Result for 0AD77C2A1533E263FADA3990E5A346EF0E91D49D

Query result

Key Value
FileName./usr/lib64/python3.7/site-packages/pyopencl/compyte/ndarray/__pycache__/gen_reduction.cpython-37.opt-1.pyc
FileSize53634
MD5D3FBDC57F646EA2509907360A9FEE2D2
SHA-10AD77C2A1533E263FADA3990E5A346EF0E91D49D
SHA-2569EBD42E194EF3F6FE872C31CAE4B31AC93F784747EB0A1D086500D6726FA2B0D
SSDEEP768:/y5gzN6lsLiizlOciDkOvj1o1SnwSVA7Cbn:jNomTOcWxhwq
TLSHT1F83335581C7A4BB6F556F8B4075A25442F07920B1788A9E1FA1DC0E4DF0F0E8AFF539A
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