Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/numpy/lib/__pycache__/stride_tricks.cpython-36.pyc |
FileSize | 6057 |
MD5 | 16B2E34A9A00413A7A06EC20BA6A99B5 |
SHA-1 | 01A13DCBCE41258300ACB8E3BF8E797F4F2C7CD5 |
SHA-256 | 87B30287C7384AF91D5D0F906FE4B59B7EA42062E1DDEDBD5414DF95798F69F2 |
SSDEEP | 96:9mi8PSgM9ZUCXlxNykQkW4pMvqcfYj40vBNEz/eICV+xAVFmph4g3J1r3l9v1RhU:gsaCX1QkW4pMSXMwv2GkxSuZ5BJnRZKz |
TLSH | T1C1C1B584AF9A0FBEFD52F2F6E1C91A6AC620413B464CD102309F6D953F0D6AD1A791DC |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
MD5 | 96F1E09D933D373B32E122AE47C30A69 |
PackageArch | ppc64 |
PackageDescription | NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. |
PackageMaintainer | Fedora Project |
PackageName | python36-numpy |
PackageRelease | 7.el7 |
PackageVersion | 1.10.4 |
SHA-1 | B1CCAA7A355D9E011C723E3E00B47E8446A7886C |
SHA-256 | FB2DEBC3E677C4BABA71F9C43D29A4E385AF2D7FB2533258136DE29C102403E0 |