Result for A497BBB311A1CAF83198532C3D61C0EF58340BD2

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Graph view
Children (299)

Query result

Key Value
FileSize919824
MD53FB6151E2A761D5F9AD26D4BC82A4C79
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
PackageVersion0.11.6-1ubuntu2
SHA-1A497BBB311A1CAF83198532C3D61C0EF58340BD2
SHA-2569364EF61BD12BB0BA834B194CC39924EDCFB3AB4504860B2C3E0A55990529362
hashlookup:children-total299
hashlookup:trust50

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Children (Total: 299)

The searched file hash includes 299 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/tests/test_version.py
FileSize3274
MD509DC64336974C5EB3A87D058C7C5EEEB
SHA-100926EAD0D63170E0F03DD07C50F9966F9CA0263
SHA-256393C4B58548D6ECE5F33B7D8166C9CF8ABE6B063BA8ED2956E9D0EFB9E95E5DF
SSDEEP48:qp2VW4CXTVCjujHjSkqZSAVyd+9kwfC6xYlgRaNY7mVgfNrDVRrVUVCc:qp2VWRCibZArVydwPYluEg7fcv
TLSHT13F61221AEC80BD7783A7633F5A1BD005837916BF7D03991837AFA1582F492AC90675BC
Key Value
FileName./usr/lib/python3/dist-packages/datalad/distribution/tests/test_clone.py
FileSize13659
MD548F18495DCD6A711F9B505A4C8E5410F
SHA-100D33521D274536A2BDA7A947D65B99995247D55
SHA-256CC4D8FEE2577935562A44D7F381E56CF77DA54EA8C19683020934FFCE2668085
SSDEEP192:X/2tRS/TjK0/rLzRwhng1w9knYXSH8SKDmwOpZjRapOB72:PqYlLG9knEm8SOpOx2
TLSHT1E1528485B3373D2287D3C3FA459B96137661A2BB0E408015BAAD83714F8C97951FB3B9
Key Value
FileName./usr/lib/python3/dist-packages/datalad/distribution/subdatasets.py
FileSize14546
MD575D9B948EEB99B8F900DC61ACB16CB11
SHA-10424A63C90387C5362F402E9D462AA0EB5E43263
SHA-2560C596B1D292231CDED28883066B15A95D83E51E0A565E7FE919119DA0D5CBF6C
SSDEEP192:znizNQ9eSgnWp+n8h+gA57y0NaU7CSPCcsvbPGLGed9sA+Qsy:mzNQ9xgnWp+n8O7J8Uj6piLGedeQsy
TLSHT1A462B801BB35713387BA43A5999E5403A72561AF2E60E06833AE43702F4DA7460F76FF
Key Value
FileName./usr/lib/python3/dist-packages/datalad/log.py
FileSize16900
MD50A8E744BEE91BFFC29C8AA511BBDF882
SHA-104481C181F6F0E0C4290E9A4D5DB523A7505AA59
SHA-256F1DBDE25AFEA36EFFFEFC185709D59E74D4762FB7FF24BB6358A6BD96D6F4A1E
SSDEEP192:zpjDjHOQm/IR/rXaop2yrKlKKPVm1en9ffklGQIp0n+Lv6dQXBp6h19u7r0y2MBe:tjHu8rHp2ydKPVeE9ffklG/lBeIpShn
TLSHT1FE72D926D55E5916C3634D6958C6E202672C79772D0EB138BCEEA3183F06B24D0BAFC9
Key Value
FileName./usr/lib/python3/dist-packages/datalad/distribution/tests/test_create_github.py
FileSize6895
MD590D56A59554231F57A373DA8B9FE4F16
SHA-104C5DAF25635A4CBE90C1EFEA95F88F68BEFD76C
SHA-256B0FB90A210FC57D9E37DF05EE03E77C27C7F6DB67C58989E4C0D6594D5355965
SSDEEP96:5VgkU3w7CP5bP4idZVAI97zLM1vZW1vZV4CtGrVuNsgay/YrcvH2GH7wX6j4Z9w+:XgkkZq6fGvevQZAPBv2q7DcZ9wrH6f
TLSHT1FBE1B4E28277BA1287531EB3486A20408374E53F0E81A86E35FEC90EBF4D63D957B574
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/support/strings.py
FileSize2105
MD5D3050D5BAB701792AFF42740A7F78F6D
SHA-105F1303F4E8D646172CD746965000482DD853B13
SHA-256AEB88D8CD9067AF4724D6FA316EBCFAE80ED6F5DD9FDC3BF92FE9313AEBA4D24
SSDEEP48:qAyN3KJoK/dAwyyKosKrabOm6YPoVBLduN:qAyNg/dAj+rUO9YPoVBLduN
TLSHT18C41C012FC523E5883BAD139E9998422E62911FF1F4BB568789F13313F21C3752BC658
Key Value
FileName./usr/lib/python3/dist-packages/datalad/metadata/extractors/datacite.py
FileSize3648
MD5D9E6A14BA8C2CCE24F4C5D519D62B5C0
SHA-107D6CB421E6FC3CCCBC0CD79228DD9BD036BA6A0
SHA-256538273B12CF3321593BF37D91004AB5B7F1B10480A6E7A8BE636F97B745E320F
SSDEEP96:qp2VPbGXDq4XlcLhaAmRABoKXx6DbN6HQIYoPzONon+M:zTGTlXSLtAAR6HN6HQIYo7OSr
TLSHT1F2717206F406B43783B3A95865D7C040A92C327F7D47902EBEAF41716F98D74D1B7199





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