| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/numpy/lib/__pycache__/index_tricks.cpython-36.pyc |
| FileSize | 24142 |
| MD5 | E09E389E15A2C01AEBBA030852B29812 |
| SHA-1 | 02A59B18087B141D4D32C39767375DE614178A62 |
| SHA-256 | C4F0F5B4169D43FE59BD3D11CEC93A61B46A5B9183BE39A0396D00C8274129B0 |
| SSDEEP | 384:pVjJhqfDzZTncYyMBz0uCZxn2FyCNBwPyHGyyykgBxotnnNXorNeOiJaLOCjvUw9:pVd4PZ7cVMxDa+NBe5tykgBinN45eOtR |
| TLSH | T19CB2E5561EC0067CF666F2FA98FF8F42C3648137628D2587309F55752F1A4288B7DAAC |
| 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 | 8C009189374D738736A9BEAAF7B904C7 |
| PackageArch | ppc64 |
| 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 | 1.el7 |
| PackageVersion | 1.12.1 |
| SHA-1 | 3B9092023D90F3E94A038BFD189332B1E13F7ADC |
| SHA-256 | 02F12DB1968A100CA94B2108B9752F9F89FF882186BD98D951B431A4FBEA16CD |