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        "description": "pyAT\n====\n\npyAT is a Python interface to the pass methods defined in Accelerator Toolbox,\nimplemented by compiling the C code used in the AT 'integrators' plus a Python\nextension.\n\nIt supports Python 2.7 and 3.4 to 3.7.\n\n\nInstallation preparation (Windows)\n----------------------------------\n\nDownload Microsoft Visual C++ Compiler for Python 2.7 (`here\n<https://www.microsoft.com/en-us/download/details.aspx?id=44266>`_), and use\nthe Visual C++ Command Prompt of the correct architecture to build pyat.\n\nFor newer versions of Python you need the appropriate version of Visual C++.\n\n\nInstallation (all platforms)\n----------------------------\n\nAll the binaries should be built when building the Python extension.\n\nIt is easiest to do this using a virtualenv, inside pyat:\n\n* ``virtualenv --no-site-packages venv``\n* ``source venv/bin/activate  # or venv\\Scripts\\activate on Windows``\n* ``pip install -r requirements.txt``\n* ``python setup.py develop``\n\nFinally, you should be able to run the tests:\n\n* ``py.test test``\n\n\nComparing results with Matlab\n-----------------------------\n\nThere is a second set of tests that require a Matlab licence and allows\ncomparing results directly with a Matlab session.  See test_matlab/README\nfor information.\n\n\nDebugging\n---------\n\nPrint statements in the C code will work once the integrators are\nrecompiled.  To force recompilation, remove the build directory:\n\n* ``rm -rf build``\n\nAny changes to .py files are automatically reinstalled in the build, but to\nensure any changes to .c files are reinstalled rerun:\n\n* ``python setup.py develop``\n\nIf you get strange behaviour even after running setup.py develop again, then\nrunning the following, inside pyat, should fix it:\n\n* ``rm -rf build``\n* ``find at -name \"*.pyc\" -exec rm '{}' \\;``\n* ``find at -name \"*.so\" -exec rm '{}' \\;``\n* ``python setup.py develop``\n\nN.B. setup.py develop needs to be run with the same version of Python (and\nnumpy) that you are using to run pyAT.\n\nReleasing a version to PyPI\n---------------------------\n\nBecause pyAT compiles C code, releasing a version is not simple. The code\nmust be compiled for different operating systems and Python versions.\n\nTo do this, we use the continuous integration services Travis CI (for Linux\nand Mac) and Appveyor (for Windows). When a tag of the form pyat-x.y.z is\npushed to Github, wheels for each of the different platforms will be built\nand automatically uploaded to\nhttps://test.pypi.org/project/accelerator-toolbox/. Once there, someone\nshould manually test that the wheels are working correctly, then they can\nmanually download the files and upload them to PyPI itself.\n\nFor Travis to be authenticated to Test PyPI, someone must set the variables\nTWINE_USERNAME and TWINE_PASSWORD in the Travis CI project settings. These\nare not public so it is possible to use personal details; it may be best\nnot to use the same password for PyPI.\n\nA similar process is necessary for the Appveyor settings. You can click the\nlittle lock to keep the variable values private.\n\nBecause there are complications putting special characters into these\nenvironment variables it may be simpler to ensure your Test PyPI password\ncontains only alphanumeric characters.\n\n\n",
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