| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/numpy/core/__pycache__/fromnumeric.cpython-36.pyc |
| FileSize | 97139 |
| MD5 | 085C2AA1C8AC6D47A720FDE2E51C5E02 |
| SHA-1 | 048881597210FED5402B93CD2220D26EE31BC957 |
| SHA-256 | EC1B053000E3A50A3C163EAD738C3E66E0C716ACCB986F606F08C9C497FB1369 |
| SSDEEP | 1536:5RxxB11z7ToNFTqWd0fi5GHptYR4MRO9lDGCrCu1qpbpzpmar03iRc1/AZD0r0IG:5jDWqI0fiSY5u1Mmge1fr0IP4s9VKyqB |
| TLSH | T1FD93A30B3D89177E6253E1F666EF9487D324803B66652589308F7A342F26E34437E6EC |
| 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 | 8C009189374D738736A9BEAAF7B904C7 |
| 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 | 1.el7 |
| PackageVersion | 1.12.1 |
| SHA-1 | 3B9092023D90F3E94A038BFD189332B1E13F7ADC |
| SHA-256 | 02F12DB1968A100CA94B2108B9752F9F89FF882186BD98D951B431A4FBEA16CD |