Package: datalad Version: 0.7.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python-argcomplete, python-datalad (= 0.7.0-2~nd100+1), python:any Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.7.0-2~nd100+1_all.deb Size: 66286 SHA256: 4b5babb074a4688a19c483255b2bca4655041c7097037f865b1faa051a36fe85 SHA1: 6c9587036437c32d1d64d04025cfe0045b1d0830 MD5sum: 6b8979d628b568fdcbb1f17a8d9f49ea Description: data files crawler and data distribution DataLad is a data distribution providing access to a wide range of data resources already available online (initially aiming at neuroscience domain). Using git-annex as its backend for data logistics it provides following facilities . - crawling of web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc - command line interface for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get), as well as search within aggregated meta-data . This package provides the command line tool. Install without Recommends if you need only core functionality. Package: git-annex-standalone Source: git-annex Version: 6.20170525+gitge1cf095ae-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 164613 Depends: git, openssh-client Recommends: lsof, gnupg, bind9-host, quvi, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_6.20170525+gitge1cf095ae-1~ndall+1_amd64.deb Size: 34661988 SHA256: 7476a401212cdfccb4071413d593eb4a6a2a3b90abfe35dc2f21b49a5aa906de SHA1: 25957a76088e23087397fab4b552dec5e62dd17a MD5sum: 9b28890978374ebe8919567ecd37843a Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with a dozen cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: nuitka Version: 0.5.26.4+ds-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3461 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python-dev (>= 2.6.6-2), python:any (>= 2.7.5-5~) Recommends: python-lxml (>= 2.3), python-pyqt5, strace, chrpath Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.5.26.4+ds-1~nd100+1_all.deb Size: 683878 SHA256: 975a385b58daec07bee9c2782221b94a245474647ea72a763999ff36e54f5e2d SHA1: 7f68313131ebb516d9814a69c7046a77bca1cc76 MD5sum: 4c75d70c942c58d3092c74e2b515881b Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: python-datalad Source: datalad Version: 0.7.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3650 Depends: neurodebian-popularity-contest, git-annex (>= 6.20160808~) | git-annex-standalone (>= 6.20160808~), patool, python-appdirs, python-git (>= 2.1~), python-github, python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage | python-keyring (<< 9.2), python-keyring, python-mock, python-msgpack, python-pyld, python-requests, python-tqdm, python-simplejson, python-six (>= 1.8.0), python-wrapt, python-boto, python-jsmin, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-html5lib, python-httpretty, python-nose, python-numpy, python-requests-ftp, python-scrapy, python-vcr, python-yaml Suggests: python-bs4 Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.7.0-2~nd100+1_all.deb Size: 707520 SHA256: afc01141c5d52675a8e324df201745562f90a7c0bc60d06b06ef90346638491b SHA1: 5e5d058b091b8324853ff26f630f8a31b31b4393 MD5sum: 9135212fc9154b6cf61180b027419ae6 Description: data files crawler and data distribution (Python 2) DataLad is a data distribution providing access to a wide range of data resources already available online (initially aiming at neuroscience domain). Using git-annex as its backend for data logistics it provides following facilities . - crawling of web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc - command line interface for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get), as well as search within aggregated meta-data . This package installs the module for Python 2, and Recommends install all dependencies necessary for crawling, publishing, and testing. If you need base functionality, install without Recommends. Package: singularity-container Version: 2.3.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2344 Depends: neurodebian-popularity-contest, libc6 (>= 2.16), python Homepage: http://gmkurtzer.github.io/singularity Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.3.1-1~nd100+1_amd64.deb Size: 288040 SHA256: eb20f6b95ebadb0b1093f7bbf7bd3b182a42978dafd3904cbef944a744b3835c SHA1: 73272936b91e506ea2586fd79df17e40d2f3efb2 MD5sum: 512a341c2e61601298e84c67001234b8 Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container-dbgsym Source: singularity-container Version: 2.3.1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1294 Depends: singularity-container (= 2.3.1-1~nd100+1) Homepage: http://gmkurtzer.github.io/singularity Priority: extra Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.3.1-1~nd100+1_amd64.deb Size: 979612 SHA256: 43106156e5fc8ab6c9cfda341f4eb3757c13a40b0ec99251e8f93415a15f9c7d SHA1: 15ae82d20d1cc3e8747e4ec51aa83adb6ef86e5a MD5sum: 54d99e82b87d8323d37fff9249300233 Description: Debug symbols for singularity-container Build-Ids: 00576af8d457f8e10a84033811c0d92b5bc7ef5b 1a14f9b55b975f0eb065c7b7f1e1b0590cc1a2ec 294ff7ae3a95aa28e0603dfa77c87e6d782d7154 3db88c62c692fbdc3f8efdb15d7f7e8916b1dbf5 4204720efff869881ebfc6d86232bd1ab761c4d2 695e5e7193b1cf20cb86cefdeed83ba278beb8a9 77398d18467b7132898eb85b700f29e7114ff81d 81a1681a08bfbb693b6f3bf9c73d5329ac50207f 99810957efdfe5a45cc6db6cf26d32a5c27929ef 9ae93818f1ef175a40c72a7549be4c03f20c2d94 9e0456cf4d5a2432696b16a853deaca49e1d6613 a2db705b18738e1fee74db1452dedb7dd838b6a9 ab6ed56d4dee60a3e6cc9b9454ed00f1ac7dec40 ac15177a67dbb0dc483f2ed02db3a325aaa6cacd c40c3476f852280b5fbdf07ef1dfd1edf8bfb5dd e21aab48e4632b8d784291ca066669dfb912a0a0 ee416f8f4edd4c6212f1e48b01a5f76e0161b6fa fb9ffdc34952f15e8b7786a0698d1b8b70b561cd