Result for 0129B4E5DA7AA1A26574C8D9DD5442638C9D3B0A

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/numba/targets/base.pyc
FileSize43512
MD5B799DA147690FE503697F42C874C5A4D
SHA-10129B4E5DA7AA1A26574C8D9DD5442638C9D3B0A
SHA-2560D24E1764FA903D7BC761D420B11AEE68B8FE72F2644E8115F67F9ED95242497
SSDEEP768:clMkhzgiyjvkMTHPQ7ie9CDPZtYV76r3aR6NsJ6RSlNEHZJEtF6pW53wxdPh9ziz:IMkhzgDzkMTHPQ7ieEPZeV76WR62J6RY
TLSHT117131080F3E259ABD66615B895F1021B9FB9F0B322023B81726C953D3B543B6CD7B784
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53901E1A30285915930CD14CC7F2318A5
PackageArchx86_64
PackageDescriptionNumba 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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-numba
PackageReleaselp151.3.5
PackageVersion0.37.0
SHA-1B17A33FD235B79BC695B319AB85C426DEA8A1968
SHA-25676FA84AAF30E0E6FF14E62028E1584E71ABD2674CCF8C939C955D9792B0915B1
Key Value
MD5A468A8B7E0D5F7D6737D5D9471EE64AE
PackageArchx86_64
PackageDescriptionNumba 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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-numba
PackageReleaselp150.2.2
PackageVersion0.37.0
SHA-1B6DBF5D361F4DAF825D102095448874F8EE42FC7
SHA-256F3A7D8B1BBD684490D46DB76CB788462CD5E2D8CC349BE24FA6FBFE18EB76924