| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.4/site-packages/numpy/distutils/tests/__pycache__/test_system_info.cpython-34.pyo |
| FileSize | 6520 |
| MD5 | D62FC2EBA9E92501639DBAC68C654025 |
| SHA-1 | 016DE68F25536FF4CC4AC702B1C20AF1C962B9C4 |
| SHA-256 | F38DD42C04ACDED0F63176039D141350ED816DD8C9053742B374E8231F0323EC |
| SSDEEP | 96:rhvERDbGLZDRYgkm1KETfiCM/NxKSYxgCh7wKJ1RMqE7j5z0hg7UF0a1zQ53NOrm:raRDKBGeinFxExhwYpZF0V5q4TuAAID |
| TLSH | T101D164A0A387CD4EF1A4F6B16034232E9EB7D8557B01735126F4E13E6EC1389D675262 |
| 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 | 988FAF24637EB942525E7D0B4752911B |
| PackageArch | i686 |
| 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 | 67E9E435864FF7D809ED2C626359AD5C4183601E |
| SHA-256 | C86085A56BAD82194870FEA84FB3B90834E4D528ABF06F1B28CB4BAFA74EC0AF |