Result for 005CF89F8E7DFC47406CECE8EF0386177CF52B25

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numba/tests/__pycache__/test_ir.cpython-36.opt-1.pyc
FileSize15883
MD5A7704B90D830E6614D4E180268EF0DC3
SHA-1005CF89F8E7DFC47406CECE8EF0386177CF52B25
SHA-2566AE05C169383FCE48B4F1659A34AD64FF0C7F4AABB1481F78D898682B13807B7
SSDEEP384:r+Z+5Y08XZ+i78vHmAy8SPjkb/PejQaB/8q8iBQ2jaLvF6yiDNNa:G+5eZ+m8vGfPjk7PejQaB/BQ2GLN6tDi
TLSHT12A6230CC98539E4BFD17F3FC9F6C0ED20D34A96A234E9122806551EA6F886D91DE1C2D
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD50C04AAD870FEEEBA60F7EA420C70FAD0
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
PackageRelease44.1
PackageVersion0.48.0
SHA-187894AE6B9EA7EE72CE95B6EB6E6703AAEE29C8F
SHA-2562DEEBFEFFF7FBAFE10AEFF8EADCEACBB82DFB587D57431F955E6B1E933FADD5B
Key Value
MD5E49D476075169CA9191664F30E6DE118
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
PackageReleaselp151.3.2
PackageVersion0.48.0
SHA-143BA13C1802B5F852050F73BA2BF7507F1C60861
SHA-25637B5272CCDF09310FB607B14CAD201FFC8D59F83831E6B6903A42A0667F62DF3
Key Value
MD54F9BA253BD558CE651F3B0BF44AB8DCE
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
PackageRelease3.1
PackageVersion0.48.0
SHA-1749F0CEFC80840C6EE96E714BB6C39D75609DE1E
SHA-2569F4AA8A68BB749FAC735F0483B35A176D3E69E0C9180CDA79377F0A6042DECCF
Key Value
MD56D796110A14D6E4A5AFE6175DBCC55EA
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
PackageRelease3.2
PackageVersion0.48.0
SHA-1A5FDFF39BAB7CF7DB86796362A1ACC13B9DF4D30
SHA-2567442F86AF7FB69835299E496D253404CEBDF1562C1440DB8459A2A11306C171A