Result for 083B82911EB2DA90CB8E75B3FF37736BA7FF0338

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/tables/__pycache__/parameters.cpython-38.pyc
FileSize1617
MD5CF8BAE9740E27CFB7C617918C7DDA065
SHA-1083B82911EB2DA90CB8E75B3FF37736BA7FF0338
SHA-256A84F6EA7D93A310D6D417CD07803EEEE8FAAFB2C8AD5F1378F8AF9C257988580
SSDEEP24:GsSGsIqE2SOQkBoJqwffpv7sXPgsVZyvTnitnuY8PC6t2L2yAiwuiNS:fSGf2SOVeJqwfZYXIsjyTnihuYiyAg+S
TLSHT10D3151EF84521513D04593BA3E8212A62BACE9D83EFDE646EC5E005327FB7403004CBB
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
MD5AB7B34D5024AD081AC5FC507D624B8C9
PackageArchx86_64
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageNamepython38-tables
PackageRelease19.1
PackageVersion3.7.0
SHA-10C74B2021084218CA8BA3362877D58B5FFF979C0
SHA-256079C0DC3DFB2A2E4BE99F435CC7D4033A3253E8B96E5DB38D872EEF5319B9B99