Result for 00C673E13790B9A85E9777B80A30E7045A7E1F64

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numba/tests/__pycache__/test_sort.cpython-36.pyc
FileSize27893
MD5E8BBC2B6CE0609884955343A52FDC0D8
SHA-100C673E13790B9A85E9777B80A30E7045A7E1F64
SHA-256DB2E372CED2397F88819BA24E4BA25E4381EBAE14EF03659885CB7F5EB89D993
SSDEEP768:Qnuog4j2U3rF3SfRJnD5qIn2wxCrc432rHYyGeX1hPZtsno:suoNk8aaBzGXfso
TLSHT1C4C282DBB5861D0EFEE5F3FA40159304733DA726BB8993A3451D81AE1D803C51EB39A8
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD58B2EBD08D6BEC47EA5AA71D52D910A20
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
PackageNamepython3-numba
PackageReleaselp151.3.5
PackageVersion0.37.0
SHA-113DE3EED8C75AB82F96BFB22B8B80A4F9352A749
SHA-256A8AFFFCABC73831A59869BA2256013D3290F626F1F7E63D773E6AF5D6A224C64
Key Value
MD5C85A87532D4326D031C96ECEC1A57C14
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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-numba
PackageReleasebp153.1.18
PackageVersion0.37.0
SHA-19A25515A3F0F9F78CBAB1189A062D4EDAF8ABF0F
SHA-256143E8AEE9EB4B3F087C5654D3AB1A61B0A88C1C7179A82AE6187182010467DCC
Key Value
MD53CE84EC00D5B4E3CB3FC71CD1C905B4E
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
PackageNamepython3-numba
PackageReleasebp153.1.18
PackageVersion0.37.0
SHA-1AB8B0F0F5A12AFC49DB0AB5FFAED5B73149860F8
SHA-256FB18E153322A38793B99BD59782B0694A25A8F337CEBBCB39946095C5550AD95
Key Value
MD5ABB145C90E8EDF6BAF060CE729CD7596
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
PackageNamepython3-numba
PackageReleaselp152.4.9
PackageVersion0.37.0
SHA-186ACD8B62FCAD54DFD1BAE42614E4B528CB03D5B
SHA-2567BADDE4B7B257F2D769CB8FC0065C5AA5536068C0B427303E68AD5468D81EAD6