Package: afni-atlases Source: afni-data Version: 0.20180120-1.1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 109419 Homepage: http://afni.nimh.nih.gov Priority: extra Section: science Filename: pool/main/a/afni-data/afni-atlases_0.20180120-1.1_all.deb Size: 98215048 SHA256: b7b30ce4345671d92cb08f939b76de42f81a6839abe3d47dba1db0620fe64e0c SHA1: 792d6506cc866acfa54fc71475f823e686f169f7 MD5sum: deaddf5e6992face9b5edeb62644187c Description: standard space brain atlases for AFNI AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provide AFNI's standard space brain templates in HEAD/BRIK format. Package: asciidoctor-doc Source: asciidoctor Version: 1.5.7.1-1~nd~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3305 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~nd100+1_all.deb Size: 347072 SHA256: da5281d156e5ebe7c652e01ad46bf548fc009f9fdcb2491d4995231cf56ac778 SHA1: b18fe01be11458db062a6833e479ddfb0fe54c4a MD5sum: f9208a6136458959f4d9394d6d14e094 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 47924 SHA256: b30d972ceeda66aeb1cde176912e878939268025a51eb57dc3cb2281f806ee04 SHA1: 0b23310c8f233100f538aac818153571322f14b8 MD5sum: 5582b51cae6e0d785b05ccfd7ee32c30 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: 0.32.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 409 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_0.32.5-1~nd100+1_all.deb Size: 120156 SHA256: c702484bc803f8aeb3e77335f76ccb7dfb3038363b0f47263cab5c85d122a26e SHA1: 1d7d7ece91062b19c17102428188c7d577cd0633 MD5sum: 28028f45aa5f02448f3a5e1bca266e0d 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: connectome-workbench Version: 1.5.0-1~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 64411 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libftgl2 (>= 2.4.0), libgcc1 (>= 1:4.2), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.6.0~beta), libqt5network5 (>= 5.0.2), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.11.0~rc1), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.5.0-1~nd100+1_ppc64el.deb Size: 24807940 SHA256: f94e4f029eb0aeb3e3fcda9c40238093daaa23bf2091f40a07dbba822ca4db9a SHA1: b25120e8735fe9e4054006e18630f11c08648fe3 MD5sum: 48fe9ca0bc23ca77201fbc41f1bad0a0 Description: brain visualization, analysis and discovery tool Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. Package: connectome-workbench-dbg Source: connectome-workbench Version: 1.5.0-1~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 290887 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.5.0-1~nd100+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.5.0-1~nd100+1_ppc64el.deb Size: 288320784 SHA256: 74ce8d9ebb69be8254ec0f57ab6eaa0d89f116e8b720ce86e8bcfe65433648d5 SHA1: 60aff3fca761cae68ed95fd966e07825f3adaf5a MD5sum: a6a991d5f9617c51038112d74a5bd6a7 Description: brain visualization, analysis and discovery tool -- debug symbols Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. . This package contains debug symbols for the binaries. Build-Ids: 07e35a249a3051e2489bb9f492412583ab837fb6 de3b7e6c20afde0a7f2ee27bfa5f3bf5ef3c78d5 Package: copyq-doc Source: copyq Version: 3.6.1-1~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1618 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.2+dfsg) Built-Using: sphinx (= 1.7.9-1) 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~nd100+1_all.deb Size: 906320 SHA256: e3e2da0007c127120de3cd642e005e72e6711f141ae409daf82ecf3e1a66a1c0 SHA1: 6a05629a3155a55f1dccfd74ddc4203b6b9e4f70 MD5sum: b993befd7e564a0d1f4c836820a85568 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: 0.18.3-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 223 Depends: neurodebian-popularity-contest, python3-datalad (= 0.18.3-2~nd100+1), python3-argcomplete (>= 1.12.3), python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.18.3-2~nd100+1_all.deb Size: 185348 SHA256: 496923ea94376febb450eec74e1ea7649ddf1cab55ff5c91d0174800e58e1496 SHA1: a5839cbc4408909f6747a64d5c14cbae23413c06 MD5sum: e4dd2fd8a8c880053e79cfdab58401b8 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 116 Depends: neurodebian-popularity-contest, datalad (>= 0.13~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3:any 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~nd100+1_all.deb Size: 26520 SHA256: cb87ac9b5c50f59b40fc1fcd7ff920bdb50167764c64b74ee19049af41f962aa SHA1: 28e59e4e408b723536bbef23e3fee4c6ea1fe9e3 MD5sum: 2f47ca5d5291415661ce421b1de5ff47 Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: debhelper Version: 13.11.4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1422 Depends: neurodebian-popularity-contest, autotools-dev, dh-autoreconf (>= 17~), dh-strip-nondeterminism (>= 0.028~), dpkg (>= 1.18.0~), dpkg-dev (>= 1.18.2~), dwz (>= 0.12.20190711), file (>= 3.23), libdebhelper-perl (= 13.11.4~nd100+1), libdpkg-perl (>= 1.17.14), man-db, po-debconf, perl:any Suggests: dh-make Breaks: cmake (<< 3.9~), meson (<< 0.40.0~) Provides: debhelper-compat (= 9), debhelper-compat (= 10), debhelper-compat (= 11), debhelper-compat (= 12), debhelper-compat (= 13), dh-sequence-dwz, dh-sequence-elf-tools, dh-sequence-installinitramfs, dh-sequence-installsysusers, dh-sequence-single-binary, dh-sequence-systemd Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/d/debhelper/debhelper_13.11.4~nd100+1_all.deb Size: 952436 SHA256: db6bd38982cec609e64ff01d49229e77ef1f71da0d199506617783690e8585ef SHA1: e48ee6dc17c877598ef1db9b7c327c6d4cd93f3e MD5sum: 3faff00ba3cebd556cc9b6b3cab69a4b 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: 1.2.7+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, octave-dev | liboctave-dev, debhelper-compat (= 13), cme, libconfig-model-dpkg-perl, libparse-debcontrol-perl, libmime-tools-perl, libfile-find-rule-perl, dh-octave-autopkgtest, perl:any Provides: dh-sequence-octave Priority: optional Section: devel Filename: pool/main/d/dh-octave/dh-octave_1.2.7+nd1~nd100+1_all.deb Size: 23232 SHA256: 7f34b8f7b7fe88f0f088db114b844b499b9640887d0c5360cdca8b16079d3579 SHA1: 9a4b1c82ff58069c0301e2e75efe887ff964e6d3 MD5sum: 33a74176a066d966b61d3351d966183f 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: 1.2.7+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: neurodebian-popularity-contest, gnuplot-nox, fonts-freefont-otf Priority: optional Section: devel Filename: pool/main/d/dh-octave/dh-octave-autopkgtest_1.2.7+nd1~nd100+1_all.deb Size: 9680 SHA256: 3a9d60886b0f55f9aedc470d7d1e8b0dc9e62f0dcaa7bb7513a429eed6212b27 SHA1: a36e0da2427928b6a9328423eb78cfdaf28881e3 MD5sum: 8053ab8acb394f0168feb304f8a1083c 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 122648 SHA256: f5f75636c8df0fdc267f7fa610d705fd0829f1020ce98e9a376695ec8cb0e4c2 SHA1: ae2d2b32f56611aba32b9b5f224aa272f5dd81e4 MD5sum: 449e8efa04312e9538ee2b05a58110e3 Description: debhelper add-on to handle systemd unit files - transitional package This package is for transitional purposes and can be removed safely. Package: fsleyes Version: 0.15.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239787 Depends: neurodebian-popularity-contest, python-fsl, python-fsleyes-props, python-fsleyes-widgets, python-wxgtk3.0, python-six (>= 1.0~), python-jinja2, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd100+1_all.deb Size: 26727496 SHA256: aa8cd7cacddf4a0ab2933e6330594da4a0c95954ffffa3c6974ac33a79c8cf27 SHA1: 13e9bd1338ee233a179ba809a075961b5fd10326 MD5sum: 8bb360750b3746266edc141788eed30c Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: gdf-tools Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 147 Depends: neurodebian-popularity-contest, libboost-filesystem1.67.0, libboost-program-options1.67.0, libboost-system1.67.0, libc6 (>= 2.17), libgcc1 (>= 1:3.0), libgdf0 (>= 0.1.3), libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: utils Filename: pool/main/libg/libgdf/gdf-tools_0.1.3-3~nd100+1_ppc64el.deb Size: 35884 SHA256: 9f0a91fc23f19afe64bb2e1f374afb61bf5f86c52346f71a4e6cd118b1a64f0c SHA1: 53813e28d7c5ced4115014848cf7c25f83eeab1d MD5sum: c275ce78e98448aa5d0f48f8b0c038a3 Description: IO library for the GDF -- helper tools GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the tool shipped with the library (gdf_merger). Package: gdf-tools-dbgsym Source: libgdf Version: 0.1.3-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 405 Depends: gdf-tools (= 0.1.3-3~nd100+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/gdf-tools-dbgsym_0.1.3-3~nd100+1_ppc64el.deb Size: 367644 SHA256: 948c46420fe8a083afde9fa705ef57225e6434fa488a35ccb738df1adf33e489 SHA1: e61bc774c483363ffb55bf38b395be49edae2212 MD5sum: e786684f1ce21b5c0d782b0efaf0100f Description: debug symbols for gdf-tools Build-Ids: 438233d2c520764825b99b3c788d2994dd212851 Package: git Version: 1:2.24.0-1~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 53519 Depends: neurodebian-popularity-contest, libc6 (>= 2.28), libcurl3-gnutls (>= 7.56.1), libexpat1 (>= 2.0.1), libpcre3, zlib1g (>= 1:1.2.0), perl, liberror-perl, git-man (>> 1:2.24.0), git-man (<< 1:2.24.0-.) Recommends: ca-certificates, patch, less, ssh-client Suggests: gettext-base, git-daemon-run | git-daemon-sysvinit, git-doc, git-el, git-email, git-gui, gitk, gitweb, git-cvs, git-mediawiki, git-svn Breaks: bash-completion (<< 1:1.90-1), cogito (<= 0.18.2+), dgit (<< 5.1~), git-buildpackage (<< 0.6.5), git-core (<< 1:1.7.0.4-1.), gitosis (<< 0.2+20090917-7), gitpkg (<< 0.15), gitweb (<< 1:1.7.4~rc1), guilt (<< 0.33), openssh-client (<< 1:6.8), stgit (<< 0.15), stgit-contrib (<< 0.15) Replaces: git-core (<< 1:1.7.0.4-1.), gitweb (<< 1:1.7.4~rc1) Provides: git-completion, git-core Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git_2.24.0-1~nd100+1_ppc64el.deb Size: 6584532 SHA256: 3afae3236aa5e5ad0321729d23ecb890cdf8ef867f7349ee295a6b084c9a249e SHA1: 7d2d4f6d767996be614a50281984f42d3520d9bd MD5sum: 50077d68ec007aac9ec5bbe1b5d73d51 Description: fast, scalable, distributed revision control system 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 main components with minimal dependencies. Additional functionality, e.g. a graphical user interface and revision tree visualizer, tools for interoperating with other VCS's, or a web interface, is provided as separate git* packages. Package: git-all Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 834256 SHA256: 97e822757380cf88354973507c090e2969f196c51dfbd775e56d6fdecffcbf16 SHA1: 6bd30fd503d31d77f384e2ecc80665231811761e MD5sum: d13f61e6dd80f74fc4ef007b9c858024 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 8180 SHA256: ae6d220d66dbf03b73f76829eae0be3c6e896cde4e9b4204798740adc5b9ddd7 SHA1: c3902f512d624fc5fb5b9bfbe27835347b202c17 MD5sum: 5e71901d827469ab0f75c8f017e23c45 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-core Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8 Depends: neurodebian-popularity-contest, git (>> 1:1.7.0.2) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-core_2.14.1-3+nd0~nd100+1_all.deb Size: 1438 SHA256: 13bf22417ecc8cec3d7d273a8ca840b9dc9de8009fb1b692ac200dd0b263f699 SHA1: 2dd4cdec7a1767ce4de1b031a4ff0dbea62f12a0 MD5sum: e58cd20daf94ad8f4199135fef2a653d Description: fast, scalable, distributed revision control system (obsolete) 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 transitional dummy package. The 'git-core' package has been renamed to 'git', which has been installed automatically. This git-core package is now obsolete, and can safely be removed from the system if no other package depends on it. Package: git-cvs Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 897208 SHA256: 47c791ad6f7f897212d14feb56ea976135d9819cf19b2ceffb5f74a257e59870 SHA1: ba32884b23e7295418fe5f5abf1e0b3e77e67d58 MD5sum: 9747257eb8cb600cedc97c4881b15334 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 835876 SHA256: 6c4ec452764ada1b45aa8a61eb1a2c601d6bf95399d354c2ebee0997eff75fa4 SHA1: 765ebedd2a845372d1a756f0ad7a81f0985bbf30 MD5sum: e651bb4cfd2c6a26365efae92b430e34 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 836920 SHA256: 9e4169917a415941fdb116786d53256e132af81e9cd4a0ff184b0c2185da8b1d SHA1: bf7e43a5f4e52561be81c22349f1fad138d54df5 MD5sum: 70e340e781480005a9fd1b5b33f81d2b 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-dbgsym Source: git Version: 1:2.24.0-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 54277 Depends: git (= 1:2.24.0-1~nd100+1) Priority: optional Section: debug Filename: pool/main/g/git/git-dbgsym_2.24.0-1~nd100+1_ppc64el.deb Size: 51713340 SHA256: 518c79f800002cb601d48fbdbc192c9fd604c4b4533e3b4352c56e688ae8d5eb SHA1: f37ef969898bb3c2d772412235a4e7e0e51e2953 MD5sum: 2643d6f3b4133a408bf4a0109f04e5cd Description: debug symbols for git Build-Ids: 10d04629effe60c9eeb82dbde1a7c36d71bfa737 14587458a74436a3264f50f6986b5d0932eb879f 1f9df703bc0e1379e739cbb73082e18387ccbfe4 592622f89dcf9ad5db39b9ee8e3820ab4d10d8aa 6a27468b66bf29dcd41798dd861cfeca41ddbe49 729488556ff5a016df99610cdcd39ff7a2eaee3b 7925d0d3aa1e28796cf6bfca6ee6d48851d6ea05 866b702235b8fad16c69e8eeee5b51bc998f162f 8c8cfa8da025976db27258860be6825d0ea49a91 8c9d3b3e31ae1e526bfb9033d7c0779eaee65aaa 9b58d96539d299050d7247024fc67f025753c574 9b6fad87d62b226cbdd10984867a3f9070e60924 f0459ddeca5cc0fbd6f6e73e100d388800b97a3f f73eb739adf398b65f85faa2fc64f037f16884c1 Package: git-doc Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 1837108 SHA256: 0d643e3483c9e3114c790dfa38f51deaa9183e3cd8e4e1c30c65e65d57555096 SHA1: ac7c2b3ad361b407a7f4f4179ca2425592cf5faa MD5sum: 7426aa36af8f701618a626fd5d4262a6 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 836628 SHA256: 76a77bc21eed21bafe262cb9cbd07d1fd1785d3229f435e9fc97fa8a906f22fa SHA1: 9cb6fa70f440c4c5ef39ea54ec9e25af7177546f MD5sum: 863daf3c55e1f57d8f17da0bee55811a 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 859536 SHA256: 296885504064f57eb144da58da4828f556ac77e26ebec04a016580b4e7899720 SHA1: 242066d7db60ff4d19b4bf6166273923c0b57fc5 MD5sum: 11f2036fd9e8532a5c746251b68eb318 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 1044528 SHA256: c5c486d9ba9bd6b9e1f3fc18ecd26e01ef39ed53847472c7ce6aa20d88e134b4 SHA1: f23193beb9a357462ee1e1e3bad8b8ddf488a2c1 MD5sum: 0dbed42aa97d2a7653bd75c76542f8de 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 1695060 SHA256: 45f4c865e9032e4fbd26c83efc885a2a0982b78109017d8ad071765a010e3dee SHA1: ac5a9c96469ee3669044ce5a8e0c6b99fea91211 MD5sum: d9e903a2e0e9ef030b72ee93726dc64d 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 850224 SHA256: 603c7c62136d3c0b9d133d10708a353e25f4d70496e3815c5635cd7bb5cd533c SHA1: 2e6692fbf01ec4496fb73e02f69ed0b26af49661 MD5sum: cc7948166bec355957e5444d94df7a22 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 909412 SHA256: bf41c3f6a62c088b97b441f9719fdc6cc39b49befa8d1d0a39be49efaf262119 SHA1: 863a375a8813a4a7edd8e89c7f7ac9de6c5726a1 MD5sum: d5eba4f019172e9d951db274a506d640 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 969412 SHA256: d681771f4e98e3f8df6466fd8cba94765b8ec0bab36504fd4bd6548cc471432c SHA1: 06a2f6082d104f703f88331db54f0fb57079cba3 MD5sum: 8d009ff17c646b19fddb32d812dd8d1b 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 838516 SHA256: 302536cb29b0094ba7409a111ee5c207c958f207252d889f189326fb416fa700 SHA1: d73b89a66538ae0ae78863d5d7fe475fd00ba95c MD5sum: 2b54d78a5ed1d9ce8e1527b77a7a04c6 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 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: 0.13.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13543 Depends: neurodebian-popularity-contest, python3-dcmstack, python3-filelock, python3-nibabel, python3-nipype, python3-pydicom, python3:any, dcm2niix, python3, python3-dicom, python3-numpy Recommends: python3-pytest, python3-datalad, python3-etelemetry Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.13.1-1~nd100+1_all.deb Size: 7661152 SHA256: 3ebb390a9e77a6d0f907b672d9b366993c1526d6feedafe6b1bce0fb3a089024 SHA1: f1912f0e34a0d0ff38fb87b615d4d57f0af7d36d MD5sum: e3fafd9a49c8a4f7b1bd642946589c59 Description: DICOM converter with support for structure heuristics This is a flexible dicom converter for organizing brain imaging data into structured directory layouts. It allows for flexible directory layouts and naming schemes through customizable heuristics implementations. It only converts the necessary dicoms, not everything in a directory. It tracks the provenance of the conversion from dicom to nifti in w3c prov format. Package: htcondor-doc Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6226 Depends: neurodebian-popularity-contest Breaks: condor-doc (<< 8.0.5~) Replaces: condor-doc (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: doc Filename: pool/main/c/condor/htcondor-doc_8.6.8~dfsg.1-1~nd100+1_all.deb Size: 1087168 SHA256: af43decd2d983deba34ff8a7c1001c7b0e5095b637b73f54f646b0e2c8124d45 SHA1: c8627c789c55859bbb2a0beb13e70523d0f3f5f8 MD5sum: 31097e9b3639054503c5b5c90bf87dd9 Description: distributed workload management system - documentation Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides HTCondor's documentation in HTML and PDF format, as well as configuration and other examples. Package: impressive Version: 0.13.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 494 Depends: neurodebian-popularity-contest, python3, python3-pygame, python3-pil, mupdf-tools (>= 1.5) | poppler-utils Recommends: mplayer, ffmpeg, perl, xdg-utils Suggests: ghostscript, latex-beamer, pdftk Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.13.1-1~nd100+1_all.deb Size: 196896 SHA256: f346b99be2d628ee53dd3188aa766dc5f3edf300d337f480f85a16ecd1d8f5ac SHA1: 32d18921e5fc85b3fba7b2ffd795ee6c8cd0848d MD5sum: 9e89f63be171835fac4a5ba651017983 Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization * Support of movies presentation * Active hyperlinks within PDFs Package: isympy-common Source: sympy Version: 1.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 186576 SHA256: e7150e0aef0107fa5b2fe22d249888b2b7de7043cf804aaf5a19cf3a8e7d3c20 SHA1: 90b7330c12ed62f66bc7f31f16098942ad82727a MD5sum: fa91a350661edf6de6fe377e9f2db8c2 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 8348 SHA256: 70c954f899d35733a3b6705917f0d071513ba493c1fb11b11e93f9789a66b4ca SHA1: 2a39d0a36ffdbb0b38351de592d413713bcfe95a MD5sum: 602eceed7a85109922b7901e36759c21 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: libdebhelper-perl Source: debhelper Version: 13.11.4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 312 Depends: neurodebian-popularity-contest, perl:any Breaks: debhelper (<< 12.6~) Replaces: debhelper (<< 12.6~) Multi-Arch: foreign Priority: optional Section: perl Filename: pool/main/d/debhelper/libdebhelper-perl_13.11.4~nd100+1_all.deb Size: 81348 SHA256: 23eb04663b5df2906250a4650e9a1d87c283a4e83e6c3144976414276f1d015f SHA1: 7e92991cf37cc88d4bcebbd654ca13a9ab6fca69 MD5sum: cabf1c41793e89b40811eb3b2aeffb8d Description: debhelper perl modules A collection of programs that can be used in a debian/rules file to automate common tasks related to building Debian packages. . This package provides the perl modules used by the scripts in debhelper. Package: libfreenect-doc Source: libfreenect Version: 1:0.5.3-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 142336 SHA256: 5ebbe49cd66bec1277da224a385d24c08fcf30b883011141adc62aee5c1a43b4 SHA1: 127a85133a117b8ea0bbea5e71320fee0f7fceea MD5sum: 814b10015e5bab57a9fb88709f9af94f 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: libgdf-dev Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.3-3~nd100+1) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.3-3~nd100+1_ppc64el.deb Size: 21108 SHA256: 03bd1a788a4ecf33c65d3abaad377c4c199aec8db3f2a9c259d3bcd8b1f0f197 SHA1: d06c85e75b515a3d2f86050934fde3b3e4fd357a MD5sum: c25e3c08acf5c6926528be70d4e35f01 Description: IO library for the GDF -- development library GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the header files and static library. Package: libgdf0 Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 407 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.3-3~nd100+1_ppc64el.deb Size: 96668 SHA256: 79ce126a0973846f8a274378fcd472a22e61608232e0e829e9b7713c5d63af9e SHA1: b9f9c123e326ff437a8c8be2c3045568ade17b63 MD5sum: 33ef31ba723f8ae7b34e14997a5dc302 Description: IO library for the GDF (general dataformat for biosignals) GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package contains the shared library. Package: libgdf0-dbgsym Source: libgdf Version: 0.1.3-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 1292 Depends: libgdf0 (= 0.1.3-3~nd100+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbgsym_0.1.3-3~nd100+1_ppc64el.deb Size: 1223236 SHA256: bdd660f9ddba0764aa3d74e9a32309a26fda37dc8afbcbebcb4e0e4e75a76088 SHA1: e94735fc9efb901453619ec95283654576d51309 MD5sum: 566f54d41b92c7fa0bcd5571b312160b Description: debug symbols for libgdf0 Build-Ids: 55e5eeae4c31d3746ab108f32975694e7f5ee01a Package: libghc-filepath-bytestring-dev Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 1592 Depends: neurodebian-popularity-contest, libghc-base-dev-4.11.1.0-816ce, libghc-bytestring-dev-0.10.8.2-0f9e0, libghc-unix-dev-2.7.2.2-c6ee5, libatomic1 (>= 4.8), libc6 (>= 2.17), libgmp10 Suggests: libghc-filepath-bytestring-doc, libghc-filepath-bytestring-prof Provides: libghc-filepath-bytestring-dev-1.4.2.1.6-09fd2 Homepage: https://hackage.haskell.org/package/filepath-bytestring Priority: optional Section: haskell Filename: pool/main/h/haskell-filepath-bytestring/libghc-filepath-bytestring-dev_1.4.2.1.6-1~nd100+1_ppc64el.deb Size: 138992 SHA256: bbb46c97e2c10238a54f680c0fe5320c118d24457e312ffad2590f3f6237b8b4 SHA1: 0cbee819626d4ea55f757ca50c6644b251d76744 MD5sum: bdb601c0810dec5fcd36476b48e975f6 Description: library for manipulating RawFilePaths This package provides functionality for manipulating RawFilePath values. It can be used as a drop in replacement for the filepath library to get the benefits of using ByteStrings. It provides three modules: . * "System.FilePath.Posix.ByteString" manipulates POSIX/Linux style RawFilePath values (with / as the path separator). . * "System.FilePath.Windows.ByteString" manipulates Windows style RawFilePath values (with either \ or / as the path separator, and deals with drives). . * "System.FilePath.ByteString" is an alias for the module appropriate to your platform. . All three modules provide the same API, and the same documentation (calling out differences in the different variants). . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Ghc-Package: filepath-bytestring-1.4.2.1.6-3RbnVi4rUuA2gDcUktLBER Package: libghc-filepath-bytestring-doc Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 536 Depends: neurodebian-popularity-contest, haddock-interface-33 Recommends: ghc-doc, libjs-mathjax Homepage: https://hackage.haskell.org/package/filepath-bytestring Priority: optional Section: doc Filename: pool/main/h/haskell-filepath-bytestring/libghc-filepath-bytestring-doc_1.4.2.1.6-1~nd100+1_all.deb Size: 61644 SHA256: f19ca6476a46df1c312020a2f5f2e4c4ca1fbac26ba558ffbbf344ac9364c384 SHA1: 361a2ffe40169ca334e023e6f203e63713b4d73a MD5sum: e96e7fe2aff55fcf67e866df6cf59015 Description: library for manipulating RawFilePaths; documentation This package provides functionality for manipulating RawFilePath values. It can be used as a drop in replacement for the filepath library to get the benefits of using ByteStrings. It provides three modules: . * "System.FilePath.Posix.ByteString" manipulates POSIX/Linux style RawFilePath values (with / as the path separator). . * "System.FilePath.Windows.ByteString" manipulates Windows style RawFilePath values (with either \ or / as the path separator, and deals with drives). . * "System.FilePath.ByteString" is an alias for the module appropriate to your platform. . All three modules provide the same API, and the same documentation (calling out differences in the different variants). . This package provides the documentation for a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Package: libghc-filepath-bytestring-prof Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 1216 Depends: neurodebian-popularity-contest, libghc-filepath-bytestring-dev (= 1.4.2.1.6-1~nd100+1), libghc-base-prof-4.11.1.0-816ce, libghc-bytestring-prof-0.10.8.2-0f9e0, libghc-unix-prof-2.7.2.2-c6ee5 Provides: libghc-filepath-bytestring-prof-1.4.2.1.6-09fd2 Homepage: https://hackage.haskell.org/package/filepath-bytestring Priority: optional Section: haskell Filename: pool/main/h/haskell-filepath-bytestring/libghc-filepath-bytestring-prof_1.4.2.1.6-1~nd100+1_ppc64el.deb Size: 102712 SHA256: 6a5ddf0c75e3cb3a274be8b0ff485044f093ac8695997aa25cf09b940ce8988a SHA1: 045641bed8559c176c44ebca5c6d9544688c39a4 MD5sum: 2c1ff8c10887afc4185519b7abf38d78 Description: library for manipulating RawFilePaths; profiling libraries This package provides functionality for manipulating RawFilePath values. It can be used as a drop in replacement for the filepath library to get the benefits of using ByteStrings. It provides three modules: . * "System.FilePath.Posix.ByteString" manipulates POSIX/Linux style RawFilePath values (with / as the path separator). . * "System.FilePath.Windows.ByteString" manipulates Windows style RawFilePath values (with either \ or / as the path separator, and deals with drives). . * "System.FilePath.ByteString" is an alias for the module appropriate to your platform. . All three modules provide the same API, and the same documentation (calling out differences in the different variants). . This package provides a library for the Haskell programming language, compiled for profiling. See http://www.haskell.org/ for more information on Haskell. Package: libglm-dev Source: glm Version: 0.9.9.6-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 175996 SHA256: 66e73d8ede50521f3dffb68eb33696c2958dbd517431592cd7929d6361089429 SHA1: 4dcfa8bf665a472f222acf1d50ca2b4204c4fcc5 MD5sum: af0d59fb747b0928ce558cc1de2df787 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 499208 SHA256: 6473bca445f7fb222edaf4897cad6ed9b45bc7960844ba81848b547f05c8873d SHA1: c3a3278d4e5e53001560778acb1ffda6d019e117 MD5sum: 2ba0c2ae32b9371edc829fa5a0889ac7 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: mrtrix-doc Source: mrtrix Version: 0.2.13-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3409 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~nd100+1_all.deb Size: 3187060 SHA256: be9f535481f95c8c5b4a49b89e1547e7b1eea07aa23ca6b69de7c44907e8bf1b SHA1: d23a50560a4d3e1d593052b05f39c052ba093008 MD5sum: fb73fc42611e90bf0a3feba62a23df02 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 48720 SHA256: d0750cbcd6e8f62ceccaa64b1b053bfc73d7b3e081faca6022eb97b3daf516e1 SHA1: c5aba7c7f64f6decb9aa241e88a800260e323d7c MD5sum: 90e0b45161509f3dc16d1178ac22c800 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 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~nd100+1_all.deb Size: 31208 SHA256: 89d21f1d75a84b73f0fa175081039c1bfd940d410d4dd667959e033af4b1e4b9 SHA1: b61264c63cc9cfaf58bbc3d1131c194da05113a9 MD5sum: dd2593039179d3410b270caa5413468c 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20 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~nd100+1_all.deb Size: 6840 SHA256: 81fff651628b011f705c71b9aba8231cab5d8440f930abd39bfca2ebec6d9c21 SHA1: 324b675af3ccaa51101ffedf2cf3c8342de8ac58 MD5sum: fe2bab04a7d06d01529efc032d423833 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 195 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~nd100+1_all.deb Size: 118312 SHA256: 91e8c43f8ea2277aaf361e100ef33a2ebceef12314f328f2a91ce3ee8061cb13 SHA1: 13ad983f6a1da6c6187e148ec4b9708a0e349cf8 MD5sum: 9e0ea9a20acf738863319efbe804b78a 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 Depends: devscripts, neurodebian-archive-keyring Recommends: 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~nd100+1_all.deb Size: 30624 SHA256: 500d3e4714a36636b749b4450c60af934c5addd5fae828e8273369b4e3387ece SHA1: f1fea94ccf4a73badd2ad7e09cb5f082e9a67203 MD5sum: 9e93c2dba74a7d847d687289a5010acb 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.42.2~nd100+1_all.deb Size: 11448 SHA256: ed7b9b764dad37bce55e6caa0463ed8e19c433cf62d5d319f315f249eedddf90 SHA1: 2d94a7854bc8ae6d6efe1a21e75a336370b155d6 MD5sum: 3ed3e3d905ed89aa647a6d235c9e7827 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.42.2~nd100+1_all.deb Size: 9032 SHA256: 828c16fd8390bc04b975009f93984be708f23c1bbce7054469c3dd24ada8c0de SHA1: 2f0af3c7cfedfca1a8c0992a78290415deea2226 MD5sum: f43f93015e927ca11b14c63e66e27420 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23502 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~), python:any (<< 2.8), python:any (>= 2.7~) 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~nd100+1_all.deb Size: 2180284 SHA256: ea5313b14944f8e3b188efcc4a947c7e665734f1d2b982051bdbb5127070609a SHA1: 2c474b538c67dabd36c299ba840b87365dc2572f MD5sum: 9c167dabee19a269726354dedc44f4b3 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: octave-gdf Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 427 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), libc6 (>= 2.17), libgcc1 (>= 1:3.0), libgdf0 (>= 0.1.3), libgomp1 (>= 4.2.1), liboctave6, libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.3-3~nd100+1_ppc64el.deb Size: 77760 SHA256: 8521e83e2f686ec0daeb31f3181621ca9ba9e6364b23f980e084c56ab7d5f036 SHA1: 9c56fb57ebb3827068cc5d5b14b4da57e388052a MD5sum: f869a895301797834561387b2b1d047b Description: IO library for the GDF -- Octave interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides Octave bindings for libgdf. Package: octave-gdf-dbgsym Source: libgdf Version: 0.1.3-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 1088 Depends: octave-gdf (= 0.1.3-3~nd100+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/octave-gdf-dbgsym_0.1.3-3~nd100+1_ppc64el.deb Size: 1016588 SHA256: 4623038d462e02c73dcc5feb1b3082e1438e5802eebf2d31b5ead89344821ac7 SHA1: 896988450d8dc1b8323bf754f3e122be3a01eff7 MD5sum: c8e384173c0ed158ee2f1af14a27df80 Description: debug symbols for octave-gdf Build-Ids: 7e45f84ec08ed0c6168e2648c37f124f507d8f07 873d10958a924662d680f07ba5c5a4372ce96f99 Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 6411 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.17), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgomp1 (>= 4.9), libgstreamer-plugins-base1.0-0 (>= 1.6.0), libgstreamer1.0-0 (>= 1.4.0), liboctave6, libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), libstdc++6 (>= 5.2), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1, libxcb-dri3-0, libxcb1, libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxml2 (>= 2.6.27), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.17.6.dfsg1-1~nd100+1), psychtoolbox-3-lib (= 3.0.17.6.dfsg1-1~nd100+1) Recommends: octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.17.6.dfsg1-1~nd100+1_ppc64el.deb Size: 942920 SHA256: 979aa01c01b080f3c469695c69c4bbbefc482534e57a20dd71ed79327c0206f8 SHA1: d3e4cce793c03aa2b4618dc4cbd4f51bc356b6a7 MD5sum: 4511c4cfc4fcead1df90f6e8b2448e33 Description: toolbox for vision research -- Octave bindings 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. . See also http://www.psychtoolbox.org/UsingPsychtoolboxOnUbuntu for additional information about systems tune-up and initial configuration. . This package contains bindings for Octave. Package: openstack-pkg-tools Version: 112~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 100604 SHA256: dbf4cf20dc451f733d8014ac1503063d750f79463c8903d86f50f6f2967e6aca SHA1: 86afd7d8798ae05b6dc48dc6d25919560fd6467d MD5sum: 0dd9486090498ff5c38521dee1c1ad1b 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 37380 SHA256: ea6ce2e19856da4fddccd0842d7503abf3ede3ae43b13665dbead8dadd21ad68 SHA1: 4c8fc00a771d538d752300982947bce0cd8acdba MD5sum: 7496ce2ca5630d264e2765e27d22c710 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: psychopy Version: 1.85.3.dfsg-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15994 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-requests, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython, python-future Suggests: python-iolabs, python-pyxid, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.85.3.dfsg-1~nd100+1_all.deb Size: 6666356 SHA256: 501be7b5d955e73a73fcc0cc523a542e2b9855a7d9efedfd5e7870c7e53d1522 SHA1: 1faf53e1e15af8a16d1a4719a3f15e3d4e5a1aa2 MD5sum: 7b6d3d65bf52fd741280b91b52cd2f82 Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 32596492 SHA256: ccdcf61fb27e7fea525d3a2eb6141e758af40c7fd6af7e94a81eed00d52fb4cf SHA1: 1772a03db195a3311361e3977269bbf6777e01a0 MD5sum: 5d013d113a7c458ea82a3cf031977356 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: psychtoolbox-3-dbg Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 259 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.17.6.dfsg1-1~nd100+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.17.6.dfsg1-1~nd100+1_ppc64el.deb Size: 175724 SHA256: e26c9a160be9ec2cc431f9a7d2e02903f073d222c0c41cfb0e53b52823fd2dce SHA1: eb872c70ea5432b53a68f10174018d841ae164c8 MD5sum: 6eca874d2fe77b6b06ca79132e977efd Description: toolbox for vision research -- debug symbols for binaries 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. . To ease debugging and troubleshooting this package contains debug symbols for Octave bindings and other binaries. Build-Ids: f4884f8d0828c97c21a0ede7ee182cf22ea517fd f5c0b2f000246e8970cca493c1983a00fe377c8f Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 260 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5) Recommends: gstreamer1.0-plugins-base, gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav, libvulkan1 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.17.6.dfsg1-1~nd100+1_ppc64el.deb Size: 75148 SHA256: 8e612194829566dbdf53f69d1764aa40e254fb740ccac7997756ac5b1c0518df SHA1: c1d40d899a7dbc9b8e89f16ec2703edfd3ad309f MD5sum: 7e7ffc359bfec815adbe1f3bf567b48e Description: toolbox for vision research -- arch-specific parts 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 additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: pypy-hypothesis Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 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~nd100+1_all.deb Size: 161756 SHA256: 127e8628e3321370f0419a07e20cfe79858faf9b12748423dc799c0fae5af33e SHA1: e2ba3b79e25cfaa5572708b8a314b3ebd2f5cfd3 MD5sum: 85e3203ce304217d82838b058e8dc78b Description: advanced Quickcheck style testing library for PyPy Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the PyPy module. Package: pypy-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, pypy Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/pypy-json-tricks_3.11.0-1~nd100+1_all.deb Size: 19024 SHA256: 709d887281049d7b85ea050c05dc2a50dcfa6b11c05d1182f77750baf47c7ba0 SHA1: 37a98fbae6cfd1a8c4e479873857f93309992b75 MD5sum: 705a5fa9004f128f563934ce5012b49b Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: pypy-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, pypy Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/pypy-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14650 SHA256: 76fdeb72716499c4357486c73e1a178d3605b98757ec12dbaf0c6c16088fe518 SHA1: 769f10e69f65697be25a312a5d4a262c7f658d39 MD5sum: eb23aaa893aa6184e71f86efa5279af6 Description: Python 2 and 3 compatibility library (PyPy interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the PyPy module path. It is complemented by python-six and python3-six. Package: python-babel Version: 2.6.0+dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 421 Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd100+1), python-pkg-resources, python-tz, python2.7:any, python:any (<< 2.8), python:any (>= 2.7~) Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python-babel_2.6.0+dfsg.1-1~nd100+1_all.deb Size: 97508 SHA256: b47802b2a7f334b15d66ee2d100d02563ca0f000f26be7b2c372cff8161503af SHA1: 615de849f5e7cf5e90e64c69a98847c82f0060cf MD5sum: 1a7abcbf81aa13a45883163324406159 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 943 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~nd100+1_all.deb Size: 189184 SHA256: d86244f4984afd2fc962d99004ca7fb013d29f6822bddb1ac9265c67a2f42649 SHA1: c92d03f21dc93b9047a9506f154888c042f82b69 MD5sum: ed61660370e7918d87d20f729c6f7151 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 4082424 SHA256: 6d448b77e673eb7e587e7964e63475f6681908afaed6d80656cc4a76de68936c SHA1: 4d0d97d699d76098402e38f6dec7616b09b16ffa MD5sum: ac2079e8f2d972356b2591db4c61cb48 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 739672 SHA256: f89652b2bc2804fa9d8c00d9178837e68dc41d267695af38f087ae9ef87af067 SHA1: 19f010e86b66d5d04e72b9aa9b84eb4d2379bf3a MD5sum: fcaeee51e2b238b07d7ebae004f7f72b 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~) 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~nd100+1_all.deb Size: 7904 SHA256: b7b26050822583e81531e4053a405ed8f5526153585dec126e38ab865ca848f4 SHA1: 2781ff25a0895a006df426d545c47fd7831a8190 MD5sum: 68149145d6fa948ddb8877962f30d59b 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-chardet Source: chardet Version: 3.0.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python-chardet_3.0.4-1~nd100+1_all.deb Size: 80396 SHA256: cfdb639d4027edd28db73da5a2bfc3e9af9e93f313397722b8ac4dfa580cc95a SHA1: 5403e92e3264577bf3c9810eb176390a9fcc9ed1 MD5sum: edb727b1d260695644fb9835d55d77f1 Description: universal character encoding detector for Python2 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. Package: python-datalad Source: datalad Version: 0.11.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4573 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180913~) | git-annex-standalone (>= 6.20180913~), patool, python-appdirs, python-fasteners, python-git (>= 2.1.6~), python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage, python-keyring, python-mock, python-msgpack, python-pil, python-requests, python-simplejson, python-six (>= 1.8.0), python-tqdm, python-wrapt, python-boto, python-chardet, python:any (<< 2.8), python:any (>= 2.7~) Recommends: python-exif, python-github, python-jsmin, python-html5lib, python-httpretty, python-libxmp, python-lzma, python-mutagen, python-nose, python-pyperclip, python-requests-ftp, python-vcr, python-whoosh Suggests: python-duecredit, python-bs4, python-numpy Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.11.8-1~nd100+1_all.deb Size: 950060 SHA256: aa3facf3776df313869a222746b45d8ea22e2d2f51f411625b79ffe8735192b2 SHA1: 5625c198f4931616ad3a7a8a2a30dcb43c4a0401 MD5sum: d279d6a4bf982be5bdf404f9b89fdebb 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 2, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python-dcmstack Source: dcmstack Version: 0.7-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 504 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python-pydicom, python:any (<< 2.8), python:any (>= 2.7~), 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~nd100+1_all.deb Size: 76440 SHA256: 86b7b54d288087388516f7cff260c17f9fd5bc78c3bc75def857618c7abefd07 SHA1: 53bacc04ba61eb1e3e482e492d0b53bfcc346a0c MD5sum: 745886b8ece9aaae0fcbf440369a3d36 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-deprecation Version: 1.0.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python-deprecation_1.0.1-1~nd100+1_all.deb Size: 8510 SHA256: 904e099f90b7871c149adbd3d7be35e8e3c9098be821c339ef1aff04faec03d2 SHA1: 92c0e437c4fd51cde8ffb52c35c6fd0a88152393 MD5sum: 0588bedde980f3c0c12eb56df1e933da Description: Library to handle automated deprecations - Python 2.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 2.x module. Package: python-dicom Source: pydicom Version: 1.2.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 4888 SHA256: df90b827394bdd3f8a81972ca2595cce02fb15a66c315860d637fbb1913b59d6 SHA1: e9c049a8e4a6f2949c633ed80efef531dcc8e097 MD5sum: 2ae2359feb46d23b46d1e2e4a3d09377 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8634 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~nd100+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~nd100+1_all.deb Size: 3062240 SHA256: 87b0e6e79a27969c020a7850b4b8ddb02e5a386540b9eb41e8d920509df9e0c6 SHA1: 03fb60cb9818fdb2eff868172343c0c329331904 MD5sum: 8c62f74ba229ddbc44e665c406f40ca8 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16479 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~nd100+1_all.deb Size: 12643476 SHA256: 123fac32659bfd4fc535b3a70cfe64c6045be1440b02b76b08df43c4c817ed56 SHA1: 6a4dc8a19cb65eaea8c17736146c075459b91ef5 MD5sum: 05285aa2476a109e45f45698615586d6 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 250 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.7.0-1~nd100+1_all.deb Size: 57264 SHA256: d918bf78a48dab3bf9170e47735051feea65b0d28c4ffd1d09af30ddde08c43f SHA1: 6c9c1edd98c4142f329a6d20751f794aa4af2221 MD5sum: 9ba5b05ed61f1b58d499c6addfdb87b2 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 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~nd100+1_all.deb Size: 30928 SHA256: 158580cf80d19da4c435467fc6b0418f7b3ca637fb163ce8b96b44d2fb54680c SHA1: 908d673c2cd2f0a290bbe49bb4ddcdd2d2c82f5c MD5sum: 9935895be8bb82e580f54b9746610b47 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-fasteners Version: 0.12.0-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python-monotonic, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python-fasteners_0.12.0-3~nd100+1_all.deb Size: 14692 SHA256: 0c5c304431fdcd9c91c4d6967b416d0912899d3b799fb3b60607509548c42743 SHA1: 84dc47a34579319adf92251bc37f0abef6f569c5 MD5sum: c35ece3854c2074030c22ba838b26174 Description: provides useful locks - Python 2.7 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 2.7 module. Package: python-filelock Version: 3.0.12-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~) Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python-filelock_3.0.12-1+nd1~nd100+1_all.deb Size: 8212 SHA256: 4429d39686af671a5ba17cfb848c9972a5644573fc75bbe0dc4f6bba4986f3fe SHA1: 9a3344bb2041de4430925dc94d81ecd9a0118b5e MD5sum: c460f3afa1bd8270d215540330746930 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 84288 SHA256: c5357959469fdc74ded339915381ef8b4b23310085c9c2519cf42f0f8523939a SHA1: ae1828d72360b9364dd3de0395fca492cf0084eb MD5sum: 36b211ec8891ac559838de1ac696d4d5 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 75408 SHA256: 7970b4f572d0f97b70ac5e603fac9c3d260f38282eb1a60d29c87c7547c11d22 SHA1: 0ac50da293c6d0e7dbf81677639170f6fc353d17 MD5sum: 9127dcd1be874f7695d5abc26890505c 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 375 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~nd100+1_all.deb Size: 69076 SHA256: 5e90d641332bf9faeae2713e69888f69c12325b9aa3ef002a5e6adbcc750f139 SHA1: b3b15e74b16d8b8cd84791d81e95a7331fd39c78 MD5sum: 1aa0af40996d1f415623ab23858cadd0 Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-git Version: 2.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1654 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.1.8-1~nd100+1_all.deb Size: 303368 SHA256: 6eef740fc676ea9a40c8fb116383eb7d82e2723684420efcebe977986b5d2325 SHA1: 8d15056d098fc781f0a660a13d342a9a6afb6700 MD5sum: c830187684dc735f551d5ffd5131eac1 Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 3.0.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1039 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.3+dfsg) 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~nd100+1_all.deb Size: 131104 SHA256: 3e990cc6f7ac0ddfbb044e7c1c0c55aa40f9eebff6c1a9102abbb091d59e6663 SHA1: 33a792c01e6b44cdc012f1d0c3a76d3fa361e913 MD5sum: 87c0d3cbd0cd0c40dcd466b8fe594b66 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python-smmap (>> 2), python:any (<< 2.8), python:any (>= 2.7~) 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~nd100+1_all.deb Size: 46996 SHA256: 987f25fb2242ff43e00b0b3af1e55acfa2ecd82666485043f3f6a39f2b05f999 SHA1: b68d75a1e0e7fc2c1b796162716b7d04fee471d1 MD5sum: 983e8d9990d1e4dca6abcecba566cb5d 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 807 Depends: neurodebian-popularity-contest, python-jwt, python-requests, python:any (<< 2.8), python:any (>= 2.7~) 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~nd100+1_all.deb Size: 55568 SHA256: 5c35cb9febabb143a49bf83ad80443c9c1898a8f58abc5f47ee303afa2ca354e SHA1: cadd4330beb100eaab69845f07ed79f06968402c MD5sum: 785bc6779ae194e4037bbccaa4eb9de5 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-h5py-doc Source: h5py Version: 2.9.0-6~nd2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1522 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), libjs-mathjax Built-Using: sphinx (= 1.8.4-1) Multi-Arch: foreign Homepage: http://www.h5py.org/ Priority: optional Section: doc Filename: pool/main/h/h5py/python-h5py-doc_2.9.0-6~nd2~nd100+1_all.deb Size: 186620 SHA256: 4a81c970143cb39c11e361e7b561a3dfd3cb4bf37151c600f19544ff5d5e48ae SHA1: cb4f5cc6e8da2d0f7395be3936810b6b31ab67d9 MD5sum: 1996b65ff26b1889dd0b312d13102f07 Description: documentation for h5py HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the documentation. Package: python-httpretty Version: 0.8.14-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 21036 SHA256: 53043152c774e368b9f143ec88f5f294acb2443cf232e400ca2f836f6ef50702 SHA1: e48332307a50a4cb27236483ef029d8070c6e016 MD5sum: 126c0875fb99c2b83e2e2bb37ebb8f46 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, python-enum34, python-attr, python-coverage, python:any (<< 2.8), python:any (>= 2.7~) 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~nd100+1_all.deb Size: 161628 SHA256: 7ba524dc5859ce798f1917f5fceed10727e573c4cfa54386ce49596b5b2264a1 SHA1: 6e415a96396f4b2a5a7597ec6e6f990fbcfa0c14 MD5sum: 39bfaedffdfe6007a2318e4dbad73e38 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1133 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.0+dfsg) 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~nd100+1_all.deb Size: 185532 SHA256: 7ea38003ed417b8f9f675eeceaa71a73265b01dbf01c6b9b3eb253635c8891f6 SHA1: 7bc8207ad30670e06a8c2aa422d155197ba7cc70 MD5sum: 27a6565d794e34233ec49f2de01ef218 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 192376 SHA256: 6c59fc5ca0d905ab3e76379ba376508108e5ab66748c48f4ab0ae1885715392c SHA1: 2d9c5dbc2ba0cd8fbc915570ceaae68a04afdc85 MD5sum: 74725d078d2380801a96860300ced766 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-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python-json-tricks_3.11.0-1~nd100+1_all.deb Size: 24620 SHA256: c96f7343c4447c11a311b17d75728db7e92f6d26710d59261ce70d1dfe79e0ac SHA1: 7c12e119a49c9d4feb0dc37e6ff83fa95a1e5aad MD5sum: 7f0b9066072021f8d87359bd75ff5f59 Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python2 module. Package: python-jsonschema-doc Source: python-jsonschema Version: 3.0.2-4~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 561 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~nd100+1_all.deb Size: 74328 SHA256: 439db829c2f85b41b2d7b79e55ad6e95963917d14dbb49e5526ecd949e2bec3a SHA1: 2aab36bb1124d9215c37228c9309a5e22ae8a25f MD5sum: c2db5ea036ab4bafd31a57f85c8f1a25 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 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~nd100+1_all.deb Size: 24436 SHA256: 216594f30921b5bc47b4b621b6a2276ddcbeee57d3cc7bdccad592527787acaa SHA1: d7762b6b56e778e5a04af8cd979f8efaf51851fa MD5sum: 15ec1ac52ef41a44cb1542d5f5e2af1d 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 238 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~nd100+1_all.deb Size: 38396 SHA256: 63129936e87754af0e3487b7df963a472ebe6558637512bd2bdede84a0f25e43 SHA1: eb41f6b4f57b47770c32f6a58ec393a551eb0768 MD5sum: 86207cee3b61676a928bcd68861a1dbe 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-monotonic Version: 1.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python-monotonic_1.1-2~nd100+1_all.deb Size: 5540 SHA256: c6352cb1064f3234a2926cb83704caae2ed31305f48f353bdc5e06fa29440a56 SHA1: 49f31c28928fa9b999c52d9e90495321dd7a7cf3 MD5sum: c9cdd9579a8a12b91c2f6c82a44acdd1 Description: implementation of time.monotonic() - Python 2.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 2.x module. Package: python-mutagen Source: mutagen Version: 1.38-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 673 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python-mutagen_1.38-1+nd1~nd100+1_all.deb Size: 137992 SHA256: 5d507ed687fc3dc2936565d146928dfa5b5eceb618d50700241ae9008195f63f SHA1: 813325e270a09e2a03e4b99f1284fb821b9a96e1 MD5sum: 6d417d155f18dfafb1490ec71503d26b Description: audio metadata editing library Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. Package: python-mutagen-doc Source: mutagen Version: 1.38-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 989 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Recommends: python-mutagen Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: doc Filename: pool/main/m/mutagen/python-mutagen-doc_1.38-1+nd1~nd100+1_all.deb Size: 123048 SHA256: 28539e9ce72e7577fbeeb318ec6d096aed4204266181a05c093a75f420a5f53e SHA1: f38abae0d0bad5698f758bc7d9901d46cc7cc75a MD5sum: 9bf3a1919101262e90b8d07dcb3ecddb Description: audio metadata editing library - documentation Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package provides documentation for the mutagen package. Package: python-mvpa2 Source: pymvpa2 Version: 2.6.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8605 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.5-1~nd100+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~nd100+1_all.deb Size: 5108916 SHA256: 03f632b8d8ac35bf192ccc12ac62f3120c426b3798ac4ee90a5b5454f4c4c140 SHA1: 1e252903da71a630810a942d6c297e3547aa5ee4 MD5sum: dbecea8fb2a28d26a89d924f9debc275 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20439 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~nd100+1_all.deb Size: 4262684 SHA256: 517f77d048b183044d18c325e63e3c0fee3d1a665cd9bbdb082275fe24553ea4 SHA1: 8763400ca579f84e9e6b656329746eb4531e9532 MD5sum: fc687869c1c2dc900d36f70337973f46 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65854 Depends: neurodebian-popularity-contest, python-numpy, python-six (>= 1.3), python2.7:any, python:any (<< 2.8), python:any (>= 2.7~), 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~nd100+1_all.deb Size: 2666368 SHA256: d041a3bda9a6805cc42d290eb7a647c88c66ab852acfab351a58fa6f86887a77 SHA1: da4e86cd7f90886565c0627293222003c832dfd7 MD5sum: d14b9e13f295d92e269ba298651979a6 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: 3.2.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9685 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: https://nipy.org/nibabel/ Priority: optional Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_3.2.1-2~nd100+1_all.deb Size: 1592504 SHA256: a30b25c1a6f26f3689f79d81c2a5804f074abb685bffa68a37806941cea3561e SHA1: 2720dce0cf028124a7ec3757f0eba3ee17863b7e MD5sum: 8da05c16373c902ac988adb681f68cab 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3550 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~nd100+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~nd100+1_all.deb Size: 782956 SHA256: 06f3a01f3c2353d14406b055bf5b9dc5cdd85d00f2eb896f054a8df269ec0a7b SHA1: 69e3388a5e01dea71e93b045f5c8614c65daedad MD5sum: aaa27cf5f58e048ad1c1b11a9daf3c0d 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: 0.4.2-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9402 Depends: neurodebian-popularity-contest, libjs-mathjax, libjs-sphinxdoc (>= 1.0) Recommends: python3-nipy Homepage: http://neuroimaging.scipy.org Priority: optional Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.2-3~nd100+1_all.deb Size: 1895652 SHA256: af5c908373fb1b0a32a62cd44d5381d493ea8e5175412e926945795397c82c6a SHA1: cc552198c2461c7eead73327ee73b5179079e973 MD5sum: b010b124a487f1c178aa526951837f25 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10997 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~nd100+1_all.deb Size: 1887744 SHA256: 58ae803e04681579f96fc757c25f5d6f593da5a3aaa2b797f5e7087f9aae60b9 SHA1: 0d72dff6b88184fa6eb3234bc561a41750acfe9a MD5sum: cc4bd31ec71b550fffbb11bb8f4c0017 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: 1.6.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13348 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python3-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.6.0-1~nd100+1_all.deb Size: 1282792 SHA256: 91a15d7608a92d0618ebe572ceb2751f1aa81b249ff248eb0860517b7e0619aa SHA1: 7af73c9a0cc0e9ce7abaddf56f06ced53daf7304 MD5sum: 9563e588fc51158b04843376e2fd5594 Description: Neuroimaging data analysis pipelines in Python3 -- 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4210 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~nd100+1_all.deb Size: 2427432 SHA256: caf896c5450997201f22236c2de720a3a8363e8abe106392b50a94d8ec81c523 SHA1: 3a729d24e1aaa1fd8899e39dd7be73bd5e2fa013 MD5sum: a0ef3319355918fb1d8f545135327e02 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-openpyxl Source: openpyxl Version: 2.4.9-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1525 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-et-xmlfile, python-jdcal, python:any (>= 2.6.6-7~), python-lxml (>= 3.3.4) Recommends: python-pytest, python-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_2.4.9-1~nd100+1_all.deb Size: 220668 SHA256: 4e8aa65876033dabd49e049c732e3e664b18b8d6f163320f7042550e9c26f461 SHA1: b44d3c161c94f1c0cd8ac315d93147c9e658d910 MD5sum: 223a3dd20b390d8914073455e858d6ed Description: Python module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-pandas Source: pandas Version: 0.23.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12456 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~nd100+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~nd100+1_all.deb Size: 1743388 SHA256: 4b06f149fbd762ef80c8ed932e969e41b9bf849a3b6b2555137d8d0e211b8c05 SHA1: 3ee538d915b2b74b088c40f46e718987202dc4fd MD5sum: cbcccc5531437eb278a09f7603185bd0 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 18248 SHA256: 178c60b4de0cd21a2ebb2f34e1d143ada74f78922375770c12ed41fa0b750543 SHA1: f0fe6a1c9b366e14727b515bfdc234770bcd1d63 MD5sum: cd317fd2991b41cf38ca134da16a0f14 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 784 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~nd100+1_all.deb Size: 171776 SHA256: b16aef8c82c725cccd3ddde017726fe6869b3568f774b38c41559224cb42b12d SHA1: 5da2a10075d7ad7eb84e7754e4c9e34f72731345 MD5sum: 6841dbbef316c5b648d65a1adb45a540 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1203 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~nd100+1_all.deb Size: 347664 SHA256: e85941ea1a5b8eb309233c453f62601c3a57b376463afeecef100d50045647cc SHA1: 394271e3608accec36af4cb19da6101622c16153 MD5sum: 527c7ce8e3afb2577c4f304d66c71d42 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-pprocess Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-2~nd100+1_all.deb Size: 83128 SHA256: 462bc0c42c190f393fcc893398e8557826d40d475f82b632d744412602c5dbf2 SHA1: ed5b1752b074b1b07bf917acfc27718cf8104d55 MD5sum: 72ad95abbc68b1819379b17a9b0b912f 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-pydicom Source: pydicom Version: 1.2.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 4397044 SHA256: 0dcb1695f80ec993db52fccdbf1adf9cc1e5a18f212b9bd2381ce1258d695170 SHA1: bb925e1d610b01c6eab66b11ad17dd5a4f1e2d8d MD5sum: 560c1793291bdb01922b50a77da0aca7 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2817 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.2+dfsg) 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~nd100+1_all.deb Size: 347136 SHA256: aed39e84d2febb834b8c367ae3d1991c65da140336a82de6a8447efa5ddc37ea SHA1: f92691a20421e4531a1001a87a93d8acc0dc7944 MD5sum: 17ed05088b06597b79407c207a14d783 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 92 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~nd100+1_all.deb Size: 22024 SHA256: 20896d1e86fe4837efe742940f2af8bd6612832076147ad1cec3cb11290c2f99 SHA1: 5fb5ec7e28e3e6094bff136669ad2b16041d7330 MD5sum: 369bd2761538ac467b54af7f0857e91d 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-pyglet Source: pyglet Version: 1.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7027 Depends: neurodebian-popularity-contest, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libgtk2.0-0, python-ctypes | python (>= 2.5), python-future, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: libasound2 | libopenal1 Provides: python2.7-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.3.0-1~nd100+1_all.deb Size: 1422372 SHA256: 5f28dba79e6e13a18e26151271e3577ca94dd273445ae756cdf5008686526442 SHA1: 9453747756db7cfa6ce437416b5ee55941ac8bc3 MD5sum: 8a7e9e456ec90c72951ee9ac9c8c58c2 Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-pynwb Source: pynwb Version: 0.5.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~) Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python-pynwb_0.5.1-1~nd100+1_all.deb Size: 98084 SHA256: 11cf0f68c7a31e909fc1b8ee460a34670143356d7de5114acf83a291cfec9b5f SHA1: 149363498e7d867f06ad3f213e7888b5388f37af MD5sum: 66762c28e7f4c13a986a2eb0141b825c 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 9516 SHA256: 41713a215e6b3f3b690ef4d99029c49b21c24f541fdc399d9d8ab886dc8a0c0d SHA1: dbaded1561784edc15eecac0348c0fe43067934f MD5sum: 7f01308b158183e203937d8a4326ff3f 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-rpaths-doc Source: python-rpaths Version: 0.13-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 121 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.6.4-2) Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: doc Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd100+1_all.deb Size: 23166 SHA256: 5f44599c5525edf4f8c4ec9cdb92f51f7c65846cbc63bb406fa0e1021f030473 SHA1: 30d99593dc7702a3f87c5afad5dc5755ba9d8b39 MD5sum: 9528073147047bf0c977c7814bbbc16d Description: documentation for rpaths rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the documentation. Package: python-scikits-learn Source: scikit-learn Version: 0.19.1-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.19.1-3~nd100+1_all.deb Size: 85632 SHA256: 2ff7657b05849a6faa75c6c81d031028628a574d51d33f819dd17ae8ce4cfcaf SHA1: 942f75c086d6b4ebcfecae2da7ba6fee3f7d3f71 MD5sum: 42cfb3bd06d2cde3ca65e8ab6470a492 Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14656 SHA256: 8636da47795f42e3b91a7cc2339a7d317bd8692162236a4d8097ae442389c2ff SHA1: 0970dc3595e632b0368ab8cfda123d8ec6605762 MD5sum: bb289d18a9932030a9ef09ae64f09ab0 Description: Python 2 and 3 compatibility library (Python 2 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 2 module path. It is complemented by python3-six and pypy-six. Package: python-skimage Source: skimage Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+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~nd100+1_all.deb Size: 19922880 SHA256: b14eb13c664cf2352345746c7bcb9ae3b39e3d2c20c79f6537772e8541d18978 SHA1: cfda7992ebdc8588e9142615b21dcf6441e53dbd MD5sum: d8cbe8c1d6102755eb291937e726988d 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1682 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~nd100+1_all.deb Size: 787384 SHA256: d420aeea97505c5ea519de51b2d75c869628e80a287b84fd5b2e00713643ace8 SHA1: ac0072e071328ad2b78c741ce3954711951e01e1 MD5sum: c75f5676b0f6f9086a9d7523c8dca9a0 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7540 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~), python-numpy, python-scipy, python-sklearn-lib (>= 0.20.0+dfsg-2~nd100+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~nd100+1_all.deb Size: 1517648 SHA256: 4e993aad6af2fc00c1176f7656d48e7c96354348b7e21d2337f148755cd7d7d7 SHA1: 7cb294f523fc5b0f90ae30322308248e7cea4438 MD5sum: 5aedf3922a21dcb590f7c4c898a0eadf 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: 0.22.2.post1+dfsg-5~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1172 Depends: neurodebian-popularity-contest, libjs-bootstrap, libjs-mathjax Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.22.2.post1+dfsg-5~nd100+1_all.deb Size: 235352 SHA256: c857a97bc4831c97a324a9109df0861ef6fe81194ed1d65963af29c13d789047 SHA1: c249b680e5e7a8f027335474ae7c9707ad870e8b MD5sum: 5b6542e0597a92526ddf3056cbfceb57 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~), 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~nd100+1_all.deb Size: 71864 SHA256: b572529179391eefccedb43b3f4501372f080747008d76d2951b2923366ef914 SHA1: 52176b07e527041bf8c3cf5e8ea2e52ad630d9a1 MD5sum: 597986ae7527b471ca8bd7a3dc7f7333 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2610 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~nd100+1_all.deb Size: 1343440 SHA256: a400af74e14178272a88500ce99f288de2886024fc25751f6e4f7ff5b9b2953c SHA1: 8c5ff3f68f2fc87bb6e52c1137628430938b930d MD5sum: 139b6405850e4c33d1f26d4f59f07846 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-statsmodels Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23190 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7~), python-scipy, python-statsmodels-lib (>= 0.9.0-2~nd100+1), python-patsy, python-pandas, libjs-mathjax Recommends: python-matplotlib, python-joblib, python-colorama, python-cvxopt Suggests: python-statsmodels-doc Breaks: python-scikits-statsmodels Replaces: python-scikits-statsmodels Provides: python2.7-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python-statsmodels_0.9.0-2~nd100+1_all.deb Size: 6225616 SHA256: 2e84fe23d6e9b64e20964e04685c623e9c3840971641b680018b750266675c6d SHA1: b526357dbc7fdf45ee010776510209fe28f85155 MD5sum: 3c4e14942235a71df4508ec63ca5fe9e Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python-statsmodels-doc Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 79001 Depends: neurodebian-popularity-contest, libjs-requirejs, libjs-sphinxdoc (>= 1.0) Recommends: libjs-mathjax Suggests: python-statsmodels, python3-doc, python-numpy-doc, python-patsy-doc, python-pandas-doc, python-scipy-doc Breaks: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Replaces: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: doc Filename: pool/main/s/statsmodels/python-statsmodels-doc_0.9.0-2~nd100+1_all.deb Size: 11563124 SHA256: 125e06130c32c5133e8bbbd6b19dd0484e313aa46f8c7efc7050cc8c92475366 SHA1: 78293d28438d0af475af79b4f40df7f933532aa7 MD5sum: ae6a35228c5cac9c254c40a464713252 Description: documentation and examples for statsmodels Statsmodels Python modules are providing classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. . This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 8100 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.27) Breaks: python-scikits-statsmodels Replaces: python-scikits-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python-statsmodels-lib_0.9.0-2~nd100+1_ppc64el.deb Size: 927984 SHA256: 9108ebf3147ef087a209a93c8aa516d076debb512faf0fcc205565f8738fc386 SHA1: 2bac55f5342901def44608805fe208d2617e3fa9 MD5sum: 9eaa69689b973843866750524d2365ea Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-statsmodels-lib-dbgsym Source: statsmodels Version: 0.9.0-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 6951 Depends: python-statsmodels-lib (= 0.9.0-2~nd100+1) Priority: optional Section: debug Filename: pool/main/s/statsmodels/python-statsmodels-lib-dbgsym_0.9.0-2~nd100+1_ppc64el.deb Size: 5945424 SHA256: cf0324f8d711d0d246278b16e871b4458ab77e964402b5a2288b98d4c2835cb4 SHA1: 8857cd3b9624f9cfdcab544f744698138d58d69b MD5sum: 5de247ebd4f5efeb386276d6dcdc9c6d Description: debug symbols for python-statsmodels-lib Build-Ids: 0091bb7a46a796eccd91a90ab32acbddde56833d 1bec7fa04dcb20f2c4005f03b1492d22a0736e24 273f3eb754739a56fbd01f35cb6a36ab55795ed9 2e7b39527527719eb4e14e9814258e016c1d2743 343e166119a6c0298f033f0cf49865cea1be57c6 3874c55eca2aff3f5efd81e2518d356818f2a61a 38befd0b506f57aa2c444b44c8547af9eda515a3 55e74c1385db8a11f7730e3584c285559a2f96c0 5cafd697fafc7d634f4b4016229d7a8e69f4ac37 98a35e95b42889b3850ccdf03d7a07d828e3ef6b 98a518c56dd27d1ef898d8c403c7dfbf3ddee722 add6c3b821c194f97bb5bbfdaa35349ee6312e4f bcc1a0dd260f0e164d684aa028087861ef1d64b4 bdc80e3f8d76bbcb4f238a8268163e4e20e4b60a d5dfcf363940c043893e50582093ffd7cb4aa610 f37de89433a2318caa9bac38da3a6289544ebfc7 f39add80e304dc9f1fe0e598215a3605ba926481 f834d2ed9035a3c3a25b6a2d47b90a517bea2ad5 Package: python-sympy Source: sympy Version: 1.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26373 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~), 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~nd100+1_all.deb Size: 3499996 SHA256: 47f60c144213d3aea7b9672bee6750ae6c9ff68c6b4123e22f796941ce0dd28e SHA1: f02a721100d17fa26f3dd39e1e185da7d84ea689 MD5sum: 05ebd36511a4992702ecf1ab616c6823 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59105 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~nd100+1_all.deb Size: 7252684 SHA256: b62575b3a1c3abe77a7efa25b58d96fc29ab1ecd2229c33c181e6416818ea777 SHA1: a168440d60f1afed01295ef5b16df4d65f8d7cc2 MD5sum: 7010ff3f97ae98085d68a05f0ff7ca31 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-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python-whoosh_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 290690 SHA256: 5cc2d7491e8ab52563aa8a32cdd3a223b78899713b74fbce565c022bba475819 SHA1: 745ce72af3b29abb3e44f83ee80a8fe450908bd9 MD5sum: a4a92bdf70ca01e924e0381d347635b4 Description: pure-Python full-text indexing, search, and spell checking library (Python 2) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python2 library Package: python-whoosh-doc Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2213 Pre-Depends: dpkg (>= 1.17.14) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Replaces: python-whoosh (<< 2.1.0) Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: extra Section: doc Filename: pool/main/p/python-whoosh/python-whoosh-doc_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 241300 SHA256: c28cc15134ac59dfd4c7384e30f72d97f7b263f0e27d7074afb29d953e785352 SHA1: 23d3044711e4074d5e1be14cf7b4cf5d644c2b2e MD5sum: 5d4ab18c7fe2b916a8aea674872b4224 Description: full-text indexing, search, and spell checking library (doc) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the library documentation for python-whoosh. Package: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 465 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: doc Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd100+1_all.deb Size: 54096 SHA256: 10822366a5f3db22842bdf7d8afed9ea1d652808e55feab9edbfb6789a577e58 SHA1: 331cbe7088e3930df7e83f8fbed6b4240fbb4d34 MD5sum: 6ce653342ac130d84062d36d999bef4e 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 448 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~nd100+1_all.deb Size: 86196 SHA256: af3939ef704bdb11b66c158c06a358db171d2e3f34857d2bda2210706bccb792 SHA1: ca058459912f46895218da7442d9658737349176 MD5sum: 326ede8b01e2b78d981b723617236853 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 252 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~nd100+1_all.deb Size: 55360 SHA256: d4a7fbc9443dafb847ea77d47766a541fcc994d9a9eea3fee8199ecf6099f17c SHA1: f2161d05680297afe8acb21428834b9b85f50492 MD5sum: 4acf276cc8acdba2a61a08941a3bceaa 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 71 Depends: neurodebian-popularity-contest, python3-future, python3:any Homepage: https://github.com/Lykos153/AnnexRemote Priority: optional Section: python Filename: pool/main/a/annexremote/python3-annexremote_1.4.3-1~nd100+1_all.deb Size: 13900 SHA256: 02526635fc490c79f3954798a0672c2f70218f7e89a7b571c4182787b5892535 SHA1: 47f307a9412eff9172b996373e5317f32f8916a1 MD5sum: 9429c34ce09d32a9d21cc3dca90dbadd 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-argcomplete Source: python-argcomplete Version: 1.12.3-0.2~nd100+2 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, python3:any Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python3-argcomplete_1.12.3-0.2~nd100+2_all.deb Size: 34804 SHA256: 2109f5f30cbe414f2d32520b500b94b1fd6e58eabcf1a8672a2d4432d312cb3c SHA1: a78fc1302d031efc800ea47cbabac7d173a6430e MD5sum: 2afbb149a6f4e3d76d71caf798fa67eb Description: bash tab completion for argparse (for Python 3) Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 3.x. Package: python3-babel Source: python-babel Version: 2.6.0+dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 418 Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd100+1), python3-pkg-resources, python3-tz, python3:any Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python3-babel_2.6.0+dfsg.1-1~nd100+1_all.deb Size: 96904 SHA256: 49508f2f4e2be1c89533d545d756e420e4130c0e9a6103375e64e0d1f7ab62d6 SHA1: 94450680b3fa1111edc1b39c96fc980e862bc582 MD5sum: 393656dfaf2c0494b64d77a257d975dd 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 739848 SHA256: 9268d6d9278fad94841f73d2727644f8177924a6e880c21b164f6ca57d74581f SHA1: f9635a14f7e4b578683a9a3e7b749c711383a87f MD5sum: ee17cd0fc3cc23de0060c05351cf32b8 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python3:any (>= 3.2~) Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python3-bz2file_0.98-1~nd100+1_all.deb Size: 8008 SHA256: 5625c9b608636a96be3a11ec702a862953e227633175b10e323a59adcfc42dfe SHA1: 971a9248e867b5dc436ef6f183b8f6038a7bf584 MD5sum: 3495fdeb2e20e1e2a6748ae04580e675 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-chardet Source: chardet Version: 3.0.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python3-chardet_3.0.4-1~nd100+1_all.deb Size: 80348 SHA256: 522a3aeb3a9f897846100a28e413315e8c3333ae5562f943f4866a85d16475bf SHA1: 9f0472dc9464a85946637b60282774c655504278 MD5sum: 8ee24e5f20283c2e1149406753ee49bb Description: universal character encoding detector for Python3 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. . This package contains the Python 3 version of the library. Package: python3-datalad Source: datalad Version: 0.18.3-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4413 Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, p7zip-full, python3 (>= 3.7), python3-annexremote, python3-distro, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3 (>= 3.10) | python3-importlib-metadata (>= 3.6~), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-mock, python3-msgpack, python3-pil, python3-appdirs, python3-requests (>= 1.2), python3-secretstorage, python3-six, python3-typing-extensions, python3-tqdm, python3-chardet, python3-packaging, python3:any Recommends: python3-boto, python3-exif, python3-html5lib, python3-httpretty, python3-jsmin, python3-libxmp, python3-lzma, python3-mutagen, python3-pytest, python3-pyperclip, python3-requests-ftp, python3-vcr 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_0.18.3-2~nd100+1_all.deb Size: 882796 SHA256: 16cb538460f26ad5d6ccc65160ea2c2864ca3a3ff34065b8dae8445884be951f SHA1: 81286771fb6e2913fd1accf61de7bfe40e671991 MD5sum: de75afecae71e0a5f2df7ac54826b46d 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 521 Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3-pydicom, python3:any, 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~nd100+1_all.deb Size: 79008 SHA256: 8ead58e7ea4ea3ef946878abce9f32f75046e1be59c6828de1ecceb1de7f7915 SHA1: 2b738e51f295b8d67997a14643a1deaf43aa3b72 MD5sum: 48e87800bf49ee007f312ced7cb073d2 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-deprecation Source: python-deprecation Version: 1.0.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python3-deprecation_1.0.1-1~nd100+1_all.deb Size: 8596 SHA256: 38f3c2612821fcdacb00c8cc3f989eae7de795ec0fdb1da37852d63f42a53165 SHA1: 9a0de8682c76adb53d793344c10f5fd2097fb82f MD5sum: 8f6d58401d74dcb28e2e4ff103a7c2a7 Description: Library to handle automated deprecations - Python 3.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 3.x module. Package: python3-dicom Source: pydicom Version: 1.2.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 4896 SHA256: 67f234ea6fb20894e5be1053ce981379addde8b0fcd3a9e100bf583445fdb653 SHA1: d59ad68ee545639807363fba1bdebeb17ac82ab6 MD5sum: f13069137bac47e13e48b2805ebe99b8 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 209 Depends: neurodebian-popularity-contest, python3:any Homepage: http://www.grantjenks.com/docs/diskcache/ Priority: optional Section: python Filename: pool/main/d/diskcache/python3-diskcache_4.0.0-1~nd100+1_all.deb Size: 33656 SHA256: 5d83c199571073de5ff74e34d3ca5ba91d8b3c1ff8076807029d928914ad32e5 SHA1: 901c8316a44e98b58312416228ee177386cef7db MD5sum: 5fa4286eb0d531b50cfdff8ce64d84cf 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-distro Source: python-distro Version: 1.3.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: neurodebian-popularity-contest, lsb-release, python3:any Homepage: https://github.com/nir0s/distro Priority: optional Section: python Filename: pool/main/p/python-distro/python3-distro_1.3.0-2~nd100+1_all.deb Size: 14560 SHA256: 334700235ac842bd5458f8a5220bba9a3e92ab910b9f9275b418460aabd76209 SHA1: 8b3df1da09b0fd3b736caa36748679600f9b940d MD5sum: 652cc5490505b69406a3d5dbc82f0f8d Description: Linux OS platform information API distro (for: Linux Distribution) provides information about the Linux distribution it runs on, such as a reliable machine-readable ID, or version information. . It is a renewed alternative implementation for Python's original platform.linux_distribution function, but it also provides much more functionality which isn't necessarily Python bound like a command-line interface. . This is the Python 3 version of the library. Package: python3-duecredit Source: duecredit Version: 0.8.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 256 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.8.0-1~nd100+1_all.deb Size: 58656 SHA256: 94b0c5a12fa099d7a6a4b17e63fe6d9078d872fc0810cd7ef1da2b39b40da29e SHA1: 8c6b7728bb52a5200cd7876e3ad6c00cd73f8a8f MD5sum: d4cbecaa036146a50671d02063f4a4e8 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-etelemetry Source: python-etelemetry Version: 0.2.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3-requests, python3:any Homepage: https://github.com/sensein/etelemetry-client/ Priority: optional Section: python Filename: pool/main/p/python-etelemetry/python3-etelemetry_0.2.0-2~nd100+1_all.deb Size: 6188 SHA256: ac39f5ab56ebd365ac8032c72a8e070003b66576acf8ac23508b5b1564c13380 SHA1: de2cd4c37b3942b1ff0671efd8c839fb90350f37 MD5sum: de4920e0e98f8f8b9ef831a87dd7b5da Description: lightweight Python3 client to communicate with the etelemetry server This Python3 package provides a lightweight Python3 client interface to communicate with the etelemetry server. It can be used for nipy or nipype. Package: python3-exif Source: python-exif Version: 2.1.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 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~nd100+1_all.deb Size: 31008 SHA256: d4a63af1815717447f09a0126a0ecf9dd96d0d4c4941ebf2e32354b1dd4a2536 SHA1: a1e5db281b9e41c27c912bd5c2ee1d4a39e19eca MD5sum: c5ebe42edc8d50bb5059a1bdcf8b1d88 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, python3-monotonic, python3-six, python3:any Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python3-fasteners_0.14.1-2~nd100+1_all.deb Size: 15436 SHA256: ce8bf25a97196842cd7c1e8b953fa501cec1b710d36a225105764ee4b42c6fe7 SHA1: 8c97789f0273b41252984f79c7984f00310e11bd MD5sum: 6116541bcba5dce2f3c06b0f61c1c9c0 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python3:any Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python3-filelock_3.0.12-1+nd1~nd100+1_all.deb Size: 8292 SHA256: 8ec72322b28f30857677ec756d834c5bb77e7c8e7e03061c9c17426583342b6b SHA1: 9881006d10b73aa4d8f022e7ce2eb9bab45cd3e9 MD5sum: d675a3ff2f54dd225219610526fb05ad 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 84252 SHA256: 67159a32fce9ea4be977bacce518c1e83a3576433fd764fa41830fc2f50c1697 SHA1: 29a49a7dc03d4a5cf96ecb850d6f94a4f7afb98f MD5sum: cd34c39d84de6b9f722e245771c73f85 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1679 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any 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~nd100+1_all.deb Size: 307804 SHA256: 2fb83db9ef3f2554da69175bc4a5e4ba78e7affb69972ecadf4c506ea26e5bd4 SHA1: 67b745377730548d096ff42c3a61ec667dfad2fa MD5sum: 23942e757f0fc8a9149c553e7d4373ee 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python3-smmap (>> 2), python3:any Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python3-gitdb_2.0.6-1~nd1~nd100+1_all.deb Size: 47088 SHA256: b00593035374f73c15351725def0bafb3b772a95323e92a684f6a333d0299226 SHA1: c88d3cb01a83fe396e602fe324c249499fbea12f MD5sum: 8ad7bcaadc4159c78280f432f5f0e24f 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 916 Depends: neurodebian-popularity-contest, python3-jwt, python3-requests, python3:any 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~nd100+1_all.deb Size: 64640 SHA256: f8bf4a49a4ecf0a968a195a02262695385b741f720a659af1160b413ebeb45ea SHA1: 5629169cf418646ad42cba26c4367a709fc33634 MD5sum: 48ed30b79faf7351aacfe9c7013051b3 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 392 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py, python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any, 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~nd100+1_all.deb Size: 63640 SHA256: 960ee4b575221d3f1db30634c1f1eae50877fa468b6a2f653fb3ffd0daad1643 SHA1: a0ba25b20e95b73d7a651233afc9938aa840e124 MD5sum: 21dab5c693204909ae17ac3212b8642d 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, python3-six, python3-urllib3, python3:any Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python3-httpretty_0.9.5-6~nd100+1_all.deb Size: 20228 SHA256: 229ab49af6af42408a3295b753ebc18e56623d89c44f318418b638d4b780747a SHA1: 5c94b350d6f114744bd268b27fae551ba209f59e MD5sum: c55b64d535ec9da6ec0ca4a97df0a7ca 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, python3-attr, python3-coverage, python3:any 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~nd100+1_all.deb Size: 161720 SHA256: dc532bd0b80f03f9efe2b8f7d94d53176eca07592f2b9db0d0e22d7249fbdd61 SHA1: 102fd77f97582afa3d901829e9cfc4f352873fa0 MD5sum: e937e548193190944aa4f7fa2a8a4427 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: 4.6.4-1~nd4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 75 Depends: neurodebian-popularity-contest, python3-zipp, python3:any Homepage: https://github.com/python/importlib_metadata Priority: optional Section: python Filename: pool/main/p/python-importlib-metadata/python3-importlib-metadata_4.6.4-1~nd4~nd100+1_all.deb Size: 22908 SHA256: 24b16469d16179491b7ce82fef4a721240db300c785413c4dc2c7018952c698c SHA1: 4a086acfa93a3f90c3235a717131059652eb77b5 MD5sum: 3adba0be3c3d7be5b02079c2a1cf74ea 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-importlib-resources Source: importlib-resources Version: 5.1.0-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, python3-zipp, python3:any Homepage: https://github.com/python/importlib_resources Priority: optional Section: python Filename: pool/main/i/importlib-resources/python3-importlib-resources_5.1.0-1+nd1~nd100+1_all.deb Size: 18564 SHA256: 795052a288d65a8d6dbebad60624411157800f720917237c0d3fa466ebdf8504 SHA1: 8080b77e0121c0359f5fe5b0f19c8763cf37f362 MD5sum: fcbd1f6a41c22f4d3ad0623017bc9d2c Description: Read resources from Python packages importlib_resources is a backport of Python standard library importlib.resources module for older Pythons. Users of Python 3.9 and beyond should use the standard library module, since for these versions, importlib_resources just delegates to that module. . The key goal of this module is to replace parts of pkg_resources with a solution in Python's stdlib that relies on well-defined APIs. This makes reading resources included in packages easier, with more stable and consistent semantics. . This library provides two very simple decorators that document the publicness of the names in your module. They keep your module's __all__ in sync so you don't have to. Package: python3-joblib Source: joblib Version: 0.13.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 870 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), 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~nd100+1_all.deb Size: 189416 SHA256: b1e9a4dbd4d95c469dc6c4b23d6d4cbd0829a8a81929647a1396ffca7758047a SHA1: b247a07c03b05e017f6f3573d790886b60950e3e MD5sum: 6932b77be2473458bdf2ee9f6258fb28 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-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python3-json-tricks_3.11.0-1~nd100+1_all.deb Size: 19008 SHA256: 0e43d77ac827571f7500dd681bf53cba19a0e97188df3507b573ae215afdaad8 SHA1: 5eb4b0e9fbe2c6e0a853a6127b015e55140cf268 MD5sum: 4229637f18150ff3f44ab0889a9f0e9c Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: python3-jsonschema Source: python-jsonschema Version: 3.0.2-4~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python3-attr, python3-pkg-resources, python3-setuptools, python3-six (>= 1.11.0), python3-pyrsistent, python3:any 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~nd100+1_all.deb Size: 45172 SHA256: ddffafa631a4b5745aef8e2fedcb7edbb2660bee9a4fd88ba3dcd0776de22593 SHA1: aace5265a23c8a4d085c20d352a8cfc34fb76895 MD5sum: 35e8bd4d65151b1b6f3ec4d3ae7e2b32 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 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~nd100+1_all.deb Size: 24528 SHA256: cb0fb73fcd75b749ba75f2da0bef79e8f9257db966286fe5fd0f0237ee60c997 SHA1: 7b1f4320c9c5e6f44fb99e90727091f6c347c5a8 MD5sum: 4a7389bbb4c8544f17745b170a80fb9e 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-monotonic Source: python-monotonic Version: 1.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python3-monotonic_1.1-2~nd100+1_all.deb Size: 5612 SHA256: 67a291afe28a065d26ad8f45fb589136c5ad02cab82bfce5109e0c73449680ee SHA1: 67bd0697997bd72aa4f8a2b098b6f3bf316bd2fd MD5sum: dc9d9e0b121d8c3ce50ef215d11a2c1b Description: implementation of time.monotonic() - Python 3.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 3.x module. Package: python3-mutagen Source: mutagen Version: 1.38-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 654 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python3-mutagen_1.38-1+nd1~nd100+1_all.deb Size: 131992 SHA256: 1b0542d2b6a651c704624141f71fcb23df704d912f7a7bacfa0a9fb54e3a6518 SHA1: e47f1a4b9bd5403a99924feea12a6bcb5b16ee0f MD5sum: 15411f14e9f8031e6d9d583d07162044 Description: audio metadata editing library (Python 3) Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package is built for Python 3. Package: python3-neo Source: neo Version: 0.7.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3485 Depends: neurodebian-popularity-contest, python3-numpy, python3-quantities, python3:any 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~nd100+1_all.deb Size: 1309380 SHA256: b7b0d143a0b8bec85bf6771120ebb3f285cf7e0987b9bf25f3582c8d90c1166c SHA1: 31a74f7a8d56595e319ef86acb967463e9bc65d1 MD5sum: 35541317186cefed819d003f94bccce4 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: 3.2.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65983 Depends: neurodebian-popularity-contest, python3-numpy, python3-packaging, python3:any, python3-scipy, python3-six Recommends: python3-pydicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Breaks: python-nibabel Replaces: python-nibabel Homepage: https://nipy.org/nibabel/ Priority: optional Section: python Filename: pool/main/n/nibabel/python3-nibabel_3.2.1-2~nd100+1_all.deb Size: 2706920 SHA256: c970b1e33d4400fe7f1a53809b4816a40214969da02d39c2542c0e57ccefcb20 SHA1: 05eb78779b4ec56cb7e3c08cc9a7140c97d288ba MD5sum: a8bf3995b99b3e2a30c5ec26d4409880 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-nipy Source: nipy Version: 0.4.2-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3551 Depends: neurodebian-popularity-contest, python3-numpy, python3-nibabel, python3-scipy, python3-sympy, python3:any, python3-nipy-lib (>= 0.4.2-3~nd100+1) Recommends: python3-matplotlib, mayavi2 Suggests: python3-mvpa Breaks: python-nipy Replaces: python-nipy Homepage: http://neuroimaging.scipy.org Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy_0.4.2-3~nd100+1_all.deb Size: 786316 SHA256: 7f1c56b3b5daa098eb573691cb8e9f13753db982ce188cec7765277093d4d932 SHA1: b8167ae75d981f8d3dbd13e01df337c080173a22 MD5sum: f3fa2f5c753c8bf8f94847ddf3727d90 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 Package: python3-nipy-lib Source: nipy Version: 0.4.2-3~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 3537 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.7~) Homepage: http://neuroimaging.scipy.org Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy-lib_0.4.2-3~nd100+1_ppc64el.deb Size: 571288 SHA256: b404611793f3cc1a884eda37b59685a8e7e8e611498531102d8a4f782d888342 SHA1: 3a1b19d12fb6516f70f3f2e3e34531c181392bfc MD5sum: 7f4b077324cf28a917a615bb311e428e Description: Analysis of structural and functional neuroimaging data (compiled modules) NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Package: python3-nipy-lib-dbg Source: nipy Version: 0.4.2-3~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 17560 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-dbg (<< 3.8), python3-dbg (>= 3.7~), python3-nipy-lib (= 0.4.2-3~nd100+1) Homepage: http://neuroimaging.scipy.org Priority: optional Section: debug Filename: pool/main/n/nipy/python3-nipy-lib-dbg_0.4.2-3~nd100+1_ppc64el.deb Size: 5253104 SHA256: 9028f2addd5e2beab7f22c0150f9816fe856fa2483a902728c92cb2f860b5aaf SHA1: 976ae62977d9ed1f3981a09cd9627849fc6aa507 MD5sum: 82d03925ee676830aa34d501ca16f288 Description: Analysis of structural and functional neuroimaging data (debug symbols) NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Build-Ids: 259d8aeb80a79caca502ed9a18188154057cb21b 3161a69244eac1624a83f76bc94e90568ffa959b 6fc1592de571f93e606a787993e2ea2c9b1935e7 8323342dbc609f886125c3dbbfdbce5746def409 8c4f65fa5af39f44bcf2d5768e42dac921e85a6a 9655b063ce54611d5bfe34d5e421e954d70ed25c 97f6b191bd44da320b24d4e873280bfc13fe3342 9e34457f3996b1f4b581a3d053ed019751e6cdbf a732159d24e0fa0ad49b501170bfd227970e972d a7d3dc3093796d98c82e10334512ce849cae4e0c e1d2ce64d2c2f129cce5f5f7b5b588385f88c0f5 ec9a5ebbadb880216e7c1119e59fe72952cf1a24 f1df9aa2a1de7918804d6952b6810c130f112ade f8a6448bedbf0cab52aa0bb150a20bb4ab9c07f8 Package: python3-nipype Source: nipype Version: 1.6.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10712 Depends: neurodebian-popularity-contest, python3-click, python3-dateutil, python3-etelemetry, python3-filelock, python3-networkx, python3-nibabel, python3-numpy, python3-packaging, python3-prov, python3-rdflib, python3-scipy, python3-simplejson, python3-traits, python3:any, python3-funcsigs, python3-future, python3-psutil Recommends: ipython3, python3-pytest, graphviz, python3-xvfbwrapper, mayavi2, python3-mock, python3-pydotplus, python3-pydot, python3-cfflib Suggests: fsl, afni, python3-nipy, slicer, matlab-spm8, python3-pyxnat, mne-python, elastix, ants, python3-pytest-xdist, python3-bids Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python3-nipype_1.6.0-1~nd100+1_all.deb Size: 1836984 SHA256: dd08506dfffb796b189b59d6532ecc241222f2a8f89bf23c9c54c67019e486e2 SHA1: 9d767d71c918bef24e39244d34ba4457e7393ce1 MD5sum: 3980179f66f950800b7abac0b8146180 Description: Neuroimaging data analysis pipelines in Python3 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: python3-nitime Source: nitime Version: 0.8.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9380 Depends: neurodebian-popularity-contest, cython3, python3-matplotlib, python3-networkx, python3-nibabel, python3-numpy, python3-scipy, python3:any Recommends: python3-nose Homepage: https://nipy.org/nitime Priority: optional Section: python Filename: pool/main/n/nitime/python3-nitime_0.8.1-2~nd100+1_all.deb Size: 2547128 SHA256: a7637a44edaa7cf81e8f8a1213f98d93a9197cecca5522d9ca6b2b9b7b3afbb6 SHA1: 6acb1a4e99e406e8efdfbc6454909a0b472bae59 MD5sum: 779f9054c3cd04557031f00c82d96ea3 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-openpyxl Source: openpyxl Version: 2.4.9-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1521 Depends: neurodebian-popularity-contest, python3-et-xmlfile, python3-jdcal, python3:any (>= 3.3.2-2~), python3-lxml (>= 3.3.4) Recommends: python3-pytest, python3-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.4.9-1~nd100+1_all.deb Size: 219800 SHA256: cf84414c643ec01e0d1f0360e45d678ac64bb53716e6db66d53060b5227c6534 SHA1: f569f96d65fcccea2dbcfe0ae5e788131f192665 MD5sum: 8f98516a032c8680e2cffbd136217f20 Description: Python 3 module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python 3 module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python3-pandas Source: pandas Version: 0.23.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+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~nd100+1_all.deb Size: 1743120 SHA256: d75b05c7857a2a4bee67867b1c6dfdffe8279bb5f06e9d07f253dbcab356410c SHA1: 7225cd1f7152443ee99fd95810d14ae0831677a2 MD5sum: 7b96362ea67fafc1b3608f8db484a6ef 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 783 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.2~) 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~nd100+1_all.deb Size: 171840 SHA256: a1377d9c8423939f0e82c2bff55ee7e0d54402c0e23bdc4c1628d2b91a008192 SHA1: f86847c6f32d8fc4ec12a8c8a908180328fa8b5b MD5sum: 03a9f38610c07621c57f8227e381766f 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14179 Depends: neurodebian-popularity-contest, python3:any 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~nd100+1_all.deb Size: 4396788 SHA256: 873c76dc5f2428024e74a47f87b78330dd31afee070c92b30caea1ce1f8b5c7a SHA1: ed39ebb196e0c02983e490b2143d69413030e613 MD5sum: f85079bf909aa82be6916601d1844b4f 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 90 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~nd100+1_all.deb Size: 21468 SHA256: 546173f18951e966f616f08aeb9482e29ee8dbae05b55c478ed33d7a8fa68146 SHA1: 30d11a3f0176a0eacb71cd4c2ea8dc90a5c95a10 MD5sum: a67a0354d4b5e3ca415cb8161b34cce6 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 991 Depends: neurodebian-popularity-contest, python3:any Homepage: http://pyfakefs.org/ Priority: optional Section: python Filename: pool/main/p/python-pyfakefs/python3-pyfakefs_4.3.3-1+nd1~nd100+1_all.deb Size: 130288 SHA256: caccf87f5f10af15f9ee7e0d7fa7a7a706f1bd4faf5ffb63447b626e847bbe9e SHA1: 0d9777b287d1b467994a45905e16ac436f26f7a7 MD5sum: b45e50d6e34fdc2d1284df539e11dd2d 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-pyglet Source: pyglet Version: 1.4.10-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5249 Depends: neurodebian-popularity-contest, libavcodec58, libavformat58, libavutil56, libfreetype6, libgdk-pixbuf2.0-0, libgtk2.0-0, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libswresample3, libswscale5, libx11-6, libxext6, libxi6, libxinerama1, libxxf86vm1, python3-future, python3-png, python3:any Recommends: libasound2 | libopenal1, libpulse0 Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python3-pyglet_1.4.10-1~nd100+1_all.deb Size: 1090904 SHA256: 53816b77da7ac62ad4f396735bd6713a0b53109ce5a5c3d0821c45e7d9db6419 SHA1: 9cab4cef3129551ac2970a912ba24a7d0a67591b MD5sum: 4c61a3e073d8ec8245b52773358dd372 Description: cross-platform windowing and multimedia library (Python 3) This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. . This is the Python 3 version. Package: python3-pynwb Source: pynwb Version: 1.0.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 424 Depends: neurodebian-popularity-contest, python3-chardet, python3-dateutil, python3-h5py (>= 2.7.1), python3-hdmf, python3-numpy, python3-pandas, python3-ruamel.yaml, python3-six, python3:any Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_1.0.3-1~nd100+1_all.deb Size: 60480 SHA256: 4726c4515aa243503f353512dcc161392753eacb46beb09e2b2cdac2d5c8a0d3 SHA1: f0b6871219fe7d3bd8cb83c12654379adb01f4f8 MD5sum: f19722ec8f0205b913bbba5a20bc95b6 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 9628 SHA256: 52ae6a83b076e4a4ebead3cb57a5136eead2cfc8e78c970c1431dac328e9c44f SHA1: 84d01a62d907fbd4522f66068af483c545c64c04 MD5sum: 4bd90462085a393529d3abda6ee6e319 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-pyrsistent Source: pyrsistent Version: 0.15.5-1~nd1~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 285 Depends: neurodebian-popularity-contest, python3 (<< 3.8), python3 (>= 3.7~), python3-six, python3:any, libc6 (>= 2.17) Multi-Arch: same Homepage: https://github.com/tobgu/pyrsistent/ Priority: optional Section: python Filename: pool/main/p/pyrsistent/python3-pyrsistent_0.15.5-1~nd1~nd100+1_ppc64el.deb Size: 59460 SHA256: 6fcc08584cf4162349ea163f5bf62a5d31268ad6e5eed9f73ff79d7cbdb1bfce SHA1: c19ae68373f422b95ed62dabe8a208758ee3a654 MD5sum: f57fb82e878e50d66ed95976f9c82cf1 Description: persistent/functional/immutable data structures for Python Pyrsistent is a number of persistent collections (sometimes referred to as functional data structures). Persistent in the sense that they are immutable. . All methods on a data structure that would normally mutate it instead return a new copy of the structure containing the requested updates. The original structure is left untouched. . The collection types and key features currently implemented are: . * PVector, similar to a python list * PMap, similar to dict * PSet, similar to set * PRecord, a PMap on steroids with fixed fields, optional type and invariant checking and much more * PClass, a Python class fixed fields, optional type and invariant checking and much more * Checked collections, PVector, PMap and PSet with optional type and invariance checks and more * PBag, similar to collections.Counter * PList, a classic singly linked list * PDeque, similar to collections.deque * Immutable object type (immutable) built on the named tuple * freeze and thaw functions to convert between pythons standard collections and pyrsistent collections. * Flexible transformations of arbitrarily complex structures built from PMaps and PVectors. Package: python3-pyrsistent-dbgsym Source: pyrsistent Version: 0.15.5-1~nd1~nd100+1 Auto-Built-Package: debug-symbols Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: python3-pyrsistent (= 0.15.5-1~nd1~nd100+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/p/pyrsistent/python3-pyrsistent-dbgsym_0.15.5-1~nd1~nd100+1_ppc64el.deb Size: 38408 SHA256: 58b838cebe0a9bda4e3c38a5a6721146d0a19c5f43e5198805029add6df03594 SHA1: 121d495d93e08f1566dda07084d1aa6cace589a3 MD5sum: 355277efc3ce18d133e43e87ba65ff35 Description: debug symbols for python3-pyrsistent Build-Ids: 327ab82d8635338889ac8e4f6dd1eadbc3dd5fba Package: python3-pyxid Source: pyxid Version: 1.0-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest, python3-serial, python3:any, python3 Homepage: https://github.com/cedrus-opensource/pyxid Priority: optional Section: python Filename: pool/main/p/pyxid/python3-pyxid_1.0-4~nd100+1_all.deb Size: 10992 SHA256: a4ec1669471987941ae5c5c284164fde8b600fe7433a3ad8332b2c4cf9a17d6f SHA1: 94f69caa36aa20323f4dd6f46ce84f58adbe730c MD5sum: 63034f98b82c5ba5e506b4b03acb184a 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: 0.12.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 355 Depends: neurodebian-popularity-contest, python3-numpy, python3:any Suggests: python3-unittest2 Homepage: https://packages.python.org/quantities/ Priority: optional Section: python Filename: pool/main/p/python-quantities/python3-quantities_0.12.4-1~nd100+1_all.deb Size: 57468 SHA256: 26a15df6b1add6ad6465f3c9b982aebdd14f9d79ae284e83e850c65b69acf3a7 SHA1: 85d69510c8b6f548a6a367023869925237e67d5f MD5sum: e2504358cc012051203434d68723f77c 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-rpaths Source: python-rpaths Version: 0.13-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-rpaths-doc Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: python Filename: pool/main/p/python-rpaths/python3-rpaths_0.13-1~nd100+1_all.deb Size: 14212 SHA256: 87303fb518107aaad34ec79f4a2b9aa16dfc6b60b09628e44767a97d8ddc1255 SHA1: af29d93ed958a6d422863e275776e10056a5be18 MD5sum: 055af8aab5118410df338b2ca343032b Description: cross-platform path manipulation library for Python rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the modules for Python 3. Package: python3-setuptools-scm Source: setuptools-scm Version: 5.0.1-1.1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, python3-distutils, python3-pkg-resources, python3:any Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python3-setuptools-scm_5.0.1-1.1~nd100+1_all.deb Size: 31572 SHA256: 365af1901485c4722d3f0815d20dd2621c5e94424a305c82df89ce3a442f0981 SHA1: a2e7b0b3057c68dea3630c5ba87d29e0f0e72fd1 MD5sum: 12ea8eb7339b22170cb7b2d8064b1345 Description: blessed package to manage your versions by scm tags for Python 3 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 3. Package: python3-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14734 SHA256: fe098a5b0a58b9e56dce648d68194e7893157756bbbc1ab3cfa38f1c677c7956 SHA1: cc73271ad6a5f7760b677ffe3c02776756e40c13 MD5sum: b303fc751f272623c6bab1a3c92cb20c Description: Python 2 and 3 compatibility library (Python 3 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 3 module path. It is complemented by python-six and pypy-six. Package: python3-skimage Source: skimage Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+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~nd100+1_all.deb Size: 19932184 SHA256: e970af728b776982934dcadd54e76fd1d40228f5bf939de5bb7994e1094e9007 SHA1: d5d2dbdb932fea73abba89e25ccde7f71134d21e MD5sum: 39562a5e71fa9f586d2c956c6f7bdd4d 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: 0.22.2.post1+dfsg-5~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8984 Depends: neurodebian-popularity-contest, python3:any, python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.22.2.post1+dfsg-5~nd100+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_0.22.2.post1+dfsg-5~nd100+1_all.deb Size: 1784884 SHA256: 85e4c75ade099d229e7a072cba3ad016b84fe474707171972eb80dad9176d512 SHA1: 4718eb90414b1b7869e0fd125a3afdc8c7adf802 MD5sum: 24c7e12dc29fc8589877fcd8052873d8 Description: Python modules for machine learning and data mining - Python 3 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python3:any, 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~nd100+1_all.deb Size: 71956 SHA256: 3d9e9c49a95e6ad725108c7d90d4cf3cf0908e8c98760649a4702e6b4aaaa14a SHA1: bbe7dd83647e0e7210c0a5c4d3b543d1b2726bb8 MD5sum: cd4bf97c721b9106e0d1c99672f586ef 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: 0.3.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest, python3-pbr, python3-sphinx, python3:any Homepage: https://github.com/sphinx-contrib/apidoc Priority: optional Section: python Filename: pool/main/p/python-sphinxcontrib.apidoc/python3-sphinxcontrib.apidoc_0.3.0-2~nd100+1_all.deb Size: 8048 SHA256: 7a5803b6189625f206aa0b222ea3b5a878910829c657ed2cb2fd1888170375a0 SHA1: 27a9c2e1c352b54ee3eaed1a7c040b4fabd9c2cb MD5sum: 87e8a0c1e717fbb598f9540c0935e855 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-statsmodels Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 18198 Depends: neurodebian-popularity-contest, python3-numpy, python3:any, python3-scipy, python3-statsmodels-lib (>= 0.9.0-2~nd100+1), python3-patsy, python3-pandas Recommends: python3-matplotlib, python3-joblib, python3-colorama, python3-cvxopt Suggests: python-statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python3-statsmodels_0.9.0-2~nd100+1_all.deb Size: 3426700 SHA256: 4e273ead9dc895dc7bb5cb2991d42a4e580f58c9980248bd4ffae9f2dd05ef67 SHA1: ff375d56e7afcabc00ea4e0ff12960c7d11c7082 MD5sum: 65c3593e5cc4b2c864698d0d6c3d85ae Description: Python3 module for the estimation of statistical models statsmodels Python3 module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python3-statsmodels-lib Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 8044 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.7~), libc6 (>= 2.27) Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python3-statsmodels-lib_0.9.0-2~nd100+1_ppc64el.deb Size: 920388 SHA256: a6273398ee567f1ae5de38d5ce79c8b92655cc4ba02a07beadca0db730c966f6 SHA1: abd04afb7bc4d15f03641890160aec6d17538154 MD5sum: 3aa73710fa9a3dbbbc2482ff0238f743 Description: Python3 low-level implementations and bindings for statsmodels Statsmodels is a Python module for the estimation of statistical models . This package contains architecture dependent extensions for python3-statsmodels. Package: python3-statsmodels-lib-dbgsym Source: statsmodels Version: 0.9.0-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 7738 Depends: python3-statsmodels-lib (= 0.9.0-2~nd100+1) Priority: optional Section: debug Filename: pool/main/s/statsmodels/python3-statsmodels-lib-dbgsym_0.9.0-2~nd100+1_ppc64el.deb Size: 6651700 SHA256: b39ccafb1e745c7efd8ea6b8d934ae995d30389c9bc05fedc654f7b45fcac816 SHA1: e3bf2ba0e4cdfc0bc7be42315aa0ab367ce445fd MD5sum: d1f25a6816a845d9b24b7fb7070a8101 Description: debug symbols for python3-statsmodels-lib Build-Ids: 1ba01d64805d8e990bbafa46402e904f9c3ed9c2 492f6355a70ca43241020e3fa450dbe34f450dd7 76d43f1d1065a4585dcca3ba0109ebcadb79dffe 8408a271eb67bd6806d7ec69c78f00e467654b03 87066a9fdc3c1c259edbba422e98f5d198988402 91bc23afbfbee33ad4a4e4544639c63faa3c83a3 9e9972e3739fb789cceae207956ff4132142831d a1f69546babb58c096131d73d68ea1049cff6268 af7aeff1fa11e25e8904e0ade3227049bc1d07fa b7f4a8969b49c37608c7fdf49e7f7cddd0841a88 c0e7d2fa0faa08cf4340456ee690b1da0e1d6992 c24873caad369bcf36685ba74bfe0e5965f5d51c c84163d0f0c2af363ab20d7d1d61bc9fda99d951 ceea2a990d3c7f0a5e6e295298afed45d91dc487 d14a779a259d05266bdb5aaaf64765c2b30f50e7 d8b752b26b2e28081f816e966e660e9f44c58c02 dbb51fa61bc7b8389a4f6067538fbbb7d8de1b34 e6f5d1d5e41064f2cc5c4d557005effef296629a Package: python3-sympy Source: sympy Version: 1.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26373 Depends: neurodebian-popularity-contest, python3:any, 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~nd100+1_all.deb Size: 3499676 SHA256: 48a50331b39f7071025d69fe6a61a5234643253bc0bf6d07cb67059027b71b4e SHA1: 545d2d834dded57507d83d8956aa320cb6bd9790 MD5sum: a823958b7178dfbc7e38bc73579d094a 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-typing-extensions Source: python-typing-extensions Version: 3.10.0.2-1~bpo11+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 213 Depends: neurodebian-popularity-contest, python3:any Homepage: https://github.com/python/typing/blob/master/typing_extensions/README.rst Priority: optional Section: python Filename: pool/main/p/python-typing-extensions/python3-typing-extensions_3.10.0.2-1~bpo11+1~nd100+1_all.deb Size: 35352 SHA256: 1e777a6fc60df365e975a6759e011f6df1222d275898e35c23fa73b3296d8528 SHA1: 0434de2e61af3d80052fc89348f99b72ebc15eec MD5sum: 67f0c68951629049cc7f42a94ca04c05 Description: Backported and Experimental Type Hints for Python The typing module was added to the standard library in Python 3.5 on a provisional basis and will no longer be provisional in Python 3.7. However, this means users of Python 3.5 - 3.6 who are unable to upgrade will not be able to take advantage of new types added to the typing module, such as typing.Text or typing.Coroutine. . The typing_extensions module contains both backports of these changes as well as experimental types that will eventually be added to the typing module, such as Protocol. . Users of other Python versions should continue to install and use the typing module from PyPI instead of using this one unless specifically writing code that must be compatible with multiple Python versions or requires experimental types. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python3-whoosh_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 290826 SHA256: 571725d4546678cbe70e525f38fc66853aa7fda32e27b56dfaac8ce5b674210b SHA1: fb6fa2b9a76d4ed9fec61aeb4972ce88487d5e7f MD5sum: b46e377dd534da6136e6d9d087ca69a2 Description: pure-Python full-text indexing, search, and spell checking library (Python 3) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python3 library Package: python3-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 448 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~nd100+1_all.deb Size: 86224 SHA256: 19b956f4f989449097999e1fefa99b7776ec051182d9bee946b00d96f5c7e2c8 SHA1: 1f4a6d84a387a3023867a0bbf509a268c4625c52 MD5sum: 8c3a5ed0479200c7eec6f93fa5b17afb 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: neurodebian-popularity-contest, python3-more-itertools, python3:any Homepage: https://github.com/jaraco/zipp Priority: optional Section: python Filename: pool/main/p/python-zipp/python3-zipp_1.0.0-3+nd1~nd100+1_all.deb Size: 6328 SHA256: bba26d9e30ec2c9aff0e198faf7ba9a349328cd943a95b77ac4d0101ba8dc59a SHA1: 30805a67bdced18ebdbf7427f4cef53b10c653dd MD5sum: 9df129f8f7bd46e1d925fc5d01f99f14 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 3628 SHA256: e5c7700522c62911b2b41a219481e0beac91ed0e8fb05783b1be623d645e7e2d SHA1: ee437da0daa11b9ec00b41d51adbc27aa9cf6b25 MD5sum: f42b559b98cb92e20d260b368952851a 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 183716 SHA256: ca71aee192068ded4e70623cdf4bd03b4f41ed39d23cdeb43c4eb00c7d1d58ee SHA1: 08ba6751228f27f2f7aaf86f2e35850c9efdd559 MD5sum: d256b9e822f071e09fff78ffd4aaf678 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: 2.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 525 Depends: neurodebian-popularity-contest, python3-dateutil, python3-magic, python3:any Homepage: https://s3tools.org/s3cmd Priority: optional Section: utils Filename: pool/main/s/s3cmd/s3cmd_2.3.0-1~nd100+1_all.deb Size: 120848 SHA256: 77501eaa498200c2f212b33e916fc77add9534f965fd0079a1492b6dd564afe6 SHA1: 1c8e46f377cd1ec925fea9487fe8dc1509be725e MD5sum: 504f1d795172e662789e5e7d4f465190 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: singularity-container Version: 2.6.1-2+nd2~nd100+1 Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 3524 Depends: neurodebian-popularity-contest, python, squashfs-tools, ca-certificates, libarchive13 (>= 3.0.4), libc6 (>= 2.27) Recommends: e2fsprogs Homepage: http://www.sylabs.io Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.6.1-2+nd2~nd100+1_ppc64el.deb Size: 333632 SHA256: 8c8ed3796341dd462d4cbf71044276dbdf3cdedeb3366ac08ed1cc168471efce SHA1: 6ade53023e661eb5cfd0764029a186651d898c3d MD5sum: 5c987c86be9decd9cb38dd67f02a862f Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container-dbgsym Source: singularity-container Version: 2.6.1-2+nd2~nd100+1 Auto-Built-Package: debug-symbols Architecture: ppc64el Maintainer: NeuroDebian Maintainers Installed-Size: 1407 Depends: singularity-container (= 2.6.1-2+nd2~nd100+1) Priority: optional Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.6.1-2+nd2~nd100+1_ppc64el.deb Size: 1090160 SHA256: 32a69401c47ce6f47a742c4876a266d5b32ed39ae6fb54b382af17544c03d6d9 SHA1: 25ac27948cace3e8ce7db9a5b68510b4a79e6601 MD5sum: 2376fac4747ff6f28344d7d5f3ea2dc0 Description: debug symbols for singularity-container Build-Ids: 0d5ddb794b7be360dc9093fbef668ad26e57929c 23874b942624019d75c2da4344872b6d2677d002 2891a35e3743a826c52e57378b1a88d2fab10465 710371babe5b62bf4644c2697da83d9ddee2d8a8 7f5f0bc91570842ee9aa860b5c5b3c954671786f 8a039786d15d0e1f18e081c1de606c775395f75b 9186a31f8cfb91718d487e366431db322ee9e70f ad64fcdc58f194776d1aa1199c40013d6ac8a817 b3172de78306fde001377df47a7467225f39091a b70eb5f3ffddec63f49a954b82d7f2bfd5826acd b853094f0898453894872382a481f7ca70d3f1f9 d3e867d61dfb866da2bef02622825222e229a0f5 ea43a956567363c39b56a45c9d3870e593f09b64 f0d53a7b0b953ecf2dba929d96df3d1dfb314787 f6837cd182682d78439920c260f581ce5abd4788 Package: svgtune Version: 0.3.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 7580 SHA256: 3dbc7d06e6ca687ecbc32d3087a05733b25197a2789b8134a4f8b6aaf0b6b8dc SHA1: 280a40371578a187922e9b844b227cc2f865eb6e MD5sum: fc56a891980b1a02ca1d1c52c17c2668 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers 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~nd100+1_all.deb Size: 18687264 SHA256: 59c423a97e6e4fabbe64fb7db8509d3cf592694aae8847e268b1bc01c9e7ce8a SHA1: c05fc4cf12b294a6092dc72e87fb39c7edfd7fcc MD5sum: 646cf2ceebad0cc2dea390b07bcded23 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 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