| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.4/site-packages/numpy/core/tests/__pycache__/test_machar.cpython-34.pyc |
| FileSize | 1500 |
| MD5 | 616E2FF07352AED6DB8D066D43FD24C8 |
| SHA-1 | 00A97EA14B280F430FB68483946B2893765B7BEE |
| SHA-256 | 65DEA9E8D37391B02BA8ACA2FBDE40B0221CF46E403A6A89F601C4272FB428A0 |
| SSDEEP | 24:gfID0l4AS/qeYNqmntTKRqIYn339uSL1rNdAE2LX79Frxybsdl6iiZv5uNNaioX:gVWUeYdKon3NxDdcLX79VxkQ6p5eZK |
| TLSH | T15C3141B0A3C214DEFD8CE3B5E0A6432357F0F86B6BA263061F8892360DC034A2920980 |
| 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 | DDE5F9FD6C49C19FAAD5BB5097437261 |
| PackageArch | x86_64 |
| 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 | python34-numpy |
| PackageRelease | 7.el7 |
| PackageVersion | 1.10.4 |
| SHA-1 | D0D8C8E27A9D4FFF267ADD822C85DCDC9061D309 |
| SHA-256 | C9D965B99E03D086D84DDC23CB06EF23C585ADAA6E459C47B43DFE2AF3246D46 |