Result for 745695FB89A1016028388BBB2B804842E0B81E35

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Graph view
Children (337)

Query result

Key Value
FileSize877116
MD5E00AD708D8AF272F8550C2256037548A
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
PackageVersion0.15.0-2
SHA-1745695FB89A1016028388BBB2B804842E0B81E35
SHA-256536FCFBB9148B87FADB46C56F71D07C4BC29D72E0192A70CB12768D397C82213
hashlookup:children-total337
hashlookup:trust50

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Children (Total: 337)

The searched file hash includes 337 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3/dist-packages/datalad/distribution/tests/test_install.py
FileSize35360
MD543DEDC892314578EA9C8727895DBDED7
SHA-10182DA0D69A33C699A5FDDFD1ED3D82F17AC5144
SHA-25696F4C863C9EC4903176ABA7D388CE0368A904204ECE05220E4146D2748F7718A
SSDEEP768:2FLiaXvwcuxXayM8c0p+zljr9DiyVUjqPT3G8mchF:cDFuFaJJjhDihjqPTG8mc7
TLSHT1FDF2E886A37179396FC383F744CF95572310A55B4E409428BBFE82942F0E639617B2FA
Key Value
FileName./usr/lib/python3/dist-packages/datalad/interface/tests/test_base.py
FileSize7931
MD574DC3BDB47BD8178024212C4A43CEDE5
SHA-102DEF57BF95B67EAEA464929FE2C680CA3158A23
SHA-256C1782CA35B27CDEB503D24936C7617C3D50BAFA6DC7F100DBB61FF9D371A295A
SSDEEP192:zCyGO0RkELsGkQ2E+atMSiR2IMCAlwCt26lT4TZ/CEgZ70:myG7kY12Eq7AlPT4TZ6EsI
TLSHT1F9F1A61244E6396443D3E6F59CABF71207106A3B2D02687CB4FDD21A1F4E9BAD0B72A4
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/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/customremotes/datalad.py
FileSize6555
MD52187C17831EE63E2CCEEDF6837C43450
SHA-103FD15EF76CECC82852328906E192553F393F215
SHA-2569DFD05C6C701EA2C9867851DF4238A604B6720EB0DEAB7DEE6D682F3CE175E74
SSDEEP192:K8F1/ZE8r0ndDXFM6OCc6MIH/MaPH8Pfu3K:drr0dj6jAK
TLSHT1BBD1B64BC5563B36C7A2805A8606B6E69B06C27F1F8292753CFF514C3F944A4C6F39E1
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/cmdline/tests/test_main.py
FileSize14147
MD5EF6105CF1E057F3129D85636A5ECBB62
SHA-105102F96FC45A30A0FF5917F6256272AC965314D
SHA-2568FE2AA8B8A34E0596CE911ED647ECEBFA25AA63BAB158254049AC103BEC6E764
SSDEEP192:7/hdKjMz/8SReakc0Ir9SgRIq9SgBMS1p0J8MS1p0JDp:zkNakcvhiu1MS1CJ8MS1CJDp
TLSHT10652A82A71553E3553E3B67AA9BE94029315AA274C51A076BCEFC1101F8C139E2B32BD
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
Key Value
FileName./usr/lib/python3/dist-packages/datalad/tests/test_nonasyncrunner.py
FileSize5744
MD535914B60E120E44A2BE38F779E6B48E9
SHA-109A45357D03A5E3F886FE9032763A54E259A337C
SHA-2560EDFA1B014669C7D4AE74B8B9DBA2B0AB7029F9BCDF9C2C0FCFA6F79586BC32E
SSDEEP96:qtVTHMmUekabjAEdIYikACyj/SYTSfrsPRgZ1xZZb9PPt8nn:sTHpkabj/BikAxj/SYTSfrsZgTnZbFtU
TLSHT1E8C173059C2F320047B3E09A61E7D413662AA57B5E4A503175BEC2905FDC235F1E6EFE





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