Result for D30CC7356328F604B3F51FED4D2215016A46EF0C

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Children (344)

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Key Value
FileSize883100
MD598113D3156AD141232AEC4108E3B642D
PackageDescriptiondata files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends.
PackageMaintainerNeuroDebian Team <team@datalad.org>
PackageNamepython3-datalad
PackageSectionpython
PackageVersion0.15.5-1
SHA-1D30CC7356328F604B3F51FED4D2215016A46EF0C
SHA-256FB340E9FDD5E5D7B0404DC59E4DE5E0F7F6675E60DBCA9D487E9D9EA3A8A1B98
hashlookup:children-total344
hashlookup:trust50

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Children (Total: 344)

The searched file hash includes 344 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3/dist-packages/datalad/tests/utils.py
FileSize67495
MD5F7A83B3DDA89422736963744BDE8217C
SHA-100E4CC523C6F2A9EB4FEC15853481E0FB89B0E0D
SHA-256901EAFBC2DA1BE3599E3786BFFCF773DB308840099E16B45A7A86B664C2F0D44
SSDEEP768:rsLQ2x3PfdG8XwLQesciIZ3k2+2Pvp7dslxftyuHrDdqhBJUiaRF2ub:dOHdGiwL+cnk2+2Xp7dWZHim
TLSHT111630767DC622C61C39382BAA85BE812E704B96F094124787DECC1543FD953992FA7FC
Key Value
FileName./usr/lib/python3/dist-packages/datalad/interface/rerun.py
FileSize27271
MD5B9F0F8D8C7C8B3E621515496082A24AA
SHA-101CD3B23A755C15793777FF00C34A6C0A15313CA
SHA-2565DB8D8A27426A62545809038E24C55DF2EBA82C9C3D049DB2FA12A918491D64E
SSDEEP768:XIYnuwot393Q1WCe7lBhBvwg9fvT8V0s4:X5b05MLd4
TLSHT19AC2D7836DA935328367855534EF7142A319B25B2D006125BCCC42B83F5D9B5F3FAAF8
Key Value
FileName./usr/lib/python3/dist-packages/datalad/runner/utils.py
FileSize736
MD5EEAE25BA61B3B8F5451D38F1ED6C9230
SHA-1023B24702D088101CDADB9C2F7A9F9D14F1AA930
SHA-256755B9447073DC544A9D97838A913B980770E5BA36B45CF39665D74F83200E1FE
SSDEEP12:krZIRe2O6JjqETp/TNynI0/2jKKjBUfmSzvQ+OGGvAE5:krp2V+ET9T0lOavQgGH5
TLSHT1AF01022202B13811DB3558F9F99E1005507AB03F3F23642468DF4314AB1892D657E1DC
Key Value
FileName./usr/lib/python3/dist-packages/datalad/core/local/tests/test_run.py
FileSize24847
MD5C39811716DAD34C8FEB4954B8EC3F85D
SHA-10340FDE10CAD8F6F11B04410664734D95430F623
SHA-256332331575AC4960558926CD8515A51CC11D712ED213C891E662FC4E4A8CE9FBB
SSDEEP768:QozUWHROeYv2teXVSqnDu7RI/tKvmMw8ASzjiX:QoYIOPv2ts0qn+ytKvmMw8BjiX
TLSHT1D9B2C896EA7E6C3147C3A3BB54DE60861900EB570D50646434ACCA941F4CD7EA27FABC
Key Value
FileName./usr/lib/python3/dist-packages/datalad/core/local/resulthooks.py
FileSize7721
MD5D2547DD6A5122B9B99B70F2C2127D2BF
SHA-10350750739E0A7BCF4624DAA8858C5230EA7E18D
SHA-256F6DE9E9DA986E0060A7BD49E99102E998490A81EE5524C518C30E447F3FE38ED
SSDEEP192:zFg4shGIHXgDnYBTB4eRteMvIpV4+x+bG:YzTeMgp0G
TLSHT1CBF1A6A7AD4A3234439781B1455FA082D776E47F1E02116DF8CEE2741F46839A3BF6E4
Key Value
FileName./usr/lib/python3/dist-packages/datalad/dochelpers.py
FileSize9633
MD517A40D3F286B06BF0DBA71B76F35632A
SHA-1036B81EF1D2D92561CE5DC21896C13360CBEDEF3
SHA-25687DEEF37F55477E6A75D31E5CB7D5A7337964FA7EB21D9E5414743144B2CFE57
SSDEEP192:zJIfun+v5zve1Xb/p1f2hyM4lvnP7fEB/3H3x3ejRAxPll+Lm8ZrRL4g:tIfuW8pI4hlPKf3o07Mm8ZFL1
TLSHT157129326D8063E56C39BC7AAA896D40AE31C243F7D476534BCEE42183F47D3492F91AD
Key Value
FileName./usr/lib/python3/dist-packages/datalad/metadata/tests/data/xmp.pdf
FileSize19350
MD518D381175C06125FA0AFF41AB4F879D4
SHA-10501C10D8A4B5150ED094A14787A799B4B79A955
SHA-256548DAF73EE0B4D7D2B028723AB0F9516EFB6550A4955371505B1A004A68B3239
SSDEEP384:5YOP2nHUdg8Av5LXoPal+wrQ9nirdARA3NCR8rFGVOr8LoK:Ggu0yPv56asgARA3NCR8rFGOr8sK
TLSHT13F92AEB4CC52285CF866A915E4E63C2449BBBB0363C8748A747D4E47FF80D0ECD8B696
Key Value
FileName./usr/lib/python3/dist-packages/datalad/consts.py
FileSize2830
MD5AEA67BC86E26A46D65B15F7FD71749E6
SHA-105978F83EE6F498D2A4EBAD275EF1BE34ED1F0EF
SHA-256843967CF3F5FCC84BDD83B4D2841EA04F308BA51A7B00A9B2EABF3AB3FF852C9
SSDEEP48:qp2VBeYFWl3+GWyvZ7v4CDiKyeNiWs+qgPrba8RIGuejsVxRenQnu:qp2VBeYMiESVegWjIGVofRHnu
TLSHT1DC5161723D24790983348AF896CAB16C1D2771BF5E9344437D7F471067B8C816B4EA56
Key Value
FileName./usr/lib/python3/dist-packages/datalad/metadata/extractors/tests/test_datacite_xml.py
FileSize2971
MD5805B6D0CB3FBB2984695E8A73E2D9AA2
SHA-105D03FD4C27F96CE7D2CF736E46F79441223E943
SHA-25611ABCC50B67CFC06AD4AD05A7F5A38BCB35A748CD4F45346BEEE2A6DA755C356
SSDEEP48:qL2VpBQAD5gyVmvB8eIvw9GNG7aCR7aqyOmnLcTiSqiYVhSNdGN/b7C:qL2VUAD5g+4TIY9GNy7aq+5l0Gg
TLSHT115517301A290B9724BBF257668F8D004AA35B7FF1D83A8017DCF4814BF0D6EB7295365
Key Value
FileName./usr/lib/python3/dist-packages/datalad/cmdline/tests/test_formatters.py
FileSize3105
MD54E8ECDEF4741A28476B7A68DD05AD1FD
SHA-10629E7472B1EA86F225769158EBBE3185948B55A
SHA-256EC94E3207F0FE391BDAA70F2EA13BA555AE3031E09A456F46508BFDE629240E9
SSDEEP96:qL2VnE5v/BQrgwvqa4A6Nd79VfiViHHFfSjr:7QBQHia36z7Bgr
TLSHT133512E09E8263904837367FD6CEF81846A28377B2D93E427B4FF92012F12F299422539





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