| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/numpy/lib/tests/__pycache__/test__version.cpython-36.pyc |
| FileSize | 2650 |
| MD5 | 9107DFAF209E17EA2AAB5A7F0CB84293 |
| SHA-1 | 028E863B1B21F75DC9FA156020F3D690BB86584A |
| SHA-256 | 18548D19F67DC0269823BB645C6E8C3C9B985153ADFCB93BC3F219B34CD94987 |
| SSDEEP | 48:QNR10BmcGVfrT0zQ7VdJwjmt4WAsIQAGN4kfAVGlLsZ4Byr53DCzfTn941VTjR:aBrT0z4BcdstEiN1sCYr5TufTne3R |
| TLSH | T13D51FE916B88D9EAFD61F6BC80315B3C8376E27201D054636717C5AF295BACD0F22D48 |
| 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 | 774C11CFA31222E53F17845F59EE11E5 |
| PackageArch | ppc64le |
| 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 | 28A2DBFF1670ED40E2BB439C14460D8E24BC8068 |
| SHA-256 | 10A73526FD643A3DFD145751C12AE41CBB8E654D97138AA3942CBE7DE29CFD26 |