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+nd17.04+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+nd17.04+1_all.deb Size: 14486 SHA256: a1d4cf91bad166f39098e8e84393fa543586430dea50a4e1ca5e108fc5bd9e47 SHA1: bcc89cccfae00addb9853a56a31bed8afb592e73 MD5sum: 0d426e0757ab03489e584ebf1a573323 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 306 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 3.18.2) | btrfs-tools (>= 3.18.2) Recommends: openssh-client, pv Homepage: http://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.26.0-1~nd17.04+1_all.deb Size: 85860 SHA256: b0659ac41ef5754e6ec88b02a6eb59ba4c5383c3c7ff226bd81a97a50c8cc60b SHA1: 7c15d970d9adf9af4014d24f25bb851437b43363 MD5sum: 2375544dfa114c07e155c7b715c6cb87 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: condor Version: 8.4.9~dfsg.1-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: neurodebian-popularity-contest, htcondor Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor_8.4.9~dfsg.1-2~nd90+1+nd17.04+1_all.deb Size: 16258 SHA256: 7c1a0c3b32ce5de9ca91637885b98fa8af9f64d0d4def38c3bb7b0b730e78fbc SHA1: 95b760712e5414fcf91ba67dfc4ce693a0526a09 MD5sum: 19ef33248c5e408b078d95c25a9d931e Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-dbg Source: condor Version: 8.4.9~dfsg.1-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: neurodebian-popularity-contest, htcondor-dbg Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-dbg_8.4.9~dfsg.1-2~nd90+1+nd17.04+1_all.deb Size: 16276 SHA256: 2ccb9d30b10753a3d2d7f4ad431aed28fda54ded33bd66d09ecf07a64554beaa SHA1: 2d466d26045b4ff8f6788485c1357ee54cc6ec8e MD5sum: 2a288e484796f3d615511c18ec006305 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-dev Source: condor Version: 8.4.9~dfsg.1-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: neurodebian-popularity-contest, htcondor-dev Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-dev_8.4.9~dfsg.1-2~nd90+1+nd17.04+1_all.deb Size: 16272 SHA256: 122f0ebbe32e5412d0719dffff74eeb59378317fc11fe4bc3afec4f2dfd3a3c6 SHA1: 1b3bc7830607db97c0e7290b71fcb63ef230f8e3 MD5sum: 5be18ea3b254a2448307ac6cc3eca507 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-doc Source: condor Version: 8.4.9~dfsg.1-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: neurodebian-popularity-contest, htcondor-doc Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-doc_8.4.9~dfsg.1-2~nd90+1+nd17.04+1_all.deb Size: 16272 SHA256: 6518cbb43c662dcf44e198088485d7899a3132010e0b43de6b4775f468461d5b SHA1: 50078fc0d8f23603c5bce3239f7fd1f24726e391 MD5sum: 6e21b680f71283cf3e9cc4e438413829 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23385 Depends: neurodebian-popularity-contest Homepage: http://debian-handbook.info Priority: optional Section: doc Filename: pool/main/d/debian-handbook/debian-handbook_6.0+20120509~nd+1+nd90+1+nd17.04+1_all.deb Size: 21551202 SHA256: 175d198dc562f9f60b76f9a998bf7fc8a22fa0ec7c7fb33f07414ffb4868980e SHA1: 1fb150def45f6a65cb1644be0ba00c6838f62aaf MD5sum: 61ef688786169f55a48e00b32dbd953d 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+nd17.04+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+nd17.04+1_all.deb Size: 13894 SHA256: 9a1b80906867cdea4ac544fa9648fcc327675e3d77064b84708bf3a698d7d6b7 SHA1: 74033b44845ff304407943a81e797bb69beb1198 MD5sum: a45dbf07a4d594a65c07fd20d43963bb 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+nd17.04+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-enum34 (<< 2), python-jsonschema, python-requests (>= 2.6.1), python-six (>= 1.3.0), python-six (<< 2), python-texttable, python-websocket, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: docker.io (>= 1.6.0) Homepage: http://docs.docker.com/compose/ Priority: optional Section: admin Filename: pool/main/d/docker-compose/docker-compose_1.5.2-1~nd90+1+nd17.04+1_all.deb Size: 76920 SHA256: 8d49b406bd1d990ad315d457e486a960f3504d366f650230d38ab471166ab054 SHA1: bcea2c1bef76360745bfe5f7ce85d69663d662cf MD5sum: 881cadbdb784548069c4761fcaa950c0 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+nd17.04+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+nd17.04+1_all.deb Size: 7064620 SHA256: 8dc2f5dcdc8371d231d9dfc0f3af1a32fa60dbf553132028613052f69ba632d3 SHA1: 01fa34fa7ef1edd06fa15a8f09c3f93472c1e3f2 MD5sum: 96ef2cf0973064b721301d3ba93a2ab2 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1274 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), init-system-helpers (>= 1.18~), lsb-base (>= 2.0-7) Recommends: python, iptables, whois, python3-pyinotify, python3-systemd Suggests: mailx, system-log-daemon, monit Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.9.7-1~nd17.04+1_all.deb Size: 262464 SHA256: 633db7535f56705da9c99587c2d941d9c64ba65d2bb6a0cc732c26637bd7264b SHA1: b2ecb62815cedd86a60d0e5c65321812d5d29f9e MD5sum: b5fd7a0f7553d871ff4bb1012307d1d4 Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Following recommends are listed: . - iptables -- default installation uses iptables for banning. You most probably need it - whois -- used by a number of *mail-whois* actions to send notification emails with whois information about attacker hosts. Unless you will use those you don't need whois - python3-pyinotify -- unless you monitor services logs via systemd, you need pyinotify for efficient monitoring for log files changes Package: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1), freeipmi-tools, freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi_1.4.9-1~nd90+1+nd17.04+1_all.deb Size: 1182 SHA256: cd466744c11bce403181ef013c129a27bebb2bbf2e2060b71b672e5becf00f47 SHA1: 7077f77b02d4f601ed7df8b62573c50a59c9b99b MD5sum: 3e901e64dd577f42e6b5cc3d1b2e7a25 Description: GNU implementation of the IPMI protocol FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This metapackage depends on all separate modules of freeipmi. Package: freeipmi-common Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 344 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest Suggests: freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-common_1.4.9-1~nd90+1+nd17.04+1_all.deb Size: 189200 SHA256: a3c026c88efc23a5abbeaf3e67e4078b0efc6d8108b05552079edd1f529f4170 SHA1: e6375753ff012d8f296636242a5db2f001b19289 MD5sum: 99aedce546b0d0b2e3a1673237a1ef29 Description: GNU implementation of the IPMI protocol - common files FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package provides configuration used by the rest of FreeIPMI framework and generic documentation to orient the user. Package: fsl-melview Source: melview Version: 1.0.1+git9-ge661e05~dfsg.1-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73 Depends: neurodebian-popularity-contest, python-matplotlib, python-nibabel, python-numpy, python-pkg-resources, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pyface, python-traits, python-traitsui, python-enthoughtbase Suggests: fsl-core Homepage: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Melview Priority: optional Section: science Filename: pool/main/m/melview/fsl-melview_1.0.1+git9-ge661e05~dfsg.1-1~nd90+1+nd17.04+1_all.deb Size: 13974 SHA256: 2ac6eccfb3fe5b011191869aadf6ef594852d638a26408b3d074fd490a521e41 SHA1: cf9b9e24dc534fc045e14c6a0c8bbe40ce3e7302 MD5sum: afd63d8e8c048077bb0066afb4bd2ce3 Description: viewer for the output of FSL's MELODIC This viewer can be used to facilitate manual inspection and classification of ICA components computed by MELODIC. As such, it is suited to generate hand-curated labels for FSL's ICA-based denoising tool FIX. Python-Version: 2.7 Package: fsleyes Version: 0.15.2-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239708 Depends: neurodebian-popularity-contest, python-fsl, python-fsleyes-props, python-fsleyes-widgets, python-wxgtk3.0, python-six (>= 1.0~), python-jinja2, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd17.04+1_all.deb Size: 26747504 SHA256: eaf4edf2d91dba93b03b528b6eefd2ce6ff7a03101d522ec32f447f0fc20e3a4 SHA1: 1fae619f5e3290c8c2c8961e597da5d82b51d3f2 MD5sum: 1c73bfc1ecf4c6952a59c5799c22c9e2 Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: gcalcli Version: 3.4.0-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1766 Depends: neurodebian-popularity-contest, python, python-dateutil, python-gflags, python-googleapi Recommends: gxmessage, python-parsedatetime, python-simplejson, python-vobject Homepage: https://github.com/insanum/gcalcli Priority: extra Section: utils Filename: pool/main/g/gcalcli/gcalcli_3.4.0-1~nd90+1+nd17.04+1_all.deb Size: 1669968 SHA256: a7555b165959ce7d9235abe368a589eba6e128b04c3e951218345e3da5c431a3 SHA1: 04a9a871399276a5659260e1fec6bb6a028cb17d MD5sum: 3e75f939ef245309b854552493879d74 Description: Google Calendar Command Line Interface gcalcli is a Python application that allows you to access your Google Calendar from a command line. It's easy to get your agenda, search for events, and quickly add new events. Additionally gcalcli can be used as a reminder service to execute any application you want. Package: git-annex-remote-rclone Version: 0.5-1~ndall+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1_all.deb Size: 7842 SHA256: 0b1d65c740ce1073ecdae6db121d304fe02c4bb95df552326894118a65b38319 SHA1: 34a2323c4387e61c4a69617150c463f9a7b772c5 MD5sum: 00c5a0407a998eba72d4f5eb0ad71189 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-hub Version: 0.10.3-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: neurodebian-popularity-contest, python, git (>= 1:1.7.7) Homepage: https://github.com/sociomantic/git-hub Priority: optional Section: vcs Filename: pool/main/g/git-hub/git-hub_0.10.3-1~nd90+1+nd17.04+1_all.deb Size: 34166 SHA256: ca268364ed6294efed8987fbe93a1f65cfdca1d07aa26fb013e4913f04e5b876 SHA1: af3c2c2b3389762a11de6836b0e912d4c730da76 MD5sum: 3b46d60ad619b8c4dbbc678ff84c9dd6 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+nd17.04+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+nd17.04+1_all.deb Size: 13906 SHA256: dfd26bce63c36f90b38386c9853cc25b2d3d337e81a10654ed36941f616bdc28 SHA1: 9abae7d0255e2c739c396e51cdffcd7e0a625871 MD5sum: 6ea96d767a48de4fb0d5612246b2d6e5 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 170 Depends: neurodebian-popularity-contest, python, python-dcmstack, python-dicom, python-nibabel, python-numpy, python-nipype Recommends: mricron, dcm2niix, python-pytest, python-datalad Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.4-1~nd17.04+1_all.deb Size: 41282 SHA256: 5d6ff5f3d1b986c40e38577e9c969ba4258356ed27ef04ceb20c1766dbbdb547 SHA1: 7275d87e23d945b3896e9d8d9a25137d8578f4a7 MD5sum: bb5b34fe93e22fe0f6d6f74e845c288c 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: htcondor-doc Source: condor Version: 8.4.9~dfsg.1-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6123 Depends: neurodebian-popularity-contest Breaks: condor-doc (<< 8.0.5~) Replaces: condor-doc (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: doc Filename: pool/main/c/condor/htcondor-doc_8.4.9~dfsg.1-2~nd90+1+nd17.04+1_all.deb Size: 1069524 SHA256: d97847563abc610cac7097200276b8294b001a50f0922109f859728ef599bf52 SHA1: cea2857e5e0249ec94e6b0b99831b5312e70e5c1 MD5sum: 48327933462844512230655978dda8e9 Description: distributed workload management system - documentation Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides HTCondor's documentation in HTML and PDF format, as well as configuration and other examples. Package: impressive Version: 0.11.2-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 451 Depends: neurodebian-popularity-contest, python, python-pygame, python-pil | python-imaging, mupdf-tools (>= 1.5) | xpoppler-utils Recommends: mplayer, pdftk, perl, xdg-utils Suggests: ghostscript, latex-beamer Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.11.2-1~nd17.04+1_all.deb Size: 184192 SHA256: 776a1a8dbf43f4d1a98bcaafb20ae99dd8d84b52d764d461e925f8ddbf53fe0e SHA1: 0b1710a3ee2efe2a2a5a087b4927d34dbb75fe6c MD5sum: 38554879eb576eb147803f2f0935a891 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+nd17.04+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+nd17.04+1_all.deb Size: 9148 SHA256: 7aa9f62852123cff1feb7f33772fee7059781338c7c718acf345328ce6343515 SHA1: 94fc9fe32dd6d01c7bea200a1821deac5a869593 MD5sum: 403c724583fdf0c768ca0060927e2ece 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+nd17.04+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+nd17.04+1_all.deb Size: 13480 SHA256: 0aa8dd3c18a81d1d2db09d5808c12055be11aeff88a2f36865fe4bd4be359622 SHA1: ecce733947fa1b7ea47f407904d693b823dfee92 MD5sum: be33f492a3e903bc630357de68a24959 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: libghc-network-protocol-xmpp-doc Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90+nd17.04+1 Architecture: all Maintainer: Debian Haskell Group Installed-Size: 511 Depends: haddock-interface-28 Recommends: ghc-doc, libghc-monads-tf-doc, libghc-network-doc, libghc-text-doc, libghc-xml-types-doc, libjs-mathjax Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: doc Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-doc_0.4.8-2+ndb1~nd90+nd17.04+1_all.deb Size: 48088 SHA256: 46a3e40d72d1a32bb31ff5281cc611432b94b807b2e47de017364f6886251b83 SHA1: 40c5d0049d02a3fdd3f9b5ce3f20898640db6791 MD5sum: 4c1979d3ca1ac84ad68557254db1342e 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: libmialm-doc Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1+nd17.04+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+nd17.04+1_all.deb Size: 20828 SHA256: db598d558b480bb145a701be60784338482f7cd24bfb575d93d2fc0d1ae537b8 SHA1: a531f28df440cdf6a2d9b7fc8bb109fa1b153118 MD5sum: 9cf12b9b97f3dd1cc0f672155a6d24cb 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1686 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+nd17.04+1_all.deb Size: 140846 SHA256: 8f40e208a29809d9ee6eec9093292d3bfbd3081da54d94ed03f0f2df1ae4d5b7 SHA1: e17bc2db2345d71717fa3be689e205ac6c19b15c MD5sum: 8089bbd3656ebfbb44a501408cfe0c1c 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 17 Depends: neurodebian-popularity-contest Conflicts: matlab-dev (<= 0.0.14~) Replaces: matlab-dev (<= 0.0.14~) Priority: optional Section: devel Filename: pool/main/m/matlab-support/matlab-support-dev_0.0.21~nd90+1+nd17.04+1_all.deb Size: 7574 SHA256: 34966aa693a8ebc09a21e983a69bca5bd167fbe29cbae3a2f2df19eca2c4afdb SHA1: d56b436e88a6e53465d20627da2fb8ba3d2cdc4e MD5sum: 6f7f34aac68303911d38a987bf82c1cc Description: helpers for packages building MATLAB toolboxes This package provides a Makefile snippet (analogous to the one used for Octave) that configures the locations for architecture independent M-files, binary MEX-extensions, and their corresponding sources. This package can be used as a build-dependency by other packages shipping MATLAB toolboxes. Package: mridefacer Version: 0.2-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 647 Depends: neurodebian-popularity-contest, num-utils, fsl-5.0-core | fsl-core Homepage: https://github.com/hanke/mridefacer Priority: optional Section: science Filename: pool/main/m/mridefacer/mridefacer_0.2-1~nd90+1+nd17.04+1_all.deb Size: 637300 SHA256: b559158b0f84a27f32a2473c5c460955535c7a693ff8e66388e5c7997b070622 SHA1: 58bd468764551be98a0cbcfedd5a3094c2d51750 MD5sum: b57040eccc78126db89532471f55bbf0 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+nd17.04+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+nd17.04+1_all.deb Size: 16874 SHA256: 351c9e837c6c2ee6e7f204d907550287dabd002805dac3861247f3b611549b4e SHA1: 27b2185e4ea096dfe114438f1716f2e40294b5b4 MD5sum: b80dfeb659f3eed77ac6c6483d62a211 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 91 Depends: python, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.37.5~nd90+1+nd17.04+1_all.deb Size: 34634 SHA256: 89a565552aa3df8354c606f3c352cce781283142268ce76e26f8a3189f9fb14d SHA1: b9d93dd502c63be8e9268c7f828253f13c1cf64b MD5sum: 53f602c0d7bd52b8d64b4ecc1bab5e7d Description: neuroscience-oriented distribution - repository configuration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.37.5~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: gnupg2 | gnupg, dirmngr Breaks: neurodebian-keyring (<< 0.34~) Replaces: neurodebian-keyring (<< 0.34~) Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-archive-keyring_0.37.5~nd90+1+nd17.04+1_all.deb Size: 10438 SHA256: 0a189f6d38f271000774c977dfe98db5146bf27e82b4f64dae5aaf670a11822d SHA1: ccc6bc734eeb7519ceeecb7219bb60c4ce4c897f MD5sum: 52599477c6cdd067442008ca7889e893 Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-desktop Source: neurodebian Version: 0.37.5~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 189 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Recommends: reportbug-ng Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.37.5~nd90+1+nd17.04+1_all.deb Size: 116434 SHA256: a22c5cf62cc7bb345ddef40580ba859f05cffdcf03a77d6f4da0970ac2e34547 SHA1: abb36389466696b81a87df035486ad2fd825b04c MD5sum: fbf62173fc89819bfd3916ce89e4282d Description: neuroscience-oriented distribution - desktop integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.37.5~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 Depends: devscripts, neurodebian-archive-keyring Recommends: python, zerofree, moreutils, time, ubuntu-keyring, debian-archive-keyring, apt-utils, cowbuilder Suggests: virtualbox-ose, virtualbox-ose-fuse Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.37.5~nd90+1+nd17.04+1_all.deb Size: 32858 SHA256: e77aff3cc8bc38a8d42804cd09dbd0f1be1177cd65045a0a2007f9ae0ce77526 SHA1: 95d622a4b86b36204a22e73e19b537ef343066bf MD5sum: ca8cbb651abb96a85e6879d234c4fd04 Description: neuroscience-oriented distribution - development tools The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-guest-additions Source: neurodebian Version: 0.37.5~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: virtualbox-guest-utils, virtualbox-guest-x11, virtualbox-guest-dkms, sudo, neurodebian-desktop, lightdm | x-display-manager, zenity Recommends: chromium, update-notifier Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-guest-additions_0.37.5~nd90+1+nd17.04+1_all.deb Size: 17010 SHA256: d19e6dc2e38db9371bc322db7d65b73958e2f6986d9e88df2a0577bece6000a1 SHA1: e521381c2138f47b3c8939710aef23a851761390 MD5sum: d5dce499079c954078a3abf8fa08c0c1 Description: NeuroDebian guest additions (DO NOT INSTALL OUTSIDE VIRTUALBOX) This package configures a Debian installation as a guest operating system in a VirtualBox-based virtual machine for NeuroDebian. . DO NOT install this package unless you know what you are doing! For example, installation of this package relaxes several security mechanisms. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.37.5~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.37.5~nd90+1+nd17.04+1_all.deb Size: 12452 SHA256: 9feb8970935364da70f2c01a24f1abc7b22ebb9628c60543c0b436658cf0e61b SHA1: 8ed064091493f8e5dd05f5e8b13594d1229dba45 MD5sum: e801d4fa9d486d3dd90c8446a8fe18bd Description: neuroscience-oriented distribution - popcon integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (either Debian or Ubuntu) popcon server. . Participating in popcon is important for the following reasons: * Popular packages receive more attention from developers; bugs are fixed faster and updates are provided quicker. * It ensures that support is not dropped for a previous release of Debian or Ubuntu while there are active users. * User statistics may be useful for upstream research software developers seeking funding for continued development. . This requires that popcon is activated for the underlying distribution (Debian or Ubuntu), which can be achieved by running "dpkg-reconfigure popularity-contest" as root. Package: nuitka Version: 0.5.28.2+ds-1~nd17.04+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~nd17.04+1_all.deb Size: 706876 SHA256: 3da3e95ab51e12f61e02e6319cb26322c3a2eaccb3502a06df16719379ea0f36 SHA1: f4ed10a8d5eb0a37969e481f4bfbca2722ce7751 MD5sum: c2e0358ef411e49d7f5a4f45397c56c7 Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: openstack-pkg-tools Version: 52~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 191 Depends: neurodebian-popularity-contest, autopkgtest, libxml-xpath-perl, madison-lite, pristine-tar Priority: extra Section: devel Filename: pool/main/o/openstack-pkg-tools/openstack-pkg-tools_52~nd90+1+nd17.04+1_all.deb Size: 52322 SHA256: fd18e0a86e003dee3754d0abce8e76ef2f8d7d7b6ad2ece847d22e486308507e SHA1: 26d114a24e283a704cc21989cc4d0391d88ea65b MD5sum: 2997a215e7b60de6e0a7c38b6899f1cd Description: Tools and scripts for building Openstack packages in Debian This package contains some useful shell scripts and helpers for building the Openstack packages in Debian, including: . * shared code for maintainer scripts (.config, .postinst, ...). * init script templates to automatically generate init scripts for sysv-rc, systemd and upstart. * tools to build backports using sbuild and/or Jenkins based on gbp workflow. * utility to maintain git packaging (to be included in a debian/rules). . Even if this package is maintained in order to build OpenStack packages, it is of a general purpose, and it can be used for building any package. Package: prov-tools Source: python-prov Version: 1.5.0-1+nd1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-prov (= 1.5.0-1+nd1~nd17.04+1) Homepage: https://github.com/trungdong/prov Priority: optional Section: utils Filename: pool/main/p/python-prov/prov-tools_1.5.0-1+nd1~nd17.04+1_all.deb Size: 6944 SHA256: a728a1b880ab06c9c7133a940490a4f25c6d308093729e64645e39a5216d216e SHA1: 665659f279ce526198a42511163a91242398f2b2 MD5sum: 2618063b1b174cc7714864c92b3c07a9 Description: tools for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the command-line tools for the prov library. Package: psychopy Version: 1.85.3.dfsg-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15994 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-requests, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython, python-future Suggests: python-iolabs, python-pyxid, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.85.3.dfsg-1~nd17.04+1_all.deb Size: 6666422 SHA256: 6a19468b120a720435315210d80821f44bbcc5ea436af1d957e1afb29cacaed7 SHA1: a3462375f317a861d882ba76053b7ddb92c93d5d MD5sum: b677ed260739b30faa0e14e9ec07364b Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.14.20171008.dfsg1-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254246 Depends: neurodebian-popularity-contest Recommends: alsa-utils Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.14.20171008.dfsg1-1~nd17.04+1_all.deb Size: 24214724 SHA256: a8b9ba1fa864a88186d8456f002d9e4369f3404a8316ac322b74212212b3e6fa SHA1: 67a54c904e3e12b0c3d2fc922c0f38963976fe55 MD5sum: fdefad358c100d5d7243ddb40763e5ba Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: pypy-hypothesis Source: python-hypothesis Version: 3.6.0-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 386 Depends: neurodebian-popularity-contest, pypy-enum34, pypy Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/pypy-hypothesis_3.6.0-1~nd90+1+nd17.04+1_all.deb Size: 70252 SHA256: d5c6084c7955d0be0c01b200b27c0ad43dd29397264a4d67320db0d6716b89a5 SHA1: 62e3315516039379a20cb126d49270dafff7f267 MD5sum: 277748432873da2897a4fe0bbdbd05b0 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~nd17.04+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~nd17.04+1_all.deb Size: 18932 SHA256: 56a31bef8467d61a48d3d13995c2d6570e9121a07c2c228d9eab9f0c30de2b91 SHA1: 7039708f27819d0042ea08efa546f15365cd4d6e MD5sum: ffdac7be6e635b35f372268391669bcd 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, pypy Suggests: pypy-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/pypy-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 112052 SHA256: ea81e15014a7e8a53ced91ac7acf851b95c6cb5cd3de79be6652a04af748db86 SHA1: 865c4680c82748a66cbb2c0f6b5f96d42cf4f811 MD5sum: 8eae384f075a49a8cca1fba805594abd Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: pypy-py Source: python-py Version: 1.4.31-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, pypy, pypy-pkg-resources Suggests: subversion, pypy-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/pypy-py_1.4.31-2~nd90+1+nd17.04+1_all.deb Size: 82318 SHA256: ae229d1d8754333cce52f6223c33fe7ca5a5c6d291c8c08c4521bcc7b709d3d8 SHA1: 5e194de1428f80b04de4c261374f7da61646310d MD5sum: d928f2242a3921891d95eac16a72fa5f 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~nd90+1+nd17.04+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~nd90+1+nd17.04+1_all.deb Size: 136110 SHA256: 39bc1e4d88dcf59d1c062e8161ccbce90b41c29ae52527d083d3f3cd789b7b3b SHA1: 0c6574b6fdbefeca295c554e50e607eadf2bc8ef MD5sum: cc7eb10245f7df212e0500e7e6eaaaec 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, pypy-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1), pypy Suggests: python-setuptools-doc Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/pypy-setuptools_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 122000 SHA256: 0faf25e8711a16e690d796be746e0b478e549b42c68e97a0ea81bdec9e428452 SHA1: fbf08b90acc79a096c4fa3dc558bfe6342b74195 MD5sum: 0e59b44f91a2a55259f176ba4f669981 Description: PyPy Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: pypy-six Source: six Version: 1.10.0-3~bpo8+1~nd17.04+1 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~nd17.04+1_all.deb Size: 11732 SHA256: 79980b74cca58871e84e1a723737ff1842870169f48bbcfb29de262c47fcebcb SHA1: acc1ede29cab0aa2038f07eadb318c303a60fef1 MD5sum: 72dccb78bed211826ce952978e4eb3c6 Description: Python 2 and 3 compatibility library (PyPy interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the PyPy module path. It is complemented by python-six and python3-six. Package: python-argcomplete Version: 1.0.0-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 111 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python-argcomplete_1.0.0-1~nd90+1+nd17.04+1_all.deb Size: 24560 SHA256: 23c9a1a1c891c9e612e125276171a11a93785835f0bac4175e3c3d3ef8ed3b5c SHA1: d61dc78c9e298f8455966e1f49dcd477824711bd MD5sum: 0cbbd2c229df9b1941463b990bb15fc2 Description: bash tab completion for argparse Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 2.x. Package: python-boto3 Version: 1.2.2-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 720 Depends: neurodebian-popularity-contest, python-botocore, python-concurrent.futures, python-jmespath, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-requests, python-six Homepage: https://github.com/boto/boto3 Priority: optional Section: python Filename: pool/main/p/python-boto3/python-boto3_1.2.2-2~nd90+1+nd17.04+1_all.deb Size: 58322 SHA256: dbb734111cd517aa84e8089d803f2864968fcc2aee96ea0ea55a616b1937d9d7 SHA1: 660011161c3b9a37f479467b3acf77cae998650b MD5sum: 21873dccd96757f8fc434c8b4e9e5b0e Description: Python interface to Amazon's Web Services - Python 2.x Boto is the Amazon Web Services interface for Python. It allows developers to write software that makes use of Amazon services like S3 and EC2. Boto provides an easy to use, object-oriented API as well as low-level direct service access. Package: python-brian Source: brian Version: 1.4.3-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2456 Depends: neurodebian-popularity-contest, python-matplotlib (>= 0.90.1), python-numpy (>= 1.3.0), python-scipy (>= 0.7.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-brian-lib (>= 1.4.3-1~nd90+1+nd17.04+1) Recommends: python-sympy Suggests: python-brian-doc, python-nose, python-cherrypy Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian_1.4.3-1~nd90+1+nd17.04+1_all.deb Size: 401374 SHA256: 717dc6aa5476746ea324f3858fd86460dde294bf9320692f81be611ec80a0580 SHA1: 4fab9a8da849edb24d6ef731a74b6b9b25b3327b MD5sum: 982e2137ce0bcb1645a1394ff8bb14c4 Description: simulator for spiking neural networks Brian is a clock-driven simulator for spiking neural networks. It is designed with an emphasis on flexibility and extensibility, for rapid development and refinement of neural models. Neuron models are specified by sets of user-specified differential equations, threshold conditions and reset conditions (given as strings). The focus is primarily on networks of single compartment neuron models (e.g. leaky integrate-and-fire or Hodgkin-Huxley type neurons). Features include: - a system for specifying quantities with physical dimensions - exact numerical integration for linear differential equations - Euler, Runge-Kutta and exponential Euler integration for nonlinear differential equations - synaptic connections with delays - short-term and long-term plasticity (spike-timing dependent plasticity) - a library of standard model components, including integrate-and-fire equations, synapses and ionic currents - a toolbox for automatically fitting spiking neuron models to electrophysiological recordings Package: python-brian-doc Source: brian Version: 1.4.3-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7358 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-brian Homepage: http://www.briansimulator.org/ Priority: extra Section: doc Filename: pool/main/b/brian/python-brian-doc_1.4.3-1~nd90+1+nd17.04+1_all.deb Size: 1979688 SHA256: 54dc68369744e0987968d515f1ea0452f30d795e6d9fee148c0aa51bf1800b3e SHA1: e725ee5acdf22a9a1bb348a44e69a04cf3d02559 MD5sum: b807af2ab04b88690f05c3666aa30efd Description: simulator for spiking neural networks - documentation Brian is a clock-driven simulator for spiking neural networks. . This package provides user's manual (in HTML format), examples and demos. Package: python-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 768 Depends: neurodebian-popularity-contest, python-lxml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python-citeproc_0.3.0-1~nd90+1+nd17.04+1_all.deb Size: 80350 SHA256: a5cbc0ca204fda7e482cf693530167dbda314bf3454bf6103a53f3d0f351ba25 SHA1: 172bec90528c93a027e363cede14e5e0413e8fb4 MD5sum: 5ddec33c362a8e1956fe91cdb1621087 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~nd17.04+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~nd17.04+1_all.deb Size: 56196 SHA256: c8544e5c8f0b428ac5cd8c3b0097d44338b97919b14f3a655ca175766da512fb SHA1: d3cb2e57aeb88d9d626abd8c80c213ab0dcb1141 MD5sum: 909f06fe8739e65145135f19c1ab65ad 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python-contextlib2_0.4.0-3~nd90+1+nd17.04+1_all.deb Size: 8722 SHA256: 5fae102307ba0de47817be11d08fd3a5d219b78a027cebea90698100595a13b7 SHA1: d181cecfe9f6689ee6edcede58c176e0adb3aba5 MD5sum: 5f6df498ab72693e7108f40419c66b0d 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~nd17.04+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~nd17.04+1_all.deb Size: 741470 SHA256: bf93694d26ef26f262e86b9946af65267f131499bbbc4b422075abaffa4a9e6d SHA1: 50ce7598dcea4f8a275ab7149900b90b97fd2305 MD5sum: 990504b6f15dfac235e6b60333c3cc19 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 495 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: python Filename: pool/main/d/dcmstack/python-dcmstack_0.6.2+git36-gc12d27d-1~nd17.04+1_all.deb Size: 75108 SHA256: 0891331e11521ef85231f108208a996560b10c08cc5e850bbad069afc92e912a SHA1: e0558326d0491712ba24d8b08b1e8b619a67d857 MD5sum: da65f405edb43088b1d3a47cec273212 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1573 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), 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+nd17.04+1_all.deb Size: 357414 SHA256: d7483cb0f788d548235b5317b106bb3f49fb39ea3f4b43d206acc620847ff4c0 SHA1: deb80077b28b1f213a5948d770e86b951c44cef5 MD5sum: 2e545692289027ba41d2f2ea0684838a 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6960 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.13.0-2~nd17.04+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel Suggests: ipython Provides: python2.7-dipy Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.13.0-2~nd17.04+1_all.deb Size: 3020704 SHA256: b2d2970babadc81238c646ba35fe4a4b825a203b8cf8d0ae51f387497d8cf5ee SHA1: c05057888a7d47912d389aab2d6ceb04bc014799 MD5sum: 9b702f5d965cfb50ab7080af3cc05cbb Description: Python library for the analysis of diffusion MRI datasets DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging. . Here are some of the highlights: - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE and MAPMRI - Fiber tracking algorithms: deterministic and probabilistic - Native linear and nonlinear registration of images - Fast operations on streamlines (selection, resampling, registration) - Tractography segmentation and clustering - Many image operations, e.g., reslicing or denoising with NLMEANS - Estimation of distances/correspondences between streamlines and connectivity matrices - Interactive visualization of streamlines in the space of images Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.13.0-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14556 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://dipy.org Priority: extra Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.13.0-2~nd17.04+1_all.deb Size: 10773636 SHA256: 5745dd1a37038cd7b525c11e0b31c396610c7233febd910ca2e33659ba7928c8 SHA1: 48dd75b8744ea0447facbf6334df7a198b2aa6d1 MD5sum: db7242bf3c508e869acceec834bc1b1e Description: Python library for the analysis of diffusion MRI datasets -- documentation DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-docker Version: 1.7.2-1~bpo8+1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, python-requests, python-six (>= 1.4.0), python-websocket, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/dotcloud/docker-py/ Priority: optional Section: python Filename: pool/main/p/python-docker/python-docker_1.7.2-1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 27144 SHA256: 38f2f928ca90727fa2d9d96e9b208b8c55d76d64dc727df45d6c91ae5136b1c4 SHA1: f571ca0bea21785bc6eff26893104a75a8e4b4ed MD5sum: 5ab76a01d64e6000082f2530aa8649c6 Description: Python wrapper to access docker.io's control socket This package contains oodles of routines that aid in controling docker.io over it's socket control, the same way the docker.io client controls the daemon. . This package provides Python 2 module bindings only. Package: python-dockerpty Source: dockerpty Version: 0.4.1-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-docker (>= 0.7.1) Homepage: https://github.com/d11wtq/dockerpty Priority: optional Section: python Filename: pool/main/d/dockerpty/python-dockerpty_0.4.1-1~nd90+1+nd17.04+1_all.deb Size: 10964 SHA256: d07ff014e5ec625620ce9d74b006da4d254830a664a7bb845eb7ea3decfe069a SHA1: c7d773c886f380dc38a667f01833b3b6a7e56bd1 MD5sum: dd3aeeb52485148daba0fcf2b031a48c Description: Pseudo-tty handler for docker Python client (Python 2.x) Provides the functionality needed to operate the pseudo-tty (PTY) allocated to a docker container, using the Python client. . This package provides Python 2.x version of dockerpty. Package: python-fsl Source: fslpy Version: 1.2.2-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 404 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), python-indexed-gzip, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-wxgtk3.0 Conflicts: fsl-melview (<= 1.0.1+git9-ge661e05~dfsg.1-1) Provides: python2.7-fsl Priority: optional Section: python Filename: pool/main/f/fslpy/python-fsl_1.2.2-1~nd17.04+1_all.deb Size: 84150 SHA256: e856e581510bd5d7c6f66a9278b177d2492dc9ea1f157925dd4a544868a9e8a2 SHA1: f64ea3871891de65c88c4f973c16034499122e7c MD5sum: 56fa13bb29cbf5b9ff1cd3488cb512d8 Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-fsleyes-widgets Source: fsleyes-widgets Version: 0.2.0-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 374 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-fsleyes-widgets Priority: optional Section: python Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.2.0-1~nd17.04+1_all.deb Size: 68846 SHA256: e526799c87bec7f3860285ac0e3a22b7973f8a3a13b2f0888e15f5bef3169700 SHA1: 4a790c3575168de33af76d71febdf8704891aa63 MD5sum: b72560cd47bbab755a8402e9f2ac010d Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-funcsigs Version: 0.4-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-funcsigs-doc Homepage: http://funcsigs.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-funcsigs/python-funcsigs_0.4-2~nd90+1+nd17.04+1_all.deb Size: 12814 SHA256: d1e5e15c4b9e9ab04b80948607b8754bb2cae0dfba86779dd3570cb41e146c90 SHA1: 6580d7f531deffbf89b18dd33b63b18d4eba2f2f MD5sum: 2fea72b91b02910984547e723425b8f4 Description: function signatures from PEP362 - Python 2.7 funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the Python 2.7 module. Package: python-funcsigs-doc Source: python-funcsigs Version: 0.4-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://funcsigs.readthedocs.org Priority: optional Section: doc Filename: pool/main/p/python-funcsigs/python-funcsigs-doc_0.4-2~nd90+1+nd17.04+1_all.deb Size: 20962 SHA256: 3a5f034dcd3b501b9a47dd848f378ccad59dfa2ede9d9b0d3109781fc695f867 SHA1: 184ea96926eac292ef8a32a07fdde33ca4a20fec MD5sum: 02469e31d3f2cc83986426ac713410c0 Description: function signatures from PEP362 - doc funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the documentation. Package: python-future Version: 0.15.2-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1700 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python-future_0.15.2-1~nd90+1+nd17.04+1_all.deb Size: 335112 SHA256: 36712cb582638b183f594d3ff252b390b88765545edd015e5666027cd580c0b1 SHA1: 63a8bab98b5858073662f43312c54aba4d1a3173 MD5sum: 7e9d8c024fe2c86ecdd44d18d8f3ed25 Description: single-source support for Python 3 and 2 - Python 2.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 2.x module. Package: python-future-doc Source: python-future Version: 0.15.2-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1915 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://python-future.org Priority: optional Section: doc Filename: pool/main/p/python-future/python-future-doc_0.15.2-1~nd90+1+nd17.04+1_all.deb Size: 308268 SHA256: 81b2b6d6315056b7ccef1823de5ca692b452b68f3419421821e2e3f6f9c41d3d SHA1: c1ea65f1601061bbaa82c07751b5646b2f067db9 MD5sum: 5441ba1579ce7fc6c6427917e510a491 Description: Clean single-source support for Python 3 and 2 - doc Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the documentation. Package: python-git Version: 2.1.8-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1653 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.1.8-1~nd17.04+1_all.deb Size: 303506 SHA256: f34c508af0beae518e6b2901396d40affd513961410fdcaf1316783ee594dd53 SHA1: af642ff7da29f9b2e2dafb563c72400440ad7872 MD5sum: 3927e4aa6068b06d40be33084239d11b Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 2.1.8-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 969 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_2.1.8-1~nd17.04+1_all.deb Size: 125650 SHA256: 569042335ac676ae838cf81f3c5b7f99c45324d8359cc5230afe90e7e075fdaa SHA1: 3f637fcec37a670de41a7208c4779be70dad7273 MD5sum: e5549355fe380baea68153c08d8ff88f Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-github Source: pygithub Version: 1.26.0-1~nd90+1+nd17.04+1 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~nd90+1+nd17.04+1_all.deb Size: 44826 SHA256: e862d12785191447eca54fbd15666955157a102cb33ace57e72f014efb12c7b7 SHA1: de91083ffa7a51c2fd6284460ecff6c6351ad0bf MD5sum: 170c2ad4f2d98dc19242d8be6ab3b3c3 Description: Access to full Github API v3 from Python2 This is a Python2 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python-humanize Version: 0.5.1-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python-humanize_0.5.1-2~nd90+1+nd17.04+1_all.deb Size: 12946 SHA256: 84ce15b8cb1f36a76979ceae314b1cbb72c9f6e74a07aaeb9ca13b42671cb1eb SHA1: 48983a025869b8b7262745e97927a4efb7a4e235 MD5sum: ceac648832acf9f0febe4f1c73802d4c Description: Python Humanize library (Python 2) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 2 version of the package. Package: python-hypothesis Version: 3.6.0-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 386 Depends: neurodebian-popularity-contest, python-enum34, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python-hypothesis_3.6.0-1~nd90+1+nd17.04+1_all.deb Size: 70170 SHA256: e0cc6622b14f8e81ebf7ae9ecb7eb42fe3b642925e4acea5520e062c5246057d SHA1: 00fb43030b3f548a054dfa3ca806bcd1f5e92197 MD5sum: 7cf8b48dee3725871b3b07ed2083dcde Description: advanced Quickcheck style testing library for Python 2 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 2 module. Package: python-hypothesis-doc Source: python-hypothesis Version: 3.6.0-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1129 Depends: neurodebian-popularity-contest Homepage: https://github.com/DRMacIver/hypothesis Priority: extra Section: doc Filename: pool/main/p/python-hypothesis/python-hypothesis-doc_3.6.0-1~nd90+1+nd17.04+1_all.deb Size: 136638 SHA256: f1794d82fc5652d20ca75a8798c3315d18bccdaf4131f80c4ea182801395f2c0 SHA1: d981e4a90e9885883e754338fec167bdd85218ac MD5sum: 8a9f467a298920b6e468c59afd1914e1 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+nd17.04+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+nd17.04+1_all.deb Size: 7750 SHA256: 4449deb3b185777a65db0395888c89abe051ad54c719f1b1d810cc418aab4146 SHA1: ded09f95a3878b088cad08d3cff0dc07abc8b03f MD5sum: d94c2f829bb3bababf09c4c6d8c43163 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 505 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Recommends: python-numpy, python-pytest, python-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.11-1~nd17.04+1_all.deb Size: 120326 SHA256: de70de99bf037cde19aeb50ab1ef938bfe950e125bf0dafe74abc125b8fac9ca SHA1: 1876228981102d7eefaf24379984fc5360fd7fdc MD5sum: 7b47d78f3e464d2be159519aac59fb2a Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 2 version. Package: python-jsmin Version: 2.2.1-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/tikitu/jsmin Priority: optional Section: python Filename: pool/main/p/python-jsmin/python-jsmin_2.2.1-1~nd90+1+nd17.04+1_all.deb Size: 21580 SHA256: 958cbf786d4a9e90b4f594faadfc352c200289572d52d90bdafdbab75e4c9c0c SHA1: 3d02c4e37daeb73910b7092b4b982ae0243ad3c6 MD5sum: 82801e0f07035307bc32fa30331cc49d 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~nd17.04+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~nd17.04+1_all.deb Size: 24538 SHA256: a45c1c1eadd1b8720e697130317592c60618b60b1a9aac0d5e0bf21e0355e7ab SHA1: 3ed8f156e2f48a035e15b668898e1c2d4c67e3bd MD5sum: 5d59412d6fb600ad1a736022661d2f6b 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), 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+nd17.04+1_all.deb Size: 6992 SHA256: 0bfa74df83e0eecfc62a62bc92893d1be43a1da128b803b4b88b4f0f0d309d89 SHA1: 87128ac160ac305d56de772f4622173a19961ad2 MD5sum: 729b901e7df9be1bcaaf3c235f38eee2 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+nd17.04+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+nd17.04+1_all.deb Size: 277302 SHA256: 6f657c97828cc082c6fc50ece0a2339cac3fabd1f496f61692a1fb85ad28fdb7 SHA1: 501cd17744129e0eb0f9cfd3fb540f1785f3b0a8 MD5sum: d2afde3509a93158e1715244ebb76749 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11266 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-sklearn, python-matplotlib, python-joblib, xvfb, xauth, libgl1-mesa-dri, help2man, libjs-jquery, libjs-jquery-ui, libjs-d3 Recommends: python-nose, python-pytest, python-nibabel, mayavi2 Suggests: python-dap, python-pycuda, ipython Provides: python2.7-mne Homepage: http://martinos.org/mne Priority: optional Section: python Filename: pool/main/p/python-mne/python-mne_0.15.2+dfsg-2~nd17.04+1_all.deb Size: 4961446 SHA256: 000bae7a42ae5f37548a157231bf667333c3612422f9c094abebe34d16acc75e SHA1: afc5b89c149cc464109a642dcc42cc2c4cd2f44d MD5sum: 7cf37470c6a01c3e5ec47596b334c6b5 Description: Python modules for MEG and EEG data analysis This package is designed for sensor- and source-space analysis of MEG and EEG data, including frequency-domain and time-frequency analyses and non-parametric statistics. Package: python-mvpa2 Source: pymvpa2 Version: 2.6.3-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8572 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.3-1~nd17.04+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit, python-mock Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.6.3-1~nd17.04+1_all.deb Size: 5101730 SHA256: 0d622876c688fb0c0a2b8003d8ac7c5348d66c8b88021c5e838f2246c0e67de4 SHA1: 1fee54fd7e88e4112150f92d9ebbeaf77a733b65 MD5sum: 08b888e106c7817f1f5e6cc685991d3b Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.7 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.6.3-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36401 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.6.3-1~nd17.04+1_all.deb Size: 4715528 SHA256: 7ee439bb917655b29cc5f52b0bdb1a0379220cf1a964ce842ba75170cb680457 SHA1: 51cf4dd5f8da86f4f2e5a8be2502d4801e8ac99a MD5sum: e300896f91cdb823d327bab175b21027 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 266 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+nd17.04+1_all.deb Size: 92502 SHA256: 02e61ea715e95bb7a7bd932da98b9f84fde9f5cf3156cddb09d1ae8c43fba9a7 SHA1: f85c8577da6718a91e19b58e309b8c2554d6fbaa MD5sum: 866cde4638acfc870296c91121cebde2 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64681 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy, python-scipy Recommends: python-dicom, python-fuse, python-mock Suggests: python-nibabel-doc Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.2.1-1~nd17.04+1_all.deb Size: 2201182 SHA256: 4747ca48bc8d701136359d7eca2779814e0e34df455d744a1f794f24f51a5bb3 SHA1: 22b3be31868558cc8d384e8a61ffae1374c02df2 MD5sum: 80d1b4d1ea3e378f269903a8bc709c38 Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.2.1-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8990 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.2.1-1~nd17.04+1_all.deb Size: 1670734 SHA256: 78e1ae8c07ee5a30c1f4eb315736a50b8fbccf9d53e0a0374eecd656daf74dca SHA1: 0a44fd207e5214bdf818e8917789b2c6a629d34e MD5sum: ff26400f15f0402ddb79d4fc859a4fe6 Description: documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format. Package: python-nipy Source: nipy Version: 0.4.1-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3545 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.1-2~nd17.04+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.4.1-2~nd17.04+1_all.deb Size: 779980 SHA256: f68a2d319e65ac0e2ead316bdb7ed957ad7ec48141047a898dfb68c9887d6d1f SHA1: 6b329c6305b876a43bb8393ada47a4da47840bd1 MD5sum: 7838f499a855b1347ff811fde73095f0 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.4.1-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9623 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.1-2~nd17.04+1_all.deb Size: 1812238 SHA256: 8696e276084c420189aff1644033543c02c14b6e789b96da325bf4259debc62e SHA1: 1c58659825ffc5529779e5671657792328c1529b MD5sum: 174f1e8690707a985b9964605aaceedc Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-nipype Source: nipype Version: 0.14.0-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10609 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-configparser, python-dateutil, python-funcsigs, python-future, python-mock, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-pydot, python-pydotplus, python-pytest, python-scipy, python-simplejson, python-traits, python:any (>= 2.6.6-7~), python-traits (>= 4.0) | python-traits4, python-psutil Recommends: ipython, graphviz, python-xvfbwrapper, mayavi2, python-cfflib Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_0.14.0-1~nd17.04+1_all.deb Size: 1859740 SHA256: d86c65a9d60ffb4815b202e4820550f5b40145be41c8c68119c2894bb7279404 SHA1: 79b88c03a57f37d39a40c91c6312cac4e2124eb7 MD5sum: 34bdfe690a514747345de4bec30a3c46 Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 0.14.0-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42179 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_0.14.0-1~nd17.04+1_all.deb Size: 19296998 SHA256: 1135cbce267bc0a3c1233cba956c532927fc8175b531a3741255a2c3cf2ec5b5 SHA1: 7e5c74c2c490311de3d722c0ba46464d767bc786 MD5sum: a73e1a1eeb409b36c95a39a690b4ce94 Description: Neuroimaging data analysis pipelines in Python -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-nitime Source: nitime Version: 0.7-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9377 Depends: neurodebian-popularity-contest, python-matplotlib, python-numpy, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-nose, python-nibabel, python-networkx Homepage: http://nipy.org/nitime Priority: extra Section: python Filename: pool/main/n/nitime/python-nitime_0.7-1~nd90+1+nd17.04+1_all.deb Size: 2545240 SHA256: 30aceeae617de7f248b5f8ee7bceef3e04fbf14e007b902f23f4eff9a44e3b39 SHA1: 2e85cfa229ec4ab8bb308c68ceca735bcc7d57bd MD5sum: 80c681e8b4998604a78390240c73fe2f Description: timeseries analysis for neuroscience data (nitime) Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. Package: python-nitime-doc Source: nitime Version: 0.7-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6900 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nitime Homepage: http://nipy.org/nitime Priority: extra Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.7-1~nd90+1+nd17.04+1_all.deb Size: 4815508 SHA256: 0e27c1642050f173c20e346f047fd30a0daae339fde445a566fefe2b2b10fddf SHA1: d6c352247e5044e8b755f674a7b80445659f6132 MD5sum: 9fb933f9ed4eff7df0fc554eb65677a6 Description: timeseries analysis for neuroscience data (nitime) -- documentation Nitime is a Python module for time-series analysis of data from neuroscience experiments. . This package provides the documentation in HTML format. Package: python-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-coverage (>= 3.4), python-nose, python:any (>= 2.6.6-7~) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python-nosexcover_1.0.10-2~nd90+1+nd17.04+1_all.deb Size: 5208 SHA256: 6026fdadf75a2e2b6a4bb34f1432f3a1d81dfe3164f07a52f1eee1c060b47bbf SHA1: 3fd5495ff87f3492776fc2dded7eb763a1b677dd MD5sum: 48c6ffa37e01d0ab9d97f9341f49f9a4 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1525 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-et-xmlfile, python-jdcal, python:any (>= 2.6.6-7~), 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~nd17.04+1_all.deb Size: 221700 SHA256: b631b46726f622c058af6e6d9fd5f8d33b019e817674e96f258ffd2bac845814 SHA1: 718ef6eaf4fe4c0448987b251f63bbe2beaa23a7 MD5sum: 9eb4c534b3b7b62193db8e07cf2d7a20 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, python-pyparsing, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python-packaging_16.2-2~nd90+1+nd17.04+1_all.deb Size: 17086 SHA256: cf650756b0229cb91ff40e7bc3770a55d4968a0dbe834eaacaed3ba09f5924c0 SHA1: d30d14d33981728ad2db1c89ab0042a3f4170bcc MD5sum: 8b0f112660420d93873dc7b142a95fa5 Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python-pandas Source: pandas Version: 0.20.3-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25672 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-dateutil, python-numpy (>= 1:1.7~), python-tz, python:any (>= 2.6.6-7~), python-pandas-lib (>= 0.20.3-2~nd17.04+1), python-pkg-resources, python-six Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib, python-lxml Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.20.3-2~nd17.04+1_all.deb Size: 2625288 SHA256: 28cdb9ff3b3e522ab920dd98af9b5ae3074dd57065a1be9302b49987f9705ed6 SHA1: a89d87513af7b771952b06592de286c3f08a1cdc MD5sum: 29ea153db51d147d86b44ed0e513574b Description: data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. Package: python-pandas-doc Source: pandas Version: 0.20.3-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 55305 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: doc Filename: pool/main/p/pandas/python-pandas-doc_0.20.3-2~nd17.04+1_all.deb Size: 5498946 SHA256: b0184644983bd67cbb300da0c74092d312248a7881b00f3e0023725b27c13ba5 SHA1: c6fbb23ba8fc8e7ceb612caa8cb3e8037ba0434f MD5sum: 2fad2dd3f456bc206a401411afad8006 Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-patsy Source: patsy Version: 0.4.1+git34-ga5b54c2-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 779 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-six, python:any (>= 2.6.6-7~) Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.4.1+git34-ga5b54c2-1~nd90+1+nd17.04+1_all.deb Size: 168248 SHA256: c1969363bd0af03e309f7fa2e76626195e64575c8f3424016e9d4f71a6673121 SHA1: 153988e6a3a3d3f80099dc2948ebdee31e2547e9 MD5sum: f79e9bd4294cbe081ace3673ed631e55 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 2 version. Package: python-patsy-doc Source: patsy Version: 0.4.1+git34-ga5b54c2-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1061 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-patsy Homepage: http://github.com/pydata/patsy Priority: optional Section: doc Filename: pool/main/p/patsy/python-patsy-doc_0.4.1+git34-ga5b54c2-1~nd90+1+nd17.04+1_all.deb Size: 232910 SHA256: 65349fd33a1f2829e7a13db6f0fd86890eb3aac50b073280697ffa45e45f5011 SHA1: 82dc363d3fb361599823e0b476777353e78ab98c MD5sum: 949e823288b6399830d4a61d22747caa Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 441 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 141414 SHA256: 990b36b27430e8c4a96b7e6645c2004a5a64367143dcf403c147991e0c5f6d88 SHA1: d23abaffb28a711ebb824333b6319208da24bbc5 MD5sum: 6c5f81b9fc8e497a0b579e79075cb60b Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: python-pprocess Source: pprocess Version: 0.5-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-pprocess Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-2~nd17.04+1_all.deb Size: 83138 SHA256: ac61bfb29ceceb844c817986f17cfb562a6b98fb9d3160ccc8c01efd1cb481b5 SHA1: 5ba29de6ac9b97f08351884f66f3c445f1db6f30 MD5sum: 4cd0a2362f5431dcbf03a8677485a09c Description: elementary parallel programming for Python The pprocess module provides elementary support for parallel programming in Python using a fork-based process creation model in conjunction with a channel-based communications model implemented using socketpair and poll. On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Package: python-props Source: props Version: 0.10.1-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 651 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-matplotlib, python-numpy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-props Priority: optional Section: python Filename: pool/main/p/props/python-props_0.10.1-1~nd90+1+nd17.04+1_all.deb Size: 117364 SHA256: c9f0bca03e02cbb7d5bf0cdb04ddea4a318df08ad1f79752136fe37cce140fa9 SHA1: 7d94971be13122fc5aa6656d5655f7e0c48a39c3 MD5sum: 3208bc1bfc1fcb121dc869d59eb2d66d Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-prov Version: 1.5.0-1+nd1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1951 Depends: neurodebian-popularity-contest, python-dateutil, python-lxml, python-networkx, python-rdflib, python-six (>= 1.9.0), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-prov-doc, python-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python-prov_1.5.0-1+nd1~nd17.04+1_all.deb Size: 100644 SHA256: c2cbe19cf3c07d0395effd059da6d6c78706cb0edb62acaa164f65d77d7256de SHA1: dcabb5ea186e42c5aa3888349218b66a8a0335f6 MD5sum: 8a794e5c42513e27faac1bcd4f2dd333 Description: W3C Provenance Data Model (Python 2) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 2. Package: python-prov-doc Source: python-prov Version: 1.5.0-1+nd1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 947 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/trungdong/prov Priority: optional Section: doc Filename: pool/main/p/python-prov/python-prov-doc_1.5.0-1+nd1~nd17.04+1_all.deb Size: 74222 SHA256: 508b9543578e7ae5c5961bf8f257ac12ae8cdc6c3ab3873ae3d56d6e79a79c4c SHA1: b5c3117d0b5408580eba116cedf0baa57b0c2b90 MD5sum: f45cecae228b3b53fdeeaa0d628deb90 Description: documentation for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the documentation for the prov library. Package: python-py Version: 1.4.31-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Suggests: subversion, python-pytest, python-pytest-xdist Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python-py_1.4.31-2~nd90+1+nd17.04+1_all.deb Size: 82238 SHA256: 590fa361f08fc875cc4581e7ece324b9ab1efa66f0920954e0e24f1eca25a8c2 SHA1: d772f00d1a2233670178e6a4f4029f17cefe80aa MD5sum: 03af0c9d935754f7613631b06703d1be Description: Advanced Python development support library (Python 2) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 2 modules. Package: python-pydotplus Version: 2.0.2-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python-pyparsing (>= 2.0.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python-pydotplus_2.0.2-2~nd17.04+1_all.deb Size: 20332 SHA256: 0de7dd6d2935d08b3307240b13078cf781881135ab5d07136d98de319ce737e5 SHA1: 75d02b7ceba7e0712f25591a1d2f119bb1821c2d MD5sum: 73ff45fa0ddf5ad854d38dfd1a9f4813 Description: interface to Graphviz's Dot language - Python 2.7 PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 2.7 module. Package: python-pydotplus-doc Source: python-pydotplus Version: 2.0.2-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 523 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-pydotplus/python-pydotplus-doc_2.0.2-2~nd17.04+1_all.deb Size: 45186 SHA256: 303f8d37a478b4b5aa43d5bec78cde01afa36e199f1d2b49f2d30730f1ba3349 SHA1: e838dfb4658d75ecf9be117f75abfec6dc41c34b MD5sum: 5eb97f43c4ae45059f7c55cd12c76e12 Description: interface to Graphviz's Dot language - doc PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the documentation. Package: python-pyglet Source: pyglet Version: 1.3.0-1~nd17.04+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~nd17.04+1_all.deb Size: 1423802 SHA256: bb5c81bd2de5f162ffbd05e375504d31d3ffbef51af57d0cbcdfef12d90c6832 SHA1: 94aa0d9e13692a3c2c8d1b782bd4c31ee9982cc1 MD5sum: 82a2a224bb057a951656ad8d4ade357b Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-pygraphviz-doc Source: python-pygraphviz Version: 1.3.1-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 310 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://pygraphviz.github.io/ Priority: optional Section: doc Filename: pool/main/p/python-pygraphviz/python-pygraphviz-doc_1.3.1-1~nd90+1+nd17.04+1_all.deb Size: 66074 SHA256: 619bb48f04a59b534a5125231bf41f8bf2b64139bff507a26cfdbe176ef7b594 SHA1: f242d242901e61c04220470def51cfd1958091fa MD5sum: 097ba612cde7f8dec66dc5dc80e68487 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~nd90+1+nd17.04+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~nd90+1+nd17.04+1_all.deb Size: 136482 SHA256: d902386fa787957c993c4780e0289a9a786717ebb8e585107a4403e3a02dcd8a SHA1: 64cbeb798c411738a2af92975711bab6d48d5bbf MD5sum: f187bf86f90398c7074aa382601e9171 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~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3978 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~nd90+1+nd17.04+1_all.deb Size: 622818 SHA256: e0a3f4c4c6ea3e6ce549b220abd6ffdc66a0b6148b7427addf0e45adaeb2c6a3 SHA1: cc7cd5c63a1a965a387823908983f1d65c951b08 MD5sum: 8b62881a6ae3c39751e2750f68c83b5e 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 31 Depends: neurodebian-popularity-contest, python-pytest, python-tornado, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python-pytest-tornado_0.4.4-1~nd90+1+nd17.04+1_all.deb Size: 5690 SHA256: 1261f81d617e3e5a49f63fc98abbda2ccefdc6e97d4e3b19557e00092f37453e SHA1: eb5634b9eefba5a59fec670e87e3b01b00de9314 MD5sum: 2665f750be87aaba71e4e5649633134d 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 319 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), 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+nd17.04+1_all.deb Size: 49758 SHA256: 2a8b207dbe6100a28ebba9d7698506b4d03bbd974b995d1eca7e1a744c9cf622 SHA1: e6a56bcd51505e57ecf7a66339568d4cdea5b4d9 MD5sum: 89b4fab15443eb81edd37a3c56bd7cce 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1240 Depends: neurodebian-popularity-contest, python-isodate, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-sparqlwrapper (>= 1.7.6~), python-html5lib Suggests: python-rdflib-doc, python-rdflib-tools Provides: python2.7-rdflib Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python-rdflib_4.2.1-2~nd17.04+1_all.deb Size: 238048 SHA256: dcb9bd9919ab74865ac539564f8b0d6de001022c301352979966a2f59928f4eb SHA1: 96f063d56b05948200b635af2a7f48e154500d91 MD5sum: 0266b36c2e4b34eae4a5eef0ba0cda0a Description: Python library containing an RDF triple store and RDF parsers/serializers RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains the Python 2 version of RDFLib. Package: python-rdflib-doc Source: rdflib Version: 4.2.1-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8128 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.5.3-1) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: doc Filename: pool/main/r/rdflib/python-rdflib-doc_4.2.1-2~nd17.04+1_all.deb Size: 587136 SHA256: 28ecf7c4cbef2f9f26f861bbc495b755621176fab77ddafba107ded6211ba38a SHA1: 5a044e70763480b116b4477491f484174707322b MD5sum: 24968409297e7d800370a2dc93d8c113 Description: Python library containing an RDF triple store [...] (documentation) RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This is the common documentation package. Package: python-rdflib-tools Source: rdflib Version: 4.2.1-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 Depends: neurodebian-popularity-contest, python, python-rdflib (>= 4.0.1-1) Breaks: python-rdflib (<< 4.0.1-1) Replaces: python-rdflib (<< 4.0.1-1) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python-rdflib-tools_4.2.1-2~nd17.04+1_all.deb Size: 11862 SHA256: 1223f1a4c4e699a2f4606e54d127c943984f1a4c5eed7971b99fc597ed7db6e4 SHA1: 6646069d5a164dc4d537d79b5286a36e6aba9604 MD5sum: f9f0381238d9c703117a4365195353a8 Description: Python tools for converting to and from RDF RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains some executable tools. Package: python-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python-urllib3 (>= 1.12), python:any (<< 2.8), python:any (>= 2.7.5-5~), ca-certificates, python-chardet Suggests: python-ndg-httpsclient, python-openssl, python-pyasn1 Breaks: httpie (<< 0.9.2) Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests_2.8.1-1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 68168 SHA256: e0194b900641ca8053716075a4009f8247b16318805493e07c7724a3ac5ee11e SHA1: a029c8a719210adcb48b67b19cb13444110a1f20 MD5sum: 10e3b84e0e61323581fc9557ace80ab6 Description: elegant and simple HTTP library for Python2, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts Package: python-requests-whl Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 353 Depends: neurodebian-popularity-contest, ca-certificates, python-urllib3-whl Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests-whl_2.8.1-1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 319078 SHA256: ec7ba76cf4529310b032c97e6228b9b476b998d21f485254b35167225e7acf47 SHA1: 5af694c2c1ec5b30f5109a235e5a315a29f8e862 MD5sum: 1104b19eb3992128c8c5e77b5e23e05b Description: elegant and simple HTTP library for Python, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package provides the universal wheel. Package: python-rpaths-doc Source: python-rpaths Version: 0.13-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 118 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.5.3-1) Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: doc Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd17.04+1_all.deb Size: 21844 SHA256: bb63f33a255182139ddc4f40348719663570375dbc8d7943c8cb632b803ef174 SHA1: 8ffea02301bb63f73c1ca04517475a3d5a038d70 MD5sum: 7751d003a6e79d125de944a2b11f12ce 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~nd17.04+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~nd17.04+1_all.deb Size: 85544 SHA256: db80b111a3ee77aa2152e3840bc7428f259080d72fe7f9c7baa4f0a7c1590e43 SHA1: a991b0127f2f4e3fcdc0436e5d7d39474d9cb680 MD5sum: 624aac415c044b1f7361e2b601663dfa Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 520 Depends: neurodebian-popularity-contest, python-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-setuptools-doc Provides: python-distribute Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python-setuptools_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 202936 SHA256: ab09ed53394928b362ae2249361c2c566d51bc7822d131d4d8906718e133d002 SHA1: 910efb5304fd34eb8356f2b07097b1f416c0082a MD5sum: 552b597c6fb2452986a3a8fd14bb59d3 Description: Python Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: python-setuptools-doc Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1143 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: doc Filename: pool/main/p/python-setuptools/python-setuptools-doc_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 198164 SHA256: 68e362b3a18e4251a6dc4e9a0a8fb4a8b37668a2f2267cd88e86c0564ab64f9b SHA1: 9de41973102e3dde0f8ce87b7244c518340f0410 MD5sum: 0a46fc536846995f76946628ad721a8f Description: Python Distutils Enhancements (documentation) Extensions to the Python distutils for large or complex distributions. The package contains the documentation in html format. Package: python-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 47 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python-setuptools-scm_1.8.0-1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 10238 SHA256: 85aa5913a27e778413f580321506b810eace406bb00ce5de3907e79b324974ff SHA1: 03de6016dacd60d0ffe9e3cf5bb5963a5e49f4de MD5sum: 5beb90e3f4e691864003cfb1510bec0b Description: blessed package to manage your versions by scm tags for Python 2 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 2. Package: python-six Source: six Version: 1.10.0-3~bpo8+1~nd17.04+1 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~nd17.04+1_all.deb Size: 11746 SHA256: 5fa61b60e5c91c27d80e527960a16581bbbe19ea5c08448f70c9781c994a2dc5 SHA1: 32e1423380387da94a76cdc1ca010c4ad3e13c65 MD5sum: e867019039f336f75d858b78d7015f2a 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+nd17.04+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+nd17.04+1_all.deb Size: 13310 SHA256: bff9b290917a0965c7553a307d15b4970f60120083150cfcfb9a78c3b1fd1787 SHA1: 453918e62f17161a1b0d4737938402a3f6c3ca72 MD5sum: ce4a02f78998184808a02d85b629091d 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~nd17.04+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~nd17.04+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~nd17.04+1_all.deb Size: 1456538 SHA256: e4bb6f1281438a9220e5bcd95d1b7233aaf8a836a7ef33bca3016a25d729e73e SHA1: b1bc0c5e9384f464d8d197e426c293ba615a5414 MD5sum: 4e1dd74fc132957edb455dd23829a08e 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 33312 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.19.1-3~nd17.04+1_all.deb Size: 5115692 SHA256: 27726d985e52be40bb028409d71aa5e66d7b6c37cc94feb98496ddbdf3c2e22e SHA1: fcd28004c5fee5e1ccf8bfa6684e3815201dc938 MD5sum: 062538a325f2fab867a1e0c696f17c20 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-smmap Version: 2.0.1-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Suggests: python-nose Provides: python2.7-smmap Homepage: https://github.com/Byron/smmap Priority: extra Section: python Filename: pool/main/p/python-smmap/python-smmap_2.0.1-1~nd90+1+nd17.04+1_all.deb Size: 20130 SHA256: 7814db093ee26d4db8263b2c4c56eeb94e4aebb0d7ece8af5bf2dd0164af5057 SHA1: 2b1a2ecb7e38934336f46335c2fd8c24247a8869 MD5sum: 46ce8670fcef308d8fa4dee1b3c3de23 Description: pure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 2. Package: python-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 360 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python-sphinx-rtd-theme_0.1.8-1~nd90+1+nd17.04+1_all.deb Size: 117292 SHA256: fc1261090165284cb921f7dac26cf7dfa9baf0a5defdcf6047f8b1a8187a84b4 SHA1: 981df35621735fa1683f003214435128a94d02b6 MD5sum: 003dfab79920dafae0d80b5287524561 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4177 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), 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+nd17.04+1_all.deb Size: 1627064 SHA256: 9d3a6b8037a498fa57520778d9484c6bab5f8d65f7db7c72e86f3359d086661d SHA1: 9391d91309d991f5952f91b9077397ba3ea76e0a MD5sum: 1715c4c30fb4fa3abf915ea37ae37c15 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~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15922 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-statsmodels-lib (>= 0.8.0-1~nd90+1+nd17.04+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~nd90+1+nd17.04+1_all.deb Size: 3315750 SHA256: e22662befcf858c63cb1d3e3e20e1720695f7b7e7f629f0c8b37a693ee392520 SHA1: 5e34e2c791b8f3fc22a1ec2ead058f087a1dc19a MD5sum: c296646552f3e3004bc3cb2e6f0c92ac 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~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 54397 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~nd90+1+nd17.04+1_all.deb Size: 9022114 SHA256: e7c9c2bf6a6941d05c35268504916517a57d5d82dfc3ee0a0e9121487bc3be3c SHA1: 6b3ccd424dea5612ebc1efb60fcfcb5b3d08fd8c MD5sum: e104a3e3e159a615e13c0ad47c1a748f 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~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 197 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-nibabel, python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-pil | python-imaging, mayavi2, python-argparse Recommends: mencoder Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.7-1~nd90+1+nd17.04+1_all.deb Size: 42552 SHA256: 84734c9dcd1856ae1601b888525dccbe33d454e3408bbafd4aab2f340b2fdd3f SHA1: bd164fd656c0a2f009f5ff2bcaaf7814db7dfa00 MD5sum: c16a107dbb114ebc3bb371a22ea1acc4 Description: visualize Freesurfer's data in Python This is a Python package for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi’s powerful visualization engine with a high-level interface for working with MRI and MEG data. . PySurfer offers both a command-line interface designed to broadly replicate Freesurfer’s Tksurfer program as well as a Python library for writing scripts to efficiently explore complex datasets. Python-Version: 2.7 Package: python-tqdm Source: tqdm Version: 4.11.2-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 179 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/tqdm/tqdm Priority: optional Section: python Filename: pool/main/t/tqdm/python-tqdm_4.11.2-1~nd90+1+nd17.04+1_all.deb Size: 49702 SHA256: a0364f9b1e9039dc7e3c587ec6ab2350d7f0752c8b0c300af6bf18d99e59a186 SHA1: 9a3674d6d1258b7c31f466dbc615683b4c383241 MD5sum: 790297e9f1363990157f52011177a39f 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, tzdata, python (<< 2.8), python (>= 2.7), 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+nd17.04+1_all.deb Size: 31000 SHA256: bef25bcf179f06b950e98c34eae805ff4fd572bd48b8cc261376cf694005726b SHA1: 5cf990140046ad6fddfb58bac708a0bc21f56307 MD5sum: 36ed6a910acfd68f24c0cb435a21ad67 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Recommends: ca-certificates, python-ndg-httpsclient, python-openssl, python-pyasn1 Suggests: python-ntlm Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3_1.12-1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 65400 SHA256: 5c1a14434411432e5354c8865dd3f87b7812b6b93e81e5fe47375803164e34dc SHA1: 0cea1ba0bcf3057721d61ed4792ed85cb833a688 MD5sum: 0e6d26a58eb0f4d3a1bc59750ecfded6 Description: HTTP library with thread-safe connection pooling for Python urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. Package: python-urllib3-whl Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 102 Depends: neurodebian-popularity-contest, python-six-whl Recommends: ca-certificates Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3-whl_1.12-1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 92890 SHA256: 302a86520944da80738d77fa79e6d4cd2f0388756806625880f9325445f7eae7 SHA1: c86e6f62b116e7be20d31ff2763910ddce75adad MD5sum: c1aa10888c53546558762756d6fbace5 Description: HTTP library with thread-safe connection pooling urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the universal wheel. Package: python-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd90+1+nd17.04+1 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+nd17.04+1_all.deb Size: 43764 SHA256: 256844300b0efc5af2d1f6cf1da5ad7a7be072bc6eab580f5daea98f466cf3d2 SHA1: 192a65bb7b3d02a8162a41023dd67cd8e852ce8b MD5sum: 5c06dc31d5cd8ebfc328573de766ec08 Description: record and replay HTML interactions (Python library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 2. Package: python-w3lib Version: 1.11.0-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 58 Depends: neurodebian-popularity-contest, python-six (>= 1.6.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python-w3lib_1.11.0-1~nd90+1+nd17.04+1_all.deb Size: 14094 SHA256: b028813f8dd834624ba5aefdfdd67f475108eda74aa57c92227f49fa1294d7ad SHA1: 6e559e97f4633baf82405c1cd12f853c6d2b0784 MD5sum: 5294c082965e544476a98446075f3072 Description: Collection of web-related functions for Python (Python 2) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 2 version of the package. Package: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-jquery Recommends: python-simplejson | python (>= 2.6), python-openssl, python-pyinotify Suggests: ipython, python-genshi, python-pkg-resources, python-lxml, python-greenlet, python-redis, python-pylibmc | python-memcache, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python-werkzeug_0.10.4+dfsg1-1~nd90+1+nd17.04+1_all.deb Size: 163908 SHA256: b92d7b5dd1116c84726837f2c63aedfe6f61d6144a8f2c688f916e5c4c26c621 SHA1: 5d4e33d1fbf128fc285651602847187d4374f128 MD5sum: 34ce99c98cabcae9ff2c523ed7e0bc08 Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-werkzeug-doc Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2728 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Conflicts: python-werkzeug (<< 0.9.3+dfsg-2) Replaces: python-werkzeug (<< 0.9.3+dfsg-2) Homepage: http://werkzeug.pocoo.org/ Priority: extra Section: doc Filename: pool/main/p/python-werkzeug/python-werkzeug-doc_0.10.4+dfsg1-1~nd90+1+nd17.04+1_all.deb Size: 878298 SHA256: 1cc5be8ca88a1075a17f63a81344f52503210045db0a3b946a3dced4e32480c4 SHA1: d72d4f7b48e2982cdd465cb7b8c5dd3be20fa103 MD5sum: 3acdad5716f9196af0746a34cabe7d9f Description: documentation for the werkzeug Python library Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python-whoosh_2.7.4+git6-g9134ad92-1~nd17.04+1_all.deb Size: 290774 SHA256: bed736f21dae859f17a1350ff45f2256916b26ef941b4889c8001261ebc4294c SHA1: 104faddd0782a93ce3443e301cef9bc81fa40582 MD5sum: d5713221baf6fe12fca7e00ab984c76a Description: pure-Python full-text indexing, search, and spell checking library (Python 2) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python2 library Package: python-whoosh-doc Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2213 Pre-Depends: dpkg (>= 1.17.14) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Replaces: python-whoosh (<< 2.1.0) Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: extra Section: doc Filename: pool/main/p/python-whoosh/python-whoosh-doc_2.7.4+git6-g9134ad92-1~nd17.04+1_all.deb Size: 241342 SHA256: d248272e99b3c491a4eaaf5f7c01cc0cd2d86f9e46370e717808a74c05f2ce71 SHA1: 166d4ecc9440ce8d14786eee5555cc498e4be27b MD5sum: cd768083bd8e3e66965b0ed5cce443ae Description: full-text indexing, search, and spell checking library (doc) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the library documentation for python-whoosh. Package: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 458 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: doc Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd17.04+1_all.deb Size: 49610 SHA256: 0bd8741cfb63c782248ca3eb3e2f854513fa48c0e09113f48387255d66fc1e6c SHA1: 005580713d3d558aae3832e72d054fed7eb7ebca MD5sum: aea6880ceecfba11c2a25fafe98032c2 Description: decorators, wrappers and monkey patching. - doc The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the documentation. Package: python3-argcomplete Source: python-argcomplete Version: 1.0.0-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python3-argcomplete_1.0.0-1~nd90+1+nd17.04+1_all.deb Size: 21070 SHA256: 486ead6f9058487fbb33420f7181d82b85395a7b1957743249aac57cc2c1e1b7 SHA1: ba89f0a2e1293ad188db19b8845d07e884562a37 MD5sum: 2d1dab1b9978730141bff41a57cf66f8 Description: bash tab completion for argparse (for Python 3) Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 3.x. Package: python3-boto3 Source: python-boto3 Version: 1.2.2-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 716 Depends: neurodebian-popularity-contest, python3-botocore, python3-jmespath, python3:any (>= 3.3.2-2~), python3-requests, python3-six Homepage: https://github.com/boto/boto3 Priority: optional Section: python Filename: pool/main/p/python-boto3/python3-boto3_1.2.2-2~nd90+1+nd17.04+1_all.deb Size: 58098 SHA256: 83a09983161f0749bada47702c7b9bccc20068d030cc0646f350ef5bfcaded75 SHA1: 2fbcfc6b7b15bbb56b1b02fc532d550d72c4c901 MD5sum: b8c2cfa811e83aaac85a93ffa1e993ba Description: Python interface to Amazon's Web Services - Python 3.x Boto is the Amazon Web Services interface for Python. It allows developers to write software that makes use of Amazon services like S3 and EC2. Boto provides an easy to use, object-oriented API as well as low-level direct service access. Package: python3-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 776 Depends: neurodebian-popularity-contest, python3-lxml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python3-citeproc_0.3.0-1~nd90+1+nd17.04+1_all.deb Size: 81984 SHA256: 9e7f8d68ed1f809b60549eff959326e80ec74601fa0afd86a572a2dc5974a4d2 SHA1: b374d1a806e5a4dfb90e1ec9e104db54aab7aadb MD5sum: e8bac38b81382ac8c3af561bbe208c5d 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~nd17.04+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~nd17.04+1_all.deb Size: 56268 SHA256: 763a201b6b1179ecf9b7be64bfc4f02aa3cece585acef9c0151a90b350b37153 SHA1: bd5c43a6463fa5622f1909343560e9589acceb85 MD5sum: a503e5754031518a028ffb50beba0898 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python3-contextlib2_0.4.0-3~nd90+1+nd17.04+1_all.deb Size: 8788 SHA256: ab2ee7448953d3bd99a2b68d4823ef8c8aef4686665ee51087ecc8cc8822c6a7 SHA1: 3609806438b37bb8ee544aefb1870b7407401440 MD5sum: cbe08459b4253d8a7e97b847bbd200f3 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, python3-requests (>= 2.5.3~), python3-six (>= 1.4.0), python3-websocket (>= 0.18.0~), python3:any (>= 3.3.2-2~) Homepage: https://github.com/dotcloud/docker-py/ Priority: optional Section: python Filename: pool/main/p/python-docker/python3-docker_1.7.2-1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 27258 SHA256: dfb592745993322ffa244fb90aface53ad19b27ad36f38179f3b4cb9a75de2f1 SHA1: 40532b0d18a749d07b5f64b1cfc245f2cbfbf146 MD5sum: b321d00265f7522f296bc370f109ef53 Description: Python 3 wrapper to access docker.io's control socket This package contains oodles of routines that aid in controling docker.io over it's socket control, the same way the docker.io client controls the daemon. . This package provides Python 3 module bindings only. Package: python3-dockerpty Source: dockerpty Version: 0.4.1-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-docker (>= 0.7.1) Homepage: https://github.com/d11wtq/dockerpty Priority: optional Section: python Filename: pool/main/d/dockerpty/python3-dockerpty_0.4.1-1~nd90+1+nd17.04+1_all.deb Size: 11038 SHA256: 56180ed8df348485d4f6cd24f9b3e1669067c291773258fc999f79814d062402 SHA1: b82142b7de9bbfd5494a158b3e1d70cfc887cdd8 MD5sum: 89745bbc2bec6d99cf9e2091aff07d8a Description: Pseudo-tty handler for docker Python client (Python 3.x) Provides the functionality needed to operate the pseudo-tty (PTY) allocated to a docker container, using the Python client. . This package provides Python 3.x version of dockerpty. Package: python3-fsl Source: fslpy Version: 1.2.2-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 404 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-indexed-gzip, python3-numpy, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-1~nd17.04+1_all.deb Size: 84156 SHA256: c9f2a7b0147c96c61996080e0b1efe9ad0f49deb108288db48dd570c7d7ed4b7 SHA1: 78e7e7852377889fbd382bc6f3ead9511045780b MD5sum: eeb4d67fb15948324e36932aed86ac8d Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-funcsigs Source: python-funcsigs Version: 0.4-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-funcsigs-doc Homepage: http://funcsigs.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-funcsigs/python3-funcsigs_0.4-2~nd90+1+nd17.04+1_all.deb Size: 12894 SHA256: a17c29bcbb5bf537030d532596c7278fb9342115702ac782be383aa66ff6b672 SHA1: 3c6e2ce022eef488d39232832eb937c53d579ae9 MD5sum: 3a0ad033426f31f821327eb50fdd5e0f Description: function signatures from PEP362 - Python 3.x funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the Python 3.x module. Package: python3-future Source: python-future Version: 0.15.2-1~nd90+1+nd17.04+1 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+nd17.04+1_all.deb Size: 333270 SHA256: d10007a9bac99cd4b8edaed0a44382d242951732cde6bc665a62b65d39f6dce1 SHA1: 04a537b3051fafffcbaaa20709f6610c57454897 MD5sum: e8b030a470c79d26a41b0a27658e218a Description: Clean single-source support for Python 3 and 2 - Python 3.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 3.x module. Package: python3-git Source: python-git Version: 2.1.8-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1650 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any (>= 3.3.2-2~) Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_2.1.8-1~nd17.04+1_all.deb Size: 303382 SHA256: 62deffb2f83c71a6ed6c28059d4bacaf6499c60f2fa129aacbaee6724b1235e3 SHA1: 96c04c9c55aa0936df1b21755f3b2bdf05f14f99 MD5sum: 1afe88d58fd175cdbab5e10d8e35167f Description: Python library to interact with Git repositories - Python 3.x python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 3.x module. Package: python3-github Source: pygithub Version: 1.26.0-1~nd90+1+nd17.04+1 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~nd90+1+nd17.04+1_all.deb Size: 44942 SHA256: 8ffed32595a25a6ed94cb5e48fbecc6aa1194f8fbdb85e33dfa26f76771d23fe SHA1: 632a8787b5d7f8b1fb887e3e66c3ebfea9976af6 MD5sum: 30d324898a760ecedfb069467a389e46 Description: Access the full Github API v3 from Python3 This is a Python3 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python3-humanize Source: python-humanize Version: 0.5.1-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python3-humanize_0.5.1-2~nd90+1+nd17.04+1_all.deb Size: 12746 SHA256: a418cce8afbecc069a057b7bb27df73a7db4d2295d1799c2136dd6b61b1b43b4 SHA1: c6750a116a26f3e180a274e27524e700d4446ba6 MD5sum: 5f0f2812a704434ecac328c6757dcbb8 Description: Python Humanize library (Python 3) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 3 version of the package. Package: python3-hypothesis Source: python-hypothesis Version: 3.6.0-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 386 Depends: neurodebian-popularity-contest Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python3-hypothesis_3.6.0-1~nd90+1+nd17.04+1_all.deb Size: 70210 SHA256: cfd897e1a2802874aab6566e83227b45fb9858f2414f2fcea493c4e4542a9c64 SHA1: d323e1acfed98ef571dce1491dc1e3254ee73832 MD5sum: b2b635df6965ecb019a0805000a422cb 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+nd17.04+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+nd17.04+1_all.deb Size: 7562 SHA256: 4bd8bd60e3fc1fda4dcbaedc458f53b5c91e444bc751e10a8f7c866bc1fe9618 SHA1: 804ce7229053b3ad6b192dd09dad5cb443556d7c MD5sum: 53fcd937e91ad6f0f4b6efbce098543d 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 500 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-pytest, python3-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.11-1~nd17.04+1_all.deb Size: 117558 SHA256: dae60916ff0b7e7cb0af687209cee48cdd0dccaf8eb7ad9d45d5d7ec33042f19 SHA1: 9d8cc331935300c65bac54e0ec28865fdc89db10 MD5sum: d918844f4c1b54d91a66fd58fab6f815 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 3 version. Package: python3-jsmin Source: python-jsmin Version: 2.2.1-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/tikitu/jsmin Priority: optional Section: python Filename: pool/main/p/python-jsmin/python3-jsmin_2.2.1-1~nd90+1+nd17.04+1_all.deb Size: 21654 SHA256: 7a0bf698d2bcf64f29fcc46cbc80dd4aef4711faedac2d638f44fd2af2a8a179 SHA1: 04ff4c38bea3b69c668b3a03990bcd11912c57a3 MD5sum: 7cdd56db52f45b5b179e01bbf3f23257 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~nd17.04+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~nd17.04+1_all.deb Size: 18918 SHA256: 69204977c37565a11782181dbf4ed746458ad31a6cc256811fd3c542a6274e77 SHA1: cccb47926282f913bafd8dfd71e7936713ffe566 MD5sum: 6b38951f58f563dc16b128f0f4db64fb 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+nd17.04+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+nd17.04+1_all.deb Size: 275048 SHA256: 504380fa6bcaeae939abe15412441b4e5fe4caad8cde03b26a8233def6bd817f SHA1: e6f8d03107d15b4674e02050f003cf6778b66a13 MD5sum: b1876b9d499eb7e434f4d5fd44aeb60a 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~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64653 Depends: neurodebian-popularity-contest, python3-numpy, python3-scipy Suggests: python-nibabel-doc, python3-dicom, python3-fuse, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.2.1-1~nd17.04+1_all.deb Size: 2193208 SHA256: 18031ccb7949304dfa966449568e7af71eaf5604c298efac80627999bf81e4e1 SHA1: 8a605cd17ccd52e6d55d2d32f096692eee66e402 MD5sum: de3eb99dacc46d0f90fc6c3f395cad59 Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, python3-coverage, python3-nose, python3:any (>= 3.3.2-2~), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python3-nosexcover_1.0.10-2~nd90+1+nd17.04+1_all.deb Size: 5266 SHA256: 8c8fbd3c1c37892430e1d43dcc0e3a0ba6634bc5a065c8ae745be7d9ad564731 SHA1: ba4ddd95401c8f23c6db94b2d83bba673321f03d MD5sum: a8a4a93dbbfad5471978519e9d591d43 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~nd17.04+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~nd17.04+1_all.deb Size: 220790 SHA256: bb42a804f8bd238851acca9fd49116402c41bc5aa8478237d09cb18360cc03fc SHA1: 2e01e3d4076de464e044bcc84abbb20930432416 MD5sum: 1563dd445ed76e3c7812839829a32d66 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, python3-pyparsing, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python3-packaging_16.2-2~nd90+1+nd17.04+1_all.deb Size: 17168 SHA256: 19ca9e832174000e62d38d1e6b13ac130dd1e4d7a0d242abce7c41edfdf41b46 SHA1: 45ad69bd15c6f3bfb1915b96d5431d7a662e2c5c MD5sum: b8508463911a3e0b3afd4ffce3976e3c Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python3-pandas Source: pandas Version: 0.20.3-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25646 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.20.3-2~nd17.04+1), python3-pkg-resources, python3-six Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-lxml Suggests: python-pandas-doc Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.20.3-2~nd17.04+1_all.deb Size: 2624096 SHA256: d156e0d55430f1d778b3fe939f890668bc29756c4ac1a8557dceac406853f344 SHA1: 7659dec41b3e07773f0ab174367b96eff290201b MD5sum: 43f4789e183400a3d23b1358ddcc5739 Description: data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version. Package: python3-patsy Source: patsy Version: 0.4.1+git34-ga5b54c2-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 778 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.4.1+git34-ga5b54c2-1~nd90+1+nd17.04+1_all.deb Size: 168258 SHA256: dd8c525f9ec7bab82e6f959d9da4503765ebe77f0637fa6517477acfff52d0d2 SHA1: abe7fe0dd1e25ec95930ca207a44cdc950035304 MD5sum: a0984dadccb2252f3c8e09ced92130fa Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 3 version. Package: python3-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python3-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 112092 SHA256: 5418f10570294b68968b6142c399806ee5f856abd1326608079abb668d243a3a SHA1: 601e987917e94fe59ac80e8861ac671d520b4c0f MD5sum: 4454113667b98d4a7145418edf43301e Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: python3-prov Source: python-prov Version: 1.5.0-1+nd1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1951 Depends: neurodebian-popularity-contest, python3-dateutil, python3-lxml, python3-networkx, python3-rdflib (>= 4.2.1), python3-six (>= 1.9.0), python3:any (>= 3.3.2-2~) Suggests: python-prov-doc, python3-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python3-prov_1.5.0-1+nd1~nd17.04+1_all.deb Size: 100796 SHA256: f4236dcb8b9b9bccc426c9418468d65a807745d35fafc6a00756ad3b712d4391 SHA1: d97bb674af69727bd4b2224ee31891c5a3a0c8ee MD5sum: ab3202e274f6ef4891613e5f8d7e1f92 Description: W3C Provenance Data Model (Python 3) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 3. Package: python3-py Source: python-py Version: 1.4.31-2~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Suggests: subversion, python3-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python3-py_1.4.31-2~nd90+1+nd17.04+1_all.deb Size: 82318 SHA256: a043faff067408d4ff63639872b5e9c29a1152a5f2291a94d262edb3bd6c4b28 SHA1: b0baca13ae01dbd87a1c3cff5f4379ef1cc34026 MD5sum: bd5b7ad173cecc8ebc61bebd5d6c0d04 Description: Advanced Python development support library (Python 3) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 3 modules. Package: python3-pydotplus Source: python-pydotplus Version: 2.0.2-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python3-pyparsing (>= 2.0.1), python3:any (>= 3.3.2-2~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python3-pydotplus_2.0.2-2~nd17.04+1_all.deb Size: 20402 SHA256: 3b0f9aa8ae4788e98554c5f0838bcfab3f4e9f3eb7e63cb7f56b6323c8ef0874 SHA1: 74e28f3fd818c076ca7d9f53faed24c3bcd1b940 MD5sum: cffc61ebe073e3170c60971f564f98e1 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~nd90+1+nd17.04+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~nd90+1+nd17.04+1_all.deb Size: 136338 SHA256: 6aabb2c5ea20ca555f65e795e9acaaadee37d81d6965b158a4fcdd6e48b73910 SHA1: b4f877d12645ed66692c973d48b3bb273824c748 MD5sum: 4fc805ddb133fd9cb19af76213161bb9 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 31 Depends: neurodebian-popularity-contest, python3-pytest, python3-tornado, python3:any (>= 3.3.2-2~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python3-pytest-tornado_0.4.4-1~nd90+1+nd17.04+1_all.deb Size: 5766 SHA256: 96d36971ad15466a685da8de929bdfd3d800789a71a695cb92e387c47a94cfb1 SHA1: 6f250b02ef1f35b0339e47a7f0de36a7e2b25882 MD5sum: 7db53a9d231ba4f89466594515c72844 Description: py.test plugin to test Tornado applications (Python 3) pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 3 code. Package: python3-rdflib Source: rdflib Version: 4.2.1-2~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1237 Depends: neurodebian-popularity-contest, python3-isodate, python3-pyparsing, python3:any (>= 3.3.2-2~) Recommends: python3-sparqlwrapper (>= 1.7.6~), python3-html5lib Suggests: python-rdflib-doc Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python3-rdflib_4.2.1-2~nd17.04+1_all.deb Size: 236736 SHA256: 4000f24aeaaf066fc542c2ff2bb5d1e251223dbb0854b8a3c80cdcb295970af7 SHA1: 8697761f6c5748c6953adfb133950707d126efcb MD5sum: ee3a2c4779155edabbe4a844960a988e Description: Python 3 library containing an RDF triple store and RDF parsers/serializers RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains the Python 3 version of RDFLib. Package: python3-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python3-urllib3 (>= 1.12), python3:any (>= 3.3.2-2~), ca-certificates, python3-chardet Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python3-requests_2.8.1-1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 67990 SHA256: 619d767f33ccd2d114a98370cfa56dab16543e11795aafb300a7d0a703106270 SHA1: 76e772d4862a3995a37486ec8712258d9c8970dd MD5sum: 62260fd4aed9df10b69cdfb2e9bcee32 Description: elegant and simple HTTP library for Python3, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package contains the Python 3 version of the library. Package: python3-rpaths Source: python-rpaths Version: 0.13-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-rpaths-doc Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: python Filename: pool/main/p/python-rpaths/python3-rpaths_0.13-1~nd17.04+1_all.deb Size: 12860 SHA256: 6f4d84d8d33a4429f86dbf43f4d1f43749439790f74eccafda896da67da043e8 SHA1: 059d1c2a839dc210341d23d946ecb87d70a29435 MD5sum: 797fdd54a722b1c3f86d16ecc96881d2 Description: cross-platform path manipulation library for Python rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the modules for Python 3. Package: python3-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, python3-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1), python3:any (>= 3.3.2-2~) Suggests: python-setuptools-doc Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python3-setuptools_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 121976 SHA256: f928ca1817822d1ce6990d158e769e37842537df6121f3b69ca4d4b69653c183 SHA1: 33a2bee8b76ce0f19dd7232fd7f216c22f87cbea MD5sum: 56a8a4637f9616dd87d0269591cd42ff Description: Python3 Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: python3-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 47 Depends: neurodebian-popularity-contest Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python3-setuptools-scm_1.8.0-1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 10296 SHA256: 44deeb111c7b0e26e10493991bcc4e1ff82fb802afae376094dd5153f220c94f SHA1: 3a61e6f42d35bfa415d639ace4c6591e6ccbad96 MD5sum: c30f08abba1b133497d9c6c78ababaab Description: blessed package to manage your versions by scm tags for Python 3 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 3. Package: python3-six Source: six Version: 1.10.0-3~bpo8+1~nd17.04+1 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~nd17.04+1_all.deb Size: 11820 SHA256: a93af3c470ba0062bffe88f56ebd53950c6b3a8395cb8b548fa22502b00a46b7 SHA1: f9b1ebe942d293d343e5c94e92e0ddfc708fe901 MD5sum: 1d13c2c8ca9e223704c1de9922009287 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~nd17.04+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~nd17.04+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~nd17.04+1_all.deb Size: 1456414 SHA256: 69f961f58450cb35435c9008b6e26b2109d261f8d67fb204ce193049e4fe927f SHA1: 78ce71951c3f232847f4f3317665f9025f26bd40 MD5sum: 78bd30bdab6e1c04f9135ea9c006c3c9 Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-smmap Source: python-smmap Version: 2.0.1-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-nose Homepage: https://github.com/Byron/smmap Priority: extra Section: python Filename: pool/main/p/python-smmap/python3-smmap_2.0.1-1~nd90+1+nd17.04+1_all.deb Size: 20200 SHA256: 5b58e21b79a76af13c73475f8329096a42d819701772cdc2b74a6e420d03b19a SHA1: 88d5f6611f4416c613e2c8230be2ea4a1d2b962a MD5sum: 9ce4bc0fb0a9b03bc14cc322219b7a64 Description: pure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 3. Package: python3-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 360 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python3:any (>= 3.3.2-2~) Recommends: python3-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python3-sphinx-rtd-theme_0.1.8-1~nd90+1+nd17.04+1_all.deb Size: 117348 SHA256: 2ec3048e0eb286f1f10a330e455963101811108933deae4679e55703cdb2615e SHA1: 794424f1d979d11e17639c73ff7a0527b3b263f9 MD5sum: ce39395e9aa1f54eb341cba33b87a214 Description: sphinx theme from readthedocs.org (Python 3) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 3 version of the package. Package: python3-tqdm Source: tqdm Version: 4.11.2-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 181 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/tqdm/tqdm Priority: optional Section: python Filename: pool/main/t/tqdm/python3-tqdm_4.11.2-1~nd90+1+nd17.04+1_all.deb Size: 50012 SHA256: 48d3012d37ef75e1fde99abdb3200a5315148a648f7b3ca2888925e03c30fb89 SHA1: 6922994bd54a678650142de9428f597a9c35ee49 MD5sum: c7b0ee371fa9a13c3e48630b2cd1a1f5 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+nd17.04+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+nd17.04+1_all.deb Size: 24578 SHA256: e3d6ad2cfa12607ec75301901659a152b2b265442b1fa9511ff786dc48753b83 SHA1: beb3ce25a474b47e3a300e7c6739bc36c5e1be32 MD5sum: 0494081caa839f0107f6da9df2ab6c8a 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+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-six Recommends: ca-certificates Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python3-urllib3_1.12-1~bpo8+1~nd90+1+nd17.04+1_all.deb Size: 65532 SHA256: a72d0e566820bd972074bac3825483d274160c1e4671b648a9783603dcb5fea6 SHA1: 661eb7b9976a326417c89525dc3d8e10f7a7e90a MD5sum: dea1d1f4f474f5b45bcc44282ee6771e Description: HTTP library with thread-safe connection pooling for Python3 urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the Python 3 version of the library. Package: python3-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd90+1+nd17.04+1 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+nd17.04+1_all.deb Size: 43824 SHA256: 44f97356065344e008dbbdaa26a1709aa28f982d6db09c1829d30c7e0f293ff5 SHA1: 4917c27a628542eadf6a95eadcc3315ae23207d7 MD5sum: f6f2d2d35a58d5e1de87fa6d13ec2b92 Description: record and replay HTML interactions (Python3 library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 3. Package: python3-w3lib Source: python-w3lib Version: 1.11.0-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 58 Depends: neurodebian-popularity-contest, python3-six (>= 1.6.1), python3:any (>= 3.3.2-2~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python3-w3lib_1.11.0-1~nd90+1+nd17.04+1_all.deb Size: 14194 SHA256: 15b149125cf3d38d31c679eb4a969bf282e9d260fa7c15cca788e1f903f661b6 SHA1: a04e7d7881ad7bfea469454a175819192331251e MD5sum: 4892a1e2b5761fcad7d963e2bbdbcb87 Description: Collection of web-related functions for Python (Python 3) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 3 version of the package. Package: python3-werkzeug Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1+nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), libjs-jquery Recommends: python3-simplejson | python3, python3-openssl, python3-pyinotify Suggests: ipython3, python3-pkg-resources, python3-lxml, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python3-werkzeug_0.10.4+dfsg1-1~nd90+1+nd17.04+1_all.deb Size: 163834 SHA256: 4f2f9d67b7544bbde797a4344df4623dfb88cc7819c3ff78718e9a6eef5674a8 SHA1: 681f365ec211fd4285007368c96160277ae1c519 MD5sum: cf09a7b26a5c720a7e26da39057c91c4 Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd17.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python3-whoosh_2.7.4+git6-g9134ad92-1~nd17.04+1_all.deb Size: 290782 SHA256: bf67e2aa1f640b96e61b6b676a8e7d503eea8876619eede2ddbf194d2dc8c0e2 SHA1: d5e77d8af65eaf2692db41eb628c4a3631ac55dd MD5sum: 6ad94c2a96c19392926d14f8b70fe3cf 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+nd17.04+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+nd17.04+1_all.deb Size: 9748236 SHA256: 77c7901d0dc606d22394b1c80272d4f4b29a41cabc2481efd44b6c86a19ea635 SHA1: 2faf26e187c954dbc0675fa00f4bb3631872a0b4 MD5sum: 587773e9a644ff7c7adf75a6bb81b110 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+nd17.04+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+nd17.04+1_all.deb Size: 45516542 SHA256: 268eb12bc23278c9d8c3300a7c6f010980120b91860196fef6b491e6f662c643 SHA1: 8ce96ac7608a1334f6aa7231a5d717cbdf2df969 MD5sum: 6cde2538378ac8b92b172139e681c723 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+nd17.04+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+nd17.04+1_all.deb Size: 8934938 SHA256: 6385e870deddfc9fc9197b1efaaf18c189e02c2a7b8ebc87a3b5ceba852adad9 SHA1: 39c660a8c530aaf8ceea00c1d87f3c6c4e6e0969 MD5sum: 89ebe1639ea43782a473d49edee9d187 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+nd17.04+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+nd17.04+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+nd17.04+1_all.deb Size: 32602 SHA256: 0a7af1acca2f91ccfb58f0998a9cb7e77ec2d51115e51091fcab1ee0d2254ba7 SHA1: bebfae9dd9eb95cdd3b9dd0c46697da77a054969 MD5sum: b924c5003c76ea9ca95a1e62fe6d64fe 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: svgtune Version: 0.1.0-1~nd70+1+nd90+1+nd17.04+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+nd17.04+1_all.deb Size: 6592 SHA256: 834e8e168afa02c8aff68a30aba8658086443f6fb3088f85b12284de37f288f7 SHA1: 9ea2edee2694031e38e08f2787ba27a733c3a445 MD5sum: 5f7e07876e9c9d49235fd25e50cc126b 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+nd17.04+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+nd17.04+1_all.deb Size: 11738 SHA256: 5633bef4b98732f6b66dec09c62c008cc9917fc94038413ec2e40146cddf28b3 SHA1: b6b6c53820343a39c65fc38331682919538292e1 MD5sum: 5e495764fbc4c3c358fdd8d4b3ec1c9e 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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