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	71D66A3498F552992E6CD538925A2BAA
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	python39-numba
PackageRelease	54.2
PackageVersion	0.55.0
SHA-1	47AC50676A3920262B3D67238A2C84D9F153C9E4
SHA-256	DF6781B2E29D9D300FE3E09E0F449980B0235DCD1A2BE147D0064F93F0271AA6

Key	Value
MD5	F153423B8725959B6601D2C7B3469B30
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	python39-numba
PackageRelease	1.1
PackageVersion	0.54.1
SHA-1	A007C017DC97F5610EB470F1014B2A9529AA0ED7
SHA-256	708D9C76533CE88D2767AE84B0003F2499D54F28842009266CDE226B6EB34459

Key	Value
MD5	85B3AF7742FB14EE3CAB412F7DA54F0E
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	python39-numba
PackageRelease	54.3
PackageVersion	0.55.0
SHA-1	DB7B2AA59BD4F7F1B597D1375994E26C17E839D1
SHA-256	AC006DB424B7DBCCE939FAA47C428201C398CF2264D0E4BDE6A0C56FA6EFEF89