Parents (Total: 14)

The searched file hash is included in 14 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	3901E1A30285915930CD14CC7F2318A5
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	python2-numba
PackageRelease	lp151.3.5
PackageVersion	0.37.0
SHA-1	B17A33FD235B79BC695B319AB85C426DEA8A1968
SHA-256	76FA84AAF30E0E6FF14E62028E1584E71ABD2674CCF8C939C955D9792B0915B1

Key	Value
MD5	D65EF1327CFFE90BD34339CEA95CBB54
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	python2-numba
PackageRelease	bp153.1.18
PackageVersion	0.37.0
SHA-1	59B8813895363BE77A2654D4C73AC1631508AB7D
SHA-256	603F94E9BACCBB6C25795A0CDE24A27E31526E3BEFE20CFC94A76C9B6FB452E7

Key	Value
MD5	96EBFB83462B114948975FE6B88140E7
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	python2-numba
PackageRelease	lp152.4.9
PackageVersion	0.37.0
SHA-1	911DAE05FDEC926558D18464E5866D1626C49CDF
SHA-256	B72678EA2F8B14658521F3F53C1DB67FA47D30AB72F00867B91D9F585832AF08

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	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	A468A8B7E0D5F7D6737D5D9471EE64AE
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	python2-numba
PackageRelease	lp150.2.2
PackageVersion	0.37.0
SHA-1	B6DBF5D361F4DAF825D102095448874F8EE42FC7
SHA-256	F3A7D8B1BBD684490D46DB76CB788462CD5E2D8CC349BE24FA6FBFE18EB76924

Key	Value
FileSize	890796
MD5	7B9A616877F187219D082D044C43FBD6
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-numba
PackageSection	python
PackageVersion	0.34.0-3
SHA-1	DCB54C6B636D20494BBBD11F275FE27DA83566DB
SHA-256	F073F0554DC776808FE253562B2472219A044C9E29BC7C2B28B5AC407AB62DF7

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

Key	Value
FileSize	887436
MD5	05F590B28906799EFA95B8155ABE381B
PackageDescription	native machine code compiler for Python 2 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 2.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-numba
PackageSection	python
PackageVersion	0.34.0-3
SHA-1	FF2E12D5625B7FE7C9FF33302583BD0A2356AC5E
SHA-256	715469DA55CF5EBDE547595782C37BED81C9D1866733EBEF1468B03B41552C00

Key	Value
FileSize	886680
MD5	2AF55E644DF230772AD60F1E86FF8B4E
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-numba
PackageSection	python
PackageVersion	0.34.0-3
SHA-1	B11ABD6BB46CFD78DAC215E2D0560E8561CBAE4F
SHA-256	D68DA51C4BCD36CB5DA3A38760F84F0369779D17C4B33D410CBCB8BB13FBF153

Key	Value
MD5	2CB40BDC0BA7C2267551EBB707FED2A3
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	python2-numba
PackageRelease	bp153.1.18
PackageVersion	0.37.0
SHA-1	318A56466788FA2EC64C766FBAE947FF73CA7892
SHA-256	BDFC6190930AB3BB508660048259116264291F3E98ECDE3C19309A972108E7A1

Key	Value
FileSize	891296
MD5	7FB15E9FC2AE885EC44C977A981611D2
PackageDescription	native machine code compiler for Python 2 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 2.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-numba
PackageSection	python
PackageVersion	0.34.0-3
SHA-1	8846FBCD679B6C04BAAE9FAE6A620732FDE3B374
SHA-256	8559976F01FE40EC89E4CF09F90BFCA3D396E7600A448765AF6A3136AAF2E853