| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/numpy/tests/__pycache__/test_scripts.cpython-36.pyc |
| FileSize | 2751 |
| MD5 | 4D0A733B2B568C92395D7BF6247625AF |
| SHA-1 | 041F06326084B121499ADEEEE022EA80880DBD37 |
| SHA-256 | 0F9321CE1304D52572EA3C5CDF2102B1961D2966BF139C9CD9EF0465A532114D |
| SSDEEP | 48:DmAnBz2yIJQV3Yts5uXWlPowN37oVnIXPtBSPtQWyzrSe6ab7bXHZMjfy3IGsjaX:DmA58J4otNsL37oVnIXPPSPyWerSe/7f |
| TLSH | T13351D8CB5D863A68F7A4F07460B61206EB39926167CDA032B94D56AC0F8315C447E19C |
| 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 |