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        "author": "Zuzu_Typ",
        "author_email": "zuzu.typ@gmail.com",
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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: zlib/libpng License",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Multimedia :: Graphics",
            "Topic :: Scientific/Engineering :: Physics",
            "Topic :: Software Development :: Libraries"
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        "description": "\n#####\nPyGLM\n#####\n\n*********************************************\nOpenGL Mathematics \\(GLM\\) library for Python\n*********************************************\n| **GLSL \\+ Optional features \\+ Python \\= PyGLM**\n| **A mathematics library for graphics programming\\.**\n| \n| **PyGLM** is a Python extension written in **C\\+\\+**\\. \n| By using `GLM by G\\-Truc <https://glm.g-truc.net>`_ under the hood\\, it manages to bring **glm\\'s features** to Python\\.  \n| Some features are unsupported \\(such as unstable extensions\\) \\- Please see \\[*Unsupported Functions*\\] below\\.\n| If you encounter any issues or want to request a feature\\, please create an issue on the `issue tracker <https://github.com/Zuzu-Typ/PyGLM/issues>`_\\.\n| \n\nTiny Documentation\n==================\n\nWhy PyGLM\\?\n-----------\n| Besides the obvious \\- being mostly compatible with **GLM** \\- PyGLM offers a variety of features for **vector** and **matrix manipulation**\\.\n| It has a lot of possible use cases\\, including **3D\\-Graphics** \\(OpenGL\\, DirectX\\, \\.\\.\\.\\)\\, **Physics** and more\\.\n| \n| At the same time\\, it has **great performance**\\, being between **2x and 15x as fast as numpy\\!**\n| \\(*depending on the individual function*\\)\n\nInstallation\n------------\n| **PyGLM** supports **Windows**\\, **Linux**\\, **MacOS** and other operating systems with either x86 \\(**32\\-bit**\\) or x64 \\(**64\\-bit**\\) architecture\\, \n| running **Python 3**\\.5 or higher\\. \\(Prior versions of Python \\- such as Python 2 \\- were supported up to PyGLM version 0\\.4\\.8b1\\)\n| \n| It can be installed from the `PyPI <https://pypi.python.org/pypi/PyGLM>`_ using `pip <https://pip.pypa.io/en/stable/>`_\\:\n\n\n::\n\n    pip install pyglm\n\n\n| And finally imported and used\\:\n\n\n::\n\n    import glm\n\n\n\nUsing PyGLM\n-----------\n| PyGLM\\'s syntax is very similar to the original GLM\\'s syntax\\.\n| There is no need to import anything but **glm**\\, as it already contains the entire package\\.\n\nLicense requirements\n^^^^^^^^^^^^^^^^^^^^\n| Please make sure to **include the license for GLM** in your project when you use PyGLM\\!\n| \\(this also includes **binary distributions**\\, e\\.g\\. \\*\\.exe\\)\n| \n| You can do so by copying either the :code:`COPYING` or :code:`GLM_LICENSE` file \\(or their contents\\) to your project\\.\n\nDifferences to glm\n^^^^^^^^^^^^^^^^^^\n| Instead of using double colons \\(**\\:\\:**\\) for namespaces\\, periods \\(**\\.**\\) are used\\, so\n| :code:`glm::vec2` becomes :code:`glm.vec2`\\.\n| \n| PyGLM supports the `buffer protocol <https://docs.python.org/3/c-api/buffer.html>`_\\, meaning its compitible to other objects that support the buffer protocol\\,\n| such as :code:`bytes` or :code:`numpy.array` \n| \\(for example you can convert a glm matrix to a numpy array and vice versa\\)\\.\n| PyGLM is also capable of interpreting iterables \\(such as tuples\\) as vectors\\, so e\\.g\\. the following equasion is possible\\:\n\n\n::\n\n    result = glm.vec2(1) * (2, 3)\n\n\n| \n| PyGLM doesn\\'t support precision qualifiers\\. All types use the default precision \\(:code:`packed_highp`\\)\\.\n| \n| If a glm function normally accepts :code:`float` and :code:`double` arguments\\, the higher precision \\(:code:`double`\\) is used\\.\n| \n| There is no way to set preprocessor definitions \\(macros\\)\\.\n| If \\- for example \\- you need to use the left handed coordinate system\\, you have to use **\\*LH**\\, so\n| :code:`glm.perspective` becomes :code:`glm.perspectiveLH`\\.\n| \n| All types are initialized by default to avoid memory access violations\\.\n| \\(i\\.e\\. the macro :code:`GLM_FORCE_CTOR_INIT` is defined\\)\n| \n| In case you need the size of a PyGLM datatype\\, you can use \n\n\n::\n\n    glm.sizeof(<type>)\n\n\n| \n| The function :code:`glm.identity` requires a matrix type as it\\'s argument\\.\n| \n| The function :code:`glm.frexp(x, exp)` returns a tuple :code:`(m, e)`\\, if the input arguments are numerical\\.\n| This function may issue a :code:`UserWarning`\\. You can silence this warning using :code:`glm.silence(1)`\\.\n| \n| The function :code:`glm.value_ptr(x)` returns a ctypes pointer of the respective type\\.\n| I\\.e\\. if the datatype of :code:`x` is :code:`float`\\, then a :code:`c_float` pointer will be returned\\.\n| Likewise the reverse\\-functions \\(such as :code:`make_vec2(ptr)`\\) will take a ctypes pointer as their argument\n| and return \\(in this case\\) a 2 component vector of the pointers underlying type\\.\n| \n| :code:`glm.silence(ID)` can be used to silence specific warnings\\.\n| Supplying an id of 0 will silence all warnings\\.\n| \n| There is currently no documentation for PyGLM\\.\n| Please refer to the source \\(in Python\\: **\\*\\.\\_\\_doc\\_\\_**\\) and `GLM manuals <https://github.com/g-truc/glm/blob/master/manual.md>`_\\, `references <https://glm.g-truc.net/0.9.9/api/modules.html>`_ and `tutorials <https://learnopengl.com/>`_\\.\n| \n\nUnsupported functions\n^^^^^^^^^^^^^^^^^^^^^\n| Aside from the unstable extensions\\,\n| PyGLM doesn\\'t support the following extensions and methods\\, due to compatibility issues\\:\n| The :code:`GLM_GTC_bitfield` extension\\,\n| :code:`glm::log2` from GLM\\_GTC\\_integer\\.\n| :code:`glm::packUnorm` and :code:`glm::packSnorm` from GLM\\_GTC\\_packing\\.\n| \n\nBuild options\n^^^^^^^^^^^^^\n| PyGLM can be built from source in a couple of different ways\\.\n| In :code:`PyGLM.cpp` there is a preprocessor option :code:`PyGLM_BUILD` which is set to :code:`PyGLM_DEFAULT` by default\\.\n| :code:`PyGLM_DEFAULT` will build all of PyGLM\\'s functions and features\\.\n| \n| A few other flags exist\\:\n| :code:`PyGLM_FAST` removes PyGLM\\'s iterable and GetBuffer checking\\, thus making it incompatible with tuples\\, numpy arrays and bytes objects while increasing overall performance\\.\n| \n| :code:`PyGLM_NO_FUNCTIONS` removes all of the functions of glm and only builds the bare types\\.\n| \n| :code:`PyGLM_MINIMAL` combines :code:`PyGLM_FAST` and :code:`PyGLM_NO_FUNCTIONS`\\.\n| \n\nExample\n-------\n\n\n::\n\n\n    >>> import glm\n    >>> v = glm.vec3()\n    >>> v.x = 7\n    >>> print(v.xxy)\n    vec3(            7,            7,            0 )\n\n    >>> m = glm.mat4()\n    >>> print(m)\n    [            1 |            0 |            0 |            0 ]\n    [            0 |            1 |            0 |            0 ]\n    [            0 |            0 |            1 |            0 ]\n    [            0 |            0 |            0 |            1 ]\n\n    >>> v = glm.vec4(1, 2, 3, 4)\n    >>> print(v + (8, 7, 6, 5))\n    vec4(            9,            9,            9,            9 )\n\n\n\n",
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