Result for 0EEB9E7A4D9677F1841DB805C0C0F75D60813F05

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/pyopencl/reduction.py
FileSize20139
MD592FAC64A0E70AB2AEEBF233664E15D40
SHA-10EEB9E7A4D9677F1841DB805C0C0F75D60813F05
SHA-2563F0B84281D30ED5C970838BC62C06DDCA17E0B6F98954C95ABF309B0E2B90D20
SSDEEP384:oczzh1HxtoRrGyZ+3BUwaF15oX1idoJZXcprjPj+KA0IF7vK8KqhKdFI06K0qhK1:9/h1LoRr3Z+3B415oXYqJZXcprjPj+K0
TLSHT16192B816581CBCA123C359EC74A6B803A574AB0F4A443554369CA3FC3F59B3AA2F77E4
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize355648
MD5B057B3961B4F85FA32CB35504D31B302
PackageDescriptionPython module to access OpenCL parallel computation API PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart: * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. * Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. * Convenience. While PyOpenCL's primary focus is to make all of OpenCL accessible, it tries hard to make your life less complicated as it does so--without taking any shortcuts. * Automatic Error Checking. All OpenCL errors are automatically translated into Python exceptions. * Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free. * Helpful, complete documentation and a wiki. * Liberal licensing (MIT).
PackageMaintainerTomasz Rybak <tomasz.rybak@post.pl>
PackageNamepython-pyopencl
PackageSectionpython
PackageVersion2014.1-3
SHA-1AA5265D39E371911FCCC63E965B2C339BF3CE0F9
SHA-256E208BFE9AF25E90F69FD4C0D01536D6F08111CE37E69219F7BF4C271A9F64DC2
Key Value
FileSize350082
MD5F79612E0871F9237EA1D5D8D8A3EF646
PackageDescriptionPython module to access OpenCL parallel computation API PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart: * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. * Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. * Convenience. While PyOpenCL's primary focus is to make all of OpenCL accessible, it tries hard to make your life less complicated as it does so--without taking any shortcuts. * Automatic Error Checking. All OpenCL errors are automatically translated into Python exceptions. * Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free. * Helpful, complete documentation and a wiki. * Liberal licensing (MIT).
PackageMaintainerTomasz Rybak <tomasz.rybak@post.pl>
PackageNamepython-pyopencl
PackageSectionpython
PackageVersion2014.1-3
SHA-15D93DA0DE26A6DF52D362C857411C6B3285C5F92
SHA-25660BDB0E2982B0A816ED42742833F34255E28B9082561318B5BA5EDA622F88AD6
Key Value
FileSize331926
MD5E81E5FD03E72E0A60192329F3B0FF15D
PackageDescriptionPython module to access OpenCL parallel computation API PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart: * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. * Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. * Convenience. While PyOpenCL's primary focus is to make all of OpenCL accessible, it tries hard to make your life less complicated as it does so--without taking any shortcuts. * Automatic Error Checking. All OpenCL errors are automatically translated into Python exceptions. * Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free. * Helpful, complete documentation and a wiki. * Liberal licensing (MIT).
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pyopencl
PackageSectioncontrib/python
PackageVersion2013.2-1build1
SHA-11BB2D9EC3676CD0DD93AE2EA0DCAF736E5281948
SHA-256721133C285F8183F0574A1E6CF4B80D743EB4036196436280C834282B38F0F59
Key Value
FileSize338810
MD56D6059D3ED9F648B60C1DDCA1BB04792
PackageDescriptionPython module to access OpenCL parallel computation API PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart: * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. * Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. * Convenience. While PyOpenCL's primary focus is to make all of OpenCL accessible, it tries hard to make your life less complicated as it does so--without taking any shortcuts. * Automatic Error Checking. All OpenCL errors are automatically translated into Python exceptions. * Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free. * Helpful, complete documentation and a wiki. * Liberal licensing (MIT).
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pyopencl
PackageSectioncontrib/python
PackageVersion2013.2-1build1
SHA-16A245824CDB6A389FC5BA5632617305F5DDC682E
SHA-25696B76F1E1CA6AFD9D020CCC408154D8913EE4D4A42A5EA6959EEA6A954B6CBD6