Result for 1108974CD7928634CB667FADE0331B2F04B267BE

Query result

Key Value
FileName./usr/lib64/python3.7/site-packages/pyopencl/__pycache__/bitonic_sort_templates.cpython-37.pyc
FileSize15955
MD53BA844386CEA3CC27528A81C4DA15D87
SHA-11108974CD7928634CB667FADE0331B2F04B267BE
SHA-256AF4400850F39B069A11883FCA00994256593E9D006F0F6EB8467ACB0778CD20E
SSDEEP384:hritKB+6A3X7jbH4PHAH8HA3FfQMre/kcJPf/kpUNNMQwF3lhlok14Pc8:hZ+53X7jbH2HAH8HA3FI/hV/2Uk/F3h0
TLSHT18662312639A90151697624EFEB9574003A5BE13FA7E8EA90393E41441F52F2C23FF78D
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