Result for 8F431F78917912DF25EA88C0B1E5C0F90D63E8A8

Search result
Graph view
Children (336)

Query result

Key Value
FileSize1054116
MD5062E3FCBED429E2DD192AF080600B0AF
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
PackageVersion0.13.2-1
SHA-18F431F78917912DF25EA88C0B1E5C0F90D63E8A8
SHA-2566D34ECC7D6134A86A9351AB73BFE73133DCF36A45D1633E29B7263EF26283046
hashlookup:children-total336
hashlookup:trust50

Network graph view

Children (Total: 336)

The searched file hash includes 336 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3/dist-packages/datalad/utils.py
FileSize82422
MD58FE2EA205D7AB02766CF7606B8A995D3
SHA-100BB459F159996FDDD485736178A14559DC85D22
SHA-25677BE302398A1431C7EAB87C60314637A177178BF5BB5DBDF305B7E2A12AE7F88
SSDEEP1536:vOWnwXLmZZZkyZcRQZvFNhfvWbWvsv5HUaqBn7JhvvY:vOCwXLm4RYLQbYWmng
TLSHT18283E717ED452D20C3C3D6B95D87E162E31DA9AB57046078BDEC82583F42938C2FA7E9
Key Value
FileName./usr/lib/python3/dist-packages/datalad/interface/tests/test_ls.py
FileSize4110
MD5983F4E8739CD69138F094B85E4AC009C
SHA-101249111514FF0EE16EC5DE67F23E789D66D7101
SHA-2569C977E1B9A98AC0C622A8F6B7D0079CA9BD99E15F0A5FE2515845D36DAF3B26D
SSDEEP48:qzVw7ChaoV9/hQQVritNGVxJVDJ9QpSCmV7/NEd95ag3dVJV2ire73fVl8:qzVw7ChhlhpVrz97QWG/5vLnrgta
TLSHT143817516D2B33E3043B392EB494BA12E6B2966BF0F02A07D71EE83105FC496441EB17D
Key Value
FileName./usr/lib/python3/dist-packages/datalad/support/annexrepo.py
FileSize155891
MD5694D85CB68FEF4BE237D3393E2FC4196
SHA-101E30DE77AA08FBCBC57292C9B84F105AB4B403E
SHA-2560A98A5E2C49B714A047344E8D0B05F1561466DFC92C5850C0C53FDEA7949F31B
SSDEEP3072:umGXHaVtBUOzYXGd+EQ2MU/Mj7cjQToDtXGdI2S+HYGaOXRhUmMqY:urHsrzSNlc9gL/YGaOXRemY
TLSHT197E3E8139C451D2B8393C5F659C6A012E718A56B6A4820387CFD82943FB9624D2FFFF9
Key Value
FileName./usr/lib/python3/dist-packages/datalad/metadata/extractors/datalad_core.py
FileSize4770
MD542C3038DDA82775834B1FD0B95C163FC
SHA-102FDF365586E2008E065098B7CA57B4A78A56F45
SHA-256066B05D6AED83DDB6A7CC3AF8D0D7831D4C3A1182CB225AE09CC5110C998C6DA
SSDEEP96:qp2VI8GKjHI8kPcDUh+0bBsmCYwxfrKhmU5:zRzo8kEDU00t1aC
TLSHT1AFA12112B983781783B782B44DCAD1425314717F1F4BD01A3FDF4A246FA85DC72A9EA8
Key Value
FileName./usr/lib/python3/dist-packages/datalad/tests/test_base.py
FileSize2963
MD5F26A79E7EA34FDCA73F2619AC549DA9E
SHA-104C8543C57DE5AB38202B53A5715337BE623D043
SHA-2566BBBDB25677AF881F06CFFCDFAC7E02162E1081B553C9F56D26D0F210B2967DA
SSDEEP48:qp2VESsjV6ZjkqfcbWN/WglcBQUUgaqsPN+VhlAUu9R46zGSE24:qp2VEQFkqkbo/n6rUg+N6aJJzEV
TLSHT17D5156724AA9742283F057774A0FA0173106D7BFAF43A82475DF59282FCE51946933F6
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/tests/test_utils_cached_dataset.py
FileSize12192
MD56CB0F0668B83CC21246647FE9F3A2008
SHA-1059663B67648E44B53DE296774CA6D06EBE2F260
SHA-256863A8E5C5EC38A8733405DC2DE67A2FA7AC455C4BB0F919B611AA71208717390
SSDEEP192:4heYXbYqBP5W6q9cNsFivgvevPTgvPTPjGP4+PL:4heYXbYoBW6q9KsFywuPTwPTPjKL
TLSHT1444274AD970D6A338743532B95AFE1426301FA178DC190A975BD82801F4D7BA92F70FD
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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