| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/numpy/testing/tests/__pycache__/test_decorators.cpython-36.pyc |
| FileSize | 5917 |
| MD5 | E1AD943A781AAA94A702F0A4B2B1C744 |
| SHA-1 | 04B867552FF5D4EC527EDA5F51BC14228D6D4ED0 |
| SHA-256 | 0B387A7A3BB67C4520DECC99F09B80865C962DEBA687C1959A513826C83B4AF0 |
| SSDEEP | 96:1CliWZlqc300I/q2I/qOqIvqKSdawqRawqiqNHSqN2JWawqQawqoIPVRcSsp0lxE:2t/qcEh/qr/qOqIvqKSTqvqiqdSIGqqI |
| TLSH | T150C110E62A8BB516FC3DF3FD812E53220A64E707435A85739421818B2D9F7CD1DE468D |
| 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 | 79913F8AED1EA8CDB980D5703FBFBB7D |
| PackageArch | aarch64 |
| 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 | 1.el7 |
| PackageVersion | 1.12.1 |
| SHA-1 | 89A376363893932DA559CD10BE365D9324A5A334 |
| SHA-256 | 296509B21BE3405F704770566DE40ECC5F67D7C7DD016F705B408735E60B7544 |