Result for 13B91610D1ABD0F8294B90617D9027F73ACB49A3

Query result

Key Value
FileName./usr/lib64/python3.7/site-packages/pyopencl/compyte/ndarray/__pycache__/test_gpu_ndarray.cpython-37.pyc
FileSize12772
MD5D3A63CC2212BFAA645B7B0E7397F4036
SHA-113B91610D1ABD0F8294B90617D9027F73ACB49A3
SHA-256ACACFE29A34CF2F697874AEF8083915F88C281F5C33DAE6763567DCE4D98E5D6
SSDEEP384:5i4QwxfwBCcJGIIwoCpe1ar8k5rJV+H7TEwBrqL:5iCxfwBCcJ5Ie016lVJcH7TES6
TLSHT16A42A7E77C04EA2FFE5CF6F4800C526845AEF3B85BC7C59B940494EE5D812891E24BAD
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
MD52AB78712F3E9E71FEBD841CF6443B43D
PackageArchx86_64
PackageDescriptionPyOpenCL makes it possible to access GPUs and other massively parallel compute devices from Python. Specifically, PyOpenCL provides Pythonic access to the OpenCL parallel computation API in a manner similar to the sister project `PyCUDA`. Python 3 version.
PackageMaintainershlomif <shlomif>
PackageNamepython3-opencl
PackageRelease1.mga7
PackageVersion2018.2.2
SHA-1DAAB9AB2208277BBE1ADC83A10571299F3B3A037
SHA-256F6544A767472A1D7182963CFF2E5C626A955C5D61BBE142A29DC169B6E074002
Key Value
MD57E298518DDD7E8DBA13EA7A7A0D22495
PackageArchaarch64
PackageDescriptionPyOpenCL makes it possible to access GPUs and other massively parallel compute devices from Python. Specifically, PyOpenCL provides Pythonic access to the OpenCL parallel computation API in a manner similar to the sister project `PyCUDA`. Python 3 version.
PackageMaintainershlomif <shlomif>
PackageNamepython3-opencl
PackageRelease1.mga7
PackageVersion2018.2.2
SHA-1156708B87AF3B5A2B2261D14D01B2B2C10BBEEA9
SHA-256CF72D1A712E66EE2D9F6319E0CCFA3E5FF59E465202107F2CD09A67CC35B4AC4