Result for 3747D39979ACF700E2AF3DA3067C7A2908C39B6E

Query result

Key Value
FileName./usr/lib/python3/dist-packages/bcolz-1.2.0.egg-info/PKG-INFO
FileSize1572
MD55BA0A8DA221624FF42355787F3BC4208
SHA-13747D39979ACF700E2AF3DA3067C7A2908C39B6E
SHA-2568620B7CF93CF3764C7D7F92149B9721441439326DFE8533B9DE86DF55EC686F1
SSDEEP48:DclvnByhEN4PRU4D13dQIRjTQI5jwiaaDYr:Dcl/eLPRUC13dQIRvQI5jjaaDYr
TLSHT19331D00329C56EE46BE389075B84874A8D254762AF0E18DC7DFCC21DAF62B72C27C12C
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize305496
MD5B596C893B3648D021013728EAD8437A8
PackageDescriptionhigh performant compressed data container based on NumPy (Python 2) 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 modules for Python 2.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-bcolz
PackageSectionpython
PackageVersion1.2.0+ds1-1
SHA-1B6A159396A55884C722F11190108B5C7D67D7CAF
SHA-2560A825275B289B05A930E549D6D5162CF368F290C389565A122CCC5717B71DB9F
Key Value
FileSize245428
MD5B547151C4E3B0D2D0752CBA1876FB30E
PackageDescriptionhigh performant compressed data container based on NumPy (Python 3) 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 modules for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-bcolz
PackageSectionpython
PackageVersion1.2.0+ds1-1
SHA-1C2C82E3529F1B0715BCA094285B68B367A39E43D
SHA-2569926C5E672BF3DF452526D5B6C914997CE52AD42C6385EDCE34824FBF330E9D4
Key Value
FileSize268320
MD57E23B7247D9C8028D3C0A30D6AA46E0C
PackageDescriptionhigh performant compressed data container based on NumPy (Python 3) 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 modules for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-bcolz
PackageSectionpython
PackageVersion1.2.0+ds1-1
SHA-16755C719BA0694469C7EB1AC287A825DF40FAE6B
SHA-25629E48AD162A8CEB99DCE1CB8304B90ED3A486CA6F7972ABF83E0D6AF1E0BE490
Key Value
FileSize283976
MD5FF34B6BD3D6AD003E7CC0FC7A6062256
PackageDescriptionhigh performant compressed data container based on NumPy (Python 2) 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 modules for Python 2.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-bcolz
PackageSectionpython
PackageVersion1.2.0+ds1-1
SHA-13AB9E5451960ED5501C464385B7367E548A9CAC5
SHA-25661176FCFEA9E654E384C3D34DF2B3D21AD6BECEE307A0F9C23E4BF16F69E71EF