| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.4/site-packages/numpy/core/tests/__pycache__/test_ufunc.cpython-34.pyc |
| FileSize | 47010 |
| MD5 | CE2A1CFA4E4F3DAB7B7F40FD369A542C |
| SHA-1 | 00E4E2C43DA4464185860FB2CEFFC5CD3A487A17 |
| SHA-256 | E4CF063D917053EBF0FC31F66CDA39959F8BC05C5716624F66AF1DE6FEE29EF3 |
| SSDEEP | 768:QfrHX5prBsafJ7Z/TyEKYyhm/fceUn/Mqcg/LORdWR6ZgBYokcR+VItvYW1S9nBk:QzHX5prBspmXceUn/MqcoLORdWR6ZgBv |
| TLSH | T18923C792A78B499FF545F2BAA4742711DEB6F01A3F042B41B9ECD03D2FC87981D252C9 |
| 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 | 1E79F24F1CE2383809BA0458F954C643 |
| 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 | python34-numpy |
| PackageRelease | 7.el7 |
| PackageVersion | 1.10.4 |
| SHA-1 | 17672A0EDC2E9E0C83FED6BC39A2F15D022B1EBA |
| SHA-256 | E770185F352B907E2CF9FDF63655E53B11C4226E938CE1C687DFA3050DDF2FA4 |