Result for 09889239C1B576454F689FD2C7F666459186C5D2

Query result

Key Value
FileName./usr/lib/python3.7/site-packages/tables/indexesextension.cpython-37m-i386-linux-gnu.so
FileSize185464
MD59148AF65BDADA2E43972A347143C9C87
SHA-109889239C1B576454F689FD2C7F666459186C5D2
SHA-256B6FFAC7FB27A9328A817C3CCA719D0D4F4E801FCA96366E2C860016B1239198E
SSDEEP3072:BR1OeSDVqsF3rYtDGGiCju6LhgOUoOLB6I10hNWp5Gelz7k4SaPvv6E+NJ6JwpJg:P1LSZqsF3rYtDGGiCju6L2OUoOLf10hv
TLSHT12F040A55FBCBC0F6E26344B1039E6B3354708201C362F6E6ED892E6577353526E2E2E9
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
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