Result for 061B5091F60D7B025DFB029CEC02E9185821D8D6

Query result

Key Value
FileName./usr/lib64/python3.7/site-packages/tables/tests/__pycache__/common.cpython-37.opt-1.pyc
FileSize13715
MD524AD8BDCAD16F0B29F000679B7A5AC30
SHA-1061B5091F60D7B025DFB029CEC02E9185821D8D6
SHA-2562BC7424D07D52714D24EBFFBEAC9F4F058A58D5CFEFE468F93BDAB44C0FBFDC3
SSDEEP384:/YhDWEjB1haFj2Lod9KdKtrGHbiXIHeiV/K0/UR:/YTrd4trG7JHBVbcR
TLSHT1AD52C84AA782AE7EFC94F2BA801A1350CB249379534D5532B40DD68A3F471AD1FB1BDC
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
MD53F4F8EB84A8D0D8358A59D6EC68952E4
PackageArchs390x
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.
PackageNamepython3-tables
PackageRelease9.5
PackageVersion3.4.4
SHA-189DFE0F81B91C657BA48D075CD502D34EE53E51B
SHA-2561192ECC7941875B1598FE11D76FEA527FB2581C28E1F80DCCEB628F6A097BC93