| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/numpy/distutils/fcompiler/__pycache__/intel.cpython-36.pyc |
| FileSize | 6953 |
| MD5 | A8B4C44E35BFDE81E028F45627531AE0 |
| SHA-1 | 03729BCB622F705895F10E0651388FE94A7108F9 |
| SHA-256 | A47D45D86E8AD5BA0F6263773710F80C2ED1A27247DBDB01B599923279B4569B |
| SSDEEP | 96:PAeS9bSTqN/3iwkf7DfqfxLw6UOCEKawlJfWNDf5fBJf+PIQBC3jXVhfBQj1eJdA:Ok68spLwlJfkbiIQorekd0lz |
| TLSH | T114E196F883088D5AFD55F3FB834913114BE6C36A4B9C261B19059296FD8B1B60C3F676 |
| 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 | 96F1E09D933D373B32E122AE47C30A69 |
| 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 | 7.el7 |
| PackageVersion | 1.10.4 |
| SHA-1 | B1CCAA7A355D9E011C723E3E00B47E8446A7886C |
| SHA-256 | FB2DEBC3E677C4BABA71F9C43D29A4E385AF2D7FB2533258136DE29C102403E0 |