Parents (Total: 34)

The searched file hash is included in 34 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	8AC15F04554BE845A3321089D6313399
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. 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	02084C3E85C4C817D8A80A69A7AEEF3F21FBB66C
SHA-256	EDDD5607A00BB1A9B537D795AE58ABF5B7D6F1A415388FAF68AE65BF76CE0904

Key	Value
SHA-1	0BD43A023CD2ABA0D757FE61CEADD4FD43C8C403
snap-authority	canonical
snap-filename	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620.snap
snap-id	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620
snap-name	root-framework
snap-publisher-id	VoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2020-11-27T06:22:05.033990Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_620.snap

Key	Value
SHA-1	0F71C9FB9C5B965C58FB46EC31C5FEA0E1E3E204
snap-authority	canonical
snap-filename	Eh5d6hCnbpqR36tMfSRYZaJ0XIaSVHej_52.snap
snap-id	Eh5d6hCnbpqR36tMfSRYZaJ0XIaSVHej_52
snap-name	genx
snap-publisher-id	FUnuZbmzWeQWDhvZd0RDvz2YLL3AtBaM
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-12-07T16:46:24.001065Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/Eh5d6hCnbpqR36tMfSRYZaJ0XIaSVHej_52.snap

Key	Value
SHA-1	14D08E836699F25B7DF5E0D4579D04287835202C
snap-authority	canonical
snap-filename	Eh5d6hCnbpqR36tMfSRYZaJ0XIaSVHej_12.snap
snap-id	Eh5d6hCnbpqR36tMfSRYZaJ0XIaSVHej_12
snap-name	genx
snap-publisher-id	FUnuZbmzWeQWDhvZd0RDvz2YLL3AtBaM
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-12-07T16:46:24.001065Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/Eh5d6hCnbpqR36tMfSRYZaJ0XIaSVHej_12.snap

Key	Value
MD5	A0AEF1A1F46462CE576086ADA210A8C0
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. 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	python310-numba
PackageRelease	54.2
PackageVersion	0.55.0
SHA-1	297B2449B4F41EB96682B29B02B90560FFE01CBB
SHA-256	EA6A39D2F86C01613A72176D89C97C7916E1D0737D69435A260861986D6BD828

Key	Value
SHA-1	30341D440AFBD844E9E01A4F4AC40042F0FD3FA4
snap-authority	canonical
snap-filename	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_667.snap
snap-id	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_667
snap-name	root-framework
snap-publisher-id	VoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2020-11-27T06:22:05.033990Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_667.snap

Key	Value
MD5	31D9A25FA6C440A99D34627131162F51
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	guillomovitch <guillomovitch>
PackageName	python3-numba
PackageRelease	1.mga9
PackageVersion	0.55.2
SHA-1	3233E9E66D46A5FCF384607D717E1471161A009F
SHA-256	3302376960E7FCE570B56B69A859B1E65A6264E748086215F8315BD8858886A9

Key	Value
MD5	291F81141DA18C9CA104B812FC707BF0
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	guillomovitch <guillomovitch>
PackageName	python3-numba
PackageRelease	1.mga9
PackageVersion	0.55.2
SHA-1	441B0EA8C48B28DC9D257FC474DAD51C6D137F38
SHA-256	0A57C19DAA59FD4F8599355773B29C5B2E878178C276E30B27EFC40300088450

Key	Value
MD5	97E94D74F0F3A4629830C565DF9D8D6C
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	guillomovitch <guillomovitch>
PackageName	python3-numba
PackageRelease	1.mga9
PackageVersion	0.55.2
SHA-1	4678FEA1D00CEFC5D7C10E44E3B0DA971AE1AFC4
SHA-256	9459606DC4C651DA6EB39138FBD7578DF5260705EA4D85DA96401FDC3524399F

Key	Value
MD5	71D66A3498F552992E6CD538925A2BAA
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. 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	python39-numba
PackageRelease	54.2
PackageVersion	0.55.0
SHA-1	47AC50676A3920262B3D67238A2C84D9F153C9E4
SHA-256	DF6781B2E29D9D300FE3E09E0F449980B0235DCD1A2BE147D0064F93F0271AA6