Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	D65EF1327CFFE90BD34339CEA95CBB54
PackageArch	s390x
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	59B8813895363BE77A2654D4C73AC1631508AB7D
SHA-256	603F94E9BACCBB6C25795A0CDE24A27E31526E3BEFE20CFC94A76C9B6FB452E7

Key	Value
MD5	A468A8B7E0D5F7D6737D5D9471EE64AE
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	lp150.2.2
PackageVersion	0.37.0
SHA-1	B6DBF5D361F4DAF825D102095448874F8EE42FC7
SHA-256	F3A7D8B1BBD684490D46DB76CB788462CD5E2D8CC349BE24FA6FBFE18EB76924

Key	Value
MD5	96EBFB83462B114948975FE6B88140E7
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	lp152.4.9
PackageVersion	0.37.0
SHA-1	911DAE05FDEC926558D18464E5866D1626C49CDF
SHA-256	B72678EA2F8B14658521F3F53C1DB67FA47D30AB72F00867B91D9F585832AF08

Key	Value
MD5	3901E1A30285915930CD14CC7F2318A5
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	lp151.3.5
PackageVersion	0.37.0
SHA-1	B17A33FD235B79BC695B319AB85C426DEA8A1968
SHA-256	76FA84AAF30E0E6FF14E62028E1584E71ABD2674CCF8C939C955D9792B0915B1

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