| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.4/site-packages/numpy/lib/tests/__pycache__/test_io.cpython-34.pyo |
| FileSize | 78086 |
| MD5 | AB7EE4B8DC417C8DB3AC178865D3CEF0 |
| SHA-1 | 032D8D262E0873679A95B031C176A263020B6BFD |
| SHA-256 | DE52C08E3EFF7C388162C66EF0C6CCD190697CD8B4275CE212E675AE62018749 |
| SSDEEP | 1536:nbV684Uo5j2dNUZGWGi/0iQi8bg4uanpoq9xZcs/IS7knNYLECYPXM2F3dlUKqEm:nbV68495j2dNGGWGi/0iQi8s4uanpokT |
| TLSH | T170731D42B7E68D5FF964F2BAE0388321DFB5F40A2F001B0966A0E43D3ED4B855C692D5 |
| 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 | 0267040506935B71B39F889A79C4F73A |
| 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 | python34-numpy |
| PackageRelease | 6.el6 |
| PackageVersion | 1.10.4 |
| SHA-1 | 35C364D01C21E3C3136991BDE99C1966ABB19353 |
| SHA-256 | 559EE4FD1BADFBC54A48E429A18F220829DEA69858436CF695BBCBE6BA65C007 |