Result for 9FA9FD4E0CB26A0DCF3B7BC21BF789FB17122E5D

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Children (290)

Query result

Key Value
FileSize906488
MD585D7506038725F32F8203D35E7E3A012
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 2, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends.
PackageMaintainerNeuroDebian Team <team@neuro.debian.net>
PackageNamepython-datalad
PackageSectionpython
PackageVersion0.11.2-2
SHA-19FA9FD4E0CB26A0DCF3B7BC21BF789FB17122E5D
SHA-2566E03232C489322FB70E20C8822BBF11721D934E78FA0E006EF39F8DC7664143E
hashlookup:children-total290
hashlookup:trust50

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Children (Total: 290)

The searched file hash includes 290 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/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/tests/test_tests_utils.py
FileSize21583
MD5C5C5973093A2C4E7737A5281678BF06C
SHA-105775E53329EA1278DC83E4E9E0AFB0561B4C3A6
SHA-25667E1C2E7AADA8025451BF6F3FE7680CD22587FAE5B43975FB3553DD0D5FC58F3
SSDEEP384:DAnBcrn+QCLh+7/MdHfCf++7hLAAxN4KuJOYQcUu:DAynEV+4ohLAAxqYcUu
TLSHT127A2B624D1A22D2283C7F378498F90157B6B9F7B1D0169787AAC55826F8833D46F72BC
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_archives.py
FileSize6858
MD5ED5778926F98190BB1A02E9EF92E8E52
SHA-1078295D62A66D4DCEE0A67A02CC9EFDF2E27F5E9
SHA-256F6006FE6EDF6457E339DFFD8ADE88943A8648B6CD2AC99C3C28C7EC769D5DEF3
SSDEEP96:qp2VbeCH3M5lehszuV6WbjQSmkyxkOccJDRlQ+lQuvYXx6VVTnhn0Zn6rnXbsyX9:zSnyYtSmScJNe+tv3D
TLSHT19AE122353CE63D16D79B7BA95947842A010088EBBF4B00D8FF7D0585DF18EAA52E25F1
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/plugin/tests/test_check_dates.py
FileSize3208
MD5788A4572950DE18487D87196BD3F1C42
SHA-109A2DE90EF34C5AA8F2D97669000CE893C7974EE
SHA-2569B109D22108AB9C7F2EA6721C4B048B44BF19E829DF5C43F39AC6E34F87B4B44
SSDEEP48:qp2VmdAkjm45S4jVyEFEOVAQTTkc4Py+/Zv9Fq5Kk0CEX76e8jmOg8rjme086N:qp2VN24EvIc4Py+/ZV9r3Jh
TLSHT1816196C290673D1043B69264409B4A563594AA3F1F07A06933FE93781FDCDB7009F2BE
Key Value
FileName./usr/lib/python3/dist-packages/datalad/support/globbedpaths.py
FileSize5869
MD5F3602F8596328A5FFDF09A95FC7FDDBC
SHA-109A985EE3AAB9A583D29DFFE85A76397A8D727D3
SHA-256F551D3F78E9674ECF8AD3635846F448DBC9AB1585013FD92312E21F28790A02C
SSDEEP96:qp2VI1P2vhWKAssSzHNu5Sm1/a61O/MELK:zwP06LjfaV/w
TLSHT1D9C11C52E2173C11D3A396AD454FA843DB09F4AF3F194026B49D13182F0746A69EACEB





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