Package: btrbk Version: 0.26.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 306 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 3.18.2) | btrfs-tools (>= 3.18.2) Recommends: openssh-client, pv Homepage: http://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.26.0-1~nd17.10+1_all.deb Size: 85872 SHA256: 6f02401be1e5aa2fa7b75bbf33dd08b0769d4de0519b5962a4554eff468a25ab SHA1: 9a0a28707aca01c27e3ec8e103b9248d5aa9604b MD5sum: ec88a5d33b86ad0d3d4fb360051b68da Description: backup tool for btrfs subvolumes Backup tool for btrfs subvolumes, using a configuration file, allows creation of backups from multiple sources to multiple destinations, with ssh and flexible retention policy support (hourly, daily, weekly, monthly). Package: debian-handbook Version: 6.0+20120509~nd+1+nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23385 Depends: neurodebian-popularity-contest Homepage: http://debian-handbook.info Priority: optional Section: doc Filename: pool/main/d/debian-handbook/debian-handbook_6.0+20120509~nd+1+nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 21551248 SHA256: 84d2ead0e20866ebd8ecb17c7785811cc4bdabb9eb043bea406ad26baa221089 SHA1: 0f32851b45d13cba34d99a205d18c93669599478 MD5sum: a7fc6439850b6698036f01bcdff0f423 Description: reference book for Debian users and system administrators Accessible to all, the Debian Administrator's Handbook teaches the essentials to anyone who wants to become an effective and independent Debian GNU/Linux administrator. . It covers all the topics that a competent Linux administrator should master, from the installation and the update of the system, up to the creation of packages and the compilation of the kernel, but also monitoring, backup and migration, without forgetting advanced topics like SELinux setup to secure services, automated installations, or virtualization with Xen, KVM or LXC. . The Debian Administrator's Handbook has been written by two Debian developers — Raphaël Hertzog and Roland Mas. . This package contains the English book covering Debian 6.0 “Squeeze”. Package: docker-compose Version: 1.5.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 267 Depends: neurodebian-popularity-contest, python-docker (>= 1.3.0), python-dockerpty (>= 0.3.4), python-docopt, python-enum34 (<< 2), python-enum34 (>= 1.0.4), python-jsonschema, python-requests (>= 2.6.1), python-six (<< 2), python-six (>= 1.3.0), python-texttable, python-websocket, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: docker.io (>= 1.6.0) Homepage: http://docs.docker.com/compose/ Priority: optional Section: admin Filename: pool/main/d/docker-compose/docker-compose_1.5.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 76956 SHA256: 072bc175405809834661fc3b10d0ac9eda8e4d16170088ce5e9f157d2223245c SHA1: 623644e778eeb47b08f812d40d6453cc2598d527 MD5sum: 5c771b01ca60997d547fc3e5a0c2502b Description: Punctual, lightweight development environments using Docker docker-compose is a service management software built on top of docker. Define your services and their relationships in a simple YAML file, and let compose handle the rest. Package: fail2ban Version: 0.9.7-1~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 262508 SHA256: 70e71599834f24ab399293e569e3b590ea65c15a970ecdb5b908fb3b05eea7b8 SHA1: 9672ba757ef9f3f5c9aba2d3be0ae188c34e96e5 MD5sum: c44c8923290945181bc39f2510929f50 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: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1), freeipmi-tools, freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 1184 SHA256: 0f0bdc4754130135ea4001fab821de5a0a451da2c47dda8d034d9b2b12237eac SHA1: 5fc346f683190c1fe9dbab3ac80b71306f04129e MD5sum: dd6a905d7f79a64a81d4786a01dd83ce Description: GNU implementation of the IPMI protocol FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This metapackage depends on all separate modules of freeipmi. Package: freeipmi-common Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 344 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest Suggests: freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-common_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 189226 SHA256: 27ba1d28e21950b0d8fa8d3cfecca63d1e155f5e1db890cf8a014bcbfb0476b4 SHA1: fb166396c5fd2c410da8e0f30d2597fe8168a2f6 MD5sum: c1f4cccbf6d1491bb40294efc77c4585 Description: GNU implementation of the IPMI protocol - common files FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package provides configuration used by the rest of FreeIPMI framework and generic documentation to orient the user. Package: fsl-melview Source: melview Version: 1.0.1+git9-ge661e05~dfsg.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73 Depends: neurodebian-popularity-contest, python-matplotlib, python-nibabel, python-numpy, python-pkg-resources, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pyface, python-traits, python-traitsui, python-enthoughtbase Suggests: fsl-core Homepage: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Melview Priority: optional Section: science Filename: pool/main/m/melview/fsl-melview_1.0.1+git9-ge661e05~dfsg.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 14022 SHA256: ad6164baa3d1a28679a2989bf5c6a3ad27656b911e6f14ecfd89476c10f8d47b SHA1: cf01acdc463145600df3d1f67b668bbf5fae5d35 MD5sum: bfc9caf661c88cbd560820403b81889a Description: viewer for the output of FSL's MELODIC This viewer can be used to facilitate manual inspection and classification of ICA components computed by MELODIC. As such, it is suited to generate hand-curated labels for FSL's ICA-based denoising tool FIX. Python-Version: 2.7 Package: fsleyes Version: 0.15.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239775 Depends: neurodebian-popularity-contest, python-fsl, python-fsleyes-props, python-fsleyes-widgets, python-wxgtk3.0, python-six (>= 1.0~), python-jinja2, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd17.10+1_all.deb Size: 26742746 SHA256: 765684ff9d89fac34402d6f7349e1afd6ce82314053bf0a93efa2a4866ea27e3 SHA1: 244f0b8d02b108615b67ab642028969f3b1f7c7c MD5sum: 1c43ff2cd846fef45aada16c865f7115 Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: gcalcli Version: 3.4.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1766 Depends: neurodebian-popularity-contest, python, python-dateutil, python-gflags, python-googleapi Recommends: gxmessage, python-parsedatetime, python-simplejson, python-vobject Homepage: https://github.com/insanum/gcalcli Priority: extra Section: utils Filename: pool/main/g/gcalcli/gcalcli_3.4.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 1670064 SHA256: c3b08d675f2d77ec0bdd2dc270db9bb9e8e59bf91e1d77151e75bd20dc50669c SHA1: 58a7f873af8828ed554576e8805b8d6b698b627a MD5sum: f1fcb2129901888680aa162e7870a6bc Description: Google Calendar Command Line Interface gcalcli is a Python application that allows you to access your Google Calendar from a command line. It's easy to get your agenda, search for events, and quickly add new events. Additionally gcalcli can be used as a reminder service to execute any application you want. 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-hub Version: 0.10.3-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: neurodebian-popularity-contest, python, git (>= 1:1.7.7) Homepage: https://github.com/sociomantic/git-hub Priority: optional Section: vcs Filename: pool/main/g/git-hub/git-hub_0.10.3-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 34202 SHA256: 19306b88c65f92d7b69562617b1c37787479052beb81436092bf5eb641a04a45 SHA1: be58f7f50533fed5a64e08f9e3ba6c68f8d4f404 MD5sum: b7c840542e5f00946af2ef3e7d36c860 Description: Git command line interface to GitHub git hub is a simple command line interface to GitHub, enabling most useful GitHub tasks (like creating and listing pull request or issues) to be accessed directly through the Git command line. . Although probably the most outstanding feature (and the one that motivated the creation of this tool) is the pull rebase command, which is the rebasing version of the GitHub Merge (TM) button. This enables an easy workflow that doesn't involve thousands of merges which makes the repository history unreadable. . Another unique feature is the ability to transform an issue into a pull request by attaching commits to it (this is something offered by the GitHub API but not by the web interface). 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: heudiconv Version: 0.4-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 170 Depends: neurodebian-popularity-contest, python, python-dcmstack, python-dicom, python-nibabel, python-numpy, python-nipype Recommends: mricron, dcm2niix, python-pytest, python-datalad Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.4-1~nd17.10+1_all.deb Size: 41272 SHA256: cd8fc5c230ee0ecce6483f0778db47754b2465b545df353884deadbf711d7e70 SHA1: c61e70a52b6339997418e466a2460fcce5ef5ab1 MD5sum: cacdb6569844a635c11067d94ef596f6 Description: DICOM converter with support for structure heuristics This is a flexible dicom converter for organizing brain imaging data into structured directory layouts. It allows for flexible directory layouts and naming schemes through customizable heuristics implementations. It only converts the necessary dicoms, not everything in a directory. It tracks the provenance of the conversion from dicom to nifti in w3c prov format. Package: impressive Version: 0.11.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 451 Depends: neurodebian-popularity-contest, python, python-pygame, python-pil | python-imaging, mupdf-tools (>= 1.5) | xpoppler-utils Recommends: mplayer, pdftk, perl, xdg-utils Suggests: ghostscript, latex-beamer Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.11.2-1~nd17.10+1_all.deb Size: 184192 SHA256: 1e9575a4c079a59ea1d045ca85fa6a5a9c63b945a31843253231d2722acab1ea SHA1: 5957812189dc9dcff0a5579540d622803baad80d MD5sum: 154cda2d0ca8f0933c4239c0eebc8077 Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization * Support of movies presentation * Active hyperlinks within PDFs Package: libghc-network-protocol-xmpp-doc Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90+nd17.04+1+nd17.10+1 Architecture: all Maintainer: Debian Haskell Group Installed-Size: 511 Depends: haddock-interface-28 Recommends: ghc-doc, libghc-monads-tf-doc, libghc-network-doc, libghc-text-doc, libghc-xml-types-doc, libjs-mathjax Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: doc Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-doc_0.4.8-2+ndb1~nd90+nd17.04+1+nd17.10+1_all.deb Size: 48156 SHA256: 12b6aa5bef952f35cdc240f15b06c882e22e9663b621847d1859ed017e1fd106 SHA1: c2908a78ba2bc421463f95554c025a9a512f5388 MD5sum: 96ae159f0480a46f16d940c0c29a49c7 Description: Haskell XMPP (Jabber) library; documentation; documentation This library defines an XMPP data type and functions. . This package provides the documentation for a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Package: matlab-support-dev Source: matlab-support Version: 0.0.21~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 17 Depends: neurodebian-popularity-contest Conflicts: matlab-dev (<= 0.0.14~) Replaces: matlab-dev (<= 0.0.14~) Priority: optional Section: devel Filename: pool/main/m/matlab-support/matlab-support-dev_0.0.21~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 7620 SHA256: d57cbd9f178091b284733bb7fd70e91022f330492dbc4820332fc04a7bd4c1b0 SHA1: 9e7f8619d6aa8cd2f4aa98f049882f8ad46e89a9 MD5sum: 9572913f51808edad23a59e2f95be80f Description: helpers for packages building MATLAB toolboxes This package provides a Makefile snippet (analogous to the one used for Octave) that configures the locations for architecture independent M-files, binary MEX-extensions, and their corresponding sources. This package can be used as a build-dependency by other packages shipping MATLAB toolboxes. Package: mridefacer Version: 0.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 647 Depends: neurodebian-popularity-contest, num-utils, fsl-5.0-core | fsl-core Homepage: https://github.com/hanke/mridefacer Priority: optional Section: science Filename: pool/main/m/mridefacer/mridefacer_0.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 637336 SHA256: d8bdd2b35459623f603ef829b04e57f0980e90ee9c50f6ab540a8dfd5d68761d SHA1: 9f5741b399ae7449cb78cfc2692d12d91d5cc8d4 MD5sum: 6b55c1a75ad79698c5c545403b68b838 Description: de-identification of MRI data This tool creates a de-face mask for volumetric images by aligning a template mask to the input. Such a mask can be used to remove image data from the vicinity of the facial surface, the auricles, and teeth in order to prevent a possible identification of a person based on these features. mrideface can process individual or series of images. In the latter case, the computed transformation between template image and input image will be updated incrementally for the next image in the series. This feature is most suitable for processing images that have been recorded in temporal succession. Package: neurodebian Version: 0.37.5~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 91 Depends: python, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.37.5~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 34670 SHA256: bcbf2d6e2674f3cbe5daf9492dcbe53feb973397dc9fe20f593792ccf460c691 SHA1: 0af04dc44e0b064293dbc23ac2af49bd90f20807 MD5sum: 9143ae0271b8adafbfd20db8c491489e Description: neuroscience-oriented distribution - repository configuration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.37.5~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: gnupg2 | gnupg, dirmngr Breaks: neurodebian-keyring (<< 0.34~) Replaces: neurodebian-keyring (<< 0.34~) Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-archive-keyring_0.37.5~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 10474 SHA256: 3c4541cecec5fd4fab5962e2e7bc0c8d5ff6102a3907c30549efd6607785ccf1 SHA1: c2df298463076d146a942434c24a6474f5c8b8d2 MD5sum: 036b9e4e47db7db822898d0b1143cdcc Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-desktop Source: neurodebian Version: 0.37.5~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 189 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Recommends: reportbug-ng Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.37.5~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 116450 SHA256: 55f37852134bf10fe48058ac83b07231d59287c457939a1e8c068ac66001fc60 SHA1: 6617a58164edcade7f16cd64f087f15830b7f4c0 MD5sum: c9f88d72adc4c03575f881145d6925f3 Description: neuroscience-oriented distribution - desktop integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.37.5~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 Depends: devscripts, neurodebian-archive-keyring Recommends: python, zerofree, moreutils, time, ubuntu-keyring, debian-archive-keyring, apt-utils, cowbuilder Suggests: virtualbox-ose, virtualbox-ose-fuse Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.37.5~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 32890 SHA256: 6e4dbd0c73c7a877e0771f2b72c66161cbcc84cd4581156917cfc0228ad6de14 SHA1: 06b94d28be7730563a6822042411c7e94d2eac48 MD5sum: daa11bb9c8cde572aa0a4e24d66ec99f Description: neuroscience-oriented distribution - development tools The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-guest-additions Source: neurodebian Version: 0.37.5~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: virtualbox-guest-utils, virtualbox-guest-x11, virtualbox-guest-dkms, sudo, neurodebian-desktop, lightdm | x-display-manager, zenity Recommends: chromium, update-notifier Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-guest-additions_0.37.5~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 17046 SHA256: e07adcb25c44b1b15a1b88f0c46228d1ba4f13e99112cafd401bfda3670555b2 SHA1: 36cd5d8339b992bf0a2e122918316ab50d4098b4 MD5sum: ad1f0773b08f720c423282eea710d337 Description: NeuroDebian guest additions (DO NOT INSTALL OUTSIDE VIRTUALBOX) This package configures a Debian installation as a guest operating system in a VirtualBox-based virtual machine for NeuroDebian. . DO NOT install this package unless you know what you are doing! For example, installation of this package relaxes several security mechanisms. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.37.5~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.37.5~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 12492 SHA256: dacf4b32a60d49772f6b3432964644ad8b4c7793fdb772e85a6728a547c21fdb SHA1: 71c025a5314502769530bb9f65f3353cdb2677c6 MD5sum: 4fd37257b85b07aa6bb36e293685c685 Description: neuroscience-oriented distribution - popcon integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (either Debian or Ubuntu) popcon server. . Participating in popcon is important for the following reasons: * Popular packages receive more attention from developers; bugs are fixed faster and updates are provided quicker. * It ensures that support is not dropped for a previous release of Debian or Ubuntu while there are active users. * User statistics may be useful for upstream research software developers seeking funding for continued development. . This requires that popcon is activated for the underlying distribution (Debian or Ubuntu), which can be achieved by running "dpkg-reconfigure popularity-contest" as root. Package: nuitka Version: 0.5.28.2+ds-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3550 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_0.5.28.2+ds-1~nd17.10+1_all.deb Size: 705856 SHA256: a78aa369e711b4634ae5746933432c7f63b3655742a397c5f31b570d7e991770 SHA1: 717a76e7416f2b7b9e7c66d2f3147fd129d38944 MD5sum: 01e7f86e1e24be25193a6ae293bac1a6 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: openstack-pkg-tools Version: 52~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 191 Depends: neurodebian-popularity-contest, autopkgtest, libxml-xpath-perl, madison-lite, pristine-tar Priority: extra Section: devel Filename: pool/main/o/openstack-pkg-tools/openstack-pkg-tools_52~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 52348 SHA256: 3815dd751e154d736adedfbf307ede4a0a3325cfa540bd4142d461e4e2766165 SHA1: aabd17f1b65c9bd67d774f4df6e95f74829d2fb5 MD5sum: 16a40ac4833d705b871cefe7714b6f0e Description: Tools and scripts for building Openstack packages in Debian This package contains some useful shell scripts and helpers for building the Openstack packages in Debian, including: . * shared code for maintainer scripts (.config, .postinst, ...). * init script templates to automatically generate init scripts for sysv-rc, systemd and upstart. * tools to build backports using sbuild and/or Jenkins based on gbp workflow. * utility to maintain git packaging (to be included in a debian/rules). . Even if this package is maintained in order to build OpenStack packages, it is of a general purpose, and it can be used for building any package. Package: prov-tools Source: python-prov Version: 1.5.0-1+nd1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-prov (= 1.5.0-1+nd1~nd17.04+1+nd17.10+1) Homepage: https://github.com/trungdong/prov Priority: optional Section: utils Filename: pool/main/p/python-prov/prov-tools_1.5.0-1+nd1~nd17.04+1+nd17.10+1_all.deb Size: 7002 SHA256: 02d0a05975e49d9abfab64fab2f8bab779260b7d476c5483cbd70dcbe283f3ff SHA1: 000452dac8013cccc2277aa430272d828565f2a7 MD5sum: 5585e937d2c356f74ebfc8365968e187 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~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15994 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), 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~nd17.04+1+nd17.10+1_all.deb Size: 6666450 SHA256: 7dacd1258aa63a1525d077150459f49d11f742a0a4b19cc5fe48887b10662c95 SHA1: 9d4ba873944abc25901432f4feebec8aaf8e4518 MD5sum: 5e637af6da5e0fef1d19a65b0ae7a130 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: 3.0.14.20171008.dfsg1-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254246 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_3.0.14.20171008.dfsg1-1~nd17.10+1_all.deb Size: 24216122 SHA256: 445b108aea22e9fa731d990655932063f66cbced4426446f507553171c666e8a SHA1: 7bc8233e38f34434af08ca0e8bfdbc106bb651f0 MD5sum: 6531153723692483a7e3ec72291a80b5 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-hypothesis Source: python-hypothesis Version: 3.6.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 386 Depends: neurodebian-popularity-contest, pypy-enum34, pypy Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/pypy-hypothesis_3.6.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 70300 SHA256: 7e2ac7b46b8b6eb523c5ba1416aaf379c04fe4729125921fa863b9b6a7d9555d SHA1: afc091807ff42164ac35d27a6d7afa76378679bd MD5sum: 05db1066fe13540d7b6c547c8a8f19f2 Description: advanced Quickcheck style testing library for PyPy Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the PyPy module. Package: pypy-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, pypy Suggests: pypy-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/pypy-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 112112 SHA256: 8af4bd57f1a0af531c94adfdc417c2876d22c809a4d92e6974bf02a2768a86af SHA1: 43c7539aab398b32b42d269f752de50b026e3540 MD5sum: 691d2ac15b8c034d5eed2f6162f63d25 Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: pypy-py Source: python-py Version: 1.4.31-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, pypy, pypy-pkg-resources Suggests: subversion, pypy-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/pypy-py_1.4.31-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 82352 SHA256: d758a42f68764a0551859aa97c9551cd60f05e3ab7006ebe91e3b9ee2bc0e6bb SHA1: 31702443737b1194f49f39c3309afc8de25d6059 MD5sum: c1c8fe4e912459ce52c8d75b88bb6d9f Description: Advanced Python development support library (PyPy) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the PyPy 2 modules. Package: pypy-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, pypy-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1), pypy Suggests: python-setuptools-doc Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/pypy-setuptools_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 122036 SHA256: 0bb4ec42c2f431cc2889f9a6b5c05139d48b76aea3f4635f2919ba86fb93d904 SHA1: 947d178f833b30244eeae45534e2fcc0859a3a89 MD5sum: 31306a8714b8ffee239eb7de3ef563c4 Description: PyPy Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: pypy-six Source: six Version: 1.10.0-3~bpo8+1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 51 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~nd17.04+1+nd17.10+1_all.deb Size: 11786 SHA256: fb12ee026d59351b76c263f6c2eb56d4a0859e3b0ae6851d63046f359160065d SHA1: f5611275acf71514e032a806ced4773a69253d46 MD5sum: 24b2a3b76f396eae3565167c85a204cc 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-argcomplete Version: 1.0.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 111 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python-argcomplete_1.0.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 24598 SHA256: d4946e468005be3477c75d519269a183827fef5fc4ffb8a761f0b70e9a85cbae SHA1: 9aa6b2e744f5a4a9c1667beec20e0132b3842f09 MD5sum: 8ca228ed7779621454a1f08c2d9afb50 Description: bash tab completion for argparse Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 2.x. Package: python-boto3 Version: 1.2.2-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 720 Depends: neurodebian-popularity-contest, python-botocore, python-concurrent.futures, python-jmespath, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-requests, python-six Homepage: https://github.com/boto/boto3 Priority: optional Section: python Filename: pool/main/p/python-boto3/python-boto3_1.2.2-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 58382 SHA256: 3261e5db83424f7bd805b1158397c4a6cb9cda80ab1b7848e432731d63abf838 SHA1: 82f45f1b7a79bb3817ab6d44a91433afc34c1664 MD5sum: f0eea30fbd8b34a6557dc0dec2b24a30 Description: Python interface to Amazon's Web Services - Python 2.x Boto is the Amazon Web Services interface for Python. It allows developers to write software that makes use of Amazon services like S3 and EC2. Boto provides an easy to use, object-oriented API as well as low-level direct service access. Package: python-brian Source: brian Version: 1.4.3-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2456 Depends: neurodebian-popularity-contest, python-matplotlib (>= 0.90.1), python-numpy (>= 1.3.0), python-scipy (>= 0.7.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-brian-lib (>= 1.4.3-1~nd90+1+nd17.04+1+nd17.10+1) Recommends: python-sympy Suggests: python-brian-doc, python-nose, python-cherrypy Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian_1.4.3-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 401076 SHA256: 241ed4fb0ad8b11b00c00f83bf27bdfbe85f8c95c2de7d70ff2c6fbca9e86117 SHA1: e38950db297dce883bceafcfc706f0d1d7435547 MD5sum: daf7c742909b6e728e06b36151f3cdc5 Description: simulator for spiking neural networks Brian is a clock-driven simulator for spiking neural networks. It is designed with an emphasis on flexibility and extensibility, for rapid development and refinement of neural models. Neuron models are specified by sets of user-specified differential equations, threshold conditions and reset conditions (given as strings). The focus is primarily on networks of single compartment neuron models (e.g. leaky integrate-and-fire or Hodgkin-Huxley type neurons). Features include: - a system for specifying quantities with physical dimensions - exact numerical integration for linear differential equations - Euler, Runge-Kutta and exponential Euler integration for nonlinear differential equations - synaptic connections with delays - short-term and long-term plasticity (spike-timing dependent plasticity) - a library of standard model components, including integrate-and-fire equations, synapses and ionic currents - a toolbox for automatically fitting spiking neuron models to electrophysiological recordings Package: python-brian-doc Source: brian Version: 1.4.3-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7371 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-brian Homepage: http://www.briansimulator.org/ Priority: extra Section: doc Filename: pool/main/b/brian/python-brian-doc_1.4.3-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 1985658 SHA256: 04e4a1093e4bf3e6504443a95d6d4a7384d7d7d10257531769ae5a3a67e22758 SHA1: e7a63bb5c0d979dd24b6894162debd04234ee8ae MD5sum: 9797aa62a10eda1fc11d1d33e7e11b48 Description: simulator for spiking neural networks - documentation Brian is a clock-driven simulator for spiking neural networks. . This package provides user's manual (in HTML format), examples and demos. Package: python-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 768 Depends: neurodebian-popularity-contest, python-lxml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python-citeproc_0.3.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 80418 SHA256: f6cf9a81c9a2614108b340e7554d16ebecbd6ca675036dd6a46d16b65a451d01 SHA1: 5ae6284e03892191dab9abd8f467fff28b996bcc MD5sum: 859c9136ea3518da28dd6baab904b34c Description: Citation Style Language (CSL) processor for Python Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python modules. Package: python-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python-contextlib2_0.4.0-3~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 8758 SHA256: 5af078ce0636e256a7385fdb2ee0c39933dcc99dccdd274d1d679e696648d627 SHA1: d660baaf3fbbaeb05adbb7e6f74d90c4a1b18296 MD5sum: 48cec6483b19a26c7770487f4d46a2a7 Description: Backport and enhancements for the contextlib module - Python 2.7 contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. . It also serves as a real world proving ground for possible future enhancements to the standard library version. . This package contains the Python 2.7 module. Package: python-dcmstack Source: dcmstack Version: 0.6.2+git36-gc12d27d-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 495 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: python Filename: pool/main/d/dcmstack/python-dcmstack_0.6.2+git36-gc12d27d-1~nd17.10+1_all.deb Size: 75162 SHA256: 079278ee452b3b3a1ccc5dd8bc5ed816c79f9b4418e38fc182e1b8019dc49b7d SHA1: 8c2ee02e3595df5108d867c9629576c32ff99908 MD5sum: 72e47528130d077ed47d1e4725ebcb57 Description: DICOM to NIfTI conversion DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python package, and command line tools (dcmstack, and nitool), as well as the documentation in HTML format. Package: python-dipy Source: dipy Version: 0.13.0-2~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6960 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-h5py, python-dipy-lib (>= 0.13.0-2~nd17.10+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel Suggests: ipython Provides: python2.7-dipy Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.13.0-2~nd17.10+1_all.deb Size: 3021818 SHA256: 4a71783c3e36705b2a7a454d130459c55f3f71bec129d0fda6ca5214a7970e20 SHA1: fbf569dd60cb3c5debc950d7b009c1d524d55431 MD5sum: 832cb696a1dfb2a0a8997dff1951741d 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: 0.13.0-2~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14557 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_0.13.0-2~nd17.10+1_all.deb Size: 10773728 SHA256: 5fd007dad5a9dcd06d3f1e843cb3d43d858e848819e3e33d31216e28e7044574 SHA1: 3626c2271da555fde39ea70d0e7678c28a3fea93 MD5sum: 591dde5cd53207ea5e3a78a0ce629abf 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-docker Version: 1.7.2-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, python-requests, python-six (>= 1.4.0), python-websocket, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/dotcloud/docker-py/ Priority: optional Section: python Filename: pool/main/p/python-docker/python-docker_1.7.2-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 27178 SHA256: 87bea913028e335c280a3eecd52f5f8b856289679efec130b6f0768448d17d51 SHA1: bf3dbcbda20096206c15f30228c3e05266d7449e MD5sum: 62aa794831b0dbb8e79fe74e5d48712b Description: Python wrapper to access docker.io's control socket This package contains oodles of routines that aid in controling docker.io over it's socket control, the same way the docker.io client controls the daemon. . This package provides Python 2 module bindings only. Package: python-dockerpty Source: dockerpty Version: 0.4.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-docker (>= 0.7.1) Homepage: https://github.com/d11wtq/dockerpty Priority: optional Section: python Filename: pool/main/d/dockerpty/python-dockerpty_0.4.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 10990 SHA256: 7c71bd6245d334e9a35d73ae6c2675bda827b7afd4f21b91730751283b4009f1 SHA1: 704cf154cefae434cfa6b2f146e4572e46c49a19 MD5sum: 6af374f07e8e5e009a1f90296d1294ec Description: Pseudo-tty handler for docker Python client (Python 2.x) Provides the functionality needed to operate the pseudo-tty (PTY) allocated to a docker container, using the Python client. . This package provides Python 2.x version of dockerpty. Package: python-fsl Source: fslpy Version: 1.2.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 404 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), python-indexed-gzip, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-wxgtk3.0 Conflicts: fsl-melview (<= 1.0.1+git9-ge661e05~dfsg.1-1) Provides: python2.7-fsl Priority: optional Section: python Filename: pool/main/f/fslpy/python-fsl_1.2.2-1~nd17.10+1_all.deb Size: 84192 SHA256: d902cbeaef275d8885ce0db4e8f5c139248427e3b2f399b54d31215ffea7840f SHA1: 623d32ad51ea038d9e4b267348f3cf53b64a09fc MD5sum: f6ca3a3d586ba7124eaba3eb15983adf Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-fsleyes-props Source: fsleyes-props Version: 1.2.1-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 404 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-props (<= 1.0~) Replaces: python-props Provides: python-props, python2.7-fsleyes-props Priority: optional Section: python Filename: pool/main/f/fsleyes-props/python-fsleyes-props_1.2.1-1~nd17.10+1_all.deb Size: 75166 SHA256: 739c15b4fba48091743e256626bb6cdaa079f7bf25746cb4eb8e99731fe14d84 SHA1: 7e5d0375546a9241c3545f94cb197fd706072cb0 MD5sum: 1821218ef05fa3cd92c9108231cf1174 Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-fsleyes-widgets Source: fsleyes-widgets Version: 0.2.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 374 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-fsleyes-widgets Priority: optional Section: python Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.2.0-1~nd17.10+1_all.deb Size: 68858 SHA256: a322ff4fd43103d7e3bb00cba8c684f0b8a7761b170eecd4be41990f70f4f423 SHA1: d690170a6722414c44009dbbd820520e5a1fb8f1 MD5sum: 75f4f44603d749b0822adf3fd8922ff2 Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-funcsigs Version: 0.4-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-funcsigs-doc Homepage: http://funcsigs.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-funcsigs/python-funcsigs_0.4-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 12860 SHA256: 11576283dbd9b18d305c99c2487e461ba247643d13d57da719a709905fac3f35 SHA1: 817bb5b48ab7fab20e17813ef3c89471c55865a4 MD5sum: 43f4c6e6d4efdabb950d9e73a59f27eb Description: function signatures from PEP362 - Python 2.7 funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the Python 2.7 module. Package: python-funcsigs-doc Source: python-funcsigs Version: 0.4-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://funcsigs.readthedocs.org Priority: optional Section: doc Filename: pool/main/p/python-funcsigs/python-funcsigs-doc_0.4-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 20996 SHA256: daa3485f7be5b35d66906e0f6e6333c79c6440e43fb25ef0269c86ebb2966018 SHA1: c665d29e228353601260388e81890fec65122862 MD5sum: 6b3ab216f0b403fcc91aef70217074a5 Description: function signatures from PEP362 - doc funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the documentation. Package: python-future Version: 0.15.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1700 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python-future_0.15.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 335170 SHA256: 144a9d0b2403e291692254803945ace44554e80dfb7ba3576bf8bdaeb412c95a SHA1: 4937e054ac00dfcc08d9bf7a12a04d9b08dcffc8 MD5sum: da3e4eacd65f4a69d81d0d0a6168d34a Description: single-source support for Python 3 and 2 - Python 2.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 2.x module. Package: python-future-doc Source: python-future Version: 0.15.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1915 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://python-future.org Priority: optional Section: doc Filename: pool/main/p/python-future/python-future-doc_0.15.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 308272 SHA256: e06cc5dfa10697d73b49f11d05462adfa18b0c521167933fade1d65dc7bbe385 SHA1: 3bae6c30c6be13bbb477507a2e7965bc640fa60f MD5sum: 319a9c1cb9b3a8f7392d3cb2f06bdef4 Description: Clean single-source support for Python 3 and 2 - doc Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the documentation. Package: python-git Version: 2.1.8-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1653 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_2.1.8-1~nd17.10+1_all.deb Size: 303452 SHA256: 2c863268682e95afe064f15465756f24d5a09dfa7c64ef10e48558f54e6ce14e SHA1: 16d5388ae99b6049afef58f2de26fa9cf70d8689 MD5sum: df4c7c827e528d9e48888c4fd4bd5845 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: 2.1.8-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 967 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_2.1.8-1~nd17.10+1_all.deb Size: 125606 SHA256: 59d1b1fd55c18ae99a5e0524dbd3913ae961dccd14631db9eef7a06724b26ba5 SHA1: b88523241b7f2c673e33e254a034ff468c234bc0 MD5sum: 2589e14041dca8b12cf9c5462a9d762b 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-github Source: pygithub Version: 1.26.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 633 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-pygithub Replaces: python-pygithub Provides: python-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python-github_1.26.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 44860 SHA256: 20a30351a3784d00ce4ec70f8addec0c3859e54cf2dfcdeed9f95a84316b7671 SHA1: f2f7de89038878fee0c6580a14dfb0cb32ee680a MD5sum: ee2da45393a502adcfc5d08e41b2e5f1 Description: Access to full Github API v3 from Python2 This is a Python2 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python-humanize Version: 0.5.1-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python-humanize_0.5.1-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 12974 SHA256: 7684cf4c22be8678311d746b7ec886be6ae4f190860bdb845f4755dd4a54dd04 SHA1: 8be42893010167374ad3b778c5e74196f4e58621 MD5sum: 0b1c9b037b21578a48bce37949ffa50c Description: Python Humanize library (Python 2) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 2 version of the package. Package: python-hypothesis Version: 3.6.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 386 Depends: neurodebian-popularity-contest, python-enum34, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python-hypothesis_3.6.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 70214 SHA256: ca18b69bdd846aed51ce56397c94ac1558aada8b07650733463cd6b4b7369576 SHA1: ef41e12a7d169a1dcbc473bd6988991c9181de99 MD5sum: 591e9e49c2a02c970a50785891ab58fb Description: advanced Quickcheck style testing library for Python 2 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 2 module. Package: python-hypothesis-doc Source: python-hypothesis Version: 3.6.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1134 Depends: neurodebian-popularity-contest Homepage: https://github.com/DRMacIver/hypothesis Priority: extra Section: doc Filename: pool/main/p/python-hypothesis/python-hypothesis-doc_3.6.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 136768 SHA256: 549647eaf136f2be00f2298553db3007dff36f6a286631559646d792234ef107 SHA1: 0dd4bb2ff33e39774332b08352435b6f85bbbe91 MD5sum: 4a5f53c84ec6908c146c2dac4875dad0 Description: advanced Quickcheck style testing library (documentation) Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the documentation for Hypothesis. Package: python-joblib Source: joblib Version: 0.11-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 505 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Recommends: python-numpy, python-pytest, python-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.11-1~nd17.10+1_all.deb Size: 120334 SHA256: 3c491f37a0669447c601b2cf650bef9c5df24f0edb529da65aef7b7baa079f19 SHA1: 91b015400793c1feacc3e7cd5446c9b1c10318d0 MD5sum: b7aaef7155c42bba84d77ecbec1b31e7 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 2 version. Package: python-jsmin Version: 2.2.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/tikitu/jsmin Priority: optional Section: python Filename: pool/main/p/python-jsmin/python-jsmin_2.2.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 21624 SHA256: 2f50e492460f259d8e4731f8caabe4af8a60b1fdd6f56ca32dab52dad06f0252 SHA1: 74d259b5fa5d31d86f047e7bfabbe595c21aab3f MD5sum: 3a922bec194449252ba47c6b22a86d97 Description: JavaScript minifier written in Python - Python 2.x Python-jsmin is a JavaScript minifier, it is written in pure Python and actively maintained. . This package provides the Python 2.x module. Package: python-mne Version: 0.15.2+dfsg-2~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11266 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-sklearn, python-matplotlib, python-joblib, xvfb, xauth, libgl1-mesa-dri, help2man, libjs-jquery, libjs-jquery-ui, libjs-d3 Recommends: python-nose, python-pytest, python-nibabel, mayavi2 Suggests: python-dap, python-pycuda, ipython Provides: python2.7-mne Homepage: http://martinos.org/mne Priority: optional Section: python Filename: pool/main/p/python-mne/python-mne_0.15.2+dfsg-2~nd17.10+1_all.deb Size: 4959908 SHA256: 09d4db5624326e218f8cd6f749d153dd7dbd2c093df0fd93dc3c5e838cd84623 SHA1: 91ddeec690c848a7aa0c88f77f54db09f43a2ff5 MD5sum: 0440f76c31582a5a687b0007d9441f54 Description: Python modules for MEG and EEG data analysis This package is designed for sensor- and source-space analysis of MEG and EEG data, including frequency-domain and time-frequency analyses and non-parametric statistics. Package: python-mvpa2 Source: pymvpa2 Version: 2.6.3-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8572 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.3-1~nd17.10+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_2.6.3-1~nd17.10+1_all.deb Size: 5101944 SHA256: 124cc91a7abf3dc3678075246f136a212f21f3c8b0495dfa43fda281851371c6 SHA1: 1b196455fe6e0aea205b143f97e21bdd78b754ba MD5sum: c9768d245529bac157872ce1a5fe2036 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: 2.6.3-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36701 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_2.6.3-1~nd17.10+1_all.deb Size: 4829390 SHA256: 6e0f8d6510f2492fdb55690de2cc52719d8567198d9d0261ad583395be6792a1 SHA1: 2785fb45ed2e2d2ea933894fbfc450c089eb944e MD5sum: a4e20ba97a51c37357458f1e886d46a6 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: 2.2.1-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64681 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), 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_2.2.1-1~nd17.10+1_all.deb Size: 2201384 SHA256: 61146ffd19184c084970719a7589a26cadbb942b1153913692dd08e45669db1a SHA1: a197a5b0ab6275ac4ddc3c06123cf14580335ee9 MD5sum: d4bfe80bb9da03ce1aa2d039ee919f71 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: 2.2.1-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8974 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_2.2.1-1~nd17.10+1_all.deb Size: 1626226 SHA256: 528bb7d04e79c0426631d5b460d8231a56e99ddae9aef11a2c53bd5dd0238db1 SHA1: c459d73837bffbedc37203e36c29c01c1f10aa6e MD5sum: 83c8fdbea1814cd176e6d0e71d54914b 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: 0.4.1-2~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3545 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 (>= 0.4.1-2~nd17.10+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_0.4.1-2~nd17.10+1_all.deb Size: 780046 SHA256: df2f7a12c2ed634aac53c3b3cdebaa1d2c11d4a94c10490ed32e010a670cf535 SHA1: d81f170652b60fb27488d7e2681c912b2106e221 MD5sum: e6a02676065787f7e180df9af0596739 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: 0.4.1-2~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9686 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_0.4.1-2~nd17.10+1_all.deb Size: 1841076 SHA256: 4165f4007209fdfc3503dd7f950642de96061955ccc53902d24fe3aece0c778a SHA1: 2edbb64de5654ae8a9ed1c8a38ef45a154ff0f27 MD5sum: 39f766ff02c1c8ec03e0b9bd776f256e 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-nipype Source: nipype Version: 0.14.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10609 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-configparser, python-dateutil, python-funcsigs, python-future, python-mock, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-pydot, python-pydotplus, python-pytest, python-scipy, python-simplejson, python-traits, python:any (>= 2.6.6-7~), python-traits (>= 4.0) | python-traits4, python-psutil Recommends: ipython, graphviz, python-xvfbwrapper, mayavi2, python-cfflib Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_0.14.0-1~nd17.10+1_all.deb Size: 1859134 SHA256: 0a168185d6cd4def1f5ed62ad117fa1db81fa5f24b6aa260d49388c6f48365dd SHA1: e6df7ba74b1a1bf68301b15036472b6853348750 MD5sum: 9ab9e7a6f1c67fbefe7155313d4b012c Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 0.14.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 43508 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_0.14.0-1~nd17.10+1_all.deb Size: 20250588 SHA256: a4938325284911824eca598167c9b227e76d150b380556ffb7442d24d96cc10c SHA1: 4d505141a84213707c958c5270815f7107fd3ea5 MD5sum: 81075accc4cde52d51d6d98d60fc12a4 Description: Neuroimaging data analysis pipelines in Python -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-nitime Source: nitime Version: 0.7-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9377 Depends: neurodebian-popularity-contest, python-matplotlib, python-numpy, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-nose, python-nibabel, python-networkx Homepage: http://nipy.org/nitime Priority: extra Section: python Filename: pool/main/n/nitime/python-nitime_0.7-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 2543020 SHA256: 1405ea130dcbf88090fcc0dc0f98d9d1497ff02f7ba0c141d9d81d75e6a593dc SHA1: addc0183ecef2d62f85f8213b2838acc4561aa0c MD5sum: fdad43b77f7e2640304b57ee2d508d11 Description: timeseries analysis for neuroscience data (nitime) Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. Package: python-nitime-doc Source: nitime Version: 0.7-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6923 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nitime Homepage: http://nipy.org/nitime Priority: extra Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.7-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 4838026 SHA256: a9956d842255425736c546acfeb98af182553dec83550f46b69384ac31768e34 SHA1: 53b68041ec149b054495caf3170d167d77bfb717 MD5sum: 83b5919f2d8af2045f4d8f9b32111bbe Description: timeseries analysis for neuroscience data (nitime) -- documentation Nitime is a Python module for time-series analysis of data from neuroscience experiments. . This package provides the documentation in HTML format. Package: python-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-coverage (>= 3.4), python-nose, python:any (>= 2.6.6-7~) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python-nosexcover_1.0.10-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 5250 SHA256: dd2c112e6507583425423172cc52f2e90ea43fc89d7aa76a70659d046e7803dd SHA1: ae6143f1468b67b7a0b0ea52acf3228b94ed5b92 MD5sum: 574bb96884630bb9344521205ea1c6f2 Description: Add Cobertura-style XML coverage report to nose A companion to the built-in nose.plugins.cover, this plugin will write out an XML coverage report to a file named coverage.xml. . It will honor all the options you pass to the Nose coverage plugin, especially --cover-package. Package: python-openpyxl Source: openpyxl Version: 2.3.0-3~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1325 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-jdcal, python:any (>= 2.6.6-7~), python-lxml (>= 3.3.4) | python-et-xmlfile Recommends: python-pytest, python-pil, python-imaging Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_2.3.0-3~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 199210 SHA256: 8bc02c95b63b42f743f71a6d365fc01c65dc68fd7b84948ccefcff018e7fefe1 SHA1: 0606710adf63a65c6c25cba5db41d0f3da56ce4d MD5sum: 9abde88d858d33eaae3dc15562114b0d Description: module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-packaging Version: 16.2-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, python-pyparsing, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python-packaging_16.2-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 17122 SHA256: 2b70b02f483b9ac7455201be114896754ef3e9a3665d8a0109ebe83d512d616e SHA1: 2381a9de2fbb0339cc96baf6445a4db95162b420 MD5sum: 853f6e251d75b94e4fb7e1c43670f458 Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python-pandas Source: pandas Version: 0.20.3-2~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25672 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-dateutil, python-numpy (>= 1:1.7~), python-tz, python:any (>= 2.6.6-7~), python-pandas-lib (>= 0.20.3-2~nd17.04+1+nd17.10+1), python-pkg-resources, python-six Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib, python-lxml Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.20.3-2~nd17.04+1+nd17.10+1_all.deb Size: 2624524 SHA256: 9e224a566b7336914db3e201b87f3fede72200a4da44bd18ab4dc2de95dd3e52 SHA1: 7b7371cf8373234007923736761036bd72a9ba18 MD5sum: 2064392cd88457d8d97bdd67735fab26 Description: data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. Package: python-pandas-doc Source: pandas Version: 0.20.3-2~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 55283 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: doc Filename: pool/main/p/pandas/python-pandas-doc_0.20.3-2~nd17.04+1+nd17.10+1_all.deb Size: 5496670 SHA256: 1c09a4c8b56a5223496688d339fdc7a82b4fea4a2477a91b65d1f5faae633c6e SHA1: 91cb48208d52b5f93ea687a845ddb7d68770c5be MD5sum: 3d9fff47e763c9ea8d300b3367a6efb6 Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-patsy Source: patsy Version: 0.4.1+git34-ga5b54c2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 779 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-six, python:any (>= 2.6.6-7~) Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.4.1+git34-ga5b54c2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 168338 SHA256: 9b533beca8cf0fc9e812a3f14c08351917a8cf6ea79e5ad68303e52f1f7ec942 SHA1: 219f919922a2d17d720f0452fd5c42de48ccc8e8 MD5sum: 7430432290fcdb0aedc0eb85df2372bd Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 2 version. Package: python-patsy-doc Source: patsy Version: 0.4.1+git34-ga5b54c2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1061 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-patsy Homepage: http://github.com/pydata/patsy Priority: optional Section: doc Filename: pool/main/p/patsy/python-patsy-doc_0.4.1+git34-ga5b54c2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 232860 SHA256: 7c0dcc12d48a95abfd5d6a5ca1a30ccda8d58b22f0356e037f7316d5514f516c SHA1: 6555a4d5cf754db4f0ccbaef6cea2ff6fd29158f MD5sum: 20420cc68a41689701c2a369f88bc4c9 Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 441 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 141480 SHA256: 89c5fc894e1e5acc21b6fe40cfc0b46fa397e3f10571b57ad296f9be163544e4 SHA1: ced1b28c6c1edceffb5230199b04d0476a1fc45e MD5sum: 100fe882f5a1f02d33cde5884dabed9a Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: python-pprocess Source: pprocess Version: 0.5-2~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 83180 SHA256: dfeaff2e801be3d62b47328e0652bd79471ec610851c9094e4954c9bb1574df6 SHA1: 57d4609e5c8e1a005170182c0568d8d24bed8c14 MD5sum: 27dd597ed0be2dc7f922a046a5b6f017 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-props Source: props Version: 0.10.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 651 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-matplotlib, python-numpy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-props Priority: optional Section: python Filename: pool/main/p/props/python-props_0.10.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 117388 SHA256: 0f6859d2cdbfcdb919673efa923c7596b7daea6cf6004ebb0a3aa226af76528f SHA1: a7f401cb2052cd3294d6c105cefe8feb0e29f6e5 MD5sum: 19a8f1224dccad7c68589b1a53223ba4 Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-prov Version: 1.5.0-1+nd1~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 100672 SHA256: da97103dcbe2b1e95258222f8586f83c6078f9dd28d7724074fce685a53b0be9 SHA1: 74e9660862bbc19371e1f61d58aab3e29d20bf4c MD5sum: f648cda85213aac08ef79f4a7771cc83 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~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 947 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~nd17.04+1+nd17.10+1_all.deb Size: 74266 SHA256: f67a8f637f45d2be7bdf33a86a4118cef9b1e38c584033c97a1fb87392d3362c SHA1: 581ba25166b920c92e8329b2bc3fd557c9645520 MD5sum: 79e57eb2f8987fd298130b76abf1fb78 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-py Version: 1.4.31-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Suggests: subversion, python-pytest, python-pytest-xdist Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python-py_1.4.31-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 82286 SHA256: bbfa7a36f972262a1403d730ada2762dc78973e79d9079a27f406287054474dd SHA1: 449d9a549ca97fad3286cf9f97132109e3dc0806 MD5sum: a64cf81851c9e335f727431e85d45df0 Description: Advanced Python development support library (Python 2) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 2 modules. Package: python-pydotplus Version: 2.0.2-2~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 20388 SHA256: 947f14a27048faced40659be4f7b52a1b89c6139aa6b972bddd101c802f2c8d7 SHA1: 3bccc11a7acf106261e3533621d3bea326fdec88 MD5sum: a5bdd79ff37bad6020d0e517529aeb5b 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~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 525 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~nd17.04+1+nd17.10+1_all.deb Size: 45270 SHA256: f81387677f1d8c6cab7a86b360945e9a79c2eaa47c7e86102a2e296ce8b250f8 SHA1: eee4bdace3117d0efeef1f9bdd7acaaf6972ea91 MD5sum: 7b479cff60b6d9f238d2e012304c803e 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~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 1121280 SHA256: af9cadc048b739bda86494562f9298cccc66cd769cbfd5e0ea504d3781c2b58e SHA1: 624d4a1e541158bbc1b27f940559b0eaad15b88b MD5sum: 029a0cab2d171dd70d5e21cc76e9ecd4 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-pygraphviz-doc Source: python-pygraphviz Version: 1.3.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 310 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://pygraphviz.github.io/ Priority: optional Section: doc Filename: pool/main/p/python-pygraphviz/python-pygraphviz-doc_1.3.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 66108 SHA256: 7d74a0f528b16327dbab92941f17c22031c924a3a820aaef80ba993cddebfc43 SHA1: d6aabc7e84e7ab49b1c6843338e3093283a233e4 MD5sum: 69c0c26d2782de5c143edfc22ce2e454 Description: Python interface to the Graphviz graph layout and visualization package (doc) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains documentation for python-pygraphviz. Package: python-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 31 Depends: neurodebian-popularity-contest, python-pytest, python-tornado, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python-pytest-tornado_0.4.4-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 5730 SHA256: 0c83131dc189bce5ffde7a794e9c569adba5878f5b38d7ea066b1a3754fe5706 SHA1: 4d6bf90951d958434798ec0136ffd395f5ae2d81 MD5sum: 215766ae1a184201100f6efbaee97d93 Description: py.test plugin to test Tornado applications pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 2 code. Package: python-rdflib Source: rdflib Version: 4.2.1-2~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 238100 SHA256: 0557a9c1fcf472168dfea5876b3dbee5587b22f770ef9c8820def47104ae7212 SHA1: 5fa3787bc2d9aedc5cd15e64bc5d0cf43648ffea MD5sum: c1650fa4dbdd196836f30dbc5641444e 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~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8131 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.5.6-2) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: doc Filename: pool/main/r/rdflib/python-rdflib-doc_4.2.1-2~nd17.04+1+nd17.10+1_all.deb Size: 587288 SHA256: 55ae7029f2b15f8899c2dcd3317e5bb2ff43f40565e281c9b6e18f0c2f3bdcbe SHA1: 0c1ba42f965a46652b1344e215ccb7bed86b7fc6 MD5sum: 191053cf74e04eb6fbdf2d690d265a3a 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~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 11908 SHA256: 6d1b47c5da265c4beef7b8f543d532e04a1e59575810a9161c6f11f1c0259612 SHA1: f2d659ae1d5c5835c1b2a3834b36fd80c1c89afc MD5sum: 79fc78a1e479343630be486b57654d06 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-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python-urllib3 (>= 1.12), python:any (<< 2.8), python:any (>= 2.7.5-5~), ca-certificates, python-chardet Suggests: python-ndg-httpsclient, python-openssl, python-pyasn1 Breaks: httpie (<< 0.9.2) Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 68202 SHA256: 83c53cd46f9102ef5edfff36b6e7884bc1cdde2f16e67f4ce175a45acf222c7d SHA1: 88e48619bc7949761b55ac1c57a2c8f142d0c0a3 MD5sum: da739c4c6ebb34e0cf0ba79924a773dc Description: elegant and simple HTTP library for Python2, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts Package: python-requests-whl Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 353 Depends: neurodebian-popularity-contest, ca-certificates, python-urllib3-whl Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests-whl_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 319124 SHA256: b0ad575799c7afd2b21dc5b4ded166236293243a9f4a814e68ca836b563b4b0d SHA1: 3a1b425faebca79830b61f358e0d9617b27046c6 MD5sum: 8678cd74a382a3c0010bb3f6bab86ee9 Description: elegant and simple HTTP library for Python, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package provides the universal wheel. Package: python-rpaths-doc Source: python-rpaths Version: 0.13-1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 118 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.5.6-2) Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: doc Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd17.04+1+nd17.10+1_all.deb Size: 21902 SHA256: 33c822e0c1537e3ca94af10b090b9fef91034d21397d2a54d482eab49f25716e SHA1: fd9fa87c46abaa0286c9e005ee45b909509d2170 MD5sum: 5d65e357575babd4924700a66c1e7fca 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: 0.19.1-2~nd17.10+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_0.19.1-2~nd17.10+1_all.deb Size: 85408 SHA256: 2f9f68623c527105893b3f235757ead81b5a564963cfea45a0880959fe66edb3 SHA1: 107d1112e5e22aed3c4dc34e52c2914d9ad96415 MD5sum: 699cd6dd3d160f121839f898d88ebf45 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-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 520 Depends: neurodebian-popularity-contest, python-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-setuptools-doc Provides: python-distribute Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python-setuptools_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 202982 SHA256: 1674dd4df221fd73fcd6e79bcd6a114143ff1f5d7574ec3736febf56e51997a7 SHA1: 97773208f7e65a3b8bb330c009cff6c7608e5a55 MD5sum: 9be92ad417ec52fabccb8e23d388263e Description: Python Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: python-setuptools-doc Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1143 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: doc Filename: pool/main/p/python-setuptools/python-setuptools-doc_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 198140 SHA256: 12ee140967a1cebafe86941ec17c5f0db3beccc518054e5c29720ef015f4abd2 SHA1: 763ea9b9058520fad579968ff4e432371f14b295 MD5sum: 44716d8deab2e4e9069b9a11f89918c8 Description: Python Distutils Enhancements (documentation) Extensions to the Python distutils for large or complex distributions. The package contains the documentation in html format. Package: python-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 47 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python-setuptools-scm_1.8.0-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 10262 SHA256: 99aee554e70eed8d1c4e56b2d2a4f9d8b41936d43f06ac33547164ddf80af1af SHA1: 191640c4d0a7f2ac22d586395bf84624a7b99f4b MD5sum: 76d347df03dce733b2b25b9d32bf289f Description: blessed package to manage your versions by scm tags for Python 2 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 2. Package: python-six Source: six Version: 1.10.0-3~bpo8+1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 54 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~nd17.04+1+nd17.10+1_all.deb Size: 11796 SHA256: c6a6f0d5f58d8f260457ff61f8a7304f12bad3f1d90052814ca13f693abb4177 SHA1: 93e921c389f30c03da3add311b3f419086bb4c46 MD5sum: c3d93d1273a0ca73e565e38861fdcdaf 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: 0.19.1-2~nd17.10+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 (>= 0.19.1-2~nd17.10+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_0.19.1-2~nd17.10+1_all.deb Size: 1456344 SHA256: cafd51f2e14955961d969be95bd5766ee2e58e491af8d2820b9eda2719fb637f SHA1: 8f358f60a42978682f2ceff8f067b897f4a7618e MD5sum: 521808d8e51f25f5f317a8da3c0a1f54 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: 0.19.1-2~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 33312 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_0.19.1-2~nd17.10+1_all.deb Size: 5115274 SHA256: 92dcdf5454f3d0d28ee6e73ea084fa23925f3c56c77bd49c01f0df83a0b6989c SHA1: 74939c52c5baa3d26df6fdc6f492b68c1fe4894a MD5sum: 5e98f78d3032cd580b33af6ae29910c8 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-smmap Version: 2.0.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Suggests: python-nose Provides: python2.7-smmap Homepage: https://github.com/Byron/smmap Priority: extra Section: python Filename: pool/main/p/python-smmap/python-smmap_2.0.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 20160 SHA256: 301f6e27658245437b78a73f06bc7f0f7dc95b00d15faa234b32f799bc63905d SHA1: d54b1ee3db09fb5fd5535eb031d51195245ca223 MD5sum: 6115eb2b2940b610703bc485e874154e Description: pure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 2. Package: python-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 360 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python-sphinx-rtd-theme_0.1.8-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 117324 SHA256: 52f1ba227fdb962f4e7ffb6537d96be2b69bb168ddbcc3e3b9d7bea9bfed8a19 SHA1: 88ab7e343a514b19a564fe522f16b3727d455fba MD5sum: db1e7e35a1311c124904106eb75fec48 Description: sphinx theme from readthedocs.org (Python 2) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 2 version of the package. Package: python-surfer Source: pysurfer Version: 0.7-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 197 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-nibabel, python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-pil | python-imaging, mayavi2, python-argparse Recommends: mencoder Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.7-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 42568 SHA256: b7f1a5b09b1a0bd9077b7d4d1eb7cf15384586ac1850434ef80f5dd91820d29d SHA1: b6b478a589af28fa06abfdfd831f7c9c4023e361 MD5sum: 51cf75ccfa039bf2d84db464fe14068d Description: visualize Freesurfer's data in Python This is a Python package for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi’s powerful visualization engine with a high-level interface for working with MRI and MEG data. . PySurfer offers both a command-line interface designed to broadly replicate Freesurfer’s Tksurfer program as well as a Python library for writing scripts to efficiently explore complex datasets. Python-Version: 2.7 Package: python-tqdm Source: tqdm Version: 4.11.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 179 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/tqdm/tqdm Priority: optional Section: python Filename: pool/main/t/tqdm/python-tqdm_4.11.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 49716 SHA256: db68fd65294a6bb53a18445efbfec68cd470bf2ca9f69a4b8604d7748ce463dc SHA1: 6d486ba7e5d69a083095bf907d9daa96352ae6d5 MD5sum: 24912aceea23fed42e8c62d5be227b95 Description: fast, extensible progress bar for Python 2 tqdm (read taqadum, تقدّم) means “progress” in Arabic. tqdm instantly makes your loops show a smart progress meter, just by wrapping any iterable with "tqdm(iterable)". . This package contains the Python 2 version of tqdm . Package: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Recommends: ca-certificates, python-ndg-httpsclient, python-openssl, python-pyasn1 Suggests: python-ntlm Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3_1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 65450 SHA256: bf7331a38af730a38d70e711ed8d4e8fe0b06b943f8e6a214ebffba5cb019678 SHA1: 6654abf45c19f7dbcad8ddbbb26bea6ac0a3cced MD5sum: d6e274afb0b89805644e09b1fa1f8fe9 Description: HTTP library with thread-safe connection pooling for Python urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. Package: python-urllib3-whl Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 102 Depends: neurodebian-popularity-contest, python-six-whl Recommends: ca-certificates Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3-whl_1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 92926 SHA256: d6f064422ea8ef2c0ce1395242e0af52eacc35002aa1b451c0976bf4d2523d6d SHA1: 2fe61da371ec71505a15fe92ad589928b5b2fd39 MD5sum: 3147affa834802bc8c658ac4e35d6312 Description: HTTP library with thread-safe connection pooling urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the universal wheel. Package: python-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 158 Depends: neurodebian-popularity-contest, python-contextlib2, python-mock, python-six (>= 1.5), python-wrapt, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python-vcr_1.7.3-1.0.1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 43838 SHA256: 2e2e794d7862bf7be2f36f4d048ed9d5a4684401a09842d0b3037b6dc179beb9 SHA1: e8e6f55ab15183b52056e64e917470cd656549cd MD5sum: fac8efcc39489cb76bea42a2e99a68ed Description: record and replay HTML interactions (Python library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 2. Package: python-w3lib Version: 1.11.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 58 Depends: neurodebian-popularity-contest, python-six (>= 1.6.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python-w3lib_1.11.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 14140 SHA256: 7d2bfdbda2f551cc89fcfd2548faa569a939b879017c432062d7051e84bf7a69 SHA1: 92b6ff1f0ae9745669bf23e8514e322598ba4c31 MD5sum: c3413e190e3cf1c4bd332df25a3d3b98 Description: Collection of web-related functions for Python (Python 2) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 2 version of the package. Package: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-jquery Recommends: python-simplejson | python (>= 2.6), python-openssl, python-pyinotify Suggests: ipython, python-genshi, python-pkg-resources, python-lxml, python-greenlet, python-redis, python-pylibmc | python-memcache, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python-werkzeug_0.10.4+dfsg1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 163916 SHA256: 0407cb6e0d5bbd4eba88ccf7200b8a9cbd4b23064f24735c16a85a3338f271c5 SHA1: f064bde97d0eb08b01137592549aadf9111e06f2 MD5sum: a18b5d4f5c29fa68e1ea67a1883a2b6a Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-werkzeug-doc Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2728 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Conflicts: python-werkzeug (<< 0.9.3+dfsg-2) Replaces: python-werkzeug (<< 0.9.3+dfsg-2) Homepage: http://werkzeug.pocoo.org/ Priority: extra Section: doc Filename: pool/main/p/python-werkzeug/python-werkzeug-doc_0.10.4+dfsg1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 878448 SHA256: a1d56e169335c4a5ea0a64a115dc7047d1aaaeff4583ffd3d86862de41caafb3 SHA1: 9e65f0ba9de14506b8be2f383df41e6fdf24af89 MD5sum: 39bb86d3b6cc46e077d564edbe2274e9 Description: documentation for the werkzeug Python library Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 290774 SHA256: 82f73b95f731a063c69f17910419290cd095795cfab477a935eb29879eb3711a SHA1: e5843bbd1d8e1eb7db5d07b30cd6ffacfaf97072 MD5sum: 0995578c7388d045674b30593c479c96 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~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 241400 SHA256: 6544931344c8562c6572d1555b13d77379cb1c3fb6af9f07077f335a8c8667c0 SHA1: 605f1f65e36103085a71c9ad0de41a0e7b7ab82b MD5sum: 2e9e0657e1fa73f02a205b93d7dd04c9 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~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 460 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~nd17.04+1+nd17.10+1_all.deb Size: 49694 SHA256: e8c6d9dd98b69a4581853043e908f39fe1dd788dd605672d069a6a97b8f77dc8 SHA1: f64df8e02f4309a86d701535f415b42a94619c00 MD5sum: 9929517e5531b41b004a74f6656449c6 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-argcomplete Source: python-argcomplete Version: 1.0.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python3-argcomplete_1.0.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 21112 SHA256: 919296708a30d29e2de88234e8a6983c0e5719e06b976072532c8470c5577c95 SHA1: ed86814d3ce3a981f982bda5b2030ca87e50db81 MD5sum: 4d31540773d170c41c885393a5e219ac Description: bash tab completion for argparse (for Python 3) Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 3.x. Package: python3-boto3 Source: python-boto3 Version: 1.2.2-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 716 Depends: neurodebian-popularity-contest, python3-botocore, python3-jmespath, python3:any (>= 3.3.2-2~), python3-requests, python3-six Homepage: https://github.com/boto/boto3 Priority: optional Section: python Filename: pool/main/p/python-boto3/python3-boto3_1.2.2-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 58152 SHA256: 69494533923bf9382ecdc18d3c0929ec07f36e3679a7f4735bf7fa656deb9b6c SHA1: f3e59cea9a0ceb5ef675b6932eee51b7488375be MD5sum: eda1295bb836362452f3cbcbe2bcd989 Description: Python interface to Amazon's Web Services - Python 3.x Boto is the Amazon Web Services interface for Python. It allows developers to write software that makes use of Amazon services like S3 and EC2. Boto provides an easy to use, object-oriented API as well as low-level direct service access. Package: python3-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 776 Depends: neurodebian-popularity-contest, python3-lxml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python3-citeproc_0.3.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 82018 SHA256: ec2318904ec4298b5cba3fd01ae3045708b13c0e12a8c3a562833eabda915367 SHA1: 7063156535185aff49528fd546a0584b678bd6de MD5sum: 32bbaf09141a497408d5dd8d921e0bb1 Description: Citation Style Language (CSL) processor for Python3 Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python 3 modules and the CLI tool csl_unsorted. Package: python3-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python3-contextlib2_0.4.0-3~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 8826 SHA256: 2a2b5307fd4708e0f3af93cfd2d09c25fcae4dd7aef12cce74fe125ee4aae8f6 SHA1: 2777f3bc6bfe63612371d872c119ba36b6d88420 MD5sum: 76f69f8e0f2ea1863174f4d400e86131 Description: Backport and enhancements for the contextlib module - Python 3.x contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. . It also serves as a real world proving ground for possible future enhancements to the standard library version. . This package contains the Python 3.x module. Package: python3-docker Source: python-docker Version: 1.7.2-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, python3-requests (>= 2.5.3~), python3-six (>= 1.4.0), python3-websocket (>= 0.18.0~), python3:any (>= 3.3.2-2~) Homepage: https://github.com/dotcloud/docker-py/ Priority: optional Section: python Filename: pool/main/p/python-docker/python3-docker_1.7.2-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 27288 SHA256: 4554ad8e9d8d8a791796daa2bd0f4dc9ee0681e2b87f7accba554c9af3c657f6 SHA1: b85220053e565b745c4914145bb6e940a7941531 MD5sum: 3a76ec90ab0409f644800cf6a08a398c Description: Python 3 wrapper to access docker.io's control socket This package contains oodles of routines that aid in controling docker.io over it's socket control, the same way the docker.io client controls the daemon. . This package provides Python 3 module bindings only. Package: python3-dockerpty Source: dockerpty Version: 0.4.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-docker (>= 0.7.1) Homepage: https://github.com/d11wtq/dockerpty Priority: optional Section: python Filename: pool/main/d/dockerpty/python3-dockerpty_0.4.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 11076 SHA256: 761f8f30aae8470a1fe6e8dd76c999d162d6edb32d3f30ed4855660072ed4bec SHA1: ed0a2b1b687ced18f5230d6e433ed9d4e3e33ab4 MD5sum: 2886539fdad43827237b97aff758aa97 Description: Pseudo-tty handler for docker Python client (Python 3.x) Provides the functionality needed to operate the pseudo-tty (PTY) allocated to a docker container, using the Python client. . This package provides Python 3.x version of dockerpty. Package: python3-fsl Source: fslpy Version: 1.2.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 404 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-indexed-gzip, python3-numpy, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-1~nd17.10+1_all.deb Size: 84178 SHA256: bd39ed890d6961c15ff88acc82b1064c75182b9ff3d576accd2c298b6bae2e60 SHA1: d235e204fd04b5501f6440eb6742fcfd81f150d0 MD5sum: 311feed7eb565909da4d28913ca4b395 Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-funcsigs Source: python-funcsigs Version: 0.4-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-funcsigs-doc Homepage: http://funcsigs.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-funcsigs/python3-funcsigs_0.4-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 12936 SHA256: 94fbbc54ad45e9b026eaf72009031c5c068483fa72de730b46e75c8350c97df9 SHA1: a407a41edb77058cbd70c06707b4ead7c6c97af7 MD5sum: 4b29a72f85a24122a903f86d0219f09d Description: function signatures from PEP362 - Python 3.x funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the Python 3.x module. Package: python3-future Source: python-future Version: 0.15.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1650 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python3.6:any, python3:any (>= 3.3.2-2~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python3-future_0.15.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 333268 SHA256: 3cb9bf09edb7bb4a8bec24b1561832cea6570e5c1b15c703cd9597ba035579d6 SHA1: 8476a7d48301c80a6c8f9d7211b098af6bde5ef3 MD5sum: 552721ef56284166a2ee2209d528b216 Description: Clean single-source support for Python 3 and 2 - Python 3.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 3.x module. Package: python3-git Source: python-git Version: 2.1.8-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1650 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_2.1.8-1~nd17.10+1_all.deb Size: 303234 SHA256: 2b63e529895707d89fb9b0624e207b13b87f701349a18f7dc6edae1831332b18 SHA1: ace6b83c5736d2029ca69dfa8595e852bb615864 MD5sum: b3509e476840842299dc208b6b7902a8 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-github Source: pygithub Version: 1.26.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 630 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Conflicts: python3-pygithub Replaces: python3-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python3-github_1.26.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 44948 SHA256: 7e8944cc304e2720907770b9a53f8b355c38d9335f7347f0279c4e5b957942f5 SHA1: 23c8ca60673703ee74b29feb20c3b13a01a7f225 MD5sum: 4f289d946a74c00f44ab19a11fca0392 Description: Access the full Github API v3 from Python3 This is a Python3 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python3-humanize Source: python-humanize Version: 0.5.1-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python3-humanize_0.5.1-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 12790 SHA256: 80fda25c09b27aff55334958ebfefe4fb53dd58434bd49cca15c708b32c165ac SHA1: 785a4f40e37e51b4079f55c88102b216884aecbc MD5sum: 65838c492a34395db28cfe7321cb881a Description: Python Humanize library (Python 3) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 3 version of the package. Package: python3-hypothesis Source: python-hypothesis Version: 3.6.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 386 Depends: neurodebian-popularity-contest Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python3-hypothesis_3.6.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 70284 SHA256: 451105cfa929133822a7344a241117dc78d9ba6001ca08f21e1e81ec35808261 SHA1: 4a93342babaddb52448416fa294a180110be4954 MD5sum: 1e1f67d55ab34a321ef6de836e3af5da Description: advanced Quickcheck style testing library for Python 3 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 3 module. Package: python3-joblib Source: joblib Version: 0.11-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 500 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-pytest, python3-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.11-1~nd17.10+1_all.deb Size: 117566 SHA256: dd3461d39f8b6f1aa43ec087b8a63a2ea851462b63ede71c7f86995cd7de02c0 SHA1: 2a69471127f1bfa86afa94d4ee41c760a961a42e MD5sum: 00a533634c3eb08238e7923cda80fc75 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 3 version. Package: python3-jsmin Source: python-jsmin Version: 2.2.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/tikitu/jsmin Priority: optional Section: python Filename: pool/main/p/python-jsmin/python3-jsmin_2.2.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 21688 SHA256: be0503605843017f8da9e1c985950e715f5b9cf42acf4917f8cf819beb1f2850 SHA1: b34e36e9df8be7f28e0b8b4443fce11b8ba003c1 MD5sum: 7b359f98dd2cae11dea9dfdb53e0c3d4 Description: JavaScript minifier written in Python - Python 3.x Python-jsmin is a JavaScript minifier, it is written in pure Python and actively maintained. . This package provides the Python 3.x module. Package: python3-nibabel Source: nibabel Version: 2.2.1-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64653 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_2.2.1-1~nd17.10+1_all.deb Size: 2193868 SHA256: ba3cc204bd6e3125e292d4f11d424eb534bacb0e4612cae3b455160cf1702ee0 SHA1: c1949ab773505a43ef2fc9628411cc849a84cd6e MD5sum: de823f264432372a1a5fe4855a85d2e1 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-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, python3-coverage, python3-nose, python3:any (>= 3.3.2-2~), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python3-nosexcover_1.0.10-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 5300 SHA256: 10bfb2a3176e6beb0da33603af71abf653dab6562111e02a9822285fa8d11f77 SHA1: acfee21959a60287e04c8556f648cc4b636fb76d MD5sum: f88931c0aa9581bf0b2a0e81bfc3631a Description: Add Cobertura-style XML coverage report to nose A companion to the built-in nose.plugins.cover, this plugin will write out an XML coverage report to a file named coverage.xml. . It will honor all the options you pass to the Nose coverage plugin, especially --cover-package. Package: python3-openpyxl Source: openpyxl Version: 2.3.0-3~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1321 Depends: neurodebian-popularity-contest, python3-jdcal, python3:any (>= 3.3.2-2~), python3-lxml (>= 3.3.4) | python3-et-xmlfile Recommends: python3-pytest, python3-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.3.0-3~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 198430 SHA256: 2c3caed651d84839eb0d156a3b0cdd301fbe092cecfd8d743f05215ed5a19d65 SHA1: 9f6e39609268dce2667836d9131078e5f46ae226 MD5sum: cb62700771bf2b268c6f3b5d2e1a645e Description: module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python3-packaging Source: python-packaging Version: 16.2-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, python3-pyparsing, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python3-packaging_16.2-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 17202 SHA256: 92f5311d11b977b877fe4d14fca4cbe477ceaf53357529db90e279334709ef8b SHA1: 6f6b45ee1456c7c389309b86eaf2d5d130bc05c9 MD5sum: d8a768d2808678a99394af8afe1b76d3 Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python3-pandas Source: pandas Version: 0.20.3-2~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25646 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.20.3-2~nd17.04+1+nd17.10+1), python3-pkg-resources, python3-six Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-lxml Suggests: python-pandas-doc Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.20.3-2~nd17.04+1+nd17.10+1_all.deb Size: 2624368 SHA256: 7c2bbc57327b4c2b10451fd5a89da02e688a037139292bef2e33c7ee2e19dfd4 SHA1: 0ac20c6604179268c5ef8ee8067b8db35a5228cf MD5sum: b09117ca583c19dc183b1930af53266d Description: data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version. Package: python3-patsy Source: patsy Version: 0.4.1+git34-ga5b54c2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 778 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.4.1+git34-ga5b54c2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 168366 SHA256: 51c034212be1dd09a9491bbe1cb1eead390d28b5b477ed536375229ac559a39b SHA1: 634577a5a50af62ea9338fc142e9006aa98ff771 MD5sum: 490bd908bd6d19a2024e3a6e210ab50d Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 3 version. Package: python3-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python3-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 112086 SHA256: 12b67efa9f4dae6cb707691215257c22fc89e0ac9f76487c17f4958896fb8d2e SHA1: e7bbcdfcc8650f30b2f6b63a30dfe7cef1170b2a MD5sum: 0592db996a01c0a0d31afb913f7c10e9 Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: python3-prov Source: python-prov Version: 1.5.0-1+nd1~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 100858 SHA256: 4b99218897a3580f359357bd67cd6b0c35851567a2491983d1ecccffa52d6cea SHA1: c887c86f8c84a6e531f9cdefeacd921bba2338d2 MD5sum: 0e99d0691a65d9aa81fdb197d8e60eed 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-py Source: python-py Version: 1.4.31-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Suggests: subversion, python3-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python3-py_1.4.31-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 82344 SHA256: 8616f61fbdd7627d62d59cacc530d5303a2e0e27759cec5f8b9f5de440a2c88e SHA1: e38ab1490eb44ae4d07a64b5652bf31942cc93a1 MD5sum: 1a9eea4240a218f9eab6a7f269556de9 Description: Advanced Python development support library (Python 3) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 3 modules. Package: python3-pydotplus Source: python-pydotplus Version: 2.0.2-2~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 20462 SHA256: 79edaa565fa460824b92cac2525de9437142bd47ce46fe13a721b8071e3b821f SHA1: 15949355168cb993f9c1f600527a77ee00130ec4 MD5sum: 4f4828c2e7e780558cdd0d82f235aaa3 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-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 31 Depends: neurodebian-popularity-contest, python3-pytest, python3-tornado, python3:any (>= 3.3.2-2~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python3-pytest-tornado_0.4.4-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 5802 SHA256: 6a9e45c8a5ca91dc4de657b3ab363f998cd9474d4068b7a9b33c9e7f19ac75a9 SHA1: 668324cf6cc76ec4d3b1b8ca3a5b265a44cdbe41 MD5sum: 168091052fc8c96a8e7fac92907e1fe0 Description: py.test plugin to test Tornado applications (Python 3) pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 3 code. Package: python3-rdflib Source: rdflib Version: 4.2.1-2~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 236760 SHA256: e4b8f4cb1b5205fb3d71887689a4c7bfd5dfdeafc79713e3e46548502a787088 SHA1: 8932c79cda63834ba7eb48de7871cfda2e8ba216 MD5sum: 7e6102daa95cb84b3eaf8d7e659edd23 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-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python3-urllib3 (>= 1.12), python3:any (>= 3.3.2-2~), ca-certificates, python3-chardet Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python3-requests_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 68030 SHA256: 22e586a3adc48cdb667512a3d598d7d53b6d14bc91886fee4211b2b18ab6853d SHA1: 3c915ae0133df62c07ae5ab68cc450c52a99a4c0 MD5sum: db4b9965885672c1ca30f470f9bc2f7a Description: elegant and simple HTTP library for Python3, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package contains the Python 3 version of the library. Package: python3-rpaths Source: python-rpaths Version: 0.13-1~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 12924 SHA256: 0bcd0af2538c1931d030a475f47e2cb1d9431516240b8ca6faaeaa15cdddb66b SHA1: 936490305ba658b6fbc10ebf7137489e1c413ffc MD5sum: 37056e4adca179c7b26f5b0311c6e197 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-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, python3-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1), python3:any (>= 3.3.2-2~) Suggests: python-setuptools-doc Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python3-setuptools_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 121970 SHA256: 045cbe49018792a6de7ca0bab9c80b42dbc0791df86eced9b2ee9f58519148a9 SHA1: 5e2653cb3d05dc13f5dd655a4db8b1588792208a MD5sum: 36ed95bc692136f19f87a91062a4a6ba Description: Python3 Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: python3-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 47 Depends: neurodebian-popularity-contest Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python3-setuptools-scm_1.8.0-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 10318 SHA256: 0ec334bc6e4b9706095f3dfed4cefe108886d5b516029f6171b48e39994d6014 SHA1: 9da41e8e4816f8a84559dbbf4c8e0a985bf23f85 MD5sum: 9d4263659d165a9f53265d1c734edb63 Description: blessed package to manage your versions by scm tags for Python 3 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 3. Package: python3-six Source: six Version: 1.10.0-3~bpo8+1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 54 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~nd17.04+1+nd17.10+1_all.deb Size: 11870 SHA256: cf77767835d42ea7457a19751234f0edb87a7d38c09e67e5238d98cbce6a76c2 SHA1: 6865d546d08c1b1b1817ea9b8aa8a8b25a12c362 MD5sum: b9f9ebe9a90ca0e4a4040a571df8ec77 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: 0.19.1-2~nd17.10+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 (>= 0.19.1-2~nd17.10+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_0.19.1-2~nd17.10+1_all.deb Size: 1456194 SHA256: 1f9166a596a573656b6b640aad8c8290515e300ae5380d97a1c0974e379ee47e SHA1: 8d5519871855dd6b47e44113697b78bf1576bd73 MD5sum: 6ac37d11f6ae18f9acb7695588e462ca 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-smmap Source: python-smmap Version: 2.0.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-nose Homepage: https://github.com/Byron/smmap Priority: extra Section: python Filename: pool/main/p/python-smmap/python3-smmap_2.0.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 20250 SHA256: 3f0e9df7dcabb905b10e213ce7e72867333b680b09d3614107a5fd10fbf96a4b SHA1: a13c984edb45068dfdc8795c1e9f8d624a250e05 MD5sum: 2028057ae7751a26d28a8de95d2949df Description: pure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 3. Package: python3-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 360 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python3:any (>= 3.3.2-2~) Recommends: python3-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python3-sphinx-rtd-theme_0.1.8-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 117378 SHA256: baa3db9f22f6a3553fa543f3d902023deffae350b70075da1b849cb7b8035f96 SHA1: d59afaa267831e0352033bd24733817b2fe09962 MD5sum: 9d417f1283ab93eb1ee4302e5d68e1db Description: sphinx theme from readthedocs.org (Python 3) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 3 version of the package. Package: python3-tqdm Source: tqdm Version: 4.11.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 181 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/tqdm/tqdm Priority: optional Section: python Filename: pool/main/t/tqdm/python3-tqdm_4.11.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 50022 SHA256: ba09f911e5f7c245773aba09513d641f2b993c7c3b3682b242a69688c8bde736 SHA1: f45f9b1d9eff37ac4a23eb07bc206b3111d93b17 MD5sum: 1d19fb16e435b9adc208e749ea1c66a3 Description: fast, extensible progress bar for Python 3 and CLI tool tqdm (read taqadum, تقدّم) means “progress” in Arabic. tqdm instantly makes your loops show a smart progress meter, just by wrapping any iterable with "tqdm(iterable)". . This package contains the Python 3 version of tqdm and its command-line tool. Package: python3-urllib3 Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-six Recommends: ca-certificates Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python3-urllib3_1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 65590 SHA256: 3fc37f3540c076f3de1d441742992c285fd5ef9e26d418711fbde861bafc9200 SHA1: ed808e9ec53cc1ca7a9c48d0f5a295b1bf14b67a MD5sum: 5a5864bd6187cbb8d7d5260fc06a1743 Description: HTTP library with thread-safe connection pooling for Python3 urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the Python 3 version of the library. Package: python3-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 158 Depends: neurodebian-popularity-contest, python3-six (>= 1.5), python3-wrapt, python3-yaml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python3-vcr_1.7.3-1.0.1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 43910 SHA256: 7325d015fd9751c9132472b65d08261d1b4dc795a4f891ad25fce7d2627dd79c SHA1: f0f923f789386675090df55abb56078342850dd6 MD5sum: 4c956cc1eaea338a61ef28eef7d84397 Description: record and replay HTML interactions (Python3 library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 3. Package: python3-w3lib Source: python-w3lib Version: 1.11.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 58 Depends: neurodebian-popularity-contest, python3-six (>= 1.6.1), python3:any (>= 3.3.2-2~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python3-w3lib_1.11.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 14236 SHA256: a33a86c5d8e3115c2df41ffab4dca6717fad1b6c6b45fb548149f2c56d7a279b SHA1: 7deea4b9afcefc0d764c20f4bd0099c790731fda MD5sum: bae9fe397efd595eeb4dad83a416bd94 Description: Collection of web-related functions for Python (Python 3) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 3 version of the package. Package: python3-werkzeug Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), libjs-jquery Recommends: python3-simplejson | python3, python3-openssl, python3-pyinotify Suggests: ipython3, python3-pkg-resources, python3-lxml, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python3-werkzeug_0.10.4+dfsg1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 163922 SHA256: e98c3c0d9a657e62a07685aa578af5058d2c05a0650ca51792bf8736c10b7bea SHA1: 8047f88702941a2944818797690d186ed19b5ee1 MD5sum: cb52e30c10f59851b5f34a9d3a811400 Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd17.04+1+nd17.10+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~nd17.04+1+nd17.10+1_all.deb Size: 290874 SHA256: 6f9b82dc7eb7e4e08f52bb8cb5dd3c9075f4c13340a5c3ba1e4c9193f4578239 SHA1: 77ecc9596edbf7068f36c10b742dd155ca135b1b MD5sum: f988c4420e456fadb3fe0cdde8c25403 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