Result for 05C6ADE27671BD6C321FA7FB0DC09B4AD842C74D

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/tables/tests/test_basics.pyc
FileSize94552
MD5C01441CB545EB23275A94B9E093470B7
SHA-105C6ADE27671BD6C321FA7FB0DC09B4AD842C74D
SHA-2562B663D6F763715B78F532DF1A9296EE98861B71DF9D11D047F7BD250E6162222
SSDEEP1536:z4TBsCaw93TosjHLCh5yvP3kjVsH9FyWngED7Qdr7XCAb4U3bePbo2b2uj4uD/KW:z4TBsCx3T7LWfc3gSdFyc7Qdr7XCA8Uc
TLSHT1E7933381B3A369ABC19191B192F03317DEB6F0B39201679122FCD1397AD5369D8BE3C5
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
MD5178213644B5716C790F6302926E132DB
PackageArchi586
PackageDescriptionPyTables is a Python 2 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>
PackageNamepython2-tables
PackageRelease4.mga7
PackageVersion3.4.4
SHA-1D43FD9C8A8B84F561DA61652FCA113EEEF25D716
SHA-25601D5B5E89CE1A71C67C25EB41A77E173BCC54687276E9F8D4143AE2497D2CB78
Key Value
MD53B2002660F2CA0CC4221AF85BF3F3D76
PackageArcharmv7hl
PackageDescriptionPyTables is a Python 2 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>
PackageNamepython2-tables
PackageRelease4.mga7
PackageVersion3.4.4
SHA-1BAD8F0A03D164A38246005A3AD4DD5145E803C64
SHA-256B6FCF94387318EEA5BB05B3BA570888AB62DD28B0F9C0C70F451F1530D50A6B5