| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/numpy/core/tests/__pycache__/test_item_selection.cpython-36.pyc |
| FileSize | 3528 |
| MD5 | 8E6D6914E892E1440896AF34AF986030 |
| SHA-1 | 04E39A10D852D72A69122374777D65423DECD40C |
| SHA-256 | DF11AFF740181045B087049E630323E7A0C5FFE6CF639C9F1549B0948DFFD5BA |
| SSDEEP | 48:k49V7OCmYKAra5h3TclmqKp8sJQjxsHcf7shB4VA74Bs04/uNGc8htRfvKb3ubI5:AYKuAVgUdJYzscVA7m46KvQgY |
| TLSH | T12471C6C802C21F57FE79F6F811E25511CB7AE32593889201EE0641AE5D4A3A52EBB64C |
| 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 | F3D0ACF4935B1B8F2066C0521F325F84 |
| PackageArch | x86_64 |
| 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 | 6C60DFDCE9572BC86A49FE9E3FFC02E0555D2A2A |
| SHA-256 | CEADEA5F1972E94D8966C76B7CA4FC27EFCD0B300AE1D5D3006AE43BE9028FB8 |