Result for 162EDCA3911EEE35949C8CFD348F64E03C78E7BC

Query result

Key Value
FileName./usr/share/doc/bcolz-doc/html/search.html
FileSize3549
MD5C6A46CBE92404163FCF28CE0EB97912D
SHA-1162EDCA3911EEE35949C8CFD348F64E03C78E7BC
SHA-256FFB8E52941C67CEE5C04C96A00A0897884AD3B4732D529693C10E3F71791D73B
SSDEEP48:4Vm9pfjDmHM9Q5x2D9N486LLq0kW6Zv+djUrPq5x2Du48X4DV:fjDms9Q2D9W86CnW6Za8C2Dl8yV
TLSHT122714E069CF1E413807286E7E5F2E916AD86D1179705A808B1DC46AD1FC2F888E4FB8A
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
FileSize51276
MD50B6997D1B66B4373B97C166577E6E385
PackageDescriptionhigh performant compressed data container (documentation) bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes. . This package contains the documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamebcolz-doc
PackageSectiondoc
PackageVersion1.2.1+ds2-5build1
SHA-131EE641B86F3960229EE1EF73BAFDAF5D9C6CD29
SHA-2560F314730A50EBD414F316FED1A5142FB0A63A2E664AA2B8AACC71AF84F75693E