Parents (Total: 26)

The searched file hash is included in 26 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1514992
MD5	B1285EA3CDBBF12F55FFB3096B8AD0D4
PackageDescription	native machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-numba
PackageSection	python
PackageVersion	0.52.0-4
SHA-1	08F898DE47538FFC7B8D77EAA605E24A9C9D6A20
SHA-256	E8E4700868F11496000B64F613716A43D0FAEF07C6C2F6845CA0DD4AD4E69722

Key	Value
FileSize	1518892
MD5	00BB154353C3A44456E7C37357DC0CF6
PackageDescription	native machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-numba
PackageSection	python
PackageVersion	0.52.0-4
SHA-1	0E1B56774FA5E83D6319316258C88D07091A65F4
SHA-256	2896127B26DB22BD361AB9A88E8F1C06E83D0CD3701EA75872DC17EA196F684D

Key	Value
MD5	DCBFC246B43931DC15CE79952EBB4407
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	python3-numba
PackageRelease	51.3
PackageVersion	0.53.0
SHA-1	17B952067229CC3FCD88CAD669A603E60B4395B5
SHA-256	5A264DDF0E77D82DBFAF36A40B2AA9C28F93C0E130A8317FDBD533F827F8A0D0

Key	Value
MD5	325F3490BB5CECD5333EC821EDADAF91
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.
PackageMaintainer	tmb <tmb>
PackageName	python3-numba
PackageRelease	1.mga8
PackageVersion	0.52.0
SHA-1	17BB7FA2B3BA68DB92A6B0F8E95C2E4D76D56817
SHA-256	DE90D3E08A98050FBA23D4A59D3896495C43C1A533184F5E0F932ADA3461960B

Key	Value
FileSize	1502420
MD5	506A38845B05B88B72C41FD3FE3DF053
PackageDescription	native machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-numba
PackageSection	python
PackageVersion	0.52.0-4
SHA-1	181B729A4536B0B3000AD410D60110E415C4067F
SHA-256	E2BFBFC0BBC939A6EC3CAD13FB918F291CA16596436F70D8E88AB654186E076C

Key	Value
MD5	3B34138441C4DC8B67C553D0BB6C15F3
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	python3-numba
PackageRelease	lp153.51.2
PackageVersion	0.53.0
SHA-1	1AF6D5089D4B71988629C4F977698EA631443119
SHA-256	C0DECFA83E87374DCBB381B5171E68F6759B8FEC440A7EC57DB81703EA3E12FF

Key	Value
MD5	D70EA79722238EADFB872F44B6A1E9C0
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	python3-numba
PackageRelease	lp153.2.5
PackageVersion	0.53.0
SHA-1	3253B014B47FF0689926E07A511304DAB46336AD
SHA-256	747FF92B10647E7F5786C24596CA96587EEA8E13055C27E5748A8C8ABCA29107

Key	Value
MD5	AF765F3F63BFB27058677EE25F9B9E8B
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	python3-numba
PackageRelease	lp152.2.4
PackageVersion	0.53.0
SHA-1	49547D6D40D6BD13A779F81C9519BEA468CA201D
SHA-256	475F9880AA26015E5C571D947A2064B0D821A85D98F10C1A665ED924559569AF

Key	Value
MD5	4389388F8F16A2ED893C64CF0A9F9E7B
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	python38-numba
PackageRelease	51.27
PackageVersion	0.53.0
SHA-1	606EFE2580C6310573F9A60717B59D306C17F467
SHA-256	75F8D31F4D17AC99B88215F53A3BDBD39B6C74E650B79ACE1FF5B71DFBF61FE3

Key	Value
FileSize	1514356
MD5	651BB7FF573488A7B5B60756105A0041
PackageDescription	native machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-numba
PackageSection	python
PackageVersion	0.52.0-4
SHA-1	711F8A7129731E3505DCA87F817115A59F4DDEF8
SHA-256	5DAFFA46813AC405012BB71C204B22EE96BCEE61BD335551211D2F2C37E19DB4