Package: datalad Version: 0.8.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, python-argcomplete, python-datalad (= 0.8.0-1~nd100+1), python:any Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.8.0-1~nd100+1_all.deb Size: 67728 SHA256: 08ede52d59f90e6a813a7d21439937528918355a048b6084a8c9552c3e8e804a SHA1: ed80131d6d985ccd2e43e2e5e9440ff4237ab399 MD5sum: 5c4ff8d71a0099423187e0618f15dea5 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: dcm2niix Version: 1:1.0.20170624+git8-g87d2142-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 521 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopenjp2-7 (>= 2.0.0), libstdc++6 (>= 5.2), libyaml-cpp0.5v5, zlib1g (>= 1:1.2.0) Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20170624+git8-g87d2142-1~nd100+1_amd64.deb Size: 129550 SHA256: 2afa7480898262c0d73e0ed4e3d9f16a14442551ffa42c8c3005dfedc48a200c SHA1: f8f7f790bb733a042b40a8eecf5349e0b4b4f558 MD5sum: f63d45a7625ec0b7b249753a49e5ce09 Description: converts DICOM and PAR/REC files into the NIfTI format This is the successor of the well-known dcm2nii program. it aims to provide same functionality albeit with much faster operation. This is a new tool that is not yet well tested, and does not handle ancient proprietary formats. Use with care. Package: dcm2niix-dbgsym Source: dcm2niix Version: 1:1.0.20170624+git8-g87d2142-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 552 Depends: dcm2niix (= 1:1.0.20170624+git8-g87d2142-1~nd100+1) Homepage: https://github.com/rordenlab/dcm2niix Priority: extra Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20170624+git8-g87d2142-1~nd100+1_amd64.deb Size: 514016 SHA256: ab0d5cbd5a715e08d083eb959092801ab10fbdaa207c7dcd4c1f9a91917eb5c7 SHA1: 4b2aea1ed1fc076e33fd24c590012db28cd8bc92 MD5sum: 4200381110e62c0b06da37c177fe6e46 Description: Debug symbols for dcm2niix Build-Ids: b37c3cad0cdc8a0fd48c576db9c99e571d91e9cc bcb3f4d86d4f4b5ad1b9455f52916af615e0cb2d Package: git-annex-remote-rclone Version: 0.5-1~ndall+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1_all.deb Size: 7842 SHA256: 0b1d65c740ce1073ecdae6db121d304fe02c4bb95df552326894118a65b38319 SHA1: 34a2323c4387e61c4a69617150c463f9a7b772c5 MD5sum: 00c5a0407a998eba72d4f5eb0ad71189 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 6.20170810+gitgff6f9e203-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 164683 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_6.20170810+gitgff6f9e203-1~ndall+1_amd64.deb Size: 34685750 SHA256: da62318baded1f4111cfb67ccb02c9e3fae6cf3bc428be1022cf16ab91098300 SHA1: 7242832453020599f5b6e180fd060f0cf6ad5175 MD5sum: 0f85db3847f6241eedf1d70100cecd60 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: golang-github-ncw-rclone-dev Source: rclone Version: 1.36-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 1198 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Built-Using: go-md2man (= 1.0.6+ds-1), golang-1.7 (= 1.7.4-2), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-blackfriday (= 1.4+git20161003.40.5f33e7b-1), golang-github-aws-aws-sdk-go (= 1.1.14+dfsg-2), golang-github-davecgh-go-spew (= 1.1.0-1), golang-github-go-ini-ini (= 1.8.6-2), golang-github-google-go-querystring (= 0.0~git20151028.0.2a60fc2-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-ncw-go-acd (= 0.0~git20161119.0.7954f1f-1), golang-github-ncw-swift (= 0.0~git20160617.0.b964f2c-2), golang-github-pkg-errors (= 0.8.0-1), golang-github-pkg-sftp (= 0.0~git20160930.0.4d0e916-1), golang-github-pmezard-go-difflib (= 1.0.0-1), golang-github-rfjakob-eme (= 1.0-2), golang-github-shurcool-sanitized-anchor-name (= 0.0~git20160918.0.1dba4b3-1), golang-github-skratchdot-open-golang (= 0.0~git20160302.0.75fb7ed-2), golang-github-spf13-cobra (= 0.0~git20161229.0.1dd5ff2-1), golang-github-spf13-pflag (= 0.0~git20161024.0.5ccb023-1), golang-github-stacktic-dropbox (= 0.0~git20160424.0.58f839b-2), golang-github-tsenart-tb (= 0.0~git20151208.0.19f4c3d-2), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-go.crypto (= 1:0.0~git20170407.0.55a552f+REALLY.0.0~git20161012.0.5f31782-1), golang-golang-x-net-dev (= 1:0.0+git20161013.8b4af36+dfsg-3), golang-golang-x-oauth2 (= 0.0~git20161103.0.36bc617-4), golang-golang-x-sys (= 0.0~git20161122.0.30237cf-1), golang-google-api (= 0.0~git20161128.3cc2e59-2), golang-google-cloud (= 0.5.0-2), golang-testify (= 1.1.4+ds-1), golang-x-text (= 0.0~git20161013.0.c745997-2) Homepage: https://github.com/ncw/rclone Priority: extra Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.36-1~ndall0_all.deb Size: 201776 SHA256: 88274c394a26a9f8f5f4766873acde54192537112e0f0e24ddfff1b9a5361f7c SHA1: fb44d37c3df4bdf641c85720b35bbfd835870a05 MD5sum: fdc9cfc7b0a9e18cdc83ed2fbce61433 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: nuitka Version: 0.5.27+ds-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3567 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python-appdirs | base-files (<< 7.2), python3-appdirs | base-files (<< 7.2), 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_0.5.27+ds-1~nd100+1_all.deb Size: 700318 SHA256: 15e18c072988e3c1dd24d415caa1a21c0a55efdb4be781883b06c92b5343a4b0 SHA1: afc3c44395da24d806c552b7d60e0fe1cb9090f0 MD5sum: 1634fcf2d06d74fca61289c2ac7098d6 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: 0.8.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3700 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_0.8.0-1~nd100+1_all.deb Size: 716930 SHA256: 043e2018114e41723b4a9ee71c827149d9fecd543ff4e459c2eccb5b5c0dd704 SHA1: 31cd5d16e4fb5ab74f52be0d5e17d9508ae2c0ce MD5sum: c88cb88c398723695ab825ef9f2c7dcd 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: python-dipy Source: dipy Version: 0.12.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6929 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-dipy-lib (>= 0.12.0-1~nd100+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel, python-tables Suggests: ipython Provides: python2.7-dipy Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.12.0-1~nd100+1_all.deb Size: 3014488 SHA256: f5a083cc63eff24a2be6a46b7d8f5ffb731dfcdf2cc4443b9d0b6ba5495a2e2f SHA1: 3f073f686180dd8865046ffb8c3e80c20b944a3d MD5sum: 0363ce5e7c8d159445e068f372cdde01 Description: Python library for the analysis of diffusion MRI datasets DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging. . Here are some of the highlights: - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE and MAPMRI - Fiber tracking algorithms: deterministic and probabilistic - Native linear and nonlinear registration of images - Fast operations on streamlines (selection, resampling, registration) - Tractography segmentation and clustering - Many image operations, e.g., reslicing or denoising with NLMEANS - Estimation of distances/correspondences between streamlines and connectivity matrices - Interactive visualization of streamlines in the space of images Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.12.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14215 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://dipy.org Priority: extra Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.12.0-1~nd100+1_all.deb Size: 10551850 SHA256: e422a518abf56346508fd94e8e0df481b9c7926aa6a8fbafcf9a54f6104fc61d SHA1: 16254163533e3554b325fd17c03563aa8c1952d4 MD5sum: 51b3af04733fb250180ae23bd4f4a4cb Description: Python library for the analysis of diffusion MRI datasets -- documentation DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-dipy-lib Source: dipy Version: 0.12.0-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9425 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.14), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.12.0-1~nd100+1_amd64.deb Size: 1838284 SHA256: 2fd1f4e4b21eb4b1533534bcf22bf1e06d2d86d67d504b70bfe4576269cfec89 SHA1: 3f6bbcd4544e2c0fcace89c6562b4b8807df9798 MD5sum: c45ce7906f502ddd4f7b1ddc1dd61c0e Description: Python library for the analysis of diffusion MRI datasets -- extensions DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides architecture-dependent builds of the extensions. Python-Version: 2.7 Package: python-dipy-lib-dbgsym Source: dipy Version: 0.12.0-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8938 Depends: python-dipy-lib (= 0.12.0-1~nd100+1) Homepage: http://dipy.org Priority: extra Section: debug Filename: pool/main/d/dipy/python-dipy-lib-dbgsym_0.12.0-1~nd100+1_amd64.deb Size: 7875654 SHA256: 571110b0ad69355a796fcbe1f95bdda9a8655f08070d41e9e107287f0085dd36 SHA1: 6a5a1d3d479e5ecb7b640f1842ba69ce8293cb21 MD5sum: 6f4969776ac0a94b94aeab618c4a4d34 Description: Debug symbols for python-dipy-lib Build-Ids: 084921106b5b8faa27f343faaf140c16ec8678f1 19cabc86cae473b4cc6f27e35ad4955a99e0e120 2654b16b4a107f245efa95d91c55c3b0f0c23f50 330e3502253124f857db1449331885d0b58922d9 347dff78a7ad89732a21d04cc3b99527c8ce6615 41367730e19a41a37e3e3fb044c20bb459b63544 41a4205e8579b8f22efa5b4d05b8f67b3e376e7a 4e0df7106ad82088ee09bb10bc2cb95bb8ae6bb8 4f8375b9bdea7d2499c3100239cccf7d3dc0e037 5d5af17fa12f0f43afc59d51784168ac1486aef2 5e219c292f3c12b8ddccbcdb0f07a266b57f0b69 6c841d39a3ebf6a5be8da507becfa20832f96a16 73ec41e2b5980d6ae84a2f889f21d085eed2ee4a 76bbbbc5c25b227b4e5c6ae777eb35ab61be4aff 7c39b355f84f49d1c67528212c4cf827911749d7 7da43111a75e62068b773d04ecd9bb5e4f8ac3fe 7dafefece304e62c4d50cb909094cbfdda0578af 813c24638068f0584a97a878cedb62bd962b9b13 9112b3d28b6ae015c6e8c5c97b87a6ef39c5c36d 9541459a691bea8b001a6e740c8c1d4fec94e70a a713d0637a78c95d6ae827ca72119df680ee1491 afb427fc8cd4430e464a9ad634d8ccfc97b1cc16 b294d72781713ab0f20209b5cebf650a9856a9a6 b92235e71b78b179ba72a602c30fbb56235218ea ba3aecaeaa30b64e1cf9d9b4645f267286621c75 c63bfb8576e0058d7ee41c14c8180cfd972af216 d1d1caba67eab461b55a14803bca2925a09fd559 d1e1b4e2970084ff9fef0cc72a340b8f3239e5ae d23c02b2c0addf054292dc5a25ea6d77d2b2b615 dc3702d6c1107142e59b51846f2b14233e5add29 f4039adc4cc7fcb205316719cd7efa5254d7822d fedfe03eeda56918e5da926b323b89d29ae335bb Python-Version: 2.7 Package: python-nipy Source: nipy Version: 0.4.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3546 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.1-1~nd100+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.4.1-1~nd100+1_all.deb Size: 784144 SHA256: 74eb2ddba77e9d911fe83c757f789d6be7cf2329ea278013be1c2483adaf5bdb SHA1: d80903a582877e6a20e2d1aa2e5e069c9031cc6b MD5sum: 2869269c0210ea80dbc4d2c88fa36610 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.4.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9677 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.1-1~nd100+1_all.deb Size: 1841564 SHA256: 9c6baf890a3db8c481d993773c3eafbc8181123578d3e4cc6ed5f70fc4c2043d SHA1: 2edd3b0bffbf23be5f20ac5bcbadbbbe28e1ce45 MD5sum: 48f02e986c9db62cdc14f73ed2386398 Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-nipy-lib Source: nipy Version: 0.4.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2791 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7) Provides: python2.7-nipy-lib Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy-lib_0.4.1-1~nd100+1_amd64.deb Size: 670352 SHA256: 62a313621ac6e5dabf4f35e03e0a7724831c98d9415ec19d6a9fb163e0c86d97 SHA1: 53dfaef2001df466919245b538d55ce4121ffa6e MD5sum: 3e6b31a7641b8931d24eac8f0502b01a Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipy-lib-dbg Source: nipy Version: 0.4.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3905 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7), python-nipy-lib (= 0.4.1-1~nd100+1) Provides: python2.7-nipy-lib-dbg Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg_0.4.1-1~nd100+1_amd64.deb Size: 682802 SHA256: 6f2d5e287898154fb0d7862878539d17319e776473326c4ba73db4715755b6e5 SHA1: 4247fbf7c6e85b44fdab1739beae9658d3ca67ad MD5sum: 0f46c93226229f496f33c5f54861a238 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipy-lib-dbg-dbgsym Source: nipy Version: 0.4.1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1329 Depends: python-nipy-lib-dbg (= 0.4.1-1~nd100+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg-dbgsym_0.4.1-1~nd100+1_amd64.deb Size: 834228 SHA256: 699a17d636f27f246ff0f92b8adb000ec1112266fa6eb47594d09f52ad31d536 SHA1: 8c7aac974e1ca98d3f572e4b96210f1fcfb4d47f MD5sum: d15d90001d2859d2ec4c52a0d5395da0 Description: Debug symbols for python-nipy-lib-dbg Build-Ids: 09ba45fdcd86f08f96796f97dac0b9e287857a64 1b5fcd38768e7c5215929fe19ee5e443f2272b3f 1c610b73af32d90ac2125d7bd0c1f0fbf48510bd 2e84bfbf4d856fc5441c30dee09e935ab7994297 463ed27cd424511494e9c777ab1e83dc3b491324 4be5d6af8f018ae952002735c424dc2e3dca58db 4d2b6640c10a89c8c0f6d31f66fa16016437a0b7 5c64b716c33964f4d449b9e9ccbb6514b02015e6 679019872d069a8bd534ffc43bb4d6fb9b4380c5 8cd6898b978209594897b0c8eb43ec8168ddb134 9c75bc0f0dd6fbf0f8601a0d1c13857eb8a3c26a b8601e3a3c388464032595f2d8fd1a981174cc68 cafec2befcb390d436fe6f65da313754e98360f2 e7ab642246d5829b4641bff0e257bba977fef142 Python-Version: 2.7 Package: python-nipy-lib-dbgsym Source: nipy Version: 0.4.1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2470 Depends: python-nipy-lib (= 0.4.1-1~nd100+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbgsym_0.4.1-1~nd100+1_amd64.deb Size: 2095602 SHA256: 7c00c8b7a4afff53bcd76f749a199b86dfc4f9866e647020eeffc98c92e2f405 SHA1: c3cac1770f1af32f2010c27fa27c2a42167268ef MD5sum: 804c04f61407092975b46779d9a0778a Description: Debug symbols for python-nipy-lib Build-Ids: 2ea6685e522c5ff4e975db65545efd9420286efa 317057c71b20b67f0d62e856fd6ba2715eb577b3 44ca14db2031e149d9d76aeeaa04b5b3e88ea25d 4b0d5e5a0c19b9cb0f52fec5d73f6d8f4919b67d 4ed6bc6b06c2be904bde1a300ff72bca2e482950 8817cb680f8b050e5fbc58f79fc00ab457e54983 8c2f2c11caca1f1f76e4c37dbaa474949849df04 a4fa83aae262319509626623cf360b5b3854e4db a69d2fd1d4b37d674bb9e9c56cd71c34c784f3a6 b69156b84f7fe91b70705570fc217babd0577bfa c44406a2c3853f703062ebf858951918c3a02a0c eb2a5c8aeafb547acf4151000a562791bb615e75 eeb6d29459bcc489e733d9bdb3223e33d43c3d56 fb758e06d453fa33605c667f14bcc975d5aa1d32 Python-Version: 2.7 Package: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python-whoosh_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 290690 SHA256: 5cc2d7491e8ab52563aa8a32cdd3a223b78899713b74fbce565c022bba475819 SHA1: 745ce72af3b29abb3e44f83ee80a8fe450908bd9 MD5sum: a4a92bdf70ca01e924e0381d347635b4 Description: pure-Python full-text indexing, search, and spell checking library (Python 2) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python2 library Package: python-whoosh-doc Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2213 Pre-Depends: dpkg (>= 1.17.14) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Replaces: python-whoosh (<< 2.1.0) Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: extra Section: doc Filename: pool/main/p/python-whoosh/python-whoosh-doc_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 241300 SHA256: c28cc15134ac59dfd4c7384e30f72d97f7b263f0e27d7074afb29d953e785352 SHA1: 23d3044711e4074d5e1be14cf7b4cf5d644c2b2e MD5sum: 5d4ab18c7fe2b916a8aea674872b4224 Description: full-text indexing, search, and spell checking library (doc) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the library documentation for python-whoosh. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python3-whoosh_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 290826 SHA256: 571725d4546678cbe70e525f38fc66853aa7fda32e27b56dfaac8ce5b674210b SHA1: fb6fa2b9a76d4ed9fec61aeb4972ce88487d5e7f MD5sum: b46e377dd534da6136e6d9d087ca69a2 Description: pure-Python full-text indexing, search, and spell checking library (Python 3) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python3 library Package: rclone Version: 1.36-1~ndall0 Architecture: amd64 Maintainer: Debian Go Packaging Team Installed-Size: 11599 Depends: libc6 (>= 2.3.2) Built-Using: go-md2man (= 1.0.6+ds-1), golang-1.7 (= 1.7.4-2), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-blackfriday (= 1.4+git20161003.40.5f33e7b-1), golang-github-aws-aws-sdk-go (= 1.1.14+dfsg-2), golang-github-davecgh-go-spew (= 1.1.0-1), golang-github-go-ini-ini (= 1.8.6-2), golang-github-google-go-querystring (= 0.0~git20151028.0.2a60fc2-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-ncw-go-acd (= 0.0~git20161119.0.7954f1f-1), golang-github-ncw-swift (= 0.0~git20160617.0.b964f2c-2), golang-github-pkg-errors (= 0.8.0-1), golang-github-pkg-sftp (= 0.0~git20160930.0.4d0e916-1), golang-github-pmezard-go-difflib (= 1.0.0-1), golang-github-rfjakob-eme (= 1.0-2), golang-github-shurcool-sanitized-anchor-name (= 0.0~git20160918.0.1dba4b3-1), golang-github-skratchdot-open-golang (= 0.0~git20160302.0.75fb7ed-2), golang-github-spf13-cobra (= 0.0~git20161229.0.1dd5ff2-1), golang-github-spf13-pflag (= 0.0~git20161024.0.5ccb023-1), golang-github-stacktic-dropbox (= 0.0~git20160424.0.58f839b-2), golang-github-tsenart-tb (= 0.0~git20151208.0.19f4c3d-2), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-go.crypto (= 1:0.0~git20170407.0.55a552f+REALLY.0.0~git20161012.0.5f31782-1), golang-golang-x-net-dev (= 1:0.0+git20161013.8b4af36+dfsg-3), golang-golang-x-oauth2 (= 0.0~git20161103.0.36bc617-4), golang-golang-x-sys (= 0.0~git20161122.0.30237cf-1), golang-google-api (= 0.0~git20161128.3cc2e59-2), golang-google-cloud (= 0.5.0-2), golang-testify (= 1.1.4+ds-1), golang-x-text (= 0.0~git20161013.0.c745997-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.36-1~ndall0_amd64.deb Size: 3007896 SHA256: 411f7f77ac00f6acb4d56085b8b7885c67dd40c559eec7ea5878124056caaf65 SHA1: 750dd2b0df62b311b2127a6360f29cc381cf514c MD5sum: a67712b0ea9da6855adea4cbd071999e Description: rsync for commercial cloud storage Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers: . - Google Drive - Amazon S3 - Openstack Swift / Rackspace cloud files / Memset Memstore - Dropbox - Google Cloud Storage - Amazon Drive - Microsoft One Drive - Hubic - Backblaze B2 - Yandex Disk Package: singularity-container Version: 2.3.1-2~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_2.3.1-2~nd100+1_amd64.deb Size: 287884 SHA256: f9556a761214ced542d3643055001c3e8c17d1c4607b952651b9df4309e8fdbf SHA1: c058ebfe0df8206a85c9f01324c1a0853b45f7ab MD5sum: 0ba0d25171895df9b60b912174663183 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: 2.3.1-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1292 Depends: singularity-container (= 2.3.1-2~nd100+1) Priority: extra Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.3.1-2~nd100+1_amd64.deb Size: 978708 SHA256: cdea1a576f60bdbb1be38b76c12cd286c0f5321af334a48d6aacee5edede0c14 SHA1: 21781858bf5b7e18ba0b2df4df4c47149d117384 MD5sum: 3a14f7d084d83adbef84c5d5acce2955 Description: Debug symbols for singularity-container Build-Ids: 12eb41ad9114b19ae29630848b7b941d55db2d79 18d70a84518384c92360b54a8afda353857dc431 22328b8f314890a229f5b02ff816b7ce1fc63915 3b941ee4d30ac2d22febe3e9d815f47c6ba4ec84 41696d55bd3c34f40baefcaff5dda566db60fddb 48afac9ba230c633a93ce0c6582f5dbcb0c191c7 503f60097851a0e2aa8179fa10e270bda9367704 775da4242304774e57066052d162cad39d1c00fa 7841fe57730e427c1fb277bbda9718798f087ecd 78fd3d81ddfdaea2fc2d24d0fe34fa63ec0e863b 841ee7d8c6d54a608dce536fc1b703fb09f0b99e 9b25563dcaeeacc6f47c534cab2a0e9fe94b6c24 9fe90f611d1a3d17c520824feb97f0700a2012e4 a6f400baa6bb03a0b7b80088fd2ff2803fd865a2 c4a18c1df737848e8ca669aef2985ca5c8cbee24 d8db5e74cda99a83825e0238819d7b8947de9d9e d9f2150cff2b8a0f8b2191fdf5fc4f0210e2fc2c fde93bd4564848e1c1689afaaa41ffe7a67c03d4