| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/numpy/lib/tests/__pycache__/test_financial.cpython-36.pyc |
| FileSize | 6104 |
| MD5 | A14177D1CFE6EB2C0719C39D9F607A00 |
| SHA-1 | 00C614AD0CCDEED7A684C3031D3A99ED6230FD3D |
| SHA-256 | DE71C18250078B8649FFB49E8D48C56C1001969C6D552CA5154D6AF789FC5EB2 |
| SSDEEP | 96:ClT1ZGlfr94zD+2Lyw8+pj1TtrckZiNd57PauxBwWiPPZDLtn/fJHsbBRgl1u7nD:i1ZGlfRyJLyw8+pj1TtXZR8gln6v4c |
| TLSH | T1C6C11D538581CE29FEF1F83CC1E513025A75CA193965D2AA4E10D49EEF0B6DB08A37DC |
| 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 | E7365AD55F386F3F7C85DC25E9646CF3 |
| PackageArch | x86_64 |
| 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 | 3.el7 |
| PackageVersion | 1.12.1 |
| SHA-1 | F4220CAF94D1F6ECE999F20F39974510CBF92A1C |
| SHA-256 | 339FFFEA2B1523DA021106BC1C8C48778E1371F7D229A234668D10F961A158CD |