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	C85A87532D4326D031C96ECEC1A57C14
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	python3-numba
PackageRelease	bp153.1.18
PackageVersion	0.37.0
SHA-1	9A25515A3F0F9F78CBAB1189A062D4EDAF8ABF0F
SHA-256	143E8AEE9EB4B3F087C5654D3AB1A61B0A88C1C7179A82AE6187182010467DCC

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	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	ABB145C90E8EDF6BAF060CE729CD7596
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	lp152.4.9
PackageVersion	0.37.0
SHA-1	86ACD8B62FCAD54DFD1BAE42614E4B528CB03D5B
SHA-256	7BADDE4B7B257F2D769CB8FC0065C5AA5536068C0B427303E68AD5468D81EAD6

Key	Value
MD5	3CE84EC00D5B4E3CB3FC71CD1C905B4E
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	bp153.1.18
PackageVersion	0.37.0
SHA-1	AB8B0F0F5A12AFC49DB0AB5FFAED5B73149860F8
SHA-256	FB18E153322A38793B99BD59782B0694A25A8F337CEBBCB39946095C5550AD95