{ "info": { "author": "J\u00e9r\u00f4me Kieffer (python), Peter Boesecke (geometry), Manuel Sanchez del Rio (algorithm), Vicente Armando Sole (algorithm), Dimitris Karkoulis (GPU), Jon Wright (adaptations) Frederic-Emmanuel Picca and Valentin Valls", "author_email": "jerome.kieffer@esrf.fr", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Environment :: Console", "Environment :: X11 Applications :: Qt", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Operating System :: Unix", "Programming Language :: Cython", "Programming Language :: Python :: 2", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering :: Physics", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "pyFAI: Fast Azimuthal Integration in Python\n===========================================\n\nMain development website: https://github.com/silx-kit/pyFAI\n\n|Build Status| |Appveyor Status| |myBinder Launcher|\n\npyFAI is an azimuthal integration library that tries to be fast (as fast as C\nand even more using OpenCL and GPU).\nIt is based on histogramming of the 2theta/Q positions of each (center of)\npixel weighted by the intensity of each pixel, but parallel version uses a\nSparseMatrix-DenseVector multiplication.\nNeighboring output bins get also a contribution of pixels next to the border\nthanks to pixel splitting.\nFinally pyFAI provides also tools to calibrate the experimental setup using Debye-Scherrer\nrings of a reference compound.\n\nReferences\n----------\n\n* The philosophy of pyFAI is described in the proceedings of SRI2012:\n doi:10.1088/1742-6596/425/20/202012 http://iopscience.iop.org/1742-6596/425/20/202012/\n* Implementation in parallel is described in the proceedings of EPDIC13:\n PyFAI: a Python library for high performance azimuthal integration on GPU.\n doi:10.1017/S0885715613000924\n* Benchmarks and optimization procedure is described in the proceedings of EuroSciPy2014:\n http://conference.scipy.org/category/euroscipy.html (accepted)\n\nInstallation\n------------\n\nWith PIP\n........\n\nAs most Python packages, pyFAI is available via PIP::\n\n pip install pyFAI [--user]\n\nProvide the *--user* to perform an installation local to your user.\nUnder UNIX, you may have to run the command via *sudo* to gain root access an\nperform a system wide installation.\n\nWith conda\n..........\n\npyFAI is also available via conda (for Linux and Mac, currently)::\n\n conda install pyfai -c conda-forge\n\nTo install conda please see either `conda `_ or `Anaconda `_.\n\nFrom source code\n................\n\nThe latest release of pyFAI can be downloaded from\n`Github `_.\nPresently the source code has been distributed as a zip package.\nDownload it one and unpack it::\n\n unzip pyFAI-master.zip\n\nAs developement is also done on Github,\n`development branch is also available `_\n\nAll files are unpacked into the directory pyFAI-master::\n\n cd pyFAI-master\n\nBuild it & test it::\n\n python setup.py build test\n\nFor its tests, pyFAI downloads test images from the internet.\nDepending on your network connection and your local network configuration,\nyou may have to setup a proxy configuration like this::\n\n export http_proxy=http://proxy.site.org:3128\n python setup.py build test\n\nThis is especially true at ESRF, where you will have to phone the hotline\n(24-24) to get this information or grab it from the intranet.\n\nFinally, install pyFAI computer-wise if you have local root access.\nThis command may request your password to gain root-access::\n\n sudo pip install . --upgrade\n\nIf you prefer a local installation (only you will have access to the\ninstalled version)::\n\n pip install . --upgrade --user\n\nThe newest development version can also be obtained by checking out from the git\nrepository::\n\n git clone https://github.com/silx-kit/pyFAI.git\n cd pyFAI\n python setup.py build bdist_wheel\n sudo pip install . --upgrade\n\nIf you want pyFAI to make use of your graphic card, please install\n`pyopencl `_\n\nIf you are using MS Windows you can also download a binary version packaged as executable\ninstallation files (Chose the one corresponding to your python version).\n\nFor MacOSX users with MacOS version>10.7, the default compiler switched from gcc\nto clang and dropped the OpenMP support. Please refer to the installation documentation ...\n\nDocumentation\n-------------\n\nDocumentation can be build using this command and Sphinx (installed on your computer)::\n\n python setup.py build build_doc\n\n\nDependencies\n------------\n\nPython 2.7, 3.4, 3.5, 3.6 and 3.7 are well tested.\nPython 2.6, 3.2 and 3.3 are no more supported since pyFAI 0.12\nFor full functionality of pyFAI the following modules need to be installed.\n\n* ``numpy`` - http://www.numpy.org\n* ``scipy`` \t - http://www.scipy.org\n* ``matplotlib`` - http://matplotlib.sourceforge.net/\n* ``fabio`` \t\t - http://sourceforge.net/projects/fable/files/fabio/\n* ``h5py``\t - http://www.h5py.org/\n* ``pyopencl``\t - http://mathema.tician.de/software/pyopencl/\n* ``pyqt5``\t - http://www.riverbankcomputing.co.uk/software/pyqt/intro\n* ``silx`` - http://www.silx.org\n* ``numexpr`` - https://github.com/pydata/numexpr\n\nThose dependencies can simply be installed by::\n\n pip install -r requirements.txt\n\n\nUbuntu and Debian-like Linux distributions\n------------------------------------------\n\nTo use pyFAI on Ubuntu/Debian the needed python modules\ncan be installed either through the Synaptic Package Manager\n(found in System -> Administration)\nor using apt-get on from the command line in a terminal::\n\n sudo apt-get install pyfai\n\nThe extra Ubuntu packages needed are:\n\n* ``python-numpy``\n* ``python-scipy``\n* ``python-matplotlib``\n* ``python-dev``\n* ``python-fabio``\n* ``python-pyopencl``\n* ``python-pyqt5``\n* ``python-silx``\n* ``python-numexpr``\n\nand the same with python3\nusing apt-get these can be installed as::\n\n sudo apt-get install python-numpy python-scipy python-matplotlib python-dev python-fabio python-pyopencl python-pyqt5 python-silx python-numexpr\n sudo apt-get install python3-numpy python3-scipy python3-matplotlib python3-dev python3-fabio python3-pyopencl python3-pyqt5 python3-silx python3-numexpr \n\nMacOSX\n------\n\nYou are advised to build pyFAI with the GCC compiler, as the compiler provided\nby Apple with XCode (a derivative of clang) lakes the support of OpenMP.\nIf you use Xcode5 or newer, append the \"--no-openmp\" option to deactivate multithreading\nin binary modules.\nYou will also need *cython* to re-generate the C-files and delete *src/histogram.c*\nbefore running::\n\n pip install cython --user --upgrade\n rm pyFAI/ext/histogram.c\n python setup.py build --force-cython --no-openmp\n\n\nWindows\n-------\n\nUnder 32 bits windows, pyFAI can be built using The MinGW compiler. 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