Result for 02333CEC4304C05E610F52CFCFD51C6552C45453

Query result

Key Value
FileName./usr/lib/python3/dist-packages/glue/io/qt/directory_importer/directory_importer.py
FileSize191
MD5B39F09402EE1CC88E5E82A09BD8D82CD
SHA-102333CEC4304C05E610F52CFCFD51C6552C45453
SHA-2569A0BE4D55C67CBA6D9E5FD7B9D43CA80E2365B8E444E5469E8BD8F7365C34E0C
SSDEEP3:1CfCbIVKB6yzMfQEsbtI6A2J/V99yGFOSmR+VKByK//XA+70UrGEgWX:1WgB6yVE2Zjf997FXmRxByKgRUrT
TLSHT1FAC01222B4CF3453067AADDC07844664773524831B0E277C3110C3712B524506A82876
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
FileSize430740
MD55FDE944E8ED7E41AF851E9FFF5A3903D
PackageDescriptionPython 3 library for data interaction python3-glue is a Python library for data interaction, it blurs the boundary between GUI-centric and code-centric data exploration. There are many ways to leverage Glue from Python. Among other things, you can write code to do the following: . * Send data in the form of NumPy arrays or Pandas DataFrames to Glue for exploration. * Write startup scripts that automatically load and clean data, before starting Glue. * Write custom functions to parse files, and plug these functions into the Glue GUI. * Write custom functions to link datasets, and plug these into the Glue GUI. * Create your own visualization modules.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-glue
PackageSectionpython
PackageVersion1.0.1+dfsg-1
SHA-150E33154D605FACFE56E3605CCA759A6F14B43AB
SHA-25656383625F24FC48F042C97D4E74779F8856C87129D073CD3358426F0FC74C6BC
Key Value
FileSize451544
MD5525A7DF769AE07FCF5579412F53137C4
PackageDescriptionPython 3 library for data interaction python3-glue is a Python library for data interaction, it blurs the boundary between GUI-centric and code-centric data exploration. There are many ways to leverage Glue from Python. Among other things, you can write code to do the following: . * Send data in the form of NumPy arrays or Pandas DataFrames to Glue for exploration. * Write startup scripts that automatically load and clean data, before starting Glue. * Write custom functions to parse files, and plug these functions into the Glue GUI. * Write custom functions to link datasets, and plug these into the Glue GUI. * Create your own visualization modules.
PackageMaintainerDebian Astronomy Maintainers <debian-astro-maintainers@lists.alioth.debian.org>
PackageNamepython3-glue
PackageSectionpython
PackageVersion1.0.1+dfsg-1
SHA-1F66525CEA28A2004B043CEFB97094EC5510B26E0
SHA-25695C70C56AE28E14AD94B0BBBEEB77FB2BF61156B6C47732CD31E6BAB1C8A7329