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
MD5	B764D08CFAEE3AF4221DF7215859120B
PackageArch	x86_64
PackageDescription	Numba 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.
PackageName	python3-numba
PackageRelease	3.3
PackageVersion	0.48.0
SHA-1	9EE3AC165B646510E966FBAF13E4F1739D692098
SHA-256	D1B9933DC5C1E5226EECEEAE67919520C41E0CB57825907771AF1433D9450C71

Key	Value
MD5	5A90D3C00EC378B410B78D1FF0464097
PackageArch	x86_64
PackageDescription	Numba 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python38-numba
PackageRelease	1.1
PackageVersion	0.54.1
SHA-1	A0C3FD5C6CBAB490C4A32015EA2DF316566DCCCC
SHA-256	E3B854BB85C41775F7F33961743B07BCC261DA17D1B5EC811A6907A1C0BBDE04

Key	Value
MD5	08EF5CE34C3A1FB1A24EE647B3471425
PackageArch	x86_64
PackageDescription	Numba 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.
PackageName	python38-numba
PackageRelease	54.3
PackageVersion	0.55.0
SHA-1	9DE1E589BA0989870F006F83C3108F7EB870CFAB
SHA-256	7D83943CA45A8592B34F38576DC2F6A4E8F9B919EBA71F8661593E9C969B8D6E

Key	Value
MD5	4389388F8F16A2ED893C64CF0A9F9E7B
PackageArch	s390x
PackageDescription	Numba 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.
PackageName	python38-numba
PackageRelease	51.27
PackageVersion	0.53.0
SHA-1	606EFE2580C6310573F9A60717B59D306C17F467
SHA-256	75F8D31F4D17AC99B88215F53A3BDBD39B6C74E650B79ACE1FF5B71DFBF61FE3