Result for 018AA20F6920BC3EBAEA21A8BDE978F721CC01FA

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/numba/core/runtime/_nrt_python.cpython-310-i386-linux-gnu.so
FileSize32104
MD5DE3BA329849051DA77C6567A5C6572C5
SHA-1018AA20F6920BC3EBAEA21A8BDE978F721CC01FA
SHA-2561F78136507D4D9E2BCD1EB42E540F42AEF6C1DE066B39758FF6A08105CD3CAAB
SSDEEP768:EFEchJafTZ1maGwTu2+A/fFLp6NBMgT0Ims4uLXB258tHETJkvi:aGm4DyBMgT02tHETJk
TLSHT1E0E2E845764ADC76F2A043B4594A8776A331802927A3C2B3FF09539F3873345EF297A9
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD52572D5A2A691BA76730FD04EEC997D17
PackageArchi586
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.
PackageNamepython310-numba
PackageRelease54.3
PackageVersion0.55.0
SHA-177B666301A9BB52F71A483D72EB03ED536DEFD06
SHA-25674E817EECB77C38E08FDDC34E1A51EFDE5971116B2C7C1BD95EBFE0E8AE62C1F