{
    "info": {
        "author": "kai zhu",
        "author_email": "kaizhu256@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License (GPL)",
            "Natural Language :: English",
            "Operating System :: POSIX",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: C",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.1",
            "Topic :: Multimedia",
            "Topic :: Multimedia :: Graphics",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Software Development",
            "Topic :: Software Development :: Code Generators",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "numbyte - numerical bytearray - c++ numerical buffer interface extending bytearray into numpy-like, 2d array\n\n  REQUIRES PYTHON3.1\n\n  QUICK TEST: $ python3.1 setup.py build dev --quicktest\n\n  DESCRIPTION: numbyte - numerical bytearray - c++ numerical buffer interface extending bytearray into numpy-like, 2d array\n\nSUMMARY:\nnumbyte is a python3.1 extension module, efficiently implementing numerical 2d arrays.\nnumbyte uses python bytearray as the underlying data structure, simplifying io operation with other python objects.\n\nRECENT CHANGELOG:\n20091224 - modularized package - fix install issues - added sdist check\n20091209 - improved documentation\n20091205 - moved source code to c++\n20091116 - package integrated\n\n  DEMO USAGE:\n\n>>> from numbyte import *\n>>> ## subclass numbyte\n>>> class numbyte2(numbyte): pass\n\n>>> ## create bytearray containing 3x4 array of longlong\n>>> integers = numbyte2('i', range(12), shape0 = 3, shape1 = 4)\n>>> print( integers.debug() )\n<class 'numbyte.numbyte2'> i refcnt=4 tcode=i tsize=8 offset=0 shape=<3 4> stride=<4 1> transposed=0\n[[          0           1           2           3]\n[          4           5           6           7]\n[          8           9          10          11]]\n\n>>> ## modify underlying bytearray\n>>> integers.bytes()[0] = 0xff; integers.bytes()[1] = 0xff\n>>> print( integers.bytes() )\nbytearray(b'\\xff\\xff\\x00\\x00\\x00\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x02\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x03\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x04\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x05\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x06\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x07\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x08\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\t\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\n\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x0b\\x00\\x00\\x00\\x00\\x00\\x00\\x00')\n>>> print( integers.debug() )\n<class 'numbyte.numbyte2'> i refcnt=4 tcode=i tsize=8 offset=0 shape=<3 4> stride=<4 1> transposed=0\n[[      65535           1           2           3]\n[          4           5           6           7]\n[          8           9          10          11]]\n\n>>> ## bytearray as sequence\n>>> print( 2 in integers )\nTrue\n>>> print( integers.count(2) )\n1\n>>> print( integers.index(2) )\n2\n>>> for aa in integers.rows(): print( aa )\n[[      65535           1           2           3]]\n[[          4           5           6           7]]\n[[          8           9          10          11]]\n>>> ## slice\n>>> print( integers[1:, 2:].debug() )\n<class 'numbyte.numbyte2'> i refcnt=3 tcode=i tsize=8 offset=6 shape=<2 2> stride=<4 1> transposed=0\n[[          6           7]\n[         10          11]]\n>>> ## transpose\n>>> print( integers.T()[2:, 1:].debug() )\n<class 'numbyte.numbyte2'> i refcnt=3 tcode=i tsize=8 offset=6 shape=<2 2> stride=<1 4> transposed=1\n[[          6          10]\n[          7          11]]\n>>> ## reshape\n>>> print( integers.reshape(2, -1).debug() )\n<class 'numbyte.numbyte2'> i refcnt=3 tcode=i tsize=8 offset=0 shape=<2 6> stride=<6 1> transposed=0\n[[      65535           1           2           3           4           5]\n[          6           7           8           9          10          11]]\n>>> ## setslice\n>>> integers.T()[2:, 1:] = range(4); print( integers )\n[[      65535           1           2           3]\n[          4           5           0           2]\n[          8           9           1           3]]\n\n>>> ## almost all arithmetic operations are inplace - use copy to avoid side-effects\n>>> ## recast to double\n>>> floats = integers.recast('f') / 3; print( floats )\n[[        21845      0.333333      0.666667             1]\n[      1.33333       1.66667             0      0.666667]\n[      2.66667             3      0.333333             1]]\n>>> ## copy\n>>> print( floats.copy() + integers[0, :] )\n[[        87380       1.33333       2.66667             4]\n[      65536.3       2.66667             2       3.66667]\n[      65537.7             4       2.33333             4]]\n>>> ## inplace\n>>> print( floats + integers[:, 0] )\n[[        87380       65535.3       65535.7         65536]\n[      5.33333       5.66667             4       4.66667]\n[      10.6667            11       8.33333             9]]\n>>> ## inplace\n>>> print( floats - integers[:, 0] )\n[[        21845      0.333333      0.666667             1]\n[      1.33333       1.66667             0      0.666667]\n[      2.66667             3      0.333333             1]]\n>>> ## inplace\n>>> print( floats ** 2 )\n[[  4.77204e+08      0.111111      0.444444             1]\n[      1.77778       2.77778             0      0.444444]\n[      7.11111             9      0.111111             1]]\n>>> ## inplace\n>>> print( floats.sqrt() )\n[[        21845      0.333333      0.666667             1]\n[      1.33333       1.66667             0      0.666667]\n[      2.66667             3      0.333333             1]]\n\n>>> ## the only inplace exception are logical comparisons, which return new char arrays\n>>> print( floats )\n[[        21845      0.333333      0.666667             1]\n[      1.33333       1.66667             0      0.666667]\n[      2.66667             3      0.333333             1]]\n>>> ## copy as char\n>>> print( floats == floats[:, 1] )\n[[ 00  01  00  00]\n[ 00  01  00  00]\n[ 00  01  00  00]]\n>>> ## copy as char\n>>> print( floats > 1.5 )\n[[ 01  00  00  00]\n[ 01  01  00  00]\n[ 01  01  00  00]]",
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