Result for 0014BAAAADE2C6725496D39DA611F202CE7085C8

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/numba/cpython/__pycache__/cmathimpl.cpython-38.opt-1.pyc
FileSize13017
MD57ACD48A1F6D0175BE03E736CD3F45CA9
SHA-10014BAAAADE2C6725496D39DA611F202CE7085C8
SHA-256A97EAD8D8F7801FA2AA1140B7B1DCA5B702D6238ED13A0BD9B9F4B8C17E8EE9E
SSDEEP384:DzMFusLhu+Lt1E2FkEfinvO5kfPu8zbbMyQhAhQOCNsRal1qfvSp/eUvGHWtjZVi:D2usLhu+Lt1E2FkEfinvO5kfm83bMJhu
TLSHT18B4286F09C5E1D8EFC78F3FE846B43601E35D629225A9D2B6520F2773D456EB2C24289
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
MD508EF5CE34C3A1FB1A24EE647B3471425
PackageArchx86_64
PackageDescriptionNumba is a NumPy-aware optimizing compiler for Python. It uses the LLVM compiler infrastructure to compile Python syntax to machine code. It is aware of NumPy arrays as typed memory regions and so can speed-up code using NumPy arrays. Other, less well-typed code will be translated to Python C-API calls, effectively removing the "interpreter", but not removing the dynamic indirection. Numba is also not a tracing JIT. It *compiles* your code before it gets run, either using run-time type information or type information you provide in the decorator. Numba is a mechanism for producing machine code from Python syntax and typed data structures such as those that exist in NumPy.
PackageNamepython38-numba
PackageRelease54.3
PackageVersion0.55.0
SHA-19DE1E589BA0989870F006F83C3108F7EB870CFAB
SHA-2567D83943CA45A8592B34F38576DC2F6A4E8F9B919EBA71F8661593E9C969B8D6E
Key Value
MD55A90D3C00EC378B410B78D1FF0464097
PackageArchx86_64
PackageDescriptionNumba is a NumPy-aware optimizing compiler for Python. It uses the LLVM compiler infrastructure to compile Python syntax to machine code. It is aware of NumPy arrays as typed memory regions and so can speed-up code using NumPy arrays. Other, less well-typed code will be translated to Python C-API calls, effectively removing the "interpreter", but not removing the dynamic indirection. Numba is also not a tracing JIT. It *compiles* your code before it gets run, either using run-time type information or type information you provide in the decorator. Numba is a mechanism for producing machine code from Python syntax and typed data structures such as those that exist in NumPy.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython38-numba
PackageRelease1.1
PackageVersion0.54.1
SHA-1A0C3FD5C6CBAB490C4A32015EA2DF316566DCCCC
SHA-256E3B854BB85C41775F7F33961743B07BCC261DA17D1B5EC811A6907A1C0BBDE04