| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.4/site-packages/numpy/core/tests/__pycache__/test_dtype.cpython-34.pyc |
| FileSize | 25111 |
| MD5 | CBA914544800093B4B1B9A4E2A16B39C |
| SHA-1 | 00A3A2C3B27DF3D9D274F22A35ECA57A0A624678 |
| SHA-256 | 65D440C418029F77B6E915853AF7F854BB81AE288FD8DC320B494A8925E57C7C |
| SSDEEP | 768:spZEyY6A2YbxOJkfXGhEljg4l9Ep1ylAv/pqMy3vnn9hGE8D/Y3/gA9orMuzaD1h:mZrRA2FCuhEls4l6pwlApvy3vnn9IE+u |
| TLSH | T191B2FEC277C79D8BFA50F3B6E674A314EF7AE50A6B019B0582E1E03E3DC43991C26195 |
| 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 | 6F90D889AA4C8DB47081438ECE469DED |
| PackageArch | aarch64 |
| 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 | python34-numpy |
| PackageRelease | 1.el7 |
| PackageVersion | 1.12.1 |
| SHA-1 | 3BEDD226F880734F2E7AE01EFB72FD7AE02A5DD5 |
| SHA-256 | 83B0F0132EC46BEDBD770B807B565DC4D603E4BD977C5956F4E25E42EE372988 |