Result for 009EC7EC8919D3FAF26D7298F7A9CC29183102A8

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/numba/cpython/__pycache__/enumimpl.cpython-38.opt-1.pyc
FileSize2524
MD5B5FD99E6E00C8AB89B66391DECEE35A4
SHA-1009EC7EC8919D3FAF26D7298F7A9CC29183102A8
SHA-25626352714B9AEF24C1E6EDC21CD1EE865AC66D6BCA34FB230AD889B085FAB049B
SSDEEP48:SPIV4p8mIHdwTwsET/Pk6ZxcwS8EvtcrgKNcVuWAYbZqf7zFMUZP5ma:SgqLKsQxZxXS8EyqVZAiShh
TLSHT1D35183E14C02AF6EFD6DF6FCA15E6E006E2113B6E2C42049BC18215ABF8519422BD296
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
MD54389388F8F16A2ED893C64CF0A9F9E7B
PackageArchs390x
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.
PackageNamepython38-numba
PackageRelease51.27
PackageVersion0.53.0
SHA-1606EFE2580C6310573F9A60717B59D306C17F467
SHA-25675F8D31F4D17AC99B88215F53A3BDBD39B6C74E650B79ACE1FF5B71DFBF61FE3