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	5D2E84100ECF4FB9E2AE48FB17450A4C
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.
PackageName	python38-numba
PackageRelease	54.3
PackageVersion	0.55.0
SHA-1	C7452AD002F685D37EF92E82E49758BDEC0D783A
SHA-256	9D07AF4742C09184FD303A7D4D2A7EB32D907EFBAC196A25BAB13B0E02B6259F

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	1002CF0734BEC63A81716ADDB16F7A4C
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. 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	python38-numba
PackageRelease	54.2
PackageVersion	0.55.0
SHA-1	920E492626E6F5D17306C009D43BFA50F6D0299C
SHA-256	8A608921A44F2D7091F0C15B2E6E212BD2DD9FAC758713EA454880099A6DDD16