Result for 001C8A88B8D7745380E2A4462AA0582A56842146

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/numba/roc/hsadrv/__pycache__/drvapi.cpython-38.pyc
FileSize16620
MD5FF064E2C79F5DB56E6823F56FB2C0F70
SHA-1001C8A88B8D7745380E2A4462AA0582A56842146
SHA-2565D95BCB8E364A09CDD17559250F16CFAED4173C74A4B56DB9DFC4FBE867B7C9B
SSDEEP384:ya/5ZruuuBzXuQnxf7b0TnGrOkN8qGUPg28ox8X6E:3DuuuBzXVnxf7b5N8e38a8X6E
TLSHT1BF72A903064DAB5BFB91F330A61950207EF492B467ECD562FED4C209D68B235453DB67
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
MD5B764D08CFAEE3AF4221DF7215859120B
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.
PackageNamepython3-numba
PackageRelease3.3
PackageVersion0.48.0
SHA-19EE3AC165B646510E966FBAF13E4F1739D692098
SHA-256D1B9933DC5C1E5226EECEEAE67919520C41E0CB57825907771AF1433D9450C71