Parents (Total: 30)

The searched file hash is included in 30 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1091476
MD5	DC647D1F3C71B6CDA722B4F80AA7A1CC
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	0.42.0-1
SHA-1	0680957EA109F9F9654EFB7DF2836B8B6C96B0AD
SHA-256	037529AE6DEFFF871B81E899CCA48EA5741F358DAC3F3887D7C8644E8D946DFF

Key	Value
MD5	C97597D51252B0A73061F2A1AE7F3A8B
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	daviddavid <daviddavid>
PackageName	python3-numba
PackageRelease	3.mga7
PackageVersion	0.43.0
SHA-1	085A1D1DB0FCF076DEE72045ABD3369A0675E84D
SHA-256	B553BE7915A43086E32FA17444393C69B2DB379F4164FDB563DABF1D044A8D23

Key	Value
MD5	8B2EBD08D6BEC47EA5AA71D52D910A20
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	lp151.3.5
PackageVersion	0.37.0
SHA-1	13DE3EED8C75AB82F96BFB22B8B80A4F9352A749
SHA-256	A8AFFFCABC73831A59869BA2256013D3290F626F1F7E63D773E6AF5D6A224C64

Key	Value
MD5	2B5D78DB2A0DEB3E80AE4F2849EFC98F
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	daviddavid <daviddavid>
PackageName	python3-numba
PackageRelease	3.mga7
PackageVersion	0.43.0
SHA-1	1D35049195FC58606304876BAEF457E2B613496A
SHA-256	415B76DE63967174705986F47A7E1D8DE8F8C2E1CB363D8306D82EC883CAEC2C

Key	Value
MD5	8890CF490A99D514072A1239BA0E8D7C
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	lp150.2.2
PackageVersion	0.37.0
SHA-1	1DA817A714284E4AEE8C7BD60C215E1F2323B35D
SHA-256	FEBD65A8D31D2DEA56F232976BF2C0E4EABF47DA115CF6E49479D1B8763A9044

Key	Value
MD5	E08A0CBF31952AFBB217D5D1ECFB81D6
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	daviddavid <daviddavid>
PackageName	python2-numba
PackageRelease	3.mga7
PackageVersion	0.43.0
SHA-1	2BA84CB72B061A8C6806A2B5CE26E9FAD3AC7C28
SHA-256	BAF2FA5AB57E27CA9BB4914F2A3B57F7E8F5A08C787521B05FCDC5A807568BB0

Key	Value
MD5	2CB40BDC0BA7C2267551EBB707FED2A3
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	python2-numba
PackageRelease	bp153.1.18
PackageVersion	0.37.0
SHA-1	318A56466788FA2EC64C766FBAE947FF73CA7892
SHA-256	BDFC6190930AB3BB508660048259116264291F3E98ECDE3C19309A972108E7A1

Key	Value
MD5	1CA49C8F3652E96182B122F357A4D423
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	daviddavid <daviddavid>
PackageName	python2-numba
PackageRelease	3.mga7
PackageVersion	0.43.0
SHA-1	375E71C1E5AA03DEBF8DAB1FDBD982E6C5657514
SHA-256	CB9362F8A79BE166065ACA02937285EF99E59AAE12173582BB428086D86BB5AA

Key	Value
FileSize	1107960
MD5	D12F3E20B5F5C35DCC0A7588A3780EF2
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	0.42.0-1
SHA-1	43185E107B8BD407E00A04E430BEA6F6272BE387
SHA-256	5198A70E1A17FE415BF6E16D47871163A0C9DB067DAF5C0A05C827125881D238

Key	Value
FileSize	1114564
MD5	10A28E8793027B2CE57715BDA9E55FAC
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	0.42.0-1
SHA-1	4C5CEFC1D8499E70B3F87107048142D98B960C6A
SHA-256	E911351842788235822404D59F44830C683E2A1706172F63FE6D6BBF49762F48