Parents (Total: 78)

The searched file hash is included in 78 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
SHA-1	01094331C315996BD9740D19E85E15A36C1C2286
snap-authority	canonical
snap-filename	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695.snap
snap-id	XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695
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_695.snap

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
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
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
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
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
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
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	DCBFC246B43931DC15CE79952EBB4407
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	51.3
PackageVersion	0.53.0
SHA-1	17B952067229CC3FCD88CAD669A603E60B4395B5
SHA-256	5A264DDF0E77D82DBFAF36A40B2AA9C28F93C0E130A8317FDBD533F827F8A0D0