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: aghermann Version: 1.1.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1617 Depends: neurodebian-popularity-contest, libc6 (>= 2.11), libcairo2 (>= 1.2.4), libconfig++9v5, libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:3.0), libglib2.0-0 (>= 2.31.18), libgomp1 (>= 4.9), libgsl23, libgslcblas0, libgtk-3-0 (>= 3.21.5), libitpp8v5, liblua5.2-0, libpango-1.0-0 (>= 1.14.0), libsamplerate0 (>= 0.1.7), libstdc++6 (>= 5.2), libvte-2.91-0 Suggests: edfbrowser Homepage: http://johnhommer.com/academic/code/aghermann Priority: optional Section: science Filename: pool/main/a/aghermann/aghermann_1.1.2-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 562862 SHA256: 4564ed4741597b49a4b31aea03ab8726a2caa518fbdd3a022a138c2cf386a7bb SHA1: 3d79cdf06eb4f9b1cae7e7c53f7af2f06faa7380 MD5sum: e9ce32472bab307c651e4e6a1de6c2f4 Description: Sleep-research experiment manager Aghermann is a program designed around a common workflow in sleep-research, complete with scoring facility; cairo subpixel drawing on screen or to file; conventional PSD and EEG Micrcontinuity profiles; Independent Component Analysis; artifact detection; and Process S simulation following Achermann et al, 1993. Package: ants Version: 2.2.0-1~nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 302543 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.0), libinsighttoolkit4.12 (>= 4.12.0-dfsg1-2~), libstdc++6 (>= 5.2) Recommends: environment-modules Suggests: fsl, gridengine-client, r-base-core Conflicts: gpe-conf Homepage: http://www.picsl.upenn.edu/ANTS/ Priority: extra Section: science Filename: pool/main/a/ants/ants_2.2.0-1~nd17.04+1+nd17.10+1_i386.deb Size: 38710874 SHA256: d2c5651d511ef3dd15d0eb298e496cb0ab3a2617c71bd22ae60ebbd7b453cab6 SHA1: e806709076f7dc262f931765e6bad510a3ee66c5 MD5sum: f893063c0026f8b09bdd40973178a9c7 Description: advanced normalization tools for brain and image analysis Advanced Normalization Tools (ANTS) is an ITK-based suite of normalization, segmentation and template-building tools for quantitative morphometric analysis. Many of the ANTS registration tools are diffeomorphic, but deformation (elastic and BSpline) transformations are available. Unique components of ANTS include multivariate similarity metrics, landmark guidance, the ability to use label images to guide the mapping and both greedy and space-time optimal implementations of diffeomorphisms. The symmetric normalization (SyN) strategy is a part of the ANTS toolkit as is directly manipulated free form deformation (DMFFD). . This package provides environment-modules configuration. Use 'module load ants' to make all cmdline tools available in your shell. Package: asciidoctor Version: 1.5.7.1-1~nd~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 283 Depends: neurodebian-popularity-contest, ruby | ruby-interpreter, ruby-asciidoctor Multi-Arch: foreign Homepage: http://asciidoctor.org Priority: optional Section: text Filename: pool/main/a/asciidoctor/asciidoctor_1.5.7.1-1~nd~nd17.10+1_i386.deb Size: 64114 SHA256: 8fb53e72e4628aaf83d7dd91572b516b62b8a07a2d34e5aa37773fa4af74aa50 SHA1: f2c8be45ec70260e57985e2f600feca3fdb7cf92 MD5sum: 82a914c1351c4be5cecdecd020152b8f Description: AsciiDoc to HTML rendering for Ruby 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. Package: asciidoctor-doc Source: asciidoctor Version: 1.5.7.1-1~nd~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3301 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~nd17.10+1_all.deb Size: 345778 SHA256: 707bddece1aed1c354798378047fdff63154e6eaa494f97cd4d87dde4cd19b03 SHA1: f9d728299b27f21defcddda63b586bec615ee731 MD5sum: 69b2e0eee6922ee5abfa73409f81460a 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: btrbk Version: 0.27.1-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 323 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 3.18.2) | btrfs-tools (>= 3.18.2) Recommends: openssh-client, pv, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.27.1-1~nd17.10+1_all.deb Size: 91014 SHA256: e9a9719933ca6efb8811d24ff3f31a610a53c18566c4ff41e0f27b629d43f67c SHA1: d09d5e11eea9d8512bff9f5c765b1ffb20510e29 MD5sum: ec2c975e2ea96386b489b15fcd5a422f 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: btrfs-tools Version: 4.0-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3556 Depends: neurodebian-popularity-contest, e2fslibs (>= 1.41.0), libblkid1 (>= 2.17.2), libc6 (>= 2.8), libcomerr2 (>= 1.01), liblzo2-2, libuuid1 (>= 2.16), zlib1g (>= 1:1.2.0) Homepage: http://btrfs.wiki.kernel.org/ Priority: optional Section: admin Filename: pool/main/b/btrfs-tools/btrfs-tools_4.0-2~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 507670 SHA256: 47cb0d30c8983a5680be3db7d90afb68b0485b77cd1ebd5245c1c179454e8871 SHA1: 75ab82df58fa2de84ad09f0db4b9640c26a63c5c MD5sum: b6e0af31c3d41f3622c4069b998b1baf Description: Checksumming Copy on Write Filesystem utilities Btrfs is a new copy on write filesystem for Linux aimed at implementing advanced features while focusing on fault tolerance, repair and easy administration. . This package contains utilities (mkfs, fsck) used to work with btrfs and an utility (btrfs-convert) to make a btrfs filesystem from an ext3. Package: btrfs-tools-dbg Source: btrfs-tools Version: 4.0-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5138 Depends: neurodebian-popularity-contest, btrfs-tools (= 4.0-2~nd90+1+nd17.04+1+nd17.10+1) Homepage: http://btrfs.wiki.kernel.org/ Priority: extra Section: debug Filename: pool/main/b/btrfs-tools/btrfs-tools-dbg_4.0-2~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 4299656 SHA256: d5dedd5500e2c7191815bb4a55d4a1848aa85fb760b8b2adc22e3173fd7d4a4c SHA1: 5ee40468ec5c7c35b3f8f18caac6adff40bbfcf7 MD5sum: 16f16093765d4b3e3c6493ea3f505b43 Description: Checksumming Copy on Write Filesystem utilities (debug) Btrfs is a new copy on write filesystem for Linux aimed at implementing advanced features while focusing on fault tolerance, repair and easy administration. . This package contains the debugging symbols. Build-Ids: 2a2176e1971921ee118a79c1cc53791f4177a4bc fed74070074697df6d975a8a2218f2c825e19a9e Package: cmtk Version: 3.3.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 26018 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.7), libdcmtk12, libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.2), libgomp1 (>= 4.9), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsqlite3-0 (>= 3.5.9), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Recommends: sri24-atlas Suggests: numdiff Homepage: http://www.nitrc.org/projects/cmtk/ Priority: extra Section: science Filename: pool/main/c/cmtk/cmtk_3.3.1-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 4144508 SHA256: 27edc53ab2c4dc2fa739d649d02271310d3c82416da604e4b9bdee4695532af7 SHA1: 72835b8a1643f1867bdac6b305b376c2ea9dabe7 MD5sum: ab4604b3f05d9aa002eaf79e6bf5665f Description: Computational Morphometry Toolkit A software toolkit for computational morphometry of biomedical images, CMTK comprises a set of command line tools and a back-end general-purpose library for processing and I/O. . The command line tools primarily provide the following functionality: registration (affine and nonrigid; single and multi-channel; pairwise and groupwise), image correction (MR bias field estimation; interleaved image artifact correction), processing (filters; combination of segmentations via voting and STAPLE; shape-based averaging), statistics (t-tests; general linear regression). Package: cnrun-tools Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libcnrun2 (>= 2.0.0), libgcc1 (>= 1:3.0), libgsl23, libstdc++6 (>= 5.2) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun-tools_2.1.0-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 18212 SHA256: cc35fb9a90ac716f97bfd53e837e42129db07ea5a774807e7c2baeee9bb5d0e2 SHA1: 6857b0af47e8732b31ff84377dc4e90cc66ec893 MD5sum: 8f5b34b625ce6f473ed8e2014e9dea4e Description: NeuroML-capable neuronal network simulator (tools) CNrun is a neuronal network simulator implemented as a Lua package. This package contains two standalone tools (hh-latency-estimator and spike2sdf) that may be of interest to CNrun users. . See lua-cnrun description for extended description. Package: connectome-workbench Version: 1.3.2-2~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 48338 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libftgl2 (>= 2.1.3~rc5), libgcc1 (>= 1:7), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.7.0), 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: extra Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.3.2-2~nd17.10+1_i386.deb Size: 21072796 SHA256: 33d9c2b2602d34931f85f960f0c8b990f247933349d0a400936808f6b4810bb4 SHA1: 0f6c7823a05e5bd995a97897e456a227eb39aa66 MD5sum: a8165d1dc8bed8bac9825bf9c7f3c689 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: 1.3.2-2~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 195015 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.3.2-2~nd17.10+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.3.2-2~nd17.10+1_i386.deb Size: 193387546 SHA256: ea38a5f188bdd859575e4fd50c693717e1ade3a97538bb595eda16db34dede37 SHA1: 166a6393e0737c66f2d93609d438c56bb45a73d6 MD5sum: a8d5474d673150d915fe326fc8ff4c2d 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: 5221e14fda8ee37e16598dd1b4ceab7722907f74 d717c770d83bf309abf260f4143670d005b8aa4b Package: convert3d Version: 0.0.20170606-1~pre1~nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 59871 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:4.0), libgdcm2.8, libinsighttoolkit4.12 (>= 4.12.0-dfsg1-2~), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.8.0), libqt5widgets5 (>= 5.7.0), libstdc++6 (>= 5.2) Homepage: https://sourceforge.net/projects/c3d/ Priority: optional Section: science Filename: pool/main/c/convert3d/convert3d_0.0.20170606-1~pre1~nd17.04+1+nd17.10+1_i386.deb Size: 9682258 SHA256: 4949625b7206b0ff92c82a136795bcffad8038e11dd70ecf47ea2aeb2b4af323 SHA1: 972208a47648d1fee7ae8a601cfe60e505cdac2f MD5sum: f9b30daa9dd7d635cae9709bab7f0d6f Description: tool(s) for converting 3D images between common file formats C3D is a (command-line and GUI) tool for converting 3D images between common file formats. The tool also includes a growing list of commands for image manipulation, such as thresholding and resampling. Package: copyq Version: 3.6.1-1~nd1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4902 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.2), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.8.0), libqt5network5 (>= 5.0.2), libqt5script5 (>= 5.6.0~beta), libqt5svg5 (>= 5.6.0~beta), libqt5widgets5 (>= 5.7.0), libqt5x11extras5 (>= 5.6.0), libstdc++6 (>= 4.8), libx11-6, libxtst6 Recommends: copyq-plugins (= 3.6.1-1~nd1~nd17.10+1) Suggests: copyq-doc Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: utils Filename: pool/main/c/copyq/copyq_3.6.1-1~nd1~nd17.10+1_i386.deb Size: 1357428 SHA256: 0f245267e0372887fb572b9b56d055f11cf64c8c4efb3bb2a18f7af0aa1f788c SHA1: adb6459a85263871969be0d729868cec89c1a74f MD5sum: 205e36ffbad6991b26489536769ce493 Description: Advanced clipboard manager with editing and scripting features CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . Items can be: * edited with internal editor or with preferred text editor, * moved to other tabs, * drag'n'dropped to applications, * marked with tag or a note, * passed to or changed by custom commands, * or simply removed. . Features: * Support for Linux, Windows and OS X 10.9+ * Store text, HTML, images or any other custom formats * Quickly browse and filter items in clipboard history * Sort, create, edit, remove, copy/paste, drag'n'drop items in tabs * Add notes or tags to items * System-wide shortcuts with customizable commands * Paste items with shortcut or from tray or main window * Fully customizable appearance * Advanced command-line interface and scripting * Ignore clipboard copied from some windows or containing some text * Support for simple Vim-like editor and shortcuts * Many more features Package: copyq-doc Source: copyq Version: 3.6.1-1~nd1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1600 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Built-Using: sphinx (= 1.5.6-2) 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~nd17.10+1_all.deb Size: 897784 SHA256: 4572eff73916bb1cc1ac95ba804a3ef88a8a93b0cfdc7cc6bcd1f6f8e1f2d8b3 SHA1: 088af60175b265cee0492d7736648892b030148b MD5sum: 461516cc2165abf240e88ccf3fcb6f8a 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: copyq-plugins Source: copyq Version: 3.6.1-1~nd1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2591 Depends: neurodebian-popularity-contest, copyq (= 3.6.1-1~nd1~nd17.10+1), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.2.0), libqt5widgets5 (>= 5.7.0), libstdc++6 (>= 4.8) Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: utils Filename: pool/main/c/copyq/copyq-plugins_3.6.1-1~nd1~nd17.10+1_i386.deb Size: 606884 SHA256: a5d3628c0dee2018c0afbea9606aa5a02d8e9cea34eb5e8a4cd1793c83c31543 SHA1: 4fe599893a5795f565b1222590149abc2c91d7a7 MD5sum: bc141b8dbd52e83f5dc52ce59b2beab3 Description: Plugins for CopyQ CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . This package contains plugins that add various item types support and features to CopyQ, including: * Text with Highlighting * Images * Web Pages * Various Data * Notes * Encryption * FakeVim Editor * Synchronize Items to Disk * Item Tags * Pinned Items Package: datalad Version: 0.17.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 224 Depends: neurodebian-popularity-contest, python3-datalad (= 0.17.5-1~nd+1), python3-argcomplete (>= 1.12.3), python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.17.5-1~nd+1_all.deb Size: 187092 SHA256: dcfab5ab31ab85c685b4439648c3095efb236b34c92eb2f870fc1376dd0dbab1 SHA1: e8a088bc96e73f10444588eede93689410943c07 MD5sum: a4020bc221d05979fe1738d432660717 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) Package: datalad-container Version: 0.2.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 72 Depends: neurodebian-popularity-contest, datalad (>= 0.11.1~), python-requests (>= 1.2), python3-datalad, python3-requests, python3:any (>= 3.3.2-2~) Recommends: singularity-container Suggests: docker.io Homepage: http://datalad-container.rtfd.org Priority: optional Section: science Filename: pool/main/d/datalad-container/datalad-container_0.2.2-1~nd17.10+1_all.deb Size: 14704 SHA256: bf13d7601fe6aca9fc267b5f418571886c67c79a9b77936f75cb4cbada5c0c47 SHA1: 47228dfb823fc407ab0d718abcaf4e96722a7d37 MD5sum: ef29dca3ea4adeca704db673288441d1 Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: dcm2niix Version: 1:1.0.20181125-1~nd2~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 733 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libyaml-cpp0.5v5 Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20181125-1~nd2~nd17.10+1_i386.deb Size: 182914 SHA256: 6ed9d42814cee92387f41791f36f1a716db1aae188428e06426aa5c666772663 SHA1: bec6b1bebf11d3cb56630cf05160b20ea1d940b7 MD5sum: 62e13a26ae1cb9749b7f2270a88baa6e Description: converts DICOM and PAR/REC files into the NIfTI format This is the successor of the well-known dcm2nii program. it aims to provide same functionality albeit with much faster operation. This is a new tool that is not yet well tested, and does not handle ancient proprietary formats. Use with care. Package: debian-handbook Version: 6.0+20120509~nd+1+nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23385 Depends: neurodebian-popularity-contest Homepage: http://debian-handbook.info Priority: optional Section: doc Filename: pool/main/d/debian-handbook/debian-handbook_6.0+20120509~nd+1+nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 21551248 SHA256: 84d2ead0e20866ebd8ecb17c7785811cc4bdabb9eb043bea406ad26baa221089 SHA1: 0f32851b45d13cba34d99a205d18c93669599478 MD5sum: a7fc6439850b6698036f01bcdff0f423 Description: reference book for Debian users and system administrators Accessible to all, the Debian Administrator's Handbook teaches the essentials to anyone who wants to become an effective and independent Debian GNU/Linux administrator. . It covers all the topics that a competent Linux administrator should master, from the installation and the update of the system, up to the creation of packages and the compilation of the kernel, but also monitoring, backup and migration, without forgetting advanced topics like SELinux setup to secure services, automated installations, or virtualization with Xen, KVM or LXC. . The Debian Administrator's Handbook has been written by two Debian developers — Raphaël Hertzog and Roland Mas. . This package contains the English book covering Debian 6.0 “Squeeze”. Package: dh-octave Version: 0.6.0~bpo9+1+nd1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, liboctave-dev (>= 4.2.1-5), debhelper (>= 11), cme, libparse-debcontrol-perl, libmime-tools-perl, dh-octave-autopkgtest, perl Priority: optional Section: devel Filename: pool/main/d/dh-octave/dh-octave_0.6.0~bpo9+1+nd1~nd17.10+1_all.deb Size: 20016 SHA256: 6aaa88358fc5ff1caad7ea08c8d87d8e7cac1e0fe52838e79d981e57fa91554a SHA1: 787e56d7ef749122f491d9760ac7b592a408c424 MD5sum: fc7bb613f81ee91e62ced884dfc83494 Description: Debhelper-based infrastructure for building Octave add-on packages Since version 3.0 of Octave (a numerical computation software), add-ons can be installed through the pkg.m system. This package provides the infrastructure for packaging such add-ons for Debian, based on debhelper. It replaces the deprecated octave-pkg-dev package. This package contains debhelper-like scripts for building, checking and cleaning the add-on package as well as for generating the substitution variables in debian/control. . This package is intended to be used by the Debian Octave Group and should be of little interest to general users. Package: dh-octave-autopkgtest Source: dh-octave Version: 0.6.0~bpo9+1+nd1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, gnuplot-nox, fonts-freefont-otf Priority: optional Section: devel Filename: pool/main/d/dh-octave/dh-octave-autopkgtest_0.6.0~bpo9+1+nd1~nd17.10+1_all.deb Size: 8412 SHA256: b4eabe0a8f49fa64f84673d48c56e572607a5e5f880bc373935bb6970c983e6e SHA1: 25ddd24b9abc2db74cbf141ec2bee3f055c6c934 MD5sum: 6a4d7d94512de8ae2734f46e3243c1af 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: docker-compose Version: 1.5.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 267 Depends: neurodebian-popularity-contest, python-docker (>= 1.3.0), python-dockerpty (>= 0.3.4), python-docopt, python-enum34 (<< 2), python-enum34 (>= 1.0.4), python-jsonschema, python-requests (>= 2.6.1), python-six (<< 2), python-six (>= 1.3.0), python-texttable, python-websocket, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: docker.io (>= 1.6.0) Homepage: http://docs.docker.com/compose/ Priority: optional Section: admin Filename: pool/main/d/docker-compose/docker-compose_1.5.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 76956 SHA256: 072bc175405809834661fc3b10d0ac9eda8e4d16170088ce5e9f157d2223245c SHA1: 623644e778eeb47b08f812d40d6453cc2598d527 MD5sum: 5c771b01ca60997d547fc3e5a0c2502b Description: Punctual, lightweight development environments using Docker docker-compose is a service management software built on top of docker. Define your services and their relationships in a simple YAML file, and let compose handle the rest. Package: fail2ban Version: 0.9.7-1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1274 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), init-system-helpers (>= 1.18~), lsb-base (>= 2.0-7) Recommends: python, iptables, whois, python3-pyinotify, python3-systemd Suggests: mailx, system-log-daemon, monit Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.9.7-1~nd17.04+1+nd17.10+1_all.deb Size: 262508 SHA256: 70e71599834f24ab399293e569e3b590ea65c15a970ecdb5b908fb3b05eea7b8 SHA1: 9672ba757ef9f3f5c9aba2d3be0ae188c34e96e5 MD5sum: c44c8923290945181bc39f2510929f50 Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Following recommends are listed: . - iptables -- default installation uses iptables for banning. You most probably need it - whois -- used by a number of *mail-whois* actions to send notification emails with whois information about attacker hosts. Unless you will use those you don't need whois - python3-pyinotify -- unless you monitor services logs via systemd, you need pyinotify for efficient monitoring for log files changes Package: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1), freeipmi-tools, freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 1184 SHA256: 0f0bdc4754130135ea4001fab821de5a0a451da2c47dda8d034d9b2b12237eac SHA1: 5fc346f683190c1fe9dbab3ac80b71306f04129e MD5sum: dd6a905d7f79a64a81d4786a01dd83ce Description: GNU implementation of the IPMI protocol FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This metapackage depends on all separate modules of freeipmi. Package: freeipmi-bmc-watchdog Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 145 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1), freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-bmc-watchdog_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 45772 SHA256: c6cbaa46e5caab5dec1abb3e1136c4a23ac9f2e9aefd982e9deca6eed4834bf4 SHA1: 5c54d0564c33e69b15562c93d6bb526e8d8a2273 MD5sum: a8ca5b9ed97abe53641c173f4b9df7a4 Description: GNU implementation of the IPMI protocol - BMC watchdog FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains a watchdog daemon for hardware BMC watchdogs. Package: freeipmi-common Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 344 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest Suggests: freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-common_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 189226 SHA256: 27ba1d28e21950b0d8fa8d3cfecca63d1e155f5e1db890cf8a014bcbfb0476b4 SHA1: fb166396c5fd2c410da8e0f30d2597fe8168a2f6 MD5sum: c1f4cccbf6d1491bb40294efc77c4585 Description: GNU implementation of the IPMI protocol - common files FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package provides configuration used by the rest of FreeIPMI framework and generic documentation to orient the user. Package: freeipmi-ipmidetect Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 136 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.1.5), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmidetect_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 40114 SHA256: 883725f59d483d33c8a8775c453d4ab8a85d05f6a5a12b76008114bce30bbdae SHA1: b75a7953b9bd7c1960c249691d0ec29ec3447cf9 MD5sum: f7433a5d00ce1f6aa072c4cf46536cee Description: GNU IPMI - IPMI node detection tool FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains a tool and a daemon for detecting IPMI nodes. Package: freeipmi-ipmiseld Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 218 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.4.4), freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1), sysvinit-utils (>= 2.88dsf-50~) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmiseld_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 82630 SHA256: 4432a97a01b091dd7133598ccb8019195abae127cb478630e2c1e8d422fca277 SHA1: 8c69e176bc42e4d551af82f27d58259e4fe34ffc MD5sum: c40addc5f049ef2d68f66dba6f8eb15f Description: GNU IPMI - IPMI node detection tool FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains ipmiseld which takes the system event log from the BMC and imports it to syslog Package: freeipmi-tools Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3090 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1), libipmiconsole2 (>= 1.4.4), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1) Suggests: freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-tools_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 635722 SHA256: c649f067f4eec78d47decee63c35ae8bc3e91c0f4b2096969b05b5f6e271ee8a SHA1: 2dac324dd74e5bfddbd7fcbffe62d24d3160db48 MD5sum: f5812683e4946d95a8580916dfc209b1 Description: GNU implementation of the IPMI protocol - tools FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains assorted IPMI-related tools: * bmc-config - configure BMC values * bmc-info - display BMC information * ipmi-chassis - IPMI chassis management utility * ipmi-fru - display FRU information * ipmi-locate - IPMI probing utility * ipmi-oem - IPMI OEM utility * ipmi-pet - decode Platform Event Traps * ipmi-raw - IPMI raw communication utility * ipmi-sel - display SEL entries * ipmi-sensors - display IPMI sensor information * ipmi-sensors-config - configure sensors * ipmiconsole - IPMI console utility * ipmiping - send IPMI Get Authentication Capabilitiy request * ipmipower - IPMI power control utility * pef-config - configure PEF values * rmcpping - send RMCP Ping to network hosts Package: fsl-melview Source: melview Version: 1.0.1+git9-ge661e05~dfsg.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73 Depends: neurodebian-popularity-contest, python-matplotlib, python-nibabel, python-numpy, python-pkg-resources, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pyface, python-traits, python-traitsui, python-enthoughtbase Suggests: fsl-core Homepage: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Melview Priority: optional Section: science Filename: pool/main/m/melview/fsl-melview_1.0.1+git9-ge661e05~dfsg.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 14022 SHA256: ad6164baa3d1a28679a2989bf5c6a3ad27656b911e6f14ecfd89476c10f8d47b SHA1: cf01acdc463145600df3d1f67b668bbf5fae5d35 MD5sum: bfc9caf661c88cbd560820403b81889a Description: viewer for the output of FSL's MELODIC This viewer can be used to facilitate manual inspection and classification of ICA components computed by MELODIC. As such, it is suited to generate hand-curated labels for FSL's ICA-based denoising tool FIX. Python-Version: 2.7 Package: fsleyes Version: 0.15.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239775 Depends: neurodebian-popularity-contest, python-fsl, python-fsleyes-props, python-fsleyes-widgets, python-wxgtk3.0, python-six (>= 1.0~), python-jinja2, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd17.10+1_all.deb Size: 26742746 SHA256: 765684ff9d89fac34402d6f7349e1afd6ce82314053bf0a93efa2a4866ea27e3 SHA1: 244f0b8d02b108615b67ab642028969f3b1f7c7c MD5sum: 1c43ff2cd846fef45aada16c865f7115 Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: gcalcli Version: 3.4.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1766 Depends: neurodebian-popularity-contest, python, python-dateutil, python-gflags, python-googleapi Recommends: gxmessage, python-parsedatetime, python-simplejson, python-vobject Homepage: https://github.com/insanum/gcalcli Priority: extra Section: utils Filename: pool/main/g/gcalcli/gcalcli_3.4.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 1670064 SHA256: c3b08d675f2d77ec0bdd2dc270db9bb9e8e59bf91e1d77151e75bd20dc50669c SHA1: 58a7f873af8828ed554576e8805b8d6b698b627a MD5sum: f1fcb2129901888680aa162e7870a6bc Description: Google Calendar Command Line Interface gcalcli is a Python application that allows you to access your Google Calendar from a command line. It's easy to get your agenda, search for events, and quickly add new events. Additionally gcalcli can be used as a reminder service to execute any application you want. Package: gifti-bin Source: gifticlib Version: 1.0.9-2~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgiftiio0, libnifti2 Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: utils Filename: pool/main/g/gifticlib/gifti-bin_1.0.9-2~nd17.10+1_i386.deb Size: 23768 SHA256: 87362f7151303e74cdb0039535d64f71027960062a525a400314f823acbb5e16 SHA1: edc40e048aa09cb591dcc0f9e7855f26d055ddcf MD5sum: 39938e135fffd8ab8c3a2c2fce3ed195 Description: tools shipped with the GIFTI library GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the tools that are shipped with the library (gifti_tool and gifti_test). Package: git-annex-remote-rclone Version: 0.5-1~ndall+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1_all.deb Size: 7842 SHA256: 0b1d65c740ce1073ecdae6db121d304fe02c4bb95df552326894118a65b38319 SHA1: 34a2323c4387e61c4a69617150c463f9a7b772c5 MD5sum: 00c5a0407a998eba72d4f5eb0ad71189 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 10.20241031-1~ndall+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 236968 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, yt-dlp, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Breaks: datalad (<= 0.12.3~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_10.20241031-1~ndall+1_i386.deb Size: 68790604 SHA256: 54a538b686e2e3c42f6cf7260adc0ffe9710f3c6acc07a3b0832df703dba5a6b SHA1: be36d7de781610ad2928fe4ce19fa9ff92631f78 MD5sum: 97eb9b52c155f9c314da9711f48b2ed7 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing large files with git, without storing the file contents in git. It can sync, backup, and archive your data, offline and online. Checksums and encryption keep your data safe and secure. Bring the power and distributed nature of git to bear on your large files with git-annex. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with dozens of cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: git-hub Version: 0.10.3-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: neurodebian-popularity-contest, python, git (>= 1:1.7.7) Homepage: https://github.com/sociomantic/git-hub Priority: optional Section: vcs Filename: pool/main/g/git-hub/git-hub_0.10.3-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 34202 SHA256: 19306b88c65f92d7b69562617b1c37787479052beb81436092bf5eb641a04a45 SHA1: be58f7f50533fed5a64e08f9e3ba6c68f8d4f404 MD5sum: b7c840542e5f00946af2ef3e7d36c860 Description: Git command line interface to GitHub git hub is a simple command line interface to GitHub, enabling most useful GitHub tasks (like creating and listing pull request or issues) to be accessed directly through the Git command line. . Although probably the most outstanding feature (and the one that motivated the creation of this tool) is the pull rebase command, which is the rebasing version of the GitHub Merge (TM) button. This enables an easy workflow that doesn't involve thousands of merges which makes the repository history unreadable. . Another unique feature is the ability to transform an issue into a pull request by attaching commits to it (this is something offered by the GitHub API but not by the web interface). Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~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: 0.5.3-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 958 Depends: neurodebian-popularity-contest, dcm2niix, python, python-dcmstack, python-dicom, python-nibabel, python-pathlib, python-numpy, python-nipype Recommends: python-pytest, python-datalad Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.5.3-1~nd17.10+1_all.deb Size: 246228 SHA256: c6b6d2b74464226c59349c0ea5b2918205de057016dc1da634a1c64ef2ffa249 SHA1: 970b36f95a94c3c16d421068f2c6787545833a26 MD5sum: 3ab07fd860f873da5aac6717ee332324 Description: DICOM converter with support for structure heuristics This is a flexible dicom converter for organizing brain imaging data into structured directory layouts. It allows for flexible directory layouts and naming schemes through customizable heuristics implementations. It only converts the necessary dicoms, not everything in a directory. It tracks the provenance of the conversion from dicom to nifti in w3c prov format. Package: impressive Version: 0.12.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 468 Depends: neurodebian-popularity-contest, python, python-pygame, python-pil, mupdf-tools (>= 1.5) | xpoppler-utils Recommends: mplayer, ffmpeg, pdftk, perl, xdg-utils Suggests: ghostscript, latex-beamer Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.12.0-1~nd17.10+1_all.deb Size: 183820 SHA256: 9733d0673f3150ce5462c3b7e8f44805c087a4ea2ccac49245ceac7d448f278c SHA1: eccf325c2563abd3ed781bce7f7a5fd72a3a8913 MD5sum: 4776a21566b7cbf1f951ad4d2be7c6c5 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: 1.1.1-4~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 222 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_1.1.1-4~nd17.10+1_all.deb Size: 189714 SHA256: e64e3d42db576bdb8fbe5bdb45eb8aee930895f89333a30f525a0c58cb6fc626 SHA1: 6f40faf75405674be542b8c78b308688b1b9707f MD5sum: 59882c6b44b890f7387c256b0413fcb8 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: 1.1.1-4~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: neurodebian-popularity-contest, isympy-common, python3-sympy Recommends: ipython3 Provides: isympy Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/isympy3_1.1.1-4~nd17.10+1_all.deb Size: 7702 SHA256: 45ec904b8450f20ef4cedad21e8859436e87c325224301651c8c8a854564fe8e SHA1: 92d97aab6249ea154f8777eaef7174a703130b76 MD5sum: 7722ecfaf9b852e26508accaa80104e8 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: jasp Version: 0.8.1.0~dfsg.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 39950 Depends: neurodebian-popularity-contest, libarchive13 (>= 3.0.4), libboost-filesystem1.62.0, libboost-system1.62.0, libc6 (>= 2.4), libgcc1 (>= 1:4.2), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5webkit5 (>= 5.6.0~rc), libqt5widgets5 (>= 5.6.0~beta), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 5.2), libjs-marked, r-base-core, r-cran-afex, r-cran-bayesfactor, r-cran-car, r-cran-effects, r-cran-hypergeo, r-cran-lme4, r-cran-logspline, r-cran-rjson Recommends: r-cran-ggplot2, r-cran-lsmeans, r-cran-plotrix, r-cran-rcpp, r-cran-rinside, r-cran-vcd, r-cran-vcdextra Homepage: https://jasp-stats.org Priority: optional Section: science Filename: pool/main/j/jasp/jasp_0.8.1.0~dfsg.1-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 33459186 SHA256: e189dba966c0c96871aac074262ebcd231da295339daceb6e228055cf27f0e39 SHA1: d4b0325a792c1b62859c3c2e06854fee5323f647 MD5sum: 1a982be48f74992e6929a3be40812477 Description: Bayesian statistics made accessible This is a statistics package with a graphical user interface. Its authors consider it "a low fat alternative to SPSS, a delicious alternative to R. Bayesian statistics made accessible." Package: libcnrun2 Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 270 Depends: neurodebian-popularity-contest, libc6 (>= 2.8), libgcc1 (>= 1:3.0), libgsl23, libgslcblas0, libstdc++6 (>= 5.2), libxml2 (>= 2.7.4) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/libcnrun2_2.1.0-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 85790 SHA256: e85fbf7b890a928966c384e7aa84d99d104745f422fda185ec87792325114a57 SHA1: 797bf479e60fc58871dd31dfa4658fb68c1d3438 MD5sum: bb8a58d7570b5c853c7acba49635d297 Description: NeuroML-capable neuronal network simulator (shared lib) CNrun is a neuronal network simulator implemented as a Lua package. This package contains shared libraries. . See lua-cnrun description for extended description. Package: libcnrun2-dev Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, libcnrun2 (= 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1) Suggests: pkg-config Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: libdevel Filename: pool/main/c/cnrun/libcnrun2-dev_2.1.0-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 21542 SHA256: 13d983cb234789c75329cb65629b6bfc35c33c2bd3ed0dd0b8f8e800e502d8ad SHA1: e9ce4bdaeee0ea0ab08932ce4656c7247f3f21f1 MD5sum: 4fa7d03bbaf6d097e035e0db5f289961 Description: NeuroML-capable neuronal network simulator (development files) CNrun is a neuronal network simulator implemented as a Lua package. This package contains development files. . See lua-licnrun description for extended description. Package: libfreeipmi-dev Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6685 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1), libfreeipmi16 (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libfreeipmi-dev_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 928518 SHA256: 11d2143c4afcd84422b70a2f055d9ee63b4e84222bda2d6172eca6ea8aae0ce9 SHA1: 9fc06f080c25dc4936df849b190cd41dfd35f18f MD5sum: bcdbb36ae8c2b4138f434ac3b5d837fc Description: GNU IPMI - development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libfreeipmi. Package: libfreeipmi16 Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4206 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcrypt20 (>= 1.7.0), freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi16_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 744296 SHA256: 17590d18c826d18d85393ee85e94b5ce36c5afb21ff264c9a08901a9771045cf SHA1: 04a72619525872f4c9515e723987d963b41a2b96 MD5sum: 7bf784299c7d7f7ce218ff75724d5505 Description: GNU IPMI - libraries FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . OpenIPMI, KCS, SMIC, SSIF, LAN drivers, and an IPMI API in a C Library. Package: libghc-network-protocol-xmpp-dev Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: Debian Haskell Group Installed-Size: 1601 Depends: libc6 (>= 2.3.6-6~), libgmp10, libgnutls30 (>= 3.5.3), libgsasl7 (>= 1.1), libidn11 (>= 1.13), libxml2 (>= 2.6.27), libghc-base-dev-4.9.1.0-5a696, libghc-bytestring-dev-0.10.8.1-a98c5, libghc-gnuidn-dev-0.2.2-eb09c, libghc-gnutls-dev-0.2-6deeb, libghc-gsasl-dev-0.3.6-7b6bd, libghc-libxml-sax-dev-0.7.5-a7619, libghc-monads-tf-dev-0.1.0.3-27140, libghc-network-dev-2.6.3.2-67243, libghc-text-dev-1.2.2.2-4f564, libghc-transformers-dev-0.5.2.0-e204f, libghc-xml-types-dev-0.3.6-f7516 Suggests: libghc-network-protocol-xmpp-doc, libghc-network-protocol-xmpp-prof Provides: libghc-network-protocol-xmpp-dev-0.4.8-0f6f3 Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: haskell Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-dev_0.4.8-2+ndb1~nd90+nd17.04+1+nd17.10+1_i386.deb Size: 191994 SHA256: b77f02240de3e716849870f7a05fe41e5286b9805414578459fc0a3cc1896f1d SHA1: 03035680517cb4c32389cfd20b93ebcd94c16373 MD5sum: 99802181c4178089d7572d6dd7cc9d95 Description: Haskell XMPP (Jabber) library This library defines an XMPP data type and functions. . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Ghc-Package: network-protocol-xmpp-0.4.8-BoodTD00Q121AJUEjF6YqQ Package: libghc-network-protocol-xmpp-doc Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90+nd17.04+1+nd17.10+1 Architecture: all Maintainer: Debian Haskell Group Installed-Size: 511 Depends: haddock-interface-28 Recommends: ghc-doc, libghc-monads-tf-doc, libghc-network-doc, libghc-text-doc, libghc-xml-types-doc, libjs-mathjax Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: doc Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-doc_0.4.8-2+ndb1~nd90+nd17.04+1+nd17.10+1_all.deb Size: 48156 SHA256: 12b6aa5bef952f35cdc240f15b06c882e22e9663b621847d1859ed017e1fd106 SHA1: c2908a78ba2bc421463f95554c025a9a512f5388 MD5sum: 96ae159f0480a46f16d940c0c29a49c7 Description: Haskell XMPP (Jabber) library; documentation; documentation This library defines an XMPP data type and functions. . This package provides the documentation for a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Package: libghc-network-protocol-xmpp-prof Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: Debian Haskell Group Installed-Size: 1546 Depends: libghc-network-protocol-xmpp-dev (= 0.4.8-2+ndb1~nd90+nd17.04+1+nd17.10+1), libghc-base-prof-4.9.1.0-5a696, libghc-bytestring-prof-0.10.8.1-a98c5, libghc-gnuidn-prof-0.2.2-eb09c, libghc-gnutls-prof-0.2-6deeb, libghc-gsasl-prof-0.3.6-7b6bd, libghc-libxml-sax-prof-0.7.5-a7619, libghc-monads-tf-prof-0.1.0.3-27140, libghc-network-prof-2.6.3.2-67243, libghc-text-prof-1.2.2.2-4f564, libghc-transformers-prof-0.5.2.0-e204f, libghc-xml-types-prof-0.3.6-f7516 Provides: libghc-network-protocol-xmpp-prof-0.4.8-0f6f3 Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: haskell Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-prof_0.4.8-2+ndb1~nd90+nd17.04+1+nd17.10+1_i386.deb Size: 198394 SHA256: cf23e18b630d8f14423092614cf698930b2b4d958d0b5b3b69ecd6e86a437a79 SHA1: 5dac3c16cbacf5b66b1645fbc3c77cbfacb964cc MD5sum: b8af21025bd7be7cab4d4563abcf2777 Description: Haskell XMPP (Jabber) library; profiling libraries; profiling libraries This library defines an XMPP data type and functions. . This package provides a library for the Haskell programming language, compiled for profiling. See http://www.haskell.org/ for more information on Haskell. Package: libgiftiio-dev Source: gifticlib Version: 1.0.9-2~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 194 Depends: neurodebian-popularity-contest, libgiftiio0 (= 1.0.9-2~nd17.10+1), libnifti-dev Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libdevel Filename: pool/main/g/gifticlib/libgiftiio-dev_1.0.9-2~nd17.10+1_i386.deb Size: 50372 SHA256: d173da9edba7c4621d502fdda61fb4725abdd715577806ed18ea84e7615b5a95 SHA1: 03afbeddac6ca34289b2bf9e9e3ce3acb17f0ff7 MD5sum: e6b13506d73528546d30e8d95564fca5 Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the header files and static library. Package: libgiftiio0 Source: gifticlib Version: 1.0.9-2~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libexpat1 (>= 2.0.1), libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libs Filename: pool/main/g/gifticlib/libgiftiio0_1.0.9-2~nd17.10+1_i386.deb Size: 45176 SHA256: d5f2e5c9341f973637950c4f1cf23e1e6d9a4771d4af23966c1c99f1e6852a4f SHA1: 1e044857a9da6b4b5cf901013b95a1ccc68cecdf MD5sum: 92b5d094f9ac8e6c54c198f3984f77e6 Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package contains the shared library. Package: libipmiconsole-dev Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 463 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1), libipmiconsole2 (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmiconsole-dev_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 107096 SHA256: 006098d0b1468b4c7163e54d7b7a71c96c72c62204c1920d9fdc9f4aa2645a70 SHA1: ade658c98c6d51a8ff571d73c2755ac7e18e702d MD5sum: ea8f2e877f3629bbb6a5f745346b2dcb Description: GNU IPMI - ipmiconsole development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmiconsole. Package: libipmiconsole2 Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 309 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.4), freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmiconsole2_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 86090 SHA256: 814a8e28e7783b77daa3aff3857f45cf2ed3d76ff7a7cec9e03e65206c81ef56 SHA1: 3e3a2166d35f1331503a1b45e7837761e68d1731 MD5sum: c0059c03b74646578f7b1c9ba1395814 Description: GNU IPMI - Serial-over-Lan library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for Serial-over-Lan (SOL). Package: libipmidetect-dev Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 110 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1), libipmidetect0 (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmidetect-dev_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 33332 SHA256: f35ae35cd13c5f0336d9d3aa03bd2805e6fb5365d6ec67e34770e4c4d50ae90d SHA1: a3ac531053e159c2553fb6779c76825156fdc5ce MD5sum: 1b408c45e9270ddc89924f50b785eaf8 Description: GNU IPMI - ipmidetect development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmidetect. Package: libipmidetect0 Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 74 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmidetect0_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 26944 SHA256: fec5606b6d6d2e95072030c4aaaef4fbf5a9ee404cf614b854e45d8931217e86 SHA1: d235eebcd1a3eaffab15b91ab899be03cfacd678 MD5sum: 9cbcc161741e813c233fc05ad2d0380a Description: GNU IPMI - IPMI node detection library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for IPMI node detection. Package: libipmimonitoring-dev Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 303 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1), libipmimonitoring5a (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmimonitoring-dev_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 63896 SHA256: 770bfc454551fcd19e33d781b867003d768c818eaca7d981e4ee92a24163c667 SHA1: 3dcfd50a0cca437b2da9f7c5e03ef0270c7cfae2 MD5sum: d8548e096d9b1878c2fa43c539b16d61 Description: GNU IPMI - ipmimonitoring development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmimonitoring. Package: libipmimonitoring5a Source: freeipmi Version: 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 145 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfreeipmi16 (>= 1.4.4), freeipmi-common (= 1.4.9-1~nd90+1+nd17.04+1+nd17.10+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5a_1.4.9-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 44198 SHA256: b36f0ffb2693e381f11a66f0420bec02d2f3087dfca6b6a0fabfb9b07c668e1f SHA1: 5df95262866bafb96b525dfba3f501db65a31456 MD5sum: ad4a6d87ae29340934455f17cdde8291 Description: GNU IPMI - Sensor monitoring library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for sensor monitoring. Package: libvw-dev Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12997 Depends: neurodebian-popularity-contest, libvw0 (= 8.6.1.dfsg1-1~nd17.10+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: libdevel Filename: pool/main/v/vowpal-wabbit/libvw-dev_8.6.1.dfsg1-1~nd17.10+1_i386.deb Size: 1583714 SHA256: 7b3ab27ed371cea9d005513afde279306047b8ed693d6c035f62589bd3ad0782 SHA1: b8154a59950e363ff349061fb12a94e97b632a0d MD5sum: 021860f0315c352fa72578cab797ba98 Description: fast and scalable online machine learning algorithm - development files 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 development files needed to compile and link programs which use vowpal-wabbit's libraries. Package: libvw0 Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3282 Depends: neurodebian-popularity-contest, libboost-program-options1.62.0, libc6 (>= 2.15), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Homepage: http://hunch.net/~vw/ Priority: optional Section: libs Filename: pool/main/v/vowpal-wabbit/libvw0_8.6.1.dfsg1-1~nd17.10+1_i386.deb Size: 923440 SHA256: 3a2d0e5de2625bfb66fb67827a852ff9239c5e3c52260f9454f20f8dbf22494d SHA1: ee5c82ff67d17708b23b2572ee43ffaa85e446e2 MD5sum: 8e84d63f9fd73daa76e4153e15a3b656 Description: fast and scalable online machine learning algorithm - dynamic library 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 vowpal-wabbit's dynamic libraries. Package: lua-cnrun Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, libcnrun2, lua5.1 | lua5.2 Suggests: gnuplot Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/lua-cnrun_2.1.0-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 39558 SHA256: 0450f1d2c6c5d559535539b9da0fef007de04f87dda78a87a2a70e272b7cd634 SHA1: aac8a931aa738f6bc00abfc10312687eb66da5ea MD5sum: 06ca5d94c0f16b389ad8df08cdc650b8 Description: NeuroML-capable neuronal network simulator (Lua package) CNrun is a neuronal network simulator, with these features: * a conductance- and rate-based Hodgkin-Huxley neurons, a Rall and Alpha-Beta synapses; * a 6-5 Runge-Kutta integration method: slow but precise, adjustable; * Poisson, Van der Pol, Colpitts oscillators and interface for external stimulation sources; * NeuroML network topology import/export; * logging state variables, spikes; * implemented as a Lua module, for scripting model behaviour (e.g., to enable plastic processes regulated by model state); * interaction (topology push/pull, async connections) with other cnrun models running elsewhere on a network, with interactions (planned). . Note that there is no `cnrun' executable, which existed in cnrun-1.*. Instead, you write a script for your simulation in Lua, and execute it as detailed in /usr/share/lua-cnrun/examples/example1.lua. Package: matlab-support-dev Source: matlab-support Version: 0.0.21~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 17 Depends: neurodebian-popularity-contest Conflicts: matlab-dev (<= 0.0.14~) Replaces: matlab-dev (<= 0.0.14~) Priority: optional Section: devel Filename: pool/main/m/matlab-support/matlab-support-dev_0.0.21~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 7620 SHA256: d57cbd9f178091b284733bb7fd70e91022f330492dbc4820332fc04a7bd4c1b0 SHA1: 9e7f8619d6aa8cd2f4aa98f049882f8ad46e89a9 MD5sum: 9572913f51808edad23a59e2f95be80f Description: helpers for packages building MATLAB toolboxes This package provides a Makefile snippet (analogous to the one used for Octave) that configures the locations for architecture independent M-files, binary MEX-extensions, and their corresponding sources. This package can be used as a build-dependency by other packages shipping MATLAB toolboxes. Package: mridefacer Version: 0.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 647 Depends: neurodebian-popularity-contest, num-utils, fsl-5.0-core | fsl-core Homepage: https://github.com/hanke/mridefacer Priority: optional Section: science Filename: pool/main/m/mridefacer/mridefacer_0.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 637336 SHA256: d8bdd2b35459623f603ef829b04e57f0980e90ee9c50f6ab540a8dfd5d68761d SHA1: 9f5741b399ae7449cb78cfc2692d12d91d5cc8d4 MD5sum: 6b55c1a75ad79698c5c545403b68b838 Description: de-identification of MRI data This tool creates a de-face mask for volumetric images by aligning a template mask to the input. Such a mask can be used to remove image data from the vicinity of the facial surface, the auricles, and teeth in order to prevent a possible identification of a person based on these features. mrideface can process individual or series of images. In the latter case, the computed transformation between template image and input image will be updated incrementally for the next image in the series. This feature is most suitable for processing images that have been recorded in temporal succession. Package: mrtrix Version: 0.2.13-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9370 Depends: neurodebian-popularity-contest, libatkmm-1.6-1v5 (>= 2.24.0), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1v5 (>= 2.54.0), libglu1-mesa | libglu1, libgsl23, libgslcblas0, libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1v5 (>= 1:2.24.0), libsigc++-2.0-0v5 (>= 2.2.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Suggests: mrtrix-doc, octave, matlab-support Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: science Filename: pool/main/m/mrtrix/mrtrix_0.2.13-1~nd17.10+1_i386.deb Size: 1507658 SHA256: d68cc868288dd521211990fc256c922bfdf9b08427873cba3efc3c7b0137e79d SHA1: 000bfc6b8fcd17fed7d4b440b67987e19de20eb6 MD5sum: c29a80af197edd1f560984fa4fd6ba52 Description: diffusion-weighted MRI white matter tractography 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. Package: mrtrix-doc Source: mrtrix Version: 0.2.13-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3402 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.13-1~nd17.10+1_all.deb Size: 3180348 SHA256: 28540fffaeecbeac0e4ea6e5c56425290671af762f3ee21698fa8976d92c8ddf SHA1: 5e5ffeb9c742f3df6f3fba481ab9e8fbb83764e4 MD5sum: e87e6b36a5f944352273430778a144c0 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 Version: 3.0~rc3+git86-g4b523b413-2~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 50761 Depends: neurodebian-popularity-contest, libc6 (>= 2.23), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.2), libgl1-mesa-glx | libgl1, libgomp1 (>= 4.9), libqt4-opengl (>= 4:4.7.0~beta1), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.8.0), libstdc++6 (>= 7), zlib1g (>= 1:1.1.4) Recommends: python-numpy Suggests: mrtrix3-doc, octave, python, python2, matlab-support Conflicts: mrtrix Homepage: http://www.mrtrix.org Priority: optional Section: science Filename: pool/main/m/mrtrix3/mrtrix3_3.0~rc3+git86-g4b523b413-2~nd17.10+1_i386.deb Size: 8411036 SHA256: 7d1a7eddbfa0179f3124bb1d75536d2838bbd3145057b4681d9a181c603a06f7 SHA1: ad7c4043f11ea366f4cf9cb497caef7637f56703 MD5sum: b84d652352bf99b1abbde75f50b7bad0 Description: diffusion-weighted MRI white matter tractography 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. Package: mrtrix3-doc Source: mrtrix3 Version: 3.0~rc3+git135-g2b8e7d0c2-3~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 86 Depends: neurodebian-popularity-contest Conflicts: mrtrix-doc Homepage: http://www.mrtrix.org Priority: optional Section: doc Filename: pool/main/m/mrtrix3/mrtrix3-doc_3.0~rc3+git135-g2b8e7d0c2-3~nd17.10+1_all.deb Size: 47844 SHA256: 49d3ccee96e7df5d77897895892b9da43ae3edc2c1a59d334a71f7319adb1820 SHA1: 453e34e218219b35586affa13915044559396395 MD5sum: f7963f0d935036cee953156aea37756d 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: 0.38.3~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: python, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.38.3~nd17.10+1_all.deb Size: 35374 SHA256: 90992a272342c58bc319c33b47ff390073824ffa747eb0ecff08d0b1ee147f41 SHA1: 500ab07f92f53fa9dec084fb764ac9e03ece7efe MD5sum: c83c11d28a8dc50ddd0a2b03c1b9cc3c 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: 0.38.3~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 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_0.38.3~nd17.10+1_all.deb Size: 10944 SHA256: 473d114c26c881428dc4dd4520c07231e5d2f22eca9f9c081d06f3d1c707d59e SHA1: 736df9d52674e362f4150f55d85e0e9ffcd3fb3c MD5sum: ddc23ab9dfe5d625db9d270ab1162df3 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: 0.38.3~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 190 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_0.38.3~nd17.10+1_all.deb Size: 116924 SHA256: b58da16f5754586ca1ab3126216b76a70fc4bb542c90640d933d311ee783fdb2 SHA1: b70fcb45015a6a1c93b94c4dcd0ef9351817eb17 MD5sum: 3821e080c00a624a15b9bcba37471ec4 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: 0.38.3~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: devscripts, neurodebian-archive-keyring Recommends: ubuntu-keyring, python, 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_0.38.3~nd17.10+1_all.deb Size: 33678 SHA256: 769d8725f8130fbd94f2cf1f3624af664b5598991dcf64a7d2ac8cef9522b561 SHA1: e70c5fa3ae46e714f88b9c0dbb00a2e74cb4036b MD5sum: da2a0b8c52f15d6e131ddf1c0bb57d27 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: 0.38.3~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 37 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.38.3~nd17.10+1_all.deb Size: 14842 SHA256: 2650449ac4ee5429fd79c1b9c01dadd7beedf510200e07efdcc8b7af8ac38cea SHA1: 2faea46ad20fb3fd111e4f224e79fba3e022988f MD5sum: 423022bbcdfc49789553e5abc9b4dc5f 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-guest-additions Source: neurodebian Version: 0.37.5~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: virtualbox-guest-utils, virtualbox-guest-x11, virtualbox-guest-dkms, sudo, neurodebian-desktop, lightdm | x-display-manager, zenity Recommends: chromium, update-notifier Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-guest-additions_0.37.5~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 17046 SHA256: e07adcb25c44b1b15a1b88f0c46228d1ba4f13e99112cafd401bfda3670555b2 SHA1: 36cd5d8339b992bf0a2e122918316ab50d4098b4 MD5sum: ad1f0773b08f720c423282eea710d337 Description: NeuroDebian guest additions (DO NOT INSTALL OUTSIDE VIRTUALBOX) This package configures a Debian installation as a guest operating system in a VirtualBox-based virtual machine for NeuroDebian. . DO NOT install this package unless you know what you are doing! For example, installation of this package relaxes several security mechanisms. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.38.3~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.38.3~nd17.10+1_all.deb Size: 13000 SHA256: f97495dc4c2f865bad7084592888c116573d9a91db34341b3fa1943d319a4670 SHA1: 0eaa1a716b4cb75823bc58c414c6fc9eb1a89f2a MD5sum: 3820323fb4368cf62a5ee7137c927c6e Description: neuroscience-oriented distribution - popcon integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (either Debian or Ubuntu) popcon server. . Participating in popcon is important for the following reasons: * Popular packages receive more attention from developers; bugs are fixed faster and updates are provided quicker. * It ensures that support is not dropped for a previous release of Debian or Ubuntu while there are active users. * User statistics may be useful for upstream research software developers seeking funding for continued development. . This requires that popcon is activated for the underlying distribution (Debian or Ubuntu), which can be achieved by running "dpkg-reconfigure popularity-contest" as root. Package: nuitka Version: 0.6.1.1+ds-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7442 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python-appdirs | base-files (<< 7.2), python3-appdirs | base-files (<< 7.2), python-dev (>= 2.6.6-2), python3-dev, python3:any (>= 3.3.2-2~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-lxml (>= 2.3), python-pyqt5, strace, chrpath Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.6.1.1+ds-1~nd17.10+1_all.deb Size: 779434 SHA256: fa4acd7510256b4e13f6f98290c443073c1b63c7ff02d0f8a0fbab80edc5d565 SHA1: 7565e6eb6901d4ff9cb18e4f1d962a8e68618963 MD5sum: 55fda6df237c568f3bbfab40e9508782 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: numdiff Version: 5.9.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 903 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), dpkg (>= 1.15.4) | install-info Homepage: http://nongnu.org/numdiff/ Priority: extra Section: science Filename: pool/main/n/numdiff/numdiff_5.9.0-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 591902 SHA256: 86b2369f7451ff8be222a29be6825294eecb14f6a410e6032552982aed72ab93 SHA1: 0f467292d5a3fe7a9880ac7bc583289bf9faf421 MD5sum: 8d84833380c7aa400240d664a10a49b3 Description: Compare similar files with numeric fields Numdiff is a console application that can be used to compare putatively similar files line by line and field by field, ignoring small numeric differences or/and different numeric formats. It is similar diff or wdiff, but it is aware of floating point numbers including complex and multi-precision numbers. Numdiff is useful to compare text files containing numerical fields, when testing or doing quality control in scientific computing or in numerical analysis. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.15.20190207.dfsg1-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4274 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.12), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgstreamer-plugins-base1.0-0 (>= 1.0.0), libgstreamer1.0-0 (>= 1.0.0), liboctave4, libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), 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), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.15.20190207.dfsg1-1~nd17.10+1), psychtoolbox-3-lib (= 3.0.15.20190207.dfsg1-1~nd17.10+1) Recommends: octave-audio, 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_3.0.15.20190207.dfsg1-1~nd17.10+1_i386.deb Size: 867732 SHA256: afa9bb64c0058042223c3f0a4580fe012b4417b6a5aa17bda8eb1315e9e823ce SHA1: bb7c7365c5c12d454b08cadd34bb4fbe6d3c0c79 MD5sum: cf439c698fd781689a6d0aaedf45adf2 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: 52~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 191 Depends: neurodebian-popularity-contest, autopkgtest, libxml-xpath-perl, madison-lite, pristine-tar Priority: extra Section: devel Filename: pool/main/o/openstack-pkg-tools/openstack-pkg-tools_52~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 52348 SHA256: 3815dd751e154d736adedfbf307ede4a0a3325cfa540bd4142d461e4e2766165 SHA1: aabd17f1b65c9bd67d774f4df6e95f74829d2fb5 MD5sum: 16a40ac4833d705b871cefe7714b6f0e Description: Tools and scripts for building Openstack packages in Debian This package contains some useful shell scripts and helpers for building the Openstack packages in Debian, including: . * shared code for maintainer scripts (.config, .postinst, ...). * init script templates to automatically generate init scripts for sysv-rc, systemd and upstart. * tools to build backports using sbuild and/or Jenkins based on gbp workflow. * utility to maintain git packaging (to be included in a debian/rules). . Even if this package is maintained in order to build OpenStack packages, it is of a general purpose, and it can be used for building any package. Package: p7zip Version: 16.02+dfsg-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1000 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 5) Suggests: p7zip-full Homepage: http://p7zip.sourceforge.net/ Priority: optional Section: utils Filename: pool/main/p/p7zip/p7zip_16.02+dfsg-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 379870 SHA256: 12b301dcd98b82541a59cde644f8f85289391f4274623bd4f138f6603963ef9f SHA1: a59c9b930481bc2257ac8132d9bbf8e7fcf428be MD5sum: 80e7b2081d5760385043c0b60514eb9b Description: 7zr file archiver with high compression ratio p7zip is the Unix command-line port of 7-Zip, a file archiver that handles the 7z format which features very high compression ratios. . p7zip provides: - /usr/bin/7zr a standalone minimal version of the 7-zip tool that only handles 7z, LZMA and XZ archives. 7z compression is 30-50% better than ZIP compression. - /usr/bin/p7zip a gzip-like wrapper around 7zr. . p7zip can be used with popular compression interfaces (such as File Roller or Nautilus). . Another package, p7zip-full, provides 7z and 7za which support more compression formats. Package: p7zip-full Source: p7zip Version: 16.02+dfsg-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4915 Pre-Depends: dpkg (>= 1.17.13) Depends: neurodebian-popularity-contest, p7zip (= 16.02+dfsg-1~nd90+1+nd17.04+1+nd17.10+1), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 5) Suggests: p7zip-rar Breaks: p7zip (<< 15.09+dfsg-3~) Replaces: p7zip (<< 15.09+dfsg-3~) Homepage: http://p7zip.sourceforge.net/ Priority: optional Section: utils Filename: pool/main/p/p7zip/p7zip-full_16.02+dfsg-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 1417198 SHA256: e5000c2533d816051e23d8ffc5415c4ddc4973fdece5bb57bbd99e020f76253f SHA1: 1df3e2b81fa9a147e63eda041c02eb732676a529 MD5sum: 3550d3f9132abfe9ee011dee2187f471 Description: 7z and 7za file archivers with high compression ratio p7zip is the Unix command-line port of 7-Zip, a file archiver that handles the 7z format which features very high compression ratios. . p7zip-full provides utilities to pack and unpack 7z archives within a shell or using a GUI (such as Ark, File Roller or Nautilus). . Installing p7zip-full allows File Roller to use the very efficient 7z compression format for packing and unpacking files and directories. Additionally, it provides the 7z and 7za commands. . List of supported formats: - Packing / unpacking: 7z, ZIP, GZIP, BZIP2, XZ and TAR - Unpacking only: APM, ARJ, CAB, CHM, CPIO, CramFS, DEB, DMG, FAT, HFS, ISO, LZH, LZMA, LZMA2, MBR, MSI, MSLZ, NSIS, NTFS, RAR (only if non-free p7zip-rar package is installed), RPM, SquashFS, UDF, VHD, WIM, XAR and Z. . The dependent package, p7zip, provides 7zr, a light version of 7za, and p7zip, a gzip-like wrapper around 7zr. Package: patool Version: 1.12-3+nd1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 410 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~nd17.10+1_all.deb Size: 37522 SHA256: 55964add7ea0f2605d11453a513424084240aaca550334593b46dd23424d8c80 SHA1: 8d264271541a7596ac05289b22131375096d5c83 MD5sum: e7b7859965f155efeda822ea05a9059b 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: prov-tools Source: python-prov Version: 1.5.0-1+nd1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-prov (= 1.5.0-1+nd1~nd17.04+1+nd17.10+1) Homepage: https://github.com/trungdong/prov Priority: optional Section: utils Filename: pool/main/p/python-prov/prov-tools_1.5.0-1+nd1~nd17.04+1+nd17.10+1_all.deb Size: 7002 SHA256: 02d0a05975e49d9abfab64fab2f8bab779260b7d476c5483cbd70dcbe283f3ff SHA1: 000452dac8013cccc2277aa430272d828565f2a7 MD5sum: 5585e937d2c356f74ebfc8365968e187 Description: tools for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the command-line tools for the prov library. Package: psychopy Version: 1.85.3.dfsg-1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15994 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-requests, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython, python-future Suggests: python-iolabs, python-pyxid, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.85.3.dfsg-1~nd17.04+1+nd17.10+1_all.deb Size: 6666450 SHA256: 7dacd1258aa63a1525d077150459f49d11f742a0a4b19cc5fe48887b10662c95 SHA1: 9d4ba873944abc25901432f4feebec8aaf8e4518 MD5sum: 5e637af6da5e0fef1d19a65b0ae7a130 Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.15.20190207.dfsg1-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 253622 Depends: neurodebian-popularity-contest Recommends: alsa-utils Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.15.20190207.dfsg1-1~nd17.10+1_all.deb Size: 23899536 SHA256: 9ac0c3dcebfc61ae43129f4ba73e9f82d2b671d3df3f20731cf72b2c1f4dffbd SHA1: 53c183791f0db5daefc53c6c779726a0e7ac0d37 MD5sum: dc69b11acbe2c70392b0eb6400720648 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: 3.0.15.20190207.dfsg1-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9339 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.15.20190207.dfsg1-1~nd17.10+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.15.20190207.dfsg1-1~nd17.10+1_i386.deb Size: 8271210 SHA256: 5c9d4f1fb356428aecf2cda74752f23e80f15065320a23fb8006a285a2f31922 SHA1: 15308df7c5a282bb5083b6c7fd7f4cc2ef1bbd80 MD5sum: d6d8eff7f7ded9e6b692e1d221d6bc3f 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: 2be4690f0131e1ce74b157a3058385e08c0438f5 Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.15.20190207.dfsg1-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 185 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.11.94), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1-mesa-glx | 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 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.15.20190207.dfsg1-1~nd17.10+1_i386.deb Size: 76588 SHA256: fb4c9f03f5a49de9062e36e812d87881992d2635ef1e7739c6a079a895b6b872 SHA1: 8c40d90b2f80c14aa400b8614933b37522a4fc0d MD5sum: 2dffb58576c2feea70d579921dbd953b 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~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 610 Depends: neurodebian-popularity-contest, pypy-enum34, pypy, pypy-attr 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~nd17.10+1_all.deb Size: 120522 SHA256: 029aa8b0364c96ac88ac200390494298c0ab690d6e20ed3a390518c3a4a2fc9a SHA1: 645d2d7780723843291384e16031a4a5978b5551 MD5sum: a0208d2cfe00bf4cccdb1dae80110234 Description: advanced Quickcheck style testing library for PyPy Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the PyPy module. Package: pypy-json-tricks Source: json-tricks Version: 3.11.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, pypy Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/pypy-json-tricks_3.11.0-1~nd17.10+1_all.deb Size: 18924 SHA256: 943eebba7e4c76f0b4a54668092f3354370dbf038a342d5635f4a3e72356684a SHA1: 146212fff9ff8632c5a959e61de6e2c0af2f753a MD5sum: d46cf0b357518ac43656896f04cef6d8 Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: pypy-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, pypy Suggests: pypy-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/pypy-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 112112 SHA256: 8af4bd57f1a0af531c94adfdc417c2876d22c809a4d92e6974bf02a2768a86af SHA1: 43c7539aab398b32b42d269f752de50b026e3540 MD5sum: 691d2ac15b8c034d5eed2f6162f63d25 Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: pypy-py Source: python-py Version: 1.4.31-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, pypy, pypy-pkg-resources Suggests: subversion, pypy-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/pypy-py_1.4.31-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 82352 SHA256: d758a42f68764a0551859aa97c9551cd60f05e3ab7006ebe91e3b9ee2bc0e6bb SHA1: 31702443737b1194f49f39c3309afc8de25d6059 MD5sum: c1c8fe4e912459ce52c8d75b88bb6d9f Description: Advanced Python development support library (PyPy) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the PyPy 2 modules. Package: pypy-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, pypy-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1), pypy Suggests: python-setuptools-doc Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/pypy-setuptools_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 122036 SHA256: 0bb4ec42c2f431cc2889f9a6b5c05139d48b76aea3f4635f2919ba86fb93d904 SHA1: 947d178f833b30244eeae45534e2fcc0859a3a89 MD5sum: 31306a8714b8ffee239eb7de3ef563c4 Description: PyPy Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: pypy-six Source: six Version: 1.10.0-3~bpo8+1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 51 Depends: neurodebian-popularity-contest, pypy Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/pypy-six_1.10.0-3~bpo8+1~nd17.04+1+nd17.10+1_all.deb Size: 11786 SHA256: fb12ee026d59351b76c263f6c2eb56d4a0859e3b0ae6851d63046f359160065d SHA1: f5611275acf71514e032a806ced4773a69253d46 MD5sum: 24b2a3b76f396eae3565167c85a204cc Description: Python 2 and 3 compatibility library (PyPy interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the PyPy module path. It is complemented by python-six and python3-six. Package: python-argcomplete Version: 1.0.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 111 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python-argcomplete_1.0.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 24598 SHA256: d4946e468005be3477c75d519269a183827fef5fc4ffb8a761f0b70e9a85cbae SHA1: 9aa6b2e744f5a4a9c1667beec20e0132b3842f09 MD5sum: 8ca228ed7779621454a1f08c2d9afb50 Description: bash tab completion for argparse Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 2.x. Package: python-boto Version: 2.44.0-1~nd17.10+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~nd17.10+1_all.deb Size: 740934 SHA256: 7de7d950ec9225a334c5995c6498f5da4929861fba560ac4dd769fda068f9889 SHA1: e0857536d0d8b582d081233c96a023df396a320d MD5sum: 0659e0bd4f19a310aada186ba5b12776 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-boto3 Version: 1.2.2-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 720 Depends: neurodebian-popularity-contest, python-botocore, python-concurrent.futures, python-jmespath, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-requests, python-six Homepage: https://github.com/boto/boto3 Priority: optional Section: python Filename: pool/main/p/python-boto3/python-boto3_1.2.2-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 58382 SHA256: 3261e5db83424f7bd805b1158397c4a6cb9cda80ab1b7848e432731d63abf838 SHA1: 82f45f1b7a79bb3817ab6d44a91433afc34c1664 MD5sum: f0eea30fbd8b34a6557dc0dec2b24a30 Description: Python interface to Amazon's Web Services - Python 2.x Boto is the Amazon Web Services interface for Python. It allows developers to write software that makes use of Amazon services like S3 and EC2. Boto provides an easy to use, object-oriented API as well as low-level direct service access. Package: python-brian Source: brian Version: 1.4.3-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2456 Depends: neurodebian-popularity-contest, python-matplotlib (>= 0.90.1), python-numpy (>= 1.3.0), python-scipy (>= 0.7.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-brian-lib (>= 1.4.3-1~nd90+1+nd17.04+1+nd17.10+1) Recommends: python-sympy Suggests: python-brian-doc, python-nose, python-cherrypy Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian_1.4.3-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 401076 SHA256: 241ed4fb0ad8b11b00c00f83bf27bdfbe85f8c95c2de7d70ff2c6fbca9e86117 SHA1: e38950db297dce883bceafcfc706f0d1d7435547 MD5sum: daf7c742909b6e728e06b36151f3cdc5 Description: simulator for spiking neural networks Brian is a clock-driven simulator for spiking neural networks. It is designed with an emphasis on flexibility and extensibility, for rapid development and refinement of neural models. Neuron models are specified by sets of user-specified differential equations, threshold conditions and reset conditions (given as strings). The focus is primarily on networks of single compartment neuron models (e.g. leaky integrate-and-fire or Hodgkin-Huxley type neurons). Features include: - a system for specifying quantities with physical dimensions - exact numerical integration for linear differential equations - Euler, Runge-Kutta and exponential Euler integration for nonlinear differential equations - synaptic connections with delays - short-term and long-term plasticity (spike-timing dependent plasticity) - a library of standard model components, including integrate-and-fire equations, synapses and ionic currents - a toolbox for automatically fitting spiking neuron models to electrophysiological recordings Package: python-brian-doc Source: brian Version: 1.4.3-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7371 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-brian Homepage: http://www.briansimulator.org/ Priority: extra Section: doc Filename: pool/main/b/brian/python-brian-doc_1.4.3-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 1985658 SHA256: 04e4a1093e4bf3e6504443a95d6d4a7384d7d7d10257531769ae5a3a67e22758 SHA1: e7a63bb5c0d979dd24b6894162debd04234ee8ae MD5sum: 9797aa62a10eda1fc11d1d33e7e11b48 Description: simulator for spiking neural networks - documentation Brian is a clock-driven simulator for spiking neural networks. . This package provides user's manual (in HTML format), examples and demos. Package: python-brian-lib Source: brian Version: 1.4.3-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian-lib_1.4.3-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 41510 SHA256: 2f1dd37e59dcb6e399ffad7c2b6d6831cc7c938b861e5e063504d5ae3734749a SHA1: 1f15cb17431fe833270d60dcddefae6477a907fc MD5sum: e52ec4b09d6142258eb471cc2408301c Description: simulator for spiking neural networks -- extensions Brian is a clock-driven simulator for spiking neural networks. . This package provides Python binary extensions. Package: python-bz2file Version: 0.98-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-bz2file Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python-bz2file_0.98-1~nd17.10+1_all.deb Size: 7832 SHA256: 461e669c5b98c150a8d3d3ab34654628f3de617288c96d4ed5d7c90f3e377fb1 SHA1: bbce37b05bd571cae6b1aa3da9a4525e681df00a MD5sum: d13abb46deebe8b9ac919933a025b0fd 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-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 768 Depends: neurodebian-popularity-contest, python-lxml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python-citeproc_0.3.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 80418 SHA256: f6cf9a81c9a2614108b340e7554d16ebecbd6ca675036dd6a46d16b65a451d01 SHA1: 5ae6284e03892191dab9abd8f467fff28b996bcc MD5sum: 859c9136ea3518da28dd6baab904b34c Description: Citation Style Language (CSL) processor for Python Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python modules. Package: python-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python-contextlib2_0.4.0-3~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 8758 SHA256: 5af078ce0636e256a7385fdb2ee0c39933dcc99dccdd274d1d679e696648d627 SHA1: d660baaf3fbbaeb05adbb7e6f74d90c4a1b18296 MD5sum: 48cec6483b19a26c7770487f4d46a2a7 Description: Backport and enhancements for the contextlib module - Python 2.7 contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. . It also serves as a real world proving ground for possible future enhancements to the standard library version. . This package contains the Python 2.7 module. Package: python-datalad Source: datalad Version: 0.11.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4355 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 (>= 2.7.5-5~) 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_0.11.2-1~nd17.10+1_all.deb Size: 907546 SHA256: ab05a022f07f0185e1f9a77840ba9ceb1defaf593e8fa35c4874047ff9f297e8 SHA1: f40210afa4ffc03539d8d4e445bba2563591bf90 MD5sum: cc991b5d024f6487720c8cb52296db14 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~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 499 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python-dcmstack_0.7-1~nd17.10+1_all.deb Size: 76048 SHA256: 915a8fd8ff5da334132ba49dec9372ed071876892679d3097246278a7eb94bec SHA1: c79336d2fa9e45a7bc3b8f61cf568a2f388bff32 MD5sum: 2bbf334646a098dc53e17dbce53c89ab Description: DICOM to NIfTI conversion DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python package, and command line tools (dcmstack, and nitool), as well as the documentation in HTML format. Package: python-dicom Source: pydicom Version: 1.2.1-1~nd17.10+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~nd17.10+1_all.deb Size: 4808 SHA256: 973c40b06b4f52b3a355be6b545dfac2bc207abe28461786c2a9f4c45c553513 SHA1: 706244047a6835d74b52608990b485dfc088c847 MD5sum: c4d2972b7a985ccdfd23d78c58ca47da Description: transitional package for python-pydicom This is a transitional package. It can safely be removed. Package: python-dipy Source: dipy Version: 0.14.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8631 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.14.0-1~nd17.10+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel (>= 2.1.0) Suggests: ipython Provides: python2.7-dipy Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.14.0-1~nd17.10+1_all.deb Size: 3059504 SHA256: 5029281e3ecbf47bf9b14358f36cbdad5a616e8ea87db477f702fcdc1bb1a44a SHA1: d7149ae7baead9d8f6bce930b411ed5f679f7bb8 MD5sum: c9a46c61ee4585bf6cea0d810023aa34 Description: Python library for the analysis of diffusion MRI datasets DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging. . Here are some of the highlights: - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE and MAPMRI - Fiber tracking algorithms: deterministic and probabilistic - Native linear and nonlinear registration of images - Fast operations on streamlines (selection, resampling, registration) - Tractography segmentation and clustering - Many image operations, e.g., reslicing or denoising with NLMEANS - Estimation of distances/correspondences between streamlines and connectivity matrices - Interactive visualization of streamlines in the space of images Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.14.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16551 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://dipy.org Priority: extra Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.14.0-1~nd17.10+1_all.deb Size: 12641006 SHA256: 22ed07dd76ebe2ff41cf953ba3a2a37af4eb9e003720861e06842911f684fe31 SHA1: 60bf2769b52a62f5268afb8dbb93aff009e41072 MD5sum: ef43c35536210a258919f485ec83248f 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-dipy-lib Source: dipy Version: 0.14.0-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10384 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.4), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.14.0-1~nd17.10+1_i386.deb Size: 1570406 SHA256: 86ee5c0ac614d533524169791194c3efebaff3e1ba5085b34d1da73ad29af9de SHA1: c1e18d6146fd38dce92d9f37218c278ecd4cd1bd MD5sum: df9abcb5271d615b67e071b702c1ebf1 Description: Python library for the analysis of diffusion MRI datasets -- extensions DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides architecture-dependent builds of the extensions. Python-Version: 2.7 Package: python-docker Version: 1.7.2-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, python-requests, python-six (>= 1.4.0), python-websocket, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/dotcloud/docker-py/ Priority: optional Section: python Filename: pool/main/p/python-docker/python-docker_1.7.2-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 27178 SHA256: 87bea913028e335c280a3eecd52f5f8b856289679efec130b6f0768448d17d51 SHA1: bf3dbcbda20096206c15f30228c3e05266d7449e MD5sum: 62aa794831b0dbb8e79fe74e5d48712b Description: Python wrapper to access docker.io's control socket This package contains oodles of routines that aid in controling docker.io over it's socket control, the same way the docker.io client controls the daemon. . This package provides Python 2 module bindings only. Package: python-dockerpty Source: dockerpty Version: 0.4.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-docker (>= 0.7.1) Homepage: https://github.com/d11wtq/dockerpty Priority: optional Section: python Filename: pool/main/d/dockerpty/python-dockerpty_0.4.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 10990 SHA256: 7c71bd6245d334e9a35d73ae6c2675bda827b7afd4f21b91730751283b4009f1 SHA1: 704cf154cefae434cfa6b2f146e4572e46c49a19 MD5sum: 6af374f07e8e5e009a1f90296d1294ec Description: Pseudo-tty handler for docker Python client (Python 2.x) Provides the functionality needed to operate the pseudo-tty (PTY) allocated to a docker container, using the Python client. . This package provides Python 2.x version of dockerpty. Package: python-duecredit Source: duecredit Version: 0.6.5-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 246 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.6.5-1~nd17.10+1_all.deb Size: 53068 SHA256: beb9b6cb63df229de01286633a36c43643583cebf51072fae12b8560e9508b7d SHA1: e0ebbe4bea3d904bdab39c7e0eee1309c770109f MD5sum: 5ab1c00deb1547c209805ad2080b909c 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~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 130 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-exif Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python-exif_2.1.2-1~nd17.10+1_all.deb Size: 27698 SHA256: e2a5426c71ce290e15c9aa85829f831cf206a36da66bcf955c96c1164659a539 SHA1: 8c3dbc6ed753a4be8b98cd4824c9bdc81987568a MD5sum: e619dfa2385341053eb492c07912fc88 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~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 76 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~nd17.10+1_all.deb Size: 13552 SHA256: 11ae8d6ee47d7bf7ab12d6e355207b6bceeb18ba036d3fb16af4cf4264e22f33 SHA1: 85e01b4451b0beb7dc718caee431c91d99ec6bda MD5sum: 8a2ba99042e36ea455805d48c50425e2 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-fsl Source: fslpy Version: 1.2.2-2~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), python-indexed-gzip, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-wxgtk3.0 Conflicts: fsl-melview (<= 1.0.1+git9-ge661e05~dfsg.1-1) Provides: python2.7-fsl Priority: optional Section: python Filename: pool/main/f/fslpy/python-fsl_1.2.2-2~nd17.10+1_all.deb Size: 84238 SHA256: 9b3d8368f35c189f6d50d2cfae40ac9aa2839023613706641f67c82e77e02c7d SHA1: f8a1f472fc362cfcb85ba48bf8fd6bc58f55ef79 MD5sum: 0a1e5a0dd8ca37307d4c36e2ecf60ccb Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-fsleyes-props Source: fsleyes-props Version: 1.2.1-3~nd17.10+1 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~nd17.10+1_all.deb Size: 75336 SHA256: 5e831efb7d1e960ad16a4cf30ee91aea5cfa6f0357eb32b109d659696b76489a SHA1: c57f231855ed233019d508a0478107b00f2d2eb4 MD5sum: db15371d73e5875a84da74aed2579716 Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-fsleyes-widgets Source: fsleyes-widgets Version: 0.2.0-2~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 374 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-fsleyes-widgets Priority: optional Section: python Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.2.0-2~nd17.10+1_all.deb Size: 68892 SHA256: 10ea42adbd95c91523a2178c82059d886625406109a54bc16e04dd78ea996963 SHA1: 8e257071420b46f2eec14d75a0fb2490c1b7f3b0 MD5sum: f145400f102ac5c2740de8c2990df4e1 Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-funcsigs Version: 0.4-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-funcsigs-doc Homepage: http://funcsigs.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-funcsigs/python-funcsigs_0.4-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 12860 SHA256: 11576283dbd9b18d305c99c2487e461ba247643d13d57da719a709905fac3f35 SHA1: 817bb5b48ab7fab20e17813ef3c89471c55865a4 MD5sum: 43f4c6e6d4efdabb950d9e73a59f27eb Description: function signatures from PEP362 - Python 2.7 funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the Python 2.7 module. Package: python-funcsigs-doc Source: python-funcsigs Version: 0.4-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://funcsigs.readthedocs.org Priority: optional Section: doc Filename: pool/main/p/python-funcsigs/python-funcsigs-doc_0.4-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 20996 SHA256: daa3485f7be5b35d66906e0f6e6333c79c6440e43fb25ef0269c86ebb2966018 SHA1: c665d29e228353601260388e81890fec65122862 MD5sum: 6b3ab216f0b403fcc91aef70217074a5 Description: function signatures from PEP362 - doc funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the documentation. Package: python-future Version: 0.15.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1700 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python-future_0.15.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 335170 SHA256: 144a9d0b2403e291692254803945ace44554e80dfb7ba3576bf8bdaeb412c95a SHA1: 4937e054ac00dfcc08d9bf7a12a04d9b08dcffc8 MD5sum: da3e4eacd65f4a69d81d0d0a6168d34a Description: single-source support for Python 3 and 2 - Python 2.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 2.x module. Package: python-future-doc Source: python-future Version: 0.15.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1915 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://python-future.org Priority: optional Section: doc Filename: pool/main/p/python-future/python-future-doc_0.15.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 308272 SHA256: e06cc5dfa10697d73b49f11d05462adfa18b0c521167933fade1d65dc7bbe385 SHA1: 3bae6c30c6be13bbb477507a2e7965bc640fa60f MD5sum: 319a9c1cb9b3a8f7392d3cb2f06bdef4 Description: Clean single-source support for Python 3 and 2 - doc Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the documentation. Package: python-git Version: 2.1.8-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1653 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.1.8-1~nd17.10+1_all.deb Size: 303452 SHA256: 2c863268682e95afe064f15465756f24d5a09dfa7c64ef10e48558f54e6ce14e SHA1: 16d5388ae99b6049afef58f2de26fa9cf70d8689 MD5sum: df4c7c827e528d9e48888c4fd4bd5845 Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 2.1.8-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 967 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_2.1.8-1~nd17.10+1_all.deb Size: 125606 SHA256: 59d1b1fd55c18ae99a5e0524dbd3913ae961dccd14631db9eef7a06724b26ba5 SHA1: b88523241b7f2c673e33e254a034ff468c234bc0 MD5sum: 2589e14041dca8b12cf9c5462a9d762b Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-gitdb Version: 2.0.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 215 Depends: neurodebian-popularity-contest, python-smmap, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Provides: python2.7-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: python Filename: pool/main/p/python-gitdb/python-gitdb_2.0.0-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 46192 SHA256: 21fa7525d71e4bbb8f16a652121789882b7887c737beb40950a2df607f3337c6 SHA1: 80100769bc558ac928e0f496e4df1ac49e8c20aa MD5sum: e1712825719e759b22911f074deeeb9c 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 for Python 2. Package: python-github Source: pygithub Version: 1.26.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 633 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-pygithub Replaces: python-pygithub Provides: python-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python-github_1.26.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 44860 SHA256: 20a30351a3784d00ce4ec70f8addec0c3859e54cf2dfcdeed9f95a84316b7671 SHA1: f2f7de89038878fee0c6580a14dfb0cb32ee680a MD5sum: ee2da45393a502adcfc5d08e41b2e5f1 Description: Access to full Github API v3 from Python2 This is a Python2 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python-httpretty Version: 0.8.14-1~nd17.10+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~nd17.10+1_all.deb Size: 20952 SHA256: 2422111d2408734d84ed59cbc1b6d54b6d084a724d08dfffcbb59b4f8b269de7 SHA1: 9a8c4c2139c23c5ae127ed089ab8cfa5a144594c MD5sum: aaa2e358e5191bd5783549115c41c2af 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-humanize Version: 0.5.1-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python-humanize_0.5.1-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 12974 SHA256: 7684cf4c22be8678311d746b7ec886be6ae4f190860bdb845f4755dd4a54dd04 SHA1: 8be42893010167374ad3b778c5e74196f4e58621 MD5sum: 0b1c9b037b21578a48bce37949ffa50c Description: Python Humanize library (Python 2) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 2 version of the package. Package: python-hypothesis Version: 3.44.1-1~bpo9+1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 610 Depends: neurodebian-popularity-contest, python-enum34, python-attr, python-coverage, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python-hypothesis_3.44.1-1~bpo9+1~nd17.10+1_all.deb Size: 120402 SHA256: 91170a72f97073e55e0d31c4d5e58bb117ea051844a6f28ef767ea43f889defa SHA1: e77d8f41efc7a2299d81b5b5531d34fd1f69e496 MD5sum: 267b3e7426c1059157a8acb6adaefa07 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~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1082 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: doc Filename: pool/main/p/python-hypothesis/python-hypothesis-doc_3.44.1-1~bpo9+1~nd17.10+1_all.deb Size: 143884 SHA256: df9cb6ebff88574d40a182c8cba140ad116cb702296c97222ee7480381301312 SHA1: 500e4e44d43a5a055741407c8e4892e3d865ca1b MD5sum: aa2b8a7edd2504407777608d46215761 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-indexed-gzip Source: indexed-gzip Version: 0.8.6-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1209 Depends: neurodebian-popularity-contest, cython, python-numpy (>= 1:1.10.0~b1), libc6 (>= 2.4), zlib1g (>= 1:1.2.2.4), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python-indexed-gzip_0.8.6-1~nd17.10+1_i386.deb Size: 294026 SHA256: dad851c5099b715e90630496ae197fa328c128ecd6e8356f7720bbfb53eb8ee0 SHA1: 39e72f3d9e146ad05b68129a590a638cceaf0345 MD5sum: a4ca3db0d1bf94ea41cc0b92b0b1606f Description: fast random access of gzip files in Python Drop-in replacement `IndexedGzipFile` for the built-in Python `gzip.GzipFile` class that does not need to start decompressing from the beginning of the file when for every `seek()`. It gets around this performance limitation by building an index, which contains *seek points*, mappings between corresponding locations in the compressed and uncompressed data streams. Each seek point is accompanied by a chunk (32KB) of uncompressed data which is used to initialise the decompression algorithm, allowing to start reading from any seek point. If the index is built with a seek point spacing of 1MB, only 512KB (on average) of data have to be decompressed to read from any location in the file. . This package provides the Python 2 module. Package: python-joblib Source: joblib Version: 0.13.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 866 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_0.13.0-1~nd17.10+1_all.deb Size: 190374 SHA256: 5fd537b23e4152c17c450a46343509454cb85704e4df0f204400ccf50927d6b6 SHA1: a1ab0d187a0e8ea0ad294bd42a6d12e6f7fe2dbf MD5sum: d5bd2675390abbd1e028bd1644392a7b Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 2 version. Package: python-jsmin Version: 2.2.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/tikitu/jsmin Priority: optional Section: python Filename: pool/main/p/python-jsmin/python-jsmin_2.2.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 21624 SHA256: 2f50e492460f259d8e4731f8caabe4af8a60b1fdd6f56ca32dab52dad06f0252 SHA1: 74d259b5fa5d31d86f047e7bfabbe595c21aab3f MD5sum: 3a922bec194449252ba47c6b22a86d97 Description: JavaScript minifier written in Python - Python 2.x Python-jsmin is a JavaScript minifier, it is written in pure Python and actively maintained. . This package provides the Python 2.x module. Package: python-json-tricks Source: json-tricks Version: 3.11.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python-json-tricks_3.11.0-1~nd17.10+1_all.deb Size: 24534 SHA256: e1cc9e2aa1682d13cb8c2a305cdb479164ce2bbb3739ea443aeffb1e98eac979 SHA1: 573d153c23df0b4ccdaf2d0b2fb8461c0696e510 MD5sum: 27a146baf8b7e5ecce76c143a18bb446 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-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 145 Depends: neurodebian-popularity-contest, libexempi3, python-tz, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python-libxmp_2.0.1+git20140309.5437b0a-4~nd17.10+1_all.deb Size: 23302 SHA256: e383b18dab2f8c6c12ef91ad693af6a2924bc35e9084b12be800fe4e5e4c14d5 SHA1: 4d86d1dac56247930e2ba9c99df66cf40c0132d6 MD5sum: 56eed201b0a339b056f52007ec2af5a1 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~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 239 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~nd17.10+1_all.deb Size: 37178 SHA256: 07d62a452bf3b76967db1e6aef492d4160752a398e4bc009bc1bf641dee4d72f SHA1: 9bc3a733ca82825741967f827fa4a4fd02caad1d MD5sum: 33771cb1664f20003c530c879cf3aa35 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-mne Version: 0.15.2+dfsg-2~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11266 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-sklearn, python-matplotlib, python-joblib, xvfb, xauth, libgl1-mesa-dri, help2man, libjs-jquery, libjs-jquery-ui, libjs-d3 Recommends: python-nose, python-pytest, python-nibabel, mayavi2 Suggests: python-dap, python-pycuda, ipython Provides: python2.7-mne Homepage: http://martinos.org/mne Priority: optional Section: python Filename: pool/main/p/python-mne/python-mne_0.15.2+dfsg-2~nd17.10+1_all.deb Size: 4959908 SHA256: 09d4db5624326e218f8cd6f749d153dd7dbd2c093df0fd93dc3c5e838cd84623 SHA1: 91ddeec690c848a7aa0c88f77f54db09f43a2ff5 MD5sum: 0440f76c31582a5a687b0007d9441f54 Description: Python modules for MEG and EEG data analysis This package is designed for sensor- and source-space analysis of MEG and EEG data, including frequency-domain and time-frequency analyses and non-parametric statistics. Package: python-monotonic Version: 1.1-2~nd17.10+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~nd17.10+1_all.deb Size: 5440 SHA256: af7c5479da1e50cf1536e4b471295dc7072d6013d566fac184edd60b37a35f03 SHA1: b9d8df2faac3c3ce8056699ece8be1f47720ea1b MD5sum: a1843cdfb02a9ae55c48508647aa2841 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-msgpack Source: msgpack-python Version: 0.4.8-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 239 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4) Provides: msgpack-python Homepage: https://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python-msgpack_0.4.8-1~nd17.10+1_i386.deb Size: 65818 SHA256: e5103af5e16e9859ced48602a905d4629b30476ece12f49c61e43afe4ffb00fa SHA1: fe0f780ebfaa85d8a965b26a8749161bcc6b05a9 MD5sum: 5bb39c3ccf6b9284ea634cd454d1f424 Description: Python implementation of MessagePack format MessagePack is a binary-based efficient object serialization format. It enables the exchange of structured objects between many languages like JSON. But unlike JSON, it is very fast and small. . This package contains a Python extension module implementing the MessagePack format. Package: python-mvpa2 Source: pymvpa2 Version: 2.6.5-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8602 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.5-1~nd17.10+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit, python-mock Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.6.5-1~nd17.10+1_all.deb Size: 5108212 SHA256: 7887da8177a226cbe5df477ea63898e3e852742753ecae33627004a43cf03e79 SHA1: cdb87fbff7469c79481d2362dd3fe5b859eed246 MD5sum: 4433920bc2d18f5618514c843b3f1e99 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~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36810 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~nd17.10+1_all.deb Size: 4834924 SHA256: 87715bf0e11e9ae7060245b79f768b77d10c640ce9faaaa954d37ca00c788826 SHA1: 05781e82a797a8fbca3bcc8530577b0b69a7666e MD5sum: 7f20e82fe2054a4fd9d2f5e8b20f6999 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-mvpa2-lib Source: pymvpa2 Version: 2.6.5-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5), libsvm3, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7~) Provides: python2.7-mvpa2-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2-lib_2.6.5-1~nd17.10+1_i386.deb Size: 51972 SHA256: 5be6bbe1e6fc1a76ed02df193d27fd0ad6990139f2819c99b41ae7859f50be04 SHA1: a7a5c910675369ca7576128b37bd6eba5c9e8102 MD5sum: 6c7eb91feffaf48d6cadf5d1ec36aeaa Description: low-level implementations and bindings for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. . This is a package of a development snapshot. The latest released version is provided by the python-mvpa-lib package. Python-Version: 2.7 Package: python-nibabel Source: nibabel Version: 2.3.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65238 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy, python-six, 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_2.3.2-1~nd17.10+1_all.deb Size: 2593786 SHA256: 305a0c7a4ecf28b8ff5eb1566e1088438bce7d00f8b1f13f936fda09c3b70b14 SHA1: 700fc21d3073d059a5042d657b32190b5f1b9023 MD5sum: 7cc111edb0d0bf998949e9783dcdeacb Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.3.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9122 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.3.2-1~nd17.10+1_all.deb Size: 1630188 SHA256: 73b7662c760b39b027689227bbc5407e0dbbc0b2e34654229a62ee8b3a315176 SHA1: 591960d312a430bf8d69782ecec12b97915af79b MD5sum: 1324c6748dc6a1bc98d61d0ea3f94ce3 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~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3547 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.2-2~nd17.10+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.4.2-2~nd17.10+1_all.deb Size: 781284 SHA256: c35af07e45664b11889c15c7f3671c41cfac1223bd6a66f4c2818a1ced7e39b6 SHA1: fe627b0196a3de6c8c61c49636dca4e1ba26eead MD5sum: b0511a43f0a9023a23c5069456a4938c Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.4.2-2~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9400 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.2-2~nd17.10+1_all.deb Size: 1902434 SHA256: e317576022d937397c8f08cafb84a77c6dad2c9650471b0b6f394deb42b3b9d4 SHA1: 58bf18857d750f1ff3d30bddde73c5f8c54836c2 MD5sum: ef1b24821e68a3dc5bfcc1fc59b2dba9 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-nipy-lib Source: nipy Version: 0.4.2-2~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2772 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7) Provides: python2.7-nipy-lib Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy-lib_0.4.2-2~nd17.10+1_i386.deb Size: 572298 SHA256: e07ee125eed6adf52d9dc0f3b7d8791c88f9467b2f42b84cf623b61e669d653e SHA1: 7fa05a6573109648db4a69a9e1f30afb4f5a9342 MD5sum: 6b233e959d17c080ff7714679b75a9e9 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipy-lib-dbg Source: nipy Version: 0.4.2-2~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3024 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7), python-nipy-lib (= 0.4.2-2~nd17.10+1) Provides: python2.7-nipy-lib-dbg Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg_0.4.2-2~nd17.10+1_i386.deb Size: 644542 SHA256: daee62421b558fcb1253dfb31d9667b8ed1da4c11a9128a44b7292532deeaea6 SHA1: 3412dbae7a32b4406c9cec54f3bcf9925bc96be2 MD5sum: 0cf6e04d7b38220fe46d5b5a9709db62 Description: Analysis of structural and functional neuroimaging data 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. Python-Version: 2.7 Package: python-nipype Source: nipype Version: 1.1.8-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10983 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_1.1.8-1~nd17.10+1_all.deb Size: 1895904 SHA256: 9ded832238d3be0648ab1cd1e9d449774bbb93596b42c64f263b8ae5ed991b39 SHA1: c1ad2c39019aaeb8757c902efe09a5e2f877c21c MD5sum: d2b8afc134004f3a67a86851de0bb669 Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 1.1.8-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38952 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.1.8-1~nd17.10+1_all.deb Size: 17790868 SHA256: 2db541dd2f03d83a3a0dcc155e42f77b9650529888afeb8fbfc94154125ce308 SHA1: 93b3f3678eff1626bde883f3a1b63b4b689db141 MD5sum: 7a2a04415b81a58c87ee5c4f0216f264 Description: Neuroimaging data analysis pipelines in Python -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-nitime Source: nitime Version: 0.7-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9377 Depends: neurodebian-popularity-contest, python-matplotlib, python-numpy, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-nose, python-nibabel, python-networkx Homepage: http://nipy.org/nitime Priority: extra Section: python Filename: pool/main/n/nitime/python-nitime_0.7-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 2543020 SHA256: 1405ea130dcbf88090fcc0dc0f98d9d1497ff02f7ba0c141d9d81d75e6a593dc SHA1: addc0183ecef2d62f85f8213b2838acc4561aa0c MD5sum: fdad43b77f7e2640304b57ee2d508d11 Description: timeseries analysis for neuroscience data (nitime) Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. Package: python-nitime-doc Source: nitime Version: 0.7-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6923 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nitime Homepage: http://nipy.org/nitime Priority: extra Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.7-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 4838026 SHA256: a9956d842255425736c546acfeb98af182553dec83550f46b69384ac31768e34 SHA1: 53b68041ec149b054495caf3170d167d77bfb717 MD5sum: 83b5919f2d8af2045f4d8f9b32111bbe Description: timeseries analysis for neuroscience data (nitime) -- documentation Nitime is a Python module for time-series analysis of data from neuroscience experiments. . This package provides the documentation in HTML format. Package: python-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-coverage (>= 3.4), python-nose, python:any (>= 2.6.6-7~) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python-nosexcover_1.0.10-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 5250 SHA256: dd2c112e6507583425423172cc52f2e90ea43fc89d7aa76a70659d046e7803dd SHA1: ae6143f1468b67b7a0b0ea52acf3228b94ed5b92 MD5sum: 574bb96884630bb9344521205ea1c6f2 Description: Add Cobertura-style XML coverage report to nose A companion to the built-in nose.plugins.cover, this plugin will write out an XML coverage report to a file named coverage.xml. . It will honor all the options you pass to the Nose coverage plugin, especially --cover-package. Package: python-numexpr Source: numexpr Version: 2.6.2-1~nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 416 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python-numexpr_2.6.2-1~nd17.04+1+nd17.10+1_i386.deb Size: 119116 SHA256: d478fdd0d6714321b899191fc1b156e26fe242d8e14aa89793e18b7ded9fe1e4 SHA1: 10afc1401a38a9d38ace4a8fd3a84f97664df69b MD5sum: 91dfb56a57f881f2a2f0511c40bdcfd3 Description: Fast numerical array expression evaluator for Python and NumPy Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This is the Python 2 version of the package. Package: python-openpyxl Source: openpyxl Version: 2.4.9-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1525 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-et-xmlfile, python-jdcal, python:any (>= 2.6.6-7~), python-lxml (>= 3.3.4) Recommends: python-pytest, python-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_2.4.9-1~nd17.10+1_all.deb Size: 221724 SHA256: fb648a0011c8fbe2ce1c6d099868c8bedc78c016d3a18203353a815d5888d09c SHA1: ac337f2cf0872711c084b36b4f1589239d1d1c70 MD5sum: 85d13a5d281a1e658f63f64ab083e31a Description: Python module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-packaging Version: 16.2-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, python-pyparsing, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python-packaging_16.2-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 17122 SHA256: 2b70b02f483b9ac7455201be114896754ef3e9a3665d8a0109ebe83d512d616e SHA1: 2381a9de2fbb0339cc96baf6445a4db95162b420 MD5sum: 853f6e251d75b94e4fb7e1c43670f458 Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python-pandas Source: pandas Version: 0.23.3-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12452 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-dateutil, python-numpy (>= 1:1.7~), python-tz, python:any (>= 2.6.6-7~), python-pandas-lib (>= 0.23.3-1~nd17.10+1), python-pkg-resources, python-six Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib, python-lxml Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.23.3-1~nd17.10+1_all.deb Size: 1745324 SHA256: fd02d723b867f2754c7bc066a9122c55cde000b92da81e9eb60e9370994c2e9c SHA1: dad0ed56c66ec494ad5eda3d300296009e669bed MD5sum: 778d4bdfb639e5133c6d5232ad0b70b1 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~nd17.10+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~nd17.10+1_all.deb Size: 18156 SHA256: 316f9b0558e4bebf3388254d3847c77a491755c812cb52bc38971d56c2ea2719 SHA1: 6a41c89e55c31ab995ecaf0e7d192fd6ab26d93f MD5sum: 61a062bd6a6ed11e265cb8b71624333f Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-pandas-lib Source: pandas Version: 0.23.3-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 15746 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7) Provides: python2.7-pandas-lib Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.23.3-1~nd17.10+1_i386.deb Size: 2666598 SHA256: 0f57ba32a24f679aac58d35c4f85b1471fd4f0fe19f2dd11275cebd2f2cbe0ce SHA1: f1224a66493e66686d69a41187a80ec834e267d5 MD5sum: 4218a0d9e686048a36feaba538be7c55 Description: low-level implementations and bindings for pandas This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 2 version. Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 780 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-six, python:any (>= 2.6.6-7~) Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.5.0+git13-g54dcf7b-1~nd17.10+1_all.deb Size: 168318 SHA256: efec96aeccfa09c0131f22bbde51684ceca4873b3f4fd127f65ae794363c9caa SHA1: 688e5656c4ae4b5fb75a2b58897f06c0efcb6fd7 MD5sum: a29c51f9a455364ae29ae3fa02f8e0ae 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~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1061 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-patsy Homepage: http://github.com/pydata/patsy Priority: optional Section: doc Filename: pool/main/p/patsy/python-patsy-doc_0.5.0+git13-g54dcf7b-1~nd17.10+1_all.deb Size: 233048 SHA256: 61448cb899f643faaec9ead85aa6bb04c3f4b400678fa9d8bac3402f393b459b SHA1: 491ee2fdb557df6f5e2154d3d19a09b8e6399f36 MD5sum: 0fc51249dbe63035a0675725563685a4 Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 441 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 141480 SHA256: 89c5fc894e1e5acc21b6fe40cfc0b46fa397e3f10571b57ad296f9be163544e4 SHA1: ced1b28c6c1edceffb5230199b04d0476a1fc45e MD5sum: 100fe882f5a1f02d33cde5884dabed9a Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: python-pprocess Source: pprocess Version: 0.5-2~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-pprocess Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-2~nd17.04+1+nd17.10+1_all.deb Size: 83180 SHA256: dfeaff2e801be3d62b47328e0652bd79471ec610851c9094e4954c9bb1574df6 SHA1: 57d4609e5c8e1a005170182c0568d8d24bed8c14 MD5sum: 27dd597ed0be2dc7f922a046a5b6f017 Description: elementary parallel programming for Python The pprocess module provides elementary support for parallel programming in Python using a fork-based process creation model in conjunction with a channel-based communications model implemented using socketpair and poll. On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Package: python-props Source: props Version: 0.10.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 651 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-matplotlib, python-numpy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-props Priority: optional Section: python Filename: pool/main/p/props/python-props_0.10.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 117388 SHA256: 0f6859d2cdbfcdb919673efa923c7596b7daea6cf6004ebb0a3aa226af76528f SHA1: a7f401cb2052cd3294d6c105cefe8feb0e29f6e5 MD5sum: 19a8f1224dccad7c68589b1a53223ba4 Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-prov Version: 1.5.0-1+nd1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1951 Depends: neurodebian-popularity-contest, python-dateutil, python-lxml, python-networkx, python-rdflib, python-six (>= 1.9.0), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-prov-doc, python-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python-prov_1.5.0-1+nd1~nd17.04+1+nd17.10+1_all.deb Size: 100672 SHA256: da97103dcbe2b1e95258222f8586f83c6078f9dd28d7724074fce685a53b0be9 SHA1: 74e9660862bbc19371e1f61d58aab3e29d20bf4c MD5sum: f648cda85213aac08ef79f4a7771cc83 Description: W3C Provenance Data Model (Python 2) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 2. Package: python-prov-doc Source: python-prov Version: 1.5.0-1+nd1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 947 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/trungdong/prov Priority: optional Section: doc Filename: pool/main/p/python-prov/python-prov-doc_1.5.0-1+nd1~nd17.04+1+nd17.10+1_all.deb Size: 74266 SHA256: f67a8f637f45d2be7bdf33a86a4118cef9b1e38c584033c97a1fb87392d3362c SHA1: 581ba25166b920c92e8329b2bc3fd557c9645520 MD5sum: 79e57eb2f8987fd298130b76abf1fb78 Description: documentation for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the documentation for the prov library. Package: python-py Version: 1.4.31-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Suggests: subversion, python-pytest, python-pytest-xdist Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python-py_1.4.31-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 82286 SHA256: bbfa7a36f972262a1403d730ada2762dc78973e79d9079a27f406287054474dd SHA1: 449d9a549ca97fad3286cf9f97132109e3dc0806 MD5sum: a64cf81851c9e335f727431e85d45df0 Description: Advanced Python development support library (Python 2) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 2 modules. Package: python-pydicom Source: pydicom Version: 1.2.1-1~nd17.10+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~nd17.10+1_all.deb Size: 4397462 SHA256: b7cfb57a5a4d08cbc03de670d707c2c8b881f02e6d5cb4112fd3a6e597304eaf SHA1: 9d14339a520210ee1a255903802599e128deaa94 MD5sum: 23374a8c9e4c47b818a10b88b190c95c 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~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2794 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Breaks: python-dicom-doc (<< 1~) Replaces: python-dicom-doc (<< 1~) Provides: python-dicom-doc Homepage: https://pydicom.github.io Priority: optional Section: doc Filename: pool/main/p/pydicom/python-pydicom-doc_1.2.1-1~nd17.10+1_all.deb Size: 346310 SHA256: 75041a1d663b54ae14cb577dfb96dedbeb4f25c6ceeeeff65dfd88a12d681a91 SHA1: 232d2325d704fd6f654ff2652cfbcc9595f9dd4a MD5sum: 705464c6a6b7355c62070626c741e586 Description: DICOM medical file reading and writing (documentation) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package contains the documentation. Package: python-pydot Source: pydot Version: 1.2.3-1.1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 90 Depends: neurodebian-popularity-contest, python-pyparsing (>= 2.0.1+dfsg1-1), python:any (<< 2.8), python:any (>= 2.7.5-5~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python-pydot_1.2.3-1.1~nd17.10+1_all.deb Size: 20422 SHA256: d4c83f21b7bf770ea6b71c66365c9378a179efb9c39b4bcae02f90b7ea5e4086 SHA1: c5257c648db9dae6bf3b2dd0ea7565a802309a29 MD5sum: 28ca71ddce0345c5f6f1313a7fd65a21 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-pydotplus Version: 2.0.2-2~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python-pyparsing (>= 2.0.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python-pydotplus_2.0.2-2~nd17.04+1+nd17.10+1_all.deb Size: 20388 SHA256: 947f14a27048faced40659be4f7b52a1b89c6139aa6b972bddd101c802f2c8d7 SHA1: 3bccc11a7acf106261e3533621d3bea326fdec88 MD5sum: a5bdd79ff37bad6020d0e517529aeb5b Description: interface to Graphviz's Dot language - Python 2.7 PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 2.7 module. Package: python-pydotplus-doc Source: python-pydotplus Version: 2.0.2-2~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 525 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-pydotplus/python-pydotplus-doc_2.0.2-2~nd17.04+1+nd17.10+1_all.deb Size: 45270 SHA256: f81387677f1d8c6cab7a86b360945e9a79c2eaa47c7e86102a2e296ce8b250f8 SHA1: eee4bdace3117d0efeef1f9bdd7acaaf6972ea91 MD5sum: 7b479cff60b6d9f238d2e012304c803e Description: interface to Graphviz's Dot language - doc PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the documentation. Package: python-pyglet Source: pyglet Version: 1.3.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7027 Depends: neurodebian-popularity-contest, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libgtk2.0-0, python-ctypes | python (>= 2.5), python-future, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: libasound2 | libopenal1 Provides: python2.7-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.3.0-1~nd17.10+1_all.deb Size: 1424026 SHA256: 7fd3372b683e1a91ee3ea4bff9d8572d82b4dc517aa4530a188da48010fa3597 SHA1: 2e0a652d714e85d617b2190924c179fcb0a8b594 MD5sum: 9c652b50eb13af23f607bf2828299399 Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-pygraphviz Version: 1.3.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 386 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libcgraph6, graphviz (>= 2.16) Suggests: python-pygraphviz-doc Homepage: https://pygraphviz.github.io/ Priority: optional Section: python Filename: pool/main/p/python-pygraphviz/python-pygraphviz_1.3.1-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 74876 SHA256: 7d572d7937ffffad2ff5fcd61c0b6a65d7528bcd530202b67ca39c43db4eccb5 SHA1: 385268674fb0a6f75378b4bb788bceea3123b0b6 MD5sum: cb84a1e7ce395a8f89827f7ab9c20496 Description: Python interface to the Graphviz graph layout and visualization package Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. Package: python-pygraphviz-dbg Source: python-pygraphviz Version: 1.3.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 251 Depends: neurodebian-popularity-contest, python-pygraphviz (= 1.3.1-1~nd90+1+nd17.04+1+nd17.10+1), python-dbg, libc6 (>= 2.4), libcgraph6 Homepage: https://pygraphviz.github.io/ Priority: extra Section: debug Filename: pool/main/p/python-pygraphviz/python-pygraphviz-dbg_1.3.1-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 109016 SHA256: d9aabecbf1dfeb015113850019592b9ccdf2c32a3c6b375273063ccb669a4f7d SHA1: 3a6d16a4d1a5b3fe0194603901aa3ecbd640efda MD5sum: 0e9e5de78f30a605277b9a74c0173b24 Description: Python interface to the Graphviz graph layout and visualization package (debug extension) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains the debug extension for python-pygraphviz. Build-Ids: 110b1b63980b9ea548b70a92e8aca6c86694d234 Package: python-pygraphviz-doc Source: python-pygraphviz Version: 1.3.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 310 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://pygraphviz.github.io/ Priority: optional Section: doc Filename: pool/main/p/python-pygraphviz/python-pygraphviz-doc_1.3.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 66108 SHA256: 7d74a0f528b16327dbab92941f17c22031c924a3a820aaef80ba993cddebfc43 SHA1: d6aabc7e84e7ab49b1c6843338e3093283a233e4 MD5sum: 69c0c26d2782de5c143edfc22ce2e454 Description: Python interface to the Graphviz graph layout and visualization package (doc) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains documentation for python-pygraphviz. Package: python-pynwb Source: pynwb Version: 0.5.1-1~nd17.10+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 (>= 2.7.5-5~) Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python-pynwb_0.5.1-1~nd17.10+1_all.deb Size: 98230 SHA256: 64251c23f98e4b3a92c411b3ffc2fdb20b0fe6d3a6581dab0c7cfac3081856ca SHA1: fc54d0b4a4263665e88291dc6d49ebef8dcec3d7 MD5sum: 4f2250aca175815693dda098d9563ec2 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~nd17.10+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~nd17.10+1_all.deb Size: 9436 SHA256: 5ae22a9e1794a63e34414f5deee9bf20ccd6b0a21e5bc829a31e01fd3e2ff521 SHA1: 7f93636c3930e3b0ba3a3217a8ba405e11d619ad MD5sum: 477bb96af18fca9360d19a9519ba6971 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-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 31 Depends: neurodebian-popularity-contest, python-pytest, python-tornado, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python-pytest-tornado_0.4.4-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 5730 SHA256: 0c83131dc189bce5ffde7a794e9c569adba5878f5b38d7ea066b1a3754fe5706 SHA1: 4d6bf90951d958434798ec0136ffd395f5ae2d81 MD5sum: 215766ae1a184201100f6efbaee97d93 Description: py.test plugin to test Tornado applications pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 2 code. Package: python-rdflib Source: rdflib Version: 4.2.1-2~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1240 Depends: neurodebian-popularity-contest, python-isodate, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-sparqlwrapper (>= 1.7.6~), python-html5lib Suggests: python-rdflib-doc, python-rdflib-tools Provides: python2.7-rdflib Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python-rdflib_4.2.1-2~nd17.04+1+nd17.10+1_all.deb Size: 238100 SHA256: 0557a9c1fcf472168dfea5876b3dbee5587b22f770ef9c8820def47104ae7212 SHA1: 5fa3787bc2d9aedc5cd15e64bc5d0cf43648ffea MD5sum: c1650fa4dbdd196836f30dbc5641444e Description: Python library containing an RDF triple store and RDF parsers/serializers RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains the Python 2 version of RDFLib. Package: python-rdflib-doc Source: rdflib Version: 4.2.1-2~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8131 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.5.6-2) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: doc Filename: pool/main/r/rdflib/python-rdflib-doc_4.2.1-2~nd17.04+1+nd17.10+1_all.deb Size: 587288 SHA256: 55ae7029f2b15f8899c2dcd3317e5bb2ff43f40565e281c9b6e18f0c2f3bdcbe SHA1: 0c1ba42f965a46652b1344e215ccb7bed86b7fc6 MD5sum: 191053cf74e04eb6fbdf2d690d265a3a Description: Python library containing an RDF triple store [...] (documentation) RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This is the common documentation package. Package: python-rdflib-tools Source: rdflib Version: 4.2.1-2~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 Depends: neurodebian-popularity-contest, python, python-rdflib (>= 4.0.1-1) Breaks: python-rdflib (<< 4.0.1-1) Replaces: python-rdflib (<< 4.0.1-1) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python-rdflib-tools_4.2.1-2~nd17.04+1+nd17.10+1_all.deb Size: 11908 SHA256: 6d1b47c5da265c4beef7b8f543d532e04a1e59575810a9161c6f11f1c0259612 SHA1: f2d659ae1d5c5835c1b2a3834b36fd80c1c89afc MD5sum: 79fc78a1e479343630be486b57654d06 Description: Python tools for converting to and from RDF RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains some executable tools. Package: python-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python-urllib3 (>= 1.12), python:any (<< 2.8), python:any (>= 2.7.5-5~), ca-certificates, python-chardet Suggests: python-ndg-httpsclient, python-openssl, python-pyasn1 Breaks: httpie (<< 0.9.2) Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 68202 SHA256: 83c53cd46f9102ef5edfff36b6e7884bc1cdde2f16e67f4ce175a45acf222c7d SHA1: 88e48619bc7949761b55ac1c57a2c8f142d0c0a3 MD5sum: da739c4c6ebb34e0cf0ba79924a773dc Description: elegant and simple HTTP library for Python2, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts Package: python-requests-whl Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 353 Depends: neurodebian-popularity-contest, ca-certificates, python-urllib3-whl Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests-whl_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 319124 SHA256: b0ad575799c7afd2b21dc5b4ded166236293243a9f4a814e68ca836b563b4b0d SHA1: 3a1b425faebca79830b61f358e0d9617b27046c6 MD5sum: 8678cd74a382a3c0010bb3f6bab86ee9 Description: elegant and simple HTTP library for Python, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package provides the universal wheel. Package: python-rpaths-doc Source: python-rpaths Version: 0.13-1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 118 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.5.6-2) Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: doc Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd17.04+1+nd17.10+1_all.deb Size: 21902 SHA256: 33c822e0c1537e3ca94af10b090b9fef91034d21397d2a54d482eab49f25716e SHA1: fd9fa87c46abaa0286c9e005ee45b909509d2170 MD5sum: 5d65e357575babd4924700a66c1e7fca Description: documentation for rpaths rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the documentation. Package: python-scikits-learn Source: scikit-learn Version: 0.19.1-3~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.19.1-3~nd17.10+1_all.deb Size: 85550 SHA256: cb9987efacb67c44e5a4e9ed163ef4519cfe0ba36764209b547d71d7df812202 SHA1: 5c9f4517aecde3ef4e62e7c7b4c7b1dab1ab9327 MD5sum: bd83a223ab18a03f4364068bfe384f61 Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 520 Depends: neurodebian-popularity-contest, python-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-setuptools-doc Provides: python-distribute Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python-setuptools_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 202982 SHA256: 1674dd4df221fd73fcd6e79bcd6a114143ff1f5d7574ec3736febf56e51997a7 SHA1: 97773208f7e65a3b8bb330c009cff6c7608e5a55 MD5sum: 9be92ad417ec52fabccb8e23d388263e Description: Python Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: python-setuptools-doc Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1143 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: doc Filename: pool/main/p/python-setuptools/python-setuptools-doc_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 198140 SHA256: 12ee140967a1cebafe86941ec17c5f0db3beccc518054e5c29720ef015f4abd2 SHA1: 763ea9b9058520fad579968ff4e432371f14b295 MD5sum: 44716d8deab2e4e9069b9a11f89918c8 Description: Python Distutils Enhancements (documentation) Extensions to the Python distutils for large or complex distributions. The package contains the documentation in html format. Package: python-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 47 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python-setuptools-scm_1.8.0-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 10262 SHA256: 99aee554e70eed8d1c4e56b2d2a4f9d8b41936d43f06ac33547164ddf80af1af SHA1: 191640c4d0a7f2ac22d586395bf84624a7b99f4b MD5sum: 76d347df03dce733b2b25b9d32bf289f Description: blessed package to manage your versions by scm tags for Python 2 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 2. Package: python-six Source: six Version: 1.10.0-3~bpo8+1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 54 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.10.0-3~bpo8+1~nd17.04+1+nd17.10+1_all.deb Size: 11796 SHA256: c6a6f0d5f58d8f260457ff61f8a7304f12bad3f1d90052814ca13f693abb4177 SHA1: 93e921c389f30c03da3add311b3f419086bb4c46 MD5sum: c3d93d1273a0ca73e565e38861fdcdaf Description: Python 2 and 3 compatibility library (Python 2 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 2 module path. It is complemented by python3-six and pypy-six. Package: python-sklearn Source: scikit-learn Version: 0.19.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7024 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.19.2-1~nd17.10+1), python-joblib (>= 0.9.2) Recommends: python-nose, python-pytest, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.19.2-1~nd17.10+1_all.deb Size: 1457440 SHA256: 45af17e9d9a3e97b3be49bf3bc5313ec2659c0728a9d97ec622b6bbc710bd85b SHA1: 103cd526f825e26247695a7a20c53988e55c6198 MD5sum: ce250f6c6e0df8b8b9a9c4dec70b823e Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.19.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 33621 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.19.2-1~nd17.10+1_all.deb Size: 5118454 SHA256: 414187e33e3c748479d860419a8b5be02e9744c2e2115d1a522cee47ab86eb77 SHA1: 3c16089848bd5a7ad025442fab74898001a358ef MD5sum: 45eab380251e760164c1acc3b9cbab76 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-sklearn-lib Source: scikit-learn Version: 0.19.2-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6608 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~) Conflicts: python-scikits-learn-lib Replaces: python-scikits-learn-lib Provides: python2.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn-lib_0.19.2-1~nd17.10+1_i386.deb Size: 1306512 SHA256: 869827634823d4ecf9864c952c3c1ddf6affeb7a2362b45af4b54e045cebdf83 SHA1: 71b33e1df9ab8604ae020641936929f2151c8422 MD5sum: 7c1bd2e899bc5df68d597d0e6186b3e8 Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. Package: python-smmap Version: 2.0.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Suggests: python-nose Provides: python2.7-smmap Homepage: https://github.com/Byron/smmap Priority: extra Section: python Filename: pool/main/p/python-smmap/python-smmap_2.0.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 20160 SHA256: 301f6e27658245437b78a73f06bc7f0f7dc95b00d15faa234b32f799bc63905d SHA1: d54b1ee3db09fb5fd5535eb031d51195245ca223 MD5sum: 6115eb2b2940b610703bc485e874154e Description: pure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 2. Package: python-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-matplotlib, python-pil, python-sphinx Suggests: python-sphinx-gallery-doc, mayavi2, python-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery_0.2.0-1~nd17.10+1_all.deb Size: 71868 SHA256: 687571576c44910549892167a7de9d5bd8ee0ccc8a6ed8556c6da67d6359b591 SHA1: a2a5c9c09fec644ba26a3916066a4e3cf6b471b5 MD5sum: 50bc7825fe9d4b30df2fc66d9b2dfe23 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~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2665 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~nd17.10+1_all.deb Size: 1343418 SHA256: 726ebb326200012c2d01a6b36d0175c4455d96c71a4b09480adb80cdeb75afd1 SHA1: f3d31bc1d65ceb4efd81065d56bf00564e80196f MD5sum: 94c5aa3be333ef7cc67ade84970da9f4 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-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 360 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python-sphinx-rtd-theme_0.1.8-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 117324 SHA256: 52f1ba227fdb962f4e7ffb6537d96be2b69bb168ddbcc3e3b9d7bea9bfed8a19 SHA1: 88ab7e343a514b19a564fe522f16b3727d455fba MD5sum: db1e7e35a1311c124904106eb75fec48 Description: sphinx theme from readthedocs.org (Python 2) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 2 version of the package. Package: python-statsmodels-lib Source: statsmodels Version: 0.8.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1644 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.4) Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels-lib_0.8.0-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 227368 SHA256: e2918f6f89ebed27a08a3067a90d391f9a0e3c1c9bb50fb39de5c2db9f1f5dc8 SHA1: 0883c4530f0e4cd13350f4900656efcf2940ec6a MD5sum: 1e846497194107f69eaf65dfb7d0ed0c Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-stfio Source: stimfit Version: 0.15.8-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1439 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python2.7, python:any (<< 2.8), python:any (>= 2.7.5-5~), libblas3 | libblas.so.3, libc6 (>= 2.7), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:3.0), libhdf5-100, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), libsuitesparse-dev, zlib1g-dev Recommends: python-matplotlib, python-scipy, python-pandas Provides: python2.7-stfio Homepage: http://www.stimfit.org Priority: optional Section: python Filename: pool/main/s/stimfit/python-stfio_0.15.8-1~nd17.10+1_i386.deb Size: 503144 SHA256: 71e40afd24fb725919ecd062331e40763581ef06ea57c0fd0753b446ba49d2bb SHA1: a74627e9cc5b9c94adf4068d8c27f3be97503e46 MD5sum: a422ce6f20a779cd1a183be0440dc75e Description: Python module to read common electrophysiology file formats. The stfio module allows you to read common electrophysiology file formats from Python. Axon binaries (abf), Axon text (atf), HEKA (dat), CFS (dat/cfs), Axograph (axgd/axgx) are currently supported. Package: python-surfer Source: pysurfer Version: 0.7-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 197 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-nibabel, python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-pil | python-imaging, mayavi2, python-argparse Recommends: mencoder Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.7-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 42568 SHA256: b7f1a5b09b1a0bd9077b7d4d1eb7cf15384586ac1850434ef80f5dd91820d29d SHA1: b6b478a589af28fa06abfdfd831f7c9c4023e361 MD5sum: 51cf75ccfa039bf2d84db464fe14068d Description: visualize Freesurfer's data in Python This is a Python package for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi’s powerful visualization engine with a high-level interface for working with MRI and MEG data. . PySurfer offers both a command-line interface designed to broadly replicate Freesurfer’s Tksurfer program as well as a Python library for writing scripts to efficiently explore complex datasets. Python-Version: 2.7 Package: python-sympy Source: sympy Version: 1.1.1-4~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16075 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mpmath Recommends: python-pil, python-ctypes, ipython, python-numpy, python-pyglet, python-gmpy Suggests: texlive-fonts-extra, dvipng, python-sympy-doc Enhances: isympy Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/python-sympy_1.1.1-4~nd17.10+1_all.deb Size: 2575018 SHA256: 9eb0d672894f066780300e78b9780bcb28cd07ab634cf9ff719d574a28bf2f11 SHA1: 64746975c233a81cdfa1288dc642019b2be794c4 MD5sum: e2de8ceb845d9aa0a52e802c545ce709 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: 1.1.1-4~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 51202 Depends: neurodebian-popularity-contest Suggests: python-sympy Homepage: http://sympy.org/ Priority: optional Section: doc Filename: pool/main/s/sympy/python-sympy-doc_1.1.1-4~nd17.10+1_all.deb Size: 5101116 SHA256: bd54a711ef89ca21713a6041c11f85c4045b1923abe9220482c964d9352f120a SHA1: 53a5fcd95b15b849d8c38e21a8616ea459f97d7e MD5sum: df940b6f44b19eba33b848394db9f4fd 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-tqdm Source: tqdm Version: 4.11.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 179 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/tqdm/tqdm Priority: optional Section: python Filename: pool/main/t/tqdm/python-tqdm_4.11.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 49716 SHA256: db68fd65294a6bb53a18445efbfec68cd470bf2ca9f69a4b8604d7748ce463dc SHA1: 6d486ba7e5d69a083095bf907d9daa96352ae6d5 MD5sum: 24912aceea23fed42e8c62d5be227b95 Description: fast, extensible progress bar for Python 2 tqdm (read taqadum, تقدّم) means “progress” in Arabic. tqdm instantly makes your loops show a smart progress meter, just by wrapping any iterable with "tqdm(iterable)". . This package contains the Python 2 version of tqdm . Package: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Recommends: ca-certificates, python-ndg-httpsclient, python-openssl, python-pyasn1 Suggests: python-ntlm Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3_1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 65450 SHA256: bf7331a38af730a38d70e711ed8d4e8fe0b06b943f8e6a214ebffba5cb019678 SHA1: 6654abf45c19f7dbcad8ddbbb26bea6ac0a3cced MD5sum: d6e274afb0b89805644e09b1fa1f8fe9 Description: HTTP library with thread-safe connection pooling for Python urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. Package: python-urllib3-whl Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 102 Depends: neurodebian-popularity-contest, python-six-whl Recommends: ca-certificates Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3-whl_1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 92926 SHA256: d6f064422ea8ef2c0ce1395242e0af52eacc35002aa1b451c0976bf4d2523d6d SHA1: 2fe61da371ec71505a15fe92ad589928b5b2fd39 MD5sum: 3147affa834802bc8c658ac4e35d6312 Description: HTTP library with thread-safe connection pooling urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the universal wheel. Package: python-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 158 Depends: neurodebian-popularity-contest, python-contextlib2, python-mock, python-six (>= 1.5), python-wrapt, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python-vcr_1.7.3-1.0.1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 43838 SHA256: 2e2e794d7862bf7be2f36f4d048ed9d5a4684401a09842d0b3037b6dc179beb9 SHA1: e8e6f55ab15183b52056e64e917470cd656549cd MD5sum: fac8efcc39489cb76bea42a2e99a68ed Description: record and replay HTML interactions (Python library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 2. Package: python-w3lib Version: 1.11.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 58 Depends: neurodebian-popularity-contest, python-six (>= 1.6.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python-w3lib_1.11.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 14140 SHA256: 7d2bfdbda2f551cc89fcfd2548faa569a939b879017c432062d7051e84bf7a69 SHA1: 92b6ff1f0ae9745669bf23e8514e322598ba4c31 MD5sum: c3413e190e3cf1c4bd332df25a3d3b98 Description: Collection of web-related functions for Python (Python 2) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 2 version of the package. Package: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-jquery Recommends: python-simplejson | python (>= 2.6), python-openssl, python-pyinotify Suggests: ipython, python-genshi, python-pkg-resources, python-lxml, python-greenlet, python-redis, python-pylibmc | python-memcache, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python-werkzeug_0.10.4+dfsg1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 163916 SHA256: 0407cb6e0d5bbd4eba88ccf7200b8a9cbd4b23064f24735c16a85a3338f271c5 SHA1: f064bde97d0eb08b01137592549aadf9111e06f2 MD5sum: a18b5d4f5c29fa68e1ea67a1883a2b6a Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-werkzeug-doc Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2728 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Conflicts: python-werkzeug (<< 0.9.3+dfsg-2) Replaces: python-werkzeug (<< 0.9.3+dfsg-2) Homepage: http://werkzeug.pocoo.org/ Priority: extra Section: doc Filename: pool/main/p/python-werkzeug/python-werkzeug-doc_0.10.4+dfsg1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 878448 SHA256: a1d56e169335c4a5ea0a64a115dc7047d1aaaeff4583ffd3d86862de41caafb3 SHA1: 9e65f0ba9de14506b8be2f383df41e6fdf24af89 MD5sum: 39bb86d3b6cc46e077d564edbe2274e9 Description: documentation for the werkzeug Python library Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python-whoosh_2.7.4+git6-g9134ad92-1~nd17.04+1+nd17.10+1_all.deb Size: 290774 SHA256: 82f73b95f731a063c69f17910419290cd095795cfab477a935eb29879eb3711a SHA1: e5843bbd1d8e1eb7db5d07b30cd6ffacfaf97072 MD5sum: 0995578c7388d045674b30593c479c96 Description: pure-Python full-text indexing, search, and spell checking library (Python 2) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python2 library Package: python-whoosh-doc Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2213 Pre-Depends: dpkg (>= 1.17.14) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Replaces: python-whoosh (<< 2.1.0) Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: extra Section: doc Filename: pool/main/p/python-whoosh/python-whoosh-doc_2.7.4+git6-g9134ad92-1~nd17.04+1+nd17.10+1_all.deb Size: 241400 SHA256: 6544931344c8562c6572d1555b13d77379cb1c3fb6af9f07077f335a8c8667c0 SHA1: 605f1f65e36103085a71c9ad0de41a0e7b7ab82b MD5sum: 2e9e0657e1fa73f02a205b93d7dd04c9 Description: full-text indexing, search, and spell checking library (doc) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the library documentation for python-whoosh. Package: python-wrapt Version: 1.9.0-4~nd0~nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, python-six, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python-wrapt_1.9.0-4~nd0~nd17.04+1+nd17.10+1_i386.deb Size: 28288 SHA256: 7fd175275062d6d57d34adfdef1709256fa3084590ea8b63cb4c45b8d710423b SHA1: 4af0f88fd8f043a68f097e8bfca0074b467145b8 MD5sum: 306f016803fe0a22bab157adc4196a9b Description: decorators, wrappers and monkey patching. - Python 2.x 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 Python 2.x module. Package: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 460 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: doc Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd17.04+1+nd17.10+1_all.deb Size: 49694 SHA256: e8c6d9dd98b69a4581853043e908f39fe1dd788dd605672d069a6a97b8f77dc8 SHA1: f64df8e02f4309a86d701535f415b42a94619c00 MD5sum: 9929517e5531b41b004a74f6656449c6 Description: decorators, wrappers and monkey patching. - doc The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the documentation. Package: python-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 445 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python-xlwt_1.3.0-2~nd0~nd17.10+1_all.deb Size: 83824 SHA256: 3a4e92a1d4b5c84ca519833d7c399912e58463d59e0383fa6352aeaf8b4744d9 SHA1: 9b8eecf1b4314cd4f73787bb282c022c22867f82 MD5sum: 0bdad01573fd9f7ab2f4ffc9b27d1ce6 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~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 245 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~nd17.10+1_all.deb Size: 52736 SHA256: 648bd7c7df4ef2e65dc77496b8c7c74b1844227b1bf0780edb72363a38a2a887 SHA1: 36e2fa7be2a6bef83d5f2fec9c24ee449dba89cc MD5sum: 6c0eb16ea8526cf9abe6e4d599958658 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-argcomplete Source: python-argcomplete Version: 1.0.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python3-argcomplete_1.0.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 21112 SHA256: 919296708a30d29e2de88234e8a6983c0e5719e06b976072532c8470c5577c95 SHA1: ed86814d3ce3a981f982bda5b2030ca87e50db81 MD5sum: 4d31540773d170c41c885393a5e219ac Description: bash tab completion for argparse (for Python 3) Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 3.x. Package: python3-boto Source: python-boto Version: 2.44.0-1~nd17.10+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~nd17.10+1_all.deb Size: 741038 SHA256: 648c745dbecc25c7a944659f2be972cb0dca043435d8812e33b45d648deed577 SHA1: 14fb9d3bbd0f9fb7857ba9efb70ed5511dc28ec1 MD5sum: e1f59fed83576d5a2e40a4c44ad40bf7 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-boto3 Source: python-boto3 Version: 1.2.2-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 716 Depends: neurodebian-popularity-contest, python3-botocore, python3-jmespath, python3:any (>= 3.3.2-2~), python3-requests, python3-six Homepage: https://github.com/boto/boto3 Priority: optional Section: python Filename: pool/main/p/python-boto3/python3-boto3_1.2.2-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 58152 SHA256: 69494533923bf9382ecdc18d3c0929ec07f36e3679a7f4735bf7fa656deb9b6c SHA1: f3e59cea9a0ceb5ef675b6932eee51b7488375be MD5sum: eda1295bb836362452f3cbcbe2bcd989 Description: Python interface to Amazon's Web Services - Python 3.x Boto is the Amazon Web Services interface for Python. It allows developers to write software that makes use of Amazon services like S3 and EC2. Boto provides an easy to use, object-oriented API as well as low-level direct service access. Package: python3-bz2file Source: python-bz2file Version: 0.98-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python3-bz2file_0.98-1~nd17.10+1_all.deb Size: 7914 SHA256: ab8738bf963d0045f019b8156fff53565d97d5e5997a79f456bc78dc9a1807e4 SHA1: 47f3724b4cbef9b2126ed005dc2658071d22ec08 MD5sum: aaf219f0b4378513c25bd50d64447869 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-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 776 Depends: neurodebian-popularity-contest, python3-lxml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python3-citeproc_0.3.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 82018 SHA256: ec2318904ec4298b5cba3fd01ae3045708b13c0e12a8c3a562833eabda915367 SHA1: 7063156535185aff49528fd546a0584b678bd6de MD5sum: 32bbaf09141a497408d5dd8d921e0bb1 Description: Citation Style Language (CSL) processor for Python3 Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python 3 modules and the CLI tool csl_unsorted. Package: python3-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python3-contextlib2_0.4.0-3~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 8826 SHA256: 2a2b5307fd4708e0f3af93cfd2d09c25fcae4dd7aef12cce74fe125ee4aae8f6 SHA1: 2777f3bc6bfe63612371d872c119ba36b6d88420 MD5sum: 76f69f8e0f2ea1863174f4d400e86131 Description: Backport and enhancements for the contextlib module - Python 3.x contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. . It also serves as a real world proving ground for possible future enhancements to the standard library version. . This package contains the Python 3.x module. Package: python3-datalad Source: datalad Version: 0.17.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4665 Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, p7zip-full, python3 (>= 3.7), python3-annexremote, python3-distro, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3-importlib-metadata | python3 (>> 3.10), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-mock, python3-msgpack, python3-pil, python3-platformdirs, python3-requests (>= 1.2), python3-secretstorage, python3-simplejson, python3-six, python3-tqdm, python3-chardet, python3-packaging, python3:any Recommends: python3-boto, python3-exif, python3-html5lib, python3-httpretty, python3-jsmin, python3-libxmp, python3-lzma, python3-mutagen, python3-pytest, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, datalad-container, datalad-crawler, datalad-neuroimaging, python3-bs4, python3-numpy Breaks: datalad-container (<< 1.1.2) Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.17.5-1~nd+1_all.deb Size: 958872 SHA256: 1f3e16c16863bab40ba92405109ab26c78f19e3e86e2b38733a035221c4e7744 SHA1: 873da190eb5ee83576ff519c2d564e1f841abe5b MD5sum: 7a97a6f55929cc103dd60d7783a9565e Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-dcmstack Source: dcmstack Version: 0.7-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 186 Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3:any (>= 3.3.2-2~) Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python3-dcmstack_0.7-1~nd17.10+1_all.deb Size: 35330 SHA256: 00b1d5dcf1fa8962bdd13f049009228ed6d7c3e3ed0b0df2460a78b4a1990e32 SHA1: 66e5b63526299d30121633f07627f22e51abe07b MD5sum: ee211bfbea85cba64a766b5aff3392a5 Description: DICOM to NIfTI conversion - python3 package DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python3 package. Package: python3-dicom Source: pydicom Version: 1.2.1-1~nd17.10+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~nd17.10+1_all.deb Size: 4814 SHA256: 28ca52507b9423d1a6b4a3507387c468c9c5dd409b1365919bc6f4174f952d41 SHA1: a2a2f659ab6ef7cad45c99c5cb0c7dba36c6fbd3 MD5sum: dfe3724067d3015e05a86bb98ebe5cfc Description: transitional package for python3-pydicom This is a transitional package. It can safely be removed. Package: python3-docker Source: python-docker Version: 1.7.2-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, python3-requests (>= 2.5.3~), python3-six (>= 1.4.0), python3-websocket (>= 0.18.0~), python3:any (>= 3.3.2-2~) Homepage: https://github.com/dotcloud/docker-py/ Priority: optional Section: python Filename: pool/main/p/python-docker/python3-docker_1.7.2-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 27288 SHA256: 4554ad8e9d8d8a791796daa2bd0f4dc9ee0681e2b87f7accba554c9af3c657f6 SHA1: b85220053e565b745c4914145bb6e940a7941531 MD5sum: 3a76ec90ab0409f644800cf6a08a398c Description: Python 3 wrapper to access docker.io's control socket This package contains oodles of routines that aid in controling docker.io over it's socket control, the same way the docker.io client controls the daemon. . This package provides Python 3 module bindings only. Package: python3-dockerpty Source: dockerpty Version: 0.4.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-docker (>= 0.7.1) Homepage: https://github.com/d11wtq/dockerpty Priority: optional Section: python Filename: pool/main/d/dockerpty/python3-dockerpty_0.4.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 11076 SHA256: 761f8f30aae8470a1fe6e8dd76c999d162d6edb32d3f30ed4855660072ed4bec SHA1: ed0a2b1b687ced18f5230d6e433ed9d4e3e33ab4 MD5sum: 2886539fdad43827237b97aff758aa97 Description: Pseudo-tty handler for docker Python client (Python 3.x) Provides the functionality needed to operate the pseudo-tty (PTY) allocated to a docker container, using the Python client. . This package provides Python 3.x version of dockerpty. Package: python3-duecredit Source: duecredit Version: 0.6.5-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 248 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.6.5-1~nd17.10+1_all.deb Size: 53368 SHA256: d7d9bd38ea152dff637c046d9e6255d890c65d8bbbc4faaf5630c3817ef3a4ce SHA1: 8794dc0dfba27160941ebcddb54184ddd48eb369 MD5sum: c8e7aad0a0f3b823a9027fdc0fd1949b Description: Publications (and donations) tracer duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python3 -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python3-exif Source: python-exif Version: 2.1.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 130 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python3-exif_2.1.2-1~nd17.10+1_all.deb Size: 27780 SHA256: d79251bae8d40567f519353831ac51a76ae35f5eb7e83e6fecee94d56988167f SHA1: 7c8b63a76784a9d2f095262dcb275ddb430dc75d MD5sum: 63a11e0580350ca7618d1e0cd43c858f 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: 0.12.0-3~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, python3-monotonic, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python3-fasteners_0.12.0-3~nd17.10+1_all.deb Size: 13634 SHA256: 082c39ce8961714471744a0dcebe4e32c474d102a7ab5939d10396593b4ddf97 SHA1: 02cf631fbaf07e5045a73d458e3765629e550dda MD5sum: 11975ae178db4686f0c3a37695191a6f 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-fsl Source: fslpy Version: 1.2.2-2~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-indexed-gzip, python3-numpy, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-2~nd17.10+1_all.deb Size: 84264 SHA256: ca4bab30fdaef62db2b1062499e3b9437bb066c2dab97a27984cbc3c875cd1df SHA1: 70033bd31e060b662f165fc1fdebfbeb3069ec98 MD5sum: fcbac68e0945893c1b61972d76ce3f43 Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-funcsigs Source: python-funcsigs Version: 0.4-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-funcsigs-doc Homepage: http://funcsigs.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-funcsigs/python3-funcsigs_0.4-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 12936 SHA256: 94fbbc54ad45e9b026eaf72009031c5c068483fa72de730b46e75c8350c97df9 SHA1: a407a41edb77058cbd70c06707b4ead7c6c97af7 MD5sum: 4b29a72f85a24122a903f86d0219f09d Description: function signatures from PEP362 - Python 3.x funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the Python 3.x module. Package: python3-future Source: python-future Version: 0.15.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1650 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python3.6:any, python3:any (>= 3.3.2-2~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python3-future_0.15.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 333268 SHA256: 3cb9bf09edb7bb4a8bec24b1561832cea6570e5c1b15c703cd9597ba035579d6 SHA1: 8476a7d48301c80a6c8f9d7211b098af6bde5ef3 MD5sum: 552721ef56284166a2ee2209d528b216 Description: Clean single-source support for Python 3 and 2 - Python 3.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 3.x module. Package: python3-git Source: python-git Version: 2.1.8-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1650 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any (>= 3.3.2-2~) Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_2.1.8-1~nd17.10+1_all.deb Size: 303234 SHA256: 2b63e529895707d89fb9b0624e207b13b87f701349a18f7dc6edae1831332b18 SHA1: ace6b83c5736d2029ca69dfa8595e852bb615864 MD5sum: b3509e476840842299dc208b6b7902a8 Description: Python library to interact with Git repositories - Python 3.x python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 3.x module. Package: python3-gitdb Source: python-gitdb Version: 2.0.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 214 Depends: neurodebian-popularity-contest, python-smmap, python3-smmap (>> 2), python3:any (>= 3.3.2-2~) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: python Filename: pool/main/p/python-gitdb/python3-gitdb_2.0.0-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 46226 SHA256: 051248d0beb5548ce299f98e4e9d932516050f8b29057243f0ecfc7df5614350 SHA1: c612e07f9c5d1f38b44c3042df597d99277316e2 MD5sum: fba729fa03fe8dd903a2950502e636d4 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 for Python 3. Package: python3-github Source: pygithub Version: 1.26.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 630 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Conflicts: python3-pygithub Replaces: python3-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python3-github_1.26.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 44948 SHA256: 7e8944cc304e2720907770b9a53f8b355c38d9335f7347f0279c4e5b957942f5 SHA1: 23c8ca60673703ee74b29feb20c3b13a01a7f225 MD5sum: 4f289d946a74c00f44ab19a11fca0392 Description: Access the full Github API v3 from Python3 This is a Python3 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python3-httpretty Source: python-httpretty Version: 0.8.14-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python3-urllib3, python3:any (>= 3.3.2-2~) Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python3-httpretty_0.8.14-1~nd17.10+1_all.deb Size: 21034 SHA256: 4831cd27fc701b78688ce8f98aa3a1354dc713a9f71efd836cf6a70fc5cc0a40 SHA1: b47a722a7202d636b2e08a74c5dd49e452930173 MD5sum: 403027eef1823929c1233bc35b969a6d 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-humanize Source: python-humanize Version: 0.5.1-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python3-humanize_0.5.1-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 12790 SHA256: 80fda25c09b27aff55334958ebfefe4fb53dd58434bd49cca15c708b32c165ac SHA1: 785a4f40e37e51b4079f55c88102b216884aecbc MD5sum: 65838c492a34395db28cfe7321cb881a Description: Python Humanize library (Python 3) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 3 version of the package. Package: python3-hypothesis Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 610 Depends: neurodebian-popularity-contest, python3-attr, python3-coverage, python3:any (>= 3.3.2-2~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python3-hypothesis_3.44.1-1~bpo9+1~nd17.10+1_all.deb Size: 120448 SHA256: 1dd3d35221af3adb11ca37cf47e3a4bc51957f8672f0f5ba28acd01828eb347d SHA1: a70affd1b192cea2cab95360e5b4588103ec2c27 MD5sum: ba5d71110c24f50d0512c7a7af8c9dbf 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-indexed-gzip Source: indexed-gzip Version: 0.8.6-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1237 Depends: neurodebian-popularity-contest, cython3, python3-numpy, libc6 (>= 2.4), zlib1g (>= 1:1.2.2.4), python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.3.2-2~) Provides: python3.6-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python3-indexed-gzip_0.8.6-1~nd17.10+1_i386.deb Size: 302786 SHA256: e2275372419b41b3cdf5af269c2945c9d449ddcea2332e8218a6bcf2d2c60843 SHA1: 69f4a13d0a980afa858bb6af258e2cd5c0c4541f MD5sum: 5121255133a33bb7b3c645f0326e40a6 Description: fast random access of gzip files in Python Drop-in replacement `IndexedGzipFile` for the built-in Python `gzip.GzipFile` class that does not need to start decompressing from the beginning of the file when for every `seek()`. It gets around this performance limitation by building an index, which contains *seek points*, mappings between corresponding locations in the compressed and uncompressed data streams. Each seek point is accompanied by a chunk (32KB) of uncompressed data which is used to initialise the decompression algorithm, allowing to start reading from any seek point. If the index is built with a seek point spacing of 1MB, only 512KB (on average) of data have to be decompressed to read from any location in the file. . This package provides the Python 3 module. Package: python3-joblib Source: joblib Version: 0.13.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 861 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), procps Recommends: python3-numpy, python3-pytest, python3-simplejson, python3-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.13.0-1~nd17.10+1_all.deb Size: 187452 SHA256: c216c0b468abb4f94a4be59ebace04ea683624468940d036dd8b43316e1f8bd8 SHA1: 255cac3394922f2c274add0c9bbf3b7cd05c48e5 MD5sum: 140f3cca4d08c00ce60f7bcf825693ba Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 3 version. Package: python3-jsmin Source: python-jsmin Version: 2.2.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/tikitu/jsmin Priority: optional Section: python Filename: pool/main/p/python-jsmin/python3-jsmin_2.2.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 21688 SHA256: be0503605843017f8da9e1c985950e715f5b9cf42acf4917f8cf819beb1f2850 SHA1: b34e36e9df8be7f28e0b8b4443fce11b8ba003c1 MD5sum: 7b359f98dd2cae11dea9dfdb53e0c3d4 Description: JavaScript minifier written in Python - Python 3.x Python-jsmin is a JavaScript minifier, it is written in pure Python and actively maintained. . This package provides the Python 3.x module. Package: python3-json-tricks Source: json-tricks Version: 3.11.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python3-json-tricks_3.11.0-1~nd17.10+1_all.deb Size: 18916 SHA256: 30efb04625e2ad8bf289c20a7f403634723d961a34d561d5bd164d3507b41ceb SHA1: 3cebae296bdbed77ae634c42b6aef78b84e4a717 MD5sum: 4a5e7db40a6af3ebb42b5c22e867c1d8 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-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 145 Depends: neurodebian-popularity-contest, libexempi3, python3-tz, python3:any (>= 3.3.2-2~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python3-libxmp_2.0.1+git20140309.5437b0a-4~nd17.10+1_all.deb Size: 23392 SHA256: 024e156f99b7dc004272b1788374eabac4dd77a21009fd8a758f391da91ed1fa SHA1: 47ffb83fcd6ce3280659b384fec40d1aea29e2dd MD5sum: ac7f9040ff5017dfa9fac998689e0d45 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~nd17.10+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~nd17.10+1_all.deb Size: 5514 SHA256: b54d73c51f0a5a6af054876d958f6d5a0779dfbbe0cebb580d50f85e1a083c9d SHA1: 188960e4d0f55753fdc8f613c7645ad927944878 MD5sum: 4189fd240f72eeb574e3752475c691af 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-msgpack Source: msgpack-python Version: 0.4.8-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 236 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.3.2-2~), libc6 (>= 2.4) Homepage: https://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python3-msgpack_0.4.8-1~nd17.10+1_i386.deb Size: 65508 SHA256: e9893e682e722e6783bc1a173afa6f4f0d35c44d97e40daed06bf02c007fd289 SHA1: 39776e166822215cb946df7057fc1f4d21cb12d5 MD5sum: 04a420a6f6d3a61c34fd6fec77c4e5e1 Description: Python 3 implementation of MessagePack format MessagePack is a binary-based efficient object serialization format. It enables the exchange of structured objects between many languages like JSON. But unlike JSON, it is very fast and small. . This package contains a Python 3 extension module implementing the MessagePack format. Package: python3-nibabel Source: nibabel Version: 2.3.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65223 Depends: neurodebian-popularity-contest, python3-numpy (>= 1.2), python3:any (>= 3.3.2-2~), python3-scipy, python3-six Recommends: python3-dicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.3.2-1~nd17.10+1_all.deb Size: 2590306 SHA256: 799e8361c9b66f7d595a1d9a540c84587685c1acbac9a7764c95bc14a62008a3 SHA1: e7c1be789a984ac46ab06e9c0d9b1b884321677b MD5sum: 1f62192d7d732f534b2d76f8084f589b Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, python3-coverage, python3-nose, python3:any (>= 3.3.2-2~), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python3-nosexcover_1.0.10-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 5300 SHA256: 10bfb2a3176e6beb0da33603af71abf653dab6562111e02a9822285fa8d11f77 SHA1: acfee21959a60287e04c8556f648cc4b636fb76d MD5sum: f88931c0aa9581bf0b2a0e81bfc3631a Description: Add Cobertura-style XML coverage report to nose A companion to the built-in nose.plugins.cover, this plugin will write out an XML coverage report to a file named coverage.xml. . It will honor all the options you pass to the Nose coverage plugin, especially --cover-package. Package: python3-numexpr Source: numexpr Version: 2.6.2-1~nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 407 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.6~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3:any (>= 3.3.2-2~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python3-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python3-numexpr_2.6.2-1~nd17.04+1+nd17.10+1_i386.deb Size: 113536 SHA256: 6f8b201d929a4886a4c66d7a3e3ed6bed0218edbcdddb97f00717b7bd03e6e46 SHA1: a6fd82997fb2529a799f9995e5434da2a87d1674 MD5sum: 43b027b740986a543119aaf36ba0a293 Description: Fast numerical array expression evaluator for Python 3 and NumPy Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This package contains numexpr for Python 3. Package: python3-openpyxl Source: openpyxl Version: 2.4.9-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1521 Depends: neurodebian-popularity-contest, python3-et-xmlfile, python3-jdcal, python3:any (>= 3.3.2-2~), python3-lxml (>= 3.3.4) Recommends: python3-pytest, python3-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.4.9-1~nd17.10+1_all.deb Size: 220780 SHA256: d3824d64ef63fb2451c102017c4baae1459f857700325374457a8be177c6ed16 SHA1: 41a869c6580be683be6f891b2b908da72dd6bc2b MD5sum: 28f83bdf0c62a18391c251e6ce87ae7f Description: Python 3 module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python 3 module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python3-packaging Source: python-packaging Version: 16.2-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, python3-pyparsing, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python3-packaging_16.2-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 17202 SHA256: 92f5311d11b977b877fe4d14fca4cbe477ceaf53357529db90e279334709ef8b SHA1: 6f6b45ee1456c7c389309b86eaf2d5d130bc05c9 MD5sum: d8a768d2808678a99394af8afe1b76d3 Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python3-pandas Source: pandas Version: 0.23.3-1~nd17.10+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~nd17.10+1), python3-pkg-resources, python3-six Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-lxml Suggests: python-pandas-doc Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.23.3-1~nd17.10+1_all.deb Size: 1745114 SHA256: d4cb6e3a940212b262f4598185fa9535840d25e076de572177ff1e4de1440e3c SHA1: 6b4366b4ce08df21db7754f4c8b546c93d81e46d MD5sum: f0eab8c1eaba02de43b78448ac3a978f 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-pandas-lib Source: pandas Version: 0.23.3-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 15590 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.2~) Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.23.3-1~nd17.10+1_i386.deb Size: 2646172 SHA256: 1a672062e086b77469f0d7baf395e98dd30fc8850efd19c4c422b2b9405256e0 SHA1: 35ab23cb96a3ffa8ecae570c0483f05ec01fd976 MD5sum: afde47a0064f6b919627cbfc9a72f9ed Description: low-level implementations and bindings for pandas - Python 3 This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 3 version. Package: python3-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 779 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.5.0+git13-g54dcf7b-1~nd17.10+1_all.deb Size: 168356 SHA256: c753a7e9daf3fa6c2c063233dd6671a943ac4608efa8a58a3db7f8bdd1d052bb SHA1: b8afca3cab360b1d411cceca0eda387b1055e14d MD5sum: 607c57648c01f9e9f39d2d3049e2eae1 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 3 version. Package: python3-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python3-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 112086 SHA256: 12b67efa9f4dae6cb707691215257c22fc89e0ac9f76487c17f4958896fb8d2e SHA1: e7bbcdfcc8650f30b2f6b63a30dfe7cef1170b2a MD5sum: 0592db996a01c0a0d31afb913f7c10e9 Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: python3-prov Source: python-prov Version: 1.5.0-1+nd1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1951 Depends: neurodebian-popularity-contest, python3-dateutil, python3-lxml, python3-networkx, python3-rdflib (>= 4.2.1), python3-six (>= 1.9.0), python3:any (>= 3.3.2-2~) Suggests: python-prov-doc, python3-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python3-prov_1.5.0-1+nd1~nd17.04+1+nd17.10+1_all.deb Size: 100858 SHA256: 4b99218897a3580f359357bd67cd6b0c35851567a2491983d1ecccffa52d6cea SHA1: c887c86f8c84a6e531f9cdefeacd921bba2338d2 MD5sum: 0e99d0691a65d9aa81fdb197d8e60eed Description: W3C Provenance Data Model (Python 3) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 3. Package: python3-py Source: python-py Version: 1.4.31-2~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Suggests: subversion, python3-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python3-py_1.4.31-2~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 82344 SHA256: 8616f61fbdd7627d62d59cacc530d5303a2e0e27759cec5f8b9f5de440a2c88e SHA1: e38ab1490eb44ae4d07a64b5652bf31942cc93a1 MD5sum: 1a9eea4240a218f9eab6a7f269556de9 Description: Advanced Python development support library (Python 3) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 3 modules. Package: python3-pydicom Source: pydicom Version: 1.2.1-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14179 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-pil Suggests: python3-matplotlib, python3-gdcm Breaks: python3-dicom (<< 1~) Replaces: python3-dicom (<< 1~) Provides: python3-dicom Homepage: https://pydicom.github.io Priority: optional Section: python Filename: pool/main/p/pydicom/python3-pydicom_1.2.1-1~nd17.10+1_all.deb Size: 4397454 SHA256: c1a057c20157527f4243d3204d3db076ce7612e00214dc94877b0e169c603fc1 SHA1: 55566eb976cf72f6fba3498dfea26f2b427c3a08 MD5sum: 5eebcd2a3d356529a1b73c0257bb0508 Description: DICOM medical file reading and writing (Python 3) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package installs the module for Python 3. Package: python3-pydot Source: pydot Version: 1.2.3-1.1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python3-pyparsing (>= 2.0.1+dfsg1-1), python3:any (>= 3.3.2-2~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python3-pydot_1.2.3-1.1~nd17.10+1_all.deb Size: 19864 SHA256: 92c7bf55dc5cef0fd3b0dd3de084474de113845ac06fd014c193b132d51d9d5b SHA1: 90243ba353033e1a907ac43c388e6570de35dc84 MD5sum: 489112cdbc4e4ad320b225dcef87003c 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-pydotplus Source: python-pydotplus Version: 2.0.2-2~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python3-pyparsing (>= 2.0.1), python3:any (>= 3.3.2-2~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python3-pydotplus_2.0.2-2~nd17.04+1+nd17.10+1_all.deb Size: 20462 SHA256: 79edaa565fa460824b92cac2525de9437142bd47ce46fe13a721b8071e3b821f SHA1: 15949355168cb993f9c1f600527a77ee00130ec4 MD5sum: 4f4828c2e7e780558cdd0d82f235aaa3 Description: interface to Graphviz's Dot language - Python 3.x PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 3.x module. Package: python3-pygraphviz Source: python-pygraphviz Version: 1.3.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 386 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.3.2-2~), libc6 (>= 2.4), libcgraph6, graphviz (>= 2.16) Suggests: python-pygraphviz-doc Homepage: https://pygraphviz.github.io/ Priority: optional Section: python Filename: pool/main/p/python-pygraphviz/python3-pygraphviz_1.3.1-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 74682 SHA256: daa71bfdde7bebc4a20c94c4ef961c7182f1ee05b5b0ed183093701703233820 SHA1: 8264bde03eb4e8ba8f52aebf1d022f4a086c1bf7 MD5sum: 96ec03a360df412662c5c933de050846 Description: Python interface to the Graphviz graph layout and visualization package (Python 3) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains the Python 3 version of python-pygraphviz. Package: python3-pygraphviz-dbg Source: python-pygraphviz Version: 1.3.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python3-pygraphviz (= 1.3.1-1~nd90+1+nd17.04+1+nd17.10+1), python3-dbg, libc6 (>= 2.4), libcgraph6 Homepage: https://pygraphviz.github.io/ Priority: extra Section: debug Filename: pool/main/p/python-pygraphviz/python3-pygraphviz-dbg_1.3.1-1~nd90+1+nd17.04+1+nd17.10+1_i386.deb Size: 112222 SHA256: 9775c1bff6fadb73a9fc3adc7b486f906b9997073925df45a7b1ceef2d3b9bf1 SHA1: b30cb5a97b5fd1a97c62c1e9820177c450d2b33d MD5sum: 95463a41aa6899a5950cdf49f629e6a9 Description: Python interface to the Graphviz graph layout and visualization package (py3k debug extension) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains the debug extension for python3-pygraphviz. Build-Ids: fe2c9d983557ee3169ba2f4c315d66a27c7e16ad Package: python3-pynwb Source: pynwb Version: 0.5.1-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 687 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py (>= 2.7.1), python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_0.5.1-1~nd17.10+1_all.deb Size: 98332 SHA256: 005e8bb736094c9be8426024b2d8b83536a672893716cf1ed600d89ba5eff98e SHA1: d9946651a419b3f1c180b1d34185dc569d7c235c MD5sum: 524afcbe7a3df487b600ecffa96ada93 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~nd17.10+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~nd17.10+1_all.deb Size: 9540 SHA256: 71cefa3a7e7951db182204867f78216fbc7cbfc27c0ce175f8b92c63d2e07864 SHA1: c1b12c679fff953ea7728e4316cb411cf31ff87d MD5sum: eba4bf1ae3cfbca1611f24c44ff1ca88 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-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 31 Depends: neurodebian-popularity-contest, python3-pytest, python3-tornado, python3:any (>= 3.3.2-2~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python3-pytest-tornado_0.4.4-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 5802 SHA256: 6a9e45c8a5ca91dc4de657b3ab363f998cd9474d4068b7a9b33c9e7f19ac75a9 SHA1: 668324cf6cc76ec4d3b1b8ca3a5b265a44cdbe41 MD5sum: 168091052fc8c96a8e7fac92907e1fe0 Description: py.test plugin to test Tornado applications (Python 3) pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 3 code. Package: python3-rdflib Source: rdflib Version: 4.2.1-2~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1237 Depends: neurodebian-popularity-contest, python3-isodate, python3-pyparsing, python3:any (>= 3.3.2-2~) Recommends: python3-sparqlwrapper (>= 1.7.6~), python3-html5lib Suggests: python-rdflib-doc Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python3-rdflib_4.2.1-2~nd17.04+1+nd17.10+1_all.deb Size: 236760 SHA256: e4b8f4cb1b5205fb3d71887689a4c7bfd5dfdeafc79713e3e46548502a787088 SHA1: 8932c79cda63834ba7eb48de7871cfda2e8ba216 MD5sum: 7e6102daa95cb84b3eaf8d7e659edd23 Description: Python 3 library containing an RDF triple store and RDF parsers/serializers RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains the Python 3 version of RDFLib. Package: python3-reprozip Source: reprozip Version: 1.0.14-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 167 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.6~), python3-requests, python3-rpaths, python3-usagestats, python3-yaml, python3:any (>= 3.3.2-2~), libc6 (>= 2.7), libsqlite3-0 (>= 3.5.9) Multi-Arch: same Homepage: https://www.reprozip.org Priority: optional Section: python Filename: pool/main/r/reprozip/python3-reprozip_1.0.14-1~nd17.10+1_i386.deb Size: 46538 SHA256: 0a4429e917a1203370a9291054e2aad4a2220c2cfa68b617c66b5fa6b2d5a375 SHA1: 3ff35024e8ad58abacdd61397cdf59a58b8be2a9 MD5sum: d70f370e9a86fa92c1bddfdd14947d8d Description: modules for the ReproZip 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 modules for Python 3. Package: python3-reprozip-dbg Source: reprozip Version: 1.0.14-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 202 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.7), python3-dbg (>= 3.6~), python3-dbg:any (>= 3.3~), libc6 (>= 2.7), libsqlite3-0 (>= 3.5.9), python3-reprozip (= 1.0.14-1~nd17.10+1) Multi-Arch: same Homepage: https://www.reprozip.org Priority: optional Section: debug Filename: pool/main/r/reprozip/python3-reprozip-dbg_1.0.14-1~nd17.10+1_i386.deb Size: 99324 SHA256: e441624c5710f0e0416e1f825de6f9cfdbac0afe0dbb06f5ac38b02ad8e322ce SHA1: 833460162324b611b236bf3ec1d6ab18d35eb7f4 MD5sum: 20cd090af08a8b9f9854c5214edf2f1d Description: debug extensions for the ReproZip 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 debug extensions for Python 3. Build-Ids: d0f63b81f0a72f2e8ae8e1dab9b47f140c69a939 Package: python3-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python3-urllib3 (>= 1.12), python3:any (>= 3.3.2-2~), ca-certificates, python3-chardet Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python3-requests_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 68030 SHA256: 22e586a3adc48cdb667512a3d598d7d53b6d14bc91886fee4211b2b18ab6853d SHA1: 3c915ae0133df62c07ae5ab68cc450c52a99a4c0 MD5sum: db4b9965885672c1ca30f470f9bc2f7a Description: elegant and simple HTTP library for Python3, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package contains the Python 3 version of the library. Package: python3-rpaths Source: python-rpaths Version: 0.13-1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-rpaths-doc Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: python Filename: pool/main/p/python-rpaths/python3-rpaths_0.13-1~nd17.04+1+nd17.10+1_all.deb Size: 12924 SHA256: 0bcd0af2538c1931d030a475f47e2cb1d9431516240b8ca6faaeaa15cdddb66b SHA1: 936490305ba658b6fbc10ebf7137489e1c413ffc MD5sum: 37056e4adca179c7b26f5b0311c6e197 Description: cross-platform path manipulation library for Python rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the modules for Python 3. Package: python3-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, python3-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1), python3:any (>= 3.3.2-2~) Suggests: python-setuptools-doc Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python3-setuptools_20.10.1-1.1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 121970 SHA256: 045cbe49018792a6de7ca0bab9c80b42dbc0791df86eced9b2ee9f58519148a9 SHA1: 5e2653cb3d05dc13f5dd655a4db8b1588792208a MD5sum: 36ed95bc692136f19f87a91062a4a6ba Description: Python3 Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: python3-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 47 Depends: neurodebian-popularity-contest Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python3-setuptools-scm_1.8.0-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 10318 SHA256: 0ec334bc6e4b9706095f3dfed4cefe108886d5b516029f6171b48e39994d6014 SHA1: 9da41e8e4816f8a84559dbbf4c8e0a985bf23f85 MD5sum: 9d4263659d165a9f53265d1c734edb63 Description: blessed package to manage your versions by scm tags for Python 3 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 3. Package: python3-six Source: six Version: 1.10.0-3~bpo8+1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 54 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.10.0-3~bpo8+1~nd17.04+1+nd17.10+1_all.deb Size: 11870 SHA256: cf77767835d42ea7457a19751234f0edb87a7d38c09e67e5238d98cbce6a76c2 SHA1: 6865d546d08c1b1b1817ea9b8aa8a8b25a12c362 MD5sum: b9f9ebe9a90ca0e4a4040a571df8ec77 Description: Python 2 and 3 compatibility library (Python 3 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 3 module path. It is complemented by python-six and pypy-six. Package: python3-sklearn Source: scikit-learn Version: 0.19.2-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7023 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.19.2-1~nd17.10+1), python3-joblib (>= 0.9.2) Recommends: python3-nose, python-pytest, python3-matplotlib Suggests: python3-dap, python-sklearn-doc, ipython3 Enhances: python3-mdp, python3-mvpa2 Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn_0.19.2-1~nd17.10+1_all.deb Size: 1457192 SHA256: f6c1042eb7a7882e2f3b80ffb0787e4883a041b9afab04b37dac97000af880ff SHA1: b7846cb9e15ad8cc2204deedd721535d858f702d MD5sum: fc654113f45b56e178b0546a60c4fdf8 Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-sklearn-lib Source: scikit-learn Version: 0.19.2-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6161 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.19.2-1~nd17.10+1_i386.deb Size: 1231012 SHA256: a77bfda08a1f482b6c0c6afd7058a67fb4c28d427e5dc91b3bbf2d29bd60a1d2 SHA1: c52a8f413fa4127f8d4c98bdf83e11764475fe73 MD5sum: e4b264f6ad238732e6e8a53f538943ee Description: low-level implementations and bindings for scikit-learn - Python 3 This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. . This package contains the Python 3 version. Package: python3-smmap Source: python-smmap Version: 2.0.1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-nose Homepage: https://github.com/Byron/smmap Priority: extra Section: python Filename: pool/main/p/python-smmap/python3-smmap_2.0.1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 20250 SHA256: 3f0e9df7dcabb905b10e213ce7e72867333b680b09d3614107a5fd10fbf96a4b SHA1: a13c984edb45068dfdc8795c1e9f8d624a250e05 MD5sum: 2028057ae7751a26d28a8de95d2949df Description: pure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 3. Package: python3-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-matplotlib, python3-pil, python3-sphinx Suggests: python-sphinx-gallery-doc, python3-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python3-sphinx-gallery_0.2.0-1~nd17.10+1_all.deb Size: 71942 SHA256: 672808b077c7aab65c9cb0112ad39af896f3b850bfdbc4a2206117a5a338ab0b SHA1: 2de2c201b46e85dddda6ccd0d68bfc241dff1c51 MD5sum: 8b72dabf4de4ac181f62c58a3a7d2426 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-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 360 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python3:any (>= 3.3.2-2~) Recommends: python3-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python3-sphinx-rtd-theme_0.1.8-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 117378 SHA256: baa3db9f22f6a3553fa543f3d902023deffae350b70075da1b849cb7b8035f96 SHA1: d59afaa267831e0352033bd24733817b2fe09962 MD5sum: 9d417f1283ab93eb1ee4302e5d68e1db Description: sphinx theme from readthedocs.org (Python 3) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 3 version of the package. Package: python3-sympy Source: sympy Version: 1.1.1-4~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16075 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-mpmath Recommends: python3-pil, ipython3, python3-numpy Suggests: texlive-fonts-extra, dvipng, python-sympy-doc Enhances: isympy3 Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/python3-sympy_1.1.1-4~nd17.10+1_all.deb Size: 2575642 SHA256: ba7c17aad99bc013bfb8283481829857fcea159ce05dd65fd1b6cf416430d884 SHA1: 1b969e8e6d133058c67b2aa71a67c576f285c1e2 MD5sum: e9266ea4b2021926c8a76c94157054bf 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-tqdm Source: tqdm Version: 4.11.2-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 181 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/tqdm/tqdm Priority: optional Section: python Filename: pool/main/t/tqdm/python3-tqdm_4.11.2-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 50022 SHA256: ba09f911e5f7c245773aba09513d641f2b993c7c3b3682b242a69688c8bde736 SHA1: f45f9b1d9eff37ac4a23eb07bc206b3111d93b17 MD5sum: 1d19fb16e435b9adc208e749ea1c66a3 Description: fast, extensible progress bar for Python 3 and CLI tool tqdm (read taqadum, تقدّم) means “progress” in Arabic. tqdm instantly makes your loops show a smart progress meter, just by wrapping any iterable with "tqdm(iterable)". . This package contains the Python 3 version of tqdm and its command-line tool. Package: python3-urllib3 Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-six Recommends: ca-certificates Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python3-urllib3_1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 65590 SHA256: 3fc37f3540c076f3de1d441742992c285fd5ef9e26d418711fbde861bafc9200 SHA1: ed808e9ec53cc1ca7a9c48d0f5a295b1bf14b67a MD5sum: 5a5864bd6187cbb8d7d5260fc06a1743 Description: HTTP library with thread-safe connection pooling for Python3 urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the Python 3 version of the library. Package: python3-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 158 Depends: neurodebian-popularity-contest, python3-six (>= 1.5), python3-wrapt, python3-yaml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python3-vcr_1.7.3-1.0.1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 43910 SHA256: 7325d015fd9751c9132472b65d08261d1b4dc795a4f891ad25fce7d2627dd79c SHA1: f0f923f789386675090df55abb56078342850dd6 MD5sum: 4c956cc1eaea338a61ef28eef7d84397 Description: record and replay HTML interactions (Python3 library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 3. Package: python3-w3lib Source: python-w3lib Version: 1.11.0-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 58 Depends: neurodebian-popularity-contest, python3-six (>= 1.6.1), python3:any (>= 3.3.2-2~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python3-w3lib_1.11.0-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 14236 SHA256: a33a86c5d8e3115c2df41ffab4dca6717fad1b6c6b45fb548149f2c56d7a279b SHA1: 7deea4b9afcefc0d764c20f4bd0099c790731fda MD5sum: bae9fe397efd595eeb4dad83a416bd94 Description: Collection of web-related functions for Python (Python 3) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 3 version of the package. Package: python3-werkzeug Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1+nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), libjs-jquery Recommends: python3-simplejson | python3, python3-openssl, python3-pyinotify Suggests: ipython3, python3-pkg-resources, python3-lxml, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python3-werkzeug_0.10.4+dfsg1-1~nd90+1+nd17.04+1+nd17.10+1_all.deb Size: 163922 SHA256: e98c3c0d9a657e62a07685aa578af5058d2c05a0650ca51792bf8736c10b7bea SHA1: 8047f88702941a2944818797690d186ed19b5ee1 MD5sum: cb52e30c10f59851b5f34a9d3a811400 Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd17.04+1+nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python3-whoosh_2.7.4+git6-g9134ad92-1~nd17.04+1+nd17.10+1_all.deb Size: 290874 SHA256: 6f9b82dc7eb7e4e08f52bb8cb5dd3c9075f4c13340a5c3ba1e4c9193f4578239 SHA1: 77ecc9596edbf7068f36c10b742dd155ca135b1b MD5sum: f988c4420e456fadb3fe0cdde8c25403 Description: pure-Python full-text indexing, search, and spell checking library (Python 3) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python3 library Package: python3-wrapt Source: python-wrapt Version: 1.9.0-4~nd0~nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, python3-six, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.3.2-2~), libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python3-wrapt_1.9.0-4~nd0~nd17.04+1+nd17.10+1_i386.deb Size: 28324 SHA256: bcb39f8a69efecf7e7b3a3ffcfddcf087ce6b5bd26a96b42a0e06ef5d91378b4 SHA1: 129374fc8f44f6c84a451a8e51fd5d308058b1f1 MD5sum: 2f592b09c80702e4328c029d3113250a Description: decorators, wrappers and monkey patching. - Python 3.x 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 Python 3.x module. Package: python3-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd17.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 445 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python3-xlwt_1.3.0-2~nd0~nd17.10+1_all.deb Size: 83892 SHA256: f7dfc88f60b32febf7e15e74f3fd2ddd0034e3e9d6a03382f9d348442915d137 SHA1: 98d635e0201f8e2188da0510cf2c53114a6c1b91 MD5sum: 16360b10772076ac420f56899d1865ba 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: rclone Version: 1.41-1~ndall0 Architecture: i386 Maintainer: Debian Go Packaging Team Installed-Size: 16874 Depends: libc6 (>= 2.3.6-6~) Built-Using: go-md2man (= 1.0.8+ds-1), golang-1.10 (= 1.10.3-1), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-github-a8m-tree (= 0.0~git20171213.cf42b1e-1), golang-github-abbot-go-http-auth (= 0.0~git20150714.0.46b9627-2), golang-github-aws-aws-sdk-go (= 1.12.79+dfsg-1), golang-github-azure-azure-sdk-for-go (= 10.3.0~beta-1), golang-github-azure-go-autorest (= 8.3.1-1), golang-github-coreos-bbolt (= 1.3.1-coreos.5-1), golang-github-davecgh-go-spew (= 1.1.0-4), golang-github-dgrijalva-jwt-go-v3 (= 3.1.0-2), golang-github-djherbis-times (= 1.0.1+git20170215.d25002f-1), golang-github-dropbox-dropbox-sdk-go-unofficial (= 4.1.0-1), golang-github-go-ini-ini (= 1.32.0-2), golang-github-google-go-querystring (= 0.0~git20170111.0.53e6ce1-4), golang-github-jlaffaye-ftp (= 0.0~git20170707.0.a05056b-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kardianos-osext (= 0.0~git20170510.0.ae77be6-5), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-mattn-go-runewidth (= 0.0.2+git20170510.3.97311d9-1), golang-github-ncw-go-acd (= 0.0~git20171120.887eb06-1), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-google-cloud (= 0.9.0-5), golang-goprotobuf (= 0.0~git20170808.0.1909bc2-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.41-1~ndall0_i386.deb Size: 4618876 SHA256: f3d9fca60ef0cfd3221be8ef088af8a9fc3a2a2c99955034fe6b29a9e18eb42e SHA1: 50b47feb7ce2f1441e1a5cef84f91ef20d1e104f MD5sum: 8c73c00b1e80467960cb535af6d6e58f Description: rsync for commercial cloud storage Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers: . - Google Drive - Amazon S3 - Openstack Swift / Rackspace cloud files / Memset Memstore - Dropbox - Google Cloud Storage - Amazon Drive - Microsoft One Drive - Hubic - Backblaze B2 - Yandex Disk Package: remake Version: 4.1+dbg1.3~dfsg.1-1~nd17.04+1+nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 353 Depends: neurodebian-popularity-contest, guile-2.0-libs, libc6 (>= 2.17), libreadline7 (>= 6.0) Homepage: http://bashdb.sourceforge.net/remake Priority: extra Section: devel Filename: pool/main/r/remake/remake_4.1+dbg1.3~dfsg.1-1~nd17.04+1+nd17.10+1_i386.deb Size: 165318 SHA256: 589f0f56853c2332e78296193634c494610645b390ae7748af8eeaec01c618d3 SHA1: 93acffc0253086097b2e35e4969d5bc739b14bde MD5sum: d9d929651094adba8f6aec3300711f7c Description: GNU make fork with improved error reporting and debugging Modernized version of GNU make utility that adds improved error reporting, the ability to trace execution in a comprehensible way, and a debugger. Some of the features of the debugger are: * see the target call stack * set breakpoints on targets * show and set variables * execute arbitrary "make" code * issue shell commands while stopped in the middle of execution * inspect target descriptions * write a file with the commands of the target expanded Package: reprozip Version: 1.0.14-1~nd17.10+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~nd17.10+1_all.deb Size: 3548 SHA256: 580b6b1fde28205f2987ef33d6ea9c302b1ecf4a06b757b0f181bbc6772c7326 SHA1: ea23e0dbf669d929aa470f3fb037ea4756069da4 MD5sum: ac6d1f407f545ea0bcd583791249dc56 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~nd17.10+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~nd17.10+1_all.deb Size: 183804 SHA256: c8ebe61b38153f21bd8ac5515fc1ba4fd48ca52566f9b2a54f9bb4299d001495 SHA1: b4be0b4d27e3a5367aeae810723ca618555861c1 MD5sum: c045d119a09f6396101e43e7c49aecb5 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: singularity-container Version: 2.6.1-2~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2531 Depends: neurodebian-popularity-contest, python, squashfs-tools, ca-certificates, libarchive13 (>= 3.0.4), libc6 (>= 2.14) Recommends: e2fsprogs Homepage: http://www.sylabs.io Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.6.1-2~nd17.10+1_i386.deb Size: 331670 SHA256: 4d6fed9e87505cfe3756e94529eea09b42e9a8025f988e945c3d0302246f7f6b SHA1: 52df75fa8d67ef9eebcb386fa7387c9bfc619712 MD5sum: 756337df63c036345f898eb558e9192e 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: stimfit Version: 0.15.8-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3090 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.7), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:3.0), libhdf5-100, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), libwxbase3.0-0v5 (>= 3.0.3.1+dfsg2), libwxgtk3.0-0v5 (>= 3.0.3.1+dfsg2), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python2.7, python:any (>= 2.7.5-5~), libsuitesparse-dev, zlib1g-dev, python-wxgtk3.0 | python-wxgtk2.8 (>= 2.8.9), python-matplotlib Recommends: python-scipy Homepage: http://www.stimfit.org Priority: optional Section: science Filename: pool/main/s/stimfit/stimfit_0.15.8-1~nd17.10+1_i386.deb Size: 937638 SHA256: 4d07a0aea0bda1519df009ffcd35021ab6d6133914aa31f4e2b32cae67df80c6 SHA1: e85b76a4313effb3dcb9540e4fd1d935d1b9a45b MD5sum: 083745aa9905303cc80be90e6b9e040a Description: Program for viewing and analyzing electrophysiological data Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. Package: stimfit-dbg Source: stimfit Version: 0.15.8-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8031 Depends: neurodebian-popularity-contest, stimfit Recommends: python-matplotlib, python-scipy, python-stfio Homepage: http://www.stimfit.org Priority: extra Section: debug Filename: pool/main/s/stimfit/stimfit-dbg_0.15.8-1~nd17.10+1_i386.deb Size: 7855376 SHA256: 992f45131ef49e20799e289ce5c03e91948a251c7365bb50a3a6c6c5dae42ec2 SHA1: 1005b292e7c74e7cdbb0e55f91a846ac79626d92 MD5sum: 184b354f6a2b0adda36be49126a33988 Description: Debug symbols for stimfit Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. This package contains the debug symbols for Stimfit. Build-Ids: 9270242cbdf76cc7bff7365ac8767766fbf9535c bcdd6f5a9379467b28949cf959e8461fb4279ff2 e411764be0741e3d6a8dea3f314da4b92093f23a f88184e7f15d3e996bd84bc8eec5bc1d341840d7 Package: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 7), libvw0 (= 8.6.1.dfsg1-1~nd17.10+1) Suggests: vowpal-wabbit-doc Homepage: http://hunch.net/~vw/ Priority: optional Section: science Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit_8.6.1.dfsg1-1~nd17.10+1_i386.deb Size: 63200 SHA256: 61ab979bb238b45e20a0cf1962649b40bdec0881d38936759e4d3df3adfd038b SHA1: 4e7a5bf011457da1dadae383010311ecf0036f51 MD5sum: f0c3b8fdf4c09af0a1ed5cdf5a64264b Description: fast and scalable online machine learning algorithm 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 Package: vowpal-wabbit-dbg Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd17.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 534 Depends: neurodebian-popularity-contest, vowpal-wabbit (= 8.6.1.dfsg1-1~nd17.10+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: debug Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-dbg_8.6.1.dfsg1-1~nd17.10+1_i386.deb Size: 86668 SHA256: 231e4be71c69d130033799c51b5c7ace31d86ab9bf9e35fea35f395e3fe485fb SHA1: 8608a17b0c17d80c8bfdd0250e3a05ffce33a238 MD5sum: bbeb9e88740032b1f6aa241b93a1bd2a Description: fast and scalable online machine learning algorithm - debug files 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 debug symbols for the binaries shipped by vowpal-wabbit packages. Build-Ids: 0f28044fb06fd2c9affc85c722898f492f648496 2d780465ece9a3cc50cf9ce88e70d0c4a3897cdd 406e2395d2b36fb914a29e718c0db8ba697f7f8d a1ec4a1a24c2a2cff2cbce82fb93082621f71a8c b7047af0d2e6cdee6e98b17f17dd49a25fab7cb1 Package: vowpal-wabbit-doc Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd17.10+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~nd17.10+1_all.deb Size: 18694580 SHA256: 43c2037e1ef38f5bab998c3b8741b4d3fe28669085718ab698b26babc42f6643 SHA1: a31c6d4601e78dd49a80cca9abeb8877ac0f3cde MD5sum: ab09b01b59e7ac98e07b90ba2505e22d 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