ipython-2.4.1/0000755000076500000000000000000012466236022013451 5ustar minrkwheel00000000000000ipython-2.4.1/COPYING.rst0000644000076500000000000000652712466235755015341 0ustar minrkwheel00000000000000============================= The IPython licensing terms ============================= IPython is licensed under the terms of the Modified BSD License (also known as New or Revised or 3-Clause BSD), as follows: - Copyright (c) 2008-2014, IPython Development Team - Copyright (c) 2001-2007, Fernando Perez - Copyright (c) 2001, Janko Hauser - Copyright (c) 2001, Nathaniel Gray All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of the IPython Development Team nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. About the IPython Development Team ---------------------------------- Fernando Perez began IPython in 2001 based on code from Janko Hauser and Nathaniel Gray . Fernando is still the project lead. The IPython Development Team is the set of all contributors to the IPython project. This includes all of the IPython subprojects. A full list with details is kept in the documentation directory, in the file ``about/credits.txt``. The core team that coordinates development on GitHub can be found here: https://github.com/ipython/. Our Copyright Policy -------------------- IPython uses a shared copyright model. Each contributor maintains copyright over their contributions to IPython. But, it is important to note that these contributions are typically only changes to the repositories. Thus, the IPython source code, in its entirety is not the copyright of any single person or institution. Instead, it is the collective copyright of the entire IPython Development Team. If individual contributors want to maintain a record of what changes/contributions they have specific copyright on, they should indicate their copyright in the commit message of the change, when they commit the change to one of the IPython repositories. With this in mind, the following banner should be used in any source code file to indicate the copyright and license terms: :: # Copyright (c) IPython Development Team. # Distributed under the terms of the Modified BSD License. ipython-2.4.1/docs/0000755000076500000000000000000012466236022014401 5ustar minrkwheel00000000000000ipython-2.4.1/docs/autogen_api.py0000755000076500000000000000365712466235755017300 0ustar minrkwheel00000000000000#!/usr/bin/env python """Script to auto-generate our API docs. """ # stdlib imports import os import sys # local imports sys.path.append(os.path.abspath('sphinxext')) from apigen import ApiDocWriter #***************************************************************************** if __name__ == '__main__': pjoin = os.path.join package = 'IPython' outdir = pjoin('source','api','generated') docwriter = ApiDocWriter(package,rst_extension='.rst') # You have to escape the . here because . is a special char for regexps. # You must do make clean if you change this! docwriter.package_skip_patterns += [r'\.external$', # Extensions are documented elsewhere. r'\.extensions', r'\.config\.profile', ] # The inputhook* modules often cause problems on import, such as trying to # load incompatible Qt bindings. It's easiest to leave them all out. The # main API is in the inputhook module, which is documented. docwriter.module_skip_patterns += [ r'\.lib\.inputhook.+', r'\.ipdoctest', r'\.testing\.plugin', # This just prints a deprecation msg: r'\.frontend$', # We document this manually. r'\.utils\.py3compat', ] # Now, generate the outputs docwriter.write_api_docs(outdir) # Write index with .txt extension - we can include it, but Sphinx won't try # to compile it docwriter.write_index(outdir, 'gen.txt', relative_to = pjoin('source','api') ) print ('%d files written' % len(docwriter.written_modules)) ipython-2.4.1/docs/autogen_config.py0000755000076500000000000000632012466235755017762 0ustar minrkwheel00000000000000#!/usr/bin/env python from IPython.utils.text import indent, wrap_paragraphs from IPython.terminal.ipapp import TerminalIPythonApp from IPython.kernel.zmq.kernelapp import IPKernelApp from IPython.html.notebookapp import NotebookApp def document_config_options(classes): lines = [] for cls in classes: classname = cls.__name__ for k, trait in sorted(cls.class_traits(config=True).items()): ttype = trait.__class__.__name__ termline = classname + '.' + trait.name # Choices or type if 'Enum' in ttype: # include Enum choices termline += ' : ' + '|'.join(repr(x) for x in trait.values) else: termline += ' : ' + ttype lines.append(termline) # Default value try: dv = trait.get_default_value() dvr = repr(dv) except Exception: dvr = dv = None # ignore defaults we can't construct if (dv is not None) and (dvr is not None): if len(dvr) > 64: dvr = dvr[:61]+'...' # Double up backslashes, so they get to the rendered docs dvr = dvr.replace('\\n', '\\\\n') lines.append(' Default: ' + dvr) lines.append('') help = trait.get_metadata('help') if help is not None: help = '\n\n'.join(wrap_paragraphs(help, 76)) lines.append(indent(help, 4)) else: lines.append(' No description') lines.append('') return '\n'.join(lines) kernel_classes = IPKernelApp().classes def write_doc(name, title, classes, preamble=None): configdoc = document_config_options(classes) filename = '%s.rst' % name with open('source/config/options/%s' % filename, 'w') as f: f.write(title + '\n') f.write(('=' * len(title)) + '\n') f.write('\n') if preamble is not None: f.write(preamble + '\n\n') f.write(configdoc) with open('source/config/options/generated', 'a') as f: f.write(filename + '\n') if __name__ == '__main__': # create empty file with open('source/config/options/generated', 'w'): pass write_doc('terminal', 'Terminal IPython options', TerminalIPythonApp().classes) write_doc('kernel', 'IPython kernel options', kernel_classes, preamble="These options can be used in :file:`ipython_notebook_config.py` " "or in :file:`ipython_qtconsole_config.py`") nbclasses = set(NotebookApp().classes) - set(kernel_classes) write_doc('notebook', 'IPython notebook options', nbclasses, preamble="Any of the :doc:`kernel` can also be used.") try: from IPython.qt.console.qtconsoleapp import IPythonQtConsoleApp except ImportError: print("WARNING: Could not import qtconsoleapp. Config options for the " "Qt Console will not be documented.") else: qtclasses = set(IPythonQtConsoleApp().classes) - set(kernel_classes) write_doc('qtconsole', 'IPython Qt console options', qtclasses, preamble="Any of the :doc:`kernel` can also be used.") ipython-2.4.1/docs/gh-pages.py0000755000076500000000000000776612466235755016505 0ustar minrkwheel00000000000000#!/usr/bin/env python """Script to commit the doc build outputs into the github-pages repo. Use: gh-pages.py [tag] If no tag is given, the current output of 'git describe' is used. If given, that is how the resulting directory will be named. In practice, you should use either actual clean tags from a current build or something like 'current' as a stable URL for the most current version of the """ #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- import os import re import shutil import sys from os import chdir as cd from os.path import join as pjoin from subprocess import Popen, PIPE, CalledProcessError, check_call #----------------------------------------------------------------------------- # Globals #----------------------------------------------------------------------------- pages_dir = 'gh-pages' html_dir = 'build/html' pdf_dir = 'build/latex' pages_repo = 'git@github.com:ipython/ipython-doc.git' #----------------------------------------------------------------------------- # Functions #----------------------------------------------------------------------------- def sh(cmd): """Execute command in a subshell, return status code.""" return check_call(cmd, shell=True) def sh2(cmd): """Execute command in a subshell, return stdout. Stderr is unbuffered from the subshell.x""" p = Popen(cmd, stdout=PIPE, shell=True) out = p.communicate()[0] retcode = p.returncode if retcode: raise CalledProcessError(retcode, cmd) else: return out.rstrip() def sh3(cmd): """Execute command in a subshell, return stdout, stderr If anything appears in stderr, print it out to sys.stderr""" p = Popen(cmd, stdout=PIPE, stderr=PIPE, shell=True) out, err = p.communicate() retcode = p.returncode if retcode: raise CalledProcessError(retcode, cmd) else: return out.rstrip(), err.rstrip() def init_repo(path): """clone the gh-pages repo if we haven't already.""" sh("git clone %s %s"%(pages_repo, path)) here = os.getcwdu() cd(path) sh('git checkout gh-pages') cd(here) #----------------------------------------------------------------------------- # Script starts #----------------------------------------------------------------------------- if __name__ == '__main__': # The tag can be given as a positional argument try: tag = sys.argv[1] except IndexError: tag = "dev" startdir = os.getcwdu() if not os.path.exists(pages_dir): # init the repo init_repo(pages_dir) else: # ensure up-to-date before operating cd(pages_dir) sh('git checkout gh-pages') sh('git pull') cd(startdir) dest = pjoin(pages_dir, tag) # don't `make html` here, because gh-pages already depends on html in Makefile # sh('make html') if tag != 'dev': # only build pdf for non-dev targets #sh2('make pdf') pass # This is pretty unforgiving: we unconditionally nuke the destination # directory, and then copy the html tree in there shutil.rmtree(dest, ignore_errors=True) shutil.copytree(html_dir, dest) if tag != 'dev': #shutil.copy(pjoin(pdf_dir, 'ipython.pdf'), pjoin(dest, 'ipython.pdf')) pass try: cd(pages_dir) branch = sh2('git rev-parse --abbrev-ref HEAD').strip() if branch != 'gh-pages': e = 'On %r, git branch is %r, MUST be "gh-pages"' % (pages_dir, branch) raise RuntimeError(e) sh('git add -A %s' % tag) sh('git commit -m"Updated doc release: %s"' % tag) print print 'Most recent 3 commits:' sys.stdout.flush() sh('git --no-pager log --oneline HEAD~3..') finally: cd(startdir) print print 'Now verify the build in: %r' % dest print "If everything looks good, 'git push'" ipython-2.4.1/docs/make.cmd0000644000076500000000000000403312466235755016017 0ustar minrkwheel00000000000000@ECHO OFF REM ~ Windows command line make file for Sphinx documentation SETLOCAL SET SPHINXOPTS= SET SPHINXBUILD=sphinx-build SET PAPER= SET SRCDIR=source IF "%PAPER%" == "" SET PAPER=a4 SET ALLSPHINXOPTS=-d build\doctrees -D latex_paper_size=%PAPER% %SPHINXOPTS% %SRCDIR% FOR %%X IN (%SPHINXBUILD%.exe) DO SET P=%%~$PATH:X FOR %%L IN (html pickle htmlhelp latex changes linkcheck) DO ( IF "%1" == "%%L" ( IF "%P%" == "" ( ECHO. ECHO Error: Sphinx is not available. Please make sure it is correctly installed. GOTO END ) MD build\doctrees 2>NUL MD build\%1 || GOTO DIR_EXIST %SPHINXBUILD% -b %1 %ALLSPHINXOPTS% build\%1 IF NOT ERRORLEVEL 0 GOTO ERROR ECHO. ECHO Build finished. Results are in build\%1. IF "%1" == "pickle" ( ECHO Now you can process the pickle files or run ECHO sphinx-web build\pickle to start the sphinx-web server. ) IF "%1" == "htmlhelp" ( ECHO Now you can run HTML Help Workshop with the ECHO .hhp project file in build/htmlhelp. ) IF "%1" == "linkcheck" ( ECHO Look for any errors in the above output ECHO or in build\linkcheck\output.rst. ) GOTO END ) ) IF "%1" == "clean" ( RD /s /q build dist %SRCDIR%\api\generated 2>NUL IF ERRORLEVEL 0 ECHO Build environment cleaned! GOTO END ) ECHO. ECHO Please use "make [target]" where [target] is one of: ECHO. ECHO html to make standalone HTML files ECHO pickle to make pickle files (usable by e.g. sphinx-web) ECHO htmlhelp to make HTML files and a HTML help project ECHO latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter ECHO changes to make an overview over all changed/added/deprecated items ECHO linkcheck to check all external links for integrity GOTO END :DIR_EXIST ECHO. ECHO Info: Run "make clean" to clean build environment :ERROR ECHO. ECHO Error: Build process failed! :END ENDLOCALipython-2.4.1/docs/Makefile0000644000076500000000000001164612466235755016065 0ustar minrkwheel00000000000000# Makefile for Sphinx documentation # # You can set these variables from the command line. SPHINXOPTS = SPHINXBUILD = sphinx-build PAPER = SRCDIR = source BUILDDIR = build # Internal variables. PAPEROPT_a4 = -D latex_paper_size=a4 PAPEROPT_letter = -D latex_paper_size=letter ALLSPHINXOPTS = -d build/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) $(SRCDIR) .PHONY: help clean html web pickle htmlhelp latex changes linkcheck api default: html help: @echo "Please use \`make ' where is one of" @echo " html standalone HTML files" @echo " html_noapi same as above, without the time consuming API docs" @echo " pickle pickle files (usable by e.g. sphinx-web)" @echo " htmlhelp HTML files and a HTML help project" @echo " latex LaTeX files, you can set PAPER=a4 or PAPER=letter" @echo " texinfo Texinfo files" @echo " info Texinfo files and run them through makeinfo" @echo " changes an overview over all changed/added/deprecated items" @echo " linkcheck check all external links for integrity (takes a long time)" @echo @echo "Compound utility targets:" @echo "pdf latex and then runs the PDF generation" @echo "all html and pdf" @echo "dist all, and then puts the results in dist/" @echo "gitwash-update update git workflow from source repo" clean_api: -rm -rf $(SRCDIR)/api/generated clean: clean_api -rm -rf build/* dist/* -cd $(SRCDIR)/config/options; cat generated | xargs -r rm -f -rm -rf $(SRCDIR)/config/options/generated pdf: latex cd build/latex && make all-pdf all: html pdf # For final distribution, only build HTML (our pdf is now so large as to be # unusable, takes forever to build and just bloats the downloads). We leave # them hardlinked at the top-level so users find them easily, though the # original build/html dir is left in-place (useful to reload builds while # testing). dist: html rm -rf html cp -al build/html . @echo "Build finished. Final docs are in html/" html: api autoconfig html_noapi: clean_api autoconfig html html_noapi: mkdir -p build/html build/doctrees $(SPHINXBUILD) -b html $(ALLSPHINXOPTS) build/html @echo @echo "Build finished. The HTML pages are in build/html." autoconfig: source/config/options/generated source/config/options/generated: python autogen_config.py @echo "Created docs for config options" api: source/api/generated/gen.txt source/api/generated/gen.txt: python autogen_api.py @echo "Build API docs finished." pickle: mkdir -p build/pickle build/doctrees $(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) build/pickle @echo @echo "Build finished; now you can process the pickle files or run" @echo " sphinx-web build/pickle" @echo "to start the sphinx-web server." web: pickle htmlhelp: mkdir -p build/htmlhelp build/doctrees $(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) build/htmlhelp @echo @echo "Build finished; now you can run HTML Help Workshop with the" \ ".hhp project file in build/htmlhelp." qthelp: mkdir -p build/qthelp $(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) build/qthelp @echo @echo "Build finished; now you can run "qcollectiongenerator" with the" \ ".qhcp project file in $(BUILDDIR)/qthelp, like this:" @echo "# qcollectiongenerator $(BUILDDIR)/qthelp/IPython.qhcp" @echo "To view the help file:" @echo "# assistant -collectionFile $(BUILDDIR)/qthelp/IPython.qhc" latex: api autoconfig mkdir -p build/latex build/doctrees $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) build/latex @echo @echo "Build finished; the LaTeX files are in build/latex." @echo "Run \`make all-pdf' or \`make all-ps' in that directory to" \ "run these through (pdf)latex." changes: mkdir -p build/changes build/doctrees $(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) build/changes @echo @echo "The overview file is in build/changes." linkcheck: mkdir -p build/linkcheck build/doctrees $(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) build/linkcheck @echo @echo "Link check complete; look for any errors in the above output " \ "or in build/linkcheck/output.rst." gitwash-update: python ../tools/gitwash_dumper.py source/development ipython nightly: dist rsync -avH --delete dist/ ipython:www/doc/nightly gh-pages: clean html # if VERSION is unspecified, it will be dev # For releases, VERSION should be just the major version, # e.g. VERSION=2 make gh-pages python gh-pages.py $(VERSION) texinfo: mkdir -p $(BUILDDIR)/texinfo $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo @echo @echo "Build finished. The Texinfo files are in $(BUILDDIR)/texinfo." @echo "Run \`make' in that directory to run these through makeinfo" \ "(use \`make info' here to do that automatically)." info: mkdir -p $(BUILDDIR)/texinfo $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo @echo "Running Texinfo files through makeinfo..." make -C $(BUILDDIR)/texinfo info @echo "makeinfo finished; the Info files are in $(BUILDDIR)/texinfo." ipython-2.4.1/docs/man/0000755000076500000000000000000012466236022015154 5ustar minrkwheel00000000000000ipython-2.4.1/docs/man/ipcluster.10000644000076500000000000000103512466235755017263 0ustar minrkwheel00000000000000.TH IPCLUSTER 1 "June 10, 2012" "" "" .SH NAME \fBipcluster \- start a cluster for IPython parallel computing .SH SYNOPSIS .B ipcluster subcommand .RI [ options ] .SH DESCRIPTION Start an IPython cluster for parallel computing. For more information on how to use ipcluster, see 'ipcluster \-\-help', or 'ipcluster \-\-help\-all' for all available command\(hyline options. .SH "SEE ALSO" .BR ipython(1), .BR ipcontroller(1), .BR ipengine(1), .br .SH AUTHORS \fBipcluster\fP ships with IPython, maintained by the IPython Development Team. ipython-2.4.1/docs/man/ipcontroller.10000644000076500000000000000105612466235755017770 0ustar minrkwheel00000000000000.TH IPCONTROLLER 1 "June 10, 2012" "" "" .SH NAME \fBipcontroller \- start a controller for IPython parallel computing .SH SYNOPSIS .B ipcontroller .RI [ options ] .SH DESCRIPTION ipcontroller starts a controller for the IPython cluster For more information on how to use ipcontroller, see 'ipcontroller \-\-help', or 'ipcontroller \-\-help\-all' for all available command\(hyline options. .SH "SEE ALSO" .BR ipython(1), .BR ipengine(1), .BR ipcluster(1) .br .SH AUTHORS \fBipcontroller\fP ships with IPython, maintained by the IPython Development Team. ipython-2.4.1/docs/man/ipengine.10000644000076500000000000000077612466235755017062 0ustar minrkwheel00000000000000.TH IPENGINE 1 "June 10, 2012" "" "" .SH NAME \fBipengine \- IPython parallel computing engine .SH SYNOPSIS .B ipengine .RI [ options ] .SH DESCRIPTION ipengine starts an engine for the IPython cluster For more information on how to use ipengine, see 'ipengine \-\-help', or 'ipengine \-\-help\-all' for all available command\(hyline options. .SH "SEE ALSO" .BR ipython(1), .BR ipcontroller(1), .BR ipcluster(1) .br .SH AUTHORS \fBipengine\fP ships with IPython, maintained by the IPython Development Team. ipython-2.4.1/docs/man/ipython.10000644000076500000000000000401212466235755016741 0ustar minrkwheel00000000000000.\" Hey, EMACS: -*- nroff -*- .\" First parameter, NAME, should be all caps .\" Second parameter, SECTION, should be 1-8, maybe w/ subsection .\" other parameters are allowed: see man(7), man(1) .TH IPYTHON 1 "July 15, 2011" .\" Please adjust this date whenever revising the manpage. .\" .\" Some roff macros, for reference: .\" .nh disable hyphenation .\" .hy enable hyphenation .\" .ad l left justify .\" .ad b justify to both left and right margins .\" .nf disable filling .\" .fi enable filling .\" .br insert line break .\" .sp insert n+1 empty lines .\" for manpage-specific macros, see man(7) and groff_man(7) .\" .SH section heading .\" .SS secondary section heading .\" .\" .\" To preview this page as plain text: nroff -man ipython.1 .\" .SH NAME ipython \- Tools for Interactive Computing in Python. .SH SYNOPSIS .B ipython .RI [ options ] " files" ... .B ipython subcommand .RI [ options ] ... .SH DESCRIPTION An interactive Python shell with automatic history (input and output), dynamic object introspection, easier configuration, command completion, access to the system shell, integration with numerical and scientific computing tools, web notebook, Qt console, and more. For more information on how to use IPython, see 'ipython \-\-help', or 'ipython \-\-help\-all' for all available command\(hyline options. .SH "ENVIRONMENT VARIABLES" .sp .PP \fIIPYTHONDIR\fR .RS 4 This is the location where IPython stores all its configuration files. The default is $HOME/.ipython if IPYTHONDIR is not defined. You can see the computed value of IPYTHONDIR with `ipython locate`. .SH FILES IPython uses various configuration files stored in profiles within IPYTHONDIR. To generate the default configuration files and start configuring IPython, do 'ipython profile create', and edit '*_config.py' files located in IPYTHONDIR/profile_default. .SH AUTHORS IPython is written by the IPython Development Team . ipython-2.4.1/docs/README.rst0000644000076500000000000000170012466235755016102 0ustar minrkwheel00000000000000IPython Documentation --------------------- This directory contains the majority of the documentation for IPython. Requirements ------------ The following tools are needed to build the documentation: sphinx On Debian-based systems, you should be able to run:: sudo apt-get install sphinx The documentation gets built using ``make``, and comes in several flavors. ``make html`` - build the API and narrative documentation web pages, this is the the default ``make`` target, so running just ``make`` is equivalent to ``make html``. ``make html_noapi`` - same as above, but without running the auto-generated API docs. When you are working on the narrative documentation, the most time consuming portion of the build process is the processing and rending of the API documentation. This build target skips that. ``make pdf`` will compile a pdf from the documentation. You can run ``make help`` to see information on all possible make targets. ipython-2.4.1/docs/resources/0000755000076500000000000000000012466236022016413 5ustar minrkwheel00000000000000ipython-2.4.1/docs/resources/generate_icons.sh0000755000076500000000000000167712466235755021766 0ustar minrkwheel00000000000000INKSCAPE=/Applications/Inkscape.app/Contents/Resources/bin/inkscape ${INKSCAPE} -z -C --file=ipynb_icon_16x16.svg --export-png=ipynb_icon_16x16_uncrush.png ${INKSCAPE} -z -C --file=ipynb_icon_24x24.svg --export-png=ipynb_icon_24x24_uncrush.png ${INKSCAPE} -z -C --file=ipynb_icon_32x32.svg --export-png=ipynb_icon_32x32_uncrush.png ${INKSCAPE} -z -C --file=ipynb_icon_512x512.svg --export-png=ipynb_icon_64x64_uncrush.png -w 64 -h 64 ${INKSCAPE} -z -C --file=ipynb_icon_512x512.svg --export-png=ipynb_icon_128x128_uncrush.png -w 128 -h 128 ${INKSCAPE} -z -C --file=ipynb_icon_512x512.svg --export-png=ipynb_icon_256x256_uncrush.png -w 256 -h 256 ${INKSCAPE} -z -C 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    IPython Documentation
    {{ super() }} {% endblock %} {# put the sidebar before the body #} {% block sidebar1 %}{{ sidebar() }}{% endblock %} {% block sidebar2 %}{% endblock %} ipython-2.4.1/docs/source/_templates/notebook_redirect.html0000644000076500000000000000042212466235755024437 0ustar minrkwheel00000000000000 Notebook docs have moved

    The notebook docs have moved here.

    ipython-2.4.1/docs/source/about/0000755000076500000000000000000012466236022017013 5ustar minrkwheel00000000000000ipython-2.4.1/docs/source/about/credits.rst0000644000076500000000000002462612466235755021230 0ustar minrkwheel00000000000000.. _credits: ======= Credits ======= IPython was started and continues to be led by Fernando Pérez. Core developers =============== As of this writing, core development team consists of the following developers: * **Fernando Pérez** Project creator and leader, IPython core, parallel computing infrastructure, testing, release manager. * **Robert Kern** Co-mentored the 2005 Google Summer of Code project, work on IPython's core. * **Brian Granger** Parallel computing infrastructure, IPython core, IPython notebook. * **Benjamin (Min) Ragan-Kelley** Parallel computing infrastructure, IPython core, IPython notebook. * **Ville Vainio** IPython core, maintainer of IPython trunk from version 0.7.2 to 0.8.4. * **Gael Varoquaux** wxPython IPython GUI, frontend architecture. * **Barry Wark** Cocoa GUI, frontend architecture. * **Laurent Dufrechou** wxPython IPython GUI. * **Jörgen Stenarson** Maintainer of the PyReadline project, which is needed for IPython under windows. * **Thomas Kluyver** Port of IPython and its necessary ZeroMQ infrastructure to Python3, IPython core. * **Evan Patterson** Qt console frontend with ZeroMQ. * **Paul Ivanov** IPython core, documentation. * **Matthias Bussonnier** IPython notebook, nbviewer, nbconvert. * **Julian Taylor** IPython core, Debian packaging. * **Brad Froehle** IPython core. Special thanks ============== The IPython project is also very grateful to: Bill Bumgarner , for providing the DPyGetOpt module that IPython used for parsing command line options through version 0.10. Ka-Ping Yee , for providing the Itpl module for convenient and powerful string interpolation with a much nicer syntax than formatting through the '%' operator. Arnd Baecker , for his many very useful suggestions and comments, and lots of help with testing and documentation checking. Many of IPython's newer features are a result of discussions with him. Obviously Guido van Rossum and the whole Python development team, for creating a great language for interactive computing. Fernando would also like to thank Stephen Figgins , an O'Reilly Python editor. His October 11, 2001 article about IPP and LazyPython, was what got this project started. You can read it at http://www.onlamp.com/pub/a/python/2001/10/11/pythonnews.html. Sponsors ======== We would like to thank the following entities which, at one point or another, have provided resources and support to IPython: * Enthought (http://www.enthought.com), for hosting IPython's website and supporting the project in various ways over the years, including significant funding and resources in 2010 for the development of our modern ZeroMQ-based architecture and Qt console frontend. * Google, for supporting IPython through Summer of Code sponsorships in 2005 and 2010. * Microsoft Corporation, for funding in 2009 the development of documentation and examples of the Windows HPC Server 2008 support in IPython's parallel computing tools. * The Nipy project (http://nipy.org) for funding in 2009 a significant refactoring of the entire project codebase that was key. * Ohio Supercomputer Center ( part of Ohio State University Research Foundation) and the Department of Defense High Performance Computing Modernization Program (HPCMP), for sponsoring work in 2009 on the ipcluster script used for starting IPython's parallel computing processes, as well as the integration between IPython and the Vision environment (http://mgltools.scripps.edu/packages/vision). This project would not have been possible without the support and leadership of Jose Unpingco, from Ohio State. * Tech-X Corporation, for sponsoring a NASA SBIR project in 2008 on IPython's distributed array and parallel computing capabilities. * Bivio Software (http://www.bivio.biz/bp/Intro), for hosting an IPython sprint in 2006 in addition to their support of the Front Range Pythoneers group in Boulder, CO. Contributors ============ And last but not least, all the kind IPython contributors who have contributed new code, bug reports, fixes, comments and ideas. A brief list follows, please let us know if we have omitted your name by accident: * Mark Voorhies Printing support in Qt console. * Justin Riley Contributions to parallel support, Amazon EC2, Sun Grid Engine, documentation. * Satrajit Ghosh parallel computing (SGE and much more). * Thomas Spura various fixes motivated by Fedora support. * Omar Andrés Zapata Mesa Google Summer of Code 2010, terminal support with ZeroMQ * Gerardo Gutierrez Google Summer of Code 2010, Qt notebook frontend support with ZeroMQ. * Paul Ivanov multiline specials improvements. * Dav Clark traitlets improvements. * David Warde-Farley - bugfixes to %timeit, input autoindent management, and Qt console tooltips. * Darren Dale , traits-based configuration system, Qt support. * Jose Unpingco authored multiple tutorials and screencasts teaching the use of IPython both for interactive and parallel work (available in the documentation part of our website). * Dan Milstein A bold refactor of the core prefilter machinery in the IPython interpreter. * Jack Moffit Bug fixes, including the infamous color problem. This bug alone caused many lost hours and frustration, many thanks to him for the fix. I've always been a fan of Ogg & friends, now I have one more reason to like these folks. Jack is also contributing with Debian packaging and many other things. * Alexander Schmolck Emacs work, bug reports, bug fixes, ideas, lots more. The ipython.el mode for (X)Emacs is Alex's code, providing full support for IPython under (X)Emacs. * Andrea Riciputi Mac OSX information, Fink package management. * Gary Bishop Bug reports, and patches to work around the exception handling idiosyncracies of WxPython. Readline and color support for Windows. * Jeffrey Collins . Bug reports. Much improved readline support, including fixes for Python 2.3. * Dryice Liu FreeBSD port. * Mike Heeter * Christopher Hart PDB integration. * Milan Zamazal Emacs info. * Philip Hisley * Holger Krekel Tab completion, lots more. * Robin Siebler * Ralf Ahlbrink * Thorsten Kampe * Fredrik Kant Windows setup. * Syver Enstad Windows setup. * Richard Global embedding. * Hayden Callow Gnuplot.py 1.6 compatibility. * Leonardo Santagada Fixes for Windows installation. * Christopher Armstrong Bugfixes. * Francois Pinard Code and documentation fixes. * Cory Dodt Bug reports and Windows ideas. Patches for Windows installer. * Olivier Aubert New magics. * King C. Shu Autoindent patch. * Chris Drexler Readline packages for Win32/CygWin. * Gustavo Cordova Avila EvalDict code for nice, lightweight string interpolation. * Kasper Souren Bug reports, ideas. * Gever Tulley Code contributions. * Ralf Schmitt Bug reports & fixes. * Oliver Sander Bug reports. * Rod Holland Bug reports and fixes to logging module. * Daniel 'Dang' Griffith Fixes, enhancement suggestions for system shell use. * Viktor Ransmayr Tests and reports on Windows installation issues. Contributed a true Windows binary installer. * Mike Salib Help fixing a subtle bug related to traceback printing. * W.J. van der Laan Bash-like prompt specials. * Antoon Pardon Critical fix for the multithreaded IPython. * John Hunter Matplotlib author, helped with all the development of support for matplotlib in IPython, including making necessary changes to matplotlib itself. * Matthew Arnison Bug reports, '%run -d' idea. * Prabhu Ramachandran Help with (X)Emacs support, threading patches, ideas... * Norbert Tretkowski help with Debian packaging and distribution. * George Sakkis New matcher for tab-completing named arguments of user-defined functions. * Jörgen Stenarson Wildcard support implementation for searching namespaces. * Vivian De Smedt Debugger enhancements, so that when pdb is activated from within IPython, coloring, tab completion and other features continue to work seamlessly. * Scott Tsai Support for automatic editor invocation on syntax errors (see http://www.scipy.net/roundup/ipython/issue36). * Alexander Belchenko Improvements for win32 paging system. * Will Maier Official OpenBSD port. * Ondrej Certik Set up the IPython docs to use the new Sphinx system used by Python, Matplotlib and many more projects. * Stefan van der Walt Design and prototype of the Traits based config system. ipython-2.4.1/docs/source/about/history.rst0000644000076500000000000000262412466235755021266 0ustar minrkwheel00000000000000.. _history: ======= History ======= Origins ======= IPython was starting in 2001 by Fernando Perez while he was a graduate student at the University of Colorado, Boulder. IPython as we know it today grew out of the following three projects: * ipython by Fernando Pérez. Fernando began using Python and ipython began as an outgrowth of his desire for things like Mathematica-style prompts, access to previous output (again like Mathematica's % syntax) and a flexible configuration system (something better than :envvar:`PYTHONSTARTUP`). * IPP by Janko Hauser. Very well organized, great usability. Had an old help system. IPP was used as the "container" code into which Fernando added the functionality from ipython and LazyPython. * LazyPython by Nathan Gray. Simple but very powerful. The quick syntax (auto parens, auto quotes) and verbose/colored tracebacks were all taken from here. Here is how Fernando describes the early history of IPython: When I found out about IPP and LazyPython I tried to join all three into a unified system. I thought this could provide a very nice working environment, both for regular programming and scientific computing: shell-like features, IDL/Matlab numerics, Mathematica-type prompt history and great object introspection and help facilities. I think it worked reasonably well, though it was a lot more work than I had initially planned. ipython-2.4.1/docs/source/about/index.rst0000644000076500000000000000021312466235755020664 0ustar minrkwheel00000000000000.. _about_index: ============= About IPython ============= .. toctree:: :maxdepth: 1 credits history license_and_copyright ipython-2.4.1/docs/source/about/license_and_copyright.rst0000644000076500000000000000723312466235755024122 0ustar minrkwheel00000000000000.. _license: ===================== License and Copyright ===================== License ======= IPython is licensed under the terms of the new or revised BSD license, as follows:: Copyright (c) 2011, IPython Development Team All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of the IPython Development Team nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. About the IPython Development Team ================================== Fernando Perez began IPython in 2001 based on code from Janko Hauser and Nathaniel Gray . Fernando is still the project lead. The IPython Development Team is the set of all contributors to the IPython project. This includes all of the IPython subprojects. Here is a list of the currently active contributors: * Matthieu Brucher * Ondrej Certik * Laurent Dufrechou * Robert Kern * Thomas Kluyver * Brian E. Granger * Paul Ivanov * Evan Patterson * Fernando Perez (project leader) * Benjamin Ragan-Kelley * Ville M. Vainio * Gael Varoququx * Stefan van der Walt * Barry Wark If your name is missing, please add it. Our Copyright Policy ==================== IPython uses a shared copyright model. Each contributor maintains copyright over their contributions to IPython. But, it is important to note that these contributions are typically only changes (diffs/commits) to the repositories. Thus, the IPython source code, in its entirety is not the copyright of any single person or institution. Instead, it is the collective copyright of the entire IPython Development Team. If individual contributors want to maintain a record of what changes/contributions they have specific copyright on, they should indicate their copyright in the commit message of the change, when they commit the change to one of the IPython repositories. Any new code contributed to IPython must be licensed under the BSD license or a similar (MIT) open source license. Miscellaneous ============= Some files (DPyGetOpt.py, for example) may be licensed under different conditions. Ultimately each file indicates clearly the conditions under which its author/authors have decided to publish the code. Versions of IPython up to and including 0.6.3 were released under the GNU Lesser General Public License (LGPL), available at http://www.gnu.org/copyleft/lesser.html. ipython-2.4.1/docs/source/api/0000755000076500000000000000000012466236022016452 5ustar minrkwheel00000000000000ipython-2.4.1/docs/source/api/index.rst0000644000076500000000000000024312466235755020326 0ustar minrkwheel00000000000000.. _api-index: ################### The IPython API ################### .. htmlonly:: :Release: |version| :Date: |today| .. include:: generated/gen.txt ipython-2.4.1/docs/source/conf.py0000644000076500000000000001727112466235755017224 0ustar minrkwheel00000000000000# -*- coding: utf-8 -*- # # IPython documentation build configuration file. # NOTE: This file has been edited manually from the auto-generated one from # sphinx. Do NOT delete and re-generate. If any changes from sphinx are # needed, generate a scratch one and merge by hand any new fields needed. # # 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 ON_RTD = os.environ.get('READTHEDOCS', None) == 'True' if ON_RTD: # Mock the presence of matplotlib, which we don't have on RTD # see # http://read-the-docs.readthedocs.org/en/latest/faq.html tags.add('rtd') # 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.insert(0, os.path.abspath('../sphinxext')) # We load the ipython release info into a dict by explicit execution iprelease = {} execfile('../../IPython/core/release.py',iprelease) # General configuration # --------------------- # Add any Sphinx extension module names here, as strings. They can be extensions # coming with Sphinx (named 'sphinx.ext.*') or your custom ones. extensions = [ 'matplotlib.sphinxext.mathmpl', 'matplotlib.sphinxext.only_directives', 'matplotlib.sphinxext.plot_directive', 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.doctest', 'sphinx.ext.inheritance_diagram', 'sphinx.ext.intersphinx', 'IPython.sphinxext.ipython_console_highlighting', 'IPython.sphinxext.ipython_directive', 'numpydoc', # to preprocess docstrings 'github', # for easy GitHub links ] if ON_RTD: # Remove extensions not currently supported on RTD extensions.remove('matplotlib.sphinxext.only_directives') extensions.remove('matplotlib.sphinxext.mathmpl') extensions.remove('matplotlib.sphinxext.plot_directive') extensions.remove('IPython.sphinxext.ipython_directive') extensions.remove('IPython.sphinxext.ipython_console_highlighting') # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix of source filenames. source_suffix = '.rst' if iprelease['_version_extra'] == 'dev': rst_prolog = """ .. note:: This documentation is for a development version of IPython. There may be significant differences from the latest stable release. """ # The master toctree document. master_doc = 'index' # General substitutions. project = 'IPython' copyright = 'The IPython Development Team' # ghissue config github_project_url = "https://github.com/ipython/ipython" # numpydoc config numpydoc_show_class_members = False # Otherwise Sphinx emits thousands of warnings numpydoc_class_members_toctree = False # The default replacements for |version| and |release|, also used in various # other places throughout the built documents. # # The full version, including alpha/beta/rc tags. release = "%s" % iprelease['version'] # Just the X.Y.Z part, no '-dev' version = iprelease['version'].split('-', 1)[0] # 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 = [] # Exclude these glob-style patterns when looking for source files. They are # relative to the source/ directory. exclude_patterns = ['whatsnew/pr'] # 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 = 'default.css' # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". #html_title = None # The name of an image file (within the static path) to place at the top of # the sidebar. #html_logo = None # 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 = { 'interactive/htmlnotebook': 'notebook_redirect.html', 'interactive/notebook': 'notebook_redirect.html', 'interactive/nbconvert': 'notebook_redirect.html', 'interactive/public_server': 'notebook_redirect.html', } # If false, no module index is generated. #html_use_modindex = True # 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 = '' # Output file base name for HTML help builder. htmlhelp_basename = 'ipythondoc' intersphinx_mapping = {'python': ('http://docs.python.org/2/', None)} # Options for LaTeX output # ------------------------ # The paper size ('letter' or 'a4'). latex_paper_size = 'letter' # The font size ('10pt', '11pt' or '12pt'). latex_font_size = '11pt' # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, document class [howto/manual]). latex_documents = [ ('index', 'ipython.tex', 'IPython Documentation', ur"""The IPython Development Team""", 'manual', True), ('parallel/winhpc_index', 'winhpc_whitepaper.tex', 'Using IPython on Windows HPC Server 2008', ur"Brian E. Granger", 'manual', True) ] # 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 = '' # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. latex_use_modindex = True # Options for texinfo output # -------------------------- texinfo_documents = [ (master_doc, 'ipython', 'IPython Documentation', 'The IPython Development Team', 'IPython', 'IPython Documentation', 'Programming', 1), ] modindex_common_prefix = ['IPython.'] # Cleanup # ------- # delete release info to avoid pickling errors from sphinx del iprelease ipython-2.4.1/docs/source/config/0000755000076500000000000000000012466236022017146 5ustar minrkwheel00000000000000ipython-2.4.1/docs/source/config/callbacks.rst0000644000076500000000000000255112466235755021636 0ustar minrkwheel00000000000000===================== Registering callbacks ===================== Extension code can register callbacks functions which will be called on specific events within the IPython code. You can see the current list of available callbacks, and the parameters that will be passed with each, in the callback prototype functions defined in :mod:`IPython.core.callbacks`. To register callbacks, use :meth:`IPython.core.events.EventManager.register`. For example:: class VarWatcher(object): def __init__(self, ip): self.shell = ip self.last_x = None def pre_execute(self): self.last_x = self.shell.user_ns.get('x', None) def post_execute(self): if self.shell.user_ns.get('x', None) != self.last_x: print("x changed!") def load_ipython_extension(ip): vw = VarWatcher(ip) ip.events.register('pre_execute', vw.pre_execute) ip.events.register('post_execute', vw.post_execute) .. note:: This API is experimental in IPython 2.0, and may be revised in future versions. .. seealso:: Module :mod:`IPython.core.hooks` The older 'hooks' system allows end users to customise some parts of IPython's behaviour. :doc:`inputtransforms` By registering input transformers that don't change code, you can monitor what is being executed. ipython-2.4.1/docs/source/config/details.rst0000644000076500000000000002353712466235755021353 0ustar minrkwheel00000000000000======================= Specific config details ======================= Prompts ======= In the terminal, the format of the input and output prompts can be customised. This does not currently affect other frontends. The following codes in the prompt string will be substituted into the prompt string: ====== =================================== ===================================================== Short Long Notes ====== =================================== ===================================================== %n,\\# {color.number}{count}{color.prompt} history counter with bolding \\N {count} history counter without bolding \\D {dots} series of dots the same width as the history counter \\T {time} current time \\w {cwd} current working directory \\W {cwd_last} basename of CWD \\Xn {cwd_x[n]} Show the last n terms of the CWD. n=0 means show all. \\Yn {cwd_y[n]} Like \Xn, but show '~' for $HOME \\h hostname, up to the first '.' \\H full hostname \\u username (from the $USER environment variable) \\v IPython version \\$ root symbol ("$" for normal user or "#" for root) ``\\`` escaped '\\' \\n newline \\r carriage return n/a {color.} set terminal colour - see below for list of names ====== =================================== ===================================================== Available colour names are: Black, BlinkBlack, BlinkBlue, BlinkCyan, BlinkGreen, BlinkLightGray, BlinkPurple, BlinkRed, BlinkYellow, Blue, Brown, Cyan, DarkGray, Green, LightBlue, LightCyan, LightGray, LightGreen, LightPurple, LightRed, Purple, Red, White, Yellow. The selected colour scheme also defines the names *prompt* and *number*. Finally, the name *normal* resets the terminal to its default colour. So, this config:: c.PromptManager.in_template = "{color.LightGreen}{time}{color.Yellow} \u{color.normal}>>>" will produce input prompts with the time in light green, your username in yellow, and a ``>>>`` prompt in the default terminal colour. .. _termcolour: Terminal Colors =============== The default IPython configuration has most bells and whistles turned on (they're pretty safe). But there's one that may cause problems on some systems: the use of color on screen for displaying information. This is very useful, since IPython can show prompts and exception tracebacks with various colors, display syntax-highlighted source code, and in general make it easier to visually parse information. The following terminals seem to handle the color sequences fine: * Linux main text console, KDE Konsole, Gnome Terminal, E-term, rxvt, xterm. * CDE terminal (tested under Solaris). This one boldfaces light colors. * (X)Emacs buffers. See the :ref:`emacs` section for more details on using IPython with (X)Emacs. * A Windows (XP/2k) command prompt with pyreadline_. * A Windows (XP/2k) CygWin shell. Although some users have reported problems; it is not clear whether there is an issue for everyone or only under specific configurations. If you have full color support under cygwin, please post to the IPython mailing list so this issue can be resolved for all users. .. _pyreadline: https://code.launchpad.net/pyreadline These have shown problems: * Windows command prompt in WinXP/2k logged into a Linux machine via telnet or ssh. * Windows native command prompt in WinXP/2k, without Gary Bishop's extensions. Once Gary's readline library is installed, the normal WinXP/2k command prompt works perfectly. Currently the following color schemes are available: * NoColor: uses no color escapes at all (all escapes are empty '' '' strings). This 'scheme' is thus fully safe to use in any terminal. * Linux: works well in Linux console type environments: dark background with light fonts. It uses bright colors for information, so it is difficult to read if you have a light colored background. * LightBG: the basic colors are similar to those in the Linux scheme but darker. It is easy to read in terminals with light backgrounds. IPython uses colors for two main groups of things: prompts and tracebacks which are directly printed to the terminal, and the object introspection system which passes large sets of data through a pager. If you are seeing garbage sequences in your terminal and no colour, you may need to disable colours: run ``%colors NoColor`` inside IPython, or add this to a config file:: c.InteractiveShell.colors = 'NoColor' Colors in the pager ------------------- On some systems, the default pager has problems with ANSI colour codes. To configure your default pager to allow these: 1. Set the environment PAGER variable to ``less``. 2. Set the environment LESS variable to ``-r`` (plus any other options you always want to pass to less by default). This tells less to properly interpret control sequences, which is how color information is given to your terminal. .. _editors: Editor configuration ==================== IPython can integrate with text editors in a number of different ways: * Editors (such as `(X)Emacs`_, vim_ and TextMate_) can send code to IPython for execution. * IPython's ``%edit`` magic command can open an editor of choice to edit a code block. The %edit command (and its alias %ed) will invoke the editor set in your environment as :envvar:`EDITOR`. If this variable is not set, it will default to vi under Linux/Unix and to notepad under Windows. You may want to set this variable properly and to a lightweight editor which doesn't take too long to start (that is, something other than a new instance of Emacs). This way you can edit multi-line code quickly and with the power of a real editor right inside IPython. You can also control the editor by setting :attr:`TerminalInteractiveShell.editor` in :file:`ipython_config.py`. Vim --- Paul Ivanov's `vim-ipython `_ provides powerful IPython integration for vim. .. _emacs: (X)Emacs -------- If you are a dedicated Emacs user, and want to use Emacs when IPython's ``%edit`` magic command is called you should set up the Emacs server so that new requests are handled by the original process. This means that almost no time is spent in handling the request (assuming an Emacs process is already running). For this to work, you need to set your EDITOR environment variable to 'emacsclient'. The code below, supplied by Francois Pinard, can then be used in your :file:`.emacs` file to enable the server: .. code-block:: common-lisp (defvar server-buffer-clients) (when (and (fboundp 'server-start) (string-equal (getenv "TERM") 'xterm)) (server-start) (defun fp-kill-server-with-buffer-routine () (and server-buffer-clients (server-done))) (add-hook 'kill-buffer-hook 'fp-kill-server-with-buffer-routine)) Thanks to the work of Alexander Schmolck and Prabhu Ramachandran, currently (X)Emacs and IPython get along very well in other ways. .. note:: You will need to use a recent enough version of :file:`python-mode.el`, along with the file :file:`ipython.el`. You can check that the version you have of :file:`python-mode.el` is new enough by either looking at the revision number in the file itself, or asking for it in (X)Emacs via ``M-x py-version``. Versions 4.68 and newer contain the necessary fixes for proper IPython support. The file :file:`ipython.el` is included with the IPython distribution, in the directory :file:`docs/emacs`. Once you put these files in your Emacs path, all you need in your :file:`.emacs` file is: .. code-block:: common-lisp (require 'ipython) This should give you full support for executing code snippets via IPython, opening IPython as your Python shell via ``C-c !``, etc. You can customize the arguments passed to the IPython instance at startup by setting the ``py-python-command-args`` variable. For example, to start always with ``matplotlib`` integration and hardcoded light-background colors, you can use: .. code-block:: common-lisp (setq py-python-command-args '("--matplotlib" "--colors" "LightBG")) If you happen to get garbage instead of colored prompts as described in the previous section, you may need to set also in your :file:`.emacs` file: .. code-block:: common-lisp (setq ansi-color-for-comint-mode t) Notes on emacs support: .. This looks hopelessly out of date - can someone update it? * There is one caveat you should be aware of: you must start the IPython shell before attempting to execute any code regions via ``C-c |``. Simply type ``C-c !`` to start IPython before passing any code regions to the interpreter, and you shouldn't experience any problems. This is due to a bug in Python itself, which has been fixed for Python 2.3, but exists as of Python 2.2.2 (reported as SF bug [ 737947 ]). * The (X)Emacs support is maintained by Alexander Schmolck, so all comments/requests should be directed to him through the IPython mailing lists. * This code is still somewhat experimental so it's a bit rough around the edges (although in practice, it works quite well). * Be aware that if you customized ``py-python-command`` previously, this value will override what :file:`ipython.el` does (because loading the customization variables comes later). .. _`(X)Emacs`: http://www.gnu.org/software/emacs/ .. _TextMate: http://macromates.com/ .. _vim: http://www.vim.org/ ipython-2.4.1/docs/source/config/extensions/0000755000076500000000000000000012466236022021345 5ustar minrkwheel00000000000000ipython-2.4.1/docs/source/config/extensions/autoreload.rst0000644000076500000000000000015412466235755024252 0ustar minrkwheel00000000000000.. _extensions_autoreload: ========== autoreload ========== .. automodule:: IPython.extensions.autoreload ipython-2.4.1/docs/source/config/extensions/cythonmagic.rst0000644000076500000000000000016112466235755024416 0ustar minrkwheel00000000000000.. _extensions_cythonmagic: =========== cythonmagic =========== .. automodule:: IPython.extensions.cythonmagic ipython-2.4.1/docs/source/config/extensions/index.rst0000644000076500000000000000656712466235755023240 0ustar minrkwheel00000000000000.. _extensions_overview: ================== IPython extensions ================== A level above configuration are IPython extensions, Python modules which modify the behaviour of the shell. They are referred to by an importable module name, and can be placed anywhere you'd normally import from, or in ``.ipython/extensions/``. Getting extensions ================== A few important extensions are :ref:`bundled with IPython `. Others can be found on the `extensions index `_ on the wiki, and the `Framework :: IPython tag `_ on PyPI. Extensions on PyPI can be installed using ``pip``, like any other Python package. Other simple extensions can be installed with the ``%install_ext`` magic. The latter does no validation, so be careful using it on untrusted networks like public wifi. Using extensions ================ To load an extension while IPython is running, use the ``%load_ext`` magic: .. sourcecode:: ipython In [1]: %load_ext myextension To load it each time IPython starts, list it in your configuration file:: c.InteractiveShellApp.extensions = [ 'myextension' ] Writing extensions ================== An IPython extension is an importable Python module that has a couple of special functions to load and unload it. Here is a template:: # myextension.py def load_ipython_extension(ipython): # The `ipython` argument is the currently active `InteractiveShell` # instance, which can be used in any way. This allows you to register # new magics or aliases, for example. def unload_ipython_extension(ipython): # If you want your extension to be unloadable, put that logic here. This :func:`load_ipython_extension` function is called after your extension is imported, and the currently active :class:`~IPython.core.interactiveshell.InteractiveShell` instance is passed as the only argument. You can do anything you want with IPython at that point. :func:`load_ipython_extension` will be called again if you load or reload the extension again. It is up to the extension author to add code to manage that. Useful :class:`InteractiveShell` methods include :meth:`~IPython.core.interactiveshell.InteractiveShell.register_magic_function`, :meth:`~IPython.core.interactiveshell.InteractiveShell.push` (to add variables to the user namespace) and :meth:`~IPython.core.interactiveshell.InteractiveShell.drop_by_id` (to remove variables on unloading). .. seealso:: :ref:`defining_magics` You can put your extension modules anywhere you want, as long as they can be imported by Python's standard import mechanism. However, to make it easy to write extensions, you can also put your extensions in :file:`extensions/` within the :ref:`IPython directory `. This directory is added to :data:`sys.path` automatically. When your extension is ready for general use, please add it to the `extensions index `_. We also encourage you to upload it to PyPI and use the ``Framework :: IPython`` classifier, so that users can install it with standard packaging tools. .. _bundled_extensions: Extensions bundled with IPython =============================== .. toctree:: :maxdepth: 1 autoreload cythonmagic octavemagic rmagic storemagic sympyprinting ipython-2.4.1/docs/source/config/extensions/octavemagic.rst0000644000076500000000000000037512466235755024402 0ustar minrkwheel00000000000000.. _extensions_octavemagic: =========== octavemagic =========== .. note:: The octavemagic extension has been moved to `oct2py `_ as :mod:`oct2py.ipython`. .. automodule:: IPython.extensions.octavemagic ipython-2.4.1/docs/source/config/extensions/rmagic.rst0000644000076500000000000000035612466235755023361 0ustar minrkwheel00000000000000.. _extensions_rmagic: =========== rmagic =========== .. note:: The rmagic extension has been moved to `rpy2 `_ as :mod:`rpy2.interactive.ipython`. .. automodule:: IPython.extensions.rmagic ipython-2.4.1/docs/source/config/extensions/storemagic.rst0000644000076500000000000000021712466235755024250 0ustar minrkwheel00000000000000.. _extensions_storemagic: ========== storemagic ========== .. automodule:: IPython.extensions.storemagic .. automethod:: StoreMagics.store ipython-2.4.1/docs/source/config/extensions/sympyprinting.rst0000644000076500000000000000017312466235755025050 0ustar minrkwheel00000000000000.. _extensions_sympyprinting: ============= sympyprinting ============= .. automodule:: IPython.extensions.sympyprinting ipython-2.4.1/docs/source/config/index.rst0000644000076500000000000000075412466235755021031 0ustar minrkwheel00000000000000.. _config_index: =============================== Configuration and customization =============================== Configuring IPython ------------------- .. toctree:: :maxdepth: 2 intro options/index details .. seealso:: :doc:`/development/config` Technical details of the config system. Extending and integrating with IPython -------------------------------------- .. toctree:: :maxdepth: 2 extensions/index integrating inputtransforms callbacks ipython-2.4.1/docs/source/config/inputtransforms.rst0000644000076500000000000001300712466235755023173 0ustar minrkwheel00000000000000 =========================== Custom input transformation =========================== IPython extends Python syntax to allow things like magic commands, and help with the ``?`` syntax. There are several ways to customise how the user's input is processed into Python code to be executed. These hooks are mainly for other projects using IPython as the core of their interactive interface. Using them carelessly can easily break IPython! String based transformations ============================ .. currentmodule:: IPython.core.inputtransforms When the user enters a line of code, it is first processed as a string. By the end of this stage, it must be valid Python syntax. These transformers all subclass :class:`IPython.core.inputtransformer.InputTransformer`, and are used by :class:`IPython.core.inputsplitter.IPythonInputSplitter`. These transformers act in three groups, stored separately as lists of instances in attributes of :class:`~IPython.core.inputsplitter.IPythonInputSplitter`: * ``physical_line_transforms`` act on the lines as the user enters them. For example, these strip Python prompts from examples pasted in. * ``logical_line_transforms`` act on lines as connected by explicit line continuations, i.e. ``\`` at the end of physical lines. They are skipped inside multiline Python statements. This is the point where IPython recognises ``%magic`` commands, for instance. * ``python_line_transforms`` act on blocks containing complete Python statements. Multi-line strings, lists and function calls are reassembled before being passed to these, but note that function and class *definitions* are still a series of separate statements. IPython does not use any of these by default. An InteractiveShell instance actually has two :class:`~IPython.core.inputsplitter.IPythonInputSplitter` instances, as the attributes :attr:`~IPython.core.interactiveshell.InteractiveShell.input_splitter`, to tell when a block of input is complete, and :attr:`~IPython.core.interactiveshell.InteractiveShell.input_transformer_manager`, to transform complete cells. If you add a transformer, you should make sure that it gets added to both, e.g.:: ip.input_splitter.logical_line_transforms.append(my_transformer()) ip.input_transformer_manager.logical_line_transforms.append(my_transformer()) These transformers may raise :exc:`SyntaxError` if the input code is invalid, but in most cases it is clearer to pass unrecognised code through unmodified and let Python's own parser decide whether it is valid. .. versionchanged:: 2.0 Added the option to raise :exc:`SyntaxError`. Stateless transformations ------------------------- The simplest kind of transformations work one line at a time. Write a function which takes a line and returns a line, and decorate it with :meth:`StatelessInputTransformer.wrap`:: @StatelessInputTransformer.wrap def my_special_commands(line): if line.startswith("¬"): return "specialcommand(" + repr(line) + ")" return line The decorator returns a factory function which will produce instances of :class:`~IPython.core.inputtransformer.StatelessInputTransformer` using your function. Coroutine transformers ---------------------- More advanced transformers can be written as coroutines. The coroutine will be sent each line in turn, followed by ``None`` to reset it. It can yield lines, or ``None`` if it is accumulating text to yield at a later point. When reset, it should give up any code it has accumulated. This code in IPython strips a constant amount of leading indentation from each line in a cell:: @CoroutineInputTransformer.wrap def leading_indent(): """Remove leading indentation. If the first line starts with a spaces or tabs, the same whitespace will be removed from each following line until it is reset. """ space_re = re.compile(r'^[ \t]+') line = '' while True: line = (yield line) if line is None: continue m = space_re.match(line) if m: space = m.group(0) while line is not None: if line.startswith(space): line = line[len(space):] line = (yield line) else: # No leading spaces - wait for reset while line is not None: line = (yield line) leading_indent.look_in_string = True Token-based transformers ------------------------ There is an experimental framework that takes care of tokenizing and untokenizing lines of code. Define a function that accepts a list of tokens, and returns an iterable of output tokens, and decorate it with :meth:`TokenInputTransformer.wrap`. These should only be used in ``python_line_transforms``. AST transformations =================== After the code has been parsed as Python syntax, you can use Python's powerful *Abstract Syntax Tree* tools to modify it. Subclass :class:`ast.NodeTransformer`, and add an instance to ``shell.ast_transformers``. This example wraps integer literals in an ``Integer`` class, which is useful for mathematical frameworks that want to handle e.g. ``1/3`` as a precise fraction:: class IntegerWrapper(ast.NodeTransformer): """Wraps all integers in a call to Integer()""" def visit_Num(self, node): if isinstance(node.n, int): return ast.Call(func=ast.Name(id='Integer', ctx=ast.Load()), args=[node], keywords=[]) return node ipython-2.4.1/docs/source/config/integrating.rst0000644000076500000000000000305312466235755022230 0ustar minrkwheel00000000000000.. _integrating: ===================================== Integrating your objects with IPython ===================================== Tab completion ============== To change the attributes displayed by tab-completing your object, define a ``__dir__(self)`` method for it. For more details, see the documentation of the built-in `dir() function `_. Rich display ============ The notebook and the Qt console can display richer representations of objects. To use this, you can define any of a number of ``_repr_*_()`` methods. Note that these are surrounded by single, not double underscores. Both the notebook and the Qt console can display ``svg``, ``png`` and ``jpeg`` representations. The notebook can also display ``html``, ``javascript``, and ``latex``. If the methods don't exist, or return ``None``, it falls back to a standard ``repr()``. For example:: class Shout(object): def __init__(self, text): self.text = text def _repr_html_(self): return "

    " + self.text + "

    " Custom exception tracebacks =========================== Rarely, you might want to display a different traceback with an exception - IPython's own parallel computing framework does this to display errors from the engines. To do this, define a ``_render_traceback_(self)`` method which returns a list of strings, each containing one line of the traceback. Please be conservative in using this feature; by replacing the default traceback you may hide important information from the user. ipython-2.4.1/docs/source/config/intro.rst0000644000076500000000000001056512466235755021056 0ustar minrkwheel00000000000000===================================== Introduction to IPython configuration ===================================== .. _setting_config: Setting configurable options ============================ Many of IPython's classes have configurable attributes (see :doc:`options/index` for the list). These can be configured in several ways. Python config files ------------------- To create the blank config files, run:: ipython profile create [profilename] If you leave out the profile name, the files will be created for the ``default`` profile (see :ref:`profiles`). These will typically be located in :file:`~/.ipython/profile_default/`, and will be named :file:`ipython_config.py`, :file:`ipython_notebook_config.py`, etc. The settings in :file:`ipython_config.py` apply to all IPython commands. The files typically start by getting the root config object:: c = get_config() You can then configure class attributes like this:: c.InteractiveShell.automagic = False Be careful with spelling--incorrect names will simply be ignored, with no error. To add to a collection which may have already been defined elsewhere, you can use methods like those found on lists, dicts and sets: append, extend, :meth:`~IPython.config.loader.LazyConfigValue.prepend` (like extend, but at the front), add and update (which works both for dicts and sets):: c.InteractiveShellApp.extensions.append('rmagic') .. versionadded:: 2.0 list, dict and set methods for config values Example config file ``````````````````` :: # sample ipython_config.py c = get_config() c.TerminalIPythonApp.display_banner = True c.InteractiveShellApp.log_level = 20 c.InteractiveShellApp.extensions = [ 'myextension' ] c.InteractiveShellApp.exec_lines = [ 'import numpy', 'import scipy' ] c.InteractiveShellApp.exec_files = [ 'mycode.py', 'fancy.ipy' ] c.InteractiveShell.autoindent = True c.InteractiveShell.colors = 'LightBG' c.InteractiveShell.confirm_exit = False c.InteractiveShell.deep_reload = True c.InteractiveShell.editor = 'nano' c.InteractiveShell.xmode = 'Context' c.PromptManager.in_template = 'In [\#]: ' c.PromptManager.in2_template = ' .\D.: ' c.PromptManager.out_template = 'Out[\#]: ' c.PromptManager.justify = True c.PrefilterManager.multi_line_specials = True c.AliasManager.user_aliases = [ ('la', 'ls -al') ] Command line arguments ---------------------- Every configurable value can be set from the command line, using this syntax:: ipython --ClassName.attribute=value Many frequently used options have short aliases and flags, such as ``--matplotlib`` (to integrate with a matplotlib GUI event loop) or ``--pdb`` (automatic post-mortem debugging of exceptions). To see all of these abbreviated options, run:: ipython --help ipython notebook --help # etc. Options specified at the command line, in either format, override options set in a configuration file. The config magic ---------------- You can also modify config from inside IPython, using a magic command:: %config IPCompleter.greedy = True At present, this only affects the current session - changes you make to config are not saved anywhere. Also, some options are only read when IPython starts, so they can't be changed like this. .. _profiles: Profiles ======== IPython can use multiple profiles, with separate configuration and history. By default, if you don't specify a profile, IPython always runs in the ``default`` profile. To use a new profile:: ipython profile create foo # create the profile foo ipython --profile=foo # start IPython using the new profile Profiles are typically stored in :ref:`ipythondir`, but you can also keep a profile in the current working directory, for example to distribute it with a project. To find a profile directory on the filesystem:: ipython locate profile foo .. _ipythondir: The IPython directory ===================== IPython stores its files---config, command history and extensions---in the directory :file:`~/.ipython/` by default. .. envvar:: IPYTHONDIR If set, this environment variable should be the path to a directory, which IPython will use for user data. IPython will create it if it does not exist. .. option:: --ipython-dir= This command line option can also be used to override the default IPython directory. ipython-2.4.1/docs/source/config/options/0000755000076500000000000000000012466236022020641 5ustar minrkwheel00000000000000ipython-2.4.1/docs/source/config/options/index.rst0000644000076500000000000000037612466235755022524 0ustar minrkwheel00000000000000=============== IPython options =============== Any of the options listed here can be set in config files, at the command line, or from inside IPython. See :ref:`setting_config` for details. .. toctree:: terminal kernel notebook qtconsole ipython-2.4.1/docs/source/development/0000755000076500000000000000000012466236022020223 5ustar minrkwheel00000000000000ipython-2.4.1/docs/source/development/config.rst0000644000076500000000000005417612466235755022253 0ustar minrkwheel00000000000000.. _config_overview: ============================================ Overview of the IPython configuration system ============================================ This section describes the IPython configuration system. The main concepts ================= There are a number of abstractions that the IPython configuration system uses. Each of these abstractions is represented by a Python class. Configuration object: :class:`~IPython.config.loader.Config` A configuration object is a simple dictionary-like class that holds configuration attributes and sub-configuration objects. These classes support dotted attribute style access (``cfg.Foo.bar``) in addition to the regular dictionary style access (``cfg['Foo']['bar']``). The Config object is a wrapper around a simple dictionary with some convenience methods, such as merging and automatic section creation. Application: :class:`~IPython.config.application.Application` An application is a process that does a specific job. The most obvious application is the :command:`ipython` command line program. Each application reads *one or more* configuration files and a single set of command line options and then produces a master configuration object for the application. This configuration object is then passed to the configurable objects that the application creates. These configurable objects implement the actual logic of the application and know how to configure themselves given the configuration object. Applications always have a `log` attribute that is a configured Logger. This allows centralized logging configuration per-application. Configurable: :class:`~IPython.config.configurable.Configurable` A configurable is a regular Python class that serves as a base class for all main classes in an application. The :class:`~IPython.config.configurable.Configurable` base class is lightweight and only does one things. This :class:`~IPython.config.configurable.Configurable` is a subclass of :class:`~IPython.utils.traitlets.HasTraits` that knows how to configure itself. Class level traits with the metadata ``config=True`` become values that can be configured from the command line and configuration files. Developers create :class:`~IPython.config.configurable.Configurable` subclasses that implement all of the logic in the application. Each of these subclasses has its own configuration information that controls how instances are created. Singletons: :class:`~IPython.config.configurable.SingletonConfigurable` Any object for which there is a single canonical instance. These are just like Configurables, except they have a class method :meth:`~IPython.config.configurable.SingletonConfigurable.instance`, that returns the current active instance (or creates one if it does not exist). Examples of singletons include :class:`~IPython.config.application.Application`s and :class:`~IPython.core.interactiveshell.InteractiveShell`. This lets objects easily connect to the current running Application without passing objects around everywhere. For instance, to get the current running Application instance, simply do: ``app = Application.instance()``. .. note:: Singletons are not strictly enforced - you can have many instances of a given singleton class, but the :meth:`instance` method will always return the same one. Having described these main concepts, we can now state the main idea in our configuration system: *"configuration" allows the default values of class attributes to be controlled on a class by class basis*. Thus all instances of a given class are configured in the same way. Furthermore, if two instances need to be configured differently, they need to be instances of two different classes. While this model may seem a bit restrictive, we have found that it expresses most things that need to be configured extremely well. However, it is possible to create two instances of the same class that have different trait values. This is done by overriding the configuration. Now, we show what our configuration objects and files look like. Configuration objects and files =============================== A configuration object is little more than a wrapper around a dictionary. A configuration *file* is simply a mechanism for producing that object. The main IPython configuration file is a plain Python script, which can perform extensive logic to populate the config object. IPython 2.0 introduces a JSON configuration file, which is just a direct JSON serialization of the config dictionary, which is easily processed by external software. When both Python and JSON configuration file are present, both will be loaded, with JSON configuration having higher priority. Python configuration Files -------------------------- A Python configuration file is a pure Python file that populates a configuration object. This configuration object is a :class:`~IPython.config.loader.Config` instance. While in a configuration file, to get a reference to this object, simply call the :func:`get_config` function, which is available in the global namespace of the script. Here is an example of a super simple configuration file that does nothing:: c = get_config() Once you get a reference to the configuration object, you simply set attributes on it. All you have to know is: * The name of the class to configure. * The name of the attribute. * The type of each attribute. The answers to these questions are provided by the various :class:`~IPython.config.configurable.Configurable` subclasses that an application uses. Let's look at how this would work for a simple configurable subclass:: # Sample configurable: from IPython.config.configurable import Configurable from IPython.utils.traitlets import Int, Float, Unicode, Bool class MyClass(Configurable): name = Unicode(u'defaultname', config=True) ranking = Int(0, config=True) value = Float(99.0) # The rest of the class implementation would go here.. In this example, we see that :class:`MyClass` has three attributes, two of which (``name``, ``ranking``) can be configured. All of the attributes are given types and default values. If a :class:`MyClass` is instantiated, but not configured, these default values will be used. But let's see how to configure this class in a configuration file:: # Sample config file c = get_config() c.MyClass.name = 'coolname' c.MyClass.ranking = 10 After this configuration file is loaded, the values set in it will override the class defaults anytime a :class:`MyClass` is created. Furthermore, these attributes will be type checked and validated anytime they are set. This type checking is handled by the :mod:`IPython.utils.traitlets` module, which provides the :class:`Unicode`, :class:`Int` and :class:`Float` types. In addition to these traitlets, the :mod:`IPython.utils.traitlets` provides traitlets for a number of other types. .. note:: Underneath the hood, the :class:`Configurable` base class is a subclass of :class:`IPython.utils.traitlets.HasTraits`. The :mod:`IPython.utils.traitlets` module is a lightweight version of :mod:`enthought.traits`. Our implementation is a pure Python subset (mostly API compatible) of :mod:`enthought.traits` that does not have any of the automatic GUI generation capabilities. Our plan is to achieve 100% API compatibility to enable the actual :mod:`enthought.traits` to eventually be used instead. Currently, we cannot use :mod:`enthought.traits` as we are committed to the core of IPython being pure Python. It should be very clear at this point what the naming convention is for configuration attributes:: c.ClassName.attribute_name = attribute_value Here, ``ClassName`` is the name of the class whose configuration attribute you want to set, ``attribute_name`` is the name of the attribute you want to set and ``attribute_value`` the the value you want it to have. The ``ClassName`` attribute of ``c`` is not the actual class, but instead is another :class:`~IPython.config.loader.Config` instance. .. note:: The careful reader may wonder how the ``ClassName`` (``MyClass`` in the above example) attribute of the configuration object ``c`` gets created. These attributes are created on the fly by the :class:`~IPython.config.loader.Config` instance, using a simple naming convention. Any attribute of a :class:`~IPython.config.loader.Config` instance whose name begins with an uppercase character is assumed to be a sub-configuration and a new empty :class:`~IPython.config.loader.Config` instance is dynamically created for that attribute. This allows deeply hierarchical information created easily (``c.Foo.Bar.value``) on the fly. JSON configuration Files ------------------------ A JSON configuration file is simply a file that contains a :class:`~IPython.config.loader.Config` dictionary serialized to JSON. A JSON configuration file has the same base name as a Python configuration file, but with a .json extension. Configuration described in previous section could be written as follows in a JSON configuration file: .. sourcecode:: json { "version": "1.0", "MyClass": { "name": "coolname", "ranking": 10 } } JSON configuration files can be more easily generated or processed by programs or other languages. Configuration files inheritance =============================== .. note:: This section only apply to Python configuration files. Let's say you want to have different configuration files for various purposes. Our configuration system makes it easy for one configuration file to inherit the information in another configuration file. The :func:`load_subconfig` command can be used in a configuration file for this purpose. Here is a simple example that loads all of the values from the file :file:`base_config.py`:: # base_config.py c = get_config() c.MyClass.name = 'coolname' c.MyClass.ranking = 100 into the configuration file :file:`main_config.py`:: # main_config.py c = get_config() # Load everything from base_config.py load_subconfig('base_config.py') # Now override one of the values c.MyClass.name = 'bettername' In a situation like this the :func:`load_subconfig` makes sure that the search path for sub-configuration files is inherited from that of the parent. Thus, you can typically put the two in the same directory and everything will just work. You can also load configuration files by profile, for instance: .. sourcecode:: python load_subconfig('ipython_config.py', profile='default') to inherit your default configuration as a starting point. Class based configuration inheritance ===================================== There is another aspect of configuration where inheritance comes into play. Sometimes, your classes will have an inheritance hierarchy that you want to be reflected in the configuration system. Here is a simple example:: from IPython.config.configurable import Configurable from IPython.utils.traitlets import Int, Float, Unicode, Bool class Foo(Configurable): name = Unicode(u'fooname', config=True) value = Float(100.0, config=True) class Bar(Foo): name = Unicode(u'barname', config=True) othervalue = Int(0, config=True) Now, we can create a configuration file to configure instances of :class:`Foo` and :class:`Bar`:: # config file c = get_config() c.Foo.name = u'bestname' c.Bar.othervalue = 10 This class hierarchy and configuration file accomplishes the following: * The default value for :attr:`Foo.name` and :attr:`Bar.name` will be 'bestname'. Because :class:`Bar` is a :class:`Foo` subclass it also picks up the configuration information for :class:`Foo`. * The default value for :attr:`Foo.value` and :attr:`Bar.value` will be ``100.0``, which is the value specified as the class default. * The default value for :attr:`Bar.othervalue` will be 10 as set in the configuration file. Because :class:`Foo` is the parent of :class:`Bar` it doesn't know anything about the :attr:`othervalue` attribute. .. _ipython_dir: Configuration file location =========================== So where should you put your configuration files? IPython uses "profiles" for configuration, and by default, all profiles will be stored in the so called "IPython directory". The location of this directory is determined by the following algorithm: * If the ``ipython-dir`` command line flag is given, its value is used. * If not, the value returned by :func:`IPython.utils.path.get_ipython_dir` is used. This function will first look at the :envvar:`IPYTHONDIR` environment variable and then default to :file:`~/.ipython`. Historical support for the :envvar:`IPYTHON_DIR` environment variable will be removed in a future release. For most users, the configuration directory will be :file:`~/.ipython`. Previous versions of IPython on Linux would use the XDG config directory, creating :file:`~/.config/ipython` by default. We have decided to go back to :file:`~/.ipython` for consistency among systems. IPython will issue a warning if it finds the XDG location, and will move it to the new location if there isn't already a directory there. Once the location of the IPython directory has been determined, you need to know which profile you are using. For users with a single configuration, this will simply be 'default', and will be located in :file:`/profile_default`. The next thing you need to know is what to call your configuration file. The basic idea is that each application has its own default configuration filename. The default named used by the :command:`ipython` command line program is :file:`ipython_config.py`, and *all* IPython applications will use this file. Other applications, such as the parallel :command:`ipcluster` scripts or the QtConsole will load their own config files *after* :file:`ipython_config.py`. To load a particular configuration file instead of the default, the name can be overridden by the ``config_file`` command line flag. To generate the default configuration files, do:: $ ipython profile create and you will have a default :file:`ipython_config.py` in your IPython directory under :file:`profile_default`. If you want the default config files for the :mod:`IPython.parallel` applications, add ``--parallel`` to the end of the command-line args. Locating these files -------------------- From the command-line, you can quickly locate the IPYTHONDIR or a specific profile with: .. sourcecode:: bash $ ipython locate /home/you/.ipython $ ipython locate profile foo /home/you/.ipython/profile_foo These map to the utility functions: :func:`IPython.utils.path.get_ipython_dir` and :func:`IPython.utils.path.locate_profile` respectively. .. _profiles_dev: Profiles ======== A profile is a directory containing configuration and runtime files, such as logs, connection info for the parallel apps, and your IPython command history. The idea is that users often want to maintain a set of configuration files for different purposes: one for doing numerical computing with NumPy and SciPy and another for doing symbolic computing with SymPy. Profiles make it easy to keep a separate configuration files, logs, and histories for each of these purposes. Let's start by showing how a profile is used: .. code-block:: bash $ ipython --profile=sympy This tells the :command:`ipython` command line program to get its configuration from the "sympy" profile. The file names for various profiles do not change. The only difference is that profiles are named in a special way. In the case above, the "sympy" profile means looking for :file:`ipython_config.py` in :file:`/profile_sympy`. The general pattern is this: simply create a new profile with: .. code-block:: bash $ ipython profile create which adds a directory called ``profile_`` to your IPython directory. Then you can load this profile by adding ``--profile=`` to your command line options. Profiles are supported by all IPython applications. IPython ships with some sample profiles in :file:`IPython/config/profile`. If you create profiles with the name of one of our shipped profiles, these config files will be copied over instead of starting with the automatically generated config files. Security Files -------------- If you are using the notebook, qtconsole, or parallel code, IPython stores connection information in small JSON files in the active profile's security directory. This directory is made private, so only you can see the files inside. If you need to move connection files around to other computers, this is where they will be. If you want your code to be able to open security files by name, we have a convenience function :func:`IPython.utils.path.get_security_file`, which will return the absolute path to a security file from its filename and [optionally] profile name. .. _startup_files: Startup Files ------------- If you want some code to be run at the beginning of every IPython session with a particular profile, the easiest way is to add Python (``.py``) or IPython (``.ipy``) scripts to your :file:`/startup` directory. Files in this directory will always be executed as soon as the IPython shell is constructed, and before any other code or scripts you have specified. If you have multiple files in the startup directory, they will be run in lexicographical order, so you can control the ordering by adding a '00-' prefix. .. _commandline: Command-line arguments ====================== IPython exposes *all* configurable options on the command-line. The command-line arguments are generated from the Configurable traits of the classes associated with a given Application. Configuring IPython from the command-line may look very similar to an IPython config file IPython applications use a parser called :class:`~IPython.config.loader.KeyValueLoader` to load values into a Config object. Values are assigned in much the same way as in a config file: .. code-block:: bash $ ipython --InteractiveShell.use_readline=False --BaseIPythonApplication.profile='myprofile' Is the same as adding: .. sourcecode:: python c.InteractiveShell.use_readline=False c.BaseIPythonApplication.profile='myprofile' to your config file. Key/Value arguments *always* take a value, separated by '=' and no spaces. Common Arguments ---------------- Since the strictness and verbosity of the KVLoader above are not ideal for everyday use, common arguments can be specified as flags_ or aliases_. Flags and Aliases are handled by :mod:`argparse` instead, allowing for more flexible parsing. In general, flags and aliases are prefixed by ``--``, except for those that are single characters, in which case they can be specified with a single ``-``, e.g.: .. code-block:: bash $ ipython -i -c "import numpy; x=numpy.linspace(0,1)" --profile testing --colors=lightbg Aliases ******* For convenience, applications have a mapping of commonly used traits, so you don't have to specify the whole class name: .. code-block:: bash $ ipython --profile myprofile # and $ ipython --profile='myprofile' # are equivalent to $ ipython --BaseIPythonApplication.profile='myprofile' Flags ***** Applications can also be passed **flags**. Flags are options that take no arguments. They are simply wrappers for setting one or more configurables with predefined values, often True/False. For instance: .. code-block:: bash $ ipcontroller --debug # is equivalent to $ ipcontroller --Application.log_level=DEBUG # and $ ipython --matplotlib # is equivalent to $ ipython --matplotlib auto # or $ ipython --no-banner # is equivalent to $ ipython --TerminalIPythonApp.display_banner=False Subcommands ----------- Some IPython applications have **subcommands**. Subcommands are modeled after :command:`git`, and are called with the form :command:`command subcommand [...args]`. Currently, the QtConsole is a subcommand of terminal IPython: .. code-block:: bash $ ipython qtconsole --profile myprofile and :command:`ipcluster` is simply a wrapper for its various subcommands (start, stop, engines). .. code-block:: bash $ ipcluster start --profile=myprofile -n 4 To see a list of the available aliases, flags, and subcommands for an IPython application, simply pass ``-h`` or ``--help``. And to see the full list of configurable options (*very* long), pass ``--help-all``. Design requirements =================== Here are the main requirements we wanted our configuration system to have: * Support for hierarchical configuration information. * Full integration with command line option parsers. Often, you want to read a configuration file, but then override some of the values with command line options. Our configuration system automates this process and allows each command line option to be linked to a particular attribute in the configuration hierarchy that it will override. * Configuration files that are themselves valid Python code. This accomplishes many things. First, it becomes possible to put logic in your configuration files that sets attributes based on your operating system, network setup, Python version, etc. Second, Python has a super simple syntax for accessing hierarchical data structures, namely regular attribute access (``Foo.Bar.Bam.name``). Third, using Python makes it easy for users to import configuration attributes from one configuration file to another. Fourth, even though Python is dynamically typed, it does have types that can be checked at runtime. Thus, a ``1`` in a config file is the integer '1', while a ``'1'`` is a string. * A fully automated method for getting the configuration information to the classes that need it at runtime. Writing code that walks a configuration hierarchy to extract a particular attribute is painful. When you have complex configuration information with hundreds of attributes, this makes you want to cry. * Type checking and validation that doesn't require the entire configuration hierarchy to be specified statically before runtime. 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Ym6/TА6!A@H [w755Gf uy hMkEnA UnR+W bNU9Hz_8p3NWjj7?W 5 ,^hW\{ޥeh}6| lJtji;TQ#ۓZuۑ JAq (43kl>wgg-I@OL@:ظ dkD-V?? \"S:ppFGPU7jhRZHò z#בFv.mHx_[/jRL` ^) l~S$0;} uh>"kMڛ)n ExUWWDKׇel Y# m~ NHWh=IzCn= 0a=ԠG/XаtiH糖qĬ?ny},{o#3ǁEg$HB^"@=kZ%A:P"&#:fמ=jT@k޻aP0L` ݌A.dsbIun^`c0ت&zÃ{pgĤY=:2Jɥq\p5 k>ɵL`xG NI~P^w#ulv=VQ:eCHTllfeZ_nD,\2D܆C/Fr':~koMķ/6Le7qQGsF&u9[ mq/2O o@ /;.߶DJ[KWc.7O=r )e ^@VdL޻Kh YQ># aD]!ѧ:٧7^h|.ȴ9"ZP.K3}33$&둁c>;?>mDHv?O[A6~ 23 u˯@kkT2\yQ%cU%[[Ⱦf:ӈľ ;xdH #/qWS(XꁜfP )5U_iˁ6;vL&gE.ę΅}`.#_5#> 5Wet#L3 G*}8|A¶/"+T8: R4kkk]}ᇦJr $eGde2mP60#~` lPể**B.MB?Ԇ4Ƿ u"ºG~AǠLT}MCM7eǟpBmqN}{@ǛLnE{?ᜲa7^Cݎ;Lm[>q}d9{zs.3GAAmٲP|,MMyaq+W"nF8E[ ]^z{s챲{uŎ͗_qyʡ #?sibu|wښ֯/}!1ևB/ *kz26q!|ޮ{bJJKYlvup/ ]"ZIHXQڕ*H:`љd o۶8|wg[iK,vWR!D͈f33e˯z]L`HK42َBd' U:\(ej,C@G].;lmB@p__RCrb$ 6auvĺ|TRGٞ1`cd5IE[d ٵs(jTLeYPK΅~߮N| $* A .K;z.q|+K` #Qd6OHl#$+5b` dkH8<4D, Q5s1 &0FZFbTHBLAt HBX^^! { <`c؊fm^u2lWH0<[;P Rc '﹨ `c0DG .((UԴ8;DcLmunjjSHjz[CCCF8qNz.HBz` \В`0 `c0  `0 &0`01 `0 `0 `c0  `0 &0`01 `0 `0 `c0  `0L` `01 `0 `02_6IENDB`ipython-2.4.1/docs/source/development/index.rst0000644000076500000000000000127412466235755022104 0ustar minrkwheel00000000000000.. _developer_guide: ========================= IPython developer's guide ========================= This are two categories of developer focused documentation: 1. Documentation for developers of *IPython itself*. 2. Documentation for developers of third party tools and libraries that use IPython. This part of our documentation only contains information in the second category. Developers interested in working on IPython itself should consult our `developer information `_ on the IPython GitHub wiki. .. toctree:: :maxdepth: 1 messaging parallel_messages parallel_connections lexer pycompat config inputhook_app ipython-2.4.1/docs/source/development/inputhook_app.rst0000644000076500000000000000427312466235755023657 0ustar minrkwheel00000000000000========================= IPython GUI Support Notes ========================= IPython allows GUI event loops to be run in an interactive IPython session. This is done using Python's PyOS_InputHook hook which Python calls when the :func:`raw_input` function is called and waiting for user input. IPython has versions of this hook for wx, pyqt4 and pygtk. When a GUI program is used interactively within IPython, the event loop of the GUI should *not* be started. This is because, the PyOS_Inputhook itself is responsible for iterating the GUI event loop. IPython has facilities for installing the needed input hook for each GUI toolkit and for creating the needed main GUI application object. Usually, these main application objects should be created only once and for some GUI toolkits, special options have to be passed to the application object to enable it to function properly in IPython. We need to answer the following questions: * Who is responsible for creating the main GUI application object, IPython or third parties (matplotlib, enthought.traits, etc.)? * What is the proper way for third party code to detect if a GUI application object has already been created? If one has been created, how should the existing instance be retrieved? * In a GUI application object has been created, how should third party code detect if the GUI event loop is running. It is not sufficient to call the relevant function methods in the GUI toolkits (like ``IsMainLoopRunning``) because those don't know if the GUI event loop is running through the input hook. * We might need a way for third party code to determine if it is running in IPython or not. Currently, the only way of running GUI code in IPython is by using the input hook, but eventually, GUI based versions of IPython will allow the GUI event loop in the more traditional manner. We will need a way for third party code to distinguish between these two cases. Here is some sample code I have been using to debug this issue:: from matplotlib import pyplot as plt from enthought.traits import api as traits class Foo(traits.HasTraits): a = traits.Float() f = Foo() f.configure_traits() plt.plot(range(10)) ipython-2.4.1/docs/source/development/lexer.rst0000644000076500000000000000457112466235755022117 0ustar minrkwheel00000000000000.. _console_lexer: New IPython Console Lexer ------------------------- .. versionadded:: 2.0.0 The IPython console lexer has been rewritten and now supports tracebacks and customized input/output prompts. An entire suite of lexers is now available at :mod:`IPython.nbconvert.utils.lexers`. These include: IPythonLexer & IPython3Lexer Lexers for pure IPython (python + magic/shell commands) IPythonPartialTracebackLexer & IPythonTracebackLexer Supports 2.x and 3.x via the keyword `python3`. The partial traceback lexer reads everything but the Python code appearing in a traceback. The full lexer combines the partial lexer with an IPython lexer. IPythonConsoleLexer A lexer for IPython console sessions, with support for tracebacks. Supports 2.x and 3.x via the keyword `python3`. IPyLexer A friendly lexer which examines the first line of text and from it, decides whether to use an IPython lexer or an IPython console lexer. Supports 2.x and 3.x via the keyword `python3`. Previously, the :class:`IPythonConsoleLexer` class was available at :mod:`IPython.sphinxext.ipython_console_hightlight`. It was inserted into Pygments' list of available lexers under the name `ipython`. It should be mentioned that this name is inaccurate, since an IPython console session is not the same as IPython code (which itself is a superset of the Python language). Now, the Sphinx extension inserts two console lexers into Pygments' list of available lexers. Both are IPyLexer instances under the names: `ipython` and `ipython3`. Although the names can be confusing (as mentioned above), their continued use is, in part, to maintain backwards compatibility and to aid typical usage. If a project needs to make Pygments aware of more than just the IPyLexer class, then one should not make the IPyLexer class available under the name `ipython` and use `ipy` or some other non-conflicting value. Code blocks such as: .. code-block:: rst .. code-block:: ipython In [1]: 2**2 Out[1]: 4 will continue to work as before, but now, they will also properly highlight tracebacks. For pure IPython code, the same lexer will also work: .. code-block:: rst .. code-block:: ipython x = ''.join(map(str, range(10))) !echo $x Since the first line of the block did not begin with a standard IPython console prompt, the entire block is assumed to consist of IPython code instead. ipython-2.4.1/docs/source/development/messaging.rst0000644000076500000000000012457612466235755022765 0ustar minrkwheel00000000000000.. _messaging: ====================== Messaging in IPython ====================== Versioning ========== The IPython message specification is versioned independently of IPython. The current version of the specification is 4.1. Introduction ============ This document explains the basic communications design and messaging specification for how the various IPython objects interact over a network transport. The current implementation uses the ZeroMQ_ library for messaging within and between hosts. .. Note:: This document should be considered the authoritative description of the IPython messaging protocol, and all developers are strongly encouraged to keep it updated as the implementation evolves, so that we have a single common reference for all protocol details. The basic design is explained in the following diagram: .. image:: figs/frontend-kernel.png :width: 450px :alt: IPython kernel/frontend messaging architecture. :align: center :target: ../_images/frontend-kernel.png A single kernel can be simultaneously connected to one or more frontends. The kernel has three sockets that serve the following functions: 1. stdin: this ROUTER socket is connected to all frontends, and it allows the kernel to request input from the active frontend when :func:`raw_input` is called. The frontend that executed the code has a DEALER socket that acts as a 'virtual keyboard' for the kernel while this communication is happening (illustrated in the figure by the black outline around the central keyboard). In practice, frontends may display such kernel requests using a special input widget or otherwise indicating that the user is to type input for the kernel instead of normal commands in the frontend. 2. Shell: this single ROUTER socket allows multiple incoming connections from frontends, and this is the socket where requests for code execution, object information, prompts, etc. are made to the kernel by any frontend. The communication on this socket is a sequence of request/reply actions from each frontend and the kernel. 3. IOPub: this socket is the 'broadcast channel' where the kernel publishes all side effects (stdout, stderr, etc.) as well as the requests coming from any client over the shell socket and its own requests on the stdin socket. There are a number of actions in Python which generate side effects: :func:`print` writes to ``sys.stdout``, errors generate tracebacks, etc. Additionally, in a multi-client scenario, we want all frontends to be able to know what each other has sent to the kernel (this can be useful in collaborative scenarios, for example). This socket allows both side effects and the information about communications taking place with one client over the shell channel to be made available to all clients in a uniform manner. All messages are tagged with enough information (details below) for clients to know which messages come from their own interaction with the kernel and which ones are from other clients, so they can display each type appropriately. The actual format of the messages allowed on each of these channels is specified below. Messages are dicts of dicts with string keys and values that are reasonably representable in JSON. Our current implementation uses JSON explicitly as its message format, but this shouldn't be considered a permanent feature. As we've discovered that JSON has non-trivial performance issues due to excessive copying, we may in the future move to a pure pickle-based raw message format. However, it should be possible to easily convert from the raw objects to JSON, since we may have non-python clients (e.g. a web frontend). As long as it's easy to make a JSON version of the objects that is a faithful representation of all the data, we can communicate with such clients. .. Note:: Not all of these have yet been fully fleshed out, but the key ones are, see kernel and frontend files for actual implementation details. General Message Format ====================== A message is defined by the following four-dictionary structure:: { # The message header contains a pair of unique identifiers for the # originating session and the actual message id, in addition to the # username for the process that generated the message. This is useful in # collaborative settings where multiple users may be interacting with the # same kernel simultaneously, so that frontends can label the various # messages in a meaningful way. 'header' : { 'msg_id' : uuid, 'username' : str, 'session' : uuid, # All recognized message type strings are listed below. 'msg_type' : str, }, # In a chain of messages, the header from the parent is copied so that # clients can track where messages come from. 'parent_header' : dict, # Any metadata associated with the message. 'metadata' : dict, # The actual content of the message must be a dict, whose structure # depends on the message type. 'content' : dict, } The Wire Protocol ================= This message format exists at a high level, but does not describe the actual *implementation* at the wire level in zeromq. The canonical implementation of the message spec is our :class:`~IPython.kernel.zmq.session.Session` class. .. note:: This section should only be relevant to non-Python consumers of the protocol. Python consumers should simply import and use IPython's own implementation of the wire protocol in the :class:`IPython.kernel.zmq.session.Session` object. Every message is serialized to a sequence of at least six blobs of bytes: .. sourcecode:: python [ b'u-u-i-d', # zmq identity(ies) b'', # delimiter b'baddad42', # HMAC signature b'{header}', # serialized header dict b'{parent_header}', # serialized parent header dict b'{metadata}', # serialized metadata dict b'{content}, # serialized content dict b'blob', # extra raw data buffer(s) ... ] The front of the message is the ZeroMQ routing prefix, which can be zero or more socket identities. This is every piece of the message prior to the delimiter key ````. In the case of IOPub, there should be just one prefix component, which is the topic for IOPub subscribers, e.g. ``pyout``, ``display_data``. .. note:: In most cases, the IOPub topics are irrelevant and completely ignored, because frontends just subscribe to all topics. The convention used in the IPython kernel is to use the msg_type as the topic, and possibly extra information about the message, e.g. ``pyout`` or ``stream.stdout`` After the delimiter is the `HMAC`_ signature of the message, used for authentication. If authentication is disabled, this should be an empty string. By default, the hashing function used for computing these signatures is sha256. .. _HMAC: http://en.wikipedia.org/wiki/HMAC .. note:: To disable authentication and signature checking, set the `key` field of a connection file to an empty string. The signature is the HMAC hex digest of the concatenation of: - A shared key (typically the ``key`` field of a connection file) - The serialized header dict - The serialized parent header dict - The serialized metadata dict - The serialized content dict In Python, this is implemented via: .. sourcecode:: python # once: digester = HMAC(key, digestmod=hashlib.sha256) # for each message d = digester.copy() for serialized_dict in (header, parent, metadata, content): d.update(serialized_dict) signature = d.hexdigest() After the signature is the actual message, always in four frames of bytes. The four dictionaries that compose a message are serialized separately, in the order of header, parent header, metadata, and content. These can be serialized by any function that turns a dict into bytes. The default and most common serialization is JSON, but msgpack and pickle are common alternatives. After the serialized dicts are zero to many raw data buffers, which can be used by message types that support binary data (mainly apply and data_pub). Python functional API ===================== As messages are dicts, they map naturally to a ``func(**kw)`` call form. We should develop, at a few key points, functional forms of all the requests that take arguments in this manner and automatically construct the necessary dict for sending. In addition, the Python implementation of the message specification extends messages upon deserialization to the following form for convenience:: { 'header' : dict, # The msg's unique identifier and type are always stored in the header, # but the Python implementation copies them to the top level. 'msg_id' : uuid, 'msg_type' : str, 'parent_header' : dict, 'content' : dict, 'metadata' : dict, } All messages sent to or received by any IPython process should have this extended structure. Messages on the shell ROUTER/DEALER sockets =========================================== .. _execute: Execute ------- This message type is used by frontends to ask the kernel to execute code on behalf of the user, in a namespace reserved to the user's variables (and thus separate from the kernel's own internal code and variables). Message type: ``execute_request``:: content = { # Source code to be executed by the kernel, one or more lines. 'code' : str, # A boolean flag which, if True, signals the kernel to execute # this code as quietly as possible. This means that the kernel # will compile the code with 'exec' instead of 'single' (so # sys.displayhook will not fire), forces store_history to be False, # and will *not*: # - broadcast exceptions on the PUB socket # - do any logging # # The default is False. 'silent' : bool, # A boolean flag which, if True, signals the kernel to populate history # The default is True if silent is False. If silent is True, store_history # is forced to be False. 'store_history' : bool, # A list of variable names from the user's namespace to be retrieved. # What returns is a rich representation of each variable (dict keyed by name). # See the display_data content for the structure of the representation data. 'user_variables' : list, # Similarly, a dict mapping names to expressions to be evaluated in the # user's dict. 'user_expressions' : dict, # Some frontends (e.g. the Notebook) do not support stdin requests. If # raw_input is called from code executed from such a frontend, a # StdinNotImplementedError will be raised. 'allow_stdin' : True, } The ``code`` field contains a single string (possibly multiline). The kernel is responsible for splitting this into one or more independent execution blocks and deciding whether to compile these in 'single' or 'exec' mode (see below for detailed execution semantics). The ``user_`` fields deserve a detailed explanation. In the past, IPython had the notion of a prompt string that allowed arbitrary code to be evaluated, and this was put to good use by many in creating prompts that displayed system status, path information, and even more esoteric uses like remote instrument status acquired over the network. But now that IPython has a clean separation between the kernel and the clients, the kernel has no prompt knowledge; prompts are a frontend-side feature, and it should be even possible for different frontends to display different prompts while interacting with the same kernel. The kernel now provides the ability to retrieve data from the user's namespace after the execution of the main ``code``, thanks to two fields in the ``execute_request`` message: - ``user_variables``: If only variables from the user's namespace are needed, a list of variable names can be passed and a dict with these names as keys and their :func:`repr()` as values will be returned. - ``user_expressions``: For more complex expressions that require function evaluations, a dict can be provided with string keys and arbitrary python expressions as values. The return message will contain also a dict with the same keys and the :func:`repr()` of the evaluated expressions as value. With this information, frontends can display any status information they wish in the form that best suits each frontend (a status line, a popup, inline for a terminal, etc). .. Note:: In order to obtain the current execution counter for the purposes of displaying input prompts, frontends simply make an execution request with an empty code string and ``silent=True``. Execution semantics ~~~~~~~~~~~~~~~~~~~ When the silent flag is false, the execution of use code consists of the following phases (in silent mode, only the ``code`` field is executed): 1. Run the ``pre_runcode_hook``. 2. Execute the ``code`` field, see below for details. 3. If #2 succeeds, compute ``user_variables`` and ``user_expressions`` are computed. This ensures that any error in the latter don't harm the main code execution. 4. Call any method registered with :meth:`register_post_execute`. .. warning:: The API for running code before/after the main code block is likely to change soon. Both the ``pre_runcode_hook`` and the :meth:`register_post_execute` are susceptible to modification, as we find a consistent model for both. To understand how the ``code`` field is executed, one must know that Python code can be compiled in one of three modes (controlled by the ``mode`` argument to the :func:`compile` builtin): *single* Valid for a single interactive statement (though the source can contain multiple lines, such as a for loop). When compiled in this mode, the generated bytecode contains special instructions that trigger the calling of :func:`sys.displayhook` for any expression in the block that returns a value. This means that a single statement can actually produce multiple calls to :func:`sys.displayhook`, if for example it contains a loop where each iteration computes an unassigned expression would generate 10 calls:: for i in range(10): i**2 *exec* An arbitrary amount of source code, this is how modules are compiled. :func:`sys.displayhook` is *never* implicitly called. *eval* A single expression that returns a value. :func:`sys.displayhook` is *never* implicitly called. The ``code`` field is split into individual blocks each of which is valid for execution in 'single' mode, and then: - If there is only a single block: it is executed in 'single' mode. - If there is more than one block: * if the last one is a single line long, run all but the last in 'exec' mode and the very last one in 'single' mode. This makes it easy to type simple expressions at the end to see computed values. * if the last one is no more than two lines long, run all but the last in 'exec' mode and the very last one in 'single' mode. This makes it easy to type simple expressions at the end to see computed values. - otherwise (last one is also multiline), run all in 'exec' mode * otherwise (last one is also multiline), run all in 'exec' mode as a single unit. Any error in retrieving the ``user_variables`` or evaluating the ``user_expressions`` will result in a simple error message in the return fields of the form:: [ERROR] ExceptionType: Exception message The user can simply send the same variable name or expression for evaluation to see a regular traceback. Errors in any registered post_execute functions are also reported similarly, and the failing function is removed from the post_execution set so that it does not continue triggering failures. Upon completion of the execution request, the kernel *always* sends a reply, with a status code indicating what happened and additional data depending on the outcome. See :ref:`below ` for the possible return codes and associated data. .. _execution_counter: Execution counter (old prompt number) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The kernel has a single, monotonically increasing counter of all execution requests that are made with ``store_history=True``. This counter is used to populate the ``In[n]``, ``Out[n]`` and ``_n`` variables, so clients will likely want to display it in some form to the user, which will typically (but not necessarily) be done in the prompts. The value of this counter will be returned as the ``execution_count`` field of all ``execute_reply`` and ``pyin`` messages. .. _execution_results: Execution results ~~~~~~~~~~~~~~~~~ Message type: ``execute_reply``:: content = { # One of: 'ok' OR 'error' OR 'abort' 'status' : str, # The global kernel counter that increases by one with each request that # stores history. This will typically be used by clients to display # prompt numbers to the user. If the request did not store history, this will # be the current value of the counter in the kernel. 'execution_count' : int, } When status is 'ok', the following extra fields are present:: { # 'payload' will be a list of payload dicts. # Each execution payload is a dict with string keys that may have been # produced by the code being executed. It is retrieved by the kernel at # the end of the execution and sent back to the front end, which can take # action on it as needed. # The only requirement of each payload dict is that it have a 'source' key, # which is a string classifying the payload (e.g. 'pager'). 'payload' : list(dict), # Results for the user_variables and user_expressions. 'user_variables' : dict, 'user_expressions' : dict, } .. admonition:: Execution payloads The notion of an 'execution payload' is different from a return value of a given set of code, which normally is just displayed on the pyout stream through the PUB socket. The idea of a payload is to allow special types of code, typically magics, to populate a data container in the IPython kernel that will be shipped back to the caller via this channel. The kernel has an API for this in the PayloadManager:: ip.payload_manager.write_payload(payload_dict) which appends a dictionary to the list of payloads. The payload API is not yet stabilized, and should probably not be supported by non-Python kernels at this time. In such cases, the payload list should always be empty. When status is 'error', the following extra fields are present:: { 'ename' : str, # Exception name, as a string 'evalue' : str, # Exception value, as a string # The traceback will contain a list of frames, represented each as a # string. For now we'll stick to the existing design of ultraTB, which # controls exception level of detail statefully. But eventually we'll # want to grow into a model where more information is collected and # packed into the traceback object, with clients deciding how little or # how much of it to unpack. But for now, let's start with a simple list # of strings, since that requires only minimal changes to ultratb as # written. 'traceback' : list, } When status is 'abort', there are for now no additional data fields. This happens when the kernel was interrupted by a signal. Object information ------------------ One of IPython's most used capabilities is the introspection of Python objects in the user's namespace, typically invoked via the ``?`` and ``??`` characters (which in reality are shorthands for the ``%pinfo`` magic). This is used often enough that it warrants an explicit message type, especially because frontends may want to get object information in response to user keystrokes (like Tab or F1) besides from the user explicitly typing code like ``x??``. Message type: ``object_info_request``:: content = { # The (possibly dotted) name of the object to be searched in all # relevant namespaces 'oname' : str, # The level of detail desired. The default (0) is equivalent to typing # 'x?' at the prompt, 1 is equivalent to 'x??'. 'detail_level' : int, } The returned information will be a dictionary with keys very similar to the field names that IPython prints at the terminal. Message type: ``object_info_reply``:: content = { # The name the object was requested under 'oname' : str, # Boolean flag indicating whether the named object was found or not. If # it's false, all other fields will be empty. 'found' : bool, # Flags for magics and system aliases 'ismagic' : bool, 'isalias' : bool, # The name of the namespace where the object was found ('builtin', # 'magics', 'alias', 'interactive', etc.) 'namespace' : str, # The type name will be type.__name__ for normal Python objects, but it # can also be a string like 'Magic function' or 'System alias' 'type_name' : str, # The string form of the object, possibly truncated for length if # detail_level is 0 'string_form' : str, # For objects with a __class__ attribute this will be set 'base_class' : str, # For objects with a __len__ attribute this will be set 'length' : int, # If the object is a function, class or method whose file we can find, # we give its full path 'file' : str, # For pure Python callable objects, we can reconstruct the object # definition line which provides its call signature. For convenience this # is returned as a single 'definition' field, but below the raw parts that # compose it are also returned as the argspec field. 'definition' : str, # The individual parts that together form the definition string. Clients # with rich display capabilities may use this to provide a richer and more # precise representation of the definition line (e.g. by highlighting # arguments based on the user's cursor position). For non-callable # objects, this field is empty. 'argspec' : { # The names of all the arguments args : list, # The name of the varargs (*args), if any varargs : str, # The name of the varkw (**kw), if any varkw : str, # The values (as strings) of all default arguments. Note # that these must be matched *in reverse* with the 'args' # list above, since the first positional args have no default # value at all. defaults : list, }, # For instances, provide the constructor signature (the definition of # the __init__ method): 'init_definition' : str, # Docstrings: for any object (function, method, module, package) with a # docstring, we show it. But in addition, we may provide additional # docstrings. For example, for instances we will show the constructor # and class docstrings as well, if available. 'docstring' : str, # For instances, provide the constructor and class docstrings 'init_docstring' : str, 'class_docstring' : str, # If it's a callable object whose call method has a separate docstring and # definition line: 'call_def' : str, 'call_docstring' : str, # If detail_level was 1, we also try to find the source code that # defines the object, if possible. The string 'None' will indicate # that no source was found. 'source' : str, } Complete -------- Message type: ``complete_request``:: content = { # The text to be completed, such as 'a.is' # this may be an empty string if the frontend does not do any lexing, # in which case the kernel must figure out the completion # based on 'line' and 'cursor_pos'. 'text' : str, # The full line, such as 'print a.is'. This allows completers to # make decisions that may require information about more than just the # current word. 'line' : str, # The entire block of text where the line is. This may be useful in the # case of multiline completions where more context may be needed. Note: if # in practice this field proves unnecessary, remove it to lighten the # messages. 'block' : str or null/None, # The position of the cursor where the user hit 'TAB' on the line. 'cursor_pos' : int, } Message type: ``complete_reply``:: content = { # The list of all matches to the completion request, such as # ['a.isalnum', 'a.isalpha'] for the above example. 'matches' : list, # the substring of the matched text # this is typically the common prefix of the matches, # and the text that is already in the block that would be replaced by the full completion. # This would be 'a.is' in the above example. 'matched_text' : str, # status should be 'ok' unless an exception was raised during the request, # in which case it should be 'error', along with the usual error message content # in other messages. 'status' : 'ok' } History ------- For clients to explicitly request history from a kernel. The kernel has all the actual execution history stored in a single location, so clients can request it from the kernel when needed. Message type: ``history_request``:: content = { # If True, also return output history in the resulting dict. 'output' : bool, # If True, return the raw input history, else the transformed input. 'raw' : bool, # So far, this can be 'range', 'tail' or 'search'. 'hist_access_type' : str, # If hist_access_type is 'range', get a range of input cells. session can # be a positive session number, or a negative number to count back from # the current session. 'session' : int, # start and stop are line numbers within that session. 'start' : int, 'stop' : int, # If hist_access_type is 'tail' or 'search', get the last n cells. 'n' : int, # If hist_access_type is 'search', get cells matching the specified glob # pattern (with * and ? as wildcards). 'pattern' : str, # If hist_access_type is 'search' and unique is true, do not # include duplicated history. Default is false. 'unique' : bool, } .. versionadded:: 4.0 The key ``unique`` for ``history_request``. Message type: ``history_reply``:: content = { # A list of 3 tuples, either: # (session, line_number, input) or # (session, line_number, (input, output)), # depending on whether output was False or True, respectively. 'history' : list, } Connect ------- When a client connects to the request/reply socket of the kernel, it can issue a connect request to get basic information about the kernel, such as the ports the other ZeroMQ sockets are listening on. This allows clients to only have to know about a single port (the shell channel) to connect to a kernel. Message type: ``connect_request``:: content = { } Message type: ``connect_reply``:: content = { 'shell_port' : int, # The port the shell ROUTER socket is listening on. 'iopub_port' : int, # The port the PUB socket is listening on. 'stdin_port' : int, # The port the stdin ROUTER socket is listening on. 'hb_port' : int, # The port the heartbeat socket is listening on. } Kernel info ----------- If a client needs to know information about the kernel, it can make a request of the kernel's information. This message can be used to fetch core information of the kernel, including language (e.g., Python), language version number and IPython version number, and the IPython message spec version number. Message type: ``kernel_info_request``:: content = { } Message type: ``kernel_info_reply``:: content = { # Version of messaging protocol (mandatory). # The first integer indicates major version. It is incremented when # there is any backward incompatible change. # The second integer indicates minor version. It is incremented when # there is any backward compatible change. 'protocol_version': [int, int], # IPython version number (optional). # Non-python kernel backend may not have this version number. # The last component is an extra field, which may be 'dev' or # 'rc1' in development version. It is an empty string for # released version. 'ipython_version': [int, int, int, str], # Language version number (mandatory). # It is Python version number (e.g., [2, 7, 3]) for the kernel # included in IPython. 'language_version': [int, ...], # Programming language in which kernel is implemented (mandatory). # Kernel included in IPython returns 'python'. 'language': str, } Kernel shutdown --------------- The clients can request the kernel to shut itself down; this is used in multiple cases: - when the user chooses to close the client application via a menu or window control. - when the user types 'exit' or 'quit' (or their uppercase magic equivalents). - when the user chooses a GUI method (like the 'Ctrl-C' shortcut in the IPythonQt client) to force a kernel restart to get a clean kernel without losing client-side state like history or inlined figures. The client sends a shutdown request to the kernel, and once it receives the reply message (which is otherwise empty), it can assume that the kernel has completed shutdown safely. Upon their own shutdown, client applications will typically execute a last minute sanity check and forcefully terminate any kernel that is still alive, to avoid leaving stray processes in the user's machine. Message type: ``shutdown_request``:: content = { 'restart' : bool # whether the shutdown is final, or precedes a restart } Message type: ``shutdown_reply``:: content = { 'restart' : bool # whether the shutdown is final, or precedes a restart } .. Note:: When the clients detect a dead kernel thanks to inactivity on the heartbeat socket, they simply send a forceful process termination signal, since a dead process is unlikely to respond in any useful way to messages. Messages on the PUB/SUB socket ============================== Streams (stdout, stderr, etc) ------------------------------ Message type: ``stream``:: content = { # The name of the stream is one of 'stdout', 'stderr' 'name' : str, # The data is an arbitrary string to be written to that stream 'data' : str, } Display Data ------------ This type of message is used to bring back data that should be displayed (text, html, svg, etc.) in the frontends. This data is published to all frontends. Each message can have multiple representations of the data; it is up to the frontend to decide which to use and how. A single message should contain all possible representations of the same information. Each representation should be a JSON'able data structure, and should be a valid MIME type. Message type: ``display_data``:: content = { # Who create the data 'source' : str, # The data dict contains key/value pairs, where the keys are MIME # types and the values are the raw data of the representation in that # format. 'data' : dict, # Any metadata that describes the data 'metadata' : dict } The ``metadata`` contains any metadata that describes the output. Global keys are assumed to apply to the output as a whole. The ``metadata`` dict can also contain mime-type keys, which will be sub-dictionaries, which are interpreted as applying only to output of that type. Third parties should put any data they write into a single dict with a reasonably unique name to avoid conflicts. The only metadata keys currently defined in IPython are the width and height of images:: 'metadata' : { 'image/png' : { 'width': 640, 'height': 480 } } Raw Data Publication -------------------- ``display_data`` lets you publish *representations* of data, such as images and html. This ``data_pub`` message lets you publish *actual raw data*, sent via message buffers. data_pub messages are constructed via the :func:`IPython.lib.datapub.publish_data` function: .. sourcecode:: python from IPython.kernel.zmq.datapub import publish_data ns = dict(x=my_array) publish_data(ns) Message type: ``data_pub``:: content = { # the keys of the data dict, after it has been unserialized keys = ['a', 'b'] } # the namespace dict will be serialized in the message buffers, # which will have a length of at least one buffers = ['pdict', ...] The interpretation of a sequence of data_pub messages for a given parent request should be to update a single namespace with subsequent results. .. note:: No frontends directly handle data_pub messages at this time. It is currently only used by the client/engines in :mod:`IPython.parallel`, where engines may publish *data* to the Client, of which the Client can then publish *representations* via ``display_data`` to various frontends. Python inputs ------------- To let all frontends know what code is being executed at any given time, these messages contain a re-broadcast of the ``code`` portion of an :ref:`execute_request `, along with the :ref:`execution_count `. Message type: ``pyin``:: content = { 'code' : str, # Source code to be executed, one or more lines # The counter for this execution is also provided so that clients can # display it, since IPython automatically creates variables called _iN # (for input prompt In[N]). 'execution_count' : int } Python outputs -------------- When Python produces output from code that has been compiled in with the 'single' flag to :func:`compile`, any expression that produces a value (such as ``1+1``) is passed to ``sys.displayhook``, which is a callable that can do with this value whatever it wants. The default behavior of ``sys.displayhook`` in the Python interactive prompt is to print to ``sys.stdout`` the :func:`repr` of the value as long as it is not ``None`` (which isn't printed at all). In our case, the kernel instantiates as ``sys.displayhook`` an object which has similar behavior, but which instead of printing to stdout, broadcasts these values as ``pyout`` messages for clients to display appropriately. IPython's displayhook can handle multiple simultaneous formats depending on its configuration. The default pretty-printed repr text is always given with the ``data`` entry in this message. Any other formats are provided in the ``extra_formats`` list. Frontends are free to display any or all of these according to its capabilities. ``extra_formats`` list contains 3-tuples of an ID string, a type string, and the data. The ID is unique to the formatter implementation that created the data. Frontends will typically ignore the ID unless if it has requested a particular formatter. The type string tells the frontend how to interpret the data. It is often, but not always a MIME type. Frontends should ignore types that it does not understand. The data itself is any JSON object and depends on the format. It is often, but not always a string. Message type: ``pyout``:: content = { # The counter for this execution is also provided so that clients can # display it, since IPython automatically creates variables called _N # (for prompt N). 'execution_count' : int, # data and metadata are identical to a display_data message. # the object being displayed is that passed to the display hook, # i.e. the *result* of the execution. 'data' : dict, 'metadata' : dict, } Python errors ------------- When an error occurs during code execution Message type: ``pyerr``:: content = { # Similar content to the execute_reply messages for the 'error' case, # except the 'status' field is omitted. } Kernel status ------------- This message type is used by frontends to monitor the status of the kernel. Message type: ``status``:: content = { # When the kernel starts to execute code, it will enter the 'busy' # state and when it finishes, it will enter the 'idle' state. # The kernel will publish state 'starting' exactly once at process startup. execution_state : ('busy', 'idle', 'starting') } Clear output ------------ This message type is used to clear the output that is visible on the frontend. Message type: ``clear_output``:: content = { # Wait to clear the output until new output is available. Clears the # existing output immediately before the new output is displayed. # Useful for creating simple animations with minimal flickering. 'wait' : bool, } .. versionchanged:: 4.1 'stdout', 'stderr', and 'display' boolean keys for selective clearing are removed, and 'wait' is added. The selective clearing keys are ignored in v4 and the default behavior remains the same, so v4 clear_output messages will be safely handled by a v4.1 frontend. Messages on the stdin ROUTER/DEALER sockets =========================================== This is a socket where the request/reply pattern goes in the opposite direction: from the kernel to a *single* frontend, and its purpose is to allow ``raw_input`` and similar operations that read from ``sys.stdin`` on the kernel to be fulfilled by the client. The request should be made to the frontend that made the execution request that prompted ``raw_input`` to be called. For now we will keep these messages as simple as possible, since they only mean to convey the ``raw_input(prompt)`` call. Message type: ``input_request``:: content = { 'prompt' : str } Message type: ``input_reply``:: content = { 'value' : str } .. note:: The stdin socket of the client is required to have the same zmq IDENTITY as the client's shell socket. Because of this, the ``input_request`` must be sent with the same IDENTITY routing prefix as the ``execute_reply`` in order for the frontend to receive the message. .. note:: We do not explicitly try to forward the raw ``sys.stdin`` object, because in practice the kernel should behave like an interactive program. When a program is opened on the console, the keyboard effectively takes over the ``stdin`` file descriptor, and it can't be used for raw reading anymore. Since the IPython kernel effectively behaves like a console program (albeit one whose "keyboard" is actually living in a separate process and transported over the zmq connection), raw ``stdin`` isn't expected to be available. Heartbeat for kernels ===================== Initially we had considered using messages like those above over ZMQ for a kernel 'heartbeat' (a way to detect quickly and reliably whether a kernel is alive at all, even if it may be busy executing user code). But this has the problem that if the kernel is locked inside extension code, it wouldn't execute the python heartbeat code. But it turns out that we can implement a basic heartbeat with pure ZMQ, without using any Python messaging at all. The monitor sends out a single zmq message (right now, it is a str of the monitor's lifetime in seconds), and gets the same message right back, prefixed with the zmq identity of the DEALER socket in the heartbeat process. This can be a uuid, or even a full message, but there doesn't seem to be a need for packing up a message when the sender and receiver are the exact same Python object. The model is this:: monitor.send(str(self.lifetime)) # '1.2345678910' and the monitor receives some number of messages of the form:: ['uuid-abcd-dead-beef', '1.2345678910'] where the first part is the zmq.IDENTITY of the heart's DEALER on the engine, and the rest is the message sent by the monitor. No Python code ever has any access to the message between the monitor's send, and the monitor's recv. Custom Messages =============== .. versionadded:: 4.1 IPython 2.0 (msgspec v4.1) adds a messaging system for developers to add their own objects with Frontend and Kernel-side components, and allow them to communicate with each other. To do this, IPython adds a notion of a ``Comm``, which exists on both sides, and can communicate in either direction. These messages are fully symmetrical - both the Kernel and the Frontend can send each message, and no messages expect a reply. The Kernel listens for these messages on the Shell channel, and the Frontend listens for them on the IOPub channel. Opening a Comm -------------- Opening a Comm produces a ``comm_open`` message, to be sent to the other side:: { 'comm_id' : 'u-u-i-d', 'target_name' : 'my_comm', 'data' : {} } Every Comm has an ID and a target name. The code handling the message on the receiving side is responsible for maintaining a mapping of target_name keys to constructors. After a ``comm_open`` message has been sent, there should be a corresponding Comm instance on both sides. The ``data`` key is always a dict and can be any extra JSON information used in initialization of the comm. If the ``target_name`` key is not found on the receiving side, then it should immediately reply with a ``comm_close`` message to avoid an inconsistent state. Comm Messages ------------- Comm messages are one-way communications to update comm state, used for synchronizing widget state, or simply requesting actions of a comm's counterpart. Essentially, each comm pair defines their own message specification implemented inside the ``data`` dict. There are no expected replies (of course, one side can send another ``comm_msg`` in reply). Message type: ``comm_msg``:: { 'comm_id' : 'u-u-i-d', 'data' : {} } Tearing Down Comms ------------------ Since comms live on both sides, when a comm is destroyed the other side must be notified. This is done with a ``comm_close`` message. Message type: ``comm_close``:: { 'comm_id' : 'u-u-i-d', 'data' : {} } Output Side Effects ------------------- Since comm messages can execute arbitrary user code, handlers should set the parent header and publish status busy / idle, just like an execute request. ToDo ==== Missing things include: * Important: finish thinking through the payload concept and API. * Important: ensure that we have a good solution for magics like %edit. It's likely that with the payload concept we can build a full solution, but not 100% clear yet. .. include:: ../links.txt ipython-2.4.1/docs/source/development/parallel_connections.rst0000644000076500000000000001475712466235755025205 0ustar minrkwheel00000000000000.. _parallel_connections: ============================================== Connection Diagrams of The IPython ZMQ Cluster ============================================== This is a quick summary and illustration of the connections involved in the ZeroMQ based IPython cluster for parallel computing. All Connections =============== The IPython cluster consists of a Controller, and one or more each of clients and engines. The goal of the Controller is to manage and monitor the connections and communications between the clients and the engines. The Controller is no longer a single process entity, but rather a collection of processes - specifically one Hub, and 4 (or more) Schedulers. It is important for security/practicality reasons that all connections be inbound to the controller processes. The arrows in the figures indicate the direction of the connection. .. figure:: figs/allconnections.png :width: 432px :alt: IPython cluster connections :align: center All the connections involved in connecting one client to one engine. The Controller consists of 1-5 processes. Central to the cluster is the **Hub**, which monitors engine state, execution traffic, and handles registration and notification. The Hub includes a Heartbeat Monitor for keeping track of engines that are alive. Outside the Hub are 4 **Schedulers**. These devices are very small pure-C MonitoredQueue processes (or optionally threads) that relay messages very fast, but also send a copy of each message along a side socket to the Hub. The MUX queue and Control queue are MonitoredQueue ØMQ devices which relay explicitly addressed messages from clients to engines, and their replies back up. The Balanced queue performs load-balancing destination-agnostic scheduling. It may be a MonitoredQueue device, but may also be a Python Scheduler that behaves externally in an identical fashion to MQ devices, but with additional internal logic. stdout/err are also propagated from the Engines to the clients via a PUB/SUB MonitoredQueue. Registration ------------ .. figure:: figs/queryfade.png :width: 432px :alt: IPython Registration connections :align: center Engines and Clients only need to know where the Query ``ROUTER`` is located to start connecting. Once a controller is launched, the only information needed for connecting clients and/or engines is the IP/port of the Hub's ``ROUTER`` socket called the Registrar. This socket handles connections from both clients and engines, and replies with the remaining information necessary to establish the remaining connections. Clients use this same socket for querying the Hub for state information. Heartbeat --------- .. figure:: figs/hbfade.png :width: 432px :alt: IPython Heartbeat connections :align: center The heartbeat sockets. The heartbeat process has been described elsewhere. To summarize: the Heartbeat Monitor publishes a distinct message periodically via a ``PUB`` socket. Each engine has a ``zmq.FORWARDER`` device with a ``SUB`` socket for input, and ``DEALER`` socket for output. The ``SUB`` socket is connected to the ``PUB`` socket labeled *ping*, and the ``DEALER`` is connected to the ``ROUTER`` labeled *pong*. This results in the same message being relayed back to the Heartbeat Monitor with the addition of the ``DEALER`` prefix. The Heartbeat Monitor receives all the replies via an ``ROUTER`` socket, and identifies which hearts are still beating by the ``zmq.IDENTITY`` prefix of the ``DEALER`` sockets, which information the Hub uses to notify clients of any changes in the available engines. Schedulers ---------- .. figure:: figs/queuefade.png :width: 432px :alt: IPython Queue connections :align: center Control message scheduler on the left, execution (apply) schedulers on the right. The controller has at least three Schedulers. These devices are primarily for relaying messages between clients and engines, but the Hub needs to see those messages for its own purposes. Since no Python code may exist between the two sockets in a queue, all messages sent through these queues (both directions) are also sent via a ``PUB`` socket to a monitor, which allows the Hub to monitor queue traffic without interfering with it. For tasks, the engine need not be specified. Messages sent to the ``ROUTER`` socket from the client side are assigned to an engine via ZMQ's ``DEALER`` round-robin load balancing. Engine replies are directed to specific clients via the IDENTITY of the client, which is received as a prefix at the Engine. For Multiplexing, ``ROUTER`` is used for both in and output sockets in the device. Clients must specify the destination by the ``zmq.IDENTITY`` of the ``ROUTER`` socket connected to the downstream end of the device. At the Kernel level, both of these ``ROUTER`` sockets are treated in the same way as the ``REP`` socket in the serial version (except using ZMQStreams instead of explicit sockets). Execution can be done in a load-balanced (engine-agnostic) or multiplexed (engine-specified) manner. The sockets on the Client and Engine are the same for these two actions, but the scheduler used determines the actual behavior. This routing is done via the ``zmq.IDENTITY`` of the upstream sockets in each MonitoredQueue. IOPub ----- .. figure:: figs/iopubfade.png :width: 432px :alt: IOPub connections :align: center stdout/err are published via a ``PUB/SUB`` MonitoredQueue On the kernels, stdout/stderr are captured and published via a ``PUB`` socket. These ``PUB`` sockets all connect to a ``SUB`` socket input of a MonitoredQueue, which subscribes to all messages. They are then republished via another ``PUB`` socket, which can be subscribed by the clients. Client connections ------------------ .. figure:: figs/queryfade.png :width: 432px :alt: IPython client query connections :align: center Clients connect to an ``ROUTER`` socket to query the hub. The hub's registrar ``ROUTER`` socket also listens for queries from clients as to queue status, and control instructions. Clients connect to this socket via an ``DEALER`` during registration. .. figure:: figs/notiffade.png :width: 432px :alt: IPython Registration connections :align: center Engine registration events are published via a ``PUB`` socket. The Hub publishes all registration/unregistration events via a ``PUB`` socket. This allows clients to stay up to date with what engines are available by subscribing to the feed with a ``SUB`` socket. Other processes could selectively subscribe to just registration or unregistration events. ipython-2.4.1/docs/source/development/parallel_messages.rst0000644000076500000000000003300212466235755024452 0ustar minrkwheel00000000000000.. _parallel_messages: Messaging for Parallel Computing ================================ This is an extension of the :ref:`messaging ` doc. Diagrams of the connections can be found in the :ref:`parallel connections ` doc. ZMQ messaging is also used in the parallel computing IPython system. All messages to/from kernels remain the same as the single kernel model, and are forwarded through a ZMQ Queue device. The controller receives all messages and replies in these channels, and saves results for future use. The Controller -------------- The controller is the central collection of processes in the IPython parallel computing model. It has two major components: * The Hub * A collection of Schedulers The Hub ------- The Hub is the central process for monitoring the state of the engines, and all task requests and results. It has no role in execution and does no relay of messages, so large blocking requests or database actions in the Hub do not have the ability to impede job submission and results. Registration (``ROUTER``) ************************* The first function of the Hub is to facilitate and monitor connections of clients and engines. Both client and engine registration are handled by the same socket, so only one ip/port pair is needed to connect any number of connections and clients. Engines register with the ``zmq.IDENTITY`` of their two ``DEALER`` sockets, one for the queue, which receives execute requests, and one for the heartbeat, which is used to monitor the survival of the Engine process. Message type: ``registration_request``:: content = { 'uuid' : 'abcd-1234-...', # the zmq.IDENTITY of the engine's sockets } .. note:: these are always the same, at least for now. The Controller replies to an Engine's registration request with the engine's integer ID, and all the remaining connection information for connecting the heartbeat process, and kernel queue socket(s). The message status will be an error if the Engine requests IDs that already in use. Message type: ``registration_reply``:: content = { 'status' : 'ok', # or 'error' # if ok: 'id' : 0, # int, the engine id } Clients use the same socket as engines to start their connections. Connection requests from clients need no information: Message type: ``connection_request``:: content = {} The reply to a Client registration request contains the connection information for the multiplexer and load balanced queues, as well as the address for direct hub queries. If any of these addresses is `None`, that functionality is not available. Message type: ``connection_reply``:: content = { 'status' : 'ok', # or 'error' } Heartbeat ********* The hub uses a heartbeat system to monitor engines, and track when they become unresponsive. As described in :ref:`messaging `, and shown in :ref:`connections `. Notification (``PUB``) ********************** The hub publishes all engine registration/unregistration events on a ``PUB`` socket. This allows clients to have up-to-date engine ID sets without polling. Registration notifications contain both the integer engine ID and the queue ID, which is necessary for sending messages via the Multiplexer Queue and Control Queues. Message type: ``registration_notification``:: content = { 'id' : 0, # engine ID that has been registered 'uuid' : 'engine_id' # the IDENT for the engine's sockets } Message type : ``unregistration_notification``:: content = { 'id' : 0 # engine ID that has been unregistered 'uuid' : 'engine_id' # the IDENT for the engine's sockets } Client Queries (``ROUTER``) *************************** The hub monitors and logs all queue traffic, so that clients can retrieve past results or monitor pending tasks. This information may reside in-memory on the Hub, or on disk in a database (SQLite and MongoDB are currently supported). These requests are handled by the same socket as registration. :func:`queue_request` requests can specify multiple engines to query via the `targets` element. A verbose flag can be passed, to determine whether the result should be the list of `msg_ids` in the queue or simply the length of each list. Message type: ``queue_request``:: content = { 'verbose' : True, # whether return should be lists themselves or just lens 'targets' : [0,3,1] # list of ints } The content of a reply to a :func:`queue_request` request is a dict, keyed by the engine IDs. Note that they will be the string representation of the integer keys, since JSON cannot handle number keys. The three keys of each dict are:: 'completed' : messages submitted via any queue that ran on the engine 'queue' : jobs submitted via MUX queue, whose results have not been received 'tasks' : tasks that are known to have been submitted to the engine, but have not completed. Note that with the pure zmq scheduler, this will always be 0/[]. Message type: ``queue_reply``:: content = { 'status' : 'ok', # or 'error' # if verbose=False: '0' : {'completed' : 1, 'queue' : 7, 'tasks' : 0}, # if verbose=True: '1' : {'completed' : ['abcd-...','1234-...'], 'queue' : ['58008-'], 'tasks' : []}, } Clients can request individual results directly from the hub. This is primarily for gathering results of executions not submitted by the requesting client, as the client will have all its own results already. Requests are made by msg_id, and can contain one or more msg_id. An additional boolean key 'statusonly' can be used to not request the results, but simply poll the status of the jobs. Message type: ``result_request``:: content = { 'msg_ids' : ['uuid','...'], # list of strs 'targets' : [1,2,3], # list of int ids or uuids 'statusonly' : False, # bool } The :func:`result_request` reply contains the content objects of the actual execution reply messages. If `statusonly=True`, then there will be only the 'pending' and 'completed' lists. Message type: ``result_reply``:: content = { 'status' : 'ok', # else error # if ok: 'acbd-...' : msg, # the content dict is keyed by msg_ids, # values are the result messages # there will be none of these if `statusonly=True` 'pending' : ['msg_id','...'], # msg_ids still pending 'completed' : ['msg_id','...'], # list of completed msg_ids } buffers = ['bufs','...'] # the buffers that contained the results of the objects. # this will be empty if no messages are complete, or if # statusonly is True. For memory management purposes, Clients can also instruct the hub to forget the results of messages. This can be done by message ID or engine ID. Individual messages are dropped by msg_id, and all messages completed on an engine are dropped by engine ID. This may no longer be necessary with the mongodb-based message logging backend. If the msg_ids element is the string ``'all'`` instead of a list, then all completed results are forgotten. Message type: ``purge_request``:: content = { 'msg_ids' : ['id1', 'id2',...], # list of msg_ids or 'all' 'engine_ids' : [0,2,4] # list of engine IDs } The reply to a purge request is simply the status 'ok' if the request succeeded, or an explanation of why it failed, such as requesting the purge of a nonexistent or pending message. Message type: ``purge_reply``:: content = { 'status' : 'ok', # or 'error' } Schedulers ---------- There are three basic schedulers: * Task Scheduler * MUX Scheduler * Control Scheduler The MUX and Control schedulers are simple MonitoredQueue ØMQ devices, with ``ROUTER`` sockets on either side. This allows the queue to relay individual messages to particular targets via ``zmq.IDENTITY`` routing. The Task scheduler may be a MonitoredQueue ØMQ device, in which case the client-facing socket is ``ROUTER``, and the engine-facing socket is ``DEALER``. The result of this is that client-submitted messages are load-balanced via the ``DEALER`` socket, but the engine's replies to each message go to the requesting client. Raw ``DEALER`` scheduling is quite primitive, and doesn't allow message introspection, so there are also Python Schedulers that can be used. These Schedulers behave in much the same way as a MonitoredQueue does from the outside, but have rich internal logic to determine destinations, as well as handle dependency graphs Their sockets are always ``ROUTER`` on both sides. The Python task schedulers have an additional message type, which informs the Hub of the destination of a task as soon as that destination is known. Message type: ``task_destination``:: content = { 'msg_id' : 'abcd-1234-...', # the msg's uuid 'engine_id' : '1234-abcd-...', # the destination engine's zmq.IDENTITY } :func:`apply` ************* In terms of message classes, the MUX scheduler and Task scheduler relay the exact same message types. Their only difference lies in how the destination is selected. The `Namespace `_ model suggests that execution be able to use the model:: ns.apply(f, *args, **kwargs) which takes `f`, a function in the user's namespace, and executes ``f(*args, **kwargs)`` on a remote engine, returning the result (or, for non-blocking, information facilitating later retrieval of the result). This model, unlike the execute message which just uses a code string, must be able to send arbitrary (pickleable) Python objects. And ideally, copy as little data as we can. The `buffers` property of a Message was introduced for this purpose. Utility method :func:`build_apply_message` in :mod:`IPython.kernel.zmq.serialize` wraps a function signature and builds a sendable buffer format for minimal data copying (exactly zero copies of numpy array data or buffers or large strings). Message type: ``apply_request``:: metadata = { 'after' : ['msg_id',...], # list of msg_ids or output of Dependency.as_dict() 'follow' : ['msg_id',...], # list of msg_ids or output of Dependency.as_dict() } content = {} buffers = ['...'] # at least 3 in length # as built by build_apply_message(f,args,kwargs) after/follow represent task dependencies. 'after' corresponds to a time dependency. The request will not arrive at an engine until the 'after' dependency tasks have completed. 'follow' corresponds to a location dependency. The task will be submitted to the same engine as these msg_ids (see :class:`Dependency` docs for details). Message type: ``apply_reply``:: content = { 'status' : 'ok' # 'ok' or 'error' # other error info here, as in other messages } buffers = ['...'] # either 1 or 2 in length # a serialization of the return value of f(*args,**kwargs) # only populated if status is 'ok' All engine execution and data movement is performed via apply messages. Control Messages ---------------- Messages that interact with the engines, but are not meant to execute code, are submitted via the Control queue. These messages have high priority, and are thus received and handled before any execution requests. Clients may want to clear the namespace on the engine. There are no arguments nor information involved in this request, so the content is empty. Message type: ``clear_request``:: content = {} Message type: ``clear_reply``:: content = { 'status' : 'ok' # 'ok' or 'error' # other error info here, as in other messages } Clients may want to abort tasks that have not yet run. This can by done by message id, or all enqueued messages can be aborted if None is specified. Message type: ``abort_request``:: content = { 'msg_ids' : ['1234-...', '...'] # list of msg_ids or None } Message type: ``abort_reply``:: content = { 'status' : 'ok' # 'ok' or 'error' # other error info here, as in other messages } The last action a client may want to do is shutdown the kernel. If a kernel receives a shutdown request, then it aborts all queued messages, replies to the request, and exits. Message type: ``shutdown_request``:: content = {} Message type: ``shutdown_reply``:: content = { 'status' : 'ok' # 'ok' or 'error' # other error info here, as in other messages } Implementation -------------- There are a few differences in implementation between the `StreamSession` object used in the newparallel branch and the `Session` object, the main one being that messages are sent in parts, rather than as a single serialized object. `StreamSession` objects also take pack/unpack functions, which are to be used when serializing/deserializing objects. These can be any functions that translate to/from formats that ZMQ sockets can send (buffers,bytes, etc.). Split Sends *********** Previously, messages were bundled as a single json object and one call to :func:`socket.send_json`. Since the hub inspects all messages, and doesn't need to see the content of the messages, which can be large, messages are now serialized and sent in pieces. All messages are sent in at least 4 parts: the header, the parent header, the metadata and the content. This allows the controller to unpack and inspect the (always small) header, without spending time unpacking the content unless the message is bound for the controller. Buffers are added on to the end of the message, and can be any objects that present the buffer interface. ipython-2.4.1/docs/source/development/pycompat.rst0000644000076500000000000001642612466235755022636 0ustar minrkwheel00000000000000Writing code for Python 2 and 3 =============================== .. module:: IPython.utils.py3compat :synopsis: Python 2 & 3 compatibility helpers .. data:: PY3 Boolean indicating whether we're currently in Python 3. Iterators --------- Many built in functions and methods in Python 2 come in pairs, one returning a list, and one returning an iterator (e.g. :func:`range` and :func:`python:xrange`). In Python 3, there is usually only the iterator form, but it has the name which gives a list in Python 2 (e.g. :func:`range`). The way to write compatible code depends on what you need: * A list, e.g. for serialisation, or to test if something is in it. * Iteration, but it will never be used for very many items, so efficiency isn't especially important. * Iteration over many items, where efficiency is important. ================ ================= ======================= list iteration (small) iteration(large) ================ ================= ======================= list(range(n)) range(n) py3compat.xrange(n) list(map(f, it)) map(f, it) -- list(zip(a, b)) zip(a, b) -- list(d.items()) d.items() py3compat.iteritems(d) list(d.values()) d.values() py3compat.itervalues(d) ================ ================= ======================= Iterating over a dictionary yields its keys, so there is rarely a need to use :meth:`dict.keys` or :meth:`dict.iterkeys`. Avoid using :func:`map` to cause function side effects. This is more clearly written with a simple for loop. .. data:: xrange A reference to ``range`` on Python 3, and :func:`python:xrange` on Python 2. .. function:: iteritems(d) itervalues(d) Iterate over (key, value) pairs of a dictionary, or just over values. ``iterkeys`` is not defined: iterating over the dictionary yields its keys. Changed standard library locations ---------------------------------- Several parts of the standard library have been renamed and moved. This is a short list of things that we're using. A couple of them have names in :mod:`IPython.utils.py3compat`, so you don't need both imports in each module that uses them. ================== ============ =========== Python 2 Python 3 py3compat ================== ============ =========== :func:`raw_input` input input :mod:`__builtin__` builtins builtin_mod :mod:`StringIO` io :mod:`Queue` queue :mod:`cPickle` pickle :mod:`thread` _thread :mod:`copy_reg` copyreg :mod:`urlparse` urllib.parse :mod:`repr` reprlib :mod:`Tkinter` tkinter :mod:`Cookie` http.cookie :mod:`_winreg` winreg ================== ============ =========== Be careful with StringIO: :class:`io.StringIO` is available in Python 2.7, but it behaves differently from :class:`StringIO.StringIO`, and much of our code assumes the use of the latter on Python 2. So a try/except on the import may cause problems. .. function:: input Behaves like :func:`python:raw_input` on Python 2. .. data:: builtin_mod builtin_mod_name A reference to the module containing builtins, and its name as a string. Unicode ------- Always be explicit about what is text (unicode) and what is bytes. *Encoding* goes from unicode to bytes, and *decoding* goes from bytes to unicode. To open files for reading or writing text, use :func:`io.open`, which is the Python 3 builtin ``open`` function, available on Python 2 as well. We almost always need to specify the encoding parameter, because the default is platform dependent. We have several helper functions for converting between string types. They all use the encoding from :func:`IPython.utils.encoding.getdefaultencoding` by default, and the ``errors='replace'`` option to do best-effort conversions for the user's system. .. function:: unicode_to_str(u, encoding=None) str_to_unicode(s, encoding=None) Convert between unicode and the native str type. No-ops on Python 3. .. function:: str_to_bytes(s, encoding=None) bytes_to_str(u, encoding=None) Convert between bytes and the native str type. No-ops on Python 2. .. function:: cast_unicode(s, encoding=None) cast_bytes(s, encoding=None) Convert strings to unicode/bytes when they may be of either type. .. function:: cast_unicode_py2(s, encoding=None) cast_bytes_py2(s, encoding=None) Convert strings to unicode/bytes when they may be of either type on Python 2, but return them unaltered on Python 3 (where string types are more predictable). .. data:: unicode_type A reference to ``str`` on Python 3, and to ``unicode`` on Python 2. .. data:: string_types A tuple for isinstance checks: ``(str,)`` on Python 3, ``(str, unicode)`` on Python 2. Relative imports ---------------- :: # This makes Python 2 behave like Python 3: from __future__ import absolute_import import io # Imports the standard library io module from . import io # Import the io module from the package # containing the current module from .io import foo # foo from the io module next to this module from IPython.utils import io # This still works Print function -------------- :: # Support the print function on Python 2: from __future__ import print_function print(a, b) print(foo, file=sys.stderr) print(bar, baz, sep='\t', end='') Metaclasses ----------- The syntax for declaring a class with a metaclass is different in Python 2 and 3. A helper function works for most cases: .. function:: with_metaclass Create a base class with a metaclass. Copied from the six library. Used like this:: class FormatterABC(with_metaclass(abc.ABCMeta, object)): ... Combining inheritance between Qt and the traitlets system, however, does not work with this. Instead, we do this:: class QtKernelClientMixin(MetaQObjectHasTraits('NewBase', (HasTraits, SuperQObject), {})): ... This gives the new class a metaclass of :class:`~IPython.qt.util.MetaQObjectHasTraits`, and the parent classes :class:`~IPython.utils.traitlets.HasTraits` and :class:`~IPython.qt.util.SuperQObject`. Doctests -------- .. function:: doctest_refactor_print(func_or_str) Refactors print statements in doctests in Python 3 only. Accepts a string or a function, so it can be used as a decorator. .. function:: u_format(func_or_str) Handle doctests written with ``{u}'abcþ'``, replacing the ``{u}`` with ``u`` for Python 2, and removing it for Python 3. Accepts a string or a function, so it can be used as a decorator. Execfile -------- .. function:: execfile(fname, glob, loc=None) Equivalent to the Python 2 :func:`python:execfile` builtin. We redefine it in Python 2 to better handle non-ascii filenames. Miscellaneous ------------- .. autofunction:: safe_unicode .. function:: isidentifier(s, dotted=False) Checks whether the string s is a valid identifier in this version of Python. In Python 3, non-ascii characters are allowed. If ``dotted`` is True, it allows dots (i.e. attribute access) in the string. .. function:: getcwd() Return the current working directory as unicode, like :func:`os.getcwdu` on Python 2. .. function:: MethodType Constructor for :class:`types.MethodType` that takes two arguments, like the real constructor on Python 3. ipython-2.4.1/docs/source/index.rst0000644000076500000000000000120712466235755017556 0ustar minrkwheel00000000000000===================== IPython Documentation ===================== .. htmlonly:: :Release: |release| :Date: |today| .. only:: not rtd Welcome to the official IPython documentation. .. only:: rtd This is a partial copy of IPython documentation, please visit `IPython official documentation `_. Contents ======== .. toctree:: :maxdepth: 1 overview whatsnew/index install/index interactive/index notebook/index parallel/index config/index development/index api/index about/index .. htmlonly:: * :ref:`genindex` * :ref:`modindex` * :ref:`search` ipython-2.4.1/docs/source/install/0000755000076500000000000000000012466236022017347 5ustar minrkwheel00000000000000ipython-2.4.1/docs/source/install/index.rst0000644000076500000000000000014612466235755021225 0ustar minrkwheel00000000000000.. _install_index: ============ Installation ============ .. toctree:: :maxdepth: 2 install ipython-2.4.1/docs/source/install/install.rst0000644000076500000000000003375112466235755021574 0ustar minrkwheel00000000000000IPython requires Python 2.7 or ≥ 3.3. .. note:: If you need to use Python 2.6 or 3.2, you can find IPython 1.0 `here `__. Quickstart ========== If you have :mod:`setuptools`, the quickest way to get up and running with IPython is: .. code-block:: bash $ pip install ipython[all] This will download and install IPython and its main optional dependencies: - jinja2, needed for the notebook - sphinx, needed for nbconvert - pyzmq, needed for IPython's parallel computing features, qt console and notebook - pygments, used by nbconvert and the Qt console for syntax highlighting - tornado, needed by the web-based notebook - nose, used by the test suite - readline (on OS X) or pyreadline (on Windows), needed for the terminal To run IPython's test suite, use the :command:`iptest` command: .. code-block:: bash $ iptest Overview ======== This document describes in detail the steps required to install IPython, and its various optional dependencies. For a few quick ways to get started with package managers or full Python distributions, see `the install page `_ of the IPython website. IPython is organized into a number of subpackages, each of which has its own dependencies. All of the subpackages come with IPython, so you don't need to download and install them separately. However, to use a given subpackage, you will need to install all of its dependencies. Please let us know if you have problems installing IPython or any of its dependencies. IPython and most dependencies can be installed via :command:`pip`. In many scenarios, this is the simplest method of installing Python packages. More information about :mod:`pip` can be found on `its PyPI page `__. .. note:: On Windows, IPython *requires* :mod:`setuptools`. We hope to change this in the future, but for now on Windows, you *must* install :mod:`setuptools` to use IPython. More general information about installing Python packages can be found in `Python's documentation `_. Installing IPython itself ========================= Given a properly built Python, the basic interactive IPython shell will work with no external dependencies. However, some Python distributions (particularly on Windows and OS X), don't come with a working :mod:`readline` module. The IPython shell will work without :mod:`readline`, but will lack many features that users depend on, such as tab completion and command line editing. If you install IPython with :mod:`setuptools`, (e.g. with `pip`), then the appropriate :mod:`readline` for your platform will be installed. See below for details of how to make sure you have a working :mod:`readline`. Installation using pip ---------------------- If you have :mod:`setuptools` or :mod:`pip`, the easiest way of getting IPython is to simply use :command:`pip`: .. code-block:: bash $ pip install ipython That's it. Installation from source ------------------------ If you don't want to use :command:`pip`, or don't have it installed, just grab the latest stable build of IPython from `here `_. Then do the following: .. code-block:: bash $ tar -xzf ipython.tar.gz $ cd ipython $ python setup.py install If you are installing to a location (like ``/usr/local``) that requires higher permissions, you may need to run the last command with :command:`sudo`. Windows ------- As mentioned above, on Windows, IPython requires :mod:`setuptools`, and it also requires the PyReadline library to properly support coloring and keyboard management (features that the default windows console doesn't have). So on Windows, the installation procedure is: 1. Install `setuptools `_. 2. Install `pyreadline `_. You can use the command ``pip install pyreadline`` from a terminal, or the binary installer appropriate for your platform from the PyPI page. 3. Install IPython itself, which you can download from `PyPI `_ or from `our site `_. Note that on Windows 7, you *must* right-click and 'Run as administrator' for the Start menu shortcuts to be created. IPython by default runs in a terminal window, but the normal terminal application supplied by Microsoft Windows is very primitive. You may want to download the excellent and free Console_ application instead, which is a far superior tool. You can even configure Console to give you by default an IPython tab, which is very convenient to create new IPython sessions directly from the working terminal. .. _Console: http://sourceforge.net/projects/console Installing the development version ---------------------------------- It is also possible to install the development version of IPython from our `Git `_ source code repository. To do this you will need to have Git installed on your system. Then just do: .. code-block:: bash $ git clone --recursive https://github.com/ipython/ipython.git $ cd ipython $ python setup.py install Some users want to be able to follow the development branch as it changes. If you have :mod:`setuptools` installed, this is easy. Simply replace the last step by: .. code-block:: bash $ python setupegg.py develop This creates links in the right places and installs the command line script to the appropriate places. Then, if you want to update your IPython at any time, just do: .. code-block:: bash $ git pull IPython now uses git submodules to ship its javascript dependencies. If you run IPython from git master, you may need to update submodules once in a while with: .. code-block:: bash $ git submodule update or .. code-block:: bash $ python setup.py submodule Another option is to copy `git hooks `_ to your ``./git/hooks/`` directory to ensure that your submodules are up to date on each pull. Basic optional dependencies =========================== There are a number of basic optional dependencies that most users will want to get. These are: * readline (for command line editing, tab completion, etc.) * nose (to run the IPython test suite) If you are comfortable installing these things yourself, have at it, otherwise read on for more details. IPython uses several other modules, such as pexpect_ and path.py, if they are installed on your system, but it can also use bundled versions from :mod:`IPython.external`, so there's no need to install them separately. readline -------- As indicated above, on Windows, to get full functionality in the console version of IPython, PyReadline is needed. PyReadline is a separate, Windows only implementation of readline that uses native Windows calls through :mod:`ctypes`. The easiest way of installing PyReadline is you use the binary installer available `here `__. On OSX, if you are using the built-in Python shipped by Apple, you will be missing a proper readline implementation as Apple ships instead a library called ``libedit`` that provides only some of readline's functionality. While you may find libedit sufficient, we have occasional reports of bugs with it and several developers who use OS X as their main environment consider libedit unacceptable for productive, regular use with IPython. Therefore, IPython on OS X depends on the :mod:`gnureadline` module. We will *not* consider completion/history problems to be bugs for IPython if you are using libedit. To get a working :mod:`readline` module on OS X, just do (with :mod:`pip` installed): .. code-block:: bash $ pip install gnureadline .. note:: Other Python distributions on OS X (such as Anaconda, fink, MacPorts) already have proper readline so you likely don't have to do this step. When IPython is installed with :mod:`setuptools`, (e.g. using the ``pip`` command), the correct readline should be installed if you specify the `terminal` optional dependencies: .. code-block:: bash $ pip install ipython[terminal] nose ---- To run the IPython test suite you will need the :mod:`nose` package. Nose provides a great way of sniffing out and running all of the IPython tests. The simplest way of getting nose is to use :command:`pip`: .. code-block:: bash $ pip install nose Another way of getting this is to do: .. code-block:: bash $ pip install ipython[test] For more installation options, see the `nose website `_. Once you have nose installed, you can run IPython's test suite using the iptest command: .. code-block:: bash $ iptest Dependencies for IPython.parallel (parallel computing) ====================================================== IPython.parallel provides a nice architecture for parallel computing, with a focus on fluid interactive workflows. These features require just one package: PyZMQ. See the next section for PyZMQ details. On a Unix style platform (including OS X), if you want to use :mod:`setuptools`, you can just do: .. code-block:: bash $ pip install ipython[zmq] # will include pyzmq Security in IPython.parallel is provided by SSH tunnels. By default, Linux and OSX clients will use the shell ssh command, but on Windows, we also support tunneling with paramiko_. Dependencies for IPython.kernel.zmq =================================== pyzmq ----- IPython 0.11 introduced some new functionality, including a two-process execution model using ZeroMQ_ for communication. The Python bindings to ZeroMQ are found in the PyZMQ_ project, which is pip install-able. If you are on Python 2.7, 3.3, or 3.4 on OSX or Windows, pyzmq has eggs and wheels that include ZeroMQ itself. IPython.kernel.zmq depends on pyzmq >= 2.2. Dependencies for the IPython QT console ======================================= pyzmq ----- Like the :mod:`IPython.parallel` package, the QT Console requires ZeroMQ and PyZMQ. Qt -- Also with 0.11, a new GUI was added using the work in :mod:`IPython.kernel.zmq`, which can be launched with ``ipython qtconsole``. The GUI is built on Qt, and works with either PyQt, which can be installed from the `PyQt website `_, or `PySide `_, from Nokia. pygments -------- The syntax-highlighting in ``ipython qtconsole`` is done with the pygments_ project, which is pip install-able. .. _installnotebook: Dependencies for the IPython HTML notebook ========================================== The IPython notebook is a notebook-style web interface to IPython and can be started with the command ``ipython notebook``. pyzmq ----- Like the :mod:`IPython.parallel` and :mod:`IPython.frontend.qt.console` packages, the HTML notebook requires ZeroMQ and PyZMQ. Tornado ------- The IPython notebook uses the Tornado_ project for its HTTP server. Tornado 2.1 is required, in order to support current versions of browsers, due to an update to the websocket protocol. Jinja ----- The IPython notebook uses the Jinja_ templating tool to render HTML pages. MathJax ------- The IPython notebook uses the MathJax_ Javascript library for rendering LaTeX in web browsers. Because MathJax is large, we don't include it with IPython. Normally IPython will load MathJax from a CDN, but if you have a slow network connection, or want to use LaTeX without an internet connection at all, you can install MathJax locally. A quick and easy method is to install it from a python session:: from IPython.external.mathjax import install_mathjax install_mathjax() If you need tighter configuration control, you can download your own copy of MathJax from http://www.mathjax.org/download/ - use the MathJax-2.0 link. When you have the file stored locally, install it with:: python -m IPython.external.mathjax /path/to/source/mathjax-MathJax-v2.0-20-g07669ac.zip For unusual needs, IPython can tell you what directory it wants to find MathJax in:: python -m IPython.external.mathjax -d /some/other/mathjax By default Mathjax will be installed in your ipython profile directory, but you can make system wide install, please refer to the documentation and helper function of :mod:`IPython.external.mathjax` Browser Compatibility --------------------- The IPython notebook is officially supported on the following browsers: * Chrome ≥ 13 * Safari ≥ 5 * Firefox ≥ 6 The is mainly due to the notebook's usage of WebSockets and the flexible box model. The following browsers are unsupported: * Safari < 5 * Firefox < 6 * Chrome < 13 * Opera (any): CSS issues, but execution might work * Internet Explorer < 10 The following specific combinations are known **NOT** to work: * Safari, IPython 0.12, tornado ≥ 2.2.0 * Safari with HTTPS connection to notebook and an untrusted certificate (websockets will fail) * The `diigo Chrome extension `_ seems to interfere with scrolling There are some early reports that the Notebook works on Internet Explorer 10, but we expect there will be some CSS issues related to the flexible box model. Dependencies for nbconvert (converting notebooks to various formats) ==================================================================== pandoc ------ The most important dependency of nbconvert is Pandoc_ 1.10 or later, a document format translation program. This is not a Python package, so it cannot be expressed as a regular IPython dependency with setuptools. 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    In [34]: from scipy.special import jn

    In [35]: x = linspace(0,4*pi)

    In [36]: for i in range(6):

        ...: plot(x,jn(i,x))

    In [37]: 1/0

    ---------------------------------------------------------------------------

    ZeroDivisionError Traceback (most recent call last)

    /Users/minrk/<ipython-input-37-05c9758a9c21> in <module>()

    ----> 1 1/0

    ZeroDivisionError: integer division or modulo by zero

    In [38]:

    ipython-2.4.1/docs/source/interactive/figs/jn.xhtml0000644000076500000000000007105012466235755022652 0ustar minrkwheel00000000000000

    Python 2.6.1 (r261:67515, Feb 11 2010, 00:51:29)

    Type "copyright", "credits" or "license" for more information.

    IPython 0.11.alpha1.git -- An enhanced Interactive Python.

    ? -> Introduction and overview of IPython's features.

    %quickref -> Quick reference.

    help -> Python's own help system.

    object? -> Details about 'object', use 'object??' for extra details.

    %guiref -> A brief reference about the graphical user interface.

    In [1]: from scipy.special import jn

    In [2]: x = linspace(0,4*pi)

    In [3]: for n in range(6):

       ...: plot(x,jn(n,x))

       ...:

    In [4]:

    ipython-2.4.1/docs/source/interactive/index.rst0000644000076500000000000000035112466235755022072 0ustar minrkwheel00000000000000================================== Using IPython for interactive work ================================== .. toctree:: :maxdepth: 2 tutorial tips reference shell qtconsole .. seealso:: :doc:`/notebook/index` ipython-2.4.1/docs/source/interactive/qtconsole.rst0000644000076500000000000006107312466235755023002 0ustar minrkwheel00000000000000.. _qtconsole: ========================= A Qt Console for IPython ========================= To start the Qt Console:: ipython qtconsole We now have a version of IPython, using the new two-process :ref:`ZeroMQ Kernel `, running in a PyQt_ GUI. This is a very lightweight widget that largely feels like a terminal, but provides a number of enhancements only possible in a GUI, such as inline figures, proper multiline editing with syntax highlighting, graphical calltips, and much more. .. figure:: ../_images/qtconsole.png :width: 400px :alt: IPython Qt console with embedded plots :align: center :target: ../_images/qtconsole.png The Qt console for IPython, using inline matplotlib plots. To get acquainted with the Qt console, type `%guiref` to see a quick introduction of its main features. The Qt frontend has hand-coded emacs-style bindings for text navigation. This is not yet configurable. .. tip:: Since the Qt console tries hard to behave like a terminal, by default it immediately executes single lines of input that are complete. If you want to force multiline input, hit :kbd:`Ctrl-Enter` at the end of the first line instead of :kbd:`Enter`, and it will open a new line for input. At any point in a multiline block, you can force its execution (without having to go to the bottom) with :kbd:`Shift-Enter`. ``%load`` ========= The new ``%load`` magic (previously ``%loadpy``) takes any script, and pastes its contents as your next input, so you can edit it before executing. The script may be on your machine, but you can also specify an history range, or a url, and it will download the script from the web. This is particularly useful for playing with examples from documentation, such as matplotlib. .. sourcecode:: ipython In [6]: %load http://matplotlib.org/plot_directive/mpl_examples/mplot3d/contour3d_demo.py In [7]: from mpl_toolkits.mplot3d import axes3d ...: import matplotlib.pyplot as plt ...: ...: fig = plt.figure() ...: ax = fig.add_subplot(111, projection='3d') ...: X, Y, Z = axes3d.get_test_data(0.05) ...: cset = ax.contour(X, Y, Z) ...: ax.clabel(cset, fontsize=9, inline=1) ...: ...: plt.show() Inline Matplotlib ================= One of the most exciting features of the QtConsole is embedded matplotlib figures. You can use any standard matplotlib GUI backend to draw the figures, and since there is now a two-process model, there is no longer a conflict between user input and the drawing eventloop. .. image:: figs/besselj.png :width: 519px .. _display: :func:`display` *************** IPython provides a function :func:`display` for displaying rich representations of objects if they are available. The IPython display system provides a mechanism for specifying PNG or SVG (and more) representations of objects for GUI frontends. When you enable matplotlib integration via the ``%matplotlib`` magic, IPython registers convenient PNG and SVG renderers for matplotlib figures, so you can embed them in your document by calling :func:`display` on one or more of them. This is especially useful for saving_ your work. .. sourcecode:: ipython In [4]: from IPython.display import display In [5]: plt.plot(range(5)) # plots in the matplotlib window In [6]: display(plt.gcf()) # embeds the current figure in the qtconsole In [7]: display(*getfigs()) # embeds all active figures in the qtconsole If you have a reference to a matplotlib figure object, you can always display that specific figure: .. sourcecode:: ipython In [1]: f = plt.figure() In [2]: plt.plot(np.rand(100)) Out[2]: [] In [3]: display(f) # Plot is shown here In [4]: plt.title('A title') Out[4]: In [5]: display(f) # Updated plot with title is shown here. .. _inline: ``--matplotlib inline`` *********************** If you want to have all of your figures embedded in your session, instead of calling :func:`display`, you can specify ``--matplotlib inline`` when you start the console, and each time you make a plot, it will show up in your document, as if you had called :func:`display(fig)`. The inline backend can use either SVG or PNG figures (PNG being the default). It also supports the special key ``'retina'``, which is 2x PNG for high-DPI displays. To switch between them, set the ``InlineBackend.figure_format`` configurable in a config file, or via the ``%config`` magic: .. sourcecode:: ipython In [10]: %config InlineBackend.figure_format = 'svg' .. note:: Changing the inline figure format also affects calls to :func:`display` above, even if you are not using the inline backend for all figures. By default, IPython closes all figures at the completion of each execution. This means you don't have to manually close figures, which is less convenient when figures aren't attached to windows with an obvious close button. It also means that the first matplotlib call in each cell will always create a new figure: .. sourcecode:: ipython In [11]: plt.plot(range(100)) In [12]: plt.plot([1,3,2]) However, it does prevent the list of active figures surviving from one input cell to the next, so if you want to continue working with a figure, you must hold on to a reference to it: .. sourcecode:: ipython In [11]: fig = gcf() ....: fig.plot(rand(100)) In [12]: fig.title('Random Title') This behavior is controlled by the :attr:`InlineBackend.close_figures` configurable, and if you set it to False, via %config or config file, then IPython will *not* close figures, and tools like :func:`gcf`, :func:`gca`, :func:`getfigs` will behave the same as they do with other backends. You will, however, have to manually close figures: .. sourcecode:: ipython # close all active figures: In [13]: [ fig.close() for fig in getfigs() ] .. _saving: Saving and Printing =================== IPythonQt has the ability to save your current session, as either HTML or XHTML. If you have been using :func:`display` or inline_ matplotlib, your figures will be PNG in HTML, or inlined as SVG in XHTML. PNG images have the option to be either in an external folder, as in many browsers' "Webpage, Complete" option, or inlined as well, for a larger, but more portable file. .. note:: Export to SVG+XHTML requires that you are using SVG figures, which is *not* the default. To switch the inline figure format to use SVG during an active session, do: .. sourcecode:: ipython In [10]: %config InlineBackend.figure_format = 'svg' Or, you can add the same line (c.Inline... instead of %config Inline...) to your config files. This will only affect figures plotted after making this call The widget also exposes the ability to print directly, via the default print shortcut or context menu. .. Note:: Saving is only available to richtext Qt widgets, which are used by default, but if you pass the ``--plain`` flag, saving will not be available to you. See these examples of :download:`png/html` and :download:`svg/xhtml ` output. Note that syntax highlighting does not survive export. This is a known issue, and is being investigated. Colors and Highlighting ======================= Terminal IPython has always had some coloring, but never syntax highlighting. There are a few simple color choices, specified by the ``colors`` flag or ``%colors`` magic: * LightBG for light backgrounds * Linux for dark backgrounds * NoColor for a simple colorless terminal The Qt widget has full support for the ``colors`` flag used in the terminal shell. The Qt widget, however, has full syntax highlighting as you type, handled by the `pygments`_ library. The ``style`` argument exposes access to any style by name that can be found by pygments, and there are several already installed. The ``colors`` argument, if unspecified, will be guessed based on the chosen style. Similarly, there are default styles associated with each ``colors`` option. Screenshot of ``ipython qtconsole --colors=linux``, which uses the 'monokai' theme by default: .. image:: figs/colors_dark.png :width: 627px .. Note:: Calling ``ipython qtconsole -h`` will show all the style names that pygments can find on your system. You can also pass the filename of a custom CSS stylesheet, if you want to do your own coloring, via the ``stylesheet`` argument. The default LightBG stylesheet: .. sourcecode:: css QPlainTextEdit, QTextEdit { background-color: white; color: black ; selection-background-color: #ccc} .error { color: red; } .in-prompt { color: navy; } .in-prompt-number { font-weight: bold; } .out-prompt { color: darkred; } .out-prompt-number { font-weight: bold; } /* .inverted is used to highlight selected completion */ .inverted { background-color: black ; color: white; } Fonts ===== The QtConsole has configurable via the ConsoleWidget. To change these, set the ``font_family`` or ``font_size`` traits of the ConsoleWidget. For instance, to use 9pt Anonymous Pro:: $> ipython qtconsole --ConsoleWidget.font_family="Anonymous Pro" --ConsoleWidget.font_size=9 Process Management ================== With the two-process ZMQ model, the frontend does not block input during execution. This means that actions can be taken by the frontend while the Kernel is executing, or even after it crashes. The most basic such command is via 'Ctrl-.', which restarts the kernel. This can be done in the middle of a blocking execution. The frontend can also know, via a heartbeat mechanism, that the kernel has died. This means that the frontend can safely restart the kernel. .. _multiple_consoles: Multiple Consoles ***************** Since the Kernel listens on the network, multiple frontends can connect to it. These do not have to all be qt frontends - any IPython frontend can connect and run code. When you start ipython qtconsole, there will be an output line, like:: [IPKernelApp] To connect another client to this kernel, use: [IPKernelApp] --existing kernel-12345.json Other frontends can connect to your kernel, and share in the execution. This is great for collaboration. The ``--existing`` flag means connect to a kernel that already exists. Starting other consoles with that flag will not try to start their own kernel, but rather connect to yours. :file:`kernel-12345.json` is a small JSON file with the ip, port, and authentication information necessary to connect to your kernel. By default, this file will be in your default profile's security directory. If it is somewhere else, the output line will print the full path of the connection file, rather than just its filename. If you need to find the connection info to send, and don't know where your connection file lives, there are a couple of ways to get it. If you are already running an IPython console connected to the kernel, you can use the ``%connect_info`` magic to display the information necessary to connect another frontend to the kernel. .. sourcecode:: ipython In [2]: %connect_info { "stdin_port":50255, "ip":"127.0.0.1", "hb_port":50256, "key":"70be6f0f-1564-4218-8cda-31be40a4d6aa", "shell_port":50253, "iopub_port":50254 } Paste the above JSON into a file, and connect with: $> ipython --existing or, if you are local, you can connect with just: $> ipython --existing kernel-12345.json or even just: $> ipython --existing if this is the most recent IPython session you have started. Otherwise, you can find a connection file by name (and optionally profile) with :func:`IPython.lib.kernel.find_connection_file`: .. sourcecode:: bash $> python -c "from IPython.lib.kernel import find_connection_file;\ print find_connection_file('kernel-12345.json')" /home/you/.ipython/profile_default/security/kernel-12345.json And if you are using a particular IPython profile: .. sourcecode:: bash $> python -c "from IPython.lib.kernel import find_connection_file;\ print find_connection_file('kernel-12345.json', profile='foo')" /home/you/.ipython/profile_foo/security/kernel-12345.json You can even launch a standalone kernel, and connect and disconnect Qt Consoles from various machines. This lets you keep the same running IPython session on your work machine (with matplotlib plots and everything), logging in from home, cafés, etc.:: $> ipython kernel [IPKernelApp] To connect another client to this kernel, use: [IPKernelApp] --existing kernel-12345.json This is actually exactly the same as the subprocess launched by the qtconsole, so all the information about connecting to a standalone kernel is identical to that of connecting to the kernel attached to a running console. .. _kernel_security: Security -------- .. warning:: Since the ZMQ code currently has no encryption, listening on an external-facing IP is dangerous. You are giving any computer that can see you on the network the ability to connect to your kernel, and view your traffic. Read the rest of this section before listening on external ports or running an IPython kernel on a shared machine. By default (for security reasons), the kernel only listens on localhost, so you can only connect multiple frontends to the kernel from your local machine. You can specify to listen on an external interface by specifying the ``ip`` argument:: $> ipython qtconsole --ip=192.168.1.123 If you specify the ip as 0.0.0.0 or '*', that means all interfaces, so any computer that can see yours on the network can connect to the kernel. Messages are not encrypted, so users with access to the ports your kernel is using will be able to see any output of the kernel. They will **NOT** be able to issue shell commands as you due to message signatures, which are enabled by default as of IPython 0.12. .. warning:: If you disable message signatures, then any user with access to the ports your kernel is listening on can issue arbitrary code as you. **DO NOT** disable message signatures unless you have a lot of trust in your environment. The one security feature IPython does provide is protection from unauthorized execution. IPython's messaging system will sign messages with HMAC digests using a shared-key. The key is never sent over the network, it is only used to generate a unique hash for each message, based on its content. When IPython receives a message, it will check that the digest matches, and discard the message. You can use any file that only you have access to to generate this key, but the default is just to generate a new UUID. You can generate a random private key with:: # generate 1024b of random data, and store in a file only you can read: # (assumes IPYTHONDIR is defined, otherwise use your IPython directory) $> python -c "import os; print os.urandom(128).encode('base64')" > $IPYTHONDIR/sessionkey $> chmod 600 $IPYTHONDIR/sessionkey The *contents* of this file will be stored in the JSON connection file, so that file contains everything you need to connect to and use a kernel. To use this generated key, simply specify the ``Session.keyfile`` configurable in :file:`ipython_config.py` or at the command-line, as in:: # instruct IPython to sign messages with that key, instead of a new UUID $> ipython qtconsole --Session.keyfile=$IPYTHONDIR/sessionkey .. _ssh_tunnels: SSH Tunnels ----------- Sometimes you want to connect to machines across the internet, or just across a LAN that either doesn't permit open ports or you don't trust the other machines on the network. To do this, you can use SSH tunnels. SSH tunnels are a way to securely forward ports on your local machine to ports on another machine, to which you have SSH access. In simple cases, IPython's tools can forward ports over ssh by simply adding the ``--ssh=remote`` argument to the usual ``--existing...`` set of flags for connecting to a running kernel, after copying the JSON connection file (or its contents) to the second computer. .. warning:: Using SSH tunnels does *not* increase localhost security. In fact, when tunneling from one machine to another *both* machines have open ports on localhost available for connections to the kernel. There are two primary models for using SSH tunnels with IPython. The first is to have the Kernel listen only on localhost, and connect to it from another machine on the same LAN. First, let's start a kernel on machine **worker**, listening only on loopback:: user@worker $> ipython kernel [IPKernelApp] To connect another client to this kernel, use: [IPKernelApp] --existing kernel-12345.json In this case, the IP that you would connect to would still be 127.0.0.1, but you want to specify the additional ``--ssh`` argument with the hostname of the kernel (in this example, it's 'worker'):: user@client $> ipython qtconsole --ssh=worker --existing /path/to/kernel-12345.json Which will write a new connection file with the forwarded ports, so you can reuse them:: [IPythonQtConsoleApp] To connect another client via this tunnel, use: [IPythonQtConsoleApp] --existing kernel-12345-ssh.json Note again that this opens ports on the *client* machine that point to your kernel. .. note:: the ssh argument is simply passed to openssh, so it can be fully specified ``user@host:port`` but it will also respect your aliases, etc. in :file:`.ssh/config` if you have any. The second pattern is for connecting to a machine behind a firewall across the internet (or otherwise wide network). This time, we have a machine **login** that you have ssh access to, which can see **kernel**, but **client** is on another network. The important difference now is that **client** can see **login**, but *not* **worker**. So we need to forward ports from client to worker *via* login. This means that the kernel must be started listening on external interfaces, so that its ports are visible to `login`:: user@worker $> ipython kernel --ip=0.0.0.0 [IPKernelApp] To connect another client to this kernel, use: [IPKernelApp] --existing kernel-12345.json Which we can connect to from the client with:: user@client $> ipython qtconsole --ssh=login --ip=192.168.1.123 --existing /path/to/kernel-12345.json .. note:: The IP here is the address of worker as seen from *login*, and need only be specified if the kernel used the ambiguous 0.0.0.0 (all interfaces) address. If it had used 192.168.1.123 to start with, it would not be needed. Manual SSH tunnels ------------------ It's possible that IPython's ssh helper functions won't work for you, for various reasons. You can still connect to remote machines, as long as you set up the tunnels yourself. The basic format of forwarding a local port to a remote one is:: [client] $> ssh :: -f -N This will forward local connections to **localport** on client to **remoteip:remoteport** *via* **server**. Note that remoteip is interpreted relative to *server*, not the client. So if you have direct ssh access to the machine to which you want to forward connections, then the server *is* the remote machine, and remoteip should be server's IP as seen from the server itself, i.e. 127.0.0.1. Thus, to forward local port 12345 to remote port 54321 on a machine you can see, do:: [client] $> ssh machine 12345:127.0.0.1:54321 -f -N But if your target is actually on a LAN at 192.168.1.123, behind another machine called **login**, then you would do:: [client] $> ssh login 12345:192.168.1.16:54321 -f -N The ``-f -N`` on the end are flags that tell ssh to run in the background, and don't actually run any commands beyond creating the tunnel. .. seealso:: A short discussion of ssh tunnels: http://www.revsys.com/writings/quicktips/ssh-tunnel.html Stopping Kernels and Consoles ***************************** Since there can be many consoles per kernel, the shutdown mechanism and dialog are probably more complicated than you are used to. Since you don't always want to shutdown a kernel when you close a window, you are given the option to just close the console window or also close the Kernel and *all other windows*. Note that this only refers to all other *local* windows, as remote Consoles are not allowed to shutdown the kernel, and shutdowns do not close Remote consoles (to allow for saving, etc.). Rules: * Restarting the kernel automatically clears all *local* Consoles, and prompts remote Consoles about the reset. * Shutdown closes all *local* Consoles, and notifies remotes that the Kernel has been shutdown. * Remote Consoles may not restart or shutdown the kernel. Qt and the QtConsole ==================== An important part of working with the QtConsole when you are writing your own Qt code is to remember that user code (in the kernel) is *not* in the same process as the frontend. This means that there is not necessarily any Qt code running in the kernel, and under most normal circumstances there isn't. If, however, you specify ``--matplotlib qt`` at the command-line, then there *will* be a :class:`QCoreApplication` instance running in the kernel process along with user-code. To get a reference to this application, do: .. sourcecode:: python from PyQt4 import QtCore app = QtCore.QCoreApplication.instance() # app will be None if there is no such instance A common problem listed in the PyQt4 Gotchas_ is the fact that Python's garbage collection will destroy Qt objects (Windows, etc.) once there is no longer a Python reference to them, so you have to hold on to them. For instance, in: .. sourcecode:: python def make_window(): win = QtGui.QMainWindow() def make_and_return_window(): win = QtGui.QMainWindow() return win :func:`make_window` will never draw a window, because garbage collection will destroy it before it is drawn, whereas :func:`make_and_return_window` lets the caller decide when the window object should be destroyed. If, as a developer, you know that you always want your objects to last as long as the process, you can attach them to the QApplication instance itself: .. sourcecode:: python # do this just once: app = QtCore.QCoreApplication.instance() app.references = set() # then when you create Windows, add them to the set def make_window(): win = QtGui.QMainWindow() app.references.add(win) Now the QApplication itself holds a reference to ``win``, so it will never be garbage collected until the application itself is destroyed. .. _Gotchas: http://www.riverbankcomputing.co.uk/static/Docs/PyQt4/html/gotchas.html#garbage-collection Embedding the QtConsole in a Qt application ******************************************* In order to make the QtConsole available to an external Qt GUI application (just as :func:`IPython.embed` enables one to embed a terminal session of IPython in a command-line application), there are a few options: * First start IPython, and then start the external Qt application from IPython, as described above. Effectively, this embeds your application in IPython rather than the other way round. * Use :class:`IPython.qt.console.rich_ipython_widget.RichIPythonWidget` in your Qt application. This will embed the console widget in your GUI and start the kernel in a separate process, so code typed into the console cannot access objects in your application. * Start a standard IPython kernel in the process of the external Qt application. See :file:`examples/lib/ipkernel_qtapp.py` for an example. Due to IPython's two-process model, the QtConsole itself will live in another process with its own QApplication, and thus cannot be embedded in the main GUI. * Start a special IPython kernel, the :class:`IPython.kernel.inprocess.ipkernel.InProcessKernel`, that allows a QtConsole in the same process. See :file:`examples/inprocess/embedded_qtconsole.py` for an example. While the QtConsole can now be embedded in the main GUI, one cannot connect to the kernel from other consoles as there are no real ZMQ sockets anymore. Regressions =========== There are some features, where the qt console lags behind the Terminal frontend: * !cmd input: Due to our use of pexpect, we cannot pass input to subprocesses launched using the '!' escape, so you should never call a command that requires interactive input. For such cases, use the terminal IPython. This will not be fixed, as abandoning pexpect would significantly degrade the console experience. .. _PyQt: http://www.riverbankcomputing.co.uk/software/pyqt/download .. _pygments: http://pygments.org/ ipython-2.4.1/docs/source/interactive/reference.rst0000644000076500000000000012367612466235755022741 0ustar minrkwheel00000000000000================= IPython reference ================= .. _command_line_options: Command-line usage ================== You start IPython with the command:: $ ipython [options] files If invoked with no options, it executes all the files listed in sequence and drops you into the interpreter while still acknowledging any options you may have set in your ipython_config.py. This behavior is different from standard Python, which when called as python -i will only execute one file and ignore your configuration setup. Please note that some of the configuration options are not available at the command line, simply because they are not practical here. Look into your configuration files for details on those. There are separate configuration files for each profile, and the files look like :file:`ipython_config.py` or :file:`ipython_config_{frontendname}.py`. Profile directories look like :file:`profile_{profilename}` and are typically installed in the :envvar:`IPYTHONDIR` directory, which defaults to :file:`$HOME/.ipython`. For Windows users, :envvar:`HOME` resolves to :file:`C:\\Users\\{YourUserName}` in most instances. Command-line Options -------------------- To see the options IPython accepts, use ``ipython --help`` (and you probably should run the output through a pager such as ``ipython --help | less`` for more convenient reading). This shows all the options that have a single-word alias to control them, but IPython lets you configure all of its objects from the command-line by passing the full class name and a corresponding value; type ``ipython --help-all`` to see this full list. For example:: ipython --matplotlib qt is equivalent to:: ipython --TerminalIPythonApp.matplotlib='qt' Note that in the second form, you *must* use the equal sign, as the expression is evaluated as an actual Python assignment. While in the above example the short form is more convenient, only the most common options have a short form, while any configurable variable in IPython can be set at the command-line by using the long form. This long form is the same syntax used in the configuration files, if you want to set these options permanently. Interactive use =============== IPython is meant to work as a drop-in replacement for the standard interactive interpreter. As such, any code which is valid python should execute normally under IPython (cases where this is not true should be reported as bugs). It does, however, offer many features which are not available at a standard python prompt. What follows is a list of these. Caution for Windows users ------------------------- Windows, unfortunately, uses the '\\' character as a path separator. This is a terrible choice, because '\\' also represents the escape character in most modern programming languages, including Python. For this reason, using '/' character is recommended if you have problems with ``\``. However, in Windows commands '/' flags options, so you can not use it for the root directory. This means that paths beginning at the root must be typed in a contrived manner like: ``%copy \opt/foo/bar.txt \tmp`` .. _magic: Magic command system -------------------- IPython will treat any line whose first character is a % as a special call to a 'magic' function. These allow you to control the behavior of IPython itself, plus a lot of system-type features. They are all prefixed with a % character, but parameters are given without parentheses or quotes. Lines that begin with ``%%`` signal a *cell magic*: they take as arguments not only the rest of the current line, but all lines below them as well, in the current execution block. Cell magics can in fact make arbitrary modifications to the input they receive, which need not even be valid Python code at all. They receive the whole block as a single string. As a line magic example, the ``%cd`` magic works just like the OS command of the same name:: In [8]: %cd /home/fperez The following uses the builtin ``timeit`` in cell mode:: In [10]: %%timeit x = range(10000) ...: min(x) ...: max(x) ...: 1000 loops, best of 3: 438 us per loop In this case, ``x = range(10000)`` is called as the line argument, and the block with ``min(x)`` and ``max(x)`` is called as the cell body. The ``timeit`` magic receives both. If you have 'automagic' enabled (as it by default), you don't need to type in the single ``%`` explicitly for line magics; IPython will scan its internal list of magic functions and call one if it exists. With automagic on you can then just type ``cd mydir`` to go to directory 'mydir':: In [9]: cd mydir /home/fperez/mydir Note that cell magics *always* require an explicit ``%%`` prefix, automagic calling only works for line magics. The automagic system has the lowest possible precedence in name searches, so you can freely use variables with the same names as magic commands. If a magic command is 'shadowed' by a variable, you will need the explicit ``%`` prefix to use it: .. sourcecode:: ipython In [1]: cd ipython # %cd is called by automagic /home/fperez/ipython In [2]: cd=1 # now cd is just a variable In [3]: cd .. # and doesn't work as a function anymore File "", line 1 cd .. ^ SyntaxError: invalid syntax In [4]: %cd .. # but %cd always works /home/fperez In [5]: del cd # if you remove the cd variable, automagic works again In [6]: cd ipython /home/fperez/ipython .. _defining_magics: Defining your own magics ++++++++++++++++++++++++ There are two main ways to define your own magic functions: from standalone functions and by inheriting from a base class provided by IPython: :class:`IPython.core.magic.Magics`. Below we show code you can place in a file that you load from your configuration, such as any file in the ``startup`` subdirectory of your default IPython profile. First, let us see the simplest case. The following shows how to create a line magic, a cell one and one that works in both modes, using just plain functions: .. sourcecode:: python from IPython.core.magic import (register_line_magic, register_cell_magic, register_line_cell_magic) @register_line_magic def lmagic(line): "my line magic" return line @register_cell_magic def cmagic(line, cell): "my cell magic" return line, cell @register_line_cell_magic def lcmagic(line, cell=None): "Magic that works both as %lcmagic and as %%lcmagic" if cell is None: print("Called as line magic") return line else: print("Called as cell magic") return line, cell # We delete these to avoid name conflicts for automagic to work del lmagic, lcmagic You can also create magics of all three kinds by inheriting from the :class:`IPython.core.magic.Magics` class. This lets you create magics that can potentially hold state in between calls, and that have full access to the main IPython object: .. sourcecode:: python # This code can be put in any Python module, it does not require IPython # itself to be running already. It only creates the magics subclass but # doesn't instantiate it yet. from __future__ import print_function from IPython.core.magic import (Magics, magics_class, line_magic, cell_magic, line_cell_magic) # The class MUST call this class decorator at creation time @magics_class class MyMagics(Magics): @line_magic def lmagic(self, line): "my line magic" print("Full access to the main IPython object:", self.shell) print("Variables in the user namespace:", list(self.shell.user_ns.keys())) return line @cell_magic def cmagic(self, line, cell): "my cell magic" return line, cell @line_cell_magic def lcmagic(self, line, cell=None): "Magic that works both as %lcmagic and as %%lcmagic" if cell is None: print("Called as line magic") return line else: print("Called as cell magic") return line, cell # In order to actually use these magics, you must register them with a # running IPython. This code must be placed in a file that is loaded once # IPython is up and running: ip = get_ipython() # You can register the class itself without instantiating it. IPython will # call the default constructor on it. ip.register_magics(MyMagics) If you want to create a class with a different constructor that holds additional state, then you should always call the parent constructor and instantiate the class yourself before registration: .. sourcecode:: python @magics_class class StatefulMagics(Magics): "Magics that hold additional state" def __init__(self, shell, data): # You must call the parent constructor super(StatefulMagics, self).__init__(shell) self.data = data # etc... # This class must then be registered with a manually created instance, # since its constructor has different arguments from the default: ip = get_ipython() magics = StatefulMagics(ip, some_data) ip.register_magics(magics) In earlier versions, IPython had an API for the creation of line magics (cell magics did not exist at the time) that required you to create functions with a method-looking signature and to manually pass both the function and the name. While this API is no longer recommended, it remains indefinitely supported for backwards compatibility purposes. With the old API, you'd create a magic as follows: .. sourcecode:: python def func(self, line): print("Line magic called with line:", line) print("IPython object:", self.shell) ip = get_ipython() # Declare this function as the magic %mycommand ip.define_magic('mycommand', func) Type ``%magic`` for more information, including a list of all available magic functions at any time and their docstrings. You can also type ``%magic_function_name?`` (see :ref:`below ` for information on the '?' system) to get information about any particular magic function you are interested in. The API documentation for the :mod:`IPython.core.magic` module contains the full docstrings of all currently available magic commands. Access to the standard Python help ---------------------------------- Simply type ``help()`` to access Python's standard help system. You can also type ``help(object)`` for information about a given object, or ``help('keyword')`` for information on a keyword. You may need to configure your PYTHONDOCS environment variable for this feature to work correctly. .. _dynamic_object_info: Dynamic object information -------------------------- Typing ``?word`` or ``word?`` prints detailed information about an object. If certain strings in the object are too long (e.g. function signatures) they get snipped in the center for brevity. This system gives access variable types and values, docstrings, function prototypes and other useful information. If the information will not fit in the terminal, it is displayed in a pager (``less`` if available, otherwise a basic internal pager). Typing ``??word`` or ``word??`` gives access to the full information, including the source code where possible. Long strings are not snipped. The following magic functions are particularly useful for gathering information about your working environment. You can get more details by typing ``%magic`` or querying them individually (``%function_name?``); this is just a summary: * **%pdoc **: Print (or run through a pager if too long) the docstring for an object. If the given object is a class, it will print both the class and the constructor docstrings. * **%pdef **: Print the call signature for any callable object. If the object is a class, print the constructor information. * **%psource **: Print (or run through a pager if too long) the source code for an object. * **%pfile **: Show the entire source file where an object was defined via a pager, opening it at the line where the object definition begins. * **%who/%whos**: These functions give information about identifiers you have defined interactively (not things you loaded or defined in your configuration files). %who just prints a list of identifiers and %whos prints a table with some basic details about each identifier. Note that the dynamic object information functions (?/??, ``%pdoc``, ``%pfile``, ``%pdef``, ``%psource``) work on object attributes, as well as directly on variables. For example, after doing ``import os``, you can use ``os.path.abspath??``. .. _readline: Readline-based features ----------------------- These features require the GNU readline library, so they won't work if your Python installation lacks readline support. We will first describe the default behavior IPython uses, and then how to change it to suit your preferences. Command line completion +++++++++++++++++++++++ At any time, hitting TAB will complete any available python commands or variable names, and show you a list of the possible completions if there's no unambiguous one. It will also complete filenames in the current directory if no python names match what you've typed so far. Search command history ++++++++++++++++++++++ IPython provides two ways for searching through previous input and thus reduce the need for repetitive typing: 1. Start typing, and then use the up and down arrow keys (or :kbd:`Ctrl-p` and :kbd:`Ctrl-n`) to search through only the history items that match what you've typed so far. 2. Hit :kbd:`Ctrl-r`: to open a search prompt. Begin typing and the system searches your history for lines that contain what you've typed so far, completing as much as it can. IPython will save your input history when it leaves and reload it next time you restart it. By default, the history file is named :file:`.ipython/profile_{name}/history.sqlite`. Autoindent ++++++++++ IPython can recognize lines ending in ':' and indent the next line, while also un-indenting automatically after 'raise' or 'return'. This feature uses the readline library, so it will honor your :file:`~/.inputrc` configuration (or whatever file your :envvar:`INPUTRC` environment variable points to). Adding the following lines to your :file:`.inputrc` file can make indenting/unindenting more convenient (M-i indents, M-u unindents):: # if you don't already have a ~/.inputrc file, you need this include: $include /etc/inputrc $if Python "\M-i": " " "\M-u": "\d\d\d\d" $endif Note that there are 4 spaces between the quote marks after "M-i" above. .. warning:: Setting the above indents will cause problems with unicode text entry in the terminal. .. warning:: Autoindent is ON by default, but it can cause problems with the pasting of multi-line indented code (the pasted code gets re-indented on each line). A magic function %autoindent allows you to toggle it on/off at runtime. You can also disable it permanently on in your :file:`ipython_config.py` file (set TerminalInteractiveShell.autoindent=False). If you want to paste multiple lines in the terminal, it is recommended that you use ``%paste``. Customizing readline behavior +++++++++++++++++++++++++++++ All these features are based on the GNU readline library, which has an extremely customizable interface. Normally, readline is configured via a :file:`.inputrc` file. IPython respects this, and you can also customise readline by setting the following :doc:`configuration ` options: * ``InteractiveShell.readline_parse_and_bind``: this holds a list of strings to be executed via a readline.parse_and_bind() command. The syntax for valid commands of this kind can be found by reading the documentation for the GNU readline library, as these commands are of the kind which readline accepts in its configuration file. * ``InteractiveShell.readline_remove_delims``: a string of characters to be removed from the default word-delimiters list used by readline, so that completions may be performed on strings which contain them. Do not change the default value unless you know what you're doing. You will find the default values in your configuration file. Session logging and restoring ----------------------------- You can log all input from a session either by starting IPython with the command line switch ``--logfile=foo.py`` (see :ref:`here `) or by activating the logging at any moment with the magic function %logstart. Log files can later be reloaded by running them as scripts and IPython will attempt to 'replay' the log by executing all the lines in it, thus restoring the state of a previous session. This feature is not quite perfect, but can still be useful in many cases. The log files can also be used as a way to have a permanent record of any code you wrote while experimenting. Log files are regular text files which you can later open in your favorite text editor to extract code or to 'clean them up' before using them to replay a session. The `%logstart` function for activating logging in mid-session is used as follows:: %logstart [log_name [log_mode]] If no name is given, it defaults to a file named 'ipython_log.py' in your current working directory, in 'rotate' mode (see below). '%logstart name' saves to file 'name' in 'backup' mode. It saves your history up to that point and then continues logging. %logstart takes a second optional parameter: logging mode. This can be one of (note that the modes are given unquoted): * [over:] overwrite existing log_name. * [backup:] rename (if exists) to log_name~ and start log_name. * [append:] well, that says it. * [rotate:] create rotating logs log_name.1~, log_name.2~, etc. The %logoff and %logon functions allow you to temporarily stop and resume logging to a file which had previously been started with %logstart. They will fail (with an explanation) if you try to use them before logging has been started. .. _system_shell_access: System shell access ------------------- Any input line beginning with a ! character is passed verbatim (minus the !, of course) to the underlying operating system. For example, typing ``!ls`` will run 'ls' in the current directory. Manual capture of command output -------------------------------- You can assign the result of a system command to a Python variable with the syntax ``myfiles = !ls``. This gets machine readable output from stdout (e.g. without colours), and splits on newlines. To explicitly get this sort of output without assigning to a variable, use two exclamation marks (``!!ls``) or the ``%sx`` magic command. The captured list has some convenience features. ``myfiles.n`` or ``myfiles.s`` returns a string delimited by newlines or spaces, respectively. ``myfiles.p`` produces `path objects `_ from the list items. See :ref:`string_lists` for details. IPython also allows you to expand the value of python variables when making system calls. Wrap variables or expressions in {braces}:: In [1]: pyvar = 'Hello world' In [2]: !echo "A python variable: {pyvar}" A python variable: Hello world In [3]: import math In [4]: x = 8 In [5]: !echo {math.factorial(x)} 40320 For simple cases, you can alternatively prepend $ to a variable name:: In [6]: !echo $sys.argv [/home/fperez/usr/bin/ipython] In [7]: !echo "A system variable: $$HOME" # Use $$ for literal $ A system variable: /home/fperez System command aliases ---------------------- The %alias magic function allows you to define magic functions which are in fact system shell commands. These aliases can have parameters. ``%alias alias_name cmd`` defines 'alias_name' as an alias for 'cmd' Then, typing ``alias_name params`` will execute the system command 'cmd params' (from your underlying operating system). You can also define aliases with parameters using %s specifiers (one per parameter). The following example defines the parts function as an alias to the command 'echo first %s second %s' where each %s will be replaced by a positional parameter to the call to %parts:: In [1]: %alias parts echo first %s second %s In [2]: parts A B first A second B In [3]: parts A ERROR: Alias requires 2 arguments, 1 given. If called with no parameters, %alias prints the table of currently defined aliases. The %rehashx magic allows you to load your entire $PATH as ipython aliases. See its docstring for further details. .. _dreload: Recursive reload ---------------- The :mod:`IPython.lib.deepreload` module allows you to recursively reload a module: changes made to any of its dependencies will be reloaded without having to exit. To start using it, do:: from IPython.lib.deepreload import reload as dreload Verbose and colored exception traceback printouts ------------------------------------------------- IPython provides the option to see very detailed exception tracebacks, which can be especially useful when debugging large programs. You can run any Python file with the %run function to benefit from these detailed tracebacks. Furthermore, both normal and verbose tracebacks can be colored (if your terminal supports it) which makes them much easier to parse visually. See the magic xmode and colors functions for details. These features are basically a terminal version of Ka-Ping Yee's cgitb module, now part of the standard Python library. .. _input_caching: Input caching system -------------------- IPython offers numbered prompts (In/Out) with input and output caching (also referred to as 'input history'). All input is saved and can be retrieved as variables (besides the usual arrow key recall), in addition to the %rep magic command that brings a history entry up for editing on the next command line. The following variables always exist: * _i, _ii, _iii: store previous, next previous and next-next previous inputs. * In, _ih : a list of all inputs; _ih[n] is the input from line n. If you overwrite In with a variable of your own, you can remake the assignment to the internal list with a simple ``In=_ih``. Additionally, global variables named _i are dynamically created ( being the prompt counter), so ``_i == _ih[] == In[]``. For example, what you typed at prompt 14 is available as ``_i14``, ``_ih[14]`` and ``In[14]``. This allows you to easily cut and paste multi line interactive prompts by printing them out: they print like a clean string, without prompt characters. You can also manipulate them like regular variables (they are strings), modify or exec them. You can also re-execute multiple lines of input easily by using the magic %rerun or %macro functions. The macro system also allows you to re-execute previous lines which include magic function calls (which require special processing). Type %macro? for more details on the macro system. A history function %hist allows you to see any part of your input history by printing a range of the _i variables. You can also search ('grep') through your history by typing ``%hist -g somestring``. This is handy for searching for URLs, IP addresses, etc. You can bring history entries listed by '%hist -g' up for editing with the %recall command, or run them immediately with %rerun. .. _output_caching: Output caching system --------------------- For output that is returned from actions, a system similar to the input cache exists but using _ instead of _i. Only actions that produce a result (NOT assignments, for example) are cached. If you are familiar with Mathematica, IPython's _ variables behave exactly like Mathematica's % variables. The following variables always exist: * [_] (a single underscore): stores previous output, like Python's default interpreter. * [__] (two underscores): next previous. * [___] (three underscores): next-next previous. Additionally, global variables named _ are dynamically created ( being the prompt counter), such that the result of output is always available as _ (don't use the angle brackets, just the number, e.g. ``_21``). These variables are also stored in a global dictionary (not a list, since it only has entries for lines which returned a result) available under the names _oh and Out (similar to _ih and In). So the output from line 12 can be obtained as ``_12``, ``Out[12]`` or ``_oh[12]``. If you accidentally overwrite the Out variable you can recover it by typing ``Out=_oh`` at the prompt. This system obviously can potentially put heavy memory demands on your system, since it prevents Python's garbage collector from removing any previously computed results. You can control how many results are kept in memory with the configuration option ``InteractiveShell.cache_size``. If you set it to 0, output caching is disabled. You can also use the ``%reset`` and ``%xdel`` magics to clear large items from memory. Directory history ----------------- Your history of visited directories is kept in the global list _dh, and the magic %cd command can be used to go to any entry in that list. The %dhist command allows you to view this history. Do ``cd -`` to conveniently view the directory history. Automatic parentheses and quotes -------------------------------- These features were adapted from Nathan Gray's LazyPython. They are meant to allow less typing for common situations. Callable objects (i.e. functions, methods, etc) can be invoked like this (notice the commas between the arguments):: In [1]: callable_ob arg1, arg2, arg3 ------> callable_ob(arg1, arg2, arg3) .. note:: This feature is disabled by default. To enable it, use the ``%autocall`` magic command. The commands below with special prefixes will always work, however. You can force automatic parentheses by using '/' as the first character of a line. For example:: In [2]: /globals # becomes 'globals()' Note that the '/' MUST be the first character on the line! This won't work:: In [3]: print /globals # syntax error In most cases the automatic algorithm should work, so you should rarely need to explicitly invoke /. One notable exception is if you are trying to call a function with a list of tuples as arguments (the parenthesis will confuse IPython):: In [4]: zip (1,2,3),(4,5,6) # won't work but this will work:: In [5]: /zip (1,2,3),(4,5,6) ------> zip ((1,2,3),(4,5,6)) Out[5]: [(1, 4), (2, 5), (3, 6)] IPython tells you that it has altered your command line by displaying the new command line preceded by ``--->``. You can force automatic quoting of a function's arguments by using ``,`` or ``;`` as the first character of a line. For example:: In [1]: ,my_function /home/me # becomes my_function("/home/me") If you use ';' the whole argument is quoted as a single string, while ',' splits on whitespace:: In [2]: ,my_function a b c # becomes my_function("a","b","c") In [3]: ;my_function a b c # becomes my_function("a b c") Note that the ',' or ';' MUST be the first character on the line! This won't work:: In [4]: x = ,my_function /home/me # syntax error IPython as your default Python environment ========================================== Python honors the environment variable :envvar:`PYTHONSTARTUP` and will execute at startup the file referenced by this variable. If you put the following code at the end of that file, then IPython will be your working environment anytime you start Python:: import os, IPython os.environ['PYTHONSTARTUP'] = '' # Prevent running this again IPython.start_ipython() raise SystemExit The ``raise SystemExit`` is needed to exit Python when it finishes, otherwise you'll be back at the normal Python ``>>>`` prompt. This is probably useful to developers who manage multiple Python versions and don't want to have correspondingly multiple IPython versions. Note that in this mode, there is no way to pass IPython any command-line options, as those are trapped first by Python itself. .. _Embedding: Embedding IPython ================= You can start a regular IPython session with .. sourcecode:: python import IPython IPython.start_ipython(argv=[]) at any point in your program. This will load IPython configuration, startup files, and everything, just as if it were a normal IPython session. It is also possible to embed an IPython shell in a namespace in your Python code. This allows you to evaluate dynamically the state of your code, operate with your variables, analyze them, etc. Note however that any changes you make to values while in the shell do not propagate back to the running code, so it is safe to modify your values because you won't break your code in bizarre ways by doing so. .. note:: At present, embedding IPython cannot be done from inside IPython. Run the code samples below outside IPython. This feature allows you to easily have a fully functional python environment for doing object introspection anywhere in your code with a simple function call. In some cases a simple print statement is enough, but if you need to do more detailed analysis of a code fragment this feature can be very valuable. It can also be useful in scientific computing situations where it is common to need to do some automatic, computationally intensive part and then stop to look at data, plots, etc. Opening an IPython instance will give you full access to your data and functions, and you can resume program execution once you are done with the interactive part (perhaps to stop again later, as many times as needed). The following code snippet is the bare minimum you need to include in your Python programs for this to work (detailed examples follow later):: from IPython import embed embed() # this call anywhere in your program will start IPython You can also embed an IPython *kernel*, for use with qtconsole, etc. via ``IPython.embed_kernel()``. This should function work the same way, but you can connect an external frontend (``ipython qtconsole`` or ``ipython console``), rather than interacting with it in the terminal. You can run embedded instances even in code which is itself being run at the IPython interactive prompt with '%run '. Since it's easy to get lost as to where you are (in your top-level IPython or in your embedded one), it's a good idea in such cases to set the in/out prompts to something different for the embedded instances. The code examples below illustrate this. You can also have multiple IPython instances in your program and open them separately, for example with different options for data presentation. If you close and open the same instance multiple times, its prompt counters simply continue from each execution to the next. Please look at the docstrings in the :mod:`~IPython.frontend.terminal.embed` module for more details on the use of this system. The following sample file illustrating how to use the embedding functionality is provided in the examples directory as embed_class_long.py. It should be fairly self-explanatory: .. literalinclude:: ../../../examples/Embedding/embed_class_long.py :language: python Once you understand how the system functions, you can use the following code fragments in your programs which are ready for cut and paste: .. literalinclude:: ../../../examples/Embedding/embed_class_short.py :language: python Using the Python debugger (pdb) =============================== Running entire programs via pdb ------------------------------- pdb, the Python debugger, is a powerful interactive debugger which allows you to step through code, set breakpoints, watch variables, etc. IPython makes it very easy to start any script under the control of pdb, regardless of whether you have wrapped it into a 'main()' function or not. For this, simply type ``%run -d myscript`` at an IPython prompt. See the %run command's documentation for more details, including how to control where pdb will stop execution first. For more information on the use of the pdb debugger, see :ref:`debugger-commands` in the Python documentation. Post-mortem debugging --------------------- Going into a debugger when an exception occurs can be extremely useful in order to find the origin of subtle bugs, because pdb opens up at the point in your code which triggered the exception, and while your program is at this point 'dead', all the data is still available and you can walk up and down the stack frame and understand the origin of the problem. You can use the ``%debug`` magic after an exception has occurred to start post-mortem debugging. IPython can also call debugger every time your code triggers an uncaught exception. This feature can be toggled with the %pdb magic command, or you can start IPython with the ``--pdb`` option. For a post-mortem debugger in your programs outside IPython, put the following lines toward the top of your 'main' routine:: import sys from IPython.core import ultratb sys.excepthook = ultratb.FormattedTB(mode='Verbose', color_scheme='Linux', call_pdb=1) The mode keyword can be either 'Verbose' or 'Plain', giving either very detailed or normal tracebacks respectively. The color_scheme keyword can be one of 'NoColor', 'Linux' (default) or 'LightBG'. These are the same options which can be set in IPython with ``--colors`` and ``--xmode``. This will give any of your programs detailed, colored tracebacks with automatic invocation of pdb. .. _pasting_with_prompts: Pasting of code starting with Python or IPython prompts ======================================================= IPython is smart enough to filter out input prompts, be they plain Python ones (``>>>`` and ``...``) or IPython ones (``In [N]:`` and ``...:``). You can therefore copy and paste from existing interactive sessions without worry. The following is a 'screenshot' of how things work, copying an example from the standard Python tutorial:: In [1]: >>> # Fibonacci series: In [2]: ... # the sum of two elements defines the next In [3]: ... a, b = 0, 1 In [4]: >>> while b < 10: ...: ... print(b) ...: ... a, b = b, a+b ...: 1 1 2 3 5 8 And pasting from IPython sessions works equally well:: In [1]: In [5]: def f(x): ...: ...: "A simple function" ...: ...: return x**2 ...: ...: In [2]: f(3) Out[2]: 9 .. _gui_support: GUI event loop support ====================== .. versionadded:: 0.11 The ``%gui`` magic and :mod:`IPython.lib.inputhook`. IPython has excellent support for working interactively with Graphical User Interface (GUI) toolkits, such as wxPython, PyQt4/PySide, PyGTK and Tk. This is implemented using Python's builtin ``PyOSInputHook`` hook. This implementation is extremely robust compared to our previous thread-based version. The advantages of this are: * GUIs can be enabled and disabled dynamically at runtime. * The active GUI can be switched dynamically at runtime. * In some cases, multiple GUIs can run simultaneously with no problems. * There is a developer API in :mod:`IPython.lib.inputhook` for customizing all of these things. For users, enabling GUI event loop integration is simple. You simple use the ``%gui`` magic as follows:: %gui [GUINAME] With no arguments, ``%gui`` removes all GUI support. Valid ``GUINAME`` arguments are ``wx``, ``qt``, ``gtk`` and ``tk``. Thus, to use wxPython interactively and create a running :class:`wx.App` object, do:: %gui wx You can also start IPython with an event loop set up using the :option:`--gui` flag:: $ ipython --gui=qt For information on IPython's matplotlib_ integration (and the ``matplotlib`` mode) see :ref:`this section `. For developers that want to use IPython's GUI event loop integration in the form of a library, these capabilities are exposed in library form in the :mod:`IPython.lib.inputhook` and :mod:`IPython.lib.guisupport` modules. Interested developers should see the module docstrings for more information, but there are a few points that should be mentioned here. First, the ``PyOSInputHook`` approach only works in command line settings where readline is activated. The integration with various eventloops is handled somewhat differently (and more simply) when using the standalone kernel, as in the qtconsole and notebook. Second, when using the ``PyOSInputHook`` approach, a GUI application should *not* start its event loop. Instead all of this is handled by the ``PyOSInputHook``. This means that applications that are meant to be used both in IPython and as standalone apps need to have special code to detects how the application is being run. We highly recommend using IPython's support for this. Since the details vary slightly between toolkits, we point you to the various examples in our source directory :file:`examples/lib` that demonstrate these capabilities. Third, unlike previous versions of IPython, we no longer "hijack" (replace them with no-ops) the event loops. This is done to allow applications that actually need to run the real event loops to do so. This is often needed to process pending events at critical points. Finally, we also have a number of examples in our source directory :file:`examples/lib` that demonstrate these capabilities. PyQt and PySide --------------- .. attempt at explanation of the complete mess that is Qt support When you use ``--gui=qt`` or ``--matplotlib=qt``, IPython can work with either PyQt4 or PySide. There are three options for configuration here, because PyQt4 has two APIs for QString and QVariant - v1, which is the default on Python 2, and the more natural v2, which is the only API supported by PySide. v2 is also the default for PyQt4 on Python 3. IPython's code for the QtConsole uses v2, but you can still use any interface in your code, since the Qt frontend is in a different process. The default will be to import PyQt4 without configuration of the APIs, thus matching what most applications would expect. It will fall back of PySide if PyQt4 is unavailable. If specified, IPython will respect the environment variable ``QT_API`` used by ETS. ETS 4.0 also works with both PyQt4 and PySide, but it requires PyQt4 to use its v2 API. So if ``QT_API=pyside`` PySide will be used, and if ``QT_API=pyqt`` then PyQt4 will be used *with the v2 API* for QString and QVariant, so ETS codes like MayaVi will also work with IPython. If you launch IPython in matplotlib mode with ``ipython --matplotlib=qt``, then IPython will ask matplotlib which Qt library to use (only if QT_API is *not set*), via the 'backend.qt4' rcParam. If matplotlib is version 1.0.1 or older, then IPython will always use PyQt4 without setting the v2 APIs, since neither v2 PyQt nor PySide work. .. warning:: Note that this means for ETS 4 to work with PyQt4, ``QT_API`` *must* be set to work with IPython's qt integration, because otherwise PyQt4 will be loaded in an incompatible mode. It also means that you must *not* have ``QT_API`` set if you want to use ``--gui=qt`` with code that requires PyQt4 API v1. .. _matplotlib_support: Plotting with matplotlib ======================== matplotlib_ provides high quality 2D and 3D plotting for Python. matplotlib_ can produce plots on screen using a variety of GUI toolkits, including Tk, PyGTK, PyQt4 and wxPython. It also provides a number of commands useful for scientific computing, all with a syntax compatible with that of the popular Matlab program. To start IPython with matplotlib support, use the ``--matplotlib`` switch. If IPython is already running, you can run the ``%matplotlib`` magic. If no arguments are given, IPython will automatically detect your choice of matplotlib backend. You can also request a specific backend with ``%matplotlib backend``, where ``backend`` must be one of: 'tk', 'qt', 'wx', 'gtk', 'osx'. In the web notebook and Qt console, 'inline' is also a valid backend value, which produces static figures inlined inside the application window instead of matplotlib's interactive figures that live in separate windows. .. _interactive_demos: Interactive demos with IPython ============================== IPython ships with a basic system for running scripts interactively in sections, useful when presenting code to audiences. A few tags embedded in comments (so that the script remains valid Python code) divide a file into separate blocks, and the demo can be run one block at a time, with IPython printing (with syntax highlighting) the block before executing it, and returning to the interactive prompt after each block. The interactive namespace is updated after each block is run with the contents of the demo's namespace. This allows you to show a piece of code, run it and then execute interactively commands based on the variables just created. Once you want to continue, you simply execute the next block of the demo. The following listing shows the markup necessary for dividing a script into sections for execution as a demo: .. literalinclude:: ../../../examples/IPython Kernel/example-demo.py :language: python In order to run a file as a demo, you must first make a Demo object out of it. If the file is named myscript.py, the following code will make a demo:: from IPython.lib.demo import Demo mydemo = Demo('myscript.py') This creates the mydemo object, whose blocks you run one at a time by simply calling the object with no arguments. Then call it to run each step of the demo:: mydemo() Demo objects can be restarted, you can move forward or back skipping blocks, re-execute the last block, etc. See the :mod:`IPython.lib.demo` module and the :class:`~IPython.lib.demo.Demo` class for details. Limitations: These demos are limited to fairly simple uses. In particular, you cannot break up sections within indented code (loops, if statements, function definitions, etc.) Supporting something like this would basically require tracking the internal execution state of the Python interpreter, so only top-level divisions are allowed. If you want to be able to open an IPython instance at an arbitrary point in a program, you can use IPython's :ref:`embedding facilities `. .. include:: ../links.txt ipython-2.4.1/docs/source/interactive/shell.rst0000644000076500000000000001625112466235755022100 0ustar minrkwheel00000000000000.. _ipython_as_shell: ========================= IPython as a system shell ========================= Overview ======== It is possible to adapt IPython for system shell usage. In the past, IPython shipped a special 'sh' profile for this purpose, but it had been quarantined since 0.11 release, and in 1.0 it was removed altogether. Nevertheless, much of this section relies on machinery which does not require a custom profile. You can set up your own 'sh' :ref:`profile ` to be different from the default profile such that: * Prompt shows the current directory (see `Prompt customization`_) * Make system commands directly available (in alias table) by running the ``%rehashx`` magic. If you install new programs along your PATH, you might want to run ``%rehashx`` to update the alias table * turn ``%autocall`` to full mode Aliases ======= Once you run ``%rehashx``, all of your $PATH has been loaded as IPython aliases, so you should be able to type any normal system command and have it executed. See ``%alias?`` and ``%unalias?`` for details on the alias facilities. See also ``%rehashx?`` for details on the mechanism used to load $PATH. Directory management ==================== Since each command passed by ipython to the underlying system is executed in a subshell which exits immediately, you can NOT use !cd to navigate the filesystem. IPython provides its own builtin ``%cd`` magic command to move in the filesystem (the % is not required with automagic on). It also maintains a list of visited directories (use ``%dhist`` to see it) and allows direct switching to any of them. Type ``cd?`` for more details. ``%pushd``, ``%popd`` and ``%dirs`` are provided for directory stack handling. Prompt customization ==================== Here are some prompt configurations you can try out interactively by using the ``%config`` magic:: %config PromptManager.in_template = r'{color.LightGreen}\u@\h{color.LightBlue}[{color.LightCyan}\Y1{color.LightBlue}]{color.Green}|\#> ' %config PromptManager.in2_template = r'{color.Green}|{color.LightGreen}\D{color.Green}> ' %config PromptManager.out_template = r'<\#> ' You can change the prompt configuration to your liking permanently by editing ``ipython_config.py``:: c.PromptManager.in_template = r'{color.LightGreen}\u@\h{color.LightBlue}[{color.LightCyan}\Y1{color.LightBlue}]{color.Green}|\#> ' c.PromptManager.in2_template = r'{color.Green}|{color.LightGreen}\D{color.Green}> ' c.PromptManager.out_template = r'<\#> ' Read more about the :ref:`configuration system ` for details on how to find ``ipython_config.py``. .. _string_lists: String lists ============ String lists (IPython.utils.text.SList) are handy way to process output from system commands. They are produced by ``var = !cmd`` syntax. First, we acquire the output of 'ls -l':: [Q:doc/examples]|2> lines = !ls -l == ['total 23', '-rw-rw-rw- 1 ville None 1163 Sep 30 2006 example-demo.py', '-rw-rw-rw- 1 ville None 1927 Sep 30 2006 example-embed-short.py', '-rwxrwxrwx 1 ville None 4606 Sep 1 17:15 example-embed.py', '-rwxrwxrwx 1 ville None 1017 Sep 30 2006 example-gnuplot.py', '-rwxrwxrwx 1 ville None 339 Jun 11 18:01 extension.py', '-rwxrwxrwx 1 ville None 113 Dec 20 2006 seteditor.py', '-rwxrwxrwx 1 ville None 245 Dec 12 2006 seteditor.pyc'] Now, let's take a look at the contents of 'lines' (the first number is the list element number):: [Q:doc/examples]|3> lines <3> SList (.p, .n, .l, .s, .grep(), .fields() available). Value: 0: total 23 1: -rw-rw-rw- 1 ville None 1163 Sep 30 2006 example-demo.py 2: -rw-rw-rw- 1 ville None 1927 Sep 30 2006 example-embed-short.py 3: -rwxrwxrwx 1 ville None 4606 Sep 1 17:15 example-embed.py 4: -rwxrwxrwx 1 ville None 1017 Sep 30 2006 example-gnuplot.py 5: -rwxrwxrwx 1 ville None 339 Jun 11 18:01 extension.py 6: -rwxrwxrwx 1 ville None 113 Dec 20 2006 seteditor.py 7: -rwxrwxrwx 1 ville None 245 Dec 12 2006 seteditor.pyc Now, let's filter out the 'embed' lines:: [Q:doc/examples]|4> l2 = lines.grep('embed',prune=1) [Q:doc/examples]|5> l2 <5> SList (.p, .n, .l, .s, .grep(), .fields() available). Value: 0: total 23 1: -rw-rw-rw- 1 ville None 1163 Sep 30 2006 example-demo.py 2: -rwxrwxrwx 1 ville None 1017 Sep 30 2006 example-gnuplot.py 3: -rwxrwxrwx 1 ville None 339 Jun 11 18:01 extension.py 4: -rwxrwxrwx 1 ville None 113 Dec 20 2006 seteditor.py 5: -rwxrwxrwx 1 ville None 245 Dec 12 2006 seteditor.pyc Now, we want strings having just file names and permissions:: [Q:doc/examples]|6> l2.fields(8,0) <6> SList (.p, .n, .l, .s, .grep(), .fields() available). Value: 0: total 1: example-demo.py -rw-rw-rw- 2: example-gnuplot.py -rwxrwxrwx 3: extension.py -rwxrwxrwx 4: seteditor.py -rwxrwxrwx 5: seteditor.pyc -rwxrwxrwx Note how the line with 'total' does not raise IndexError. If you want to split these (yielding lists), call fields() without arguments:: [Q:doc/examples]|7> _.fields() <7> [['total'], ['example-demo.py', '-rw-rw-rw-'], ['example-gnuplot.py', '-rwxrwxrwx'], ['extension.py', '-rwxrwxrwx'], ['seteditor.py', '-rwxrwxrwx'], ['seteditor.pyc', '-rwxrwxrwx']] If you want to pass these separated with spaces to a command (typical for lists if files), use the .s property:: [Q:doc/examples]|13> files = l2.fields(8).s [Q:doc/examples]|14> files <14> 'example-demo.py example-gnuplot.py extension.py seteditor.py seteditor.pyc' [Q:doc/examples]|15> ls $files example-demo.py example-gnuplot.py extension.py seteditor.py seteditor.pyc SLists are inherited from normal python lists, so every list method is available:: [Q:doc/examples]|21> lines.append('hey') Real world example: remove all files outside version control ------------------------------------------------------------ First, capture output of "hg status":: [Q:/ipython]|28> out = !hg status == ['M IPython\\extensions\\ipy_kitcfg.py', 'M IPython\\extensions\\ipy_rehashdir.py', ... '? build\\lib\\IPython\\Debugger.py', '? build\\lib\\IPython\\extensions\\InterpreterExec.py', '? build\\lib\\IPython\\extensions\\InterpreterPasteInput.py', ... (lines starting with ? are not under version control). :: [Q:/ipython]|35> junk = out.grep(r'^\?').fields(1) [Q:/ipython]|36> junk <36> SList (.p, .n, .l, .s, .grep(), .fields() availab ... 10: build\bdist.win32\winexe\temp\_ctypes.py 11: build\bdist.win32\winexe\temp\_hashlib.py 12: build\bdist.win32\winexe\temp\_socket.py Now we can just remove these files by doing 'rm $junk.s'. The .s, .n, .p properties ------------------------- The ``.s`` property returns one string where lines are separated by single space (for convenient passing to system commands). The ``.n`` property return one string where the lines are separated by a newline (i.e. the original output of the function). If the items in string list are file names, ``.p`` can be used to get a list of "path" objects for convenient file manipulation. ipython-2.4.1/docs/source/interactive/tips.rst0000644000076500000000000000677012466235755021755 0ustar minrkwheel00000000000000.. _tips: ===================== IPython Tips & Tricks ===================== The `IPython cookbook `_ details more things you can do with IPython. .. This is not in the current version: Embed IPython in your programs ------------------------------ A few lines of code are enough to load a complete IPython inside your own programs, giving you the ability to work with your data interactively after automatic processing has been completed. See :ref:`the embedding section `. Run doctests ------------ Run your doctests from within IPython for development and debugging. The special %doctest_mode command toggles a mode where the prompt, output and exceptions display matches as closely as possible that of the default Python interpreter. In addition, this mode allows you to directly paste in code that contains leading '>>>' prompts, even if they have extra leading whitespace (as is common in doctest files). This combined with the ``%history -t`` call to see your translated history allows for an easy doctest workflow, where you can go from doctest to interactive execution to pasting into valid Python code as needed. Use IPython to present interactive demos ---------------------------------------- Use the :class:`IPython.lib.demo.Demo` class to load any Python script as an interactive demo. With a minimal amount of simple markup, you can control the execution of the script, stopping as needed. See :ref:`here ` for more. Suppress output --------------- Put a ';' at the end of a line to suppress the printing of output. This is useful when doing calculations which generate long output you are not interested in seeing. It also keeps the object out of the output cache, so if you're working with large temporary objects, they'll be released from memory sooner. Lightweight 'version control' ----------------------------- When you call ``%edit`` with no arguments, IPython opens an empty editor with a temporary file, and it returns the contents of your editing session as a string variable. Thanks to IPython's output caching mechanism, this is automatically stored:: In [1]: %edit IPython will make a temporary file named: /tmp/ipython_edit_yR-HCN.py Editing... done. Executing edited code... hello - this is a temporary file Out[1]: "print('hello - this is a temporary file')\n" Now, if you call ``%edit -p``, IPython tries to open an editor with the same data as the last time you used %edit. So if you haven't used %edit in the meantime, this same contents will reopen; however, it will be done in a new file. This means that if you make changes and you later want to find an old version, you can always retrieve it by using its output number, via '%edit _NN', where NN is the number of the output prompt. Continuing with the example above, this should illustrate this idea:: In [2]: edit -p IPython will make a temporary file named: /tmp/ipython_edit_nA09Qk.py Editing... done. Executing edited code... hello - now I made some changes Out[2]: "print('hello - now I made some changes')\n" In [3]: edit _1 IPython will make a temporary file named: /tmp/ipython_edit_gy6-zD.py Editing... done. Executing edited code... hello - this is a temporary file IPython version control at work :) Out[3]: "print('hello - this is a temporary file')\nprint('IPython version control at work :)')\n" This section was written after a contribution by Alexander Belchenko on the IPython user list. ipython-2.4.1/docs/source/interactive/tutorial.rst0000644000076500000000000001767212466235755022644 0ustar minrkwheel00000000000000.. _tutorial: ====================== Introducing IPython ====================== You don't need to know anything beyond Python to start using IPython – just type commands as you would at the standard Python prompt. But IPython can do much more than the standard prompt. Some key features are described here. For more information, check the :ref:`tips page `, or look at examples in the `IPython cookbook `_. If you've never used Python before, you might want to look at `the official tutorial `_ or an alternative, `Dive into Python `_. The four most helpful commands =============================== The four most helpful commands, as well as their brief description, is shown to you in a banner, every time you start IPython: ========== ========================================================= command description ========== ========================================================= ? Introduction and overview of IPython's features. %quickref Quick reference. help Python's own help system. object? Details about 'object', use 'object??' for extra details. ========== ========================================================= Tab completion ============== Tab completion, especially for attributes, is a convenient way to explore the structure of any object you're dealing with. Simply type ``object_name.`` to view the object's attributes (see :ref:`the readline section ` for more). Besides Python objects and keywords, tab completion also works on file and directory names. Exploring your objects ====================== Typing ``object_name?`` will print all sorts of details about any object, including docstrings, function definition lines (for call arguments) and constructor details for classes. To get specific information on an object, you can use the magic commands ``%pdoc``, ``%pdef``, ``%psource`` and ``%pfile`` .. _magics_explained: Magic functions =============== IPython has a set of predefined 'magic functions' that you can call with a command line style syntax. There are two kinds of magics, line-oriented and cell-oriented. **Line magics** are prefixed with the ``%`` character and work much like OS command-line calls: they get as an argument the rest of the line, where arguments are passed without parentheses or quotes. **Cell magics** are prefixed with a double ``%%``, and they are functions that get as an argument not only the rest of the line, but also the lines below it in a separate argument. The following examples show how to call the builtin ``timeit`` magic, both in line and cell mode:: In [1]: %timeit range(1000) 100000 loops, best of 3: 7.76 us per loop In [2]: %%timeit x = range(10000) ...: max(x) ...: 1000 loops, best of 3: 223 us per loop The builtin magics include: - Functions that work with code: ``%run``, ``%edit``, ``%save``, ``%macro``, ``%recall``, etc. - Functions which affect the shell: ``%colors``, ``%xmode``, ``%autoindent``, ``%automagic``, etc. - Other functions such as ``%reset``, ``%timeit``, ``%%file``, ``%load``, or ``%paste``. You can always call them using the ``%`` prefix, and if you're calling a line magic on a line by itself, you can omit even that:: run thescript.py You can toggle this behavior by running the ``%automagic`` magic. Cell magics must always have the ``%%`` prefix. A more detailed explanation of the magic system can be obtained by calling ``%magic``, and for more details on any magic function, call ``%somemagic?`` to read its docstring. To see all the available magic functions, call ``%lsmagic``. .. seealso:: `Cell magics`_ example notebook Running and Editing ------------------- The ``%run`` magic command allows you to run any python script and load all of its data directly into the interactive namespace. Since the file is re-read from disk each time, changes you make to it are reflected immediately (unlike imported modules, which have to be specifically reloaded). IPython also includes :ref:`dreload `, a recursive reload function. ``%run`` has special flags for timing the execution of your scripts (-t), or for running them under the control of either Python's pdb debugger (-d) or profiler (-p). The ``%edit`` command gives a reasonable approximation of multiline editing, by invoking your favorite editor on the spot. IPython will execute the code you type in there as if it were typed interactively. Debugging --------- After an exception occurs, you can call ``%debug`` to jump into the Python debugger (pdb) and examine the problem. Alternatively, if you call ``%pdb``, IPython will automatically start the debugger on any uncaught exception. You can print variables, see code, execute statements and even walk up and down the call stack to track down the true source of the problem. This can be an efficient way to develop and debug code, in many cases eliminating the need for print statements or external debugging tools. You can also step through a program from the beginning by calling ``%run -d theprogram.py``. History ======= IPython stores both the commands you enter, and the results it produces. You can easily go through previous commands with the up- and down-arrow keys, or access your history in more sophisticated ways. Input and output history are kept in variables called ``In`` and ``Out``, keyed by the prompt numbers, e.g. ``In[4]``. The last three objects in output history are also kept in variables named ``_``, ``__`` and ``___``. You can use the ``%history`` magic function to examine past input and output. Input history from previous sessions is saved in a database, and IPython can be configured to save output history. Several other magic functions can use your input history, including ``%edit``, ``%rerun``, ``%recall``, ``%macro``, ``%save`` and ``%pastebin``. You can use a standard format to refer to lines:: %pastebin 3 18-20 ~1/1-5 This will take line 3 and lines 18 to 20 from the current session, and lines 1-5 from the previous session. System shell commands ===================== To run any command at the system shell, simply prefix it with !, e.g.:: !ping www.bbc.co.uk You can capture the output into a Python list, e.g.: ``files = !ls``. To pass the values of Python variables or expressions to system commands, prefix them with $: ``!grep -rF $pattern ipython/*``. See :ref:`our shell section ` for more details. Define your own system aliases ------------------------------ It's convenient to have aliases to the system commands you use most often. This allows you to work seamlessly from inside IPython with the same commands you are used to in your system shell. IPython comes with some pre-defined aliases and a complete system for changing directories, both via a stack (see %pushd, %popd and %dhist) and via direct %cd. The latter keeps a history of visited directories and allows you to go to any previously visited one. Configuration ============= Much of IPython can be tweaked through :doc:`configuration `. To get started, use the command ``ipython profile create`` to produce the default config files. These will be placed in :file:`~/.ipython/profile_default`, and contain comments explaining what the various options do. Profiles allow you to use IPython for different tasks, keeping separate config files and history for each one. More details in :ref:`the profiles section `. Startup Files ------------- If you want some code to be run at the beginning of every IPython session, the easiest way is to add Python (.py) or IPython (.ipy) scripts to your :file:`profile_default/startup/` directory. Files here will be executed as soon as the IPython shell is constructed, before any other code or scripts you have specified. The files will be run in order of their names, so you can control the ordering with prefixes, like ``10-myimports.py``. .. include:: ../links.txt ipython-2.4.1/docs/source/links.txt0000644000076500000000000001044112466235755017576 0ustar minrkwheel00000000000000.. This (-*- rst -*-) format file contains commonly used link targets and name substitutions. It may be included in many files, therefore it should only contain link targets and name substitutions. Try grepping for "^\.\. _" to find plausible candidates for this list. NOTE: this file must have an extension *opposite* to that of the main reST files in the manuals, so that we can include it with ".. include::" directives, but without triggering warnings from Sphinx for not being listed in any toctree. Since IPython uses .txt for the main files, this one will use .rst. NOTE: reST targets are __not_case_sensitive__, so only one target definition is needed for ipython, IPython, etc. NOTE: Some of these were taken from the nipy links compendium. .. Main IPython links .. _ipython: http://ipython.org .. _`ipython manual`: http://ipython.org/documentation.html .. _ipython_github: http://github.com/ipython/ipython/ .. _ipython_github_repo: http://github.com/ipython/ipython/ .. _ipython_downloads: http://ipython.org/download.html .. _ipython_pypi: http://pypi.python.org/pypi/ipython .. _nbviewer: http://nbviewer.ipython.org .. _ZeroMQ: http://zeromq.org .. Documentation tools and related links .. _graphviz: http://www.graphviz.org .. _Sphinx: http://sphinx.pocoo.org .. _`Sphinx reST`: http://sphinx.pocoo.org/rest.html .. _sampledoc: http://matplotlib.org/sampledoc .. _reST: http://docutils.sourceforge.net/rst.html .. _docutils: http://docutils.sourceforge.net .. _lyx: http://www.lyx.org .. _pep8: http://www.python.org/dev/peps/pep-0008 .. _numpy_coding_guide: https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt .. Licenses .. _GPL: http://www.gnu.org/licenses/gpl.html .. _BSD: http://www.opensource.org/licenses/bsd-license.php .. _LGPL: http://www.gnu.org/copyleft/lesser.html .. Other python projects .. _numpy: http://numpy.scipy.org .. _scipy: http://www.scipy.org .. _scipy_conference: http://conference.scipy.org .. _matplotlib: http://matplotlib.org .. _pythonxy: http://www.pythonxy.com .. _ETS: http://code.enthought.com/projects/tool-suite.php .. _EPD: http://www.enthought.com/products/epd.php .. _python: http://www.python.org .. _mayavi: http://code.enthought.com/projects/mayavi .. _sympy: http://code.google.com/p/sympy .. _sage: http://sagemath.org .. _pydy: http://code.google.com/p/pydy .. _vpython: http://vpython.org .. _cython: http://cython.org .. _software carpentry: http://software-carpentry.org .. Not so python scientific computing tools .. _matlab: http://www.mathworks.com .. _VTK: http://vtk.org .. Other organizations .. _enthought: http://www.enthought.com .. _kitware: http://www.kitware.com .. _netlib: http://netlib.org .. Other tools and projects .. _indefero: http://www.indefero.net .. _git: http://git-scm.com .. _github: http://github.com .. _Markdown: http://daringfireball.net/projects/markdown/syntax .. _Running Code in the IPython Notebook: notebook_p1_ .. _notebook_p1: http://nbviewer.ipython.org/urls/raw.github.com/ipython/ipython/1.x/examples/notebooks/Part%25201%2520-%2520Running%2520Code.ipynb .. _Basic Output: notebook_p2_ .. _notebook_p2: http://nbviewer.ipython.org/urls/raw.github.com/ipython/ipython/1.x/examples/notebooks/Part%202%20-%20Basic%20Output.ipynb .. _Plotting with Matplotlib: notebook_p3_ .. _notebook_p3: http://nbviewer.ipython.org/urls/raw.github.com/ipython/ipython/1.x/examples/notebooks/Part%203%20-%20Plotting%20with%20Matplotlib.ipynb .. _Markdown Cells: notebook_p4_ .. _notebook_p4: http://nbviewer.ipython.org/urls/raw.github.com/ipython/ipython/1.x/examples/notebooks/Part%204%20-%20Markdown%20Cells.ipynb .. _Rich Display System: notebook_p5_ .. _notebook_p5: http://nbviewer.ipython.org/urls/raw.github.com/ipython/ipython/1.x/examples/notebooks/Part%205%20-%20Rich%20Display%20System.ipynb .. _notebook_custom_display: http://nbviewer.ipython.org/urls/raw.github.com/ipython/ipython/1.x/examples/notebooks/Custom%20Display%20Logic.ipynb .. _Frontend/Kernel Model: notebook_two_proc_ .. _notebook_two_proc: http://nbviewer.ipython.org/urls/raw.github.com/ipython/ipython/1.x/examples/notebooks/Frontend-Kernel%20Model.ipynb .. _Cell magics: notebook_cell_magics_ .. _notebook_cell_magics: http://nbviewer.ipython.org/urls/raw.github.com/ipython/ipython/1.x/examples/notebooks/Cell%20Magics.ipynb ipython-2.4.1/docs/source/notebook/0000755000076500000000000000000012466236022017521 5ustar minrkwheel00000000000000ipython-2.4.1/docs/source/notebook/index.rst0000644000076500000000000000023212466235755021373 0ustar minrkwheel00000000000000==================== The IPython notebook ==================== .. toctree:: :maxdepth: 2 notebook nbconvert public_server 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Currently, ``nbconvert`` is provided as a command line tool, run as a script using IPython. A direct export capability from within the IPython Notebook web app is planned. The command-line syntax to run the ``nbconvert`` script is:: $ ipython nbconvert --to FORMAT notebook.ipynb This will convert the IPython document file ``notebook.ipynb`` into the output format given by the ``FORMAT`` string. The default output format is html, for which the ``--to`` argument may be omitted:: $ ipython nbconvert notebook.ipynb IPython provides a few templates for some output formats, and these can be specified via an additional ``--template`` argument. The currently supported export formats are: * ``--to html`` - ``--template full`` (default) A full static HTML render of the notebook. This looks very similar to the interactive view. - ``--template basic`` Simplified HTML, useful for embedding in webpages, blogs, etc. This excludes HTML headers. * ``--to latex`` Latex export. This generates ``NOTEBOOK_NAME.tex`` file, ready for export. You can automatically run latex on it to generate a PDF by adding ``--post PDF``. - ``--template article`` (default) Latex article, derived from Sphinx's howto template. - ``--template book`` Latex book, derived from Sphinx's manual template. - ``--template basic`` Very basic latex output - mainly meant as a starting point for custom templates. * ``--to slides`` This generates a Reveal.js HTML slideshow. It must be served by an HTTP server. The easiest way to do this is adding ``--post serve`` on the command-line. The ``serve`` post-processor proxies Reveal.js requests to a CDN if no local Reveal.js library is present. To make slides that don't require an internet connection, just place the Reveal.js library in the same directory where your_talk.slides.html is located, or point to another directory using the ``--reveal-prefix`` alias. * ``--to markdown`` Simple markdown output. Markdown cells are unaffected, and code cells indented 4 spaces. * ``--to rst`` Basic reStructuredText output. Useful as a starting point for embedding notebooks in Sphinx docs. * ``--to python`` Convert a notebook to an executable Python script. This is the simplest way to get a Python script out of a notebook. If there were any magics in the notebook, this may only be executable from an IPython session. .. note:: nbconvert uses pandoc_ to convert between various markup languages, so pandoc is a dependency of most nbconvert transforms, excluding Markdown and Python. .. _pandoc: http://johnmacfarlane.net/pandoc/ The output file created by ``nbconvert`` will have the same base name as the notebook and will be placed in the current working directory. Any supporting files (graphics, etc) will be placed in a new directory with the same base name as the notebook, suffixed with ``_files``:: $ ipython nbconvert notebook.ipynb $ ls notebook.ipynb notebook.html notebook_files/ For simple single-file output, such as html, markdown, etc., the output may be sent to standard output with:: $ ipython nbconvert --to markdown notebook.ipynb --stdout Multiple notebooks can be specified from the command line:: $ ipython nbconvert notebook*.ipynb $ ipython nbconvert notebook1.ipynb notebook2.ipynb or via a list in a configuration file, say ``mycfg.py``, containing the text:: c = get_config() c.NbConvertApp.notebooks = ["notebook1.ipynb", "notebook2.ipynb"] and using the command:: $ ipython nbconvert --config mycfg.py .. _notebook_format: LaTeX citations --------------- ``nbconvert`` now has support for LaTeX citations. With this capability you can: * Manage citations using BibTeX. * Cite those citations in Markdown cells using HTML data attributes. * Have ``nbconvert`` generate proper LaTeX citations and run BibTeX. For an example of how this works, please see the citations example in the nbconvert-examples_ repository. .. _nbconvert-examples: https://github.com/ipython/nbconvert-examples Notebook JSON file format ------------------------- Notebook documents are JSON files with an ``.ipynb`` extension, formatted as legibly as possible with minimal extra indentation and cell content broken across lines to make them reasonably friendly to use in version-control workflows. You should be very careful if you ever manually edit this JSON data, as it is extremely easy to corrupt its internal structure and make the file impossible to load. In general, you should consider the notebook as a file meant only to be edited by the IPython Notebook app itself, not for hand-editing. .. note:: Binary data such as figures are also saved directly in the JSON file. This provides convenient single-file portability, but means that the files can be large; a ``diff`` of binary data is also not very meaningful. Since the binary blobs are encoded in a single line, they affect only one line of the ``diff`` output, but they are typically very long lines. You can use the ``Cell | All Output | Clear`` menu option to remove all output from a notebook prior to committing it to version control, if this is a concern. The notebook server can also generate a pure Python version of your notebook, using the ``File | Download as`` menu option. The resulting ``.py`` file will contain all the code cells from your notebook verbatim, and all Markdown cells prepended with a comment marker. The separation between code and Markdown cells is indicated with special comments and there is a header indicating the format version. All output is removed when exporting to Python. As an example, consider a simple notebook called ``simple.ipynb`` which contains one Markdown cell, with the content ``The simplest notebook.``, one code input cell with the content ``print "Hello, IPython!"``, and the corresponding output. The contents of the notebook document ``simple.ipynb`` is the following JSON container:: { "metadata": { "name": "simple" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": "The simplest notebook." }, { "cell_type": "code", "collapsed": false, "input": "print \"Hello, IPython\"", "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": "Hello, IPython\n" } ], "prompt_number": 1 } ], "metadata": {} } ] } The corresponding Python script is:: # -*- coding: utf-8 -*- # 3.0 # # The simplest notebook. # print "Hello, IPython" Note that indeed the output of the code cell, which is present in the JSON container, has been removed in the ``.py`` script. ipython-2.4.1/docs/source/notebook/notebook.rst0000644000076500000000000004710212466235755022113 0ustar minrkwheel00000000000000.. _htmlnotebook: The IPython Notebook ==================== Introduction ------------ The notebook extends the console-based approach to interactive computing in a qualitatively new direction, providing a web-based application suitable for capturing the whole computation process: developing, documenting, and executing code, as well as communicating the results. The IPython notebook combines two components: **A web application**: a browser-based tool for interactive authoring of documents which combine explanatory text, mathematics, computations and their rich media output. **Notebook documents**: a representation of all content visible in the web application, including inputs and outputs of the computations, explanatory text, mathematics, images, and rich media representations of objects. .. seealso:: See the :ref:`installation documentation ` for directions on how to install the notebook and its dependencies. Main features of the web application ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * In-browser editing for code, with automatic syntax highlighting, indentation, and tab completion/introspection. * The ability to execute code from the browser, with the results of computations attached to the code which generated them. * Displaying the result of computation using rich media representations, such as HTML, LaTeX, PNG, SVG, etc. For example, publication-quality figures rendered by the matplotlib_ library, can be included inline. * In-browser editing for rich text using the Markdown_ markup language, which can provide commentary for the code, is not limited to plain text. * The ability to easily include mathematical notation within markdown cells using LaTeX, and rendered natively by MathJax_. .. _MathJax: http://www.mathjax.org/ Notebook documents ~~~~~~~~~~~~~~~~~~ Notebook documents contains the inputs and outputs of a interactive session as well as additional text that accompanies the code but is not meant for execution. In this way, notebook files can serve as a complete computational record of a session, interleaving executable code with explanatory text, mathematics, and rich representations of resulting objects. These documents are internally JSON_ files and are saved with the ``.ipynb`` extension. Since JSON is a plain text format, they can be version-controlled and shared with colleagues. .. _JSON: http://en.wikipedia.org/wiki/JSON Notebooks may be exported to a range of static formats, including HTML (for example, for blog posts), reStructeredText, LaTeX, PDF, and slide shows, via the new :ref:`nbconvert ` command. Furthermore, any ``.ipynb`` notebook document available from a public URL can be shared via the `IPython Notebook Viewer `_ (nbviewer_). This service loads the notebook document from the URL and renders it as a static web page. The results may thus be shared with a colleague, or as a public blog post, without other users needing to install IPython themselves. In effect, nbviewer_ is simply :ref:`nbconvert ` as a web service, so you can do your own static conversions with nbconvert, without relying on nbviewer. .. seealso:: :ref:`Details on the notebook JSON file format ` Starting the notebook server ---------------------------- You can start running a notebook server from the command line using the following command:: ipython notebook This will print some information about the notebook server in your console, and open a web browser to the URL of the web application (by default, ``http://127.0.0.1:8888``). The landing page of the IPython notebook web application, the **dashboard**, shows the notebooks currently available in the notebook directory (by default, the directory from which the notebook server was started). You can create new notebooks from the dashboard with the ``New Notebook`` button, or open existing ones by clicking on their name. You can also drag and drop ``.ipynb`` notebooks and standard ``.py`` Python source code files into the notebook list area. When starting a notebook server from the command line, you can also open a particular notebook directly, bypassing the dashboard, with ``ipython notebook my_notebook.ipynb``. The ``.ipynb`` extension is assumed if no extension is given. When you are inside an open notebook, the `File | Open...` menu option will open the dashboard in a new browser tab, to allow you to open another notebook from the notebook directory or to create a new notebook. .. note:: You can start more than one notebook server at the same time, if you want to work on notebooks in different directories. By default the first notebook server starts on port 8888, and later notebook servers search for ports near that one. You can also manually specify the port with the ``--port`` option. Creating a new notebook document ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ A new notebook may be created at any time, either from the dashboard, or using the `File | New` menu option from within an active notebook. The new notebook is created within the same directory and will open in a new browser tab. It will also be reflected as a new entry in the notebook list on the dashboard. Opening notebooks ~~~~~~~~~~~~~~~~~ An open notebook has **exactly one** interactive session connected to an :ref:`IPython kernel `, which will execute code sent by the user and communicate back results. This kernel remains active if the web browser window is closed, and reopening the same notebook from the dashboard will reconnect the web application to the same kernel. In the dashboard, notebooks with an active kernel have a ``Shutdown`` button next to them, whereas notebooks without an active kernel have a ``Delete`` button in its place. Other clients may connect to the same underlying IPython kernel. The notebook server always prints to the terminal the full details of how to connect to each kernel, with messages such as the following:: [NotebookApp] Kernel started: 87f7d2c0-13e3-43df-8bb8-1bd37aaf3373 This long string is the kernel's ID which is sufficient for getting the information necessary to connect to the kernel. You can also request this connection data by running the ``%connect_info`` :ref:`magic `. This will print the same ID information as well as the content of the JSON data structure it contains. You can then, for example, manually start a Qt console connected to the *same* kernel from the command line, by passing a portion of the ID:: $ ipython qtconsole --existing 87f7d2c0 Without an ID, ``--existing`` will connect to the most recently started kernel. This can also be done by running the ``%qtconsole`` :ref:`magic ` in the notebook. .. seealso:: :ref:`ipythonzmq` Notebook user interface ----------------------- When you create a new notebook document, you will be presented with the **notebook name**, a **menu bar**, a **toolbar** and an empty **code cell**. **notebook name**: The name of the notebook document is displayed at the top of the page, next to the ``IP[y]: Notebook`` logo. This name reflects the name of the ``.ipynb`` notebook document file. Clicking on the notebook name brings up a dialog which allows you to rename it. Thus, renaming a notebook from "Untitled0" to "My first notebook" in the browser, renames the ``Untitled0.ipynb`` file to ``My first notebook.ipynb``. **menu bar**: The menu bar presents different options that may be used to manipulate the way the notebook functions. **toolbar**: The tool bar gives a quick way of performing the most-used operations within the notebook, by clicking on an icon. **code cell**: the default type of cell, read on for an explanation of cells Structure of a notebook document -------------------------------- The notebook consists of a sequence of cells. A cell is a multi-line text input field, and its contents can be executed by using :kbd:`Shift-Enter`, or by clicking either the "Play" button the toolbar, or `Cell | Run` in the menu bar. The execution behavior of a cell is determined the cell's type. There are four types of cells: **code cells**, **markdown cells**, **raw cells** and **heading cells**. Every cell starts off being a **code cell**, but its type can be changed by using a dropdown on the toolbar (which will be "Code", initially), or via :ref:`keyboard shortcuts `. For more information on the different things you can do in a notebook, see the `collection of examples `_. Code cells ~~~~~~~~~~ A *code cell* allows you to edit and write new code, with full syntax highlighting and tab completion. By default, the language associated to a code cell is Python, but other languages, such as ``Julia`` and ``R``, can be handled using :ref:`cell magic commands `. When a code cell is executed, code that it contains is sent to the kernel associated with the notebook. The results that are returned from this computation are then displayed in the notebook as the cell's *output*. The output is not limited to text, with many other possible forms of output are also possible, including ``matplotlib`` figures and HTML tables (as used, for example, in the ``pandas`` data analysis package). This is known as IPython's *rich display* capability. .. seealso:: `Basic Output`_ example notebook `Rich Display System`_ example notebook Markdown cells ~~~~~~~~~~~~~~ You can document the computational process in a literate way, alternating descriptive text with code, using *rich text*. In IPython this is accomplished by marking up text with the Markdown language. The corresponding cells are called *Markdown cells*. The Markdown language provides a simple way to perform this text markup, that is, to specify which parts of the text should be emphasized (italics), bold, form lists, etc. When a Markdown cell is executed, the Markdown code is converted into the corresponding formatted rich text. Markdown allows arbitrary HTML code for formatting. Within Markdown cells, you can also include *mathematics* in a straightforward way, using standard LaTeX notation: ``$...$`` for inline mathematics and ``$$...$$`` for displayed mathematics. When the Markdown cell is executed, the LaTeX portions are automatically rendered in the HTML output as equations with high quality typography. This is made possible by MathJax_, which supports a `large subset `_ of LaTeX functionality .. _mathjax_tex: http://docs.mathjax.org/en/latest/tex.html Standard mathematics environments defined by LaTeX and AMS-LaTeX (the `amsmath` package) also work, such as ``\begin{equation}...\end{equation}``, and ``\begin{align}...\end{align}``. New LaTeX macros may be defined using standard methods, such as ``\newcommand``, by placing them anywhere *between math delimiters* in a Markdown cell. These definitions are then available throughout the rest of the IPython session. .. seealso:: `Markdown Cells`_ example notebook Raw cells ~~~~~~~~~ *Raw* cells provide a place in which you can write *output* directly. Raw cells are not evaluated by the notebook. When passed through :ref:`nbconvert `, raw cells arrive in the destination format unmodified. For example, this allows you to type full LaTeX into a raw cell, which will only be rendered by LaTeX after conversion by nbconvert. Heading cells ~~~~~~~~~~~~~ You can provide a conceptual structure for your computational document as a whole using different levels of headings; there are 6 levels available, from level 1 (top level) down to level 6 (paragraph). These can be used later for constructing tables of contents, etc. As with Markdown cells, a heading cell is replaced by a rich text rendering of the heading when the cell is executed. Basic workflow -------------- The normal workflow in a notebook is, then, quite similar to a standard IPython session, with the difference that you can edit cells in-place multiple times until you obtain the desired results, rather than having to rerun separate scripts with the ``%run`` magic command. Typically, you will work on a computational problem in pieces, organizing related ideas into cells and moving forward once previous parts work correctly. This is much more convenient for interactive exploration than breaking up a computation into scripts that must be executed together, as was previously necessary, especially if parts of them take a long time to run. At certain moments, it may be necessary to interrupt a calculation which is taking too long to complete. This may be done with the `Kernel | Interrupt` menu option, or the :kbd:`Ctrl-m i` keyboard shortcut. Similarly, it may be necessary or desirable to restart the whole computational process, with the `Kernel | Restart` menu option or :kbd:`Ctrl-m .` shortcut. A notebook may be downloaded in either a ``.ipynb`` or ``.py`` file from the menu option `File | Download as`. Choosing the ``.py`` option downloads a Python ``.py`` script, in which all rich output has been removed and the content of markdown cells have been inserted as comments. .. seealso:: `Running Code in the IPython Notebook`_ example notebook `Basic Output`_ example notebook :ref:`a warning about doing "roundtrip" conversions `. .. _keyboard-shortcuts: Keyboard shortcuts ~~~~~~~~~~~~~~~~~~ All actions in the notebook can be performed with the mouse, but keyboard shortcuts are also available for the most common ones. The essential shortcuts to remember are the following: * :kbd:`Shift-Enter`: run cell Execute the current cell, show output (if any), and jump to the next cell below. If :kbd:`Shift-Enter` is invoked on the last cell, a new code cell will also be created. Note that in the notebook, typing :kbd:`Enter` on its own *never* forces execution, but rather just inserts a new line in the current cell. :kbd:`Shift-Enter` is equivalent to clicking the ``Cell | Run`` menu item. * :kbd:`Ctrl-Enter`: run cell in-place Execute the current cell as if it were in "terminal mode", where any output is shown, but the cursor *remains* in the current cell. The cell's entire contents are selected after execution, so you can just start typing and only the new input will be in the cell. This is convenient for doing quick experiments in place, or for querying things like filesystem content, without needing to create additional cells that you may not want to be saved in the notebook. * :kbd:`Alt-Enter`: run cell, insert below Executes the current cell, shows the output, and inserts a *new* cell between the current cell and the cell below (if one exists). This is thus a shortcut for the sequence :kbd:`Shift-Enter`, :kbd:`Ctrl-m a`. (:kbd:`Ctrl-m a` adds a new cell above the current one.) * :kbd:`Esc` and :kbd:`Enter`: Command mode and edit mode In command mode, you can easily navigate around the notebook using keyboard shortcuts. In edit mode, you can edit text in cells. For the full list of available shortcuts, click :guilabel:`Help`, :guilabel:`Keyboard Shortcuts` in the notebook menus. Plotting -------- One major feature of the notebook is the ability to display plots that are the output of running code cells. IPython is designed to work seamlessly with the matplotlib_ plotting library to provide this functionality. To set this up, before any plotting is performed you must execute the ``%matplotlib`` :ref:`magic command `. This performs the necessary behind-the-scenes setup for IPython to work correctly hand in hand with ``matplotlib``; it does *not*, however, actually execute any Python ``import`` commands, that is, no names are added to the namespace. If the ``%matplotlib`` magic is called without an argument, the output of a plotting command is displayed using the default ``matplotlib`` backend in a separate window. Alternatively, the backend can be explicitly requested using, for example:: %matplotlib gtk A particularly interesting backend, provided by IPython, is the ``inline`` backend. This is available only for the IPython Notebook and the :ref:`IPython QtConsole `. It can be invoked as follows:: %matplotlib inline With this backend, the output of plotting commands is displayed *inline* within the notebook, directly below the code cell that produced it. The resulting plots will then also be stored in the notebook document. .. seealso:: `Plotting with Matplotlib`_ example notebook Configuring the IPython Notebook -------------------------------- The notebook server can be run with a variety of command line arguments. To see a list of available options enter:: $ ipython notebook --help Defaults for these options can also be set by creating a file named ``ipython_notebook_config.py`` in your IPython *profile folder*. The profile folder is a subfolder of your IPython directory; to find out where it is located, run:: $ ipython locate To create a new set of default configuration files, with lots of information on available options, use:: $ ipython profile create .. seealso:: :ref:`config_overview`, in particular :ref:`Profiles`. :ref:`notebook_server_security` :ref:`notebook_public_server` .. _signing_notebooks: Signing Notebooks ----------------- To prevent untrusted code from executing on users' behalf when notebooks open, we have added a signature to the notebook, stored in metadata. The notebook server verifies this signature when a notebook is opened. If the signature stored in the notebook metadata does not match, javascript and HTML output will not be displayed on load, and must be regenerated by re-executing the cells. Any notebook that you have executed yourself *in its entirety* will be considered trusted, and its HTML and javascript output will be displayed on load. If you need to see HTML or Javascript output without re-executing, you can explicitly trust notebooks, such as those shared with you, or those that you have written yourself prior to IPython 2.0, at the command-line with:: $ ipython trust mynotebook.ipynb [other notebooks.ipynb] This just generates a new signature stored in each notebook. You can generate a new notebook signing key with:: $ ipython trust --reset Importing ``.py`` files ----------------------- ``.py`` files will be imported as a notebook with the same basename, but an ``.ipynb`` extension, located in the notebook directory. The notebook created will have just one cell, which will contain all the code in the ``.py`` file. You can later manually partition this into individual cells using the ``Edit | Split Cell`` menu option, or the :kbd:`Ctrl-m -` keyboard shortcut. Note that ``.py`` scripts obtained from a notebook document using :doc:`nbconvert ` maintain the structure of the notebook in comments. Reimporting such a script back into a notebook will preserve this structure. .. _note_about_roundtrip: .. warning:: While in simple cases you can "roundtrip" a notebook to Python, edit the Python file, and then import it back without loss of main content, this is in general *not guaranteed to work*. First, there is extra metadata saved in the notebook that may not be saved to the ``.py`` format. And as the notebook format evolves in complexity, there will be attributes of the notebook that will not survive a roundtrip through the Python form. You should think of the Python format as a way to output a script version of a notebook and the import capabilities as a way to load existing code to get a notebook started. But the Python version is *not* an alternate notebook format. .. seealso:: :ref:`notebook_format` .. include:: ../links.txt ipython-2.4.1/docs/source/notebook/public_server.rst0000644000076500000000000001407212466235755023137 0ustar minrkwheel00000000000000.. _working_remotely: Running a notebook server ========================= The :ref:`IPython notebook ` web-application is based on a server-client structure. This server uses a :ref:`two-process kernel architecture ` based on ZeroMQ_, as well as Tornado_ for serving HTTP requests. By default, a notebook server runs on http://127.0.0.1:8888/ and is accessible only from `localhost`. This document describes how you can :ref:`secure a notebook server ` and how to :ref:`run it on a public interface `. .. _ZeroMQ: http://zeromq.org .. _Tornado: http://www.tornadoweb.org .. _notebook_server_security: Securing a notebook server -------------------------- You can protect your notebook server with a simple single password by setting the :attr:`NotebookApp.password` configurable. You can prepare a hashed password using the function :func:`IPython.lib.security.passwd`: .. sourcecode:: ipython In [1]: from IPython.lib import passwd In [2]: passwd() Enter password: Verify password: Out[2]: 'sha1:67c9e60bb8b6:9ffede0825894254b2e042ea597d771089e11aed' .. note:: :func:`~IPython.lib.security.passwd` can also take the password as a string argument. **Do not** pass it as an argument inside an IPython session, as it will be saved in your input history. You can then add this to your :file:`ipython_notebook_config.py`, e.g.:: # Password to use for web authentication c = get_config() c.NotebookApp.password = u'sha1:67c9e60bb8b6:9ffede0825894254b2e042ea597d771089e11aed' When using a password, it is a good idea to also use SSL, so that your password is not sent unencrypted by your browser. You can start the notebook to communicate via a secure protocol mode using a self-signed certificate with the command:: $ ipython notebook --certfile=mycert.pem .. note:: A self-signed certificate can be generated with ``openssl``. For example, the following command will create a certificate valid for 365 days with both the key and certificate data written to the same file:: $ openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.pem -out mycert.pem Your browser will warn you of a dangerous certificate because it is self-signed. If you want to have a fully compliant certificate that will not raise warnings, it is possible (but rather involved) to obtain one, as explained in detail in `this tutorial`__. .. __: http://arstechnica.com/security/news/2009/12/how-to-get-set-with-a-secure-sertificate-for-free.ars Keep in mind that when you enable SSL support, you will need to access the notebook server over ``https://``, not over plain ``http://``. The startup message from the server prints this, but it is easy to overlook and think the server is for some reason non-responsive. .. _notebook_public_server: Running a public notebook server -------------------------------- If you want to access your notebook server remotely via a web browser, you can do the following. Start by creating a certificate file and a hashed password, as explained above. Then create a custom profile for the notebook, with the following command line, type:: $ ipython profile create nbserver In the profile directory just created, edit the file ``ipython_notebook_config.py``. By default, the file has all fields commented; the minimum set you need to uncomment and edit is the following:: c = get_config() # Kernel config c.IPKernelApp.pylab = 'inline' # if you want plotting support always # Notebook config c.NotebookApp.certfile = u'/absolute/path/to/your/certificate/mycert.pem' c.NotebookApp.ip = '*' c.NotebookApp.open_browser = False c.NotebookApp.password = u'sha1:bcd259ccf...[your hashed password here]' # It is a good idea to put it on a known, fixed port c.NotebookApp.port = 9999 You can then start the notebook and access it later by pointing your browser to ``https://your.host.com:9999`` with ``ipython notebook --profile=nbserver``. Running with a different URL prefix ----------------------------------- The notebook dashboard (the landing page with an overview of the notebooks in your working directory) typically lives at the URL ``http://localhost:8888/``. If you prefer that it lives, together with the rest of the notebook, under a sub-directory, e.g. ``http://localhost:8888/ipython/``, you can do so with configuration options like the following (see above for instructions about modifying ``ipython_notebook_config.py``):: c.NotebookApp.base_url = '/ipython/' c.NotebookApp.webapp_settings = {'static_url_prefix':'/ipython/static/'} Using a different notebook store -------------------------------- By default, the notebook server stores the notebook documents that it saves as files in the working directory of the notebook server, also known as the ``notebook_dir``. This logic is implemented in the :class:`FileNotebookManager` class. However, the server can be configured to use a different notebook manager class, which can store the notebooks in a different format. The bookstore_ package currently allows users to store notebooks on Rackspace CloudFiles or OpenStack Swift based object stores. Writing a notebook manager is as simple as extending the base class :class:`NotebookManager`. The simple_notebook_manager_ provides a great example of an in memory notebook manager, created solely for the purpose of illustrating the notebook manager API. .. _bookstore: https://github.com/rgbkrk/bookstore .. _simple_notebook_manager: https://github.com/khinsen/simple_notebook_manager Known issues ------------ When behind a proxy, especially if your system or browser is set to autodetect the proxy, the notebook web application might fail to connect to the server's websockets, and present you with a warning at startup. In this case, you need to configure your system not to use the proxy for the server's address. For example, in Firefox, go to the Preferences panel, Advanced section, Network tab, click 'Settings...', and add the address of the notebook server to the 'No proxy for' field. ipython-2.4.1/docs/source/notebook/security.rst0000644000076500000000000001300712466235755022137 0ustar minrkwheel00000000000000.. _notebook_security: Security in IPython notebooks ============================= As IPython notebooks become more popular for sharing and collaboration, the potential for malicious people to attempt to exploit the notebook for their nefarious purposes increases. IPython 2.0 introduces a security model to prevent execution of untrusted code without explicit user input. The problem ----------- The whole point of IPython is arbitrary code execution. We have no desire to limit what can be done with a notebook, which would negatively impact its utility. Unlike other programs, an IPython notebook document includes output. Unlike other documents, that output exists in a context that can execute code (via Javascript). The security problem we need to solve is that no code should execute just because a user has **opened** a notebook that **they did not write**. Like any other program, once a user decides to execute code in a notebook, it is considered trusted, and should be allowed to do anything. Our security model ------------------ - Untrusted HTML is always sanitized - Untrusted Javascript is never executed - HTML and Javascript in Markdown cells are never trusted - **Outputs** generated by the user are trusted - Any other HTML or Javascript (in Markdown cells, output generated by others) is never trusted - The central question of trust is "Did the current user do this?" The details of trust -------------------- IPython notebooks store a signature in metadata, which is used to answer the question "Did the current user do this?" This signature is a digest of the notebooks contents plus a secret key, known only to the user. The secret key is a user-only readable file in the IPython profile's security directory. By default, this is:: ~/.ipython/profile_default/security/notebook_secret When a notebook is opened by a user, the server computes a signature with the user's key, and compares it with the signature stored in the notebook's metadata. If the signature matches, HTML and Javascript output in the notebook will be trusted at load, otherwise it will be untrusted. Any output generated during an interactive session is trusted. Updating trust ************** A notebook's trust is updated when the notebook is saved. If there are any untrusted outputs still in the notebook, the notebook will not be trusted, and no signature will be stored. If all untrusted outputs have been removed (either via ``Clear Output`` or re-execution), then the notebook will become trusted. While trust is updated per output, this is only for the duration of a single session. A notebook file on disk is either trusted or not in its entirety. Explicit trust ************** Sometimes re-executing a notebook to generate trusted output is not an option, either because dependencies are unavailable, or it would take a long time. Users can explicitly trust a notebook in two ways: - At the command-line, with:: ipython trust /path/to/notebook.ipynb - After loading the untrusted notebook, with ``File / Trust Notebook`` These two methods simply load the notebook, compute a new signature with the user's key, and then store the newly signed notebook. Reporting security issues ------------------------- If you find a security vulnerability in IPython, either a failure of the code to properly implement the model described here, or a failure of the model itself, please report it to security@ipython.org. If you prefer to encrypt your security reports, you can use :download:`this PGP public key `. Affected use cases ------------------ Some use cases that work in IPython 1.0 will become less convenient in 2.0 as a result of the security changes. We do our best to minimize these annoyance, but security is always at odds with convenience. Javascript and CSS in Markdown cells ************************************ While never officially supported, it had become common practice to put hidden Javascript or CSS styling in Markdown cells, so that they would not be visible on the page. Since Markdown cells are now sanitized (by `Google Caja `__), all Javascript (including click event handlers, etc.) and CSS will be stripped. We plan to provide a mechanism for notebook themes, but in the meantime styling the notebook can only be done via either ``custom.css`` or CSS in HTML output. The latter only have an effect if the notebook is trusted, because otherwise the output will be sanitized just like Markdown. Collaboration ************* When collaborating on a notebook, people probably want to see the outputs produced by their colleagues' most recent executions. Since each collaborator's key will differ, this will result in each share starting in an untrusted state. There are three basic approaches to this: - re-run notebooks when you get them (not always viable) - explicitly trust notebooks via ``ipython trust`` or the notebook menu (annoying, but easy) - share a notebook secret, and use an IPython profile dedicated to the collaboration while working on the project. Multiple profiles or machines ***************************** Since the notebook secret is stored in a profile directory by default, opening a notebook with a different profile or on a different machine will result in a different key, and thus be untrusted. The only current way to address this is by sharing the notebook secret. This can be facilitated by setting the configurable: .. sourcecode:: python c.NotebookApp.secret_file = "/path/to/notebook_secret" in each profile, and only sharing the secret once per machine. ipython-2.4.1/docs/source/overview.rst0000644000076500000000000003102112466235755020312 0ustar minrkwheel00000000000000.. _overview: ============ Introduction ============ Overview ======== One of Python's most useful features is its interactive interpreter. It allows for very fast testing of ideas without the overhead of creating test files as is typical in most programming languages. However, the interpreter supplied with the standard Python distribution is somewhat limited for extended interactive use. The goal of IPython is to create a comprehensive environment for interactive and exploratory computing. To support this goal, IPython has three main components: * An enhanced interactive Python shell. * A decoupled :ref:`two-process communication model `, which allows for multiple clients to connect to a computation kernel, most notably the web-based :ref:`notebook ` * An architecture for interactive parallel computing. All of IPython is open source (released under the revised BSD license). Enhanced interactive Python shell ================================= IPython's interactive shell (:command:`ipython`), has the following goals, amongst others: 1. Provide an interactive shell superior to Python's default. IPython has many features for tab-completion, object introspection, system shell access, command history retrieval across sessions, and its own special command system for adding functionality when working interactively. It tries to be a very efficient environment both for Python code development and for exploration of problems using Python objects (in situations like data analysis). 2. Serve as an embeddable, ready to use interpreter for your own programs. An interactive IPython shell can be started with a single call from inside another program, providing access to the current namespace. This can be very useful both for debugging purposes and for situations where a blend of batch-processing and interactive exploration are needed. 3. Offer a flexible framework which can be used as the base environment for working with other systems, with Python as the underlying bridge language. Specifically scientific environments like Mathematica, IDL and Matlab inspired its design, but similar ideas can be useful in many fields. 4. Allow interactive testing of threaded graphical toolkits. IPython has support for interactive, non-blocking control of GTK, Qt, WX, GLUT, and OS X applications via special threading flags. The normal Python shell can only do this for Tkinter applications. Main features of the interactive shell -------------------------------------- * Dynamic object introspection. One can access docstrings, function definition prototypes, source code, source files and other details of any object accessible to the interpreter with a single keystroke (:samp:`?`, and using :samp:`??` provides additional detail). * Searching through modules and namespaces with :samp:`*` wildcards, both when using the :samp:`?` system and via the :samp:`%psearch` command. * Completion in the local namespace, by typing :kbd:`TAB` at the prompt. This works for keywords, modules, methods, variables and files in the current directory. This is supported via the readline library, and full access to configuring readline's behavior is provided. Custom completers can be implemented easily for different purposes (system commands, magic arguments etc.) * Numbered input/output prompts with command history (persistent across sessions and tied to each profile), full searching in this history and caching of all input and output. * User-extensible 'magic' commands. A set of commands prefixed with :samp:`%` is available for controlling IPython itself and provides directory control, namespace information and many aliases to common system shell commands. * Alias facility for defining your own system aliases. * Complete system shell access. Lines starting with :samp:`!` are passed directly to the system shell, and using :samp:`!!` or :samp:`var = !cmd` captures shell output into python variables for further use. * The ability to expand python variables when calling the system shell. In a shell command, any python variable prefixed with :samp:`$` is expanded. A double :samp:`$$` allows passing a literal :samp:`$` to the shell (for access to shell and environment variables like :envvar:`PATH`). * Filesystem navigation, via a magic :samp:`%cd` command, along with a persistent bookmark system (using :samp:`%bookmark`) for fast access to frequently visited directories. * A lightweight persistence framework via the :samp:`%store` command, which allows you to save arbitrary Python variables. These get restored when you run the :samp:`%store -r` command. * Automatic indentation (optional) of code as you type (through the readline library). * Macro system for quickly re-executing multiple lines of previous input with a single name via the :samp:`%macro` command. Macros can be stored persistently via :samp:`%store` and edited via :samp:`%edit`. * Session logging (you can then later use these logs as code in your programs). Logs can optionally timestamp all input, and also store session output (marked as comments, so the log remains valid Python source code). * Session restoring: logs can be replayed to restore a previous session to the state where you left it. * Verbose and colored exception traceback printouts. Easier to parse visually, and in verbose mode they produce a lot of useful debugging information (basically a terminal version of the cgitb module). * Auto-parentheses via the :samp:`%autocall` command: callable objects can be executed without parentheses: :samp:`sin 3` is automatically converted to :samp:`sin(3)` * Auto-quoting: using :samp:`,`, or :samp:`;` as the first character forces auto-quoting of the rest of the line: :samp:`,my_function a b` becomes automatically :samp:`my_function("a","b")`, while :samp:`;my_function a b` becomes :samp:`my_function("a b")`. * Extensible input syntax. You can define filters that pre-process user input to simplify input in special situations. This allows for example pasting multi-line code fragments which start with :samp:`>>>` or :samp:`...` such as those from other python sessions or the standard Python documentation. * Flexible :ref:`configuration system `. It uses a configuration file which allows permanent setting of all command-line options, module loading, code and file execution. The system allows recursive file inclusion, so you can have a base file with defaults and layers which load other customizations for particular projects. * Embeddable. You can call IPython as a python shell inside your own python programs. This can be used both for debugging code or for providing interactive abilities to your programs with knowledge about the local namespaces (very useful in debugging and data analysis situations). * Easy debugger access. You can set IPython to call up an enhanced version of the Python debugger (pdb) every time there is an uncaught exception. This drops you inside the code which triggered the exception with all the data live and it is possible to navigate the stack to rapidly isolate the source of a bug. The :samp:`%run` magic command (with the :samp:`-d` option) can run any script under pdb's control, automatically setting initial breakpoints for you. This version of pdb has IPython-specific improvements, including tab-completion and traceback coloring support. For even easier debugger access, try :samp:`%debug` after seeing an exception. * Profiler support. You can run single statements (similar to :samp:`profile.run()`) or complete programs under the profiler's control. While this is possible with standard cProfile or profile modules, IPython wraps this functionality with magic commands (see :samp:`%prun` and :samp:`%run -p`) convenient for rapid interactive work. * Simple timing information. You can use the :samp:`%timeit` command to get the execution time of a Python statement or expression. This machinery is intelligent enough to do more repetitions for commands that finish very quickly in order to get a better estimate of their running time. .. sourcecode:: ipython In [1]: %timeit 1+1 10000000 loops, best of 3: 25.5 ns per loop In [2]: %timeit [math.sin(x) for x in range(5000)] 1000 loops, best of 3: 719 µs per loop .. To get the timing information for more than one expression, use the :samp:`%%timeit` cell magic command. * Doctest support. The special :samp:`%doctest_mode` command toggles a mode to use doctest-compatible prompts, so you can use IPython sessions as doctest code. By default, IPython also allows you to paste existing doctests, and strips out the leading :samp:`>>>` and :samp:`...` prompts in them. .. _ipythonzmq: Decoupled two-process model ============================== IPython has abstracted and extended the notion of a traditional *Read-Evaluate-Print Loop* (REPL) environment by decoupling the *evaluation* into its own process. We call this process a **kernel**: it receives execution instructions from clients and communicates the results back to them. This decoupling allows us to have several clients connected to the same kernel, and even allows clients and kernels to live on different machines. With the exclusion of the traditional single process terminal-based IPython (what you start if you run ``ipython`` without any subcommands), all other IPython machinery uses this two-process model. This includes ``ipython console``, ``ipython qtconsole``, and ``ipython notebook``. As an example, this means that when you start ``ipython qtconsole``, you're really starting two processes, a kernel and a Qt-based client can send commands to and receive results from that kernel. If there is already a kernel running that you want to connect to, you can pass the ``--existing`` flag which will skip initiating a new kernel and connect to the most recent kernel, instead. To connect to a specific kernel once you have several kernels running, use the ``%connect_info`` magic to get the unique connection file, which will be something like ``--existing kernel-19732.json`` but with different numbers which correspond to the Process ID of the kernel. You can read more about using :ref:`ipython qtconsole `, and :ref:`ipython notebook `. There is also a :ref:`message spec ` which documents the protocol for communication between kernels and clients. .. seealso:: `Frontend/Kernel Model`_ example notebook Interactive parallel computing ============================== Increasingly, parallel computer hardware, such as multicore CPUs, clusters and supercomputers, is becoming ubiquitous. Over the last several years, we have developed an architecture within IPython that allows such hardware to be used quickly and easily from Python. Moreover, this architecture is designed to support interactive and collaborative parallel computing. The main features of this system are: * Quickly parallelize Python code from an interactive Python/IPython session. * A flexible and dynamic process model that be deployed on anything from multicore workstations to supercomputers. * An architecture that supports many different styles of parallelism, from message passing to task farming. And all of these styles can be handled interactively. * Both blocking and fully asynchronous interfaces. * High level APIs that enable many things to be parallelized in a few lines of code. * Write parallel code that will run unchanged on everything from multicore workstations to supercomputers. * Full integration with Message Passing libraries (MPI). * Capabilities based security model with full encryption of network connections. * Share live parallel jobs with other users securely. We call this collaborative parallel computing. * Dynamically load balanced task farming system. * Robust error handling. Python exceptions raised in parallel execution are gathered and presented to the top-level code. For more information, see our :ref:`overview ` of using IPython for parallel computing. Portability and Python requirements ----------------------------------- As of the 2.0 release, IPython works with Python 2.7 and 3.3 or above. Version 1.0 additionally worked with Python 2.6 and 3.2. Version 0.12 was the first version to fully support Python 3. IPython is known to work on the following operating systems: * Linux * Most other Unix-like OSs (AIX, Solaris, BSD, etc.) * Mac OS X * Windows (CygWin, XP, Vista, etc.) See :ref:`here ` for instructions on how to install IPython. .. include:: links.txt ipython-2.4.1/docs/source/parallel/0000755000076500000000000000000012466236022017475 5ustar minrkwheel00000000000000ipython-2.4.1/docs/source/parallel/asyncresult.rst0000644000076500000000000001214512466235755022622 0ustar minrkwheel00000000000000.. _parallel_asyncresult: ====================== The AsyncResult object ====================== In non-blocking mode, :meth:`apply` submits the command to be executed and then returns a :class:`~.AsyncResult` object immediately. The AsyncResult object gives you a way of getting a result at a later time through its :meth:`get` method, but it also collects metadata on execution. Beyond multiprocessing's AsyncResult ==================================== .. Note:: The :class:`~.AsyncResult` object provides a superset of the interface in :py:class:`multiprocessing.pool.AsyncResult`. See the `official Python documentation `_ for more on the basics of this interface. Our AsyncResult objects add a number of convenient features for working with parallel results, beyond what is provided by the original AsyncResult. get_dict -------- First, is :meth:`.AsyncResult.get_dict`, which pulls results as a dictionary keyed by engine_id, rather than a flat list. This is useful for quickly coordinating or distributing information about all of the engines. As an example, here is a quick call that gives every engine a dict showing the PID of every other engine: .. sourcecode:: ipython In [10]: ar = rc[:].apply_async(os.getpid) In [11]: pids = ar.get_dict() In [12]: rc[:]['pid_map'] = pids This trick is particularly useful when setting up inter-engine communication, as in IPython's :file:`examples/parallel/interengine` examples. Metadata ======== IPython.parallel tracks some metadata about the tasks, which is stored in the :attr:`.Client.metadata` dict. The AsyncResult object gives you an interface for this information as well, including timestamps stdout/err, and engine IDs. Timing ------ IPython tracks various timestamps as :py:class:`.datetime` objects, and the AsyncResult object has a few properties that turn these into useful times (in seconds as floats). For use while the tasks are still pending: * :attr:`ar.elapsed` is just the elapsed seconds since submission, for use before the AsyncResult is complete. * :attr:`ar.progress` is the number of tasks that have completed. Fractional progress would be:: 1.0 * ar.progress / len(ar) * :meth:`AsyncResult.wait_interactive` will wait for the result to finish, but print out status updates on progress and elapsed time while it waits. For use after the tasks are done: * :attr:`ar.serial_time` is the sum of the computation time of all of the tasks done in parallel. * :attr:`ar.wall_time` is the time between the first task submitted and last result received. This is the actual cost of computation, including IPython overhead. .. note:: wall_time is only precise if the Client is waiting for results when the task finished, because the `received` timestamp is made when the result is unpacked by the Client, triggered by the :meth:`~Client.spin` call. If you are doing work in the Client, and not waiting/spinning, then `received` might be artificially high. An often interesting metric is the time it actually cost to do the work in parallel relative to the serial computation, and this can be given simply with .. sourcecode:: python speedup = ar.serial_time / ar.wall_time Map results are iterable! ========================= When an AsyncResult object has multiple results (e.g. the :class:`~AsyncMapResult` object), you can actually iterate through results themselves, and act on them as they arrive: .. literalinclude:: ../../../examples/Parallel Computing/itermapresult.py :language: python :lines: 20-67 That is to say, if you treat an AsyncMapResult as if it were a list of your actual results, it should behave as you would expect, with the only difference being that you can start iterating through the results before they have even been computed. This lets you do a dumb version of map/reduce with the builtin Python functions, and the only difference between doing this locally and doing it remotely in parallel is using the asynchronous view.map instead of the builtin map. Here is a simple one-line RMS (root-mean-square) implemented with Python's builtin map/reduce. .. sourcecode:: ipython In [38]: X = np.linspace(0,100) In [39]: from math import sqrt In [40]: add = lambda a,b: a+b In [41]: sq = lambda x: x*x In [42]: sqrt(reduce(add, map(sq, X)) / len(X)) Out[42]: 58.028845747399714 In [43]: sqrt(reduce(add, view.map(sq, X)) / len(X)) Out[43]: 58.028845747399714 To break that down: 1. ``map(sq, X)`` Compute the square of each element in the list (locally, or in parallel) 2. ``reduce(add, sqX) / len(X)`` compute the mean by summing over the list (or AsyncMapResult) and dividing by the size 3. take the square root of the resulting number .. seealso:: When AsyncResult or the AsyncMapResult don't provide what you need (for instance, handling individual results as they arrive, but with metadata), you can always just split the original result's ``msg_ids`` attribute, and handle them as you like. For an example of this, see :file:`examples/parallel/customresult.py` ipython-2.4.1/docs/source/parallel/dag_dependencies.rst0000644000076500000000000001413512466235755023510 0ustar minrkwheel00000000000000.. _dag_dependencies: ================ DAG Dependencies ================ Often, parallel workflow is described in terms of a `Directed Acyclic Graph `_ or DAG. A popular library for working with Graphs is NetworkX_. Here, we will walk through a demo mapping a nx DAG to task dependencies. The full script that runs this demo can be found in :file:`examples/parallel/dagdeps.py`. Why are DAGs good for task dependencies? ---------------------------------------- The 'G' in DAG is 'Graph'. A Graph is a collection of **nodes** and **edges** that connect the nodes. For our purposes, each node would be a task, and each edge would be a dependency. The 'D' in DAG stands for 'Directed'. This means that each edge has a direction associated with it. So we can interpret the edge (a,b) as meaning that b depends on a, whereas the edge (b,a) would mean a depends on b. The 'A' is 'Acyclic', meaning that there must not be any closed loops in the graph. This is important for dependencies, because if a loop were closed, then a task could ultimately depend on itself, and never be able to run. If your workflow can be described as a DAG, then it is impossible for your dependencies to cause a deadlock. A Sample DAG ------------ Here, we have a very simple 5-node DAG: .. figure:: figs/simpledag.* :width: 600px With NetworkX, an arrow is just a fattened bit on the edge. Here, we can see that task 0 depends on nothing, and can run immediately. 1 and 2 depend on 0; 3 depends on 1 and 2; and 4 depends only on 1. A possible sequence of events for this workflow: 0. Task 0 can run right away 1. 0 finishes, so 1,2 can start 2. 1 finishes, 3 is still waiting on 2, but 4 can start right away 3. 2 finishes, and 3 can finally start Further, taking failures into account, assuming all dependencies are run with the default `success=True,failure=False`, the following cases would occur for each node's failure: 0. fails: all other tasks fail as Impossible 1. 2 can still succeed, but 3,4 are unreachable 2. 3 becomes unreachable, but 4 is unaffected 3. and 4. are terminal, and can have no effect on other nodes The code to generate the simple DAG: .. sourcecode:: python import networkx as nx G = nx.DiGraph() # add 5 nodes, labeled 0-4: map(G.add_node, range(5)) # 1,2 depend on 0: G.add_edge(0,1) G.add_edge(0,2) # 3 depends on 1,2 G.add_edge(1,3) G.add_edge(2,3) # 4 depends on 1 G.add_edge(1,4) # now draw the graph: pos = { 0 : (0,0), 1 : (1,1), 2 : (-1,1), 3 : (0,2), 4 : (2,2)} nx.draw(G, pos, edge_color='r') For demonstration purposes, we have a function that generates a random DAG with a given number of nodes and edges. .. literalinclude:: ../../../examples/Parallel Computing/dagdeps.py :language: python :lines: 20-36 So first, we start with a graph of 32 nodes, with 128 edges: .. sourcecode:: ipython In [2]: G = random_dag(32,128) Now, we need to build our dict of jobs corresponding to the nodes on the graph: .. sourcecode:: ipython In [3]: jobs = {} # in reality, each job would presumably be different # randomwait is just a function that sleeps for a random interval In [4]: for node in G: ...: jobs[node] = randomwait Once we have a dict of jobs matching the nodes on the graph, we can start submitting jobs, and linking up the dependencies. Since we don't know a job's msg_id until it is submitted, which is necessary for building dependencies, it is critical that we don't submit any jobs before other jobs it may depend on. Fortunately, NetworkX provides a :meth:`topological_sort` method which ensures exactly this. It presents an iterable, that guarantees that when you arrive at a node, you have already visited all the nodes it on which it depends: .. sourcecode:: ipython In [5]: rc = Client() In [5]: view = rc.load_balanced_view() In [6]: results = {} In [7]: for node in nx.topological_sort(G): ...: # get list of AsyncResult objects from nodes ...: # leading into this one as dependencies ...: deps = [ results[n] for n in G.predecessors(node) ] ...: # submit and store AsyncResult object ...: with view.temp_flags(after=deps, block=False): ...: results[node] = view.apply_with_flags(jobs[node]) Now that we have submitted all the jobs, we can wait for the results: .. sourcecode:: ipython In [8]: view.wait(results.values()) Now, at least we know that all the jobs ran and did not fail (``r.get()`` would have raised an error if a task failed). But we don't know that the ordering was properly respected. For this, we can use the :attr:`metadata` attribute of each AsyncResult. These objects store a variety of metadata about each task, including various timestamps. We can validate that the dependencies were respected by checking that each task was started after all of its predecessors were completed: .. literalinclude:: ../../../examples/Parallel Computing/dagdeps.py :language: python :lines: 64-70 We can also validate the graph visually. By drawing the graph with each node's x-position as its start time, all arrows must be pointing to the right if dependencies were respected. For spreading, the y-position will be the runtime of the task, so long tasks will be at the top, and quick, small tasks will be at the bottom. .. sourcecode:: ipython In [10]: from matplotlib.dates import date2num In [11]: from matplotlib.cm import gist_rainbow In [12]: pos = {}; colors = {} In [12]: for node in G: ....: md = results[node].metadata ....: start = date2num(md.started) ....: runtime = date2num(md.completed) - start ....: pos[node] = (start, runtime) ....: colors[node] = md.engine_id In [13]: nx.draw(G, pos, node_list=colors.keys(), node_color=colors.values(), ....: cmap=gist_rainbow) .. figure:: figs/dagdeps.* :width: 600px Time started on x, runtime on y, and color-coded by engine-id (in this case there were four engines). 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Targets and Blocking ******************** %%px accepts ``--targets`` for controlling which engines on which to run, and ``--[no]block`` for specifying the blocking behavior of this cell, independent of the defaults for the View. .. sourcecode:: ipython In [6]: %%px --targets ::2 ...: print "I am even" ...: Parallel execution on engine(s): [0, 2] [stdout:0] I am even [stdout:2] I am even In [7]: %%px --targets 1 ...: print "I am number 1" ...: Parallel execution on engine(s): 1 I am number 1 In [8]: %%px ...: print "still 'all' by default" ...: Parallel execution on engine(s): all [stdout:0] still 'all' by default [stdout:1] still 'all' by default [stdout:2] still 'all' by default [stdout:3] still 'all' by default In [9]: %%px --noblock ...: import time ...: time.sleep(1) ...: time.time() ...: Async parallel execution on engine(s): all Out[9]: In [10]: %pxresult Out[0:12]: 1339454561.069116 Out[1:10]: 1339454561.076752 Out[2:12]: 1339454561.072837 Out[3:10]: 1339454561.066665 .. seealso:: :ref:`pxconfig` accepts these same arguments for changing the *default* values of targets/blocking for the active View. Output Display ************** %%px also accepts a ``--group-outputs`` argument, which adjusts how the outputs of multiple engines are presented. .. seealso:: :meth:`.AsyncResult.display_outputs` for the grouping options. .. sourcecode:: ipython In [50]: %%px --block --group-outputs=engine ....: import numpy as np ....: A = np.random.random((2,2)) ....: ev = numpy.linalg.eigvals(A) ....: print ev ....: ev.max() ....: Parallel execution on engine(s): all [stdout:0] [ 0.60640442 0.95919621] Out [0:73]: 0.9591962130899806 [stdout:1] [ 0.38501813 1.29430871] Out [1:73]: 1.2943087091452372 [stdout:2] [-0.85925141 0.9387692 ] Out [2:73]: 0.93876920456230284 [stdout:3] [ 0.37998269 1.24218246] Out [3:73]: 1.2421824618493817 %pxresult --------- If you are using %px in non-blocking mode, you won't get output. You can use %pxresult to display the outputs of the latest command, just as is done when %px is blocking: .. sourcecode:: ipython In [39]: dv.block = False In [40]: %px print 'hi' Async parallel execution on engine(s): all In [41]: %pxresult [stdout:0] hi [stdout:1] hi [stdout:2] hi [stdout:3] hi %pxresult simply calls :meth:`.AsyncResult.display_outputs` on the most recent request. It accepts the same output-grouping arguments as %%px, so you can use it to view a result in different ways. %autopx ------- The %autopx magic switches to a mode where everything you type is executed on the engines until you do %autopx again. .. sourcecode:: ipython In [30]: dv.block=True In [31]: %autopx %autopx enabled In [32]: max_evals = [] In [33]: for i in range(100): ....: a = numpy.random.rand(10,10) ....: a = a+a.transpose() ....: evals = numpy.linalg.eigvals(a) ....: max_evals.append(evals[0].real) ....: In [34]: print "Average max eigenvalue is: %f" % (sum(max_evals)/len(max_evals)) [stdout:0] Average max eigenvalue is: 10.193101 [stdout:1] Average max eigenvalue is: 10.064508 [stdout:2] Average max eigenvalue is: 10.055724 [stdout:3] Average max eigenvalue is: 10.086876 In [35]: %autopx Auto Parallel Disabled .. _pxconfig: %pxconfig --------- The default targets and blocking behavior for the magics are governed by the :attr:`block` and :attr:`targets` attribute of the active View. If you have a handle for the view, you can set these attributes directly, but if you don't, you can change them with the %pxconfig magic: .. sourcecode:: ipython In [3]: %pxconfig --block In [5]: %px print 'hi' Parallel execution on engine(s): all [stdout:0] hi [stdout:1] hi [stdout:2] hi [stdout:3] hi In [6]: %pxconfig --targets ::2 In [7]: %px print 'hi' Parallel execution on engine(s): [0, 2] [stdout:0] hi [stdout:2] hi In [8]: %pxconfig --noblock In [9]: %px print 'are you there?' Async parallel execution on engine(s): [0, 2] Out[9]: In [10]: %pxresult [stdout:0] are you there? [stdout:2] are you there? Multiple Active Views ===================== The parallel magics are associated with a particular :class:`~.DirectView` object. You can change the active view by calling the :meth:`~.DirectView.activate` method on any view. .. sourcecode:: ipython In [11]: even = rc[::2] In [12]: even.activate() In [13]: %px print 'hi' Async parallel execution on engine(s): [0, 2] Out[13]: In [14]: even.block = True In [15]: %px print 'hi' Parallel execution on engine(s): [0, 2] [stdout:0] hi [stdout:2] hi When activating a View, you can also specify a *suffix*, so that a whole different set of magics are associated with that view, without replacing the existing ones. .. sourcecode:: ipython # restore the original DirecView to the base %px magics In [16]: rc.activate() Out[16]: In [17]: even.activate('_even') In [18]: %px print 'hi all' Parallel execution on engine(s): all [stdout:0] hi all [stdout:1] hi all [stdout:2] hi all [stdout:3] hi all In [19]: %px_even print "We aren't odd!" Parallel execution on engine(s): [0, 2] [stdout:0] We aren't odd! [stdout:2] We aren't odd! This suffix is applied to the end of all magics, e.g. %autopx_even, %pxresult_even, etc. For convenience, the :class:`~.Client` has a :meth:`~.Client.activate` method as well, which creates a DirectView with block=True, activates it, and returns the new View. The initial magics registered when you create a client are the result of a call to :meth:`rc.activate` with default args. Engines as Kernels ================== Engines are really the same object as the Kernels used elsewhere in IPython, with the minor exception that engines connect to a controller, while regular kernels bind their sockets, listening for connections from a QtConsole or other frontends. Sometimes for debugging or inspection purposes, you would like a QtConsole connected to an engine for more direct interaction. You can do this by first instructing the Engine to *also* bind its kernel, to listen for connections: .. sourcecode:: ipython In [50]: %px from IPython.parallel import bind_kernel; bind_kernel() Then, if your engines are local, you can start a qtconsole right on the engine(s): .. sourcecode:: ipython In [51]: %px %qtconsole Careful with this one, because if your view is of 16 engines it will start 16 QtConsoles! Or you can view just the connection info, and work out the right way to connect to the engines, depending on where they live and where you are: .. sourcecode:: ipython In [51]: %px %connect_info Parallel execution on engine(s): all [stdout:0] { "stdin_port": 60387, "ip": "127.0.0.1", "hb_port": 50835, "key": "eee2dd69-7dd3-4340-bf3e-7e2e22a62542", "shell_port": 55328, "iopub_port": 58264 } Paste the above JSON into a file, and connect with: $> ipython --existing or, if you are local, you can connect with just: $> ipython --existing kernel-60125.json or even just: $> ipython --existing if this is the most recent IPython session you have started. [stdout:1] { "stdin_port": 61869, ... .. note:: ``%qtconsole`` will call :func:`bind_kernel` on an engine if it hasn't been done already, so you can often skip that first step. ipython-2.4.1/docs/source/parallel/parallel_db.rst0000644000076500000000000001341712466235755022512 0ustar minrkwheel00000000000000.. _parallel_db: ======================= IPython's Task Database ======================= Enabling a DB Backend ===================== The IPython Hub can store all task requests and results in a database. Currently supported backends are: MongoDB, SQLite, and an in-memory DictDB. This database behavior is optional due to its potential :ref:`db_cost`, so you must enable one, either at the command-line:: $> ipcontroller --dictb # or --mongodb or --sqlitedb or in your :file:`ipcontroller_config.py`: .. sourcecode:: python c.HubFactory.db_class = "DictDB" c.HubFactory.db_class = "MongoDB" c.HubFactory.db_class = "SQLiteDB" Using the Task Database ======================= The most common use case for this is clients requesting results for tasks they did not submit, via: .. sourcecode:: ipython In [1]: rc.get_result(task_id) However, since we have this DB backend, we provide a direct query method in the :class:`~.Client` for users who want deeper introspection into their task history. The :meth:`db_query` method of the Client is modeled after MongoDB queries, so if you have used MongoDB it should look familiar. In fact, when the MongoDB backend is in use, the query is relayed directly. When using other backends, the interface is emulated and only a subset of queries is possible. .. seealso:: MongoDB query docs: http://www.mongodb.org/display/DOCS/Querying :meth:`Client.db_query` takes a dictionary query object, with keys from the TaskRecord key list, and values of either exact values to test, or MongoDB queries, which are dicts of The form: ``{'operator' : 'argument(s)'}``. There is also an optional `keys` argument, that specifies which subset of keys should be retrieved. The default is to retrieve all keys excluding the request and result buffers. :meth:`db_query` returns a list of TaskRecord dicts. Also like MongoDB, the `msg_id` key will always be included, whether requested or not. TaskRecord keys: =============== =============== ============= Key Type Description =============== =============== ============= msg_id uuid(ascii) The msg ID header dict The request header content dict The request content (likely empty) buffers list(bytes) buffers containing serialized request objects submitted datetime timestamp for time of submission (set by client) client_uuid uuid(ascii) IDENT of client's socket engine_uuid uuid(ascii) IDENT of engine's socket started datetime time task began execution on engine completed datetime time task finished execution (success or failure) on engine resubmitted uuid(ascii) msg_id of resubmitted task (if applicable) result_header dict header for result result_content dict content for result result_buffers list(bytes) buffers containing serialized request objects queue str The name of the queue for the task ('mux' or 'task') pyin str Python input source pyout dict Python output (pyout message content) pyerr dict Python traceback (pyerr message content) stdout str Stream of stdout data stderr str Stream of stderr data =============== =============== ============= MongoDB operators we emulate on all backends: ========== ================= Operator Python equivalent ========== ================= '$in' in '$nin' not in '$eq' == '$ne' != '$ge' > '$gte' >= '$le' < '$lte' <= ========== ================= The DB Query is useful for two primary cases: 1. deep polling of task status or metadata 2. selecting a subset of tasks, on which to perform a later operation (e.g. wait on result, purge records, resubmit,...) Example Queries =============== To get all msg_ids that are not completed, only retrieving their ID and start time: .. sourcecode:: ipython In [1]: incomplete = rc.db_query({'completed' : None}, keys=['msg_id', 'started']) All jobs started in the last hour by me: .. sourcecode:: ipython In [1]: from datetime import datetime, timedelta In [2]: hourago = datetime.now() - timedelta(1./24) In [3]: recent = rc.db_query({'started' : {'$gte' : hourago }, 'client_uuid' : rc.session.session}) All jobs started more than an hour ago, by clients *other than me*: .. sourcecode:: ipython In [3]: recent = rc.db_query({'started' : {'$le' : hourago }, 'client_uuid' : {'$ne' : rc.session.session}}) Result headers for all jobs on engine 3 or 4: .. sourcecode:: ipython In [1]: uuids = map(rc._engines.get, (3,4)) In [2]: hist34 = rc.db_query({'engine_uuid' : {'$in' : uuids }, keys='result_header') .. _db_cost: Cost ==== The advantage of the database backends is, of course, that large amounts of data can be stored that won't fit in memory. The basic DictDB 'backend' is actually to just store all of this information in a Python dictionary. This is very fast, but will run out of memory quickly if you move a lot of data around, or your cluster is to run for a long time. Unfortunately, the DB backends (SQLite and MongoDB) right now are rather slow, and can still consume large amounts of resources, particularly if large tasks or results are being created at a high frequency. For this reason, we have added :class:`~.NoDB`,a dummy backend that doesn't actually store any information. When you use this database, nothing is stored, and any request for results will result in a KeyError. This obviously prevents later requests for results and task resubmission from functioning, but sometimes those nice features are not as useful as keeping Hub memory under control. ipython-2.4.1/docs/source/parallel/parallel_demos.rst0000644000076500000000000001740012466235755023230 0ustar minrkwheel00000000000000.. _parallel_examples: ================= Parallel examples ================= In this section we describe two more involved examples of using an IPython cluster to perform a parallel computation. We will be doing some plotting, so we start IPython with matplotlib integration by typing:: ipython --matplotlib at the system command line. Or you can enable matplotlib integration at any point with: .. sourcecode:: ipython In [1]: %matplotlib 150 million digits of pi ======================== In this example we would like to study the distribution of digits in the number pi (in base 10). While it is not known if pi is a normal number (a number is normal in base 10 if 0-9 occur with equal likelihood) numerical investigations suggest that it is. We will begin with a serial calculation on 10,000 digits of pi and then perform a parallel calculation involving 150 million digits. In both the serial and parallel calculation we will be using functions defined in the :file:`pidigits.py` file, which is available in the :file:`examples/parallel` directory of the IPython source distribution. These functions provide basic facilities for working with the digits of pi and can be loaded into IPython by putting :file:`pidigits.py` in your current working directory and then doing: .. sourcecode:: ipython In [1]: run pidigits.py Serial calculation ------------------ For the serial calculation, we will use `SymPy `_ to calculate 10,000 digits of pi and then look at the frequencies of the digits 0-9. Out of 10,000 digits, we expect each digit to occur 1,000 times. While SymPy is capable of calculating many more digits of pi, our purpose here is to set the stage for the much larger parallel calculation. In this example, we use two functions from :file:`pidigits.py`: :func:`one_digit_freqs` (which calculates how many times each digit occurs) and :func:`plot_one_digit_freqs` (which uses Matplotlib to plot the result). Here is an interactive IPython session that uses these functions with SymPy: .. sourcecode:: ipython In [7]: import sympy In [8]: pi = sympy.pi.evalf(40) In [9]: pi Out[9]: 3.141592653589793238462643383279502884197 In [10]: pi = sympy.pi.evalf(10000) In [11]: digits = (d for d in str(pi)[2:]) # create a sequence of digits In [13]: freqs = one_digit_freqs(digits) In [14]: plot_one_digit_freqs(freqs) Out[14]: [] The resulting plot of the single digit counts shows that each digit occurs approximately 1,000 times, but that with only 10,000 digits the statistical fluctuations are still rather large: .. image:: figs/single_digits.* It is clear that to reduce the relative fluctuations in the counts, we need to look at many more digits of pi. That brings us to the parallel calculation. Parallel calculation -------------------- Calculating many digits of pi is a challenging computational problem in itself. Because we want to focus on the distribution of digits in this example, we will use pre-computed digit of pi from the website of Professor Yasumasa Kanada at the University of Tokyo (http://www.super-computing.org). These digits come in a set of text files (ftp://pi.super-computing.org/.2/pi200m/) that each have 10 million digits of pi. For the parallel calculation, we have copied these files to the local hard drives of the compute nodes. A total of 15 of these files will be used, for a total of 150 million digits of pi. To make things a little more interesting we will calculate the frequencies of all 2 digits sequences (00-99) and then plot the result using a 2D matrix in Matplotlib. The overall idea of the calculation is simple: each IPython engine will compute the two digit counts for the digits in a single file. Then in a final step the counts from each engine will be added up. To perform this calculation, we will need two top-level functions from :file:`pidigits.py`: .. literalinclude:: ../../../examples/Parallel Computing/pi/pidigits.py :language: python :lines: 47-62 We will also use the :func:`plot_two_digit_freqs` function to plot the results. The code to run this calculation in parallel is contained in :file:`examples/parallel/parallelpi.py`. This code can be run in parallel using IPython by following these steps: 1. Use :command:`ipcluster` to start 15 engines. We used 16 cores of an SGE linux cluster (1 controller + 15 engines). 2. With the file :file:`parallelpi.py` in your current working directory, open up IPython, enable matplotlib, and type ``run parallelpi.py``. This will download the pi files via ftp the first time you run it, if they are not present in the Engines' working directory. When run on our 16 cores, we observe a speedup of 14.2x. This is slightly less than linear scaling (16x) because the controller is also running on one of the cores. To emphasize the interactive nature of IPython, we now show how the calculation can also be run by simply typing the commands from :file:`parallelpi.py` interactively into IPython: .. sourcecode:: ipython In [1]: from IPython.parallel import Client # The Client allows us to use the engines interactively. # We simply pass Client the name of the cluster profile we # are using. In [2]: c = Client(profile='mycluster') In [3]: v = c[:] In [3]: c.ids Out[3]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] In [4]: run pidigits.py In [5]: filestring = 'pi200m.ascii.%(i)02dof20' # Create the list of files to process. In [6]: files = [filestring % {'i':i} for i in range(1,16)] In [7]: files Out[7]: ['pi200m.ascii.01of20', 'pi200m.ascii.02of20', 'pi200m.ascii.03of20', 'pi200m.ascii.04of20', 'pi200m.ascii.05of20', 'pi200m.ascii.06of20', 'pi200m.ascii.07of20', 'pi200m.ascii.08of20', 'pi200m.ascii.09of20', 'pi200m.ascii.10of20', 'pi200m.ascii.11of20', 'pi200m.ascii.12of20', 'pi200m.ascii.13of20', 'pi200m.ascii.14of20', 'pi200m.ascii.15of20'] # download the data files if they don't already exist: In [8]: v.map(fetch_pi_file, files) # This is the parallel calculation using the Client.map method # which applies compute_two_digit_freqs to each file in files in parallel. In [9]: freqs_all = v.map(compute_two_digit_freqs, files) # Add up the frequencies from each engine. In [10]: freqs = reduce_freqs(freqs_all) In [11]: plot_two_digit_freqs(freqs) Out[11]: In [12]: plt.title('2 digit counts of 150m digits of pi') Out[12]: The resulting plot generated by Matplotlib is shown below. The colors indicate which two digit sequences are more (red) or less (blue) likely to occur in the first 150 million digits of pi. We clearly see that the sequence "41" is most likely and that "06" and "07" are least likely. Further analysis would show that the relative size of the statistical fluctuations have decreased compared to the 10,000 digit calculation. .. image:: figs/two_digit_counts.* Conclusion ========== To conclude these examples, we summarize the key features of IPython's parallel architecture that have been demonstrated: * Serial code can be parallelized often with only a few extra lines of code. We have used the :class:`DirectView` and :class:`LoadBalancedView` classes for this purpose. * The resulting parallel code can be run without ever leaving the IPython's interactive shell. * Any data computed in parallel can be explored interactively through visualization or further numerical calculations. * We have run these examples on a cluster running RHEL 5 and Sun GridEngine. IPython's built in support for SGE (and other batch systems) makes it easy to get started with IPython's parallel capabilities. ipython-2.4.1/docs/source/parallel/parallel_details.rst0000644000076500000000000005324512466235755023555 0ustar minrkwheel00000000000000.. _parallel_details: ========================================== Details of Parallel Computing with IPython ========================================== .. note:: There are still many sections to fill out in this doc Caveats ======= First, some caveats about the detailed workings of parallel computing with 0MQ and IPython. Non-copying sends and numpy arrays ---------------------------------- When numpy arrays are passed as arguments to apply or via data-movement methods, they are not copied. This means that you must be careful if you are sending an array that you intend to work on. PyZMQ does allow you to track when a message has been sent so you can know when it is safe to edit the buffer, but IPython only allows for this. It is also important to note that the non-copying receive of a message is *read-only*. That means that if you intend to work in-place on an array that you have sent or received, you must copy it. This is true for both numpy arrays sent to engines and numpy arrays retrieved as results. The following will fail: .. sourcecode:: ipython In [3]: A = numpy.zeros(2) In [4]: def setter(a): ...: a[0]=1 ...: return a In [5]: rc[0].apply_sync(setter, A) --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) in () in setter(a) RuntimeError: array is not writeable If you do need to edit the array in-place, just remember to copy the array if it's read-only. The :attr:`ndarray.flags.writeable` flag will tell you if you can write to an array. .. sourcecode:: ipython In [3]: A = numpy.zeros(2) In [4]: def setter(a): ...: """only copy read-only arrays""" ...: if not a.flags.writeable: ...: a=a.copy() ...: a[0]=1 ...: return a In [5]: rc[0].apply_sync(setter, A) Out[5]: array([ 1., 0.]) # note that results will also be read-only: In [6]: _.flags.writeable Out[6]: False If you want to safely edit an array in-place after *sending* it, you must use the `track=True` flag. IPython always performs non-copying sends of arrays, which return immediately. You must instruct IPython track those messages *at send time* in order to know for sure that the send has completed. AsyncResults have a :attr:`sent` property, and :meth:`wait_on_send` method for checking and waiting for 0MQ to finish with a buffer. .. sourcecode:: ipython In [5]: A = numpy.random.random((1024,1024)) In [6]: view.track=True In [7]: ar = view.apply_async(lambda x: 2*x, A) In [8]: ar.sent Out[8]: False In [9]: ar.wait_on_send() # blocks until sent is True What is sendable? ----------------- If IPython doesn't know what to do with an object, it will pickle it. There is a short list of objects that are not pickled: ``buffers``, ``str/bytes`` objects, and ``numpy`` arrays. These are handled specially by IPython in order to prevent the copying of data. Sending bytes or numpy arrays will result in exactly zero in-memory copies of your data (unless the data is very small). If you have an object that provides a Python buffer interface, then you can always send that buffer without copying - and reconstruct the object on the other side in your own code. It is possible that the object reconstruction will become extensible, so you can add your own non-copying types, but this does not yet exist. Closures ******** Just about anything in Python is pickleable. The one notable exception is objects (generally functions) with *closures*. Closures can be a complicated topic, but the basic principal is that functions that refer to variables in their parent scope have closures. An example of a function that uses a closure: .. sourcecode:: python def f(a): def inner(): # inner will have a closure return a return inner f1 = f(1) f2 = f(2) f1() # returns 1 f2() # returns 2 ``f1`` and ``f2`` will have closures referring to the scope in which `inner` was defined, because they use the variable 'a'. As a result, you would not be able to send ``f1`` or ``f2`` with IPython. Note that you *would* be able to send `f`. This is only true for interactively defined functions (as are often used in decorators), and only when there are variables used inside the inner function, that are defined in the outer function. If the names are *not* in the outer function, then there will not be a closure, and the generated function will look in ``globals()`` for the name: .. sourcecode:: python def g(b): # note that `b` is not referenced in inner's scope def inner(): # this inner will *not* have a closure return a return inner g1 = g(1) g2 = g(2) g1() # raises NameError on 'a' a=5 g2() # returns 5 `g1` and `g2` *will* be sendable with IPython, and will treat the engine's namespace as globals(). The :meth:`pull` method is implemented based on this principle. If we did not provide pull, you could implement it yourself with `apply`, by simply returning objects out of the global namespace: .. sourcecode:: ipython In [10]: view.apply(lambda : a) # is equivalent to In [11]: view.pull('a') Running Code ============ There are two principal units of execution in Python: strings of Python code (e.g. 'a=5'), and Python functions. IPython is designed around the use of functions via the core Client method, called `apply`. Apply ----- The principal method of remote execution is :meth:`apply`, of :class:`~IPython.parallel.client.view.View` objects. The Client provides the full execution and communication API for engines via its low-level :meth:`send_apply_message` method, which is used by all higher level methods of its Views. f : function The function to be called remotely args : tuple/list The positional arguments passed to `f` kwargs : dict The keyword arguments passed to `f` flags for all views: block : bool (default: view.block) Whether to wait for the result, or return immediately. False: returns AsyncResult True: returns actual result(s) of ``f(*args, **kwargs)`` if multiple targets: list of results, matching `targets` track : bool [default view.track] whether to track non-copying sends. targets : int,list of ints, 'all', None [default view.targets] Specify the destination of the job. if 'all' or None: Run on all active engines if list: Run on each specified engine if int: Run on single engine Note that :class:`LoadBalancedView` uses targets to restrict possible destinations. LoadBalanced calls will always execute in just one location. flags only in LoadBalancedViews: after : Dependency or collection of msg_ids Only for load-balanced execution (targets=None) Specify a list of msg_ids as a time-based dependency. This job will only be run *after* the dependencies have been met. follow : Dependency or collection of msg_ids Only for load-balanced execution (targets=None) Specify a list of msg_ids as a location-based dependency. This job will only be run on an engine where this dependency is met. timeout : float/int or None Only for load-balanced execution (targets=None) Specify an amount of time (in seconds) for the scheduler to wait for dependencies to be met before failing with a DependencyTimeout. execute and run --------------- For executing strings of Python code, :class:`DirectView` 's also provide an :meth:`execute` and a :meth:`run` method, which rather than take functions and arguments, take simple strings. `execute` simply takes a string of Python code to execute, and sends it to the Engine(s). `run` is the same as `execute`, but for a *file*, rather than a string. It is simply a wrapper that does something very similar to ``execute(open(f).read())``. .. note:: TODO: Examples for execute and run Views ===== The principal extension of the :class:`~parallel.Client` is the :class:`~parallel.View` class. The client is typically a singleton for connecting to a cluster, and presents a low-level interface to the Hub and Engines. Most real usage will involve creating one or more :class:`~parallel.View` objects for working with engines in various ways. DirectView ---------- The :class:`.DirectView` is the class for the IPython :ref:`Multiplexing Interface `. Creating a DirectView ********************* DirectViews can be created in two ways, by index access to a client, or by a client's :meth:`view` method. Index access to a Client works in a few ways. First, you can create DirectViews to single engines simply by accessing the client by engine id: .. sourcecode:: ipython In [2]: rc[0] Out[2]: You can also create a DirectView with a list of engines: .. sourcecode:: ipython In [2]: rc[0,1,2] Out[2]: Other methods for accessing elements, such as slicing and negative indexing, work by passing the index directly to the client's :attr:`ids` list, so: .. sourcecode:: ipython # negative index In [2]: rc[-1] Out[2]: # or slicing: In [3]: rc[::2] Out[3]: are always the same as: .. sourcecode:: ipython In [2]: rc[rc.ids[-1]] Out[2]: In [3]: rc[rc.ids[::2]] Out[3]: Also note that the slice is evaluated at the time of construction of the DirectView, so the targets will not change over time if engines are added/removed from the cluster. Execution via DirectView ************************ The DirectView is the simplest way to work with one or more engines directly (hence the name). For instance, to get the process ID of all your engines: .. sourcecode:: ipython In [5]: import os In [6]: dview.apply_sync(os.getpid) Out[6]: [1354, 1356, 1358, 1360] Or to see the hostname of the machine they are on: .. sourcecode:: ipython In [5]: import socket In [6]: dview.apply_sync(socket.gethostname) Out[6]: ['tesla', 'tesla', 'edison', 'edison', 'edison'] .. note:: TODO: expand on direct execution Data movement via DirectView **************************** Since a Python namespace is just a :class:`dict`, :class:`DirectView` objects provide dictionary-style access by key and methods such as :meth:`get` and :meth:`update` for convenience. This make the remote namespaces of the engines appear as a local dictionary. Underneath, these methods call :meth:`apply`: .. sourcecode:: ipython In [51]: dview['a']=['foo','bar'] In [52]: dview['a'] Out[52]: [ ['foo', 'bar'], ['foo', 'bar'], ['foo', 'bar'], ['foo', 'bar'] ] Scatter and gather ------------------ Sometimes it is useful to partition a sequence and push the partitions to different engines. In MPI language, this is know as scatter/gather and we follow that terminology. However, it is important to remember that in IPython's :class:`Client` class, :meth:`scatter` is from the interactive IPython session to the engines and :meth:`gather` is from the engines back to the interactive IPython session. For scatter/gather operations between engines, MPI should be used: .. sourcecode:: ipython In [58]: dview.scatter('a',range(16)) Out[58]: [None,None,None,None] In [59]: dview['a'] Out[59]: [ [0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11], [12, 13, 14, 15] ] In [60]: dview.gather('a') Out[60]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Push and pull ------------- :meth:`~IPython.parallel.client.view.DirectView.push` :meth:`~IPython.parallel.client.view.DirectView.pull` .. note:: TODO: write this section LoadBalancedView ---------------- The :class:`~.LoadBalancedView` is the class for load-balanced execution via the task scheduler. These views always run tasks on exactly one engine, but let the scheduler determine where that should be, allowing load-balancing of tasks. The LoadBalancedView does allow you to specify restrictions on where and when tasks can execute, for more complicated load-balanced workflows. Data Movement ============= Since the :class:`~.LoadBalancedView` does not know where execution will take place, explicit data movement methods like push/pull and scatter/gather do not make sense, and are not provided. Results ======= AsyncResults ------------ Our primary representation of the results of remote execution is the :class:`~.AsyncResult` object, based on the object of the same name in the built-in :mod:`multiprocessing.pool` module. Our version provides a superset of that interface. The basic principle of the AsyncResult is the encapsulation of one or more results not yet completed. Execution methods (including data movement, such as push/pull) will all return AsyncResults when `block=False`. The mp.pool.AsyncResult interface --------------------------------- The basic interface of the AsyncResult is exactly that of the AsyncResult in :mod:`multiprocessing.pool`, and consists of four methods: .. AsyncResult spec directly from docs.python.org .. class:: AsyncResult The stdlib AsyncResult spec .. method:: wait([timeout]) Wait until the result is available or until *timeout* seconds pass. This method always returns ``None``. .. method:: ready() Return whether the call has completed. .. method:: successful() Return whether the call completed without raising an exception. Will raise :exc:`AssertionError` if the result is not ready. .. method:: get([timeout]) Return the result when it arrives. If *timeout* is not ``None`` and the result does not arrive within *timeout* seconds then :exc:`TimeoutError` is raised. If the remote call raised an exception then that exception will be reraised as a :exc:`RemoteError` by :meth:`get`. While an AsyncResult is not done, you can check on it with its :meth:`ready` method, which will return whether the AR is done. You can also wait on an AsyncResult with its :meth:`wait` method. This method blocks until the result arrives. If you don't want to wait forever, you can pass a timeout (in seconds) as an argument to :meth:`wait`. :meth:`wait` will *always return None*, and should never raise an error. :meth:`ready` and :meth:`wait` are insensitive to the success or failure of the call. After a result is done, :meth:`successful` will tell you whether the call completed without raising an exception. If you actually want the result of the call, you can use :meth:`get`. Initially, :meth:`get` behaves just like :meth:`wait`, in that it will block until the result is ready, or until a timeout is met. However, unlike :meth:`wait`, :meth:`get` will raise a :exc:`TimeoutError` if the timeout is reached and the result is still not ready. If the result arrives before the timeout is reached, then :meth:`get` will return the result itself if no exception was raised, and will raise an exception if there was. Here is where we start to expand on the multiprocessing interface. Rather than raising the original exception, a RemoteError will be raised, encapsulating the remote exception with some metadata. If the AsyncResult represents multiple calls (e.g. any time `targets` is plural), then a CompositeError, a subclass of RemoteError, will be raised. .. seealso:: For more information on remote exceptions, see :ref:`the section in the Direct Interface `. Extended interface ****************** Other extensions of the AsyncResult interface include convenience wrappers for :meth:`get`. AsyncResults have a property, :attr:`result`, with the short alias :attr:`r`, which simply call :meth:`get`. Since our object is designed for representing *parallel* results, it is expected that many calls (any of those submitted via DirectView) will map results to engine IDs. We provide a :meth:`get_dict`, which is also a wrapper on :meth:`get`, which returns a dictionary of the individual results, keyed by engine ID. You can also prevent a submitted job from actually executing, via the AsyncResult's :meth:`abort` method. This will instruct engines to not execute the job when it arrives. The larger extension of the AsyncResult API is the :attr:`metadata` attribute. The metadata is a dictionary (with attribute access) that contains, logically enough, metadata about the execution. Metadata keys: timestamps submitted When the task left the Client started When the task started execution on the engine completed When execution finished on the engine received When the result arrived on the Client note that it is not known when the result arrived in 0MQ on the client, only when it arrived in Python via :meth:`Client.spin`, so in interactive use, this may not be strictly informative. Information about the engine engine_id The integer id engine_uuid The UUID of the engine output of the call pyerr Python exception, if there was one pyout Python output stderr stderr stream stdout stdout (e.g. print) stream And some extended information status either 'ok' or 'error' msg_id The UUID of the message after For tasks: the time-based msg_id dependencies follow For tasks: the location-based msg_id dependencies While in most cases, the Clients that submitted a request will be the ones using the results, other Clients can also request results directly from the Hub. This is done via the Client's :meth:`get_result` method. This method will *always* return an AsyncResult object. If the call was not submitted by the client, then it will be a subclass, called :class:`AsyncHubResult`. These behave in the same way as an AsyncResult, but if the result is not ready, waiting on an AsyncHubResult polls the Hub, which is much more expensive than the passive polling used in regular AsyncResults. The Client keeps track of all results history, results, metadata Querying the Hub ================ The Hub sees all traffic that may pass through the schedulers between engines and clients. It does this so that it can track state, allowing multiple clients to retrieve results of computations submitted by their peers, as well as persisting the state to a database. queue_status You can check the status of the queues of the engines with this command. result_status check on results purge_results forget results (conserve resources) Controlling the Engines ======================= There are a few actions you can do with Engines that do not involve execution. These messages are sent via the Control socket, and bypass any long queues of waiting execution jobs abort Sometimes you may want to prevent a job you have submitted from actually running. The method for this is :meth:`abort`. It takes a container of msg_ids, and instructs the Engines to not run the jobs if they arrive. The jobs will then fail with an AbortedTask error. clear You may want to purge the Engine(s) namespace of any data you have left in it. After running `clear`, there will be no names in the Engine's namespace shutdown You can also instruct engines (and the Controller) to terminate from a Client. This can be useful when a job is finished, since you can shutdown all the processes with a single command. Synchronization =============== Since the Client is a synchronous object, events do not automatically trigger in your interactive session - you must poll the 0MQ sockets for incoming messages. Note that this polling *does not* actually make any network requests. It simply performs a `select` operation, to check if messages are already in local memory, waiting to be handled. The method that handles incoming messages is :meth:`spin`. This method flushes any waiting messages on the various incoming sockets, and updates the state of the Client. If you need to wait for particular results to finish, you can use the :meth:`wait` method, which will call :meth:`spin` until the messages are no longer outstanding. Anything that represents a collection of messages, such as a list of msg_ids or one or more AsyncResult objects, can be passed as argument to wait. A timeout can be specified, which will prevent the call from blocking for more than a specified time, but the default behavior is to wait forever. The client also has an ``outstanding`` attribute - a ``set`` of msg_ids that are awaiting replies. This is the default if wait is called with no arguments - i.e. wait on *all* outstanding messages. .. note:: TODO wait example Map === Many parallel computing problems can be expressed as a ``map``, or running a single program with a variety of different inputs. Python has a built-in :py:func:`map`, which does exactly this, and many parallel execution tools in Python, such as the built-in :py:class:`multiprocessing.Pool` object provide implementations of `map`. All View objects provide a :meth:`map` method as well, but the load-balanced and direct implementations differ. Views' map methods can be called on any number of sequences, but they can also take the `block` and `bound` keyword arguments, just like :meth:`~client.apply`, but *only as keywords*. .. sourcecode:: python dview.map(*sequences, block=None) * iter, map_async, reduce Decorators and RemoteFunctions ============================== .. note:: TODO: write this section :func:`~IPython.parallel.client.remotefunction.@parallel` :func:`~IPython.parallel.client.remotefunction.@remote` :class:`~IPython.parallel.client.remotefunction.RemoteFunction` :class:`~IPython.parallel.client.remotefunction.ParallelFunction` Dependencies ============ .. note:: TODO: write this section :func:`~IPython.parallel.controller.dependency.@depend` :func:`~IPython.parallel.controller.dependency.@require` :class:`~IPython.parallel.controller.dependency.Dependency` ipython-2.4.1/docs/source/parallel/parallel_intro.rst0000644000076500000000000002651512466235755023263 0ustar minrkwheel00000000000000.. _parallel_overview: ============================ Overview and getting started ============================ Examples ======== We have various example scripts and notebooks for using IPython.parallel in our :file:`examples/Parallel%20Computing` directory, or they can be viewed `using nbviewer`__. Some of these are covered in more detail in the :ref:`examples ` section. .. __: http://nbviewer.ipython.org/github/ipython/ipython/blob/master/examples/Parallel%20Computing/Index.ipynb Introduction ============ This section gives an overview of IPython's sophisticated and powerful architecture for parallel and distributed computing. This architecture abstracts out parallelism in a very general way, which enables IPython to support many different styles of parallelism including: * Single program, multiple data (SPMD) parallelism. * Multiple program, multiple data (MPMD) parallelism. * Message passing using MPI. * Task farming. * Data parallel. * Combinations of these approaches. * Custom user defined approaches. Most importantly, IPython enables all types of parallel applications to be developed, executed, debugged and monitored *interactively*. Hence, the ``I`` in IPython. The following are some example usage cases for IPython: * Quickly parallelize algorithms that are embarrassingly parallel using a number of simple approaches. Many simple things can be parallelized interactively in one or two lines of code. * Steer traditional MPI applications on a supercomputer from an IPython session on your laptop. * Analyze and visualize large datasets (that could be remote and/or distributed) interactively using IPython and tools like matplotlib/TVTK. * Develop, test and debug new parallel algorithms (that may use MPI) interactively. * Tie together multiple MPI jobs running on different systems into one giant distributed and parallel system. * Start a parallel job on your cluster and then have a remote collaborator connect to it and pull back data into their local IPython session for plotting and analysis. * Run a set of tasks on a set of CPUs using dynamic load balancing. .. tip:: At the SciPy 2011 conference in Austin, Min Ragan-Kelley presented a complete 4-hour tutorial on the use of these features, and all the materials for the tutorial are now `available online`__. That tutorial provides an excellent, hands-on oriented complement to the reference documentation presented here. .. __: http://minrk.github.com/scipy-tutorial-2011 Architecture overview ===================== .. figure:: figs/wideView.png :width: 300px The IPython architecture consists of four components: * The IPython engine. * The IPython hub. * The IPython schedulers. * The controller client. These components live in the :mod:`IPython.parallel` package and are installed with IPython. They do, however, have additional dependencies that must be installed. For more information, see our :ref:`installation documentation `. .. TODO: include zmq in install_index IPython engine --------------- The IPython engine is a Python instance that takes Python commands over a network connection. Eventually, the IPython engine will be a full IPython interpreter, but for now, it is a regular Python interpreter. The engine can also handle incoming and outgoing Python objects sent over a network connection. When multiple engines are started, parallel and distributed computing becomes possible. An important feature of an IPython engine is that it blocks while user code is being executed. Read on for how the IPython controller solves this problem to expose a clean asynchronous API to the user. IPython controller ------------------ The IPython controller processes provide an interface for working with a set of engines. At a general level, the controller is a collection of processes to which IPython engines and clients can connect. The controller is composed of a :class:`Hub` and a collection of :class:`Schedulers`. These Schedulers are typically run in separate processes but on the same machine as the Hub, but can be run anywhere from local threads or on remote machines. The controller also provides a single point of contact for users who wish to utilize the engines connected to the controller. There are different ways of working with a controller. In IPython, all of these models are implemented via the :meth:`.View.apply` method, after constructing :class:`.View` objects to represent subsets of engines. The two primary models for interacting with engines are: * A **Direct** interface, where engines are addressed explicitly. * A **LoadBalanced** interface, where the Scheduler is trusted with assigning work to appropriate engines. Advanced users can readily extend the View models to enable other styles of parallelism. .. note:: A single controller and set of engines can be used with multiple models simultaneously. This opens the door for lots of interesting things. The Hub ******* The center of an IPython cluster is the Hub. This is the process that keeps track of engine connections, schedulers, clients, as well as all task requests and results. The primary role of the Hub is to facilitate queries of the cluster state, and minimize the necessary information required to establish the many connections involved in connecting new clients and engines. Schedulers ********** All actions that can be performed on the engine go through a Scheduler. While the engines themselves block when user code is run, the schedulers hide that from the user to provide a fully asynchronous interface to a set of engines. IPython client and views ------------------------ There is one primary object, the :class:`~.parallel.Client`, for connecting to a cluster. For each execution model, there is a corresponding :class:`~.parallel.View`. These views allow users to interact with a set of engines through the interface. Here are the two default views: * The :class:`DirectView` class for explicit addressing. * The :class:`LoadBalancedView` class for destination-agnostic scheduling. Security -------- IPython uses ZeroMQ for networking, which has provided many advantages, but one of the setbacks is its utter lack of security [ZeroMQ]_. By default, no IPython connections are encrypted, but open ports only listen on localhost. The only source of security for IPython is via ssh-tunnel. IPython supports both shell (`openssh`) and `paramiko` based tunnels for connections. There is a key necessary to submit requests, but due to the lack of encryption, it does not provide significant security if loopback traffic is compromised. In our architecture, the controller is the only process that listens on network ports, and is thus the main point of vulnerability. The standard model for secure connections is to designate that the controller listen on localhost, and use ssh-tunnels to connect clients and/or engines. To connect and authenticate to the controller an engine or client needs some information that the controller has stored in a JSON file. Thus, the JSON files need to be copied to a location where the clients and engines can find them. Typically, this is the :file:`~/.ipython/profile_default/security` directory on the host where the client/engine is running (which could be a different host than the controller). Once the JSON files are copied over, everything should work fine. Currently, there are two JSON files that the controller creates: ipcontroller-engine.json This JSON file has the information necessary for an engine to connect to a controller. ipcontroller-client.json The client's connection information. This may not differ from the engine's, but since the controller may listen on different ports for clients and engines, it is stored separately. ipcontroller-client.json will look something like this, under default localhost circumstances: .. sourcecode:: python { "url":"tcp:\/\/127.0.0.1:54424", "exec_key":"a361fe89-92fc-4762-9767-e2f0a05e3130", "ssh":"", "location":"10.19.1.135" } If, however, you are running the controller on a work node on a cluster, you will likely need to use ssh tunnels to connect clients from your laptop to it. You will also probably need to instruct the controller to listen for engines coming from other work nodes on the cluster. An example of ipcontroller-client.json, as created by:: $> ipcontroller --ip=* --ssh=login.mycluster.com .. sourcecode:: python { "url":"tcp:\/\/*:54424", "exec_key":"a361fe89-92fc-4762-9767-e2f0a05e3130", "ssh":"login.mycluster.com", "location":"10.0.0.2" } More details of how these JSON files are used are given below. A detailed description of the security model and its implementation in IPython can be found :ref:`here `. .. warning:: Even at its most secure, the Controller listens on ports on localhost, and every time you make a tunnel, you open a localhost port on the connecting machine that points to the Controller. If localhost on the Controller's machine, or the machine of any client or engine, is untrusted, then your Controller is insecure. There is no way around this with ZeroMQ. Getting Started =============== To use IPython for parallel computing, you need to start one instance of the controller and one or more instances of the engine. Initially, it is best to simply start a controller and engines on a single host using the :command:`ipcluster` command. To start a controller and 4 engines on your localhost, just do:: $ ipcluster start -n 4 More details about starting the IPython controller and engines can be found :ref:`here ` Once you have started the IPython controller and one or more engines, you are ready to use the engines to do something useful. To make sure everything is working correctly, try the following commands: .. sourcecode:: ipython In [1]: from IPython.parallel import Client In [2]: c = Client() In [4]: c.ids Out[4]: set([0, 1, 2, 3]) In [5]: c[:].apply_sync(lambda : "Hello, World") Out[5]: [ 'Hello, World', 'Hello, World', 'Hello, World', 'Hello, World' ] When a client is created with no arguments, the client tries to find the corresponding JSON file in the local `~/.ipython/profile_default/security` directory. Or if you specified a profile, you can use that with the Client. This should cover most cases: .. sourcecode:: ipython In [2]: c = Client(profile='myprofile') If you have put the JSON file in a different location or it has a different name, create the client like this: .. sourcecode:: ipython In [2]: c = Client('/path/to/my/ipcontroller-client.json') Remember, a client needs to be able to see the Hub's ports to connect. So if they are on a different machine, you may need to use an ssh server to tunnel access to that machine, then you would connect to it with: .. sourcecode:: ipython In [2]: c = Client('/path/to/my/ipcontroller-client.json', sshserver='me@myhub.example.com') Where 'myhub.example.com' is the url or IP address of the machine on which the Hub process is running (or another machine that has direct access to the Hub's ports). The SSH server may already be specified in ipcontroller-client.json, if the controller was instructed at its launch time. You are now ready to learn more about the :ref:`Direct ` and :ref:`LoadBalanced ` interfaces to the controller. .. [ZeroMQ] ZeroMQ. http://www.zeromq.org ipython-2.4.1/docs/source/parallel/parallel_mpi.rst0000644000076500000000000001243512466235755022711 0ustar minrkwheel00000000000000.. _parallelmpi: ======================= Using MPI with IPython ======================= Often, a parallel algorithm will require moving data between the engines. One way of accomplishing this is by doing a pull and then a push using the multiengine client. However, this will be slow as all the data has to go through the controller to the client and then back through the controller, to its final destination. A much better way of moving data between engines is to use a message passing library, such as the Message Passing Interface (MPI) [MPI]_. IPython's parallel computing architecture has been designed from the ground up to integrate with MPI. This document describes how to use MPI with IPython. Additional installation requirements ==================================== If you want to use MPI with IPython, you will need to install: * A standard MPI implementation such as OpenMPI [OpenMPI]_ or MPICH. * The mpi4py [mpi4py]_ package. .. note:: The mpi4py package is not a strict requirement. However, you need to have *some* way of calling MPI from Python. You also need some way of making sure that :func:`MPI_Init` is called when the IPython engines start up. There are a number of ways of doing this and a good number of associated subtleties. We highly recommend just using mpi4py as it takes care of most of these problems. If you want to do something different, let us know and we can help you get started. Starting the engines with MPI enabled ===================================== To use code that calls MPI, there are typically two things that MPI requires. 1. The process that wants to call MPI must be started using :command:`mpiexec` or a batch system (like PBS) that has MPI support. 2. Once the process starts, it must call :func:`MPI_Init`. There are a couple of ways that you can start the IPython engines and get these things to happen. Automatic starting using :command:`mpiexec` and :command:`ipcluster` -------------------------------------------------------------------- The easiest approach is to use the `MPI` Launchers in :command:`ipcluster`, which will first start a controller and then a set of engines using :command:`mpiexec`:: $ ipcluster start -n 4 --engines=MPIEngineSetLauncher This approach is best as interrupting :command:`ipcluster` will automatically stop and clean up the controller and engines. Manual starting using :command:`mpiexec` ---------------------------------------- If you want to start the IPython engines using the :command:`mpiexec`, just do:: $ mpiexec -n 4 ipengine --mpi=mpi4py This requires that you already have a controller running and that the FURL files for the engines are in place. We also have built in support for PyTrilinos [PyTrilinos]_, which can be used (assuming is installed) by starting the engines with:: $ mpiexec -n 4 ipengine --mpi=pytrilinos Automatic starting using PBS and :command:`ipcluster` ------------------------------------------------------ The :command:`ipcluster` command also has built-in integration with PBS. For more information on this approach, see our documentation on :ref:`ipcluster `. Actually using MPI ================== Once the engines are running with MPI enabled, you are ready to go. You can now call any code that uses MPI in the IPython engines. And, all of this can be done interactively. Here we show a simple example that uses mpi4py [mpi4py]_ version 1.1.0 or later. First, lets define a simply function that uses MPI to calculate the sum of a distributed array. Save the following text in a file called :file:`psum.py`: .. sourcecode:: python from mpi4py import MPI import numpy as np def psum(a): locsum = np.sum(a) rcvBuf = np.array(0.0,'d') MPI.COMM_WORLD.Allreduce([locsum, MPI.DOUBLE], [rcvBuf, MPI.DOUBLE], op=MPI.SUM) return rcvBuf Now, start an IPython cluster:: $ ipcluster start --profile=mpi -n 4 .. note:: It is assumed here that the mpi profile has been set up, as described :ref:`here `. Finally, connect to the cluster and use this function interactively. In this case, we create a distributed array and sum up all its elements in a distributed manner using our :func:`psum` function: .. sourcecode:: ipython In [1]: from IPython.parallel import Client In [2]: c = Client(profile='mpi') In [3]: view = c[:] In [4]: view.activate() # enable magics # run the contents of the file on each engine: In [5]: view.run('psum.py') In [6]: view.scatter('a',np.arange(16,dtype='float')) In [7]: view['a'] Out[7]: [array([ 0., 1., 2., 3.]), array([ 4., 5., 6., 7.]), array([ 8., 9., 10., 11.]), array([ 12., 13., 14., 15.])] In [7]: %px totalsum = psum(a) Parallel execution on engines: [0,1,2,3] In [8]: view['totalsum'] Out[8]: [120.0, 120.0, 120.0, 120.0] Any Python code that makes calls to MPI can be used in this manner, including compiled C, C++ and Fortran libraries that have been exposed to Python. .. [MPI] Message Passing Interface. http://www-unix.mcs.anl.gov/mpi/ .. [mpi4py] MPI for Python. mpi4py: http://mpi4py.scipy.org/ .. [OpenMPI] Open MPI. http://www.open-mpi.org/ .. [PyTrilinos] PyTrilinos. http://trilinos.sandia.gov/packages/pytrilinos/ ipython-2.4.1/docs/source/parallel/parallel_multiengine.rst0000644000076500000000000005604412466235755024450 0ustar minrkwheel00000000000000.. _parallel_multiengine: ========================== IPython's Direct interface ========================== The direct, or multiengine, interface represents one possible way of working with a set of IPython engines. The basic idea behind the multiengine interface is that the capabilities of each engine are directly and explicitly exposed to the user. Thus, in the multiengine interface, each engine is given an id that is used to identify the engine and give it work to do. This interface is very intuitive and is designed with interactive usage in mind, and is the best place for new users of IPython to begin. Starting the IPython controller and engines =========================================== To follow along with this tutorial, you will need to start the IPython controller and four IPython engines. The simplest way of doing this is to use the :command:`ipcluster` command:: $ ipcluster start -n 4 For more detailed information about starting the controller and engines, see our :ref:`introduction ` to using IPython for parallel computing. Creating a ``DirectView`` instance ================================== The first step is to import the IPython :mod:`IPython.parallel` module and then create a :class:`.Client` instance: .. sourcecode:: ipython In [1]: from IPython.parallel import Client In [2]: rc = Client() This form assumes that the default connection information (stored in :file:`ipcontroller-client.json` found in :file:`IPYTHONDIR/profile_default/security`) is accurate. If the controller was started on a remote machine, you must copy that connection file to the client machine, or enter its contents as arguments to the Client constructor: .. sourcecode:: ipython # If you have copied the json connector file from the controller: In [2]: rc = Client('/path/to/ipcontroller-client.json') # or to connect with a specific profile you have set up: In [3]: rc = Client(profile='mpi') To make sure there are engines connected to the controller, users can get a list of engine ids: .. sourcecode:: ipython In [3]: rc.ids Out[3]: [0, 1, 2, 3] Here we see that there are four engines ready to do work for us. For direct execution, we will make use of a :class:`DirectView` object, which can be constructed via list-access to the client: .. sourcecode:: ipython In [4]: dview = rc[:] # use all engines .. seealso:: For more information, see the in-depth explanation of :ref:`Views `. Quick and easy parallelism ========================== In many cases, you simply want to apply a Python function to a sequence of objects, but *in parallel*. The client interface provides a simple way of accomplishing this: using the DirectView's :meth:`~DirectView.map` method. Parallel map ------------ Python's builtin :func:`map` functions allows a function to be applied to a sequence element-by-element. This type of code is typically trivial to parallelize. In fact, since IPython's interface is all about functions anyway, you can just use the builtin :func:`map` with a :class:`RemoteFunction`, or a DirectView's :meth:`map` method: .. sourcecode:: ipython In [62]: serial_result = map(lambda x:x**10, range(32)) In [63]: parallel_result = dview.map_sync(lambda x: x**10, range(32)) In [67]: serial_result==parallel_result Out[67]: True .. note:: The :class:`DirectView`'s version of :meth:`map` does not do dynamic load balancing. For a load balanced version, use a :class:`LoadBalancedView`. .. seealso:: :meth:`map` is implemented via :class:`ParallelFunction`. Remote function decorators -------------------------- Remote functions are just like normal functions, but when they are called, they execute on one or more engines, rather than locally. IPython provides two decorators: .. sourcecode:: ipython In [10]: @dview.remote(block=True) ....: def getpid(): ....: import os ....: return os.getpid() ....: In [11]: getpid() Out[11]: [12345, 12346, 12347, 12348] The ``@parallel`` decorator creates parallel functions, that break up an element-wise operations and distribute them, reconstructing the result. .. sourcecode:: ipython In [12]: import numpy as np In [13]: A = np.random.random((64,48)) In [14]: @dview.parallel(block=True) ....: def pmul(A,B): ....: return A*B In [15]: C_local = A*A In [16]: C_remote = pmul(A,A) In [17]: (C_local == C_remote).all() Out[17]: True Calling a ``@parallel`` function *does not* correspond to map. It is used for splitting element-wise operations that operate on a sequence or array. For ``map`` behavior, parallel functions do have a map method. ==================== ============================ ============================= call pfunc(seq) pfunc.map(seq) ==================== ============================ ============================= # of tasks # of engines (1 per engine) # of engines (1 per engine) # of remote calls # of engines (1 per engine) ``len(seq)`` argument to remote ``seq[i:j]`` (sub-sequence) ``seq[i]`` (single element) ==================== ============================ ============================= A quick example to illustrate the difference in arguments for the two modes: .. sourcecode:: ipython In [16]: @dview.parallel(block=True) ....: def echo(x): ....: return str(x) ....: In [17]: echo(range(5)) Out[17]: ['[0, 1]', '[2]', '[3]', '[4]'] In [18]: echo.map(range(5)) Out[18]: ['0', '1', '2', '3', '4'] .. seealso:: See the :func:`~.remotefunction.parallel` and :func:`~.remotefunction.remote` decorators for options. Calling Python functions ======================== The most basic type of operation that can be performed on the engines is to execute Python code or call Python functions. Executing Python code can be done in blocking or non-blocking mode (non-blocking is default) using the :meth:`.View.execute` method, and calling functions can be done via the :meth:`.View.apply` method. apply ----- The main method for doing remote execution (in fact, all methods that communicate with the engines are built on top of it), is :meth:`View.apply`. We strive to provide the cleanest interface we can, so `apply` has the following signature: .. sourcecode:: python view.apply(f, *args, **kwargs) There are various ways to call functions with IPython, and these flags are set as attributes of the View. The ``DirectView`` has just two of these flags: dv.block : bool whether to wait for the result, or return an :class:`AsyncResult` object immediately dv.track : bool whether to instruct pyzmq to track when zeromq is done sending the message. This is primarily useful for non-copying sends of numpy arrays that you plan to edit in-place. You need to know when it becomes safe to edit the buffer without corrupting the message. dv.targets : int, list of ints which targets this view is associated with. Creating a view is simple: index-access on a client creates a :class:`.DirectView`. .. sourcecode:: ipython In [4]: view = rc[1:3] Out[4]: In [5]: view.apply view.apply view.apply_async view.apply_sync For convenience, you can set block temporarily for a single call with the extra sync/async methods. Blocking execution ------------------ In blocking mode, the :class:`.DirectView` object (called ``dview`` in these examples) submits the command to the controller, which places the command in the engines' queues for execution. The :meth:`apply` call then blocks until the engines are done executing the command: .. sourcecode:: ipython In [2]: dview = rc[:] # A DirectView of all engines In [3]: dview.block=True In [4]: dview['a'] = 5 In [5]: dview['b'] = 10 In [6]: dview.apply(lambda x: a+b+x, 27) Out[6]: [42, 42, 42, 42] You can also select blocking execution on a call-by-call basis with the :meth:`apply_sync` method: .. sourcecode:: ipython In [7]: dview.block=False In [8]: dview.apply_sync(lambda x: a+b+x, 27) Out[8]: [42, 42, 42, 42] Python commands can be executed as strings on specific engines by using a View's ``execute`` method: .. sourcecode:: ipython In [6]: rc[::2].execute('c=a+b') In [7]: rc[1::2].execute('c=a-b') In [8]: dview['c'] # shorthand for dview.pull('c', block=True) Out[8]: [15, -5, 15, -5] Non-blocking execution ---------------------- In non-blocking mode, :meth:`apply` submits the command to be executed and then returns a :class:`AsyncResult` object immediately. The :class:`AsyncResult` object gives you a way of getting a result at a later time through its :meth:`get` method. .. seealso:: Docs on the :ref:`AsyncResult ` object. This allows you to quickly submit long running commands without blocking your local Python/IPython session: .. sourcecode:: ipython # define our function In [6]: def wait(t): ....: import time ....: tic = time.time() ....: time.sleep(t) ....: return time.time()-tic # In non-blocking mode In [7]: ar = dview.apply_async(wait, 2) # Now block for the result In [8]: ar.get() Out[8]: [2.0006198883056641, 1.9997570514678955, 1.9996809959411621, 2.0003249645233154] # Again in non-blocking mode In [9]: ar = dview.apply_async(wait, 10) # Poll to see if the result is ready In [10]: ar.ready() Out[10]: False # ask for the result, but wait a maximum of 1 second: In [45]: ar.get(1) --------------------------------------------------------------------------- TimeoutError Traceback (most recent call last) /home/you/ in () ----> 1 ar.get(1) /path/to/site-packages/IPython/parallel/asyncresult.pyc in get(self, timeout) 62 raise self._exception 63 else: ---> 64 raise error.TimeoutError("Result not ready.") 65 66 def ready(self): TimeoutError: Result not ready. .. Note:: Note the import inside the function. This is a common model, to ensure that the appropriate modules are imported where the task is run. You can also manually import modules into the engine(s) namespace(s) via :meth:`view.execute('import numpy')`. Often, it is desirable to wait until a set of :class:`AsyncResult` objects are done. For this, there is a the method :meth:`wait`. This method takes a tuple of :class:`AsyncResult` objects (or `msg_ids` or indices to the client's History), and blocks until all of the associated results are ready: .. sourcecode:: ipython In [72]: dview.block=False # A trivial list of AsyncResults objects In [73]: pr_list = [dview.apply_async(wait, 3) for i in range(10)] # Wait until all of them are done In [74]: dview.wait(pr_list) # Then, their results are ready using get() or the `.r` attribute In [75]: pr_list[0].get() Out[75]: [2.9982571601867676, 2.9982588291168213, 2.9987530708312988, 2.9990990161895752] The ``block`` and ``targets`` keyword arguments and attributes -------------------------------------------------------------- Most DirectView methods (excluding :meth:`apply`) accept ``block`` and ``targets`` as keyword arguments. As we have seen above, these keyword arguments control the blocking mode and which engines the command is applied to. The :class:`View` class also has :attr:`block` and :attr:`targets` attributes that control the default behavior when the keyword arguments are not provided. Thus the following logic is used for :attr:`block` and :attr:`targets`: * If no keyword argument is provided, the instance attributes are used. * The Keyword arguments, if provided overrides the instance attributes for the duration of a single call. The following examples demonstrate how to use the instance attributes: .. sourcecode:: ipython In [16]: dview.targets = [0,2] In [17]: dview.block = False In [18]: ar = dview.apply(lambda : 10) In [19]: ar.get() Out[19]: [10, 10] In [20]: dview.targets = rc.ids # all engines (4) In [21]: dview.block = True In [22]: dview.apply(lambda : 42) Out[22]: [42, 42, 42, 42] The :attr:`block` and :attr:`targets` instance attributes of the :class:`.DirectView` also determine the behavior of the parallel magic commands. .. seealso:: See the documentation of the :ref:`Parallel Magics `. Moving Python objects around ============================ In addition to calling functions and executing code on engines, you can transfer Python objects to and from your IPython session and the engines. In IPython, these operations are called :meth:`push` (sending an object to the engines) and :meth:`pull` (getting an object from the engines). Basic push and pull ------------------- Here are some examples of how you use :meth:`push` and :meth:`pull`: .. sourcecode:: ipython In [38]: dview.push(dict(a=1.03234,b=3453)) Out[38]: [None,None,None,None] In [39]: dview.pull('a') Out[39]: [ 1.03234, 1.03234, 1.03234, 1.03234] In [40]: dview.pull('b', targets=0) Out[40]: 3453 In [41]: dview.pull(('a','b')) Out[41]: [ [1.03234, 3453], [1.03234, 3453], [1.03234, 3453], [1.03234, 3453] ] In [42]: dview.push(dict(c='speed')) Out[42]: [None,None,None,None] In non-blocking mode :meth:`push` and :meth:`pull` also return :class:`AsyncResult` objects: .. sourcecode:: ipython In [48]: ar = dview.pull('a', block=False) In [49]: ar.get() Out[49]: [1.03234, 1.03234, 1.03234, 1.03234] Dictionary interface -------------------- Since a Python namespace is just a :class:`dict`, :class:`DirectView` objects provide dictionary-style access by key and methods such as :meth:`get` and :meth:`update` for convenience. This make the remote namespaces of the engines appear as a local dictionary. Underneath, these methods call :meth:`apply`: .. sourcecode:: ipython In [51]: dview['a']=['foo','bar'] In [52]: dview['a'] Out[52]: [ ['foo', 'bar'], ['foo', 'bar'], ['foo', 'bar'], ['foo', 'bar'] ] Scatter and gather ------------------ Sometimes it is useful to partition a sequence and push the partitions to different engines. In MPI language, this is know as scatter/gather and we follow that terminology. However, it is important to remember that in IPython's :class:`Client` class, :meth:`scatter` is from the interactive IPython session to the engines and :meth:`gather` is from the engines back to the interactive IPython session. For scatter/gather operations between engines, MPI, pyzmq, or some other direct interconnect should be used. .. sourcecode:: ipython In [58]: dview.scatter('a',range(16)) Out[58]: [None,None,None,None] In [59]: dview['a'] Out[59]: [ [0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11], [12, 13, 14, 15] ] In [60]: dview.gather('a') Out[60]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] Other things to look at ======================= How to do parallel list comprehensions -------------------------------------- In many cases list comprehensions are nicer than using the map function. While we don't have fully parallel list comprehensions, it is simple to get the basic effect using :meth:`scatter` and :meth:`gather`: .. sourcecode:: ipython In [66]: dview.scatter('x',range(64)) In [67]: %px y = [i**10 for i in x] Parallel execution on engines: [0, 1, 2, 3] In [68]: y = dview.gather('y') In [69]: print y [0, 1, 1024, 59049, 1048576, 9765625, 60466176, 282475249, 1073741824,...] Remote imports -------------- Sometimes you will want to import packages both in your interactive session and on your remote engines. This can be done with the :class:`ContextManager` created by a DirectView's :meth:`sync_imports` method: .. sourcecode:: ipython In [69]: with dview.sync_imports(): ....: import numpy importing numpy on engine(s) Any imports made inside the block will also be performed on the view's engines. sync_imports also takes a `local` boolean flag that defaults to True, which specifies whether the local imports should also be performed. However, support for `local=False` has not been implemented, so only packages that can be imported locally will work this way. You can also specify imports via the ``@require`` decorator. This is a decorator designed for use in Dependencies, but can be used to handle remote imports as well. Modules or module names passed to ``@require`` will be imported before the decorated function is called. If they cannot be imported, the decorated function will never execute and will fail with an UnmetDependencyError. Failures of single Engines will be collected and raise a CompositeError, as demonstrated in the next section. .. sourcecode:: ipython In [69]: from IPython.parallel import require In [70]: @require('re') ....: def findall(pat, x): ....: # re is guaranteed to be available ....: return re.findall(pat, x) # you can also pass modules themselves, that you already have locally: In [71]: @require(time) ....: def wait(t): ....: time.sleep(t) ....: return t .. note:: :func:`sync_imports` does not allow ``import foo as bar`` syntax, because the assignment represented by the ``as bar`` part is not available to the import hook. .. _parallel_exceptions: Parallel exceptions ------------------- In the multiengine interface, parallel commands can raise Python exceptions, just like serial commands. But it is a little subtle, because a single parallel command can actually raise multiple exceptions (one for each engine the command was run on). To express this idea, we have a :exc:`CompositeError` exception class that will be raised in most cases. The :exc:`CompositeError` class is a special type of exception that wraps one or more other types of exceptions. Here is how it works: .. sourcecode:: ipython In [78]: dview.block = True In [79]: dview.execute("1/0") [0:execute]: --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) ----> 1 1/0 ZeroDivisionError: integer division or modulo by zero [1:execute]: --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) ----> 1 1/0 ZeroDivisionError: integer division or modulo by zero [2:execute]: --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) ----> 1 1/0 ZeroDivisionError: integer division or modulo by zero [3:execute]: --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) ----> 1 1/0 ZeroDivisionError: integer division or modulo by zero Notice how the error message printed when :exc:`CompositeError` is raised has information about the individual exceptions that were raised on each engine. If you want, you can even raise one of these original exceptions: .. sourcecode:: ipython In [79]: from IPython.parallel import CompositeError In [80]: try: ....: dview.execute('1/0', block=True) ....: except CompositeError, e: ....: e.raise_exception() ....: ....: --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) ----> 1 1/0 ZeroDivisionError: integer division or modulo by zero If you are working in IPython, you can simple type ``%debug`` after one of these :exc:`CompositeError` exceptions is raised, and inspect the exception instance: .. sourcecode:: ipython In [81]: dview.execute('1/0') [0:execute]: --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) ----> 1 1/0 ZeroDivisionError: integer division or modulo by zero [1:execute]: --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) ----> 1 1/0 ZeroDivisionError: integer division or modulo by zero [2:execute]: --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) ----> 1 1/0 ZeroDivisionError: integer division or modulo by zero [3:execute]: --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) ----> 1 1/0 ZeroDivisionError: integer division or modulo by zero In [82]: %debug > /.../site-packages/IPython/parallel/client/asyncresult.py(125)get() 124 else: --> 125 raise self._exception 126 else: # Here, self._exception is the CompositeError instance: ipdb> e = self._exception ipdb> e CompositeError(4) # we can tab-complete on e to see available methods: ipdb> e. e.args e.message e.traceback e.elist e.msg e.ename e.print_traceback e.engine_info e.raise_exception e.evalue e.render_traceback # We can then display the individual tracebacks, if we want: ipdb> e.print_traceback(1) [1:execute]: --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) ----> 1 1/0 ZeroDivisionError: integer division or modulo by zero Since you might have 100 engines, you probably don't want to see 100 tracebacks for a simple NameError because of a typo. For this reason, CompositeError truncates the list of exceptions it will print to :attr:`CompositeError.tb_limit` (default is five). You can change this limit to suit your needs with: .. sourcecode:: ipython In [20]: from IPython.parallel import CompositeError In [21]: CompositeError.tb_limit = 1 In [22]: %px x=z [0:execute]: --------------------------------------------------------------------------- NameError Traceback (most recent call last) ----> 1 x=z NameError: name 'z' is not defined ... 3 more exceptions ... All of this same error handling magic even works in non-blocking mode: .. sourcecode:: ipython In [83]: dview.block=False In [84]: ar = dview.execute('1/0') In [85]: ar.get() [0:execute]: --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) ----> 1 1/0 ZeroDivisionError: integer division or modulo by zero ... 3 more exceptions ... ipython-2.4.1/docs/source/parallel/parallel_process.rst0000644000076500000000000010447712466235755023612 0ustar minrkwheel00000000000000.. _parallel_process: =========================================== Starting the IPython controller and engines =========================================== To use IPython for parallel computing, you need to start one instance of the controller and one or more instances of the engine. The controller and each engine can run on different machines or on the same machine. Because of this, there are many different possibilities. Broadly speaking, there are two ways of going about starting a controller and engines: * In an automated manner using the :command:`ipcluster` command. * In a more manual way using the :command:`ipcontroller` and :command:`ipengine` commands. This document describes both of these methods. We recommend that new users start with the :command:`ipcluster` command as it simplifies many common usage cases. General considerations ====================== Before delving into the details about how you can start a controller and engines using the various methods, we outline some of the general issues that come up when starting the controller and engines. These things come up no matter which method you use to start your IPython cluster. If you are running engines on multiple machines, you will likely need to instruct the controller to listen for connections on an external interface. This can be done by specifying the ``ip`` argument on the command-line, or the ``HubFactory.ip`` configurable in :file:`ipcontroller_config.py`. If your machines are on a trusted network, you can safely instruct the controller to listen on all interfaces with:: $> ipcontroller --ip=* Or you can set the same behavior as the default by adding the following line to your :file:`ipcontroller_config.py`: .. sourcecode:: python c.HubFactory.ip = '*' # c.HubFactory.location = '10.0.1.1' .. note:: ``--ip=*`` instructs ZeroMQ to listen on all interfaces, but it does not contain the IP needed for engines / clients to know where the controller actually is. This can be specified with ``--location=10.0.0.1``, the specific IP address of the controller, as seen from engines and/or clients. IPython tries to guess this value by default, but it will not always guess correctly. Check the ``location`` field in your connection files if you are having connection trouble. .. note:: Due to the lack of security in ZeroMQ, the controller will only listen for connections on localhost by default. If you see Timeout errors on engines or clients, then the first thing you should check is the ip address the controller is listening on, and make sure that it is visible from the timing out machine. .. seealso:: Our `notes `_ on security in the new parallel computing code. Let's say that you want to start the controller on ``host0`` and engines on hosts ``host1``-``hostn``. The following steps are then required: 1. Start the controller on ``host0`` by running :command:`ipcontroller` on ``host0``. The controller must be instructed to listen on an interface visible to the engine machines, via the ``ip`` command-line argument or ``HubFactory.ip`` in :file:`ipcontroller_config.py`. 2. Move the JSON file (:file:`ipcontroller-engine.json`) created by the controller from ``host0`` to hosts ``host1``-``hostn``. 3. Start the engines on hosts ``host1``-``hostn`` by running :command:`ipengine`. This command has to be told where the JSON file (:file:`ipcontroller-engine.json`) is located. At this point, the controller and engines will be connected. By default, the JSON files created by the controller are put into the :file:`IPYTHONDIR/profile_default/security` directory. If the engines share a filesystem with the controller, step 2 can be skipped as the engines will automatically look at that location. The final step required to actually use the running controller from a client is to move the JSON file :file:`ipcontroller-client.json` from ``host0`` to any host where clients will be run. If these file are put into the :file:`IPYTHONDIR/profile_default/security` directory of the client's host, they will be found automatically. Otherwise, the full path to them has to be passed to the client's constructor. Using :command:`ipcluster` =========================== The :command:`ipcluster` command provides a simple way of starting a controller and engines in the following situations: 1. When the controller and engines are all run on localhost. This is useful for testing or running on a multicore computer. 2. When engines are started using the :command:`mpiexec` command that comes with most MPI [MPI]_ implementations 3. When engines are started using the PBS [PBS]_ batch system (or other `qsub` systems, such as SGE). 4. When the controller is started on localhost and the engines are started on remote nodes using :command:`ssh`. 5. When engines are started using the Windows HPC Server batch system. .. note:: Currently :command:`ipcluster` requires that the :file:`IPYTHONDIR/profile_/security` directory live on a shared filesystem that is seen by both the controller and engines. If you don't have a shared file system you will need to use :command:`ipcontroller` and :command:`ipengine` directly. Under the hood, :command:`ipcluster` just uses :command:`ipcontroller` and :command:`ipengine` to perform the steps described above. The simplest way to use ipcluster requires no configuration, and will launch a controller and a number of engines on the local machine. For instance, to start one controller and 4 engines on localhost, just do:: $ ipcluster start -n 4 To see other command line options, do:: $ ipcluster -h Configuring an IPython cluster ============================== Cluster configurations are stored as `profiles`. You can create a new profile with:: $ ipython profile create --parallel --profile=myprofile This will create the directory :file:`IPYTHONDIR/profile_myprofile`, and populate it with the default configuration files for the three IPython cluster commands. Once you edit those files, you can continue to call ipcluster/ipcontroller/ipengine with no arguments beyond ``profile=myprofile``, and any configuration will be maintained. There is no limit to the number of profiles you can have, so you can maintain a profile for each of your common use cases. The default profile will be used whenever the profile argument is not specified, so edit :file:`IPYTHONDIR/profile_default/*_config.py` to represent your most common use case. The configuration files are loaded with commented-out settings and explanations, which should cover most of the available possibilities. Using various batch systems with :command:`ipcluster` ----------------------------------------------------- :command:`ipcluster` has a notion of Launchers that can start controllers and engines with various remote execution schemes. Currently supported models include :command:`ssh`, :command:`mpiexec`, PBS-style (Torque, SGE, LSF), and Windows HPC Server. In general, these are configured by the :attr:`IPClusterEngines.engine_set_launcher_class`, and :attr:`IPClusterStart.controller_launcher_class` configurables, which can be the fully specified object name (e.g. ``'IPython.parallel.apps.launcher.LocalControllerLauncher'``), but if you are using IPython's builtin launchers, you can specify just the class name, or even just the prefix e.g: .. sourcecode:: python c.IPClusterEngines.engine_launcher_class = 'SSH' # equivalent to c.IPClusterEngines.engine_launcher_class = 'SSHEngineSetLauncher' # both of which expand to c.IPClusterEngines.engine_launcher_class = 'IPython.parallel.apps.launcher.SSHEngineSetLauncher' The shortest form being of particular use on the command line, where all you need to do to get an IPython cluster running with engines started with MPI is: .. sourcecode:: bash $> ipcluster start --engines=MPI Assuming that the default MPI config is sufficient. .. note:: shortcuts for builtin launcher names were added in 0.12, as was the ``_class`` suffix on the configurable names. If you use the old 0.11 names (e.g. ``engine_set_launcher``), they will still work, but you will get a deprecation warning that the name has changed. .. note:: The Launchers and configuration are designed in such a way that advanced users can subclass and configure them to fit their own system that we have not yet supported (such as Condor) Using :command:`ipcluster` in mpiexec/mpirun mode ------------------------------------------------- The mpiexec/mpirun mode is useful if you: 1. Have MPI installed. 2. Your systems are configured to use the :command:`mpiexec` or :command:`mpirun` commands to start MPI processes. If these are satisfied, you can create a new profile:: $ ipython profile create --parallel --profile=mpi and edit the file :file:`IPYTHONDIR/profile_mpi/ipcluster_config.py`. There, instruct ipcluster to use the MPI launchers by adding the lines: .. sourcecode:: python c.IPClusterEngines.engine_launcher_class = 'MPIEngineSetLauncher' If the default MPI configuration is correct, then you can now start your cluster, with:: $ ipcluster start -n 4 --profile=mpi This does the following: 1. Starts the IPython controller on current host. 2. Uses :command:`mpiexec` to start 4 engines. If you have a reason to also start the Controller with mpi, you can specify: .. sourcecode:: python c.IPClusterStart.controller_launcher_class = 'MPIControllerLauncher' .. note:: The Controller *will not* be in the same MPI universe as the engines, so there is not much reason to do this unless sysadmins demand it. On newer MPI implementations (such as OpenMPI), this will work even if you don't make any calls to MPI or call :func:`MPI_Init`. However, older MPI implementations actually require each process to call :func:`MPI_Init` upon starting. The easiest way of having this done is to install the mpi4py [mpi4py]_ package and then specify the ``c.MPI.use`` option in :file:`ipengine_config.py`: .. sourcecode:: python c.MPI.use = 'mpi4py' Unfortunately, even this won't work for some MPI implementations. If you are having problems with this, you will likely have to use a custom Python executable that itself calls :func:`MPI_Init` at the appropriate time. Fortunately, mpi4py comes with such a custom Python executable that is easy to install and use. However, this custom Python executable approach will not work with :command:`ipcluster` currently. More details on using MPI with IPython can be found :ref:`here `. Using :command:`ipcluster` in PBS mode -------------------------------------- The PBS mode uses the Portable Batch System (PBS) to start the engines. As usual, we will start by creating a fresh profile:: $ ipython profile create --parallel --profile=pbs And in :file:`ipcluster_config.py`, we will select the PBS launchers for the controller and engines: .. sourcecode:: python c.IPClusterStart.controller_launcher_class = 'PBSControllerLauncher' c.IPClusterEngines.engine_launcher_class = 'PBSEngineSetLauncher' .. note:: Note that the configurable is IPClusterEngines for the engine launcher, and IPClusterStart for the controller launcher. This is because the start command is a subclass of the engine command, adding a controller launcher. Since it is a subclass, any configuration made in IPClusterEngines is inherited by IPClusterStart unless it is overridden. IPython does provide simple default batch templates for PBS and SGE, but you may need to specify your own. Here is a sample PBS script template: .. sourcecode:: bash #PBS -N ipython #PBS -j oe #PBS -l walltime=00:10:00 #PBS -l nodes={n/4}:ppn=4 #PBS -q {queue} cd $PBS_O_WORKDIR export PATH=$HOME/usr/local/bin export PYTHONPATH=$HOME/usr/local/lib/python2.7/site-packages /usr/local/bin/mpiexec -n {n} ipengine --profile-dir={profile_dir} There are a few important points about this template: 1. This template will be rendered at runtime using IPython's :class:`EvalFormatter`. This is simply a subclass of :class:`string.Formatter` that allows simple expressions on keys. 2. Instead of putting in the actual number of engines, use the notation ``{n}`` to indicate the number of engines to be started. You can also use expressions like ``{n/4}`` in the template to indicate the number of nodes. There will always be ``{n}`` and ``{profile_dir}`` variables passed to the formatter. These allow the batch system to know how many engines, and where the configuration files reside. The same is true for the batch queue, with the template variable ``{queue}``. 3. Any options to :command:`ipengine` can be given in the batch script template, or in :file:`ipengine_config.py`. 4. Depending on the configuration of you system, you may have to set environment variables in the script template. The controller template should be similar, but simpler: .. sourcecode:: bash #PBS -N ipython #PBS -j oe #PBS -l walltime=00:10:00 #PBS -l nodes=1:ppn=4 #PBS -q {queue} cd $PBS_O_WORKDIR export PATH=$HOME/usr/local/bin export PYTHONPATH=$HOME/usr/local/lib/python2.7/site-packages ipcontroller --profile-dir={profile_dir} Once you have created these scripts, save them with names like :file:`pbs.engine.template`. Now you can load them into the :file:`ipcluster_config` with: .. sourcecode:: python c.PBSEngineSetLauncher.batch_template_file = "pbs.engine.template" c.PBSControllerLauncher.batch_template_file = "pbs.controller.template" Alternately, you can just define the templates as strings inside :file:`ipcluster_config`. Whether you are using your own templates or our defaults, the extra configurables available are the number of engines to launch (``{n}``, and the batch system queue to which the jobs are to be submitted (``{queue}``)). These are configurables, and can be specified in :file:`ipcluster_config`: .. sourcecode:: python c.PBSLauncher.queue = 'veryshort.q' c.IPClusterEngines.n = 64 Note that assuming you are running PBS on a multi-node cluster, the Controller's default behavior of listening only on localhost is likely too restrictive. In this case, also assuming the nodes are safely behind a firewall, you can simply instruct the Controller to listen for connections on all its interfaces, by adding in :file:`ipcontroller_config`: .. sourcecode:: python c.HubFactory.ip = '*' You can now run the cluster with:: $ ipcluster start --profile=pbs -n 128 Additional configuration options can be found in the PBS section of :file:`ipcluster_config`. .. note:: Due to the flexibility of configuration, the PBS launchers work with simple changes to the template for other :command:`qsub`-using systems, such as Sun Grid Engine, and with further configuration in similar batch systems like Condor. Using :command:`ipcluster` in SSH mode -------------------------------------- The SSH mode uses :command:`ssh` to execute :command:`ipengine` on remote nodes and :command:`ipcontroller` can be run remotely as well, or on localhost. .. note:: When using this mode it highly recommended that you have set up SSH keys and are using ssh-agent [SSH]_ for password-less logins. As usual, we start by creating a clean profile:: $ ipython profile create --parallel --profile=ssh To use this mode, select the SSH launchers in :file:`ipcluster_config.py`: .. sourcecode:: python c.IPClusterEngines.engine_launcher_class = 'SSHEngineSetLauncher' # and if the Controller is also to be remote: c.IPClusterStart.controller_launcher_class = 'SSHControllerLauncher' The controller's remote location and configuration can be specified: .. sourcecode:: python # Set the user and hostname for the controller # c.SSHControllerLauncher.hostname = 'controller.example.com' # c.SSHControllerLauncher.user = os.environ.get('USER','username') # Set the arguments to be passed to ipcontroller # note that remotely launched ipcontroller will not get the contents of # the local ipcontroller_config.py unless it resides on the *remote host* # in the location specified by the `profile-dir` argument. # c.SSHControllerLauncher.controller_args = ['--reuse', '--ip=*', '--profile-dir=/path/to/cd'] Engines are specified in a dictionary, by hostname and the number of engines to be run on that host. .. sourcecode:: python c.SSHEngineSetLauncher.engines = { 'host1.example.com' : 2, 'host2.example.com' : 5, 'host3.example.com' : (1, ['--profile-dir=/home/different/location']), 'host4.example.com' : 8 } * The `engines` dict, where the keys are the host we want to run engines on and the value is the number of engines to run on that host. * on host3, the value is a tuple, where the number of engines is first, and the arguments to be passed to :command:`ipengine` are the second element. For engines without explicitly specified arguments, the default arguments are set in a single location: .. sourcecode:: python c.SSHEngineSetLauncher.engine_args = ['--profile-dir=/path/to/profile_ssh'] Current limitations of the SSH mode of :command:`ipcluster` are: * Untested and unsupported on Windows. Would require a working :command:`ssh` on Windows. Also, we are using shell scripts to setup and execute commands on remote hosts. Moving files with SSH ********************* SSH launchers will try to move connection files, controlled by the ``to_send`` and ``to_fetch`` configurables. If your machines are on a shared filesystem, this step is unnecessary, and can be skipped by setting these to empty lists: .. sourcecode:: python c.SSHLauncher.to_send = [] c.SSHLauncher.to_fetch = [] If our default guesses about paths don't work for you, or other files should be moved, you can manually specify these lists as tuples of (local_path, remote_path) for to_send, and (remote_path, local_path) for to_fetch. If you do specify these lists explicitly, IPython *will not* automatically send connection files, so you must include this yourself if they should still be sent/retrieved. IPython on EC2 with StarCluster =============================== The excellent StarCluster_ toolkit for managing `Amazon EC2`_ clusters has a plugin which makes deploying IPython on EC2 quite simple. The starcluster plugin uses :command:`ipcluster` with the SGE launchers to distribute engines across the EC2 cluster. See their `ipcluster plugin documentation`_ for more information. .. _StarCluster: http://web.mit.edu/starcluster .. _Amazon EC2: http://aws.amazon.com/ec2/ .. _ipcluster plugin documentation: http://web.mit.edu/starcluster/docs/latest/plugins/ipython.html Using the :command:`ipcontroller` and :command:`ipengine` commands ================================================================== It is also possible to use the :command:`ipcontroller` and :command:`ipengine` commands to start your controller and engines. This approach gives you full control over all aspects of the startup process. Starting the controller and engine on your local machine -------------------------------------------------------- To use :command:`ipcontroller` and :command:`ipengine` to start things on your local machine, do the following. First start the controller:: $ ipcontroller Next, start however many instances of the engine you want using (repeatedly) the command:: $ ipengine The engines should start and automatically connect to the controller using the JSON files in :file:`IPYTHONDIR/profile_default/security`. You are now ready to use the controller and engines from IPython. .. warning:: The order of the above operations may be important. You *must* start the controller before the engines, unless you are reusing connection information (via ``--reuse``), in which case ordering is not important. .. note:: On some platforms (OS X), to put the controller and engine into the background you may need to give these commands in the form ``(ipcontroller &)`` and ``(ipengine &)`` (with the parentheses) for them to work properly. Starting the controller and engines on different hosts ------------------------------------------------------ When the controller and engines are running on different hosts, things are slightly more complicated, but the underlying ideas are the same: 1. Start the controller on a host using :command:`ipcontroller`. The controller must be instructed to listen on an interface visible to the engine machines, via the ``ip`` command-line argument or ``HubFactory.ip`` in :file:`ipcontroller_config.py`:: $ ipcontroller --ip=192.168.1.16 .. sourcecode:: python # in ipcontroller_config.py HubFactory.ip = '192.168.1.16' 2. Copy :file:`ipcontroller-engine.json` from :file:`IPYTHONDIR/profile_/security` on the controller's host to the host where the engines will run. 3. Use :command:`ipengine` on the engine's hosts to start the engines. The only thing you have to be careful of is to tell :command:`ipengine` where the :file:`ipcontroller-engine.json` file is located. There are two ways you can do this: * Put :file:`ipcontroller-engine.json` in the :file:`IPYTHONDIR/profile_/security` directory on the engine's host, where it will be found automatically. * Call :command:`ipengine` with the ``--file=full_path_to_the_file`` flag. The ``file`` flag works like this:: $ ipengine --file=/path/to/my/ipcontroller-engine.json .. note:: If the controller's and engine's hosts all have a shared file system (:file:`IPYTHONDIR/profile_/security` is the same on all of them), then things will just work! SSH Tunnels *********** If your engines are not on the same LAN as the controller, or you are on a highly restricted network where your nodes cannot see each others ports, then you can use SSH tunnels to connect engines to the controller. .. note:: This does not work in all cases. Manual tunnels may be an option, but are highly inconvenient. Support for manual tunnels will be improved. You can instruct all engines to use ssh, by specifying the ssh server in :file:`ipcontroller-engine.json`: .. I know this is really JSON, but the example is a subset of Python: .. sourcecode:: python { "url":"tcp://192.168.1.123:56951", "exec_key":"26f4c040-587d-4a4e-b58b-030b96399584", "ssh":"user@example.com", "location":"192.168.1.123" } This will be specified if you give the ``--enginessh=use@example.com`` argument when starting :command:`ipcontroller`. Or you can specify an ssh server on the command-line when starting an engine:: $> ipengine --profile=foo --ssh=my.login.node For example, if your system is totally restricted, then all connections will actually be loopback, and ssh tunnels will be used to connect engines to the controller:: [node1] $> ipcontroller --enginessh=node1 [node2] $> ipengine [node3] $> ipcluster engines --n=4 Or if you want to start many engines on each node, the command `ipcluster engines --n=4` without any configuration is equivalent to running ipengine 4 times. An example using ipcontroller/engine with ssh --------------------------------------------- No configuration files are necessary to use ipcontroller/engine in an SSH environment without a shared filesystem. You simply need to make sure that the controller is listening on an interface visible to the engines, and move the connection file from the controller to the engines. 1. start the controller, listening on an ip-address visible to the engine machines:: [controller.host] $ ipcontroller --ip=192.168.1.16 [IPControllerApp] Using existing profile dir: u'/Users/me/.ipython/profile_default' [IPControllerApp] Hub listening on tcp://192.168.1.16:63320 for registration. [IPControllerApp] Hub using DB backend: 'IPython.parallel.controller.dictdb.DictDB' [IPControllerApp] hub::created hub [IPControllerApp] writing connection info to /Users/me/.ipython/profile_default/security/ipcontroller-client.json [IPControllerApp] writing connection info to /Users/me/.ipython/profile_default/security/ipcontroller-engine.json [IPControllerApp] task::using Python leastload Task scheduler [IPControllerApp] Heartmonitor started [IPControllerApp] Creating pid file: /Users/me/.ipython/profile_default/pid/ipcontroller.pid Scheduler started [leastload] 2. on each engine, fetch the connection file with scp:: [engine.host.n] $ scp controller.host:.ipython/profile_default/security/ipcontroller-engine.json ./ .. note:: The log output of ipcontroller above shows you where the json files were written. They will be in :file:`~/.ipython` under :file:`profile_default/security/ipcontroller-engine.json` 3. start the engines, using the connection file:: [engine.host.n] $ ipengine --file=./ipcontroller-engine.json A couple of notes: * You can avoid having to fetch the connection file every time by adding ``--reuse`` flag to ipcontroller, which instructs the controller to read the previous connection file for connection info, rather than generate a new one with randomized ports. * In step 2, if you fetch the connection file directly into the security dir of a profile, then you need not specify its path directly, only the profile (assumes the path exists, otherwise you must create it first):: [engine.host.n] $ scp controller.host:.ipython/profile_default/security/ipcontroller-engine.json ~/.ipython/profile_ssh/security/ [engine.host.n] $ ipengine --profile=ssh Of course, if you fetch the file into the default profile, no arguments must be passed to ipengine at all. * Note that ipengine *did not* specify the ip argument. In general, it is unlikely for any connection information to be specified at the command-line to ipengine, as all of this information should be contained in the connection file written by ipcontroller. Make JSON files persistent -------------------------- At fist glance it may seem that that managing the JSON files is a bit annoying. Going back to the house and key analogy, copying the JSON around each time you start the controller is like having to make a new key every time you want to unlock the door and enter your house. As with your house, you want to be able to create the key (or JSON file) once, and then simply use it at any point in the future. To do this, the only thing you have to do is specify the `--reuse` flag, so that the connection information in the JSON files remains accurate:: $ ipcontroller --reuse Then, just copy the JSON files over the first time and you are set. You can start and stop the controller and engines any many times as you want in the future, just make sure to tell the controller to reuse the file. .. note:: You may ask the question: what ports does the controller listen on if you don't tell is to use specific ones? The default is to use high random port numbers. We do this for two reasons: i) to increase security through obscurity and ii) to multiple controllers on a given host to start and automatically use different ports. Log files --------- All of the components of IPython have log files associated with them. These log files can be extremely useful in debugging problems with IPython and can be found in the directory :file:`IPYTHONDIR/profile_/log`. Sending the log files to us will often help us to debug any problems. Configuring `ipcontroller` --------------------------- The IPython Controller takes its configuration from the file :file:`ipcontroller_config.py` in the active profile directory. Ports and addresses ******************* In many cases, you will want to configure the Controller's network identity. By default, the Controller listens only on loopback, which is the most secure but often impractical. To instruct the controller to listen on a specific interface, you can set the :attr:`HubFactory.ip` trait. To listen on all interfaces, simply specify: .. sourcecode:: python c.HubFactory.ip = '*' When connecting to a Controller that is listening on loopback or behind a firewall, it may be necessary to specify an SSH server to use for tunnels, and the external IP of the Controller. If you specified that the HubFactory listen on loopback, or all interfaces, then IPython will try to guess the external IP. If you are on a system with VM network devices, or many interfaces, this guess may be incorrect. In these cases, you will want to specify the 'location' of the Controller. This is the IP of the machine the Controller is on, as seen by the clients, engines, or the SSH server used to tunnel connections. For example, to set up a cluster with a Controller on a work node, using ssh tunnels through the login node, an example :file:`ipcontroller_config.py` might contain: .. sourcecode:: python # allow connections on all interfaces from engines # engines on the same node will use loopback, while engines # from other nodes will use an external IP c.HubFactory.ip = '*' # you typically only need to specify the location when there are extra # interfaces that may not be visible to peer nodes (e.g. VM interfaces) c.HubFactory.location = '10.0.1.5' # or to get an automatic value, try this: import socket hostname = socket.gethostname() # alternate choices for hostname include `socket.getfqdn()` # or `socket.gethostname() + '.local'` ex_ip = socket.gethostbyname_ex(hostname)[-1][-1] c.HubFactory.location = ex_ip # now instruct clients to use the login node for SSH tunnels: c.HubFactory.ssh_server = 'login.mycluster.net' After doing this, your :file:`ipcontroller-client.json` file will look something like this: .. this can be Python, despite the fact that it's actually JSON, because it's .. still valid Python .. sourcecode:: python { "url":"tcp:\/\/*:43447", "exec_key":"9c7779e4-d08a-4c3b-ba8e-db1f80b562c1", "ssh":"login.mycluster.net", "location":"10.0.1.5" } Then this file will be all you need for a client to connect to the controller, tunneling SSH connections through login.mycluster.net. Database Backend **************** The Hub stores all messages and results passed between Clients and Engines. For large and/or long-running clusters, it would be unreasonable to keep all of this information in memory. For this reason, we have two database backends: [MongoDB]_ via PyMongo_, and SQLite with the stdlib :py:mod:`sqlite`. MongoDB is our design target, and the dict-like model it uses has driven our design. As far as we are concerned, BSON can be considered essentially the same as JSON, adding support for binary data and datetime objects, and any new database backend must support the same data types. .. seealso:: MongoDB `BSON doc `_ To use one of these backends, you must set the :attr:`HubFactory.db_class` trait: .. sourcecode:: python # for a simple dict-based in-memory implementation, use dictdb # This is the default and the fastest, since it doesn't involve the filesystem c.HubFactory.db_class = 'IPython.parallel.controller.dictdb.DictDB' # To use MongoDB: c.HubFactory.db_class = 'IPython.parallel.controller.mongodb.MongoDB' # and SQLite: c.HubFactory.db_class = 'IPython.parallel.controller.sqlitedb.SQLiteDB' # You can use NoDB to disable the database altogether, in case you don't need # to reuse tasks or results, and want to keep memory consumption under control. c.HubFactory.db_class = 'IPython.parallel.controller.dictdb.NoDB' When using the proper databases, you can actually allow for tasks to persist from one session to the next by specifying the MongoDB database or SQLite table in which tasks are to be stored. The default is to use a table named for the Hub's Session, which is a UUID, and thus different every time. .. sourcecode:: python # To keep persistent task history in MongoDB: c.MongoDB.database = 'tasks' # and in SQLite: c.SQLiteDB.table = 'tasks' Since MongoDB servers can be running remotely or configured to listen on a particular port, you can specify any arguments you may need to the PyMongo `Connection `_: .. sourcecode:: python # positional args to pymongo.Connection c.MongoDB.connection_args = [] # keyword args to pymongo.Connection c.MongoDB.connection_kwargs = {} But sometimes you are moving lots of data around quickly, and you don't need that information to be stored for later access, even by other Clients to this same session. For this case, we have a dummy database, which doesn't actually store anything. This lets the Hub stay small in memory, at the obvious expense of being able to access the information that would have been stored in the database (used for task resubmission, requesting results of tasks you didn't submit, etc.). To use this backend, simply pass ``--nodb`` to :command:`ipcontroller` on the command-line, or specify the :class:`NoDB` class in your :file:`ipcontroller_config.py` as described above. .. seealso:: For more information on the database backends, see the :ref:`db backend reference `. .. _PyMongo: http://api.mongodb.org/python/1.9/ Configuring `ipengine` ----------------------- The IPython Engine takes its configuration from the file :file:`ipengine_config.py` The Engine itself also has some amount of configuration. Most of this has to do with initializing MPI or connecting to the controller. To instruct the Engine to initialize with an MPI environment set up by mpi4py, add: .. sourcecode:: python c.MPI.use = 'mpi4py' In this case, the Engine will use our default mpi4py init script to set up the MPI environment prior to execution. We have default init scripts for mpi4py and pytrilinos. If you want to specify your own code to be run at the beginning, specify `c.MPI.init_script`. You can also specify a file or python command to be run at startup of the Engine: .. sourcecode:: python c.IPEngineApp.startup_script = u'/path/to/my/startup.py' c.IPEngineApp.startup_command = 'import numpy, scipy, mpi4py' These commands/files will be run again, after each It's also useful on systems with shared filesystems to run the engines in some scratch directory. This can be set with: .. sourcecode:: python c.IPEngineApp.work_dir = u'/path/to/scratch/' .. [MongoDB] MongoDB database http://www.mongodb.org .. [PBS] Portable Batch System http://www.openpbs.org .. [SSH] SSH-Agent http://en.wikipedia.org/wiki/ssh-agent ipython-2.4.1/docs/source/parallel/parallel_security.rst0000644000076500000000000002725412466235755024000 0ustar minrkwheel00000000000000.. _parallelsecurity: =========================== Security details of IPython =========================== .. note:: This section is not thorough, and IPython.kernel.zmq needs a thorough security audit. IPython's :mod:`IPython.kernel.zmq` package exposes the full power of the Python interpreter over a TCP/IP network for the purposes of parallel computing. This feature brings up the important question of IPython's security model. This document gives details about this model and how it is implemented in IPython's architecture. Process and network topology ============================ To enable parallel computing, IPython has a number of different processes that run. These processes are discussed at length in the IPython documentation and are summarized here: * The IPython *engine*. This process is a full blown Python interpreter in which user code is executed. Multiple engines are started to make parallel computing possible. * The IPython *hub*. This process monitors a set of engines and schedulers, and keeps track of the state of the processes. It listens for registration connections from engines and clients, and monitor connections from schedulers. * The IPython *schedulers*. This is a set of processes that relay commands and results between clients and engines. They are typically on the same machine as the controller, and listen for connections from engines and clients, but connect to the Hub. * The IPython *client*. This process is typically an interactive Python process that is used to coordinate the engines to get a parallel computation done. Collectively, these processes are called the IPython *cluster*, and the hub and schedulers together are referred to as the *controller*. These processes communicate over any transport supported by ZeroMQ (tcp,pgm,infiniband,ipc) with a well defined topology. The IPython hub and schedulers listen on sockets. Upon starting, an engine connects to a hub and registers itself, which then informs the engine of the connection information for the schedulers, and the engine then connects to the schedulers. These engine/hub and engine/scheduler connections persist for the lifetime of each engine. The IPython client also connects to the controller processes using a number of socket connections. As of writing, this is one socket per scheduler (4), and 3 connections to the hub for a total of 7. These connections persist for the lifetime of the client only. A given IPython controller and set of engines engines typically has a relatively short lifetime. Typically this lifetime corresponds to the duration of a single parallel simulation performed by a single user. Finally, the hub, schedulers, engines, and client processes typically execute with the permissions of that same user. More specifically, the controller and engines are *not* executed as root or with any other superuser permissions. Application logic ================= When running the IPython kernel to perform a parallel computation, a user utilizes the IPython client to send Python commands and data through the IPython schedulers to the IPython engines, where those commands are executed and the data processed. The design of IPython ensures that the client is the only access point for the capabilities of the engines. That is, the only way of addressing the engines is through a client. A user can utilize the client to instruct the IPython engines to execute arbitrary Python commands. These Python commands can include calls to the system shell, access the filesystem, etc., as required by the user's application code. From this perspective, when a user runs an IPython engine on a host, that engine has the same capabilities and permissions as the user themselves (as if they were logged onto the engine's host with a terminal). Secure network connections ========================== Overview -------- ZeroMQ provides exactly no security. For this reason, users of IPython must be very careful in managing connections, because an open TCP/IP socket presents access to arbitrary execution as the user on the engine machines. As a result, the default behavior of controller processes is to only listen for clients on the loopback interface, and the client must establish SSH tunnels to connect to the controller processes. .. warning:: If the controller's loopback interface is untrusted, then IPython should be considered vulnerable, and this extends to the loopback of all connected clients, which have opened a loopback port that is redirected to the controller's loopback port. SSH --- Since ZeroMQ provides no security, SSH tunnels are the primary source of secure connections. A connector file, such as `ipcontroller-client.json`, will contain information for connecting to the controller, possibly including the address of an ssh-server through with the client is to tunnel. The Client object then creates tunnels using either [OpenSSH]_ or [Paramiko]_, depending on the platform. If users do not wish to use OpenSSH or Paramiko, or the tunneling utilities are insufficient, then they may construct the tunnels themselves, and simply connect clients and engines as if the controller were on loopback on the connecting machine. Authentication -------------- To protect users of shared machines, [HMAC]_ digests are used to sign messages, using a shared key. The Session object that handles the message protocol uses a unique key to verify valid messages. This can be any value specified by the user, but the default behavior is a pseudo-random 128-bit number, as generated by `uuid.uuid4()`. This key is used to initialize an HMAC object, which digests all messages, and includes that digest as a signature and part of the message. Every message that is unpacked (on Controller, Engine, and Client) will also be digested by the receiver, ensuring that the sender's key is the same as the receiver's. No messages that do not contain this key are acted upon in any way. The key itself is never sent over the network. There is exactly one shared key per cluster - it must be the same everywhere. Typically, the controller creates this key, and stores it in the private connection files `ipython-{engine|client}.json`. These files are typically stored in the `~/.ipython/profile_/security` directory, and are maintained as readable only by the owner, just as is common practice with a user's keys in their `.ssh` directory. .. warning:: It is important to note that the signatures protect against unauthorized messages, but, as there is no encryption, provide exactly no protection of data privacy. It is possible, however, to use a custom serialization scheme (via Session.packer/unpacker traits) that does incorporate your own encryption scheme. Specific security vulnerabilities ================================= There are a number of potential security vulnerabilities present in IPython's architecture. In this section we discuss those vulnerabilities and detail how the security architecture described above prevents them from being exploited. Unauthorized clients -------------------- The IPython client can instruct the IPython engines to execute arbitrary Python code with the permissions of the user who started the engines. If an attacker were able to connect their own hostile IPython client to the IPython controller, they could instruct the engines to execute code. On the first level, this attack is prevented by requiring access to the controller's ports, which are recommended to only be open on loopback if the controller is on an untrusted local network. If the attacker does have access to the Controller's ports, then the attack is prevented by the capabilities based client authentication of the execution key. The relevant authentication information is encoded into the JSON file that clients must present to gain access to the IPython controller. By limiting the distribution of those keys, a user can grant access to only authorized persons, just as with SSH keys. It is highly unlikely that an execution key could be guessed by an attacker in a brute force guessing attack. A given instance of the IPython controller only runs for a relatively short amount of time (on the order of hours). Thus an attacker would have only a limited amount of time to test a search space of size 2**128. For added security, users can have arbitrarily long keys. .. warning:: If the attacker has gained enough access to intercept loopback connections on *either* the controller or client, then a duplicate message can be sent. To protect against this, recipients only allow each signature once, and consider duplicates invalid. However, the duplicate message could be sent to *another* recipient using the same key, and it would be considered valid. Unauthorized engines -------------------- If an attacker were able to connect a hostile engine to a user's controller, the user might unknowingly send sensitive code or data to the hostile engine. This attacker's engine would then have full access to that code and data. This type of attack is prevented in the same way as the unauthorized client attack, through the usage of the capabilities based authentication scheme. Unauthorized controllers ------------------------ It is also possible that an attacker could try to convince a user's IPython client or engine to connect to a hostile IPython controller. That controller would then have full access to the code and data sent between the IPython client and the IPython engines. Again, this attack is prevented through the capabilities in a connection file, which ensure that a client or engine connects to the correct controller. It is also important to note that the connection files also encode the IP address and port that the controller is listening on, so there is little chance of mistakenly connecting to a controller running on a different IP address and port. When starting an engine or client, a user must specify the key to use for that connection. Thus, in order to introduce a hostile controller, the attacker must convince the user to use the key associated with the hostile controller. As long as a user is diligent in only using keys from trusted sources, this attack is not possible. .. note:: I may be wrong, the unauthorized controller may be easier to fake than this. Other security measures ======================= A number of other measures are taken to further limit the security risks involved in running the IPython kernel. First, by default, the IPython controller listens on random port numbers. While this can be overridden by the user, in the default configuration, an attacker would have to do a port scan to even find a controller to attack. When coupled with the relatively short running time of a typical controller (on the order of hours), an attacker would have to work extremely hard and extremely *fast* to even find a running controller to attack. Second, much of the time, especially when run on supercomputers or clusters, the controller is running behind a firewall. Thus, for engines or client to connect to the controller: * The different processes have to all be behind the firewall. or: * The user has to use SSH port forwarding to tunnel the connections through the firewall. In either case, an attacker is presented with additional barriers that prevent attacking or even probing the system. Summary ======= IPython's architecture has been carefully designed with security in mind. The capabilities based authentication model, in conjunction with SSH tunneled TCP/IP channels, address the core potential vulnerabilities in the system, while still enabling user's to use the system in open networks. .. [RFC5246] .. [OpenSSH] .. [Paramiko] .. [HMAC] ipython-2.4.1/docs/source/parallel/parallel_task.rst0000644000076500000000000004267412466235755023076 0ustar minrkwheel00000000000000.. _parallel_task: ========================== The IPython task interface ========================== The task interface to the cluster presents the engines as a fault tolerant, dynamic load-balanced system of workers. Unlike the multiengine interface, in the task interface the user have no direct access to individual engines. By allowing the IPython scheduler to assign work, this interface is simultaneously simpler and more powerful. Best of all, the user can use both of these interfaces running at the same time to take advantage of their respective strengths. When the user can break up the user's work into segments that do not depend on previous execution, the task interface is ideal. But it also has more power and flexibility, allowing the user to guide the distribution of jobs, without having to assign tasks to engines explicitly. Starting the IPython controller and engines =========================================== To follow along with this tutorial, you will need to start the IPython controller and four IPython engines. The simplest way of doing this is to use the :command:`ipcluster` command:: $ ipcluster start -n 4 For more detailed information about starting the controller and engines, see our :ref:`introduction ` to using IPython for parallel computing. Creating a ``LoadBalancedView`` instance ======================================== The first step is to import the IPython :mod:`IPython.parallel` module and then create a :class:`.Client` instance, and we will also be using a :class:`LoadBalancedView`, here called `lview`: .. sourcecode:: ipython In [1]: from IPython.parallel import Client In [2]: rc = Client() This form assumes that the controller was started on localhost with default configuration. If not, the location of the controller must be given as an argument to the constructor: .. sourcecode:: ipython # for a visible LAN controller listening on an external port: In [2]: rc = Client('tcp://192.168.1.16:10101') # or to connect with a specific profile you have set up: In [3]: rc = Client(profile='mpi') For load-balanced execution, we will make use of a :class:`LoadBalancedView` object, which can be constructed via the client's :meth:`load_balanced_view` method: .. sourcecode:: ipython In [4]: lview = rc.load_balanced_view() # default load-balanced view .. seealso:: For more information, see the in-depth explanation of :ref:`Views `. Quick and easy parallelism ========================== In many cases, you simply want to apply a Python function to a sequence of objects, but *in parallel*. Like the multiengine interface, these can be implemented via the task interface. The exact same tools can perform these actions in load-balanced ways as well as multiplexed ways: a parallel version of :func:`map` and :func:`@parallel` function decorator. If one specifies the argument `balanced=True`, then they are dynamically load balanced. Thus, if the execution time per item varies significantly, you should use the versions in the task interface. Parallel map ------------ To load-balance :meth:`map`,simply use a LoadBalancedView: .. sourcecode:: ipython In [62]: lview.block = True In [63]: serial_result = map(lambda x:x**10, range(32)) In [64]: parallel_result = lview.map(lambda x:x**10, range(32)) In [65]: serial_result==parallel_result Out[65]: True Parallel function decorator --------------------------- Parallel functions are just like normal function, but they can be called on sequences and *in parallel*. The multiengine interface provides a decorator that turns any Python function into a parallel function: .. sourcecode:: ipython In [10]: @lview.parallel() ....: def f(x): ....: return 10.0*x**4 ....: In [11]: f.map(range(32)) # this is done in parallel Out[11]: [0.0,10.0,160.0,...] .. _parallel_dependencies: Dependencies ============ Often, pure atomic load-balancing is too primitive for your work. In these cases, you may want to associate some kind of `Dependency` that describes when, where, or whether a task can be run. In IPython, we provide two types of dependencies: `Functional Dependencies`_ and `Graph Dependencies`_ .. note:: It is important to note that the pure ZeroMQ scheduler does not support dependencies, and you will see errors or warnings if you try to use dependencies with the pure scheduler. Functional Dependencies ----------------------- Functional dependencies are used to determine whether a given engine is capable of running a particular task. This is implemented via a special :class:`Exception` class, :class:`UnmetDependency`, found in `IPython.parallel.error`. Its use is very simple: if a task fails with an UnmetDependency exception, then the scheduler, instead of relaying the error up to the client like any other error, catches the error, and submits the task to a different engine. This will repeat indefinitely, and a task will never be submitted to a given engine a second time. You can manually raise the :class:`UnmetDependency` yourself, but IPython has provided some decorators for facilitating this behavior. There are two decorators and a class used for functional dependencies: .. sourcecode:: ipython In [9]: from IPython.parallel import depend, require, dependent @require ******** The simplest sort of dependency is requiring that a Python module is available. The ``@require`` decorator lets you define a function that will only run on engines where names you specify are importable: .. sourcecode:: ipython In [10]: @require('numpy', 'zmq') ....: def myfunc(): ....: return dostuff() Now, any time you apply :func:`myfunc`, the task will only run on a machine that has numpy and pyzmq available, and when :func:`myfunc` is called, numpy and zmq will be imported. @depend ******* The ``@depend`` decorator lets you decorate any function with any *other* function to evaluate the dependency. The dependency function will be called at the start of the task, and if it returns ``False``, then the dependency will be considered unmet, and the task will be assigned to another engine. If the dependency returns *anything other than ``False``*, the rest of the task will continue. .. sourcecode:: ipython In [10]: def platform_specific(plat): ....: import sys ....: return sys.platform == plat In [11]: @depend(platform_specific, 'darwin') ....: def mactask(): ....: do_mac_stuff() In [12]: @depend(platform_specific, 'nt') ....: def wintask(): ....: do_windows_stuff() In this case, any time you apply ``mactask``, it will only run on an OSX machine. ``@depend`` is just like ``apply``, in that it has a ``@depend(f,*args,**kwargs)`` signature. dependents ********** You don't have to use the decorators on your tasks, if for instance you may want to run tasks with a single function but varying dependencies, you can directly construct the :class:`dependent` object that the decorators use: .. sourcecode::ipython In [13]: def mytask(*args): ....: dostuff() In [14]: mactask = dependent(mytask, platform_specific, 'darwin') # this is the same as decorating the declaration of mytask with @depend # but you can do it again: In [15]: wintask = dependent(mytask, platform_specific, 'nt') # in general: In [16]: t = dependent(f, g, *dargs, **dkwargs) # is equivalent to: In [17]: @depend(g, *dargs, **dkwargs) ....: def t(a,b,c): ....: # contents of f Graph Dependencies ------------------ Sometimes you want to restrict the time and/or location to run a given task as a function of the time and/or location of other tasks. This is implemented via a subclass of :class:`set`, called a :class:`Dependency`. A Dependency is just a set of `msg_ids` corresponding to tasks, and a few attributes to guide how to decide when the Dependency has been met. The switches we provide for interpreting whether a given dependency set has been met: any|all Whether the dependency is considered met if *any* of the dependencies are done, or only after *all* of them have finished. This is set by a Dependency's :attr:`all` boolean attribute, which defaults to ``True``. success [default: True] Whether to consider tasks that succeeded as fulfilling dependencies. failure [default : False] Whether to consider tasks that failed as fulfilling dependencies. using `failure=True,success=False` is useful for setting up cleanup tasks, to be run only when tasks have failed. Sometimes you want to run a task after another, but only if that task succeeded. In this case, ``success`` should be ``True`` and ``failure`` should be ``False``. However sometimes you may not care whether the task succeeds, and always want the second task to run, in which case you should use `success=failure=True`. The default behavior is to only use successes. There are other switches for interpretation that are made at the *task* level. These are specified via keyword arguments to the client's :meth:`apply` method. after,follow You may want to run a task *after* a given set of dependencies have been run and/or run it *where* another set of dependencies are met. To support this, every task has an `after` dependency to restrict time, and a `follow` dependency to restrict destination. timeout You may also want to set a time-limit for how long the scheduler should wait before a task's dependencies are met. This is done via a `timeout`, which defaults to 0, which indicates that the task should never timeout. If the timeout is reached, and the scheduler still hasn't been able to assign the task to an engine, the task will fail with a :class:`DependencyTimeout`. .. note:: Dependencies only work within the task scheduler. You cannot instruct a load-balanced task to run after a job submitted via the MUX interface. The simplest form of Dependencies is with `all=True,success=True,failure=False`. In these cases, you can skip using Dependency objects, and just pass msg_ids or AsyncResult objects as the `follow` and `after` keywords to :meth:`client.apply`: .. sourcecode:: ipython In [14]: client.block=False In [15]: ar = lview.apply(f, args, kwargs) In [16]: ar2 = lview.apply(f2) In [17]: with lview.temp_flags(after=[ar,ar2]): ....: ar3 = lview.apply(f3) In [18]: with lview.temp_flags(follow=[ar], timeout=2.5) ....: ar4 = lview.apply(f3) .. seealso:: Some parallel workloads can be described as a `Directed Acyclic Graph `_, or DAG. See :ref:`DAG Dependencies ` for an example demonstrating how to use map a NetworkX DAG onto task dependencies. Impossible Dependencies *********************** The schedulers do perform some analysis on graph dependencies to determine whether they are not possible to be met. If the scheduler does discover that a dependency cannot be met, then the task will fail with an :class:`ImpossibleDependency` error. This way, if the scheduler realized that a task can never be run, it won't sit indefinitely in the scheduler clogging the pipeline. The basic cases that are checked: * depending on nonexistent messages * `follow` dependencies were run on more than one machine and `all=True` * any dependencies failed and `all=True,success=True,failures=False` * all dependencies failed and `all=False,success=True,failure=False` .. warning:: This analysis has not been proven to be rigorous, so it is likely possible for tasks to become impossible to run in obscure situations, so a timeout may be a good choice. Retries and Resubmit ==================== Retries ------- Another flag for tasks is `retries`. This is an integer, specifying how many times a task should be resubmitted after failure. This is useful for tasks that should still run if their engine was shutdown, or may have some statistical chance of failing. The default is to not retry tasks. Resubmit -------- Sometimes you may want to re-run a task. This could be because it failed for some reason, and you have fixed the error, or because you want to restore the cluster to an interrupted state. For this, the :class:`Client` has a :meth:`rc.resubmit` method. This simply takes one or more msg_ids, and returns an :class:`AsyncHubResult` for the result(s). You cannot resubmit a task that is pending - only those that have finished, either successful or unsuccessful. .. _parallel_schedulers: Schedulers ========== There are a variety of valid ways to determine where jobs should be assigned in a load-balancing situation. In IPython, we support several standard schemes, and even make it easy to define your own. The scheme can be selected via the ``scheme`` argument to :command:`ipcontroller`, or in the :attr:`TaskScheduler.schemename` attribute of a controller config object. The built-in routing schemes: To select one of these schemes, simply do:: $ ipcontroller --scheme= for instance: $ ipcontroller --scheme=lru lru: Least Recently Used Always assign work to the least-recently-used engine. A close relative of round-robin, it will be fair with respect to the number of tasks, agnostic with respect to runtime of each task. plainrandom: Plain Random Randomly picks an engine on which to run. twobin: Two-Bin Random **Requires numpy** Pick two engines at random, and use the LRU of the two. This is known to be better than plain random in many cases, but requires a small amount of computation. leastload: Least Load **This is the default scheme** Always assign tasks to the engine with the fewest outstanding tasks (LRU breaks tie). weighted: Weighted Two-Bin Random **Requires numpy** Pick two engines at random using the number of outstanding tasks as inverse weights, and use the one with the lower load. Greedy Assignment ----------------- Tasks can be assigned greedily as they are submitted. If their dependencies are met, they will be assigned to an engine right away, and multiple tasks can be assigned to an engine at a given time. This limit is set with the ``TaskScheduler.hwm`` (high water mark) configurable in your :file:`ipcontroller_config.py` config file, with: .. sourcecode:: python # the most common choices are: c.TaskSheduler.hwm = 0 # (minimal latency, default in IPython < 0.13) # or c.TaskScheduler.hwm = 1 # (most-informed balancing, default in ≥ 0.13) In IPython < 0.13, the default is 0, or no-limit. That is, there is no limit to the number of tasks that can be outstanding on a given engine. This greatly benefits the latency of execution, because network traffic can be hidden behind computation. However, this means that workload is assigned without knowledge of how long each task might take, and can result in poor load-balancing, particularly for submitting a collection of heterogeneous tasks all at once. You can limit this effect by setting hwm to a positive integer, 1 being maximum load-balancing (a task will never be waiting if there is an idle engine), and any larger number being a compromise between load-balancing and latency-hiding. In practice, some users have been confused by having this optimization on by default, so the default value has been changed to 1 in IPython 0.13. This can be slower, but has more obvious behavior and won't result in assigning too many tasks to some engines in heterogeneous cases. Pure ZMQ Scheduler ------------------ For maximum throughput, the 'pure' scheme is not Python at all, but a C-level :class:`MonitoredQueue` from PyZMQ, which uses a ZeroMQ ``DEALER`` socket to perform all load-balancing. This scheduler does not support any of the advanced features of the Python :class:`.Scheduler`. Disabled features when using the ZMQ Scheduler: * Engine unregistration Task farming will be disabled if an engine unregisters. Further, if an engine is unregistered during computation, the scheduler may not recover. * Dependencies Since there is no Python logic inside the Scheduler, routing decisions cannot be made based on message content. * Early destination notification The Python schedulers know which engine gets which task, and notify the Hub. This allows graceful handling of Engines coming and going. There is no way to know where ZeroMQ messages have gone, so there is no way to know what tasks are on which engine until they *finish*. This makes recovery from engine shutdown very difficult. .. note:: TODO: performance comparisons More details ============ The :class:`LoadBalancedView` has many more powerful features that allow quite a bit of flexibility in how tasks are defined and run. The next places to look are in the following classes: * :class:`~IPython.parallel.client.view.LoadBalancedView` * :class:`~IPython.parallel.client.asyncresult.AsyncResult` * :meth:`~IPython.parallel.client.view.LoadBalancedView.apply` * :mod:`~IPython.parallel.controller.dependency` The following is an overview of how to use these classes together: 1. Create a :class:`Client` and :class:`LoadBalancedView` 2. Define some functions to be run as tasks 3. Submit your tasks to using the :meth:`apply` method of your :class:`LoadBalancedView` instance. 4. Use :meth:`.Client.get_result` to get the results of the tasks, or use the :meth:`AsyncResult.get` method of the results to wait for and then receive the results. .. seealso:: A demo of :ref:`DAG Dependencies ` with NetworkX and IPython. ipython-2.4.1/docs/source/parallel/parallel_transition.rst0000644000076500000000000002064412466235755024317 0ustar minrkwheel00000000000000.. _parallel_transition: ===================================================== Transitioning from IPython.kernel to IPython.parallel ===================================================== We have rewritten our parallel computing tools to use 0MQ_ and Tornado_. The redesign has resulted in dramatically improved performance, as well as (we think), an improved interface for executing code remotely. This doc is to help users of IPython.kernel transition their codes to the new code. .. _0MQ: http://zeromq.org .. _Tornado: https://github.com/facebook/tornado Processes ========= The process model for the new parallel code is very similar to that of IPython.kernel. There is still a Controller, Engines, and Clients. However, the the Controller is now split into multiple processes, and can even be split across multiple machines. There does remain a single ipcontroller script for starting all of the controller processes. .. note:: TODO: fill this out after config system is updated .. seealso:: Detailed :ref:`Parallel Process ` doc for configuring and launching IPython processes. Creating a Client ================= Creating a client with default settings has not changed much, though the extended options have. One significant change is that there are no longer multiple Client classes to represent the various execution models. There is just one low-level Client object for connecting to the cluster, and View objects are created from that Client that provide the different interfaces for execution. To create a new client, and set up the default direct and load-balanced objects: .. sourcecode:: ipython # old In [1]: from IPython.kernel import client as kclient In [2]: mec = kclient.MultiEngineClient() In [3]: tc = kclient.TaskClient() # new In [1]: from IPython.parallel import Client In [2]: rc = Client() In [3]: dview = rc[:] In [4]: lbview = rc.load_balanced_view() Apply ===== The main change to the API is the addition of the :meth:`apply` to the View objects. This is a method that takes `view.apply(f,*args,**kwargs)`, and calls `f(*args, **kwargs)` remotely on one or more engines, returning the result. This means that the natural unit of remote execution is no longer a string of Python code, but rather a Python function. * non-copying sends (track) * remote References The flags for execution have also changed. Previously, there was only `block` denoting whether to wait for results. This remains, but due to the addition of fully non-copying sends of arrays and buffers, there is also a `track` flag, which instructs PyZMQ to produce a :class:`MessageTracker` that will let you know when it is safe again to edit arrays in-place. The result of a non-blocking call to `apply` is now an :doc:`AsyncResult object `. MultiEngine to DirectView ========================= The multiplexing interface previously provided by the MultiEngineClient is now provided by the DirectView. Once you have a Client connected, you can create a DirectView with index-access to the client (``view = client[1:5]``). The core methods for communicating with engines remain: `execute`, `run`, `push`, `pull`, `scatter`, `gather`. These methods all behave in much the same way as they did on a MultiEngineClient. .. sourcecode:: ipython # old In [2]: mec.execute('a=5', targets=[0,1,2]) # new In [2]: view.execute('a=5', targets=[0,1,2]) # or In [2]: rc[0,1,2].execute('a=5') This extends to any method that communicates with the engines. Requests of the Hub (queue status, etc.) are no-longer asynchronous, and do not take a `block` argument. * :meth:`get_ids` is now the property :attr:`ids`, which is passively updated by the Hub (no need for network requests for an up-to-date list). * :meth:`barrier` has been renamed to :meth:`wait`, and now takes an optional timeout. :meth:`flush` is removed, as it is redundant with :meth:`wait` * :meth:`zip_pull` has been removed * :meth:`keys` has been removed, but is easily implemented as:: dview.apply(lambda : globals().keys()) * :meth:`push_function` and :meth:`push_serialized` are removed, as :meth:`push` handles functions without issue. .. seealso:: :ref:`Our Direct Interface doc ` for a simple tutorial with the DirectView. The other major difference is the use of :meth:`apply`. When remote work is simply functions, the natural return value is the actual Python objects. It is no longer the recommended pattern to use stdout as your results, due to stream decoupling and the asynchronous nature of how the stdout streams are handled in the new system. Task to LoadBalancedView ======================== Load-Balancing has changed more than Multiplexing. This is because there is no longer a notion of a StringTask or a MapTask, there are simply Python functions to call. Tasks are now simpler, because they are no longer composites of push/execute/pull/clear calls, they are a single function that takes arguments, and returns objects. The load-balanced interface is provided by the :class:`LoadBalancedView` class, created by the client: .. sourcecode:: ipython In [10]: lbview = rc.load_balanced_view() # load-balancing can also be restricted to a subset of engines: In [10]: lbview = rc.load_balanced_view([1,2,3]) A simple task would consist of sending some data, calling a function on that data, plus some data that was resident on the engine already, and then pulling back some results. This can all be done with a single function. Let's say you want to compute the dot product of two matrices, one of which resides on the engine, and another resides on the client. You might construct a task that looks like this: .. sourcecode:: ipython In [10]: st = kclient.StringTask(""" import numpy C=numpy.dot(A,B) """, push=dict(B=B), pull='C' ) In [11]: tid = tc.run(st) In [12]: tr = tc.get_task_result(tid) In [13]: C = tc['C'] In the new code, this is simpler: .. sourcecode:: ipython In [10]: import numpy In [11]: from IPython.parallel import Reference In [12]: ar = lbview.apply(numpy.dot, Reference('A'), B) In [13]: C = ar.get() Note the use of ``Reference`` This is a convenient representation of an object that exists in the engine's namespace, so you can pass remote objects as arguments to your task functions. Also note that in the kernel model, after the task is run, 'A', 'B', and 'C' are all defined on the engine. In order to deal with this, there is also a `clear_after` flag for Tasks to prevent pollution of the namespace, and bloating of engine memory. This is not necessary with the new code, because only those objects explicitly pushed (or set via `globals()`) will be resident on the engine beyond the duration of the task. .. seealso:: Dependencies also work very differently than in IPython.kernel. See our :ref:`doc on Dependencies` for details. .. seealso:: :ref:`Our Task Interface doc ` for a simple tutorial with the LoadBalancedView. PendingResults to AsyncResults ------------------------------ With the departure from Twisted, we no longer have the :class:`Deferred` class for representing unfinished results. For this, we have an AsyncResult object, based on the object of the same name in the built-in :mod:`multiprocessing.pool` module. Our version provides a superset of that interface. However, unlike in IPython.kernel, we do not have PendingDeferred, PendingResult, or TaskResult objects. Simply this one object, the AsyncResult. Every asynchronous (`block=False`) call returns one. The basic methods of an AsyncResult are: .. sourcecode:: python AsyncResult.wait([timeout]): # wait for the result to arrive AsyncResult.get([timeout]): # wait for the result to arrive, and then return it AsyncResult.metadata: # dict of extra information about execution. There are still some things that behave the same as IPython.kernel: .. sourcecode:: ipython # old In [5]: pr = mec.pull('a', targets=[0,1], block=False) In [6]: pr.r Out[6]: [5, 5] # new In [5]: ar = dview.pull('a', targets=[0,1], block=False) In [6]: ar.r Out[6]: [5, 5] The ``.r`` or ``.result`` property simply calls :meth:`get`, waiting for and returning the result. .. seealso:: :doc:`AsyncResult details ` ipython-2.4.1/docs/source/parallel/parallel_winhpc.rst0000644000076500000000000003756212466235755023424 0ustar minrkwheel00000000000000============================================ Getting started with Windows HPC Server 2008 ============================================ Introduction ============ The Python programming language is an increasingly popular language for numerical computing. This is due to a unique combination of factors. First, Python is a high-level and *interactive* language that is well matched to interactive numerical work. Second, it is easy (often times trivial) to integrate legacy C/C++/Fortran code into Python. Third, a large number of high-quality open source projects provide all the needed building blocks for numerical computing: numerical arrays (NumPy), algorithms (SciPy), 2D/3D Visualization (matplotlib_, Mayavi, Chaco), Symbolic Mathematics (Sage, Sympy) and others. The IPython project is a core part of this open-source toolchain and is focused on creating a comprehensive environment for interactive and exploratory computing in the Python programming language. It enables all of the above tools to be used interactively and consists of two main components: * An enhanced interactive Python shell with support for interactive plotting and visualization. * An architecture for interactive parallel computing. With these components, it is possible to perform all aspects of a parallel computation interactively. This type of workflow is particularly relevant in scientific and numerical computing where algorithms, code and data are continually evolving as the user/developer explores a problem. The broad threads in computing (commodity clusters, multicore, cloud computing, etc.) make these capabilities of IPython particularly relevant. While IPython is a cross platform tool, it has particularly strong support for Windows based compute clusters running Windows HPC Server 2008. This document describes how to get started with IPython on Windows HPC Server 2008. The content and emphasis here is practical: installing IPython, configuring IPython to use the Windows job scheduler and running example parallel programs interactively. A more complete description of IPython's parallel computing capabilities can be found in IPython's online documentation (http://ipython.org/documentation.html). Setting up your Windows cluster =============================== This document assumes that you already have a cluster running Windows HPC Server 2008. Here is a broad overview of what is involved with setting up such a cluster: 1. Install Windows Server 2008 on the head and compute nodes in the cluster. 2. Setup the network configuration on each host. Each host should have a static IP address. 3. On the head node, activate the "Active Directory Domain Services" role and make the head node the domain controller. 4. Join the compute nodes to the newly created Active Directory (AD) domain. 5. Setup user accounts in the domain with shared home directories. 6. Install the HPC Pack 2008 on the head node to create a cluster. 7. Install the HPC Pack 2008 on the compute nodes. More details about installing and configuring Windows HPC Server 2008 can be found on the Windows HPC Home Page (http://www.microsoft.com/hpc). Regardless of what steps you follow to set up your cluster, the remainder of this document will assume that: * There are domain users that can log on to the AD domain and submit jobs to the cluster scheduler. * These domain users have shared home directories. While shared home directories are not required to use IPython, they make it much easier to use IPython. Installation of IPython and its dependencies ============================================ IPython and all of its dependencies are freely available and open source. These packages provide a powerful and cost-effective approach to numerical and scientific computing on Windows. The following dependencies are needed to run IPython on Windows: * Python 2.6 or 2.7 (http://www.python.org) * pywin32 (http://sourceforge.net/projects/pywin32/) * PyReadline (https://launchpad.net/pyreadline) * pyzmq (http://github.com/zeromq/pyzmq/downloads) * IPython (http://ipython.org) In addition, the following dependencies are needed to run the demos described in this document. * NumPy and SciPy (http://www.scipy.org) * matplotlib_ (http://matplotlib.org) The easiest way of obtaining these dependencies is through the Enthought Python Distribution (EPD) (http://www.enthought.com/products/epd.php). EPD is produced by Enthought, Inc. and contains all of these packages and others in a single installer and is available free for academic users. While it is also possible to download and install each package individually, this is a tedious process. Thus, we highly recommend using EPD to install these packages on Windows. Regardless of how you install the dependencies, here are the steps you will need to follow: 1. Install all of the packages listed above, either individually or using EPD on the head node, compute nodes and user workstations. 2. Make sure that :file:`C:\\Python27` and :file:`C:\\Python27\\Scripts` are in the system :envvar:`%PATH%` variable on each node. 3. Install the latest development version of IPython. This can be done by downloading the the development version from the IPython website (http://ipython.org) and following the installation instructions. Further details about installing IPython or its dependencies can be found in the online IPython documentation (http://ipython.org/documentation.html) Once you are finished with the installation, you can try IPython out by opening a Windows Command Prompt and typing ``ipython``. This will start IPython's interactive shell and you should see something like the following:: Microsoft Windows [Version 6.0.6001] Copyright (c) 2006 Microsoft Corporation. All rights reserved. Z:\>ipython Python 2.7.2 (default, Jun 12 2011, 15:08:59) [MSC v.1500 32 bit (Intel)] Type "copyright", "credits" or "license" for more information. IPython 0.12.dev -- An enhanced Interactive Python. ? -> Introduction and overview of IPython's features. %quickref -> Quick reference. help -> Python's own help system. object? -> Details about 'object', use 'object??' for extra details. In [1]: Starting an IPython cluster =========================== To use IPython's parallel computing capabilities, you will need to start an IPython cluster. An IPython cluster consists of one controller and multiple engines: IPython controller The IPython controller manages the engines and acts as a gateway between the engines and the client, which runs in the user's interactive IPython session. The controller is started using the :command:`ipcontroller` command. IPython engine IPython engines run a user's Python code in parallel on the compute nodes. Engines are starting using the :command:`ipengine` command. Once these processes are started, a user can run Python code interactively and in parallel on the engines from within the IPython shell using an appropriate client. This includes the ability to interact with, plot and visualize data from the engines. IPython has a command line program called :command:`ipcluster` that automates all aspects of starting the controller and engines on the compute nodes. :command:`ipcluster` has full support for the Windows HPC job scheduler, meaning that :command:`ipcluster` can use this job scheduler to start the controller and engines. In our experience, the Windows HPC job scheduler is particularly well suited for interactive applications, such as IPython. Once :command:`ipcluster` is configured properly, a user can start an IPython cluster from their local workstation almost instantly, without having to log on to the head node (as is typically required by Unix based job schedulers). This enables a user to move seamlessly between serial and parallel computations. In this section we show how to use :command:`ipcluster` to start an IPython cluster using the Windows HPC Server 2008 job scheduler. To make sure that :command:`ipcluster` is installed and working properly, you should first try to start an IPython cluster on your local host. To do this, open a Windows Command Prompt and type the following command:: ipcluster start -n 2 You should see a number of messages printed to the screen. The result should look something like this:: Microsoft Windows [Version 6.1.7600] Copyright (c) 2009 Microsoft Corporation. All rights reserved. Z:\>ipcluster start --profile=mycluster [IPClusterStart] Using existing profile dir: u'\\\\blue\\domainusers$\\bgranger\\.ipython\\profile_mycluster' [IPClusterStart] Starting ipcluster with [daemon=False] [IPClusterStart] Creating pid file: \\blue\domainusers$\bgranger\.ipython\profile_mycluster\pid\ipcluster.pid [IPClusterStart] Writing job description file: \\blue\domainusers$\bgranger\.ipython\profile_mycluster\ipcontroller_job.xml [IPClusterStart] Starting Win HPC Job: job submit /jobfile:\\blue\domainusers$\bgranger\.ipython\profile_mycluster\ipcontroller_job.xml /scheduler:HEADNODE [IPClusterStart] Starting 15 engines [IPClusterStart] Writing job description file: \\blue\domainusers$\bgranger\.ipython\profile_mycluster\ipcontroller_job.xml [IPClusterStart] Starting Win HPC Job: job submit /jobfile:\\blue\domainusers$\bgranger\.ipython\profile_mycluster\ipengineset_job.xml /scheduler:HEADNODE At this point, the controller and two engines are running on your local host. This configuration is useful for testing and for situations where you want to take advantage of multiple cores on your local computer. Now that we have confirmed that :command:`ipcluster` is working properly, we describe how to configure and run an IPython cluster on an actual compute cluster running Windows HPC Server 2008. Here is an outline of the needed steps: 1. Create a cluster profile using: ``ipython profile create mycluster --parallel`` 2. Edit configuration files in the directory :file:`.ipython\\cluster_mycluster` 3. Start the cluster using: ``ipcluster start --profile=mycluster -n 32`` Creating a cluster profile -------------------------- In most cases, you will have to create a cluster profile to use IPython on a cluster. A cluster profile is a name (like "mycluster") that is associated with a particular cluster configuration. The profile name is used by :command:`ipcluster` when working with the cluster. Associated with each cluster profile is a cluster directory. This cluster directory is a specially named directory (typically located in the :file:`.ipython` subdirectory of your home directory) that contains the configuration files for a particular cluster profile, as well as log files and security keys. The naming convention for cluster directories is: :file:`profile_`. Thus, the cluster directory for a profile named "foo" would be :file:`.ipython\\cluster_foo`. To create a new cluster profile (named "mycluster") and the associated cluster directory, type the following command at the Windows Command Prompt:: ipython profile create --parallel --profile=mycluster The output of this command is shown in the screenshot below. Notice how :command:`ipcluster` prints out the location of the newly created profile directory:: Z:\>ipython profile create mycluster --parallel [ProfileCreate] Generating default config file: u'\\\\blue\\domainusers$\\bgranger\\.ipython\\profile_mycluster\\ipython_config.py' [ProfileCreate] Generating default config file: u'\\\\blue\\domainusers$\\bgranger\\.ipython\\profile_mycluster\\ipcontroller_config.py' [ProfileCreate] Generating default config file: u'\\\\blue\\domainusers$\\bgranger\\.ipython\\profile_mycluster\\ipengine_config.py' [ProfileCreate] Generating default config file: u'\\\\blue\\domainusers$\\bgranger\\.ipython\\profile_mycluster\\ipcluster_config.py' [ProfileCreate] Generating default config file: u'\\\\blue\\domainusers$\\bgranger\\.ipython\\profile_mycluster\\iplogger_config.py' Z:\> Configuring a cluster profile ----------------------------- Next, you will need to configure the newly created cluster profile by editing the following configuration files in the cluster directory: * :file:`ipcluster_config.py` * :file:`ipcontroller_config.py` * :file:`ipengine_config.py` When :command:`ipcluster` is run, these configuration files are used to determine how the engines and controller will be started. In most cases, you will only have to set a few of the attributes in these files. To configure :command:`ipcluster` to use the Windows HPC job scheduler, you will need to edit the following attributes in the file :file:`ipcluster_config.py`:: # Set these at the top of the file to tell ipcluster to use the # Windows HPC job scheduler. c.IPClusterStart.controller_launcher_class = 'WindowsHPCControllerLauncher' c.IPClusterEngines.engine_launcher_class = 'WindowsHPCEngineSetLauncher' # Set these to the host name of the scheduler (head node) of your cluster. c.WindowsHPCControllerLauncher.scheduler = 'HEADNODE' c.WindowsHPCEngineSetLauncher.scheduler = 'HEADNODE' There are a number of other configuration attributes that can be set, but in most cases these will be sufficient to get you started. .. warning:: If any of your configuration attributes involve specifying the location of shared directories or files, you must make sure that you use UNC paths like :file:`\\\\host\\share`. It is helpful to specify these paths using raw Python strings: ``r'\\host\share'`` to make sure that the backslashes are properly escaped. Starting the cluster profile ---------------------------- Once a cluster profile has been configured, starting an IPython cluster using the profile is simple:: ipcluster start --profile=mycluster -n 32 The ``-n`` option tells :command:`ipcluster` how many engines to start (in this case 32). Stopping the cluster is as simple as typing Control-C. Using the HPC Job Manager ------------------------- føø When ``ipcluster start`` is run the first time, :command:`ipcluster` creates two XML job description files in the cluster directory: * :file:`ipcontroller_job.xml` * :file:`ipengineset_job.xml` Once these files have been created, they can be imported into the HPC Job Manager application. Then, the controller and engines for that profile can be started using the HPC Job Manager directly, without using :command:`ipcluster`. However, anytime the cluster profile is re-configured, ``ipcluster start`` must be run again to regenerate the XML job description files. The following screenshot shows what the HPC Job Manager interface looks like with a running IPython cluster. .. image:: figs/hpc_job_manager.* Performing a simple interactive parallel computation ==================================================== Once you have started your IPython cluster, you can start to use it. To do this, open up a new Windows Command Prompt and start up IPython's interactive shell by typing:: ipython Then you can create a :class:`DirectView` instance for your profile and use the resulting instance to do a simple interactive parallel computation. In the code and screenshot that follows, we take a simple Python function and apply it to each element of an array of integers in parallel using the :meth:`DirectView.map` method: .. sourcecode:: ipython In [1]: from IPython.parallel import * In [2]: c = Client(profile='mycluster') In [3]: view = c[:] In [4]: c.ids Out[4]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] In [5]: def f(x): ...: return x**10 In [6]: view.map(f, range(15)) # f is applied in parallel Out[6]: [0, 1, 1024, 59049, 1048576, 9765625, 60466176, 282475249, 1073741824, 3486784401L, 10000000000L, 25937424601L, 61917364224L, 137858491849L, 289254654976L] The :meth:`map` method has the same signature as Python's builtin :func:`map` function, but runs the calculation in parallel. More involved examples of using :class:`DirectView` are provided in the examples that follow. .. include:: ../links.txt ipython-2.4.1/docs/source/whatsnew/0000755000076500000000000000000012466236022017541 5ustar minrkwheel00000000000000ipython-2.4.1/docs/source/whatsnew/development.rst0000644000076500000000000000101112466235755022622 0ustar minrkwheel00000000000000===================== Development version ===================== This document describes in-flight development work. .. warning:: Please do not edit this file by hand (doing so will likely cause merge conflicts for other Pull Requests). Instead, create a new file in the `docs/source/whatsnew/pr` folder .. DO NOT EDIT THIS LINE BEFORE RELEASE. FEATURE INSERTION POINT. Backwards incompatible changes ------------------------------ .. DO NOT EDIT THIS LINE BEFORE RELEASE. INCOMPAT INSERTION POINT. ipython-2.4.1/docs/source/whatsnew/github-stats-0.11.rst0000644000076500000000000014423412466235755023312 0ustar minrkwheel00000000000000.. _issues_list_011: Issues closed in the 0.11 development cycle =========================================== In this cycle, we closed a total of 511 issues, 226 pull requests and 285 regular issues; this is the full list (generated with the script `tools/github_stats.py`). We should note that a few of these were made on the 0.10.x series, but we have no automatic way of filtering the issues by branch, so this reflects all of our development over the last two years, including work already released in 0.10.2: Pull requests (226): * `620 `_: Release notes and updates to GUI support docs for 0.11 * `642 `_: fix typo in docs/examples/vim/README.rst * `631 `_: two-way vim-ipython integration * `637 `_: print is a function, this allows to properly exit ipython * `635 `_: support html representations in the notebook frontend * `639 `_: Updating the credits file * `628 `_: import pexpect from IPython.external in irunner * `596 `_: Irunner * `598 `_: Fix templates for CrashHandler * `590 `_: Desktop * `600 `_: Fix bug with non-ascii reprs inside pretty-printed lists. * `618 `_: I617 * `599 `_: Gui Qt example and docs * `619 `_: manpage update * `582 `_: Updating sympy profile to match the exec_lines of isympy. * `578 `_: Check to see if correct source for decorated functions can be displayed * `589 `_: issue 588 * `591 `_: simulate shell expansion on %run arguments, at least tilde expansion * `576 `_: Show message about %paste magic on an IndentationError * `574 `_: Getcwdu * `565 `_: don't move old config files, keep nagging the user * `575 `_: Added more docstrings to IPython.zmq.session. * `567 `_: fix trailing whitespace from reseting indentation * `564 `_: Command line args in docs * `560 `_: reorder qt support in kernel * `561 `_: command-line suggestions * `556 `_: qt_for_kernel: use matplotlib rcParams to decide between PyQt4 and PySide * `557 `_: Update usage.py to newapp * `555 `_: Rm default old config * `552 `_: update parallel code for py3k * `504 `_: Updating string formatting * `551 `_: Make pylab import all configurable * `496 `_: Qt editing keybindings * `550 `_: Support v2 PyQt4 APIs and PySide in kernel's GUI support * `546 `_: doc update * `548 `_: Fix sympy profile to work with sympy 0.7. * `542 `_: issue 440 * `533 `_: Remove unused configobj and validate libraries from externals. * `538 `_: fix various tests on Windows * `540 `_: support `-pylab` flag with deprecation warning * `537 `_: Docs update * `536 `_: `setup.py install` depends on setuptools on Windows * `480 `_: Get help mid-command * `462 `_: Str and Bytes traitlets * `534 `_: Handle unicode properly in IPython.zmq.iostream * `527 `_: ZMQ displayhook * `526 `_: Handle asynchronous output in Qt console * `528 `_: Do not import deprecated functions from external decorators library. * `454 `_: New BaseIPythonApplication * `532 `_: Zmq unicode * `531 `_: Fix Parallel test * `525 `_: fallback on lsof if otool not found in libedit detection * `517 `_: Merge IPython.parallel.streamsession into IPython.zmq.session * `521 `_: use dict.get(key) instead of dict[key] for safety from KeyErrors * `492 `_: add QtConsoleApp using newapplication * `485 `_: terminal IPython with newapp * `486 `_: Use newapp in parallel code * `511 `_: Add a new line before displaying multiline strings in the Qt console. * `509 `_: i508 * `501 `_: ignore EINTR in channel loops * `495 `_: Better selection of Qt bindings when QT_API is not specified * `498 `_: Check for .pyd as extension for binary files. * `494 `_: QtConsole zoom adjustments * `490 `_: fix UnicodeEncodeError writing SVG string to .svg file, fixes #489 * `491 `_: add QtConsoleApp using newapplication * `479 `_: embed() doesn't load default config * `483 `_: Links launchpad -> github * `419 `_: %xdel magic * `477 `_: Add \n to lines in the log * `459 `_: use os.system for shell.system in Terminal frontend * `475 `_: i473 * `471 `_: Add test decorator onlyif_unicode_paths. * `474 `_: Fix support for raw GTK and WX matplotlib backends. * `472 `_: Kernel event loop is robust against random SIGINT. * `460 `_: Share code for magic_edit * `469 `_: Add exit code when running all tests with iptest. * `464 `_: Add home directory expansion to IPYTHON_DIR environment variables. * `455 `_: Bugfix with logger * `448 `_: Separate out skip_doctest decorator * `453 `_: Draft of new main BaseIPythonApplication. * `452 `_: Use list/tuple/dict/set subclass's overridden __repr__ instead of the pretty * `398 `_: allow toggle of svg/png inline figure format * `381 `_: Support inline PNGs of matplotlib plots * `413 `_: Retries and Resubmit (#411 and #412) * `370 `_: Fixes to the display system * `449 `_: Fix issue 447 - inspecting old-style classes. * `423 `_: Allow type checking on elements of List,Tuple,Set traits * `400 `_: Config5 * `421 `_: Generalise mechanism to put text at the next prompt in the Qt console. * `443 `_: pinfo code duplication * `429 `_: add check_pid, and handle stale PID info in ipcluster. * `431 `_: Fix error message in test_irunner * `427 `_: handle different SyntaxError messages in test_irunner * `424 `_: Irunner test failure * `430 `_: Small parallel doc typo * `422 `_: Make ipython-qtconsole a GUI script * `420 `_: Permit kernel std* to be redirected * `408 `_: History request * `388 `_: Add Emacs-style kill ring to Qt console * `414 `_: Warn on old config files * `415 `_: Prevent prefilter from crashing IPython * `418 `_: Minor configuration doc fixes * `407 `_: Update What's new documentation * `410 `_: Install notebook frontend * `406 `_: install IPython.zmq.gui * `393 `_: ipdir unicode * `397 `_: utils.io.Term.cin/out/err -> utils.io.stdin/out/err * `389 `_: DB fixes and Scheduler HWM * `374 `_: Various Windows-related fixes to IPython.parallel * `362 `_: fallback on defaultencoding if filesystemencoding is None * `382 `_: Shell's reset method clears namespace from last %run command. * `385 `_: Update iptest exclusions (fix #375) * `383 `_: Catch errors in querying readline which occur with pyreadline. * `373 `_: Remove runlines etc. * `364 `_: Single output * `372 `_: Multiline input push * `363 `_: Issue 125 * `361 `_: don't rely on setuptools for readline dependency check * `349 `_: Fix %autopx magic * `355 `_: History save thread * `356 `_: Usability improvements to history in Qt console * `357 `_: Exit autocall * `353 `_: Rewrite quit()/exit()/Quit()/Exit() calls as magic * `354 `_: Cell tweaks * `345 `_: Attempt to address (partly) issue ipython/#342 by rewriting quit(), exit(), etc. * `352 `_: #342: Try to recover as intelligently as possible if user calls magic(). * `346 `_: Dedent prefix bugfix + tests: #142 * `348 `_: %reset doesn't reset prompt number. * `347 `_: Make ip.reset() work the same in interactive or non-interactive code. * `343 `_: make readline a dependency on OSX * `344 `_: restore auto debug behavior * `339 `_: fix for issue 337: incorrect/phantom tooltips for magics * `254 `_: newparallel branch (add zmq.parallel submodule) * `334 `_: Hard reset * `316 `_: Unicode win process * `332 `_: AST splitter * `325 `_: Removetwisted * `330 `_: Magic pastebin * `309 `_: Bug tests for GH Issues 238, 284, 306, 307. Skip module machinery if not installed. Known failures reported as 'K' * `331 `_: Tweak config loader for PyPy compatibility. * `319 `_: Rewrite code to restore readline history after an action * `329 `_: Do not store file contents in history when running a .ipy file. * `179 `_: Html notebook * `323 `_: Add missing external.pexpect to packages * `295 `_: Magic local scope * `315 `_: Unicode magic args * `310 `_: allow Unicode Command-Line options * `313 `_: Readline shortcuts * `311 `_: Qtconsole exit * `312 `_: History memory * `294 `_: Issue 290 * `292 `_: Issue 31 * `252 `_: Unicode issues * `235 `_: Fix history magic command's bugs wrt to full history and add -O option to display full history * `236 `_: History minus p flag * `261 `_: Adapt magic commands to new history system. * `282 `_: SQLite history * `191 `_: Unbundle external libraries * `199 `_: Magic arguments * `204 `_: Emacs completion bugfix * `293 `_: Issue 133 * `249 `_: Writing unicode characters to a log file. (IPython 0.10.2.git) * `283 `_: Support for 256-color escape sequences in Qt console * `281 `_: Refactored and improved Qt console's HTML export facility * `237 `_: Fix185 (take two) * `251 `_: Issue 129 * `278 `_: add basic XDG_CONFIG_HOME support * `275 `_: inline pylab cuts off labels on log plots * `280 `_: Add %precision magic * `259 `_: Pyside support * `193 `_: Make ipython cProfile-able * `272 `_: Magic examples * `219 `_: Doc magic pycat * `221 `_: Doc magic alias * `230 `_: Doc magic edit * `224 `_: Doc magic cpaste * `229 `_: Doc magic pdef * `273 `_: Docs build * `228 `_: Doc magic who * `233 `_: Doc magic cd * `226 `_: Doc magic pwd * `218 `_: Doc magic history * `231 `_: Doc magic reset * `225 `_: Doc magic save * `222 `_: Doc magic timeit * `223 `_: Doc magic colors * `203 `_: Small typos in zmq/blockingkernelmanager.py * `227 `_: Doc magic logon * `232 `_: Doc magic profile * `264 `_: Kernel logging * `220 `_: Doc magic edit * `268 `_: PyZMQ >= 2.0.10 * `267 `_: GitHub Pages (again) * `266 `_: OSX-specific fixes to the Qt console * `255 `_: Gitwash typo * `265 `_: Fix string input2 * `260 `_: Kernel crash with empty history * `243 `_: New display system * `242 `_: Fix terminal exit * `250 `_: always use Session.send * `239 `_: Makefile command & script for GitHub Pages * `244 `_: My exit * `234 `_: Timed history save * `217 `_: Doc magic lsmagic * `215 `_: History fix * `195 `_: Formatters * `192 `_: Ready colorize bug * `198 `_: Windows workdir * `174 `_: Whitespace cleanup * `188 `_: Version info: update our version management system to use git. * `158 `_: Ready for merge * `187 `_: Resolved Print shortcut collision with ctrl-P emacs binding * `183 `_: cleanup of exit/quit commands for qt console * `184 `_: Logo added to sphinx docs * `180 `_: Cleanup old code * `171 `_: Expose Pygments styles as options * `170 `_: HTML Fixes * `172 `_: Fix del method exit test * `164 `_: Qt frontend shutdown behavior fixes and enhancements * `167 `_: Added HTML export * `163 `_: Execution refactor * `159 `_: Ipy3 preparation * `155 `_: Ready startup fix * `152 `_: 0.10.1 sge * `151 `_: mk_object_info -> object_info * `149 `_: Simple bug-fix Regular issues (285): * `630 `_: new.py in pwd prevents ipython from starting * `623 `_: Execute DirectView commands while running LoadBalancedView tasks * `437 `_: Users should have autocompletion in the notebook * `583 `_: update manpages * `594 `_: irunner command line options defer to file extensions * `603 `_: Users should see colored text in tracebacks and the pager * `597 `_: UnicodeDecodeError: 'ascii' codec can't decode byte 0xc2 * `608 `_: Organize and layout buttons in the notebook panel sections * `609 `_: Implement controls in the Kernel panel section * `611 `_: Add kernel status widget back to notebook * `610 `_: Implement controls in the Cell section panel * `612 `_: Implement Help panel section * `621 `_: [qtconsole] on windows xp, cannot PageUp more than once * `616 `_: Store exit status of last command * `605 `_: Users should be able to open different notebooks in the cwd * `302 `_: Users should see a consistent behavior in the Out prompt in the html notebook * `435 `_: Notebook should not import anything by default * `595 `_: qtconsole command issue * `588 `_: ipython-qtconsole uses 100% CPU * `586 `_: ? + plot() Command B0rks QTConsole Strangely * `585 `_: %pdoc throws Errors for classes without __init__ or docstring * `584 `_: %pdoc throws TypeError * `580 `_: Client instantiation AssertionError * `569 `_: UnicodeDecodeError during startup * `572 `_: Indented command hits error * `573 `_: -wthread breaks indented top-level statements * `570 `_: "--pylab inline" vs. "--pylab=inline" * `566 `_: Can't use exec_file in config file * `562 `_: update docs to reflect '--args=values' * `558 `_: triple quote and %s at beginning of line * `554 `_: Update 0.11 docs to explain Qt console and how to do a clean install * `553 `_: embed() fails if config files not installed * `8 `_: Ensure %gui qt works with new Mayavi and pylab * `269 `_: Provide compatibility api for IPython.Shell().start().mainloop() * `66 `_: Update the main What's New document to reflect work on 0.11 * `549 `_: Don't check for 'linux2' value in sys.platform * `505 `_: Qt windows created within imported functions won't show() * `545 `_: qtconsole ignores exec_lines * `371 `_: segfault in qtconsole when kernel quits * `377 `_: Failure: error (nothing to repeat) * `544 `_: Ipython qtconsole pylab config issue. * `543 `_: RuntimeError in completer * `440 `_: %run filename autocompletion "The kernel heartbeat has been inactive ... " error * `541 `_: log_level is broken in the ipython Application * `369 `_: windows source install doesn't create scripts correctly * `351 `_: Make sure that the Windows installer handles the top-level IPython scripts. * `512 `_: Two displayhooks in zmq * `340 `_: Make sure that the Windows HPC scheduler support is working for 0.11 * `98 `_: Should be able to get help on an object mid-command * `529 `_: unicode problem in qtconsole for windows * `476 `_: Separate input area in Qt Console * `175 `_: Qt console needs configuration support * `156 `_: Key history lost when debugging program crash * `470 `_: decorator: uses deprecated features * `30 `_: readline in OS X does not have correct key bindings * `503 `_: merge IPython.parallel.streamsession and IPython.zmq.session * `456 `_: pathname in document punctuated by dots not slashes * `451 `_: Allow switching the default image format for inline mpl backend * `79 `_: Implement more robust handling of config stages in Application * `522 `_: Encoding problems * `524 `_: otool should not be unconditionally called on osx * `523 `_: Get profile and config file inheritance working * `519 `_: qtconsole --pure: "TypeError: string indices must be integers, not str" * `516 `_: qtconsole --pure: "KeyError: 'ismagic'" * `520 `_: qtconsole --pure: "TypeError: string indices must be integers, not str" * `450 `_: resubmitted tasks sometimes stuck as pending * `518 `_: JSON serialization problems with ObjectId type (MongoDB) * `178 `_: Channels should be named for their function, not their socket type * `515 `_: [ipcluster] termination on os x * `510 `_: qtconsole: indentation problem printing numpy arrays * `508 `_: "AssertionError: Missing message part." in ipython-qtconsole --pure * `499 `_: "ZMQError: Interrupted system call" when saving inline figure * `426 `_: %edit magic fails in qtconsole * `497 `_: Don't show info from .pyd files * `493 `_: QFont::setPointSize: Point size <= 0 (0), must be greater than 0 * `489 `_: UnicodeEncodeError in qt.svg.save_svg * `458 `_: embed() doesn't load default config * `488 `_: Using IPython with RubyPython leads to problems with IPython.parallel.client.client.Client.__init() * `401 `_: Race condition when running lbview.apply() fast multiple times in loop * `168 `_: Scrub Launchpad links from code, docs * `141 `_: garbage collection problem (revisited) * `59 `_: test_magic.test_obj_del fails on win32 * `457 `_: Backgrounded Tasks not Allowed? (but easy to slip by . . .) * `297 `_: Shouldn't use pexpect for subprocesses in in-process terminal frontend * `110 `_: magic to return exit status * `473 `_: OSX readline detection fails in the debugger * `466 `_: tests fail without unicode filename support * `468 `_: iptest script has 0 exit code even when tests fail * `465 `_: client.db_query() behaves different with SQLite and MongoDB * `467 `_: magic_install_default_config test fails when there is no .ipython directory * `463 `_: IPYTHON_DIR (and IPYTHONDIR) don't expand tilde to '~' directory * `446 `_: Test machinery is imported at normal runtime * `438 `_: Users should be able to use Up/Down for cell navigation * `439 `_: Users should be able to copy notebook input and output * `291 `_: Rename special display methods and put them lower in priority than display functions * `447 `_: Instantiating classes without __init__ function causes kernel to crash * `444 `_: Ctrl + t in WxIPython Causes Unexpected Behavior * `445 `_: qt and console Based Startup Errors * `428 `_: ipcluster doesn't handle stale pid info well * `434 `_: 10.0.2 seg fault with rpy2 * `441 `_: Allow running a block of code in a file * `432 `_: Silent request fails * `409 `_: Test failure in IPython.lib * `402 `_: History section of messaging spec is incorrect * `88 `_: Error when inputting UTF8 CJK characters * `366 `_: Ctrl-K should kill line and store it, so that Ctrl-y can yank it back * `425 `_: typo in %gui magic help * `304 `_: Persistent warnings if old configuration files exist * `216 `_: crash of ipython when alias is used with %s and echo * `412 `_: add support to automatic retry of tasks * `411 `_: add support to continue tasks * `417 `_: IPython should display things unsorted if it can't sort them * `416 `_: wrong encode when printing unicode string * `376 `_: Failing InputsplitterTest * `405 `_: TraitError in traitlets.py(332) on any input * `392 `_: UnicodeEncodeError on start * `137 `_: sys.getfilesystemencoding return value not checked * `300 `_: Users should be able to manage kernels and kernel sessions from the notebook UI * `301 `_: Users should have access to working Kernel, Tabs, Edit, Help menus in the notebook * `396 `_: cursor move triggers a lot of IO access * `379 `_: Minor doc nit: --paging argument * `399 `_: Add task queue limit in engine when load-balancing * `78 `_: StringTask won't take unicode code strings * `391 `_: MongoDB.add_record() does not work in 0.11dev * `365 `_: newparallel on Windows * `386 `_: FAIL: test that pushed functions have access to globals * `387 `_: Interactively defined functions can't access user namespace * `118 `_: Snow Leopard ipy_vimserver POLL error * `394 `_: System escape interpreted in multi-line string * `26 `_: find_job_cmd is too hasty to fail on Windows * `368 `_: Installation instructions in dev docs are completely wrong * `380 `_: qtconsole pager RST - HTML not happening consistently * `367 `_: Qt console doesn't support ibus input method * `375 `_: Missing libraries cause ImportError in tests * `71 `_: temp file errors in iptest IPython.core * `350 `_: Decide how to handle displayhook being triggered multiple times * `360 `_: Remove `runlines` method * `125 `_: Exec lines in config should not contribute to line numbering or history * `20 `_: Robust readline support on OS X's builtin Python * `147 `_: On Windows, %page is being too restrictive to split line by \r\n only * `326 `_: Update docs and examples for parallel stuff to reflect movement away from Twisted * `341 `_: FIx Parallel Magics for newparallel * `338 `_: Usability improvements to Qt console * `142 `_: unexpected auto-indenting when varibles names that start with 'pass' * `296 `_: Automatic PDB via %pdb doesn't work * `337 `_: exit( and quit( in Qt console produces phantom signature/docstring popup, even though quit() or exit() raises NameError * `318 `_: %debug broken in master: invokes missing save_history() method * `307 `_: lines ending with semicolon should not go to cache * `104 `_: have ipengine run start-up scripts before registering with the controller * `33 `_: The skip_doctest decorator is failing to work on Shell.MatplotlibShellBase.magic_run * `336 `_: Missing figure development/figs/iopubfade.png for docs * `49 `_: %clear should also delete _NN references and Out[NN] ones * `335 `_: using setuptools installs every script twice * `306 `_: multiline strings at end of input cause noop * `327 `_: PyPy compatibility * `328 `_: %run script.ipy raises "ERROR! Session/line number was not unique in database." * `7 `_: Update the changes doc to reflect the kernel config work * `303 `_: Users should be able to scroll a notebook w/o moving the menu/buttons * `322 `_: Embedding an interactive IPython shell * `321 `_: %debug broken in master * `287 `_: Crash when using %macros in sqlite-history branch * `55 `_: Can't edit files whose names begin with numbers * `284 `_: In variable no longer works in 0.11 * `92 `_: Using multiprocessing module crashes parallel iPython * `262 `_: Fail to recover history after force-kill. * `320 `_: Tab completing re.search objects crashes IPython * `317 `_: IPython.kernel: parallel map issues * `197 `_: ipython-qtconsole unicode problem in magic ls * `305 `_: more readline shortcuts in qtconsole * `314 `_: Multi-line, multi-block cells can't be executed. * `308 `_: Test suite should set sqlite history to work in :memory: * `202 `_: Matplotlib native 'MacOSX' backend broken in '-pylab' mode * `196 `_: IPython can't deal with unicode file name. * `25 `_: unicode bug - encoding input * `290 `_: try/except/else clauses can't be typed, code input stops too early. * `43 `_: Implement SSH support in ipcluster * `6 `_: Update the Sphinx docs for the new ipcluster * `9 `_: Getting "DeadReferenceError: Calling Stale Broker" after ipcontroller restart * `132 `_: Ipython prevent south from working * `27 `_: generics.complete_object broken * `60 `_: Improve absolute import management for iptest.py * `31 `_: Issues in magic_whos code * `52 `_: Document testing process better * `44 `_: Merge history from multiple sessions * `182 `_: ipython q4thread in version 10.1 not starting properly * `143 `_: Ipython.gui.wx.ipython_view.IPShellWidget: ignores user*_ns arguments * `127 `_: %edit does not work on filenames consisted of pure numbers * `126 `_: Can't transfer command line argument to script * `28 `_: Offer finer control for initialization of input streams * `58 `_: ipython change char '0xe9' to 4 spaces * `68 `_: Problems with Control-C stopping ipcluster on Windows/Python2.6 * `24 `_: ipcluster does not start all the engines * `240 `_: Incorrect method displayed in %psource * `120 `_: inspect.getsource fails for functions defined on command line * `212 `_: IPython ignores exceptions in the first evaulation of class attrs * `108 `_: ipython disables python logger * `100 `_: Overzealous introspection * `18 `_: %cpaste freeze sync frontend * `200 `_: Unicode error when starting ipython in a folder with non-ascii path * `130 `_: Deadlock when importing a module that creates an IPython client * `134 `_: multline block scrolling * `46 `_: Input to %timeit is not preparsed * `285 `_: ipcluster local -n 4 fails * `205 `_: In the Qt console, Tab should insert 4 spaces when not completing * `145 `_: Bug on MSW sytems: idle can not be set as default IPython editor. Fix Suggested. * `77 `_: ipython oops in cygwin * `121 `_: If plot windows are closed via window controls, no more plotting is possible. * `111 `_: Iterator version of TaskClient.map() that returns results as they become available * `109 `_: WinHPCLauncher is a hard dependency that causes errors in the test suite * `86 `_: Make IPython work with multiprocessing * `15 `_: Implement SGE support in ipcluster * `3 `_: Implement PBS support in ipcluster * `53 `_: Internal Python error in the inspect module * `74 `_: Manager() [from multiprocessing module] hangs ipythonx but not ipython * `51 `_: Out not working with ipythonx * `201 `_: use session.send throughout zmq code * `115 `_: multiline specials not defined in 0.11 branch * `93 `_: when looping, cursor appears at leftmost point in newline * `133 `_: whitespace after Source introspection * `50 `_: Ctrl-C with -gthread on Windows, causes uncaught IOError * `65 `_: Do not use .message attributes in exceptions, deprecated in 2.6 * `76 `_: syntax error when raise is inside except process * `107 `_: bdist_rpm causes traceback looking for a non-existant file * `113 `_: initial magic ? (question mark) fails before wildcard * `128 `_: Pdb instance has no attribute 'curframe' * `139 `_: running with -pylab pollutes namespace * `140 `_: malloc error during tab completion of numpy array member functions starting with 'c' * `153 `_: ipy_vimserver traceback on Windows * `154 `_: using ipython in Slicer3 show how os.environ['HOME'] is not defined * `185 `_: show() blocks in pylab mode with ipython 0.10.1 * `189 `_: Crash on tab completion * `274 `_: bashism in sshx.sh * `276 `_: Calling `sip.setapi` does not work if app has already imported from PyQt4 * `277 `_: matplotlib.image imgshow from 10.1 segfault * `288 `_: Incorrect docstring in zmq/kernelmanager.py * `286 `_: Fix IPython.Shell compatibility layer * `99 `_: blank lines in history * `129 `_: psearch: TypeError: expected string or buffer * `190 `_: Add option to format float point output * `246 `_: Application not conforms XDG Base Directory Specification * `48 `_: IPython should follow the XDG Base Directory spec for configuration * `176 `_: Make client-side history persistence readline-independent * `279 `_: Backtraces when using ipdb do not respect -colour LightBG setting * `119 `_: Broken type filter in magic_who_ls * `271 `_: Intermittent problem with print output in Qt console. * `270 `_: Small typo in IPython developer’s guide * `166 `_: Add keyboard accelerators to Qt close dialog * `173 `_: asymmetrical ctrl-A/ctrl-E behavior in multiline * `45 `_: Autosave history for robustness * `162 `_: make command history persist in ipythonqt * `161 `_: make ipythonqt exit without dialog when exit() is called * `263 `_: [ipython + numpy] Some test errors * `256 `_: reset docstring ipython 0.10 * `258 `_: allow caching to avoid matplotlib object referrences * `248 `_: Can't open and read files after upgrade from 0.10 to 0.10.0 * `247 `_: ipython + Stackless * `245 `_: Magic save and macro missing newlines, line ranges don't match prompt numbers. * `241 `_: "exit" hangs on terminal version of IPython * `213 `_: ipython -pylab no longer plots interactively on 0.10.1 * `4 `_: wx frontend don't display well commands output * `5 `_: ls command not supported in ipythonx wx frontend * `1 `_: Document winhpcjob.py and launcher.py * `83 `_: Usage of testing.util.DeferredTestCase should be replace with twisted.trial.unittest.TestCase * `117 `_: Redesign how Component instances are tracked and queried * `47 `_: IPython.kernel.client cannot be imported inside an engine * `105 `_: Refactor the task dependencies system * `210 `_: 0.10.1 doc mistake - New IPython Sphinx directive error * `209 `_: can't activate IPython parallel magics * `206 `_: Buggy linewrap in Mac OSX Terminal * `194 `_: !sudo displays password in plain text * `186 `_: %edit issue under OS X 10.5 - IPython 0.10.1 * `11 `_: Create a daily build PPA for ipython * `144 `_: logo missing from sphinx docs * `181 `_: cls command does not work on windows * `169 `_: Kernel can only be bound to localhost * `36 `_: tab completion does not escape () * `177 `_: Report tracebacks of interactively entered input * `148 `_: dictionary having multiple keys having frozenset fails to print on iPython * `160 `_: magic_gui throws TypeError when gui magic is used * `150 `_: History entries ending with parentheses corrupt command line on OS X 10.6.4 * `146 `_: -ipythondir - using an alternative .ipython dir for rc type stuff * `114 `_: Interactive strings get mangled with "_ip.magic" * `135 `_: crash on invalid print * `69 `_: Usage of "mycluster" profile in docs and examples * `37 `_: Fix colors in output of ResultList on Windows ipython-2.4.1/docs/source/whatsnew/github-stats-0.12.rst0000644000076500000000000016324012466235755023311 0ustar minrkwheel00000000000000.. _issues_list_012: Issues closed in the 0.12 development cycle =========================================== Issues closed in 0.12.1 ----------------------- GitHub stats for bugfix release 0.12.1 (12/28/2011-04/16/2012), backporting pull requests from 0.13. We closed a total of 71 issues: 44 pull requests and 27 issues; this is the full list (generated with the script `tools/github_stats.py`). This list is automatically generated, and may be incomplete: Pull Requests (44): * :ghpull:`1175`: core.completer: Clean up excessive and unused code. * :ghpull:`1187`: misc notebook: connection file cleanup, first heartbeat, startup flush * :ghpull:`1190`: Fix link to Chris Fonnesbeck blog post about 0.11 highlights. * :ghpull:`1196`: docs: looks like a file path might have been accidentally pasted in the middle of a word * :ghpull:`1206`: don't preserve fixConsole output in json * :ghpull:`1207`: fix loadpy duplicating newlines * :ghpull:`1213`: BUG: Minor typo in history_console_widget.py * :ghpull:`1218`: Added -q option to %prun for suppression of the output, along with editing the dochelp string. * :ghpull:`1222`: allow Reference as callable in map/apply * :ghpull:`1229`: Fix display of SyntaxError in Python 3 * :ghpull:`1246`: Skip tests that require X, when importing pylab results in RuntimeError. * :ghpull:`1253`: set auto_create flag for notebook apps * :ghpull:`1257`: use self.kernel_manager_class in qtconsoleapp * :ghpull:`1262`: Heartbeat no longer shares the app's Context * :ghpull:`1283`: HeartMonitor.period should be an Integer * :ghpull:`1284`: a fix for GH 1269 * :ghpull:`1289`: Make autoreload extension work on Python 3. * :ghpull:`1306`: Fix %prun input parsing for escaped characters (closes #1302) * :ghpull:`1312`: minor heartbeat tweaks * :ghpull:`1318`: make Ctrl-D in qtconsole act same as in terminal (ready to merge) * :ghpull:`1341`: Don't attempt to tokenize binary files for tracebacks * :ghpull:`1353`: Save notebook as script using unicode file handle. * :ghpull:`1363`: Fix some minor color/style config issues in the qtconsole * :ghpull:`1364`: avoid jsonlib returning Decimal * :ghpull:`1369`: load header with engine id when engine dies in TaskScheduler * :ghpull:`1370`: allow draft76 websockets (Safari) * :ghpull:`1374`: remove calls to meaningless ZMQStream.on_err * :ghpull:`1377`: Saving non-ascii history * :ghpull:`1396`: Fix for %tb magic. * :ghpull:`1402`: fix symlinked /home issue for FreeBSD * :ghpull:`1413`: get_home_dir expands symlinks, adjust test accordingly * :ghpull:`1414`: ignore errors in shell.var_expand * :ghpull:`1430`: Fix for tornado check for tornado < 1.1.0 * :ghpull:`1445`: Don't build sphinx docs for sdists * :ghpull:`1463`: Fix completion when importing modules in the cwd. * :ghpull:`1477`: fix dangling `buffer` in IPython.parallel.util * :ghpull:`1495`: BUG: Fix pretty-printing for overzealous objects * :ghpull:`1496`: BUG: LBYL when clearing the output history on shutdown. * :ghpull:`1514`: DOC: Fix references to IPython.lib.pretty instead of the old location * :ghpull:`1517`: Fix indentation bug in IPython/lib/pretty.py * :ghpull:`1538`: store git commit hash in utils._sysinfo instead of hidden data file * :ghpull:`1599`: Fix for %run -d in Python 3 * :ghpull:`1602`: Fix %env for Python 3 * :ghpull:`1607`: cleanup sqlitedb temporary db file after tests Issues (27): * :ghissue:`676`: IPython.embed() from ipython crashes twice on exit * :ghissue:`846`: Autoreload extension doesn't work with Python 3.2 * :ghissue:`1187`: misc notebook: connection file cleanup, first heartbeat, startup flush * :ghissue:`1191`: profile/startup files not executed with "notebook" * :ghissue:`1197`: Interactive shell trying to: from ... import history * :ghissue:`1198`: Kernel Has Died error in Notebook * :ghissue:`1201`: %env magic fails with Python 3.2 * :ghissue:`1204`: double newline from %loadpy in python notebook (at least on mac) * :ghissue:`1208`: should dv.sync_import print failed imports ? * :ghissue:`1225`: SyntaxError display broken in Python 3 * :ghissue:`1232`: Dead kernel loop * :ghissue:`1241`: When our debugger class is used standalone `_oh` key errors are thrown * :ghissue:`1254`: typo in notebooklist.js breaks links * :ghissue:`1260`: heartbeat failure on long gil-holding operation * :ghissue:`1268`: notebook %reset magic fails with StdinNotImplementedError * :ghissue:`1269`: Another strange input handling error * :ghissue:`1281`: in Hub: registration_timeout must be an integer, but heartmonitor.period is CFloat * :ghissue:`1302`: Input parsing with %prun clobbers escapes * :ghissue:`1304`: controller/server load can disrupt heartbeat * :ghissue:`1317`: Very slow traceback construction from Cython extension * :ghissue:`1345`: notebook can't save unicode as script * :ghissue:`1375`: %history -g -f file encoding issue * :ghissue:`1401`: numpy arrays cannot be used with View.apply() in Python 3 * :ghissue:`1408`: test_get_home_dir_3 failed on Mac OS X * :ghissue:`1412`: Input parsing issue with %prun * :ghissue:`1421`: ipython32 %run -d breaks with NameError name 'execfile' is not defined * :ghissue:`1484`: unhide .git_commit_info.ini Issues closed in 0.12 --------------------- In this cycle, from August 1 to December 28 2011, we closed a total of 515 issues, 257 pull requests and 258 regular issues; this is the full list (generated with the script `tools/github_stats.py`). Pull requests (257): * `1174 `_: Remove %install_default_config and %install_profiles * `1178 `_: Correct string type casting in pinfo. * `1096 `_: Show class init and call tooltips in notebook * `1176 `_: Modifications to profile list * `1173 `_: don't load gui/pylab in console frontend * `1168 `_: Add --script flag as shorthand for notebook save_script option. * `1165 `_: encode image_tag as utf8 in [x]html export * `1161 `_: Allow %loadpy to load remote URLs that don't end in .py * `1158 `_: Add coding header when notebook exported to .py file. * `1160 `_: don't ignore ctrl-C during `%gui qt` * `1159 `_: Add encoding header to Python files downloaded from notebooks. * `1155 `_: minor post-execute fixes (#1154) * `1153 `_: Pager tearing bug * `1152 `_: Add support for displaying maptlotlib axes directly. * `1079 `_: Login/out button cleanups * `1151 `_: allow access to user_ns in prompt_manager * `1120 `_: updated vim-ipython (pending) * `1150 `_: BUG: Scrolling pager in vsplit on Mac OSX tears. * `1149 `_: #1148 (win32 arg_split) * `1147 `_: Put qtconsole forground when launching * `1146 `_: allow saving notebook.py next to notebook.ipynb * `1128 `_: fix pylab StartMenu item * `1140 `_: Namespaces for embedding * `1132 `_: [notebook] read-only: disable name field * `1125 `_: notebook : update logo * `1135 `_: allow customized template and static file paths for the notebook web app * `1122 `_: BUG: Issue #755 qt IPythonWidget.execute_file fails if filename contains... * `1137 `_: rename MPIExecLaunchers to MPILaunchers * `1130 `_: optionally ignore shlex's ValueError in arg_split * `1116 `_: Shlex unicode * `1073 `_: Storemagic plugin * `1143 `_: Add post_install script to create start menu entries in Python 3 * `1138 `_: Fix tests to work when ~/.config/ipython contains a symlink. * `1121 `_: Don't transform function calls on IPyAutocall objects * `1118 `_: protect CRLF from carriage-return action * `1105 `_: Fix for prompts containing newlines. * `1126 `_: Totally remove pager when read only (notebook) * `1091 `_: qtconsole : allow copy with shortcut in pager * `1114 `_: fix magics history in two-process ipython console * `1113 `_: Fixing #1112 removing failing asserts for test_carriage_return and test_beep * `1089 `_: Support carriage return ('\r') and beep ('\b') characters in the qtconsole * `1108 `_: Completer usability 2 (rebased of pr #1082) * `864 `_: Two-process terminal frontend (ipython core branch) * `1082 `_: usability and cross browser compat for completer * `1053 `_: minor improvements to text placement in qtconsole * `1106 `_: Fix display of errors in compiled code on Python 3 * `1077 `_: allow the notebook to run without MathJax * `1072 `_: If object has a getdoc() method, override its normal docstring. * `1059 `_: Switch to simple `__IPYTHON__` global * `1070 `_: Execution count after SyntaxError * `1098 `_: notebook: config section UI * `1101 `_: workaround spawnb missing from pexpect.__all__ * `1097 `_: typo, should fix #1095 * `1099 `_: qtconsole export xhtml/utf8 * `1083 `_: Prompts * `1081 `_: Fix wildcard search for updated namespaces * `1084 `_: write busy in notebook window title... * `1078 `_: PromptManager fixes * `1064 `_: Win32 shlex * `1069 `_: As you type completer, fix on Firefox * `1039 `_: Base of an as you type completer. * `1065 `_: Qtconsole fix racecondition * `507 `_: Prompt manager * `1056 `_: Warning in code. qtconsole ssh -X * `1036 `_: Clean up javascript based on js2-mode feedback. * `1052 `_: Pylab fix * `648 `_: Usermod * `969 `_: Pexpect-u * `1007 `_: Fix paste/cpaste bug and refactor/cleanup that code a lot. * `506 `_: make ENTER on a previous input field replace current input buffer * `1040 `_: json/jsonapi cleanup * `1042 `_: fix firefox (windows) break line on empty prompt number * `1015 `_: emacs freezes when tab is hit in ipython with latest python-mode * `1023 `_: flush stdout/stderr at the end of kernel init * `956 `_: Generate "All magics..." menu live * `1038 `_: Notebook: don't change cell when selecting code using shift+up/down. * `987 `_: Add Tooltip to notebook. * `1028 `_: Cleaner minimum version comparison * `998 `_: defer to stdlib for path.get_home_dir() * `1033 `_: update copyright to 2011/20xx-2011 * `1032 `_: Intercept avoid closing websocket on Firefox * `1030 `_: use pyzmq tools where appropriate * `1029 `_: Restore pspersistence, including %store magic, as an extension. * `1025 `_: Dollar escape * `999 `_: Fix issue #880 - more useful message to user when %paste fails * `938 `_: changes to get ipython.el to work with the latest python-mode.el * `1012 `_: Add logout button. * `1020 `_: Dollar formatter for ! shell calls * `1019 `_: Use repr() to make quoted strings * `1008 `_: don't use crash_handler by default * `1003 `_: Drop consecutive duplicates when refilling readline history * `997 `_: don't unregister interrupted post-exec functions * `996 `_: add Integer traitlet * `1016 `_: Fix password hashing for Python 3 * `1014 `_: escape minus signs in manpages * `1013 `_: [NumPyExampleDocstring] link was pointing to raw file * `1011 `_: Add hashed password support. * `1005 `_: Quick fix for os.system requiring str parameter * `994 `_: Allow latex formulas in HTML output * `955 `_: Websocket Adjustments * `979 `_: use system_raw in terminal, even on Windows * `989 `_: fix arguments for commands in _process_posix * `991 `_: Show traceback, continuing to start kernel if pylab init fails * `981 `_: Split likely multiline text when writing JSON notebooks * `957 `_: allow change of png DPI in inline backend * `968 `_: add wantDirectory to ipdoctest, so that directories will be checked for e * `984 `_: Do not expose variables defined at startup to %who etc. * `985 `_: Fixes for parallel code on Python 3 * `963 `_: disable calltips in PySide < 1.0.7 to prevent segfault * `976 `_: Getting started on what's new * `929 `_: Multiline history * `964 `_: Default profile * `961 `_: Disable the pager for the test suite * `953 `_: Physics extension * `950 `_: Add directory for startup files * `940 `_: allow setting HistoryManager.hist_file with config * `948 `_: Monkeypatch Tornado 2.1.1 so it works with Google Chrome 16. * `916 `_: Run p ( https://github.com/ipython/ipython/pull/901 ) * `923 `_: %config magic * `920 `_: unordered iteration of AsyncMapResults (+ a couple fixes) * `941 `_: Follow-up to 387dcd6a, `_rl.__doc__` is `None` with pyreadline * `931 `_: read-only notebook mode * `921 `_: Show invalid config message on TraitErrors during init * `815 `_: Fix #481 using custom qt4 input hook * `936 `_: Start webbrowser in a thread. Prevents lockup with Chrome. * `937 `_: add dirty trick for readline import on OSX * `913 `_: Py3 tests2 * `933 `_: Cancel in qt console closeevent should trigger event.ignore() * `930 `_: read-only notebook mode * `910 `_: Make import checks more explicit in %whos * `926 `_: reincarnate -V cmdline option * `928 `_: BUG: Set context for font size change shortcuts in ConsoleWidget * `901 `_: - There is a bug when running the profiler in the magic command (prun) with python3 * `912 `_: Add magic for cls on windows. Fix for #181. * `905 `_: enable %gui/%pylab magics in the Kernel * `909 `_: Allow IPython to run without sqlite3 * `887 `_: Qtconsole menu * `895 `_: notebook download implies save * `896 `_: Execfile * `899 `_: Brian's Notebook work * `892 `_: don't close figures every cycle with inline matplotlib backend * `893 `_: Adding clear_output to kernel and HTML notebook * `789 `_: Adding clear_output to kernel and HTML notebook. * `898 `_: Don't pass unicode sys.argv with %run or `ipython script.py` * `897 `_: Add tooltips to the notebook via 'title' attr. * `877 `_: partial fix for issue #678 * `838 `_: reenable multiline history for terminals * `872 `_: The constructor of Client() checks for AssertionError in validate_url to open a file instead of connection to a URL if it fails. * `884 `_: Notebook usability fixes * `883 `_: User notification if notebook saving fails * `889 `_: Add drop_by_id method to shell, to remove variables added by extensions. * `891 `_: Ability to open the notebook in a browser when it starts * `813 `_: Create menu bar for qtconsole * `876 `_: protect IPython from bad custom exception handlers * `856 `_: Backgroundjobs * `868 `_: Warn user if MathJax can't be fetched from notebook closes #744 * `878 `_: store_history=False default for run_cell * `824 `_: History access * `850 `_: Update codemirror to 2.15 and make the code internally more version-agnostic * `861 `_: Fix for issue #56 * `819 `_: Adding -m option to %run, similar to -m for python interpreter. * `855 `_: promote aliases and flags, to ensure they have priority over config files * `862 `_: BUG: Completion widget position and pager focus. * `847 `_: Allow connection to kernels by files * `708 `_: Two-process terminal frontend * `857 `_: make sdist flags work again (e.g. --manifest-only) * `835 `_: Add Tab key to list of keys that scroll down the paging widget. * `859 `_: Fix for issue #800 * `848 `_: Python3 setup.py install failiure * `845 `_: Tests on Python 3 * `802 `_: DOC: extensions: add documentation for the bundled extensions * `830 `_: contiguous stdout/stderr in notebook * `761 `_: Windows: test runner fails if repo path (e.g. home dir) contains spaces * `801 `_: Py3 notebook * `809 `_: use CFRunLoop directly in `ipython kernel --pylab osx` * `841 `_: updated old scipy.org links, other minor doc fixes * `837 `_: remove all trailling spaces * `834 `_: Issue https://github.com/ipython/ipython/issues/832 resolution * `746 `_: ENH: extensions: port autoreload to current API * `828 `_: fixed permissions (sub-modules should not be executable) + added shebang for run_ipy_in_profiler.py * `798 `_: pexpect & Python 3 * `804 `_: Magic 'range' crash if greater than len(input_hist) * `821 `_: update tornado dependency to 2.1 * `807 `_: Faciliate ssh tunnel sharing by announcing ports * `795 `_: Add cluster-id for multiple cluster instances per profile * `742 `_: Glut * `668 `_: Greedy completer * `776 `_: Reworking qtconsole shortcut, add fullscreen * `790 `_: TST: add future unicode_literals test (#786) * `775 `_: redirect_in/redirect_out should be constrained to windows only * `793 `_: Don't use readline in the ZMQShell * `743 `_: Pyglet * `774 `_: basic/initial .mailmap for nice shortlog summaries * `770 `_: #769 (reopened) * `784 `_: Parse user code to AST using compiler flags. * `783 `_: always use StringIO, never cStringIO * `782 `_: flush stdout/stderr on displayhook call * `622 `_: Make pylab import all configurable * `745 `_: Don't assume history requests succeed in qtconsole * `725 `_: don't assume cursor.selectedText() is a string * `778 `_: don't override execfile on Python 2 * `663 `_: Python 3 compatilibility work * `762 `_: qtconsole ipython widget's execute_file fails if filename contains spaces or quotes * `763 `_: Set context for shortcuts in ConsoleWidget * `722 `_: PyPy compatibility * `757 `_: ipython.el is broken in 0.11 * `764 `_: fix "--colors=" option in py-python-command-args. * `758 `_: use ROUTER/DEALER socket names instead of XREP/XREQ * `736 `_: enh: added authentication ability for webapp * `748 `_: Check for tornado before running frontend.html tests. * `754 `_: restore msg_id/msg_type aliases in top level of msg dict * `769 `_: Don't treat bytes objects as json-safe * `753 `_: DOC: msg['msg_type'] removed * `766 `_: fix "--colors=" option in py-python-command-args. * `765 `_: fix "--colors=" option in py-python-command-args. * `741 `_: Run PyOs_InputHook in pager to keep plot windows interactive. * `664 `_: Remove ipythonrc references from documentation * `750 `_: Tiny doc fixes * `433 `_: ZMQ terminal frontend * `734 `_: Allow %magic argument filenames with spaces to be specified with quotes under win32 * `731 `_: respect encoding of display data from urls * `730 `_: doc improvements for running notebook via secure protocol * `729 `_: use null char to start markdown cell placeholder * `727 `_: Minor fixes to the htmlnotebook * `726 `_: use bundled argparse if system argparse is < 1.1 * `705 `_: Htmlnotebook * `723 `_: Add 'import time' to IPython/parallel/apps/launcher.py as time.sleep is called without time being imported * `714 `_: Install mathjax for offline use * `718 `_: Underline keyboard shortcut characters on appropriate buttons * `717 `_: Add source highlighting to markdown snippets * `716 `_: update EvalFormatter to allow arbitrary expressions * `712 `_: Reset execution counter after cache is cleared * `713 `_: Align colons in html notebook help dialog * `709 `_: Allow usage of '.' in notebook names * `706 `_: Implement static publishing of HTML notebook * `674 `_: use argparse to parse aliases & flags * `679 `_: HistoryManager.get_session_info() * `696 `_: Fix columnize bug, where tab completion with very long filenames would crash Qt console * `686 `_: add ssh tunnel support to qtconsole * `685 `_: Add SSH tunneling to engines * `384 `_: Allow pickling objects defined interactively. * `647 `_: My fix rpmlint * `587 `_: don't special case for py3k+numpy * `703 `_: make config-loading debug messages more explicit * `699 `_: make calltips configurable in qtconsole * `666 `_: parallel tests & extra readline escapes * `683 `_: BF - allow nose with-doctest setting in environment * `689 `_: Protect ipkernel from bad messages * `702 `_: Prevent ipython.py launcher from being imported. * `701 `_: Prevent ipython.py from being imported by accident * `670 `_: check for writable dirs, not just existence, in utils.path * `579 `_: Sessionwork * `687 `_: add `ipython kernel` for starting just a kernel * `627 `_: Qt Console history search * `646 `_: Generate package list automatically in find_packages * `660 `_: i658 * `659 `_: don't crash on bad config files Regular issues (258): * `1177 `_: UnicodeDecodeError in py3compat from "xlrd??" * `1094 `_: Tooltip doesn't show constructor docstrings * `1170 `_: double pylab greeting with c.InteractiveShellApp.pylab = "tk" in zmqconsole * `1166 `_: E-mail cpaste broken * `1164 `_: IPython qtconsole (0.12) can't export to html with external png * `1103 `_: %loadpy should cut out encoding declaration * `1156 `_: Notebooks downloaded as Python files require a header stating the encoding * `1157 `_: Ctrl-C not working when GUI/pylab integration is active * `1154 `_: We should be less aggressive in de-registering post-execution functions * `1134 `_: "select-all, kill" leaves qtconsole in unusable state * `1148 `_: A lot of testerrors * `803 `_: Make doctests work with Python 3 * `1119 `_: Start menu shortcuts not created in Python 3 * `1136 `_: The embedding machinery ignores user_ns * `607 `_: Use the new IPython logo/font in the notebook header * `755 `_: qtconsole ipython widget's execute_file fails if filename contains spaces or quotes * `1115 `_: shlex_split should return unicode * `1109 `_: timeit with string ending in space gives "ValueError: No closing quotation" * `1142 `_: Install problems * `700 `_: Some SVG images render incorrectly in htmlnotebook * `1117 `_: quit() doesn't work in terminal * `1111 `_: ls broken after merge of #1089 * `1104 `_: Prompt spacing weird * `1124 `_: Seg Fault 11 when calling PySide using "run" command * `1088 `_: QtConsole : can't copy from pager * `568 `_: Test error and failure in IPython.core on windows * `1112 `_: testfailure in IPython.frontend on windows * `1102 `_: magic in IPythonDemo fails when not located at top of demo file * `629 `_: \r and \b in qtconsole don't behave as expected * `1080 `_: Notebook: tab completion should close on "(" * `973 `_: Qt Console close dialog and on-top Qt Console * `1087 `_: QtConsole xhtml/Svg export broken ? * `1067 `_: Parallel test suite hangs on Python 3 * `1018 `_: Local mathjax breaks install * `993 `_: `raw_input` redirection to foreign kernels is extremely brittle * `1100 `_: ipython3 traceback unicode issue from extensions * `1071 `_: Large html-notebooks hang on load on a slow machine * `89 `_: %pdoc np.ma.compress shows docstring twice * `22 `_: Include improvements from anythingipython.el * `633 `_: Execution count & SyntaxError * `1095 `_: Uncaught TypeError: Object has no method 'remove_and_cancell_tooltip' * `1075 `_: We're ignoring prompt customizations * `1086 `_: Can't open qtconsole from outside source tree * `1076 `_: namespace changes broke `foo.*bar*?` syntax * `1074 `_: pprinting old-style class objects fails (TypeError: 'tuple' object is not callable) * `1063 `_: IPython.utils test error due to missing unicodedata module * `592 `_: Bug in argument parsing for %run * `378 `_: Windows path escape issues * `1068 `_: Notebook tab completion broken in Firefox * `75 `_: No tab completion after "/ * `103 `_: customizable cpaste * `324 `_: Remove code in IPython.testing that is not being used * `131 `_: Global variables not seen by cprofile.run() * `851 `_: IPython shell swallows exceptions in certain circumstances * `882 `_: ipython freezes at start if IPYTHONDIR is on an NFS mount * `1057 `_: Blocker: Qt console broken after "all magics" menu became dynamic * `1027 `_: ipython does not like white space at end of file * `1058 `_: New bug: Notebook asks for confirmation to leave even saved pages. * `1061 `_: rep (magic recall) under pypy * `1047 `_: Document the notebook format * `102 `_: Properties accessed twice for classes defined interactively * `16 `_: %store raises exception when storing compiled regex * `67 `_: tab expansion should only take one directory level at the time * `62 `_: Global variables undefined in interactive use of embedded ipython shell * `57 `_: debugging with ipython does not work well outside ipython * `38 `_: Line entry edge case error * `980 `_: Update parallel docs for new parallel architecture * `1017 `_: Add small example about ipcluster/ssh startup * `1041 `_: Proxy Issues * `967 `_: KernelManagers don't use zmq eventloop properly * `1055 `_: "All Magics" display on Ubuntu * `1054 `_: ipython explodes on syntax error * `1051 `_: ipython3 set_next_input() failure * `693 `_: "run -i" no longer works after %reset in terminal * `29 `_: cPickle works in standard interpreter, but not in IPython * `1050 `_: ipython3 broken by commit 8bb887c8c2c447bf7 * `1048 `_: Update docs on notebook password * `1046 `_: Searies of questions/issues? * `1045 `_: crash when exiting - previously launched embedded sub-shell * `1043 `_: pylab doesn't work in qtconsole * `1044 `_: run -p doesn't work in python 3 * `1010 `_: emacs freezes when ipython-complete is called * `82 `_: Update devel docs with discussion about good changelogs * `116 `_: Update release management scipts and release.revision for git * `1022 `_: Pylab banner shows up with first cell to execute * `787 `_: Keyboard selection of multiple lines in the notebook behaves inconsistently * `1037 `_: notepad + jsonlib: TypeError: Only whitespace may be used for indentation. * `970 `_: Default home not writable, %HOME% does not help (windows) * `747 `_: HOMESHARE not a good choice for "writable homedir" on Windows * `810 `_: cleanup utils.path.get_home_dir * `2 `_: Fix the copyright statement in source code files to be accurate * `1031 `_: on Firefox crash websocket * `684 `_: %Store eliminated in configuration and magic commands in 0.11 * `1026 `_: BUG: wrong default parameter in ask_yes_no * `880 `_: Better error message if %paste fails * `1024 `_: autopx magic broken * `822 `_: Unicode bug in Itpl when expanding shell variables in syscalls with ! * `1009 `_: Windows: regression in cd magic handling of paths * `833 `_: Crash python with matplotlib and unequal length arrays * `695 `_: Crash handler initialization is too aggressive * `1000 `_: Remove duplicates when refilling readline history * `992 `_: Interrupting certain matplotlib operations leaves the inline backend 'wedged' * `942 `_: number traits should cast if value doesn't change * `1006 `_: ls crashes when run on a UNC path or with non-ascii args * `944 `_: Decide the default image format for inline figures: SVG or PNG? * `842 `_: Python 3 on Windows (pyreadline) - expected an object with the buffer interface * `1002 `_: ImportError due to incorrect version checking * `1001 `_: Ipython "source" command? * `954 `_: IPython embed doesn't respect namespaces * `681 `_: pdb freezes inside qtconsole * `698 `_: crash report "TypeError: can only concatenate list (not "unicode") to list" * `978 `_: ipython 0.11 buffers external command output till the cmd is done * `952 `_: Need user-facing warning in the browser if websocket connection fails * `988 `_: Error using idlsave * `990 `_: ipython notebook - kernel dies if matplotlib is not installed * `752 `_: Matplotlib figures showed only once in notebook * `54 `_: Exception hook should be optional for embedding IPython in GUIs * `918 `_: IPython.frontend tests fail without tornado * `986 `_: Views created with c.direct_view() fail * `697 `_: Filter out from %who names loaded at initialization time * `932 `_: IPython 0.11 quickref card has superfluous "%recall and" * `982 `_: png files with executable permissions * `914 `_: Simpler system for running code after InteractiveShell is initialised * `911 `_: ipython crashes on startup if readline is missing * `971 `_: bookmarks created in 0.11 are corrupt in 0.12 * `974 `_: object feature tab-completion crash * `939 `_: ZMQShell always uses default profile * `946 `_: Multi-tab Close action should offer option to leave all kernels alone * `949 `_: Test suite must not require any manual interaction * `643 `_: enable gui eventloop integration in ipkernel * `965 `_: ipython is crashed without launch.(python3.2) * `958 `_: Can't use os X clipboard on with qtconsole * `962 `_: Don't require tornado in the tests * `960 `_: crash on syntax error on Windows XP * `934 `_: The latest ipython branch doesn't work in Chrome * `870 `_: zmq version detection * `943 `_: HISTIGNORE for IPython * `947 `_: qtconsole segfaults at startup * `903 `_: Expose a magic to control config of the inline pylab backend * `908 `_: bad user config shouldn't crash IPython * `935 `_: Typing `break` causes IPython to crash. * `869 `_: Tab completion of `~/` shows no output post 0.10.x * `904 `_: whos under pypy1.6 * `773 `_: check_security_dir() and check_pid_dir() fail on network filesystem * `915 `_: OS X Lion Terminal.app line wrap problem * `886 `_: Notebook kernel crash when specifying --notebook-dir on commandline * `636 `_: debugger.py: pydb broken * `808 `_: Ctrl+C during %reset confirm message crash Qtconsole * `927 `_: Using return outside a function crashes ipython * `919 `_: Pop-up segfault when moving cursor out of qtconsole window * `181 `_: cls command does not work on windows * `917 `_: documentation typos * `818 `_: %run does not work with non-ascii characeters in path * `907 `_: Errors in custom completer functions can crash IPython * `867 `_: doc: notebook password authentication howto * `211 `_: paste command not working * `900 `_: Tab key should insert 4 spaces in qt console * `513 `_: [Qt console] cannot insert new lines into console functions using tab * `906 `_: qtconsoleapp 'parse_command_line' doen't like --existing anymore * `638 `_: Qt console --pylab=inline and getfigs(), etc. * `710 `_: unwanted unicode passed to args * `436 `_: Users should see tooltips for all buttons in the notebook UI * `207 `_: ipython crashes if atexit handler raises exception * `692 `_: use of Tracer() when debugging works but gives error messages * `690 `_: debugger does not print error message by default in 0.11 * `571 `_: history of multiline entries * `749 `_: IPython.parallel test failure under Windows 7 and XP * `890 `_: ipclusterapp.py - helep * `885 `_: `ws-hostname` alias not recognized by notebook * `881 `_: Missing manual.pdf? * `744 `_: cannot create notebook in offline mode if mathjax not installed * `865 `_: Make tracebacks from %paste show the code * `535 `_: exception unicode handling in %run is faulty in qtconsole * `817 `_: iPython crashed * `799 `_: %edit magic not working on windows xp in qtconsole * `732 `_: QTConsole wrongly promotes the index of the input line on which user presses Enter * `662 `_: ipython test failures on Mac OS X Lion * `650 `_: Handle bad config files better * `829 `_: We should not insert new lines after all print statements in the notebook * `874 `_: ipython-qtconsole: pyzmq Version Comparison * `640 `_: matplotlib macosx windows don't respond in qtconsole * `624 `_: ipython intermittently segfaults when figure is closed (Mac OS X) * `871 `_: Notebook crashes if a profile is used * `56 `_: Have %cpaste accept also Ctrl-D as a termination marker * `849 `_: Command line options to not override profile options * `806 `_: Provide single-port connection to kernels * `691 `_: [wishlist] Automatically find existing kernel * `688 `_: local security vulnerability: all ports visible to any local user. * `866 `_: DistributionNotFound on running ipython 0.11 on Windows XP x86 * `673 `_: raw_input appears to be round-robin for qtconsole * `863 `_: Graceful degradation when home directory not writable * `800 `_: Timing scripts with run -t -N fails on report output * `858 `_: Typing 'continue' makes ipython0.11 crash * `840 `_: all processes run on one CPU core * `843 `_: "import braces" crashes ipython * `836 `_: Strange Output after IPython Install * `839 `_: Qtconsole segfaults when mouse exits window with active tooltip * `827 `_: Add support for checking several limits before running task on engine * `826 `_: Add support for creation of parallel task when no engine is running * `832 `_: Improve error message for %logstop * `831 `_: %logstart in read-only directory forbid any further command * `814 `_: ipython does not start -- DistributionNotFound * `794 `_: Allow >1 controller per profile * `820 `_: Tab Completion feature * `812 `_: Qt console crashes on Ubuntu 11.10 * `816 `_: Import error using Python 2.7 and dateutil2.0 No module named _thread * `756 `_: qtconsole Windows fails to print error message for '%run nonexistent_file' * `651 `_: Completion doesn't work on element of a list * `617 `_: [qtconsole] %hist doesn't show anything in qtconsole * `786 `_: from __future__ import unicode_literals does not work * `779 `_: Using irunner from virtual evn uses systemwide ipython * `768 `_: codepage handling of output from scripts and shellcommands are not handled properly by qtconsole * `785 `_: Don't strip leading whitespace in repr() in notebook * `737 `_: in pickleshare.py line52 should be "if not os.path.isdir(self.root):"? * `738 `_: in ipthon_win_post_install.py line 38 * `777 `_: print(…, sep=…) raises SyntaxError * `728 `_: ipcontroller crash with MPI * `780 `_: qtconsole Out value prints before the print statements that precede it * `632 `_: IPython Crash Report (0.10.2) * `253 `_: Unable to install ipython on windows * `80 `_: Split IPClusterApp into multiple Application subclasses for each subcommand * `34 `_: non-blocking pendingResult partial results * `739 `_: Tests fail if tornado not installed * `719 `_: Better support Pypy * `667 `_: qtconsole problem with default pylab profile * `661 `_: ipythonrc referenced in magic command in 0.11 * `665 `_: Source introspection with ?? is broken * `724 `_: crash - ipython qtconsole, %quickref * `655 `_: ipython with qtconsole crashes * `593 `_: HTML Notebook Prompt can be deleted . . . * `563 `_: use argparse instead of kvloader for flags&aliases * `751 `_: Tornado version greater than 2.0 needed for firefox 6 * `720 `_: Crash report when importing easter egg * `740 `_: Ctrl-Enter clears line in notebook * `772 `_: ipengine fails on Windows with "XXX lineno: 355, opcode: 0" * `771 `_: Add python 3 tag to setup.py * `767 `_: non-ascii in __doc__ string crashes qtconsole kernel when showing tooltip * `733 `_: In Windows, %run fails to strip quotes from filename * `721 `_: no completion in emacs by ipython(ipython.el) * `669 `_: Do not accept an ipython_dir that's not writeable * `711 `_: segfault on mac os x * `500 `_: "RuntimeError: Cannot change input buffer during execution" in console_widget.py * `707 `_: Copy and paste keyboard shortcuts do not work in Qt Console on OS X * `478 `_: PyZMQ's use of memoryviews breaks reconstruction of numpy arrays * `694 `_: Turning off callout tips in qtconsole * `704 `_: return kills IPython * `442 `_: Users should have intelligent autoindenting in the notebook * `615 `_: Wireframe and implement a project dashboard page * `614 `_: Wireframe and implement a notebook dashboard page * `606 `_: Users should be able to use the notebook to import/export a notebook to .py or .rst * `604 `_: A user should be able to leave a kernel running in the notebook and reconnect * `298 `_: Users should be able to save a notebook and then later reload it * `649 `_: ipython qtconsole (v0.11): setting "c.IPythonWidget.in_prompt = '>>> ' crashes * `672 `_: What happened to Exit? * `658 `_: Put the InteractiveShellApp section first in the auto-generated config files * `656 `_: [suggestion] dependency checking for pyqt for Windows installer * `654 `_: broken documentation link on download page * `653 `_: Test failures in IPython.parallel ipython-2.4.1/docs/source/whatsnew/github-stats-0.13.rst0000644000076500000000000021433712466235755023316 0ustar minrkwheel00000000000000.. _issues_list_013: Issues closed in the 0.13 development cycle =========================================== Issues closed in 0.13 --------------------- GitHub stats since IPython 0.12 (2011/12/19 - 2012/06/30) These lists are automatically generated, and may be incomplete or contain duplicates. The following 62 authors contributed 1760 commits. * Aaron Culich * Aaron Meurer * Alex Kramer * Andrew Giessel * Andrew Straw * André Matos * Aron Ahmadia * Ben Edwards * Benjamin Ragan-Kelley * Bradley M. Froehle * Brandon Parsons * Brian E. Granger * Carlos Cordoba * David Hirschfeld * David Zderic * Ernie French * Fernando Perez * Ian Murray * Jason Grout * Jens H Nielsen * Jez Ng * Jonathan March * Jonathan Taylor * Julian Taylor * Jörgen Stenarson * Kent Inverarity * Marc Abramowitz * Mark Wiebe * Matthew Brett * Matthias BUSSONNIER * Michael Droettboom * Mike Hansen * Nathan Rice * Pankaj Pandey * Paul * Paul Ivanov * Piotr Zolnierczuk * Piti Ongmongkolkul * Puneeth Chaganti * Robert Kern * Ross Jones * Roy Hyunjin Han * Scott Tsai * Skipper Seabold * Stefan van der Walt * Steven Johnson * Takafumi Arakaki * Ted Wright * Thomas Hisch * Thomas Kluyver * Thomas Spura * Thomi Richards * Tim Couper * Timo Paulssen * Toby Gilham * Tony S Yu * W. Trevor King * Walter Doerwald * anatoly techtonik * fawce * mcelrath * wilsaj We closed a total of 1115 issues, 373 pull requests and 742 regular issues; this is the full list (generated with the script :file:`tools/github_stats.py`): Pull Requests (373): * :ghpull:`1943`: add screenshot and link into releasenotes * :ghpull:`1954`: update some example notebooks * :ghpull:`2048`: move _encode_binary to jsonutil.encode_images * :ghpull:`2050`: only add quotes around xunit-file on Windows * :ghpull:`2047`: disable auto-scroll on mozilla * :ghpull:`2015`: Fixes for %paste with special transformations * :ghpull:`2046`: Iptest unicode * :ghpull:`1939`: Namespaces * :ghpull:`2042`: increase auto-scroll threshold to 100 lines * :ghpull:`2043`: move RemoteError import to top-level * :ghpull:`2036`: %alias_magic * :ghpull:`1968`: Proposal of icons for .ipynb files * :ghpull:`2037`: remove `ipython-qtconsole` gui-script * :ghpull:`2038`: add extra clear warning to shell doc * :ghpull:`2029`: Ship unminified js * :ghpull:`2007`: Add custom_control and custom_page_control variables to override the Qt widgets used by qtconsole * :ghpull:`2034`: fix&test push/pull recarrays * :ghpull:`2028`: Reduce unhelpful information shown by pinfo * :ghpull:`2030`: check wxPython version in inputhook * :ghpull:`2024`: Make interactive_usage a bit more rst friendly * :ghpull:`2031`: disable ^C^C confirmation on Windows * :ghpull:`2027`: match stdin encoding in frontend readline test * :ghpull:`2025`: Fix parallel test on WinXP - wait for resource cleanup. * :ghpull:`2016`: BUG: test runner fails in Windows if filenames contain spaces. * :ghpull:`2020`: Fix home path expansion test in Windows. * :ghpull:`2021`: Fix Windows pathname issue in 'odd encoding' test. * :ghpull:`2022`: don't check writability in test for get_home_dir when HOME is undefined * :ghpull:`1996`: frontend test tweaks * :ghpull:`2014`: relax profile regex in notebook * :ghpull:`2012`: Mono cursor offset * :ghpull:`2004`: Clarify generic message spec vs. Python message API in docs * :ghpull:`2010`: notebook: Print a warning (but do not abort) if no webbrowser can be found. * :ghpull:`2002`: Refactor %magic into a lsmagic_docs API function. * :ghpull:`1999`: `%magic` help: display line and cell magics in alphabetical order. * :ghpull:`1981`: Clean BG processes created by %%script on kernel exit * :ghpull:`1994`: Fix RST misformatting. * :ghpull:`1951`: minor notebook startup/notebook-dir adjustments * :ghpull:`1974`: Allow path completion on notebook. * :ghpull:`1964`: allow multiple instances of a Magic * :ghpull:`1991`: fix _ofind attr in %page * :ghpull:`1988`: check for active frontend in update_restart_checkbox * :ghpull:`1979`: Add support for tox (http://tox.testrun.org/) and Travis CI (http://travis-ci.org/) * :ghpull:`1970`: dblclick to restore size of images * :ghpull:`1978`: Notebook names truncating at the first period * :ghpull:`1825`: second attempt at scrolled long output * :ghpull:`1934`: Cell/Worksheet metadata * :ghpull:`1746`: Confirm restart (configuration option, and checkbox UI) * :ghpull:`1944`: [qtconsole] take %,%% prefix into account for completion * :ghpull:`1973`: fix another FreeBSD $HOME symlink issue * :ghpull:`1967`: Fix psums example description in docs * :ghpull:`1965`: fix for #1678, undo no longer clears cells * :ghpull:`1952`: avoid duplicate "Websockets closed" dialog on ws close * :ghpull:`1962`: Support unicode prompts * :ghpull:`1955`: update to latest version of vim-ipython * :ghpull:`1945`: Add --proc option to %%script * :ghpull:`1956`: move import RemoteError after get_exc_info * :ghpull:`1950`: Fix for copy action (Ctrl+C) when there is no pager defined in qtconsole * :ghpull:`1948`: Fix help string for InteractiveShell.ast_node_interactivity * :ghpull:`1942`: swallow stderr of which in utils.process.find_cmd * :ghpull:`1940`: fix completer css on some Chrome versions * :ghpull:`1938`: remove remaining references to deprecated XREP/XREQ names * :ghpull:`1925`: Fix styling of superscripts and subscripts. Closes #1924. * :ghpull:`1936`: increase duration of save messages * :ghpull:`1937`: add %save -f * :ghpull:`1935`: add version checking to pyreadline import test * :ghpull:`1849`: Octave magics * :ghpull:`1759`: github, merge PR(s) just by number(s) * :ghpull:`1931`: Win py3fixes * :ghpull:`1933`: oinspect.find_file: Additional safety if file cannot be found. * :ghpull:`1932`: Fix adding functions to CommandChainDispatcher with equal priority on Py 3 * :ghpull:`1928`: Select NoDB by default * :ghpull:`1923`: Add IPython syntax support to the %timeit magic, in line and cell mode * :ghpull:`1926`: Make completer recognize escaped quotes in strings. * :ghpull:`1893`: Update Parallel Magics and Exception Display * :ghpull:`1921`: magic_arguments: dedent but otherwise preserve indentation. * :ghpull:`1919`: Use oinspect in CodeMagics._find_edit_target * :ghpull:`1918`: don't warn in iptest if deathrow/quarantine are missing * :ghpull:`1917`: Fix for %pdef on Python 3 * :ghpull:`1913`: Fix for #1428 * :ghpull:`1911`: temporarily skip autoreload tests * :ghpull:`1909`: Fix for #1908, use os.path.normcase for safe filename comparisons * :ghpull:`1907`: py3compat fixes for %%script and tests * :ghpull:`1906`: ofind finds non-unique cell magics * :ghpull:`1845`: Fixes to inspection machinery for magics * :ghpull:`1902`: Workaround fix for gh-1632; minimal revert of gh-1424 * :ghpull:`1900`: Cython libs * :ghpull:`1899`: add ScriptMagics to class list for generated config * :ghpull:`1898`: minimize manpages * :ghpull:`1897`: use glob for bad exclusion warning * :ghpull:`1855`: %%script and %%file magics * :ghpull:`1870`: add %%capture for capturing stdout/err * :ghpull:`1861`: Use dvipng to format sympy.Matrix * :ghpull:`1867`: Fix 1px margin bouncing of selected menu item. * :ghpull:`1889`: Reconnect when the websocket connection closes unexpectedly * :ghpull:`1886`: Fix a bug in renaming notebook * :ghpull:`1895`: Fix error in test suite with ip.system() * :ghpull:`1762`: add `locate` entry points * :ghpull:`1883`: Fix vertical offset due to bold/italics, and bad browser fonts. * :ghpull:`1875`: re-write columnize, with intermediate step. * :ghpull:`1851`: new completer for qtconsole. * :ghpull:`1892`: Remove suspicious quotes in interactiveshell.py * :ghpull:`1864`: Rmagic exceptions * :ghpull:`1829`: [notebook] don't care about leading prct in completion * :ghpull:`1832`: Make svg, jpeg and png images resizable in notebook. * :ghpull:`1674`: HTML Notebook carriage-return handling, take 2 * :ghpull:`1882`: Remove importlib dependency which not available in Python 2.6. * :ghpull:`1879`: Correct stack depth for variable expansion in !system commands * :ghpull:`1841`: [notebook] deduplicate completion results * :ghpull:`1850`: Remove args/kwargs handling in TryNext, fix %paste error messages. * :ghpull:`1663`: Keep line-endings in ipynb * :ghpull:`1815`: Make : invalid in filenames in the Notebook JS code. * :ghpull:`1819`: doc: cleanup the parallel psums example a little * :ghpull:`1839`: External cleanup * :ghpull:`1782`: fix Magic menu in qtconsole, split in groups * :ghpull:`1862`: Minor bind_kernel improvements * :ghpull:`1857`: Prevent jumping of window to input when output is clicked. * :ghpull:`1856`: Fix 1px jumping of cells and menus in Notebook. * :ghpull:`1852`: fix chained resubmissions * :ghpull:`1780`: Rmagic extension * :ghpull:`1847`: add InlineBackend to ConsoleApp class list * :ghpull:`1836`: preserve header for resubmitted tasks * :ghpull:`1828`: change default extension to .ipy for %save -r * :ghpull:`1800`: Reintroduce recall * :ghpull:`1830`: lsmagic lists magics in alphabetical order * :ghpull:`1773`: Update SymPy profile: SymPy's latex() can now print set and frozenset * :ghpull:`1761`: Edited documentation to use IPYTHONDIR in place of ~/.ipython * :ghpull:`1822`: aesthetics pass on AsyncResult.display_outputs * :ghpull:`1821`: ENTER submits the rename notebook dialog. * :ghpull:`1820`: NotebookApp: Make the number of ports to retry user configurable. * :ghpull:`1816`: Always use filename as the notebook name. * :ghpull:`1813`: Add assert_in method to nose for Python 2.6 * :ghpull:`1711`: New Tooltip, New Completer and JS Refactor * :ghpull:`1798`: a few simple fixes for docs/parallel * :ghpull:`1812`: Ensure AsyncResult.display_outputs doesn't display empty streams * :ghpull:`1811`: warn on nonexistent exclusions in iptest * :ghpull:`1810`: fix for #1809, failing tests in IPython.zmq * :ghpull:`1808`: Reposition alternate upload for firefox [need cross browser/OS/language test] * :ghpull:`1742`: Check for custom_exceptions only once * :ghpull:`1807`: add missing cython exclusion in iptest * :ghpull:`1805`: Fixed a vcvarsall.bat error on win32/Py2.7 when trying to compile with m... * :ghpull:`1739`: Dashboard improvement (necessary merge of #1658 and #1676 + fix #1492) * :ghpull:`1770`: Cython related magic functions * :ghpull:`1707`: Accept --gui=<...> switch in IPython qtconsole. * :ghpull:`1797`: Fix comment which breaks Emacs syntax highlighting. * :ghpull:`1795`: fix %gui magic * :ghpull:`1793`: Raise repr limit for strings to 80 characters (from 30). * :ghpull:`1794`: don't use XDG path on OS X * :ghpull:`1792`: Unicode-aware logger * :ghpull:`1791`: update zmqshell magics * :ghpull:`1787`: DOC: Remove regression from qt-console docs. * :ghpull:`1758`: test_pr, fallback on http if git protocol fail, and SSL errors... * :ghpull:`1748`: Fix some tests for Python 3.3 * :ghpull:`1755`: test for pygments before running qt tests * :ghpull:`1771`: Make default value of interactivity passed to run_ast_nodes configurable * :ghpull:`1784`: restore loadpy to load * :ghpull:`1768`: Update parallel magics * :ghpull:`1779`: Tidy up error raising in magic decorators. * :ghpull:`1769`: Allow cell mode timeit without setup code. * :ghpull:`1716`: Fix for fake filenames in verbose traceback * :ghpull:`1763`: [qtconsole] fix append_plain_html -> append_html * :ghpull:`1732`: Refactoring of the magics system and implementation of cell magics * :ghpull:`1630`: Merge divergent Kernel implementations * :ghpull:`1705`: [notebook] Make pager resizable, and remember size... * :ghpull:`1606`: Share code for %pycat and %loadpy, make %pycat aware of URLs * :ghpull:`1757`: Open IPython notebook hyperlinks in a new window using target=_blank * :ghpull:`1754`: Fix typo enconters->encounters * :ghpull:`1753`: Clear window title when kernel is restarted * :ghpull:`1449`: Fix for bug #735 : Images missing from XML/SVG export * :ghpull:`1743`: Tooltip completer js refactor * :ghpull:`1681`: add qt config option to clear_on_kernel_restart * :ghpull:`1733`: Tooltip completer js refactor * :ghpull:`1727`: terminate kernel after embed_kernel tests * :ghpull:`1737`: add HistoryManager to ipapp class list * :ghpull:`1686`: ENH: Open a notebook from the command line * :ghpull:`1709`: fixes #1708, failing test in arg_split on windows * :ghpull:`1718`: Use CRegExp trait for regular expressions. * :ghpull:`1729`: Catch failure in repr() for %whos * :ghpull:`1726`: use eval for command-line args instead of exec * :ghpull:`1724`: fix scatter/gather with targets='all' * :ghpull:`1725`: add --no-ff to git pull in test_pr * :ghpull:`1721`: Tooltip completer js refactor * :ghpull:`1657`: Add `wait` optional argument to `hooks.editor` * :ghpull:`1717`: Define generic sys.ps{1,2,3}, for use by scripts. * :ghpull:`1691`: Finish PR #1446 * :ghpull:`1710`: update MathJax CDN url for https * :ghpull:`1713`: Make autocall regexp's configurable. * :ghpull:`1703`: Allow TryNext to have an error message without it affecting the command chain * :ghpull:`1714`: minor adjustments to test_pr * :ghpull:`1704`: ensure all needed qt parts can be imported before settling for one * :ghpull:`1706`: Mark test_push_numpy_nocopy as a known failure for Python 3 * :ghpull:`1698`: fix tooltip on token with number * :ghpull:`1245`: pythonw py3k fixes for issue #1226 * :ghpull:`1685`: Add script to test pull request * :ghpull:`1693`: deprecate IPYTHON_DIR in favor of IPYTHONDIR * :ghpull:`1695`: Avoid deprecated warnings from ipython-qtconsole.desktop. * :ghpull:`1694`: Add quote to notebook to allow it to load * :ghpull:`1689`: Fix sys.path missing '' as first entry in `ipython kernel`. * :ghpull:`1687`: import Binary from bson instead of pymongo * :ghpull:`1616`: Make IPython.core.display.Image less notebook-centric * :ghpull:`1684`: CLN: Remove redundant function definition. * :ghpull:`1670`: Point %pastebin to gist * :ghpull:`1669`: handle pyout messages in test_message_spec * :ghpull:`1295`: add binary-tree engine interconnect example * :ghpull:`1642`: Cherry-picked commits from 0.12.1 release * :ghpull:`1659`: Handle carriage return characters ("\r") in HTML notebook output. * :ghpull:`1656`: ensure kernels are cleaned up in embed_kernel tests * :ghpull:`1664`: InteractiveShell.run_code: Update docstring. * :ghpull:`1662`: Delay flushing softspace until after cell finishes * :ghpull:`1643`: handle jpg/jpeg in the qtconsole * :ghpull:`1652`: add patch_pyzmq() for backporting a few changes from newer pyzmq * :ghpull:`1650`: DOC: moving files with SSH launchers * :ghpull:`1357`: add IPython.embed_kernel() * :ghpull:`1640`: Finish up embed_kernel * :ghpull:`1651`: Remove bundled Itpl module * :ghpull:`1634`: incremental improvements to SSH launchers * :ghpull:`1649`: move examples/test_embed into examples/tests/embed * :ghpull:`1633`: Fix installing extension from local file on Windows * :ghpull:`1645`: Exclude UserDict when deep reloading NumPy. * :ghpull:`1637`: Removed a ':' which shouldn't have been there * :ghpull:`1631`: TST: QApplication doesn't quit early enough with PySide. * :ghpull:`1629`: evaluate a few dangling validate_message generators * :ghpull:`1621`: clear In[] prompt numbers on "Clear All Output" * :ghpull:`1627`: Test the Message Spec * :ghpull:`1624`: Fixes for byte-compilation on Python 3 * :ghpull:`1615`: Add show() method to figure objects. * :ghpull:`1625`: Fix deepreload on Python 3 * :ghpull:`1620`: pyin message now have execution_count * :ghpull:`1457`: Update deepreload to use a rewritten knee.py. Fixes dreload(numpy). * :ghpull:`1613`: allow map / parallel function for single-engine views * :ghpull:`1609`: exit notebook cleanly on SIGINT, SIGTERM * :ghpull:`1607`: cleanup sqlitedb temporary db file after tests * :ghpull:`1608`: don't rely on timedelta.total_seconds in AsyncResult * :ghpull:`1599`: Fix for %run -d on Python 3 * :ghpull:`1602`: Fix %env magic on Python 3. * :ghpull:`1603`: Remove python3 profile * :ghpull:`1604`: Exclude IPython.quarantine from installation * :ghpull:`1600`: Specify encoding for io.open in notebook_reformat tests * :ghpull:`1605`: Small fixes for Animation and Progress notebook * :ghpull:`1529`: __all__ feature, improvement to dir2, and tests for both * :ghpull:`1548`: add sugar methods/properties to AsyncResult * :ghpull:`1535`: Fix pretty printing dispatch * :ghpull:`1399`: Use LaTeX to print various built-in types with the SymPy printing extension * :ghpull:`1597`: re-enter kernel.eventloop after catching SIGINT * :ghpull:`1490`: rename plaintext cell -> raw cell * :ghpull:`1480`: Fix %notebook magic, etc. nbformat unicode tests and fixes * :ghpull:`1588`: Gtk3 integration with ipython works. * :ghpull:`1595`: Examples syntax (avoid errors installing on Python 3) * :ghpull:`1526`: Find encoding for Python files * :ghpull:`1594`: Fix writing git commit ID to a file on build with Python 3 * :ghpull:`1556`: shallow-copy DictDB query results * :ghpull:`1502`: small changes in response to pyflakes pass * :ghpull:`1445`: Don't build sphinx docs for sdists * :ghpull:`1538`: store git commit hash in utils._sysinfo instead of hidden data file * :ghpull:`1546`: attempt to suppress exceptions in channel threads at shutdown * :ghpull:`1559`: update tools/github_stats.py to use GitHub API v3 * :ghpull:`1563`: clear_output improvements * :ghpull:`1560`: remove obsolete discussion of Twisted/trial from testing docs * :ghpull:`1569`: BUG: qtconsole -- non-standard handling of \a and \b. [Fixes #1561] * :ghpull:`1573`: BUG: Ctrl+C crashes wx pylab kernel in qtconsole. * :ghpull:`1568`: fix PR #1567 * :ghpull:`1567`: Fix: openssh_tunnel did not parse port in `server` * :ghpull:`1565`: fix AsyncResult.abort * :ghpull:`1552`: use os.getcwdu in NotebookManager * :ghpull:`1541`: display_pub flushes stdout/err * :ghpull:`1544`: make MultiKernelManager.kernel_manager_class configurable * :ghpull:`1517`: Fix indentation bug in IPython/lib/pretty.py * :ghpull:`1519`: BUG: Include the name of the exception type in its pretty format. * :ghpull:`1489`: Fix zero-copy push * :ghpull:`1477`: fix dangling `buffer` in IPython.parallel.util * :ghpull:`1514`: DOC: Fix references to IPython.lib.pretty instead of the old location * :ghpull:`1481`: BUG: Improve placement of CallTipWidget * :ghpull:`1496`: BUG: LBYL when clearing the output history on shutdown. * :ghpull:`1508`: fix sorting profiles in clustermanager * :ghpull:`1495`: BUG: Fix pretty-printing for overzealous objects * :ghpull:`1472`: more general fix for #662 * :ghpull:`1483`: updated magic_history docstring * :ghpull:`1383`: First version of cluster web service. * :ghpull:`1398`: fix %tb after SyntaxError * :ghpull:`1440`: Fix for failing testsuite when using --with-xml-coverage on windows. * :ghpull:`1419`: Add %install_ext magic function. * :ghpull:`1424`: Win32 shell interactivity * :ghpull:`1468`: Simplify structure of a Job in the TaskScheduler * :ghpull:`1447`: 1107 - Tab autocompletion can suggest invalid syntax * :ghpull:`1469`: Fix typo in comment (insert space) * :ghpull:`1463`: Fix completion when importing modules in the cwd. * :ghpull:`1466`: Fix for issue #1437, unfriendly windows qtconsole error handling * :ghpull:`1432`: Fix ipython directive * :ghpull:`1465`: allow `ipython help subcommand` syntax * :ghpull:`1416`: Conditional import of ctypes in inputhook * :ghpull:`1462`: expedite parallel tests * :ghpull:`1410`: Add javascript library and css stylesheet loading to JS class. * :ghpull:`1448`: Fix for #875 Never build unicode error messages * :ghpull:`1458`: use eval to uncan References * :ghpull:`1450`: load mathjax from CDN via https * :ghpull:`1451`: include heading level in JSON * :ghpull:`1444`: Fix pyhton -> python typos * :ghpull:`1414`: ignore errors in shell.var_expand * :ghpull:`1430`: Fix for tornado check for tornado < 1.1.0 * :ghpull:`1413`: get_home_dir expands symlinks, adjust test accordingly * :ghpull:`1385`: updated and prettified magic doc strings * :ghpull:`1406`: Browser selection * :ghpull:`1377`: Saving non-ascii history * :ghpull:`1402`: fix symlinked /home issue for FreeBSD * :ghpull:`1405`: Only monkeypatch xunit when the tests are run using it. * :ghpull:`1395`: Xunit & KnownFailure * :ghpull:`1396`: Fix for %tb magic. * :ghpull:`1386`: Jsd3 * :ghpull:`1388`: Add simple support for running inside a virtualenv * :ghpull:`1391`: Improve Hub/Scheduler when no engines are registered * :ghpull:`1369`: load header with engine id when engine dies in TaskScheduler * :ghpull:`1353`: Save notebook as script using unicode file handle. * :ghpull:`1352`: Add '-m mod : run library module as a script' option. * :ghpull:`1363`: Fix some minor color/style config issues in the qtconsole * :ghpull:`1371`: Adds a quiet keyword to sync_imports * :ghpull:`1387`: Fixing Cell menu to update cell type select box. * :ghpull:`1296`: Wx gui example: fixes the broken example for `%gui wx`. * :ghpull:`1372`: ipcontroller cleans up connection files unless reuse=True * :ghpull:`1374`: remove calls to meaningless ZMQStream.on_err * :ghpull:`1370`: allow draft76 websockets (Safari) * :ghpull:`1368`: Ensure handler patterns are str, not unicode * :ghpull:`1361`: Notebook bug fix branch * :ghpull:`1364`: avoid jsonlib returning Decimal * :ghpull:`1362`: Don't log complete contents of history replies, even in debug * :ghpull:`1347`: fix weird magic completion in notebook * :ghpull:`1346`: fixups for alternate URL prefix stuff * :ghpull:`1336`: crack at making notebook.html use the layout.html template * :ghpull:`1331`: RST and heading cells * :ghpull:`1247`: fixes a bug causing extra newlines after comments. * :ghpull:`1332`: notebook - allow prefixes in URL path. * :ghpull:`1341`: Don't attempt to tokenize binary files for tracebacks * :ghpull:`1334`: added key handler for control-s to notebook, seems to work pretty well * :ghpull:`1338`: Fix see also in docstrings so API docs build * :ghpull:`1335`: Notebook toolbar UI * :ghpull:`1299`: made notebook.html extend layout.html * :ghpull:`1318`: make Ctrl-D in qtconsole act same as in terminal (ready to merge) * :ghpull:`1328`: Coverage * :ghpull:`1206`: don't preserve fixConsole output in json * :ghpull:`1330`: Add linewrapping to text cells (new feature in CodeMirror). * :ghpull:`1309`: Inoculate clearcmd extension into %reset functionality * :ghpull:`1327`: Updatecm2 * :ghpull:`1326`: Removing Ace edit capability. * :ghpull:`1325`: forgotten selected_cell -> get_selected_cell * :ghpull:`1316`: Pass subprocess test runners a suitable location for xunit output * :ghpull:`1303`: Updatecm * :ghpull:`1312`: minor heartbeat tweaks * :ghpull:`1306`: Fix %prun input parsing for escaped characters (closes #1302) * :ghpull:`1301`: New "Fix for issue #1202" based on current master. * :ghpull:`1289`: Make autoreload extension work on Python 3. * :ghpull:`1288`: Don't ask for confirmation when stdin isn't available * :ghpull:`1294`: TaskScheduler.hwm default to 1 instead of 0 * :ghpull:`1283`: HeartMonitor.period should be an Integer * :ghpull:`1264`: Aceify * :ghpull:`1284`: a fix for GH 1269 * :ghpull:`1213`: BUG: Minor typo in history_console_widget.py * :ghpull:`1267`: add NoDB for non-recording Hub * :ghpull:`1222`: allow Reference as callable in map/apply * :ghpull:`1257`: use self.kernel_manager_class in qtconsoleapp * :ghpull:`1253`: set auto_create flag for notebook apps * :ghpull:`1262`: Heartbeat no longer shares the app's Context * :ghpull:`1229`: Fix display of SyntaxError in Python 3 * :ghpull:`1256`: Dewijmoize * :ghpull:`1246`: Skip tests that require X, when importing pylab results in RuntimeError. * :ghpull:`1211`: serve local files in notebook-dir * :ghpull:`1224`: edit text cells on double-click instead of single-click * :ghpull:`1187`: misc notebook: connection file cleanup, first heartbeat, startup flush * :ghpull:`1207`: fix loadpy duplicating newlines * :ghpull:`1129`: Unified setup.py * :ghpull:`1199`: Reduce IPython.external.* * :ghpull:`1218`: Added -q option to %prun for suppression of the output, along with editing the dochelp string. * :ghpull:`1217`: Added -q option to %prun for suppression of the output, along with editing the dochelp string * :ghpull:`1175`: core.completer: Clean up excessive and unused code. * :ghpull:`1196`: docs: looks like a file path might have been accidentally pasted in the middle of a word * :ghpull:`1190`: Fix link to Chris Fonnesbeck blog post about 0.11 highlights. Issues (742): * :ghissue:`1943`: add screenshot and link into releasenotes * :ghissue:`1570`: [notebook] remove 'left panel' references from example. * :ghissue:`1954`: update some example notebooks * :ghissue:`2048`: move _encode_binary to jsonutil.encode_images * :ghissue:`2050`: only add quotes around xunit-file on Windows * :ghissue:`2047`: disable auto-scroll on mozilla * :ghissue:`1258`: Magic %paste error * :ghissue:`2015`: Fixes for %paste with special transformations * :ghissue:`760`: Windows: test runner fails if repo path contains spaces * :ghissue:`2046`: Iptest unicode * :ghissue:`1939`: Namespaces * :ghissue:`2042`: increase auto-scroll threshold to 100 lines * :ghissue:`2043`: move RemoteError import to top-level * :ghissue:`641`: In %magic help, remove duplicate aliases * :ghissue:`2036`: %alias_magic * :ghissue:`1968`: Proposal of icons for .ipynb files * :ghissue:`825`: keyboardinterrupt crashes gtk gui when gtk.set_interactive is not available * :ghissue:`1971`: Remove duplicate magics docs * :ghissue:`2040`: Namespaces for cleaner public APIs * :ghissue:`2039`: ipython parallel import exception * :ghissue:`2035`: Getdefaultencoding test error with sympy 0.7.1_git * :ghissue:`2037`: remove `ipython-qtconsole` gui-script * :ghissue:`1516`: ipython-qtconsole script isn't installed for Python 2.x * :ghissue:`1297`: "ipython -p sh" is in documentation but doesn't work * :ghissue:`2038`: add extra clear warning to shell doc * :ghissue:`1265`: please ship unminified js and css sources * :ghissue:`2029`: Ship unminified js * :ghissue:`1920`: Provide an easy way to override the Qt widget used by qtconsole * :ghissue:`2007`: Add custom_control and custom_page_control variables to override the Qt widgets used by qtconsole * :ghissue:`2009`: In %magic help, remove duplicate aliases * :ghissue:`2033`: ipython parallel pushing and pulling recarrays * :ghissue:`2034`: fix&test push/pull recarrays * :ghissue:`2028`: Reduce unhelpful information shown by pinfo * :ghissue:`1992`: Tab completion fails with many spaces in filename * :ghissue:`1885`: handle too old wx * :ghissue:`2030`: check wxPython version in inputhook * :ghissue:`2024`: Make interactive_usage a bit more rst friendly * :ghissue:`2031`: disable ^C^C confirmation on Windows * :ghissue:`2023`: Unicode test failure on OS X * :ghissue:`2027`: match stdin encoding in frontend readline test * :ghissue:`1901`: Windows: parallel test fails assert, leaves 14 python processes alive * :ghissue:`2025`: Fix parallel test on WinXP - wait for resource cleanup. * :ghissue:`1986`: Line magic function `%R` not found. (Rmagic) * :ghissue:`1712`: test failure in ubuntu package daily build * :ghissue:`1183`: 0.12 testsuite failures * :ghissue:`2016`: BUG: test runner fails in Windows if filenames contain spaces. * :ghissue:`1806`: Alternate upload methods in firefox * :ghissue:`2019`: Windows: home directory expansion test fails * :ghissue:`2020`: Fix home path expansion test in Windows. * :ghissue:`2017`: Windows core test error - filename quoting * :ghissue:`2021`: Fix Windows pathname issue in 'odd encoding' test. * :ghissue:`1998`: call to nt.assert_true(path._writable_dir(home)) returns false in test_path.py * :ghissue:`2022`: don't check writability in test for get_home_dir when HOME is undefined * :ghissue:`1589`: Test failures and docs don't build on Mac OS X Lion * :ghissue:`1996`: frontend test tweaks * :ghissue:`2011`: Notebook server can't start cluster with hyphen-containing profile name * :ghissue:`2014`: relax profile regex in notebook * :ghissue:`2013`: brew install pyqt * :ghissue:`2005`: Strange output artifacts in footer of notebook * :ghissue:`2012`: Mono cursor offset * :ghissue:`2004`: Clarify generic message spec vs. Python message API in docs * :ghissue:`2006`: Don't crash when starting notebook server if runnable browser not found * :ghissue:`2010`: notebook: Print a warning (but do not abort) if no webbrowser can be found. * :ghissue:`2008`: pip install virtualenv * :ghissue:`2003`: Wrong case of rmagic in docs * :ghissue:`2002`: Refactor %magic into a lsmagic_docs API function. * :ghissue:`2000`: kernel.js consistency with generic IPython message format. * :ghissue:`1999`: `%magic` help: display line and cell magics in alphabetical order. * :ghissue:`1635`: test_prun_quotes fails on Windows * :ghissue:`1984`: Cannot restart Notebook when using `%%script --bg` * :ghissue:`1981`: Clean BG processes created by %%script on kernel exit * :ghissue:`1994`: Fix RST misformatting. * :ghissue:`1949`: Introduce Notebook Magics * :ghissue:`1985`: Kernels should start in notebook dir when manually specified * :ghissue:`1980`: Notebook should check that --notebook-dir exists * :ghissue:`1951`: minor notebook startup/notebook-dir adjustments * :ghissue:`1969`: tab completion in notebook for paths not triggered * :ghissue:`1974`: Allow path completion on notebook. * :ghissue:`1964`: allow multiple instances of a Magic * :ghissue:`1960`: %page not working * :ghissue:`1991`: fix _ofind attr in %page * :ghissue:`1982`: Shutdown qtconsole problem? * :ghissue:`1988`: check for active frontend in update_restart_checkbox * :ghissue:`1979`: Add support for tox (http://tox.testrun.org/) and Travis CI (http://travis-ci.org/) * :ghissue:`1989`: Parallel: output of %px and %px${suffix} is inconsistent * :ghissue:`1966`: ValueError: packer could not serialize a simple message * :ghissue:`1987`: Notebook: MathJax offline install not recognized * :ghissue:`1970`: dblclick to restore size of images * :ghissue:`1983`: Notebook does not save heading level * :ghissue:`1978`: Notebook names truncating at the first period * :ghissue:`1553`: Limited size of output cells and provide scroll bars for such output cells * :ghissue:`1825`: second attempt at scrolled long output * :ghissue:`1915`: add cell-level metadata * :ghissue:`1934`: Cell/Worksheet metadata * :ghissue:`1746`: Confirm restart (configuration option, and checkbox UI) * :ghissue:`1790`: Commenting function. * :ghissue:`1767`: Tab completion problems with cell magics * :ghissue:`1944`: [qtconsole] take %,%% prefix into account for completion * :ghissue:`1973`: fix another FreeBSD $HOME symlink issue * :ghissue:`1972`: Fix completion of '%tim' in the Qt console * :ghissue:`1887`: Make it easy to resize jpeg/png images back to original size. * :ghissue:`1967`: Fix psums example description in docs * :ghissue:`1678`: ctrl-z clears cell output in notebook when pressed enough times * :ghissue:`1965`: fix for #1678, undo no longer clears cells * :ghissue:`1952`: avoid duplicate "Websockets closed" dialog on ws close * :ghissue:`1961`: UnicodeDecodeError on directory with unicode chars in prompt * :ghissue:`1963`: styling prompt, {color.Normal} excepts * :ghissue:`1962`: Support unicode prompts * :ghissue:`1959`: %page not working on qtconsole for Windows XP 32-bit * :ghissue:`1955`: update to latest version of vim-ipython * :ghissue:`1945`: Add --proc option to %%script * :ghissue:`1957`: fix indentation in kernel.js * :ghissue:`1956`: move import RemoteError after get_exc_info * :ghissue:`1950`: Fix for copy action (Ctrl+C) when there is no pager defined in qtconsole * :ghissue:`1948`: Fix help string for InteractiveShell.ast_node_interactivity * :ghissue:`1941`: script magics cause terminal spam * :ghissue:`1942`: swallow stderr of which in utils.process.find_cmd * :ghissue:`1833`: completer draws slightly too small on Chrome * :ghissue:`1940`: fix completer css on some Chrome versions * :ghissue:`1938`: remove remaining references to deprecated XREP/XREQ names * :ghissue:`1924`: HTML superscripts not shown raised in the notebook * :ghissue:`1925`: Fix styling of superscripts and subscripts. Closes #1924. * :ghissue:`1461`: User notification if notebook saving fails * :ghissue:`1936`: increase duration of save messages * :ghissue:`1542`: %save magic fails in clients without stdin if file already exists * :ghissue:`1937`: add %save -f * :ghissue:`1572`: pyreadline version dependency not correctly checked * :ghissue:`1935`: add version checking to pyreadline import test * :ghissue:`1849`: Octave magics * :ghissue:`1759`: github, merge PR(s) just by number(s) * :ghissue:`1931`: Win py3fixes * :ghissue:`1646`: Meaning of restart parameter in client.shutdown() unclear * :ghissue:`1933`: oinspect.find_file: Additional safety if file cannot be found. * :ghissue:`1916`: %paste doesn't work on py3 * :ghissue:`1932`: Fix adding functions to CommandChainDispatcher with equal priority on Py 3 * :ghissue:`1928`: Select NoDB by default * :ghissue:`1923`: Add IPython syntax support to the %timeit magic, in line and cell mode * :ghissue:`1926`: Make completer recognize escaped quotes in strings. * :ghissue:`1929`: Ipython-qtconsole (0.12.1) hangs with Python 2.7.3, Windows 7 64 bit * :ghissue:`1409`: [qtconsole] forward delete bring completion into current line * :ghissue:`1922`: py3k compatibility for setupegg.py * :ghissue:`1598`: document that sync_imports() can't handle "import foo as bar" * :ghissue:`1893`: Update Parallel Magics and Exception Display * :ghissue:`1890`: Docstrings for magics that use @magic_arguments are rendered wrong * :ghissue:`1921`: magic_arguments: dedent but otherwise preserve indentation. * :ghissue:`1919`: Use oinspect in CodeMagics._find_edit_target * :ghissue:`1918`: don't warn in iptest if deathrow/quarantine are missing * :ghissue:`1914`: %pdef failing on python3 * :ghissue:`1917`: Fix for %pdef on Python 3 * :ghissue:`1428`: Failing test that prun does not clobber string escapes * :ghissue:`1913`: Fix for #1428 * :ghissue:`1911`: temporarily skip autoreload tests * :ghissue:`1549`: autoreload extension crashes ipython * :ghissue:`1908`: find_file errors on windows * :ghissue:`1909`: Fix for #1908, use os.path.normcase for safe filename comparisons * :ghissue:`1907`: py3compat fixes for %%script and tests * :ghissue:`1904`: %%px? doesn't work, shows info for %px, general cell magic problem * :ghissue:`1906`: ofind finds non-unique cell magics * :ghissue:`1894`: Win64 binary install fails * :ghissue:`1799`: Source file not found for magics * :ghissue:`1845`: Fixes to inspection machinery for magics * :ghissue:`1774`: Some magics seems broken * :ghissue:`1586`: Clean up tight coupling between Notebook, CodeCell and Kernel Javascript objects * :ghissue:`1632`: Win32 shell interactivity apparently broke qtconsole "cd" magic * :ghissue:`1902`: Workaround fix for gh-1632; minimal revert of gh-1424 * :ghissue:`1900`: Cython libs * :ghissue:`1503`: Cursor is offset in notebook in Chrome 17 on Linux * :ghissue:`1426`: Qt console doesn't handle the `--gui` flag correctly. * :ghissue:`1180`: Can't start IPython kernel in Spyder * :ghissue:`581`: test IPython.zmq * :ghissue:`1593`: Name embedded in notebook overrides filename * :ghissue:`1899`: add ScriptMagics to class list for generated config * :ghissue:`1618`: generate or minimize manpages * :ghissue:`1898`: minimize manpages * :ghissue:`1896`: Windows: apparently spurious warning 'Excluding nonexistent file' ... test_exampleip * :ghissue:`1897`: use glob for bad exclusion warning * :ghissue:`1215`: updated %quickref to show short-hand for %sc and %sx * :ghissue:`1855`: %%script and %%file magics * :ghissue:`1863`: Ability to silence a cell in the notebook * :ghissue:`1870`: add %%capture for capturing stdout/err * :ghissue:`1861`: Use dvipng to format sympy.Matrix * :ghissue:`1867`: Fix 1px margin bouncing of selected menu item. * :ghissue:`1889`: Reconnect when the websocket connection closes unexpectedly * :ghissue:`1577`: If a notebook loses its network connection WebSockets won't reconnect * :ghissue:`1886`: Fix a bug in renaming notebook * :ghissue:`1895`: Fix error in test suite with ip.system() * :ghissue:`1762`: add `locate` entry points * :ghissue:`1883`: Fix vertical offset due to bold/italics, and bad browser fonts. * :ghissue:`1875`: re-write columnize, with intermediate step. * :ghissue:`1860`: IPython.utils.columnize sometime wrong... * :ghissue:`1851`: new completer for qtconsole. * :ghissue:`1892`: Remove suspicious quotes in interactiveshell.py * :ghissue:`1854`: Class `%hierarchy` and graphiz `%%dot` magics * :ghissue:`1827`: Sending tracebacks over ZMQ should protect against unicode failure * :ghissue:`1864`: Rmagic exceptions * :ghissue:`1829`: [notebook] don't care about leading prct in completion * :ghissue:`1832`: Make svg, jpeg and png images resizable in notebook. * :ghissue:`1674`: HTML Notebook carriage-return handling, take 2 * :ghissue:`1874`: cython_magic uses importlib, which doesn't ship with py2.6 * :ghissue:`1882`: Remove importlib dependency which not available in Python 2.6. * :ghissue:`1878`: shell access using ! will not fill class or function scope vars * :ghissue:`1879`: Correct stack depth for variable expansion in !system commands * :ghissue:`1840`: New JS completer should merge completions before display * :ghissue:`1841`: [notebook] deduplicate completion results * :ghissue:`1736`: no good error message on missing tkinter and %paste * :ghissue:`1741`: Display message from TryNext error in magic_paste * :ghissue:`1850`: Remove args/kwargs handling in TryNext, fix %paste error messages. * :ghissue:`1663`: Keep line-endings in ipynb * :ghissue:`1872`: Matplotlib window freezes using intreractive plot in qtconsole * :ghissue:`1869`: Improve CodeMagics._find_edit_target * :ghissue:`1781`: Colons in notebook name causes notebook deletion without warning * :ghissue:`1815`: Make : invalid in filenames in the Notebook JS code. * :ghissue:`1819`: doc: cleanup the parallel psums example a little * :ghissue:`1838`: externals cleanup * :ghissue:`1839`: External cleanup * :ghissue:`1782`: fix Magic menu in qtconsole, split in groups * :ghissue:`1862`: Minor bind_kernel improvements * :ghissue:`1859`: kernmagic during console startup * :ghissue:`1857`: Prevent jumping of window to input when output is clicked. * :ghissue:`1856`: Fix 1px jumping of cells and menus in Notebook. * :ghissue:`1848`: task fails with "AssertionError: not enough buffers!" after second resubmit * :ghissue:`1852`: fix chained resubmissions * :ghissue:`1780`: Rmagic extension * :ghissue:`1853`: Fix jumpy notebook behavior * :ghissue:`1842`: task with UnmetDependency error still owned by engine * :ghissue:`1847`: add InlineBackend to ConsoleApp class list * :ghissue:`1846`: Exceptions within multiprocessing crash Ipython notebook kernel * :ghissue:`1843`: Notebook does not exist and permalinks * :ghissue:`1837`: edit magic broken in head * :ghissue:`1834`: resubmitted tasks doesn't have same session name * :ghissue:`1836`: preserve header for resubmitted tasks * :ghissue:`1776`: fix magic menu in qtconsole * :ghissue:`1828`: change default extension to .ipy for %save -r * :ghissue:`1800`: Reintroduce recall * :ghissue:`1671`: __future__ environments * :ghissue:`1830`: lsmagic lists magics in alphabetical order * :ghissue:`1835`: Use Python import in ipython profile config * :ghissue:`1773`: Update SymPy profile: SymPy's latex() can now print set and frozenset * :ghissue:`1761`: Edited documentation to use IPYTHONDIR in place of ~/.ipython * :ghissue:`1772`: notebook autocomplete fail when typing number * :ghissue:`1822`: aesthetics pass on AsyncResult.display_outputs * :ghissue:`1460`: Redirect http to https for notebook * :ghissue:`1287`: Refactor the notebook tab completion/tooltip * :ghissue:`1596`: In rename dialog, should submit * :ghissue:`1821`: ENTER submits the rename notebook dialog. * :ghissue:`1750`: Let the user disable random port selection * :ghissue:`1820`: NotebookApp: Make the number of ports to retry user configurable. * :ghissue:`1816`: Always use filename as the notebook name. * :ghissue:`1775`: assert_in not present on Python 2.6 * :ghissue:`1813`: Add assert_in method to nose for Python 2.6 * :ghissue:`1498`: Add tooltip keyboard shortcuts * :ghissue:`1711`: New Tooltip, New Completer and JS Refactor * :ghissue:`1798`: a few simple fixes for docs/parallel * :ghissue:`1818`: possible bug with latex / markdown * :ghissue:`1647`: Aborted parallel tasks can't be resubmitted * :ghissue:`1817`: Change behavior of ipython notebook --port=... * :ghissue:`1738`: IPython.embed_kernel issues * :ghissue:`1610`: Basic bold and italic in HTML output cells * :ghissue:`1576`: Start and stop kernels from the notebook dashboard * :ghissue:`1515`: impossible to shutdown notebook kernels * :ghissue:`1812`: Ensure AsyncResult.display_outputs doesn't display empty streams * :ghissue:`1811`: warn on nonexistent exclusions in iptest * :ghissue:`1809`: test suite error in IPython.zmq on windows * :ghissue:`1810`: fix for #1809, failing tests in IPython.zmq * :ghissue:`1808`: Reposition alternate upload for firefox [need cross browser/OS/language test] * :ghissue:`1742`: Check for custom_exceptions only once * :ghissue:`1802`: cythonmagic tests should be skipped if Cython not available * :ghissue:`1062`: warning message in IPython.extensions test * :ghissue:`1807`: add missing cython exclusion in iptest * :ghissue:`1805`: Fixed a vcvarsall.bat error on win32/Py2.7 when trying to compile with m... * :ghissue:`1803`: MPI parallel %px bug * :ghissue:`1804`: Fixed a vcvarsall.bat error on win32/Py2.7 when trying to compile with mingw. * :ghissue:`1492`: Drag target very small if IPython Dashboard has no notebooks * :ghissue:`1562`: Offer a method other than drag-n-drop to upload notebooks * :ghissue:`1739`: Dashboard improvement (necessary merge of #1658 and #1676 + fix #1492) * :ghissue:`1770`: Cython related magic functions * :ghissue:`1532`: qtconsole does not accept --gui switch * :ghissue:`1707`: Accept --gui=<...> switch in IPython qtconsole. * :ghissue:`1797`: Fix comment which breaks Emacs syntax highlighting. * :ghissue:`1796`: %gui magic broken * :ghissue:`1795`: fix %gui magic * :ghissue:`1788`: extreme truncating of return values * :ghissue:`1793`: Raise repr limit for strings to 80 characters (from 30). * :ghissue:`1794`: don't use XDG path on OS X * :ghissue:`1777`: ipython crash on wrong encoding * :ghissue:`1792`: Unicode-aware logger * :ghissue:`1791`: update zmqshell magics * :ghissue:`1787`: DOC: Remove regression from qt-console docs. * :ghissue:`1785`: IPython.utils.tests.test_process.SubProcessTestCase * :ghissue:`1758`: test_pr, fallback on http if git protocol fail, and SSL errors... * :ghissue:`1786`: Make notebook save failures more salient * :ghissue:`1748`: Fix some tests for Python 3.3 * :ghissue:`1755`: test for pygments before running qt tests * :ghissue:`1771`: Make default value of interactivity passed to run_ast_nodes configurable * :ghissue:`1783`: part of PR #1606 (loadpy -> load) erased by magic refactoring. * :ghissue:`1784`: restore loadpy to load * :ghissue:`1768`: Update parallel magics * :ghissue:`1778`: string exception in IPython/core/magic.py:232 * :ghissue:`1779`: Tidy up error raising in magic decorators. * :ghissue:`1769`: Allow cell mode timeit without setup code. * :ghissue:`1716`: Fix for fake filenames in verbose traceback * :ghissue:`1763`: [qtconsole] fix append_plain_html -> append_html * :ghissue:`1766`: Test failure in IPython.parallel * :ghissue:`1611`: IPEP1: Cell magics and general cleanup of the Magic system * :ghissue:`1732`: Refactoring of the magics system and implementation of cell magics * :ghissue:`1765`: test_pr should clearn PYTHONPATH for the subprocesses * :ghissue:`1630`: Merge divergent Kernel implementations * :ghissue:`1705`: [notebook] Make pager resizable, and remember size... * :ghissue:`1606`: Share code for %pycat and %loadpy, make %pycat aware of URLs * :ghissue:`1720`: Adding interactive inline plotting to notebooks with flot * :ghissue:`1701`: [notebook] Open HTML links in a new window by default * :ghissue:`1757`: Open IPython notebook hyperlinks in a new window using target=_blank * :ghissue:`1735`: Open IPython notebook hyperlinks in a new window using target=_blank * :ghissue:`1754`: Fix typo enconters->encounters * :ghissue:`1753`: Clear window title when kernel is restarted * :ghissue:`735`: Images missing from XML/SVG export (for me) * :ghissue:`1449`: Fix for bug #735 : Images missing from XML/SVG export * :ghissue:`1752`: Reconnect Websocket when it closes unexpectedly * :ghissue:`1751`: Reconnect Websocket when it closes unexpectedly * :ghissue:`1749`: Load MathJax.js using HTTPS when IPython notebook server is HTTPS * :ghissue:`1743`: Tooltip completer js refactor * :ghissue:`1700`: A module for sending custom user messages from the kernel. * :ghissue:`1745`: htmlnotebook: Cursor is off * :ghissue:`1728`: ipython crash with matplotlib during picking * :ghissue:`1681`: add qt config option to clear_on_kernel_restart * :ghissue:`1733`: Tooltip completer js refactor * :ghissue:`1676`: Kernel status/shutdown from dashboard * :ghissue:`1658`: Alternate notebook upload methods * :ghissue:`1727`: terminate kernel after embed_kernel tests * :ghissue:`1737`: add HistoryManager to ipapp class list * :ghissue:`945`: Open a notebook from the command line * :ghissue:`1686`: ENH: Open a notebook from the command line * :ghissue:`1709`: fixes #1708, failing test in arg_split on windows * :ghissue:`1718`: Use CRegExp trait for regular expressions. * :ghissue:`1729`: Catch failure in repr() for %whos * :ghissue:`1726`: use eval for command-line args instead of exec * :ghissue:`1723`: scatter/gather fail with targets='all' * :ghissue:`1724`: fix scatter/gather with targets='all' * :ghissue:`1725`: add --no-ff to git pull in test_pr * :ghissue:`1722`: unicode exception when evaluating expression with non-ascii characters * :ghissue:`1721`: Tooltip completer js refactor * :ghissue:`1657`: Add `wait` optional argument to `hooks.editor` * :ghissue:`123`: Define sys.ps{1,2} * :ghissue:`1717`: Define generic sys.ps{1,2,3}, for use by scripts. * :ghissue:`1442`: cache-size issue in qtconsole * :ghissue:`1691`: Finish PR #1446 * :ghissue:`1446`: Fixing Issue #1442 * :ghissue:`1710`: update MathJax CDN url for https * :ghissue:`81`: Autocall fails if first function argument begins with "-" or "+ * :ghissue:`1713`: Make autocall regexp's configurable. * :ghissue:`211`: paste command not working * :ghissue:`1703`: Allow TryNext to have an error message without it affecting the command chain * :ghissue:`1714`: minor adjustments to test_pr * :ghissue:`1509`: New tooltip for notebook * :ghissue:`1697`: Major refactoring of the Notebook, Kernel and CodeCell JavaScript. * :ghissue:`788`: Progress indicator in the notebook (and perhaps the Qt console) * :ghissue:`1034`: Single process Qt console * :ghissue:`1557`: magic function conflict while using --pylab * :ghissue:`1476`: Pylab figure objects not properly updating * :ghissue:`1704`: ensure all needed qt parts can be imported before settling for one * :ghissue:`1708`: test failure in arg_split on windows * :ghissue:`1706`: Mark test_push_numpy_nocopy as a known failure for Python 3 * :ghissue:`1696`: notebook tooltip fail on function with number * :ghissue:`1698`: fix tooltip on token with number * :ghissue:`1226`: Windows GUI only (pythonw) bug for IPython on Python 3.x * :ghissue:`1245`: pythonw py3k fixes for issue #1226 * :ghissue:`1417`: Notebook Completer Class * :ghissue:`1690`: [Bogus] Deliberately make a test fail * :ghissue:`1685`: Add script to test pull request * :ghissue:`1167`: Settle on a choice for $IPYTHONDIR * :ghissue:`1693`: deprecate IPYTHON_DIR in favor of IPYTHONDIR * :ghissue:`1672`: ipython-qtconsole.desktop is using a deprecated format * :ghissue:`1695`: Avoid deprecated warnings from ipython-qtconsole.desktop. * :ghissue:`1694`: Add quote to notebook to allow it to load * :ghissue:`1240`: sys.path missing `''` as first entry when kernel launched without interface * :ghissue:`1689`: Fix sys.path missing '' as first entry in `ipython kernel`. * :ghissue:`1683`: Parallel controller failing with Pymongo 2.2 * :ghissue:`1687`: import Binary from bson instead of pymongo * :ghissue:`1614`: Display Image in Qtconsole * :ghissue:`1616`: Make IPython.core.display.Image less notebook-centric * :ghissue:`1684`: CLN: Remove redundant function definition. * :ghissue:`1655`: Add %open magic command to open editor in non-blocking manner * :ghissue:`1677`: middle-click paste broken in notebook * :ghissue:`1670`: Point %pastebin to gist * :ghissue:`1667`: Test failure in test_message_spec * :ghissue:`1668`: Test failure in IPython.zmq.tests.test_message_spec.test_complete "'pyout' != 'status'" * :ghissue:`1669`: handle pyout messages in test_message_spec * :ghissue:`1295`: add binary-tree engine interconnect example * :ghissue:`1642`: Cherry-picked commits from 0.12.1 release * :ghissue:`1659`: Handle carriage return characters ("\r") in HTML notebook output. * :ghissue:`1313`: Figure out MathJax 2 support * :ghissue:`1653`: Test failure in IPython.zmq * :ghissue:`1656`: ensure kernels are cleaned up in embed_kernel tests * :ghissue:`1666`: pip install ipython==dev installs version 0.8 from an old svn repo * :ghissue:`1664`: InteractiveShell.run_code: Update docstring. * :ghissue:`1512`: `print stuff,` should avoid newline * :ghissue:`1662`: Delay flushing softspace until after cell finishes * :ghissue:`1643`: handle jpg/jpeg in the qtconsole * :ghissue:`966`: dreload fails on Windows XP with iPython 0.11 "Unexpected Error" * :ghissue:`1500`: dreload doesn't seem to exclude numpy * :ghissue:`1520`: kernel crash when showing tooltip (?) * :ghissue:`1652`: add patch_pyzmq() for backporting a few changes from newer pyzmq * :ghissue:`1650`: DOC: moving files with SSH launchers * :ghissue:`1357`: add IPython.embed_kernel() * :ghissue:`1640`: Finish up embed_kernel * :ghissue:`1651`: Remove bundled Itpl module * :ghissue:`1634`: incremental improvements to SSH launchers * :ghissue:`1649`: move examples/test_embed into examples/tests/embed * :ghissue:`1171`: Recognise virtualenvs * :ghissue:`1479`: test_extension failing in Windows * :ghissue:`1633`: Fix installing extension from local file on Windows * :ghissue:`1644`: Update copyright date to 2012 * :ghissue:`1636`: Test_deepreload breaks pylab irunner tests * :ghissue:`1645`: Exclude UserDict when deep reloading NumPy. * :ghissue:`1454`: make it possible to start engine in 'disabled' mode and 'enable' later * :ghissue:`1641`: Escape code for the current time in PromptManager * :ghissue:`1638`: ipython console clobbers custom sys.path * :ghissue:`1637`: Removed a ':' which shouldn't have been there * :ghissue:`1536`: ipython 0.12 embed shell won't run startup scripts * :ghissue:`1628`: error: QApplication already exists in TestKillRing * :ghissue:`1631`: TST: QApplication doesn't quit early enough with PySide. * :ghissue:`1629`: evaluate a few dangling validate_message generators * :ghissue:`1621`: clear In[] prompt numbers on "Clear All Output" * :ghissue:`1627`: Test the Message Spec * :ghissue:`1470`: SyntaxError on setup.py install with Python 3 * :ghissue:`1624`: Fixes for byte-compilation on Python 3 * :ghissue:`1612`: pylab=inline fig.show() non-existent in notebook * :ghissue:`1615`: Add show() method to figure objects. * :ghissue:`1622`: deepreload fails on Python 3 * :ghissue:`1625`: Fix deepreload on Python 3 * :ghissue:`1626`: Failure in new `dreload` tests under Python 3.2 * :ghissue:`1623`: iPython / matplotlib Memory error with imshow * :ghissue:`1619`: pyin messages should have execution_count * :ghissue:`1620`: pyin message now have execution_count * :ghissue:`32`: dreload produces spurious traceback when numpy is involved * :ghissue:`1457`: Update deepreload to use a rewritten knee.py. Fixes dreload(numpy). * :ghissue:`1613`: allow map / parallel function for single-engine views * :ghissue:`1609`: exit notebook cleanly on SIGINT, SIGTERM * :ghissue:`1531`: Function keyword completion fails if cursor is in the middle of the complete parentheses * :ghissue:`1607`: cleanup sqlitedb temporary db file after tests * :ghissue:`1608`: don't rely on timedelta.total_seconds in AsyncResult * :ghissue:`1421`: ipython32 %run -d breaks with NameError name 'execfile' is not defined * :ghissue:`1599`: Fix for %run -d on Python 3 * :ghissue:`1201`: %env magic fails with Python 3.2 * :ghissue:`1602`: Fix %env magic on Python 3. * :ghissue:`1603`: Remove python3 profile * :ghissue:`1604`: Exclude IPython.quarantine from installation * :ghissue:`1601`: Security file is not removed after shutdown by Ctrl+C or kill -INT * :ghissue:`1600`: Specify encoding for io.open in notebook_reformat tests * :ghissue:`1605`: Small fixes for Animation and Progress notebook * :ghissue:`1452`: Bug fix for approval * :ghissue:`13`: Improve robustness and debuggability of test suite * :ghissue:`70`: IPython should prioritize __all__ during tab completion * :ghissue:`1529`: __all__ feature, improvement to dir2, and tests for both * :ghissue:`1475`: Custom namespace for %run * :ghissue:`1564`: calling .abort on AsyncMapResult results in traceback * :ghissue:`1548`: add sugar methods/properties to AsyncResult * :ghissue:`1535`: Fix pretty printing dispatch * :ghissue:`1522`: Discussion: some potential Qt console refactoring * :ghissue:`1399`: Use LaTeX to print various built-in types with the SymPy printing extension * :ghissue:`1597`: re-enter kernel.eventloop after catching SIGINT * :ghissue:`1490`: rename plaintext cell -> raw cell * :ghissue:`1487`: %notebook fails in qtconsole * :ghissue:`1545`: trailing newline not preserved in splitline ipynb * :ghissue:`1480`: Fix %notebook magic, etc. nbformat unicode tests and fixes * :ghissue:`1588`: Gtk3 integration with ipython works. * :ghissue:`1595`: Examples syntax (avoid errors installing on Python 3) * :ghissue:`1526`: Find encoding for Python files * :ghissue:`1594`: Fix writing git commit ID to a file on build with Python 3 * :ghissue:`1556`: shallow-copy DictDB query results * :ghissue:`1499`: various pyflakes issues * :ghissue:`1502`: small changes in response to pyflakes pass * :ghissue:`1445`: Don't build sphinx docs for sdists * :ghissue:`1484`: unhide .git_commit_info.ini * :ghissue:`1538`: store git commit hash in utils._sysinfo instead of hidden data file * :ghissue:`1546`: attempt to suppress exceptions in channel threads at shutdown * :ghissue:`1524`: unhide git_commit_info.ini * :ghissue:`1559`: update tools/github_stats.py to use GitHub API v3 * :ghissue:`1563`: clear_output improvements * :ghissue:`1558`: Ipython testing documentation still mentions twisted and trial * :ghissue:`1560`: remove obsolete discussion of Twisted/trial from testing docs * :ghissue:`1561`: Qtconsole - nonstandard \a and \b * :ghissue:`1569`: BUG: qtconsole -- non-standard handling of \a and \b. [Fixes #1561] * :ghissue:`1574`: BUG: Ctrl+C crashes wx pylab kernel in qtconsole * :ghissue:`1573`: BUG: Ctrl+C crashes wx pylab kernel in qtconsole. * :ghissue:`1590`: 'iPython3 qtconsole' doesn't work in Windows 7 * :ghissue:`602`: User test the html notebook * :ghissue:`613`: Implement Namespace panel section * :ghissue:`879`: How to handle Javascript output in the notebook * :ghissue:`1255`: figure.show() raises an error with the inline backend * :ghissue:`1467`: Document or bundle a git-integrated facility for stripping VCS-unfriendly binary data * :ghissue:`1237`: Kernel status and logout button overlap * :ghissue:`1319`: Running a cell with ctrl+Enter selects text in cell * :ghissue:`1571`: module member autocomplete should respect __all__ * :ghissue:`1566`: ipython3 doesn't run in Win7 with Python 3.2 * :ghissue:`1568`: fix PR #1567 * :ghissue:`1567`: Fix: openssh_tunnel did not parse port in `server` * :ghissue:`1565`: fix AsyncResult.abort * :ghissue:`1550`: Crash when starting notebook in a non-ascii path * :ghissue:`1552`: use os.getcwdu in NotebookManager * :ghissue:`1554`: wrong behavior of the all function on iterators * :ghissue:`1541`: display_pub flushes stdout/err * :ghissue:`1539`: Asynchrous issue when using clear_display and print x,y,z * :ghissue:`1544`: make MultiKernelManager.kernel_manager_class configurable * :ghissue:`1494`: Untrusted Secure Websocket broken on latest chrome dev * :ghissue:`1521`: only install ipython-qtconsole gui script on Windows * :ghissue:`1528`: Tab completion optionally respects __all__ (+ dir2() cleanup) * :ghissue:`1527`: Making a progress bar work in IPython Notebook * :ghissue:`1497`: __all__ functionality added to dir2(obj) * :ghissue:`1518`: Pretty printing exceptions is broken * :ghissue:`811`: Fixes for ipython unhandeled OSError exception on failure of os.getcwdu() * :ghissue:`1517`: Fix indentation bug in IPython/lib/pretty.py * :ghissue:`1519`: BUG: Include the name of the exception type in its pretty format. * :ghissue:`1525`: A hack for auto-complete numpy recarray * :ghissue:`1489`: Fix zero-copy push * :ghissue:`1401`: numpy arrays cannot be used with View.apply() in Python 3 * :ghissue:`1477`: fix dangling `buffer` in IPython.parallel.util * :ghissue:`1514`: DOC: Fix references to IPython.lib.pretty instead of the old location * :ghissue:`1511`: Version comparison error ( '2.1.11' < '2.1.4' ==> True) * :ghissue:`1506`: "Fixing" the Notebook scroll to help in visually comparing outputs * :ghissue:`1481`: BUG: Improve placement of CallTipWidget * :ghissue:`1241`: When our debugger class is used standalone `_oh` key errors are thrown * :ghissue:`676`: IPython.embed() from ipython crashes twice on exit * :ghissue:`1496`: BUG: LBYL when clearing the output history on shutdown. * :ghissue:`1507`: python3 notebook: TypeError: unorderable types * :ghissue:`1508`: fix sorting profiles in clustermanager * :ghissue:`1495`: BUG: Fix pretty-printing for overzealous objects * :ghissue:`1505`: SQLite objects created in a thread can only be used in that same thread * :ghissue:`1482`: %history documentation out of date? * :ghissue:`1501`: dreload doesn't seem to exclude numpy * :ghissue:`1472`: more general fix for #662 * :ghissue:`1486`: save state of qtconsole * :ghissue:`1485`: add history search to qtconsole * :ghissue:`1483`: updated magic_history docstring * :ghissue:`1383`: First version of cluster web service. * :ghissue:`482`: test_run.test_tclass fails on Windows * :ghissue:`1398`: fix %tb after SyntaxError * :ghissue:`1478`: key function or lambda in sorted function doesn't find global variables * :ghissue:`1415`: handle exit/quit/exit()/quit() variants in zmqconsole * :ghissue:`1440`: Fix for failing testsuite when using --with-xml-coverage on windows. * :ghissue:`1419`: Add %install_ext magic function. * :ghissue:`1424`: Win32 shell interactivity * :ghissue:`1434`: Controller should schedule tasks of multiple clients at the same time * :ghissue:`1268`: notebook %reset magic fails with StdinNotImplementedError * :ghissue:`1438`: from cherrypy import expose fails when running script form parent directory * :ghissue:`1468`: Simplify structure of a Job in the TaskScheduler * :ghissue:`875`: never build unicode error messages * :ghissue:`1107`: Tab autocompletion can suggest invalid syntax * :ghissue:`1447`: 1107 - Tab autocompletion can suggest invalid syntax * :ghissue:`1469`: Fix typo in comment (insert space) * :ghissue:`1463`: Fix completion when importing modules in the cwd. * :ghissue:`1437`: unfriendly error handling with pythonw and ipython-qtconsole * :ghissue:`1466`: Fix for issue #1437, unfriendly windows qtconsole error handling * :ghissue:`1432`: Fix ipython directive * :ghissue:`1465`: allow `ipython help subcommand` syntax * :ghissue:`1394`: Wishlist: Remove hard dependency on ctypes * :ghissue:`1416`: Conditional import of ctypes in inputhook * :ghissue:`1462`: expedite parallel tests * :ghissue:`1418`: Strict mode in javascript * :ghissue:`1410`: Add javascript library and css stylesheet loading to JS class. * :ghissue:`1427`: #922 again * :ghissue:`1448`: Fix for #875 Never build unicode error messages * :ghissue:`1458`: use eval to uncan References * :ghissue:`1455`: Python3 install fails * :ghissue:`1450`: load mathjax from CDN via https * :ghissue:`1182`: Qtconsole, multiwindow * :ghissue:`1439`: Notebook not storing heading celltype information * :ghissue:`1451`: include heading level in JSON * :ghissue:`1444`: Fix pyhton -> python typos * :ghissue:`1412`: Input parsing issue with %prun * :ghissue:`1414`: ignore errors in shell.var_expand * :ghissue:`1441`: (1) Enable IPython.notebook.kernel.execute to publish display_* even it is not called with a code cell and (2) remove empty html element when execute "display_*" * :ghissue:`1431`: Beginner Error: ipython qtconsole * :ghissue:`1436`: "ipython-qtconsole --gui qt" hangs on 64-bit win7 * :ghissue:`1433`: websocket connection fails on Chrome * :ghissue:`1430`: Fix for tornado check for tornado < 1.1.0 * :ghissue:`1408`: test_get_home_dir_3 failed on Mac OS X * :ghissue:`1413`: get_home_dir expands symlinks, adjust test accordingly * :ghissue:`1420`: fixes #922 * :ghissue:`823`: KnownFailure tests appearing as errors * :ghissue:`1385`: updated and prettified magic doc strings * :ghissue:`1406`: Browser selection * :ghissue:`1411`: ipcluster starts 8 engines "successfully" but Client only finds two * :ghissue:`1375`: %history -g -f file encoding issue * :ghissue:`1377`: Saving non-ascii history * :ghissue:`797`: Source introspection needs to be smarter in python 3.2 * :ghissue:`846`: Autoreload extension doesn't work with Python 3.2 * :ghissue:`1360`: IPython notebook not starting on winXP * :ghissue:`1407`: Qtconsole segfaults on OSX when displaying some pop-up function tooltips * :ghissue:`1402`: fix symlinked /home issue for FreeBSD * :ghissue:`1403`: pyreadline cyclic dependency with pdb++/pdbpp module * :ghissue:`1405`: Only monkeypatch xunit when the tests are run using it. * :ghissue:`1404`: Feature Request: List/Dictionary tab completion * :ghissue:`1395`: Xunit & KnownFailure * :ghissue:`1396`: Fix for %tb magic. * :ghissue:`1397`: Stay or leave message not working, Safari session lost. * :ghissue:`1389`: pylab=inline inoperant through ssh tunnelling? * :ghissue:`1386`: Jsd3 * :ghissue:`1388`: Add simple support for running inside a virtualenv * :ghissue:`826`: Add support for creation of parallel task when no engine is running * :ghissue:`1391`: Improve Hub/Scheduler when no engines are registered * :ghissue:`1369`: load header with engine id when engine dies in TaskScheduler * :ghissue:`1345`: notebook can't save unicode as script * :ghissue:`1353`: Save notebook as script using unicode file handle. * :ghissue:`1352`: Add '-m mod : run library module as a script' option. * :ghissue:`1363`: Fix some minor color/style config issues in the qtconsole * :ghissue:`1371`: Adds a quiet keyword to sync_imports * :ghissue:`1390`: Blank screen for notebooks on Safari * :ghissue:`1387`: Fixing Cell menu to update cell type select box. * :ghissue:`645`: Standalone WX GUI support is broken * :ghissue:`1296`: Wx gui example: fixes the broken example for `%gui wx`. * :ghissue:`1254`: typo in notebooklist.js breaks links * :ghissue:`781`: Users should be able to clone a notebook * :ghissue:`1372`: ipcontroller cleans up connection files unless reuse=True * :ghissue:`1374`: remove calls to meaningless ZMQStream.on_err * :ghissue:`1382`: Update RO for Notebook * :ghissue:`1370`: allow draft76 websockets (Safari) * :ghissue:`1368`: Ensure handler patterns are str, not unicode * :ghissue:`1379`: Sage link on website homepage broken * :ghissue:`1376`: FWIW does not work with Chrome 16.0.912.77 Ubuntu 10.10 * :ghissue:`1358`: Cannot install ipython on Windows 7 64-bit * :ghissue:`1367`: Ctrl - m t does not toggle output in chrome * :ghissue:`1359`: [sympyprinting] MathJax can't render \root{m}{n} * :ghissue:`1337`: Tab in the notebook after `(` should not indent, only give a tooltip * :ghissue:`1339`: Notebook printing broken * :ghissue:`1344`: Ctrl + M + L does not toggle line numbering in htmlnotebook * :ghissue:`1348`: Ctrl + M + M does not switch to markdown cell * :ghissue:`1361`: Notebook bug fix branch * :ghissue:`1364`: avoid jsonlib returning Decimal * :ghissue:`1362`: Don't log complete contents of history replies, even in debug * :ghissue:`888`: ReST support in notebooks * :ghissue:`1205`: notebook stores HTML escaped text in the file * :ghissue:`1351`: add IPython.embed_kernel() * :ghissue:`1243`: magic commands without % are not completed properly in htmlnotebook * :ghissue:`1347`: fix weird magic completion in notebook * :ghissue:`1355`: notebook.html extends layout.html now * :ghissue:`1354`: min and max in the notebook * :ghissue:`1346`: fixups for alternate URL prefix stuff * :ghissue:`1336`: crack at making notebook.html use the layout.html template * :ghissue:`1331`: RST and heading cells * :ghissue:`1350`: Add '-m mod : run library module as a script' option * :ghissue:`1247`: fixes a bug causing extra newlines after comments. * :ghissue:`1329`: add base_url to notebook configuration options * :ghissue:`1332`: notebook - allow prefixes in URL path. * :ghissue:`1317`: Very slow traceback construction from Cython extension * :ghissue:`1341`: Don't attempt to tokenize binary files for tracebacks * :ghissue:`1300`: Cell Input collapse * :ghissue:`1334`: added key handler for control-s to notebook, seems to work pretty well * :ghissue:`1338`: Fix see also in docstrings so API docs build * :ghissue:`1335`: Notebook toolbar UI * :ghissue:`1299`: made notebook.html extend layout.html * :ghissue:`1318`: make Ctrl-D in qtconsole act same as in terminal (ready to merge) * :ghissue:`873`: ReST support in notebook frontend * :ghissue:`1139`: Notebook webkit notification * :ghissue:`1314`: Insertcell * :ghissue:`1328`: Coverage * :ghissue:`1206`: don't preserve fixConsole output in json * :ghissue:`1330`: Add linewrapping to text cells (new feature in CodeMirror). * :ghissue:`1309`: Inoculate clearcmd extension into %reset functionality * :ghissue:`1327`: Updatecm2 * :ghissue:`1326`: Removing Ace edit capability. * :ghissue:`1325`: forgotten selected_cell -> get_selected_cell * :ghissue:`1316`: Pass subprocess test runners a suitable location for xunit output * :ghissue:`1315`: Collect results from subprocess runners and spit out Xunit XML output. * :ghissue:`1233`: Update CodeMirror to the latest version * :ghissue:`1234`: Refactor how the notebook focuses cells * :ghissue:`1235`: After upgrading CodeMirror check the status of some bugs * :ghissue:`1236`: Review how select is called when notebook cells are inserted * :ghissue:`1303`: Updatecm * :ghissue:`1311`: Fixing CM related indentation problems. * :ghissue:`1304`: controller/server load can disrupt heartbeat * :ghissue:`1312`: minor heartbeat tweaks * :ghissue:`1302`: Input parsing with %prun clobbers escapes * :ghissue:`1306`: Fix %prun input parsing for escaped characters (closes #1302) * :ghissue:`1251`: IPython-0.12 can't import map module on Python 3.1 * :ghissue:`1202`: Pyreadline install exclusion for 64 bit windows no longer required, version dependency not correctly specified. * :ghissue:`1301`: New "Fix for issue #1202" based on current master. * :ghissue:`1242`: changed key map name to match changes to python mode * :ghissue:`1203`: Fix for issue #1202 * :ghissue:`1289`: Make autoreload extension work on Python 3. * :ghissue:`1263`: Different 'C-x' for shortcut, 'C-m c' not toCodeCell anymore * :ghissue:`1259`: Replace "from (.|..) import" with absolute imports. * :ghissue:`1278`: took a crack at making notebook.html extend layout.html * :ghissue:`1210`: Add 'quiet' option to suppress screen output during %prun calls, edited dochelp * :ghissue:`1288`: Don't ask for confirmation when stdin isn't available * :ghissue:`1290`: Cell-level cut & paste overwrites multiple cells * :ghissue:`1291`: Minor, but important fixes to cut/copy/paste. * :ghissue:`1293`: TaskScheduler.hwm default value * :ghissue:`1294`: TaskScheduler.hwm default to 1 instead of 0 * :ghissue:`1281`: in Hub: registration_timeout must be an integer, but heartmonitor.period is CFloat * :ghissue:`1283`: HeartMonitor.period should be an Integer * :ghissue:`1162`: Allow merge/split adjacent cells in notebook * :ghissue:`1264`: Aceify * :ghissue:`1261`: Mergesplit * :ghissue:`1269`: Another strange input handling error * :ghissue:`1284`: a fix for GH 1269 * :ghissue:`1232`: Dead kernel loop * :ghissue:`1279`: ImportError: cannot import name S1 (from logging) * :ghissue:`1276`: notebook menu item to send a KeyboardInterrupt to the kernel * :ghissue:`1213`: BUG: Minor typo in history_console_widget.py * :ghissue:`1248`: IPython notebook doesn't work with lastest version of tornado * :ghissue:`1267`: add NoDB for non-recording Hub * :ghissue:`1222`: allow Reference as callable in map/apply * :ghissue:`1257`: use self.kernel_manager_class in qtconsoleapp * :ghissue:`1220`: Open a new notebook while connecting to an existing kernel (opened by qtconsole or terminal or standalone) * :ghissue:`1253`: set auto_create flag for notebook apps * :ghissue:`1260`: heartbeat failure on long gil-holding operation * :ghissue:`1262`: Heartbeat no longer shares the app's Context * :ghissue:`1225`: SyntaxError display broken in Python 3 * :ghissue:`1229`: Fix display of SyntaxError in Python 3 * :ghissue:`1256`: Dewijmoize * :ghissue:`1246`: Skip tests that require X, when importing pylab results in RuntimeError. * :ghissue:`1250`: Wijmoize * :ghissue:`1244`: can not imput chinese word "造" , exit right now * :ghissue:`1194`: Adding Opera 11 as a compatible browser for ipython notebook * :ghissue:`1198`: Kernel Has Died error in Notebook * :ghissue:`1211`: serve local files in notebook-dir * :ghissue:`1224`: edit text cells on double-click instead of single-click * :ghissue:`1187`: misc notebook: connection file cleanup, first heartbeat, startup flush * :ghissue:`1207`: fix loadpy duplicating newlines * :ghissue:`1060`: Always save the .py file to disk next to the .ipynb * :ghissue:`1066`: execute cell in place should preserve the current insertion-point in the notebook * :ghissue:`1141`: "In" numbers are not invalidated when restarting kernel * :ghissue:`1231`: pip on OSX tries to install files in /System directory. * :ghissue:`1129`: Unified setup.py * :ghissue:`1199`: Reduce IPython.external.* * :ghissue:`1219`: Make all the static files path absolute. * :ghissue:`1218`: Added -q option to %prun for suppression of the output, along with editing the dochelp string. * :ghissue:`1217`: Added -q option to %prun for suppression of the output, along with editing the dochelp string * :ghissue:`1216`: Pdb tab completion does not work in QtConsole * :ghissue:`1197`: Interactive shell trying to: from ... import history * :ghissue:`1175`: core.completer: Clean up excessive and unused code. * :ghissue:`1208`: should dv.sync_import print failed imports ? * :ghissue:`1186`: payloadpage.py not used by qtconsole * :ghissue:`1204`: double newline from %loadpy in python notebook (at least on mac) * :ghissue:`1192`: Invalid JSON data * :ghissue:`1196`: docs: looks like a file path might have been accidentally pasted in the middle of a word * :ghissue:`1189`: Right justify of 'in' prompt in variable prompt size configurations * :ghissue:`1185`: ipython console not work proper with stdout... * :ghissue:`1191`: profile/startup files not executed with "notebook" * :ghissue:`1190`: Fix link to Chris Fonnesbeck blog post about 0.11 highlights. * :ghissue:`1174`: Remove %install_default_config and %install_profiles ipython-2.4.1/docs/source/whatsnew/github-stats-1.0.rst0000644000076500000000000031140212466235755023222 0ustar minrkwheel00000000000000.. _issues_list_100: Issues closed in the 1.0 development cycle ========================================== Issues closed in 1.1 -------------------- GitHub stats for 2013/08/08 - 2013/09/09 (since 1.0) These lists are automatically generated, and may be incomplete or contain duplicates. The following 25 authors contributed 337 commits. * Benjamin Ragan-Kelley * Bing Xia * Bradley M. Froehle * Brian E. Granger * Damián Avila * dhirschfeld * Dražen Lučanin * gmbecker * Jake Vanderplas * Jason Grout * Jonathan Frederic * Kevin Burke * Kyle Kelley * Matt Henderson * Matthew Brett * Matthias Bussonnier * Pankaj Pandey * Paul Ivanov * rossant * Samuel Ainsworth * Stephan Rave * stonebig * Thomas Kluyver * Yaroslav Halchenko * Zachary Sailer We closed a total of 76 issues, 58 pull requests and 18 regular issues; this is the full list (generated with the script :file:`tools/github_stats.py`): Pull Requests (58): * :ghpull:`4188`: Allow user_ns trait to be None * :ghpull:`4189`: always fire LOCAL_IPS.extend(PUBLIC_IPS) * :ghpull:`4174`: various issues in markdown and rst templates * :ghpull:`4178`: add missing data_javascript * :ghpull:`4181`: nbconvert: Fix, sphinx template not removing new lines from headers * :ghpull:`4043`: don't 'restore_bytes' in from_JSON * :ghpull:`4163`: Fix for incorrect default encoding on Windows. * :ghpull:`4136`: catch javascript errors in any output * :ghpull:`4171`: add nbconvert config file when creating profiles * :ghpull:`4125`: Basic exercise of `ipython [subcommand] -h` and help-all * :ghpull:`4085`: nbconvert: Fix sphinx preprocessor date format string for Windows * :ghpull:`4159`: don't split `.cell` and `div.cell` CSS * :ghpull:`4158`: generate choices for `--gui` configurable from real mapping * :ghpull:`4065`: do not include specific css in embedable one * :ghpull:`4092`: nbconvert: Fix for unicode html headers, Windows + Python 2.x * :ghpull:`4074`: close Client sockets if connection fails * :ghpull:`4064`: Store default codemirror mode in only 1 place * :ghpull:`4104`: Add way to install MathJax to a particular profile * :ghpull:`4144`: help_end transformer shouldn't pick up ? in multiline string * :ghpull:`4143`: update example custom.js * :ghpull:`4142`: DOC: unwrap openssl line in public_server doc * :ghpull:`4141`: add files with a separate `add` call in backport_pr * :ghpull:`4137`: Restore autorestore option for storemagic * :ghpull:`4098`: pass profile-dir instead of profile name to Kernel * :ghpull:`4120`: support `input` in Python 2 kernels * :ghpull:`4088`: nbconvert: Fix coalescestreams line with incorrect nesting causing strange behavior * :ghpull:`4060`: only strip continuation prompts if regular prompts seen first * :ghpull:`4132`: Fixed name error bug in function safe_unicode in module py3compat. * :ghpull:`4121`: move test_kernel from IPython.zmq to IPython.kernel * :ghpull:`4118`: ZMQ heartbeat channel: catch EINTR exceptions and continue. * :ghpull:`4054`: use unicode for HTML export * :ghpull:`4106`: fix a couple of default block values * :ghpull:`4115`: Update docs on declaring a magic function * :ghpull:`4101`: restore accidentally removed EngineError * :ghpull:`4096`: minor docs changes * :ghpull:`4056`: respect `pylab_import_all` when `--pylab` specified at the command-line * :ghpull:`4091`: Make Qt console banner configurable * :ghpull:`4086`: fix missing errno import * :ghpull:`4030`: exclude `.git` in MANIFEST.in * :ghpull:`4047`: Use istype() when checking if canned object is a dict * :ghpull:`4031`: don't close_fds on Windows * :ghpull:`4029`: bson.Binary moved * :ghpull:`4035`: Fixed custom jinja2 templates being ignored when setting template_path * :ghpull:`4026`: small doc fix in nbconvert * :ghpull:`4016`: Fix IPython.start_* functions * :ghpull:`4021`: Fix parallel.client.View map() on numpy arrays * :ghpull:`4022`: DOC: fix links to matplotlib, notebook docs * :ghpull:`4018`: Fix warning when running IPython.kernel tests * :ghpull:`4019`: Test skipping without unicode paths * :ghpull:`4008`: Transform code before %prun/%%prun runs * :ghpull:`4014`: Fix typo in ipapp * :ghpull:`3987`: get files list in backport_pr * :ghpull:`3974`: nbconvert: Fix app tests on Window7 w/ Python 3.3 * :ghpull:`3978`: fix `--existing` with non-localhost IP * :ghpull:`3939`: minor checkpoint cleanup * :ghpull:`3981`: BF: fix nbconvert rst input prompt spacing * :ghpull:`3960`: Don't make sphinx a dependency for importing nbconvert * :ghpull:`3973`: logging.Formatter is not new-style in 2.6 Issues (18): * :ghissue:`4024`: nbconvert markdown issues * :ghissue:`4095`: Catch js error in append html in stream/pyerr * :ghissue:`4156`: Specifying --gui=tk at the command line * :ghissue:`3818`: nbconvert can't handle Heading with Chinese characters on Japanese Windows OS. * :ghissue:`4134`: multi-line parser fails on ''' in comment, qtconsole and notebook. * :ghissue:`3998`: sample custom.js needs to be updated * :ghissue:`4078`: StoreMagic.autorestore not working in 1.0.0 * :ghissue:`3990`: Buitlin `input` doesn't work over zmq * :ghissue:`4015`: nbconvert fails to convert all the content of a notebook * :ghissue:`4059`: Issues with Ellipsis literal in Python 3 * :ghissue:`4103`: Wrong default argument of DirectView.clear * :ghissue:`4100`: parallel.client.client references undefined error.EngineError * :ghissue:`4005`: IPython.start_kernel doesn't work. * :ghissue:`4020`: IPython parallel map fails on numpy arrays * :ghissue:`3945`: nbconvert: commandline tests fail Win7x64 Py3.3 * :ghissue:`3977`: unable to complete remote connections for two-process * :ghissue:`3980`: nbconvert rst output lacks needed blank lines * :ghissue:`3968`: TypeError: super() argument 1 must be type, not classobj (Python 2.6.6) Issues closed in 1.0 -------------------- GitHub stats for 2012/06/30 - 2013/08/08 (since 0.13) These lists are automatically generated, and may be incomplete or contain duplicates. The following 155 authors contributed 4258 commits. * Aaron Meurer * Adam Davis * Ahmet Bakan * Alberto Valverde * Allen Riddell * Anders Hovmöller * Andrea Bedini * Andrew Spiers * Andrew Vandever * Anthony Scopatz * Anton Akhmerov * Anton I. Sipos * Antony Lee * Aron Ahmadia * Benedikt Sauer * Benjamin Jones * Benjamin Ragan-Kelley * Benjie Chen * Boris de Laage * Brad Reisfeld * Bradley M. Froehle * Brian E. Granger * Cameron Bates * Cavendish McKay * chapmanb * Chris Beaumont * Chris Laumann * Christoph Gohlke * codebraker * codespaced * Corran Webster * DamianHeard * Damián Avila * Dan Kilman * Dan McDougall * Danny Staple * David Hirschfeld * David P. Sanders * David Warde-Farley * David Wolever * David Wyde * debjan * Diane Trout * dkua * Dominik Dabrowski * Donald Curtis * Dražen Lučanin * drevicko * Eric O. LEBIGOT * Erik M. Bray * Erik Tollerud * Eugene Van den Bulke * Evan Patterson * Fernando Perez * Francesco Montesano * Frank Murphy * Greg Caporaso * Guy Haskin Fernald * guziy * Hans Meine * Harry Moreno * henryiii * Ivan Djokic * Jack Feser * Jake Vanderplas * jakobgager * James Booth * Jan Schulz * Jason Grout * Jeff Knisley * Jens Hedegaard Nielsen * jeremiahbuddha * Jerry Fowler * Jessica B. Hamrick * Jez Ng * John Zwinck * Jonathan Frederic * Jonathan Taylor * Joon Ro * Joseph Lansdowne * Juergen Hasch * Julian Taylor * Jussi Sainio * Jörgen Stenarson * kevin * klonuo * Konrad Hinsen * Kyle Kelley * Lars Solberg * Lessandro Mariano * Mark Sienkiewicz at STScI * Martijn Vermaat * Martin Spacek * Matthias Bussonnier * Maxim Grechkin * Maximilian Albert * MercuryRising * Michael Droettboom * Michael Shuffett * Michał Górny * Mikhail Korobov * mr.Shu * Nathan Goldbaum * ocefpaf * Ohad Ravid * Olivier Grisel * Olivier Verdier * Owen Healy * Pankaj Pandey * Paul Ivanov * Pawel Jasinski * Pietro Berkes * Piti Ongmongkolkul * Puneeth Chaganti * Rich Wareham * Richard Everson * Rick Lupton * Rob Young * Robert Kern * Robert Marchman * Robert McGibbon * Rui Pereira * Rustam Safin * Ryan May * s8weber * Samuel Ainsworth * Sean Vig * Siyu Zhang * Skylar Saveland * slojo404 * smithj1 * Stefan Karpinski * Stefan van der Walt * Steven Silvester * Takafumi Arakaki * Takeshi Kanmae * tcmulcahy * teegaar * Thomas Kluyver * Thomas Robitaille * Thomas Spura * Thomas Weißschuh * Timothy O'Donnell * Tom Dimiduk * ugurthemaster * urielshaolin * v923z * Valentin Haenel * Victor Zverovich * W. Trevor King * y-p * Yoav Ram * Zbigniew Jędrzejewski-Szmek * Zoltán Vörös We closed a total of 1484 issues, 793 pull requests and 691 regular issues; this is the full list (generated with the script :file:`tools/github_stats.py`): Pull Requests (793): * :ghpull:`3958`: doc update * :ghpull:`3965`: Fix ansi color code for background yellow * :ghpull:`3964`: Fix casing of message. * :ghpull:`3942`: Pass on install docs * :ghpull:`3962`: exclude IPython.lib.kernel in iptest * :ghpull:`3961`: Longpath test fix * :ghpull:`3905`: Remove references to 0.11 and 0.12 from config/overview.rst * :ghpull:`3951`: nbconvert: fixed latex characters not escaped properly in nbconvert * :ghpull:`3949`: log fatal error when PDF conversion fails * :ghpull:`3947`: nbconvert: Make writer & post-processor aliases case insensitive. * :ghpull:`3938`: Recompile css. * :ghpull:`3948`: sphinx and PDF tweaks * :ghpull:`3943`: nbconvert: Serve post-processor Windows fix * :ghpull:`3934`: nbconvert: fix logic of verbose flag in PDF post processor * :ghpull:`3929`: swallow enter event in rename dialog * :ghpull:`3924`: nbconvert: Backport fixes * :ghpull:`3925`: Replace --pylab flag with --matplotlib in usage * :ghpull:`3910`: Added explicit error message for missing configuration arguments. * :ghpull:`3913`: grffile to support spaces in notebook names * :ghpull:`3918`: added check_for_tornado, closes #3916 * :ghpull:`3917`: change docs/examples refs to be just examples * :ghpull:`3908`: what's new tweaks * :ghpull:`3896`: two column quickhelp dialog, closes #3895 * :ghpull:`3911`: explicitly load python mode before IPython mode * :ghpull:`3901`: don't force . relative path, fix #3897 * :ghpull:`3891`: fix #3889 * :ghpull:`3892`: Fix documentation of Kernel.stop_channels * :ghpull:`3888`: posixify paths for Windows latex * :ghpull:`3882`: quick fix for #3881 * :ghpull:`3877`: don't use `shell=True` in PDF export * :ghpull:`3878`: minor template loading cleanup * :ghpull:`3855`: nbconvert: Filter tests * :ghpull:`3879`: finish 3870 * :ghpull:`3870`: Fix for converting notebooks that contain unicode characters. * :ghpull:`3876`: Update parallel_winhpc.rst * :ghpull:`3872`: removing vim-ipython, since it has it's own repo * :ghpull:`3871`: updating docs * :ghpull:`3873`: remove old examples * :ghpull:`3868`: update CodeMirror component to 3.15 * :ghpull:`3865`: Escape filename for pdflatex in nbconvert * :ghpull:`3861`: remove old external.js * :ghpull:`3864`: add keyboard shortcut to docs * :ghpull:`3834`: This PR fixes a few issues with nbconvert tests * :ghpull:`3840`: prevent profile_dir from being undefined * :ghpull:`3859`: Add "An Afternoon Hack" to docs * :ghpull:`3854`: Catch errors filling readline history on startup * :ghpull:`3857`: Delete extra auto * :ghpull:`3845`: nbconvert: Serve from original build directory * :ghpull:`3846`: Add basic logging to nbconvert * :ghpull:`3850`: add missing store_history key to Notebook execute_requests * :ghpull:`3844`: update payload source * :ghpull:`3830`: mention metadata / display_data similarity in pyout spec * :ghpull:`3848`: fix incorrect `empty-docstring` * :ghpull:`3836`: Parse markdown correctly when mathjax is disabled * :ghpull:`3849`: skip a failing test on windows * :ghpull:`3828`: signature_scheme lives in Session * :ghpull:`3831`: update nbconvert doc with new CLI * :ghpull:`3822`: add output flag to nbconvert * :ghpull:`3780`: Added serving the output directory if html-based format are selected. * :ghpull:`3764`: Cleanup nbconvert templates * :ghpull:`3829`: remove now-duplicate 'this is dev' note * :ghpull:`3814`: add `ConsoleWidget.execute_on_complete_input` flag * :ghpull:`3826`: try rtfd * :ghpull:`3821`: add sphinx prolog * :ghpull:`3817`: relax timeouts in terminal console and tests * :ghpull:`3825`: fix more tests that fail when pandoc is missing * :ghpull:`3824`: don't set target on internal markdown links * :ghpull:`3816`: s/pylab/matplotlib in docs * :ghpull:`3812`: Describe differences between start_ipython and embed * :ghpull:`3805`: Print View has been removed * :ghpull:`3820`: Make it clear that 1.0 is not released yet * :ghpull:`3784`: nbconvert: Export flavors & PDF writer (ipy dev meeting) * :ghpull:`3800`: semantic-versionify version number for non-releases * :ghpull:`3802`: Documentation .txt to .rst * :ghpull:`3765`: cleanup terminal console iopub handling * :ghpull:`3720`: Fix for #3719 * :ghpull:`3787`: re-raise KeyboardInterrupt in raw_input * :ghpull:`3770`: Organizing reveal's templates. * :ghpull:`3751`: Use link(2) when possible in nbconvert * :ghpull:`3792`: skip tests that require pandoc * :ghpull:`3782`: add Importing Notebooks example * :ghpull:`3752`: nbconvert: Add cwd to sys.path * :ghpull:`3789`: fix raw_input in qtconsole * :ghpull:`3756`: document the wire protocol * :ghpull:`3749`: convert IPython syntax to Python syntax in nbconvert python template * :ghpull:`3793`: Closes #3788 * :ghpull:`3794`: Change logo link to ipython.org * :ghpull:`3746`: Raise a named exception when pandoc is missing * :ghpull:`3781`: comply with the message spec in the notebook * :ghpull:`3779`: remove bad `if logged_in` preventing new-notebook without login * :ghpull:`3743`: remove notebook read-only view * :ghpull:`3732`: add delay to autosave in beforeunload * :ghpull:`3761`: Added rm_math_space to markdown cells in the basichtml.tpl to be rendered ok by mathjax after the nbconvertion. * :ghpull:`3758`: nbconvert: Filter names cleanup * :ghpull:`3769`: Add configurability to tabcompletion timeout * :ghpull:`3771`: Update px pylab test to match new output of pylab * :ghpull:`3741`: better message when notebook format is not supported * :ghpull:`3753`: document Ctrl-C not working in ipython kernel * :ghpull:`3766`: handle empty metadata in pyout messages more gracefully. * :ghpull:`3736`: my attempt to fix #3735 * :ghpull:`3759`: nbconvert: Provide a more useful error for invalid use case. * :ghpull:`3760`: nbconvert: Allow notebook filenames without their extensions * :ghpull:`3750`: nbconvert: Add cwd to default templates search path. * :ghpull:`3748`: Update nbconvert docs * :ghpull:`3734`: Nbconvert: Export extracted files into `nbname_files` subdirectory * :ghpull:`3733`: Nicer message when pandoc is missing, closes #3730 * :ghpull:`3722`: fix two failing test in IPython.lib * :ghpull:`3704`: Start what's new for 1.0 * :ghpull:`3705`: Complete rewrite of IPython Notebook documentation: docs/source/interactive/htmlnotebook.txt * :ghpull:`3709`: Docs cleanup * :ghpull:`3716`: raw_input fixes for kernel restarts * :ghpull:`3683`: use `%matplotlib` in example notebooks * :ghpull:`3686`: remove quarantine * :ghpull:`3699`: svg2pdf unicode fix * :ghpull:`3695`: fix SVG2PDF * :ghpull:`3685`: fix Pager.detach * :ghpull:`3675`: document new dependencies * :ghpull:`3690`: Fixing some css minors in full_html and reveal. * :ghpull:`3671`: nbconvert tests * :ghpull:`3692`: Fix rename notebook - show error with invalid name * :ghpull:`3409`: Prevent qtconsole frontend freeze on lots of output. * :ghpull:`3660`: refocus active cell on dialog close * :ghpull:`3598`: Statelessify mathjaxutils * :ghpull:`3673`: enable comment/uncomment selection * :ghpull:`3677`: remove special-case in get_home_dir for frozen dists * :ghpull:`3674`: add CONTRIBUTING.md * :ghpull:`3670`: use Popen command list for ipexec * :ghpull:`3568`: pylab import adjustments * :ghpull:`3559`: add create.Cell and delete.Cell js events * :ghpull:`3606`: push cell magic to the head of the transformer line * :ghpull:`3607`: NbConvert: Writers, No YAML, and stuff... * :ghpull:`3665`: Pywin32 skips * :ghpull:`3669`: set default client_class for QtKernelManager * :ghpull:`3662`: add strip_encoding_cookie transformer * :ghpull:`3641`: increase patience for slow kernel startup in tests * :ghpull:`3651`: remove a bunch of unused `default_config_file` assignments * :ghpull:`3630`: CSS adjustments * :ghpull:`3645`: Don't require HistoryManager to have a shell * :ghpull:`3643`: don't assume tested ipython is on the PATH * :ghpull:`3654`: fix single-result AsyncResults * :ghpull:`3601`: Markdown in heading cells (take 2) * :ghpull:`3652`: Remove old `docs/examples` * :ghpull:`3621`: catch any exception appending output * :ghpull:`3585`: don't blacklist builtin names * :ghpull:`3647`: Fix `frontend` deprecation warnings in several examples * :ghpull:`3649`: fix AsyncResult.get_dict for single result * :ghpull:`3648`: Fix store magic test * :ghpull:`3650`: Fix, config_file_name was ignored * :ghpull:`3640`: Gcf.get_active() can return None * :ghpull:`3571`: Added shorcuts to split cell, merge cell above and merge cell below. * :ghpull:`3635`: Added missing slash to print-pdf call. * :ghpull:`3487`: Drop patch for compatibility with pyreadline 1.5 * :ghpull:`3338`: Allow filename with extension in find_cmd in Windows. * :ghpull:`3628`: Fix test for Python 3 on Windows. * :ghpull:`3642`: Fix typo in docs * :ghpull:`3627`: use DEFAULT_STATIC_FILES_PATH in a test instead of package dir * :ghpull:`3624`: fix some unicode in zmqhandlers * :ghpull:`3460`: Set calling program to UNKNOWN, when argv not in sys * :ghpull:`3632`: Set calling program to UNKNOWN, when argv not in sys (take #2) * :ghpull:`3629`: Use new entry point for python -m IPython * :ghpull:`3626`: passing cell to showInPager, closes #3625 * :ghpull:`3618`: expand terminal color support * :ghpull:`3623`: raise UsageError for unsupported GUI backends * :ghpull:`3071`: Add magic function %drun to run code in debugger * :ghpull:`3608`: a nicer error message when using %pylab magic * :ghpull:`3592`: add extra_config_file * :ghpull:`3612`: updated .mailmap * :ghpull:`3616`: Add examples for interactive use of MPI. * :ghpull:`3615`: fix regular expression for ANSI escapes * :ghpull:`3586`: Corrected a typo in the format string for strftime the sphinx.py transformer of nbconvert * :ghpull:`3611`: check for markdown no longer needed, closes #3610 * :ghpull:`3555`: Simplify caching of modules with %run * :ghpull:`3583`: notebook small things * :ghpull:`3594`: Fix duplicate completion in notebook * :ghpull:`3600`: parallel: Improved logging for errors during BatchSystemLauncher.stop * :ghpull:`3595`: Revert "allow markdown in heading cells" * :ghpull:`3538`: add IPython.start_ipython * :ghpull:`3562`: Allow custom nbconvert template loaders * :ghpull:`3582`: pandoc adjustments * :ghpull:`3560`: Remove max_msg_size * :ghpull:`3591`: Refer to Setuptools instead of Distribute * :ghpull:`3590`: IPython.sphinxext needs an __init__.py * :ghpull:`3581`: Added the possibility to read a custom.css file for tweaking the final html in full_html and reveal templates. * :ghpull:`3576`: Added support for markdown in heading cells when they are nbconverted. * :ghpull:`3575`: tweak `run -d` message to 'continue execution' * :ghpull:`3569`: add PYTHONSTARTUP to startup files * :ghpull:`3567`: Trigger a single event on js app initilized * :ghpull:`3565`: style.min.css shoudl always exist... * :ghpull:`3531`: allow markdown in heading cells * :ghpull:`3577`: Simplify codemirror ipython-mode * :ghpull:`3495`: Simplified regexp, and suggestions for clearer regexps. * :ghpull:`3578`: Use adjustbox to specify figure size in nbconvert -> latex * :ghpull:`3572`: Skip import irunner test on Windows. * :ghpull:`3574`: correct static path for CM modes autoload * :ghpull:`3558`: Add IPython.sphinxext * :ghpull:`3561`: mention double-control-C to stop notebook server * :ghpull:`3566`: fix event names * :ghpull:`3564`: Remove trivial nbconvert example * :ghpull:`3540`: allow cython cache dir to be deleted * :ghpull:`3527`: cleanup stale, unused exceptions in parallel.error * :ghpull:`3529`: ensure raw_input returns str in zmq shell * :ghpull:`3541`: respect image size metadata in qtconsole * :ghpull:`3550`: Fixing issue preventing the correct read of images by full_html and reveal exporters. * :ghpull:`3557`: open markdown links in new tabs * :ghpull:`3556`: remove mention of nonexistent `_margv` in macro * :ghpull:`3552`: set overflow-x: hidden on Firefox only * :ghpull:`3554`: Fix missing import os in latex exporter. * :ghpull:`3546`: Don't hardcode **latex** posix paths in nbconvert * :ghpull:`3551`: fix path prefix in nbconvert * :ghpull:`3533`: Use a CDN to get reveal.js library. * :ghpull:`3498`: When a notebook is written to file, name the metadata name u''. * :ghpull:`3548`: Change to standard save icon in Notebook toolbar * :ghpull:`3539`: Don't hardcode posix paths in nbconvert * :ghpull:`3508`: notebook supports raw_input and %debug now * :ghpull:`3526`: ensure 'default' is first in cluster profile list * :ghpull:`3525`: basic timezone info * :ghpull:`3532`: include nbconvert templates in installation * :ghpull:`3515`: update CodeMirror component to 3.14 * :ghpull:`3513`: add 'No Checkpoints' to Revert menu * :ghpull:`3536`: format positions are required in Python 2.6.x * :ghpull:`3521`: Nbconvert fix, silent fail if template doesn't exist * :ghpull:`3530`: update %store magic docstring * :ghpull:`3528`: fix local mathjax with custom base_project_url * :ghpull:`3518`: Clear up unused imports * :ghpull:`3506`: %store -r restores saved aliases and directory history, as well as variables * :ghpull:`3516`: make css highlight style configurable * :ghpull:`3523`: Exclude frontend shim from docs build * :ghpull:`3514`: use bootstrap `disabled` instead of `ui-state-disabled` * :ghpull:`3520`: Added relative import of RevealExporter to __init__.py inside exporters module * :ghpull:`3507`: fix HTML capitalization in nbconvert exporter classes * :ghpull:`3512`: fix nbconvert filter validation * :ghpull:`3511`: Get Tracer working after ipapi.get replaced with get_ipython * :ghpull:`3510`: use `window.onbeforeunload=` for nav-away warning * :ghpull:`3504`: don't use parent=self in handlers * :ghpull:`3500`: Merge nbconvert into IPython * :ghpull:`3478`: restore "unsaved changes" warning on unload * :ghpull:`3493`: add a dialog when the kernel is auto-restarted * :ghpull:`3488`: Add test suite for autoreload extension * :ghpull:`3484`: Catch some pathological cases inside oinspect * :ghpull:`3481`: Display R errors without Python traceback * :ghpull:`3468`: fix `%magic` output * :ghpull:`3430`: add parent to Configurable * :ghpull:`3491`: Remove unexpected keyword parameter to remove_kernel * :ghpull:`3485`: SymPy has changed its recommended way to initialize printing * :ghpull:`3486`: Add test for non-ascii characters in docstrings * :ghpull:`3483`: Inputtransformer: Allow classic prompts without space * :ghpull:`3482`: Use an absolute path to iptest, because the tests are not always run from $IPYTHONDIR. * :ghpull:`3381`: enable 2x (retina) display * :ghpull:`3450`: Flatten IPython.frontend * :ghpull:`3477`: pass config to subapps * :ghpull:`3466`: Kernel fails to start when username has non-ascii characters * :ghpull:`3465`: Add HTCondor bindings to IPython.parallel * :ghpull:`3463`: fix typo, closes #3462 * :ghpull:`3456`: Notice for users who disable javascript * :ghpull:`3453`: fix cell execution in firefox, closes #3447 * :ghpull:`3393`: [WIP] bootstrapify * :ghpull:`3440`: Fix installing mathjax from downloaded file via command line * :ghpull:`3431`: Provide means for starting the Qt console maximized and with the menu bar hidden * :ghpull:`3425`: base IPClusterApp inherits from BaseIPythonApp * :ghpull:`3433`: Update IPython\external\path\__init__.py * :ghpull:`3298`: Some fixes in IPython Sphinx directive * :ghpull:`3428`: process escapes in mathjax * :ghpull:`3420`: thansk -> thanks * :ghpull:`3416`: Fix doc: "principle" not "principal" * :ghpull:`3413`: more unique filename for test * :ghpull:`3364`: Inject requirejs in notebook and start using it. * :ghpull:`3390`: Fix %paste with blank lines * :ghpull:`3403`: fix creating config objects from dicts * :ghpull:`3401`: rollback #3358 * :ghpull:`3373`: make cookie_secret configurable * :ghpull:`3307`: switch default ws_url logic to js side * :ghpull:`3392`: Restore anchor link on h2-h6 * :ghpull:`3369`: Use different treshold for (auto)scroll in output * :ghpull:`3370`: normalize unicode notebook filenames * :ghpull:`3372`: base default cookie name on request host+port * :ghpull:`3378`: disable CodeMirror drag/drop on Safari * :ghpull:`3358`: workaround spurious CodeMirror scrollbars * :ghpull:`3371`: make setting the notebook dirty flag an event * :ghpull:`3366`: remove long-dead zmq frontend.py and completer.py * :ghpull:`3382`: cull Session digest history * :ghpull:`3330`: Fix get_ipython_dir when $HOME is / * :ghpull:`3319`: IPEP 13: user-expressions and user-variables * :ghpull:`3384`: comments in tools/gitwash_dumper.py changed (''' to """) * :ghpull:`3387`: Make submodule checks work under Python 3. * :ghpull:`3357`: move anchor-link off of heading text * :ghpull:`3351`: start basic tests of ipcluster Launchers * :ghpull:`3377`: allow class.__module__ to be None * :ghpull:`3340`: skip submodule check in package managers * :ghpull:`3328`: decode subprocess output in launchers * :ghpull:`3368`: Reenable bracket matching * :ghpull:`3356`: Mpr fixes * :ghpull:`3336`: Use new input transformation API in %time magic * :ghpull:`3325`: Organize the JS and less files by component. * :ghpull:`3342`: fix test_find_cmd_python * :ghpull:`3354`: catch socket.error in utils.localinterfaces * :ghpull:`3341`: fix default cluster count * :ghpull:`3286`: don't use `get_ipython` from builtins in library code * :ghpull:`3333`: notebookapp: add missing whitespace to warnings * :ghpull:`3323`: Strip prompts even if the prompt isn't present on the first line. * :ghpull:`3321`: Reorganize the python/server side of the notebook * :ghpull:`3320`: define `__file__` in config files * :ghpull:`3317`: rename `%%file` to `%%writefile` * :ghpull:`3304`: set unlimited HWM for all relay devices * :ghpull:`3315`: Update Sympy_printing extension load * :ghpull:`3310`: further clarify Image docstring * :ghpull:`3285`: load extensions in builtin trap * :ghpull:`3308`: Speed up AsyncResult._wait_for_outputs(0) * :ghpull:`3294`: fix callbacks as optional in js kernel.execute * :ghpull:`3276`: Fix: "python ABS/PATH/TO/ipython.py" fails * :ghpull:`3301`: allow python3 tests without python installed * :ghpull:`3282`: allow view.map to work with a few more things * :ghpull:`3284`: remove `ipython.py` entry point * :ghpull:`3281`: fix ignored IOPub messages with no parent * :ghpull:`3275`: improve submodule messages / git hooks * :ghpull:`3239`: Allow "x" icon and esc key to close pager in notebook * :ghpull:`3290`: Improved heartbeat controller to engine monitoring for long running tasks * :ghpull:`3142`: Better error message when CWD doesn't exist on startup * :ghpull:`3066`: Add support for relative import to %run -m (fixes #2727) * :ghpull:`3269`: protect highlight.js against unknown languages * :ghpull:`3267`: add missing return * :ghpull:`3101`: use marked / highlight.js instead of pagedown and prettify * :ghpull:`3264`: use https url for submodule * :ghpull:`3263`: fix set_last_checkpoint when no checkpoint * :ghpull:`3258`: Fix submodule location in setup.py * :ghpull:`3254`: fix a few URLs from previous PR * :ghpull:`3240`: remove js components from the repo * :ghpull:`3158`: IPEP 15: autosave the notebook * :ghpull:`3252`: move images out of _static folder into _images * :ghpull:`3251`: Fix for cell magics in Qt console * :ghpull:`3250`: Added a simple __html__() method to the HTML class * :ghpull:`3249`: remove copy of sphinx inheritance_diagram.py * :ghpull:`3235`: Remove the unused print notebook view * :ghpull:`3238`: Improve the design of the tab completion UI * :ghpull:`3242`: Make changes of Application.log_format effective * :ghpull:`3219`: Workaround so only one CTRL-C is required for a new prompt in --gui=qt * :ghpull:`3190`: allow formatters to specify metadata * :ghpull:`3231`: improve discovery of public IPs * :ghpull:`3233`: check prefixes for swallowing kernel args * :ghpull:`3234`: Removing old autogrow JS code. * :ghpull:`3232`: Update to CodeMirror 3 and start to ship our components * :ghpull:`3229`: The HTML output type accidentally got removed from the OutputArea. * :ghpull:`3228`: Typo in IPython.Parallel documentation * :ghpull:`3226`: Text in rename dialog was way too big - making it

    . * :ghpull:`3225`: Removing old restuctured text handler and web service. * :ghpull:`3222`: make BlockingKernelClient the default Client * :ghpull:`3223`: add missing mathjax_url to new settings dict * :ghpull:`3089`: add stdin to the notebook * :ghpull:`3221`: Remove references to HTMLCell (dead code) * :ghpull:`3205`: add ignored ``*args`` to HasTraits constructor * :ghpull:`3088`: cleanup IPython handler settings * :ghpull:`3201`: use much faster regexp for ansi coloring * :ghpull:`3220`: avoid race condition in profile creation * :ghpull:`3011`: IPEP 12: add KernelClient * :ghpull:`3217`: informative error when trying to load directories * :ghpull:`3174`: Simple class * :ghpull:`2979`: CM configurable Take 2 * :ghpull:`3215`: Updates storemagic extension to allow for specifying variable name to load * :ghpull:`3181`: backport If-Modified-Since fix from tornado * :ghpull:`3200`: IFrame (VimeoVideo, ScribdDocument, ...) * :ghpull:`3186`: Fix small inconsistency in nbconvert: etype -> ename * :ghpull:`3212`: Fix issue #2563, "core.profiledir.check_startup_dir() doesn't work inside py2exe'd installation" * :ghpull:`3211`: Fix inheritance_diagram Sphinx extension for Sphinx 1.2 * :ghpull:`3208`: Update link to extensions index * :ghpull:`3203`: Separate InputSplitter for transforming whole cells * :ghpull:`3189`: Improve completer * :ghpull:`3194`: finish up PR #3116 * :ghpull:`3188`: Add new keycodes * :ghpull:`2695`: Key the root modules cache by sys.path entries. * :ghpull:`3182`: clarify %%file docstring * :ghpull:`3163`: BUG: Fix the set and frozenset pretty printer to handle the empty case correctly * :ghpull:`3180`: better UsageError for cell magic with no body * :ghpull:`3184`: Cython cache * :ghpull:`3175`: Added missing s * :ghpull:`3173`: Little bits of documentation cleanup * :ghpull:`2635`: Improve Windows start menu shortcuts (#2) * :ghpull:`3172`: Add missing import in IPython parallel magics example * :ghpull:`3170`: default application logger shouldn't propagate * :ghpull:`3159`: Autocompletion for zsh * :ghpull:`3105`: move DEFAULT_STATIC_FILES_PATH to IPython.html * :ghpull:`3144`: minor bower tweaks * :ghpull:`3141`: Default color output for ls on OSX * :ghpull:`3137`: fix dot syntax error in inheritance diagram * :ghpull:`3072`: raise UnsupportedOperation on iostream.fileno() * :ghpull:`3147`: Notebook support for a reverse proxy which handles SSL * :ghpull:`3152`: make qtconsole size at startup configurable * :ghpull:`3162`: adding stream kwarg to current.new_output * :ghpull:`2981`: IPEP 10: kernel side filtering of display formats * :ghpull:`3058`: add redirect handler for notebooks by name * :ghpull:`3041`: support non-modules in @require * :ghpull:`2447`: Stateful line transformers * :ghpull:`3108`: fix some O(N) and O(N^2) operations in parallel.map * :ghpull:`2791`: forward stdout from forked processes * :ghpull:`3157`: use Python 3-style for pretty-printed sets * :ghpull:`3148`: closes #3045, #3123 for tornado < version 3.0 * :ghpull:`3143`: minor heading-link tweaks * :ghpull:`3136`: Strip useless ANSI escape codes in notebook * :ghpull:`3126`: Prevent errors when pressing arrow keys in an empty notebook * :ghpull:`3135`: quick dev installation instructions * :ghpull:`2889`: Push pandas dataframes to R magic * :ghpull:`3068`: Don't monkeypatch doctest during IPython startup. * :ghpull:`3133`: fix argparse version check * :ghpull:`3102`: set `spellcheck=false` in CodeCell inputarea * :ghpull:`3064`: add anchors to heading cells * :ghpull:`3097`: PyQt 4.10: use self._document = self.document() * :ghpull:`3117`: propagate automagic change to shell * :ghpull:`3118`: don't give up on weird os names * :ghpull:`3115`: Fix example * :ghpull:`2640`: fix quarantine/ipy_editors.py * :ghpull:`3070`: Add info make target that was missing in old Sphinx * :ghpull:`3082`: A few small patches to image handling * :ghpull:`3078`: fix regular expression for detecting links in stdout * :ghpull:`3054`: restore default behavior for automatic cluster size * :ghpull:`3073`: fix ipython usage text * :ghpull:`3083`: fix DisplayMagics.html docstring * :ghpull:`3080`: noted sub_channel being renamed to iopub_channel * :ghpull:`3079`: actually use IPKernelApp.kernel_class * :ghpull:`3076`: Improve notebook.js documentation * :ghpull:`3063`: add missing `%%html` magic * :ghpull:`3075`: check for SIGUSR1 before using it, closes #3074 * :ghpull:`3051`: add width:100% to vbox for webkit / FF consistency * :ghpull:`2999`: increase registration timeout * :ghpull:`2997`: fix DictDB default size limit * :ghpull:`3033`: on resume, print server info again * :ghpull:`3062`: test double pyximport * :ghpull:`3046`: cast kernel cwd to bytes on Python 2 on Windows * :ghpull:`3038`: remove xml from notebook magic docstrings * :ghpull:`3032`: fix time format to international time format * :ghpull:`3022`: Fix test for Windows * :ghpull:`3024`: changed instances of 'outout' to 'output' in alt texts * :ghpull:`3013`: py3 workaround for reload in cythonmagic * :ghpull:`2961`: time magic: shorten unnecessary output on windows * :ghpull:`2987`: fix local files examples in markdown * :ghpull:`2998`: fix css in .output_area pre * :ghpull:`3003`: add $include /etc/inputrc to suggested ~/.inputrc * :ghpull:`2957`: Refactor qt import logic. Fixes #2955 * :ghpull:`2994`: expanduser on %%file targets * :ghpull:`2983`: fix run-all (that-> this) * :ghpull:`2964`: fix count when testing composite error output * :ghpull:`2967`: shows entire session history when only startsess is given * :ghpull:`2942`: Move CM IPython theme out of codemirror folder * :ghpull:`2929`: Cleanup cell insertion * :ghpull:`2933`: Minordocupdate * :ghpull:`2968`: fix notebook deletion. * :ghpull:`2966`: Added assert msg to extract_hist_ranges() * :ghpull:`2959`: Add command to trim the history database. * :ghpull:`2681`: Don't enable pylab mode, when matplotlib is not importable * :ghpull:`2901`: Fix inputhook_wx on osx * :ghpull:`2871`: truncate potentially long CompositeErrors * :ghpull:`2951`: use istype on lists/tuples * :ghpull:`2946`: fix qtconsole history logic for end-of-line * :ghpull:`2954`: fix logic for append_javascript * :ghpull:`2941`: fix baseUrl * :ghpull:`2903`: Specify toggle value on cell line number * :ghpull:`2911`: display order in output area configurable * :ghpull:`2897`: Dont rely on BaseProjectUrl data in body tag * :ghpull:`2894`: Cm configurable * :ghpull:`2927`: next release will be 1.0 * :ghpull:`2932`: Simplify using notebook static files from external code * :ghpull:`2915`: added small config section to notebook docs page * :ghpull:`2924`: safe_run_module: Silence SystemExit codes 0 and None. * :ghpull:`2906`: Unpatch/Monkey patch CM * :ghpull:`2921`: add menu item for undo delete cell * :ghpull:`2917`: Don't add logging handler if one already exists. * :ghpull:`2910`: Respect DB_IP and DB_PORT in mongodb tests * :ghpull:`2926`: Don't die if stderr/stdout do not support set_parent() #2925 * :ghpull:`2885`: get monospace pager back * :ghpull:`2876`: fix celltoolbar layout on FF * :ghpull:`2904`: Skip remaining IPC test on Windows * :ghpull:`2908`: fix last remaining KernelApp reference * :ghpull:`2905`: fix a few remaining KernelApp/IPKernelApp changes * :ghpull:`2900`: Don't assume test case for %time will finish in 0 time * :ghpull:`2893`: exclude fabfile from tests * :ghpull:`2884`: Correct import for kernelmanager on Windows * :ghpull:`2882`: Utils cleanup * :ghpull:`2883`: Don't call ast.fix_missing_locations unless the AST could have been modified * :ghpull:`2855`: time(it) magic: Implement minutes/hour formatting and "%%time" cell magic * :ghpull:`2874`: Empty cell warnings * :ghpull:`2819`: tweak history prefix search (up/^p) in qtconsole * :ghpull:`2868`: Import performance * :ghpull:`2877`: minor css fixes * :ghpull:`2880`: update examples docs with kernel move * :ghpull:`2878`: Pass host environment on to kernel * :ghpull:`2599`: func_kw_complete for builtin and cython with embededsignature=True using docstring * :ghpull:`2792`: Add key "unique" to history_request protocol * :ghpull:`2872`: fix payload keys * :ghpull:`2869`: Fixing styling of toolbar selects on FF. * :ghpull:`2708`: Less css * :ghpull:`2854`: Move kernel code into IPython.kernel * :ghpull:`2864`: Fix %run -t -N TypeError * :ghpull:`2852`: future pyzmq compatibility * :ghpull:`2863`: whatsnew/version0.9.txt: Fix '~./ipython' -> '~/.ipython' typo * :ghpull:`2861`: add missing KernelManager to ConsoleApp class list * :ghpull:`2850`: Consolidate host IP detection in utils.localinterfaces * :ghpull:`2859`: Correct docstring of ipython.py * :ghpull:`2831`: avoid string version comparisons in external.qt * :ghpull:`2844`: this should address the failure in #2732 * :ghpull:`2849`: utils/data: Use list comprehension for uniq_stable() * :ghpull:`2839`: add jinja to install docs / setup.py * :ghpull:`2841`: Miscellaneous docs fixes * :ghpull:`2811`: Still more KernelManager cleanup * :ghpull:`2820`: add '=' to greedy completer delims * :ghpull:`2818`: log user tracebacks in the kernel (INFO-level) * :ghpull:`2828`: Clean up notebook Javascript * :ghpull:`2829`: avoid comparison error in dictdb hub history * :ghpull:`2830`: BUG: Opening parenthesis after non-callable raises ValueError * :ghpull:`2718`: try to fallback to pysqlite2.dbapi2 as sqlite3 in core.history * :ghpull:`2816`: in %edit, don't save "last_call" unless last call succeeded * :ghpull:`2817`: change ol format order * :ghpull:`2537`: Organize example notebooks * :ghpull:`2815`: update release/authors * :ghpull:`2808`: improve patience for slow Hub in client tests * :ghpull:`2812`: remove nonfunctional `-la` short arg in cython magic * :ghpull:`2810`: remove dead utils.upgradedir * :ghpull:`1671`: __future__ environments * :ghpull:`2804`: skip ipc tests on Windows * :ghpull:`2789`: Fixing styling issues with CellToolbar. * :ghpull:`2805`: fix KeyError creating ZMQStreams in notebook * :ghpull:`2775`: General cleanup of kernel manager code. * :ghpull:`2340`: Initial Code to reduce parallel.Client caching * :ghpull:`2799`: Exit code * :ghpull:`2800`: use `type(obj) is cls` as switch when canning * :ghpull:`2801`: Fix a breakpoint bug * :ghpull:`2795`: Remove outdated code from extensions.autoreload * :ghpull:`2796`: P3K: fix cookie parsing under Python 3.x (+ duplicate import is removed) * :ghpull:`2724`: In-process kernel support (take 3) * :ghpull:`2687`: [WIP] Metaui slideshow * :ghpull:`2788`: Chrome frame awareness * :ghpull:`2649`: Add version_request/reply messaging protocol * :ghpull:`2753`: add `%%px --local` for local execution * :ghpull:`2783`: Prefilter shouldn't touch execution_count * :ghpull:`2333`: UI For Metadata * :ghpull:`2396`: create a ipynbv3 json schema and a validator * :ghpull:`2757`: check for complete pyside presence before trying to import * :ghpull:`2782`: Allow the %run magic with '-b' to specify a file. * :ghpull:`2778`: P3K: fix DeprecationWarning under Python 3.x * :ghpull:`2776`: remove non-functional View.kill method * :ghpull:`2755`: can interactively defined classes * :ghpull:`2774`: Removing unused code in the notebook MappingKernelManager. * :ghpull:`2773`: Fixed minor typo causing AttributeError to be thrown. * :ghpull:`2609`: Add 'unique' option to history_request messaging protocol * :ghpull:`2769`: Allow shutdown when no engines are registered * :ghpull:`2766`: Define __file__ when we %edit a real file. * :ghpull:`2476`: allow %edit to work when interactively defined * :ghpull:`2763`: Reset readline delimiters after loading rmagic. * :ghpull:`2460`: Better handling of `__file__` when running scripts. * :ghpull:`2617`: Fix for `units` argument. Adds a `res` argument. * :ghpull:`2738`: Unicode content crashes the pager (console) * :ghpull:`2749`: Tell Travis CI to test on Python 3.3 as well * :ghpull:`2744`: Don't show 'try %paste' message while using magics * :ghpull:`2728`: shift tab for tooltip * :ghpull:`2741`: Add note to `%cython` Black-Scholes example warning of missing erf. * :ghpull:`2743`: BUG: Octavemagic inline plots not working on Windows: Fixed * :ghpull:`2740`: Following #2737 this error is now a name error * :ghpull:`2737`: Rmagic: error message when moving an non-existant variable from python to R * :ghpull:`2723`: diverse fixes for project url * :ghpull:`2731`: %Rpush: Look for variables in the local scope first. * :ghpull:`2544`: Infinite loop when multiple debuggers have been attached. * :ghpull:`2726`: Add qthelp docs creation * :ghpull:`2730`: added blockquote CSS * :ghpull:`2729`: Fix Read the doc build, Again * :ghpull:`2446`: [alternate 2267] Offline mathjax * :ghpull:`2716`: remove unexisting headings level * :ghpull:`2717`: One liner to fix debugger printing stack traces when lines of context are larger than source. * :ghpull:`2713`: Doc bugfix: user_ns is not an attribute of Magic objects. * :ghpull:`2690`: Fix 'import '... completion for py3 & egg files. * :ghpull:`2691`: Document OpenMP in %%cython magic * :ghpull:`2699`: fix jinja2 rendering for password protected notebooks * :ghpull:`2700`: Skip notebook testing if jinja2 is not available. * :ghpull:`2692`: Add %%cython magics to generated documentation. * :ghpull:`2685`: Fix pretty print of types when `__module__` is not available. * :ghpull:`2686`: Fix tox.ini * :ghpull:`2604`: Backslashes are misinterpreted as escape-sequences by the R-interpreter. * :ghpull:`2689`: fix error in doc (arg->kwarg) and pep-8 * :ghpull:`2683`: for downloads, replaced window.open with window.location.assign * :ghpull:`2659`: small bugs in js are fixed * :ghpull:`2363`: Refactor notebook templates to use Jinja2 * :ghpull:`2662`: qtconsole: wrap argument list in tooltip to match width of text body * :ghpull:`2328`: addition of classes to generate a link or list of links from files local to the IPython HTML notebook * :ghpull:`2668`: pylab_not_importable: Catch all exceptions, not just RuntimeErrors. * :ghpull:`2663`: Fix issue #2660: parsing of help and version arguments * :ghpull:`2656`: Fix irunner tests when $PYTHONSTARTUP is set * :ghpull:`2312`: Add bracket matching to code cells in notebook * :ghpull:`2571`: Start to document Javascript * :ghpull:`2641`: undefinied that -> this * :ghpull:`2638`: Fix %paste in Python 3 on Mac * :ghpull:`2301`: Ast transfomers * :ghpull:`2616`: Revamp API docs * :ghpull:`2572`: Make 'Paste Above' the default paste behavior. * :ghpull:`2574`: Fix #2244 * :ghpull:`2582`: Fix displaying history when output cache is disabled. * :ghpull:`2591`: Fix for Issue #2584 * :ghpull:`2526`: Don't kill paramiko tunnels when receiving ^C * :ghpull:`2559`: Add psource, pfile, pinfo2 commands to ipdb. * :ghpull:`2546`: use 4 Pythons to build 4 Windows installers * :ghpull:`2561`: Fix display of plain text containing multiple carriage returns before line feed * :ghpull:`2549`: Add a simple 'undo' for cell deletion. * :ghpull:`2525`: Add event to kernel execution/shell reply. * :ghpull:`2554`: Avoid stopping in ipdb until we reach the main script. * :ghpull:`2404`: Option to limit search result in history magic command * :ghpull:`2294`: inputhook_qt4: Use QEventLoop instead of starting up the QCoreApplication * :ghpull:`2233`: Refactored Drag and Drop Support in Qt Console * :ghpull:`1747`: switch between hsplit and vsplit paging (request for feedback) * :ghpull:`2530`: Adding time offsets to the video * :ghpull:`2542`: Allow starting IPython as `python -m IPython`. * :ghpull:`2534`: Do not unescape backslashes in Windows (shellglob) * :ghpull:`2517`: Improved MathJax, bug fixes * :ghpull:`2511`: trigger default remote_profile_dir when profile_dir is set * :ghpull:`2491`: color is supported in ironpython * :ghpull:`2462`: Track which extensions are loaded * :ghpull:`2464`: Locate URLs in text output and convert them to hyperlinks. * :ghpull:`2490`: add ZMQInteractiveShell to IPEngineApp class list * :ghpull:`2498`: Don't catch tab press when something selected * :ghpull:`2527`: Run All Above and Run All Below * :ghpull:`2513`: add GitHub uploads to release script * :ghpull:`2529`: Windows aware tests for shellglob * :ghpull:`2478`: Fix doctest_run_option_parser for Windows * :ghpull:`2519`: clear In[ ] prompt numbers again * :ghpull:`2467`: Clickable links * :ghpull:`2500`: Add `encoding` attribute to `OutStream` class. * :ghpull:`2349`: ENH: added StackExchange-style MathJax filtering * :ghpull:`2503`: Fix traceback handling of SyntaxErrors without line numbers. * :ghpull:`2492`: add missing 'qtconsole' extras_require * :ghpull:`2480`: Add deprecation warnings for sympyprinting * :ghpull:`2334`: Make the ipengine monitor the ipcontroller heartbeat and die if the ipcontroller goes down * :ghpull:`2479`: use new _winapi instead of removed _subprocess * :ghpull:`2474`: fix bootstrap name conflicts * :ghpull:`2469`: Treat __init__.pyc same as __init__.py in module_list * :ghpull:`2165`: Add -g option to %run to glob expand arguments * :ghpull:`2468`: Tell git to ignore __pycache__ directories. * :ghpull:`2421`: Some notebook tweaks. * :ghpull:`2291`: Remove old plugin system * :ghpull:`2127`: Ability to build toolbar in JS * :ghpull:`2445`: changes for ironpython * :ghpull:`2420`: Pass ipython_dir to __init__() method of TerminalInteractiveShell's superclass. * :ghpull:`2432`: Revert #1831, the `__file__` injection in safe_execfile / safe_execfile_ipy. * :ghpull:`2216`: Autochange highlight with cell magics * :ghpull:`1946`: Add image message handler in ZMQTerminalInteractiveShell * :ghpull:`2424`: skip find_cmd when setting up script magics * :ghpull:`2389`: Catch sqlite DatabaseErrors in more places when reading the history database * :ghpull:`2395`: Don't catch ImportError when trying to unpack module functions * :ghpull:`1868`: enable IPC transport for kernels * :ghpull:`2437`: don't let log cleanup prevent engine start * :ghpull:`2441`: `sys.maxsize` is the maximum length of a container. * :ghpull:`2442`: allow iptest to be interrupted * :ghpull:`2240`: fix message built for engine dying during task * :ghpull:`2369`: Block until kernel termination after sending a kill signal * :ghpull:`2439`: Py3k: Octal (0777 -> 0o777) * :ghpull:`2326`: Detachable pager in notebook. * :ghpull:`2377`: Fix installation of man pages in Python 3 * :ghpull:`2407`: add IPython version to message headers * :ghpull:`2408`: Fix Issue #2366 * :ghpull:`2405`: clarify TaskScheduler.hwm doc * :ghpull:`2399`: IndentationError display * :ghpull:`2400`: Add scroll_to_cell(cell_number) to the notebook * :ghpull:`2401`: unmock read-the-docs modules * :ghpull:`2311`: always perform requested trait assignments * :ghpull:`2393`: New option `n` to limit history search hits * :ghpull:`2386`: Adapt inline backend to changes in matplotlib * :ghpull:`2392`: Remove suspicious double quote * :ghpull:`2387`: Added -L library search path to cythonmagic cell magic * :ghpull:`2370`: qtconsole: Create a prompt newline by inserting a new block (w/o formatting) * :ghpull:`1715`: Fix for #1688, traceback-unicode issue * :ghpull:`2378`: use Singleton.instance() for embed() instead of manual global * :ghpull:`2373`: fix missing imports in core.interactiveshell * :ghpull:`2368`: remove notification widget leftover * :ghpull:`2327`: Parallel: Support get/set of nested objects in view (e.g. dv['a.b']) * :ghpull:`2362`: Clean up ProgressBar class in example notebook * :ghpull:`2346`: Extra xterm identification in set_term_title * :ghpull:`2352`: Notebook: Store the username in a cookie whose name is unique. * :ghpull:`2358`: add backport_pr to tools * :ghpull:`2365`: fix names of notebooks for download/save * :ghpull:`2364`: make clients use 'location' properly (fixes #2361) * :ghpull:`2354`: Refactor notebook templates to use Jinja2 * :ghpull:`2339`: add bash completion example * :ghpull:`2345`: Remove references to 'version' no longer in argparse. Github issue #2343. * :ghpull:`2347`: adjust division error message checking to account for Python 3 * :ghpull:`2305`: RemoteError._render_traceback_ calls self.render_traceback * :ghpull:`2338`: Normalize line endings for ipexec_validate, fix for #2315. * :ghpull:`2192`: Introduce Notification Area * :ghpull:`2329`: Better error messages for common magic commands. * :ghpull:`2337`: ENH: added StackExchange-style MathJax filtering * :ghpull:`2331`: update css for qtconsole in doc * :ghpull:`2317`: adding cluster_id to parallel.Client.__init__ * :ghpull:`2130`: Add -l option to %R magic to allow passing in of local namespace * :ghpull:`2196`: Fix for bad command line argument to latex * :ghpull:`2300`: bug fix: was crashing when sqlite3 is not installed * :ghpull:`2184`: Expose store_history to execute_request messages. * :ghpull:`2308`: Add welcome_message option to enable_pylab * :ghpull:`2302`: Fix variable expansion on 'self' * :ghpull:`2299`: Remove code from prefilter that duplicates functionality in inputsplitter * :ghpull:`2295`: allow pip install from github repository directly * :ghpull:`2280`: fix SSH passwordless check for OpenSSH * :ghpull:`2290`: nbmanager * :ghpull:`2288`: s/assertEquals/assertEqual (again) * :ghpull:`2287`: Removed outdated dev docs. * :ghpull:`2218`: Use redirect for new notebooks * :ghpull:`2277`: nb: up/down arrow keys move to begin/end of line at top/bottom of cell * :ghpull:`2045`: Refactoring notebook managers and adding Azure backed storage. * :ghpull:`2271`: use display instead of send_figure in inline backend hooks * :ghpull:`2278`: allow disabling SQLite history * :ghpull:`2225`: Add "--annotate" option to `%%cython` magic. * :ghpull:`2246`: serialize individual args/kwargs rather than the containers * :ghpull:`2274`: CLN: Use name to id mapping of notebooks instead of searching. * :ghpull:`2270`: SSHLauncher tweaks * :ghpull:`2269`: add missing location when disambiguating controller IP * :ghpull:`2263`: Allow docs to build on http://readthedocs.org/ * :ghpull:`2256`: Adding data publication example notebook. * :ghpull:`2255`: better flush iopub with AsyncResults * :ghpull:`2261`: Fix: longest_substr([]) -> '' * :ghpull:`2260`: fix mpr again * :ghpull:`2242`: Document globbing in `%history -g `. * :ghpull:`2250`: fix html in notebook example * :ghpull:`2245`: Fix regression in embed() from pull-request #2096. * :ghpull:`2248`: track sha of master in test_pr messages * :ghpull:`2238`: Fast tests * :ghpull:`2211`: add data publication message * :ghpull:`2236`: minor test_pr tweaks * :ghpull:`2231`: Improve Image format validation and add html width,height * :ghpull:`2232`: Reapply monkeypatch to inspect.findsource() * :ghpull:`2235`: remove spurious print statement from setupbase.py * :ghpull:`2222`: adjust how canning deals with import strings * :ghpull:`2224`: fix css typo * :ghpull:`2223`: Custom tracebacks * :ghpull:`2214`: use KernelApp.exec_lines/files in IPEngineApp * :ghpull:`2199`: Wrap JS published by %%javascript in try/catch * :ghpull:`2212`: catch errors in markdown javascript * :ghpull:`2190`: Update code mirror 2.22 to 2.32 * :ghpull:`2200`: documentation build broken in bb429da5b * :ghpull:`2194`: clean nan/inf in json_clean * :ghpull:`2198`: fix mpr for earlier git version * :ghpull:`2175`: add FileFindHandler for Notebook static files * :ghpull:`1990`: can func_defaults * :ghpull:`2069`: start improving serialization in parallel code * :ghpull:`2202`: Create a unique & temporary IPYTHONDIR for each testing group. * :ghpull:`2204`: Work around lack of os.kill in win32. * :ghpull:`2148`: win32 iptest: Use subprocess.Popen() instead of os.system(). * :ghpull:`2179`: Pylab switch * :ghpull:`2124`: Add an API for registering magic aliases. * :ghpull:`2169`: ipdb: pdef, pdoc, pinfo magics all broken * :ghpull:`2174`: Ensure consistent indentation in `%magic`. * :ghpull:`1930`: add size-limiting to the DictDB backend * :ghpull:`2189`: Fix IPython.lib.latextools for Python 3 * :ghpull:`2186`: removed references to h5py dependence in octave magic documentation * :ghpull:`2183`: Include the kernel object in the event object passed to kernel events * :ghpull:`2185`: added test for %store, fixed storemagic * :ghpull:`2138`: Use breqn.sty in dvipng backend if possible * :ghpull:`2182`: handle undefined param in notebooklist * :ghpull:`1831`: fix #1814 set __file__ when running .ipy files * :ghpull:`2051`: Add a metadata attribute to messages * :ghpull:`1471`: simplify IPython.parallel connections and enable Controller Resume * :ghpull:`2181`: add %%javascript, %%svg, and %%latex display magics * :ghpull:`2116`: different images in 00_notebook-tour * :ghpull:`2092`: %prun: Restore `stats.stream` after running `print_stream`. * :ghpull:`2159`: show message on notebook list if server is unreachable * :ghpull:`2176`: fix git mpr * :ghpull:`2152`: [qtconsole] Namespace not empty at startup * :ghpull:`2177`: remove numpy install from travis/tox scripts * :ghpull:`2090`: New keybinding for code cell execution + cell insertion * :ghpull:`2160`: Updating the parallel options pricing example * :ghpull:`2168`: expand line in cell magics * :ghpull:`2170`: Fix tab completion with IPython.embed_kernel(). * :ghpull:`2096`: embed(): Default to the future compiler flags of the calling frame. * :ghpull:`2163`: fix 'remote_profie_dir' typo in SSH launchers * :ghpull:`2158`: [2to3 compat ] Tuple params in func defs * :ghpull:`2089`: Fix unittest DeprecationWarnings * :ghpull:`2142`: Refactor test_pr.py * :ghpull:`2140`: 2to3: Apply `has_key` fixer. * :ghpull:`2131`: Add option append (-a) to %save * :ghpull:`2117`: use explicit url in notebook example * :ghpull:`2133`: Tell git that ``*.py`` files contain Python code, for use in word-diffs. * :ghpull:`2134`: Apply 2to3 `next` fix. * :ghpull:`2126`: ipcluster broken with any batch launcher (PBS/LSF/SGE) * :ghpull:`2104`: Windows make file for Sphinx documentation * :ghpull:`2074`: Make BG color of inline plot configurable * :ghpull:`2123`: BUG: Look up the `_repr_pretty_` method on the class within the MRO rath... * :ghpull:`2100`: [in progress] python 2 and 3 compatibility without 2to3, second try * :ghpull:`2128`: open notebook copy in different tabs * :ghpull:`2073`: allows password and prefix for notebook * :ghpull:`1993`: Print View * :ghpull:`2086`: re-aliad %ed to %edit in qtconsole * :ghpull:`2110`: Fixes and improvements to the input splitter * :ghpull:`2101`: fix completer deletting newline * :ghpull:`2102`: Fix logging on interactive shell. * :ghpull:`2088`: Fix (some) Python 3.2 ResourceWarnings * :ghpull:`2064`: conform to pep 3110 * :ghpull:`2076`: Skip notebook 'static' dir in test suite. * :ghpull:`2063`: Remove umlauts so py3 installations on LANG=C systems succeed. * :ghpull:`2068`: record sysinfo in sdist * :ghpull:`2067`: update tools/release_windows.py * :ghpull:`2065`: Fix parentheses typo * :ghpull:`2062`: Remove duplicates and auto-generated files from repo. * :ghpull:`2061`: use explicit tuple in exception * :ghpull:`2060`: change minus to \- or \(hy in manpages Issues (691): * :ghissue:`3940`: Install process documentation overhaul * :ghissue:`3946`: The PDF option for `--post` should work with lowercase * :ghissue:`3957`: Notebook help page broken in Firefox * :ghissue:`3894`: nbconvert test failure * :ghissue:`3887`: 1.0.0a1 shows blank screen in both firefox and chrome (windows 7) * :ghissue:`3703`: `nbconvert`: Output options -- names and documentataion * :ghissue:`3931`: Tab completion not working during debugging in the notebook * :ghissue:`3936`: Ipcluster plugin is not working with Ipython 1.0dev * :ghissue:`3941`: IPython Notebook kernel crash on Win7x64 * :ghissue:`3926`: Ending Notebook renaming dialog with return creates new-line * :ghissue:`3932`: Incorrect empty docstring * :ghissue:`3928`: Passing variables to script from the workspace * :ghissue:`3774`: Notebooks with spaces in their names breaks nbconvert latex graphics * :ghissue:`3916`: tornado needs its own check * :ghissue:`3915`: Link to Parallel examples "found on GitHub" broken in docs * :ghissue:`3895`: Keyboard shortcuts box in notebook doesn't fit the screen * :ghissue:`3912`: IPython.utils fails automated test for RC1 1.0.0 * :ghissue:`3636`: Code cell missing highlight on load * :ghissue:`3897`: under Windows, "ipython3 nbconvert "C:/blabla/first_try.ipynb" --to latex --post PDF" POST processing action fails because of a bad parameter * :ghissue:`3900`: python3 install syntax errors (OS X 10.8.4) * :ghissue:`3899`: nbconvert to latex fails on notebooks with spaces in file name * :ghissue:`3881`: Temporary Working Directory Test Fails * :ghissue:`2750`: A way to freeze code cells in the notebook * :ghissue:`3893`: Resize Local Image Files in Notebook doesn't work * :ghissue:`3823`: nbconvert on windows: tex and paths * :ghissue:`3885`: under Windows, "ipython3 nbconvert "C:/blabla/first_try.ipynb" --to latex" write "\" instead of "/" to reference file path in the .tex file * :ghissue:`3889`: test_qt fails due to assertion error 'qt4' != 'qt' * :ghissue:`3890`: double post, disregard this issue * :ghissue:`3689`: nbconvert, remaining tests * :ghissue:`3874`: Up/Down keys don't work to "Search previous command history" (besides Ctrl-p/Ctrl-n) * :ghissue:`3853`: CodeMirror locks up in the notebook * :ghissue:`3862`: can only connect to an ipcluster started with v1.0.0-dev (master branch) using an older ipython (v0.13.2), but cannot connect using ipython (v1.0.0-dev) * :ghissue:`3869`: custom css not working. * :ghissue:`2960`: Keyboard shortcuts * :ghissue:`3795`: ipcontroller process goes to 100% CPU, ignores connection requests * :ghissue:`3553`: Ipython and pylab crashes in windows and canopy * :ghissue:`3837`: Cannot set custom mathjax url, crash notebook server. * :ghissue:`3808`: "Naming" releases ? * :ghissue:`2431`: TypeError: must be string without null bytes, not str * :ghissue:`3856`: `?` at end of comment causes line to execute * :ghissue:`3731`: nbconvert: add logging for the different steps of nbconvert * :ghissue:`3835`: Markdown cells do not render correctly when mathjax is disabled * :ghissue:`3843`: nbconvert to rst: leftover "In[ ]" * :ghissue:`3799`: nbconvert: Ability to specify name of output file * :ghissue:`3726`: Document when IPython.start_ipython() should be used versus IPython.embed() * :ghissue:`3778`: Add no more readonly view in what's new * :ghissue:`3754`: No Print View in Notebook in 1.0dev * :ghissue:`3798`: IPython 0.12.1 Crashes on autocompleting sqlalchemy.func.row_number properties * :ghissue:`3811`: Opening notebook directly from the command line with multi-directory support installed * :ghissue:`3775`: Annoying behavior when clicking on cell after execution (Ctrl+Enter) * :ghissue:`3809`: Possible to add some bpython features? * :ghissue:`3810`: Printing the contents of an image file messes up shell text * :ghissue:`3702`: `nbconvert`: Default help message should be that of --help * :ghissue:`3735`: Nbconvert 1.0.0a1 does not take into account the pdf extensions in graphs * :ghissue:`3719`: Bad strftime format, for windows, in nbconvert exporter * :ghissue:`3786`: Zmq errors appearing with `Ctrl-C` in console/qtconsole * :ghissue:`3019`: disappearing scrollbar on tooltip in Chrome 24 on Ubuntu 12.04 * :ghissue:`3785`: ipdb completely broken in Qt console * :ghissue:`3796`: Document the meaning of milestone/issues-tags for users. * :ghissue:`3788`: Do not auto show tooltip if docstring empty. * :ghissue:`1366`: [Web page] No link to front page from documentation * :ghissue:`3739`: nbconvert (to slideshow) misses some of the math in markdown cells * :ghissue:`3768`: increase and make timeout configurable in console completion. * :ghissue:`3724`: ipcluster only running on one cpu * :ghissue:`1592`: better message for unsupported nbformat * :ghissue:`2049`: Can not stop "ipython kernel" on windows * :ghissue:`3757`: Need direct entry point to given notebook * :ghissue:`3745`: ImportError: cannot import name check_linecache_ipython * :ghissue:`3701`: `nbconvert`: Final output file should be in same directory as input file * :ghissue:`3738`: history -o works but history with -n produces identical results * :ghissue:`3740`: error when attempting to run 'make' in docs directory * :ghissue:`3737`: ipython nbconvert crashes with ValueError: Invalid format string. * :ghissue:`3730`: nbconvert: unhelpful error when pandoc isn't installed * :ghissue:`3718`: markdown cell cursor misaligned in notebook * :ghissue:`3710`: mutiple input fields for %debug in the notebook after resetting the kernel * :ghissue:`3713`: PyCharm has problems with IPython working inside PyPy created by virtualenv * :ghissue:`3712`: Code completion: Complete on dictionary keys * :ghissue:`3680`: --pylab and --matplotlib flag * :ghissue:`3698`: nbconvert: Unicode error with minus sign * :ghissue:`3693`: nbconvert does not process SVGs into PDFs * :ghissue:`3688`: nbconvert, figures not extracting with Python 3.x * :ghissue:`3542`: note new dependencies in docs / setup.py * :ghissue:`2556`: [pagedown] do not target_blank anchor link * :ghissue:`3684`: bad message when %pylab fails due import *other* than matplotlib * :ghissue:`3682`: ipython notebook pylab inline import_all=False * :ghissue:`3596`: MathjaxUtils race condition? * :ghissue:`1540`: Comment/uncomment selection in notebook * :ghissue:`2702`: frozen setup: permission denied for default ipython_dir * :ghissue:`3672`: allow_none on Number-like traits. * :ghissue:`2411`: add CONTRIBUTING.md * :ghissue:`481`: IPython terminal issue with Qt4Agg on XP SP3 * :ghissue:`2664`: How to preserve user variables from import clashing? * :ghissue:`3436`: enable_pylab(import_all=False) still imports np * :ghissue:`2630`: lib.pylabtools.figsize : NameError when using Qt4Agg backend and %pylab magic. * :ghissue:`3154`: Notebook: no event triggered when a Cell is created * :ghissue:`3579`: Nbconvert: SVG are not transformed to PDF anymore * :ghissue:`3604`: MathJax rendering problem in `%%latex` cell * :ghissue:`3668`: AttributeError: 'BlockingKernelClient' object has no attribute 'started_channels' * :ghissue:`3245`: SyntaxError: encoding declaration in Unicode string * :ghissue:`3639`: %pylab inline in IPYTHON notebook throws "RuntimeError: Cannot activate multiple GUI eventloops" * :ghissue:`3663`: frontend deprecation warnings * :ghissue:`3661`: run -m not behaving like python -m * :ghissue:`3597`: re-do PR #3531 - allow markdown in Header cell * :ghissue:`3053`: Markdown in header cells is not rendered * :ghissue:`3655`: IPython finding its way into pasted strings. * :ghissue:`3620`: uncaught errors in HTML output * :ghissue:`3646`: get_dict() error * :ghissue:`3004`: `%load_ext rmagic` fails when legacy ipy_user_conf.py is installed (in ipython 0.13.1 / OSX 10.8) * :ghissue:`3638`: setp() issue in ipython notebook with figure references * :ghissue:`3634`: nbconvert reveal to pdf conversion ignores styling, prints only a single page. * :ghissue:`1307`: Remove pyreadline workarounds, we now require pyreadline >= 1.7.1 * :ghissue:`3316`: find_cmd test failure on Windows * :ghissue:`3494`: input() in notebook doesn't work in Python 3 * :ghissue:`3427`: Deprecate `$` as mathjax delimiter * :ghissue:`3625`: Pager does not open from button * :ghissue:`3149`: Miscellaneous small nbconvert feedback * :ghissue:`3617`: 256 color escapes support * :ghissue:`3609`: %pylab inline blows up for single process ipython * :ghissue:`2934`: Publish the Interactive MPI Demo Notebook * :ghissue:`3614`: ansi escapes broken in master (ls --color) * :ghissue:`3610`: If you don't have markdown, python setup.py install says no pygments * :ghissue:`3547`: %run modules clobber each other * :ghissue:`3602`: import_item fails when one tries to use DottedObjectName instead of a string * :ghissue:`3563`: Duplicate tab completions in the notebook * :ghissue:`3599`: Problems trying to run IPython on python3 without installing... * :ghissue:`2937`: too long completion in notebook * :ghissue:`3479`: Write empty name for the notebooks * :ghissue:`3505`: nbconvert: Failure in specifying user filter * :ghissue:`1537`: think a bit about namespaces * :ghissue:`3124`: Long multiline strings in Notebook * :ghissue:`3464`: run -d message unclear * :ghissue:`2706`: IPython 0.13.1 ignoring $PYTHONSTARTUP * :ghissue:`3587`: LaTeX escaping bug in nbconvert when exporting to HTML * :ghissue:`3213`: Long running notebook died with a coredump * :ghissue:`3580`: Running ipython with pypy on windows * :ghissue:`3573`: custom.js not working * :ghissue:`3544`: IPython.lib test failure on Windows * :ghissue:`3352`: Install Sphinx extensions * :ghissue:`2971`: [notebook]user needs to press ctrl-c twice to stop notebook server should be put into terminal window * :ghissue:`2413`: ipython3 qtconsole fails to install: ipython 0.13 has no such extra feature 'qtconsole' * :ghissue:`2618`: documentation is incorrect for install process * :ghissue:`2595`: mac 10.8 qtconsole export history * :ghissue:`2586`: cannot store aliases * :ghissue:`2714`: ipython qtconsole print unittest messages in console instead his own window. * :ghissue:`2669`: cython magic failing to work with openmp. * :ghissue:`3256`: Vagrant pandas instance of iPython Notebook does not respect additional plotting arguments * :ghissue:`3010`: cython magic fail if cache dir is deleted while in session * :ghissue:`2044`: prune unused names from parallel.error * :ghissue:`1145`: Online help utility broken in QtConsole * :ghissue:`3439`: Markdown links no longer open in new window (with change from pagedown to marked) * :ghissue:`3476`: _margv for macros seems to be missing * :ghissue:`3499`: Add reveal.js library (version 2.4.0) inside IPython * :ghissue:`2771`: Wiki Migration to GitHub * :ghissue:`2887`: ipcontroller purging some engines during connect * :ghissue:`626`: Enable Resuming Controller * :ghissue:`2824`: Kernel restarting after message "Kernel XXXX failed to respond to heartbeat" * :ghissue:`2823`: %%cython magic gives ImportError: dlopen(long_file_name.so, 2): image not found * :ghissue:`2891`: In IPython for Python 3, system site-packages comes before user site-packages * :ghissue:`2928`: Add magic "watch" function (example) * :ghissue:`2931`: Problem rendering pandas dataframe in Firefox for Windows * :ghissue:`2939`: [notebook] Figure legend not shown in inline backend if ouside the box of the axes * :ghissue:`2972`: [notebook] in Markdown mode, press Enter key at the end of , the next line is indented unexpectly * :ghissue:`3069`: Instructions for installing IPython notebook on Windows * :ghissue:`3444`: Encoding problem: cannot use if user's name is not ascii? * :ghissue:`3335`: Reenable bracket matching * :ghissue:`3386`: Magic %paste not working in Python 3.3.2. TypeError: Type str doesn't support the buffer API * :ghissue:`3543`: Exception shutting down kernel from notebook dashboard (0.13.1) * :ghissue:`3549`: Codecell size changes with selection * :ghissue:`3445`: Adding newlines in %%latex cell * :ghissue:`3237`: [notebook] Can't close a notebook without errors * :ghissue:`2916`: colon invokes auto(un)indent in markdown cells * :ghissue:`2167`: Indent and dedent in htmlnotebook * :ghissue:`3545`: Notebook save button icon not clear * :ghissue:`3534`: nbconvert incompatible with Windows? * :ghissue:`3489`: Update example notebook that raw_input is allowed * :ghissue:`3396`: Notebook checkpoint time is displayed an hour out * :ghissue:`3261`: Empty revert to checkpoint menu if no checkpoint... * :ghissue:`2984`: "print" magic does not work in Python 3 * :ghissue:`3524`: Issues with pyzmq and ipython on EPD update * :ghissue:`2434`: %store magic not auto-restoring * :ghissue:`2720`: base_url and static path * :ghissue:`2234`: Update various low resolution graphics for retina displays * :ghissue:`2842`: Remember passwords for pw-protected notebooks * :ghissue:`3244`: qtconsole: ValueError('close_fds is not supported on Windows platforms if you redirect stdin/stdout/stderr',) * :ghissue:`2215`: AsyncResult.wait(0) can hang waiting for the client to get results? * :ghissue:`2268`: provide mean to retrieve static data path * :ghissue:`1905`: Expose UI for worksheets within each notebook * :ghissue:`2380`: Qt inputhook prevents modal dialog boxes from displaying * :ghissue:`3185`: prettify on double // * :ghissue:`2821`: Test failure: IPython.parallel.tests.test_client.test_resubmit_header * :ghissue:`2475`: [Notebook] Line is deindented when typing eg a colon in markdown mode * :ghissue:`2470`: Do not destroy valid notebooks * :ghissue:`860`: Allow the standalone export of a notebook to HTML * :ghissue:`2652`: notebook with qt backend crashes at save image location popup * :ghissue:`1587`: Improve kernel restarting in the notebook * :ghissue:`2710`: Saving a plot in Mac OS X backend crashes IPython * :ghissue:`2596`: notebook "Last saved:" is misleading on file opening. * :ghissue:`2671`: TypeError :NoneType when executed "ipython qtconsole" in windows console * :ghissue:`2703`: Notebook scrolling breaks after pager is shown * :ghissue:`2803`: KernelManager and KernelClient should be two separate objects * :ghissue:`2693`: TerminalIPythonApp configuration fails without ipython_config.py * :ghissue:`2531`: IPython 0.13.1 python 2 32-bit installer includes 64-bit ipython*.exe launchers in the scripts folder * :ghissue:`2520`: Control-C kills port forwarding * :ghissue:`2279`: Setting `__file__` to None breaks Mayavi import * :ghissue:`2161`: When logged into notebook, long titles are incorrectly positioned * :ghissue:`1292`: Notebook, Print view should not be editable... * :ghissue:`1731`: test parallel launchers * :ghissue:`3227`: Improve documentation of ipcontroller and possible BUG * :ghissue:`2896`: IPController very unstable * :ghissue:`3517`: documentation build broken in head * :ghissue:`3522`: UnicodeDecodeError: 'ascii' codec can't decode byte on Pycharm on Windows * :ghissue:`3448`: Please include MathJax fonts with IPython Notebook * :ghissue:`3519`: IPython Parallel map mysteriously turns pandas Series into numpy ndarray * :ghissue:`3345`: IPython embedded shells ask if I want to exit, but I set confirm_exit = False * :ghissue:`3509`: IPython won't close without asking "Are you sure?" in Firefox * :ghissue:`3471`: Notebook jinja2/markupsafe depedencies in manual * :ghissue:`3502`: Notebook broken in master * :ghissue:`3302`: autoreload does not work in ipython 0.13.x, python 3.3 * :ghissue:`3475`: no warning when leaving/closing notebook on master without saved changes * :ghissue:`3490`: No obvious feedback when kernel crashes * :ghissue:`1912`: Move all autoreload tests to their own group * :ghissue:`2577`: sh.py and ipython for python 3.3 * :ghissue:`3467`: %magic doesn't work * :ghissue:`3501`: Editing markdown cells that wrap has off-by-one errors in cursor positioning * :ghissue:`3492`: IPython for Python3 * :ghissue:`3474`: unexpected keyword argument to remove_kernel * :ghissue:`2283`: TypeError when using '?' after a string in a %logstart session * :ghissue:`2787`: rmagic and pandas DataFrame * :ghissue:`2605`: Ellipsis literal triggers AttributeError * :ghissue:`1179`: Test unicode source in pinfo * :ghissue:`2055`: drop Python 3.1 support * :ghissue:`2293`: IPEP 2: Input transformations * :ghissue:`2790`: %paste and %cpaste not removing "..." lines * :ghissue:`3480`: Testing fails because iptest.py cannot be found * :ghissue:`2580`: will not run within PIL build directory * :ghissue:`2797`: RMagic, Dataframe Conversion Problem * :ghissue:`2838`: Empty lines disappear from triple-quoted literals. * :ghissue:`3050`: Broken link on IPython.core.display page * :ghissue:`3473`: Config not passed down to subcommands * :ghissue:`3462`: Setting log_format in config file results in error (and no format changes) * :ghissue:`3311`: Notebook (occasionally) not working on windows (Sophos AV) * :ghissue:`3461`: Cursor positioning off by a character in auto-wrapped lines * :ghissue:`3454`: _repr_html_ error * :ghissue:`3457`: Space in long Paragraph Markdown cell with Chinese or Japanese * :ghissue:`3447`: Run Cell Does not Work * :ghissue:`1373`: Last lines in long cells are hidden * :ghissue:`1504`: Revisit serialization in IPython.parallel * :ghissue:`1459`: Can't connect to 2 HTTPS notebook servers on the same host * :ghissue:`678`: Input prompt stripping broken with multiline data structures * :ghissue:`3001`: IPython.notebook.dirty flag is not set when a cell has unsaved changes * :ghissue:`3077`: Multiprocessing semantics in parallel.view.map * :ghissue:`3056`: links across notebooks * :ghissue:`3120`: Tornado 3.0 * :ghissue:`3156`: update pretty to use Python 3 style for sets * :ghissue:`3197`: Can't escape multiple dollar signs in a markdown cell * :ghissue:`3309`: `Image()` signature/doc improvements * :ghissue:`3415`: Bug in IPython/external/path/__init__.py * :ghissue:`3446`: Feature suggestion: Download matplotlib figure to client browser * :ghissue:`3295`: autoexported notebooks: only export explicitly marked cells * :ghissue:`3442`: Notebook: Summary table extracted from markdown headers * :ghissue:`3438`: Zooming notebook in chrome is broken in master * :ghissue:`1378`: Implement autosave in notebook * :ghissue:`3437`: Highlighting matching parentheses * :ghissue:`3435`: module search segfault * :ghissue:`3424`: ipcluster --version * :ghissue:`3434`: 0.13.2 Ipython/genutils.py doesn't exist * :ghissue:`3426`: Feature request: Save by cell and not by line #: IPython %save magic * :ghissue:`3412`: Non Responsive Kernel: Running a Django development server from an IPython Notebook * :ghissue:`3408`: Save cell toolbar and slide type metadata in notebooks * :ghissue:`3246`: %paste regression with blank lines * :ghissue:`3404`: Weird error with $variable and grep in command line magic (!command) * :ghissue:`3405`: Key auto-completion in dictionaries? * :ghissue:`3259`: Codemirror linenumber css broken * :ghissue:`3397`: Vertical text misalignment in Markdown cells * :ghissue:`3391`: Revert #3358 once fix integrated into CM * :ghissue:`3360`: Error 500 while saving IPython notebook * :ghissue:`3375`: Frequent Safari/Webkit crashes * :ghissue:`3365`: zmq frontend * :ghissue:`2654`: User_expression issues * :ghissue:`3389`: Store history as plain text * :ghissue:`3388`: Ipython parallel: open TCP connection created for each result returned from engine * :ghissue:`3385`: setup.py failure on Python 3 * :ghissue:`3376`: Setting `__module__` to None breaks pretty printing * :ghissue:`3374`: ipython qtconsole does not display the prompt on OSX * :ghissue:`3380`: simple call to kernel * :ghissue:`3379`: TaskRecord key 'started' not set * :ghissue:`3241`: notebook conection time out * :ghissue:`3334`: magic interpreter interpretes non magic commands? * :ghissue:`3326`: python3.3: Type error when launching SGE cluster in IPython notebook * :ghissue:`3349`: pip3 doesn't run 2to3? * :ghissue:`3347`: Longlist support in ipdb * :ghissue:`3343`: Make pip install / easy_install faster * :ghissue:`3337`: git submodules broke nightly PPA builds * :ghissue:`3206`: Copy/Paste Regression in QtConsole * :ghissue:`3329`: Buggy linewrap in Mac OSX Terminal (Mountain Lion) * :ghissue:`3327`: Qt version check broken * :ghissue:`3303`: parallel tasks never finish under heavy load * :ghissue:`1381`: '\\' for equation continuations require an extra '\' in markdown cells * :ghissue:`3314`: Error launching iPython * :ghissue:`3306`: Test failure when running on a Vagrant VM * :ghissue:`3280`: IPython.utils.process.getoutput returns stderr * :ghissue:`3299`: variables named _ or __ exhibit incorrect behavior * :ghissue:`3196`: add an "x" or similar to htmlnotebook pager * :ghissue:`3293`: Several 404 errors for js files Firefox * :ghissue:`3292`: syntax highlighting in chrome on OSX 10.8.3 * :ghissue:`3288`: Latest dev version hangs on page load * :ghissue:`3283`: ipython dev retains directory information after directory change * :ghissue:`3279`: custom.css is not overridden in the dev IPython (1.0) * :ghissue:`2727`: %run -m doesn't support relative imports * :ghissue:`3268`: GFM triple backquote and unknown language * :ghissue:`3273`: Suppressing all plot related outputs * :ghissue:`3272`: Backspace while completing load previous page * :ghissue:`3260`: Js error in savewidget * :ghissue:`3247`: scrollbar in notebook when not needed? * :ghissue:`3243`: notebook: option to view json source from browser * :ghissue:`3265`: 404 errors when running IPython 1.0dev * :ghissue:`3257`: setup.py not finding submodules * :ghissue:`3253`: Incorrect Qt and PySide version comparison * :ghissue:`3248`: Cell magics broken in Qt console * :ghissue:`3012`: Problems with the less based style.min.css * :ghissue:`2390`: Image width/height don't work in embedded images * :ghissue:`3236`: cannot set TerminalIPythonApp.log_format * :ghissue:`3214`: notebook kernel dies if started with invalid parameter * :ghissue:`2980`: Remove HTMLCell ? * :ghissue:`3128`: qtconsole hangs on importing pylab (using X forwarding) * :ghissue:`3198`: Hitting recursive depth causing all notebook pages to hang * :ghissue:`3218`: race conditions in profile directory creation * :ghissue:`3177`: OverflowError execption in handlers.py * :ghissue:`2563`: core.profiledir.check_startup_dir() doesn't work inside py2exe'd installation * :ghissue:`3207`: [Feature] folders for ipython notebook dashboard * :ghissue:`3178`: cell magics do not work with empty lines after #2447 * :ghissue:`3204`: Default plot() colors unsuitable for red-green colorblind users * :ghissue:`1789`: ``:\n/*foo`` turns into ``:\n*(foo)`` in triple-quoted strings. * :ghissue:`3202`: File cell magic fails with blank lines * :ghissue:`3199`: %%cython -a stopped working? * :ghissue:`2688`: obsolete imports in import autocompletion * :ghissue:`3192`: Python2, Unhandled exception, __builtin__.True = False * :ghissue:`3179`: script magic error message loop * :ghissue:`3009`: use XDG_CACHE_HOME for cython objects * :ghissue:`3059`: Bugs in 00_notebook_tour example. * :ghissue:`3104`: Integrate a javascript file manager into the notebook front end * :ghissue:`3176`: Particular equation not rendering (notebook) * :ghissue:`1133`: [notebook] readonly and upload files/UI * :ghissue:`2975`: [notebook] python file and cell toolbar * :ghissue:`3017`: SciPy.weave broken in IPython notebook/ qtconsole * :ghissue:`3161`: paste macro not reading spaces correctly * :ghissue:`2835`: %paste not working on WinXpSP3/ipython-0.13.1.py2-win32-PROPER.exe/python27 * :ghissue:`2628`: Make transformers work for lines following decorators * :ghissue:`2612`: Multiline String containing ":\n?foo\n" confuses interpreter to replace ?foo with get_ipython().magic(u'pinfo foo') * :ghissue:`2539`: Request: Enable cell magics inside of .ipy scripts * :ghissue:`2507`: Multiline string does not work (includes `...`) with doctest type input in IPython notebook * :ghissue:`2164`: Request: Line breaks in line magic command * :ghissue:`3106`: poor parallel performance with many jobs * :ghissue:`2438`: print inside multiprocessing crashes Ipython kernel * :ghissue:`3155`: Bad md5 hash for package 0.13.2 * :ghissue:`3045`: [Notebook] Ipython Kernel does not start if disconnected from internet(/network?) * :ghissue:`3146`: Using celery in python 3.3 * :ghissue:`3145`: The notebook viewer is down * :ghissue:`2385`: grep --color not working well with notebook * :ghissue:`3131`: Quickly install from source in a clean virtualenv? * :ghissue:`3139`: Rolling log for ipython * :ghissue:`3127`: notebook with pylab=inline appears to call figure.draw twice * :ghissue:`3129`: Walking up and down the call stack * :ghissue:`3123`: Notebook crashed if unplugged ethernet cable * :ghissue:`3121`: NB should use normalize.css? was #3049 * :ghissue:`3087`: Disable spellchecking in notebook * :ghissue:`3084`: ipython pyqt 4.10 incompatibilty, QTextBlockUserData * :ghissue:`3113`: Fails to install under Jython 2.7 beta * :ghissue:`3110`: Render of h4 headers is not correct in notebook (error in renderedhtml.css) * :ghissue:`3109`: BUG: read_csv: dtype={'id' : np.str}: Datatype not understood * :ghissue:`3107`: Autocompletion of object attributes in arrays * :ghissue:`3103`: Reset locale setting in qtconsole * :ghissue:`3090`: python3.3 Entry Point not found * :ghissue:`3081`: UnicodeDecodeError when using Image(data="some.jpeg") * :ghissue:`2834`: url regexp only finds one link * :ghissue:`3091`: qtconsole breaks doctest.testmod() in Python 3.3 * :ghissue:`3074`: SIGUSR1 not available on Windows * :ghissue:`2996`: registration::purging stalled registration high occurrence in small clusters * :ghissue:`3065`: diff-ability of notebooks * :ghissue:`3067`: Crash with pygit2 * :ghissue:`3061`: Bug handling Ellipsis * :ghissue:`3049`: NB css inconsistent behavior between ff and webkit * :ghissue:`3039`: unicode errors when opening a new notebook * :ghissue:`3048`: Installning ipython qtConsole should be easyer att Windows * :ghissue:`3042`: Profile creation fails on 0.13.2 branch * :ghissue:`3035`: docstring typo/inconsistency: mention of an xml notebook format? * :ghissue:`3031`: HDF5 library segfault (possibly due to mismatching headers?) * :ghissue:`2991`: In notebook importing sympy closes ipython kernel * :ghissue:`3027`: f.__globals__ causes an error in Python 3.3 * :ghissue:`3020`: Failing test test_interactiveshell.TestAstTransform on Windows * :ghissue:`3023`: alt text for "click to expand output" has typo in alt text * :ghissue:`2963`: %history to print all input history of a previous session when line range is omitted * :ghissue:`3018`: IPython installed within virtualenv. WARNING "Please install IPython inside the virtualtenv" * :ghissue:`2484`: Completion in Emacs *Python* buffer causes prompt to be increased. * :ghissue:`3014`: Ctrl-C finishes notebook immediately * :ghissue:`3007`: cython_pyximport reload broken in python3 * :ghissue:`2955`: Incompatible Qt imports when running inprocess_qtconsole * :ghissue:`3006`: [IPython 0.13.1] The check of PyQt version is wrong * :ghissue:`3005`: Renaming a notebook to an existing notebook name overwrites the other file * :ghissue:`2940`: Abort trap in IPython Notebook after installing matplotlib * :ghissue:`3000`: issue #3000 * :ghissue:`2995`: ipython_directive.py fails on multiline when prompt number < 100 * :ghissue:`2993`: File magic (%%file) does not work with paths beginning with tilde (e.g., ~/anaconda/stuff.txt) * :ghissue:`2992`: Cell-based input for console and qt frontends? * :ghissue:`2425`: Liaise with Spyder devs to integrate newer IPython * :ghissue:`2986`: requesting help in a loop can damage a notebook * :ghissue:`2978`: v1.0-dev build errors on Arch with Python 3. * :ghissue:`2557`: [refactor] Insert_cell_at_index() * :ghissue:`2969`: ipython command does not work in terminal * :ghissue:`2762`: OSX wxPython (osx_cocoa, 64bit) command "%gui wx" blocks the interpreter * :ghissue:`2956`: Silent importing of submodules differs from standard Python3.2 interpreter's behavior * :ghissue:`2943`: Up arrow key history search gets stuck in QTConsole * :ghissue:`2953`: using 'nonlocal' declaration in global scope causes ipython3 crash * :ghissue:`2952`: qtconsole ignores exec_lines * :ghissue:`2949`: ipython crashes due to atexit() * :ghissue:`2947`: From rmagic to an R console * :ghissue:`2938`: docstring pane not showing in notebook * :ghissue:`2936`: Tornado assumes invalid signature for parse_qs on Python 3.1 * :ghissue:`2935`: unable to find python after easy_install / pip install * :ghissue:`2920`: Add undo-cell deletion menu * :ghissue:`2914`: BUG:saving a modified .py file after loading a module kills the kernel * :ghissue:`2925`: BUG: kernel dies if user sets sys.stderr or sys.stdout to a file object * :ghissue:`2909`: LaTeX sometimes fails to render in markdown cells with some curly bracket + underscore combinations * :ghissue:`2898`: Skip ipc tests on Windows * :ghissue:`2902`: ActiveState attempt to build ipython 0.12.1 for python 3.2.2 for Mac OS failed * :ghissue:`2899`: Test failure in IPython.core.tests.test_magic.test_time * :ghissue:`2890`: Test failure when fabric not installed * :ghissue:`2892`: IPython tab completion bug for paths * :ghissue:`1340`: Allow input cells to be collapsed * :ghissue:`2881`: ? command in notebook does not show help in Safari * :ghissue:`2751`: %%timeit should use minutes to format running time in long running cells * :ghissue:`2879`: When importing a module with a wrong name, ipython crashes * :ghissue:`2862`: %%timeit should warn of empty contents * :ghissue:`2485`: History navigation breaks in qtconsole * :ghissue:`2785`: gevent input hook * :ghissue:`2843`: Sliently running code in clipboard (with paste, cpaste and variants) * :ghissue:`2784`: %run -t -N error * :ghissue:`2732`: Test failure with FileLinks class on Windows * :ghissue:`2860`: ipython help notebook -> KeyError: 'KernelManager' * :ghissue:`2858`: Where is the installed `ipython` script? * :ghissue:`2856`: Edit code entered from ipython in external editor * :ghissue:`2722`: IPC transport option not taking effect ? * :ghissue:`2473`: Better error messages in ipengine/ipcontroller * :ghissue:`2836`: Cannot send builtin module definitions to IP engines * :ghissue:`2833`: Any reason not to use super() ? * :ghissue:`2781`: Cannot interrupt infinite loops in the notebook * :ghissue:`2150`: clippath_demo.py in matplotlib example does not work with inline backend * :ghissue:`2634`: Numbered list in notebook markdown cell renders with Roman numerals instead of numbers * :ghissue:`2230`: IPython crashing during startup with "AttributeError: 'NoneType' object has no attribute 'rstrip'" * :ghissue:`2483`: nbviewer bug? with multi-file gists * :ghissue:`2466`: mistyping `ed -p` breaks `ed -p` * :ghissue:`2477`: Glob expansion tests fail on Windows * :ghissue:`2622`: doc issue: notebooks that ship with Ipython .13 are written for python 2.x * :ghissue:`2626`: Add "Cell -> Run All Keep Going" for notebooks * :ghissue:`1223`: Show last modification date of each notebook * :ghissue:`2621`: user request: put link to example notebooks in Dashboard * :ghissue:`2564`: grid blanks plots in ipython pylab inline mode (interactive) * :ghissue:`2532`: Django shell (IPython) gives NameError on dict comprehensions * :ghissue:`2188`: ipython crashes on ctrl-c * :ghissue:`2391`: Request: nbformat API to load/save without changing version * :ghissue:`2355`: Restart kernel message even though kernel is perfectly alive * :ghissue:`2306`: Garbled input text after reverse search on Mac OS X * :ghissue:`2297`: ipdb with separate kernel/client pushing stdout to kernel process only * :ghissue:`2180`: Have [kernel busy] overridden only by [kernel idle] * :ghissue:`1188`: Pylab with OSX backend keyboard focus issue and hang * :ghissue:`2107`: test_octavemagic.py[everything] fails * :ghissue:`1212`: Better understand/document browser compatibility * :ghissue:`1585`: Refactor notebook templates to use Jinja2 and make each page a separate directory * :ghissue:`1443`: xticks scaling factor partially obscured with qtconsole and inline plotting * :ghissue:`1209`: can't make %result work as in doc. * :ghissue:`1200`: IPython 0.12 Windows install fails on Vista * :ghissue:`1127`: Interactive test scripts for Qt/nb issues * :ghissue:`959`: Matplotlib figures hide * :ghissue:`2071`: win32 installer issue on Windows XP * :ghissue:`2610`: ZMQInteractiveShell.colors being ignored * :ghissue:`2505`: Markdown Cell incorrectly highlighting after "<" * :ghissue:`165`: Installer fails to create Start Menu entries on Windows * :ghissue:`2356`: failing traceback in terminal ipython for first exception * :ghissue:`2145`: Have dashboad show when server disconect * :ghissue:`2098`: Do not crash on kernel shutdow if json file is missing * :ghissue:`2813`: Offline MathJax is broken on 0.14dev * :ghissue:`2807`: Test failure: IPython.parallel.tests.test_client.TestClient.test_purge_everything * :ghissue:`2486`: Readline's history search in ipython console does not clear properly after cancellation with Ctrl+C * :ghissue:`2709`: Cython -la doesn't work * :ghissue:`2767`: What is IPython.utils.upgradedir ? * :ghissue:`2210`: Placing matplotlib legend outside axis bounds causes inline display to clip it * :ghissue:`2553`: IPython Notebooks not robust against client failures * :ghissue:`2536`: ImageDraw in Ipython notebook not drawing lines * :ghissue:`2264`: Feature request: Versioning messaging protocol * :ghissue:`2589`: Creation of ~300+ MPI-spawned engines causes instability in ipcluster * :ghissue:`2672`: notebook: inline option without pylab * :ghissue:`2673`: Indefinite Articles & Traitlets * :ghissue:`2705`: Notebook crashes Safari with select and drag * :ghissue:`2721`: dreload kills ipython when it hits zmq * :ghissue:`2806`: ipython.parallel doesn't discover globals under Python 3.3 * :ghissue:`2794`: _exit_code behaves differently in terminal vs ZMQ frontends * :ghissue:`2793`: IPython.parallel issue with pushing pandas TimeSeries * :ghissue:`1085`: In process kernel for Qt frontend * :ghissue:`2760`: IndexError: list index out of range with Python 3.2 * :ghissue:`2780`: Save and load notebooks from github * :ghissue:`2772`: AttributeError: 'Client' object has no attribute 'kill' * :ghissue:`2754`: Fail to send class definitions from interactive session to engines namespaces * :ghissue:`2764`: TypeError while using 'cd' * :ghissue:`2765`: name '__file__' is not defined * :ghissue:`2540`: Wrap tooltip if line exceeds threshold? * :ghissue:`2394`: Startup error on ipython qtconsole (version 0.13 and 0.14-dev * :ghissue:`2440`: IPEP 4: Python 3 Compatibility * :ghissue:`1814`: __file__ is not defined when file end with .ipy * :ghissue:`2759`: R magic extension interferes with tab completion * :ghissue:`2615`: Small change needed to rmagic extension. * :ghissue:`2748`: collapse parts of a html notebook * :ghissue:`1661`: %paste still bugs about IndentationError and says to use %paste * :ghissue:`2742`: Octavemagic fails to deliver inline images in IPython (on Windows) * :ghissue:`2739`: wiki.ipython.org contaminated with prescription drug spam * :ghissue:`2588`: Link error while executing code from cython example notebook * :ghissue:`2550`: Rpush magic doesn't find local variables and doesn't support comma separated lists of variables * :ghissue:`2675`: Markdown/html blockquote need css. * :ghissue:`2419`: TerminalInteractiveShell.__init__() ignores value of ipython_dir argument * :ghissue:`1523`: Better LaTeX printing in the qtconsole with the sympy profile * :ghissue:`2719`: ipython fails with `pkg_resources.DistributionNotFound: ipython==0.13` * :ghissue:`2715`: url crashes nbviewer.ipython.org * :ghissue:`2555`: "import" module completion on MacOSX * :ghissue:`2707`: Problem installing the new version of IPython in Windows * :ghissue:`2696`: SymPy magic bug in IPython Notebook * :ghissue:`2684`: pretty print broken for types created with PyType_FromSpec * :ghissue:`2533`: rmagic breaks on Windows * :ghissue:`2661`: Qtconsole tooltip is too wide when the function has many arguments * :ghissue:`2679`: ipython3 qtconsole via Homebrew on Mac OS X 10.8 - pyqt/pyside import error * :ghissue:`2646`: pylab_not_importable * :ghissue:`2587`: cython magic pops 2 CLI windows upon execution on Windows * :ghissue:`2660`: Certain arguments (-h, --help, --version) never passed to scripts run with ipython * :ghissue:`2665`: Missing docs for rmagic and some other extensions * :ghissue:`2611`: Travis wants to drop 3.1 support * :ghissue:`2658`: Incorrect parsing of raw multiline strings * :ghissue:`2655`: Test fails if `from __future__ import print_function` in .pythonrc.py * :ghissue:`2651`: nonlocal with no existing variable produces too many errors * :ghissue:`2645`: python3 is a pain (minor unicode bug) * :ghissue:`2637`: %paste in Python 3 on Mac doesn't work * :ghissue:`2624`: Error on launching IPython on Win 7 and Python 2.7.3 * :ghissue:`2608`: disk IO activity on cursor press * :ghissue:`1275`: Markdown parses LaTeX math symbols as its formatting syntax in notebook * :ghissue:`2613`: display(Math(...)) doesn't render \tau correctly * :ghissue:`925`: Tab-completion in Qt console needn't use pager * :ghissue:`2607`: %load_ext sympy.interactive.ipythonprinting dammaging output * :ghissue:`2593`: Toolbar button to open qtconsole from notebook * :ghissue:`2602`: IPython html documentation for downloading * :ghissue:`2598`: ipython notebook --pylab=inline replaces built-in any() * :ghissue:`2244`: small issue: wrong printout * :ghissue:`2590`: add easier way to execute scripts in the current directory * :ghissue:`2581`: %hist does not work when InteractiveShell.cache_size = 0 * :ghissue:`2584`: No file COPYING * :ghissue:`2578`: AttributeError: 'module' object has no attribute 'TestCase' * :ghissue:`2576`: One of my notebooks won't load any more -- is there a maximum notebook size? * :ghissue:`2560`: Notebook output is invisible when printing strings with \r\r\n line endings * :ghissue:`2566`: if pyside partially present ipython qtconsole fails to load even if pyqt4 present * :ghissue:`1308`: ipython qtconsole --ssh=server --existing ... hangs * :ghissue:`1679`: List command doesn't work in ipdb debugger the first time * :ghissue:`2545`: pypi win32 installer creates 64bit executibles * :ghissue:`2080`: Event loop issues with IPython 0.12 and PyQt4 (``QDialog.exec_`` and more) * :ghissue:`2541`: Allow `python -m IPython` * :ghissue:`2508`: subplots_adjust() does not work correctly in ipython notebook * :ghissue:`2289`: Incorrect mathjax rendering of certain arrays of equations * :ghissue:`2487`: Selecting and indenting * :ghissue:`2521`: more fine-grained 'run' controls, such as 'run from here' and 'run until here' * :ghissue:`2535`: Funny bounding box when plot with text * :ghissue:`2523`: History not working * :ghissue:`2514`: Issue with zooming in qtconsole * :ghissue:`2220`: No sys.stdout.encoding in kernel based IPython * :ghissue:`2512`: ERROR: Internal Python error in the inspect module. * :ghissue:`2496`: Function passwd does not work in QtConsole * :ghissue:`1453`: make engines reconnect/die when controller was restarted * :ghissue:`2481`: ipython notebook -- clicking in a code cell's output moves the screen to the top of the code cell * :ghissue:`2488`: Undesired plot outputs in Notebook inline mode * :ghissue:`2482`: ipython notebook -- download may not get the latest notebook * :ghissue:`2471`: _subprocess module removed in Python 3.3 * :ghissue:`2374`: Issues with man pages * :ghissue:`2316`: parallel.Client.__init__ should take cluster_id kwarg * :ghissue:`2457`: Can a R library wrapper be created with Rmagic? * :ghissue:`1575`: Fallback frontend for console when connecting pylab=inlnie -enabled kernel? * :ghissue:`2097`: Do not crash if history db is corrupted * :ghissue:`2435`: ipengines fail if clean_logs enabled * :ghissue:`2429`: Using warnings.warn() results in TypeError * :ghissue:`2422`: Multiprocessing in ipython notebook kernel crash * :ghissue:`2426`: ipython crashes with the following message. I do not what went wrong. Can you help me identify the problem? * :ghissue:`2423`: Docs typo? * :ghissue:`2257`: pip install -e fails * :ghissue:`2418`: rmagic can't run R's read.csv on data files with NA data * :ghissue:`2417`: HTML notebook: Backspace sometimes deletes multiple characters * :ghissue:`2275`: notebook: "Down_Arrow" on last line of cell should move to end of line * :ghissue:`2414`: 0.13.1 does not work with current EPD 7.3-2 * :ghissue:`2409`: there is a redundant None * :ghissue:`2410`: Use /usr/bin/python3 instead of /usr/bin/python * :ghissue:`2366`: Notebook Dashboard --notebook-dir and fullpath * :ghissue:`2406`: Inability to get docstring in debugger * :ghissue:`2398`: Show line number for IndentationErrors * :ghissue:`2314`: HTML lists seem to interfere with the QtConsole display * :ghissue:`1688`: unicode exception when using %run with failing script * :ghissue:`1884`: IPython.embed changes color on error * :ghissue:`2381`: %time doesn't work for multiline statements * :ghissue:`1435`: Add size keywords in Image class * :ghissue:`2372`: interactiveshell.py misses urllib and io_open imports * :ghissue:`2371`: iPython not working * :ghissue:`2367`: Tab expansion moves to next cell in notebook * :ghissue:`2359`: nbviever alters the order of print and display() output * :ghissue:`2227`: print name for IPython Notebooks has become uninformative * :ghissue:`2361`: client doesn't use connection file's 'location' in disambiguating 'interface' * :ghissue:`2357`: failing traceback in terminal ipython for first exception * :ghissue:`2343`: Installing in a python 3.3b2 or python 3.3rc1 virtual environment. * :ghissue:`2315`: Failure in test: "Test we're not loading modules on startup that we shouldn't." * :ghissue:`2351`: Multiple Notebook Apps: cookies not port specific, clash with each other * :ghissue:`2350`: running unittest from qtconsole prints output to terminal * :ghissue:`2303`: remote tracebacks broken since 952d0d6 (PR #2223) * :ghissue:`2330`: qtconsole does not hightlight tab-completion suggestion with custom stylesheet * :ghissue:`2325`: Parsing Tex formula fails in Notebook * :ghissue:`2324`: Parsing Tex formula fails * :ghissue:`1474`: Add argument to `run -n` for custom namespace * :ghissue:`2318`: C-m n/p don't work in Markdown cells in the notebook * :ghissue:`2309`: time.time() in ipython notebook producing impossible results * :ghissue:`2307`: schedule tasks on newly arrived engines * :ghissue:`2313`: Allow Notebook HTML/JS to send messages to Python code * :ghissue:`2304`: ipengine throws KeyError: url * :ghissue:`1878`: shell access using ! will not fill class or function scope vars * :ghissue:`2253`: %paste does not retrieve clipboard contents under screen/tmux on OS X * :ghissue:`1510`: Add-on (or Monkey-patch) infrastructure for HTML notebook * :ghissue:`2273`: triple quote and %s at beginning of line with %paste * :ghissue:`2243`: Regression in .embed() * :ghissue:`2266`: SSH passwordless check with OpenSSH checks for the wrong thing * :ghissue:`2217`: Change NewNotebook handler to use 30x redirect * :ghissue:`2276`: config option for disabling history store * :ghissue:`2239`: can't use parallel.Reference in view.map * :ghissue:`2272`: Sympy piecewise messed up rendering * :ghissue:`2252`: %paste throws an exception with empty clipboard * :ghissue:`2259`: git-mpr is currently broken * :ghissue:`2247`: Variable expansion in shell commands should work in substrings * :ghissue:`2026`: Run 'fast' tests only * :ghissue:`2241`: read a list of notebooks on server and bring into browser only notebook * :ghissue:`2237`: please put python and text editor in the web only ipython * :ghissue:`2053`: Improvements to the IPython.display.Image object * :ghissue:`1456`: ERROR: Internal Python error in the inspect module. * :ghissue:`2221`: Avoid importing from IPython.parallel in core * :ghissue:`2213`: Can't trigger startup code in Engines * :ghissue:`1464`: Strange behavior for backspace with lines ending with more than 4 spaces in notebook * :ghissue:`2187`: NaN in object_info_reply JSON causes parse error * :ghissue:`214`: system command requiring administrative privileges * :ghissue:`2195`: Unknown option `no-edit` in git-mpr * :ghissue:`2201`: Add documentation build to tools/test_pr.py * :ghissue:`2205`: Command-line option for default Notebook output collapsing behavior * :ghissue:`1927`: toggle between inline and floating figures * :ghissue:`2171`: Can't start StarCluster after upgrading to IPython 0.13 * :ghissue:`2173`: oct2py v >= 0.3.1 doesn't need h5py anymore * :ghissue:`2099`: storemagic needs to use self.shell * :ghissue:`2166`: DirectView map_sync() with Lambdas Using Generators * :ghissue:`2091`: Unable to use print_stats after %prun -r in notebook * :ghissue:`2132`: Add fail-over for pastebin * :ghissue:`2156`: Make it possible to install ipython without nasty gui dependencies * :ghissue:`2154`: Scrolled long output should be off in print view by default * :ghissue:`2162`: Tab completion does not work with IPython.embed_kernel() * :ghissue:`2157`: iPython 0.13 / github-master cannot create logfile from scratch * :ghissue:`2151`: missing newline when a magic is called from the qtconsole menu * :ghissue:`2139`: 00_notebook_tour Image example broken on master * :ghissue:`2143`: Add a %%cython_annotate magic * :ghissue:`2135`: Running IPython from terminal * :ghissue:`2093`: Makefile for building Sphinx documentation on Windows * :ghissue:`2122`: Bug in pretty printing * :ghissue:`2120`: Notebook "Make a Copy..." keeps opening duplicates in the same tab * :ghissue:`1997`: password cannot be used with url prefix * :ghissue:`2129`: help/doc displayed multiple times if requested in loop * :ghissue:`2121`: ipdb does not support input history in qtconsole * :ghissue:`2114`: %logstart doesn't log * :ghissue:`2085`: %ed magic fails in qtconsole * :ghissue:`2119`: iPython fails to run on MacOS Lion * :ghissue:`2052`: %pylab inline magic does not work on windows * :ghissue:`2111`: Ipython won't start on W7 * :ghissue:`2112`: Strange internal traceback * :ghissue:`2108`: Backslash (\) at the end of the line behavior different from default Python * :ghissue:`1425`: Ampersands can't be typed sometimes in notebook cells * :ghissue:`1513`: Add expand/collapse support for long output elements like stdout and tracebacks * :ghissue:`2087`: error when starting ipython * :ghissue:`2103`: Ability to run notebook file from commandline * :ghissue:`2082`: Qt Console output spacing * :ghissue:`2083`: Test failures with Python 3.2 and PYTHONWARNINGS="d" * :ghissue:`2094`: about inline * :ghissue:`2077`: Starting IPython3 on the terminal * :ghissue:`1760`: easy_install ipython fails on py3.2-win32 * :ghissue:`2075`: Local Mathjax install causes iptest3 error under python3 * :ghissue:`2057`: setup fails for python3 with LANG=C * :ghissue:`2070`: shebang on Windows * :ghissue:`2054`: sys_info missing git hash in sdists * :ghissue:`2059`: duplicate and modified files in documentation * :ghissue:`2056`: except-shadows-builtin osm.py:687 * :ghissue:`2058`: hyphen-used-as-minus-sign in manpages ipython-2.4.1/docs/source/whatsnew/github-stats-2.0.rst0000644000076500000000000025334212466235755023233 0ustar minrkwheel00000000000000.. _issues_list_200: Issues closed in the 2.x development cycle ========================================== Issues closed in 2.4.1 ---------------------- GitHub stats for 2014/11/01 - 2015/01/30 .. note:: IPython 2.4.0 was released without a few of the backports listed below. 2.4.1 has the correct patches intended for 2.4.0. These lists are automatically generated, and may be incomplete or contain duplicates. The following 7 authors contributed 35 commits. * Benjamin Ragan-Kelley * Carlos Cordoba * Damon Allen * Jessica B. Hamrick * Mateusz Paprocki * Peter Würtz * Thomas Kluyver We closed 10 issues and merged 6 pull requests; this is the full list (generated with the script :file:`tools/github_stats.py`): Pull Requests (10): * :ghpull:`7106`: Changed the display order of rich output in the live notebook. * :ghpull:`6878`: Update pygments monkeypatch for compatibility with Pygments 2.0 * :ghpull:`6778`: backport nbformat v4 to 2.x * :ghpull:`6761`: object_info_reply field is oname, not name * :ghpull:`6653`: Fix IPython.utils.ansispan() to ignore stray [0m * :ghpull:`6706`: Correctly display prompt numbers that are 'None' * :ghpull:`6634`: don't use contains in SelectWidget item_query * :ghpull:`6593`: note how to start the qtconsole * :ghpull:`6281`: more minor fixes to release scripts * :ghpull:`5458`: Add support for PyQt5. Issues (6): * :ghissue:`7272`: qtconsole problems with pygments * :ghissue:`7049`: Cause TypeError: 'NoneType' object is not callable in qtconsole * :ghissue:`6877`: Qt console doesn't work with pygments 2.0rc1 * :ghissue:`6689`: Problem with string containing two or more question marks * :ghissue:`6702`: Cell numbering after ``ClearOutput`` preprocessor * :ghissue:`6633`: selectwidget doesn't display 1 as a selection choice when passed in as a member of values list Issues closed in 2.3.1 ---------------------- Just one bugfix: fixed bad CRCRLF line-endings in notebooks on Windows Pull Requests (1): * :ghpull:`6911`: don't use text mode in mkstemp Issues (1): * :ghissue:`6599`: Notebook.ipynb CR+LF turned into CR+CR+LF Issues closed in 2.3.0 ---------------------- GitHub stats for 2014/08/06 - 2014/10/01 These lists are automatically generated, and may be incomplete or contain duplicates. The following 6 authors contributed 31 commits. * Benjamin Ragan-Kelley * David Hirschfeld * Eric Firing * Jessica B. Hamrick * Matthias Bussonnier * Thomas Kluyver We closed 16 issues and merged 9 pull requests; this is the full list (generated with the script :file:`tools/github_stats.py`): Pull Requests (16): * :ghpull:`6587`: support ``%matplotlib qt5`` and ``%matplotlib nbagg`` * :ghpull:`6583`: Windows symlink test fixes * :ghpull:`6585`: fixes :ghissue:`6473` * :ghpull:`6581`: Properly mock winreg functions for test * :ghpull:`6556`: Use some more informative asserts in inprocess kernel tests * :ghpull:`6514`: Fix for copying metadata flags * :ghpull:`6453`: Copy file metadata in atomic save * :ghpull:`6480`: only compare host:port in Websocket.check_origin * :ghpull:`6483`: Trim anchor link in heading cells, fixes :ghissue:`6324` * :ghpull:`6410`: Fix relative import in appnope * :ghpull:`6395`: update mathjax CDN url in nbconvert template * :ghpull:`6269`: Implement atomic save * :ghpull:`6374`: Rename ``abort_queues`` --> ``_abort_queues`` * :ghpull:`6321`: Use appnope in qt and wx gui support from the terminal; closes :ghissue:`6189` * :ghpull:`6318`: use write_error instead of get_error_html * :ghpull:`6303`: Fix error message when failing to load a notebook Issues (9): * :ghissue:`6057`: ``%matplotlib`` + qt5 * :ghissue:`6518`: Test failure in atomic save on Windows * :ghissue:`6473`: Switching between "Raw Cell Format" and "Edit Metadata" does not work * :ghissue:`6405`: Creating a notebook should respect directory permissions; saving should respect prior permissions * :ghissue:`6324`: Anchors in Heading don't work. * :ghissue:`6409`: No module named '_dummy' * :ghissue:`6392`: Mathjax library link broken * :ghissue:`6329`: IPython Notebook Server URL now requires "tree" at the end of the URL? (version 2.2) * :ghissue:`6189`: ipython console freezes for increasing no of seconds in %pylab mode Issues closed in 2.2.0 ---------------------- GitHub stats for 2014/05/21 - 2014/08/06 (tag: rel-2.1.0) These lists are automatically generated, and may be incomplete or contain duplicates. The following 13 authors contributed 36 commits. * Adam Hodgen * Benjamin Ragan-Kelley * Björn Grüning * Dara Adib * Eric Galloway * Jonathan Frederic * Kyle Kelley * Matthias Bussonnier * Paul Ivanov * Shayne Hodge * Steven Anton * Thomas Kluyver * Zahari We closed 23 issues and merged 11 pull requests; this is the full list (generated with the script :file:`tools/github_stats.py`): Pull Requests (23): * :ghpull:`6279`: minor updates to release scripts * :ghpull:`6273`: Upgrade default mathjax version. * :ghpull:`6249`: always use HTTPS getting mathjax from CDN * :ghpull:`6114`: update hmac signature comparison * :ghpull:`6195`: Close handle on new temporary files before returning filename * :ghpull:`6143`: pin tornado to < 4 on travis js tests * :ghpull:`6134`: remove rackcdn https workaround for mathjax cdn * :ghpull:`6120`: Only allow iframe embedding on same origin. * :ghpull:`6117`: Remove / from route of TreeRedirectHandler. * :ghpull:`6105`: only set allow_origin_pat if defined * :ghpull:`6102`: Add newline if missing to end of script magic cell * :ghpull:`6077`: allow unicode keys in dicts in json_clean * :ghpull:`6061`: make CORS configurable * :ghpull:`6081`: don’t modify dict keys while iterating through them * :ghpull:`5803`: unify visual line handling * :ghpull:`6005`: Changed right arrow key movement function to mirror left arrow key * :ghpull:`6029`: add pickleutil.PICKLE_PROTOCOL * :ghpull:`6003`: Set kernel_id before checking websocket * :ghpull:`5994`: Fix ssh tunnel for Python3 * :ghpull:`5973`: Do not create checkpoint_dir relative to current dir * :ghpull:`5933`: fix qt_loader import hook signature * :ghpull:`5944`: Markdown rendering bug fix. * :ghpull:`5917`: use shutil.move instead of os.rename Issues (11): * :ghissue:`6246`: Include MathJax by default or access the CDN over a secure connection * :ghissue:`5525`: Websocket origin check fails when used with Apache WS proxy * :ghissue:`5901`: 2 test failures in Python 3.4 in parallel group * :ghissue:`5926`: QT console: text selection cannot be made from left to right with keyboard * :ghissue:`5998`: use_dill does not work in Python 3.4 * :ghissue:`5964`: Traceback on Qt console exit * :ghissue:`5787`: Error in Notebook-Generated latex (nbconvert) * :ghissue:`5950`: qtconsole truncates help * :ghissue:`5943`: 2.x: notebook fails to load when using HTML comments * :ghissue:`5932`: Qt ImportDenier Does Not Adhere to PEP302 * :ghissue:`5898`: OSError when moving configuration file Issues closed in 2.1.0 ---------------------- GitHub stats for 2014/04/02 - 2014/05/21 (since 2.0.0) These lists are automatically generated, and may be incomplete or contain duplicates. The following 35 authors contributed 145 commits. * Adrian Price-Whelan * Aron Ahmadia * Benjamin Ragan-Kelley * Benjamin Schultz * Björn Linse * Blake Griffith * chebee7i * Damián Avila * Dav Clark * dexterdev * Erik Tollerud * Grzegorz Rożniecki * Jakob Gager * jdavidheiser * Jessica B. Hamrick * Jim Garrison * Jonathan Frederic * Matthias Bussonnier * Maximilian Albert * Mohan Raj Rajamanickam * ncornette * Nikolay Koldunov * Nile Geisinger * Pankaj Pandey * Paul Ivanov * Pierre Haessig * Raffaele De Feo * Renaud Richardet * Spencer Nelson * Steve Chan * sunny * Susan Tan * Thomas Kluyver * Yaroslav Halchenko * zah We closed a total of 129 issues, 92 pull requests and 37 regular issues; this is the full list (generated with the script :file:`tools/github_stats.py --milestone 2.1`): Pull Requests (92): * :ghpull:`5871`: specify encoding in msgpack.unpackb * :ghpull:`5869`: Catch more errors from clipboard access on Windows * :ghpull:`5866`: Make test robust against differences in line endings * :ghpull:`5605`: Two cell toolbar fixes. * :ghpull:`5843`: remove Firefox-specific CSS workaround * :ghpull:`5845`: Pass Windows interrupt event to kernels as an environment variable * :ghpull:`5835`: fix typo in v2 convert * :ghpull:`5841`: Fix writing history with output to a file in Python 2 * :ghpull:`5842`: fix typo in nbconvert help * :ghpull:`5846`: Fix typos in Cython example * :ghpull:`5839`: Close graphics dev in finally clause * :ghpull:`5837`: pass on install docs * :ghpull:`5832`: Fixed example to work with python3 * :ghpull:`5826`: allow notebook tour instantiation to fail * :ghpull:`5560`: Minor expansion of Cython example * :ghpull:`5818`: interpret any exception in getcallargs as not callable * :ghpull:`5816`: Add output to IPython directive when in verbatim mode. * :ghpull:`5822`: Don't overwrite widget description in interact * :ghpull:`5782`: Silence exception thrown by completer when dir() does not return a list * :ghpull:`5807`: Drop log level to info for Qt console shutdown * :ghpull:`5814`: Remove -i options from mv, rm and cp aliases * :ghpull:`5812`: Fix application name when printing subcommand help. * :ghpull:`5804`: remove an inappropriate ``!`` * :ghpull:`5805`: fix engine startup files * :ghpull:`5806`: Don't auto-move .config/ipython if symbolic link * :ghpull:`5716`: Add booktabs package to latex base.tplx * :ghpull:`5669`: allows threadsafe sys.stdout.flush from background threads * :ghpull:`5668`: allow async output on the most recent request * :ghpull:`5768`: fix cursor keys in long lines wrapped in markdown * :ghpull:`5788`: run cells with ``silent=True`` in ``%run nb.ipynb`` * :ghpull:`5715`: log all failed ajax API requests * :ghpull:`5769`: Don't urlescape the text that goes into a title tag * :ghpull:`5762`: Fix check for pickling closures * :ghpull:`5766`: View.map with empty sequence should return empty list * :ghpull:`5758`: Applied bug fix: using fc and ec did not properly set the figure canvas ... * :ghpull:`5754`: Format command name into subcommand_description at run time, not import * :ghpull:`5744`: Describe using PyPI/pip to distribute & install extensions * :ghpull:`5712`: monkeypatch inspect.findsource only when we use it * :ghpull:`5708`: create checkpoints dir in notebook subdirectories * :ghpull:`5714`: log error message when API requests fail * :ghpull:`5732`: Quick typo fix in nbformat/convert.py * :ghpull:`5713`: Fix a NameError in IPython.parallel * :ghpull:`5704`: Update nbconvertapp.py * :ghpull:`5534`: cleanup some ``pre`` css inheritance * :ghpull:`5699`: don't use common names in require decorators * :ghpull:`5692`: Update notebook.rst fixing broken reference to notebook examples readme * :ghpull:`5693`: Update parallel_intro.rst to fix a broken link to examples * :ghpull:`5486`: disambiguate to location when no IPs can be determined * :ghpull:`5574`: Remove the outdated keyboard shortcuts from notebook docs * :ghpull:`5568`: Use ``__qualname__`` in pretty reprs for Python 3 * :ghpull:`5678`: Fix copy & paste error in docstring of ImageWidget class * :ghpull:`5677`: Fix %bookmark -l for Python 3 * :ghpull:`5670`: nbconvert: Fix CWD imports * :ghpull:`5647`: Mention git hooks in install documentation * :ghpull:`5671`: Fix blank slides issue in Reveal slideshow pdf export * :ghpull:`5657`: use 'localhost' as default for the notebook server * :ghpull:`5584`: more semantic icons * :ghpull:`5594`: update components with marked-0.3.2 * :ghpull:`5500`: check for Python 3.2 * :ghpull:`5582`: reset readline after running PYTHONSTARTUP * :ghpull:`5630`: Fixed Issue :ghissue:`4012` Added Help menubar link to Github markdown doc * :ghpull:`5613`: Fixing bug :ghissue:`5607` * :ghpull:`5633`: Provide more help if lessc is not found. * :ghpull:`5620`: fixed a typo in IPython.core.formatters * :ghpull:`5619`: Fix typo in storemagic module docstring * :ghpull:`5592`: add missing ``browser`` to notebook_aliases list * :ghpull:`5506`: Fix ipconfig regex pattern * :ghpull:`5581`: Fix rmagic for cells ending in comment. * :ghpull:`5576`: only process cr if it's found * :ghpull:`5478`: Add git-hooks install script. Update README.md * :ghpull:`5546`: do not shutdown notebook if 'n' is part of answer * :ghpull:`5527`: Don't remove upload items from nav tree unless explicitly requested. * :ghpull:`5501`: remove inappropriate wheel tag override * :ghpull:`5548`: FileNotebookManager: Use shutil.move() instead of os.rename() * :ghpull:`5524`: never use ``for (var i in array)`` * :ghpull:`5459`: Fix interact animation page jump FF * :ghpull:`5559`: Minor typo fix in "Cython Magics.ipynb" * :ghpull:`5507`: Fix typo in interactive widgets examples index notebook * :ghpull:`5554`: Make HasTraits pickleable * :ghpull:`5535`: fix n^2 performance issue in coalesce_streams preprocessor * :ghpull:`5522`: fix iteration over Client * :ghpull:`5488`: Added missing require and jquery from cdn. * :ghpull:`5516`: ENH: list generated config files in generated, and rm them upon clean * :ghpull:`5493`: made a minor fix to one of the widget examples * :ghpull:`5512`: Update tooltips to refer to shift-tab * :ghpull:`5505`: Make backport_pr work on Python 3 * :ghpull:`5503`: check explicitly for 'dev' before adding the note to docs * :ghpull:`5498`: use milestones to indicate backport * :ghpull:`5492`: Polish whatsnew docs * :ghpull:`5495`: Fix various broken things in docs * :ghpull:`5496`: Exclude whatsnew/pr directory from docs builds * :ghpull:`5489`: Fix required Python versions Issues (37): * :ghissue:`5364`: Horizontal scrollbar hides cell's last line on Firefox * :ghissue:`5192`: horisontal scrollbar overlaps output or touches next cell * :ghissue:`5840`: Third-party Windows kernels don't get interrupt signal * :ghissue:`2412`: print history to file using qtconsole and notebook * :ghissue:`5703`: Notebook doesn't render with "ask me every time" cookie setting in Firefox * :ghissue:`5817`: calling mock object in IPython 2.0.0 under Python 3.4.0 raises AttributeError * :ghissue:`5499`: Error running widgets nbconvert example * :ghissue:`5654`: Broken links from ipython documentation * :ghissue:`5019`: print in QT event callback doesn't show up in ipython notebook. * :ghissue:`5800`: Only last In prompt number set ? * :ghissue:`5801`: startup_command specified in ipengine_config.py is not executed * :ghissue:`5690`: ipython 2.0.0 and pandoc 1.12.2.1 problem * :ghissue:`5408`: Add checking/flushing of background output from kernel in mainloop * :ghissue:`5407`: clearing message handlers on status=idle loses async output * :ghissue:`5467`: Incorrect behavior of up/down keyboard arrows in code cells on wrapped lines * :ghissue:`3085`: nicer notebook error message when lacking permissions * :ghissue:`5765`: map_sync over empty list raises IndexError * :ghissue:`5553`: Notebook matplotlib inline backend: can't set figure facecolor * :ghissue:`5710`: inspect.findsource monkeypatch raises wrong exception for C extensions * :ghissue:`5706`: Multi-Directory notebooks overwrite each other's checkpoints * :ghissue:`5698`: can't require a function named ``f`` * :ghissue:`5569`: Keyboard shortcuts in documentation are out of date * :ghissue:`5566`: Function name printing should use ``__qualname__`` instead of ``__name__`` (Python 3) * :ghissue:`5676`: "bookmark -l" not working in ipython 2.0 * :ghissue:`5555`: Differentiate more clearly between Notebooks and Folders in new UI * :ghissue:`5590`: Marked double escape * :ghissue:`5514`: import tab-complete fail with ipython 2.0 shell * :ghissue:`4012`: Notebook: link to markdown formatting reference * :ghissue:`5611`: Typo in 'storemagic' documentation * :ghissue:`5589`: Kernel start fails when using --browser argument * :ghissue:`5491`: Bug in Windows ipconfig ip address regular expression * :ghissue:`5579`: rmagic extension throws 'Error while parsing the string.' when last line is comment * :ghissue:`5518`: Ipython2 will not open ipynb in example directory * :ghissue:`5561`: New widget documentation has missing notebook link * :ghissue:`5128`: Page jumping when output from widget interaction replaced * :ghissue:`5519`: IPython.parallel.Client behavior as iterator * :ghissue:`5510`: Tab-completion for function argument list Issues closed in 2.0.0 ---------------------- GitHub stats for 2013/08/09 - 2014/04/01 (since 1.0.0) These lists are automatically generated, and may be incomplete or contain duplicates. The following 94 authors contributed 3949 commits. * Aaron Meurer * Abhinav Upadhyay * Adam Riggall * Alex Rudy * Andrew Mark * Angus Griffith * Antony Lee * Aron Ahmadia * Arun Persaud * Benjamin Ragan-Kelley * Bing Xia * Blake Griffith * Bouke van der Bijl * Bradley M. Froehle * Brian E. Granger * Carlos Cordoba * chapmanb * chebee7i * Christoph Gohlke * Christophe Pradal * Cyrille Rossant * Damián Avila * Daniel B. Vasquez * Dav Clark * David Hirschfeld * David P. Sanders * David Wyde * David Österberg * Doug Blank * Dražen Lučanin * epifanio * Fernando Perez * Gabriel Becker * Geert Barentsen * Hans Meine * Ingolf Becker * Jake Vanderplas * Jakob Gager * James Porter * Jason Grout * Jeffrey Tratner * Jonah Graham * Jonathan Frederic * Joris Van den Bossche * Juergen Hasch * Julian Taylor * Katie Silverio * Kevin Burke * Kieran O'Mahony * Konrad Hinsen * Kyle Kelley * Lawrence Fu * Marc Molla * Martín Gaitán * Matt Henderson * Matthew Brett * Matthias Bussonnier * Michael Droettboom * Mike McKerns * Nathan Goldbaum * Pablo de Oliveira * Pankaj Pandey * Pascal Schetelat * Paul Ivanov * Paul Moore * Pere Vilas * Peter Davis * Philippe Mallet-Ladeira * Preston Holmes * Puneeth Chaganti * Richard Everson * Roberto Bonvallet * Samuel Ainsworth * Sean Vig * Shashi Gowda * Skipper Seabold * Stephan Rave * Steve Fox * Steven Silvester * stonebig * Susan Tan * Sylvain Corlay * Takeshi Kanmae * Ted Drain * Thomas A Caswell * Thomas Kluyver * Théophile Studer * Volker Braun * Wieland Hoffmann * Yaroslav Halchenko * Yoval P. * Yung Siang Liau * Zachary Sailer * zah We closed a total of 1121 issues, 687 pull requests and 434 regular issues; this is the full list (generated with the script :file:`tools/github_stats.py`): Pull Requests (687): * :ghpull:`5487`: remove weird unicode space in the new copyright header * :ghpull:`5476`: For 2.0: Fix links in Notebook Help Menu * :ghpull:`5337`: Examples reorganization * :ghpull:`5436`: CodeMirror shortcuts in QuickHelp * :ghpull:`5444`: Fix numeric verification for Int and Float text widgets. * :ghpull:`5449`: Stretch keyboard shortcut dialog * :ghpull:`5473`: Minor corrections of git-hooks setup instructions * :ghpull:`5471`: Add coding magic comment to nbconvert Python template * :ghpull:`5452`: print_figure returns unicode for svg * :ghpull:`5450`: proposal: remove codename * :ghpull:`5462`: DOC : fixed minor error in using topological sort * :ghpull:`5463`: make spin_thread tests more forgiving of slow VMs * :ghpull:`5464`: Fix starting notebook server with file/directory at command line. * :ghpull:`5453`: remove gitwash * :ghpull:`5454`: Improve history API docs * :ghpull:`5431`: update github_stats and gh_api for 2.0 * :ghpull:`5290`: Add dual mode JS tests * :ghpull:`5451`: check that a handler is actually registered in ShortcutManager.handles * :ghpull:`5447`: Add %%python2 cell magic * :ghpull:`5439`: Point to the stable SymPy docs, not the dev docs * :ghpull:`5437`: Install jquery-ui images * :ghpull:`5434`: fix check for empty cells in rst template * :ghpull:`5432`: update links in notebook help menu * :ghpull:`5435`: Update whatsnew (notebook tour) * :ghpull:`5433`: Document extraction of octave and R magics * :ghpull:`5428`: Update COPYING.txt * :ghpull:`5426`: Separate get_session_info between HistoryAccessor and HistoryManager * :ghpull:`5419`: move prompts from margin to main column on small screens * :ghpull:`5430`: Make sure `element` is correct in the context of displayed JS * :ghpull:`5396`: prevent saving of partially loaded notebooks * :ghpull:`5429`: Fix tooltip pager feature * :ghpull:`5330`: Updates to shell reference doc * :ghpull:`5404`: Fix broken accordion widget * :ghpull:`5339`: Don't use fork to start the notebook in js tests * :ghpull:`5320`: Fix for Tooltip & completer click focus bug. * :ghpull:`5421`: Move configuration of Python test controllers into setup() * :ghpull:`5418`: fix typo in ssh launcher send_file * :ghpull:`5403`: remove alt-- shortcut * :ghpull:`5389`: better log message in deprecated files/ redirect * :ghpull:`5333`: Fix filenbmanager.list_dirs fails for Windows user profile directory * :ghpull:`5390`: finish PR #5333 * :ghpull:`5326`: Some gardening on iptest result reporting * :ghpull:`5375`: remove unnecessary onload hack from mathjax macro * :ghpull:`5368`: Flexbox classes specificity fixes * :ghpull:`5331`: fix raw_input CSS * :ghpull:`5395`: urlencode images for rst files * :ghpull:`5049`: update quickhelp on adding and removing shortcuts * :ghpull:`5391`: Fix Gecko (Netscape) keyboard handling * :ghpull:`5387`: Respect '\r' characters in nbconvert. * :ghpull:`5399`: Revert PR #5388 * :ghpull:`5388`: Suppress output even when a comment follows ;. Fixes #4525. * :ghpull:`5394`: nbconvert doc update * :ghpull:`5359`: do not install less sources * :ghpull:`5346`: give hint on where to find custom.js * :ghpull:`5357`: catch exception in copystat * :ghpull:`5380`: Remove DefineShortVerb... line from latex base template * :ghpull:`5376`: elide long containers in pretty * :ghpull:`5310`: remove raw cell placeholder on focus, closes #5238 * :ghpull:`5332`: semantic names for indicator icons * :ghpull:`5386`: Fix import of socketserver on Python 3 * :ghpull:`5360`: remove some redundant font-family: monospace * :ghpull:`5379`: don't instantiate Application just for default logger * :ghpull:`5372`: Don't autoclose strings * :ghpull:`5296`: unify keyboard shortcut and codemirror interaction * :ghpull:`5349`: Make Hub.registration_timeout configurable * :ghpull:`5340`: install bootstrap-tour css * :ghpull:`5335`: Update docstring for deepreload module * :ghpull:`5321`: Improve assignment regex to match more tuple unpacking syntax * :ghpull:`5325`: add NotebookNotary to NotebookApp's class list * :ghpull:`5313`: avoid loading preprocessors twice * :ghpull:`5308`: fix HTML capitalization in Highlight2HTML * :ghpull:`5295`: OutputArea.append_type functions are not prototype methods * :ghpull:`5318`: Fix local import of select_figure_formats * :ghpull:`5300`: Fix NameError: name '_rl' is not defined * :ghpull:`5292`: focus next cell on shift+enter * :ghpull:`5291`: debug occasional error in test_queue_status * :ghpull:`5289`: Finishing up #5274 (widget paths fixes) * :ghpull:`5232`: Make nbconvert html full output like notebook's html. * :ghpull:`5288`: Correct initial state of kernel status indicator * :ghpull:`5253`: display any output from this session in terminal console * :ghpull:`4802`: Tour of the notebook UI (was UI elements inline with highlighting) * :ghpull:`5285`: Update signature presentation in pinfo classes * :ghpull:`5268`: Refactoring Notebook.command_mode * :ghpull:`5226`: Don't run PYTHONSTARTUP file if a file or code is passed * :ghpull:`5283`: Remove Widget.closed attribute * :ghpull:`5279`: nbconvert: Make sure node is atleast version 0.9.12 * :ghpull:`5281`: fix a typo introduced by a rebased PR * :ghpull:`5280`: append Firefox overflow-x fix * :ghpull:`5277`: check that PIL can save JPEG to BytesIO * :ghpull:`5044`: Store timestamps for modules to autoreload * :ghpull:`5278`: Update whatsnew doc from pr files * :ghpull:`5276`: Fix kernel restart in case connection file is deleted. * :ghpull:`5272`: allow highlighting language to be set from notebook metadata * :ghpull:`5158`: log refusal to serve hidden directories * :ghpull:`5188`: New events system * :ghpull:`5265`: Missing class def for TimeoutError * :ghpull:`5267`: normalize unicode in notebook API tests * :ghpull:`5076`: Refactor keyboard handling * :ghpull:`5241`: Add some tests for utils * :ghpull:`5261`: Don't allow edit mode up arrow to continue past index == 0 * :ghpull:`5223`: use on-load event to trigger resizable images * :ghpull:`5252`: make one strptime call at import of jsonutil * :ghpull:`5153`: Dashboard sorting * :ghpull:`5169`: Allow custom header * :ghpull:`5242`: clear _reply_content cache before using it * :ghpull:`5194`: require latex titles to be ascii * :ghpull:`5244`: try to avoid EADDRINUSE errors on travis * :ghpull:`5245`: support extracted output in HTML template * :ghpull:`5209`: make input_area css generic to cells * :ghpull:`5246`: less %pylab, more cowbell! * :ghpull:`4895`: Improvements to %run completions * :ghpull:`5243`: Add Javscript to base display priority list. * :ghpull:`5175`: Audit .html() calls take #2 * :ghpull:`5146`: Dual mode bug fixes. * :ghpull:`5207`: Children fire event * :ghpull:`5215`: Dashboard "Running" Tab * :ghpull:`5240`: Remove unused IPython.nbconvert.utils.console module * :ghpull:`5239`: Fix exclusion of tests directories from coverage reports * :ghpull:`5203`: capture some logging/warning output in some tests * :ghpull:`5216`: fixup positional arg handling in notebook app * :ghpull:`5229`: get _ipython_display_ method safely * :ghpull:`5234`: DOC : modified docs is HasTraits.traits and HasTraits.class_traits * :ghpull:`5221`: Change widget children List to Tuple. * :ghpull:`5231`: don't forget base_url when updating address bar in rename * :ghpull:`5173`: Moved widget files into static/widgets/* * :ghpull:`5222`: Unset PYTHONWARNINGS envvar before running subprocess tests. * :ghpull:`5172`: Prevent page breaks when printing notebooks via print-view. * :ghpull:`4985`: Add automatic Closebrackets function to Codemirror. * :ghpull:`5220`: Make traitlets notify check more robust against classes redefining equality and bool * :ghpull:`5197`: If there is an error comparing traitlet values when setting a trait, default to go ahead and notify of the new value. * :ghpull:`5210`: fix pyreadline import in rlineimpl * :ghpull:`5212`: Wrap nbconvert Markdown/Heading cells in live divs * :ghpull:`5200`: Allow to pass option to jinja env * :ghpull:`5202`: handle nodejs executable on debian * :ghpull:`5112`: band-aid for completion * :ghpull:`5187`: handle missing output metadata in nbconvert * :ghpull:`5181`: use gnureadline on OS X * :ghpull:`5136`: set default value from signature defaults in interact * :ghpull:`5132`: remove application/pdf->pdf transform in javascript * :ghpull:`5116`: reorganize who knows what about paths * :ghpull:`5165`: Don't introspect __call__ for simple callables * :ghpull:`5170`: Added msg_throttle sync=True widget traitlet * :ghpull:`5191`: Translate markdown link to rst * :ghpull:`5037`: FF Fix: alignment and scale of text widget * :ghpull:`5179`: remove websocket url * :ghpull:`5110`: add InlineBackend.print_figure_kwargs * :ghpull:`5147`: Some template URL changes * :ghpull:`5100`: remove base_kernel_url * :ghpull:`5163`: Simplify implementation of TemporaryWorkingDirectory. * :ghpull:`5166`: remove mktemp usage * :ghpull:`5133`: don't use combine option on ucs package * :ghpull:`5089`: Remove legacy azure nbmanager * :ghpull:`5159`: remove append_json reference * :ghpull:`5095`: handle image size metadata in nbconvert html * :ghpull:`5156`: fix IPython typo, closes #5155 * :ghpull:`5150`: fix a link that was broken * :ghpull:`5114`: use non-breaking space for button with no description * :ghpull:`4778`: add APIs for installing notebook extensions * :ghpull:`5125`: Fix the display of functions with keyword-only arguments on Python 3. * :ghpull:`5097`: minor notebook logging changes * :ghpull:`5047`: only validate package_data when it might be used * :ghpull:`5121`: fix remove event in KeyboardManager.register_events * :ghpull:`5119`: Removed 'list' view from Variable Inspector example * :ghpull:`4925`: Notebook manager api fixes * :ghpull:`4996`: require print_method to be a bound method * :ghpull:`5108`: require specifying the version for gh-pages * :ghpull:`5111`: Minor typo in docstring of IPython.parallel DirectView * :ghpull:`5098`: mostly debugging changes for IPython.parallel * :ghpull:`5087`: trust cells with no output * :ghpull:`5059`: Fix incorrect `Patch` logic in widget code * :ghpull:`5075`: More flexible box model fixes * :ghpull:`5091`: Provide logging messages in ipcluster log when engine or controllers fail to start * :ghpull:`5090`: Print a warning when iptest is run from the IPython source directory * :ghpull:`5077`: flush replies when entering an eventloop * :ghpull:`5055`: Minimal changes to import IPython from IronPython * :ghpull:`5078`: Updating JS tests README.md * :ghpull:`5083`: don't create js test directories unless they are being used * :ghpull:`5062`: adjust some events in nb_roundtrip * :ghpull:`5043`: various unicode / url fixes * :ghpull:`5066`: remove (almost) all mentions of pylab from our examples * :ghpull:`4977`: ensure scp destination directories exist (with mkdir -p) * :ghpull:`5053`: Move&rename JS tests * :ghpull:`5067`: show traceback in widget handlers * :ghpull:`4920`: Adding PDFFormatter and kernel side handling of PDF display data * :ghpull:`5048`: Add edit/command mode indicator * :ghpull:`5061`: make execute button in menu bar match shift-enter * :ghpull:`5052`: Add q to toggle the pager. * :ghpull:`5070`: fix flex: auto * :ghpull:`5065`: Add example of using annotations in interact * :ghpull:`5063`: another pass on Interact example notebooks * :ghpull:`5051`: FF Fix: code cell missing hscroll (2) * :ghpull:`4960`: Interact/Interactive for widget * :ghpull:`5045`: Clear timeout in multi-press keyboard shortcuts. * :ghpull:`5060`: Change 'bind' to 'link' * :ghpull:`5039`: Expose kernel_info method on inprocess kernel client * :ghpull:`5058`: Fix iopubwatcher.py example script. * :ghpull:`5035`: FF Fix: code cell missing hscroll * :ghpull:`5040`: Polishing some docs * :ghpull:`5001`: Add directory navigation to dashboard * :ghpull:`5042`: Remove duplicated Channel ABC classes. * :ghpull:`5036`: FF Fix: ext link icon same line as link text in help menu * :ghpull:`4975`: setup.py changes for 2.0 * :ghpull:`4774`: emit event on appended element on dom * :ghpull:`5023`: Widgets- add ability to pack and unpack arrays on JS side. * :ghpull:`5003`: Fix pretty reprs of super() objects * :ghpull:`4974`: make paste focus the pasted cell * :ghpull:`5012`: Make `SelectionWidget.values` a dict * :ghpull:`5018`: Prevent 'iptest IPython' from trying to run. * :ghpull:`5025`: citation2latex filter (using HTMLParser) * :ghpull:`5027`: pin lessc to 1.4 * :ghpull:`4952`: Widget test inconsistencies * :ghpull:`5014`: Fix command mode & popup view bug * :ghpull:`4842`: more subtle kernel indicator * :ghpull:`5017`: Add notebook examples link to help menu. * :ghpull:`5015`: don't write cell.trusted to disk * :ghpull:`5007`: Update whatsnew doc from PR files * :ghpull:`5010`: Fixes for widget alignment in FF * :ghpull:`4901`: Add a convenience class to sync traitlet attributes * :ghpull:`5008`: updated explanation of 'pyin' messages * :ghpull:`5004`: Fix widget vslider spacing * :ghpull:`4933`: Small Widget inconsistency fixes * :ghpull:`4979`: add versioning notes to small message spec changes * :ghpull:`4893`: add font-awesome 3.2.1 * :ghpull:`4982`: Live readout for slider widgets * :ghpull:`4813`: make help menu a template * :ghpull:`4939`: Embed qtconsole docs (continued) * :ghpull:`4964`: remove shift-= merge keyboard shortcut * :ghpull:`4504`: Allow input transformers to raise SyntaxError * :ghpull:`4929`: Fixing various modal/focus related bugs * :ghpull:`4971`: Fixing issues with js tests * :ghpull:`4972`: Work around problem in doctest discovery in Python 3.4 with PyQt * :ghpull:`4937`: pickle arrays with dtype=object * :ghpull:`4934`: `ipython profile create` respects `--ipython-dir` * :ghpull:`4954`: generate unicode filename * :ghpull:`4845`: Add Origin Checking. * :ghpull:`4916`: Fine tuning the behavior of the modal UI * :ghpull:`4966`: Ignore sys.argv for NotebookNotary in tests * :ghpull:`4967`: Fix typo in warning about web socket being closed * :ghpull:`4965`: Remove mention of iplogger from setup.py * :ghpull:`4962`: Fixed typos in quick-help text * :ghpull:`4953`: add utils.wait_for_idle in js tests * :ghpull:`4870`: ipython_directive, report except/warn in block and add :okexcept: :okwarning: options to suppress * :ghpull:`4662`: Menu cleanup * :ghpull:`4824`: sign notebooks * :ghpull:`4943`: Docs shotgun 4 * :ghpull:`4848`: avoid import of nearby temporary with %edit * :ghpull:`4950`: Two fixes for file upload related bugs * :ghpull:`4927`: there shouldn't be a 'files/' prefix in FileLink[s] * :ghpull:`4928`: use importlib.machinery when available * :ghpull:`4949`: Remove the docscrape modules, which are part of numpydoc * :ghpull:`4849`: Various unicode fixes (mostly on Windows) * :ghpull:`4932`: always point py3compat.input to builtin_mod.input * :ghpull:`4807`: Correct handling of ansi colour codes when nbconverting to latex * :ghpull:`4922`: Python nbconvert output shouldn't have output * :ghpull:`4912`: Skip some Windows io failures * :ghpull:`4919`: flush output before showing tracebacks * :ghpull:`4915`: ZMQCompleter inherits from IPCompleter * :ghpull:`4890`: better cleanup channel FDs * :ghpull:`4880`: set profile name from profile_dir * :ghpull:`4853`: fix setting image height/width from metadata * :ghpull:`4786`: Reduce spacing of heading cells * :ghpull:`4680`: Minimal pandoc version warning * :ghpull:`4908`: detect builtin docstrings in oinspect * :ghpull:`4911`: Don't use `python -m package` on Windows Python 2 * :ghpull:`4909`: sort dictionary keys before comparison, ordering is not guaranteed * :ghpull:`4374`: IPEP 23: Backbone.js Widgets * :ghpull:`4903`: use https for all embeds * :ghpull:`4894`: Shortcut changes * :ghpull:`4897`: More detailed documentation about kernel_cmd * :ghpull:`4891`: Squash a few Sphinx warnings from nbconvert.utils.lexers docstrings * :ghpull:`4679`: JPG compression for inline pylab * :ghpull:`4708`: Fix indent and center * :ghpull:`4789`: fix IPython.embed * :ghpull:`4655`: prefer marked to pandoc for markdown2html * :ghpull:`4876`: don't show tooltip if object is not found * :ghpull:`4873`: use 'combine' option to ucs package * :ghpull:`4732`: Accents in notebook names and in command-line (nbconvert) * :ghpull:`4867`: Update URL for Lawrence Hall of Science webcam image * :ghpull:`4868`: Static path fixes * :ghpull:`4858`: fix tb_offset when running a file * :ghpull:`4826`: some $.html( -> $.text( * :ghpull:`4847`: add js kernel_info request * :ghpull:`4832`: allow NotImplementedError in formatters * :ghpull:`4803`: BUG: fix cython magic support in ipython_directive * :ghpull:`4865`: `build` listed twice in .gitignore. Removing one. * :ghpull:`4851`: fix tooltip token regex for single-character names * :ghpull:`4846`: Remove some leftover traces of irunner * :ghpull:`4820`: fix regex for cleaning old logs with ipcluster * :ghpull:`4844`: adjustments to notebook app logging * :ghpull:`4840`: Error in Session.send_raw() * :ghpull:`4819`: update CodeMirror to 3.21 * :ghpull:`4823`: Minor fixes for typos/inconsistencies in parallel docs * :ghpull:`4811`: document code mirror tab and shift-tab * :ghpull:`4795`: merge reveal templates * :ghpull:`4796`: update components * :ghpull:`4806`: Correct order of packages for unicode in nbconvert to LaTeX * :ghpull:`4800`: Qt frontend: Handle 'aborted' prompt replies. * :ghpull:`4794`: Compatibility fix for Python3 (Issue #4783 ) * :ghpull:`4799`: minor js test fix * :ghpull:`4788`: warn when notebook is started in pylab mode * :ghpull:`4772`: Notebook server info files * :ghpull:`4797`: be conservative about kernel_info implementation * :ghpull:`4787`: non-python kernels run python code with qtconsole * :ghpull:`4565`: various display type validations * :ghpull:`4703`: Math macro in jinja templates. * :ghpull:`4781`: Fix "Source" text for the "Other Syntax" section of the "Typesetting Math" notebook * :ghpull:`4776`: Manually document py3compat module. * :ghpull:`4533`: propagate display metadata to all mimetypes * :ghpull:`4785`: Replacing a for-in loop by an index loop on an array * :ghpull:`4780`: Updating CSS for UI example. * :ghpull:`3605`: Modal UI * :ghpull:`4758`: Python 3.4 fixes * :ghpull:`4735`: add some HTML error pages * :ghpull:`4775`: Update whatsnew doc from PR files * :ghpull:`4760`: Make examples and docs more Python 3 aware * :ghpull:`4773`: Don't wait forever for notebook server to launch/die for tests * :ghpull:`4768`: Qt console: Fix _prompt_pos accounting on timer flush output. * :ghpull:`4727`: Remove Nbconvert template loading magic * :ghpull:`4763`: Set numpydoc options to produce fewer Sphinx warnings. * :ghpull:`4770`: alway define aliases, even if empty * :ghpull:`4766`: add `python -m` entry points for everything * :ghpull:`4767`: remove manpages for irunner, iplogger * :ghpull:`4751`: Added --post-serve explanation into the nbconvert docs. * :ghpull:`4762`: whitelist alphanumeric characters for cookie_name * :ghpull:`4625`: Deprecate %profile magic * :ghpull:`4745`: warn on failed formatter calls * :ghpull:`4746`: remove redundant cls alias on Windows * :ghpull:`4749`: Fix bug in determination of public ips. * :ghpull:`4715`: restore use of tornado static_url in templates * :ghpull:`4748`: fix race condition in profiledir creation. * :ghpull:`4720`: never use ssh multiplexer in tunnels * :ghpull:`4658`: Bug fix for #4643: Regex object needs to be reset between calls in toolt... * :ghpull:`4561`: Add Formatter.pop(type) * :ghpull:`4712`: Docs shotgun 3 * :ghpull:`4713`: Fix saving kernel history in Python 2 * :ghpull:`4744`: don't use lazily-evaluated rc.ids in wait_for_idle * :ghpull:`4740`: %env can't set variables * :ghpull:`4737`: check every link when detecting virutalenv * :ghpull:`4738`: don't inject help into user_ns * :ghpull:`4739`: skip html nbconvert tests when their dependencies are missing * :ghpull:`4730`: Fix stripping continuation prompts when copying from Qt console * :ghpull:`4725`: Doc fixes * :ghpull:`4656`: Nbconvert HTTP service * :ghpull:`4710`: make @interactive decorator friendlier with dill * :ghpull:`4722`: allow purging local results as long as they are not outstanding * :ghpull:`4549`: Updated IPython console lexers. * :ghpull:`4570`: Update IPython directive * :ghpull:`4719`: Fix comment typo in prefilter.py * :ghpull:`4575`: make sure to encode URL components for API requests * :ghpull:`4718`: Fixed typo in displaypub * :ghpull:`4716`: Remove input_prefilter hook * :ghpull:`4691`: survive failure to bind to localhost in zmq.iostream * :ghpull:`4696`: don't do anything if add_anchor fails * :ghpull:`4711`: some typos in the docs * :ghpull:`4700`: use if main block in entry points * :ghpull:`4692`: setup.py symlink improvements * :ghpull:`4265`: JSON configuration file * :ghpull:`4505`: Nbconvert latex markdown images2 * :ghpull:`4608`: transparent background match ... all colors * :ghpull:`4678`: allow ipython console to handle text/plain display * :ghpull:`4706`: remove irunner, iplogger * :ghpull:`4701`: Delete an old dictionary available for selecting the aligment of text. * :ghpull:`4702`: Making reveal font-size a relative unit. * :ghpull:`4649`: added a quiet option to %cpaste to suppress output * :ghpull:`4690`: Option to spew subprocess streams during tests * :ghpull:`4688`: Fixed various typos in docstrings. * :ghpull:`4645`: CasperJs utility functions. * :ghpull:`4670`: Stop bundling the numpydoc Sphinx extension * :ghpull:`4675`: common IPython prefix for ModIndex * :ghpull:`4672`: Remove unused 'attic' module * :ghpull:`4671`: Fix docstrings in utils.text * :ghpull:`4669`: add missing help strings to HistoryManager configurables * :ghpull:`4668`: Make non-ASCII docstring unicode * :ghpull:`4650`: added a note about sharing of nbconvert tempates * :ghpull:`4646`: Fixing various output related things: * :ghpull:`4665`: check for libedit in readline on OS X * :ghpull:`4606`: Make running PYTHONSTARTUP optional * :ghpull:`4654`: Fixing left padding of text cells to match that of code cells. * :ghpull:`4306`: add raw_mimetype metadata to raw cells * :ghpull:`4576`: Tighten up the vertical spacing on cells and make the padding of cells more consistent * :ghpull:`4353`: Don't reset the readline completer after each prompt * :ghpull:`4567`: Adding prompt area to non-CodeCells to indent content. * :ghpull:`4446`: Use SVG plots in OctaveMagic by default due to lack of Ghostscript on Windows Octave * :ghpull:`4613`: remove configurable.created * :ghpull:`4631`: Use argument lists for command help tests * :ghpull:`4633`: Modifies test_get_long_path_name_winr32() to allow for long path names in temp dir * :ghpull:`4642`: Allow docs to build without PyQt installed. * :ghpull:`4641`: Don't check for wx in the test suite. * :ghpull:`4622`: make QtConsole Lexer configurable * :ghpull:`4594`: Fixed #2923 Move Save Away from Cut in toolbar * :ghpull:`4593`: don't interfere with set_next_input contents in qtconsole * :ghpull:`4640`: Support matplotlib's Gtk3 backend in --pylab mode * :ghpull:`4639`: Minor import fix to get qtconsole with --pylab=qt working * :ghpull:`4637`: Fixed typo in links.txt. * :ghpull:`4634`: Fix nbrun in notebooks with non-code cells. * :ghpull:`4632`: Restore the ability to run tests from a function. * :ghpull:`4624`: Fix crash when $EDITOR is non-ASCII * :ghpull:`4453`: Play nice with App Nap * :ghpull:`4541`: relax ipconfig matching on Windows * :ghpull:`4552`: add pickleutil.use_dill * :ghpull:`4590`: Font awesome for IPython slides * :ghpull:`4589`: Inherit the width of pre code inside the input code cells. * :ghpull:`4588`: Update reveal.js CDN to 2.5.0. * :ghpull:`4569`: store cell toolbar preset in notebook metadata * :ghpull:`4609`: Fix bytes regex for Python 3. * :ghpull:`4581`: Writing unicode to stdout * :ghpull:`4591`: Documenting codemirror shorcuts. * :ghpull:`4607`: Tutorial doc should link to user config intro * :ghpull:`4601`: test that rename fails with 409 if it would clobber * :ghpull:`4599`: re-cast int/float subclasses to int/float in json_clean * :ghpull:`4542`: new `ipython history clear` subcommand * :ghpull:`4568`: don't use lazily-evaluated rc.ids in wait_for_idle * :ghpull:`4572`: DOC: %profile docstring should reference %prun * :ghpull:`4571`: no longer need 3 suffix on travis, tox * :ghpull:`4566`: Fixing cell_type in CodeCell constructor. * :ghpull:`4563`: Specify encoding for reading notebook file. * :ghpull:`4452`: support notebooks in %run * :ghpull:`4546`: fix warning condition on notebook startup * :ghpull:`4540`: Apidocs3 * :ghpull:`4553`: Fix Python 3 handling of urllib * :ghpull:`4543`: make hiding of initial namespace optional * :ghpull:`4517`: send shutdown_request on exit of `ipython console` * :ghpull:`4528`: improvements to bash completion * :ghpull:`4532`: Hide dynamically defined metaclass base from Sphinx. * :ghpull:`4515`: Spring Cleaning, and Load speedup * :ghpull:`4529`: note routing identities needed for input requests * :ghpull:`4514`: allow restart in `%run -d` * :ghpull:`4527`: add redirect for 1.0-style 'files/' prefix links * :ghpull:`4526`: Allow unicode arguments to passwd_check on Python 2 * :ghpull:`4403`: Global highlight language selection. * :ghpull:`4250`: outputarea.js: Wrap inline SVGs inside an iframe * :ghpull:`4521`: Read wav files in binary mode * :ghpull:`4444`: Css cleaning * :ghpull:`4523`: Use username and password for MongoDB on ShiningPanda * :ghpull:`4510`: Update whatsnew from PR files * :ghpull:`4441`: add `setup.py jsversion` * :ghpull:`4518`: Fix for race condition in url file decoding. * :ghpull:`4497`: don't automatically unpack datetime objects in the message spec * :ghpull:`4506`: wait for empty queues as well as load-balanced tasks * :ghpull:`4492`: Configuration docs refresh * :ghpull:`4508`: Fix some uses of map() in Qt console completion code. * :ghpull:`4498`: Daemon StreamCapturer * :ghpull:`4499`: Skip clipboard test on unix systems if headless. * :ghpull:`4460`: Better clipboard handling, esp. with pywin32 * :ghpull:`4496`: Pass nbformat object to write call to save .py script * :ghpull:`4466`: various pandoc latex fixes * :ghpull:`4473`: Setup for Python 2/3 * :ghpull:`4459`: protect against broken repr in lib.pretty * :ghpull:`4457`: Use ~/.ipython as default config directory * :ghpull:`4489`: check realpath of env in init_virtualenv * :ghpull:`4490`: fix possible race condition in test_await_data * :ghpull:`4476`: Fix: Remove space added by display(JavaScript) on page reload * :ghpull:`4398`: [Notebook] Deactivate tooltip on tab by default. * :ghpull:`4480`: Docs shotgun 2 * :ghpull:`4488`: fix typo in message spec doc * :ghpull:`4479`: yet another JS race condition fix * :ghpull:`4477`: Allow incremental builds of the html_noapi docs target * :ghpull:`4470`: Various Config object cleanups * :ghpull:`4410`: make close-and-halt work on new tabs in Chrome * :ghpull:`4469`: Python 3 & getcwdu * :ghpull:`4451`: fix: allow JS test to run after shutdown test * :ghpull:`4456`: Simplify StreamCapturer for subprocess testing * :ghpull:`4464`: Correct description for Bytes traitlet type * :ghpull:`4465`: Clean up MANIFEST.in * :ghpull:`4461`: Correct TypeError message in svg2pdf * :ghpull:`4458`: use signalstatus if exit status is undefined * :ghpull:`4438`: Single codebase Python 3 support (again) * :ghpull:`4198`: Version conversion, support for X to Y even if Y < X (nbformat) * :ghpull:`4415`: More tooltips in the Notebook menu * :ghpull:`4450`: remove monkey patch for older versions of tornado * :ghpull:`4423`: Fix progress bar and scrolling bug. * :ghpull:`4435`: raise 404 on not found static file * :ghpull:`4442`: fix and add shim for change introduce by #4195 * :ghpull:`4436`: allow `require("nbextensions/extname")` to load from IPYTHONDIR/nbextensions * :ghpull:`4437`: don't compute etags in static file handlers * :ghpull:`4427`: notebooks should always have one checkpoint * :ghpull:`4425`: fix js pythonisme * :ghpull:`4195`: IPEP 21: widget messages * :ghpull:`4434`: Fix broken link for Dive Into Python. * :ghpull:`4428`: bump minimum tornado version to 3.1.0 * :ghpull:`4302`: Add an Audio display class * :ghpull:`4285`: Notebook javascript test suite using CasperJS * :ghpull:`4420`: Allow checking for backports via milestone * :ghpull:`4426`: set kernel cwd to notebook's directory * :ghpull:`4389`: By default, Magics inherit from Configurable * :ghpull:`4393`: Capture output from subprocs during test, and display on failure * :ghpull:`4419`: define InlineBackend configurable in its own file * :ghpull:`4303`: Multidirectory support for the Notebook * :ghpull:`4371`: Restored ipython profile locate dir and fixed typo. (Fixes #3708). * :ghpull:`4414`: Specify unicode type properly in rmagic * :ghpull:`4413`: don't instantiate IPython shell as class attr * :ghpull:`4400`: Remove 5s wait on inactivity on GUI inputhook loops * :ghpull:`4412`: Fix traitlet _notify_trait by-ref issue * :ghpull:`4378`: split adds new cell above, rather than below * :ghpull:`4405`: Bring display of builtin types and functions in line with Py 2 * :ghpull:`4367`: clean up of documentation files * :ghpull:`4401`: Provide a name of the HistorySavingThread * :ghpull:`4384`: fix menubar height measurement * :ghpull:`4377`: fix tooltip cancel * :ghpull:`4293`: Factorise code in tooltip for julia monkeypatching * :ghpull:`4292`: improve js-completer logic. * :ghpull:`4363`: set_next_input: keep only last input when repeatedly called in a single cell * :ghpull:`4382`: Use safe_hasattr in dir2 * :ghpull:`4379`: fix (CTRL-M -) shortcut for splitting cell in FF * :ghpull:`4380`: Test and fixes for localinterfaces * :ghpull:`4372`: Don't assume that SyntaxTB is always called with a SyntaxError * :ghpull:`4342`: Return value directly from the try block and avoid a variable * :ghpull:`4154`: Center LaTeX and figures in markdown * :ghpull:`4311`: %load -s to load specific functions or classes * :ghpull:`4350`: WinHPC launcher fixes * :ghpull:`4345`: Make irunner compatible with upcoming pexpect 3.0 interface * :ghpull:`4276`: Support container methods in config * :ghpull:`4359`: test_pylabtools also needs to modify matplotlib.rcParamsOrig * :ghpull:`4355`: remove hardcoded box-orient * :ghpull:`4333`: Add Edit Notebook Metadata to Edit menu * :ghpull:`4349`: Script to update What's New file * :ghpull:`4348`: Call PDF viewer after latex compiling (nbconvert) * :ghpull:`4346`: getpass() on Windows & Python 2 needs bytes prompt * :ghpull:`4304`: use netifaces for faster IPython.utils.localinterfaces * :ghpull:`4305`: Add even more ways to populate localinterfaces * :ghpull:`4313`: remove strip_math_space * :ghpull:`4325`: Some changes to improve readability. * :ghpull:`4281`: Adjust tab completion widget if too close to bottom of page. * :ghpull:`4347`: Remove pycolor script * :ghpull:`4322`: Scroll to the top after change of slides in the IPython slides * :ghpull:`4289`: Fix scrolling output (not working post clear_output changes) * :ghpull:`4343`: Make parameters for kernel start method more general * :ghpull:`4237`: Keywords should shadow magic functions * :ghpull:`4338`: adjust default value of level in sync_imports * :ghpull:`4328`: Remove unused loop variable. * :ghpull:`4340`: fix mathjax download url to new GitHub format * :ghpull:`4336`: use simple replacement rather than string formatting in format_kernel_cmd * :ghpull:`4264`: catch unicode error listing profiles * :ghpull:`4314`: catch EACCES when binding notebook app * :ghpull:`4324`: Remove commented addthis toolbar * :ghpull:`4327`: Use the with statement to open a file. * :ghpull:`4318`: fix initial sys.path * :ghpull:`4315`: Explicitly state what version of Pandoc is supported in docs/install * :ghpull:`4316`: underscore missing on notebook_p4 * :ghpull:`4295`: Implement boundary option for load magic (#1093) * :ghpull:`4300`: traits defauts are strings not object * :ghpull:`4297`: Remove an unreachable return statement. * :ghpull:`4260`: Use subprocess for system_raw * :ghpull:`4277`: add nbextensions * :ghpull:`4294`: don't require tornado 3 in `--post serve` * :ghpull:`4270`: adjust Scheduler timeout logic * :ghpull:`4278`: add `-a` to easy_install command in libedit warning * :ghpull:`4282`: Enable automatic line breaks in MathJax. * :ghpull:`4279`: Fixing line-height of list items in tree view. * :ghpull:`4253`: fixes #4039. * :ghpull:`4131`: Add module's name argument in %%cython magic * :ghpull:`4269`: Add mathletters option and longtable package to latex_base.tplx * :ghpull:`4230`: Switch correctly to the user's default matplotlib backend after inline. * :ghpull:`4271`: Hopefully fix ordering of output on ShiningPanda * :ghpull:`4239`: more informative error message for bad serialization * :ghpull:`4263`: Fix excludes for IPython.testing * :ghpull:`4112`: nbconvert: Latex template refactor * :ghpull:`4261`: Fixing a formatting error in the custom display example notebook. * :ghpull:`4259`: Fix Windows test exclusions * :ghpull:`4229`: Clear_output: Animation & widget related changes. * :ghpull:`4151`: Refactor alias machinery * :ghpull:`4153`: make timeit return an object that contains values * :ghpull:`4258`: to-backport label is now 1.2 * :ghpull:`4242`: Allow passing extra arguments to iptest through for nose * :ghpull:`4257`: fix unicode argv parsing * :ghpull:`4166`: avoid executing code in utils.localinterfaces at import time * :ghpull:`4214`: engine ID metadata should be unicode, not bytes * :ghpull:`4232`: no highlight if no language specified * :ghpull:`4218`: Fix display of SyntaxError when .py file is modified * :ghpull:`4207`: add `setup.py css` command * :ghpull:`4224`: clear previous callbacks on execute * :ghpull:`4180`: Iptest refactoring * :ghpull:`4105`: JS output area misaligned * :ghpull:`4220`: Various improvements to docs formatting * :ghpull:`4187`: Select adequate highlighter for cell magic languages * :ghpull:`4228`: update -dev docs to reflect latest stable version * :ghpull:`4219`: Drop bundled argparse * :ghpull:`3851`: Adds an explicit newline for pretty-printing. * :ghpull:`3622`: Drop fakemodule * :ghpull:`4080`: change default behavior of database task storage * :ghpull:`4197`: enable cython highlight in notebook * :ghpull:`4225`: Updated docstring for core.display.Image * :ghpull:`4175`: nbconvert: Jinjaless exporter base * :ghpull:`4208`: Added a lightweight "htmlcore" Makefile entry * :ghpull:`4209`: Magic doc fixes * :ghpull:`4217`: avoid importing numpy at the module level * :ghpull:`4213`: fixed dead link in examples/notebooks readme to Part 3 * :ghpull:`4183`: ESC should be handled by CM if tooltip is not on * :ghpull:`4193`: Update for #3549: Append Firefox overflow-x fix * :ghpull:`4205`: use TextIOWrapper when communicating with pandoc subprocess * :ghpull:`4204`: remove some extraneous print statements from IPython.parallel * :ghpull:`4201`: HeadingCells cannot be split or merged * :ghpull:`4048`: finish up speaker-notes PR * :ghpull:`4079`: trigger `Kernel.status_started` after websockets open * :ghpull:`4186`: moved DummyMod to proper namespace to enable dill pickling * :ghpull:`4190`: update version-check message in setup.py and IPython.__init__ * :ghpull:`4188`: Allow user_ns trait to be None * :ghpull:`4189`: always fire LOCAL_IPS.extend(PUBLIC_IPS) * :ghpull:`4174`: various issues in markdown and rst templates * :ghpull:`4178`: add missing data_javascript * :ghpull:`4168`: Py3 failing tests * :ghpull:`4181`: nbconvert: Fix, sphinx template not removing new lines from headers * :ghpull:`4043`: don't 'restore_bytes' in from_JSON * :ghpull:`4149`: reuse more kernels in kernel tests * :ghpull:`4163`: Fix for incorrect default encoding on Windows. * :ghpull:`4136`: catch javascript errors in any output * :ghpull:`4171`: add nbconvert config file when creating profiles * :ghpull:`4172`: add ability to check what PRs should be backported in backport_pr * :ghpull:`4167`: --fast flag for test suite! * :ghpull:`4125`: Basic exercise of `ipython [subcommand] -h` and help-all * :ghpull:`4085`: nbconvert: Fix sphinx preprocessor date format string for Windows * :ghpull:`4159`: don't split `.cell` and `div.cell` CSS * :ghpull:`4165`: Remove use of parametric tests * :ghpull:`4158`: generate choices for `--gui` configurable from real mapping * :ghpull:`4083`: Implement a better check for hidden values for %who etc. * :ghpull:`4147`: Reference notebook examples, fixes #4146. * :ghpull:`4065`: do not include specific css in embedable one * :ghpull:`4092`: nbconvert: Fix for unicode html headers, Windows + Python 2.x * :ghpull:`4074`: close Client sockets if connection fails * :ghpull:`4064`: Store default codemirror mode in only 1 place * :ghpull:`4104`: Add way to install MathJax to a particular profile * :ghpull:`4161`: Select name when renaming a notebook * :ghpull:`4160`: Add quotes around ".[notebook]" in readme * :ghpull:`4144`: help_end transformer shouldn't pick up ? in multiline string * :ghpull:`4090`: Add LaTeX citation handling to nbconvert * :ghpull:`4143`: update example custom.js * :ghpull:`4142`: DOC: unwrap openssl line in public_server doc * :ghpull:`4126`: update tox.ini * :ghpull:`4141`: add files with a separate `add` call in backport_pr * :ghpull:`4137`: Restore autorestore option for storemagic * :ghpull:`4098`: pass profile-dir instead of profile name to Kernel * :ghpull:`4120`: support `input` in Python 2 kernels * :ghpull:`4088`: nbconvert: Fix coalescestreams line with incorrect nesting causing strange behavior * :ghpull:`4060`: only strip continuation prompts if regular prompts seen first * :ghpull:`4132`: Fixed name error bug in function safe_unicode in module py3compat. * :ghpull:`4121`: move test_kernel from IPython.zmq to IPython.kernel * :ghpull:`4118`: ZMQ heartbeat channel: catch EINTR exceptions and continue. * :ghpull:`4070`: New changes should go into pr/ folder * :ghpull:`4054`: use unicode for HTML export * :ghpull:`4106`: fix a couple of default block values * :ghpull:`4107`: update parallel magic tests with capture_output API * :ghpull:`4102`: Fix clashes between debugger tests and coverage.py * :ghpull:`4115`: Update docs on declaring a magic function * :ghpull:`4101`: restore accidentally removed EngineError * :ghpull:`4096`: minor docs changes * :ghpull:`4094`: Update target branch before backporting PR * :ghpull:`4069`: Drop monkeypatch for pre-1.0 nose * :ghpull:`4056`: respect `pylab_import_all` when `--pylab` specified at the command-line * :ghpull:`4091`: Make Qt console banner configurable * :ghpull:`4086`: fix missing errno import * :ghpull:`4084`: Use msvcrt.getwch() for Windows pager. * :ghpull:`4073`: rename ``post_processors`` submodule to ``postprocessors`` * :ghpull:`4075`: Update supported Python versions in tools/test_pr * :ghpull:`4068`: minor bug fix, define 'cell' in dialog.js. * :ghpull:`4044`: rename call methods to transform and postprocess * :ghpull:`3744`: capture rich output as well as stdout/err in capture_output * :ghpull:`3969`: "use strict" in most (if not all) our javascript * :ghpull:`4030`: exclude `.git` in MANIFEST.in * :ghpull:`4047`: Use istype() when checking if canned object is a dict * :ghpull:`4031`: don't close_fds on Windows * :ghpull:`4029`: bson.Binary moved * :ghpull:`3883`: skip test on unix when x11 not available * :ghpull:`3863`: Added working speaker notes for slides. * :ghpull:`4035`: Fixed custom jinja2 templates being ignored when setting template_path * :ghpull:`4002`: Drop Python 2.6 and 3.2 * :ghpull:`4026`: small doc fix in nbconvert * :ghpull:`4016`: Fix IPython.start_* functions * :ghpull:`4021`: Fix parallel.client.View map() on numpy arrays * :ghpull:`4022`: DOC: fix links to matplotlib, notebook docs * :ghpull:`4018`: Fix warning when running IPython.kernel tests * :ghpull:`4017`: Add REPL-like printing of final/return value to %%R cell magic * :ghpull:`4019`: Test skipping without unicode paths * :ghpull:`4008`: Transform code before %prun/%%prun runs * :ghpull:`4014`: Fix typo in ipapp * :ghpull:`3997`: DOC: typos + rewording in examples/notebooks/Cell Magics.ipynb * :ghpull:`3914`: nbconvert: Transformer tests * :ghpull:`3987`: get files list in backport_pr * :ghpull:`3923`: nbconvert: Writer tests * :ghpull:`3974`: nbconvert: Fix app tests on Window7 w/ Python 3.3 * :ghpull:`3937`: make tab visible in codemirror and light red background * :ghpull:`3933`: nbconvert: Post-processor tests * :ghpull:`3978`: fix `--existing` with non-localhost IP * :ghpull:`3939`: minor checkpoint cleanup * :ghpull:`3955`: complete on % for magic in notebook * :ghpull:`3981`: BF: fix nbconert rst input prompt spacing * :ghpull:`3960`: Don't make sphinx a dependency for importing nbconvert * :ghpull:`3973`: logging.Formatter is not new-style in 2.6 Issues (434): * :ghissue:`5476`: For 2.0: Fix links in Notebook Help Menu * :ghissue:`5337`: Examples reorganization * :ghissue:`5436`: CodeMirror shortcuts in QuickHelp * :ghissue:`5444`: Fix numeric verification for Int and Float text widgets. * :ghissue:`5443`: Int and Float Widgets don't allow negative signs * :ghissue:`5449`: Stretch keyboard shortcut dialog * :ghissue:`5471`: Add coding magic comment to nbconvert Python template * :ghissue:`5470`: UTF-8 Issue When Converting Notebook to a Script. * :ghissue:`5369`: FormatterWarning for SVG matplotlib output in notebook * :ghissue:`5460`: Can't start the notebook server specifying a notebook * :ghissue:`2918`: CodeMirror related issues. * :ghissue:`5431`: update github_stats and gh_api for 2.0 * :ghissue:`4887`: Add tests for modal UI * :ghissue:`5290`: Add dual mode JS tests * :ghissue:`5448`: Cmd+/ shortcut doesn't work in IPython master * :ghissue:`5447`: Add %%python2 cell magic * :ghissue:`5442`: Make a "python2" alias or rename the "python"cell magic. * :ghissue:`2495`: non-ascii characters in the path * :ghissue:`4554`: dictDB: Exception due to str to datetime comparission * :ghissue:`5006`: Comm code is not run in the same context as notebook code * :ghissue:`5118`: Weird interact behavior * :ghissue:`5401`: Empty code cells in nbconvert rst output cause problems * :ghissue:`5434`: fix check for empty cells in rst template * :ghissue:`4944`: Trouble finding ipynb path in Windows 8 * :ghissue:`4605`: Change the url of Editor Shorcuts in the notebook menu. * :ghissue:`5425`: Update COPYING.txt * :ghissue:`5348`: BUG: HistoryAccessor.get_session_info(0) - exception * :ghissue:`5293`: Javascript("element.append()") looks broken. * :ghissue:`5363`: Disable saving if notebook has stopped loading * :ghissue:`5189`: Tooltip pager mode is broken * :ghissue:`5330`: Updates to shell reference doc * :ghissue:`5397`: Accordion widget broken * :ghissue:`5106`: Flexbox CSS specificity bugs * :ghissue:`5297`: tooltip triggers focus bug * :ghissue:`5417`: scp checking for existence of directories: directory names are incorrect * :ghissue:`5302`: Parallel engine registration fails for slow engines * :ghissue:`5334`: notebook's split-cell shortcut dangerous / incompatible with Neo layout (for instance) * :ghissue:`5324`: Style of `raw_input` UI is off in notebook * :ghissue:`5350`: Converting notebooks with spaces in their names to RST gives broken images * :ghissue:`5049`: update quickhelp on adding and removing shortcuts * :ghissue:`4941`: Eliminating display of intermediate stages in progress bars * :ghissue:`5345`: nbconvert to markdown does not use backticks * :ghissue:`5357`: catch exception in copystat * :ghissue:`5351`: Notebook saving fails on smb share * :ghissue:`4946`: TeX produced cannot be converted to PDF * :ghissue:`5347`: pretty print list too slow * :ghissue:`5238`: Raw cell placeholder is not removed when you edit the cell * :ghissue:`5382`: Qtconsole doesn't run in Python 3 * :ghissue:`5378`: Unexpected and new conflict between PyFileConfigLoader and IPythonQtConsoleApp * :ghissue:`4945`: Heading/cells positioning problem and cell output wrapping * :ghissue:`5084`: Consistent approach for HTML/JS output on nbviewer * :ghissue:`4902`: print preview does not work, custom.css not found * :ghissue:`5336`: TypeError in bootstrap-tour.min.js * :ghissue:`5303`: Changed Hub.registration_timeout to be a config input. * :ghissue:`995`: Paste-able mode in terminal * :ghissue:`5305`: Tuple unpacking for shell escape * :ghissue:`5232`: Make nbconvert html full output like notebook's html. * :ghissue:`5224`: Audit nbconvert HTML output * :ghissue:`5253`: display any output from this session in terminal console * :ghissue:`5251`: ipython console ignoring some stream messages? * :ghissue:`4802`: Tour of the notebook UI (was UI elements inline with highlighting) * :ghissue:`5103`: Moving Constructor definition to the top like a Function definition * :ghissue:`5264`: Test failures on master with Anaconda * :ghissue:`4833`: Serve /usr/share/javascript at /_sysassets/javascript/ in notebook * :ghissue:`5071`: Prevent %pylab from clobbering interactive * :ghissue:`5282`: Exception in widget __del__ methods in Python 3.4. * :ghissue:`5280`: append Firefox overflow-x fix * :ghissue:`5120`: append Firefox overflow-x fix, again * :ghissue:`4127`: autoreload shouldn't rely on .pyc modification times * :ghissue:`5272`: allow highlighting language to be set from notebook metadata * :ghissue:`5050`: Notebook cells truncated with Firefox * :ghissue:`4839`: Error in Session.send_raw() * :ghissue:`5188`: New events system * :ghissue:`5076`: Refactor keyboard handling * :ghissue:`4886`: Refactor and consolidate different keyboard logic in JavaScript code * :ghissue:`5002`: the green cell border moving forever in Chrome, when there are many code cells. * :ghissue:`5259`: Codemirror still active in command mode * :ghissue:`5219`: Output images appear as small thumbnails (Notebook) * :ghissue:`4829`: Not able to connect qtconsole in Windows 8 * :ghissue:`5152`: Hide __pycache__ in dashboard directory list * :ghissue:`5151`: Case-insesitive sort for dashboard list * :ghissue:`4603`: Warn when overwriting a notebook with upload * :ghissue:`4895`: Improvements to %run completions * :ghissue:`3459`: Filename completion when run script with %run * :ghissue:`5225`: Add JavaScript to nbconvert HTML display priority * :ghissue:`5034`: Audit the places where we call `.html(something)` * :ghissue:`5094`: Dancing cells in notebook * :ghissue:`4999`: Notebook focus effects * :ghissue:`5149`: Clicking on a TextBoxWidget in FF completely breaks dual mode. * :ghissue:`5207`: Children fire event * :ghissue:`5227`: display_method of objects with custom __getattr__ * :ghissue:`5236`: Cursor keys do not work to leave Markdown cell while it's being edited * :ghissue:`5205`: Use CTuple traitlet for Widget children * :ghissue:`5230`: notebook rename does not respect url prefix * :ghissue:`5218`: Test failures with Python 3 and enabled warnings * :ghissue:`5115`: Page Breaks for Print Preview Broken by display: flex - Simple CSS Fix * :ghissue:`5024`: Make nbconvert HTML output smart about page breaking * :ghissue:`4985`: Add automatic Closebrackets function to Codemirror. * :ghissue:`5184`: print '\xa' crashes the interactive shell * :ghissue:`5214`: Downloading notebook as Python (.py) fails * :ghissue:`5211`: AttributeError: 'module' object has no attribute '_outputfile' * :ghissue:`5206`: [CSS?] Inconsistencies in nbconvert divs and IPython Notebook divs? * :ghissue:`5201`: node != nodejs within Debian packages * :ghissue:`5112`: band-aid for completion * :ghissue:`4860`: Completer As-You-Type Broken * :ghissue:`5116`: reorganize who knows what about paths * :ghissue:`4973`: Adding security.js with 1st attempt at is_safe * :ghissue:`5164`: test_oinspect.test_calltip_builtin failure with python3.4 * :ghissue:`5127`: Widgets: skip intermediate callbacks during throttling * :ghissue:`5013`: Widget alignment differs between FF and Chrome * :ghissue:`5141`: tornado error static file * :ghissue:`5160`: TemporaryWorkingDirectory incompatible with python3.4 * :ghissue:`5140`: WIP: %kernels magic * :ghissue:`4987`: Widget lifecycle problems * :ghissue:`5129`: UCS package break latex export on non-ascii * :ghissue:`4986`: Cell horizontal scrollbar is missing in FF but not in Chrome * :ghissue:`4685`: nbconvert ignores image size metadata * :ghissue:`5155`: Notebook logout button does not work (source typo) * :ghissue:`2678`: Ctrl-m keyboard shortcut clash on Chrome OS * :ghissue:`5113`: ButtonWidget without caption wrong height. * :ghissue:`4778`: add APIs for installing notebook extensions * :ghissue:`5046`: python setup.py failed vs git submodule update worked * :ghissue:`4925`: Notebook manager api fixes * :ghissue:`5073`: Cannot align widgets horizontally in the notebook * :ghissue:`4996`: require print_method to be a bound method * :ghissue:`4990`: _repr_html_ exception reporting corner case when using type(foo) * :ghissue:`5099`: Notebook: Changing base_project_url results in failed WebSockets call * :ghissue:`5096`: Client.map is not fault tolerant * :ghissue:`4997`: Inconsistent %matplotlib qt behavior * :ghissue:`5041`: Remove more .html(...) calls. * :ghissue:`5078`: Updating JS tests README.md * :ghissue:`4977`: ensure scp destination directories exist (with mkdir -p) * :ghissue:`3411`: ipython parallel: scp failure. * :ghissue:`5064`: Errors during interact display at the terminal, not anywhere in the notebook * :ghissue:`4921`: Add PDF formatter and handling * :ghissue:`4920`: Adding PDFFormatter and kernel side handling of PDF display data * :ghissue:`5048`: Add edit/command mode indicator * :ghissue:`4889`: Add UI element for indicating command/edit modes * :ghissue:`5052`: Add q to toggle the pager. * :ghissue:`5000`: Closing pager with keyboard in modal UI * :ghissue:`5069`: Box model changes broke the Keyboard Shortcuts help modal * :ghissue:`4960`: Interact/Interactive for widget * :ghissue:`4883`: Implement interact/interactive for widgets * :ghissue:`5038`: Fix multiple press keyboard events * :ghissue:`5054`: UnicodeDecodeError: 'ascii' codec can't decode byte 0xc6 in position 1: ordinal not in range(128) * :ghissue:`5031`: Bug during integration of IPython console in Qt application * :ghissue:`5057`: iopubwatcher.py example is broken. * :ghissue:`4747`: Add event for output_area adding an output * :ghissue:`5001`: Add directory navigation to dashboard * :ghissue:`5016`: Help menu external-link icons break layout in FF * :ghissue:`4885`: Modal UI behavior changes * :ghissue:`5009`: notebook signatures don't work * :ghissue:`4975`: setup.py changes for 2.0 * :ghissue:`4774`: emit event on appended element on dom * :ghissue:`5020`: Python Lists translated to javascript objects in widgets * :ghissue:`5003`: Fix pretty reprs of super() objects * :ghissue:`5012`: Make `SelectionWidget.values` a dict * :ghissue:`4961`: Bug when constructing a selection widget with both values and labels * :ghissue:`4283`: A `<` in a markdown cell strips cell content when converting to latex * :ghissue:`4006`: iptest IPython broken * :ghissue:`4251`: & escaped to & in tex ? * :ghissue:`5027`: pin lessc to 1.4 * :ghissue:`4323`: Take 2: citation2latex filter (using HTMLParser) * :ghissue:`4196`: Printing notebook from browser gives 1-page truncated output * :ghissue:`4842`: more subtle kernel indicator * :ghissue:`4057`: No path to notebook examples from Help menu * :ghissue:`5015`: don't write cell.trusted to disk * :ghissue:`4617`: Changed url link in Help dropdown menu. * :ghissue:`4976`: Container widget layout broken on Firefox * :ghissue:`4981`: Vertical slider layout broken * :ghissue:`4793`: Message spec changes related to `clear_output` * :ghissue:`4982`: Live readout for slider widgets * :ghissue:`4813`: make help menu a template * :ghissue:`4989`: Filename tab completion completely broken * :ghissue:`1380`: Tab should insert 4 spaces in # comment lines * :ghissue:`2888`: spaces vs tabs * :ghissue:`1193`: Allow resizing figures in notebook * :ghissue:`4504`: Allow input transformers to raise SyntaxError * :ghissue:`4697`: Problems with height after toggling header and toolbar... * :ghissue:`4951`: TextWidget to code cell command mode bug. * :ghissue:`4809`: Arbitrary scrolling (jumping) in clicks in modal UI for notebook * :ghissue:`4971`: Fixing issues with js tests * :ghissue:`4972`: Work around problem in doctest discovery in Python 3.4 with PyQt * :ghissue:`4892`: IPython.qt test failure with python3.4 * :ghissue:`4863`: BUG: cannot create an OBJECT array from memory buffer * :ghissue:`4704`: Subcommand `profile` ignores --ipython-dir * :ghissue:`4845`: Add Origin Checking. * :ghissue:`4870`: ipython_directive, report except/warn in block and add :okexcept: :okwarning: options to suppress * :ghissue:`4956`: Shift-Enter does not move to next cell * :ghissue:`4662`: Menu cleanup * :ghissue:`4824`: sign notebooks * :ghissue:`4848`: avoid import of nearby temporary with %edit * :ghissue:`4731`: %edit files mistakenly import modules in /tmp * :ghissue:`4950`: Two fixes for file upload related bugs * :ghissue:`4871`: Notebook upload fails after Delete * :ghissue:`4825`: File Upload URL set incorrectly * :ghissue:`3867`: display.FileLinks should work in the exported html verion of a notebook * :ghissue:`4948`: reveal: ipython css overrides reveal themes * :ghissue:`4947`: reveal: slides that are too big? * :ghissue:`4051`: Test failures with Python 3 and enabled warnings * :ghissue:`3633`: outstanding issues over in ipython/nbconvert repo * :ghissue:`4087`: Sympy printing in the example notebook * :ghissue:`4627`: Document various QtConsole embedding approaches. * :ghissue:`4849`: Various unicode fixes (mostly on Windows) * :ghissue:`3653`: autocompletion in "from package import " * :ghissue:`4583`: overwrite? prompt gets EOFError in 2 process * :ghissue:`4807`: Correct handling of ansi colour codes when nbconverting to latex * :ghissue:`4611`: Document how to compile .less files in dev docs. * :ghissue:`4618`: "Editor Shortcuts" link is broken in help menu dropdown notebook * :ghissue:`4522`: DeprecationWarning: the sets module is deprecated * :ghissue:`4368`: No symlink from ipython to ipython3 when inside a python3 virtualenv * :ghissue:`4234`: Math without $$ doesn't show up when converted to slides * :ghissue:`4194`: config.TerminalIPythonApp.nosep does not work * :ghissue:`1491`: prefilter not called for multi-line notebook cells * :ghissue:`4001`: Windows IPython executable /scripts/ipython not working * :ghissue:`3959`: think more carefully about text wrapping in nbconvert * :ghissue:`4907`: Test for traceback depth fails on Windows * :ghissue:`4906`: Test for IPython.embed() fails on Windows * :ghissue:`4912`: Skip some Windows io failures * :ghissue:`3700`: stdout/stderr should be flushed printing exception output... * :ghissue:`1181`: greedy completer bug in terminal console * :ghissue:`2032`: check for a few places we should be using DEFAULT_ENCODING * :ghissue:`4882`: Too many files open when starting and stopping kernel repeatedly * :ghissue:`4880`: set profile name from profile_dir * :ghissue:`4238`: parallel.Client() not using profile that notebook was run with? * :ghissue:`4853`: fix setting image height/width from metadata * :ghissue:`4786`: Reduce spacing of heading cells * :ghissue:`4680`: Minimal pandoc version warning * :ghissue:`3707`: nbconvert: Remove IPython magic commands from --format="python" output * :ghissue:`4130`: PDF figures as links from png or svg figures * :ghissue:`3919`: Allow --profile to be passed a dir. * :ghissue:`2136`: Handle hard newlines in pretty printer * :ghissue:`4790`: Notebook modal UI: "merge cell below" key binding, `shift+=`, does not work with some keyboard layouts * :ghissue:`4884`: Keyboard shortcut changes * :ghissue:`1184`: slow handling of keyboard input * :ghissue:`4913`: Mathjax, Markdown, tex, env* and italic * :ghissue:`3972`: nbconvert: Template output testing * :ghissue:`4903`: use https for all embeds * :ghissue:`4874`: --debug does not work if you set .kernel_cmd * :ghissue:`4679`: JPG compression for inline pylab * :ghissue:`4708`: Fix indent and center * :ghissue:`4789`: fix IPython.embed * :ghissue:`4759`: Application._load_config_files log parameter default fails * :ghissue:`3153`: docs / file menu: explain how to exit the notebook * :ghissue:`4791`: Did updates to ipython_directive bork support for cython magic snippets? * :ghissue:`4385`: "Part 4 - Markdown Cells.ipynb" nbviewer example seems not well referenced in current online documentation page http://ipython.org/ipython-doc/stable/interactive/notebook.htm * :ghissue:`4655`: prefer marked to pandoc for markdown2html * :ghissue:`3441`: Fix focus related problems in the notebook * :ghissue:`3402`: Feature Request: Save As (latex, html,..etc) as a menu option in Notebook rather than explicit need to invoke nbconvert * :ghissue:`3224`: Revisit layout of notebook area * :ghissue:`2746`: rerunning a cell with long output (exception) scrolls to much (html notebook) * :ghissue:`2667`: can't save opened notebook if accidently delete the notebook in the dashboard * :ghissue:`3026`: Reporting errors from _repr__ methods * :ghissue:`1844`: Notebook does not exist and permalinks * :ghissue:`2450`: [closed PR] Prevent jumping of window to input when output is clicked. * :ghissue:`3166`: IPEP 16: Notebook multi directory dashboard and URL mapping * :ghissue:`3691`: Slight misalignment of Notebook menu bar with focus box * :ghissue:`4875`: Empty tooltip with `object_found = false` still being shown * :ghissue:`4432`: The SSL cert for the MathJax CDN is invalid and URL is not protocol agnostic * :ghissue:`2633`: Help text should leave current cell active * :ghissue:`3976`: DOC: Pandas link on the notebook help menu? * :ghissue:`4082`: /new handler redirect cached by browser * :ghissue:`4298`: Slow ipython --pylab and ipython notebook startup * :ghissue:`4545`: %store magic not working * :ghissue:`4610`: toolbar UI enhancements * :ghissue:`4782`: New modal UI * :ghissue:`4732`: Accents in notebook names and in command-line (nbconvert) * :ghissue:`4752`: link broken in docs/examples * :ghissue:`4835`: running ipython on python files adds an extra traceback frame * :ghissue:`4792`: repr_html exception warning on qtconsole with pandas #4745 * :ghissue:`4834`: function tooltip issues * :ghissue:`4808`: Docstrings in Notebook not displayed properly and introspection * :ghissue:`4846`: Remove some leftover traces of irunner * :ghissue:`4810`: ipcluster bug in clean_logs flag * :ghissue:`4812`: update CodeMirror for the notebook * :ghissue:`671`: add migration guide for old IPython config * :ghissue:`4783`: ipython 2dev under windows / (win)python 3.3 experiment * :ghissue:`4772`: Notebook server info files * :ghissue:`4765`: missing build script for highlight.js * :ghissue:`4787`: non-python kernels run python code with qtconsole * :ghissue:`4703`: Math macro in jinja templates. * :ghissue:`4595`: ipython notebook XSS vulnerable * :ghissue:`4776`: Manually document py3compat module. * :ghissue:`4686`: For-in loop on an array in cell.js * :ghissue:`3605`: Modal UI * :ghissue:`4769`: Ipython 2.0 will not startup on py27 on windows * :ghissue:`4482`: reveal.js converter not including CDN by default? * :ghissue:`4761`: ipv6 address triggers cookie exception * :ghissue:`4580`: rename or remove %profile magic * :ghissue:`4643`: Docstring does not open properly * :ghissue:`4714`: Static URLs are not auto-versioned * :ghissue:`2573`: document code mirror keyboard shortcuts * :ghissue:`4717`: hang in parallel.Client when using SSHAgent * :ghissue:`4544`: Clarify the requirement for pyreadline on Windows * :ghissue:`3451`: revisit REST /new handler to avoid systematic crawling. * :ghissue:`2922`: File => Save as '.py' saves magic as code * :ghissue:`4728`: Copy/Paste stripping broken in version > 0.13.x in QTConsole * :ghissue:`4539`: Nbconvert: Latex to PDF conversion fails on notebooks with accented letters * :ghissue:`4721`: purge_results with jobid crashing - looking for insight * :ghissue:`4620`: Notebook with ? in title defies autosave, renaming and deletion. * :ghissue:`4574`: Hash character in notebook name breaks a lot of things * :ghissue:`4709`: input_prefilter hook not called * :ghissue:`1680`: qtconsole should support --no-banner and custom banner * :ghissue:`4689`: IOStream IP address configurable * :ghissue:`4698`: Missing "if __name__ == '__main__':" check in /usr/bin/ipython * :ghissue:`4191`: NBConvert: markdown inline and locally referenced files have incorrect file location for latex * :ghissue:`2865`: %%!? does not display the shell execute docstring * :ghissue:`1551`: Notebook should be saved before printing * :ghissue:`4612`: remove `Configurable.created` ? * :ghissue:`4629`: Lots of tests fail due to space in sys.executable * :ghissue:`4644`: Fixed URLs for notebooks * :ghissue:`4621`: IPython 1.1.0 Qtconsole syntax highlighting highlights python 2 only built-ins when using python 3 * :ghissue:`2923`: Move Delete Button Away from Save Button in the HTML notebook toolbar * :ghissue:`4615`: UnicodeDecodeError * :ghissue:`4431`: ipython slow in os x mavericks? * :ghissue:`4538`: DOC: document how to change ipcontroller-engine.json in case controller was started with --ip="*" * :ghissue:`4551`: Serialize methods and closures * :ghissue:`4081`: [Nbconvert][reveal] link to font awesome ? * :ghissue:`4602`: "ipcluster stop" fails after "ipcluster start --daemonize" using python3.3 * :ghissue:`4578`: NBconvert fails with unicode errors when `--stdout` and file redirection is specified and HTML entities are present * :ghissue:`4600`: Renaming new notebook to an exist name silently deletes the old one * :ghissue:`4598`: Qtconsole docstring pop-up fails on method containing defaulted enum argument * :ghissue:`951`: Remove Tornado monkeypatch * :ghissue:`4564`: Notebook save failure * :ghissue:`4562`: nbconvert: Default encoding problem on OS X * :ghissue:`1675`: add file_to_run=file.ipynb capability to the notebook * :ghissue:`4516`: `ipython console` doesn't send a `shutdown_request` * :ghissue:`3043`: can't restart pdb session in ipython * :ghissue:`4524`: Fix bug with non ascii passwords in notebook login * :ghissue:`1866`: problems rendering an SVG? * :ghissue:`4520`: unicode error when trying Audio('data/Bach Cello Suite #3.wav') * :ghissue:`4493`: Qtconsole cannot print an ISO8601 date at nanosecond precision * :ghissue:`4502`: intermittent parallel test failure test_purge_everything * :ghissue:`4495`: firefox 25.0: notebooks report "Notebook save failed", .py script save fails, but .ipynb save succeeds * :ghissue:`4245`: nbconvert latex: code highlighting causes error * :ghissue:`4486`: Test for whether inside virtualenv does not work if directory is symlinked * :ghissue:`4485`: Incorrect info in "Messaging in IPython" documentation. * :ghissue:`4447`: Ipcontroller broken in current HEAD on windows * :ghissue:`4241`: Audio display object * :ghissue:`4463`: Error on empty c.Session.key * :ghissue:`4454`: UnicodeDecodeError when starting Ipython notebook on a directory containing a file with a non-ascii character * :ghissue:`3801`: Autocompletion: Fix issue #3723 -- ordering of completions for magic commands and variables with same name * :ghissue:`3723`: Code completion: 'matplotlib' and '%matplotlib' * :ghissue:`4396`: Always checkpoint al least once ? * :ghissue:`2524`: [Notebook] Clear kernel queue * :ghissue:`2292`: Client side tests for the notebook * :ghissue:`4424`: Dealing with images in multidirectory environment * :ghissue:`4388`: Make writing configurable magics easier * :ghissue:`852`: Notebook should be saved before downloading * :ghissue:`3708`: ipython profile locate should also work * :ghissue:`1349`: `?` may generate hundreds of cell * :ghissue:`4381`: Using hasattr for trait_names instead of just looking for it directly/using __dir__? * :ghissue:`4361`: Crash Ultratraceback/ session history * :ghissue:`3044`: IPython notebook autocomplete for filename string converts multiple spaces to a single space * :ghissue:`3346`: Up arrow history search shows duplicates in Qtconsole * :ghissue:`3496`: Fix import errors when running tests from the source directory * :ghissue:`4114`: If default profile doesn't exist, can't install mathjax to any location * :ghissue:`4335`: TestPylabSwitch.test_qt fails * :ghissue:`4291`: serve like option for nbconvert --to latex * :ghissue:`1824`: Exception before prompting for password during ssh connection * :ghissue:`4309`: Error in nbconvert - closing tag is not inserted in HTML under some circumstances * :ghissue:`4351`: /parallel/apps/launcher.py error * :ghissue:`3603`: Upcoming issues with nbconvert * :ghissue:`4296`: sync_imports() fails in python 3.3 * :ghissue:`4339`: local mathjax install doesn't work * :ghissue:`4334`: NotebookApp.webapp_settings static_url_prefix causes crash * :ghissue:`4308`: Error when use "ipython notebook" in win7 64 with python2.7.3 64. * :ghissue:`4317`: Relative imports broken in the notebook (Windows) * :ghissue:`3658`: Saving Notebook clears "Kernel Busy" status from the page and titlebar * :ghissue:`4312`: Link broken on ipython-doc stable * :ghissue:`1093`: Add boundary options to %load * :ghissue:`3619`: Multi-dir webservice design * :ghissue:`4299`: Nbconvert, default_preprocessors to list of dotted name not list of obj * :ghissue:`3210`: IPython.parallel tests seem to hang on ShiningPanda * :ghissue:`4280`: MathJax Automatic Line Breaking * :ghissue:`4039`: Celltoolbar example issue * :ghissue:`4247`: nbconvert --to latex: error when converting greek letter * :ghissue:`4273`: %%capture not capturing rich objects like plots (IPython 1.1.0) * :ghissue:`3866`: Vertical offsets in LaTeX output for nbconvert * :ghissue:`3631`: xkcd mode for the IPython notebook * :ghissue:`4243`: Test exclusions not working on Windows * :ghissue:`4256`: IPython no longer handles unicode file names * :ghissue:`3656`: Audio displayobject * :ghissue:`4223`: Double output on Ctrl-enter-enter * :ghissue:`4184`: nbconvert: use r pygmentize backend when highlighting "%%R" cells * :ghissue:`3851`: Adds an explicit newline for pretty-printing. * :ghissue:`3622`: Drop fakemodule * :ghissue:`4122`: Nbconvert [windows]: Inconsistent line endings in markdown cells exported to latex * :ghissue:`3819`: nbconvert add extra blank line to code block on Windows. * :ghissue:`4203`: remove spurious print statement from parallel annoted functions * :ghissue:`4200`: Notebook: merging a heading cell and markdown cell cannot be undone * :ghissue:`3747`: ipynb -> ipynb transformer * :ghissue:`4024`: nbconvert markdown issues * :ghissue:`3903`: on Windows, 'ipython3 nbconvert "C:/blabla/first_try.ipynb" --to slides' gives an unexpected result, and '--post serve' fails * :ghissue:`4095`: Catch js error in append html in stream/pyerr * :ghissue:`1880`: Add parallelism to test_pr * :ghissue:`4085`: nbconvert: Fix sphinx preprocessor date format string for Windows * :ghissue:`4156`: Specifying --gui=tk at the command line * :ghissue:`4146`: Having to prepend 'files/' to markdown image paths is confusing * :ghissue:`3818`: nbconvert can't handle Heading with Chinese characters on Japanese Windows OS. * :ghissue:`4134`: multi-line parser fails on ''' in comment, qtconsole and notebook. * :ghissue:`3998`: sample custom.js needs to be updated * :ghissue:`4078`: StoreMagic.autorestore not working in 1.0.0 * :ghissue:`3990`: Buitlin `input` doesn't work over zmq * :ghissue:`4015`: nbconvert fails to convert all the content of a notebook * :ghissue:`4059`: Issues with Ellipsis literal in Python 3 * :ghissue:`2310`: "ZMQError: Interrupted system call" from RichIPythonWidget * :ghissue:`3807`: qtconsole ipython 0.13.2 - html/xhtml export fails * :ghissue:`4103`: Wrong default argument of DirectView.clear * :ghissue:`4100`: parallel.client.client references undefined error.EngineError * :ghissue:`484`: Drop nosepatch * :ghissue:`3350`: Added longlist support in ipdb. * :ghissue:`1591`: Keying 'q' doesn't quit the interactive help in Wins7 * :ghissue:`40`: The tests in test_process fail under Windows * :ghissue:`3744`: capture rich output as well as stdout/err in capture_output * :ghissue:`3742`: %%capture to grab rich display outputs * :ghissue:`3863`: Added working speaker notes for slides. * :ghissue:`4013`: Iptest fails in dual python installation * :ghissue:`4005`: IPython.start_kernel doesn't work. * :ghissue:`4020`: IPython parallel map fails on numpy arrays * :ghissue:`3914`: nbconvert: Transformer tests * :ghissue:`3923`: nbconvert: Writer tests * :ghissue:`3945`: nbconvert: commandline tests fail Win7x64 Py3.3 * :ghissue:`3937`: make tab visible in codemirror and light red background * :ghissue:`3935`: No feedback for mixed tabs and spaces * :ghissue:`3933`: nbconvert: Post-processor tests * :ghissue:`3977`: unable to complete remote connections for two-process * :ghissue:`3939`: minor checkpoint cleanup * :ghissue:`3955`: complete on % for magic in notebook * :ghissue:`3954`: all magics should be listed when completing on % * :ghissue:`3980`: nbconvert rst output lacks needed blank lines * :ghissue:`3968`: TypeError: super() argument 1 must be type, not classobj (Python 2.6.6) * :ghissue:`3880`: nbconvert: R&D remaining tests * :ghissue:`2440`: IPEP 4: Python 3 Compatibility ipython-2.4.1/docs/source/whatsnew/index.rst0000644000076500000000000000207612466235755021423 0ustar minrkwheel00000000000000.. Developers should add in this file, during each release cycle, information .. about important changes they've made, in a summary format that's meant for .. end users. For each release we normally have three sections: features, bug .. fixes and api breakage. .. Please remember to credit the authors of the contributions by name, .. especially when they are new users or developers who do not regularly .. participate in IPython's development. .. _whatsnew_index: ===================== What's new in IPython ===================== This section documents the changes that have been made in various versions of IPython. Users should consult these pages to learn about new features, bug fixes and backwards incompatibilities. Developers should summarize the development work they do here in a user friendly format. .. toctree:: :maxdepth: 1 development version2.0 github-stats-2.0 version1.0 github-stats-1.0 version0.13 github-stats-0.13 version0.12 github-stats-0.12 version0.11 github-stats-0.11 version0.10 version0.9 version0.8 ipython-2.4.1/docs/source/whatsnew/pr/0000755000076500000000000000000012466236022020162 5ustar minrkwheel00000000000000ipython-2.4.1/docs/source/whatsnew/pr/antigravity-feature.rst0000644000076500000000000000000012466235755024710 0ustar minrkwheel00000000000000ipython-2.4.1/docs/source/whatsnew/pr/incompat-only-same-origin-iframe-embedding.rst0000644000076500000000000000052712466235755031112 0ustar minrkwheel00000000000000The IPython Notebook and its APIs by default will only be allowed to be embedded in an iframe on the same origin. To override this, set ``headers[X-Frame-Options]`` to one of * DENY * SAMEORIGIN * ALLOW-FROM uri See `Mozilla's guide to X-Frame-Options`_ for more examples. ipython-2.4.1/docs/source/whatsnew/pr/incompat-switching-to-perl.rst0000644000076500000000000000000012466235755026105 0ustar minrkwheel00000000000000ipython-2.4.1/docs/source/whatsnew/pr/README.md0000644000076500000000000000163612466235755021463 0ustar minrkwheel00000000000000Documenting What's New ---------------------- When making a new pull request that either adds a new feature, or makes a backwards-incompatible change to IPython, please add a new `.rst` file in this directory documenting this change as a part of your Pull Request. This will allow multiple Pull Requests to do the same without conflicting with one another. Periodically, IPython developers with commit rights will run a script and populate [development.rst](../development.rst) with the contents of this directory, and clean it up. Files which describe new features can have any name, such as `antigravity-feature.rst`, whereas backwards incompatible changes **must have** have a filename starting with `incompat-`, such as `incompat-switching-to-perl.rst`. Our "What's new" files always have two sections, and this prefix scheme will make sure that the backwards incompatible changes get routed to their proper section. ipython-2.4.1/docs/source/whatsnew/version0.10.rst0000644000076500000000000003611112466235755022275 0ustar minrkwheel00000000000000============= 0.10 series ============= Release 0.10.2 ============== IPython 0.10.2 was released April 9, 2011. This is a minor bugfix release that preserves backward compatibility. At this point, all IPython development resources are focused on the 0.11 series that includes a complete architectural restructuring of the project as well as many new capabilities, so this is likely to be the last release of the 0.10.x series. We have tried to fix all major bugs in this series so that it remains a viable platform for those not ready yet to transition to the 0.11 and newer codebase (since that will require some porting effort, as a number of APIs have changed). Thus, we are not opening a 0.10.3 active development branch yet, but if the user community requires new patches and is willing to maintain/release such a branch, we'll be happy to host it on the IPython github repositories. Highlights of this release: - The main one is the closing of github ticket #185, a major regression we had in 0.10.1 where pylab mode with GTK (or gthread) was not working correctly, hence plots were blocking with GTK. Since this is the default matplotlib backend on Unix systems, this was a major annoyance for many users. Many thanks to Paul Ivanov for helping resolve this issue. - Fix IOError bug on Windows when used with -gthread. - Work robustly if $HOME is missing from environment. - Better POSIX support in ssh scripts (remove bash-specific idioms). - Improved support for non-ascii characters in log files. - Work correctly in environments where GTK can be imported but not started (such as a linux text console without X11). For this release we merged 24 commits, contributed by the following people (please let us know if we ommitted your name and we'll gladly fix this in the notes for the future): * Fernando Perez * MinRK * Paul Ivanov * Pieter Cristiaan de Groot * TvrtkoM Release 0.10.1 ============== IPython 0.10.1 was released October 11, 2010, over a year after version 0.10. This is mostly a bugfix release, since after version 0.10 was released, the development team's energy has been focused on the 0.11 series. We have nonetheless tried to backport what fixes we could into 0.10.1, as it remains the stable series that many users have in production systems they rely on. Since the 0.11 series changes many APIs in backwards-incompatible ways, we are willing to continue maintaining the 0.10.x series. We don't really have time to actively write new code for 0.10.x, but we are happy to accept patches and pull requests on the IPython `github site`_. If sufficient contributions are made that improve 0.10.1, we will roll them into future releases. For this purpose, we will have a branch called 0.10.2 on github, on which you can base your contributions. .. _github site: http://github.com/ipython For this release, we applied approximately 60 commits totaling a diff of over 7000 lines:: (0.10.1)amirbar[dist]> git diff --oneline rel-0.10.. | wc -l 7296 Highlights of this release: - The only significant new feature is that IPython's parallel computing machinery now supports natively the Sun Grid Engine and LSF schedulers. This work was a joint contribution from Justin Riley, Satra Ghosh and Matthieu Brucher, who put a lot of work into it. We also improved traceback handling in remote tasks, as well as providing better control for remote task IDs. - New IPython Sphinx directive contributed by John Hunter. You can use this directive to mark blocks in reSructuredText documents as containing IPython syntax (including figures) and the will be executed during the build: .. sourcecode:: ipython In [2]: plt.figure() # ensure a fresh figure @savefig psimple.png width=4in In [3]: plt.plot([1,2,3]) Out[3]: [] - Various fixes to the standalone ipython-wx application. - We now ship internally the excellent argparse library, graciously licensed under BSD terms by Steven Bethard. Now (2010) that argparse has become part of Python 2.7 this will be less of an issue, but Steven's relicensing allowed us to start updating IPython to using argparse well before Python 2.7. Many thanks! - Robustness improvements so that IPython doesn't crash if the readline library is absent (though obviously a lot of functionality that requires readline will not be available). - Improvements to tab completion in Emacs with Python 2.6. - Logging now supports timestamps (see ``%logstart?`` for full details). - A long-standing and quite annoying bug where parentheses would be added to ``print`` statements, under Python 2.5 and 2.6, was finally fixed. - Improved handling of libreadline on Apple OSX. - Fix ``reload`` method of IPython demos, which was broken. - Fixes for the ipipe/ibrowse system on OSX. - Fixes for Zope profile. - Fix %timeit reporting when the time is longer than 1000s. - Avoid lockups with ? or ?? in SunOS, due to a bug in termios. - The usual assortment of miscellaneous bug fixes and small improvements. The following people contributed to this release (please let us know if we omitted your name and we'll gladly fix this in the notes for the future): * Beni Cherniavsky * Boyd Waters. * David Warde-Farley * Fernando Perez * Gökhan Sever * John Hunter * Justin Riley * Kiorky * Laurent Dufrechou * Mark E. Smith * Matthieu Brucher * Satrajit Ghosh * Sebastian Busch * Václav Šmilauer Release 0.10 ============ This release brings months of slow but steady development, and will be the last before a major restructuring and cleanup of IPython's internals that is already under way. For this reason, we hope that 0.10 will be a stable and robust release so that while users adapt to some of the API changes that will come with the refactoring that will become IPython 0.11, they can safely use 0.10 in all existing projects with minimal changes (if any). IPython 0.10 is now a medium-sized project, with roughly (as reported by David Wheeler's :command:`sloccount` utility) 40750 lines of Python code, and a diff between 0.9.1 and this release that contains almost 28000 lines of code and documentation. Our documentation, in PDF format, is a 495-page long PDF document (also available in HTML format, both generated from the same sources). Many users and developers contributed code, features, bug reports and ideas to this release. Please do not hesitate in contacting us if we've failed to acknowledge your contribution here. In particular, for this release we have contribution from the following people, a mix of new and regular names (in alphabetical order by first name): * Alexander Clausen: fix #341726. * Brian Granger: lots of work everywhere (features, bug fixes, etc). * Daniel Ashbrook: bug report on MemoryError during compilation, now fixed. * Darren Dale: improvements to documentation build system, feedback, design ideas. * Fernando Perez: various places. * Gaël Varoquaux: core code, ipythonx GUI, design discussions, etc. Lots... * John Hunter: suggestions, bug fixes, feedback. * Jorgen Stenarson: work on many fronts, tests, fixes, win32 support, etc. * Laurent Dufréchou: many improvements to ipython-wx standalone app. * Lukasz Pankowski: prefilter, `%edit`, demo improvements. * Matt Foster: TextMate support in `%edit`. * Nathaniel Smith: fix #237073. * Pauli Virtanen: fixes and improvements to extensions, documentation. * Prabhu Ramachandran: improvements to `%timeit`. * Robert Kern: several extensions. * Sameer D'Costa: help on critical bug #269966. * Stephan Peijnik: feedback on Debian compliance and many man pages. * Steven Bethard: we are now shipping his :mod:`argparse` module. * Tom Fetherston: many improvements to :mod:`IPython.demo` module. * Ville Vainio: lots of work everywhere (features, bug fixes, etc). * Vishal Vasta: ssh support in ipcluster. * Walter Doerwald: work on the :mod:`IPython.ipipe` system. Below we give an overview of new features, bug fixes and backwards-incompatible changes. For a detailed account of every change made, feel free to view the project log with :command:`bzr log`. New features ------------ * New `%paste` magic automatically extracts current contents of clipboard and pastes it directly, while correctly handling code that is indented or prepended with `>>>` or `...` python prompt markers. A very useful new feature contributed by Robert Kern. * IPython 'demos', created with the :mod:`IPython.demo` module, can now be created from files on disk or strings in memory. Other fixes and improvements to the demo system, by Tom Fetherston. * Added :func:`find_cmd` function to :mod:`IPython.platutils` module, to find commands in a cross-platform manner. * Many improvements and fixes to Gaël Varoquaux's :command:`ipythonx`, a WX-based lightweight IPython instance that can be easily embedded in other WX applications. These improvements have made it possible to now have an embedded IPython in Mayavi and other tools. * :class:`MultiengineClient` objects now have a :meth:`benchmark` method. * The manual now includes a full set of auto-generated API documents from the code sources, using Sphinx and some of our own support code. We are now using the `Numpy Documentation Standard`_ for all docstrings, and we have tried to update as many existing ones as possible to this format. * The new :mod:`IPython.Extensions.ipy_pretty` extension by Robert Kern provides configurable pretty-printing. * Many improvements to the :command:`ipython-wx` standalone WX-based IPython application by Laurent Dufréchou. It can optionally run in a thread, and this can be toggled at runtime (allowing the loading of Matplotlib in a running session without ill effects). * IPython includes a copy of Steven Bethard's argparse_ in the :mod:`IPython.external` package, so we can use it internally and it is also available to any IPython user. By installing it in this manner, we ensure zero conflicts with any system-wide installation you may already have while minimizing external dependencies for new users. In IPython 0.10, We ship argparse version 1.0. * An improved and much more robust test suite, that runs groups of tests in separate subprocesses using either Nose or Twisted's :command:`trial` runner to ensure proper management of Twisted-using code. The test suite degrades gracefully if optional dependencies are not available, so that the :command:`iptest` command can be run with only Nose installed and nothing else. We also have more and cleaner test decorators to better select tests depending on runtime conditions, do setup/teardown, etc. * The new ipcluster now has a fully working ssh mode that should work on Linux, Unix and OS X. Thanks to Vishal Vatsa for implementing this! * The wonderful TextMate editor can now be used with %edit on OS X. Thanks to Matt Foster for this patch. * The documentation regarding parallel uses of IPython, including MPI and PBS, has been significantly updated and improved. * The developer guidelines in the documentation have been updated to explain our workflow using :command:`bzr` and Launchpad. * Fully refactored :command:`ipcluster` command line program for starting IPython clusters. This new version is a complete rewrite and 1) is fully cross platform (we now use Twisted's process management), 2) has much improved performance, 3) uses subcommands for different types of clusters, 4) uses argparse for parsing command line options, 5) has better support for starting clusters using :command:`mpirun`, 6) has experimental support for starting engines using PBS. It can also reuse FURL files, by appropriately passing options to its subcommands. However, this new version of ipcluster should be considered a technology preview. We plan on changing the API in significant ways before it is final. * Full description of the security model added to the docs. * cd completer: show bookmarks if no other completions are available. * sh profile: easy way to give 'title' to prompt: assign to variable '_prompt_title'. It looks like this:: [~]|1> _prompt_title = 'sudo!' sudo![~]|2> * %edit: If you do '%edit pasted_block', pasted_block variable gets updated with new data (so repeated editing makes sense) .. _Numpy Documentation Standard: https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt#docstring-standard .. _argparse: http://code.google.com/p/argparse/ Bug fixes --------- * Fix #368719, removed top-level debian/ directory to make the job of Debian packagers easier. * Fix #291143 by including man pages contributed by Stephan Peijnik from the Debian project. * Fix #358202, effectively a race condition, by properly synchronizing file creation at cluster startup time. * `%timeit` now handles correctly functions that take a long time to execute even the first time, by not repeating them. * Fix #239054, releasing of references after exiting. * Fix #341726, thanks to Alexander Clausen. * Fix #269966. This long-standing and very difficult bug (which is actually a problem in Python itself) meant long-running sessions would inevitably grow in memory size, often with catastrophic consequences if users had large objects in their scripts. Now, using `%run` repeatedly should not cause any memory leaks. Special thanks to John Hunter and Sameer D'Costa for their help with this bug. * Fix #295371, bug in `%history`. * Improved support for py2exe. * Fix #270856: IPython hangs with PyGTK * Fix #270998: A magic with no docstring breaks the '%magic magic' * fix #271684: -c startup commands screw up raw vs. native history * Numerous bugs on Windows with the new ipcluster have been fixed. * The ipengine and ipcontroller scripts now handle missing furl files more gracefully by giving better error messages. * %rehashx: Aliases no longer contain dots. python3.0 binary will create alias python30. Fixes: #259716 "commands with dots in them don't work" * %cpaste: %cpaste -r repeats the last pasted block. The block is assigned to pasted_block even if code raises exception. * Bug #274067 'The code in get_home_dir is broken for py2exe' was fixed. * Many other small bug fixes not listed here by number (see the bzr log for more info). Backwards incompatible changes ------------------------------ * `ipykit` and related files were unmaintained and have been removed. * The :func:`IPython.genutils.doctest_reload` does not actually call `reload(doctest)` anymore, as this was causing many problems with the test suite. It still resets `doctest.master` to None. * While we have not deliberately broken Python 2.4 compatibility, only minor testing was done with Python 2.4, while 2.5 and 2.6 were fully tested. But if you encounter problems with 2.4, please do report them as bugs. * The :command:`ipcluster` now requires a mode argument; for example to start a cluster on the local machine with 4 engines, you must now type:: $ ipcluster local -n 4 * The controller now has a ``-r`` flag that needs to be used if you want to reuse existing furl files. Otherwise they are deleted (the default). * Remove ipy_leo.py. You can use :command:`easy_install ipython-extension` to get it. (done to decouple it from ipython release cycle) ipython-2.4.1/docs/source/whatsnew/version0.11.rst0000644000076500000000000010416412466235755022302 0ustar minrkwheel00000000000000============= 0.11 Series ============= Release 0.11 ============ IPython 0.11 is a *major* overhaul of IPython, two years in the making. Most of the code base has been rewritten or at least reorganized, breaking backward compatibility with several APIs in previous versions. It is the first major release in two years, and probably the most significant change to IPython since its inception. We plan to have a relatively quick succession of releases, as people discover new bugs and regressions. Once we iron out any significant bugs in this process and settle down the new APIs, this series will become IPython 1.0. We encourage feedback now on the core APIs, which we hope to maintain stable during the 1.0 series. Since the internal APIs have changed so much, projects using IPython as a library (as opposed to end-users of the application) are the most likely to encounter regressions or changes that break their existing use patterns. We will make every effort to provide updated versions of the APIs to facilitate the transition, and we encourage you to contact us on the `development mailing list`__ with questions and feedback. .. __: http://mail.scipy.org/mailman/listinfo/ipython-dev Chris Fonnesbeck recently wrote an `excellent post`__ that highlights some of our major new features, with examples and screenshots. We encourage you to read it as it provides an illustrated, high-level overview complementing the detailed feature breakdown in this document. .. __: http://stronginference.com/post/innovations-in-ipython A quick summary of the major changes (see below for details): * **Standalone Qt console**: a new rich console has been added to IPython, started with `ipython qtconsole`. In this application we have tried to retain the feel of a terminal for fast and efficient workflows, while adding many features that a line-oriented terminal simply can not support, such as inline figures, full multiline editing with syntax highlighting, graphical tooltips for function calls and much more. This development was sponsored by `Enthought Inc.`__. See :ref:`below ` for details. .. __: http://enthought.com * **High-level parallel computing with ZeroMQ**. Using the same architecture that our Qt console is based on, we have completely rewritten our high-level parallel computing machinery that in prior versions used the Twisted networking framework. While this change will require users to update their codes, the improvements in performance, memory control and internal consistency across our codebase convinced us it was a price worth paying. We have tried to explain how to best proceed with this update, and will be happy to answer questions that may arise. A full tutorial describing these features `was presented at SciPy'11`__, more details :ref:`below `. .. __: http://minrk.github.com/scipy-tutorial-2011 * **New model for GUI/plotting support in the terminal**. Now instead of the various `-Xthread` flags we had before, GUI support is provided without the use of any threads, by directly integrating GUI event loops with Python's `PyOS_InputHook` API. A new command-line flag `--gui` controls GUI support, and it can also be enabled after IPython startup via the new `%gui` magic. This requires some changes if you want to execute GUI-using scripts inside IPython, see :ref:`the GUI support section ` for more details. * **A two-process architecture.** The Qt console is the first use of a new model that splits IPython between a kernel process where code is executed and a client that handles user interaction. We plan on also providing terminal and web-browser based clients using this infrastructure in future releases. This model allows multiple clients to interact with an IPython process through a :ref:`well-documented messaging protocol ` using the ZeroMQ networking library. * **Refactoring.** the entire codebase has been refactored, in order to make it more modular and easier to contribute to. IPython has traditionally been a hard project to participate because the old codebase was very monolithic. We hope this (ongoing) restructuring will make it easier for new developers to join us. * **Vim integration**. Vim can be configured to seamlessly control an IPython kernel, see the files in :file:`docs/examples/vim` for the full details. This work was done by Paul Ivanov, who prepared a nice `video demonstration`__ of the features it provides. .. __: http://pirsquared.org/blog/2011/07/28/vim-ipython/ * **Integration into Microsoft Visual Studio**. Thanks to the work of the Microsoft `Python Tools for Visual Studio`__ team, this version of IPython has been integrated into Microsoft Visual Studio's Python tools open source plug-in. `Details below`_ .. __: http://pytools.codeplex.com .. _details below: ms_visual_studio_011_ * **Improved unicode support**. We closed many bugs related to unicode input. * **Python 3**. IPython now runs on Python 3.x. See :ref:`python3_011` for details. * **New profile model**. Profiles are now directories that contain all relevant information for that session, and thus better isolate IPython use-cases. * **SQLite storage for history**. All history is now stored in a SQLite database, providing support for multiple simultaneous sessions that won't clobber each other as well as the ability to perform queries on all stored data. * **New configuration system**. All parts of IPython are now configured via a mechanism inspired by the Enthought Traits library. Any configurable element can have its attributes set either via files that now use real Python syntax or from the command-line. * **Pasting of code with prompts**. IPython now intelligently strips out input prompts , be they plain Python ones (``>>>`` and ``...``) or IPython ones (``In [N]:`` and ``...:``). More details :ref:`here `. Authors and support ------------------- Over 60 separate authors have contributed to this release, see :ref:`below ` for a full list. In particular, we want to highlight the extremely active participation of two new core team members: Evan Patterson implemented the Qt console, and Thomas Kluyver started with our Python 3 port and by now has made major contributions to just about every area of IPython. We are also grateful for the support we have received during this development cycle from several institutions: - `Enthought Inc`__ funded the development of our new Qt console, an effort that required developing major pieces of underlying infrastructure, which now power not only the Qt console but also our new parallel machinery. We'd like to thank Eric Jones and Travis Oliphant for their support, as well as Ilan Schnell for his tireless work integrating and testing IPython in the `Enthought Python Distribution`_. .. __: http://enthought.com .. _Enthought Python Distribution: http://www.enthought.com/products/epd.php - Nipy/NIH: funding via the `NiPy project`__ (NIH grant 5R01MH081909-02) helped us jumpstart the development of this series by restructuring the entire codebase two years ago in a way that would make modular development and testing more approachable. Without this initial groundwork, all the new features we have added would have been impossible to develop. .. __: http://nipy.org - Sage/NSF: funding via the grant `Sage: Unifying Mathematical Software for Scientists, Engineers, and Mathematicians`__ (NSF grant DMS-1015114) supported a meeting in spring 2011 of several of the core IPython developers where major progress was made integrating the last key pieces leading to this release. .. __: http://modular.math.washington.edu/grants/compmath09 - Microsoft's team working on `Python Tools for Visual Studio`__ developed the integraton of IPython into the Python plugin for Visual Studio 2010. .. __: http://pytools.codeplex.com - Google Summer of Code: in 2010, we had two students developing prototypes of the new machinery that is now maturing in this release: `Omar Zapata`_ and `Gerardo Gutiérrez`_. .. _Omar Zapata: http://ipythonzmq.blogspot.com/2010/08/ipython-zmq-status.html .. _Gerardo Gutiérrez: http://ipythonqt.blogspot.com/2010/04/ipython-qt-interface-gsoc-2010-proposal.html> Development summary: moving to Git and Github --------------------------------------------- In April 2010, after `one breakage too many with bzr`__, we decided to move our entire development process to Git and Github.com. This has proven to be one of the best decisions in the project's history, as the combination of git and github have made us far, far more productive than we could be with our previous tools. We first converted our bzr repo to a git one without losing history, and a few weeks later ported all open Launchpad bugs to github issues with their comments mostly intact (modulo some formatting changes). This ensured a smooth transition where no development history or submitted bugs were lost. Feel free to use our little Launchpad to Github issues `porting script`_ if you need to make a similar transition. .. __: http://mail.scipy.org/pipermail/ipython-dev/2010-April/005944.html .. _porting script: https://gist.github.com/835577 These simple statistics show how much work has been done on the new release, by comparing the current code to the last point it had in common with the 0.10 series. A huge diff and ~2200 commits make up this cycle:: git diff $(git merge-base 0.10.2 HEAD) | wc -l 288019 git log $(git merge-base 0.10.2 HEAD)..HEAD --oneline | wc -l 2200 Since our move to github, 511 issues were closed, 226 of which were pull requests and 285 regular issues (:ref:`a full list with links ` is available for those interested in the details). Github's pull requests are a fantastic mechanism for reviewing code and building a shared ownership of the project, and we are making enthusiastic use of it. .. Note:: This undercounts the number of issues closed in this development cycle, since we only moved to github for issue tracking in May 2010, but we have no way of collecting statistics on the number of issues closed in the old Launchpad bug tracker prior to that. .. _qtconsole_011: Qt Console ---------- IPython now ships with a Qt application that feels very much like a terminal, but is in fact a rich GUI that runs an IPython client but supports inline figures, saving sessions to PDF and HTML, multiline editing with syntax highlighting, graphical calltips and much more: .. figure:: ../_images/qtconsole.png :width: 400px :alt: IPython Qt console with embedded plots :align: center :target: ../_images/qtconsole.png The Qt console for IPython, using inline matplotlib plots. We hope that many projects will embed this widget, which we've kept deliberately very lightweight, into their own environments. In the future we may also offer a slightly more featureful application (with menus and other GUI elements), but we remain committed to always shipping this easy to embed widget. See the :ref:`Qt console section ` of the docs for a detailed description of the console's features and use. .. _parallel_011: High-level parallel computing with ZeroMQ ----------------------------------------- We have completely rewritten the Twisted-based code for high-level parallel computing to work atop our new ZeroMQ architecture. While we realize this will break compatibility for a number of users, we hope to make the transition as easy as possible with our docs, and we are convinced the change is worth it. ZeroMQ provides us with much tighter control over memory, higher performance, and its communications are impervious to the Python Global Interpreter Lock because they take place in a system-level C++ thread. The impact of the GIL in our previous code was something we could simply not work around, given that Twisted is itself a Python library. So while Twisted is a very capable framework, we think ZeroMQ fits our needs much better and we hope you will find the change to be a significant improvement in the long run. Our manual contains :ref:`a full description of how to use IPython for parallel computing `, and the `tutorial`__ presented by Min Ragan-Kelley at the SciPy 2011 conference provides a hands-on complement to the reference docs. .. __: http://minrk.github.com/scipy-tutorial-2011 Refactoring ----------- As of this release, a signifiant portion of IPython has been refactored. This refactoring is founded on a number of new abstractions. The main new classes that implement these abstractions are: * :class:`IPython.utils.traitlets.HasTraits`. * :class:`IPython.config.configurable.Configurable`. * :class:`IPython.config.application.Application`. * :class:`IPython.config.loader.ConfigLoader`. * :class:`IPython.config.loader.Config` We are still in the process of writing developer focused documentation about these classes, but for now our :ref:`configuration documentation ` contains a high level overview of the concepts that these classes express. The biggest user-visible change is likely the move to using the config system to determine the command-line arguments for IPython applications. The benefit of this is that *all* configurable values in IPython are exposed on the command-line, but the syntax for specifying values has changed. The gist is that assigning values is pure Python assignment. Simple flags exist for commonly used options, these are always prefixed with '--'. The IPython command-line help has the details of all the options (via ``ipythyon --help``), but a simple example should clarify things; the ``pylab`` flag can be used to start in pylab mode with the qt4 backend:: ipython --pylab=qt which is equivalent to using the fully qualified form:: ipython --TerminalIPythonApp.pylab=qt The long-form options can be listed via ``ipython --help-all``. ZeroMQ architecture ------------------- There is a new GUI framework for IPython, based on a client-server model in which multiple clients can communicate with one IPython kernel, using the ZeroMQ messaging framework. There is already a Qt console client, which can be started by calling ``ipython qtconsole``. The protocol is :ref:`documented `. The parallel computing framework has also been rewritten using ZMQ. The protocol is described :ref:`here `, and the code is in the new :mod:`IPython.parallel` module. .. _python3_011: Python 3 support ---------------- A Python 3 version of IPython has been prepared. For the time being, this is maintained separately and updated from the main codebase. Its code can be found `here `_. The parallel computing components are not perfect on Python3, but most functionality appears to be working. As this work is evolving quickly, the best place to find updated information about it is our `Python 3 wiki page`__. .. __: http://wiki.ipython.org/index.php?title=Python_3 Unicode ------- Entering non-ascii characters in unicode literals (``u"€ø"``) now works properly on all platforms. However, entering these in byte/string literals (``"€ø"``) will not work as expected on Windows (or any platform where the terminal encoding is not UTF-8, as it typically is for Linux & Mac OS X). You can use escape sequences (``"\xe9\x82"``) to get bytes above 128, or use unicode literals and encode them. This is a limitation of Python 2 which we cannot easily work around. .. _ms_visual_studio_011: Integration with Microsoft Visual Studio ---------------------------------------- IPython can be used as the interactive shell in the `Python plugin for Microsoft Visual Studio`__, as seen here: .. figure:: ../_images/ms_visual_studio.png :width: 500px :alt: IPython console embedded in Microsoft Visual Studio. :align: center :target: ../_images/ms_visual_studio.png IPython console embedded in Microsoft Visual Studio. The Microsoft team developing this currently has a release candidate out using IPython 0.11. We will continue to collaborate with them to ensure that as they approach their final release date, the integration with IPython remains smooth. We'd like to thank Dino Viehland and Shahrokh Mortazavi for the work they have done towards this feature, as well as Wenming Ye for his support of our WinHPC capabilities. .. __: http://pytools.codeplex.com Additional new features ----------------------- * Added ``Bytes`` traitlet, removing ``Str``. All 'string' traitlets should either be ``Unicode`` if a real string, or ``Bytes`` if a C-string. This removes ambiguity and helps the Python 3 transition. * New magic ``%loadpy`` loads a python file from disk or web URL into the current input buffer. * New magic ``%pastebin`` for sharing code via the 'Lodge it' pastebin. * New magic ``%precision`` for controlling float and numpy pretty printing. * IPython applications initiate logging, so any object can gain access to a the logger of the currently running Application with: .. sourcecode:: python from IPython.config.application import Application logger = Application.instance().log * You can now get help on an object halfway through typing a command. For instance, typing ``a = zip?`` shows the details of :func:`zip`. It also leaves the command at the next prompt so you can carry on with it. * The input history is now written to an SQLite database. The API for retrieving items from the history has also been redesigned. * The :mod:`IPython.extensions.pretty` extension has been moved out of quarantine and fully updated to the new extension API. * New magics for loading/unloading/reloading extensions have been added: ``%load_ext``, ``%unload_ext`` and ``%reload_ext``. * The configuration system and configuration files are brand new. See the configuration system :ref:`documentation ` for more details. * The :class:`~IPython.core.interactiveshell.InteractiveShell` class is now a :class:`~IPython.config.configurable.Configurable` subclass and has traitlets that determine the defaults and runtime environment. The ``__init__`` method has also been refactored so this class can be instantiated and run without the old :mod:`ipmaker` module. * The methods of :class:`~IPython.core.interactiveshell.InteractiveShell` have been organized into sections to make it easier to turn more sections of functionality into components. * The embedded shell has been refactored into a truly standalone subclass of :class:`InteractiveShell` called :class:`InteractiveShellEmbed`. All embedding logic has been taken out of the base class and put into the embedded subclass. * Added methods of :class:`~IPython.core.interactiveshell.InteractiveShell` to help it cleanup after itself. The :meth:`cleanup` method controls this. We couldn't do this in :meth:`__del__` because we have cycles in our object graph that prevent it from being called. * Created a new module :mod:`IPython.utils.importstring` for resolving strings like ``foo.bar.Bar`` to the actual class. * Completely refactored the :mod:`IPython.core.prefilter` module into :class:`~IPython.config.configurable.Configurable` subclasses. Added a new layer into the prefilter system, called "transformations" that all new prefilter logic should use (rather than the older "checker/handler" approach). * Aliases are now components (:mod:`IPython.core.alias`). * New top level :func:`~IPython.frontend.terminal.embed.embed` function that can be called to embed IPython at any place in user's code. On the first call it will create an :class:`~IPython.frontend.terminal.embed.InteractiveShellEmbed` instance and call it. In later calls, it just calls the previously created :class:`~IPython.frontend.terminal.embed.InteractiveShellEmbed`. * Created a configuration system (:mod:`IPython.config.configurable`) that is based on :mod:`IPython.utils.traitlets`. Configurables are arranged into a runtime containment tree (not inheritance) that i) automatically propagates configuration information and ii) allows singletons to discover each other in a loosely coupled manner. In the future all parts of IPython will be subclasses of :class:`~IPython.config.configurable.Configurable`. All IPython developers should become familiar with the config system. * Created a new :class:`~IPython.config.loader.Config` for holding configuration information. This is a dict like class with a few extras: i) it supports attribute style access, ii) it has a merge function that merges two :class:`~IPython.config.loader.Config` instances recursively and iii) it will automatically create sub-:class:`~IPython.config.loader.Config` instances for attributes that start with an uppercase character. * Created new configuration loaders in :mod:`IPython.config.loader`. These loaders provide a unified loading interface for all configuration information including command line arguments and configuration files. We have two default implementations based on :mod:`argparse` and plain python files. These are used to implement the new configuration system. * Created a top-level :class:`Application` class in :mod:`IPython.core.application` that is designed to encapsulate the starting of any basic Python program. An application loads and merges all the configuration objects, constructs the main application, configures and initiates logging, and creates and configures any :class:`Configurable` instances and then starts the application running. An extended :class:`BaseIPythonApplication` class adds logic for handling the IPython directory as well as profiles, and all IPython entry points extend it. * The :class:`Type` and :class:`Instance` traitlets now handle classes given as strings, like ``foo.bar.Bar``. This is needed for forward declarations. But, this was implemented in a careful way so that string to class resolution is done at a single point, when the parent :class:`~IPython.utils.traitlets.HasTraitlets` is instantiated. * :mod:`IPython.utils.ipstruct` has been refactored to be a subclass of dict. It also now has full docstrings and doctests. * Created a Traits like implementation in :mod:`IPython.utils.traitlets`. This is a pure Python, lightweight version of a library that is similar to Enthought's Traits project, but has no dependencies on Enthought's code. We are using this for validation, defaults and notification in our new component system. Although it is not 100% API compatible with Enthought's Traits, we plan on moving in this direction so that eventually our implementation could be replaced by a (yet to exist) pure Python version of Enthought Traits. * Added a new module :mod:`IPython.lib.inputhook` to manage the integration with GUI event loops using `PyOS_InputHook`. See the docstrings in this module or the main IPython docs for details. * For users, GUI event loop integration is now handled through the new :command:`%gui` magic command. Type ``%gui?`` at an IPython prompt for documentation. * For developers :mod:`IPython.lib.inputhook` provides a simple interface for managing the event loops in their interactive GUI applications. Examples can be found in our :file:`examples/lib` directory. Backwards incompatible changes ------------------------------ * The Twisted-based :mod:`IPython.kernel` has been removed, and completely rewritten as :mod:`IPython.parallel`, using ZeroMQ. * Profiles are now directories. Instead of a profile being a single config file, profiles are now self-contained directories. By default, profiles get their own IPython history, log files, and everything. To create a new profile, do ``ipython profile create ``. * All IPython applications have been rewritten to use :class:`~IPython.config.loader.KeyValueConfigLoader`. This means that command-line options have changed. Now, all configurable values are accessible from the command-line with the same syntax as in a configuration file. * The command line options ``-wthread``, ``-qthread`` and ``-gthread`` have been removed. Use ``--gui=wx``, ``--gui=qt``, ``--gui=gtk`` instead. * The extension loading functions have been renamed to :func:`load_ipython_extension` and :func:`unload_ipython_extension`. * :class:`~IPython.core.interactiveshell.InteractiveShell` no longer takes an ``embedded`` argument. Instead just use the :class:`~IPython.core.interactiveshell.InteractiveShellEmbed` class. * ``__IPYTHON__`` is no longer injected into ``__builtin__``. * :meth:`Struct.__init__` no longer takes `None` as its first argument. It must be a :class:`dict` or :class:`Struct`. * :meth:`~IPython.core.interactiveshell.InteractiveShell.ipmagic` has been renamed :meth:`~IPython.core.interactiveshell.InteractiveShell.magic.` * The functions :func:`ipmagic` and :func:`ipalias` have been removed from :mod:`__builtins__`. * The references to the global :class:`~IPython.core.interactivehell.InteractiveShell` instance (``_ip``, and ``__IP``) have been removed from the user's namespace. They are replaced by a new function called :func:`get_ipython` that returns the current :class:`~IPython.core.interactiveshell.InteractiveShell` instance. This function is injected into the user's namespace and is now the main way of accessing the running IPython. * Old style configuration files :file:`ipythonrc` and :file:`ipy_user_conf.py` are no longer supported. Users should migrate there configuration files to the new format described :doc:`here ` and :ref:`here `. * The old IPython extension API that relied on :func:`ipapi` has been completely removed. The new extension API is described :ref:`here `. * Support for ``qt3`` has been dropped. Users who need this should use previous versions of IPython. * Removed :mod:`shellglobals` as it was obsolete. * Removed all the threaded shells in :mod:`IPython.core.shell`. These are no longer needed because of the new capabilities in :mod:`IPython.lib.inputhook`. * New top-level sub-packages have been created: :mod:`IPython.core`, :mod:`IPython.lib`, :mod:`IPython.utils`, :mod:`IPython.deathrow`, :mod:`IPython.quarantine`. All existing top-level modules have been moved to appropriate sub-packages. All internal import statements have been updated and tests have been added. The build system (setup.py and friends) have been updated. See :doc:`/api/index` for details of these new sub-packages. * :mod:`IPython.ipapi` has been moved to :mod:`IPython.core.ipapi`. :mod:`IPython.Shell` and :mod:`IPython.iplib` have been split and removed as part of the refactor. * :mod:`Extensions` has been moved to :mod:`extensions` and all existing extensions have been moved to either :mod:`IPython.quarantine` or :mod:`IPython.deathrow`. :mod:`IPython.quarantine` contains modules that we plan on keeping but that need to be updated. :mod:`IPython.deathrow` contains modules that are either dead or that should be maintained as third party libraries. * Previous IPython GUIs in :mod:`IPython.frontend` and :mod:`IPython.gui` are likely broken, and have been removed to :mod:`IPython.deathrow` because of the refactoring in the core. With proper updates, these should still work. Known Regressions ----------------- We do our best to improve IPython, but there are some known regressions in 0.11 relative to 0.10.2. First of all, there are features that have yet to be ported to the new APIs, and in order to ensure that all of the installed code runs for our users, we have moved them to two separate directories in the source distribution, `quarantine` and `deathrow`. Finally, we have some other miscellaneous regressions that we hope to fix as soon as possible. We now describe all of these in more detail. Quarantine ~~~~~~~~~~ These are tools and extensions that we consider relatively easy to update to the new classes and APIs, but that we simply haven't had time for. Any user who is interested in one of these is encouraged to help us by porting it and submitting a pull request on our `development site`_. .. _development site: http://github.com/ipython/ipython Currently, the quarantine directory contains:: clearcmd.py ipy_fsops.py ipy_signals.py envpersist.py ipy_gnuglobal.py ipy_synchronize_with.py ext_rescapture.py ipy_greedycompleter.py ipy_system_conf.py InterpreterExec.py ipy_jot.py ipy_which.py ipy_app_completers.py ipy_lookfor.py ipy_winpdb.py ipy_autoreload.py ipy_profile_doctest.py ipy_workdir.py ipy_completers.py ipy_pydb.py jobctrl.py ipy_editors.py ipy_rehashdir.py ledit.py ipy_exportdb.py ipy_render.py pspersistence.py ipy_extutil.py ipy_server.py win32clip.py Deathrow ~~~~~~~~ These packages may be harder to update or make most sense as third-party libraries. Some of them are completely obsolete and have been already replaced by better functionality (we simply haven't had the time to carefully weed them out so they are kept here for now). Others simply require fixes to code that the current core team may not be familiar with. If a tool you were used to is included here, we encourage you to contact the dev list and we can discuss whether it makes sense to keep it in IPython (if it can be maintained). Currently, the deathrow directory contains:: astyle.py ipy_defaults.py ipy_vimserver.py dtutils.py ipy_kitcfg.py numeric_formats.py Gnuplot2.py ipy_legacy.py numutils.py GnuplotInteractive.py ipy_p4.py outputtrap.py GnuplotRuntime.py ipy_profile_none.py PhysicalQInput.py ibrowse.py ipy_profile_numpy.py PhysicalQInteractive.py igrid.py ipy_profile_scipy.py quitter.py* ipipe.py ipy_profile_sh.py scitedirector.py iplib.py ipy_profile_zope.py Shell.py ipy_constants.py ipy_traits_completer.py twshell.py Other regressions ~~~~~~~~~~~~~~~~~ * The machinery that adds functionality to the 'sh' profile for using IPython as your system shell has not been updated to use the new APIs. As a result, only the aesthetic (prompt) changes are still implemented. We intend to fix this by 0.12. Tracked as issue 547_. .. _547: https://github.com/ipython/ipython/issues/547 * The installation of scripts on Windows was broken without setuptools, so we now depend on setuptools on Windows. We hope to fix setuptools-less installation, and then remove the setuptools dependency. Issue 539_. .. _539: https://github.com/ipython/ipython/issues/539 * The directory history `_dh` is not saved between sessions. Issue 634_. .. _634: https://github.com/ipython/ipython/issues/634 Removed Features ---------------- As part of the updating of IPython, we have removed a few features for the purposes of cleaning up the codebase and interfaces. These removals are permanent, but for any item listed below, equivalent functionality is available. * The magics Exit and Quit have been dropped as ways to exit IPython. Instead, the lowercase forms of both work either as a bare name (``exit``) or a function call (``exit()``). You can assign these to other names using exec_lines in the config file. .. _credits_011: Credits ------- Many users and developers contributed code, features, bug reports and ideas to this release. Please do not hesitate in contacting us if we've failed to acknowledge your contribution here. In particular, for this release we have contribution from the following people, a mix of new and regular names (in alphabetical order by first name): * Aenugu Sai Kiran Reddy * andy wilson * Antonio Cuni * Barry Wark * Beetoju Anuradha * Benjamin Ragan-Kelley * Brad Reisfeld * Brian E. Granger * Christoph Gohlke * Cody Precord * dan.milstein * Darren Dale * Dav Clark * David Warde-Farley * epatters * epatters * epatters * Eric Firing * Erik Tollerud * Evan Patterson * Fernando Perez * Gael Varoquaux * Gerardo * Jason Grout * John Hunter * Jens Hedegaard Nielsen * Johann Cohen-Tanugi * Jörgen Stenarson * Justin Riley * Kiorky * Laurent Dufrechou * Luis Pedro Coelho * Mani chandra * Mark E. Smith * Mark Voorhies * Martin Spacek * Michael Droettboom * MinRK * muzuiget * Nick Tarleton * Nicolas Rougier * Omar Andres Zapata Mesa * Paul Ivanov * Pauli Virtanen * Prabhu Ramachandran * Ramana * Robert Kern * Sathesh Chandra * Satrajit Ghosh * Sebastian Busch * Skipper Seabold * Stefan van der Walt * Stephan Peijnik * Steven Bethard * Thomas Kluyver * Thomas Spura * Tom Fetherston * Tom MacWright * tzanko * vankayala sowjanya * Vivian De Smedt * Ville M. Vainio * Vishal Vatsa * Vishnu S G * Walter Doerwald .. note:: This list was generated with the output of ``git log dev-0.11 HEAD --format='* %aN <%aE>' | sed 's/@/\-at\-/' | sed 's/<>//' | sort -u`` after some cleanup. If you should be on this list, please add yourself. ipython-2.4.1/docs/source/whatsnew/version0.12.rst0000644000076500000000000004043412466235755022302 0ustar minrkwheel00000000000000============= 0.12 Series ============= Release 0.12.1 ============== IPython 0.12.1 is a bugfix release of 0.12, pulling only bugfixes and minor cleanup from 0.13, timed for the Ubuntu 12.04 LTS release. See the :ref:`list of fixed issues ` for specific backported issues. Release 0.12 ============ IPython 0.12 contains several major new features, as well as a large amount of bug and regression fixes. The 0.11 release brought with it a lot of new functionality and major refactorings of the codebase; by and large this has proven to be a success as the number of contributions to the project has increased dramatically, proving that the code is now much more approachable. But in the refactoring inevitably some bugs were introduced, and we have also squashed many of those as well as recovered some functionality that had been temporarily disabled due to the API changes. The following major new features appear in this version. An interactive browser-based Notebook with rich media support ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ A powerful new interface puts IPython in your browser. You can start it with the command ``ipython notebook``: .. figure:: ../_images/notebook_specgram.png :width: 400px :alt: The IPython notebook with embedded text, code, math and figures. :align: center :target: ../_images/notebook_specgram.png The new IPython notebook showing text, mathematical expressions in LaTeX, code, results and embedded figures created with Matplotlib. This new interface maintains all the features of IPython you are used to, as it is a new client that communicates with the same IPython kernels used by the terminal and Qt console. But the web notebook provides for a different workflow where you can integrate, along with code execution, also text, mathematical expressions, graphics, video, and virtually any content that a modern browser is capable of displaying. You can save your work sessions as documents that retain all these elements and which can be version controlled, emailed to colleagues or saved as HTML or PDF files for printing or publishing statically on the web. The internal storage format is a JSON file that can be easily manipulated for manual exporting to other formats. This Notebook is a major milestone for IPython, as for years we have tried to build this kind of system. We were inspired originally by the excellent implementation in Mathematica, we made a number of attempts using older technologies in earlier Summer of Code projects in 2005 (both students and Robert Kern developed early prototypes), and in recent years we have seen the excellent implementation offered by the `Sage ` system. But we continued to work on something that would be consistent with the rest of IPython's design, and it is clear now that the effort was worth it: based on the ZeroMQ communications architecture introduced in version 0.11, the notebook can now retain 100% of the features of the real IPython. But it can also provide the rich media support and high quality Javascript libraries that were not available in browsers even one or two years ago (such as high-quality mathematical rendering or built-in video). The notebook has too many useful and important features to describe in these release notes; our documentation now contains a directory called ``examples/notebooks`` with several notebooks that illustrate various aspects of the system. You should start by reading those named ``00_notebook_tour.ipynb`` and ``01_notebook_introduction.ipynb`` first, and then can proceed to read the others in any order you want. To start the notebook server, go to a directory containing the notebooks you want to open (or where you want to create new ones) and type:: ipython notebook You can see all the relevant options with:: ipython notebook --help ipython notebook --help-all # even more and just like the Qt console, you can start the notebook server with pylab support by using:: ipython notebook --pylab for floating matplotlib windows or:: ipython notebook --pylab inline for plotting support with automatically inlined figures. Note that it is now possible also to activate pylab support at runtime via ``%pylab``, so you do not need to make this decision when starting the server. See :ref:`the Notebook docs ` for technical details. .. _two_process_console: Two-process terminal console ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Based on the same architecture as the notebook and the Qt console, we also have now a terminal-based console that can connect to an external IPython kernel (the same kernels used by the Qt console or the notebook, in fact). While this client behaves almost identically to the usual IPython terminal application, this capability can be very useful to attach an interactive console to an existing kernel that was started externally. It lets you use the interactive ``%debug`` facilities in a notebook, for example (the web browser can't interact directly with the debugger) or debug a third-party code where you may have embedded an IPython kernel. This is also something that we have wanted for a long time, and which is a culmination (as a team effort) of the work started last year during the 2010 Google Summer of Code project. Tabbed QtConsole ~~~~~~~~~~~~~~~~ The QtConsole now supports starting multiple kernels in tabs, and has a menubar, so it looks and behaves more like a real application. Keyboard enthusiasts can disable the menubar with ctrl-shift-M (:ghpull:`887`). .. figure:: ../_images/qtconsole_tabbed.png :width: 400px :alt: Tabbed IPython Qt console with embedded plots and menus. :align: center :target: ../_images/qtconsole_tabbed.png The improved Qt console for IPython, now with tabs to control multiple kernels and full menu support. Full Python 3 compatibility ~~~~~~~~~~~~~~~~~~~~~~~~~~~ IPython can now be installed from a single codebase on Python 2 and Python 3. The installation process for Python 3 automatically runs 2to3. The same 'default' profile is now used for Python 2 and 3 (the previous version had a separate 'python3' profile). Standalone Kernel ~~~~~~~~~~~~~~~~~ The ``ipython kernel`` subcommand has been added, to allow starting a standalone kernel, that can be used with various frontends. You can then later connect a Qt console or a terminal console to this kernel by typing e.g.:: ipython qtconsole --existing if it's the only one running, or by passing explicitly the connection parameters (printed by the kernel at startup). PyPy support ~~~~~~~~~~~~ The terminal interface to IPython now runs under `PyPy `_. We will continue to monitor PyPy's progress, and hopefully before long at least we'll be able to also run the notebook. The Qt console may take longer, as Qt is a very complex set of bindings to a huge C++ library, and that is currently the area where PyPy still lags most behind. But for everyday interactive use at the terminal, with this release and PyPy 1.7, things seem to work quite well from our admittedly limited testing. Other important new features ---------------------------- * **SSH Tunnels**: In 0.11, the :mod:`IPython.parallel` Client could tunnel its connections to the Controller via ssh. Now, the QtConsole :ref:`supports ` ssh tunneling, as do parallel engines. * **relaxed command-line parsing**: 0.11 was released with overly-strict command-line parsing, preventing the ability to specify arguments with spaces, e.g. ``ipython --pylab qt`` or ``ipython -c "print 'hi'"``. This has been fixed, by using argparse. The new parsing is a strict superset of 0.11, so any commands in 0.11 should still work in 0.12. * **HistoryAccessor**: The :class:`~IPython.core.history.HistoryManager` class for interacting with your IPython SQLite history database has been split, adding a parent :class:`~IPython.core.history.HistoryAccessor` class, so that users can write code to access and search their IPython history without being in an IPython session (:ghpull:`824`). * **kernel %gui and %pylab**: The ``%gui`` and ``%pylab`` magics have been restored to the IPython kernel (e.g. in the qtconsole or notebook). This allows activation of pylab-mode, or eventloop integration after starting the kernel, which was unavailable in 0.11. Unlike in the terminal, this can be set only once, and cannot be changed. * **%config**: A new ``%config`` magic has been added, giving easy access to the IPython configuration system at runtime (:ghpull:`923`). * **Multiline History**: Multiline readline history has been restored to the Terminal frontend by default (:ghpull:`838`). * **%store**: The ``%store`` magic from earlier versions has been updated and re-enabled (:ref:`extensions_storemagic`; :ghpull:`1029`). To autorestore stored variables on startup, specify ``c.StoreMagic.autorestore = True`` in :file:`ipython_config.py`. Major Bugs fixed ---------------- In this cycle, we have :ref:`closed over 500 issues `, but a few major ones merit special mention: * Simple configuration errors should no longer crash IPython. In 0.11, errors in config files, as well as invalid trait values, could crash IPython. Now, such errors are reported, and help is displayed. * Certain SyntaxErrors no longer crash IPython (e.g. just typing keywords, such as ``return``, ``break``, etc.). See :ghissue:`704`. * IPython path utils, such as :func:`~IPython.utils.path.get_ipython_dir` now check for write permissions, so IPython should function on systems where the default path resolution might point to a read-only location, such as ``HOMESHARE`` on Windows (:ghissue:`669`). * :func:`raw_input` now works in the kernel when multiple frontends are in use. The request will be sent to the frontend that made the request, and an exception is raised if that frontend does not support stdin requests (e.g. the notebook) (:ghissue:`673`). * :mod:`zmq` version detection no longer uses simple lexicographical comparison to check minimum version, which prevents 0.11 from working with pyzmq-2.1.10 (:ghpull:`758`). * A bug in PySide < 1.0.7 caused crashes on OSX when tooltips were shown (:ghissue:`711`). these tooltips are now disabled on old PySide (:ghpull:`963`). * IPython no longer crashes when started on recent versions of Python 3 in Windows (:ghissue:`737`). * Instances of classes defined interactively can now be pickled (:ghissue:`29`; :ghpull:`648`). Note that pickling saves a reference to the class definition, so unpickling the instances will only work where the class has been defined. Backwards incompatible changes ------------------------------ * IPython connection information is no longer specified via ip/port directly, rather via json connection files. These files are stored in the security directory, and enable us to turn on HMAC message authentication by default, significantly improving the security of kernels. Various utility functions have been added to :mod:`IPython.lib.kernel`, for easier connecting to existing kernels. * :class:`~IPython.zmq.kernelmanager.KernelManager` now has one ip, and several port traits, rather than several ip/port pair ``_addr`` traits. This better matches the rest of the code, where the ip cannot not be set separately for each channel. * Custom prompts are now configured using a new class, :class:`~IPython.core.prompts.PromptManager`, which has traits for :attr:`in_template`, :attr:`in2_template` (the ``...:`` continuation prompt), :attr:`out_template` and :attr:`rewrite_template`. This uses Python's string formatting system, so you can use ``{time}`` and ``{cwd}``, although we have preserved the abbreviations from previous versions, e.g. ``\#`` (prompt number) and ``\w`` (working directory). For the list of available fields, refer to the source of :file:`IPython/core/prompts.py`. * The class inheritance of the Launchers in :mod:`IPython.parallel.apps.launcher` used by ipcluster has changed, so that trait names are more consistent across batch systems. This may require a few renames in your config files, if you customized the command-line args for launching controllers and engines. The configurable names have also been changed to be clearer that they point to class names, and can now be specified by name only, rather than requiring the full import path of each class, e.g.:: IPClusterEngines.engine_launcher = 'IPython.parallel.apps.launcher.MPIExecEngineSetLauncher' IPClusterStart.controller_launcher = 'IPython.parallel.apps.launcher.SSHControllerLauncher' would now be specified as:: IPClusterEngines.engine_launcher_class = 'MPI' IPClusterStart.controller_launcher_class = 'SSH' The full path will still work, and is necessary for using custom launchers not in IPython's launcher module. Further, MPIExec launcher names are now prefixed with just MPI, to better match other batch launchers, and be generally more intuitive. The MPIExec names are deprecated, but continue to work. * For embedding a shell, note that the parameters ``user_global_ns`` and ``global_ns`` have been deprectated in favour of ``user_module`` and ``module`` respsectively. The new parameters expect a module-like object, rather than a namespace dict. The old parameters remain for backwards compatibility, although ``user_global_ns`` is now ignored. The ``user_ns`` parameter works the same way as before, and calling :func:`~IPython.frontend.terminal.embed.embed` with no arguments still works as before. Development summary and credits ------------------------------- The previous version (IPython 0.11) was released on July 31 2011, so this release cycle was roughly 4 1/2 months long, we closed a total of 515 issues, 257 pull requests and 258 regular issues (a :ref:`detailed list ` is available). Many users and developers contributed code, features, bug reports and ideas to this release. Please do not hesitate in contacting us if we've failed to acknowledge your contribution here. In particular, for this release we have had commits from the following 45 contributors, a mix of new and regular names (in alphabetical order by first name): * Alcides * Ben Edwards * Benjamin Ragan-Kelley * Benjamin Thyreau * Bernardo B. Marques * Bernard Paulus * Bradley M. Froehle * Brian E. Granger * Christian Boos * Daniel Velkov * Erik Tollerud * Evan Patterson * Felix Werner * Fernando Perez * Gabriel * Grahame Bowland * Hannes Schulz * Jens Hedegaard Nielsen * Jonathan March * Jörgen Stenarson * Julian Taylor * Kefu Chai * macgyver * Matt Cottingham * Matthew Brett * Matthias BUSSONNIER * Michael Droettboom * Nicolas Rougier * Olivier Verdier * Omar Andres Zapata Mesa * Pablo Winant * Paul Ivanov * Pauli Virtanen * Pete Aykroyd * Prabhu Ramachandran * Puneeth Chaganti * Robert Kern * Satrajit Ghosh * Stefan van der Walt * Szabolcs Horvát * Thomas Kluyver * Thomas Spura * Timo Paulssen * Valentin Haenel * Yaroslav Halchenko .. note:: This list was generated with the output of ``git log rel-0.11..HEAD --format='* %aN <%aE>' | sed 's/@/\-at\-/' | sed 's/<>//' | sort -u`` after some cleanup. If you should be on this list, please add yourself. ipython-2.4.1/docs/source/whatsnew/version0.13.rst0000644000076500000000000006753312466235755022314 0ustar minrkwheel00000000000000============= 0.13 Series ============= Release 0.13 ============ IPython 0.13 contains several major new features, as well as a large amount of bug and regression fixes. The previous version (0.12) was released on December 19 2011, and in this development cycle we had: - ~6 months of work. - 373 pull requests merged. - 742 issues closed (non-pull requests). - contributions from 62 authors. - 1760 commits. - a diff of 114226 lines. The amount of work included in this release is so large, that we can only cover here the main highlights; please see our :ref:`detailed release statistics ` for links to every issue and pull request closed on GitHub as well as a full list of individual contributors. Major Notebook improvements: new user interface and more -------------------------------------------------------- The IPython Notebook, which has proven since its release to be wildly popular, has seen a massive amount of work in this release cycle, leading to a significantly improved user experience as well as many new features. The first user-visible change is a reorganization of the user interface; the left panel has been removed and was replaced by a real menu system and a toolbar with icons. Both the toolbar and the header above the menu can be collapsed to leave an unobstructed working area: .. image:: ../_images/ipy_013_notebook_spectrogram.png :width: 460px :alt: New user interface for Notebook :align: center :target: ../_images/ipy_013_notebook_spectrogram.png The notebook handles very long outputs much better than before (this was a serious usability issue when running processes that generated massive amounts of output). Now, in the presence of outputs longer than ~100 lines, the notebook will automatically collapse to a scrollable area and the entire left part of this area controls the display: one click in this area will expand the output region completely, and a double-click will hide it completely. This figure shows both the scrolled and hidden modes: .. image:: ../_images/ipy_013_notebook_long_out.png :width: 460px :alt: Scrolling and hiding of long output in the notebook. :align: center :target: ../_images/ipy_013_notebook_long_out.png .. note:: The auto-folding of long outputs is disabled in Firefox due to bugs in its scrolling behavior. See :ghpull:`2047` for details. Uploading notebooks to the dashboard is now easier: in addition to drag and drop (which can be finicky sometimes), you can now click on the upload text and use a regular file dialog box to select notebooks to upload. Furthermore, the notebook dashboard now auto-refreshes its contents and offers buttons to shut down any running kernels (:ghpull:`1739`): .. image:: ../_images/ipy_013_dashboard.png :width: 460px :alt: Improved dashboard :align: center :target: ../_images/ipy_013_dashboard.png Cluster management ~~~~~~~~~~~~~~~~~~ The notebook dashboard can now also start and stop clusters, thanks to a new tab in the dashboard user interface: .. image:: ../_images/ipy_013_dashboard_cluster.png :width: 460px :alt: Cluster management from the notebook dashboard :align: center :target: ../_images/ipy_013_dashboard_cluster.png This interface allows, for each profile you have configured, to start and stop a cluster (and optionally override the default number of engines corresponding to that configuration). While this hides all error reporting, once you have a configuration that you know works smoothly, it is a very convenient interface for controlling your parallel resources. New notebook format ~~~~~~~~~~~~~~~~~~~ The notebooks saved now use version 3 of our format, which supports heading levels as well as the concept of 'raw' text cells that are not rendered as Markdown. These will be useful with converters_ we are developing, to pass raw markup (say LaTeX). That conversion code is still under heavy development and not quite ready for prime time, but we welcome help on this front so that we can merge it for full production use as soon as possible. .. _converters: https://github.com/ipython/nbconvert .. note:: v3 notebooks can *not* be read by older versions of IPython, but we provide a `simple script`_ that you can use in case you need to export a v3 notebook to share with a v2 user. .. _simple script: https://gist.github.com/1935808 JavaScript refactoring ~~~~~~~~~~~~~~~~~~~~~~ All the client-side JavaScript has been decoupled to ease reuse of parts of the machinery without having to build a full-blown notebook. This will make it much easier to communicate with an IPython kernel from existing web pages and to integrate single cells into other sites, without loading the full notebook document-like UI. :ghpull:`1711`. This refactoring also enables the possibility of writing dynamic javascript widgets that are returned from Python code and that present an interactive view to the user, with callbacks in Javascript executing calls to the Kernel. This will enable many interactive elements to be added by users in notebooks. An example of this capability has been provided as a proof of concept in :file:`examples/widgets` that lets you directly communicate with one or more parallel engines, acting as a mini-console for parallel debugging and introspection. Improved tooltips ~~~~~~~~~~~~~~~~~ The object tooltips have gained some new functionality. By pressing tab several times, you can expand them to see more of a docstring, keep them visible as you fill in a function's parameters, or transfer the information to the pager at the bottom of the screen. For the details, look at the example notebook :file:`01_notebook_introduction.ipynb`. .. figure:: ../_images/ipy_013_notebook_tooltip.png :width: 460px :alt: Improved tooltips in the notebook. :align: center :target: ../_images/ipy_013_notebook_tooltip.png The new notebook tooltips. Other improvements to the Notebook ---------------------------------- These are some other notable small improvements to the notebook, in addition to many bug fixes and minor changes to add polish and robustness throughout: * The notebook pager (the area at the bottom) is now resizeable by dragging its divider handle, a feature that had been requested many times by just about anyone who had used the notebook system. :ghpull:`1705`. * It is now possible to open notebooks directly from the command line; for example: ``ipython notebook path/`` will automatically set ``path/`` as the notebook directory, and ``ipython notebook path/foo.ipynb`` will further start with the ``foo.ipynb`` notebook opened. :ghpull:`1686`. * If a notebook directory is specified with ``--notebook-dir`` (or with the corresponding configuration flag ``NotebookManager.notebook_dir``), all kernels start in this directory. * Fix codemirror clearing of cells with ``Ctrl-Z``; :ghpull:`1965`. * Text (markdown) cells now line wrap correctly in the notebook, making them much easier to edit :ghpull:`1330`. * PNG and JPEG figures returned from plots can be interactively resized in the notebook, by dragging them from their lower left corner. :ghpull:`1832`. * Clear ``In []`` prompt numbers on "Clear All Output". For more version-control-friendly ``.ipynb`` files, we now strip all prompt numbers when doing a "Clear all output". This reduces the amount of noise in commit-to-commit diffs that would otherwise show the (highly variable) prompt number changes. :ghpull:`1621`. * The notebook server now requires *two* consecutive ``Ctrl-C`` within 5 seconds (or an interactive confirmation) to terminate operation. This makes it less likely that you will accidentally kill a long-running server by typing ``Ctrl-C`` in the wrong terminal. :ghpull:`1609`. * Using ``Ctrl-S`` (or ``Cmd-S`` on a Mac) actually saves the notebook rather than providing the fairly useless browser html save dialog. :ghpull:`1334`. * Allow accessing local files from the notebook (in urls), by serving any local file as the url ``files/``. This makes it possible to, for example, embed local images in a notebook. :ghpull:`1211`. Cell magics ----------- We have completely refactored the magic system, finally moving the magic objects to standalone, independent objects instead of being the mixin class we'd had since the beginning of IPython (:ghpull:`1732`). Now, a separate base class is provided in :class:`IPython.core.magic.Magics` that users can subclass to create their own magics. Decorators are also provided to create magics from simple functions without the need for object orientation. Please see the :ref:`magic` docs for further details. All builtin magics now exist in a few subclasses that group together related functionality, and the new :mod:`IPython.core.magics` package has been created to organize this into smaller files. This cleanup was the last major piece of deep refactoring needed from the original 2001 codebase. We have also introduced a new type of magic function, prefixed with `%%` instead of `%`, which operates at the whole-cell level. A cell magic receives two arguments: the line it is called on (like a line magic) and the body of the cell below it. Cell magics are most natural in the notebook, but they also work in the terminal and qt console, with the usual approach of using a blank line to signal cell termination. For example, to time the execution of several statements:: %%timeit x = 0 # setup for i in range(100000): x += i**2 This is particularly useful to integrate code in another language, and cell magics already exist for shell scripts, Cython, R and Octave. Using ``%%script /usr/bin/foo``, you can run a cell in any interpreter that accepts code via stdin. Another handy cell magic makes it easy to write short text files: ``%%file ~/save/to/here.txt``. The following cell magics are now included by default; all those that use special interpreters (Perl, Ruby, bash, etc.) assume you have the requisite interpreter installed: * ``%%!``: run cell body with the underlying OS shell; this is similar to prefixing every line in the cell with ``!``. * ``%%bash``: run cell body under bash. * ``%%capture``: capture the output of the code in the cell (and stderr as well). Useful to run codes that produce too much output that you don't even want scrolled. * ``%%file``: save cell body as a file. * ``%%perl``: run cell body using Perl. * ``%%prun``: run cell body with profiler (cell extension of ``%prun``). * ``%%python3``: run cell body using Python 3. * ``%%ruby``: run cell body using Ruby. * ``%%script``: run cell body with the script specified in the first line. * ``%%sh``: run cell body using sh. * ``%%sx``: run cell with system shell and capture process output (cell extension of ``%sx``). * ``%%system``: run cell with system shell (``%%!`` is an alias to this). * ``%%timeit``: time the execution of the cell (extension of ``%timeit``). This is what some of the script-related magics look like in action: .. image:: ../_images/ipy_013_notebook_script_cells.png :width: 460px :alt: Cluster management from the notebook dashboard :align: center :target: ../_images/ipy_013_notebook_script_cells.png In addition, we have also a number of :ref:`extensions ` that provide specialized magics. These typically require additional software to run and must be manually loaded via ``%load_ext ``, but are extremely useful. The following extensions are provided: **Cython magics** (extension :ref:`cythonmagic `) This extension provides magics to automatically build and compile Python extension modules using the Cython_ language. You must install Cython separately, as well as a C compiler, for this to work. The examples directory in the source distribution ships with a full notebook demonstrating these capabilities: .. image:: ../_images/ipy_013_notebook_cythonmagic.png :width: 460px :alt: Cython magic :align: center :target: ../_images/ipy_013_notebook_cythonmagic.png .. _cython: http://cython.org **Octave magics** (extension :ref:`octavemagic `) This extension provides several magics that support calling code written in the Octave_ language for numerical computing. You can execute single-lines or whole blocks of Octave code, capture both output and figures inline (just like matplotlib plots), and have variables automatically converted between the two languages. To use this extension, you must have Octave installed as well as the oct2py_ package. The examples directory in the source distribution ships with a full notebook demonstrating these capabilities: .. image:: ../_images/ipy_013_notebook_octavemagic.png :width: 460px :alt: Octave magic :align: center :target: ../_images/ipy_013_notebook_octavemagic.png .. _octave: http://www.gnu.org/software/octave .. _oct2py: http://pypi.python.org/pypi/oct2py **R magics** (extension :ref:`rmagic `) This extension provides several magics that support calling code written in the R_ language for statistical data analysis. You can execute single-lines or whole blocks of R code, capture both output and figures inline (just like matplotlib plots), and have variables automatically converted between the two languages. To use this extension, you must have R installed as well as the rpy2_ package that bridges Python and R. The examples directory in the source distribution ships with a full notebook demonstrating these capabilities: .. image:: ../_images/ipy_013_notebook_rmagic.png :width: 460px :alt: R magic :align: center :target: ../_images/ipy_013_notebook_rmagic.png .. _R: http://www.r-project.org .. _rpy2: http://rpy.sourceforge.net/rpy2.html Tab completer improvements -------------------------- Useful tab-completion based on live inspection of objects is one of the most popular features of IPython. To make this process even more user-friendly, the completers of both the Qt console and the Notebook have been reworked. The Qt console comes with a new ncurses-like tab completer, activated by default, which lets you cycle through the available completions by pressing tab, or select a completion with the arrow keys (:ghpull:`1851`). .. figure:: ../_images/ipy_013_qtconsole_completer.png :width: 460px :alt: ncurses-like completer, with highlighted selection. :align: center :target: ../_images/ipy_013_qtconsole_completer.png The new improved Qt console's ncurses-like completer allows to easily navigate thought long list of completions. In the notebook, completions are now sourced both from object introspection and analysis of surrounding code, so limited completions can be offered for variables defined in the current cell, or while the kernel is busy (:ghpull:`1711`). We have implemented a new configurable flag to control tab completion on modules that provide the ``__all__`` attribute:: IPCompleter.limit_to__all__= Boolean This instructs the completer to honor ``__all__`` for the completion. Specifically, when completing on ``object.``, if True: only those names in ``obj.__all__`` will be included. When False [default]: the ``__all__`` attribute is ignored. :ghpull:`1529`. Improvements to the Qt console ------------------------------ The Qt console continues to receive improvements and refinements, despite the fact that it is by now a fairly mature and robust component. Lots of small polish has gone into it, here are a few highlights: * A number of changes were made to the underlying code for easier integration into other projects such as Spyder_ (:ghpull:`2007`, :ghpull:`2024`). * Improved menus with a new Magic menu that is organized by magic groups (this was made possible by the reorganization of the magic system internals). :ghpull:`1782`. * Allow for restarting kernels without clearing the qtconsole, while leaving a visible indication that the kernel has restarted. :ghpull:`1681`. * Allow the native display of jpeg images in the qtconsole. :ghpull:`1643`. .. _spyder: https://code.google.com/p/spyderlib Parallel -------- The parallel tools have been improved and fine-tuned on multiple fronts. Now, the creation of an :class:`IPython.parallel.Client` object automatically activates a line and cell magic function ``px`` that sends its code to all the engines. Further magics can be easily created with the :meth:`.Client.activate` method, to conveniently execute code on any subset of engines. :ghpull:`1893`. The ``%%px`` cell magic can also be given an optional targets argument, as well as a ``--out`` argument for storing its output. A new magic has also been added, ``%pxconfig``, that lets you configure various defaults of the parallel magics. As usual, type ``%pxconfig?`` for details. The exception reporting in parallel contexts has been improved to be easier to read. Now, IPython directly reports the remote exceptions without showing any of the internal execution parts: .. image:: ../_images/ipy_013_par_tb.png :width: 460px :alt: Improved parallel exceptions. :align: center :target: ../_images/ipy_013_par_tb.png The parallel tools now default to using ``NoDB`` as the storage backend for intermediate results. This means that the default usage case will have a significantly reduced memory footprint, though certain advanced features are not available with this backend. For more details, see :ref:`parallel_db`. The parallel magics now display all output, so you can do parallel plotting or other actions with complex display. The ``px`` magic has now both line and cell modes, and in cell mode finer control has been added about how to collate output from multiple engines. :ghpull:`1768`. There have also been incremental improvements to the SSH launchers: * add to_send/fetch steps for moving connection files around. * add SSHProxyEngineSetLauncher, for invoking to `ipcluster engines` on a remote host. This can be used to start a set of engines via PBS/SGE/MPI *remotely*. This makes the SSHLauncher usable on machines without shared filesystems. A number of 'sugar' methods/properties were added to AsyncResult that are quite useful (:ghpull:`1548`) for everday work: * ``ar.wall_time`` = received - submitted * ``ar.serial_time`` = sum of serial computation time * ``ar.elapsed`` = time since submission (wall_time if done) * ``ar.progress`` = (int) number of sub-tasks that have completed * ``len(ar)`` = # of tasks * ``ar.wait_interactive()``: prints progress Added :meth:`.Client.spin_thread` / :meth:`~.Client.stop_spin_thread` for running spin in a background thread, to keep zmq queue clear. This can be used to ensure that timing information is as accurate as possible (at the cost of having a background thread active). Set TaskScheduler.hwm default to 1 instead of 0. 1 has more predictable/intuitive behavior, if often slower, and thus a more logical default. Users whose workloads require maximum throughput and are largely homogeneous in time per task can make the optimization themselves, but now the behavior will be less surprising to new users. :ghpull:`1294`. Kernel/Engine unification ------------------------- This is mostly work 'under the hood', but it is actually a *major* achievement for the project that has deep implications in the long term: at last, we have unified the main object that executes as the user's interactive shell (which we refer to as the *IPython kernel*) with the objects that run in all the worker nodes of the parallel computing facilities (the *IPython engines*). Ever since the first implementation of IPython's parallel code back in 2006, we had wanted to have these two roles be played by the same machinery, but a number of technical reasons had prevented that from being true. In this release we have now merged them, and this has a number of important consequences: * It is now possible to connect any of our clients (qtconsole or terminal console) to any individual parallel engine, with the *exact* behavior of working at a 'regular' IPython console/qtconsole. This makes debugging, plotting, etc. in parallel scenarios vastly easier. * Parallel engines can always execute arbitrary 'IPython code', that is, code that has magics, shell extensions, etc. In combination with the ``%%px`` magics, it is thus extremely natural for example to send to all engines a block of Cython or R code to be executed via the new Cython and R magics. For example, this snippet would send the R block to all active engines in a cluster:: %%px %%R ... R code goes here * It is possible to embed not only an interactive shell with the :func:`IPython.embed` call as always, but now you can also embed a *kernel* with :func:`IPython.embed_kernel()`. Embedding an IPython kernel in an application is useful when you want to use :func:`IPython.embed` but don't have a terminal attached on stdin and stdout. * The new :func:`IPython.parallel.bind_kernel` allows you to promote Engines to listening Kernels, and connect QtConsoles to an Engine and debug it directly. In addition, having a single core object through our entire architecture also makes the project conceptually cleaner, easier to maintain and more robust. This took a lot of work to get in place, but we are thrilled to have this major piece of architecture finally where we'd always wanted it to be. Official Public API ------------------- We have begun organizing our API for easier public use, with an eye towards an official IPython 1.0 release which will firmly maintain this API compatible for its entire lifecycle. There is now an :mod:`IPython.display` module that aggregates all display routines, and the :mod:`IPython.config` namespace has all public configuration tools. We will continue improving our public API layout so that users only need to import names one level deeper than the main ``IPython`` package to access all public namespaces. IPython notebook file icons --------------------------- The directory ``docs/resources`` in the source distribution contains SVG and PNG versions of our file icons, as well as an ``Info.plist.example`` file with instructions to install them on Mac OSX. This is a first draft of our icons, and we encourage contributions from users with graphic talent to improve them in the future: .. image:: ../../resources/ipynb_icon_128x128.png :alt: IPython notebook file icon. New top-level `locate` command ------------------------------ Add `locate` entry points; these would be useful for quickly locating IPython directories and profiles from other (non-Python) applications. :ghpull:`1762`. Examples:: $> ipython locate /Users/me/.ipython $> ipython locate profile foo /Users/me/.ipython/profile_foo $> ipython locate profile /Users/me/.ipython/profile_default $> ipython locate profile dne [ProfileLocate] Profile u'dne' not found. Other new features and improvements ----------------------------------- * **%install_ext**: A new magic function to install an IPython extension from a URL. E.g. ``%install_ext https://bitbucket.org/birkenfeld/ipython-physics/raw/default/physics.py``. * The ``%loadpy`` magic is no longer restricted to Python files, and has been renamed ``%load``. The old name remains as an alias. * New command line arguments will help external programs find IPython folders: ``ipython locate`` finds the user's IPython directory, and ``ipython locate profile foo`` finds the folder for the 'foo' profile (if it exists). * The :envvar:`IPYTHON_DIR` environment variable, introduced in the Great Reorganization of 0.11 and existing only in versions 0.11-0.13, has been deprecated. As described in :ghpull:`1167`, the complexity and confusion of migrating to this variable is not worth the aesthetic improvement. Please use the historical :envvar:`IPYTHONDIR` environment variable instead. * The default value of *interactivity* passed from :meth:`~IPython.core.interactiveshell.InteractiveShell.run_cell` to :meth:`~IPython.core.interactiveshell.InteractiveShell.run_ast_nodes` is now configurable. * New ``%alias_magic`` function to conveniently create aliases of existing magics, if you prefer to have shorter names for personal use. * We ship unminified versions of the JavaScript libraries we use, to better comply with Debian's packaging policies. * Simplify the information presented by ``obj?/obj??`` to eliminate a few redundant fields when possible. :ghpull:`2038`. * Improved continuous integration for IPython. We now have automated test runs on `Shining Panda `_ and `Travis-CI `_, as well as `Tox support `_. * The `vim-ipython`_ functionality (externally developed) has been updated to the latest version. .. _vim-ipython: https://github.com/ivanov/vim-ipython * The ``%save`` magic now has a ``-f`` flag to force overwriting, which makes it much more usable in the notebook where it is not possible to reply to interactive questions from the kernel. :ghpull:`1937`. * Use dvipng to format sympy.Matrix, enabling display of matrices in the Qt console with the sympy printing extension. :ghpull:`1861`. * Our messaging protocol now has a reasonable test suite, helping ensure that we don't accidentally deviate from the spec and possibly break third-party applications that may have been using it. We encourage users to contribute more stringent tests to this part of the test suite. :ghpull:`1627`. * Use LaTeX to display, on output, various built-in types with the SymPy printing extension. :ghpull:`1399`. * Add Gtk3 event loop integration and example. :ghpull:`1588`. * ``clear_output`` improvements, which allow things like progress bars and other simple animations to work well in the notebook (:ghpull:`1563`): * `clear_output()` clears the line, even in terminal IPython, the QtConsole and plain Python as well, by printing `\r` to streams. * `clear_output()` avoids the flicker in the notebook by adding a delay, and firing immediately upon the next actual display message. * `display_javascript` hides its `output_area` element, so using display to run a bunch of javascript doesn't result in ever-growing vertical space. * Add simple support for running inside a virtualenv. While this doesn't supplant proper installation (as users should do), it helps ad-hoc calling of IPython from inside a virtualenv. :ghpull:`1388`. Major Bugs fixed ---------------- In this cycle, we have :ref:`closed over 740 issues `, but a few major ones merit special mention: * The ``%pastebin`` magic has been updated to point to gist.github.com, since unfortunately http://paste.pocoo.org has closed down. We also added a -d flag for the user to provide a gist description string. :ghpull:`1670`. * Fix ``%paste`` that would reject certain valid inputs. :ghpull:`1258`. * Fix sending and receiving of Numpy structured arrays (those with composite dtypes, often used as recarrays). :ghpull:`2034`. * Reconnect when the websocket connection closes unexpectedly. :ghpull:`1577`. * Fix truncated representation of objects in the debugger by showing at least 80 characters' worth of information. :ghpull:`1793`. * Fix logger to be Unicode-aware: logging could crash ipython if there was unicode in the input. :ghpull:`1792`. * Fix images missing from XML/SVG export in the Qt console. :ghpull:`1449`. * Fix deepreload on Python 3. :ghpull:`1625`, as well as having a much cleaner and more robust implementation of deepreload in general. :ghpull:`1457`. Backwards incompatible changes ------------------------------ * The exception :exc:`IPython.core.error.TryNext` previously accepted arguments and keyword arguments to be passed to the next implementation of the hook. This feature was removed as it made error message propagation difficult and violated the principle of loose coupling. ipython-2.4.1/docs/source/whatsnew/version0.8.rst0000644000076500000000000000162012466235755022221 0ustar minrkwheel00000000000000======================================== 0.8 series ======================================== Release 0.8.4 ============= This was a quick release to fix an unfortunate bug that slipped into the 0.8.3 release. The ``--twisted`` option was disabled, as it turned out to be broken across several platforms. Release 0.8.3 ============= * pydb is now disabled by default (due to %run -d problems). You can enable it by passing -pydb command line argument to IPython. Note that setting it in config file won't work. Release 0.8.2 ============= * %pushd/%popd behave differently; now "pushd /foo" pushes CURRENT directory and jumps to /foo. The current behaviour is closer to the documented behaviour, and should not trip anyone. Older releases ============== Changes in earlier releases of IPython are described in the older file ``ChangeLog``. Please refer to this document for details. ipython-2.4.1/docs/source/whatsnew/version0.9.rst0000644000076500000000000003025612466235755022231 0ustar minrkwheel00000000000000======================================== 0.9 series ======================================== Release 0.9.1 ============= This release was quickly made to restore compatibility with Python 2.4, which version 0.9 accidentally broke. No new features were introduced, other than some additional testing support for internal use. Release 0.9 =========== New features ------------ * All furl files and security certificates are now put in a read-only directory named ~/.ipython/security. * A single function :func:`get_ipython_dir`, in :mod:`IPython.genutils` that determines the user's IPython directory in a robust manner. * Laurent's WX application has been given a top-level script called ipython-wx, and it has received numerous fixes. We expect this code to be architecturally better integrated with Gael's WX 'ipython widget' over the next few releases. * The Editor synchronization work by Vivian De Smedt has been merged in. This code adds a number of new editor hooks to synchronize with editors under Windows. * A new, still experimental but highly functional, WX shell by Gael Varoquaux. This work was sponsored by Enthought, and while it's still very new, it is based on a more cleanly organized arhictecture of the various IPython components. We will continue to develop this over the next few releases as a model for GUI components that use IPython. * Another GUI frontend, Cocoa based (Cocoa is the OSX native GUI framework), authored by Barry Wark. Currently the WX and the Cocoa ones have slightly different internal organizations, but the whole team is working on finding what the right abstraction points are for a unified codebase. * As part of the frontend work, Barry Wark also implemented an experimental event notification system that various ipython components can use. In the next release the implications and use patterns of this system regarding the various GUI options will be worked out. * IPython finally has a full test system, that can test docstrings with IPython-specific functionality. There are still a few pieces missing for it to be widely accessible to all users (so they can run the test suite at any time and report problems), but it now works for the developers. We are working hard on continuing to improve it, as this was probably IPython's major Achilles heel (the lack of proper test coverage made it effectively impossible to do large-scale refactoring). The full test suite can now be run using the :command:`iptest` command line program. * The notion of a task has been completely reworked. An `ITask` interface has been created. This interface defines the methods that tasks need to implement. These methods are now responsible for things like submitting tasks and processing results. There are two basic task types: :class:`IPython.kernel.task.StringTask` (this is the old `Task` object, but renamed) and the new :class:`IPython.kernel.task.MapTask`, which is based on a function. * A new interface, :class:`IPython.kernel.mapper.IMapper` has been defined to standardize the idea of a `map` method. This interface has a single `map` method that has the same syntax as the built-in `map`. We have also defined a `mapper` factory interface that creates objects that implement :class:`IPython.kernel.mapper.IMapper` for different controllers. Both the multiengine and task controller now have mapping capabilties. * The parallel function capabilities have been reworks. The major changes are that i) there is now an `@parallel` magic that creates parallel functions, ii) the syntax for multiple variable follows that of `map`, iii) both the multiengine and task controller now have a parallel function implementation. * All of the parallel computing capabilities from `ipython1-dev` have been merged into IPython proper. This resulted in the following new subpackages: :mod:`IPython.kernel`, :mod:`IPython.kernel.core`, :mod:`IPython.config`, :mod:`IPython.tools` and :mod:`IPython.testing`. * As part of merging in the `ipython1-dev` stuff, the `setup.py` script and friends have been completely refactored. Now we are checking for dependencies using the approach that matplotlib uses. * The documentation has been completely reorganized to accept the documentation from `ipython1-dev`. * We have switched to using Foolscap for all of our network protocols in :mod:`IPython.kernel`. This gives us secure connections that are both encrypted and authenticated. * We have a brand new `COPYING.txt` files that describes the IPython license and copyright. The biggest change is that we are putting "The IPython Development Team" as the copyright holder. We give more details about exactly what this means in this file. All developer should read this and use the new banner in all IPython source code files. * sh profile: ./foo runs foo as system command, no need to do !./foo anymore * String lists now support ``sort(field, nums = True)`` method (to easily sort system command output). Try it with ``a = !ls -l ; a.sort(1, nums=1)``. * '%cpaste foo' now assigns the pasted block as string list, instead of string * The ipcluster script now run by default with no security. This is done because the main usage of the script is for starting things on localhost. Eventually when ipcluster is able to start things on other hosts, we will put security back. * 'cd --foo' searches directory history for string foo, and jumps to that dir. Last part of dir name is checked first. If no matches for that are found, look at the whole path. Bug fixes --------- * The Windows installer has been fixed. Now all IPython scripts have ``.bat`` versions created. Also, the Start Menu shortcuts have been updated. * The colors escapes in the multiengine client are now turned off on win32 as they don't print correctly. * The :mod:`IPython.kernel.scripts.ipengine` script was exec'ing mpi_import_statement incorrectly, which was leading the engine to crash when mpi was enabled. * A few subpackages had missing ``__init__.py`` files. * The documentation is only created if Sphinx is found. Previously, the ``setup.py`` script would fail if it was missing. * Greedy ``cd`` completion has been disabled again (it was enabled in 0.8.4) as it caused problems on certain platforms. Backwards incompatible changes ------------------------------ * The ``clusterfile`` options of the :command:`ipcluster` command has been removed as it was not working and it will be replaced soon by something much more robust. * The :mod:`IPython.kernel` configuration now properly find the user's IPython directory. * In ipapi, the :func:`make_user_ns` function has been replaced with :func:`make_user_namespaces`, to support dict subclasses in namespace creation. * :class:`IPython.kernel.client.Task` has been renamed :class:`IPython.kernel.client.StringTask` to make way for new task types. * The keyword argument `style` has been renamed `dist` in `scatter`, `gather` and `map`. * Renamed the values that the rename `dist` keyword argument can have from `'basic'` to `'b'`. * IPython has a larger set of dependencies if you want all of its capabilities. See the `setup.py` script for details. * The constructors for :class:`IPython.kernel.client.MultiEngineClient` and :class:`IPython.kernel.client.TaskClient` no longer take the (ip,port) tuple. Instead they take the filename of a file that contains the FURL for that client. If the FURL file is in your IPYTHONDIR, it will be found automatically and the constructor can be left empty. * The asynchronous clients in :mod:`IPython.kernel.asyncclient` are now created using the factory functions :func:`get_multiengine_client` and :func:`get_task_client`. These return a `Deferred` to the actual client. * The command line options to `ipcontroller` and `ipengine` have changed to reflect the new Foolscap network protocol and the FURL files. Please see the help for these scripts for details. * The configuration files for the kernel have changed because of the Foolscap stuff. If you were using custom config files before, you should delete them and regenerate new ones. Changes merged in from IPython1 ------------------------------- New features ............ * Much improved ``setup.py`` and ``setupegg.py`` scripts. Because Twisted and zope.interface are now easy installable, we can declare them as dependencies in our setupegg.py script. * IPython is now compatible with Twisted 2.5.0 and 8.x. * Added a new example of how to use :mod:`ipython1.kernel.asynclient`. * Initial draft of a process daemon in :mod:`ipython1.daemon`. This has not been merged into IPython and is still in `ipython1-dev`. * The ``TaskController`` now has methods for getting the queue status. * The ``TaskResult`` objects not have information about how long the task took to run. * We are attaching additional attributes to exceptions ``(_ipython_*)`` that we use to carry additional info around. * New top-level module :mod:`asyncclient` that has asynchronous versions (that return deferreds) of the client classes. This is designed to users who want to run their own Twisted reactor. * All the clients in :mod:`client` are now based on Twisted. This is done by running the Twisted reactor in a separate thread and using the :func:`blockingCallFromThread` function that is in recent versions of Twisted. * Functions can now be pushed/pulled to/from engines using :meth:`MultiEngineClient.push_function` and :meth:`MultiEngineClient.pull_function`. * Gather/scatter are now implemented in the client to reduce the work load of the controller and improve performance. * Complete rewrite of the IPython docuementation. All of the documentation from the IPython website has been moved into docs/source as restructured text documents. PDF and HTML documentation are being generated using Sphinx. * New developer oriented documentation: development guidelines and roadmap. * Traditional ``ChangeLog`` has been changed to a more useful ``changes.txt`` file that is organized by release and is meant to provide something more relevant for users. Bug fixes ......... * Created a proper ``MANIFEST.in`` file to create source distributions. * Fixed a bug in the ``MultiEngine`` interface. Previously, multi-engine actions were being collected with a :class:`DeferredList` with ``fireononeerrback=1``. This meant that methods were returning before all engines had given their results. This was causing extremely odd bugs in certain cases. To fix this problem, we have 1) set ``fireononeerrback=0`` to make sure all results (or exceptions) are in before returning and 2) introduced a :exc:`CompositeError` exception that wraps all of the engine exceptions. This is a huge change as it means that users will have to catch :exc:`CompositeError` rather than the actual exception. Backwards incompatible changes .............................. * All names have been renamed to conform to the lowercase_with_underscore convention. This will require users to change references to all names like ``queueStatus`` to ``queue_status``. * Previously, methods like :meth:`MultiEngineClient.push` and :meth:`MultiEngineClient.push` used ``*args`` and ``**kwargs``. This was becoming a problem as we weren't able to introduce new keyword arguments into the API. Now these methods simple take a dict or sequence. This has also allowed us to get rid of the ``*All`` methods like :meth:`pushAll` and :meth:`pullAll`. These things are now handled with the ``targets`` keyword argument that defaults to ``'all'``. * The :attr:`MultiEngineClient.magicTargets` has been renamed to :attr:`MultiEngineClient.targets`. * All methods in the MultiEngine interface now accept the optional keyword argument ``block``. * Renamed :class:`RemoteController` to :class:`MultiEngineClient` and :class:`TaskController` to :class:`TaskClient`. * Renamed the top-level module from :mod:`api` to :mod:`client`. * Most methods in the multiengine interface now raise a :exc:`CompositeError` exception that wraps the user's exceptions, rather than just raising the raw user's exception. * Changed the ``setupNS`` and ``resultNames`` in the ``Task`` class to ``push`` and ``pull``. ipython-2.4.1/docs/source/whatsnew/version1.0.rst0000644000076500000000000003127112466235755022217 0ustar minrkwheel00000000000000============ 1.0 Series ============ Release 1.0.0: An Afternoon Hack ================================ IPython 1.0 requires Python ≥ 2.6.5 or ≥ 3.2.1. It does not support Python 3.0, 3.1, or 2.5. This is a big release. The principal milestone is the addition of :mod:`IPython.nbconvert`, but there has been a great deal of work improving all parts of IPython as well. The previous version (0.13) was released on June 30, 2012, and in this development cycle we had: - ~12 months of work. - ~700 pull requests merged. - ~600 issues closed (non-pull requests). - contributions from ~150 authors. - ~4000 commits. The amount of work included in this release is so large that we can only cover here the main highlights; please see our :ref:`detailed release statistics ` for links to every issue and pull request closed on GitHub as well as a full list of individual contributors. It includes Reorganization -------------- There have been two major reorganizations in IPython 1.0: - Added :mod:`IPython.kernel` for all kernel-related code. This means that :mod:`IPython.zmq` has been removed, and much of it is now in :mod:`IPython.kernel.zmq`, some of it being in the top-level :mod:`IPython.kernel`. - We have removed the `frontend` subpackage, as it caused unnecessary depth. So what was :mod:`IPython.frontend.qt` is now :mod:`IPython.qt`, and so on. The one difference is that the notebook has been further flattened, so that :mod:`IPython.frontend.html.notebook` is now just `IPython.html`. There is a shim module, so :mod:`IPython.frontend` is still importable in 1.0, but there will be a warning. - The IPython sphinx directives are now installed in :mod:`IPython.sphinx`, so they can be imported by other projects. Public APIs ----------- For the first time since 0.10 (sorry, everyone), there is an official public API for starting IPython: .. sourcecode:: python from IPython import start_ipython start_ipython() This is what packages should use that start their own IPython session, but don't actually want embedded IPython (most cases). :func:`IPython.embed()` is used for embedding IPython into the calling namespace, similar to calling :func:`Pdb.set_trace`, whereas :func:`start_ipython` will start a plain IPython session, loading config and startup files as normal. We also have added: .. sourcecode:: python from IPython import get_ipython Which is a *library* function for getting the current IPython instance, and will return ``None`` if no IPython instance is running. This is the official way to check whether your code is called from inside an IPython session. If you want to check for IPython without unnecessarily importing IPython, use this function: .. sourcecode:: python def get_ipython(): """return IPython instance if there is one, None otherwise""" import sys if "IPython" in sys.modules: import IPython return IPython.get_ipython() Core ---- - The input transformation framework has been reworked. This fixes some corner cases, and adds more flexibility for projects which use IPython, like SymPy & SAGE. For more details, see :doc:`/config/inputtransforms`. - Exception types can now be displayed with a custom traceback, by defining a ``_render_traceback_()`` method which returns a list of strings, each containing one line of the traceback. - A new command, ``ipython history trim`` can be used to delete everything but the last 1000 entries in the history database. - ``__file__`` is defined in both config files at load time, and ``.ipy`` files executed with ``%run``. - ``%logstart`` and ``%logappend`` are no longer broken. - Add glob expansion for ``%run``, e.g. ``%run -g script.py *.txt``. - Expand variables (``$foo``) in Cell Magic argument line. - By default, :command:`iptest` will exclude various slow tests. All tests can be run with :command:`iptest --all`. - SQLite history can be disabled in the various cases that it does not behave well. - ``%edit`` works on interactively defined variables. - editor hooks have been restored from quarantine, enabling TextMate as editor, etc. - The env variable PYTHONSTARTUP is respected by IPython. - The ``%matplotlib`` magic was added, which is like the old ``%pylab`` magic, but it does not import anything to the interactive namespace. It is recommended that users switch to ``%matplotlib`` and explicit imports. - The ``--matplotlib`` command line flag was also added. It invokes the new ``%matplotlib`` magic and can be used in the same way as the old ``--pylab`` flag. You can either use it by itself as a flag (``--matplotlib``), or you can also pass a backend explicitly (``--matplotlib qt`` or ``--matplotlib=wx``, etc). Backwards incompatible changes ****************************** - Calling :meth:`InteractiveShell.prefilter` will no longer perform static transformations - the processing of escaped commands such as ``%magic`` and ``!system``, and stripping input prompts from code blocks. This functionality was duplicated in :mod:`IPython.core.inputsplitter`, and the latter version was already what IPython relied on. A new API to transform input will be ready before release. - Functions from :mod:`IPython.lib.inputhook` to control integration with GUI event loops are no longer exposed in the top level of :mod:`IPython.lib`. Code calling these should make sure to import them from :mod:`IPython.lib.inputhook`. - For all kernel managers, the ``sub_channel`` attribute has been renamed to ``iopub_channel``. - Users on Python versions before 2.6.6, 2.7.1 or 3.2 will now need to call :func:`IPython.utils.doctestreload.doctest_reload` to make doctests run correctly inside IPython. Python releases since those versions are unaffected. For details, see :ghpull:`3068` and `Python issue 8048 `_. - The ``InteractiveShell.cache_main_mod()`` method has been removed, and :meth:`~IPython.core.interactiveshell.InteractiveShell.new_main_mod` has a different signature, expecting a filename where earlier versions expected a namespace. See :ghpull:`3555` for details. - The short-lived plugin system has been removed. Extensions are the way to go. .. _nbconvert1: NbConvert --------- The major milestone for IPython 1.0 is the addition of :mod:`IPython.nbconvert` - tools for converting IPython notebooks to various other formats. .. warning:: nbconvert is α-level preview code in 1.0 To use nbconvert to convert various file formats:: ipython nbconvert --to html *.ipynb See ``ipython nbconvert --help`` for more information. nbconvert depends on `pandoc`_ for many of the translations to and from various formats. .. seealso:: :ref:`nbconvert` .. _pandoc: http://johnmacfarlane.net/pandoc/ Notebook -------- Major changes to the IPython Notebook in 1.0: - The notebook is now autosaved, by default at an interval of two minutes. When you press 'save' or Ctrl-S, a *checkpoint* is made, in a hidden folder. This checkpoint can be restored, so that the autosave model is strictly safer than traditional save. If you change nothing about your save habits, you will always have a checkpoint that you have written, and an autosaved file that is kept up to date. - The notebook supports :func:`raw_input` / :func:`input`, and thus also ``%debug``, and many other Python calls that expect user input. - You can load custom javascript and CSS in the notebook by editing the files :file:`$(ipython locate profile)/static/custom/custom.{js,css}`. - Add ``%%html``, ``%%svg``, ``%%javascript``, and ``%%latex`` cell magics for writing raw output in notebook cells. - add a redirect handler and anchors on heading cells, so you can link across notebooks, directly to heading cells in other notebooks. - Images support width and height metadata, and thereby 2x scaling (retina support). - ``_repr_foo_`` methods can return a tuple of (data, metadata), where metadata is a dict containing metadata about the displayed object. This is used to set size, etc. for retina graphics. To enable retina matplotlib figures, simply set ``InlineBackend.figure_format = 'retina'`` for 2x PNG figures, in your :ref:`IPython config file ` or via the ``%config`` magic. - Add display.FileLink and FileLinks for quickly displaying HTML links to local files. - Cells have metadata, which can be edited via cell toolbars. This metadata can be used by external code (e.g. reveal.js or exporters), when examining the notebook. - Fix an issue parsing LaTeX in markdown cells, which required users to type ``\\\``, instead of ``\\``. - Notebook templates are rendered with Jinja instead of Tornado. - ``%%file`` has been renamed ``%%writefile`` (``%%file`` is deprecated). - ANSI (and VT100) color parsing has been improved in both performance and supported values. - The static files path can be found as ``IPython.html.DEFAULT_STATIC_FILES_PATH``, which may be changed by package managers. - IPython's CSS is installed in :file:`static/css/style.min.css` (all style, including bootstrap), and :file:`static/css/ipython.min.css`, which only has IPython's own CSS. The latter file should be useful for embedding IPython notebooks in other pages, blogs, etc. - The Print View has been removed. Users are encouraged to test :ref:`ipython nbconvert ` to generate a static view. Javascript Components ********************* The javascript components used in the notebook have been updated significantly. - updates to jQuery (2.0) and jQueryUI (1.10) - Update CodeMirror to 3.14 - Twitter Bootstrap (2.3) for layout - Font-Awesome (3.1) for icons - highlight.js (7.3) for syntax highlighting - marked (0.2.8) for markdown rendering - require.js (2.1) for loading javascript Some relevant changes that are results of this: - Markdown cells now support GitHub-flavored Markdown (GFM), which includes `````python`` code blocks and tables. - Notebook UI behaves better on more screen sizes. - Various code cell input issues have been fixed. Kernel ------ The kernel code has been substantially reorganized. New features in the kernel: - Kernels support ZeroMQ IPC transport, not just TCP - The message protocol has added a top-level metadata field, used for information about messages. - Add a `data_pub` message that functions much like `display_pub`, but publishes raw (usually pickled) data, rather than representations. - Ensure that ``sys.stdout.encoding`` is defined in Kernels. - Stdout from forked subprocesses should be forwarded to frontends (instead of crashing). IPEP 13 ******* The KernelManager has been split into a :class:`~.KernelManager` and a :class:`~.KernelClient`. The Manager owns a kernel and starts / signals / restarts it. There is always zero or one KernelManager per Kernel. Clients communicate with Kernels via zmq channels, and there can be zero-to-many Clients connected to a Kernel at any given time. The KernelManager now automatically restarts the kernel when it dies, rather than requiring user input at the notebook or QtConsole UI (which may or may not exist at restart time). In-process kernels ****************** The Python-language frontends, particularly the Qt console, may now communicate with in-process kernels, in addition to the traditional out-of-process kernels. An in-process kernel permits direct access to the kernel namespace, which is necessary in some applications. It should be understood, however, that the in-process kernel is not robust to bad user input and will block the main (GUI) thread while executing. Developers must decide on a case-by-case basis whether this tradeoff is appropriate for their application. Parallel -------- IPython.parallel has had some refactoring as well. There are many improvements and fixes, but these are the major changes: - Connections have been simplified. All ports and the serialization in use are written to the connection file, rather than the initial two-stage system. - Serialization has been rewritten, fixing many bugs and dramatically improving performance serializing large containers. - Load-balancing scheduler performance with large numbers of tasks has been dramatically improved. - There should be fewer (hopefully zero) false-positives for engine failures. - Increased compatibility with various use cases that produced serialization / argument errors with map, etc. - The controller can attempt to resume operation if it has crashed, by passing ``ipcontroller --restore``. - Engines can monitor the Hub heartbeat, and shutdown if the Hub disappears for too long. - add HTCondor support in launchers QtConsole --------- Various fixes, including improved performance with lots of text output, and better drag and drop support. The initial window size of the qtconsole is now configurable via ``IPythonWidget.width`` and ``IPythonWidget.height``. ipython-2.4.1/docs/source/whatsnew/version2.0.rst0000644000076500000000000003344312466235755022223 0ustar minrkwheel00000000000000============ 2.x Series ============ Release 2.4 =========== January, 2014 .. note:: Some of the patches marked for 2.4 were left out of 2.4.0. Please use 2.4.1. - backport read support for nbformat v4 from IPython 3 - support for PyQt5 in the kernel (not QtConsole) - support for Pygments 2.0 For more information on what fixes have been backported to 2.4, see our :ref:`detailed release info `. Release 2.3.1 ============= November, 2014 - Fix CRCRLF line-ending bug in notebooks on Windows For more information on what fixes have been backported to 2.3.1, see our :ref:`detailed release info `. Release 2.3.0 ============= October, 2014 - improve qt5 support - prevent notebook data loss with atomic writes For more information on what fixes have been backported to 2.3, see our :ref:`detailed release info `. Release 2.2.0 ============= August, 2014 - Add CORS configuration For more information on what fixes have been backported to 2.2, see our :ref:`detailed release info `. Release 2.1.0 ============= May, 2014 IPython 2.1 is the first bugfix release for 2.0. For more information on what fixes have been backported to 2.1, see our :ref:`detailed release info `. Release 2.0.0 ============= April, 2014 IPython 2.0 requires Python ≥ 2.7.2 or ≥ 3.3.0. It does not support Python 3.0, 3.1, 3.2, 2.5, or 2.6. The principal milestones of 2.0 are: - interactive widgets for the notebook - directory navigation in the notebook dashboard - persistent URLs for notebooks - a new modal user interface in the notebook - a security model for notebooks Contribution summary since IPython 1.0 in August, 2013: - ~8 months of work - ~650 pull requests merged - ~400 issues closed (non-pull requests) - contributions from ~100 authors - ~4000 commits The amount of work included in this release is so large that we can only cover here the main highlights; please see our :ref:`detailed release statistics ` for links to every issue and pull request closed on GitHub as well as a full list of individual contributors. New stuff in the IPython notebook --------------------------------- Directory navigation ******************** .. image:: /_images/2.0/treeview.png :width: 392px :alt: Directory navigation :align: center The IPython notebook dashboard allows navigation into subdirectories. URLs are persistent based on the notebook's path and name, so no more random UUID URLs. Serving local files no longer needs the ``files/`` prefix. Relative links across notebooks and other files should work just as if notebooks were regular HTML files. Interactive widgets ******************* .. image:: /_images/2.0/widgets.png :width: 392px :alt: Interactive widgets :align: center IPython 2.0 adds :mod:`IPython.html.widgets`, for manipulating Python objects in the kernel with GUI controls in the notebook. IPython comes with a few built-in widgets for simple data types, and an API designed for developers to build more complex widgets. See the `widget docs`_ for more information. .. _widget docs: http://nbviewer.ipython.org/github/ipython/ipython/blob/2.x/examples/Interactive%20Widgets/Index.ipynb Modal user interface ******************** The notebook has added separate Edit and Command modes, allowing easier keyboard commands and making keyboard shortcut customization possible. See the new `User Interface notebook`_ for more information. .. _User Interface Notebook: http://nbviewer.ipython.org/github/ipython/ipython/blob/2.x/examples/Notebook/User%20Interface.ipynb You can familiarize yourself with the updated notebook user interface, including an explanation of Edit and Command modes, by going through the short guided tour which can be started from the Help menu. .. image:: /_images/2.0/user-interface.png :width: 392px :alt: Interface tour :align: center Security ******** 2.0 introduces a :ref:`security model ` for notebooks, to prevent untrusted code from executing on users' behalf when notebooks open. A quick summary of the model: - Trust is determined by :ref:`signing notebooks`. - Untrusted HTML output is sanitized. - Untrusted Javascript is never executed. - HTML and Javascript in Markdown are never trusted. Dashboard "Running" tab *********************** .. image:: /_images/2.0/running-crop.png :width: 392px :alt: Running tab :align: center The dashboard now has a "Running" tab which shows all of the running notebooks. Single codebase Python 3 support -------------------------------- IPython previously supported Python 3 by running 2to3 during setup. We have now switched to a single codebase which runs natively on Python 2.7 and 3.3. For notes on how to maintain this, see :doc:`/development/pycompat`. Selecting matplotlib figure formats ----------------------------------- Deprecate single-format ``InlineBackend.figure_format`` configurable in favor of ``InlineBackend.figure_formats``, which is a set, supporting multiple simultaneous figure formats (e.g. png, pdf). This is available at runtime with the new API function :func:`IPython.display.set_matplotlib_formats`. clear_output changes -------------------- * There is no longer a 500ms delay when calling ``clear_output``. * The ability to clear stderr and stdout individually was removed. * A new ``wait`` flag that prevents ``clear_output`` from being executed until new output is available. This eliminates animation flickering by allowing the user to double buffer the output. * The output div height is remembered when the ``wait=True`` flag is used. Extending configurable containers --------------------------------- Some configurable traits are containers (list, dict, set) Config objects now support calling ``extend``, ``update``, ``insert``, etc. on traits in config files, which will ultimately result in calling those methods on the original object. The effect being that you can now add to containers without having to copy/paste the initial value:: c = get_config() c.InlineBackend.rc.update({ 'figure.figsize' : (6, 4) }) Changes to hidden namespace on startup -------------------------------------- Previously, all names declared in code run at startup (startup files, ``ipython -i script.py``, etc.) were added to the hidden namespace, which hides the names from tools like ``%whos``. There are two changes to this behavior: 1. Scripts run on the command-line ``ipython -i script.py``now behave the same as if they were passed to ``%run``, so their variables are never hidden. 2. A boolean config flag ``InteractiveShellApp.hide_initial_ns`` has been added to optionally disable the hidden behavior altogether. The default behavior is unchanged. Using dill to expand serialization support ------------------------------------------ The new function :func:`~IPython.utils.pickleutil.use_dill` allows dill to extend serialization support in :mod:`IPython.parallel` (closures, etc.). A :meth:`DirectView.use_dill` convenience method was also added, to enable dill locally and on all engines with one call. New IPython console lexer ------------------------- The IPython console lexer has been rewritten and now supports tracebacks and customized input/output prompts. See the :ref:`new lexer docs ` for details. DisplayFormatter changes ------------------------ There was no official way to query or remove callbacks in the Formatter API. To remedy this, the following methods are added to :class:`BaseFormatter`: - ``lookup(instance)`` - return appropriate callback or a given object - ``lookup_by_type(type_or_str)`` - return appropriate callback for a given type or ``'mod.name'`` type string - ``pop(type_or_str)`` - remove a type (by type or string). Pass a second argument to avoid KeyError (like dict). All of the above methods raise a KeyError if no match is found. And the following methods are changed: - ``for_type(type_or_str)`` - behaves the same as before, only adding support for ``'mod.name'`` type strings in addition to plain types. This removes the need for ``for_type_by_name()``, but it remains for backward compatibility. Formatters can now raise NotImplementedError in addition to returning None to indicate that they cannot format a given object. Exceptions and Warnings *********************** Exceptions are no longer silenced when formatters fail. Instead, these are turned into a :class:`~IPython.core.formatters.FormatterWarning`. A FormatterWarning will also be issued if a formatter returns data of an invalid type (e.g. an integer for 'image/png'). Other changes ------------- * `%%capture` cell magic now captures the rich display output, not just stdout/stderr * In notebook, Showing tooltip on tab has been disables to avoid conflict with completion, Shift-Tab could still be used to invoke tooltip when inside function signature and/or on selection. * ``object_info_request`` has been replaced by ``object_info`` for consistency in the javascript API. ``object_info`` is a simpler interface to register callback that is incompatible with ``object_info_request``. * Previous versions of IPython on Linux would use the XDG config directory, creating :file:`~/.config/ipython` by default. We have decided to go back to :file:`~/.ipython` for consistency among systems. IPython will issue a warning if it finds the XDG location, and will move it to the new location if there isn't already a directory there. * Equations, images and tables are now centered in Markdown cells. * Multiline equations are now centered in output areas; single line equations remain left justified. * IPython config objects can be loaded from and serialized to JSON. JSON config file have the same base name as their ``.py`` counterpart, and will be loaded with higher priority if found. * bash completion updated with support for all ipython subcommands and flags, including nbconvert * ``ipython history trim``: added ``--keep=`` as an alias for the more verbose ``--HistoryTrim.keep=`` * New ``ipython history clear`` subcommand, which is the same as the newly supported ``ipython history trim --keep=0`` * You can now run notebooks in an interactive session via ``%run notebook.ipynb``. * Print preview is back in the notebook menus, along with options to download the open notebook in various formats. This is powered by nbconvert. * :exc:`~IPython.nbconvert.utils.pandoc.PandocMissing` exceptions will be raised if Pandoc is unavailable, and warnings will be printed if the version found is too old. The recommended Pandoc version for use with nbconvert is 1.12.1. * The InlineBackend.figure_format now supports JPEG output if PIL/Pillow is available. * Input transformers (see :doc:`/config/inputtransforms`) may now raise :exc:`SyntaxError` if they determine that input is invalid. The input transformation machinery in IPython will handle displaying the exception to the user and resetting state. * Calling ``container.show()`` on javascript display is deprecated and will trigger errors on future IPython notebook versions. ``container`` now show itself as soon as non-empty * Added ``InlineBackend.print_figure_kwargs`` to allow passing keyword arguments to matplotlib's ``Canvas.print_figure``. This can be used to change the value of ``bbox_inches``, which is 'tight' by default, or set the quality of JPEG figures. * A new callback system has been introduced. For details, see :doc:`/config/callbacks`. * jQuery and require.js are loaded from CDNs in the default HTML template, so javascript is available in static HTML export (e.g. nbviewer). Backwards incompatible changes ------------------------------ * Python 2.6 and 3.2 are no longer supported: the minimum required Python versions are now 2.7 and 3.3. * The Transformer classes have been renamed to Preprocessor in nbconvert and their ``call`` methods have been renamed to ``preprocess``. * The ``call`` methods of nbconvert post-processsors have been renamed to ``postprocess``. * The module ``IPython.core.fakemodule`` has been removed. * The alias system has been reimplemented to use magic functions. There should be little visible difference while automagics are enabled, as they are by default, but parts of the :class:`~IPython.core.alias.AliasManager` API have been removed. * We fixed an issue with switching between matplotlib inline and GUI backends, but the fix requires matplotlib 1.1 or newer. So from now on, we consider matplotlib 1.1 to be the minimally supported version for IPython. Older versions for the most part will work, but we make no guarantees about it. * The :command:`pycolor` command has been removed. We recommend the much more capable :command:`pygmentize` command from the `Pygments `_ project. If you need to keep the exact output of :command:`pycolor`, you can still use ``python -m IPython.utils.PyColorize foo.py``. * :mod:`IPython.lib.irunner` and its command-line entry point have been removed. It had fallen out of use long ago. * The ``input_prefilter`` hook has been removed, as it was never actually used by the code. The input transformer system offers much more powerful APIs to work with input code. See :doc:`/config/inputtransforms` for details. * :class:`IPython.core.inputsplitter.IPythonInputSplitter` no longer has a method ``source_raw_reset()``, but gains :meth:`~IPython.core.inputsplitter.IPythonInputSplitter.raw_reset` instead. Use of ``source_raw_reset`` can be replaced with:: raw = isp.source_raw transformed = isp.source_reset() * The Azure notebook manager was removed as it was no longer compatible with the notebook storage scheme. * Simplifying configurable URLs - base_project_url is renamed to base_url (base_project_url is kept as a deprecated alias, for now) - base_kernel_url configurable is removed (use base_url) - websocket_url configurable is removed (use base_url) ipython-2.4.1/docs/sphinxext/0000755000076500000000000000000012466236022016433 5ustar minrkwheel00000000000000ipython-2.4.1/docs/sphinxext/apigen.py0000644000076500000000000003571512466235755020277 0ustar minrkwheel00000000000000"""Attempt to generate templates for module reference with Sphinx XXX - we exclude extension modules To include extension modules, first identify them as valid in the ``_uri2path`` method, then handle them in the ``_parse_module`` script. We get functions and classes by parsing the text of .py files. Alternatively we could import the modules for discovery, and we'd have to do that for extension modules. This would involve changing the ``_parse_module`` method to work via import and introspection, and might involve changing ``discover_modules`` (which determines which files are modules, and therefore which module URIs will be passed to ``_parse_module``). NOTE: this is a modified version of a script originally shipped with the PyMVPA project, which we've adapted for NIPY use. PyMVPA is an MIT-licensed project.""" from __future__ import print_function # Stdlib imports import ast import os import re class Obj(object): '''Namespace to hold arbitrary information.''' def __init__(self, **kwargs): for k, v in kwargs.items(): setattr(self, k, v) class FuncClsScanner(ast.NodeVisitor): """Scan a module for top-level functions and classes. Skips objects with an @undoc decorator, or a name starting with '_'. """ def __init__(self): ast.NodeVisitor.__init__(self) self.classes = [] self.classes_seen = set() self.functions = [] @staticmethod def has_undoc_decorator(node): return any(isinstance(d, ast.Name) and d.id == 'undoc' \ for d in node.decorator_list) def visit_If(self, node): if isinstance(node.test, ast.Compare) \ and isinstance(node.test.left, ast.Name) \ and node.test.left.id == '__name__': return # Ignore classes defined in "if __name__ == '__main__':" self.generic_visit(node) def visit_FunctionDef(self, node): if not (node.name.startswith('_') or self.has_undoc_decorator(node)) \ and node.name not in self.functions: self.functions.append(node.name) def visit_ClassDef(self, node): if not (node.name.startswith('_') or self.has_undoc_decorator(node)) \ and node.name not in self.classes_seen: cls = Obj(name=node.name) cls.has_init = any(isinstance(n, ast.FunctionDef) and \ n.name=='__init__' for n in node.body) self.classes.append(cls) self.classes_seen.add(node.name) def scan(self, mod): self.visit(mod) return self.functions, self.classes # Functions and classes class ApiDocWriter(object): ''' Class for automatic detection and parsing of API docs to Sphinx-parsable reST format''' # only separating first two levels rst_section_levels = ['*', '=', '-', '~', '^'] def __init__(self, package_name, rst_extension='.rst', package_skip_patterns=None, module_skip_patterns=None, ): ''' Initialize package for parsing Parameters ---------- package_name : string Name of the top-level package. *package_name* must be the name of an importable package rst_extension : string, optional Extension for reST files, default '.rst' package_skip_patterns : None or sequence of {strings, regexps} Sequence of strings giving URIs of packages to be excluded Operates on the package path, starting at (including) the first dot in the package path, after *package_name* - so, if *package_name* is ``sphinx``, then ``sphinx.util`` will result in ``.util`` being passed for earching by these regexps. If is None, gives default. Default is: ['\.tests$'] module_skip_patterns : None or sequence Sequence of strings giving URIs of modules to be excluded Operates on the module name including preceding URI path, back to the first dot after *package_name*. For example ``sphinx.util.console`` results in the string to search of ``.util.console`` If is None, gives default. Default is: ['\.setup$', '\._'] ''' if package_skip_patterns is None: package_skip_patterns = ['\\.tests$'] if module_skip_patterns is None: module_skip_patterns = ['\\.setup$', '\\._'] self.package_name = package_name self.rst_extension = rst_extension self.package_skip_patterns = package_skip_patterns self.module_skip_patterns = module_skip_patterns def get_package_name(self): return self._package_name def set_package_name(self, package_name): ''' Set package_name >>> docwriter = ApiDocWriter('sphinx') >>> import sphinx >>> docwriter.root_path == sphinx.__path__[0] True >>> docwriter.package_name = 'docutils' >>> import docutils >>> docwriter.root_path == docutils.__path__[0] True ''' # It's also possible to imagine caching the module parsing here self._package_name = package_name self.root_module = __import__(package_name) self.root_path = self.root_module.__path__[0] self.written_modules = None package_name = property(get_package_name, set_package_name, None, 'get/set package_name') def _uri2path(self, uri): ''' Convert uri to absolute filepath Parameters ---------- uri : string URI of python module to return path for Returns ------- path : None or string Returns None if there is no valid path for this URI Otherwise returns absolute file system path for URI Examples -------- >>> docwriter = ApiDocWriter('sphinx') >>> import sphinx >>> modpath = sphinx.__path__[0] >>> res = docwriter._uri2path('sphinx.builder') >>> res == os.path.join(modpath, 'builder.py') True >>> res = docwriter._uri2path('sphinx') >>> res == os.path.join(modpath, '__init__.py') True >>> docwriter._uri2path('sphinx.does_not_exist') ''' if uri == self.package_name: return os.path.join(self.root_path, '__init__.py') path = uri.replace('.', os.path.sep) path = path.replace(self.package_name + os.path.sep, '') path = os.path.join(self.root_path, path) # XXX maybe check for extensions as well? if os.path.exists(path + '.py'): # file path += '.py' elif os.path.exists(os.path.join(path, '__init__.py')): path = os.path.join(path, '__init__.py') else: return None return path def _path2uri(self, dirpath): ''' Convert directory path to uri ''' relpath = dirpath.replace(self.root_path, self.package_name) if relpath.startswith(os.path.sep): relpath = relpath[1:] return relpath.replace(os.path.sep, '.') def _parse_module(self, uri): ''' Parse module defined in *uri* ''' filename = self._uri2path(uri) if filename is None: # nothing that we could handle here. return ([],[]) with open(filename, 'rb') as f: mod = ast.parse(f.read()) return FuncClsScanner().scan(mod) def generate_api_doc(self, uri): '''Make autodoc documentation template string for a module Parameters ---------- uri : string python location of module - e.g 'sphinx.builder' Returns ------- S : string Contents of API doc ''' # get the names of all classes and functions functions, classes = self._parse_module(uri) if not len(functions) and not len(classes): #print ('WARNING: Empty -', uri) # dbg return '' # Make a shorter version of the uri that omits the package name for # titles uri_short = re.sub(r'^%s\.' % self.package_name,'',uri) ad = '.. AUTO-GENERATED FILE -- DO NOT EDIT!\n\n' # Set the chapter title to read 'Module:' for all modules except for the # main packages if '.' in uri: chap_title = 'Module: :mod:`' + uri_short + '`' else: chap_title = ':mod:`' + uri_short + '`' ad += chap_title + '\n' + self.rst_section_levels[1] * len(chap_title) ad += '\n.. automodule:: ' + uri + '\n' ad += '\n.. currentmodule:: ' + uri + '\n' if classes: subhead = str(len(classes)) + (' Classes' if len(classes) > 1 else ' Class') ad += '\n'+ subhead + '\n' + \ self.rst_section_levels[2] * len(subhead) + '\n' for c in classes: ad += '\n.. autoclass:: ' + c.name + '\n' # must NOT exclude from index to keep cross-refs working ad += ' :members:\n' \ ' :show-inheritance:\n' if c.has_init: ad += '\n .. automethod:: __init__\n' if functions: subhead = str(len(functions)) + (' Functions' if len(functions) > 1 else ' Function') ad += '\n'+ subhead + '\n' + \ self.rst_section_levels[2] * len(subhead) + '\n' for f in functions: # must NOT exclude from index to keep cross-refs working ad += '\n.. autofunction:: ' + uri + '.' + f + '\n\n' return ad def _survives_exclude(self, matchstr, match_type): ''' Returns True if *matchstr* does not match patterns ``self.package_name`` removed from front of string if present Examples -------- >>> dw = ApiDocWriter('sphinx') >>> dw._survives_exclude('sphinx.okpkg', 'package') True >>> dw.package_skip_patterns.append('^\\.badpkg$') >>> dw._survives_exclude('sphinx.badpkg', 'package') False >>> dw._survives_exclude('sphinx.badpkg', 'module') True >>> dw._survives_exclude('sphinx.badmod', 'module') True >>> dw.module_skip_patterns.append('^\\.badmod$') >>> dw._survives_exclude('sphinx.badmod', 'module') False ''' if match_type == 'module': patterns = self.module_skip_patterns elif match_type == 'package': patterns = self.package_skip_patterns else: raise ValueError('Cannot interpret match type "%s"' % match_type) # Match to URI without package name L = len(self.package_name) if matchstr[:L] == self.package_name: matchstr = matchstr[L:] for pat in patterns: try: pat.search except AttributeError: pat = re.compile(pat) if pat.search(matchstr): return False return True def discover_modules(self): ''' Return module sequence discovered from ``self.package_name`` Parameters ---------- None Returns ------- mods : sequence Sequence of module names within ``self.package_name`` Examples -------- >>> dw = ApiDocWriter('sphinx') >>> mods = dw.discover_modules() >>> 'sphinx.util' in mods True >>> dw.package_skip_patterns.append('\.util$') >>> 'sphinx.util' in dw.discover_modules() False >>> ''' modules = [self.package_name] # raw directory parsing for dirpath, dirnames, filenames in os.walk(self.root_path): # Check directory names for packages root_uri = self._path2uri(os.path.join(self.root_path, dirpath)) for dirname in dirnames[:]: # copy list - we modify inplace package_uri = '.'.join((root_uri, dirname)) if (self._uri2path(package_uri) and self._survives_exclude(package_uri, 'package')): modules.append(package_uri) else: dirnames.remove(dirname) # Check filenames for modules for filename in filenames: module_name = filename[:-3] module_uri = '.'.join((root_uri, module_name)) if (self._uri2path(module_uri) and self._survives_exclude(module_uri, 'module')): modules.append(module_uri) return sorted(modules) def write_modules_api(self, modules,outdir): # write the list written_modules = [] for m in modules: api_str = self.generate_api_doc(m) if not api_str: continue # write out to file outfile = os.path.join(outdir, m + self.rst_extension) fileobj = open(outfile, 'wt') fileobj.write(api_str) fileobj.close() written_modules.append(m) self.written_modules = written_modules def write_api_docs(self, outdir): """Generate API reST files. Parameters ---------- outdir : string Directory name in which to store files We create automatic filenames for each module Returns ------- None Notes ----- Sets self.written_modules to list of written modules """ if not os.path.exists(outdir): os.mkdir(outdir) # compose list of modules modules = self.discover_modules() self.write_modules_api(modules,outdir) def write_index(self, outdir, path='gen.rst', relative_to=None): """Make a reST API index file from written files Parameters ---------- outdir : string Directory to which to write generated index file path : string Filename to write index to relative_to : string path to which written filenames are relative. This component of the written file path will be removed from outdir, in the generated index. Default is None, meaning, leave path as it is. """ if self.written_modules is None: raise ValueError('No modules written') # Get full filename path path = os.path.join(outdir, path) # Path written into index is relative to rootpath if relative_to is not None: relpath = outdir.replace(relative_to + os.path.sep, '') else: relpath = outdir idx = open(path,'wt') w = idx.write w('.. AUTO-GENERATED FILE -- DO NOT EDIT!\n\n') w('.. autosummary::\n' ' :toctree: %s\n\n' % relpath) for mod in self.written_modules: w(' %s\n' % mod) idx.close() ipython-2.4.1/docs/sphinxext/github.py0000644000076500000000000001240312466235755020303 0ustar minrkwheel00000000000000"""Define text roles for GitHub * ghissue - Issue * ghpull - Pull Request * ghuser - User Adapted from bitbucket example here: https://bitbucket.org/birkenfeld/sphinx-contrib/src/tip/bitbucket/sphinxcontrib/bitbucket.py Authors ------- * Doug Hellmann * Min RK """ # # Original Copyright (c) 2010 Doug Hellmann. All rights reserved. # from docutils import nodes, utils from docutils.parsers.rst.roles import set_classes def make_link_node(rawtext, app, type, slug, options): """Create a link to a github resource. :param rawtext: Text being replaced with link node. :param app: Sphinx application context :param type: Link type (issues, changeset, etc.) :param slug: ID of the thing to link to :param options: Options dictionary passed to role func. """ try: base = app.config.github_project_url if not base: raise AttributeError if not base.endswith('/'): base += '/' except AttributeError as err: raise ValueError('github_project_url configuration value is not set (%s)' % str(err)) ref = base + type + '/' + slug + '/' set_classes(options) prefix = "#" if type == 'pull': prefix = "PR " + prefix node = nodes.reference(rawtext, prefix + utils.unescape(slug), refuri=ref, **options) return node def ghissue_role(name, rawtext, text, lineno, inliner, options={}, content=[]): """Link to a GitHub issue. Returns 2 part tuple containing list of nodes to insert into the document and a list of system messages. Both are allowed to be empty. :param name: The role name used in the document. :param rawtext: The entire markup snippet, with role. :param text: The text marked with the role. :param lineno: The line number where rawtext appears in the input. :param inliner: The inliner instance that called us. :param options: Directive options for customization. :param content: The directive content for customization. """ try: issue_num = int(text) if issue_num <= 0: raise ValueError except ValueError: msg = inliner.reporter.error( 'GitHub issue number must be a number greater than or equal to 1; ' '"%s" is invalid.' % text, line=lineno) prb = inliner.problematic(rawtext, rawtext, msg) return [prb], [msg] app = inliner.document.settings.env.app #app.info('issue %r' % text) if 'pull' in name.lower(): category = 'pull' elif 'issue' in name.lower(): category = 'issues' else: msg = inliner.reporter.error( 'GitHub roles include "ghpull" and "ghissue", ' '"%s" is invalid.' % name, line=lineno) prb = inliner.problematic(rawtext, rawtext, msg) return [prb], [msg] node = make_link_node(rawtext, app, category, str(issue_num), options) return [node], [] def ghuser_role(name, rawtext, text, lineno, inliner, options={}, content=[]): """Link to a GitHub user. Returns 2 part tuple containing list of nodes to insert into the document and a list of system messages. Both are allowed to be empty. :param name: The role name used in the document. :param rawtext: The entire markup snippet, with role. :param text: The text marked with the role. :param lineno: The line number where rawtext appears in the input. :param inliner: The inliner instance that called us. :param options: Directive options for customization. :param content: The directive content for customization. """ app = inliner.document.settings.env.app #app.info('user link %r' % text) ref = 'https://www.github.com/' + text node = nodes.reference(rawtext, text, refuri=ref, **options) return [node], [] def ghcommit_role(name, rawtext, text, lineno, inliner, options={}, content=[]): """Link to a GitHub commit. Returns 2 part tuple containing list of nodes to insert into the document and a list of system messages. Both are allowed to be empty. :param name: The role name used in the document. :param rawtext: The entire markup snippet, with role. :param text: The text marked with the role. :param lineno: The line number where rawtext appears in the input. :param inliner: The inliner instance that called us. :param options: Directive options for customization. :param content: The directive content for customization. """ app = inliner.document.settings.env.app #app.info('user link %r' % text) try: base = app.config.github_project_url if not base: raise AttributeError if not base.endswith('/'): base += '/' except AttributeError as err: raise ValueError('github_project_url configuration value is not set (%s)' % str(err)) ref = base + text node = nodes.reference(rawtext, text[:6], refuri=ref, **options) return [node], [] def setup(app): """Install the plugin. :param app: Sphinx application context. """ app.info('Initializing GitHub plugin') app.add_role('ghissue', ghissue_role) app.add_role('ghpull', ghissue_role) app.add_role('ghuser', ghuser_role) app.add_role('ghcommit', ghcommit_role) app.add_config_value('github_project_url', None, 'env') return ipython-2.4.1/examples/0000755000076500000000000000000012466236022015267 5ustar minrkwheel00000000000000ipython-2.4.1/examples/Builtin Extensions/0000755000076500000000000000000012466236022021015 5ustar minrkwheel00000000000000ipython-2.4.1/examples/Builtin Extensions/Cython Magics.ipynb0000644000076500000000000002302112466235755024522 0ustar minrkwheel00000000000000{ "metadata": { "name": "Cython Magics", "signature": "sha256:c357b93e9480d6347c6677862bf43750745cef4b30129c5bc53cb879a19d4074" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Cython Magic Functions" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Loading the extension" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython has a `cythonmagic` extension that contains a number of magic functions for working with Cython code. This extension can be loaded using the `%load_ext` magic as follows:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%load_ext cythonmagic" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "The %cython_inline magic" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `%%cython_inline` magic uses `Cython.inline` to compile a Cython expression. This allows you to enter and run a function body with Cython code. Use a bare `return` statement to return values. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "a = 10\n", "b = 20" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "%%cython_inline\n", "return a+b" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 3, "text": [ "30" ] } ], "prompt_number": 3 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "The %cython_pyximport magic" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `%%cython_pyximport` magic allows you to enter arbitrary Cython code into a cell. That Cython code is written as a `.pyx` file in the current working directory and then imported using `pyximport`. You have to specify the name of the module that the Code will appear in. All symbols from the module are imported automatically by the magic function." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%cython_pyximport foo\n", "def f(x):\n", " return 4.0*x" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "f(10)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 5, "text": [ "40.0" ] } ], "prompt_number": 5 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "The %cython magic" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Probably the most important magic is the `%cython` magic. This is similar to the `%%cython_pyximport` magic, but doesn't require you to specify a module name. Instead, the `%%cython` magic manages everything using temporary files in the `~/.cython/magic` directory. All of the symbols in the Cython module are imported automatically by the magic.\n", "\n", "Here is a simple example of a Black-Scholes options pricing algorithm written in Cython. Please note that this example might not compile on non-POSIX systems (e.g., Windows) because of a missing `erf` symbol." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%cython\n", "cimport cython\n", "from libc.math cimport exp, sqrt, pow, log, erf\n", "\n", "@cython.cdivision(True)\n", "cdef double std_norm_cdf_cy(double x) nogil:\n", " return 0.5*(1+erf(x/sqrt(2.0)))\n", "\n", "@cython.cdivision(True)\n", "def black_scholes_cy(double s, double k, double t, double v,\n", " double rf, double div, double cp):\n", " \"\"\"Price an option using the Black-Scholes model.\n", " \n", " s : initial stock price\n", " k : strike price\n", " t : expiration time\n", " v : volatility\n", " rf : risk-free rate\n", " div : dividend\n", " cp : +1/-1 for call/put\n", " \"\"\"\n", " cdef double d1, d2, optprice\n", " with nogil:\n", " d1 = (log(s/k)+(rf-div+0.5*pow(v,2))*t)/(v*sqrt(t))\n", " d2 = d1 - v*sqrt(t)\n", " optprice = cp*s*exp(-div*t)*std_norm_cdf_cy(cp*d1) - \\\n", " cp*k*exp(-rf*t)*std_norm_cdf_cy(cp*d2)\n", " return optprice" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "black_scholes_cy(100.0, 100.0, 1.0, 0.3, 0.03, 0.0, -1)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 7, "text": [ "10.327861752731728" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "For comparison, the same code is implemented here in pure python." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from math import exp, sqrt, pow, log, erf\n", "\n", "def std_norm_cdf_py(x):\n", " return 0.5*(1+erf(x/sqrt(2.0)))\n", "\n", "def black_scholes_py(s, k, t, v, rf, div, cp):\n", " \"\"\"Price an option using the Black-Scholes model.\n", " \n", " s : initial stock price\n", " k : strike price\n", " t : expiration time\n", " v : volatility\n", " rf : risk-free rate\n", " div : dividend\n", " cp : +1/-1 for call/put\n", " \"\"\"\n", " d1 = (log(s/k)+(rf-div+0.5*pow(v,2))*t)/(v*sqrt(t))\n", " d2 = d1 - v*sqrt(t)\n", " optprice = cp*s*exp(-div*t)*std_norm_cdf_py(cp*d1) - \\\n", " cp*k*exp(-rf*t)*std_norm_cdf_py(cp*d2)\n", " return optprice" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "black_scholes_py(100.0, 100.0, 1.0, 0.3, 0.03, 0.0, -1)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 9, "text": [ "10.327861752731728" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Below we see the runtime of the two functions: the Cython version is nearly a factor of 10 faster." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%timeit black_scholes_cy(100.0, 100.0, 1.0, 0.3, 0.03, 0.0, -1)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "1000000 loops, best of 3: 319 ns per loop\n" ] } ], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "%timeit black_scholes_py(100.0, 100.0, 1.0, 0.3, 0.03, 0.0, -1)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "100000 loops, best of 3: 2.28 \u00b5s per loop\n" ] } ], "prompt_number": 11 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "External libraries" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Cython allows you to specify additional libraries to be linked with your extension, you can do so with the `-l` flag (also spelled `--lib`). Note that this flag can be passed more than once to specify multiple libraries, such as `-lm -llib2 --lib lib3`. Here's a simple example of how to access the system math library:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%cython -lm\n", "from libc.math cimport sin\n", "print 'sin(1)=', sin(1)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "sin(1)= 0.841470984808\n" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can similarly use the `-I/--include` flag to add include directories to the search path, and `-c/--compile-args` to add extra flags that are passed to Cython via the `extra_compile_args` of the distutils `Extension` class. Please see [the Cython docs on C library usage](http://docs.cython.org/src/tutorial/clibraries.html) for more details on the use of these flags." ] } ], "metadata": {} } ] } ipython-2.4.1/examples/Builtin Extensions/Index.ipynb0000644000076500000000000000317412466235755023150 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:a89ddd606f68e27067a5e2301a4d19a3c149131f4f07be4483a65979e26bebe0" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Back to the main [Index](../Index.ipynb)" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Builtin Extensions" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython extensions allow custom magic commands to be shipped as standalone libraries. IPython includes a few extensions that define magic commands for working with code in other languages.\n", "\n", "

    " ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Tutorials" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [Cython Magics](Cython Magics.ipynb): magics for compiling and running Cython code in a cell\n", "* [Octave Magic](Octave Magic.ipynb): magics for running Octave code in a cell\n", "* [R Magics](R Magics.ipynb): magics for running R code in a cell" ] } ], "metadata": {} } ] }ipython-2.4.1/examples/Builtin Extensions/Octave Magic.ipynb0000644000076500000000000041326312466235755024327 0ustar minrkwheel00000000000000{ "metadata": { "name": "Octave Magic" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Using Octave Inside IPython" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Installation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `octavemagic` extension provides the ability to interact with Octave. It depends on the `oct2py` package,\n", "which may be installed using `easy_install`.\n", "\n", "To enable the extension, load it as follows:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%load_ext octavemagic" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 18 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Overview" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Loading the extension enables three magic functions: `%octave`, `%octave_push`, and `%octave_pull`.\n", "\n", "The first is for executing one or more lines of Octave, while the latter allow moving variables between the Octave and Python workspace.\n", "Here you see an example of how to execute a single line of Octave, and how to transfer the generated value back to Python:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "x = %octave [1 2; 3 4];\n", "x" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 19, "text": [ "array([[ 1., 2.],\n", " [ 3., 4.]])" ] } ], "prompt_number": 19 }, { "cell_type": "code", "collapsed": false, "input": [ "a = [1, 2, 3]\n", "\n", "%octave_push a\n", "%octave a = a * 2;\n", "%octave_pull a\n", "a" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 20, "text": [ "array([[2, 4, 6]])" ] } ], "prompt_number": 20 }, { "cell_type": "markdown", "metadata": {}, "source": [ "When using the cell magic, `%%octave` (note the double `%`), multiple lines of Octave can be executed together. Unlike\n", "with the single cell magic, no value is returned, so we use the `-i` and `-o` flags to specify input and output variables." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%octave -i x -o y\n", "y = x + 3;" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 21 }, { "cell_type": "code", "collapsed": false, "input": [ "y" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 22, "text": [ "array([[ 4., 5.],\n", " [ 6., 7.]])" ] } ], "prompt_number": 22 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Plotting" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot output is automatically captured and displayed, and using the `-f` flag you may choose its format (currently, `png` and `svg` are supported)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%octave -f svg\n", "\n", "p = [12 -2.5 -8 -0.1 8];\n", "x = 0:0.01:1;\n", "\n", "polyout(p, 'x')\n", "plot(x, polyval(p, x));" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "text": [ "12*x^4 - 2.5*x^3 - 8*x^2 - 0.1*x^1 + 8" ] }, { "output_type": "display_data", "svg": [ "\n", "\n", "Produced by GNUPLOT 4.4 patchlevel 0 \n", "\n", "\n", "\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\n", "\n", "\n", "\n", "\n", "\n", "\t\n", "\t\n", "\t\t6\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t6.5\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t7\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t7.5\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t8\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t8.5\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t9\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t9.5\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t0\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t0.2\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t0.4\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t0.6\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t0.8\n", "\t\t\n", "\t\n", "\t\n", "\t\n", "\t\t1\n", "\t\t\n", "\t\n", "\t\n", "\n", "\t\n", "\n", "\t\n", "\n", "\t\n", "\n", "\n", "" ] } ], "prompt_number": 23 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The plot size is adjusted using the `-s` flag:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%octave -s 500,500\n", "\n", "# butterworth filter, order 2, cutoff pi/2 radians\n", "b = [0.292893218813452 0.585786437626905 0.292893218813452];\n", "a = [1 0 0.171572875253810];\n", "freqz(b, a, 32);" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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2ZvTl5+jRo0WrkCu02YtuPQtKEYTRdR32HzmO02q1NE0LP0L9gjCTmZ+fX1xcjPquoJdv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\noLWOJ5MfPqUANvwAgmKwshJ2uRwAAAAASUVORK5CYII=\n" } ], "prompt_number": 24 }, { "cell_type": "code", "collapsed": false, "input": [ "%%octave -s 600,200 -f png\n", "\n", "subplot(121);\n", "[x, y] = meshgrid(0:0.1:3);\n", "r = sin(x - 0.5).^2 + cos(y - 0.5).^2;\n", "surf(x, y, r);\n", "\n", "subplot(122);\n", "sombrero()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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o+c0vuXcdy7LFFxupVMr3KaNMwCoUiqSkpLCwsNDQ0MDAwN27dxe/TpNTDoRQ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\ns3n9+vUisv3wfpQNkODt4PXr14V+Iv7gt1BKvSiIhn/4jWdr6ZrKWAsw5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} ], "prompt_number": 25 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Future work" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "After the next release of `oct2py`, we'll add the ability to interrupt/kill the current Octave session without restarting the Python kernel." ] } ], "metadata": {} } ] }ipython-2.4.1/examples/Builtin Extensions/R Magics.ipynb0000644000076500000000000034576612466235755023506 0ustar minrkwheel00000000000000{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Using R Within the IPython Notebok" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using the `rmagic` extension, users can run R code from within the IPython Notebook. This example Notebook demonstrates this capability. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Line magics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython has an `rmagic` extension that contains a some magic functions for working with R via rpy2. This extension can be loaded using the `%load_ext` magic as follows:" ] }, { "cell_type": "code", "collapsed": true, "input": [ "%load_ext rmagic " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "A typical use case one imagines is having some numpy arrays, wanting to compute some statistics of interest on these\n", " arrays and return the result back to python. Let's suppose we just want to fit a simple linear model to a scatterplot." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "X = np.array([0,1,2,3,4])\n", "Y = np.array([3,5,4,6,7])\n", "plt.scatter(X, Y)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 3, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can accomplish this by first pushing variables to R, fitting a model and returning the results. The line magic %Rpush copies its arguments to variables of the same name in rpy2. The %R line magic evaluates the string in rpy2 and returns the results. In this case, the coefficients of a linear model." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%Rpush X Y\n", "%R lm(Y~X)$coef" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 3, "text": [ "array([ 3.2, 0.9])" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can check that this is correct fairly easily:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "Xr = X - X.mean(); Yr = Y - Y.mean()\n", "slope = (Xr*Yr).sum() / (Xr**2).sum()\n", "intercept = Y.mean() - X.mean() * slope\n", "(intercept, slope)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 4, "text": [ "(3.2000000000000002, 0.90000000000000002)" ] } ], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "It is also possible to return more than one value with %R." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%R resid(lm(Y~X)); coef(lm(X~Y))\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 5, "text": [ "array([-2.5, 0.9])" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "One can also easily capture the results of %R into python objects. Like R, the return value of this multiline expression (multiline in the sense that it is separated by ';') is the final value, which is \n", "the *coef(lm(X~Y))*. To pull other variables from R, there is one more magic." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are two more line magics, %Rpull and %Rget. Both are useful after some R code has been executed and there are variables\n", "in the rpy2 namespace that one would like to retrieve. The main difference is that one\n", " returns the value (%Rget), while the other pulls it to self.shell.user_ns (%Rpull). Imagine we've stored the results\n", "of some calculation in the variable \"a\" in rpy2's namespace. By using the %R magic, we can obtain these results and\n", "store them in b. We can also pull them directly to user_ns with %Rpull. They are both views on the same data." ] }, { "cell_type": "code", "collapsed": false, "input": [ "b = %R a=resid(lm(Y~X))\n", "%Rpull a\n", "print(a)\n", "assert id(b.data) == id(a.data)\n", "%R -o a" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[-0.2 0.9 -1. 0.1 0.2]\n" ] } ], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "%Rpull is equivalent to calling %R with just -o\n" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%R d=resid(lm(Y~X)); e=coef(lm(Y~X))\n", "%R -o d -o e\n", "%Rpull e\n", "print(d)\n", "print(e)\n", "import numpy as np\n", "np.testing.assert_almost_equal(d, a)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[-0.2 0.9 -1. 0.1 0.2]\n", "[ 3.2 0.9]\n" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "On the other hand %Rpush is equivalent to calling %R with just -i and no trailing code." ] }, { "cell_type": "code", "collapsed": false, "input": [ "A = np.arange(20)\n", "%R -i A\n", "%R mean(A)\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 8, "text": [ "array([ 9.5])" ] } ], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The magic %Rget retrieves one variable from R." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%Rget A" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 9, "text": [ "array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,\n", " 17, 18, 19], dtype=int32)" ] } ], "prompt_number": 9 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Plotting and capturing output" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "R's console (i.e. its stdout() connection) is captured by ipython, as are any plots which are published as PNG files, as with `%matplotlib inline`. As a call to %R may produce a return value (see above) we must ask what happens to a magic like the one below. The R code specifies that something is published to the notebook. If anything is published to the notebook, that call to %R returns None." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from __future__ import print_function\n", "v1 = %R plot(X,Y); print(summary(lm(Y~X))); vv=mean(X)*mean(Y)\n", "print('v1 is:', v1)\n", "v2 = %R mean(X)*mean(Y)\n", "print('v2 is:', v2)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "text": [ "\n", "Call:\n", "lm(formula = Y ~ X)\n", "\n", "Residuals:\n", " 1 2 3 4 5 \n", "-0.2 0.9 -1.0 0.1 0.2 \n", "\n", "Coefficients:\n", " Estimate Std. Error t value Pr(>|t|) \n", "(Intercept) 3.2000 0.6164 5.191 0.0139 *\n", "X 0.9000 0.2517 3.576 0.0374 *\n", "---\n", "Signif. codes: 0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1 \n", "\n", "Residual standard error: 0.7958 on 3 degrees of freedom\n", "Multiple R-squared: 0.81,\tAdjusted R-squared: 0.7467 \n", "F-statistic: 12.79 on 1 and 3 DF, p-value: 0.03739 \n", "\n" ] }, { "output_type": "display_data", "png": 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}, { "output_type": "stream", "stream": "stdout", "text": [ "v1 is: [ 10.]\n", "v2 is: [ 10.]\n" ] } ], "prompt_number": 10 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "What value is returned from %R?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Some calls have no particularly interesting return value, the magic %R will not return anything in this case. The return value in rpy2 is actually NULL so %R returns None." ] }, { "cell_type": "code", "collapsed": false, "input": [ "v = %R plot(X,Y)\n", "assert v == None" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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} ], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Also, if the return value of a call to %R (in line mode) has just been printed to the console, then its value is also not returned." ] }, { "cell_type": "code", "collapsed": false, "input": [ "v = %R print(X)\n", "assert v == None" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "text": [ "[1] 0 1 2 3 4\n" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "But, if the last value did not print anything to console, the value is returned:\n" ] }, { "cell_type": "code", "collapsed": false, "input": [ "v = %R print(summary(X)); X\n", "print('v:', v)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "text": [ " Min. 1st Qu. Median Mean 3rd Qu. Max. \n", " 0 1 2 2 3 4 \n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "v: [0 1 2 3 4]\n" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The return value can be suppressed by a trailing ';' or an -n argument.\n" ] }, { "cell_type": "code", "collapsed": true, "input": [ "%R -n X" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 14 }, { "cell_type": "code", "collapsed": true, "input": [ "%R X; " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 15 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Cell level magic" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Often, we will want to do more than a simple linear regression model. There may be several lines of R code that we want to \n", "use before returning to python. This is the cell-level magic.\n", "\n", "\n", "For the cell level magic, inputs can be passed via the -i or --inputs argument in the line. These variables are copied \n", "from the shell namespace to R's namespace using rpy2.robjects.r.assign. It would be nice not to have to copy these into R: rnumpy ( http://bitbucket.org/njs/rnumpy/wiki/API ) has done some work to limit or at least make transparent the number of copies of an array. This seems like a natural thing to try to build on. Arrays can be output from R via the -o or --outputs argument in the line. All other arguments are sent to R's png function, which is the graphics device used to create the plots.\n", "\n", "We can redo the above calculations in one ipython cell. We might also want to add some output such as a summary\n", " from R or perhaps the standard plotting diagnostics of the lm." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%R -i X,Y -o XYcoef\n", "XYlm = lm(Y~X)\n", "XYcoef = coef(XYlm)\n", "print(summary(XYlm))\n", "par(mfrow=c(2,2))\n", "plot(XYlm)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "text": [ "\n", "Call:\n", "lm(formula = Y ~ X)\n", "\n", "Residuals:\n", " 1 2 3 4 5 \n", "-0.2 0.9 -1.0 0.1 0.2 \n", "\n", "Coefficients:\n", " Estimate Std. Error t value Pr(>|t|) \n", "(Intercept) 3.2000 0.6164 5.191 0.0139 *\n", "X 0.9000 0.2517 3.576 0.0374 *\n", "---\n", "Signif. codes: 0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1 \n", "\n", "Residual standard error: 0.7958 on 3 degrees of freedom\n", "Multiple R-squared: 0.81,\tAdjusted R-squared: 0.7467 \n", "F-statistic: 12.79 on 1 and 3 DF, p-value: 0.03739 \n", "\n" ] }, { "output_type": "display_data", "png": 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4+BAeHk6pUqXYsmULrVu31jqWEHlGXFycWdox67nbJUuWAGnXba9fv05wcDBn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\nXqXv3bsXRVE4uG8f8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} ], "prompt_number": 16 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Passing data back and forth" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Currently, data is passed through RMagics.pyconverter when going from python to R and RMagics.Rconverter when \n", "going from R to python. These currently default to numpy.ndarray. Future work will involve writing better converters, most likely involving integration with http://pandas.sourceforge.net.\n", "\n", "Passing ndarrays into R seems to require a copy, though once an object is returned to python, this object is NOT copied, and it is possible to change its values.\n" ] }, { "cell_type": "code", "collapsed": true, "input": [ "seq1 = np.arange(10)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 17 }, { "cell_type": "code", "collapsed": false, "input": [ "%%R -i seq1 -o seq2\n", "seq2 = rep(seq1, 2)\n", "print(seq2)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "text": [ " [1] 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9\n" ] } ], "prompt_number": 18 }, { "cell_type": "code", "collapsed": false, "input": [ "seq2[::2] = 0\n", "seq2" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 19, "text": [ "array([0, 1, 0, 3, 0, 5, 0, 7, 0, 9, 0, 1, 0, 3, 0, 5, 0, 7, 0, 9], dtype=int32)" ] } ], "prompt_number": 19 }, { "cell_type": "code", "collapsed": false, "input": [ "%%R\n", "print(seq2)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "text": [ " [1] 0 1 0 3 0 5 0 7 0 9 0 1 0 3 0 5 0 7 0 9\n" ] } ], "prompt_number": 20 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once the array data has been passed to R, modifring its contents does not modify R's copy of the data." ] }, { "cell_type": "code", "collapsed": false, "input": [ "seq1[0] = 200\n", "%R print(seq1)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "text": [ " [1] 0 1 2 3 4 5 6 7 8 9\n" ] } ], "prompt_number": 21 }, { "cell_type": "markdown", "metadata": {}, "source": [ "But, if we pass data as both input and output, then the value of \"data\" in user_ns will be overwritten and the\n", "new array will be a view of the data in R's copy." ] }, { "cell_type": "code", "collapsed": false, "input": [ "print(seq1)\n", "%R -i seq1 -o seq1\n", "print(seq1)\n", "seq1[0] = 200\n", "%R print(seq1)\n", "seq1_view = %R seq1\n", "assert(id(seq1_view.data) == id(seq1.data))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[200 1 2 3 4 5 6 7 8 9]\n", "[200 1 2 3 4 5 6 7 8 9]\n" ] }, { "output_type": "display_data", "text": [ " [1] 200 1 2 3 4 5 6 7 8 9\n" ] } ], "prompt_number": 22 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Exception handling\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Exceptions are handled by passing back rpy2's exception and the line that triggered it." ] }, { "cell_type": "code", "collapsed": false, "input": [ "try:\n", " %R -n nosuchvar\n", "except Exception as e:\n", " print(e)\n", " pass" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "parsing and evaluating line \"nosuchvar\".\n", "R error message: \"Error in eval(expr, envir, enclos) : object 'nosuchvar' not found\n", "\"\n", " R stdout:\"Error in eval(expr, envir, enclos) : object 'nosuchvar' not found\n", "\"\n", "\n" ] } ], "prompt_number": 23 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Structured arrays and data frames\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In R, data frames play an important role as they allow array-like objects of mixed type with column names (and row names). In bumpy, the closest analogy is a structured array with named fields. In future work, it would be nice to use pandas to return full-fledged DataFrames from rpy2. In the mean time, structured arrays can be passed back and forth with the -d flag to %R, %Rpull, and %Rget" ] }, { "cell_type": "code", "collapsed": true, "input": [ "datapy= np.array([(1, 2.9, 'a'), (2, 3.5, 'b'), (3, 2.1, 'c')],\n", " dtype=[('x', '" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Back to the main [Index](../Index.ipynb)" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Customization" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython has rich APIs for customization. Many behaviors of the different IPython applications can be configured using command line arguments or configuration files. IPython's core syntax and command line features can also be customized through input filters, custom magic commands, etc." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Tutorials" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Coming soon." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Examples" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Coming soon." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Non-notebook examples" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This directory also contains examples that are regular Python (`.py`) files." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%run ../utils/list_pyfiles.ipy" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "appconfig.py
    " ], "metadata": {}, "output_type": "display_data", "text": [ "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Customization/appconfig.py" ] } ], "prompt_number": 1 } ], "metadata": {} } ] }ipython-2.4.1/examples/Embedding/0000755000076500000000000000000012466236022017145 5ustar minrkwheel00000000000000ipython-2.4.1/examples/Embedding/embed_class_long.py0000755000076500000000000001121112466235755023012 0ustar minrkwheel00000000000000#!/usr/bin/env python """An example of how to embed an IPython shell into a running program. Please see the documentation in the IPython.Shell module for more details. The accompanying file embed_class_short.py has quick code fragments for embedding which you can cut and paste in your code once you understand how things work. The code in this file is deliberately extra-verbose, meant for learning.""" from __future__ import print_function # The basics to get you going: # IPython injects get_ipython into builtins, so you can know if you have nested # copies running. # Try running this code both at the command line and from inside IPython (with # %run example-embed.py) from IPython.config.loader import Config try: get_ipython except NameError: nested = 0 cfg = Config() prompt_config = cfg.PromptManager prompt_config.in_template = 'In <\\#>: ' prompt_config.in2_template = ' .\\D.: ' prompt_config.out_template = 'Out<\\#>: ' else: print("Running nested copies of IPython.") print("The prompts for the nested copy have been modified") cfg = Config() nested = 1 # First import the embeddable shell class from IPython.terminal.embed import InteractiveShellEmbed # Now create an instance of the embeddable shell. The first argument is a # string with options exactly as you would type them if you were starting # IPython at the system command line. Any parameters you want to define for # configuration can thus be specified here. ipshell = InteractiveShellEmbed(config=cfg, banner1 = 'Dropping into IPython', exit_msg = 'Leaving Interpreter, back to program.') # Make a second instance, you can have as many as you want. cfg2 = cfg.copy() prompt_config = cfg2.PromptManager prompt_config.in_template = 'In2<\\#>: ' if not nested: prompt_config.in_template = 'In2<\\#>: ' prompt_config.in2_template = ' .\\D.: ' prompt_config.out_template = 'Out<\\#>: ' ipshell2 = InteractiveShellEmbed(config=cfg, banner1 = 'Second IPython instance.') print('\nHello. This is printed from the main controller program.\n') # You can then call ipshell() anywhere you need it (with an optional # message): ipshell('***Called from top level. ' 'Hit Ctrl-D to exit interpreter and continue program.\n' 'Note that if you use %kill_embedded, you can fully deactivate\n' 'This embedded instance so it will never turn on again') print('\nBack in caller program, moving along...\n') #--------------------------------------------------------------------------- # More details: # InteractiveShellEmbed instances don't print the standard system banner and # messages. The IPython banner (which actually may contain initialization # messages) is available as get_ipython().banner in case you want it. # InteractiveShellEmbed instances print the following information everytime they # start: # - A global startup banner. # - A call-specific header string, which you can use to indicate where in the # execution flow the shell is starting. # They also print an exit message every time they exit. # Both the startup banner and the exit message default to None, and can be set # either at the instance constructor or at any other time with the # by setting the banner and exit_msg attributes. # The shell instance can be also put in 'dummy' mode globally or on a per-call # basis. This gives you fine control for debugging without having to change # code all over the place. # The code below illustrates all this. # This is how the global banner and exit_msg can be reset at any point ipshell.banner = 'Entering interpreter - New Banner' ipshell.exit_msg = 'Leaving interpreter - New exit_msg' def foo(m): s = 'spam' ipshell('***In foo(). Try %whos, or print s or m:') print('foo says m = ',m) def bar(n): s = 'eggs' ipshell('***In bar(). Try %whos, or print s or n:') print('bar says n = ',n) # Some calls to the above functions which will trigger IPython: print('Main program calling foo("eggs")\n') foo('eggs') # The shell can be put in 'dummy' mode where calls to it silently return. This # allows you, for example, to globally turn off debugging for a program with a # single call. ipshell.dummy_mode = True print('\nTrying to call IPython which is now "dummy":') ipshell() print('Nothing happened...') # The global 'dummy' mode can still be overridden for a single call print('\nOverriding dummy mode manually:') ipshell(dummy=False) # Reactivate the IPython shell ipshell.dummy_mode = False print('You can even have multiple embedded instances:') ipshell2() print('\nMain program calling bar("spam")\n') bar('spam') print('Main program finished. Bye!') ipython-2.4.1/examples/Embedding/embed_class_short.py0000644000076500000000000000321212466235755023211 0ustar minrkwheel00000000000000"""Quick code snippets for embedding IPython into other programs. See embed_class_long.py for full details, this file has the bare minimum code for cut and paste use once you understand how to use the system.""" #--------------------------------------------------------------------------- # This code loads IPython but modifies a few things if it detects it's running # embedded in another IPython session (helps avoid confusion) try: get_ipython except NameError: banner=exit_msg='' else: banner = '*** Nested interpreter ***' exit_msg = '*** Back in main IPython ***' # First import the embed function from IPython.terminal.embed import InteractiveShellEmbed # Now create the IPython shell instance. Put ipshell() anywhere in your code # where you want it to open. ipshell = InteractiveShellEmbed(banner1=banner, exit_msg=exit_msg) #--------------------------------------------------------------------------- # This code will load an embeddable IPython shell always with no changes for # nested embededings. from IPython import embed # Now embed() will open IPython anywhere in the code. #--------------------------------------------------------------------------- # This code loads an embeddable shell only if NOT running inside # IPython. Inside IPython, the embeddable shell variable ipshell is just a # dummy function. try: get_ipython except NameError: from IPython.terminal.embed import InteractiveShellEmbed ipshell = InteractiveShellEmbed() # Now ipshell() will open IPython anywhere in the code else: # Define a dummy ipshell() so the same code doesn't crash inside an # interactive IPython def ipshell(): pass ipython-2.4.1/examples/Embedding/embed_function.py0000644000076500000000000000040212466235755022510 0ustar minrkwheel00000000000000"""Embed IPython using the simple embed function rather than the class API.""" from IPython import embed a = 10 b = 20 embed(header='First time', banner1='') c = 30 d = 40 try: raise Exception('adsfasdf') except: embed(header='The second time') ipython-2.4.1/examples/Embedding/Index.ipynb0000644000076500000000000001153612466235755021301 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:627cdf03b8de558c9344f9d1e8f0beeb2448e37e492d676e6db7b07d33251a2b" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Back to the main [Index](../Index.ipynb)" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Embedding IPython Into Other Applications" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The architecture of IPython is built with reusable components. These components include:\n", "\n", "* The configuration system for processing command line arguments and configuration files\n", "* The IPython `InteractiveShell` object that provides the core interactive features across the entire code base\n", "* The IPython kernel, which provides the capabilities of the `InteractiveShell` object over a ZeroMQ/JSON based message protocol to various frontends\n", "* The IPython frontends (Notebook, Qt Console, Console, Terminal)\n", "\n", "These components can be embedded into other applications." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Tutorials" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Coming soon." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Examples" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Coming soon." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Non-notebook examples" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This directory also contains examples that are regular Python (`.py`) files." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%run ../utils/list_pyfiles.ipy" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "embed_class_long.py
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    " ], "metadata": {}, "output_type": "display_data", "text": [ "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Embedding/ipkernel_wxapp.py" ] } ], "prompt_number": 1 } ], "metadata": {} } ] }ipython-2.4.1/examples/Embedding/inprocess_qtconsole.py0000644000076500000000000000223612466235755023632 0ustar minrkwheel00000000000000from __future__ import print_function import os from IPython.qt.console.rich_ipython_widget import RichIPythonWidget from IPython.qt.inprocess import QtInProcessKernelManager from IPython.lib import guisupport def print_process_id(): print('Process ID is:', os.getpid()) def main(): # Print the ID of the main process print_process_id() app = guisupport.get_app_qt4() # Create an in-process kernel # >>> print_process_id() # will print the same process ID as the main process kernel_manager = QtInProcessKernelManager() kernel_manager.start_kernel() kernel = kernel_manager.kernel kernel.gui = 'qt4' kernel.shell.push({'foo': 43, 'print_process_id': print_process_id}) kernel_client = kernel_manager.client() kernel_client.start_channels() def stop(): kernel_client.stop_channels() kernel_manager.shutdown_kernel() app.exit() control = RichIPythonWidget() control.kernel_manager = kernel_manager control.kernel_client = kernel_client control.exit_requested.connect(stop) control.show() guisupport.start_event_loop_qt4(app) if __name__ == '__main__': main() ipython-2.4.1/examples/Embedding/inprocess_terminal.py0000644000076500000000000000150112466235755023430 0ustar minrkwheel00000000000000from __future__ import print_function import os from IPython.kernel.inprocess import InProcessKernelManager from IPython.terminal.console.interactiveshell import ZMQTerminalInteractiveShell def print_process_id(): print('Process ID is:', os.getpid()) def main(): print_process_id() # Create an in-process kernel # >>> print_process_id() # will print the same process ID as the main process kernel_manager = InProcessKernelManager() kernel_manager.start_kernel() kernel = kernel_manager.kernel kernel.gui = 'qt4' kernel.shell.push({'foo': 43, 'print_process_id': print_process_id}) client = kernel_manager.client() client.start_channels() shell = ZMQTerminalInteractiveShell(manager=kernel_manager, client=client) shell.mainloop() if __name__ == '__main__': main() ipython-2.4.1/examples/Embedding/internal_ipkernel.py0000644000076500000000000000374212466235755023246 0ustar minrkwheel00000000000000#----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- import sys from IPython.lib.kernel import connect_qtconsole from IPython.kernel.zmq.kernelapp import IPKernelApp #----------------------------------------------------------------------------- # Functions and classes #----------------------------------------------------------------------------- def mpl_kernel(gui): """Launch and return an IPython kernel with matplotlib support for the desired gui """ kernel = IPKernelApp.instance() kernel.initialize(['python', '--matplotlib=%s' % gui, #'--log-level=10' ]) return kernel class InternalIPKernel(object): def init_ipkernel(self, backend): # Start IPython kernel with GUI event loop and mpl support self.ipkernel = mpl_kernel(backend) # To create and track active qt consoles self.consoles = [] # This application will also act on the shell user namespace self.namespace = self.ipkernel.shell.user_ns # Example: a variable that will be seen by the user in the shell, and # that the GUI modifies (the 'Counter++' button increments it): self.namespace['app_counter'] = 0 #self.namespace['ipkernel'] = self.ipkernel # dbg def print_namespace(self, evt=None): print("\n***Variables in User namespace***") for k, v in self.namespace.items(): if not k.startswith('_'): print('%s -> %r' % (k, v)) sys.stdout.flush() def new_qt_console(self, evt=None): """start a new qtconsole connected to our kernel""" return connect_qtconsole(self.ipkernel.connection_file, profile=self.ipkernel.profile) def count(self, evt=None): self.namespace['app_counter'] += 1 def cleanup_consoles(self, evt=None): for c in self.consoles: c.kill() ipython-2.4.1/examples/Embedding/ipkernel_qtapp.py0000755000076500000000000000540712466235755022562 0ustar minrkwheel00000000000000#!/usr/bin/env python """Example integrating an IPython kernel into a GUI App. This trivial GUI application internally starts an IPython kernel, to which Qt consoles can be connected either by the user at the command line or started from the GUI itself, via a button. The GUI can also manipulate one variable in the kernel's namespace, and print the namespace to the console. Play with it by running the script and then opening one or more consoles, and pushing the 'Counter++' and 'Namespace' buttons. Upon exit, it should automatically close all consoles opened from the GUI. Consoles attached separately from a terminal will not be terminated, though they will notice that their kernel died. """ #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- from PyQt4 import Qt from internal_ipkernel import InternalIPKernel #----------------------------------------------------------------------------- # Functions and classes #----------------------------------------------------------------------------- class SimpleWindow(Qt.QWidget, InternalIPKernel): def __init__(self, app): Qt.QWidget.__init__(self) self.app = app self.add_widgets() self.init_ipkernel('qt') def add_widgets(self): self.setGeometry(300, 300, 400, 70) self.setWindowTitle('IPython in your app') # Add simple buttons: console = Qt.QPushButton('Qt Console', self) console.setGeometry(10, 10, 100, 35) self.connect(console, Qt.SIGNAL('clicked()'), self.new_qt_console) namespace = Qt.QPushButton('Namespace', self) namespace.setGeometry(120, 10, 100, 35) self.connect(namespace, Qt.SIGNAL('clicked()'), self.print_namespace) count = Qt.QPushButton('Count++', self) count.setGeometry(230, 10, 80, 35) self.connect(count, Qt.SIGNAL('clicked()'), self.count) # Quit and cleanup quit = Qt.QPushButton('Quit', self) quit.setGeometry(320, 10, 60, 35) self.connect(quit, Qt.SIGNAL('clicked()'), Qt.qApp, Qt.SLOT('quit()')) self.app.connect(self.app, Qt.SIGNAL("lastWindowClosed()"), self.app, Qt.SLOT("quit()")) self.app.aboutToQuit.connect(self.cleanup_consoles) #----------------------------------------------------------------------------- # Main script #----------------------------------------------------------------------------- if __name__ == "__main__": app = Qt.QApplication([]) # Create our window win = SimpleWindow(app) win.show() # Very important, IPython-specific step: this gets GUI event loop # integration going, and it replaces calling app.exec_() win.ipkernel.start() ipython-2.4.1/examples/Embedding/ipkernel_wxapp.py0000755000076500000000000001032512466235755022567 0ustar minrkwheel00000000000000#!/usr/bin/env python """Example integrating an IPython kernel into a GUI App. This trivial GUI application internally starts an IPython kernel, to which Qt consoles can be connected either by the user at the command line or started from the GUI itself, via a button. The GUI can also manipulate one variable in the kernel's namespace, and print the namespace to the console. Play with it by running the script and then opening one or more consoles, and pushing the 'Counter++' and 'Namespace' buttons. Upon exit, it should automatically close all consoles opened from the GUI. Consoles attached separately from a terminal will not be terminated, though they will notice that their kernel died. Ref: Modified from wxPython source code wxPython/samples/simple/simple.py """ #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- import sys import wx from internal_ipkernel import InternalIPKernel #----------------------------------------------------------------------------- # Functions and classes #----------------------------------------------------------------------------- class MyFrame(wx.Frame, InternalIPKernel): """ This is MyFrame. It just shows a few controls on a wxPanel, and has a simple menu. """ def __init__(self, parent, title): wx.Frame.__init__(self, parent, -1, title, pos=(150, 150), size=(350, 285)) # Create the menubar menuBar = wx.MenuBar() # and a menu menu = wx.Menu() # add an item to the menu, using \tKeyName automatically # creates an accelerator, the third param is some help text # that will show up in the statusbar menu.Append(wx.ID_EXIT, "E&xit\tAlt-X", "Exit this simple sample") # bind the menu event to an event handler self.Bind(wx.EVT_MENU, self.OnTimeToClose, id=wx.ID_EXIT) # and put the menu on the menubar menuBar.Append(menu, "&File") self.SetMenuBar(menuBar) self.CreateStatusBar() # Now create the Panel to put the other controls on. panel = wx.Panel(self) # and a few controls text = wx.StaticText(panel, -1, "Hello World!") text.SetFont(wx.Font(14, wx.SWISS, wx.NORMAL, wx.BOLD)) text.SetSize(text.GetBestSize()) qtconsole_btn = wx.Button(panel, -1, "Qt Console") ns_btn = wx.Button(panel, -1, "Namespace") count_btn = wx.Button(panel, -1, "Count++") close_btn = wx.Button(panel, -1, "Quit") # bind the button events to handlers self.Bind(wx.EVT_BUTTON, self.new_qt_console, qtconsole_btn) self.Bind(wx.EVT_BUTTON, self.print_namespace, ns_btn) self.Bind(wx.EVT_BUTTON, self.count, count_btn) self.Bind(wx.EVT_BUTTON, self.OnTimeToClose, close_btn) # Use a sizer to layout the controls, stacked vertically and with # a 10 pixel border around each sizer = wx.BoxSizer(wx.VERTICAL) for ctrl in [text, qtconsole_btn, ns_btn, count_btn, close_btn]: sizer.Add(ctrl, 0, wx.ALL, 10) panel.SetSizer(sizer) panel.Layout() # Start the IPython kernel with gui support self.init_ipkernel('wx') def OnTimeToClose(self, evt): """Event handler for the button click.""" print("See ya later!") sys.stdout.flush() self.cleanup_consoles(evt) self.Close() # Not sure why, but our IPython kernel seems to prevent normal WX # shutdown, so an explicit exit() call is needed. sys.exit() class MyApp(wx.App): def OnInit(self): frame = MyFrame(None, "Simple wxPython App") self.SetTopWindow(frame) frame.Show(True) self.ipkernel = frame.ipkernel return True #----------------------------------------------------------------------------- # Main script #----------------------------------------------------------------------------- if __name__ == '__main__': app = MyApp(redirect=False, clearSigInt=False) # Very important, IPython-specific step: this gets GUI event loop # integration going, and it replaces calling app.MainLoop() app.ipkernel.start() ipython-2.4.1/examples/images/0000755000076500000000000000000012466236022016534 5ustar minrkwheel00000000000000ipython-2.4.1/examples/images/ipython_logo.png0000644000076500000000000002200012466235755021762 0ustar minrkwheel00000000000000PNG  IHDRCsBIT|d pHYsbhtEXtSoftwarewww.inkscape.org< IDATxyEոߺ %$$`6OYDQ>P@M:l O\OwE hEVYŽ,%# $dtgsgͭy晙3=:u)L>~~R0.4X ,J Z/mD>3YV?Da`1z2chpАYTJ^nZ/}09D}|Tbs1N`i> ԱވvK|.A Nv v^_.VJ\V .2-Iβ-}0Cnz!R*F[ l^Y>e]Grvb0 BcK)u,zEWm@X>^aKv1{s|QCFβS/0_iCFwo'WJ Zna | ,YV ŸtaxJjhS?`rβF,n D٥6*$$[$Is9[)Pkv b0B> W,r^`hI$_lC_Z ׿RUz\ Jr#Ĵ0I^þ~zYkݐIv߁}n;;s.Fdh{Og.;jZE2!s54* FA0,"4_$-TdTJݭ;l-8J!@Pt[t0 B ɇ9zBd9 cb^> Z!So'6헳*Etb_#Á#e|>QE_E,k(p'6pO> ?ݑi a,*_Q!SCE2< Ua h|_)u%T|8e3(( ~ pVemUt ;?Nl#bۉvsp_|!_f,#aVg Wڪe E 灇s5lZ9!pu> u:CILchC`_*80z+}$Y8&% L@,:(\~ UxS/ |.ھ^ToJMg~"V8:e4Hβvχa5YZOA_f"J (('Y֕0^EZP#ZeJӁG*TVfpJQLb¹@E˱'L:Ԭd@βvhj )(,0]!u.> 9J+3ab}UǑuXṄ%gY7#Ӆys9:0/~OA9X |7Ly*gYD}oD2_B[a$m60%gYO V~HP5f֏"#r Y nBc﷕w/0'{"|$kcur@HFfey,kIJsqrzEG,k*e O)ɾB,"ee6a]["$rMβ.Fc"".Orsuz|;GrA$0|ǔJ|"{JF\sJ)~WS,X 5aN!Rj=uUC=gYɜCmu5e0\^IzgL_eD\]|VbLTxeraFNa$gY7'GEV! ;vfL%-c:ZZIy"1φ_[:4-?+ӑ+-SSѫsT~|ONbzT!L'>oޘ0dr5,˪8}d2CTy u>7=;CMg~!+N^%L1'lsis5*]!zf9MTW6]wXfon1>.u(84!&3ߩW77wy=RӾB]ɓ_z{[-S+x>|k&0|"gY3](8+e 2௵xI I}oDAH6(Qi["Eu ~*{n3cSe5ߚQoQ"8<_tCRpf<6gY?·arZ'9ps)6PwJ)A5M׭nNCL14f)nM*F7ҩRj/ F)2ohtm .s| sI:U2kemY?#0 B(6@-2u9-奊]/a۵m236"DQbpcUp)]M~9a04Q3kq%cRJQ־*=&SctV<0gYGΉAIŧHr3aa1(SiHQZ'xڂYRj8=\&hi-etY Hz_o,kt]OC)jɌ,kJ r5Isgӥ2(u|BB6K3:$`Irֺ3r+&M|Y+}khP+K>D:8}|ݿ]rd]mJVr ]-gU N+?u`C=>Et C-&u$^J^)U"=]>8jEYǀ5Omz2ss'5:vVQvbRQcZ벫,,kw|=̜ex/@_·a,A> W,kr.mF`pG$Ƕ+9˚,< I2ð ax[β. 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[DM^n:vq`D LYbkT)"nZA)%`}b<Ƿ]?8WA3HdHM kzhHvƏ!JTDS(TfY\BRC69oJT*^&Al o(wQ\# 44 úKʪsN`i"<'y" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "IPython Documentation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This directory contains IPython's notebook-based documentation. This augments our [Sphinx-based documentation](http://ipython.org/ipython-doc/stable/index.html) with notebooks that contain interactive tutorials and examples. Over time, more of our documentation will be pulled into this format." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Topics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [IPython Kernel](IPython Kernel/Index.ipynb): IPython's core syntax and command line features available in all frontends\n", "* [Notebook](Notebook/Index.ipynb): The IPython Notebook frontend\n", "* [Interactive Widgets](Interactive Widgets/Index.ipynb): Interactive JavaScript/HTML widgets and `interact`\n", "* [Parallel Computing](Parallel Computing/Index.ipynb): IPython's library for interactive parallel computing\n", "* [Customization](Customization/Index.ipynb): How to configure IPython and customize it with magics, extensions, etc.\n", "* [Embedding](Embedding/Index.ipynb): Embedding and reusing IPython's components into other applications\n", "* [Builtin Extensions](Builtin Extensions/Index.ipynb): Extensions we ship with IPython" ] } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/0000755000076500000000000000000012466236022021133 5ustar minrkwheel00000000000000ipython-2.4.1/examples/Interactive Widgets/Beat Frequencies.ipynb0000644000076500000000000050137712466235755025334 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:da6a3d73881e321e5ef406aea3e7d706c9dd405c94675318afde957d292f9cb9" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Exploring Beat Frequencies using the `Audio` Object" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This example uses the `Audio` object and Matplotlib to explore the phenomenon of beat frequencies." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import numpy as np" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html.widgets import interactive\n", "from IPython.display import Audio, display\n", "import numpy as np" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "def beat_freq(f1=220.0, f2=224.0):\n", " max_time = 3\n", " rate = 8000\n", " times = np.linspace(0,max_time,rate*max_time)\n", " signal = np.sin(2*np.pi*f1*times) + np.sin(2*np.pi*f2*times)\n", " print(f1, f2, abs(f1-f2))\n", " display(Audio(data=signal, rate=rate))\n", " return signal" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "v = interactive(beat_freq, f1=(200.0,300.0), f2=(200.0,300.0))\n", "display(v)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "(220.0, 224.0, 4.0)\n" ] }, { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "display_data", "text": [ "" ] 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WmKmLJgorzNR94hrcpy1tGbFpXbYuSxfvgSvvGtyzqPyiqIWBgO2n9HQHjCoM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\nAy66CBA7qIcRvJz2z70H03ZUxDGoqeLWW4Ef/MA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"text": [ "" ] } ], "prompt_number": 14 } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Custom Widgets.ipynb0000644000076500000000000010331712466235755025060 0ustar minrkwheel00000000000000{ "metadata": { "cell_tags": [ [ "", null ] ], "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Before reading, make sure to review\n", "\n", "- [MVC prgramming](http://en.wikipedia.org/wiki/Model%E2%80%93view%E2%80%93controller)\n", "- [Backbone.js](https://www.codeschool.com/courses/anatomy-of-backbonejs)\n", "- [The widget IPEP](https://github.com/ipython/ipython/wiki/IPEP-23%3A-Backbone.js-Widgets)\n", "- [The original widget PR discussion](https://github.com/ipython/ipython/pull/4374)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from __future__ import print_function # For py 2.7 compat\n", "\n", "from IPython.html import widgets # Widget definitions\n", "from IPython.display import display # Used to display widgets in the notebook\n", "from IPython.utils.traitlets import Unicode # Used to declare attributes of our widget" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Abstract" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook implements a custom date picker widget,\n", "in order to demonstrate the widget creation process.\n", "\n", "To create a custom widget, both Python and JavaScript code is required." ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Section 1 - Basics" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Python" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When starting a project like this, it is often easiest to make a simple base implementation,\n", "to verify that the underlying framework is working as expected.\n", "To start, we will create an empty widget and make sure that it can be rendered.\n", "The first step is to define the widget in Python." ] }, { "cell_type": "code", "collapsed": false, "input": [ "class DateWidget(widgets.DOMWidget):\n", " _view_name = Unicode('DatePickerView', sync=True)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Our widget inherits from `widgets.DOMWidget` since it is intended that it will be displayed in the notebook directly.\n", "The `_view_name` trait is special; the widget framework will read the `_view_name` trait to determine what Backbone view the widget is associated with.\n", "**Using `sync=True` is very important** because it tells the widget framework that that specific traitlet should be synced between the front- and back-ends." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "JavaScript" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the IPython notebook [require.js](http://requirejs.org/) is used to load JavaScript dependencies.\n", "All IPython widget code depends on `widgets/js/widget.js`,\n", "where the base widget model and base view are defined.\n", "We use require.js to load this file:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%javascript\n", "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", "\n", "});" ], "language": "python", "metadata": {}, "outputs": [ { "javascript": [ "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", "\n", "});" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we need to define a view that can be used to represent the model.\n", "To do this, the `IPython.DOMWidgetView` is extended.\n", "**A render function must be defined**.\n", "The render function is used to render a widget view instance to the DOM.\n", "For now, the render function renders a div that contains the text *Hello World!*\n", "Lastly, the view needs to be registered with the widget manager.\n", "\n", "**Final JavaScript code below:**" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%javascript\n", "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", " \n", " // Define the DatePickerView\n", " var DatePickerView = IPython.DOMWidgetView.extend({\n", " render: function(){ this.$el.text('Hello World!'); },\n", " });\n", " \n", " // Register the DatePickerView with the widget manager.\n", " WidgetManager.register_widget_view('DatePickerView', DatePickerView);\n", "});" ], "language": "python", "metadata": {}, "outputs": [ { "javascript": [ "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", " \n", " // Define the DatePickerView\n", " var DatePickerView = IPython.DOMWidgetView.extend({\n", " render: function(){ this.$el.text('Hello World!'); },\n", " });\n", " \n", " // Register the DatePickerView with the widget manager.\n", " WidgetManager.register_widget_view('DatePickerView', DatePickerView);\n", "});" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 4 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Test" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To test what we have so far, create the widget, just like you would the builtin widgets:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "DateWidget()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Section 2 - Something useful" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Python" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the last section we created a simple widget that displayed *Hello World!*\n", "To make an actual date widget, we need to add a property that will be synced between the Python model and the JavaScript model.\n", "The new attribute must be a traitlet, so the widget machinery can handle it.\n", "The traitlet must be constructed with a `sync=True` keyword argument, to tell the widget machinery knows to synchronize it with the front-end.\n", "Adding this to the code from the last section:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "class DateWidget(widgets.DOMWidget):\n", " _view_name = Unicode('DatePickerView', sync=True)\n", " value = Unicode(sync=True)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "JavaScript" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the JavaScript, there is no need to define counterparts to the traitlets.\n", "When the JavaScript model is created for the first time,\n", "it copies all of the traitlet `sync=True` attributes from the Python model.\n", "We need to replace *Hello World!* with an actual HTML date picker widget." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%javascript\n", "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", " \n", " // Define the DatePickerView\n", " var DatePickerView = IPython.DOMWidgetView.extend({\n", " render: function(){\n", " \n", " // Create the date picker control.\n", " this.$date = $('')\n", " .attr('type', 'date')\n", " .appendTo(this.$el);\n", " },\n", " });\n", " \n", " // Register the DatePickerView with the widget manager.\n", " WidgetManager.register_widget_view('DatePickerView', DatePickerView);\n", "});" ], "language": "python", "metadata": {}, "outputs": [ { "javascript": [ "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", " \n", " // Define the DatePickerView\n", " var DatePickerView = IPython.DOMWidgetView.extend({\n", " render: function(){\n", " \n", " // Create the date picker control.\n", " this.$date = $('')\n", " .attr('type', 'date')\n", " .appendTo(this.$el);\n", " },\n", " });\n", " \n", " // Register the DatePickerView with the widget manager.\n", " WidgetManager.register_widget_view('DatePickerView', DatePickerView);\n", "});" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "In order to get the HTML date picker to update itself with the value set in the back-end, we need to implement an `update()` method." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%javascript\n", "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", " \n", " // Define the DatePickerView\n", " var DatePickerView = IPython.DOMWidgetView.extend({\n", " render: function(){\n", " \n", " // Create the date picker control.\n", " this.$date = $('')\n", " .attr('type', 'date')\n", " .appendTo(this.$el);\n", " },\n", " \n", " update: function() {\n", " \n", " // Set the value of the date control and then call base.\n", " this.$date.val(this.model.get('value')); // ISO format \"YYYY-MM-DDTHH:mm:ss.sssZ\" is required\n", " return DatePickerView.__super__.update.apply(this);\n", " },\n", " });\n", " \n", " // Register the DatePickerView with the widget manager.\n", " WidgetManager.register_widget_view('DatePickerView', DatePickerView);\n", "});" ], "language": "python", "metadata": {}, "outputs": [ { "javascript": [ "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", " \n", " // Define the DatePickerView\n", " var DatePickerView = IPython.DOMWidgetView.extend({\n", " render: function(){\n", " \n", " // Create the date picker control.\n", " this.$date = $('')\n", " .attr('type', 'date')\n", " .appendTo(this.$el);\n", " },\n", " \n", " update: function() {\n", " \n", " // Set the value of the date control and then call base.\n", " this.$date.val(this.model.get('value')); // ISO format \"YYYY-MM-DDTHH:mm:ss.sssZ\" is required\n", " return DatePickerView.__super__.update.apply(this);\n", " },\n", " });\n", " \n", " // Register the DatePickerView with the widget manager.\n", " WidgetManager.register_widget_view('DatePickerView', DatePickerView);\n", "});" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "To get the changed value from the frontend to publish itself to the backend,\n", "we need to listen to the change event triggered by the HTM date control and set the value in the model.\n", "After the date change event fires and the new value is set in the model,\n", "it is very important that we call `this.touch()` to let the widget machinery know which view changed the model.\n", "This is important because the widget machinery needs to know which cell to route the message callbacks to.\n", "\n", "**Final JavaScript code below:**" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%javascript\n", "\n", "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", " \n", " // Define the DatePickerView\n", " var DatePickerView = IPython.DOMWidgetView.extend({\n", " render: function(){\n", " \n", " // Create the date picker control.\n", " this.$date = $('')\n", " .attr('type', 'date')\n", " .appendTo(this.$el);\n", " },\n", " \n", " update: function() {\n", " \n", " // Set the value of the date control and then call base.\n", " this.$date.val(this.model.get('value')); // ISO format \"YYYY-MM-DDTHH:mm:ss.sssZ\" is required\n", " return DatePickerView.__super__.update.apply(this);\n", " },\n", " \n", " // Tell Backbone to listen to the change event of input controls (which the HTML date picker is)\n", " events: {\"change\": \"handle_date_change\"},\n", " \n", " // Callback for when the date is changed.\n", " handle_date_change: function(event) {\n", " this.model.set('value', this.$date.val());\n", " this.touch();\n", " },\n", " });\n", " \n", " // Register the DatePickerView with the widget manager.\n", " WidgetManager.register_widget_view('DatePickerView', DatePickerView);\n", "});" ], "language": "python", "metadata": {}, "outputs": [ { "javascript": [ "\n", "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", " \n", " // Define the DatePickerView\n", " var DatePickerView = IPython.DOMWidgetView.extend({\n", " render: function(){\n", " \n", " // Create the date picker control.\n", " this.$date = $('')\n", " .attr('type', 'date')\n", " .appendTo(this.$el);\n", " },\n", " \n", " update: function() {\n", " \n", " // Set the value of the date control and then call base.\n", " this.$date.val(this.model.get('value')); // ISO format \"YYYY-MM-DDTHH:mm:ss.sssZ\" is required\n", " return DatePickerView.__super__.update.apply(this);\n", " },\n", " \n", " // Tell Backbone to listen to the change event of input controls (which the HTML date picker is)\n", " events: {\"change\": \"handle_date_change\"},\n", " \n", " // Callback for when the date is changed.\n", " handle_date_change: function(event) {\n", " this.model.set('value', this.$date.val());\n", " this.touch();\n", " },\n", " });\n", " \n", " // Register the DatePickerView with the widget manager.\n", " WidgetManager.register_widget_view('DatePickerView', DatePickerView);\n", "});" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 9 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Test" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To test, create the widget the same way that the other widgets are created." ] }, { "cell_type": "code", "collapsed": false, "input": [ "my_widget = DateWidget()\n", "display(my_widget)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Display the widget again to make sure that both views remain in sync." ] }, { "cell_type": "code", "collapsed": false, "input": [ "my_widget" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Read the date from Python" ] }, { "cell_type": "code", "collapsed": false, "input": [ "my_widget.value" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 12, "text": [ "u''" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Set the date from Python" ] }, { "cell_type": "code", "collapsed": false, "input": [ "my_widget.value = \"1998-12-01\" # December 1st, 1998" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 13 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Section 3 - Extra credit" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The 3rd party `dateutil` library is required to continue. https://pypi.python.org/pypi/python-dateutil" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Import the dateutil library to parse date strings.\n", "from dateutil import parser" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 14 }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the last section we created a fully working date picker widget.\n", "Now we will add custom validation and support for labels.\n", "So far, only the ISO date format \"YYYY-MM-DD\" is supported.\n", "Now, we will add support for all of the date formats recognized by the Python dateutil library." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Python" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The standard property name used for widget labels is `description`.\n", "In the code block below, `description` has been added to the Python widget." ] }, { "cell_type": "code", "collapsed": false, "input": [ "class DateWidget(widgets.DOMWidget):\n", " _view_name = Unicode('DatePickerView', sync=True)\n", " value = Unicode(sync=True)\n", " description = Unicode(sync=True)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 15 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The traitlet machinery searches the class that the trait is defined in for methods with \"`_changed`\" suffixed onto their names. Any method with the format \"`_X_changed`\" will be called when \"`X`\" is modified.\n", "We can take advantage of this to perform validation and parsing of different date string formats.\n", "Below, a method that listens to value has been added to the DateWidget." ] }, { "cell_type": "code", "collapsed": false, "input": [ "class DateWidget(widgets.DOMWidget):\n", " _view_name = Unicode('DatePickerView', sync=True)\n", " value = Unicode(sync=True)\n", " description = Unicode(sync=True)\n", "\n", " # This function automatically gets called by the traitlet machinery when\n", " # value is modified because of this function's name.\n", " def _value_changed(self, name, old_value, new_value):\n", " pass" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 16 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now the function parses the date string,\n", "and only sets the value in the correct format." ] }, { "cell_type": "code", "collapsed": false, "input": [ "class DateWidget(widgets.DOMWidget):\n", " _view_name = Unicode('DatePickerView', sync=True)\n", " value = Unicode(sync=True)\n", " description = Unicode(sync=True)\n", " \n", " # This function automatically gets called by the traitlet machinery when\n", " # value is modified because of this function's name.\n", " def _value_changed(self, name, old_value, new_value):\n", " \n", " # Parse the date time value.\n", " try:\n", " parsed_date = parser.parse(new_value)\n", " parsed_date_string = parsed_date.strftime(\"%Y-%m-%d\")\n", " except:\n", " parsed_date_string = ''\n", " \n", " # Set the parsed date string if the current date string is different.\n", " if self.value != parsed_date_string:\n", " self.value = parsed_date_string" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 17 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, a `CallbackDispatcher` is added so the user can perform custom validation.\n", "If any one of the callbacks registered with the dispatcher returns False,\n", "the new date is not set.\n", "\n", "**Final Python code below:**" ] }, { "cell_type": "code", "collapsed": false, "input": [ "class DateWidget(widgets.DOMWidget):\n", " _view_name = Unicode('DatePickerView', sync=True)\n", " value = Unicode(sync=True)\n", " description = Unicode(sync=True)\n", " \n", " def __init__(self, **kwargs):\n", " super(DateWidget, self).__init__(**kwargs)\n", " \n", " self.validate = widgets.CallbackDispatcher()\n", " \n", " # This function automatically gets called by the traitlet machinery when\n", " # value is modified because of this function's name.\n", " def _value_changed(self, name, old_value, new_value):\n", " \n", " # Parse the date time value.\n", " try:\n", " parsed_date = parser.parse(new_value)\n", " parsed_date_string = parsed_date.strftime(\"%Y-%m-%d\")\n", " except:\n", " parsed_date_string = ''\n", " \n", " # Set the parsed date string if the current date string is different.\n", " if old_value != new_value:\n", " valid = self.validate(parsed_date)\n", " if valid in (None, True):\n", " self.value = parsed_date_string\n", " else:\n", " self.value = old_value\n", " self.send_state() # The traitlet event won't fire since the value isn't changing.\n", " # We need to force the back-end to send the front-end the state\n", " # to make sure that the date control date doesn't change." ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 18 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "JavaScript" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using the Javascript code from the last section,\n", "we add a label to the date time object.\n", "The label is a div with the `widget-hlabel` class applied to it.\n", "`widget-hlabel` is a class provided by the widget framework that applies special styling to a div to make it look like the rest of the horizontal labels used with the built-in widgets.\n", "Similar to the `widget-hlabel` class is the `widget-hbox-single` class.\n", "The `widget-hbox-single` class applies special styling to widget containers that store a single line horizontal widget.\n", "\n", "We hide the label if the description value is blank." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%javascript\n", "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", " \n", " // Define the DatePickerView\n", " var DatePickerView = IPython.DOMWidgetView.extend({\n", " render: function(){\n", " this.$el.addClass('widget-hbox-single'); /* Apply this class to the widget container to make\n", " it fit with the other built in widgets.*/\n", " // Create a label.\n", " this.$label = $('
    ')\n", " .addClass('widget-hlabel')\n", " .appendTo(this.$el)\n", " .hide(); // Hide the label by default.\n", " \n", " // Create the date picker control.\n", " this.$date = $('')\n", " .attr('type', 'date')\n", " .appendTo(this.$el);\n", " },\n", " \n", " update: function() {\n", " \n", " // Set the value of the date control and then call base.\n", " this.$date.val(this.model.get('value')); // ISO format \"YYYY-MM-DDTHH:mm:ss.sssZ\" is required\n", " \n", " // Hide or show the label depending on the existance of a description.\n", " var description = this.model.get('description');\n", " if (description == undefined || description == '') {\n", " this.$label.hide();\n", " } else {\n", " this.$label.show();\n", " this.$label.text(description);\n", " }\n", " \n", " return DatePickerView.__super__.update.apply(this);\n", " },\n", " \n", " // Tell Backbone to listen to the change event of input controls (which the HTML date picker is)\n", " events: {\"change\": \"handle_date_change\"},\n", " \n", " // Callback for when the date is changed.\n", " handle_date_change: function(event) {\n", " this.model.set('value', this.$date.val());\n", " this.touch();\n", " },\n", " });\n", " \n", " // Register the DatePickerView with the widget manager.\n", " WidgetManager.register_widget_view('DatePickerView', DatePickerView);\n", "});" ], "language": "python", "metadata": {}, "outputs": [ { "javascript": [ "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", " \n", " // Define the DatePickerView\n", " var DatePickerView = IPython.DOMWidgetView.extend({\n", " render: function(){\n", " this.$el.addClass('widget-hbox-single'); /* Apply this class to the widget container to make\n", " it fit with the other built in widgets.*/\n", " // Create a label.\n", " this.$label = $('
    ')\n", " .addClass('widget-hlabel')\n", " .appendTo(this.$el)\n", " .hide(); // Hide the label by default.\n", " \n", " // Create the date picker control.\n", " this.$date = $('')\n", " .attr('type', 'date')\n", " .appendTo(this.$el);\n", " },\n", " \n", " update: function() {\n", " \n", " // Set the value of the date control and then call base.\n", " this.$date.val(this.model.get('value')); // ISO format \"YYYY-MM-DDTHH:mm:ss.sssZ\" is required\n", " \n", " // Hide or show the label depending on the existance of a description.\n", " var description = this.model.get('description');\n", " if (description == undefined || description == '') {\n", " this.$label.hide();\n", " } else {\n", " this.$label.show();\n", " this.$label.text(description);\n", " }\n", " \n", " return DatePickerView.__super__.update.apply(this);\n", " },\n", " \n", " // Tell Backbone to listen to the change event of input controls (which the HTML date picker is)\n", " events: {\"change\": \"handle_date_change\"},\n", " \n", " // Callback for when the date is changed.\n", " handle_date_change: function(event) {\n", " this.model.set('value', this.$date.val());\n", " this.touch();\n", " },\n", " });\n", " \n", " // Register the DatePickerView with the widget manager.\n", " WidgetManager.register_widget_view('DatePickerView', DatePickerView);\n", "});" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 19 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Test" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To test the drawing of the label we create the widget like normal but supply the additional description property a value." ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Add some additional widgets for aesthetic purpose\n", "display(widgets.TextWidget(description=\"First:\"))\n", "display(widgets.TextWidget(description=\"Last:\"))\n", "\n", "my_widget = DateWidget()\n", "display(my_widget)\n", "my_widget.description=\"DOB:\"" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 20 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we will try to create a widget that only accepts dates in the year 2014. We render the widget without a description to verify that it can still render without a label." ] }, { "cell_type": "code", "collapsed": false, "input": [ "my_widget = DateWidget()\n", "display(my_widget)\n", "\n", "def require_2014(date):\n", " return not date is None and date.year == 2014\n", "my_widget.validate.register_callback(require_2014)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 21 }, { "cell_type": "code", "collapsed": false, "input": [ "# Try setting a valid date\n", "my_widget.value = \"December 2, 2014\"" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 22 }, { "cell_type": "code", "collapsed": false, "input": [ "# Try setting an invalid date\n", "my_widget.value = \"June 12, 1999\"" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 23 }, { "cell_type": "code", "collapsed": false, "input": [ "my_widget.value" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 24, "text": [ "u'2014-12-02'" ] } ], "prompt_number": 24 } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Exploring Graphs.ipynb0000644000076500000000000016376212466235755025405 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:61f24f38b76cb12d46c178eadc5d85d61bd0fc27f959236ea756ef8e1adc2693" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Explore Random Graphs Using NetworkX" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this example, we build a simple UI for exploring random graphs with [NetworkX](http://networkx.github.io/)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html.widgets import interact" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 12 }, { "cell_type": "code", "collapsed": false, "input": [ "import networkx as nx" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 13 }, { "cell_type": "code", "collapsed": false, "input": [ "# wrap a few graph generation functions so they have the same signature\n", "\n", "def random_lobster(n, m, k, p):\n", " return nx.random_lobster(n, p, p / m)\n", "\n", "def powerlaw_cluster(n, m, k, p):\n", " return nx.powerlaw_cluster_graph(n, m, p)\n", "\n", "def erdos_renyi(n, m, k, p):\n", " return nx.erdos_renyi_graph(n, p)\n", "\n", "def newman_watts_strogatz(n, m, k, p):\n", " return nx.newman_watts_strogatz_graph(n, k, p)\n", "\n", "def plot_random_graph(n, m, k, p, generator):\n", " g = generator(n, m, k, p)\n", " nx.draw(g)\n", " plt.show()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": [ "interact(plot_random_graph, n=(2,30), m=(1,10), k=(1,10), p=(0.0, 1.0, 0.001),\n", " generator={'lobster': random_lobster,\n", " 'power law': powerlaw_cluster,\n", " 'Newman-Watts-Strogatz': newman_watts_strogatz,\n", " u'Erd\u0151s-R\u00e9nyi': erdos_renyi,\n", " });" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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cnK6urvznn3+KdE8//fQTPTw8Cn1d1mktnp6e7NKlC2vWrElVVVVqamoWaVrL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UcfkZqayo033uhQ/dIBWFnY2RuKZT/n5eXh6uqK1WrFZrNhs9mq/Ny0aVN8fX3Jycnh7MGDUFRU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\nSUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 16 } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Export As (nbconvert).ipynb0000644000076500000000000001220312466235755026117 0ustar minrkwheel00000000000000{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "# Widget related imports\n", "from IPython.html import widgets\n", "from IPython.display import display, clear_output, Javascript\n", "from IPython.utils.traitlets import Unicode\n", "\n", "# nbconvert related imports\n", "from IPython.nbconvert import get_export_names, export_by_name\n", "from IPython.nbconvert.writers import FilesWriter\n", "from IPython.nbformat import current\n", "from IPython.nbconvert.utils.exceptions import ConversionException" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create a text Widget without displaying it. The widget will be used to store the notebook's name which is otherwise only available in the front-end." ] }, { "cell_type": "code", "collapsed": false, "input": [ "notebook_name = widgets.TextWidget()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Get the current notebook's name by pushing JavaScript to the browser that sets the notebook name in a string widget." ] }, { "cell_type": "code", "collapsed": false, "input": [ "js = \"\"\"var model = IPython.notebook.kernel.widget_manager.get_model('{model_id}');\n", "model.set('value', IPython.notebook.notebook_name);\n", "model.save();\"\"\".format(model_id=notebook_name.model_id)\n", "display(Javascript(data=js))" ], "language": "python", "metadata": {}, "outputs": [ { "javascript": [ "var model = IPython.notebook.kernel.widget_manager.get_model('8c6583524eb3422c99491730a3e1ce6c');\n", "model.set('value', IPython.notebook.notebook_name);\n", "model.save();" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "filename = notebook_name.value\n", "filename" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 4, "text": [ "u'Export As (nbconvert).ipynb'" ] } ], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create the widget that will allow the user to Export the current notebook." ] }, { "cell_type": "code", "collapsed": false, "input": [ "exporter_names = widgets.DropdownWidget(values=get_export_names(), value='html')\n", "export_button = widgets.ButtonWidget(description=\"Export\")\n", "download_link = widgets.HTMLWidget(visible=False)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Export the notebook when the export button is clicked." ] }, { "cell_type": "code", "collapsed": false, "input": [ "file_writer = FilesWriter()\n", "\n", "def export(name, nb):\n", " \n", " # Get a unique key for the notebook and set it in the resources object.\n", " notebook_name = name[:name.rfind('.')]\n", " resources = {}\n", " resources['unique_key'] = notebook_name\n", " resources['output_files_dir'] = '%s_files' % notebook_name\n", "\n", " # Try to export\n", " try:\n", " output, resources = export_by_name(exporter_names.value, nb)\n", " except ConversionException as e:\n", " download_link.value = \"
    Could not export notebook!\"\n", " else:\n", " write_results = file_writer.write(output, resources, notebook_name=notebook_name)\n", " \n", " download_link.value = \"
    Results: \\\"{filename}\\\"\".format(filename=write_results)\n", " download_link.visible = True\n", " \n", "def handle_export(widget):\n", " with open(filename, 'r') as f:\n", " export(filename, current.read(f, 'json'))\n", "export_button.on_click(handle_export)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Display the controls." ] }, { "cell_type": "code", "collapsed": false, "input": [ "display(exporter_names, export_button, download_link)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 } ], "metadata": {} } ] } ipython-2.4.1/examples/Interactive Widgets/Factoring.ipynb0000644000076500000000000000706612466235755024137 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:5f38c57d9570e4b6f6edf98c38a7bff81cd16365baa11fd40265f1504bfc008c" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Factoring Polynomials with SymPy" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here is an example that uses [SymPy](http://sympy.org/en/index.html) to factor polynomials." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html.widgets import interact\n", "from IPython.display import display" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "from sympy import Symbol, Eq, factor, init_printing\n", "init_printing(use_latex='mathjax')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "x = Symbol('x')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "def factorit(n):\n", " display(Eq(x**n-1, factor(x**n-1)))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Notice how the output of the `factorit` function is properly formatted LaTeX." ] }, { "cell_type": "code", "collapsed": false, "input": [ "factorit(12)" ], "language": "python", "metadata": {}, "outputs": [ { "latex": [ "$$x^{12} - 1 = \\left(x - 1\\right) \\left(x + 1\\right) \\left(x^{2} + 1\\right) \\left(x^{2} - x + 1\\right) \\left(x^{2} + x + 1\\right) \\left(x^{4} - x^{2} + 1\\right)$$" ], "metadata": {}, "output_type": "display_data", "text": [ " 12 \u239b 2 \u239e \u239b 2 \u239e \u239b 2 \u239e \u239b 4 2 \u239e\n", "x - 1 = (x - 1)\u22c5(x + 1)\u22c5\u239dx + 1\u23a0\u22c5\u239dx - x + 1\u23a0\u22c5\u239dx + x + 1\u23a0\u22c5\u239dx - x + 1\u23a0" ] } ], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ "interact(factorit, n=(2,40));" ], "language": "python", "metadata": {}, "outputs": [ { "latex": [ "$$x^{21} - 1 = \\left(x - 1\\right) \\left(x^{2} + x + 1\\right) \\left(x^{6} + x^{5} + x^{4} + x^{3} + x^{2} + x + 1\\right) \\left(x^{12} - x^{11} + x^{9} - x^{8} + x^{6} - x^{4} + x^{3} - x + 1\\right)$$" ], "metadata": {}, "output_type": "display_data", "text": [ " 21 \u239b 2 \u239e \u239b 6 5 4 3 2 \u239e \u239b 12 11 \n", "x - 1 = (x - 1)\u22c5\u239dx + x + 1\u23a0\u22c5\u239dx + x + x + x + x + x + 1\u23a0\u22c5\u239dx - x + x\n", "\n", "9 8 6 4 3 \u239e\n", " - x + x - x + x - x + 1\u23a0" ] } ], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/File Upload Widget.ipynb0000644000076500000000000002107512466235755025507 0ustar minrkwheel00000000000000{ "metadata": { "cell_tags": [ [ "", null ] ], "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "import base64\n", "from __future__ import print_function # py 2.7 compat.\n", "from IPython.html import widgets # Widget definitions.\n", "from IPython.utils.traitlets import Unicode # Traitlet needed to add synced attributes to the widget." ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is a custom widget that allows the user to upload file data to the notebook server. The file data is sent via a statefull `value` attribute of the widget. The widget has an upload failed event that fires in the front-end and is echoed to the back-end using a custom msg." ] }, { "cell_type": "code", "collapsed": false, "input": [ "class FileWidget(widgets.DOMWidget):\n", " _view_name = Unicode('FilePickerView', sync=True)\n", " value = Unicode(sync=True)\n", " filename = Unicode(sync=True)\n", " \n", " def __init__(self, **kwargs):\n", " \"\"\"Constructor\"\"\"\n", " widgets.DOMWidget.__init__(self, **kwargs) # Call the base.\n", " \n", " # Allow the user to register error callbacks with the following signatures:\n", " # callback()\n", " # callback(sender)\n", " self.errors = widgets.CallbackDispatcher(accepted_nargs=[0, 1])\n", " \n", " # Listen for custom msgs\n", " self.on_msg(self._handle_custom_msg)\n", "\n", " def _handle_custom_msg(self, content):\n", " \"\"\"Handle a msg from the front-end.\n", "\n", " Parameters\n", " ----------\n", " content: dict\n", " Content of the msg.\"\"\"\n", " if 'event' in content and content['event'] == 'error':\n", " self.errors()\n", " self.errors(self)\n", " " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "%%javascript\n", "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", "\n", " var FilePickerView = IPython.WidgetView.extend({\n", " render: function(){\n", " // Render the view.\n", " this.setElement($('')\n", " .attr('type', 'file'));\n", " },\n", " \n", " events: {\n", " // List of events and their handlers.\n", " 'change': 'handle_file_change',\n", " },\n", " \n", " handle_file_change: function(evt) { \n", " // Handle when the user has changed the file.\n", " \n", " // Retrieve the first (and only!) File from the FileList object\n", " var file = evt.target.files[0];\n", " if (file) {\n", "\n", " // Read the file's textual content and set value to those contents.\n", " var that = this;\n", " var file_reader = new FileReader();\n", " file_reader.onload = function(e) {\n", " that.model.set('value', e.target.result);\n", " that.touch();\n", " }\n", " file_reader.readAsText(file);\n", " } else {\n", "\n", " // The file couldn't be opened. Send an error msg to the\n", " // back-end.\n", " this.send({ 'event': 'error' });\n", " }\n", "\n", " // Set the filename of the file.\n", " this.model.set('filename', file.name);\n", " this.touch();\n", " },\n", " });\n", " \n", " // Register the DatePickerView with the widget manager.\n", " WidgetManager.register_widget_view('FilePickerView', FilePickerView);\n", "});" ], "language": "python", "metadata": {}, "outputs": [ { "javascript": [ "\n", "require([\"widgets/js/widget\"], function(WidgetManager){\n", "\n", " var FilePickerView = IPython.WidgetView.extend({\n", " render: function(){\n", " // Render the view.\n", " this.setElement($('')\n", " .attr('type', 'file'));\n", " },\n", " \n", " events: {\n", " // List of events and their handlers.\n", " 'change': 'handle_file_change',\n", " },\n", " \n", " handle_file_change: function(evt) { \n", " // Handle when the user has changed the file.\n", " \n", " // Retrieve the first (and only!) File from the FileList object\n", " var file = evt.target.files[0];\n", " if (file) {\n", "\n", " // Read the file's textual content and set value to those contents.\n", " var that = this;\n", " var file_reader = new FileReader();\n", " file_reader.onload = function(e) {\n", " that.model.set('value', e.target.result);\n", " that.touch();\n", " }\n", " file_reader.readAsText(file);\n", " } else {\n", "\n", " // The file couldn't be opened. Send an error msg to the\n", " // back-end.\n", " this.send({ 'event': 'error' });\n", " }\n", "\n", " // Set the filename of the file.\n", " this.model.set('filename', file.name);\n", " this.touch();\n", " },\n", " });\n", " \n", " // Register the DatePickerView with the widget manager.\n", " WidgetManager.register_widget_view('FilePickerView', FilePickerView);\n", "});" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following shows how the file widget can be used." ] }, { "cell_type": "code", "collapsed": false, "input": [ "file_widget = FileWidget()\n", "\n", "# Register an event to echo the filename when it has been changed.\n", "def file_loading():\n", " print(\"Loading %s\" % file_widget.filename)\n", "file_widget.on_trait_change(file_loading, 'filename')\n", "\n", "# Register an event to echo the filename and contents when a file\n", "# has been uploaded.\n", "def file_loaded():\n", " print(\"Loaded, file contents: %s\" % file_widget.value)\n", "file_widget.on_trait_change(file_loaded, 'value')\n", "\n", "# Register an event to print an error message when a file could not\n", "# be opened. Since the error messages are not handled through\n", "# traitlets but instead handled through custom msgs, the registration\n", "# of the handler is different than the two examples above. Instead\n", "# the API provided by the CallbackDispatcher must be used.\n", "def file_failed():\n", " print(\"Could not load file contents of %s\" % file_widget.filename)\n", "file_widget.errors.register_callback(file_failed)\n", "\n", "file_widget" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Loading test.txt\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Loaded, file contents: Hello World!\n", "\n" ] } ], "prompt_number": 4 } ], "metadata": {} } ] } ipython-2.4.1/examples/Interactive Widgets/Image Browser.ipynb0000644000076500000000000004112612466235755024644 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:4e9f4ce8fa9be2e33ffdae399daec11bf3ef63a6f0065b1d59739310ebfe8008" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Image Browser" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This example shows how to browse through a set of images with a slider." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 13 }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html.widgets import interact" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "from sklearn import datasets" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will use the digits dataset from [scikit-learn](http://scikit-learn.org/stable/)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "digits = datasets.load_digits()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 12 }, { "cell_type": "code", "collapsed": false, "input": [ "def browse_images(digits):\n", " n = len(digits.images)\n", " def view_image(i):\n", " plt.imshow(digits.images[i], cmap=plt.cm.gray_r, interpolation='nearest')\n", " plt.title('Training: %s' % digits.target[i])\n", " plt.show()\n", " interact(view_image, i=(0,n-1))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": [ "browse_images(digits)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": { "png": { "height": 390, "width": 370 } }, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 15 } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Image Processing.ipynb0000644000076500000000000771511512466235755025352 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:d75ab1c53fa3389eeac78ecf8e89beb52871950f296aad25776699b6d6125037" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Image Manipulation with skimage" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This example builds a simple UI for performing basic image manipulation with [scikit-image](http://scikit-image.org/)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html.widgets import interact, interactive, fixed\n", "from IPython.display import display" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 21 }, { "cell_type": "code", "collapsed": false, "input": [ "import skimage\n", "from skimage import data, filter, io" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 22 }, { "cell_type": "code", "collapsed": false, "input": [ "i = data.coffee()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 23 }, { "cell_type": "code", "collapsed": false, "input": [ "io.Image(i)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "png": 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J/Wah/7oW/6uKaG8LNCmiSAiSEuJbgUQB1IN0ASkVaYBQBXSjVU0RkbHQ9voWWYSLgpLW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\nlv2b4XrKUd2aqdPD4+nq7athn+v7YwWu317fXQ3P7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Kn7CD/eWH+wL+SPl97NBPzyy2OL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G/LZDz0CQimcc757na7r7yqOgz6xctH+10pHL/865/0LjffvXt7v0qzkxe/ePzi5bPlIpfV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\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yzt78na/sf/Ub2391ufro4vIP/p8nf/Z/+eTDH9989P0eS2S6udwPtLEaCyGzVgQQV3Mv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\nfWu6yH0nOZuaiYpDNsYM5iCoZQp4aH3trXNXsI6f//X3VyeO/et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r9an1rq6q9eneIqZE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NDMGShzia0ilTp9ASQvnbnlYVNonAjoFZIiUPH/wULhuthBFjBkk9XAK2wjRiYGNMVI6hUV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\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MF/1Wr5W4PARgm5ow2Bo8Ohqzh36W5VwX5XzQ7w96SW/Qe3ZyGkXx3JtRrKo1OfGicToI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\nnoxn1WqVJTaO03a7Vaxmw+2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3T+7++CcH+4fDjR6ImT4+1hA2X3phcPNlT+buO+8c3Xt6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NU7b9w+nYx4PPnlG/3dmxum0W4HfpwWaVHmcXU+mirjN8P0q7/4xt6d158fzc6P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\nmZYwq7gAZJACJCaMHVw6LkQcggBprjv5SCJGsPxZRgvBIJUCtSNCC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Q7MhorFiyhFIN4r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0s+IFmCQSACUCSF4AMQBEIGBvkBq7Dt9ZfxABScC9R7I16Rh/10rE5lqyOUeMoG3iO4A1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\nKxHPaEyUDG0pt7oLFQTdcdAab9alavWzs0+3xS7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"prompt_number": 24, "text": [ "Image([[[ 21, 13, 8],\n", " [ 21, 13, 9],\n", " [ 20, 11, 8],\n", " ..., \n", " [228, 182, 138],\n", " [231, 185, 142],\n", " [228, 184, 140]],\n", "\n", " [[ 21, 13, 7],\n", " [ 21, 13, 9],\n", " [ 20, 14, 7],\n", " ..., \n", " [228, 182, 136],\n", " [231, 185, 139],\n", " [229, 183, 137]],\n", "\n", " [[ 21, 14, 7],\n", " [ 23, 13, 10],\n", " [ 20, 14, 9],\n", " ..., \n", " [228, 182, 136],\n", " [228, 184, 137],\n", " [229, 185, 138]],\n", "\n", " ..., \n", " [[189, 124, 77],\n", " [214, 155, 109],\n", " [197, 141, 100],\n", " ..., \n", " [165, 86, 37],\n", " [161, 82, 41],\n", " [143, 67, 29]],\n", "\n", " [[207, 148, 102],\n", " [201, 142, 99],\n", " [196, 140, 97],\n", " ..., \n", " [154, 74, 37],\n", " [147, 66, 33],\n", " [145, 65, 31]],\n", "\n", " [[197, 141, 100],\n", " [195, 137, 99],\n", " [193, 138, 98],\n", " ..., \n", " [158, 73, 38],\n", " [144, 64, 30],\n", " [143, 60, 29]]], dtype=uint8)" ] } ], "prompt_number": 24 }, { "cell_type": "code", "collapsed": false, "input": [ "def edit_image(image, sigma=0.1, r=1.0, g=1.0, b=1.0):\n", " new_image = filter.gaussian_filter(image, sigma=sigma, multichannel=True)\n", " new_image[:,:,0] = r*new_image[:,:,0]\n", " new_image[:,:,1] = g*new_image[:,:,1]\n", " new_image[:,:,2] = b*new_image[:,:,2]\n", " new_image = io.Image(new_image)\n", " display(new_image)\n", " return new_image" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 25 }, { "cell_type": "code", "collapsed": false, "input": [ "lims = (0.0,1.0,0.01)\n", "w = interactive(edit_image, image=fixed(i), sigma=(0.0,10.0,0.1), r=lims, g=lims, b=lims)\n", "display(w)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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J/Wah/7oW/6uKaG8LNCmiSAiSEuJbgUQB1IN0ASkVaYBQBXSjVU0RkbHQ9voWWYSLgpLW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\nlv2b4XrKUd2aqdPD4+nq7athn+v7YwWu317fXQ3P7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Kn7CD/eWH+wL+SPl97NBPzyy2OL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G/LZDz0CQimcc757na7r7yqOgz6xctH+10pHL/865/0LjffvXt7v0qzkxe/ePzi5bPlIpfV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\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yzt78na/sf/Ub2391ufro4vIP/p8nf/Z/+eTDH9989P0eS2S6udwPtLEaCyGzVgQQV3Mv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\nfWu6yH0nOZuaiYpDNsYM5iCoZQp4aH3trXNXsI6f//X3VyeO/et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r9an1rq6q9eneIqZE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NDMGShzia0ilTp9ASQvnbnlYVNonAjoFZIiUPH/wULhuthBFjBkk9XAK2wjRiYGNMVI6hUV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\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MF/1Wr5W4PARgm5ow2Bo8Ohqzh36W5VwX5XzQ7w96SW/Qe3ZyGkXx3JtRrKo1OfGicToI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\nnoxn1WqVJTaO03a7Vaxmw+2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3T+7++CcH+4fDjR6ImT4+1hA2X3phcPNlT+buO+8c3Xt6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NU7b9w+nYx4PPnlG/3dmxum0W4HfpwWaVHmcXU+mirjN8P0q7/4xt6d158fzc6P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\nmZYwq7gAZJACJCaMHVw6LkQcggBprjv5SCJGsPxZRgvBIJUCtSNCC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Q7MhorFiyhFIN4r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0s+IFmCQSACUCSF4AMQBEIGBvkBq7Dt9ZfxABScC9R7I16Rh/10rE5lqyOUeMoG3iO4A1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\nKxHPaEyUDG0pt7oLFQTdcdAab9alavWzs0+3xS7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J/Wah/7oW/6uKaG8LNCmiSAiSEuJbgUQB1IN0ASkVaYBQBXSjVU0RkbHQ9voWWYSLgpLW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\nlv2b4XrKUd2aqdPD4+nq7athn+v7YwWu317fXQ3P7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Kn7CD/eWH+wL+SPl97NBPzyy2OL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G/LZDz0CQimcc757na7r7yqOgz6xctH+10pHL/865/0LjffvXt7v0qzkxe/ePzi5bPlIpfV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\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yzt78na/sf/Ub2391ufro4vIP/p8nf/Z/+eTDH9989P0eS2S6udwPtLEaCyGzVgQQV3Mv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\nfWu6yH0nOZuaiYpDNsYM5iCoZQp4aH3trXNXsI6f//X3VyeO/et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r9an1rq6q9eneIqZE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NDMGShzia0ilTp9ASQvnbnlYVNonAjoFZIiUPH/wULhuthBFjBkk9XAK2wjRiYGNMVI6hUV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\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MF/1Wr5W4PARgm5ow2Bo8Ohqzh36W5VwX5XzQ7w96SW/Qe3ZyGkXx3JtRrKo1OfGicToI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\nnoxn1WqVJTaO03a7Vaxmw+2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3T+7++CcH+4fDjR6ImT4+1hA2X3phcPNlT+buO+8c3Xt6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NU7b9w+nYx4PPnlG/3dmxum0W4HfpwWaVHmcXU+mirjN8P0q7/4xt6d158fzc6P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\nmZYwq7gAZJACJCaMHVw6LkQcggBprjv5SCJGsPxZRgvBIJUCtSNCC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Q7MhorFiyhFIN4r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0s+IFmCQSACUCSF4AMQBEIGBvkBq7Dt9ZfxABScC9R7I16Rh/10rE5lqyOUeMoG3iO4A1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\nKxHPaEyUDG0pt7oLFQTdcdAab9alavWzs0+3xS7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"prompt_number": 27, "text": [ "Image([[[ 0.08235294, 0.05098039, 0.03137255],\n", " [ 0.08235294, 0.05098039, 0.03529412],\n", " [ 0.07843137, 0.04313725, 0.03137255],\n", " ..., \n", " [ 0.89411765, 0.71372549, 0.54117647],\n", " [ 0.90588235, 0.7254902 , 0.55686275],\n", " [ 0.89411765, 0.72156863, 0.54901961]],\n", "\n", " [[ 0.08235294, 0.05098039, 0.02745098],\n", " [ 0.08235294, 0.05098039, 0.03529412],\n", " [ 0.07843137, 0.05490196, 0.02745098],\n", " ..., \n", " [ 0.89411765, 0.71372549, 0.53333333],\n", " [ 0.90588235, 0.7254902 , 0.54509804],\n", " [ 0.89803922, 0.71764706, 0.5372549 ]],\n", "\n", " [[ 0.08235294, 0.05490196, 0.02745098],\n", " [ 0.09019608, 0.05098039, 0.03921569],\n", " [ 0.07843137, 0.05490196, 0.03529412],\n", " ..., \n", " [ 0.89411765, 0.71372549, 0.53333333],\n", " [ 0.89411765, 0.72156863, 0.5372549 ],\n", " [ 0.89803922, 0.7254902 , 0.54117647]],\n", "\n", " ..., \n", " [[ 0.74117647, 0.48627451, 0.30196078],\n", " [ 0.83921569, 0.60784314, 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use the new function annotation syntax to describe widgets for interact:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "lims = (0.0,1.0,0.01)\n", "\n", "@interact\n", "def edit_image(image: fixed(i), sigma:(0.0,10.0,0.1)=0.1, r:lims=1.0, g:lims=1.0, b:lims=1.0):\n", " new_image = filter.gaussian_filter(image, sigma=sigma, multichannel=True)\n", " new_image[:,:,0] = r*new_image[:,:,0]\n", " new_image[:,:,1] = g*new_image[:,:,1]\n", " new_image[:,:,2] = b*new_image[:,:,2]\n", " new_image = io.Image(new_image)\n", " display(new_image)\n", " return new_image" ], "language": "python", "metadata": {}, "outputs": [ { "jpeg": 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yjYvRy1ZV8isxWxVmKSqTMZRLZpynmow2RSg80zOxfharinis+A1fTpVxOeaK9yuRWdNw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\npgg60tyXIJZQg61mTT7j1pL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TOUfW+GHQp79kfItawje7AmGBiGLNjUsfkfoO79tu/wUK3re9/eTtl3q/HRQj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drlinpSU7tZlbxjkSh3jSgX04EwVk1THxFTEPi+40l/y8KoKdWb6i8UoNQ55Viq0o1puARp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"sha256:6873fce87f9a4123795746d3857404b83e1bb099cc5a968aa85100dade070c41" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Back to the main [Index](../Index.ipynb)" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Interactive Widgets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython includes an architecture for interactive widgets that tie together Python code running in the kernel and JavaScript/HTML/CSS running in the browser. These widgets enable users to explore their code and data interactively." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Tutorials" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- [Using Interact](Using Interact.ipynb)\n", "- [Widget Basics](Widget Basics.ipynb) \n", "- [Widget Events](Widget Events.ipynb) \n", "- [Widget Placement](Widget Placement.ipynb) \n", "- [Widget Styles](Widget Styles.ipynb) \n", "- [Widget Alignment](Widget Alignment.ipynb) \n", "- [Custom Widgets](Custom Widgets.ipynb)" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Examples of custom widgets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- [Variable Inspector](Variable Inspector.ipynb) \n", "- [Export As (nbconvert)](Export As (nbconvert%29.ipynb) \n", "- [Nonblocking Console](Nonblocking Console.ipynb) \n", "- [File Upload Widget](File Upload Widget.ipynb)" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Examples using `interact`/`interactive`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [Beat Frequencies](Beat Frequencies.ipynb)\n", "* [Exploring Graphs](Exploring Graphs.ipynb)\n", "* [Factoring](Factoring.ipynb)\n", "* [Image Browser](Image Browser.ipynb)\n", "* [Image Processing](Image Processing.ipynb)\n", "* [Lorenz Differential Equations](Lorenz Differential Equations.ipynb)" ] } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Lorenz Differential Equations.ipynb0000644000076500000000000372572212466235755030013 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:c6ccfb14927d633933da8b5c0f776a8da756d833654b5a3f8b6121b390ca6424" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Exploring the Lorenz System of Differential Equations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this Notebook we explore the Lorenz system of differential equations:\n", "\n", "$$\n", "\\begin{aligned}\n", "\\dot{x} & = \\sigma(y-x) \\\\\n", "\\dot{y} & = \\rho x - y - xz \\\\\n", "\\dot{z} & = -\\beta z + xy\n", "\\end{aligned}\n", "$$\n", "\n", "This is one of the classic systems in non-linear differential equations. It exhibits a range of different behaviors as the parameters ($\\sigma$, $\\beta$, $\\rho$) are varied." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Imports" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, we import the needed things from IPython, NumPy, Matplotlib and SciPy." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html.widgets import interact, interactive\n", "from IPython.display import clear_output, display, HTML" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "import numpy as np\n", "from scipy import integrate\n", "\n", "from matplotlib import pyplot as plt\n", "from mpl_toolkits.mplot3d import Axes3D\n", "from matplotlib.colors import cnames\n", "from matplotlib import animation" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Computing the trajectories and plotting the result" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We define a function that can integrate the differential equations numerically and then plot the solutions. This function has arguments that control the parameters of the differential equation ($\\sigma$, $\\beta$, $\\rho$), the numerical integration (`N`, `max_time`) and the visualization (`angle`)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "def solve_lorenz(N=10, angle=0.0, max_time=4.0, sigma=10.0, beta=8./3, rho=28.0):\n", "\n", " fig = plt.figure()\n", " ax = fig.add_axes([0, 0, 1, 1], projection='3d')\n", " ax.axis('off')\n", "\n", " # prepare the axes limits\n", " ax.set_xlim((-25, 25))\n", " ax.set_ylim((-35, 35))\n", " ax.set_zlim((5, 55))\n", " \n", " def lorenz_deriv((x, y, z), t0, sigma=sigma, beta=beta, rho=rho):\n", " \"\"\"Compute the time-derivative of a Lorentz system.\"\"\"\n", " return [sigma * (y - x), x * (rho - z) - y, x * y - beta * z]\n", "\n", " # Choose random starting points, uniformly distributed from -15 to 15\n", " np.random.seed(1)\n", " x0 = -15 + 30 * np.random.random((N, 3))\n", "\n", " # Solve for the trajectories\n", " t = np.linspace(0, max_time, int(250*max_time))\n", " x_t = np.asarray([integrate.odeint(lorenz_deriv, x0i, t)\n", " for x0i in x0])\n", " \n", " # choose a different color for each trajectory\n", " colors = plt.cm.jet(np.linspace(0, 1, N))\n", "\n", " for i in range(N):\n", " x, y, z = x_t[i,:,:].T\n", " lines = ax.plot(x, y, z, '-', c=colors[i])\n", " plt.setp(lines, linewidth=2)\n", "\n", " ax.view_init(30, angle)\n", " plt.show()\n", "\n", " return t, x_t" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's call the function once to view the solutions. For this set of parameters, we see the trajectories swirling around two points, called attractors. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "t, x_t = solve_lorenz(angle=0, N=10)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": { "png": { "height": 459, "width": 734 } }, "output_type": "display_data", "png": 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D9ZlMb1kE3QCaEZetF0Of6Nngx2owM00+JuCZ+kJqoE5ODlK3Nu7573nSv/+d\nndiyuQmCR4xwdMstDTrqKPp7AwAAdHQE3gAAtLG6OumGG8L629+Ccpz8XWo06umaaxK69NKUQqG2\n2y5Xnt7yb9Cs0Cqt8cWafdxQu0JfSg7RuEyVzH0/JADQxSRk6z/BNXo2tFr1LQTfn0vtp1OSg9t8\nslvblh56KDux5caNTbeWuvjilH7604QikTbdNAAAAOwFAm8AANrQO+9YuuiiMq1enV9FaBiezjkn\nO1lanz5tt7u05erVwDr9K7RKG6xEs487KNNDU5JDNcruIYOgG8A+SsnRi43Bd52ZbvIxfs/U8akB\nOiU5WJVeG575U3Ziy9tvD+n225ue2HLoUEe33x7XhAl2m24XAAAAWofAGwCANuA40p/+FNJNN4Vk\n2/m70WOOyfbpHju27S6XT8nR7GC1ng2tVq2ZavZx49K9NCU5RMOd7m22bQBKX0qOXg5W65nQKm1r\nIfg+LtVfpyaHqGcbB99r1xq64YawHn44v9J8e7X3ddclVFbWppsFAACAPSDwBgCgyNatM3TZZWWa\nMye/V/fgwY6uvz6hyZPbrk93g5HRf4Jr9Hzw42bbChie9JlMH01ODtEgp7xtNgxAl5RuPPk2K7Ra\nW5s5+WZ5ho5L99fk5BD1csNtun1z5vh01VURffJJ/pU5Q4c6uu22uI4+mmpvAACAjoLAGwCAInru\nOb+uvDKi2tr8frAXXZTUL36RULiNspsGI6N/BVfrxdAnShhNV5JbnqFj0v10anKI+ro0qQXQdtJy\n9EpwrWaFVjV71YnlGTo23V9TkkNU1YbBd329dP31Yd1zT9NV5hdfnNRPf0q1NwAAQEdA4A0AQBEk\nEtLPfx7W3XfnhyOVla5uvz2uk05qurq60Dx5ei2wTo+El7Y4UdzxqQE6KTm4zdsGAMCuMnL1amCt\nng6t0mYr2eRjtp+cm5wcoj5teHLulVey1d4ff0y1NwAAQEdF4A0AQIEtWmTqwgvL9NFHvrx1xx2X\n0Z//3KD+/dtmd1htxjQjskiL/FubXB/2LJ2QHKgTU4NU4QXaZJsAoDW2T6j7dGilNjUTfJueoaPT\nfTUlOUR93bYpr47FstXeTZ3QlKj2BgAAaG8E3gAAFIjnSffdF9C110aUTObuKi3L07XXJnTVVSlZ\n+YWBBZeSoyfDK/Rc8GM5Rv6ut9z164upQfp8aj+Vefm9xQGgo7Dl6vXAej0dWqmNVqLJx5ieoUmp\ngTotMUzSbu8DAAAgAElEQVQR5Z9sLIZXXvHp29+OaPXq/Df1IUOy1d7HHEO1NwAAQFsj8AYAoAC2\nbDH0ne9ENGtWfpX04MGO7rqrQYcf3nTf7EKb66/RQ+HFTVZE+j1Tk5NDdHJysIJqg+QdAArEkas3\nAuv1VGiVNljxJh/TzQ1oWuIAHZ3uK2PfP7K0Wiwm/b//F9ZddzVd7X3RRdlq72i06JsCAACARgTe\nAAB8Sq+95tMll5Rp7dr8iSnPOCOl3/0uroqK4m9HjZnQQ+HFmhfY1OT6MZme+kb8wDbtdwsAhebK\n05uB9XoqtFLrmgm+R2S66xuJAzXIKW+TbXr11Wy196pV+ScSBw/OVnsfeyzV3gAAAG2BwBsAgH1k\n29LNN4f0hz+E5Lq5u8Zo1NPNN8c1bVpaRpGLDG25ei74sZ4Mr1DacPPW93CDOic+QodnerdJxSMA\ntAVXnt72b9A/wsuavKLF8KQTUgP1leSwNmnd1NCQrfaePr3pau8LL0zqZz+j2hsAAKDYCLwBANgH\nH39s6uKLy/T22/m9YsePt3XXXQ0aNiw/fC60hb5azYgs1lqrIW+d6Rk6sbGnbbiNetoCQFtLydEz\noVX6V2i1Mk2c9KtwA/pqYriOSfeT2QYn/V57zaerrmq+2vtPf4pr4kSqvQEAAIqFwBsAgL30xBN+\nffe7EdXV5bcw+fa3k/rJTxIK5LfyLqg6I62Hw0v0enB9k+uH2910Xnxkm13ODwDtbYMZ10PhJXq/\nmbZOw+1u+kb8QA1xit9jak/V3hdckNTPf061NwAAQDEQeAMA0EoNDdKPfhTRQw8F89b16ePqz39u\n0Oc+V9yqPVeeXg5U6x/hZYqb+WOVuX5NSwzXxHT/NqlkBICOZp6/Rg+Fl6jGSuStMzzp86n9dHpy\nf0XboM3J669nq71Xrsyv9h40KNvbm2pvAACAwiLwBgCgFebPt3ThhWVatiw/tJg0KaPbb29QVVVx\nd3GrrDrdH1mkFb66Jtcfl+qvryaGq9wrcnk5AHRwaTl6JrRaz4RWNdnmpNz164zEcB3XBicHW6r2\nNgxPP/5xUtdck5SZf9EQAAAA9gGBNwAALXBd6c47g7r++rDS6dzdXyDg6Re/SOiSS1JFnZgyLluP\nhZfpxeAaeU2Ms58d1XnxkRrhdC/eRgBAJ1RjJvRQeLHmNdPmZJhdoXPjIzW0DdqctFTtfdJJaf3l\nL3F168ZHJQAAgE+LwBsAgGbU1Bi64ooy/fvf+Ze9H3CAo7vvbtCYMU7Rxvfk6U3/Bj0cWaJtZjpv\nfdCzdHpimE5IDZRPlAYCQHPe923Sg5HF2thMm5PPpgfozMT+ihb5Cpl4XPrVr8L661+D8nY7gzls\nmKMZM2IaNar4Ex4DAACUMgJvAACa8J//+HT55WXauDE/SP7GN1K68ca4ysqKN/46s0EzIov1kb+2\nyfWHp3vrnPgIVXpNT4gGAMiVlqPnQh/r6dBKpZtoc1Lm+nVGYn8dnx5Q9DYns2f7dOGFZdq8OXcf\nE4l4uvXWBk2dminq+AAAAKWMwBsAgF2k09leq3fckR8kV1S4uuWWuE47rXhBRFqOng6t0r9Cq2Qb\n+bvMKiesb8QP1CF2r6JtAwCUsk1mQg+Hl+idQE2T64fY5To3PlL7O92Kuh1r1hg677yo5s3z5a27\n9NKkfvnLhPzFn1cTAACg5BB4AwDQaPlyUxddVKb33ssPH4480tb06Q0aOLB4l5q/79ukByKLVdPE\nJfc+z9CpySGanByigPL7vwIA9s4C32Y9GFms9Va8yfXHpfrrrMQBKvOKlzonk9IPfxjRAw8E89Yd\nfXRG99zToD59+PgEAACwNwi8AQBQdjKxr32tTHV1uZeXm6an730vqe9/Pylffg5eEHVGWvdHFjZb\nbTgqU6lz4weqn1vEHioA0AVl5Or54Md6MryiyTYnlW5QFzccrIPsyqJux4wZAf3gB5G8yZH79XN1\n770xfeYzxZsvAgAAoNQQeAMAurxnnvHrwgvLlErl7t4GDHA1fXqDJkywizb2Emur7ogu0FYzlbeu\nmxvQ1+IjdGSmj4wi95MFgK5ss5HUw5El+m9gY946w5NOTg3W1MT+RZ0geO5cS+edF1V1de4Yfr+n\nG29M6FvfSslgVwAAALBHBN4AgC5txoyArrkmItfN3bVNnpzWrbfG1aNHcXZbnjw9H/xYj4aXyd2t\nV7fhSSekBur0xP6KqEhl5QCAPB/6NuuByGKta6LNyWC7XJc2jFb/Il5ts2mToQsvLNOcOfltVM46\nK6Xf/z6ucLhowwMAAJQEAm8AQJfkedIf/hDSDTfkJwfXXZfQd7+bLFolXUK27i77SO80UUk41K7Q\n+fGRGuJUFGdwAECLbLl6LLxczwZXy9ttPxDwTJ0VH6HPpwcU7cob25Z+9auw/vSn/MmTx4yxNWNG\ngwYPLt58EgAAAJ0dgTcAoMtxXenHPw7rrrtywwTT9PSHP8R17rnpoo39iRnTbdH52tBE9eDkxBCd\nnhwmq4iXzAMAWmehr1bTyz5UbRMtp8ale+mC+ChVeIGijf/UU35deWWZYrHcj17du2fbbZ1wQvHa\nbQEAAHRmBN4AgC4llZIuv7xMTzyRG1KEQp7uvrtBp5ySKdrYrwbW6v7IoryJ0SKuTxfHD9b4TFXR\nxgYA7L0GI6N7Iwub7O1d4QZ0YcMoHWL3Ktr4ixebOvfcqJYutXKWG4anH/0oqe99LymTc6QAAAA5\nCLwBAF1Gfb107rlRzZ6d2xu1osLVww8Xb3LKtBw9GFmi2cHqvHWD7XJd2TBGvd1IUcYGAHw6njy9\nFlinByKLlTScvPVfSO6nsxIHKCCriWd/evX10pVXlunpp/OryU86Ka2//CWubt34iAUAALAdgTcA\noEuoqTE0bVpU772XOwlk376uZs6s16hRxemHWmMmdFvZfK321eet+2xqgL4eH1G0kAQAUDgbzLim\nl32oZb5teev6O2W6tGG0BjvlRRnb86Tbbgvq+uvDeZMsDxvmaMaMWNH2YwAAAJ0NgTcAoOStXm1q\n6tSoVqzIDZaHD3c0c2ZMgwYVJySY56/R9MiHipu5leN+z9T58ZE6Nt2/KOMCAIrDkaunQqv0VGil\nXCP3Y43PM3RGYri+mBoks0gTWs6e7dOFF5Zp8+bcPiaRiKdbb23Q1KnFa8sFAADQWRB4AwBK2gcf\nWDrzzKg2bMgNB8aPt/XoozH16lX43ZIjV4+FVuiZ8Kq8dX2csK5sGKtBRaoCBAAU3zJrq+4s+1A1\nViJv3ahMpS5qGKVKL9TEMz+9NWsMnXdeVPPm+fLWXXNNQtdem5RRnLwdAACgUyDwBgCUrNde8+lr\nX4uqvj53t/W5z2V0//0xRaOFH3ObkdJfyj7QQv+WvHWHp6t0QcPBiig/pAAAdC4J2XowslivBtfl\nrStzffpm/CAdkelTlLGTSemHP4zogQeCeevOPTel3/8+LotuWQAAoIsi8AYAlKRZs/y66KIypVK5\nu6ypU9O6444GBfLn/vrUFvu26M9lC7TVTOcsNz1D0xovczeKdJk7AKB9vO3foPsiC9Vg5k98fFyq\nv86Jj1CoSCc6Z8wI6Ac/iCidzt23TJ6c1vTpDQoVp8gcAACgQyPwBgCUnPvuC+h//ieSN7HXJZck\ndcMNCZlmM0/cR548PRf8WH8PL8vr6drdDeiK2FiNcLoXdlAAQIdRayQ1vezDJq/u6e2EdWnDaO3v\ndCvK2O+8Y+mss6Kqrc3duU2cmNEDD8RUUVGUYQEAADosAm8AQMnwPOl3vwvpppvCeet+9rO4vvOd\nVMH7msZl6+6yD/VuoCZv3UGZHrqsYbS6efmXnAMASosrT88FV2tmeLmc3U5+mp6hMxPDdXKRrvRZ\nssTU1Knlqq7ODb0POcTW3/8eU1UVH8EAAEDXQeANACgJjiP9+Mdh3X137vXbpunpllvi+vrX0808\nc999bNXr9rL52tDEpGWTE0N0enKYLBW4nBwA0KGttup0Z9mHWms15K07NtVP58cPkr8I+4Y1awyd\ncUa5lizJbd49bJijxx+PadAgt+BjAgAAdEQE3gCATi+Vki67rEz//GduY+5QyNM99zTo5JMzBR/z\nlcBa3R9ZpIyRGyBEXJ8uiR+scZmqgo8JdBaeJ7m7f7mS40meZ8gwPJUHVfArLoCOIiVHj4aX6sXQ\nmrx1w+1u+nZsbFGu/qmtNfTVr0Y1d25uz/C+fV3NnFmvUaMIvQEAQOkj8AYAdGp1ddK550Y1Z44/\nZ3m3bq4efjimo45yCjpeWo4ejCzW7ODavHWD7XJd1TBWVW5+SxWgo/E8aWvC0IY6QzUxUxvrDW2s\nN1VTb2hDvama+uyyTTFTtrsztN4ZYhs5wbbj7lzeGpbpqUdk51dlxFWPMk+V278vcxtvs8u6R1xV\nlnkK+/f8s4GO4j1/jf4a+VDx3Sa0rHSDujo2ToOd8oKPGYtJ550X1Usv5e8XH3kkpiOPLOx+EQAA\noKMh8AYAdFobNxqaNi2q99/PrWTr18/VP/5R+Eq2jWZct5ct0Gpffd6641MDdE58hAKymngm0DY8\nT6pLGjvC6/wQe/tyUzUxQxmn85VYh/3bQ/JsAL49FB/Yw9UBvR0Nr3I0rJergG/PPwtoC+vMBv0x\n+r42WPGc5QHP1CUNo3V4pnfBx0ynpcsvL9Pjj+de+RQOe7rvvpgmTbKbeSYAAEDnR+ANAOiUVq0y\ndcYZUa1YkRswH3CAo5kzYxo4sLBh9zx/jaY3UaUX8EydFx+pY9P9CzoesCebY4Y+XGfpo3XWjtvF\nGyzF050vxC40y/Q0uHJ7AJ69PaB39rZnmUcrFbS5BiOjO8oW6EN/bd66qYn9NSU5pOCTWbqu9KMf\n5c9t4fN5uuOOuM48s/BzWwAAAHQEBN4AgE5nwQJLX/1qVBs25E76deihth59NKaePQu7q/lPYI1m\nRBZp904NfZyIroqN1UA3WtDxgF2lbGnJhp3B9odrLS1cb2l9XceeENU0PJmGdnxZZrZnt2l4clxD\nDe0UzHcPuzqgt6vhvR2N2CUQH9rLlZ8LNFBEjlw9HF6qF0Kf5K07Kt1HFzSMKvhVQp4n3XxzSL/5\nTX6rrRtvjOvSS1MFHQ8AAKAjIPAGAHQqr77q0znnRFVfn7sr+vznM7rvvpiiBc6enwuu1sORpXnL\nD09X6cKGgxUWfRNQGJ4nVW81GoNtnz5ca+mj9ZaWbjTluMUJh6NBT1VRV73LPVWVu+pT7qqq3FPv\n8uyy3uWuqqKegn4vJ7g2DcnYLdDOXbfnsVO2tCVuqLbB0Ja4uct9Q7UN2e+3xA3V7vJ9bYMhu0j/\nF5bpaWhPV8OrstXghw6yddRQW30qOHRFYb0UWKMHIovlGLmvraF2hb4TO0Q9ijCZ5T33BPWDH4Tl\n7Xbm9nvfS+gnP0ly1QMAACgpBN4AgE7jmWf8uuCCMqV3qww944yUbr89rkCgmSfuA0+engqt1OPh\nFTnLTc/QtMRwfTE1qOCXn6PrsB1pfrWl+dXWjmD7w7WW6pKfvmo77M8NrJsLs6uirsoKn6sVledJ\nsZS0JW6qtiEbhm+JG6qpN7Vik6mlGy0t3Whp7bbCVb8P7enoqGHZ8PuoobaGV7mEg/jUFvpqdVvZ\nAjWYmZzl3d2gro4doqFORcHHfPxxvy67rEyZTO4L+PzzU/rtb+OyuMIBAACUCAJvAECn8NprPk2d\nGs0Luy+9NKlf/Sohs4DdHTx5+kd4mZ4Jrc5Z7vdMXRUbq0PsXoUbDF3Gyk2mXlri08tL/Jqz1Pep\nw+2A5enAPo4O7u/ooL7Z21H9HPUpp0d1LCUtr7G0bKOpJRstLavJVsovr7GUyHy6/5xeUVdHDbV1\nZGMAPnaAQysU7JMNZly3RN/XWqshZ7nfM3VRwygdmelb8DH/8x+fzjsvqoaG3L+DL30prb/+tUHB\nTnYSDAAAoCkE3gCADm/RIlMnn1yubbtVbf7853F9+9upgoZ7rjz9b3hJXo/VgGfq6tg4HWxXFm4w\nlLQtcUNzlmYD7peX+LS6dt9T0f16ODq4XzbQHtUve3//KnpO7y3Xlaq3mlpas70a3NSyxqrwdfvY\nEz0S8HT4oJ0B+BFDbEUJDdFKcdn6S3SB5vs35637cmKoTksOk1ngq4neecfStGlRbdmS+5o/7riM\nHnggpvLygg4HAADQ5gi8AQAd2vr1hk48sVxr1uQme7fc0qBzz00XdCxXnu6NLNSc4Nqc5WHP0jX1\n4zXC6V7Q8VBaUrb031U+vdxYxT1vjZXXL3dPokFvR6CdvbV1UD9X3cIcPhVbfVJaVmNp2cZsq5k3\nV/r0/hprr3uGW6anMf2dHQE4fcCxJ648PRpequdCH+etOzzdWxc3HKxggSezXLzY1NSp5Vq7Njf0\nHjfO1t//HlOvXrxmAQBA50XgDQDosOrrpSlTyjV/fu7EkNddl9A11yQLOpYtV3eVfag3Axtylpe5\nfn0/Nr4o/VTRuXmetHC92VjB7dfrK3yKp1t/iFQZcXXM8GxLjFGNLUkG9qA/dEcST0vvfuzTmyt9\nenOFT/9d7VMstfe/oNH9bZ06OqMpY9M6qC+/YzRtTqBa90UW5U1mOciO6urYOPX0QgUdb80aQ1On\nlmvp0twwfcQIR888U6+ePfnYBgAAOicCbwBAh2Tb0tlnR/Xii/6c5eedl9If/hAvaGCUkas/ly3Q\n3EBNzvJubkDfrz9UA91o4QZDp7a+ztDsxhYls5f6tX4v2mAELE9HDbV1/IiMjh+RDboL2XsexWc7\n0ofrstXf20PwDfV790sc2tPR5DEZnTomrcMH8RpAriXWVv0p+r7qd5vMspsb0Ldjh2i4062g423e\nbGjatKjmzs09sTxunK1//rNeFZzrBQAAnRCBNwCgw/E86eqrI3rggdxGuCeemNaDDzbI52vmifsg\nJUe3RedrwW79UyvdoH5Yf6j6umWFGwyd0spNph59N6BZC/z6aN3evfgO7mfr+BHZkHvCMFuRQJE2\nEu3C86RVm029udKnN1b49NZKn5bWtL71RN8KV6eMTmvymIyO2d+mJzskSTVmQreUva81vljOcr9n\n6oKGUZpQ4MksYzHp3HOjevnl3BPMEyZk9I9/xBSJFHQ4AACAoiPwBgB0OL/7XUg33hjOWTZunK2n\nnqpXtIDF1gnZuiX6nhb5t+Ysr3LC+mHsUFW54WaeiVK3LWHon+/79ch/g3prVetD7n4V7o4K7s+O\nyKh3OYc9Xc2mmKG3Vvr0RmMF+HtrLLmt6OXePezqpIMzOnV0Rp87MMPJkS4uIVt/LftA8wKb8tad\n3zBSn0vvV9DxksnsVVWzZ+eG3ieckNGDD8YU4PUIAAA6EQJvAECH8sgjAV1+eW5V9aBBjp5/vl59\n+hRuF9JgZPT76Dwt99XlLO/nRPSD+kNVWeBeqej4Mo700mKfHnknqGc/9Ctl7/lwpyzg6ej9t7cp\nyWhkH/ozI9emmKFnP/Rr1oKAZi/xKe3s+QUSCXj6/IEZTRmT0YmjMkxa2kW58jQztFzPhFflrfta\nfIS+mBpU0PFiMWnq1HL997+5J/m+/OW07r67QRZXIAAAgE6CwBsA0GHMnu3TmWdGZe8SNHbv7uq5\n5+o1YoRbsHHqjLR+G52rj3e7XHygHdUPYoeqwqOUravwPOmDtZYefiegx+YGVBNruaGyaXgaN9DR\n5xqruI8YbCtQwBY7KG11SemFhX49syCgFxb61dCKSU79lqeJw21NHpPWqaMzquKqgS7ntcA63RP5\nKG8yyzMS+2tKcmhBx9q61dCUKVF9+GHuG9vXv57SrbcWdv4MAACAYiHwBgB0CB99ZOrkkytUX79z\nFxMMenr88ZgmTLALNs4WI6Wby+dqrdWQs3yoXaH/iY1X1PM380yUknXbDM2cG9Cj7wZa1Zf7qKEZ\nTTs8rS+NzahHhEMZfHrJjDR7qV9Pz/fruQ/9qo3vefZKv+Xp1NEZnT8hpYnDbcLHLuQ9f41uK5sv\ne7fQ+0uJoTo9OUzGvn88y7Nxo6FTTy3X8uW5Jd2XXZbUr36V4HUHAAA6PAJvAEC7q642dOKJFVq3\nLjfwueeemL7ylUzBxtlkJvSb6FxttBI5y0dkuuua2DiFRaluKYunpX994Ncj7wT18hLfHvsqD650\nNO3wtKYdltbQXoW7wgDYne1Ib670adaCbOuTtdv2HH4Pr3J07lEpnX14Wj2jHF53BR/4NuvW6PtK\nG7nvRyclB+msxAEFDb3XrDF08skVqq7OfS3+6EcJ/eAHyYKNAwAAUAwE3gCAdlVXJ51ySrk++ig3\nbP7lL+O66qpUwcZZb8b1m/J3VWvm/syDM5X6TuwQBUVz0lLkutIbK3165J2Annw/oFiq5UOY8pCn\nr4xL66zDUjpyqEMlI9qc50nzPrH0zAd+zZof0NKalt+bApanL41N65tHp3XUUKq+S90i3xb9Mfqe\nkoaTs/wLyf309cSBMgsYei9bZuqUU8q1aVNu6H3jjXFdemnh9s8AAACFRuANAGg36bQ0bVpUs2fn\nthG56KKkfv3rwl02vcaM6ebyudpmpnOWj0v30hUNYxQg7C451VsN3fdGUH9/N6BPtrT8+7VMT58/\n0NZZh6d00sEZhelqgw5k8QZTsxYE9Og7AS3bQ/g9oo+j849K6azD0+pO652Stdzapt9F5ylu5rb7\nmpjqp2/FRxU09F6wwNKUKVHV1eWG3rfd1qBzzkk38ywAAID2ReANAGgXniddcUVEjzwSzFl+6qlp\n3Xdfg6wCZdCrrDr9NjpPMTO3NcqR6T66uOFg+bTn1gHoPJbXmLr1PyE9+m5AGaflw5Ux/W1NOzyt\nqePT6lPB4Qk6Ns+TXlvu071vBDVrgb/F13fIl71S4bwJKR0xmCsVStFqq16/jc5VfRvs2956y9LU\nqeWKx3e+kEzT0z33NOjLXy5c2zEAAIBCIfAGALSLG28M6Xe/C+csO+wwW08+Wa9IpDBjLLO26vfR\n9/Kq4I5N9dMFBa6CQ/v6YK2lP74Y0pPv+1vszd2n3NWZh2X7ch/c32n2cUBHVlNv6OH/BnT/m0Gt\n3Nzy2cFR/Wx9c0JaZx6aUkW4xYeik2nu6qXD0lW6rGGM/AUMvV96yaezz44qnd75/ur3e3rooZhO\nOKFwE0sDAAAUAoE3AKDNzZgR0NVXl+UsGzrU0fPP16tXr8LsJhb6avXH6PtKtUGfU7SfN1da+uOL\nYb2wsPk+JCGfp1PHZDTt8JSOP8CWjw42KBGuK81e6tN9bwb17Ad+2W7z72uRgKfTx6V1wTEpHbIf\nJ3tKRXPzU4zN9NRVsbEFbdk1a5Zf3/xmmZxdri4Ihz099li9jjqK1xQAAOg4CLwBAG3q3//OVont\n+oG5Z09Xzz1Xr/33dwsyxnzfJv0pOl8ZI/fnnZIcrK8mhssg7O7UPE96cbFPf3wxpDdWNB90D+3p\n6Mrjk5p6aFoVoTbcQKAdrK8z9NDbQc14c899678wMqPvT0roM0MIKUtBjZnQb6JzVWMlcpYflOmh\nq2OHKCRfM8/ce488EtDll+eesC4v9/TUU/U65BBeTwAAoGMg8AYAtJn58y1NnlyuWGznbiQU8vTk\nk/U64ojCfFBe4NusP0bfk2Pk7m5OSwzTacmhhN2dmONKsxb49ccXQ5pf3XyAc3A/W1d/Iakvj81Q\nzY0ux3Gl/yz26f43gnruo5Zb/Hz2gIx+cGJSE4bRkqKzqzWSurl8rtZZ8ZzlB9jddE39eEUKGHrf\ndVdQP/xhbu+xnj1dzZpVrwMPLMyJawAAgE+DwBsA0CY++cTUiSeWa8OGnT1FDcPT/fc3aPLkwkx6\ntdZs0PUVbyuxWxuTafHhOiU1pCBjoO2lbekfcwO69T8hLatpPsE+YrCt752Q0KSDbCbpAyRVbzX0\n4FtBPfBWUGu3Nd/P+dj9M/r+iUkduz9/O53ZNiOlm6PztMYXy1k+1K7Q/8TGK+o1f0XM3vr970O6\n4YbcpvD9+rl69tl6DRpE6A0AANoXgTcAoOi2bjV00knlWrIkN6y86aa4Lrkk1cyz/j979x0eRdW2\nAfyesr2k0HuTIkUEAUFAqiiIAmIvWF4/7BU7ioKd1469AnaUYn1VwEIREJCOVCkqJaEk28vMnO+P\nYDZDEkiyG5KQ+3dduTZzsnN22GWnPPOc55SOX4phvGdpoSHdo0KtMSDaKCWvQcdWKAa8v8SGl3+2\n45+c4oN1/VrFcefACE5rzmAdUVE0HZj9hwWTfrZh8bbig549msdx9xkR9GnJ71JVFZBimOhegR2q\n39TeSHPjnkBneIU1Ja8jBPDIIw5MmmSuF9W8uY7Zs/3IyOAlHxEREVUcBryJiKhcRaPA+ee7sXCh\nOchy440RPPZYuJi1SkeDgYnu37HRkmNqvzjUEoOjTVLyGnTs5IYlvLPQhtfn27AvUHSgW5IEhnaI\n447+EZzciHVjiUpCCGDhVhUTf7BjwdbiA99dm2i4e1AYA1oz8F0VBaU4nnOvxBY119ReX3fhAf8p\n8KQw6H3nnU5MmWIztffpE8dnnwWgpq6KChEREVGpMOBNRETlxjCA665zYfp088X1sGExvPNOEHLx\nSbslJiDwjnM95tt2m9pPj9bHNaETWbO7CtkfkPDKLza886sd/kjRn5sqC1zQOYZb+0fQug6HzROV\n1a9bVfx3th2/bC4+8N25kYa7B0Uw6MQ4A99VTAQannevwgbLQVN7c82L+/ynwIbUTHCg63nH+Rkz\nzMf5G26I4PHHU3NTm4iIiKi0GPAmIqJyM368Ay++aB7u3L17HDNmBGC3F7NSKX1r24FPnZtNbW3i\n6bg70BkqUhBRp3KnG8CUxVY89q0DOeGiPzO7KnDFqVHc3DeKRpkMdBOlypJtCp6Z48DcDcUHvk9q\noOHuMyIY3C6ekhuVdGzEoOMl92qssew3tXeM18CtgY4pO0bGYsCwYR4sWWJO6X7llSAuuSSWktcg\nIv9pQuUAACAASURBVCIiKg0GvImIqFxMnWrF7be7TG0tW+r47rvU1fZcYcnGi65VEAWOSrV1Bx72\nd4U7RUO2qXz9tl3BPTOcWP1P0WPf3TaBa3tGcP3pUdT28BSCqLws36ngmdl2fL+++H1nu3p5Gd/n\ndGDGd1URh4Hn3Cux3nLA1N4rWg/XhtqmbBRUVpaE/v292LUrEUS3WgW+/tqPLl1YdoqIiIiOLQa8\niYgo5TZvltG3rxfhcOJwUauWgR9+8KNJk9Rk5+5U/HjcswwRKXEh7TRUPOTvivqG6whrUmWQ5Zcw\n/msHPl5mK/LvNVwGbjg9iv/0jCLNwVMHomNl5V8Knp1jxzdriw98d28Wx9MjwujQgIHMqiAMDU96\nlheayPLscFNcGDkhZa+zcqWCIUM8iBQoSVW3roG5c32oV4/7cSIiIjp2GPAmIqKUiseBwYM9+P33\nRMau0ynw1Vd+dOqUmuBIrhTFeM9S7Fci+W2ykDAmcDLaazVS8hpUPjQdeHuhDU9+7yiyTrfLKjBm\nYBije0fhZJI+UYVZuysv4/vL1UV/EWVJ4MruMTxwVhg13Dy9r+xypCge8yxDtmKuq31ZqBUGRRun\n7HU+/9yC0aPdprbOnTV8/bU/ZaXMiIiIiI6GAW8iIkqpp56yY+JEh6nt5ZeDuPTS1NTxjEHH057f\nsUXNNbVfEWqNgdFGKXkNKh8Lt6q4Z4YTf+wperK0806OYfw5ITRI56kCUWWxfreMZ+c4MGuVBUIU\nvgRIdxh44KwIruoRhZqaeRCpnOyRQ3jMsxR+OZ7fJgnghmAHnBqvk7LXeeQRB156yRzdvuSSKF5+\nOcRSOERERHRMMOBNREQps3y5grPO8kDXE4eJoUNjmDIlmJKLXAGBN5zrsMi2x9Q+INIQo8Jtkn8B\nKhe7cyWM+8qJ6SuKzhRtU1fHxBEh9DpBO8ZbRkQltWGPjIe/dmL2H0VPbtm2noanhof5Pa7ktik+\nPOlZjmiBcmCqkDAm0AlttcyUvIauA5dc4sacOeb/K48/HsINN0RT8hpERERER8KANxERpUQwCPTt\n68XWrYkUv9q1DSxc6EONGqnZ9X9p34bpjq2mtnbxTIwJnAwFcjFrUUWJacDr8214ZrYDgWjhUweP\nXeC+M8O4tmcUFmaGElUJP6xX8cAXTvy5r+gv7fCOMUw4J4SGKZqcmFJvjbofz7tXQpcSn5FdKHjA\n3wVNdE9KXiM3V8KgQR5s3pz4fyLLAp99FkC/frwpQkREROWLAW8iIkqJu+924J13zEOYP/nEj0GD\nUnNhu9SyFy+715ja6ulOPOTvCpcoOuOQKs7Pm1TcO9OJzVlFB8UuOiWKR4aGUcfL0wKiqiaqAW/M\ns+GZOUXfzHJYBG4fEMHNfSNwcPdcKS207sabrnWmtjTDiof8XVHLcBSzVuls3ixj4EAv/P7E/5H0\ndANz5vjRvHlqJrAmIiIiKgoD3kRElLQ5c1RceKE5K+yqq6J47rlQSvrfpvjwhGcZYlLiAtllWPCw\nvyvqGM6UvAalxt8HJYz90omvipnorn19DRNHhNC9eWomMCWiirM7V8KEbxz4dLmtyL83ztTx2Llh\nnN0+ztrNldC3th341LnZ1FZHd+JBfxd4RWpmDZ49W8XFF7tN9d9bt9bxww8+eFKTTE5ERERUCAPe\nRESUlAMHJPTq5cWePYmSIs2a6fjlFx/c7hT0L0Uw3rsUOXKi7qciJNwd6IQTU1RvlJIX1YBXfrbj\nubl2hGKFTxPSHAbGcmI7ouPSkm0K7pvlxKq/1SL/3qdlHE8OD6FNXWb1VjYfOzbhO/tOU1szzYv7\n/J1hR9GfZ2m9+KIN48ebb04PGRLD1KlByKxGRkREROWAAW8iIiozIYBrrnHhiy8SmWCyLPDtt350\n65Z8Bm8UOp7wLMN21W9qvyZ4IvrEGiTdP6XGgi0qbv+s+Jq+l3eLYtzZYdR08xSA6HilG8CHv1nx\n6LcO7A8WjmIqssDoXlE8cFYYrqITwqkCGBB4s4jJoDvEa+D2QEeoKZgfQwhg9GgXpk83Z43fdVcY\nDzwQSbp/IiIiosMx4E1ERGX22WdWXHedy9Q2ZkwYY8cmfwFrQOBV1xostWaZ2s+KNMYl4VZJ90/J\n03Tg6R/ysroLDlf/V6dGGiaeF8IpjVm+hKi6yAlJePoHO95eaINuFN4vtKip49VLg+jahPuFykKD\ngefcK7HOcsDUflq0LkaH2kEq+6VfvlAIOPtsD1atMmeNv/deAMOGxZPun4iIiKggBryJiKhM/v47\nr5SJz5fI/urYUcMPP/hhScEkZTPsW/GFY5uprWOsJm4PdoScgotvSs7fByX83wduLNleeMh7ptPA\nQ2eHcXm3GBQOVyeqlv7YI+P+mU7M21L4gCBLArf3j+CeQRFYU1M1g5IUhoYnPcux47ARVUMiTXBR\nuGVKXuPvvyUMGOBFdnbiwOB0Cnz3nR/t2/MGCBEREaUOA95ERFRqhgGMGOHG/PmJQIbdLvDjjz60\naZN8jdZFlj143b3W1NZQd+FBX1c4UlRTlMru6zUW3PqpEzlhczRbkgSu6h7D2MFhZLp4uCeq7oTI\n2188+KUDfx0sXPKofX0Nr18aRNt6rO1dGeRKUTzmWYYsJWxqHxVsgwGxhil5jcWLFQwb5kE8nric\nbNRIxy+/+JGezuMGERERpUZZA97M1yIiqsbeeMNmCnYDwMMPh1MS7N6i5OAd13pTm8ew4PbAyQx2\nV7BIHLh7ugOjJrsLBbvreAzMGB3As+eHGOwmIgCAJAHnnBTHwrt9uLpHtNDf1+5S0f95L1760Qad\nMe8KlyZsuCvQCV7DXGv7Q+dGbFFyUvIa3bvrmDgxZGr76y8FY8Y4IXjoICIiogrGDG8iomrqjz9k\n9O/vRTSaOBT06RPH9OkByEneDt0nhzHesxQ+OZbfpgoJ9/lPQUs9PbnOKSkb98q49n0X1u0ufNNh\nYJs4Xrk4iFoeHuKJqHhzNqi47VMXdvsKHyxObarh1UuCaFaTke+Ktk3x4SnPckSkRJmRdMOGCb5u\nSBOpmXH0nnscePttu6nttdeCuOiiWDFrEBEREZUcS5oQEVGJxWLAGWd4sGZNIuiZlmZgwQIfGjRI\nbvcehobHPcvwlxowtY8OtkPPWL2k+qayEwL48Dcr7pvlRChmPvyrssC4s8O48fRo0jc7iKh6OBiS\ncM8MJ6avsBb6m8sqMOGcEK7qEYPEqRoq1DJLFia5V5va2sTTcU+gM5QUDPaNxYBBgzxYvTpxPuF2\nCyxY4EPjxrzpQURERMlhSRMiIiqxp5+2m4LdAPDMM6Gkg90CAm+61hUKdp8TbspgdwXyRYDRH7pw\n6zRXoWB30xo6vrvFj5v7MthNRCWX4RR46/Ig3h0VQIbTHNgMxiSMme7ChW+7sSuXEe+K1CVeG2dH\nmpjaNlhyMM2xJSX9W63AG28EYbcnzh8CAQnXX++EzvkriYiIqILw0paIqJpZvFjBiy+ahx+PGBHD\nyJHxpPueb92N363ZprYusVo4L9Ii6b6pbH7fqaDvc94iszBHdorh5zt96NyYUQkiKpvhHfNqew86\nsXAJi7kbLOj1Xy+mr7AUsSYdKyPDLdA2nmFq+86+E0sse1PSf+vWBiZMME+QuXixBS+8YC9mDSIi\nIqLyxZImRETViN8P9OnjxfbtSn5bvXp5pUwyMpLbrR+QIhjrXYyQrOW3NdE8GOvvAhuUI6xJ5cEw\ngFd+seHRbx3QDPPh3mkVeHpECJd2ZbkBIkoNIYAPfrNi7BdOBKKFdyzDO8bwzEhOhltRfFIMD3uX\n4ICcmHTUJhQ87OuKBoY76f6FAC66yI05cxI3N1RV4Lvv/OjcmTdViYiIqGxY0oSIiI7qwQedpmA3\nALz8cjDpYLeAwHuuP0zBbquQcVOwA4PdFSDbL+Gid9x4+GtnoWB3u3oa5t7uw2XdGOwmotSRJOCK\nU2OYP8aH05oXHjE0a5UVpz/rxfKdPCZUBK+w4ubASVBFYscflXS85F6NMLQjrFkykgRMmhREjRqJ\n8jaaJuH6610IBpPunoiIiKhUGPAmIqomvvvOgvfft5na/u//IujXL/kL3QXW3Vht2W9quyB8AuoY\nzqT7ptL5ZZOK05/1Yu6GwiUEru0Zwezb/GhdhxOJEVH5aFLDwJc3BPDouSHYVPPN1F25Ms5+2YP3\nlxQusUTlr4WehstDrU1te5QQ3nKtg0Dymfd16ghMmhQytW3ZouDBB3kuQERERMcWA95ERNVAdraE\n224zX3C2bKnj4YfDxaxRcgekCD5ybDK1tYqnY2C0UdJ9U8lpOvDYt3ac96Ybe/3mw3u6w8DUqwKY\neF4YdpbSJaJyJsvATX2i+OkOHzo2NN9UjekSbpvmwp2fOxFN/n4rlVLfWAP0jponkV5uzca3th0p\n6f+ss+K46qqoqW3KFBv+9z8efIiIiOjYYcCbiOg4JwRwxx1OZGcndvmqKvD660E4k0y6EhCYXEQp\nk2tDbSGXfZoIKqVgFLj8PReem+uAEOb3/dSmGuaN8WFoh+QnJSUiKo02dQ38cKsfN/WJFPrb5EU2\nnPOqB7tyeaw4liRIGBVqgyaax9T+mWML1qkHUvIajz4awgknmOt233qrE3v38rMmIiKiY4MBbyKi\n49xHH1nx7bfm4eN33RVBp07JTyK10Lobq1jKpELtD0gY/roHP/xh/owlSWDMwDC+utGPhknWaCci\nKiuLAjx6bhhvXR6A02reFy3boaL/814s+lOtoK2rnqxQcEvwJLiMRNa1kIDXXGuwXyp8c6K0XC7g\njTeCUAuUtNm/X8bNN7sgeDgiIiKiY4ABbyKi49iOHTLuv98cfO7cWcOddyZ/QXtAiuBDljKpUDv2\nyzhrkgfLd5qDRXW9BmZdH8DYwRGonB+OiCqBkZ3i+P4WP5rWMN9szfLLGPaaG2/OtzEYegzVMhy4\nIdgeUoH33C/HMcm9GjEkf0O8Uycd991nPteYO9eCd96xFbMGERERUeow4E1EdJzSdeCGG5wIBBJD\niJ3OvFImapLJdAICk50bCpUy+Q9LmRwzq/9WcOYkD7buM0e029XTMPd2H3qfwOK4RFS5tKuv48fb\n/RjYxlxiSTMk3DfLiRs/diLM6kvHTAetBkZEmpvatqk+fOjcVMwapXPbbRF0727+QMeNc2DDBl6C\nEhERUfkqc1TiwIEDzMEgIqrE3n/fittuc5nannkmiGuuiSXd9wLrLrzlWm9quzTUCmdGGyfdNx3d\nTxtVXDnFjUDUfBjvfUIc718VgNdRQRtGlZomgH2GhGxDRrYhIWBI0ADokKALHPod0EVem5b/+6Hl\nQ7/LALyyQJokTI9eSSDt0KPK+150BLoBPPW9Hc/OKbyzOqmBhqlXBdE406iALat+DAi86FqFldZ9\npvb/BE/E6bEGSfe/c6eM3r298PsTO4UOHTT88IMfNiZ7ExER0VFkZmaW6cqCAW8iouNQOAx06ZKG\n3bsTWVQDBsQxbVoAUpKBqINSFA94F5myu1tqaXjA34XZ3cfAZ8utuOkTJzTD/F6fd3IMr1wShI2l\ncKuVuAD2GhKy9bwg9r/B7CxDzm/LOtR2wJAgjtF31CXlBb7/DYR7ZYFasoEmioGmioEmqo5mioHa\nskh6n0RV1zdrLLjhY1ehm3eZTgNvXxFE31YcqXIsBKU4HvH8hiwlnN9mETIe8XVDQ8OddP/Tpllx\n/fXmG/C33BLB+PHhYtYgIiIiysOANxER5XvpJRseeSRRu9tmE1i6NBcNGya36xYQeN61CqsKZIJZ\nhIzHfKeiruE6wpqULCGAST/b8MjXhScEvbFPBBOGhiFzlPhxKyaArZqMDZqS+Ikr+FOXoVfhG00O\nCDRRDTRVdDRV84LhTRUdTRQDTVQD9qr7T6MS2rRXxhWT3dicZS7PJEsC44aEcUu/KG+KHAM7FT8e\n9SxFTEpk1jfRPBjn7wo1ySqYQgDXXuvCzJmJyZUlSeCrrwI47TTe1CAiIqLiMeBNREQAgJwcCZ06\neZGbm7hAvfnmCCZMSD6TaqF1N950rTO1XRJqibOiTZLum4pnGMDYLx14Y7690N8ePTeEm/pEK2Cr\nqDzEBbBFk7GxYGBbU/CnJkOrwoHtsqonG2hr0dHJoqHzocc6Ck9Bjze+CHDzJy58vcZa6G+XdYvi\n+fNDnID3GCjqGD883AwjIi2S7jsnR0Lv3l7880/i3KRVKx3z5vlgLfyxExEREQFgwJuIiA555BEH\nXnopERj1eg2sWOFDRkZyu22WMqkYkThw48cuzFpljghYFIFXLwliZCfO8FZVCQFs0GT8GrNgUUzF\nOk3B1nIObGdIBmopArVlA2mHam0rAFRJQEHe74oEqBAFfgcUCCiHnqsD8BkScoVkevQJCbmGBL8o\n39Ip9WUDnS0aOlnzAuCdLDrSZJ6WVnWGAbzwox2Pf2eHEOb/P4PbxfD2FUE4LBW0cdXIK641+M26\nN39ZFhLG+buime5Nuu/581UMG+YxtY0bF8Ltt/OmLRERERWNAW8iIsI//0jo2jUNkUhi956Ki0kB\ngRcOm9SKpUzKX25YwuXvubBwqznK47YJfHB1AKe35FDwqsQ4FOBeGLNgYUzFrzEV+4zk69DUkg3U\nlg3UkgVqK3mPteTEY20l77GmLGA5BvemDAEEBODLD4jLyDUk7NYlbNcVbNNl7NBkbNMVBERqNqiF\ncij4fSgI3tGiw8H7cFXSnA0qRn/gQk7Y/N3o3iyOj64JIt3JS5DyFJBieMC7GLlyYoLr+roL433d\nYEXyafa33urEBx8kZqt0OAQWL/ahUSNOUkpERESFMeBNRESFLiTr1TOwdGkunIXLPpcKS5kce7ty\nJVz4lhvrd5tnoazrNTDt/wJoX1+voC2jkvo3wL0gZsGCmIpFMRX7kwhw15cNtFZ1tLHoaKPm/bRW\ndXiraO12IYCDQsJ2Tc4LgusKtmsyduh5y//ocpkzxe0QOM2mYYAtjgG2OFoqButAVyFbsmWMfMON\nvw6aA6wn1tXx2Wg/6qfxMqQ8rbRk43n3KlPbWZHGuCTcKum+9++X0K2bFwcPJnZcgwfH8OGHwaT7\nJiIiouMPA95ERNXchg0yevXywjASu/bnnw/iyitjR1jr6HIOlTIJFihlcoKWhrEsZVJuNuyRccFb\nHvyTY45ktqyl47PRATTOZCZcZSQE8IcmY37MgoXRvAzuA6L00eh6spEX0LbkBbT/DW5X1cB2Wf07\nUeeKuIoVcQUr4irWxhXEyrDfaaToGGDTMNAWR29rHJ5q9l5WRbtzJVxQxE2/Rhk6Ph8dQMva3A+W\np3ec6zHPtit/WRLA/YFT0FrLSLrv99+34rbbzKPDPvwwgMGDWaKLiIiIzBjwJiKq5q64woVvvknU\neW7ZUsfChT6o6hFWOoriSpk86jsV9VjKpFws/lPBpe+6Cw3n79pEw8f/CSDTxcNvZSIEsF5TMCti\nwaywFVv10g35d0sCPawaelrj6GbVcKJqsB71EcQEsC6uYEVcwe9xFSviKjZqMoxSnNKqEOhu/Tf7\nW0M7VWf2dyWVG5ZwyTsuLN5mLutUw2Xg02sD6NyYI13KSxgaxnoXY78SyW+rpTvwmO9U2JHEiQXy\n6rUPHuzB0qWJfho10vHrrz64eGpBREREBTDgTURUjS1ZomDwYPOEUlOmBHDOOcllS/1q3Y03Ditl\ncnGoJQazlEm5+G6dBddMdSGiFZ6w7a3Lg3Bai1mRjql/M7lnRqz4MmzF5lIEuT2SQA9rHD2tGnpZ\nNXSw6FAZbE1K0ABWayp+jylYGVexJK7g71J8JnVlA/1scZxjj6O/LQ4rP49KJRwHrn3fhf+tM+8A\nXVaBKVcF0L815zIoL+vVA3ja87uprV+0Aa4KnZh03+vWKejb1wNdT3zh7rgjjIceihxhLSIiIqpu\nGPAmIqqmhACGDnVj0aJEBtwpp2j44Qd/UlmLLGVybM3fouKCN92I6eb39qoeUUwcEYKa/FxhlKQ/\n4jJmRayYVYogt1cyDmVwa+hl09BB1aHw61OuhAA26zLmRi2YG80rLxMt4T4rQzIwwhHDBY4YulmY\n+V1ZaDpwx+dOfPibzdSuygKvXhLE+Z1ZCqO8fODYiNn2v0xtd/k7oYNWI+m+x4514LXX7PnLFovA\nvHk+tG7NcjVERESUhwFvIqJq6vvvLbjkErep7auv/OjZs+xZbwICL7pWYQVLmRwTq/5WcM6rHgSi\n5sPy/WeFcdfACINuFWjDoSD3FxErNmpHD3JbINDHpqGPNY5eNg3tGeCucCEB/BpVMSdqwY9RC7aU\n8GZFE0XH+YeC361UBuAqmhDA4/+z47m5jkJ/e2JYCNefHq2ArTr+RaHjIe8S7FVC+W0Zhg2P+7rD\nJSxHWPPo/H6ge/c07N6dKOHVq1ccX3wR4HGPiIiIADDgTURULek60Lu3Fxs2JAI4Z5wRx6efBpLq\nt6hSJheFWmIIS5mk3JZsGUNe9mBfwFyz+7nzg7iqR3ITjlLZ7DckvB+yYlrYhg0lDHL3s8UxzB7H\nEHucNbgrue2ajB+jKuZGLZgXsyAojn46fLJFw/n2GM5zxFBX4edbkd6Yb8P9s5yF2u8YEMaDg3mD\nsDxsUXLwmGcZCn5VTovWxXWh9kn3PWuWBddcY75p//rrQVx4IY9/RERExIA3EVG19PHHVtx0UyLj\nWpIE5s3zo127sk/kVVQpkxZaGh5kKZOU25UrYfAkD/46aA6qPjI0hFv7MVvxWFsdV/Bm0IbpYetR\nS2CoEOhr0zDcHsMQexzpDHJXSTEBLI6p+CJixcywBTlCPuLzZQicbtVwoSOGofYY3Ed+OpWT6b9b\ncOMnLsSLKAH17MgQg97lYJp9C75xbDe13RI4CV3itZPqVwjgggvc+PHHRLZ4rVoGfvvNh7Q07leJ\niIiqOwa8iYiqmUgE6No1Df/8k4i4XHRRFK+9FjrCWkf3hnMtfrXtyV+2CBkTfKeiPkuZpNTBkIQh\nL3uwca852H1L3wjGnxOuoK2qfuIC+CZiwZtBGxbHjzw8Xz1UrmSYPYaz7XFkMMh9XIkJYG7Ugmlh\nK76LWI5608MjCVzujGK0M4omLHlyzP24UcWVk90Ixsyf0+jeETw5LMygd4rFYeARz2/4W02MIPMY\nFjzh6wGvSG5G5T//lNGzpxfRAmW9/vOfCP77Xx4LiYiIqjsGvImIqplXXrHhoYcSw7qtVoHffvOh\nceOyB17+lgN40LvYNGz5otAJGBJtmsSW0uGCUWDEGx4s26Ga2i/tGsWki5ideCzs0yVMDdvwbtCG\nXUbxabrKoYze4Y68IHcmg9zVgs8AvopY8VnYivkxFeIIp8wyBAbb4rjeFcVpVo3f32No+U4FF7/t\nxv6g+Tt8W78Ixp3NoHeq7VD8GO/5DbqU2A92idXCzcGTICU5Auzpp+14+ulEfXZJEpgzx49Onco+\nYo2IiIiqPga8iYiqEZ8P6NQpDQcPJi7yr78+gieeSC4bapJrNZZZs/KXG+ouPOrrzlImKRTTgMve\nc2PuBnM28ZB2MUy+Mgi1ZPPpURmVtGxJY0XHf5xRXOKIoSZrNldru3QJ08NWfB62Yo2mHvG5HVQN\n17miOM8Rg527zWNi014Z57zqQfZh8yDcOyiMe8+MVNBWHb++sP+JGY4/TW2pKG0SiQC9ennx55+J\ng+DJJ2uYPdsPhcdFIiKiaqusAW9WHiQiqoJeesluCna73QJjxiR3Yb9d8ZmC3QBwXrgFg90pZBjA\nTZ+4CgW7e7aI460rGOwuL3EBzApbMGSfG333efFR2FZssLuPNY4PMgJYXsuHW9xRBrsJ9RWBW9xR\n/FLLj4U1c3G7K4xactEjadZoKm7OdaFjVhqe8tuxV+f+s7y1qmNg5vV+ZDjNn8nTPzjw0o+2Ctqq\n49fQSFM007ymto8dmxBDcpnYdjswcaK5JNvKlSomT+ZnSERERKXHgDcRURWze7eE116zm9puvTWC\nGjWSC8zNcGw1LTfTvOgcr5VUn5QgBHD/LAemrzDXOu1QX8OHVwfgOHL5aCoDTQDvh6zonJWGa3Lc\nxdbodkDgKmcUC2rmYmaNAIbY41AYp6QinGgxMM4bwarauXg5LYgOqlbk87INGRMDDpyUlYYbc5xY\nFefdrPLUtp6B6aMD8NrNQe9HvnHijfkMmKaSAhnXBttCLlD7bJ8SwTf2HUn33b+/hmHDYqa2Rx+1\n4+BB7pCJiIiodBjwJiKqYiZOdCAcTlz81a5t4IYbksvu3qzkYJVlv6ltZLhF0jU5KeG/s+14a6H5\nRkXzmjo+Gx2A11HMSlQmQgBfhC3ome3Fbbku/FNMje7Gio4JnhDW1cnFc2khtLVw4kEqGbsEXOqM\n4eeafnyV6cfZthgkFL7pGIeET8I29NvnxUUH3Ax8l6OTG+mY9n8BuKzmz+H+WU5MXpTcpIpk1tBw\nY2C0oantG/t2ZMvJTzL5+OMhuN2Jz9Dnk/HSS/YjrEFERERUGAPeRERVyObNMj74wHzhfs89Ybhc\nyfU7/bDs7lbxdLTXMpPrlPK9+6sVT31vjmrX9eZlJNb2sGRGKv0cVTFwvwdX57ixWS86uFiwbMnN\n7ijSOREllZEkAT1tGt7PDGJ5LR9ucEXgkYr+/zQ7akG/fV5cedCFDXGegpeHbk11fHJtAA6L+TMY\nM92JT5cx6J1KI8It4DUS72lcMvCRY1PS/davL3DnnebA+Ztv2rBnD2/AExERUcnxbJuIqAp57DEH\n9AI1YZs313HFFbEjrHF069UD+MNy0NQ2MsLs7lSZscKCu2c4TW1pDgOfj/ajSQ1mFKfK8piC4fvd\nOO+AByvihScWtEHgSpYtoXLUVDXwuDeMtbVz8JQ3hGZK0TWNv4pY0XOfF9fnOLFN46l4qvVsoeH9\nqwOwFqi/L4SEmz5xYtYq1o5KFSdUXBg+wdT2uzUba9T9xaxRcqNHR1GnTuL4GA5LeOYZZnkTJCLp\nhAAAIABJREFUERFRyfEsm4ioili2TMFXX5kz1MaODcOSxPW7gCiU3d0unok2WkbZO6V8P25UccPH\nLogCtU4dFoFP/hNA23oMdqfChriMUQdcOGO/F/Nihb8MMgQuc0SxtHYunmfZEjoGPDIw2hXF0lo+\nfJwRwKmWwnW+BSRMC9vQLduL23Oc+JuTW6ZU/9YaJl8ZhFpg9IYhJIz+wIX/rWXQO1V6xuqhhZZm\navvAuREaktvPOp3AXXeZS7VNnWrDtm28dCUiIqKS4VkDEVEVIAQwYYK5JEanThqGDYsn1e8qdT+2\nqLmmtpHhFkn1SXmW7VAwarIb8QKBLFUWmHxlAKc2Kzrzk0ruL03GTTlO9NrnxdfRoksVnGOPYWFN\nHyalh9BQYdkSOrZkCTjTHse3NfyYluHHyUUEvnVImBq2oUtWGu7PdSCLge+UOatdHG9dHoRcoMSM\nZki4eqoLczcUHgVCpSdDwhWh1ihYxWePEsIPtp1J933FFVE0bZo4VmqahCefZJY3ERERlQwD3kRE\nVcDcuSoWLDBnpY0bF4acxF7cgMCMw7K7T47VRAs9rZg1qKS2ZMu46G03QjFz8OqVi0M448TCQS8q\nuX26hAd8DnTN9uLjsA1GEaV3+ljjmFPDhykZQbRmRjdVMEkCBto1zK3hx9SMANqohW94xSDhjZAd\nnbPTMMFnh4//bVNiWMc4Xr0kBKlARDamS7hyihur/uYEoqnQTPfi9FgDU9sXjm04KEWT6tdqBe6/\n35zlPX26FevW8XMjIiKio2PAm4iokjMMYPx4c3Z3v35x9OmTXOB0uSULO1S/qW1khNndyQrHgaun\nuHAwZD7EPjk8hAtOSa7eenUmBPBxyIpu2V68HrQjVkSgu7NFw8xMP2bWCKCzlVn0VLlIEjDUHsf8\nmj68kR4sssZ3SEh4IejAqdlp+DxsgeDAhKRdeEoMz58fMrWFYhIufceNXbnMqE+FC8It4DISWfMR\nScenjs1J9ztyZAxt2ybOdYSQ8NhjzPImIiKio2PAm4ioksvLaDIPv3744XBSfeZld/9pausWq4PG\nuiepfgm4f5YT63abP68xA8O4rndy2W7V2Q5NxsgDbtyU60KOKHzq0lLRMSU9gNk1/OhjYwY9VW6K\nBFzgiGFxLR9eSAuigVw4nXuvIWN0jhvDD7ixIc7T9WSN6h7Dk8PNQe/dPhmXvuNGkLvmpHmEFecd\ndsN8kW0PNqoHi1mjZGQZePBBc5b3999bsXgxs7yJiIjoyHgGTURUyb3+us20PHJkDCedlFz26iLr\nHuxSgvnLkgBGhJsn1ScBny23Yupi8+d13skxPHBWpJg16Eh0AbwSsKHnPi9+LmJCygaygUlpQSys\n5cM5jjgkJmtSFWKRgFHOGJbVzsVT3hBqFxH4nh+z4PR9XjzscyDAMidJua53FNefbt4Xr/5HxfUf\nuWDwvU1av2gDNNbcprb3HRuhJzmB5ZlnxtG1q/lG5mOPOTj6gYiIiI6IAW8iokps1SoFK1YksoUl\nSeD++5PL7tZgYJbdnN3dM1YP9Q1XUv1Wd5uzZNz5udPU1qKmjucvCDIQWwbr4grO3O/BQ34nQsL8\nBtoh8LAnhKW1c3GZMwaV7y9VYTYJGO2KYnmtXIxxh2GFOZKnQcKkoB3ds9PwBcucJOXRc8I4s625\ntNQ3a60Y/42jmDWopBTIuCLUxtT2lxrAT7Z/kupXkvLmLCno118tmDuXE48SERFR8RjwJiKqxKZM\nMWcL9++voXnz5LKlFlh3I0tJXDwqQsKwSLOk+qzuQjHg6qkuBAtMUmlTBd67MggPy42WSkQAj/vt\n6LfPg9/jhQMava1xLKjlw23uKOwMdNNxxCUDYz0RLKjlQz9rvNDfdxkyrs5x4/wDbmzReApfFooM\nvHlZEO3rmzOGJ/1sx9TF1graquNHKz0dPaJ1TW3T7Vvhk5Kbv6JnTw39+5u/E4895mBmPhERERWL\nZ8tERJVUIAB8/rn5AvzKK5MrNhqDji8Oq919eqw+ahvOYtagkrh/lhPrD6vb/eTwENrX58SJpbEo\npqJPthfPBhzQDpuUMk0y8FJaELMyA2iuMspBx68TVAOfZwYwOT2A+kWUOfkpZkGvbC8e99sRZrZ3\nqXnswEfXBFDXa35v75ruxLzNzBpO1kXhlrCLRI3tkKxhhmNr0v0+9JA5y3v1ahVffFG41BURERER\nwIA3EVGlNX26FYFAIuhXp46BM88snPVXGr/Y/sEBORE0twgZ54aZ3Z2MacuteH+JORP//E5RXNk9\nuYy26sRnAGNynTh7vweb9cKTkZ1jj2FRLR8ud8ZYHoaqBUkCznXEsbhWLm51RaAeVuYkBgnPBhzo\nm+3Fihgn8CuthhkCH14TgMOSeF81Q8KVU1zYnMXLo2RkCBuGHXZeMc+6C1lyqJg1SqZjRx3DhpmP\nq0884UA8udMiIiIiOk7xjI6IqJKaOtUcRL388igsSSQzRaHjK/t2U1u/aANkCtbcKKtNe2WMOaxu\n9wm1dDx7foiB2RKaHVHRIzsN74Vshf5WVzYwNSOAKRlB1FWYykrVj1sGHvGGMb+mD72LKHOyWc+r\ndf9fvx0avyKl0qmRjtcvDZracsMyLn7bjQNB7sCTMSjaGLX1RF10XRL4wr4t6X4feCAMpcCxYOtW\nBR99xFI0REREVBgD3kRElVBRk1VecUVyGcNzbH8hV070YRUyhkaaJtVndZZXt9ttqtttVwXeG8W6\n3SWhCWCCz46LDnqw2yh8OnKlM4pFtXwYamf6HlFri4FZmQG8lR5A3cPKnGiQ8GTAgcH7PdjK2t6l\ncs5JcYwbYs483rZfwRWTXYhqxaxER6VCxvBIc1PbQutu7JaDxaxRMi1bGrj0UvO50H//60CMA6qI\niIjoMDwrJiKqhIqarLJx47LXLQ5Dwzf2Haa2QZHGSBOFs2qpZO6b6cQfe8ylBJ4cEUI71u0+qixd\nwsgDbrwQdBT6WwtFx1eZfjyfFkKazJRVon9JEjDyUJmTUY7C8zksj6vos8+LyUErBL86JXZb/ygu\n7Wp+Pxf9acGdnzn5PiahR6wu6umJEVBCAmYdNodIWdxzTxg2W+KD2bVLxsyZzPImIiIiMwa8iYgq\nmfKYrPI7+04E5USmrEMoGBxtklSf1dmny6z44DfzzYILOkcx6lSmmR3N4piCvvu8mB8z1+dRIHC7\nK4x5tXzoaWNqJVFxvDLwQnoIH2UEUOuwbO+QkHCnz4WLD7qxV2dZjpKQJOC580Po2cI8muTjZTZM\nXcJAalnJkDAi3MLUtsSyF3/LgaT6bdBAYNQo8znRpEk23pwgIiIiEwa8iYgqmVRPVhmQYvj+sOzu\nsyJN4BZJFASvxjbulTFmurlud0vW7T4qIYBXAjacs9+DPYeVMKkrG/iqhh/jvBE4+B4SlchZ9jgW\n1PRhsK3wjbbZUQt6ZnvxdYT7+ZKwqsCUK4NoUdM8Quf+mU6s28VJQcuqa7w2Gmnu/GUhATNTkOV9\n/fVRyAVGAK1fr+Knn9QjrEFERETVDQPeRESVTKonq/zWthNhKXER7zYsODPSuOwdVmP/1u0OHVa3\n+91RQbhZHaZYPgO4KseFh/xO6DBHtHtb4/i5pg/drSwFQ1RatRSBDzKCeCktCLdkTnE9IGSMOujG\nzTlOhJj9elSZLoEPrwnAZU28WRFNwjVTXQgkN8iq2pIhYcRhtbyXWbOwQ/El1W+zZgaGDjUnArz8\nMifPICIiogQGvImIKpFUT1aZK0Ux277T1HZ2pAkcYCZUWdw704kNh9Xtfop1u49ofVzGgH1efBUp\nXBrgdlcY0zMDqK0wGkdUVpIEXO6MYV5NH061FC4H9FHYhrP2ebCdE1oeVas6Bp493zyJ5eZsBXdN\nZz3vsuocr4WmmsfUNsOefJb3zTdHTMs//2zB2rXMxiciIqI8jHgQEVUiqZ6s8mfbP4hJifXTDCsG\nRBuVub/q7JNlVnx4WN3uC0+J4grW7S7WpyEr7sx1InxYVrdXMvBaegiD7WUv1UNlIGKQxR5I2AVZ\n/HPo9yAkEQYQhoRQMb+HAUgQsAOwQUiHHvOXC/7uhYG6EFJdGId+BGoCEgNR5a2pauDrGn5MCtrw\npN+BeIHv3VpNRf99HryVEcQA1sg/ogtPiWH+FtW0v5+23IZeLTRczv19qUmQcF64BZ7zrMxvW2nd\nh62RXLTQ08rcb5cuOrp3j2Px4sQQuFdeseG110JHWIuIiIiqizJXyjxw4ADzHIiIUsjvB9q1SzfV\n7546NVBo2G5JGRC427sQ+5REFtSloVY4M8pyJqW1OUtGv+e9plImLWvpmHuHj6VMihARwAM+JyaH\nCr85HVQNkzOCaKaW/UYOFUNEoYiNkMUmyGJX/o+h/QXZ2AWLsg+SdOxP34RQYEi1IKR6eQFwqS50\nqREMqQ10qQ0MqTEgMfs4lVbHFYzOcWGTZr7RIEHgQU8Et7sinHPgCEIxYOCLXtOIHodFYM7tPpxY\nl/uu0hIQeMyzDFvU3Py29vFM3B3onFS/335rweWXJ2qEq6rAihW5aNCAl6lERETHi8zMzDKdtTLg\nTURUSUyZYsUdd7jyl+vUMbB6dW6Z63evUw9gouf3/GWLkPFibm+4OFllqQgBDHvNjQVbE++bXc0L\nfLStx8DH4bJ0CZcedOP3eOFBZJc7ong6LcSJKVNAEtlQjLVQxFooxjpI2mqo0hbIUtXL3jWEA4bc\nBrqcFwDXpTbQ5RMh0ACMypZdwABuznXhyyLKCQ21x/BKWhAe3mco1oY9Mga+aL7R2aqOjrm3+eDi\njc5SO/ycBAAe8J+C1lpGmfs0DKB7dy+2bEncmLjllgjGjw+XuU8iIiKqXMoa8OZpLhFRJZHqySrn\n2f4xLXeJ1Wawuwymr7CYgt1AXt1uBrsL26HJGLLfUyjYbYfAS2lBvJTOYHdZSCIHFv1rOOLj4Ype\nAFegDdKjreGJj4RTexg2Yxqs8oYqGewGAFkKQxUrYNM/hlN7GJ74RUiPnoT0aFO4Y+fCHn8Cqv4z\nIAIVvalVilsG3ksP4mFPCDLMeSpfR6w4Y78Xm1nXu1ht6hr473nm8hib9iq4Z6azgraoamurZaBN\nPN3UNsO+FQJlz6GSZeDGG821vCdPtsGX3JyYREREdBxghjcRUSWwapWCfv28+cuSJPD77z40aVK2\noGpQiuO2tPmIF6jffa+/M9pqmUlva3XiCwOnPp2Gvf5EUKhvqzimjw4w8fQw6+Myzj/gwR7DHEBr\nquiYkhFEBwsn9iwxEYZqLIbFmAfEfoZNXp2SUiSGAezNduPv3d78n5xcO0JhyxF/whEVkgTYbRrs\ndi3vseDPoTaHPY4aGWHUq+1H/bp+1K+T95OZETn6xpWAEAp0uSM0uTs0uQc0uTuEVCMlfR/vfoqq\nuPagCweF+fvpkQReTw+ynv4R3PSxEx8vM9+QfuXiIC7pynrepbVRPYgnPMtNbff4O6NdEucm4TDQ\nsWMa9u1L/N9+9NEQbropWuY+iYiIqPIoa4Y3J60kIqoEDp+ssl8/rczBbgD41brHFOyupTvQJolh\nw9XVk987TMFuqyIw8bwQg92HWRJTcPEBN3IPC6b1s8bxbkYQaTLvkR+R0KCIFbAY86CHf4RdXgZV\nORSALOVcjzv+TsPqP+rgzx0Z+Hu3F3/t8iJrXwaEXB866sLjcSMjw47MTDsyMuzIqG9H40PLmZl2\neDxWyLIE6dB/cklCod8lCdA0A7m5UeTkRJGbG83/PScngp0bo8j9La9tz54g9uzeB6u6D/UOBcAb\n1vOhdYv9aNc6C+1bZ5U4IC5JOlTxO1T9d0B/FQCgS62hyachJp8JTT4dkOyle8OqiX42DT/W9GPU\nQRfWaInTf7+QcNlBN+5xh3Gvm3W9izLxvBCW/6Vi097El/HuGU50aqShDet5l0prLQPt45lYazmQ\n3zbTsRXt/GUPeDscwLXXRvHUU478ttdft2P06ORGyREREVHVxgxvIqIKlurJKgFgnGcJdqj+/OXz\nws0xLNI8qe2sbtb8o6Df8x4YIvG5jBkYxtjBqclWPV7Mjqi46qAb4cNOKc6zx/BqehBWBtCKJkKw\nGD/Aos2ErP0Ei1K6ch2RiIJ1m2pj1fo6WLWuLtZtqoecQCvUqlMfzZuno0WL9PzH+vXdkOWK/SB8\nvih27vRh27ZcbN/uw/btudi+PRc7duQgFtmN1i32oH3rLLRrnX3oMQteT+kyaAVciMv9EFfORlwe\nBCHxJt/hQgK4M9eJaeHCRagvdUTxfFoIFn5nC/ljj4yBL3gRjifenBPr6vjxDh9sTB8qla1KLiZ4\nl5raxvm6ooWeVuY+9++X0KFDGiKRxOfz5psBnH8+Ry4QERFVdZy0koioikr1ZJU7FB/GeX/LX5YE\n8FxuL2QKZj6WlGEAg1/2YOmORCSjcaaOX+/2wVl4/rdq67OwFTflOKEddjpxrTOCp7xhVHCMtfIR\nUViMnyBFP4fV+B8sasknVlu9vjZ+XNgMS1c2wLa/GsFboz06dWqITp3qoFWrDDRs6IGiVM16zPG4\njk2bDmLFir1YuTILK1dmYe3aLDSstx+9uu1E71N34PRTd6BViwNH7+wQIRRoSg/E5SGIy0NgyI3L\n8V9QtQgBvBWyYazPAf2w7+4ZtjjeTQ/AVTX/K5WrD5ZYces0l6ntzgFhPDiEN0FL67/u301Z3qfG\n6uDGYIek+rzrLgfefTdxnnPSSRp++snPUQtERERVHAPeRERV1IABHqxYkQisjhkTxtixZb+AnurY\ngLn2v/OXT4rXwJhAp6S2sbopKrDx0TUBnNWO2WL/ej1owwO+wpO33esO4x6WRkgQGlRjARCeBovx\nNezWkmVyb9uZjjnzm+OnX5tj974uaN6yJbp0qYsuXeqiRYv0/DIjx6tYTMcff+zPD4CvXLkX2Xu3\noccpO9D71J04vfsOdGy7B3IJA7Oa1A4x5XzElIsgpLrlu/FVxK9RFaMOunDgsFJEnS0aPs0MoAZL\nEZkIAdzwsRPTliey4xVZYPatfpzciHMUlMZqdR+e9azMX5aFhGdye6JGEjfmt26V0a2bF6LAqKxZ\ns/w4/fSqOZkvERER5WHAm4ioCkr1ZJUx6LgtbT5CcuIC7+ZAB3SN10l6W6uLgyEJ3Z7yYn8wEQQa\n3C6GD68JVuBWVR5CAE8E7Hg24DC1SxCY6A3jPy5OFAYAirEcFu0TSJGZsFuPnpmcvd+JuQua4ccF\nzZHtOxXtTuqKHj3qo2PH2nC5WIgWyCuLsmDB3/j557/w0087kZ21B7267cTQgZtw7qCNaFDPf9Q+\nhFAQVwYiplyGuDwIkKr3kI0tmozzD7ixUzcXiz9B0fFZZgBNVNaoLig3LOG0iV7s9iWOD+3qaZh7\nux9WljYpMQGBB7yLsUtJHFeHRJrgonDLpPodNcqFr79OfKeHDo1h6lQeu4mIiKoyBryJiKqgO+90\nYvLkRLZY//5xfP556Wr5FrTIsgevu9fmL3sMC17I7Q0VHJ9eUnd+7sTkRYnPxGERWHSPD40zGfjR\nBXC3z4nJIXP9XwsEXksP4jxHNc+AFzFYjK+A4CtwW1ce9en/7Pbg0y/b4es5nZBWqwcGDWqBgQOb\noGbNwpnzVNjOnT789NNO/PzzTsybtwMtGm/HsDM3YPhZG9C+TfZR1zdQEzHlAkSVy2DIbY/BFldO\ne3QJFx1wmyazBIA6soFpmQF0sDB7uaDv11twyTtuU9u9g8K490yWNimNn6x/Y7JrQ/6y01DxQm5v\n2Eo7U28BixcrGDIkkUSgqgJr1+aidm1ethIREVVVDHgTEVUx5TFZ5dPu37G+QF3MMyONcWm4VVLb\nWZ0s36lg0Ese05DosYPDGDOQgYyoAK7LceHLiDkj1iUJTMkIoL+t+g4bl8Q+SKF3oMbehsux/4jP\nzd7vxGdftcW8pd1Ro25/DDqzBbp3rw+rtexBHgJ03cCqVdn47rttmDlzE4T2J4aduQHDztyIXt12\nQlGOfNqqSZ0RVS5DTLkAkNxHfO7xyGcAVx5045eYeTSBWxL4ICOA06vx97so139kLm2iygI/3eFH\nu/q8OVBSUei4I20BgnLinGdUqDUGRBuVuU8hgO7dvdi8ObE/nTAhhJtv5sgjIiKiqooBbyKiKibV\nk1Vmy2HclbbQ1PZ4bnc0NKpf8KYsdAMY+KIHq/5OZDmeUEvH/Lt8sFXzoeq6AK7OceHrw4LdGZKB\nTzMD6GKtnkEexVgDzTcJHvULWNTib1Tl+myY8b8T8dOibmjU4lwMG34iWrbMOIZbWr0IIbBmTTZm\nzNiMmTM3IRLajUtHrME1F6/ASW2zjriugXRElWsQVf8PQqpepaBiArgpx4Xph33POYKjsIMhCT0m\nepHlT4ye6thQw+xb/VB576rEPrdvwVeO7fnLdXQnnvL1gFz2S1RMmmTDww8nRsm0aqVj0SIf55Ug\nIiKqohjwJiKqYlI9WeUM+1Z84diWv9xC82Kcv1tS21idvLPQhrtnmEtJzLjOj76tqndmoxDAHblO\nTA2by5jUlw1Mz/SjtaWalXoROizGt9B9LyPNsfSIT/3fjydg8rRusHnPwgUXnozTTmsAWa7gqIsQ\nkHJzIGXvhbwvC1J2FuR9eyHlHIQUiwKxeN5jPAYpFgPiMSAWgxSPAYYBYXcADieE0wlhz3s0LXu9\nMOrUh6hbH0btuoC1YmtkCyGwbNkezJy5GbNmbUKD2ptx9cUrcdmI1UhPKz7rUwgrYuqFiCg3w5Cr\nzygZQwAP+R14LWiePFCCwGtpIVzojFXQllU+X6+xYNRk8w3lh4aEcccAjggqqYNSFGPSFkCXEpeV\ndwQ64uR4rTL3mZUloX37NGhaYl/73Xc+dOtWPW/MEhERVXUMeBMRVSGpnqzSgMCYtAU4ICcCOFcH\nT0TfWIOkt7U6yPZL6Pa0F7nhRLbe8I4xvDuKk1095rPjuaB5gsoTFB0zavjR8ChlIo4rQsBi/A/C\nNx4ex+ZinxYIWjB52smYt2woevXtj+HDW8LjObZBXyk3B/KWDVC2bISyZSPkndsh78uCnL0X0r4s\nSPFjl6lr1KwNo25980+jJtBbngij2QmAeuyGT+i6gUWLduHDD9fjf9+uw5AB63HNxSswoNefkI8w\nzUFMPgtR9RZoUndUlzTRlwM2jPObbwDKEHgjPYiRzPTOd81UF2atSny/rYrAz3f60KZuNbsRmIQ3\nnGvxq21P/nLbeAbuDZySVJ9XXOHCN99YCyxH8eKLoaT6JCIioorBgDcRURVy330OvPlmIoMu2ckq\nV6v78KwnMUmeVch4Ked0OFDNa3GU0E0fO/HxskQGs9smsPjeXNRPq96HuteCNoz1mYNeDWQD39X0\noUE1CnYr+nzE9j+Imt41xT7nzx3pmPp5L0TVyzDivG7HpmRJwA91/RrIhwLbytaNUDZvgJy9t9Rd\nCQHoAOLi0M9hv2sCMACoAFSpwKMEKAXabBJQ0iR2YbFCb9EKeuu20Fu1hd76ROit2kLUrV/ugeV9\n+0L48MP1eO+9tYC+E/932XLcMGoZamSGi11Hk05BRL0DcXlwtQh8TwtZcVOuE3qBywUZAm+lBzGC\nQW8AwL5AXmmT/cHEHZNTGmv47hY/FM4VXSLbFB8e8f5manvUdyoa654y9/n99xZcckki+97tFli/\nPgduVngjIiKqchjwJiKqQrp08eLPPxOFPt97L4Bhw8oeQHjZtRpLrYnatL2i9fB/oXZJbWN1sehP\nFWe/Yr6wfvTcEG7qU70nufosbMV1OS5TW6Zk4NuafrRSq0f2oqyvQGD3A2hQc0mxz/lxQVN89u1A\ntD/lCpx/QdtynXxS2p8NdekiqMsWQV22GMofayAZR/8s4gLwG3kTE+b/6OblYArP6lwS4JHzftyH\nPXpkoIYM2I8QDDTS0qGf3AXxrqdB69oDevtO5VYaRdcNzJ27A++8swa/LtyEqy9egTtHL0KzxjnF\nrqNJXRG2PAxNPq1ctqky+SJswbU5LlPQW4HA2+lBDGPQGwAwfYUF//eBOZI64ZwQbu5bvY8hpfG4\nexk2WRLfud7Rerg2iXMYTQNOOikNe/YkdjSTJgVx2WUsyUNERFTVMOBNRFRFbN8uo3PntPxli0Vg\n69ayZx75pRhuS5tvqoH5gP8UtNY4Kd7RxHWg73Ne/LEnEaQ8sa6On+/0wVKNJx6bHVFx2UE3tAKn\nCS5JYFamH6dUgwkqZWMTItnjUCfthyL/bhjARzM74KufzsXQ4cMxZEjz1NfmFgLyXzsOBbcPBbi3\nbTnaKjhgAHs1YK+eeMyphPcnPBJQSwVqKYmf2krRgXBhd0A7uQu0bqdB63oatI6nAA5n4Scmafv2\nXLz33hp89NFq9D9tJe6+4Vd0PXlXsc+PywMRVsdBl9unfFsqkxlhC0bnuGAU2B+oEHg3I4ihdga9\nhQBGTXbhm7WJmzJ2VWDJvT40yqyEX75KaJklC5Pcq/OXVSHhudxeSBO2I6x1ZBMm2PHCC4lyXN27\nx/Htt2UfSUdEREQVgwFvIqIq4t13rbjrrkTmbK9ecXz5Zdkvwr637cRHzk35y3V1J57y9YBU9l18\ntfHGfBvun2UOnH1zkx89mlffiSp/iykYsd+DcIH/PxYIfJIZQD/b8f2+SGIXjNwJSLd+Blku+jTn\ni+9b48ufLsOwkcPQq1dDSKksbWEYUFYth3X2N7DM/gbK9q3FPlUIIFsHdmjAnkOB7Swtr/xIVeaR\ngDoq0EgFGluABipgOewtFhYLtJO7In7GEMQHDIHRuGlKt8Hvj+Hdd1fjlVd+R7uWf+DuG37F2QOL\nrtsuhISYcj4i6v0w5NRuR8rF45DCISAUhBQOQQqFgEjeoxSPQ6gKoKiAqkIoKqAoeTXWFRU/aHaM\nC3kQUyzQFBXaob+/UCOKAW4p77mH1oUsV4uSLwXt8Uk4baIXOZwHokwMCNzj/RXZSqLk1t14AAAg\nAElEQVSk0PBwM4yItChzn1u3yujaNc3UtmRJLlq25E0IIiKiqoQBbyKi/2fvvMOjqNY4/M7M9pJG\nKjWE3gOCNEFBrwULKoq9d7Ff+/Varo1r7x29KvaGioqogCAI0nsnhJ5et0+5f2zMZkkCyQKahPM+\nzz6zZ+bM2TO7s7M7v/Od39dMuPBCJ99/H4kEu/9+L7fcEtvUZwOD++Lms0OJ3FSP93bm5EDmgXaz\nxeMPQf9H48mriAgU5w0M8PJ5h29iq7UhmZOL3JQakfdEqrIvaNGevYYG3jewq49gs9bt4TxrXgem\nzb2ME087l379Ug/eaweDmBb8Fha5f/kBOX9PndUMA0p0yAnB1lB4eTBtSABkiwWz3Y7J4cBkt2Oy\n2TDZ7ZirypKioAUCaIEAqt8f/TwYRPX5CJaXH9w+Aa1rCODtTeDYKwpc7daT0HFjCP3jZLSefQ+a\n2OrxhHj33VW8+OJiUhJzeOSuGYw9YX2ddQ3MBJRL8Ztux5BSYntBXQe/LyJG+zxhMXpvcdrnBZ8X\nKUq49lVt81SJ2lX7/VnX5/1Lk5UaVUJ5WDyvIYYrSmRblaBuRG0zR57HxWMkJKEnJmEkJGEktUJP\nSMRIbFW9Hpe7yYjr7y+wcPOn0TZQU6+vYFinlj1QeLCYbt3GBzUG7xN0K8+WHYV8AIP3p5ziYt48\nc3X5ppv8PPhg/T79AoFAIBAImh5C8BYIBIJmQCgEnTolUFkZufzOmlVO376x2URsVsr4T9zC6rJs\nSDxbdhQJBzAN+HDh7XkWbv8iIk44LQaL7y0j1X14/rxtV2VOLHKzW49WE5+M83KFs+V60Urqavx5\n15LeanWd2xevyOCrny/gtLOvpUuXpIPzooEA5pk/Yv7pO8wzf0SuqFskrqgSuP98lMUYmCjJMs6M\nDFytW9d+ZCTibu3GlWrFZPEhGWVIlCMZ5Uj4CUvOMkbVMvzXsWopmTCIR5cSMUjCkJJQgw68BcV4\n9uzBk5cXXtZ4XrFjB6WbN6MfgPiarEAXM3SzhIXwmm4yekYbgseNIXT8KahHDg9HGx8gPp/K5Mmr\nee65RXRsu5aJ9/7MiMHb6qyrE4ff9G8CyqWg6kiFech5e5AL8pDz9yDl70HOD5elvD1IFWURUdsv\nhLjGYphMYTE8MQm9amkkJqEntsLYSxw3/hTO4+IPynmxN7oOxz3vZtmOSLLo3q1VZt4qElg2BB8q\nNyfMISBF/g/dXtGfPmqrmNv86CMLEyZEfudTU3VWrizDbN7HTgKBQCAQCJoUQvAWCASCZsC8eSZO\nOSWSIDElRWft2rKY773fcaxllnVndTk7mMytnuwD7WaLJ6TBoIlxbCuOGHVPONrPw6cdnoJToSYx\npsjNJi3auPwul4+73P6/qVeHGMNPUe4DdEiehLmOJJzrN7fi9Q/HcvQJNzJyZIeD8pLypvVYP30P\ny5RPkEuK66xTqcOaAKwOwrYYAkNtiYkk9+5Ncs+eJPfqTkrPZJK7Klhte5CNbSjGNmQjF9nYjkQx\nEgc/+lQnHqNKBNelNuhSFprUMbyUM1FDKZTlbKVo3TqK16+neN06itati0kIt0th8burBTqbwVrj\nWqq1aUfwzPMInnk+etv2B3xcgYDKRx+t5YWn5nFM59/513lz6OwqgXygIPphFJqQikVkb1PEkGWM\n+MQ6xfEo0TyhhkiekBiOSN8P83MUxrwUF7XumbM8XDpUJEtsCG86VvObdXd1eXAwjes9fWJuz+OB\nHj2igww++KCSk05qwTOWBAKBQCBoYQjBWyAQCJoBjzxi45lnIkmUxo8P8NprsVloBNC4KWE2/hrR\nUDdX9mVA6CDaLbRQPl5k4fqPIlFfFsVg2X1lpMcdfj9tAQNOKXKzOGSKWn+Fw88Tcb6m4hZwUFE9\nM9FLbyCt1e5a28orLDz+0klkdL6Z88/vi3KgoZl+H5Zp32D55D3Mi36vs4pHh7VBWB0Ie3I39Cw0\nu1y0GTqUjMGDSemdQXpPjfjUXMysQNHXILELqcGt/XUYWNGlTDQpC03qjib3R5WzUUOplG7ezO6F\nC9m9YAG75s+nLCenwe3KQMcq8buXBZw1PrrQ0JEEx11A8IRTwGavu4FAALkwHyl/N3J+VUR2QR5y\n3u5wRHb+nvD6kqIDOv6/C0OWwe7AcDgx7A4MhyNctjvAbAFdA00DVUXSVFDV6HLVczQVX1DFo2qY\nNDXqYdFUJL3leSQbkhS2WElshZ7RBr19R7T2HdE7dETvkIXWPhMc4d+UqyY7+WJpxLaslVNn0T3l\nxNub3nexqbHOVMLj7sXVZbMh83zZCJxG7CHZt9zi4L33IrPeTjopyAcfCG91gUAgEAiaC0LwFggE\ngmbA6NFuli2LCIuvveZh/PjYIr9+s+ziTeea6nK8buGZsqMwIeZO7wtdh6FPxrExPxKtd9nQAE+f\ndXh6d99ZZuctry1q3em2IG8meFBamNgtGcVU7rqdtq2m1Ln9m+ndWbr5bi678kTcbkuddRqKvGEN\n1k+qornLy2pt9+uwJhiO5M4JNUzkVqxWMgYPpt1R/ck8Ko7WfSuwmlai6MuRKTyg/jYFdFJR5eyw\nAC71R5P7U5mnsWv+/PBjwQIKV67EaICgKhOO/O5nDQvgNc9lrU071EHDwGZH3pEbEbbribr/KzFs\ndgy7PSxC1xCnqRKojT8F6qiyE/587nCArcY2hwPsVW1YLAfV7/qVSiv3VUQn/e1h0vg+sYx4IyyM\nh8XyKqFcDYGmIal7basW11UktaocDCCVlSGXFiOVFCGVliCXFCGVFCOVFFetL25SNjB6Shp6+0wq\n0rN4YWsP1lk7s8nZmc3OTpx7nINHxzadvjZV6kpeeYmnO6ODbWNuc9EiheOPj0Tdm0wGGzaUkZAg\nbmUFAoFAIGgOCMFbIBAImjiFhRLdusVjGJFL7/r1paSkxHY5fcy1iPXm0uryGH8HzvF1OeB+tnS+\nWWHm0ndd1WVFNlh0dzkdWrW8qMT98bnPzNWlrqh1R1tCfJxUibWFid267zss3htwO2uLz7v2uHj/\nmys58fRbaN8+ro69G4hhYPptJrZXn8G8cF6dVQpU+MMPy4MQasBXP7V/fzqMHkmHoxLpMGA3Nssc\nTMaa/e/Y0C5jxSAeQ4rDIA5DctcoOwhL8ToSOuz9MELIlCIZxUiUIBnFyNR+fw8ETepMSD4GVR5F\nSB5OoAK2zZxJzrRpbJ0+HX9JyX7bsEvQxwrZVkhX/sIchxKQBKSEH3pqBsG0U9FSu2KkpaOnpIU9\nph0REftQeEsfSu4ps/P6XgNmIywhPkuqxPJXvM9+X1gALylGqhLH5dISpOKiqnKVOF5aEt5WUozk\nqfwLOhZNsTkRS+eOWLIy0Tp0DEeId8hC79ARIzm1ySTebApMsW3hK/uW6nInNY77K46MuT3DgCFD\n4ti4MTLI/eqrHs45R9jMCAQCgUDQHBCCt0AgEDRxPv/czNVXR8TFvn1VZs2qiKmtQtnHP+PnRq2b\nWDaUDN1Zzx4CCN/4jnrWzYqdkSj7c44I8Or5h19097qQzD+K4vDUGIDpoGjMTK4gQW5BP/FGiLId\nd5OZ8k6dm9//YhjJWU8yZGiPA3gNA/OMadheeRrTiiW1NusGbAiFhe6cBljHpvTtS9exQ+h5qo2U\n9ssx6fORaHziUAMJg3R0qT2a1AFdao8etUwFybb/hhr1oioSZVXidyGysRVZz0ExcpD/fLB/kbru\n4zGhSgNRlVGEpKNR89LI+/4Htkz7kc1LllFSun+xPU0JC9/ZVrDFqC0bkoTRKgU9NR0jJQ29Srxe\ntkfh7e8KcLTbyW3/+p0OfcthLycGHTc+8xME5fEtQuTUDLis1MlUf/SMiPH2AK/Ge5vmIQYCSGUl\nETG8uEYEeZU4LtcQzKXS4jpnaRwsDIcTrX0mevs/hfDwUu+QhZ7eukHe4S2JAtnH7Xv9v3m8bCit\nD+D/zd52cmPGBJk8WdiaCAQCgUDQHBCCt0AgEDRxrr/ewccfR3wkb7nFx/33x5YQcJZlJ+8411aX\nO6vx/Lti0AH3saXz8zoT49+MJA2VJIN5d5TTLe3wiu6u1OG4ojg2qBEhxYrBtOQK+pm1fezZvAj5\nt+LdeR6ZbdbX2rZmQzJfz7qVCy+/ApcrRvsSTcM8/duw0L1uda3NPh2WBmBhUKZU3fc51qpHD7qd\nPphepwZIz5yFTG1/8X1h4ECTeoctQaS+qHI2utQJJOv+d/6LkYwSZCMHxdiEoi/FpC9DMVYgUYfl\nQwjYAeTU8dhrvLBQg3VBWBGAgv2cxhYJBlhhsA0S9tITtbbt0Tp3x0hNQ09NR09JD0dkp1ZFZSen\ngslUZ7t+v8pTT/3BG6//zt03zOaO6+ZisdT+7IPy6XjNT2NIifvuaDPAZ8AZRW7+2CsPwG1OH/fF\ntZCkt6oaFskLC1B25CJvy0HOzUHJ3YK8bSvyzm1he5aDjGG2oLfrEPYLb58Z9gv/UxBv0z5sU9MC\nmehazFpzZGDsZH8Hxh/ADLblyxVGjYrM3rHZDDZsKMXl2sdOAoFAIBAImgRC8BYIBIImjGFAz57x\n5OVFQgq/+aaCo45SY2rvJecKFlryq8vjfJ04zd/xgPvZ0hnzkov5OZGQy1P6BHnv0sMryssw4OpS\nJ1/sFZH5bLyHSxwtZ4r3nq2fkeG4lYS46Oh9VZV4/u1/0LnfI4w8unNsjasqlu++xPbK0yhbNtba\nXK7BHB8sC8mo+/Cbdqan0+uCk+g9Flp3+RXF2FJv3ZoYyGhSNqo8EE3ORpX6oUtdQWrGkaAVpVg2\nTce0eQ7K5hXIW7Yh5ZQhbQcaeZk0DNilwTI/rAqCfx//WCWgpwWG2KBt1aXBcDjxX3INgStvxIiL\nj+lwVqzI58YbfybkW8srj3/HqOFba9XRycBjfhlVOSam12hKFOkSJxa62axFn4PPxHu4tAVdV+ol\nFELetQN52xaUbVuRc7cg5+awc1kuGaVbsOmNn6GxPwxZRm/dtjoaXGufida5O1qfbIxWKQf99f5K\n9s5RklCVo0SJMUeJYUD//nFs2xY5PydNquSMMxow5UYgEAgEAsHfihC8BQKBoAmzapXCyJGR6CKX\ny2DTptKYgrN0DG6In41Hjtyo3V8+iE5abMLM4cLvW0yc/LI7at2MW8rJbtdyIpobwiSPlTvKoxPN\nnWsP8HJTtR9oLEaIHWv/SZ+sybU2bd8VxztT7uSSK68gLi6GyGfDwPzz99j/+wBKbm1x2qPDb75w\nRLe2D6E748hsjriiC71PXIfVvLJBL63RLmzlIY9ClUc278hgVUXZuA5l+SJMyxdjWr4YedN6JOPg\n/LU0JDDautGyuhNo358NlQFWrVjD1kWL95nwsp0JhtqgmwVkCfT4BPxX3Uzg4qvC/tqNJBTSeOml\nJTzxxAKuPP93nrzvJ+z22uq9X7kOn+nfB99e5i8mR5U5ochNoR4RJWUMvkyqZKQ1tsHd5s7KnQqj\nn3GS7ttNZ88mOnk2c027tWSrG5G3bUXJ3XJIPMX1jDaoffqj9h2A1qc/Wu/smAdv/g4CaNyUMBu/\nFPl9vq0im35qcsxt3nefnVdeiXzHzjgjyKRJh9eAt0AgEAgEzREheAsEAkET5oUXrDz4YEQwOfHE\nIB9+GNuNVo5SzoNxf1SXHbqJl8uORo79kn5YcNYbLmasj0R3j+4W4vOr//rkZX8ni4MKY4rchGqc\nKz1NKtOTK3C0gNPHULdTuvVcstqurbXt59+6U6m8wtGjsmNqW964Dscj92Ce92utbX4d5vphQUgh\npNY9gKJYrXQ/cwRHXhagXe+5VUkg93EsOAnJI6uSNR5TZU/SDD8kw0DavRPT8kWYli9BWb4Y0+rl\nSL6D4JtvBzKrHh2rHllAe6BK11KlngSUywkqZ+PJ87D6/fdZMWkS3vz8OpsESFFglB26W8JvuZ6S\nhm/CHQTPvjAmC4kNG4q5+eZfKC9ezgcvf0n/3ntq1dGkHlSa30KXD8BLvgmwOKhwWpEbX41rTLKs\nMyO5nLbK4XnrcOtnDt6dHxlga5Ogs+ieMqwmwt+P4qJwZHhuTsQqpWoplxQdtH5omZ1Q+/RH65ON\n2mcAWs8+4Gi6eT8mOdYw27qrunxkMI0Jnj4xt7dggcJJJ0UHHmzYUIqteY8zCQQCgUDQ4hGCt0Ag\nEDRhzjjDxa+/RsTWJ57wcuWVsU1xnmrdymeOTdXlgcEUbvT0O9AutmiWbVcY/Vxc1LrvJlQwNOvw\niTos1iWOKXSzo4blgEsymJFcTmdT8/cw95VOwxm6mnh39CCGqkp88sO5DPvHkyQkND5KVyorxfbC\nRKwfTKrl0Rs0YH5AYl7IRCBY99R4V+vW9L9sIEecu4n4VmvqrPMnBhZC8nEElXGE5BNAanx//3Yq\nyjGtXIpp+eKwuL1iCXJB3gE1qaemo2V1Qcvqgl611LKyUFK3YOFrzNrU/SbCNHARVM4moFxOINiJ\nDV98wdJXXqFobe3BkT9prcBoB2SZw8K31i4T/833EDx1HMiNs1bQdYO33lrBY4/9yt0TfuauCb/V\nasLAicf8IiHl9Ea13dT4wW/mwhInRo3bjCPMKlNbVWBthmM2B8quMokjHosnoEYO/skzvVwxvAH/\nASrKq8TvGlYpVZHhcl7jfP73xpBl9M7dwpHgfQag9e2P1rUnWJuG7/96UwmPuRdXl02GxAtlI3Ea\n5n3sVT+6Dn36xLN7d+SL98EHlZx0krA1EQgEAoGgKSMEb4FAIGiieDzQqVMCwWDkkrtoURlZWbGJ\njP91LWZNjWROl3i6MzrY9oD72ZK5+H9Opq6MRGYOzQrx3YTDJ7pbN+DcEhc/B6KFgncSKhlrb/43\n+/lbX6FT8v2Y9hLud+yOY+7qR/nHyecjNTY6WtOwfPIe9uceRS4pjtqkG7AwKDFbs+L11Z2Uz9U6\nnWG39mXg+CWYzYX1voyBhCqPICiPI6SciiElNK6ffyehEMqGNSjLl1RFcC9G3rIxZmsSrWPnsAdx\np5rCdhdwx+17RyOESZ+FRZuCRZ+KtHc2y71QpSPxm64kKI1l28zZLH3lFbbNnFlv/UxTWPhuV/X1\nUfsdgfehp9B6NX6gce3aIi6//AdSE5bw3gtfkdmurFYdv3JTlcVJ8/Vkf6LCxsRKe9S6yxwBno4/\nCJH9zZB7pth5fU4klDgjTmfxvWXYYtNuw/h9yNu3VkeGKzmbUVYvR1m3CikU23XdMFvQuvcKR4L3\nzkbtOwC9U9d6k7QeSgwM7oybR74SSWZ7sbcbxwbaxdzmnXfaeeutyOdw3nkBXn758DwnBQKBQCBo\nLgjBWyAQCJooP/1k4pxzIt7RmZkaS5aUx9RWAI3rE2ahSpFL8BNlw0jTm2Ek6F/Euj0yw56M9i79\n9KoKjut++ER3P1Vh47G9xKdrnX4ei/PVs0czwTDYvPxOBnafVGvTjLndIOEt+h/Rq9HNmv6Yh/3h\nuzGtW1Vr2y4VvsXFnrK6B0zsyYkMuymTwReuxGyr/xzTpB4ElAsIKmdgSBmN7uOBoKJTLPsplP1U\nSCG8UgiPpOKRw8s/y8Ea/rkYBonb8+iwZB3tl66nw5L1tF25EbM/toSEeqsU1H5HoPU7Iuwz3HfA\nwfEYNgKY9V+waB9g1n/cp3WMJmXiV24mqJxL4drNLH7hBdZ/9lk4w10ddDXDsQ5INYWjYwPnX47/\n1n81ut9eb4h77pnN11MW89Kj33PRWStq1QnJR+MxT8KQkhrVdlNBN+D8EifTA9EWMC/Fezj/cEhi\nuRd55RIDHovHF4rcej021su1Iw9+MksCgfBA1IqlmFYtRVm5FGXjOqR9+NfvC8PuQOvZJyoSXG/f\nsdGzHGLha9sWvrRH8iV0DyVwT+XAmNubM8fE2LGR/2MJCTrr15dhPpCBB4FAIBAIBIcUIXgLBAJB\nE+Xuu+288UYkoujyy/089VRsQuNKUxFPuZdWl5M1G0+VD0cS/t31ct2HDj5ZHJmi3a+tyoxbKpql\nHXIszA8qnFzkjrIXGGRW+bZVBZZm/B6EggE2LLqYowb8FLVe1+H1D8dyzCkvkJ7urmfvevB5sT/5\nH2zvv1FrU8CAGbKbhUWVGHUIotb4OAZP6Mqwy5ZhddYtdBtIhOQTCSjXoMojDqknt47BHtnLDqWS\nfNlHvuKjQA4/imQ/ulTH37iQiqnUixQIoXgDdFiRQ7ff19Fu5VbarN+Bo9SDCTBLVQ/AVON5fYcT\ntFvZ3acrxdm98fTLRul7JOnp3Ujg0JrnSsYOrOq7WLXJyNRvq6KTgd90IwHlYorW5TL/8cfZPHVq\nnXVlYLANjnaAVQoL9767/0Nw7PhGf55ffLGBW2/9mfNPn8+Lj3yPxRItSGpSezzm99Dkvo1qt6lQ\nqkuMLnSztYaNkg2DackV9DUfXsmCAf79jZ2Xf42c86lunSX3luGIIXl1o/F6UNasxLQyLICbVi5F\n2bo55uZ0dxxan/5RkeBGRpuDfk3Ll73cET+vuiwZ8ELZSOKM2N40VYXu3eMpLo6I9Z9/XsHo0YfP\nALhAIBAIBM0NIXgLBAJBE2Xw4Dg2bozc8E+eXMmYMbFNN/7YvpEfbLnV5aMDbbjc27yTnB1KthbJ\nDJoYh6ZHfu7+d0klp/Vt/jYeDSFgwMiCODbWEJxayTqzkstp04wTyPl9pWxfcQZH9lsevd6v8PZX\n/2TcBXdgsTTODkJZtgjnndej5GyKWm8YsE6y8H3ISmV5basMs9PBwKt7MeLqldjj67Y3MXARUC4g\noFyNLndsVL8ago5BvuwlR6kgx1TOVqWcXFMF/hoR2pI/iG3Dbmxrd2LeUYR5T2nUw7SnFHPhvq1A\n9odDApcMZreVUOtEKjplUNi3A3kDOuHr1ppAlwwMS8QaIUG30EFz015100Fzk6nFkazbDv4AnhHC\nrH+PVXsHsz673mo6yQRM1+FXriBv6SZ+f/TReq1O3BIc74ReVYktQ4OG4X3wCfSuPRvVtS1bSrny\nymnYlMV8/santMmI/gwMbHjNzxFUxjeq3abCqpDCCYXRSSw7KBozkitIlJvvNSgWCiok+j8Wj7eG\nvdl/TvVywzGHIMq7AUjlZSirloUF8BVLws937Yi5Pb1VSpX4XRUJ3icbIzn1gPt5n3s+202RGTVX\neHoyMtg65vZuusnB5MmRQfBLLgnw7LPC1kQgEAgEgqaKELwFAoGgCbJ9u0y/fpHp7iaTwaZNpcTt\nx5K2Pv7tns+2Gjd+Eyr7cGQo7UC72WL55+cO3vk9cmPbJVXj9zvK/4qZ2E2CxytsPLmXlcnnSRWM\ntjbfaLbK8p1UbjuFHp1zo9YXl9qZtfwZRp1wTuMaDAaxvfwktteerTXlv0yDqe4MNm2vOzlc99N7\ncNID24hL89S5XZM6ElCuJqCcB1KMX/o6MDDYrlSyylTMKnMRW0xl+KrEbSmoYl++FfvqHdjW7sC2\ndie2NTuw5uQj6X/vXzfDpODvko6/Z1t8vdqFlz3b4u/eGsxhIdytm+mhJtEzlEgPNYk03X5QBXBZ\n34BNewWL9hESdQ986SThN91FQLmUHXMXMO/hh9mzcGGddTNNMMYJKSYwTCb8E+7Af+2tjfI8DgRU\nHnhgLl9/9RufvfEZIwZvq1XHp9yJ33TXIZ0VcKj41Gvh2jJn1LpjrSE+SaxEbn6Hc0A8NNXO8zMj\nUd7JrnCUt6tp5IlEKsxHWbkM08olVculyEUFMbenZ7QJR4FXRYOr2QPB6WpUG1/ZNjPFnlNdzg4m\nc6snO+Y+7W0zl5Kis2ZNGUrztcwXCAQCgaBFIwRvgUAgaIL8738WbrstcqM/bFiIqVNjS5ZYLgW5\nMSESnSgZ8FLZSFwxTu1t6ZR6JXo8FE9AjfzUvXKeh3MHHh7+sWtDMscUxhGq8VN/sT3AcwnNN5Kt\nrGgVSvmZtMuITgK5fVciu/wf0LXnkEa1J29ci/P26zCtifZQNgxY6Eji50IvIX/tqO349kmMeTxE\n11F1R0RrUgf8prsJymcdtMSDZVKA1eZiVpqKWG0upkwOn8dKSSXOeRtwzV2Ha+56nH9sQvY3rxkM\nmsOKZ3BnPMO6UTm8G56hXdESwtfNJN1Kj1ASPdVEeodakWAcHGVQMnZgU1/Cqr2HRN2R+ZrUGZ/p\nQYLSiWz+7jvm/OtfVOyoHQErA0OqbE4sEqh9B+B56jX0jp0b1af331/NPff8xMR7p3Hj5X/U2h5Q\nLsRregakvz6B4IFyZ5mdt7zRFjYPub3c6Pp7opv/Looqw1HelYHIdfmBk73cPLqJvg+GgbR7Z7QV\nysqlyBWx5SExzGbUI4YQGnEs6ojRaN177XcQZ5tSwb/jFlSXzYbMS6UjsRHb9yAYhK5d4ykvj4x8\nT5tWzpFHHn42OwKBQCAQNAeE4C0QCARNkIsvdjJ1akSQ/te/fPzzn3WLK/vjd/MeXnNFkuhlqm4e\nqhh8wH1sqfzvdwu3fR4ZbGibqLH4nnLMh0EUl27ASUVuFoYigkCarDM/pZz4ZmojULRnHkmcQ1JC\ndDT12o1tMaVOITktq+GNaRrW/72K/ZlHkYLRQpNfhylJHVi/ObfWbrJJYch1qRxz827MdeSJ1UnH\nZ7qdoHIhSAc+EFUo+1hgzmOBJY9cU1hclz1+3D+tIH7aMly/rce+evsBv05NbBKYCHtzK4qM4nQh\nxyegJCQiud2ogQCqz4fq96N6veGlz4fqO3gJUA1Jwt+rLZXDu1F+fD/K/9EX3W1HMqCLmsDAUCoD\ng6m0Mg7cA1wy8rGpr2LVJiFR92BkSBqOz/wf/L6uLHz2WZa8+CJ6qPagQpIMZ7igrRkMmx3fXQ8R\nOP/yRiX3mzdvJ5dc8h0nj57PaxOnYrdHz8YIysfjMU8CyVlPC02ToAGn7nVNsmDwS3IFvQ4zP+9H\nf7Dx9M+RmTeJDp2l/yoj7tBa2h88dB15W044KebKsBWKafUKJF/jB1P1lDRCR0A0nLgAACAASURB\nVI0idNRo1OHHYLRKrlXHwOCOuHkUKJFrzA2VfRh0ALPbrrzSyZdfRq7R997r4/bbY/tvJhAIBAKB\n4NAiBG+BQCBoYqgqdO4cHUX0yy/l9O8f2839W47VzLFGrBVO9mUy3t+4CMLDiTEvuZifY64u33m8\nj7tPODxuaN/yWLmzPFqRfSehkrH25hX5+yc7cxfQxjaOxPhoQWX+0h6kdZ9CQmJKg9uSSktw3nYV\n5jkzam3b7k7ic69CeX7tKfxtBmVw6n/zSete+/urk4jfdDMB5UqQ6lDCG0GFFOQPcz7zLXvYYC4F\nwLyrmPhvFxP/7WLifl6JHIjtc0yQIVmBJCXste2q8tz+8+GwmNAHDEY9ahSh4ceg9epHQ+f566qK\nt6AAz549kcfu3VTu2UPFjh2UbNhA5a5dMfVbNytUHtOLspMHUHrKAIKd0gHoqMYxMJjKwFAq6fqB\nve+SUYpVfQ2b9jISdVvUBOTx+MwPULypkll33cX2WbNqtwMMt8MxdlAkCA0/Bs/jL4YT+jWQ3Nwy\nzjvvWxKcy5n67oe0SooeTFClAVRaPsaQaouDTZldmsRRBXGUGpHfxB4mjV+Sy7EdRtYmpV6Jfo/G\nU+GPHPSDJ3u5qalGeTcEVUXevCE6EnzdKqQ6Bobqw5AktN7ZYfF7xOiw/Yk5/Bv+oX0DP9oiVj9D\nA+lc6+0dc3cnT7Zw002RQaPhw0N8+21ss+8EAoFAIBAcWoTgLRAIBE2M+fMVxoyJ+Pa2aqWzfn1Z\nTP7RBga3xf9GsRy5Ib6rYgA91aSD0dUWx9YimQGPxUetW3RPGVnJej17tBx2ahJDC+KpNCI/8SdZ\ng0xO9DRH+182rfuDDq6zSE2OFiOmzR5Gr2Gf4HI1PNJV3rAG13UXoWzLiVpvGPBbx97MWr4OXY2O\nqDU7bfzjATsDzy9B2uu7a+DAr1yP33TDAXl0B9FYZAmL3KtMxWiSgXXTHhI/nkvC14twLtrcqPbc\nMrRRwr7SyQqkKNBKCdtt7I3WqWs4wnL4KNQjh4HJjOT1IHk94K1EqqxE8vtAVjBMCpjMYX9qxYRh\nMoHVhp6YFPbl3c8JFigvp3j9+shj3ToKVq7Em5/fqOPzd2tN6WkDKT7/KHz9OoAk0VmN5+hAa44M\npsVsdQAgGXnY1cexaJORqH29MHDjNT1IQL6YTd9OZc6//lWnkJ+mhKO900ygu+PwPvo8oZPGNrgf\n5eUBrrnmR3I2LeLHD98ns11Z1HZNyqLS/NkhSYJ6KJniM3N5abSH8/VOP4/EHbwZAs2BiT/aeGJ6\nJMq7dXw4yrtFzUAKBFA2rKmOBDct/L3WtXdfGC43oaFHExoxmg2jjuCBHnnV2xy6iRfLRmIitoQc\nO3ZI9O2bUF02mw22bCnF2bwmTggEAoFAcFggBG+BQCBoYjz2mI2nnorc0I4bF+TNN+uOHNwfu2UP\nd8f/Xl02GzKvlB6NhZZ0d3zweGK6jYk/Rt77IzNVpt1Yt99yS8Iw4MISJz8EIlO1XZLB7ylltFGa\n38/28iUL6Zw4nrYZ0WLfV9NPYujx/8NqM9ezZ23MP36L887rw0JuDSpdcXyZ0IGc5Str7ZPWJ56z\nXy2jVR1uKUH5RHzm/6JL7Rrch70plvzMsO5glnUnFXIIudJP4ufzafX2TNxz1ja4nTQF2pmgvTm8\njJf3n9tQ69gZrWNnMAzk3TuR83YhVZQjqbElNDUsVozEJPSkZIzEJIykZPT01mgdOqJndkLrkIWR\nllHL3sMwDMpzc9m1YAG7qx5F69aFT+YG4OvdjqILR1B8wQhCbVthMxSGBNM5OtCajlpczAkvZX0N\nDvUBzPovdW4PSUPwmp/F723D3AceYOU779SqowCjHDDUBrIE/suvx3f7A9VRq/tD03Qeemgen3/6\nK99P/oD+vfdEbddJptLyJZoce6Tr38F1pQ4+8UV7sU9JqmBkM06m21iKPRJ9Ho7HF4qcn29eUMm4\nAc1zFk5DkXNzMP82A9PsXzDPn1PrerwvdnVqzaJj+7F0VD9WDevJjfpQ+qitYu7LoEFxbN4c+Q/1\n6acVHHfc4XMOCgQCgUDQXBCCt0AgEDQxjjvOzZIlkUjDl1/2cN55sSVM/Mm6ncmO9dXl3qEk7qgc\ncMB9bIkYBgyaGMeWwsiN7NPjPFw2rOUnq/zaZ+ayvaInn4jzcqWz+U2VX7NqJRmWM8hqXxy1/sff\nTmTA0e9jamgopK5je2Ei9pefqrVpS2Z3vtxejKeOCONBl1s5/t8BTHvlSNTJwGv+LyH55P2rynVg\nYLBZKWO6bTuLzPlo6Dh/30Dy2zNJ/GQeSuX+bXcSTDLdTDqdqgRuW2xBjn85hs2O3j4TLbMTWs++\nqH37o/Xuj5EYPVMlUFbG7j/+YNvMmeRMn07Zli37b1uSqDimJ8UXjaTk7KHoLhvtVBejAm05KpiB\nNcbBQZM2A7t6PyZjTe3XxIxfuRW/6Va2/jKHX26+Gc/u3bXqZZpgnDtsGxMaOBTP85MwUtMb3IdX\nXlnKfyf+xBdvfco/Rka/FzqJVFqmoMl9GtyepukEgzqhkEYopBMMaqhqeF3keXhbKKTtVTfyPBTS\nkCQJq1XBajVhsylYrQo2m2mfy4DZxMiiOLZrkc+ktawztxnnGIiF27+w8/a8iHF3/3YqP99c0Sxn\n4sREMIhp6R+Y5szAPGdGreTB+yJkMbH7yGySh51CaORx6F17NPp6fPvtdt5+O/L+T5jg5+GHD6+Z\nBgKBQCAQNAeE4C0QCARNiOJiiS5d4jFq2EqsWVNKenpsl87nnMtYaimsLp/j7cKYQIcD7mdLZGGu\nwgkvROwlLIrB2gfLSHS07J+tUl1iaEEceXpE/RxkVvmhVQVyMxNQtm7ZiNN/Cl2zor205y09lm5H\nfozcQF9pKspx3n4tlhnTam1anH0U389eUCv5oC3BytinA3Q/Kbq+gUxAuRqf6R6Q3I06HgANnQWW\nPKZbt5NjKkfyBUl+ZyapL/yAbf3+va3bWBW6yRrdLGGLkpYkimntMtH69kft0x91wJFofQaEbVOq\nKNm0iZwff2TrTz+xa968WrYze6PGOyi6YjT5E04gmJWGWzdzXKAdxwXa4jJiSCZqaFi1t7Crj9Tp\n761JXfCYX8JT1plZd97Jhi++qFXHJcHZ7nAUvp6Shuf5t1EHDd3/SxsGXq/Kyy8v4emn5/L2M19z\n4bjo2QgVHhd3TLydRcvSCAS0GmJ1XYK11tDg+UOKeWhHQm9cRM2LU/ycDXR6Y0aVcG6qtawpmsfH\nW0lJsZOc7Khetmplw9yMPEE25ssM/m+09db3E8oZknV4JfH8E6kwH/PcWeHo799mIhcX7n+nKvS0\nDELDjyE0YjTq8FG1BtHq4ttvzVxySWSAuHdvldmzW/5MMIFAIBAImhtC8BYIBIImxNSpZi6+OHIj\n1auXypw5sd1IqehMSPgVvxS5Cf5P+WA6aI0X3Q4H7vjCzqQaUXOn9Any3qWxWck0J24pdfBeDZsA\nMwa/JpfT3dy8fMvz9uxALziBnl2iI2WXrT+G9n0+RZIb5s8s52zCde0FKFs2Rq3XFYWZRx7Pb1N/\nqLVP20EOznrZS3zb6PWq1B+v+Rk0uV/jDgbQMVhgzuMr+xbyFC9KSSUpL/9I6gs/YC4o3+e+7awK\n/Uxhkdv1F0VxGyYThtMFDieG04XhcGLYHaDrSJoazsarqkhqKLz0eZGKi5ACBy8hrO6OQx06Muwr\nftQo9PaZ1dsC5eVs/ekn1n/6KbkzZmBo9YuDhiRRduoR5N88hopRvbCgcHSgDScE2pOi2+vdrz4k\nYweO0O1Y9Om1XwsFv+ku/MqtbJjyDbNuvx1/SUn0/sA/HDDEBoaisGzsjfzebxzFJQFKSvwUF/sp\nLvZVP/9zGQhEjlGSdJ5+YDq3Xj0/qu3iEhvHnnMJy1ZlNPq4/jb+eRxcPjx63e2fww+rY24yMdFG\ncrK9WgRPTrZXlR21lgkJVqS/eeTovElOflwTGYQ5XH6v9ouuo6xdGY78njMD05IFDbZbMiQJrU9/\nQiNGExoxGq3fwKgBtD8pLZXo1Ck6MGH9+lJSUsQtrkAgEAgETQkheAsEAkET4sknbTz+eERQufpq\nPxMnxjZVdqNSyiNxi6rLbt3MC2UjkWO/hLdYgir0eCieEm9EHXz/0kpO7tOyfVHnBkycWhw9AHKH\ny8c97oMnQv4VlJUWUL71H/Ttvi1q/YoNg2nX5xuQGuZ9rKxejuuys5BLiqLWh5KS+abTEaya9mOt\nfYZNMDH6ThWlxksYmPCZ/kVAuQGkxkWOGhgsNRfwhW0LO0yVmHcUkfbsdyS//hOKp36LGZci0c9s\n0N8WTjR5MDGcLrROXdFbtyWQnEGhJYkdRjy7pAR2GPHs8FooKNMoKfFTVOTD71fRNKPqoWMYYTsM\nAKfTjNttweUKP1rZdTLMPto6gnRwBsgw+0jz5xNXtAPTthzkrZuRy8v208O60dplEhp5LKETT0Md\nNAyqIvy9+fls+Oor1n36KflLl+6zDV+vduT98xSKLhyBbDIzJJjG6f4s0nRHI99EA7M+BUfoHmRq\nW+EUVQzg+3n/YvUiP/pnj+HMry3e9rTAaS6wSjA50IcrKscSbFSiTYOn7p/OP6/9PWptsxO9zQp8\nfCV0r2HvUuSBU1+CskN/7TKZ5GpBvD5RvObS4Wh4zoCGMmeTibGvRq7dkmSw6O5yOh4GCZYbRUU5\n5gW/sX7+Z7T+dT4ZW/P2v08V1QNoI0ajjjgWvU0k78Le1nNvvlnJuHEt+/+CQCAQCATNDSF4CwQC\nQRPiiiucfPVVJGrrmWc8XHppbB7SX9m2MMUe8W0dEkzjOk/D/VoPJ75baeai/0Ui6xMdOmsfKMPS\nGC2pmaEbMKrQzUo1cpBdFI3ZKeVYm9GYiNfrJ3fp8Qw7YlXU+hXr+9G2zw9Isq2ePaNRFs3HfdU5\nSJXRMyo83fvwGW5y586Lrm+RGfuMTp8zo9vRpA54zG+iyQMbdRwGBqtMxXxh30yOqRzztkJaP/QZ\nSe/PRg7VHY0sA90skG2FzmYOqgWN5o6nLC6NnfYMdoUceEu9BCs8aD4/CgYhZEKGgopc/bzSsFBs\n2CkxbBTrdoqN8GO37qbYsNOYv48mk0x6upOOmXEM6mxlcIqXPqY82hdtxLp6GcrGtUj7iNLeGz05\nleAJpxI66XTUgUOqxe/iDRtY+/HHrH7/ffxFRfXuH8hKY/d9Z1J04QgUk5ljAm04zd+RBMNa7z4Q\nFvr37PGwbVs527aVk5+3i5H9XuWYwTNq1S0ptXH1nafy5dTujGImI/itVp1WMpzjhhQTzAxlcmbF\nOZQajYk6N3jy/uncXofofdy5F7N0Zet695QksFgUzGYZs1nBYgkvw2W51jaTKbwusj5S3zAgEFAJ\nBDQCAQ2/X41a1reums4p8OnVYK1xkf58CTzwbSPei78Gp9NMcrKdjAwXHTvG06lTAllZCWRlxdOx\nYwJud+PtcgwDjn7GzapdkeO/eoSfiacLL+m6mGvZzRvO1WRs2UP/mcsY8fNqes5d1ajkl1pWl+ro\n74d/OZYnX4okvrzwwgAvvOA9FF0XCAQCgUAQI0LwFggEgibEUUe5WbMmcgP7/fflDBkSmy/nI+6F\nbDRFIiOv8PRkZLB+MeNw5uL/OZm6MiI6XD7Mz1PjWrZw8JXPzBV7Jar8rlUFQy0Nm/7dFAiFNGZ8\nfQnnnvJ91PoV67qT0Ws6JrOrnj2jMc35Bdf1FyP5oz/zwuNO4ZOVmylcszZqvS1B5ty3dToMiW4n\nKJ+Jx/wMSHE0hl2yh/cd61hjLkEu95I+cQppz36H7K87YtAiwUArDLGDu5kknqw0zGzT4tmmx5Or\nJ5Crx7NWS2G1msJmPQmdhh2IJEFWVgIDerg5NdPDUPse2u1ejXn+HOSS4v03QNgLO3jiWIJnX4jW\nozcAqt/Phi+/ZNnrr1O4cmW9+/o7pbHnvnEUXTgCi2LmeF97jshNJn+rl+3by9m2rYLc3DK2b69g\n27ZyduyoIBSqHXU75tgNvPPsFFKTa4tkkz7qz033nUQ73xbO4CtsREf2W6Ww6N3RDGvUZMZUXECu\nnlirHbNZJinJRmKijaQkG0lJdnbtqmTJkj088e+fuOO66EGckBbPuoJP0OXue4nYYQFbUf7ek03X\nDYLBiBj+UsjFy0pCVJ3/bN1IVkkZfr9WJZKrVc9VfD6V0tIABQVeCgt91cuiIt/f6k+eluagY8ew\nCN6pU1gE79QpgY4d43G56hfDP15k4fqPnNVlp8Vg1f1lxNvFrdbelEgBbkmYU12WDYlX8obgXrok\nYn+ytv7v/d5oJiu/eEfyY+gEvg+NoTKjK8uXl7eoHAkCgUAgEDR3hOAtEAgETQRVhbZtEwgGI5fY\nzZtLSUxs/GXTh8r1Cb+iS5F9nyk9ilZGw6JdDydKvBI9HownqEXe92k3lnNkZstNAKYaMKwgjk1a\nxPviDFuQSYnNxwNW1w0mv/UAN1/8UtT6NRszSew8A5s9oZ49ozFP+wbnbVch7ZWEcvvY8/l02iwq\nd0UnhkxoJ3PBZJ3kLpF1Bg68pokElQsalRUygMY3thx+sOWiqSFS3vyFjAc/q9ej2ymFRe6BVrA1\nE6G7IfgME2u1ZFZrqaxQ05ivtmWR2ho/DbOCcLstDB2czhmdvYxWNpGZswjzkj+QQvufHaP2O4LA\neZcRHHM62B0YhsHuBQtY9tprbP7uu3q9vv2d0tj1n3MoOW84wWKNjY8UkvNSMUYjxovSUip49/kp\nnHDM5lrblq9O4/TLz6Vsu8E5fEI60VYMMmF7k35W8DgT+emyZ9D79q8Stm0kJNhwucx1ek0vXZrH\n6ad/yX03f8ed10eL3jptKLdOw5DaNPxA/iYCBowsiGNjjetYN5PGr8nlWBpxp6JpOsXFfgoKfBQW\nequXNUXxmsvKyr/OuiItzUFWVkKVCB5fFRkeFsMtNgvZj8azpzxyMXjoFC83jqrf+uhw5p6439ml\nRH7jbq3sR3YopbosFeRh/m0mpjkzwskvS+qf8bE3S9VsUq4dh+uSMzDSRWCBQCAQCARNASF4CwQC\nQRNh40aZwYPjq8tpaTpr18bmXbvUXMBzruXV5QzNwcTyYQfcx5bIO/Ms/POLSJRcVrLGwrtbdqTW\nB14LN5ZFjlnB4PeUcjqbmo//69uvv8v14+/Abo8ojHmF8YTifsUZ175BbVi++BDHvTch6dHHveOi\na/nwgy/wFRRErW+dLXHeuwauiEaCKvXCY34LXe7WqP4vMxfwvn09hbKP+G8W0fbOydg27K6zbpIM\nw+xhcdPUgs/LmoQMmWVaOr+H2vK72o5fQx3YbTQscj452c6pozO4KKuQI3fPxzHrh1pWNXuju+MI\nnn4ugXMvYautDWvWFLJm3hpKp/6PxK2/olC38F05tCvbn78U76DOlK/0s/K63RTPbfjsEEnSuffm\nJTxw6w+YzdGvEdIS2BN4DcU0jN/uuYu1H31Ua/9j7DDSDjgceJ59i9CxJzbodRcs2M1ZZ33Fv2/5\ngbsmzI3apkk9qLB8hyE1bNDo72RewMQpe+UhuM/t4zbXofPy9vlUiorqFsPrWtYV4X8wSE93Yh54\nNNtTBkXWuUIsuL0Et/vg+4Y3d963r+Nn247q8vH+dlzgq+e6resoa1Zgnv1LOPp72cIGJb80JAl1\n6EiCp55F8IRTwd242T4CgUAgEAgOHkLwFggEgibC1KlmLr44YsEwcmSIKVMqY2prsn09P9m2V5eP\n87flIl/3A+5jS+TEF938sTViI3P3CT7uPL55JW1sDAEDBhXEsaNGVOSF9gAvJDQf/9Hp0/5gaJfx\ntG8TiYQOBBV2B78iPvmoBrVhffd1HI/cU2v9zmvv4KNJ7+PZsydqfbcT4MyXwVIjV2FQPgOP+SWQ\nGu6hXCT5mexYzxJLAZbcAtpf8wbxPy6vs65LglGOsEf3wfTn3pugIVNgOCnQHRTqDgoNB8WSC0tq\nK5JaJ5KQFk9CWhxJrRNITE9AMSth8ScUAlVFUkOghpAqK5HKSpDKy5BKS5DLS5FKipF370TyHfj5\ntV7OYKonkx9DnZgT6tCgCHCrVeG4Eelc3bWQ0eULcc6ejuTZ93V1arALj/tGME8ND5zEU8oI5tCf\npSjULV4WXTySnY+fT6h1EtveKWXtnXkEC8MCdlKSjQ4d4mjXLo727eNo395N+/bhcrt2blwuC4q+\nAmfoKhRjY1S7Bgo+03/wy9ew5KWXmPvgg7Veu58VTnWCrMh4//sywdPP2e/7AjB79nbOPfdrnnvo\na665aHHUtpA0lErLFyA1/VlBN5Q6+NAX8VK3YTA3pZyOTWAAzzAMysuD5Od7yc0tY8uWMrZsKWXL\nllJycsrIzS1HVQ+gn1Y7jL8VTDW+Cz++T7qeV+0R/qdneLduSXTunPC3W9P8XSwy5/Oia0V1ua3q\n4tGKIfvYowYV5Zjnz6myP/kFZce2/e5iWG2ERp9AcOx4QiOOBUvjvdoFAoFAIBDEjhC8BQKBoInw\n9NM2Hn00IpxdfbWfiRNj85G+O24eu5WIwHRzZT8G1Ji6KwiTUyhzxOPxUeuW3FtGZqu/Xyg5VLzh\nsXJ3eUS1tWCwKLWMtkrz+HneuGEPobwxDB+0NWr91tIniU+/okFtWN97A8fDd0etMxSFXbc9wMcv\nvFbLxuSIi2HMoyBHxgjwKf/Eb7oHpIaJRwYGsyw7+cixkYARIuXV6bS56wMUT237ATMw3A5D7TTK\nmmFflOlWVmqpbNBasVVPIEdLJEdPIEdPZLfuomu3ZAYOTGfAgDQGDEijR49WWCzK/htuCIYRFsB3\n7UDetT28zN2CsnEdyoa1yMWFjW4ypFhY7urO5JLOTC7tRJHh3P9OgI0Qp1k3cr17KUfvJS7vzexQ\nex73jWBaqDMgkUAJR/FbvcK35rSy554zyLv9VMxYGbW9DSdbMol37zuxZTVGJc7QDVj0b2ptCsjn\n4DU/w4avfuCnCRPQAtHnTUcTnBMHFlnC+8izBMdf3KCX/PnnrVx00Td89MrHnHHSuqhtQfkUPOZ3\nQDpI58EholiXGFwQR5Ee+S6OsoT4PKmyyc/UCYU0tm+vqBLBI2L4li2l5OaWo2kNuC6POB0694uU\nt6yEX7+ss6rLZaZv3xSys9Po3z+V7Ow0OnaMRz6UI2pNBI8UYkL8rxg1DvXF0pHEGY0Uog0Deetm\ntr07i93v/MSx5l9QpH3/Z9ATEgmddDqBsWejDRjcKOsrgUAgEAgEsSEEb4FAIGgiXHWVky++iNx4\nPf20h8su278H7d5USkEmJMyuLsuGxMulR+PAtI+9Dk8m/mjjiemRQYbBmSo/3Lhv64PmjEeHAQXx\nFNQQhq52+JkY3zwSdFZWBvntu3GcNzbagiG38CLi2j7foDbMU7/AedvVSDWy1BlmC7vvm8jH/32W\niu3bo+ofcRGcPDGiTxiY8ZqfJ6ic2/B+S0HedqxlsaUA6/qddD/veUxLt9aqJwH9rXCM48CSUW7S\nElmktma5ms5KLZUVWhrb9Xhq/n1LTLQxalR7jj22A6NGtSc9vWGC8aFAKioIi9/r16CsWIJp6UKU\n7VsbvL8hK2xr34/vTdk8uSadnIqGCVid5CKusi3hcutSUuT6I9CXqWk87DuahalH0rNXMr1bB0lZ\nOhn/stl11vf1bEvupGvxDOlK11ACV3l7kqo76qxb+2AMbNqz2NRHkYj+y6xKA6i0fMTOBZuZesEF\n+EtKora3NcEF7rC/u/eBJwhceGWDXvK77zZzzTVf8+OH73LUkdHnv1+5Ap/piSYv0H3ktTChLPoc\nnpRQyRn2v85v+2Dzpxi+eXM4GnzLltKq53uJ4ekd4KRLIzuqKnzyNAQbNlMpLs5CdnZqtQjev38a\n7dq56/R/b+484F7AVlPkN/76yt4MDqXH1FZFBWRmJpDGHs6xfsKF1skMNC3e735a2/YETz2b4Gln\noXdunBWWQCAQCASChiMEb4FAIGgijBzpZtWqiCg9dWoFw4Y1IgNaFetNJTzmjtx0tVNdPNLQabuH\nEYYBAx+PI6coEr34zFkeLh3a+EGG5sJzlVb+UxER3hySwZKUMlKbQXS3YRh88s4dXHf+21Hrc3cP\nIC5zGkj7H9AxzZmB65rzohJUGnYHux9+jk8eeozyrVuj6mefA6c9HQni1knEY3kfVW64H/4aUzFv\nOFcTKspn4LWv4Z2yBE2v/X5nmuAkJ6TGMC61PqEb3+anMMfflt/VthQYrjrrdeuWxOmnd+G44zqQ\nnZ3apK0NpMJ8TMsWoSxbhHnBbygrltTyWq8LzZCYFurMpEB/pga7EmrAQJ8FlTMsa7nFNp8h5p31\n1lP7HYHvzodQjwx//ttmzWL2vfdSvG5drbqGJJF/yxh2PXwOZoeT871dOTrYGqmBf6FN2nRcoauQ\niB6A06QsKs2fU5yj8fX48ZTl5ERtz1DgwjhwyOC952ECl09o0Ou9/fYKHn3ke+Z89Q69ukV713tN\njxAwXd+gdv4uDAPGFrv4LRix9minaCxIKcfW8nRbQiGNbdsqqkXwiRsHUU6N7/3872HtwpjbT0qy\nkZ0dFr/DYngqrVu7mr0I/ol9I9/bcqvLRwfacLm3R8ztDRsWx7p1kf8QP7+6mGG7PsLyzecoO3L3\nsWcYtVc/gqedRfCUcRipsQnvAoFAIBAI6kYI3gKBQNAE0DRo2zaBQCByed20qZSkpMZfMmdadvA/\nZ0SAGRxM43pPn4PSz5bEghyFk16KJJSyKAbrHiwjwdEyf6bKdIns/DjKjIjIeZvTx31xzcOv/LOP\nvuCSMdditUYS++UVpmJpPRfkVvvdX1m+GPfFpyN5PdXrDJOJvP++yieP/JfSTZui6vcdB2Ofi9iY\naFInKs0fo8udGtRfFZ0vbZvYsnw6o178hu2fLWZXqPa5ZZHgeAcMsDYuFSSGAAAAIABJREFUiLYo\nszf/0Y7n9WV2Avvwsm7d2sW4cV05++xu9OqV3GwFK6msFNO8X9F++QnT7Bk4S/bsd5983cF7gX5M\nCgxgndYQSyeDl8+zcnn5j9jm/1pvreCoE/DdcT96lx7oqsqqd99l/uOP4y8urlU3kJVG7pvXUDG6\nN/1Crbjc05MEo2EWJ7K+EVfowlq+3jqpVFo+paK4Nd+eey55S5ZEbU9T4KI4cMrgu+0+/Nfd1qDX\n+/e/5/D1V7OY980k2rWO+OMbyFSaP0dVjmlQO38XG1WZ4QVxqDVuUx5ye7nRVds2qKXxzM82Hvkh\nMlupa3KAhweuqbZH2bixhBUrCigujv16n5bmiIoEz85OIzW1gTMXmggrTUU85V5aXU7V7DxZPjzm\n9m64wcGHH0a+z/ff7+WWWwJgGChL/8Dy9WdYfpiCXFL72lATQ5ZRh4wgOHY8wX+cLJJdCgQCgUBw\nEBCCt0AgEDQBNm+WGTQo4iWdkqKzfn1ZTG19YF/P9BoJK0/3ZXGGP+uA+9jSuPdrO6/NjiRkO7Vv\nkHcv8exjj+bNoxU2nq6MCCJxks6y1HIS5Kb/szx//lYyzGPI7hUROb0+CxXW6Vgcffe7v7x5A+7z\nxtQSHUoef4kPX3ydwpUro9b3OjWcoFKuCg4OW0l8iiElNai/BUYlc+a8wfBXP0GZt5GvKsFXx9vc\nxQwnOyG+ERbJ8yc8x43f21i0qH7B1+k0c+aZXRk/vhtDh7Zptv68um6wcWMJCxbsYsGC3SxcuJtN\nm0qB/7N3nuFRVG0Yvmd7ks2mESCh9y5VamjSFBBBUKpKR0HsBUSKIiL4IVaKqEiTXoI0KdKLghB6\nL6FDSEi2ZevM9yOQYdk0ihLj3Ne1F8yZc86c3exOec57nleiojqBjrojPKc7QhXN9Wz72i6U4itX\nPRaZSyKRdWR7WJiBT54z0jNlDQEbVvrY39xGUqlwdexG6tvDkSIicSQns234cI7MmZNhn9dfacnF\nCS8SqA+il708j7sL5OgzQDJjdPdEK27yLcaIVTsTm60Gyzt35soff/jsz6eGF01p1jj2d0fh7P9a\ntocSRYmePVdx5sROdiz/kRCTLBSLhGHRbUBUFc/ZuB8RQ1IC+N4un9dNgsje/GbC/wXnuQfhcorA\nY6NDEO8wqN70ppnHCssThJIkcfGihX37rrNv3zXi4tL+NZvvf1VTdLQxXfxO+zc/4eE5T+L7T+PE\nyyuhm/AK8vdhQkoD8on3N+bp03W8/bZspdO2rYuZM++6j3C50G79Hd2vC9GuX43gzHrSQdIbcDd/\nCtfTz+Fu+ISS7FJBQUFBQeE+UQRvBQUFhVzAqlVaevSQlyPHxLhZvtx6X319btzLIa0s7A20VqFO\nTsWV/xAx/wvmyBXZ7uDnl6y0e+zf6/eaFQlegRoJIdjuEEM+DE7lLWPuj+6+etXGb4te4o2+v/uU\nn0n6mrDoHtm2F65cIrjLU6gvX/Qpt30whqWbdnH61199yss/BZ2mgPpW0LRHqIVFtwiEHETcOVK5\nGfsTgT9OIv+ZK2xMhW0Z2KMHCPBkEFTR5Syq21OhCrs7f8D7C2xs3Xox03pFi5ro1+8xevSoREhI\nDhMl5iKcTg9//XXtDoH7KjdvZv8dLadKoKP+KJ11h3gsG/HbW7wUlm79WKx9nKmzTrJ7d+YTB+Hh\nBj7qno/eVxYTuHF1hnXEkFBS3x2J67kXQKXi/MaNbHjjDT8veIDUykU4M/9NHBUL09JRhM6pZdBk\nI74DILkIdL+KXlzkW4wWm3YSttRWrOjenYtbt/qOXwUvmcCkBtsnE3F1finbQ9ntbtq1W0KB0K2s\nmPkLqjuG5xEqYtGtASFjy5zcQKIoUPO6CfMdK1kGBDoY+y/JU/AgdP7ByLqj8mqPvg0cjH826/ct\nSRJnz6awb9914uLSRPD9+69jtd7/tbBYMZOfHYrJlHvOR58a93Bcm5y+3cdWkUau6Pvqa/9+NU2b\nyteGqCiRw4ezCFawmNGtXYFu+UI0O7dkOJl2J2JYOK7WHXC164S3eu1c76WvoKCgoKCQm1AEbwUF\nBYVcwMSJBkaPliOM+vZ1MH78/T2gvxmylSSVHJk3JqUuhcXcK1A8ChIsAuVGhaZvqwSJUx/nXTuT\nD8wBTLHJUY+RKpG/IlMw5l4LZyAt4vSDdz5n0uhxqO/wGT937UlCiv2SbXshJZngrq1Rn/T1WE59\n5S02OdX8+fnnPuVlmkHnH0F9K6DOI9TGoluQrdgtJCWin/MDqtnfo0+6iVWExRY4l4EFfxkttDOS\no89eLBDFqW5v8+rGMNZt8BdQbxMTU4gBA6rx5JMlHokvt8fhwHbtGi6LBbfVistiwWU247JakUQR\nQRAQ1GoElQpBpUKl06EPCcEQFkaiXcOu/RY2bE9k67bL2Gz3LrQVKmSkTp1o6tQuyBP5kqi0byX6\nlYtRWcyZthFDQnG+2J9dVZ/lu9lniI09hceTsUd4RISBzzsZ6HZyNvr9ezL+DGrUxvbxF4jlKuKy\nWtn5ySfsnzYtzVz6zuMG6Dj/TW8SezeltDeUQdYqhEuGDPv0QRIJ8IzA4J3kW4yAXfstdld7Vrzw\nAud/950YilRDTxMEaFTYvvwR91PPZHuo69fttGy5gG7tVjL2gw0++1yqdti003O18Pa1Vc+oO3IV\naJDYGWmmlCZ7D/h/M8sPaOk5Q77WhwSIHBmZQkDmjkcZ4vWKnDqVTFzctVtC+HUOHkwgNfXec4rc\npnTpUKpVK0BMTCGaNi1KkSKPzrJjqeEMywLOpG8/iI+32w1Fi/ra0R06lEx0dPb3EsK1K+hWLkEX\nuxDNkQPZ1vcWKY7r6Y642j2HWKrsfY1XQUFBQUHhv4QieCsoKCjkAgYMCGThQjkC6vPP7fTpc+++\now48DAjblL4tSDAt+Qm0OYki/A+xZJ+WvrNlYaB6EQ8b3rBk0eLfy01RoNK1EBx3XLo/Ndl5OSj3\n+9r+9OMftK3bg3KlEtPLUiwRSPl2IwmhWbQERBFj/y5oN6/3KXY+/wJxtZqwpk8fn/ICFaF3LOhu\nrU73CHVuid3BmR5CFX8G/fTJ6Bf/guBIm6CKd8MiC1jvutsRgCcCoYEhe61Q0hswvziQUUl1+ObH\nY3i9Gd86PfVUCd5/vw6PPZY/6w4fAo6bN0k4dIjEw4cxx8djuXQJy8WLWC5eJPXGjQfuXwIsBHOT\nsPRXMqEkEsE1CuAmbRZCrRaoUiWS2rWj0l+FC2fwN0q1p0VSzp+JdveOTI8rmkJw9nyFsy2788OC\neH766SApKRn/NgpFB/Hz816abpuG+uxp//eg0eDsNZDUwe9BQCCXd+1i3aBBfoklAZK61Cd+Sn+C\ngkN4xVaFSp6c2eXoPd8S6Bnhe9zborfnWVb36sXZNWt8x61JszfR6rRYv5+HJ6Zptsc5diyRli3n\n88P/5tK53WGffamaYTg0b+dovI8ChwR1Ekxc8MpeQU8bXMwIy7uWVQAuD1T6OIREm3y9n9bdSsca\nD75yyeMROXEiib1706LA4+Kuc+hQAi7X/U0ilCoVSpMmRWjcuCgNGxb+R1ekHNDcYEJwXPp2UY+R\n0Q+Q2LtVq2B275ZXi82aZaVNm3v7zFUnj6H7dRG65QtRX8p8cvM2nsrVcLV7DlfbZ5EilRV8CgoK\nCgoKGaEI3goKCgq5gCZNgjlwQH5gWr7cQkzMvUdTnVWbGWX6M327gDeQ8eb6D2WMeYk3FgYyc5f8\ngP1aUwej2ubNJe/fWPWMvCPaMVolsid/CobcG6AJwLlzKez8rSsDX9rlU56ino+obZFte8M34wj4\nepxPmatFG872eYNF7drhSZX/3oER0G81hBZO23YL9bDq5mUqdqvj9mD44Ru0a1f4LEk/5IRlVvDe\nVd8oQMdgKJ6DSEvXE0+yrO4rvPG/E1y5krFA16RJEYYNq0fNmgWz7/A+cKakcHnXLq78+Sc3Dh0i\n4dAhbFeu/C3HygkSAkQUJrxSFUo3rEXhx2tQsFYttIE5S5inPnwA/c+T0a1YjODJ+LwqhoTi7D2I\n6x16MWnGCSZPjsNiydjbOKZufn6ud5aSC79DSLX77feWLIPtf1PwVqmO02xm0zvvcHzRIr96jjJR\nnI59F2f5wnRKLU0bZzGEHNxi67wLCXQPQkB+L7dF71RvR1b37s2ZVat82pTQQrdgUAcFYZmxFG+1\nWtkeJzb2JIMGxrJj+Y9UrXTN51hW7VI86kbZ9vGoWJyqpV+y78qmVRFm6uru/nXmLYbFBjD5jtwU\nzcu7WdDv/uzRssPl8nL0aKKPHcqRI4mZrpTIDJVKoEaNAjRpUpQmTYpQq1ZBdLp7SGxwj1gFF4NC\nt8jHlwSmJjdBx/0dc+jQAKZOlT/zN99MZfjw+7QLE0XUe/9EH7sA7eplqFKSs6wuqVR46jdOS3bZ\nvDUYM5+gVVBQUFBQ+K+hCN4KCgoKjxivF4oUCcXhkE+tx48nExl576fL7borfB8kR+NVd+XjDVu1\nhzLOvETNT02cTZQfbhf1t/BEuftfrp1bESWolWDi3B2RjiOC7bxhzN3R3aIoMXr4p3w5fIJPeZKj\nO0LoN9m212xeh7FfFx8x2lO1Jle/+IF5T7X2EW9VWnhpARStk7btFhpg1c319ykWRbQbf0P/w7do\n9+z02SVJsNMB6/y1T0po4Nng7C1MxGAT8QNG0Oe3MDZuyjjCr27daIYNq0uDBoWz7uwecZrNXNqx\ng0vbtnFx+3YSDhzws+LIbai0WgrWrEnhmBgKNWxI1OOPozFkbQ0iXLuCfs6P6H/5KVMhScxfkNS3\nPuRak/ZMmrKfqVPjMvQzFgR4o2N+PnYvxbhtnd9+SaPB8ep7OAa8gaRWc3TuXDa99x4eu++XxGsK\n4Mzc1zG3rkGMM4pe9go58vXWepcT5O6bgej9HXZ3e5Z37uzn6V1BB52MQFgYlgW/IZYone1xPvxw\nK6t+/Z3dq78nX7g8SSRSELN+K5IQkW0fjwJRgpaJwex1yxPJtbUeVkdYcrMbywNz5IqKmP/JCbC1\naonjo/45u67UVA+HD9/wsUM5fjwJUcz58YOCtDRoUIgmTYrSuHERypcPR3jIf7R3TNtJUMvf5+Hm\nWpT2ZrNqKBMWLdLSv798vWjc2M3SpQ9hksHlQrtlPbrlC9FuWIPgyvq6LRkCcDdvjbPdc2mrOLT3\n6GWjoKCgoKCQx1AEbwUFBYVHzNmzKmrWlB9QIyJETp7MIulRFiw0nGJFwLn07TaOYjyfWuZBh5in\nuJCkouoYX0HgzOhkgnJPTq2HxjqHhs435YgvHRKH8qeQT527L8VzZu+kXb2uFC0kezAnW6ORInZl\nmzBPdSGe4A5NfQRNMTwfSfPXsKjfAK799ZdP/XYToHrXtP97hGpYdMt9j+HxoFs2H8O0r1GfOel3\nPFGC3+zwZwYBfQ0DoEkACGoVYqmyfl7it3E1as7U8v1494sTOJ3+EaiFCwczdmwjWrcu+dCEH/v1\n65xZtYpTK1ZwccsWxEwin3OCoFKhi4jEKQSQ7FCTaBFwSDqc6BFRISD5vDR4CCD11suBUe1A632w\nFRZqvZ4ijRtTqk0bSjz1FIH58mVe2WLGMGsa+p++y1T49lSqSuoHY7hWqjpffLGbadMOZBi5GhFh\n4JcXVDRb/xXqK5f8+6n+OLbPJyMWK0nSiROs6dOHG4d9LUIkQeDSuO5ce+dpKnrCedX2GEFS9mJV\n5qL3JCy2p1javj3X4+J82lTXw9NBIJYsjWXhWqSQrEU+t9tL+/ZLCVBvY928mT5JLF2qVti0v+Ra\nP+8dTg1tk3wjXpeGW2isz3uTm7eRJKg73sTJ6/Ik57edbXSrnfFqhX8Cm83NwYMJbNt2kU2bzrN7\n91Xc7pxHgUdFBdG4cZF0AbxAgaAHHtOkoIP8oZNXLXS3l6Wls+h99XXmjIpateR7ipAQkTNnUh7u\nz8JiRvfbr2nJLndtzUGyywhcbTrg7NITsVzFhzgQBQUFBQWFfw+K4K2goKDwiFmzRku3brLAVr++\nmxUr7i866Kug/ezVJaRv97NVJMYV/cBjzEvM+VPH4PnyA3P9km5WDPp7lnw/ajonGVnnlIWzzgFO\nJodmEIaci7hwwczejZ3o+bycHFAUBaz6X/Gqs7HncaQS3KU1msP704sklQrrjKVsWLaS/d9/71O9\nbn9oNSrt/16KYNGvRRIK3D4o2jWxBHw5FvXZUxkezi3BUiscvUtLUgHPGKGKUYfr2a6I0YUxTJno\nZ38hBRm58upIXlgdzu8b/aO6NRoVr75anbffrk1Q0INH69kTEji+aBGnV6zg8q5d9xTFrdJqCS9b\nlnyVKxNWtizBhQuT6Alm0z4HyzYkcfpszn9DRYoE07x5cZo1K0rDhkUIDtbhdbmwXLxIyrlzmOPj\nMcfHk3zmDIlHj5J82t8vOysElYqounUp1aYNZdq3xxgVlXFFixnDjKnop09CZc54ktH1ZDvswz7l\nhCWADz/cyrp15zKs17FVFNOiNhH261y/fVJgELbRE3G364TH4WDj229zdK5/vcQeDYmfNoAobRhv\nWasRKQb41bmbNNG7D8IdRjoSamza2aTcrMniNm24edJ3oqZZIMQEgLt+Y6w/LMg2EvTqVRtNm85l\ncM9fGfa6b9S4XfMZTk3/bMf5qLj7HNhA5+bXiLx5vr/NmNUGJqyXvzstK7iY1zf3+JdbrS527LjE\npk0X2LTpPMeOJd1T+woVImjSJE0Ar1+/0H2dG1fr45kXKP8u6jkL8rK98j33AyCKUKxYKDab/Hh8\n9GgyBQr8PY+8wpVLcrLLY4eyre+OaYqj90A8MU/k2skpBQUFBQWFvwNF8FZQUFB4xHz5pZ6PP5a9\naHv1cjJhwv2Jku+bdnBVLbcdaX6ckt6QLFr89xgwJ5CFe+Vw7vdbpvJ+q/v028zFnPOoqJlgSvM/\nvsXaCDO1crGHrSRJDHn7K6Z88rFPJGmCvT+a8M+ybR84dDD6RXN8yuzvjuJkmSos69jRp7x0U+g6\nA1QaEDFh0a1GVFUASUKzeT0BX3yC5ujBTI/lEOEXC1y4K1hUL8BzkQYK9eqH44V+GKZPwvDzFL/2\nnkpVWdnpY/p8dJTERP/vX0xMIcaPb0L58g9mGSGJIuc3beLwzJmcWb0a0Z2zZGoRFSpQqEEDCtaq\nRb5KlQgrUwaVVsvRo0ksW3aS2NiTnDx5857H07JlcSpWjMBg0BAebiAiIoB8+QKIiAggf/5AIiIC\n/KLYnWYzNw4fJuHAAa7v38/lXbswnzuXo+MJKhXFmjenYrdulHjySdQ6nX8dcwr677/CMH1yhrYB\nkjEY+zsjcXXtyboN5xk2bAunTvlHhptMOua8oKL12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ScNqVMnKvskmpIELgsqRzKCMwXB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\nlrnuO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hnHoOzpA08f6WVi4cupX/k7gX+8yT27Ogh0d/NJQtc0486StjbaPvxQmHfewLNq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\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GL79k8fjj8YLw5MkWunRxsW9f/idQK1KVjLsWEKzcUSiXQl6csx7E+sdbuUmbLwUlgk1o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lq1/CxbFiobEQ7nyZP82KRJWIkHb7F87Fn3QVYSS6OQecVxF5X8sZkd3C4iX+iP6a/fQ8Zu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XZp+JdS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\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8sB/iGJ/IVVXGRRe1xahRXXHBBa3ZtuRkcLtge/5RWP87O2zKSE6B+4Xp0M4fEIPCiIga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\n8OTK73gYvlx1fJ4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"text": [ "" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using IPython's `interactive` function, we can explore how the trajectories behave as we change the various parameters." ] }, { "cell_type": "code", "collapsed": false, "input": [ "w = interactive(solve_lorenz, angle=(0.,360.), N=(0,50), sigma=(0.0,50.0), rho=(0.0,50.0))\n", "display(w)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": { "png": { "height": 459, "width": 734 } }, "output_type": "display_data", "png": 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yg7wCQMZIuS1S11qpa50a0r4WLZqmO++cqfnzR530qnzfSD/Jx/RvmYQ2DtBy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\ng7flmJTs3lD80GC8b1DeHaC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uPthRo92H9euusYz+sz6rW4eoX/cvf7lB/+f/PKZMMFwa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h7Vl3bTLHP4icfxFYXFV1VIJyCep+nzj0e1YvV77xXSXXYzME77PZ+bGxbyO/jO0nxWatiP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\nK9BtQdTaOcM7LsLkANkMR4DcXkUr3W7dtDkx8QAt/3t4Y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rBQDkA9sCc8yCFFx/dr+4pU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\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0qB3edUfo8HY0V1o3/cdZ8D6SSBN1kcqEkPkF16j6qyAuJ52sR0Km4K0jro40Sfu5vgzv\nSFSpZAcSdsXjltFkZnBcJXhHTSnxTBJBSneoCyC0aMPOlRXkGFNCn89kw16qFP4MeXrExsUs/wkG\nZ6c5vOMg+ZXvz5QHtCpGzspl5Uo9Qy2fpxplcAXqMhzhjq4Q7f0XJAmefVYpSDzR4hoCVUoXpt4G\nzlPchEc/zIcfGnn99ZQAZibC2vYnkRtSTRw1B+luB/6x84nmX4UitBqIRGRefDHK1f2+ou3sU3lr\nYzEPyA/SK7Aea+SP3Y/GuEhLzz7OiXzGM5XncN2rbSidNpnbxi7hiy9SOcIJ10h8o34l9PidyDN0\nkKU6TiTBe46pPNjyNgAkSWDI3bfx49BHyB6i7CtJoNtZwTdthnHAbv3Cq7m8m/0+uacp74t4Aup2\ncjDapNCyl9J5HyKNPy/DEV5XA3JN8meDTsS7YAm2MUWKj08UIbgr9bhKKiS9TqQsJsVtay4KR7uc\ngHANnFH7CUYpxvxdSsG7ZWgr6UHvXSeEYGVK8N4Tbk5wgFJFr9s/d1Pmzzu4LSshwhslkGOGwiyq\nAzEwc/DfxE0P0bf2Y+VnNL4Z7R57GOEQmd1Bwzp22O9EEpTjaW5kAs1C1yOQ+j0VE+az6+s1in6N\nxrv5FxcTJgu7ZOLUSFGDz/U/j9FJrM05BIZ/hHfiekI95pDIrj+3GkAXrcGy9UWcC4bh+HIEph1v\nkujdh+DcF/Au3Ejo9kdIdO7e4P7Gzb9y8vwb+FEawPYrn+KKidWYGphL+OEHkRkzQvTo4eeJJyJU\nV58YIqRsbEyk6Z1J4bvgdmSdI6OPPrYb265rcW4chLHuI01APQSjRjVi6dK+3HFH64zJalmGV17Z\nR58+y/j3v/c2GFH1R5CFHIKmFwgYX0JCaWwQiJCVuAN77Ax0UmkDR9DQ0NDQ0Dg2aIK3hoaGxnHG\nrSpc6dWnBKtuRqXgdTg53kVFLoil8lRrjZmFK48Uk9RU8Tiuq0DiMPI06kFAgD851uRYRZo41YL3\nnqMo1nkMUEeahA/jFBhklcNbqM/hrYo0kQT0eiEjC1QdcVIf9UWaxCTlaziUw9ssm4lGlecrGFdW\naSuMJc+DqHorsin1ekWVyKy3gexuhliyUbF9o709umjqfenMQKt2YDCzc+kObPrUa/H5bahj3C2F\nkGg7AoBVC/bRxZ7KB0+EdEge5UkyNQJD57aIzXrzzbcGtmxJ3ds5uiqmxt7KEMhzhkF03IPsq3Nz\ny8z0a1tmQbvTaBFSXZetQby9Cf4BixHtyrBqWZb55JM4fx38NZNf7sO74jn0DqzPLHB5FGSFI4zx\nL2be3okMur87jw5/iddejRKLyaAzEW16E/7LFyPObgrKeHYEGW6THuL1oukcELLHPngzSwc9hLOH\nsm88AW12r+CpVtcc3HbJnMFUj7sduzL9A78fwiUcdG9f4H6Gt1dOxj1ceVPF4/vF7P1D8BTXa3wv\nXY5dpc36qoD9c0dtdVuxdVC2B/Ym5xjsylX+BMuTsSaner9hUdnJBOOp85lrqqFJIlV8uPEAL6yr\nS8aTAHvDzQn3bKI4nufX5P+NpLQaDgY9LBoD34+FL09nywXtoD3QHoo9izjnc6WLW+zqJvjGQHrV\nmehX6WRsjZ0rQ1kwDjgF6AOth2xgu+0eZNX4kReeRkH4SoS0rxaifiW7115HzJO6psy5Oj7tfwUe\nkmP/6EgnLP9r2d1HiJxVQLTT1fhHL8I7dinh4hsRbc0b7G+oWYXt57/i/qgz1hW3oBP3Ep12Mf43\nv8X3zhIi0y9HctefF66rq6H1/Cd45tcBVJ19I89dto6CBupq7t0rM2dOlK5d/Vx9dYjVq08Q17Te\nQaTJLXiL1xBufD2yYM3sEt2KfefFODafgsH7lWKiSCOFxaLn5ptbsWxZP8aNa5TRXleX4KabtjBy\n5EpWrPDWc4Q/Tlw/EZ95KTHd2Iw2o/wjztgQTImXtXOmoaGhofGnoQneGhoaGscZteCd7vA+SSV4\nrz2MSJOiIjdEUlnEtQalSB0rL1fvctjoMGMU0wJpBZmY7sgFdHWON8c41uRYCd4neqRJC2ZXZgAA\nIABJREFUMHoYDm9UGd4cnsMbICtL2RAK/X7+a30O71hG0crUz9EMh7cVUEYwBBNKwdu5v0ifelW7\n1ZzakFCJxgYHSM6m6KqV4nCdyj1uzAUpv0vy+Ns3KNqiYTNq87OlGcTbJIvN6VZ+pWjzeFyEVJee\nrQNEe5wPgsC8eUp39+MtrsNfqzzH5iZgOrkHsW5TueWWLDye1Dm5u+BeToksUT5BIYi3NMHf+ysk\ncytFU2WlxOXTy2g1dwLvJc6mTeAQEzh6kJsISN2ciMNbkjijC4kpPUmceRLiqLaIfXKRWuih/rSF\ng7Twl/Gg5xbOe74jT536PF9/lZwAEK3F+IavIPLYdKinVt+50bdY3HEoepLndMxDMykddxlZqlSW\nSBTOqXqGqY3eBpJRKOP+fjf2c7phUF421FSCvH+I1AkyPdfcR+3I27C1U/bzeEDerzsbdCI1C9dh\nG64cr2MxiOxf6GIUEoTzVROMdckMeZtSnyZUmYo1iYoWFu4doWjvENl28Gd9gR97biQpegNl4aYE\neyjVS89+h3djnTKHvj6ctVXccMs56NOWb0i5ZgKfDQOHEVEfZKuo56eYkS8TJugDnAytJ5cwe8YN\noBpHF9dcytOVV/FKyMyPUQOVooAobCdqv4LSj5V9o2M6sU+fFHnzRBuDo61+9/X+/4jk6kjkpL/h\nm7Aa/4j5RIsuRDLVU9EVEOJ+LFv/hXPBEBxfjsK0/U3Etm0Iz3wQ71e/EXjk38QHjUCux5UvJBI4\nF33E5V9MoLTbmSy+bj7DBtQvaEej8NZbcU49NcioUQHeey+WnJw6zsiGbCJN78ZbvIpI3mXIQuYE\niSG8Dsf2s3FsPR2D/4d6jqIB0Ly5hVdf7cp773WjqChzAmHNGj+nnbaKa67ZSFXVkZkZ0pGFfILG\nVwkan0XCqWgTCGBL3Ig9fhaCfBSrBTU0NDQ0NBpAE7w1NDQ0jjPqSBOvzou0337YVSV4b0noCP3O\n9882bdwQTRe8j53DG8AsHcMcb0lZUEk6CvG8PjIEb/0RZnirHd67djXQ87/DkUWaKAXvRL0Ob+Xj\n+H49LCtLubLgSARvDDrUMku6wzshKI9pkA3oUIplgXh6XoSMXUyGYkuqA9stKTFfLXjr9wveJr8y\ny96kCtg25oCUk1RVndXrFW3WSCgjv9tUCInCPvh80DmoFLwtwWCGQJ5VBLGuUygrE1i0KDWRZSbC\n5MR7GQ5y90CIjJjNt4uMfL4gdS47mX/jHsscZedskG5wEOg1H9mknKxZtizBnNM+5tUdvTg5/DP1\nITtBHN6cyKzL8S34Fs/nFXhf3Ynv8dX4Zy3B/7eF+O/5Dt/DK/C9sBXvJ5V4v15F8JmHiM8Yhtgp\nCxqYm8sJeLnffzt97+vFPVO/p6REBJ2VcLt/ELjneeQLdBn7Dg3+wKrOPdHtt1v3vv8ZImcPx6wu\nBhmAF/TTaWXcDsD6DWbuK3+X3HHKAyYS4C2FAwlKPR0r+fDDljhPa0R6zHIiAf49HHRwT3K9wRrX\npVhVz+vby8HileZ4GLPKSRvYB5Zs0KXdgnICwtUwsfZjDFI8I8e7yK8cY1pfLkCvpDMzIZsI9VRa\nxn2bkysd8oVKDoksc/msK8iuTk18yoJA6PUByC2TMwN2vT9jt6bGPTzW4lpcBmWRu+cqrubuikt4\nNmjhRq+N8bUOBtfE2JZ1KZJcx/Z3lBf+vglDD/48PlyM/v/6VxFBRyJ/AKG+TySLXQ5+mXiTUxrs\nbqj5Bduya5JZ37/cii5UQnzkGQT++S6+z1YSOf8qJLuz3n2NG9cw9KNr+DYyiJ3XPcO10+qwZmqe\nAPzyi8jll4fp1s3PI49E8HhOAOHb2Jhw4Vx8nX9JFres59oxBFfg2DYB+7Yz0QdXHodX+b/B/2Pv\nvOOjKPM//p6ZrdnNJoSS0HuVDgLSkSbYu2A7C5xdTrGcnr3Xs9zZsHd/pwIqFmwUQUCKgNICkRJK\nAiTZXmfm98fG7D6zS8DAHajzfr14vZh5nnl2dnZ2NvN5PvP5jhxZn+++68cdd7TB5cp8cvDtt3fR\nr99ipk0rJZE4yLgYSSKmnI3PvoC4fGxGs1X7Bk90EDb1PdPtbWJiYmJySPmT/5VpYmJicvixYycn\nTZjVJA2/nBQV8mSd1kpKCNSQ+Hk/sSZut40CV0qU2HsII00AbIbClbGDyPGWtVbCsq4U13msbBiL\nVlbKIXR++w2Vq6gI2ZpylUUqK4kFArVs8d8lx+CmPZBIE6PgrUqZG1llQ6SJnlT/jIJ3MFiXSBMZ\nFVHUTnd4GyV7HR2pFoe3XY+iVE8MGQXvfHtKZFMNcxy/OrzdUVHwdhqqQ9oKQCtoTSgELbQ0wVsH\nS0BUoy0ekJq0AZuLhQsUBuWJed94xWNtrQ9S5+7onia8/4ENTUu9+2sKHydSIb4he2NQhgwk0mwQ\nt9ySulbIqMxuPQY5veicFfRJMoEB/0GztxbGeeedGD9fcStvSJdmzefWW1iITj0T72c/43t8JeGT\nH0Bt1BPk/TxZIklonlbEBk4iMGU6vre34f3oS2KTj0NrmX3bVr7tPLnxZErPP483XvSh6zrxgjPw\nT56FdqVDDHgHuvtXs7DLMUhoaLpC18c/xnF+ByyiMZ/KMp15zY+pEcfve7YjxQPvwn2U2M/rg0Sa\nsX3c7nsp6XsPucZ+VaClZXn/Mt9L7iDRYRoKQKL64ZQGSgXOtuJ7DuwAJHAZY03KoH6ighG+b/l0\n23ihrTmbydFSEz6trhHH1Bs4ibXMSy0nkqJ3I9kgeEeBSmAXsA2GfPg2A776UOiybcoIEselngSy\ny+K50cBSzuMtr6K+da+w/s09F/LO3guEdU4pyKstJtLctpVd8xKEdqbOTc1tJzi+GwCWaH1KfC1Z\nH5c5hCk6v28UO/EWJxE49gO8Jy0n3GUKmqNh1q5y3IdjwzTyPh1M7uzjsJW8g1ZUSPj6e/HO/ong\nLY+itm6ffdu95bSc/ghP/tCfsgk3MO3qdbRsmX3StLxc54EHonTv7uOuuyKUlx/+rGzN1pxQy6fx\ndf6eWP6pWftY/XPxbBiNq+Q85PCarH3+7NhsMtde25JFi/px6qmNMtq93gQ33VTMiBFLWbSoKssI\nvw1dakrA+h+ClsfRER+7kfHhil+OK34Bkr6fSTsTExMTE5MDxBS8TUxMTI4A8g5xrEnbZimBLcPh\nXVqKfhAuGrtmKFyp1D3eQ0qIgbeasq7OY2UjV7dj1VM/dREpQThLscb9ISsK7qbicTychSuNkSYH\n4vC2GCNNsgnehmFi1dqG0QFW10gTXRLXWYXJh8z3oBiK4qUL3r+6uyFT8C5wpAneho9byYGovQkN\nDI9Q24Piaym5oBa0ZsMGhe7uVamGOMQNh87WEBJNegOwef4m8q2pDNSQz07Y6O5uC/GOSUfve++J\nn8u1uU9g2BU8vSE65AY++MAmZH3f0vg+mgVF4Z4TIDzqPlRXP2H1889FaPTEX5iqTUMyaFZ6gUT0\nhrOo+qCE0HnPo7v2EfZ7oEgSWpM+BK94G++HWwk/fBNql0zXqaTBKaEvOPfVHtw9cQF792qo7v74\nJy5AvaEBhifg6e//ga86jQR0/JEc+r45l4Iz3MKpo+ugbC3nhVaX1Kw7/qGpuE9qJTqsdajYAVSf\nRm1yfuGr1wLkji0UC1NqECylJsv7BOfb7Oj3F6wGZ6z/l7T/2wuR0i7TagQiFZBjELxD5cmiqqfv\n/YDtwWb8uLdHTZss6bSNpgZt5SoBw2Sd0eVdtara4R0DxgC9gD7AWOAqyL16Dxc/eK2wzUZnXzb2\nF8V26x1xOAW4GBz3hHkgbyqNbeJE6Ye7z2Ba+eXCOoUEzza7lJ7OZJHKTe+IJ37g5F7o1bN1n+/s\nx+SqXI7Zk0frsnxO3uvmbp+DTyNWytT9X8/+6GjuVkR63o735NUEBr9MvDBL3k81lj1LcC26str1\nfTNyvJTYWRfj++B7/M+8T2zImKzbSYk4uV+9z6Uzx1Hc9QwW3Pg5o4dnF7QDAXjyySg9e/q5+eYw\npaVHgPDtaE+w9Uv4Os4l5hmbtY/N+ymedUNwbZ6EHNn0P97D3wdNmzp46aWjmDGjJx075mS0//xz\nkPHjV3DZZWvYtesgC4tLEjHLX/DZ5hOXBmY027RZeKKDsKozD+51TExMTExMMAVvExMTkyOCfLU2\nwVtU81YeQOHKzu3tkEi6YystTYhIqZuYeEUF0e11d2XbDQ7v6ME4vFWj4L2hzmNlQ0KiXkaOd91i\nTY6kwpVuhyh8VQTqEGmSpdioMcM7UePwFhvC4f0L3hnoOlaD4B1PUyoz3oGko8gGh3da0UqXGvx1\nWPS03dGABs6UYmzM95ZtsCNQRFOHQfD2GwRvF2gFbShek6ClMxUvoUXIiDOx1ge1qHtyuw0/iO8x\nZM0scNkc4h2P45dfZNasSSmjHaxryd2zW3iqW3GB/eg2RFsM5bHHUrZnj1TFba57xYHbQezs4UQb\nThZWv/5alM6vXMAZ0c8xog5tjO8/Cwmd+xxY3RntB43iIDLmJnxvlRB64h+oLW0ZXeoHvDxefDIf\nnXIXP/6ootlb4z9pAerfG2eI3scG5/BBh9MBKCkvYvL6jygwaIGxOJyy5zWG5X0LQOlOG095XyV/\nkNgvFILwL9ToyBN4kFVNbiK3u9jP6wW92sGdawmwcG4huV3FPoFK0KvPi6bKDnLaiO3BXeAoyIw1\niVTA2KovQNf5fNtxwjbNo6lzNN9WRT1rsiClrdqBnVG4cnUywzv3cY2eDROMHxWjbbvt0DAM6Eze\nczWeUMqlrVqsFF59Emc6l9F+0SbaL9pEh+838vfuM/nXiHe5o83HvH7GJfSOLce+N4ocVZP7+dp4\nnmp8PYyQ4FzgBuDfcHfs74zK/TI5dkxn8wfiNcY/ITkJs9XXkvJQalIloEvMj1l5IujkvEo3ncvz\n6VHu4ZJKF88G7fwQUzgCoqQPD4qNeItTCIycjvfEpUQ6X4Nmzyw6CCDHvTg2vEDerIG4vxyPdeuH\nJAYMIfj0u3hn/kBk4l/RXdm/49bVSxn47uV87h/E1hue5/oLfbizdI1E4IUXYvTp4+fqq0PJSKLD\njJrTjWDbd/B1+Jy4e0hGu4SOrfIDPGsHkLP1WqTY4S06faQydGg95s07mnvuaYvbnfl35v/9Xxn9\n+i3mhRdK0bSD+0JqcisCto8IWe5DNzzOI7MXd/wiXLFJSPqhretiYmJiYvLnwhS8TUxMTI4A8jWx\neKNXSQne3Q0O71UHIHi3bVuvJsdbkxRKHL2Fdt/y5XXdVWyGDO/YQWR4y1oHYVmXf0HPIsQeDH/E\nwpVN6onuuh1VMtp+DHeWA4g0sRsiTX41ctclw1sxqCWKP4ZNFtVnIY/ecP+sA7IhZzyspmy1bi17\nfncAOy5LSpHWDLsq22BnhZtmdlH0sFcZBO88K7qzAP9mschrKJJDzOjwbgBq4+7oOhRVLRHaLMEI\navo+yGBr5UYtPIovvxSjMW5udl+Guzu3O0QHXsknn9rYuCn1Ofy71ZXYomnKuwX08+2E2jwFacXr\nvvoqjuvpKZwc/Uoc2Aqxq4/H98RKtPrixNN/BUkmOvw6fO+XEL3yZHSDmCYndK7zP03i6tOY9VEE\n3doQ/6g5qFMLMTz9zmnh6dzR4g4A3lo0gk+a35ohMPv98EH+8diqg7r//vxQgiecg61A7FexG/Rq\nDbiBbS+rZ+zEPbQgI8s7XErNOToo+Db68X1FJ7gK4WqzvSzpWJqLFvBQ9VP6OYbkgPAeaBXdQvtI\nMfN2DRXamhlid5puKoUKaFY9ARPqk1m4skgvY8NNC/ju8Rf44PwpvHT0yawb1ZOd3RwMrHxX6N/t\n6DgXRm9n2DfvMOTdxQx5dzGD31vC6Vvu50rnBO5sdBJnzn+H3o/9TP97VjL4pmUMnLqc29ZOo3xq\nH9affxzfHDOZl/Lu5a28SUzKfQGlUgVVZ/uXcaJphVfVAhfB0UehagorysSnD7KxTVWYHrFxqy+H\nsXs9tCnL59S9bh7zO1gUU4j+CQVwLbcN4V534j1lNYFBLxIvzBR3f8W6exHuhZPJ+6gX9rVPozVu\nSPjGB6j64idCNz2I2qJt1u3k3bto/t6DPPLd0eyc+HeeumozDRpkTqjG4/DWW3H69w9w6aUh1qw5\nAoRvVz8C7WfibzedRE6fjHYJFfveN8hb0xdn6d+R4mZ0hhGrVebKK1uwZEl/zjqrMKM9EFC5+eZi\nzj57FeXlB/m3miQTtVyOzzaXhJT5edm0D/BEB2FRZ2fZ2MTExMTEZP+YgreJiYnJEUBtDm+j4L02\nsf+b/bZt8yCSupnb6BQFBv9BCd6FSHrKlZqQq1CluuVZS7oHSUsTbaQEulJS533LRoEhx7vOgrfR\n4X0YBe9cB+TnpBTuWEKizFe7y/tAMrzrG6JSdseSfybUJcPbkpsrLMveKHaDwzukpTu8M1O8E6oo\nCFvllMBb4/DOInhb0zI7dKMOYwVfwCbEjug6KFXi8ZDr54Ekkdglio5aTCZueE1rfVDrt6O0VKaz\nbWWqIQF6QOzsaAxq62NAkvnyK/H9nchHRI3xJ50U4l1P4+WXUsHteVIlEyRRvGQwhAfcKhSpLClR\nWXzjc1yaeE/oqjshfM/fCF7yxv7zuQ811hxCk17B//YsElliTkb753PM4wN49rE9SdF73FzU6xqA\nIULkDulujq/3MQDnvXk34RP6YDEI4+HSMG+0ngiApkmc9/6TFIwTvwfxOIS2QXUcPKfbnmNdmxtw\ntRPH8lYB1adM25wSFmwalpnJnXaqRCQPUtpLaTGIVoHTYM4NV4vtY6u+YKF9IJqe+h4003bgTMvx\nbrK+FN6EljnJqJNwT3EH/GvhqH+vomjaUFwzr8Sx6FmGNVxGR9cGNn4vnt+e+tAhU2PaLxZVxRnZ\nToPIj3RIfMEI2zQubnQbE0Mv0vBpH0V3VdHkhgq23yI+naGMaY87Fmbtc10J/i0XXgYWkMwXPwBC\nusTcmJX7Ak7G7/XQelc+p+x187DfwYKohcifSQBX7MRbnkZg5Ey8Jywh0vkqNHv9rF3l0A5yVtxB\n/oyuOJf/A0nyEZ0wGd+Mxfiffo/4wMwiggBSPIb783e5+qMRbB1/FS9dV0zjxpm/MZoGH34YZ/Dg\nAOeeG2TZMmNp4v89idxh+DvMJtDmLRKOLhntkh7Dsft58tb0xrHjXqTEwedT/9EoKrLz3HNdmDWr\nF126uDLav/66gsGDl/Dll3uzbP3b0OT2+G2fEbbcho74myizi9z4OeTErwHdt48RTExMTExMsmMK\n3iYmJiZHAPnGDG8lpQLUl3WapRWuTCCxNlG7yzvd4Q2w0XG00O5bsaLO+yqhYNOaCOsOJtZEUkWX\nt6asr/NY2TBGmlTWUfDOiDQ5jII3QPP6oui8bW/tP+kK+480KbSJY5ZFsxetPBCHt8UjipmKL4o1\nw+G9b5FeB1RN3Of0Ynq/FvQzxtFrSFjltEKvxkgTp4OIX1SV/bpTyLWWHUBu0gqsVIjntpyIi45t\nQMmT0XOLWL1KppMrLYc+QoYb3N4YEi0GEo3CggUpsbmFshlbpaFwZiPg6NGs31qP+d+lhIDHWk1F\niaftsBPU0xsSbTipZlUioXP/5FU8pNxl2AGI3HMTkeNu43CitjgG/+vriV4wAoPGQduqrUye3o9/\n3bUN3doI/4nfol3ugrTTUNJgesNTaW3bhI7MgFdmkX+8WM01kYBRez+kl3MZAN8sasQPHf5BjsHc\nWlUJejItBI/Fz5KPwuQOEydsolGIbqfG5Z2zYTk5fcTJgpA/VSS1sVJGTkvxdUJl4KyP6B4PQjwM\nY4Kz8XbPZ5Uq5qm0SItfaHL0Fli7kRauzUiaTrvd25HTKr8mohCrIIOyLVBuuFx1GwLy/h8WqhOx\nMGxYI15LLoz/yPP/mMKC4nGsaDqKF9ZP5dzH3+Sok3/CMj4ONwJvAatIFnrdDxEk5sWsPBhwcmJF\nLq135XPaXjf/DthZG5czrgt/VDRPO8K97sZ7yk8EBk4j3mhQ1n5SIoBj3TPkfdQL14JLUSpXkhgy\nmsAz7+OdvojIWZegOzOFTQDnnE+4+P0xlAyfzLs3rqF16+y/NZ99lmD06CCnnhrku+8SB1Ur5KCR\nJOJ54/B3mkeg5TRUe5vMLloIZ9njeNb0wrHrMVAPXyHqI5Vjjslnzpy+PPhge3JzxQvGnj1xzj57\nFTffvIFI5CAd/pKFiOVv+G3fkJC6ZTTb1TfxRAdjUece3OuYmJiYmPypMAVvExMTkyOADMFb9qKn\nZTz0tIg3Ez/uJ9akVSsPUqwWh/eKFej7y8CohYwc74OJNcnI8T60gndmpEndMryNDm/f1q376Pm/\noXnBbxO8rbpokY3JmTf3RXZxzJ3RXx3e4tgHFGlicHgr3mhGhnd6pEmmwxtUTRQwbUpKPY5LSZVU\nMmwmo9fq8JZyHMQNed1hw+soOaDlJK24dp/o8JZj4oCyHWjQBCSZ3evLyLWkjmssZCFmEO9sDUFt\nfjSrVilEIqmdv7jwRcKGU9PVAWLdzhQKWyokmGh5S+w4ECJd7qzemSRPPRHmqcgEURiXITL1AiKj\nbuKIwGIndN0HhB/6R0bESYNAFVd9NZin79yKZm1C4IyP0c8Uz0NrWGVxh/4oJNgVKOTO8udxGwyd\nPi/MaDKOX5Xqc/59HZ6R4mRMPA7BrdS4vE/Sn2VLj2twiJc5vBVA9Wc0PP9btnQ6GUuaWK/rEEq7\nLFiLxAmbUDlICtjFyz2RPTCi6lusWox5CTHWpFUspVQX9dqBsmkto9d9yRUPT2Piyx/g8YiiYsBg\nVtV1+HmhuM7WysOP3Ubxn4IzmN/yXMr6DGZDvzZs6N+GDf1bU967MXu65lPZ0YO3tRt/4xzKpEZE\n9cz89Wz8XIzwFITHDS2q50jd+m56Or9mUtvHeHPs+fx0XjfCp+SyqWVv3l17KZfc9yJdx61GnqjC\ng8BnwAEkT0SRmBOzcps/h0F78uhWnsc1VTnMDFvxan+CIpiKnXir0wmM+hjv8YuItrsIXXFkdJN0\nFduWD/F8MRL3VydgLf0crVU7wrc8gveLnwhdfy9q05ZZXgAcC2Zz9rvHs67PBXx06wo6dcr+mzN3\nboKTTgoyblyQ2bPjh1n4lokXnI6v8/cEmz+BZm2a0UVWvTh33kfemn5YKz7InEX9k2OxyEye3Izv\nvuvHgAF5Ge0vvLCdUaOWsWbNwU8YqPJR+G1fElamoiP+natQSm78VJzxm0AP7mMEExMTExOTFKbg\nbWJiYnIE4NCd2LXUzakqJQikxYRk5njXHkNgt1toXhgGPanglFlb41NSjzyrgQCh4uI6729GjvfB\nFK5M/HcLVx6qDG9PixbC8uEsWgnQzODwLq2o/SfdaciJD8uVwqQKQJFdXC6LZo80OSCHt1Hw9sWw\n/CaHt46QCQHYlZQzO/Zrm2EIBU10eBt3NcdB3C9WkQzLouAtWUCvFrxzIjvF7aPigIobtHpJ96C6\neaPYNWrNcHhbG4DaqAtLl4nf4dNyPyRiiDNxtJSItzmWGTNTx+EvDV7Bmd7RAtoJ9YgVnFGzassW\njfx376FpQFQKE6d1J3zGPznSiBx7HYGX3kNrJB6Ten4/13wzhH/dvR01pyfBv76CPljctqF3L+92\nPBuAx+ZeQMWwASiG+BPrtt1MbfIIADt2u/gk9wFc4oMlgsu7kW03cz9x4elvnOgBdU9qee2PBbjE\nywKB1IM1aDYnUtpXJxGGmD9LrMkecMeCDNy8kPkJMZe5WTB1bW0UrGDuCTdz7uvvU7gruSO54tea\nQCVoznwWBvpzb8mtXPf1dVQZBOMpk77iuKO+5KyO/+Ghni9TcsblfDdxAN9NGMC6Ce1Yd0Fz1lza\ngdWXd2LltV042/0uRaVlOHZEuLZ9Od5rluO95Asqzx9C1Sk5BIY5CHe3EWuuoLlcrPhZfL0eXUCu\n5fJkIUob6wrObvESL46cxOqzuhMcns8y2wge+eTvnHTpTApP3QV3AJ8Au/Y91q/s0GTeDNu5qMpN\nu7I8jtuTyyN+B8tjCgdZb++IR8vrQKjfY3hPXk2429/RHA2z9rOWL8Q9byKeWcdgK34VPcdG9Pwr\n8H20lMCjr5Lo1D3rdrYlcznxjdNY1fEcvrp9Cb16Zv9wlyxROeecEMOHB5gxI46qHk7h20qswQV4\nu/xAqOn9aJbMYyInduHeMgn3xlOQw+uyDPLnpnlzBx9/3ItbbmmNoog/vGvWBBk1ahkvvlh68BMc\nko2I9Rb8ti9QpQ4ZzQ51Gp7YMBRt8cG9jomJiYnJHx5T8DYxMTE5Qqgt1qSHVRQKD6RwZbs2uann\n2yUpM9bkIHK8Mx3edRd/jQ5v/ZA7vA9Nhre7SRPBThzctYuEMXD5f8hvjTSx6S4UPWVHTUhR4pJo\nKS60Z480qVdPzJw4kGJViiHSRPZGsEii3Tld8FYMbq6ElMgUvNMiTWLyvgRvg8Pb8CCDZHeSMFSG\njGYTvJ3JSBNrPC1mRAM9Jt7MW3JBy0s6Ii1lm8RxoppQTFRSQGlagO7M54cf0sVdnVb+YsFYqDhB\n7tGDlRsK+OWX1LGZ0vAJ8Q11g0jna0BKfUaP3lLKtdKLQjetnQP/jTMzLfFHCImOo/G/8S1qS/Gz\nyPf5ufyr4bzzciXxeicSueFvYMjXPj38IafU/xCQGPnm/1FvjHguRaNwq34rLin5WV7ywiTcYxpl\nFKYMbqHG5T0m/DyBgSdhEedtCOwCquc8esdmYx8iVsGMhuHXU6bA4sUhPhiSjDXJkuOtazB23RcZ\ngndTfSc2LUanVeu5/JGXGORYI7S7DW5xfxPYdumnDJn9ErdtvJcGJaIotNAzgk1tU78FVXEJqfp2\nIIcg+XiF/luKx/LZnBOrlyTceW60eq2Itl1LqM8agsOdeE91UXFxLhVXT6DkhNm7ryVDAAAgAElE\nQVSUGgRp6bRuhAs7oVsyHcf7wkGA3u45TO3xIDNPOIVd4xqzo1Eb3px/Medf9TrNT9sKtwEfATtr\nH0tFYkncwgMBJ6P2euhansf13hy+jlqI/YHFb91Rn0i3G/CevJJg/ydRPZniIYDiK8b1w3XkzeyO\nY9UDSPEK4qNOwv/Ot/ifepdEt+xh79YV3zPy1bNZ0vgUFt41j0EDs/8GrV6tcfHFIQYODPDOOzHi\n8cN40GUH0UaX4e2yjHDj29CUTMeyNTAfz7qhOLffYcacGFAUialTWzFrVi9athS/z5GIxo03FjNx\n4mr27Dn44uOq3BufbQ4R5Sp0ww+9opeQGxuPM34H6JHsA5iYmJiY/OkxBW8TExOTIwSj4F0hp8JY\njQ7vn+MK+7tnbNdOzPHe5BQFb/9B5HjbtWbCclSuu+Ataa0hrQimLu9Cl7y1bPHbyNecSGnHyi9H\nifPb8yYVmw1XUZGwLrC97s72g6VZwW9zeEtIODVRnAvLYuBvpuCdHLNZM1GELC3dv9CfzeGtyOKN\nabrg7TBErkSkMLK070iTXx3emZEmGlYp9flKhsOi6zKJoCj0xyRR0JcU0K05aBo4SRM8EmTmd7tA\ny0k+PaF4RaVPDos3/RYPaEWdAfhpdUqUbaFsQQsailu2gES7sXz5ZWrfciUfXcJrxfczVCJWf0LN\n8qpVKmeXXIclnrajVgjd/gTY0sQdY7j5EYBWeBT+l+aiGoSUhv4KRr42mm++ihJpcSvxKT0gLW5Y\n0uHdhhPIkyspDTTnidDDOA1Cc6AswXOt/gqAL2DlDfUx3J3EPl4v6NXzjK2cW5i/vBe5PQzj+EGv\nSvVZaT8Ju/gQCaG0y4K9iSi+h/eALRfktLkcXYWoF4aWzKMsUsQGb/uaNoukMmrOHCa+/AGOqHg+\naZJERW9x8jGwC2Z8tB7N1Ym24aV0Di8Q2v/PfV7N/3NjPhrs+pn8ZcvpOLuYPtN/pMWb22nz/Bba\n/WszHZ8qp9mj23g+MpnnIn/l8cjfOOnn27HNvAHb57eRMzuCY3EM69o4lm2tsO2+lR/fel08FiM6\n8fOUfxK5bCFVf9+K94rvCZw+jciga4m3G4nmFq+ptdHY+gvntn2F18dcyNbjWrKzcWveXvgXLrj6\nNVqeuTkZgTKPmtiZfbFLk3klZOfMilzaleVzSaWLD8JWfHVP+TqyURzE2p6P7/iF+Ie9R7xwaNZu\ncnQvzp8eIW9Gd3IWT0H2FZMYOgb/67PxPz+deJ/s+eCWn1dwzEsXMidnPMvv+ZoxI7NPqhUXa1x5\nZZi+ff28+Wbs8Dq+FTeRor/h6/IjkUbXoht/A0jgKH+avLX9sVbOMGNODPTrl8fcuUdz1lmFGW1f\nfLGXIUN+4JtvshQU+K1IDsLWu/HbZqFKrcQmdBzq03hiI1C0Hw/+tUxMTExM/nDU/ky8iYmJicn/\njAZqQ9aTeox2h2U7PWI9AShUdIpkjV1aUr2LIrEhoXCUdd/Cbdu2+RAtB44CoNgh5ngfjMPbZnB4\nx5Tt6OhZc5j3h4QNSWuDnhZloinrURL9atnqwFGQydOdVKW5mSvlMI00dy1bZcfTvDnBnSk7oX/b\nNvLbZBbD+l+Q6fDev+s/R6tHQElNgoTkSvLU1ORFtkgTXYdmzUQBcvv2/TuqMopWeqPIFtEtF057\nOYdmcItJEWR535EmcYNAUfM61Wfir5nNGYbmeByLKu6/aohWkSyArBAOgzt9n9VM3UO2ge5Ivtec\ntAkm1Cxu8DxQG3QmFoNfNqeU+BPqzyIq1qvEXgiJ5kcz9/HUn2qXNHoJOV0kyoP4McPRrY1qVk17\nqJTXY98KYyWO60S8+1mpfS5eQe6TpxO55EqiPa4F+cj5c1Bv0AH/K9+R+5dBKFtTn3dHbwnb7jmL\ntU0/pEv/9/Cc1xP5+dTnaA/GmNXleAb/tJA7v76Gy//yMLxSVlNkMqHCCVXv0EB5gj1qI655+RzO\nv/RvBNamMkricYjsAGcBIEHDkm+xjWgLCzbVjBNPQHQXOKr77F0doEsziKYlMYV2Q161mK67coDU\nhxvzgRZPFq8MpjmTI5XQd9tSbOujLGnSjw551ZFTy2HAl0szjlNJ+5Z8csZYgtsTdHz25Zr1gRL4\ncmEIJIXjK54Utim3N+e6oo/p+dnrdKtcTf3o/gWpQl5lRPqKFdX/MliGqnXmF0NNuY6d3Zz0xc8o\nhXG0Jh3QGnZEa9iReNfTa/pIwd0oO1dh2b4cZfsyLKVLkcP737ciy2YmtNnMhDavAVAWb8mnM0bz\n8ZPj+LrhSHwD8mAQ0H7fYwR0iekRG9MjNqzoDLYlON4R4zhHnCbKH0zklGQSTUcTaDoapWIV9nX/\nxrZlOpIuTn5JWhT7ptexb3qdWJMxRLtcS6L/MAL9h2FZ/j2OFx/DuvCbjOEtG36m14ZL+bR1ezbc\nO4VbFo9n5ieZ18xt23SuuSbMM89EufNOB6NHW5AO05MnuiWPcNM7iNafSE7pTVj9c4R2Ob4T9+aL\niecOI9TsYTRHLSfTnwyPx8Jzz3Vh5MgCrr9+A4FA6u/RsrIYZ5yxkiuuaM5tt7XBbj84j50qD8Bn\nm4czcRcO9SWhTdHXkxsbTUS5nojleuFpJxMTExOTPzemw9vExMTkCKFpXHRNb7NuEzKWjbEmK/cT\na9KmTT5EUgLcRoPDO7B6NVodIzksej1kPWVr1KQICanubh5ZFR+1PtQ53vVV0YK5S/HVaZyMwpXb\ntu2j53+fjKKVFfJ+TWiZOd7iZ5Zn0bHLqUFCmoRfhaZNRaf19u37P2+MRStlXxRd9kPaOe1LE5qd\nBod3WAojK7890kRCJ6Da0lcI6LEoklUUeC1xg+BjASSZSETCraQJ3joYa71KVtAdecTjUCCnhSUn\nkjEZwut4QPM0paRERlVTOzbC801G1retCPz1erNkSWpfzyl4R+zUFeKNzq5Z3LZNY/ymOwRRXHdB\n8Jq0eBNNI/eWc5G/qyJnyn14nu6HsmcZRxJ6QRsCz3+G1lC8xo3yzmfpVffjjzYkOPFNGCBuN9D7\nPScWfISqW7j4u5fJ7Sq2eyvhrbbnABCNWfhP4jZyDPNVvgqguh7a0Lw5LNEuJKeV2CdQCVRr7cOc\nn2PpLZ7r0RCo1fNreVIAmyHCJFIBDkP2drQS7GqM3quXs2Jvr+TKzcBXYj9Vlpl12mhevWIiewob\nEGwrDh7cClhzqRffzmD/u0LbyUdtY0rDGQzfNfeAxO7fyobdEEo7j+0WOH/DUho8cy2eO8aRP6kt\neZPb475zPDkvXIv9k6ex/PglxDUS7UYSGXYDwYnv4r2hGO/VSwme+jyRoyeRaNIb/QAmZQqtW7io\n04t8OPZ0KnrVZ2n5YG657z76nLEU6XYNZlPz2WYjjsS3MStTfS66luczdk8uLwTtlKlHZgzQwaAW\ndCc08Hm8J68g0vlqdGtu1n62HbPJ/ep43F+firJ7EYnexxB45n18b35FbPj4rNsovxTT+YUreX/v\nCIrvmc65Z+koWf5cWbdO45xzQpx0UpBlyw7vEyeaoz2Bth8QaPUKmrVJRrvVPxfPusE4dtwDqlkw\nMZ0zzyxi3ryj6dvXk9H2zDPbGDNmGRs2HIJjJrkJWx/Bb/0ADfEzklBxqg+TGxuNrK3ZxwAmJiYm\nJn82TMHbxMTE5AihSC3CkhbtEZQDeOWqmmVjrMn+BO927fKFSBOvpZA9tlSFNT0eJ/Dzz9k23S8S\n0qHN8U6I2QKHOse7mSrmdG5RqvbRs3aMgrf/MAreDXJ1nNaUsBmISHhDtQszOYZIk5BcKSxLEhTa\nMmNNGje2C07psrIY0Wjtz/9nOLyrIkAce1qsyU419WeIQzc4vOUIsuIS1uXbU5/bviJN7CQIJFKC\ntzHShHgcLKKQbkmIarMkgy7JhCNkCN77cnh7vRKFtjSHdyLpKhZeJxf03CKKi8XvbkdlTaY43q6I\nlcX1icd/fYM6PRMrhT56d4h7Rtcsv/lqiNP0z4U+6pjuaA271Cw7XrsHubg6esULyiubsX/7Akca\nWuOeBJ98HV08BbjK+wTPXzufuGcE0atPgzThWALeanwuFuJ8VDye8n59BPO6rsPRZd/SzLIVgGvf\nuhT3QMNESwRiac7rbfN34e4tiq3BEGjVX51cS4D11mHYxDmhmlgTWdJxGJ76D+8FuyF7O1qV3L+B\nexayfE9vCAEfkz4/RNxq4c2/ns3ioUfXnPglSmeUtIkBPQHnhv7Dp3RDSXPuunOgyCC8H2pWGH4C\nujUGq+FnSvbvxbp+EfZv3yDnrTvIfehs8i/vTN5lnXA/cAaOd+7Gumg6RFRiXU8nPP4h/JO+ourm\nzfjPn054yPXEWxyDbpgMM6JIKn3yF3DfwH+wdMzRVDYu5P++mch5F79BwVV74T/AnlqH4Ie4hZt9\nORxVnsepe928HrJRqf2xxG89pynhXndRdcpPhHrfh+pqnrWftWwuni/H4/7mdJQ9P6B27U3wiTfx\nvTeP2JhT0LM4tJXSzbR94Tpe3zyEzXe9x+QLVGxZPrYFC1RGjw5y0UUhSkp+e9zYIUOSiNc7GW/n\nRcmYE8OD0JIex1n2T/LWDsBa9bEZc5JGq1ZOPv20F1OntswoULt6dYARI5by6qs7Dr6gJZBQRuC1\nLySqTMxos+ir8MSOxZ54MpkVZWJiYmLyp8YUvE1MTEyOEBQUGidE18o2S0pQ7ZEheNfueGvWLBe7\n4gc15Yotth+6wpU2VXSkx+S651n/tx3eLVXRTrnFUrmPnrXjadFCWK4sLq7zPh0skpSZ471tPzne\nmQ7vzONQaIg12RWVsVpliopERW/Hjtpd3orTiSUvNdEgxzUsZUFyLal4hx1pgrdTy5LhrTQS1hU5\nUxnZETkpkEsKgovbjkowlvbdMOowiTiSVXzkWTa6wFVAkgmHJKxyWqFNDTTD/bpkBd3uoapKop41\n7XiqoBnut+Uc0DyN2b5D/JwaR0WlUHGB3uQofvwx9T46WNdjj6QJ81ZQ+3ZBtyQ/U03TSXz6npjz\nbIXQRfen9rWiHMdzT4vvtb2D0CmPcySS6DKO8F23CgF8ckLnpg3n8u4rVYQ6PY42QXx6I9cX4Nm2\nlwFw+ozX8YiXPHxeeKXVBQBUBXNYUPg37AYh2FcGVJ/e4x3vUNVzLEra6anryeKTv4rRezdp5Bii\nqENpZn/FUPQ1shesbjFJRktAPAgD/QuTDu85JEXvX19Tgvf+chqbOrauWafqCqWhFihNRRVxzM6P\nCZaJ3+02zTMnh6KyjaoGeYS72gkNthMdYyV2skL0TCucC5wPXABcWP3/c4BTgeOBUcAxQDfQWkKl\nQ2KjQUDuJc6J1orsLce66hucHz2B+6lLybu+P3mT2yZF8PcfxPLzQtRGPYgceyuBi2ZRddMv+C+Y\nSXjYjcRbDkJX7LWOn6fs4cw27/DGyAso71bIgg0juPrap2hx8RZ4Cfhl39tqSMyNWZniddGpLI8J\nFS7+E7YR+CNlfltziXa6HN+JywgMepFEQe/s3XZ9i2f2WNzfnomyZxlqx64EH34Z34ffEz3hHPQs\nVm5513aavXAzz/48hI33f8SEs+WstXNnzowzYECAm24Ks3v3YTy4iptw0zvwdZ5P3D0ko1mOb8f9\ny4W4N52JHNmUZYA/JxaLzC23tOHjj3tl1P0IhzWuu249F174ExUV8X2M8BuQPISs/yJgfRsN8e8E\niRg5ibvIjY1D1jYe/GuZmJiYmPxuMQVvExMTkyOI5gnRXVVqSQlh3Q2RJj8lFGqr+aQoMv2Oblyd\n452k2CnmYh9c4UpRzYgodXc7S2pHYVlT1gtxLgdLy4RB8FYq6zR+gy5dhOWyHw9voaRmGTnetf+s\n5xgEb6PDG6Aoo3BlUpnIjDXZf463wzBBYNtchduaJnhrqRgWY9HKsBRGsYrW2KKclODtVfKISxYk\nCRRDZGcomlISs2V4G22GiqGIaboxTNXTBJwsDu9f408qKyUc6UU51UxxXLaB5mpIeVlqpyQ0HAEx\n29xaD9SGXVj5Y+q1T204XRysKcSLxtQsLl2qcp7lVaGL2r0AtcXAmuWcp65ASnfmWyF46+NgNdio\njyCio64nMmGYsC7XH6TraxPZtsNN6KwXoLu4zcW8QqFlJ2sruvBz++OQ084PXYc+u+fSQEleFy97\nawq5A8TvTTAEWrV4W2CtZPlPHXAZClyG/NQURxzgnIe9q0Hg8afqgtrtuvAXdyKc/Jfh8q5MCt5N\ng6WwWmxbPrIHG45qJ6zzxvOojNXH6hZFxrK94DVkwhc2trAwbwCf9BjPwvMHsOueRtinxch/xIvz\n+ig5l0SxT4hjO0XFPj6eFLSPBUYAw6v/PxY4CTiDpCA+GbgO5DthdSfxilrYGhpfXr1NH6CpUJv4\ngJCD3qQI/sHD5D50FvmT2uC5vj85z12F7bsP0HKaExl2E4G/fEzVTSX4z3ufyIDLURt2rHVcRVIZ\n2HAOTw27li0DWrG2qie333MX3c9dCf/UYeW+t40j8UXUxl+rXHQsy+eiShefRKxE/yhmX9lCvOVp\n+Md+iX/kx8QLMwVfAOvOr/HMHo1rzjkoFT+ite5A6N5n8M1YQvS0C9AtmTnK8u6dNH/qWt7YfRyr\nnlrEsSMyxfFEAqZNi9Gnj59HHokQDB6+A6s5OhJoN4NAq2lolsziqlb/N3jWDcKx4z7QQllG+HNy\nzDH5zJ9/NKec0iij7ZNP9jBkyA/Mm1c304GRuHIcPvtCYvJpGW0WfSme2Ais6qeH5LVMTExMTH5/\nmIK3iYmJyRFEs7hB8E7L8W4q69SXU2JVSJfYmKj9Mj5oUFNB8N7kMDi8l9U9u9euimJm2LJuHz33\nj6Q3Bi0tQ1QKoh+EY9xIQ82NU0vdgIflOLvl354p2bBbN2RLSrXxbd5MuOLQZ+EeKJmFK/fn8BYj\nTYwZ3pApeO+MJsc0Fq4sLd1/jneG4P2Ll/oWb81yUJfwVud4Z0SaSBF0uaG4b2kObySJ8upijYba\nlkSiKSFFMmgqeiSGbDUK3uJ71lWQ1Dg2GyTSVTo90zBeU8wwnkXwNpgUZTvo9lzKylKfU4FcgWow\nvFnrgVrQhuKNqZ0f6TEUiWsOCfcxNYtffR6me0T8DsaPTysMuHsn1lmGYpbHdyXe8xzjOzriCE95\nj3j3+sK6od7FzLj2HWJ544hP7g9perMc03m7Y/Jx90mzHsPTRxzP74NnWiVd4CVlDdne9XiUtNNP\n1yG4C349LVybV+HsIU4KhMJirMm2Rn2xGATdSPWl12FJZMSaRPaC3ZDjHamCxvFd3Ov/h9hQADuG\nGAYAfBEPk95/kcKt4oRJ8WbDuO2b8/NDvRn4xCJOmPIpA49dRFGz8kN2F6BrsOJtcV2vi0EaTdIV\nfhVwL0jPAw8BU6rXDwVaA7+hxpyyoxj73LdxvXANeVN647mmBznPXolt4QzUvA6Ex96H74rvqZqy\niuAJ/yTW+UR0e/Z86l/plLuSuwbcycphPdlhacMTz09h8IT5SI9psHbf24WRmBmxcUGlmy5ledzs\ndbJ6P1FjvxskiUThIAIjZyaF70YDs3az7ZiN5/Njcc2diFKxCq15a0K3P4H3k2VEJkxGtzsytlE2\nrqXrIxP4vP55fPPURnr0yDwRAwF44IEoffv6efXVGInEYRK+JYl4vdPxdllMpNGV6Iifr6THcJY9\nhmftQKzez8yYk2ry8qy89FIX/vWvTrhc4jHbuTPKqaf+yF13bSIWO3gnvy4VELS9SMD6Ehri3zgS\nQVzx87EnnjA/GxMTE5M/IabgbWJiYnIEUagWoaQJbAHZj1dOCoSSBN0tohN1VaJ2y9zgwc2EHO9N\njj7oaZJdqLiYhK9uBRxdCdHtHFI2oLF/1282JCRkzRhrcuhyvGUkWqiinbIusSYWp5OCzp2FdeUH\n4ZI/WH57pIl4DMKSF83gbm7mFMfcGEzerBofUS4trZvDu7FNPN92VBeEs2DBqqeUL13SicqiIigI\n3kBZtQNcNghm0WjqOBijfrWghs0mKsxWyeDwTgCxADabLjq8s8X3Vt9Dqyqi4J2lwKVsB6w5lO9O\n7V+hvCujn+ICzdOEkpJUvw6y4fvQCtScbjWLkTlfY4mnvQ8nREZdWbOYM+0mpLhYzDJwzStZ3tAR\niGIj9OhM9HzxA7ihbGoy2qTvv9CPFTcZEZhDJ8ca1lZ0YW27EWJ8iAajvDOwV1u07/hmKu6jxO0D\nfqBaRx6a9y1bW5yKRUxPEWJNtpbk4zQI2OG0SHe7wewYqQJHFoc3wAm+T8SGoVDEbmGVEleZ/Pgr\nXPP5v3Aa0jxUQ5TOwMu2MaD5En4LmibhC+dRHmxIXFaIW6r/KTJB1cVObwv2BhoRTdgpmQdVaQ/4\nWBzQPdNwmbzraAT0IOn8vgi4HXgWuJekY/w4oAuQk2X7LCh7SrHPewfXc1eSf3V3PNf2Juf5q7Gs\nWUK848kEz3qNqhs24rvoU8KDr0Nt1LnW8RrbN3NtzyeZP2Iou+wtefTJ6+lz3lJ4Rq819qRSl3kh\n5GDYHg/DdieLXVb8QfK+k8L3x/iPnUG84YCsfWzbP8fz+XBc885HqfwJvagZ4ZsexDtrBZELrkQ3\nhtwD1iXzGPHoaBYPuJ63H95NixaZx6usTOe668IMGhRg1qz4IcmArhNKLuGm9+DrNJe4e1Bmc2wr\n7pJzcZVMQI7WcqL8iZAkiYkTGzNnTl969RInnXQdnnxyK+PGLWfTpkPjjo8rp+KzLyAmjxP3A52c\nxN3kxK8AvW5/o5qYmJiY/D4xBW8TExOTIwgLFpoYcrxL03K8expiTX7cj5usd+9CbHoqWDWseCh3\npT3urev4V9by/HYtWPUG2NS0fZVUgpY1dRoLMnO89UOd450l1qQuFPbqJSyXHUbBu1UDUdlat6P2\n80HBil1w0utEZK/Qp7NbHHNt4FfBW3Tqbd++f4e30yB423/x0tAqCt7bhRxvUeXyS6KrNj3SBFKC\nt1HUThV6zBTD1TAUeMQbbFdCdPvrKkhRX6bDWyJD9NarxWpNyxS8jak5kgK6zUUo7eXbOEsyBEol\nB7xaEVVVacJ4okzoo7XIQbck37/PpzM48qH4Ptvno3ta1OycdfZssf34PugFbfm9oDXqQnjKlcI6\nZzBKm9cnsTfcmugFEyH91Nbg3fZJ9/rkz58kt6c4XrBS57bmdwPw3g9DsBwtOqijUYhXO7QVSeOn\nFQ3JMcSaBAPU5Gx3l5fgEE93Imm1cRWPODkZrQJbHsL5lAiDGgdrNO2EqAd0gAaJvan3pmqcdf90\nBi/6PnkcMk20qb5WaDI+e5uKhNfqZkdOIzZ4WjG73jA+tI9m8frbKZ49jffvmcrc290svE5h3oUy\n354k8dVIhfmjivjxRBuLx+Qwc3h9PrxM3IH8+vVZeM9AvrnzGOY+3pdFr3dk43cNiJSnvi8CCtCU\nZCb42cANwNPA/cDFwDCgGdknnIxDlW/GPuetZA745Hbk3nEcjplPQsJBZMQt+C5fgPfqZYTG3JMs\nflnLoI1spVzf+3GWDj2aLfEO3H3fbXS+cE0y83vHvvdhdSJZ7LJLWR4XV7r4KmKpNX7sd4EkkSga\nSmDULPzHfkiiQb+s3Wyls/B8NhTX/AuQq9agNygkfN09yaiTE87OWtzS/tn7nPP8YNZMfITHbgtT\nr15mn+JijfPPDzF+fJDFixMZ7f8rNGcXAu0+ItjyeTRL5lMXNt9sPGsH4tj5IGjhw7CHRx5t2+bw\n2We9mTKlRUbE2IoVfoYPX8pbb+08JJMZulRI0PomQcujGW58u/YeubGTkfTyfWxtYmJiYvJHwxS8\nTUxMTI4wmiXEYpDpgnd3Q+HKVfsRvB0OC72PEu8w1lrFG1XfQQi2rkQ3YTloWVXnsaREZo73ocRY\nuHKzpW5RJEeS4N21uaGQ6RZlv0/tGgtXhgyxJkbBe10gOaYxw/uAHN4tWwrLts1V5FnEcOHtWupP\nkTwtT2irMGREFDrLkNLiR2oiTYwZ3pHUdkYxXA1Dg/wQUS3VkKOJ4r2eACnixWrVMwTvrJEmuoam\ngba/P6uk5A6FQqlRmtm3ZwjeshN2hlKWYKcUwhFOK0YpgdqqdU1A+bJlCforYgFarXfqPLV+NwOp\nKm17CwQveqj2fT0CiZ58F9H+Yu2Asb5veOvOpUTa34s+TjxfuntX0y1nJT/t7cbOo3qK4nIC/spT\nJD9AienRv2W4sP27gWptrenu73F2dwvt4TBo1fNFjWy7ibcXI3jisaSIDeCwaeLrh5ITK8b49Jgf\nhAdlugIS1I+lvqfHTfuazt+nJgRzahG8G/SvFtarWby6Ow9vvZ4fCrqxoLA3yytas/pNJ6suieHt\nsRy9wZdsH3E3P198Kfmv3obyzi/sfTuG97M4gUUJwj/FCa3fRHjjRiKbN6OX7CDkE68Fnu178b67\nkKoXvmfvo0vZcfN6Vp21h097wow2Vj4ZUMinJ7Zm9uXtWfBoM7Z8YSe4RczORwYaA0OAvwD3AP8m\nKYafDHRCKGaaDUnXsGxYgvM/9+O59VjyruhCzjNXoKxbTqzbuQQumoV36jqCJz1FrMNxtRa+bOHc\nyG397mXNoKNYV9WNm295gNaXlsDbQFX2bWJIzIjYOKsylx7ledznd1CynxiyIx5JIlE0HP/oz/AP\n/w+J+n2ydrNt+4S8Twfj+u4i5Kq1aE2aE7r3WfzvfEu8/7CM/lI8huvtfzNl+kA23vQ6U6/WcWQ5\nrxcvVhk3LsgFFwQpLlYzO/wvkCRiBWcmY04aXpYl5iSKc9fDeNYOwuKdvY9B/lzYbDK3396WGTN6\n0rix+D0LBlWuvnodl1yyhqqqQ1HQUiJmuZiA9QM0xMdoLPoP5EZHoWg/HfzrmJiYmJgc8fzO/+oy\nMTEx+ePRLKNwZUrw7pEheFsyCuMZGTG0EcRTLt5iu6Fw5UHkeGcK3qv30c7yI4AAACAASURBVHP/\nyFkKVx5KjA7vUsWLym/Pjyzs3VtYLlu+/LA9Zt2+SMNlT7323oDM9orabZA5hhzvgCxGJTSx6+Ra\nUmMGVInSiJzh8N6yZf/utWwZ3jlWUWBPd3jnGyJXKpUwoWhKrbPIKvUdKafrvhze6RneGZEmYahv\nL6c8llI3M1zgIZCjlTgc4E2kqYVZDq2ughQLogOxNBEdPcPgXUO64J1nrcqYpJDtUO5NHYsmiiHP\n3g1afvuaxdWrVJpERdda7OjRNf93TH9OaNO6FaA1Fs/j3wWSROTud9DTdGdJgwmr/srajblEJl4F\nDdLadJjWbhIAU+fei6uNOJxaHmK0JylI3fzhJbh7iO3BIOjVl84BeYvY1mhkRqxJJPUADb+EOmGM\nLI5UG/NtFg2bGEOedHl7xHUxH5A+/1J9WfQQwKGF6fLdOo6Z8YOwTaLZvouOFg6DSn8D7n/2fFr3\nf4YBY++gapfGntv3UNFmNZUdVxO8agvyeztQNviRfuOlzPicjJ3a00j0WJzY1jIiy34hMLOYssdL\nWXZRlC+OgRltrXw8tBGzL2nG8ifz2L0QYulispNk3MkpwE3AM8CNJAtpdgD2E58te8uxz38X99OT\nyLusA+77T8O68GPirUYRnPA2VTcWEzjzVWJdT0O37vtddMz9iQcG3kJJv7Ys3XoMl14xjdypPpgP\n7EOD3aHJPBZw0nd3HiftdTMzbCX+e3Z9SxKJJiPxj5mNf/h7JAqyX09sW2fi+XQwrgWXIvuKUTt1\nJ/Dch/if+Q+J9l0y+su+KgqeuZ0Hlwxjw8Ofc95EBTnL3eonnyQYODDA9deHKSs7+BzoOqF4CDe7\nH3+nOcRdmVEvSmwzuSXn4Co5Dzm69TDs4JHHkCH1mD//aE44oWFG24wZ5QwZ8gPff7+PGaTfSEIZ\nit/2JarUXlivUEpubBxWddYheR0TExMTkyMXU/A2MTExOcIoSjRGScsN9iupHO+WioZHSt3c+XWJ\nzWrtl/LBg5sKOd7FToPDe/ly4yYHjCveXVgOW+qe423M8NblX9DZf2zGgZKvO8nXUmpUQtLYofz2\n/PKCTp1Q0qxnobIyAjtqeb79v4giQ9dmBpf31tptjx61sbDsM4ipkpTN5S3Tpo1TWFdSEiYUqt1h\n52guTt5Yt3pR5HJIm2jYkS54G3LWvXIV0YRou22ak9rfXx3eRlFbTiuEZSxoqYahnnW3IHhnE8UJ\nVmKzgVdLUyllMsQXLQpS1E9Ojk5US3Ou7WveQVeJpZmtPRZfhuAtKbCrIiW4tXVsEju4QctJqbc7\nV+3AFkt7zN8Kia5jU+/vR3EiKjZmHxkXvwO0wq5EzjleWNeucgvf3v5/RJpPQR8lnv/9fD/Q3LqF\nz7eMQ+pryLCPwANFUwHY6WtAZff+SGmfr6pCLG0eYfO6ejhbi/sT9gPVpkR1TxhHgaE9TRC3G9qi\nVWAz1FOM+Um6yhMQc1lIr8HWtGIHJz71mdB/W34zNt/ajn0R6TWJ5Vvn8I97TqLRts08KN9M31P+\nSfjhnWhbYvvc7kDQyRS8Czig5JHs48XixDeWE/islM0PeZl/BnzSBWb29vD5xEasfNLJnsXJ7zCQ\nLHbZGTgV+DtJB/hUYBzJiJRakNQE1tVzcL08lbwrjyL39rHYv3gZtaArwdNfpGrqegKnTyPWcTy6\n8QKRRp+CRUwbPpnd7Yt4c+aFDDt3DtKTGmzZ92t/F7NyUZWbnuV5POJ3UKb+jrO+JYlEk9H4x36J\nf9i7JAp6ZnZBx7blQzyzBuJcejNSrJLEwJH4351L8K5/oTVqnLGNsnMbzR+9nFf2nsjKZ1cwZkzm\n75qqwiuvxOjb18+DD0YIhQ7PDILqPIpA+1kEWzyDZskUcm3eT/GsHYBj16OgmRnSBQVWXnvtKP75\nz47k5Ig/qNu3RznxxBXcd18J8fjBT2Roclv8ttnE5eHC+mQxywvMYpYmJiYmf3BMwdvExMTkCMOC\nhcb7yPGWpEyX98oDyPFWEikX7xZ7d7Q0S2t0+3aiZWXZNt0vNr0RVrWoZlmX4oQs6+o0lqR7kLS0\nG19JRVdK6jTWvjC6vDfXIcdbsVpp2E10th/OwpU9Whpy3bfWfj7kqWJkTpVSmtEnW453bq6F1q1T\noremwdq1QeOmApbcXCwFKcVOjmtYd1VRz5o67iWJ1P7mG+JWqpQq4roYi9IxP+X832lLni8WUYvH\nHU+5z7NFmrh10eEtyaC7xOOm7006ySPWNJF0n4K3D7eLDME7I65WAzQVJe2lXEow837bphAMpTq1\nyTF8D1ygW1NWZtc28fzT68tonuRxk0pLkCrTJo4UiI65gt8zkcnPoTYWP9iLd93BipVOImdOgjTX\ntKTCc+0vQ0fm0V9uxmYoLNmm/CfcUnLia9qay3AacriDldTEmuTtXoejgyi8hcOgV6f09HStwN5K\n/NAjaRH51jyxLavg/escXBR25zcS1ONBby/G5Uud2zHFyh2X3kn/xiszJnYAbI0a0GzEg+g/reYx\nrucmHqa9VpzZMQ1dAl+bxtQbZ6HZZIWOdyn0/JdEz1dtDJ0Ox34Jo76F0XOh0z8hXTJXrDD639Dn\nCeh2B3S4GlqdC0WjwNVZQc6r222HustHaE45mx4KM+9UmNlB5pORBSy80c22GRDeWd3RDhwFnEWy\nCOajJONQegO15ZzrOpbiH8h5+07y/taX3BsH45j5FGq9rgTPeRPv1PUET3qaeJvh6FL292CXwpzb\n4XXmHDuCrVJ7/nHnPTSftBWmU5PzbmSnJvNAwEn38jwmVbpYHNt/JNURiySRaDoG/9iv+X/2zjs+\nijL/4+8p25LdTSf0XqU3KdItNNt59nK2s3fvvDvPO8t5dj29U393nl3xsAsqTQQFQZAOSm8JIZCQ\nQJLdzfad+f2xgd1ndhMgcEdxPq8Xrxcz88xkMi0zn+fzvL++Ee8RzemV2kSPYd/0b9xfDMC24V8g\naYTPu5yaz5fhv/NBdKcrZR11/Wp6PHYBX+Zdy7f/KqZfv9S/b7W18PTTIU47zcvXXx8FJEZjJEmE\n8y7F020Jwfwb0A2f2JIexLH7cdwbhqPUHl4B2ZNRkiRx9dXNmTt3AL0MqChNg+eeK2bixJUUFR05\nB12XsvBZPiSo3Cjug1nM0pQpU6ZOepmGtylTpkwdh2qI450Oa9KQbDaVTq0StkRUtrEzUzRsvUdg\n2DqPItZEMhSu1P7bhStPAo5379ZGjnfD10NWTIw+1qg70Q1ol/oKV/boIX6Y/vij76D7Zyxcad1W\nRYEtEZtdH5UPmDzGhHe1XIWkitdE1+xEh8oWezzZasRM5CUVoTRieWNeUPwVeJLZF0DUKXJNtMpq\n0KKEbEkJbzWeqhfaBeMJ78xMnWDSCALkVMNbCwNaRDC80aUU9ImkSISCiZXzLZViAwfoaqIjoWVg\nlfg75jnZH1W2fi8Ws9RbWNHyDNUXTzRZMwndLhawbOqpZMWT7xJqcx/6KPEkjY18hZUg/1p9E5l9\nxJNS64X7WjwNwN/nXkBGN3G53w96nQk90PUDnk6DRBZ3DKJ1jxFVjhFsUSic91g0wfG2ZhgMb0+q\n4R2pBS0GBGGzI2ko/l5oP0uMDb864Xqe6PZHJAmshvQ4gLN3X9bfcgueey6jDemRCjG7Be+Yttge\na0e7mS0YvTWTaxbsZvTrUU59OEb3G2K0v0Cn/Vlh8gdBdndwdwFXJ1g3V9zWKedAu19Am4uh003Q\n437o9wwMfQfGzolx/nqNczbGDfPBb0KPP0GbyyBvYPr9r1cxjfD6fZRN8rH0VpjRHz4f5GbB3U52\nToXg/v7dPOIFL+8gXgTz98TT36mBYkFqyTocnz5D1m+H4PrDCKxfvU2k1Uh8V31KzW/W4x//NNFW\ng+pdv6V9G48OeZCiAW2Zu+YsLrnufWx/DkI9g6kiSHwStDJ+r5tRlS7e9Vs5RmHlI5ckEWk5Hu+4\nb/ANf5dodo+UJnK4mowVf8Q97TQspbPAZid03d3UfLGC4OU3oauWlHUsC79mxJNj+P60+5n8fDXt\n2qV+whYX61x8sZ/rrvOze/exwZzoahaBVk/h7TKXaObAlOVKaCuuTROw734C9GNkzh9H6tw5k1mz\n+nP77a1Sli1b5mHEiKV8+GFZmjUPU5JKwPIktepzZjFLU6ZMmfoZyTS8TZkyZeo4VMMcb0Oi9yAJ\nb4AzhopGyzpV/Fg/IqzJUSxcmcrxblxavD4ZC1cWq41jRabjeB8rGRPeBytcmaHlYdESkeioFDxo\n4cr9hnfPnqLh/dNPYgHKdHK0F8HJjh8raGFPjCjw6DKlWvz6NBat9MgeLBkdhHldsxLXxCZH3Aw3\nJrwL8B4oBKnaEQzKWC1QtpVaQ4XCWKYYkdVqQfKVE8tMumbkOG5EaBcAKVBNZqbO3kiSOS6lpsH1\nCEhBj2B4h3VLCgJCj+oEkgJn2RbDdWoBXY6fi1hMpzBaIi4viLuHFRUa2z+aJ+5vV0OE+QRVaPz9\nRNqLPR1XlT3BijWZhC8+P572rZMS1Phd66epCWezpsnIlOKV11peAcAbdlPeZZjwdhyNQbjOQJUl\nnS0l7bAbDFP/Pg4A23fWtsJqSFuH6rDzNpuGnNQnosdAixiuXx0iPiAMy+SkgoCzQY4lbuyqwix6\nj19DoRw3aYy4FIB9s2dT/uGHqQsAyxluct5sRXD5L7hsUikTr91O316l5NobHrWxX74K2CDSVeh/\n5cHXs7jihnnzsdD5Vuj/HIycCmf/BBN/hOEfxdPhrS8Ed7fU+60+RUs87PnQx5JbYHpv+OI0J0v/\nYGH3V/ECoajEC11eDDxe9++XQNuGt6sW/0TG5IfJvqMXzkcmYvn+S8Jdf4H3uhnU3LGcwPDfoLnT\n81NkSWd0s9m8P+YyKpo35/nX7qHD5VvgfepNff8YVbmrJpMe5Vn82eOg6EQtcilJRFpNxDv+W3yn\nvU4ss01KE8W7Bee8y3B+cwFy9Tr0nDwCv3sCz2eLCZ91fuomNQ3b1Pe45J9DWXPVC/zt0Rh5eak4\nmClTIgwa5OXf/w4Rix0jzElGL7ydZlDb+kU0VYT3S2g4yp7BtWk8cnDLMdm/40k2m8xf/tKRTz7p\nTdOm4sPT54tx883ruemmdXg80Xq2cOgKq9fWW8zSHTrdLGZpypQpUyeZTtC3KFOmTJk6udXMwPH2\nKB48dRzvXikJ74MPgx5/Zn6iehqw2S4a3t4jMrzFoct+dQMajWPDylExeaqpR9dIbm1IeJfJHoIc\nfsrKmPDes2rVMStc2bmphsOS+NkVXpnd1fUzYSWklJS3EWvSNVO8xjbVKsT0VMP7UBLeTgP+xbGy\nnPZ2EaGztm6UggUrmVqiAJ8u6QQsIt4nOeFdreawRy1AVkARw9WU1cTNUEmuM72TpG/dRCjLYMDY\nRGctVgtyTSkxZxKTVQLJKh7bWABk7y6ysnQqwkltFZDTJLylYDX2pEKjESyp6JOomE50yIbh1hbQ\npXgK0uPRKVTFwqPkxq/zkhINR6WYCo51Sk1cnpCSVcI33yPMKvTsZekLXxLseF8cY5Gku7P/DsCT\nS35LhuHUO/ZU0kyNs+H/vfZGHOIAm7ihXXdL7NsewiH2wRAMwP7SBXZvNTbRSzlgeEsSKUiVsBcs\n4m1FpBYIw/JIneEdARaIbYouaMUwx/cHpg81IW27LJeWy9oy4n2d0WNLuCrnQ6yNeAau/hC0JP8p\nrwO0rj/0fGj7lgcFp8XT4QP+AWfMgXM3w+gZ0PsxaHUBpPFN0yqy3UfJOxEWXQOfd1OYdYGLLa+C\nd2sdsrcZcDbwEHH0yRXEDfEGvowsGxaR+cZvyLq1G86nLkFdt4zg0LupuWsV3is/jhe7NA4pqZNL\nqeLuPi+wZVQn5mwcx4RfTUN+Igbb0/+sal3m5Vo7/SvcXLEvk8XhQ3T+jzdJMpE2v8Bz9iL8fR5G\nV50pTSxl83DPGEHGknuRghVordpR+/QbeN79iki/IambDAZwvvU8d345inX/WMiNN1pTOhd9PvjD\nH4KcdVYtq1c3XGvivyZJJpx3BZ5uSwjlXZ2yWPWvwL1xFNbKt0yONDB6dC7z5w9k3Li8lGUffVTO\niBFLWbKkJs2ah6f6ilnKlJrFLE2ZMmXqJJNpeJsyZcrUcSgVC02jYoxwpxo3JTsoGk4pKemny6yN\nHgLHO5gofLfFIQ619axc2WjD1qIVYokl0rK6FCGgbmxgjfolR8X90pTV6Bw8RXyocmChMJb44NYl\nKFEP/wMqu0MHrK4EiyBUU0PNtqPLGz9UqQp0b3W4WBPR0asxGN4FNp18S8J0DWoSRX45BWmybl3t\nQRN0rl5ih4hjRRn5BsN7XTLH25DCr1RE9EiX7I1ISQiWjY74qACLIeW9uzqR/rVkistiO0rRm4nO\nmWowsiM1IHt2oReIx8rISo56Qa4pxmYDj5S0rwoYcb9aCORADVnZiWPmjbhSqvzpMR2rmjinekoD\nQIqf4+pqHRdiKld3xyHWFRU6+RGRUx9te5IY3kD4jLuJthNP/Hklj7FzXyeiE0QzI69qH4Oci/hq\nx1lYe4mmpN8Pf2j1BAD//m4iGeJAEwJBmFpyDj2+/5Hzf/gAtYt4jYZCoNedgo6OLdgKxfWDSbVx\nrW5xWdiben3uN7xXhOpc+zWQfIr9bjud+omFTPWDhB93dO6Bc34PBr+kcWrzIrLCjX+u6hqs+I84\nr/+VaZj1R0GKHXJ6Q4drYeBLMHYRTFgNg9+AzrdBbv8Dt0L9isSoXexlzUMwezh8caqD5ffLlH9b\nhxnKA84gjjx5AbiWOAu8nt9HikWxrJpN5ss3kX1rNzLe+C26nkXtBa/GkScTniHaLLV4436NaTaL\naWedTYmzE7996Blyb9kLc4E0FA4diRkhKxP2uhlX6WJG0IJ2Inqjip3QKXdSc84yQh2vTmGhS7qG\nbctbZH0xANu6f0AsRKznAHyvf4nvhfeIteuUusndO2ly/xW8GL6J+R/U0KdP6nvQypUxTj/dxx/+\nEMDjOTYHTldz8Ld+Hm/7D9BUcWSRpPnJLLmXzG2XI0Uq6tnCz0f5+Vbee68nzz7bGbtdvEZ27Agy\nceJKnnmm6IiT+4lilqOF+fuLWdqjz5udEKZMmTJ1Esg0vE2ZMmXqOFV9HG9ZgmFWMZE3I5jKvEyW\nzaZySpsEFmGXtQsBOWHYRquqCBYVNWo/JaQUrImvkVgTWW+KFEuKT0oxYpYfGrWt+pTC8VYOn+Mt\nyTJNjiOOd5/WBqzJYRauNBrekB5r0ry5jdzcxLVWWxtj+/aGi0o5DYa3fW0FNq1MMK3XJmF5sjUx\nHlumxvAGEvHVDDVAa2eCR7zf8DZyvCs8iVi3cVl0n0ZBa/GecSpiijpSBbKnlMxOojFusYkfwVoQ\n2BtPBwdsSYa3isjqBmI+kAJVZCcZ3rvDzVKT4CHIlBMdMZrxdU2H/ZHjUAgUyeCUKfHfrbxcJzMo\nnp9Yu5PH8EZWiFwucjS6VG9j6kvrCQ67Hwxp4Afb/IWoZmGadglykkmqafBL4g5udSiH2s4iNz4c\nhnzKWevrAUgUNTmTpLq/aHr8eoE4xkJvIV5wYX8dlxtQDeZ2vYZ3DCq9+YRjFlgtLt97Wi5OVTyv\n/l3UqxmX3krttHGM6bSOvFDjME7JKvoe9iUlkxUrdL7Ihl+34Q3YqNlnxbtHJrQXwtVxRIt25DSC\nA7IXQPNx0OMBGPUFnLMehr4XR6Rk9+agXzfR0gDFb2ssvBym9rSy4BYbu2bUoU9cwAjgt8DzwOVA\n+/q3JQV82Oa8jfvPZ+L+/TCs30wm3OV8vDfOxXPzdwQH3YzmSB+/b27bzjPDfsfuPi15e9q19Lts\nObwO1HOKlkRUrqhyMrTSzXt+K+ET0I/THU3wn/o83nHziBSOTFkuRbxkrHoY97QhWHZ8DkBk1Hg8\nHy2k9k9/Q8trkrKOde6XDP3zML679l2eelzFaQiRaxr8+99hhgzxMnVq5JiNxopmnYmn6wLCWRNT\nllk9s3BvOA1LzcxjsGfHlyRJ4rrrWjBnzgC6dxcfjrGYzhNPbOecc1aya1eoni0cmuLFLD9IW8zS\nEX2UjMgtZjFLU6ZMmTrBZRrepkyZMnWcqmVUZO0mc7zH2kXDe1aoYcMbYNwItS7OBpqksNXeX1h+\ndDnejS9cqUSGCtOa+n09LRunNjHRfChWq+pp2bBSClceQ453L2PhyoMY3tlGw1tNY3i7Ug1vSZIO\nG2tizcvD1iKBUJEjGvZ15eRYEx0NyQnvJjHR0Ci3lBOIium+ZKzJAY63wdQO1SZecSxGw7sGWjT3\nEtISce1sVYTqRqtBqdxM805ZVEcSbHHFlmpka2X7QIsSzkyK9irx9L2wzdp4ajzZ8C4NtkA2bi8I\n2dbEdRmIGuLrUZC0+Md+LAayJJ4rvW6DNfsiKMl4FAm0QtHMPdEVPP8htLzEuZZ06Lv4EfwZ49AH\ni9HfM2JzAJ1/r7oOh8EMt1dUkV/Hw5629wosIk6eU3yJDq0vt56LralhP6o5wPHeZ22ecu7DdSlv\nqwGvU6/hDXQKbqHY2xrWistze4qddAtiQ/Gnr0nJW797ll6PyzyQ+SyqfviF/MKolFias9zRmxna\nSD5YPYxPnhSfoRmqyjcDYsxsEWJ2hxBzeoSZ3UdjWk/48hT4ojNMaQ2fdFL5pL+dz8Zk8sUvncy+\n1cmiRzJY+y+Fkk9h77I4/uVw/Ug1E5qOjhfBHDMDzl4bL4rZ/hrIOAiyXveG2TM1xOLr4YseKvOv\ntVLyKUQ8QBZwJvBn4CngAqB5/dtSStaT8e4DZN3WncwXrkUqKyNw1qPU3PsTtee9TLR5v7TrWaUg\nv+ryFstPH8DKykFccfMkLA+EU877fm2KKtxRk0nfPVm86LPhOTb1GY9IsZzu+MZ8im/Ee8RcHVKW\nK74inAuuwTnnHJR9q0FVCV94DTVfLCP4q9vQDQ9hye/D+dwD3PvtRFa9s5nzzkt9J9q9W+faa/1c\neqmf4uJjVNTSkk9tu3eobf13dFm88eVoJc5tl5Ox4566YhM/b3Xrlsns2f256aaWKcsWL67hrLOW\ns27dwbFqDarBYpYf4gqfaxazNGXKlKkTWKbhbcqUKVPHqZpFmyHricd0jVKDV4q7JmNtouG9IqJS\nFmt4PPmokc2htujA9GbHqcLyIzO8jRzv9WiN4MICyNHThOmYZWGj9yud2kTFBHGx0sjClcdTwrvN\n4SFNXLGmSEmM+IBcTUgSPxyNCe9lNfFtdu9++IUrU7AmK8sosCWwJluiMqE6k6swKjqJ5Uo5skU0\nvLtlrz/w//0Jb6sh1edMSjYbzfBINbTJ3Mo2fyK6aTTFI9Ugl6+iXbsY2wPtEgusoBoOb7QOfxLI\nbpuYmS7h7QW5Zif5+QmzpTTUAsWIPglCfkbC1KyMGpimQeLVMokXxpSNLIS6+LIeMKTvVdDSVTc8\nkWXJIDxuhDBrdHA+c+ZIRMaNixcrrJO1NsLE7C9ZsGsYlq4imybghxubxYtXvjzvfByGVG+sOkJH\nyyYAXp13OnaDYR4McoDj7a2xYTX0UexPgNsyEd6+Y8F4QjpZUX/c9O0S2Mie4iaQ5G9rFonMjonU\noU/P5PnQvaTTpN8+wZW3/sAd9pfSLq9PYYvKblc+/7ZdxsuLzmHm/U3YcFop/lbzkMYvwL9CNNzz\n/VHk4MEj3FJtFGl3EH1DLZFFPrxTfOx+xc/Gv8RYejvMOxem9YQp3RSmj7ex4BYL65+HXTOgtjiO\nUjkUWbPiRTH7PB5HoJw5H3o+DE1GpCKJkqUHo1TOCrP0dviih8y8Ky3snFqX/G4CnAP8FXgEGA+4\n029Hioax/jAV15MXkXVnH+xT/k6kzWi8N3yN59dfE+p9Wb2s7z45S5g05ipKm3fgniefw3m9N4Xf\nvl+7NZmHvBn02pPFXzx2yg/yDnDcSZKItByPZ8JC/P0eQzP2MgGWPd/jmjmGjMW3IwXKIMNJ4N5H\n8b43l2iP1A4EdcMa2t8zlve7PMKnb0Vp3Tr1mMyeHWXoUC8vvBAkEjkGaW9JIpx3FZ6u84lmDEhZ\nbNv7Nu6No1Bql//v9+04k92u8MQTnfjgg14UFIidGLt2hRg/fgXz5h3+KD2j6i9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hjOHD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Y+YX3AVrmzIn+wcg2KZ1K+USURA9kDRLBAHWH10L7eYqz3BC+aXUmWiDCUzLJQBSm+tDdoe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M09LcKFFbois0mTtqbU1ZQnLVVT0Ykr8Vgk40ycDU1jMEH9BgZSV7HnjgmNts0lrS2vNX\nIc1j2EGF+fOjrkvS05uwNtlJ0PJ6MyWOHaP9negTaC2kLbPsY6Ox6KjryujShbPeeENI81ZW8vXV\nVxPy+Zop9cega2uN9/7qxiBHOoc/JHHV1CQOlIc/b3KCA+jgEwmLUtNW9pgX80toa9WZM8hJS5NI\ner9ZYOFzazaff96X5Jjt+k8+uZ+XXvpl0rvlRRfR+/33kSyib2nLf/3A8DuncW3baSQZIkTANLeF\naxxhX/segZ5c5LoEsyaShTstIT7qcAVFMcEsjXKIl4ffzsejr8BucIEkMaPlXxjcex1bbL2wZYWJ\nbGsTmw1SXB72fW/g8H4zug6yAuldoM0wsGTE59e8UL1Yx/nQB1x8+HKGTOrBK+0XMq9qfJPXoZ2h\nggFZRWSfaqZwTC9c7dOazAeADr5CcKyEkk+h8IVaqid/g3/Kv1D+eRn2x7qRMjmP5DdPxf7ZtVgX\nPo551cuYfnoX49bZGHfOx7hjHsZtX2D6+RPMq17GuuBR7J9dS8rUk0h9qi3WV89FffPfON7ZxOG3\noWI++AqaaIsMS666mNH/2cwLS+7nxh9Fq58yfzZfnTSLceN8GD+4l9r1YvHkXDDU3/rFqaPJ3rka\nU721Q9ANZVvEz3M5E3Z9NAwpIJKFAZsNr27FFMPZhdxgy4lvtro1TGbLeoRAjiW8DWrERkBCojKK\nYOx9p0gg1ix34vmxBgfpjV7ekiwx9FmxzrrVLkqnlaGgUUDbxvTB/7KROUB8hmru3EDt8lo20r/R\n97vb9RYGPSWeW68LcnjMjyxb3gEXdiRJYuATNkZ/moQSw3OGdtZRNuQ7ah7+GUI6re7Ko82ucXBT\nX3RD/FRI8frJ+XAhQ866hzOyJ2Cb+AA/fDiDfxWv4NLU7VyfupvXbSV8Z3awS/FSKPupkIMcUHys\nMTqZaangOVsh9yft55LUHfwldTev2ItZZ3QRkuJfZumagYdcudzpaYsFGZ9Ux6qkVyk2hRdBtJoA\nFWOWENorKtMr3p5IqG0GKdTSmogS0/X8TvBG7qPeJpW2UUpZB6n46+9X4KdqZG+ExHZmtKZj18rG\n40hwSx0jQQLlos2Eni7eaz+RMU1CR/OJ46dqjF9oCJ9HvA9JRhfVfnGQSaOGckSbkaBSRn6UpVMx\nESsr5QiEN4R9vEuN2c3+3lnZQ0Fn0Zvbs2dPuG7zICG9e8YONhrExWbl0BZiEcoXlc+GgtWga5xx\nehCjUYfNQERcj0OXWR885g3ZfwiCOWejR6mfDTXbkJ3xZL/WqTtqu8hKnxQMYFy1qPF42DAFe9Ta\nVkmJzvbtJyBgpGwmmCqS8///2pqIz8ecOccWH6cpBBQxeGXC1iSBBBL4PZAgvBNIIIEEEvhD0FJt\nyQC/qMLeZN5AqRKZqA80qdyTJBKp3/hNvO+NnyRLksRLL4xEqQz7QBZYejOrxSNCnvJZs6iYP/+Y\n25weOJPkgBgUs9z6Pj75wFHXZQieieIXAzyFLNPQlG3H3L6mICHxJ88AMlWRiPjQvoEK2dVMqebR\n4eyzGRLjiV6+cSNL7777hAexPLlbiJf+LPrPVrlkLnsliSpneHGlt/cC0kN5Qp5t1i+pMMQaMcej\nk13ji0FOWhjFSfdrhyx8ldySmTP7kpQkkhFPPLGfKVN+2dO7xVln0XfmZ8hJonq1xVubGHzFa1yf\n9QqZpohn5td+E+dXJ1OmSrQNteNy55WkqiJBXG0I8nb+CPby57jzXd7xU9ZOGEK3tLC/6jZ7L4b0\nXssrrW7FYIbs/pDZKz6gpUUPoe7xs25VCoF6tbcpGVoOgqy+TQe1DFRA+ed+/Pc/y/XuSxh6/1Be\n6byML6svbPJa2BU/I6Wt9OpSQ934Lhw6vTfBzCMHo9SDYTK65kconwdFM6DwRSflL2ym5tm5eCa/\nTPCZx9GfvQtp8vXIU/6E8tzVyP++Dv59M9orj+N7eSrOqXOpfHsPhW9pFE4Pq8ndu0BrZj3H0TeP\n8Z+u4e0r7mT11BGM3fWd8HupvyXTOn7L9Q+1xPrVPTjm1xC9KUQ2ieruV7P+xhhfWD2oBqBsQ9jb\nvREKZL0BJfltkd2iujZgs+LRbZhjFh8CDkhqTxxCm73oqo4SQ3hH99RkxYWByHnc2NDqJf0tBhpo\nc7qowiyYUkIateyjY2Nam9FGcseLY/a+Bw5jKHRQRA6eBsWwWWL0x8kYon26QzpVl6yk+pCBzfRp\nbFvfB630ezie9C4as4oln+dQRfgidLjUzPg1qaR2iyEJVR3n09so7TMf79dFGHOstJvWk+yd56Nd\n3xfd3PQ2A2OtizafLKHPDc8yqttEzsg8j46jbiJw2xPse/4Vls98jy+XfsEnP3zJx+u/4bMtS/jy\nwFoWmh38bHTjakLJ3QCLLnOVN5t3artwSjCsKC0ybmJxylNUGfeFm13lp2LMEgLrqoWy1dedhvOq\nociodGdH46aLUJGHuhfFsa33JAOyErnGJVGkcO080ZfX268rUpTXuYN0VAwoqMjoeHZ6hfx6jjgG\nRQhvHRkdzSuOnSFT7ICh1/9X3DYioVPtbyGkpVHTqExvQFCqIgnIqPeGKSGy2Kv0aGJwioJ5TzWl\nhiMQ3vIeCjt0F9Lcu8N2JJmZnYX0Hmnb2ZQmkuDKwfidVWp2DzRzxBZN9jqQy3eSkgI9e6jhsWKl\nWGax/wTYehwFdEsLQlmict14uImYJ5JEcLS468e0OJLPbJY4+WTxOVy48MTYuQTSxXeVqeYr0Jq2\n4PpfxoQJ4kr4woVVuFzHx1s9oIwXnnuD/jOytu+41J1AAgkk0IAE4Z1AAgkkkMAfhmHe4aSokcme\nLukstC1AjWKE7k7yMdAoflA/XGdjfyj+ldW1awZ3XJcEdWHSeHaLBzlg7ivk2X333QQdTXt0/hIk\nJHI8t6No0W0Ocdj+LBpHPxEzeR8FLWoC0WhtcnwnUjbdxF/cQ1CiFPU+KcR0+1qCx2DJctJ999F+\nrBjIacfHH7N5+vTf3NbfiiuGB7hnnEjC7C1TuOyVJJw+kDEwxH0dRi1qAUDSWWufgUeq5pfQLUlj\nziAnGTGk90sHLSzJbMmnn/bBFrNtf8qUgzz55P5fJL3TR46k/5y5GNJFiW7qV3sZMPY1brS/QFtr\nRDG+MWhgTFUyO4IyGVoGVzqvIjcokvmqrPJe67b8aH0Ap1f0m++RvoN1EwYzsfN7APgUK5M6vMK5\n3eZRaWxBcg7kDA/7dcci213H3hVGdu5OQtdAksIe1DkjIa1T0/am/iIoe78G7d4HucFzAac82I8Z\nA7/n/eob8ahNqy/7+HYzyrCFvMEh9l4xgq3nDceVfwTldxT0AATKwjYodRvB8T1ULggrtcvnQtns\n8P8rvg6n1/wAzs3gPQSa58h11/bL48Y35nDa2xu5ZvfHfP/qyXSoFhe+CrzteLPzt9w6JR/Lurfw\nfTgXX4z7T0Y3UOr5q63WnswryueSjJ/RNajYBKGYdmQ8BtbhUGnIQHaJFkh+mw0nyXEK70B104Q3\nXg11rw8JE5IeboSGgg+RGEwisjBmRKWKSIfoc7+Yt3Kug8B2J3Uk4yJCpA9/xYYctRikOjX23HKQ\nDL2KbfRsJNFTuyic9r5ooq5V+Kk4eykl1WlsI6yalSSJgU9a6f9oTL8JaJRfupqlz9s5pIfV4xm9\nDUxYn0rna+IXTUJ7nFSeu5yKc5YS+NmBpaONvLd60urQeKTHhxPKO7IPv8nhJGPlFnLf+JKuD71F\n32v+xeBzH+CkM+9m2KhJjBj6N/pf9vgRatDJVUOcFvRwcqiKP/mysaJQKxex2j6NtUlvE6gPNOxf\nV0XZwG/jyG7XkK5UvXoZoNOVXSQR8cupuWsDuCPvTzU9iYG3RsahIIZGFbSu63g+i4qKCrQeJ97f\nGsJEvLn+HeXeJo61yd3Fa9zQl+R626hYwls1i/VLsVEvG9IlDUdAvBdp1BDCSDDa/kTS0QmSX29r\nUkbEOk3pfGTC21DuodyYhd7MdDhLrsTZUdwt5d23D11VUUxdhfQuqbvZkiku6BuaUHgjK4RyhwpJ\nxkM/ANCnb/27WYx7y9b/coU3QLCdaGtiatbWRCS8jSsXgT+yunjGGSLhfUICVwKh5JPRDJFvNUlz\nYqxbdIQS/5sYODCFtm0jz7jPp/Hdd8fL1qQVIVnc8WDSEirvBBJI4PgiQXgnkEACCSTwh8GIidM9\nZwpplYYKNpgje/4NUtjaxBa19dutS/y1xt6kl+Vddw0mz/IDqF5UycjUNjMEP9BAWRl7H3742Nus\nZ5DjuVVI8xn2U2758KjrkvQ0TJ4nhTTdsIug9bljbl9zyFPTucDbW0grNNQyy9bEJPwXIMkyY6ZN\nI61TJyH9+4ceomj16mZK/XF48HwfFw8RFw02HDTw59eS8AfBpmUwyH01RC0ABGQXa5LeRv0VCxc9\nkjW+GOgiLSaA6rP7raxq2apJpfeLLxbw0EN7f5H0ThkwgAHz52Nu21ZIt68tpvcp07g+9G96pET8\nnA+rCmdXJbPMb8CiW7nAdRH9fQNjq2V+msz8NndT7hQViklGN++dejXvjro6bHECfJ1xLr36bWV2\nxgUYrNByIGT2ACmGZ7ERxHLAxU/Lk6irDn9CygqkdQwT37ZWNAnvQSh9x0Hgvr9zRem5XPBQS2aP\nW88Lzskc8jYdANWkq5xRvYpzAz/QqaeX3deM4sfLz2bfqF4EM46s/j5e0FOMrLv8PMZ9/hMnT99M\nn+Aedk/uyp0rXkTRxb6wpnYIM09exm1T8jAdWIr07sM4Von1WTIjgSoBHmv7GIM3fExrtYyqHeGg\noNFIuhSSr4MqJZ2AbEZ2iX3Vb7dTp6dgakrh3YEmoW7y4JcPYQtF+oULkXBWQuLfVk3kBDlnGMns\nH9UxdNj/SCEZOASP7qR2CkMnx5DjX9ZQ9WklZvzsITKW5I03MeBxkcgO7aijcvwKCn2t2UmYXJQk\niYH/sDHoaXH3CjrU3L2JVRNr2ejpgYqM0S4xakYSZ36ZjK1NfBwI3zcllPX7hsqLvifwswNTSzNt\nH8snf/9Y7IvHEbquP2p2cly5XwPN1KDI1TESIF330F11MVitoqd+CJNykMPGYg4YK9lh2sRa+zss\nSZlMqSmsCNYDKnXPbqd8xELUQ26hbteQrpQsug3dYiSXAtpEWZm4Pz6Id6bowTPoCTNGe+TvLyIH\ntf79GFhVgbI3Ql6FDCZOn3hQKN8Q2NKCDy2g4dkhbn3IG+iMyR/uS0r9wmqwSiQsTTEBYqM9v6Mh\noaPpTU9TgzFBh3WCtKuP9RFt0SNlNBMcoB6GMjchyYhHbj54dOuMamozIr9rfj/eQ4fQpTSqnREy\n3KQEcbQSH0TlUNOxM0J5MT7eBWHCu2+f+mu1U8y/LfTfT3gH2olEtqHqJyRPvI2a2nsQWlZkEJQ8\nLgxrIv7YZ5wh3ts1a1Tq6k7ATjLJQCBNtOKKDmT5/wskSWLCBHEXxNy5x9HWRE7YmiSQQAK/LxKE\ndwIJJJBAAn8o8kPt6eYXSbjV1tXUyBG2p6NB46kUUeq4PmjgBVe8YstqNfDW6yORKhYAcMDSny9a\nPCjkKf3kEyoXLDjmNqcGTyE1cKqQVmGZiUfZ2XSBI8AQPB3FL06kQpYZqMYlx9y+5jDK34H+gTZC\n2krzAdYbDzdTonmYU1I4NyaIpRYKMf+aa3AWHb0/+PGEJMErV3s4pZtICC7faeTG6XZUDVqFetLd\nd47we42hgE22T9GbURlGo3eKyqyBLlJiSO+n91pZkd2Kzz6L9/R+441C7r57N5p25PrtXbsy8Lvv\nsPcS/WLNex10G/EOfyp5gRGZy2nY/l+ny1xSncSbbjOSLnOq9zTGuM9C0cXzb7P4eb/jZRQGRCsd\ngKu7vMf6CwbRJyMcFK/c1JKLus7iis4fUW3MILld2Nvb3ITgtUXARfU6jZ/WpaLWi44NVsjuC62H\nNq0Qh7DyuvSdWly3P8mFa4Zw0+0lFN4zj5dTP2ZB9VjUZgguS8jPmJLlXO74htOs26ib0IPv7rqG\n+TdcxdoLRlPWrx1q0pHJrV8D3Szj6tWGxX+5ksv/s5TOK9xMuebv3LjzPxT8I5d/z7uXbFdFXLk3\ny26l8PZ5XHd3OkrRBsxvTqTiS5Xo2KiSSaZFz3BfBdhk68sXRZ24Ln8bdYfAFaMEN58EmVPC+YuN\nYYJIdscovK12avXUOMLbX9084R362UNQKceqRiwZ3NiFJyDNUCPYmkho1NYTn5IkxVmLVH7hwLPa\nQQgjZVEey93/ZqbFMJHQ3P3XgyiHHNSQRnmUP3j/R620v0TMG1hZQeUl33Mw0K6R9Abo96CVU2bY\n4xZkPB8eZPOIrSzf3buReM07z8TIbV2pvekUdCme+PbOPkxZv28oH70Yz5zDoOtkjE6l/dvdySse\nh33VeNQnTyEwpgta0q9baDGbNLrpB+mk7yOPAjKlYoJKKQ7FgV8KkkIt7dnPUH5kl306RaYNYaWy\nruNbUEJp32+ovW8TBMWxxj2ynuxOttKGIjqzt/G34I5aqm9aJ+SXe7Wg/82ROxtC4QAR6X/ZK2Kn\nKxsygtysCiF/g4WIBR9169yCYtuZ1oouHcV3SYPC21jff3wHxYVIa17MPW6O8JZ0ZEncjdSwkB1L\neGtSgNT6xcyGAJsActqRiWJDeXgxwSslNZunKVsTT72ticPTTUi35PjwaZG2yTVlSDVlcXXGEd6H\nw/etT5/6v3c/ELVOUKgq1Grxffe/CbqtDaFM0dLFdPjr+IyyTPDUs8V8SyO2Jrm5Ml26RN4DqgrL\nlp0YlXesrYmx9ltQj94W7v86YgnvhQurcTqPzz0JKuehE3lOFX0Hsnb039UJJJBAAs0hQXgnkEAC\nCSTwh2OU9zQsWmRiqkohFtkWCsTjn60BzjaLBM8zLgsbAvGT2EGDWnH/TRZwhf3/Pm/xCIfMInm4\n+847CdXVxZX9tWjjuQWDFsUsSVq9tcnRB280eR9FUkUi2m+7H00qaabEsUFC4kr3AFqook/0x/ZN\nlMnOZko1j4yuXRnzuhho01tRwfz/giCWZiO8f7OL/nniRGzeBhN3fRAOfNrVdxatAqLqvcD8IwdN\nMVLcZtA/VeXzAS6SFJHAfma/lW/SWzFnTn/S00Xi9d13i7nttp2o6pFJb3Pr1gz46ivSRp0ipBsr\nPHQe9QEXrHqZc1t/gVyvnFSReKDOxh21NgI69Az05mLnZdg1kbypVQK83a43Wwx34g2IC0bd0nax\ndsIQ7uj1AhJhn5JPsq6gR7/tzM64AKMNWg0O23DEensDZFbXsn2Zme17UxoDy5pTodWgcDlzM04k\nvgIo/8RNzW0v0Xdaf2467SP6vDiJN0/exQt1/2Kbq0ez10nWdQYWbeSmbe9yc8GHXORdhrl/Bitu\nv4q3nnqMyf98nucfe4pPbr2JHy4ew+axQ9k7qjdFJ3WivH8eJUM7c3BUb3aNGcyKK87nnbvu4r5n\npzP2i810XuNj3Os/MP+MC7n64KfseqYb618YzO3fv0yarzauLQe9eTyofsmw959k9FlGlIIfsb42\nnvKZHjTR+YEWPTQMUTzxnXnPYfh+Oee7V+GIsZP3tE4m+22Q6vnVknrCW4lReHttSdTpKU16eKeI\njguNCG1oCFwZUcKqGASiEMAUihCVCrrgjZx/oYkWQ8QOse/+QtL1KnbTmVA9gSHJEqPesoIpMt0I\n1aps/9M+0kNV7KYL7npFriRLjHoviVaniPX6viqm6rJVHAzmsp0I8djlGgtjvkrGlCoSgcFNDg70\nX87Ct7M4oOcSQuFQWldaT+tD2Yb78JzShabgX1pG1QXfU5I3l5r7NhLY7EBSZDKG28l/pC0dvxtE\n29qLSN53OfKXEwj++0x8d43Ee8UAvGf3wHN6N7wjO+EbnE+gR0uQvFglD2k4aEkpHdlLPzZyCisY\nzHo6cAA74XuhhzQ8Mw9RPnQBFWctJbQz/j1VPekMihbfhZ5sIZdDdI+SAatlXirOWwHOSP/QTEYm\nfBQUvLsPkk+g3mM7uLsOZu0WztHlVvE9UUorVAzIqFjxUrNEbNeBnqfRO1VUMTeQ0RHCW3yHJ3UU\n75e/nvCWiSH3g0kYYghvtb5fxSm8pQC2esI7OmgmVhmMzRPFxrIw4e2Rbc3m6aw07+OtSuJD1i1z\nF1s10WKqKZW32qq34F0s1RVDyEePHiqKokMQiAkTsv3/hMpbDPTYpI83EBgdk2/ZN2Fmux7xtiYn\nxsdbtQ9BM0ai/0q6F2Ptd0co8b+J/v2Tyc2NfDv4/cfT1qQFIVn85kmovBNIIIHjiQThnUACCSSQ\nwB8Om25jlPdUIe2wsYDtpkgAR0mCF1M9ZMmRibBK2NrELc6NAbjrrkH0bbkWtAAhycTU1jMaJ8gA\n/pIS9j7ySHzBXwmDnkyO+w4hLaAUUWp996jrkvRUTO4XIVqRK9cQsN+FzvFVM1kxcp17CIYo9ay/\n3s87cAzn6jhuHEPuuUdIK9uwgWX33nvCg1gmW2DmJBedW4pEyfsrzTz5hQUJmUHuP2NXxS3sP9s+\no0rZ/6vOMShNZeYAZxzp/fJBC59as5kztz8tWoiEzMcfl3L99dvw+5vouFEwpKTQ99OZtLzkEiFd\n9oZof9Fszpr2Cle0exezHGFT3/eamVCVRIUq0UZtw1V1E2kbbCeU12Sdz7KsLMp6hHKnSNKYlQAv\nDLuL784+iza2sFI/Vu2dkhe2LLGLdrYAJOt+bPvqWLksneLyyKTYkgGthkD2gHCQy6YQKIfK+RoV\nD8zDet85/MU3nhuftOF++lte6bKC6TV3sM/TjFS5Hoqu0a/4Z65d/x+eWvEE076/i5d/fJi/Hf6Y\nXkkl0COLA6NO4sfx5/PVxL/w+cSb+PriiSwfN4H9g/qTnebn0vL5zPjmRqoea8Ghf+Yz6z8X87cf\nptGxquk+4VZtPFv2OIsvX8+9n46kbY6OcdsXWF69gLKP3IRiuc+ynQAAIABJREFUuPGUTjL2iLUw\n72VNZNlOO0+nf4tno6gYdJpTCL6WgxKlki8xhgvHenh7rSnU6qkYU8XzBWvA0oq4dIDQGhe6phOS\nHJjUCJnjRiQ7rboPENXBjeS0JDFkikgS1n7vxPG1gyTc7I2yK0nvaWDoFHGhpXali4OPFpJFBT/T\nt9GT2WCROHNOMmk9RHLPO6eQqstWUuDP4Wf6NPp/txtrYvzaVNK6i/l1j0r1DetZNb6cpYcH4sFO\nJtUM7FeIddkESufdjG+gSEw2QC3y4nx2B2V9v6Gkyzwcd/6Eb1EpmieEIkNaB5mc82x0uDuLzs/l\n0uWjbnSZ34+uiwbQ5fshdF47nJ7T8xjFCoazmoFsoBfbyOcQmVRjrB9zdU3Hv6oCxx0/UZI/l6rL\nVhFYG08ihVJsFM/8K5UvXYFskujODkHZrVb6KD9zKeo+cQFzwDMpZPSOEIcubIK6u/SxvUhqZDyq\natuV8ZduEOpoUOvb8CABVfNrhN/9g7qSrET6rxcL7nplvZEgqkclUBpFwksyrTuK7WywV1FiYkvU\n+NMxyKGYvM0Q3gSw6w3/lvHVk96SJCEdQeVtqCe8nUrzyv128mGK2otKbt/BgwDYk8XFk57p29hk\nEMnxJm1NDGb0lMhgKqEj1xzGaoUuXervScwi2P8NH2+RyDZUrQct/hsjNGgkWnJkcJIdVRg2/th4\nHGtrsnhx6MR8W0hyfPBKx6w/vh0nGE3ZmsyZ8zvammhfwAn+lkwggQT+d5AgvBNIIIEEEjgh6B7o\nERdwb4V1GR4p4lmapei8nCpam+xVFf7ujFdkGQwy7741DFPtcgD2WQcxN/NeIU/JBx9QveTYrUNS\nQkNI94vbcassc3AZfj7quhS1P0bvnUKaZlxP0PLKMbevObRT07jI00dIKzbU8ZltczMljoyTHniA\n/DFjhLTtH37I1nffPdYmHjdkJuvMutNJTrpILr/4rZVXFpgxYmWo60YUPbKVXpdU1iZNxyf9uh0A\nQ9NVPh/ojLM3ebPAwnQpm7lf9qdVK3Gr/ty5FVx++eZf3Aosm0x0f/11cm+/Pe63Ng8t49RbX+KG\nNq+SaYpYD/wYNHJ6VTJbggp23c5FrksY6BscV36dzcNHHa7icODiuN/ObLuILRf15uL2n4UTYtTe\nBjNk9YGWg8BgjytOu4CDwEYfK1Zl4nLKDVVgy4LWwyC7f/OK71AtOFZByb+247n5dnpP7cQNfV/h\nkldPoegf63mmwzpeqXuCn+oGHPHaRSPVV0efki2cv20eN6x5m7uXP88/vnuM5768h2e/uo+n5z/M\n4wue4NZVU7l48yyGHfqRVN+R739lIJMpJY/zxsid/Gn+JC68XEFSfVgXPIrhleso/dAfR3Zb2yeR\n3iHSTxxKGvdkPk73xR9y0cFFgu2JLkncf/l0eg8R2a6IpUmMwtsaVnjLBjDGXNtADaSK3Fv4HDUq\n6k4fbuNWUoKR4HkukhqV2QBpxlqsRBZWrPg5TMRnvs2pRtqeLRJTe+8owO6tpYyWjRYoAD1vt9B6\nrEh6F0wuoXpWBSnUsYm+jSS2OV3mnEUppHSJIb2/KKTinGUUO1uwnkGNJHlqF4Xz16TG2aEA+OYV\nUdBjIc5Xd6GrGjI6uVIh/c51Ia/7E6Vf3tys4hvCAS5dL+6i4swlFKV+RtmQb3Hcvh7X9H34V1Wg\nVvl/FRGnqxqhQ258i0upe2Y7FeOXU5w9m/KRC3G9tAu1yBtfRpKove5kDu15Ctclg0mhlsGsEzy7\nQ4fdlJ+8iNAWkYhudXUWAydF2qUhsY1eaPX317OyEj4RbQOS7uqLTYmo+l3YqKq3M0nGiXe/j7of\nRT/xdmPFe1RKK2i4j/hxbhDf3TXZ7enaYq+Q1kBeG2IWXx2+dCyKuGuowdLEHBPkWdIt2KMU09G7\nFY5IeFeGr7tbbjqALoTJ/roMcYG0YadYUrK4eNg5ZQ9b7OJ7VimLkWrXQ03PF47lmnBw4kYfb1F8\nz7b/A4S3ltwBzRIhRiXVh+zcG5/RaCR4ylli0pKIGnzYMAV71DumpERn+/YjLxb/XoizNXEuRgrV\nNJP7fxexhPeiRVXU1R0vW5Nz0aMWsRR9L4retP99AgkkkMDRIkF4J5BAAgkkcEIgIXG650wMekSF\n5pN9LLcuE/KdZQlytU2c4M7wmFngi/dYyMtL5YVH7eANe5PObPEYh00i67Pz9tt/k7VJa88NGFUx\nOl+h7TlU3M2UaB4G/w3IwZOFtJDldVTDr7PYOBqMDOQzMCAGRlxtPsRq08GjrkuSZc564w3SOnYU\n0pc/8ABFP/zwW5p5XNA2Q2fWHU4yk8RJ8mOf2/hgpYkUrTUD3ROF33xyLWvt09FilIbNYUiaytxB\nLtKN4jneKzLzcjCLOfP6k5MjKgeXL3cwYcImKitFpW4sJFmm42OP0fWFF8Ag9vOM97YweNzL/DX5\nOTraI6xIoapwVmUyn3hMyMic4h3Fua7zMekiEVht8DE9txubzA/h9IgsaYbFwWdnXMqHp11Jhjms\nNm1Qe1/U9XMOm9pizYSc4ZDWGaQmviJzXVWU/gDL12Xh84VJKEkCWza0Pims+rY2FyNOA/duKJsZ\noOrez9AmXcjQWd25bfRHXP3WSKxvLeKtMw8w2fgJb5XdzFZXzyNex+OBgGbky/LzeMT7EfMu28nV\n303i2klJWCygHF5D8rRT8b86ldLPibMxsXTKJLuTi2jr6L92nIZ1/nxmMgMpKPa1l896AkbZkKMC\n9pYZsvDWWy7ITnEc9FiSqdXDSslYWxN/JaQ24wwT+sGJXzmIPRQh5zSUOJV3wBvvt+yKyjN4so0o\nnhHvPj+Hni6mBZVsoRcqDQsfEqe9a8UYswi08+r9qFurMaCyhYgFla21zLglySR3Ekk+/5Iyyk9b\nTGWZlR8Z2tgWU7LE6E+TOPltO4bYeJauEDW3/UTZgG/xLSoFwEiIjtIB+p/nxLz8Ioo3PEjttSPQ\n7Efw6A7pBNZV43p5N47r11A+ciHFLWZRZJtJcf5cyoZ8S/mpiyg/cwkVZy+l/NRFlPb/huL2cym0\nzaQkfy4VZyyh9v5N+L4sQqvyN3sq99m9KVjzMGVvX4OUbaUbOxjMepKi3jH+leWUDvouzv4k5cxM\nzn5TRYrqdPvpQA1hM37dr1J24yahTEV+L66+VRy3D5GHjoyBIDY8lH1cLfxe0HUE5wxbIaRVEt6W\nIKGFPb9/FHcvFHY6iY62feLfWn8PYxXeDn86rayixVdVff1JiPUqehL2qIDEgl2I5QhT3frHzCM3\nsYJXD5vkwWtPEdJCznqVekywy1RTLSUp4o4UySVetwZoaTHWJ44w4d2nb/11iCW8/w9YmgCo6aKV\nnOJomrgMjo4JcrlpTeO/zWaJk0+OtTU5MT7eqrUPqjmyY0XSgxhr552QtpxI9O2bRH5+ZNEyEND5\n9tvK41K3LqURlEcLacaErUkCCSRwnJAgvBNIIIEEEjhhSNPSGOoVAzjtNO/ggEG0Engy2UMHRZwQ\nT6q1U6nG+3Nefnk3Tu/xM2ghgrKFqW3eaSReAPxFRex7/PFjbrOCjbaeuyBqgh1Uyimyv/Srgh9G\nQ0LG7H4WtKiJs6Tjt9+DLh2fyUTkXBJXuPuRrYoez5/afmafcvR+jObUVMbFBrEMBvl64kQce/b8\n5vb+VnRprTFzkosks3hP7njfxlcbjeQE+9PZd4bwW5VxH1utv36i1TdFZd4gJ1kmkfT+tMTMv1xZ\nfDl/AJ07iwzcxo1OzjlnA4cP/7LneZurr6bf55+jpIreFEkrC+k57A2urf03QzNW0sDc+JC4udbO\nPbVW/Dp0DnbhyrqJZIdEdZYmaczOgPk5D1LiGhF33is7fcy2i3tyft7ccIIkMTvzIrr338HknPsJ\nKQbSOkCbkU2T1wY08qor2LfcyKKNrQlECZMt6dByALQZAUk5NPslGnRAzWoofrUMx20vwM2n0/nt\n7kxs9TS3PGHhooWP43l+FdPHHOSZjK/5d+0UPi67iq2unnjV+OC2vxZ1oWRWOkbwWukdPMJc3jzz\nMJ0+eI+754xlwqUKZjPIFTuxz7wa85SzqXh9N46VEGNBjKVnG1q2rxIWBd5seQOr96Tw0Z5HSAqK\nC2Q1vfJ5cdijnNJKJBEPmiL2NEqNSJLWJmdTp4fJOEtL4Sd8pc0T3sEfwoShThCjGikYS3i3MRWj\nRClv7Xg5QH7jcWYfAz1uFknigiklqDtqMBFkNxH1tK2lzNhZFjBGBaRza2wetxtzcRUBzOwgYh1h\nz1E4d2kyKd1Eoi/4UzVlg7+jZqOfHxlKKeH2S5JE1+ssXLAxjexh8Yuhwc01VJy5hIpxywj8FCYh\nDajkc4jB/QvIfmcQ1WWPUvLB9bjH9kI3/jqCUfepqIfcBNZV419ejn9RKb5vS/AvLye4yYF60A2B\nX1anajYTtdefzMFtT1I0/w7UwW1pz36G8wM5FEfOp2rUPbWV8tOWoJeLY0jyqAwunKujmCLvpjKy\n2UdkYbLkgV0Ydoh2BLlTOpFkjKzWeLFQQjjGRCq16EGN4jfEModOHUe/lI1CmqvezsSCDwniCO+a\n7j1JNUS2QAQx4Km3yTEi7l6o9GTT2lospJXREiMBTNF5dQUZC9HDfPTOBN3b/LXX6/3NPUdSeEse\nPEki4a266p8fSfRqSjXVUpkq2klJdc0R3rnCsexoUHjXf+fEWJrsCCn8QhiI/wqo6WKMDINjS5P5\nQv1OEo6VfTv/K328kSQC6TGWG9WzT0xbTiAkSeKCC34/W5OgEmtrMjtha5JAAgkcFyQI7wQSSCCB\nBE4oBvoHkRVDyC2xLSJARAWbJMO0NDdKFKFcrsncUWuL+yaWJIm3Xh1AauB7APZYh/JVhmgdUvzu\nuzhWiMTS0SAp1IdM/wQhrda0girz0St/JD0Ts/s5gUBHrgyT3rEs2m+EBSPXuYZgjPIOD0kabyet\noVryHKFk08js1o0zp04V0nwOB3MvuwxP5fEl7I8F/fNVPrzFhckQtb1fl7juTTvfbTbSw3seWUFx\nW/o+yzIKTGt/9Tl6JGvMG+yktVm8V3PLTDxQ0YLP5/VnwACRGNm79/+xd95hUlTp9/9UdY6TmByA\nAYacc04qCigGsiiYs67r6hpWV9ecMLuGdRXD6hpXFBGRpIDknGGYgWFynp7OoX5/9DDdt3sGAfmt\n+t0+z8PD9Fv3Vt3qunWr69xzz+vk3HM3s3fvz68KSBg1igFLl2LoICoHdQV15A19h6mr53NBxmeo\npBAh8E+HnsnVFor9EgmBBGbYZtPH1Tdq37v19byTew6HpNtwe0X1bZqxnC/PuZD3xswhSRe8lnaV\nmXvaPkGv3jtYFjcOjSFIXqcOAK01aveY8NCxopRdy40s256ON4yz0JqhTQ/IHg0JnYlS5obDUwY1\nP0Dx8+XU3vkm/psvxHhHO3pvnM6sLu9z/f0Wrlp0FWcvfQn3C2v4zxUVPDPgME+kr+JZ3Qc87XmF\np2qf4KXqe3mj6g+8UnEHL5TfzUs19/GM7Wn+5nmXR+OW8HSPvXw8oxj9K4uYufwB7vhwJJderSU9\nXQGfG83+xZjfn4rhkWHUv/AVpR+Cu4U8s+bhHUnNLBHI7jWWYTyjzOWjb2eRieh7Ym0L94wP3kej\n01cJ2wq1IWJMXSsSnDXm1GaFt0FcdIKzDOJEsWUzfGuChF2jZjPxntGhOhgEBbdW5cXlECcP/Kio\nJbQyYMCjRrRpoeXoildh/3WFJCjVlJLWrPoFSB2mYdgLIrnoPuphx+QDWG1V1BPHATo1bzNlqbjg\nR2tUgkx/kYOKEUuxfVLCdnqzly7Nk5pxeSrOX21l2CsmNJboCVHXNyWUD/iWykkrcf8UtAWSUUih\nkr6mPfS61I9x8SQqqh6m5LMbqL9yBJ7c1pYk/DL4rQYaZgyk5NMbyK98nvI356LrZiaP/QxnDbkU\nNHt+A7h+qKC8/7fU/2UH+MTxJvnCBKYuAbUhdM51xLGTnhyX4Tf8pxT/86K6+8iEC5g1bbUQO0xu\nc7LKOOqp/LQWd1HoeezV6MmbpQgrEcpIxUOwrxhxEPAp1K0U/brjB4rXvpaEprYpUTYlh+s7NOcU\nOI5yUjFFrKRSKWYkJNxNpy0RwBCeSNpxgmeoOthnwhXhkTDiwBlJeDcpvBXEeJy2nmqd2FdkW8uT\nyYEoS5NCADp3biJ9K4Ha0HaHIlHo/+2/tvviIxXeLRPeSlIKgTCrGMntQi4KCR0ifbzXr/fT0PDr\nEKCRtibqxh+RvGeO7P29INLWZPnyGurrz8xEhEc+FyUs4axKOYpK2XKCGjHEEEMMJ4ff/pMzhhhi\niCGG/9OQkTnLcQ5SGOHboGpghXGZUG6A1s8dZpHw+cat5X1ntHdrfLyed59vA43BdcEfJT9MibaT\nUGbfrbfia2yMqnuySHPOQ+9rL8TKDG/gUO1vpUbrUPmGonbdKMQCmjX49G+cdvtaQ2Ygjjl20QvZ\nJrt53bwO92kksex4/vkMufdeIdZQWMjXl16KzxntTfvfxsguPt66xi6QM16/xNzXTCzfpWOg/QoM\n/gShzjbjh9Spjp30MfJMAb4eaCNbL65CWFql4aqCJN75pC9jxojHKC31MHHiFtat+3k/UGPHjvT/\nbinxI0YIcZXDS/tpX3DuU89xZfZrxGlCDMlmr5qxVVZWutWoUTPWOZ7zG6egC4iKXKfKzbtpJlYl\nPUx5g6jOA5jT6QP2Te/C5Z0WcFxJvs/YlbO6fc/0vH9TrM3AkATpQ6BNL1C3IJZMxEGHslJ2L9fz\n3dYMHO7Qz0+VFuLaBZNipg4AYyqcgH/CXRpUfpe966Diz9/h+NNfkG4ZhfHuXKz/uoRuBQ9xftvP\nuOaKWq57phtXvnMeV382i2u+vZY53/2JaUsfYPay+7h8+V3MWXIHV319Fbd8NpkbXxvI1felcslU\nHx06BIKJ5GoK0G79AOMX1xP3RCekhy+lZv5ySt4D+97mr6MZUpyVpPM60MZ8SLAxOaTvwC1xT7Dg\ng8lkRJDdpgwo6NeXbxPOI0lXxaBkcbLlSBPh7fAZUNWI91OdNUzhHUl4lwY9vFUtiN39B1z4iz3Y\nNBuJ844JPwMciBcwTV0unKgZu6Dy1sbJjHhR7FP1P9ooeaWCNMrZSQ+chBrR9Xodna4VZzcatzrY\ndfFBEl0VVJPE/jBluL6NzKRlVrImRCQqdPipnr6a2ls3c8SdxTqGYGtSGEuyRLcb9UzdE0eHS6Of\nDxAkviuGLaV8yBLs7xWguIL3rh43ORQxwLqLPhc7SXprEK782zha9gTFX9xE9V8mY5s2AHfPLAJ6\nTYv7bgn+JDPOIbk0XDaU8lcupXDbg+TXvEj5R9ciXZJHW2MJQ1jHIDaSzTHUYRYfvoJGqmaspnL0\n93i3R48X3e6N44LPJFS6sGcoFrbQrzkppGdzDbWXilZZ9ck5XPl2vjA21hFHMcFkpgnUIvkDHHlC\nVFpvH305Vwz5SIgd5fjEjIKZRup/tOGtDj1PnKZ4Bo0TV27VEPThUeNDDutjNo+Fckca6S0Q3hZE\nEl2lBK+5o6l+JHGuOFonSY8rvGWl9eeeUXLgNIoTls2WJujx+kJ9QKvyYtOJZSVbywpvf4JoaSLX\nHgUgPl5BdTwhcoStyf7fga1Ji5YmrSh1/Z3EJSiqA6Gk5Tk5Mp06hZ4TPh+sWvXr2JoE9J3xGULn\nJRFAbV9/ghr/N9Gjh5kOHULPB49HYfHiU18d2CIkK175bCGkjdmaxBBDDGcAMcI7hhhiiCGGXx1p\n/jT6ukUSdo9uN/s0e4XYHWYX/TTiS8+9DUYKfNGPs5Ejs7h6UiF4bXhkA6+k/7M5MRqA6+hR8v/6\n19Nus4yOHPtfkJUQeaNIPo6aHsUn2U5Qs2VoXDcje8VEg1798/hVm0+7ja2hvzeLCU5R2Vysruc9\n02YCp2jLAjDwjjvoNnu2ECvbuJHvbrgBJfDrJJsKx6S+Xl6cKyrYPT6Jy141s3Z3PIPt1yCHecn7\nJS/rTW/ikU7el729McCigTZyjSLpvalezbQ9Ccx/p0/UkuD6eh8XXbSdL774ebWYJiGB3p9+Ssa8\neVHbUh9fy7DpL3BjwjPkmkJ2MlUBmUtqzDxq0+NToKO3E3Nsl5PhzYzax2pTPR92mM2RwI14faKi\nto2+mgVj5rF80jg6xzUlu5MkPmkznS599/Fkxl24ZR3m9CBxndAZ5GhXCeJxkVdRwsGVWr7Y0I4K\ne1hyOQkMSZDSB7LHQGJX0CVE7yMcfjs07oXqZVD6ZgNlf15Bw13P4f3jFahu7o/xj+lYnh+I+YNp\nGL++A/3yR9H99ArarR+g2fU5ml2fodn1GdrtH6H76VX0yx/F+OXNWN6agPWxXPT39cf/8C3UPfox\nRS81UvkNOAtbuT5D+5M+UoMlIHoUH9a15wbrs7zxzmTSAyJZaUqHNt3h4ewHQJKYlLMIlRy6X0rV\nKTSqgoSe3WdBVSNO+DXGJVGnBNXWhnSxPa4ykDWQ0Kfl9nq/q8crVyEpEnpfu9A+seAmRBLHa+tw\nOkJjnETQCqSUEMPefqqWjHNF0jv/zqP49tRjxcb2sKSUkiQx8hU9qeeJpHft9w3snnqQJE851SSx\nj9D4pDFLnPO1he63RrP3jS8doHzod9QeUFjHEPLJbT6WKUvF2PctTNkQR9rIFjok4FlfTc3lP1GS\n/R9qb9uEe11VcyJKHR7SKaM7exieuoM+FzrIeLgD2o/Pw7HjJsocT3G4/nkKDjzG0TX3ULT8To59\n90eKF91G0fd3cGTT/RQcfIxDtS+RX/UCx366B9u7M9Hd2J3M3l56q3Ywih8YxEY6cBgToTFKURTc\nayupmvojpR2/wvnx0ai2S4l6zl5oYdijaiQ59GyrJa4psWfwOnr3N1AyaQ2yI6TS9qvUZP+jD+3T\ny4R97iev2bs7jnrK3q/CvkOcaFFf0ZcMXYgE96GioUntrMONBh+VX9QKdQ70O59RWRGEO3HNdcKR\nX9cRkOgSJz7/S0knHXFJhabJDszRdPp6xHtEcbSek0FpUnhH+oeHo0VLk+OEtyTh9ET4exvFfiY1\n1kALz8AoS5OmpJWyDImJTc9g8dJQGzjBTOBvBAFLRxRVaFyX3VVIzrIWy0YR3of2CJ8jbU2WLv2V\nbE0An1m0/lI5Ti/h9+8ZkiRFqbzPpK2JJ9LWxP8fUH79348xxBDD7xsxwjuGGGKIIYbfBIY5R5Do\nFzOvLTMtpV4OkUQaCV6Pt2MMU6TZFYnr60z4WuBpH3mwH7n6ZaAo7DOOYHHCLcL2krffpmLhwtNu\nsy6QSZZdtEvxqio4Znz6lO1IJNRo7fMhEMbySX485ttRpJ9XAZ8qJrm60ssjsmTbtCUs1u875X1J\nksTY554je/RoIX5o4ULWPPTQL2rnmcLsYR7mzxEJbLdP4tJXzOzcnUsfx0xhm0NVzUbTO6d0HbMM\nCosG2uhpESdl9ttVnL8tjjuf78E114hks9sd4KqrdvPii0eaibbWIGu1dJ4/n87z5yNpRHWpdXE+\nPYf+nSvrnmJEmxUcN5VWkHi20cCFNWZK/BLWQBzTGmcw3DkCWRF/BtaobbyVEc/qhCepaiEh5NiM\nlWy/pDcP9vsrOlWQWGpUWbi73ZPk9TvAguTLUWQpqNgeBdb2ILUgSozDRd/aQipW+/lkTTv2V4nJ\nM1VasOZA+iDIGgUJeaCN+3myJ+ACZwHUb4Cqb6H0XR/HHs6n7J5l1Nz1Nra7n8V5z/2477oF351X\n47/nGnx3X4PnzzfieuAv2O9/ltoH/kX5Yxspml9P6b+hZiU4D4PSCtci57YnYc4IMq2b0XpFtdse\nQ1f+or6bF9+fThu/mFzQlAFtesKK+LF8mTgFgCnHPdObsE8fUjrXehNQ14rEo92aQGUT4RdJeDub\neMHE/i232/NdUGneoF1Pgmdic1xBpgZxpiFOqSNc5W3CQSFt8TaphyVJYuRrBmRLiKAKuBT2zMnH\n6q7Fh5q9hJIHy2qJcz/WY+krkt7Vi+rZMzOfNp4yaklgBz2byWtZLTH0BRMj3jAhacS+4N1aS3mf\nxdQ/d5CD/g6sZZhgu5I8UM2kVVYmLLaQMqxl4jtQ5abxxQNUDP2O0g4LqbtzK67lZSjuEBmqx00K\nlXQkn17sZLC0kdHWDQzttI9+w8rpMbaBzme76TTRT5fxLrr1r6FXxyIGx29jFKsYxwqGsJ6e7CKX\nAtpQLSi5AXxH7Njm76V80BIqhi/F+VkRBKLHhayZFmbtNtD2fFHBXk4KmyPI7uKxP6AqFydhG+++\niOkXiAT0IXKpIxFQSKYSxe6j4C+iynrnsJnccP6HQuwgnZqV5BZsBHwKlZ+JyuaKESPJ0YdIez8S\nNoJq6HDPbYD8uk6AQp9E0SN8L13JQlx5o/cHiWN702+C8ISWik8BzwnGVFUT4X0CUk2ND5cpQuEd\ntjLM7RUJb73Bjc0fmvyRAn4kR3SSbMWShqIKlZNd9eAKlmsmvCPmzet/B4Q3sgp/vJgovLXElf5O\n4jNGdeDEhPfKlb+OwhuCySvDoXK2bNXyfx2RhPeKFTXU1Z2ZiQivfA4KoWeCTAkq5eTt5WKIIYYY\nWkKM8I4hhhhiiOE3AQ0aJtrPRxXmL+2RPCw2LcIfRgp0UAd4xCKqdTd61TzfGK3+02pVfPBmT1T1\nwRf7D1Ieo1TTQSiz/9ZbcR45ctrtjvOOJMk1RYjZtBuo1H1yyvuSlTR09ieFmCKX4jHefcoJMX/2\nWEjMtQ8g0ye+sC827GOLpriVWq1DpdEwccECErt0EeJbXnqJnW+//YvaeqYwb5SHp2eLfcfllZj1\nkpljO0fQ3jVS2Fah2cte/aJTOkaqTuGrATZGJIgvgcUumUmbrEy9pwv33NM+qt6DDx7mT386gM/3\n8wR7xrx59F24EE2q+PKpO1RL5yHvcMk385mR/T56OUT151OpAAAgAElEQVQkrfVoGF1l5XuXGhmZ\nQa4hzLDNJiHCzgUJVpir+aD9ZRyT/oDLI95XOpWHv/b/Gzsu6cXYjOXN8SJdDvM6LaBv760sjj8X\nlQYS84KEdVxuy8S3GQ8DGwvRbK7jP8uzWHSgHa4In1q1AeLaQ8YQhazRkNQdDGkqJM1J/oRVwN8I\n7jJwHALbDmjYDHXroXYN1K0NEuQNm4NqcVdRMGHmz91uqu5dibtiApndy4mrXB21/XvrOP5eP4NH\nPr8eg+IRtpkzg/7lfknFLbkvgSShVzmZkLVEKLdPH7JhqnEnoqqNVHgn0IAVj6Jp0cMbWie8vUsb\nUPwKDZo1JHjGISkh8s2DTlgNk206RlV9G6F+HA2C37alrYqRr4p9pXGrg4N/OEoq5ZSTSiEhGweN\nWeKCJToMXUTSu+qLWnZdeJAkRxku9GyhHz5CnafLNXrO/9GCsZ1IhilOP3V/3ELFiKXU7fGzgUHs\noGeznYokSWSfq+X81VYmLreSeU7rdiT+Aju2Z/ZSOX45xUmfUXn+Shoe341reRkBWzS5o8GHARdW\nbCRSSxI1JFJLIrXEU48Rp+DFHY5AvQfnkhLqH9hB+aBvKW33JXV3bMW7qWUrDHMfE5NXWzn3Qy3G\ntNA9oAAH6MQ2+jSTz+61lRQPX4GqVCRcS2ddyO0PrxBitcRTSHBcsmDDhIPD9x7DfSzUd31qLcof\nx9LdsluoW9yU4FLGj5UGqhfW4ikJfU8enZEBl4hK0HLSmttpRByTt1b0p525gHhdaKK3EROFtCOb\nIqGszh/sU44mwjstTBYdKBHvu0j4EoN9w6C0PpbUKfGoveJ+ZG1oksEd8fy0ahqo8onJX6WWfLwl\nGUUvJiOWfMHxOimp6RkQQXjXKb8DwpsWElfWtUJ450UQ3gfFfjV0qBpV2HPj2DGFxsZfx8fbb4g4\np/9RwrtbN5OQiNvrVVi06Azla5FMeOUJQihmaxJDDDH8UsQI7xhiiCGGGH4zSPYnM8opqoRL1aWs\n068VYnONHiboxJfQpxr1bPVEs2qdOyfy6B/84DiKWzbxXOZHeAmRHb6GBvZcfTUB7+mrVNKcV2Pw\niURvuWEBjertp7wvlW8satdVQsyvXYZP9+5pt6816FBzrX0I5oCoEnzPtJki1amrynVWKxf8+98Y\nU1OF+Mo776Rw6dJf1NYzhavGuHl8hkiwOL0SM18249g5g8QIX/b9hiWUaE7tOlo18HG/RianiH20\n1itz0SYrfeZ15NVXu6KJUKq+/XYJs2fvxGb7eSVb3ODBDFy+Akt/kdGUXT5yrvia8X+Yz40Zz5Fp\nCKkqqwMy02st3NdgwKUErYQubbiM3q5o34tqdQNvpppY1eZZyhrHRm3PizvI8knjeW/MHCG53A5T\nbyZ2W8y47svYZOqPSgsJnSBrNMR3aNnqRAb6eI/RvaCQ1d8n8s+NXdldlxRVTq0HSxak9vaTMyZA\n6gCI7wj6DD2SrmXl7pmElJKC/sIJtLlmFJltD5FQsgSVR+xLfmQeTb6Lwi067ljxoOBNDEHyPql7\n0MLlhfTb2GMMkj4XtF2ISRPaV71soVQdYrHtNXokf5gPvVGHT6sDJCqV5CgPb9dxhfeAls9Fqfbh\n22rHqT6IT2oQklf60HCMLKF8hrqU8FkAHR4asFJHiLTreKmWnOmiB3jJaxVUvFtJOqUcoBMVhBLV\nGZJlLlqhQ9tRJAhrFtezfcJ+rHUVSCisZ5DgLZ4yWMMlWy20nxrtz+1ZV01Z72+o/eMWiuvasJoR\n7CdPUKNnjNVw3hIr0w7E0+N2Pdr41olExe7D9XUJ9fduDxLgcZ9QmvcVleevpPaOLTS+dhDnl8dw\nr63Ee7ABf5WLQJ2HgM1LwOEjUOvBV9CIZ2sNruVlNL6dT92926iavpqynosoTviUqnNX0vDwLjwb\nWya5Aczd9Yx6x8T0TTrShotkvR0j6xlMAbk0J6h8t5Cy8StRVYurWsomTeDu99YIvt1utOymO37U\naPCQTCV1P9o49mK5UHfjeTdx1yQxSXE+7fE3PU+tNCCjcOwVkdzeOXw207t9JsRKCS5JUONFS+jZ\n6wuo2Fw+gD6JYsK6PXRDQY5WeAeChHdd0/lkELJa8R8SrVIi4W0b7Lt6pXVv7FolAUOjOGGgsoQU\n316faOWjV7mo9UcQ3g7Rt78ZcsRxA8Fxv1nhHVGt4feg8AZ8EYR3a4kr/bmdUeSwfA7FRyDsu9br\nJXJyRKqisPDXsbjwGzqjSKHxRvaWInl//cTc/21IksSUKWJi1jNrayImCNX6vwSldcuhGGKIIYaf\nQ4zwjiGGGGKI4TeF3u6+5HpEFfYG/XqK1CHiTpLghTgHbcL8bn1IXFdnwt7C+9A1V/dkZIcN4HeS\nbxjAe6lPCdsbNm/m8COPnHabZTTkNN6LKhC29FkKUGR6Aq/UOonRGjTOPyL7xCW0XsOTBFQtK6V+\nCZICJq62D0YVph7zSn5eN6+jQXKdoGbLsGZnc8GHH6I2hnmbBwIsvvJKKnb8Nnwvrxvv5pFpIlFp\nd0vMfCEeze5r0QVE1d5m03vY5JZ9SFuDXgVv97YzN0skXRwBidnbzLhG5PDJJ72xWkWi9vvva5g8\neSvFxT//3evS0+n39dekX3551Lakf26n36gXuM77JEOSfoQwa5a/2/WcXWVhr1dGg5ZxzrO42DYN\ni19cuq9ICmtMxbybezb7NY9S2xjBqhJManlgeh5/7fcgRnWIXFsRN45BvTYwLe9jtht7odIEyems\n0RDfCeSWcwnSkSrG1exFvb6O95d14L1dXTnisESVk+Sg53d8B0jr6SJntI+MoZDUAyyddOjaJyLH\nm1o4wslDzspCO3IIphlnk3zFULIH20hzLsF89Adkf/QE2XZjL66zPs+YL97nrPzFEQ2GpG5BexZJ\nCpa9r+2jzZuvyBNXQezRd+F45kuHJwFDnUi6uePMzX9XBFLQp4oqenc1+BygbwNW0a6/GZ6vg5Na\n9ZofSXRPErYpSPjDXhOyTUUcrRIT7SVRw166NJeTJInRr+vRtRdJ7/3XF+LaVEsa5eygp2A3YkyT\nuWSFBm2ueK3qVzeydeRedIUVWLGxnkFUEZoE0cXLjPvYzKi3TajjIohDn0Ljc/spzfuKhjcKKPC2\nZRWjOUAnwZ88rpOKIfNNzC5JYPynZtpdokUl8pfRUMB30Ibr6xIa5++j9oaNVF34AxXDl1KW9zUl\nyZ9TnPApxdZPKDZ9THHip5TmLqS837dUjl9O7ZXrsT2+B+cnR/Huqv/ZlQQZ5+k5b6mFGTuN5M3V\nI6tC43QAicO05yeGUt/0nQYavZRfs5n6uWuRXWIfrbzgLO78chsaVUDYx3Z6Y8eMRIA0yvBVethz\nqehFX5OSS68HrWTpQ5NbfmQKOD5BqBBHPY07HdQtF/tq/bRxtDUcFeod9++OVHfvrOqNw2dmaIpo\nt7KLHuhwRRHeuiZLkyNN55RJWPsOnngM9eQEx3mzv3VivEZJxGAXpdZqc+je06jFCQWb14JGjiDo\n1C0PdkrE7J8UCNZLSmrF0uT3ovCObyFxZUvQ6Qm0FX/rqQ6Jvu25uSJVkZ//K3k6Sxr8+girFudv\n4/fMfxuRtiarVtVSU3OmbE3GoxB63stUoA6sOUGNGGKIIYYTI0Z4xxBDDDHE8JuChMQ5jgmYAqbw\nIItN3+CUQi/HKSqFF+LEl+VDfhV/tYlkCwSJmDdfHYqlMWgZsCjhNjaazxfKFL30EtW/QIWsVVLI\ntt8lxHxyLUWmJ1BOkBSrJUho0dqfB4FA9+I23YYS+RZ8BtDR14YZDlHlWyc7ecO8Du8pth0gpU8f\nzv3HP5DC1Fteu52vZs3CduzYCWr+93Dj2W4evETsP41uiZnPZGM5cA1S2DJ3n+RinflNvJzaBIBK\ngvldHdyRK3rU+hWJP+4xsSItg28W9yM7W7SC2LmzkbPO2symTa0oA8Mg63R0ef55ur76KrJB3I9h\newVdBvyDacufZWb2+xhUIXJmt0/N+Corb9h1KAq09bXlsoZ59HD3jDwEjapGPmhjZ3H2Xyh2XUYg\nQmlo0jh4sP9DHJiex+WdFiAd9w+XZD5tM42+vbcypct/2GTqj6yG+FzIHh30sNZaow4HgA4/I3z5\njCzeS8mP8MLKXvxzX0+OtkB+Q5Ab1lrBkglJuW7S82rIGWwn56xgIs20gZDUV0P8gESsw7IxD++A\naWhHTKO6Yj6rF5ZzehE3sSdJF/ci9aL2ZE2ykNP9GBnGdSTXLcVU8hOyx9niscs0qdyV9hgr9nfl\nL5/cSqa9RGybRiKlL1iyg58dsoFZeR/iloPXK8tUxDlZ3wl1thhDE14lzrYk14n3jSM+pKyuVJKR\n1WAURdnYm5yaUsRFM83wfBZMLFiv/QGjvzNGb4io8qHhMOJqhzzjAVy+EHmnIoARJwfDrE108TIT\nv9CihCnuA84AOy84iKooaPOxhb40hJEapiwVU9do0XcPEYkA9l1ONg/ajXdtRTNZfogOzRyxJEnk\nzdMzbY+V7POjScVApZva6zZQ2uVrGhYc5bCvHT8wir10oZHQ80VtkGh/iY6zPrVwaUUCYz8yk3eF\nDmP6r0MwJg/XMuQ5IzOPxDPxGxOZZ2mRJLEtZaSyhuEcJK/ZGsS1qpxjvZfi+cf+qH3arj+Pu77Y\nik4lrh4JTkAEfbvTKEPjc7N7Zj7uInF1yrY77uOmvn8XYnvp2qzujqcODT4K7hf76ZHOI5h5wfdC\n7Cg5zR7jlojn2caywciSn3MyvxXiW+hHV/YKnudafzpqJTiAFMrBXhGe1DJw6OQIb6u/9UnpWiUB\ng711hbdOLW6zeS0YJJH8U7TRdmtA9HKXJoV3UmLLlia/Cw9vwB/fDSXMEkm25YO3seWykT7eP0N4\nHz7866l9/cYI5fr/qK1J164m8vJCggafT2HRosozs3NJj0eeKIS0gZitSQwxxHD6iBHeMcQQQwwx\n/OZgUIyca58kqN/sciPfGZcIXtbn6b1cZhDVWf906PnCGe3PmpJi5I1nc6B2E0gSL6e/TZVaZIj2\n3ngj7pKSqLonC4tvIMlOMfmhXbODcv17p7wvOZCN1vGoEFNUR/GY7j/jft4AwzztGOMS1VaF6lo+\nNG49rePlnnsuox5/XIjZS0tZOHMm7oboJF6/Bm6d4Ob+i0QSs9ElMfuRvpgKp4lxVTlbTO+d8nch\nSXBfRxdPdHEgRdR9oVDPM54Uvvq2H337ikRuebmH88/fxscfn5yyPG3mTPov/R5DxwjFnM1Du9lf\nMu62Z7kpdT5tjYebt7mQuLvByLTaYEJLHTrOdkzgItslWP1xkYdgn76Et9t1YIv5Baoae0RtzzSV\nsGDMPDZcOIiRaT80xxVJZmHiFAb22si5XRezxjIMSQZzBqQPgbRBYEwFWuFz0rExxb2DcUd2Uvij\nivnLe/PM9oEsrWyPO9C6HQEEXQM0JtAngiXFS3xSDYmWItqY80m2HiLZsJc2qh0kSTtI8O/EYt+B\nwVGA2vfzE0sH9R25PeNpnmq4mks/eJwL9/w7qowmQUXGUAVj2Crwazu8wV5jt+bPN3d/WbCYKCab\nck3IFmiXrRNtqkQisSExtMPjiStN7cRjNxYG/2+N8PbvcuLb78SlzsepyifZJfZ5NT7BPzvTWMyR\nilyhjBk7VSRRTSjhcFJvNaNfF6XSnlIvOyYfwNRQixUbm+kvkM7GNJlpqzVYBoszIN5KH1vH7qPq\nrRKylCIqSGEDA5u9uQFMGTLnfGlm3MdmDNnR1jb+w43UzFtHWbdFNLx+mEJHJmsYzkYGUEaq4Feu\ntcp0mKFj1D/NzCpO4KLtcQx71USnuTriupy4r50u4rqr6XKtjlHvmJh1LJ4pqy30+IMBc454vAAS\nxWSwlqFspw+Opu/PV+ygfM56KscsQzosWlF5tQYsz4/i9r9vOJ6jsRk76EE56RxPUmlU7By8uTBK\nob1h8q08dNObqKUQ2diIiVKCKz5k/CRQS/26Rqq+FI+/f+o8JqV/JcTKCPZtDR4MEZOIK4vG0zdx\nM8n6EIFmw8wGBtELUVFr9vUFoF5SqJUVQBEV3j9naZITHOPMgdbJutpAAsYISxN1GOGt14pEboPH\nikESJwtOlfBObEXhXfc7IbzRmAlYQs8hCQVV3Z4Wi0YnrhR9vKMJ719J4U0LPt6O/03CW5KkKJX3\nmbU1uUj4rPF/1XrW6BhiiCGGn0GM8I4hhhhiiOE3iRxfDgNdg4XYYW0+23XbhNijVgftVaLq55Z6\nE3u80Y+4CRPac/mEY+CqoFGdxHOZH+IPI3S81dXsue46FP/pq4hSXZdh8vYWYpWGj2hQrz/lfam9\n56F2zxJifu0ifNp/nXb7ToSLnD3o4hVfZDboilimO3ha++t9zTX0uf56IVa9Zw+Lr7gC/y/wTD+T\nuP08F/dcIJLedrfE3Psmoy4X+1+JdjsHdaJa8WRxbY6bBb3tGGSR9P5PuZZri9rwzmf9mDhRTAzo\ndge4/vq9PPRQPn7/zxPt5m7dGLBsOSkXXhi1LentHfQd8jzX1j7GuJQlyGFJ9Ja7NQyvtPKxQ4ui\nQDtfey5vmMcA10CkiGX0HsnDwrgyPm53FcXygzQ4kiMPxYDkzfxw/mg+PesSusSHKfYkiSUJ5zKi\nx2rGdl/OVwmTUSQJfQKk9IGskUHbE3X0Io1m5FDHxd7tTC3bSNyWSl77vht/XTOMp/YNYUlVB+q9\nP+dJ8ctwzGXh9aL+TAk8w2tV05j33t+49YdHiWuBIDe3V5ExwI8m7HweyH6ID5LnNH+2aBq4vutr\nQr3NVpEEyrd3JKFCnIirjQ/Zy1QowXvW3E48vr0g+H+bwa1byBxXeddql2DxDULnD+0kgJp9iH4o\nY1OWU1grHiiZKnbRXbALyZurp8ufxEkc+w4nO6ccIM5ZjREHGxmIjZCqWxcvc8lyNWkXi6S34lHY\nf3UB++fm08ZeihYvPzGEkiYfaAiSMLnTdMzYZ6XfgwYkffT47ztoo/b6jZTmfEndfTuoKDawnT6s\nZAy76E4VScKUlCRJJPVS0+0GPaPfMTNtbzyXNyRy4eY4xn5opt9DBjrN1ZE9UUPyQBXmdjK6RAlt\nnITGDCoDaCwS5hyZxF4q0kapaT9NS+97DYx628TkH61cVpPAtF1xjHjdTN5cPabMaFLdjZZ8clnF\naHbRExvB78df5aLmrm2UdFqE54P8qHoNmW0ZvjqXGbeJJGLQxqQXpWRynOyOo4HCB4speV0kfwu7\njmLiSzY6mcRnwBb6EWhSlidRjRzwk3+XmFCyqNMQLrx6OyopRFJWk0BDk52JFZFI3lrRj+LGbM7L\nEhMFr2E4PjTRhLe3HwBH5JCdiTWMJfbvanlFxnF4cqygKBgCrU8qntDDW1EwaqMV3voIhbcwAISj\nFQ/vOGtTL4yYF64/QXLN3xr8CRG2JqeZuPK3RHj7DDGF93FMmSL+Tvzhhzqqq0+cJPZk4ZPHEAiz\nvZKpQR34ofUKMcQQQwwnwO/nyRlDDDHEEMP/HIa6hpHmSxdiPxhWUiWHXsrNMrweb0cTRlU4FIk5\ntWZqW1BEPfboMHLU30HAyz7jCD5K/puwvW7NGgqffvq02yyhItv+Z9SBRCF+zPQ0Hrm8lVqtQ+O4\nFykiIabX+Ah+9cbTbmNrUCFzpX0gKX7RWuBLw252qU/Nw/o4Rjz8MLmTRH/goytW8P1NN6EEfr2X\n13DcOdnF3RGkt8src8OfrgNbthDfbVhIhVpcdn2ymJzqZeFAG8la8bw31Km5aFc8D/y9F3/4Q05U\nvRdeOMqcOTtpaPj5ZJZqi4Vub71Fp6eeQtKJLKd+fw15Q95hyr+e5ep2r5GkDd1H9YrM9fUmLq81\nUeGX0KBhpHM0l9ouj7oHAco0lbyR4mV5xlOUem7C7Y1mVC9p/zm7LunBu2Muo4P1UGiDJLEybiwX\ndP2KvL4HeD79NhpUFtSGoCd35sigBYk5Q/SljkQKjUxRdnJF41qmH1mHenMdLy/vwW0rxnLbprN4\n+NBIPi3ryt7GNjj8p57U0hOQ2W5L5Z3i3ty691zG/Xgpd60ajXlPDS8s/RO3rHm8RaJbnRZP2mBo\nk+dHCvul/VTGnTycdb9Q9sZurxIXRprVuxPYFrZ0XudJxeE3Y60QFXRV1tA1qVSaFN6iA0mzwltt\nhKRBLZ+j+4NqFEWhTrscBW+UytuAk3pCBLRB7UTlDuALU9ar8RNPPdvpJailhz+pIXWKSF7XrbSx\ne9pBEr2VGHCykYHC/tVGiUmfqOl6b/QKg/L3qtk0cDfy9nIyKOUQHdlMP0HtrTZK9PurkRkHrHS5\nTgfq6GdAoNqN7bHdlOZ8SeV5K6j/qIQiZxqbGcBKxrCDnpSQjofolUJai0Sbfmo6zNTR7wEjo98x\nM2GRlSkb4plZkMBl1YlcXpfIXFsSVziSmNuQyMwjCVy8PZ7Jq+IY/7GFgY8ayZunJ22EBl1Cy69i\nLnQcIYcNDGQVozlEJzwEJ3N8+TZqbtlMcduvsD+9B8kZPXnouWwoN+xz0GugOG57ULOFvpQ1KbtT\nqMCq1FP4aAmFfxMnVeoTs9C8PIkL2y0U4vvphJOgpYEBB3E0UPpWJfU/ivfCjrm3MbXtJ0LsAHkE\njcsCUXYm3xw+H1nyMzn7SyG+kjHEU0tbQj7gKDJmX3BiubDJv7sHIVLVX+zBfwJLE0WWcHdOwhRw\noDqBVdWxQBbmhlohFvLwdqEKm2x3+7V4fBoM8slZmrTm4e05zhtGEt6/F4U34LfmCZ9lR8sr5/wd\nuwmfVQf3gBL6LfdbIrz9hh6iVYv7EPhbtmr5v46uXU106RJaoeP3K/z0089bsJ0UJC1e1WQhpA18\nfmb2HUMMMfzPIUZ4xxBDDDHE8JuFChXn2SehVUJkml/ys8j8NV5CL5UDtH6ejPDzLvSruLbORKQw\n1mjUsOCNgchVQc/cL5LuZrvpLLHu009T++OPp91ujZJIjv0eCFNk+eVGjpoeI8CpKZsl9Ojsz4Ni\nDAv6cJtuISCVtl7xNGFUtFzXOARDIET2KBK8Y95IiXzqViSySsWE118ntV8/Ib7/009Z+ec/oyhn\n3p7ldHDXZBcPTRX7kMOl4557bkfxhPvJK2wwvY1drj6t4/SP87N0sI08k7iK4LBDxbkbrYy+qTOv\nv94VnU78ibZkSTUTJmwmP19sY0uQJImsq69mwNLvMXTqJGyTPX6yblvK0Ivmc7P+cfolrCfcO2iR\nW8vwqpDaO9mfzAzbLMY5xgv3IQSTWm4xHOSf2SlsTHyTElu0slwlB7is0/vsm9aFt0ZdSTtLgbA9\n39CR29s/T1b/Y9zS/kUO6jsiSUELkjY9IXsMtOkBhmR+9ldrB6q5lM3c7lnB7dXfMzX/J+TtNr5a\nk8Vd349kxtLzmbJqKlPXXcz0zRcza9vFXLnrAq7fPYm5Oy9k+rapTN48kzFrL2fw8nmcs3Qmr67t\nRc0uhYuObuCfjg94jK8ZTkGLx5dMRiy9rWT2rEMfL257OPM+/hx3T3MiSoA2+kru6SPa/hywjsIn\nhe49h7MjoGCuEPtbuTlkx1QaCJLf5gjC2x7WzLTxLX9n/j1OfBvt+OVG6rU/Eu8Z05wIMAi5iaQM\nYUzaCjYUDRFiZuz4UQt+3pIscd6/1Bj7i6R39aJ69szOJ8lbgQk7mxggWKJIssTwR9WM+sBKwCD2\nOcdeF5sG7qb4kSOke48hofATQyikrUC2m7NVjHjNzIyDceRdpQsa6kcioOD6tpTqWWspSf+C6svX\nUvdZOcWNyeykFysYy1qGsoeuFJMhWLCcabjQUUYq++jMOgazitHsoyu1JKIgE7D7sH9YSNlZKyjt\n+BX2l/cjOaKfJY0d2jPo+w7c+O4BDGaRHKzHygYGU00yEgHSKcWiNHD47mMU/CXCI96cyLGX7uT+\nseLkbxVJHCGYvFQiQAoVuEs85N8pqrsP9J3Izdd8gTZM7VyPtVmdbqVB8OO2e02sOjaOs9KXkGUK\ntcWFjjUMZwSrhf0b/J1QKUGl9Y4m0jmc8PauOvGzytk7hYBZS6r3xCrwnf6eZBw5IMR0mZlN5x9t\nZ4LdiVEVcV1O0dLE4WzqqxG7OTP62f8OlIjkDFIrHt6BjGwUU2iCXW5sQCoL2dLk5MiowiY9y8sV\nGht/pd8MKjMBXYRVi3P3CSr838aIEeJD7uDBn/9tcrLwyJG2JotitiYxxBDDaSFGeMcQQwwxxPCb\nRnwgnvH2s4VYjaqaVcaVQmye0cPlEX7ey9waHrdFv2z27p3CX27SQsMeFEnmxYz3qFWFPHNRFPZc\ndx2eytNPxGPy9STNOU+IOdX7KTO8ecr7kgMd0NqfighW4zHfiHKKiRRPBqkBC1faBxJmK4xL8vGq\nZS210okJgpagMRo5/1//wtqunRDf+dZbrHvssV/Y2jOHW85x8/Rs8aWtojyV5566GSXM2sMrO1hv\nehP/aVIQOYYASwbZGJUovsDV+WSmbjFTN7gtX33Vl7Q0kezbv9/BuHGb+PbbqpM6jrlHDwYuX076\nnDlR26zfFdCt19+ZvfpJ5uQswKIOqbOqA0G199QaM4U+GRmZ3u6+zK2/ko6eTlH7cstuvjPv56MO\nw9hreJOqxn5RZdSynys7v82B6Xm8NuI6sk1Hhe02tZWX02+hc9/9jOm+ggXJl2OXjchqMGdCaj/I\nGQvJvcGUdmLl93EY8NGPY0xnG39iBU8GvuIF16c8U/85T1V9zt/K/8PNxUu55tgKbitZwj3li3iu\n6mPesb3Lv73v8A7/4h6WcjE7aE/rie0kkxFzv2SyBztISmsQVN0eScPc9m/xgPMySEgQ6j3Q72+C\nurvRFcfyONGDPd/WA53sRlcmEnjlltDKg6OBIEEdaWnSEOZCkSHmARPgfjvYn6p0XwAyqRHjViI1\n5CN6d5+TsoRDNR2FWBuqKCWNYjKaY2qjxMXfqV0iTL0AACAASURBVNB0FRXblZ/WsnvqIRLdlVhp\nYDP9hHoAebM1TNtkQN1ZrKt4FQruL2bL0D2odpaRSQklZLCGYVQgWuxY2qkY9Q8zMwvi6HWXHnV8\nyx1HqffieK+Q6qmrKW7zGZWTVmJ7bj/Vm30c9Wexi56sYQTfM77JQ7sXh+hAMRlUkUQ9Vpzo8aEi\nEOHWH0DCjRY7RuqxUkEyhbRlD13ZRH9WMYpVjGY7fThCO+qJByR8BY00vpVP5bTVHEv+nJrZa/Eu\na3mS05XUhpxnu3Drvnp6ja+L2l5EJhsZiB0zGjxkU4Te2cie2fkcfUrcp0dnZNeTD/PUrMcEb3kX\nOrbRGwUVx9Xh6oCXfVcV4Kv3h9U3UfXnOYxPWSbsdz95KMhIBEhAVE1/eehi3H498zq9JcS/5Vzs\nmBjLCiEe5xnZ/PdGtR+JgEB4+1ad2IPfPjRIWnc8AeHtUTTsD3QmK1/0nzZ1Ca64khTxHGxeC1qH\nqHJVVJpo65LQ1oiPwQkKh6PpWRMxv2KRfhuTwycDRSPaGUmt5USQpCgfb3WYrYlGI9G2rUhXFBT8\nuirvcKj/h21NwhNXwpklvH3ySAIkNX+WaUBWTs9aL4YYYvjfRozwjiGGGGKI4TePLt6udHOLL0U7\ndds5qBGVV0/GORigEW0f5tsNLGwhieUtt/RjcM4m8NZRp07jxcz3BYWgp6yMvTfc8ItsN9q4p2Lx\niD7Q1fqF1GtO3Y9Q7Z2A2nmjEAuod+Ex/v9JYtnVl8rFTtGzsk528qplLQ7p1IleY0oKF33+Oaa0\nNCG+8dln2fLKK7+orWcSV41x8/I8u0D07N7ei8//JVo91KuPsdX40Wl/93EahY/7NTIrQ5yk8SsS\nf95n5ANjGou/GxCVzNJm8zN79k4effTwSfl6q0wmurz4It3efDPkPdsEda2L9tO/YPQNz3Jr0pP0\nittKOAmzwhP09n6xUYdPAbNi5nz7FKY0XkS8P0LCDNSp6vgwvoAv2l5NsfZFqhu7RpXRyD6u6/oG\nh2Z05O3R8+ieIHq7KpLMqrgxzOu0gLSBZVzZ4S1+tIwAgoJIU1qQ9M4ZF7Q9icsFXZAfPGVoCJCI\nkyQcJOIkAScaTv5+1+SkENfXRPYQB22SK5Ejhpm9hi4Mab+Ud490hzxxomBIyk/c2PVVIVZkmoVd\nFZqgS/AnsNWRQYK2Bk2xSBjVxoUm6I4T3qb2IIdZmLsrwNU0N2LKhjjxdg6V+7AaxRnApT6EXb0D\nq3coRl/4tZOoIgl/2GtDqqGcgFOFwxsiPWQU0ihnL12oIUTu6xNlpi2TkduJ/a9qYR07LjhAnKOK\nNlSzi+4cQiT8E7qpuXSzisw54mQBgG2zg019d1Fw+2GS6ktIoI49dGMjA6hDJMnN2SoGPWni0qI4\nhr1sIr5PK6bmAO4Arm9KqPvjFsoHfEtx4mdUTlxB/f3bsX1SQs0BKPWnkk9HdtGTzQxgHUP5gdEs\n4yyWcg7fMYElnMN3nM1SzmYlY1nNSNYxlK30Yz9dKCKHatrgwkDA7sezqRr7O4epuWY9xbkLKc1d\nSO3V63F9ehTJ2bKdkbtNElmPduL6ogDn/LESOcLC5ThJvYce+FFhoYFsiggcbWTrqL1UfCRO5LgM\nVvbOf5iXb3gYjRQ6ph+ZjQzA32TzEk8dFho58ngpNd+KJO8Ps/7KQ1PECdpS0qhtUvFHqrtdPj0f\n7b+UjpYDjEpbJdT7mOnkcpgcwhTkiky8ZxwAdZLCAVWA9hRgxt5cxLvSzongGBZcIdHOXdRqmb3+\nrvjQRBPenYO+9i676Jt+pLEtCbZiIaboRVIwHHKjaFOkGIM5HJzHeUPRWez3RXirxca3pvAG8LcT\nJ86kCnECpn17ka7Iz/81fbx7CZ//l328O3US+/aBAye+504Jkhq/HPFdK4daKRxDDDHE0DpihHcM\nMcQQQwy/C4x1jCfeL5IeS43fYZNCykedBAsSGkmVxReim+pN7I1IYqlSybz5+hiMdQtBCbDDdBaf\nJ90rlKlZvpyjL7982m2WkMly/AmNP1WIHzM9j1s+1kqt1qFx3Yaq6UX/OPy6/+DTvXPabTwRxrg7\nMNIl+iSUqhp4w7QOL6ee2DOuXTsu/PRTdPEiWbr6/vvZ/f77v6itZxKzh3l442o76rAEk9/85wI2\nrx8glCvSbaBAd/rWN1oZXu7u4P6OzghNKCw4puPGkiQWfN6PqVNTo+o+++wRZszYQW3tyS3zTb3k\nEgatXk3csGFR2xLf30WPPi8zZ8eTzMx+H5MqRK46kXjQZmR8lYWtnqBSMdfbgcsbrmCUYwy6QHSS\nyCLtMd5ILGdZ9n2UqV6gyhatCteqvMzLW8CuqT1ZNGEiY9JXEKl4bFRZeDv1Skb1/JHcfvn8qe3T\n/GQOWmlIctD2JKETpA8OEuAp/SCuQ9D+pLUkjb8IsowmOwFrFy0ZwyGzawUJKfYoZwK3pOWJzD/T\nX7WArYV6GDIY5ND4Y1TbWTBmLqqwcare0Y7lCaKKOtfThXyfikRNFbp8UU1amRiyNDkWCP4tqyHC\nOpeGMK4uU7TSb4ZS78f9r6BlSpXucyQk0pxXCWXaUMOPjBRi52V+w8rD4nikwUcqFWyjN3ZChIgx\nXWb6KhVSW5GIrv2uga1j9mEoryaDUgpoz1b64CX0pWpMEue9JzP2EytKoih7Vfxw7Ply1nfeSd2C\nIrL8RWjwsoW+bKI/tYhjjcYs0e0mPVO3WrhoWxw9btejTTmxv7vS4MW1uJSGR3ZTPX01ZZ2/ptjy\nCaU9FlE5cQU112+g4bHdNP4zH8cnR3F+W4J7TSWebXW4N9fhXl+Ne3UFrhXlOP5TRONrB6l/aCc1\nN2yg8oJVlHRcSLHlY8oHLqHminXY/5FPoODE3sD+nln0+Wcm1xcrnHtvDWqDSHQrQCE5rGUY5aSh\nwkc6paRSQdWn1WzsvQvbJpGgcliSOPzq/Tx3w5OCFQnABgbiaGJgDThIopra5Q0UPCA+x47mDWPK\nA4Vk60NEcgCJ/U3e3TJ+EiNWS3xxcCr17gRu6PqSEN9Gb/bRNUrdbfEORKMEyfPNah+KBCMJjcP+\nI278B06sNj2u8E727W+1zE5/T3QOO6nFhaGgLGPoGCRoGxr2CeV313anU6OY3yGQ3LblnQf8SBGE\nd8ASHOebLU0iCG+r/DsivDWRhHfrinvFFKEGd4rXrkOHSIX36ScV/6XwGyMSVzr+lwlvcSw+cMBx\nRi3q/JL4u0EVU3jHEEMMp4EY4R1DDDHEEMPvAlq0TLRPQg7zxXbLLhabviEQpspMVym8ndCIOow8\nsysSl9Wao5I+ZWVZePWZrlC5EoB/Jz/IHsMIoUzBww9Tv2HDabdbrVjIsd+HpITknwHJwVHTIwRO\n0Y5EQkZrfwbJLxJjXsOT+NVrT7uNrR9PYpqzN708YtLCQ5pqFpg2ETgNdXNSt25M+fhjNCbxZWn5\nH/7AoYULW6n138fFA728e4Mdrfr4OUr885XrKDkm2i7sMHxKtSo/egcnCUmC23NdvN/Hjlklfp8/\n1WmYtD2eW57pwWOPdUQdod5cvryGsWM3sWPHiZfvH4c+O5u+X35Jh4ceQtKKjLD2mI0OE//NuNue\n4Q9tHqdX3BbCCeidPjVnV1u4t8FAYyDor9/fPYB5DVfRy9UbSYkg3CSFXfo9vJZcyQ/Zf6Ncnk9N\nY4TJdBMm5ixmxeRxbLhwENNyP0YtRZP4Bfpcns38E8N6/UR2/6Pc2v4FVlpH45WCZKWsBmMyJHQM\n2p9kj4Gs0UESPLELWNsGiXCNGVQ6BNuRSEhqCZVJRpsgYc4M1k8dADljA2R2qyWxrQetObqeH5l/\nJ02ne9sfuWf7cHzWpCDZLX4z/H3EDeTFiS/vtQl3U64JWVFIikSgsS9+JDJsh1HZQqsqvFotdXEp\nzZ9dGKhwBa08rBGi+vow/i17Suvn7Hy+DEVRsGnX45ILMPl6EOcZLZRJpiLK2mROu3f5Nv88IWbE\nSQJ1bGKAkFDSnKNi5loZuZM4cWnbaGfzkN0oe2vI4hg1JLKOIdgiGL8OUzXM2aelzUViQmAAT7mX\nffMK2NhnF+6FRWQrR1HhZyt92MgAKmkTNVol9VYzZL6JOcVWJq6w0uN2PYb2JzdTojj9+HbX41pc\niv31Q9Tft53aq9ZTPX01VeetpGLEUsr7LqZ8wLdUDPmOipHfUzluGdUX/UjtDRtpeHAn9tcO4fqq\nGH9+Y5S7RUvwpSWQenM2F26P57odTgZc4UKljV7aUE4yPzGU/XTFi4Y46sjhKNrqevbOO8zuaYfw\n1YmkYWVmVwKfzGP+vCdQS+K2zfSloWniQIeLdEpx7Haw65KDhC+IsFvaUPn4tcxq/2+h/gHycGMA\ngrY3qrBKx9XdedZ9TG0r1vs3MzBjYzSi6jvBE7I426D2o8IneHy7PzxxfgVvqglP+3ji/PXolNbz\nYOz09ySzQCS1De3bo9IH+3TAI64w21PbjbxIwjtdXLFwHJK9EkkJfc8BQwKog/t1tkJ4/64U3pGW\nJidQeEeq4CWXaDMTmbjy11R4+yMV3q49/7Pe0unpWszmkF1PY6OfsrIz5zQfiCC85UBM4R1DDDGc\nOmKEdwwxxBBDDL8bpPrTGOEUVYbFmmNs0K8TYkO0fp6wiiqhw01JLAMR74wXXNCRm2c7wF5AQFLz\nfOa/sKlChIri97P76qvx1kX7op4sjP480p3XCjGXupAS46lbeUhY0DX+HZSwt2HJj9t0GwG59eXZ\npwsZiXn2geT6RJJpm7aETw07TsvSI23AACa//z5yGOmqBAJ8e+21HF2x4gQ1/7s4t7eXD29uxKAJ\nnqPLaeSVp2/H6QiReIoUYL35LVxSfWu7OSmcl+JlyeAG2hlEsqnIpeK8DVaSp+Ty5Zd9SEkRCbmj\nR11MmLCFd94pPil1laRSkXPLLQxYtgxTt25R25Pe3kGP3i8zZ/uTzM15mzhNSFkcQOI1u55hVVYW\nuzQoChgVI+OdZzOn4XJyvNFqxoAUYJthJ6+l1LE660mqVU9Ta+8YVQ5gYPImPh4/g8JZ7Xiw31/J\nMrXcn4/psnkp/VbG9lhJwqBaJnX5mhfSb2WPIcT2SlKQPzImB8nuxC5BIjxzeJAMb3s25JwV/Dt7\nbOhfzlnQdrxC9ogAGYMU2vRoIsuTonPMHUetKp5XU2+gS/ufmHloLqUHbcgTzsbbLprsurfPY1ze\n6T2xvvcKVlhEn99cbwe2u4LEcE6xSKLVWpKJ9HA56gzamsRFXNL6MIW3qS3EDW3ZT9i/y4l3eXC1\nTLkh2L50x7XIYcly9Xg4QJ6gvk7Q1TIsfg3bKvoI+7Niw4iDTQzATajPmjJkZq0BdXdxPHEVetgy\nbA+2byrJpggJhfUMpogsoZwhWWbKZzD+CwtkionxAOy7nOyccpCtw/fiXRIkvrV42EM3/h975x0f\nRZn/8ffMbK/pPaGE3ntHBBVEmlhPT8GGepaTs9dTz3Ked/be7sR+FjyxCwgCgvTeAiQhlfSyvczM\n74+EbCabICD3s9y+Xy9eL/aZZ2YnMzuzO5/n83y+qxhHIZ00+w8g6gQyTtYz6nErFx6wcdZ2J6Oe\ntJBzlhFdYnQc1v8Xil6HOCqD3D+nM3ONg6tKBWY84yVpQPvnsIok1jGcLQzBhR0LHrIpJkmpourN\nStb22s6hBdH5//uHns6gZf2ZP+V17fsjsJ6hVNM0uGIgQAZlBIv9bD09TyOaq4LAqpsf42+z7tNs\no5Z4SprPoQkfDrSDcwt2XkZ9IIHbBjyomfGQTxeWcCrT+Bxzq4FhnRKHPRQZRFqtlxnIVuJouv+q\nqkrgzY7z9gEap3cDQaC/78iFLbfKA8nuIM4EwGrQXpc76/rSw6NtkzsQvEXXIc1r1R6J+vId1nvb\nZHj/mhze6I4ywxvAZNa+biN4t400yc//+QRvVZ+Moo8YAAQ1iOTPO8Iav10EQYiKNTmROd6yoP2d\nEHN4x4gR43iICd4xYsSIEeNXxZDAMDqFOmvafjCtoVTSZmdeaglyUZsilosDeh5xRxex/PM9oxmV\n8wOEPdTos3k2/XXN8kBJCXuuv/4nTddMCEyPckzWGRdTYzx2V7OodMXofhxau2rFegLWa1A5cQ8c\nhzEgcZV7NGmy9iF2hSmfxcbje9jLnjCBqa++itAq6kEJBvl8zhzK16//Sft7IpnYJ8yH893YTU3n\n/lBZBq89d7WmT0BsZK3tNRTaz9k9WnrbFJaMdDE+XusY8yoC87bbWBSfzjffDmPECK3QFwgo3Hhj\nHldcsYvGxqPbB1vfvgxdsoScG27QxG0AGEpd5E57n/FXPsZ860OMSFiN0CrCpkSW+H2djXNqbexp\njgpKUpI5y30Os9yziZejHbiyEGaDeQvPJ7tZnfF3anSvUeUa3u6+ZVrLuHfoXyj8XWf+c9osTs/6\nElFofxq7R7LxRcI05nd5ir6Dd5E2rJxZvf7Dw5l3sNQ5CZfYjhW7GVFqcntLhsi/DuvLtaFCn8Kb\nyRdxbu47pNu+5doNJ1Oxtx7jhDF4J5yCYoy+z1ze81UeGn63ps0d6EaF8xoK9AWa9kGBwawPNgmz\nacVaZ1ullELbkbsibweC907t69xzO44D8D3WJMI1GlbjlfLQq4mk+S7V9OnBPr7kdE3b4MTNBN0m\nSlxacTqBOvSEokRvc7LIhatVrBO1BSbD9TLbpudRdF8RaUo5cc2Z3JsYrFlfEAS6nGngkjwdPe9M\nQDFEi9KNa9xsOz2PjYN34n77IBmhYhKopYwMvuMktjKASpI1dRsObzuhn45+N5iZ/JGNuZV2zt7h\n5KR/Wen3JxMpE03oEk68CK4KAkJnJ3HTk+hzp4PTv7FzWb2Dy9YEmHh/kJRRegQx2s0tI1JKBqsZ\nzSaGUkc8FjxkUUIG5Xi/q2bjyF3snpNPqFp7b5AlPduvnM91K0uY2n1p1HbXM5RamnKljfjJpJRw\nuZ+tU/YSKNE6OVddeA9/v+VpHK3ikGREttEfGR0CCiloIzwKGrrwft6FDEtay5TMrzTLnuU6jAQ4\ngy807Un+sxGbc8TzRJl9kqJxgMtbvci7jvwdWH9e08BY70Blh30CqoFV4XH02LJG0245LHirMsmO\nNg7v+j70CGuvYyWt/cG9toK30krw9nqaz7P26/Y37PDWCt6C/8ciTX4+wRuiC1f+b8ea/BcFb7Ed\nwfsERqbEiBHjf4OY4B0jRowYMX5VCAhM8UzFokR+aKuCypfWz/ALESeYIMCjTi9D2hSx/IfbzOd+\nrWCh04m8+a8JJIW+AWCDfQafJvxJ06f6888pffXVn7TfmZ4bMMpaUajM/CIu3cZj3p4Unojer91H\nVbeHoPX2/0oRS6tq4BrXGJyKVshbZNnFWkPRcW0zd/p0Tn1Gm9sa8nhYdN55VO/a1cFa//+M7h7m\n81tcpDqaHrQ3rxvO5wtnavrU6vLZbl74k98rwaDy4VA3V2RHx928VGTi6pJEXvlgCPPmZUYt//jj\nSiZNOvqIE8lkIvfeexn69dcRIacV8e/uom+fZ7nwkwf4Q+dnyTRrz/OyoJ7x1Q5ubzBTpwgICM35\n3pcw2XM6DjnagRsSQqy1rOeFpGJWZ99OheFDKtxntL9/osKszov4cuoZHDg/lweG3U2vuN3t9j1M\nhSGNRQmzuKvTw5zadynOkQ10GZLP1O6f8qfOj/Ny6jy+jpvMNkt/qnRJP3qMXKKN3eZeLHaeyhPp\n85nb7XX65ywnXf2UOdvO4uPlAk67Cd1ZM3GdPJmALbqYJ6jM7/cEr540T9PqDSQQtr/DSov2+k8P\nZ5ARymFNUAeopBzUimil/oyoCIz8hiZ3vbNNpEnjXgi30iAypwOW9n/+h75sILSuSZiqMC8AICFw\nBuZwL02/ruSzlhGatgu6vs0PhWOoD2gzupOpRkRhPcPxE8l7NzhEzv9aJu2SFE1/VCi8v4xt0/Kw\nVlaRRQn1xPE9YzmENsteZxEY/5DA73ZbSb0gEVWIFoTdW73sviifH7pt49DDBcSVl9CJImQkdtOb\n7ziJ3fSimsQo8RtAEAXi++rocYmJUY9bmfmtlbnVdn5fEc+s9U5O+cjGqCct9LvRRO5cExmzrSSd\nYsUxwoqlnwXzQDvWYXbso+zEjbeTdLqD7Euc9LvdyqinLEx8z8aZG5xc6o7n8gId53yqMuYhPVmn\nGdBZOq7EWo+TPfTkOyawg/64seGggRyKyKAc/4oqtkzew5aT90RldQNUZfch9MEVPPbiO2SZtbEe\nXsz8wEjqSQSaMrszKSVU7GPzSbvx7tbem9ZPvpqrntpEZ3Ohpn07/VqiTJKpwoB2IO+JjbciovDI\nsJs07VsZwHJO5gy+wELE7SspDhIC01tef24IE0cdw4kMkAbeahNnImlHsMKJZlwTOyGqCunBjr93\nvwtPwKNaGbzqS0173KimGgKiehCjPnIcKn3JVDc46WPSCtlyRvuCt3AEwbuuvvm8t3F4/7oE7zYD\njUcSvM1HjjTJyRHRtZqUUVGh4nL9fMciunDltp9pT35+evRoK3ifuMKVKhmorS4CARcCHQ9SxYgR\nI0Z7HLlKS4wYMWLEiPELxKpameKZysf2j1raXJKLJZZvmOaZgdAsXJiai1hOqnZQpUREnj/UW1mc\n2EhPfcQplJho5oN/9eHU369Fdo7krZRH6O1dSTf/hpY++++5B+eIEdgHDjyu/ZawkOO+mwOOP6EI\nzQ91gkKR7SFyG5/EpOQc0/Z0/qtRpF3Ihog7TjZ8SVjug95/9RHWPD4SVAvXuMbwhGMFfiEykPC2\nZRN2xUifcHRxxR+j9wUXEGhoYMWdkYKhgYYG/nP22ZzzxRfEdWk/9/n/m37ZMl/d7uKcJ20cqJT4\n+N/n0qlrAf0GRdxd+aYVxMudyAm2zW0+NvQiPNrbRz+7zG17LARaZc//UK9n8sY4/nl7H0aMcPKn\nP+3F7Y64dvPzfUyZsomHHurGpZdmILQjArbFMXQow5Yto/Dvf6foqadAiVwXUkOA7Ku/ImHBdjJf\n2sEPWVNZUjkFn9z0ICoj8LLXxAc+A3fa/cy1BNAJIn2D/egV7M0Ow3bWmn/AI2oFj6AQZKN5I5tN\nIr1tFzHa+0fsrvcwqx9gMkQ/NHe2H+TuwQ9x9+CH2Fg1hLcP/J5391/AIV96VN/WqIJIoakLhaYu\nfOUPgByGUBhCIZDD6EM+rMEGTGEvZp2MXg3iU434MOANCHi9QIMXAoGmf6pKfFcz9k5puIcMRtbp\nj/gIbpa8PDP2ei7v+U9Ne1jWI9sXsMcYplivHUgY5RvNlpCOOlUkTl+L9YD2HQ42ZkQ5vPdWN2Vr\nGxPB2gU8zRq5KkPdFkhurlWqt0H6uXrKF2hnvxzGe18pzi964tZvxKVbjz08nCzPjex3XIcqNLl6\nzQQ4RBqlpJNJRCy9qe+j3LPlr1w04HVMusj2k6mikhTWMYJhrMfSHFEh6gWm/TPMD72T2HFHLUKr\nz13tVw2s67+dXq91IXt6kFoS2MpASqmmN7s1Qqijq8SMd6D2DgdLbjPS+GX0GQkUBSm4q4TCP5eQ\nOD2O9HkpZExxIuv0uLFRSQohdCRRQzJVJFCridJojSAImFMEzCkiycOO91Hq2NZTEKgnjiqSqSAV\nHxZAxYSfOCqx44KQTPXHdZQ8XUHD9+0LjGG9kfw5c7jm8bV0drwftbyGBI1QbaeRZKrw7/Wy9fS9\n+Au1zu7dw89k5mtuxiRqndD76UoFTSKuDVdUlMln+TPZWjWEm/v9lV5ObU72M1xPArXMRDv7KSlw\nFlLzfqmofGEIMYNP0TfPrFH9CoG3tMVd0UsgR+6P9Wf1BL1EP18VOqLjXQ7zRegM0g/u0xSsFI1G\n4saOBcDj2o6zVb3enXV9EctK6WrSCu5KWkeRJtpBBsUWuY/t29cs0v+ai1bq2hStDLua3LntfR/9\nSKSJTieQkyNqokyKihT69j3K6TgnmKjClb7/ZYe3dlRm794TOMNQEJCFbujUrS1NkrqfsHDsvzNj\nxIjxv0vM4R0jRowYMX6VdA53YYh/qKZtnyGPHQbtw0empPKvOI+miKW7uYhlY5uZsQMHpvDY7Qr4\nyggLBh7PfA+PGHGpqsEgOy+/nLDr6By07WFSOpPtuU0TR6IIXg7a7iV8jDnQAgIGzyMIYa07N2R6\nHFm3/Lj38UhkKk6udI9C16p4qCKovGpby0Gp7ghrdsygq69mxC23aNq8FRX8Z/ZsXCUlP2l/TySd\nkhS+vM3FkM5hVEXk5aeupapSG8uww/wJYU5M4aY5WUG+GO4iy6SNoagIiszaYKNyWA5Llw6jXz+t\nuBAIKNx8cx5z5+6kru7oCmpJJhO599zD0MWLsfXvH7XcuqaUnoNfY+ojf+dP6X9jcNw6Wlesq1NF\nbmm0MKHawXeBJjFPQmJgcBCXNVzOBO/JmBVz1HYVQWGncQevxq1gUdpJFMYtpVF4jGp3v6i+hxma\nvInHR91EyYVZLJ8+gRv7P0au4ygKWpmMYLVCnBOSkyAtjVB2F+pzB3Go2ygK0oeSlzyc4oQ+VMd1\nxZvdHaFfHxg3FqZMhpkzYNZM6vqPoDE1B0V35GiL0Smr2XzW4CixOyQb8BkX0CgN5juLNrM+J9SJ\nTuHOLAk0bTvNVIZ5q1bALSErSvDeVxPJT09skxRT0yYhqO+l7Yvd0OzyXtN0fyuzvIBCEJOSQ7r3\nKk2/LhxkCafiJXJOdaLMHf0e4LUtVxGUI8dGAFKpxECQtYyigcg9VRAERt+qMmWxk3CCdkZAqDLM\n9hn72Hd1PnGuSjIppREH3zOWfLogt3mMSeiv47wvZGatcxJ/ZnK7jm9VhupP6tk+PY/VaZs5MG8f\n6jdNkSfZlKAgUkhnvmdsS/RJEdk04Ih6v/8mIXTUEUcBndnEYJYxkfWMoJDOACRRRScOkkUput0V\nFNxZxJrOW9l5/oEOxe7CsafTZdUpPPrqUnv00gAAIABJREFUQjo7SqOW59GdTQxpFrtVkqgilUrq\nl9SzcdSuKLE7b8g0xr/rZFqW1gV9iFQK6AoIGAhERZkUNnTmmU030iduO9f2fkqzbBEz2MRQ5rJA\nM+AgKTYS/TNaXm+TFOqlBibzTUub/19VKBXaz7Ya0N7/DseZjPAe+X7xeWgag77/WtPmHD0aydLk\naG2sXa5Ztql6CF3KN6BvFb2kOJJRrdoZD4cRG7XHX3U0Cd61tQLV1c2fszaTH5y/Ioc3kgFVjIwI\nCKoCsq/drj8WaQLgcGiv5WDw5zsWUYUrfTt+pj35+flvRpoAKG1yvEUlluMdI0aMYyMmeMeIESNG\njF8tY33jSWnjKl5u+ZYaUeuyGmMM85BD+7C1X5a4up0ilnMu6sV5Y7dB2EuFIZcX01/RLPfl55N3\n000/Kc/bERpFmu8KTVtQKueg9QGUYxRLBawYPc+D0ipKQVAJWG9EEQs6XvEn0COczBzPUFo/fwcF\nmRdta6gSO566fCRG3n47A6/UFvZsLCrio5kzf1Gid5Jd5T83upjUN4THbef5v88nGGwS98pLsjBs\nvgkdhh/ZytEz2CmzbJSLkxO1wk1YFbhrr4W/eJL592dDueSSjKh1P/usinHj1rNy5dEPRDgGD2bo\n0qV0e/BBRGubqeaySuqjP9B/wNNcuPkxru7yImkmrXCzOywxu9bOhbVWdjXne+vQMyQwjMsa5jHW\nO14TRxTZOBww7Ocd5yLeTNKzJ/056gxfUOO/gGAoOg8bmiJPJqSv4LFRN7P//O7sPKcPfx1+Oyen\nL8Mote/O7RBJBIsFnA5ITGgSxJ1xqBYrmvn0R0EP517ennghq2eNpWecNuc3EHLgN71DSDeFb6xf\n4hEjbnZRFZnonYSA0CJ4Z3IQ026tE7WALhDW3n/K6iPnP3GYdn9qNmhfO3qAYWJ03MxhPLeVoKoq\nQamMalPTLJqE4Bk4gqM1/caxmgXM1USBOAwu7uz3AC9uvo6wonVgJlONFQ/rGUYl2oGinEkiF28T\n0Q2Ldu+VvVTFur7b8SwqJ5umLO79dON7xlJOWlT/5OE6zv5Y4bw8J5lXJqMY2x+YCNWEKX+1iq1T\n9vJ92mbyLs7D90Y+8eXFdKGQFCoJo6OELDYxhCWcwkrGsZlB7KMbpWRQTSJurFGFMI+GMBIeLNQS\nTzlp7CeXzQxiBeP5lkmsYyR59KARBzbcpFNGV/LJUEvR7zpE6cNFbBi2g3V9tlP013KCZe0PbpX3\nHYll4Vnct3ITU0asjVruxcx6hlFAVxQkdITIpBSnWk/JsxVsO32vpkAlwK6RZzHuo0TOzP1M096A\ng930RkFCIkwGZYitBpuDsoH71zyEgMLTI69BL0ZmClWRxGPcxAC2MgatYzzVPwepVbzBp4YQ0/gc\nE00CtxpS8D8a7ewXWn1PBzNsuE/uhE4NkRlc1+6xAtgnd2O/0p3Bq7S54gmnnNL0H1UlxbZEs+yr\nktOZUL9c0yZnRcdEHUYq26LtG980YJWX1+rRvLt2ne66nze7+lhpG2vSUY53tODdvjD+S0ExaGfi\niXIDqL+uc3Oi6NLFjCRF7v9lZQFcrp9Wy6Q1sqi9CGKFK2PEiHGsxATvGDFixIjxq0WHjjM809Cr\nEUEjLIT50voZ4TYFBK+wBLigTRHLrwIG/t5OEcunHxtGL/tSUBVWO87j6zitu7Hiww8pf/PNn7Tv\nSYGziA9M0bR59TsoszxzzBncopKD0fMktHJdI7oI2K5G5fjd6EdiSCiLs31ap5NLDPCcbTUuoWMH\naUcIgsBJDz9Mr/PP17Q3Fhb+4kRvmwneudbNeSMDFBV25o2XLmfd6pE8cMf9XPBoLgtWnjjBGyDR\noPLBEDc3dYkWAj6vNHD6ljgu/HMfXnmlDzabVmQsLw9w5plb+MtfDhAMHt1DuajTkX3NNYxc8wNJ\nZ0TnaxsONtB1+vsMv+hpruVhZqQtwiRqnV1fBQyMr3ZwVZ2FgnDT59KAgRGBkVzeMI9JnlNxyu27\nHyt0h/jG9jUvxG9kVfp5lDt+wC09Q5X7ZBSl44iWPvG7uX3Q31g2fRL1c+JYOm0Sdw9+gHFpK7Ho\nTly2aHvohBDTcz5l4Wmz2X1uby7s9m5UH2+oK37rV4SlSaw1/RBVqHKYfwQJSiKFYZFNoSYBtWfB\nOgQ5cj+QM1LxYoWw9lzqRCu1/ngg2uFdux6UNhpE/8s7HhAIr3QRfL8WgErTewTF8qYaBN756JRE\nTd+TWMEC5mrakkzV3Nr7rzy7cT4hWSsEJ1JLAnVsYSCFdNIss2ZKzFkTotuf01DaVA8NFAfZPmsf\nO8/eh6mkyd2sI8w2BrCGUdQSH/V3OLtJTH1JYU6ZjSFPOBF6RBdTbfmba2Uq3qph99x8VmdsYV2/\n7Rycv5/Ae/k4DhSRrRbRlQISqEVFoJYECujCdvqzmjF8yyks4RSWM4GVjGM1o1nLCNYzjPUMYy0j\nWMMovmcMKxnHEk5hKaewivGsZwQ76EcJWXixYMJPCpVkU0QuB8imBHtZOZ73i8m7simPfF3f7RTc\nVYJrY8eOyvIhY4hbeAZ3bs/nwtnfoWun8Ot+urKG0dQ253XbcJFNMbpaNzvP2c++6w+itllt+8SL\nOGeRn5mdP9e0N2BnM4MIYkRAIYMydGhXfnrTjeQ35PLo8Buj8vgf5k4CGLmc1zTtpnA3EgLTWl43\nCipfGeuYSsRZHnivFrnwyEJp9Q3DQScyyluLRMf3gy9CZ6AP+Om7frmmPXHSJABEZTcJ9shAnydk\nYeWh8Zwq/6DpH+4zrv03CDQiVWr/djmzaZRqb17z514HdNWu1kffccHZXyJRsSahDn6LmNoMgPpO\nfOHtE4ogogpGbZt6jAOsvxGMRpHOnbW/oQ8cOHEDFrLQtnDlUczkihEjRoxWxDK8Y8SIESPGr5p4\nJYGJ3lP4xhpxY1XpqlhpXsFE36SWNkGAx5xe9oQlNociX39/c5sZoJeZaoq44wwGiY/eHMSoqd/i\nsp7K66lP0Mu3mk6BSFxK3q23Yu3ZE+fI48trFhDI8F5HUCzDo49st864GKOcQ3Lg3GPanhQei953\nOyHLwy1tqpRP0HozBs8LCP+FMe6TA7nUiz6WmCKum2rJwwu21dzgGo/xGH9mCKLIqc88Q9jvZ/8n\nn7S0Hxa9z160CHtW1hG28P+HQQfPX+ol2aHy3OLxrFkxDpqdrn9600pBpcSfZ/sQT9BhlwS4q7uf\nIU6ZP+yw0BiObLjYL3HGejt/HprDt9/aueqqXWzeHBEXVBWefLKI776r46WX+tCtWzsO63YwZWXR\n/623qPr8c/Juu41gWZlmedzCvTg+20/inzYz8La1LA5MZUPdKGS16byrCHzgN/Kx38DFliA323yk\nSyo69AwMDqJ/cAD79HlsMK2jUhftzvSLPjaa1rPRuJ4u4S70tTyCGDRjCH5C2PMR8ZatUeu07Lsu\nwKSMZUzKaIoMkRWR3fW92VA9jI3VQ9ld15u8hh6UeLJQj+PaEAWZHs48RqX8wGmZi5mc9Q1JbfJ7\nW+NhLkHbAyDY2GbYyhrz95rl6eEMRvmbHNTv+5oGTARkuuzZrOmndOoNZUBIK3hnx8Oehl6MMa3B\n3h0M8RBsNvaHGqFus1YIz5kYZMOQOIRN9e3v7y3FGKbHgTVAseUxurr/hk51kuO+kwL7bajNGf4m\nAvRmF//mXM7ng5b1M62l3N7nIR5Yfx/XDXsSsy4iCDlpRE+IfXSnASd92dkijIo6gZPvD9HzDAeL\nzheRDmqPadXCOmq+aiDn5jSybwkSb6ujhkTWM5w46ulKPsltsplNCSJD5osMvkGl8gcHG14yUPqx\nB7GxY2HGs9OHZ6cPnqoAQJcg4RhuwzbIgqWnCXMPE44eJvRJOgRBQEFARkJGQkFERkJFQG2+J0it\nhF8JGRGl5d/htQBkn0KgKIBnj5/a7V7cW700rvUQKD66mT9Bo5WGaeOYeGsdV4zc22G/KpI4QFca\nmgcKdIRIpgorXuqWN7J7Tn7Ue6qCwNo5d3Hrs4vpYdMKTy5sbGYwAcwtYrexzWylD/PO49P82Vze\n/SVmd/pIs+wLpvIdJzOPl8lolQuPKpDpvR6ByADIB4YQZwrvtuS4q4qK768Vmu0JBj1qMPKdLtsM\n1Fw5GIARniNHULwVvIhB33+NqZXwaszIwNKrqXhrfc23OFtNkFhWPpHgIRenObWzOUL9T253+7rS\nTQitBrXlpO6o5qYZWnv3Nv+dnYFWExPSRYX4X1GGNwBSm4Ffpf2B8F+bwxtAFc0IcuTvERQ/qnh0\n36u/Nbp3t2hE7n37PAwaZD8h21YErcNbjDm8Y8SIcYzEBO8YMWLEiPGrp0+wLwf1hew1RIpfbTFt\nIiOcQc9Qr5a21kUsq1sVsby63sqSpEbNlOH0dBvvvZDO9HmbCDqH8Fjmv3m0YBgmtekhWA0G2TF3\nLkOXLMF0nCKsiJ4czz0csM8nKEXExEPmf2JQMnGGxhzT9nSBS5qKWBr/09ImG74lJD+JwX/jce3j\njzHT15cGwc96Y3FLW5Gunpdsa7jaPQYDx1ZYStTpmPLyy6Cq7F8UKVrWWFjIwlmzOOuTT34xorco\nwgPn+kiLU/jzh2Zap9w8/bWJgiqRFy71YDF2vI1jZWpKiOWjXFy+zcrmxsjPuLAq8Oc8C98n6Xh7\n0VBe+kc+Tz9dpNmnzZtdTJiwnvvvz+WyyzIRxR8vaAmQPG0a8SedRMEjj1Dy0kuaopZiUCb1b2tI\n+NdWEh/awriLJvBl9VR2Nfbj8ABAGIF/eY286zUwzxrgBpufBFFFRKRnqBc9Qj0p0h1ko2kDB/WF\n0TsgQIG+gAJ9AUbFRM9gT/pY3kEIBdCFv8bn+ooE8yoksWMHpCQq9EvYSb+EnVzSY0FLuy9sIt/V\nlXJvOhW+VCp8qTQEnQRlAwHFiKKKWHReLDov8YY6sqwlZNuK6RW3B4vux4UZT6gfiuVhwlKT23Ob\nYStLLYs1fYyKkTM805CQUFX4oFnwTjOV41ynLWgZSm7ONm8TaZKTZmBL1UDGpK5BECFlApREbgNU\nLNMK3oIA3W+S2P/79vdbKQ7i/Ws51gez8Op3UG1cSHLgXKxyXzK811BqfbqlbzI1eLDyKdOYQcT1\nm2kt5b4B93D3+ke4bugT2A2RSAMLPrIo4RBprGUkg9iClYjAmD5S5LKdKkvvSafoqUpEpVU2sleh\n8C9llL1URZcHMkm7NEhAZ6aOeDYxBAeNdKGAVCpo/QkXBIHU0XqmjVZRXjFTulTHpnetVHzSiNhw\nZFdpuFam9usGar/W1lnQxUkYcwwYUvQYUvToU3UYUvToHBKCQUDQC4gGEUHftCeyR0Z2K8geBdkt\nIzfIBEqC+IuC+A8GCFUdexyAKgjUDh5CzsV2zrlkH3FxGzrs24idA3SlklSark+VOOpJoBa5LsSe\nW4spf7Uqar2Aycaeu2/jH7f9izid9hg04GAbAzRid9uCnytLJvDclvmMSVnB3YPu1SzbTy4PcRej\nWMNktNdGQvAMLHIkGiSIynLTLm5u1S/wzyrk3a0c24KAIqE59zXzBiHHmcgNNBInR8e6HGZDeCgb\n5OHc8eF0TXvi5MktBYDVwFLNsi+LpzJg7+ck6SKfb9VsQ84d0u576Iq1ofrhrMiFmXfY4d1Du07f\nX5m7G0AIaKO0VENcu/1Uc5vorHYyvH9xiGaQWw0WKr98kf6/RY8eVr76KjIwmZd34s6fLGiLvopq\nUZObXmg/5ixGjBgx2nJ0TzrtUFtb+ysbZo4RI0aMGL9lAgR4y7GARqmxpU2n6jjfdSEpsrb606qA\njtm1NuRWX4PdJZnFSY042pg9X3xpG3e+2AUsOYxpfJ+bSrWRG/ZBgxj8+edI5uiCfEe972Ix++1/\nQmmVfy2oRnJdj2OWc4+wZjQqfgL2C1F02uKdBs/D6ILH5ho/WsIovGhbwx691qXbJ5TKPPdI9Mco\negPIoRBfz5unEb0BnF26cNaiRdgzM3/SPp9oPt+s58pXrfhC2p9WQzqHeec6NymOE/uzKajAfXlm\nXiyKfvBLNyo838+DuKuKq6/eTXl5tLNuwoR4nnmmF1lZx/bg6Nq6lb033YRr06Z2l/sGplD6xKkc\nHDWORYfOoMTXKaqPTVC5wuLnamuAFEl7XOrFOrYat7DTsIOAeORonHg5nl7B3nQL9iBJltArSwl7\nlyGGV+EwFx9x3f82ntAAVMv1hMQzQZCQkfnevJKNJq0YKak6znKfQ1a4aRDnu4CO2bVN7rjRiSu5\nftwsjPsjwlH1ta9y1XPx8PBQmBU5tvf4KynZ9CH/nHYtAAffh43zI+8TPxgmahMoUFV4f2Yi+o0d\nONN1AnFr+6AbYkVQ9eS6nsIsN+UslJqfpdakzW/eQR9M+JnSRrSs8Sdy+8Z/MGfgP8mwaWcJKAhU\nkoIPMz3ZSzbR0UVVW2QWXWpG3VIetQzAnGuk050ZpF6cSEhvoo543Ngw4SeLErIoiXIba/YhpFL5\nQ5i9XxnI/0oivKUKQfllZ/KGdQY8w/qSNdvEyRcWk5p1ZMGtAQcHyeEQ6c0zGlRsuEmkBp0SouKt\nGg7cVkzwUHQOeFnXoTifn8D1k99AbFM4sZJkdtKXIEZEZNIpjxK7d9X0Zf6y5+np2M37E8/Epo+I\n0y5sXMyb+DHxd25pcW0DGOR0ujU+q8nu/sTgR7HeRDcOAKDUhKjruRO1puPzq0oCuw5cQ6iTk2uq\nV5IWWtlh3ys8r/BJ4WSen9IFqdVnYOjSpTgGDwbVjc2Ti14XOU657+1n9oLb+Ufahy1twaFT8dz8\ndrvvYXv7PPT7IxngnulPEBzaFAs0YKCDkhIJ5gOtynzcYPVzr+NXJKoqMnHvpWic7HXnH4p2fQNi\naRHOaYNaXsvp2TR+qZ29M2mSmy1bIqL/0qVWBg/++Xx7jp1DkYKRSKqG3utRTMf2W+23wttvl3P9\n9RGzyYwZySxY0HHR6WPF4R+A1Op7ocGwCkXsc8K2HyNGjF8HCQkJx6VdxzK8Y8SIESPGbwIjRs7w\nzEBSI+JqWAizyPoxXkHrOBlnDPNgm4fHfbLEte0Usbzqyv7MGrYZQo2sdpzHR4l3apa7tmxhzx//\n+JOKWBqVbDp57tRkcKtCgIO2ewkJHccktIeACYP7OWiTtRu03IOs6/hB/6egQ+QK9wiyw1oH1y59\nBa9b1yNz7OKRpNcz5ZVXyJ0xQ9PeUFDAwpkzcZWWdrDmz8O0wSE+u8VFqkP7t24q1HHaX+3sLjux\nP7kMIjzcy8dbg9w42xQzKw+InLXRxpLUDJZ+N5zp05Oi1v/uuzrGjVvPv/996Jg+u/aBAxn6zTf0\nfv55DOnRBQPNWyvpNukdhl74JFfJjzAn+20SDNqICbcq8KTHzKBKJ7c3mCmRI79h45R4JvgmMq/h\nak7zTIkqStuaOqmONebVvOl8ndedC/nWlkJ53N2E4zbTYNiIR/ck9aFzafD9/wgRwXAcXubSaPiC\noG0ZIelsECRqxGo+sL8XJXYLqsB0z4wWsRvgOU9kAKKfa61G7EYnUZ/aLCS0iTSJS7awaXeXltcp\nE7T7VrcFAm1uJYIAne48wjT8sIprbj5qQEEVQhRbH0FudmEnev7Ageqxmu792IUbG5+jzX1PNNXw\n9Mhr+PeO37O9Wpv7L6KSRgUJ1LKb3s0Z0Noik8mDJC7dEGDw88mEE6KLbfoOBNhzeQFre2yj+qUS\nkv3ldOIgJvzk05XvmMBWBlBNYrvVEUS9QNp4PRMeUrl0Y5g51U5OXWijy03J6MemoZzIKRrHiawz\n4OnbA+nKofT7pBeX1du5aU0R59+ad0Sxu4IUNjOIHxhFOZmoCC053WlU4F5Wy4ZhO9k9N79dsXvn\n7MuZsdbGDVMWRIndJWSwjQEEMbYUumwrdu+p7cWtK54gy1LMmyf9TiN2A9zDA1SQyk08phG7BVVH\njudOjditoLLd9EWL2A3gvavkiGI3QN35fQh1cpIaqic1tKrDfg2qg3eDF3DKwtc0YrdtwADsg5oE\nWVftpxqxO6+hO/nlaUyzbtNsK9yvzQV4GFVFKtHeB8LZTQ5vl4smsRvacXifuEKA/x8IwTqN2K3o\nne2K3QCq+dcXaYKoHSgW/kczvKEp0qQ1+/adWIe+IsZyvGPEiHH8xATvGDFixIjxmyFdTmeS91RN\nm0ty8Zl1EXKb4llXWgKc36aI5ecBA4+3KWIpCALPPz2GbqavQQnxbvIDrLdpRdjKjz6i6Omn+SnY\nwkPI8F6raQuJ1Ry0/QWFYysCKarpGN0vgNpKqBFkArbrUaQ9Ha/4EzCh51r3GNJlrSC11VDOG9aN\nKMdYiBOaRO/TX321fdF71qxfnOg9uLPM4jsa6Z2h/awV10ic/oiDb3eeeEfaGSkhVox2McypFURU\nBJ4pNPG7fQnc9fwAnnmmV1RBy8bGMH/4w27mzNnBoUNH/xkTRJG03/2OUevW0/mWWxDN0S7xuP/k\n0bv3y4y95THmmx7gnPSPcei0edF+BF72mhhS6eS6egv7W+WS69HTL9ifC10XcUHj7xnkH4xJ6XgW\nRZ1UxwbTOt51vM0rcS/xpW0P28zD8TgeR4lfT72xAJf+E7y6+2gMn0+tdzi+YMdFDI8GfygJV2gS\nPulWGg1f4rHmETA9gSyOAkHAI3hYbl7GW443KNdp3ck6VccMzyy6hiJi/NaQxJJAk9hrkTz0WqMd\noLIOGYgn3HxNt4k0kQWRmiIH/ubl5lRw9m3VQYXSL6L/huGjS/DO6Nzh3yjv8OG9v+k6C0hFlFgf\nwxVWuXCzkz8sf5idNX01/QexDS9m/sMsTbtZ5+OpEdewvWQgX+RPoy1OGsmmmAacfM9YytEOpoiS\nwNA/KFxWIJFzayayIVo88xcGybu6kDXZWyi6swBbcRldKCCFSuqJYyNDWc7J7KYX9bRfMBXAGC/S\nebaRU/6hMHdViCsarZy908n4123k3pqCdWYmaq8UFOOJLU4LoIgS/tQUAkO7oZ/bn05P9eLU1Wlc\n4bZxw44aLn2pkFEzqzBYO96GDxP5dGYVY9nCYCpJRUDFQQM5FJGqHsK7vJrNp+xhy6Q9uDdHC1RV\nGb2o/td8HvnwCwYnaTOvVWAnvdlJP2R0GJud9G1d9Ltq+nLT8mdJ0NfyzoRzSGyTcf8E81nFOObz\nJF3RFnBN812BWdbm935tOMgUKRJHFFrvxv9ydPxKaxSjxKEHm8TnmY15GhG2LW8E5uAPGzllobZo\nZsbcuZE4E+/rmmUfF87GtGszYx2FmvaO8rvFmv2I/sh9UDXaUZKbYte+/77VQE8bwbuP7tcVaSL4\ntedFNSUfoXMbOSL043n1P8FfcEJQxTbfRf/DkSZtBe/8fC/h8ImbISML2oshJnjHiBHjWIhFmsSI\nESNGjN8cy8xL2WLSFnsb6B/EJJ9WDPepMLXazrZwRIgUUHk33s1kk1ZALCpqZMzUbXjjZmCWG/lr\n4Wiyg7siHQSB/u++S9LkyT9p38vML1Bj+kTT5gyeRLbn9mMuPBnWf03Qej20cuYJSirGxg8R1Wh3\n7omgUfDzpH0llZJb0z4qkMOF3iGIx/HTQw6F+OqKKzjw6aeadmfXrpy9aBG2jIyftM8nmkYfXPqS\njWW7tE5VUVD5yzk+/nBqAOG4f4G1T0iBvx0w8USBqaVQ3mHMosqDPb2cojZy3XW7WbUqulCh06nj\n4Ye78bvfpbWIO0eLv6SE/AceoOKDD9pdrhglqq8dSsVtY9mqn8CSqpNxhaMFRwGVGaYQV1v9jNTL\nUcdIRqZQX8Auw07y9QdQhKN7qE4Op5AVziI9nEF6OAO7akdoPkaCWouoFiOoVYhUIahVCKoHCCIQ\noMlXagHBjIoNRUhHETJQhBxUUmm7kyoqFdIhthu3scewm7AQ7cy0KTamu2eSLkc+t6oKZ9baWBls\n+swMdG7kj/MvIu7DyABVp5tu4i35dzz5ZBHcPgAujjjfHnJ4WXHfau6//i5GpqwDYPcTsPvvrY7D\nWBjfzilaX96dg6MOIIY6OJ4iOJb0wjCxaTDrs71X8fctlwHgMDTw5MRryI3TihDb6Us98VzCgqjN\nfVR4LsuqJ3HNoGcw6rQDLSpQRzy1JJBENX3YFeUaBnAXy3xzl43qd8oR5fbFQEGCpDPjybgqhfhJ\nDsKSHhd23NgIYsSEj2SqSKaKBGpbCkceLaqi4i1T8FWo+CoUag8ZaDikx1sh4PeIhAISoYCEHBQg\nJCOgIlpFJJuEaJEwO2RsjgDxmSGSOgdwdgJLhoioO/abQwADVSRTQSo1JLYUYjUQwEEjDhoRZIXq\nT+spfqychlXudrcT1hkouOD3XPrUTnrFH4ha7sPEdvpTR9NgkZ1GkqlCbCMk76zuxy0rniLHcpC3\nJpxLqlkbd/VPLuVZrmMer0TldjuCo8nx/LnlGm163wDL424gSygEQA0o1I3ajbIl4hgXdDrUsPZ6\nO3TnGA49dDIZQT9X1TyNQMdO6b4NO7AszeeO62a2tElWK2N27kTncEB4G/HhkzXr5L63n9EL/sFb\naS+2tCkJ6TQ8uyPq3gBg2PA61s8j9TRCXU/GffFCAG6+2cw//2UCJ9Cqpq0eleK0egwn+Dvjv4mu\nYiX2pZFBr1DyKNyntTPiBoj7d+M8JzJbRM7JpXGRNuf8lFPcbN4cuc6XLLEyZMjPF2li2zcdvXt1\ny2tXt08I28f/bPvzc9Oz5yqqqiIzHzZsGEnXriemiKcx/CqW8K0trwPi+XgNL5yQbceIEePXw/FG\nmsSKVsaIESNGjN8cJ/lOpkaqplgfyfHdatpCkpzMgODAljazAG/Ge5hYbae2OU5EReDKeitLklx0\naxUVkZPj4M1nczj7mtX4EsbwSPYnPFIwArvSHDmgquyaN4+h33yDtWekyNaxku67koBUilsfmfbc\nYFiBUc4m1X/xMW1LF5qC6ruDkOVnyWFaAAAgAElEQVThljZVrCBgm4fJ9S4CtuPez45wqCaud43j\nSfsKaqSIc/AHYxF6VeI830CNkHE0HHZ6f3X55Rz4LJIb3JCfz0czZ/7iRG+HGf59vZtb37Xw+oqI\ny15RBe7+wMLOEonHLvJi0h9hI8eIXoS7u/uZmBjm6h1WSv2RwRGfInDTbiunJhl44b3BfPZmCfff\nfwC/P/L5bmgIc+21e1i4sJInnuh5TNnepqws+rz0Epnz5rH/zjtp3KCdsi8GZFIeX0fiy1tInr+O\ngTd+z3bG8U3VBI3wrSKwyG9gkd/AQF2YK60BzjIHMTZ/XCQkckPdyA11wyf42K/fx37DPop0B48o\nflfpKqnSVbKZptxxq2IjLZxGkpxEopxEopxBnNIX3XH8LFZR8QhuynRllOpKyNcf0NQRaEvXYC6T\nvVMwq1ox4FO/vkXsBhhoXIf9S63gmDR1KvVvNQt2bcTpkArjcnWsPjS6RfDOmqkVvKtWg6+iyf3d\nmqHp+9j1xwHYH9PGMrSggOt3+4nb1A8p08AZPV5mZUUPfigfR2PQybNrn+SpSdeg6CMFNvuzk/3k\n8g9u5E88qRGTz+78AT2de3hw9X1cNfg5suyRfFYBSKAOG26qSOZ7xtKVfDpxULMNW7bEWW/4cD1g\nZ8kDdqreOIQY0kZyqDJUfVRH1Ud1GDL0pP4+kbQ5SeT0sxDAgBsblaRQTDYiCgnUkkgNcdThwBUl\n4rZFEAWsWRLW5kSa7KYzccR1OubY6xzU46SOOKpJpo74FpFbIoydBuy4MBIkWBGi+PUqSp+vJFDU\nsXs2f/x0Rv1Dx9UjFrW7vJQM9tGdACYEFJKpwoErqt/y4kk8vPZe+sVtY8FJFxBn0Ba5XMhsnuU6\nzmJhlNhtCueS5bkl6jtile3lFrEbwHN7sUbsBlAkgdbjS6F0G5V3jAFV5byG748odn8QPIddch8e\nfO0qTXvKWWc1id1AbfkbxLcyKn9dMpn8Q+kssGr/huDos9oVuwEMOz/WvA53aipMraqweEnz9d+m\nVnUvnfyrEruhHYe3MTpW6zBi1SHNayX5vzMYf0JpWzRR+d+NNIGmwpVVVZGB9H37vCdM8JYF7UwP\nSd13QrYbI0aM/w1iDu8YMWLEiPGbxCd4ecf+lkZ8ElWRc1znkSlnafquCOg4u00Ry06SzFeJLlLb\nFNV74okNPPB6F7B1Y4BnCXcXnY7UKi7FnJvL0MWL0cdp86yPBRkPBxw3EpAOatqz3bcRF5p4TNtS\nUQmZHyBselPTLoZOwuh+EYETqLq2okb08IR9JfWidqrvJH83Zvv6HbPoDc1O7zaiN4Cjc2dmf/wx\nzk7RBRJ/TlQVnlts5N6PzKhqdDHLN69xkx534n9O1YcEbtxl4T8V0ZELTp3Co719DGis47rr9rBx\nY7Q4a7NJ3HtvLpdckoEkHdt5UlWVyoULyX/oIfyFhe32CceZqLxlJNXXj2JXeAxftRG+W5MsKsy1\nBLjUEiBdav9YBQhQoM9nnyGPQn1Bu67qo8GiWLArDuyKHZNqxqgaMKhGdKqEiooqQJgQPsGHX/TT\nIDZQL9b9aHFNAJtiZ4L3ZLqHekR99qtlgTHVDqqVJsEy0VDF7TuvoeuZkSJ4uoxUxm3byWWX7+KT\nT6rgj33gql4ty++y+Zi47yBP79jEJ+f9vqX9i0km/HsiYsyAv0C3VsXwDrMj3I3tJ1djzI92/7fs\nw2gbzuW9EAwivrCJ+ctewBTuwftD3DiNNRTYbycgFWnWKSOdJZzCzTyGHa2r2B2yct+WB8mIL2NW\nt4XtvmcjdmpIRE+IHuSRzqF2+3lKZb571ErxP+uQ3EfOkLUNtJB0ZhxJs+KxDbIgCzq8WFr+KUhI\nhHHSQDx12HFhw4WVny+2IIxEPXG4sFNPHHXEE+Lw9a1iIIgVD1Y8mAgg+xRqPqvn0IIqar9qQD1C\nIkZp/zF0fyCN82auQidEdwxgYA+9OEQaIGDETyoVGNoR99/aNZdXt1/NGVmf8cTI67DotOfiM6Zx\nH/dxJv/hAt7TLNPLKeS6nkCvautPlBpWUWt9sOV18LM6Gmf8uOh18I0Z1F3cnxGeQ0xv/GeH/cKq\nRN/GndiWH+CuP2jjdiLFKl0YG/tiMUY+w7MXL2TH6172GS7SrNPwjzUomdGD3oKrHOfj/TSxKg3X\nrUNJ7MbevSKjxzTfAx+F1jH4860+/uz4dQmqxr2vYNl4W8vrQLdL8I54vN2+hk/ewXrvdZG+U8/B\n+9eXNX1+aQ5va/7FGBoiVYDdXV4nFDfzCGv8trnxxr28/nqkIPF99+Xyxz/mnJBtC2opcYH+La8V\nHDQYCzocVIoRI8Zvk+N1eB+7naCZ22677b7jXTdGjBgxYsT4b6NHT3Y4h12GnS3uT1VQKdDn0zPY\nEyMR520nnYJNUPm2lcOyQRVZGdBxdiuHKcCoUels/f57DlSmUWHuh1dyMtjzVcvycF0drm3bSDn7\nbATx+EpliBiwh4ZTb1iGKkTENJd+HbbQYPTqEfIw2yAgIIbHoUq7UaVITqoqHUQVq5FCE49LfP4x\nLKqBfqE0NhtKCbQSUQp0taio9Agf/d9wGFGSyJ0+ndo9e6jLy2tpD9TXs3/RIjqfdhrmxMQjbOH/\nF0GAEbkyQzqH+Wa7nkA4cpzL60UWrjMwsluYjPgTK3qbJJiZGqKTWWFFrZ5gK7E9oAh8Vmmg0mji\nheuTSIuXWLOmgXCrTOhgUGXx4hqWLq1h4EA7aWlHX7RPEARsffqQedllmDIycG3fjuzSukBFfxj7\ntwdJfGkTKWoBAyfsJyeukbJgEl5ZO+vAqwqsDup52WNke0jCKqh0khTEVh9ZHTqSlGR6hnox1D+M\nnHAOVsVGWAjjETxHbe8ICSE8optaqZZKXQXlujJK9MUU6Q9SpC+iWF9Eqb6ECl0FNVINHtGN3I5A\n2BqbYmeMbxxTPFNJVlKirjVZhcvqbexoFat0UtJyht/zOqZ9tS1t6ef9jqQpU1iwoIyDB/0wNAlG\nRK6hUYYwszP13P6azM2T/9WiBSiuMFWtosAbKgx0uzg6LiZFrGXriLHo39RmKbdGKQmi1oUxnBGH\nXgwzMfs7rkkZSqLOjoQZZ/AkPLpthMVIVrMdN7kc4FmuI5cDxBMR1A1SiMmZX3PIlc4LO66jX/I2\nLHqtQGokiJMGwugoohNVJGPBGxVzYnCIdJ8aZuANOoRMO2X7rAi1WgfwYYIVIeq/c1H2UhXlr1UT\nOODDQJCEtCCJxgZsuDAQIoCRGhIpI5MiOlNIZypJoZ44PFjxYyKMDhWQNMOlx0cICT9mXNipJYEK\nUikih310J48elJNJDUl4sKJDxoqHOOpJoYp4GtDXuqj7qIrC+0vZe2Uhle/U4NsXoCOjeunQ8WQ8\nP5irntzOoF4FUUUpAYrIYjsDaCAeAZVEakihEl2b+Bd/2Mij6+/mw33nc0v/R3hw6B3oRa0g/g4X\n8DB3cB4fcD7abB1RsdLV/QhGVTtTxyft46DtfsTmQSy5NEj96fsQfEeOn/GMzqT0ydPQE2Zu7UIk\n2o9wAXg1eAVv+Ody403nE18dGVBJnDyZnOuvb9qPhndIMEUGWss86Vyz4lluXH8L4x2RaybcYwSB\nmfPbfR/j5rcwHFga6Zs+kMD4pniTf79vYNkyfdPc6/ug1c8T7nP4yOxgsO+Xir7sa/SVkciPUMap\nhFPbj/zQr1qMft2KltfhMZMIj9YO7L/xRpBDhyLHYM4cA+npP18pMkPDl0j+3S2vQ87Tkc19j7DG\nb5v8fB/ffhv5vsrMNHHGGR27+o8NOyb5OYTmATaBAAHdpSCc+BmKMWLE+OXyt7/97f7jWS8meMeI\nESNGjN8sVtVKvBzPPkNEHA0JIUp0JfQJ9kFs9TU4TC9TLIsa4alCEdkc0nGWOchho6sgCEw5LZuP\n3/qaBrUn+yxjSAoV0TWwpWU9f2EhisdDwqRJx73vkmrDEu5DvWEZHI5rEBRc+nU4gychcYSqZW0Q\nEJFCk1D036OKkSxVVbcTQTUiycOOez+PhFU10CeUymZDKcFWwuB+fQ0SIt3Cx/5AJEoSudOmRYne\nIbebvI8/JnvCBKxpv6wp0bmpCtMGh1i+S0+tJ/KQ7g4I/PsHA5nxCv2zT2xRMkGA/g6Z2WlBtjVK\nlPi1P/nyPBL/Ljdy7gQ7t12UyM6dboqLtU7l8vIgb75ZRm1tmBEjnBiNRy8wCJKEfdAgMi+7DH1C\nAq5t21C8WjFT9IWxfVdE0nMbSHQX0G/8AfqlVVIRctAQiqO1Uq0gkCdLfOg38pbXSJ0ikCUpxIta\nIUhExKk4yQl3YkBwIIMCg0gLp2NXHAiqgFf0oR5l9vfxIqk6uoa6Mt53EpO8p5IhZyB2kL9/t8vM\n+76IumWWvFwgv0r29V+2jt6nx6OPYszI4OWXSzh0KAiDEmFUSsvykfowEy0K735YyNhRO0i3NAl3\nlkzY/5rQInqGq2TSJoK5nQSgjPQGNvp7Y1lXHr2wmfB6D4JTQj/ahkHy4zeuwREajaTaETHhDE7A\nq9tLSIoIhwZCDGILb/N7ZKSoAoW943YzJul7ntp6E9XBZHomaAvrCoAFHw4a8WKlgC7UkoAJP5Y2\nrmvJIJAxXGXIdQqpJxmoCibjPRBEDLfv+pcbZVzrPVS+U0PRo+XUfFpHIM+LPuAnPjlIgtmFkwas\neDAQREbCjY1qkjlEOqVkUURn8ulKCVmUkEUZGZSTTiUpVJFMNUlUkEolKVSQyiHSOEQaJWRR2Lzu\nPrqTz/+xd97hUVTrH//MzPaWTkiAkIQqICBVQFTAAqIo2BDFKygqoteCFe+1l2tXsFy5dkVEsNAU\nFBVEiiIgTTqEEkgv28uU3x/BbIZsAgQQ9Lef58kD58yZM2d3Z2dnvuc937clu2nOPppQTCPKSSKA\nFQkVG36ceEiinDRKSKQSs8dDYHEpBW8VseP+vWy7czcln5fj3xhEi8QWSCNGC4UDz6Xj/5oy6qkN\ndGi7GynG96GMRNbSkb1koWDAip9M9mHHX0vY31GZy92LJrGtrDVv9h7NVbkf1+rvdcbyGrcwgqkM\nQ2/rIWoWsn2PYVP0UdFhsYAtzvuQxCqxWgupVA7Zira5/kh7xW5k+/zhKCk2LqvYRIb8a51tA5qF\ny7yf0WHePAZ//KpuW/t33sGcng6ajFpxCw5rVNB7af2dLPoqiWm2Z7DWSCoduOx+lOyOMY9lm/cA\noif63Qr2ugWlWU8Ann7ayq5dEvQALo/ukyaqPOkK6Cb4/gqYdn2BoSx6TxRpdjFKateYbY3zv8Cw\nYVV1OXzOEJRO3XVtTjbB21j5LYbAuupyxDUAxdb5hI3nRFNZKTN9emF12WoVueaaY2QzJwgYldmI\nRPuPSANRhWMTQR4nTpy/BnHBO06cOHHixIlBipqKhkq+MeoT6xN9uEU3LSOtosnrBDjPHGF1xMBO\nJfrzuEuRyJNFBlsi1VGRZrPEgLPS+OjtH5Bt7VntGMSp/u9IlaPHcK9YgbV5cxwdOjR47CatEUa1\nEW5TNFJKFYL4DL+RGO6HSG3LiroQMCJF+qMY54EYjbhVjUsRlBxEteG+4/Xh1My0kRuxypiPXENY\n2WIsxqoZyVGSj7jPPyK9K3fupHRjNMpKDgTY8vnnZPbqhbNp03p6+PNJcWhccXqYDXsldhRFzy9F\nFfjqNxMVfoGz2spIx/gZPtGoMTwzjMugsbTcgFIj2tuvCnxZaKLAaGHi2FRyMkwsW1ZBOBwVFjQN\nVq5088knBTRpYqFNG9sRJbUUDQYSuncnc9QoDA4HnjVrUEN6YV2MqNiX55P66q+49u+k7em76JGz\nG59ipTCUCgeJxV5NYFnEyGS/hcVhAyENmkkqthjvnREjKWoKzeVsOoRPpVuwOy0iLcmQM0lUEzFr\nJhRBIUy4wUZ/kmagsdKYNuE2dA/24Bz/ObSLtCdZTa5z9YSmwZMeC5N8Vl395ekLOGXSVByLo/kH\n7Kd2IOeBCQiCwCuv7KKiQoZOydA7asbd1aTQ3yyzc30+pakCZzSuumYYXZC3PBN5d/Q774nYyB5U\n247CpgUoPasl7lleDKV1i4qRbyqR2lkxtLeiCn7cxj9EbwciRhLCZxIRiwkadlTvI6LRiXX8zil8\ny7l0YRWGGlZQDqOXC5vNptjbiJfXjCc7IY9kS5nuuCIaDnw48OLHTh45lJKCmRB29JMpgiDgyhFp\nf5lMpzuMWNraKCxLQdnjRdDqiJbVILw/gnuZl6KpZex+dj8F7xVTuchNeIsXQ6UfpzVIktNPklBl\nd+LCjQMvNgIYkBHQ0BCRMRDCTAAbXhzVdilBrASxEsJ8wJJEwICMlSB2fDjx4MJNIhWkUErKAT9x\ns8dDZGUplXOrBO6d/8pn2127KfyglMqfvIT31e8dXta8DdKN3blomsqQm7aRm10Us50HB5tpzWba\nEsSKkTDpFJJSR1LP2dsv5qElz9DGtYkpZ11Bp5Q1uu0RDDzFBGZwOf9kEueyQP+ZajayPU9gV/S/\nk7LgYbvzflSpapyaquH9xw4iX+n9wGOx981BeAfkkBPycp7nEwTqnkx8KXQnXwYu5p47L8NZGT3f\nGg0dStMxYwDwln1EE1dUxFdUkX8s/IC+8ycxOvGn6nrN4sB38yQw1P5dFst2Ylugf1b3DZkIFhde\nL9x7rw1FEWAkUEMvH2oJM9jaUF/4E4dp+xQkd41VWLlXoSaeErOt+YsPkXbWaHvJCNSW+rYnm+Bt\n8CzE4I+K9LLzbBT78Qkc+CtgMAj897817rF9Cv/8Z9YRJ8CuC6O6BEmrca8ndEcR//9OMMSJ8/+R\nhgrecQ/vOHHixInzt0dDY5b9S3aY9Eng+vrPoltIH0nkVeGSMierInp/yHH2II+79CLQV19t55rb\n3dCoP4lyAc/u7EaKnF+9XTSb6Tx7Ngndju5BqMDyLsXWabo6e6QT2d7Hj0j0BlDFbQSdV4JYw7tZ\nM2L2vock9ziqcdZHnlTGq84lBA/yVx7u68wZ4ZwG9akqCgvvvpv177+vqzdYrQz+4AOaDxjQ4PEe\nLxQVHv/CysT5tZNC9mwh885Nx8fXG2CzV+SW9XZWu2t7nyYaVJ5sE+AM1c2DD25jzpziGD3AgAHJ\nPPtsa3JyrDG3H4pIZSV7X3+dvZMnI1fGFq80ASovbk3JP7vhO+NU1lT2YEFpD3xK3UuYJTTONMkM\ntYa50BIhUTyy91BBwSd68QgevKKXoBAkLIQICWFUQTkgXAtImoRVs2LRLNhVB0lKIg7NeUS2QBEN\nHnBbecevPwdam0sYmfAMbXImInmjyQVbv/ACTUaNAiA3d3GV4H1NC3ggmoD3RluQ/yQEWLx4D8+s\nz2fJqKgJ8I55Vn4bHb12qUaJwcsVrBm1xyYj8b+CS0g9YxaSvx6hzSjgmtkK06CqXAVGpRE53qcw\nq1UTTRoaJebpFFjfhYOsMvbTmBlcyi28QWtqezFXhBN4acM9eHAwst37uMyxk4BGMFBOEm5c2PGR\nxW4y2acT0g8mUKSyZbbI2hk2/AuLkIKH9l8/GMEkYMk2Y801Y8mp+tfc1IQxxYAx2YDhwL+SU6xX\n8NE0DTWkobgVZLeC4laIlMiE8sOE8sMEd4UJbA3i3xo8pKAdC29KBsLA1pw+1kOP3nn1jsWLjV1k\nk08TNEQkZJIoJ4HKmGd2oS+dF369n9VFXbn31Ce5sc0btSxRSkjhHp5jF825j2doif73V1Tt5Hif\nxKa01dUr+Mlz/gu/4ffqOt+EPQSernvlwR9UXNqGvOnDMGkR7i6agUXLq7NtgZpOO/fvdP/kU256\nbGx1vSBJ9Fi2DFvLlqD50Up6kOyM+hO/tel6xnz4b5btuoDTjdExhvpfi3/MyzGPZfnxBaw/PFld\njmT1wjuqygN67lwjI689cG2bDzSJ7vdRkpcLLH89wdvx7QUYi5dXlz0DZiGnnxGzrXPkuRjWrYy2\nfWcucpdeujb9+3v57bfo9/rbb+107XriPLyt+Q9hKYquCPBnPkwo/fYTNp4TjapqNGv2I4EaVkNb\ntvQhNfXI7k/rwiI/g1V+proclMYSMD5Zzx5x4sT5u9FQD++44B0nTpw4cf5fECLEJ64plEnRKC5B\nE7jEO4xsWS+4ligCA0ud7FD0C6Eec/q51aEXSJ577hee/qApuNrTIvArj+/qi1mL+suaGjem23ff\nYc6IoS4dJhoqu+1P4jYt0dW7wn3I8k1AOMIFW4phOSHHaBBqPEirCVg8nyKquQ0e56HYZijhNcdS\nIjXsTQQNrvKfRu9wdoP61DSNJY88wqpJk3T1otHIwP/9j5ZDTs5EUtN/NnH7BzaCEf2tWCOXyttj\nfPRp07DEi4dCVuHlPAvPbrcga7VvA/unRHipnZ+Ni4u4996t7N5dO1maxSJy113Nue22rCOyOdGN\nw+Nh33vvseeN1wkXFNbZLtAhjZLbulF+dUfcWkfmlvRiiz+b+m5hjWj0Nsmcb4lwnjlCruH4Wpgc\nCdtkkVsq7Px60ISaQ1B5rMXbWB94i0Yv/lJdb0xN4fRVqzE4HIRCKhkZi6o2XJEDD59W3e4fthAv\nJfgJhxWyRm1hz6uX0MhaNWmhKTC3T2PCu6M2Iwlj0hjwaOxJjX2GdKbP706zkXNibq/GIuCa2wZT\nfxcAkppAjvcJrEqr6iZu4zL22J9DFfQR2DISX3IxaRRzLR/GFKm3VLbm2XUTyE7dwaWtPsUkxRb+\nZCTcuKgkAQGNJuTThPxaSTJr7RfQ2POdytov7RQuCiNui/1+NBTBICBaBQRRAAkEKfp/LaQhu5U6\nrUcaijunBfbzG9NtRCVdzth3yAjLMpLYQzMKSdcJ3S7ciDHMv1VN4MttlzF57Vg6JK7j6W530zZh\nU6126+jA3TxPApWM5wVSKdVtj3WuQFXC5iqxOxrNGZxchPemvEO+9nCmg81rb0BJsXF96VKahxfW\n236o93N+3NOdly9uj90bnVTJGDmStq+8AoCneCJZzkeqtwVkC60+3UrOh2+xuLE+2Mz9+DcoLWNM\nbmsarjd6IxVvrq7yXfA84e6jAbhqhJ35803QGqiRu9WCxtb0CuwnLpC5wbhmd0fyRCc4Ki9YUmeE\nd8LAUxELooEClbNXojbT35OdcoqbwsLo+bhihYMWLRq8UP2osex/CmvB89XlQON7CWbcf8LGczJw\n1lkrWLcues2dM+c0evduePL2mhiVz3FEotmWI+K5eE3T6tkjTpw4fzcaKnj/BX9C48SJEydOnCPH\njJkh3qGY1ahfriZofGWfQ7moXzqfKmnMSPbSSNQLZQ95bMwIGHV1d9/dnSv7boZgAdut3Xg9423d\n9nBBAetGjkQJ1hYODxcBkWa+e7DK+kg4t2kJ+bZX0erKSlYHknw6Jv/T+kqxkpDjejShNPZOx4CW\ncio3eU/HoEVvPzQBPravZrFpRz171o0gCPR55BF6Pfigrl6NRPh69Gg2Tp16VGM+XlzeM8zcezw0\nTdYLfUVukUtecjDpGzN1OS8cDQYR7s4NsvB0N6e5aovq35ca6b3UxZbWTfhxSQ/uuqs5RqP+HjMY\nVHnqqZ307fsL33xTgtaAgRqcTrJuu43TV62mzYsvYsmJHeVvXV9Ms5u+pl2zV2j12CRGas/zSKtX\nuCz1J2xS7KSEEQQWhY1McNvoVpxAzyIX/3Jb+TZowH2CtO8KVeAJt4W+xa5aYneSoDKx6XcENv5M\n2isrdNuybvsnBkdV9GdhYY3JtoD+s/MfeF0mk0Q3axmzdkUnegQJ7Fdm69qXTPEQ0l/2qsmUC+k8\npIySsV3qf1FBDfeFWwjPr0pEqYiV7HDei8cQ9Ux2RXrR0v0qFrmFblcDCpfxOU3JZzzPsxH9tQ2g\ndcIW3jrjOs5I+ImnlzzE1zsHI6u1RS4DCsmUk00eKZRSSDpL6cUyTmcXWYQx1toHwGAVyLlQ4uK3\ngty4VeXqwiT6Tksi5cYstLaN0I7SX0iTNRSPilypIJcpRIplwoURwvsiRErlYyJ2e7OaEx7WlaZv\ndmZofgZ37ajgpjc20bXv/jrFbhmJvTThZ3qwgu4UkIGRCGkUkU0eiVTGFLvXFndk7IK3+XDDdTzR\n5X6+GHBhLbFbReADRjKGyfRmKY/z71pit1lpTkvPK7XEblnwsNN5v07sDk0txXPLrkO+D6pRZNcn\nl6Ck2Ojt3XlIsXtqeDhfhi/h5kdv0ondkt1O9j33ACBoFSQb9BHbkzbcRv5meN71oa4+0rY3SovY\nHtWGbQt0YrcmGoi0vxiAXbtEvvnmwPl5UMqPs82Rv6TYTcSN6NX79Gu2OvycVRWhRD/hqaam68oe\nj6YTuyUJsrJO8Bsj6Fc4CWrD7+/+LrRqZdOVt2zx19HyyFEF/bVC1LYds77jxInz9ybu4R0nTpw4\ncf7fYNWspCmN2GzaVB0gqggKu427OCXUDgNRISpR1DjTLDMjYCJcI5p0XtBId5NM9oGoUUEQOP+8\nLBbPW0i+O4fdti6YtACnBKLR2OH9+wnu3Uvq4MEN9jQUMOCK9MZj/BlFjFpBBA3b0FBwyEfmZygq\nbQER1fhzjUo3quEXpPAQhDpEoqMlVbXTRElgtTGfmgHGG0yFDfb0FgSBJr17Y0lKYteCGh6xmsaO\nr77CkpRE466xxYgTSUaixhU9w6zfK5FXHL0l0zSBhb8b2bhPYkD7CObj8FGkmTWuzgzjMGgsLzfo\nor0jmsAPpUYWVJgYN9jFzVeksmmTjz179A/1ZWUyM2YU8csvlZx6qoO0tCNfviwaDFXJLa+/Hnvr\n1gR27iRcVNtfWAzKOJbuJXXiCmzLNpOStINuPTfSNzEfIxK7gilodcRxlGkiKyIGZgTNTPJZ+CZk\nZIcsEdQE7IKG8zhqJ5siIi/6LIyrsLEwbEI5KDK9qaQwOX09m0yzyBnyKaZ90Qg5c5MmnPLaa4im\nqvd10yY/U6YcsHXIcsCgqOspAxwAACAASURBVE99tqQy7IDXr7+ogq/Km3FNu2gEXHL7cvKnJ6H4\nqiYJpIjMFrkV7c6OrXpnRfby+wV9CK3wY95ZUfcLlDVC08qqPL3bWdEEmQrTQiTNjlVpg4CAQXOS\nFD4XRawkYNBbmCRTTldWMofB/Eo32rMBE/pI7mznToY2/4wKfyKvrLkbr+wkN2Eb0kETkgJgJowL\nDw68RDBSQAY7yaWSBFRELARjelEDGO0Cqe0FTrkoQtdbNTrdayF7qAl7FyehjDSCog3VryIE/3yL\nCU0UCWZlovXKIemyxrQbb2fAawJ9J0TofmUFLbu6sTnrT3xbRhI7yWE9HSgkgyAW7PhIo5hUSrEQ\nirluYr83g+dXTODtdTdxYZPZTO49mm6ptRNB7qcx43mRH+jPnbzMeSyoJZw7It3J8TyOUdNf52Wh\ngp2OCQQNUSEr+H4xnn/sRFAPPTGw+70LcV/UmoywlysrpiJQ92dUpKZxoXcuPWZ+xtB3ntNta/nE\nEyT36wdARcEzpDsXVW8rDyVyxXfTOWP2szyQ+pVuP9+4N9HSmtU+mKZhn3krojsawRxpO5hw5xEA\nvPKKheU/G6ueyJ8CnNFdxzmCdDYe22TGfwaG4mWYd35SXVZcrQidcmvMtkJ5CdZ3J1aXVWcCoRvv\n0bXZvFnlvfeiFk85OSJjx5o5kUj+3zB6vq8uy7ZOyK5zTuCITjy//+5jyZLob0Xr1jb69Tvy+7lY\naDiwKi9VlwXcBKXbQThxtjZx4sT5c4l7eMeJEydOnDiHyUrzCn60LdLV5YRzudg3tJYX78KQgSvL\nHERq1DsEjTkpHjrWeBh1u0OcNWgZu7SLEdG4f88Quvr0D8UtHn2UrNtuO6qxh4VidrjuIiLql99n\n+G8mNXTJEfWloRG2TUAxz9DVS+FzMPkmIXD8HibWGvfzjv0XXSJLgIv97Tk31LrB/W6cOpUFt92G\npur77fXgg3S7665jlkTpWKKo8MxsC8/Pre2L3Spd4d2bvbRrcvxCk3f4RW7fYGNJeW1lXUBjVNMQ\n/2oZYN7nBfz739soLa0tJokiXHttJg88kNMg4fsPNE2jctky9k6eTPHcuaDULfjISRbKr25P2fWd\nkTtmE/C1Z1F5R5Z5c+oUv2ORLqp0Nsp0MCq0klRaGhRaGhRcRyiEaxoUqgKrIgaWhw3MDxrZqtQd\nW3K+Ocy/UzfznXM6GTfNJuWt33TbT50yhdRBg6rLX35ZxOjRG6oKfRrB5Kgn7lmmCF+kVInlhYU+\nOozfy+5XhpFpj/oe//T8MIpejHomRIwmzlpsonFWbOuPgGDhTdPVpPWfjXVN7CSH1Yhgfy0b682N\nqquSQoPI9I/V5RlwG5eRb3sFWawtoheRxnQupy+LuZiZMaOMAebtHcS0vKto02gjF+TMwW6sP5Iw\ngAUPTnzYURFJpIJ0CkmjGBt1J+esi3ClimenStkOgYKdFip2CPiLIFSqEilTUEvDUBZAqM8D/QCa\nUUJzWdBcJnCaEV1GjI3N2DINJDaRadw6SNO2PhJyBSTTkV+7ykikiHQKSSeIFdAwEcaFGyeeOsV/\ngCJ/I6Zs/AfzdlzAhVmzuLvDf2hq3xuz7Swu4nnGcxq/cR3v4cJTq01KcCgZgRtqWXAFxTzyHA8T\nkaKRvsG3ivDcmHew/XtMCv7Vh4LHz8Ih+7m95DPM2p5621/qncH3+3rzypB2ONzR8zChVy9Omz0b\nQRRRQr/jivTDZIh+hvf/8jTPfDSY9eVDaG/Iq66PdBqA9/7pMY9l2LUU53sX6urcY75HyexMMAgd\nTk2grEyE84AXo20saKxPryT5CHMRnAxY1j2HdV10BVko92r8p0+K2VbatA7X8LOqy0puG9yfL9O1\n+eKLMNdfH/2ennOOgU8/tR/jUR8ZppL3sO+5q7ocShmJP+uVEziiE8/Eibt55JGojc24cc14/PGW\nx6x/V7AjEtHrT6VpCaoY2yYnTpw4fz8aamkSnxaLEydOnDj/7+gS6kaRVMwmczTh1E7TDpYqS+gT\n1CdWOtss83qijzEV0YR5Xk3gijIH81I81ZHeLpeZOZ92pc+FP+C2DeDlJh/zdN7pNA1Hl3xvf/RR\n7KecQso5DY8EMmlpZHueYodzPEqNxJP7bf9F0pwkhQ8/UaOAgMn/GCFxH6pxaXW9YlpAWHsQk/9p\nhOPkftYxksGN3tOZ7FiuE71n2jYgCyoDg22OKBHgH5xy1VUY7XbmjRmDGomKFcuefBJ/cTF9n3wS\nUTpx3p+xkESYcHGQbjkyN71jp9Iffc+3Fkqc85SL/wz3M/KMMMdDr8+1qczs5uWDfBOPbrFSKdew\nnEHgnb0WZheZ+HdfE8t/TuGJx3fwwQf7dJYrqgrvvbePzz4rZPz45tx0U7MG+XsLgkBi794k9u5N\ncO9e8t95h30ffIBcVjsS2VAeJO3VlaS9upJAx0aUD2/HoCtP4YI2TYn427La3YGvK3OJHOJ2t1AV\nmR8yMf+g/IUuQaWxpNFYVEkVNWxC1Z9ZABlQNPBoAqWqQJEqsl2W8MTwRT+YNFHlSZef9q61LLDP\nJ+WxhbXE7rSLL9aJ3QAFBTUtTfQTAf4ax01Pt9NRKOSDrddyf+dooq+ESwqo/CST0L6qBHzGSJgZ\nT3Xm1v/+QiysWpCrlFm8O+dSsvt8jGl37OSRAKjgG5uHsiWA/bksBEmg3Pw1AWkrWb4JmNUqSwNX\npBc2dzvybZNwm37SddGIYsbxOr/RiXt4lqv4hG6srHWogU2/ZmDTr1ld2oX/rRyLYFS5pNUXNHfl\nxX4dBLESBIoJYsaHnR3ksom2WAmQTFn1n4VDJ7E0JYikdBZJ6QytYkYSGwEjcrAqKaWmVvmoR//V\nEAwCpgQByUyNSbjIgb+DBfzD/x6FMFFKMiWkUUoKYcz8IXInU4oDb60I+oPZ78tgysZrWZB3Phc0\nncvc886lTcLmmG230YL/cD97acrtTKQza2q1kVQXTf134YqcXmub2/Azexz/QRWigmZgYgG+23cf\n1tW//IpTKHj0TIxqmJvLvj6k2P1R6Go+Dw/jvkcv0YndosVC24kTEUQRtAjBkltJTYm+T/t8GUxc\nM46LVt5J+9Z5uj4Dl0+o83iWxS/oypGWA1Ayq1ZjzZxpqhK7AUbq97vSFv5Lit0AhhL99UROqzsZ\ntlBcoCuraY1rtdmxQz8pk5t7Evi8CAdNDqtHnvz270Ykov+cDrZCO1pUsSWSGhW8JW0bKnHBO06c\nOPUTtzSJEydOnDj/7xAQyIlks8uYh0+M+gDnG/eSoqSQoqbq2rczqjgFje/D0YccnybwbcjIUEu4\n2mfT5TIzoI+BKVPzCFlyWGM/j7MqP8SkHXgY0jRK588nbfBgjCkpDR6/QUvALnek0rQQTYh6+bqN\nP2OVW2FWmxx2XwISUvgcFONCEKNeq5phIwh+RPmMBgnPh0Oa6iBHTma1aR9qjVC+rcYSFFRay2kN\nOnZymzakd+nC9jlzUOXo+1O4ciVlmzeTM3AgouHkm/Nvka5ySdcIS7caKHJHH+plVWDeWhPbiyT6\ntYtgPg5DFwTo7FIYkRmmICTwu1d/EL8i8HWxiSVeM3delsgNw5LZvt1fK6llOKyxcGE5n31WSEaG\nmdatbQ2Oqje4XCSfdRZNx4zBmp1NqLCQ8P79MdsaC304v8sjbeKv2OZtQgzvIrndDvrn/Mb5jnxa\nG8P4I06K1cNfCh9CoFQV2aVIbJQl1soGVkYM/BIx8Guk6v/rZQPbFYkCVdRZH8UiRVS52xHk1cRy\n3Anf85NlEY0eXkjGY3rh15qbS8dPPkE068c6c2YxK1YcEJ0TTHBlNMFskqgy2h5d9q+5Pby1tSO3\ndf9fdV168h4Czlsp/yZ6POfmfHZ1O42W2Xrh6Q8cqp80awXLLrmAxE83IfrrT6YqL/chr/JjuiAB\nwSIii2WUm7/FrGRiUZsDIGIhIdIXi9Icn+F3ndgJ0JhCurKSX+jBJww/EJ9cO8I8w7afC5rO5dSE\ntXybN5AvdlyGgkSmY28tu5M/MKBgI0DCgQhnERUfDvYfsD4poDEVJBLEgoaAkUidkeaHQjQISBYB\ng1XAYBMw2gWMTgGTS8ToEBANwlGtONEALw5KSWE3WWyhNVtpTRGN8WPDTIhEKkijhGQqsNZj5wKw\nuqgLr62+nclrbqFH8gomnT6WK3OnkmqpndfBj5XXGMeTTKArq7iTl2jKvlrt7JFTyfE+jU3Rr9rR\n0Cgxf06+/UW0A8mTNVnDd/suAo/V7icW3r7NyPtsGKJRYEzZAlLl9fW2Xy13ZqjvSy566wUGffK6\nblvuww+Tev75AFQWvUxWkj5ie/SP77BhVgXfZLxIghq1FAt3G0xo8C0xjyftW41tgX4Ftn/Iq6iJ\nVdYnd95lY/9+EToABy38eiPBR6r0FxS8NRXrr/ch1BCAA50fRrOkxmxu+OVHTIu/qS7Lp/Ui0n+w\nrs2UKWHWr4+et1dcYaRr1xP7+210L8Do/bG6LDv7IrsOP9jg78iPP5brLE369k2ib9+kY9a/pK7C\noK2qLitiB2Sx1zHrP06cOCc3cUuTOHHixIkT5wjxCB4+dn2IX4xG1Bk0A8M9I0hTGtVq/5Dbyqs+\ni66ui1Hmy2QPjhpBR998u4vhd1vA0ZbO3vlM2HOBTmiw5uTQZf58TKmxHwIPe/yGVexyPKQTvQXN\nTI7naexKuyPqSxUKCDmHo0n5unpj4C6MwbFHNc5DsdVQwhuOpYQFfdRq/2BLhgY6NFhw37d8ObOu\nvJKwR7+8PrNXLy6cMgVLYmKDx3w8CYThno9tfLy0tjib20jhnRt9dMw6vt6uP5QauGejjR3+2LER\nV2aE+HdLP7/9UMxDD21nx47Y1hA9eybw73/n0rv3sXmvvb//zv6PPqLg009jRn0fjL9LY9wXtaTy\nolYEO2eQomYiB3LZ7svlV18Wa8MWgsdpQgfAgMYZJpmrbGEutATZYf6dZZYl+CuLyBo1h4RZek9r\nyemky9df42hX+/s7YsRa5s07ID5m2eHr86u35UgKKxtFI7DLygK0vnYdP0x6kjMzFlfXr80bzpZR\n6xE3R8XBwua5DP3OTWNbSZ2v4zdrB77eczot+k/BUHJoGxCxhRnXZ60wdIomMksMDSAzcDOSFjUq\nVvBRaP2IUvNMEGqLsWGMfE8/9pPBCKbSjo212lT3pYr8WHoW3wXOwZwYoJdzGTlC3iHH+gcRDASw\nEsRCCDNhTGgI2PHhwo0NPzb82PFhw4+R+sX/Y0lVZLoNHw582PHgxI0L5cDqBREFKwEsBKv/Dues\n9oSdfL/7XGZuH4qkqlzT4n0uzZ5Ggil2NH8EA9O5nHcYRXt+ZwQf10pKCSBoRhoFriEtdFktCxNZ\ncJNvexm3KbqqSK2Q8Vy5jcg39awiqIG3bzN2fHUlqt3INeXLaB1aWG/7EjWFbp5fSV60kQljByPW\nWJ7i6taNLl9/jSBJaJH1OEMDMNawMpm2/QqGz3qbh766kkebRm3KNEHA/Z/FqFmxf2vt067FtGlO\ndTmS1QvvqLkA/PabRP8BrqoN/wFquJ70M0X4LCW2zdDJjlixkYSv+lSXVVMilZduAyF2VLbtX7dg\nnhP1+w7c8gDBgzy8Bw708ssv0d+76dNtDBhwfHKMHC623XdiLn2/uuxv8iShRsf3Pulk54kndvDi\ni9EEsxMm5HD33dnHrH+z/BY2+d7qckgcjt/0ej17xIkT5+9EQy1N4oJ3nDhx4sT5f02+lM8M5zTU\nGmKLS3ExwnMNVk2fdV7VYGyFjelBvRA5wBzh4yQvNVdwvv3uRu6Z2BRsWVxU+gLXFd2t28fZpQun\nzZyJZD86L8oK44/ssT9NTbNTUXXQwvM8FjX7iPpSxTyCzuG6SG8Ao+8RjOGrj2qch2KHVMrrzqUE\nBb2IdGYwl8sCHREbeMtSsmEDM6+4At9BkcHJbdpw8fTpOJs2rWPPE8/UpSbu+diGP6x/7SaDxhOX\nB7j+7NBxsTj5g4ACr+y0MDHPQlCtfSCHpDE+N8DojAAfvpPPc8/lUVkZWwTs3z+ZBx/M4bTTXMdk\nbGo4TMnXX7P/o48o++GHKk+VQxDJcOC+oAWeAdl4+zVHS0+gkdwYc7gZ5cEm7A5ksjWUxDbZwE5F\nRG7AOWcXNNoYFLoZZXqaZPqZZTCUs8W0ibWmNXgEN8kfrCPznu9qCceSw0GnGTNI6BHbAqBHj+Vs\n23ZgnzQLLLygelu6qLIxvVLXftTY79HOE5k5aFj0PVANDPhgGndMuFTXdvXNV/L4Q9Ooj2W27vyw\nuxMtBnyMsbh+32wALAKOV7Mxj06tjmQ2qKk09d2BU+6maxqQtrPf+iY+49qYXclILOJMdpDLYL6i\nLz/FbPcHbpws53TW0QETYdqxkSx2H1G0tgaEMRHCTAgzEYzVfwBGIlgJYCKMiTBmQtX/r4oMV2P+\naQgoSKiIKEi6/4erezARxFItwKvVorGGkYjumGZCRyS+y6rEioKezM8bzNrCTvTPXMCVOVM4vdHy\nOvdREJnHQN7gZtIo4Sqm0oIdMdvaI51o4v9nzJVGXsMa9tifQxajkyvKtiCVF21B3RSs1T4WNcXu\n4RUraBdcUG97WZM4z/sNG7dn8czw7jorE0NSEt2+/x5r8+aghQkWnEdGUvQcLPQ3ov2MDaRM+ZAN\nTe7DoEWF8NAZV+Af99+Yx5QKN+D6b19dnefqT5FbVtmZjRptZ+ZME6QB30DNHNHTkjyca/nzJlOO\nJaZt72P/5c7qciTzXLxn131dcQ3qhLQ/akPjeWs2crc+ujZt2rgpLo5+b1etcpKdfWJtTRzbLtMl\nrfTmfEAk8cJ69vj78/DD25g0aU+Nci633978mPVvUL7FGbmyuhwRz8Jr+uKY9R8nTpyTm7jgHSdO\nnDhx4jSQdaa1LLB/o6trGmnGMO9lSAdFp4U1GF7mYGFYH2E03BritQS/ToD818O/8vrczmBK5db9\no+hX+b5un5TzzqPDRx8dtb1GqXk2+2yv6eoMagotPC9gUmt7YtaHKm0g6LwGhBoRZpqAyfcihsjx\nfaDbJZXzqmMJAVHvMds7lM1wf+cGi96evXv58rLLKN+yRVdvz8jg4k8/JbV9+waP+XizZb/I6Ml2\nfs+vfY5ceFqYV671k2Q/vrdkuwMiD22xMqswdjLKXJvCE60DdJf8PPvsTt55Zx+KEntMF16YxgMP\n5HDKKccu6Vi4uJjiWbMo/OILKpcuPfQOBwiekoKnX3P8vZvi65lJuEUSZs1KI6URSUoyRjkZRU7G\nF07Cpzjxq2YCqkiYqiQ4RgEsgkaqqJEiqmRJKqliiApDOaVSKQXSfvYa9lBiKEH0hkmcvpG053/G\n+nvtSGpjaiqnfvghCT17xhxrJKLSpMmPyPKB99VhgJ+HVG93CBq7G+sTQa5YsZ+B/42w6anLaZ0Q\njSSfvH8MK++TOH9BVKxTRJH8KcO546yP633PFtl789P+DuQOnIY5r7Letn9gGpqEY3I2Ymr0mpkY\n6kfjwBiMWnJ1nYaGx7CCAtvbhKRdsbpCRWAF3dlIW3qzlP78gJlwzLZ/UEECyzmd9bQHDVrJ22gt\nbcEkHjqpZCw0qBa+ZQwoSNX/1vzTENAQOLzHLa1aEK/ZiwG5+u8Pub0hV8GQbOaXgp4szu/HqsIu\ndEv+lUuaf8aAzG+wSHX7D4cwMYshfMTVpFPEpXxGS7bHbCupDhoHxpAUPq/WqhyVCEWWKRRbpukm\nZ4Mfl+C9eRd4Dm/Fyh9it2Y3MqJ8CW1CPx5yn9v9LzO5bDRPj+hF1rYN0Q2iSKcZM0g++2wAyvIf\np0XKS7p9h377OTM/y2KV90o6G6OvW3Uk435hOZorxiotTcX57mAMe36urpIzOuEZ8z0IAitWSJw/\n8MDE323ATdFdW0oKy9PciCdfbuXDwrZ8HOYdU6vLgY4PEuwwPmZbMX83CYM7V5c1k5mKxTvBHF1F\n53ZrZGdHo/4NBti3z4XBcGLfINfvPZFC0Wuqu80PKLZOJ3BEJ54HHtjKm29GPbafeKIlt9zS7Jj1\nb1Tm4YiMqC6HxfPwmT6pZ484ceL8nYgL3nHixIkTJ85R8L11AWss+sRxnYOn0S9Q25fRo8KQUidr\nZL0IeYc9wEOuaJSapmmMHP0TX204G4PBwoQ9g+nk00ejZYwcSZuXXz4qL1eAQstHFFk/0tWZlCa0\n8LyAQTsyOwnFsIKQYxQINYQQzYDZ+yaSfOZRjfNQ7JUqmORYgk/Ui1g9Q1lc7e/SYNE7WF7OnKuv\nZt9yfRSjyelk8Icf0uzM4/u6joZAGB781MZ7P9a2OMlIVHljtI8z2x7/iMDFZQbu32Rjoze2zcmA\nlAiPtvYj7fPwyCPbmT+/ttUBVPmFX3FFOvfdl0N2tvWYjjGYn0/xzJkUffkl7pUr0WXWPARykgV/\n9wwCndIJtUsl2C6VYNsUVFfV+y5pEjbNhlEzYtCMSEhoqCioRIQwftFPWDhw3ioq5s2l2Jfm45q/\nA+fX25F8sQVWZ+fOdPjgAyz1rDbYts1Pjx5RAS0900zht1GvWwGNosYVSDW+Hpqm0efi+fS508tb\nvW6Mvk5N4rRFP3P7uCEkl0f9kksaNyXt61MZmv51ve/TUnsPFnh70uKCaVjX1PbWjoWQbsT5dg6m\nwdFrkajaaRz8B8mhwTrbCw2FctO3FFk+JiLV3f9+GvMrXXHioT8/kEPeIccRVCwsK+rDjwVnsTfY\njMbOfZzWaBXtUtZjlI7Pd0g9IHxHBfAqatY21Ce8PvIqs1lR2JMVBT3Z786kb/qPnJM5n77pP2Ix\n1B9NXU4inzOMGVxKG7ZwEbPJJvYkhKAZSAkNoVHwKp1dzR/4pPXk2ycSknZX16keBd9tuwi9X7eN\nzsG4z88lb8YwsBu4unwhrUJ1R6T/wevBsfzT/TJ333k5PX6YpdvW4tFHybqtyjzbW/Y5zWw36LZ/\nvO0qrv7sNcbPH8XzzWfqtnlvnUykz2Uxj2la9SH22bfr2w+fQqTNIDQNLhjs5OefDeACvgJq/Dw/\n5/Jzvf2vmwDRNbsHkmdbddkzYCZyet+YbU2zpmJ/aFx1OdK1N9635+ja/PabQv/+0cn3li1Ffvml\n9jn2p6JpJK5piqBFV+hUnLoNzZBcz05/f+65Zwtvvx21xHvmmVaMGXPsVtAZlS9xREZXl8PiRfhM\n79ezR5w4cf5OxAXvOHHixIkT5yhQUPjcMZ29xr26+v7+AXQKnVarfZEiMLDUSZ6iF/+edvm5qcYD\naygkc8HQxawuuwArYR7bdRa5Ib2wnn3//eTcey9Hg4bGPuvrlFlm6+otcktyPc8gcWQRtYrhB0KO\nW6CmxYhmwex5D0npelRjPRT7RDeTnD/hEfUP/l3DTbnW1xWJhi1nloNB5t90E9tn698j0Wjk3Nde\no81lsQWMk4XPVxi540M73qD+9k0QNG49N8SDlwQwHedcXrIK7+0189Q2CxVy7c9BQOPKjDD3twyy\nf205TzyxQ5fIqiYGg8CIEY25447mx1z4BggXFVH67beUzJ9P+Q8/oPh8h94pBnKihUiWi3AzF0qq\nFSXBjJJgRjNJVeq9piF6wkiVIYwFPkx5FZi2ldcpcP+BaLHQfPx4sm69tVaCyoP57LNCxoz5vbrc\nt28ia948G7cW/Qy2pVeQLEZvz1UNbpjpZo41gw3dO9DaFo1InFk0FMOakYT+EbU7AVh19iCGvbeP\nLqY19Y5npbUTc4V+NLt6Dglzt9Xbtiam4ck4Xm6OmB6N9rbIuTQOXI9T1l9XNGTKTN+xxzoVSYyd\nVBOq/K3XciqFpHMKG+nNMpwcngfyXl9Tfi3pweqyLlTIiVhMAVonb6ZN0iYyHLETpJ6MyKrEtopW\nrC/pyPqSTuyuzKK1cwu903+id6PFtEnYfFj9/EpXZnAZ6+jA2SziHBbgwlNn+4TwmTQOjMKkZtTa\npgheCqxvU2bWT6BEVnjxXL0ddevhC7slN53G3lfPR5I0/lH2A9nhXw65z/uha7ne8xa3PnAdZ87V\nr1xodOmltJs8GUEQkINrcIQvwGqKCpj7fBmcOn0Nzslvs7XdYxiV6Lbwaefhu2cqsfykBF8Jrtd6\nIgbKo+1bn49v+McgCMyebeQf1zmqNtwHjIzumyCorGtUqcsH8ldCCJaS+Hmr6rImSFRcthOMjpjt\nbQ/finlm9HMJ3Hg3wVsm6Np89lmYMWOi7/155xn45JNjtzqoIQiREhLXR5OwaqKdio67Y54P/5+4\n445NfPBB9Jr54outue66w0+gfihMyjTskahPeki8HL/pzWPWf5w4cU5u4oJ3nDhx4sSJc5T4BT9T\nnR/hlmokztLgQt8QWkVa12q/XRYZVOqkRI0+oQpovJXoY6g1KnZVVAQ5c+Ay9ooXkygX8fSuXjSK\n6KPl2rzyCpkjR3I0aKjssT9DpWmRrt4e6US293FEYltS1IVsmknYrvceR3Vh8U5BVNoe1VgPRYHo\nYaLzJ9yiPhKxXSSd6709MNMwZVdVFBY/+CBrJk+uta3PI4/Q5bbbjjra/niys0jkhv/ZWb2r9uvv\n2Exm8g0+Wmcc2s/6aCkLCzy93cK7e8yoMW4nTYLGqGYh7soJsH5pGU88sYPVq2MLZ5IkcOmljbjj\njua0bXt8xAw1FKJi6VLKf/qJih9/xL169WH5fh8XRJH0YcPImTABa3b2Ye3y4INbeeON6GTcP/+Z\nxaxbTtNNuP2SVklLQ9VrKggJjF1nZ1FZlbB8ZdonfHLKVbo+9wSnU/jyYnZPnKir//aGcTz4yJc0\nFfUJbA9mq6kF01xDSPn3ctKfWXZYrwNASJSwP9sM8/VpCDW8GxyRLjQOXI9VaUEQlQWmcj63lFAg\nBejIWvrxA5nUL0IX0ojFnIEfG11ZRT9+OGzxG8ATcbCqtBvryzuyy5tNCBNWc4BMRz5NHXto6txD\nijX2yoU/iyJ/Gns9UiH+HQAAIABJREFUWeS5c9ha3oa9niaYCdM+cQOnpaykc/IqWrhi247EYi9N\nmM/5fMu5pFLCWSyiM7/VG3XuCvcmLTgcm1L7d/GPCP1C6/vIYlT41bwKvof2EnylEA7zq6cJsO+5\nARTf1QO76ueGsm9IketOXPoHn4YvZ4R3CmMevoVzP3tLt83RoQNd5s1DstlALUItHUCKM3quhxQT\nZ89ZyIpPfPzmuJMOcjTBq2Z1UvncUrSU2EKebeY4zL9FLT00gxX3uGWoiVmEw9C7j4sdOyTIBT5D\n5939oCPAeOfh+ZifjBjz5+NYFL3GyEmd8Az6oc72rgu7IO3Nqy57Jn+J3EO/0uq554I8/XR0YuTm\nm0089dSxnxw9EiT/alyboyv/FEsb3Kcc/vXv78q4cRuZOjU6MTlxYluuuab2RFhDMcnvY5ej/vAh\n6Rr8xon17BEnTpy/E3HBO06cOHHixDkGFElFTHN+jFwjslnSJIZ5L6epXHt55qqwxMVlTnxa9CfV\nhMb0ZC99zdE+du92c+aFa3E7L6JJaBNP7uqDUymr3i5IEqd+/DEp5557VONXibDL8TBe4ypdvSvc\nhyzfBJ11wOEQMX9IxPbYQQdJxeL5BFE9dgmJYlEsepno/IlyUZ/cL0dO5mZvL+zakQn4f6BpGqsm\nTWLJI4/U2tbxhhs486mnjtpX/XgSluE/syy8Mt+Cpulv5axGjSeu8HPdmeE/JeBsg0fi/k1WlpQb\nY253SBrjsoOMzQrw4/wSnnpqJ5s2xY60FgQYPDiN8eOb06nT8V22LrvdVCxdSuUvv+BetQrPqlUo\n3sMXRhuCOSOD9OHDyRw58rCF7j8YNGgVP/8c9cx+7732TOzdglWR6Hn6dYqbniaFeUVGbttgozRS\ncyJOZXnn0+nhWlFdt68sF3PqD6y6YCieVfrrxfSnnuKla1+hsVhY77gKDY2ZkjQMpufT7Mavkbz1\n+2nXROpiw/FSFsYzayQy1QQqle58Ip7JNjH9oD00ctlBH5bQQVuPKNT/KLKXJqykCyEstGIrfVhC\nBnVHitdFRDWw3dOSTRWnkOfNpTCQTlgzo4mAqOEye0iylJFsLiPRUk6SpQyXqRKjGMEkHZ5PuKoJ\nBGQrvoiDilASlaEEKkOJFPsbURRIp9ifiqpIGIUIGdb9NLfn0SphM20SNpHtyDvi17SfxvxAP77l\nHDQEerOMXizDRqDunTSBhMiZNAoMx6Lm1N5cjwd7+KsKvGPzUHcf/vmhWg3s+vhiKi9pQ+NwEaPK\nZmPV6j8fAeaEBzPM+xlXP3M/F334sm6bpXlzusydizkzE7QQvv3DaJqsFytHLXqH977tz3/Xj+am\npO9123w3vEh4wHUxj2vYtRTne/o8F/4BDxM6o8reZPJkM/c/cCAR9htADaePZge8u60n71zrIbGu\n+heWTa9Xl4OtxxDo9kzMtkLBXhIHdqwuawZjlX+3VZ8ofOxYP9OmRb9Dzz1n4frr618Nc7wxVszC\nsfO66nLEdQ7eFp+euAGdJNx44+/MmBH9fv73v6dwxRVHlkOmPszyZGzy/dXloHQDAeOzx6z/OHHi\nnNzEBe84ceLEiRPnGLHTsIOZji/QaggqZtXMFZ7hpKpptdovCBoYUe5ArvGz6hQ05qZ46GCMJuNa\nvbqQgSP2EEk+lzb+JTy8+xzMWjSiS7TZOG3WLFxduhzV+BUC7HTeT8CgX8aeFBpEE/8/ayUUOxQR\nyyQiVn0kjaA0xez5BFE7WJQ6tpSKPiY5llAi6UXSDMXJOE8fErWGR3ttnjGDb8eNQ43oRams/v0Z\n9M47mF2uOvY8Ofhps4Gb37Gzr7z2GvhzO0R4+VofGYnH/3ZN02BesZHHt1rZ5Is9oZJqVBmfG2Rk\nZpA5XxTyn//sJC+v7mjGAQOSGT++OT17JvwpEfeaquLfuhXP2rX4t2zBt3kz/s2bCeTloUUaltzQ\nmJyMs3NnEnr2JPmcc3B26oQgHrlfgc+n0KLFYsLh6Ge5dm0v7rKlsiAUnWh4N8HLkl0G3tpjqdWH\nGAjSWV7LigtO1wnFGwtuI9EwhpXnnEO4KOqXHTEY+ejN13nn/AdIE+v3WQ4Idj5NGsLeXS6yr/ji\nsH29/8A0LAn7s82QWujHvZ72LOAc8olONLaTbVwQSqZnJITP/BXl5m91UcR1UUwqqziNIhqRSild\nWUkXVh0y4eWhUDWBokA6+wOZVIYTqQgnUBlJPPD/RNzhBCKaARENUVARRQVNE5A1I7IqVft3S6KM\nVQriMlaSaC4nwVhJsrmURtZCGlsKSLMUIYkNX5GgIPI77fiRM1lOTxx46cEKurAKB/Vb/Yiqg+Tw\neSSHLsSsZsZs45N+p9D6Pj6j3gpH2RnCd98ewtPLYu5XF4F2qeyadgnBDo3oENjGpRWzkeoT4w/w\nTeRchnhmMmzik1w2+UndNnNGBqd99RXW5s1BUynPv43c1Km6Ni+vu507v36Eq2bdxset9DkxIu3P\nxPvgF7GtK5QwrjfPQiqO/uYqaW1x37QIJCOVlQJdu7koKxOrhO439Lu/m+jlYmvDrjMnBapMwpen\nIgajgqe3z9tEmg+N2dw091PsD95cXZY798TzXu3cAeed5+XXX6P3UJ99ZqNfv9iTq38W5qLXsOX/\nu7ocSh2Fv9kLJ3BEJwejRq1n5szi6vJbb7Vj2LBjd39olidikx+pLgelcQSMjx+z/uPEiXNyExe8\n48SJEydOnGPIBtM6vrHP19U5VAfD3SNwarWF0Gl+E2Mr9XYMjUWVuSkecgxRoWL+/J1cdUcIknvR\nw/0F9+Rfqls6bkxNpcu8edhyc49q/LJQyQ7n3YSkPbr6lOAlZARuOiLRW0MjYn0C2fKBrl5QWmHx\nfIxwhEkxjxS3EOQ1x1LyDZW6+iTFyq3ePqSrDY8G3rNoEXNGjiRyUHRvcps2XDR1KglHGIn7Z1Ph\nE7jzIxszV9aOdk+0qTw3ws+lPf4cIUXR4NN9Jp7ebmFvMLbw3dSicEdOkMvTgsz9soiXXtrF1q3+\nOvvs0sXJ2LHNGDIkDaPxzze31VSVcHExofx8Qvv2IVdUILvdyJWVaIqCdiAppmS3Y3C5MCYlYWnW\nDEtWFqb09GMi1s+bV8KIEeuqy9nZFlauPJ2xlXY+DUSjHTOKVfYX1H6PzkiKcE3lFm5+o4RJE6Zz\na/vXdNv3hr5E3mrjtyFDUIPRSYiQxcrUyZN4t/+9pIj1C5YaAt87+rLY0IOM+xaSNunXI3uRBgHz\nP1Kx/SsTKVsfwblNa4VHPp8+gX60UPTXWA0Fr2EV5eYFuI1L0YRDn+sqAttpwe+cgg87yZTTng10\nYg1JxPab/6uhILKVVvxKN1bShQoSacU2OrKWVmzFgHLIPixyLimhi0gM90Ok9iSKhobPsJoiy7Ra\nQrdaJuN/ch/BVwshfGSPjKXXd2LvxPMQrCKD3Kvo6f/2sPabEhrBaM9bXPvU3Qz65HXdNmNaGl3m\nzMHWqhVoGuX77iY35V1dmwX5Axj4xUzafvAUqzu+pPPtVpMycD/1PVpibAHPOv9fWJbrj+m5bi5y\n814AjB9v4933zGAAvgBqBMj3NkWYnez9S1tAG/K/xbnoyuqyZnBQMWwTGGwx29sevR3zFx9WlwPX\n30Xwtn/p2ng8Gi1buqk537h2rZOmTU+sybl17/1YiqOWaP6Mhwg1vuMEjujkYOTIdcydG50cff/9\nDlx0Ue0AkYZikZ/DKj9dXQ5I4wkaHzxm/ceJE+fkJi54x4kTJ06cOMeYXyzLWWL9SVeXrKRwpecq\nLFptAWCi18wjHv0DXqaoMvsg0ft/b63lvpeTIeFUBpa9xpjCW3X7WHNy6DJvHqa0o3tYCAtF7HDd\nReSgCM3U4DAaB8YcoeitErbdi2KeqasX5c6YPe8hHGFSzCMlQIQ3HcvYZtT75zpUE2O9vWmuJDW4\n7+L165l91VV48/WexZaUFC788EMyTz+9wX3/GWgafLLMxH1TbXhDtT/TS7qFee4qPynOP+fWLaTC\nO3vMvLjDorPVqEmGWeXW7KqI7++/LubFF3exdm3dliKZmWZuvLEJ116bSWLiiY3w+7MZP34z7767\nr7p8ww1NePbZ1kxwW/mvr8Z1aD9Q46suCRoTWgT5Z04QSYDhV89lefu+rB1zJs2du6vbFVU2wZC6\nkOJZP7Lh+ut1xw5Y7Ux56w3+d9b9NBH3cSh2GZszPeki1EVlZI2ei2lX5SH30WEQsIxOxTohE6m5\nXvg2KRmkhC4mKXRuzCS8iuCl0riYStNivIY1IBxa1IUqAXw3WWyjBeUkYSJMMmW0ZDst2UZjDm2j\ncSJREfg/9s47PIqq7cP3zGyvCUlIAqFX6SAdBUGaioBYEQErvvbXXrBj7y9WrGAXRUGKAiqIiCio\ngDTpIUBII2V7mZnvj0CWYTcQSIDoN/d17QXnzDlnZnZndie/85zfk0MDNtOCtbRjG02IYqAx2bTi\nb5qzBQtVSxBpUJJJCvcnKTwQq5x40lVFpsz4CwWWz+NWEakBhcBreQQe24NaUrX3/wCyw0TOlLMo\nubQtydFixu1bSIpctYSozwTv5MHih7j57rH0/O4r7TklJdF59mwcbduCqlKSey9N6mhzOGwta0r3\nGcuR3/2CrW0fIyUUu9ZVyYjnoTnILbol3Ldxw2wc08dr6kKdxuAf8TIACxYYuGT0/knZsZQnq9yP\ngMriVA/tjUf3XtU27EuvxLRzZkU51HQM/p4vV9reNbwb0s6Yz7zntS+I9h6gaTNnToRx42KToU2b\niqxceXytrqqCfdtlmErnVZS9jd4iUuf8k3hEtYOLL17NwoWxidFPPmnPkCGpNTa+JfIYVvmFinLA\nMJGg4fYaG19HR6d2owveOjo6Ojo6NYyKyiLr96y2rNLU14vU53zvBRjQCm+qCveVWZni14rh9USF\nr1M8ND1I9J54/zJen9MG7E0Yk38vo4qe0vRxdulC51mzkOzVE5KD4k62Oe9EFrXCU2rwfDICVx+l\n6B0hbL8R2aT1NRUjvTF7pyAkiAKsScLITLWvYI1Jm7jOrBqY4O1Bq2jdYx7bl5fHnDFjyDvEy1g0\nmTjzf//jlIsvrqRn7WF7vsj179n5dWu8/3hdl8JLY/0M7Xjils2XReHVHRZey7bgkxNfZ6lGhRsa\nB7k8K8hvi/fxwgvZGq/qQ7HbJUaPzmDChCyaN08cPfhvIhJRaN/+F/LzY9Ybn33WgUGDUri7yMpb\n4YPuuQI4YFHd2CrzZnsfXZNiQlp2dim9Ll5C99sbsWhYf421yba8viQ3/JycN95my0Rt1Jzf7uTd\n197ktQEP01rSCpyJCAo2ZrsHsS7SjHp3LSJ1yp9Hf+ISmC6sg/X2DIxdHZpNgmrGHT6d5PAg7NH2\nCMRPqsiChzLjr5QZl+Ex/o4qVE3wrTgHzOymPrupTyEpCKhYCGLDTyZ7ySSXeuwhlcLDJnesSYpJ\nYhdZFa9cMijDjYxIPXJpRDaN2UEKR2cfIiluXJGeuMOn44h2rjTPQ0Qoptj8LfvM84iIBZptikcm\n+Ho+gRf2ouYd/XeM54yG5Lx1NuFmyXQJrGdY6QIMVbAwUVSBWwMv8m7eWO65cTin/PmzZrvB5aLj\njBm4Tj0VVJWyvIdolPSKps0eXyb95vzItg/W8nvWY3QKaX8DDufbLe7bhuvN/gihWEJexVWfsv8s\nQbUmU1gocNrpLvLzRcigPLr7IM12nDXES0mVr3D5JyCES3B/eQqCErvHPAPnEq3bK3H7/FySBret\nKKsGAyVLtoFNe5/ffLOfDz+MXUvXXmviySdPbsJKAOfGfhgCsRU3ZS2+QXb0OIlHVDsYNWoVixfH\n7KU+/7wDZ56ZUmPjWyP3Y5Fjqyj8hkcJGW48TA8dHZ1/E7rgraOjo6OjcxxQUJhrn80W02ZNfbNw\nc4b5hiMeIrYoKtxYauPTgDY6MXN/pPcB0VtRVMZd/h3z1vUFczo35Y7njNIPNH3qDBpE+48+qnYC\nxYC0je2Ou5FFj6Y+LXgR6YErjlL0DhJyXIliXKGpFyN9MXtfQ+D4JpSSUfjUtopfzNqkaAZVZLyv\nK50j9Y957GggwMIbbmDzzJlx27rdfjs97733mDyYTySyAq8uNPPELCvhaPznOrpXiMcuCpBsP3GP\ncQUhgee3W5iaYyasJr7WkgwK1zYKMaFBkPUripk8eacmWiwRffsmMX58fc45JxWTqXZ/LsfKvHkF\nXHbZ2oqywyGxen0f3syz82yRBaXBQe9nKbATLs4M8fQpflwJvjbee+8vbp9v5In/fs29nbSTbJvy\nryWt4ZNkT57MtkMSukaMJt578hXuvPBTzjRqJ7wq429zC2a7hxD9tYwG13971N7eBzD0c2K9LQPT\nOUkIkvb6McmZJIUHkhw+E5OSOEGaQhCvcTVewyq8xj8JSTuO6TgAokgUkso+6lBECiW4kZEqXkYi\nmAlhIYgdP048GIkgosS9BFRUBIJYCGIhhBkvDspwEsJMFANBLEQxICHjpowUikilkAz2Uocje5dX\nhkmujzPSHXekN7Zom0pF7nLLmFUUmxdSZlyKelAyZyi3LglM3ktwch5q8dFHKctuM7ufO5N9V3XE\npvg5v/QnWhwiOFeGX7Uy3jeNH7O7M/Has2iwbYNmu7lePTpMn46jTZtysTv/SRq5n9O0yfPX5Yy5\ni9k4u5C54v2cLSzRbA/1H4t/wv8SH0AkgPOdIRjyYvenKhrxXDEXOasrqgpjx9qZ940JJOAdoGus\nu1NQWZlWSpr0z/6T2rT5PewrYpG2sqMxZef+ntjrHDB+MwPHvddUlKMduuJ5f4GmjaqqtG3rYe/e\n2HtTG/y7AdxrmiLKMeujkrZrUU2Jve3/PzF8+J8sXRp7X2bO7ETfvse+8u5QrJE7scjvVJT9hmcI\nGa6usfF1dHRqN7rgraOjo6Ojc5yIEuVLxxfsNu7S1HcIdWSAf2CcYCyrcHOpjU+OIHoHg1GGn7+Q\nlQVnYzDYuDdnGJ18Wr/SzLFjafXSS9X2Ag5IW/eL3lrbiLTAxaQHLz9K0dtD0DkW1bBOUy+G+2P2\nvYJAvJ90TaKi8rV1HQst2kkIQYWL/J04Pdykkp5VGFtR+PXpp/nt2WfjtjUfPpxBr72G0Vb7I4s3\n7BG5/l07q3fGq57pLoXnxvg5p/OJTZKWGxR4Jbtc+A4oia83h6Ryaf0QExqGiO7yMGXKLj79dC+B\nQOUJ+9LSjFx6aSbjx9ejceOTHwFYk5x33ip+/DEmbA6+tTXb+rdii18CG9As1tYQUJnq8HF23co/\nV1VVGXn+1/zSegDfXTOWfplagW/zvmdIrXc1O557ju1PPBHX//07n2HQdTu4wfJa3LZEhAULC5x9\nWWnqRJ3X/yTzgSVIZUcXbX0AsYEJ85WpWK5KQ2oQP7FmjbbAFT4Nd+Q0zErlE18RoQivcTU+w5/4\nDOsJS7srbVsdFAT82AhgJYCVKIYKuRtARMFAFBEFE+H9snewyvYjR4NBScIe7Ygj0gVHpDMmtfLV\nMCoqQWkbJabvKTEtJprAvz36p4/Aq/mEPi6Cw9ybh6NkVCt2vTIEOcNOV/9fDPX8iFH1HLkjsElu\nwQW+L5AW7+G/d4/BWao9Rnvr1nSYPh1LVhaoMkW776d56hRNm8JgCv3nLGLtN36mld3HOId2Iifa\n/FQ8D84BY+JJXNvXt2D+UztJ7R/6FKEeEwD44EMTt9yyf4XWdcAN2v5Puvxca6/5z/pE45w/GENR\nzLM/0P4egu3vqrS9/Y7xmL6bXVEOXnELgVse0rRZvVqmf//Ys4rdDlu2uDCbT7LRuewheU2jiqIq\nGCnpmAvCv3PC9WgYOvR3fvutrKI8d25nevWqufwutshNmOWPKso+w/8IG8bW2Pg6Ojq1G13w1tHR\n0dHROY4EhSDTnZ9QJGk9pHsH+tAjGL9093Ci99cpHprtF709njBDRyxig38EFqJMyu5L05DWQqXx\n3XfT5O67qS4BaTPbHPeixIneo0kPjjs60VsoKhe9Ja3oLIUHYfL9D4HjH4n1vXkzX9nWxtWfEziF\nocFWR3U+h7Lx88/5/uabkUNaQaJu584M+/BDHJmZxzz2iSIShefnWXh+ngU5gcB8XtcwT4/2k3qC\nvL0PUBgWeD3bzFs7LXgrsToRUBmaFuE/jUK0UQN88MEe3nprF7m54YTtD3DGGcmMHp3B2WenYbcn\njlr9p7B8eQlnn73fDsRthsvaw+kNYw2MQOtYMUVQ2JxxZM/svXt9nD58HsK4c1h5cW+NnzdAtvd1\nXKkXJ4z0Bph/0bUoD3ZicvKtWIVg3PZE7DGk861rIDllqWQ89jMpr/+BGDk2oRQRjEPdWK5MK4/6\ntsSLTZZoE1yR3jgjXbHKLSuNYIZy+xO/tImA4W/80t/4DRvjLKD+SQiqAbPcCFv0FGzyKdijbTAq\nGYf9PlRR8Esb8ZiWU2ZcRkjaFd8moBD6ch/BV/OJ/lK53/6RCLZOYc+zAygb1oK6kXwuKFlERnTr\nkTvu54vw+Vxd9iZnvfYS5095DFHVfn+5e/em/UcfYXS7QfVTsvs/NEmdo2lTHEpiwNwfWDUnxCul\nk7jBNU+zXamTSdmjC1BTEk+cmFZ9jH2W1k4h3GYEvgveBUFg+3aRvv1c+HwCdAamwsGX4ABzhOnJ\nXsR/cKJKALFsM+45WjuP0uGrUBwNE7YXCvNwD22PEI2tFPC8O5doF+0z1HPPBXniidhv79lnG/jw\nw+ObJ6QqiIH1uDeeVlGWTY0pa1u1FQn/dgYOXMkff8QmrBYs6ELXru4aG98WnoBZ+aKi7DNOISxd\nWGPj6+jo1G50wVtHR0dHR+c44xE8fOr6GO8h1iCDfENoF24f176qondxcZCB5y5juzycJLmQJ7N7\nUTeitexo9dJL1Bs3rtrnUJnoXTcwhvTg0UXLqEIhQecYVGmbpl4Kn4XJ9wIC1bNiqQq/mnbyke0P\nFEH7WHJ6sAkXBDogJfD3rSq5v/3GnLFjCRRo/WrtGRmcPXUqmd27H/PYJ5I/d0jcMNXOxj3xol+K\nQ+GpS/yM6hapbAX6caMkIjBlp5kp2WZKopV/Tu2cUf7TMMS5KUHmzyng7bd3aSLJEuFwSJx7bhqX\nXJJBnz5JiP8wZUmWVc466w9W/umBIc1gVGtwJFg50U7VWAfszijGWoVTXbZsN8NvW037G0/h5xGn\nYzfGfIRlRSTHPxV36jD2fv45G2+8ETWijRrf1KEHs/83iXea31QlX+8D/GU5he+d/fBmC2ROXEzy\nZxuO3OkwCE4R03nJmC9JwTjQhWCMv45ExYEj2gln5FQcka6Y1MMnA1ZRiQrFhKQcQtJOguLOiv8n\ninY+aagiJiUTs1wfs5KFRW6KRW6KWW6AWIUJx6hQhs+wGo/xDzzG5UTFeIsUVVGJLPEQ+rCI8Of7\nUMuOPbliNNXK3odPp3BCZyxSmDM9K+jm/wWRqo0ZUQ3cFXiGd3PHcMvdl9Fp2cK4NmnDh3PKG28g\nWSygFOLLHUNWitZ+qyzsZOC871gxM8pzvhe43TFDs11xpeJ5cA5K/ZYJj8OwbTGOjy9BkGOTb3JK\nc8qu+Q7MLsJhOHe4kxUrDOACvgAOcrxIExV+Si2j7j/cygTAsmoS1vUvVpQjdfvgHTi70vbmd1/C\nNvnRirLcpAVlXy6Psz8ZPNjLypWx6+LFF62MH398V45VBUPpApzbLqkoRxyn420x6zA9/v/Qr98K\n/vor9ly5aFFXOnasuSSj9vA4TEps4sprnEpEGl5j4+vo6NRudMFbR0dHR0fnBFAoFjLd+QkhMRZ9\nJKgCw30jaRppFte+qqJ3fr6fM879k73S2dQPb+Lx7D445Zi4IkgS7T76iNTBg6t9Dn7pb7Y77kMR\nfZr6uoGxpAfHHNVYqpC/X/TeoamXQudi8j972MjKmuIvYy7v2n8jImgjRttG0rnS2x1zNYT3sp07\nmT16NEUbtMKcaDRyxrPP0q4GJiFOBKEIvPCNhRfnWYgmiPYe3D7Ms5cGaJByjFG31aAsCu/mmJmS\nbSEvXLnwnWZSGFM/xJh6YULZZUyduofPPtuLx3N4wSwry8yoUekMH55G587OatsDnQhefmUnD80O\nwKXtINORsM3lWSG+SzGwS4ndY0tSy2hnrJqA+Nprf3L/rACD/2Ng9uBzMUkxUTsSNbAn+Aau1FHs\n+/FH1o4di+zVTpKVJqfyzqRXGXfOd0wwv1Xlc5MR+cPWgcWO04ms9ZP++M8kfbERoZp/WQgpBkzn\nJWMaloTpTBeCI/F3j0nOLI9+jrbFJp+CRW5U5e8pGR8RsYiIWLj/VUD0wP+FYhTBjyL4kQU/qnD4\n1QiHQ1RtGBQ3kurCoLgxqEkYlbSKl0mpi0nJPKpJxajgwS9twG9ci9fwJwFpC4nedFVRia7wEf6y\nmNAnRSg5x34eAIrFQMFNXcm/rzeC20Av3x+c4f0Fo+o7cuf9bJJbcLlvKp5lIW6+dywpeYfY0Igi\nTR94gIY33YQgiqjRLUSLLqGuWzsZu8tbn3Pmz2XNLA+PB9/gPvtHmu2K3Y33gdnIjdolPA5p9+84\np41EiMSOXTVYKbt6IUp6G1QVbrrZxscf7/+9fx4Yoh1jerKHgRatF/o/EkXG/XVHRP+eiipfz1cI\nN720kvYKrhHdkHK2V1T5b3+M0NjrNc0KCxVatfJwcOD+2rVO6tU7+bYh5oJ3sO26s6IcqjMaf6NX\nT+IR1R569/6NjRtj98XSpd1o0ybxb9ex4AhfhFH5rqLsMX5KVKr+87COjs4/A13w1tHR0dHROUHs\nlnYxw/kF8kEJvAyqgQs8F5EpxycvklW4pdTGxwlE71kpHprvF7137fLQb8Qmii0DaeVfxkM7z8Ss\nxiwDRJuNzrNm4Tr11Gqfg1/6m+3Oe1EEv6Y+PTCOusFK/mCtBEXIJeQcgyrlaOql0HmY/E8hVCPK\nuqpslQp5w7E1qFTAAAAgAElEQVScgKiNRM2KuvmPtxdJ6rF7O4fKyph/zTXsWBgfUdj+iivo++ST\nSKaTH31WFdbmSNw41caanHihzG5WuXd4gAkDQhhOghtIWIGv9pp4PdvMGs/hhbw+yRHG1g8zwBHg\n26/zmTp1t2Y5dWU0bGhh+PA0RoyoS5cutVP8fvUHPw+sNUPr1ITb2zqiPN/GT/ckmYv3OVgYikXz\nTknycaG1agKlqqrcc8+PvJWdwagxe5h+5kVIYmzCQ1EEdpQ9TXLG1XjXr2ft2LEEtm+PG+ebS65n\n770DmZJyA/XE3CqfZxQjv9k7sczeg9DfIdKfWEbyJ+sRlBr4E8MkYOzvwnSOG9M5SUhNLZU2FVUb\ntmhrrNHmWOQmWOQmmJWsaq9QUYkiCwEUwYcs+AEZFQVQ9qerlMpfqoSAEVG1lr8wV3uiUCFIUNpB\nQNpKwLARv2FDQpuSimMNKUQWlxGeWUJ4VjFKbvX9/WWbkaLrupB/Rw/kdBsdA2sZ4lmGXal6lLyi\nCrwYupXHC+/igucfYehnr8e1MdWtS5u33yb5tHKrCV/p9zij1+K2a/ezpqg9Z8+fx+65W3mZ17jR\nNF2zXTXb8Uz8ErlFt4THIhb8jfO9cxAD2nF9500h3KHcWuHFFy1Memz/b835wCPaMa63B3nMFajq\n6ddqDLmLcC46v6KsSjZKRm0AY+KoXsOvP+K89rxYe6OJ0oXrUZPqaNp99lmY666LvUft24v8+GPN\nRQpXB1v2DZj3fVJRDmTcQzCzcr/y/09067acrVtjn9uvv/agRYuay3fiCI/AqPxUUfYYvyIq9aux\n8XV0dGo3uuCto6Ojo6NzAtli3Mwc+9eoB0XIWRQrF3tGU0epE9de2R/pfSTRe/v2EvqNysFr60t3\nz0zu2HU+EjERypCcTOfZs3G0aVPtc/BLG9junJhA9L6cusFLKumVGEXcTcgxBvWQBHBS6CJM/kkn\nRPTeI5bxumMZxZJWUEhSrFzn6UV95dj9JBVZ5pdJk/h98uS4bZk9enD21KnY09OPefwTSSQKryy0\n8PRsC+Fo/KNgx4ZRXhrrp2OjY7cvqA6qCstLDLyebWZevhHlMI+rLoPCBRlhLssKY8wp5bPP9vL5\n53nk5R1Z9M3MNDFoUApDhqTSt2/ySff8/qXYwD0rJf5SE4sEToPKXU0DXNswhGH/7fRwmZXJvpiY\ne6s9wAOuqvlqA8iywpVXfctspRXjLl3He/2uQDwk6vfvgjupm3U3kdIy1l97LfsSTPzsadSCbyff\nxYS+XzE8MC9u+2GPAYlV1nYsdfTEkyOR+urvpLy9Cqm05hL6iY1NGPu5MPZzYuznRGxiPuxkh6Aa\nMcsNsMiNMcuNMCkZ+1/pSKq7WvkBahJZ8BISdxOSdhEW9xCSdhKQthEW9ySM3j6AqqjIa/yEF5YR\n+a6UyE/eY04+GXdMThOFN3Yl/9ZukGqhQ2AtAzy/41b2HtU4m+QWXOF7D8/PQa5/4Crq7smOa+Pu\n3Zu2b7+NOSMD1Cj79jxFs5QX4tot3DWQCxZ8hmfGj3yaOoWLxPma7arRjPeuz4i265vwWITSXbje\nHYpYtkdT7x/8GKFe5RHKM2cZufLK/RGtXYE34eD8zR0MUeanejjZeRdrCvuPYzDt/qaiHGpyCf5e\nlSeztd91JaYFM2Ptz7oA/5NvxrW76io/X30Vm3C5/XYzEydWPmF1wlBV3GvbIEbzKqo8zWcRdZ5+\nEg+q9tCp0y/s3Bn77fnjj541mkTaGRqCQY3ZE5WZ5iGLPWtsfB0dndqNLnjr6Ojo6OicYFabVvGD\n/TtNnUt2cbHnUhxq/FLOykTvjP32JgdE740bizjz4r0EHKcxpPh1JuzVLvk11a1L5zlzsDVvXu1z\n8Enr2eGciCJoReIM/5WkhS46qrEUMYeQ81JUUStsGIKXYgw8fEJEolIhyBuOX8gxlGjqLaqBq7zd\nOSVaPVF605df8t3NNxP1aycJ7JmZnDNtGhldu1Zr/BPJ37kit35gY/mWeL9fUVD5z8AQd58bwHkS\ntYZsv8hbOWY+2G3Gk0CcP5gWNpnhGWGGpYYoWFnI9Ol5zJ1bQKAKQp7ZLNKnTxL9+iXTt28y7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1KbX8VaP70NHRqd3ogreOjo6Ojk4tZZthK7Mds1CEmNghqAJDfWfTOnJKwj6KChPL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02T/v0T3r8kSeXDpk0Or70WZeJEg0ik4HM0DQYMcPPAAx7q1y+efQuKgxZcTGDLrWiRNXEx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\ncgsWU+lOSB+LqfVJcHRCCCGOhiS8hRBCCCFEjbR2i8ppV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"text": [ "" ] } ], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The object returned by `interactive` is a `Widget` object and it has attributes that contain the current result and arguments:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "t, x_t = w.result" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "w.kwargs" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 8, "text": [ "{u'N': 25,\n", " u'angle': 180.0,\n", " u'beta': 2.6666666666666665,\n", " u'max_time': 4.0,\n", " u'rho': 25.0,\n", " u'sigma': 25.0}" ] } ], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "After interacting with the system, we can take the result and perform further computations. In this case, we compute the average positions in $x$, $y$ and $z$." ] }, { "cell_type": "code", "collapsed": false, "input": [ "xyz_avg = x_t.mean(axis=1)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "xyz_avg.shape" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 10, "text": [ "(25, 3)" ] } ], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Creating histograms of the average positions (across different trajectories) show that on average the trajectories swirl about the attractors." ] }, { "cell_type": "code", "collapsed": false, "input": [ "plt.hist(xyz_avg[:,0])\n", "plt.title('Average $x(t)$')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 11, "text": [ "" ] }, { "metadata": { "png": { "height": 391, "width": 586 } }, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "plt.hist(xyz_avg[:,1])\n", "plt.title('Average $y(t)$')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 12, "text": [ "" ] }, { "metadata": { "png": { "height": 391, "width": 586 } }, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 12 } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Nonblocking Console.ipynb0000644000076500000000000001644612466235755026053 0ustar minrkwheel00000000000000{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "# Console related imports.\n", "from subprocess import Popen, PIPE\n", "import fcntl\n", "import os\n", "from IPython.utils.py3compat import bytes_to_str, string_types\n", "\n", "# Widget related imports.\n", "from IPython.html import widgets\n", "from IPython.display import display" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Define function to run a process without blocking the input." ] }, { "cell_type": "code", "collapsed": false, "input": [ "def read_process(process, append_output):\n", " \"\"\" Try to read the stdout and stderr of a process and render it using \n", " the append_output method provided\n", " \n", " Parameters\n", " ----------\n", " process: Popen handle\n", " append_output: method handle\n", " Callback to render output. Signature of\n", " append_output(output, [prefix=])\"\"\"\n", " \n", " try:\n", " stdout = process.stdout.read()\n", " if stdout is not None and len(stdout) > 0:\n", " append_output(stdout, prefix=' ')\n", " except:\n", " pass\n", " \n", " try:\n", " stderr = process.stderr.read()\n", " if stderr is not None and len(stderr) > 0:\n", " append_output(stderr, prefix='ERR ')\n", " except:\n", " pass\n", "\n", "\n", "def set_pipe_nonblocking(pipe):\n", " \"\"\"Set a pipe as non-blocking\"\"\"\n", " fl = fcntl.fcntl(pipe, fcntl.F_GETFL)\n", " fcntl.fcntl(pipe, fcntl.F_SETFL, fl | os.O_NONBLOCK)\n", "\n", "\n", "kernel = get_ipython().kernel\n", "def run_command(command, append_output, has_user_exited=None):\n", " \"\"\"Run a command asyncronously\n", " \n", " Parameters\n", " ----------\n", " command: str\n", " Shell command to launch a process with.\n", " append_output: method handle\n", " Callback to render output. Signature of\n", " append_output(output, [prefix=])\n", " has_user_exited: method handle\n", " Check to see if the user wants to stop the command.\n", " Must return a boolean.\"\"\"\n", " \n", " # Echo input.\n", " append_output(command, prefix='>>> ')\n", " \n", " # Create the process. Make sure the pipes are set as non-blocking.\n", " process = Popen(command, shell=True, stdout=PIPE, stderr=PIPE)\n", " set_pipe_nonblocking(process.stdout)\n", " set_pipe_nonblocking(process.stderr)\n", " \n", " # Only continue to read from the command \n", " while (has_user_exited is None or not has_user_exited()) and process.poll() is None:\n", " read_process(process, append_output)\n", " kernel.do_one_iteration() # Run IPython iteration. This is the code that\n", " # makes this operation non-blocking. This will\n", " # allow widget messages and callbacks to be \n", " # processed.\n", " \n", " # If the process is still running, the user must have exited.\n", " if process.poll() is None:\n", " process.kill()\n", " else:\n", " read_process(process, append_output) # Read remainer\n", " \n", " \n", " \n", " " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create the console widgets without displaying them." ] }, { "cell_type": "code", "collapsed": false, "input": [ "console_container = widgets.ContainerWidget(visible=False)\n", "console_container.set_css('padding', '10px')\n", "\n", "console_style = {\n", " 'font-family': 'monospace',\n", " 'color': '#AAAAAA',\n", " 'background': 'black',\n", " 'width': '800px',\n", "}\n", "\n", "output_box = widgets.TextareaWidget()\n", "output_box.set_css(console_style)\n", "output_box.set_css('height', '400px')\n", "\n", "input_box = widgets.TextWidget()\n", "input_box.set_css(console_style)\n", "\n", "console_container.children = [output_box, input_box]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Hook the process execution methods up to our console widgets." ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "def append_output(output, prefix):\n", " if isinstance(output, string_types):\n", " output_str = output\n", " else:\n", " output_str = bytes_to_str(output)\n", " output_lines = output_str.split('\\n')\n", " formatted_output = '\\n'.join([prefix + line for line in output_lines if len(line) > 0]) + '\\n'\n", " output_box.value += formatted_output\n", " output_box.scroll_to_bottom()\n", " \n", "def has_user_exited():\n", " return not console_container.visible\n", "\n", "def handle_input(sender):\n", " sender.disabled = True\n", " try:\n", " command = sender.value\n", " sender.value = ''\n", " run_command(command, append_output=append_output, has_user_exited=has_user_exited)\n", " finally:\n", " sender.disabled = False\n", " \n", "input_box.on_submit(handle_input)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create the button that will be used to display and hide the console. Display both the console container and the new button used to toggle it." ] }, { "cell_type": "code", "collapsed": false, "input": [ "toggle_button = widgets.ButtonWidget(description=\"Start Console\")\n", "def toggle_console(sender):\n", " console_container.visible = not console_container.visible\n", " if console_container.visible:\n", " toggle_button.description=\"Stop Console\"\n", " input_box.disabled = False\n", " else:\n", " toggle_button.description=\"Start Console\"\n", "toggle_button.on_click(toggle_console)\n", "\n", "display(toggle_button)\n", "display(console_container)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Using Interact.ipynb0000644000076500000000000001012212466235755025025 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:3f30c6e839ac39f890da34a2af6bf50bf0d99ea32f7aadc043f3e31f619e4bc9" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Interact" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `interact` function provides a high-level interface for creating user interface controls to use in exploring code and data interactively." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html.widgets import interact, interactive, fixed\n", "from IPython.html import widgets\n", "from IPython.display import clear_output, display, HTML" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Basic interact" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here is a simple function that displays its arguments as an HTML table:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def show_args(**kwargs):\n", " s = '

    Arguments:

    \\n'\n", " for k,v in kwargs.items():\n", " s += '\\n'.format(k,v)\n", " s += '
    {0}{1}
    '\n", " display(HTML(s))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "show_args(a=10, b='Hi There', c=True)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "

    Arguments:

    \n", "\n", "\n", "\n", "
    a10
    cTrue
    bHi There
    " ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's use this function to explore how `interact` works." ] }, { "cell_type": "code", "collapsed": false, "input": [ "i = interact(show_args,\n", " Temp=(0,10),\n", " Current=(0.,10.,0.01),\n", " z=True,\n", " Text=u'Type here!',\n", " #Algorithm=['This','That','Other'],\n", " a=widgets.FloatSliderWidget(min=-10.0, max=10.0, step=0.1, value=5.0, description=\"Float (a)\")\n", " )" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "

    Arguments:

    \n", "\n", "\n", "\n", "\n", "\n", "
    Current4.99
    TextType here!
    zTrue
    Temp5
    Float (a)5.0
    " ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "i.widget" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "

    Arguments:

    \n", "\n", "\n", "\n", "\n", "\n", "
    Current4.99
    TextType here!
    zTrue
    Temp5
    Float (a)5.0
    " ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 5 } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Variable Inspector.ipynb0000644000076500000000000001327212466235755025673 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:7b872a09743460a3ce0358e9010c3b4baf5136b79a2a075964dea2c2fd85c82e" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Variable Inspector Widget" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "A short example implementation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook demonstrates how one can use the widgets already built-in to IPython to create a working variable inspector much like the ones seen in popular commercial scientific computing environments." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html import widgets # Loads the Widget framework.\n", "from IPython.core.magics.namespace import NamespaceMagics # Used to query namespace.\n", "\n", "# For this example, hide these names, just to avoid polluting the namespace further\n", "get_ipython().user_ns_hidden['widgets'] = widgets\n", "get_ipython().user_ns_hidden['NamespaceMagics'] = NamespaceMagics" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "class VariableInspectorWindow(object):\n", " instance = None\n", " \n", " def __init__(self, ipython):\n", " \"\"\"Public constructor.\"\"\"\n", " if VariableInspectorWindow.instance is not None:\n", " raise Exception(\"\"\"Only one instance of the Variable Inspector can exist at a \n", " time. Call close() on the active instance before creating a new instance.\n", " If you have lost the handle to the active instance, you can re-obtain it\n", " via `VariableInspectorWindow.instance`.\"\"\")\n", " \n", " VariableInspectorWindow.instance = self\n", " self.closed = False\n", " self.namespace = NamespaceMagics()\n", " self.namespace.shell = ipython.kernel.shell\n", " \n", " self._popout = widgets.PopupWidget()\n", " self._popout.description = \"Variable Inspector\"\n", " self._popout.button_text = self._popout.description\n", "\n", " self._modal_body = widgets.ContainerWidget()\n", " self._modal_body.set_css('overflow-y', 'scroll')\n", "\n", " self._modal_body_label = widgets.HTMLWidget(value = 'Not hooked')\n", " self._modal_body.children = [self._modal_body_label]\n", "\n", " self._popout.children = [\n", " self._modal_body, \n", " ]\n", " \n", " self._ipython = ipython\n", " self._ipython.register_post_execute(self._fill)\n", "\n", " def close(self):\n", " \"\"\"Close and remove hooks.\"\"\"\n", " if not self.closed:\n", " del self._ipython._post_execute[self._fill]\n", " self._popout.close()\n", " self.closed = True\n", " VariableInspectorWindow.instance = None\n", "\n", " def _fill(self):\n", " \"\"\"Fill self with variable information.\"\"\"\n", " values = self.namespace.who_ls()\n", " self._modal_body_label.value = '
    NameTypeValue
    ' + \\\n", " '
    '.join(['{0}{1}{2}'.format(v, type(eval(v)).__name__, str(eval(v))) for v in values]) + \\\n", " '
    '\n", "\n", " def _ipython_display_(self):\n", " \"\"\"Called when display() or pyout is used to display the Variable \n", " Inspector.\"\"\"\n", " self._popout._ipython_display_()\n", " self._popout.add_class('vbox')\n", " self._modal_body.add_class('box-flex1')\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "inspector = VariableInspectorWindow(get_ipython())\n", "inspector" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Test" ] }, { "cell_type": "code", "collapsed": false, "input": [ "a = 5" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "b = 3.0" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ "c = a * b" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "d = \"String\"" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "del b" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 8 } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Widget Alignment.ipynb0000644000076500000000000002472712466235755025350 0ustar minrkwheel00000000000000{ "metadata": { "cell_tags": [ [ "", null ] ], "name": "", "signature": "sha256:19f2a57c9ac75d472a9e403515009613fac3fbc733219f7fd4f39a0616ca619f" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html import widgets # Widget definitions\n", "from IPython.display import display # Used to display widgets in the notebook" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Alignment" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Most widgets have a `description` attribute, which allows a label for the widget to be defined.\n", "The label of the widget has a fixed minimum width.\n", "The text of the label is always right aligned and the widget is left aligned:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display(widgets.TextWidget(description=\"a:\"))\n", "display(widgets.TextWidget(description=\"aa:\"))\n", "display(widgets.TextWidget(description=\"aaa:\"))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "If a label is longer than the minimum width, the widget is shifted to the right:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display(widgets.TextWidget(description=\"a:\"))\n", "display(widgets.TextWidget(description=\"aa:\"))\n", "display(widgets.TextWidget(description=\"aaa:\"))\n", "display(widgets.TextWidget(description=\"aaaaaaaaaaaaaaaaaa:\"))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "If a `description` is not set for the widget, the label is not displayed:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display(widgets.TextWidget(description=\"a:\"))\n", "display(widgets.TextWidget(description=\"aa:\"))\n", "display(widgets.TextWidget(description=\"aaa:\"))\n", "display(widgets.TextWidget())" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Custom Alignment" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`ContainerWidget`s allow for custom alignment of widgets.\n", "The `hbox` and `vbox` CSS classes cause the `ContainerWidget` to horizontally or vertically align its children." ] }, { "cell_type": "code", "collapsed": false, "input": [ "child_style = {\n", " 'background': '#77CC77',\n", " 'padding': '25px',\n", " 'margin': '5px',\n", " 'font-size': 'xx-large',\n", " 'color': 'white',\n", "}\n", "\n", "def make_container(title):\n", " header = widgets.LatexWidget(value=title) \n", " display(header)\n", " header.set_css({\n", " 'font-size': '30pt',\n", " 'margin-top': '40pt',\n", " 'margin-bottom': '20pt',\n", " })\n", " \n", " container = widgets.ContainerWidget()\n", " container.set_css({\n", " 'background': '#999999',\n", " 'width': '100%',\n", " })\n", " display(container)\n", " return container\n", "\n", "def fill_container(container):\n", " components = []\n", " for i in range(3):\n", " components.append(widgets.LatexWidget(value=\"ABC\"[i]))\n", " components[i].set_css(child_style)\n", " container.children = components\n", " \n", "container = make_container('VBox')\n", "container.add_class('vbox')\n", "fill_container(container)\n", "\n", "container = make_container('HBox')\n", "container.remove_class('vbox')\n", "container.add_class('hbox')\n", "fill_container(container)\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `start`, `center`, and `end` classes adjust the alignment of the widgets on the axis where they are being rendered.\n", "Below is an example of the different alignments." ] }, { "cell_type": "code", "collapsed": false, "input": [ "container = make_container('HBox Pack Start')\n", "container.remove_class('vbox')\n", "container.add_class('hbox')\n", "container.add_class('start')\n", "fill_container(container)\n", " \n", "container = make_container('HBox Pack Center')\n", "container.remove_class('vbox')\n", "container.add_class('hbox')\n", "container.add_class('center')\n", "fill_container(container)\n", " \n", "container = make_container('HBox Pack End')\n", "container.remove_class('vbox')\n", "container.add_class('hbox')\n", "container.add_class('end')\n", "fill_container(container)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `box-flex0`, `box-flex1`, and `box-flex2` DOM classes modify the container's flexibility. Changing a container flexibility affects how and if the container will occupy the remaining space. Applying `box-flex0` has the same result as not applying flex. Below is an example of different flex configurations. The number on the boxes correspond to the applied flex." ] }, { "cell_type": "code", "collapsed": false, "input": [ "def fill_container(container, flexes):\n", " components = []\n", " for i in range(len(flexes)):\n", " components.append(widgets.ContainerWidget())\n", " components[i].set_css(child_style)\n", " \n", " label = widgets.LatexWidget(value=str(flexes[i]))\n", " components[i].children = [label]\n", " container.children = components\n", " \n", " for i in range(len(flexes)):\n", " if flexes[i] == 0:\n", " components[i].add_class('box-flex0')\n", " elif flexes[i] == 1:\n", " components[i].add_class('box-flex1')\n", " elif flexes[i] == 2:\n", " components[i].add_class('box-flex2')\n", " \n", "container = make_container('Different Flex Configurations')\n", "container.remove_class('vbox')\n", "container.add_class('hbox')\n", "fill_container(container, [0, 0, 0])\n", " \n", "container = make_container('')\n", "container.remove_class('vbox')\n", "container.add_class('hbox')\n", "fill_container(container, [0, 0, 1])\n", " \n", "container = make_container('')\n", "container.remove_class('vbox')\n", "container.add_class('hbox')\n", "fill_container(container, [0, 1, 1])\n", " \n", "container = make_container('')\n", "container.remove_class('vbox')\n", "container.add_class('hbox')\n", "fill_container(container, [0, 2, 2])\n", " \n", "container = make_container('')\n", "container.remove_class('vbox')\n", "container.add_class('hbox')\n", "fill_container(container, [0, 1, 2])\n", " \n", "container = make_container('')\n", "container.remove_class('vbox')\n", "container.add_class('hbox')\n", "fill_container(container, [1, 1, 2])" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `align_start`, `align_center`, and `align_end` DOM classes adjust the alignment of the widgets on the axis perpindicular to the one that they are being rendered on. Below is an example of the different alignments." ] }, { "cell_type": "code", "collapsed": false, "input": [ "def fill_container(container):\n", " components = []\n", " for i in range(3):\n", " components.append(widgets.LatexWidget(parent=container, value=\"ABC\"[i]))\n", " components[i].set_css(child_style)\n", " components[i].set_css('height', str((i+1) * 50) + 'px')\n", " container.children = components\n", "\n", "container = make_container('HBox Align Start')\n", "container.remove_class('vbox')\n", "container.add_class(\"hbox\")\n", "container.add_class(\"align-start\")\n", "fill_container(container)\n", " \n", "container = make_container('HBox Align Center')\n", "container.remove_class('vbox')\n", "container.add_class(\"hbox\")\n", "container.add_class(\"align-center\")\n", "fill_container(container)\n", " \n", "container = make_container('HBox Align End')\n", "container.remove_class('vbox')\n", "container.add_class(\"hbox\")\n", "container.add_class(\"align-end\")\n", "fill_container(container)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "By default the widget area is a `vbox`; however, there are many uses for a `hbox`. The example below uses a `hbox` to display a set of vertical sliders, like an equalizer." ] }, { "cell_type": "code", "collapsed": false, "input": [ "container = widgets.ContainerWidget()\n", "container.children=[widgets.FloatSliderWidget(orientation='vertical', description=str(i+1), value=50.0) \n", " for i in range(15)]\n", "display(container)\n", "container.remove_class('vbox')\n", "container.add_class('hbox')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 9 } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Widget Basics.ipynb0000644000076500000000000001760712466235755024635 0ustar minrkwheel00000000000000{ "metadata": { "cell_tags": [ [ "", null ] ], "name": "", "signature": "sha256:9a70b52f0b16861d1cd6a8342b233247958977a52bde8d3efd69d21131ce1926" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "To use IPython widgets in the notebook, the widget namespace needs to be imported." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html import widgets # Widget definitions\n", "from IPython.display import display # Used to display widgets in the notebook" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Basic Widgets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython comes with basic widgets that represent common interactive controls. These widgets are\n", "\n", "- CheckboxWidget\n", "- ToggleButtonWidget\n", "- FloatSliderWidget\n", "- BoundedFloatTextWidget\n", "- FloatProgressWidget\n", "- FloatTextWidget\n", "- ImageWidget\n", "- IntSliderWidget\n", "- BoundedIntTextWidget\n", "- IntProgressWidget\n", "- IntTextWidget\n", "- ToggleButtonsWidget\n", "- RadioButtonsWidget\n", "- DropdownWidget\n", "- SelectWidget\n", "- HTMLWidget\n", "- LatexWidget\n", "- TextareaWidget\n", "- TextWidget\n", "- ButtonWidget\n", "\n", "A few special widgets are also included, that can be used to capture events and change how other widgets are displayed. These widgets are\n", "\n", "- ContainerWidget\n", "- PopupWidget\n", "- AccordionWidget\n", "- TabWidget\n", "\n", "To see the complete list of widgets, one can execute the following" ] }, { "cell_type": "code", "collapsed": false, "input": [ "[widget for widget in dir(widgets) if widget.endswith('Widget')]" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 2, "text": [ "['AccordionWidget',\n", " 'BoundedFloatTextWidget',\n", " 'BoundedIntTextWidget',\n", " 'ButtonWidget',\n", " 'CheckboxWidget',\n", " 'ContainerWidget',\n", " 'DOMWidget',\n", " 'DropdownWidget',\n", " 'FloatProgressWidget',\n", " 'FloatSliderWidget',\n", " 'FloatTextWidget',\n", " 'HTMLWidget',\n", " 'ImageWidget',\n", " 'IntProgressWidget',\n", " 'IntSliderWidget',\n", " 'IntTextWidget',\n", " 'LatexWidget',\n", " 'PopupWidget',\n", " 'RadioButtonsWidget',\n", " 'SelectWidget',\n", " 'TabWidget',\n", " 'TextWidget',\n", " 'TextareaWidget',\n", " 'ToggleButtonWidget',\n", " 'ToggleButtonsWidget',\n", " 'Widget']" ] } ], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The basic widgets all have sensible default values. Create a *FloatSliderWidget* without displaying it:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "mywidget = widgets.FloatSliderWidget()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Constructing a widget does not display it on the page. To display a widget, the widget must be passed to the IPython `display(object)` method or must be returned as the last item in the cell. `mywidget` is displayed by" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display(mywidget)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "or" ] }, { "cell_type": "code", "collapsed": false, "input": [ "mywidget" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "It's important to realize that widgets are not the same as output, even though they are displayed with `display`. Widgets are drawn in a special widget area. That area is marked with a close button which allows you to collapse the widgets. Widgets cannot be interleaved with output. Doing so would break the ability to make simple animations using `clear_output`.\n", "\n", "Widgets are manipulated via special instance attributes (traitlets). The names of these traitlets are listed in the widget's `keys` attribute (as seen below). A few of these attributes are common to most widgets. The basic attributes are `value`, `description`, `visible`, and `disabled`. `_css` and `_view_name` are private attributes that exist in all widgets and should not be modified." ] }, { "cell_type": "code", "collapsed": false, "input": [ "mywidget.keys" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 6, "text": [ "['_view_name',\n", " 'orientation',\n", " 'min',\n", " 'max',\n", " '_css',\n", " 'value',\n", " 'disabled',\n", " 'visible',\n", " 'step',\n", " 'description']" ] } ], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Changing a widget's attribute will automatically update that widget everywhere it is displayed in the notebook. Here, the `value` attribute of `mywidget` is set. The slider shown above updates automatically with the new value. Syncing also works in the other direction - changing the value of the displayed widget will update the property's value." ] }, { "cell_type": "code", "collapsed": false, "input": [ "mywidget.value = 25.0" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "After changing the widget's value in the notebook by hand to 0.0 (sliding the bar to the far left)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "mywidget.value" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 8, "text": [ "25.0" ] } ], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Widget values can also be set with kwargs during the construction of the widget (as seen below)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "mysecondwidget = widgets.RadioButtonsWidget(values=[\"Item A\", \"Item B\", \"Item C\"], value=\"Item A\")\n", "display(mysecondwidget)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "mysecondwidget.value" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 10, "text": [ "'Item A'" ] } ], "prompt_number": 10 } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Widget Events.ipynb0000644000076500000000000001625212466235755024670 0ustar minrkwheel00000000000000{ "metadata": { "cell_tags": [ [ "", null ] ], "name": "", "signature": "sha256:8cade57fabc6819dc950bc28502028554861fb1440d5d832922b95fd2b8bf25c" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "from __future__ import print_function # 2.7 compatability\n", "\n", "from IPython.html import widgets # Widget definitions\n", "from IPython.display import display # Used to display widgets in the notebook" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Traitlet Events" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As mentioned in Part 1, the widget attributes are IPython traitlets. Traitlets are eventful. To handle changes, the `on_trait_change` method of the widget can be used to register a callback. The docstring for `on_trait_change` can be seen below. Both the `name` and `remove` properties are optional." ] }, { "cell_type": "code", "collapsed": false, "input": [ "print(widgets.Widget.on_trait_change.__doc__)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Setup a handler to be called when a trait changes.\n", "\n", " This is used to setup dynamic notifications of trait changes.\n", "\n", " Static handlers can be created by creating methods on a HasTraits\n", " subclass with the naming convention '_[traitname]_changed'. Thus,\n", " to create static handler for the trait 'a', create the method\n", " _a_changed(self, name, old, new) (fewer arguments can be used, see\n", " below).\n", "\n", " Parameters\n", " ----------\n", " handler : callable\n", " A callable that is called when a trait changes. Its\n", " signature can be handler(), handler(name), handler(name, new)\n", " or handler(name, old, new).\n", " name : list, str, None\n", " If None, the handler will apply to all traits. If a list\n", " of str, handler will apply to all names in the list. If a\n", " str, the handler will apply just to that name.\n", " remove : bool\n", " If False (the default), then install the handler. If True\n", " then unintall it.\n", " \n" ] } ], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Mentioned in the doc string, the callback registered can have 4 possible signatures:\n", "\n", "- callback()\n", "- callback(trait_name)\n", "- callback(trait_name, new_value)\n", "- callback(trait_name, old_value, new_value)\n", "\n", "Using this method, an example of how to output an IntSliderWiget's value as it is changed can be seen below." ] }, { "cell_type": "code", "collapsed": false, "input": [ "int_range = widgets.IntSliderWidget()\n", "display(int_range)\n", "\n", "def on_value_change(name, value):\n", " print(value)\n", "\n", "int_range.on_trait_change(on_value_change, 'value')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Specialized Events" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Button Click Event" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `ButtonWidget` is a special widget, like the `ContainerWidget` and `TabWidget`, that isn't used to represent a data type. Instead the button widget is used to handle mouse clicks. The `on_click` method of the `ButtonWidget` can be used to register function to be called when the button is clicked. The docstring of the `on_click` can be seen below." ] }, { "cell_type": "code", "collapsed": false, "input": [ "print(widgets.ButtonWidget.on_click.__doc__)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Register a callback to execute when the button is clicked.\n", "\n", " The callback will be called with one argument,\n", " the clicked button widget instance.\n", "\n", " Parameters\n", " ----------\n", " remove : bool (optional)\n", " Set to true to remove the callback from the list of callbacks.\n" ] } ], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Button clicks are transmitted from the front-end to the back-end using custom messages. By using the `on_click` method, a button that prints a message when it has been clicked is shown below." ] }, { "cell_type": "code", "collapsed": false, "input": [ "button = widgets.ButtonWidget(description=\"Click Me!\")\n", "display(button)\n", "\n", "def on_button_clicked(b):\n", " print(\"Button clicked.\")\n", "\n", "button.on_click(on_button_clicked)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Button clicked.\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Button clicked.\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Button clicked.\n" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Event handlers can also be used to create widgets. In the example below, clicking a button spawns another button with a description equal to how many times the parent button had been clicked at the time." ] }, { "cell_type": "code", "collapsed": false, "input": [ "def new_button(clicked):\n", " button = widgets.ButtonWidget()\n", " button.clicks = 0\n", " clicked.clicks += 1\n", " button.description = \"%d\" % clicked.clicks\n", " display(button)\n", " button.on_click(new_button)\n", "button = widgets.ButtonWidget(description = \"Start\")\n", "button.clicks = 0\n", "display(button)\n", "button.on_click(new_button)\n", " " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Widget Placement.ipynb0000644000076500000000000001143712466235755025334 0ustar minrkwheel00000000000000{ "metadata": { "cell_tags": [ [ "", null ] ], "name": "", "signature": "sha256:60ff1a42e4dbc911ae15b409033e993257425c982809950746a567a4419b9484" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html import widgets # Widget definitions\n", "from IPython.display import display # Used to display widgets in the notebook" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Parent/Child Relationships" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To display widget A inside widget B, widget A must be a child of widget B. Only one instance of any particular widget can be child of another. In other words, *widget A* cannot have *widget B* listed twice in it's list of children.\n", "\n", "Widgets that can contain other widgets have a `children` attribute. This attribute can be set via a kwarg in the widget's constructor or after construction. Calling display on an object with children automatically displays those children, too." ] }, { "cell_type": "code", "collapsed": false, "input": [ "float_range = widgets.FloatSliderWidget()\n", "string = widgets.TextWidget(value='hi')\n", "container = widgets.ContainerWidget(children=[float_range, string])\n", "\n", "display(container) # Displays the `container` and all of it's children." ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Children can also be added to parents after the parent has been displayed. The parent is responsible for rendering its children." ] }, { "cell_type": "code", "collapsed": false, "input": [ "container = widgets.ContainerWidget()\n", "display(container)\n", "\n", "int_range = widgets.IntSliderWidget()\n", "container.children=[int_range]\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Visibility" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sometimes it is necessary to hide or show widgets in place, without having to redisplay the widget.\n", "The `visibility` property of widgets can be used to hide or show widgets that have already been displayed (as seen below)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "string = widgets.LatexWidget(value=\"Hello World!\")\n", "display(string) " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "string.visible=False" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ "string.visible=True" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the example below, a form is rendered, which conditionally displays widgets depending on the state of other widgets. Try toggling the student checkbox." ] }, { "cell_type": "code", "collapsed": false, "input": [ "form = widgets.ContainerWidget()\n", "first = widgets.TextWidget(description=\"First Name:\")\n", "last = widgets.TextWidget(description=\"Last Name:\")\n", "\n", "student = widgets.CheckboxWidget(description=\"Student:\", value=False)\n", "school_info = widgets.ContainerWidget(visible=False, children=[\n", " widgets.TextWidget(description=\"School:\"),\n", " widgets.IntTextWidget(description=\"Grade:\", min=0, max=12)\n", " ])\n", "\n", "pet = widgets.TextWidget(description=\"Pet's Name:\")\n", "form.children = [first, last, student, school_info, pet]\n", "display(form)\n", "\n", "def on_student_toggle(name, value):\n", " if value:\n", " school_info.visible = True\n", " else:\n", " school_info.visible = False\n", "student.on_trait_change(on_student_toggle, 'value')\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 } ], "metadata": {} } ] }ipython-2.4.1/examples/Interactive Widgets/Widget Styles.ipynb0000644000076500000000000002541712466235755024712 0ustar minrkwheel00000000000000{ "metadata": { "cell_tags": [ [ "", null ] ], "name": "", "signature": "sha256:cd7d3d42126bdbf20c087014460779dfbdb0a63dcb8f489ba7ebfc230a685edd" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html import widgets # Widget definitions\n", "from IPython.display import display # Used to display widgets in the notebook" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "CSS" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When trying to design an attractive widget GUI, styling becomes important.\n", "Most widget views are DOM (document object model) elements that can be controlled with CSS.\n", "There are two helper methods that allow the manipulation of the widget's CSS.\n", "The first is the `Widget.set_css` method.\n", "This method allows one or more CSS attributes to be set at once. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "print(widgets.DOMWidget.set_css.__doc__)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Set one or more CSS properties of the widget.\n", "\n", " This function has two signatures:\n", " - set_css(css_dict, selector='')\n", " - set_css(key, value, selector='')\n", "\n", " Parameters\n", " ----------\n", " css_dict : dict\n", " CSS key/value pairs to apply\n", " key: unicode\n", " CSS key\n", " value:\n", " CSS value\n", " selector: unicode (optional, kwarg only)\n", " JQuery selector to use to apply the CSS key/value. If no selector \n", " is provided, an empty selector is used. An empty selector makes the \n", " front-end try to apply the css to a default element. The default\n", " element is an attribute unique to each view, which is a DOM element\n", " of the view that should be styled with common CSS (see \n", " `$el_to_style` in the Javascript code).\n", " \n" ] } ], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The second is `get_css` which allows CSS attributesto be read.\n", "Note that this method will only read CSS attributes that have been set using the `set_css` method." ] }, { "cell_type": "code", "collapsed": false, "input": [ "print(widgets.DOMWidget.get_css.__doc__)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Get a CSS property of the widget.\n", "\n", " Note: This function does not actually request the CSS from the \n", " front-end; Only properties that have been set with set_css can be read.\n", "\n", " Parameters\n", " ----------\n", " key: unicode\n", " CSS key\n", " selector: unicode (optional)\n", " JQuery selector used when the CSS key/value was set.\n", " \n" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Below is an example that applies CSS attributes to a container to emphasize text." ] }, { "cell_type": "code", "collapsed": false, "input": [ "label = widgets.LatexWidget()\n", "label.value = \"$\\\\textbf{ALERT:} Hello World!$\"\n", "container = widgets.ContainerWidget(children=[label])\n", "\n", "# set_css used to set a single CSS attribute.\n", "container.set_css('border', '3px solid black') # Border the container\n", "\n", "# set_css used to set multiple CSS attributes.\n", "container.set_css({'padding': '6px', # Add padding to the container\n", " 'background': 'yellow'}) # Fill the container yellow\n", "\n", "display(container)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "CSS Classes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In some cases, it is necessary to apply CSS classes to your widgets.\n", "CSS classes allow DOM elements to be indentified in Javascript and CSS.\n", "The notebook defines its own set of classes to stylize its elements.\n", "The `add_class` widget method allows you to add CSS classes to your widget." ] }, { "cell_type": "code", "collapsed": false, "input": [ "print(widgets.DOMWidget.add_class.__doc__)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Add class[es] to a DOM element.\n", "\n", " Parameters\n", " ----------\n", " class_names: unicode or list\n", " Class name(s) to add to the DOM element(s).\n", " selector: unicode (optional)\n", " JQuery selector to select the DOM element(s) that the class(es) will\n", " be added to.\n", " \n" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since `add_class` is a DOM operation, **it will only affect widgets that have already been displayed**.\n", "`add_class` must be called after the widget has been displayed.\n", "Extending the example above, the corners of the container can be rounded by adding the `corner-all` CSS class to the container." ] }, { "cell_type": "code", "collapsed": false, "input": [ "container = widgets.ContainerWidget()\n", "container.set_css({'border': '3px solid black',\n", " 'padding': '6px', \n", " 'background': 'yellow'}) \n", "\n", "label = widgets.LatexWidget()\n", "label.value = \"$\\\\textbf{ALERT:} Hello World!$\"\n", "container.children = [label]\n", "display(container)\n", "container.add_class('corner-all') # Must be called AFTER display" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The IPython notebook uses [bootstrap](http://getbootstrap.com/\u200e) for styling.\n", "The example above can be simplified by using a bootstrap class:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "label = widgets.LatexWidget(value = \"$\\\\textbf{ALERT:} Hello World!$\")\n", "display(label)\n", "\n", "# Apply twitter bootstrap alert class to the label.\n", "label.add_class(\"alert\")" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The example below shows how bootstrap classes can be used to change button apearance." ] }, { "cell_type": "code", "collapsed": false, "input": [ "# List of the bootstrap button styles\n", "button_classes = ['Default', 'btn-primary', 'btn-info', 'btn-success', \n", " 'btn-warning', 'btn-danger', 'btn-inverse', 'btn-link']\n", "\n", "# Create each button and apply the style. Also add margin to the buttons so they space\n", "# themselves nicely.\n", "for i in range(8):\n", " button = widgets.ButtonWidget(description=button_classes[i])\n", " button.set_css(\"margin\", \"5px\")\n", " display(button)\n", " if i > 0: # Don't add a class the first button.\n", " button.add_class(button_classes[i])\n", " " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "It is also useful to be able to remove CSS classes from widgets.\n", "The `remove_class` method allows you to remove classes from widgets that have been displayed.\n", "Like `add_class`, it must be called after the widget has been displayed." ] }, { "cell_type": "code", "collapsed": false, "input": [ "print(widgets.DOMWidget.remove_class.__doc__)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Remove class[es] from a DOM element.\n", "\n", " Parameters\n", " ----------\n", " class_names: unicode or list\n", " Class name(s) to remove from the DOM element(s).\n", " selector: unicode (optional)\n", " JQuery selector to select the DOM element(s) that the class(es) will\n", " be removed from.\n", " \n" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The example below animates an alert using different bootstrap styles." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import time\n", "label = widgets.LatexWidget(value = \"$\\\\textbf{ALERT:} Hello World!$\")\n", "display(label)\n", "\n", "# Apply twitter bootstrap alert class to the label.\n", "label.add_class(\"alert\")\n", "\n", "# Animate through additional bootstrap label styles 3 times\n", "additional_alert_styles = ['alert-error', 'alert-info', 'alert-success']\n", "for i in range(3 * len(additional_alert_styles)):\n", " label.add_class(additional_alert_styles[i % 3])\n", " label.remove_class(additional_alert_styles[(i-1) % 3])\n", " time.sleep(1)\n", " " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 10 } ], "metadata": {} } ] }ipython-2.4.1/examples/IPython Kernel/0000755000076500000000000000000012466236022020062 5ustar minrkwheel00000000000000ipython-2.4.1/examples/IPython Kernel/Background Jobs.ipynb0000644000076500000000000003206612466235755024105 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:481e128e553ec13e039f3e3f5e567cc3caffe391b78b9821ee883fb8770ebc82" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Background Jobs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We start by loading the `backgroundjobs` library and defining a few trivial functions to illustrate things with." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from __future__ import print_function\n", "from IPython.lib import backgroundjobs as bg\n", "\n", "import sys\n", "import time\n", "\n", "def sleepfunc(interval=2, *a, **kw):\n", " args = dict(interval=interval,\n", " args=a,\n", " kwargs=kw)\n", " time.sleep(interval)\n", " return args\n", "\n", "def diefunc(interval=2, *a, **kw):\n", " time.sleep(interval)\n", " raise Exception(\"Dead job with interval %s\" % interval)\n", "\n", "def printfunc(interval=1, reps=5):\n", " for n in range(reps):\n", " time.sleep(interval)\n", " print('In the background...', n)\n", " sys.stdout.flush()\n", " print('All done!')\n", " sys.stdout.flush()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we can create a job manager (called simply `jobs`) and use it to submit new jobs.\n", "
    \n", "Run the cell below and wait a few seconds for the whole thing to finish, until you see the \"All done!\" printout." ] }, { "cell_type": "code", "collapsed": false, "input": [ "jobs = bg.BackgroundJobManager()\n", "\n", "# Start a few jobs, the first one will have ID # 0\n", "jobs.new(sleepfunc, 4)\n", "jobs.new(sleepfunc, kw={'reps':2})\n", "jobs.new('printfunc(1,3)')\n", "\n", "# This makes a couple of jobs which will die. Let's keep a reference to\n", "# them for easier traceback reporting later\n", "diejob1 = jobs.new(diefunc, 1)\n", "diejob2 = jobs.new(diefunc, 2)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Starting job # 0 in a separate thread.\n", "Starting job # 2 in a separate thread.\n", "Starting job # 3 in a separate thread.\n", "Starting job # 4 in a separate thread.\n", "Starting job # 5 in a separate thread.\n" ] } ], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can check the status of your jobs at any time:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "jobs.status()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "In the background... 0\n", "Running jobs:" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "0 : \n", "2 : \n", "3 : printfunc(1,3)\n", "5 : \n", "\n", "Dead jobs:\n", "4 : \n", "\n" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "For any completed job, you can get its result easily:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "jobs[0].result\n", "j0 = jobs[0]\n", "j0.join?" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can get the traceback of any dead job. Run the line\n", "below again interactively until it prints a traceback (check the status\n", "of the job):\n" ] }, { "cell_type": "code", "collapsed": false, "input": [ "print \"Status of diejob1:\", diejob1.status\n", "diejob1.traceback() # jobs.traceback(4) would also work here, with the job number" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "In the background... 1\n", "In the background... 2\n", "All done!\n" ] }, { "ename": "SyntaxError", "evalue": "invalid syntax (, line 1)", "output_type": "pyerr", "traceback": [ "\u001b[0;36m File \u001b[0;32m\"\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m print \"Status of diejob1:\", diejob1.status\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "This will print all tracebacks for all dead jobs:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "jobs.traceback()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Traceback for: >\n", "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n", "\u001b[0;31mException\u001b[0m Traceback (most recent call last)\n", "\u001b[0;32m/Users/bgranger/Documents/Computing/IPython/code/ipython/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self)\u001b[0m\n", "\u001b[1;32m 489\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[1;32m 490\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m--> 491\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0m\n", "\u001b[0;32m\u001b[0m in \u001b[0;36mdiefunc\u001b[0;34m(interval, *a, **kw)\u001b[0m\n", "\u001b[1;32m 14\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[1;32m 15\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m---> 16\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Dead job with interval %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0m\u001b[1;32m 17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[1;32m 18\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\n", "\u001b[0;31mException\u001b[0m: Dead job with interval 1\n", "\n", "Traceback for: >\n", "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n", "\u001b[0;31mException\u001b[0m Traceback (most recent call last)\n", "\u001b[0;32m/Users/bgranger/Documents/Computing/IPython/code/ipython/IPython/lib/backgroundjobs.pyc\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self)\u001b[0m\n", "\u001b[1;32m 489\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[1;32m 490\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mcall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m--> 491\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0m\n", "\u001b[0;32m\u001b[0m in \u001b[0;36mdiefunc\u001b[0;34m(interval, *a, **kw)\u001b[0m\n", "\u001b[1;32m 14\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdiefunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[1;32m 15\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m---> 16\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Dead job with interval %s\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0minterval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0m\u001b[1;32m 17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[1;32m 18\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mprintfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minterval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\n", "\u001b[0;31mException\u001b[0m: Dead job with interval 2\n", "\n" ] } ], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The job manager can be flushed of all completed jobs at any time:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "jobs.flush()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Flushing 3 Completed jobs.\n", "Flushing 2 Dead jobs.\n" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "After that, the status is simply empty:" ] }, { "cell_type": "code", "collapsed": true, "input": [ "jobs.status()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "It's easy to wait on a job:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "j = jobs.new(sleepfunc, 2)\n", "print(\"Will wait for j now...\")\n", "sys.stdout.flush()\n", "j.join()\n", "print(\"Result from j:\")\n", "j.result" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Starting job # 0 in a separate thread.\n", "Will wait for j now...\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Result from j:\n" ] }, { "metadata": {}, "output_type": "pyout", "prompt_number": 9, "text": [ "{'args': (), 'interval': 2, 'kwargs': {}}" ] } ], "prompt_number": 9 } ], "metadata": {} } ] }ipython-2.4.1/examples/IPython Kernel/Cell Magics.ipynb0000644000076500000000000004324712466235755023216 0ustar minrkwheel00000000000000{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Cell Magics in IPython" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython has a system of commands we call 'magics' that provide effectively a mini command language that is orthogonal to the syntax of Python and is extensible by the user with new commands. Magics are meant to be typed interactively, so they use command-line conventions, such as using whitespace for separating arguments, dashes for options and other conventions typical of a command-line environment.\n", "\n", "Magics come in two kinds:\n", "\n", "* Line magics: these are commands prepended by one `%` character and whose arguments only extend to the end of the current line.\n", "* Cell magics: these use *two* percent characters as a marker (`%%`), and they receive as argument *both* the current line where they are declared and the whole body of the cell. Note that cell magics can *only* be used as the first line in a cell, and as a general principle they can't be 'stacked' (i.e. you can only use one cell magic per cell). A few of them, because of how they operate, can be stacked, but that is something you will discover on a case by case basis.\n", "\n", "The `%lsmagic` magic is used to list all available magics, and it will show both line and cell magics currently defined:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%lsmagic" ], "language": "python", "metadata": {}, "outputs": [ { "json": [ "{\"cell\": {\"prun\": \"ExecutionMagics\", \"file\": \"Other\", \"!\": \"OSMagics\", \"capture\": \"ExecutionMagics\", \"timeit\": \"ExecutionMagics\", \"script\": \"ScriptMagics\", \"ruby\": \"Other\", \"system\": \"OSMagics\", \"perl\": \"Other\", \"HTML\": \"Other\", \"bash\": \"Other\", \"python\": \"Other\", \"SVG\": \"Other\", \"javascript\": \"DisplayMagics\", \"writefile\": \"OSMagics\", \"pypy\": \"Other\", \"python3\": \"Other\", \"latex\": \"DisplayMagics\", \"sx\": \"OSMagics\", \"svg\": \"DisplayMagics\", \"html\": \"DisplayMagics\", \"sh\": \"Other\", \"time\": \"ExecutionMagics\", \"debug\": \"ExecutionMagics\"}, \"line\": {\"psource\": \"NamespaceMagics\", \"logstart\": \"LoggingMagics\", \"popd\": \"OSMagics\", \"loadpy\": \"CodeMagics\", \"install_ext\": \"ExtensionMagics\", \"colors\": \"BasicMagics\", \"who_ls\": \"NamespaceMagics\", \"install_profiles\": \"DeprecatedMagics\", \"pprint\": \"BasicMagics\", \"save\": \"CodeMagics\", \"tb\": \"ExecutionMagics\", \"pylab\": \"PylabMagics\", \"killbgscripts\": \"ScriptMagics\", \"quickref\": \"BasicMagics\", \"magic\": \"BasicMagics\", \"dhist\": \"OSMagics\", \"edit\": \"KernelMagics\", \"logstop\": \"LoggingMagics\", \"gui\": \"BasicMagics\", \"alias_magic\": \"BasicMagics\", \"debug\": \"ExecutionMagics\", \"page\": \"BasicMagics\", \"logstate\": \"LoggingMagics\", \"ed\": \"Other\", \"pushd\": \"OSMagics\", \"timeit\": \"ExecutionMagics\", \"rehashx\": \"OSMagics\", \"hist\": \"Other\", \"qtconsole\": \"KernelMagics\", \"dirs\": \"OSMagics\", \"run\": \"ExecutionMagics\", \"reset_selective\": \"NamespaceMagics\", \"pinfo2\": \"NamespaceMagics\", \"matplotlib\": \"PylabMagics\", \"automagic\": \"AutoMagics\", \"doctest_mode\": \"KernelMagics\", \"logoff\": \"LoggingMagics\", \"reload_ext\": \"ExtensionMagics\", \"pdb\": \"ExecutionMagics\", \"load\": \"CodeMagics\", \"lsmagic\": \"BasicMagics\", \"autosave\": \"KernelMagics\", \"cd\": \"OSMagics\", \"pastebin\": \"CodeMagics\", \"prun\": \"ExecutionMagics\", \"autocall\": \"AutoMagics\", \"bookmark\": \"OSMagics\", \"connect_info\": \"KernelMagics\", \"system\": \"OSMagics\", \"whos\": \"NamespaceMagics\", \"toc\": \"TimerMagics\", \"unload_ext\": \"ExtensionMagics\", \"store\": \"StoreMagics\", \"more\": \"KernelMagics\", \"gist\": \"Other\", \"pdef\": \"NamespaceMagics\", \"precision\": \"BasicMagics\", \"pinfo\": \"NamespaceMagics\", \"pwd\": \"OSMagics\", \"psearch\": \"NamespaceMagics\", \"reset\": \"NamespaceMagics\", \"recall\": \"HistoryMagics\", \"xdel\": \"NamespaceMagics\", \"xmode\": \"BasicMagics\", \"rerun\": \"HistoryMagics\", \"logon\": \"LoggingMagics\", \"history\": \"HistoryMagics\", \"pycat\": \"OSMagics\", \"unalias\": \"OSMagics\", \"install_default_config\": \"DeprecatedMagics\", \"env\": \"OSMagics\", \"load_ext\": \"ExtensionMagics\", \"config\": \"ConfigMagics\", \"tic\": \"TimerMagics\", \"profile\": \"BasicMagics\", \"pfile\": \"NamespaceMagics\", \"less\": \"KernelMagics\", \"who\": \"NamespaceMagics\", \"notebook\": \"BasicMagics\", \"man\": \"KernelMagics\", \"sx\": \"OSMagics\", \"macro\": \"ExecutionMagics\", \"clear\": \"KernelMagics\", \"alias\": \"OSMagics\", \"time\": \"ExecutionMagics\", \"sc\": \"OSMagics\", \"rep\": \"Other\", \"pdoc\": \"NamespaceMagics\"}}" ], "metadata": {}, "output_type": "pyout", "prompt_number": 1, "text": [ "Available line magics:\n", "%alias %alias_magic %autocall %automagic %autosave %bookmark %cd %clear %colors %config %connect_info %debug %dhist %dirs %doctest_mode %ed %edit %env %gist %gui %hist %history %install_default_config %install_ext %install_profiles %killbgscripts %less %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %lsmagic %macro %magic %man %matplotlib %more %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %popd %pprint %precision %profile %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %run %save %sc %store %sx %system %tb %tic %time %timeit %toc %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n", "\n", "Available cell magics:\n", "%%! %%HTML %%SVG %%bash %%capture %%debug %%file %%html %%javascript %%latex %%perl %%prun %%pypy %%python %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n", "\n", "Automagic is ON, % prefix IS NOT needed for line magics." ] } ], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since in the introductory section we already covered the most frequently used line magics, we will focus here on the cell magics, which offer a great amount of power.\n", "\n", "Let's load matplotlib and numpy so we can use numerics/plotting at will later on." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "\n", "Some simple cell magics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Timing the execution of code; the 'timeit' magic exists both in line and cell form:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%timeit np.linalg.eigvals(np.random.rand(100,100))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "100 loops, best of 3: 6.05 ms per loop\n" ] } ], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "%%timeit a = np.random.rand(100, 100)\n", "np.linalg.eigvals(a)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "100 loops, best of 3: 6.07 ms per loop\n" ] } ], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `%%capture` magic can be used to capture the stdout/err of any block of python code, either to discard it (if it's noise to you) or to store it in a variable for later use:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%capture capt\n", "from __future__ import print_function\n", "import sys\n", "print('Hello stdout')\n", "print('and stderr', file=sys.stderr)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ "capt.stdout, capt.stderr" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 6, "text": [ "('Hello stdout\\n', 'and stderr\\n')" ] } ], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "capt.show()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Hello stdout\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "and stderr\n" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `%%writefile` magic is a very useful tool that writes the cell contents as a named file:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%writefile foo.py\n", "print('Hello world')" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Writing foo.py\n" ] } ], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "%run foo" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Hello world\n" ] } ], "prompt_number": 9 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "\n", "Magics for running code under other interpreters" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython has a `%%script` cell magic, which lets you run a cell in\n", "a subprocess of any interpreter on your system, such as: bash, ruby, perl, zsh, R, etc.\n", "\n", "It can even be a script of your own, which expects input on stdin." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To use it, simply pass a path or shell command to the program you want to run on the `%%script` line,\n", "and the rest of the cell will be run by that script, and stdout/err from the subprocess are captured and displayed." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%script python\n", "import sys\n", "print 'hello from Python %s' % sys.version" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "hello from Python 2.7.2 (default, Oct 11 2012, 20:14:37) \n", "[GCC 4.2.1 Compatible Apple Clang 4.0 (tags/Apple/clang-418.0.60)]\n" ] } ], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "%%script python3\n", "import sys\n", "print('hello from Python: %s' % sys.version)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "hello from Python: 3.3.1 (v3.3.1:d9893d13c628, Apr 6 2013, 11:07:11) \n", "[GCC 4.2.1 (Apple Inc. build 5666) (dot 3)]\n" ] } ], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython also creates aliases for a few common interpreters, such as bash, ruby, perl, etc.\n", "\n", "These are all equivalent to `%%script `" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%ruby\n", "puts \"Hello from Ruby #{RUBY_VERSION}\"" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Hello from Ruby 1.9.3\n" ] } ], "prompt_number": 12 }, { "cell_type": "code", "collapsed": false, "input": [ "%%bash\n", "echo \"hello from $BASH\"" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "hello from /usr/local/bin/bash\n" ] } ], "prompt_number": 13 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Exercise: write your own script that numbers input lines" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Write a file, called `lnum.py`, such that the following cell works as shown (hint: don't forget about the executable bit!): " ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%script ./lnum.py\n", "my first line\n", "my second\n", "more" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0: my first line\n", "1: my second\n", "2: more\n", "---- END ----\n" ] } ], "prompt_number": 29 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Capturing output" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also capture stdout/err from these subprocesses into Python variables, instead of letting them go directly to stdout/err" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%bash\n", "echo \"hi, stdout\"\n", "echo \"hello, stderr\" >&2\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "hi, stdout\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "hello, stderr\n" ] } ], "prompt_number": 30 }, { "cell_type": "code", "collapsed": false, "input": [ "%%bash --out output --err error\n", "echo \"hi, stdout\"\n", "echo \"hello, stderr\" >&2" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 31 }, { "cell_type": "code", "collapsed": false, "input": [ "print(error)\n", "print(output)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "hello, stderr\n", "\n", "hi, stdout\n", "\n" ] } ], "prompt_number": 32 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Background Scripts" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These scripts can be run in the background, by adding the `--bg` flag.\n", "\n", "When you do this, output is discarded unless you use the `--out/err`\n", "flags to store output as above." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%ruby --bg --out ruby_lines\n", "for n in 1...10\n", " sleep 1\n", " puts \"line #{n}\"\n", " STDOUT.flush\n", "end" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Starting job # 0 in a separate thread.\n" ] } ], "prompt_number": 33 }, { "cell_type": "markdown", "metadata": {}, "source": [ "When you do store output of a background thread, these are the stdout/err *pipes*,\n", "rather than the text of the output." ] }, { "cell_type": "code", "collapsed": false, "input": [ "ruby_lines" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 34, "text": [ "', mode 'rb' at 0x112cd55d0>" ] } ], "prompt_number": 34 }, { "cell_type": "code", "collapsed": false, "input": [ "print(ruby_lines.read())" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "line 1\n", "line 2\n", "line 3\n", "line 4\n", "line 5\n", "line 6\n", "line 7\n", "line 8\n", "line 9\n", "\n" ] } ], "prompt_number": 35 } ], "metadata": {} } ] }ipython-2.4.1/examples/IPython Kernel/example-demo.py0000644000076500000000000000230412466235755023024 0ustar minrkwheel00000000000000# -*- coding: utf-8 -*- """A simple interactive demo to illustrate the use of IPython's Demo class. Any python script can be run as a demo, but that does little more than showing it on-screen, syntax-highlighted in one shot. If you add a little simple markup, you can stop at specified intervals and return to the ipython prompt, resuming execution later. This is a unicode test, åäö """ from __future__ import print_function print('Hello, welcome to an interactive IPython demo.') print('Executing this block should require confirmation before proceeding,') print('unless auto_all has been set to true in the demo object') # The mark below defines a block boundary, which is a point where IPython will # stop execution and return to the interactive prompt. # --- stop --- x = 1 y = 2 # --- stop --- # the mark below makes this block as silent # silent print('This is a silent block, which gets executed but not printed.') # --- stop --- # auto print('This is an automatic block.') print('It is executed without asking for confirmation, but printed.') z = x+y print('z=',x) # --- stop --- # This is just another normal block. print('z is now:', z) print('bye!') ipython-2.4.1/examples/IPython Kernel/gui/0000755000076500000000000000000012466236022020646 5ustar minrkwheel00000000000000ipython-2.4.1/examples/IPython Kernel/gui/gui-glut.py0000755000076500000000000000242012466235755022772 0ustar minrkwheel00000000000000#!/usr/bin/env python """Simple GLUT example to manually test event loop integration. This is meant to run tests manually in ipython as: In [5]: %gui glut In [6]: %run gui-glut.py In [7]: gl.glClearColor(1,1,1,1) """ #!/usr/bin/env python import sys import OpenGL.GL as gl import OpenGL.GLUT as glut def close(): glut.glutDestroyWindow(glut.glutGetWindow()) def display(): gl.glClear (gl.GL_COLOR_BUFFER_BIT | gl.GL_DEPTH_BUFFER_BIT) glut.glutSwapBuffers() def resize(width,height): gl.glViewport(0, 0, width, height+4) gl.glMatrixMode(gl.GL_PROJECTION) gl.glLoadIdentity() gl.glOrtho(0, width, 0, height+4, -1, 1) gl.glMatrixMode(gl.GL_MODELVIEW) if glut.glutGetWindow() > 0: interactive = True glut.glutInit(sys.argv) glut.glutInitDisplayMode(glut.GLUT_DOUBLE | glut.GLUT_RGBA | glut.GLUT_DEPTH) else: interactive = False glut.glutCreateWindow('gui-glut') glut.glutDisplayFunc(display) glut.glutReshapeFunc(resize) # This is necessary on osx to be able to close the window # (else the close button is disabled) if sys.platform == 'darwin' and not bool(glut.HAVE_FREEGLUT): glut.glutWMCloseFunc(close) gl.glClearColor(0,0,0,1) if not interactive: glut.glutMainLoop() ipython-2.4.1/examples/IPython Kernel/gui/gui-gtk.py0000755000076500000000000000137512466235755022614 0ustar minrkwheel00000000000000#!/usr/bin/env python """Simple GTK example to manually test event loop integration. This is meant to run tests manually in ipython as: In [5]: %gui gtk In [6]: %run gui-gtk.py """ import pygtk pygtk.require('2.0') import gtk def hello_world(wigdet, data=None): print("Hello World") def delete_event(widget, event, data=None): return False def destroy(widget, data=None): gtk.main_quit() window = gtk.Window(gtk.WINDOW_TOPLEVEL) window.connect("delete_event", delete_event) window.connect("destroy", destroy) button = gtk.Button("Hello World") button.connect("clicked", hello_world, None) window.add(button) button.show() window.show() try: from IPython.lib.inputhook import enable_gtk enable_gtk() except ImportError: gtk.main() ipython-2.4.1/examples/IPython Kernel/gui/gui-gtk3.py0000644000076500000000000000136612466235755022674 0ustar minrkwheel00000000000000#!/usr/bin/env python """Simple Gtk example to manually test event loop integration. This is meant to run tests manually in ipython as: In [1]: %gui gtk3 In [2]: %run gui-gtk3.py """ from gi.repository import Gtk def hello_world(wigdet, data=None): print("Hello World") def delete_event(widget, event, data=None): return False def destroy(widget, data=None): Gtk.main_quit() window = Gtk.Window(Gtk.WindowType.TOPLEVEL) window.connect("delete_event", delete_event) window.connect("destroy", destroy) button = Gtk.Button("Hello World") button.connect("clicked", hello_world, None) window.add(button) button.show() window.show() try: from IPython.lib.inputhook import enable_gtk3 enable_gtk3() except ImportError: Gtk.main() ipython-2.4.1/examples/IPython Kernel/gui/gui-pyglet.py0000644000076500000000000000134612466235755023326 0ustar minrkwheel00000000000000#!/usr/bin/env python """Simple pyglet example to manually test event loop integration. This is meant to run tests manually in ipython as: In [5]: %gui pyglet In [6]: %run gui-pyglet.py """ import pyglet window = pyglet.window.Window() label = pyglet.text.Label('Hello, world', font_name='Times New Roman', font_size=36, x=window.width//2, y=window.height//2, anchor_x='center', anchor_y='center') @window.event def on_close(): window.close() @window.event def on_draw(): window.clear() label.draw() try: from IPython.lib.inputhook import enable_pyglet enable_pyglet() except ImportError: pyglet.app.run() ipython-2.4.1/examples/IPython Kernel/gui/gui-qt.py0000755000076500000000000000176112466235755022452 0ustar minrkwheel00000000000000#!/usr/bin/env python """Simple Qt4 example to manually test event loop integration. This is meant to run tests manually in ipython as: In [5]: %gui qt In [6]: %run gui-qt.py Ref: Modified from http://zetcode.com/tutorials/pyqt4/firstprograms/ """ from PyQt4 import QtGui, QtCore class SimpleWindow(QtGui.QWidget): def __init__(self, parent=None): QtGui.QWidget.__init__(self, parent) self.setGeometry(300, 300, 200, 80) self.setWindowTitle('Hello World') quit = QtGui.QPushButton('Close', self) quit.setGeometry(10, 10, 60, 35) self.connect(quit, QtCore.SIGNAL('clicked()'), self, QtCore.SLOT('close()')) if __name__ == '__main__': app = QtCore.QCoreApplication.instance() if app is None: app = QtGui.QApplication([]) sw = SimpleWindow() sw.show() try: from IPython.lib.guisupport import start_event_loop_qt4 start_event_loop_qt4(app) except ImportError: app.exec_() ipython-2.4.1/examples/IPython Kernel/gui/gui-tk.py0000755000076500000000000000126312466235755022441 0ustar minrkwheel00000000000000#!/usr/bin/env python """Simple Tk example to manually test event loop integration. This is meant to run tests manually in ipython as: In [5]: %gui tk In [6]: %run gui-tk.py """ try: from tkinter import * # Python 3 except ImportError: from Tkinter import * # Python 2 class MyApp: def __init__(self, root): frame = Frame(root) frame.pack() self.button = Button(frame, text="Hello", command=self.hello_world) self.button.pack(side=LEFT) def hello_world(self): print("Hello World!") root = Tk() app = MyApp(root) try: from IPython.lib.inputhook import enable_tk; enable_tk(root) except ImportError: root.mainloop() ipython-2.4.1/examples/IPython Kernel/gui/gui-wx.py0000755000076500000000000000570112466235755022462 0ustar minrkwheel00000000000000#!/usr/bin/env python """ A Simple wx example to test IPython's event loop integration. To run this do: In [5]: %gui wx # or start IPython with '--gui wx' In [6]: %run gui-wx.py Ref: Modified from wxPython source code wxPython/samples/simple/simple.py """ import wx class MyFrame(wx.Frame): """ This is MyFrame. It just shows a few controls on a wxPanel, and has a simple menu. """ def __init__(self, parent, title): wx.Frame.__init__(self, parent, -1, title, pos=(150, 150), size=(350, 200)) # Create the menubar menuBar = wx.MenuBar() # and a menu menu = wx.Menu() # add an item to the menu, using \tKeyName automatically # creates an accelerator, the third param is some help text # that will show up in the statusbar menu.Append(wx.ID_EXIT, "E&xit\tAlt-X", "Exit this simple sample") # bind the menu event to an event handler self.Bind(wx.EVT_MENU, self.OnTimeToClose, id=wx.ID_EXIT) # and put the menu on the menubar menuBar.Append(menu, "&File") self.SetMenuBar(menuBar) self.CreateStatusBar() # Now create the Panel to put the other controls on. panel = wx.Panel(self) # and a few controls text = wx.StaticText(panel, -1, "Hello World!") text.SetFont(wx.Font(14, wx.SWISS, wx.NORMAL, wx.BOLD)) text.SetSize(text.GetBestSize()) btn = wx.Button(panel, -1, "Close") funbtn = wx.Button(panel, -1, "Just for fun...") # bind the button events to handlers self.Bind(wx.EVT_BUTTON, self.OnTimeToClose, btn) self.Bind(wx.EVT_BUTTON, self.OnFunButton, funbtn) # Use a sizer to layout the controls, stacked vertically and with # a 10 pixel border around each sizer = wx.BoxSizer(wx.VERTICAL) sizer.Add(text, 0, wx.ALL, 10) sizer.Add(btn, 0, wx.ALL, 10) sizer.Add(funbtn, 0, wx.ALL, 10) panel.SetSizer(sizer) panel.Layout() def OnTimeToClose(self, evt): """Event handler for the button click.""" print("See ya later!") self.Close() def OnFunButton(self, evt): """Event handler for the button click.""" print("Having fun yet?") class MyApp(wx.App): def OnInit(self): frame = MyFrame(None, "Simple wxPython App") self.SetTopWindow(frame) print("Print statements go to this stdout window by default.") frame.Show(True) return True if __name__ == '__main__': app = wx.GetApp() if app is None: app = MyApp(redirect=False, clearSigInt=False) else: frame = MyFrame(None, "Simple wxPython App") app.SetTopWindow(frame) print("Print statements go to this stdout window by default.") frame.Show(True) try: from IPython.lib.inputhook import enable_wx enable_wx(app) except ImportError: app.MainLoop() ipython-2.4.1/examples/IPython Kernel/Index.ipynb0000644000076500000000000001004512466235755022210 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:b0cbc510e3a2cd2333bc169f96a4e2e29d892cef880222c00f53b067f2d4f257" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Back to the main [Index](../Index.ipynb)" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "IPython Kernel" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython provides extensions to the Python programming language that make working interactively convenient and efficient. These extensions are implemented in the IPython Kernel and are available in all of the IPython Frontends (Notebook, Terminal, Console and Qt Console) when running this kernel." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Tutorials" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [Cell Magics](Cell Magics.ipynb)\n", "* [Script Magics](Script Magics.ipynb)" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Examples" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [Background Jobs](Background Jobs.ipynb)" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Non-notebook examples" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This directory also contains examples that are regular Python (`.py`) files." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%run ../utils/list_pyfiles.ipy" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "example-demo.py
    " ], "metadata": {}, "output_type": "display_data", "text": [ "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/IPython Kernel/example-demo.py" ] }, { "html": [ "ipython-get-history.py
    " ], "metadata": {}, "output_type": "display_data", "text": [ "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/IPython Kernel/ipython-get-history.py" ] } ], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are also a set of examples that show how to integrate IPython with different GUI event loops:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%run ../utils/list_subdirs.ipy" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "gui/
    \n", "  gui-glut.py
    \n", "  gui-gtk.py
    \n", "  gui-gtk3.py
    \n", "  gui-pyglet.py
    \n", "  gui-qt.py
    \n", "  gui-tk.py
    \n", "  gui-wx.py
    " ], "metadata": {}, "output_type": "display_data", "text": [ "gui/\n", " gui-glut.py\n", " gui-gtk.py\n", " gui-gtk3.py\n", " gui-pyglet.py\n", " gui-qt.py\n", " gui-tk.py\n", " gui-wx.py" ] } ], "prompt_number": 2 } ], "metadata": {} } ] }ipython-2.4.1/examples/IPython Kernel/ipython-completion.bash0000644000076500000000000001011312466235755024572 0ustar minrkwheel00000000000000# load with: . ipython-completion.bash if [[ -n ${ZSH_VERSION-} ]]; then autoload -Uz bashcompinit && bashcompinit fi _ipython_get_flags() { local url=$1 local var=$2 local dash=$3 if [[ "$url $var" == $__ipython_complete_last ]]; then opts=$__ipython_complete_last_res return fi # matplotlib and profile don't need the = and the # version without simplifies the special cased completion opts=$(ipython ${url} --help-all | grep -E "^-{1,2}[^-]" | sed -e "s/<.*//" -e "s/[^=]$/& /" -e "s/^--matplotlib=$//" -e "s/^--profile=$/--profile /") __ipython_complete_last="$url $var" __ipython_complete_last_res="$opts" } _ipython() { local cur=${COMP_WORDS[COMP_CWORD]} local prev=${COMP_WORDS[COMP_CWORD - 1]} local subcommands="notebook qtconsole console kernel profile locate history nbconvert " local opts="" if [ -z "$__ipython_complete_baseopts" ]; then _ipython_get_flags baseopts __ipython_complete_baseopts="${opts}" fi local baseopts="$__ipython_complete_baseopts" local mode="" for i in "${COMP_WORDS[@]}"; do [ "$cur" = "$i" ] && break if [[ ${subcommands} == *${i}* ]]; then mode="$i" break elif [[ ${i} == "--"* ]]; then mode="nosubcommand" break fi done if [[ ${cur} == -* ]]; then case $mode in "notebook" | "qtconsole" | "console" | "kernel" | "nbconvert") _ipython_get_flags $mode opts=$"${opts} ${baseopts}" ;; "locate" | "profile") _ipython_get_flags $mode ;; "history") if [[ $COMP_CWORD -ge 3 ]]; then # 'history trim' and 'history clear' covered by next line _ipython_get_flags history\ "${COMP_WORDS[2]}" else _ipython_get_flags $mode fi opts=$"${opts}" ;; *) opts=$baseopts esac # don't drop the trailing space local IFS=$'\t\n' COMPREPLY=( $(compgen -W "${opts}" -- ${cur}) ) return 0 elif [[ $mode == "profile" ]]; then opts="list create locate " local IFS=$'\t\n' COMPREPLY=( $(compgen -W "${opts}" -- ${cur}) ) elif [[ $mode == "history" ]]; then if [[ $COMP_CWORD -ge 3 ]]; then # drop into flags opts="--" else opts="trim clear " fi local IFS=$'\t\n' COMPREPLY=( $(compgen -W "${opts}" -- ${cur}) ) elif [[ $mode == "locate" ]]; then opts="profile" COMPREPLY=( $(compgen -W "${opts}" -- ${cur}) ) elif [[ ${prev} == "--matplotlib"* ]] || [[ ${prev} == "--gui"* ]]; then if [ -z "$__ipython_complete_matplotlib" ]; then __ipython_complete_matplotlib=`cat < 2: dest = open(sys.argv[2], "w") raw = not sys.argv[2].endswith('.py') else: dest = sys.stdout raw = True dest.write("# coding: utf-8\n") # Profiles other than 'default' can be specified here with a profile= argument: hist = HistoryAccessor() for session, lineno, cell in hist.get_range(session=session_number, raw=raw): cell = cell.encode('utf-8') # This line is only needed on Python 2. dest.write(cell + '\n') ipython-2.4.1/examples/IPython Kernel/ipython-qtconsole.desktop0000644000076500000000000000125412466235755025172 0ustar minrkwheel00000000000000# If you want ipython to appear in a linux app launcher ("start menu"), install this by doing: # sudo desktop-file-install ipython-qtconsole.desktop [Desktop Entry] Comment=Enhanced interactive Python qtconsole Exec=ipython qtconsole GenericName[en_US]=Python shell GenericName=Python shell Icon=gnome-netstatus-idle Name[en_US]=IPython Qt console Name=IPython Qt console Categories=Development;Utility; StartupNotify=false Terminal=false Type=Application Actions=Matplotlib;Matplotlibinline; [Desktop Action Matplotlib] Name=Matplotlib Exec=ipython qtconsole --matplotlib [Desktop Action Matplotlibinline] Name=Matplotlib (inline plots) Exec=ipython qtconsole --matplotlib=inline ipython-2.4.1/examples/IPython Kernel/ipython.desktop0000644000076500000000000000062012466235755023161 0ustar minrkwheel00000000000000# If you want ipython to appear in a linux app launcher ("start menu"), install this by doing: # sudo desktop-file-install ipython.desktop [Desktop Entry] Comment=Enhanced interactive Python shell Exec=ipython GenericName[en_US]=IPython GenericName=IPython Icon=gnome-netstatus-idle Name[en_US]=ipython Name=ipython Categories=Development;Utility; StartupNotify=false Terminal=true Type=Application ipython-2.4.1/examples/IPython Kernel/Script Magics.ipynb0000644000076500000000000002461312466235755023577 0ustar minrkwheel00000000000000{ "metadata": { "name": "Script Magics" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Running Scripts from IPython" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython has a `%%script` cell magic, which lets you run a cell in\n", "a subprocess of any interpreter on your system, such as: bash, ruby, perl, zsh, R, etc.\n", "\n", "It can even be a script of your own, which expects input on stdin." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import sys" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Basic usage" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To use it, simply pass a path or shell command to the program you want to run on the `%%script` line,\n", "and the rest of the cell will be run by that script, and stdout/err from the subprocess are captured and displayed." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%script python\n", "import sys\n", "print 'hello from Python %s' % sys.version" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "hello from Python 2.7.1 (r271:86832, Jul 31 2011, 19:30:53) \n", "[GCC 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2335.15.00)]\n" ] } ], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "%%script python3\n", "import sys\n", "print('hello from Python: %s' % sys.version)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "hello from Python: 3.2.3 (v3.2.3:3d0686d90f55, Apr 10 2012, 11:25:50) \n", "[GCC 4.2.1 (Apple Inc. build 5666) (dot 3)]\n" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython also creates aliases for a few common interpreters, such as bash, ruby, perl, etc.\n", "\n", "These are all equivalent to `%%script `" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%ruby\n", "puts \"Hello from Ruby #{RUBY_VERSION}\"" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Hello from Ruby 1.8.7\n" ] } ], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "%%bash\n", "echo \"hello from $BASH\"" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "hello from /usr/local/bin/bash\n" ] } ], "prompt_number": 5 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Capturing output" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also capture stdout/err from these subprocesses into Python variables, instead of letting them go directly to stdout/err" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%bash\n", "echo \"hi, stdout\"\n", "echo \"hello, stderr\" >&2\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "hi, stdout\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "hello, stderr\n" ] } ], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "%%bash --out output --err error\n", "echo \"hi, stdout\"\n", "echo \"hello, stderr\" >&2" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "print(error)\n", "print(output)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "hello, stderr\n", "\n", "hi, stdout\n", "\n" ] } ], "prompt_number": 8 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Background Scripts" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These scripts can be run in the background, by adding the `--bg` flag.\n", "\n", "When you do this, output is discarded unless you use the `--out/err`\n", "flags to store output as above." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%ruby --bg --out ruby_lines\n", "for n in 1...10\n", " sleep 1\n", " puts \"line #{n}\"\n", " STDOUT.flush\n", "end" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Starting job # 0 in a separate thread.\n" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "When you do store output of a background thread, these are the stdout/err *pipes*,\n", "rather than the text of the output." ] }, { "cell_type": "code", "collapsed": false, "input": [ "ruby_lines" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 10, "text": [ "', mode 'rb' at 0x10a4be660>" ] } ], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "print(ruby_lines.read())" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "line 1\n", "line 2\n", "line 3\n", "line 4\n", "line 5\n", "line 6\n", "line 7\n", "line 8\n", "line 9\n", "\n" ] } ], "prompt_number": 11 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Arguments to subcommand" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can pass arguments the subcommand as well,\n", "such as this example instructing Python to use integer division from Python 3:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%script python -Qnew\n", "print 1/3" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0.333333333333\n" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can really specify *any* program for `%%script`,\n", "for instance here is a 'program' that echos the lines of stdin, with delays between each line." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%script --bg --out bashout bash -c \"while read line; do echo $line; sleep 1; done\"\n", "line 1\n", "line 2\n", "line 3\n", "line 4\n", "line 5\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Starting job # 2 in a separate thread.\n" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Remember, since the output of a background script is just the stdout pipe,\n", "you can read it as lines become available:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import time\n", "tic = time.time()\n", "line = True\n", "while True:\n", " line = bashout.readline()\n", " if not line:\n", " break\n", " sys.stdout.write(\"%.1fs: %s\" %(time.time()-tic, line))\n", " sys.stdout.flush()\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0.0s: line 1\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "1.0s: line 2\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "2.0s: line 3\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "3.0s: line 4\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "4.0s: line 5\n" ] } ], "prompt_number": 14 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Configuring the default ScriptMagics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The list of aliased script magics is configurable.\n", "\n", "The default is to pick from a few common interpreters, and use them if found, but you can specify your own in ipython_config.py:\n", "\n", " c.ScriptMagics.scripts = ['R', 'pypy', 'myprogram']\n", "\n", "And if any of these programs do not apear on your default PATH, then you would also need to specify their location with:\n", "\n", " c.ScriptMagics.script_paths = {'myprogram': '/opt/path/to/myprogram'}" ] } ], "metadata": {} } ] }ipython-2.4.1/examples/Notebook/0000755000076500000000000000000012466236022017047 5ustar minrkwheel00000000000000ipython-2.4.1/examples/Notebook/Animations Using clear_output.ipynb0000644000076500000000000027231012466235755025772 0ustar minrkwheel00000000000000{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Simple animations Using clear_output" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sometimes you want to clear the output area in the middle of a calculation. This can be useful for doing simple animations. In terminals, there is the carriage-return (`'\\r'`) for overwriting a single line, but the notebook frontend can clear the whole output area, not just a single line.\n", "\n", "To clear output in the Notebook you can use the `clear_output()` function. If you are clearing the output every frame of an animation, calling `clear_output()` will create noticeable flickering. You can use `clear_output(wait=True)` to add the *clear_output* call to a queue. When data becomes available to replace the existing output, the *clear_output* will be called immediately before the new data is added. This avoids the flickering by not rendering the cleared output to the screen." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Simple example" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we show our progress iterating through a list:" ] }, { "cell_type": "code", "collapsed": true, "input": [ "import sys\n", "import time" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import display, clear_output\n", "for i in range(10):\n", " time.sleep(0.25)\n", " clear_output(wait=True)\n", " print(i)\n", " sys.stdout.flush()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "9\n" ] } ], "prompt_number": 2 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "AsyncResult.wait_interactive" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The AsyncResult object has a special `wait_interactive()` method, which prints its progress interactively,\n", "so you can watch as your parallel computation completes.\n", "\n", "**This example assumes you have an IPython cluster running, which you can start from the [cluster panel](/#clusters)**" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython import parallel\n", "rc = parallel.Client()\n", "view = rc.load_balanced_view()\n", "\n", "amr = view.map_async(time.sleep, [0.5]*100)\n", "\n", "amr.wait_interactive()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ " 100/100 tasks finished after 6 s" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "done\n" ] } ], "prompt_number": 3 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Matplotlib example" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also use `clear_output()` to clear figures and plots." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "from scipy.special import jn\n", "x = np.linspace(0,5)\n", "f, ax = plt.subplots()\n", "ax.set_title(\"Bessel functions\")\n", "\n", "for n in range(1,10):\n", " time.sleep(1)\n", " ax.plot(x, jn(x,n))\n", " clear_output(wait=True)\n", " display(f)\n", "\n", "# close the figure at the end, so we don't get a duplicate\n", "# of the last plot\n", "plt.close()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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rNVRs3Yv35NHEPHIv3hOGk5VRwcblxzEUa0iO0/b44bsarRanqFCcokIJvGEG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\nLBZz0003XfZ4vRVaDbXt7P3tHMamekQt8b/uQbP9hVSu5OOTpZQ2i1k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DdZvvY4rfXBaO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EY9OR3nkGCavfakSW27HdklOl7ZEMPE8Mb0a27+BQR3w4ajv3L44g5mPfwddnLTXRjPHE/lwI5Y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\nxJmESq2R1zdnsiG1lHnjohgd49WgFyuZQkG7h2+n7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"text": [ "" ] } ], "prompt_number": 5 } ], "metadata": {} } ] }ipython-2.4.1/examples/Notebook/Basic Output.ipynb0000644000076500000000000021137112466235755022435 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:441fa273fba6403e4fa6ef51f4397b1a0ca9ddec43fe8fba217b854e2c7b0377" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Basic Output" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When a cell is run, it can generate *output*. In IPython, the definition of output is quite general; it can be text, images, LaTeX, HTML or JSON. All output is displayed below the code that generated it, in the *output area*.\n", "\n", "This Notebook describes the basics of output and shows how the `stdout/stderr` streams are handled." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Displayhook" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When a Python object is returned by an expression, Python's `displayhook` mechanism is triggered. In IPython, this results in an output prompt, such as `Out[2]`. These objects are then available under the variables:\n", "\n", "* `_` (last output)\n", "* `__` (second to last output)\n", "* `_N` (`Out[N]`)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import numpy as np\n", "import sys" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "np.random.rand(10)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 2, "text": [ "array([ 0.95903549, 0.20840774, 0.89732074, 0.72494962, 0.30424358,\n", " 0.03881097, 0.72698477, 0.92148251, 0.96582423, 0.95202918])" ] } ], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "np.sin(_)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 3, "text": [ "array([ 0.81863802, 0.20690236, 0.78165864, 0.66309773, 0.29957159,\n", " 0.03880123, 0.66461974, 0.79649888, 0.82251797, 0.81459417])" ] } ], "prompt_number": 3 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "sys.stdout and sys.stderr" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The stdout and stderr streams are displayed as text in the output area." ] }, { "cell_type": "code", "collapsed": false, "input": [ "print(\"hi, stdout\")" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "hi, stdout\n" ] } ], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "from __future__ import print_function\n", "print('hi, stderr', file=sys.stderr)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stderr", "text": [ "hi, stderr\n" ] } ], "prompt_number": 5 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Output is asynchronous" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "All output is displayed asynchronously as it is generated in the Kernel. If you execute the next cell, you will see the output one piece at a time, not all at the end." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import time, sys\n", "for i in range(8):\n", " print(i)\n", " time.sleep(0.5)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0\n", "1" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "2" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "3" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "4" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "5" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "6" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "7" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 6 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Large outputs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To better handle large outputs, the output area can be collapsed. Run the following cell and then single- or double- click on the active area to the left of the output:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "for i in range(50):\n", " print(i)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0\n", "1\n", "2\n", "3\n", "4\n", "5\n", "6\n", "7\n", "8\n", "9\n", "10\n", "11\n", "12\n", "13\n", "14\n", "15\n", "16\n", "17\n", "18\n", "19\n", "20\n", "21\n", "22\n", "23\n", "24\n", "25\n", "26\n", "27\n", "28\n", "29\n", "30\n", "31\n", "32\n", "33\n", "34\n", "35\n", "36\n", "37\n", "38\n", "39\n", "40\n", "41\n", "42\n", "43\n", "44\n", "45\n", "46\n", "47\n", "48\n", "49\n" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Beyond a certain point, output will scroll automatically:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "for i in range(500):\n", " print(2**i - 1)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0\n", "1\n", "3\n", "7\n", "15\n", "31\n", "63\n", "127\n", "255\n", "511\n", "1023\n", "2047\n", "4095\n", "8191\n", "16383\n", "32767\n", "65535\n", "131071\n", "262143\n", "524287\n", "1048575\n", "2097151\n", "4194303\n", "8388607\n", "16777215\n", "33554431\n", "67108863\n", "134217727\n", "268435455\n", "536870911\n", "1073741823\n", "2147483647\n", "4294967295\n", "8589934591\n", "17179869183\n", "34359738367\n", "68719476735\n", "137438953471\n", "274877906943\n", "549755813887\n", "1099511627775\n", "2199023255551\n", "4398046511103\n", "8796093022207\n", "17592186044415\n", "35184372088831\n", "70368744177663\n", "140737488355327\n", "281474976710655\n", "562949953421311\n", "1125899906842623\n", "2251799813685247\n", "4503599627370495\n", "9007199254740991\n", "18014398509481983\n", "36028797018963967\n", "72057594037927935\n", "144115188075855871\n", "288230376151711743\n", "576460752303423487\n", 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"1636695303948070935006594848413799576108321023021532394741645684048066898202337277441635046162952078575443342063780035504608628272942696526664263794687\n" ] } ], "prompt_number": 8 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Capturing output with %%capture" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython has a [cell magic](Cell%20Magics.ipynb), `%%capture`, which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from __future__ import print_function\n", "import sys" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "By default, `%%capture` discards these streams. This is a simple way to suppress unwanted output." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%capture\n", "print('hi, stdout')\n", "print('hi, stderr', file=sys.stderr)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you specify a name, then stdout/stderr will be stored in an object in your namespace." ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%capture captured\n", "print('hi, stdout')\n", "print('hi, stderr', file=sys.stderr)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "captured" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 12, "text": [ "" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Calling the object writes the output to stdout/stderr as appropriate." ] }, { "cell_type": "code", "collapsed": false, "input": [ "captured()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "hi, stdout\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "hi, stderr\n" ] } ], "prompt_number": 13 }, { "cell_type": "code", "collapsed": false, "input": [ "captured.stdout" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 14, "text": [ "'hi, stdout\\n'" ] } ], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": [ "captured.stderr" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 15, "text": [ "'hi, stderr\\n'" ] } ], "prompt_number": 15 }, { "cell_type": "markdown", "metadata": {}, "source": [ "`%%capture` grabs all output types, not just stdout/stderr, so you can do plots and use IPython's display system inside `%%capture`" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import numpy as np" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 16 }, { "cell_type": "code", "collapsed": false, "input": [ "%%capture wontshutup\n", "\n", "print(\"setting up X\")\n", "x = np.linspace(0,5,1000)\n", "print(\"step 2: constructing y-data\")\n", "y = np.sin(x)\n", "print(\"step 3: display info about y\")\n", "plt.plot(x,y)\n", "print(\"okay, I'm done now\")" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 17 }, { "cell_type": "code", "collapsed": false, "input": [ "wontshutup()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "setting up X\n", "step 2: constructing y-data\n", "step 3: display info about y\n", "okay, I'm done now\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 18 }, { "cell_type": "markdown", "metadata": {}, "source": [ "And you can selectively disable capturing stdout, stderr or rich display, by passing `--no-stdout`, `--no-stderr` and `--no-display`" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%capture cap --no-stderr\n", "print('hi, stdout')\n", "print(\"hello, stderr\", file=sys.stderr)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stderr", "text": [ "hello, stderr\n" ] } ], "prompt_number": 19 }, { "cell_type": "code", "collapsed": false, "input": [ "cap.stdout" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 20, "text": [ "'hi, stdout\\n'" ] } ], "prompt_number": 20 }, { "cell_type": "code", "collapsed": false, "input": [ "cap.stderr" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 21, "text": [ "''" ] } ], "prompt_number": 21 }, { "cell_type": "code", "collapsed": false, "input": [ "cap.outputs" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 22, "text": [ "[]" ] } ], "prompt_number": 22 } ], "metadata": {} } ] }ipython-2.4.1/examples/Notebook/Connecting with the Qt Console.ipynb0000644000076500000000000001054712466235755025651 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:9a1dd30de04270174c09ef33ca214e5b15ca3721547420087c1563ad557d78e3" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Connecting to an existing IPython kernel using the Qt Console" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "The Frontend/Kernel Model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The traditional IPython (`ipython`) consists of a single process that combines a terminal based UI with the process that runs the users code.\n", "\n", "While this traditional application still exists, the modern IPython consists of two processes:\n", "\n", "* Kernel: this is the process that runs the users code.\n", "* Frontend: this is the process that provides the user interface where the user types code and sees results.\n", "\n", "IPython currently has 3 frontends:\n", "\n", "* Terminal Console (`ipython console`)\n", "* Qt Console (`ipython qtconsole`)\n", "* Notebook (`ipython notebook`)\n", "\n", "The Kernel and Frontend communicate over a ZeroMQ/JSON based messaging protocol, which allows multiple Frontends (even of different types) to communicate with a single Kernel. This opens the door for all sorts of interesting things, such as connecting a Console or Qt Console to a Notebook's Kernel. For example, you may want to connect a Qt console to your Notebook's Kernel and use it as a help\n", "browser, calling `??` on objects in the Qt console (whose pager is more flexible than the\n", "one in the notebook). \n", "\n", "This Notebook describes how you would connect another Frontend to a Kernel that is associated with a Notebook." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Manual connection" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To connect another Frontend to a Kernel manually, you first need to find out the connection information for the Kernel using the `%connect_info` magic:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%connect_info" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "{\n", " \"stdin_port\": 52858, \n", " \"ip\": \"127.0.0.1\", \n", " \"hb_port\": 52859, \n", " \"key\": \"7efd45ca-d8a2-41b0-9cea-d9116d0fb883\", \n", " \"shell_port\": 52856, \n", " \"iopub_port\": 52857\n", "}\n", "\n", "Paste the above JSON into a file, and connect with:\n", " $> ipython --existing \n", "or, if you are local, you can connect with just:\n", " $> ipython --existing kernel-b3bac7c1-8b2c-4536-8082-8d1df24f99ac.json \n", "or even just:\n", " $> ipython --existing \n", "if this is the most recent IPython session you have started.\n" ] } ], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can see that this magic displays everything you need to connect to this Notebook's Kernel." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Automatic connection using a new Qt Console" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also start a new Qt Console connected to your current Kernel by using the `%qtconsole` magic. This will detect the necessary connection\n", "information and start the Qt Console for you automatically." ] }, { "cell_type": "code", "collapsed": false, "input": [ "a = 10" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "%qtconsole" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 } ], "metadata": {} } ] }ipython-2.4.1/examples/Notebook/Custom Display Logic.ipynb0000644000076500000000000415766112466235755024030 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:906200fa9b27beaf47e1e91d3dde8ecf3376ff8aa7fe5e58aff3a2104ba975fb" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Defining Custom Display Logic for Your Own Objects" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Overview" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In Python, objects can declare their textual representation using the `__repr__` method. IPython expands on this idea and allows objects to declare other, richer representations including:\n", "\n", "* HTML\n", "* JSON\n", "* PNG\n", "* JPEG\n", "* SVG\n", "* LaTeX\n", "\n", "This Notebook shows how you can add custom display logic to your own classes, so that they can be displayed using these rich representations. There are two ways of accomplishing this:\n", "\n", "1. Implementing special display methods such as `_repr_html_`.\n", "2. Registering a display function for a particular type.\n", "\n", "In this Notebook we show how both approaches work." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Parts of this notebook need the inline matplotlib backend:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Implementing special display methods" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The main idea of the first approach is that you have to implement special display methods, one for each representation you want to use. The names of the special methods are self explanatory:\n", "\n", "* `_repr_html_`\n", "* `_repr_json_`\n", "* `_repr_jpeg_`\n", "* `_repr_png_`\n", "* `_repr_svg_`\n", "* `_repr_latex_`\n", "\n", "As an illustration, we build a class that holds data generated by sampling a Gaussian distribution with given mean and variance. Each frontend can then decide which representation it will display be default. Further, we show how to display a particular representation." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The next cell defines the Gaussian class:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.core.pylabtools import print_figure\n", "from IPython.display import Image, SVG, Math\n", "\n", "class Gaussian(object):\n", " \"\"\"A simple object holding data sampled from a Gaussian distribution.\n", " \"\"\"\n", " def __init__(self, mean=0, std=1, size=1000):\n", " self.data = np.random.normal(mean, std, size)\n", " self.mean = mean\n", " self.std = std\n", " self.size = size\n", " # For caching plots that may be expensive to compute\n", " self._png_data = None\n", " self._svg_data = None\n", " \n", " def _figure_data(self, format):\n", " fig, ax = plt.subplots()\n", " ax.plot(self.data, 'o')\n", " ax.set_title(self._repr_latex_())\n", " data = print_figure(fig, format)\n", " # We MUST close the figure, otherwise IPython's display machinery\n", " # will pick it up and send it as output, resulting in a double display\n", " plt.close(fig)\n", " return data\n", " \n", " # Here we define the special repr methods that provide the IPython display protocol\n", " # Note that for the two figures, we cache the figure data once computed.\n", " \n", " def _repr_png_(self):\n", " if self._png_data is None:\n", " self._png_data = self._figure_data('png')\n", " return self._png_data\n", "\n", "\n", " def _repr_svg_(self):\n", " if self._svg_data is None:\n", " self._svg_data = self._figure_data('svg').decode('utf-8')#.encode('utf-8')\n", " return self._svg_data\n", " \n", " def _repr_latex_(self):\n", " return r'$\\mathcal{N}(\\mu=%.2g, \\sigma=%.2g),\\ N=%d$' % (self.mean,\n", " self.std, self.size)\n", " \n", " # We expose as properties some of the above reprs, so that the user can see them\n", " # directly (since otherwise the client dictates which one it shows by default)\n", " @property\n", " def png(self):\n", " return Image(self._repr_png_(), embed=True)\n", " \n", " @property\n", " def svg(self):\n", " return SVG(self._repr_svg_())\n", " \n", " @property\n", " def latex(self):\n", " return Math(self._repr_latex_())\n", " \n", " # An example of using a property to display rich information, in this case\n", " # the histogram of the distribution. We've hardcoded the format to be png\n", " # in this case, but in production code it would be trivial to make it an option\n", " @property\n", " def hist(self):\n", " fig, ax = plt.subplots()\n", " ax.hist(self.data, bins=100)\n", " ax.set_title(self._repr_latex_())\n", " data = print_figure(fig, 'png')\n", " plt.close(fig)\n", " return Image(data, embed=True)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we create an instance of the Gaussian distribution, whose default representation will be its LaTeX form:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "x = Gaussian()\n", "x" ], "language": "python", "metadata": {}, "outputs": [ { "latex": [ "$\\mathcal{N}(\\mu=0, \\sigma=1),\\ N=1000$" ], "metadata": {}, "output_type": "pyout", "png": 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MzJw5M67nDUanaH/jUomKSbRgvVT6RQcvhOVAOBUvlQ1UBS/kR384+3fu3ImdO3fGdQ8V\n4hbyFy9exD333IP58+fjzjvvVF7DCnkvMNjCoRIR3ZGIqBgv3iPRWpIX/TKQ0Tlex8HX1NShqys5\n+u799R7HjnUoPx+IDdTt+MUrP/rrFCMqwP/8z/8c8704xGPr6evrIwsWLCAPP/yw9po4H6HFYHEQ\nDga7rxfOMa/ew0t7Z7w2Xyf9MtDj55XTNJHvsX17PUlNnTso7Nqxvnc88iNRNn2vZGdcd3n77bdJ\nIBAgU6ZMIV/84hfJF7/4RfLrX/+af0A/CfnBgsHixIl30/PqPbyKxvBKaNn1i9V7J8Kx6FW/J3Ie\nGs+qJwA/PqmpSxKubA3E+uvPaCYWXsnOuMw1X/rSl9DX1+fFgSIKN0evwZAEI5snGgDUYffuZpSU\nrE1Ym+Ilf/PKzBKPfZgdz8bGQ2hre5H7PlYzhtX1uvdubm5NiGPRK9NjIs1kxrNoH1QCGAagF3l5\n9n3j9ZodCCfqpeYTHFQZr5cidSg/4A0AXgOwHmfOAHV1gyfiwG5xeTlxY9lw5PGsVl7n9eLVvXdL\ny2m0tT3DfUY3GQCeCSqrTdGNQEyk4DGfNR2msAdycystf9cfa7Y/31vX/4PNJ2gLT84DFnDzCDdH\nr8FkJjHNCoOjTdZtVJs+BjrpRR7PxPSl7r0LClYpnz9p0pKEJeK5eU4ixy/WZ/FjXB8Z4yqSnT03\nruQ9L9+bmugmTVpCUlOXavs/ET5Br8TzoNLkBwN1qNvjJKuJ7d7djDNn7NuUaDOTkwiOgeb2kMez\nGMAaAP2rLeneu6amDo2N8vVWGr6XfeU26oZ+VllZjiNHOgAMR0ZGmmftUT3LyVxh5/of/vBx5FPz\nxAsAbW3AqlXuNHr2vhkZn6Co6EGMHHl5XPOWP2msBfAd7nu2/y+l2hiDSsgPNHWo1XES0B/R6YCX\nlKxFnSJqj21TdfXT2LDhIDo7fyQ9o78mjdMNcSAnrjyeRjuys+ehoODznm86TjZa1ZE8NTUHbW3y\n/bw2I8WqxLS3X4FTp7YCAE6dci88ncLJXJHX09rI33VgN2/A3UapWqf5+WvwxBM3x/We/MY6hBKm\nPDkPWMDNI9wcvfrjeKozARUWljk6Otu1aaBCzwaTaUsXrTJw5gbDbBAKLSCFhculNolH8kT1pRnB\nYpg0jL/rLZ8TT9v6I5JIbg+NyIkvOqW/xoCPmon/GfH2qVfieVBp8gNNHarTno4c6YhqRxQqzcOu\nTTU1dejsnKB8BqshxGLOsfrNYHAU2TndEmkuMjU202zQ1QXs389rvjptNZa+dDumN944Fm+++VP0\n9JgnvuTkZZg2bbL2N7Fq//0VxKBOmPoEwDHl9U5P4f1lquVPk/GZCwdLYAiAwaXJDzR0GkJW1sK4\nNA8KQ1OwjssuLCwjodAyV449p47VgUweGyynCUJYjS22Nrnty1hi/mPpr1j72Onv3Gim8qmVjauX\nY+zdnNr6ay6Z40RPUEtIUtLt5KqrygckYcor2ZkwIX8pMNbpTAaFhcs9mVRWSSRVVbWRZyducbtB\nvOOXqAQSJzD7KzFtimV8YumvWE1eTp7lZqPavr2eZGfPFea6ynSzlmRlLXQtQJ2YRWOdq1VVtZZR\nNU7hxXz3SsgnxFzj9ugyUElOOpMBYBzj4zV3GGaT19DUVAKaRJKaegiPPTYDu3Ydi9y/Wvlbq6Oo\neXw1ErEMp1EPmptPuGqfDm7zF1RjZ+co92rMndzHNF8FLNvkFWIxL8QSWBCryUv9rAY0Nh7CzJnV\nGD68BydO/A1NTU9zV6hMlnSutLVNAJ8w1Szc34ixnzy5Gq++Wm3ZPhF2uQVO5qpunuzadYwLitC9\npx0GVcKUJ1uFBQC40mQGmktEB6/MHbr7xGpCUGtN9ISwtJ8caPrjvG7srLQvLykMnJitaBx0evpt\nJCXlm641X7eIRZMf2Lj3epKczGuzodACR5qp+a4Dk/fgpK+ttPX+5RJyN35eieeEaPJuNJn+oDD1\nqjYq/Q2938aNb7q+n86ZZ+78zh0+ptb0IIBaADwNQGfnjzyJ33Y6flZj9+qr6wCoT0mLFtV6QmFg\nN3dUWl44XIaxY+OPsbZCLI7veB3RdnNe/H7+/HHYvdt4lopSoqtrvPI5omZqzhVxHhcjOXkZ50ju\nD+e/3VzdsaMBGzbUo7PzRbAn36amACorn8fll4eVv3ergQ903gmLhAh5N0cXrz3n8Xi5VQsFQL94\nzWVBUIlQ6K+YOHEknniiVHlvXqi9pLwvO7lj3eicjp/d2IkbHH+01//OKeyer9oEWlqexZQpla5N\nBm4Q64KPNW/Bbs7rvt+0qQSzZk3HzJnVqK8X7zoWgUAZCHk2+olKSPOUBwA1S2Znv4eHHpoe3Uj6\nS+jZzVUzwo1PyAKAQ4eWY/bssZ5Fog2ahClPzgMWAODq6OK1EzHW++mO/l45YXXPdGMSchrXG685\nxOn4ue1r/dE+tj61e758FDeiKEaNWhR3XdzBFFRg1w/uv6emwFoC3EaA2QS4m4TD97nOFelv2D3f\njHCzXi+DgcbcK/GcEE1e1GTa25sBBLFx45uoqanr15juWE8GuqN/VtaimO7nBG53fqdxvbGawNym\njrsdO/3RPh7Htv75/UEmN6jioSOwm/N238v9WAegBMBzAApBx6mlBSgvfxRbt5rv2l9mCqcnUbvn\nG3OgGADNe5GDFRKtgfd7oIknW4UFxEckOqY7VlIknQMmK6s0IQ4kJ3Aa1+tdOJ67YgyFhWWksHC5\nVsOVx2ZtZGxKPXdsy+/U/6eH/tbwdfePV5On96b9aOSJWGu//QmVYzg1dS4pKFjlul/Ney0n/Rms\n4L498jrzSjwnXMgnOimGF4TOhZY7ioPHSVVV7YAc2Z3E9SYysYbC6Wae6KM9FV6jRi1yvfGpoNtA\n+5utMtZIJv1v9XHmhomyiljlFXixoanuYUaPiaaj2PuVJh0GAncNyKbFwmqdXVJCnh28zMyFwoAZ\nmnVWVql2ksW7MOSJYj+gdiF/rLZoJjL1z4IW2yUvQHutzK0wNYUXz58yadISR+10E3Y5EPbP/q7I\n5Ha+xdd++YRq16+671VzJRxeTILBe4hOk9dxO7lRfHTPDYcfETYX75REHZ10PMlwbmWX1SnbKyGf\nEJu8momO925Txry9exuxbdvRuG2cop0rJ8cde6CdbY9tS0nJ2oRUrlfZf0Ohhcpr2feKxU5q2C7l\nCITDh5dhx44G2/dKJPNlLDZNr3w/uvv0N1slnwAn0/Zu2lQSDVtlwfcVwbe+xTM36iKQ8vLuQXPz\n++ju5n0n4fAjAIKK+V+CDRt+6phtVf3cHBh0v2uZT+1DJJ3OhbFj05V00rEmLMXin0lI0pQnW4UF\nAAi7FD1u9Z8GpNIK+pP9sT9S9lUagVpr9L4QA31+PH2WKLNcPJFD/Zng5vX7609w3iYa6iKQRoyY\nQ9LTbyOhUAlJTp5N0tLuJ0VFKywSiNy9v/oe7GnS3pfidi64NVvZzY9Yxlxtbn380rPJyy9eT4YN\nu0/ZIV7YStWdXa/tzHgRCy2sFXSTVX28rCcpKXMJUEYAd8RmdojnOJsoe7s51nz/FxaWefoct4j1\n/XV2aWemDOsxciKEZDOQvT9LfV93io+1AlMfmd/zCDCbBAIPKPs11sxip2Yru/XkVtnj/YVG0EFq\n6lxSVVVLCCGeCfkBohqejszMWuVxNjm5U/jECHE6ePBjx4Wx1aaC6cjL+wlyc71PxoiFFhbQHy11\nIY/Z2aXK+wQCGQCugFUlm1hgd5y1OhrHYiKyup/uO2Os1YktTsxK/YVY31913M/IOCXxxrS0PIvC\nwnJcvHhUuY7sEw3N0ME9ez6I9hVvfqLFPdbCqsiHymQVDB5Ad7ezdgFqs1c4fAxdXQtw+vR4mCGP\nwKhRC5CXx4fzAsCePR+LtwVgbyJrbT2OI0c6QMhwtLa+ACC2zHsnphd2Hu/bdwBnz/4i8o1xz87O\nBmzZUoudO1st2+wKnmwVFgAgaQGh0FKNs/Jx4fPYPOmJjuCJVYMIhxdz2mc4vNji+KuO2DBNKu60\nCCewcz7HGmKpOgK7jxZZzWhvg4fGOB7EQnXt5sTAn3r0RVPkCCT7uSWGzmZmzpfWbjj8sK3zVdSq\n3QUWuOd9Mtag2M5HLGv8xlr4hv++ngAiH5Ao7y4pTd5kXQR6MWFCD6qrV2Dq1AYll8nLL+9DVtb9\nOHv2PHp6fsndyYl2mugiGU6cjKIm+pe/fICWlmvBat8tLWsE/gw+USMY7MW//EsJ12dHj+ZEtG3v\nHDhOkqBicTZbOaasNCdCiPa7lSuL0dCwFV1d8vOcODl37GhAZeXzUU3ummvSsG7dvLic/HY8MbrT\nqG4eAReUn4ZCvY5PDDt2NODEiRaEQsvR1ZUNQzNXF02hTluznKX93GId6CUla7F//3ci968E0Arg\nNM6eTUJNTV30ehEqJ/zGjW8qn82OLV8ExnlSXU1NHePcNdHS8hQuXlSdmhtw+HAA775rXu+m8A0/\nx+sAjOfureKf8gTx7hIPPPAAGTNmDCkoKFB+D0C7s4mQd0K9RmvnEElkaJ6dJq/a4QOB2RqtbZ6l\nhiG+h1o7s+9rHew0dKo9G1oetZWWEmAhAZZbhlha9ZOVPVOnVRUUrCKEkJipJuz6mT116BK7nPSX\n0xOPzr+Ql3d3XP4NWYOcF/m303nrbm7xYxlfXLuTU7L8PMO+TdeSDsbv9DLG6+ANvp1VRPZ5iG3x\nRpOP+y4NDQ1k3759NkJediqoIA+oEwdq7NlvXsHumKZ2zN6vnDBZWQsJIc4Fl7yAy0ggYEQ/qGqW\n2m2Odhmc5rPKCCALyGCw3OHi5wW51XN1EVfZ2aVCH5h9bDfXzHd1EvutF1ReZJey46PbdKqqah0p\nLdZRWXRTpklA9o51qixNmrSEZGeXkoKCVbZKE//O/ZFUx28wsZpnjTXmnMMm3rh6db/UE2Cupq+8\nEfJxm2tuuukmHDlyxOYqI163sxPYvbtSe5V8XC0G8CiAp6KfBIM16Oz878j/jONmZ+eLaGwEGhvj\nY5iM1Ulnd0w7evQERMcgcKfyXtdckw4AyMgYo/xeFWdOn93c3IrDh5PR2flLnDvH1ywFnLFnWpme\n+ONmEMBoiEfd7u5/05psrBxTFRV6E9u3v92Ktjb+GA6sRjg8Ktr+vXsbubjszk5g27Y1mDpV73zV\nm0fEur7UAUnRgKamABYseNZYisznojNT94zm5laUlKyV5l9OzgtoaRHjxZ/C7t2Vyrh3Frw5zGhL\nQ8NWDBvG5jyEASwEUAZAVYNVb4ZxCiMQgdIKx8cq68QcFYt5dseOBhw/fgHAcfAmngYEgzU4ejRX\n4tUqKlqhvNfHH7+nHEsRK1cW4+DBsoiJ6ASAZQB+BICapGQOJy+Q8Oga99VwzoC15/P7krj4jCSM\nRYtqUVCg53r3ilTK6Ubx0UcnADwjfPooAoEHQMh/RD8Jhx/BE08YtkA3SRJ0IZaUrOXshcZ72du1\n2TZbPberi+179SYE6MfYXIwloMIwNfUQpk2bYbmYa2rq8O67xWDnAZCLlpYmrnKR24o+uneNfMv8\nW4xKMTbsU6cAu+S+jIxTwm/rAJzAoUM9Stuu081dBV2BcqONdK1Uw4jkeAHAIohCJTV1KSoqvm77\nLCvs2nUMPT1fgzFeHyivceMrstto6Ca/ZUspenpSkZzcifnzZ1j+xrDHPwujr54HcD+A8wgEstHd\n/d8apbEbshBejObmkTh8WG2nlzEKpmLUgGDwPgSDBB0dgEjP7Bm8OA58+OGHNuaaquifqVPna+8j\nH83skn/E478z+58X0TdOba3bt9eTlBQ1qdlVV33NIZmW+pgqwsoc4jSG1+q58nHTq+QPt4XKY69c\nJN7XNI+Ypp5g8B6Sl7dAeFfdnLRO7jPNPs4SeuKZm/rqYmwkh1jf1rRhA2sd01bQ/lOZ/+xt8t7m\nS3gX0+6EqprvL4PozNl42fNhvUWonMzK+hLxSDwnKrqmB1Rr++pXZ2ivErW5gwc/jmhLLIojEQI/\nhOz1V2n2vDa3Y0dDzPG0LJzG0dbU1OHixWsVd2hAR0cPurqGYfjwHlRU8KeA2KkIZIRCvSC8XYH7\njoXdc833uhCqAAAgAElEQVRjcTEM6lk5zX3atM9oj69mDU25Ko/u3cQ2xVO5SLzv1q3AypWb8OGH\nLaAFMbq7gfPnyxAOP4qWlqfAH6PFJWO0bdiwLehVPCojIxfr1t0sVL/SmzC+9a2bY44Ma2+nsdWq\nNr4Q+Td9lwDzndnvubl6cyoLq9MwPw9N7TQr6yNcf/14z4uFeBfTbm1aMn7D95dZk9m+vrLOdEfn\nyObNrzNrbj1uv10vK13Bi53CXpN3vsOysNr5qDOI1wpVu3M9ycoqjUZIGFmC8WvyTjVjc/dnNY1a\nAohZe/ETmrmPa48t+oaNh87LKyVZWfNIVtZCUlS0wpasTd0fhIRCyxy3Rd33tSQQWBzT+6mLZKwh\naWmzSXa24dQvLCwjRUUrSFrancpx1zmHCwvLmGgkZxpjLJFh/KnELmCBOmDLLPvLylHv3EHvrfau\napNXVNp20TP63zijLHZ7SvNIPMcfXTNv3jySk5NDgsEgyc3NJf/+7//OPwAyrYGXnnV2QcgLTex8\n2sm1BIiP4sDpgPGRDWsJsIQAakHR39Wl+jusdPt2e7ZPL5KX9JWL1OnhdnAa8mdl3rn//scU1AMP\nRJQKUbB7b8KQI2hEiovHpQgdq4gdOxOInWAV55oXVNy6NsUTQmvPJquXN4aSM9cxZbHbzc8rIR+3\nueZnP/uZ69/E61kHwJkDbrxxLHbtOoZwOBPnzy9jHHCi+YamwB8FQB1DwxAIHMT8+bdYptAD4D7L\nzr6I1NRlnLNPdazmPf/TYTjBcuLqFytYOanY78Ri5LQPY4020tdrNY6xu3c3o6RkLW68cSwaGnbH\nnLwE6CoX0X/T9HAzksvOQc4f3fUmP0JIxFn3NICfwoiMMMw7e/as4Yphh0K9aG0NYf9+GhnGmnyM\nZ6emliI/Pwfjxo2M24RhmgKoOcFIRBo16mNMm3al6/vbmUDsAgPEueZFoIO6TSVIT/8eY8I15lso\n9BFaW9MtqS3EtbJjR0M0EZOQIPLy0qX6yvQ39J0OH94K4GHl/e0i4VpaTiM1NccyQcwLDAh3jWgn\nteNAEQeCnzBPo67uHQC0wHBDdPEcPXqKsek3ADgEw47PCwRCeIEgTsiDB8sAjIrYZ417JSf/lIkg\naEVS0jH09IS5AaPvFQqdRHZ2KXJyaJuudNQv/QX5HRsk7h26CAE4iiAyFyBLC6susTd2LHD4sNwu\nHceHHS+O2ndjLDInAobfNJyE/B0DFfDmPddLYY4zZ1YzV5i2aVPwPujZwjapoU27MFCMadNetw29\nVMF9icAGpKbW4ujRHIljKtbyk/ZtMuZXR8crkX+XRz7fGs3gLS8vQ07OC8jIGGM5f815YnLknDmz\nRrqOgn+ndOU1ukg4ABGF6Bm0tbkL/Y4JnpwHLABYZ7y69YzLLHl684CcDarii+CPmfZ0vrqjN5+I\nozq+m0dL+TdJSXc6Ni/EC2dJZ/piEKqx4YuMWEeR6KprxZIlqn4f1RywP0qXlKxVlHc0xigrayFj\nirI2VajbpS7s4VVxnKqqWiniKDl5acxzyk2JQNk3xo+X0ySi7duNik1ZWaUkM3OhlMxnP291Zjz7\neeSWzTSeCCKnc9Ir8ZwQIW9mzMmZqW6dEXznriFWWXumsGCfYW2/s+a1Vv1/DVHZ+JOS1HZ3U8DR\n3+izNL0UAvo+1AstXT1b6kzUc91Tu7CaTpqOjc4e7HZOWNk6Y6d/VS1eGrrpfOPQ0QKYVMH2AkjV\nRme1BuLjr3dPfCY/e/t2Z3UJrLJ99Zu/3Tx23ie6gICUlLlKOgu1X2gtycpaaOvvcjonvRLyCTHX\nVFR8BeXlv+COJwcPGlXenVYQouBtgScAnFZex5I3LVjwLHOcnwcrEiO1rVH8TGzDBxCJhfr6pijb\nxYfUPQg2gaazE9iwYRmmTm0A4CxD1SlY80dj4yGL9zHR3R1QfNqAxsYkXLzIJ3/Mnz9OOL5fASO7\nUgYdG7eZqOKccEKkZpjPZDOGzjTGmoL27PkAp069wH3f09ODpKTdIKQchJhHe9Efw5rqkpM3oqfn\nV9x9VMRY1IQB6E1kOvNTauo5R33mFG4SjOyypDs7H4Rd0pUVWRg166hDadmrxXnsXLYY617ObL54\ncRzjV2nAzp01+OxnX0JKSgcTYgsA05Gf/yo2bSqzXZ8JqQbFwpOtwgIAtN7voqIVcWpt6vClpKQH\nbDRD/a4ra3JrSErKHSQY/KZCo6NtUO3M1kd1Yzfvn6QY6z4T26/6v6G1jRypihqw5/owTwCxRTE5\nNRU4IVIbP/5eApRz1zk1Y1gfyU3OJPvIFNX8UGtzdgXAndWUjb9CmBuTmTPiOeukKyuyMGenLtU8\ndscbJCfULSd8n8qnsaKiFa6j1ZyekrwSzwnR5D/8UK1lfPhhB554otRV8ge7m7/9dhLOnxdTgXtx\n5ZUXbLgt9Lsu/X9lZTkOHUpBV9cPcfEiwDp0x40biWnTJmP3btoG1c5cHIm++RpUNTiNdHdVCnsD\n9uz5AH19IeX7x6KZqRxfPT09SE6eg/T0TOTlpeOOOyZHI0Pa25sBBHH8eB/kNO6PtO2i2tbMmdWo\nr7ePYtLBCReJlTMPYE9BayFqhz09P+I4lHROXuuom+no7JyOceNkThm5bfQ+7IlCPE0ZaGk5jbY2\nngKDdVLqCn90dVHN8k6o5hvgRSSL2llqNV40EMEu6cqKYsLJqYtGNNF1aczjFhw/zmrb1rIlJaVd\niPpi5ZYcddXS8iymTKnEq69Wa9vutN1eJ4ixSIiQDwTUfNhAd0wvzHK1GHzX/AT6/OcrpevdPIMe\n8w1ObAr1ojbaIBMLpab+BI89NgVbttRK2ZlNTetRWFiO1NRD6OQKYTUAeA6nTl0L4C/KtoVCva7J\n1WTB8BqArejpAU6fNqIIpk4tQHX1CsEcsBZG6B/LGWMfSSAffeUoJis4GS++kDWfaWgIqJJI+5uV\nz6CRN5WVz0c3cwpqFnMfdSO2jaIYBiFYGCwR1rBhS9Hbawp0JwXATWHIc+WcOweMHFmGkSP/FWfP\nvsT9Viecrbj03ZhRnWdJm+9ZUXErN4/b21uQmXkBp0/LGdQVFXcp20KfbTX3d+yQa1bouKzOnn0U\n/Dpm5VZ8RGtu2+0lEiLkr746HadOySyCV1+dBsDZC6sEmxv2Obed6nSSG214LSJUDGGYmnoIjz02\nA9XVK7BzZyvq6+X7ZGTk4rHHxmDDBjbW/nkYgoAWXJB9B9Om5cZZEV4dB15ZWY7Kyufxxz9+wtiP\niyGyZ4bDiwHotSNanCIQOA9C5La4zZGoqalDV1eyFEtshgzy7Tt8eBk6Oj5kPmdDOk20tzdH+pHt\nb55mYd8+w+Zu2ufl+6jCgWWfB6UV4E8Cvb1AdvY8FBR8PiqAamrqLEsumnM+AJVmmZW1SPm+Iuvl\njTeOxTPPvIOWljBoab39+4H58xfgmmtewJEjf1Pex0qrVs0/q1wXcR6Hw2XIy2vCqVP3Awjimmvk\nOHW3cLLu5VOLsY6TklrR10fXoHjSMObL73//R1x2mREePXZselxstv0GT4w+FgDAeM5Nm1w4/IAr\nG5YYicAWduiPLE63POCxRoqwYWPA7cJ1hh1z2LD7ovd1cj/rQtAquyctBq4qXGC0YdSoRdE2VFXV\nkuzsuWTEiDkkOfl2ctVV5aS4eI2QMRhbFiLbp3Y2dzOlnC+gnpx8O9N2dfan6SeqUtpbRZoF9Rx8\nWHHNYuUzZXuv0e5RoxZpipDQ91pCkpLMPqbjqSsJqI6IkovYG32niohaxvy//4jF4vU56eZ5cfEa\nbSSfDlblNk25tYSY/iVnBc7jhVfiOSFCnqYA2zkpdCGDVo7beGAVougV/4aadVEXE65buAuj97MK\nv7ISjPo4cOqgWsP823oT0YUF8qFy8QkJJ0Lgqqu+Jj0DWE2CwXuF51On3zxSVLRCCK1k353dMMrI\nyJFzonOjqqpWoags5t6nsLBM8cwFZOTIOcIcthYOVVW1JBi8j6g3KOtiJaocBHUIYxXhmShVnDeG\n4E9Onk2ysuS49XgQTwEO1Tw3Q1JFZ799USG7EFCWxqCoaAWzhvq3tvAlJeRVE1kUsFbEVpmZC4k5\n6UytLS1tdsztchI9oNLQ3cSu8wLREA7B4G0kL29B9Pf84ldvZnl5pdFnWnHDxBqVYmiZ4oJXC2fz\nGapniRsQfwpww1/CCwE67vcS4DYyYsTXSXb2XBIMzlK+r6HJO63YRBPkxE3Bfek3XV5BWtpXSWFh\nGQmFqMBWE6JlZS0kxcVrSF4ePVXFRgLGng6zshaStDRVFTLVxq4aP2d02m7yOZzGzuugnuc0ydBO\n0VC3341CZ85Nsb/0G1UsOS+XpJC3mqDmoMsZZ8bikQcsEFgcs2YRy3HRTViZ+hkqs8AC4XveJDBi\nxO2R8E16nP4/RA4JXEKqqmpdccaz2klqqigUzU0pO7uUez/zGapnuRVK6r7jhQDVzGQNzRD68vOu\nuuprtvzyfHvEMnBONjC5b01lhB/zQKCMmG1eSwIBURA9IvzmDkfP1JkJ5b5Ws1IapwXWROcsE9pN\nKKt+XcjjmZR0pyMTiyFk+VMX8HXm/6zgd7bGnZp9+bnpNinOeR8RcgkLeX09zyqis40amo3znd/J\nrhkLPWl82bm6SaGP4S8sLCPB4D2Rz1gaWbFwQX1MsfWmDXkxUdVrFW3OfB/Y0dnSyawqOGLdNrMm\n7mJm3EXBKNqU+Xs6YSakC3vSpCUkEGC1XXHcrOkzKNTPtBtz1W8WWvzWae1Ssf2yplpVVUsKC8sE\nH4ZdfD+/RtzQRtA1OWLEbMKzhi6JjLVeCLL2duAWoZ30VFLF9Jk9hUksMOemziYvnwBi9T94JeQT\nTlAml5GjaIUq8qOr64cYNaocKSkdkXh1CN+b0RpySJxZ53LChBei4WGAGHFiRlY0Nh7SMtfFl50L\nqIOZ2CIoABvDX1NTh+7u3EjbaDZgNeTCBUBX15uuC07wWYZsGbQgRo48g6VLizmmSj6iqQRy9M+r\nmD9/MsfESEPWNm58U3g6z07JMn3+7nfNMCNSKJlbKvO71wBMAHCz1IZQaBkqKr4GwIgPt+oLNvKi\nqGgF9u+n34hz4zUActameL916+ahvJyPPEpJOaKYt2MRCJTBKFKiyiFJi/wth+bqMmvZqJlDh8Ta\nrcY7ZmXdj8mTP8eNS3U1DSFk+6oSodBfkZLSgbNnxbYZ0UO07OKxY+o6seK65GvPvgM+vFbOZWDD\nPuWw3mHg5UQyjLlQC3OcAgDcF5KxgyED6Np7HcBJAPMwYkQAN910rTJE063c8BoJFfJyggRFA4yY\nVHWiTUZGLgoKWplFaIIOmDkR2JA4s87l/v0NuO++WuTnv4SxY9Nx441jGWHlLHnEbTqyHOKp+v10\nTJjwPMaM0QlGo6qWCX0b3OYD8JOP3zjGj1+KbduOSkWhJ0xIx/z5Bdi9+3U0N59ES8s85OSEbely\n5U2VZ6fkmT5p2OMY5n1pQgFVBNaCZXakcfwTJvRwbdD1hSgcZ88uQHs7W/WKCldR8TCelZ39HjZt\nWiHR0G7dyj+ztTVDmLeGkCMkAGNDVQnJeZH6vw8A+CRyXQ/y80dEE/h0Mf5vv12Krq7PKO45Hddf\n/7oycUecN+3txwGko7s7FYcP04Q+ozYt0IO2thejYcGpqaWKZ/FrQq49K9JdWAtBPsQxGXISIa3Y\n1AiDAvprMFhpy2ClBMQCcx7z6+Wmm9SF1tUhtbQt1qyrnsGT84AFAFjYDKldjTqs9EdsO+cIHxIn\nHnXVDhgaCuj0KBVLxI1o/5ZJqR7nwhJHjVpEsrPnRp2UsmnCfdSKznxlVcDD7BdvwsT4MVf1uWq8\n2KMxteGusmiXs+gdnY2ULaJBIyn4ik7uj/zys8qEdov/JwR4nFxxRbGS2ZGaWAwnrhuzp1ypyFl7\na4lpSnFnoqMwHZXsfLYzaelIA1VzVo6kCgRmc/+npk0dq6RTuJEBVpFo1FxGTVCqsfZKPCdEk9+5\ns1qxubwHI7V7IgCawq8nD7PSUnfsaGCOqHSnZTUkdQLQ7t2VKCiYENFK1DUaxR1WLAzhNDuXQpWB\nt3dvI9avP4ieHjMzdv36ZbjvvlHIz38NTU0zAOyM9E0JdNqdClZ86itXFuPgwefQ0iJnGV52Gc28\ntK+b6wSU8GrDhp+is1MsLALw2hy97/MIBJ4HIQthHI2PABguXGNq1vPnT5fMS9bc9/w7iXzwAJis\nah5Oj/wsTcaRIx04deocaPKRgYUwauWap5FwuAU5Ofn45JOnhTaWRPqPnlarFU+kWi1gdcLRQe6b\nYzBrNajExXTk5f0Eubn6E1NT03Hm93WQTV/FAL4J4N+id9WTBqpqC09HZuaPkZdHCeqAadNKsG0b\nW6zHuOe6dQtt+8AKbk7LuiQrOlfNk7LaXAV8N662UiTcJr9jRwPKy59DS0sngEIYL0eP5/LCZY/E\nuuw1IyuS2t9oCjkr5PV2Q3XmZAMOHfp/uPrqr6O1dSRX/ampaQ02bSqJOatN9Q6LFtVyAh4w+FXq\n6ubhuedWYPPm19HcnIWmpl24cOE4CPl35kp9YQPAmoPk1VfXYetWRFLb+SxDM/PSO3uiWcRblYUq\nmqGM4/AXv1iOMWNej7AOjoowd7IVlqYjNXUpHnqIXTT0PdVmNzc2UjdZ1VZob78Cp05tBbBI8Z5A\ncvIP8A//UIhQCKio+IbGh1GLzs4XYQr3VsgoZiqWORNurCLzhz+IRe7tTIUNaGk5jcsuy1EWpOdZ\nKAOR+8mb0PjxpzFhglqBO3GiBSkppbh48TOR3wcwbNgepKbei5SUtMicXSKN89Sp9pQGTlFd/TS2\nbKmPMnI+9JCR0W4FnTm0oKAau3YdE0xQ/QhPzgMWEB9hJoyUao5bxp9w+AGJx1lndjBDqtiQONYD\nrjfJyDG79kUv7MIs3cbD6kwCo0Yt4q6LxUsfSxQRfQ+Zi9/ZM3X9oC4sYo63zpQlv4vMaOg+esf5\nOzkNr9OBf56zxD7+N9RURd+fjT6SI6Ksareq3o1nXbUypYjFbuyjYvgxKyOAs3qofNvkMFOWZ76/\nEWtBFmfsnOx48pnbXonnhGvyR450wDiuLhK+oSaIbuTlpeD8+bEMj7OqBJ+pqR0/fhy8dnCe+X8t\ngBkAloEt2cbyWSclJUU+bYhcT7Vqd1rs1772bbz44kn09T0b/cwJB3xycqfy897eExzfiJNIBhY7\ndjRg374Dyu/szA2mmeF5HDq0nHPu2WmyOhORwbwJqE5sW7caWpGV5qVzelFTgQFqdjNqDbz9dpJU\njs6pds6b6gi+9a2bleRWdmRxvEY3D8CjAEyO8mCwBt3duVw7+Simehhzkp6AimHO0wawGnFOzllb\nDZOF7BSVTSnJycsipS7rALwPw4TzH1CbGUqwaFEtCgoMk1l7O+XAoWP2NMS1qJtPfEnJp7jvWJ55\nr0DH8ujRE2hpOR3lo9m160/o6eFJ33p6foQtW+ZZ9rVunk2blostW1hCq7FgawYDiPS5Ry/myVZh\nAfERZvYd1WicZhfqd0UjdlaX/EG/Y7W/uWT8+HsFbZW2Q9xhaRutS4JVVdUSQF0Nyk7rvf/+x4iY\n4JSUdC/JynqQ06KSkkRuG/X9acajwUfjLP7dCm41WTcp926oDmSHvVlNSx+/bFwbCi3g0vLt3slJ\nAouaskJ2SuvqGaSlzRZ+z6fgm4EBqhNQ7LQALHh6B759NBnu/vsfY9rJXleleC+7Clj1JBi8jaSn\n30MyMxdGaSas2yY+J7Z3tYKVk1RX4Uw8aevuy84zM7Pf3mLglXhOqJDfvr2eBINzmAnxiOYFVYOq\n+qw+krpNM2KpEC8j5vFObarJzi5lBAN7jBQnOyskaRGRr0s8HvxitJ+MbHKHsYBqiWHCWkSSkm4n\n4fB9QjucJV/wGxe7SXkXYWAHO36deEwfOsFqfC5mIsZ+zLdLpnKTmq+LyHDCZ2OYIlUCWE2h4JY3\nxdyA9GPGb1Lsdc4yZAsLy7S1YMPhxcryenzb+pcjxvpZ9UQmDjRliApWJlu5TOZaAixS3t8rIZ9Q\nc42R3PMo+OPqs4ornZTgM46XRnk2mXI2HF6MsWMfxHvvJeH8efluOTlhHD16AoanPgdmUgobI81S\nxJrPuHhRrgR/+rSu3Wo6WtOcsQLGERaRfwN9fcCFC4uYX7zAXANYxWqbR9xq5nrevJGRwX4XP0ST\nhXlE52FX9s8JTOetCRoZk5+fIziLxX4zjvn/9/8+aMtBLicUGWBjt9VRQmrzWUbGJ8jKuh+EBJGX\nZzi3eeeqOoopO7sUvAnFGMtg8D6MHu28IIYOPHWxDDl5UYx0YU076j67eDEdr766DiUla/Huu6x5\npwEtLWG0tKid5daJd3bmNfs6CyxMk5ooEusA3AbRxASU46GH5HtbRbPJPP10XarpsL1C3EL+1Vdf\nxcMPP4ze3l6Ul5fj29/+tvZaPluM2hHZUiymPTUpqYyzbYfDx8DzmMtFKYBKZGV9hOuvH4+Kim8I\nhUV4jBs3Er/97fvgI3zo808CKAWQg+TkkxHbmCgwxAlaCmPSsxsYEAg8gIqKB7hn83ZQ9cIwCxaI\n1/Beer39V2fQ4zMW4+W/Vk3qcLhMqH/pTgBZRTJYRcaMHZseEfL03fUVyXTvUlNTh717/4KurmuV\n19AN22iH/aZeXf00Nmw4iM5OM2zyzBlj0fOhger3CoczkZmpqlfwfzB1agE2b65Ec3MrWlpOIzU1\nR+LdtxN8TnwvfPKiqAQhWjHtvfealHbk48dbmD5jYR+ea2yOP8SFC+cxbNg9uOqqK5WJd3bCVQfa\nPwcP0iI9qix1qojNgxHu3YXx43uV9ni7ilrqhEo2IspAfv5qNDVpm+0KcQn53t5ePPTQQ3jjjTcw\nbtw4TJ06FbNnz8aECbyGQx1K7e005IvVLBuUZfL6+vhyexUV3wBgOuYOHvxYKOJg3HPy5Gouq8/K\nyfbb3x6COcnUzo/x40M4fFgljMUJOgPAFgAjwTrCRoyQnarmZK+DLvX66qvTMXo01bDYa6wpGMxJ\npIonbsCwYT/hMhbjKQ4OqCd1S8uzKCwsx5Qp1gJIherqp5U5A8DTqK5eYZl1XFEhan76imSq5xrC\n+EcwTkHWlAlGO1QVwUyH/o4dDdiwoT4S9miCLnp+bqppNlpaTuOhh6Zg9+7XGYc0fxJZteo1tLV9\nHW1tdWhsTMbbb9fisccaMXVqgWPBd/nlYXR3n0BLi1EAQxSkZjt5wZ6S0gEgGxkZmQgGk9DTIxcH\nCodHMX3GQr9hm0KbLZa+Bt/7njp82U25QgqZboHmobDvQNu8AvSkDQATJsgVznbsaMCePWwIqqm0\n/u//HsMXvvCwogC4ng7k9tufVLbbLeIS8nv27MG1116Lq6++GgAwb948/PKXv5SEfF3dd3DwYBm6\nurohLopw+OdYunSyokyeutweHTCnSSpWyQvJyayp6Bj445jhQR81qhypqbXo7BRTxcWuWwFgN0Tz\n07lzkCaaOdkp54YsTGhc84IFz+LUKZqebU/BcOONY/H223y1qUBgDkaMSENSUpfj0nBOodOsMzJy\nUVFxc0QAPYO2NqCxkRcyKi3zqafeUEYy/OAHs7Br1zEcPXpC0HoakJpai6NHjU3ESFYzKBcOHWIr\n+1CYFckoZGFsn1BkVRGMrWplZdJh5+ahQ39Gc3MZ+voWQRzjbdv0uRlmqUNqdgQ6Oz+DJ5/ciUmT\nGtHUxJ8+m5oCKC39AUKhWuTk5OD8+Y/R3JyN7u4fR6/KzFyDioqvAEA0uisj4xMUFdFko15MmzYD\nL7+8L0KrQJ8hlos0agUfO9aFkpK1DJWIiuaDV14qK1uFtqvnKp1DBt+Rup914DcGk48mLa0RoZBB\n15GS0uGoTizdME6fplxLRilPIzcgBT09v4pW/MrMvBsjR96NpKQMJCd3Yv58+5j7eBCXkD969Ciu\nvPLK6P9zc3Pxu9/9TnktT4Qlh3zpyuTpBsmL0n/XXJPG8IrohVV+/mk0NlKtrQTGZFTVYM1T3kNd\nMpBq6ZRzoxQGCVcnxo41hcnUqXWoq6PXbATwK+5eIpHTtm1HI6cio4+DwWPIzb0MV16Zhz/84UNH\n7XMDK81ap13RUoMi78rBg2U4ezZFcbcGnDuXg7q670T/n5paijFjkiPJai+isRFobGzA22/XRk5/\nl+Pee6dEStzx2aTr1n2Du7ssjEWThLGRXLyYI4Vjbt5satjTps3Arl3HBPIu65q49D6rVvWhr68E\nfAiv2We0QLlYk/XixSD4spEGurvX4P33D3N9aGweJTh3juDcuRK0tT0PgAD4MVjQMWpvv0Iyw+Xk\ntOLkyV5s2HCCybxl+41uUKYP69Qpg5+oqWkNlzFuFtqWi4+fO6dO3tITn6nt2lahwrKCYlgDrruu\nmsvSN8yHpVHz4fz5MyR5wptg18AICQ/DEPK8H+L06QlgFY9t29Zg6lQ1KaIXiEvIBwJqZ42MagC/\nifw9E4CpmVMnoFvyL7dkXCrwrIH65xu2XpYA6UdQ1WCVC3Or34G1gzY2luLixWvBLuzz5x+NmmEM\n6oGySC3Ov1O2UU3kZAin7u6LOHx4PQ4fBqzqnbLx+FSIOXFkWW22ctYmYGQTp6CrKxtijLWhCHyg\n+E0dCGGpAIxTXkdHKafRA68xAt8QKkuX/h127z6Ori5Es0kBU0Ntb2/G+++fB79Bm1p8WtpB9PXl\nSPcFeOVBZRM2yLtk9krWpAOI46bqM6NGq5EpztdkDQbvhbGMtwq/WI8LF+7g+tAkdqMnwjCAXKb/\nTFqP999vw7lzW5nvnkdLSxAtLU/DjI+vFp5p9EVa2ixcuJDE1Ao2IFJHUJK1kyc3SteaGew81MRn\ngBPGTvpMOqedEodt23aUszI880wZXn55BTIyxkTXhblh0LnzAxhjUi3cXe+HSEvrw86dO5Vtigvx\nhCbcWuIAACAASURBVObs2rWLlJSURP//3e9+l3zve9/jrgGgCU2SQ9Lkkl5y1qvXYDnFdURLcvYn\nm/E3l6SlzRNiYPUhjiKc8J6b17ghctKFgznJNF1tWalLDBHTZVjy1ZdongENO6wS2rUmEkomFpMg\nBJinuLaKDBvGhpnGUsBBRYRm/jY1dYmjUMri4jU2tVXNEFYa18+CzwrVhfzq+PPrCXCP8jfDh3+Z\nmdNVzN9rhH+rYsPvZe4vZj7Te1kRlolz0fguK6tUQdYnXmuENZvFVtRrSZ7vcj1i/dgb14uZrOIz\nnBT+yc9fTfLyRO56XU0AVb+ow6zjFM9RxKXJX3fddfjggw9w5MgRjB07Fi+++CJ+9rOfKa+Vo2P4\nnVamO23G8eOZXNZrvE5CFVj7KaB3PAFAaekPce6cHK7Z27scFRVfwaxZ013zZWRkiLSpBthjqXkN\nq60Ymlco9BFaW9OxY0eDA8eWqWkFgyMBDMe5c2dx9izlwjHu2dSUgvXrf63UxFTHeB2fD38KoddX\nR/6mbWX7cy1UkQypqWcjJyS+73t72ZOJdXYyGzljhN0CplZlmjJE+/rOnSp+GOO+srNWBCXv0jtN\nTSpaa9761NQctLWpCcJCoQ3o6hI/bwAheYzpjp6QWOpq6jwWTUQNAGgWOO0j9v1Y5z7f1mDwKXR2\n/gLyqdEMeTbMsmy2rIqGeisIMUy7odBfMXHiSDzxRKnGt2X2BTAd06apaX9l8+F09PQA2dnzUFDw\neeV6dRYRVIJgcIvQF7qaAO4sFp4g3l3ilVdeIZ/97GdJfn4++e53vyt9D4Crj+o0EUZOGigjQClJ\nTr437oLCrCaqpv+Vq9IYnDt3arSX2Lhc5PdU30/dF3KBZ1n7Vt27liQlsXwjrBZpXxVIV8dU9/6y\nJixSJrO8HUuIqMVTSlY1j44zniFeg2Pfq0q4lzHHhg27LzrHdOOTl3c3SUpiM5zjKSepqk3Kl1+0\nooVWzWGjopiqr9hn0c/E7FlVBriOuttoayi0gOTllZKUlK9r5pOVRivyTonvWE+ys+dKa8ct9beh\n+cscMe6qwanWhSrpsIwkJz9A6Joz+nwuSU39ipDJrm+zB+KZEOJBMtRtt92G2267zfIaVXSMHcwd\nlHqpwwAWoqfneezf/zfcfvtm5OVtRU1NudLbrrMjy2FTtRDtmVRjpTwWhw8H0NkZBPCIdC2FlfPS\nju5Xx29B7cYff3wIweCSSATEdBjahExNunt3JTZtKomeJD7++BCam5egu3s+TD6XT9DX9wvml1Sz\nEDUUtcbR3a32w9CwN7HvzVMIyynDJpb8AABhnv00gDsQCKRi9OhANPJg6tSGSKQR+1RjXLOy7sfY\nsRmRAhcyJwqvwbHvJb7jFQC2orfXsHevWmU4CsXxCYcXo7k5gL6+KcxvndmEWfDtYiOK1LkQOlpo\nGonFniDfey8Lf/2r3Ffp6TUYPToQieShkWC1QsvYfBb6nT4+3jj1GuvlcNTXS39fDiP8WNRU2b6n\n194DQHS8G5q9Vdiv3cmZzsvf/34/gIvg5/katLd/AhUoAyZfuU21Llh7vPnsz31uKYLB8ogP6kEA\ndejsTEZv7x7k5y9Cbu41cbNjOkFCMl5ViTd2wtiMqael72jct+l4OnwYKC9/FFu3miF5dnHBMiGT\nKsTNcA7u30+TpL4Dg1CNZsDKsDpu8c80nFtNTQFUVj6PffuMd2GTWnp6krFhw98iAqsBxsQ0TQmB\nwJ9BiPwcGpZn9sVFdHePg+ksXgsaZmeCLl5xcYlCqwHB4Pdw7txwqNDe3mxBSiZTOScl3Y2JE8fj\nvff60NNjfg4cBfAtEFKHtrZkbNhgrGxD0NcpwmZpxaN1Sq5+ufQg+15WFaD4jZPywVMTV3f3ZPAm\nJzOJLi0tCV/6kroUHAveFGAfhaOjhQbAraVp08bif/+XJaajpR070NFB8JnPjMEDDxQwUS4jhTBB\nlggO4OcBaz55kHPQG2GMi4XrjY1TNt/ImyLQB0BMQhPHxQgDXbDgWUydWoeVK4uVphkKXiYshLGO\n1oI6mIESBAIvWvxuK2hEYCj0V4wd243z53mzsy7gIjd3DAgh2L+fjToCuruBY8eWYdMmmfCuX+DJ\necACAJhjyWrBkWkex0RiJqPAND0u0qOV9ZFYNmusiRx550aPQzIhk12hZXp9KXNfd85V85goFylX\nHz3XaNqiOh6qidPUXBwiD4rZV2YxZ/GYXMo4pd07KAsLy7QcL4WFZSQtjXWq6u6/VDNvnBGc6QjC\naLF0uwpQ8nOrmLaqCOCc8ePI81VNvmYFvTORJeazb6N1BTNzfYpmVvW8VfHrqJ3+RUUryIwZVQz3\nk5XZ0H2VMt75f4f0e2A1mTRpiYM5Y8oaPemYPC+NtW9d8U7Hc+OVeE6okKcvpp7c7KJmbYZziCnI\nqpSdRW1qVnzldDLIZQJVwpf1lNO2smXa6CReQEaOnONQyKgEzRqSlbWQFBevEYRklebf5m8Nhkle\nKASD90SFgszgR22xaiFtNVFlEiuZz92KlMws/8a/g1zCrorYbeSxEJw52RysFrVJZMdGCNF+ZNlU\nrZlK7dvFltqThZhKIMjtZjd3sXSkuk91bXPSz2ree93c1Ue/GPNHZdueq3g3Z++xfXs9ycxko1z0\nZIUinNRhEH17dMOigr+4eA1JS/sqAcTIG+PPpElLFBGFJmGbV0I+4Xzysu1aPibziSnZAI7DsOuJ\nWacG6JHW9Larj96VleU4fpwA0So1gIrbfPz40UySFD1WLgRfpg3IzOzANdeMxcaNb6Kmpk7LA7Ny\nZTEaGrYyERByokgoxCZ/WNmNjTaHQk/h4kXWFGMcAzdsWIapU9lIG7ZPHoQYRZKU9Ac89thXonZv\na3OHns+dEBWBXB0OHvwYSUlS6AeAuoidk803EIuWm6DzJhaCMye2W6t4/29/+ycQzU1mwWj6DnzE\n1aFDyyXKCbt2NTYeErK++UQolTksNVXk56H9R00E6oxbwNqP5LSfed/ZURh9QufWO+jrY6/WR7/I\nNBHGs3kiNuf1HeQM1GTIpkoD6enDpDwROXLHnM80e1esRJafvwZPPHEzAAgEhKOl+wDJ+POfj6Gn\n5xnuO54P65+V7XWLhAv5UKgXhBCbJrCC6VkYHbMJwJ8g0yI8goqKuwCwC1WVNYlIjU3KWvk8gOUw\nFqkx+fLzV2PTJiO9uLy8LJKckwzgEwSDTyEnJw0dHR8gPX0Y2tpO4dy5XOzfb6Ze60I8Z82ajgkT\nXmA2DnkT4pM/dHZjA/n5q9HTk4azZ2kxCROdnT8SeFEoF0cK2NRtM1V/TDSlWreweT4cnoAtM3M+\nWlsz0N3dy9AN8JsY0BApgmA6RUOhjyKbHrvJGo5hFeINMbMTWlYbwaJFtQDYxWhcm5RUDUIyQYhq\nPH/omC6Crofe3pDy+66uYdrsYYOlkoVoT68FrxxZcx+5gRn+Cchzug59fWMlokGdM9qkiRgHI/v7\nAoBujBqVjZycdowd+yA+/LBNcLwbUM0NOQM1ALXfowGtrSPx17+agQxNTWtw/fU92vlcV9eAN97Y\niL4+dfY5IYQZqzEwqUt4WpKenmqhLfI88gIJEvKGoyM19RCmTZuBqVMLNMRMFJSVLRz5P9UcDeE8\nbNgcZGRkRh1PbA1Yoyj2rzVVVYYr7leJUaM+Rl5eMoAgNm58E+3tzbhwIRVsBMvo0Y+itvZOAMYu\n3dFxDVQRLrqFvW7dPKxaRd9Z1e3FjBdfJoEKBEzekIqKWyOCh9XSzMW7Z88H2Ls3h2Pwu3ChB729\n7LsbyM2ViZZE8BvGGbDcJGfPpjIbnUE3MGxYLzo6/pu5gxmPHA6PQkvLaVy40Mt9T9uUl3cPjh9X\nR8n0N3QbQU4OLWrOYjpGjBiNjo6VsIq4sgowkAMF9Kn5PN2vCYOlkj2BFDMbKt2MtkQ4fOy5j5yC\ntt2suUsVK/5UIxMNGuOoyrA2Cr0fjNSENe5x4gRw4oShJa9cOYkpzm1ANzfkDNTnAZyFHNdfg87O\n/+Z+29RUgmPHfirkGNCAC+P9+vrymf+bmcLNzSdw2WXsiYHlQRLzEXqE33tEOykgQULeEIadnZSn\noSAa6tfcfEIR+mawsm3ZUi8sLkMY3HKLOtmBJqf09HwLKu03IyNNyVyZlycm+MhlzWi5MXOXrla+\nqXh0ZBc5JXlSayTTMWHC8xgzplKbOMMiJ+cltLWpEoqAU6casH79T9HTQyMD6pCSchDDhi3hiKic\nCk/ahkWLRBK5tejtZfvJoBvIylqkuMt0hMM/QVfXZWhrewYqWgjjJLUKgLVpJR7e8Fh+a1IYm1Eq\nRpRNL6wirnQRR4DRp7J2PhYib3ly8lJMmzYFu3YdUz4jN3cMKiq+wvXXtGk8o+G0aTPx8sv78Mc/\nyvQBsRLUyW2noZaiNsoTDcobG+UbegnHjx+PkMRR6gUzCqapqQS7d7/OhQi3txsEaCpzKW9uMQV9\nUtLvkJQ0B8OHp+Fzn8tCd3dulDjMxAuMPJoOfq3XRdpWCyPc9yAME5UhqA8dasXVV7OhNuxJXKSs\nYJlvGwCoaRbihieWfQtAcLyqHCU6J4/TaAqarBQIsEWCqfNmCUlOvp0UFKzSJD6JFXp0zk7D6aIu\nl8a/m1z1iXekxUJ/IIIvd6dzvolOVn2UBNuXKm8/78Sy7iddwpQRQSE74rKyFsbpRLWOsIjnt/pS\niqqkIrt5xc9/NQ0F79QG6oWELnfRNyxiLeru7F5i8hTviKYRLNZBF/S3YjlPQsQoGLux3L69PhKh\np0uyW61xXNcT2VGqCg6g5T7lNQbcQlJSvimtu/T0e4Tr5gr/Fu91iTpeAVnb1R2TVXbSadNyUVNT\nh40bjULBpgOEJVsCzN37NfT0PBPVxILB7yE9/V4kJ6dpKvTod1TenyCyUhrmqNGjrxaY8eyTlqwS\nInSaJ091K1bXYvnq1VpVRcVXuH5cubIYgNq5t3dvI7ZtO8o4sSjUCVMmF74qNZ+90jhJiTUArGDF\nbGllFpEpDczf6jRZPlaaOtDoeFJHNh9DHgj8BWPGtKO1dTiOHAkq34HOfzUNBW9OM65/kzFn/DSq\nZZonY2d2dTsSQDenHDWlAJCcvBE9PbIj+vDhZaiufjrCt05NFH8Bbwah6+40eB8IAKxHS8u86P+s\n+OMBI5+grS0JZkEgtWlVdrirajyw2jgNDjgGYAr4NUbf+3VcvGiYglNS/oBQKBlXXTWeoS2mrJsT\nmN9MgDnuZnCHFxgQIR8K9TqeUGqmP1OwvvHGryMOkGrIQkcegO7uV9AdqRkhV+ix5g+hpg1zUrCs\nlMai+8UvShlecn00gJPoBSfJXZs3v449ey4I5h+Wr15Gc3OrNnHJ5PBW8diIJpZiyaGan79amYFJ\nM0/lo7E7p6qav55NXjPfh8J812rlPXVRJrwgETmGVFXOgMsuO4W2tqsjfWJNfysLGLUQpiyhe/f+\nBZ2dzjcpCrrWZC5+c167raykjkZ6FfPn34YNG2qlQimdnV+LbFApMDeA6si34rqzj4L5wx8+Vl5j\nzm2WBtl6HQJiMSJav8FkdE1J2YIvfOFBXLjQE6lTMAXGeLHFhORqdRcv9uHixfXReR8Ol2HkyH+N\n1HVYy/xmLfM72t/eRNck3FzDc5FYH5tF04Fx/NUd8VSJNOyR0gm3ib5ivSpxRG2WYI+rc7TPdAIn\nvDa0PeqEGPXvZbMJNbMsZNpulZBi9EtW1jwtA6UKVuY3q6QQ+z6xi3G3v04F3iQh5jqo78UnlTkr\nvK5PQhJZQt2bW6wSD9WMoc7nqs7Mqs6LoPdfrvhMXHeqdVMvmD7t5jbbV/ZMr/L84s1mbN5DVVVt\nhLdILPItjo+6jfw6W8D8WzRRQdv3bpAQTb6kRNbo7Ep1qTQLI5Zcx7FC44LZGHA2Tld8VUNT3b27\nGYQYFYVqan7HaMR0R30aZ868g69//d+RnFwbrTc6a9Z0zJxZrSh0Qj3mz8GI8RepAWpw9GiuVHxC\nBat6pizUZq3Jkco9ct1O2WwSfWLkbyseG1PTuP76SlcVbXRhioDaTMT+BtBxibDhmDxkDd0dvwxv\nkhDLKarvdfz4KCayy9T0hw37ALfc8hnOLCeeZlUnoNbWEMPE6p7BsLLyBfAVltQV15zONRa606jp\nqGZB78+eiHSUGuK6UUXBqPvfnNvs6fwCnK5D/oQyPXpfOjYAonPeOJlkgDflqN5ZBF1nrNNeztdR\nr9EY4MlWYQHVI5w4gPQam/hbNSNeUdEK4cRgnWWbn79a4SiTuc2Tk5dGnV3qNtZHdnlRI9A7f3TQ\nOe6KilY47n9RUywsXK51jBYWlkX6y6qP9RqpE01c1T7dyYLVtGQeeHOcrRycagbPeSQ5+V5SVLTC\n5cmjngSDt5H09HtIVtZCkpdXymU5Wr2LmFXp1AnMrxU1NYCu5sL27fVC9rZ5H8rrrs+ctdfkVf2l\nCzgws9hVjk5VViuvSfP0F+x7zOP6n9fExRoQztah02xfc7xV91bVBjCc0Wlps5n+0a8tr8TzgAh5\nJxNKvRHUCxE05ufZ2aVSSjGbbsxPPLVwTk+/LZJqTz+zXrA688NVV5UT2cRhL8go6GQ1UqLFI9zj\njlLmVfeUi2XIkRp6QcX3sbgozEiGKgKsIeHwYltBb7ZJNdYmb4y+KIeKStgch6qqWlJYWBYZU/e8\nJ7SNbmgUqqpqpUIUyclLpCgYJ8ViCLHn3bGiydbTacj9EG/El51ZyLy/XeEa9VxwSnEtz3MxIiz+\nzczuvYcNm0kCgQeEd9VHuomUCLTPL0khbx1a6IxLJC/vbsvfWmlINBwuKUncKNSngaSk+5RtGDVq\nEfcu2dm8jZNfXGJomSzIWPDtryKiRgPUk0mTlmjDHHXatNyf8ilFTyBnveANrn055M1uMzLDQPUE\nZmoeeLn/rEmj3G2yTmDV11VVtSQ7u5SMGrWIZGeXcgLeDPe9P4b5wI+FnbJkEuOxG7C+H4x2z420\n2114phPFjY6RsWZKowKusHB5dB3xYYa6uWA9J9m5ICsszteh05OpeFo2uPzZGglzia56l9X8u+SE\nvFMHEIWdk06nXdmxxxkapzjwTpxo5p/09K86jNFlj4siyZXxf2vNTX3isI+9N54TCi2IFr+wLw3I\nTzo3GqxOy8rKmhe9l2rBTJrEMiXaxZm708CcFXuILUY81lh93sHv/H144WiytaodnOY7mZvoI7b9\noCLL0r2TajxjicFX9WM4vFiZy2K37nVtlBVKZ5uRqi9YC4FO8Bt9rorzV5OUWfXPJSfkvfTeW8Fq\nspkatrMqSOPH36s8esv1HOV3qaqqJenptxHg7sj31vZ9dfvlI15SknrjMTUWp/4G54vSTqtR20uN\nz60EIq9lmSeW5OTbFYLDGcUzbatMHRy/f4PCqdaqZ4ysUr5PKLTU0v4rbuKBwGzLdmzfXq+geXYX\ncaU3h/CmPidrwmk/FhaWuV73+r4y+os1jeg2Eet2qZUrtQ9F1ZfWLLSqd/RKyCcsTt5L770VrBI+\nTP4PMb5Znfw0YcLn8cADOdiyZR56ekJITu7CQw9Nx86drUwFHJ4zZseOBoaD4xWY8a/HwKarA0BP\nz4+we7fJHcMTPvHtTEs7iL6+HHR2/p2yrT09qZF/qWtQpqd/z0GFGzlSw0n8dFLSBaiQlNStKZjy\nCe6//yn09qYyV5tRO5///MPRtH/+ewCoRFbWR7j++vFKugM+EY1FN+QiFatBiNx2NuqFps5nZIyJ\n5nPYzWW+9qsBnjGS5TOhc7AXY8eekBLU9MVu1sOogaqPFpo1azry818SIl3solLU70RhtIPnwOns\nBJqb5yIc1tdwVkHXjxkZuY6T41RQ1XI1I4r+VVtcxrpddREuG55qYfPm1xV1Z1Vx/sVISVmCixd/\nDBULbX/Ur6ZImJDXCV+a6BELD4kKVpSxstCgz2nQJonMmjVdChMsKVkb/R3PGWOwV/7tb2fQ3U3D\nvXRhYgbYQtM84RObSfs+rrhiFA4f1ifYJCdTvgxVqOhr6Oh4BXYVblSLkl8wZoLUokW1eO45Y1KO\nH3853n1XFqDjx18WWTBsPxn/PntWVS3IeMbx48cxc2Y12ttbBMExHfn5r2LTprJo21iByLdVZMzM\nhcEGaApV4FZkZPB8InJ5SD5z06x2JYMm+W3YUC8lA/GMkTKlbji8GOfPX4W6Ojmha9as6YzgkRNu\nrDY+OZzR+E4sXu00Uc1oh6xIdHf/J3JyyjFlivMi9nYZuCo4SaLUJczt2fOBskqdeF9e0aI4AXEu\nAGvQ3HySu2rlymK8/XatolLUdBQUGNxUe/Z84CrzOm54ch6wAH2E2v72gG0R7VigM/PwtnK2HQ9z\nST3UGaQzT/C2VdWxTDSF2Dv+rIsvsIVM1GYLfbFr/ZG4sLCMZGXNI5mZC7XhhE4KsZi2X5lzRY7w\n0IWy0vDGMmFsFkuRBzoTEG+jpg5HVfEJvTnBSfKUlRPQ+L04/sYf3u7tPAyUb5f63jrbrlMnutPr\nrN7PrX/DrYPfygzDrlN1RJK1D02dTGheb5pJeb9aevpXpXZWVdVaBoc49V94JZ4TJuQJkYWv0zAy\nN55uO9DohqyseSQrSxZuTp1q27fXM5lr7J8qjXBQ2fR0A2+X1anOxqXvxoeBqiZUvXCNOlaYD13U\n26GtJvX27WKsttgeQ7gHAmWWz2Chs+XydmUn0USyQOHHQb8YdYoEX+FIfg/r3+kXvl6xsLftOvVt\nOblObedXj5P4O11EmFP7u11FOX10mPW80tng2ZBhIyxafmZKyjdd97lT/+QlKeRFOC2xFSvrYCxw\n4yDWJ2zpS+zZD3w9AdSJH7xgVmsxtM/0IWT2k9488bAMfuqxMrVTc+MR2RF5p5zVBmY/HwhhQwP5\nSCVeU2bvxeYFqNuoHlN3ETDmpihGtBASDJa5EGDqZ8mbeGyx/1ZwolDZaaqqe7pZw2xkjD6aSBT4\nxlyg9ZzZNaBWxlRlQ/XzTp1zIK8bJ8qo0xPMkBDyTia2F5l4buAmFMzaBGUvUMR7GYJVFeJp/KFR\nBzoKY51GIbZRnQVpvmNeHq0fS7+rJcBtyt/YRWWY70WFnlVNXWdjbRWXTxc3H9bpTljLSWPWi1H+\nDR1H03yVmTnfUvi6EZzqd4xd6MjvYU9nHLsG7rT/rWo/s5u4vKGKRcrtnu90g7VaN7FsZHb9N+BC\n/j//8z/JxIkTSVJSEnnnnXf0DxAayk48J+FMboWu20ltXxjZelNRDZabBcDCMF/pTwJ6m6O7NlqZ\nybZvrxdC81gtWLaHjhjxdcvxMe31rNArI4HA7dEcCbM9zoSqE7oHftGp55BVUhnrn8nLKyVZWaWR\nLNPlGjs1e2/nhFh8W90pBlZrI5YTMF+jgJ17+tBOJ3Czhs2+tDN5qgjPnMwFeV451ayd02fYj7kT\neCXkY46u+cIXvoCf//znWLp0qePfqMLxwuEyFBXxpe3kkCQZsYT6Obl+/vxx2ugcFey48N0gI4OS\nN8nhdXl55j3dhqOKbTTenZbzM7nwp02bgZqaOhCSyfxajKSoBNCKpKQepoqPDDo+ZjQGz3lPCIRq\nQWyfGxFAEyeO5Mo7Upj9xGPkyMu5dwYMsi8jmoF+Q0M5T+DQoR68+y4fzbJ3byN27ToWjd6YPbsI\n27YdxalTZgSVWDJPHg91+3TlAPmoIOOenZ3gwmtVsFobTkgARegiZ2jd4FgjP9xE0Zh9qZrj05GX\n9xPk5rIV5aQwFgDAhx+aFMB2hdydFHoHxBKeBqhskGtS8GHV/RI14xAxC/nPf/7zrn+jmngtLc9i\nypRKVFTcHA2JY0t5rVxZjIMH2aLaPQiHj6Gi4hsW91aH+tm1pampBFu21CIczkR2dilycsy6lE4G\nKZ6ydICqZJm6FmssoWcs+AIURumyzs4J2LChHmPGZABIY65mpwht01r09VHhKMddh8OL0doawsyZ\n1ZFwNLYWrQm6KcmLDKioKNeyNba3/83R+9PNjd/UKFNpLfr6xDDHEq4oBwC8/XapMhySFXryeOjD\nhcV6CG+/XRvpcxHWIX+AdbgwL3RMWOWlGO/hToFwMuet2inewwxfVPdhbu6YKHvmjh0NuPPOHyjr\nOXd3n5RCs1UlQylUipAutFu1GZjh2XJYdax1dD1DvEeBmTNnOjbX6I5tVinVhk3X2ubG39uZM0pf\nvsz58ZaF0/Auu3voQjztI4DiKR9o3sfkyaZ9rjqGqvpuLRk1apHCBFdPjDJpsR1l1X4Pfeq7DgZx\n2O3MO6vmopN3lU0NTkLwTJoGXZ+7m4sq5yRrGowlK9fwC7gj0nNDhWAd1kyd6GVk2DB1JIuKcVPt\nn3mABIPlHq1lmSLE+jfemW08EM/Gfay+vOWWW0hBQYH05+WXX45e40TIV1VVkaqqKpKXdxMB3pI6\nwMp559TWZW3LcxKGF9/guAnvsvIb0ImrC/Fkr4sn9Vsf6kftnix96mLuGp0gKCws09RxvZsAD0hC\nz0mbvUh9Nxcg+85OBbqzeSGOhyqSyr7PnT3TiXCNzQ69mtx//2OOHcBe2KHVQnoxGTlyjkRkZm7s\npuDNy5tLMjPnE9bJHQw6K9ajW4syXbH9Zkv9N2lpzojnVHjrrbeisrKqqookRMg7gRtNXheNYnaM\nXPzXqdOGX8hEul9WllzdiW+Ls+foYB/nrkui8Sb5y20egaFVqt950qQllgJLRUtrRhWJ/a9O/nHq\nFJc5aNyNCyGiAlClaJvV5iXnN9hxuFszgdr3uV3In1PhaqUI2BH5OdlAYyElE2FHbie3V6Xh8wlz\ndsRtVJHiQ1FNbd38vfvN1ukG4wReCXlPaA2M9thDtGm1tzfj+PFMnDs3AqoU8sOHlyEYbFXeS6RD\nuPHGscjI+ATJyZ9EbHQNAH4BmtZuUA48iq1befsbbUtj4yEld4dTOzdvl1V365EjHTh1aiv3u/+V\nxQAAGCtJREFUWbzpzCoH8sGDZcjJeYHjW5Hv3w0dZw9r99Rh6tQGTQUj1hErpuBPR1cXcPnlhn9B\nZ/Pk32khVDh79oRl+1iYzrxiALVMewC2Es9DD83Atm2quqWTsXs3P2fNak26erL8d9S/pE555/u8\npGQt6urka3hntgxVxTBrJ6v6HmJdZR2fTry+IQAgZLjmG74IuprWwQD161G+m5KStVqKBnNu0Rqw\nptzp6gL27wdSUyn9hHU/y369BnR3y1WtwuFHUFFxl+Y9E4BYd4eXXnqJ5ObmklAoRK644gpy6623\nKq+zegS/OzvhFBe1RlPbMm2gdKd3xzoYr52b/71aA1BraHKVHjdwm8JNYWhhKvqE2MLl1D4RvdZq\ndaLh58VtRAzdBOaStLR5tvQT6j6yzny102KtNGAnGraTeHi7ueiFmcSpzd6OUjteP5TT6mduaB2s\nbOrm8+h9VElVS0hS0mJip8nr6bv19WHdIA7xzCFmTf6uu+7CXXe5351YT7pZcX06gJeU12dk5GLd\nupst6l4CQB16emhEBNVcNivvx4ZWsXAaRqUD+3szvIsnPMvISGNC+QCqRZw69UK0VqxbNjpZI6Oa\nDsv6GEBl5fOK0NQVoKRlNFRzwoSemE4VplbHasgfKK9taTmNtrZnuM/YEw2vtV0Pk1isFUAAwIs4\nd64B+/fL5GGA3Hd8dMcKAE8jKekOhEKjkJp6EfPnz+DC6byou6v7rrp6hXQKolEm7Mlm/vxx0dOD\nOBftolWcwMk97MIw+TnfisOHA+jsfBGNjUBjo7O5vG7dPJSX80R54fAjeOKJUu46s70B5X3Y0wN9\nXmVlOQ4dSkFX1w+jWrpRJxow5hJgauu8JaGvrwHB4PdACGWOlPtIPsmwLLfmO2dkVMcdeRcXPNkq\nLMA+Qt75Y0shl3dQlQ0utkIWXkGXJOWGU8MJ1MUxVFmlyzyP0BHf1xkB3eMOi13Qd9HNkdgSwtxk\nCzvrbytN3p5XRj8W1m2yilZxOq/tTi2xJTG5n8tOfQCyLd163lrTjqiK+sjtt3LwO13PsfrivBLP\nCRXy6kWgT3fXpZDLxSZUph51aBX12sez0OMBO6HtHGxO7ydPNHeOOZEjJB5B7yT7lzfHmI52eqzl\nw9F05h+9ALJ3fsa+sVptjrKZwNnC9ipbMpbNwgpu2uWFE9Yp4nMMs3W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MzJw5M67nDUanaH/jUomKSbRgvVT6RQcvhOVAOBUvlQ1UBS/kR384+3fu3ImdO3fGdQ8V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\nw9F05h+9ALJ3fsa+sVptjrKZwNnC9ipbMpbNwgpu2uWFE9Yp4nMMs3W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displays by default as an ``Out[]`` cell the result of the last computation, we can use the\n", "``display()`` function to show more than one representation in a single cell:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import display" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "display(x.png)\n", "display(x.svg)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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MzJw5M67nDUanaH/jUomKSbRgvVT6RQcvhOVAOBUvlQ1UBS/kR384+3fu3ImdO3fGdQ8V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\nw9F05h+9ALJ3fsa+sVptjrKZwNnC9ipbMpbNwgpu2uWFE9Yp4nMMs3W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\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "" ], "text": [ "" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let's create a new Gaussian with different parameters" ] }, { "cell_type": "code", "collapsed": false, "input": [ "x2 = Gaussian(0.5, 0.2, 2000)\n", "x2" ], "language": "python", "metadata": {}, "outputs": [ { "latex": [ "$\\mathcal{N}(\\mu=0.5, \\sigma=0.2),\\ N=2000$" ], "metadata": {}, "output_type": "pyout", "png": 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RlNQDCxb8rt0nwR050oBz59RMNPl4bX//ycaPWthhvz3brud6QkCbgcVi8XrN\nf/7nf+LGG2/Ezp07UVlZiTvuuANff/01evToobquoKDA/ffYsWMxduxY1e+0QzaDLtS+p0X2NMnV\nJ35VA2AazTzlPdkAomC11mLJkjtRUDDPY13buwAsWCCnns6YUQSXy4aLF1naau/SopFmMnXqGKxd\nuxcOh1ZqfwILFtzrsT5ayCdFJqKi5qK5+RVo0//6knbCUwQ1fd9t0C8yc7BgwYO656pPzioC8I70\nue09rU0LX0+A8+coUKN+HD06WXXK3a23DsDnn5+UalOy9y5cmIn9+3PgcCQC+BF0LgH6sdUflGpr\nB7AdUVFHcf31PfDcc/N1deR9xyioZwBMRnR0GP7t39Jw+nQMyso8axn6/md9Li6yGQDKAbwNJqC1\ntdlhtc6By8UFNtkaYJzGgSIubgkWLLjD47w12qCBbpLvxPlgXC5/QOfDTuVf8BHQZpCUlITjx7nJ\n5vjx40hOTlZd87//+79YsoQO9NTUVAwePBg//PADbrrpJtV14mYgQ319FQCn8kkthcbH/4CVK+e2\ne5LzTi4BMB90AWGYp/wDbr89z+NGEIzjIWkbrMGyZfvhcrFFjElJ3qXFCRMysGdPOf7f/xuPpqYI\nWCyRIMSGUaPGYdSoYcrZEFMARGLw4Bg899xkrwsdbfNIxMb2Q7duLtTXnxWu5Bx0q/Uo0tP1Kran\n3D0M3uM8xL4+DeA4nM5wTJ36GgYP3uw+4wKAsOAlgG/s+udq0Z6UHr70YyBHgbIcPaKGOXp0MjZu\nPCHcY8eOHW+rFsLKyiXYs6dccx1/L0VPUC2gQPhOHFuiNE439uZmoG9feWoT2nfqo1MBoLV1LhYs\nuAMAMGvWejgc2wAkAZgMwAbgGHr27IM//OEt/PDDWc1TWZ9v1nx/EqKmDmTA5QJ6987GsGHX6bRq\ndh5KRUWEsDDr0zj4krpFv0HbYbMVoaVFJu1nYMiQDejXz7uJsL3aKJ0PY5V/DMHTDALyPrS0tJCU\nlBRy+PBhcunSJakD+YknniAFBQWEEEIcDgdJSkoitbW1qmt8KQZ1zMg5w717P9Du6GJCZEwYPbfa\nvzQJ7TsekkFPkxOjEb0zJgJlDanron9nQsLDytGbvsVH+OJI9T3VdSkBvNfPm0Nb5sgzYoINHfqo\nzvntO1HA+BpPzDMZa8V7FC7954lmKT+fgqV8maN8ljuB4+Mne5hf3ueYmk2kHdMyZ65sjBm3mWwc\n07kgUkha5qAHAAAgAElEQVSNHNG+U9kZ45A7cP1PK+8P2UF2T4BLuAoBaQZWqxWrV69GVlYWWltb\nkZOTgyFDhmDt2rUAgNmzZ2Px4sWYOXMmRowYgba2Nixfvhy9evXSPWvs2AK3JOp0tsLhqENiYqI7\nKpeeiKQ1GdgBvIna2ndQWkq/8TW6mF0DAFOmvIQLFwCqCdjBNI4ePb7BypWLPO7WnpxL4q7vS9pd\n6uwVQd8bHv7/cN11CXA4spGYmKDYONVSED217GpoJR9vRwhqk4DV1jKtRJQSqRbgcAxETMxu9Ojx\nMi5c+B9dnbXv0fpRWP+uWLEDhYXUoevJ8a5Po53mtX785CytaYJKcydOJCIrK9dLmmo7gA347jvg\n22/Vzm+bzfuJc97Gnd5+TzWsvXt3Y9asepUZQ/9OO4wIFPrxoy8bRSYocSEB3CSUB+BrzXVU6j93\nbrN0fi1cmAm7fR2aJbwKcY4VFpbg0CHWjmxcMT+Y3uQbFlaFtrbtoGanbEREAFFRTmWOqiGzxefl\nbVC0wwhwzSULwEu6awHgwgXvkdXMBJyVlSuMCa61xscfw803/8xnooB83cjCjBlFGDZsh1RTkPkl\ntxnzXdqPoG0rAQCARGJQ75hquhlLUOWZsuYrTW/kyBzdO4FnSErKJK+0SCNKXVTUHNV36shjfp2o\n1fToca+BxGcc36DWbnyXngiRUdjyJX/L8sloE2d5l7C80fN8S8jnXYJXS8dsrDxKLJbfCRJiPomM\nvI/k5xdJymYksXqXvhl810i1bevtnf6XTV8mT9x9z+UR68qTqIkRwktUSSXVcyRf8796Tlutv5G+\nc+TIHJ/pupx6zjQX1m7yed6eBJjBylemf45/2QiCuYSHTG4ivcTAUVmZhZiYFzSOSkrj8iSV+Jq3\nJzY2GVTr4DlTgGScPHlOkGjkTkW5c6lE5UAC7GhqcgF4GDRdMv3Oan1bpdXExU1CePhstLays4NL\nAFSiZ89IFBfbvTCiZPQ7Cpn0VFxsx/LlpWhqYpqAHUCFcIXoT2HttwZAKZpljW7wHn05OUQ7uTfH\ne3l5BYDekl/tOHiQCNKa6Fikdm+rdQJcrj9AtG07ncDzzz+KUaPsEg1kM9R2dY6EhDjExflCIdbb\nmEWtZOXKLEWbE53csuloR3NzgzL2LdATKGifWCxAY+M5xMc/hnPnVkvLpi6T7OzhDKSkvIXkZCp5\n7t9/XHqokUgJbWyMANcyeJtUVz/pHrPqOeLS/E/fy+Z0jx4zpO90OsMRG3sK8fFTQEgkUlKM/V6E\nMMfuAACfgo/hx0E1BHGej0NsrJzoIEOw2F567bB9hAemzQcTIbQZWDX/M1A1r6HhQzB1ljEcCIlB\nWZn+SfX1VW7mRWzsKalzUwR3VIrf52oWdHnnyDYcSqkTy78ewHUQB6LF8iVcri2q59fV/Q9SUu7D\n6dMT0NDQH2zjOHQImDXrSaxbp2e38AGRqbyHLRJ0M4mIOILTp2N1m0lhYQmampiTlanSItc8E8CT\nAGKVa9YA2A86YNt/yL2//HnmjK2tnQ/gBd17gSI4neIkUjsW6+urUFbWHbKEZk7nX9z9yf6NHVug\nbM4y01EJTp5sxqBBnseUuLlUVZ3GoUMWNDW9g/JyHiOycmUWhg0b4hYEKGTv3IaLF4tB2/9Tdx0p\n7gPQC8A7IARoagIuXXoAqakzkJw8WFo2ZmKgJkF9eycn98PWrUvdpkcZ2MJXWFgCh+M1UPOqum1F\n8516jjDzXRIofftBMDOZzVaB+Phuks3ArrQhZxidP08FM5kTdvDgaGVdOAl6YiJzdFdDP8+BqKjt\nhs/SUmlrahwe2UK+OoV5mzC6vIzwYMfu3QdVJ/AB2rMNQsSBHCwAEFRS35xl8rN0S0lk5J0kIuKR\ndqlbejPBEmKxyFVuI4eVaOZQRyEaOdlkaiJNodujx93Sd6enz9O9W63+M4fgeEKdrcZtoE6NIYvm\nvJ/Q/DSsHWTO7Vxitf7Wa/qGQHIXqeu3iKjNhLkEmCV97rBhi4T7J0vaW96f6sRo4ph4QnWfr455\nTyYj75GwWqev1rQjb9OYmPFeo9Y9OfeNzVhq0ww3dXhvW3GOpKRMIlbrw0RG2OAkBf6d3MRqZDpi\nKVieIPysChaFr6+PzfaopM78LAFjU2IOsVgmkujoKWTkyLkkP7+IjByZozMPe0u7weeFb6m59RHO\n8DoGfUXwnhQA6GZg5DPwPND0Xn7/wvlZIi3emf6nV1APnHyDOmgXYLHO8mRs8fHTvbzL8+QxTo2h\nLV8pAe7WlG2G9JmeUnSoy+c788I4MZ22zZYQQG5jZn4WumDlEF9TIugnfS4BMqX3yjZnLTwxlWSL\nR0LCTJKePk+SkZPVQ2xDWZ+UKkn3vNugjXw16g2RHzDVo8fdqhQNxguZvm3FPuXCjvEc85xLiM0H\n47Q06vIVEWCKpk/zCUDXDf184OPLYqGLvXoRZsw25iOZRICZBuOT+rGMNgQ+PnzzH+mztMLrGPQV\nIWMmGjNmB+rrT8FieQeXLrnczJnq6mqpOqs9Czk9fR6amtaA2gX18GaOYKwHnjrB//QKopng00/L\ncfHiUMkbM2GzzVHONWDBdAyXDErp1H0jYxicOJGI8nL93fogNZbqQmsO2ABuHmL1el5aora2OoOy\nUuh9BTxCeeXKeT7w+EVfiBiJyuz/s6E1jQHH0Nx8CcXFdsUEOB3Ay9BGlcsC7/QMqGqUlcVChsOH\n5QwxEXIbs2j2UJs+n3vudwCgxGiI48AFQOvbkkwMlICQdfAlal0bJFlcbEdWVq5yngEzHXLTTEvL\nXPd13HTH+sPYbKiPVP5WuUq+/MTGJrujyz2Zq+RBX3ScT5iQgfXrIZzdzSaEaCayw+EowtixBfj6\n6+PgpkQeO0EIUFYmppmwg5orR4Iy2+wAvgI16RYI13D/VG0tMGtWDhITN7tjdljQIE/joY6dsloP\nwKUaOnRs19d7nm8BIWjbSgDwVAxfuOpbtpQqDBdtkjnfdmcGuYc/l/TsOUNi/vFN66BMpXuJVh0G\ncsiUKU+TkSNziMUyRfPbJMn1j5KUlEk+tafc/LCExMdPJ5mZS0h+fpHKjHDVVQ8qaYKZpDNRIpk8\noJM0KeNKznRikqA+5S7953v2S63EVErCwkRtQDwiVa+i5+cXCZoJM6FNIFFRD/iUypubmWRSWrbX\nvpCbICdKnzdyZI5GW9BKqtqxPYnozWTZhGsS8naXxTKoy+k5fkDN7GOaw0QSHj6eDBu2SGc21Jve\nRLaP8XySa5W0DaOiphmy79j7tWNczZQqVc6yENs230O5RM1BHA85BJimuc/7GFa/W7++6TURo/if\nn6BmYOR48SXnD89hwyKJtdIj3Z0XLfJ8epFeiqNSxOjRlPEydmyB9D6t1iHW5fDhFlCmRTbULIbp\nOHt2O/r2TaBdqkJ/yfUPIS7uHe2F0nZTO+y0OXr00asRETmIjo6H08k0nhnQa0aJ4A7w0wDqACTi\n3DnonNP6BIAMnFNfXl4hZUjpHc36xHQnTqQKmg9LLpgAWXTprl15yql521FVFY5DhwaiqenPaG6m\nEp+3MUHjQ2KglXyBxRg0KFp6j7ZPpk5NwgcfzHJHwxJSILnLrvzeW6iHmsceH+9CVdWjcDqnKnV+\nFyxtisVCEBPjQt++0Th0CDCKWq+vr5JGR8fGnkNlJdNOjU9/q6o6jcrKJsg0h4iIuXjhhUm6sbB7\nN4uLYJL3LPiiUei1yvtAHcKvobkZaG6Wp6QYPTpZV8e4uCV4+ukkdx4wHlMjkieYBiJbFgeAxim8\nBzo/GBoApAnttgQ0vkGElrxQIpSZpdqYjPBwIC4OmDp1DEaNGidoNdrIcICNCRnzym8EbVsJAAB0\nTqP2RM7y81VFzrPcCdu+w7fVTjW5E1QdK8AlUVGikNs8x4zJNzgb1liq817exW5nVnx8NrFatVKo\nTOrRajzamI5HCT/sxLstWu/UNo4f8SdSW649TBf+5nx3ZhP29dna9qX+F2Yj5rbmyMj7ffAX8Xrq\nSQUyydOo72kU8NChj5KYmDsNz9tQkyq8SZzqdoqOztY8T64F85To3qV6ruVo61ZEgN8KY2syiYiY\nrDvwRq2pG6WWLyW9e09WOct9ISvwZ2sP9ZH5HVlbsnksts104lmDk/Wptl6e42+6d9f2DV8PgrmE\nh4xmIEZdss//9//O95h8i4FTQ8V8Jlo7L5VKd+2q0kWgMhhpIQA0NlLOH9fGCnzyyWSBuw9QiWK7\npMaUO9/WZgG3NTJNoEJyvZ7LbBTFuHz52wINrwBqyKi72vww2aC00pdA2zUXwEOgdbfAmy1aLd2z\nNjbmUe/ZU47Vq0vR1HQJzc31sFofgcv1qvs6LW311lsH4JNP5gjnSGfAZitCU5M+T86hQ3PcGog3\neqt2nNXUnFVSO28DlQZpP4aFleOZZ+TJzYziKeLjZwjf6P1RnI4sp5eeOzcP587RNOZGMRDMVg5A\n0YTO6KLWafJAsZ3ovLh4Uev/yNaVMTV1MWy2RNTWej43mp/zzbQ1RkW2KH+fAPAYaHsmIiysBvff\nfzVqayNU0elqTb0EcvplBhIS3kJtbbT7XGxP7cPAny2OCZaBYAMsllmgvhf2bqbl2kF9d48AeBVA\nNPRnO7sAzATwhvK9tk/Fz1p/oRiJPAT19dVwuVqk9Qk0k60OQdtWAgAA6c4XHT1FanONiprmtvfS\nYwvvJNR+yuzGWhqeKJ3mEGAysVjuJykp07xSIvlhOqLNeSIBppDw8PGScmulABmlrZRQW6/M1m1E\nj+UaivERkDKpRCvhaaUeI6YNlbjUrJZSwm3SesnV8wEfWmmISqXduv1KOWJUK13lkqioaTppUS35\nUkndZnuATJnytOY4Q3U0rDd6q4ymbLHcryqPloEiGy9Gx3LqmS/0mfHx0zV2eC3dUmaH9v8AHHU+\nIe28MGY2iXZ4+biiz6PnhjNbvrbPmf9Mf5/+MJfFGi0737Deeiq2b+wm+mzvjCY+/sW+YWNiAgkP\nn6mqCx3PRYTOqxkE+BWJiWFjfAmh2tDDRG3NMNIUPFNig7mEB+9JAUC9GYgT+U6NWmt0VrHIAy8i\nQBZRJzVjDfowUVPClpC4uKk+qPuPSu+lXHztQNIOLjYhtGk09IsfMIFERj6i+k5cEPULlswck695\nv5aOWErUi81kImtbi2WmAdXQKJmeuIh44oprr2ffy80SWiqvkZlj5MgchYKoL09ExAMeEuw9I0kG\n5zntg+cT9YwXF28n7vFEg6J5ji10oqnxacKFCdYG95ApU57WlUnmKObpRGR0ylxisUwxPKPY2AxV\nRNTzw2hRlplMPccSZWXlCgKZflGMjtYSMHyjMevp5PJrPW+A6o2DChxa6ukSYrGMEeY2LSMlQmjH\nnZGJSS6QBHMzCBkzkczpCwAVFYzSpY8grauLAFWbc0FNGixKtifo6WEsAVeVcr8F1Dn7R+EZS5CX\ntwEAdCYC7lCrA9BDdy9NyatFJiIjH4HT+apSnr3K9yKlrQCydMFAruDE1acQ1p/kJZobRFVWhCzV\nxnC3Q/azz1rhcmnV3FZ0716rSg1NHdIWUEdbDqhD2Qpq0hLNP3Y4HImIjv5GdXjI6NFjsHEje4ZY\nBxtoP8lomtSpKlJ5KcVPbw6qqJiLIUOckI2Tlpar4XCI/aant6rPXhAphr5FWuflbVbGi3gPNcFE\nRR0DEIOpU5MMDzKaMCEDiYmb4XCIZV/vbgcaPcv+PgJgDMT8/gDw3nvcJKan6NrxySdFSE1NhMXC\nKKlWyMYhIeq01TKH+K5d3AwVExOO48cb0db2d9CxzcwgsnMMqtHUpG09+Slsu3ZVgZASJfL2DuHU\nP/WBO4WFdlxU5Q+k5bZa78IvfvF/dKcb0nTuDSCkGwYPjsYf/jDMsF8AMTW6aK7hZIgjRxqwdOkd\nQgT7BmgJDYRMhtP5F1UZ29p2gCffNIpEdrmvFyOnk5PztI0YOIK2rQQAAIQ6lGRqvCfH2gzhN9Fp\nLDvwOp8YUQSjo8d7MBGw58nuLdUd9J2QMJPExU0lnPYnC2SZqNnxWfnkJgbmODZKihcfny1QOLVS\nkWc6rBFdVgyoYhJUePhviVoL0/aLZ2cYfwaTJB8gwJ1E7pA0chgaOy+plCdTu+XtapzgTlsnKpHF\nx2cbSsvq9xpTXT2ZJfWH0ucQKmGKmqSomRr3q1zTYX8/rHmW8ZjzJdUyfRd7jpG2kU3S0+dJCBba\nIEnvDlVtkFxKipz2rE1AR814epq3L2QVdQp94zIaU5Fl7SzTuH2JROaaSzCX8BDSDB6DeBYwBzs5\nSJakjIkYLqgDpWJ0z6AOzCjlM9/VAReamohKggK2gZBrhftjQANc1PcBmeje/Qz+7d+4VHH6dBTK\nyl4H1RpeFZ4xC5Ry9goIWQPqPNNKuFqpnr5v//7jyMrK1Rwuw0CPgCSEoKSEfubvq1bKrZZUw8O/\nxv/+bwRuuOFxNDae0jjLgPDwWbjrrnQAIk10utKGJVCnApYdjsLbqbLSgoULV8JiuQ6VlSwYSsxz\n9AcAlQDmasq5DVT70CITFsufQYj+l9jYZAwYcEihVkJ4z0Do+24ADh2yGCS4kydRu/lmeSpw+fGc\nF+Br4jEGtcPUCqotbQYNpGT3vKbUx7MzXO0sF/uFOfKpo1RPHqAQ8w95O/iHvkvUBljKaCbBH8DT\nT48RDohag9WrJ6Op6RKczlbExHQDwAgB8jGUl7cB+/atkwYpNjbGAHBA1Gzj4o5h6dJHVddlZ7+A\nhoYeUB+So86jpNWCWHDYoUON4E51YxLFwoWZ2L79B8n4FE/hY+PQIVgRmGaq1abU5zNr08AHEyG0\nGchON6KwWo8iOvoYGhvVi1ZcXAsuXJiN1tYRoLnYRyi/6Bs0Lu5l1NVdBO2M9yAuaG1t2cLbZCaC\nTABLQdV2cYFaj/79be7TqQAIsQhibvkM5bls4SkHcAeAPwH4u3CdWG79Gb4JCTlISHhSxbwyzkrZ\nH1xVtYNvRlPQ2kpw4cIyhaufq7yXT6TW1unYtYsyZ9RnT88HZ5GwQV0DnnDsOGQmnMOHJ4EQ9jkT\nwAoA/1CutSrl4nxrugj+AfrIaNqWUVEvSkwNlENPs2gytbsUdOFbA61JBbgXTU1i2/MEdwkJPXHo\nkMhW0puHxEWDRq/mKO9NAt2AxCSAfBOqqPgBWVm5OHGiRndmhzo+xAUeYcuEGzZHMgEUStqGL+L1\n9aeFb8UTyVi52CanP+9brKsvCQbpJqadcxsAnEJ0dA9cc01vHDhwFH36TFYYY73R1sZYWstQU0Pb\nyWabDIslAo2NcjOgLC6FJ8ujx3QyDB4cpTt5rqEhFjRhpBY0IdywYbOVyPA/g22WJSUO0DGfC/WG\nLH/GihXhiIpqlIzPTISH/xatrdeo6tW9+zQMGzYfhw/XKjEDapNt797fY926eQamP0C7KQWEoOkY\nAQBguYm0J1kxzzz/bLM9oIpynDLlaRIW9jChuUdkTlnOX87PLyKAjKMtqmZyEwGQIVFFF+sicLl6\n7olrzMwWMmcaNfsY5V3R5m2R5Zrh94rPN4qONI6BIESb0I4QanYSWSjMkf47YmzC0arID0nUZNF5\nOo0YsSgiI+9XzHBap/XjGueyUUQpK/MMyXf5JD5+stczFowd+UWEx2N4Y5F5NoUMHfoosVgmCM9l\n84CZjmTmjsfd45xGlMsiimX9U0piYsaT+PjJJD5+uioy25fYDD3DixEuiFD+WZr3y/rkUcLNhp7f\nyWCUt0iMyeF1mC55tsgQ0pqBjExt3iOMw8PVkeEJCY8LZz/o6+VLpgV5XyCgtVdECGkGovrKpNSv\n0Nr6nnBNBpqaMpCUxM+KLSwsQVsbS6OrdYQCKSnA3r1UwpwwIQP/9V+fapxNADU9zAIh06Hm+HMT\ngdVaBpdLndcfsOHQoXoUFKxxq8BcuhsDtcQlmgBYzhnRnMUlyLCwNiQmJuLcOVGq/AYAwf79kYiL\nO4DHHhujO5dZnYZZdDoCXAkUHbXaaziYhEmlPnGYZIP2FZfs+Nmydsj551qeNXPEsecyiZc962fK\nb3rHdkSEC3V1b4KPExoNfeFCGJqbI4Xn7RDey94jSpy5mu+yAJTg3Lnr8NvfFuHpp8eoND4RetMJ\nk4rPgWqndlCzxcsAxBPhSkBNh2LeINrHlZURmDGjCOvXz3e/t6BgDZ5//hE4nRGgcR55Sp26K88V\n50orEhPpUWDLl5fC6fyr8HsNqNlKLKsYnfsyGhuT0NBAHZznztHI7D17yr2mbAagim2g0b11QnRv\nCajW/g/lau04FNt/m1JP4xgGBuYI/vZbz2YudQR0tKb+zFzLNERWNvH8AwY+FiMjv0Z4uKg5amMF\nMtDaqj6fefToq7Fy5VloNUUgUxMfYuzIDvb5BVqE0GaQCG7HbAD1B0RKrzxxgp9/xxtoGGjSsrXK\nZ3owDKA+GCYysk2yGWQgMrIAYWFvo6lJXMQ5G4ROSICaL85CtAcvWzYHAN0QxIlRUVGLkyfvQmRk\nT4SFnQMwGw0Na8HTG2QJ//MFqbZ2CGpr7aCDlw3avgD+jNZWmlpDfKcWdAEXU3Mws4OWlcIW9RxQ\nO2gDgG6wWGoxevR4AHRz++STIkHtzQBdiERz2nHhN5mpT0zKB1AmzCOgpiwGdtiKFZRhwUxEahZF\nZOQMXLzIJtQPoH6id5Q+FX0uoumCxeyLk5b9ZoGWxdbUBCxfPkd18I0Io5QZwErQgCSWpkGbNFF7\nZoc+oZmYHqOgYB5GjbLjnntWKYwvFgAobqK8fE7nbMyYUSScUyH+Pk/4DmCbSEzMHjQ22jRMF23w\nojaZnv5QGTF1DBdGWN1+J1zJNmg2DmWHWsnNxeICP2vWejgcDaBtrGUszcbo0SOQns5SgAxUfskG\nNRHfA5raohXAjZKysfbVCkq0PXv0yMb69Q+6z6v47rsLVEbXLPQJCT2xc2eBEIQXAa35C1iC+vpT\nujaUQW36Cz5CaDNoALXJs3NZcwEclF5ZXe1w/82dbidBpQruqAXowTDiBBs0KAbnzmnzzDwMl8uG\n1tYHQTvrQWjzoPDoxO/ApRza+S5XApYt+wgA8PnnJxXnE8GaNQsAUEnyxIlofP/9MVCb+CXQDSUM\n9JzXFQCegnqgiAeGMNu3t3fy3ET0bFpx4teA+iieAD+Zii0aTlBpnEpkhABr1z7pXgyffrocy5eL\ni3kM1HZoNtlYdOZcd/sDQGrqVkydOlxF3+vVqxf+8Y8yXLzI/EBsoLNo8nLIbNmENCuRuFnKNaL9\nVsxq6gCwCXSzcCh1FqmBov1X3NioMNLU1A1TpryETZv0eYv0k5ItAk5QAYb1m5bIwDZkpn3qabCy\nzKI9eqwRctAYR7RTe/cQqDUxVrZWhIXlKFo0XdRSUxcjNvYqlJXJTj0rUUV4a2nODLLsAFwYYXUT\nDeisj+KgzuOj1T6NKb30jGOAEkL02mPfvmexceMJVFZGQn8yXDlo1tFI0I1AbCtRQIBQRnVOqoSE\nnpozkftC5is7dGiOshGwEwW1hwDZAVhw4ECjYVYEhoKCNfj22zOS8gQRgdqZPvroI3LttdeStLQ0\n8sILL0iv+fjjj8mNN95Ihg4dSsaMGaP7HQChtmit7f5RnW0VeEYVAcptbZ7swzxrKQ/uYb6AHBIe\nnkPUdD0ZrZHZg2cI1xhlImR2QjH4Shv8VUSA35CwsN8Sq/V+iR1StLNr36mNZNTbnuWUUW1uFdbm\nvtmFmQ195MgcEhl5n6a9RH8PtR1HRDxEUlImk5Ej50rPf2B00+jo8YRScWUZKtWBd7xeNJJcX+4i\nge4r2vC140u09+dL6sD68AldmXlwmHYciBksZWOE2c6NAgRpv/bsOUPVVvyMbnaf/lAYTs8UfRXa\ntswhwO0kLOw37kNZqM3dU64nvS1ezAhqFDkcESH2jba8pYRG8ot0cFkZeIS22Ad0vBgH+PHALyO6\nr0jPlfl1fq1kAFjiLgc/TKlUFY1NKd1GNGhWFja+pgvlGK/8z/tdzKygnSM8qltbnhDxGbS2tuKx\nxx7DP//5TyQlJWHUqFGYOHEihgzhgRN1dXWYP38+tm3bhuTkZJw5c8bgaVrpxAVqGlEzXYBkOByV\nqqPg+HmygDcVfOXKLKxbN0OxbwLl5RcU+6aofmvzoDCK4lXQq7cMm1XZE2nwVQO45NoANRPnBIB/\noK0NaGsT381wWriWBQmVQG3SYEwgdr8LlZU0Q+fSpdlC1kMKHvDD2toJ4BiAFMgg2mhFFba42I6c\nnGU4dUrMxb5OaA8qSba0rMGRI3vR1sZMMyzw6X8QEdGA6upYOBxMC2Q+h+2g2tIEhIWFoWfPXhg0\niJ93y4PDqqGXvAGgHIQwdkkpOMOsH3iAD2+TiIgDsFja4HS6QE2V6synIu0Q0LJX8kC1183KZ0BN\n1eRSa3T0fly61AaX6x/C7yJbyg7GVjt/fhBKSlzYvftlDB68GU5nOCIjD8Lp/BbUzMGu54yTxER2\nhoVI7RT9cNtAz3XYhra2Zbh4kWZttdkmQ21O1Gp7aqiznrJ+46isXIY337wPLleb8O08sOyq4eEE\ncXEWZGYOw8cfr4fDEQbORmNaHTsG8wAWLtT7xqiZzjgokOZPKgHVdhlERl8BGL2YsswehOinnDIl\nHQ89NAF5eRtQUbFJ5y9RZ0VlvkrRN8ThctlAg163gWpBzPohMv3ofNZm0gXYEZcJoMGjDETzf3AQ\n0Gawe/dupKWlYdCgQQCA7OxsvP/++6rN4O2338Z9992H5GRamT59+sgLYt0Ll2uE8A0701dMqLUB\nQLUqMRw7T3b9+vnK4sdUPLkKnpc3C337JrjV2sTERGUTYbEIAHfuAHxRYRvGIFB7d5LwZG0ErZbG\nB1CTEIO2bOzdos3xILg5507QCZOgufcwRF8Dva8IFRVtmDCBOiGZXdPhqENY2EVcupSDtjZGj00G\n3RFREKgAACAASURBVHR8P+Sb2WtPnboJ3BZvF64QKaenlahU3ibsLGD1QqK1gdNr29oorfbcOX44\nyJEjZ4V79IkD6WIstr94ALvWpFAFq/Uc2tpaAfwITjtU236rqmrcteP+AlbWAnBhYTr0h+hkIC7u\nL4iKSsXFiywOhj0/TrhWG7W6BnV11SgrW+P+rG5ngG6IDaira4PTeUwoF0A3VUZvltnlKZqa5sNm\nextNTWxBFDc3ddvabEU4eLAVDQ1MqJEtH3YcPkxAyBOa++fBZvsaf/vbQ+6NNT19HhyO60HH/3YA\nB0BNeq8pZQM2blyi892Eh0cJB7+cAjAFQCQslhqsXPkfKCwsQXk58z2JZWBzlPmTmM9sO7iw+STO\nnt3uFn6Ki+06py4nENhBTb5LIBdMAKu1CUBvpQzzQM+s/iO4P8nYVEgIi38qADcxan0OwTMZBbQZ\nnDhxAgMHcgkiOTkZX3zxheqagwcPoqWlBb/61a9w4cIFLFq0CNOmTdM9y+V6CuoD3Wnnh4f/JyIi\nxuHSpWQQIs9Zv2oVZxfR3XwumptF5yRfoMrKzoJOOorIyCPKX6Kdug/U9kO2qIsDSJTqtFKILDVE\no/C3zAFZDOBNULaJHcAhUJ65yGD6CMD/EepUD30KDzuOHXsJN9zwOAYMiMGttw7Axo1tqK0dAbpg\nPQi68MwFHaTZULc7hewUMIBJxkyCZguGRam/lq0jxmSIg94O6txnYAOdLcCyFBcJSqoG9k6Zvfgr\nUCKB2P6iH0EcW3aEha1GU9PN4BNVPuHEzKf6My+qhPLmQsbyaW1tgMOxETzrpbq/aBkjoNYcRT8R\nQMdmmvA796+1tgIXLtgRHj4bra1rwTaqyMh74HQCese1iAykpLyF5GTKBNq/v5uE734aFotLsXsX\nCPfKhIgSEDIcMlt+Sora/xIbyzRU0Tkun9+iVkrIJfB2FM9ToEFmnPTAyspYZ0zbZtoTG59qSdtI\nI2bg2mkJeNobNqemgGs2FcjMHIS//71a8TuK1g9mYfAWx8F8TGzN0Z9pEiwEtBlYLBav17S0tGDf\nvn3417/+hcbGRtx6660YPXo0rr76as2VOwC0gS54n8Nq7YPhw/viuecWo7CwBCUlTL0DjAJ5Ll2y\nom/fBEycOACrV5cqEr84+WaBLuw86tTp3AdgEoDr3c8LD/8CYWGn0dIyFdQRmqpcL6qDPcAdpVop\nhDXrAHDJrz94WmjZJIoAj1hmm4s2ve4w8E2oRCmXdpHdBuA9lJcD5eXAzp33wOl8EuqBxKTvDbBY\nNoCQGaCDeQosFhdSUrpj6tRbUFhYghUrdqjShsvTU78GqsWI7xC1K/aZlXE9aF8zMHWdSdMFmrbR\n5s8pB6Urss+sHDNAJ7rIGGKaEzU/hYXdhYEDE9DQUI/a2mvAxwLbFPUTrqnpz8jLm6UQAWoEZpQd\n1KTFGClylk9Y2O+E8sgm9EDQjV2sr6hVMs1zGLiwojVpqemMx49/g6NHWQDeOagd12okJ/dzC1NZ\nWblKJLtYj1wQwt4lc7jyjZOm4v6ZcD+rjxUOR52K2affWL0HuBUWlijjuRDA/6e6zun8C1atysOC\nBXcgMdGFw4dzFJMh22hYGnZW3hfAA0mrQXOQ/Yh9+5pVOZ7EXEa9ejWjpkZGjWYBfHwcNzUBu3cv\nwYABUKLiT4NqBuxe0VktatR1+PLLMFgs50FJD4zGnQhgp/Iv+AhoM0hKSsLx48fdn48fP+42BzEM\nHDgQffr0gc1mg81mQ0ZGBr7++mvJZlCg+vSLXxRg5076Hd+JZZKbHceOncKxY3yB/+STIsTEXFTY\nE4lQq4mi9LUNwH+A2mH5xOrb90nMnp2GDz7YgK++ugRCxEHfAC6RMAlwv1B+pmozvwBTv8+Dc8V/\nAF08Z4BNFItFDGFvAN2gtBG4bCGcBLoZadMSaFVOO5zOWFC1n0lBPEYCOA2rtRkxMa+AkEikpPTC\nXXcNxQcf7MOLL36jspWys57lp8Gx1UM0hWmjUtl9JUpZMsET3v0INZ1QtkhoNYenwTdXhrNKeV4W\nygYwM4DVehLvvfcUAGDq1Negbjt27SvQTkzAiq++ihIWRDsiI8eDkGS0tIiMFLm5jZoK2Du0tmXW\nHuJ5vtqNlAkHJ0HH02sABkvelIFhw3bgqaduw29/W4HWVhZ9vQ90kRJPAaT1Cws7ie+/T3CzWXic\nDDc9qsem2Ke0zWy2yUhNTURERAN+/LEBzc2ZoH1zDzxRZ2kCuPVwOLRjRC3s1ddz9iAVRoxt9FVV\npzFr1ntwON4Fm58REYcFSjk3KwHNoNoVExooLf3CBWqW7N69CMePAy0taaAmwA2oq+uu3J8DfXLF\ncmhTXVRWLsPIkbOQkJCjMKCqlXtdSj9sAGUYpoFr+WuVss4T+uoMaP+PVf4xPCttB38Q5v0SY9x0\n0004ePAgjhw5AqfTiXfeeQcTJ05UXXP33Xfj008/RWtrKxobG/HFF1/g+uuv9/JkevDL2LEFSk4e\nUb0rgvYIOS5RM7v0fNTUjEBb2wyozRFauz1zsukP1tm1q1o5kvJxqHOt1EItpS4F8O+IjHxU+DwP\nlMa5TPPdNtA0FNeAmnveBnNo8VxILBYgA5SPP0dVtoSELxEfPwB0I8iEWtrT7u0loIO+SnmmmBPo\nYQAj0dKyA+fObUJd3XqcPNmMtWt/RFlZgmojAJi6vh0LF2YiIaEadEFgGABq4krVfPe20G41yjut\nQjl7KvUXbfW54CkuGJgDjmmHQ5T2uUd5dgGAPHTr1qyUq69QPtb+Tlx77QAAwKxZ76GuLhr6xTsD\nNLZjG2jb9lHaarAiYbIylsDpjEVLy1+g3vTY/xypqYvx2GNjkJrKvtfalhuU9mAHCkF5ZguobwrK\n75mgzv4M0L439vMUFpYIsQYnQcfan5V7k0D7hdavre0fOHr0VZSU/BGLFm0DAEydmgSbTTs2Wd/s\nAF1Q5yM+fgaysrbjb3+bjxdemIT6+v64cOFxUGn7PPRzlY8jgG4I69bNwMiRpxAfPwXduu1SysXK\nRwMev/22DgUFVNujwogYL6PGsWOnhHQttO9bWjaire0MuBC3SSljD6gz/jKsgcMRgUOHeqOl5Wqh\nzRLAKdM9oZ6fWr8h3N8fOdKAurpToJv4DNA1hEn700H9DsvAAy8ZWsHH/VpQ+rl6PQgmAtIMrFYr\nVq9ejaysLLS2tiInJwdDhgzB2rV0h509ezauu+46jBs3DsOHD0dYWBgeeeQRL5uBHcCbKiexOieP\nViKQScaio4xJiXZwu70dLKLXKIdMVVUN+vRJhFa61J+gBgAZuPrqt5CczB1N33/fB0ePinWizm+g\nDMCHShlFKYJJU93BBxkzReQB+BGpqZGIjY1GWdlqcM1GvFYmUUeCagHzwXMCiW3FwX0BBZI68pO0\n1q2DojpTCcvluoALF5itnEl5TIrdDn5mshXAbgDpUCe8k2t8QCZiYmLR2NiItjYxKlWe1jcp6T4c\nPboPra1WcC2MOQbHITl5O/LyNsPhYCah76CNZbBaT8PlYgwnVhYZQ405AI1NUdddl+COIh01ijoi\nKyp+QFVVjiKosMDIEUI9mOboAo0JYZpmAbj2xMgVcj8P1aSZAKWd4ieV+jKGD4fouBTzMunNeHYA\nf0JsbB8QRWXgOaxKQDU0ls5aPa9YxC2D6KidOvVlXLpEQMcNJ0Y4ncOwdCndQG69dYByhrc2lboL\nCQknceFCd6Hc/N1NTWHQjnfqwBfbiM3Ts6D9uw507BwEFQoKlOvY2M0F1/wPgvt0xPfTU+q4RYJF\nxzMt/21QM6O4mbBynAAPomX3qlNzb9uGoCHgoLM777wTd955p+q72bNnqz7//ve/x+9//3svTxKP\nfBRD2a1wOBKRklKBrKw87N7t0BwCLbNLi9VqBbfNPQlgGqjKHQXuOGSTnKvGFRWnMWiQqN5D+Y05\nr9QDXLS7AtT2SjcDtbOPLyKypj8PTiMV6W4AMBdpaduFiSRuUgRW611ISopFdfUjcDqnKeVjDBkW\nyS0mz5O9n32ndejSOjJ2kUizPHGiBj/8wDZZcUGrEj4zKawB1DfyHaiELJpjtEn7AGAgGhoSlWeJ\n0NuqExIextmz3dHaehW05gmABy1NnvyK8s4Z4NGotJ0tlq+RlNRf6TexfUQTF4sIZzu9Wljo3fs8\n1q9/SuXwZP6s+vpqOJ0D0daWBk5p/AZUSBBNL4wqLLKrnoQ+GGsDLJa70b17NK69Nh533TUUhYUl\n2L//R/Aod61fz6qUvw4yiAs1h2j+YNrl33H0KHD0KLB79yTU1TWCCleM/QJwjU4ecSsGrO3du1vJ\nKDoEego10NZGo8ITExvhcm1Q2oRplgxPwmJhrCqtcFEgXMfGHfPTiMIIo3Ey09xBcIFRG6Es9lEB\n9OwlUTgVCSZioOyfld/Z+9h6AaV+WmTguuv+x21Ct1j+KLnGPwS8GQQP7OxQlpZCPYhOnpyLwsI7\nQA+5EPnzmZLUw+IGYQMdWK9AnQPncXBqmDbXDh18VVUPKBqJuLgwJ9GD4Ivln9Cr1zWq2qgPhBHZ\nN0y91UrxjJmgXQg4mpt3aGz2/Jrbb6eOs6lTX4bTyaQ4u1K3Hkr5xYVBZmZg32klQcBqnYNevXq6\nM27SaFcmwYkLiMgMAaiEA1AHuuivyYO6j7WpG0SqZa5wH2vzU+jR4x6kp98opA6PgtrkR1kkVutJ\n2GypKCwsQWPjefBDXURzAg3paWhgBxbJHKUR4EwfkTpJ62yzzcZjj2W4He/19VVKLAV7D2PLMIly\nG4AblOdTBz7duFugj/04Dx6DkY2ICOCGG3rjuef+XZLR0q60NbNJXxDKythPWp8dBW3LWuEbRtdl\nf2tZTmtQV9cP1EnN+pK1HYvGZpIuTXfy/fdnUVCwRokSZgJYBDgV2AqeOkSU7l04dIg5b8X+o3A4\nXkJMzHio04yw+cTMqeLasgbUFDcN3LFfIJThNlCBSpwXD4DPI3GMyKjLzJ+qJZiI4wnK53WgBJci\n6PtGLZhFRMjMUYEjIJ9BcFEAOlGOQmbCaG5+BatWUf7vypVZyMrKw9Chs9G7dxHi46tgtd6FyMiv\nERaWA7XtNgZq9ko/4Xu2AMdK3+l0/hWJifWw2V4UfmPmD9GG/Xe8++5hpKfPc/s5AGDlyizExx8H\n33M3gzvxtPZldo3WD8ARFdWq2OyfVH1PzQN3oLCwBHV110PkuFMzkkMpv2jj1Nu34+K+U3wfJ6F1\nhLlcD+K9986jpOSP+PbbvkLu+SxwrrX4rCNKORtAN0OxbTMADAVfKHKVMjLYQbUFvuFTk8B64ZoE\nhIf3wFNP3YatW5fC6WyF2mabAeqf6QOX6x8oL38ZJSWZIMQF2r5yOSghIU6x74vtkwEgCxbLF+BM\nnwxwf0gBgDx3GoSSkj+itLQAZWUJqnTjaomStV2FUi9uy7bZWjXvZ+N0KajZYDNaWjajb99eKi2N\nC0gZoOM7A9Qm3QOUdns3qOlhCGT9HxU1B716OYW0B+zdzHu8GXqW00egY0WkETMWHUsHsRpUGNgM\nYD2amv6B55/fIaRG/yOoyea0Uq7PQPvSDvU8SwD3S8n776qrBiIhwQGqcYn3zlfKJKYeOQG6EWwH\nXwqZD6hCab9e4ONvL6jWIJvD7G/moyqAzdYsPFMcL9TvEh6+R/ld7K9YpW4NwnvFevwR1dWxKC7W\nxpwEjhDSDNgO3htqpy+HqMKePl2NysoINDerJXoWHNOvnxUNDdkIC2tATQ0BTTAnqs1sNwaouigG\nkdHnACX49tujcDrFQDk2kbWsnatRVsa/Y8Fwo0YNREkJU0MbwG2FRaCL6F2IjIxCjx5hChVWjHcw\nyqd/Hmp7eD3eeqsYO3YcAl1kRcwDDeZhf9NIUGomOwib7W5ERsajtfU0LJYUOJ0PQJ+vnWoYlGfO\n2kBsCzEil5Zp8OAoLF16DyZOLERbm5YN5AJdKEQpzQ6eMC8C3J7LcAzAzTA6svSHH06CRxszyGi3\nsaCboiy/D6VZLlhwB1at4sc6JiYmICKiAYcP90Fd3RHQwEO9Ge3ixQOorTWKpRCpnS7QzW49qBmP\nHwQDfI177rkGu3eLRzxqzWQU4nw4eVK0N9NcRFSKvRoiFz88fDJaW0UpdhZ4gsKTePfdnnA6bwOw\nBXTziARdEFlup17Ce94Dna8Ad4yLLLoCUE1YpPBSOJ3MFMPaqxlUg1kNqs3/DPp5xiRsGZOHIjm5\nH1588Q7cc88KIcswaxMCOregeXYGeCI/5gNighMT/LqBB4wxUE3Nar0L112XioiIBlgs9BAamn9r\nEN57b46iQasZWKmpizF1arpyFOwy0DnJ6tUfnESidSrro+KDhRDaDMRGvkv4m0+68vIKQb1kUoc2\nqpKmub7uujyMHp2I5cv3Qx2gtAFUNXwVnB7aDLU0zhcpp3My1CwZpkKKEKUNWlZ2OtPSpdMV+hxT\n/9hk4YnnXK4/ISamOxobGX+d+jEYZS8pqYfbEZmVlaukQ+BldThWYtOmMNBJJKPnicyLecLz30ZT\n05+VFBViwE+JcD1rC1EiFM1xrC3UZq3Y2AIAgNXqgtMpsx1PhnpCloNKZ+ycaTY52ft7Q72wU7ND\nWdk5TJq0ES5XKvS+BBm5YBZo+98Bow1XFmiUlZWLsrJMUNOE3owG3I+GBjFQaBt4gjats/9BUGf+\nCPA25+/7/vtZiI0F4uMp5be19QIuuBP18n7du3c30tPnoba2BseOtYDbmxOVf6egXUhaWyG0UxZE\n811TUy6o83o/KMkB4FGzZ8EpwSx2YQ1oP9pBNTsWyMjeGQPu4BXBzKXimOoGOj/OgqcOWaO5j427\nnqA+H73f6PTpKCU2JkaJUtaanJkZUCwTMxeLz9uO8PAT6N59JXr1isKJEy1wubSJDmmfXXfd4/jm\nm5chgjrEX0VTUzdQE3UjgAm46qoBUmJBc3M49u2rxYULT4L2YZNSHlkSQSPfTmAIoc1AxFPKcXDT\noOUpL18+GU1N4olb8ipUVZ3G8uUHFGmW2ZyZ1L0TdFE4AzqpbwC3B14DNe/dBvUiI6atYGCSr3rB\nq6iYiz17ypGYaMHp0y1oaxsAtaOU3tPW9nccPWoHTYE8HmFhMYiOduHJJ3+NgoJ5bkfbihU7lFO1\noLqfvn+kUq/vwCVCtkFVgUodfBOx2URJX9uOYn1FJ5jo8GWLmuw0Mk5xpAFC/wV1jno7qOniR+Ez\ns0Uz3wGjWnZX3j9DuJY55KcDKFLSL+dCb7OV0W7TlXYKA5UURfu7PjUzA+W3lyhl0gaO2QFci0uX\ntKlQJkCfJpsxrKKgX5Bo2371FRGorJRNFx2t9V3Z0dDQgrIyRo9+EjSIaiS4f+qwpCZx0OcuYu8/\nDioYiayhS6ALdwto0Bvzl61SrukOSitmgpVIwe0GeQ6pEqij+JnJwwq6+LFFv1Fzn3b+AGIqbuBa\nlJWlgY4lZqLRaoeMfiz6z5h2yzY3G4AmXHVVJCor3wUApKfPQlmZQ3gO1wqPHDkILRYuLEJdXRrU\nm/EShIdXYsGCacjL24Bp09aAkG4YPDgaS5dmY8UKoLSUjb+XwPtID1mqmEARQpuBuNAch9MZBXk0\nKGMbsAEm51s7HHVoamJ2TFESKgXwV1CJJx184qwHtQdqqZVN4JsIGyjHQTcTtsC5IPdzTBFywucq\nz7hKuELUKNYrv72EtjYa+FJY+BgApgmxZ+dK7v+dpl4QnqsOkGM56Z1OltiMQUzLzBfVsLADaGsD\n9NLwGgAvIiysCW1tMwG8oXxvR2TkC/jss+64eJEo7SnSgcUysbIyO7zoYAeo+Y6ZSKKFa5mEKmos\n+mCohISHATBKMjPVnQA9b5uZiS5gwIAB6NMnHp7AD/kxChxj7S06BvuAjjkxTTbAzRKiFsfTeIjB\nbUAJHI6BiInZjR49XlYovOI7c8F9GIVQ97uYbI7Nr9OgtFsxd5F4vbjIiCbApeDmn+2gSQ4ZK4kt\nzmIA4mbl+Tao2VIQ2lFM//IzoT2YwNVPc99JqOcPl84jIrLhcKSBx9Fo+4LVUXTYixkEtBo7Ja3w\niOlI0DnA8oVxS0BDA9C9eybCw2NhtUajV69mHDp0Edr1AFiGI0d+jalTX0Vd3c9AhZkSlJVZMWlS\nIZKTGS2Wzb9t0Off0h8uFCyE0GbApJX3wBfpAuU3cSf+CpSX64Q+5wwFz1zIFhbWuEXgi04DuArG\nbHMvQW3bBahqzyRtNlByoc6m6gCXRESIOeEzQaWpa4Xfre7rqBTFnI20vufOteDZZ/8B6qRj3zN1\n/BVwu2kT+MSOBLe3681Xzc0/AyEODBgQr9kMWHuKC9ZWREc7FROF6FRmE6dY2SioSatfPyuqq1vg\ndI6E0ylKNaJkKJbJCbrBRoEuRCVQt7e4YTBNIVbzHFHrA7RnxwIsWV8NKir+JCTOA1i0J6NIsihr\nmXagPuRHpMVawX0D4jgDqOaRIVwnwgm+SIoHrIucd053bmi4GRbLt8L9ot+GLaLihsmYRCxfDntW\nNfSnvYl9skLyjgxwTZN9vg90U9D6aZjTswY0+K8WwEKo2VLM5sVo3SydyavK7yz1QhzoHGVC2EWo\n54+IblAznbR9IdZRLSBZLPtByOn/n713D4+yOveGf5NMhoQcSIjAJEREggcEqWEXhX7XDta+JCLW\nA0XAilBNBAURtZe6K/CSirQo36vluPWr7haLVWrbS93GQ+jmhamtCNUojcaKhAghJ4wJISHJHLK+\nP9Zzzzo8a5JJMsCgc18XFzDzzPOsZx3u4+++bwi3FF/bzs4RVvc5qqPkB3djyfcpBPAlOjpGgRBK\nLS0HwNfeHlfq7k5AS8sFEMoMn1OvV0YvPhUcvxz/TEmJR1ubH0lJWdi4UXblRoaiCE20FoIh0yZs\nhIoouAZ8yB+Da/Ei0Yczi/uRkXErNmy4FgkJXojmFACf3CwILV7WRAC+6ehZSyGyQWVNm4g0G44a\n4BvLlIwmM4B88A0iIxBk3DK1X6MxUAbsJdrnz4EfqlUQgeFp4IePNGu6rwmR8TgqKxMwdWq2lBUL\niPkU6BjgWowaNcK6zuR/F+/W0bEDbW1+eL0XQ6wlaTWELiFXBFlCAJ83yqY+AC5kzpPuT0KKMo4r\nocYqdNTPGrjdRzBq1FCsX78LGzeWYdmy6aioeBaXXWayygTJ2bFEJSVbkZp6HW688f+go6MePIva\nB+4aoT3ZLf0iX3pv8kObEGI54K6vz7Tv5JwGci3xbFzG4g3XEfplBQTq5zjEXrkcnMGTy+95qFnh\nd0Nl+pdBZD7r50OmEeCCQLfM88EZc5L1rGvALUpCSxUhPr5ZegZlVFeAz5cDwHvgsYsaCG39TvCz\nb0dBJSUtxujRyRBWgDyWpXA4irV3FKiejIwvMG/epRB5F+p5aWrageXL37GqIBRAKGC0f14Gt1ZI\nQOwBV5qaofItWHOQBDMIRaAXCwtXYdq0kmB2d3X1i9i2bQmcztFoatphIeNExnikKIosA0AwRDLp\nKQeApP0L4Jr9SHAhUAIdi3/llauwf3+FBY9zQGSiUtXCByAwvXIWp+zq8UAgdj6DiqOn8QGq5Pda\ncY5fS59/qP1O9tfSYaQsyi7rGsJXr4TqM5RbNpJ5fD1EEHQ/RCezbdZ9T8C06To7/xN7967Chg2F\nweBVRUUlmprs85mTsxPLlk2X+kUAobYNr91OJjchp2C9wzRwpnA+RA6BA2pNdyfUpCWAM81rIKyw\nVHD4MWmXqkUgfMcC0kkaf3Z2imQNmd9BDsyVlGzFmjW70d2dBzGHW8HnlPoKkP9btari43+BQCAd\nQmE5AeAO6w8lBF4DjiaS/dcyBl1PviLXh4xVp+9HgidIPQjO2J6FsOCo0q0e7KdA/D7p+U+AEGcO\nRyscDuqOpnd3I01Zds/Rvv8KXAEABIJtLrhWnYNAYBy48ibHdj4BdzfJGvdTEBo8KWny+YlHUlIl\nHn54GgCgvLwUdspHcvITcDi+koLwIon01KmTeOWVTyEsHLOSwOsLvYr6erJyaS7bIQQluTsBAafW\nY4nzYAahAAAvXZGWFo9Bg/xYtqwgBHRYjAv4heE+/aMoEwbEEH3gG+FVqMlIcqE5wIQG6eiow89/\n/k/rt4+AM0ZK5roNfGEI0wsI85XMWkD1lX4Oe5p5AUQms1igwYNvR07OPBw9mgqf73aIolTUX7gD\n3GyOAz8Ew5Ge/gmGDm1HVdXXUFszkvawVPucyAOuCf4Y/GBcAM4g6b2eAA9gvgs7ebBv30GsXx+P\nQYMYrr56OFpba9DeTo3PiUlUY+fOJLz77iGMGAEkJMj+d3kcXCC2tzdBzd4ERPo9uZk8AP4P+DqW\nSNcAvGw3tPs3wp6ARwxZTfpyux9AVtYFiiAARJkFkQhIwt9OcmBu8+Y96O4mWCS95xdQ++aSlQjI\nfRK4+2ys9F03RI0bOSFQ9m+LeEdc3Hp0d/8b7LEG/pyMjCPIyGjD8eOVCAS6ceoUlTnxQNTPod+S\ndauvm+wuIcHC1zIpieHhh6/H5MkTsGpVMSoqTsLnkwUeCQJizsUQ7WZXQk1UOwYRMP4NuEUkrynB\nyuUxAyI2IytpDdYzXEhNPYGXXuIW/MKFW8D3O4FAyDVTiZ/+dCZef/1DlJfT+CmL+sdW+YsEiKQw\n3brg5PXGgwt0BwRqCuA8i5TXoxBxmjGG9wE47+F9KATReUtAc/PLSq8WAIZqwaeHokgYrACfqFng\nkna09bmMX5aDW+RvXIX4+M8xcWIqamtr4fEMgqj14QTfeKvA/bqyACC/O/nm5qKjg4KIsikow+nk\nRSVTlzayHy0tdyEQeAo+38vW5wvB/aCjIGffulybcPHFIy3I6P1W8/OteOyxN8EYMRo5YClXHSV6\nAVxL1g8V0SBwBqzj9TkTEJvOY9V6IaZQbL1bOoCr0N1diPb2MlRVOREfvxe5uQuRmJiIqqq7cUyf\nNwAAIABJREFU0dExEbzW0q/5iP2EiEq27iNbXbJWSgJcz6YmPyi5lZ6BPZbhAY+h/Dd09MfgwX6k\npV0OOwnhl5bWgEmTluKrrxpx5AhBjDk5nbyROqG3WlocsCPFSrRx079lbfsdMOaD2hODfPQkCMog\nvLSqMMnI+Bfuu2+G1TtXhl+K52RnL0ZnZw5OnqR5KZG+JyQczXkT7PE1XchUQPTTADo6PHj88V8g\nKWkXOjt98PtfA503ipO5XL+zEH87wc+MXDtpneHd6V3IA0Akxz1kliRr4R5wBU8og52dd2H//gps\n334MTU3jwNFOn0KGqcfHF2Hy5AnYvbsRnOEXgwuqP0O1vmn+zOid+voWqyMiIJj3XHAF7FNwa4jc\nnTJaSWexC8DrpTWDu75+AlEGQ83FkHs5HD1ahdNNUSQMKOBF0DZibBSQckNo7kT8YFxwwTzU1aWh\noeEkREq7LpE/Un5DG9vp/Bd+8INLcOxYFioqZkFNaCGMvgmyOBKmuivt7XJgrwxcY5cXOR9ebz5G\njlyl1DIqKVmCP/3pc1RUyOV/aWO6YBdIbTBbLEXgOGyfNQa9no0+L2VSu05iyNT8Rw1yBQLA0aNz\nMH58MoYNO44jR0rBm/IA4oA4wVFA8pzxrmeCCXZI95fHRqVFzoOwePwQboFG8EM0FEK7WwrSZg8f\nPgBhXRDpwg/IzV2BzEyGI0fmQU668vuT8cwzr+HJJw9Ygf+51jPJXVMMrpk+JI07GyJvRdb250lz\nQHBLpzRuyichEkL9yitXAYAV1OyCiThzoiJmMujBA6AagiF5wBUDPb6mH/0KqNV/tyEQ+De0tclu\nO9VCu+iixYamOLTGQyCQVPTufuv9v4ZqiXxhzYUO+ZSLN8puUk4+36/x1FOzLITVSutem5VrAoHn\nsWnTKgwaJAfzc6xvqVOg7OazJ3y63Xfi5EkTrj/N+u1TEEKeLKUNEC5geV6Og1sVVNhRLoNhp87O\neJSWelBdXQO7UmQWXP2lKBIGO8EXiYpHyYyCsvA80GvYu90PAHBZ7oufQJivQhPnC8SgtyMEXkR2\nNsPbb6/BpEnUy/RliIQWB0QQuhAiQNcNvqi3QbYMgEJ0d1PTFT84k9E1c060yFSoa9AgvxX0BkQd\nmm5wSykBdoEklyyQmftR8AN4IziDKNF+p+cpHJX+XQYetBttfaYLDjnTeqX2W9JuZLeDcHsMHlyA\nU6fkTm4k8Ki+vB+5udRU5300NxPjofyBfHBmfJH1mz3Q60kxxhEZGRn3ormZmILZB5yRQXkLas2k\nhoanwQVRMfgafw0Bj6TcBtk1chJcgyU3CWm/VCiOtHBA7YpGyDC5Om0ZgEPYu7cRf/nLWAQC/xfc\n1Wm3YFJS0qwYjiwUSWm6ElwLfgFcC3VDZ+SqFQmo2jpZxKTEmF1q9qY4sgVF61Ym3SMbfF+Pseah\nCXYmKlvtAD8LX8JecI/TqVPk1pHPvEqdnfG4+urh+Otf70ZHhxvCrdMKdW/QGpIiEg+Xax+6usag\nvZ1iIPJeL7Dej5B8sudhOPi+3gBgNjgQRO9LLf/WPMfUc7q7exRUpchh3ecPxt/1h6JIGPBNFRf3\nQ8vfKjM/U1VMbk4/99w9VqMSgGucpM2SiUlaHbV8lJnpbWhvJ22D3BHDoS7q1+DBJRljXwwVokcL\n+xxEUTAKcpt7ox49+k/ceGMFAoFLg5+5XP+Cw/E0GJPhj0ugavd8bA7H9WBMng/aIKSJjITojPUM\nxDtdb/1Nm/p86d90iE0mO6AyVieE1kqfl1j/V/MynM4muN1uVFX9WvueUCZ8PLW1W/CnP32OuDgZ\npisLvBYIuCnlm+iIjHvBtUOT8JOpy/D7MnAtVK4yexc405KZIyBcIxdBFJ+jvwEuNLZBRe24IIRF\nGThypwCqv92DEyfWQ5QuTgCPT4l96/ffhrY26pktwylJaZIF6G2wZ9cCDsd+JCQsshL2aD6I5HUn\noSUzaJHte/XVJRg0yI+pU7Mt6O0O7Te3QihTWyACtS7wfU3KVAOAHUhOPg6HwwdgtuSeWgI1gC3i\nVIGADCSQGyQJam2twbPPHkVHhwO8vtBD1liosgDdT3Z18fPi9a6E10sxI9nttRh2iC79rgxqNv/X\nEIH+LNjPG6C6Rjnl5j4KwGXFuOZCnGEqrKkL9IFR1AiDadNKrHoel+GVV6gKKW1ouRevak7PnJkP\nn+9pugtEhiRpGCPAFyQXYjIJAVSGlBRu/qWlEWqFTC96zlbwgy8zaBc4k9fRAgSZrAc3fQnZox7E\n9PT5qK5uQXf3FKgtOL8Cx9zLREgF0qBPAYhHQgJDd/ed8Pv/C0KDfhz8gMH6+1WoWk4FMjLi0NAg\nb2rZVAVErXyv9UcmGQNfCR6zkINuMsqKIIGA3w/U1i7Q7iUHlHnwrKNjh4X28UiVaOWYDllmhGQx\nbd8yeL2ytqQfGI91TQccjiqpgxfAmXYreBcxWpcR4DEQHSacDzUPhnINdGttJxITO5Cd7cWxY93o\n6hoKYZFdCJV50F6i4CQQqoKt2/0iTp3aIsUUPBDavcxY/FBrRzUCOArGkuH1dkNg/xulcevJcHI8\nibvhGhouRH29cNscOrQCw4enWZn08m92AvgYqamfweuNR1cX3Zsat8jCeBZOncoEY/9l/b8EAplG\nFvpICDcbH6PYK7pLlNcpq6w8gc7Of4N6RuMg8kXkeJBOcqwLEG4vQmwBPZdBcYLvV1JKt0BVQmQ3\nOFmkbQACYCwJPh/VgpLzbwiVuBa6MjQQihphsHt3SdBtkp3dhNraH8LlGoKkJD8KCi7Gvn1y2Wq+\nyMeOZaGwcCW6u9shFmOr9YcBaEBSUi06OvJgX3hOjY282TnPMKUFl6FytRCBPtIgTkFo4LIvU0Yh\nPQ/VwuCHLjm5FRdemIXy8pOQN61gyCshaz4c9ueDCrFbC6+XNrWuAcvuCYAfxi+RmtqKl156EOvX\n70JDwzUQmzofArVBjPkw+IZrBxfE4yHKAJNbYhp4WQcGEWPRA6aCRF9cIjkwS3WmiPLh94t+vomJ\nASxbthSzZz9pNRYnV6DJZ6pvaR36yOdPtBWUqQVcaZDvQa4Nk4XnBxf8clVcu1V0882X4bPPmlBV\n1QCRyX0+7BYYMQmq90P+dDvl5AyHw5GEigpyeZCVJ5AyfG/I44J1XQBcyMlrVIT4+H8hECBLphmi\nqQsRAzAVgEPKkgYADw4dcsDppPiKHJjmz/3e93jTnLIyUjYaoTZu8QBIkAQBIOI1o8DX8VfgOUZv\nSNeoe6W1tQEOx1J0dfmtMusUv5HfdQgEMERWhEyuGh3kQJZDlvY5AKzC4MGHkZTkk2DY8hoTOvA5\n7beyG1y4LauqAJfrJuu6JQD2QuwPee4iQ3G9X3JmiOqxl5U9jiNHXoHf/9/IyroA27Ytwe9//4RS\ntpoXWNuBiopZKCsDOjpSofrTLgKwFBMmXIFXXvkpkpIqYW6ZyZudUztHnlxFSSnF4IzxcYisZUoA\n6oAQLjJETNYi5FIAbnCf4fm4+OJM+HwuiJ63dF/S8IhZ8KQX7r83BX9J8FDiGz1vATiDolK5gNvt\nxEsvPYiZM/MloUfZqpDe5VfWO3wPHNKbA6Ell0BU+3wGoh9rHbgbpUiaO5NrpgCJifdYz1kJnr9B\n2pKpAmU+Jky4FLt3l+Dtt9dg5sx8OJ3dEElc78DednAlHI5y232AQmRmzkNGxlaoAtgLbj3S/0lb\n1C2ci8ERIyuk8ZcgPv4fiItrAGcMS6XvySr6Lfz+h/DKKydQXg5wDZGSkgrAfeErYBcKoyGS2iiw\nKt4xMXEBGhubrBiTvK9JcJFFtQb2Vq9rrfnWNcrnkZjYgcJCYNq0LOTlpVlBV/m3hJ3X3Ug8ucrv\n/yl4dVk7dXbGW2fsHfCY3CDtChmjT/ftsu5H650ADh4Qa0CW34QJl+Khh67BsGFupKYOs8rRkPWg\nz8FT0j1lpq4ntHngcn2IhIRF2pgI+SgTn+9///cLsW3bUimhswD8jMhl01u138p5CnqMLlMaE1kJ\nOrIwMhQ1lkGopAqCVtGfwsKV+OQT2aQmHLVuSntQXf05br99KwKBJjgcvwVjWcr3pH2/++6HaGxs\nQmJiAJmZc5GVlYW6upMSlIwOHAUsl4JrN3ojClmLkM0/8V51dQ+ivb0aQmOjDUDuDLnsA6Bmfurm\np0wm90QVLrssFY899pNg8gpvQk7NueUEpnXgbp9nwA+ZHkSksZHP9zi4pkjVLT0A5sLlakN3d5xV\nMVKmfGRnb0BNzWYrS3kIuMtBzkmg+3DUxd/+VovLL78f2dkpuO++AowefTEqKmRUzCFwq+gaJCSM\nhc83H4zJvmrCzFfi3nunYffuxiCc1u7+ALhVQJorWTjk670fPBhYD7KqAgFeE4eX6CaLQG4tyi0+\nv5+005chMm8BbhE1gDOLYoiOdAkQAWPa08VwOADGnkNnJ1BeTu1gX7XalerrQ0TuFZmJ64zYGo3r\nPFu3vjKK/yr7TV5cOQegDCIZUKXExEBwD27atBP79jm1joUyvBTgc/U8xNkG+PxSoyYVxXf06GdY\nvtwn8ZAS628P1Ha3oUqHyJ+tQnLyAXR3Z6Gj400ICPMp8LUlC1oN7LvdD2DKlIuwcWMZEhO/CvKS\nhAQHamvb0NDwN3Ar/0GoZ7WnGB15GorB1xcIFYccKEWNMAiVVKGXahXX0SbcCs4YVF+hw7EJbW15\n2mdPWj5i1c/f3u5TehEEArNw4oSsFZErRZfc/wl7RVM50GuuRZ6cfCM4E7sLoo+CnHkqkwnTrv+b\nxii7VoBly4ptdXZmzsxHVtbLlr+X/Mjx1h+5vZ8T9taI8oGVs1zJpZUKn28wGLsDepwkN/dRMOaE\n10sbOQucETohEn6I8fK//f7bUFFRhooKJ3bvXof4eEJVqe+UmTkXTU3zIRg8daPjMYmODj+eeGKv\n1CFKd2XoPvuF4IedNDi61gRvHAoBmdwFtd6/bPERA6Z70kGHdD1h8/U9wMeoumaA+vrnkZdXDJ/v\nJJqaKA5xvvbbYRB1tA5anyXDRBdeqDIZHhSmsuqN0rvJ2c9UXsSUJc1JLqwm9zxWOxb6tfvSWskg\niOchuqfJVIgvv/wIgYD8Oe3TMoh2ty7YS4foUNJ8OJ0vYsSIIaiqopgWWXol0u8A1U0bQGfnl3j2\nWYfS0Cg9fQXWrZuFmTPzkZu7AFVV8hi5J8PhOAincxF8Pr3kh8wTR0CUtbbXY4sEDVgYvP3227j/\n/vsRCARQXFyMRx55xHjd/v37MXXqVPzhD3/ArFmzbN+r7RyJPKioqMTVV5egtbUGgAvV1ZTZSD5n\nqtZJ0pNn+jJ2OXR8P2NAUtLd6OiQa9/oDH4rWlqcsEPZUqRnEvPrhh3yKdoxHjjQrmk/nFyuJLS3\nLwHXNKshNI06CPgqUShhY4eV5ua+jQ0blvTa9IIX3QJUxroQArERyh/fCBGk01ERgFpxE5CLxm3Y\nsASzZ/8CPDdCBM2BJ6Em/FDcRBYML8DrvQACmaIyGl6UUF5HOTjNx9fZCXR2bgW31nSGqQcJOczZ\n6fwAfj99txXcGpKJ3AafAvg7yJ/OSbf4iAGTpq4zfIAz7lBli81HNS0tBwUFHXjppd9BTXoixkwx\nDdIwV0AU/ROFEV2ujfB6c1BYuBL33VcAANi+/ZjVmGUVuEuLXCSFAP4BPs/JsAtXgLKkr7xyVLB2\nv0zCSuDlUFpb61FX96pVplu2uGsh4h8U3JeJr3EgMFn7XFauSDEbClXgyDkOKlqruZkEtawAyO5D\ne0XllpYl0Ftxyt6NwYOHSt+IGA5jz8LnIx5QDGGxUu6IHEvS80UiRwMSBoFAAPfeey/+8pe/YOTI\nkZg8eTJuuOEGjBs3znbdI488gmuvvRaM6cyOk1oqAOAogd+jqWkH9uwxaR7NsPsZKfhSEmLE+Rgz\n5kXU1h6VmLTO4D8AN7Up4YUWtwDcB+uD6ndWoZu5uY9iw4YFQZeWMLMFjR6dgqFD38GhQ8sBrAaH\nQl4EO0afj9nt/i0GD56H5mbA6+1AXNwsXHDBKFtnJdOhk4kC9Lxhuk4MAl47EpzxD4bKWLogmsjL\nqAiavxplrmlOJkwoAQB0djqhCt4KcPQUJefEQSBtKJ5gys5UhczGjdx6EKRbj4DQ8BZCP7D28t18\n3JdfXozPPqtERwcpHXqIjbT7JRD7gtaPmD0xH2LApKnLDJ+CvudDMAlV6CUlVVoVU1VKTAygrKwa\nAruul4egPbUKCQkfw+nsRHz8v9Dd7UN8/I8wdGgiGhtT0dHxR1RUABUVHBmUltaMQ4fkWlgl4Bbc\nBnAmlQ5eZ2kb7HECPocTJ5bg7bdL7IO2SG8iVFrqwaZNO7F3bxJOnKDzlwaxJh7wMt0y6UJXHgPg\ndK63XJayAkSwZnKJ2q1N0X9Z7iBXD86Qx0LlO9Cupf9znrJv30GUlnpQV1en/cYUbPcgMfEadHVd\nCMYoJkZJoDKKiEgVSAOhAQmDffv2YezYsRg9ejQAYN68eXjttddswmDTpk2YPXs29u/fb7gLp40b\nyzB//kjs3SsXTqMXNaXOHwSf/FGGa2STVmb0frhcAasVJX1HaB367U8gpkVvLxkHdSH4BkpN/REm\nTbociYkBTJmSE2xc0dXVAZdLxnJzYbFmDYdZ8uJvI6Bqy3bNasqU72L79mNobhbP/uqrImRlDUJq\n6jBbUSsTlZZ6UFy8zfIvD4GOaY6Pr0MgQJDNcgD/FzwYTYH5g+BMbxu4ZpIO7vOXBTUdSHXOW1vr\nrZK7cmVXD7hb5T5wAUNxi3cgoJx6/oJ6X7d7CADg+PF6OBxfSzBRkw9W3h8vwC7kVObrdj+ANWsW\nYP/+CqxZ8zS6uy+AMNPpOjr8w8FdXoDZF031dE7B4TgJp7MRPh8FnAutefgjOAOS16UYQDXi4pLQ\n3c2kvcTnISHhAP7+dyfa2kjwyOi1BojYBQDUwecbCZ9PjaXEx8dLgVZOalIeEQEPSMOm9SFhqJOw\n6gcN8uO++3rfn5SA6XSS1DsBLsCJTG4dUubsuRC5uW9j/vwZePbZItTXU04IoMbldI8En1uudD2N\n7u7xUGNMS2AWPnLsS7WYm5uB5ctXICXFiaamUBBUQV1d6WBsIUQzJFJeZJcf8aTI0YCEwbFjx3D+\n+cLkzsnJwfvvv2+75rXXXsOuXbuwf/9+OBzmTMKysseDfYNnzszH1VeXBMsHmFPnqZGL7munw01F\n4oZA9Ckow4EDHbjggoNIT7/dajAhu4wAfuCpnIXs0wXMTKkG3TxLDo2NddiwoVppXAEch8NxPUaN\nylLa3QHAhAm7sGfPYcP7qZpVYeFKLbjuQX29G/X14jO9Fr+e3fzFFwet5h+yi+Y6xMXFIykpDu3t\nLnAoaTWEtkG15YkhywGtMgjoH40jG2qXNU7V1ffC59OzsV8G9wcTumMlOIqmEFzgVEKNYXjAhYbQ\n6j/7bDaKi19FfT3FCYhJyGUMiOQ5ppwSEnIvQ42fBJCVdTKoufIyIXXWe8mHkYKRfogSG4BgygQg\nEFDCESMexOLFY7F3L++xXFn5S3R3XwVhuUwE1z67wF1OV6G7ey26ugDAg/j4axEXNwo+33z4fAw+\nXyHUHgQAt5Cp5AIxJsqYFUyqowOoqroFJvL59PpBBIjwgQu/RghtW8b3bwWHfmZZVj2/gvYnAGVf\nkktq+fJ3FK+A6GimC8glcLvvRHY2t4j37fsbOjpk6DV3aaWmtmLDBl7E7tlnvwC3CAkYILvoZLea\nKBXCocf3Q4WfeqDmcsgBZDn2ZYdWHzq0FpmZ5Oah/fORdIWAEjM2CmpM1GXNfQs4X5P5khpHGggN\nSBiEYuwy3X///Vi3bh0cDgcYYyHdREAJDh1KwPLlK5Gc/JgWQ5D/LZtjchs+ysiUF+4JCObFD0Eg\nwPG7TudM8MXUU9gJP68nf9E4dJfVO2hvf87a9HI9JbVMQmPj3diyZbqiHfF3TIYZ38xdAKWlHvzt\nb4e0b+yZt7JvkmC6sgBxOG60/QbIQ3f3WrS3rwRnikvB3QBEOtO81Hpn6rM7HLzuPFEt7MLVg+bm\ndJw8+U8AP4VwvbVDTRyTk3Oeh0j2A/h8UhVbQYHAcClYJ0olOxwnwVgi+KGkA6vvJz1xTHUVpKWJ\nvJdjx+rBBZmcdQ7wLFTS7t+HKLFBikIt1DaQZaivT8PmzXuwbdtSzJyZj4yMhWhpIeWDmjvJrVrV\nuFcgUIZA4HGocRXqQfBr2N0msnVlD4AL19dWcFcYL/rX1VWH3Fxy2xKDDwCYDO4OZBA+bZq3H4Fb\nDdScStChQ2tx330/Ql3dMMUSsbuk6H5Uu+cY5MRJh+MAFi8W7WBnzfoI6n5j4OUuDgDggkcO6Aqr\nSX4WINrg0h7zgCtG8ljkjP0PrOvkemUl1me6EsnJ7U5Herp8LouhAifWgmeMV0MU29wD3pnv1+Dn\njyoktCMUcqu/NCBhMHLkSBw9KjDlR48eRU5OjnLNBx98gHnzeKDjq6++wltvvYWEhATccMMN2t1K\nAAA5OcDVV1+N9vY4KYYg++/JHJM3yk7wYO4LEBjcfIhFseN3/f5MqKYdEZm8rxneuMAyHSkbWb8v\nab92Zs3zGVYpwoDDPLehvp7w5qqbYsqUi1BcvA3t7d1QqWfklQmmy5heI0kvLZEFPmdPSNdUQfhU\nSdDWQPXhy2AAYuiACIonAPhPq6LpO+DMchW4lnMVBMPXXTu0DqQVqq4Ms4+Woz4Yk0tDkCZPJSHI\nctCzbVU6evSfuOWWeiuAWm/9/n7YO3bdBuE2+yc4/JDGWiKNTSgQTU1+zJ79HMaNexl+f7s1Hirg\nRkwx1NGUhaccV8mDGlDULeYaiIxy2bLtBF9DJ+TSzz5fAFde6QdjP0JVlcO6fwK4ckCCWdfaveBM\ni95bJg8OH2ZgLByXFMABG/bANGPA3r28kB/vsU1VfuUCgLxt7PLlK5CUJFs4sl+eyrXzz3lPcLoX\nKTyUYS+Phc7BRVAFngcqj7JTTs5wLFs2PRg0/8c/2tHerveibgW37KiJ0ziIBjr0vDyI/dS7Qh4u\nDUgYfPe738XBgwdRXV2N7Oxs7NixAy+99JJyTVVVVfDfd9xxB374wx8aBIEg0oZlrG5KCrVTXAW+\nqe+EOoH5EOUY5kp3o41gwu+OgmraCeaZmHgAjzxyI7ZvX6Ew1dzct+H3n4cvv6RP9OQbav4tB6WP\ngzO+LOzbVy/1VOUuneeeA1ategGff/4RurpuxKBByRgxohtDhgzFxo0eNDePhR05pDca4c/6xz+q\nUFi4ErW1piQuplyrBnv9EIxCLswnQ3bJX/sWVGtqGOyMVXZN6LGQncjIOAKfz4e2tj0ApoMzlB+D\nH0B57KJMuV0LkpUCQoXopZsJ/0/P5vcaMuQoxoxxSpmqdyvaqtt9J2pqHPB6fww7XPU55TrgVYN1\nQiTDG4UlSeim8nLA5brO+swLFcrrh+gJAO1z+luOq9DzySLQYxcu8PWwI8B43Gwy1L4Ng7FjxwEk\nJyeBM6THITD/lLFO61MMvj7kljMJ2DIwNtHwOWCuzFoAh+MZmBwJpPRwmDlZ62UQAuoNAAk4dMiF\nuDhzQuO4cS9g+HDOlBMTA1bVYnm9BkF4FV6AWh/tzzCzTooxyooHJ6rltH79rmAPkX37KqHOJ8D5\nRw64UvUu+Jx6oeYb2ZXNSNCAhIHT6cTmzZtRWFiIQCCAoqIijBs3Ds8+y1OlFy9e3Kf75eY+iilT\ncmwujlOn5kr1ZlbCXkJBZm4yMzsFe1lcQAgBqmMuN7vvQHa2HyUlSzB5sicoxQmts3FjmSQMqqR7\nUqr5NnCh4IPQ2vh8UCAJgCIQdETF8uXvWHkPJdanxIivA9fOvoJa7VKUWCgr43V8VPJAFDwbBXsA\nLBu8ic8KcOge+Ump+iVBdgdBJEYRyUGt4+DIEupaVaJdK2IhDz1UhJtv3gqfjxjKTvB1OQ6OUvlN\n8De5uW+DscGoqtKDb8OhokKI6FDrQpM/f8yYYgwb5kZXlxPnnefH7NnZQeBCa2sNvviiBV7vRNgZ\nLXdDxccD6enA978/Gp991oSurlvBmAs+n8/yNcvzejeEy9F+iL3e/4DLtRlebyvUBkZyTwDRdAb4\nEE7nnfD7vwtzD2J6pkC48do9bog9L9flr4fA7quCorsbaGubC8EmCG0m5yPkgzPLsRClM+yw58TE\nI4aSJHwMPl+rpqnDWnMnqqrsv6AGRNzNSvN0HniF10PgmjO9gwcOxyIwZgdxyOeusHClVT5+BbgS\nSQtJyoQcJJez1InkGCMJkFvhdPoxalQ8Tp3KVpou/fWvc9HRQZVmqT1tmfVvv/U8astHlVaJBpwR\nYKQB33XGjBmYMWOG8lkoIfCb3/zG+DkAFBauCjJb3cXR0SFnDtNmPw+q/5oqXcrQvf+wvqfuRISk\n+AJCCOjN7oFTpx4MavA6AmL//gorEefHEA3N10JooRXgLiZiuKF9+yZS31/WtD8A9xneBB4wJD8q\nBUDl+Vpq5VOQZiKjPuje8oGthcjVeAG8Vy31hQA4Cog0Yh05kg21ousSCIFhdsG0ttZg48YyuFxd\n8PkA3V+fl1cc1Noov8TrTYfLddCyDslH64cZFULBTkBnSunp81FXNxzl5cLEJ+ACwAOZJ0/mwF4I\nzwO+b3YgEACamjx4+eVNYOwSCKRahXY9BYQpS9t03PJx0UUv4l//6oDfPwKqJfZnqN3RODF2HVyu\nj+D1TgcXCLIV6oDsY09KqsRNN41GWRm1NZWVKLJ6Zluf2YUV18xpbkljfQMCDw+IDoR6ue1VAL6A\n2x1AVtZ5KC/XhYQHwO/Q1kYd2lYhMfFLK2ueKzRqYpqawJaZ6QMv2zEYfM9R+0o1XsFYN5zOG5GS\nko4xY1Lw2GNzbeePu2xftUAWO2HP0paD5HKWuo4MknmSE36/HzU1FfB6VTgzLzBI6Ky/pMACAAAg\nAElEQVR/g1jjreAxS4IjP2f9rbfojTydHhHTD2KMYf36Xfj4Y1NdG8LnynGCF8AXXTZv5WAMTTbA\nF/cz2JNv1oIzb/UA1Nc/ZWTYpaUeKRFnCzgjlKGXNL6p1i969u2bSM3Epk23BbyS5U3W/xNhD4DK\nxPMpcnJWWY1HKK9iOFR/cQOApYiPb0IgAOme5BddCh5DkHvLyglLeoCvEdxqIRSQXUN0u+9EXV26\nxYw9tu9lrU0EwkkzBuLiPsL557sxdGgqKiqqLWGiP4sOmZ5lHUAg0Ib6+u3KbJGAZoxZjIdiDTI8\nVA++vgDGLobMeLzeIqkPNjHWYnAfsMlC5SSKzs0CX1+yxKgGlupnDwQmWUFkgPe+pj4R5CoFaO93\ndABff70K27YttRirXNqd5p3cO6b9Og0c+roCfL/4INprUjIauRgTIGIXieAKWj6+8506LFs2XVpL\nvh5xcR+gu5vgr3zvdXYCw4aJmIBc1oF3Brw2uDdefbUafI9ugqgkLDNlilk9B78faGkBTpwQqCY7\nnQAP2D4AYZWRxVQG4J+Ij5+JceMuQkKCAydOHEJzM48f+f0nrR7LL0DPi/F6TclhxNCHQ4W6TgDw\nPwDeA4+BENiB7s0rFzscd2pF/QZOUSMMyspo8nT8LiBcP81Qm8LPhj3zcSccjg8RH++0kk2IwdkP\nCm+ZSYxQJRPDVrX2XeAChu6/FQIOR+8QGiUUiuyZ2A5wn2o7RL0g2Z1gfoa98QjAXWkyEuoFADUI\n2CaAzw93Xww2fud03ojU1CQ0N8tWyTsQlpnM5FfB4fgCeXlDwViiZC7bcypk6C2fbxlpwV0XHJn1\nY6xa9bJVAI7uxd198fEAYz6rLwYg4iUMXq/u5uLU2RmPpiby2euF8J6B2vzFA66F60i055GQMBPf\n//4q7N1bgxMnAFEj3wPR/UqgTUjT5Ylz9A4HpN/ozwBUhncKora9HAcSQn/fvoMApmPDhkLcd98G\nHD5cBMbkLOwp4HG4bMOzlmDMmP9BY+NHaGsLQEA4SaFwweFotywIJzgzqwXBroEK7N17CoxRHtFO\nyU+fGyxZLuePVFb+C8uXdysWQXr6CixbNl3ZG9xjQIJ/OHiyogxDDt1Kku5BENfjx79Gff3zEICJ\nCnANvRii1wSvR9XRIUpMCMTZcSv2pPdpfwTCayFTgVQNQV7PdwD8KXiV210EgHqP51uf3YnBg9vR\n3HyrscJBfymu90vONOmVA4GkpBZwc1mvlaPXWMkHsAbp6cPx6qsPSZUDAbPcYzAvlJlhq1p7FUS5\naNKQL9DeoUD6fiWAEiQlzcWUKaGrDorqqbQxFoCbrF3WO7SBa0EPas8SxBnMdMM9Zd/wNnCN9TUA\nDxvu8TZychLBNWqd8pGaOhgTJ14qfUaaJjFS0gB3ISnpc/zv//3v+OCDLVIpDHEvYA2ysxOD1mFh\n4UqUlnqs+Q6FzNqJNWvmSWss0ESBwA50dwekOXwc/JA/jq4ur3QnsS4ffLAPn39OzDTfGj8vD+J0\n/hBxcc3Sb95BqA52VOztqqsIVSe7Gy6F6MnN98L8+TmYOTNfWiNZS8xH6NLZgGCgcjVdeYz8vZub\nX8by5e9g//4KOByXWglNcpvMY+DJlpS4JSg391Fs3LgcJ0+WYtq0Kdq9rwEwAoytAN+PNbbvgK04\nceK3KCt7HNu3H8OyZdODlWizs1NgWqOaGr8tr+bQIQduv/354N44duw4hMdgHjjzTrM++3/BLVeZ\nya607r8SlZWfBSsk79lTgrKyx1FZSYFmijMtAYd0noScyAaQQNmJkpKtuOWW36Os7HF88slt6Og4\nDrUHyFbwWBwVphOUlPQiHn54IvLy6uFwHLA+te/1+vrnkZXVisLCVZg2rQR5ecUA0lFVtQPNzSpY\nZ6AUNZaBIC79MjJuxcSJl1hZvdPwy1/ugtd7qXYtCQNVs3C5vrKZmHV1dVKNcTnvwOyqIL+kTEJr\n3wouRBLAD5BcU0e8A3dPfQ5+wHm8pKMD2L59BSZP9hjjBvQZz06mey4FN1vpAI+DwP/zekjAUgwZ\n0o4pU863laWgf99++/OWJkEWht1SkjX09et3oaqqxjY/wKMYPTpZs2Kc2r12QjR3n4b33qvF1VeX\noKKiEnbyoKrKYVWj5UT4cxVFIaizM16pb7Nv30HJSvGAC097/RjgQUsjI6QQf6+2NnINya6mfCQl\nLcYrrzyEVateQHm5bJ0uMI5rqJX4Lsqr0B61wyQ7OgRM0r5GRPaGLS7Xh2BsEXy+bHAoIllPlNVs\nTnp66qmbcPKknKuhX0suQjn7PQcbN5Zh/fpd1to1Qu3fIT/nKQituOdcGJoj0R1NUHe3HBSns1qI\n5uYylJU58de/bgE/fz+V5qYU/Kz9P+BuFsCeF8SppuZmdHerYxPBbQqS0x7YBRPV1DTiySc/t8ZO\nfv5LwfcH0R7wGIacy8Ddf11dfvzpT0nIznZj3rxMvPoqteS0U1paTrCsR2HhSiXeFUmKQmEAAPm4\n8sqdwQkoLfWAMQ/s7od54BjpcZAPy1dfHZfcTtzEvPfeaRJU1H4weyusBcgH/AuoAVdyQ5iYyVx0\ndKiBc/1Q6NnCU6dmIxAgBIocmP5vqAku6hinTFmllCCWaebMfEyeXGa5i/Rll4VpV9Ac5yUkFkCv\nzuhyHcSaNcusd6E5lQWDCAiPHl2M7duPaTWnqDMVJ47xVhnCoUNrkZdX3GNNHnove8Z6Gbjmbjpc\nPJ5SX79FKndCcyL2Ar3rmDGCUc+f/yu0tNC6tEOHDwKLwVhbcFwAhw0fODAbgYC5UqjsjlTXSIwX\n4NVo3e4hVsMW8tlvgR2PD9irofLg8smTciJlvuFa+pwjvpYtu0ZD9m0F8FfpWqf2u10hvgv9vrm5\nf7ZcRTLJe0nOpeDj4PvhFqhMtgHADKjBXzl7WBAvLaJTARISFsHnkxMt6awBusJ55EiDlZdAiWEU\nP5LzDZK0dxkB6qHd3b02WAsqN3cFHn54IjZv3iMprIJkL0Wo6s6RoKgUBgQxLSxcia4uJyoqKuHz\nXQTTYU1K6kJHh3wQyhAIqF2ADh1ai717V2HDhkJs2iT7c4nEAeitsBYA3HjjF1rAVbcIRCG1rKws\nw2YXh8KeLbwVZWUfQFTWpM20BNwf+xSEL/vHoA0aF/cxpkwRriETCWEmBzJVzUmGv/Lr38GhQwtB\nyWFJSZ/j4Ye/rwjLTZtWoabmuA2vn5v7KE6c8Fple8Vh8vv9wcquAuNtH6/XG4+sLL/l47b72WWy\nWykpEG4ElXJyhuO887Ik4eGBmk2bL10rNPcLL3wZ5eVU8yoBpp7azc3CpUBzxEtmyLEXMRcVFZVK\n7om9YKOoRrtxY5lkPdEY18POlEmayGu7EjyeA+1ac9/gxMSAAdlXC9E3GLDHq3qqGsAFkt6jIjs7\nxbD2BRIazuwq5M2iiKj8xhJw66ANAkxi8oSb9kU+Bg16AmlpJyzUFVlJNRDF6cQYOjvnQ5St0YvW\nfQkuUAaBx2JkC8yMMNy7Vw7yC8VJ7uh4330F1j6XBVPkKGqEQWGhwPNPmZIjaZMe8DaMutYNJCbe\njdzci7TNFFojkRvkiEJ1osbQhx9+1WthrZkz85GevkWT4HaLgFcvpYqa9vGQtFcPHGkZVE6DNrT6\n3k7n7+H3T4QMOezu7tn9RGMHuLZaUXESPl9ol8KmTcLK2LRpJ2pqGlFf34KsrCy8916tAr2VLRxR\nkrgGJ06cxOHD8bCX8ChDW9sptLY24qGH5oWYI4+lBf8JJtihnptx/Hi9hFVvBNfAfgU1H6MMCQnV\naGzUC+bJLpbQB5HHOyhJcRB0wcFJ1bRFOQQd7caf09Sk5p7opZ3larTr1+sui3xw98jH2ue0H+W1\npdwaHdrZCN0NmJ4+H42NaaiqOgWV9HvolnqBZPXJpaLlHhXPKtVR588faRR+8+dPxN695P7T3cP8\nWXy9M6HmzaSAewt+Bd6BL8PwW7nhD9GjuOCCHDzxxG0WQ6YaWVngrmD1jPh8o613fA6iigG5i9LB\nXUYEC54IXviR5tBOutuzpqYx2LZTnq8rr/QjLm4zursvNt5nIBQ1wkDvsCQEAVWx1K2CGiQkfIVj\nx/QaQr0jeKZOzcbu3XPg9V4EqpcPJODkyVeVwlr791fgvfdqlaJaM2fm4957p2HtWtnVkY+4uE24\n8MKFyMm5MCjQCGWgYv5VzZabfXIW7bjgPTntBPAVnM4f4tJLczFyZCqmTCGT0u5a6SmHgWjYMDcu\nvjgeX35ZjlOnkiXUjSCyXOhey5e/g6amZ9HUJDam/L3s6jp69J+oqcm05hcwZeAyxjNwly83MwTh\nOhICu7NzFBirV96vpGQrnnzyADo6COVSDO63pe5kLwCYCe4yeh4+n9wl7EFLY5cPOofIxsX5bQeR\nxzDo2XoZbE56gxhh1tPv7G4Lfd1M+S2AbP3ISkwChgz5GidPFqG7e2Hwc5erHHFxqVbPaECFKMou\nkD9Chd/+EydODEF5+VbYkX2mezQoVt6UKRPx+uvFqK5ug9fbgc7OjxAIlELUUloJcrUcOlSIvXt3\nBi12XfgBfH1//vOdsBPPIq6uJtg05R9RLMgNFZ8vEvccjmNg7DaoVt21yMnZGXzuvHnrrOZYBTC3\n8ixAYuJL6OxMgejP/Al4v3BAxOPuAIf/kiXTM3+yd3QEaL0PHUrA4cPvobt7qnT/nxvv1y9iUUDy\nMN54Yw9LTp7HeLrLCgbsYcCdDHjU+owxYA+Lj18U/Lf+ndO5WPo/Y7m5P2NvvLEneP/c3EcZcI/0\n2xXK9XSfpCT9Po8G77N69RaWmTmXDRmykGVmzmWrV29R3oE/Q77XHDZhwnJWWLgyeA/GGMvLK5LG\nvzrEWBgrLFypzNm0aauN102btloZR0HBCjZt2mpWULCCrV69RRsXY0lJc4zvnpk5J/i7vLx7ehyT\n+r57GDBHep89DLhdW88V0rvuCc5JYeFKNm3aapaXV8SSk281rC1jiYl3K2tpH/8KaRwrrefcaBx/\nXl4Ry8hYYPhOvocY65gxs6T33MKARcrv4uPvUvYBY4wVFOjr2fu6haI33tjD3G79LDDmdj/Abr31\nYdt+VefGPpcJCXO1dyxiwI+k64sYcLdyj57Olnnv0/susj0feJSNH7/I9o7ynuV7bwsD9HdbZJ3B\nOdK70ZovYsAsaR3134d+D3p+fPwN0l4wn8m8vCI2Zsws5nDcyTg/WS390c+CPMZHjc82n2/9+rna\nOCLHwqPGMgBEzX1RmI38hXIfUB6NDwSokJw9ADxlysRgeQFd0xBumRLY6+XLVGas804aXEnJEpSU\nmOq4mwrF5aOjA6ir24LMzHQrMEtatdzGj9LrVRM2KWkxli27TXlGa6teaoETaRimyqU8BV7Vtjs6\nUqVEKYCbuh8o5YcTE83IGXNhPNmHSpok+aWPw9S/tqbmK60d4jtob3fA5Cvu7PzP4BpwrPk4qJoy\nJS3KCXRVxvGnpeVg8mS/oQERWWvqWGtr78Ejj4yU3Bdqh6xAYD727lW1WHsMQNcM+dgPHDgadEf1\nZNm1tzdBd0XV1z+FN964CR0dalVXNROd3zMpaS5yc7OQkNCGAwdaoJYFXwnue5ezk7eCl0GJQ1xc\nIjIzvRg5MnRDJfvep/c1tUl14MsvRW6Eac/yvSfXqOJzPWzY19i+/RiampbCXqeM3oXYmwzXtUbl\n9yMu7n8hLi4ZgwYlIy0tHfv3V0ju6YXWlSb3GndR33DDJGzffgyMFYKvialEhVw4EzBZ+ibAirAC\n9TNg7l8dCYoqYcD9q1lQfZ7yEKmT2f3aL8MLAAOy2S6XGzAdUFMmdM/Zw/ZnyPd7x1jfXcXd6xh9\nXk7g4Yen2Xzkhw/Xw14M6wEsW3YzAHPlUsE4VSbH2FxMmsSLtn366TEw9ob2zqNgotbWGhQWrsT7\n78vJTtwFIN6H0upXQDAEmdaivl5kaIpxh0q40guV1cDO0GQyVablxJmZPWDLEUx+6G6Nzs5bsXfv\nTrz99hoLvWSPGXR2qn59EacRrhOfT25Sw9eiudmDsrIyeDy8mumaNfOMNatOniQEi0C2ANloazMH\nqOPijmLSJJl5Lw26IQIBL1R3F91Pdut9AKr1090NNDQADseDWLx4ON57rxbr1+/Cxo1lQSFm3/u0\nB0xtUoGurkXB+JNpz4q9Jwv3MtTWeuH307V/hp0K4HD8CiIZTp4bnr/T3c1RPX6/B+XlZfjoo3fA\nGCmZzPrb5BoLYNw4P957r1ZTgqhiAKx3/gpqbpTYLz/4QWjkHyArEQnaN2ZUWiQoqoQBr7aZDjX9\nmio3yhvUjBKR4wI6XJM2q5C4crkBvW8s1S3v+RmhyJ5FHBpz3doqR6KF9iCsHIHRpzo9n3/+Jdrb\nr4DaKKMSgwf7gwzEXLlUPuiCfL4dGDZsFRob68DYUJiYjV5ITC0rITNg2bophOjy1YxQWk1KSmrw\n36qPPTTSBaB5JoZG9fi7wLN8F0IUMCREh3jvhIQ5aGw8D+vX7wJjnyE1dRbi4tLgdHagoGA0/vjH\nA/D5GExWjHg2UWh0EFFr6wg0N5Nw2wqubSZClHZQq5nKQeXSUo+Vd0L5Jj5tXHPBGMVnVIbb3u5B\nZeUW5OYmWEle8jzr5TFo7eRcATkfhVN9/U148snf2/oS2OcFEKCH9fD7TXvv/wtaembYZIG090SZ\nar+/RLqGktfkPVuACy90oK6OsnyJaAyE6pHjWHRPyiOi/hS0l7mASEr6HDfcMA27d8vWOSlyC8H5\n1kfgZfV/BnuwehYOHkzA0KHzwNggXHhhsk34A0BaWgOczgarkgLB2OvA9/N/GeZqYBQ1wqC01IND\nh6gENKCWeZD7gFJ10NCuFJO5SZuVF6QqsiyQbqjlAVbB4ThgaQfhJ6OZ8gS4VKegVQ1Mm7WmphFN\nTX6IvsO8uYjD8RWuvXY8brttuvQe8iGfJ42LNpAHR46sDwqNzz/Xs7WB3soCV1e3gc+/3ZWTnd2I\niy4SrrfGRrmshCxM6VAQkkJo93FxPzQGq9vaRHlqlZnoCVfqGtx3XwF27twExraCt+okV8FWAL8F\nPzArYQIfOBwUJPVAZ6779q2A0+mAz6fDGYUVIzQ3HR3kwaxZ6+BybYTTmYwLL+SanGjeQtr2VIhe\nA/amM3LZBB68p/63o6EzVJGEqCOI+J7RA+EAzbNeOprWjs5gKPYQ2oUaCho7f/4MPPHEXimgLYgs\nPbsgAShQDBTjo4++BmNkBcjX6sUSeaXW22//AQDgiSdeQWfnXeD1m+id6G9ZQBFscw9EHhEljtaD\n+AQljnJAgRgnp53IyPDhyisn4cMPq3H8uH3vxcUBVVUCqlpe7sGsWRtx8cV/RnZ2CqZOzbbcVQSK\noKKL1DWPu8wSEg5LtbkiQBGLPgyAAFiBNlOwmLHBg69n8fHXaQEpCnDNZcAClpx8UzAIYw/aiYAn\nD8I9oASTXK7ZweDuhAnLtaAbD0JmZMyzBXkYMwVPV7DExNvZiBEzmMt1l/V5EdOD3MAcFhd3vfX/\nhxlQrIzV6VzMxoy5XfpMfic96EnzRoFAOagmBzgLWVxcYci5SU9fYAXC7N+PGTNXCeyp80RjmMWA\nGczhmMGAaw33MQURf6YEEfsSfGeMsZSUHzF7gHiFNq6egubm9xUgBvXPhAnLlbHyAKa+Dnqg9jZt\nbCukf8sBdntQWexlOSivXysHvOW9Ib+bCBRnZs5hq1dvYS7XDMN63MGSkv4XS0y8m4UOnprGIILg\nMhhAXjN1P6t7z7z2IrjK52G19j50begAL78fzfNKJgKw9Bv9nnMM76ffn89lcvINBpCJCESbwRn6\nnPa2P2kdze8YSRYeNZYBNxFl9xCvBjhoUC1cLjdOnRoEXjclU/oVxRC4OXzLLVuQm/tn1NSYqzd1\ndsYb2uDlw+vNx8iR3IfH65qL72hMV15phmyqPm4y9T3o7NwCgGqoy0Fium4HurtLrM+qocMN/f5n\ncOTIHOkTeal0v+EW8KQYMudLYNeG/4lA4HzwngZmbbux8WWUl5vKP3hQW5uBqirhLrD3TKgAT2oi\ny6MEdjI19OaQPpnS0hqQkcF7BPCSw0tDBlUvuigd5eX6eutJWAA1tZky5Xwpyc0DtZmOIJeLab0J\nOI0cKVxaM2fmW32s6ROzW4Vj0k1jI1flRTBRYmIAnZ10PQUiTdqznKQlJ5y1Sf9WcxuefbYIGRlA\nQ0Ml5PVwu4HnnuMWichHoYxa6w2cByzXhX28gBkaW1rqwalTCQjV0Y8STNPSGrQYh5xjoWe5A7zY\n5EFjscnq6jbLNVcCNeYg5+/IrrJ88PiD/nKmmMNaa394gkF5ORhcWLjS6legwlp5ccsJ0v1Mtbf0\n2mXmkiyRpqgRBsJElINyHvh8JejqGgW10mYxuMkkp8kfCJrD5sqnHlRUVMLvTzI+n0xVs5lrdg8B\nso9bx9LLWYmhuhTRO5vHxJhsxuvuE7mMdCfUDWWay7kQdeYBYgBO5wfYsOGh4OGdNWsjvHKtLWvM\ncrwA4EgVFYVEyXKm8RIVICnp9yFzLoR7T7iWamuLsGrVy3jkkReDSW+UvTpzZj7WrFmA669/UnuO\n6dkMcXG8B3dCAr1g6ODy6NEpGDq0931grs8EqD2FG+FwzAJjl4Hnkoy1riHmY2oGczeWLftxEHkm\nXDf2a+UkLZEJfp70brobyoP6ep53Qa6QxMQqZGd7MWTIUKsblx9r1izA/v0V+OUvd0t9JAJISQES\nEx+UlCqRoDdpUjEAF9LShgdjXGlpw1FRUWnlxaiooMGDj2D79sHaPK/AY49dY+gXrr97PpKSXsSl\nl2ZK1WsBcsm2tjLr/yYhshPJyRVwOPzo6loEn48UN8obkGOIcj0tnXnno6NDKJNEQrmtgOrCWqmN\nx8SC9ZioOTch4hQxG2MABMDoHuBYYB1XK7skZNNO/z5U7kHvOH4d856Xd0/QZNfdFMKMX63dX36O\n/G+TqWsyJxlLSblOcmnJOOUVDFjE4uKuZ4mJNzGz20g1PR0O8zOGDFmovM/q1Vtspm9iosm838MS\nEuYwgeW/pdcx5Ob+jK1evcXoQlDnUr/HHgY8oHzndj8Q/O2IET+0rbfAldvH4Xbfac3rauP3iYmL\ng6Z+qLHKe0XsW3IB2HHtwB3Sv2VXkikvYiXLyyvS7i+Pk1+bmHg7mzRpiW1cb7yxx8qfoGfp69dT\nXo1wJyUlzQnp2snLK2KFhSvZ+PGLpP0iv7c+r7rrhf/JyDCdb3tejcixKGLAPAYsYC7XjWz16i0G\nV61pbkNj+/XzzveGnGch/978HrKLrKBghfRepj1tWn/5j+5O3cP4+dL38f0skiw8cncaANELyYsi\nfLG3Giff6ZSTQkwLtIdlZMxj06atZqmpN2oT23vSB41HHERxQPQEM75JdZ9uqINh2hyzmD1msIjd\neuvD1r2JScxiwELluvj4Oczs997DUlNnBRlZaurNhueuYE7nLTYhpzNBc9KZ7ve83nDNFgbMsBLz\n5tgSsnSyJ9LRM8x+/UmTlgTHm54+n8nMdPDg69mkSUtCMpu8vCJpj9HBv44BN7C4uB+xvLx7jHvC\nRDRf48cvYi7XLYa5MK15EXM6b2DJyTdIsSWxH1ev3hKM0eTlFbFJk5aw8eMXsczMuSHjJzIJwWry\nN5vOC/nVdSXCfP6I+Ynn6EqZ/kyzEmZO+rMn4dljfapCQGugrnf4AtS0nvZ7yTEH9Q+th10omXlT\ncvJ1LCNjn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"text": [ "" ] } ], "prompt_number": 9 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Adding IPython display support to existing objects" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When you are directly writing your own classes, you can adapt them for display in IPython by following the above example. But in practice, we often need to work with existing code we can't modify. We now illustrate how to add these kinds of extended display capabilities to existing objects. We will use the NumPy polynomials and change their default representation to be a formatted LaTeX expression." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, consider how a numpy polynomial object renders by default:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "p = np.polynomial.Polynomial([1,2,3], [-10, 10])\n", "p" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 10, "text": [ "Polynomial([ 1., 2., 3.], [-10., 10.], [-1., 1.])" ] } ], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we define a function that pretty-prints a polynomial as a LaTeX string:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def poly2latex(p):\n", " terms = ['%.2g' % p.coef[0]]\n", " if len(p) > 1:\n", " term = 'x'\n", " c = p.coef[1]\n", " if c!=1:\n", " term = ('%.2g ' % c) + term\n", " terms.append(term)\n", " if len(p) > 2:\n", " for i in range(2, len(p)):\n", " term = 'x^%d' % i\n", " c = p.coef[i]\n", " if c!=1:\n", " term = ('%.2g ' % c) + term\n", " terms.append(term)\n", " px = '$P(x)=%s$' % '+'.join(terms)\n", " dom = r', domain: $[%.2g,\\ %.2g]$' % tuple(p.domain)\n", " return px+dom" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "This produces, on our polynomial ``p``, the following:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "poly2latex(p)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 12, "text": [ "'$P(x)=1+2 x+3 x^2$, domain: $[-10,\\\\ 10]$'" ] } ], "prompt_number": 12 }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import Latex\n", "Latex(poly2latex(p))" ], "language": "python", "metadata": {}, "outputs": [ { "latex": [ "$P(x)=1+2 x+3 x^2$, domain: $[-10,\\ 10]$" ], "metadata": {}, "output_type": "pyout", "prompt_number": 13, "text": [ "" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "But we can configure IPython to do this automatically for us as follows. We hook into the\n", "IPython display system and instruct it to use ``poly2latex`` for the latex mimetype, when\n", "encountering objects of the ``Polynomial`` type defined in the\n", "``numpy.polynomial.polynomial`` module:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "ip = get_ipython()\n", "latex_formatter = ip.display_formatter.formatters['text/latex']\n", "latex_formatter.for_type_by_name('numpy.polynomial.polynomial',\n", " 'Polynomial', poly2latex)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 14 }, { "cell_type": "markdown", "metadata": {}, "source": [ "For more examples on how to use the above system, and how to bundle similar print functions\n", "into a convenient IPython extension, see sympy's [`printing` extension](https://github.com/sympy/sympy/blob/master/sympy/interactive/printing.py).\n", "\n", "Once our special printer has been loaded, all polynomials will be represented by their \n", "mathematical form instead:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "p" ], "language": "python", "metadata": {}, "outputs": [ { "latex": [ "$P(x)=1+2 x+3 x^2$, domain: $[-10,\\ 10]$" ], "metadata": {}, "output_type": "pyout", "prompt_number": 15, "text": [ "Polynomial([ 1., 2., 3.], [-10., 10.], [-1., 1.])" ] } ], "prompt_number": 15 }, { "cell_type": "code", "collapsed": false, "input": [ "p2 = np.polynomial.Polynomial([-20, 71, -15, 1])\n", "p2" ], "language": "python", "metadata": {}, "outputs": [ { "latex": [ "$P(x)=-20+71 x+-15 x^2+x^3$, domain: $[-1,\\ 1]$" ], "metadata": {}, "output_type": "pyout", "prompt_number": 16, "text": [ "Polynomial([-20., 71., -15., 1.], [-1., 1.], [-1., 1.])" ] } ], "prompt_number": 16 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "More complex display with `_ipython_display_`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Rich reprs can only display one object or mime-type at a time.\n", "Sometimes this is not enough,\n", "because you need to get javascript on the page, or you want LaTeX and a PNG.\n", "This can be done with multiple calls to display easily enough,\n", "but then users need to know more than they should.\n", "\n", "In **IPython 2.0**, we added a special `_ipython_display_` method,\n", "that allows your objects to take control of displaying.\n", "If this method is defined, IPython will call it, and make no effort to display the object itself.\n", "It's a way for you to say \"Back off, IPython, I got this.\"" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import json\n", "import uuid\n", "from IPython.display import display_javascript, display_html, display\n", "\n", "class FlotPlot(object):\n", " def __init__(self, x, y):\n", " self.x = x\n", " self.y = y\n", " self.uuid = str(uuid.uuid4())\n", " \n", " def _ipython_display_(self):\n", " json_data = json.dumps(zip(self.x, self.y))\n", " display_html('
    '.format(self.uuid),\n", " raw=True\n", " )\n", " display_javascript(\"\"\"\n", " require([\"//cdnjs.cloudflare.com/ajax/libs/flot/0.8.2/jquery.flot.min.js\"], function() {\n", " var line = JSON.parse(\"%s\");\n", " console.log(line);\n", " $.plot(\"#%s\", [line]);\n", " });\n", " \"\"\" % (json_data, self.uuid), raw=True)\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 17 }, { "cell_type": "code", "collapsed": false, "input": [ "import numpy as np\n", "x = np.linspace(0,10)\n", "y = np.sin(x)\n", "FlotPlot(x, np.sin(x))" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
    " ], "metadata": {}, "output_type": "display_data" }, { "javascript": [ "\n", " require([\"//cdnjs.cloudflare.com/ajax/libs/flot/0.8.2/jquery.flot.min.js\"], function() {\n", " var line = JSON.parse(\"[[0.0, 0.0], [0.20408163265306123, 0.20266793654820095], [0.40816326530612246, 0.39692414892492234], [0.61224489795918369, 0.57470604121617908], [0.81632653061224492, 0.72863478346935029], [1.0204081632653061, 0.85232156971961837], [1.2244897959183674, 0.94063278511248671], [1.4285714285714286, 0.98990307637212394], [1.6326530612244898, 0.99808748213471832], [1.8367346938775511, 0.96484630898376322], [2.0408163265306123, 0.89155923041100371], [2.2448979591836737, 0.7812680235262639], [2.4489795918367347, 0.63855032022660208], [2.6530612244897958, 0.46932961277720098], [2.8571428571428572, 0.28062939951435684], [3.0612244897959187, 0.080281674842813497], [3.2653061224489797, -0.12339813736217871], [3.4693877551020407, -0.32195631507261868], [3.6734693877551021, -0.50715170948451438], [3.8775510204081636, -0.67129779355193209], [4.0816326530612246, -0.80758169096833643], [4.2857142857142856, -0.91034694431078278], [4.4897959183673475, -0.97532828606704558], [4.6938775510204085, -0.99982866838408957], [4.8979591836734695, -0.98283120392563061], [5.1020408163265305, -0.92504137173820289], [5.3061224489795915, -0.82885773637304272], [5.5102040816326534, -0.69827239556539955], [5.7142857142857144, -0.53870528838615628], [5.9183673469387754, -0.35677924089893803], [6.1224489795918373, -0.16004508604325057], [6.3265306122448983, 0.043331733368683463], [6.5306122448979593, 0.24491007101197931], [6.7346938775510203, 0.43632342647181932], [6.9387755102040813, 0.6096271964908323], [7.1428571428571432, 0.75762841539272019], [7.3469387755102042, 0.87418429881973347], [7.5510204081632653, 0.95445719973875187], [7.7551020408163271, 0.99511539477766364], [7.9591836734693882, 0.99447136726361685], [8.1632653061224492, 0.95255184753146038], [8.3673469387755102, 0.87109670348232071], [8.5714285714285712, 0.75348672743963763], [8.7755102040816322, 0.60460331650615429], [8.979591836734695, 0.43062587038273736], [9.183673469387756, 0.23877531564403087], [9.387755102040817, 0.037014401485062368], [9.591836734693878, -0.16628279384875641], [9.795918367346939, -0.36267842882654883], [10.0, -0.54402111088936989]]\");\n", " console.log(line);\n", " $.plot(\"#47ba8d73-8a8b-4a34-b96b-378e969797f2\", [line]);\n", " });\n", " " ], "metadata": {}, "output_type": "display_data" } ], "prompt_number": 18 } ], "metadata": {} } ] }ipython-2.4.1/examples/Notebook/Display System.ipynb0000644000076500000000000071351412466235755023013 0ustar minrkwheel00000000000000{ "metadata": { "name": "", "signature": "sha256:ae010ef95e10f7b6ef5f0b51ab9e540112ad42edc1daf268de29fee0cff73085" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "IPython's Rich Display System" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In Python, objects can declare their textual representation using the `__repr__` method. IPython expands on this idea and allows objects to declare other, richer representations including:\n", "\n", "* HTML\n", "* JSON\n", "* PNG\n", "* JPEG\n", "* SVG\n", "* LaTeX\n", "\n", "A single object can declare some or all of these representations; all are handled by IPython's *display system*. This Notebook shows how you can use this display system to incorporate a broad range of content into your Notebooks." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Basic display imports" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `display` function is a general purpose tool for displaying different representations of objects. Think of it as `print` for these rich representations." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import display" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "A few points:\n", "\n", "* Calling `display` on an object will send **all** possible representations to the Notebook.\n", "* These representations are stored in the Notebook document.\n", "* In general the Notebook will use the richest available representation.\n", "\n", "If you want to display a particular representation, there are specific functions for that:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import display_pretty, display_html, display_jpeg, display_png, display_json, display_latex, display_svg" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Images" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To work with images (JPEG, PNG) use the `Image` class." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import Image" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "i = Image(filename='../images/ipython_logo.png')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Returning an `Image` object from an expression will automatically display it:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "i" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "png": 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"prompt_number": 6, "text": [ "" ] } ], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Or you can pass it to `display`:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "display(i)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "An image can also be displayed from raw data or a url" ] }, { "cell_type": "code", "collapsed": false, "input": [ "Image(url='http://python.org/images/python-logo.gif')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "pyout", "prompt_number": 8, "text": [ "" ] } ], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "SVG images are also supported out of the box (since modern browsers do a good job of rendering them):" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import SVG\n", "SVG(filename='images/python_logo.svg')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 9, "svg": [ "\n", " \n", " \n", " \n", " image/svg+xml\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "" ], "text": [ "" ] } ], "prompt_number": 9 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Links to local files" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we want to create a link to one of them, we can call use the `FileLink` object." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import FileLink, FileLinks\n", "FileLink('Running Code.ipynb')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "Running Code.ipynb
    " ], "metadata": {}, "output_type": "pyout", "prompt_number": 10, "text": [ "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Notebook/Running Code.ipynb" ] } ], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Alternatively, if we want to link to all of the files in a directory, we can use the `FileLinks` object, passing `'.'` to indicate that we want links generated for the current working directory. Note that if there were other directories under the current directory, `FileLinks` would work in a recursive manner creating links to files in all sub-directories as well." ] }, { "cell_type": "code", "collapsed": false, "input": [ "FileLinks('.')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "./
    \n", "  Animations Using clear_output.ipynb
    \n", "  Basic Output.ipynb
    \n", "  Connecting with the Qt Console.ipynb
    \n", "  Custom Display Logic.ipynb
    \n", "  Display System.ipynb
    \n", "  Importing Notebooks.ipynb
    \n", "  Index.ipynb
    \n", "  Markdown Cells.ipynb
    \n", "  Plotting with Matplotlib.ipynb
    \n", "  Progress Bars.ipynb
    \n", "  Raw Input.ipynb
    \n", "  Running Code.ipynb
    \n", "  SymPy.ipynb
    \n", "  Trapezoid Rule.ipynb
    \n", "  Typesetting Math Using MathJax.ipynb
    \n", "  User Interface.ipynb
    \n", "./images/
    \n", "  animation.m4v
    \n", "  command_mode.png
    \n", "  edit_mode.png
    \n", "  menubar_toolbar.png
    \n", "  python_logo.svg
    \n", "./nbpackage/
    \n", "  __init__.py
    \n", "  mynotebook.ipynb
    \n", "./nbpackage/nbs/
    \n", "  __init__.py
    \n", "  other.ipynb
    " ], "metadata": {}, "output_type": "pyout", "prompt_number": 11, "text": [ "./\n", " Animations Using clear_output.ipynb\n", " Basic Output.ipynb\n", " Connecting with the Qt Console.ipynb\n", " Custom Display Logic.ipynb\n", " Display System.ipynb\n", " Importing Notebooks.ipynb\n", " Index.ipynb\n", " Markdown Cells.ipynb\n", " Plotting with Matplotlib.ipynb\n", " Progress Bars.ipynb\n", " Raw Input.ipynb\n", " Running Code.ipynb\n", " SymPy.ipynb\n", " Trapezoid Rule.ipynb\n", " Typesetting Math Using MathJax.ipynb\n", " User Interface.ipynb\n", "./images/\n", " animation.m4v\n", " command_mode.png\n", " edit_mode.png\n", " menubar_toolbar.png\n", " python_logo.svg\n", "./nbpackage/\n", " __init__.py\n", " mynotebook.ipynb\n", "./nbpackage/nbs/\n", " __init__.py\n", " other.ipynb" ] } ], "prompt_number": 11 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Embedded vs Non-embedded Images" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "By default, image data is embedded in the Notebook document so that the images can be viewed offline. However it is also possible to tell the `Image` class to only store a *link* to the image. Let's see how this works using a webcam at Berkeley." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import Image\n", "img_url = 'http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg'\n", "\n", "# by default Image data are embedded\n", "Embed = Image(img_url)\n", "\n", "# if kwarg `url` is given, the embedding is assumed to be false\n", "SoftLinked = Image(url=img_url)\n", "\n", "# In each case, embed can be specified explicitly with the `embed` kwarg\n", "# ForceEmbed = Image(url=img_url, embed=True)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here is the embedded version. Note that this image was pulled from the webcam when this code cell was originally run and stored in the Notebook. Unless we rerun this cell, this is not todays image." ] }, { "cell_type": "code", "collapsed": false, "input": [ "Embed" ], "language": "python", "metadata": {}, "outputs": [ { "jpeg": 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ahzq+lu8VqInS3fVsHvFEGG7xU4bvFVE4bvFHpd4oqfS7xU4bv+ND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\nGFBLLcJ6O5lkffu4cK9Fb3WzjaRpeSOZY0yGbWQ3t+zXz+XK4SXCdpK//9k=\n", "metadata": {}, "output_type": "pyout", "prompt_number": 13, "text": [ "" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here is today's image from same webcam at Berkeley, (refreshed every minutes, if you reload the notebook), visible only with an active internet connection, that should be different from the previous one. Notebooks saved with this kind of image will be lighter and always reflect the current version of the source, but the image won't display offline." ] }, { "cell_type": "code", "collapsed": false, "input": [ "SoftLinked" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "pyout", "prompt_number": 14, "text": [ "" ] } ], "prompt_number": 14 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Of course, if you re-run this Notebook, the two images will be the same again." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Audio" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython makes it easy to work with sounds interactively. The `Audio` display class allows you to create an audio control that is embedded in the Notebook. The interface is analogous to the interface of the `Image` display class. All audio formats supported by the browser can be used. Note that no single format is presently supported in all browsers." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import Audio\n", "Audio(url=\"http://www.nch.com.au/acm/8k16bitpcm.wav\")" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "pyout", "prompt_number": 15, "text": [ "" ] } ], "prompt_number": 15 }, { "cell_type": "markdown", "metadata": {}, "source": [ "A Numpy array can be auralized automatically. The Audio class normalizes and encodes the data and embed the result in the Notebook.\n", "\n", "For instance, when two sine waves with almost the same frequency are superimposed a phenomena known as [beats](https://en.wikipedia.org/wiki/Beat_%28acoustics%29) occur. This can be auralised as follows" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import numpy as np\n", "max_time = 3\n", "f1 = 220.0\n", "f2 = 224.0\n", "rate = 8000.0\n", "L = 3\n", "times = np.linspace(0,L,rate*L)\n", "signal = np.sin(2*np.pi*f1*times) + np.sin(2*np.pi*f2*times)\n", "\n", "Audio(data=signal, rate=rate)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "pyout", "prompt_number": 16, "text": [ "" ] } ], "prompt_number": 16 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Video" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "More exotic objects can also be displayed, as long as their representation supports the IPython display protocol. For example, videos hosted externally on YouTube are easy to load (and writing a similar wrapper for other hosted content is trivial):" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import YouTubeVideo\n", "# a talk about IPython at Sage Days at U. Washington, Seattle.\n", "# Video credit: William Stein.\n", "YouTubeVideo('1j_HxD4iLn8')" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "pyout", "prompt_number": 17, "text": [ "" ] } ], "prompt_number": 17 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using the nascent video capabilities of modern browsers, you may also be able to display local\n", "videos. At the moment this doesn't work very well in all browsers, so it may or may not work for you;\n", "we will continue testing this and looking for ways to make it more robust. \n", "\n", "The following cell loads a local file called `animation.m4v`, encodes the raw video as base64 for http\n", "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control\n", "bar at the bottom with a play/pause button and a location slider." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import HTML\n", "from base64 import b64encode\n", "video = open(\"images/animation.m4v\", \"rb\").read()\n", "video_encoded = b64encode(video).decode('ascii')\n", "video_tag = '