Result for 05DDFAEDC76EEA0B92CA80221D18EF49D785340B

Query result

Key Value
FileName./usr/lib/python3.7/site-packages/tables/tests/__pycache__/test_tablesMD.cpython-37.pyc
FileSize59137
MD552578A795463B6C80AC4F077C95D552F
SHA-105DDFAEDC76EEA0B92CA80221D18EF49D785340B
SHA-2567062EE6C93B1D653C339FC55DD4D1E1C115811516F7EB04DF3BEA72A8CC27C69
SSDEEP1536:e3B4QEbxCx41lRbBf7OO+7hVuSU2cNMkTjUUnxZeJajJKBJDz:UfclRbBf7OO+7hVuSU2cSkTjvnfA
TLSHT12D43F88A15D12E09FAE4F5F014A5035CEB19A3936784CED2F306B2E62E515CE2FB24DD
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5CD08099E2E87979E271133DE4CFE7685
PackageArcharmv7hl
PackageDescriptionPyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used).
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-tables
PackageRelease4.mga7
PackageVersion3.4.4
SHA-1B8971A1A1885CED5055EDFEDBA949825CA0E7C5F
SHA-25631963E992D370B9579380839E8B9C48022D00F996F1A786FF715485E7C982DD5
Key Value
MD57C82712F3B8B661AC34AC22C657F428B
PackageArchi586
PackageDescriptionPyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used).
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-tables
PackageRelease4.mga7
PackageVersion3.4.4
SHA-1F40C9EACC6BF21CE5935FD8D332BC5CD7DD13EA0
SHA-2569834B9F93C3295644160A6B7480EC9B681D65A128A6553A25E4FCF73691120AE