Result for 62759E7C5EB0665F12B9256C7DC6D0801A20B8D8

Query result

Key Value
FileSize992528
MD53167C539B13E572EC277B931EB70F5FD
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
PackageVersion0.12.4-2
SHA-162759E7C5EB0665F12B9256C7DC6D0801A20B8D8
SHA-2561282626F0546B74101E8D60A497DE57FE7FED5BC26D9AF66027DEA18FB794A88
hashlookup:children-total323
hashlookup:trust50

Network graph view

Children (Total: 323)

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
FileSize7664
MD5E3828F105E554DE8230B4D5E2F4ACEB6
SHA-10149CB56FC262706EFFBFF2FF3B638217F7906DD
SHA-256CDB2C78E99692689522F463EB9191EF1E8B7EE88715238CC98B067364998636F
SSDEEP96:qp2VSWFClcK1rJMCPyVXiGflwzR7S1PUcCsg7F1ZDDTLvPvJ6kw3T8W9EMRP:zZk91NbMl1PUcCsi1ZDNvW+SP
TLSHT10DF1B8221B73EC738373C1B79476E8476B86E17B6E0D405074FD85A44FE89A481E9C78
Key Value
FileName./usr/lib/python3/dist-packages/datalad/tests/test_utils.py
FileSize41074
MD5794FF5AAB82A18523F5709AE48EA06C3
SHA-102E21B71C9358CB7C84E1F95441C02115A782DE2
SHA-25621F19843CEAFE47B2FAEAA637755F38250957F35C91F7EB52DE9AED182961BE3
SSDEEP768:qV1MAwbSwbt2O+Pb0BG/wBfzayiZEqe5D7pvbY4+yvYePZyJx081BVJ9v9:qV1g80By0C3yvYePZyz31nr9
TLSHT1F003D62540B61931838BE2F9159FE61227299F7F8E006474B9BC42552F88738D6F77F8
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/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/tests/test_ansi_colors.py
FileSize4164
MD5CC1BF98DE75AA028876FCA08B0E92F14
SHA-105C632AB32D54616ECC392F5BDF0922FE51C625E
SHA-25656B5E268096601FD8F0CB811699493C1BF125C39F22944E09A9A1BD22EF123F1
SSDEEP96:qL2VvBLsVuLztGsyqd5dPiqd5hc65PM5IHqZ96ZZZn6ZNZecD1dm/2/:7513bTPM5Is+zcvecD1dma
TLSHT1B981D29AC2903C03877B54EC4DEFD65669A2BDAE8D026FEA3CBF82142F833155181875
Key Value
FileName./usr/lib/python3/dist-packages/datalad/interface/tests/test_utils.py
FileSize12785
MD5AFBC4EBF9675C5934D27488F585C3726
SHA-1078ADA8B2EEC421ACB4005D467B9725FD1FDABCE
SHA-256248C35C46B265FE62238F1BE1FB28548B25A330055D9421416FA47082B0FFAB5
SSDEEP192:z/CNaKPvSllmHSZgoKCpfyJI81u8jFmGKQeKRFYGtrOCIGZneIzIhdYul4SPNB:7CNaSypaJzkC7qGhbIGZJzIHY5SH
TLSHT1D3428496A7B77D3183E7A7BA442E40812235A62B8D86D0B57A6DC1301F4DE34E1BF1F4
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
FileSize50926
MD5C6AC3937958FC1162E5116758E49E8ED
SHA-10946705EEB228BBB74AEB618ED9A98FF916498CE
SHA-2568AC3551F934EF719EAC4AC3FD7784508BF12DF8291F67AE6BBD3513060A80FB0
SSDEEP768:6kSLVGGn6QJF4nGDHxW/JXFiy5uqAl6bPcKmiY5TV2KE9FoeSVM:6JGuL4GbuyMsePJ8p2VNSe
TLSHT1A533F9637B54213557B384A499EEE1825306E27B3F40B46CBCEC41283F59C75A2BF6E8
Key Value
FileName./usr/lib/python3/dist-packages/datalad/plugin/tests/test_check_dates.py
FileSize3208
MD5788A4572950DE18487D87196BD3F1C42
SHA-109A2DE90EF34C5AA8F2D97669000CE893C7974EE
SHA-2569B109D22108AB9C7F2EA6721C4B048B44BF19E829DF5C43F39AC6E34F87B4B44
SSDEEP48:qp2VmdAkjm45S4jVyEFEOVAQTTkc4Py+/Zv9Fq5Kk0CEX76e8jmOg8rjme086N:qp2VN24EvIc4Py+/ZV9r3Jh
TLSHT1816196C290673D1043B69264409B4A563594AA3F1F07A06933FE93781FDCDB7009F2BE