Result for 00BE3659BAB9151C378B875804090E4225E04ACB

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/numba/np/ufunc/__pycache__/wrappers.cpython-39.pyc
FileSize20194
MD579B136E3E722ACAD3207D36CA60255D7
SHA-100BE3659BAB9151C378B875804090E4225E04ACB
SHA-256CB59CCB29226EE8BB319AD24DFC47E3AA2CECAD14A1208BA547E0F579390C303
SSDEEP384:GyoZzDRyNCOa5V3Ex/WFQxerhsOEUECED1H7/QdmMJyI:WZzDUNXAV34/EQxeEVb29
TLSHT1AE92E6E8AA525DCBFCA2F2FC043E0B60962493770385A513E815B25E5F851DDFFB84A4
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
MD57E250C677779DB2CE266323F07C030E9
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
PackageNamepython39-numba
PackageRelease1.1
PackageVersion0.54.1
SHA-1653AC357386A704534053478C755717F278F26E1
SHA-25605194971C0F9BB327CC76D4678FD0982630CFED6D52CBB083A2B0AB6514502C5
Key Value
MD54DD5EB932768829652572CC647EF0BF7
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.
PackageNamepython39-numba
PackageRelease54.3
PackageVersion0.55.0
SHA-1FF47E3AC66EF868467ACBFFE1A32A777F506589A
SHA-256592BD62CD26A0AD1B9A3A3F844378A23E9B7784C41C02282A52396D578A69AAB