| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.4/site-packages/numpy/distutils/fcompiler/__pycache__/g95.cpython-34.pyc |
| FileSize | 1660 |
| MD5 | 781D4E51A1F72B26505B56D24A920434 |
| SHA-1 | 00B4830ADF5EB28B51F910510FCBC2DDBDFC6E77 |
| SHA-256 | 4E569B86D1CDEF80D37362E68CFD0C5B707FB4D5656305D1F00E2DF3A4808673 |
| SSDEEP | 24:BRJay/qsg91g4q1wKhv8wRV6ErZZyQg3k6b/mgiwk9kvvkjAbDAHc5BGiMjRZKuY:TJaPC1wgUwn6EqQqN/Hiwg3IlvGBltYn |
| TLSH | T137311F78530C4ECAE619A3F8D35063022BF5DBE26E4463434D008069EFEE29D447A389 |
| 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 | 156D0345EA7E630030A1446A47707F10 |
| 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 | 1.el7 |
| PackageVersion | 1.12.1 |
| SHA-1 | 8B0655197DA77B25EA1C2F917619828E11E4C47A |
| SHA-256 | E456F3DB79B477920F275C8042698D68241CC5BB3A24253181FE2B2AF2C97E30 |