Parents (Total: 55)

The searched file hash is included in 55 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
SHA-1	000086A5ECF2783A735698738486F8C548D5D39A
snap-authority	canonical
snap-filename	6gjU50q0lEDaMTtSUxYoVDSmjR5fERpB_245.snap
snap-id	6gjU50q0lEDaMTtSUxYoVDSmjR5fERpB_245
snap-name	freecad
snap-publisher-id	nbM3ZPW49wgmlSh0OwD2wYDVLh2iUXth
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2022-05-16T16:01:05.150385Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/6gjU50q0lEDaMTtSUxYoVDSmjR5fERpB_245.snap

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
FileSize	1514992
MD5	B1285EA3CDBBF12F55FFB3096B8AD0D4
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	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-numba
PackageSection	python
PackageVersion	0.52.0-4
SHA-1	08F898DE47538FFC7B8D77EAA605E24A9C9D6A20
SHA-256	E8E4700868F11496000B64F613716A43D0FAEF07C6C2F6845CA0DD4AD4E69722

Key	Value
FileSize	1518892
MD5	00BB154353C3A44456E7C37357DC0CF6
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	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-numba
PackageSection	python
PackageVersion	0.52.0-4
SHA-1	0E1B56774FA5E83D6319316258C88D07091A65F4
SHA-256	2896127B26DB22BD361AB9A88E8F1C06E83D0CD3701EA75872DC17EA196F684D

Key	Value
MD5	720F678D08A5A9F721DB133C8CAEF61D
PackageArch	i586
PackageDescription	This package provides debug sources for package python-numba. Debug sources are useful when developing applications that use this package or when debugging this package.
PackageMaintainer	tmb <tmb>
PackageName	python-numba-debugsource
PackageRelease	1.mga8
PackageVersion	0.52.0
SHA-1	1135FC81D92626F041FAA9E6637683121C298090
SHA-256	5313E4ACCAC42A2AE0D1B741D05EE3840E8003BC1CAA7CE0DC48EF7981F493C3

Key	Value
MD5	F21C8DAF1610C9F92A31CB07801A08A6
PackageArch	x86_64
PackageDescription	This package contains files for developing applications using numba.
PackageName	python3-numba-devel
PackageRelease	51.5
PackageVersion	0.53.0
SHA-1	1258BA302108F7790F37BFF448062205F033B31E
SHA-256	447DB247122CB14426A79F04281B018CCA463752108DF9C2070D5B1335A422F8

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	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

Key	Value
FileSize	1502420
MD5	506A38845B05B88B72C41FD3FE3DF053
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	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-numba
PackageSection	python
PackageVersion	0.52.0-4
SHA-1	181B729A4536B0B3000AD410D60110E415C4067F
SHA-256	E2BFBFC0BBC939A6EC3CAD13FB918F291CA16596436F70D8E88AB654186E076C

Key	Value
MD5	B478319DBBE9354543B0B5351783F57B
PackageArch	i586
PackageDescription	This package contains files for developing applications using numba.
PackageName	python3-numba-devel
PackageRelease	3.3
PackageVersion	0.48.0
SHA-1	198F569755E360661DE83335068F4ACB104DACED
SHA-256	BC60656B05681336BF4CD4C1D7A6DD29498D19E7E761F6DF074180C8DDBBB4A9