Key | Value |
---|---|
FileSize | 992528 |
MD5 | 3167C539B13E572EC277B931EB70F5FD |
PackageDescription | data 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-datalad |
PackageSection | python |
PackageVersion | 0.12.4-2 |
SHA-1 | 62759E7C5EB0665F12B9256C7DC6D0801A20B8D8 |
SHA-256 | 1282626F0546B74101E8D60A497DE57FE7FED5BC26D9AF66027DEA18FB794A88 |
hashlookup:children-total | 323 |
hashlookup:trust | 50 |
The searched file hash includes 323 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/datalad/tests/utils_testrepos.py |
FileSize | 7664 |
MD5 | E3828F105E554DE8230B4D5E2F4ACEB6 |
SHA-1 | 0149CB56FC262706EFFBFF2FF3B638217F7906DD |
SHA-256 | CDB2C78E99692689522F463EB9191EF1E8B7EE88715238CC98B067364998636F |
SSDEEP | 96:qp2VSWFClcK1rJMCPyVXiGflwzR7S1PUcCsg7F1ZDDTLvPvJ6kw3T8W9EMRP:zZk91NbMl1PUcCsi1ZDNvW+SP |
TLSH | T10DF1B8221B73EC738373C1B79476E8476B86E17B6E0D405074FD85A44FE89A481E9C78 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/datalad/tests/test_utils.py |
FileSize | 41074 |
MD5 | 794FF5AAB82A18523F5709AE48EA06C3 |
SHA-1 | 02E21B71C9358CB7C84E1F95441C02115A782DE2 |
SHA-256 | 21F19843CEAFE47B2FAEAA637755F38250957F35C91F7EB52DE9AED182961BE3 |
SSDEEP | 768:qV1MAwbSwbt2O+Pb0BG/wBfzayiZEqe5D7pvbY4+yvYePZyJx081BVJ9v9:qV1g80By0C3yvYePZyz31nr9 |
TLSH | T1F003D62540B61931838BE2F9159FE61227299F7F8E006474B9BC42552F88738D6F77F8 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/datalad/log.py |
FileSize | 16900 |
MD5 | 0A8E744BEE91BFFC29C8AA511BBDF882 |
SHA-1 | 04481C181F6F0E0C4290E9A4D5DB523A7505AA59 |
SHA-256 | F1DBDE25AFEA36EFFFEFC185709D59E74D4762FB7FF24BB6358A6BD96D6F4A1E |
SSDEEP | 192:zpjDjHOQm/IR/rXaop2yrKlKKPVm1en9ffklGQIp0n+Lv6dQXBp6h19u7r0y2MBe:tjHu8rHp2ydKPVeE9ffklG/lBeIpShn |
TLSH | T1FE72D926D55E5916C3634D6958C6E202672C79772D0EB138BCEEA3183F06B24D0BAFC9 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/datalad/metadata/tests/data/xmp.pdf |
FileSize | 19350 |
MD5 | 18D381175C06125FA0AFF41AB4F879D4 |
SHA-1 | 0501C10D8A4B5150ED094A14787A799B4B79A955 |
SHA-256 | 548DAF73EE0B4D7D2B028723AB0F9516EFB6550A4955371505B1A004A68B3239 |
SSDEEP | 384:5YOP2nHUdg8Av5LXoPal+wrQ9nirdARA3NCR8rFGVOr8LoK:Ggu0yPv56asgARA3NCR8rFGOr8sK |
TLSH | T13F92AEB4CC52285CF866A915E4E63C2449BBBB0363C8748A747D4E47FF80D0ECD8B696 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/datalad/plugin/__init__.py |
FileSize | 1812 |
MD5 | 98C3F60E609284126EBF9355240EDD00 |
SHA-1 | 0590F29173A2238775836F476B45ED3D1ABFB4EC |
SHA-256 | E46E3553CC9057B5CDDDBDD06E7756AA3765D21AADCE9272BFA4A64BBA463A15 |
SSDEEP | 24:krp2VijmQSKSvd9FN0trg3x1xMe3BTVSOL5PAhpRLU:qp2VijmQ7Svd9X0lgbVSOQrY |
TLSH | T19A310D02283A380557F6C1AC8906A5955AAE33FF1F03E035B9FF62126F4453EA2F614D |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/datalad/support/tests/test_ansi_colors.py |
FileSize | 4164 |
MD5 | CC1BF98DE75AA028876FCA08B0E92F14 |
SHA-1 | 05C632AB32D54616ECC392F5BDF0922FE51C625E |
SHA-256 | 56B5E268096601FD8F0CB811699493C1BF125C39F22944E09A9A1BD22EF123F1 |
SSDEEP | 96:qL2VvBLsVuLztGsyqd5dPiqd5hc65PM5IHqZ96ZZZn6ZNZecD1dm/2/:7513bTPM5Is+zcvecD1dma |
TLSH | T1B981D29AC2903C03877B54EC4DEFD65669A2BDAE8D026FEA3CBF82142F833155181875 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/datalad/interface/tests/test_utils.py |
FileSize | 12785 |
MD5 | AFBC4EBF9675C5934D27488F585C3726 |
SHA-1 | 078ADA8B2EEC421ACB4005D467B9725FD1FDABCE |
SHA-256 | 248C35C46B265FE62238F1BE1FB28548B25A330055D9421416FA47082B0FFAB5 |
SSDEEP | 192:z/CNaKPvSllmHSZgoKCpfyJI81u8jFmGKQeKRFYGtrOCIGZneIzIhdYul4SPNB:7CNaSypaJzkC7qGhbIGZJzIHY5SH |
TLSH | T1D3428496A7B77D3183E7A7BA442E40812235A62B8D86D0B57A6DC1301F4DE34E1BF1F4 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/datalad/metadata/extractors/datacite.py |
FileSize | 3648 |
MD5 | D9E6A14BA8C2CCE24F4C5D519D62B5C0 |
SHA-1 | 07D6CB421E6FC3CCCBC0CD79228DD9BD036BA6A0 |
SHA-256 | 538273B12CF3321593BF37D91004AB5B7F1B10480A6E7A8BE636F97B745E320F |
SSDEEP | 96:qp2VPbGXDq4XlcLhaAmRABoKXx6DbN6HQIYoPzONon+M:zTGTlXSLtAAR6HN6HQIYo7OSr |
TLSH | T1F2717206F406B43783B3A95865D7C040A92C327F7D47902EBEAF41716F98D74D1B7199 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/datalad/metadata/search.py |
FileSize | 50926 |
MD5 | C6AC3937958FC1162E5116758E49E8ED |
SHA-1 | 0946705EEB228BBB74AEB618ED9A98FF916498CE |
SHA-256 | 8AC3551F934EF719EAC4AC3FD7784508BF12DF8291F67AE6BBD3513060A80FB0 |
SSDEEP | 768:6kSLVGGn6QJF4nGDHxW/JXFiy5uqAl6bPcKmiY5TV2KE9FoeSVM:6JGuL4GbuyMsePJ8p2VNSe |
TLSH | T1A533F9637B54213557B384A499EEE1825306E27B3F40B46CBCEC41283F59C75A2BF6E8 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/datalad/plugin/tests/test_check_dates.py |
FileSize | 3208 |
MD5 | 788A4572950DE18487D87196BD3F1C42 |
SHA-1 | 09A2DE90EF34C5AA8F2D97669000CE893C7974EE |
SHA-256 | 9B109D22108AB9C7F2EA6721C4B048B44BF19E829DF5C43F39AC6E34F87B4B44 |
SSDEEP | 48:qp2VmdAkjm45S4jVyEFEOVAQTTkc4Py+/Zv9Fq5Kk0CEX76e8jmOg8rjme086N:qp2VN24EvIc4Py+/ZV9r3Jh |
TLSH | T1816196C290673D1043B69264409B4A563594AA3F1F07A06933FE93781FDCDB7009F2BE |