Result for 58A0A5A76BDF42B323E4E49536DDF0BC9683440B

Query result

Key Value
FileName./usr/share/doc/python-pyopencl/changelog.Debian.gz
FileSize1196
MD57CA4ABAFF3438625DF283224057ADF38
SHA-158A0A5A76BDF42B323E4E49536DDF0BC9683440B
SHA-25649D44B88510EA97018AF5264E796F4948DFCB94EEA2D019C46F1A4251C428DEE
SSDEEP24:X6cb/yq6jBOdrlQshqn9FhHBrfsBR2Zwoivhub1+ZKeYL+E8OoDC1e8CEWKtX:Xd/MNOdrlB49z9faRcwhuIZfYLLo+1Bz
TLSHT1C421B47C14E2FD5C8D3E162BFBF68E60443249F17560F6542F727D8AB8109040935283
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize356138
MD57D54D09894533F2EE9C1FC0C3171A0F9
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
PackageSectionpython
PackageVersion2015.1-2build3
SHA-1BA82CC6F5B0178057FEB140327FA467B71999033
SHA-256420974C8BE2876362A521783552F0CACCCB5BC18755418326A990BA7ED702B4D
Key Value
FileSize358722
MD59B0BD7D482D35195FB43418F76982638
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
PackageSectionpython
PackageVersion2015.1-2build3
SHA-1948019DC6940AE601229421C149899E063BE79F8
SHA-2566163D198232E2B7AF45F89B5D0D4EE0DB2491D4B5BDC73CCE5C5A41A5A21043E