| Key | Value |
|---|---|
| FileName | ./usr/lib/hpc/gnu9/python-numpy/1.18.2/lib/python3.8/site-packages/numpy/distutils/command/__pycache__/install_headers.cpython-38.pyc |
| FileSize | 1077 |
| MD5 | 8DEFAB3B8D39136655AA728157E8B1BD |
| SHA-1 | 01B84861407E0C3A36264D2103D064250EFC2677 |
| SHA-256 | CF17CA624DDC9859D11515D441343A3E5EACDFD71235C93BF55DC795E8F9E36B |
| SSDEEP | 24:Ovu/xi291hIgXjZaYZvtSxKfdcj4egvaME8oMu:OvOJPhIYjLvtSxKfdOyaH8/u |
| TLSH | T1C411255CC9385460FD9CF3B850339A3404B52EB947BC502216E1B5F70DCE58B85F289A |
| 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 | 24D30A3394F1A528F2996BF506EA4F55 |
| PackageArch | i586 |
| 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 which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. |
| PackageName | python3-numpy_1_18_1-gnu-hpc |
| PackageRelease | 2.1 |
| PackageVersion | 1.18.2 |
| SHA-1 | 2A291879761F992106202C81FF126BF0985C7653 |
| SHA-256 | 1837C1988EF3A8567D557E876E515DE793E55CACFBE8E3FD4D7F2341D5AC45FD |