Package: datalad Version: 0.9.1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, python-argcomplete, python-datalad (= 0.9.1-1~nd16.10+1), python:any Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.9.1-1~nd16.10+1_all.deb Size: 72338 SHA256: f32ddcefc8d701b3ae897e65e87a6370ba4088814bcc55f64000213ef81fcf5d SHA1: 07cf5bdba0f7e9a47cc33a3d7f86949fd8d65faa MD5sum: 89685c2936a7d51889c7afffed23beb5 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: fail2ban Version: 0.9.7-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1274 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), init-system-helpers (>= 1.18~), lsb-base (>= 2.0-7) Recommends: python, iptables, whois, python3-pyinotify, python3-systemd Suggests: mailx, system-log-daemon, monit Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.9.7-1~nd16.10+1_all.deb Size: 262474 SHA256: 3ea30f6147b8c438449464618578f6f78a21c6aaae0e19f07eb8f7989a038d7a SHA1: eeaf48d38df1199ce608de4d13ba5228d8d74566 MD5sum: ba602683afe5185db86aeb4d4c7c226b Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Following recommends are listed: . - iptables -- default installation uses iptables for banning. You most probably need it - whois -- used by a number of *mail-whois* actions to send notification emails with whois information about attacker hosts. Unless you will use those you don't need whois - python3-pyinotify -- unless you monitor services logs via systemd, you need pyinotify for efficient monitoring for log files changes 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: 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: 0.5.28.1+ds-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3543 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_0.5.28.1+ds-1~nd16.10+1_all.deb Size: 705794 SHA256: 45d8281922198ae0c0882c1aa50af69c820e7dd36f576ddd6611031302c0d897 SHA1: 3fb79ebbedce5a464a007c9846bf6951d206a39a MD5sum: 56c739008ab1ae02fdb18803495b31e8 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: prov-tools Source: python-prov Version: 1.5.0-1+nd1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-prov (= 1.5.0-1+nd1~nd16.10+1) Homepage: https://github.com/trungdong/prov Priority: optional Section: utils Filename: pool/main/p/python-prov/prov-tools_1.5.0-1+nd1~nd16.10+1_all.deb Size: 6940 SHA256: 24cc27ea014089213c4668f054cf05b518abe716d3c75e085f5acd4afa03711b SHA1: 55ceb639983a7137745ea53e7e91f7a0d664c6e6 MD5sum: 78a7ae5487e90461130569cbb4589fa6 Description: tools for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the command-line tools for the prov library. Package: psychopy Version: 1.85.3.dfsg-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15994 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-requests, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython, python-future Suggests: python-iolabs, python-pyxid, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.85.3.dfsg-1~nd16.10+1_all.deb Size: 6666288 SHA256: d5c7267dc4fce87eee45e6b37ef3974c0ca09658a5f150b5dd174e7bf84e0d0d SHA1: 6b013ce7e5a7ce42c6da6df98f5073a0a14801cf MD5sum: 20b03b4744fb6d1e156cde68f6f2d75c Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.14.20170611.dfsg1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254124 Depends: neurodebian-popularity-contest Recommends: alsa-utils Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.14.20170611.dfsg1-1~nd16.10+1_all.deb Size: 24281738 SHA256: cc0643cdc16fbe3853ffd8f6c81f5cef211d831f98fce8592a561dcca5961b26 SHA1: 739e2aa2635d06f0d3357c872a1ccf447d420b4a MD5sum: 245d3854514cae5e6ca3c1056fef7075 Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: pypy-six Source: six Version: 1.10.0-3~bpo8+1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest, pypy Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/pypy-six_1.10.0-3~bpo8+1~nd16.10+1_all.deb Size: 11722 SHA256: f8327ad9264470f25d91c245a1d4209874bb7d47984f8522451ead235303a1c5 SHA1: 2f139138d041faebead2e77c3338d7d39f3ed175 MD5sum: 1077649801bbf70b8c3bd94e0e26aa8c Description: Python 2 and 3 compatibility library (PyPy interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the PyPy module path. It is complemented by python-six and python3-six. Package: python-click Version: 6.6-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 258 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python-click_6.6-1~nd16.10+1_all.deb Size: 56174 SHA256: 32d0b5e186ff972dd41c006c235d02264ac9445d39dfa4791189f44f3096a91a SHA1: f5306481f1332b056cfb87d4551dc75f5f6ee942 MD5sum: 4ed195d0c7aba265e847fd7b48554490 Description: Simple wrapper around optparse for powerful command line utilities - Python 2.7 Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 2 compatible package. Package: python-datalad Source: datalad Version: 0.9.1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3821 Depends: neurodebian-popularity-contest, git-annex (>= 6.20170525~) | git-annex-standalone (>= 6.20170525~), patool, python-appdirs, python-git (>= 2.1.6~), 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_0.9.1-1~nd16.10+1_all.deb Size: 741478 SHA256: a20e6ef5e68e8a0de3c964cfb6842b044a34f695fe92abf177989bc841f63903 SHA1: 9e1e5b741426013e2339e96e1fca277c75e2efd4 MD5sum: 0f02c6ccd4dc8babe035c2505196643e 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6926 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-dipy-lib (>= 0.12.0-1~nd16.10+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~nd16.10+1_all.deb Size: 3011930 SHA256: 14cc74cfe0ad317b5398c8e4683843583e8ba9e76dd1a702d46eed2e06ddc8dc SHA1: bd38cea9725d50e3e088f4cd1d171479d38f3d8f MD5sum: a39834bbb9c26669c2cf1ba744b9e26a 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14201 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~nd16.10+1_all.deb Size: 10545858 SHA256: 8307e60d43365df920e381828a7ebf7f78c02b6c79e5d4607b4393c136dfffa2 SHA1: 58b4a2b436e2c42cbd43f75444cc2f3fe4cd8233 MD5sum: 5a44a14563f50de1f08b14b35061b1c0 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-git Version: 2.1.6-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1635 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.1.6-1~nd16.10+1_all.deb Size: 300132 SHA256: a51587d888885e34d5461e986a92aa4559d52174038ec2a9f9211d3a2ac339a5 SHA1: 6b080e9ef920f855606809f36fe852cde187116c MD5sum: 105ffbf4c8d27fdd38e243736ddd125f Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 2.1.6-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 980 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_2.1.6-1~nd16.10+1_all.deb Size: 127658 SHA256: c9f5683696ee90ee3c1dca7aec79c92a38515b3368812bfbb83507e16f28c965 SHA1: 0d329e664a008043069e855d17e0b500a32b3b9a MD5sum: 0cc167ee6b628bc2731bbca803962f21 Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-mvpa2 Source: pymvpa2 Version: 2.6.1-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8560 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.1-2~nd16.10+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit, python-mock Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.6.1-2~nd16.10+1_all.deb Size: 5099038 SHA256: 76c7e4335548f03cdda3b450953270c61be1cd19b6673cf0d0722dbf9136d2f6 SHA1: 94018221af8b8974bcb1e19430e73ed5d39835c3 MD5sum: 8b742fbed9397d689ed82735ca19c1c6 Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.7 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.6.1-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36315 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.6.1-2~nd16.10+1_all.deb Size: 4649770 SHA256: aec3ff0bf9ca2a2cc26fcc522723df871f3d0e57ee15bc3bf2a190a54faf3773 SHA1: 2282905528b8e8c94b7129819074cd0cd785a219 MD5sum: 53769931f291488534340169c5ebe7b5 Description: documentation and examples for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a HTML documentation (tutorial, FAQ etc.), and example scripts. In addition the PyMVPA tutorial is also provided as IPython notebooks. Package: python-nibabel Source: nibabel Version: 2.2.0-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64679 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-numpy, python-scipy Recommends: python-dicom, python-fuse, python-mock Suggests: python-nibabel-doc Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.2.0-1~nd16.10+1_all.deb Size: 2199918 SHA256: b5ce55da9b1e2d475d17b133b2cc38cd85924e3c54de013bdbceeb2a7eead5b0 SHA1: 915a1a3a2fc6dab9af34178cd3381b5029336a8a MD5sum: 37b1693f1c1baee8676552718af7496d Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.2.0-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20785 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.2.0-1~nd16.10+1_all.deb Size: 3011746 SHA256: 99df11ff9f555978c86c3d2ce5a2030566c0881846b2f23c7b8943ff4c1e0670 SHA1: cab6af9edfe83648240e043c5d6c2c335cc67d2c MD5sum: 604a8c138ab9f4c8fc709ef3661cfc1e Description: documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format. Package: python-nipy Source: nipy Version: 0.4.1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3545 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.1-1~nd16.10+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~nd16.10+1_all.deb Size: 779772 SHA256: 2d3307992f663ec37a497c43169399f81ac236285735ffa70063d5cc6b5dd01a SHA1: 53056e55ee42ecec5f27acc36daa4747ab8e33e7 MD5sum: 9a0394be63096038f8b97ab6d2884d21 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10720 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~nd16.10+1_all.deb Size: 2859118 SHA256: 3f4e16b6e14cf0cf5280c6838734924d782a15de615f8b7e1e5d6725d9809ec4 SHA1: 2ebb6a2128c555f1891433af0cee023b5cfddbf4 MD5sum: 661587e14a331cb70170253bbac93ab2 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-pprocess Source: pprocess Version: 0.5-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-pprocess Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-2~nd16.10+1_all.deb Size: 83172 SHA256: c875c3e07f2204b4a22a426d7c8c89df415d797f23d2b8e6069545456dd527fd SHA1: e2525465a40f3be802602cf0477c8f34a1cc7b32 MD5sum: 37e65fd749b7988bb8e0ebaa5aca3cd8 Description: elementary parallel programming for Python The pprocess module provides elementary support for parallel programming in Python using a fork-based process creation model in conjunction with a channel-based communications model implemented using socketpair and poll. On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Package: python-prov Version: 1.5.0-1+nd1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1951 Depends: neurodebian-popularity-contest, python-dateutil, python-lxml, python-networkx, python-rdflib, python-six (>= 1.9.0), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-prov-doc, python-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python-prov_1.5.0-1+nd1~nd16.10+1_all.deb Size: 100618 SHA256: b8d985f4238ad8deaa139f3bcc9f0d08d3606e378bf62ef2177878651f5a18da SHA1: 93238737516ecc64ecb95dc27680859712640de7 MD5sum: c99ea8d71581c47a6946e483160b8827 Description: W3C Provenance Data Model (Python 2) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 2. Package: python-prov-doc Source: python-prov Version: 1.5.0-1+nd1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 958 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/trungdong/prov Priority: optional Section: doc Filename: pool/main/p/python-prov/python-prov-doc_1.5.0-1+nd1~nd16.10+1_all.deb Size: 76636 SHA256: 2aeee990c70b45c5062f5033caa78bf32c908857a9d192822899e23d1bd1076c SHA1: 99b6cafe7c834ccb945d62dfe899f8630f7a3a51 MD5sum: a4d76b310e84cda436af0dff14749942 Description: documentation for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the documentation for the prov library. Package: python-pydotplus Version: 2.0.2-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python-pyparsing (>= 2.0.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python-pydotplus_2.0.2-2~nd16.10+1_all.deb Size: 20322 SHA256: f0bcc06713e2224bc5df41330d7080f7cd30c2bfea27a900946a834529002562 SHA1: 0188b4080058fc2fac657702776fb15438857e8d MD5sum: 3244608551cac07910f20069b088a5e2 Description: interface to Graphviz's Dot language - Python 2.7 PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 2.7 module. Package: python-pydotplus-doc Source: python-pydotplus Version: 2.0.2-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 533 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-pydotplus/python-pydotplus-doc_2.0.2-2~nd16.10+1_all.deb Size: 47682 SHA256: e652381942582d862b29b8c2c2599c11f6458ebf88efd8c750f4f5da2217b4ec SHA1: 8b8e82888144d8d52a7cc68056af2ebc6a2bdacc MD5sum: 23f2b5dd0d7141533ca3aca0f6ec9313 Description: interface to Graphviz's Dot language - doc PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the documentation. Package: python-pyglet Source: pyglet Version: 1.3.0~rc1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5414 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-ctypes | python (>= 2.5), libgtk2.0-0, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa Recommends: libasound2 | libopenal1 Provides: python2.7-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.3.0~rc1-1~nd16.10+1_all.deb Size: 1121434 SHA256: 6f0fba6f788471538cc673f6a92ab8796436270664c2b43bf80fbb949b8f813a SHA1: e163aff1d6ac1181c6ab418d05fea705308e5988 MD5sum: 1d8a25757f7d037a89713b62604a1c91 Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-rdflib Source: rdflib Version: 4.2.1-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1240 Depends: neurodebian-popularity-contest, python-isodate, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-sparqlwrapper (>= 1.7.6~), python-html5lib Suggests: python-rdflib-doc, python-rdflib-tools Provides: python2.7-rdflib Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python-rdflib_4.2.1-2~nd16.10+1_all.deb Size: 238040 SHA256: 7642c218dcfde52f7de9861becad685fcd9c6b61465d81ee700c34c8f36c96be SHA1: 6d57a60c0ee0d52d5da134cd101a932d5a0728f9 MD5sum: 360f8c41818a3fb7d95d67042ac02699 Description: Python library containing an RDF triple store and RDF parsers/serializers RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains the Python 2 version of RDFLib. Package: python-rdflib-doc Source: rdflib Version: 4.2.1-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8157 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.4.8-1) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: doc Filename: pool/main/r/rdflib/python-rdflib-doc_4.2.1-2~nd16.10+1_all.deb Size: 589198 SHA256: 57baa851a1099a6d7f9471dd2b8c5d19d2192f44c1d0b09cd8fef12c2e867c04 SHA1: 8bf933a8b919240764f16c6a371a1417d41f7a60 MD5sum: 871960e931c3879ad04040e95b7c3c41 Description: Python library containing an RDF triple store [...] (documentation) RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This is the common documentation package. Package: python-rdflib-tools Source: rdflib Version: 4.2.1-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 Depends: neurodebian-popularity-contest, python, python-rdflib (>= 4.0.1-1) Breaks: python-rdflib (<< 4.0.1-1) Replaces: python-rdflib (<< 4.0.1-1) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python-rdflib-tools_4.2.1-2~nd16.10+1_all.deb Size: 11846 SHA256: a27dc1fbc95fd66006da2c6d34ed25c29b1ec1205876a6d81eb04b25285182d1 SHA1: 07b79a3099d4f1f6954fc5c71b7300973b956579 MD5sum: f7fd79d5deafd8a2120fc2535b3a9307 Description: Python tools for converting to and from RDF RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains some executable tools. Package: python-rpaths-doc Source: python-rpaths Version: 0.13-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 127 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.4.8-1) Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: doc Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd16.10+1_all.deb Size: 24354 SHA256: 03ece9d40d15573e765826a5e0cb2fede24aea6c32224f1b9d646150a1cc957b SHA1: 6ded8d37eb1fb0a417b6287ae592be3d29ba58db MD5sum: 2bdca8a7db016c8733c79c5f7faf30d4 Description: documentation for rpaths rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the documentation. Package: python-scikits-learn Source: scikit-learn Version: 0.19.1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.19.1-1~nd16.10+1_all.deb Size: 85318 SHA256: 192a5b30cdc980a64c7e3b2a96f0a210078d9fb61554ecb0a32e238e9e1c1f58 SHA1: 1fc10cf58615da1853b6b0c7d8d2089ffa123099 MD5sum: 11ac3ac109fe398e5e6f7f1970d0620a Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-six Source: six Version: 1.10.0-3~bpo8+1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.10.0-3~bpo8+1~nd16.10+1_all.deb Size: 11738 SHA256: d7d0eaa92508856ae7188526eb4b26781759b8ef910a2a993524a6b475e2e254 SHA1: 207de16057a2c63a0eb0c1327f4bdd78c084d8b0 MD5sum: 65af7495f42b787aad734863659026ea Description: Python 2 and 3 compatibility library (Python 2 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 2 module path. It is complemented by python3-six and pypy-six. Package: python-sklearn Source: scikit-learn Version: 0.19.1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7020 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.19.1-1~nd16.10+1), python-joblib (>= 0.9.2) Recommends: python-nose, python-pytest, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.19.1-1~nd16.10+1_all.deb Size: 1456188 SHA256: cc355cd36800577adb1973a1498fa653d07a17f094c7d6a1fc73521ef9e0ca3e SHA1: 0556d020314dfe0cb8bdc34bb628f0b31101fa69 MD5sum: 0860f7339a72cbfb3126d1f97021db05 Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.19.1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 33145 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.19.1-1~nd16.10+1_all.deb Size: 5047774 SHA256: 0a932a6ac615d4b6b6ad048ab9866c42f769a5de0e491d62329c3ac5b822d925 SHA1: 5116349586987c5d9c32af14662cec0a5b1f2975 MD5sum: f395a9dcaf767a966402fcd10d38a29a Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-rdflib, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python-sparqlwrapper_1.7.6-3~nd16.10+1_all.deb Size: 22154 SHA256: f67e9698585def43ce0cb843da98688250bf4980813d56d5466d9a7a76ef9f2f SHA1: eec079be52007a036e25b3b0a097610c776a29fa MD5sum: 3c377e1fd34d8a0dbf14827d89241dc7 Description: SPARQL endpoint interface to Python This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 2 version of the package. Package: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd16.10+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~nd16.10+1_all.deb Size: 290748 SHA256: 18a1aea1cc556dfcdc026d7dd3402d8a9da92accc80702b1b265dfbf07b78608 SHA1: 62cbe449395f35bc6d96c70c539a4d7c38713e3b MD5sum: 8f1f1e8eb42f440e7c991560d6238178 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2218 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~nd16.10+1_all.deb Size: 242488 SHA256: 8a79e85853aef625e9c45e3585cf21569b4c9f6ba30d6b1993e1caa7a4074ef5 SHA1: d83c5d50324302ec657b6df5c0ff7197e8ed4eae MD5sum: f585674764ee3426557485866d9dbf96 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: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 465 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: doc Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd16.10+1_all.deb Size: 51954 SHA256: 05dcf728c1a633f29072bced4962c9c546be594928b3c10c2a38824f6521d33f SHA1: 411b680fbe227e0ea8ebe7f7bf984bbdb3b6f011 MD5sum: 73bf45d7d19f60f49809f451a5a88989 Description: decorators, wrappers and monkey patching. - doc The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the documentation. Package: python3-click Source: python-click Version: 6.6-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 258 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python3-click_6.6-1~nd16.10+1_all.deb Size: 56250 SHA256: 4447a544b603f966204d9e2fb175df83c81769c7f7fe3aa6de425fd9b66ed860 SHA1: 235894dc54c7fddd1c2696390855e99cecc3fcc2 MD5sum: 9003dbb977789a8ccef55badbe49b1de Description: Simple wrapper around optparse for powerful command line utilities - Python 3.x Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 3 compatible package. Package: python3-git Source: python-git Version: 2.1.6-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1632 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any (>= 3.3.2-2~) Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_2.1.6-1~nd16.10+1_all.deb Size: 299752 SHA256: f743b5103c947f9dd1efb06405eb0527de7a4fe6cb9b11606f3d88e6a94451f9 SHA1: c050250ffd4839c60d2accee54019aa57a7b6f68 MD5sum: 26395172bb696d0c6bf0c92b20a761ec Description: Python library to interact with Git repositories - Python 3.x python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 3.x module. Package: python3-nibabel Source: nibabel Version: 2.2.0-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64651 Depends: neurodebian-popularity-contest, python3-numpy, python3-scipy Suggests: python-nibabel-doc, python3-dicom, python3-fuse, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.2.0-1~nd16.10+1_all.deb Size: 2192872 SHA256: bf15e903223ea8384cb5cebe8144eac2f1270c9e94fae5bf0ca34ab597d46161 SHA1: ff3906c7ae22f082cae0d76594e6cbcea4c5d871 MD5sum: 0481292b6b4dd79a22dde40a29f5e24a Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-prov Source: python-prov Version: 1.5.0-1+nd1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1951 Depends: neurodebian-popularity-contest, python3-dateutil, python3-lxml, python3-networkx, python3-rdflib (>= 4.2.1), python3-six (>= 1.9.0), python3:any (>= 3.3.2-2~) Suggests: python-prov-doc, python3-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python3-prov_1.5.0-1+nd1~nd16.10+1_all.deb Size: 100790 SHA256: eda116fc858ae257731653425cbc4fc70fb7315125715f84d5a2e9a15e5d35c9 SHA1: 655f5be48a6e1709b647bf7f49b6ffd768aef9c2 MD5sum: 8913f06d2daac4bde60b70f45c4079f7 Description: W3C Provenance Data Model (Python 3) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 3. Package: python3-pydotplus Source: python-pydotplus Version: 2.0.2-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python3-pyparsing (>= 2.0.1), python3:any (>= 3.3.2-2~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python3-pydotplus_2.0.2-2~nd16.10+1_all.deb Size: 20402 SHA256: 109cf12269bab55a82c280b1d922ab95cf47ead0951e7483d2e87d6db6fbe4ae SHA1: 31fdf098923e50a5690db9d29506c819a86e463a MD5sum: f83f3759a21211f2c396b30e3a4168bf Description: interface to Graphviz's Dot language - Python 3.x PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 3.x module. Package: python3-rdflib Source: rdflib Version: 4.2.1-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1237 Depends: neurodebian-popularity-contest, python3-isodate, python3-pyparsing, python3:any (>= 3.3.2-2~) Recommends: python3-sparqlwrapper (>= 1.7.6~), python3-html5lib Suggests: python-rdflib-doc Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python3-rdflib_4.2.1-2~nd16.10+1_all.deb Size: 236730 SHA256: db9dec2d407ae2787996462c3fd775921bf5c1b21ea7746868075533a7fc0cc7 SHA1: 4f827c396ac390ce7218da712f2e693f236d59b5 MD5sum: 50d98931750dae9df2dc7de136c0c92e Description: Python 3 library containing an RDF triple store and RDF parsers/serializers RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains the Python 3 version of RDFLib. Package: python3-rpaths Source: python-rpaths Version: 0.13-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-rpaths-doc Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: python Filename: pool/main/p/python-rpaths/python3-rpaths_0.13-1~nd16.10+1_all.deb Size: 12866 SHA256: 903d6e377acfa41416c78861f37347f27787709a15b98f24cbea63fdb0d17d09 SHA1: f9ab8c5a2871155718a6cec6d93f82ebfdb23220 MD5sum: d8d631ca51b3db9d2234ad5edcff0aca Description: cross-platform path manipulation library for Python rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the modules for Python 3. Package: python3-six Source: six Version: 1.10.0-3~bpo8+1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.10.0-3~bpo8+1~nd16.10+1_all.deb Size: 11806 SHA256: cd3f5393d91d7a1fa195de718d5dc3864b177911a192735db50fdc2c5f246b42 SHA1: 24cd769f947d17d22686059430a1e24f9d4caca1 MD5sum: 903de41fa224b9cce6e216852c4c73c3 Description: Python 2 and 3 compatibility library (Python 3 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 3 module path. It is complemented by python-six and pypy-six. Package: python3-sklearn Source: scikit-learn Version: 0.19.1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7019 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.19.1-1~nd16.10+1), python3-joblib (>= 0.9.2) Recommends: python3-nose, python-pytest, python3-matplotlib Suggests: python3-dap, python-sklearn-doc, ipython3 Enhances: python3-mdp, python3-mvpa2 Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn_0.19.1-1~nd16.10+1_all.deb Size: 1456036 SHA256: 7bf2f5097cd4e621c5d3fe25dcb3cde639436e78b8563f70595bdce258c196b6 SHA1: cbd5a187da4b45a93c628b305782196449541f8b MD5sum: 8aca9272ec1044f9b23f16e82a664066 Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 86 Depends: neurodebian-popularity-contest, python3-rdflib, python3:any (>= 3.3.2-2~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python3-sparqlwrapper_1.7.6-3~nd16.10+1_all.deb Size: 20738 SHA256: 36093261a89c7467e3f6df6c0920f811d6e51217fa075f50ae9f42587aadfcef SHA1: b3ebc2410d20b5f1471823943b8bdb992154fd62 MD5sum: aae68947aa38773bbbd5768019a15e77 Description: SPARQL endpoint interface to Python3 This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 3 version of the package. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd16.10+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~nd16.10+1_all.deb Size: 290750 SHA256: 60f0a9643a3807a1bea26c95d1a1ab571a7515ebe35ae83ad234094bea59580b SHA1: 3fa40ccf4905753d5c92011ac0a6355af2378a6d MD5sum: 11749974bf698038ea19d654b4540b4d 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