Package: afni-atlases Source: afni-data Version: 0.20180120-1.1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 109419 Homepage: http://afni.nimh.nih.gov Priority: extra Section: science Filename: pool/main/a/afni-data/afni-atlases_0.20180120-1.1_all.deb Size: 98215048 SHA256: b7b30ce4345671d92cb08f939b76de42f81a6839abe3d47dba1db0620fe64e0c SHA1: 792d6506cc866acfa54fc71475f823e686f169f7 MD5sum: deaddf5e6992face9b5edeb62644187c Description: standard space brain atlases for AFNI AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provide AFNI's standard space brain templates in HEAD/BRIK format. Package: bats Version: 0.4.0-1~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest Homepage: https://github.com/sstephenson/bats Priority: optional Section: shells Filename: pool/main/b/bats/bats_0.4.0-1~nd80+1+nd90+1+nd16.10+1_all.deb Size: 14478 SHA256: 49cce89a63ffbfbeedf2a6c21a6d1824d0fbe92b0f20563667cb13b707e50fc9 SHA1: 568ebc74962277792dbeda3548fd0dec9d138bf1 MD5sum: 6e94965751ac7130e80dc0741f4d49a6 Description: bash automated testing system Bats is a TAP-compliant testing framework for Bash. It provides a simple way to verify that the UNIX programs you write behave as expected. Bats is most useful when testing software written in Bash, but you can use it to test any UNIX program. Package: btrbk Version: 0.26.0-1~nd16.10+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~nd16.10+1_all.deb Size: 85878 SHA256: a74d8b863b7efd90d4ed048de4d74fafa5c6fc95df6a2b2eb0c99cd9278fe6de SHA1: 48055beea98f934d344f5ade74edff797bf2a8c3 MD5sum: 7769effc47bbd3e6e6830de8c3eef175 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: datalad Version: 0.17.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 224 Depends: neurodebian-popularity-contest, python3-datalad (= 0.17.5-1~nd+1), python3-argcomplete (>= 1.12.3), python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.17.5-1~nd+1_all.deb Size: 187092 SHA256: dcfab5ab31ab85c685b4439648c3095efb236b34c92eb2f870fc1376dd0dbab1 SHA1: e8a088bc96e73f10444588eede93689410943c07 MD5sum: a4020bc221d05979fe1738d432660717 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) Package: debian-handbook Version: 6.0+20120509~nd+1+nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 21551288 SHA256: 6c4c0fdefb1f6c9bfb9c9ca699e056d164deaaf7e2522be2cbdbf2b2064c6806 SHA1: ab33404645e2c6e28f9a8b5f24408bda6c48a7d1 MD5sum: 480530239879515175daea4a79eec1b7 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: dh-systemd Source: init-system-helpers Version: 1.18~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, perl, debhelper Multi-Arch: foreign Priority: extra Section: admin Filename: pool/main/i/init-system-helpers/dh-systemd_1.18~nd80+1+nd90+1+nd16.10+1_all.deb Size: 13914 SHA256: fa7f78098e5a4035620dd2631dd2fabf0a5f0d6e3b99723cfbe6cca3328b0fdc SHA1: 8c4fc3fde5155914d0aa844d31150a316fb3d0b5 MD5sum: 252d50eb01047a5b33d67de2e1572f6d Description: debhelper add-on to handle systemd unit files dh-systemd provides a debhelper sequence addon named 'systemd' and the dh_systemd_enable/dh_systemd_start commands. . The dh_systemd_enable command adds the appropriate code to the postinst, prerm and postrm maint scripts to properly enable/disable systemd service files. The dh_systemd_start command deals with start/stop/restart on upgrades for systemd-only service files. Package: docker-compose Version: 1.5.2-1~nd90+1+nd16.10+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 (>= 1.0.4), python-jsonschema, python-requests (>= 2.6.1), 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+nd16.10+1_all.deb Size: 76914 SHA256: f0b95fbb70ee9273646feffbe39a5049b9aed4367a45d2f5cf899e0526d38620 SHA1: 0be5c84e62a7c1a676ff283c245edf01d13d39f1 MD5sum: b50e22376e6327c68deb338b54d274ac 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: eeglab11-sampledata Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8117 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/e/eeglab11/eeglab11-sampledata_11.0.0.0~b~dfsg.1-1~nd70+1+nd90+1+nd16.10+1_all.deb Size: 7058984 SHA256: 86425ffafa9f3e50147b561a6ff522e04bef634a8af778cc9a11e13a835ec6b7 SHA1: 44634734a9808599f0016d93fa0d474973a8c2d9 MD5sum: c900df0a495b1f8865863a7934391380 Description: sample EEG data for EEGLAB tutorials EEGLAB is sofwware for processing continuous or event-related EEG or other physiological data. . This package provide some tutorial data files shipped with the EEGLAB distribution. Package: fail2ban Version: 0.9.7-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1274 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), init-system-helpers (>= 1.18~), lsb-base (>= 2.0-7) Recommends: python, iptables, whois, python3-pyinotify, python3-systemd Suggests: mailx, system-log-daemon, monit Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.9.7-1~nd16.10+1_all.deb Size: 262474 SHA256: 3ea30f6147b8c438449464618578f6f78a21c6aaae0e19f07eb8f7989a038d7a SHA1: eeaf48d38df1199ce608de4d13ba5228d8d74566 MD5sum: ba602683afe5185db86aeb4d4c7c226b Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Following recommends are listed: . - iptables -- default installation uses iptables for banning. You most probably need it - whois -- used by a number of *mail-whois* actions to send notification emails with whois information about attacker hosts. Unless you will use those you don't need whois - python3-pyinotify -- unless you monitor services logs via systemd, you need pyinotify for efficient monitoring for log files changes Package: freeipmi Version: 1.4.9-1~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 1174 SHA256: f0ca6d7d2d0122e39e6978bb9a322c4c1b3f4b606e43b0c91aea94c1132d5dbb SHA1: 3bb0ce2a37550d1b12d13bfb89cf7346db24a037 MD5sum: ccffa40c5446f7f41398e9914296de42 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+nd16.10+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+nd16.10+1_all.deb Size: 189160 SHA256: 315e76ae7163ad63557d027235944b6370de5b5b6bf8efb036b27bfc77bdc4a5 SHA1: 71f8907d5d7cdd45b1cf648c71380e544df6f825 MD5sum: 9a703dddda26781f2d54d75f86c81bed 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+nd16.10+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+nd16.10+1_all.deb Size: 13966 SHA256: b5d6b1edb0f315136ddbb9ea4a2cf032ca3b496db7c69cce486ad9f9d1b4091b SHA1: 819ecf4b841f69ae2adb2b5dd8c298aae76d0dc1 MD5sum: 0d0df9c7b4f977427e546c143da7db52 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: gcalcli Version: 3.4.0-1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 1670038 SHA256: 552288ddf43200b5ad6a8f8be0956a81b2d304fb4444bc93899e7db5148355cc SHA1: 26bb47ac3ea87649fd526acf182b34c014233125 MD5sum: b1f0e15595ef8d9921ecbfe5348abb83 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~nd16.10+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~nd16.10+1_all.deb Size: 34102 SHA256: 81b24aec942db5b38905038cd15ceb4e9e6402a521d00ea0eaf1f212dcb44332 SHA1: 4aa10a0c650724390fcb3a9be6dde09a60b4e201 MD5sum: 334e98d14e7496af7329c50a35f0601f 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: gmsl Version: 1.1.5-1~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 89 Depends: neurodebian-popularity-contest, make Homepage: http://gmsl.sourceforge.net/ Priority: optional Section: devel Filename: pool/main/g/gmsl/gmsl_1.1.5-1~nd80+1+nd90+1+nd16.10+1_all.deb Size: 13904 SHA256: cb66a382bf862734441cdbaf937e38673d463a61f1e45ba31d54dbd3dd7e2571 SHA1: 0057df689d28819b5b3925e4a0a23ec9fe23c1e4 MD5sum: 67290672d5bde14963e01356234ab27a Description: extra functions to extend functionality of GNU Makefiles The GNU Make Standard Library (GMSL) is a collection of functions implemented using native GNU Make functionality that provide list and string manipulation, integer arithmetic, associative arrays, stacks, and debugging facilities. . Note that despite the name of this project, this library is NOT standard and is NOT written or distributed by the GNU project. Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 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-pkg-sftp-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 Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 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~nd16.10+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~nd16.10+1_all.deb Size: 41266 SHA256: 073afca4c1ee4bd6c583dee0a738cf63a9eb55f864374f6ddf6021bfa733e5e6 SHA1: c586713e66236d710849441cf74d7ca06762e9e2 MD5sum: e88c056a2a65b913d793a196c210d562 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~nd16.10+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~nd16.10+1_all.deb Size: 184246 SHA256: d79eb8627a481a19d1df12f60d1c431eb7b22363e9642681f87be51495950ab0 SHA1: 5379827694f157da5339d89bc84338b696dd22f7 MD5sum: d875c0bd024ffeecff6458574ffeb354 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: incf-nidash-oneclick-clients Source: incf-nidash-oneclick Version: 2.0-1~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: neurodebian-popularity-contest, python (>= 2.5.0), python-dicom, dcmtk, python-httplib2 Homepage: http://xnat.incf.org/ Priority: extra Section: science Filename: pool/main/i/incf-nidash-oneclick/incf-nidash-oneclick-clients_2.0-1~nd70+1+nd90+1+nd16.10+1_all.deb Size: 9142 SHA256: dedaf704f06950bcd7b213741eb84dc7df05dc7ccaf2db04598522a8cd640cf3 SHA1: d7924daf8411831fd3557220769124930b075217 MD5sum: 06fedd48d5e5e2db5d18e5082cd92cd9 Description: utility for pushing DICOM data to the INCF datasharing server A command line utility for anonymizing and sending DICOM data to the XNAT image database at the International Neuroinformatics Coordinating Facility (INCF). This tool is maintained by the INCF NeuroImaging DataSharing (NIDASH) task force. Package: init-system-helpers Version: 1.18~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, perl:any Breaks: systemd (<< 44-12) Multi-Arch: foreign Priority: extra Section: admin Filename: pool/main/i/init-system-helpers/init-system-helpers_1.18~nd80+1+nd90+1+nd16.10+1_all.deb Size: 13526 SHA256: c55524e2f71b4584874ed5b0be5ec2147f93a2c8b4c1322422690be2eabac227 SHA1: fa1cbfec9948e6bff7556349afdb1faffe47a07f MD5sum: 49973e89a6641cbfd674a839ebcd722c Description: helper tools for all init systems This package contains helper tools that are necessary for switching between the various init systems that Debian contains (e.g. sysvinit, upstart, systemd). An example is deb-systemd-helper, a script that enables systemd unit files without depending on a running systemd. . While this package is maintained by pkg-systemd-maintainers, it is NOT specific to systemd at all. Maintainers of other init systems are welcome to include their helpers in this package. Package: ismrmrd-schema Source: ismrmrd Version: 1.3.2-1~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/ismrmrd-schema_1.3.2-1~nd90+1+nd16.10+1_all.deb Size: 5068 SHA256: 270c2e45c9789ca6b0fd5ff6c595672b54521de5643a47bf3dc3071a29c61926 SHA1: d679b91ede4327ec303e3c261416af1cfb6aa1d9 MD5sum: 627d68bc90a86df46aa8b3116521470d Description: ISMRM Raw Data format (ISMRMRD) - XML schema The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the XML schema. Package: libghc-network-protocol-xmpp-doc Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90+nd16.10+1 Architecture: all Maintainer: Debian Haskell Group Installed-Size: 468 Depends: haddock-interface-27 Recommends: ghc-doc, libghc-monads-tf-doc, libghc-network-doc, libghc-text-doc, libghc-xml-types-doc 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+nd16.10+1_all.deb Size: 46662 SHA256: 0f34b87bd54bdf22afaf446ea6d2272aca04323a5ae863abe0d5d4980dff154c SHA1: ce7caf04a72419299b98ac95b9a626fcd226aada MD5sum: 2da015f456f85b3511bf0bfd15479b36 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: libismrmrd-doc Source: ismrmrd Version: 1.3.2-1~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1961 Depends: neurodebian-popularity-contest Homepage: http://ismrmrd.github.io/ Priority: optional Section: doc Filename: pool/main/i/ismrmrd/libismrmrd-doc_1.3.2-1~nd90+1+nd16.10+1_all.deb Size: 156408 SHA256: 25553c8c9a50e5c9ac6d87aaba23ba4c0c80d7acb377ee5abcdda04fac27536d SHA1: 7c97ea5ab1ba5b9f395443cafed6b832a9f91eb5 MD5sum: c3425f6bb2058a01791e7e9417ff9c45 Description: ISMRM Raw Data format (ISMRMRD) - documentation The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the documentation. Package: libmialm-doc Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 248 Depends: neurodebian-popularity-contest Suggests: devhelp Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/libm/libmialm/libmialm-doc_1.0.7-2~nd80+1+nd90+1+nd16.10+1_all.deb Size: 20816 SHA256: 93acbccbdb22e9bdcffbef4bfd707203beccbe54e9c7461605f7e59ed9c30e31 SHA1: 8e86d876d4b627307ab1696e227b8c7f88972fe1 MD5sum: 12a32dabc96b819305832ad7058ddd2c Description: Documentation for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package contains the library documentation. Package: libnifti-doc Source: nifticlib Version: 2.0.0-2~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1696 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://niftilib.sourceforge.net Priority: optional Section: doc Filename: pool/main/n/nifticlib/libnifti-doc_2.0.0-2~nd80+1+nd90+1+nd16.10+1_all.deb Size: 137770 SHA256: fdf6f54329ea9cd4caeb7691db50615501d841c39db5fee8b950cd14ed14e59e SHA1: c3c0c8771d9f7b3a3c25cbaf2dabbe32895b1da7 MD5sum: cc63083735f65ca343e736e7d913a7eb Description: NIfTI library API documentation Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the library API reference documentation. Package: matlab-support-dev Source: matlab-support Version: 0.0.21~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 7574 SHA256: 34b21f605476ca46805d9926587a4c52177c02844299acafdbf6beff023bfacb SHA1: 3ad7f3c7fbbf5cdbb30225f5af830e2411d669ca MD5sum: d692c74b212efd24058007121f075573 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+nd16.10+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+nd16.10+1_all.deb Size: 637292 SHA256: dce926e0211e2843a7d42dc78b240b84eacb94597e392089bb2624e20e47bf65 SHA1: 7410865589f33b1997154957a364651c9901f067 MD5sum: 7ada268145b8d334f3f7211be12a750c 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: netselect-apt Source: netselect Version: 0.3.ds1-25~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 Depends: neurodebian-popularity-contest, wget, netselect (>= 0.3.ds1-17) Recommends: curl Suggests: dpkg-dev Enhances: apt Homepage: http://github.com/apenwarr/netselect Priority: optional Section: net Filename: pool/main/n/netselect/netselect-apt_0.3.ds1-25~nd80+1+nd90+1+nd16.10+1_all.deb Size: 16868 SHA256: 9de4df7d8e213c9b891d7b074aa04ed558f4b5454c593881b658477c8c1a9dc0 SHA1: 16d9d1d7037833ebebda2be347c98855629f8e1b MD5sum: 66d16cb940c8e1e4177b4b2b49caeec1 Description: speed tester for choosing a fast Debian mirror This package provides a utility that can choose the best Debian mirror by downloading the full mirror list and using netselect to find the fastest/closest one. . It can output a sources.list(5) file that can be used with package management tools such as apt or aptitude. Package: neurodebian Version: 0.37.5~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 34622 SHA256: 73c8f723fee50b8e12dcaee57a27ee799971ace16f454d536e21001460714bc0 SHA1: b026a7995143f8a061adaa9b0aea685454e2c8fc MD5sum: caa9d52d258f06cb646cf1bd261b4f76 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+nd16.10+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+nd16.10+1_all.deb Size: 10430 SHA256: ab75f6b15b1a88a63e11b59251b94f0a3d37fd0cd1a535b6009a53d0f9ed2d2c SHA1: 5af974b9f613484e797420a5ad2f0f1b32b41f77 MD5sum: a794b4fdb2ee2d537df5371d51c0cd17 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+nd16.10+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+nd16.10+1_all.deb Size: 116404 SHA256: 142dc95fac424d47b64acacff4ccca20fb8ff837411ce9b065df9c49b4cd3481 SHA1: 4b5a6db6c8bb6980933ff1ca872d2dd6273432fd MD5sum: 71087339e47bc1c1fc471f83fcc1bac8 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+nd16.10+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+nd16.10+1_all.deb Size: 32864 SHA256: 8256db736c86c4a687ee5f99a460e846207b8b0cc39fb14a5f6efd9dec206cca SHA1: 0c1d9e4c17ea1aff9bf898035853d46625de5fcb MD5sum: a4a82e4072df1ca0eebe6aae6d22bfa5 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+nd16.10+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+nd16.10+1_all.deb Size: 17006 SHA256: 84cd6b4c740752fb5a28f2d4044f3245cddae377091b450df5c31cdd33f69fa7 SHA1: 3da9686be409ea48fd06ed95e803c2040d4577d8 MD5sum: eb5f55fd89ceb1824a3be3d6d58559e7 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+nd16.10+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+nd16.10+1_all.deb Size: 12452 SHA256: 24b8f245f4e2017ded2539ba0115de19a75b0cd6dcadaca5feb82d8757824c48 SHA1: db2f2b75d0538111d1e3a8d6f58d4b8feb1f66e4 MD5sum: 5cb79f647c7092bfd6240da2aeabb522 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3551 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~nd16.10+1_all.deb Size: 707028 SHA256: d5439b5ed0f256f8365d85c3d1cab6ccc73f170bcaf522f9cad54000f57f2737 SHA1: 0145675e9f21f6dbc90402fab7b384047824b548 MD5sum: dbb14556f758a0124a3ff5430e8354d7 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+nd16.10+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+nd16.10+1_all.deb Size: 52308 SHA256: 2dc0093796143d5fe5315432e1490bdddce204cc644d24a8dfe9f4278a15bf68 SHA1: 99e64d9139062501a6b9d724a863e94824eb9cfd MD5sum: ff0b96fe2e5640f99322d208703e55a5 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-prov (= 1.5.0-1+nd1~nd16.10+1) Homepage: https://github.com/trungdong/prov Priority: optional Section: utils Filename: pool/main/p/python-prov/prov-tools_1.5.0-1+nd1~nd16.10+1_all.deb Size: 6940 SHA256: 24cc27ea014089213c4668f054cf05b518abe716d3c75e085f5acd4afa03711b SHA1: 55ceb639983a7137745ea53e7e91f7a0d664c6e6 MD5sum: 78a7ae5487e90461130569cbb4589fa6 Description: tools for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the command-line tools for the prov library. Package: psychopy Version: 1.85.3.dfsg-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15994 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-requests, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython, python-future Suggests: python-iolabs, python-pyxid, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.85.3.dfsg-1~nd16.10+1_all.deb Size: 6666288 SHA256: d5c7267dc4fce87eee45e6b37ef3974c0ca09658a5f150b5dd174e7bf84e0d0d SHA1: 6b013ce7e5a7ce42c6da6df98f5073a0a14801cf MD5sum: 20b03b4744fb6d1e156cde68f6f2d75c Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.14.20171008.dfsg1-1~nd16.10+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~nd16.10+1_all.deb Size: 24269422 SHA256: 788ac8fb2653f199e235f2e0a489aed5d7c50a76f780532267a73742dfbf1397 SHA1: 88458e8843e33fd5fb2077fc764ecc83569fe178 MD5sum: 2066766af5690fd9ba003f086405cff7 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~nd16.10+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~nd16.10+1_all.deb Size: 70198 SHA256: e9243b07bac8d936e2b0fe7560b65781f7d09d0f77888910d05d9ce258332e08 SHA1: debfcb859d86032f8a37c055dffe7df170f0824a MD5sum: a9b39ac058709be450173a92c7231e4a 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-json-tricks Source: json-tricks Version: 3.11.0-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, pypy Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/pypy-json-tricks_3.11.0-1~nd16.10+1_all.deb Size: 18920 SHA256: 1214e78e7b625a62ad1a44020dc0c1dea6f3a97c9f729feee64a15d918d9be20 SHA1: 7f61efd3214992100f6063ca821b3829118c1879 MD5sum: 6275e20181cd05e6d7b235051e25f7a7 Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: pypy-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 112052 SHA256: 545945494d42d0a030f0699d9cd494dc1b8278145e24ad9762246f391deb3c70 SHA1: 70b30120c7422fdc1acd1910f0487d2e4eeef72e MD5sum: f61bf55cd31bdf59a05cb5cbd364381f 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~nd16.10+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~nd16.10+1_all.deb Size: 82260 SHA256: 557faa007bb2399245ec40b355bd421b1f3534d5905ae57b87dcc52f8f368f90 SHA1: ef7496daa351b422477e7b8b4320362224cd7ae4 MD5sum: e81602a7cb1cd357891e3172188ec357 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-pytest Source: pytest Version: 3.0.4-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 600 Depends: neurodebian-popularity-contest, pypy-pkg-resources, pypy-py (>= 1.4.29), pypy Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/pypy-pytest_3.0.4-1~nd16.10+1_all.deb Size: 136020 SHA256: d7147246e24c6f2a76137c24dcf62d77dac50fefbb097882275c258f9715503c SHA1: 2357ed56eb1c0cf316ea526d18469060e1c38344 MD5sum: b40d7d008b39f9fc4978f987a0107335 Description: Simple, powerful testing in PyPy This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the PyPy module and the py.test-pypy script. Package: pypy-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd16.10+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+nd16.10+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+nd16.10+1_all.deb Size: 121980 SHA256: 5ffc0b6b9e20354304c4352939242125e26503e53e95d986ea9ef266569e0c08 SHA1: 93af821ad9cb2776798f7fe51355a2dbc78b1f06 MD5sum: 946497e4535d7f300cf6631f1495ede0 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest, pypy Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/pypy-six_1.10.0-3~bpo8+1~nd16.10+1_all.deb Size: 11722 SHA256: f8327ad9264470f25d91c245a1d4209874bb7d47984f8522451ead235303a1c5 SHA1: 2f139138d041faebead2e77c3338d7d39f3ed175 MD5sum: 1077649801bbf70b8c3bd94e0e26aa8c Description: Python 2 and 3 compatibility library (PyPy interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the PyPy module path. It is complemented by python-six and python3-six. Package: python-argcomplete Version: 1.0.0-1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 24536 SHA256: 06103d407918360ccfc6a38799015de6ccdebad792aaf879cad98079537bea22 SHA1: ab810324d2978196450839265123789a734ae63c MD5sum: ab1d7f89a2c0dc11b83dff5baca3ccf9 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+nd16.10+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+nd16.10+1_all.deb Size: 58318 SHA256: a82b49ff0f9bf77ec468c4eb23b01ec0b7135fc36a494c441dd7c846dcc9c312 SHA1: 265658c4511d1666fd45adf0c78c20b38ff956f3 MD5sum: 215432d434e247270feecc745406d71b 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+nd16.10+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+nd16.10+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+nd16.10+1_all.deb Size: 401468 SHA256: 3aaa53d0470c849692fb527135d7a0fc313ec02133edce3d9a267681243a7524 SHA1: 44335c24779316f6d04f59caaa61947836a217f2 MD5sum: 4ae2846a6d88c6096b21c76450c0200b 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+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7360 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+nd16.10+1_all.deb Size: 1971430 SHA256: 1281f93e875bf817c37120f8c0c116b64ead3cdc78a4e4ee7737c3496f78e1d7 SHA1: 2a49c537eaaaa55f64e3992f5a615e1596ee7408 MD5sum: 8b13ee70baa56a904ef54bbba34d705b 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+nd16.10+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+nd16.10+1_all.deb Size: 80366 SHA256: bbf6767ddd59ce152f94d252e2c7a44760dea8fd53fbc4e771b55cc17ddbc4df SHA1: 6ad6f0eb484eb0631d627a35dd7a298897fe0bdc MD5sum: 80368663a8a93fd11b7be2169d81379f 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-click Version: 6.6-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 258 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python-click_6.6-1~nd16.10+1_all.deb Size: 56174 SHA256: 32d0b5e186ff972dd41c006c235d02264ac9445d39dfa4791189f44f3096a91a SHA1: f5306481f1332b056cfb87d4551dc75f5f6ee942 MD5sum: 4ed195d0c7aba265e847fd7b48554490 Description: Simple wrapper around optparse for powerful command line utilities - Python 2.7 Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 2 compatible package. Package: python-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 8712 SHA256: 5f571a3b43415f4d47dd72491d06841b9943fe3e341b43e434179101c6393434 SHA1: 95fdfd0883d8bfdd6a7c7a5d75bd68d9560d22d8 MD5sum: 555da2255c95b4b19e109db641513639 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-datalad Source: datalad Version: 0.9.1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3821 Depends: neurodebian-popularity-contest, git-annex (>= 6.20170525~) | git-annex-standalone (>= 6.20170525~), patool, python-appdirs, python-git (>= 2.1.6~), python-github, python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage | python-keyring (<< 9.2), python-keyring, python-mock, python-msgpack, python-pyld, python-requests, python-tqdm, python-simplejson, python-six (>= 1.8.0), python-wrapt, python-boto, python-jsmin, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-html5lib, python-httpretty, python-nose, python-numpy, python-requests-ftp, python-scrapy, python-vcr, python-yaml Suggests: python-bs4 Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.9.1-1~nd16.10+1_all.deb Size: 741478 SHA256: a20e6ef5e68e8a0de3c964cfb6842b044a34f695fe92abf177989bc841f63903 SHA1: 9e1e5b741426013e2339e96e1fca277c75e2efd4 MD5sum: 0f02c6ccd4dc8babe035c2505196643e Description: data files crawler and data distribution (Python 2) DataLad is a data distribution providing access to a wide range of data resources already available online (initially aiming at neuroscience domain). Using git-annex as its backend for data logistics it provides following facilities . - crawling of web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc - command line interface for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get), as well as search within aggregated meta-data . This package installs the module for Python 2, and Recommends install all dependencies necessary for crawling, publishing, and testing. If you need base functionality, install without Recommends. Package: python-dcmstack Source: dcmstack Version: 0.6.2+git36-gc12d27d-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 504 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~nd16.10+1_all.deb Size: 77448 SHA256: 56551275044a6062dfa2d2705462c0569bb9ff1f222664fac0e70b11fd927e13 SHA1: 52c044251b034525277fe516ae5c02a4ba2060c9 MD5sum: 53069b50b9fbc98d5fa0613fd5052ed0 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-dicom Source: pydicom Version: 0.9.9-1~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1573 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~) Recommends: python-numpy, python-imaging Suggests: python-matplotlib Homepage: http://pydicom.org/ Priority: optional Section: python Filename: pool/main/p/pydicom/python-dicom_0.9.9-1~nd80+1+nd90+1+nd16.10+1_all.deb Size: 357328 SHA256: 6f58c721af51dbf9eb53915d1104af05204747cc47b0255c12303dfbf4dba297 SHA1: f77214d465ebde7cb8f5a7cf7a8cb902c62f2415 MD5sum: c0bf3360e9929463da4432e375bc2f83 Description: DICOM medical file reading and writing pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. Package: python-dipy Source: dipy Version: 0.13.0-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6960 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.13.0-2~nd16.10+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~nd16.10+1_all.deb Size: 3018672 SHA256: 05d4fb0e87ea02d775ef5a6dc6cb34cfc182de8f8b151c408cde800dcf7dff46 SHA1: 793b3273333ccc4af4d0fe66ea4d949f21f6dfd0 MD5sum: 05bcd1f48b6077a35b72856c7a5760ab 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14549 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~nd16.10+1_all.deb Size: 10767296 SHA256: 76096b5a01cfa350b899087355b28be5a310dd8c7c2a0a9256a80ed381286c8e SHA1: 7813c198d3a0ed608c664b88d0f4070101265e31 MD5sum: 60a623f69f11ab7c57c2df5cd00bd233 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+nd16.10+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+nd16.10+1_all.deb Size: 27142 SHA256: d72d207cabd967d40ad9d72ec987e25e19cebc0f73f429d9f48bd9300bb3e8e0 SHA1: 7d1cd58ab2b4fb95336fb1057da4fe2028f405bf MD5sum: 3d06231cc55d2efa1f6d9f8ba46eaec6 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+nd16.10+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+nd16.10+1_all.deb Size: 10950 SHA256: b30dd24b427e9feb0c984e35079d203913968c6955052655663abfe24bd44d90 SHA1: 91a3bb4a1379c8ee27fda80622832f3d52e42e40 MD5sum: c5a3b2d3002bb64b470d194e7bf9086c 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-duecredit Source: duecredit Version: 0.5.0-1~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 234 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.5.0-1~nd90+1+nd16.10+1_all.deb Size: 49818 SHA256: 6cf2fdec71f065fd5e1be08a14acfe6a0d08c3f45a5327b1dd490622aaf79a05 SHA1: 8d9aa4122f9125290d118dc43da7662890df2bc5 MD5sum: b35d367a2c063e65153f2ffef226565a Description: Publications (and donations) tracer - Python 2.X duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python-funcsigs Version: 0.4-2~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 12804 SHA256: 086c1c22af0ca995c6f67ffbe123c92e2d175645219f64e80310548146ffa064 SHA1: 93d3504777aec69591eae0ef7bc66cc0746d3ffb MD5sum: ddc5f085ee0fc870e1500179cae14fdc 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+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 122 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+nd16.10+1_all.deb Size: 23564 SHA256: 310732f72602acc2caabb2ef3fc5177986310d97367b52ec084fe8b94d9db43d SHA1: 1dc97338b18d8ba90cb98baf0a44cb9555478ca0 MD5sum: 86c4952c68164387f806f84db09dbc21 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+nd16.10+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+nd16.10+1_all.deb Size: 335064 SHA256: a849a85e833fbcb58ee2760503a33369a0d1c911cc603ac0490a242a7a56a666 SHA1: 1b50e401a72699a57fddd5c9c6747f3889966b3c MD5sum: e3615c6e34807eb64e9d91bfd777acff 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+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1918 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+nd16.10+1_all.deb Size: 309126 SHA256: 768f48bd92058c9d37f1e6cd54a86d845a113db63f2786d57f2b11e8573bc80e SHA1: 9c4ab6e144f543a790f157dc003041657892a0b7 MD5sum: 2b5d1259ef76815abf9294289be594ce 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~nd16.10+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~nd16.10+1_all.deb Size: 303754 SHA256: cc625bb3d7318ba189af4790ddb077d20d5bc3aff401b2f883363e9e596e0981 SHA1: a3dddd142e4bee95ee60fc86607552b29217aabb MD5sum: fa5da8e271a41663bf021a147e6fb497 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 983 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~nd16.10+1_all.deb Size: 128184 SHA256: ec4a979d2152fe6b56831b0cd5bae79eb790187ab150e715f261b0e83b876848 SHA1: 6c1989efca75520af9fa432f1ff4e4793727bfd6 MD5sum: d7f7c5183249b6ccb59d93bad9db003c 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 632 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~nd16.10+1_all.deb Size: 44760 SHA256: 520e5bde2856b2a32302e9ecd84f362b8ae8109059147e05314c17cee7788f2c SHA1: 94b02f2d55446614deb2f2f7eab760b759b66495 MD5sum: 70361c5155e02c3ab5784bf7a3f461ec 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+nd16.10+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+nd16.10+1_all.deb Size: 12946 SHA256: 089f446baa463bb494d31de7ec815f983a1d425fc68cd15ed91f4924231500b7 SHA1: 9e6a89212c693c8f8b592a6021cf9d25e38e59ea MD5sum: 4f592ef85d7f51509a93cffe151de12a 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~nd16.10+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~nd16.10+1_all.deb Size: 70086 SHA256: 321b2fe4b612bd7a420805158d82c25fa47f3aa0f03291feacf727c55a392b2d SHA1: b352736389bf4926c67493bc09132c6c3ec9e0ce MD5sum: 98d1b1d05d261197f264b2ac961ec5dd 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~nd16.10+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~nd16.10+1_all.deb Size: 138744 SHA256: d038f0455ab5e296f29390b5ecc9b95965477015ace07934d5566e60a4f94321 SHA1: 4b6c184039245511388f3ded45ee61a8d72c0cba MD5sum: 1194111050b67741b577d50880c6aebc 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-jdcal Source: jdcal Version: 1.0-1~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python-jdcal_1.0-1~nd80+1+nd90+1+nd16.10+1_all.deb Size: 7746 SHA256: 973557d028b419021b2bf806e1594bf0bd8826ff3e3033c1c3ef6ad078f9c67a SHA1: d5830fd2760cb4eb044971b3264eab415d7c710b MD5sum: 3455968810ec828ee265e2bb053719b4 Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python-joblib Source: joblib Version: 0.11-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 505 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), 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~nd16.10+1_all.deb Size: 120346 SHA256: 805aa4ac4b965bd48e92ce2301a67914eda8ed16ee15df501ff716dfec4ad37c SHA1: df4323f3cde521ea9fdf4ec30c3ac61921d5ac65 MD5sum: 7470575d331f3f5de79e0eaf358efb4b 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+nd16.10+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+nd16.10+1_all.deb Size: 21572 SHA256: c73a734238f9a9070a22bb639105d916e58672879fe48d6e5b1e0b1f52e7c3e7 SHA1: 1fad50da47ba668f0eb7e0e7f20973a932a9b997 MD5sum: e0e34654f289b61aecebfb952b059ac1 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-json-tricks Source: json-tricks Version: 3.11.0-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python-json-tricks_3.11.0-1~nd16.10+1_all.deb Size: 24524 SHA256: 69fc4d156e8b1681d8396bf3567d59b36ad4375135058b2d00730879fa177ef7 SHA1: 9d370224b5c2658ad78ff5bb5a048e0ca8955395 MD5sum: e2e27986106b246a7a85b89c00d0b1d7 Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python2 module. Package: python-lazyarray Source: lazyarray Version: 0.1.0-1~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-numpy Homepage: http://bitbucket.org/apdavison/lazyarray/ Priority: optional Section: python Filename: pool/main/l/lazyarray/python-lazyarray_0.1.0-1~nd70+1+nd90+1+nd16.10+1_all.deb Size: 6984 SHA256: e4a9557b8da5fe80f0caf3e5da452a1da48440fe0a6a7e555d25f87d8806b243 SHA1: 810313c4fe3b8209cb3898e987aca12f93db775e MD5sum: 0fb7e11bda2d1861b723f331919fc4ce Description: Python module providing a NumPy-compatible lazily-evaluated array The 'larray' class is a NumPy-compatible numerical array where operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Consequently, use of an 'larray' can potentially save considerable computation time and memory in cases where arrays are used conditionally, or only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array). Package: python-mdp Source: mdp Version: 3.5-1~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1391 Depends: neurodebian-popularity-contest, python-future, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-pytest, python-scipy, python-libsvm, python-joblib, python-sklearn, python-pp Enhances: python-mvpa2 Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python-mdp_3.5-1~nd90+1+nd16.10+1_all.deb Size: 277308 SHA256: 3ee7fe3b7a8b969d4ecf9c80863d50877bf48afe5501fc922e944f09f2735fb8 SHA1: 12c8d6fa15294cf67ea221cd37e1ec75144d088c MD5sum: 5597984afeb75d33dd468cb661a31183 Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 2. Package: python-mne Version: 0.15.2+dfsg-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11266 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), 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~nd16.10+1_all.deb Size: 4978730 SHA256: 72f052ab210147048f4611abb171e15f436ca1311e072d6a607ce1e87ddbfc7a SHA1: 4601347fc9030d0d175dcd8e38e1f04b7f152a83 MD5sum: 8e822d5bf243988b13cf354ce8f28077 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~nd16.10+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~nd16.10+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit, python-mock Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.6.3-1~nd16.10+1_all.deb Size: 5101838 SHA256: 8c1a86991ac8f075f6964254fa746a0cd67c570f96c0d7e8fa33003959dedb90 SHA1: 654ef0e0dda787815f4c15b943b05b695c8f3ca5 MD5sum: e5d48eefa6818d75ba7e336b1b93270c 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36370 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~nd16.10+1_all.deb Size: 4652370 SHA256: 033a35f53d7d5334f4c41bd65eee6752008290b1c365e62efaffd4a9cc0a93cb SHA1: 3a00aece3e7523d16c6af0763cdf2e462fe5bcb9 MD5sum: 12a1e5587507cb5cb3f47dbef0099da0 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-neuroshare-doc Source: python-neuroshare Version: 0.9.2-1~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 275 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: doc Filename: pool/main/p/python-neuroshare/python-neuroshare-doc_0.9.2-1~nd80+1+nd90+1+nd16.10+1_all.deb Size: 94984 SHA256: afe627e4537b0305ec5978aae60d68e26556b206350d525a36c969b2ba890121 SHA1: cf3815567ee98aa43cf6452bd4e43e275b8080bb MD5sum: 8628a1bbee118600297f736b2a510bc2 Description: Python interface and tools for Neuroshare The Neuroshare API is a standardized interface to access electrophysiology data stored in various different file formats. To do so, it uses format- specific shared libraries. . This package provides a high-level Python interface to the Neuroshare API that focuses on convenience for the user and enables access to all available metadata and data. The data is returned in NumPy arrays, which provides a quick route to further examination and analysis. . In addition, this package contains the ns2hdf converter tool that converts neuroshare-compatible files into the HDF5 (Hierarchical Data Format, ver. 5) file format. . This package contains HTML documentation files for python-neuroshare. Package: python-nibabel Source: nibabel Version: 2.2.1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64681 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-numpy, python-scipy Recommends: python-dicom, python-fuse, python-mock Suggests: python-nibabel-doc Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.2.1-1~nd16.10+1_all.deb Size: 2201056 SHA256: 5dceb775e9220002da54bef6816b849a38d70a7517241dba2cc7e0afff1f0274 SHA1: 26655ea4ade247b960523b5c7d3fbf0c57595786 MD5sum: 20fb1392f489ed3086e50a41ab0a75f9 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20821 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~nd16.10+1_all.deb Size: 3107376 SHA256: 4575497e3d58fa923acaf531e145e9187c27a5b82751f4652c2981ff3ed6b301 SHA1: c0def4b3c991216f538cf06e37c65d044096b776 MD5sum: f61021307bfa452dfdee87b6c85c9562 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-nilearn Source: nilearn Version: 0.2.5~dfsg.1-1~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2454 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.6), python-nibabel (>= 1.1.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy (>= 0.9), python-sklearn (>= 0.12.1) Recommends: python-matplotlib Provides: python2.7-nilearn Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python-nilearn_0.2.5~dfsg.1-1~nd90+1+nd16.10+1_all.deb Size: 730940 SHA256: 3c955aeaf5ccb4f24e64ad76b2b4e5b6beb85db9e28ef22226703be54e604622 SHA1: bac6aa0541857701d81344b310844c688b647ef0 MD5sum: acf241d4e00b471fc9e30b698ac3d38c Description: fast and easy statistical learning on neuroimaging data (Python 2) This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. . This package provides the Python 2 version. Python-Version: 2.7 Package: python-nipy Source: nipy Version: 0.4.1-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3545 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.1-2~nd16.10+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.4.1-2~nd16.10+1_all.deb Size: 781106 SHA256: d96e896a8ec4de767ba09de897b8bd29a73f19749766b1f4fb6f16e6dcac6073 SHA1: c50a9f10115b3ebdeef98482a18941882eeeba53 MD5sum: c1905b5353d97e2a93a41e10702d9062 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10719 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~nd16.10+1_all.deb Size: 2859480 SHA256: 7101a77f4359c76fff77a4a74f6ddb14aac39e062d66132bda1d3a316ca995aa SHA1: 990e6b2d6b038b8f0b8229e0c44a6e74084f2d2f MD5sum: bdc0421d342b54778ec6b98d9957ba1c 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10609 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-nibabel (>= 1.0.0~), python-networkx (>= 1.3), python-numpy, python-dateutil, python-scipy, python-traits, python-future, python-simplejson, python-prov, python-click, python-funcsigs, python-pytest, python-mock, python-pydotplus, python-pydot, python-packaging, python-configparser, 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~nd16.10+1_all.deb Size: 1857550 SHA256: 97c82d92dd0e8802a2e3cd9ebe9ffa588d446865ff3d3b32695abbaaaa1ee0bd SHA1: 03f7345d5cf680d776ad6a38fd5c62bc612c7e6a MD5sum: 0d83213743c082e25b12e99a4f3af5ed 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 43268 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~nd16.10+1_all.deb Size: 19912946 SHA256: 92c18512af91bb3be5321a6f1c566f22a5d911276759096240c0884d5375b354 SHA1: 005c47bcb9b0dd3f91c743fdde85249f711f3bb5 MD5sum: 3764d675a444e8310ed4b2c2974e96d5 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~nd16.10+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~nd16.10+1_all.deb Size: 2554378 SHA256: 67b845a11f205be7355758410bd55f1ab7f3427b5c23bd036a6e151547bcee0a SHA1: 7d2b7aa8f87f8bc2dd34239825559146b9df3ab3 MD5sum: 1f5bb5ee2a28ac177a33d34c78566685 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7910 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~nd16.10+1_all.deb Size: 5711146 SHA256: 57e643f98d791f1fc0b21b736f2ff464e614295273f46d39ff723e482c5457c6 SHA1: 9cb7098badb2429fcd990ea81d1b5cf1d78c616c MD5sum: be6109915fa68e0343cf3b6c6d35b19a 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+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python-nosexcover_1.0.10-2~nd90+1+nd16.10+1_all.deb Size: 5198 SHA256: 82ed429434b358a33eba8fd838b85d5cf823d9ddff556060f84b4ae494eec0aa SHA1: 48867a8b0d2572630270f6e7fc067e27fe41b915 MD5sum: 2a9ff81dafb8b76f69865c258ea40aee 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: 2.4.9-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1525 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-jdcal, python-et-xmlfile, python-lxml (>= 3.3.4) Recommends: python-pytest, python-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_2.4.9-1~nd16.10+1_all.deb Size: 221716 SHA256: 19c394da68bedb6fc8e38c2e0f80a0fe952bb021cc3351333defa284dd59ac17 SHA1: 4f1f76f27b31be7af989dbbcc168519c1e874ece MD5sum: fb3edf8e2597cf46713539f5120707ea Description: Python 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+nd16.10+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+nd16.10+1_all.deb Size: 17076 SHA256: 4efc3f37b5c597e1c3646398bd26387d738b552793b947d49328f9bde72eecda SHA1: d3200e32d35333a0426e7c8415e9fea7f100e80d MD5sum: 404440f72f267c2de9fd973dc617a589 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: 0.19.1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25153 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-dateutil, python-tz, python-numpy (>= 1:1.7~), python-pandas-lib (>= 0.19.1-1~nd16.10+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_0.19.1-1~nd16.10+1_all.deb Size: 2586974 SHA256: dd992ccb5e16f9be1aa3ff1c3e902d974a53fd1c568f2e73c3c2fa11f2830976 SHA1: 8c442f4505bc24a924c9aae10adbf3e5e7eecec1 MD5sum: 6001e8f5e30d96f750e441f5a880c29a 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: 0.19.1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59120 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_0.19.1-1~nd16.10+1_all.deb Size: 9099460 SHA256: e8df27c095b4429ff78991927cc51a34fef3e73b6d94c64ffd90bcecdd5f8ae0 SHA1: 989056f38c96cdf1d27cbe314be4ba2c64949dbb MD5sum: 3f2b993b7bc1880f875d118ce0be129d 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 779 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-six, python-numpy 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~nd16.10+1_all.deb Size: 168246 SHA256: 8306e8b77620bd155ec84db02f235385fbee67a61fa490664876b77fd606dfa8 SHA1: 391e2742f0d883ece472e21571d9b01343970956 MD5sum: 47023f484f33c17d68658bcf1772e8ba 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1422 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~nd16.10+1_all.deb Size: 361232 SHA256: d3f9d6a3b39a74794d56cd78550de98c42bb895de5f1c16af29a4f39a9f48995 SHA1: ccb31693d947d51784fbe387e80e0eed63d6a0ab MD5sum: 0ff2a891efd282e5847417412ee64be9 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+nd16.10+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+nd16.10+1_all.deb Size: 141414 SHA256: 682d60b3b52f11fa86c90d83b211b046742038950d4f3d7b335a7cefcc994a15 SHA1: 1410d9753d406e2dbe8c462654f731e856153e84 MD5sum: 35668e5d2389a52d24a79289d98c7d85 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-pprocess Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-2~nd16.10+1_all.deb Size: 83172 SHA256: c875c3e07f2204b4a22a426d7c8c89df415d797f23d2b8e6069545456dd527fd SHA1: e2525465a40f3be802602cf0477c8f34a1cc7b32 MD5sum: 37e65fd749b7988bb8e0ebaa5aca3cd8 Description: elementary parallel programming for Python The pprocess module provides elementary support for parallel programming in Python using a fork-based process creation model in conjunction with a channel-based communications model implemented using socketpair and poll. On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Package: python-prov Version: 1.5.0-1+nd1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1951 Depends: neurodebian-popularity-contest, python-dateutil, python-lxml, python-networkx, python-rdflib, python-six (>= 1.9.0), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-prov-doc, python-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python-prov_1.5.0-1+nd1~nd16.10+1_all.deb Size: 100618 SHA256: b8d985f4238ad8deaa139f3bcc9f0d08d3606e378bf62ef2177878651f5a18da SHA1: 93238737516ecc64ecb95dc27680859712640de7 MD5sum: c99ea8d71581c47a6946e483160b8827 Description: W3C Provenance Data Model (Python 2) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 2. Package: python-prov-doc Source: python-prov Version: 1.5.0-1+nd1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 958 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/trungdong/prov Priority: optional Section: doc Filename: pool/main/p/python-prov/python-prov-doc_1.5.0-1+nd1~nd16.10+1_all.deb Size: 76636 SHA256: 2aeee990c70b45c5062f5033caa78bf32c908857a9d192822899e23d1bd1076c SHA1: 99b6cafe7c834ccb945d62dfe899f8630f7a3a51 MD5sum: a4d76b310e84cda436af0dff14749942 Description: documentation for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the documentation for the prov library. Package: python-py Version: 1.4.31-2~nd16.10+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~nd16.10+1_all.deb Size: 82190 SHA256: e4e4256fee7f02a8934553b64f3d0bc8e07060cc209354a0f64c01e2eec9efc4 SHA1: 2dbe7633da6a13ab2c805fc8cfe2378f9b58ef3d MD5sum: 63346c096eecab66fda11ff74c7883eb 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python-pyparsing (>= 2.0.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python-pydotplus_2.0.2-2~nd16.10+1_all.deb Size: 20322 SHA256: f0bcc06713e2224bc5df41330d7080f7cd30c2bfea27a900946a834529002562 SHA1: 0188b4080058fc2fac657702776fb15438857e8d MD5sum: 3244608551cac07910f20069b088a5e2 Description: interface to Graphviz's Dot language - Python 2.7 PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 2.7 module. Package: python-pydotplus-doc Source: python-pydotplus Version: 2.0.2-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 533 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-pydotplus/python-pydotplus-doc_2.0.2-2~nd16.10+1_all.deb Size: 47682 SHA256: e652381942582d862b29b8c2c2599c11f6458ebf88efd8c750f4f5da2217b4ec SHA1: 8b8e82888144d8d52a7cc68056af2ebc6a2bdacc MD5sum: 23f2b5dd0d7141533ca3aca0f6ec9313 Description: interface to Graphviz's Dot language - doc PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the documentation. Package: python-pyepl-common Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 822 Depends: neurodebian-popularity-contest, python Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl-common_1.1.0+git12-g365f8e3-2~nd80+1+nd90+1+nd16.10+1_all.deb Size: 819270 SHA256: 8921dd0754d9ea60cdf3a12add0e363d00df136ef1c492ca01709e5f41cf89fb SHA1: 7784f4c2616079bfa6399a01aa11b936e41d09dd MD5sum: 62fd58b892b33b039822dde327998e0f Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides common files such as images. Package: python-pyglet Source: pyglet Version: 1.3.0-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7027 Depends: neurodebian-popularity-contest, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libgtk2.0-0, python-ctypes | python (>= 2.5), python-future, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: libasound2 | libopenal1 Provides: python2.7-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.3.0-1~nd16.10+1_all.deb Size: 1423804 SHA256: 0711d6cac0b3413f8e5a9514059ba2bdafdf4ebfa3256a57d60e0e2933fe8b28 SHA1: eeca480dc6cb23c28f025a0d099fdd84eb4d05b7 MD5sum: 523e17b185872fd734a52eba29f100f9 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+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 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+nd16.10+1_all.deb Size: 68394 SHA256: ccdd3dc061d8453d838951d8c1cb809c78e2e816e757662145ca46630b7bda27 SHA1: 868e97c55e2cc8aff900e69c9de96fac669dde42 MD5sum: 8bf0545a3754edf2f161315f19e6df78 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 Source: pytest Version: 3.0.4-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 605 Depends: neurodebian-popularity-contest, python-pkg-resources, python-py (>= 1.4.29), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mock (>= 1.0.1) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python-pytest_3.0.4-1~nd16.10+1_all.deb Size: 136424 SHA256: ae61c7108d1724667f5f04ee3b05f5418495afb666e64480023642822bde0d62 SHA1: 8cffc488109499302999b97a1237ed5d590a4420 MD5sum: a83aae83214e23f07fbf84e35fd205fd Description: Simple, powerful testing in Python This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the Python 2 modules and the py.test script. Package: python-pytest-doc Source: pytest Version: 3.0.4-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3985 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-pytest | python3-pytest Homepage: http://pytest.org/ Priority: optional Section: doc Filename: pool/main/p/pytest/python-pytest-doc_3.0.4-1~nd16.10+1_all.deb Size: 622716 SHA256: f6c92a96d13c986628068601229005eb4e6b14f8e2f2022540f1dc8acac99b02 SHA1: 749d3b99d7e5b909371845ff892a24b0f1052f26 MD5sum: 75f4107eb50b4161bd6fd4b2e568233b Description: Simple, powerful testing in Python - Documentation This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package contains the documentation for pytest. Package: python-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 5680 SHA256: c1fdbac2f03a4f065787d5356136159876c160de19ab8a7b0ff00e2bd71b01c7 SHA1: 6dc793e89babee8e7d53016fe51b448a2fc21af2 MD5sum: 9bd282a517423365a5ea93e8536f24f6 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-quantities Version: 0.10.1-1~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 319 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-numpy (>= 1.4) Homepage: http://packages.python.org/quantities/ Priority: extra Section: python Filename: pool/main/p/python-quantities/python-quantities_0.10.1-1~nd70+1+nd90+1+nd16.10+1_all.deb Size: 49778 SHA256: 391a4a4df7a8fa9f87dcfe5f9f2eb37f8d1c94cd94b6c372ad37c07a9eebc996 SHA1: 64ab4a2bc6da5d6b69140ac574fc0db12623317e MD5sum: 0e43be0a8bdf2b7094747b3b547df675 Description: Library for computation of physical quantities with units, based on numpy Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. Quantities builds on the popular numpy library and is designed to work with numpy ufuncs, many of which are already supported. Package: python-rdflib Source: rdflib Version: 4.2.1-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1240 Depends: neurodebian-popularity-contest, python-isodate, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-sparqlwrapper (>= 1.7.6~), python-html5lib Suggests: python-rdflib-doc, python-rdflib-tools Provides: python2.7-rdflib Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python-rdflib_4.2.1-2~nd16.10+1_all.deb Size: 238040 SHA256: 7642c218dcfde52f7de9861becad685fcd9c6b61465d81ee700c34c8f36c96be SHA1: 6d57a60c0ee0d52d5da134cd101a932d5a0728f9 MD5sum: 360f8c41818a3fb7d95d67042ac02699 Description: Python library containing an RDF triple store and RDF parsers/serializers RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains the Python 2 version of RDFLib. Package: python-rdflib-doc Source: rdflib Version: 4.2.1-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8157 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.4.8-1) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: doc Filename: pool/main/r/rdflib/python-rdflib-doc_4.2.1-2~nd16.10+1_all.deb Size: 589198 SHA256: 57baa851a1099a6d7f9471dd2b8c5d19d2192f44c1d0b09cd8fef12c2e867c04 SHA1: 8bf933a8b919240764f16c6a371a1417d41f7a60 MD5sum: 871960e931c3879ad04040e95b7c3c41 Description: Python library containing an RDF triple store [...] (documentation) RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This is the common documentation package. Package: python-rdflib-tools Source: rdflib Version: 4.2.1-2~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 Depends: neurodebian-popularity-contest, python, python-rdflib (>= 4.0.1-1) Breaks: python-rdflib (<< 4.0.1-1) Replaces: python-rdflib (<< 4.0.1-1) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python-rdflib-tools_4.2.1-2~nd16.10+1_all.deb Size: 11846 SHA256: a27dc1fbc95fd66006da2c6d34ed25c29b1ec1205876a6d81eb04b25285182d1 SHA1: 07b79a3099d4f1f6954fc5c71b7300973b956579 MD5sum: f7fd79d5deafd8a2120fc2535b3a9307 Description: Python tools for converting to and from RDF RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains some executable tools. Package: python-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 68174 SHA256: a5306b0cd7102a95ce0cefd7c69ffcf593a815a72d08a9f12f023062392c48b4 SHA1: 5e922c4d66a499378c6abb5e7e89654811569b59 MD5sum: f194604b52375d941726bc205a694333 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+nd16.10+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+nd16.10+1_all.deb Size: 319076 SHA256: 8632791116aa6f989af4cb51af00b90b37e09027fb6c5fe4ab34d2e9c8e7de13 SHA1: 30bac388e0d2775bf6f9127938170e15df321de3 MD5sum: 62265d4999b799643c3cd7d52f620e93 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 127 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.4.8-1) Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: doc Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd16.10+1_all.deb Size: 24354 SHA256: 03ece9d40d15573e765826a5e0cb2fede24aea6c32224f1b9d646150a1cc957b SHA1: 6ded8d37eb1fb0a417b6287ae592be3d29ba58db MD5sum: 2bdca8a7db016c8733c79c5f7faf30d4 Description: documentation for rpaths rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the documentation. Package: python-scikits-learn Source: scikit-learn Version: 0.19.1-3~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.19.1-3~nd16.10+1_all.deb Size: 85548 SHA256: 8a12568bfd682a5f701dc7b02e5e60d9a6648c1d4bf03823b572754dc391763c SHA1: 525d4d1c66b6be9051f3596cebe4c2d94c553e9a MD5sum: 384598b66d624b52ca5c53a146220c99 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-seaborn Source: seaborn Version: 0.7.1-2~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 766 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-pandas, python-matplotlib Recommends: python-statsmodels, python-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python-seaborn_0.7.1-2~nd90+1+nd16.10+1_all.deb Size: 128204 SHA256: c08056497a61e33a9f9e7f491e3406195d05a92561263e7336e83bdd79d7e750 SHA1: 917f1906d53817625390d900b0c41ac232443896 MD5sum: 4d5ee0f7eeb4fcb7cd4a6c4c6b02e64f Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 2 version of the package. Package: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd16.10+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+nd16.10+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+nd16.10+1_all.deb Size: 202908 SHA256: dfcab5d32e99e90d20081ae4f6513ed5283d5dcbc5ed938850ef919365f01e52 SHA1: e6c8b45229f3c93cff5f248a9c4b38b1288ca59f MD5sum: 86edb68d78fffe51dfc41477dd743be5 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+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1151 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+nd16.10+1_all.deb Size: 200492 SHA256: fb1e423822a939f2f7e39aeca841043020311bfa1cbd996ff4ce9bade1ffeb8c SHA1: 5afdcba568a9d2d9d8f186f918377f808dc66df8 MD5sum: bbee00b189ee0fc44b8482d8197030fd 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+nd16.10+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+nd16.10+1_all.deb Size: 10226 SHA256: 7fab11b82192510bb9fe3cb7c417b1fc7b85613f34e2fa27b6237718bbbd928d SHA1: a5335abbd69a6e89ab40f19a4cd268e4669e9a0b MD5sum: 02960ab5cddf21de56356e69300e6a9d 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.10.0-3~bpo8+1~nd16.10+1_all.deb Size: 11738 SHA256: d7d0eaa92508856ae7188526eb4b26781759b8ef910a2a993524a6b475e2e254 SHA1: 207de16057a2c63a0eb0c1327f4bdd78c084d8b0 MD5sum: 65af7495f42b787aad734863659026ea Description: Python 2 and 3 compatibility library (Python 2 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 2 module path. It is complemented by python3-six and pypy-six. Package: python-six-whl Source: six Version: 1.9.0-3~bpo8+1~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 21 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six-whl_1.9.0-3~bpo8+1~nd90+1+nd16.10+1_all.deb Size: 13306 SHA256: 596ab213d394b08b2c23a83b99a96139d32ccf6fb7624bd3ac6670bd6eb341b5 SHA1: e4525d514c25a172f6e29551ace2684735ff6910 MD5sum: b2e7b0e76760a04777b7c273a8421f23 Description: Python 2 and 3 compatibility library (universal wheel) 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 as a universal wheel. Package: python-sklearn Source: scikit-learn Version: 0.19.1-3~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7020 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.19.1-3~nd16.10+1), python-joblib (>= 0.9.2) Recommends: python-nose, python-pytest, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.19.1-3~nd16.10+1_all.deb Size: 1456578 SHA256: ebd5f6521a6787793b9de25637967571e6c0cd86f9eb81b5dd398f17a44152b2 SHA1: e436473a58a17e9be0661d6a3de031aecc161aa0 MD5sum: 474dc36bf025a455fff9f0d8500c7ec2 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: 0.19.1-3~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 33145 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.19.1-3~nd16.10+1_all.deb Size: 5047662 SHA256: d47ee217deab173cbcf58acf0a4a2cb27297c0b97b787636cb2b7779b347e685 SHA1: 15077df1848edd36fbac8ee68b27a73f545d67ac MD5sum: 7da164a6c69e721f50cde0447635e896 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), 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~nd16.10+1_all.deb Size: 20080 SHA256: b35ed12cd98b0b01b6b377ed3057edd66a1ea6294ad418ff86185233c3e23d14 SHA1: 92bd34798199cb83927f9469a45aef670a1dbd3c MD5sum: dad2a9d7d39161366fbae1c41e0d88f9 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-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-rdflib, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python-sparqlwrapper_1.7.6-3~nd16.10+1_all.deb Size: 22154 SHA256: f67e9698585def43ce0cb843da98688250bf4980813d56d5466d9a7a76ef9f2f SHA1: eec079be52007a036e25b3b0a097610c776a29fa MD5sum: 3c377e1fd34d8a0dbf14827d89241dc7 Description: SPARQL endpoint interface to Python This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 2 version of the package. Package: python-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 117214 SHA256: fb3df44ab4217063f239d7a652b4847ad6de09ac2aaf88a92ea3cced92406871 SHA1: cde72e7b7a7b2761d53d6d2ba05d55909190ec8f MD5sum: c7b59d2e1453a7787cc3c1050a09076b 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-spyderlib Source: spyder Version: 2.2.5+dfsg-1~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4185 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), libjs-sphinxdoc (>= 1.0), libjs-jquery, libjs-mathjax, python-qt4 Recommends: ipython-qtconsole, pep8, pyflakes (>= 0.5.0), pylint, python-matplotlib, python-numpy, python-psutil (>= 0.3.0), python-rope, python-scipy, python-sphinx Suggests: tortoisehg, gitk Breaks: spyder (<< 2.0.12-1) Replaces: spyder (<< 2.0.12-1) Provides: python2.7-spyderlib Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: python Filename: pool/main/s/spyder/python-spyderlib_2.2.5+dfsg-1~nd80+1+nd90+1+nd16.10+1_all.deb Size: 1626678 SHA256: 9cc0be60a29b927f3e83f08aaf6bd86f029068198eb91e196d650c3cfdf105c3 SHA1: ec9ac5c0770be808ebfbb57cbe5f46c8d9e82616 MD5sum: 3c2935e24248a2c53f56d6eaf087bf65 Description: python IDE for scientists Originally written to design Spyder (the Scientific PYthon Development EnviRonment), the spyderlib Python library provides ready-to-use pure-Python widgets: source code editor with syntax highlighting and code introspection/analysis features, NumPy array editor, dictionary editor, Python console, etc. It's based on the Qt Python binding module PyQt4 (and is compatible with PySide since v2.2). Package: python-statsmodels Source: statsmodels Version: 0.8.0-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15922 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-statsmodels-lib (>= 0.8.0-1~nd16.10+1), python-patsy Recommends: python-pandas, python-matplotlib, python-nose, python-joblib, python-cvxopt Suggests: python-statsmodels-doc Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Provides: python2.7-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels_0.8.0-1~nd16.10+1_all.deb Size: 3316782 SHA256: 67a2304f92f741b31533ea2e505b55602b32b9ea27fa75e6521540f740569f3b SHA1: 5fe0992f3c6c4273ed0c3c412309e157a7ae55dc MD5sum: 458d47b1736adebef0ddaa648b00f4df Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python-statsmodels-doc Source: statsmodels Version: 0.8.0-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 55622 Depends: neurodebian-popularity-contest, libjs-jquery Recommends: libjs-mathjax Suggests: python-statsmodels Conflicts: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Replaces: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: doc Filename: pool/main/s/statsmodels/python-statsmodels-doc_0.8.0-1~nd16.10+1_all.deb Size: 9712566 SHA256: 594f386c73c8da21f0b4116c5153663dac964de376648d59bb5cfd310b3fe451 SHA1: 34cb914a0958d0db9f317a9c312641704cca158a MD5sum: 8863f5ff4e32f5a90b00181d15ef9c15 Description: documentation and examples for statsmodels This package contains HTML documentation and example scripts for python-statsmodels. Package: python-surfer Source: pysurfer Version: 0.7-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 197 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-nibabel, 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~nd16.10+1_all.deb Size: 42476 SHA256: b1d8c35243e9d5112b142033498f7d0d3c98d4b4031ef33074c3ca7b3fbb8cfe SHA1: a8757412c9dbcf3caec14afb030a22b192244c9f MD5sum: 412a532b4f7268290b0e0baf68dcbb3e 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~nd16.10+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~nd16.10+1_all.deb Size: 49618 SHA256: a0cb197908d18ad55ddd8be00558aea82affb948730f9eea8722c1326e49187f SHA1: ac2787886c417bc9b438f771886f03e60c619371 MD5sum: 4b11393df8043a8e5d0ada29ee522e63 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-tz Version: 2012c-1~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, tzdata, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python-tz_2012c-1~nd70+1+nd90+1+nd16.10+1_all.deb Size: 31004 SHA256: d55080182c2a7d6951bbe791e6f44091cc9f705f89c64a8ce63aa2d3c7447783 SHA1: a392f52ab1a27c0783560d8ba47e51d42d41cb95 MD5sum: a8b52f7cc7b651e9447ef859b87430b1 Description: Python version of the Olson timezone database python-tz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo). Package: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 65406 SHA256: 17287b194d30eb117e97c1be79095bd66fb47caefc034226a88438f198738e3c SHA1: b83a07793a32f2ae9090dc1e01681144412cf4df MD5sum: 12212f63ebb13e1c5ba05537df824a07 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+nd16.10+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+nd16.10+1_all.deb Size: 92888 SHA256: 524f362bc53c345383b9f735dc58ac150fcfd94f81c00236600c903dcc386b74 SHA1: 13f08b5a43876eafde3422450eb462107ffe49f0 MD5sum: 2017cdba0b28a4c8cc296ff8db197cdd 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+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 157 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+nd16.10+1_all.deb Size: 43764 SHA256: a4f7cbe3c21f1f97433209512d1c2e19b9aad92fc817cdfc9503d881fa264c4a SHA1: cffc25f6d9ce708669a0f4e0d2e7b77d93c70c5e MD5sum: 4db13360454e11b408c44bb7615e097d 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+nd16.10+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+nd16.10+1_all.deb Size: 14094 SHA256: bedc3861af978e1016f03a8f89b9e48542f4f64415a53b25f620838bcaa750e5 SHA1: d5f5c25de44ab9d96358d2abaecdd1fd545aea41 MD5sum: f2760a95d55bca258cc3a07d632da490 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+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), 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+nd16.10+1_all.deb Size: 163882 SHA256: 09286dc883240d689fdecbb6ad9e37d0bfb993596cdaa769edc12fa760606bd8 SHA1: 269ff498e11ed6841a6e94807d8bfdeb34d9488e MD5sum: c9f087748592dd4be76c9d868ab82ce6 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+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2740 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+nd16.10+1_all.deb Size: 877578 SHA256: 3ca3cd649f42945ea237c9ac196634ed41a57a4d707ee710c5507745f08f02e7 SHA1: 8a0c6c6bea5332434c234b78d3a88b0dbc52983c MD5sum: 15abf1eaa6575ce89203bb51ab47c6f7 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python-whoosh_2.7.4+git6-g9134ad92-1~nd16.10+1_all.deb Size: 290748 SHA256: 18a1aea1cc556dfcdc026d7dd3402d8a9da92accc80702b1b265dfbf07b78608 SHA1: 62cbe449395f35bc6d96c70c539a4d7c38713e3b MD5sum: 8f1f1e8eb42f440e7c991560d6238178 Description: pure-Python full-text indexing, search, and spell checking library (Python 2) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python2 library Package: python-whoosh-doc Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2218 Pre-Depends: dpkg (>= 1.17.14) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Replaces: python-whoosh (<< 2.1.0) Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: extra Section: doc Filename: pool/main/p/python-whoosh/python-whoosh-doc_2.7.4+git6-g9134ad92-1~nd16.10+1_all.deb Size: 242488 SHA256: 8a79e85853aef625e9c45e3585cf21569b4c9f6ba30d6b1993e1caa7a4074ef5 SHA1: d83c5d50324302ec657b6df5c0ff7197e8ed4eae MD5sum: f585674764ee3426557485866d9dbf96 Description: full-text indexing, search, and spell checking library (doc) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the library documentation for python-whoosh. Package: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 465 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: doc Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd16.10+1_all.deb Size: 51954 SHA256: 05dcf728c1a633f29072bced4962c9c546be594928b3c10c2a38824f6521d33f SHA1: 411b680fbe227e0ea8ebe7f7bf984bbdb3b6f011 MD5sum: 73bf45d7d19f60f49809f451a5a88989 Description: decorators, wrappers and monkey patching. - doc The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the documentation. Package: python3-argcomplete Source: python-argcomplete Version: 1.0.0-1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 21058 SHA256: 529002a3efd7c9a667f1445f64bb100abc0309a8073bc2ad1ff623e62c054395 SHA1: 47e5852883842ca11c1353a62af90bd5ebaaa955 MD5sum: 7f22ad2e339e735d7749a8bebd04d5c3 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+nd16.10+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+nd16.10+1_all.deb Size: 58092 SHA256: e53ee91f14924ec8d571d01f800ae277cf0480458d4a3501971e6f19c9d85706 SHA1: f1e68c69b4060f171471c3e95ecbab133ccad44c MD5sum: 0b20e091f94744b50f8336e8d5384a11 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+nd16.10+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+nd16.10+1_all.deb Size: 81970 SHA256: 3d98f7f77fd5328c9ccf83628b8e9d50db4f06c23bf60f7add98e768edd7c006 SHA1: 580f269b9df64df164a4bb3d728fc07b200cab6e MD5sum: 2989aeeef67dddce028e59f2bdf19f42 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-click Source: python-click Version: 6.6-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 258 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python3-click_6.6-1~nd16.10+1_all.deb Size: 56250 SHA256: 4447a544b603f966204d9e2fb175df83c81769c7f7fe3aa6de425fd9b66ed860 SHA1: 235894dc54c7fddd1c2696390855e99cecc3fcc2 MD5sum: 9003dbb977789a8ccef55badbe49b1de Description: Simple wrapper around optparse for powerful command line utilities - Python 3.x Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 3 compatible package. Package: python3-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 8784 SHA256: 0b943bffdfcf4356d42322b5522b510aa8b8c97a912d69787fd30f262645f8d1 SHA1: 98b3bc7f4a8df989a26591ecfd8aec07573a7fea MD5sum: b82ab867e70a8c24de5eeecc33e61e07 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-datalad Source: datalad Version: 0.17.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4665 Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, p7zip-full, python3 (>= 3.7), python3-annexremote, python3-distro, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3-importlib-metadata | python3 (>> 3.10), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-mock, python3-msgpack, python3-pil, python3-platformdirs, python3-requests (>= 1.2), python3-secretstorage, python3-simplejson, python3-six, python3-tqdm, python3-chardet, python3-packaging, python3:any Recommends: python3-boto, python3-exif, python3-html5lib, python3-httpretty, python3-jsmin, python3-libxmp, python3-lzma, python3-mutagen, python3-pytest, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, datalad-container, datalad-crawler, datalad-neuroimaging, python3-bs4, python3-numpy Breaks: datalad-container (<< 1.1.2) Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.17.5-1~nd+1_all.deb Size: 958872 SHA256: 1f3e16c16863bab40ba92405109ab26c78f19e3e86e2b38733a035221c4e7744 SHA1: 873da190eb5ee83576ff519c2d564e1f841abe5b MD5sum: 7a97a6f55929cc103dd60d7783a9565e Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-docker Source: python-docker Version: 1.7.2-1~bpo8+1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 27246 SHA256: 877c687cc2910c8dec4798986e18c173428e9ee166aef0b8b6846589a2354bf4 SHA1: f9b5e55f98965e2a99fb10e087d4e9f3ab206d36 MD5sum: 56a2042e76a7d231b4de4f46202979f9 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+nd16.10+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+nd16.10+1_all.deb Size: 11034 SHA256: d88935aa5046a86d35aed010c2f79475293d31ea35b027f90f294049389b26a6 SHA1: 52ef97b6fe1630aa5f82dee02b0b5928c57fe209 MD5sum: e1429da6ce765004681eaa4d886a390d 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-duecredit Source: duecredit Version: 0.5.0-1~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 236 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.5.0-1~nd90+1+nd16.10+1_all.deb Size: 50078 SHA256: c9070c34d82957bf9876812646bfb62931ef96ed50acc4759e144497098ac28f SHA1: 65371bc26c3f6e4537aa20239105aa959363f9a7 MD5sum: d422938d80078e9c5ebfbe27b8f9fc5d Description: Publications (and donations) tracer duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python3 -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python3-funcsigs Source: python-funcsigs Version: 0.4-2~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 12876 SHA256: 84c75ae6aa3b8390610e12ed1d3a78cfcaae1e40fa56799f421059bad22fa5d4 SHA1: 91538da24fc01f6266b5eafd2a143d20a60c87d4 MD5sum: 447837facdaf86a4ef63c38876422859 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+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1650 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python3.5: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+nd16.10+1_all.deb Size: 333192 SHA256: 9321b80dac6fbca0d69f78325ad594d5536d82c8f294e35aa39f2dce7c98ba40 SHA1: 894cebb0e2924b00322a06c31db526963fa7d754 MD5sum: 514b919ece55bc77eff2b3a0b3c1692b 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~nd16.10+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~nd16.10+1_all.deb Size: 303484 SHA256: 8460db66ce592c040070c6cfc873ee9cb74694a0b63262084ebaca8c737e70fd SHA1: 8c2172b333ee9998359d67fe828f758b694442af MD5sum: b44b99fd478801913798ddef14dc0181 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 629 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~nd16.10+1_all.deb Size: 44852 SHA256: 00ed366755a1bea921d436d66b42e36fe51f0b63b68c54b78a4561a4a434b6c5 SHA1: b1f25357a92ac2a048810b7f6fc280e7328a2466 MD5sum: 5113901e3de00a707ead1cf578b684bb 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+nd16.10+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+nd16.10+1_all.deb Size: 12734 SHA256: 0d8947e66571d4289a5adfc0f11cbf9fda3a05c96c14750144377c5de2f2a2e6 SHA1: 68ad97e21959666661f7c3622bf405ce9c08a553 MD5sum: 1bed5eac8a7ffb3711a339da41798bd9 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~nd16.10+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~nd16.10+1_all.deb Size: 70150 SHA256: b025597da5881f64a910d2ba573ba1f07801be14c5249938dfa7183f9504b7ce SHA1: 46367133ab54d6669f882d6b12835e4da5d2fb54 MD5sum: c2baf3897c22bd11cf607967c44627e7 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-jdcal Source: jdcal Version: 1.0-1~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python3-jdcal_1.0-1~nd80+1+nd90+1+nd16.10+1_all.deb Size: 7562 SHA256: 78d0adc8ae6cfc72ad1cf41043d8981bc61e9f2f8a10d42e4b3e8619b99107a2 SHA1: 9ac9122a29423708f989c0778cc6e9366a93a8b3 MD5sum: 4909a9fb440a706a97c447eb0f9957a5 Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python3-joblib Source: joblib Version: 0.11-1~nd16.10+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~nd16.10+1_all.deb Size: 117594 SHA256: 93b1da97fd232ff29fa2949b66465c36e4ecaa0fd3fd9fbf6b79b9fe366a8a97 SHA1: 3601c89ddf2ab0121576210d8bc9a56b03a84db0 MD5sum: a4e099f2e14cc3ccc6eab0cbf1a13bba 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+nd16.10+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+nd16.10+1_all.deb Size: 21658 SHA256: d934476edae5e7cec18ac86f7d598195cde67ac4401d37ac428292049761bf7c SHA1: 33ee5b68626dc3ebcc7dd215c15c296bdb9436db MD5sum: 30b4808291c078e91e1b99307ef6e0c4 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-json-tricks Source: json-tricks Version: 3.11.0-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python3-json-tricks_3.11.0-1~nd16.10+1_all.deb Size: 18902 SHA256: 753b7c9f681e8b9adb8057b17720fefa8219008b2397a1d327890ad65e88a45f SHA1: 076690823f1df6a21be098598c19ec6fcefc661f MD5sum: 382d6deabffaa8303a77300a897b35ca Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: python3-mdp Source: mdp Version: 3.5-1~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1387 Depends: neurodebian-popularity-contest, python3-future, python3-numpy, python3:any (>= 3.3.2-2~), python-numpy, python-future Recommends: python3-pytest, python3-scipy, python3-joblib, python3-sklearn Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python3-mdp_3.5-1~nd90+1+nd16.10+1_all.deb Size: 275086 SHA256: 799916af36882359154f08d9debed8011dc26aed326f655800b61098eaf565bd SHA1: 52fe8b8eb0b512085c64d61cc726b581a289bfea MD5sum: aac04e329c35e21ff63d38ee62957560 Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 3. Package: python3-nibabel Source: nibabel Version: 2.2.1-1~nd16.10+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~nd16.10+1_all.deb Size: 2193262 SHA256: e223ce5894f08f916d87d9f7a98082dcdd94f2838a1850e7cfce7a3237fd51f2 SHA1: 67a27985a19bd8f666ce6e0bbf1d55722d0f76c4 MD5sum: fdc5dc56d1a80d5d26aa369d5e11548f 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-nilearn Source: nilearn Version: 0.2.5~dfsg.1-1~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2190 Depends: neurodebian-popularity-contest, python3-nibabel (>= 1.1.0), python3:any (>= 3.3.2-2~), python3-numpy (>= 1:1.6), python3-scipy (>= 0.9), python3-sklearn (>= 0.12.1) Recommends: python-matplotlib Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python3-nilearn_0.2.5~dfsg.1-1~nd90+1+nd16.10+1_all.deb Size: 686434 SHA256: acb565c7fd01312bc43f039a25322d06be23ac1c255ff3fce06b406e201807ff SHA1: b0dc19128a9c51ec85b8161d96ab9b307d32021d MD5sum: 2347e57bb9aab0fee48f7eafffefba38 Description: fast and easy statistical learning on neuroimaging data (Python 3) This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. . This package provides the Python 3 version. Package: python3-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 5256 SHA256: 8979e30d3afe48366eeb534b8881041798c9cf4c7749f0a84db58783e89013ad SHA1: 2412099ec8f986ce46065f7407b3b7d2bf241144 MD5sum: 659c5e287a7d60e0e5eed4b568db05a3 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: 2.4.9-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1521 Depends: neurodebian-popularity-contest, python3-et-xmlfile, python3-jdcal, python3:any (>= 3.3.2-2~), python3-lxml (>= 3.3.4) Recommends: python3-pytest, python3-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.4.9-1~nd16.10+1_all.deb Size: 220768 SHA256: 030b9537e6f2a5ad06c5368b67424f8d83f71034f2574c138ddbb8803915eb0b SHA1: 119963bfaa663eb9f6186a9c75c3b8c6be1fbbce MD5sum: 97fba8914d237868b2f71dde2c535a3d Description: Python 3 module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python 3 module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python3-packaging Source: python-packaging Version: 16.2-2~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 17164 SHA256: a562ddc902de4ff3be275724d81abdf7b7e64e755070678652b9b2adf4ca1784 SHA1: a28f93c9034748bbb4aecca2471b39651241f8a1 MD5sum: 7820f65f330e1b92edbd9c0c99fc4605 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: 0.19.1-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25151 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.19.1-1~nd16.10+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_0.19.1-1~nd16.10+1_all.deb Size: 2586886 SHA256: c23d088ef33ce4c5a3833c5174a97b5e801db727b558b91d813badda0ccbf438 SHA1: 8a39e98b1830b0142e42fb7bf524a4a925568d0d MD5sum: e9a008016d16b86f976f51d2b3a6e41b 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~nd16.10+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~nd16.10+1_all.deb Size: 168126 SHA256: de8556b4f529a0d8ad482a54b6bda520a41905d998a5130d1c18886e196bf44f SHA1: 3df0769ba3ad9c85d47448594e451e53331ef3ed MD5sum: da84955b18faded3afbe7ba51e9d6ebb 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+nd16.10+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+nd16.10+1_all.deb Size: 112058 SHA256: b88e60757208250934b1e161cdda0141496b5f873fd2dd26b113730676209e32 SHA1: fa535382071316b9eb5c92bf7f0cfb657859461e MD5sum: 1b8b6d18f16a21f9b5e27a4bcc1aca75 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1951 Depends: neurodebian-popularity-contest, python3-dateutil, python3-lxml, python3-networkx, python3-rdflib (>= 4.2.1), python3-six (>= 1.9.0), python3:any (>= 3.3.2-2~) Suggests: python-prov-doc, python3-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python3-prov_1.5.0-1+nd1~nd16.10+1_all.deb Size: 100790 SHA256: eda116fc858ae257731653425cbc4fc70fb7315125715f84d5a2e9a15e5d35c9 SHA1: 655f5be48a6e1709b647bf7f49b6ffd768aef9c2 MD5sum: 8913f06d2daac4bde60b70f45c4079f7 Description: W3C Provenance Data Model (Python 3) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 3. Package: python3-py Source: python-py Version: 1.4.31-2~nd16.10+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~nd16.10+1_all.deb Size: 82266 SHA256: 93a871d794865271a17dc3f2638614e15ba7800b8e3f7bf5d361c17b6831f63b SHA1: 08a0f744d30c58db5a8d98f09eb94b9c931a6c4d MD5sum: 55c1180ad65c47f7dc995de90be36542 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python3-pyparsing (>= 2.0.1), python3:any (>= 3.3.2-2~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python3-pydotplus_2.0.2-2~nd16.10+1_all.deb Size: 20402 SHA256: 109cf12269bab55a82c280b1d922ab95cf47ead0951e7483d2e87d6db6fbe4ae SHA1: 31fdf098923e50a5690db9d29506c819a86e463a MD5sum: f83f3759a21211f2c396b30e3a4168bf Description: interface to Graphviz's Dot language - Python 3.x PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 3.x module. Package: python3-pytest Source: pytest Version: 3.0.4-1~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 604 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3-py (>= 1.4.29), python3:any (>= 3.3.2-2~) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python3-pytest_3.0.4-1~nd16.10+1_all.deb Size: 136278 SHA256: 69fa78bdfdb5d5fc7248151e3dfcf1f2de57b5ad9a6a3b309d63de4ba025e07f SHA1: 15c47a34347fc4c65e0429669e850b115998ebd5 MD5sum: 9309b456aad98782686c2053fafcc970 Description: Simple, powerful testing in Python3 This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the Python 3 module and the py.test-3 script. Package: python3-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 5754 SHA256: 44f69d319e278a818b18dff18846ad2bd4aaedf3799d8cdc7908edadc23fbdfc SHA1: 24d93138c5eea6a3a952faec4f324ca23146122e MD5sum: c31521f7a50f5ad4d5c77682746f2f05 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1237 Depends: neurodebian-popularity-contest, python3-isodate, python3-pyparsing, python3:any (>= 3.3.2-2~) Recommends: python3-sparqlwrapper (>= 1.7.6~), python3-html5lib Suggests: python-rdflib-doc Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python3-rdflib_4.2.1-2~nd16.10+1_all.deb Size: 236730 SHA256: db9dec2d407ae2787996462c3fd775921bf5c1b21ea7746868075533a7fc0cc7 SHA1: 4f827c396ac390ce7218da712f2e693f236d59b5 MD5sum: 50d98931750dae9df2dc7de136c0c92e Description: Python 3 library containing an RDF triple store and RDF parsers/serializers RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains the Python 3 version of RDFLib. Package: python3-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 67982 SHA256: c5c48fdf56373879ff0a8a7469c124b62510fbe818f083e948acd5e9e833aa9e SHA1: a8e80e1e8a8544e4d8fa2a2bc2eda1069d9b32ea MD5sum: 42ddfa54ae89169a98a7e4fe9f86b003 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-rpaths-doc Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: python Filename: pool/main/p/python-rpaths/python3-rpaths_0.13-1~nd16.10+1_all.deb Size: 12866 SHA256: 903d6e377acfa41416c78861f37347f27787709a15b98f24cbea63fdb0d17d09 SHA1: f9ab8c5a2871155718a6cec6d93f82ebfdb23220 MD5sum: d8d631ca51b3db9d2234ad5edcff0aca Description: cross-platform path manipulation library for Python rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the modules for Python 3. Package: python3-seaborn Source: seaborn Version: 0.7.1-2~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 766 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-pandas, python3-matplotlib Recommends: python3-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python3-seaborn_0.7.1-2~nd90+1+nd16.10+1_all.deb Size: 128292 SHA256: 099ae2510d43588d8940fe74003a2b5c9f7c26623a4ddee2128e3a83385774e1 SHA1: 3444aae4448196c9a598e0fddead3af1daaf1efd MD5sum: 462f48db7ae61349ed289f9e5e1a793f Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 3 version of the package. Package: python3-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd16.10+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+nd16.10+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+nd16.10+1_all.deb Size: 121982 SHA256: 00ae9396252270a2e1b4e0fb85525430b08b74d009f0c90968f962146cda2c99 SHA1: 9a0db0988328024af236f5ff63f9d44f30e9ee35 MD5sum: 27e6232ca61b76f60c21dd1b33a2e3d6 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+nd16.10+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+nd16.10+1_all.deb Size: 10286 SHA256: ac98821326eedf85d2479406dabcb34cca69d2baf9c7b0a8de1408ffec9f9d7b SHA1: dc08ad580239f5cd81b81eeffb4c13e7fab6d794 MD5sum: b68447856c45af2e08b139075a796288 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.10.0-3~bpo8+1~nd16.10+1_all.deb Size: 11806 SHA256: cd3f5393d91d7a1fa195de718d5dc3864b177911a192735db50fdc2c5f246b42 SHA1: 24cd769f947d17d22686059430a1e24f9d4caca1 MD5sum: 903de41fa224b9cce6e216852c4c73c3 Description: Python 2 and 3 compatibility library (Python 3 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 3 module path. It is complemented by python-six and pypy-six. Package: python3-sklearn Source: scikit-learn Version: 0.19.1-3~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7019 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.19.1-3~nd16.10+1), python3-joblib (>= 0.9.2) Recommends: python3-nose, python-pytest, python3-matplotlib Suggests: python3-dap, python-sklearn-doc, ipython3 Enhances: python3-mdp, python3-mvpa2 Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn_0.19.1-3~nd16.10+1_all.deb Size: 1456490 SHA256: be69b02da447fa4b4064646fd2b1a70aef9584f2f3638fc8e807a15590a608c2 SHA1: 56a9e4fbb55dc55a8715eb4e47ed10dd80adba9b MD5sum: b6c4392ecbc6f0a17c9c921521109160 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~nd16.10+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~nd16.10+1_all.deb Size: 20154 SHA256: c680044b5d4e9110ca8e5f23727ccf798c5f7e6ff1d9fa14fa9ffca8be96e151 SHA1: 0fdec56eda372e27d0dfa5b1390b2b95e7107899 MD5sum: f0c1bee9ef223bf85144ad3b955a3c74 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-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 86 Depends: neurodebian-popularity-contest, python3-rdflib, python3:any (>= 3.3.2-2~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python3-sparqlwrapper_1.7.6-3~nd16.10+1_all.deb Size: 20738 SHA256: 36093261a89c7467e3f6df6c0920f811d6e51217fa075f50ae9f42587aadfcef SHA1: b3ebc2410d20b5f1471823943b8bdb992154fd62 MD5sum: aae68947aa38773bbbd5768019a15e77 Description: SPARQL endpoint interface to Python3 This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 3 version of the package. Package: python3-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 117362 SHA256: 80104975c91c9f38fc54af1d7c09557842cfcb8b1343456923a3d5a055650068 SHA1: 543e46dd897d9481b8f55c952928ca196dac6397 MD5sum: 012b7929c8310b52a6348e79caff92a2 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~nd16.10+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~nd16.10+1_all.deb Size: 49948 SHA256: 9476b04bd298d3a2bc2f0508dcc03c485a8ada2a2442f3845634ca097c9b9fa9 SHA1: fb1c43c9f9e0540752369247da2b10c18f248d7b MD5sum: ff21fc7fc717225f4ac290cef748c506 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-tz Source: python-tz Version: 2012c-1~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 108 Depends: neurodebian-popularity-contest, tzdata, python3:any (>= 3.3.2-2~) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python3-tz_2012c-1~nd70+1+nd90+1+nd16.10+1_all.deb Size: 24580 SHA256: 6251e1a7ed61271a226d801f7a703a0448ba43709b91a24561b923e051fc718c SHA1: 6c2ca6e80df83a3279e37d3e1b207e14376fef94 MD5sum: f6c63ca0c4d8b514c2d4fc9b34f49bd1 Description: Python3 version of the Olson timezone database python-tz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo). . This package contains the Python 3 version of the library. Package: python3-urllib3 Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1+nd16.10+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+nd16.10+1_all.deb Size: 65534 SHA256: 8d207c3104fb16a83c0cc9216d04c0180a16fa52dc2ad7447e553aac91a8959f SHA1: 6f910053ffdf65bce8cd2d8b679e26af97443b1d MD5sum: 4d0211f58dda185b10a96b3147f3925d 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+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 157 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+nd16.10+1_all.deb Size: 43816 SHA256: c61404e2dcb90683fb340b7a6d1fe8894f74512a8198b0f2331d45d65f47440c SHA1: 8c811d4d36bcd287e2c3ae3406b1f860d7d2ad5a MD5sum: 2c98a45389ee65572430f5afc9d3f105 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+nd16.10+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+nd16.10+1_all.deb Size: 14188 SHA256: 1b2ef653fc19bfda6a4e325e7a50ca17e3b3fee4229dec0b9f1cfb10f778e77c SHA1: f5cd8e0a308230916fda8949671500e5afcbaba5 MD5sum: b3671476342e629097c2602d1ec574e8 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+nd16.10+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+nd16.10+1_all.deb Size: 163886 SHA256: e806fc6eab438a4fbc37c9ecc37ec8cf5337471e816f3de6993e73e2086567cf SHA1: 9d465b41cf376951d427471e23fdf589ccce3a32 MD5sum: 0f1071e6c9b44c8e4327528c58afe42f 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~nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python3-whoosh_2.7.4+git6-g9134ad92-1~nd16.10+1_all.deb Size: 290750 SHA256: 60f0a9643a3807a1bea26c95d1a1ab571a7515ebe35ae83ad234094bea59580b SHA1: 3fa40ccf4905753d5c92011ac0a6355af2378a6d MD5sum: 11749974bf698038ea19d654b4540b4d Description: pure-Python full-text indexing, search, and spell checking library (Python 3) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python3 library Package: spm8-common Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 19187 Depends: neurodebian-popularity-contest Recommends: spm8-data, spm8-doc Priority: extra Section: science Filename: pool/main/s/spm8/spm8-common_8.5236~dfsg.1-1~nd70+1+nd90+1+nd16.10+1_all.deb Size: 9748252 SHA256: 31513a19cf7e7c1b5cbce850d7eb395cb10e63806712ca4a7d4cd2e49409e896 SHA1: b6036d46aec7d165a32fad179dee30b40cc07b7c MD5sum: 13902fbd9f1af3c9d222e82244cec461 Description: analysis of brain imaging data sequences Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the platform-independent M-files. Package: spm8-data Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73020 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.5236~dfsg.1-1~nd70+1+nd90+1+nd16.10+1_all.deb Size: 45530522 SHA256: 97cd689eb1c99891eb1cad1e2eb3fdaca11fc4712c8085e792a80d7922da7f87 SHA1: d3120a10428584d8f593e37a69fd3afd2d45c8df MD5sum: ceab10c469e79c1a15b806f7e5dd8b00 Description: data files for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provide the data files shipped with the SPM distribution, such as various stereotaxic brain space templates and EEG channel setups. Package: spm8-doc Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 9252 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.5236~dfsg.1-1~nd70+1+nd90+1+nd16.10+1_all.deb Size: 8934890 SHA256: a95497974e8b1074d979f2067f08e36e4d4b247be01957e3a3fc5aa1bcb53d12 SHA1: ec1ba61e4f604d2bf1e2a8f776d5146563bba494 MD5sum: 46ef138e819414aa0945458be2f3acf7 Description: manual for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the SPM manual in PDF format. Package: spyder Version: 2.2.5+dfsg-1~nd80+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 116 Depends: neurodebian-popularity-contest, python:any, python-spyderlib (= 2.2.5+dfsg-1~nd80+1+nd90+1+nd16.10+1) Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: devel Filename: pool/main/s/spyder/spyder_2.2.5+dfsg-1~nd80+1+nd90+1+nd16.10+1_all.deb Size: 32590 SHA256: 792dee12c258007835a1405d4423cf9b8f8ad5a7da9feae5656ebbc755a8fc05 SHA1: 232f05fa3f19c5b6e62cf338ad43d32ae0f0ecb3 MD5sum: e49ee1c33e3244e98ace077009cf729c Description: python IDE for scientists Spyder (previously known as Pydee) is a free open-source Python development environment providing MATLAB-like features in a simple and light-weighted software Package: spykeviewer Version: 0.4.4-1~nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1964 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-guidata, python-guiqwt (>= 2.1.4), python-spyderlib, python-spykeutils (>= 0.4.0), python-neo (>= 0.2.1), python-matplotlib, python-scipy, python-nose, python-sphinx, python-tables Recommends: libjs-jquery, libjs-underscore, ipython-qtconsole (>= 0.12) Homepage: http://www.ni.tu-berlin.de/software/spykeviewer Priority: extra Section: python Filename: pool/main/s/spykeviewer/spykeviewer_0.4.4-1~nd90+1+nd16.10+1_all.deb Size: 1295614 SHA256: e2e90f57bbb2f48b0930def19585b966c053d3f3a459fd26dc7e8c9b376fd692 SHA1: 1fe9d31981ec862e8ba144a1ff8e6dff2dded9cf MD5sum: 7a55bbee9b3fc933fbae50926dfce078 Description: graphical utility for analyzing electrophysiological data Spyke Viewer is a multi-platform GUI application for navigating, analyzing and visualizing electrophysiological datasets. Based on the Neo framework, it works with a wide variety of data formats. Spyke Viewer includes an integrated Python console and a plugin system for custom analyses and plots. Package: svgtune Version: 0.1.0-1~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python, python-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.1.0-1~nd70+1+nd90+1+nd16.10+1_all.deb Size: 6590 SHA256: 6a9a2fdb986d5828e086e4df61fc66818e6760c7694da6b97559861ac2ced23d SHA1: 7ef398ba428e06bc146151c496ce2cfde718d03d MD5sum: c9306f5069b0ca204fe97a99d60b1cc3 Description: tool to generate a set of .svg files out of a single .svg file svgtune is just a little helper to generate a set of .svg files out of a single .svg file, by tuning respective groups/layers visibility, transparency or anything else. . It might come very handy for generation of incremental figures to be embedded into the presentation in any format which inkscape could render using original .svg file (e.g. pdf, png). Package: ubuntu-keyring Version: 2010.+09.30~nd70+1+nd90+1+nd16.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Recommends: gpgv Priority: important Section: misc Filename: pool/main/u/ubuntu-keyring/ubuntu-keyring_2010.+09.30~nd70+1+nd90+1+nd16.10+1_all.deb Size: 11730 SHA256: da06b75323411fc427e75e49e7bee4ab4fce55ce40ddfa399570eb494ece104e SHA1: 0a50d8501c6a914d94ca8d06f1f04cef9fa7032a MD5sum: 50e2c4582c1f2f9579671b29217ef689 Description: GnuPG keys of the Ubuntu archive The Ubuntu project digitally signs its Release files. This package contains the archive keys used for that. Package: youtube-dl Version: 2021.12.17-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5937 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3:any Recommends: aria2 | wget | curl, ca-certificates, ffmpeg, mpv | mplayer, python3-pyxattr, rtmpdump, python3-pycryptodome Suggests: libfribidi-bin | bidiv, phantomjs Homepage: https://ytdl-org.github.io/youtube-dl/ Priority: optional Section: web Filename: pool/main/y/youtube-dl/youtube-dl_2021.12.17-1~nd110+1_all.deb Size: 1128692 SHA256: 75859d2f34a475fc0f199cd6d2b73e18c29cda44406530964890dcb790008eca SHA1: 09f85f2abc32eb5e9c2ccd6bfd1354ea332b6489 MD5sum: 6d04814be91bd9f85a7d3793ff2a2fb3 Description: downloader of videos from YouTube and other sites youtube-dl is a small command-line program to download videos from YouTube.com and other sites that don't provide direct links to the videos served. . youtube-dl allows the user, among other things, to choose a specific video quality to download (if available) or let the program automatically determine the best (or worst) quality video to grab. It supports downloading entire playlists and all videos from a given user. . Currently supported sites (or features of sites) are: . 1tv, 20min, 220.ro, 23video, 24video, 3qsdn, 3sat, 4tube, 56.com, 5min, 6play, 7plus, 8tracks, 91porn, 9c9media, 9gag, 9now.com.au, abc.net.au, abc.net.au:iview, abcnews, abcnews:video, abcotvs, abcotvs:clips, AcademicEarth:Course, acast, acast:channel, ADN, AdobeConnect, adobetv, adobetv:channel, adobetv:embed, adobetv:show, adobetv:video, AdultSwim, aenetworks, aenetworks:collection, aenetworks:show, afreecatv, AirMozilla, AliExpressLive, AlJazeera, Allocine, AlphaPorno, Amara, AMCNetworks, AmericasTestKitchen, AmericasTestKitchenSeason, anderetijden, AnimeOnDemand, Anvato, aol.com, APA, Aparat, AppleConnect, AppleDaily, ApplePodcasts, appletrailers, appletrailers:section, archive.org, ArcPublishing, ARD, ARD:mediathek, ARDBetaMediathek, Arkena, arte.sky.it, ArteTV, ArteTVEmbed, ArteTVPlaylist, AsianCrush, AsianCrushPlaylist, AtresPlayer, ATTTechChannel, ATVAt, AudiMedia, AudioBoom, audiomack, audiomack:album, AWAAN, awaan:live, awaan:season, awaan:video, AZMedien, BaiduVideo, Bandcamp, Bandcamp:album, Bandcamp:weekly, bangumi.bilibili.com, bbc, bbc.co.uk, bbc.co.uk:article, bbc.co.uk:iplayer:playlist, bbc.co.uk:playlist, BBVTV, Beatport, Beeg, BehindKink, Bellator, BellMedia, Bet, bfi:player, bfmtv, bfmtv:article, bfmtv:live, BibelTV, Bigflix, Bild, BiliBili, BilibiliAudio, BilibiliAudioAlbum, BiliBiliPlayer, BioBioChileTV, Biography, BIQLE, BitChute, BitChuteChannel, BleacherReport, BleacherReportCMS, blinkx, Bloomberg, BokeCC, BongaCams, BostonGlobe, Box, Bpb, BR, BravoTV, Break, brightcove:legacy, brightcove:new, BRMediathek, bt:article, bt:vestlendingen, BusinessInsider, BuzzFeed, BYUtv, Camdemy, CamdemyFolder, CamModels, CamTube, CamWithHer, canalc2.tv, Canalplus, Canvas, CanvasEen, CarambaTV, CarambaTVPage, CartoonNetwork, cbc.ca, cbc.ca:olympics, cbc.ca:player, cbc.ca:watch, cbc.ca:watch:video, CBS, CBSInteractive, CBSLocal, CBSLocalArticle, cbsnews, cbsnews:embed, cbsnews:livevideo, CBSSports, CCMA, CCTV, CDA, CeskaTelevize, CeskaTelevizePorady, channel9, CharlieRose, Chaturbate, Chilloutzone, chirbit, chirbit:profile, cielotv.it, Cinchcast, Cinemax, CiscoLiveSearch, CiscoLiveSession, CJSW, cliphunter, Clippit, ClipRs, Clipsyndicate, CloserToTruth, CloudflareStream, Cloudy, Clubic, Clyp, cmt.com, CNBC, CNBCVideo, CNN, CNNArticle, CNNBlogs, ComedyCentral, ComedyCentralTV, CommonMistakes, CondeNast, CONtv, Corus, Coub, Cracked, Crackle, CrooksAndLiars, crunchyroll, crunchyroll:playlist, CSpan, CtsNews, CTV, CTVNews, cu.ntv.co.jp, Culturebox, CultureUnplugged, curiositystream, curiositystream:collection, CWTV, DailyMail, dailymotion, dailymotion:playlist, dailymotion:user, daum.net, daum.net:clip, daum.net:playlist, daum.net:user, DBTV, DctpTv, DeezerPlaylist, defense.gouv.fr, democracynow, DHM, Digg, DigitallySpeaking, Digiteka, Discovery, DiscoveryGo, DiscoveryGoPlaylist, DiscoveryNetworksDe, DiscoveryVR, Disney, dlive:stream, dlive:vod, Dotsub, DouyuShow, DouyuTV, DPlay, DRBonanza, Dropbox, DrTuber, drtv, drtv:live, DTube, Dumpert, dvtv, dw, dw:article, EaglePlatform, EbaumsWorld, EchoMsk, egghead:course, egghead:lesson, ehftv, eHow, EinsUndEinsTV, Einthusan, eitb.tv, EllenTube, EllenTubePlaylist, EllenTubeVideo, ElPais, Embedly, EMPFlix, Engadget, Eporner, EroProfile, Escapist, ESPN, ESPNArticle, EsriVideo, Europa, EWETV, ExpoTV, Expressen, ExtremeTube, EyedoTV, facebook, FacebookPluginsVideo, faz.net, fc2, fc2:embed, Fczenit, filmon, filmon:channel, Filmweb, FiveThirtyEight, FiveTV, Flickr, Folketinget, FootyRoom, Formula1, FOX, FOX9, FOX9News, Foxgay, foxnews, foxnews:article, FoxSports, france2.fr:generation-what, FranceCulture, FranceInter, FranceTV, FranceTVEmbed, francetvinfo.fr, FranceTVJeunesse, FranceTVSite, Freesound, freespeech.org, FreshLive, FrontendMasters, FrontendMastersCourse, FrontendMastersLesson, FujiTVFODPlus7, Funimation, Funk, Fusion, Fux, Gaia, GameInformer, GameSpot, GameStar, Gaskrank, Gazeta, GDCVault, generic, Gfycat, 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