Result for 00C1519EA89D49BD44FA450E67D0397F7EB55319

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/pyopencl/compyte/ndarray/__pycache__/gen_reduction.cpython-38.opt-1.pyc
FileSize52543
MD51705DA56A95AD3CAB238FE3C3E336988
SHA-100C1519EA89D49BD44FA450E67D0397F7EB55319
SHA-256B892B9DA1F3FA51E1597FA5E04F873CAA3596EF9724D5EECB25AA1B44F6C23D3
SSDEEP384:9gzQv5i82uUvU7P9jOjT1/L4CUoj1owhdOlbyPVtNH7vafXTtg:9gzQn2fU7P9jOjT1z4Ej1ok2boV7LafG
TLSHT19033585C0C7B0BA6F956F874475A21152E07D20B26C8A9F1F92DD1E19F0E0D89FF239A
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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
MD576E53FB6C6EB054FA9B890AB33621CB1
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.
PackageMaintainerFedora Project
PackageNamepython3-pyopencl
PackageRelease2.fc32
PackageVersion2019.1.2
SHA-141D3A0D357FD099DC455307B7554FF8612F62C16
SHA-256691E0F0D38745BE3B1BDC1BA05E3B92AC0670987C6A4673913307E93C6E13D99
Key Value
MD5D4184C9287EB8DA9B879B76531001C46
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.
PackageMaintainerFedora Project
PackageNamepython3-pyopencl
PackageRelease2.fc32
PackageVersion2019.1.2
SHA-112BBD6282D213018E2DA90B4CF18600FF121AF3A
SHA-2560D0810C929C88110149C1AC9221381489AC493F728EC8533681DF77037D95708