Result for 3239E59B2BD7F2D1EA214ECFCB804945FDA76426

Query result

Key Value
FileNamesearch.html
FileSize3576
MD5000C8FD37AB5ADDF800ACCD97FFF1A47
RDS:package_id182052
SHA-13239E59B2BD7F2D1EA214ECFCB804945FDA76426
SHA-25682E4174F7124C86EE9FA9670F4D84882B4433F3055DA27FDF825739EC6FD6CC9
SSDEEP48:GmnpFTffFzl54DmHM9q5x2D9N4y6LLq0kW6Zv+djUrPq5x2Du4yX497:LTffFkDms9q2D9Wy6CnW6Za8C2DlyE7
TLSHT11E7152169CF1E8038072C6D7E5F6ED166D82D10B8609A808B5CC46BD1FC2F984E5FB8D
insert-timestamp1679424703.3593657
sourceRDS.db
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
FileName11139
FileSize50650
MD5509070D00AAB7A1DE995E390198C9ECF
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
PackageVersion1.1.0+ds1-4
RDS:package_id182052
SHA-10FAF47E5E5FB4857ACF8320739FA8B60979BDCB9
SHA-25661359021ABAEB7BBBE63395DA6C42B1B84D31FD6BD8B6859026E895C494565EA
insert-timestamp1679408382.5690403
sourceRDS.db