Result for 0074B72A614A259AB1F82F6E7C91B0E718B34A41

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/numba/core/__pycache__/withcontexts.cpython-39.opt-1.pyc
FileSize13653
MD5B7071BE72B260E33C3AD0F3F47D9483E
SHA-10074B72A614A259AB1F82F6E7C91B0E718B34A41
SHA-256C6A25E5DB5D4D1DEFD9DFC1BA055116D25C1789051066B5FEF64F4BB0A8A1D44
SSDEEP384:xO9QY9P6qqN8cQIiaqTiD7Mqqoni05PhqqkN46bqbqKy2ciOpJ65OWHqHqq214qH:xO9QYt6qqN8cQIiaqTiDgqqoni0Fhqqb
TLSHT1D0521AEA09585BCAFDF9F1BD859E02545330D1273329D585B0ACC22D0FCF0A51AB9BE9
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
MD59C84078D61357FE6993503AF5D441A31
PackageArchs390x
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
PackageRelease51.27
PackageVersion0.53.0
SHA-1C8761BA63F3A16CF11A7FD4319E398F7F3124C24
SHA-25679E756AB2DBC796DB97DD8C02CB0684335F6643DB276C771846B35921F0B31F0