Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	7E250C677779DB2CE266323F07C030E9
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	python39-numba
PackageRelease	1.1
PackageVersion	0.54.1
SHA-1	653AC357386A704534053478C755717F278F26E1
SHA-256	05194971C0F9BB327CC76D4678FD0982630CFED6D52CBB083A2B0AB6514502C5

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
SHA-1	D01D2D7AEF561873D0ABA03B29079D8D27638ED3
snap-authority	canonical
snap-filename	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_412.snap
snap-id	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_412
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_412.snap

Key	Value
MD5	F153423B8725959B6601D2C7B3469B30
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	python39-numba
PackageRelease	1.1
PackageVersion	0.54.1
SHA-1	A007C017DC97F5610EB470F1014B2A9529AA0ED7
SHA-256	708D9C76533CE88D2767AE84B0003F2499D54F28842009266CDE226B6EB34459

Key	Value
SHA-1	D982BBF50A22CED52926CC14BD6626DBAC258604
snap-authority	canonical
snap-filename	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_359.snap
snap-id	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_359
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_359.snap

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	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