Result for 00E1D84D982ED8B5449A6F7C24A16D5DD8C42DA0

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/tables/__pycache__/description.cpython-39.opt-1.pyc
FileSize27088
MD51B03C3930750ACA7E0A1C8AE96A34462
SHA-100E1D84D982ED8B5449A6F7C24A16D5DD8C42DA0
SHA-256E927D7B047F589AC167011FC0F918E56759C7B68C430C2BB2561347E9BE47A06
SSDEEP768:ovlmoDSZhRZiqjqW/lUqDeaaIF1k2CKDsjV22Ee4fesgMxeS9Trns30YJ5PtR5my:o8RrRoqjqnqDHaIF1k2BeV22E/fesgoI
TLSHT1A6C2D4539E027332FC6BF1FA4D9E4121D671835B621191C1BCACC12A0F89BD29EB35DA
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
MD573206ECFEAE06A7D46E7FAAB26C6DF49
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.
PackageNamepython39-tables
PackageRelease19.1
PackageVersion3.7.0
SHA-15DFC91EA440C1018B6396BC3FE96170E2299B81B
SHA-256A50D5E176F0E203147DF9073A17035CB75FAB88E58647934D75AACC4202D28F3