| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/numpy/random/tests/__pycache__/test_random.cpython-36.pyc |
| FileSize | 30879 |
| MD5 | 15DA250DFC486F9B0A2FECB1D417FF20 |
| SHA-1 | 011D46E6EA49E993836B01143BD1D18EA15A0BD1 |
| SHA-256 | F84589E41CDBA077A6842FCFD3821723830871561DBFF09322054C133D561E3D |
| SSDEEP | 768:4X1q4mCXolX/zs8nqJBbNgaYANd0/7pHjgVeHKtTKzx9pX2ur/kInRXJhyhB0fcj:4X1q4mCXolrVqJBbNg1An0/lHkVeHKtN |
| TLSH | T16ED21F8C79873D46FF60F6FDC4989322423BE75923CAD67B1820C49AEE442C46FE1659 |
| 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 |