Result for 4F877D0A33BC53CC65B9D879E82518AC70971238

Query result

Key Value
FileName./usr/share/doc/bcolz-doc/html/tutorial.html
FileSize12880
MD56A249363F3848807E8F8B80EAA72C71B
SHA-14F877D0A33BC53CC65B9D879E82518AC70971238
SHA-256B44ACA5DBEF1793F6C37E52B17A524D760BC31AC7C427B1B58E5413F2BE0C8E6
SSDEEP192:c/+JnyAVAg/jWPLZFvofodDQBUxypIjLgDnwAJE:LnyOjWPLZ6fIwSonwME
TLSHT19A42737285F1D2334677C1DAEBDA1B29B1E6801FE5990808B2FD436C47D6E90760B91F
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
FileSize48772
MD50E7E103BC59AE5504723B7A0A5C8A2F5
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+ds2-7build2
SHA-1558E0367299389F79E15804E1320FD01031662F3
SHA-256D4800417B85CB24C3AD0F8823778991C302B1A934F50482223167BA2765FD642