| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/numpy/lib/tests/__pycache__/test_financial.cpython-36.pyc |
| FileSize | 6104 |
| MD5 | 6C111FD1FF811804036C5480BF392C85 |
| SHA-1 | 017F4A778B1F5A42CC2D68D714926B9C1A49E3E6 |
| SHA-256 | C477B49AF45899BF41C78A7FBDC1E5ABABBF0212819C8105E7BD13014FB94EFC |
| SSDEEP | 96:UlT1ZGlfr94zD+2Lyw8+pj1TtrckZiNd57PauxBwWiPPZDLtn/fJHsbBRgl1u7nD:Y1ZGlfRyJLyw8+pj1TtXZR8gln6v4c |
| TLSH | T17DC11D538581CE29FEF1F83CC1E513025A75CA193965D2AA4E10D49EEF4B6DB08A37DC |
| 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 | 2B0266EE61EF88E4A20BCE8268BF1C0A |
| 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 | 3.el7 |
| PackageVersion | 1.12.1 |
| SHA-1 | 66ED7222D1E4DAEA23F414120B0B8BA6E888CFF5 |
| SHA-256 | CCBA0CDF3DBCEC5B135D8E12C3090AAC6D288EBC30A9E33AADDBA411922779CD |