Parents (Total: 3)

The searched file hash is included in 3 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
MD5	4DD5EB932768829652572CC647EF0BF7
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	python39-numba
PackageRelease	54.3
PackageVersion	0.55.0
SHA-1	FF47E3AC66EF868467ACBFFE1A32A777F506589A
SHA-256	592BD62CD26A0AD1B9A3A3F844378A23E9B7784C41C02282A52396D578A69AAB

Key	Value
MD5	9C84078D61357FE6993503AF5D441A31
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.
PackageName	python39-numba
PackageRelease	51.27
PackageVersion	0.53.0
SHA-1	C8761BA63F3A16CF11A7FD4319E398F7F3124C24
SHA-256	79E756AB2DBC796DB97DD8C02CB0684335F6643DB276C771846B35921F0B31F0