Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/datalad/tests/test_archives.py |
FileSize | 6858 |
MD5 | ED5778926F98190BB1A02E9EF92E8E52 |
SHA-1 | 078295D62A66D4DCEE0A67A02CC9EFDF2E27F5E9 |
SHA-256 | F6006FE6EDF6457E339DFFD8ADE88943A8648B6CD2AC99C3C28C7EC769D5DEF3 |
SSDEEP | 96:qp2VbeCH3M5lehszuV6WbjQSmkyxkOccJDRlQ+lQuvYXx6VVTnhn0Zn6rnXbsyX9:zSnyYtSmScJNe+tv3D |
TLSH | T19AE122353CE63D16D79B7BA95947842A010088EBBF4B00D8FF7D0585DF18EAA52E25F1 |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 906488 |
MD5 | 85D7506038725F32F8203D35E7E3A012 |
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 2, 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@neuro.debian.net> |
PackageName | python-datalad |
PackageSection | python |
PackageVersion | 0.11.2-2 |
SHA-1 | 9FA9FD4E0CB26A0DCF3B7BC21BF789FB17122E5D |
SHA-256 | 6E03232C489322FB70E20C8822BBF11721D934E78FA0E006EF39F8DC7664143E |
Key | Value |
---|---|
FileSize | 906644 |
MD5 | BD3702BC6237BFAAE25D82D65E47A5E7 |
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@neuro.debian.net> |
PackageName | python3-datalad |
PackageSection | python |
PackageVersion | 0.11.2-2 |
SHA-1 | 714FE732B553A368AD74A36D3B55422E5526618F |
SHA-256 | A14BD06741EB127E0B7574E6412AB71C0054FBC84434ACC6A407E089270AC994 |
Key | Value |
---|---|
FileSize | 887220 |
MD5 | 1A777E801B6BC3A3992867B96A5FDED0 |
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 | 0.11.2-2 |
SHA-1 | 0C9AA28E6D232D92E16D2E8805253357D16079A0 |
SHA-256 | AE449CF4B8FBD6020E548C88EA900AF8F139BB59D44A0002F6DF839F3E975643 |
Key | Value |
---|---|
FileSize | 887044 |
MD5 | 7E84901EA7D3A9A993925678844D53F6 |
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 2, 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 | python-datalad |
PackageSection | python |
PackageVersion | 0.11.2-2 |
SHA-1 | 39DED094CC71CE36D67122761570E803BBD195A5 |
SHA-256 | 11FBEA0D8EAB1B6CC83F691AB7FC9FCE032C5EEE9FBB01FE7412F282CD56A99F |