Parents (Total: 11)

The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	2B336D729458BD475DD8AFEC0D414070
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	python3-numba
PackageRelease	bp154.1.67
PackageVersion	0.51.2
SHA-1	12DCFC7A140F1AAC5D63DA7C13CAD074AD62B6F5
SHA-256	2858190886CE9A2F94C029058CC1AD7905734BFC3B6F751DB7D55EAF075EADF6

Key	Value
MD5	E1889FD0D4EDB634D2E13F1FDF59C6F3
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.
PackageMaintainer	tmb <tmb>
PackageName	python3-numba
PackageRelease	1.mga8
PackageVersion	0.52.0
SHA-1	7324B27505D98FDE41BE632C0E63468CD93A80D3
SHA-256	DC1C895220F91932FB9A0CA91327DD3B157F4FA03775B77F490CE68B10A7E474

Key	Value
MD5	106DA372AC7B4660DB5949F3A0A7CBD4
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	python3-numba
PackageRelease	bp156.3.5
PackageVersion	0.51.2
SHA-1	06436226CB42BA444A00149614CA79BA8515CBEA
SHA-256	EBEBA588F8FFFB79AE2000DF00B071B68927E985F24523212A319D0D782C9A1D

Key	Value
MD5	BD75A01B719E679E2F83DAA32B50E2A7
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	python3-numba
PackageRelease	bp155.2.21
PackageVersion	0.51.2
SHA-1	37B3A4FC48EF5F95B447B59342D92A8F2990988E
SHA-256	270EF3D7AC9AA2D2FCB6AA6915C5D7AC5E8A6E611DF478A6192C54F23E7E3AAD

Key	Value
MD5	ADB462D0D6AD70D7EE88A25A5BB5C063
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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-numba
PackageRelease	bp155.2.21
PackageVersion	0.51.2
SHA-1	B87D53CDC76F3CD12B06B15D925F1B617E3EDBF6
SHA-256	D26D89CBD85C2918F022F5575FC00A5E15391E795E7139ACAB018C7D8B44D8DD

Key	Value
MD5	276171505ECD6CFF889E2D61DA934382
PackageArch	i586
PackageDescription	Numba is a NumPy-aware optimizing compiler for Python. It uses the LLVM compiler infrastructure to compile Python syntax to machine code.
PackageMaintainer	tmb <tmb>
PackageName	python3-numba
PackageRelease	1.mga8
PackageVersion	0.52.0
SHA-1	BA8B7409DB454A0A42C203EE4A06D1BCBF9CDDD6
SHA-256	58FF532F9DB118B2628489E7D133529F889B903140D9DA2C9D3847BE0EDB9351

Key	Value
MD5	E6FD969E4DC09C3661AE01FD53D74990
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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-numba
PackageRelease	bp154.1.67
PackageVersion	0.51.2
SHA-1	C74146211C3285BDFDDEFECE3F05920A728C47A6
SHA-256	6147AC8A7D719637014C25D87DCB5AF7580AA36E5ED5C001A587A3A77773C3FD

Key	Value
FileSize	1379476
MD5	915B2E54E004DDE06942EF6F7D067D2D
PackageDescription	native machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-numba
PackageSection	python
PackageVersion	0.50.1-2
SHA-1	C9CF1B41DEB4D63E43CF2B197F9DDBA7B18335A2
SHA-256	C28697D2523B677F5D21FA838E2478374DF3A230EA9B71EDCC622516B411A037

Key	Value
MD5	A1A77B5B328FAFCFDD3FBEBEB52E297D
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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-numba
PackageRelease	bp156.3.5
PackageVersion	0.51.2
SHA-1	4037D3E1397065BD0C1B7EF25E1821878007ABF9
SHA-256	044B3E142F45800414B33B845C0E16C86FC244F7B5B2BFB4957E482847567CB4

Key	Value
MD5	B05EBA527AF641694F40AAE5DB3418C0
PackageArch	aarch64
PackageDescription	Numba is a NumPy-aware optimizing compiler for Python. It uses the LLVM compiler infrastructure to compile Python syntax to machine code.
PackageMaintainer	tmb <tmb>
PackageName	python3-numba
PackageRelease	1.mga8
PackageVersion	0.52.0
SHA-1	731DD94102F50FC4EBC06093AA1ADB3A9D9F97E5
SHA-256	8F6F47135D630F530B90374D0DB2374D611D551ED569590EEE499C9771BDB9E1

Key	Value
MD5	325F3490BB5CECD5333EC821EDADAF91
PackageArch	armv7hl
PackageDescription	Numba is a NumPy-aware optimizing compiler for Python. It uses the LLVM compiler infrastructure to compile Python syntax to machine code.
PackageMaintainer	tmb <tmb>
PackageName	python3-numba
PackageRelease	1.mga8
PackageVersion	0.52.0
SHA-1	17BB7FA2B3BA68DB92A6B0F8E95C2E4D76D56817
SHA-256	DE90D3E08A98050FBA23D4A59D3896495C43C1A533184F5E0F932ADA3461960B