Result for E8D9FCC69A4C967B958181607299FE23544CF9D7

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Children (286)

Query result

Key Value
FileSize852900
MD5478A815944FD1F190ACCEC5E8CFE3880
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-datalad
PackageSectionpython
PackageVersion0.10.2-2
SHA-1E8D9FCC69A4C967B958181607299FE23544CF9D7
SHA-256E8C3D40F7F57A1EF6C0C1F9075109FCC2583ECF28A252B039F11B37F96D16ACF
hashlookup:children-total286
hashlookup:trust50

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Children (Total: 286)

The searched file hash includes 286 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3/dist-packages/datalad/metadata/extractors/tests/test_audio.py
FileSize2394
MD5275541E26CC531E0920D583BDC2D6010
SHA-1000838C749B988E89E6B6F627DC34755A352948D
SHA-256F42A44F4AAF6D6549C3A75074AC9C141B3EAB98A92CD16D584BCEF5916A0E8E1
SSDEEP48:qtVpdCdnY8fliKoiSslpg1dt1iKGReZarRf7d2fB+q/TjWb:qtVWd8lsluroI6ZU4qI
TLSHT15141436AB1633C120376E06A529D42163560B33B2D03D405BBEFC3345F88479BAFE1B5
Key Value
FileName./usr/lib/python3/dist-packages/datalad/interface/tests/test_ls_webui.py
FileSize12497
MD5CB711F28EC2E1C6068C4DE1830D703E8
SHA-102C11D2DFDAA12760F4507C0BD5F9737135D57E9
SHA-256319CD288A0610CF11D94D023191DE406412EACA1BF549F2A10A71B5C38DE64D1
SSDEEP192:E0Rm7YdfFVTp32gwmJ8aNT0zM6J6kcDMGcz8nWDjIKow:TRvHwCfNT0zshWDEKN
TLSHT1A042B65325B07BBBD71753BA646BC01DB366152FBC81A428366D81A07F462B831FB27C
Key Value
FileName./usr/lib/python3/dist-packages/datalad/support/tests/test_network.py
FileSize18444
MD50673B5E07D379A9174A607F61305F0CE
SHA-1043B43EEB0136A0D6D979CBA7322F44910849E5C
SHA-256FD11FCAA2C7519BDAC3158888EC9D764FEF1B6AFF600EC7AA5BB6067B3B713B2
SSDEEP192:zaGOMMBHqhYNOCdAjT5BwyhJZIMZ10tHLTgy2PDK0epgtw1rbI:m0MYYMCC/n6vVCK0eDJI
TLSHT1F082B66E16A2E627D316D3855A8A17072314C3EB0A91DC6DF8EC9E014F94EFA24F34F1
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/plugin/__init__.py
FileSize1812
MD598C3F60E609284126EBF9355240EDD00
SHA-10590F29173A2238775836F476B45ED3D1ABFB4EC
SHA-256E46E3553CC9057B5CDDDBDD06E7756AA3765D21AADCE9272BFA4A64BBA463A15
SSDEEP24:krp2VijmQSKSvd9FN0trg3x1xMe3BTVSOL5PAhpRLU:qp2VijmQ7Svd9X0lgbVSOQrY
TLSHT19A310D02283A380557F6C1AC8906A5955AAE33FF1F03E035B9FF62126F4453EA2F614D
Key Value
FileName./usr/lib/python3/dist-packages/datalad/api.py
FileSize2418
MD54162B3220AE074C57B675CCFDE6FCB2E
SHA-105B029E04ED690A2A21CED4625088914BAC7004D
SHA-25679ACC6CBEAF3F0BA315B7C02345EADD5D8B0931E2A386D7ACE5BD59847751C60
SSDEEP48:qp2VeyPO8gw7uLfEnYVMkZ6wS+Q8GDxbf3+bm:qp2VvPX7u4YK+y+QFbf3+bm
TLSHT1A0413453583A7221537E829DCC6B5164526F02BF3E03D1267AFF13247F81B29B4B4694
Key Value
FileName./usr/lib/python2.7/dist-packages/datalad/ui/__init__.py
FileSize2673
MD521E2649B45BC018009EA20BBC2EE1BE0
SHA-10657C3592BBAD2DFC5D7A0BAAD2F6368046126E0
SHA-25635C20D296C019BE5FAD5EFF20E4737E5CD3868ADDDDC482CFA917F6983841266
SSDEEP48:qp2Vy+SUy2tVBe4w8mUxCm0dZG3oIrS/Uk56KiXl556Ki8Nf:qp2VyHcLBe4fCm0d8oIW/+KeeKp
TLSHT14C5165236B7F79789F7E44665872E743E29E287F0E4B5064387F41106F9142085B4DAE
Key Value
FileName./usr/lib/python3/dist-packages/datalad/log.py
FileSize16672
MD5A170973F379796F1276BA53F57FF463A
SHA-10701D661A2FF9B5468FEF513269A4388A07CD9FB
SHA-2560D9FBFEF35EC2A98AF72B8A6ECD409B883F34C18B351F70AFFFFC2ACC2276EF4
SSDEEP192:zpjDjHOQm/IR/r7aop2H/llKKPVrn9ffkYGQIp0n+Lv6dQXBp6h19u7r0y2MBShn:tjHu8rTp2WKPVz9ffkYG/lBeIpShn
TLSHT17972D826D55E5916C3634C6958C6E202672C69B72D0E7138BCEEA3183F06B24D0BAFD9
Key Value
FileName./usr/lib/python3/dist-packages/datalad/metadata/extractors/datacite.py
FileSize3648
MD5D9E6A14BA8C2CCE24F4C5D519D62B5C0
SHA-107D6CB421E6FC3CCCBC0CD79228DD9BD036BA6A0
SHA-256538273B12CF3321593BF37D91004AB5B7F1B10480A6E7A8BE636F97B745E320F
SSDEEP96:qp2VPbGXDq4XlcLhaAmRABoKXx6DbN6HQIYoPzONon+M:zTGTlXSLtAAR6HN6HQIYo7OSr
TLSHT1F2717206F406B43783B3A95865D7C040A92C327F7D47902EBEAF41716F98D74D1B7199
Key Value
FileName./usr/lib/python3/dist-packages/datalad/metadata/search.py
FileSize40983
MD5FDBECACCB779AB58CC56DA8FAC891F9A
SHA-1087BF3A2189D2FFCF2118AE623EA3E0A19525EF5
SHA-256D25C5EF22C6B99A4929714FA4E280E5E9A17B923322AD1F82F0933C642BE0382
SSDEEP768:2wLxwQyR+XbVWDIEJeFiy5uIzz5TVd5eSV8:22xi+XbUUEDyzlZqSG
TLSHT1D003E7637725243557A384A458EEE1821306E26B2F40F56CB8EC42743F5DC79E1BFAE8





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