pax_global_header00006660000000000000000000000064141437256000014514gustar00rootroot0000000000000052 comment=aa2fe645dddb2e1129c88bebf25fffdc4ccd8259 pyepr-1.1.3/000077500000000000000000000000001414372560000126555ustar00rootroot00000000000000pyepr-1.1.3/.coveragerc000066400000000000000000000001301414372560000147700ustar00rootroot00000000000000[run] plugins = Cython.Coverage source = src branch = True # omit = */Cython/Includes/* pyepr-1.1.3/.github/000077500000000000000000000000001414372560000142155ustar00rootroot00000000000000pyepr-1.1.3/.github/workflows/000077500000000000000000000000001414372560000162525ustar00rootroot00000000000000pyepr-1.1.3/.github/workflows/python-package.yml000066400000000000000000000070601414372560000217120ustar00rootroot00000000000000# This workflow will install Python dependencies, run tests and lint with a variety of Python versions # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions name: CI # Triggers the workflow on push or pull request events on: push: pull_request: schedule: - cron: '2 1 * * 1' jobs: build: runs-on: ${{ matrix.os }} strategy: fail-fast: false matrix: os: [ubuntu-latest, macos-latest, windows-latest] python-version: ['3.7', '3.8', '3.9', '3.10'] include: - os: ubuntu-latest python-version: pypy3 steps: - uses: actions/checkout@v2 with: fetch-depth: 0 submodules: true - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v2 with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: | python -m pip install --upgrade setuptools pip wheel python -m pip install sphinx coverage codecov pytest - name: Build and install run: | python -m pip install . - name: Test with pytest run: | python -c "\ import sys, epr, numpy as np;\ print('PyEPR: %s' % epr.__version__);\ print('EPR API: %s' % epr.EPR_C_API_VERSION);\ print('Numpy: %s' % np.__version__);\ print('Python: %s' % sys.version)" pytest -v syslibs: runs-on: ubuntu-latest strategy: fail-fast: false matrix: python-version: [3.9] steps: - uses: actions/checkout@v2 with: fetch-depth: 0 submodules: true - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v2 with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: | sudo apt-get -y install libepr-api-dev python -m pip install --upgrade setuptools pip wheel python -m pip install sphinx coverage codecov pytest - name: Build and install run: | python -m pip install --install-option='--epr-api-src=""' . - name: Test with pytest run: | python -c "\ import sys, epr, numpy as np;\ print('PyEPR: %s' % epr.__version__);\ print('EPR API: %s' % epr.EPR_C_API_VERSION);\ print('Numpy: %s' % np.__version__);\ print('Python: %s' % sys.version)" pytest -v coverage: runs-on: ubuntu-latest strategy: fail-fast: false matrix: python-version: [3.9] env: OS: ubuntu-latest PYTHON: '3.9' steps: - uses: actions/checkout@v2 with: fetch-depth: 0 submodules: true - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v2 with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: | python -m pip install --upgrade setuptools pip wheel python -m pip install sphinx coverage codecov python -m pip install -r requirements-dev.txt - name: Build and install run: | make coverage-report - name: Print info run: | python -c "\ import sys, epr, numpy as np;\ print('PyEPR: %s' % epr.__version__);\ print('EPR API: %s' % epr.EPR_C_API_VERSION);\ print('Numpy: %s' % np.__version__);\ print('Python: %s' % sys.version)" - name: Upload coverage to Codecov uses: codecov/codecov-action@v2 with: env_vars: OS,PYTHON verbose: true pyepr-1.1.3/.github/workflows/wheels.yml000066400000000000000000000013631414372560000202670ustar00rootroot00000000000000name: Wheels on: push: branches: - 'releases/**' tags: - v* jobs: build_wheels: name: Build wheels on ${{ matrix.os }} runs-on: ${{ matrix.os }} strategy: matrix: os: [ubuntu-20.04, windows-2019, macOS-10.15] steps: - uses: actions/checkout@v2 with: fetch-depth: 0 submodules: true # Used to host cibuildwheel - uses: actions/setup-python@v2 - name: Install cibuildwheel run: python -m pip install cibuildwheel - name: Build wheels run: python -m cibuildwheel --output-dir wheelhouse env: CIBW_SKIP: pp*-macosx* - uses: actions/upload-artifact@v2 with: path: ./wheelhouse/*.whl pyepr-1.1.3/.gitignore000066400000000000000000000040641414372560000146510ustar00rootroot00000000000000# Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ share/python-wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .nox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover *.py,cover .hypothesis/ .pytest_cache/ cover/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py db.sqlite3 db.sqlite3-journal # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder .pybuilder/ target/ # Jupyter Notebook .ipynb_checkpoints # IPython profile_default/ ipython_config.py # pyenv # For a library or package, you might want to ignore these files since the code is # intended to run in multiple environments; otherwise, check them in: # .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies # having no cross-platform support, pipenv may install dependencies that don't work, or not # install all needed dependencies. #Pipfile.lock # PEP 582; used by e.g. github.com/David-OConnor/pyflow __pypackages__/ # Celery stuff celerybeat-schedule celerybeat.pid # SageMath parsed files *.sage.py # Environments .env .venv env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ .dmypy.json dmypy.json # Pyre type checker .pyre/ # pytype static type analyzer .pytype/ # Cython debug symbols cython_debug/ # misc SciTEDirectory.properties .idea .DS_Store .vscode .venv* pyepr-1.1.3/.gitmodules000066400000000000000000000001651414372560000150340ustar00rootroot00000000000000[submodule "extern/epr-api"] path = extern/epr-api url = https://github.com/avalentino/epr-api.git branch = pyepr pyepr-1.1.3/.readthedocs.yml000066400000000000000000000002511414372560000157410ustar00rootroot00000000000000version: 2 build: image: latest submodules: include: all python: install: - requirements: requirements-dev.txt - method: pip path: . formats: [] pyepr-1.1.3/LICENSE.txt000066400000000000000000001045131414372560000145040ustar00rootroot00000000000000 GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc. 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But first, please read . pyepr-1.1.3/MANIFEST.in000066400000000000000000000010621414372560000144120ustar00rootroot00000000000000recursive-include LICENSES *.txt recursive-include tests *.py recursive-include src *.pyx *.pxd # recursive-include src *.c recursive-include extern/epr-api/src *.c *.h exclude extern/epr-api/* recursive-exclude extern/epr-api/src/api-test * recursive-exclude extern/epr-api/src/examples * recursive-exclude extern/epr-api/src/test * recursive-include doc *.rst *.txt *.py Makefile make.bat *.png recursive-include doc/_templates *.html recursive-include doc/pydoctheme * recursive-include doc/html * recursive-exclude doc/_build * recursive-exclude .github * pyepr-1.1.3/Makefile000066400000000000000000000062361414372560000143240ustar00rootroot00000000000000#!/usr/bin/make -f # -*- coding: utf-8 -*- # Copyright (C) 2011-2021, Antonio Valentino # # This file is part of PyEPR. # # PyEPR is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # PyEPR is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with PyEPR. If not, see . PYTHON = python3 CYTHON = $(PYTHON) -m cython CYTHONFLAGS=$(shell $(CYTHON) --help | grep -o -- '--3str') TEST_DATSET = tests/$(shell grep N1 tests/test_all.py | cut -d "'" -f 2) EPRAPIROOT = extern/epr-api .PHONY: default ext cythonize sdist eprsrc fullsdist doc clean distclean \ check debug data upload manylinux coverage ext-coverage coverage-report default: ext ext: src/epr.pyx $(PYTHON) setup.py build_ext --inplace --epr-api-src=$(EPRAPIROOT)/src cythonize: src/epr.c src/epr.c: src/epr.pyx $(CYTHON) $(CYTHONFLAGS) src/epr.pyx sdist: doc $(PYTHON) -m build --sdist LICENSES/epr-api.txt: mkdir LICENSES cp $(EPRAPIROOT)/LICENSE.txt LICENSES/epr-api.txt eprsrc: LICENSES/epr-api.txt fullsdist: doc eprsrc $(PYTHON) -m build --sdist upload: fullsdist twine check dist/pyepr-*.tar.gz twine upload dist/pyepr-*.tar.gz doc: $(MAKE) -C doc html $(RM) -r doc/html mv doc/_build/html doc/html clean: $(PYTHON) setup.py clean --all $(RM) -r build dist pyepr.egg-info wheelhouse $(RM) -r $$(find doc -name __pycache__) $$(find tests -name __pycache__) $(RM) MANIFEST src/*.c src/*.o *.so $(RM) tests/*.py[co] doc/sphinxext/*.py[co] README.html $(MAKE) -C doc clean $(RM) -r doc/_build find . -name '*~' -delete $(RM) *.c *.o *.html .coverage coverage.xml $(RM) src/epr.html $(RM) -r htmlcov .pytest_cache .hypothesis $(RM) epr.p* # workaround for Cython.Coverage bug #1985 distclean: clean $(RM) $(TEST_DATSET) $(RM) -r doc/html $(RM) -r LICENSES $(MAKE) -C tests -f checksetup.mak distclean $(RM) -r .eggs check: ext env PYTHONPATH=. $(PYTHON) tests/test_all.py --verbose ext-coverage: src/epr.pyx env PYEPR_COVERAGE=TRUE $(PYTHON) setup.py build_ext --inplace coverage: clean ext-coverage ln -s src/epr.p* . # workaround for Cython.Coverage bug #1985 env PYEPR_COVERAGE=TRUE PYTHONPATH=. \ $(PYTHON) -m coverage run --branch --source=src setup.py test env PYTHONPATH=. $(PYTHON) -m coverage report coverage-report: coverage env PYTHONPATH=. $(PYTHON) -m cython -E CYTHON_TRACE_NOGIL=1 \ -X linetrace=True -X language_level=3str \ --annotate-coverage coverage.xml src/epr.pyx env PYTHONPATH=. $(PYTHON) -m coverage xml -i env PYTHONPATH=. $(PYTHON) -m coverage html -i cp src/epr.html htmlcov debug: $(PYTHON)d setup.py build_ext --inplace --debug wheels: # make distclean # python3 -m pip install -U cibuildwheel python3 -m cibuildwheel --output-dir wheelhouse --platform linux pyepr-1.1.3/README.rst000066400000000000000000000110101414372560000143350ustar00rootroot00000000000000================================= ENVISAT Product Reader Python API ================================= :HomePage: https://avalentino.github.io/pyepr :Author: Antonio Valentino :Contact: antonio.valentino@tiscali.it :Copyright: 2011-2021, Antonio Valentino :Version: 1.1.3 .. image:: https://github.com/avalentino/pyepr/actions/workflows/python-package.yml/badge.svg?branch=master :alt: CI status page :target: https://github.com/avalentino/pyepr/actions .. image:: https://img.shields.io/pypi/v/pyepr :alt: Latest Version :target: https://pypi.org/project/pyepr .. image:: https://img.shields.io/pypi/pyversions/pyepr :alt: Supported Python versions :target: https://pypi.org/project/pyepr .. image:: https://img.shields.io/pypi/l/pyepr :alt: License :target: https://pypi.org/project/pyepr .. image:: https://img.shields.io/pypi/wheel/pyepr :alt: Wheel Status :target: https://pypi.org/project/pyepr .. image:: https://readthedocs.org/projects/pyepr/badge :alt: Documentation Status :target: https://pyepr.readthedocs.io/en/latest .. image:: https://codecov.io/gh/avalentino/pyepr/branch/master/graph/badge.svg :alt: Coverage Status :target: https://codecov.io/gh/avalentino/pyepr Introduction ============ PyEPR_ provides Python_ bindings for the ENVISAT Product Reader C API (`EPR API`_) for reading satellite data from ENVISAT_ ESA_ (European Space Agency) mission. PyEPR_, as well as the `EPR API`_ for C, supports ENVISAT_ MERIS, AATSR Level 1B and Level 2 and also ASAR data products. It provides access to the data either on a geophysical (decoded, ready-to-use pixel samples) or on a raw data layer. The raw data access makes it possible to read any data field contained in a product file. .. _PyEPR: https://github.com/avalentino/pyepr .. _Python: https://www.python.org .. _`EPR API`: https://github.com/bcdev/epr-api .. _ENVISAT: https://envisat.esa.int .. _ESA: https://earth.esa.int Requirements ============ In order to use PyEPR it is needed that the following software are correctly installed and configured: * Python3_ >= 3.5 (including PyPy3_) * numpy_ >= 1.7.0 * `EPR API`_ >= 2.2 (optional, since PyEPR 0.7 the source tar-ball comes with a copy of the EPR C API sources) * a reasonably updated C compiler (build only) * Cython_ >= 0.29 (build only) .. _Python3: Python_ .. _PyPy3: https://www.pypy.org .. _numpy: https://numpy.org .. _gcc: https://gcc.gnu.org .. _Cython: https://cython.org Download ======== Official source tar-balls can be downloaded form PyPi_: https://pypi.org/project/pyepr The source code of the development versions is available on the GitHub_ project page https://github.com/avalentino/pyepr To clone the git_ repository the following command can be used:: $ git clone https://github.com/avalentino/pyepr.git To get also the EPR C API source code, the following commands are necessary:: $ cd pyepr $ git submodule init Submodule 'extern/epr-api' (https://github.com/avalentino/epr-api.git) registered for path 'extern/epr-api' $ git submodule update Cloning into '/Users/antonio valentino/projects/av/pyepr/extern/epr-api'... Submodule path 'extern/epr-api': checked out '93c1f1efce26c64d508fe882d5c72a898a068f29' .. _PyPi: https://pypi.org .. _GitHub: https://github.com .. _git: https://git-scm.com Installation ============ The easier way to install PyEPR_ is using tools like pip_:: $ python3 -m pip install pyepr or:: $ python3 -m pip install -U --prefix= PyEPR_ can be installed from the source tar-ball using the following command:: $ python3 setup.py install To install PyEPR_ in a non-standard path:: $ python3 setup.py install --prefix= .. _pip: https://pypi.python.org/pypi/pip License ======= Copyright (C) 2011-2021 Antonio Valentino PyEPR is free software: you can redistribute it and/or modify it under the terms of the `GNU General Public License`_ as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PyEPR is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with PyEPR. If not, see . .. _`GNU General Public License`: http://www.gnu.org/licenses/gpl-3.0.html pyepr-1.1.3/doc/000077500000000000000000000000001414372560000134225ustar00rootroot00000000000000pyepr-1.1.3/doc/Makefile000066400000000000000000000011721414372560000150630ustar00rootroot00000000000000# Minimal makefile for Sphinx documentation # # You can set these variables from the command line, and also # from the environment for the first two. SPHINXOPTS ?= SPHINXBUILD ?= sphinx-build SOURCEDIR = . BUILDDIR = _build # Put it first so that "make" without argument is like "make help". help: @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) .PHONY: help Makefile # Catch-all target: route all unknown targets to Sphinx using the new # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) pyepr-1.1.3/doc/NEWS.rst000066400000000000000000000353771414372560000147470ustar00rootroot00000000000000Change history ============== PyEPR 1.1.3 (13/09/2021) ------------------------ * Do not use the deprecated distutils package. * Improve command line arguments management in ``setup.py``. * Stop distributing .c code auto-generated by Cython_ in the source tarball. Now the .c code is generated by Cython_ during the build package phase. PyEPR 1.1.2 (06/11/2021) ------------------------ * Enable CI testing with Python 3.10. * Update the internal copu of EPR C API to v2.3dev_pyerp112. PyEPR 1.1.1 (07/08/2021) ------------------------ * Fix a serious issue in sdist generation. PyEPR 1.1.0 (06/08/2021) ------------------------ * Old Python versions are no longer officially supported. Now PyEPR require Python >= 3.5 and Cython_ >= v0.29. * Introduced the ``pyproject.toml`` file. * The ``setup.py`` script has been simplified and modernized, now it always use setuptools_ and ``setup.cfg``. * Now the EPR C API is handled using git submodule. * Fixed potential crash in cases in which the EPR C API fails to open the requested product * Update the test suite to use the public product ``ASA_APM_1PNPDE20091007_025628_000000432083_00118_39751_9244.N1``. The previously used one is no longer available. * Continuous Integration moved to GitHub Actions (GHA). * Fix a leak of resources on Windows platforms. * The ``print_()`` method of :class:`Field` and :class:`Record` classes has been renamed into ``print()``. The old ``print_()`` method is now deprecated and will be removed in future versions. * Support for :mod:`pathlib`. * Enforce type checking. PyEPR 1.0.1 (07/03/2020) ------------------------ * Fixed a problem in the test using the :data:`epr.Product._fileno` (only impacting MacOS-X). Also some advice about the correct use of :data:`epr.Product._fileno` has been added to the documentation. * Always close the product object during tests. Prevents errors during CI cleanup actions on Windows. PyEPR 1.0.0 (08/09/2019) ------------------------ * Do not use deprecated numpy_ API (requires Cython_ >= 0.29) * Minimal numpy_ version is now v1.7 * Set Cython_ 'language_level` explicitly to '3str' if Cython_ >= v0.29, to '2' otherwise * Python v2.6, v3.2, v3.3 and v3.4 are now deprecated. Support for the deprecated Python version will be removed in future releases of PyEPR PyEPR 0.9.5 (23/08/2018) ------------------------ * Fix compatibility with numpy_ >= 1.14: :func:`np.fromstring` is deprecated * Update the pypi sidebar in the documentation * Use `.rst` extension for doc source files * Fix setup script to not use system libs if epr-api sources are available * Do not access fields of bands after that the product has been closed (fix a segmentation fault on windows) * `unittest2`_ is now required for Python < 3.4 .. _unittest2: https://pypi.org/project/unittest2 PyEPR 0.9.4 (29/04/2018) ------------------------ * Fix compatibility with Cython_ >= 0.28 * PyEPR has been successfully tested with PyPy_ .. _PyPy: https://www.pypy.org PyEPR 0.9.3 (02/05/2015) ------------------------ * Fix PyEprExtension class in setup.py (closes :issue:`11`) * Updated internal EPR API version PyEPR 0.9.2 (08/03/2015) ------------------------ * Improved string representation of fields in case of :data:`E_TID_STRING` data type. Now bytes are decoded and represented as Python strings. * New tutorial :doc:`gdal_export_example` * Improved "Installation" and "Testing" sections of the user manual PyEPR 0.9.1 (27/02/2015) ------------------------ * Fix source distribution (missing EPR API C sources) PyEPR 0.9 (27/02/2015) ---------------------- * basic support for update mode: products can now be opened in update mode ('rb+') and it is possible to call :meth:`epr.Field.set_elem` and :meth:`epr.Field.set_elems` methods to set :class:`epr.Field` elements changing the contents of the :class:`epr.Product` on disk. This feature is not available in the EPR C API. * new functions/methods and properties: - :attr:`epr.Record.index` property: returns the index of the :class:`epr.Record` within the :class:`epr.Dataset` - :attr:`epr.Band.dataset` property: returns the source :class:`epr.Dataset` object containing the raw data used to create the :class:`epr.Band`\ ’s pixel values - :attr:`epr.Band._field_index` and :attr:`epr.Band._elem_index` properties: return the :class:`epr.Field` index (within the :class:`epr.Record`) and the element index (within the :class:`epr.Field`) containing the raw data used to create the :class:`epr.Band`\ ’s pixel values - :attr:`epr.Record.dataset_name` property: returns the name of the :class:`epr.Dataset` from which the :class:`Record` has bee read - :attr:`epr.Record.tot_size` and :attr:`epr.Field.tot_size` properties: return the total size in bytes of the :class:`epr.Record` and :class:`epr.Field` respectively - :func:`epr.get_numpy_dtype` function: retrieves the numpy_ data type corresponding to the specified EPR type ID - added support for some low level feature: the *_magic* private attribute stores the identifier of EPR C stricture, the :meth:`epr.Record.get_offset` returns the offset in bytes of the :class:`epr.Record` within the file, and the :meth:`epr.Field.get_offset` method returns the :clasS:`epr.Field` offset within the :class:`epr.Record` * improved functions/methods: - :meth:`epr.Field.get_elems` now also handles :data:`epr.E_TID_STRING` and :data:`epr.E_TID_TIME` data types - improved :func:`epr.get_data_type_size`, :func:`epr.data_type_id_to_str`, :func:`epr.get_scaling_method_name` and :func:`epr.get_sample_model_name` functions that are now defined using the cython `cpdef` directive - the :meth:`epr.Field.get_elems` method has been re-written to remove loops and unnecessary data copy - now generator expressions are used to implement `__iter__` special methods * the *index* parameter of the :meth:`epr.Dataset.read_record` method is now optional (defaults to zero) * the deprecated `__revision__` variable has been removed * declarations of the EPR C API have been moved to the new :file:`epr.pyd` * the `const_char` and `const_void` definitions have been dropped, no longer necessary with Cython_ >= 0.19 * minimum required version for Cython_ is now 0.19 * the :file:`setup.py` script has been completely rewritten to be more "pip_ friendly". The new script uses setuptools_ if available and functions that use numpy_ are evaluated lazily so to give a chance to pip_ and setuptools_ to install dependencies, numpy_, before they are actually used. This should make PyEPR "pip-installable" even on system there numpy_ is not already installed. * the :file:`test` directory has been renamed into :file:`tests` * the test suite now has a :func:`setUpModule` function that automatically downloads the ENVISAT test data required for test execution. The download only happens if the test dataset is not already available. * tests can now be run using the :file:`setup.py` script:: $ python3 setup.py test * enable continuous integration and testing in for Windows_ using AppVeyor_ (32bit only) * status badges for `AppVeyor CI `_ and PyPI_ added to the HTML doc index .. _pip: https://pip.pypa.io .. _setuptools: https://github.com/pypa/setuptools .. _numpy: https://numpy.org .. _Windows: https://windows.microsoft.com .. _AppVeyor: https://www.appveyor.com .. _PyPI: https://pypi.org/project/pyepr PyEPR 0.8.2 (03/08/2014) ------------------------ * fixed segfault caused by incorrect access to :attr:`epr.Dataset.description` string in case of closed products * fixed a memory leak in :class:`epr.Raster` (closes :issue:`10`) * the size parameters (*src_width* and *src_height*) in :meth:`epr.Band.create_compatible_raster` are now optional. By default a :class:`epr.Raster` with the same size of the scene is created * the test suite have been improved * improved the :doc:`NDVI computation example ` * updates sphinx config * small clarification in the :ref:`installation` section of the :doc:`usermanual`. * EPR C API (version bundled with the official source tar-ball) - in case of error always free resources before setting the error code. This avoids error shadowing in some cases. - fixed a bug that caused reading of the incorrect portion of data in case of mirrored annotation datasets (closes :issue:`9`) - fixed a bug that caused incorrect data sub-sampling in case of mirrored datasets PyEPR 0.8.1 (07/09/2013) ------------------------ * fixed an important bug in the error checking code introduced in previous release (closes :issue:`8`) * fixed the NDVI example * no more display link URL in footnotes of the PDF User Manual PyEPR 0.8 (07/09/2013) ---------------------- * now the :class:`epr.Product` objects have a :meth:`epr.Product.close` method that can be used to explicitly close products without relying on the garbage collector behaviour (closes :issue:`7`) * new :attr:`epr.Product.closed` (read-only) attribute that can be used to check if a :class:`epr.Product` has been closed * the :class:`Product` class now supports context management so they can be used in ``with`` statements * added entries for :data:`epr.__version__` and :data:`epr.__revision__` in the reference manual * the :data:`epr.__revision__` module attribute is now deprecated * some *cythonization* warnings have been fixed * several small improvements to the documentation PyEPR 0.7.1 (19/08/2013) ------------------------ * fixed potential issues with conversion from python strings to ``char*`` * new snapshot of the EPR C API sources (2.3dev): - the size of the record tables has been fixed - the EPR_NUM_PRODUCT_TABLES has been fixed - fixed a missing prototype - several GCC warnings has been silenced - additional checks on return codes - now and error is raised when an invalid flag name is used * better factorization of Python 3 specific code * use the *CLOUD* flag instead of *BRIGHT* in unit tests * added function/method signature to all doc-strings for better interactive help * several improvements to the documentation: - updated the :file:`README.txt` file to mention EPR C API sourced inclusion in the PyEPR 0.7 (and lates) source tar-ball - small fix in the installation instructions: the pip_ tool does not have a "--prefix" parameter - always use the python3 syntax for the *print* function in all examples in the documentation - links to older (and dev) versions of the documentation have been added in the man page of the HTML doc - removed *date* form the doc meta-data. The documentation build date is reported in the front page of the LaTeX (PDF) doc and, starting from this release, in the footer of the HTML doc. - the Ohloh_ widget has been added in the sidebar of the HTML doc - improved the regexp for detecting the SW version in the :file`setup.py` script - formatting .. _Ohloh: https://www.openhub.net PyEPR 0.7 (04/08/2013) ---------------------- * more detailed error messages in case of open failures * new sphinx theme for the HTML documentation * `Travis-CI`_ has been set-up for the project * now the source tar-ball also includes a copy of the EPR C API sources so that no external C library is required to build PyEPR. This features also makes it easier to install PyEPR using pip_. The user can still guild PyEPR against a system version of the ERP-API library simply using the `--epr-api-src` option of the :file:`setup.py` script with "None"" as value. The ERP C API included in the source tar-ball is version *2.3dev-pyepr062*, a development and patched version that allows the following enhancements. - support for ERS products in ENVISAT format - support for ASAR products generated with the new ASAR SW version 6.02 (ref. doc. PO-RS-MDA-GS-2009_4/C - fix incorrect reading of "incident_angle" bands (closes :issue:`6`). The issue is in the EPR C API. .. _`Travis-CI`: https://travis-ci.org/avalentino/pyepr PyEPR 0.6.1 (26/04/2012) ------------------------ * fix compatibility with Cython_ 0.16 * added a new option to the setup script (`--epr-api-src`) to build PyEPR using the EPR-API C sources PyEPR 0.6 (12/08/2011) ---------------------- * full support for `Python 3`_ * improved code highligh in the documentation * depend from cython >= 0.13 instead of cython >= 0.14.1. Cythonizing :file:`epr.pyx` with `Python 3`_ requires cython >= 0.15 PyEPR 0.5 (25/04/2011) ---------------------- * stop using :c:func:`PyFile_AsFile` that is no more available in `Python 3`_ * now documentation uses intersphinx_ capabilities * code examples added to documentation * tutorials added to documentation * the LICENSE.txt file is now included in the source distribution * the Cython_ construct ``with nogil`` is now used instead of calling :c:func:`Py_BEGIN_ALLOW_THREADS` and :c:func:`Py_END_ALLOW_THREADS` directly * dropped old versions of Cython_; now Cython_ 0.14.1 or newer is required * suppressed several constness related warnings .. _`Python 3`: https://docs.python.org/3 .. _intersphinx: https://www.sphinx-doc.org/en/master/usage/extensions/intersphinx.html .. _Cython: https://cython.org PyEPR 0.4 (10/04/2011) ---------------------- * fixed a bug in the :meth:`epr.Product.__str__`, :meth:`Dataset.__str__` and :meth:`erp.Band.__repr__` methods (bad formatting) * fixed :meth:`epr.Field.get_elems` method for char and uchar data types * implemented :meth:`epr.Product.read_bitmask_raster`, now the :class:`epr.Product` API is complete * fixed segfault in :meth:`epr.Field.get_unit` method when the field has no unit * a smaller dataset is now used for unit tests * a new tutorial section has been added to the user documentation PyEPR 0.3 (01/04/2011) ---------------------- * version string of the EPR C API is now exposed as module attribute :data:`epr.EPR_C_API_VERSION` * implemented ``__repr__``, ``__str__``, ``__eq__``, ``__ne__`` and ``__iter__`` special methods * added utility methods (not included in the C API) like: - :meth:`epr.Record.get_field_names` - :meth:`epr.Record.fields` - :meth:`epr.Dataset.records` - :meth:`epr.Product.get_dataset_names` - :meth:`epr.Product.get_band_names` - :meth:`epr.Product.datasets` - :meth:`epr.Product.bands` * fixed a logic error that caused empty messages in custom EPR exceptions PyEPR 0.2 (20/03/2011) ---------------------- * sphinx_ documentation added * added docstrings to all method and classes * renamed some method and parameter in order to avoid redundancies and have a more *pythonic* API * in case of null pointers a :exc:`epr.EPRValueError` is raised * improved C library shutdown management * introduced some utility methods to :class:`epr.Product` and :class:`epr.Record` classes .. _sphinx: https://www.sphinx-doc.org PyEPR 0.1 (09/03/2011) ---------------------- Initial release pyepr-1.1.3/doc/_static/000077500000000000000000000000001414372560000150505ustar00rootroot00000000000000pyepr-1.1.3/doc/_static/empty.txt000066400000000000000000000000001414372560000167350ustar00rootroot00000000000000pyepr-1.1.3/doc/_templates/000077500000000000000000000000001414372560000155575ustar00rootroot00000000000000pyepr-1.1.3/doc/_templates/codecov.html000066400000000000000000000003061414372560000200660ustar00rootroot00000000000000 pyepr-1.1.3/doc/_templates/gha.html000066400000000000000000000003471414372560000172100ustar00rootroot00000000000000 pyepr-1.1.3/doc/_templates/ohloh.html000066400000000000000000000001771414372560000175630ustar00rootroot00000000000000
pyepr-1.1.3/doc/_templates/pypi.html000066400000000000000000000011541414372560000174270ustar00rootroot00000000000000 pyepr-1.1.3/doc/_templates/readthedocs.html000066400000000000000000000002501414372560000207270ustar00rootroot00000000000000 pyepr-1.1.3/doc/bands_example.rst000066400000000000000000000112211414372560000167530ustar00rootroot00000000000000Exporting band data ------------------- .. index:: ENVISAT, band, raster This tutorial shows how to convert ENVISAT_ raster information from dataset and generate flat binary rasters using PyEPR_. The program generates as many raster as the dataset specified in input. The example code (:download:`examples/write_bands.py`) is a direct translation of the C sample program `write_bands.c`_ bundled with the EPR API distribution. The program is invoked as follows: .. code-block:: sh $ python write_bands.py \ \ [ ... ] .. _ENVISAT: https://envisat.esa.int .. _PyEPR: https://github.com/avalentino/pyepr .. _`write_bands.c`: https://github.com/bcdev/epr-api/blob/master/src/examples/write_bands.c Import section ~~~~~~~~~~~~~~ To use the Python_ EPR API one have to import :mod:`epr` module. At first import time the underlaying C library is opportunely initialized. .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bands.py :language: python :lines: 1-11 The main program ~~~~~~~~~~~~~~~~ The main program in quite simple (this is just an example). .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bands.py :language: python :lines: 48- It performs some basic command line arguments handling and then open the input product. .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bands.py :language: python :lines: 89-90 Finally the core function (:func:`write_raw_image`) is called on each band specified on the command: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bands.py :language: python :lines: 91-92 The :func:`write_raw_image` core function ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The core function is :func:`write_raw_image`. .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bands.py :language: python :pyobject: write_raw_image It generates a flat binary file with data of a single band whose name is specified as input parameter. First the output file name is computed using the :mod:`os` module. .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bands.py :language: python :lines: 19-20 Then the desired band is retrieved using the :meth:`epr.Product.get_band` method and some of its parameters are loaded in to local variables: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bands.py :language: python :lines: 22 Band data are accessed by means of a :class:`epr.Raster` object. .. seealso:: :func:`epr.Band.read_as_array` The :meth:`epr.Band.create_compatible_raster` is a facility method that allows to instantiate a :class:`epr.Raster` object with a data type compatible with the band data: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bands.py :language: python :lines: 28-29 Then data are read using the :meth:`epr.Band.read_raster` method: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bands.py :language: python :lines: 31-32 Then the output file object is created (in binary mode of course) and data are copied to the output file one line at time .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bands.py :language: python :lines: 34-36 Please note that it has been used :data:`epr.Raster.data` attribute of the :class:`epr.Raster` objects that exposes :class:`epr.Raster` data with the powerful :class:`numpy.ndarray` interface. .. note:: copying one line at time is not the best way to perform the task in Python_. It has been done just to mimic the original C code: .. code-block:: c out_stream = fopen(image_file_path, "wb"); if (out_stream == NULL) { printf("Error: can't open '%s'\n", image_file_path); return 3; } for (y = 0; y < (uint)raster->raster_height; ++y) { numwritten = fwrite(epr_get_raster_line_addr(raster, y), raster->elem_size, raster->raster_width, out_stream); if (numwritten != raster->raster_width) { printf("Error: can't write to %s\n", image_file_path); return 4; } } fclose(out_stream); A by far more "pythonic" solution would be:: raster.data.tofile(out_stream) .. _Python: https://www.python.org .. raw:: latex \clearpage pyepr-1.1.3/doc/bitmask_example.rst000066400000000000000000000070171414372560000173260ustar00rootroot00000000000000Exporting bitmasks ------------------- .. index:: bitmask, ENVISAT This tutorial shows how to generate bit masks from ENVISAT_ flags information as "raw" image using PyEPR_. The example code (:download:`examples/write_bitmask.py`) is a direct translation of the C sample program `write_bitmask.c`_ bundled with the EPR API distribution. The program is invoked as follows: .. code-block:: sh $ python write_bitmask.py \ .. _ENVISAT: https://envisat.esa.int .. _PyEPR: https://github.com/avalentino/pyepr .. _`write_bitmask.c`: https://github.com/bcdev/epr-api/blob/master/src/examples/write_bitmask.c The :download:`examples/write_bitmask.py` code consists in a single function that also includes command line arguments handling: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bitmask.py :language: python .. index:: EPR-API, module pair: epr; module In order to use the Python_ EPR API the :mod:`epr` module is imported: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bitmask.py :lines: 25 .. index:: product, open pair: with; statement As usual the ENVISAT_ product is opened using the :func:`epr.open` function that returns an :class:`epr.Product` instance. In this case the :func:`epr.open` is used together with a ``with`` statement so that the :class:`epr.Product` instance is closed automatically when the program exits the ``with`` block. .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bitmask.py :language: python :lines: 49-50 .. index:: product Scene size parameters are retrieved form the :class:`epr.Product` object using the :meth:`epr.Product.get_scene_width` and :meth:`epr.Product.get_scene_height` methods: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bitmask.py :language: python :lines: 53-54 The EPR API allows to manage data by means of :class:`epr.Raster` objects, so the function :func:`epr.create_bitmask_raster`, specific for bitmasks, is used to create a :class:`epr.Raster` instance. .. seealso:: :func:`epr.create_raster` Data are actually read using the :meth:`epr.Product.read_bitmask_raster` method of the :class:`epr.Product` class: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bitmask.py :language: python :lines: 61 The :meth:`epr.Product.read_bitmask_raster` method receives in input the *bm_expr* parameter that is set via command line: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bitmask.py :language: python :lines: 46 *bm_expr* is a string that define the logical expression for the definition of the bit-mask. In a bit-mask expression, any number of the flag-names (found in the DDDB) can be composed with “(â€, â€)â€, “NOTâ€, “ANDâ€, “ORâ€. .. index:: AND, OR, NOT, DDDB Valid bit-mask expression are for example:: flags.LAND OR flags.CLOUD or:: NOT flags.WATER AND flags.TURBID_S Finally data are written to disk as a flat binary file using the :meth:`numpy.ndarray.tofile` method of the :data:`epr.Raster.data` attribute of the :class:`epr.Raster` objects that exposes data via the :class:`numpy.ndarray` interface: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_bitmask.py :language: python :lines: 63-64 .. _Python: https://www.python.org .. _ENVISAT: https://envisat.esa.int .. raw:: latex \clearpage pyepr-1.1.3/doc/conf.py000066400000000000000000000161011414372560000147200ustar00rootroot00000000000000# Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. import os import sys sys.path.insert(0, os.path.abspath('sphinxext')) # -- Project information ----------------------------------------------------- project = 'PyEPR' copyright = '2011-2021, Antonio Valentino' author = 'Antonio Valentino' def get_version(filename): import re from packaging.version import parse as Version with open(filename) as fd: data = fd.read() mobj = re.search( r'''^__version__\s*=\s*(?P['"])(?P.*)(?P=quote)''', data, re.MULTILINE) return Version(mobj.group('version')) _version = get_version('../src/epr.pyx') # The short X.Y version. version = _version.base_version # The full version, including alpha/beta/rc tags. release = str(_version) # -- 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 = [ # 'sphinx.ext.autodoc', # 'sphinx.ext.autosectionlabel', # 'sphinx.ext.autosummary', # 'sphinx.ext.coverage', # 'sphinx.ext.doctest', 'sphinx.ext.extlinks', # 'sphinx.ext.githubpages', # 'sphinx.ext.graphviz', 'sphinx.ext.ifconfig', # 'sphinx.ext.imgconverter', # 'sphinx.ext.inheritance_diagram', 'sphinx.ext.intersphinx', # 'sphinx.ext.linkcode', # 'sphinx.ext.napoleon', 'sphinx.ext.todo', 'sphinx.ext.viewcode', # Math support for HTML outputs in Sphinx 'sphinx.ext.imgmath', # 'sphinx.ext.mathjax', # 'sphinx.ext.jsmath', # Additional extensions 'ipython_console_highlighting', # 'IPython.sphinxext.ipython_console_highlighting', ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The master toctree document. master_doc = 'index' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = [ '_build', 'Thumbs.db', '.DS_Store', 'sphinxext', '**/empty.txt', ] # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # # html_theme = 'alabaster' html_theme = 'pydoctheme' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. html_theme_options = { 'collapsiblesidebar': True, } # Add any paths that contain custom themes here, relative to this directory. html_theme_path = ['.'] # 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 this is not None, a ‘Last updated on:’ timestamp is inserted at every # page bottom, using the given strftime() format. # The empty string is equivalent to '%b %d, %Y' # (or a locale-dependent equivalent). html_last_updated_fmt = '%b %d, %Y' # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # This is required for the alabaster theme # refs: http://alabaster.readthedocs.io/en/latest/installation.html#sidebars html_sidebars = { 'index': [ 'globaltoc.html', 'relations.html', 'sourcelink.html', 'searchbox.html', 'ohloh.html', 'pypi.html', 'gha.html', 'readthedocs.html', 'codecov.html', ], } # If false, no module index is generated. html_domain_indices = False # -- Options for HTMLHelp output ------------------------------------------ # Output file base name for HTML help builder. htmlhelp_basename = 'PyEPRdoc' # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # 'papersize': 'a4paper', # The font size ('10pt', '11pt' or '12pt'). # 'pointsize': '12pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'pyepr.tex', 'PyEPR Documentation', author, 'manual'), ] # If false, no module index is generated. latex_domain_indices = False # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'pyepr', 'PyEPR Documentation', [author], 1) ] # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'PyEPR', 'PyEPR Documentation', author, 'PyEPR', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ---------------------------------------------- # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # -- Options for intersphinx extension --------------------------------------- # Example configuration for intersphinx: refer to the Python standard library. intersphinx_mapping = { 'python': ('https://docs.python.org/3', None), 'numpy': ('https://docs.scipy.org/doc/numpy', None), } # -- Options for autodoc extension ------------------------------------------- #autoclass_content = 'both' #autodoc_default_flags = ['members', 'undoc-members', 'show-inheritance'] # #,'inherited-members'] # Auto summary generation #autosummary_generate = ['reference'] # -- Options for extlinks extension ------------------------------------------ # External links configuration extlinks = { 'issue': ('https://github.com/avalentino/pyepr/issues/%s', 'gh-'), } # -- Options for todo extension ---------------------------------------------- # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = True pyepr-1.1.3/doc/examples/000077500000000000000000000000001414372560000152405ustar00rootroot00000000000000pyepr-1.1.3/doc/examples/export_gdalvrt.py000077500000000000000000000134161414372560000206660ustar00rootroot00000000000000#!/usr/bin/env python3 import os import epr from osgeo import gdal epr_to_gdal_type = { epr.E_TID_UNKNOWN: gdal.GDT_Unknown, epr.E_TID_UCHAR: gdal.GDT_Byte, epr.E_TID_CHAR: gdal.GDT_Byte, epr.E_TID_USHORT: gdal.GDT_UInt16, epr.E_TID_SHORT: gdal.GDT_Int16, epr.E_TID_UINT: gdal.GDT_UInt32, epr.E_TID_INT: gdal.GDT_Int32, epr.E_TID_FLOAT: gdal.GDT_Float32, epr.E_TID_DOUBLE: gdal.GDT_Float64, #epr.E_TID_STRING: gdal.GDT_Unknown, #epr.E_TID_SPARE: gdal.GDT_Unknown, #epr.E_TID_TIME: gdal.GDT_Unknown, } def epr2gdal_band(band, vrt): product = band.product dataset = band.dataset record = dataset.read_record(0) field = record.get_field_at(band._field_index - 1) ysize = product.get_scene_height() xsize = product.get_scene_width() if isinstance(vrt, gdal.Dataset): if (vrt.RasterYSize, vrt.RasterXSize) != (ysize, xsize): raise ValueError('dataset size do not match') gdal_ds = vrt elif os.path.exists(vrt): gdal_ds = gdal.Open(vrt, gdal.GA_Update) if gdal_ds is None: raise RuntimeError('unable to open "{}"'.format(vrt)) driver = gdal_ds.GetDriver() if driver.ShortName != 'VRT': raise TypeError('unexpected GDAL driver ({}). ' 'VRT driver expected'.format(driver.ShortName)) else: driver = gdal.GetDriverByName('VRT') if driver is None: raise RuntimeError('unable to get driver "VRT"') gdal_ds = driver.Create(vrt, xsize, ysize, 0) if gdal_ds is None: raise RuntimeError('unable to create "{}" dataset'.format(vrt)) filename = os.pathsep.join(product.file_path.split('/')) # denormalize offset = dataset.get_dsd().ds_offset + field.get_offset() line_offset = record.tot_size pixel_offset = epr.get_data_type_size(field.get_type()) if band.sample_model == epr.E_SMOD_1OF2: pixel_offset *= 2 elif band.sample_model == epr.E_SMOD_2OF2: offset += pixel_offset pixel_offset *= 2 options = [ 'subClass=VRTRawRasterBand', 'SourceFilename={}'.format(filename), 'ImageOffset={}'.format(offset), 'LineOffset={}'.format(line_offset), 'PixelOffset={}'.format(pixel_offset), 'ByteOrder=MSB', ] gtype = epr_to_gdal_type[field.get_type()] ret = gdal_ds.AddBand(gtype, options=options) if ret != gdal.CE_None: raise RuntimeError( 'unable to add VRTRawRasterBand to "{}"'.format(vrt)) gdal_band = gdal_ds.GetRasterBand(gdal_ds.RasterCount) gdal_band.SetDescription(band.description) metadata = { 'name': band.get_name(), 'dataset_name': dataset.get_name(), 'dataset_description': dataset.description, 'lines_mirrored': str(band.lines_mirrored), 'sample_model': epr.get_sample_model_name(band.sample_model), 'scaling_factor': str(band.scaling_factor), 'scaling_offset': str(band.scaling_offset), 'scaling_method': epr.get_scaling_method_name(band.scaling_method), 'spectr_band_index': str(band.spectr_band_index), 'unit': band.unit if band.unit else '', 'bm_expr': band.bm_expr if band.bm_expr else '', } gdal_band.SetMetadata(metadata) return gdal_ds def epr2gdal(product, vrt, overwrite_existing=False): if isinstance(product, str): filename = product product = epr.open(filename) ysize = product.get_scene_height() xsize = product.get_scene_width() if os.path.exists(vrt) and not overwrite_existing: raise ValueError('unable to create "{}". Already exists'.format(vrt)) driver = gdal.GetDriverByName('VRT') if driver is None: raise RuntimeError('unable to get driver "VRT"') gdal_ds = driver.Create(vrt, xsize, ysize, 0) if gdal_ds is None: raise RuntimeError('unable to create "{}" dataset'.format(vrt)) metadata = { 'id_string': product.id_string, 'meris_iodd_version': str(product.meris_iodd_version), 'dataset_names': ','.join(product.get_dataset_names()), 'num_datasets': str(product.get_num_datasets()), 'num_dsds': str(product.get_num_dsds()), } gdal_ds.SetMetadata(metadata) mph = product.get_mph() metadata = str(mph).replace(' = ', '=').split('\n') gdal_ds.SetMetadata(metadata, 'MPH') sph = product.get_sph() metadata = str(sph).replace(' = ', '=').split('\n') gdal_ds.SetMetadata(metadata, 'SPH') for band in product.bands(): epr2gdal_band(band, gdal_ds) # @TODO: set geographic info return gdal_ds if __name__ == '__main__': filename = 'MER_LRC_2PTGMV20000620_104318_00000104X000_00000_00000_0001.N1' vrtfilename = os.path.splitext(filename)[0] + '.vrt' gdal_ds = epr2gdal(filename, vrtfilename) with epr.open(filename) as product: band_index = product.get_band_names().index('water_vapour') band = product.get_band('water_vapour') eprdata = band.read_as_array() unit = band.unit lines_mirrored = band.lines_mirrored scaling_offset = band.scaling_offset scaling_factor = band.scaling_factor gdal_band = gdal_ds.GetRasterBand(band_index + 1) vrtdata = gdal_band.ReadAsArray() if lines_mirrored: vrtdata = vrtdata[:, ::-1] vrtdata = vrtdata * scaling_factor + scaling_offset print('Max absolute error:', abs(vrtdata - eprdata).max()) # plot from matplotlib import pyplot as plt plt.figure() plt.subplot(2, 1, 1) plt.imshow(eprdata) plt.grid(True) cb = plt.colorbar() cb.set_label(unit) plt.title('EPR data') plt.subplot(2, 1, 2) plt.imshow(vrtdata) plt.grid(True) cb = plt.colorbar() cb.set_label(unit) plt.title('VRT data') plt.show() pyepr-1.1.3/doc/examples/update_elements.py000077500000000000000000000045021414372560000207740ustar00rootroot00000000000000#!/usr/bin/env python3 import numpy as np from matplotlib import pyplot as plt import epr FILENAME = 'MER_LRC_2PTGMV20000620_104318_00000104X000_00000_00000_0001.N1' # load original data with epr.open(FILENAME) as product: band = product.get_band('water_vapour') wv_orig_histogram, orig_bins = np.histogram(band.read_as_array().flat, 50) # plot water vapour histogram plt.figure() plt.bar(orig_bins[:-1], wv_orig_histogram, 0.02, label='original') plt.grid(True) plt.title('Water Vapour Histogram') plt.savefig('water_vapour_histogram_01.png') # modily scaling facotrs with epr.open(FILENAME, 'rb+') as product: dataset = product.get_dataset('Scaling_Factor_GADS') record = dataset.read_record(0) field = record.get_field('sf_wvapour') scaling = field.get_elem() scaling *= 1.1 field.set_elem(scaling) # re-open the product and load modified data with epr.open(FILENAME) as product: band = product.get_band('water_vapour') unit = band.unit new_data = band.read_as_array() wv_new_histogram, new_bins = np.histogram(new_data.flat, 50) # plot histogram of modified data plt.figure() plt.bar(orig_bins[:-1], wv_orig_histogram, 0.02, label='original') plt.grid(True) plt.title('Water Vapour Histogram') plt.hold(True) plt.bar(new_bins[:-1], wv_new_histogram, 0.02, color='red', label='new') plt.legend() plt.savefig('water_vapour_histogram_02.png') # plot the water vapour map plt.figure(figsize=(8, 4)) plt.imshow(new_data) plt.grid(True) plt.title('Water Vapour') cb = plt.colorbar() cb.set_label('[{}]'.format(unit)) plt.savefig('modified_water_vapour.png') # modify the "Vapour_Content" dataset with epr.open(FILENAME, 'rb+') as product: dataset = product.get_dataset('Vapour_Content') for line in range(70, 100): record = dataset.read_record(line) field = record.get_field_at(2) elems = field.get_elems() elems[50:100] = 0 field.set_elems(elems) # re-open the product and load modified data with epr.open(FILENAME) as product: band = product.get_band('water_vapour') unit = band.unit data = band.read_as_array() # plot the water vapour map plt.figure(figsize=(8, 4)) plt.imshow(data) plt.grid(True) plt.title('Water Vapour with box') cb = plt.colorbar() cb.set_label('[{}]'.format(unit)) plt.savefig('modified_water_vapour_with_box.png') plt.show() pyepr-1.1.3/doc/examples/write_bands.py000077500000000000000000000060661414372560000201260ustar00rootroot00000000000000#!/usr/bin/env python3 # This program is a direct translation of the sample program # "write_bands.c" bundled with the EPR-API distribution. # # Source code of the C program is available at: # https://github.com/bcdev/epr-api/blob/master/src/examples/write_bands.c import os import sys import epr def write_raw_image(output_dir, product, band_name): '''Generate the ENVI binary pattern image file for an actual DS. The first parameter is the output directory path. ''' # Build ENVI file path, DS name specifically image_file_path = os.path.join(output_dir, band_name + '.raw') band = product.get_band(band_name) source_w = product.get_scene_width() source_h = product.get_scene_height() source_step_x = 1 source_step_y = 1 raster = band.create_compatible_raster(source_w, source_h, source_step_x, source_step_y) print('Reading band "%s"...' % band_name) raster = band.read_raster(0, 0, raster) with open(image_file_path, 'wb') as out_stream: for line in raster.data: out_stream.write(line.tostring()) # or better: raster.data.tofile(out_stream) print('Raw image data successfully written to "%s".' % image_file_path) print('C data type is "%s", element size %u byte(s), ' 'raster size is %u x %u pixels.' % ( epr.data_type_id_to_str(raster.data_type), raster.get_elem_size(), raster.get_width(), raster.get_height())) def main(*argv): '''A program for converting producing ENVI raster information from dataset. It generates as many raster as there are dataset entrance parameters. Call:: $ write_bands.py [ ... ] Example:: $ write_bands.py \ MER_RR__1PNPDK20020415_103725_000002702005_00094_00649_1059.N1 \ . latitude ''' if not argv: argv = sys.argv if len(argv) <= 3: print('Usage: write_bands.py ' '') print(' [ ... ]') print(' where envisat-product is the input filename') print(' and output-dir is the output directory') print(' and dataset-name-1 is the name of the first band to be ' 'extracted (mandatory)') print(' and dataset-name-2 ... dataset-name-N are the names of ' 'further bands to be extracted (optional)') print('Example:') print(' write_bands MER_RR__2P_TEST.N1 . latitude') print() sys.exit(1) product_file_path = argv[1] output_dir_path = argv[2] # Open the product; the argument is the path to product the data file with epr.open(product_file_path) as product: for band_name in argv[3:]: write_raw_image(output_dir_path, product, band_name) if __name__ == '__main__': main() pyepr-1.1.3/doc/examples/write_bitmask.py000077500000000000000000000042341414372560000204640ustar00rootroot00000000000000#!/usr/bin/env python3 # This program is a direct translation of the sample program # "write_bitmask.c" bundled with the EPR-API distribution. # # Source code of the C program is available at: # https://github.com/bcdev/epr-api/blob/master/src/examples/write_bitmask.c '''Generates bit mask from ENVISAT flags information as "raw" image for (e.g.) Photoshop Call:: $ python write_bitmask.py Example to call the main function:: $ python write_bitmask.py MER_RR__2P_TEST.N1 \ 'l2_flags.LAND and !l2_flags.BRIGHT' my_flags.raw ''' import sys import epr def main(*argv): if not argv: argv = sys.argv if len(argv) != 4: print('Usage: write_bitmask ' '') print(' where envisat-product is the input filename') print(' and bitmask-expression is a string containing the bitmask ' 'logic') print(' and output-file is the output filename.') print('Example:') print(" MER_RR__2P_TEST.N1 'l2_flags.LAND and not l2_flags.BRIGHT' " "my_flags.raw") print sys.exit(1) product_file_path = argv[1] bm_expr = argv[2] image_file_path = argv[3] # Open the product; an argument is a path to product data file with epr.open(product_file_path) as product: offset_x = 0 offset_y = 0 source_width = product.get_scene_width() source_height = product.get_scene_height() source_step_x = 1 source_step_y = 1 bm_raster = epr.create_bitmask_raster(source_width, source_height, source_step_x, source_step_y) product.read_bitmask_raster(bm_expr, offset_x, offset_y, bm_raster) with open(image_file_path, 'wb') as out_stream: bm_raster.data.tofile(out_stream) print('Raw image data successfully written to "%s".' % image_file_path) print('Data type is "byte", size is %d x %d pixels.' % (source_width, source_height)) if __name__ == '__main__': main() pyepr-1.1.3/doc/examples/write_ndvi.py000077500000000000000000000056401414372560000177740ustar00rootroot00000000000000#!/usr/bin/env python3 # This program is a direct translation of the sample program # "write_ndvi.c" bundled with the EPR-API distribution. # # Source code of the C program is available at: # https://github.com/bcdev/epr-api/blob/master/src/examples/write_ndvi.c '''Example for using the epr-api Demonstrates how to open a MERIS L1b product and calculate the NDVI. This example does not demonstrate how to write good and safe code. It is reduced to the essentials for working with the epr-api. Calling sequence:: $ python write_ndvi.py for example:: $ python write_ndvi.py MER_RR__1P_test.N1 my_ndvi.raw ''' import sys import struct import logging import epr def main(*argv): if not argv: argv = sys.argv if len(argv) != 3: print('Usage: write_ndvi ') print(' where envisat-product is the input filename') print(' and output-file is the output filename.') print('Example: MER_RR__1P_TEST.N1 my_ndvi.raw') print sys.exit(1) # Open the product with epr.open(argv[1]) as product: # The NDVI shall be calculated using bands 6 and 8. band1_name = 'radiance_6' band2_name = 'radiance_10' band1 = product.get_band(band1_name) band2 = product.get_band(band2_name) # Allocate memory for the rasters width = product.get_scene_width() height = product.get_scene_height() subsampling_x = 1 subsampling_y = 1 raster1 = band1.create_compatible_raster(width, height, subsampling_x, subsampling_y) raster2 = band2.create_compatible_raster(width, height, subsampling_x, subsampling_y) # Read the radiance into the raster. offset_x = 0 offset_y = 0 logging.info('read "%s" data' % band1_name) band1.read_raster(offset_x, offset_y, raster1) logging.info('read "%s" data' % band2_name) band2.read_raster(offset_x, offset_y, raster2) # Open the output file logging.info('write ndvi to "%s"' % argv[2]) with open(argv[2], 'wb') as out_stream: # Loop over all pixel and calculate the NDVI. # # @NOTE: looping over data matrices is not the best soluton. # It is done here just for demostrative purposes for j in range(height): for i in range(width): rad1 = raster1.get_pixel(i, j) rad2 = raster2.get_pixel(i, j) if (rad1 + rad2) != 0.0: ndvi = (rad2 - rad1) / (rad2 + rad1) else: ndvi = -1.0 out_stream.write(struct.pack('f', ndvi)) logging.info('ndvi was written success') if __name__ == '__main__': main() pyepr-1.1.3/doc/gdal_export_example.rst000066400000000000000000000145561414372560000202120ustar00rootroot00000000000000GDAL_ export example -------------------- .. index:: GDAL, export, VRT, ENVISAT, offset This tutorial explains how to use PyEPR_ to generate a file in GDAL Virtual Format (VRT) that can be used to access data with the powerful and popular GDAL_ library. GDAL_ already has support for ENVISAT_ products but this example is interesting for two reasons: * it exploits some low level feature (like e.g. offset management) that are rarely used but that can be very useful in some cases * the generated VRT file uses raw raster access and it can be opened in update mode to modify the ENVISAT_ product data. This feature is not supported by the native ENVISAT_ driver of the GDAL_ library export_gdalvrt module ~~~~~~~~~~~~~~~~~~~~~ The complete code of the example is available in the :download:`examples/export_gdalvrt.py` file. It is organized so that it can also be imported as a module in any program. The :mod:`export_gdalvrt` module provides two functions: .. module:: export_gdalvrt .. function:: epr2gdal_band(band, vrt) Takes in input an :class:`epr.Band` object and a VRT dataset and add a GDAL_ band to the VRT dataset .. function:: epr2gdal(product, vrt, overwrite_existing=False) Takes in input a PyEPR_ :class:`Product` (or a filename) and the file name of the output VRT file and generates the VRT file itself containing a band for each :class:`epr.Band` present in the original :class:`epr.Product` and also associated metadata. The :func:`epr2gdal` function first creates the VRT dataset .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/export_gdalvrt.py :language: python :lines: 101-117 and then loops on all :class:`epr.Band`\ s of the PyEPR_ :class:`epr.Product` calling the :func:`epr2gdal_band` function on each of them: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/export_gdalvrt.py :language: python :lines: 136-137 The :mod:`export_gdalvrt` module also provides a :data:`epr_to_gdal_type` mapping between EPR and GDAL data type identifiers. .. index:: VRTRawRasterBand Generating *VRTRawRasterBand*\ s ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The core of the example is the part of the code in the :func:`epr2gdal_band` function that generates the GDAL_ *VRTRawRasterBand*. It is a description of a raster file that the GDAL_ library uses for low level data access. Of course the entire machinery works because data in :class:`epr.Band`\s and :class:`epr.Dataset`\ s of ENVISAT_ products are stored as contiguous rasters. .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/export_gdalvrt.py :language: python :lines: 54-78 .. index:: offset The fundamental part is the computation of the: **ImageOffset**: the offset in bytes to the beginning of the first pixel of data with respect to the beginning of the file. In the example it is computed using * the :data:`epr.DSD.ds_offset` attribute, that represents the offset in bytes of the :class:`epr.Dataset` from the beginning of the file, and * the :meth:`epr.Field.get_offset` method that returns the offset in bytes of the :class:`epr.Field` containing :class:`epr.Band` data from the beginning of the :class:`epr.Record` :: offset = dataset.get_dsd().ds_offset + field.get_offset() **LineOffset**: the offset in bytes from the beginning of one *scanline* of data and the next scanline of data. In the example it is set to the :class:`epr.Record` size in bytes using the :attr:`epr.Record.tot_size` attribute:: line_offset = record.tot_size **PixelOffset**: the offset in bytes from the beginning of one pixel and the next on the same line. Usually it corresponds to the size in bytes of the elementary data type. It is set using the :meth:`epr.Field.get_type` method and the :func:`epr.get_data_type_size` function:: pixel_offset = epr.get_data_type_size(field.get_type()) The band size in lines and columns of the GDAL_ bands is fixed at GDAL_ dataset level when it is created: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/export_gdalvrt.py :language: python :lines: 50-52 .. index:: dataset, band Please note that in case of :class:`epr.Dataset`\ s storing complex values, like in `MDS1` :class:`epr.Dataset` of ASAR IMS :class:`epr.Product`\ s, pixels of real and imaginary parts are interleaved, so to represent :class:`epr.Band`\ s of the two components the pixel offset have to be doubled and an additional offset (one pixel) must be added to the *ImageOffset* of the :class:`epr.Band` representing the imaginary part: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/export_gdalvrt.py :language: python :lines: 59-63 .. note:: the PyEPR_ API does not supports complex :class:`Band`\ s. :class:`epr.Dataset`\s containing complex data, like the `MDS1` :class:`epr.Dataset` of ASAR IMS :class:`epr.Product`\ s, are associated to two distinct :class:`epr.Band`\s containing the real (I) and the imaginary (Q) component respectively. GDAL_, instead, supports complex data types, so it is possible to map a complex ENVISAT_ :class:`epr.Dataset` onto a single GDAL_ bands with complex data type. This case is not handled in the example. .. index:: metadata Metadata ~~~~~~~~ The :func:`epr2gdal_band` function also stores a small set of metadata for each :class:`epr.Band`: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/export_gdalvrt.py :language: python :lines: 80-95 Metadata are also stored at GDAL_ dataset level by the :func:`epr2gdal` function: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/export_gdalvrt.py :language: python :lines: 119-126 .. index:: MPH, SPH The :func:`epr2gdal` function also stores the contents of the *MPH* and the *SPH* records as GDAL_ dataset matadata in custom domains: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/export_gdalvrt.py :language: python :lines: 128-134 Complete listing ~~~~~~~~~~~~~~~~ .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/export_gdalvrt.py :language: python .. _GDAL: https://gdal.org .. _PyEPR: https://github.com/avalentino/pyepr .. _ENVISAT: https://envisat.esa.int .. raw:: latex \clearpage pyepr-1.1.3/doc/images/000077500000000000000000000000001414372560000146675ustar00rootroot00000000000000pyepr-1.1.3/doc/images/ASA_IMP_crop.png000066400000000000000000010574361414372560000175510ustar00rootroot00000000000000‰PNG  IHDR L1ÂýsBIT|dˆ pHYsaa¨?§i IDATxœì½y˜dU}ÿÿ¾ÕÕÕUÕݳ130¬Ã"3ȲEÑ "†EŸ€‰;Šá«€[0 ·DM4‚úÄ$bDŒˆ&  TDŒDP”° "³ötwuwuUÝßó{~ßÓ5lÎÂ0çý<ýtwÕ½çžó9ŸsÎû³œs³<Ïs%$$$$$$$$$$$l”¶t¶$$!!!!!!!!!!a³! › ÉIHHHHHHHHHHØlHHBBBBBBBBBBÂfC2@6’’°Ù „„„„„„„„„„„͆d€$$$$$$$$$$$l6$$!!!!!!!!!!a³! › ÉIHHHHHHHHHHØlHHBBBBBBBBBBÂfC2@6’’°Ù „„„„„„„„„„„͆d€$$$$$$$$$$$l6$$!!!!!!!!!!a³! › ÉIHHHHHHHHHHØlHHBBBBBBBBBBÂfC2@6’’°Ù „„„„„„„„„„„͆d€$$$$$$$$$$$l6$$!!!!!!!!!!a³! › ÉIHHHHHHHHHHØlHHBBBBBBBBBBÂfC2@6’’°Ù „„„„ÿ .Ôî»ï¾¥«ñŒÀ²eËT*=ý%"É2!!!!aCHHBÂf@©TúƒÈܳ]tQËßøÆ ^÷µ¯}-\·téÒM^¯,Ë6YÙÞf~êõº/^¬³Ï>[¿ûÝï6Ù³Ÿ*²,ûƒdñ‡Þ¿)°páB•J%=ôÐC[º* Û4Ê[º Û 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‘‹Ì2nÜ8Iòü3²‚óÉÍË9κuëwz­ñ™Ñk±¹Í™3Ç\wÝu&==Ý$''›‹/¾ØÜ|óÍæÝwßMxz­ñ™Ñkñÿ=¨¯¡"4&\½Ö”"Æø‡ø oBà g@8ÃÀÎ0€p†€3 œaà g@8ÃÀÎ0€p†€3 œaà g@8ÃÀÎ0€p†€3 œaà g@8ÃÀÎ0€p†€3 œaà g@8ÃÀÎ0€p†€3 œaàÌÿj½ø{èð|ÄIEND®B`‚pyepr-1.1.3/doc/index.rst000066400000000000000000000054571414372560000152760ustar00rootroot00000000000000================================= ENVISAT Product Reader Python API ================================= .. raw:: latex \listoffigures % \listoftables \clearpage :HomePage: https://avalentino.github.io/pyepr :Author: Antonio Valentino :Contact: antonio.valentino@tiscali.it :Copyright: 2011-2021, Antonio Valentino :Version: |release| .. only:: not latex Overview ======== PyEPR_ provides Python_ bindings for the ENVISAT Product Reader C API (`EPR API`_) for reading satellite data from ENVISAT_ ESA_ (European Space Agency) mission. PyEPR_, as well as the `EPR API`_ for C, supports ENVISAT_ MERIS, AATSR Level 1B and Level 2 and also ASAR data products. It provides access to the data either on a geophysical (decoded, ready-to-use pixel samples) or on a raw data layer. The raw data access makes it possible to read any data field contained in a product file. .. _PyEPR: https://github.com/avalentino/pyepr .. _Python: https://www.python.org .. _`EPR API`: https://github.com/bcdev/epr-api .. _ENVISAT: https://envisat.esa.int .. _ESA: https://earth.esa.int .. index:: ENVISAT, MERIS, AASTR, ASAR Documentation ============= .. toctree:: :maxdepth: 2 usermanual tutorials reference NEWS .. only:: not latex Other versions ============== Online documentation for other PyEpr_ versions: * `latest `_ development * `1.1.3 `_ (latest stable) * `1.1.2 `_ * `1.1.1 `_ * `1.1.0 `_ * `1.0.1 `_ * `1.0.0 `_ * `0.9.5 `_ * `0.8.2 `_ * `0.7.1 `_ * `0.6.1 `_ License ======= .. index:: license Copyright (C) 2011-2021 Antonio Valentino PyEPR is free software: you can redistribute it and/or modify it under the terms of the `GNU General Public License`_ as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PyEPR is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with PyEPR. If not, see . .. _`GNU General Public License`: http://www.gnu.org/licenses/gpl-3.0.html pyepr-1.1.3/doc/interactive_use.rst000066400000000000000000000270171414372560000173540ustar00rootroot00000000000000Interactive use of PyEPR_ ------------------------- .. highlight:: ipython .. index:: jupyter, ipython, interactive, ENVISAT, ASAR, ESA, pylab, matplotlib pair: interactive; shell pair: sample; dataset In this tutorial it is showed an example of how to use PyEPR_ interactively to open, browse and display data of an ENVISAT_ ASAR_ product. For the interactive session it is used the Jupyter_ console started with the `--pylab` option to enable the interactive plotting features provided by the matplotlib_ package. The ASAR_ product used in this example is a `free sample`_ available at the ESA_ web site. .. _PyEPR: https://github.com/avalentino/pyepr .. _ENVISAT: https://envisat.esa.int .. _ASAR: https://earth.esa.int/handbooks/asar/CNTR.html .. _Jupyter: https://jupyter.org/ .. _matplotlib: https://matplotlib.org .. _`free sample`: https://earth.esa.int/services/sample_products/asar/IMP/ASA_IMP_1PNUPA20060202_062233_000000152044_00435_20529_3110.N1.gz .. _ESA: https://earth.esa.int .. index:: module pair: epr; module :mod:`epr` module and classes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ After starting the jupyter console with the following command: .. code-block:: sh $ jupyter console -- --pylab one can import the :mod:`epr` module and start start taking confidence with available classes and functions:: Jupyter console 5.2.0 Python 3.6.5 (default, Apr 1 2018, 05:46:30) Type "copyright", "credits" or "license" for more information. IPython 5.5.0 -- 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]: import epr In [2]: epr? Base Class: String Form: Namespace: Interactive File: /home/antonio/projects/pyepr/epr.so Docstring: Python bindings for ENVISAT Product Reader C API PyEPR_ provides Python_ bindings for the ENVISAT Product Reader C API (`EPR API`_) for reading satellite data from ENVISAT_ ESA_ (European Space Agency) mission. PyEPR_ is fully object oriented and, as well as the `EPR API`_ for C, supports ENVISAT_ MERIS, AATSR Level 1B and Level 2 and also ASAR data products. It provides access to the data either on a geophysical (decoded, ready-to-use pixel samples) or on a raw data layer. The raw data access makes it possible to read any data field contained in a product file. .. _PyEPR: http://avalentino.github.io/pyepr .. _Python: https://www.python.org .. _`EPR API`: https://github.com/bcdev/epr-api .. _ENVISAT: https://envisat.esa.int .. _ESA: https://earth.esa.int In [3]: epr.__version__, epr.EPR_C_API_VERSION Out[3]: ('1.0.0', '2.3dev') .. index:: __version__ Docstrings are available for almost all classes, methods and functions in the :mod:`epr` and they can be displayed using the :func:`help` python_ command or the ``?`` Jupyter_ shortcut as showed above. .. _python: https://www.python.org Also Jupyter_ provides a handy tab completion mechanism to automatically complete commands or to display available functions and classes:: In [4]: product = epr. [TAB] epr.Band epr.E_TID_STRING epr.DSD epr.E_TID_TIME epr.Dataset epr.E_TID_UCHAR epr.EPRError epr.E_TID_UINT epr.EPRTime epr.E_TID_UNKNOWN epr.EPRValueError epr.E_TID_USHORT epr.EPR_C_API_VERSION epr.EprObject epr.E_SMID_LIN epr.Field epr.E_SMID_LOG epr.Product epr.E_SMID_NON epr.Raster epr.E_SMOD_1OF1 epr.Record epr.E_SMOD_1OF2 epr.create_bitmask_raster epr.E_SMOD_2OF2 epr.create_raster epr.E_SMOD_2TOF epr.data_type_id_to_str epr.E_SMOD_3TOI epr.get_data_type_size epr.E_TID_CHAR epr.get_sample_model_name epr.E_TID_DOUBLE epr.get_scaling_method_name epr.E_TID_FLOAT epr.np epr.E_TID_INT epr.open epr.E_TID_SHORT epr.so epr.E_TID_SPARE epr.sys .. index:: product :class:`epr.Product` navigation ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The first thing to do is to use the :func:`epr.open` function to get an instance of the desired ENVISAT_ :class:`epr.Product`:: In [4]: product = epr.open(\ 'ASA_IMP_1PNUPA20060202_062233_000000152044_00435_20529_3110.N1') In [4]: product. product.bands product.get_mph product.close product.get_num_bands product.closed product.get_num_datasets product.datasets product.get_num_dsds product.file_path product.get_scene_height product.get_band product.get_scene_width product.get_band_at product.get_sph product.get_band_names product.id_string product.get_dataset product.meris_iodd_version product.get_dataset_at product.read_bitmask_raster product.get_dataset_names product.tot_size product.get_dsd_at In [5]: product.tot_size / 1024.**2 Out[5]: 132.01041889190674 In [6]: print(product) epr.Product(ASA_IMP_1PNUPA20060202_ ...) 7 datasets, 5 bands epr.Dataset(MDS1_SQ_ADS) 1 records epr.Dataset(MAIN_PROCESSING_PARAMS_ADS) 1 records epr.Dataset(DOP_CENTROID_COEFFS_ADS) 1 records epr.Dataset(SR_GR_ADS) 1 records epr.Dataset(CHIRP_PARAMS_ADS) 1 records epr.Dataset(GEOLOCATION_GRID_ADS) 11 records epr.Dataset(MDS1) 8192 records epr.Band(slant_range_time) of epr.Product(ASA_IMP_1PNUPA20060202_ ...) epr.Band(incident_angle) of epr.Product(ASA_IMP_1PNUPA20060202_ ...) epr.Band(latitude) of epr.Product(ASA_IMP_1PNUPA20060202 ...) epr.Band(longitude) of epr.Product(ASA_IMP_1PNUPA20060202 ...) epr.Band(proc_data) of epr.Product(ASA_IMP_1PNUPA20060202 ...) A short summary of product contents can be displayed simply printing the :class:`epr.Product` object as showed above. Being able to display contents of each object it is easy to keep browsing and get all desired information from the product:: In [7]: dataset = product.get_dataset('MAIN_PROCESSING_PARAMS_ADS') In [8]: dataset Out[8]: epr.Dataset(MAIN_PROCESSING_PARAMS_ADS) 1 records In [9]: record = dataset.[TAB] dataset.create_record dataset.get_dsd_name dataset.product dataset.description dataset.get_name dataset.read_record dataset.get_dsd dataset.get_num_records dataset.records In [9]: record = dataset.read_record(0) In [10]: record Out[10]: 220 fields In [11]: record.get_field_names()[:20] Out[11]: ['first_zero_doppler_time', 'attach_flag', 'last_zero_doppler_time', 'work_order_id', 'time_diff', 'swath_id', 'range_spacing', 'azimuth_spacing', 'line_time_interval', 'num_output_lines', 'num_samples_per_line', 'data_type', 'spare_1', 'data_analysis_flag', 'ant_elev_corr_flag', 'chirp_extract_flag', 'srgr_flag', 'dop_cen_flag', 'dop_amb_flag', 'range_spread_comp_flag'] In [12]: field = record.get_field('range_spacing') In [13]: field.get [TAB] field.get_description field.get_name field.get_unit field.get_elem field.get_num_elems field.get_elems field.get_type In [13]: field.get_description() Out[13]: 'Range sample spacing' In [14]: epr.data_type_id_to_str(field.get_type()) Out[14]: 'float' In [15]: field.get_num_elems() Out[15]: 1 In [16]: field.get_unit() Out[16]: 'm' In [17]: print(field) range_spacing = 12.500000 .. index:: iteration, iterable, record Iterating over :mod:`epr` objects ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ :class:`epr.Record` objects are also iterable_ so one can write code like the following:: In [18]: for field in record: if field.get_num_elems() == 4: print('%s: %d elements' % (field.get_name(), len(field))) ....: nominal_chirp.1.nom_chirp_amp: 4 elements nominal_chirp.1.nom_chirp_phs: 4 elements nominal_chirp.2.nom_chirp_amp: 4 elements nominal_chirp.2.nom_chirp_phs: 4 elements nominal_chirp.3.nom_chirp_amp: 4 elements nominal_chirp.3.nom_chirp_phs: 4 elements nominal_chirp.4.nom_chirp_amp: 4 elements nominal_chirp.4.nom_chirp_phs: 4 elements nominal_chirp.5.nom_chirp_amp: 4 elements nominal_chirp.5.nom_chirp_phs: 4 elements beam_merge_sl_range: 4 elements beam_merge_alg_param: 4 elements .. index:: data, image Image data ~~~~~~~~~~ Dealing with image data is simple as well:: In [19]: product.get_band_names() Out[19]: ['slant_range_time', 'incident_angle', 'latitude', 'longitude', 'proc_data'] In [19]: band = product.get_band('proc_data') In [20]: data = band. [TAB] band.bm_expr band.read_raster band.create_compatible_raster band.sample_model band.data_type band.scaling_factor band.description band.scaling_method band.get_name band.scaling_offset band.lines_mirrored band.spectr_band_index band.product band.unit band.read_as_array In [20]: data = band.read_as_array(1000, 1000, xoffset=100, \ yoffset=6500, xstep=2, ystep=2) In [21]: data Out[21]: array([[ 146., 153., 134., ..., 51., 55., 72.], [ 198., 163., 146., ..., 26., 54., 57.], [ 127., 205., 105., ..., 64., 76., 61.], ..., [ 64., 78., 52., ..., 96., 176., 159.], [ 66., 41., 45., ..., 200., 153., 203.], [ 64., 71., 88., ..., 289., 182., 123.]], dtype=float32) In [22]: data.shape Out[22]: (500, 500) In [23]: imshow(data, cmap=cm.gray, vmin=0, vmax=1000) Out[23]: In [24]: title(band.description) Out[24]: In [25]: colorbar() Out[25]: .. figure:: images/ASA_IMP_crop.* :width: 100% Image data read from the "proc_data" band .. _iterable: https://docs.python.org/3/glossary.html#term-iterable .. index:: close, product Closing the epr.Product ~~~~~~~~~~~~~~~~~~~~~~~ Finally the :class:`epr.Product` can be closed using the :meth:`epr.Product.close` method:: In [26]: product.close() After a product is closed no more I/O operations can be performed on it. Any attempt to do it will raise a :exc:`ValueError`:: In [27]: product.tot_size / 1024.**2 ------------------------------------------------------------------------- ValueError Traceback (most recent call last) in () ----> 1 product.tot_size / 1024.**2 epr.so in epr.Product.tot_size.__get__ (src/epr.c:16534)() epr.so in epr.Product.check_closed_product (src/epr.c:16230)() ValueError: I/O operation on closed file At any time the user can check whenever a :class:`epr.Product` is closed or not using the :attr:`epr.Product.closed` property:: In [28]: product.closed Out[28]: True .. raw:: latex \clearpage pyepr-1.1.3/doc/make.bat000066400000000000000000000013701414372560000150300ustar00rootroot00000000000000@ECHO OFF pushd %~dp0 REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set SOURCEDIR=. set BUILDDIR=_build if "%1" == "" goto help %SPHINXBUILD% >NUL 2>NUL if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo.installed, then set the SPHINXBUILD environment variable to point echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from echo.http://sphinx-doc.org/ exit /b 1 ) %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% goto end :help %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% :end popd pyepr-1.1.3/doc/ndvi_example.rst000066400000000000000000000127411414372560000166340ustar00rootroot00000000000000NDVI computation ---------------- .. index:: NDVI, MERIS This tutorial shows how to use PyEPR_ to open a MERIS_ L1B product, compute the *Normalized Difference Vegetation Index* (NDVI) and store it into a flat binary file. The example code (:download:`examples/write_ndvi.py`) is a direct translation of the C sample program `write_ndvi.c`_ bundled with the EPR API distribution. The program is invoked as follows: .. code-block:: sh $ python write_ndvi.py .. _PyEPR: https://github.com/avalentino/pyepr .. _MERIS: https://earth.esa.int/handbooks/meris/CNTR.html .. _`write_ndvi.c`: https://github.com/bcdev/epr-api/blob/master/src/examples/write_ndvi.c The code have been kept very simple and it consists in a single function (:func:`main`) that also performs a minimal command line arguments handling. .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_ndvi.py The ENVISAT_ :class:`epr.Product` is opened using the :func:`epr.open` function. .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_ndvi.py :lines: 46-47 .. index:: context, open pair: with; statement As usual in modern python programs the *with* statement has been used to ensure that the product is automatically closed as soon as the program exits the block. Of course it is possible to use a simple assignment form:: product = open(argv[1]) but in this case the user should take care of manually call:: product.close() when appropriate. The name of the product is in the first argument passed to the program. In order to keep the code simple no check is performed to ensure that the product is a valid L1B product. The NDVI is calculated using bands 6 and 8 (the names of these bands are "radiance_6" and "radiance_10"). :class:`epr.Band` objects are retrieved using the :meth:`epr.Product.get_band` method: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_ndvi.py :lines: 49-54 *band1* and *band2* are used to read the calibrated radiances into the :class:`epr.Raster` objects that allow to access data matrices with the radiance values. .. index:: raster, memory Before reading data into the :class:`epr.Raster` objects they have to be instantiated specifying their size and data type in order to allow the library to allocate the correct amount of memory. For sake of simplicity :class:`epr.Raster` object are created with the same size of the whole product (with no sub-sampling) using the :meth:`epr.Band.create_compatible_raster` method of the :class:`epr.Band` class: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_ndvi.py :lines: 56-64 Then data are actually loaded into memory using the :meth:`epr.Band.read_raster` method. Since :class:`epr.Raster` objects have been defined to match the whole product, offset parameters are set to zero (data are read starting from specified offset): .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_ndvi.py :lines: 66-74 .. note:: in this simplified example it is assumed that there is enough system memory to hold the two :class:`epr.Raster` objects. After opening (in binary mode) the stream for the output .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_ndvi.py :lines: 76-78 the program simply loops over all pixel and calculate the NDVI with the following formula: .. math:: NDVI = \frac{radiance_{10} - radiance_8}{radiance_{10} + radiance_8} .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_ndvi.py :lines: 80-93 This part of the code tries to mimic closely the original C code (`write_ndvi.c`_) .. code-block:: c out_stream = fopen(argv[2], "wb"); for (j = 0; j < height; ++j) { for (i = 0; i < width; ++i) { rad1 = epr_get_pixel_as_float(raster1, i, j); rad2 = epr_get_pixel_as_float(raster2, i, j); if ((rad1 + rad2) != 0.0) { ndvi = (rad2 - rad1) / (rad2 + rad1); } else { ndvi = -1.0; } status = fwrite( & ndvi, sizeof(float), 1, out_stream); } } epr_log_message(e_log_info, "ndvi was written success"); and uses the :meth:`epr.Raster.get_pixel` method to access pixel values and perform computation. The Python_ :func:`struct.pack` function together with :meth:`file.write` is used to write the NDVI of the pixel n the file in binary format. .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/write_ndvi.py :lines: 92 .. note:: the entire solution is quite not "pythonic". As an alternative implementation it could be used the :class:`numpy.ndarray` interface of :class:`epr.Raster` objects available via the :data:`epr.Raster.data` property. The NDVI index is computed on all pixels altogether using vectorized expressions:: # Initialize the entire matrix to -1 ndvi = numpy.zeros((height, width), 'float32') - 1 aux = raster2.data + raster1.data # indexes of pixel with non null denominator idx = numpy.where(aux != 0) # actual NDVI computation ndvi[idx] = (raster2.data[idx] - raster1.data[idx]) / aux[idx] Finally data can be saved to file simply using the :meth:`numpy.ndarray.tofile` method:: ndvi.tofile(out_stream) .. _ENVISAT: https://envisat.esa.int .. _Python: https://www.python.org .. raw:: latex \clearpage pyepr-1.1.3/doc/pydoctheme/000077500000000000000000000000001414372560000155635ustar00rootroot00000000000000pyepr-1.1.3/doc/pydoctheme/LICENSE000066400000000000000000000307231414372560000165750ustar00rootroot00000000000000A. HISTORY OF THE SOFTWARE ========================== Python was created in the early 1990s by Guido van Rossum at Stichting Mathematisch Centrum (CWI, see http://www.cwi.nl) in the Netherlands as a successor of a language called ABC. Guido remains Python's principal author, although it includes many contributions from others. In 1995, Guido continued his work on Python at the Corporation for National Research Initiatives (CNRI, see http://www.cnri.reston.va.us) in Reston, Virginia where he released several versions of the software. In May 2000, Guido and the Python core development team moved to BeOpen.com to form the BeOpen PythonLabs team. In October of the same year, the PythonLabs team moved to Digital Creations (now Zope Corporation, see http://www.zope.com). In 2001, the Python Software Foundation (PSF, see http://www.python.org/psf/) was formed, a non-profit organization created specifically to own Python-related Intellectual Property. Zope Corporation is a sponsoring member of the PSF. All Python releases are Open Source (see http://www.opensource.org for the Open Source Definition). Historically, most, but not all, Python releases have also been GPL-compatible; the table below summarizes the various releases. Release Derived Year Owner GPL- from compatible? (1) 0.9.0 thru 1.2 1991-1995 CWI yes 1.3 thru 1.5.2 1.2 1995-1999 CNRI yes 1.6 1.5.2 2000 CNRI no 2.0 1.6 2000 BeOpen.com no 1.6.1 1.6 2001 CNRI yes (2) 2.1 2.0+1.6.1 2001 PSF no 2.0.1 2.0+1.6.1 2001 PSF yes 2.1.1 2.1+2.0.1 2001 PSF yes 2.1.2 2.1.1 2002 PSF yes 2.1.3 2.1.2 2002 PSF yes 2.2 and above 2.1.1 2001-now PSF yes Footnotes: (1) GPL-compatible doesn't mean that we're distributing Python under the GPL. All Python licenses, unlike the GPL, let you distribute a modified version without making your changes open source. The GPL-compatible licenses make it possible to combine Python with other software that is released under the GPL; the others don't. 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PyEPR_ is fully object oriented and, as well as the `EPR API`_ for C, supports ENVISAT_ MERIS, AATSR Level 1B and Level 2 and also ASAR data products. It provides access to the data either on a geophysical (decoded, ready-to-use pixel samples) or on a raw data layer. The raw data access makes it possible to read any data field contained in a product file. .. _PyEPR: https://github.com/avalentino/pyepr .. _Python: https://www.python.org .. _`EPR API`: https://github.com/bcdev/epr-api .. _ENVISAT: https://envisat.esa.int .. _ESA: https://earth.esa.int .. currentmodule:: epr Classes ------- Product ~~~~~~~ .. class:: Product ENVISAT product. The Product class provides methods and properties to get information about an ENVISAT product file. .. seealso:: :func:`open` .. rubric:: Attributes .. attribute:: file_path The file's path including the file name. .. attribute:: mode String that specifies the mode in which the file is opened. Possible values: `rb` for read-only mode, `rb+` for read-write mode. .. attribute:: id_string The product identifier string obtained from the MPH parameter 'PRODUCT'. The first 10 characters of this string identify the product type, e.g. "MER_1P__FR" for a MERIS Level 1b full resolution product. The rest of the string decodes product instance properties. .. attribute:: meris_iodd_version For MERIS L1b and RR and FR to provide backward compatibility. .. attribute:: tot_size The total size in bytes of the product file. .. rubric:: Methods .. method:: get_band(name) Gets the band corresponding to the specified name. :param name: the name of the band :returns: the requested :class:`Band` instance, or raises a :exc:`EPRValueError` if not found .. method:: get_band_at(index) Gets the :class:`Band` at the specified position within the :class:`product`. :param index: the index identifying the position of the :class:`Band`, starting with 0, must not be negative :returns: the requested :class:`Band` instance, or raises a :exc:`EPRValueError` if not found .. method:: get_dataset(name) Gets the :class:`Dataset` corresponding to the specified dataset name. :param name: the :class:`Dataset` name :returns: the requested :class:`Dataset` instance .. method:: get_dataset_at(index) Gets the :class:`Dataset` at the specified position within the :class:`Product`. :param index: the index identifying the position of the :class:`Dataset`, starting with 0, must not be negative :returns: the requested :class:`Dataset` .. method:: get_dsd_at(index) Gets the :class:`DSD` at the specified position. Gets the :class:`DSD` (:class:`Dataset` descriptor) at the specified position within the :class:`Product`. :param index: the index identifying the position of the :class:`DSD`, starting with 0, must not be negative :returns: the requested :class:`DSD` instance .. method:: get_num_bands() Gets the number of all :class:`Band`\ s contained in a :class:`Product`. .. method:: get_num_datasets() Gets the number of all :class:`Dataset`\ s contained in a :class:`Product`. .. method:: get_num_dsds() Gets the number of all :class:`DSD`\ s (:class:`Dataset` descriptors) contained in the :class:`Product`. .. method:: get_scene_height() Gets the :class:`Product` scene height in pixels. .. method:: get_scene_width() Gets the :class:`Product` scene width in pixels. .. method:: get_mph() The :class:`Record` representing the main product header (MPH). .. method:: get_sph() The :class:`Record` representing the specific product header (SPH). .. method:: read_bitmask_raster(bm_expr, xoffset, yoffset, raster) Calculates a bit-mask raster. Calculates a bit-mask, composed of flags of the given :class:`Product` and combined as described in the given bit-mask expression, for the a certain dimension and sub-sampling as defined in the given raster. :param bm_expr: a string holding the logical expression for the definition of the bit-mask. In a bit-mask expression, any number of the flag-names (found in the DDDB) can be composed with "(", ")", "NOT", "AND", "OR". Valid bit-mask expression are for example ``flags.LAND OR flags.CLOUD`` or ``NOT flags.WATER AND flags.TURBID_S`` :param xoffset: across-track co-ordinate in pixel co-ordinates (zero-based) of the upper right corner of the source-region :param yoffset: along-track co-ordinate in pixel co-ordinates (zero-based) of the upper right corner of the source-region :param raster: the raster for the bit-mask. The data type of the raster must be either :data:`E_TID_UCHAR` or :data:`E_TID_CHAR` :returns: zero for success, an error code otherwise .. seealso:: :func:`create_bitmask_raster`. .. method:: close Closes the :class:`Product` product and free the underlying file descriptor. This method has no effect if the :class:`Product` is already closed. Once the :class:`Product` is closed, any operation on it will raise a :exc:`ValueError`. As a convenience, it is allowed to call this method more than once; only the first call, however, will have an effect. .. method:: flush() Flush the file stream. .. rubric:: High level interface methods .. note:: the following methods are part of the *high level* Python API and do not have any corresponding function in the C API. .. attribute:: closed True if the :class:`Product` is closed. .. method:: get_dataset_names() Return the list of names of the :class:`Dataset`\ s in the :class:`Product`. .. method:: get_band_names() Return the list of names of the :class:`Band`\ s in the :class:`Product`. .. method:: datasets() Return the list of :class:`Dataset`\ s in the :class:`Product`. .. method:: bands() Return the list of :class:`Band`\ s in the :class:`Product`. .. rubric:: Special methods The :class:`Product` class provides a custom implementation of the following *special methods*: * __repr__ * __str__ * __enter__ * __exit__ .. index:: __repr__, __str__, __enter__, __exit__ pair: special; methods Dataset ~~~~~~~ .. class:: Dataset ENVISAT dataset. The Dataset class contains information about a dataset within an ENVISAT product file which has been opened with the :func:`open` function. A new Dataset instance can be obtained with the :meth:`Product.get_dataset` or :meth:`Product.get_dataset_at` methods. .. rubric:: Attributes .. attribute:: description A short description of the :class:`Band` contents. .. attribute:: product The :class:`Product` instance to which this :class:`Dataset` belongs to. .. rubric:: Methods .. method:: get_name() Gets the name of the :class:`Dataset`. .. method:: get_dsd() Gets the :class:`Dataset` descriptor (:class:`DSD`). .. method:: get_dsd_name() Gets the name of the :class:`DSD` (:class:`Dataset` descriptor). .. method:: get_num_records() Gets the number of :class:`Record`\ s of the :class:`Dataset`. .. method:: create_record() Creates a new :class:`Record`. Creates a new, empty :class:`Record` with a structure compatible with the :class:`Dataset`. Such a :class:`Record` is typically used in subsequent calls to :meth:`Dataset.read_record`. :returns: the new :class:`Record` instance .. method:: read_record(index[, record]) Reads specified :class:`Record` of the :class:`Dataset`. The :class:`Record` is identified through the given zero-based :class:`Record` index. In order to reduce memory reallocation, a :class:`Record` (pre-)created by the method :meth:`Dataset.create_record` can be passed to this method. Data is then read into this given :class:`Record`. If no :class:`Record` (``None``) is given, the method initiates a new one. In both cases, the :class:`Record` in which the data is read into will be returned. :param index: the zero-based :class:`Record` index (default: 0) :param record: a pre-created :class:`Record` to reduce memory reallocation, can be ``None`` (default) to let the function allocate a new :class:`Record` :returns: the record in which the data has been read into or raises an exception (:exc:`EPRValueError`) if an error occurred .. versionchanged:: 0.9 The *index* parameter now defaults to zero. .. rubric:: High level interface methods .. note:: the following methods are part of the *high level* Python API and do not have any corresponding function in the C API. .. method:: records() Return the list of :class:`Record`\ s contained in the :class:`Dataset`. .. rubric:: Special methods The :class:`Dataset` class provides a custom implementation of the following *special methods*: * __repr__ * __str__ * __iter__ .. index:: __repr__, __str__, __iter__ pair: special; methods Record ~~~~~~ .. class:: Record Represents a record read from an ENVISAT dataset. A record is composed of multiple fields. .. seealso:: :class:`Field` .. rubric:: Attributes .. attribute:: dataset_name The name of the :class:`Dataset` to which this :class:`Record` belongs to. .. versionadded:: 0.9 .. attribute:: tot_size The total size in bytes of the :class:`Record`. It includes all data elements of all :class:`Field`\ s of a :class:`Record` in a :class:`Product` file. *tot_size* is a derived variable, it is computed at run-time and not stored in the DSD-DB. .. versionadded:: 0.9 .. attribute:: index Index of the :class:`Record` within the :class:`Dataset`. It is *None* for empty :class:`Record`\ s (created with :meth:`Dataset.create_record` but still not read) and for *MPH* (see :meth:`Product.get_mph`) and *SPH* (see :meth:`Product.get_sph`) :class:`Record`\ s. .. seealso:: :meth:`Dataset.read_record` .. versionadded:: 0.9 .. rubric:: Methods .. method:: get_field(name) Gets a :class:`Field` specified by name. The :class:`Field` is here identified through the given name. It contains the :class:`Field` info and all corresponding values. :param name: the the name of required :class:`Field` :returns: the specified :class:`Field` or raises an exception (:exc:`EPRValueError`) if an error occurred .. method:: get_field_at(index) Gets a :class:`Field` at the specified position within the :class:`Record`. :param index: the zero-based index (position within :class:`Record`) of the :class:`Field` :returns: the :class:`Field` or raises and exception (:exc:`EPRValueError`) if an error occurred .. method:: get_num_fields() Gets the number of :class:`Field`\ s contained in the :class:`Record`. .. method:: print_([ostream]) Write the :class:`Record` to specified file (default: :data:`sys.stdout`). This method writes formatted contents of the :class:`Record` to specified *ostream* text file or (default) the ASCII output is be printed to standard output (:data:`sys.stdout`). :param ostream: the (opened) output file object .. note:: the *ostream* parameter have to be a *real* file not a generic stream object like :class:`StringIO.StringIO` instances. .. method:: print_element(field_index, element_index[, ostream]) Write the specified field element to file (default: :data:`sys.stdout`). This method writes formatted contents of the specified :class:`Field` element to the *ostream* text file or (default) the ASCII output will be printed to standard output (:data:`sys.stdout`). :param field_index: the index of :class:`Field` in the :class:`Record` :param element_index: the index of element in the specified :class:`Field` :param ostream: the (opened) output file object .. note:: the *ostream* parameter have to be a *real* file not a generic stream object like :class:`StringIO.StringIO` instances. .. method:: get_offset() :class:`Record` offset in bytes within the :class:`Dataset`. .. versionadded:: 0.9 .. rubric:: High level interface methods .. note:: the following methods are part of the *high level* Python API and do not have any corresponding function in the C API. .. method:: get_field_names Return the list of names of the :class:`Field`\ s in the :class:`Record`. .. method:: fields() Return the list of :class:`Field`\ s contained in the :class:`Record`. .. rubric:: Special methods The :class:`Record` class provides a custom implementation of the following *special methods*: * __repr__ * __str__ * __iter__ .. index:: __repr__, __str__, __iter__ pair: special; methods Field ~~~~~ .. class:: Field Represents a field within a record. A :class:`Field` is composed of one or more data elements of one of the types defined in the internal ``field_info`` structure. .. seealso:: :class:`Record` .. rubric:: Attributes .. attribute:: tot_size The total size in bytes of all data elements of a :class:`Field`. *tot_size* is a derived variable, it is computed at run-time and not stored in the DSD-DB. .. versionadded:: 0.9 .. method:: get_description() Gets the description of the :class:`Field`. .. method:: get_name() Gets the name of the :class:`Field`. .. method:: get_num_elems() Gets the number of elements of the :class:`Field`. .. method:: get_type() Gets the type of the :class:`Field`. .. method:: get_unit() Gets the unit of the :class:`Field`. .. method:: get_elem([index]) :class:`Field` single element access. This function is for getting the elements of a :class:`Field`. :param index: the zero-based index of element to be returned, must not be negative. Default: 0. :returns: the typed value from given :class:`Field` .. method:: get_elems() :class:`Field` array element access. This function is for getting an array of field elements of the :class:`Field`. :returns: the data array (:class:`numpy.ndarray`) having the type of the :class:`Field` .. versionchanged:: 0.9 the returned :class:`numpy.ndarray` shares the data buffer with the C :c:type:`Field` structure so any change in its contents is also reflected to the :class:`Filed` object .. method:: set_elem(elem, [index]) Set :class:`Field` array element. This function is for setting an array of field element of the :class:`Field`. :param elem: value of the element to set :param index: the zero-based index of element to be set, must not be negative. Default: 0. .. note:: this method does not have any corresponding function in the C API. .. versionadded:: 0.9 .. method:: set_elems(elems) Set :class:`Field` array elements. This function is for setting an array of :class:`Field` elements of the :class:`Field`. :param elems: np.ndarray of elements to set .. note:: this method does not have any corresponding function in the C API. .. versionadded:: 0.9 .. method:: print_([ostream]) Write the :class:`Field` to specified file (default: :data:`sys.stdout`). This method writes formatted contents of the :class:`Field` to specified *ostream* text file or (default) the ASCII output is be printed to standard output (:data:`sys.stdout`). :param ostream: the (opened) output file object .. note:: the *ostream* parameter have to be a *real* file not a generic stream object like :class:`StringIO.StringIO` instances .. method:: get_offset() Field offset in bytes within the :class:`Record`. .. versionadded:: 0.9 .. rubric:: Special methods The :class:`Field` class provides a custom implementation of the following *special methods*: * __repr__ * __str__ * __eq__ * __ne__ * __len__ [#]_ .. index:: __repr__, __str__, __eq__, __ne__, __len__ pair: special; methods .. rubric:: Footnotes .. [#] if the field is a :data:`E_TID_STRING` field then the :meth:`__len__` method returns the string length, otherwise the number of elements of the field is returned (same as :meth:`Field.get_num_elems`) DSD ~~~ .. class:: DSD :class:`Dataset` descriptor. The DSD class contains information about the properties of a :class:`Dataset` and its location within an ENVISAT :class:`Product` file. .. rubric:: Attributes .. attribute:: ds_name The :class:`Dataset` name. .. attribute:: ds_offset The offset of :class:`Dataset` in the :class:`Product` file. .. attribute:: ds_size The size of :class:`Dataset` in the :class:`Product` file. .. attribute:: ds_type The :class:`Dataset` type descriptor. .. attribute:: dsr_size The size of dataset record for the given :class:`Dataset` name. .. attribute:: filename The filename in the DDDB with the description of this :class:`Dataset`. .. attribute:: index The index of this :class:`DSD` (zero-based). .. attribute:: num_dsr The number of dataset records for the given :class:`Dataset` name. .. rubric:: Special methods The :class:`DSD` class provides a custom implementation of the following *special methods*: * __repr__ * __eq__ * __ne__ .. index:: __repr__, __eq__, __ne__ pair: special; methods Band ~~~~ .. class:: Band The band of an ENVISAT :class:`Product`. The Band class contains information about a band within an ENVISAT :class:`Product` file which has been opened with the :func:`open` function. A new Band instance can be obtained with the :meth:`Product.get_band` method. .. rubric:: Attributes .. attribute:: bm_expr A bit-mask expression used to filter valid pixels. All others are set to zero. .. attribute:: data_type The data type of the :class:`Band` pixels. Possible values are: * ``*`` --> the datatype remains unchanged. * ``uint8_t`` --> 8-bit unsigned integer * ``uint32_t`` --> 32-bit unsigned integer * ``Float`` --> 32-bit IEEE floating point .. attribute:: description A short description of the :class:`Band` contents. .. attribute:: lines_mirrored Mirrored lines flag. If true (=1) lines will be mirrored (flipped) after read into a raster in order to ensure a pixel ordering in raster X direction from WEST to EAST. .. attribute:: product The :class:`Product` instance to which this :class:`Band` belongs to. .. attribute:: sample_model The sample model operation. The sample model operation applied to the source :class:`Dataset` for getting the correct samples from the MDS (for example MERIS L2). Possible values are: * ``*`` --> no operation (direct copy) * ``1OF2`` --> first byte of 2-byte interleaved MDS * ``2OF2`` --> second byte of 2-byte interleaved MDS * ``0123`` --> combine 3-bytes interleaved to 4-byte integer .. attribute:: scaling_factor The scaling factor. Possible values are: * ``*`` --> no factor provided (implies scaling_method=*) * ``const`` --> a floating point constant * ``GADS.field[.field2]`` --> value is provided in global annotation :class:`Dataset` with name `GADS` in :class:`Field` `field`. Optionally a second element index for multiple-element fields can be given too .. attribute:: scaling_method The scaling method which must be applied to the raw source data in order to get the 'real' pixel values in geo-physical units. Possible values are: * ``*`` --> no scaling applied * ``Linear_Scale`` --> linear scaling applied:: y = offset + scale * x * ``Log_Scale`` --> logarithmic scaling applied:: y = log10(offset + scale * x) .. attribute:: scaling_offset Possible values are: * ``*`` --> no offset provided (implies scaling_method=*) * ``const`` --> a floating point constant * ``GADS.field[.field2]` --> value is provided in global annotation :class:`Dataset` with name ``GADS`` in :class:`Field` ``field``. Optionally a second element index for multiple-element fields can be given too .. attribute:: spectr_band_index The (zero-based) spectral :class:`Band` index. -1 if this is not a spectral :class:`Band`. .. attribute:: unit The geophysical unit for the :class:`Band` pixel values. .. attribute:: dataset The source :class:`Dataset`. The source :class:`Dataset` containing the raw data used to create the :class:`Band` pixel values. .. versionadded:: 0.9 .. rubric:: Methods .. method:: get_name() Gets the name of the :class:`Band`. .. method:: create_compatible_raster([src_width, src_height, xstep, ystep]) Creates a :class:`Raster` which is compatible with the data type of the :class:`Band`. The created :class:`Raster` is used to read the data in it (see :meth:`Band.read_raster`). The :class:`Raster` is defined on the grid of the :class:`Product`, from which the data are read. Spatial subsets and under-sampling are possible) through the parameter of the method. A :class:`Raster` is an object that allows direct access to data of a certain portion of the ENVISAT :class:`Product` that are read into the it. Such a portion is called the source. The complete ENVISAT :class:`Product` can be much greater than the source. One can move the :class:`Raster` over the complete ENVISAT :class:`Product` and read in turn different parts (always of the size of the source) of it into the :class:`Raster`. The source is specified by the parameters *height* and *width*. A typical example is a processing in blocks. Lets say, a block has 64x32 pixel. Then, my source has a width of 64 pixel and a height of 32 pixel. Another example is a processing of complete image lines. Then, my source has a widths of the complete product (for example 1121 for a MERIS RR product), and a height of 1). One can loop over all blocks read into the :clasS:`Raster` and process it. In addition, it is possible to defined a sub-sampling step for a :class:`Raster`. This means, that the source is not read 1:1 into the :class:`Raster`, but that only every 2nd or 3rd pixel is read. This step can be set differently for the across track (source_step_x) and along track (source_step_y) directions. :param src_width: the width (across track dimension) of the source to be read into the :class:`Raster`. Default: scene width (see :attr:`Product.get_scene_width`) :param src_height: the height (along track dimension) of the source to be read into the :class:`Raster`. Default: scene height (see :attr:`Product.get_scene_height`) :param xstep: the sub-sampling step across track of the source when reading into the :class:`Raster`. Default: 1. :param ystep: the sub-sampling step along track of the source when reading into the :class:`Raster`. Default: 1. :returns: the new :class:`Raster` instance or raises an exception (:exc:`EPRValueError`) if an error occurred .. note:: *src_width* and *src_height* are the dimantion of the of the source area. If one specifies a *step* parameter the resulting :class:`Raster` will have a size that is smaller that the specifies source size:: raster_size = src_size // step .. method:: read_raster([xoffset, yoffset, raster]) Reads (geo-)physical values of the :class:`Band` of the specified source-region. The source-region is a defined part of the whole ENVISAT :class:`Product` image, which shall be read into a :class:`Raster`. In this routine the co-ordinates are specified, where the source-region to be read starts. The dimension of the region and the sub-sampling are attributes of the :class:`Raster` into which the data are read. :param xoffset: across-track source co-ordinate in pixel co-ordinates (zero-based) of the upper right corner of the source-region. Default 0. :param yoffset: along-track source co-ordinate in pixel co-ordinates (zero-based) of the upper right corner of the source-region. Default 0. :param raster: :class:`Raster` instance set with appropriate parameters to read into. If not provided a new :class:`Raster` is instantiated :returns: the :class:`Raster` instance in which data are read This method raises an instance of the appropriate :exc:`EPRError` sub-class if case of errors .. seealso:: :meth:`Band.create_compatible_raster` and :func:`create_raster` .. rubric:: High level interface methods .. note:: the following methods are part of the *high level* Python API and do not have any corresponding function in the C API. .. method:: read_as_array([width, height, xoffset, yoffset, xstep, ystep]) Reads the specified source region as an :class:`numpy.ndarray`. The source-region is a defined part of the whole ENVISAT :class:`Product` image, which shall be read into a :class:`Raster`. In this routine the co-ordinates are specified, where the source-region to be read starts. The dimension of the region and the sub-sampling are attributes of the :class:`Raster` into which the data are read. :param src_width: the width (across track dimension) of the source to be read into the :class:`Raster`. If not provided reads as much as possible :param src_height: the height (along track dimension) of the source to be read into the :class:`Raster`, If not provided reads as much as possible :param xoffset: across-track source co-ordinate in pixel co-ordinates (zero-based) of the upper right corner of the source-region. Default 0. :param yoffset: along-track source co-ordinate in pixel co-ordinates (zero-based) of the upper right corner of the source-region. Default 0. :param xstep: the sub-sampling step across track of the source when reading into the :class:`Raster`. Default: 1 :param ystep: the sub-sampling step along track of the source when reading into the :class:`Raster`. Default: 1 :returns: the :class:`numpy.ndarray` instance in which data are read This method raises an instance of the appropriate :exc:`EPRError` sub-class if case of errors .. seealso:: :meth:`Band.create_compatible_raster`, :func:`create_raster` and :meth:`Band.read_raster` .. rubric:: Special methods The :class:`Band` class provides a custom implementation of the following *special methods*: * __repr__ .. index:: __repr__ pair: special; methods Raster ~~~~~~ .. class:: Raster Represents a raster in which data will be stored. All 'size' parameter are in PIXEL. .. rubric:: Attributes .. attribute:: data_type The data type of the :class:`Band` pixels. All ``E_TID_*`` types are possible. .. attribute:: source_height The height of the source. .. attribute:: source_width The width of the source. .. attribute:: source_step_x The sub-sampling for the across-track direction in pixel. .. attribute:: source_step_y The sub-sampling for the along-track direction in pixel. .. rubric:: High level interface attributes .. note:: the following attributess are part of the *high level* Python API and do not have a counterpart in the C API. .. attribute:: data Raster data exposed as :class:`numpy.ndarray` object. .. note:: this property shares the data buffer with the :class:`Raster` object so any change in its contents is also reflected to the :class:`Raster` object .. note:: the :class:`Raster` objects do not have a :class:`Field` named *data* in the corresponding C structure. The *EPR_SRaster* C structure have a :class:`Field` named *buffer* that is a raw pointer to the data buffer and it is not exposed as such in the Python API. .. rubric:: Methods .. method:: get_pixel(x, y) Single pixel access. This function is for getting the values of the elements of a :class:`Raster` (i.e. pixel) :param x: the (zero-based) X coordinate of the pixel :param y: the (zero-based) Y coordinate of the pixel :returns: the typed value at the given co-ordinate .. method:: get_elem_size() The size in byte of a single element (sample) of this :class:`Raster` buffer. .. method:: get_height() Gets the :class:`Raster` height in pixels. .. method:: get_width() Gets the :class:`Raster` width in pixels. .. rubric:: Special methods The :class:`Raster` class provides a custom implementation of the following *special methods*: * __repr__ .. index:: __repr__ pair: special; methods EPRTime ~~~~~~~ .. class:: EPRTime Convenience class for time data exchange. EPRTime is a :class:`collections.namedtuple` with the following fields: .. attribute:: days .. attribute:: seconds .. attribute:: microseconds .. index:: function Functions --------- .. function:: open(filename, mode='rb') Open the ENVISAT product. Opens the ENVISAT :class:`Product` file with the given file path, reads MPH, SPH and all :class:`DSD`\ s, organized the table with parameter of line length and tie points number. :param product_file_path: the path to the ENVISAT :class:`Product` file :param mode: string that specifies the mode in which the file is opened. Allowed values: `rb` for read-only mode, `rb+` for read-write mode. Default: mode=`rb`. :returns: the :class:`Product` instance representing the specified product. An exception (:exc:`exceptions.ValueError`) is raised if the file could not be opened. The :class:`Product` class supports context management so the recommended way to ensure that a product is actually closed as soon as a task is completed is to use the ``with`` statement:: with open('ASA_IMP_1PNUPA20060202_ ... _3110.N1') as product: dataset = product.get_dataset('MAIN_PROCESSING_PARAMS_ADS') record = dataset.read_record(0) print(record) .. seealso :class:`Product` .. function:: data_type_id_to_str(type_id) Gets the 'C' data type string for the given data type. .. function:: get_data_type_size(type_id) Gets the size in bytes for an element of the given data type. .. function:: get_numpy_dtype(type_id) Return the numpy data-type specified EPR type ID. .. versionadded:: 0.9 .. function:: get_sample_model_name(model) Return the name of the specified sample model. .. function:: get_scaling_method_name(method) Return the name of the specified scaling method. .. function:: create_raster(data_type, src_width, src_height[, xstep, ystep]) Creates a :class:`Raster` of the specified data type. This function can be used to create any type of raster, e.g. for later use as a bit-mask. :param data_type: the type of the data to stored in the :class:`Raster`, must be one of E_TID_*. .. seealso:: `Data type Identifiers`_ :param src_width: the width (across track dimension) of the source to be read into the :class:`Raster`. See description of :meth:`Band.create_compatible_raster` :param src_height: the height (along track dimension) of the source to be read into the :class:`Raster`. See description of :meth:`Band.create_compatible_raster` :param xstep: the sub-sampling step across track of the source when reading into the :class:`Raster`. Default: 1. :param ystep: the sub-sampling step along track of the source when reading into the :class:`Raster`. Default: 1. :returns: the new :class:`Raster` instance .. seealso:: description of :meth:`Band.create_compatible_raster` .. function:: create_bitmask_raster(src_width, src_height[, xstep, ystep]) Creates a :class:`Raster` to be used for reading bitmasks. The :class:`Raster` returned always is of type ``byte``. :param src_width: the width (across track dimension) of the source to be read into the :class:`Raster` :param src_height: the height (along track dimension) of the source to be read into the :class:`Raster` :param xstep: the sub-sampling step across track of the source when reading into the :class:`Raster`. Default: 1. :param ystep: the sub-sampling step along track of the source when reading into the :class:`Raster`. Default: 1. :returns: the new :class:`Raster` instance or raises an exception (:exc:`EPRValueError`) if an error occurred .. seealso:: the description of :meth:`Band.create_compatible_raster` .. index:: exception, error Exceptions ---------- EPRError ~~~~~~~~ .. exception:: EPRError EPR API error. .. attribute:: code EPR API error code. .. method:: __init__([message[, code, *args, **kwargs]]) Initializer. :param message: error message :param code: EPR error code EPRValueError ~~~~~~~~~~~~~ .. exception:: EPRValueError Inherits both :exc:`EPRError` and standard :exc:`exceptions.ValueError`. Data ---- .. data:: __version__ Version string of PyEPR. .. data:: EPR_C_API_VERSION Version string of the wrapped `EPR API`_ C library. Data type identifiers ~~~~~~~~~~~~~~~~~~~~~ .. data:: E_TID_UNKNOWN .. data:: E_TID_UCHAR .. data:: E_TID_CHAR .. data:: E_TID_USHORT .. data:: E_TID_SHORT .. data:: E_TID_UINT .. data:: E_TID_INT .. data:: E_TID_FLOAT .. data:: E_TID_DOUBLE .. data:: E_TID_STRING .. data:: E_TID_SPARE .. data:: E_TID_TIME .. index:: pair: sample; model Sample Models ~~~~~~~~~~~~~ .. data:: E_SMOD_1OF1 .. data:: E_SMOD_1OF2 .. data:: E_SMOD_2OF2 .. data:: E_SMOD_3TOI .. data:: E_SMOD_2TOF .. index:: pair: scaling; method Scaling Methods ~~~~~~~~~~~~~~~ .. data:: E_SMID_NON No scaling. .. data:: E_SMID_LIN Linear pixel scaling. .. index:: linear .. data:: E_SMID_LOG Logarithmic pixel scaling. .. index:: logarithmic pyepr-1.1.3/doc/sphinxext/000077500000000000000000000000001414372560000154545ustar00rootroot00000000000000pyepr-1.1.3/doc/sphinxext/LICENSE.txt000066400000000000000000000072671414372560000173130ustar00rootroot00000000000000============================= The IPython licensing terms ============================= IPython is licensed under the terms of the Modified BSD License (also known as New or Revised BSD), as follows: Copyright (c) 2008-2010, 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: http://github.com/ipython. As of late 2010, it consists of: * Brian E. Granger * Jonathan March * Evan Patterson * Fernando Perez * Min Ragan-Kelley * Robert Kern 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) 2010, IPython Development Team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file COPYING.txt, distributed with this software. #----------------------------------------------------------------------------- pyepr-1.1.3/doc/sphinxext/ipython_console_highlighting.py000066400000000000000000000465541414372560000240050ustar00rootroot00000000000000### IPython/lib/lexers.py #################################################### # -*- coding: utf-8 -*- """ Defines a variety of Pygments lexers for highlighting IPython code. This includes: IPythonLexer, IPython3Lexer Lexers for pure IPython (python + magic/shell commands) IPythonPartialTracebackLexer, IPythonTracebackLexer Supports 2.x and 3.x via 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. 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. This is probably the only lexer that needs to be explicitly added to Pygments. """ #----------------------------------------------------------------------------- # Copyright (c) 2013, the IPython Development Team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file COPYING.txt, distributed with this software. #----------------------------------------------------------------------------- # Standard library import re # Third party from pygments.lexers import BashLexer, PythonLexer, Python3Lexer from pygments.lexer import ( Lexer, DelegatingLexer, RegexLexer, do_insertions, bygroups, using, ) from pygments.token import ( Generic, Keyword, Literal, Name, Operator, Other, Text, Error, ) from pygments.util import get_bool_opt # Local line_re = re.compile('.*?\n') __all__ = ['build_ipy_lexer', 'IPython3Lexer', 'IPythonLexer', 'IPythonPartialTracebackLexer', 'IPythonTracebackLexer', 'IPythonConsoleLexer', 'IPyLexer'] ipython_tokens = [ (r"(?s)(\s*)(%%)(\w+)(.*)", bygroups(Text, Operator, Keyword, Text)), (r'(?s)(^\s*)(%%!)([^\n]*\n)(.*)', bygroups(Text, Operator, Text, using(BashLexer))), (r"(%%?)(\w+)(\?\??)$", bygroups(Operator, Keyword, Operator)), (r"\b(\?\??)(\s*)$", bygroups(Operator, Text)), (r'(%)(sx|sc|system)(.*)(\n)', bygroups(Operator, Keyword, using(BashLexer), Text)), (r'(%)(\w+)(.*\n)', bygroups(Operator, Keyword, Text)), (r'^(!!)(.+)(\n)', bygroups(Operator, using(BashLexer), Text)), (r'(!)(?!=)(.+)(\n)', bygroups(Operator, using(BashLexer), Text)), (r'^(\s*)(\?\??)(\s*%{0,2}[\w\.\*]*)', bygroups(Text, Operator, Text)), (r'(\s*%{0,2}[\w\.\*]*)(\?\??)(\s*)$', bygroups(Text, Operator, Text)), ] def build_ipy_lexer(python3): """Builds IPython lexers depending on the value of `python3`. The lexer inherits from an appropriate Python lexer and then adds information about IPython specific keywords (i.e. magic commands, shell commands, etc.) Parameters ---------- python3 : bool If `True`, then build an IPython lexer from a Python 3 lexer. """ # It would be nice to have a single IPython lexer class which takes # a boolean `python3`. But since there are two Python lexer classes, # we will also have two IPython lexer classes. if python3: PyLexer = Python3Lexer name = 'IPython3' aliases = ['ipython3'] doc = """IPython3 Lexer""" else: PyLexer = PythonLexer name = 'IPython' aliases = ['ipython2', 'ipython'] doc = """IPython Lexer""" tokens = PyLexer.tokens.copy() tokens['root'] = ipython_tokens + tokens['root'] attrs = {'name': name, 'aliases': aliases, 'filenames': [], '__doc__': doc, 'tokens': tokens} return type(name, (PyLexer,), attrs) IPython3Lexer = build_ipy_lexer(python3=True) IPythonLexer = build_ipy_lexer(python3=False) class IPythonPartialTracebackLexer(RegexLexer): """ Partial lexer for IPython tracebacks. Handles all the non-python output. This works for both Python 2.x and 3.x. """ name = 'IPython Partial Traceback' tokens = { 'root': [ # Tracebacks for syntax errors have a different style. # For both types of tracebacks, we mark the first line with # Generic.Traceback. For syntax errors, we mark the filename # as we mark the filenames for non-syntax tracebacks. # # These two regexps define how IPythonConsoleLexer finds a # traceback. # ## Non-syntax traceback (r'^(\^C)?(-+\n)', bygroups(Error, Generic.Traceback)), ## Syntax traceback (r'^( File)(.*)(, line )(\d+\n)', bygroups(Generic.Traceback, Name.Namespace, Generic.Traceback, Literal.Number.Integer)), # (Exception Identifier)(Whitespace)(Traceback Message) (r'(?u)(^[^\d\W]\w*)(\s*)(Traceback.*?\n)', bygroups(Name.Exception, Generic.Whitespace, Text)), # (Module/Filename)(Text)(Callee)(Function Signature) # Better options for callee and function signature? (r'(.*)( in )(.*)(\(.*\)\n)', bygroups(Name.Namespace, Text, Name.Entity, Name.Tag)), # Regular line: (Whitespace)(Line Number)(Python Code) (r'(\s*?)(\d+)(.*?\n)', bygroups(Generic.Whitespace, Literal.Number.Integer, Other)), # Emphasized line: (Arrow)(Line Number)(Python Code) # Using Exception token so arrow color matches the Exception. (r'(-*>?\s?)(\d+)(.*?\n)', bygroups(Name.Exception, Literal.Number.Integer, Other)), # (Exception Identifier)(Message) (r'(?u)(^[^\d\W]\w*)(:.*?\n)', bygroups(Name.Exception, Text)), # Tag everything else as Other, will be handled later. (r'.*\n', Other), ], } class IPythonTracebackLexer(DelegatingLexer): """ IPython traceback lexer. For doctests, the tracebacks can be snipped as much as desired with the exception to the lines that designate a traceback. For non-syntax error tracebacks, this is the line of hyphens. For syntax error tracebacks, this is the line which lists the File and line number. """ # The lexer inherits from DelegatingLexer. The "root" lexer is an # appropriate IPython lexer, which depends on the value of the boolean # `python3`. First, we parse with the partial IPython traceback lexer. # Then, any code marked with the "Other" token is delegated to the root # lexer. # name = 'IPython Traceback' aliases = ['ipythontb'] def __init__(self, **options): self.python3 = get_bool_opt(options, 'python3', False) if self.python3: self.aliases = ['ipython3tb'] else: self.aliases = ['ipython2tb', 'ipythontb'] if self.python3: IPyLexer = IPython3Lexer else: IPyLexer = IPythonLexer DelegatingLexer.__init__(self, IPyLexer, IPythonPartialTracebackLexer, **options) class IPythonConsoleLexer(Lexer): """ An IPython console lexer for IPython code-blocks and doctests, such as: .. code-block:: rst .. code-block:: ipythonconsole In [1]: a = 'foo' In [2]: a Out[2]: 'foo' In [3]: print a foo In [4]: 1 / 0 Support is also provided for IPython exceptions: .. code-block:: rst .. code-block:: ipythonconsole In [1]: raise Exception --------------------------------------------------------------------------- Exception Traceback (most recent call last) in () ----> 1 raise Exception Exception: """ name = 'IPython console session' aliases = ['ipythonconsole'] mimetypes = ['text/x-ipython-console'] # The regexps used to determine what is input and what is output. # The default prompts for IPython are: # # in = 'In [#]: ' # continuation = ' .D.: ' # template = 'Out[#]: ' # # Where '#' is the 'prompt number' or 'execution count' and 'D' # D is a number of dots matching the width of the execution count # in1_regex = r'In \[[0-9]+\]: ' in2_regex = r' \.\.+\.: ' out_regex = r'Out\[[0-9]+\]: ' #: The regex to determine when a traceback starts. ipytb_start = re.compile(r'^(\^C)?(-+\n)|^( File)(.*)(, line )(\d+\n)') def __init__(self, **options): """Initialize the IPython console lexer. Parameters ---------- python3 : bool If `True`, then the console inputs are parsed using a Python 3 lexer. Otherwise, they are parsed using a Python 2 lexer. in1_regex : RegexObject The compiled regular expression used to detect the start of inputs. Although the IPython configuration setting may have a trailing whitespace, do not include it in the regex. If `None`, then the default input prompt is assumed. in2_regex : RegexObject The compiled regular expression used to detect the continuation of inputs. Although the IPython configuration setting may have a trailing whitespace, do not include it in the regex. If `None`, then the default input prompt is assumed. out_regex : RegexObject The compiled regular expression used to detect outputs. If `None`, then the default output prompt is assumed. """ self.python3 = get_bool_opt(options, 'python3', False) if self.python3: self.aliases = ['ipython3console'] else: self.aliases = ['ipython2console', 'ipythonconsole'] in1_regex = options.get('in1_regex', self.in1_regex) in2_regex = options.get('in2_regex', self.in2_regex) out_regex = options.get('out_regex', self.out_regex) # So that we can work with input and output prompts which have been # rstrip'd (possibly by editors) we also need rstrip'd variants. If # we do not do this, then such prompts will be tagged as 'output'. # The reason can't just use the rstrip'd variants instead is because # we want any whitespace associated with the prompt to be inserted # with the token. This allows formatted code to be modified so as hide # the appearance of prompts, with the whitespace included. One example # use of this is in copybutton.js from the standard lib Python docs. in1_regex_rstrip = in1_regex.rstrip() + '\n' in2_regex_rstrip = in2_regex.rstrip() + '\n' out_regex_rstrip = out_regex.rstrip() + '\n' # Compile and save them all. attrs = ['in1_regex', 'in2_regex', 'out_regex', 'in1_regex_rstrip', 'in2_regex_rstrip', 'out_regex_rstrip'] for attr in attrs: self.__setattr__(attr, re.compile(locals()[attr])) Lexer.__init__(self, **options) if self.python3: pylexer = IPython3Lexer tblexer = IPythonTracebackLexer else: pylexer = IPythonLexer tblexer = IPythonTracebackLexer self.pylexer = pylexer(**options) self.tblexer = tblexer(**options) self.reset() def reset(self): self.mode = 'output' self.index = 0 self.buffer = u'' self.insertions = [] def buffered_tokens(self): """ Generator of unprocessed tokens after doing insertions and before changing to a new state. """ if self.mode == 'output': tokens = [(0, Generic.Output, self.buffer)] elif self.mode == 'input': tokens = self.pylexer.get_tokens_unprocessed(self.buffer) else: # traceback tokens = self.tblexer.get_tokens_unprocessed(self.buffer) for i, t, v in do_insertions(self.insertions, tokens): # All token indexes are relative to the buffer. yield self.index + i, t, v # Clear it all self.index += len(self.buffer) self.buffer = u'' self.insertions = [] def get_mci(self, line): """ Parses the line and returns a 3-tuple: (mode, code, insertion). `mode` is the next mode (or state) of the lexer, and is always equal to 'input', 'output', or 'tb'. `code` is a portion of the line that should be added to the buffer corresponding to the next mode and eventually lexed by another lexer. For example, `code` could be Python code if `mode` were 'input'. `insertion` is a 3-tuple (index, token, text) representing an unprocessed "token" that will be inserted into the stream of tokens that are created from the buffer once we change modes. This is usually the input or output prompt. In general, the next mode depends on current mode and on the contents of `line`. """ # To reduce the number of regex match checks, we have multiple # 'if' blocks instead of 'if-elif' blocks. # Check for possible end of input in2_match = self.in2_regex.match(line) in2_match_rstrip = self.in2_regex_rstrip.match(line) if (in2_match and in2_match.group().rstrip() == line.rstrip()) or \ in2_match_rstrip: end_input = True else: end_input = False if end_input and self.mode != 'tb': # Only look for an end of input when not in tb mode. # An ellipsis could appear within the traceback. mode = 'output' code = u'' insertion = (0, Generic.Prompt, line) return mode, code, insertion # Check for output prompt out_match = self.out_regex.match(line) out_match_rstrip = self.out_regex_rstrip.match(line) if out_match or out_match_rstrip: mode = 'output' if out_match: idx = out_match.end() else: idx = out_match_rstrip.end() code = line[idx:] # Use the 'heading' token for output. We cannot use Generic.Error # since it would conflict with exceptions. insertion = (0, Generic.Heading, line[:idx]) return mode, code, insertion # Check for input or continuation prompt (non stripped version) in1_match = self.in1_regex.match(line) if in1_match or (in2_match and self.mode != 'tb'): # New input or when not in tb, continued input. # We do not check for continued input when in tb since it is # allowable to replace a long stack with an ellipsis. mode = 'input' if in1_match: idx = in1_match.end() else: # in2_match idx = in2_match.end() code = line[idx:] insertion = (0, Generic.Prompt, line[:idx]) return mode, code, insertion # Check for input or continuation prompt (stripped version) in1_match_rstrip = self.in1_regex_rstrip.match(line) if in1_match_rstrip or (in2_match_rstrip and self.mode != 'tb'): # New input or when not in tb, continued input. # We do not check for continued input when in tb since it is # allowable to replace a long stack with an ellipsis. mode = 'input' if in1_match_rstrip: idx = in1_match_rstrip.end() else: # in2_match idx = in2_match_rstrip.end() code = line[idx:] insertion = (0, Generic.Prompt, line[:idx]) return mode, code, insertion # Check for traceback if self.ipytb_start.match(line): mode = 'tb' code = line insertion = None return mode, code, insertion # All other stuff... if self.mode in ('input', 'output'): # We assume all other text is output. Multiline input that # does not use the continuation marker cannot be detected. # For example, the 3 in the following is clearly output: # # In [1]: print 3 # 3 # # But the following second line is part of the input: # # In [2]: while True: # print True # # In both cases, the 2nd line will be 'output'. # mode = 'output' else: mode = 'tb' code = line insertion = None return mode, code, insertion def get_tokens_unprocessed(self, text): self.reset() for match in line_re.finditer(text): line = match.group() mode, code, insertion = self.get_mci(line) if mode != self.mode: # Yield buffered tokens before transitioning to new mode. for token in self.buffered_tokens(): yield token self.mode = mode if insertion: self.insertions.append((len(self.buffer), [insertion])) self.buffer += code for token in self.buffered_tokens(): yield token class IPyLexer(Lexer): """ Primary lexer for all IPython-like code. This is a simple helper lexer. If the first line of the text begins with "In \[[0-9]+\]:", then the entire text is parsed with an IPython console lexer. If not, then the entire text is parsed with an IPython lexer. The goal is to reduce the number of lexers that are registered with Pygments. """ name = 'IPy session' aliases = ['ipy'] def __init__(self, **options): self.python3 = get_bool_opt(options, 'python3', False) if self.python3: self.aliases = ['ipy3'] else: self.aliases = ['ipy2', 'ipy'] Lexer.__init__(self, **options) self.IPythonLexer = IPythonLexer(**options) self.IPythonConsoleLexer = IPythonConsoleLexer(**options) def get_tokens_unprocessed(self, text): # Search for the input prompt anywhere...this allows code blocks to # begin with comments as well. if re.match(r'.*(In \[[0-9]+\]:)', text.strip(), re.DOTALL): lex = self.IPythonConsoleLexer else: lex = self.IPythonLexer for token in lex.get_tokens_unprocessed(text): yield token ### IPython/sphinxext/ipython_console_highighting.py ######################### """ reST directive for syntax-highlighting ipython interactive sessions. """ from sphinx import highlighting # from IPython.lib.lexers import IPyLexer def setup(app): """Setup as a sphinx extension.""" # This is only a lexer, so adding it below to pygments appears sufficient. # But if somebody knows what the right API usage should be to do that via # sphinx, by all means fix it here. At least having this setup.py # suppresses the sphinx warning we'd get without it. metadata = {'parallel_read_safe': True, 'parallel_write_safe': True} return metadata # Register the extension as a valid pygments lexer. # Alternatively, we could register the lexer with pygments instead. This would # require using setuptools entrypoints: http://pygments.org/docs/plugins ipy2 = IPyLexer(python3=False) ipy3 = IPyLexer(python3=True) highlighting.lexers['ipython'] = ipy2 highlighting.lexers['ipython2'] = ipy2 highlighting.lexers['ipython3'] = ipy3 pyepr-1.1.3/doc/tutorials.rst000066400000000000000000000002711414372560000162020ustar00rootroot00000000000000Tutorials ========= .. index:: tutorial .. toctree:: :maxdepth: 2 interactive_use bands_example bitmask_example ndvi_example update_example gdal_export_example pyepr-1.1.3/doc/update_example.rst000066400000000000000000000126511414372560000171560ustar00rootroot00000000000000Update :class:`Field` elements ------------------------------ .. highlight:: ipython .. index:: update, field, read-only, EPR-API, MERIS pair: open; mode The EPR C API has been designed to provide read-only features. PyEPR_ provides and extra capability consisting in the possibility to modify (*update*) an existing ENVISAT_ :class:`Product`. Lets consider a MERIS Level 2 low resolution product ( `MER_LRC_2PTGMV20000620_104318_00000104X000_00000_00000_0001.N1`). It has a :class:`Band` named `water_vapour` containing the water vapour content at a specific position. One can load water vapour and compute an histogram using the following instructions: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/update_elements.py :language: python :lines: 8-13 .. index:: matplotlib The resulting histogram can be plot using Matplotlib_: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/update_elements.py :language: python :lines: 15-19 .. figure:: images/water_vapour_histogram_01.* :width: 60% Histogram of the original water vapour content The actual values of the water vapour content :class:`Band` are computed starting form data stored in the `Vapour_Content` :class:`Dataset` using scaling factors contained in the `Scaling_Factor_GADS` :class:`Dataset`. In particular :class:`Field`\ s `sf_wvapour` and `off_wvapour` are used:: In [21]: dataset = product.get_dataset('Scaling_Factor_GADS') In [22]: print(dataset) epr.Dataset(Scaling_Factor_GADS) 1 records sf_cl_opt_thick = 1.000000 sf_cloud_top_press = 4.027559 sf_wvapour = 0.100000 off_cl_opt_thick = -1.000000 off_cloud_top_press = -4.027559 off_wvapour = -0.100000 spare_1 = <> .. index:: band pair: scaling; factor Now suppose that for some reason one needs to update the `sf_wvapour` scaling factor for the water vapour content. Changing the scaling factor, of course, will change all values in the `water_vapour` :class:`Band`. The change can be performed using the :meth:`Field.set_elem` and :meth:`Field.set_elems` methods of :class:`Field` objects: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/update_elements.py :language: python :lines: 22-30 Now the `sf_wvapour` scaling factor has been changed and it is possible to compute and display the histogram of modified data in the `water_vapour` :class:`Band`: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/update_elements.py :language: python :lines: 32-46 .. figure:: images/water_vapour_histogram_02.* :width: 60% Histogram of the water vapour content (original and modified) Figure above shows the two different histograms, original data in blue and modified data in red, demonstrating the effect of the change of the scaling factor. The new map of water vapour is showed in the following picture: .. figure:: images/modified_water_vapour.* Modified water vapour content map .. important:: it is important to stress that it is necessary to close and re-open the :class:`Product` in order to see changes in the scaling factors applied to the `water_vapour`:class:`Band` data. This is a limitation of the current implementation that could be removed in future versions of the PyEPR_ package. It has been showed that changing the `sf_wvapour` scaling factor modifies all values of the `water_vapour` :class:`Band`. Now suppose that one needs to modify only a specific area. It can be done changing the contents of the `Vapour_Content` :class:`Dataset`. The :class:`Dataset` size can be read form the :class:`Product`:: In [44]: product.get_scene_height(), product.get_scene_width() Out[44]: (149, 281) while information about the fields in each record can be retrieved introspecting the :class:`Record` object:: In [49]: record = dataset.read_record(0) In [50]: record.get_field_names() Out[50]: ['dsr_time', 'quality_flag', 'wvapour_cont_pix'] In [51]: record.get_field('wvapour_cont_pix') Out[51]: epr.Field("wvapour_cont_pix") 281 uchar elements So the name of the :class:`Field` we need to change is the `wvapour_cont_pix`, and its index is `2`. It is possible to change a small box inside the :class:`Dataset` as follows: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/update_elements.py :language: python :lines: 58-66 Please note that when one modifies the content of a :class:`Dataset` he/she should also take into account id the corresponding band has lines mirrored or not:: In [59]: band = p.get_band('water_vapour') In [60]: band.lines_mirrored Out[60]: True Finally the :class:`Product` can be re-opened to load and display the modified :class:`Band`: .. raw:: latex \fvset{fontsize=\footnotesize} .. literalinclude:: examples/update_elements.py :language: python :lines: 69-80 .. figure:: images/modified_water_vapour_with_box.* Modified water vapour content map with zeroed box Of course values in the box that has been set to zero in the :class:`Dataset` are transformed according to the scaling factor and offset parameters associated to `water_vapour` :class:`Band`. The complete code of the example can be found at :download:`examples/update_elements.py`. .. _PyEPR: https://github.com/avalentino/pyepr .. _ENVISAT: https://envisat.esa.int .. _Matplotlib: https://matplotlib.org .. raw:: latex \clearpage pyepr-1.1.3/doc/usermanual.rst000066400000000000000000000414541414372560000163400ustar00rootroot00000000000000User Manual =========== .. index:: EPR-API, ENVISAT, MERIS, AASTR, ASAR, ESA single: product; dataset; record; close pair: epr; module Quick start ----------- PyEPR_ provides Python_ bindings for the ENVISAT Product Reader C API (`EPR API`_) for reading satellite data from ENVISAT_ ESA_ (European Space Agency) mission. PyEPR_, as well as the `EPR API`_ for C, supports ENVISAT_ MERIS, AATSR Level 1B and Level 2 and also ASAR data products. It provides access to the data either on a geophysical (decoded, ready-to-use pixel samples) or on a raw data layer. The raw data access makes it possible to read any data field contained in a product file. Full access to the Python EPR API is provided by the :mod:`epr` module that have to be imported by the client program e.g. as follows:: import epr The following snippet open an ASAR product and dumps the "Main Processing Parameters" record to the standard output:: import epr product = epr.Product( 'ASA_IMP_1PNUPA20060202_062233_000000152044_00435_20529_3110.N1') dataset = product.get_dataset('MAIN_PROCESSING_PARAMS_ADS') record = dataset.read_record(0) print(record) product.close() Since version 0.9 PyEPR_ also include *update* features that are not available in the EPR C API. The user can open a product in update mode ('rb+') and call the :meth:`epr.Field.set_elem` and :meth:`epr.Field.set_elems` methods of :class:`epr.Field` class to update its elements and write changes to disk. .. seealso:: `Update support`_ and :doc:`update_example` tutorial for details. .. index:: pair: open; mode .. _PyEPR: https://github.com/avalentino/pyepr .. _Python: https://www.python.org .. _`EPR API`: https://github.com/bcdev/epr-api .. _ENVISAT: https://envisat.esa.int .. _ESA: https://earth.esa.int .. index:: requirements, EPR-API, Python, numpy, cython, pytest, gcc, extension Requirements ------------ In order to use PyEPR it is needed that the following software are correctly installed and configured: * Python3_ >= 3.5 (including PyPy3_) * numpy_ >= 1.7.0 * `EPR API`_ >= 2.2 (optional, since PyEPR 0.7 the source tar-ball comes with a copy of the EPR C API sources) * a reasonably updated C compiler [#]_ (build only) * Cython_ >= 0.29.22 [#]_ (build only) * pytest_ (optional and only needed for testing) .. [#] PyEPR_ has been developed and tested with gcc_ 4. .. [#] The source tarball of official releases also includes the C extension code generated by cython_ so users don't strictly need cython_ to install PyEPR_. It is only needed to re-generate the C extension code (e.g. if one wants to build a development version of PyEPR_). .. _Python3: Python_ .. _PyPy3: https://www.pypy.org .. _numpy: https://numpy.org .. _gcc: http://gcc.gnu.org .. _Cython: https://cython.org .. _pytest: https://pytest.org .. index:: download, PyPi, GitHub, project, git pair: git; clone Download -------- .. highlight:: sh Official source tar-balls can be downloaded form PyPi_: https://pypi.org/project/pyepr The source code of the development versions is available on the GitHub_ project page https://github.com/avalentino/pyepr To clone the git_ repository the following command can be used:: $ git clone https://github.com/avalentino/pyepr.git To get also the EPR C API source code, the following commands are necessary:: $ cd pyepr $ git submodule init Submodule 'extern/epr-api' (https://github.com/avalentino/epr-api.git) registered for path 'extern/epr-api' $ git submodule update Cloning into '/Users/antonio valentino/projects/av/pyepr/extern/epr-api'... Submodule path 'extern/epr-api': checked out '93c1f1efce26c64d508fe882d5c72a898a068f29' .. _PyPi: https://pypi.org .. _GitHub: https://github.com .. _git: https://git-scm.com .. index:: install, pip pair: install; user pair: install; option pair: install; prefix .. _installation: Installation ------------ The easier way to install PyEPR_ is using tools like pip_:: $ python3 -m pip install pyepr For a user specific installation please use:: $ python3 -m pip install --user pyepr To install PyEPR_ in a non-standard path:: $ python3 -m pip install --install-option="--prefix=" pyepr just make sure that :file:`/lib/pythonX.Y/site-packages` is in the :envvar:`PYTHONPATH`. .. index:: single: sources; setup.py pair: standalone; mode pair: EPR-API; sources pair: dynamic; library pair: git; repository PyEPR_ can be installed from sources using the following command:: $ python3 -m pip install . The :file:`setup.py` script by default checks for the availability of the EPR C API source code in the :file:`/epr-api-src` directory and tries to build PyEPR in *standalone mode*, i.e. without linking an external dynamic library of EPR-API. If no EPR C API sources are found then the :file:`setup.py` script automatically tries to link the EPR-API dynamic library. This can happen, for example, if the user is using a copy of the PyEPR sources cloned from a git_ repository. In this case it is assumed that the `EPR API`_ C library is properly installed in the system (see the Requirements_ section). It is possible to control which `EPR API`_ C sources to use by means of the `--epr-api-src` option of the :file:`setup.py` script:: $ python3 setup.py install --epr-api-src=../epr-api/src Also it is possible to switch off the *standalone mode* and force the link with the system `EPR API`_ C library:: $ python3 setup.py install --epr-api-src="" Please note that if the ``setup.py`` script is invoked directly, then the user must make sure that setup requirements are propely installed:: $ python3 -m pip install cython numpy .. _pip: https://pypi.org/project/pip .. index:: test, setup.py, download, pytest pair: test; suite pair: sample; product Testing ------- PyEPR_ package comes with a complete test suite. The test suite can be run from the package root directory using pytest_:: $ python3 -m pytest tests or running the :file:`test_all.py` script directly:: $ python3 test_all.py In the second case please make sure that the :mod:`epr` extension module is in the Python search path (see also :envvar:`PYTHONPATH`). The test script automatically downloads and decompresses the ENVISAT sample product necessary for testing, MER_LRC_2PTGMV20000620_104318_00000104X000_00000_00000_0001.N1__, if it is not already available in the :file:`tests` directory. .. note:: please note that, unless the user already have a copy of the specified sample product correctly installed, an **internet connection** is necessary the first time that the test suite is run. After the first run the sample product remains in the :file:`tests` directory so the internet access is no longer necessary. __ https://earth.esa.int/services/sample_products/meris/LRC/L2/MER_LRC_2PTGMV20000620_104318_00000104X000_00000_00000_0001.N1.gz .. index:: EPR-API Python vs C API --------------- The Python_ EPR API is fully object oriented. The main structures of the `C API`_ have been implemented as objects while C function have been logically grouped and mapped onto object methods. The entire process of defining an object oriented API for Python_ has been quite easy and straightforward thanks to the good design of the C API, Of course there are also some differences that are illustrated in the following sections. .. _`C API`: https://rawgit.com/bcdev/epr-api/master/docs/epr_c_api/index.html .. index:: memory, product pair: allocation; de-allocation Memory management ----------------- .. highlight:: python Being Python_ a very high level language uses have never to worry about memory allocation/de-allocation. They simply have to instantiate objects:: product = epr.Product('filename.N1') and use them freely. Objects are automatically destroyed when there are no more references to them and memory is de-allocated automatically. Even better, each object holds a reference to other objects it depends on so the user never have to worry about identifiers validity or about the correct order structures have to be freed. For example: the C `EPR_DatasetId` structure has a field (`product_id`) that points to the *product* descriptor `EPR_productId` to which it belongs to. .. index:: dataset, record The reference to the parent product is used, for example, when one wants to read a record using the `epr_read_record` function: .. code-block:: c EPR_SRecord* epr_read_record(EPR_SDatasetId* dataset_id, ...); The function takes a `EPR_SDatasetId` as a parameter and assumes all fields (including ``dataset->product_id``) are valid. It is responsibility of the programmer to keep all structures valid and free them at the right moment and in the correct order. This is the standard way to go in C but not in Python_. In Python_ all is by far simpler, and the user can get a *dateset* object instance:: dataset = product.get_dataset('MAIN_PROCESSING_PARAMS_ADS') and then forget about the *product* instance it depends on. Even if the *product* variable goes out of :index:`scope` and it is no more directly accessible in the program the *dataset* object keeps staying valid since it holds an internal reference to the *product* instance it depends on. When *record* is destroyed automatically also the parent :class:`epr.Product` object is destroyed (assumed there is no other :index:`reference` to it). The entire machinery is completely automatic and transparent to the user. .. note:: of course when a *product* object is explicitly closed using the :meth:`epr.Product.close` any I/O operation on it and on other objects (bands, datasets, etc) associated to it is no more possible. .. index:: close .. index:: array, numpy, raster Arrays ------ PyEPR_ uses numpy_ in order to manage efficiently the potentially large amount of data contained in ENVISAT_ products. * :meth:`epr.Field.get_elems` return an 1D array containing elements of the field * the `Raster.data` property is a 2D array exposes data contained in the :class:`epr.Raster` object in form of :class:`numpy.ndarray` .. note:: :attr:`epr.Raster.data` directly exposes :class:`epr.Raster` i.e. shares the same memory buffer with :class:`epr.Raster`:: >>> raster.get_pixel(i, j) 5 >>> raster.data[i, j] 5 >>> raster.data[i, j] = 3 >>> raster.get_pixel(i, j) 3 * :meth:`epr.Band.read_as_array` is an additional method provided by the Python_ EPR API (does not exist any correspondent function in the C API). It is mainly a facility method that allows users to get access to band data without creating an intermediate :class:`epr.Raster` object. It read a slice of data from the :class:`epr.Band` and returns it as a 2D :class:`numpy.ndarray`. .. index:: read_as_aaray, data .. index:: enumeration pair: module; constant Enumerators ----------- Python_ does not have *enumerators* at language level (at least this is true for Python_ < 3.4). Enumerations are simply mapped as module constants that have the same name of the C enumerate but are spelled all in capital letters. For example: ============ ============ C Pythn ============ ============ e_tid_double E_TID_DOUBLE e_smod_1OF1 E_SMOD_1OF1 e_smid_log E_SMID_LOG ============ ============ .. index:: logging, error, exception, EPR-API Error handling and logging -------------------------- Currently error handling and logging functions of the EPR C API are not exposed to python. Internal library logging is completely silenced and errors are converted to Python_ exceptions. Where appropriate standard Python_ exception types are use in other cases custom exception types (e.g. :exc:`epr.EPRError`, :exc:`epr.EPRValueError`) are used. .. index:: library, module, APR-API pair: library; initialization Library initialization ---------------------- Differently from the C API library initialization is not needed: it is performed internally the first time the :mod:`epr` module is imported in Python_. .. index:: API pair: high-level; API High level API -------------- PyEPR_ provides some utility method that has no correspondent in the C API: * :meth:`epr.Record.fields` * :meth:`epr.Record.get_field_names` * :meth:`epr.Dataset.records` * :meth:`epr.Product.get_dataset_names` * :meth:`epr.Product.get_band_names` * :meth:`epr.Product.datasets` * :meth:`epr.Product.bands` Example:: for dataset in product.datasets(): for record in dataset.records(): print(record) print() Another example:: if 'proc_data' in product.band_names(): band = product.get_band('proc_data') print(band) .. index:: __str__, __repr__, print_, pair: special; methods Special methods --------------- The Python_ EPR API also implements some `special method`_ in order to make EPR programming even handy and, in short, "pythonic_". The ``__repr__`` methods have been overridden to provide a little more information with respect to the standard implementation. In some cases ``__str__`` method have been overridden to output a verbose string representation of the objects and their contents. If the EPR object has a ``print_`` method (like e.g. :meth:`epr.Record.print_` and :meth:`epr.Field.print_`) then the string representation of the object will have the same format used by the ``print_`` method. So writing:: fd.write(str(record)) giver the same result of:: record.print_(fd) Of course the :meth:`epr.Record.print_` method is more efficient for writing to file. .. index:: __iter__ Also :class:`epr.Dataset` and :class:`epr.Record` classes implement the ``__iter__`` `special method`_ for iterating over records and fields respectively. So it is possible to write code like the following:: for record in dataset: for index, field in enumerate(record): print(index, field) .. index:: __eq__ :class:`epr.DSD` and :class:`epr.Field` classes implement the ``__eq__`` and ``__ne__`` methods for objects comparison:: if filed1 == field2: print('field 1 and field2 are equal') print(field1) else: print('field1:', field1) print('field2:', field2) .. index:: __len__ :class:`epr.Field` object also implement the ``__len__`` special method that returns the number of elements in the field:: if field.get_type() != epr.E_TID_STRING: assert field.get_num_elems() == len(field) else: assert len(field) == len(field.get_elem()) .. note:: differently from the :meth:`epr.Field.get_num_elems` method ``len(field)`` return the number of elements if the field type is not :data:`epr.E_TID_STRING`. If the field contains a string then the string length is returned. .. index:: __enter__, __exit__, context, with pair: context; manager pair: with; statement Finally the :class:`epr.Product` class acts as a `context manager`_ (i.e. it implements the ``__enter__`` and ``__exit__`` methods). This allows the user to write code like the following:: with epr.open('ASA_IMS_ ... _4650.N1') as product: print(product) that ensure that the product is closed as soon as the program exits the ``with`` block. .. index:: update, ENVISAT pair: open; mode Update support -------------- It is not possible to create new ENVISAT_ products for scratch with the EPR API. Indeed EPR means "**E**\ NVISAT **P**\ roduct **R**\ eaeder". Anyway, since version 0.9, PyEPR_ also include basic *update* features. This means that, while it is still not possible to create new :class:`Products`, the user can *update* existing ones changing the contents of any :class:`Field` in any record with the only exception of MPH and SPH :class:`Field`\s. The user can open a product in update mode ('rb+'):: product = epr.open('ASA_IMS_ ... _4650.N1', 'rb+') and update the :class:`epr.Field` element at a specific index:: field.set_elem(new_value, index) or also update all elements ol the :class:`epr.Field` in one shot:: field.set_elems(new_values) .. note:: unfortunately there are some limitations to the update support. Many of the internal structures of the EPR C API are loaded when the :class:`Product` is opened and are not automatically updated when the :meth:`epr.Field.set_elem` and :meth:`epr.Field.set_elems` methods are called. In particular :class:`epr.Band`\ s contents may depend on several :class:`epr.Field` values, e.g. the contents of `Scaling_Factor_GADS` :class:`epr.Dataset`. For this reason the user may need to close and re-open the :class:`epr.Product` in order to have all changes effectively applied. .. seealso:: :doc:`update_example` .. index:: pair: scaling; factor .. _`special method`: https://docs.python.org/3/reference/datamodel.html .. _pythonic: http://www.cafepy.com/article/be_pythonic .. _`context manager`: https://docs.python.org/3/library/stdtypes.html#context-manager-types pyepr-1.1.3/extern/000077500000000000000000000000001414372560000141625ustar00rootroot00000000000000pyepr-1.1.3/extern/epr-api/000077500000000000000000000000001414372560000155175ustar00rootroot00000000000000pyepr-1.1.3/pyproject.toml000066400000000000000000000004031414372560000155660ustar00rootroot00000000000000# See: https://pip.pypa.io/en/stable/reference/pip/#pep-517-and-518-support [build-system] requires = [ "setuptools >= 40.8.0", "wheel", "packaging", "cython >= 0.29.22", "oldest-supported-numpy", ] build-backend = "setuptools.build_meta" pyepr-1.1.3/requirements-dev.txt000066400000000000000000000001001414372560000167040ustar00rootroot00000000000000numpy>=1.7 cython>=0.29.22 sphinx pytest coverage docutils<0.18 pyepr-1.1.3/setup.cfg000066400000000000000000000045141414372560000145020ustar00rootroot00000000000000[metadata] name = pyepr # version=get_version(os.path.join('src', 'epr.pyx')), description = Python ENVISAT Product Reader API long_description = PyEPR provides Python_ bindings for the ENVISAT Product Reader C API (`EPR API`_) for reading satellite data from ENVISAT_ ESA_ (European Space Agency) mission. PyEPR, as well as the `EPR API`_ for C, supports ENVISAT_ MERIS, AATSR Level 1B and Level 2 and also ASAR data products. It provides access to the data either on a geophysical (decoded, ready-to-use pixel samples) or on a raw data layer. The raw data access makes it possible to read any data field contained in a product file. .. _Python: https://www.python.org .. _`EPR API`: https://github.com/bcdev/epr-api .. _ENVISAT: https://envisat.esa.int .. _ESA: https://earth.esa.int long_description_content_type = text/x-rst url = http://avalentino.github.io/pyepr download_url = http://pypi.python.org/pypi/pyepr author = Antonio Valentino author_email = antonio.valentino@tiscali.it license = GPL3 license_file = LICENSE.txt classifiers = Development Status :: 5 - Production/Stable Environment :: Other Environment Intended Audience :: Developers Intended Audience :: Science/Research License :: OSI Approved :: GNU General Public License (GPL) Operating System :: MacOS :: MacOS X Operating System :: Microsoft :: Windows Operating System :: POSIX Programming Language :: Python Programming Language :: Python :: 3 Programming Language :: Python :: 3.5 Programming Language :: Python :: 3.6 Programming Language :: Python :: 3.7 Programming Language :: Python :: 3.8 Programming Language :: Python :: 3.9 Programming Language :: Python :: 3.10 Programming Language :: Python :: Implementation :: CPython Programming Language :: Python :: Implementation :: PyPy Programming Language :: Cython Topic :: Software Development :: Libraries Topic :: Scientific/Engineering Topic :: Scientific/Engineering :: GIS keywords = satellite, reader, envisat platforms = any project_urls = Documentation = http://avalentino.github.io/pyepr/html/index.html Source = https://github.com/avalentino/pyepr Tracker = https://github.com/avalentino/pyepr/issues [options] install_requires = numpy>=1.7 python_requires = >=3.5, <4 zip_safe = False pyepr-1.1.3/setup.py000077500000000000000000000101461414372560000143740ustar00rootroot00000000000000#!/usr/bin/env python3 # Copyright (C) 2011-2021, Antonio Valentino # # This file is part of PyEPR. # # PyEPR is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # PyEPR is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with PyEPR. If not, see . import os import sys import setuptools try: import Cython print('CYTHON_VERSION: {}'.format(Cython.__version__)) del Cython except ImportError: print('CYTHON not installed') def get_version(filename, strip_extra=False): import re from packaging.version import parse as Version with open(filename) as fd: data = fd.read() mobj = re.search( r'''^__version__\s*=\s*(?P['"])(?P.*)(?P=quote)''', data, re.MULTILINE) return Version(mobj.group('version')) # https://mail.python.org/pipermail/distutils-sig/2007-September/008253.html class NumpyExtension(setuptools.Extension): """Extension type that adds the NumPy include directory to include_dirs.""" @property def include_dirs(self): from numpy import get_include return self._include_dirs + [get_include()] @include_dirs.setter def include_dirs(self, include_dirs): self._include_dirs = include_dirs def setup_extension(eprsrcdir=None, coverage=False): import glob if eprsrcdir: print('EPR_API: using EPR C API sources at "{}"'.format(eprsrcdir)) extra_sources = glob.glob('{}/epr_*.c'.format(eprsrcdir)) include_dirs = [eprsrcdir] libraries = [] else: print('EPR_API: using pre-built dynamic library for EPR C API') extra_sources = [] include_dirs = [] libraries = ['epr_api'] define_macros = [('NPY_NO_DEPRECATED_API', 'NPY_1_7_API_VERSION')] if coverage: define_macros.extend([('CYTHON_TRACE_NOGIL', '1')]) ext = NumpyExtension( 'epr', sources=[os.path.join('src', 'epr.pyx')] + extra_sources, include_dirs=include_dirs, libraries=libraries, language='c', define_macros=define_macros, ) # compiler directives language_level = '3str' ext.cython_directives = dict(language_level=language_level) print('CYTHON_LANGUAGE_LEVEL: {}'.format(language_level)) if coverage: ext.cython_directives['linetrace'] = True return ext def make_config(eprsrcdir=None, coverage=False): config = { 'version': str(get_version(os.path.join('src', 'epr.pyx'))), 'ext_modules': [setup_extension(eprsrcdir, coverage)], } return config def get_parser(): PYEPR_COVERAGE_STR = os.environ.get('PYEPR_COVERAGE', '').upper() DEFAULT_COVERAGE = bool( PYEPR_COVERAGE_STR in ('Y', 'YES', 'TRUE', 'OK', 'ON', '1')) DEFAULT_EPRAPI_SRC = 'extern/epr-api/src' if not os.path.exists(DEFAULT_EPRAPI_SRC): DEFAULT_EPRAPI_SRC = '' DEFAULT_EPRAPI_SRC = os.environ.get('PYEPR_EPRAPI_SRC', DEFAULT_EPRAPI_SRC) import argparse parser = argparse.ArgumentParser(add_help=False) parser.add_argument( '--coverage', action='store_true', default=DEFAULT_COVERAGE) parser.add_argument('--epr-api-src', default=DEFAULT_EPRAPI_SRC) return parser if __name__ == '__main__': parser = get_parser() extra_args, setup_argv = parser.parse_known_args(sys.argv) sys.argv[:] = setup_argv print('PYEPR_COVERAGE:', extra_args.coverage) config = make_config(extra_args.epr_api_src, extra_args.coverage) if '-h' in setup_argv or '--help' in setup_argv: msg = parser.format_help() msg = '\n'.join(msg.splitlines()[2:]) # remove usage string print(msg) print() setuptools.setup(**config) pyepr-1.1.3/src/000077500000000000000000000000001414372560000134445ustar00rootroot00000000000000pyepr-1.1.3/src/epr.pxd000066400000000000000000000271411414372560000147540ustar00rootroot00000000000000# -*- coding: utf-8 -*- # PyEPR - Python bindings for ENVISAT Product Reader API # # Copyright (C) 2011-2021, Antonio Valentino # # This file is part of PyEPR. # # PyEPR is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # PyEPR is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with PyEPR. If not, see . from libc.stdio cimport FILE cdef extern from 'epr_api.h' nogil: char* EPR_PRODUCT_API_VERSION_STR ctypedef int epr_boolean ctypedef unsigned char uchar ctypedef unsigned short ushort ctypedef unsigned int uint ctypedef unsigned long ulong ctypedef EPR_Time EPR_STime #ctypedef EPR_FlagDef EPR_SFlagDef ctypedef EPR_PtrArray EPR_SPtrArray ctypedef EPR_FieldInfo EPR_SFieldInfo ctypedef EPR_RecordInfo EPR_SRecordInfo ctypedef EPR_Field EPR_SField ctypedef EPR_Record EPR_SRecord ctypedef EPR_DSD EPR_SDSD ctypedef EPR_Raster EPR_SRaster ctypedef EPR_BandId EPR_SBandId ctypedef EPR_DatasetId EPR_SDatasetId ctypedef EPR_ProductId EPR_SProductId ctypedef EPR_ErrCode EPR_EErrCode ctypedef EPR_LogLevel EPR_ELogLevel ctypedef EPR_SampleModel EPR_ESampleModel ctypedef EPR_ScalingMethod EPR_EScalingMethod ctypedef EPR_DataTypeId EPR_EDataTypeId ctypedef int EPR_Magic int EPR_MAGIC_PRODUCT_ID int EPR_MAGIC_DATASET_ID int EPR_MAGIC_BAND_ID int EPR_MAGIC_RECORD int EPR_MAGIC_FIELD int EPR_MAGIC_RASTER int EPR_MAGIC_FLAG_DEF enum EPR_ErrCode: e_err_none = 0 e_err_null_pointer = 1 e_err_illegal_arg = 2 e_err_illegal_state = 3 e_err_out_of_memory = 4 e_err_index_out_of_range = 5 e_err_illegal_conversion = 6 e_err_illegal_data_type = 7 e_err_file_not_found = 101 e_err_file_access_denied = 102 e_err_file_read_error = 103 e_err_file_write_error = 104 e_err_file_open_failed = 105 e_err_file_close_failed = 106 e_err_api_not_initialized = 201 e_err_invalid_product_id = 203 e_err_invalid_record = 204 e_err_invalid_band = 205 e_err_invalid_raster = 206 e_err_invalid_dataset_name = 207 e_err_invalid_field_name = 208 e_err_invalid_record_name = 209 e_err_invalid_product_name = 210 e_err_invalid_band_name = 211 e_err_invalid_data_format = 212 e_err_invalid_value = 213 e_err_invalid_keyword_name = 214 e_err_unknown_endian_order = 216 e_err_flag_not_found = 301 e_err_invalid_ddbb_format = 402 enum EPR_DataTypeId: e_tid_unknown = 0 e_tid_uchar = 1 e_tid_char = 2 e_tid_ushort = 3 e_tid_short = 4 e_tid_uint = 5 e_tid_int = 6 e_tid_float = 7 e_tid_double = 8 e_tid_string = 11 e_tid_spare = 13 e_tid_time = 21 enum EPR_LogLevel: e_log_debug = -1 e_log_info = 0 e_log_warning = 1 e_log_error = 2 enum EPR_SampleModel: e_smod_1OF1 = 0 e_smod_1OF2 = 1 e_smod_2OF2 = 2 e_smod_3TOI = 3 e_smod_2TOF = 4 enum EPR_ScalingMethod: e_smid_non = 0 e_smid_lin = 1 e_smid_log = 2 struct EPR_Time: int days uint seconds uint microseconds struct EPR_FlagDef: EPR_Magic magic char* name uint bit_mask char* description struct EPR_PtrArray: unsigned int capacity unsigned int length void** elems struct EPR_Field: EPR_Magic magic EPR_FieldInfo* info void* elems struct EPR_Record: EPR_Magic magic EPR_RecordInfo* info uint num_fields EPR_Field** fields struct EPR_DSD: EPR_Magic magic int index char* ds_name char* ds_type char* filename uint ds_offset uint ds_size uint num_dsr uint dsr_size struct EPR_Raster: EPR_Magic magic EPR_DataTypeId data_type uint elem_size uint source_width uint source_height uint source_step_x uint source_step_y uint raster_width uint raster_height void* buffer struct EPR_ProductId: EPR_Magic magic char* file_path FILE* istream uint tot_size uint scene_width uint scene_height char* id_string EPR_Record* mph_record EPR_Record* sph_record EPR_PtrArray* dsd_array EPR_PtrArray* record_info_cache EPR_PtrArray* param_table EPR_PtrArray* dataset_ids EPR_PtrArray* band_ids int meris_iodd_version struct EPR_DatasetId: EPR_Magic magic EPR_ProductId* product_id char* dsd_name EPR_DSD* dsd char* dataset_name #struct RecordDescriptor* record_descriptor EPR_SRecordInfo* record_info char* description struct EPR_DatasetRef: EPR_DatasetId* dataset_id int field_index # -1 if not used int elem_index # -1 if not used struct EPR_BandId: EPR_Magic magic EPR_ProductId* product_id char* band_name int spectr_band_index EPR_DatasetRef dataset_ref EPR_SampleModel sample_model EPR_DataTypeId data_type EPR_ScalingMethod scaling_method float scaling_offset float scaling_factor char* bm_expr EPR_SPtrArray* flag_coding char* unit char* description epr_boolean lines_mirrored # @TODO: improve logging and error management (--> custom handlers) # logging and error handling function pointers ctypedef void (*EPR_FLogHandler)(EPR_ELogLevel, char*) ctypedef void (*EPR_FErrHandler)(EPR_EErrCode, char*) # logging int epr_set_log_level(EPR_ELogLevel) void epr_set_log_handler(EPR_FLogHandler) void epr_log_message(EPR_ELogLevel, char*) # error handling void epr_set_err_handler(EPR_FErrHandler) EPR_EErrCode epr_get_last_err_code() const char* epr_get_last_err_message() void epr_clear_err() # API initialization/finalization int epr_init_api(EPR_ELogLevel, EPR_FLogHandler, EPR_FErrHandler) void epr_close_api() # DATATYPE uint epr_get_data_type_size(EPR_EDataTypeId) const char* epr_data_type_id_to_str(EPR_EDataTypeId) # open products EPR_SProductId* epr_open_product(char*) # PRODUCT int epr_close_product(EPR_SProductId*) uint epr_get_scene_width(EPR_SProductId*) uint epr_get_scene_height(EPR_SProductId*) uint epr_get_num_datasets(EPR_SProductId*) EPR_SDatasetId* epr_get_dataset_id_at(EPR_SProductId*, uint) EPR_SDatasetId* epr_get_dataset_id(EPR_SProductId*, char*) uint epr_get_num_dsds(EPR_SProductId*) EPR_SDSD* epr_get_dsd_at(EPR_SProductId*, uint) EPR_SRecord* epr_get_mph(EPR_SProductId*) EPR_SRecord* epr_get_sph(EPR_SProductId*) uint epr_get_num_bands(EPR_SProductId*) EPR_SBandId* epr_get_band_id_at(EPR_SProductId*, uint) EPR_SBandId* epr_get_band_id(EPR_SProductId*, char*) int epr_read_bitmask_raster(EPR_SProductId*, char*, int, int, EPR_SRaster*) # DATASET const char* epr_get_dataset_name(EPR_SDatasetId*) const char* epr_get_dsd_name(EPR_SDatasetId*) uint epr_get_num_records(EPR_SDatasetId*) EPR_SDSD* epr_get_dsd(EPR_SDatasetId*) EPR_SRecord* epr_create_record(EPR_SDatasetId*) EPR_SRecord* epr_read_record(EPR_SDatasetId*, uint, EPR_SRecord*) # RECORD void epr_free_record(EPR_SRecord*) uint epr_get_num_fields(EPR_SRecord*) void epr_print_record(EPR_SRecord*, FILE*) void epr_print_element(EPR_SRecord*, uint, uint, FILE*) void epr_dump_record(EPR_SRecord*) void epr_dump_element(EPR_SRecord*, uint, uint) EPR_SField* epr_get_field(EPR_SRecord*, char*) EPR_SField* epr_get_field_at(EPR_SRecord*, uint) # FIELD void epr_print_field(EPR_SField*, FILE*) void epr_dump_field(EPR_SField*) const char* epr_get_field_unit(EPR_SField*) const char* epr_get_field_description(EPR_SField*) uint epr_get_field_num_elems(EPR_SField*) const char* epr_get_field_name(EPR_SField*) EPR_EDataTypeId epr_get_field_type(EPR_SField*) char epr_get_field_elem_as_char(EPR_SField*, uint) uchar epr_get_field_elem_as_uchar(EPR_SField*, uint) short epr_get_field_elem_as_short(EPR_SField*, uint) ushort epr_get_field_elem_as_ushort(EPR_SField*, uint) int epr_get_field_elem_as_int(EPR_SField*, uint) uint epr_get_field_elem_as_uint(EPR_SField*, uint) float epr_get_field_elem_as_float(EPR_SField*, uint) double epr_get_field_elem_as_double(EPR_SField*, uint) const char* epr_get_field_elem_as_str(EPR_SField*) EPR_STime* epr_get_field_elem_as_mjd(EPR_SField*) const char* epr_get_field_elems_char(EPR_SField*) uchar* epr_get_field_elems_uchar(EPR_SField*) short* epr_get_field_elems_short(EPR_SField*) ushort* epr_get_field_elems_ushort(EPR_SField*) int* epr_get_field_elems_int(EPR_SField*) uint* epr_get_field_elems_uint(EPR_SField*) float* epr_get_field_elems_float(EPR_SField*) double* epr_get_field_elems_double(EPR_SField*) uint epr_copy_field_elems_as_ints(EPR_SField*, int*, uint) uint epr_copy_field_elems_as_uints(EPR_SField*, uint*, uint) uint epr_copy_field_elems_as_floats(EPR_SField*, float*, uint) uint epr_copy_field_elems_as_doubles(EPR_SField*, double*, uint) # BAND const char* epr_get_band_name(EPR_SBandId*) EPR_SRaster* epr_create_compatible_raster(EPR_SBandId*, uint, uint, uint, uint) int epr_read_band_raster(EPR_SBandId*, int, int, EPR_SRaster*) # RASTER void epr_free_raster(EPR_SRaster*) uint epr_get_raster_width(EPR_SRaster*) uint epr_get_raster_height(EPR_SRaster*) uint epr_get_raster_elem_size(EPR_SRaster*) uint epr_get_pixel_as_uint(EPR_SRaster*, int, int) int epr_get_pixel_as_int(EPR_SRaster*, int, int) float epr_get_pixel_as_float(EPR_SRaster*, int, int) double epr_get_pixel_as_double(EPR_SRaster*, int, int) void* epr_get_raster_elem_addr(EPR_SRaster*, uint) void* epr_get_raster_pixel_addr(EPR_SRaster*, uint, uint) void* epr_get_raster_line_addr(EPR_SRaster*, uint) EPR_SRaster* epr_create_raster(EPR_EDataTypeId, uint, uint, uint, uint) EPR_SRaster* epr_create_bitmask_raster(uint, uint, uint, uint) # @IMPORTANT: # # the following structures are not part of the public API. # It is not ensured that relative header files are available at build time # (e.g. debian does not install them), so structures are relìplicated here. # It is fundamental to ensure that structures defined here are kept totally # in sync with the one defined in EPR C API. # epr_field.h ctypedef struct EPR_FieldInfo: char* name EPR_EDataTypeId data_type_id uint num_elems char* unit char* description uint tot_size # epr_record.h ctypedef struct EPR_RecordInfo: char* dataset_name EPR_SPtrArray* field_infos uint tot_size pyepr-1.1.3/src/epr.pyx000066400000000000000000002512131414372560000150000ustar00rootroot00000000000000# -*- coding: utf-8 -*- # PyEPR - Python bindings for ENVISAT Product Reader API # # Copyright (C) 2011-2021, Antonio Valentino # # This file is part of PyEPR. # # PyEPR is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # PyEPR is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with PyEPR. If not, see . """Python bindings for ENVISAT Product Reader C API. PyEPR_ provides Python_ bindings for the ENVISAT Product Reader C API (`EPR API`_) for reading satellite data from ENVISAT_ ESA_ (European Space Agency) mission. PyEPR_ is fully object oriented and, as well as the `EPR API`_ for C, supports ENVISAT_ MERIS, AATSR Level 1B and Level 2 and also ASAR data products. It provides access to the data either on a geophysical (decoded, ready-to-use pixel samples) or on a raw data layer. The raw data access makes it possible to read any data field contained in a product file. .. _PyEPR: https://avalentino.github.io/pyepr .. _Python: https://www.python.org .. _`EPR API`: https://github.com/bcdev/epr-api .. _ENVISAT: http://envisat.esa.int .. _ESA: http://earth.esa.int """ __version__ = '1.1.3' from libc cimport errno from libc cimport stdio from libc.stdio cimport FILE from libc cimport string as cstring IF UNAME_SYSNAME == 'Windows': cdef extern from "stdio.h" nogil: int fileno "_fileno" (FILE*) ELSE: # posix cdef extern from "stdio.h" nogil: int fileno(FILE*) from epr cimport * from cpython.object cimport PyObject_AsFileDescriptor from cpython.weakref cimport PyWeakref_NewRef cimport numpy as np np.import_array() import os import sys import atexit import warnings # COMPATIBILITY from collections import namedtuple import numpy as np cdef bint SWAP_BYTES = (sys.byteorder == 'little') # internal utils _DEFAULT_FS_ENCODING = sys.getfilesystemencoding() cdef inline bytes _to_bytes(str s, encoding='UTF-8'): return s.encode(encoding) cdef inline str _to_str(bytes b, encoding='UTF-8'): return b.decode(encoding) # utils EPRTime = namedtuple('EPRTime', ('days', 'seconds', 'microseconds')) MJD = np.dtype([ ('days', 'i%d' % sizeof(int)), ('seconds', 'u%d' % sizeof(uint)), ('microseconds', 'u%d' % sizeof(uint)), ]) EPR_C_API_VERSION = _to_str(EPR_PRODUCT_API_VERSION_STR, 'ascii') # EPR_DataTypeId E_TID_UNKNOWN = e_tid_unknown E_TID_UCHAR = e_tid_uchar E_TID_CHAR = e_tid_char E_TID_USHORT = e_tid_ushort E_TID_SHORT = e_tid_short E_TID_UINT = e_tid_uint E_TID_INT = e_tid_int E_TID_FLOAT = e_tid_float E_TID_DOUBLE = e_tid_double E_TID_STRING = e_tid_string E_TID_SPARE = e_tid_spare E_TID_TIME = e_tid_time # EPR_SampleModel E_SMOD_1OF1 = e_smod_1OF1 E_SMOD_1OF2 = e_smod_1OF2 E_SMOD_2OF2 = e_smod_2OF2 E_SMOD_3TOI = e_smod_3TOI E_SMOD_2TOF = e_smod_2TOF # EPR_ScalingMethod E_SMID_NON = e_smid_non E_SMID_LIN = e_smid_lin E_SMID_LOG = e_smid_log # EPR magic IDs _EPR_MAGIC_PRODUCT_ID = EPR_MAGIC_PRODUCT_ID _EPR_MAGIC_DATASET_ID = EPR_MAGIC_DATASET_ID _EPR_MAGIC_BAND_ID = EPR_MAGIC_BAND_ID _EPR_MAGIC_RECORD = EPR_MAGIC_RECORD _EPR_MAGIC_FIELD = EPR_MAGIC_FIELD _EPR_MAGIC_RASTER = EPR_MAGIC_RASTER _EPR_MAGIC_FLAG_DEF = EPR_MAGIC_FLAG_DEF cdef np.NPY_TYPES _epr_to_numpy_type_id(EPR_DataTypeId epr_type): if epr_type == e_tid_uchar: return np.NPY_UBYTE if epr_type == e_tid_char: return np.NPY_BYTE if epr_type == e_tid_ushort: return np.NPY_USHORT if epr_type == e_tid_short: return np.NPY_SHORT if epr_type == e_tid_uint: return np.NPY_UINT if epr_type == e_tid_int: return np.NPY_INT if epr_type == e_tid_float: return np.NPY_FLOAT if epr_type == e_tid_double: return np.NPY_DOUBLE if epr_type == e_tid_string: return np.NPY_STRING return np.NPY_NOTYPE _DTYPE_MAP = { E_TID_UCHAR: np.uint8, E_TID_CHAR: np.int8, E_TID_USHORT: np.uint16, E_TID_SHORT: np.int16, E_TID_UINT: np.uint32, E_TID_INT: np.int32, E_TID_FLOAT: np.float32, E_TID_DOUBLE: np.float64, E_TID_STRING: np.bytes_, E_TID_TIME: MJD, E_TID_SPARE: None, E_TID_UNKNOWN: None, } _METHOD_MAP = { E_SMID_NON: 'NONE', E_SMID_LIN: 'LIN', E_SMID_LOG: 'LOG', } _MODEL_MAP = { E_SMOD_1OF1: '1OF1', E_SMOD_1OF2: '1OF2', E_SMOD_2OF2: '2OF2', E_SMOD_3TOI: '3TOI', E_SMOD_2TOF: '2TOF', } ctypedef fused T: np.uint8_t np.int8_t np.uint16_t np.int16_t np.uint32_t np.int32_t np.float32_t np.float64_t np.npy_byte cdef const void* _view_to_ptr(T[:] a): return &a[0] cdef const void* _to_ptr(np.ndarray a, EPR_DataTypeId etype): cdef const void *p = NULL if etype == e_tid_uchar: p = _view_to_ptr[np.uint8_t](a) elif etype == e_tid_char: p = _view_to_ptr[np.int8_t](a) elif etype == e_tid_ushort: p = _view_to_ptr[np.uint16_t](a) elif etype == e_tid_short: p = _view_to_ptr[np.int16_t](a) elif etype == e_tid_uint: p = _view_to_ptr[np.uint32_t](a) elif etype == e_tid_int: p = _view_to_ptr[np.int32_t](a) elif etype == e_tid_float: p = _view_to_ptr[np.float32_t](a) elif etype == e_tid_double: p = _view_to_ptr[np.float64_t](a) elif etype == e_tid_string: p = _view_to_ptr[np.npy_byte](a) else: raise ValueError('unexpected type ID: %d' % etype) return p class EPRError(Exception): """EPR API error.""" def __init__(self, message='', code=None, *args, **kargs): """__init__(self, message='', code=None, *args, **kargs)""" super(EPRError, self).__init__(message, code, *args, **kargs) #: EPR API error code self.code = code class EPRValueError(EPRError, ValueError): pass cdef pyepr_check_errors(): cdef int code cdef str msg code = epr_get_last_err_code() if code != e_err_none: msg = _to_str(epr_get_last_err_message(), 'ascii') epr_clear_err() # @TODO: if not msg: msg = EPR_ERR_MSG[code] if (e_err_invalid_product_id <= code <= e_err_invalid_keyword_name or code in (e_err_null_pointer, e_err_illegal_arg, e_err_index_out_of_range)): raise EPRValueError(msg, code) else: raise EPRError(msg, code) cdef pyepr_null_ptr_error(str msg='null pointer'): cdef int code cdef str eprmsg = _to_str(epr_get_last_err_message(), 'ascii') code = epr_get_last_err_code() epr_clear_err() raise EPRValueError('%s: %s' % (msg, eprmsg), code=code if code else None) # https://stackoverflow.com/questions/1603916/close-a-file-pointer-without-closing-the-underlying-file-descriptor cdef FILE* pyepr_get_file_stream(object ostream) except NULL: # The returned stream can be safely closed cdef FILE* fstream = NULL cdef int fileno = -1 if ostream is None: ostream = sys.stdout try: ostream.flush() except AttributeError as exc: raise TypeError(str(exc)) else: fileno = PyObject_AsFileDescriptor(ostream) if fileno == -1: raise TypeError('bad output stream') else: fileno = os.dup(fileno) if fileno == -1: raise TypeError('bad output stream') else: fstream = stdio.fdopen(fileno, 'a+') if fstream is NULL: errno.errno = 0 raise TypeError('invalid ostream') return fstream cdef class _CLib: """Library object to handle C API initialization/finalization. .. warning:: this is meant for internal use only. **Do not use it**. """ def __cinit__(self, *args, **kwargs): cdef bytes msg # @TODO: check # if EPR_C_API_VERSION != '2.2': # raise ImportError( # 'C library version not supported: "%s"' % EPR_C_API_VERSION) # if epr_init_api(e_log_warning, epr_log_message, NULL): if epr_init_api(e_log_warning, NULL, NULL): msg = epr_get_last_err_message() epr_clear_err() raise ImportError('unable to inizialize EPR API library: ' '%s' % _to_str(msg, 'ascii')) def __dealloc__(self): epr_close_api() def __init__(self): raise TypeError('"%s" class cannot be instantiated from Python' % self.__class__.__name__) # global _CLib instance cdef _CLib _EPR_C_LIB = None cdef class EprObject: cdef object epr_c_lib def __cinit__(self, *ars, **kargs): self.epr_c_lib = _EPR_C_LIB def __dealloc__(self): self.epr_c_lib = None def __init__(self): raise TypeError('"%s" class cannot be instantiated from Python' % self.__class__.__name__) cpdef get_numpy_dtype(EPR_EDataTypeId type_id): """get_numpy_dtype(epr_type) Return the numpy datatype specified EPR type ID. """ try: return _DTYPE_MAP[type_id] except KeyError: raise ValueError('invalid EPR type ID: %d' % type_id) cpdef uint get_data_type_size(EPR_EDataTypeId type_id): """get_data_type_size(type_id) Gets the size in bytes for an element of the given data type. """ return epr_get_data_type_size(type_id) cpdef str data_type_id_to_str(EPR_EDataTypeId type_id): """data_type_id_to_str(type_id) Gets the 'C' data type string for the given data type. """ cdef char* type_id_str = epr_data_type_id_to_str(type_id) return _to_str(type_id_str, 'ascii') cpdef str get_scaling_method_name(EPR_ScalingMethod method): """get_scaling_method_name(method) Return the name of the specified scaling method. """ try: return _METHOD_MAP[method] except KeyError: raise ValueError('invalid scaling method: "%s"' % method) cpdef str get_sample_model_name(EPR_SampleModel model): """get_sample_model_name(model) Return the name of the specified sample model. """ try: return _MODEL_MAP[model] except KeyError: raise ValueError('invalid sample model: "%s"' % model) cdef class DSD(EprObject): """Dataset descriptor. The DSD class contains information about the properties of a dataset and its location within an ENVISAT product file. """ cdef EPR_SDSD* _ptr cdef object _parent # Dataset or Product cdef inline check_closed_product(self): if isinstance(self, Dataset): (self._parent).check_closed_product() else: # elif isinstance(self, Product): (self._parent).check_closed_product() property index: """The index of this DSD (zero-based).""" def __get__(self): self.check_closed_product() return self._ptr.index property ds_name: """The dataset name.""" def __get__(self): self.check_closed_product() return _to_str(self._ptr.ds_name, 'ascii') property ds_type: """The dataset type descriptor.""" def __get__(self): self.check_closed_product() return _to_str(self._ptr.ds_type, 'ascii') property filename: """The filename in the DDDB with the description of this dataset.""" def __get__(self): self.check_closed_product() return _to_str(self._ptr.filename, 'ascii') property ds_offset: """The offset of dataset-information the product file.""" def __get__(self): self.check_closed_product() return self._ptr.ds_offset property ds_size: """The size of dataset-information in dataset product file.""" def __get__(self): self.check_closed_product() return self._ptr.ds_size property num_dsr: """The number of dataset records for the given dataset name.""" def __get__(self): self.check_closed_product() return self._ptr.num_dsr property dsr_size: """The size of dataset record for the given dataset name.""" def __get__(self): self.check_closed_product() return self._ptr.dsr_size # --- high level interface ------------------------------------------------ def __repr__(self): return 'epr.DSD("%s")' % self.ds_name def __eq__(self, other): cdef EPR_SDSD* p1 = NULL cdef EPR_SDSD* p2 = NULL if isinstance(other, self.__class__): p1 = (self)._ptr p2 = (other)._ptr if p1 == p2: return True (self).check_closed_product() return ((p1.index == p2.index) and (p1.ds_offset == p2.ds_offset) and (p1.ds_size == p2.ds_size) and (p1.num_dsr == p2.num_dsr) and (p1.dsr_size == p2.dsr_size)and (cstring.strcmp(p1.ds_name, p2.ds_name) == 0) and (cstring.strcmp(p1.ds_type, p2.ds_type) == 0) and (cstring.strcmp(p1.filename, p2.filename) == 0)) return NotImplemented # --- low level interface ------------------------------------------------- property _magic: """The magic number for internal C structure.""" def __get__(self): self.check_closed_product() return self._ptr.magic cdef new_dsd(EPR_SDSD* ptr, EprObject parent=None): if ptr is NULL: pyepr_null_ptr_error() cdef DSD instance = DSD.__new__(DSD) instance._ptr = ptr instance._parent = parent # Dataset or Product return instance cdef class Field(EprObject): """Represents a field within a record. A field is composed of one or more data elements of one of the types defined in the internal ``field_info`` structure. .. seealso:: :class:`Record` """ cdef EPR_SField* _ptr cdef Record _parent cdef inline check_closed_product(self): self._parent.check_closed_product() cdef inline _check_write_mode(self): self._parent._check_write_mode() cdef long _get_offset(self, bint absolute=0) except -1: cdef bint found = 0 cdef int i = 0 cdef int num_fields_in_record = 0 cdef long offset = 0 cdef const char* name = NULL cdef const EPR_Field* field = NULL cdef const EPR_FieldInfo* info = NULL cdef const EPR_Record* record = NULL info = self._ptr.info name = info.name record = self._parent._ptr num_fields_in_record = epr_get_num_fields(record) for i in range(num_fields_in_record): field = epr_get_field_at(record, i) info = field.info if info.name == name: found = 1 break offset += info.tot_size if not found: raise EPRError('inable to compute field offset') elif absolute: offset += self._parent._get_offset(absolute) return offset def print(self, ostream=None): """print(self, ostream=None) Write the field to specified file (default: :data:`sys.stdout`). This method writes formatted contents of the field to specified *ostream* text file or (default) the ASCII output is be printed to standard output (:data:`sys.stdout`). :param ostream: the (opened) output file object .. note:: the *ostream* parameter have to be a *real* file not a generic stream object like :class:`StringIO.StringIO` instances """ cdef FILE* fstream = NULL self.check_closed_product() fstream = pyepr_get_file_stream(ostream) with nogil: epr_print_field(self._ptr, fstream) stdio.fflush(fstream) stdio.fclose(fstream) pyepr_check_errors() def print_(self, ostream=None): # COMPATIBILITY warnings.warn( 'the "print_" method is deprecated, please use "print" instead', DeprecationWarning) return self.print(ostream=ostream) # def dump_field(self): # epr_dump_field(self._ptr) # pyepr_check_errors() def get_unit(self): """get_unit(self) Gets the unit of the field. """ cdef const char* unit = NULL self.check_closed_product() unit = epr_get_field_unit(self._ptr) if unit is NULL: return '' else: return _to_str(unit, 'ascii') def get_description(self): """get_description(self) Gets the description of the field. """ cdef char* description = NULL self.check_closed_product() description = epr_get_field_description(self._ptr) return _to_str(description, 'ascii') def get_num_elems(self): """get_num_elems(self) Gets the number of elements of the field. """ self.check_closed_product() return epr_get_field_num_elems(self._ptr) def get_name(self): """get_name(self) Gets the name of the field. """ cdef char* name = NULL self.check_closed_product() name = epr_get_field_name(self._ptr) return _to_str(name, 'ascii') def get_type(self): """get_type(self) Gets the type of the field. """ self.check_closed_product() return epr_get_field_type(self._ptr) def get_elem(self, uint index=0): """get_elem(self, index=0) Field single element access. This function is for getting the elements of a field. :param index: the zero-based index of element to be returned, must not be negative :returns: the typed value from given field """ cdef EPR_STime* eprtime self.check_closed_product() etype = epr_get_field_type(self._ptr) if etype == e_tid_uchar: val = epr_get_field_elem_as_uchar(self._ptr, index) elif etype == e_tid_char: val = epr_get_field_elem_as_char(self._ptr, index) elif etype == e_tid_ushort: val = epr_get_field_elem_as_ushort(self._ptr, index) elif etype == e_tid_short: val = epr_get_field_elem_as_short(self._ptr, index) elif etype == e_tid_uint: val = epr_get_field_elem_as_uint(self._ptr, index) elif etype == e_tid_int: val = epr_get_field_elem_as_int(self._ptr, index) elif etype == e_tid_float: val = epr_get_field_elem_as_float(self._ptr, index) elif etype == e_tid_double: val = epr_get_field_elem_as_double(self._ptr, index) elif etype == e_tid_string: if index != 0: raise ValueError('invalid index: %d' % index) val = epr_get_field_elem_as_str(self._ptr) # elif etype == e_tid_spare: # val = epr_get_field_elem_as_str(self._ptr) elif etype == e_tid_time: if index != 0: raise ValueError('invalid index: %d' % index) # use casting to silence warnings eprtime = epr_get_field_elem_as_mjd(self._ptr) val = EPRTime(eprtime.days, eprtime.seconds, eprtime.microseconds) else: raise ValueError('invalid field type') pyepr_check_errors() return val def get_elems(self): """get_elems(self) Field array element access. This function is for getting an array of field elements of the field. :returns: the data array (:class:`numpy.ndarray`) having the type of the field """ cdef void* buf = NULL cdef int nd = 1 cdef np.npy_intp shape[1] cdef np.ndarray out cdef EPR_Time* t = NULL cdef np.NPY_TYPES dtype self.check_closed_product() shape[0] = epr_get_field_num_elems(self._ptr) etype = epr_get_field_type(self._ptr) msg = 'Filed("%s") elems pointer is null' % self.get_name() if etype == e_tid_time: if shape[0] != 1: raise ValueError( 'unexpected number of elements: %d' % shape[0]) t = epr_get_field_elem_as_mjd(self._ptr) if t is NULL: pyepr_null_ptr_error(msg) out = np.ndarray(1, MJD) out[0]['days'] = t.days out[0]['seconds'] = t.seconds out[0]['microseconds'] = t.microseconds return out if etype == e_tid_uchar: dtype = np.NPY_UBYTE buf = epr_get_field_elems_uchar(self._ptr) if buf is NULL: pyepr_null_ptr_error(msg) elif etype == e_tid_char: dtype = np.NPY_BYTE buf = epr_get_field_elems_char(self._ptr) if buf is NULL: pyepr_null_ptr_error(msg) elif etype == e_tid_ushort: dtype = np.NPY_USHORT buf = epr_get_field_elems_ushort(self._ptr) if buf is NULL: pyepr_null_ptr_error(msg) elif etype == e_tid_short: dtype = np.NPY_SHORT buf = epr_get_field_elems_short(self._ptr) if buf is NULL: pyepr_null_ptr_error(msg) elif etype == e_tid_uint: dtype = np.NPY_UINT buf = epr_get_field_elems_uint(self._ptr) if buf is NULL: pyepr_null_ptr_error(msg) elif etype == e_tid_int: dtype = np.NPY_INT buf = epr_get_field_elems_int(self._ptr) if buf is NULL: pyepr_null_ptr_error(msg) elif etype == e_tid_float: dtype = np.NPY_FLOAT buf = epr_get_field_elems_float(self._ptr) if buf is NULL: pyepr_null_ptr_error(msg) elif etype == e_tid_double: dtype = np.NPY_DOUBLE buf = epr_get_field_elems_double(self._ptr) if buf is NULL: pyepr_null_ptr_error(msg) elif etype == e_tid_string: if shape[0] != 1: raise ValueError( 'unexpected number of elements: %d' % shape[0]) nd = 0 dtype = np.NPY_STRING buf = epr_get_field_elem_as_str(self._ptr) if buf is NULL: pyepr_null_ptr_error(msg) # elif etype == e_tid_unknown: # pass # elif etype = e_tid_spare: # pass else: raise ValueError('invalid field type') out = np.PyArray_SimpleNewFromData(nd, shape, dtype, buf) # np.PyArray_CLEARFLAG(out, NPY_ARRAY_WRITEABLE) # new in numpy 1.7 # Make the ndarray keep a reference to this object np.set_array_base(out, self) return out cdef _set_elems(self, np.ndarray elems, uint index=0): cdef Record record cdef Dataset dataset cdef Product product cdef FILE* istream cdef size_t ret cdef size_t nelems cdef size_t elemsize cdef size_t datasize cdef long file_offset cdef long field_offset cdef char* buf cdef EPR_DataTypeId etype = epr_get_field_type(self._ptr) cdef const void* p = NULL dtype = _DTYPE_MAP[etype] elems = np.ascontiguousarray(elems, dtype=dtype) record = self._parent dataset = record._parent product = dataset._parent istream = product._ptr.istream nelems = elems.size elemsize = epr_get_data_type_size(etype) datasize = elemsize * nelems field_offset = index * elemsize file_offset = self._get_offset(absolute=1) buf = self._ptr.elems + field_offset p = _to_ptr(elems, etype) with nogil: cstring.memcpy(buf, p, datasize) if SWAP_BYTES: elems = elems.byteswap() p = _to_ptr(elems, etype) with nogil: stdio.fseek(istream, file_offset + field_offset, stdio.SEEK_SET) ret = stdio.fwrite(p, elemsize, nelems, product._ptr.istream) if ret != nelems: raise IOError( 'write error: %d of %d bytes written' % (ret, datasize)) def set_elem(self, elem, uint index=0): """set_elem(self, elem, index=0) Set Field array element. This function is for setting an array of field element of the field. :param elem: value of the element to set :param index: the zero-based index of element to be set, must not be negative. Default: 0. """ self.check_closed_product() self._check_write_mode() if self._parent.index is None: raise NotImplementedError( 'setting elements is not implemented on MPH/SPH records') elem = np.asarray(elem) if elem.size != 1: raise ValueError( 'invalid shape "%s", scalar value expected' % elem.shape) self._set_elems(elem, index) def set_elems(self, elems): """set_elems(self, elems) Set Field array elements. This function is for setting an array of field elements of the field. :param elems: np.ndarray of elements to set """ cdef uint nelems self.check_closed_product() self._check_write_mode() if self._parent._index is None: raise NotImplementedError( 'setting elements is not implemented on MPH/SPH records') elems = np.ascontiguousarray(elems) nelems = epr_get_field_num_elems(self._ptr) if elems.ndim > 1 or elems.size != nelems: raise ValueError('invalid shape "%s", "(%s,)" value expected' % ( elems.shape, nelems)) self._set_elems(elems) property tot_size: """The total size in bytes of all data elements of a field. *tot_size* is a derived variable, it is computed at runtime and not stored in the DSD-DB. """ def __get__(self): cdef EPR_FieldInfo* info = self._ptr.info return info.tot_size # --- high level interface ------------------------------------------------ def __repr__(self): return 'epr.Field("%s") %d %s elements' % (self.get_name(), self.get_num_elems(), data_type_id_to_str(self.get_type())) def __str__(self): cdef object name = self.get_name() cdef EPR_DataTypeId type_ = self.get_type() cdef int num_elems = 0 if type_ == e_tid_string: return '%s = "%s"' % (name, self.get_elem().decode('utf-8')) elif type_ == e_tid_time: days, seconds, microseconds = self.get_elem() return '%s = {d=%d, j=%d, m=%d}' % (name, days, seconds, microseconds) else: num_elems = epr_get_field_num_elems(self._ptr) if type_ == e_tid_uchar: fmt = '%u' elif type_ == e_tid_char: fmt = '%d' elif type_ == e_tid_ushort: fmt = '%u' elif type_ == e_tid_short: fmt = '%d' elif type_ == e_tid_uint: fmt = '%u' elif type_ == e_tid_int: fmt = '%d' elif type_ == e_tid_float: fmt = '%f' elif type_ == e_tid_double: fmt = '%f' else: if num_elems > 1: data = ['<>'] * num_elems data = ', '.join(data) return '%s = {%s}' % (name, data) else: return '%s = <>' % name if num_elems > 1: data = ', '.join([fmt % item for item in self.get_elems()]) return '%s = {%s}' % (name, data) else: return '%s = %s' % (name, fmt % self.get_elem()) def __eq__(self, other): cdef size_t n = 0 cdef EPR_SField* p1 = NULL cdef EPR_SField* p2 = NULL if isinstance(other, self.__class__): p1 = (self)._ptr p2 = (other)._ptr if p1 == p2: return True (self).check_closed_product() if ((epr_get_field_num_elems(p1) != epr_get_field_num_elems(p2)) or (epr_get_field_type(p1) != epr_get_field_type(p2)) or (cstring.strcmp(epr_get_field_unit(p1), epr_get_field_unit(p2)) != 0) or (cstring.strcmp(epr_get_field_description(p1), epr_get_field_description(p2)) != 0) or (cstring.strcmp(epr_get_field_name(p1), epr_get_field_name(p2)) != 0)): return False n = epr_get_data_type_size(epr_get_field_type(p1)) if n != 0: n *= epr_get_field_num_elems(p1) # pyepr_check_errors() if n <= 0: # @TODO: check return True return (cstring.memcmp(p1.elems, p2.elems, n) == 0) return NotImplemented def __len__(self): self.check_closed_product() if epr_get_field_type(self._ptr) == e_tid_string: return cstring.strlen(epr_get_field_elem_as_str(self._ptr)) else: return epr_get_field_num_elems(self._ptr) # --- low level interface ------------------------------------------------- property _magic: """The magic number for internal C structure.""" def __get__(self): self.check_closed_product() return self._ptr.magic def get_offset(self): """Field offset in bytes within the Record.""" self.check_closed_product() return self._get_offset() cdef new_field(EPR_SField* ptr, Record parent=None): if ptr is NULL: pyepr_null_ptr_error() cdef Field instance = Field.__new__(Field) instance._ptr = ptr instance._parent = parent return instance cdef class Record(EprObject): """Represents a record read from an ENVISAT dataset. A record is composed of multiple fields. .. seealso:: :class:`Field` """ cdef EPR_SRecord* _ptr cdef object _parent # Dataset or Product cdef bint _dealloc cdef int _index def __dealloc__(self): if not self._dealloc: return if self._ptr is not NULL: epr_free_record(self._ptr) pyepr_check_errors() cdef inline check_closed_product(self): if isinstance(self._parent, Dataset): (self._parent).check_closed_product() else: # elif isinstance(self._parent, Product): (self._parent).check_closed_product() cdef inline _check_write_mode(self): if isinstance(self._parent, Dataset): (self._parent)._check_write_mode() else: # elif isinstance(self._parent, Product): (self._parent)._check_write_mode() cdef inline uint _get_offset(self, bint absolure=0): cdef EPR_RecordInfo* info = self._ptr.info cdef uint offset = self._index * info.tot_size # assert self._index is not None if absolure: offset += (self._parent)._get_offset() return offset def get_num_fields(self): """get_num_fields(self) Gets the number of fields contained in the record. """ return epr_get_num_fields(self._ptr) def print(self, ostream=None): """print(self, ostream=None) Write the record to specified file. This method writes formatted contents of the record to specified *ostream* text file or (default) the ASCII output is be printed to standard output (:data:`sys.stdout`). :param ostream: the (opened) output file object .. note:: the *ostream* parameter have to be a *real* file not a generic stream object like :class:`StringIO.StringIO` instances """ cdef FILE* fstream = NULL self.check_closed_product() fstream = pyepr_get_file_stream(ostream) with nogil: epr_print_record(self._ptr, fstream) stdio.fflush(fstream) stdio.fclose(fstream) pyepr_check_errors() def print_(self, ostream=None): # COMPATIBILITY warnings.warn( 'the "print_" method is deprecated, please use "print" instead', DeprecationWarning) return self.print(ostream=ostream) def print_element(self, uint field_index, uint element_index, ostream=None): """print_element(self, field_index, element_index, ostream=None) Write the specified field element to file. This method writes formatted contents of the specified field element to the *ostream* text file or (default) the ASCII output will be printed to standard output (:data:`sys.stdout`). :param field_index: the index of field in the record :param element_index: the index of element in the specified field :param ostream: the (opened) output file object .. note:: the *ostream* parameter have to be a *real* file not a generic stream object like :class:`StringIO.StringIO` instances. """ cdef FILE* fstream = NULL self.check_closed_product() fstream = pyepr_get_file_stream(ostream) with nogil: epr_print_element(self._ptr, field_index, element_index, fstream) stdio.fflush(fstream) stdio.fclose(fstream) pyepr_check_errors() def get_field(self, str name): """get_field(self, name) Gets a field specified by name. The field is here identified through the given name. It contains the field info and all corresponding values. :param name: the the name of required field :returns: the specified :class:`Field` or raises an exception (:exc:`EPRValueError`) if an error occurred """ cdef EPR_SField* field_ptr cdef bytes cname = _to_bytes(name) self.check_closed_product() field_ptr = epr_get_field(self._ptr, cname) if field_ptr is NULL: pyepr_null_ptr_error('unable to get field "%s"' % name) return new_field(field_ptr, self) def get_field_at(self, uint index): """get_field_at(self, index) Gets a field at the specified position within the record. :param index: the zero-based index (position within record) of the field :returns: the field or raises and exception (:exc:`EPRValueError`) if an error occurred """ cdef EPR_SField* field_ptr self.check_closed_product() field_ptr = epr_get_field_at(self._ptr, index) if field_ptr is NULL: pyepr_null_ptr_error('unable to get field at index %d' % index) return new_field(field_ptr, self) property dataset_name: """The name of the dataset to which this record belongs to.""" def __get__(self): self.check_closed_product() cdef EPR_RecordInfo* info = self._ptr.info if info.dataset_name == NULL: return '' else: return _to_str(info.dataset_name) property tot_size: """The total size in bytes of the record. It includes all data elements of all fields of a record in a product file. *tot_size* is a derived variable, it is computed at runtime and not stored in the DSD-DB. """ def __get__(self): self.check_closed_product() cdef EPR_RecordInfo* info = self._ptr.info return info.tot_size property index: """Index of the record within the dataset. It is *None* for empty records (created with :meth:`Dataset.create_record` but still not read) and for *MPH* (see :meth:`epr.Product.get_mph`) and *SPH* (see :meth:`epr.Product.get_sph`) records. .. seealso:: :meth:`epr.Dataset.read_record` """ def __get__(self): return self._index if self._index >= 0 else None # --- high level interface ------------------------------------------------ def get_field_names(self): """get_field_names(self) Return the list of names of the fields in the product. .. note:: this method has no correspondent in the C API. """ cdef EPR_SField* field_ptr cdef int idx cdef char* name cdef int num_fields self.check_closed_product() num_fields = epr_get_num_fields(self._ptr) names = [] for idx in range(num_fields): field_ptr = epr_get_field_at(self._ptr, idx) name = epr_get_field_name(field_ptr) names.append(_to_str(name, 'ascii')) return names def fields(self): """fields(self) Return the list of fields contained in the record. """ return list(self) def __iter__(self): cdef int idx cdef int num_fields self.check_closed_product() num_fields = epr_get_num_fields(self._ptr) return (self.get_field_at(idx) for idx in range(num_fields)) def __str__(self): self.check_closed_product() return '\n'.join(map(str, self)) def __repr__(self): self.check_closed_product() return '%s %d fields' % (super(Record, self).__repr__(), self.get_num_fields()) # --- low level interface ------------------------------------------------- property _magic: """The magic number for internal C structure.""" def __get__(self): self.check_closed_product() return self._ptr.magic def get_offset(self): """Record offset in bytes within the Dataset.""" if self._index >= 0: self.check_closed_product() return self._get_offset() else: return None cdef new_record(EPR_SRecord* ptr, EprObject parent=None, bint dealloc=False): if ptr is NULL: pyepr_null_ptr_error() cdef Record instance = Record.__new__(Record) instance._ptr = ptr instance._parent = parent # Dataset or Product instance._dealloc = dealloc instance._index = -1 return instance cdef class Raster(EprObject): """Represents a raster in which data will be stored. All 'size' parameter are in PIXEL. """ cdef EPR_SRaster* _ptr cdef Band _parent cdef object _data def __dealloc__(self): if self._ptr is not NULL: epr_free_raster(self._ptr) property data_type: """The data type of the band's pixels. All ``E_TID_*`` types are possible. """ def __get__(self): return self._ptr.data_type property source_width: """The width of the source.""" def __get__(self): return self._ptr.source_width property source_height: """The height of the source.""" def __get__(self): return self._ptr.source_height property source_step_x: """The sub-sampling for the across-track direction in pixel.""" def __get__(self): return self._ptr.source_step_x property source_step_y: """The sub-sampling for the along-track direction in pixel.""" def __get__(self): return self._ptr.source_step_y def get_width(self): """get_width(self) Gets the raster's width in pixels. """ return epr_get_raster_width(self._ptr) def get_height(self): """get_height(self) Gets the raster's height in pixels. """ return epr_get_raster_height(self._ptr) def get_elem_size(self): """get_elem_size(self) The size in byte of a single element (sample) of this raster's buffer. """ return epr_get_raster_elem_size(self._ptr) def get_pixel(self, int x, int y): """get_pixel(x, y) Single pixel access. This function is for getting the values of the elements of a raster (i.e. pixel). :param x: the (zero-based) X coordinate of the pixel :param y: the (zero-based) Y coordinate of the pixel :returns: the typed value at the given co-ordinate """ if (x < 0 or x >= self._ptr.raster_width or y < 0 or y >= self._ptr.raster_height): raise ValueError('index out of range: x=%d, y=%d' % (x, y)) cdef EPR_EDataTypeId dtype = self._ptr.data_type if dtype == e_tid_uint: val = epr_get_pixel_as_uint(self._ptr, x, y) elif dtype == e_tid_int: val = epr_get_pixel_as_int(self._ptr, x, y) elif dtype == e_tid_float: val = epr_get_pixel_as_float(self._ptr, x, y) elif dtype == e_tid_double: val = epr_get_pixel_as_double(self._ptr, x, y) else: raise ValueError('invalid data type: "%s"' % epr_data_type_id_to_str(dtype)) pyepr_check_errors() # @TODO: check return val # --- high level interface ------------------------------------------------ cdef np.ndarray toarray(self): cdef np.NPY_TYPES dtype = _epr_to_numpy_type_id(self._ptr.data_type) cdef np.npy_intp shape[2] cdef np.ndarray result if dtype == np.NPY_NOTYPE: raise TypeError('invalid data type') else: shape[0] = self._ptr.raster_height shape[1] = self._ptr.raster_width result = np.PyArray_SimpleNewFromData(2, shape, dtype, self._ptr.buffer) # Make the ndarray keep a reference to this object np.set_array_base(result, self) return result property data: """Raster data exposed as :class:`numpy.ndarray` object. .. note:: this property shares the data buffer with the :class:`Raster` object so any change in its contents is also reflected to the :class:`Raster` object. """ def __get__(self): cdef object data if self._data is not None: data = self._data() if data is not None: return data if self._ptr.buffer is NULL: return np.ndarray(()) data = self.toarray() self._data = PyWeakref_NewRef(data, None) return data def __repr__(self): return '%s %s (%dL x %dP)' % (super(Raster, self).__repr__(), data_type_id_to_str(self.data_type), self.get_height(), self.get_width()) # --- low level interface ------------------------------------------------- property _magic: """The magic number for internal C structure.""" def __get__(self): return self._ptr.magic cdef new_raster(EPR_SRaster* ptr, Band parent=None): if ptr is NULL: pyepr_null_ptr_error() cdef Raster instance = Raster.__new__(Raster) instance._ptr = ptr instance._parent = parent # Band or None instance._data = None return instance def create_raster(EPR_EDataTypeId data_type, uint src_width, uint src_height, uint xstep=1, uint ystep=1): """create_raster(data_type, src_width, src_height, xstep=1, ystep=1) Creates a raster of the specified data type. This function can be used to create any type of raster, e.g. for later use as a bit-mask. :param data_type: the type of the data to stored in the raster, must be one of E_TID_* :param src_width: the width (across track dimension) of the source to be read into the raster. See description of :meth:`Band.create_compatible_raster` :param src_height: the height (along track dimension) of the source to be read into the raster. See description of :meth:`Band.create_compatible_raster` :param xstep: the sub-sampling step across track of the source when reading into the raster :param ystep: the sub-sampling step along track of the source when reading into the raster :returns: the new :class:`Raster` instance .. seealso:: description of :meth:`Band.create_compatible_raster` """ if xstep == 0 or ystep == 0: raise ValueError('invalid step: xspet=%d, ystep=%d' % (xstep, ystep)) cdef EPR_SRaster* raster_ptr raster_ptr = epr_create_raster(data_type, src_width, src_height, xstep, ystep) if raster_ptr is NULL: pyepr_null_ptr_error('unable to create a new raster') return new_raster(raster_ptr) def create_bitmask_raster(uint src_width, uint src_height, uint xstep=1, uint ystep=1): """create_bitmask_raster(src_width, src_height, xstep=1, ystep=1) Creates a raster to be used for reading bitmasks. The raster returned always is of type ``byte``. :param src_width: the width (across track dimension) of the source to be read into the raster :param src_height: the height (along track dimension) of the source to be read into the raster :param xstep: the sub-sampling step across track of the source when reading into the raster :param ystep: the sub-sampling step along track of the source when reading into the raster :returns: the new raster instance or raises an exception (:exc:`EPRValueError`) if an error occurred .. seealso:: the description of :meth:`Band.create_compatible_raster` """ if xstep == 0 or ystep == 0: raise ValueError('invalid step: xspet=%d, ystep=%d' % (xstep, ystep)) cdef EPR_SRaster* raster_ptr raster_ptr = epr_create_bitmask_raster(src_width, src_height, xstep, ystep) if raster_ptr is NULL: pyepr_null_ptr_error('unable to create a new raster') return new_raster(raster_ptr) cdef class Band(EprObject): """The band of an ENVISAT product. The Band class contains information about a band within an ENVISAT product file which has been opened with the :func:`open` function. A new Band instance can be obtained with the :meth:`Product.get_band` method. """ cdef EPR_SBandId* _ptr cdef Product _parent cdef inline int check_closed_product(self) except -1: if self._ptr is NULL: raise ValueError('I/O operation on closed file') elif self._parent.check_closed_product() == -1: self._ptr = NULL raise return 0 property product: """The :class:`Product` instance to which this band belongs to.""" def __get__(self): return self._parent property spectr_band_index: """The (zero-based) spectral band index. -1 if this is not a spectral band. """ def __get__(self): self.check_closed_product() return self._ptr.spectr_band_index property sample_model: """The sample model operation. The sample model operation applied to the source dataset for getting the correct samples from the MDS (for example MERIS L2). Possible values are: * ``*`` --> no operation (direct copy) * ``1OF2`` --> first byte of 2-byte interleaved MDS * ``2OF2`` --> second byte of 2-byte interleaved MDS * ``0123`` --> combine 3-bytes interleaved to 4-byte integer """ def __get__(self): self.check_closed_product() return self._ptr.sample_model property data_type: """The data type of the band's pixels. Possible values are: * ``*`` --> the datatype remains unchanged. * ``uint8_t`` --> 8-bit unsigned integer * ``uint32_t`` --> 32-bit unsigned integer * ``Float`` --> 32-bit IEEE floating point """ def __get__(self): self.check_closed_product() return self._ptr.data_type property scaling_method: """Scaling method. The scaling method which must be applied to the raw source data in order to get the 'real' pixel values in geo-physical units. Possible values are: * ``*`` --> no scaling applied * ``Linear_Scale`` --> linear scaling applied:: y = offset + scale * x * ``Log_Scale`` --> logarithmic scaling applied:: y = log10(offset + scale * x) """ def __get__(self): self.check_closed_product() return self._ptr.scaling_method property scaling_offset: """The scaling offset. Possible values are: * ``*`` --> no offset provided (implies scaling_method=*) * ``const`` --> a floating point constant * ``GADS.field[.field2]` --> value is provided in global annotation dataset with name ``GADS`` in field ``field``. Optionally a second element index for multiple-element fields can be given too """ def __get__(self): self.check_closed_product() return self._ptr.scaling_offset property scaling_factor: """The scaling factor. Possible values are: * ``*`` --> no factor provided (implies scaling_method=*) * ``const`` --> a floating point constant * ``GADS.field[.field2]`` --> value is provided in global annotation dataset with name `GADS` in field `field``. Optionally a second element index for multiple-element fields can be given too """ def __get__(self): self.check_closed_product() return self._ptr.scaling_factor property bm_expr: """A bit-mask expression used to filter valid pixels. All others are set to zero. """ def __get__(self): self.check_closed_product() if self._ptr.bm_expr is NULL: return None else: return _to_str(self._ptr.bm_expr, 'ascii') property unit: """The geophysical unit for the band's pixel values.""" def __get__(self): self.check_closed_product() if self._ptr.unit is NULL: return None else: return _to_str(self._ptr.unit, 'ascii') property description: """A short description of the band's contents.""" def __get__(self): self.check_closed_product() if self._ptr.description is NULL: return None else: return _to_str(self._ptr.description, 'ascii') property lines_mirrored: """Mirrored lines flag. If true (=1) lines will be mirrored (flipped) after read into a raster in order to ensure a pixel ordering in raster X direction from WEST to EAST. """ def __get__(self): self.check_closed_product() return self._ptr.lines_mirrored property dataset: """The source dataset. The source dataset containing the raw data used to create the band's pixel values. """ def __get__(self): self.check_closed_product() cdef EPR_SDatasetId* dataset_id = self._ptr.dataset_ref.dataset_id cdef const char* cname = epr_get_dataset_name(dataset_id) cdef str name = _to_str(cname) return self.product.get_dataset(name) def get_name(self): """get_name(self) Gets the name of the band. """ cdef char* name = NULL self.check_closed_product() name = epr_get_band_name(self._ptr) return _to_str(name, 'ascii') def create_compatible_raster(self, uint src_width=0, uint src_height=0, uint xstep=1, uint ystep=1): """create_compatible_raster(self, src_width, src_height, xstep=1, ystep=1) Creates a raster which is compatible with the data type of the band. The created raster is used to read the data in it (see :meth:`Band.read_raster`). The raster is defined on the grid of the product, from which the data are read. Spatial subsets and under-sampling are possible) through the parameter of the method. A raster is an object that allows direct access to data of a certain portion of the ENVISAT product that are read into the it. Such a portion is called the source. The complete ENVISAT product can be much greater than the source. One can move the raster over the complete ENVISAT product and read in turn different parts (always of the size of the source) of it into the raster. The source is specified by the parameters *height* and *width*. A typical example is a processing in blocks. Lets say, a block has 64x32 pixel. Then, my source has a width of 64 pixel and a height of 32 pixel. Another example is a processing of complete image lines. Then, my source has a widths of the complete product (for example 1121 for a MERIS RR product), and a height of 1). One can loop over all blocks read into the raster and process it. In addition, it is possible to defined a sub-sampling step for a raster. This means, that the source is not read 1:1 into the raster, but that only every 2nd or 3rd pixel is read. This step can be set differently for the across track (source_step_x) and along track (source_step_y) directions. :param src_width: the width (across track dimension) of the source to be read into the raster (default: scene_width) :param src_height: the height (along track dimension) of the source to be read into the raster (default: scene_height) :param xstep: the sub-sampling step across track of the source when reading into the raster (default=1) :param ystep: the sub-sampling step along track of the source when reading into the raster (default=1) :returns: the new raster instance or raises an exception (:exc:`EPRValueError`) if an error occurred .. note:: src_width and src_height are the dimantion of the of the source area. If one specifies a *step* parameter the resulting raster will have a size that is smaller that the specifies source size:: raster_size = src_size // step """ cdef EPR_SRaster* raster_ptr = NULL cdef uint scene_width cdef uint scene_height self.check_closed_product() scene_width = epr_get_scene_width(self._parent._ptr) scene_height = epr_get_scene_height(self._parent._ptr) if src_width == 0: src_width = scene_width elif src_width > scene_width: raise ValueError( 'requeted raster width (%d) is too large for the Band ' '(scene_width=%d)' % (src_width, scene_width)) if src_height == 0: src_height = scene_height elif src_height > scene_height: raise ValueError( 'requeted raster height (%d) is too large for the Band ' '(scene_height=%d)' % (src_height, scene_height)) if xstep > src_width: raise ValueError('xstep (%d) too large for the requested width ' '(%d)' % (xstep, src_width)) if ystep > src_height: raise ValueError('ystep (%d) too large for the requested height ' '(%d)' % (ystep, src_height)) raster_ptr = epr_create_compatible_raster(self._ptr, src_width, src_height, xstep, ystep) if raster_ptr is NULL: pyepr_null_ptr_error('unable to create compatible raster with ' 'width=%d, height=%d xstep=%d, ystep=%d' % (src_width, src_height, xstep, ystep)) return new_raster(raster_ptr, self) cpdef read_raster(self, int xoffset=0, int yoffset=0, Raster raster=None): """read_raster(self, xoffset=0, yoffset=0, Raster raster=None) Reads (geo-)physical values of the band of the specified source-region. The source-region is a defined part of the whole ENVISAT product image, which shall be read into a raster. In this routine the co-ordinates are specified, where the source-region to be read starts. The dimension of the region and the sub-sampling are attributes of the raster into which the data are read. :param xoffset: across-track source co-ordinate in pixel co-ordinates (zero-based) of the upper right corner of the source-region :param yoffset: along-track source co-ordinate in pixel co-ordinates (zero-based) of the upper right corner of the source-region :param raster: :class:`Raster` instance set with appropriate parameters to read into. If not provided a new :class:`Raster` is instantiated :returns: the :class:`Raster` instance in which data are read This method raises an instance of the appropriate :exc:`EPRError` sub-class if case of errors .. seealso:: :meth:`Band.create_compatible_raster` and :func:`create_raster` """ cdef int ret cdef uint scene_width cdef uint scene_height self.check_closed_product() if raster is None: raster = self.create_compatible_raster() scene_width = epr_get_scene_width(self._parent._ptr) scene_height = epr_get_scene_height(self._parent._ptr) if (xoffset + raster._ptr.source_width > scene_width or yoffset + raster._ptr.source_height > scene_height): raise ValueError( 'at lease part of the requested area is outside the scene') raster._data = None with nogil: ret = epr_read_band_raster(self._ptr, xoffset, yoffset, raster._ptr) if ret != 0: pyepr_check_errors() return raster # --- high level interface ------------------------------------------------ def read_as_array(self, width=None, height=None, uint xoffset=0, uint yoffset=0, uint xstep=1, uint ystep=1): """read_as_array(self, width=None, height=None, xoffset=0, yoffset=0, xstep=1, ystep=1): Reads the specified source region as an :class:`numpy.ndarray`. The source-region is a defined part of the whole ENVISAT product image, which shall be read into a raster. In this routine the co-ordinates are specified, where the source-region to be read starts. The dimension of the region and the sub-sampling are attributes of the raster into which the data are read. :param src_width: the width (across track dimension) of the source to be read into the raster. If not provided reads as much as possible :param src_height: the height (along track dimension) of the source to be read into the raster. If not provided reads as much as possible :param xoffset: across-track source co-ordinate in pixel co-ordinates (zero-based) of the upper right corner of the source-region :param yoffset: along-track source co-ordinate in pixel co-ordinates (zero-based) of the upper right corner of the source-region :param xstep: the sub-sampling step across track of the source when reading into the raster :param ystep: the sub-sampling step along track of the source when reading into the raster :returns: the :class:`numpy.ndarray` instance in which data are read This method raises an instance of the appropriate :exc:`EPRError` sub-class if case of errors .. seealso:: :meth:`Band.create_compatible_raster`, :func:`create_raster` and :meth:`Band.read_raster` """ cdef uint w cdef uint h cdef EPR_ProductId* product_id self.check_closed_product() product_id = self._parent._ptr if width is None: w = epr_get_scene_width(product_id) if w > xoffset: width = w - xoffset else: raise ValueError('xoffset os larger that he scene width') if height is None: h = epr_get_scene_height(product_id) if h > yoffset: height = h - yoffset else: raise ValueError('yoffset os larger that he scene height') raster = self.create_compatible_raster(width, height, xstep, ystep) self.read_raster(xoffset, yoffset, raster) return raster.data def __repr__(self): return 'epr.Band(%s) of epr.Product(%s)' % (self.get_name(), self.product.id_string) # --- low level interface ------------------------------------------------- property _magic: """The magic number for internal C structure.""" def __get__(self): self.check_closed_product() return self._ptr.magic property _field_index: """Index or the field (within the dataset) containing the raw data used to create the band's pixel values. It is set to -1 if not used. """ def __get__(self): self.check_closed_product() return self._ptr.dataset_ref.field_index property _elem_index: """Index or the element (within the dataset field) containing the raw data used to create the band's pixel values. It is set to -1 if not used. """ def __get__(self): self.check_closed_product() return self._ptr.dataset_ref.elem_index cdef new_band(EPR_SBandId* ptr, Product parent=None): if ptr is NULL: pyepr_null_ptr_error() cdef Band instance = Band.__new__(Band) instance._ptr = ptr instance._parent = parent return instance cdef class Dataset(EprObject): """ENVISAT dataset. The Dataset class contains information about a dataset within an ENVISAT product file which has been opened with the :func:`open` function. A new Dataset instance can be obtained with the :meth:`Product.get_dataset` or :meth:`Product.get_dataset_at` methods. """ cdef EPR_SDatasetId* _ptr cdef Product _parent cdef inline check_closed_product(self): self._parent.check_closed_product() cdef inline _check_write_mode(self): self._parent._check_write_mode() cdef inline uint _get_offset(self): cdef const EPR_SDSD* dsd = epr_get_dsd(self._ptr) return dsd.ds_offset property product: """The :class:`Product` instance to which this dataset belongs to.""" def __get__(self): return self._parent property description: """A short description of the band's contents.""" def __get__(self): if self._ptr is not NULL: self.check_closed_product() if self._ptr.description is not NULL: return _to_str(self._ptr.description, 'ascii') return '' def get_name(self): """get_name(self) Gets the name of the dataset. """ cdef char* name if self._ptr is not NULL: self.check_closed_product() name = epr_get_dataset_name(self._ptr) return _to_str(name, 'ascii') return '' def get_dsd_name(self): """get_dsd_name(self) Gets the name of the DSD (dataset descriptor). """ cdef char* name if self._ptr is not NULL: self.check_closed_product() name = epr_get_dsd_name(self._ptr) return _to_str(name, 'ascii') return '' def get_num_records(self): """get_num_records(self) Gets the number of records of the dataset. """ if self._ptr is not NULL: self.check_closed_product() return epr_get_num_records(self._ptr) return 0 def get_dsd(self): """get_dsd(self) Gets the dataset descriptor (DSD). """ self.check_closed_product() return new_dsd(epr_get_dsd(self._ptr), self) def create_record(self): """create_record(self) Creates a new record. Creates a new, empty record with a structure compatible with the dataset. Such a record is typically used in subsequent calls to :meth:`Dataset.read_record`. :returns: the new record instance """ self.check_closed_product() return new_record(epr_create_record(self._ptr), self, True) def read_record(self, uint index=0, Record record=None): """read_record(self, index, record=None) Reads specified record of the dataset. The record is identified through the given zero-based record index. In order to reduce memory reallocation, a record (pre-)created by the method :meth:`Dataset.create_record` can be passed to this method. Data is then read into this given record. If no record (``None``) is given, the method initiates a new one. In both cases, the record in which the data is read into will be returned. :param index: the zero-based record index (default: 0) :param record: a pre-created record to reduce memory reallocation, can be ``None`` (default) to let the function allocate a new record :returns: the record in which the data has been read into or raises an exception (:exc:`EPRValueError`) if an error occurred .. versionchanged:: 0.9 The *index* parameter now defaults to zero """ cdef EPR_SRecord* record_ptr = NULL self.check_closed_product() if record: record_ptr = (record)._ptr with nogil: record_ptr = epr_read_record(self._ptr, index, record_ptr) if record_ptr is NULL: pyepr_null_ptr_error('unable to read record at index %d' % index) if not record: record = new_record(record_ptr, self, True) record._index = index return record # --- high level interface ------------------------------------------------ def records(self): """records(self) Return the list of records contained in the dataset. """ return list(self) def __iter__(self): cdef int idx self.check_closed_product() return (self.read_record(idx) for idx in range(epr_get_num_records(self._ptr))) def __str__(self): lines = [repr(self), ''] lines.extend(map(str, self)) return '\n'.join(lines) def __repr__(self): return 'epr.Dataset(%s) %d records' % (self.get_name(), self.get_num_records()) # --- low level interface ------------------------------------------------- property _magic: """The magic number for internal C structure.""" def __get__(self): self.check_closed_product() return self._ptr.magic cdef new_dataset(EPR_SDatasetId* ptr, Product parent=None): if ptr is NULL: pyepr_null_ptr_error() cdef Dataset instance = Dataset.__new__(Dataset) instance._ptr = ptr instance._parent = parent return instance cdef class Product(EprObject): """ENVISAT product. The Product class provides methods and properties to get information about an ENVISAT product file. .. seealso:: :func:`open` """ cdef EPR_SProductId* _ptr cdef str _mode def __cinit__(self, filename, str mode='rb'): pfilename = os.fspath(filename) cdef bytes bfilename cdef char* cfilename if hasattr(pfilename, 'encode'): bfilename = _to_bytes(pfilename, _DEFAULT_FS_ENCODING) cfilename = bfilename else: cfilename = pfilename cdef bytes bmode cdef char* cmode cdef int ret if mode not in ('rb', 'rb+', 'r+b'): raise ValueError('invalid open mode: "%s"' % mode) self._mode = mode with nogil: self._ptr = epr_open_product(cfilename) if self._ptr is NULL: # try to get error info from the lib pyepr_check_errors() raise ValueError('unable to open "%s"' % filename) if '+' in mode: # reopen in 'rb+ mode bmode = _to_bytes(mode) cmode = bmode with nogil: self._ptr.istream = stdio.freopen(cfilename, cmode, self._ptr.istream) if self._ptr.istream is NULL: errno.errno = 0 raise ValueError( 'unable to open file "%s" in "%s" mode' % (filename, mode)) def __dealloc__(self): if self._ptr is not NULL: if '+' in self._mode: stdio.fflush(self._ptr.istream) epr_close_product(self._ptr) pyepr_check_errors() self._ptr = NULL cdef inline int check_closed_product(self) except -1: if self._ptr is NULL: raise ValueError('I/O operation on closed file') return 0 cdef inline _check_write_mode(self): if '+' not in self._mode: raise TypeError('write operation on read-only file') def __init__(self, filename, mode='rb'): # @NOTE: this method suppresses the default behavior of EprObject # that is raising an exception when it is instantiated by # the user. pass def close(self): """close(self) Closes the ENVISAT :class:`epr.Product` product. Closes the :class:`epr.Product` product and free the underlying file descriptor. This method has no effect if the :class:`Product` is already closed. Once the :class:`Product` is closed, any operation on it will raise a ValueError. As a convenience, it is allowed to call this method more than once; only the first call, however, will have an effect. """ if self._ptr is not NULL: # if '+' in self.mode: # stdio.fflush(self._ptr.istream) epr_close_product(self._ptr) pyepr_check_errors() self._ptr = NULL def flush(self): """Flush the file stream.""" cdef int ret if '+' in self.mode: ret = stdio.fflush(self._ptr.istream) if ret != 0: errno.errno = 0 raise IOError('flush error') property file_path: """The file's path including the file name.""" def __get__(self): self.check_closed_product() if self._ptr.file_path is NULL: return None else: return _to_str(self._ptr.file_path, 'ascii') property _fileno: """The fileno of the :class:`epr.Product` input stream. To be used with care. .. important:: on MacOS-X the position of the file descriptor shall be reset to the original one after its use. """ def __get__(self): if self._ptr.istream is NULL: return None else: return fileno(self._ptr.istream) property mode: def __get__(self): """String that specifies the mode in which the file is opened. Possible values: 'rb' for read-only mode, 'rb+' for read-write mode. """ return self._mode property tot_size: """The total size in bytes of the product file.""" def __get__(self): self.check_closed_product() return self._ptr.tot_size property id_string: """The product identifier string obtained from the MPH parameter 'PRODUCT'. The first 10 characters of this string identify the product type, e.g. "MER_1P__FR" for a MERIS Level 1b full resolution product. The rest of the string decodes product instance properties. """ def __get__(self): self.check_closed_product() if self._ptr.id_string is NULL: return None else: return _to_str(self._ptr.id_string, 'ascii') property meris_iodd_version: """For MERIS L1b and RR and FR to provide backward compatibility.""" def __get__(self): self.check_closed_product() return self._ptr.meris_iodd_version def get_scene_width(self): """get_scene_width(self) Gets the product's scene width in pixels. """ self.check_closed_product() return epr_get_scene_width(self._ptr) def get_scene_height(self): """get_scene_height(self) Gets the product's scene height in pixels. """ self.check_closed_product() return epr_get_scene_height(self._ptr) def get_num_datasets(self): """get_num_datasets(self) Gets the number of all datasets contained in a product. """ self.check_closed_product() return epr_get_num_datasets(self._ptr) def get_num_dsds(self): """get_num_dsds(self) Gets the number of all :class:`DSD`\ s. Gets the number of all :class:`DSD`\ s (dataset descriptors) contained in the product. """ self.check_closed_product() return epr_get_num_dsds(self._ptr) def get_num_bands(self): """get_num_bands(self) Gets the number of all bands contained in a product. """ self.check_closed_product() return epr_get_num_bands(self._ptr) def get_dataset_at(self, uint index): """get_dataset_at(self, index) Gets the dataset at the specified position within the product. :param index: the index identifying the position of the dataset, starting with 0, must not be negative :returns: the requested :class:`Dataset` """ cdef EPR_SDatasetId* dataset_id dataset_id = epr_get_dataset_id_at(self._ptr, index) if dataset_id is NULL: pyepr_null_ptr_error('unable to get dataset at index %d' % index) return new_dataset(dataset_id, self) def get_dataset(self, str name): """get_dataset(self, name) Gets the dataset corresponding to the specified dataset name. :param name: the dataset name :returns: the requested :class:`Dataset` instance """ cdef EPR_SDatasetId* dataset_id cdef bytes cname = _to_bytes(name) dataset_id = epr_get_dataset_id(self._ptr, cname) if dataset_id is NULL: pyepr_null_ptr_error(r'unable to get dataset "%s"' % name) return new_dataset(dataset_id, self) def get_dsd_at(self, uint index): """get_dsd_at(self, index) Gets the :class:`DSD` at the specified position. Gets the :class:`DSD` (dataset descriptor) at the specified position within the product. :param index: the index identifying the position of the :class:`DSD`, starting with 0, must not be negative :returns: the requested :class:`DSD` instance """ cdef EPR_SDSD* dsd_ptr self.check_closed_product() dsd_ptr = epr_get_dsd_at(self._ptr, index) if dsd_ptr is NULL: pyepr_null_ptr_error('unable to get DSD at index "%d"' % index) return new_dsd(dsd_ptr, self) def get_mph(self): """get_mph(self) The main product header (MPH) :class:`Record`. """ cdef EPR_SRecord* record_ptr record_ptr = epr_get_mph(self._ptr) if record_ptr is NULL: pyepr_null_ptr_error('unable to get MPH record') return new_record(record_ptr, self, False) def get_sph(self): """get_sph(self) The specific product header (SPH) :class:`Record`. """ cdef EPR_SRecord* record_ptr record_ptr = epr_get_sph(self._ptr) if record_ptr is NULL: pyepr_null_ptr_error('unable to get SPH record') return new_record(record_ptr, self, False) def get_band(self, str name): """get_band(self, name) Gets the band corresponding to the specified name. :param name: the name of the band :returns: the requested :class:`Band` instance, or raises a :exc:`EPRValueError` if not found """ cdef EPR_SBandId* band_id cdef bytes cname = _to_bytes(name) band_id = epr_get_band_id(self._ptr, cname) if band_id is NULL: pyepr_null_ptr_error('unable to get band "%s"' % name) return new_band(band_id, self) def get_band_at(self, uint index): """get_band_at(self, index) Gets the band at the specified position within the product. :param index: the index identifying the position of the band, starting with 0, must not be negative :returns: the requested :class:`Band` instance, or raises a :exc:`EPRValueError` if not found """ cdef EPR_SBandId* band_id band_id = epr_get_band_id_at(self._ptr, index) if band_id is NULL: pyepr_null_ptr_error('unable to get band at index "%d"' % index) return new_band(band_id, self) def read_bitmask_raster(self, str bm_expr, int xoffset, int yoffset, Raster raster not None): """read_bitmask_raster(self, bm_expr, xoffset, yoffset, raster) Calculates a bit-mask raster. Calculates a bit-mask, composed of flags of the given product and combined as described in the given bit-mask expression, for the a certain dimension and sub-sampling as defined in the given raster. :param bm_expr: a string holding the logical expression for the definition of the bit-mask. In a bit-mask expression, any number of the flag-names (found in the DDDB) can be composed with "(", ")", "NOT", "AND", "OR". Valid bit-mask expression are for example ``flags.LAND OR flags.CLOUD`` or ``NOT flags.WATER AND flags.TURBID_S`` :param xoffset: across-track co-ordinate in pixel co-ordinates (zero-based) of the upper right corner of the source-region :param yoffset: along-track co-ordinate in pixel co-ordinates (zero-based) of the upper right corner of the source-region :param raster: the raster for the bit-mask. The data type of the raster must be either e_tid_uchar or e_tid_char :returns: zero for success, an error code otherwise .. seealso:: :func:`epr.create_bitmask_raster` """ cdef bytes c_bm_expr = _to_bytes(bm_expr) cdef int ret = 0 self.check_closed_product() ret = epr_read_bitmask_raster(self._ptr, c_bm_expr, xoffset, yoffset, (raster)._ptr) if ret != 0: pyepr_check_errors() return raster # --- high level interface ------------------------------------------------ property closed: '''True if the :class:`epr.Product` is closed.''' def __get__(self): return self._ptr is NULL def get_dataset_names(self): """get_dataset_names(self) Return the list of names of the datasets in the product. .. note:: this method has no correspondent in the C API """ cdef EPR_SDatasetId* dataset_ptr cdef int idx cdef char* name cdef int num_datasets self.check_closed_product() num_datasets = epr_get_num_datasets(self._ptr) names = [] for idx in range(num_datasets): dataset_ptr = epr_get_dataset_id_at(self._ptr, idx) name = epr_get_dataset_name(dataset_ptr) names.append(_to_str(name, 'ascii')) return names def get_band_names(self): """get_band_names(self) Return the list of names of the bands in the product. .. note:: this method has no correspondent in the C API """ cdef EPR_SBandId* band_ptr cdef int idx cdef char* name cdef int num_bands self.check_closed_product() num_bands = epr_get_num_bands(self._ptr) names = [] for idx in range(num_bands): band_ptr = epr_get_band_id_at(self._ptr, idx) name = epr_get_band_name(band_ptr) names.append(_to_str(name, 'ascii')) return names def datasets(self): """datasets(self) Return the list of dataset in the product. """ cdef int idx cdef int num_datasets self.check_closed_product() num_datasets = epr_get_num_datasets(self._ptr) return [self.get_dataset_at(idx) for idx in range(num_datasets)] def bands(self): """bands(self) Return the list of bands in the product. """ cdef int num_bands self.check_closed_product() num_bands = epr_get_num_bands(self._ptr) return [self.get_band_at(idx) for idx in range(num_bands)] # @TODO: iter on both datasets and bands (??) # def __iter__(self): # return itertools.chain((self.datasets(), self.bands())) def __repr__(self): return 'epr.Product(%s) %d datasets, %d bands' % (self.id_string, self.get_num_datasets(), self.get_num_bands()) def __str__(self): lines = [repr(self), ''] lines.extend(map(repr, self.datasets())) lines.append('') lines.extend(map(repr, self.bands())) return '\n'.join(lines) def __enter__(self): return self def __exit__(self, *exc_info): self.close() # --- low level interface ------------------------------------------------- property _magic: """The magic number for internal C structure.""" def __get__(self): self.check_closed_product() return self._ptr.magic def open(filename, str mode='rb'): """open(filename) Open the ENVISAT product. Opens the ENVISAT product file with the given file path, reads MPH, SPH and all DSDs, organized the table with parameter of line length and tie points number. :param product_file_path: the path to the ENVISAT product file :param mode: string that specifies the mode in which the file is opened. Allowed values: 'rb', 'rb+' for read-write mode. Default: mode='rb'. :returns: the :class:`Product` instance representing the specified product. An exception (:exc:`exceptions.ValueError`) is raised if the file could not be opened. .. seealso :class:`Product` """ return Product(filename, mode) # library initialization/finalization _EPR_C_LIB = _CLib.__new__(_CLib) @atexit.register def _close_api(): # ensure that all EprObject(s) are collected before removing the last # reference to _EPR_C_LIB import gc gc.collect() global _EPR_C_LIB _EPR_C_LIB = None # clean namespace del atexit, namedtuple pyepr-1.1.3/tests/000077500000000000000000000000001414372560000140175ustar00rootroot00000000000000pyepr-1.1.3/tests/__init__.py000066400000000000000000000000001414372560000161160ustar00rootroot00000000000000pyepr-1.1.3/tests/checksetup.mak000066400000000000000000000135251414372560000166550ustar00rootroot00000000000000#!/usr/bin/make -f ROOT = CHECKSETUP_ROOT VERSION = $(shell grep "__version__ =" ../src/epr.pyx | cut -d \' -f 2) PKGDIST = pyepr-$(VERSION).tar.gz PYTHON = python PYVER = 3.4.2 CONDA = conda CONDAOPTS = --use-index-cache -m -y .PHONY: \ clean distclean cache check \ check-nosetuptools check-setuptoolsoff check-setuptools \ check-pip check-wheel check: \ check-nosetuptools \ check-setuptoolsoff \ check-setuptools \ check-pip \ check-wheel check-nosetuptools: \ check_nosetuptools_nonumpy_nocython \ check_nosetuptools_numpy_nocython_c \ check_nosetuptools_numpy_cython check-setuptoolsoff: \ check_setuptoolsoff_nonumpy_nocython \ check_setuptoolsoff_numpy_nocython_c \ check_setuptoolsoff_numpy_cython check-setuptools: \ check_setuptools_nonumpy_nocython \ #check_setuptools_nonumpy_nocython_c \ check_setuptools_numpy_cython_c check-pip: \ check_pip_nonumpy_nocython \ check_pip_nonumpy_nocython_c \ check_pip_numpy_cython_c check-wheel: check_wheel $(ROOT): mkdir -p $(ROOT) $(ROOT)/cache-done: $(CONDA) create -p $(ROOT)/dummyenv -m -y \ python=$(PYVER) setuptools pip numpy cython $(ROOT)/dummyenv/bin/pip install --download $(ROOT) --use-wheel wheel $(ROOT)/dummyenv/bin/pip install --download $(ROOT) numpy cython $(RM) -r $(ROOT)/dummyenv touch $@ $(ROOT)/$(PKGDIST): $(ROOT) #$(MAKE) -C .. distclean $(MAKE) -C .. sdist cp ../dist/$(PKGDIST) $(ROOT) cache: $(ROOT)/cache-done $(ROOT)/$(PKGDIST) clean: $(RM) -r $(ROOT)/check_* distclean: $(RM) -r $(ROOT) # no setuptools ############################################################### check_nosetuptools_nonumpy_nocython: $(ROOT) cache $(RM) -r $(ROOT)/$@ $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) tar -C $(ROOT)/$@ -xvzf $(ROOT)/$(PKGDIST) rm $(ROOT)/$@/pyepr-$(VERSION)/src/*.c cd $(ROOT)/$@/pyepr-$(VERSION);\ ../bin/$(PYTHON) setup.py install;\ if [ ! $$? ]; then false; else true; fi @echo "EXPECTED FAILURE" check_nosetuptools_numpy_nocython_c: $(ROOT) cache $(RM) -r $(ROOT)/$@ $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) numpy tar -C $(ROOT)/$@ -xvzf $(ROOT)/$(PKGDIST) cd $(ROOT)/$@/pyepr-$(VERSION);\ ../bin/$(PYTHON) setup.py install check_nosetuptools_numpy_cython: $(ROOT) cache $(RM) -r $(ROOT)/$@ $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) numpy cython tar -C $(ROOT)/$@ -xvzf $(ROOT)/$(PKGDIST) rm $(ROOT)/$@/pyepr-$(VERSION)/src/*.c cd $(ROOT)/$@/pyepr-$(VERSION);\ ../bin/$(PYTHON) setup.py install # setuptools off ############################################################## check_setuptoolsoff_nonumpy_nocython: $(ROOT) cache $(RM) -r $(ROOT)/$@ $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) setuptools tar -C $(ROOT)/$@ -xvzf $(ROOT)/$(PKGDIST) rm $(ROOT)/$@/pyepr-$(VERSION)/src/*.c cd $(ROOT)/$@/pyepr-$(VERSION);\ env USE_SETUPTOOLS=FALSE ../bin/$(PYTHON) setup.py install;\ if [ ! $$? ]; then false; else true; fi @echo "EXPECTED FAILURE" check_setuptoolsoff_numpy_nocython_c: $(ROOT) cache $(RM) -r $(ROOT)/$@ $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) setuptools numpy tar -C $(ROOT)/$@ -xvzf $(ROOT)/$(PKGDIST) cd $(ROOT)/$@/pyepr-$(VERSION);\ env USE_SETUPTOOLS=FALSE ../bin/$(PYTHON) setup.py install check_setuptoolsoff_numpy_cython: $(ROOT) cache $(RM) -r $(ROOT)/$@ $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) setuptools numpy cython tar -C $(ROOT)/$@ -xvzf $(ROOT)/$(PKGDIST) rm $(ROOT)/$@/pyepr-$(VERSION)/src/*.c cd $(ROOT)/$@/pyepr-$(VERSION);\ env USE_SETUPTOOLS=FALSE ../bin/$(PYTHON) setup.py install # setuptools ################################################################## check_setuptools_nonumpy_nocython: $(ROOT) cache $(RM) -r $(ROOT)/$@ $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) setuptools tar -C $(ROOT)/$@ -xvzf $(ROOT)/$(PKGDIST) rm $(ROOT)/$@/pyepr-$(VERSION)/src/*.c cd $(ROOT)/$@/pyepr-$(VERSION);\ ../bin/$(PYTHON) setup.py install;\ if [ ! $$? ]; then false; else true; fi @echo "EXPECTED FAILURE" # @TODO: check #check_setuptools_nonumpy_nocython_c: $(ROOT) cache # $(RM) -r $(ROOT)/$@ # $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) setuptools # tar -C $(ROOT)/$@ -xvzf $(ROOT)/$(PKGDIST) # cd $(ROOT)/$@/pyepr-$(VERSION);\ # ../bin/$(PYTHON) setup.py install check_setuptools_numpy_cython_c: $(ROOT) cache $(RM) -r $(ROOT)/$@ $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) setuptools numpy cython tar -C $(ROOT)/$@ -xvzf $(ROOT)/$(PKGDIST) cd $(ROOT)/$@/pyepr-$(VERSION);\ ../bin/$(PYTHON) setup.py install # pip ######################################################################### check_pip_nonumpy_nocython: $(ROOT) cache $(RM) -r $(ROOT)/$@ $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) pip tar -C $(ROOT)/$@ -xvzf $(ROOT)/$(PKGDIST) rm $(ROOT)/$@/pyepr-$(VERSION)/src/*.c cd $(ROOT)/$@/pyepr-$(VERSION);\ $(ROOT)/$@/bin/pip install -v --no-index --find-links=file://$(PWD)/$(ROOT) $(ROOT)/$@/pyepr-$(VERSION);\ if [ ! $$? ]; then false; else true; fi @echo "EXPECTED FAILURE" check_pip_nonumpy_nocython_c: $(ROOT) cache $(RM) -r $(ROOT)/$@ $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) pip $(ROOT)/$@/bin/pip install -v --no-index --find-links=file://$(PWD)/$(ROOT) $(ROOT)/$(PKGDIST) check_pip_numpy_cython_c: $(ROOT) cache $(RM) -r $(ROOT)/$@ $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) pip cython numpy $(ROOT)/$@/bin/pip install -v --no-index --find-links=file://$(PWD)/$(ROOT) $(ROOT)/$(PKGDIST) # wheel ####################################################################### check_wheel: $(ROOT) cache $(RM) -r $(ROOT)/$@ $(CONDA) create $(CONDAOPTS) -p $(ROOT)/$@ python=$(PYVER) pip cython numpy $(ROOT)/$@/bin/pip install -v --no-index --find-links=file://$(PWD)/$(ROOT) wheel tar -C $(ROOT)/$@ -xvzf $(ROOT)/$(PKGDIST) cd $(ROOT)/$@/pyepr-$(VERSION);\ ../bin/$(PYTHON) setup.py bdist_wheel pyepr-1.1.3/tests/test_all.py000077500000000000000000003026611414372560000162130ustar00rootroot00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright (C) 2011-2021, Antonio Valentino # # This file is part of PyEPR. # # PyEPR is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # PyEPR is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with PyEPR. If not, see . import os import re import sys import shutil import numbers import pathlib import zipfile import operator import platform import tempfile import unittest import functools from urllib.request import urlopen from packaging.version import parse as Version try: import resource except ImportError: resource = None import numpy as np import numpy.testing as npt import epr EPR_TO_NUMPY_TYPE = { # epr.E_TID_UNKNOWN: np.NPY_NOTYPE, epr.E_TID_UCHAR: np.ubyte, epr.E_TID_CHAR: np.byte, epr.E_TID_USHORT: np.ushort, epr.E_TID_SHORT: np.short, epr.E_TID_UINT: np.uint, epr.E_TID_INT: int, epr.E_TID_FLOAT: np.float32, epr.E_TID_DOUBLE: np.double, epr.E_TID_STRING: str, # epr.E_TID_SPARE = e_tid_spare, # epr.E_TID_TIME = e_tid_time, } def has_epr_c_bug_pyepr009(): v = Version(epr.EPR_C_API_VERSION) if '_pyepr' in str(v): epr_version, _, pyepr_version = str(v).partition('_pyepr') v = Version(epr_version), Version(pyepr_version) v_ref = Version('2.3dev'), Version('082') return v < v_ref else: return v <= Version('2.3') EPR_C_BUG_PYEPR009 = has_epr_c_bug_pyepr009() EPR_C_BUG_BCEPR002 = EPR_C_BUG_PYEPR009 TESTDIR = os.path.abspath(os.path.dirname(__file__)) TEST_PRODUCT = 'ASA_APM_1PNPDE20091007_025628_000000432083_00118_39751_9244.N1' TEST_PRODUCT_BM_EXPR = None def quiet(func): @functools.wraps(func) def wrapper(*args, **kwds): sysout = sys.stdout syserr = sys.stderr try: # using '/dev/null' doesn't work in python 3 because the file # object coannot be converted into a C FILE* # with file(os.devnull) as fd: with tempfile.TemporaryFile('w+') as fd: sys.stdout = fd sys.stderr = fd ret = func(*args, **kwds) finally: sys.stdout = sysout sys.stderr = syserr return ret return wrapper def equal_products(product1, product2): if type(product1) != type(product2): return False for name in ('file_path', 'tot_size', 'id_string', 'meris_iodd_version'): if getattr(product1, name) != getattr(product2, name): return False for name in ('get_scene_width', 'get_scene_height', 'get_num_datasets', 'get_num_dsds', 'get_num_bands', ): if getattr(product1, name)() != getattr(product2, name)(): return False return True def setUpModule(): filename = os.path.join(TESTDIR, TEST_PRODUCT) baseurl = 'http://www.brockmann-consult.de/beam/data/products/ASAR' url = baseurl + '/' + os.path.splitext(TEST_PRODUCT)[0] + '.zip' if not os.path.exists(filename): with urlopen(url) as src: with open(filename + '.zip', 'wb') as dst: for data in src: dst.write(data) with zipfile.ZipFile(filename + '.zip') as arch: arch.extractall(TESTDIR) os.remove(filename + '.zip') print('Test product:', filename) assert os.path.exists(filename) class TestOpenProduct(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) def test_open(self): with epr.open(self.PRODUCT_FILE) as product: self.assertTrue(isinstance(product, epr.Product)) self.assertEqual(product.mode, 'rb') def test_open_rb(self): with epr.open(self.PRODUCT_FILE, 'rb') as product: self.assertTrue(isinstance(product, epr.Product)) self.assertEqual(product.mode, 'rb') def test_open_rwb_01(self): with epr.open(self.PRODUCT_FILE, 'r+b') as product: self.assertTrue(isinstance(product, epr.Product)) self.assertTrue(product.mode in ('r+b', 'rb+')) def test_open_rwb_02(self): with epr.open(self.PRODUCT_FILE, 'rb+') as product: self.assertTrue(isinstance(product, epr.Product)) self.assertTrue(product.mode in ('r+b', 'rb+')) def test_open_invalid_mode_01(self): self.assertRaises(ValueError, epr.open, self.PRODUCT_FILE, '') def test_open_invalid_mode_02(self): self.assertRaises(ValueError, epr.open, self.PRODUCT_FILE, 'rx') def test_open_invalid_mode_03(self): self.assertRaises(TypeError, epr.open, self.PRODUCT_FILE, 0) def test_open_bytes(self): filename = self.PRODUCT_FILE.encode('UTF-8') with epr.open(filename) as product: self.assertTrue(isinstance(product, epr.Product)) def test_open_pathlib(self): filename = pathlib.Path(self.PRODUCT_FILE) with epr.open(filename) as product: self.assertTrue(isinstance(product, epr.Product)) def test_product_constructor(self): with epr.Product(self.PRODUCT_FILE) as product: self.assertTrue(isinstance(product, epr.Product)) def test_open_failure(self): self.assertRaises(epr.EPRError, epr.open, '') def test_filename_type(self): self.assertRaises(TypeError, epr.open, 3) def test_open_failure_invalid_product(self): self.assertRaises(ValueError, epr.open, __file__) def test_product_constructor_failure(self): self.assertRaises(epr.EPRError, epr.Product, '') def test_product_constructor_failure_invalid_product(self): self.assertRaises(ValueError, epr.Product, __file__) class TestProduct(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) OPEN_MODE = 'rb' ID_STRING = 'ASA_APM_1PNPDE20091007_025628_000000432083_00118' TOT_SIZE = 22903686 DATASET_NAMES = [ 'MDS1_SQ_ADS', 'MDS2_SQ_ADS', 'MAIN_PROCESSING_PARAMS_ADS', 'DOP_CENTROID_COEFFS_ADS', 'SR_GR_ADS', 'CHIRP_PARAMS_ADS', 'GEOLOCATION_GRID_ADS', 'MDS1', 'MDS2', ] DATASET_NAME = 'MDS1' DATASET_WIDTH = 1452 DATASET_HEIGHT = 3915 DATASET_NDSDS = 18 DATASET_NBANDS = 6 BAND_NAME = 'proc_data_1' SPH_DESCRIPTOR = 'AP Mode Medium Res. Image' MERIS_IODD_VERSION = 0 def setUp(self): self.product = epr.Product(self.PRODUCT_FILE, self.OPEN_MODE) self.bm_expr = TEST_PRODUCT_BM_EXPR def tearDown(self): self.product.close() def test_close(self): self.product.close() def test_flush(self): self.product.flush() def test_double_close(self): self.product.close() self.product.close() def test_file_path_property(self): self.assertEqual(self.product.file_path, self.PRODUCT_FILE.replace('\\', '/')) def test_mode_property(self): self.assertEqual(self.product.mode, self.OPEN_MODE) def test_tot_size_property(self): self.assertEqual(self.product.tot_size, self.TOT_SIZE) def test_id_string_property(self): self.assertEqual(self.product.id_string, self.ID_STRING) def test_meris_iodd_version_property(self): self.assertEqual(self.product.meris_iodd_version, self.MERIS_IODD_VERSION) def test_get_scene_width(self): self.assertEqual(self.product.get_scene_width(), self.DATASET_WIDTH) def test_get_scene_height(self): self.assertEqual(self.product.get_scene_height(), self.DATASET_HEIGHT) def test_get_num_datasets(self): self.assertEqual(self.product.get_num_datasets(), len(self.DATASET_NAMES)) def test_get_num_dsds(self): self.assertEqual(self.product.get_num_dsds(), self.DATASET_NDSDS) def test_get_num_bands(self): self.assertEqual(self.product.get_num_bands(), self.DATASET_NBANDS) def test_get_dataset_at(self): dataset = self.product.get_dataset_at(0) self.assertTrue(dataset) def test_get_dataset(self): dataset = self.product.get_dataset(self.DATASET_NAME) self.assertTrue(dataset) def test_datasets(self): datasets = [self.product.get_dataset_at(idx) for idx in range(self.product.get_num_datasets())] dataset_names = [ds.get_name() for ds in datasets] self.assertEqual(dataset_names, self.DATASET_NAMES) def test_get_dsd_at(self): self.assertTrue(isinstance(self.product.get_dsd_at(0), epr.DSD)) def test_get_mph(self): record = self.product.get_mph() self.assertTrue(isinstance(record, epr.Record)) product = record.get_field('PRODUCT').get_elem() self.assertEqual(product.decode('ascii'), os.path.basename(self.PRODUCT_FILE)) def test_get_sph(self): record = self.product.get_sph() self.assertTrue(isinstance(record, epr.Record)) sph_desct = record.get_field('SPH_DESCRIPTOR').get_elem() self.assertEqual(sph_desct.decode('ascii'), self.SPH_DESCRIPTOR) def test_get_band_id(self): self.assertTrue(isinstance(self.product.get_band(self.BAND_NAME), epr.Band)) def test_get_band_id_bytes(self): band_name = self.BAND_NAME.encode('UTF-8') self.assertTrue(isinstance(band_name, bytes)) self.assertTrue(isinstance(self.product.get_band(self.BAND_NAME), epr.Band)) def test_get_band_id_invalid_name(self): self.assertRaises(ValueError, self.product.get_band, '') def test_get_band_id_at(self): self.assertTrue(isinstance(self.product.get_band_at(0), epr.Band)) def test_get_band_id_at_invalid_index(self): self.assertRaises(ValueError, self.product.get_band_at, self.product.get_num_bands()) @unittest.skipIf(TEST_PRODUCT_BM_EXPR is None, 'no flag band available') def test_read_bitmask_raster(self): bm_expr = self.bm_expr xoffset = self.DATASET_WIDTH // 2 yoffset = self.DATASET_HEIGHT // 2 width = self.DATASET_WIDTH // 2 height = self.DATASET_HEIGHT // 2 raster = epr.create_bitmask_raster(width, height) raster = self.product.read_bitmask_raster(bm_expr, xoffset, yoffset, raster) self.assertTrue(isinstance(raster, epr.Raster)) self.assertEqual(raster.get_width(), width) self.assertEqual(raster.get_height(), height) @unittest.skipIf(TEST_PRODUCT_BM_EXPR is None, 'no flag band available') def test_read_bitmask_raster_bytes(self): bm_expr = self.bm_expr.encode('UTF-8') self.assertTrue(isinstance(bm_expr, bytes)) xoffset = self.DATASET_WIDTH // 2 yoffset = self.DATASET_HEIGHT // 2 width = self.DATASET_WIDTH // 2 height = self.DATASET_HEIGHT // 2 raster = epr.create_bitmask_raster(width, height) raster = self.product.read_bitmask_raster(bm_expr, xoffset, yoffset, raster) self.assertTrue(isinstance(raster, epr.Raster)) self.assertEqual(raster.get_width(), width) self.assertEqual(raster.get_height(), height) def test_read_bitmask_raster_with_invalid_bm_expr(self): bm_expr = 'l5_flags.LAND AND !l2_flags.CLOUD' xoffset = self.DATASET_WIDTH // 2 yoffset = self.DATASET_HEIGHT // 2 width = self.DATASET_WIDTH // 2 height = self.DATASET_HEIGHT // 2 raster = epr.create_bitmask_raster(width, height) self.assertRaises(epr.EPRError, self.product.read_bitmask_raster, bm_expr, xoffset, yoffset, raster) try: self.product.read_bitmask_raster(bm_expr, xoffset, yoffset, raster) except epr.EPRError as e: self.assertEqual(e.code, 301) def test_read_bitmask_raster_with_wrong_data_type(self): bm_expr = 'l2_flags.LAND AND !l2_flags.CLOUD' xoffset = self.DATASET_WIDTH // 2 yoffset = self.DATASET_HEIGHT // 2 width = self.DATASET_WIDTH // 2 height = self.DATASET_HEIGHT // 2 raster = epr.create_raster(epr.E_TID_DOUBLE, width, height) self.assertRaises(epr.EPRError, self.product.read_bitmask_raster, bm_expr, xoffset, yoffset, raster) try: self.product.read_bitmask_raster(bm_expr, xoffset, yoffset, raster) except epr.EPRError as e: self.assertEqual(e.code, 7) def test_fileno(self): self.assertTrue(isinstance(self.product._fileno, int)) def test_fileno_read(self): pos = os.lseek(self.product._fileno, 0, os.SEEK_CUR) try: os.lseek(self.product._fileno, 0, os.SEEK_SET) data = os.read(self.product._fileno, 7) self.assertEqual(data, b'PRODUCT') finally: os.lseek(self.product._fileno, pos, os.SEEK_SET) class TestProductRW(TestProduct): OPEN_MODE = 'rb+' class TestProductHighLevelAPI(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_NAMES = TestProduct.DATASET_NAMES BAND_NAMES = [ 'slant_range_time', 'incident_angle', 'latitude', 'longitude', 'proc_data_1', 'proc_data_2', ] def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) def tearDown(self): self.product.close() def test_closed(self): self.assertFalse(self.product.closed) self.product.close() self.assertTrue(self.product.closed) def test_readonly_closed(self): self.assertFalse(self.product.closed) self.assertRaises(AttributeError, setattr, self.product, 'closed', True) def test_get_dataset_names(self): self.assertEqual(self.product.get_dataset_names(), self.DATASET_NAMES) def test_get_band_names(self): self.assertEqual(self.product.get_band_names(), self.BAND_NAMES) def test_datasets(self): datasets = self.product.datasets() self.assertTrue(datasets) self.assertEqual(len(datasets), self.product.get_num_datasets()) for index, dataset in enumerate(datasets): ref_dataset = self.product.get_dataset_at(index) self.assertEqual(dataset.get_name(), ref_dataset.get_name()) def test_bands(self): bands = self.product.bands() self.assertTrue(bands) self.assertEqual(len(bands), self.product.get_num_bands()) for index, band in enumerate(bands): ref_band = self.product.get_band_at(index) self.assertEqual(band.get_name(), ref_band.get_name()) # @TODO: not implemented # def test_iter(self): # pass def test_repr(self): pattern = (r'epr\.Product\((?P\w+)\) ' r'(?P\d+) datasets, ' r'(?P\d+) bands') mobj = re.match(pattern, repr(self.product)) self.assertNotEqual(mobj, None) self.assertEqual(mobj.group('name'), self.product.id_string) self.assertEqual(mobj.group('n_datasets'), str(self.product.get_num_datasets())) self.assertEqual(mobj.group('n_bands'), str(self.product.get_num_bands())) def test_repr_type(self): self.assertTrue(isinstance(repr(self.product), str)) def test_str(self): lines = [repr(self.product), ''] lines.extend(map(repr, self.product.datasets())) lines.append('') lines.extend(map(str, self.product.bands())) data = '\n'.join(lines) self.assertEqual(data, str(self.product)) def test_str_type(self): self.assertTrue(isinstance(str(self.product), str)) def test_context_manager(self): with epr.open(self.PRODUCT_FILE) as product: self.assertTrue(isinstance(product, epr.Product)) self.assertFalse(product.closed) self.assertTrue(str(product)) self.assertTrue(product.closed) class TestProductLowLevelAPI(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) def tearDown(self): self.product.close() def test_magic(self): self.assertEqual(self.product._magic, epr._EPR_MAGIC_PRODUCT_ID) class TestClosedProduct(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_NAME = 'MDS1' BAND_NAME = 'proc_data_1' def setUp(self): self.product = epr.open(self.PRODUCT_FILE) self.product.close() def test_properties(self): for name in ('file_path', 'tot_size', 'id_string', 'meris_iodd_version'): self.assertRaises(ValueError, getattr, self.product, name) def test_get_get_scene_width(self): self.assertRaises(ValueError, self.product.get_scene_width) def test_get_get_scene_height(self): self.assertRaises(ValueError, self.product.get_scene_height) def test_get_num_datasets(self): self.assertRaises(ValueError, self.product.get_num_datasets) def test_get_num_dsds(self): self.assertRaises(ValueError, self.product.get_num_dsds) def test_get_num_bands(self): self.assertRaises(ValueError, self.product.get_num_bands) def test_get_mph(self): self.assertRaises(ValueError, self.product.get_mph) def test_get_sph(self): self.assertRaises(ValueError, self.product.get_sph) def test_get_dataset_at(self): self.assertRaises(ValueError, self.product.get_dataset_at, 0) def test_get_dataset(self): self.assertRaises(ValueError, self.product.get_dataset, self.DATASET_NAME) def test_get_dsd_at(self): self.assertRaises(ValueError, self.product.get_dsd_at, 0) def test_get_band_id(self): self.assertRaises(ValueError, self.product.get_band, self.BAND_NAME) def test_get_band_id_at(self): self.assertRaises(ValueError, self.product.get_band_at, 0) def test_read_bitmask_raster(self): bm_expr = 'l2_flags.LAND AND !l2_flags.CLOUD' raster = epr.create_bitmask_raster(12, 10) xoffset = 0 yoffset = 0 self.assertRaises(ValueError, self.product.read_bitmask_raster, bm_expr, xoffset, yoffset, raster) def test_get_dataset_names(self): self.assertRaises(ValueError, self.product.get_dataset_names) def test_get_band_names(self): self.assertRaises(ValueError, self.product.get_band_names) def test_datasets(self): self.assertRaises(ValueError, self.product.datasets) def test_bands(self): self.assertRaises(ValueError, self.product.bands) def test_repr(self): self.assertRaises(ValueError, repr, self.product) def test_str(self): self.assertRaises(ValueError, str, self.product) class TestDataset(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) OPEN_MODE = 'rb' DATASET_NAME = 'MDS1' DATASET_DESCRIPTION = 'Measurement Data Set 1' NUM_RECORDS = 3915 DSD_NAME = 'MDS1' RECORD_INDEX = 0 def setUp(self): self.product = epr.Product(self.PRODUCT_FILE, self.OPEN_MODE) self.dataset = self.product.get_dataset(self.DATASET_NAME) def tearDown(self): self.product.close() def test_product_property(self): self.assertTrue(equal_products(self.dataset.product, self.product)) def test_description_property(self): self.assertEqual(self.dataset.description, self.DATASET_DESCRIPTION) def test_get_name(self): self.assertEqual(self.dataset.get_name(), self.DATASET_NAME) def test_get_dsd_name(self): self.assertEqual(self.dataset.get_dsd_name(), self.DSD_NAME) def test_get_num_records(self): self.assertEqual(self.dataset.get_num_records(), self.NUM_RECORDS) def test_get_dsd(self): self.assertTrue(isinstance(self.dataset.get_dsd(), epr.DSD)) def test_create_record(self): record = self.dataset.create_record() self.assertTrue(isinstance(record, epr.Record)) def test_create_record_index(self): record = self.dataset.create_record() self.assertEqual(record.index, None) def test_read_record(self): record = self.dataset.read_record(self.RECORD_INDEX) self.assertTrue(isinstance(record, epr.Record)) def test_read_record_index(self): record = self.dataset.read_record(self.RECORD_INDEX) self.assertEqual(record.index, self.RECORD_INDEX) def test_read_record_passed(self): created_record = self.dataset.create_record() read_record = self.dataset.read_record(self.RECORD_INDEX, created_record) self.assertTrue(created_record is read_record) def test_read_record_passed_index(self): created_record = self.dataset.create_record() self.assertEqual(created_record.index, None) read_record = self.dataset.read_record(self.RECORD_INDEX, created_record) self.assertEqual(read_record.index, self.RECORD_INDEX) def test_read_record_passed_invalid(self): self.assertRaises(TypeError, self.dataset.read_record, 0, 0) class TestDatasetRW(TestDataset): OPEN_MODE = 'rb+' class TestDatasetHighLevelAPI(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_NAME = TestDataset.DATASET_NAME def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) self.dataset = self.product.get_dataset(self.DATASET_NAME) def tearDown(self): self.product.close() def test_records(self): records = self.dataset.records() self.assertTrue(records) self.assertEqual(len(records), self.dataset.get_num_records()) for index, record in enumerate(records): ref_record = self.dataset.read_record(index) self.assertEqual(record.get_field_names(), ref_record.get_field_names()) def test_iter(self): index = 0 for record in self.dataset: ref_record = self.dataset.read_record(index) self.assertEqual(record.get_field_names(), ref_record.get_field_names()) index += 1 self.assertEqual(index, self.dataset.get_num_records()) def test_repr(self): pattern = r'epr\.Dataset\((?P\w+)\) (?P\d+) records' mobj = re.match(pattern, repr(self.dataset)) self.assertNotEqual(mobj, None) self.assertEqual(mobj.group('name'), self.dataset.get_name()) self.assertEqual(mobj.group('num'), str(self.dataset.get_num_records())) def test_repr_type(self): self.assertTrue(isinstance(repr(self.dataset), str)) def test_str(self): lines = [repr(self.dataset), ''] lines.extend(map(str, self.dataset)) data = '\n'.join(lines) self.assertEqual(data, str(self.dataset)) def test_str_type(self): self.assertTrue(isinstance(str(self.dataset), str)) class TestDatasetOnClosedProduct(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_NAME = 'MDS1' def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) self.dataset = self.product.get_dataset(self.DATASET_NAME) self.record = self.dataset.create_record() self.product.close() def test_product_property(self): self.assertTrue(isinstance(self.dataset.product, epr.Product)) def test_description_property(self): self.assertRaises(ValueError, getattr, self.dataset, 'description') def test_get_name(self): self.assertRaises(ValueError, self.dataset.get_name) def test_get_dsd_name(self): self.assertRaises(ValueError, self.dataset.get_dsd_name) def test_get_num_records(self): self.assertRaises(ValueError, self.dataset.get_num_records) def test_get_dsd(self): self.assertRaises(ValueError, self.dataset.get_dsd) def test_create_record(self): self.assertRaises(ValueError, self.dataset.create_record) def test_read_record(self): self.assertRaises(ValueError, self.dataset.read_record, 0) def test_read_record_passed(self): self.assertRaises(ValueError, self.dataset.read_record, 0, self.record) def test_records(self): self.assertRaises(ValueError, self.dataset.records) def test_iter(self): self.assertRaises(ValueError, iter, self.dataset) def test_repr(self): self.assertRaises(ValueError, repr, self.dataset) def test_str(self): self.assertRaises(ValueError, str, self.dataset) class TestBand(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) OPEN_MODE = 'rb+' DATASET_NAME = 'MDS1' BAND_NAMES = ( 'slant_range_time', 'incident_angle', 'latitude', 'longitude', 'proc_data_1', 'proc_data_2', ) BAND_NAME = 'proc_data_1' BAND_DESCTIPTION = 'Alternating Polarization Medium Resolution Image' XOFFSET = 90 YOFFSET = 80 WIDTH = 200 HEIGHT = 100 SCALING_FACTOR = 1.0 SCALING_OFFSET = 0.0 UNIT = None RTOL = 1e-7 DATA_TYPE = np.float32 TEST_DATA = np.asarray([ [228., 213., 235., 256., 239., 260., 210., 197., 233., 213.], [246., 248., 333., 317., 272., 247., 247., 221., 221., 205.], [239., 297., 412., 381., 301., 226., 262., 256., 229., 214.], [212., 279., 328., 318., 279., 231., 253., 274., 240., 242.], [199., 236., 245., 262., 282., 265., 261., 255., 255., 239.], [214., 218., 284., 300., 269., 266., 272., 224., 292., 238.], [240., 241., 300., 308., 248., 254., 269., 230., 276., 256.], [256., 261., 265., 269., 263., 262., 279., 279., 300., 367.], [273., 262., 262., 239., 270., 284., 344., 380., 416., 447.], [292., 286., 303., 261., 284., 374., 445., 431., 422., 416.], ]) def setUp(self): self.product = epr.Product(self.PRODUCT_FILE, self.OPEN_MODE) self.band = self.product.get_band(self.BAND_NAME) def tearDown(self): self.product.close() def test_product_property(self): self.assertTrue(equal_products(self.band.product, self.product)) def test_spectr_band_index_property(self): self.assertEqual(self.band.spectr_band_index, -1) def test_sample_model_property(self): self.assertEqual(self.band.sample_model, 0) def test_data_type_property(self): self.assertEqual(self.band.data_type, epr.E_TID_FLOAT) def test_scaling_method_property(self): self.assertEqual(self.band.scaling_method, epr.E_SMID_LIN) def test_scaling_offset_property(self): self.assertEqual(self.band.scaling_offset, self.SCALING_OFFSET) def test_scaling_factor_property(self): self.assertEqual(self.band.scaling_factor, self.SCALING_FACTOR) self.assertTrue(isinstance(self.band.scaling_factor, float)) def test_bm_expr_property(self): self.assertEqual(self.band.bm_expr, None) def test_unit_property(self): self.assertEqual(self.band.unit, self.UNIT) def test_description_property(self): self.assertEqual(self.band.description, self.BAND_DESCTIPTION) def test_lines_mirrored_property(self): self.assertTrue(isinstance(self.band.lines_mirrored, bool)) self.assertEqual(self.band.lines_mirrored, True) def test_dataset_property(self): dataset = self.band.dataset self.assertTrue(isinstance(dataset, epr.Dataset)) self.assertEqual(dataset.get_name(), self.DATASET_NAME) def test_get_name(self): for index in range(len(self.BAND_NAMES)): b = self.product.get_band_at(index) self.assertEqual(b.get_name(), self.BAND_NAMES[index]) def test_create_compatible_raster(self): width = self.product.get_scene_width() height = self.product.get_scene_height() raster = self.band.create_compatible_raster(width, height) self.assertTrue(isinstance(raster, epr.Raster)) self.assertEqual(raster.get_width(), width) self.assertEqual(raster.get_height(), height) # @NOTE: data type on disk is epr.E_TID_USHORT self.assertEqual(raster.data_type, epr.E_TID_FLOAT) def test_create_compatible_raster_with_invalid_size(self): width = self.product.get_scene_width() height = self.product.get_scene_height() self.assertRaises((ValueError, OverflowError), self.band.create_compatible_raster, -1, height) self.assertRaises((ValueError, OverflowError), self.band.create_compatible_raster, width, -1) self.assertRaises(ValueError, self.band.create_compatible_raster, self.product.get_scene_width() + 10, height) self.assertRaises(ValueError, self.band.create_compatible_raster, width, self.product.get_scene_height() + 10) def test_create_compatible_raster_with_step(self): src_width = self.product.get_scene_width() src_height = self.product.get_scene_height() xstep = 2 ystep = 3 width = (src_width - 1) // xstep + 1 height = (src_height - 1) // ystep + 1 raster = self.band.create_compatible_raster(src_width, src_height, xstep, ystep) self.assertTrue(isinstance(raster, epr.Raster)) self.assertEqual(raster.get_width(), width) self.assertEqual(raster.get_height(), height) # @NOTE: data type on disk is epr.E_TID_USHORT self.assertEqual(raster.data_type, epr.E_TID_FLOAT) def test_create_compatible_raster_with_invalid_step(self): width = self.product.get_scene_width() height = self.product.get_scene_height() self.assertRaises((ValueError, OverflowError), self.band.create_compatible_raster, width, height, -1, 2) self.assertRaises((ValueError, OverflowError), self.band.create_compatible_raster, width, height, 2, -1) self.assertRaises((ValueError, OverflowError), self.band.create_compatible_raster, width, height, -2, -1) self.assertRaises((ValueError, ValueError), self.band.create_compatible_raster, width, height, width + 10, 2) self.assertRaises((ValueError, ValueError), self.band.create_compatible_raster, width, height, 2, height + 10) self.assertRaises((ValueError, ValueError), self.band.create_compatible_raster, width, height, width + 10, height + 10) def test_create_compatible_raster_with_default_size(self): src_width = self.product.get_scene_width() src_height = self.product.get_scene_height() raster = self.band.create_compatible_raster() self.assertTrue(isinstance(raster, epr.Raster)) self.assertEqual(raster.get_width(), src_width) self.assertEqual(raster.get_height(), src_height) # @NOTE: data type on disk is epr.E_TID_USHORT self.assertEqual(raster.data_type, epr.E_TID_FLOAT) def test_read_raster(self): rasterin = self.band.create_compatible_raster(self.WIDTH, self.HEIGHT) raster = self.band.read_raster(self.XOFFSET, self.YOFFSET, rasterin) self.assertTrue(isinstance(raster, epr.Raster)) self.assertTrue(raster is rasterin) self.assertEqual(raster.get_width(), self.WIDTH) self.assertEqual(raster.get_height(), self.HEIGHT) # @NOTE: data type on disk is epr.E_TID_USHORT self.assertEqual(raster.data_type, epr.E_TID_FLOAT) h, w = self.TEST_DATA.shape npt.assert_allclose(raster.get_pixel(0, 0), self.TEST_DATA[0, 0], rtol=self.RTOL) npt.assert_allclose(raster.get_pixel(w - 1, h - 1), self.TEST_DATA[h - 1, w - 1], rtol=self.RTOL) def test_read_raster_none(self): raster = self.band.read_raster() self.assertTrue(isinstance(raster, epr.Raster)) self.assertEqual(raster.get_width(), self.product.get_scene_width()) self.assertEqual(raster.get_height(), self.product.get_scene_height()) # @NOTE: data type on disk is epr.E_TID_USHORT self.assertEqual(raster.data_type, epr.E_TID_FLOAT) h, w = self.TEST_DATA.shape npt.assert_allclose( raster.get_pixel(self.XOFFSET, self.YOFFSET), self.TEST_DATA[0, 0], rtol=self.RTOL) npt.assert_allclose( raster.get_pixel(self.XOFFSET + w - 1, self.YOFFSET + h - 1), self.TEST_DATA[h - 1, w - 1], rtol=self.RTOL) def test_read_raster_default_offset(self): height = self.HEIGHT width = self.WIDTH raster1 = self.band.create_compatible_raster(width, height) raster2 = self.band.create_compatible_raster(width, height) r1 = self.band.read_raster(0, 0, raster1) r2 = self.band.read_raster(raster=raster2) self.assertTrue(r1 is raster1) self.assertTrue(r2 is raster2) self.assertEqual(raster1.get_pixel(0, 0), raster2.get_pixel(0, 0)) self.assertEqual(raster1.get_pixel(width - 1, height - 1), raster2.get_pixel(width - 1, height - 1)) h, w = self.TEST_DATA.shape npt.assert_allclose( raster1.get_pixel(self.XOFFSET, self.YOFFSET), self.TEST_DATA[0, 0], rtol=self.RTOL) npt.assert_allclose( raster1.get_pixel(self.XOFFSET + w - 1, self.YOFFSET + h - 1), self.TEST_DATA[h - 1, w - 1], rtol=self.RTOL) def test_read_raster_with_invalid_raster(self): self.assertRaises(TypeError, self.band.read_raster, 0, 0, 0) def test_read_raster_with_invalid_offset(self): raster = self.band.create_compatible_raster(self.WIDTH, self.HEIGHT) self.assertRaises(ValueError, self.band.read_raster, -1, 0, raster) self.assertRaises(ValueError, self.band.read_raster, 0, -1, raster) self.assertRaises(ValueError, self.band.read_raster, -1, -1, raster) invalid_xoffset = 2 * self.product.get_scene_width() invalid_yoffset = 2 * self.product.get_scene_height() self.assertRaises(ValueError, self.band.read_raster, invalid_xoffset, 0, raster) self.assertRaises(ValueError, self.band.read_raster, 0, invalid_yoffset, raster) self.assertRaises(ValueError, self.band.read_raster, invalid_xoffset, invalid_yoffset, raster) def test_read_as_array_ref(self): data = self.band.read_as_array(self.WIDTH, self.HEIGHT, self.XOFFSET, self.YOFFSET) self.assertTrue(isinstance(data, np.ndarray)) self.assertEqual(data.shape, (self.HEIGHT, self.WIDTH)) self.assertEqual(data.dtype, self.DATA_TYPE) h, w = self.TEST_DATA.shape npt.assert_allclose(data[:h, :w], self.TEST_DATA, rtol=self.RTOL) def test_read_as_array_cross(self): data = self.band.read_as_array() box = self.band.read_as_array(self.WIDTH, self.HEIGHT, self.XOFFSET, self.YOFFSET) npt.assert_array_equal( data[self.YOFFSET:self.YOFFSET + self.HEIGHT, self.XOFFSET:self.XOFFSET + self.WIDTH], box) def test_read_as_array_default(self): data = self.band.read_as_array() self.assertTrue(isinstance(data, np.ndarray)) self.assertEqual( data.shape, (self.product.get_scene_height(), self.product.get_scene_width())) self.assertEqual(data.dtype, self.DATA_TYPE) h, w = self.TEST_DATA.shape npt.assert_allclose( data[self.YOFFSET:self.YOFFSET + h, self.XOFFSET:self.XOFFSET + w], self.TEST_DATA, rtol=self.RTOL) # @SEEALSO: https://www.brockmann-consult.de/beam-jira/browse/EPR-2 @unittest.skipIf(EPR_C_BUG_BCEPR002, 'buggy EPR_C_API detected') def test_read_as_array_with_step_2(self): step = 2 band = self.band data = band.read_as_array() box = band.read_as_array(self.WIDTH, self.HEIGHT, self.XOFFSET, self.YOFFSET, step, step) self.assertTrue(isinstance(box, np.ndarray)) self.assertEqual( box.shape, ((self.HEIGHT - 1) // step + 1, (self.WIDTH - 1) // step + 1)) self.assertEqual(box.dtype, self.DATA_TYPE) npt.assert_allclose( data[self.YOFFSET:self.YOFFSET + self.HEIGHT:step, self.XOFFSET:self.XOFFSET + self.WIDTH:step], box) h, w = self.TEST_DATA.shape npt.assert_allclose( box[:(h-1)//step+1, :(w-1)//step+1], self.TEST_DATA[::step, ::step], rtol=self.RTOL) @unittest.skipIf(EPR_C_BUG_BCEPR002, 'buggy EPR_C_API detected') def test_read_as_array_with_step_3(self): step = 3 band = self.band data = band.read_as_array() box = band.read_as_array(self.WIDTH, self.HEIGHT, self.XOFFSET, self.YOFFSET, step, step) self.assertTrue(isinstance(box, np.ndarray)) self.assertEqual( box.shape, ((self.HEIGHT - 1) // step + 1, (self.WIDTH - 1) // step + 1)) self.assertEqual(box.dtype, self.DATA_TYPE) npt.assert_allclose( data[self.YOFFSET:self.YOFFSET + self.HEIGHT:step, self.XOFFSET:self.XOFFSET + self.WIDTH:step], box) h, w = self.TEST_DATA.shape npt.assert_allclose( box[:(h-1)//step+1, :(w-1)//step+1], self.TEST_DATA[::step, ::step], rtol=self.RTOL) @unittest.skipIf(EPR_C_BUG_BCEPR002, 'buggy EPR_C_API detected') def test_read_as_array_with_step_4(self): step = 4 band = self.band data = band.read_as_array() box = band.read_as_array(self.WIDTH, self.HEIGHT, self.XOFFSET, self.YOFFSET, step, step) self.assertTrue(isinstance(box, np.ndarray)) self.assertEqual( box.shape, ((self.HEIGHT - 1) // step + 1, (self.WIDTH - 1) // step + 1)) self.assertEqual(box.dtype, self.DATA_TYPE) npt.assert_allclose( data[self.YOFFSET:self.YOFFSET + self.HEIGHT:step, self.XOFFSET:self.XOFFSET + self.WIDTH:step], box) h, w = self.TEST_DATA.shape npt.assert_allclose( box[:(h-1)//step+1, :(w-1)//step+1], self.TEST_DATA[::step, ::step]) @unittest.skipIf(EPR_C_BUG_BCEPR002, 'buggy EPR_C_API detected') def test_read_as_array_with_step_5(self): step = 5 band = self.band data = band.read_as_array() box = band.read_as_array(self.WIDTH, self.HEIGHT, self.XOFFSET, self.YOFFSET, step, step) self.assertTrue(isinstance(box, np.ndarray)) self.assertEqual( box.shape, ((self.HEIGHT - 1) // step + 1, (self.WIDTH - 1) // step + 1)) self.assertEqual(box.dtype, self.DATA_TYPE) npt.assert_allclose( data[self.YOFFSET:self.YOFFSET + self.HEIGHT:step, self.XOFFSET:self.XOFFSET + self.WIDTH:step], box) h, w = self.TEST_DATA.shape npt.assert_allclose( box[:(h-1)//step+1, :(w-1)//step+1], self.TEST_DATA[::step, ::step], rtol=self.RTOL) class TestBandRW(TestBand): OPEN_MODE = 'rb+' class TestAnnotationBand(TestBand): DATASET_NAME = 'GEOLOCATION_GRID_ADS' BAND_NAME = 'incident_angle' BAND_DESCTIPTION = 'Incident angle' SCALING_FACTOR = 1.0 SCALING_OFFSET = 0.0 UNIT = 'deg' RTOL = 1e-7 TEST_DATA = np.asarray([ [21.86950111, 21.86438370, 21.85926437, 21.85414696, 21.84902954, 21.84391022, 21.83879280, 21.83367538, 21.82855606, 21.82343864], [21.86950302, 21.86438560, 21.85926628, 21.85414886, 21.84903145, 21.84391212, 21.83879471, 21.83367729, 21.82855797, 21.82344055], [21.86950302, 21.86438560, 21.85926628, 21.85414886, 21.84903145, 21.84391212, 21.83879471, 21.83367729, 21.82855797, 21.82344055], [21.86950302, 21.86438560, 21.85926628, 21.85414886, 21.84903145, 21.84391212, 21.83879471, 21.83367729, 21.82855797, 21.82344055], [21.86950493, 21.86438751, 21.85926819, 21.85415077, 21.84903335, 21.84391403, 21.83879662, 21.83367920, 21.82855987, 21.82344246], [21.86950493, 21.86438751, 21.85926819, 21.85415077, 21.84903335, 21.84391403, 21.83879661, 21.83367920, 21.82855987, 21.82344246], [21.86950493, 21.86438751, 21.85926819, 21.85415077, 21.84903335, 21.84391403, 21.83879661, 21.83367912, 21.82855987, 21.82344246], [21.86950683, 21.86438942, 21.85927009, 21.85415268, 21.84903526, 21.84391594, 21.83879852, 21.83368111, 21.82856178, 21.82344437], [21.86950683, 21.86438942, 21.85927009, 21.85415268, 21.84903526, 21.84391594, 21.83879852, 21.83368111, 21.82856178, 21.82344437], [21.86950683, 21.86438942, 21.85927009, 21.85415268, 21.84903526, 21.84391594, 21.83879852, 21.83368111, 21.82856178, 21.82344437], ]) @unittest.skipIf(EPR_C_BUG_PYEPR009, 'buggy EPR_C_API detected') def test_read_raster(self): super(TestAnnotationBand, self).test_read_raster() @unittest.skipIf(EPR_C_BUG_PYEPR009, 'buggy EPR_C_API detected') def test_read_raster_default_offset(self): super(TestAnnotationBand, self).test_read_raster_default_offset() @unittest.skipIf(EPR_C_BUG_PYEPR009, 'buggy EPR_C_API detected') def test_read_as_array_ref(self): super(TestAnnotationBand, self).test_read_as_array_ref() @unittest.skipIf(EPR_C_BUG_PYEPR009, 'buggy EPR_C_API detected') def test_read_as_array_cross(self): super(TestAnnotationBand, self).test_read_as_array_cross() class TestBandHighLevelAPI(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) def tearDown(self): self.product.close() def test_repr(self): pattern = (r'epr.Band\((?P\w+)\) of ' r'epr.Product\((?P\w+)\)') for band in self.product.bands(): mobj = re.match(pattern, repr(band)) self.assertNotEqual(mobj, None) self.assertEqual(mobj.group('name'), band.get_name()) self.assertEqual(mobj.group('product_id'), self.product.id_string) def test_repr_type(self): band = self.product.get_band_at(0) self.assertTrue(isinstance(repr(band), str)) def test_str_type(self): band = self.product.get_band_at(0) self.assertTrue(isinstance(str(band), str)) class TestBandLowLevelAPI(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) FIELD_INDEX = 7 ELEM_INDEX = -1 def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) self.band = self.product.get_band_at(0) def tearDown(self): self.product.close() def test_magic(self): self.assertEqual(self.band._magic, epr._EPR_MAGIC_BAND_ID) def test_field_index(self): self.assertEqual(self.band._field_index, self.FIELD_INDEX) def test_elem_index(self): self.assertEqual(self.band._elem_index, self.ELEM_INDEX) class TestBandOnClosedProduct(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) WIDTH = 12 HEIGHT = 10 def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) self.band = self.product.get_band_at(0) self.raster = self.band.create_compatible_raster(self.WIDTH, self.HEIGHT) self.product.close() def test_product_property(self): self.assertTrue(isinstance(self.band.product, epr.Product)) def test_properties(self): fields = ( 'spectr_band_index', 'sample_model', 'data_type', 'scaling_method', 'scaling_offset', 'scaling_factor', 'bm_expr', 'unit', 'description', 'lines_mirrored', ) for name in fields: with self.subTest(field=name): self.assertRaises(ValueError, getattr, self.band, name) def test_get_name(self): self.assertRaises(ValueError, self.product.get_band_at, 0) def test_create_compatible_raster(self): self.assertRaises(ValueError, self.band.create_compatible_raster, self.WIDTH, self.HEIGHT) def test_read_raster(self): self.assertRaises(ValueError, self.band.read_raster) def test_read_as_array(self): self.assertRaises(ValueError, self.band.read_as_array, self.WIDTH, self.HEIGHT) def test_str(self): self.assertRaises(ValueError, str, self.band) def test_repr(self): self.assertRaises(ValueError, repr, self.band) class TestCreateRaster(unittest.TestCase): RASTER_WIDTH = 400 RASTER_HEIGHT = 300 RASTER_DATA_TYPE = epr.E_TID_FLOAT def test_create_raster(self): raster = epr.create_raster(self.RASTER_DATA_TYPE, self.RASTER_WIDTH, self.RASTER_HEIGHT) self.assertTrue(isinstance(raster, epr.Raster)) self.assertEqual(raster.data_type, self.RASTER_DATA_TYPE) self.assertEqual(raster.get_width(), self.RASTER_WIDTH) self.assertEqual(raster.get_height(), self.RASTER_HEIGHT) def test_create_raster_with_step(self): src_width = 3 * self.RASTER_WIDTH src_height = 2 * self.RASTER_HEIGHT raster = epr.create_raster(self.RASTER_DATA_TYPE, src_width, src_height, 3, 2) self.assertTrue(isinstance(raster, epr.Raster)) self.assertEqual(raster.data_type, self.RASTER_DATA_TYPE) self.assertEqual(raster.get_width(), self.RASTER_WIDTH) self.assertEqual(raster.get_height(), self.RASTER_HEIGHT) def test_create_raster_with_invalid_step(self): src_width = 3 * self.RASTER_WIDTH src_height = 2 * self.RASTER_HEIGHT self.assertRaises(ValueError, epr.create_raster, self.RASTER_DATA_TYPE, src_width, src_height, 0, 2) def test_create_raster_with_invalid_size(self): self.assertRaises((ValueError, OverflowError), epr.create_raster, self.RASTER_DATA_TYPE, -1, self.RASTER_HEIGHT) def test_create_bitmask_raster(self): raster = epr.create_bitmask_raster(self.RASTER_WIDTH, self.RASTER_HEIGHT) self.assertTrue(isinstance(raster, epr.Raster)) self.assertEqual(raster.data_type, epr.E_TID_UCHAR) self.assertEqual(raster.get_width(), self.RASTER_WIDTH) self.assertEqual(raster.get_height(), self.RASTER_HEIGHT) def test_create_bitmask_raster_with_step(self): src_width = 3 * self.RASTER_WIDTH src_height = 2 * self.RASTER_HEIGHT raster = epr.create_bitmask_raster(src_width, src_height, 3, 2) self.assertTrue(isinstance(raster, epr.Raster)) self.assertEqual(raster.data_type, epr.E_TID_UCHAR) self.assertEqual(raster.get_width(), self.RASTER_WIDTH) self.assertEqual(raster.get_height(), self.RASTER_HEIGHT) def test_create_bitmask_raster_with_invalid_step(self): src_width = 3 * self.RASTER_WIDTH src_height = 2 * self.RASTER_HEIGHT self.assertRaises(ValueError, epr.create_bitmask_raster, src_width, src_height, 0, 2) def test_create_bitmask_raster_with_invalid_size(self): self.assertRaises((ValueError, OverflowError), epr.create_bitmask_raster, -1, self.RASTER_HEIGHT) class TestRaster(unittest.TestCase): RASTER_WIDTH = TestBand.WIDTH RASTER_HEIGHT = TestBand.HEIGHT RASTER_DATA_TYPE = epr.E_TID_FLOAT RASTER_ELEM_SIZE = 4 RTOL = 1e-7 TEST_DATA = np.zeros((10, 10)) def setUp(self): self.raster = epr.create_raster(self.RASTER_DATA_TYPE, self.RASTER_WIDTH, self.RASTER_HEIGHT) def test_get_width(self): self.assertEqual(self.raster.get_width(), self.RASTER_WIDTH) def test_get_height(self): self.assertEqual(self.raster.get_height(), self.RASTER_HEIGHT) def test_get_elem_size(self): self.assertEqual(self.raster.get_elem_size(), self.RASTER_ELEM_SIZE) def test_get_pixel(self): self.assertAlmostEqual(self.raster.get_pixel(0, 0), self.TEST_DATA[0, 0]) def test_get_pixel_invalid_x(self): self.assertRaises(ValueError, self.raster.get_pixel, -1, 0) self.assertRaises(ValueError, self.raster.get_pixel, self.RASTER_WIDTH + 1, 0) def test_get_pixel_invalid_y(self): self.assertRaises(ValueError, self.raster.get_pixel, 0, -1) self.assertRaises(ValueError, self.raster.get_pixel, 0, self.RASTER_HEIGHT + 1) def test_get_pixel_invalid_coor(self): self.assertRaises(ValueError, self.raster.get_pixel, -1, -1) self.assertRaises(ValueError, self.raster.get_pixel, self.RASTER_WIDTH + 1, self.RASTER_HEIGHT + 1) def test_get_pixel_type(self): self.assertEqual(type(self.raster.get_pixel(0, 0)), float) def test_data_type_property(self): self.assertEqual(self.raster.data_type, self.RASTER_DATA_TYPE) def test_source_width_property(self): self.assertEqual(self.raster.source_width, self.RASTER_WIDTH) self.assertTrue(isinstance(self.raster.source_width, numbers.Integral)) def test_source_height_property(self): self.assertEqual(self.raster.source_height, self.RASTER_HEIGHT) self.assertTrue(isinstance(self.raster.source_height, numbers.Integral)) def test_source_step_x_property(self): self.assertEqual(self.raster.source_step_x, 1) self.assertTrue(isinstance(self.raster.source_step_x, numbers.Integral)) def test_source_step_y_property(self): self.assertEqual(self.raster.source_step_y, 1) self.assertTrue(isinstance(self.raster.source_step_y, numbers.Integral)) def test_data_property(self): height = self.raster.get_height() width = self.raster.get_width() data = self.raster.data self.assertTrue(isinstance(data, np.ndarray)) self.assertEqual(data.ndim, 2) self.assertEqual(data.shape, (height, width)) self.assertEqual(data.dtype, EPR_TO_NUMPY_TYPE[self.raster.data_type]) ny, nx = self.TEST_DATA.shape npt.assert_allclose(data[:ny, :nx], self.TEST_DATA, rtol=self.RTOL) def test_data_property_two_times(self): data1 = self.raster.data data2 = self.raster.data self.assertTrue(data1 is data2) self.assertTrue(np.all(data1 == data2)) def test_data_property_shared_data_semantic(self): data1 = self.raster.data data1[0, 0] *= 2 data2 = self.raster.data self.assertTrue(np.all(data1 == data2)) def test_data_property_data_scope(self): data1 = self.raster.data self.assertTrue(isinstance(data1, np.ndarray)) data1 = None data2 = self.raster.data self.assertTrue(isinstance(data2, np.ndarray)) def test_data_property_raster_scope(self): data = self.raster.data self.assertTrue(isinstance(data, np.ndarray)) self.raster = None self.assertTrue(isinstance(data, np.ndarray)) ny, nx = self.TEST_DATA.shape npt.assert_allclose(data[:ny, :nx], self.TEST_DATA, rtol=self.RTOL) class TestRasterRead(TestRaster): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) BAND_NAME = TestBand.BAND_NAME RASTER_XOFFSET = TestBand.XOFFSET RASTER_YOFFSET = TestBand.YOFFSET TEST_DATA = TestBand.TEST_DATA def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) self.band = self.product.get_band(self.BAND_NAME) self.raster = self.band.create_compatible_raster(self.RASTER_WIDTH, self.RASTER_HEIGHT) self.band.read_raster(self.RASTER_XOFFSET, self.RASTER_YOFFSET, self.raster) def tearDown(self): self.product.close() def test_data_property_shared_semantics_readload(self): data1 = self.raster.data data1[0, 0] *= 2 self.band.read_raster(self.RASTER_XOFFSET, self.RASTER_YOFFSET, self.raster) data2 = self.raster.data self.assertEqual(data1[0, 0], data2[0, 0]) self.assertTrue(np.all(data1 == data2)) class TestAnnotatedRasterRead(TestRasterRead): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) BAND_NAME = TestAnnotationBand.BAND_NAME RASTER_XOFFSET = TestAnnotationBand.XOFFSET RASTER_YOFFSET = TestAnnotationBand.YOFFSET TEST_DATA = TestAnnotationBand.TEST_DATA RTOL = 1e-6 @unittest.skipIf(EPR_C_BUG_PYEPR009, 'buggy EPR_C_API detected') def test_get_pixel(self): super(TestAnnotatedRasterRead, self).test_get_pixel() @unittest.skipIf(EPR_C_BUG_PYEPR009, 'buggy EPR_C_API detected') def test_data_property(self): super(TestAnnotatedRasterRead, self).test_data_property() @unittest.skipIf(EPR_C_BUG_PYEPR009, 'buggy EPR_C_API detected') def test_data_property_raster_scope(self): super(TestAnnotatedRasterRead, self).test_data_property_raster_scope() class TestRasterHighLevelAPI(unittest.TestCase): RASTER_WIDTH = 400 RASTER_HEIGHT = 300 RASTER_DATA_TYPE = epr.E_TID_FLOAT def setUp(self): self.raster = epr.create_raster(self.RASTER_DATA_TYPE, self.RASTER_WIDTH, self.RASTER_HEIGHT) def test_repr(self): pattern = (r' (?P\w+) ' r'\((?P\d+)L x (?P\d+)P\)') mobj = re.match(pattern, repr(self.raster)) self.assertNotEqual(mobj, None) self.assertEqual(mobj.group('data_type'), epr.data_type_id_to_str(self.raster.data_type)) self.assertEqual(mobj.group('lines'), str(self.raster.get_height())) self.assertEqual(mobj.group('pixels'), str(self.raster.get_width())) def test_repr_type(self): self.assertTrue(isinstance(repr(self.raster), str)) def test_str_type(self): self.assertTrue(isinstance(str(self.raster), str)) class TestRasterLowLevelAPI(unittest.TestCase): RASTER_WIDTH = 400 RASTER_HEIGHT = 300 RASTER_DATA_TYPE = epr.E_TID_FLOAT def setUp(self): self.raster = epr.create_raster(self.RASTER_DATA_TYPE, self.RASTER_WIDTH, self.RASTER_HEIGHT) def test_magic(self): self.assertEqual(self.raster._magic, epr._EPR_MAGIC_RASTER) class TestRecord(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) OPEN_MODE = 'rb' DATASET_NAME = 'MDS1_SQ_ADS' NUM_FIELD = 39 FIELD_NAME = 'input_missing_lines_flag' TOT_SIZE = 170 RECORD_INDEX = 0 def setUp(self): self.product = epr.Product(self.PRODUCT_FILE, self.OPEN_MODE) self.dataset = self.product.get_dataset(self.DATASET_NAME) self.record = self.dataset.read_record(self.RECORD_INDEX) def tearDown(self): self.product.close() def test_get_num_fields(self): self.assertEqual(self.record.get_num_fields(), self.NUM_FIELD) @quiet def test_print(self): self.record.print() @quiet def test_print_ostream(self): self.record.print(sys.stderr) def test_print_invalid_ostream(self): self.assertRaises(TypeError, self.record.print, 'invalid') @quiet def test_print_element(self): self.record.print_element(3, 0) @quiet def test_print_element_ostream(self): self.record.print_element(0, 0, sys.stderr) def test_print_element_invalid_ostream(self): self.assertRaises(TypeError, self.record.print_element, 0, 0, 'invalid') @quiet # quiet avoids errors when sys.stderr does not have fileno def test_print_element_field_out_of_range(self): index = self.record.get_num_fields() + 10 self.assertRaises(ValueError, self.record.print_element, index, 0) @quiet # quiet avoids errors when sys.stderr does not have fileno def test_print_element_element_out_of_range(self): self.assertRaises(ValueError, self.record.print_element, 0, 150) def test_get_field(self): field = self.record.get_field(self.FIELD_NAME) self.assertTrue(isinstance(field, epr.Field)) def test_get_field_bytes(self): field_name = self.FIELD_NAME.encode('UTF-8') field = self.record.get_field(self.FIELD_NAME) self.assertTrue(isinstance(field_name, bytes)) self.assertTrue(isinstance(field, epr.Field)) def test_get_field_invlid_name(self): self.assertRaises(ValueError, self.record.get_field, '') def test_get_field_at(self): self.assertTrue(isinstance(self.record.get_field_at(0), epr.Field)) def test_get_field_at_invalid_index(self): index = self.record.get_num_fields() + 10 self.assertRaises(ValueError, self.record.get_field_at, index) def test_dataset_name(self): self.assertEqual(self.record.dataset_name, self.DATASET_NAME) def test_dataset_name_new(self): record = self.dataset.create_record() self.assertEqual(record.dataset_name, self.DATASET_NAME) def test_tot_size(self): self.assertEqual(self.record.tot_size, self.TOT_SIZE) def test_index(self): self.assertEqual(self.record.index, self.RECORD_INDEX) class TestRecordRW(TestRecord): OPEN_MODE = 'rb+' class TestRecordHighLevelAPI(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_NAME = TestRecord.DATASET_NAME FIELD_NAMES = [ 'zero_doppler_time', 'attach_flag', 'input_mean_flag', 'input_std_dev_flag', 'input_gaps_flag', 'input_missing_lines_flag', 'dop_cen_flag', 'dop_amb_flag', 'output_mean_flag', 'output_std_dev_flag', 'chirp_flag', 'missing_data_sets_flag', 'invalid_downlink_flag', 'spare_1', 'thresh_chirp_broadening', 'thresh_chirp_sidelobe', 'thresh_chirp_islr', 'thresh_input_mean', 'exp_input_mean', 'thresh_input_std_dev', 'exp_input_std_dev', 'thresh_dop_cen', 'thresh_dop_amb', 'thresh_output_mean', 'exp_output_mean', 'thresh_output_std_dev', 'exp_output_std_dev', 'thresh_input_missing_lines', 'thresh_input_gaps', 'lines_per_gaps', 'spare_2', 'input_mean', 'input_std_dev', 'num_gaps', 'num_missing_lines', 'output_mean', 'output_std_dev', 'tot_errors', 'Spare_3', ] def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) self.dataset = self.product.get_dataset(self.DATASET_NAME) self.record = self.dataset.read_record(0) def tearDown(self): self.product.close() def test_get_field_names_number(self): self.assertEqual(len(self.record.get_field_names()), self.record.get_num_fields()) def test_get_field_names(self): self.assertEqual(self.record.get_field_names()[:len(self.FIELD_NAMES)], self.FIELD_NAMES) def test_fields(self): fields = self.record.fields() self.assertTrue(fields) self.assertEqual(len(fields), self.record.get_num_fields()) names = [field.get_name() for field in fields] self.assertEqual(self.record.get_field_names(), names) def test_iter(self): index = 0 for field in self.record: ref_field = self.record.get_field_at(index) self.assertEqual(field.get_name(), ref_field.get_name()) index += 1 self.assertEqual(index, self.record.get_num_fields()) def test_repr_type(self): self.assertTrue(isinstance(repr(self.record), str)) def test_str_type(self): self.assertTrue(isinstance(str(self.record), str)) class TestRecordLowLevelAPI(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) RECORD_INDEX = 0 RECORD_SIZE = 170 RECORD_OFFSET = RECORD_INDEX * RECORD_SIZE def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) dataset = self.product.get_dataset_at(0) self.record = dataset.read_record(self.RECORD_INDEX) def tearDown(self): self.product.close() def test_magic(self): self.assertEqual(self.record._magic, epr._EPR_MAGIC_RECORD) def test_get_offset(self): self.assertEqual(self.record.get_offset(), self.RECORD_OFFSET) class TestMultipleRecordsHighLevelAPI(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_NAME = TestProduct.DATASET_NAME def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) self.dataset = self.product.get_dataset(self.DATASET_NAME) def tearDown(self): self.product.close() def test_repr(self): pattern = r' (?P\d+) fields' for record in self.dataset: mobj = re.match(pattern, repr(record)) self.assertNotEqual(mobj, None) self.assertEqual(mobj.group('num'), str(record.get_num_fields())) def test_str_vs_print(self): for record in self.dataset: with tempfile.TemporaryFile('w+') as fd: record.print(fd) fd.flush() fd.seek(0) data = fd.read() if data.endswith('\n'): data = data[:-1] self.assertEqual(data, str(record)) class TestMphRecordHighLevelAPI(TestRecordHighLevelAPI): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_NAME = 'MPH' FIELD_NAMES = [ 'PRODUCT', 'PROC_STAGE', 'REF_DOC', 'ACQUISITION_STATION', 'PROC_CENTER', 'PROC_TIME', 'SOFTWARE_VER', 'SENSING_START', 'SENSING_STOP', 'PHASE', 'CYCLE', 'REL_ORBIT', ] def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) self.record = self.product.get_mph() def tearDown(self): self.product.close() def test_index(self): self.assertEqual(self.record.index, None) class TestRecordOnClosedProduct(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_NAME = 'MDS1_SQ_ADS' NUM_FIELD = 39 FIELD_NAME = 'input_missing_lines_flag' FIELD_NAMES = TestRecordHighLevelAPI.FIELD_NAMES def setUp(self): product = epr.Product(self.PRODUCT_FILE) dataset = product.get_dataset(self.DATASET_NAME) self.record = dataset.read_record(0) # self.mph = product.get_mph() product.close() def test_get_num_fields(self): self.assertEqual(self.record.get_num_fields(), self.NUM_FIELD) # def test_get_num_fields_mph(self): # self.assertEqual(self.mph.get_num_fields(), 34) def test_print(self): self.assertRaises(ValueError, self.record.print) def test_print_element(self): self.assertRaises(ValueError, self.record.print_element, 3, 0) def test_get_field(self): self.assertRaises(ValueError, self.record.get_field, self.FIELD_NAME) def test_get_field_at(self): self.assertRaises(ValueError, self.record.get_field_at, 0) def test_get_field_names(self): self.assertRaises(ValueError, self.record.get_field_names) def test_fields(self): self.assertRaises(ValueError, self.record.fields) def test_iter(self): self.assertRaises(ValueError, iter, self.record) def test_repr(self): self.assertRaises(ValueError, repr, self.record) def test_str(self): self.assertRaises(ValueError, str, self.record) class TestField(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) OPEN_MODE = 'rb' DATASET_NAME = 'MDS1_SQ_ADS' RECORD_INDEX = 0 FIELD_NAME = 'input_missing_lines_flag' FIELD_DESCRIPTION = ( 'Missing lines significant flag. ' '0 = percentage of missing lines <= threshold value ' '1 = percentage of missing lines > threshold value. ' 'The number of missing lines is the number of lines missing from ' 'the input data excluding data gaps.' ) FIELD_TYPE = epr.E_TID_UCHAR # FIELD_TYPE_NAME = 'uchar' FIELD_NUM_ELEMS = 1 FIELD_VALUES = (0,) FIELD_UNIT = 'flag' FIELD_OFFSET = 16 def setUp(self): self.product = epr.Product(self.PRODUCT_FILE, self.OPEN_MODE) dataset = self.product.get_dataset(self.DATASET_NAME) record = dataset.read_record(self.RECORD_INDEX) self.field = record.get_field(self.FIELD_NAME) def tearDown(self): self.product.close() @quiet def test_print_field(self): self.field.print() @quiet def test_print_field_ostream(self): self.field.print(sys.stderr) def test_print_fied_invalid_ostream(self): self.assertRaises(TypeError, self.field.print, 'invalid') def test_get_unit(self): self.assertEqual(self.field.get_unit(), self.FIELD_UNIT) def test_get_description(self): self.assertEqual(self.field.get_description(), self.FIELD_DESCRIPTION) def test_get_num_elems(self): self.assertEqual(self.field.get_num_elems(), self.FIELD_NUM_ELEMS) def test_get_name(self): self.assertEqual(self.field.get_name(), self.FIELD_NAME) def test_get_type(self): self.assertEqual(self.field.get_type(), self.FIELD_TYPE) def test_get_offset(self): self.assertEqual(self.field.get_offset(), self.FIELD_OFFSET) def test_get_elem(self): self.assertEqual(self.field.get_elem(), self.FIELD_VALUES[0]) def test_get_elem_index(self): self.assertEqual(self.field.get_elem(0), self.FIELD_VALUES[0]) def test_get_elem_invalid_index(self): self.assertRaises(ValueError, self.field.get_elem, self.FIELD_NUM_ELEMS + 10) def test_get_elems(self): vect = self.field.get_elems() self.assertTrue(isinstance(vect, np.ndarray)) self.assertEqual(vect.shape, (self.field.get_num_elems(),)) self.assertEqual(vect.dtype, epr.get_numpy_dtype(self.FIELD_TYPE)) npt.assert_allclose(vect[:len(self.FIELD_VALUES)], self.FIELD_VALUES) def test_tot_size(self): elem_size = epr.get_data_type_size(self.FIELD_TYPE) tot_size = elem_size * self.FIELD_NUM_ELEMS self.assertEqual(self.field.tot_size, tot_size) class TestFieldRW(TestField): OPEN_MODE = 'rb+' class TestFieldWriteOnReadOnly(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) OPEN_MODE = 'rb' DATASET_NAME = 'MDS1' RECORD_INDEX = 10 FIELD_NAME = 'proc_data' FIELD_DESCRIPTION = 'SAR Processed Data. Real samples (detected products)' FIELD_TYPE = epr.E_TID_USHORT FIELD_TYPE_NAME = 'ushort' FIELD_UNIT = '' FIELD_NUM_ELEMS = 1452 def setUp(self): self.filename = self.PRODUCT_FILE + '_' shutil.copy(self.PRODUCT_FILE, self.filename) self.product = epr.Product(self.filename, self.OPEN_MODE) dataset = self.product.get_dataset(self.DATASET_NAME) record = dataset.read_record(self.RECORD_INDEX) self.field = record.get_field(self.FIELD_NAME) def tearDown(self): self.product.close() os.unlink(self.filename) def test_write_on_read_only_product(self): value = self.field.get_elem() + 10 self.assertRaises(TypeError, self.field.set_elem, value) class TestFieldWrite(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) OPEN_MODE = 'rb+' REOPEN = False DATASET_NAME = 'MDS1' RECORD_INDEX = 100 FIELD_NAME = 'proc_data' FIELD_DESCRIPTION = 'SAR Processed Data. Real samples (detected products)' FIELD_TYPE = epr.E_TID_USHORT FIELD_TYPE_NAME = 'ushort' FIELD_UNIT = '' FIELD_INDEX = 3 FIELD_NUM_ELEMS = 1452 FIELD_VALUES = ( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2417, 2282, 2280, 2393, 2440, 2697, 3119, 3577, 3853, 3688, 3784, 4201, 3846, 2821, 2186, ) def setUp(self): self.filename = self.PRODUCT_FILE + '_' shutil.copy(self.PRODUCT_FILE, self.filename) self.product = None self.dataset = None self.record = None self.field = None self.reopen(self.OPEN_MODE) self.offset = self._get_offset() def _get_offset(self): offset = self.dataset.get_dsd().ds_offset offset += self.record.index * self.record.tot_size for i in range(self.FIELD_INDEX): offset += self.record.get_field_at(i).tot_size return offset def tearDown(self): self.product.close() os.unlink(self.filename) def reopen(self, mode='rb'): if self.product is not None: self.product.close() self.product = epr.Product(self.filename, mode) self.dataset = self.product.get_dataset(self.DATASET_NAME) self.record = self.dataset.read_record(self.RECORD_INDEX) self.field = self.record.get_field(self.FIELD_NAME) def read(self, offset=0, size=None): if size is None: size = self.field.tot_size os.lseek(self.product._fileno, self.offset + offset, os.SEEK_SET) return os.read(self.product._fileno, size) def test_set_elem_metadata(self): self.assertEqual(self.field.get_description(), self.FIELD_DESCRIPTION) self.assertEqual(self.field.get_num_elems(), self.FIELD_NUM_ELEMS) self.assertEqual(self.field.get_type(), self.FIELD_TYPE) self.assertEqual(epr.data_type_id_to_str(self.field.get_type()), self.FIELD_TYPE_NAME) self.assertEqual(self.field.get_unit(), self.FIELD_UNIT) value = self.field.get_elem() + 10 self.field.set_elem(value) if self.REOPEN: self.reopen() else: self.product.flush() self.assertEqual(self.field.get_description(), self.FIELD_DESCRIPTION) self.assertEqual(self.field.get_num_elems(), self.FIELD_NUM_ELEMS) self.assertEqual(self.field.get_type(), self.FIELD_TYPE) self.assertEqual(epr.data_type_id_to_str(self.field.get_type()), self.FIELD_TYPE_NAME) self.assertEqual(self.field.get_unit(), self.FIELD_UNIT) def test_set_elem_data(self): npt.assert_array_equal( self.field.get_elems()[:len(self.FIELD_VALUES)], self.FIELD_VALUES) self.assertEqual(self.field.get_elem(), self.FIELD_VALUES[0]) value = self.field.get_elem() + 10 self.field.set_elem(value) if self.REOPEN: self.reopen() else: self.product.flush() self.assertEqual(self.field.get_elem(), value) values = np.array(self.FIELD_VALUES) values[0] = value npt.assert_array_equal( self.field.get_elems()[:len(self.FIELD_VALUES)], values) def test_set_elem_rawdata(self): orig_data = self.read() value = self.field.get_elem() + 10 self.field.set_elem(value) if self.REOPEN: self.reopen() else: self.product.flush() data = self.read() self.assertNotEqual(data, orig_data) dtype = np.dtype(epr.get_numpy_dtype(self.FIELD_TYPE)) if dtype.byteorder != '>': dtype = dtype.newbyteorder() data = np.frombuffer(data, dtype) orig_data = np.frombuffer(orig_data, dtype).copy() orig_data[0] = value npt.assert_array_equal(data, orig_data) def test_set_elem0_metadata(self): self.assertEqual(self.field.get_description(), self.FIELD_DESCRIPTION) self.assertEqual(self.field.get_num_elems(), self.FIELD_NUM_ELEMS) self.assertEqual(self.field.get_type(), self.FIELD_TYPE) self.assertEqual(epr.data_type_id_to_str(self.field.get_type()), self.FIELD_TYPE_NAME) self.assertEqual(self.field.get_unit(), self.FIELD_UNIT) value = self.field.get_elem(0) + 10 self.field.set_elem(value) if self.REOPEN: self.reopen() else: self.product.flush() self.assertEqual(self.field.get_description(), self.FIELD_DESCRIPTION) self.assertEqual(self.field.get_num_elems(), self.FIELD_NUM_ELEMS) self.assertEqual(self.field.get_type(), self.FIELD_TYPE) self.assertEqual(epr.data_type_id_to_str(self.field.get_type()), self.FIELD_TYPE_NAME) self.assertEqual(self.field.get_unit(), self.FIELD_UNIT) def test_set_elem0_data(self): npt.assert_array_equal( self.field.get_elems()[:len(self.FIELD_VALUES)], self.FIELD_VALUES) self.assertEqual(self.field.get_elem(0), self.FIELD_VALUES[0]) value = self.field.get_elem(0) + 10 self.field.set_elem(value) if self.REOPEN: self.reopen() else: self.product.flush() self.assertEqual(self.field.get_elem(0), value) values = np.array(self.FIELD_VALUES) values[0] = value npt.assert_array_equal( self.field.get_elems()[:len(self.FIELD_VALUES)], values) def test_set_elem0_rawdata(self): orig_data = self.read() value = self.field.get_elem(0) + 10 self.field.set_elem(value) if self.REOPEN: self.reopen() else: self.product.flush() data = self.read() self.assertNotEqual(data, orig_data) dtype = np.dtype(epr.get_numpy_dtype(self.FIELD_TYPE)) if dtype.byteorder != '>': dtype = dtype.newbyteorder() data = np.frombuffer(data, dtype) orig_data = np.frombuffer(orig_data, dtype).copy() orig_data[0] = value npt.assert_array_equal(data, orig_data) def test_set_elem20_metadata(self): self.assertEqual(self.field.get_description(), self.FIELD_DESCRIPTION) self.assertEqual(self.field.get_num_elems(), self.FIELD_NUM_ELEMS) self.assertEqual(self.field.get_type(), self.FIELD_TYPE) self.assertEqual(epr.data_type_id_to_str(self.field.get_type()), self.FIELD_TYPE_NAME) self.assertEqual(self.field.get_unit(), self.FIELD_UNIT) value = self.field.get_elem(20) + 1 self.field.set_elem(value, 20) if self.REOPEN: self.reopen() else: self.product.flush() self.assertEqual(self.field.get_description(), self.FIELD_DESCRIPTION) self.assertEqual(self.field.get_num_elems(), self.FIELD_NUM_ELEMS) self.assertEqual(self.field.get_type(), self.FIELD_TYPE) self.assertEqual(epr.data_type_id_to_str(self.field.get_type()), self.FIELD_TYPE_NAME) self.assertEqual(self.field.get_unit(), self.FIELD_UNIT) def test_set_elem20_data(self): npt.assert_array_equal( self.field.get_elems()[:len(self.FIELD_VALUES)], self.FIELD_VALUES) self.assertEqual(self.field.get_elem(20), self.FIELD_VALUES[20]) value = self.field.get_elem(20) + 1 self.field.set_elem(value, 20) if self.REOPEN: self.reopen() else: self.product.flush() self.assertEqual(self.field.get_elem(20), value) values = np.array(self.FIELD_VALUES) values[20] = value npt.assert_array_equal( self.field.get_elems()[:len(self.FIELD_VALUES)], values) def test_set_elem20_rawdata(self): orig_data = self.read() value = self.field.get_elem(20) + 1 self.field.set_elem(value, 20) if self.REOPEN: self.reopen() else: self.product.flush() data = self.read() self.assertNotEqual(data, orig_data) dtype = np.dtype(epr.get_numpy_dtype(self.FIELD_TYPE)) if dtype.byteorder != '>': dtype = dtype.newbyteorder() data = np.frombuffer(data, dtype) orig_data = np.frombuffer(orig_data, dtype).copy() orig_data[20] = value npt.assert_array_equal(data, orig_data) def test_set_elems_metadata(self): self.assertEqual(self.field.get_description(), self.FIELD_DESCRIPTION) self.assertEqual(self.field.get_num_elems(), self.FIELD_NUM_ELEMS) self.assertEqual(self.field.get_type(), self.FIELD_TYPE) self.assertEqual(epr.data_type_id_to_str(self.field.get_type()), self.FIELD_TYPE_NAME) self.assertEqual(self.field.get_unit(), self.FIELD_UNIT) values = self.field.get_elems() + 1 self.field.set_elems(values) if self.REOPEN: self.reopen() else: self.product.flush() self.assertEqual(self.field.get_description(), self.FIELD_DESCRIPTION) self.assertEqual(self.field.get_num_elems(), self.FIELD_NUM_ELEMS) self.assertEqual(self.field.get_type(), self.FIELD_TYPE) self.assertEqual(epr.data_type_id_to_str(self.field.get_type()), self.FIELD_TYPE_NAME) self.assertEqual(self.field.get_unit(), self.FIELD_UNIT) def test_set_elems_data(self): npt.assert_array_equal( self.field.get_elems()[:len(self.FIELD_VALUES)], self.FIELD_VALUES) values = self.field.get_elems() + 1 self.field.set_elems(values) if self.REOPEN: self.reopen() else: self.product.flush() npt.assert_array_equal(self.field.get_elems(), values) def test_set_elems_rawdata(self): orig_data = self.read() values = self.field.get_elems() + 1 self.field.set_elems(values) if self.REOPEN: self.reopen() else: self.product.flush() data = self.read() self.assertNotEqual(data, orig_data) dtype = np.dtype(epr.get_numpy_dtype(self.FIELD_TYPE)) if dtype.byteorder != '>': dtype = dtype.newbyteorder() data = np.frombuffer(data, dtype) orig_data = np.frombuffer(orig_data, dtype).copy() orig_data += 1 npt.assert_array_equal(data, orig_data) def test_set_mph_elem(self): mph = self.product.get_mph() field = mph.get_field_at(3) self.assertRaises(NotImplementedError, field.set_elem, 5) class TestFieldWriteReopen(TestFieldWrite): REOPEN = True class TestTimeField(TestField): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_NAME = 'MDS1_SQ_ADS' FIELD_NAME = 'zero_doppler_time' FIELD_DESCRIPTION = 'Zero doppler time at which SQ information applies' FIELD_TYPE = epr.E_TID_TIME FIELD_TYPE_NAME = 'time' FIELD_NUM_ELEMS = 1 FIELD_VALUES = ( epr.EPRTime(days=3567, seconds=10588, microseconds=239091), ) FIELD_UNIT = 'MJD' FIELD_OFFSET = 0 def test_get_elems(self): vect = self.field.get_elems() self.assertTrue(isinstance(vect, np.ndarray)) self.assertEqual(vect.shape, (self.field.get_num_elems(),)) self.assertEqual(vect.dtype, epr.MJD) value = self.FIELD_VALUES[0] self.assertEqual(vect[0]['days'], value.days) self.assertEqual(vect[0]['seconds'], value.seconds) self.assertEqual(vect[0]['microseconds'], value.microseconds) class TestFieldWithMiltipleElems(TestField): DATASET_NAME = TestProduct.DATASET_NAME RECORD_INDEX = TestFieldWrite.RECORD_INDEX FIELD_NAME = 'proc_data' FIELD_DESCRIPTION = 'SAR Processed Data. Real samples (detected products)' FIELD_TYPE = epr.E_TID_USHORT FIELD_TYPE_NAME = 'ushort' FIELD_NUM_ELEMS = 1452 FIELD_VALUES = TestFieldWrite.FIELD_VALUES FIELD_UNIT = '' FIELD_OFFSET = 17 class TestFieldHighLevelAPI(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_NAME = TestProduct.DATASET_NAME def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) dataset = self.product.get_dataset(self.DATASET_NAME) self.record = dataset.read_record(0) def tearDown(self): self.product.close() def test_repr(self): pattern = (r'epr\.Field\("(?P.+)"\) (?P\d+) ' r'(?P\w+) elements') for field in self.record: mobj = re.match(pattern, repr(field)) self.assertNotEqual(mobj, None) self.assertEqual(mobj.group('name'), field.get_name()) self.assertEqual(mobj.group('num'), str(field.get_num_elems())) self.assertEqual(mobj.group('type'), epr.data_type_id_to_str(field.get_type())) def test_repr_type(self): field = self.record.get_field_at(0) self.assertTrue(isinstance(repr(field), str)) def test_str_type(self): field = self.record.get_field_at(0) self.assertTrue(isinstance(str(field), str)) def test_str_vs_print(self): for field in self.record: with tempfile.TemporaryFile('w+') as fd: field.print(fd) fd.flush() fd.seek(0) data = fd.read() if data.endswith('\n'): data = data[:-1] self.assertEqual(data, str(field)) def test_eq_field1_field1(self): field = self.record.get_field_at(0) self.assertEqual(field, field) def test_eq_field1_field2(self): field1 = self.record.get_field_at(1) field2 = self.record.get_field_at(2) self.assertFalse(field1 == field2) def test_eq_field_record(self): field = self.record.get_field_at(0) self.assertFalse(field == self.record) def test_ne_field1_field1(self): field = self.record.get_field_at(0) self.assertFalse(field != field) def test_ne_field1_field2(self): field1 = self.record.get_field_at(1) field2 = self.record.get_field_at(2) self.assertNotEqual(field1, field2) def test_ne_field_record(self): field = self.record.get_field_at(0) self.assertNotEqual(field, self.record) class TestFieldHighLevelAPI2(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_NAME = 'MAIN_PROCESSING_PARAMS_ADS' RECORD_INDEX = 0 def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) def tearDown(self): self.product.close() def test_len_1(self): dataset = self.product.get_dataset(self.DATASET_NAME) record = dataset.read_record(self.RECORD_INDEX) field = record.get_field('range_spacing') self.assertEqual(len(field), field.get_num_elems()) def test_len_x(self): dataset = self.product.get_dataset(self.DATASET_NAME) record = dataset.read_record(self.RECORD_INDEX) field = record.get_field('image_parameters.prf_value') self.assertEqual(len(field), field.get_num_elems()) def test_len_e_tid_unknown(self): dataset = self.product.get_dataset(self.DATASET_NAME) record = dataset.read_record(self.RECORD_INDEX) field = record.get_field('spare_1') self.assertEqual(len(field), field.get_num_elems()) def test_len_e_tid_string(self): dataset = self.product.get_dataset(self.DATASET_NAME) record = dataset.read_record(self.RECORD_INDEX) field = record.get_field('swath_id') self.assertEqual(len(field), len(field.get_elem())) class TestFieldLowLevelAPI(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_INDEX = 0 RECORD_INDEX = 0 FIELD_NAME = 'invalid_downlink_flag' FIELD_OFFSET = 23 def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) dataset = self.product.get_dataset_at(self.DATASET_INDEX) record = dataset.read_record(self.RECORD_INDEX) self.field = record.get_field(self.FIELD_NAME) def tearDown(self): self.product.close() def test_magic(self): self.assertEqual(self.field._magic, epr._EPR_MAGIC_FIELD) def test_get_offset(self): self.assertEqual(self.field.get_offset(), self.FIELD_OFFSET) class TestFieldOnClosedProduct(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DATASET_NAME = 'MDS1_SQ_ADS' RECOSR_INDEX = 0 FIELD_NAME = 'invalid_downlink_flag' FIELD_NAME2 = 'zero_doppler_time' def setUp(self): product = epr.Product(self.PRODUCT_FILE) dataset = product.get_dataset(self.DATASET_NAME) self.record = dataset.read_record(self.RECOSR_INDEX) self.field = self.record.get_field(self.FIELD_NAME) self.field2 = self.record.get_field(self.FIELD_NAME2) product.close() def test_print_field(self): self.assertRaises(ValueError, self.field.print) def test_get_unit(self): self.assertRaises(ValueError, self.field.get_unit) def test_get_description(self): self.assertRaises(ValueError, self.field.get_description) def test_get_num_elems(self): self.assertRaises(ValueError, self.field.get_num_elems) def test_get_name(self): self.assertRaises(ValueError, self.field.get_name) def test_get_type(self): self.assertRaises(ValueError, self.field.get_type) def test_get_elem(self): self.assertRaises(ValueError, self.field.get_elem) def test_get_elems(self): self.assertRaises(ValueError, self.field.get_elems) def test_repr(self): self.assertRaises(ValueError, repr, self.field) def test_str(self): self.assertRaises(ValueError, str, self.field) def test_eq(self): self.assertRaises(ValueError, operator.eq, self.field, self.field2) def test_ne(self): self.assertRaises(ValueError, operator.ne, self.field, self.field2) def test_len(self): self.assertRaises(ValueError, len, self.field) class TestDSD(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) OPEN_MODE = 'rb' DSD_INDEX = 0 DS_NAME = 'MDS1 SQ ADS' DS_OFFSET = 7346 DS_TYPE = 'A' DS_SIZE = 170 DSR_SIZE = 170 NUM_DSR = 1 def setUp(self): self.product = epr.Product(self.PRODUCT_FILE, self.OPEN_MODE) self.dsd = self.product.get_dsd_at(self.DSD_INDEX) def tearDown(self): self.product.close() def test_index(self): self.assertEqual(self.dsd.index, self.DSD_INDEX) self.assertTrue(isinstance(self.dsd.index, int)) def test_ds_name(self): self.assertEqual(self.dsd.ds_name, self.DS_NAME) self.assertTrue(isinstance(self.dsd.ds_name, str)) def test_ds_type(self): self.assertEqual(self.dsd.ds_type, self.DS_TYPE) self.assertTrue(isinstance(self.dsd.ds_type, str)) def test_filename(self): self.assertEqual(self.dsd.filename, '') self.assertTrue(isinstance(self.dsd.filename, str)) def test_ds_offset(self): self.assertEqual(self.dsd.ds_offset, self.DS_OFFSET) self.assertTrue(isinstance(self.dsd.ds_offset, numbers.Integral)) def test_ds_size(self): self.assertEqual(self.dsd.ds_size, self.DS_SIZE) self.assertTrue(isinstance(self.dsd.ds_size, numbers.Integral)) def test_num_dsr(self): self.assertEqual(self.dsd.num_dsr, self.NUM_DSR) self.assertTrue(isinstance(self.dsd.num_dsr, numbers.Integral)) def test_dsr_size(self): self.assertEqual(self.dsd.dsr_size, self.DSR_SIZE) self.assertTrue(isinstance(self.dsd.dsr_size, numbers.Integral)) def test_eq_dsd1_dsd1(self): self.assertEqual(self.dsd, self.dsd) def test_eq_dsd1_dsd2(self): dsd1 = self.product.get_dsd_at(1) dsd2 = self.product.get_dsd_at(2) self.assertFalse(dsd1 == dsd2) def test_eq_dsd_product(self): self.assertFalse(self.dsd == self.product) def test_ne_dsd1_dsd1(self): self.assertFalse(self.dsd != self.dsd) def test_ne_dsd1_dsd2(self): dsd1 = self.product.get_dsd_at(1) dsd2 = self.product.get_dsd_at(2) self.assertNotEqual(dsd1, dsd2) def test_ne_dsd_record(self): self.assertTrue(self.dsd != self.product) class TestDSDRW(TestDSD): OPEN_MODE = 'rb+' class TestDsdHighLevelAPI(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) self.dsd = self.product.get_dsd_at(0) def tearDown(self): self.product.close() def test_repr(self): pattern = r'epr\.DSD\("(?P.+)"\)' mobj = re.match(pattern, repr(self.dsd)) self.assertNotEqual(mobj, None) self.assertEqual(mobj.group('name'), self.dsd.ds_name) def test_repr_type(self): self.assertTrue(isinstance(repr(self.dsd), str)) def test_str_type(self): self.assertTrue(isinstance(str(self.dsd), str)) class TestDsdLowLevelAPI(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) self.dsd = self.product.get_dsd_at(0) def tearDown(self): self.product.close() def test_magic(self): # self.assertEqual(self.dsd._magic, epr._EPR_MAGIC_DSD_ID) self.assertTrue(isinstance(self.dsd._magic, int)) class TestDSDOnCloserProduct(unittest.TestCase): PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) DSD_INDEX = 0 def setUp(self): self.product = epr.Product(self.PRODUCT_FILE) self.dsd = self.product.get_dsd_at(self.DSD_INDEX) self.dsd2 = self.product.get_dsd_at(self.DSD_INDEX + 1) self.product.close() def test_index(self): self.assertRaises(ValueError, getattr, self.dsd, 'index') def test_ds_name(self): self.assertRaises(ValueError, getattr, self.dsd, 'ds_name') def test_ds_type(self): self.assertRaises(ValueError, getattr, self.dsd, 'ds_type') def test_filename(self): self.assertRaises(ValueError, getattr, self.dsd, 'filename') def test_ds_offset(self): self.assertRaises(ValueError, getattr, self.dsd, 'ds_offset') def test_ds_size(self): self.assertRaises(ValueError, getattr, self.dsd, 'ds_size') def test_num_dsr(self): self.assertRaises(ValueError, getattr, self.dsd, 'num_dsr') def test_dsr_size(self): self.assertRaises(ValueError, getattr, self.dsd, 'dsr_size') def test_eq(self): self.assertRaises(ValueError, operator.eq, self.dsd, self.dsd2) def test_ne(self): self.assertRaises(ValueError, operator.ne, self.dsd, self.dsd2) def test_repr(self): self.assertRaises(ValueError, repr, self.dsd) def test_str(self): self.assertRaises(ValueError, str, self.dsd) class TestDataypeFunctions(unittest.TestCase): TYPE_NAMES = { epr.E_TID_UNKNOWN: '', epr.E_TID_UCHAR: 'uchar', epr.E_TID_CHAR: 'char', epr.E_TID_USHORT: 'ushort', epr.E_TID_SHORT: 'short', epr.E_TID_UINT: 'uint', epr.E_TID_INT: 'int', epr.E_TID_FLOAT: 'float', epr.E_TID_DOUBLE: 'double', epr.E_TID_STRING: 'string', epr.E_TID_SPARE: 'spare', epr.E_TID_TIME: 'time', } TYPE_SIZES = { epr.E_TID_UNKNOWN: 0, epr.E_TID_UCHAR: 1, epr.E_TID_CHAR: 1, epr.E_TID_USHORT: 2, epr.E_TID_SHORT: 2, epr.E_TID_UINT: 4, epr.E_TID_INT: 4, epr.E_TID_FLOAT: 4, epr.E_TID_DOUBLE: 8, epr.E_TID_STRING: 1, epr.E_TID_SPARE: 1, epr.E_TID_TIME: 12, } TYPE_MAP = { epr.E_TID_UNKNOWN: None, epr.E_TID_UCHAR: np.uint8, epr.E_TID_CHAR: np.int8, epr.E_TID_USHORT: np.uint16, epr.E_TID_SHORT: np.int16, epr.E_TID_UINT: np.uint32, epr.E_TID_INT: np.int32, epr.E_TID_FLOAT: np.float32, epr.E_TID_DOUBLE: np.float64, epr.E_TID_STRING: np.bytes_, epr.E_TID_SPARE: None, epr.E_TID_TIME: epr.MJD, } def test_data_type_id_to_str(self): for type_id, type_name in self.TYPE_NAMES.items(): self.assertEqual(epr.data_type_id_to_str(type_id), type_name) def test_data_type_id_to_str_invalid(self): self.assertEqual(epr.data_type_id_to_str(500), '') def test_get_data_type_size(self): for type_id, type_size in self.TYPE_SIZES.items(): self.assertEqual(epr.get_data_type_size(type_id), type_size) def test_get_data_type_size_invalid(self): self.assertEqual(epr.get_data_type_size(500), 0) def test_epr_to_numpy_dtype(self): for epr_type in self.TYPE_MAP: with self.subTest(epr_type=epr_type): self.assertEqual( epr.get_numpy_dtype(epr_type), self.TYPE_MAP[epr_type]) class TestScalingMethodFunctions(unittest.TestCase): METHOD_NAMES = { epr.E_SMID_NON: 'NONE', epr.E_SMID_LIN: 'LIN', epr.E_SMID_LOG: 'LOG', } def test_get_scaling_method_name(self): for id_, name in self.METHOD_NAMES.items(): self.assertEqual(epr.get_scaling_method_name(id_), name) def test_get_scaling_method_name_invalid(self): self.assertRaises(ValueError, epr.get_scaling_method_name, 500) class TestSampleModelFunctions(unittest.TestCase): MODEL_NAMES = { epr.E_SMOD_1OF1: '1OF1', epr.E_SMOD_1OF2: '1OF2', epr.E_SMOD_2OF2: '2OF2', epr.E_SMOD_3TOI: '3TOI', epr.E_SMOD_2TOF: '2TOF', } def test_get_scaling_method_name(self): for id_, name in self.MODEL_NAMES.items(): self.assertEqual(epr.get_sample_model_name(id_), name) def test_get_scaling_method_name_invalid(self): self.assertRaises(ValueError, epr.get_sample_model_name, 500) class TestDirectInstantiation(unittest.TestCase): MSG_PATTERN = '"%s" class cannot be instantiated from Python' def test_direct_dsd_instantiation(self): pattern = self.MSG_PATTERN % epr.DSD.__name__ self.assertRaisesRegex(TypeError, pattern, epr.DSD) def test_direct_field_instantiation(self): pattern = self.MSG_PATTERN % epr.Field.__name__ self.assertRaisesRegex(TypeError, pattern, epr.Field) def test_direct_record_instantiation(self): pattern = self.MSG_PATTERN % epr.Record.__name__ self.assertRaisesRegex(TypeError, pattern, epr.Record) def test_direct_raster_instantiation(self): pattern = self.MSG_PATTERN % epr.Raster.__name__ self.assertRaisesRegex(TypeError, pattern, epr.Raster) def test_direct_band_instantiation(self): pattern = self.MSG_PATTERN % epr.Band.__name__ self.assertRaisesRegex(TypeError, pattern, epr.Band) def test_direct_dataset_instantiation(self): pattern = self.MSG_PATTERN % epr.Dataset.__name__ self.assertRaisesRegex(TypeError, pattern, epr.Dataset) def test_direct_Product_instantiation(self): self.assertRaises(epr.EPRError, epr.Product, 'filename') class TestLibVersion(unittest.TestCase): def test_c_api_version(self): self.assertTrue(isinstance(epr.EPR_C_API_VERSION, str)) # only PyPy 3 seems to be affected @unittest.skipIf(platform.python_implementation() == 'PyPy', 'skip memory leak check on PyPy') @unittest.skipIf(resource is None, '"resource" module not available') class TestMemoryLeaks(unittest.TestCase): # See gh-10 (https://github.com/avalentino/pyepr/issues/10) PRODUCT_FILE = os.path.join(TESTDIR, TEST_PRODUCT) BAND_NAME = 'incident_angle' def test_memory_leacks_on_read_as_array(self): N = 10 for n in range(N): with epr.open(self.PRODUCT_FILE) as p: p.get_band(self.BAND_NAME).read_as_array() if n <= 1: m1 = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss m2 = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss self.assertLessEqual(m2 - m1, 8) if __name__ == '__main__': print('PyEPR: %s' % epr.__version__) print('EPR API: %s' % epr.EPR_C_API_VERSION) print('Numpy: %s' % np.__version__) print('Python: %s' % sys.version) unittest.main()