Result for 027744D0AA6C32A02AE18A87F640C6BC97A186B4

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/tables/flavor.pyo
FileSize12624
MD5B52204BD899EB78BE29DF0C73A1A9814
SHA-1027744D0AA6C32A02AE18A87F640C6BC97A186B4
SHA-25641E5ED9079B8D7A22CCA2A6D5509E7482912A0206D0A469E3F6EF2D43FF5C754
SSDEEP384:2+Dkql/rcqoCaS8xQFCJjfm3PBmujfTtlseKYYJTYoBea1xV+/0lQvcwZOP:2+Dkql/Yqo3S6QFCJjfm35mefTtlseKj
TLSHT14F4231C8A3A43A7BDE92797594B052179B25E1779203778030ADC0BB2FD42A9C43B79C
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