| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/numpy/polynomial/__pycache__/polyutils.cpython-36.pyc |
| FileSize | 12184 |
| MD5 | 6491307DB61BE44266AF2658EB1DCD4B |
| SHA-1 | 051EABE9682D805840E3E98E9A0CDEB5A5A86BAE |
| SHA-256 | 8E1471BFB577D8C41C274A490081CBCFE1C5897D58E152431607147548C85BE0 |
| SSDEEP | 192:OZ7DxnvpTVba/GstEikMmlThRTrDT61n2JNctgDWZ2OtuJ1HoFDLBgIz6E213S07:OtDxnvpTVG+stWlThhDrASOtpRLKttDT |
| TLSH | T19E42C60D3D861ABBE3A3E2FA31EF1143C726D07B2285251934AF96791F536141BBC5AC |
| 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 |