Result for 86E1F77A3799BE0C48BB9194879E539D7D2D930D

Query result

Key	Value
FileSize	1130212
MD5	6C167435504F01DF893766E606545431
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	NeuroDebian Team <team@datalad.org>
PackageName	python3-datalad
PackageSection	python
PackageVersion	0.14.0-1
SHA-1	86E1F77A3799BE0C48BB9194879E539D7D2D930D
SHA-256	28234646FC63030CB4EFCE24DC974AE9CA60D80F3519AA93316825E3DD237184
hashlookup:children-total	343
hashlookup:trust	50

Network graph view

Children (Total: 343)

The searched file hash includes 343 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/python3/dist-packages/datalad/interface/tests/test_ls.py
FileSize	4110
MD5	983F4E8739CD69138F094B85E4AC009C
SHA-1	01249111514FF0EE16EC5DE67F23E789D66D7101
SHA-256	9C977E1B9A98AC0C622A8F6B7D0079CA9BD99E15F0A5FE2515845D36DAF3B26D
SSDEEP	48:qzVw7ChaoV9/hQQVritNGVxJVDJ9QpSCmV7/NEd95ag3dVJV2ire73fVl8:qzVw7ChhlhpVrz97QWG/5vLnrgta
TLSH	T143817516D2B33E3043B392EB494BA12E6B2966BF0F02A07D71EE83105FC496441EB17D

Key	Value
FileName	./usr/lib/python3/dist-packages/datalad/support/path.py
FileSize	6949
MD5	1BCC34092BA8C1052EC6BCCA08B54D67
SHA-1	0205F1CA8E60C5A7A8FD92084A91ED2BDBC15D8D
SHA-256	C31BE3A96F67BDE7CA2B586B5BB8B18ABE19CDC0A118FA6EB94BA6C0F24E8501
SSDEEP	192:zZitPbn/kk6Wfg6sINzFfMQcK6IQhj15xjOEr:ktD6INzO1
TLSH	T17EE17406BA247A78C3539F661AB76057F727D2FF2F02242439CD82152F0257C47B86A8

Key	Value
FileName	./usr/lib/python3/dist-packages/datalad/core/distributed/tests/test_push.py
FileSize	36796
MD5	CBCA41CB9E0EDFCC36D572CF10418C1C
SHA-1	020863BF9C1EE6B7CA147F0664EECA0D543D8E15
SHA-256	5300686C863B8064449A975A81C93F931177B54408F41E821A92DB4D466AC3F1
SSDEEP	768:IiVi3Q2R8D+vLiPo15AEz1CBvr17lRCfOP7eDkjRZC0xNOSsydGY08U5C/KjD5AM:I9R8oObBYfz29T8HKm7
TLSH	T12DF2F9917F145C71438396BB98FAA6021980F1EB0C456419B9DE92883FAC37E71FB6F4

Key	Value
FileName	./usr/lib/python3/dist-packages/datalad/support/gitrepo.py
FileSize	164615
MD5	B27AEC1CEFBA2E8BA7EA84668D774F87
SHA-1	023729499EB6ABB866056DC51B194542A12DF1D2
SHA-256	51F92D04B787E57CE9E201D8067B2F53D26AE0FB3E04CA49C02B409C0FDFEF78
SSDEEP	3072:L0Mj/YrBxmJ+g1PKUjYC1Badv5PbKtq0zw2sLmYu:xj/Y1g1PK4YNv5e1sLmYu
TLSH	T102F3EB13A8151E378793C776A9DBE052D718C4AB2A4820387CED82583F4A574D2FEFD9

Key	Value
FileName	./usr/lib/python3/dist-packages/datalad/distribution/dataset.py
FileSize	28829
MD5	8CCACA969A31F14C2537BFE7BAE66A53
SHA-1	02B683D88A6A64C0EDFF2335A169C0A4FCC35978
SHA-256	1567029FD8F62E6E459F5A06B4F30A301346C476BCA46E3065F896FD754CFA8E
SSDEEP	768:ZePbFfok2u7rVo5FsCEghIgbsqOgp/y7N6yFMSPr:ZRa67smI7xMSPr
TLSH	T13ED2D997E740A639879387A5D9CFF5838314E1FB2680902878DDC0681F1ED74E1BB9DA

Key	Value
FileName	./usr/lib/python3/dist-packages/datalad/metadata/extractors/datalad_core.py
FileSize	4770
MD5	42C3038DDA82775834B1FD0B95C163FC
SHA-1	02FDF365586E2008E065098B7CA57B4A78A56F45
SHA-256	066B05D6AED83DDB6A7CC3AF8D0D7831D4C3A1182CB225AE09CC5110C998C6DA
SSDEEP	96:qp2VI8GKjHI8kPcDUh+0bBsmCYwxfrKhmU5:zRzo8kEDU00t1aC
TLSH	T1AFA12112B983781783B782B44DCAD1425314717F1F4BD01A3FDF4A246FA85DC72A9EA8

Key	Value
FileName	./usr/lib/python3/dist-packages/datalad/core/local/save.py
FileSize	15240
MD5	7AE6FBEF625053CD6F0FEB7A60796BED
SHA-1	034B6D881909474419A9E16AA098D2B4A72530F5
SHA-256	703CD2090C8C9225C716B61370BBE48A1716A7B248023F5CF2D9A3AD779F4973
SSDEEP	192:zPVle3m83NfWqFp7rkoz4MXBP+/+4iSsa9Yp61rwryL1sjJJHYHvr0ek5Wh5/TFj:eLfL4iSlCgFL1iJJgj0PA/Jj
TLSH	T17662C7137B54513ACBA30285581F60246764F16F2D81B02C7ACE93301F1E9BEE2BB6E7

Key	Value
FileName	./usr/lib/python3/dist-packages/datalad/distribution/tests/test_update.py
FileSize	33203
MD5	39C95F6E64C762B2440A2ACF15FAB66B
SHA-1	0487AA7C4DE839D22ACC4C77B532A2A9EF5C6AE6
SHA-256	55B8CE0347C91501161EA0AF0C6BA690AEB1DE07EF04C4A9CA2AD1FA91F431DF
SSDEEP	768:7mueZ/nEnNnfstIPoFlwqqBpNVjtvuovTo+gGuayrCqgzOkUzuxcYuDIEc5aNxWu:Sx/nEnNnfstIPclwqepNVjpuQodGuayz
TLSH	T1ACE2C785E731DE2007D3B33B55BB65A31500A29B09545484F1AEC3A13F0DAEAA5BF2FD

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