| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/numpy/core/tests/__pycache__/test_indexerrors.cpython-36.pyc |
| FileSize | 7825 |
| MD5 | C19A0D5214599E69650F91E033A85BA6 |
| SHA-1 | 00DC6A998914E5AC5881DB6E89570CC4F632E81D |
| SHA-256 | 932E45FCA567889C280187674495FCA087234A5B1D90404FB3D28A0420416473 |
| SSDEEP | 96:ieA57ID6Bt6qG5clfimkdBSdZKdRidYycxOk/zo+NlfaSVDaykZh4O9h4pRQp7Uf:QxrG3XdBSdZKdRidYxgJ3yO8W7gN3Nt |
| TLSH | T14EF1CE84A6558F3EF9ACFFB67A5D03100A2E516A174BF343782440DE7F447CD4EA9268 |
| 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 | 98C2D23AE8626687A46F08BD8DA65635 |
| PackageArch | aarch64 |
| 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 | 6A46B1CA0C80AD2FC9A8DF05451E9BD13C7104F9 |
| SHA-256 | 14CFA64D82764CC7EA25F19B74A1C8B41DE4D2D28E1CC82F2692E7AB628A7B6E |