Result for 01795E4F941727191B0C0E2C0A8202DCC3D6517F

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/numba/tests/__pycache__/test_try_except.cpython-38.pyc
FileSize23901
MD5F4ACDEAF594A476D3A9700C8EAC77187
SHA-101795E4F941727191B0C0E2C0A8202DCC3D6517F
SHA-256DECF5031410FBB9803C4327C1C879923DFA2E0AC4722B5BF6A80F3D8C22B6582
SSDEEP384:D6ED2z4Dw036AovO+n85fgMgK+DOEjT0fjL1t7/ASc:D6EKz4sbMgK+yyct7/rc
TLSHT1FDB275DF22834F1BFCABF6F5886D1128D63993AA874C87535141D68E2E403C92CB16DE
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
MD55D2E84100ECF4FB9E2AE48FB17450A4C
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.
PackageNamepython38-numba
PackageRelease54.3
PackageVersion0.55.0
SHA-1C7452AD002F685D37EF92E82E49758BDEC0D783A
SHA-2569D07AF4742C09184FD303A7D4D2A7EB32D907EFBAC196A25BAB13B0E02B6259F
Key Value
MD51002CF0734BEC63A81716ADDB16F7A4C
PackageArcharmv7hl
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
PackageRelease54.2
PackageVersion0.55.0
SHA-1920E492626E6F5D17306C009D43BFA50F6D0299C
SHA-2568A608921A44F2D7091F0C15B2E6E212BD2DD9FAC758713EA454880099A6DDD16