Result for 00F66709FCFDEFDC4D959523D46AEFAA76EFE950

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/numba/tests/__pycache__/test_array_analysis.cpython-38.opt-1.pyc
FileSize36989
MD5D4A2ADD58F790F38144BC9259A197F26
SHA-100F66709FCFDEFDC4D959523D46AEFAA76EFE950
SHA-2564A1FEF98C791EB510F7F09DBF03DA24EBB5811B491F373A668C51F566E33382A
SSDEEP768:Jx07EwdK5Y0MTgf3FOMeRnq1kJ8nwi20w8Pt:7Dwg5YnTgf9jkiZl
TLSHT181F274AC18D79E4FFC61F2F884784911EA35DB22025A96239611DE9F2F407D93DF90AC
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