Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/tables/nodes/tests/__init__.pyo |
FileSize | 211 |
MD5 | B52FB7E7D9153A7FBD1FEE0877606838 |
SHA-1 | 013DE942D7853FC765756A6B7DA396FA700A1627 |
SHA-256 | 4B15DC7F169D334CB7036112E0EABC07037DB04104CD17B728DE10EDF33D9580 |
SSDEEP | 6:8Cev/sD/sWCZiBU/4GeuY9Y3xmDrrTcRaJ:8Cev/ycF/4GeuYfkgJ |
TLSH | T156D022B06BBA1293F12A9870620002175548E0BF616666E3B088001A0CCD08C0C3B80C |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 332158C48163C7B7B7C43A09290A0874 |
PackageArch | s390 |
PackageDescription | PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. |
PackageMaintainer | Fedora Project |
PackageName | python-tables |
PackageRelease | 2.fc20 |
PackageVersion | 3.0.0 |
SHA-1 | 37B29A083E81778CFE7738BEFF9BED97BE4515E6 |
SHA-256 | C5519B98360C14C7EFED08F35338CD0502C96C7CC16C99B62B501C6F1DA1DDEF |
Key | Value |
---|---|
MD5 | 68BAB6B785FFFCD648BE26AD1D11668F |
PackageArch | ppc |
PackageDescription | PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. |
PackageMaintainer | Fedora Project |
PackageName | python-tables |
PackageRelease | 2.fc20 |
PackageVersion | 3.0.0 |
SHA-1 | DF15BE7DC9ABB1E1B93B41C80C6E44CF8F652266 |
SHA-256 | 830865F6C027F0B2E6076F4A6AA5FF3BD1AB751E564F11ABCC1330A30994E36B |
Key | Value |
---|---|
MD5 | 2C52A589BDAFD3E00B279EF974DD420E |
PackageArch | s390 |
PackageDescription | PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. |
PackageMaintainer | Fedora Project |
PackageName | python-tables |
PackageRelease | 4.fc21 |
PackageVersion | 3.0.0 |
SHA-1 | 1C91BF2B0EC4F437B6339DFC9F52A36123C4095D |
SHA-256 | 47313DD9ED4C61AD2614818A5B19FE4EB41A2FCDF066AF96DD8F2F65BC02FDA0 |