http://www.dftb.org/ Environment variables ===================== Set environment variables in your configuration file (what is the directory for the Slater-Koster files and what is the name of the executable): - bash:: $ DFTB_PREFIX=/my_disk/my_name/lib/Dftb+sk/mio-0-1/ (an example) $ DFTB_COMMAND=~/bin/DFTB+/dftb+_s081217.i686-linux (an example) - csh/tcsh:: $ setenv DFTB_PREFIX /my_disk/my_name/lib/Dftb+sk/mio-0-1/ (an example) $ setenv DFTB_COMMAND ~/bin/DFTB+/dftb+_s081217.i686-linux (an example) DftbPlus Calculator ==================== This is a preliminary version of the DftbPlus calculator, so all the DftbPlus features are unfortunately not there. Use write_dftb=False to use your own 'dftb_in.hsd'-file with all the flavours you need. In that case ase only updates the coordinates of the system, otherwise file 'dftb_in.hsd' remains intact (see example 2 below). However, in case of own 'dftb_in.hsd' file you need first read in atom position and atom type information of your system for ase (for instance a xyz-file), see example 2 below. The atom positions in file 'dftb_in.hsd' are updated during ASE geometry optimization. For the spin polarised calculations this ASE-interface generates parameters with GGA-PBE-spin parameters. If you need LDA use your own 'dftb_in.hsd'-file. Information of periodicity is taken from ase (see example1 below). For example:: calc = Dftb(label='o2', write_dftb=True, do_spin_polarized=True, unpaired_electrons=2.0, fermi_temperature=100.0, scc=True) Parameters ========== label: str Prefix to use for filenames (label.txt, ...). Default is 'dftb'. write_dftb: boolean True: a minimal input file (name of which is always 'dftb_in.hsd') is written based on values given here. False: input file for dftb+ is not written. User must have generated file 'dftb_in.hsd' in the working directory. Use write_dftb=False to use your own 'dftb_in.hsd'-file. charge: float Total charge of the system. include_dispersion: boolean True: Default dispersion parameters are written in the file 'dftb_in.hsd' (requires that also write_dftb_input_file==True) False: dispersion parameters are not written here. do_spin_polarized: boolean True: Spin polarized calculation False: Spin unpolarized calculation unpaired_electrons: float Number of spin unpaired electrons in the system. Relevant only if do_spin_polarized==True fermi_temperature: float Fermi temperature for electrons. scc: boolean True: Do charge self consistent dftb+ False: No SCC, charges on atoms are not iterated Example1: Geometry Optimization =============================== .. literalinclude:: dftb_ex1_relax.py Example2: Geometry Optimization using your own 'dftb_in.hsd' file ================================================================== .. literalinclude:: dftb_ex2_relax.py Input file for example 2 (h2o_1.xyz) .. literalinclude:: h2o_1.xyz You also need to have generated the file 'dftb_in.hsd', here is and example: change the variable 'Prefix' below .. literalinclude:: dftb_in.hsd �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/molecules.rst���������������������������������������������������������0000644�0001754�0001754�00000000406�11430460050�017230� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. _molecules-section: Molecules ========= The G2-database of common molecules is available in the :mod:`data.molecules` module. .. autofunction:: ase.data.molecules.molecule Example:: >>> from ase.data.molecules import molecule >>> atoms = molecule('H2O') ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/dft/������������������������������������������������������������������0000755�0001754�0001754�00000000000�11757245034�015302� 5����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/dft/dos.rst�����������������������������������������������������������0000644�0001754�0001754�00000001473�11123654750�016622� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: dft.dos :synopsis: Density of states ================= Density of states ================= Example:: calc = ... dos = DOS(calc, width=0.2) d = dos.get_dos() e = dos.get_energies() You can plot the result like this:: import pylab as plt plt.plot(e, d) plt.xlabel('energy [eV]') plt.ylabel('DOS') plt.show() .. image:: dos.png Calculations involving moments of a DOS distribution may be facilitated by the use of :func:`~ase.dft.get_distribution_moment` method, as in the following example:: from ase.dft import get_distribution_moment volume = get_distribution_moment(e,d) center, width = get_distribution_moment(e,d,(1,2)) More details ------------ .. autoclass:: ase.dft.dos.DOS :members: get_energies, get_dos .. automodule:: ase.dft :members: get_distribution_moment �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/dft/kpoints.rst�������������������������������������������������������0000644�0001754�0001754�00000003407�11720467270�017525� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: dft.kpoints :synopsis: Brillouin zone sampling .. default-role:: math ======================= Brillouin zone sampling ======================= The **k**-points are always given relative to the basis vectors of the reciprocal unit cell. Monkhorst-Pack -------------- .. autofunction:: ase.dft.kpoints.monkhorst_pack The k-points are given as [MonkhorstPack]_: .. math:: \sum_{i=1,2,3} \frac{2n_i -N_i - 1}{2N_i} \mathbf{b}_i, where `n_i=1,2,...,N_i`, ``size`` = `(N_1, N_2, N_3)` and the `\mathbf{b}_i`'s are reciprocal lattice vectors. .. autofunction:: ase.dft.kpoints.get_monkhorst_pack_size_and_offset Example: >>> from ase.dft.kpoints import * >>> monkhorst_pack((4, 1, 1)) array([[-0.375, 0. , 0. ], [-0.125, 0. , 0. ], [ 0.125, 0. , 0. ], [ 0.375, 0. , 0. ]]) >>> get_monkhorst_pack_size_and_offset([[0, 0, 0]]) (array([1, 1, 1]), array([ 0., 0., 0.])) .. [MonkhorstPack] Hendrik J. Monkhorst and James D. Pack: *Special points for Brillouin-zone integrations*, Phys. Rev. B 13, 5188–5192 (1976) Chadi-Cohen ----------- Predefined sets of **k**-points: .. data:: dft.kpoints.cc6_1x1 .. data:: dft.kpoints.cc12_2x3 .. data:: dft.kpoints.cc18_sq3xsq3 .. data:: dft.kpoints.cc18_1x1 .. data:: dft.kpoints.cc54_sq3xsq3 .. data:: dft.kpoints.cc54_1x1 .. data:: dft.kpoints.cc162_sq3xsq3 .. data:: dft.kpoints.cc162_1x1 Naming convention: ``cc18_sq3xsq3`` is 18 **k**-points for a sq(3)xsq(3) cell. Try this: >>> import numpy as np >>> import pylab as plt >>> from ase.dft.kpoints import cc162_1x1 >>> B = [(1, 0, 0), (-0.5, 3**0.5 / 2, 0), (0, 0, 1)] >>> k = np.dot(cc162_1x1, B) >>> plt.plot(k[:, 0], k[:, 1], 'o') [] >>> p.show() .. image:: cc.png ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/dft/wannier.rst�������������������������������������������������������0000644�0001754�0001754�00000012073�11074564463�017504� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: dft.wannier :synopsis: Maximally localized Wannier functions ===================================== Maximally localized Wannier functions ===================================== .. default-role:: math This page describes how to construct the Wannier orbitals using the class :class:`Wannier`. The page is organized as follows: * `Introduction`_: A short summary of the basic theory. * `The Wannier class`_ : A description of how the Wannier class is used, and the methods defined within. Introduction ============ The point of Wannier functions is the transform the extended Bloch eigenstates of a DFT calculation, into a smaller set of states designed to facilitate the analysis of e.g. chemical bonding. This is achived by designing the Wannier functions to be localized in real space instead of energy (which would be the eigen states). The standard Wannier transformation is a unitary rotation of the Bloch states. This implies that the Wannier functions (WF) span the same Hilbert space as the Bloch states, i.e. they have the same eigenvalue spectrum, and the original Bloch states can all be exactly reproduced from a linear combination of the WF. For maximally localized Wannier functions (MLWF), the unitary transformation is chosen such that the spread of the resulting WF is minimized. The standard choice is to make a unitary transformation of the occupied bands only, thus resulting in as many WF as there are occupied bands. If you make a rotation using more bands, the localization will be improved, but the number of wannier functions increase, thus making orbital based analysis harder. The class defined here allows for construction of *partly* occupied MLWF. In this scheme the transformation is still a unitary rotation for the lowest states (the *fixed space*), but it uses a dynamically optimized linear combination of the remaining orbitals (the *active space*) to improve localization. This implies that e.g. the eigenvalues of the Bloch states contained in the fixed space can be exactly reproduced by the resulting WF, whereas the largest eigenvalues of the WF will not necessarily correspond to any "real" eigenvalues (this is irrelevant, as the fixed space is usually chosen large enough, i.e. high enough above the fermilevel, that the remaining DFT eigenvalues are meaningless anyway). For the theory behind this method see the paper "Partly Occupied Wannier Functions" Thygesen, Hansen and Jacobsen, *Phys. Rev. Lett*, Vol. **94**, 26405 (2005). The Wannier class ================= Usual invocation:: from ase.dft import Wannier wan = Wannier(nwannier=18, calc=GPAW('save.gpw'), fixedstates=15) wan.localize() # Optimize rotation to give maximal localization wan.save('file.pickle') # Save localization and rotation matrix # Re-load using saved wannier data wan = Wannier(nwannier=18, calc=calc, fixedstates=15, file='file.pickle') # Write a cube file wan.write_cube(index=5, fname='wannierfunction5.cube') For examples of how to use the **Wannier** class, see the `Wannier tutorial`_. .. _Wannier tutorial: https://wiki.fysik.dtu.dk/ase/tutorials/wannier.html .. autoclass:: ase.dft.wannier.Wannier :members: In Dacapo, the inialwannier keyword can be a list as described below: Setup an initial set of Wannier orbitals. *initialwannier* can set up a starting guess for the Wannier functions. This is important to speed up convergence in particular for large systems For transition elements with **d** electrons you will always find 5 highly localized **d**-orbitals centered at the atom. Placing 5 **d**-like orbitals with a radius of 0.4 Angstroms and center at atom no. 7, and 3 **p**-like orbitals with a radius of 0.4 Angstroms and center at atom no. 27 looks like this:: initialwannier = [[[7],2,0.4],[[27],1,0.4]] Placing only the l=2, m=-2 and m=-1 orbitals at atom no. 7 looks like this:: initialwannier = [[[7],2,-2,0.4],[[7],2,-1,0.4]] I.e. if you do not specify the m quantum number all allowed values are used. Instead of placing an orbital at an atom, you can place it at a specified position. For example the following:: initialwannier = [[[0.5,0.5,0.5],0,0.5]] places an **s** orbital with radius 0.5 Angstroms at the position (0.5, 0.5, 0.5) in scaled coordinates of the unit cell. .. note:: For calculations using **k**-points, make sure that the `\Gamma`-point is included in the **k**-point grid. The Wannier module does not support **k**-point reduction by symmetry, so you must use the ``usesymm=False`` keyword in the calc, and shift all **k**-points by a small amount (but not less than 2e-5 in) in e.g. the x direction, before performing the calculation. If this is not done the symmetry program will still use time-reversal symmetry to reduce the number of **k**-points by a factor 2. The shift can be performed like this:: from ase import * kpts = monkhorst_pack((15, 9, 9)) + [2e-5, 0, 0] .. default-role:: ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/dft/kpoints.py��������������������������������������������������������0000644�0001754�0001754�00000000445�11265567630�017351� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������# creates: cc.png import matplotlib matplotlib.use('Agg') import numpy as np import pylab as plt from ase.dft.kpoints import cc162_1x1 B = [(1, 0, 0), (-0.5, 3**0.5 / 2, 0), (0, 0, 1)] k = np.dot(cc162_1x1, B) plt.figure(figsize=(5, 4)) plt.plot(k[:, 0], k[:, 1], 'o') plt.savefig('cc.png') ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/dft/bader.rst���������������������������������������������������������0000644�0001754�0001754�00000010455�11674357343�017123� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������============== Bader Analysis ============== Henkelman *et. al* have implemented a fast and robust algorithm for calculating the electronic charges on individual atoms in molecules or crystals, based on the Bader partitioning scheme [Bader]_. In that method, the analysis is based purely on the electron density. The partitioning of the density is determined according to its zero-flux surfaces. Details of their implementation can be found in [Tang]_. The program is freely available at http://theory.cm.utexas.edu/henkelman/research/bader/ where you will also find a description of the method. The algorithm is very well suited for large solid state physical systems, as well as large biomolecular systems. The computational time depends only on the size of the 3D grid used to represent the electron density, and scales linearly with the total number of grid points. As the accuracy of the method depends on the grid spacing, it is recommended to check for convergnce in this parameter (which should usually by smaller than the default value). The program takes cube input files. It does *not* support units, and assumes atomic units for the density (Bohr^-3). All ase dft calculators have a ``get_pseudo_density`` method, which can be used to get the density. A simple python script for making a cube file, ready for the Bader program, could be:: >>> from ase import * >>> density = calc.get_pseudo_density() * Bohr**3 >>> write('filename.cube', atoms, data=density) Some calculators (e.g. gpaw) also have a method called ``get_all_electron_density``, in which case this is preferable to ``get_pseudo_density``. Note that it is strongly recommended to use version 0.26b or higher of the program, and the examples below refer to this version. .. [Bader] R. F. W. Bader. Atoms in Molecules: A Quantum Theory. Oxford University Press, New York, 1990. .. [Tang] W. Tang, E. Sanville, G. Henkelman. A grid-based Bader analysis algorithm without lattice bias. J. Phys.: Compute Mater. 21, 084204 (2009). Example: The water molecule --------------------------- The following example shows how to do Bader analysis for a water molecule. First do a ground state calculation, and save the density as a cube file:: from ase import * from gpaw import * atoms = molecule('H2O', cell=[7.5, 9, 9], calculator=GPAW(h=.17, xc='PBE')) atoms.center() atoms.get_potential_energy() rho = atoms.calc.get_all_electron_density(gridrefinement=4) * Bohr**3 write('water_density.cube', atoms, data=rho) Then analyse the density cube file by running (use `bader -h` for a description of the possible options):: $ bader -p all_atom -p atom_index water_density.cube This will produce a number of files. The `ACF.dat` file, contains a summary of the Bader analysis:: | # X Y Z CHARGE MIN DIST | ----------------------------------------------------------------- | 1 7.0865 8.5038 9.0672 9.1121 1.3250 | 2 7.0865 9.9461 7.9403 0.4440 0.2834 | 3 7.0865 7.0615 7.9403 0.4440 0.2834 | ----------------------------------------------------------------- | NUMBER OF ELECTRONS: 9.99999 Revealing that 0.56 electrons have been transfered from each Hydrogen atom to the Oxygen atom. The `BvAtxxxx.dat` files, are cube files for each Bader volume, describing the density within that volume. (I.e. it is just the original cube file, truncated to zero outside the domain of the specific Bader volume). `AtIndex.dat` is a cube file with an integer value at each grid point, describing which Bader volume it belongs to. The plot below shows the dividing surfaces of the Hydrogen Bader volumes. This was achieved by plotting a contour surface of `AtIndex.dat` at an isovalue of 1.5. .. image:: water_divide_surf.png :height: 220 pt You can attach the output charges from the bader program to the atoms for further processing:: from ase import * from ase.io.bader import attach_charges # define the molecule as above atoms = molecule('H2O') atoms.set_cell([7.5, 9, 9]) atoms.center() # the next two lines are equivalent (only one needed) attach_charges(atoms) attach_charges(atoms, 'ACF.dat') for atom in atoms: print 'Atom', atom.symbol, 'Bader charge', atom.charge �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/dft/dos.py������������������������������������������������������������0000644�0001754�0001754�00000001114�11410141635�016422� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������# creates: dos.png import numpy as np from ase.dft import DOS class MyCalc: def get_eigenvalues(self, kpt=0, spin=0): return np.random.uniform(-5.0, 2.0, 90) def get_k_point_weights(self): return [1.0] def get_number_of_spins(self): return 1 def get_fermi_level(self): return 0.0 calc = MyCalc() dos = DOS(calc, width=0.2) d = dos.get_dos() e = dos.get_energies() import matplotlib matplotlib.use('Agg') import pylab as plt plt.figure(figsize=(5, 4)) plt.plot(e, d) plt.xlabel('energy [eV]') plt.ylabel('DOS') plt.savefig('dos.png') ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/dft/dft.rst�����������������������������������������������������������0000644�0001754�0001754�00000000302�11265567630�016607� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: dft :synopsis: Tools specific to DFT calculators Density Functional Theory ========================= .. toctree:: :maxdepth: 2 kpoints wannier dos stm bader ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/dft/stm.rst�����������������������������������������������������������0000644�0001754�0001754�00000005537�11025712770�016643� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: dft.stm **XXX This page needs more work!** STMTool ------- The ``STMTool`` class generates Tersoff-Hamann STM topographs. Here is how you could make a STM picture from the `GPAW`_ code, assuming you have allready generated the the Al100.gpw GPAW restart file, (see the :ref:`STM tutorial` for a full description): >>> from ASE.Utilities.ElectronicStates import ElectronicStates >>> from ASE.Utilities.STMTool import STMTool >>> from ASE.Visualization.VTK import VTKPlotSTM >>> loe = ElectronicStates(filename = 'Al100.gpw') >>> stm = STMTool(loe,contourvalue=1.0e-4, channel="s", ... normalaxis=2, smoothfactor=0.1) # available channels: s,px,py,pz >>> stmplot = VTKPlotSTM(stm) >>> stmplot.set_color_range((3.325,3.55)) # from surface span color range >>> stmplot.render() # updates picture From the planewave code `dacapo`_, the dacapo codes own version of the ElectronicStates class must be used: >>> from Dacapo.ElectronicStates import ElectronicStates >>> from ASE.Utilities.STMTool import STMTool >>> from ASE.Visualization.VTK import VTKPlotSTM >>> loe = ElectronicStates(filename='Al100.nc') From this point the code is identical to the example above. The list of keywords for the STMTool object is: ``listofeigenstates`` The ``ElectronicStates`` object holding information about each eigenstate of the slab. ``contourvalue`` The density of states at the Fermi level for which the topograph is generated. This argument is mandatory, as no universal (simple) default is natural. Often used values are [1.0e-6 - 1.0e-3], but is very system dependent. ``channel`` Selects whether the topograph is generated by the value or gradient isosurface of the Fermi level DOS. This adjusts for the orbital character of the DOS of the actual STM tip in the probing energy window, i.e. the STM tip states that couples to the substrate. Available options are "s", "px", "py" and "pz". Default is "s". ``normalaxis`` The surface normal direction, (0,1,2) for (x,y,z) respectively. normalaxis = 2 is default. ``smoothfactor`` The thermal convolution applied to the slab states. It is necessary to apply this due to finite k-point sampling. STM linescans ------------- The class `STMLineScan` can be used to simulate an STM linescan. It must be initialized with an instance of the STMTool class. Note that the linescans are limited to be along one of the axis of the unit cell. The origin of the linescan can only assume discrete values corresponding to the FFT grid. The class is used like:: linescan = STMLineScan(stm,fftnumber=12,axis=1) See more details in the `linescan section` of the `STM tutorial`. .. _dacapo: http://www.fysik.dtu.dk/campos/Dacapo/ .. _GPAW: http://wiki.fysik.dtu.dk/gpaw �����������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/vibrations.rst��������������������������������������������������������0000644�0001754�0001754�00000003302�11602445437�017433� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: vibrations Vibration analysis ------------------ You can calculate the vibrational modes of a an :class:`~ase.atoms.Atoms` object in the harmonic approximation using the :class:`~ase.vibration.Vibrations`. .. autoclass:: ase.vibrations.Vibrations :members: name is a string that is prefixed to the names of all the files created. atoms is an Atoms object that is either at a fully relaxed ground state or at a saddle point. freeatoms is a list of atom indices for which the vibrational modes will be calculated, the rest of the atoms are considered frozen. displacements is a list of displacements, one for each free atom that are used in the finite difference method to calculate the Hessian matrix. method is -1 for backward differences, 0 for centered differences, and 1 for forward differences. .. warning:: Using the `dacapo` caculator you must make sure that the symmetry program in dacapo finds the same number of symmetries for the displaced configurations in the vibrational modules as found in the ground state used as input. This is because the wavefunction is reused from one displacement to the next. One way to ensure this is to tell dacapo not to use symmetries. This will show op as a python error 'Frames are not aligned'. This could be the case for other calculators as well. You can get a NetCDF trajectory corresponding to a specific mode by using: >>> mode=0 >>> vib.create_mode_trajectory(mode=mode,scaling=5) This will create a NetCDF trajectory file `CO_vib_mode_0.traj`, corresponding to the highest frequency mode. `scaling` is an option argument, that will give the amplitude of the mode, default is 10. ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/units.rst�������������������������������������������������������������0000644�0001754�0001754�00000002370�11604541270�016413� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: units ===== Units ===== Physical units are defined in the :trac:`ase/units.py` module. Electron volts (``eV``) and angstroms (``Ang``) are defined as 1.0. Other units are ``nm``, ``Bohr``, ``Hartree`` or ``Ha``, ``kJ``, ``kcal``, ``mol``, ``Rydberg`` or ``Ry``, ``second``, ``fs`` and ``kB``. .. note:: All constants are taken from the 1986 CODATA_. .. _CODATA: http://physics.nist.gov/cuu/Constants/archive1986.html Examples: >>> from ase import * >>> 2 * Bohr 1.0583545150138329 >>> 25 * Rydberg 340.14244569396635 >>> 100 * kJ/mol 1.0364272141304978 >>> 300 * kB 0.025852157076770025 >>> 0.1 * fs 0.009822693531550318 >>> print '1 Hartree = '+str(Hartree*mol/kcal)+' kcal/mol' ======================= The ``ase.data`` module ======================= This module defines the following variables: ``atomic_masses``, ``atomic_names``, ``chemical_symbols``, ``covalent_radii``, ``cpk_colors`` and ``reference_states``. All of these are lists that should be indexed with an atomic number: >>> atomic_names[92] 'Uranium' >>> atomic_masses[2] 4.0026000000000002 If you don't know the atomic number of some element, then you can look it up in the ``atomic_numbers`` dictionary: >>> atomic_numbers['Cu'] 29 >>> covalent_radii[29] 1.1699999999999999 ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/utils.rst�������������������������������������������������������������0000644�0001754�0001754�00000001046�11172111736�016410� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: utils ============================== Utillity functions and classes ============================== .. index:: Bulk modulus Equation of state ================= The :class:`~ase.utils.eos.EquationOfState` class can be used to find equilibrium volume, energy, and bulk modulus for solids: .. autoclass:: ase.utils.eos.EquationOfState :members: fit, plot .. seealso:: The :ref:`eos` tutorial. Symmetry analysis ================= http://spglib.sourceforge.net/pyspglibForASE/ Phonons ======= http://phonopy.sourceforge.net/ ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/lattice.rst�����������������������������������������������������������0000644�0001754�0001754�00000022616�11621213344�016700� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. default-role:: math .. _general-crystal-section: General crystal structures and surfaces ======================================= .. module:: lattice Modules for creating crystal structures are found in the module :mod:`lattice`. Most Bravais lattices are implemented, as are a few important lattices with a basis. The modules can create lattices with any orientation (see below). These modules can be used to create surfaces with any crystal structure and any orientation by later adding a vacuum layer with :func:`lattice.surface.add_vacuum`. Example ------- To set up a slab of FCC copper with the [1,-1,0] direction along the x-axis, [1,1,-2] along the y-axis and [1,1,1] along the z-axis, use:: from ase.lattice.cubic import FaceCenteredCubic atoms = FaceCenteredCubic(directions=[[1,-1,0], [1,1,-2], [1,1,1]], size=(2,2,3), symbol='Cu', pbc=(1,1,0)) The minimal unit cell is repeated 2*2*3 times. The lattice constant is taken from the database of lattice constants in :mod:`data` module. There are periodic boundary conditions along the *x* and *y* axis, but free boundary conditions along the *z* axis. Since the three directions are perpendicular, a (111) surface is created. To set up a slab of BCC copper with [100] along the first axis, [010] along the second axis, and [111] along the third axis use:: from ase.lattice.cubic import BodyCenteredCubic atoms = BodyCenteredCubic(directions=[[1,0,0], [0,1,0], [1,1,1]], size=(2,2,3), symbol='Cu', pbc=(1,1,0), latticeconstant=4.0) Since BCC is not the natural crystal structure for Cu, a lattice constant has to be specified. Note that since the repeat directions of the unit cell are not orthogonal, the Miller indices of the surfaces will *not* be the same as the Miller indices of the axes. The indices of the surfaces in this example will be (1,0,-1), (0,1,-1) and (0,0,1). Available crystal lattices -------------------------- The following modules are currently available (the * mark lattices with a basis): * ``lattice.cubic`` - ``SimpleCubic`` - ``FaceCenteredCubic`` - ``BodyCenteredCubic`` - ``Diamond`` (*) * ``lattice.tetragonal`` - ``SimpleTetragonal`` - ``CenteredTetragonal`` * ``lattice.orthorhombic`` - ``SimpleOrthorhombic`` - ``BaseCenteredOrthorhombic`` - ``FaceCenteredOrthorhombic`` - ``BodyCenteredOrthorhombic`` * ``lattice.monoclinic`` - ``SimpleMonoclinic`` - ``BaseCenteredMonoclinic`` * ``lattice.triclinic`` - ``Triclinic`` * ``lattice.hexagonal`` - ``Hexagonal`` - ``HexagonalClosedPacked`` (*) - ``Graphite`` (*) * The rhombohedral (or trigonal) lattices are not implemented. They will be implemented when the need arises (and if somebody can tell me_ the precise definition of the 4-number Miller indices - I only know that they are "almost the same as in hexagonal lattices"). * ``lattice.compounds`` Lattices with more than one element. These are mainly intended as examples allowing you to define new such lattices. Currenly, the following are defined - ``B1`` = ``NaCl`` = ``Rocksalt`` - ``B2`` = ``CsCl`` - ``B3`` = ``ZnS`` = ``Zincblende`` - ``L1_2`` = ``AuCu3`` - ``L1_0`` = ``AuCu`` .. _me: http://www.fysik.dtu.dk/~schiotz Usage ----- The lattice objects are called with a number of arguments specifying e.g. the size and orientation of the lattice. All arguments should be given as named arguments. At a minimum the ``symbol`` argument must be specified. ``symbol`` The element, specified by the atomic number (an integer) or by the atomic symbol (i.e. 'Au'). For compounds, a tuple or list of elements should be given. This argument is mandatory. ``directions`` and/or ``miller``: Specifies the orientation of the lattice as the Miller indices of the three basis vectors of the supercell (``directions=...``) and/or as the Miller indices of the three surfaces (``miller=...``). Normally, one will specify either three directions or three surfaces, but any combination that is both complete and consistent is allowed, e.g. two directions and two surface miller indices (this example is slightly redundant, and consistency will be checked). If only some directions/miller indices are specified, the remaining should be given as ``None``. If you intend to generate a specific surface, and prefer to specify the miller indices of the unit cell basis (``directions=...``), it is a good idea to give the desired Miller index of the surface as well to allow the module to test for consistency. Example: >>> atoms = BodyCenteredCubic(directions=[[1,-1,0],[1,1,-1],[0,0,1]], ... miller=[None, None, [1,1,2]], ...) If neither ``directions`` nor ``miller`` are specified, the default is ``directions=[[1,0,0], [0,1,0], [0,0,1]]``. ``size``: A tuple of three numbers, defining how many times the fundamental repeat unit is repeated. Default: (1,1,1). Be aware that if high-index directions are specified, the fundamental repeat unit may be large. ``latticeconstant``: The lattice constant. If no lattice constant is specified, one is extracted from ASE.ChemicalElements provided that the element actually has the crystal structure you are creating. Depending on the crystal structure, there will be more than one lattice constant, and they are specified by giving a dictionary or a tuple (a scalar for cubic lattices). Distances are given in Angstrom, angles in degrees. ============= =================== ======================================== Structure Lattice constants Dictionary-keys ============= =================== ======================================== Cubic a 'a' Tetragonal (a, c) 'a', 'c' or 'c/a' Orthorhombic (a, b, c) 'a', 'b' or 'b/a', 'c' or 'c/a' Triclinic (a, b, c, `\alpha`, 'a', 'b' or 'b/a', 'c' or `\beta`, `\gamma`) 'c/a', 'alpha', 'beta', 'gamma' Monoclinic (a, b, c, alpha) 'a', 'b' or 'b/a', 'c' or 'c/a', 'alpha' Hexagonal (a, c) 'a', 'c' or 'c/a' ============= =================== ======================================== Example: >>> atoms = Monoclinic( ... , latticeconstant={'a': 3.06, ... 'b/a': 0.95, 'c/a': 1.07, 'alpha': 74}) ``debug``: Controls the amount of information printed. 0: no info is printed. 1 (the default): The indices of surfaces and unit cell vectors are printed. 2: Debugging info is printed. Defining new lattices --------------------- Often, there is a need for new lattices - either because an element crystallizes in a lattice that is not a simple Bravais lattice, or because you need to work with a compound or an ordered alloy. All the lattice generating objects are instances of a class, you generate new lattices by deriving a new class and instantiating it. This is best explained by an example. The diamond lattice is two interlacing FCC lattices, so it can be seen as a face-centered cubic lattice with a two-atom basis. The Diamond object could be defined like this:: from ase.lattice.cubic import FaceCenteredCubicFactory class DiamondFactory(FaceCenteredCubicFactory): """A factory for creating diamond lattices.""" xtal_name = 'diamond' bravais_basis = [[0, 0, 0], [0.25, 0.25, 0.25]] Diamond = DiamondFactory() Lattices with more than one element ``````````````````````````````````` Lattices with more than one element is made in the same way. A new attribute, ``element_basis``, is added, giving which atoms in the basis are which element. If there are four atoms in the basis, and element_basis is (0,0,1,0), then the first, second and fourth atoms are one element, and the third is the other element. As an example, the AuCu3 structure (also known as `\mathrm{L}1_2`) is defined as:: # The L1_2 structure is "based on FCC", but is really simple cubic # with a basis. class AuCu3Factory(SimpleCubicFactory): "A factory for creating AuCu3 (L1_2) lattices." bravais_basis = [[0, 0, 0], [0, 0.5, 0.5], [0.5, 0, 0.5], [0.5, 0.5, 0]] element_basis = (0, 1, 1, 1) AuCu3 = L1_2 = AuCu3Factory() Sometimes, more than one crystal structure can be used to define the crystal structure, for example the Rocksalt structure is two interpenetrating FCC lattices, one with one kind of atoms and one with another. It would be tempting to define it as :: class NaClFactory(FaceCenteredCubicFactory): "A factory for creating NaCl (B1, Rocksalt) lattices." bravais_basis = [[0, 0, 0], [0.5, 0.5, 0.5]] element_basis = (0, 1) B1 = NaCl = Rocksalt = NaClFactory() but if this is used to define a finite system, one surface would be covered with one type of atoms, and the opposite surface with the other. To maintain the stochiometry of the surfaces, it is better to use the simple cubic lattice with a larger basis:: # To prevent a layer of element one on one side, and a layer of # element two on the other side, NaCl is based on SimpleCubic instead # of on FaceCenteredCubic class NaClFactory(SimpleCubicFactory): "A factory for creating NaCl (B1, Rocksalt) lattices." bravais_basis = [[0, 0, 0], [0, 0, 0.5], [0, 0.5, 0], [0, 0.5, 0.5], [0.5, 0, 0], [0.5, 0, 0.5], [0.5, 0.5, 0], [0.5, 0.5, 0.5]] element_basis = (0, 1, 1, 0, 1, 0, 0, 1) B1 = NaCl = Rocksalt = NaClFactory() More examples can be found in the file :trac:`ase/lattice/compounds.py`. .. default-role:: ������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/optimize.rst����������������������������������������������������������0000644�0001754�0001754�00000024457�11551300407�017117� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. _structure_optimizations: ====================== Structure optimization ====================== The optimization algorithms can be roughly devided into local optimization algorithms which find the next local minimum and global optimization algorithms that try to find the global minimum (a much harder task). .. seealso:: `Performance test `_ for all ASE optimizers. Local optimization ================== .. module:: optimize :synopsis: Structure Optimization There are currently 5 different optimization algorithms available: ``BFGS``, ``LBFGS``, ``BFGSLineSearch``, ``LBFGSLineSearch``, ``MDMin``, and ``FIRE``. ``MDMin`` and ``FIRE`` both use Newtonian dynamics with added friction, to converge to an energy minimum, whereas the first 3 are of the quasi-Newton type, where the forces of consecutive steps are used to dynamically update a Hessian describing the curvature of the potential energy landscape. You can use the ``QuasiNewton`` synonym for ``BFGSLineSearch`` because this algorithm is in many cases the optimal one of the three quasi-Newton algorithms. All optimizer classes have the following structure:: class Optimizer: def __init__(self, atoms, restart=None, logfile=None): def run(self, fmax=0.05, steps=100000000): def get_number_of_steps(): The convergence criterion is that the force on all individual atoms should be less than *fmax*: .. math:: \max_a |\vec{F_a}| < f_\text{max} BFGS ---- .. module:: optimize.qn :synopsis: Quasi-Newton The ``BFGS`` object is one of the minimizers in the ASE package. Let's try to use it to optimize the structure of a water molecule. We start with the experimental geometry:: from ase import * import numpy as np d = 0.9575 t = pi / 180 * 104.51 water = Atoms('H2O', positions=[(d, 0, 0), (d * np.cos(t), d * np.sin(t), 0), (0, 0, 0)], calculator=EMT()) dyn = BFGS(water) dyn.run(fmax=0.05) BFGS: 0 16:14:26 6.445801 51.6847 BFGS: 1 16:14:26 2.418583 27.2946 BFGS: 2 16:14:26 0.620874 13.0140 BFGS: 3 16:14:26 -0.028619 4.4019 BFGS: 4 16:14:26 -0.129349 0.7307 BFGS: 5 16:14:26 -0.132320 0.0138 When doing structure optimization, it is useful to write the trajectory to a file, so that the progress of the optimization run can be followed during or after the run:: dyn = BFGS(water, trajectory='H2O.traj') dyn.run(fmax=0.05) Use the command ``ag H2O.traj`` to see what is going on (more here: :mod:`gui`). The trajectory file can also be accessed using the module :mod:`ase.io.trajectory`. The ``attach`` method takes an optional argument ``interval=n`` that can be used to tell the structure optimizer object to write the configuration to the trajectory file only every ``n`` steps. During a structure optimization, the :class:`BFGS` and :class:`LBFGS` optimizers use two quantities to decide where to move the atoms on each step: * the forces on each atom, as returned by the associated :class:`Calculator` object * the Hessian matrix, i.e. the matrix of second derivatives :math:`\frac{\partial^2 E}{\partial x_i \partial x_j}` of the total energy with respect to nuclear coordinates. If the atoms are close to the minimum, such that the potential energy surface is locally quadratic, the Hessian and forces accurately determine the required step to reach the optimal structure. The Hessian is very expensive to calculate *a priori*, so instead the algorithm estimates it by means of an initial guess which is adjusted along the way depending on the information obtained on each step of the structure optimization. It is frequently practical to restart or continue a structure optimization with a geometry obtained from a previous relaxation. Aside from the geometry, the Hessian of the previous run can and should be retained for the second run. Use the ``restart`` keyword to specify a file in which to save the Hessian:: dyn = BFGS(system, trajectory='qn.traj', restart='qn.pckl') This will create an optimizer which saves the Hessian to :file:`qn.pckl` (using the Python :mod:`pickle` module) on each step. If the file already exists, the Hessian will also be *initialized* from that file. The trajectory file can also be used to restart a structure optimization, since it contains the history of all forces and positions, and thus whichever information about the Hessian was assembled so far:: dyn = BFGS(system, trajectory='qn.traj') dyn.replay_trajectory('history.traj') This will read through each iteration stored in :file:`history.traj`, performing adjustments to the Hessian as appropriate. Note that these steps will not be written to :file:`qn.traj`. If restarting with more than one previous trajectory file, use :command:`ag` to concatenate them into a single trajectory file first:: $ ag part1.traj part2.traj -o history.traj The file :file:`history.traj` will then contain all necessary information. When switching between different types of optimizers, e.g. between ``BFGS`` and ``LBFGS``, the pickle-files specified by the ``restart`` keyword are not compatible, but the Hessian can still be retained by replaying the trajectory as above. .. note:: In many of the examples, tests, exercises and tutorials, ``QuasiNewton`` is used -- it is a synonym for ``BFGS``. LBFGS ----- .. module:: optimize.lbfgs LBFGS is the limited memory version of the BFGS algorithm, where the inverse of Hessian matrix is updated instead of the Hessian itself. Two ways exist for determining the atomic step: Standard ``LBFGS`` and ``LBFGSLineSearch``. For the first one, both the directions and lengths of the atomic steps are determined by the approximated Hessian matrix. While for the latter one, the approximated Hessian matrix is only used to find out the directions of the line searches and atomic steps, the step lengths are determined by the forces. To start a structure optimization with LBFGS algorithm is similar to BFGS. A typical optimization should look like:: dyn = LBFGS(system, trajectory='lbfgs.traj', restart='lbfgs.pckl') where the trajectory and the restart save the trajectory of the optimization and the vectors needed to generate the Hessian Matrix. FIRE ---- .. module:: optimize.fire Read about this algorithm here: | Erik Bitzek, Pekka Koskinen, Franz Gähler, Michael Moseler, and Peter Gumbsch | `Structural Relaxation Made Simple`__ | Physical Review Letters, Vol. **97**, 170201 (2006) __ http://dx.doi.org/10.1103/PhysRevLett.97.170201 MDMin ----- .. module:: optimize.mdmin The MDmin algorithm is a modification of the usual velocity-Verlet molecular dynamics algorithm. Newtons second law is solved numerically, but after each time step the dot product between the forces and the momenta is checked. If it is zero, the system has just passed through a (local) minimum in the potential energy, the kinetic energy is large and about to decrease again. At this point, the momentum is set to zero. Unlike a "real" molecular dynamics, the masses of the atoms are not used, instead all masses are set to one. The MDmin algorithm exists in two flavors, one where each atom is tested and stopped individually, and one where all coordinates are treated as one long vector, and all momenta are set to zero if the dotproduct between the momentum vector and force vector (both of length 3N) is zero. This module implements the latter version. Although the algorithm is primitive, it performs very well because it takes advantage of the physics of the problem. Once the system is so near the minimum that the potential energy surface is approximately quadratic it becomes advantageous to switch to a minimization method with quadratic convergence, such as `Conjugate Gradient` or `Quasi Newton`. SciPy optimizers ---------------- .. module:: optimize.sciopt SciPy provides a number of optimizers. An interface module for a couple of these have been written for ASE. Most notable are the optimizers SciPyFminBFGS and SciPyFminCG. These are called with the regular syntax and can be imported as:: from ase.optimize.sciopt import SciPyFminBFGS, SciPyFminCG .. autoclass:: ase.optimize.sciopt.SciPyFminBFGS .. autoclass:: ase.optimize.sciopt.SciPyFminCG .. seealso:: :epydoc:`optimize.sciopt.SciPyFminBFGS`, :epydoc:`optimize.sciopt.SciPyFminCG` BFGSLineSearch -------------- .. module:: optimize.bfgslinesearch BFGSLineSearch is the BFGS algorithm with an line search mechanism that enforces the step taken fulfills the Wolfe conditions, so that the energy and absolute value of the force decrease monotonically. Like the lbfgs algorithm the inverse of the Hessian Matrix is updated. The usage of BFGSLineSearch algorithm is similar to other BFGS type algorithms. A typical optimization should look like:: from ase.optimize.bfgslinesearch import BFGSLineSearch dyn = BFGSLineSearch(system, trajectory='bfgs_ls.traj', restart='bfgs_ls.pckl') where the trajectory and the restart save the trajectory of the optimization and the information needed to generate the Hessian Matrix. Global optimization =================== There is currently one global optimisation algorithm available. Basin hopping ------------- .. module:: optimize.basin The global optimization algorithm can be used quite similar as a local optimization algorithm:: from ase import * from ase.optimize.basin import BasinHopping bh = BasinHopping(system, # the system to optimize temperature=100 * kB, # 'temperature' to overcome barriers dr=0.5, # maximal stepwidth optimizer=LBFGS, # optimizer to find local minima fmax=0.1, # maximal force for the optimizer ) Read more about this algorithm here: | David J. Wales and Jonathan P. K. Doye | `Global Optimization by Basin-Hopping and the Lowest Energy Structures of Lennard-Jones Clusters Containing up to 110 Atoms`__ | J. Phys. Chem. A, Vol. **101**, 5111-5116 (1997) __ http://pubs.acs.org/doi/abs/10.1021/jp970984n and here: | David J. Wales and Harold A. Scheraga | `Global Optimization of Clusters, Crystals, and Biomolecules`__ | Science, Vol. **285**, 1368 (1999) __ http://www.sciencemag.org/cgi/content/abstract/sci;285/5432/1368 �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/md.rst����������������������������������������������������������������0000644�0001754�0001754�00000034524�11571563644�015673� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������================== Molecular dynamics ================== .. module:: md :synopsis: Molecular Dynamics Typical computer simulations involve moving the atoms around, either to optimize a structure (energy minimization) or to do molecular dynamics. This chapter discusses molecular dynamics, energy minimization algorithms will be discussed in the :mod:`optimize` section. A molecular dynamics object will operate on the atoms by moving them according to their forces - it integrates Newton's second law numerically. A typical molecular dynamics simulation will use the `Velocity Verlet dynamics`_. You create the :class:`VelocityVerlet` object, giving it the atoms and a time step, and then you perform dynamics by calling its :meth:`run` method:: dyn = VelocityVerlet(atoms, 5.0 * units.fs) dyn.run(1000) # take 1000 steps A number of different algorithms can be used to perform molecular dynamics, with slightly different results. Choosing the time step ====================== All the dynamics objects need a time step. Choosing it too small will waste computer time, choosing it too large will make the dynamics unstable, typically the energy increases dramatically (the system "blows up"). If the time step is only a little to large, the lack of energy conservation is most obvious in `Velocity Verlet dynamics`_, where energy should otherwise be conserved. Experience has shown that 5 femtoseconds is a good choice for most metallic systems. Systems with light atoms (e.g. hydrogen) and/or with strong bonds (carbon) will need a smaller time step. All the dynamics objects documented here are sufficiently related to have the same optimal time step. File output =========== The time evolution of the system can be saved in a trajectory file, by creating a trajectory object, and attaching it to the dynamics object. This is documented in the module :mod:`ase.io.trajectory`. Unlike the geometry optimization classes, the molecular dynamics classes do not support giving a trajectory file name in the constructor. Instead the trajectory must be attached explicitly to the dynamics, and it is *stongly recommended* to use the optional ``interval`` argument, so every time step is not written to the file. Logging ======= A logging mechanism is provided, printing time; total, potential and kinetic energy; and temperature (calculated from the kinetic energy). It is enabled by giving the ``logfile`` argument when the dynamics object is created, ``logfile`` may be an open file, a filename or the string '-' meaning standard output. Per default, a line is printed for each timestep, specifying the ``loginterval`` argument will chance this to a more reasonable frequency. The logging can be customized by explicitly attaching a :class:`ase.md.MDLogger` object to the dynamics:: from ase.md import MDLogger dyn = VelocityVerlet(atoms, dt=2*ase.units.fs) dyn.attach(MDLogger(dyn, atoms, 'md.log', header=False, stress=False, peratom=True, mode="a"), interval=1000) This example will skip the header line and write energies per atom instead of total energies. The parameters are ``header``: Print a header line defining the columns. ``stress``: Print the six components of the stress tensor. ``peratom``: Print energy per atom instead of total energy. ``mode``: If 'a', append to existing file, if 'w' overwrite existing file. Despite appearances, attaching a logger like this does *not* create a cyclic reference to the dynamics. .. note:: If building your own logging class, be sure not to attach the dynamics object directly to the logging object. Instead, create a weak reference using the ``proxy`` method of the ``weakref`` package. See the `ase.md.MDLogger` source code for an example. (If this is not done, a cyclic reference may be created which can cause certain calculators, such as Jacapo, to not terminate correctly.) Constant NVE simulations (the microcanonical ensemble) ====================================================== Newton's second law preserves the total energy of the system, and a straightforward integration of Newton's second law therefore leads to simulations preserving the total energy of the system (E), the number of atoms (N) and the volume of the system (V). The most appropriate algorithm for doing this is velocity Verlet dynamics, since it gives very good long-term stability of the total energy even with quite large time steps. Fancier algorithms such as Runge-Kutta may give very good short-term energy preservation, but at the price of a slow drift in energy over longer timescales, causing trouble for long simulations. In a typical NVE simulation, the temperature will remain approximately constant, but if significant structural changes occurs they may result in temperature changes. If external work is done on the system, the temperature is likely to rise significantly. Velocity Verlet dynamics ------------------------ .. module:: md.verlet .. class:: VelocityVerlet(atoms, timestep) ``VelocityVerlet`` is the only dynamics implementing the NVE ensemble. It requires two arguments, the atoms and the time step. Choosing a too large time step will immediately be obvious, as the energy will increase with time, often very rapidly. Example: See the tutorial :ref:`md_tutorial`. Constant NVT simulations (the canonical ensemble) ================================================= Since Newton's second law conserves energy and not temperature, simulations at constant temperature will somehow involve coupling the system to a heat bath. This cannot help being somewhat artificial. Two different approaches are possible within ASE. In Langevin dynamics, each atom is coupled to a heat bath through a fluctuating force and a friction term. In Nosé-Hoover dynamics, a term representing the heat bath through a single degree of freedom is introduced into the Hamiltonian. Langevin dynamics ----------------- .. module:: md.langevin .. class:: Langevin(atoms, timestep, temperature, friction) The Langevin class implements Langevin dynamics, where a (small) friction term and a fluctuating force are added to Newton's second law which is then integrated numerically. The temperature of the heat bath and magnitude of the friction is specified by the user, the amplitude of the fluctuating force is then calculated to give that temperature. This procedure has some physical justification: in a real metal the atoms are (weakly) coupled to the electron gas, and the electron gas therefore acts like a heat bath for the atoms. If heat is produced locally, the atoms locally get a temperature that is higher than the temperature of the electrons, heat is transferred to the electrons and then rapidly transported away by them. A Langevin equation is probably a reasonable model for this process. A disadvantage of using Langevin dynamics is that if significant heat is produced in the simulation, then the temperature will stabilize at a value higher than the specified temperature of the heat bath, since a temperature difference between the system and the heat bath is necessary to get a finite heat flow. Another disadvantage is that the fluctuating force is stochastic in nature, so repeating the simulation will not give exactly the same trajectory. When the ``Langevin`` object is created, you must specify a time step, a temperature (in energy units) and a friction. Typical values for the friction are 0.01-0.02 atomic units. :: # Room temperature simulation dyn = Langevin(atoms, 5 * units.fs, units.kB * 300, 0.002) Both the friction and the temperature can be replaced with arrays giving per-atom values. This is mostly useful for the friction, where one can choose a rather high friction near the boundaries, and set it to zero in the part of the system where the phenomenon being studied is located. Nosé-Hoover dynamics -------------------- In Nosé-Hoover dynamics, an extra term is added to the Hamiltonian representing the coupling to the heat bath. From a pragmatic point of view one can regard Nosé-Hoover dynamics as adding a friction term to Newton's second law, but dynamically changing the friction coefficient to move the system towards the desired temperature. Typically the "friction coefficient" will fluctuate around zero. Nosé-Hoover dynamics is not implemented as a separate class, but is a special case of NPT dynamics. Berendsen NVT dynamics ----------------------- .. module:: md.nvtberendsen .. class:: NVTBerendsen(atoms, timestep, temperature, taut, fixcm) In Berendsen NVT simulations the velocities are scaled to achieve the desired temperature. The speed of the scaling is determined by the parameter taut. This method does not result proper NVT sampling but it usually is sufficiently good in practise (with large taut). For discussion see the gromacs manual at www.gromacs.org. *atoms*: The list of atoms. *timestep*: The time step. *temperature*: The desired temperature, in Kelvin. *taut*: Time constant for Berendsen temperature coupling. *fixcm*: If True, the position and momentum of the center of mass is kept unperturbed. Default: True. :: # Room temperature simulation (300K, 0.1 fs time step) dyn = NVTBerendsen(atoms, 0.1 * units.fs, 300, taut=0.5*1000*units.fs) Constant NPT simulations (the isothermal-isobaric ensemble) =========================================================== .. module:: md.npt .. class:: NPT(atoms, timestep, temperature, externalstress, ttime, pfactor, mask=None) Dynamics with constant pressure (or optionally, constant stress) and constant temperature (NPT or N,stress,T ensemble). It uses the combination of Nosé-Hoover and Parrinello-Rahman dynamics proposed by Melchionna et al. [1] and later modified by Melchionna [2]. The differential equations are integrated using a centered difference method [3]. Details of the implementation are available in the document XXX NPTdynamics.tex, distributed with the module. The dynamics object is called with the following parameters: *atoms*: The atoms object. *timestep*: The timestep in units matching eV, Ã…, u. Use the *units.fs* constant. *temperature*: The desired temperature in eV. *externalstress*: The external stress in eV/Ã…^3. Either a symmetric 3x3 tensor, a 6-vector representing the same, or a scalar representing the pressure. Note that the stress is positive in tension whereas the pressure is positive in compression: giving a scalar p is equivalent to giving the tensor (-p. -p, -p, 0, 0, 0). *ttime*: Characteristic timescale of the thermostat. Set to None to disable the thermostat. *pfactor*: A constant in the barostat differential equation. If a characteristic barostat timescale of ptime is desired, set pfactor to ptime^2 * B (where B is the Bulk Modulus). Set to None to disable the barostat. Typical metallic bulk moduli are of the order of 100 GPa or 0.6 eV/Ã…^3. *mask=None*: Optional argument. A tuple of three integers (0 or 1), indicating if the system can change size along the three Cartesian axes. Set to (1,1,1) or None to allow a fully flexible computational box. Set to (1,1,0) to disallow elongations along the z-axis etc. Useful parameter values: * The same *timestep* can be used as in Verlet dynamics, i.e. 5 fs is fine for bulk copper. * The *ttime* and *pfactor* are quite critical[4], too small values may cause instabilites and/or wrong fluctuations in T / p. Too large values cause an oscillation which is slow to die. Good values for the characteristic times seem to be 25 fs for *ttime*, and 75 fs for *ptime* (used to calculate pfactor), at least for bulk copper with 15000-200000 atoms. But this is not well tested, it is IMPORTANT to monitor the temperature and stress/pressure fluctuations. It has the following methods: .. method:: NPT.run(n): Perform n timesteps. .. method:: NPT.initialize(): Estimates the dynamic variables for time=-1 to start the algorithm. This is automatically called before the first timestep. .. method:: NPT.set_stress(): Set the external stress. Use with care. It is preferable to set the right value when creating the object. .. method:: NPT.set_mask(): Change the mask. Use with care, as you may "freeze" a fluctuation in the strain rate. .. method:: NPT.set_strainrate(eps): Set the strain rate. ``eps`` must be an upper-triangular matrix. If you set a strain rate along a direction that is "masked out" (see ``set_mask``), the strain rate along that direction will be maintained constantly. .. method:: NPT.get_gibbs_free_energy(): Gibbs free energy is supposed to be preserved by this dynamics. This is mainly intended as a diagnostic tool. References: [1] S. Melchionna, G. Ciccotti and B. L. Holian, Molecular Physics 78, p. 533 (1993). [2] S. Melchionna, Physical Review E 61, p. 6165 (2000). [3] B. L. Holian, A. J. De Groot, W. G. Hoover, and C. G. Hoover, Physical Review A 41, p. 4552 (1990). [4] F. D. Di Tolla and M. Ronchetti, Physical Review E 48, p. 1726 (1993). .. seealso:: The :term:`API` documentation: :epydoc:`ase.md` Berendsen NPT dynamics ----------------------- .. module:: md.nptberendsen .. class:: NPTBerendsen(atoms, timestep, temperature, taut, fixcm, pressure, taup,compressibility) In Berendsen NPT simulations the velocities are scaled to achieve the desired temperature. The speed of the scaling is determined by the parameter taut. The atom positions and the simulation cell are scaled in order to achieve the desired pressure. This method does not result proper NPT sampling but it usually is sufficiently good in practise (with large taut and taup). For discussion see the gromacs manual at www.gromacs.org. or amber at ambermd.org *atoms*: The list of atoms. *timestep*: The time step. *temperature*: The desired temperature, in Kelvin. *taut*: Time constant for Berendsen temperature coupling. *fixcm*: If True, the position and momentum of the center of mass is kept unperturbed. Default: True. *pressure*: The desired pressure, in bar (1 bar = 1e5 Pa). *taup*: Time constant for Berendsen pressure coupling. *compressibility*: The compressibility of the material, water 4.57E-5 bar-1, in bar-1 :: # Room temperature simulation (300K, 0.1 fs time step, atmospheric pressure) dyn = NPTBerendsen(atoms, timestep=0.1*units.fs, temperature=300, taut=0.1*1000*units.fs, pressure = 1.01325, taup=1.0*1000*units.fs, compressibility=4.57e-5) ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/visualize.rst���������������������������������������������������������0000644�0001754�0001754�00000011277�11267133007�017272� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: visualize Visualization ============= .. function:: view(atoms, data=None, viewer=None, repeat=None) This provides an interface to various visualization tools, such as :mod:`ase.gui `, :mod:`ase.visualize.vtk `, RasMol_, VMD_, VTK_, gOpenMol_, or Avogadro_. The default viewer is the ase.gui, described in the :mod:`gui` module. The simplest invocation is:: >>> from ase import view >>> view(atoms) where ``atoms`` is any :class:`Atoms` object. Alternative viewers can be used by specifying the optional keyword ``viewer=...`` - use one of 'ase.gui', 'gopenmol', 'vmd', or 'rasmol'. The VMD and Avogadro viewers can take an optional ``data`` argument to show 3D data, such as charge density:: >>> view(atoms, viewer='VMD', data=array) If you do not wish to open an interactive gui, but rather visualize your structure by dumping directly to a graphics file; you can use the ``write`` command of the :mod:`io` module, which can write 'eps', 'png', and 'pov' files directly, like this:: >>> write('image.png', atoms) .. _RasMol: http://openrasmol.org/ .. _VMD: http://www.ks.uiuc.edu/Research/vmd/ .. _VTK: http://www.vtk.org/VTK/project/about.html .. _gOpenMol: http://www.csc.fi/gopenmol/ .. _Avogadro: http://avogadro.openmolecules.net/ VTK ------------ .. module:: visualize.vtk The Visualization Toolkit (VTK_) is a powerful platform-independent graphics engine, which comes as an open source graphics toolkit licensed under the `BSD license`_. It is available for a wide range of programming languages, including easily scriptable interfaces in Python and Tcl_. .. _BSD license: http://en.wikipedia.org/wiki/BSD_licenses .. _Tcl: http://www.tcl.tk/about In the scientific community, VTK is used by thousands of researchers and developers for 3D computer graphics, image processing, and visualization. VTK includes a suite of 3D interaction widgets within the development framework for information visualization, integrating GUI toolkits such as Qt_ and Tk_ into a highly flexible design platform. For visualization purposes within ASE, two different VTK-approaches are supported, namely: :Scripted on-the-fly rendering: ASE includes VTK-scripting for easy data visualization using the :mod:`vtk` module. Development is in progress, so you might want to check out the latest development release from SVN (see :ref:`latest_development_release`). :Interactive rendering: MayaVi_ is an easy-to-use GUI for VTK. With Enthought's traits-based VTK-wrapper (TVTK_), constructing VTK pipelines has been simplified greatly by introducing three basic concepts: data sources, filters and visualization modules. MayaVi also supports the VTK file formats, including the flexible VTK XML, which in ASE can be used to export atomic positions, forces and volume data using the ``write`` command in the :mod:`io` module. .. XXX - `VTK Designer`_ is a visual editor for creating and editing VTK pipelines. .. _Qt: http://www.qtsoftware.com/products .. _Tk: http://www.tcl.tk/about .. _VTK Designer: http://www.vcreatelogic.com/oss/vtkdesigner .. _MayaVi: http://code.enthought.com/projects/mayavi .. _TVTK: https://svn.enthought.com/enthought/wiki/TVTK A key feature of VTK is the inherent ability to use MPI_ for parallel rending, which is provided with built-in parallel composite rendering objects to handle domain decomposition and subsequent recombination of the raster information. This is particularly useful for non-interactive ray tracing, batch isosurface generation and in-situ visualization of simulation data in cluster computing. .. seealso:: ParaView_ is a VTK-based open-source, multi-platform data analysis and visualization application for extremely large data-sets using distributed memory computing resources and parallel rendering through MPI_. .. _MPI: http://www.mpi-forum.org .. _ParaView: http://www.paraview.org PrimiPlotter ------------ The PrimiPlotter is intended to do on-the-fly plotting of the positions of the atoms during long molecular dynamics simulations. The module :mod:`ase.visualize.primiplotter` contains the PrimiPlotter and the various output modules, see below. .. autoclass:: ase.visualize.primiplotter.PrimiPlotter :inherited-members: FieldPlotter ------------ The FieldPlotter is intended to plot fields defined on the atoms in large-scale simulations. The fields could be e.g. pressure, stress or temperature (kinetic energy), i.e. any quantity that in a given simulation is best defined on a per-atom basis, but is best interpreted as a continuum field. The current version of FieldPlotter only works if the number of atoms is at least 5-10 times larger than the number of pixels in the plot. .. autoclass:: ase.visualize.fieldplotter.FieldPlotter :inherited-members: ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/general_surface.tex���������������������������������������������������0000644�0001754�0001754�00000061406�11645062404�020375� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������\documentclass[11pt]{article} % use larger type; default would be 10pt \usepackage[utf8]{inputenc} % set input encoding (not needed with XeLaTeX) \usepackage{graphicx} % support the \includegraphics command and options \usepackage{color} \usepackage{array} % for better arrays (eg matrices) in maths \usepackage{verbatim} % adds environment for commenting out blocks of text & fo \title{Theory and implementation behind: \\Universal surface creation - smallest unitcell} \author{Bjarke Brink Buus, Jakob Howalt \& Thomas Bligaard} \begin{document} \maketitle \section{Construction of surface slabs} The aim for this part of the project is to create all possible surfaces with a given Miller Indice and the conventional bulk structure. In this section, the theory behind the construction of surface slabs will be outlined and from this fundament an implementation has been developed in Python. This implementation, will be able to create any surface for any type of structure including following common bulk structures - the simple cubic unit cell, the body centered cubic unit cell, the face centered cubic unit cell and the hexagonal close packed unit cell. %TODO skal dette med: The theory and implementation, however, should work for any unit cell. %In this implementation, we will consider all three cases of bulk structures - the body centered cubic unit cell (bcc), the face centered cubic unit cell (ffc) and the hexagonal close packed unit cell (hcp). \subsection{Theory} By introducing both the real and the reciprocal lattice spaces most pieces of the puzzle of creating any surface is derived. In addition some integer mathmatics will be used. \subsubsection{Real lattice space} First, we will start by defining the system in real space. We have three basis vectors that span the crystal lattice in the conventional unit cell ($\vec{a}_1,\vec{a}_2,\vec{a}_3$). These three vectors do not have to be orthogonal and the procedure will therefore also work for hcp structures. Additionally, the lengths of the vectors will not in all cases be the same, so the theoretical approach to this problem, will involve three independent lengths. For most bulk structures there will only be one or two different lattice constants determining the unit cell due to symmetry, for instance the L10 and L12 alloys as mentioned in section XXX method XXX. The unit cell can be seen in drawing 1 with the lengths and directions. \setlength{\unitlength}{2.5cm} \begin{picture}(1,1)(-0.65,0.05) \thicklines \put(0.1,0.1){\line(0,1){0.7}} \put(0.1,0.1){\line(1,0){0.7}} \put(0.1,0.8){\line(1,0){0.7}} \put(0.8,0.1){\line(0,1){0.7}} \put(0.8,0.1){\line(4,1){0.4}} \put(0.1,0.8){\line(4,1){0.4}} \put(0.8,0.8){\line(4,1){0.4}} \put(0.5,0.9){\line(1,0){0.7}} \put(1.2,0.2){\line(0,1){0.7}} \put(2.45,0.4){\vector(0,1){0.3}} \put(2.45,0.4){\vector(1,0){0.3}} \put(2.45,0.4){\vector(-4,-1){0.2}} \put(2.4,0.75){$\vec{a}_3$} \put(2.1,0.32){$\vec{a}_1$} \put(2.8,0.35){$\vec{a}_2$} \thinlines \put(1.235,0.5){$a_3$} \put(0.45,0.0){$a_2$} \put(1.02,0.06){$a_1$} \put(0.5,0.2){\line(1,0){0.7}} \put(0.5,0.2){\line(0,1){0.7}} \put(0.1,0.1){\line(4,1){0.4}} \end{picture}\\ Drawing 1: \textit{This drawing shows the basis vectors and sizes for the system.}\\ A surface is defined by its Miller Indice (h,k,l), where $h$, $k$ and $l$ all are integers, which in real space can be described by the crystal planes that are parallel to the plane that intersects the basis vectors ($\vec{a}_1,\vec{a}_2,\vec{a}_3$) at \begin{eqnarray} \frac{1}{h}\vec{a}_1, \ \frac{1}{k}\vec{a}_2, \ \frac{1}{l}\vec{a}_3. \nonumber \end{eqnarray} The Miller Indices are used for all four types of structures sc, bcc, fcc and hcp. In case of one or more of the Miller Indice (h,k,l) is zero, the plane does not intersect with the corresponding axis. For instance, if k is equal to zero, the normal vector to the plane, defined by (h,0,l), will be orthogonal to $\vec{a}_2$. A (0,0,0) Miller Indice is unphysical and hence will not be included in the theory section, however a part of the implementation code will notify the user that the chosen surface is not possible to create. \\ %Normally, a plane can be defined as $b_1 x + b_2 y + b_3 z = d$. Here the normal vector will be ($b_1,b_2,b_3$) and $d$ will be a constant. If a point ($x_0,y_0,z_0$) in the plane is known, $d$ will equal to %\begin{eqnarray} %d = b_1 x_0 + b_2 y_0 + b_3 z_0 \nonumber %\end{eqnarray} \subsubsection{Reciprocal lattice space} For the full understanding of the lattice construction, it is very usefull to introduce the reciprocal vector space. The basis vectors in the reciprocal lattice space are given by, \begin{eqnarray} \vec{b}_1 = \frac{\vec{a}_2 \times \vec{a}_3}{\vec{a}_1 \cdot (\vec{a}_2 \times \vec{a}_3)}, \ \vec{b}_2 = \frac{\vec{a}_3 \times \vec{a}_1}{\vec{a}_2 \cdot (\vec{a}_3 \times \vec{a}_1)}, \ \vec{b}_3 = \frac{\vec{a}_1 \times \vec{a}_2}{\vec{a}_3 \cdot (\vec{a}_1 \times \vec{a}_2)} \end{eqnarray} % The geometry of the three reciprocal lattice vectors is as follows, $\vec{b}_1$ is orthogonal with both $\vec{a}_2$ and $\vec{a}_3$, because of the cross product in the construction of $\vec{b}_1$. The same follows for the other reciprocal lattice vectors, $\vec{b}_2 \ \perp \ (\vec{a}_1, \ \vec{a}_3)$ and $\vec{b}_3 \ \perp \ (\vec{a}_1, \ \vec{a}_2)$. In a more compact form, this can be written as \begin{eqnarray} \vec{a}_i \cdot \vec{b}_j = \delta_{ij} \label{orthogonality} \end{eqnarray} When introducing the reciprocal lattice vectors, the normal vector for a given surface plane with the Miller Indices (hkl) is given by \begin{eqnarray} \vec{n} = h \vec{b}_1 + k \vec{b}_2 + l \vec{b}_3 \label{hklnormalvector} \end{eqnarray} \setlength{\unitlength}{4.4cm} \begin{picture}(2,1.2) \thicklines \put(0.04,0.04){\line(0,1){0.64}} \put(0.04,0.04){\line(1,0){0.765}} \put(0.805,0.04){\line(0,1){0.64}} \put(0.04,0.68){\line(1,0){0.765}} \put(0.04,0.36){\line(1,0){0.765}} \put(0.4225,0.04){\line(0,1){0.64}} \put(1.002,0.2){\line(0,1){0.64}} \put(0.24,0.84){\line(1,0){0.765}} \put(0.805,0.04){\line(5,4){0.195}} \put(0.805,0.68){\line(5,4){0.195}} \put(0.805,0.36){\line(5,4){0.195}} \put(0.04,0.68){\line(5,4){0.195}} \put(0.4225,0.68){\line(5,4){0.195}} \thinlines \put(0.24,0.52){\line(1,0){0.765}} \put(0.04,0.36){\line(5,4){0.2}} \put(0.4225,0.36){\line(5,4){0.2}} \put(0.4225,0.04){\line(5,4){0.2}} \put(0.24,0.2){\line(1,0){0.765}} \put(0.24,0.2){\line(0,1){0.64}} \put(0.04,0.04){\line(5,4){0.2}} \put(0.6175,0.20){\line(0,1){0.64}} \thicklines \color{red} \put(0.04,0.04){\line(1,4){0.2}} \put(0.24,0.84){\line(6,-5){0.762}} \put(0.04,0.04){\line(6,1){0.962}} \color{black} \put(0.085,0.535){$\vec{t}_3$} \put(0.70,0.07){$\vec{t}_1$} \put(0.55,0.6){$\vec{t}_2$} \thinlines \put(1.2,0.68){\line(1,0){0.765}} \put(1.002,0.52){\line(5,4){0.2}} \put(1.3845,0.52){\line(5,4){0.2}} \put(1.3845,0.2){\line(5,4){0.2}} \put(1.202,0.36){\line(1,0){0.765}} \put(1.2,0.36){\line(0,1){0.64}} \put(1.002,0.2){\line(5,4){0.2}} \put(1.5852,0.360){\line(0,1){0.64}} \thicklines \color{red} \thinlines \put(0.24,0.84){\line(6,1){0.962}} \put(1.002,0.2){\line(1,4){0.2}} \put(1.202,1){\line(6,-5){0.762}} \put(1.002,0.2){\line(6,1){0.962}} \color{black} \thicklines \thinlines \put(0.44,0.68){\line(1,0){0.765}} \put(0.24,0.52){\line(5,4){0.195}} \put(0.6225,0.52){\line(5,4){0.195}} \put(0.6225,0.2){\line(5,4){0.195}} \put(0.44,0.36){\line(1,0){0.765}} \put(0.44,0.36){\line(0,1){0.64}} \put(0.24,0.2){\line(5,4){0.195}} \put(0.8175,0.36){\line(0,1){0.64}} \thicklines \put(0.04,0.04){\line(0,1){0.64}} \put(0.04,0.04){\line(1,0){0.765}} \put(0.805,0.04){\line(0,1){0.64}} \put(0.04,0.68){\line(1,0){0.765}} \put(1.002,0.2){\line(1,0){0.765}} \put(1.765,0.2){\line(0,1){0.64}} \put(1.002,0.84){\line(1,0){0.765}} \put(1.002,0.52){\line(1,0){0.765}} \put(1.3845,0.2){\line(0,1){0.64}} \put(1.964,0.36){\line(0,1){0.64}} \put(1.2,1.0){\line(1,0){0.765}} \put(1.765,0.2){\line(5,4){0.195}} \put(1.765,0.84){\line(5,4){0.195}} \put(1.765,0.52){\line(5,4){0.195}} \put(1.002,0.84){\line(5,4){0.195}} \put(1.3845,0.84){\line(5,4){0.195}} \put(0.04,0.36){\line(1,0){0.765}} \put(0.4225,0.04){\line(0,1){0.64}} \put(1.002,0.2){\line(0,1){0.64}} \put(0.44,1){\line(1,0){0.765}} \put(0.805,0.04){\line(5,4){0.195}} \put(0.805,0.68){\line(5,4){0.195}} \put(0.805,0.36){\line(5,4){0.195}} \put(0.24,0.84){\line(5,4){0.195}} \put(0.6225,0.84){\line(5,4){0.195}} \put(2.3,0.4){\vector(0,1){0.3}} \put(2.3,0.4){\vector(1,0){0.3}} \put(2.3,0.4){\line(-5,-4){0.15}} \put(2.155,0.2847){\vector(-1,-1){0.025}} \put(2.25,0.75){$\vec{a}_3$} \put(2.05,0.26){$\vec{a}_1$} \put(2.63,0.35){$\vec{a}_2$} \label{unik} \end{picture} \setlength{\unitlength}{4cm} \begin{picture}(2,1.2)(-0.65,0.05) \put(1.5,0.4){\vector(0,1){0.3}} \put(1.5,0.4){\vector(1,0){0.3}} \put(1.5,0.4){\line(-5,-4){0.15}} \put(1.355,0.2847){\vector(-1,-1){0.025}} \put(1.45,0.75){$\vec{a}_3$} \put(1.2,0.32){$\vec{a}_1$} \put(1.9,0.35){$\vec{a}_2$} \end{picture} Drawing 2: \textit{This drawing shows a surface with Miller Indices (2,1,1). The repetition of a lattice point is shown, and the vectors spanning this surface can be found. }\\ Furthermore, a desired surface with a normal vector $\vec{n}$, drawing 2 shows that for a set of non-zero Miller indices, three vectors, will be noted $\vec{t}_{1,2,3}$, in the plane can easily be found. Two vectors, linearly independent ofcourse, created by a linear combination of the vectors $\vec{t}_{1,2,3}$, can span the desired surface. These vectors are given by \begin{eqnarray} \vec{t}_1 = -\frac{1}{h}\vec{a}_1+\frac{1}{k}\vec{a}_2 ,\vec{t}_2 = \frac{1}{k}\vec{a}_2 - \frac{1}{l}\vec{a}_3, \vec{t}_3 = \frac{1}{h}\vec{a}_1 - \frac{1}{l}\vec{a}_3 \nonumber \end{eqnarray} but it should be noted that the anti-parallel versions of $\vec{t}_{1,2,3}$ also can be used. Since $h$, $k$ and $l$ all are integers, we can multiply with the product $hkl$ and divide with the indice, which will be common for each of the lattice vectors, $\vec{a}_i$, with respect to both of the lattice vectors $\vec{a}_i$, so a new set of vectors end up being, \begin{eqnarray} \vec{t}_1 = k\vec{a}_1-h\vec{a}_2 ,\ \vec{t}_2 = l\vec{a}_1 - h\vec{a}_3, \ \vec{t}_3 = l\vec{a}_2 - k\vec{a}_3 \end{eqnarray} For the special cases of two of the Miller Indices being zero, it is a very straightforward, to see that the appropiate vectors to span the normal vector, will be the corresponding basis vectors in real space. If for instance, h and k both are zero, it will result in a choice of $\vec{v}_1$ $=$ $\vec{a}_1$ and $\vec{v}_2$ $=$ $\vec{a}_2$. \subsubsection{Determination of the two surface vectors} Having introduced the real space and the reciprocal space, most of the theory is available and hence the determination of the two vectors that span the surface with respect to a given Miller Indice is possible. The simple lattice points $r_{i,j,m}$ are placed at $\vec{r}_{i,j,m} = i\vec{a}_1+j\vec{a}_2+k\vec{a}_3$ where $\ i,j,m$ all are integers. Because of the arrangement of the lattice points, not all surface planes will go through these points. The dot product between the normal vector $\vec{n}$ and the lattice points $\vec{r}_{i,j,m}$ gives, \begin{eqnarray} hi+kj+lm = d \nonumber \end{eqnarray} and since all constants are integers, $d$ must also be an integer and therefore the values of $d$ has been quantized. This equation is a 'Linear Diophantine Equation' and the smallest $d$ for which there exist an non-zero solution ($i,j,m$) when ($h,k,l$) are non-zero is, accordingly to 'Bezouts Identity', when $d$ is the smallest common divisor of $h$, $k$, and $l$. If one or two of the Miller Indices is zero, the identity is true, but only when choosing the largest common divisor for the non-zero parts of ($h,k,l$). If a Miller indice has a common divisor $e >$ 1, the non-zero components of the Miller Indice can then be reduced with $\frac{1}{e}(h,k,l)$, and still define the same surface. \\ A solution will therefore exist for \begin{eqnarray} hi+kj+lm = d \end{eqnarray} and because of the reduction of the normal vector, the value for $d$ will be $\pm$1. The two surface vectors, must obey the fact that they are orthogonal with respect to the normal vector $\vec{n}$, \begin{eqnarray} \vec{v}_{1,2} \cdot \vec{n} = 0. \label{skalarnul} \end{eqnarray} Because of this, the cross product between the two surface vectors $\vec{v}_1$ and $\vec{v}_2$ must give a constant times the normal vector $\vec{n}$. The constant must be as small as possible, still non zero, because the area spanned by $\vec{v}_1$ and $\vec{v}_2$ is equal to the length of the cross product. And since the new normal vector is the smallest possible, the constant must be $\pm 1$. \\ Consider a choice of the two surface vectors, $\vec{t}_1$ and $\vec{t}_3$. They will both fullfil equation \ref{skalarnul}, however the crossproduct between $\vec{t}_1$ and $\vec{t}_3$ will be, \begin{eqnarray} \vec{t}_1 \times \vec{t}_3 = \left( \begin{array}{c} k \\ - h \\ 0 \end{array} \right) \times \left( \begin{array}{c} 0 \\ l \\ -k \end{array} \right) = \left( \begin{array}{c} kh \\ k^2 \\ kl \end{array} \right) = k \left( \begin{array}{c} h \\ k \\ l \end{array} \right).\nonumber \end{eqnarray} Unless the size of $k$ is $\pm 1$, the size of the surface area spanned by $\vec{t}_1$ and $\vec{t}_3$ will be too big. It is therefore crucial to introduce a completely new linear combination of the three vectors $\vec{t}_1$, $\vec{t}_2$ and $\vec{t}_3$. A linear combination of $\vec{t}_1$ and $\vec{t}_2$ fullfill the same requirements when $p$ and $q$ are integers in %new way of combining these vectors is presented and it is also shown that this combination fullfil the previous requirements. \begin{eqnarray} \left( p \left( \begin{array}{c} k \\ -h \\ 0 \end{array} \right) + q \left( \begin{array}{c} l \\ 0 \\ -h \end{array} \right) \right) \times \left( \begin{array}{c} 0 \\ l \\ -k \end{array} \right) \Rightarrow (pk + ql) \left( \begin{array}{c} h \\ k \\ l \end{array} \right) = \left( \begin{array}{c} h \\ k \\ l \end{array} \right) \label{hkldependency} \end{eqnarray} This leaves a more simple equation to solve, \begin{eqnarray} (pk + ql) = 1 \label{EquationFromTheory} \end{eqnarray} The solution to this equation can be found using the Extended Euclidean Algorithm to determine the unknowns integers, $p$ and $q$. The two new vectors, which span the surface are described \begin{eqnarray} \vec{v}_1 = p \left( \begin{array}{c} k\vec{a}_1 \\ - h \vec{a}_2 \\ 0 \end{array} \right) + q \left( \begin{array}{c} l \vec{a}_1 \\ 0 \\ - h \vec{a}_3 \end{array} \right), \ \vec{v}_2 = \left( \begin{array}{c} 0 \\ l\vec{a}_2 \\ -k\vec{a}_3 \end{array} \right) \label{v2formalism} \end{eqnarray} However, there are infinite possible solutions for $p$ and $q$ but some of the solutions are better than others, in relation to visualizing the surface. Therefore another criteria is implemented. The closer to being orthogonal the surface vectors are, the easier it becomes to apply adsorbates onto the the surface. The procedure for this will be explained in section \ref{implementation}, but the theory will be explained here. The solution for $p$ and $q$ can be chosen to accomodate this with respect to an integer, $c$, by \begin{eqnarray} \vec{v}_1 = (p+cl)\left( \begin{array}{c} k\vec{a}_1 \\ - h \vec{a}_2 \\ 0 \end{array} \right) + (q-ck)\left( \begin{array}{c} l \vec{a}_1 \\ 0 \\ - h \vec{a}_3 \end{array} \right) \label{v1formalism} \end{eqnarray} This change of vector $\vec{v}_1$, does not change the crossproduct between $\vec{v}_1$ and $\vec{v}_2$, as shown in equation \ref{hkldependency}, because the cross product between the changes and $\vec{v}_2$ is zero. This is shown below \begin{eqnarray} \left(cl \left( \begin{array}{c} k\vec{a}_1 \\ - h \vec{a}_2 \\ 0 \end{array} \right) - ck\left( \begin{array}{c} l \vec{a}_1 \\ 0 \\ - h \vec{a}_3 \end{array} \right) \right) \times \left( \begin{array}{c} 0 \\ l\vec{a}_2 \\ -k\vec{a}_3 \end{array} \right) & = & \nonumber \\ \left( ckl \left( \begin{array}{c} h \\ k \\ l \end{array} \right) - ckl\left( \begin{array}{c} h \\ k \\ l \end{array} \right) \right) & = & 0 \end{eqnarray} This change of $\vec{v}_1$ results in an algorithm, which will be presented later, to determine the most appropriate choice of vectors. \subsubsection{Finding the 3$^{rd}$ vector for the new unit cell} After determining the two vectors spanning the surface ($\vec{v}_1,\vec{v}_2$), the third basis vector($\vec{v}_3$) of the surface slab can be found. This vector does not need to be orthogonal to the two surface vectors. The vector will go from one lattice point to its repeated lattice point another place in the structure. This means that the same contraints apply to this vector as for $\vec{v}_1$ and $\vec{v}_2$, but some additional constraints will be added. The vector will have to be an integer linear combination of the three original lattice vectors ($\vec{a}_1, \vec{a}_2, \vec{a}_3$) and have the coordinates ($i_3\vec{a}_1,j_3\vec{a}_2,m_3\vec{a}_3$). In addition $\vec{v}_3$ cannot be orthogonal to the surface normal, so $\vec{v}_3\cdot\vec{n}\neq 0$. \\ To find the integers $i_3, j_3$ and $m_3$ by calculating the dot product using normalvector of the surface from equation \ref{hklnormalvector}, and the definitions of the reciprocal vectors ($\vec{b}_1,\vec{b}_2,\vec{b}_3$): \begin{eqnarray} \vec{n} \cdot \vec{v}_3 & = (h \vec{b}_1 + k \vec{b}_2 + l \vec{b}_3 ) \cdot (i_3\vec{a}_1 + j_3\vec{a}_2 + m_3\vec{a}_3) \nonumber \\ & = hi_3+kj_3+lm_3 = d \label{vdotn}, \end{eqnarray} where d must be a non-zero integer because all of $h,k,l,i_3,j_3$ and $m_3$ are integers. It will now be shown that $d = 1$.\\ Defining the volume of the conventional unit cell to be V spanned by the conventional basis $\vec{a}_1, \vec{a}_2$ and $\vec{a}_3$. \begin{eqnarray} V = (\vec{a}_1 \times \vec{a}_2) \cdot \vec{a}_3 \end{eqnarray} and rewriting of the three reciprocal vectors to the following form \begin{eqnarray} V\vec{b}_1 = \vec{a}_2 \times \vec{a}_3, \ V\vec{b}_2 = \vec{a}_3 \times \vec{a}_1, \ V\vec{b}_3 = \vec{a}_1 \times \vec{a}_2. \end{eqnarray} will ease the calculations, and with all the pieces set, a determination of the value of $d$ is possible. The volume of the cell spanned by ($\vec{v}_1,\vec{v}_2,\vec{v}_3$) is presented below, where the constants ($i$,$j$,$m$)$_{1,2}$ refer to the constants defined by the formalism used for $\vec{v}_1$, equation \ref{v1formalism}, and for $\vec{v}_2$, equation \ref{v2formalism}. \begin{eqnarray} V = & \vec{v}_3 \cdot (\vec{v}_1 \times \vec{v}_2) = \vec{v}_3 \cdot \left\lbrace ( i_1\vec{a}_1+j_1\vec{a}_2+m_1\vec{a}_3) \times ( i_2\vec{a}_1+j_2\vec{a}_2+m_2\vec{a}_3) \right\rbrace \nonumber \\ = & \vec{v}_3 \cdot \left\lbrace i_1 j_2 \vec{a}_1 \times \vec{a}_2 + i_1 m_2 \vec{a}_1 \times \vec{a}_3 + j_1 i_2 \vec{a}_2 \times \vec{a}_1 + j_1 m_2 \vec{a}_2 \times \vec{a}_3 \right\rbrace \nonumber \\ & + \vec{v}_3 \cdot \left\lbrace m_1 i_2 \vec{a}_3 \times \vec{a}_1 + m_1 j_2 \vec{a}_3 \times \vec{a}_2 \right\rbrace \nonumber \\ = & V\vec{v}_3 \cdot \left\lbrace i_1 j_2 \vec{b}_3 - i_1 m_2 \vec{b}_2 - j_1 i_2 \vec{b}_3 + j_1 m_2 \vec{b}_1 + m_1 i_2 \vec{b}_2 - m_1 j_2 \vec{b}_1 \right\rbrace \nonumber \\ = & V \vec{v}_3 \cdot \left\lbrace \left(\begin{array}{c} i_1 \\ j_1 \\ m_1 \end{array}\right) \times \left(\begin{array}{c} i_2 \\ j_2 \\ m_2 \end{array}\right) \right\rbrace \cdot \left(\begin{array}{c} \vec{b}_1 \\ \vec{b}_2 \\ \vec{b}_3 \end{array} \right) \end{eqnarray} The cross product between ($i_1, j_1, m_1$) and ($i_2, j_2, m_2$) has been found previously in equation \ref{hkldependency} using the Extended Euclidian Algorithm as ($h,k,l$). Inserting this into the equation \begin{eqnarray} V = V \vec{v}_3 \cdot (h\vec{b}_1+k\vec{b}_2+l\vec{b}_3) = Vd. \end{eqnarray} $d$ is therefore equal to 1. The knowledge of $d$ in equation \ref{vdotn} leads to a new equation to solve, to determine the third vector $\vec{v}_3$. \begin{eqnarray} \vec{n} \cdot \vec{v}_3 & = (h \vec{b}_1 + k \vec{b}_2 + l \vec{b}_3 ) \cdot (i_3\vec{a}_1,j_3\vec{a}_2,m_3\vec{a}_3) \nonumber \\ & = hi_3+kj_3+lm_3 = 1 \label{eq:ext_gcd} \end{eqnarray} This equation can be solved using the Extended Euclidean Algorithm for three variables and therefore the third vector $\vec{v}_3$ is determined. With these three vectors, ($\vec{v}_1, \vec{v}_2, \vec{v}_3$), a basis for the new unit cell is created. The implementation of this will be described in the following section, along with some ways to get around the numerical issues in Python. \subsection{Implementation in Python}\label{implementation} Based on the theory derived above an arbitrary surface can be created using the procedure found on the DTU niflheim cluster. To create a surface using the procedure described in this section a conventional bulk cell of the surface material is needed along with the Miller indices and the depth of the slab. \\ The implementation in Python using ASE to setup the atoms consists of three parts. First, a new basis is derived from the Miller indices with two of the basis vectors lying in the surface plane. Secondly, the atoms in the conventional bulk cell are expressed in the terms of the new basis in a slab with the selected depth. Finally, the unit cell of the slab is modified so the third cell vector points perpendicular to the surface and all atoms are moved into the unit cell. \subsubsection{Surface basis}\begin{small} \end{small} For any surface type described by a Miller indice $(h,k,l)$ the surface basis $(\vec{v}_1,\vec{v}_2,\vec{v}_3)$ is found relative to the conventional bulk unit cell. $\vec{v}_1$ and $\vec{v}_2$ are chosen to be in the surface plane.\\ In the special case where only one of the Miller indices is non-zero $\vec{v}_1$ and $\vec{v}_2$ are simply the unit vectors in the directions where the Miller indices are zero, respectively and $\vec{v}_3$ is the direction where the Miller indice is non-zero.\\\\ For all other situations $\vec{v}_1$ and $\vec{v}_2$ are found by solving the linear equation \ref{EquationFromTheory} using the Extended Euclidean Algorithm - in the script defined as \verb#ext_gcd()#. This yields an infinite set of solutions all of which can be used. However, the optimal structure is found when the angle between the two base vectors are as close to $90^o$ as possible, as the structure will be as compact as possible and specific sites are easier to identify. This solution is found by minimizing the scalar product of the two base vectors by $c \in \textbf{Z}$. \begin{eqnarray} \left|\left(\left(p+cl\right)\left(\begin{array}{c} k\vec{a}_1 \\ -h\vec{a}_2\\0\end{array}\right) +\left(q-ck\right)\left(\begin{array}{c} l\vec{a}_1 \\ 0\\-h\vec{a}_3\end{array}\right)\right) \cdot\left(\begin{array}{c} 0 \\ l\vec{a}_2\\-k\vec{a}_3\end{array}\right)\right|_{min(c)} \nonumber \end{eqnarray} This can be expressed as $\left| k_1+ck_2 \right|_{min(c)}$ and the solution is found when $c$ is equal to the fraction $-\frac{k_1}{k_2}$ rounded to the nearest integer. Because of numerical errors a tolerance is used. In python this is expressed as follows. \begin{verbatim} p,q = ext_gcd(k,l) k1 = dot( p*(k*a1-h*a2)+q*(l*a1-h*a3) , l*a2-k*a3) k2 = dot( l*(k*a1-h*a2)-k*(l*a1-h*a3) , l*a2-k*a3) if abs(k2)>tol: c = -int(round(k1/k2)) p,q = p+c*l, q-c*k v1 = p*array((k,-h,0))+q*array((l,0,-h)) v2 = reduce(array((0,l,-k))) a,b = ext_gcd(p*k+q*l,h) v3 = array((b,a*p,a*q)) \end{verbatim} The last four lines define the base vectors for the surface using the Extended Euclidean Algorithm for two variables to find $\vec{v}_1$ and $\vec{v}_2$ and three variables to find $\vec{v}_3$. \subsubsection{Atom positions} When the basis have been found the atoms in the conventional cell are base-changed to the new basis using \begin{verbatim} for i in range(len(bulk)): newpos = linalg.solve(basis.T,bulk.get_scaled_positions()[i]) scaled += [newpos-floor(newpos+tol)] \end{verbatim} and then moved so the scaled positions in the new basis are within the box spanned by the basis. The tolerance is needed so atoms positioned exactly on the boundary are treated consistently despite numerical errors. The cell in the new basis is then repeated in the $\vec{v}_3$ direction to create the required slap depth. \\ For many applications it is useful to have the $z$-direction pointing perpendicular to the surface to enable electrostatic decoupling and to make vacuum height and adsorbate distance well defined. The next step in the procedure is therefore to align the $z$-direction with the cross product of $\vec{v}_1$ and $\vec{v}_2$ with a length so the cell volume is preserved. The final step before the slab is created is then to move the atoms so the scaled coordinates are between 0 and 1 in the $\vec{v}_1$ and $\vec{v}_2$ directions making it obvious how the atoms are located relative to each other when the structure is visualized. \end{document} ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/infrared.rst����������������������������������������������������������0000644�0001754�0001754�00000000571�11155773373�017060� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: infrared ==================== Infrared intensities ==================== :class:`~ase.infrared.InfraRed` is an extension of :class:`~ase.vibrations.Vibrations`, in addition to the vibrational modes, also the infrared intensities of the modes are calculated for an :class:`~ase.atoms.Atoms` object. .. autoclass:: ase.infrared.InfraRed :members: ���������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/surface.rst�����������������������������������������������������������0000644�0001754�0001754�00000016127�11656155650�016720� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. default-role:: math .. _lattice-surface-section: ======== Surfaces ======== .. module:: ase.lattice.surface Common surfaces =============== A number of utility functions are provided to set up the most common surfaces, to add vacuum layers, and to add adsorbates to a surface. In general, all surfaces can be set up with the modules described in the section :ref:`general-crystal-section`, but these utility functions make common tasks easier. Example ------- To setup an Al(111) surface with a hydrogen atom adsorbed in an on-top position:: from ase.lattice.surface import * slab = fcc111('Al', size=(2,2,3), vacuum=10.0) This will produce a slab 2x2x3 times the minimal possible size, with a (111) surface in the z direction. A 10 Ã… vacuum layer is added on each side. To set up the same surface with with a hydrogen atom adsorbed in an on-top position 1.5 Ã… above the top layer:: from ase.lattice.surface import * slab = fcc111('Al', size=(2,2,3)) add_adsorbate(slab, 'H', 1.5, 'ontop') slab.center(vacuum=10.0, axis=2) Note that in this case is is probably not meaningful to use the vacuum keyword to fcc111, as we want to leave 10 Ã… of vacuum *after* the adsorbate has been added. Instead, the :meth:`~ase.atoms.Atoms.center` method of the :class:`~ase.atoms.Atoms` is used to add the vacuum and center the system. The atoms in the slab will have tags set to the layer number: First layer atoms will have tag=1, second layer atoms will have tag=2, and so on. Addsorbates get tag=0: >>> print atoms.get_tags() [3 3 3 3 2 2 2 2 1 1 1 1 0] This can be useful for setting up :mod:`constraints` (see :ref:`diffusion_tutorial`). Utility functions for setting up surfaces ----------------------------------------- All the functions setting up surfaces take the same arguments. *symbol*: The chemical symbol of the element to use. *size*: A tuple giving the system size in units of the minimal unit cell. *a*: (optional) The lattice constant. If specified, it overrides the expermental lattice constant of the element. Must be specified if setting up a crystal structure different from the one found in nature. *c*: (optional) Extra HCP lattice constant. If specified, it overrides the expermental lattice constant of the element. Can be specified if setting up a crystal structure different from the one found in nature and an ideal `c/a` ratio is not wanted (`c/a=(8/3)^{1/3}`). *vacuum*: The thickness of the vacuum layer. The specified amount of vacuum appears on both sides of the slab. Default value is None, meaning not to add any vacuum. In that case a "vacuum" layer equal to the interlayer spacing will be present on the upper surface of the slab. Specify ``vacuum=0.0`` to remove it. *orthogonal*: (optional, not supported by all functions). If specified and true, forces the creation of a unit cell with orthogonal basis vectors. If the default is such a unit cell, this argument is not supported. Each function defines a number of standard adsorbtion sites that can later be used when adding an adsorbate with :func:`lattice.surface.add_adsorbate`. The following functions are provided ```````````````````````````````````` .. function:: fcc100(symbol, size, a=None, vacuum=0.0) .. function:: fcc110(symbol, size, a=None, vacuum=0.0) .. function:: bcc100(symbol, size, a=None, vacuum=0.0) .. function:: hcp10m10(symbol, size, a=None, c=None, vacuum=0.0) .. function:: diamond100(symbol, size, a=None, vacuum=0.0) These allways give orthorhombic cells: ========== ============ fcc100 |fcc100| fcc110 |fcc110| bcc100 |bcc100| hcp10m10 |hcp10m10| diamond100 |diamond100| ========== ============ .. function:: fcc111(symbol, size, a=None, vacuum=0.0, orthogonal=False) .. function:: bcc110(symbol, size, a=None, vacuum=0.0, orthogonal=False) .. function:: bcc111(symbol, size, a=None, vacuum=0.0, orthogonal=False) .. function:: hcp0001(symbol, size, a=None, c=None, vacuum=0.0, orthogonal=False) .. function:: diamond111(symbol, size, a=None, vacuum=0.0, orthogonal=False) These can give both non-orthorhombic and orthorhombic cells: ========== ============ =============== fcc111 |fcc111| |fcc111o| bcc110 |bcc110| |bcc110o| bcc111 |bcc111| |bcc111o| hcp0001 |hcp0001| |hcp0001o| diamond111 |diamond111| not implemented ========== ============ =============== The adsorption sites are marked with: ======= ======== ===== ===== ======== =========== ========== ontop hollow fcc hcp bridge shortbridge longbridge |ontop| |hollow| |fcc| |hcp| |bridge| |bridge| |bridge| ======= ======== ===== ===== ======== =========== ========== .. |ontop| image:: ontop-site.png .. |hollow| image:: hollow-site.png .. |fcc| image:: fcc-site.png .. |hcp| image:: hcp-site.png .. |bridge| image:: bridge-site.png .. |fcc100| image:: fcc100.png .. |fcc110| image:: fcc110.png .. |bcc100| image:: bcc100.png .. |fcc111| image:: fcc111.png .. |bcc110| image:: bcc110.png .. |bcc111| image:: bcc111.png .. |hcp0001| image:: hcp0001.png .. |fcc111o| image:: fcc111o.png .. |bcc110o| image:: bcc110o.png .. |bcc111o| image:: bcc111o.png .. |hcp0001o| image:: hcp0001o.png .. |hcp10m10| image:: hcp10m10.png .. |diamond100| image:: diamond100.png .. |diamond111| image:: diamond111.png Adding new utility functions ```````````````````````````` If you need other surfaces than the ones above, the easiest is to look in the source file surface.py, and adapt one of the existing functions. *Please* contribute any such function that you make either by cheking it into SVN or by mailing it to the developers. Adding adsorbates ----------------- After a slab has been created, a vacuum layer can be added. It is also possible to add one or more adsorbates. .. autofunction:: ase.lattice.surface.add_adsorbate .. _general-surface-section: Create specific non-common surfaces =================================== .. versionadded:: 3.5.2 In addition to the most normal surfaces, a function has been constructed to create more uncommon surfaces that one could be interested in. It is constructed upon the Miller Indices defining the surface and can be used for both fcc, bcc and hcp structures. The theory behind the implementation can be found here: :download:`general_surface.pdf`. Example ------- To setup a Au(211) surface with 9 layers and 10 Ã… of vacuum: .. literalinclude:: general_surface.py :lines: 2-4 This is the easy way, where you use the experimental lattice constant for gold bulk structure. You can write:: from ase.visualize import view view(s1) or simply ``s1.edit()`` if you want to see and rotate the structure. .. image:: s1.png Next example is a molybdenum bcc(321) surface where we decide what lattice constant to use: .. literalinclude:: general_surface.py :lines: 6-9 .. image:: s2.png As the last example, creation of alloy surfaces is also very easily carried out with this module. In this example, two :mol:`Pt_3Rh` fcc(211) surfaces will be created: .. literalinclude:: general_surface.py :lines: 11-25 |s3| |s4| .. |s3| image:: s3.png .. |s4| image:: s4.png �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/ase/ase.rst���������������������������������������������������������������0000644�0001754�0001754�00000002310�11647247274�016031� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. module:: ase :synopsis: ASE module .. _ase: ================================ Documentation for modules in ASE ================================ Quick links: .. list-table:: * - :mod:`~ase.atom` - :mod:`atoms` - :mod:`calculators` - :mod:`constraints` - :mod:`dft` * - :mod:`data` - :mod:`gui` - :mod:`infrared` - :mod:`io` - :mod:`lattice` * - :mod:`md` - :mod:`neb` - :mod:`optimize` - :mod:`parallel` - :mod:`phonons` * - :mod:`~lattice.spacegroup` - :mod:`structure` - :mod:`~ase.lattice.surface` - :mod:`transport` - :mod:`thermochemistry` * - :mod:`units` - :mod:`utils` - :mod:`vibrations` - :mod:`visualize` - :mod:`vtk` .. seealso:: * :ref:`tutorials` * :epydoc:`Automatically generated documentation ` (:term:`API`) * :trac:`Source code <>` List of all modules: .. toctree:: :maxdepth: 2 atoms atom units io gui/gui cmdline setup-overview optimize parallel visualize visualize/vtk calculators/calculators constraints neb vibrations phonons infrared md dft/dft transport/transport data trajectory utils thermochemistry ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/conf.py�������������������������������������������������������������������0000644�0001754�0001754�00000015306�11261061457�015254� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������# -*- coding: utf-8 -*- # # ASE documentation build configuration file, created by # sphinx-quickstart on Fri Jun 20 09:39:26 2008. # # This file is execfile()d with the current directory set to its containing dir. # # The contents of this file are pickled, so don't put values in the namespace # that aren't pickleable (module imports are okay, they're removed automatically). # # All configuration values have a default value; values that are commented out # serve to show the default value. import sys, os # If your extensions are in another directory, add it here. If the directory # is relative to the documentation root, use os.path.abspath to make it # absolute, like shown here. #sys.path.append(os.path.abspath('some/directory')) sys.path.append('.') # General configuration # --------------------- # Add any Sphinx extension module names here, as strings. They can be extensions try: from sphinx.ext import pngmath ext_png_math = 'sphinx.ext.pngmath' except ImportError: ext_png_math = 'mathpng' print 'Warning: sphinx uses custom mathpng.py: please update to sphinx >= 5.0' # coming with Sphinx (named 'sphinx.ext.*') or your custom ones. extensions = ['ext', 'images', 'sphinx.ext.autodoc', ext_png_math] try: from sphinx.ext import intersphinx extensions.append('sphinx.ext.intersphinx') except ImportError: print 'Warning: no sphinx.ext.intersphinx available: please update to sphinx >= 5.0' # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix of source filenames. source_suffix = '.rst' # The master toctree document. master_doc = 'contents' # General substitutions. project = 'ASE' copyright = '2008, CAMd' # The default replacements for |version| and |release|, also used in various # other places throughout the built documents. # # The short X.Y version. try: from ase.version import version except ImportError: version = '3.0.0' # The full version, including alpha/beta/rc tags. release = version # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' # Else, today_fmt is used as the format for a strftime call. today_fmt = '%B %d, %Y' # List of documents that shouldn't be included in the build. #unused_docs = [] # List of directories, relative to source directories, that shouldn't be searched # for source files. exclude_trees = ['_build'] # The reST default role (used for this markup: `text`) to use for all documents. #default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). #add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. #show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # Options for HTML output # ----------------------- # The style sheet to use for HTML and HTML Help pages. A file of that name # must exist either in Sphinx' static/ path, or in one of the custom paths # given in html_static_path. html_style = 'ase.css' # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". #html_title = None # A shorter title for the navigation bar. Default is the same as html_title. #html_short_title = None # The name of an image file (within the static path) to place at the top of # the sidebar. html_logo = '_static/ase.ico' # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. html_favicon = '_static/ase.ico' # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. #html_use_smartypants = True # Custom sidebar templates, maps document names to template names. #html_sidebars = {} # Additional templates that should be rendered to pages, maps page names to # template names. #html_additional_pages = {} # If false, no module index is generated. #html_use_modindex = True # If false, no index is generated. #html_use_index = True # If true, the index is split into individual pages for each letter. #html_split_index = False # If true, the reST sources are included in the HTML build as _sources/. #html_copy_source = True # If true, an OpenSearch description file will be output, and all pages will # contain a tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. #html_use_opensearch = '' # If nonempty, this is the file name suffix for HTML files (e.g. ".xhtml"). html_file_suffix = '.html' # Output file base name for HTML help builder. htmlhelp_basename = 'ASEdoc' # Options for LaTeX output # ------------------------ # The paper size ('letter' or 'a4'). latex_paper_size = 'a4' # The font size ('10pt', '11pt' or '12pt'). #latex_font_size = '10pt' # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, document class [howto/manual]). latex_documents = [ ('contents', 'ase-manual.tex', 'ASE Manual', 'CAMd', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of # the title page. #latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. #latex_use_parts = False # Additional stuff for the LaTeX preamble. latex_preamble = '\usepackage{amsmath}' # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. #latex_use_modindex = True # Example configuration for intersphinx: refer to gpaw. intersphinx_mapping = {'http://wiki.fysik.dtu.dk/gpaw': None} # sphinx.ext.pngmath manual configuration # --------------------------------------- pngmath_latex_preamble = '\usepackage{amsmath}\usepackage{amsfonts}\usepackage[active]{preview}' # Additional arguments to give to dvipng, as a list. # The default value is ['-gamma 1.5', '-D 110'] pngmath_dvipng_args = [ '-bgTransparent', '-Ttight', '--noghostscript', '-l10', '--depth', '-D 136', ] # correctly aligns the baselines pngmath_use_preview = True ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/numpy.rst�����������������������������������������������������������������0000644�0001754�0001754�00000006062�11144322355�015653� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. _numpy: Numeric arrays in Python ======================== Links to NumPy's webpage: * `Numpy and Scipy Documentation`_ * `Numpy guide book `_ * `Numpy example list`_ * `Numpy functions by category`_ .. _Numpy and Scipy Documentation: http://docs.scipy.org/doc .. _Numpy example list: http://www.scipy.org/Numpy_Example_List_With_Doc .. _Numpy functions by category: http://www.scipy.org/Numpy_Functions_by_Category ASE makes heavy use of an extension to Python called NumPy. The NumPy module defines an :term:`ndarray` type that can hold large arrays of uniform multidimensional numeric data. An array is similar to a ``list`` or a ``tuple``, but it is a lot more powerful and efficient. XXX More examples from everyday ASE-life here ... >>> import numpy as np >>> a = np.zeros((3, 2)) >>> a[:, 1] = 1.0 >>> a[1] = 2.0 >>> a array([[ 0., 1.], [ 2., 2.], [ 0., 1.]]) >>> a.shape (3, 2) >>> a.ndim 2 .. note:: When you do ``from ase import *``, you will get the ``np`` alias automatically, so there is no need to do a ``import numpy as np`` also. Try this: >>> from ase import * >>> dir(np) The conventions of numpy's linear algebra package: >>> import numpy as np >>> >>> # Make a random hermitian matrix, H >>> H = np.random.rand(6, 6) + 1.j * np.random.rand(6, 6) >>> H = H + H.T.conj() >>> >>> # Determine eigenvalues and rotation matrix >>> eps, U = np.linalg.eigh(H) >>> >>> # Sort eigenvalues >>> sorted_indices = eps.real.argsort() >>> eps = eps[sorted_indices] >>> U = U[:, sorted_indices] >>> >>> # Make print of numpy arrays less messy: >>> np.set_printoptions(precision=3, suppress=True) >>> >>> # Check that U diagonalizes H: >>> print np.dot(np.dot(U.T.conj(), H), U) - np.diag(eps) >>> print np.allclose(np.dot(np.dot(U.T.conj(), H), U), np.diag(eps)) >>> >>> # The eigenvectors of H are the *coloumns* of U: >>> np.allclose(np.dot(H, U[:, 3]), eps[3] * U[:, 3]) >>> np.allclose(np.dot(H, U), eps * U) The rules for multiplying 1D arrays with 2D arrays: * 1D arrays and treated like shape (1, N) arrays (row vectors). * left and right multiplications are treated identically. * A length `m` *row* vector can be multiplied with an `n x m` matrix, producing the same result as if replaced by a matrix with `n` copies of the vector as rows. * A length `n` *column* vector can be multiplied with an `n x m` matrix, producing the same result as if replaced by a matrix with `m` copies of the vector as columns. Thus, for the arrays below: >>> M = np.arange(5 * 6).reshape(5, 6) # A matrix af shape (5, 6) >>> v5 = np.arange(5) + 10 # A vector of length 5 >>> v51 = v5[:, None] # A length 5 coulomn vector >>> v6 = np.arange(6) - 12 # A vector of length 6 >>> v16 = v6[None, :] # A length 6 row vector The following identities hold:: v6 * M == v16 * M == M * v6 == M * v16 == M * v16.repeat(5, 0) v51 * M == M * v51 == M * v51.repeat(6, 1) The exact same rules apply for adding and subtracting 1D arrays to / from 2D arrays. ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/mailinglists.rst����������������������������������������������������������0000644�0001754�0001754�00000002320�11377456624�017212� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.. _mailing_lists: ============= Mailing Lists ============= There is a mailing list for discussing ASE: * ase-users_ The mailing lists below are of interest for active ASE developers only: * ase-developers_ * ase-svncheckins_ or (mainly) `dacapo `_ / `ASE-2 `_ users / developers: * campos_ * campos-devel_ .. _gridpaw-developers: http://lists.berlios.de/mailman/listinfo/gridpaw-developer .. _gpaw-svncheckins: https://listserv.fysik.dtu.dk/mailman/listinfo/gpaw-svncheckins .. _ase-developers: https://listserv.fysik.dtu.dk/mailman/listinfo/ase-developers .. _ase-svncheckins: https://listserv.fysik.dtu.dk/mailman/listinfo/ase-svncheckins .. _ase-users: https://listserv.fysik.dtu.dk/mailman/listinfo/ase-users .. _campos: https://listserv.fysik.dtu.dk/mailman/listinfo/campos .. _campos-devel: https://listserv.fysik.dtu.dk/mailman/listinfo/campos-devel .. _BerliOS: http://www.berlios.de .. _irc: Internet Relay Chat =================== We have the IRC channel ``#campos`` on FreeNode. Please join us if you have any questions. For easy access, you can use this webclient_. .. _webclient: http://webchat.freenode.net/?randomnick=0&channels=campos ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������python-ase-3.6.0.2515/doc/mathpng.py����������������������������������������������������������������0000644�0001754�0001754�00000011660�11050756565�015773� 0����������������������������������������������������������������������������������������������������ustar �askhl���������������������������askhl������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������import os try: from hashlib import md5 except ImportError: from md5 import md5 from docutils import nodes from docutils.writers.html4css1 import HTMLTranslator from sphinx.latexwriter import LaTeXTranslator # Define LaTeX math node: class latex_math(nodes.General, nodes.Element): pass def math_role(role, rawtext, text, lineno, inliner, options={}, content=[]): i = rawtext.find('`') latex = rawtext[i+1:-1] node = latex_math(rawtext) node['latex'] = latex return [node], [] try: from docutils.parsers.rst import Directive except ImportError: # Register directive the old way: from docutils.parsers.rst.directives import _directives def math_directive(name, arguments, options, content, lineno, content_offset, block_text, state, state_machine): latex = ''.join(content) node = latex_math(block_text) node['latex'] = latex return [node] math_directive.arguments = None math_directive.options = {} math_directive.content = 1 _directives['math'] = math_directive else: class math_directive(Directive): has_content = True def run(self): latex = ' '.join(self.content) node = latex_math(self.block_text) node['latex'] = latex return [node] from docutils.parsers.rst import directives directives.register_directive('math', math_directive) def setup(app): app.add_node(latex_math) app.add_role('math', math_role) # Add visit/depart methods to HTML-Translator: def visit_latex_math_html(self, node): source = self.document.attributes['source'] self.body.append(latex2html(node, source)) def depart_latex_math_html(self, node): pass HTMLTranslator.visit_latex_math = visit_latex_math_html HTMLTranslator.depart_latex_math = depart_latex_math_html # Add visit/depart methods to LaTeX-Translator: def visit_latex_math_latex(self, node): inline = isinstance(node.parent, nodes.TextElement) if inline: self.body.append('$%s$' % node['latex']) else: self.body.extend(['\\begin{equation*}\\begin{split}', node['latex'], '\\end{split}\\end{equation*}']) def depart_latex_math_latex(self, node): pass def visit_subscript(self, node): self.body.append('$_{') def depart_subscript(self, node): self.body.append('}$') def visit_superscript(self, node): self.body.append('$^{') def depart_superscript(self, node): self.body.append('}$') LaTeXTranslator.visit_latex_math = visit_latex_math_latex LaTeXTranslator.depart_latex_math = depart_latex_math_latex LaTeXTranslator.visit_subscript = visit_subscript LaTeXTranslator.depart_subscript = depart_subscript LaTeXTranslator.visit_superscript = visit_superscript LaTeXTranslator.depart_superscript = depart_superscript from os.path import isfile # LaTeX to HTML translation stuff: def latex2html(node, source): inline = isinstance(node.parent, nodes.TextElement) latex = node['latex'] name = 'math-' + md5(latex).hexdigest()[-10:] pngname = '_static/%s.png' % name txtname = '_static/%s.txt' % name if not isfile(pngname): depth = make_png(latex, pngname, inline) txtfile = open(txtname, 'w') print >> txtfile, depth txtfile.close() else: depth = int(open(txtname).read().strip()) path = source.split('/doc/')[-1].count('/') * '../' + '_static' if inline: cls = '' align = 'style="vertical-align: -%dpx" ' % depth term = '' else: cls = 'class="center" ' align = '' term = '
' return '%s' % (path, name, align, cls, term) def make_png(latex, name, inline): """Make png file and return the depth relative to baseline.""" # Unfortunately we have to store depth info print latex, f = open('math.tex', 'w') f.write(r"""\documentclass{article} \usepackage[active]{preview} \usepackage{amsmath,amssymb} \begin{document} \begin{preview}""") if inline: f.write(r'$%s$' % latex) else: f.write(r'\[ %s \]' % latex) f.write(r'\end{preview}\end{document}') f.close() os.system('latex --interaction=nonstopmode math.tex > /dev/null') cmd = ('dvipng -bgTransparent -Ttight --noghostscript -l10 ' + '--depth -D 136 -o %s math.dvi' % name) dvipng = os.popen(cmd, 'r') output = dvipng.read() depth = int(output.split('=')[-1].strip()[:-1]) return depth def main(): latex = r'\sum_{\mu\nu} T_{\mu \nu} \rho_{\nu\mu}' #latex = r'$\beta_0$' make_png(latex, 'pngtestfile.png', True) if __name__ == '__main__': main() python-ase-3.6.0.2515/doc/bugs.rst0000644000175400017540000000231311165472631015444 0ustar askhlaskhl.. _bugs: Bugs! ===== If you find a bug in the ASE software, please report it to the developers so it can be fixed. We need that feedback from the community to maintain the quality of the code. Bug report ---------- * If you are unsure if it is a real bug, or a usage problem, it is probably best to report the problem on the ``ase-users`` mailing list (see :ref:`mailing_lists`). Please provide the failing script as well as the information about your environment (processor architecture, versions of python and numpy). Then we (or other users) can help you to find out if it is a bug. Another advantage of reporting bugs on the mailing list: often other users will tell you how to work around the bug (until it is solved). * If you think it is a bug, you can also report it directly on our `bug tracking system`_. The advantage of reporting bugs here is that it is not forgotten (which may be a risk on the mailing list). We do not guarantee to fix all bugs, but we will do our best. Known bugs ---------- A list of known bugs (tickets) is on our Trac_. .. _bug tracking system: http://trac.fysik.dtu.dk/projects/ase/wiki/TracTickets .. _Trac: http://trac.fysik.dtu.dk/projects/ase/report/1 python-ase-3.6.0.2515/COPYING0000644000175400017540000004325411364026230014240 0ustar askhlaskhl GNU GENERAL PUBLIC LICENSE Version 2, June 1991 Copyright (C) 1989, 1991 Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. Preamble The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change free software--to make sure the software is free for all its users. This General Public License applies to most of the Free Software Foundation's software and to any other program whose authors commit to using it. (Some other Free Software Foundation software is covered by the GNU Lesser General Public License instead.) You can apply it to your programs, too. When we speak of free software, we are referring to freedom, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for this service if you wish), that you receive source code or can get it if you want it, that you can change the software or use pieces of it in new free programs; and that you know you can do these things. To protect your rights, we need to make restrictions that forbid anyone to deny you these rights or to ask you to surrender the rights. These restrictions translate to certain responsibilities for you if you distribute copies of the software, or if you modify it. For example, if you distribute copies of such a program, whether gratis or for a fee, you must give the recipients all the rights that you have. You must make sure that they, too, receive or can get the source code. And you must show them these terms so they know their rights. We protect your rights with two steps: (1) copyright the software, and (2) offer you this license which gives you legal permission to copy, distribute and/or modify the software. Also, for each author's protection and ours, we want to make certain that everyone understands that there is no warranty for this free software. If the software is modified by someone else and passed on, we want its recipients to know that what they have is not the original, so that any problems introduced by others will not reflect on the original authors' reputations. Finally, any free program is threatened constantly by software patents. We wish to avoid the danger that redistributors of a free program will individually obtain patent licenses, in effect making the program proprietary. To prevent this, we have made it clear that any patent must be licensed for everyone's free use or not licensed at all. The precise terms and conditions for copying, distribution and modification follow. GNU GENERAL PUBLIC LICENSE TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION 0. This License applies to any program or other work which contains a notice placed by the copyright holder saying it may be distributed under the terms of this General Public License. The "Program", below, refers to any such program or work, and a "work based on the Program" means either the Program or any derivative work under copyright law: that is to say, a work containing the Program or a portion of it, either verbatim or with modifications and/or translated into another language. (Hereinafter, translation is included without limitation in the term "modification".) Each licensee is addressed as "you". Activities other than copying, distribution and modification are not covered by this License; they are outside its scope. The act of running the Program is not restricted, and the output from the Program is covered only if its contents constitute a work based on the Program (independent of having been made by running the Program). Whether that is true depends on what the Program does. 1. You may copy and distribute verbatim copies of the Program's source code as you receive it, in any medium, provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice and disclaimer of warranty; keep intact all the notices that refer to this License and to the absence of any warranty; and give any other recipients of the Program a copy of this License along with the Program. You may charge a fee for the physical act of transferring a copy, and you may at your option offer warranty protection in exchange for a fee. 2. You may modify your copy or copies of the Program or any portion of it, thus forming a work based on the Program, and copy and distribute such modifications or work under the terms of Section 1 above, provided that you also meet all of these conditions: a) You must cause the modified files to carry prominent notices stating that you changed the files and the date of any change. b) You must cause any work that you distribute or publish, that in whole or in part contains or is derived from the Program or any part thereof, to be licensed as a whole at no charge to all third parties under the terms of this License. c) If the modified program normally reads commands interactively when run, you must cause it, when started running for such interactive use in the most ordinary way, to print or display an announcement including an appropriate copyright notice and a notice that there is no warranty (or else, saying that you provide a warranty) and that users may redistribute the program under these conditions, and telling the user how to view a copy of this License. (Exception: if the Program itself is interactive but does not normally print such an announcement, your work based on the Program is not required to print an announcement.) These requirements apply to the modified work as a whole. If identifiable sections of that work are not derived from the Program, and can be reasonably considered independent and separate works in themselves, then this License, and its terms, do not apply to those sections when you distribute them as separate works. But when you distribute the same sections as part of a whole which is a work based on the Program, the distribution of the whole must be on the terms of this License, whose permissions for other licensees extend to the entire whole, and thus to each and every part regardless of who wrote it. Thus, it is not the intent of this section to claim rights or contest your rights to work written entirely by you; rather, the intent is to exercise the right to control the distribution of derivative or collective works based on the Program. In addition, mere aggregation of another work not based on the Program with the Program (or with a work based on the Program) on a volume of a storage or distribution medium does not bring the other work under the scope of this License. 3. You may copy and distribute the Program (or a work based on it, under Section 2) in object code or executable form under the terms of Sections 1 and 2 above provided that you also do one of the following: a) Accompany it with the complete corresponding machine-readable source code, which must be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or, b) Accompany it with a written offer, valid for at least three years, to give any third party, for a charge no more than your cost of physically performing source distribution, a complete machine-readable copy of the corresponding source code, to be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or, c) Accompany it with the information you received as to the offer to distribute corresponding source code. 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These actions are prohibited by law if you do not accept this License. Therefore, by modifying or distributing the Program (or any work based on the Program), you indicate your acceptance of this License to do so, and all its terms and conditions for copying, distributing or modifying the Program or works based on it. 6. Each time you redistribute the Program (or any work based on the Program), the recipient automatically receives a license from the original licensor to copy, distribute or modify the Program subject to these terms and conditions. You may not impose any further restrictions on the recipients' exercise of the rights granted herein. You are not responsible for enforcing compliance by third parties to this License. 7. If, as a consequence of a court judgment or allegation of patent infringement or for any other reason (not limited to patent issues), conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot distribute so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not distribute the Program at all. For example, if a patent license would not permit royalty-free redistribution of the Program by all those who receive copies directly or indirectly through you, then the only way you could satisfy both it and this License would be to refrain entirely from distribution of the Program. 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If the distribution and/or use of the Program is restricted in certain countries either by patents or by copyrighted interfaces, the original copyright holder who places the Program under this License may add an explicit geographical distribution limitation excluding those countries, so that distribution is permitted only in or among countries not thus excluded. In such case, this License incorporates the limitation as if written in the body of this License. 9. The Free Software Foundation may publish revised and/or new versions of the General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. Each version is given a distinguishing version number. If the Program specifies a version number of this License which applies to it and "any later version", you have the option of following the terms and conditions either of that version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of this License, you may choose any version ever published by the Free Software Foundation. 10. If you wish to incorporate parts of the Program into other free programs whose distribution conditions are different, write to the author to ask for permission. For software which is copyrighted by the Free Software Foundation, write to the Free Software Foundation; we sometimes make exceptions for this. Our decision will be guided by the two goals of preserving the free status of all derivatives of our free software and of promoting the sharing and reuse of software generally. NO WARRANTY 11. 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It is safest to attach them to the start of each source file to most effectively convey the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found. Copyright (C) This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. Also add information on how to contact you by electronic and paper mail. If the program is interactive, make it output a short notice like this when it starts in an interactive mode: Gnomovision version 69, Copyright (C) year name of author Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, the commands you use may be called something other than `show w' and `show c'; they could even be mouse-clicks or menu items--whatever suits your program. You should also get your employer (if you work as a programmer) or your school, if any, to sign a "copyright disclaimer" for the program, if necessary. Here is a sample; alter the names: Yoyodyne, Inc., hereby disclaims all copyright interest in the program `Gnomovision' (which makes passes at compilers) written by James Hacker. , 1 April 1989 Ty Coon, President of Vice This General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. python-ase-3.6.0.2515/COPYING.LESSER0000644000175400017540000006364211364026230015237 0ustar askhlaskhl GNU LESSER GENERAL PUBLIC LICENSE Version 2.1, February 1999 Copyright (C) 1991, 1999 Free Software Foundation, Inc. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. [This is the first released version of the Lesser GPL. It also counts as the successor of the GNU Library Public License, version 2, hence the version number 2.1.] Preamble The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public Licenses are intended to guarantee your freedom to share and change free software--to make sure the software is free for all its users. This license, the Lesser General Public License, applies to some specially designated software packages--typically libraries--of the Free Software Foundation and other authors who decide to use it. You can use it too, but we suggest you first think carefully about whether this license or the ordinary General Public License is the better strategy to use in any particular case, based on the explanations below. When we speak of free software, we are referring to freedom of use, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for this service if you wish); that you receive source code or can get it if you want it; that you can change the software and use pieces of it in new free programs; and that you are informed that you can do these things. To protect your rights, we need to make restrictions that forbid distributors to deny you these rights or to ask you to surrender these rights. These restrictions translate to certain responsibilities for you if you distribute copies of the library or if you modify it. For example, if you distribute copies of the library, whether gratis or for a fee, you must give the recipients all the rights that we gave you. You must make sure that they, too, receive or can get the source code. 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