Package: afni-atlases
Source: afni-data
Version: 0.20180120-1.1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
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+nd18.04+1_all.deb
Size: 98214444
SHA256: 0856660b51d43e481685002dd8599f4d1bbae5522cf7a4e81024b7abc201dcc4
SHA1: d93085ad5d93ae6804848ee27214a2bb5966d82e
MD5sum: 1017a599b41327936b4da772fdc25dce
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: asciidoctor-doc
Source: asciidoctor
Version: 1.5.7.1-1~nd~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 3304
Depends: neurodebian-popularity-contest, libjs-jquery
Suggests: asciidoctor
Homepage: http://asciidoctor.org
Priority: optional
Section: doc
Filename: pool/main/a/asciidoctor/asciidoctor-doc_1.5.7.1-1~nd~nd18.04+1_all.deb
Size: 345560
SHA256: 4c4a3b27251a4400bb20229d164a82948e89b368f98081d66b2ea0e63878854f
SHA1: b26f6a5adb171d9a6e18b199900502fc84470416
MD5sum: 2c7a64d03fdcf8039d62345a9c0f5a8f
Description: AsciiDoc to HTML rendering for Ruby (documentation)
 Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and
 strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats.
 .
 This package contains the documentation for asciidoctor.

Package: bats
Version: 1.8.0-3~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 158
Depends: neurodebian-popularity-contest
Recommends: parallel
Homepage: https://github.com/bats-core/bats-core
Priority: optional
Section: devel
Filename: pool/main/b/bats/bats_1.8.0-3~nd18.04+1_all.deb
Size: 47920
SHA256: 25a2bcceb75c1650bb7c47a81fbdf4fa6046c483fc7716e074f896c746210a77
SHA1: 86e9fb7a222e6da732115505a638023f7d0fe489
MD5sum: 9e79130592ea0255423663fe4a0e5526
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: 0.32.6-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 408
Depends: neurodebian-popularity-contest, perl, btrfs-progs
Recommends: openssh-client, mbuffer
Suggests: openssl, python3
Homepage: https://digint.ch/btrbk/
Priority: optional
Section: utils
Filename: pool/main/b/btrbk/btrbk_0.32.6-2~nd18.04+1_all.deb
Size: 120732
SHA256: 3e27346a460708377e9557104c34cbe87b00b7c6bbbfd020a3d13b8b54d80823
SHA1: 9afbced1bc93e8f8a59f9e667849b7aae6a5d9db
MD5sum: 06c88af59bb91e277c52c8b0133f1e4f
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: copyq-doc
Source: copyq
Version: 3.6.1-1~nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1601
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common
Built-Using: sphinx (= 1.6.7-1ubuntu1)
Multi-Arch: foreign
Homepage: https://hluk.github.io/CopyQ/
Priority: optional
Section: doc
Filename: pool/main/c/copyq/copyq-doc_3.6.1-1~nd1~nd18.04+1_all.deb
Size: 897676
SHA256: 32757da046e32b1b57b590c0cbd3ab49b57d1dd138c6a97218b93257176519cc
SHA1: 8a9556d7c7d5cc536bf117cef478603557f509de
MD5sum: e66f573f7ecec602cbe951309c4068e7
Description: Documentation and examples for CopyQ - HTML format
 CopyQ monitors system clipboard and saves its content in customized tabs.
 Saved clipboard can be later copied and pasted directly into any application.
 .
 This contains the documentation in HTML format.

Package: datalad
Version: 0.14.7-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 187
Depends: neurodebian-popularity-contest, python3-datalad (= 0.14.7-1~nd18.04+1), python3-argcomplete, python3:any
Suggests: datalad-container, datalad-crawler, datalad-neuroimaging
Homepage: https://datalad.org
Priority: optional
Section: science
Filename: pool/main/d/datalad/datalad_0.14.7-1~nd18.04+1_all.deb
Size: 147488
SHA256: aa8b1cdf3f6e52d1e0aa886c9bb3a418f207acf1bdb787909f1ab617aab6de58
SHA1: ff873ddb68f040fecfb27156a9af795226021210
MD5sum: f62297773fb609427d89a3d63e2b7c85
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: datalad-container
Version: 1.1.2-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 116
Depends: neurodebian-popularity-contest, datalad (>= 0.13~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3:any (>= 3.3.2-2~)
Recommends: singularity-container
Suggests: docker.io
Homepage: http://datalad-container.rtfd.org
Priority: optional
Section: science
Filename: pool/main/d/datalad-container/datalad-container_1.1.2-1~nd18.04+1_all.deb
Size: 26504
SHA256: f5358963bac5671148733e9455fd27b3afc99125f124b0529a55eecabdcda862
SHA1: 34f2d69f2493cca1b7a549b06ae65d7338775a94
MD5sum: 7c07c66eeb8cf9fe0e4ce04ce99abc67
Description: DataLad extension for working with containerized environments
 This extension enhances DataLad (http://datalad.org) for working with
 computational containers.

Package: debhelper
Version: 12.1.1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1602
Depends: neurodebian-popularity-contest, autotools-dev, dh-autoreconf (>= 17~), dh-strip-nondeterminism (>= 0.028~), dpkg (>= 1.18.0~), dpkg-dev (>= 1.18.2~), dwz, file (>= 3.23), libdpkg-perl (>= 1.17.14), man-db, po-debconf, perl
Suggests: dh-make
Breaks: cmake (<< 3.9~), dh-systemd (<< 1.38), meson (<< 0.40.0~)
Replaces: dh-systemd (<< 1.38)
Provides: debhelper-compat (= 9), debhelper-compat (= 10), debhelper-compat (= 11), debhelper-compat (= 12), dh-sequence-dwz, dh-sequence-installinitramfs, dh-sequence-systemd
Multi-Arch: foreign
Priority: optional
Section: devel
Filename: pool/main/d/debhelper/debhelper_12.1.1~nd18.04+1_all.deb
Size: 1009564
SHA256: 34b326879c038050300d8290ce9308a4bb487032965086c54b8b990a15ee2ccf
SHA1: d98c6833310a53e4d22524b59417f7112b466027
MD5sum: df81feaf2c2a515a13493a7ac29ff924
Description: helper programs for debian/rules
 A collection of programs that can be used in a debian/rules file to
 automate common tasks related to building Debian packages. Programs
 are included to install various files into your package, compress
 files, fix file permissions, integrate your package with the Debian
 menu system, debconf, doc-base, etc. Most Debian packages use debhelper
 as part of their build process.

Package: dh-octave
Version: 0.6.0~bpo9+1+nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 61
Depends: neurodebian-popularity-contest, liboctave-dev (>= 4.2.1-5), debhelper (>= 11), cme, libparse-debcontrol-perl, libmime-tools-perl, dh-octave-autopkgtest, perl
Priority: optional
Section: devel
Filename: pool/main/d/dh-octave/dh-octave_0.6.0~bpo9+1+nd1~nd18.04+1_all.deb
Size: 20048
SHA256: eabfa763f6f4ff1a2a3d0f2f7ae692ec97d8b9e1d5aaa19db52fdc5920d50430
SHA1: 911d062df41aa32686c8c3da2dc6c075fb58b4cd
MD5sum: 1c4d777fc219be1cb0f542d5d8dbd579
Description: Debhelper-based infrastructure for building Octave add-on packages
 Since version 3.0 of Octave (a numerical computation software),
 add-ons can be installed through the pkg.m system.  This package
 provides the infrastructure for packaging such add-ons for Debian,
 based on debhelper.  It replaces the deprecated octave-pkg-dev
 package. This package contains debhelper-like scripts for building,
 checking and cleaning the add-on package as well as for generating
 the substitution variables in debian/control.
 .
 This package is intended to be used by the Debian Octave Group
 and should be of little interest to general users.

Package: dh-octave-autopkgtest
Source: dh-octave
Version: 0.6.0~bpo9+1+nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 23
Depends: neurodebian-popularity-contest, gnuplot-nox, fonts-freefont-otf
Priority: optional
Section: devel
Filename: pool/main/d/dh-octave/dh-octave-autopkgtest_0.6.0~bpo9+1+nd1~nd18.04+1_all.deb
Size: 8504
SHA256: 3ac9f32f9928b941fb71540cdc46ac707104454795149ec583b6fa044abe986e
SHA1: 56de1b9fca49329a400a1169ae2d421d2a15b906
MD5sum: d40f224e24b9ddc68cbf73490e9a3bca
Description: script for the automatic testing of Octave add-on packages
 This package contains the dh_octave_check script that runs the unit tests
 contained in all *.m and *.cc files available in the source tree from
 which it is launched.  It is intended to be used by the support for
 Octave-Forge add-on packages, which is implemented in autodep8.

Package: dh-systemd
Source: debhelper
Version: 12.1.1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 126
Depends: neurodebian-popularity-contest, debhelper (>= 9.20160709)
Multi-Arch: foreign
Priority: optional
Section: oldlibs
Filename: pool/main/d/debhelper/dh-systemd_12.1.1~nd18.04+1_all.deb
Size: 122664
SHA256: d3bd11fe445bc5de4531c5a74c99af9e5893b291801d429edac11ff44a479a5a
SHA1: f503328020aa20024d733c1e3998dae184574486
MD5sum: a8636e6de984eb138561bde6c39bd084
Description: debhelper add-on to handle systemd unit files - transitional package
 This package is for transitional purposes and can be removed safely.

Package: fsl-melview
Source: melview
Version: 1.0.1+git9-ge661e05~dfsg.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 73
Depends: neurodebian-popularity-contest, python-matplotlib, python-nibabel, python-numpy, python-pkg-resources, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pyface, python-traits, python-traitsui, python-enthoughtbase
Suggests: fsl-core
Homepage: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Melview
Priority: optional
Section: science
Filename: pool/main/m/melview/fsl-melview_1.0.1+git9-ge661e05~dfsg.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb
Size: 14132
SHA256: dbb9a44857a6002fede9dfaf3790a25b49cfdc7c5177ab15482e5ec413be678b
SHA1: fe682e7eaf4d362566f51f16269dc82dfd8f57bb
MD5sum: 3d6113be820954219d515010846df847
Description: viewer for the output of FSL's MELODIC
 This viewer can be used to facilitate manual inspection and classification
 of ICA components computed by MELODIC. As such, it is suited to generate
 hand-curated labels for FSL's ICA-based denoising tool FIX.
Python-Version: 2.7

Package: fsleyes
Version: 0.15.2-1~nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 239791
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-indexed-gzip, python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Priority: optional
Section: science
Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd17.10+1+nd18.04+1_all.deb
Size: 26726256
SHA256: e5c11fdb600c2e3350c948c17d4906c30b533e198a0c2f9a973806891cb0acb0
SHA1: dfbe97d8d56f9de39585d952c56e2beb743e579c
MD5sum: aeeaef340b4aa3016b68f120d4b04430
Description: FSL image viewer
 Feature-rich viewer for volumetric (medical) images.

Package: git-all
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 831
Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), git-doc, git-el, git-cvs, git-mediawiki, git-svn, git-email, git-gui, gitk, gitweb
Recommends: git-daemon-run | git-daemon-sysvinit
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: vcs
Filename: pool/main/g/git/git-all_2.24.0-1~nd18.04+1_all.deb
Size: 834248
SHA256: 3ceb787938d4f74e5fe7a470ab7d7b6c89fdfc9ca92d74b3b508f0052602ec0e
SHA1: 9364a52edf6c1a64ed1a4992826449b6ff90b3c3
MD5sum: c25df0535ad667dc4bd7649b5e79c3f3
Description: fast, scalable, distributed revision control system (all subpackages)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 This is a dummy package which brings in all subpackages.

Package: git-annex-remote-rclone
Version: 0.6-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 24
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_0.6-1~nd18.04+1_all.deb
Size: 8184
SHA256: 6159152cd29090d88f838289aa1c04ba5ae0ef39151187cc414ca606fdfe7f25
SHA1: a167956fad75e424cd30891c0671280d63bf2405
MD5sum: b84c6752c8054109a2ec86e2f8960d90
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-cvs
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1212
Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), cvsps, libdbd-sqlite3-perl
Suggests: git-doc, cvs
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: vcs
Filename: pool/main/g/git/git-cvs_2.24.0-1~nd18.04+1_all.deb
Size: 897184
SHA256: df3318bd496b4f17a8a4bf7954a7bd1c5813a8b55ca3a4b0eb4bdf39bbeeed36
SHA1: ae69b0806c9116b91e2f3259c51b44c67db7429d
MD5sum: 3428b23df703f4864828060bb5ed2835
Description: fast, scalable, distributed revision control system (cvs interoperability)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 This package provides the git cvsimport, cvsexportcommit, and cvsserver
 tools, which allow Git to read from and write to CVS repositories and
 offer access over CVS protocol to Git repositories.
 .
 The git cvsimport tool can incrementally import from a repository that
 is being actively developed and only requires remote access over CVS
 protocol. Unfortunately, in many situations the import leads to
 incorrect results. For reliable, one-shot imports, cvs2git from the
 cvs2svn package or parsecvs may be a better fit.

Package: git-daemon-run
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 843
Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), runit, adduser
Conflicts: git-daemon-sysvinit
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: vcs
Filename: pool/main/g/git/git-daemon-run_2.24.0-1~nd18.04+1_all.deb
Size: 835876
SHA256: 8cfb04def641f64ec37a64068a77a45446375d58c2e095067fcfe3a52dfdcb91
SHA1: fbe777e923bf0c7aead51e4fe1a98fcc1fd64e28
MD5sum: 2d1b53c120579bc17373b4157ebc3b24
Description: fast, scalable, distributed revision control system (git-daemon service)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 git-daemon, as provided by the git package, is a simple server for git
 repositories, ideally suited for read-only updates, i.e. pulling from git
 repositories through the network.  This package provides a runit service
 for running git-daemon permanently.  This configuration is simpler and
 more reliable than git-daemon-sysvinit, at a cost of being less
 familiar for administrators accustomed to sysvinit.

Package: git-daemon-sysvinit
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 846
Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), adduser, lsb-base (>= 3.0-6)
Conflicts: git-daemon-run
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: vcs
Filename: pool/main/g/git/git-daemon-sysvinit_2.24.0-1~nd18.04+1_all.deb
Size: 837016
SHA256: 4665cc78d94ec859185deea52cab3b432000a5fde42f23c318068745a573718f
SHA1: a4a128c53366d9ccc5d8e6abb2fc5bb94585d262
MD5sum: 296d1c86d7f2f041db4997a5a54f8ea3
Description: fast, scalable, distributed revision control system (git-daemon service)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 git-daemon, as provided by the git package, is a simple server for git
 repositories, ideally suited for read-only updates, i.e. pulling from git
 repositories through the network.  This package provides a sysvinit service
 for running git-daemon permanently.  Unlike git-daemon-run, this
 package provides the usual sysvinit service management commands
 ("service git-daemon start/stop") for git-daemon.

Package: git-doc
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 11642
Depends: neurodebian-popularity-contest
Suggests: git, git-cvs, git-svn, git-email, gitk, gitweb
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: doc
Filename: pool/main/g/git/git-doc_2.24.0-1~nd18.04+1_all.deb
Size: 1837036
SHA256: 5109b012e34d0d830097cdb5c89a5138e78a103b8c01e8710f14371af950a0d3
SHA1: 5836a5eaeee7422968c35e60ffffdab7b0a38534
MD5sum: aed397be21e9c57cf58b1794b8233439
Description: fast, scalable, distributed revision control system (documentation)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 This package provides the documentation.

Package: git-el
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 854
Depends: neurodebian-popularity-contest, git (>= 1:1.7.4.1-2~), emacs | emacsen
Recommends: elpa-magit
Breaks: git (<< 1:1.7.4.1-2~)
Replaces: git (<< 1:1.7.4.1-2~)
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: vcs
Filename: pool/main/g/git/git-el_2.24.0-1~nd18.04+1_all.deb
Size: 836636
SHA256: 67500af6ccc025a2a7e742d1e409d9bb3ade19f3f7fdd693a4ff2ab7710f39d4
SHA1: 04b4dcb395c21fec130d7cad4df60e9e6b332b62
MD5sum: 8346f56d59bd740528800a3adad1875d
Description: fast, scalable, distributed revision control system (emacs support)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 This transitional package provides two modules that previously could be
 used for integration with Emacs: git.el and git-blame.el. Now the
 modules print an error message with instructions that users can use to
 migrate to Emacs's VC-mode backend for Git or Magit.

Package: git-email
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 900
Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.)
Recommends: libemail-valid-perl, libmailtools-perl, perl (>> 5.21.5) | libnet-smtp-ssl-perl, libauthen-sasl-perl, libio-socket-ssl-perl (>= 1.951)
Suggests: git-doc
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: vcs
Filename: pool/main/g/git/git-email_2.24.0-1~nd18.04+1_all.deb
Size: 859536
SHA256: 84b6082df63731fa070f0fe312eeb92a23d0f5f6a379580c11006c8d42655f78
SHA1: e8f9f483fc54971ca2bfdeac98ad3ffa3bf33f6a
MD5sum: 2b1f4052c48806c9452ed4d92c3eb185
Description: fast, scalable, distributed revision control system (email add-on)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 This package provides the git-send-email program for sending series of
 patch emails.

Package: git-gui
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 2313
Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), tk
Recommends: gitk
Suggests: git-doc, aspell, meld
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: vcs
Filename: pool/main/g/git/git-gui_2.24.0-1~nd18.04+1_all.deb
Size: 1044540
SHA256: d0c50c417f3e79e5cb357945566c87a11069a65820e3aeaaf15ac26088765dfc
SHA1: 73cc6720176e695caab07629cdf12ea3f7cc3a8c
MD5sum: 55f7686eb0689ac158e9e588d2798938
Description: fast, scalable, distributed revision control system (GUI)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 This package provides the git graphical user interface.
 .
 If aspell is installed, it can check the spelling of commit messages
 as the user types.
 .
 If meld is installed, it can be used for displaying diffs and for
 interactive merge conflict resolution.

Package: git-man
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1748
Depends: neurodebian-popularity-contest
Breaks: git (<< 1:1.7.4~rc1)
Replaces: git (<< 1:1.7.4~rc1), git-core (<< 1:1.7.0.4-1.)
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: doc
Filename: pool/main/g/git/git-man_2.24.0-1~nd18.04+1_all.deb
Size: 1695028
SHA256: 403cbf8c78b4cdd8129acf55fbf31408dcdc6b611abc7f75753be65aa2c5ed39
SHA1: 59c33a93fd6ed2b72d329958141770732abdf688
MD5sum: 6fdd92c87b7fba290784b53e0aee22d6
Description: fast, scalable, distributed revision control system (manual pages)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 This package provides reference documentation for use by the 'man'
 utility and the 'git help' command.

Package: git-mediawiki
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 890
Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), libmediawiki-api-perl (>= 0.39), liblwp-protocol-https-perl, libdatetime-format-iso8601-perl
Suggests: mediawiki
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: vcs
Filename: pool/main/g/git/git-mediawiki_2.24.0-1~nd18.04+1_all.deb
Size: 850228
SHA256: 9d8c06f325043643cb6c3a83d9c815fa62209df31325eab06411848682f0e41d
SHA1: 8d182122463b97c281075192bb94ba7a298ae93e
MD5sum: 0c0892c0d092c02054c6491d5fa1ecb0
Description: fast, scalable, distributed revision control system (MediaWiki remote helper)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 This package provides the mediawiki remote helper, which allows Git to
 read from and write to a wiki such as Wikipedia as though it were a
 remote Git repository, and a 'git mw' command that can show a preview
 of how wiki markup will be rendered before pushing.

Package: git-svn
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1077
Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), libsvn-perl, libyaml-perl, libterm-readkey-perl
Suggests: git-doc, subversion
Breaks: git (<< 1:1.8.3~rc1-1.)
Replaces: git (<< 1:1.8.3~rc1-1.)
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: vcs
Filename: pool/main/g/git/git-svn_2.24.0-1~nd18.04+1_all.deb
Size: 909412
SHA256: cb611c2e42461b76847343a52a34c87187d44902abf946f02afb701ef705e0dc
SHA1: f7b000d8fbee5043ba32d344a7e11e8382769dea
MD5sum: 002246dd62890a503bea8af1c62b8234
Description: fast, scalable, distributed revision control system (svn interoperability)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 This package provides tools for interoperating with Subversion repositories,
 and importing SVN development history.

Package: gitk
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1612
Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), tk
Suggests: git-doc
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: vcs
Filename: pool/main/g/git/gitk_2.24.0-1~nd18.04+1_all.deb
Size: 969432
SHA256: 26ce033b0c596a8bd4fe67d97b482d3597f8230af47cb220bac9457d7b211942
SHA1: 5edad4b7a9b38b1d2296e3327e329e714398737a
MD5sum: 0f8eee550ed4bb2165f27f45fa0b984d
Description: fast, scalable, distributed revision control system (revision tree visualizer)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 This package provides the gitk program, a tcl/tk revision tree visualizer.

Package: gitweb
Source: git
Version: 1:2.24.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 853
Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), perl, libcgi-pm-perl
Recommends: apache2 (>= 2.4.6-4~) | lynx | httpd, libhttp-date-perl | libtime-parsedate-perl
Suggests: httpd-cgi | libcgi-fast-perl, git-doc
Breaks: apache2.2-common (<< 2.3~)
Multi-Arch: foreign
Homepage: https://git-scm.com/
Priority: optional
Section: vcs
Filename: pool/main/g/git/gitweb_2.24.0-1~nd18.04+1_all.deb
Size: 838524
SHA256: 4056b15dc379689db283304ad25268b29c982d6074c43fabde025cf3e4639a45
SHA1: 764e5651f75ccc2f3b74b43130419af1dc71a178
MD5sum: 3df98aeb643194b42b6502921d3f054e
Description: fast, scalable, distributed revision control system (web interface)
 Git is popular version control system designed to handle very large
 projects with speed and efficiency; it is used for many high profile
 open source projects, most notably the Linux kernel.
 .
 Git falls in the category of distributed source code management tools.
 Every Git working directory is a full-fledged repository with full
 revision tracking capabilities, not dependent on network access or a
 central server.
 .
 This package configures a web interface for browsing git repositories.
 .
 If apache2 is installed, the web interface is automatically made
 available at http://localhost/gitweb.  Other servers that support CGI
 or mod_perl are supported through manual configuration.
 .
 If libcgi-fast-perl is installed, gitweb can also be run over FastCGI
 (and served by nginx, for example).

Package: golang-github-ncw-rclone-dev
Source: rclone
Version: 1.41-1~ndall0
Architecture: all
Maintainer: Debian Go Packaging Team <pkg-go-maintainers@lists.alioth.debian.org>
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: 0.6.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 937
Depends: neurodebian-popularity-contest, dcm2niix, python, python-dcmstack, python-dicom, python-filelock, python-nibabel, python-pathlib, python-numpy, python-nipype
Recommends: python-pytest, python-datalad
Homepage: https://github.com/nipy/heudiconv
Priority: optional
Section: science
Filename: pool/main/h/heudiconv/heudiconv_0.6.0-1~nd18.04+1_all.deb
Size: 253696
SHA256: 05aacdec1cc6e716745ab9ca4e235b619933db45df3984cbeb710af7736ad8ef
SHA1: 5a8f6847c41fd3e76fcc5030385a6d5198be2787
MD5sum: 84040ac193184e3370a7c6ca745cef32
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: isympy-common
Source: sympy
Version: 1.3-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 211
Depends: neurodebian-popularity-contest, python:any | python:any
Recommends: isympy | isympy3
Conflicts: isympy (<< 1.0-2)
Breaks: python-sympy (<< 0.7.5-4)
Homepage: http://sympy.org/
Priority: optional
Section: python
Filename: pool/main/s/sympy/isympy-common_1.3-1~nd18.04+1_all.deb
Size: 186592
SHA256: 719a7be51dd8e09fa1d6d8379c4ff2c21a108a8791b6cac65700deffd6a96305
SHA1: 1a8166281cd3b191d504cfa2bd85d602d9ec367f
MD5sum: c9508f8e42e0f783349cc72ff881fa74
Description: Python shell for SymPy
 SymPy is a Python library for symbolic mathematics (manipulation). It aims to
 become a full-featured computer algebra system (CAS) while keeping the code as
 simple as possible in order to be comprehensible and easily extensible. SymPy
 is written entirely in Python and does not require any external libraries,
 except optionally for plotting support.
 .
 This support package contains the common isympy python script,
 a wrapper for SymPy which can be invoked with either python2 or python3.
 .
 Install the isympy or isympy3 package to ensure all required dependencies
 are loaded.

Package: isympy3
Source: sympy
Version: 1.3-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 20
Depends: neurodebian-popularity-contest, isympy-common, python3-sympy
Enhances: ipython3
Provides: isympy
Homepage: http://sympy.org/
Priority: optional
Section: python
Filename: pool/main/s/sympy/isympy3_1.3-1~nd18.04+1_all.deb
Size: 8360
SHA256: 337898618c71b253c7b95823f24cef38cd52fe8fd548338feb3d3df1f4e89e52
SHA1: eefa40a08b3395b8024c166d0212a77aaf81fd05
MD5sum: 8051e8a830b3444169117dca592d09be
Description: Python3 shell for SymPy
 SymPy is a Python library for symbolic mathematics (manipulation). It aims to
 become a full-featured computer algebra system (CAS) while keeping the code as
 simple as possible in order to be comprehensible and easily extensible. SymPy
 is written entirely in Python and does not require any external libraries,
 except optionally for plotting support.
 .
 This package contains a Python3 shell (IPython shell if you have the
 ipython3 package installed) wrapper for SymPy.

Package: libfreenect-doc
Source: libfreenect
Version: 1:0.5.3-3~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 869
Depends: neurodebian-popularity-contest
Multi-Arch: foreign
Homepage: http://openkinect.org/
Priority: extra
Section: doc
Filename: pool/main/libf/libfreenect/libfreenect-doc_0.5.3-3~nd18.04+1_all.deb
Size: 142296
SHA256: 57ea1e3f313b4ced16cf0f51fea000426539f42d1777b61718a2e44849a7a8e5
SHA1: d0e461b50fd2d2c0ae376caf0090694806fd0732
MD5sum: 813fe7eb8dcd3f4363404abca79a7807
Description: library for accessing Kinect device -- documentation
 libfreenect is a cross-platform library that provides the necessary interfaces
 to activate, initialize, and communicate data with the Kinect hardware.
 Currently, the library supports access to RGB and depth video streams, motors,
 accelerometer and LED and provide binding in different languages (C++,
 Python...)
 .
 This library is the low level component of the OpenKinect project which is an
 open community of people interested in making use of the Xbox Kinect hardware
 with PCs and other devices.
 .
 This package contains the documentation of the API of libfreenect.

Package: libglm-dev
Source: glm
Version: 0.9.9.6-1+nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 2159
Depends: neurodebian-popularity-contest
Multi-Arch: foreign
Homepage: https://glm.g-truc.net/
Priority: optional
Section: libdevel
Filename: pool/main/g/glm/libglm-dev_0.9.9.6-1+nd1~nd18.04+1_all.deb
Size: 175948
SHA256: 6197be3c08bf39d36b863bc817b8021dd6505896d6b6324f1bed80a13fc9eadd
SHA1: 3246c0f92155326bf241685d00b5ea1e43ae3f8d
MD5sum: bd2d0c53931294cfeaa6a9256a6608ef
Description: C++ library for OpenGL GLSL type-based mathematics
 OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics
 software based on the OpenGL Shading Language (GLSL) specification.
 .
 GLM provides classes and functions designed and implemented with the same
 naming conventions and functionalities as GLSL, so that when a programmer
 knows GLSL, he knows GLM as well, which makes it really easy to use.
 .
 This project isn't limited to GLSL features. An extension system, based on the
 GLSL extension conventions, provides extended capabilities: matrix
 transformations, quaternions, half-based types, random numbers, et cetera.
 .
 This library works perfectly together with OpenGL but it also ensures
 interoperability with other third party libraries and SDKs. It is a good
 candidate for software rendering (such as raytracing, rasterisation), image
 processing, physic simulations and any context that requires a simple and
 convenient mathematics library.

Package: libglm-doc
Source: glm
Version: 0.9.9.6-1+nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 12702
Depends: neurodebian-popularity-contest
Recommends: libjs-jquery
Multi-Arch: foreign
Homepage: https://glm.g-truc.net/
Priority: optional
Section: doc
Filename: pool/main/g/glm/libglm-doc_0.9.9.6-1+nd1~nd18.04+1_all.deb
Size: 499168
SHA256: 29b6095c4f1c5be057699ef888a01ce60c35c4e072b07ac33d111a95b3376606
SHA1: cc6e0bc87ab085a21f097e1f80776ca13a3df438
MD5sum: 25160b2fc1a6fc0697ef312ed4085f35
Description: documentation for the OpenGL Mathematics (GLM) library
 OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics
 software based on the OpenGL Shading Language (GLSL) specification.
 .
 This package contains the OpenGL Mathematics manual in HTML and PDF formats.

Package: mridefacer
Version: 0.2-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 647
Depends: neurodebian-popularity-contest, num-utils, fsl-5.0-core | fsl-core
Homepage: https://github.com/hanke/mridefacer
Priority: optional
Section: science
Filename: pool/main/m/mridefacer/mridefacer_0.2-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb
Size: 637452
SHA256: ab5a15de7c3ef796d813c5a2e14ae14dd36f338884bca80570f1ff4d6b5c3c8e
SHA1: 760e57847e5005fd0a11a1a8d18ce42db9e541c9
MD5sum: f361b00ca73a41c0e14b72d59069bc29
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: mrtrix-doc
Source: mrtrix
Version: 0.2.13-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 3402
Depends: neurodebian-popularity-contest
Homepage: http://www.brain.org.au/software/mrtrix
Priority: extra
Section: doc
Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.13-1~nd18.04+1_all.deb
Size: 3180296
SHA256: b2b6e876e67bca20fb3d740d11841133b4a69ca24b821e73c40f81ea49043e50
SHA1: 6ebe3e5bbf8744e68868dc1dc23730d5fe6b1c47
MD5sum: ad4964b7183f6cf4d846400340a15319
Description: documentation for mrtrix
 Set of tools to perform diffusion-weighted MRI white matter tractography of the
 brain in the presence of crossing fibres, using Constrained Spherical
 Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance
 images in DICOM, ANALYZE, or uncompressed NIfTI format are supported.
 .
 This package provides the documentation in HTML format.

Package: mrtrix3-doc
Source: mrtrix3
Version: 3.0.3-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 87
Depends: neurodebian-popularity-contest
Conflicts: mrtrix-doc
Homepage: https://www.mrtrix.org
Priority: optional
Section: doc
Filename: pool/main/m/mrtrix3/mrtrix3-doc_3.0.3-1~nd18.04+1_all.deb
Size: 48728
SHA256: 3efd9383740b309f03f0a88e7ce689149565f661df56fa6438cda4247c718b68
SHA1: 5c8dbabab4c01300978b4bccf207f8eddcb32e9a
MD5sum: 1e8cdbd3154e360863414f244f912d87
Description: documentation for mrtrix3
 Set of tools to perform diffusion-weighted MRI white matter tractography of the
 brain in the presence of crossing fibres, using Constrained Spherical
 Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance
 images in DICOM, ANALYZE, or uncompressed NIfTI format are supported.
 .
 This package provides the documentation in HTML format.

Package: neurodebian
Version: 0.42.2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 100
Depends: python3, 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_0.42.2~nd18.04+1_all.deb
Size: 37236
SHA256: 3e4d08b8c14e96d257b7569c65c53d4d768519da3819b14fbc03bbabf8c039c5
SHA1: 4b9644db7758a9baeaae6abe9975863ea9230c4a
MD5sum: 699bb81c8acfa096477cd9bb0be6343f
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: 0.42.2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 26
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_0.42.2~nd18.04+1_all.deb
Size: 12828
SHA256: c780d217a29ea9893a13df79e8d77e4ace496c291a2e4252baf007f75aac17a2
SHA1: a08e523bfe152d23e8278469b3ac59369a018798
MD5sum: cfd6ed63632a991fd4fe9a8e747997d1
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: 0.42.2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 200
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_0.42.2~nd18.04+1_all.deb
Size: 123184
SHA256: da2e3e249d355d47410397df84296dc522e478f973e860b0b589a946d26acb3c
SHA1: 6d1958408a98a27879c4d0c4be66bbb35478561a
MD5sum: 22f9e6728dfa3f245d08caf3ddd2489a
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: 0.42.2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 115
Depends: devscripts, neurodebian-archive-keyring
Recommends: ubuntu-keyring, python3, zerofree, moreutils, time, debian-archive-keyring, apt-utils, cowbuilder, neurodebian-freeze
Suggests: virtualbox-ose, virtualbox-ose-fuse, singularity-container
Homepage: http://neuro.debian.net
Priority: optional
Section: science
Filename: pool/main/n/neurodebian/neurodebian-dev_0.42.2~nd18.04+1_all.deb
Size: 36632
SHA256: aa868fdca7d02a6339725867602b4587fc8f07ddc0af4c38af70394961eb6b7f
SHA1: 7c17a21d84cf9e9910cf7acee78e78b1d8dd3671
MD5sum: 592507e5ac2e8ad30b4f75b72236ee77
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-freeze
Source: neurodebian
Version: 0.42.2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 41
Homepage: http://neuro.debian.net
Priority: optional
Section: science
Filename: pool/main/n/neurodebian/neurodebian-freeze_0.42.2~nd18.04+1_all.deb
Size: 17408
SHA256: 920db256bc3faa2e9483c848c96b0b9c78ce319e9757fa6ba4742cfd762b7d91
SHA1: 265b7e3badf7018c2b8eaede34b9232e2f4a97de
MD5sum: d9d740042b5d39d8a61b9d4b42570b25
Description: nd_freeze tool to freeze APT sources to use snapshots
 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 minimalistic package provides nd_freeze script to be used in
 rich or minimalistic environments (such as Docker or Singularity
 recipes) to freeze their APT sources.  Intended to assist making such
 images reproducible.

Package: neurodebian-popularity-contest
Source: neurodebian
Version: 0.42.2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 30
Depends: popularity-contest
Homepage: http://neuro.debian.net
Priority: optional
Section: science
Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.42.2~nd18.04+1_all.deb
Size: 15008
SHA256: 2e187cf787c117753168ff4e26e3f1f5ab008e7946436ddb652cead6d05d9896
SHA1: c751bb81ee6f6ec1e4c4e94298bc276466b77c6e
MD5sum: 017e455cd8a160deff81e4471d00658c
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: 1.3.5+ds-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 23509
Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python3-jinja2, python3-appdirs | base-files (<< 7.2), python3-glob2 | base-files (<< 9.10), python3-dev, base-files (>= 11) | python-jinja2, base-files (>= 11) | python-yaml, base-files (>= 11) | base-files (<< 9.10) | python-glob2, zlib1g-dev, libzstd-dev | base-files (<= 9), ccache, patchelf, python3:any (>= 3.3.2-2~), python:any (<< 2.8), python:any (>= 2.7.5-5~)
Recommends: python3-lxml, python3-tqdm, strace, libfuse2, gdb | lldb
Homepage: https://nuitka.net
Priority: optional
Section: python
Filename: pool/main/n/nuitka/nuitka_1.3.5+ds-1~nd18.04+1_all.deb
Size: 2187024
SHA256: 805f56c39cf761cb8b18cdc1e783fe623989d34e4c14774af1216991ee9d2841
SHA1: 5be30384059e30068518e8e5610652deadb95f75
MD5sum: 5482de2b61d4b28b81bdeb7e4c1a2126
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: 112~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 538
Depends: neurodebian-popularity-contest, python3-pip, gettext, jq, po-debconf
Recommends: autopkgtest, madison-lite, pristine-tar
Multi-Arch: foreign
Priority: optional
Section: devel
Filename: pool/main/o/openstack-pkg-tools/openstack-pkg-tools_112~nd18.04+1_all.deb
Size: 100592
SHA256: baaa3cbf691fc726b120395b20d9b14423d577fd9957f28c65b7b6a0d83a3a3d
SHA1: 36ae66be1488b75752a8c3d3961d8381e112e513
MD5sum: cc3147dcc4584403c25f31c76dc92152
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 and
    systemd.
  * 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: patool
Version: 1.12-3+nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 412
Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), python:any (<< 2.8), python:any (>= 2.7.5-5~)
Recommends: file
Suggests: arj, bzip2 | lbzip2 | pbzip2, cabextract | lcab, ncompress, cpio | bsdcpio, lzop, p7zip-full, rar | unrar | zip | unzip, rpm2cpio, binutils, lha, unace | unace-nonfree | nomarch, unalz, lrzip (>= 0.551), tar (>= 1.26) | bsdtar, xdms, orange, lzip | plzip | clzip | pdlzip, sharutils, flac, archmage, genisoimage, python-argcomplete
Homepage: http://wummel.github.io/patool/
Priority: optional
Section: utils
Filename: pool/main/p/patool/patool_1.12-3+nd1~nd18.04+1_all.deb
Size: 37380
SHA256: cc05f4a0f45196a8cf73a3a2513d0c911d6a9021507f4243b998f8994e50bd2a
SHA1: dd80f06ba3c5bc30bdff8834499830b99365be62
MD5sum: fdb26ed711739a63fa8fe8a8710386d3
Description: command line archive file manager
 Various archive formats can be created, extracted, tested, listed,
 compared, searched and repacked by patool. The archive format is
 determined with file and as a fallback by the archive file extension.
 .
 patool supports 7z (.7z), ACE (.ace), ADF (.adf), ALZIP (.alz), AR (.a),
 ARC (.arc), ARJ (.arj), BZIP2 (.bz2), CAB (.cab), compress (.Z), CPIO (.cpio),
 DEB (.deb), DMS (.dms), FLAC (.flac), GZIP (.gz), ISO (.iso), LZH (.lha, .lzh),
 LZIP (.lz), LZMA (.lzma), LZOP (.lzo), RAR (.rar), RPM (.rpm), RZIP (.rz),
 SHAR (.shar), SHN (.shn), TAR (.tar), XZ (.xz), ZIP (.zip, .jar) and
 ZOO (.zoo) formats.
 .
 It relies on helper applications to handle those archive formats
 (for example bzip2 for BZIP2 archives).
 .
 The archive formats TAR, ZIP, BZIP2 and GZIP
 are supported natively and do not require helper applications to be
 installed.

Package: psychtoolbox-3-common
Source: psychtoolbox-3
Version: 3.0.17.6.dfsg1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 657424
Depends: neurodebian-popularity-contest
Recommends: alsa-utils, gamemode
Suggests: gnuplot
Homepage: http://psychtoolbox.org
Priority: optional
Section: science
Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.17.6.dfsg1-1~nd18.04+1_all.deb
Size: 32582224
SHA256: 72eb1e3194eeb701f5ea8f65e74919b3e4cc586b77339a1ee426f00af599a4ac
SHA1: 80fff145b1b25f270555b45342575ae6f617bb01
MD5sum: 9e420ef7246ff014b0ea58124dfe81cc
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: 3.44.1-1~bpo9+1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 610
Depends: neurodebian-popularity-contest, pypy-enum34, pypy, pypy-attr, pypy-coverage
Suggests: python-hypothesis-doc
Homepage: https://github.com/DRMacIver/hypothesis
Priority: optional
Section: python
Filename: pool/main/p/python-hypothesis/pypy-hypothesis_3.44.1-1~bpo9+1~nd18.04+1_all.deb
Size: 120416
SHA256: 810b290223de0eb95f53aba1db7185b86f6db000dd201a5b67d5be30661c0c87
SHA1: 4a1d1f818b2be3d94ca58ebcef5cea1b2abe26a9
MD5sum: 3e73481f8a1476bc73106a27e65c0f63
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: python-babel
Version: 2.6.0+dfsg.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 421
Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd18.04+1), python-pkg-resources, python-tz, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Homepage: http://babel.pocoo.org/
Priority: optional
Section: python
Filename: pool/main/p/python-babel/python-babel_2.6.0+dfsg.1-1~nd18.04+1_all.deb
Size: 97532
SHA256: 9d1d1a5d769638ed60dca461c94fead8b2d1acf911e8076aa00f3420a2d169ee
SHA1: 090e8cae109b2a58c8f016a3553429f07912b526
MD5sum: 8a05e2dd79821c04e5e9eb3d6f73823c
Description: tools for internationalizing Python applications - Python 2.x
 Babel is composed of two major parts. First tools to build and work with
 gettext message catalogs. Second a Python interface to the CLDR (Common
 Locale Data Repository), providing access to various locale display
 names, localized number and date formatting, etc.
 .
 This package provides the Python 2.x module.

Package: python-babel-doc
Source: python-babel
Version: 2.6.0+dfsg.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 924
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0)
Homepage: http://babel.pocoo.org/
Priority: optional
Section: doc
Filename: pool/main/p/python-babel/python-babel-doc_2.6.0+dfsg.1-1~nd18.04+1_all.deb
Size: 185728
SHA256: 4a459cc7e71f0bd54351f79a5e8ab64aacf016caedd79cd3bb8f1e8b7d1c94f6
SHA1: a7e9f00afd5bc202eb304a7232bc7c6fd6eeb14d
MD5sum: af2a632831e5cd8b6794bdbefec035ab
Description: tools for internationalizing Python applications - documentation
 Babel is composed of two major parts. First tools to build and work with
 gettext message catalogs. Second a Python interface to the CLDR (Common
 Locale Data Repository), providing access to various locale display
 names, localized number and date formatting, etc.
 .
 This package contains the Babel documentation.

Package: python-babel-localedata
Source: python-babel
Version: 2.6.0+dfsg.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 20965
Depends: neurodebian-popularity-contest
Homepage: http://babel.pocoo.org/
Priority: optional
Section: python
Filename: pool/main/p/python-babel/python-babel-localedata_2.6.0+dfsg.1-1~nd18.04+1_all.deb
Size: 4080804
SHA256: 8870248a29e118eced263e7d75e63fdf9bf87bb4586b6f37858df75678b4e249
SHA1: 7a7e5ab4c1ff49a1ac03fe8445a74f5c67150f7c
MD5sum: de874654a8d336a890c8f864cb14a526
Description: tools for internationalizing Python applications - locale data files
 Babel is composed of two major parts. First tools to build and work with
 gettext message catalogs. Second a Python interface to the CLDR (Common
 Locale Data Repository), providing access to various locale display
 names, localized number and date formatting, etc.
 .
 This package contains the locale data files used by both python-babel and
 python3-babel.

Package: python-boto
Version: 2.44.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 5140
Depends: neurodebian-popularity-contest, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six
Provides: python2.7-boto
Homepage: https://github.com/boto/boto
Priority: optional
Section: python
Filename: pool/main/p/python-boto/python-boto_2.44.0-1~nd18.04+1_all.deb
Size: 739632
SHA256: 272bc22c063cc377b62b625271ec01c3a22a2d7030aa72be97b671c712c9620b
SHA1: ae16c73682753c33148f744572fedf76f37fb8a1
MD5sum: 6259cefd0a2d8211dbfb5ec62ced59bd
Description: Python interface to Amazon's Web Services - Python 2.x
 Boto is a Python interface to the infrastructure services available from
 Amazon.
 .
 Boto supports the following services:
  * Elastic Compute Cloud (EC2)
  * Elastic MapReduce
  * CloudFront
  * DynamoDB
  * SimpleDB
  * Relational Database Service (RDS)
  * Identity and Access Management (IAM)
  * Simple Queue Service (SQS)
  * CloudWatch
  * Route53
  * Elastic Load Balancing (ELB)
  * Flexible Payment Service (FPS)
  * Simple Storage Service (S3)
  * Glacier
  * Elastic Block Store (EBS)
  * and many more...
 .
 This package provides the Python 2.x module.

Package: python-bz2file
Version: 0.98-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 35
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Provides: python2.7-bz2file
Homepage: https://github.com/nvawda/bz2file
Priority: optional
Section: python
Filename: pool/main/p/python-bz2file/python-bz2file_0.98-1~nd18.04+1_all.deb
Size: 7920
SHA256: 8e05001a4c74dbb7b571230f657bf635b3ee63cdb99ba33a64600200bd7d4f4e
SHA1: 2abb16321b37adfd36fb1c476543a26ef0aadc56
MD5sum: 1a1f71c61c7db903d9ba852fa6f3adc6
Description: Python library for reading and writing bzip2-compressed files
 Bz2file is a Python library for reading and writing bzip2-compressed files.
 .
 It contains a drop-in replacement for the file interface in the standard
 library's bz2 module, including features from the latest development version
 of CPython that are not available in older releases.
 .
 Bz2file for Python2.

Package: python-dask-doc
Source: dask
Version: 0.17.5-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 6964
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common, libjs-mathjax, libjs-bootstrap
Built-Using: sphinx (= 1.6.7-1ubuntu1)
Homepage: https://github.com/dask/dask
Priority: optional
Section: doc
Filename: pool/main/d/dask/python-dask-doc_0.17.5-2~nd18.04+1_all.deb
Size: 1768204
SHA256: e9532fdaf3677c39999cdc52e20cd5162442ecd8fa0ee5a00659a9abba997b14
SHA1: 1bcb678ef8953ce16ba0e2092a54aac913031d7f
MD5sum: 7cc7adcc20210f486d54de0529e66e54
Description: Minimal task scheduling abstraction documentation
 Dask is a flexible parallel computing library for analytics,
 containing two components.
 .
 1. Dynamic task scheduling optimized for computation. This is similar
 to Airflow, Luigi, Celery, or Make, but optimized for interactive
 computational workloads.
 2. "Big Data" collections like parallel arrays, dataframes, and lists
 that extend common interfaces like NumPy, Pandas, or Python iterators
 to larger-than-memory or distributed environments. These parallel
 collections run on top of the dynamic task schedulers.
 .
 This contains the documentation

Package: python-dcmstack
Source: dcmstack
Version: 0.7-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 500
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: science
Filename: pool/main/d/dcmstack/python-dcmstack_0.7-1~nd18.04+1_all.deb
Size: 76032
SHA256: 76bd0483822282450e4bd05149b482eec0ec879ac67c7b7e32e25d286fee6e8f
SHA1: b1321189a9ffae61015e706e35d6bf08c271acf5
MD5sum: 489f81c48497d714dc618152f9b3efcb
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: 1.2.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 13
Depends: neurodebian-popularity-contest, python-pydicom
Homepage: https://pydicom.github.io
Priority: optional
Section: oldlibs
Filename: pool/main/p/pydicom/python-dicom_1.2.1-1~nd18.04+1_all.deb
Size: 4904
SHA256: 4b2d3fca8623d2bd20dc4d5035c27b483a0958cef6c569f43233c76b4d430f63
SHA1: c7887a909c187af788f8bed2424243ed7186eada
MD5sum: 105a20129bb4526db82a347f73a324fe
Description: transitional package for python-pydicom
 This is a transitional package. It can safely be removed.

Package: python-dipy
Source: dipy
Version: 0.14.0-1~nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 8631
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 (>= 0.14.0-1~nd17.10+1+nd18.04+1)
Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel (>= 2.1.0)
Suggests: ipython
Provides: python2.7-dipy
Homepage: http://dipy.org
Priority: extra
Section: python
Filename: pool/main/d/dipy/python-dipy_0.14.0-1~nd17.10+1+nd18.04+1_all.deb
Size: 3047844
SHA256: cd1f3c6f9c9b00d9d94af6b03f2852e625f4b8d532f386c336543ee708bf3f68
SHA1: 2138cdeb7977c44d51898122fc3d77fdea96fece
MD5sum: 647d06f0f4453feaac6b40a1fc9b74af
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: 0.14.0-1~nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 16545
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_0.14.0-1~nd17.10+1+nd18.04+1_all.deb
Size: 12639612
SHA256: 0e598975843e08be440aa6953968e8215f93af0981b4875b444f886b8b9d5b1f
SHA1: 8f130334485208428cb21c21036806274dd1d440
MD5sum: 7f8814cbb2032c5d97749fb0493a2776
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-duecredit
Source: duecredit
Version: 0.7.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 246
Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Homepage: https://github.com/duecredit/duecredit
Priority: optional
Section: python
Filename: pool/main/d/duecredit/python-duecredit_0.7.0-1~nd18.04+1_all.deb
Size: 53340
SHA256: dd74e7dc3783e4bca76abb759d938ca0ad5fa8f65dd99619c1e9497b20c1a420
SHA1: 561889fae7f4608dbb56fb407b0798a697a229f7
MD5sum: 4a30d49780d2cdad0c0f8b32c85afe92
Description: Publications (and donations) tracer - Python 2.X
 duecredit is being conceived to address the problem of inadequate
 citation of scientific software and methods, and limited visibility of
 donation requests for open-source software.
 .
 It provides a simple framework (at the moment for Python only) to
 embed publication or other references in the original code so they are
 automatically collected and reported to the user at the necessary
 level of reference detail, i.e. only references for actually used
 functionality will be presented back if software provides multiple
 citeable implementations.
 .
 To get a sense of what duecredit is about, simply run
 or your analysis script with `-m duecredit`, e.g.
 .
     python -m duecredit examples/example_scipy.py
Python-Egg-Name: duecredit

Package: python-exif
Version: 2.1.2-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 130
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Provides: python2.7-exif
Homepage: https://github.com/ianare/exif-py
Priority: extra
Section: python
Filename: pool/main/p/python-exif/python-exif_2.1.2-1~nd18.04+1_all.deb
Size: 27760
SHA256: f1744c010e29ac3c18594b06bee3aec8c7dae940ee7462816a886a2a433aa971
SHA1: a318f8898fc2489647c1dd4804f5b6d5df33a857
MD5sum: 227cf7e2094e182c0418f1cf4beef0be
Description: Python library to extract Exif data from TIFF and JPEG files
 This is a Python library to extract Exif information from digital camera
 image files. It contains the EXIF.py script and the exifread library.
 .
 This package provides the Python 2.x module.

Package: python-filelock
Version: 3.0.12-1+nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 36
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Homepage: https://github.com/benediktschmitt/py-filelock
Priority: optional
Section: python
Filename: pool/main/p/python-filelock/python-filelock_3.0.12-1+nd1~nd18.04+1_all.deb
Size: 8216
SHA256: 5a2c945d92692f9d081c3f9ca84bb16f3b3be5c94a44def6f0f4da8ff385785e
SHA1: 38e19458ef9863ea36fc18be795650345ad06b04
MD5sum: 6a3bd32c897bd9926f45075977d546d8
Description: platform independent file locking module (Python 2)
 This package contains a single module, which implements a platform independent
 file locking mechanism for Python. The lock includes a lock counter and is
 thread safe. This means, when locking the same lock object twice, it will not
 block.
 .
 This package installs the Python 2 version.

Package: python-fsl
Source: fslpy
Version: 1.2.2-2~nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 404
Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), python-deprecation, 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_1.2.2-2~nd17.10+1+nd18.04+1_all.deb
Size: 84332
SHA256: 2afcd0dd580fe5131119664966196b3133b76a837413462b5b642e6ebae00830
SHA1: 30bed1680e6c061ecdb3f98dac5c429de105ee46
MD5sum: f5549bd48ab8dfd821766e80425c88bc
Description: FSL Python library
 Support library for FSL.
 .
 This package provides the Python 2 module.

Package: python-fsleyes-props
Source: fsleyes-props
Version: 1.2.1-3~nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 404
Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Conflicts: python-props (<= 1.0~)
Replaces: python-props
Provides: python-props, python2.7-fsleyes-props
Priority: optional
Section: python
Filename: pool/main/f/fsleyes-props/python-fsleyes-props_1.2.1-3~nd17.10+1+nd18.04+1_all.deb
Size: 75444
SHA256: 5efe94d355bf5fe20c4cc664e6bca8d5b4cbba4afb9fc4b651a958413bdfe3eb
SHA1: 9cafb04e34afaa8ccaaaa5acea5b703b010eb21f
MD5sum: 263ef61bed98a7aa5b5907359ea5a166
Description: Python descriptor framework
 Event programming framework with the ability for automatic CLI generation,
 and automatic GUI generation (with wxPython).
 .
 This package provides the Python 2 module.

Package: python-fsleyes-widgets
Source: fsleyes-widgets
Version: 0.2.0-2~nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 374
Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Provides: python2.7-fsleyes-widgets
Priority: optional
Section: python
Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.2.0-2~nd17.10+1+nd18.04+1_all.deb
Size: 68972
SHA256: 954027d626199276d859fa932271ecdd6caeb001955eb0acef186e603d498d5a
SHA1: fbe3723d7e15e2a81cbaec8d931475c21dbf621d
MD5sum: b5570aecdb7d967443e30dcc4aa0145c
Description: Python descriptor framework
 A collection of GUI widgets and utilities, based on wxPython.
 .
 This package provides the Python 2 module.

Package: python-git-doc
Source: python-git
Version: 3.0.5-1~nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1009
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common
Breaks: python-git
Replaces: python-git
Multi-Arch: foreign
Homepage: https://github.com/gitpython-developers/GitPython
Priority: optional
Section: doc
Filename: pool/main/p/python-git/python-git-doc_3.0.5-1~nd1~nd18.04+1_all.deb
Size: 126948
SHA256: db267fddd4c5112b11ecef9271d381d2ec1ffc6ca48cd0ad7baf2e5cd5a4a4fb
SHA1: 3a4e878eda13c19e6e46b6cf600fb329f8e0ebe7
MD5sum: 1ff4bd22cc4285f6751a84a77c8cac0c
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-gitdb
Version: 2.0.6-1~nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 216
Depends: neurodebian-popularity-contest, python-smmap (>> 2), python:any (<< 2.8), python:any (>= 2.7.5-5~)
Provides: python2.7-gitdb
Homepage: https://github.com/gitpython-developers/gitdb
Priority: optional
Section: python
Filename: pool/main/p/python-gitdb/python-gitdb_2.0.6-1~nd1~nd18.04+1_all.deb
Size: 47016
SHA256: aea58ce4d9a1ce6dd2906d836766aea177c5a0d6c441b9eaf23ab3433de6e3a5
SHA1: 6ba0b7960e8e673ef32e429a36b5cd696985fd34
MD5sum: 3c54337e0abf388de2283191fd0b2486
Description: pure-Python git object database (Python 2)
 The GitDB project implements interfaces to allow read and write access to
 git repositories. In its core lies the db package, which contains all
 database types necessary to read a complete git repository. These are
 the LooseObjectDB, the PackedDB and the ReferenceDB which are combined
 into the GitDB to combine every aspect of the git database.
 .
 This package contains the Python 2.x module.

Package: python-github
Source: pygithub
Version: 1.40-1+nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 807
Depends: neurodebian-popularity-contest, python-jwt, python-requests, 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_1.40-1+nd1~nd18.04+1_all.deb
Size: 55576
SHA256: eb425ec57ca6daa17c8501558a3ef266de365556fb7610a8068cbd3dc3240fbd
SHA1: a9918882e1d5836c0472a7101444b9ebf4d45524
MD5sum: 15ae79c979f0686b57a534d1499df8a3
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-httpretty
Version: 0.8.14-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 98
Depends: neurodebian-popularity-contest, python-urllib3, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Homepage: https://github.com/gabrielfalcao/httpretty
Priority: optional
Section: python
Filename: pool/main/p/python-httpretty/python-httpretty_0.8.14-1~nd18.04+1_all.deb
Size: 21032
SHA256: 41332aef69212fba4bfb6e0bbef56bf7607726eef270c187a981049441024137
SHA1: d380f040887108c0f01baaef8d6eb8485154a30f
MD5sum: d5cab5ede9fc2875b8c9bdcb0b9fc088
Description: HTTP client mock - Python 2.x
 Once upon a time a Python developer wanted to use a RESTful API, everything
 was fine but until the day he needed to test the code that hits the RESTful
 API: what if the API server is down? What if its content has changed ?
 .
 Don't worry, HTTPretty is here for you.
 .
 This package provides the Python 2.x module.

Package: python-hypothesis
Version: 3.44.1-1~bpo9+1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 610
Depends: neurodebian-popularity-contest, python-enum34, python-attr, python-coverage, 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_3.44.1-1~bpo9+1~nd18.04+1_all.deb
Size: 120320
SHA256: 0d5d1e690c7eacbaa85530239f2cdaa4d533a9fa64b40263b9b630d6d2c0b100
SHA1: 8d55c6e7fc450927e5218797e7b5c4adc94c7987
MD5sum: 1e2b575ff76fc4070c695b74d3189798
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: 3.44.1-1~bpo9+1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1079
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common
Homepage: https://github.com/DRMacIver/hypothesis
Priority: optional
Section: doc
Filename: pool/main/p/python-hypothesis/python-hypothesis-doc_3.44.1-1~bpo9+1~nd18.04+1_all.deb
Size: 143692
SHA256: 2f4b40f4aacb486cfc890fd16b9f9a43ab162b3fe2ca54b098184935548f6984
SHA1: c5b906e561b1d4268ff4526fd6a0436e6de5f74b
MD5sum: eef5642ed0212fa77e389b81ab77a8cf
Description: advanced Quickcheck style testing library (documentation)
 Hypothesis is a library for testing your Python code against a much
 larger range of examples than you would ever want to write by
 hand. It's based on the Haskell library, Quickcheck, and is designed
 to integrate seamlessly into your existing Python unit testing work
 flow.
 .
 Hypothesis is both extremely practical and also advances the state of
 the art of unit testing by some way. It's easy to use, stable, and
 extremely powerful. If you're not using Hypothesis to test your
 project then you're missing out.
 .
 This package contains the documentation for Hypothesis.

Package: python-joblib
Source: joblib
Version: 0.13.2-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 875
Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), procps
Recommends: python-numpy, python-pytest, python-simplejson, python-lz4, python-psutil
Homepage: http://packages.python.org/joblib/
Priority: optional
Section: python
Filename: pool/main/j/joblib/python-joblib_0.13.2-1~nd18.04+1_all.deb
Size: 192460
SHA256: 4fbaad2ec40cd2bcdac3af94b1f189c7dc20f872c01801357b79ecd341806773
SHA1: 2a46c2cd9f0925bc739421e95cc707b90b0f278d
MD5sum: e87876810133566a161571a0399b5b2e
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-jsonschema-doc
Source: python-jsonschema
Version: 3.0.2-4~nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 540
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0)
Homepage: https://github.com/Julian/jsonschema
Priority: optional
Section: doc
Filename: pool/main/p/python-jsonschema/python-jsonschema-doc_3.0.2-4~nd1~nd18.04+1_all.deb
Size: 68856
SHA256: cfc85fac23d558bf1a543cc442c528cfb8d3bd8ddab1681783328d5459ee6106
SHA1: 3fd0a79ba5da9117d399948d55854b46c4613651
MD5sum: 65fd07ae39595733b3efc788174ce3a3
Description: An(other) implementation of JSON Schema (Draft 3 and 4) - doc
 JSON Schema is a specification for a JSON-based format for defining
 the structure of JSON data. JSON Schema provides a contract for what
 JSON data is required for a given application and how it can be
 modified, much like what XML Schema provides for XML. JSON Schema is
 intended to provide validation, documentation, and interaction control
 of JSON data.
 .
 This package provides the documentation.

Package: python-libxmp
Source: python-xmp-toolkit
Version: 2.0.1+git20140309.5437b0a-4~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 145
Depends: neurodebian-popularity-contest, libexempi3, python-tz, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Suggests: python-libxmp-doc
Homepage: http://python-xmp-toolkit.readthedocs.org/
Priority: optional
Section: python
Filename: pool/main/p/python-xmp-toolkit/python-libxmp_2.0.1+git20140309.5437b0a-4~nd18.04+1_all.deb
Size: 23376
SHA256: 03bc5e25132cdda4b7188eddc804b1c02d5086281416b5c371e3ffc0f642b323
SHA1: 5c40af82cb44589374df6b1210dcf31cdbd9a8f5
MD5sum: 55c68c2de45bbde1be94b1f402d626ef
Description: Python library for XMP metadata
 Python XMP Toolkit is a library for working with XMP metadata, as well as
 reading/writing XMP metadata stored in many different file formats.
 .
 XMP (Extensible Metadata Platform) facilitates embedding metadata in files
 using a subset of RDF. Most notably XMP supports embedding metadata in PDF and
 many image formats, though it is designed to support nearly any file type.
 .
 This package provides Python bindings.

Package: python-libxmp-doc
Source: python-xmp-toolkit
Version: 2.0.1+git20140309.5437b0a-4~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 237
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0)
Recommends: python-libxmp, python3-libxmp
Homepage: http://python-xmp-toolkit.readthedocs.org/
Priority: optional
Section: doc
Filename: pool/main/p/python-xmp-toolkit/python-libxmp-doc_2.0.1+git20140309.5437b0a-4~nd18.04+1_all.deb
Size: 37176
SHA256: 04d289c82048bfec89269cc5a34b2223b07151f6c9862305d15447077e4d8b57
SHA1: 6492a907a187125002598188955f6ea18728a5fe
MD5sum: 0c6aee0c62f81246fc5d013de40d0a33
Description: Python library for XMP metadata - documentation
 Python XMP Toolkit is a library for working with XMP metadata, as well as
 reading/writing XMP metadata stored in many different file formats.
 .
 XMP (Extensible Metadata Platform) facilitates embedding metadata in files
 using a subset of RDF. Most notably XMP supports embedding metadata in PDF and
 many image formats, though it is designed to support nearly any file type.
 .
 This package contains the documentation.

Package: python-mvpa2
Source: pymvpa2
Version: 2.6.5-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 8602
Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.5-1~nd18.04+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_2.6.5-1~nd18.04+1_all.deb
Size: 5106356
SHA256: a859f9b209a5e056239bb53dd3ed2ce770459bfaeac7cfb0ff9dc04a7636a100
SHA1: 5589ca034730bf44863d1711c5bb530ab10818ee
MD5sum: 5e04676a31cc1ef914b06b70aecf132c
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: 2.6.5-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 20441
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_2.6.5-1~nd18.04+1_all.deb
Size: 4260928
SHA256: 872c0eccce4cb62d4fc15822d80d0ae2288d1c6e3dc77ccdeaa2c53a3170f95d
SHA1: 7b4f46f487f07312f0b0e64c2d056e1ef610f559
MD5sum: 498f26718581a15f2366e011c6d64d09
Description: documentation and examples for PyMVPA v. 2
 This is an add-on package for the PyMVPA framework. It provides a
 HTML documentation (tutorial, FAQ etc.), and example scripts.
 In addition the PyMVPA tutorial is also provided as IPython notebooks.

Package: python-nibabel
Source: nibabel
Version: 2.5.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 65839
Depends: neurodebian-popularity-contest, python-numpy, python-six (>= 1.3), python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy, python-bz2file
Recommends: python-dicom, python-fuse
Suggests: python-nibabel-doc, python-mock
Homepage: http://nipy.sourceforge.net/nibabel
Priority: extra
Section: python
Filename: pool/main/n/nibabel/python-nibabel_2.5.1-1~nd18.04+1_all.deb
Size: 2650696
SHA256: 6fc27a75df49b567e3ea7ccda70246618960e8e0aa0f4ed6a154b4e1afbca00d
SHA1: 996e95fd566267fbb92d1bef6babcc0b7d680c9b
MD5sum: 7eefa941a85137366c0a39fca52a2b38
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: 2.5.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 9223
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_2.5.1-1~nd18.04+1_all.deb
Size: 1484652
SHA256: 0637ff6fd5448267db9e1c6c1656c2dda43002cb9b28948c6be9b3a5db8bbc7b
SHA1: db7673024d75707aaf16eca643928ecbfffcdb8f
MD5sum: 0eee3ffd7a11902c9100418252def85e
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: 0.4.2-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 3547
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 (>= 0.4.2-2~nd18.04+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_0.4.2-2~nd18.04+1_all.deb
Size: 783300
SHA256: 617f00aa81de8fc80887429b3f7ed7171e06ff6cfe2097a1c73625bfea91423f
SHA1: 02583b2b03e380b004071b13620162708cc6e9ac
MD5sum: 712efe8584f061298c471009e1c9922b
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: 0.4.2-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 9415
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_0.4.2-2~nd18.04+1_all.deb
Size: 1903248
SHA256: cb615a6500d769246c4e381651f1d4838829e1a4549de1e2a3ac42e0fb3bb26f
SHA1: e6d7a67914aa9019e1521f19737db722c0da1153
MD5sum: 634cdd3de1c7bfa1e77c17457d58019c
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: 1.1.9-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 10996
Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-concurrent.futures, python-configparser, python-dateutil (>= 2.2), python-funcsigs, python-future, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-scipy, python-simplejson, python-traits, python:any (>= 2.6.6-7~), python-traits (>= 4.5.0) | python-traits4 (>= 4.5.0), python-psutil
Recommends: ipython, python-pytest, graphviz, python-xvfbwrapper, mayavi2, python-mock, python-pydotplus, python-pydot, python-cfflib
Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants, python-pytest-xdist, python-bids
Provides: python2.7-nipype
Homepage: http://nipy.sourceforge.net/nipype/
Priority: optional
Section: python
Filename: pool/main/n/nipype/python-nipype_1.1.9-1~nd18.04+1_all.deb
Size: 1891272
SHA256: a275f985637f3b008fe586c6b745fc0dd725120bc642a25eaad25c05dcfdf346
SHA1: 35a35778ec3bbde6ac6087f9a3b0223c738625e7
MD5sum: ac4a487df88365e0251d8005a620a022
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: 1.1.9-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 38457
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_1.1.9-1~nd18.04+1_all.deb
Size: 17418076
SHA256: 2896652af664af5f5a5944c69422b3d09494df0bb5f054fcd30d6b4d6fb5249e
SHA1: d9d1898af1aa316560877336bf8b06811af0027d
MD5sum: 998674b9700fc39418e43ebe73815264
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-doc
Source: nitime
Version: 0.8.1-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 4194
Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore
Suggests: python3-nitime
Homepage: https://nipy.org/nitime
Priority: optional
Section: doc
Filename: pool/main/n/nitime/python-nitime-doc_0.8.1-2~nd18.04+1_all.deb
Size: 2424148
SHA256: 546a26fdd570ce3e5f7768f645db802e026247e24f52f90a342ca092812ef950
SHA1: 8b3a3c979cb4ba14ef305cc858522524fec3b667
MD5sum: 85f06d37e36701044268801123c5c7b6
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-pandas
Source: pandas
Version: 0.23.3-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 12452
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 (>= 0.23.3-1~nd18.04+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: https://pandas.pydata.org/
Priority: optional
Section: python
Filename: pool/main/p/pandas/python-pandas_0.23.3-1~nd18.04+1_all.deb
Size: 1743236
SHA256: 51f619068360de414a3f7487eb9b1dc9b6982e5876d91341c978c1883f4ea7f1
SHA1: 1cb5048e40fa73a88966fb656462cb458e3cb35d
MD5sum: c8b5476836e10455bd2c6a48aca19080
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: 0.23.3-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 36
Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax
Suggests: python-pandas
Homepage: https://pandas.pydata.org/
Priority: optional
Section: doc
Filename: pool/main/p/pandas/python-pandas-doc_0.23.3-1~nd18.04+1_all.deb
Size: 18236
SHA256: 22e2bb53b59b52d2fdee550a52feb79fbba12cf34ef043880645c9cdaf7c698b
SHA1: 9472e41e18721d039692eb7fb072bb491a0e3b59
MD5sum: fb1aca469ba7c9e1d8c7650332fe0c9e
Description: documentation and examples for pandas
 This package contains documentation and example scripts for
 python-pandas.

Package: python-patsy
Source: patsy
Version: 0.5.0+git13-g54dcf7b-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 780
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_0.5.0+git13-g54dcf7b-1~nd18.04+1_all.deb
Size: 168356
SHA256: 8efeef8c7b7ddf5e1c83e399b4fa22a2402900029fd3f44e4f586e8d1cd8e070
SHA1: 76bf15bf4717b77eac9c8832e3101fdaf3c99205
MD5sum: 079b4d1820538b630c0cc492c5b0000a
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: 0.5.0+git13-g54dcf7b-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1188
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_0.5.0+git13-g54dcf7b-1~nd18.04+1_all.deb
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MD5sum: db50469e0ef1a50614badf52d152918d
Description: documentation and examples for patsy
 This package contains documentation and example scripts for
 python-patsy.

Package: python-pprocess
Source: pprocess
Version: 0.5-2~nd17.04+1+nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 762
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Provides: python2.7-pprocess
Homepage: http://www.boddie.org.uk/python/pprocess.html
Priority: optional
Section: python
Filename: pool/main/p/pprocess/python-pprocess_0.5-2~nd17.04+1+nd17.10+1+nd18.04+1_all.deb
Size: 83108
SHA256: 8ae099383d8c157ae1300aaf8cf62bc0b9e23cb636813b168f781b2c8379df59
SHA1: d0073bb3d9099579f73c5f3bc814e88812cbc34d
MD5sum: ac9d0604892092eb645835244e5eb2ba
Description: elementary parallel programming for Python
 The pprocess module provides elementary support for parallel programming in
 Python using a fork-based process creation model in conjunction with a
 channel-based communications model implemented using socketpair and poll. On
 systems with multiple CPUs or multicore CPUs, processes should take advantage
 of as many CPUs or cores as the operating system permits.

Package: python-props
Source: props
Version: 0.10.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 651
Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-matplotlib, python-numpy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Provides: python2.7-props
Priority: optional
Section: python
Filename: pool/main/p/props/python-props_0.10.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb
Size: 117480
SHA256: 25eda699c2fb413e4a54006ba2fe99acaf7e444d2b8377cf0d3ca8d6fb7c4ff0
SHA1: 13e829aa2775b53b096e8c0f075e79d4fac3a4bf
MD5sum: 05009edec10f60423d2ce747b3b0e056
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-pydicom
Source: pydicom
Version: 1.2.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 14179
Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~)
Recommends: python-numpy, python-pil
Suggests: python-matplotlib, python-gdcm
Breaks: python-dicom (<< 1~)
Replaces: python-dicom (<< 1~)
Provides: python-dicom
Homepage: https://pydicom.github.io
Priority: optional
Section: python
Filename: pool/main/p/pydicom/python-pydicom_1.2.1-1~nd18.04+1_all.deb
Size: 4396928
SHA256: b00193d6e31148d148bd759287447789d2143367655b573a410fcbc4e81cbf13
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MD5sum: fd62acd6f02cf16443b10c2c1117ad47
Description: DICOM medical file reading and writing (Python 2)
 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.
 .
 This package installs the module for Python 2.

Package: python-pydicom-doc
Source: pydicom
Version: 1.2.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 2791
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common
Breaks: python-dicom-doc (<< 1~)
Replaces: python-dicom-doc (<< 1~)
Provides: python-dicom-doc
Homepage: https://pydicom.github.io
Priority: optional
Section: doc
Filename: pool/main/p/pydicom/python-pydicom-doc_1.2.1-1~nd18.04+1_all.deb
Size: 345884
SHA256: 339d8c5436f3dd776a669ef38952452a8f2522460cb009c89cc6e928b52fe823
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MD5sum: da130241d4d5fab244f7f59dd1165f7a
Description: DICOM medical file reading and writing (documentation)
 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.
 .
 This package contains the documentation.

Package: python-pydot
Source: pydot
Version: 1.2.3-1.1~nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 90
Depends: neurodebian-popularity-contest, python-pyparsing (>= 2.0.1+dfsg1-1), python:any (<< 2.8), python:any (>= 2.7.5-5~), graphviz
Homepage: https://github.com/erocarrera/pydot
Priority: optional
Section: python
Filename: pool/main/p/pydot/python-pydot_1.2.3-1.1~nd17.10+1+nd18.04+1_all.deb
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SHA256: 46529b3c6a0f2a0a924f39aa1875a0fba4a636eb76d614d02e90647918da9a5c
SHA1: 7f1a688ad4549db5d372360eff00c339da287c3d
MD5sum: ac2c61010959580243595a75c8732436
Description: Python interface to Graphviz's dot
 pydot allows one to easily create both directed and non directed graphs from
 Python. Currently all attributes implemented in the Dot language are supported.
 .
 Output can be inlined in Postscript into interactive scientific environments
 like TeXmacs, or output in any of the format's supported by the Graphviz tools
 dot, neato, twopi.

Package: python-pynwb
Source: pynwb
Version: 0.5.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 687
Depends: neurodebian-popularity-contest, python-dateutil, python-h5py, python-numpy, python-pandas, python-requests, python-ruamel.yaml, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Homepage: https://github.com/NeurodataWithoutBorders/pynwb
Priority: optional
Section: python
Filename: pool/main/p/pynwb/python-pynwb_0.5.1-1~nd18.04+1_all.deb
Size: 98156
SHA256: 3cc7b8a3da93334f4a3fb44e42f2bb425b6192db4cc2ffaaeb236ff6d03004a9
SHA1: d506818c38749c6da37f057c5b59b2d429d0d0d0
MD5sum: 2f4be911f2b80dbec3ec8e62f56a9c39
Description: Python library for working with Neurodata in the NWB format
 PyNWB is a Python package for working with NWB files. It provides a
 high-level API for efficiently working with Neurodata stored in the
 NWB format.
 .
 Neurodata Without Borders: Neurophysiology (NWB:N) is a project to
 develop a unified data format for cellular-based neurophysiology
 data, focused on the dynamics of groups of neurons measured under a
 large range of experimental conditions.

Package: python-pyperclip
Version: 1.6.0-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 42
Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), xclip | xsel | python-gi | python-qt4
Homepage: https://github.com/asweigart/pyperclip
Priority: optional
Section: python
Filename: pool/main/p/python-pyperclip/python-pyperclip_1.6.0-2~nd18.04+1_all.deb
Size: 9516
SHA256: 03fbfab1fdeb0edce08c2bc8305ca1001062bac41998c1390e14d1d06fe669db
SHA1: 09073d95bf783414de0c303f45e07793007c3e72
MD5sum: 4ba75f1dfbda8d071a9a5a3ad886694d
Description: Cross-platform clipboard module for Python
 This module is a cross-platform Python module for copy and paste clipboard
 functions.
 .
 It currently only handles plaintext.

Package: python-requests
Source: requests
Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 243
Depends: neurodebian-popularity-contest, python-urllib3 (>= 1.12), python:any (<< 2.8), python:any (>= 2.7.5-5~), ca-certificates, python-chardet
Suggests: python-ndg-httpsclient, python-openssl, python-pyasn1
Breaks: httpie (<< 0.9.2)
Homepage: http://python-requests.org
Priority: optional
Section: python
Filename: pool/main/r/requests/python-requests_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb
Size: 68300
SHA256: 00ea179e2885183c035a39cf0e9b3662275f88dc2a7f656a35ea1187b0fa8532
SHA1: 7346cfc18d6164c02a85a6d571cfa61835e41a00
MD5sum: 1c2977f809255bfdc23281e18af95632
Description: elegant and simple HTTP library for Python2, built for human beings
 Requests allow you to send HTTP/1.1 requests. You can add headers, form data,
 multipart files, and parameters with simple Python dictionaries, and access
 the response data in the same way. It's powered by httplib and urllib3, but
 it does all the hard work and crazy hacks for you.
 .
 Features
 .
   - International Domains and URLs
   - Keep-Alive & Connection Pooling
   - Sessions with Cookie Persistence
   - Browser-style SSL Verification
   - Basic/Digest Authentication
   - Elegant Key/Value Cookies
   - Automatic Decompression
   - Unicode Response Bodies
   - Multipart File Uploads
   - Connection Timeouts

Package: python-requests-whl
Source: requests
Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 353
Depends: neurodebian-popularity-contest, ca-certificates, python-urllib3-whl
Homepage: http://python-requests.org
Priority: optional
Section: python
Filename: pool/main/r/requests/python-requests-whl_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb
Size: 319100
SHA256: 835245b149dd24dc4ecfce54c285f7416a95421b1f3a28a04980e0bb80f2ac01
SHA1: 0db33718d54f707e368a8f7da749bfef07816373
MD5sum: 257c2a4ec35a3f87da20f2e62feb3609
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-skimage
Source: skimage
Version: 0.14.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 26057
Depends: neurodebian-popularity-contest, python-matplotlib (>= 1.3.1), python-networkx (>= 1.8), python-numpy, python-pil, python-scipy, python-six (>= 1.10.0), python-skimage-lib (>= 0.14.0-1~nd18.04+1), python (<< 2.8), python (>= 2.7), python-cloudpickle, python-pywt, python:any (>= 2.6.6-7~)
Recommends: python-pytest, python-qt4
Suggests: python-opencv, python-skimage-doc
Homepage: http://scikit-image.org
Priority: optional
Section: python
Filename: pool/main/s/skimage/python-skimage_0.14.0-1~nd18.04+1_all.deb
Size: 19923008
SHA256: 2c0b7c597ab364af409dc9efaa5c41004b06435b1cd46764a65b974d7a0692bb
SHA1: a526b8db5e19b6270e7997a4bbaec3d17fe2672b
MD5sum: 62ca557896e419274a78e77b594f9d00
Description: Python modules for image processing
 scikit-image is a collection of image processing algorithms for
 Python.  It performs tasks such as image loading, filtering,
 morphology, segmentation, color conversions, and transformations.
 .
 This package provides the Python 2 module.

Package: python-skimage-doc
Source: skimage
Version: 0.14.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1672
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0)
Suggests: python-skimage
Multi-Arch: foreign
Homepage: http://scikit-image.org
Priority: optional
Section: doc
Filename: pool/main/s/skimage/python-skimage-doc_0.14.0-1~nd18.04+1_all.deb
Size: 786844
SHA256: ecef6924626f3f9db373e7fda51a01c63452b412abe8638ba4b93623952c3fce
SHA1: 0d94c3d3766f64f7fab928517c1cff1b66eb2385
MD5sum: e458c9f936989048694957f96a0a8dc9
Description: Documentation and examples for scikit-image
 scikit-image is a collection of image processing algorithms for
 Python.  It performs tasks such as image loading, filtering,
 morphology, segmentation, color conversions, and transformations.
 .
 This package contains documentation and example scripts for
 python-skimage.

Package: python-sklearn
Source: scikit-learn
Version: 0.20.0+dfsg-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 7540
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.20.0+dfsg-2~nd18.04+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_0.20.0+dfsg-2~nd18.04+1_all.deb
Size: 1517588
SHA256: fdc84dda0f0af1815d9e8670491673b141b0c43a0a70e2d7a10522be449be827
SHA1: b8e91bcdf6dd4f68349c8876731bbc16c5aaff89
MD5sum: 2636a70f83786c3205f466cf4fbf7afc
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: 0.20.0+dfsg-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 87370
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), libjs-bootstrap, libjs-mathjax
Suggests: python-sklearn
Conflicts: python-scikits-learn-doc
Replaces: python-scikits-learn-doc
Built-Using: sphinx (= 1.6.7-1ubuntu1)
Homepage: http://scikit-learn.sourceforge.net
Priority: optional
Section: doc
Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.20.0+dfsg-2~nd18.04+1_all.deb
Size: 39843940
SHA256: e4434800a6ec6ee767ee7432119e2f0ca89c8b5c8699244191152da33e9b95ac
SHA1: 7bf40186dd0aad80494be2cf8f43f1c680b5be16
MD5sum: 0f56f8817338ece186bb3d3febeafcc5
Description: documentation and examples for scikit-learn
 This package contains documentation and example scripts for
 python-sklearn.

Package: python-sphinx-gallery
Source: sphinx-gallery
Version: 0.2.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 217
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-matplotlib, python-pil, python-sphinx
Suggests: python-sphinx-gallery-doc, mayavi2, python-seaborn
Homepage: https://sphinx-gallery.github.io/
Priority: optional
Section: python
Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery_0.2.0-1~nd18.04+1_all.deb
Size: 71888
SHA256: 187c96a7dc694bace9c60a3ecf33e40955a57f94161b4e7943a3f5bdd04217f6
SHA1: 0b44b91d42e5a2a2a37730e1616068faf3e4adc3
MD5sum: 2ea0bf7c48acd64c4f87b3dc054b1a90
Description: extension that builds an HTML gallery of examples from Python scripts
 * Simple examples that run out of the box are the best way to learn a library
 * Pleasing, organized, visual layouts
 * Links, searching, backlinks throughout examples and documentation
 .
 This package contains the Python 2 version of sphinx-gallery.

Package: python-sphinx-gallery-doc
Source: sphinx-gallery
Version: 0.2.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 2597
Depends: neurodebian-popularity-contest
Homepage: https://sphinx-gallery.github.io/
Priority: optional
Section: doc
Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery-doc_0.2.0-1~nd18.04+1_all.deb
Size: 1328876
SHA256: f63a6b2046fcfa3abc217e3e837fdc05ecf1c76724300ca9e0eb9e55adec1c1d
SHA1: e58fcdbdc4f33f153840530042dc86a64d17f56d
MD5sum: 19613e357bb27018a73b292c95469c2c
Description: extension that builds an HTML gallery of examples from Python scripts (Doc)
 * Simple examples that run out of the box are the best way to learn a library
 * Pleasing, organized, visual layouts
 * Links, searching, backlinks throughout examples and documentation
 .
 This package contains documentation for sphinx-gallery.

Package: python-sympy
Source: sympy
Version: 1.3-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 26373
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mpmath
Recommends: python-pil, python-ctypes, ipython, python-numpy, python-pyglet, python-gmpy
Suggests: texlive-fonts-extra, dvipng, python-sympy-doc
Enhances: isympy
Homepage: http://sympy.org/
Priority: optional
Section: python
Filename: pool/main/s/sympy/python-sympy_1.3-1~nd18.04+1_all.deb
Size: 3499420
SHA256: 77e3ecb1c95afd35e9b2562192d734f82e50b29c67142bfa49931bf0da739b99
SHA1: 8fe0199bf603abc853ec8db4cfda2c3a32b572b2
MD5sum: 00b59c837d3c01b249245ba023cef078
Description: Computer Algebra System (CAS) in Python
 SymPy is a Python library for symbolic mathematics (manipulation). It aims to
 become a full-featured computer algebra system (CAS) while keeping the code as
 simple as possible in order to be comprehensible and easily extensible. SymPy
 is written entirely in Python and does not require any external libraries,
 except optionally for plotting support.

Package: python-sympy-doc
Source: sympy
Version: 1.3-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 58949
Depends: neurodebian-popularity-contest
Suggests: python-sympy
Homepage: http://sympy.org/
Priority: optional
Section: doc
Filename: pool/main/s/sympy/python-sympy-doc_1.3-1~nd18.04+1_all.deb
Size: 7248216
SHA256: dc49d55e563905f985e295e8df67ecc02838547c8ad46d3fb8de229bdec557e5
SHA1: e3da47048666277ac57d28174f2d4aa45f5fc16a
MD5sum: 726cd27aba9a4edd8e96303b10dab7d1
Description: Computer Algebra System (CAS) in Python - Documentation
 SymPy is a Python library for symbolic mathematics (manipulation). It aims to
 become a full-featured computer algebra system (CAS) while keeping the code as
 simple as possible in order to be comprehensible and easily extensible. SymPy
 is written entirely in Python and does not require any external libraries,
 except optionally for plotting support.
 .
 This package contains the documentation for sympy Python module.

Package: python-urllib3
Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 254
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six
Recommends: ca-certificates, python-ndg-httpsclient, python-openssl, python-pyasn1
Suggests: python-ntlm
Homepage: http://urllib3.readthedocs.org
Priority: optional
Section: python
Filename: pool/main/p/python-urllib3/python-urllib3_1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb
Size: 65532
SHA256: c145793413b31e82702be3241a1e66132d8893276ac9e49337753667c31be299
SHA1: 2829979657aa7e8c9a03a35c4680aa8f102af336
MD5sum: d43700c36d4af637d0e59926e4156dcb
Description: HTTP library with thread-safe connection pooling for Python
 urllib3 supports features left out of urllib and urllib2 libraries.
 .
   - Re-use the same socket connection for multiple requests (HTTPConnectionPool
     and HTTPSConnectionPool) (with optional client-side certificate
     verification).
   - File posting (encode_multipart_formdata).
   - Built-in redirection and retries (optional).
   - Supports gzip and deflate decoding.
   - Thread-safe and sanity-safe.
   - Small and easy to understand codebase perfect for extending and
     building upon.

Package: python-urllib3-whl
Source: python-urllib3
Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 102
Depends: neurodebian-popularity-contest, python-six-whl
Recommends: ca-certificates
Homepage: http://urllib3.readthedocs.org
Priority: optional
Section: python
Filename: pool/main/p/python-urllib3/python-urllib3-whl_1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb
Size: 93052
SHA256: 658e64c416fbafd9bc070f9a20c9d0ddab39668df2bf08b2f8e36468b798cfdd
SHA1: 30caaaaf95c7b1227cce9e7c1cecef270b129e5c
MD5sum: dce299ce3ade22de0085cded08bedab0
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-wrapt-doc
Source: python-wrapt
Version: 1.9.0-4~nd0~nd17.04+1+nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 461
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common
Homepage: https://github.com/GrahamDumpleton/wrapt
Priority: optional
Section: doc
Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd17.04+1+nd17.10+1+nd18.04+1_all.deb
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SHA256: 5defb7d4bef5f2b569c3b7b2dce81c4afe346bdb9b7d5d971b6909743e328477
SHA1: dc2cd4e998317d4dbf8da1d58926798629b350cb
MD5sum: 073fb58d36ceee0a4dadfee6a852098a
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: python-xlwt
Source: xlwt
Version: 1.3.0-2~nd0~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 445
Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Suggests: python-xlrd, python-xlrt-doc
Homepage: https://pypi.python.org/pypi/xlwt
Priority: optional
Section: python
Filename: pool/main/x/xlwt/python-xlwt_1.3.0-2~nd0~nd18.04+1_all.deb
Size: 83872
SHA256: 5c953000522ed0a40179c07ea8dc0ea4ac2ae31e1b074081efae316f1562d48c
SHA1: 4a06974461b0e57c4412136b0a720966037a8d89
MD5sum: f5e1690584d1b6246262282b0b2a478f
Description: module for writing Microsoft Excel spreadsheet files - Python 2.7
 This package provides a pure Python module for writing spreadsheet files
 readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel
 spreadsheets can be generated on any platform without needing Excel or a COM
 server.
 .
 Xlwt is a fork of the unmaintained pyExcelerator module with several
 bugfixes and enhancements. For the functionality previously provided by the
 parse_xls function, see the python-xlrd package.
 .
 This package provides the Python 2.7 module.

Package: python-xlwt-doc
Source: xlwt
Version: 1.3.0-2~nd0~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 246
Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0)
Breaks: python-xlwt (<< 1.3.0)
Replaces: python-xlwt (<< 1.3.0)
Homepage: https://pypi.python.org/pypi/xlwt
Priority: optional
Section: doc
Filename: pool/main/x/xlwt/python-xlwt-doc_1.3.0-2~nd0~nd18.04+1_all.deb
Size: 52708
SHA256: ad2a10c48e05f4c94e60d9147e9bd4fa52e5c7b133d6ca325578bee0142023b0
SHA1: 4c4e7768dafda6758505b255ae8942dd9be7b389
MD5sum: 16b3706edf48716c2a3563d1a2089932
Description: module for writing Microsoft Excel spreadsheet files - doc
 This package provides a pure Python module for writing spreadsheet files
 readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel
 spreadsheets can be generated on any platform without needing Excel or a COM
 server.
 .
 Xlwt is a fork of the unmaintained pyExcelerator module with several
 bugfixes and enhancements. For the functionality previously provided by the
 parse_xls function, see the python-xlrd package.
 .
 This package provides the documentation.

Package: python3-annexremote
Source: annexremote
Version: 1.4.3-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 71
Depends: neurodebian-popularity-contest, python3-future, python3:any (>= 3.3.2-2~)
Homepage: https://github.com/Lykos153/AnnexRemote
Priority: optional
Section: python
Filename: pool/main/a/annexremote/python3-annexremote_1.4.3-1~nd18.04+1_all.deb
Size: 13888
SHA256: b9714ff4323cbf19d3e4427e92ed44c07a587a861422f5bdb4b8450e25f84aaa
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MD5sum: 1f074c4960b6e142b73c647aaa05333e
Description: abstraction for git-annex special remote implementations
 Helper module to develop special remotes for git-annex. AnnexRemote handles
 all the protocol aspects for you, so you can focus on the remote itself.  It
 implements the complete external special remote protocol and fulfils all
 specifications regarding whitespaces, and order of messages. This is ensured by
 an extensive test suite.

Package: python3-babel
Source: python-babel
Version: 2.6.0+dfsg.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 418
Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd18.04+1), python3-pkg-resources, python3-tz, python3:any (>= 3.3.2-2~)
Homepage: http://babel.pocoo.org/
Priority: optional
Section: python
Filename: pool/main/p/python-babel/python3-babel_2.6.0+dfsg.1-1~nd18.04+1_all.deb
Size: 96876
SHA256: 1a903043f96beedbfca706e299754f87a75daa01533ff1eecd1b9a07ff2e33b4
SHA1: 860bfda7ee3979ea07736f76f4ff755c147edcbc
MD5sum: e4301eae7cb2747649e6d45e07fa64de
Description: tools for internationalizing Python applications - Python 3.x
 Babel is composed of two major parts. First tools to build and work with
 gettext message catalogs. Second a Python interface to the CLDR (Common
 Locale Data Repository), providing access to various locale display
 names, localized number and date formatting, etc.
 .
 This package provides the Python 3.x module.

Package: python3-boto
Source: python-boto
Version: 2.44.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 5140
Depends: neurodebian-popularity-contest, python3-requests, python3:any (>= 3.3.2-2~), python3-six
Homepage: https://github.com/boto/boto
Priority: optional
Section: python
Filename: pool/main/p/python-boto/python3-boto_2.44.0-1~nd18.04+1_all.deb
Size: 739796
SHA256: d595e83ff222c6241630fd26fa46fb04a76e75e63cf614e22a54114fc858df27
SHA1: 031953dfdf305ffb24a442a94b31cfecec9136ab
MD5sum: 86dd962c7e54994f10498e0a331f50ea
Description: Python interface to Amazon's Web Services - Python 3.x
 Boto is a Python interface to the infrastructure services available from
 Amazon.
 .
 Boto supports the following services:
  * Elastic Compute Cloud (EC2)
  * Elastic MapReduce
  * CloudFront
  * DynamoDB
  * SimpleDB
  * Relational Database Service (RDS)
  * Identity and Access Management (IAM)
  * Simple Queue Service (SQS)
  * CloudWatch
  * Route53
  * Elastic Load Balancing (ELB)
  * Flexible Payment Service (FPS)
  * Simple Storage Service (S3)
  * Glacier
  * Elastic Block Store (EBS)
  * and many more...
 .
 This package provides the Python 3.x module.

Package: python3-bz2file
Source: python-bz2file
Version: 0.98-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 35
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~)
Homepage: https://github.com/nvawda/bz2file
Priority: optional
Section: python
Filename: pool/main/p/python-bz2file/python3-bz2file_0.98-1~nd18.04+1_all.deb
Size: 8008
SHA256: 6da2d779a7143e865f5d2f04f7ef0eb0535651c5ceabe7f4c36f419e74ed4bd0
SHA1: bb2994e294d8f7e89d1fb08a5f6a191a04f2e04e
MD5sum: 94de06b99b7d760c0e358da174bc84d1
Description: Python3 library for reading and writing bzip2-compressed files
 Bz2file is a Python library for reading and writing bzip2-compressed files.
 .
 It contains a drop-in replacement for the file interface in the standard
 library's bz2 module, including features from the latest development version
 of CPython that are not available in older releases.
 .
 Bz2file for Python3.

Package: python3-dask
Source: dask
Version: 0.17.5-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 2406
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-toolz
Recommends: python3-cloudpickle, python3-partd, python3-numpy, python3-pandas, python3-requests
Suggests: ipython, python-dask-doc, python3-bcolz, python3-blosc, python3-boto, python3-distributed (>= 1.21), python3-graphviz, python3-h5py, python3-psutil, python3-scipy, python3-sqlalchemy, python3-skimage, python3-sklearn, python3-tables
Homepage: https://github.com/dask/dask
Priority: optional
Section: python
Filename: pool/main/d/dask/python3-dask_0.17.5-2~nd18.04+1_all.deb
Size: 429444
SHA256: e4e2e028704c221cf2f15ac486f0c9c07925e3b7c5029cd193d6062dcfe5858a
SHA1: 8edbd6f93fcff30019dcd54dac803c7d2d6820b7
MD5sum: eb29c80b93c5f47a5e0b37932ddf7a06
Description: Minimal task scheduling abstraction for Python 3
 Dask is a flexible parallel computing library for analytics,
 containing two components.
 .
 1. Dynamic task scheduling optimized for computation. This is similar
 to Airflow, Luigi, Celery, or Make, but optimized for interactive
 computational workloads.
 2. "Big Data" collections like parallel arrays, dataframes, and lists
 that extend common interfaces like NumPy, Pandas, or Python iterators
 to larger-than-memory or distributed environments. These parallel
 collections run on top of the dynamic task schedulers.
 .
 This contains the Python 3 version.

Package: python3-datalad
Source: datalad
Version: 0.14.7-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 5470
Depends: neurodebian-popularity-contest, git-annex (>= 7.20190503~) | git-annex-standalone (>= 7.20190503~), patool, p7zip-full, python3 (>= 3.6), python3-annexremote, python3-appdirs, python3-distro, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3 (>= 3.8) | python3-importlib-metadata, python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-mock, python3-msgpack, python3-pil, python3-requests (>= 1.2), python3-secretstorage, python3-simplejson, python3-six, python3-tqdm, python3-wrapt, python3-chardet, python3:any (>= 3.3.2-2~)
Recommends: python3-boto, python3-exif, python3-github, python3-html5lib, python3-httpretty, python3-jsmin, python3-libxmp, python3-lzma, python3-mutagen, python3-nose, 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_0.14.7-1~nd18.04+1_all.deb
Size: 1146852
SHA256: ff2f99bf4faba5cbb59fdd2a0061949a539c76063899990b2fa3f582368a588d
SHA1: 1cd077cec831ccdfde6115e2ec402788792eae61
MD5sum: 5abee2f45df35282b9d0ddfc9698a3cc
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-dcmstack
Source: dcmstack
Version: 0.8-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 504
Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3:any (>= 3.3.2-2~), libjs-sphinxdoc (>= 1.0)
Conflicts: python-dcmstack
Homepage: https://github.com/moloney/dcmstack
Priority: optional
Section: science
Filename: pool/main/d/dcmstack/python3-dcmstack_0.8-1~nd18.04+1_all.deb
Size: 75532
SHA256: 6e0e23821eaf00e78332cb097e5c276a4d032be3068abfd6893e9b8a1e017d46
SHA1: e78df5d2d4a519bb8f76e3d0b673ae5e05e0a4f4
MD5sum: 3457b650cc745636f821699d51adfe82
Description: DICOM to NIfTI conversion - python3 package
 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 Python3 package.

Package: python3-dicom
Source: pydicom
Version: 1.2.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 13
Depends: neurodebian-popularity-contest, python3-pydicom
Homepage: https://pydicom.github.io
Priority: optional
Section: oldlibs
Filename: pool/main/p/pydicom/python3-dicom_1.2.1-1~nd18.04+1_all.deb
Size: 4904
SHA256: 76809ba6969e5f95059bc2fa9fc1ee3cc97a9d6a42ed7db074384ba2c51ca876
SHA1: cf3365611e9873603f994d216b7ac378b554dd86
MD5sum: a45830603c52e65f94e4ab885c90371e
Description: transitional package for python3-pydicom
 This is a transitional package. It can safely be removed.

Package: python3-diskcache
Source: diskcache
Version: 4.0.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 209
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~)
Homepage: http://www.grantjenks.com/docs/diskcache/
Priority: optional
Section: python
Filename: pool/main/d/diskcache/python3-diskcache_4.0.0-1~nd18.04+1_all.deb
Size: 33652
SHA256: 43841b29c922720b384394300ec328b257e68a3fc2ee0fc21e21ef5a1528bc60
SHA1: 6c3d180a23395d92dc378235b177b3ca150cbe3b
MD5sum: 20ce3178ef732a9296352f64a6357cc0
Description: Python module for Disk and file backed persistent cache
 DiskCache is an Apache2 licensed disk and file backed cache library, written
 in pure-Python. Its features include
 .
   - Django compatible API
   - Thread-safe and process-safe
   - Supports multiple eviction policies (LRU and LFU included)
   - Keys support “tag” metadata and eviction

Package: python3-duecredit
Source: duecredit
Version: 0.8.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 256
Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any (>= 3.3.2-2~)
Homepage: https://github.com/duecredit/duecredit
Priority: optional
Section: python
Filename: pool/main/d/duecredit/python3-duecredit_0.8.0-1~nd18.04+1_all.deb
Size: 58660
SHA256: 6bf4c343fa487ca4884ea7ad0099ae471110f82192486413a59fae02925e44c6
SHA1: 5ab0229f84aa6d831329527a00003ebf2db65415
MD5sum: ce358b1d15f87b09a7888c01f18d72a6
Description: Publications (and donations) tracer
 duecredit is being conceived to address the problem of inadequate
 citation of scientific software and methods, and limited visibility of
 donation requests for open-source software.
 .
 It provides a simple framework (at the moment for Python only) to
 embed publication or other references in the original code so they are
 automatically collected and reported to the user at the necessary
 level of reference detail, i.e. only references for actually used
 functionality will be presented back if software provides multiple
 citeable implementations.
 .
 To get a sense of what duecredit is about, simply run
 or your analysis script with `-m duecredit`, e.g.
 .
     python3 -m duecredit examples/example_scipy.py
Python-Egg-Name: duecredit

Package: python3-exif
Source: python-exif
Version: 2.1.2-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 130
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~)
Homepage: https://github.com/ianare/exif-py
Priority: extra
Section: python
Filename: pool/main/p/python-exif/python3-exif_2.1.2-1~nd18.04+1_all.deb
Size: 27832
SHA256: f8473c8061ec37db7bde4c804ace1b7e23038d9d5c646717d9f57a13b4bc8146
SHA1: 172c0124ababbcdc38099521895391b8ca5ef0a6
MD5sum: b30728754a0fc1c9264f95aa7147a4f0
Description: Python library to extract Exif data from TIFF and JPEG files
 This is a Python library to extract Exif information from digital camera
 image files. It contains the EXIF.py script and the exifread library.
 .
 This package provides the Python 3.x module.

Package: python3-fasteners
Source: python-fasteners
Version: 0.14.1-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 80
Depends: neurodebian-popularity-contest, python3-monotonic, python3-six, python3:any (>= 3.3.2-2~)
Homepage: https://github.com/harlowja/fasteners
Priority: optional
Section: python
Filename: pool/main/p/python-fasteners/python3-fasteners_0.14.1-2~nd18.04+1_all.deb
Size: 15428
SHA256: 773ea24c974896a640b2e7330570ac3d6086e9be7d007f85784b671e9a9b8e9e
SHA1: 3bd0d79a3a606407a5464eb1aa84184c720a789d
MD5sum: 4916e2af9483029db3d424f8a2f0afb7
Description: provides useful locks - Python 3.x
 Fasteners is a Python package that provides useful locks. It includes locking
 decorator (that acquires instance objects lock(s), acquires on method entry
 and releases on method exit), reader-writer locks, inter-process locks and
 generic lock helpers.
 .
 This package contains the Python 3.x module.

Package: python3-filelock
Source: python-filelock
Version: 3.0.12-1+nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 36
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~)
Homepage: https://github.com/benediktschmitt/py-filelock
Priority: optional
Section: python
Filename: pool/main/p/python-filelock/python3-filelock_3.0.12-1+nd1~nd18.04+1_all.deb
Size: 8304
SHA256: 223f953b316851a8b19a9b0fa68a8452495f55bef0c4a23ba1580e4ab764bbef
SHA1: 5b396d62368ae6a5649ec305e9d03647eee3b568
MD5sum: 4bd3cc5990d720bc8c702b1e361efb10
Description: platform independent file locking module (Python 3)
 This package contains a single module, which implements a platform independent
 file locking mechanism for Python. The lock includes a lock counter and is
 thread safe. This means, when locking the same lock object twice, it will not
 block.
 .
 This package installs the Python 3 version.

Package: python3-fsl
Source: fslpy
Version: 1.2.2-2~nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 403
Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-deprecation, python3-indexed-gzip, python3-numpy, python3-wxgtk4.0, python3:any (>= 3.3.2-2~)
Priority: optional
Section: python
Filename: pool/main/f/fslpy/python3-fsl_1.2.2-2~nd17.10+1+nd18.04+1_all.deb
Size: 84304
SHA256: 95d890bf94a09fc1ac1e3f0abec4704ea5efaec82c2a5aeca14835d0b9db2afc
SHA1: a2d18cbd7f8b605aeb9cd831c56f349c1c2a6e25
MD5sum: 3eae59a019fbac0edf3f0124a0c5ea2f
Description: FSL Python library
 Support library for FSL.
 .
 This package provides the Python 3 module.

Package: python3-git
Source: python-git
Version: 3.0.5-1~nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 1678
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_3.0.5-1~nd1~nd18.04+1_all.deb
Size: 307728
SHA256: 9f7fb3c6a818edd713b61aff9366e21f94e124f146a79513a44003ce87b01423
SHA1: f090a49c84649602fcd7fe81df22b1a45626a584
MD5sum: 72e025c3eaac68c124e66b1a38db9b0d
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-gitdb
Source: python-gitdb
Version: 2.0.6-1~nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 216
Depends: neurodebian-popularity-contest, python3-smmap (>> 2), python3:any (>= 3.3.2-2~)
Homepage: https://github.com/gitpython-developers/gitdb
Priority: optional
Section: python
Filename: pool/main/p/python-gitdb/python3-gitdb_2.0.6-1~nd1~nd18.04+1_all.deb
Size: 47100
SHA256: 78993426a6f7b6ed91cd0dcbe45963ec97fa87b40f703fdda5611c33eea16b5d
SHA1: 83d9376bb112bd5f1a71b18f3181d1874c35edb4
MD5sum: cad78684df0ae64ed1e4f2c7b3cfce76
Description: pure-Python git object database (Python 3)
 The GitDB project implements interfaces to allow read and write access to
 git repositories. In its core lies the db package, which contains all
 database types necessary to read a complete git repository. These are
 the LooseObjectDB, the PackedDB and the ReferenceDB which are combined
 into the GitDB to combine every aspect of the git database.
 .
 This package contains the Python 3.x module.

Package: python3-github
Source: pygithub
Version: 1.43.7-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 916
Depends: neurodebian-popularity-contest, python3-jwt, python3-requests, 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_1.43.7-1~nd18.04+1_all.deb
Size: 64628
SHA256: 4d04b9e50f6056ff4fb59d4c4fed3d23d73f763d2a812f606039be3ccd7d801a
SHA1: 651c862e6767218540decea4365511c1faba3679
MD5sum: 5d2b7d0d1c2f9ea1d66dae7610489967
Description: Access the full Github API v3 from Python3
 This is a Python 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-hdmf
Source: hdmf
Version: 1.1.2-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 392
Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py, python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any (>= 3.3.2-2~), python3-certifi, python3-chardet, python3-idna, python3-urllib3
Homepage: https://github.com/hdmf-dev/hdmf
Priority: optional
Section: python
Filename: pool/main/h/hdmf/python3-hdmf_1.1.2-1~nd18.04+1_all.deb
Size: 63656
SHA256: 784e91ef0af02e8375b97e9c46efb995e91dfa310cb8b37a97ec6b496d5fcec1
SHA1: 901eb119bf84af278f114e5d56c4f15c2e93eb46
MD5sum: 3b3e8eb9851f679ff9b311893f809256
Description: Hierarchical Data Modeling Framework
 The Hierarchical Data Modeling Framework (HDMF) is a Python package
 for working with hierarchical data.  It provides APIs for specifying
 data models, reading and writing data to different storage backends,
 and representing data with Python object.

Package: python3-httpretty
Source: python-httpretty
Version: 0.9.5-6~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 96
Depends: neurodebian-popularity-contest, python3-six, python3-urllib3, python3:any (>= 3.3.2-2~)
Homepage: https://github.com/gabrielfalcao/httpretty
Priority: optional
Section: python
Filename: pool/main/p/python-httpretty/python3-httpretty_0.9.5-6~nd18.04+1_all.deb
Size: 20228
SHA256: b78a273f58f3edb35a14ae8a025932494469a8fa4ec115d59371cd9a81b5d045
SHA1: d151d7607e38b84bbe1ea68bb882afff6e366cc6
MD5sum: 5f99782724ebbf44a188e04a9b9e88cd
Description: HTTP client mock - Python 3.x
 Once upon a time a Python developer wanted to use a RESTful API, everything
 was fine but until the day he needed to test the code that hits the RESTful
 API: what if the API server is down? What if its content has changed ?
 .
 Don't worry, HTTPretty is here for you.
 .
 This package provides the Python 3.x module.

Package: python3-hypothesis
Source: python-hypothesis
Version: 3.44.1-1~bpo9+1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 610
Depends: neurodebian-popularity-contest, python3-attr, python3-coverage, python3:any (>= 3.3.2-2~)
Suggests: python-hypothesis-doc
Homepage: https://github.com/DRMacIver/hypothesis
Priority: optional
Section: python
Filename: pool/main/p/python-hypothesis/python3-hypothesis_3.44.1-1~bpo9+1~nd18.04+1_all.deb
Size: 120360
SHA256: 8483c480f0969af1f62f0c01476b3d0469371d0e5f2da39cc3c87526e288d6bf
SHA1: 4120650bbf83f92f51f5a42096b542a58700be37
MD5sum: f957686ef39d10f908828d48a71c3b4a
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-importlib-metadata
Source: python-importlib-metadata
Version: 1.6.0-2+nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 45
Depends: neurodebian-popularity-contest, python3-zipp, python3:any (>= 3.3.2-2~)
Homepage: https://gitlab.com/python-devs/importlib_metadata
Priority: optional
Section: python
Filename: pool/main/p/python-importlib-metadata/python3-importlib-metadata_1.6.0-2+nd1~nd18.04+1_all.deb
Size: 10584
SHA256: bc0f83397f55ba9f1989ab26b286fd6e5229178296e3ab7468921f28a7aaadb2
SHA1: 79fb635d9a380c0a6a886f57065f0f1ae4c5698d
MD5sum: 25fda9f65b6c4e3db8c71d2240d4da9f
Description: library to access the metadata for a Python package - Python 3.x
 Provides an API for accessing an installed package’s metadata, such as its
 entry points or its top-level name. This functionality intends to replace
 most uses of pkg_resources entry point API and metadata API.
 .
 This package contains Python 3.x module.

Package: python3-joblib
Source: joblib
Version: 0.13.2-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 870
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), procps
Recommends: python3-numpy, python3-pytest, python3-simplejson, python3-psutil
Homepage: http://packages.python.org/joblib/
Priority: optional
Section: python
Filename: pool/main/j/joblib/python3-joblib_0.13.2-1~nd18.04+1_all.deb
Size: 189368
SHA256: 1fd7d7373865e97e53f5966c5c764d66f13339e7c7c931fac7a5fb06cee83da0
SHA1: 6c62bafff8e95330a090c766636523e1ed4f1c5a
MD5sum: 942a38bdaf0982b7938ec9b679987dc4
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-jsonschema
Source: python-jsonschema
Version: 3.0.2-4~nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 252
Depends: neurodebian-popularity-contest, python3-attr, python3-pkg-resources, python3-setuptools, python3-six (>= 1.11.0), python3-pyrsistent, python3:any (>= 3.3.2-2~)
Suggests: python-jsonschema-doc
Homepage: https://github.com/Julian/jsonschema
Priority: optional
Section: python
Filename: pool/main/p/python-jsonschema/python3-jsonschema_3.0.2-4~nd1~nd18.04+1_all.deb
Size: 43248
SHA256: bb240e8ec90085e1c7cee44910fbdedb3e2a1e28f71f5b5bf10a8845ddacaf55
SHA1: 9dc8622c9fe7f9f401660f4a6bbff5d85d3c0680
MD5sum: d30a0ca5056a0bc78d2f65c6214678cf
Description: An(other) implementation of JSON Schema (Draft 3 and 4) - Python 3.x
 JSON Schema is a specification for a JSON-based format for defining
 the structure of JSON data. JSON Schema provides a contract for what
 JSON data is required for a given application and how it can be
 modified, much like what XML Schema provides for XML. JSON Schema is
 intended to provide validation, documentation, and interaction control
 of JSON data.
 .
 This package contains the Python 3.x module.

Package: python3-libxmp
Source: python-xmp-toolkit
Version: 2.0.1+git20140309.5437b0a-4~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 145
Depends: neurodebian-popularity-contest, libexempi3, python3-tz, python3:any (>= 3.3.2-2~)
Suggests: python-libxmp-doc
Homepage: http://python-xmp-toolkit.readthedocs.org/
Priority: optional
Section: python
Filename: pool/main/p/python-xmp-toolkit/python3-libxmp_2.0.1+git20140309.5437b0a-4~nd18.04+1_all.deb
Size: 23480
SHA256: 470301d9e17950b473864ca92376c79cbbf33b13e30964696087c838666e6b2a
SHA1: 4fc2129798bcfd362848d68735e4070eb9691a98
MD5sum: a3b6a28dab3c32495fcd43036b49a5ad
Description: Python3 library for XMP metadata
 Python XMP Toolkit is a library for working with XMP metadata, as well as
 reading/writing XMP metadata stored in many different file formats.
 .
 XMP (Extensible Metadata Platform) facilitates embedding metadata in files
 using a subset of RDF. Most notably XMP supports embedding metadata in PDF and
 many image formats, though it is designed to support nearly any file type.
 .
 This package provides Python3 bindings.

Package: python3-neo
Source: neo
Version: 0.7.2-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 3490
Depends: neurodebian-popularity-contest, python3-numpy, python3-quantities, python3:any (>= 3.3.2-2~)
Recommends: python3-scipy (>= 0.8~), python3-tables (>= 2.2~), libjs-jquery, libjs-underscore
Suggests: python3-nose
Homepage: http://neuralensemble.org/trac/neo
Priority: optional
Section: python
Filename: pool/main/n/neo/python3-neo_0.7.2-1~nd18.04+1_all.deb
Size: 1309292
SHA256: 0630876053cd04d378983db69c0c104042b4d6ed94c73533107b12bbcf9e8f1e
SHA1: 3819917edfa590bd05dee83669c4c9b72775e9e8
MD5sum: 56a9a8957ebf33df4c697c483dbe7323
Description: Python IO library for electrophysiological data formats
 NEO stands for Neural Ensemble Objects and is a project to provide common
 classes and concepts for dealing with electro-physiological (in vivo
 and/or simulated) data to facilitate collaborative software/algorithm
 development. In particular Neo provides: a set a classes for data
 representation with precise definitions, an IO module with a simple API,
 documentation, and a set of examples.
 .
 NEO offers support for reading data from numerous proprietary file formats
 (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for
 various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well
 as support common file formats, such as HDF5 with Neo-structured content
 (NeoHDF5, NeoMatlab).
 .
 Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare
 replacement.

Package: python3-nibabel
Source: nibabel
Version: 2.5.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 65824
Depends: neurodebian-popularity-contest, python3-numpy (>= 1.2), python3-six (>= 1.3), python3:any (>= 3.3.2-2~), python3-scipy
Recommends: python3-dicom, python3-fuse
Suggests: python-nibabel-doc, python3-mock
Homepage: http://nipy.sourceforge.net/nibabel
Priority: extra
Section: python
Filename: pool/main/n/nibabel/python3-nibabel_2.5.1-1~nd18.04+1_all.deb
Size: 2646492
SHA256: 85fb4e4af68e3a7505a8b69fcf265db64ea026b5decc93f36e469565126f4700
SHA1: ff83950b9fb68dcadf460e8307a3c450c05435cb
MD5sum: 75b45a75df19815215d76c2a338db0f3
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-nitime
Source: nitime
Version: 0.8.1-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 9380
Depends: neurodebian-popularity-contest, cython3, python3-matplotlib, python3-networkx, python3-nibabel, python3-numpy, python3-scipy, python3:any (>= 3.3.2-2~)
Recommends: python3-nose
Homepage: https://nipy.org/nitime
Priority: optional
Section: python
Filename: pool/main/n/nitime/python3-nitime_0.8.1-2~nd18.04+1_all.deb
Size: 2539396
SHA256: 9e4da69650dee131c5e838606db9f885d0579eade392c0facd2730c809526e00
SHA1: f6f8370fa09abbec141143237a9bf3e7123818e6
MD5sum: ea17c6763a616856d4c9a904db6cda55
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: python3-pandas
Source: pandas
Version: 0.23.3-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 12450
Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.23.3-1~nd18.04+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: https://pandas.pydata.org/
Priority: optional
Section: python
Filename: pool/main/p/pandas/python3-pandas_0.23.3-1~nd18.04+1_all.deb
Size: 1743280
SHA256: 70ae0e91c6a422281c2d7a1688bfe73d8634fa423c5300b5afe84ee4625a6397
SHA1: 0dba4911012c5e4bdd229a88904fbad8c10492c4
MD5sum: 4ae88fae1397a00675baaa297c6f78fb
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: 0.5.0+git13-g54dcf7b-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 779
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_0.5.0+git13-g54dcf7b-1~nd18.04+1_all.deb
Size: 168412
SHA256: 82234dc094bd4ef8eaf4369b9442d29b18697e9fac8d88fda8e5cce95a44ef5c
SHA1: 31806f281b4c7bb04c5cbc377709640166b27d47
MD5sum: 610eab0fd127c02273d2f7758d298054
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-pydicom
Source: pydicom
Version: 1.2.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 14179
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~)
Recommends: python3-numpy, python3-pil
Suggests: python3-matplotlib, python3-gdcm
Breaks: python3-dicom (<< 1~)
Replaces: python3-dicom (<< 1~)
Provides: python3-dicom
Homepage: https://pydicom.github.io
Priority: optional
Section: python
Filename: pool/main/p/pydicom/python3-pydicom_1.2.1-1~nd18.04+1_all.deb
Size: 4396728
SHA256: 8fb4a6fe72f83f2568ef06c2f69bfd975a16aa98bf2409c88e3eb0ca6dcedd06
SHA1: 8901ca70e7f7437d9a260e9ffe2e8d67fa48099b
MD5sum: 247b967c1d58cb70a812a3e16745df5a
Description: DICOM medical file reading and writing (Python 3)
 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.
 .
 This package installs the module for Python 3.

Package: python3-pydot
Source: pydot
Version: 1.2.3-1.1~nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 88
Depends: neurodebian-popularity-contest, python3-pyparsing (>= 2.0.1+dfsg1-1), python3:any (>= 3.3.2-2~), graphviz
Homepage: https://github.com/erocarrera/pydot
Priority: optional
Section: python
Filename: pool/main/p/pydot/python3-pydot_1.2.3-1.1~nd17.10+1+nd18.04+1_all.deb
Size: 20008
SHA256: 41f4ca06d766dc94272217a3b5417db93a060b2c6164512af010f283ee97e6c1
SHA1: 066fd17c8ac2e53eaea3a917f229654a0a4d7a15
MD5sum: 45e40d63dca62c0694420a038d81522b
Description: Python interface to Graphviz's dot (Python 3)
 pydot allows one to easily create both directed and non directed graphs from
 Python. Currently all attributes implemented in the Dot language are supported.
 .
 Output can be inlined in Postscript into interactive scientific environments
 like TeXmacs, or output in any of the format's supported by the Graphviz tools
 dot, neato, twopi.
 .
 This package contains pydot for Python 3.

Package: python3-pyfakefs
Source: python-pyfakefs
Version: 4.3.3-1+nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 991
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~)
Homepage: http://pyfakefs.org/
Priority: optional
Section: python
Filename: pool/main/p/python-pyfakefs/python3-pyfakefs_4.3.3-1+nd1~nd18.04+1_all.deb
Size: 130292
SHA256: 11dbb4b8d6bf08ad1ff02f9d2643b4c7379a50a6ef1a3252e7332fa14abed629
SHA1: ab50b9cf607d7e27b6cf9a20ca36e5f204931d83
MD5sum: cbc124801a634b44516381d2c2963837
Description: fake fs that mocks the Python file system modules - Python 3
 pyfakefs implements a fake file system that mocks the Python file system
 modules. Using pyfakefs, your tests operate on a fake file system in memory
 without touching the real disk. The software under test requires no
 modification to work with pyfakefs.
 .
 This package contains the Python 3.x module.

Package: python3-pynwb
Source: pynwb
Version: 0.5.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 687
Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py (>= 2.7.1), python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any (>= 3.3.2-2~)
Homepage: https://github.com/NeurodataWithoutBorders/pynwb
Priority: optional
Section: python
Filename: pool/main/p/pynwb/python3-pynwb_0.5.1-1~nd18.04+1_all.deb
Size: 98164
SHA256: f612651e9723beb1a54208a033319cb3c4fe68725262b35c885917ee5d3edbbb
SHA1: 2319c3d71cd8df7a2bbc4167efb5a17aedd78b45
MD5sum: e27b2e9778290c716aad3cf9be977ea8
Description: Python library for working with Neurodata in the NWB format
 PyNWB is a Python package for working with NWB files. It provides a
 high-level API for efficiently working with Neurodata stored in the
 NWB format.
 .
 Neurodata Without Borders: Neurophysiology (NWB:N) is a project to
 develop a unified data format for cellular-based neurophysiology
 data, focused on the dynamics of groups of neurons measured under a
 large range of experimental conditions.

Package: python3-pyperclip
Source: python-pyperclip
Version: 1.6.0-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 42
Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), xclip | xsel | python3-gi | python3-pyqt4
Homepage: https://github.com/asweigart/pyperclip
Priority: optional
Section: python
Filename: pool/main/p/python-pyperclip/python3-pyperclip_1.6.0-2~nd18.04+1_all.deb
Size: 9624
SHA256: dbb4e17d7cc1047cff9a6d699f629cac709a491bdbe2a129e3cfe37c2be9fc34
SHA1: 9706c13d57ad0cfa3357062a7a72aa6b8422bbc9
MD5sum: c75563d873d66a10f3a2f823d87bb26f
Description: Cross-platform clipboard module for Python3
 This module is a cross-platform Python3 module for copy and paste clipboard
 functions.
 .
 It currently only handles plaintext.
 .
 This is the Python 3 version of the package.

Package: python3-pyxid
Source: pyxid
Version: 1.0-4~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 50
Depends: neurodebian-popularity-contest, python3-serial, python3:any (>= 3.3.2-2~), python3
Homepage: https://github.com/cedrus-opensource/pyxid
Priority: optional
Section: python
Filename: pool/main/p/pyxid/python3-pyxid_1.0-4~nd18.04+1_all.deb
Size: 10992
SHA256: a4c8f4379de046c3f569ebe51cca3abe1357a13036274e6f64e1798d77369f2e
SHA1: c3452c2aef77ac56f802fc7fd43c133f7223d557
MD5sum: ebb22c9f512f41713f9b00bf05ce2875
Description: interface for Cedrus XID and StimTracker devices
 pyxid is a Python library for interfacing with Cedrus XID (eXperiment
 Interface Device) and StimTracker devices. XID devices are used in
 software such as SuperLab, Presentation, and ePrime for receiving
 input as part of stimulus/response testing experiments.
 .
 pyxid handles all of the low level device handling for XID devices in
 Python projects.

Package: python3-quantities
Source: python-quantities
Version: 0.12.3-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 351
Depends: neurodebian-popularity-contest, python3-numpy, python3:any (>= 3.3.2-2~)
Suggests: python3-unittest2
Homepage: http://packages.python.org/quantities/
Priority: optional
Section: python
Filename: pool/main/p/python-quantities/python3-quantities_0.12.3-1~nd18.04+1_all.deb
Size: 55240
SHA256: 7b660b08c7ec10f71b858545401972b4a300603e33c1bc4a72a45ff7923fde4d
SHA1: 8700cb76f84df282a733106a8368cb679b4bce64
MD5sum: 5ee48a02693633338868b9762e560c42
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: python3-requests
Source: requests
Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 240
Depends: neurodebian-popularity-contest, python3-urllib3 (>= 1.12), python3:any (>= 3.3.2-2~), ca-certificates, python3-chardet
Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1
Homepage: http://python-requests.org
Priority: optional
Section: python
Filename: pool/main/r/requests/python3-requests_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb
Size: 68096
SHA256: 294ae65338c8ed82338ad1634a1144f89129762c124744dc2977382cfeb036c4
SHA1: e4119f62c9c97e7a16db21879c881f349261a1a2
MD5sum: 89ca22e1cd036102bac29575c7c5cc8a
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-skimage
Source: skimage
Version: 0.14.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 26053
Depends: neurodebian-popularity-contest, python3-matplotlib, python3-networkx, python3-numpy, python3-pil, python3-scipy, python3-six (>= 1.10.0), python3-skimage-lib (>= 0.14.0-1~nd18.04+1), python3-cloudpickle, python3-pywt, python3:any (>= 3.3.2-2~)
Recommends: python3-pytest, python3-dask
Suggests: python-skimage-doc
Homepage: http://scikit-image.org
Priority: optional
Section: python
Filename: pool/main/s/skimage/python3-skimage_0.14.0-1~nd18.04+1_all.deb
Size: 19903844
SHA256: 4508b078b875aa138fd329c28cb513793e411df268fb51d49c5696433a55f4ce
SHA1: 76db0817158359758e9b038f83d8af6fa41dc94f
MD5sum: ec9253f15b08a3a6e46e1cfd3b7c1b6b
Description: Python 3 modules for image processing
 scikit-image is a collection of image processing algorithms for
 Python.  It performs tasks such as image loading, filtering,
 morphology, segmentation, color conversions, and transformations.
 .
 This package provides the Python 3 module.

Package: python3-sklearn
Source: scikit-learn
Version: 0.20.0+dfsg-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 7539
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.20.0+dfsg-2~nd18.04+1), python3-joblib (>= 0.9.2)
Recommends: python3-nose, python3-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_0.20.0+dfsg-2~nd18.04+1_all.deb
Size: 1517464
SHA256: 62578f769485fd99e9dd08863fb5c6eb336d0ddc98d3518cb836238c04d4a261
SHA1: 5e893a9dee32cdfe348b5eac185cb8633d818a6f
MD5sum: 87fc62b92b92e7a70096642e6a14b612
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-sphinx-gallery
Source: sphinx-gallery
Version: 0.2.0-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 217
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-matplotlib, python3-pil, python3-sphinx
Suggests: python-sphinx-gallery-doc, python3-seaborn
Homepage: https://sphinx-gallery.github.io/
Priority: optional
Section: python
Filename: pool/main/s/sphinx-gallery/python3-sphinx-gallery_0.2.0-1~nd18.04+1_all.deb
Size: 71960
SHA256: feb786342f3e479c2184f7e628e2d0c4ee07c785394e20f08511d7883510706c
SHA1: 4182e67ceabd0173bd72efb60d9c23881be7bc8b
MD5sum: a37099ba5668d6a9ffb6d67cf42e004a
Description: extension that builds an HTML gallery of examples from Python scripts (Python 3)
 * Simple examples that run out of the box are the best way to learn a library
 * Pleasing, organized, visual layouts
 * Links, searching, backlinks throughout examples and documentation
 .
 This package contains the Python 3 version of sphinx-gallery.

Package: python3-sphinxcontrib.apidoc
Source: python-sphinxcontrib.apidoc
Version: 0.2.1-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 39
Depends: neurodebian-popularity-contest, python3-pbr, python3-sphinx, python3:any (>= 3.3.2-2~)
Homepage: https://github.com/sphinx-contrib/apidoc
Priority: optional
Section: python
Filename: pool/main/p/python-sphinxcontrib.apidoc/python3-sphinxcontrib.apidoc_0.2.1-2~nd18.04+1_all.deb
Size: 7476
SHA256: e35050173722df68b164425a411f84ad6543a6e72a53f366b1ad53abf06a4bd4
SHA1: cf072a9640ed013e53204f9ced489fbf465834b3
MD5sum: c1e0c9920eecdc5b473fe3f58b5d4d4d
Description: Sphinx extension for running 'sphinx-apidoc' on each build - Python 3.x
 sphinx-apidoc is a tool for automatic generation of Sphinx sources that, using
 the autodoc sphinx_autodoc extension, documents a whole package in the style
 of other automatic API documentation tools. sphinx-apidoc does not actually
 build documentation - rather it simply generates it. As a result, it must be
 run before sphinx-build.
 .
 This package contains the Python 3.x module.

Package: python3-sympy
Source: sympy
Version: 1.3-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 26373
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-mpmath
Recommends: python3-pil, ipython3, python3-numpy
Suggests: texlive-fonts-extra, dvipng, python-sympy-doc
Enhances: isympy3
Homepage: http://sympy.org/
Priority: optional
Section: python
Filename: pool/main/s/sympy/python3-sympy_1.3-1~nd18.04+1_all.deb
Size: 3499860
SHA256: 53cb14c2b1c4c1c9d6fbbba3fbc6264a8e87e2be45b3123d418614d89710a1c6
SHA1: 9ee3c3940df9a2dd9aa8aa853cc8346afcdd550b
MD5sum: 278de7715c7f0137bf7e5615cea211e1
Description: Computer Algebra System (CAS) in Python (Python3)
 SymPy is a Python library for symbolic mathematics (manipulation). It aims to
 become a full-featured computer algebra system (CAS) while keeping the code as
 simple as possible in order to be comprehensible and easily extensible. SymPy
 is written entirely in Python and does not require any external libraries,
 except optionally for plotting support.
 .
 This package contains the Python 3 version of sympy.

Package: python3-urllib3
Source: python-urllib3
Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 254
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-six
Recommends: ca-certificates
Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1
Homepage: http://urllib3.readthedocs.org
Priority: optional
Section: python
Filename: pool/main/p/python-urllib3/python3-urllib3_1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb
Size: 65652
SHA256: 2f09fcb63c34fe4fefab358337681b21f4a9370fa8dcb95b0b6af97327eaaba7
SHA1: 7902c9e8853b1d0d853496b318e8a07c2d54fe79
MD5sum: 45fb1be596dafa3b069af7cebd2df35f
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-xlwt
Source: xlwt
Version: 1.3.0-2~nd0~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 445
Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~)
Suggests: python3-xlrd, python-xlrt-doc
Homepage: https://pypi.python.org/pypi/xlwt
Priority: optional
Section: python
Filename: pool/main/x/xlwt/python3-xlwt_1.3.0-2~nd0~nd18.04+1_all.deb
Size: 83968
SHA256: 6d0022cfbde172d085b49b28144d97d9bb1536d00b3f36d2de16a669d49435f0
SHA1: da74706e07d2d85bf7218d34788b11d7d9710a10
MD5sum: ae10770e07bc32bca6ed431a1c02a884
Description: module for writing Microsoft Excel spreadsheet files - Python 3.x
 This package provides a pure Python module for writing spreadsheet files
 readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel
 spreadsheets can be generated on any platform without needing Excel or a COM
 server.
 .
 Xlwt is a fork of the unmaintained pyExcelerator module with several
 bugfixes and enhancements. For the functionality previously provided by the
 parse_xls function, see the python-xlrd package.
 .
 This package provides the Python 3.x module.

Package: python3-zipp
Source: python-zipp
Version: 1.0.0-3+nd1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 26
Depends: neurodebian-popularity-contest, python3-more-itertools, python3:any (>= 3.3.2-2~)
Homepage: https://github.com/jaraco/zipp
Priority: optional
Section: python
Filename: pool/main/p/python-zipp/python3-zipp_1.0.0-3+nd1~nd18.04+1_all.deb
Size: 6332
SHA256: 53c80a2691a5273fa07841115f4eea5fa39a9f4f41affc845a74b4456cf607aa
SHA1: 3f93de05e1bd352922fd8908c25e951e51bc2725
MD5sum: 0aa18cacc5100aedeb03d5dd0c73355b
Description: pathlib-compatible Zipfile object wrapper - Python 3.x
 A backport of the Path object to older versions of Python.
 It's pathlib-compatible interface for zip files using zipfile object inside.
 .
 This package contains Python 3.x module.

Package: reprozip
Version: 1.0.14-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 14
Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-reprozip
Multi-Arch: foreign
Homepage: https://www.reprozip.org
Priority: optional
Section: utils
Filename: pool/main/r/reprozip/reprozip_1.0.14-1~nd18.04+1_all.deb
Size: 3640
SHA256: 33f8657ad4be0be129ec7be7db007bdaab9312625b805e19452e43e6cdf15a36
SHA1: e10ca304374f2e6adadc2d0192250d15d13fb97a
MD5sum: 0b8aa86e68b8ce07042ba89843ee6bc6
Description: tool for reproducing scientific experiments (packer)
 ReproZip is a tool aimed at simplifying the process of creating
 reproducible experiments from command-line executions, a frequently-used
 common denominator in computational science.
 .
 It tracks operating system calls and creates a package that contains
 all the binaries, files and dependencies required to run a given
 command on the author’s computational environment (packing step). A
 reviewer can then extract the experiment in his environment to
 reproduce the results (unpacking step).
 .
 This package provides the ReproZip packer.

Package: ruby-asciidoctor
Source: asciidoctor
Version: 1.5.7.1-1~nd~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 817
Depends: neurodebian-popularity-contest, ruby | ruby-interpreter
Breaks: asciidoctor (<< 1.5.6.2-1)
Replaces: asciidoctor (<< 1.5.6.2-1)
Homepage: http://asciidoctor.org
Priority: optional
Section: ruby
Filename: pool/main/a/asciidoctor/ruby-asciidoctor_1.5.7.1-1~nd~nd18.04+1_all.deb
Size: 183652
SHA256: 1bd60cf37c603d692317b3795a8d1d9554a325b7b68f77ac88a0f9dc1d557d09
SHA1: 4ff52a84a8161595393378756b12f27b02b74e23
MD5sum: 861e21d8cd6d63083ac44df52ffcf992
Description: AsciiDoc to HTML rendering for Ruby (core libraries)
 Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and
 strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats.
 .
 This package contains the library files used by the asciidoctor package.
Ruby-Versions: all

Package: s3cmd
Version: 2.1.0-2~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 491
Depends: neurodebian-popularity-contest, python3-dateutil, python3-magic, python3:any (>= 3.3.2-2~)
Homepage: https://s3tools.org/s3cmd
Priority: optional
Section: utils
Filename: pool/main/s/s3cmd/s3cmd_2.1.0-2~nd18.04+1_all.deb
Size: 115768
SHA256: 9a5c26814fae108a4e379bf3e291a179eb6b0fc8f7f5e42fe29180e7befe923b
SHA1: 63c4637f262ea33a8de25f774d1bdc10a7743170
MD5sum: da6b1407a4db87b05bd5e9752f34569a
Description: command-line Amazon S3 client
 Command-line tool to upload, retrieve and manage data in Amazon S3 service
 (http://www.amazon.com/s3/), designed for use in scripts. Features:
  - creating and destroying S3 buckets
  - uploading and downloading files
  - listing remote files
  - removing remote files
  - synchronizing local directories to S3 buckets
  - getting various information about buckets and disk usage
 .
 s3cmd supports both (US and EU) S3 datacentres.

Package: svgtune
Version: 0.3.1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 27
Depends: neurodebian-popularity-contest, python3, python3-lxml
Suggests: inkscape
Homepage: http://github.com/yarikoptic/svgtune
Priority: optional
Section: graphics
Filename: pool/main/s/svgtune/svgtune_0.3.1-1~nd18.04+1_all.deb
Size: 7580
SHA256: 00fc3afa02badfb696a80435c0acc65186263c18f730ceae783aa71df32bd62e
SHA1: e2f6159cfe75f7211fc63ebfe4aaf76c0581443f
MD5sum: 03ade391253c7a9e87059f1ebad94f0e
Description: tool to generate a set of .svg files out of a single .svg file
 svgtune is 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: vowpal-wabbit-doc
Source: vowpal-wabbit
Version: 8.6.1.dfsg1-1~nd18.04+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
Installed-Size: 26318
Depends: neurodebian-popularity-contest
Recommends: vowpal-wabbit
Homepage: http://hunch.net/~vw/
Priority: optional
Section: doc
Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-doc_8.6.1.dfsg1-1~nd18.04+1_all.deb
Size: 18693472
SHA256: 3924e0119fdad74b1b824f02e0fc6164d441ceccdace719147b230e040094c9e
SHA1: f07e3653b997fcc203628a6cc5de088e49b02a45
MD5sum: 5ab092b1a3bbcbf35a22251fb68aefa2
Description: fast and scalable online machine learning algorithm - documentation
 Vowpal Wabbit is a fast online machine learning algorithm. The core
 algorithm is specialist gradient descent (GD) on a loss function
 (several are available). VW features:
  - flexible input data specification
  - speedy learning
  - scalability (bounded memory footprint, suitable for distributed
    computation)
  - feature pairing
 .
 This package contains examples (tests) for vowpal-wabbit.

Package: youtube-dl
Version: 2021.12.17-1~nd110+1
Architecture: all
Maintainer: NeuroDebian Maintainers <team@neuro.debian.net>
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,
 GiantBomb,
 Giga,
 GlattvisionTV,
 Glide,
 Globo,
 GloboArticle,
 Go,
 GodTube,
 Golem,
 google:podcasts,
 google:podcasts:feed,
 GoogleDrive,
 Goshgay,
 GPUTechConf,
 Groupon,
 hbo,
 HearThisAt,
 Heise,
 HellPorno,
 Helsinki,
 HentaiStigma,
 hetklokhuis,
 hgtv.com:show,
 HiDive,
 HistoricFilms,
 history:player,
 history:topic,
 hitbox,
 hitbox:live,
 HitRecord,
 hketv,
 HornBunny,
 HotNewHipHop,
 hotstar,
 hotstar:playlist,
 Howcast,
 HowStuffWorks,
 HRTi,
 HRTiPlaylist,
 Huajiao,
 HuffPost,
 Hungama,
 HungamaSong,
 Hypem,
 ign.com,
 IGNArticle,
 IGNVideo,
 IHeartRadio,
 iheartradio:podcast,
 imdb,
 imdb:list,
 Imgur,
 imgur:album,
 imgur:gallery,
 Ina,
 Inc,
 IndavideoEmbed,
 InfoQ,
 Instagram,
 instagram:tag,
 instagram:user,
 Internazionale,
 InternetVideoArchive,
 IPrima,
 iqiyi,
 Ir90Tv,
 ITTF,
 ITV,
 ITVBTCC,
 ivi,
 ivi:compilation,
 ivideon,
 Iwara,
 Izlesene,
 Jamendo,
 JamendoAlbum,
 JeuxVideo,
 Joj,
 Jove,
 JWPlatform,
 Kakao,
 Kaltura,
 Kankan,
 Karaoketv,
 KarriereVideos,
 Katsomo,
 KeezMovies,
 Ketnet,
 khanacademy,
 khanacademy:unit,
 KickStarter,
 KinjaEmbed,
 KinoPoisk,
 KonserthusetPlay,
 KrasView,
 Ku6,
 KUSI,
 kuwo:album,
 kuwo:category,
 kuwo:chart,
 kuwo:mv,
 kuwo:singer,
 kuwo:song,
 la7.it,
 laola1tv,
 laola1tv:embed,
 lbry,
 lbry:channel,
 LCI,
 Lcp,
 LcpPlay,
 Le,
 Lecture2Go,
 Lecturio,
 LecturioCourse,
 LecturioDeCourse,
 LEGO,
 Lemonde,
 Lenta,
 LePlaylist,
 LetvCloud,
 Libsyn,
 life,
 life:embed,
 limelight,
 limelight:channel,
 limelight:channel_list,
 LineTV,
 linkedin:learning,
 linkedin:learning:course,
 LinuxAcademy,
 LiTV,
 LiveJournal,
 LiveLeak,
 LiveLeakEmbed,
 livestream,
 livestream:original,
 livestream:shortener,
 LnkGo,
 loc,
 LocalNews8,
 LoveHomePorn,
 lrt.lt,
 lynda,
 lynda:course,
 m6,
 mailru,
 mailru:music,
 mailru:music:search,
 MallTV,
 mangomolo:live,
 mangomolo:video,
 ManyVids,
 Markiza,
 MarkizaPage,
 massengeschmack.tv,
 MatchTV,
 MDR,
 MedalTV,
 media.ccc.de,
 media.ccc.de:lists,
 Medialaan,
 Mediaset,
 Mediasite,
 MediasiteCatalog,
 MediasiteNamedCatalog,
 Medici,
 megaphone.fm,
 Meipai,
 MelonVOD,
 META,
 metacafe,
 Metacritic,
 mewatch,
 Mgoon,
 MGTV,
 MiaoPai,
 minds,
 minds:channel,
 minds:group,
 MinistryGrid,
 Minoto,
 miomio.tv,
 MiTele,
 mixcloud,
 mixcloud:playlist,
 mixcloud:user,
 MLB,
 Mms,
 Mnet,
 MNetTV,
 MoeVideo,
 Mofosex,
 MofosexEmbed,
 Mojvideo,
 Morningstar,
 Motherless,
 MotherlessGroup,
 Motorsport,
 MovieClips,
 MovieFap,
 Moviezine,
 MovingImage,
 MSN,
 mtg,
 mtv,
 mtv.de,
 mtv:video,
 mtvjapan,
 mtvservices:embedded,
 MTVUutisetArticle,
 MuenchenTV,
 mva,
 mva:course,
 Mwave,
 MwaveMeetGreet,
 MyChannels,
 MySpace,
 MySpace:album,
 MySpass,
 Myvi,
 MyVidster,
 MyviEmbed,
 MyVisionTV,
 n-tv.de,
 natgeo:video,
 NationalGeographicTV,
 Naver,
 NBA,
 nba:watch,
 nba:watch:collection,
 NBAChannel,
 NBAEmbed,
 NBAWatchEmbed,
 NBC,
 NBCNews,
 nbcolympics,
 nbcolympics:stream,
 NBCSports,
 NBCSportsStream,
 NBCSportsVPlayer,
 ndr,
 ndr:embed,
 ndr:embed:base,
 NDTV,
 NerdCubedFeed,
 netease:album,
 netease:djradio,
 netease:mv,
 netease:playlist,
 netease:program,
 netease:singer,
 netease:song,
 NetPlus,
 Netzkino,
 Newgrounds,
 NewgroundsPlaylist,
 Newstube,
 NextMedia,
 NextMediaActionNews,
 NextTV,
 Nexx,
 NexxEmbed,
 nfl.com (CURRENTLY BROKEN),
 nfl.com:article (CURRENTLY BROKEN),
 NhkVod,
 NhkVodProgram,
 nhl.com,
 nick.com,
 nick.de,
 nickelodeon:br,
 nickelodeonru,
 nicknight,
 niconico,
 NiconicoPlaylist,
 Nintendo,
 njoy,
 njoy:embed,
 NJPWWorld,
 NobelPrize,
 NonkTube,
 Noovo,
 Normalboots,
 NosVideo,
 Nova,
 NovaEmbed,
 nowness,
 nowness:playlist,
 nowness:series,
 Noz,
 npo,
 npo.nl:live,
 npo.nl:radio,
 npo.nl:radio:fragment,
 Npr,
 NRK,
 NRKPlaylist,
 NRKRadioPodkast,
 NRKSkole,
 NRKTV,
 NRKTVDirekte,
 NRKTVEpisode,
 NRKTVEpisodes,
 NRKTVSeason,
 NRKTVSeries,
 NRLTV,
 ntv.ru,
 Nuvid,
 NYTimes,
 NYTimesArticle,
 NYTimesCooking,
 NZZ,
 ocw.mit.edu,
 OdaTV,
 Odnoklassniki,
 OktoberfestTV,
 OnDemandKorea,
 onet.pl,
 onet.tv,
 onet.tv:channel,
 OnetMVP,
 OnionStudios,
 Ooyala,
 OoyalaExternal,
 OraTV,
 orf:burgenland,
 orf:fm4,
 orf:fm4:story,
 orf:iptv,
 orf:kaernten,
 orf:noe,
 orf:oberoesterreich,
 orf:oe1,
 orf:oe3,
 orf:salzburg,
 orf:steiermark,
 orf:tirol,
 orf:tvthek,
 orf:vorarlberg,
 orf:wien,
 OsnatelTV,
 OutsideTV,
 PacktPub,
 PacktPubCourse,
 pandora.tv,
 ParamountNetwork,
 parliamentlive.tv,
 Patreon,
 pbs,
 PearVideo,
 PeerTube,
 People,
 PerformGroup,
 periscope,
 periscope:user,
 PhilharmonieDeParis,
 phoenix.de,
 Photobucket,
 Picarto,
 PicartoVod,
 Piksel,
 Pinkbike,
 Pinterest,
 PinterestCollection,
 Pladform,
 Platzi,
 PlatziCourse,
 play.fm,
 player.sky.it,
 PlayPlusTV,
 PlaysTV,
 Playtvak,
 Playvid,
 Playwire,
 pluralsight,
 pluralsight:course,
 podomatic,
 Pokemon,
 PolskieRadio,
 PolskieRadioCategory,
 Popcorntimes,
 PopcornTV,
 PornCom,
 PornerBros,
 PornHd,
 PornHub,
 PornHubPagedVideoList,
 PornHubUser,
 PornHubUserVideosUpload,
 Pornotube,
 PornoVoisines,
 PornoXO,
 PornTube,
 PressTV,
 prosiebensat1,
 puhutv,
 puhutv:serie,
 Puls4,
 Pyvideo,
 qqmusic,
 qqmusic:album,
 qqmusic:playlist,
 qqmusic:singer,
 qqmusic:toplist,
 QuantumTV,
 Qub,
 Quickline,
 QuicklineLive,
 R7,
 R7Article,
 radio.de,
 radiobremen,
 radiocanada,
 radiocanada:audiovideo,
 radiofrance,
 RadioJavan,
 Rai,
 RaiPlay,
 RaiPlayLive,
 RaiPlayPlaylist,
 RayWenderlich,
 RayWenderlichCourse,
 RBMARadio,
 RDS,
 RedBull,
 RedBullEmbed,
 RedBullTV,
 RedBullTVRrnContent,
 Reddit,
 RedditR,
 RedTube,
 RegioTV,
 RENTV,
 RENTVArticle,
 Restudy,
 Reuters,
 ReverbNation,
 RICE,
 RMCDecouverte,
 RockstarGames,
 RoosterTeeth,
 RottenTomatoes,
 Roxwel,
 Rozhlas,
 RTBF,
 rte,
 rte:radio,
 rtl.nl,
 rtl2,
 rtl2:you,
 rtl2:you:series,
 Rtmp,
 RTP,
 RTS,
 rtve.es:alacarta,
 rtve.es:infantil,
 rtve.es:live,
 rtve.es:television,
 RTVNH,
 RTVS,
 RUHD,
 RumbleEmbed,
 rutube,
 rutube:channel,
 rutube:embed,
 rutube:movie,
 rutube:person,
 rutube:playlist,
 RUTV,
 Ruutu,
 Ruv,
 safari,
 safari:api,
 safari:course,
 SAKTV,
 SaltTV,
 Sapo,
 savefrom.net,
 SBS,
 schooltv,
 screen.yahoo:search,
 Screencast,
 ScreencastOMatic,
 ScrippsNetworks,
 scrippsnetworks:watch,
 SCTE,
 SCTECourse,
 Seeker,
 SenateISVP,
 SendtoNews,
 Servus,
 Sexu,
 SeznamZpravy,
 SeznamZpravyArticle,
 Shahid,
 ShahidShow,
 Shared,
 ShowRoomLive,
 Sina,
 sky.it,
 sky:news,
 sky:sports,
 sky:sports:news,
 skyacademy.it,
 SkylineWebcams,
 skynewsarabia:article,
 skynewsarabia:video,
 Slideshare,
 SlidesLive,
 Slutload,
 Snotr,
 Sohu,
 SonyLIV,
 soundcloud,
 soundcloud:playlist,
 soundcloud:search,
 soundcloud:set,
 soundcloud:trackstation,
 soundcloud:user,
 SoundcloudEmbed,
 soundgasm,
 soundgasm:profile,
 southpark.cc.com,
 southpark.cc.com:español,
 southpark.de,
 southpark.nl,
 southparkstudios.dk,
 SpankBang,
 SpankBangPlaylist,
 Spankwire,
 Spiegel,
 sport.francetvinfo.fr,
 Sport5,
 SportBox,
 SportDeutschland,
 spotify,
 spotify:show,
 Spreaker,
 SpreakerPage,
 SpreakerShow,
 SpreakerShowPage,
 SpringboardPlatform,
 Sprout,
 sr:mediathek,
 SRGSSR,
 SRGSSRPlay,
 stanfordoc,
 Steam,
 Stitcher,
 StitcherShow,
 Streamable,
 streamcloud.eu,
 StreamCZ,
 StreetVoice,
 StretchInternet,
 stv:player,
 SunPorno,
 sverigesradio:episode,
 sverigesradio:publication,
 SVT,
 SVTPage,
 SVTPlay,
 SVTSeries,
 SWRMediathek,
 Syfy,
 SztvHu,
 t-online.de,
 Tagesschau,
 tagesschau:player,
 Tass,
 TBS,
 TDSLifeway,
 Teachable,
 TeachableCourse,
 teachertube,
 teachertube:user:collection,
 TeachingChannel,
 Teamcoco,
 TeamTreeHouse,
 TechTalks,
 techtv.mit.edu,
 ted,
 Tele13,
 Tele5,
 TeleBruxelles,
 Telecinco,
 Telegraaf,
 TeleMB,
 TeleQuebec,
 TeleQuebecEmission,
 TeleQuebecLive,
 TeleQuebecSquat,
 TeleQuebecVideo,
 TeleTask,
 Telewebion,
 TennisTV,
 TenPlay,
 TestURL,
 TF1,
 TFO,
 TheIntercept,
 ThePlatform,
 ThePlatformFeed,
 TheScene,
 TheStar,
 TheSun,
 TheWeatherChannel,
 ThisAmericanLife,
 ThisAV,
 ThisOldHouse,
 TikTok,
 TikTokUser (CURRENTLY BROKEN),
 tinypic,
 TMZ,
 TMZArticle,
 TNAFlix,
 TNAFlixNetworkEmbed,
 toggle,
 ToonGoggles,
 tou.tv,
 Toypics,
 ToypicsUser,
 TrailerAddict (CURRENTLY BROKEN),
 Trilulilu,
 Trovo,
 TrovoVod,
 TruNews,
 TruTV,
 Tube8,
 TubiTv,
 Tumblr,
 tunein:clip,
 tunein:program,
 tunein:shortener,
 tunein:station,
 tunein:topic,
 TunePk,
 Turbo,
 tv.dfb.de,
 TV2,
 tv2.hu,
 TV2Article,
 TV2DK,
 TV2DKBornholmPlay,
 TV4,
 TV5MondePlus,
 tv5unis,
 tv5unis:video,
 tv8.it,
 TVA,
 TVANouvelles,
 TVANouvellesArticle,
 TVC,
 TVCArticle,
 TVer,
 tvigle,
 tvland.com,
 TVN24,
 TVNet,
 TVNoe,
 TVNow,
 TVNowAnnual,
 TVNowNew,
 TVNowSeason,
 TVNowShow,
 tvp,
 tvp:embed,
 tvp:series,
 TVPlayer,
 TVPlayHome,
 Tweakers,
 TwitCasting,
 twitch:clips,
 twitch:stream,
 twitch:vod,
 TwitchCollection,
 TwitchVideos,
 TwitchVideosClips,
 TwitchVideosCollections,
 twitter,
 twitter:amplify,
 twitter:broadcast,
 twitter:card,
 udemy,
 udemy:course,
 UDNEmbed,
 UFCArabia,
 UFCTV,
 UKTVPlay,
 umg:de,
 UnicodeBOM,
 Unistra,
 Unity,
 uol.com.br,
 uplynk,
 uplynk:preplay,
 Urort,
 URPlay,
 USANetwork,
 USAToday,
 ustream,
 ustream:channel,
 ustudio,
 ustudio:embed,
 Varzesh3,
 Vbox7,
 VeeHD,
 Veoh,
 Vesti,
 Vevo,
 VevoPlaylist,
 VGTV,
 vh1.com,
 vhx:embed,
 Viafree,
 vice,
 vice:article,
 vice:show,
 Vidbit,
 Viddler,
 Videa,
 video.google:search,
 video.sky.it,
 video.sky.it:live,
 VideoDetective,
 videofy.me,
 videomore,
 videomore:season,
 videomore:video,
 VideoPress,
 Vidio,
 VidLii,
 vidme,
 vidme:user,
 vidme:user:likes,
 vier,
 vier:videos,
 viewlift,
 viewlift:embed,
 Viidea,
 viki,
 viki:channel,
 vimeo,
 vimeo:album,
 vimeo:channel,
 vimeo:group,
 vimeo:likes,
 vimeo:ondemand,
 vimeo:review,
 vimeo:user,
 vimeo:watchlater,
 Vimple,
 Vine,
 vine:user,
 Viqeo,
 Viu,
 viu:ott,
 viu:playlist,
 Vivo,
 vk,
 vk:uservideos,
 vk:wallpost,
 vlive,
 vlive:channel,
 vlive:post,
 Vodlocker,
 VODPl,
 VODPlatform,
 VoiceRepublic,
 Voot,
 VoxMedia,
 VoxMediaVolume,
 vpro,
 Vrak,
 VRT,
 VrtNU,
 vrv,
 vrv:series,
 VShare,
 VTM,
 VTXTV,
 vube,
 VuClip,
 VVVVID,
 VVVVIDShow,
 VyboryMos,
 Vzaar,
 Wakanim,
 Walla,
 WalyTV,
 washingtonpost,
 washingtonpost:article,
 wat.tv,
 WatchBox,
 WatchIndianPorn,
 WDR,
 wdr:mobile,
 WDRElefant,
 WDRPage,
 Webcaster,
 WebcasterFeed,
 WebOfStories,
 WebOfStoriesPlaylist,
 Weibo,
 WeiboMobile,
 WeiqiTV,
 Wistia,
 WistiaPlaylist,
 wnl,
 WorldStarHipHop,
 WSJ,
 WSJArticle,
 WWE,
 XBef,
 XboxClips,
 XFileShare,
 XHamster,
 XHamsterEmbed,
 XHamsterUser,
 xiami:album,
 xiami:artist,
 xiami:collection,
 xiami:song,
 ximalaya,
 ximalaya:album,
 XMinus,
 XNXX,
 Xstream,
 XTube,
 XTubeUser,
 Xuite,
 XVideos,
 XXXYMovies,
 Yahoo,
 yahoo:gyao,
 yahoo:gyao:player,
 yahoo:japannews,
 YandexDisk,
 yandexmusic:album,
 yandexmusic:artist:albums,
 yandexmusic:artist:tracks,
 yandexmusic:playlist,
 yandexmusic:track,
 YandexVideo,
 YapFiles,
 YesJapan,
 yinyuetai:video,
 Ynet,
 YouJizz,
 youku,
 youku:show,
 YouNowChannel,
 YouNowLive,
 YouNowMoment,
 YouPorn,
 YourPorn,
 YourUpload,
 youtube,
 youtube:favorites,
 youtube:history,
 youtube:playlist,
 youtube:recommended,
 youtube:search,
 youtube:search:date,
 youtube:subscriptions,
 youtube:tab,
 youtube:truncated_id,
 youtube:truncated_url,
 youtube:watchlater,
 YoutubeYtBe,
 YoutubeYtUser,
 Zapiks,
 Zattoo,
 ZattooLive,
 ZDF,
 ZDFChannel,
 zingmp3,
 Zype

