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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1622 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.14), libcairo-gobject2 (>= 1.10.0), libcairo2 (>= 1.2.4), libconfig++9v5, libfftw3-double3, libgcc1 (>= 1:3.0), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.31.18), libgnutls30 (>= 3.5.0), libgomp1 (>= 4.9), libgsl2, libgtk-3-0 (>= 3.21.5), libitpp8v5, liblua5.2-0, libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libpcre2-8-0, libsamplerate0 (>= 0.1.7), libstdc++6 (>= 5.2), libvte-2.91-0, zlib1g (>= 1:1.1.4) 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_amd64.deb Size: 541012 SHA256: bf8888815249762fd7ffb0f6f314d0f60c2b9f2594e071eb09c23a433aeb4440 SHA1: 3874a887f4737637705881116b860195b3adcfb2 MD5sum: b6804052419f268cb985bf5bf132857f 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: aghermann-dbgsym Source: aghermann Version: 1.1.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11807 Depends: aghermann (= 1.1.2-1~nd90+1) Homepage: http://johnhommer.com/academic/code/aghermann Priority: extra Section: debug Filename: pool/main/a/aghermann/aghermann-dbgsym_1.1.2-1~nd90+1_amd64.deb Size: 11779644 SHA256: 1b848a1eacdfbcb5d446ec023ec7e26022ef3c15a6690e17c59da82e07c961e6 SHA1: a6fff9052617cae0c47cf4ab5e2d5b2df67782bb MD5sum: 0333df6ef99295ad5149cdeeecdfc772 Description: Debug symbols for aghermann Auto-Built-Package: debug-symbols Build-Ids: 1ba1b66088b90e22f2f3a510e138c568da701e58 5bd8e73d5b307150e1ab1791b770ecf99be21cab 6c0d8c6ffb74e257b841454b073e5670cad94ea5 acddf47347779cb5bec25de964af0c89bf4b630e b81cf8f3f4fb9ad345e704ab0c8f1e28aa9b882d d8a1e5181ceebe35bc0a6ba786c67c96f4e70c10 deaefac85abd7c8b598c9c294f34e6cf1b9fa9a2 e49bfc0182dab7d0e59325fbbd2db36bdeeafc57 Package: ants Version: 2.2.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 346852 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.0), libinsighttoolkit4.10, 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~nd90+1_amd64.deb Size: 39528520 SHA256: 64842923dc8dc89297b45e4e3e996190b69bdb9e3be5e225880653a2334b5d31 SHA1: 2db011b0a464a3626d8fff757e6395cd30a39e05 MD5sum: d5f037607f258d6f22290dbaf522745f 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. 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pool/main/a/asciidoctor/asciidoctor_1.5.7.1-1~nd~nd90+1_amd64.deb Size: 64090 SHA256: 4553ab423338648869106dd1bf9c497c78d049a96c34f00b604a371a490cf210 SHA1: 1680cc9802ae804e35851b208214d0b996261be0 MD5sum: 1d639df64c0c7f121a0349601a7fcf92 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3302 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~nd90+1_all.deb Size: 347256 SHA256: f996c1501927da9a0ace7c6a153ad41740a56bfb7752b286f9189f1d2294fa2c SHA1: 76333b1b8c79ac27f9009b779455c12b00825ebb MD5sum: 94accfce321463c3d9a562c8d4760b54 Description: AsciiDoc to HTML rendering for Ruby (documentation) Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. . This package contains the documentation for asciidoctor. Package: bats Version: 1.8.0-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 158 Depends: neurodebian-popularity-contest Recommends: parallel Homepage: https://github.com/bats-core/bats-core Priority: optional Section: devel Filename: pool/main/b/bats/bats_1.8.0-3~nd90+1_all.deb Size: 47858 SHA256: 5f309c3fe86c09bf42dbc3d2095995da826cbda6f97701921f65c9c4144195a5 SHA1: 91be5a417acdc26ca42e702365d454e00ac67b65 MD5sum: afded9bae73bc3de819f28cfd65f5e17 Description: bash automated testing system Bats is a TAP-compliant testing framework for Bash. It provides a simple way to verify that the UNIX programs you write behave as expected. Bats is most useful when testing software written in Bash, but you can use it to test any UNIX program. Package: biosig-tools Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 683 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/biosig-tools_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 240842 SHA256: a4281a2191eeaeadd0dac4231deac526cdce2f959642beca468e5197b4ff619f SHA1: d9b2654a8e8b778422b24f52d8c06f4a70975006 MD5sum: bfd4556833df8a36cd21a7b38fcd4cc4 Description: format conversion tools for biomedical data formats Based on BioSig library, this package provides command line tools, such as . - save2gdf: converter between different file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF, BDF, CWFB. save2gdf can be also used to upload or retrieve data from a bscs server. Package: btrbk Version: 0.32.5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 409 Depends: neurodebian-popularity-contest, perl, btrfs-progs Recommends: openssh-client, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.32.5-1~nd90+1_all.deb Size: 120168 SHA256: 5f86cd5cf54a87c2879f1a16d6124c3469ac8da8bbbafd1a3e0367a36c1f9237 SHA1: b6e6c4dacdeea0b8bd887ef01400021afa891e5c MD5sum: 643dfccc128c26996b885d6e4a00ac00 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3393 Depends: neurodebian-popularity-contest, e2fslibs (>= 1.42), 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_amd64.deb Size: 475126 SHA256: 8f0a47d72ad52995d19ea73b2b0c9b86c588681053af36e01bb3a3cd872a3452 SHA1: aba1277cbf5575d0654b99c63d268bdad84de00e MD5sum: 279191e42edfe901b3ceda0c891b551f 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4903 Depends: neurodebian-popularity-contest, btrfs-tools (= 4.0-2~nd90+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_amd64.deb Size: 3880988 SHA256: 546ebee0cafadcaa1ccbe5e64ae819d956b6e2dd882f01083d561fb71b51a240 SHA1: 8357ca1e65a19540a407975bfd022c8fb521143d MD5sum: 0576a252b3734d2eac65530b52daaead 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. Package: cde Version: 0.1+git9-g551e54d-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1037 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Homepage: http://www.pgbovine.net/cde.html Priority: optional Section: utils Filename: pool/main/c/cde/cde_0.1+git9-g551e54d-1~nd80+1+nd90+1_amd64.deb Size: 145956 SHA256: d9a0fbdc9697516433c89a73ec24947d4b8bcc1855a1a51f9c24518635fc1bc3 SHA1: 1731d3592d00e08ddffdfde2e6ee31360c0a050a MD5sum: 6bc92e5b3a6547a69cafde6b16442555 Description: package everything required to execute a Linux command on another computer CDEpack (Code, Data, and Environment packaging) is a tool that automatically packages up everything required to execute a Linux command on another computer without any installation or configuration. A command can range from something as simple as a command-line utility to a sophisticated GUI application with 3D graphics. The only requirement is that the other computer have the same hardware architecture (e.g., x86) and major kernel version (e.g., 2.6.X) as yours. CDEpack allows you to easily run programs without the dependency hell that inevitably occurs when attempting to install software or libraries. . Typical use cases: 1. Quickly share prototype software 2. Try out software in non-native environments 3. Perform reproducible research 4. Instantly deploy applications to cluster or cloud computing 5. Submit executable bug reports 6. Package class programming assignments 7. Easily collaborate on coding projects Package: cgroup-bin Source: libcgroup Version: 0.37.1-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 190 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcgroup1 Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: admin Filename: pool/main/libc/libcgroup/cgroup-bin_0.37.1-1~nd70+1+nd90+1_amd64.deb Size: 55432 SHA256: 1ac7d43228cbae409267fd4ed88c8c4047506e7772dc031aa7615ce0099cb674 SHA1: 3725bb8bf58df2d64f960db8007b2ffd84d03166 MD5sum: eca3f8eaf30792db27023daa4b0282b5 Description: Tools to control and monitor control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . These tools help manipulate, control, administrate and monitor control groups and the associated controllers. Package: cmtk Version: 3.3.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26283 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.14), libdcmtk8, libfftw3-double3, libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libmxml1, 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_amd64.deb Size: 3690960 SHA256: 37590ed65e6f4cbabeeafd07a7cd9302f5cc2c5b10c0955e8416d060be431d09 SHA1: 56368a2917777a001bf090e759f3a40d0af7d28b MD5sum: 46743df2290361afb080de4f68df119f 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). 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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. 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Package: connectome-workbench Version: 1.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 56011 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libftgl2 (>= 2.1.3~rc5), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.6.0~beta), libqt5network5 (>= 5.0.2), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.7.0), 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: optional Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.5.0-1~nd90+1_amd64.deb Size: 24713870 SHA256: 5ee98a248535600ac9a145c9caec83f2e31a86915306bb977a369b7df99212b5 SHA1: 81f2bbf610cde3bc2d200cdbd10ea19d7a8b3dfa MD5sum: 6ff9952a91ca5dc4703f0655c2d38d8b Description: brain visualization, analysis and discovery tool Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. Package: connectome-workbench-dbg Source: connectome-workbench Version: 1.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 235903 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.5.0-1~nd90+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.5.0-1~nd90+1_amd64.deb Size: 232854524 SHA256: 736179d7ef5dddf680e8da74850ee7209e0f82f54802bf0e6badcd68c789a6e1 SHA1: 48125761949be0cfa760e3b6a47cc62de860f17f MD5sum: 363eecbe9ed6c8fda73420385b6c7ea9 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. . 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Build-Ids: a36ab0cbf83504eb82816cdc1e685ce514d0332f a4fab28fdb868c896f59ff49af375968c7e4fc4d Package: connectomeviewer Version: 2.1.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1652 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-cfflib (>= 2.0.5), python-networkx (>= 1.4), python-nibabel, python-numpy (>= 1.3.0), python-scipy, python-chaco, mayavi2 (>= 4.0.0), ipython Recommends: python-nipype, python-dipy, python-matplotlib, python-qscintilla2 Suggests: nipy-suite Homepage: http://www.connectomeviewer.org Priority: extra Section: python Filename: pool/main/c/connectomeviewer/connectomeviewer_2.1.0-1~nd70+1+nd90+1_all.deb Size: 1150994 SHA256: 1010e605b6a3e8827a5299a1ecf248cb610c8c3bb77d922740cfcba689bc981c SHA1: 32ccf0c290df8fb04b3b660d507e3a0f0125b9c9 MD5sum: acbc76e7ac065581a48f09e5bdfb4968 Description: Interactive Analysis and Visualization for MR Connectomics The Connectome Viewer is a extensible, scriptable, pythonic research environment for visualization and (network) analysis in neuroimaging and connectomics. . Employing the Connectome File Format, diverse data types such as networks, surfaces, volumes, tracks and metadata are handled and integrated. The Connectome Viewer is part of the MR Connectome Toolkit. Package: convert3d Version: 0.0.20190204-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 65630 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcharls1 (>= 1.0), libdcmtk8, libdouble-conversion1 (>= 2.0.0), libexpat1 (>= 2.0.1), libfftw3-double3 (>= 3.3.5), libfftw3-single3 (>= 3.3.5), libgcc1 (>= 1:4.0), libgdcm2.6, libhdf5-100, libhdf5-cpp-100 (>= 1.8.13), libinsighttoolkit4.10, libjpeg62-turbo (>= 1.3.1), libnifti2, libpng16-16 (>= 1.6.2-1), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.7.0), libqt5widgets5 (>= 5.7.0), libssl1.0.2 (>= 1.0.2d), libstdc++6 (>= 5.2), libsz2, libtiff5 (>= 4.0.3), libwrap0 (>= 7.6-4~), libxml2 (>= 2.6.27), zlib1g (>= 1:1.1.4) Homepage: https://sourceforge.net/projects/c3d/ Priority: optional Section: science Filename: pool/main/c/convert3d/convert3d_0.0.20190204-1~nd90+1_amd64.deb Size: 10090900 SHA256: 12c2eeb31d52dd340da3e09461dfe394cd0d36cc877343d7243ce412a269e30e SHA1: 74c5bd1127929bbb60a189ae5bff5ab74887cced MD5sum: 9254ef4e6bede4b18141cbc2b51c590d 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: convert3d-dbgsym Source: convert3d Version: 0.0.20190204-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 177435 Depends: convert3d (= 0.0.20190204-1~nd90+1) Homepage: https://sourceforge.net/projects/c3d/ Priority: extra Section: debug Filename: pool/main/c/convert3d/convert3d-dbgsym_0.0.20190204-1~nd90+1_amd64.deb Size: 166796502 SHA256: f3cce18aab3654953aff6e5bacaf867f336280808b5333d811f30137849e617e SHA1: 6431947aa7f5d2cf7bcb35622ef20cd1f5484513 MD5sum: 6b4378fc5b89e8bd4da994a14613f868 Description: Debug symbols for convert3d Build-Ids: 2d1e3a6bf8d4104140afb800986e2cf910a33e3c 5959580369fded99263676998ff65d533bbf5064 687d06f1e1240150c3e8e3bb638e7ed06cab7812 90683c35a0ff227c56c69fcd4205ded297ae97a6 9d879f9f929242943878f1c2917a0a0702502021 c29f431dc2a78b6afcfe3b507dab562ba6c53251 Package: coop-computing-tools Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4098 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfuse2 (>= 2.6), libglobus-common0 (>= 15), libglobus-gss-assist3 (>= 9), libglobus-gssapi-gsi4 (>= 10), libkrb5-3 (>= 1.6.dfsg.2), libmysqlclient18 (>= 5.5.24+dfsg-1), libncurses5 (>= 5.5-5~), libopenmpi1.6, libreadline6 (>= 6.0), libstdc++6 (>= 4.1.1), libtinfo5, python Suggests: coop-computing-tools-doc, condor, gridengine-client Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: utils Filename: pool/main/c/cctools/coop-computing-tools_3.4.2-1~nd70+1+nd90+1_amd64.deb Size: 537472 SHA256: d569bb745ddabeddb775d68f9ce21a7468cebe1fb70e861d69b62a8d765857f7 SHA1: ebf27c8dee34e236c0f00c0a45b3d9d9c203a845 MD5sum: 791e3430d4c298089420ef539b7e45db Description: cooperative computing tools This is a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. This includes: . * Chirp: A personal filesystem and I/O protocol that allows unprivileged users to share space securely, efficiently, and conveniently. When combined with Parrot, Chirp allows users to create custom wide-area distributed filesystems. * Parrot: A transparent user-level virtual filesystem that allows any ordinary program to be attached to a remote storage device such as an FTP server or a Chirp server. * Makeflow: A workflow system for parallel and distributed computing that uses a language very similar to Make. * Work Queue: A system and API for building master-worker style programs that scale up to thousands of processors. * All Pairs: A computational abstraction for running very large Cartesian products. * Wavefront: A computational asbtraction for running very large dynamic programming problems. * The Fault Tolerant Shell: A high-level programming language that allows users to combine the ease of shell scripting, the power of distributed programming, and the precision of compiled languages. Basically, parallel programming and exception handling for scripts. Package: coop-computing-tools-dev Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1001 Depends: neurodebian-popularity-contest Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: libs Filename: pool/main/c/cctools/coop-computing-tools-dev_3.4.2-1~nd70+1+nd90+1_amd64.deb Size: 160962 SHA256: 7afd8d27144036150e199319479d84c97ffb34d562aa73abd36e28c4eab324fc SHA1: 37824f4771059bf5bcf0fa817484dd441a713bd5 MD5sum: 3b046ee0ab38b6f5fa4535a3266d64fb Description: libraries and header files for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides static libraries and header files for development. Package: coop-computing-tools-doc Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2821 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: doc Filename: pool/main/c/cctools/coop-computing-tools-doc_3.4.2-1~nd70+1+nd90+1_all.deb Size: 211826 SHA256: da05214a18baf5e069af50d860dbcb3efcf3bf210dca18f9e4e96bb1aeca249d SHA1: 6cc266c35d33a6090c5c33c9b8f308971a24cb83 MD5sum: adc3cb13d9be11595ff7978d1fea0eed Description: documentation for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides the documentation (manual and API reference) in HTML format. Package: copyq Version: 3.6.1-1~nd1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4791 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.7.0), 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~nd90+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~nd90+1_amd64.deb Size: 1288746 SHA256: 327711b123ac741d7f949289c861e3a03108e88d327118a3967675c250c117e5 SHA1: 768876b88635bc24a1abd84acfaf011edf146141 MD5sum: 86d279d2edaecbbc82071e29d913ee50 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-dbgsym Source: copyq Version: 3.6.1-1~nd1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14954 Depends: copyq (= 3.6.1-1~nd1~nd90+1) Homepage: https://hluk.github.io/CopyQ/ Priority: extra Section: debug Filename: pool/main/c/copyq/copyq-dbgsym_3.6.1-1~nd1~nd90+1_amd64.deb Size: 14765370 SHA256: 8623976a2295554703fcb07bb73bae62e1838e698db131145fd9f48b9878befa SHA1: 1729cfdce98909e7ab8c038c9dfcf4cf835c6a4b MD5sum: 503dca61c4bd1b82d48b025d8b8ec1f1 Description: Debug symbols for copyq Build-Ids: 7acd99d88e441c9b933d6018430289e77dd90898 Package: copyq-doc Source: copyq Version: 3.6.1-1~nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1607 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Built-Using: sphinx (= 1.4.9-2) 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~nd90+1_all.deb Size: 907462 SHA256: a82725323bac1be99cd24e61000ee66752a468b33774bdcf9d07c80ea863dee8 SHA1: cb7b35f57176487894033d0b34ada15b5e089f8a MD5sum: 6320caea4d306b0560d14ad6899f393a 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2656 Depends: neurodebian-popularity-contest, copyq (= 3.6.1-1~nd1~nd90+1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.7.0), 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~nd90+1_amd64.deb Size: 583986 SHA256: 1f63b2d518b24e71cc3f7db6a1bc8842babb88368eadbe4378fddc8e0a28ba30 SHA1: a4801571c132782e72a8a4152817a59f791d6525 MD5sum: 1983e3ca919ee14a92cd90ae0547bf9e 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: copyq-plugins-dbgsym Source: copyq Version: 3.6.1-1~nd1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11046 Depends: copyq-plugins (= 3.6.1-1~nd1~nd90+1) Homepage: https://hluk.github.io/CopyQ/ Priority: extra Section: debug Filename: pool/main/c/copyq/copyq-plugins-dbgsym_3.6.1-1~nd1~nd90+1_amd64.deb Size: 10771372 SHA256: 4eb08c543376e4094047cb55e9429f88e4f85e084cdf723a5f88f1c863115719 SHA1: 92bbb9a98f78598d00bc31e60e5caa7223ff5e06 MD5sum: 1f2fd003c5c5620f08e1a61e995cd954 Description: Debug symbols for copyq-plugins Build-Ids: 07eed898a75e9c06f6e4a06181500f92a500f3ba 116fa3dd675c671a1016b6a4ddeb2ba4403327d9 26fe7beca096c6942b38db3b5c37c9ebbe9167f2 38f2ccff2a17456aea3ebac5248e7cd7b6205da1 6790034971aa07a630a6593917c5ad91ef9c40c8 7857a2fb97a23d3df4e60cfe4f05418b40da656b 85b3a7e936d9c0abcbfed8ad07015e027acf3c97 d1522aa2d3e4914b84aa7efd57c7f7108894e0c8 dcad839a908166129e8c3210b466694b5d3277ae Package: cython Version: 0.29.2-2+nd1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6551 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.14) Recommends: python-dev, gcc Suggests: cython-doc Homepage: http://cython.org/ Priority: optional Section: python Filename: pool/main/c/cython/cython_0.29.2-2+nd1~nd90+1_amd64.deb Size: 1382198 SHA256: f4989c9c27dfb9036fea637b6a471bab6583f30bb003671ba8582afddf7d1878 SHA1: d541ebb635a1a85d1cb7e14446729c3cb3a0b340 MD5sum: 6fe59b2465738c91d54da57172a02e58 Description: C-Extensions for Python Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations. . The Cython language is very close to the Python language, but Cython additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. . This makes Cython the ideal language for wrapping external C libraries, and for fast C modules that speed up the execution of Python code. Package: cython-dbg Source: cython Version: 0.29.2-2+nd1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12867 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), cython (= 0.29.2-2+nd1~nd90+1) Homepage: http://cython.org/ Priority: optional Section: debug Filename: pool/main/c/cython/cython-dbg_0.29.2-2+nd1~nd90+1_amd64.deb Size: 4362962 SHA256: 48c284c2dce24a3006e989a9a99b027ec52e3c96faaa3aa42769ff126c45edea SHA1: 635a21d34bde2d4278a5f33ca0f593d96dabde64 MD5sum: 91346abdc729c5665dbc8329ea14146d Description: C-Extensions for Python - debug build This package contains Cython libraries built against versions of Python configured with --pydebug. Build-Ids: 16c1def8ac25df12b8a631e7c48b309dd192ba22 29732fb64fe475edc6218397122939b9e726ac36 337bc8962bd34981acdc9c009a1c11d38e962dc9 68e2e43a2a8f604546724eee29a672fbbb967f8b 97a0b03135dfbb034f6e5145676b4d49484e1b75 ad828e2921f697c4d199574c79e224f2d2df2b07 e742c9d8f1a15b520ec97f5ec0203ef3c7550059 f89afb184146d8f49e235969b57a29f7afb39bd7 Package: cython-doc Source: cython Version: 0.29.2-2+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2745 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: cython Multi-Arch: foreign Homepage: http://cython.org/ Priority: optional Section: doc Filename: pool/main/c/cython/cython-doc_0.29.2-2+nd1~nd90+1_all.deb Size: 621382 SHA256: 43c507888f12cb4aae34ea55206a66ff315c7b3e3305de663a95514ff1ad6c2b SHA1: 06050772dd8a29a6023fa8d8bd7e4bbf40792036 MD5sum: 204d2e1a355b8dfd8bf7f824bbf95fd2 Description: C-Extensions for Python - documentation This package contains documentation for Cython. Package: cython3 Source: cython Version: 0.29.2-2+nd1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6554 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3:any, libc6 (>= 2.14) Recommends: python3-dev, gcc Suggests: cython-doc Homepage: http://cython.org/ Priority: optional Section: python Filename: pool/main/c/cython/cython3_0.29.2-2+nd1~nd90+1_amd64.deb Size: 1387920 SHA256: 6904bb40ea610391a1b1c02522542dbdc94b64210f31cac25b0fa85846760378 SHA1: bb003fa732340b58fee441a792fa6192ae535a64 MD5sum: ed61819af23433115632ad356b5943c0 Description: C-Extensions for Python 3 Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations. . The Cython language is very close to the Python language, but Cython additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. . This makes Cython the ideal language for wrapping external C libraries, and for fast C modules that speed up the execution of Python code. Package: cython3-dbg Source: cython Version: 0.29.2-2+nd1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15259 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), cython3 (= 0.29.2-2+nd1~nd90+1) Homepage: http://cython.org/ Priority: optional Section: debug Filename: pool/main/c/cython/cython3-dbg_0.29.2-2+nd1~nd90+1_amd64.deb Size: 5125338 SHA256: cc6d7e8a190fe63fdd5cd8a8f093463441bfdf0cdd8f212b2e73609f7cf6337b SHA1: eae708dc35ff007d7fc9c8a998ce3d9493d24154 MD5sum: 2e905ad6d23ce48b4632aea5c88d40bb Description: C-Extensions for Python 3 - debug build This package contains Cython libraries built against versions of Python configured with --pydebug. Build-Ids: 04fc72e9c161ad10e867e08c54257cf2a6ddc49c 48a4fd62127eba8134adea91e11afde937a94b49 854baca1d9de909b70055555ff9001084903f7ca 8cc8d32bf8e739b2318b0f7dbaa75465ef768415 a2edb4c9cd86b75df8d689d473510a0294a3889b d4b0ff258e57171395dce3e39bb198e701bb00c9 dfb9f3d9ad81f260df98c248b9d010d3990824cd f0b4f251945eabb1b97d8a89d0d38b74e1bad992 Package: datalad Version: 0.13.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 178 Depends: neurodebian-popularity-contest, python3-datalad (= 0.13.7-1~nd90+1), python3-argcomplete, python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.13.7-1~nd90+1_all.deb Size: 137348 SHA256: b57db38973bb9908cfd00f1106fffe9021f2454880ad01c01eb70b5da0eed762 SHA1: b0de191e0cfc07d695af5df1e07b4d038fcd4c46 MD5sum: cbf7dab9578f1ee809c91e6773cf7ef7 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) Package: datalad-container Version: 1.1.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 116 Depends: neurodebian-popularity-contest, datalad (>= 0.13~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3:any Recommends: singularity-container Suggests: docker.io Homepage: http://datalad-container.rtfd.org Priority: optional Section: science Filename: pool/main/d/datalad-container/datalad-container_1.1.2-1~nd90+1_all.deb Size: 26434 SHA256: 4d8f226edbb266962394e93ac55ae5e7d494206b8e6404a9b933096ae8a9d970 SHA1: 24195aa26da9ec42cb5abc8c841ad87fa270e342 MD5sum: 4a2570b16d21f0cf8f9ba63dc95e621a Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: dcm2niix Version: 1:1.0.20220720-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 979 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopenjp2-7 (>= 2.0.0), libstdc++6 (>= 5.2), libyaml-cpp0.5v5 Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20220720-1~nd90+1_amd64.deb Size: 245792 SHA256: 326c01b642e68cc7120965bb57b2779e0910294a20dd9891a7350e788ebbb011 SHA1: b5e71ccf9bc74b1df70075a70e057c07f7ddf36c MD5sum: 24fefb09ad5d5d07ed20401fd7de657a 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: dcm2niix-dbgsym Source: dcm2niix Version: 1:1.0.20220720-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 979 Depends: dcm2niix (= 1:1.0.20220720-1~nd90+1) Homepage: https://github.com/rordenlab/dcm2niix Priority: extra Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20220720-1~nd90+1_amd64.deb Size: 907142 SHA256: 0f6fca92948303d1f16310f4c15a994b793700b5eec8b1b95dddde7c088fded4 SHA1: 3830f23b6c87f280b1e0fb2cb9274dbb3aea2b02 MD5sum: 013c331644fec303a9d5f10d49dcbcfe Description: Debug symbols for dcm2niix Build-Ids: 5bda915d7fea78fa8bc641ba31a4028c895b4711 6b99df2b665cd99f7e4c182655102a47d44eafc3 Package: debhelper Version: 12.1.1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1601 Depends: neurodebian-popularity-contest, autotools-dev, dh-autoreconf (>= 17~), dh-strip-nondeterminism (>= 0.028~), dpkg (>= 1.18.0~), dpkg-dev (>= 1.18.2~), dwz, file (>= 3.23), libdpkg-perl (>= 1.17.14), man-db, po-debconf, perl Suggests: dh-make Breaks: cmake (<< 3.9~), dh-systemd (<< 1.38), meson (<< 0.40.0~) Replaces: dh-systemd (<< 1.38) Provides: debhelper-compat (= 9), debhelper-compat (= 10), debhelper-compat (= 11), debhelper-compat (= 12), dh-sequence-dwz, dh-sequence-installinitramfs, dh-sequence-systemd Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/d/debhelper/debhelper_12.1.1~nd90+1_all.deb Size: 1010460 SHA256: ae67dc61b3cc57a1741e91fa5e5e28d62f5095904d0ae8ff6b466ac477262288 SHA1: 81357d63f4b2854b32c1053a9d4b28475069880b MD5sum: cf38d8ec7f19495c1cd566be361537c9 Description: helper programs for debian/rules A collection of programs that can be used in a debian/rules file to automate common tasks related to building Debian packages. Programs are included to install various files into your package, compress files, fix file permissions, integrate your package with the Debian menu system, debconf, doc-base, etc. Most Debian packages use debhelper as part of their build process. Package: debian-handbook Version: 6.0+20120509~nd+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23450 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_all.deb Size: 21615222 SHA256: a85ad362072ccad3a1034ac7ae2073b117a7a9001e79b131a6929272734e7f46 SHA1: 065382f6d0be6a5cbe2372ba15a0509f85b73894 MD5sum: 201becf6284759af070b8ee950fab0fb 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: debruijn Version: 1.6-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 153 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfftw3-double3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.cfn.upenn.edu/aguirre/wiki/public:de_bruijn_software Priority: extra Section: science Filename: pool/main/d/debruijn/debruijn_1.6-1~nd70+1+nd90+1_amd64.deb Size: 37730 SHA256: 71218a074c2f630483c2d2aa0a8a0229b0acc03e7fd6ba43992b5658e1006ee7 SHA1: 6546e6a82fe4030aad210390c443bbc3ee40eda1 MD5sum: da6a889c80437e7799764100567616f4 Description: De Bruijn cycle generator Stimulus counter-balance is important for many experimental designs. This command-line software creates De Bruijn cycles, which are pseudo-random sequences with arbitrary levels of counterbalance. "Path-guided" de Bruijn cycles may also be created. These sequences encode a hypothesized neural modulation at specified temporal frequencies, and have enhanced detection power for BOLD fMRI experiments. Package: dh-autoreconf Version: 17~bpo9+1 Architecture: all Maintainer: Julian Andres Klode Installed-Size: 45 Depends: perl, debhelper, autoconf, automake, autopoint, libtool (>= 2.4.2) Enhances: cdbs, debhelper Breaks: dpatch (<< 2.0.38+nmu1~), quilt (<< 0.63-8.2~) Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/d/dh-autoreconf/dh-autoreconf_17~bpo9+1_all.deb Size: 16758 SHA256: 98fe07ec21ece2db5a9e3d352d6beff959cbaf39171106c0c394b551e39d0ece SHA1: 276f4451f8880cdd86c7f29adfe3b853c5bc61e2 MD5sum: 6ad0d97473fae7721c399f4d64ca228b Description: debhelper add-on to call autoreconf and clean up after the build dh-autoreconf provides a debhelper sequence addon named 'autoreconf' and two commands, dh_autoreconf and dh_autoreconf_clean. . The dh_autoreconf command creates a list of the files and their checksums, calls autoreconf and then creates a second list for the new files. . The dh_autoreconf_clean command compares these two lists and removes all files which have been added or changed (files may be excluded if needed). . For CDBS users, a rule is provided to call the dh-autoreconf programs at the right time. Package: dh-octave Version: 0.6.0~bpo9+1+nd1~nd90+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~nd90+1_all.deb Size: 19966 SHA256: 22ec43c2d7763f2069ff40942dc86ea96b637181d8708fae5a33be1e34c93d88 SHA1: ca7cfc266cb5d6d84c529338ec7555f8e10f05f9 MD5sum: 004fc04d97931a51d682c2e5e09e14ac 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~nd90+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~nd90+1_all.deb Size: 8408 SHA256: 150ab1c92393572da1f4a29964b8124ba9125c891da9bd7e240b924c5861235e SHA1: 50e4fad130d8b1fb8495cd15dea642211696dd47 MD5sum: 16e292bcc472810774e457fa7aaf5159 Description: script for the automatic testing of Octave add-on packages This package contains the dh_octave_check script that runs the unit tests contained in all *.m and *.cc files available in the source tree from which it is launched. It is intended to be used by the support for Octave-Forge add-on packages, which is implemented in autodep8. Package: dh-python Version: 3.20180723~bpo9+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 445 Depends: neurodebian-popularity-contest, python3:any, python3-distutils | python3 (<< 3.6.5~rc1-1) Suggests: libdpkg-perl, dpkg-dev Breaks: python3 (<< 3.3.2-4~) Replaces: python3 (<< 3.3.2-4~) Multi-Arch: foreign Priority: optional Section: python Filename: pool/main/d/dh-python/dh-python_3.20180723~bpo9+1~nd90+1_all.deb Size: 95650 SHA256: 2d598aedca9f8c85667fcf1bcfccef43f6036d14b339e42d3c3207ae1c6c8260 SHA1: 2b4be954d570f87ed8966417047e54c91341b037 MD5sum: b3391c287b0a9362b2449dfcabff6081 Description: Debian helper tools for packaging Python libraries and applications This package contains: * pybuild - invokes various build systems for requested Python versions in order to build modules and extensions * dh_python2 - calculates Python 2.X dependencies for Debian packages, adds maintainer scripts to byte compile files, etc. * dh_python3 - calculates Python 3.X dependencies for Debian packages, adds maintainer scripts to byte compile files, etc. * dh_pypy - calculates PyPy dependencies for Debian packages, adds maintainer scripts to byte compile files, etc. Package: dh-systemd Source: debhelper Version: 12.1.1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, debhelper (>= 9.20160709) Multi-Arch: foreign Priority: optional Section: oldlibs Filename: pool/main/d/debhelper/dh-systemd_12.1.1~nd90+1_all.deb Size: 122570 SHA256: 70846d7d87e5b8d9e633bcb59be73dc8a5f53c7c90e76ecb2f9a747013467255 SHA1: 3940fa4244e41e0d6bc924bcff9edb4518665236 MD5sum: 6e6870398e4d6bc6d5b28b6c52df06fe Description: debhelper add-on to handle systemd unit files - transitional package This package is for transitional purposes and can be removed safely. Package: dicomnifti Version: 2.32.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 494 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libnifti2, libstdc++6 (>= 4.9) Homepage: http://cbi.nyu.edu/software/dinifti.php Priority: optional Section: science Filename: pool/main/d/dicomnifti/dicomnifti_2.32.1-1~nd80+1+nd90+1_amd64.deb Size: 96024 SHA256: ac161c2c29b71beab13fde477baeaca24f58aba1b22637d844d5a87d3d887561 SHA1: 7f64c065b1cc28e6e9d6218ac10fa83bff612f12 MD5sum: 5adcab481a598bf9e6b076c3370f90b3 Description: converts DICOM files into the NIfTI format The dinifti program converts MRI images stored in DICOM format to NIfTI format. The NIfTI format is thought to be the new standard image format for medical imaging and can be used with for example with FSL, AFNI, SPM, Caret or Freesurfer. . dinifti converts single files, but also supports fully automatic batch conversions of complete dicomdirs. Additionally, converted NIfTI files can be properly named, using image series information from the DICOM files. Package: dmtcp Version: 2.3.1-6~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2734 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: utils Filename: pool/main/d/dmtcp/dmtcp_2.3.1-6~nd80+1+nd90+1_amd64.deb Size: 660828 SHA256: e06a002e6e5467f9d2afc317b41fdbd86fd03a0e3f24a4e04c0bbb88e78049b9 SHA1: a7bd1ba8cc217b708a501fa1b12747c280b3182f MD5sum: b25e9f9d78d30fe47afc89e1ec1fcf7a Description: Checkpoint/Restart functionality for Linux processes DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are Open MPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains DMTCP binaries. Package: dmtcp-dbg Source: dmtcp Version: 2.3.1-6~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26221 Depends: neurodebian-popularity-contest, dmtcp Homepage: http://dmtcp.sourceforge.net Priority: extra Section: debug Filename: pool/main/d/dmtcp/dmtcp-dbg_2.3.1-6~nd80+1+nd90+1_amd64.deb Size: 4408002 SHA256: 2859a4d113986cc3c87c329bd401a2b38f0c833572b2f60491c12336ad238374 SHA1: 8ca8dce0e5a9ce0e2a4634b20f546413d4a08ae1 MD5sum: 71b4f4cb15c82d18f5ea9a4291ec6bb9 Description: Debug package for dmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are Open MPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains debugging symbols for DMTCP. Package: docker-compose Version: 1.5.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 278 Depends: neurodebian-popularity-contest, python-docker (>= 1.3.0), python-dockerpty (>= 0.3.4), python-docopt, python-enum34 (>= 1.0.4), python-jsonschema, python-requests (>= 2.6.1), python-six (>= 1.3.0), python-texttable, python-websocket, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: docker.io (>= 1.6.0) Homepage: http://docs.docker.com/compose/ Priority: optional Section: admin Filename: pool/main/d/docker-compose/docker-compose_1.5.2-1~nd90+1_all.deb Size: 87426 SHA256: e5e4379969e073b8a58ee3c0b1732ad940d4d64aca0f3ef03bbaf435fb4b53fd SHA1: d3f9b5d087471acd64acc1c56815f2e63994e44f MD5sum: db4a04b6180e8516867384caee744e20 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: dwz Version: 0.13-5~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 447 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libelf1 (>= 0.131) Multi-Arch: foreign Homepage: https://www.sourceware.org/dwz/ Priority: optional Section: devel Filename: pool/main/d/dwz/dwz_0.13-5~nd90+1_amd64.deb Size: 136704 SHA256: 34f154c65d02fa489e1658252c4605435ce0359a436c9ad27618e45dde8171d2 SHA1: 84e9be30812671a53a178dbbf093663102620a4c MD5sum: 4bfd9891ef3105a133bbc300dc25188d Description: DWARF compression tool DWARF optimizer and duplication removal utility. Package: edac-utils Version: 0.18+git12-gd98769e-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 85 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libedac1, lsb-base (>= 3.0-6) Recommends: dmidecode Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: admin Filename: pool/main/e/edac-utils/edac-utils_0.18+git12-gd98769e-1~nd90+1_amd64.deb Size: 24868 SHA256: 71d76e983bc2e40f16ea4b9819031ad4b74ac4767b2c9c6a40e06f82c2eba587 SHA1: 844a6ac8005b4e332c12263097cba8966e7b84e8 MD5sum: 54950266c0b2c98459fa09b709979215 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package provides command lines tools Package: eeglab11-sampledata Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8117 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/e/eeglab11/eeglab11-sampledata_11.0.0.0~b~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 7075168 SHA256: 5d83d4720ebbec466e44e83c6e6a8a5b67bc8486f93bc571cde2403982dfaf0c SHA1: 062335d0be9ced61269e7ab4ae3bb9034993d9b6 MD5sum: 62a51e7e7f38cd6cdc21ef2931432201 Description: sample EEG data for EEGLAB tutorials EEGLAB is sofwware for processing continuous or event-related EEG or other physiological data. . This package provide some tutorial data files shipped with the EEGLAB distribution. Package: exempi Version: 2.4.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 46 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd90+1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Multi-Arch: foreign Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: graphics Filename: pool/main/e/exempi/exempi_2.4.1-1~nd90+1_amd64.deb Size: 20034 SHA256: b0310ae166041c693ff22de54123e9a87c56d347e4f05daa84a7bbf78016301a SHA1: 6a6890ceb1efba409d8a68190fec309abdc5a2a8 MD5sum: 7734041415781a3cbc285df4f4af10a9 Description: command line tool to manipulate XMP metadata Exempi is a library to parse XMP metadata as defined by the specification. . 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 a command line tool to manipulate XMP metadata. Package: exempi-dbgsym Source: exempi Version: 2.4.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: exempi (= 2.4.1-1~nd90+1) Breaks: libexempi3-dbg (<< 2.3.0-1~) Replaces: libexempi3-dbg (<< 2.3.0-1~) Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: extra Section: debug Filename: pool/main/e/exempi/exempi-dbgsym_2.4.1-1~nd90+1_amd64.deb Size: 47784 SHA256: 8caf49df4d504c3eaacbb3953597bfbe5e5daddc46c2d06c6ae4e2b8d4a3558e SHA1: f3a98a5ee93a0b051210a6f39d6c8eb3dff7563d MD5sum: f35758d5ab40cacf25884ff7d3af6e32 Description: Debug symbols for exempi Build-Ids: 8525be600541bc35eb95563612b5045de0a89ec5 Package: fail2ban Version: 0.9.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1302 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~nd90+1_all.deb Size: 291114 SHA256: 7baef54ef88fb99a2b74c3b6cf02bd738036f9cea9f6b10ff474be1bd2eea2bc SHA1: 779c458becdd106c14099e357e34cdfd536a5e4e MD5sum: 888b4ff47e5bc6ca8ff8b11ee3911caf 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+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_all.deb Size: 1176 SHA256: 0e4e167e592b924f79472395fbee7033689ee077ee3574f35ef74577fdeffec3 SHA1: 3365f20281a15110bd4bd43778b9a980ccc99f72 MD5sum: 46c90a6d59e5a2a2d9f9c3c2a1c01232 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 147 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfreeipmi16 (>= 1.1.5), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd90+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_amd64.deb Size: 44804 SHA256: 48ade7cba087529f3957fae3e97ff052ce8b9cb5559484166d8be5ced9a571ef SHA1: fb875869d7d16da0e660d21ee24bd6a926a0794c MD5sum: 61250dd0f084f5d640455d09c2581378 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 491 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_all.deb Size: 339408 SHA256: 2ef4d1b9c56554a9d5f40d860ae0da8bf8469166b892ccd06ab53c8d7e847f0c SHA1: d7c76e4e962bac7828af674c926009546d927d99 MD5sum: 302ae30afdce18d894d054859912176e 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 134 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfreeipmi16 (>= 1.1.5), libgcrypt20 (>= 1.6.0), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd90+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_amd64.deb Size: 37722 SHA256: ca35dd57c811d11604ef8d83303e1ba48bb1c0c7d0cd6a1794df7a0f7db41efd SHA1: 1b385674490828a26d74701b154f2b0e7f76be73 MD5sum: 5a2612f248685f6c4647c1c990769b7c 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 210 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd90+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_amd64.deb Size: 79106 SHA256: 3abec74368ebd311a739d1a119b86a6ed81354b834cdc296da46b85f0ea8a7ee SHA1: 60d25c322ff891cc40be5c1c997c27b28894c105 MD5sum: 67a0838525d15067a9153929f80c6cd7 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2887 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.9-1~nd90+1), libgcrypt20 (>= 1.6.0), libipmiconsole2 (>= 1.4.4), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd90+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_amd64.deb Size: 601166 SHA256: 71f26962d9a4c4a0ee8746633204836cc96f9108d14b132f1e67556c05d9afee SHA1: 78b9fc7e416fd3517cae7a754f48f52b5270d09a MD5sum: 53b66018923528426ee8c4c4fb6f1897 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: freenect Source: libfreenect Version: 1:0.5.3-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, libfreenect-bin, libfreenect-dev, libfreenect0.5, libfreenect-doc Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/freenect_0.5.3-3~nd90+1_amd64.deb Size: 8954 SHA256: eeee359558498282f5eb38634c6bb54348bc795c1f80aec52ce67150008bc0a0 SHA1: 4490411d16df4b84646badf697347826736c4f92 MD5sum: fb756606476826bb7ec129081daa660f Description: library for accessing Kinect device -- metapackage libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the metapackage to install all components of the project. Package: fsl-melview Source: melview Version: 1.0.1+git9-ge661e05~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 74 Depends: neurodebian-popularity-contest, python, python-matplotlib, python-numpy, python-pkg-resources, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-nibabel, 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_all.deb Size: 13912 SHA256: 645e077ce9ef18f5ed060f06cfe1db6182307f8bd85ed6c3700847be65513549 SHA1: 27fffc42b2ab3cd055e60861ee89b66c41ba53c6 MD5sum: 8f155d7108a9e153239de07847443ded 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~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239710 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~nd90+1_all.deb Size: 26748048 SHA256: 0dc4cdb030c1f52198609fc3f4c5fa6bebba32336615078adcdd25aca86d89c6 SHA1: d2f00465394fabaf5aeb6444a9fe106e018622ce MD5sum: 6121997d7d05e68658ad62333ff8c6ef Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: fslview Version: 4.0.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6637 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libnewmat10ldbl, libnifti2, libqt4-qt3support (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.7.0~beta1), libqwt5-qt4, libstdc++6 (>= 4.9), libvtk5.8, libvtk5.8-qt4 Recommends: fslview-doc, qt-assistant-compat Suggests: fsl-atlases Conflicts: fsl-fslview Replaces: fsl-fslview Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: science Filename: pool/main/f/fslview/fslview_4.0.1-2~nd80+1+nd90+1_amd64.deb Size: 1343764 SHA256: 49298d2ce67d5c3abe763e6030b24d0384056f12630cd574619f0a8bbdce0ee5 SHA1: 77808a5310e4bf0d6e2cbef6ea6c5ee7480aa5d2 MD5sum: 339c370d5399409a45847b699651e945 Description: viewer for (f)MRI and DTI data This package provides a viewer for 3d and 4d MRI data as well as DTI images. FSLView is able to display ANALYZE and NIFTI files. The viewer supports multiple 2d viewing modes (orthogonal, lightbox or single slices), but also 3d volume rendering. Additionally FSLView is able to visualize timeseries and can overlay metrical and stereotaxic atlas data. . FSLView is part of FSL. Package: fslview-doc Source: fslview Version: 4.0.1-2~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2929 Depends: neurodebian-popularity-contest Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: doc Filename: pool/main/f/fslview/fslview-doc_4.0.1-2~nd80+1+nd90+1_all.deb Size: 2226908 SHA256: 8b844c2c11167f41b2d20536095b36c3404514cb21c283097fc0cc876990d949 SHA1: a1a17b9b680e41e9757918f98c497c5ef1b253ec MD5sum: 2554c2d2bf8c93da5554a559ca7aaa58 Description: Documentation for FSLView This package provides the online documentation for FSLView. . FSLView is part of FSL. Package: gcalcli Version: 3.4.0-1~nd90+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_all.deb Size: 1669946 SHA256: 7dc7d3d75d040493e77758d61ab14efb09bb9a600b65b55b671a420b5c737950 SHA1: d3d70bbabee140b0b2160a85752273e2dc3a82da MD5sum: 1f34069749c520cb8c1ec165ffff6ad2 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: gdf-tools Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 224 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-program-options1.55.0, libboost-system1.55.0, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libgdf0, libstdc++6 (>= 4.1.1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: utils Filename: pool/main/libg/libgdf/gdf-tools_0.1.2-2~nd70+1+nd90+1_amd64.deb Size: 49692 SHA256: dfc3a6143687f78eceee200b45871db0cef1c399c337d50f7d782b6802ec3144 SHA1: 1a87f00e4b45a49c846423161b1b6ab92e4ffbad MD5sum: 1d8fab81b71e641ebe48a0c495cde5d6 Description: IO library for the GDF -- helper tools GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the tool shipped with the library (gdf_merger). Package: gifti-bin Source: gifticlib Version: 1.0.9-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libexpat1 (>= 2.0.1), libgiftiio0, libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: utils Filename: pool/main/g/gifticlib/gifti-bin_1.0.9-2~nd90+1_amd64.deb Size: 24276 SHA256: 174c653461066c2417d02be364c2b96ad2eda852e6fb83427fb892cb52a1010e SHA1: b51f9e47aa241370a0db30563ead6aadbd91b523 MD5sum: d5f751c1dbf92ba9c01fa9fa2609b879 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: gifti-bin-dbgsym Source: gifticlib Version: 1.0.9-2~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: gifti-bin (= 1.0.9-2~nd90+1) Homepage: http://www.nitrc.org/projects/gifti Priority: extra Section: debug Filename: pool/main/g/gifticlib/gifti-bin-dbgsym_1.0.9-2~nd90+1_amd64.deb Size: 3856 SHA256: 59026672415940cd9cdbb4b081d5826c35afdd82d6bbcf1c7ef32ddc6beed634 SHA1: 17d806600d94bdc1b9911365a366064881ee8d8b MD5sum: 3a717293b908665f36c428fe158ee72f Description: Debug symbols for gifti-bin Build-Ids: 0f65973e45669b5c4182a1f909b47028387505fe a57859f34f187d98d3b0798352a42d2e5741149b Package: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 28762 Pre-Depends: dpkg (>= 1.17.13) Depends: neurodebian-popularity-contest, libc6 (>= 2.16), libcurl3-gnutls (>= 7.16.2), libexpat1 (>= 2.0.1), libpcre3, zlib1g (>= 1:1.2.0), perl, liberror-perl, git-man (>> 1:2.11.0), git-man (<< 1:2.11.0-.) Recommends: patch, less, rsync, ssh-client Suggests: gettext-base, git-daemon-run | git-daemon-sysvinit, git-doc, git-el, git-email, git-gui, gitk, gitweb, git-arch, git-cvs, git-mediawiki, git-svn Breaks: bash-completion (<< 1:1.90-1), cogito (<= 0.18.2+), git-buildpackage (<< 0.6.5), git-core (<< 1:1.7.0.4-1.), gitosis (<< 0.2+20090917-7), gitpkg (<< 0.15), gitweb (<< 1:1.7.4~rc1), guilt (<< 0.33), stgit (<< 0.15), stgit-contrib (<< 0.15) Replaces: git-core (<< 1:1.7.0.4-1.), gitweb (<< 1:1.7.4~rc1) Provides: git-completion, git-core Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git_2.11.0-3+nd1~nd90+1_amd64.deb Size: 4150154 SHA256: 6ceb3562747df9499780040736e4e5e795986ec6c1004b563c7a37f577188d89 SHA1: 735e60d69b87e370e3a58624dba28ae1488b118c MD5sum: f7e7b31afb34f5db04ba0d8ef053806c Description: fast, scalable, distributed revision control system Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git main components with minimal dependencies. Additional functionality, e.g. a graphical user interface and revision tree visualizer, tools for interoperating with other VCS's, or a web interface, is provided as separate git* packages. Package: git-all Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 673 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), git-doc, git-el, git-arch, git-cvs, git-mediawiki, git-svn, git-email, git-gui, gitk, gitweb Recommends: git-daemon-run | git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-all_2.11.0-3+nd1~nd90+1_all.deb Size: 671292 SHA256: 01d4ca17bbdf2b5aec016594cd0d980ec3aa64c83cbf39d821e791b002538269 SHA1: 246ae1de1098ecd6b9c606dd3ae6b099c3fbc621 MD5sum: e4af445bdbb308107438297cfe941c1a Description: fast, scalable, distributed revision control system (all subpackages) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This is a dummy package which brings in all subpackages. Package: git-annex-metadata-gui Version: 0.0.0~pre1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 60 Depends: neurodebian-popularity-contest, python3-git-annex-adapter, python3-pyqt5, python3:any (>= 3.3.2-2~) Homepage: https://github.com/alpernebbi/git-annex-metadata-gui Priority: optional Section: python Filename: pool/main/g/git-annex-metadata-gui/git-annex-metadata-gui_0.0.0~pre1-1~nd90+1_all.deb Size: 10332 SHA256: c9e6b75b1f43c56e01130ed62f502dcd2ed27745cc7989a4e2ba92529484dc2b SHA1: dc80188fca16cf251ae81184fcae646e189de421 MD5sum: c1b32c47d4448102f6043064e2092e53 Description: graphical interface to the metadata functionality of git-annex Flexible graphical user interface to view and manipulate metadata of git-annex repositories. Package: git-annex-remote-rclone Version: 0.6-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.6-1~nd90+1_all.deb Size: 8100 SHA256: f42623fb1b58a4696f0407c16fc188ca6fe2caef715585de7b6cbdb3906cfa36 SHA1: da50ee00bc0ff4b5be290032ea4c1e1d08a1e224 MD5sum: 6fbda680b0acce7bda7c4898621cf4d0 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: amd64 Maintainer: Richard Hartmann Installed-Size: 166312 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_amd64.deb Size: 53000596 SHA256: 8080805f2216a629460f3b65242f5562fd0f1ac34403ca0713bb0a1e132ea172 SHA1: 01eba33bc328a2698a427d7006259343f31b4a5a MD5sum: b572f29657b3bba8053a3ec047ec2ed5 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-arch Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 717 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), tla Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-arch_2.11.0-3+nd1~nd90+1_all.deb Size: 683940 SHA256: 6ad4a2817c2559ce2dce26a515b4d044c7e6e49e1f15b217ac34af21466a63ce SHA1: 03cf2212f5c4a41240e099c36f2b1536c7612238 MD5sum: 3914afcef0bed28b56b616fe67270fd5 Description: fast, scalable, distributed revision control system (arch interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides tools for importing development history from arch repositories. Package: git-core Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8 Depends: neurodebian-popularity-contest, git (>> 1:1.7.0.2) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-core_2.11.0-3+nd1~nd90+1_all.deb Size: 1438 SHA256: b799ee737bc27f081c9adecf28ed8a9123083a735909d0ad04e98f86d9217777 SHA1: a4bee8c9d2198b65f0dfe7762a2f9968cc0664bf MD5sum: 70cbef25c7235aae6f376a5a1f79f102 Description: fast, scalable, distributed revision control system (obsolete) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This is a transitional dummy package. The 'git-core' package has been renamed to 'git', which has been installed automatically. This git-core package is now obsolete, and can safely be removed from the system if no other package depends on it. Package: git-cvs Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1054 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), cvsps, libdbd-sqlite3-perl Suggests: git-doc, cvs Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-cvs_2.11.0-3+nd1~nd90+1_all.deb Size: 734400 SHA256: 5a57c17fa0f2bdf6e7a417b1a4a942cd07c95fddf09922e185ef2dd0ddad0c3a SHA1: 645f3a1f8481ee2d5e3f0857b26a20dc636eee33 MD5sum: 3326e6b3b7d14ca2109ddf4fe3b9d32b Description: fast, scalable, distributed revision control system (cvs interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git cvsimport, cvsexportcommit, and cvsserver tools, which allow Git to read from and write to CVS repositories and offer access over CVS protocol to Git repositories. . The git cvsimport tool can incrementally import from a repository that is being actively developed and only requires remote access over CVS protocol. Unfortunately, in many situations the import leads to incorrect results. For reliable, one-shot imports, cvs2git from the cvs2svn package or parsecvs may be a better fit. Package: git-daemon-run Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 685 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), runit, adduser Conflicts: git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-daemon-run_2.11.0-3+nd1~nd90+1_all.deb Size: 672820 SHA256: 9fc6c42e093d0728c8ecbaeb94f2d19d76c7a3f1ef280e9d396c9961d314e233 SHA1: 348c9d07f10c8ab829462665ce7eec4b27d1edc3 MD5sum: 07c3ce0a33434e3a235d784796f4f231 Description: fast, scalable, distributed revision control system (git-daemon service) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . git-daemon, as provided by the git package, is a simple server for git repositories, ideally suited for read-only updates, i.e. pulling from git repositories through the network. This package provides a runit service for running git-daemon permanently. Package: git-daemon-sysvinit Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 688 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), adduser, lsb-base (>= 3.0-6) Conflicts: git-daemon-run Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: extra Section: vcs Filename: pool/main/g/git/git-daemon-sysvinit_2.11.0-3+nd1~nd90+1_all.deb Size: 674002 SHA256: c898545fbe2dc7ef290357f8259c50fe518ee110c7e7ecaaedb2df284e64a48f SHA1: c8310e4e8a8bccc94b2b5d2ad64c66fa2a209c61 MD5sum: 48aeff95d250daa5d65444b6743524eb Description: fast, scalable, distributed revision control system (git-daemon service) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . git-daemon, as provided by the git package, is a simple server for git repositories, ideally suited for read-only updates, i.e. pulling from git repositories through the network. This package provides a sysvinit service for running git-daemon permanently. Package: git-dbgsym Source: git Version: 1:2.11.0-3+nd1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 31762 Depends: git (= 1:2.11.0-3+nd1~nd90+1) Homepage: https://git-scm.com/ Priority: extra Section: debug Filename: pool/main/g/git/git-dbgsym_2.11.0-3+nd1~nd90+1_amd64.deb Size: 30182346 SHA256: 3d7d5f0dbeda98d1930caaf509b52c61b626c412576cf6b1dd0dd22ff148ab95 SHA1: 4899d226dfdfa4a9a175c4ea1a5f3a0fa56a915e MD5sum: 856ceb586c4fff61a7c01c389f6bf7b2 Description: Debug symbols for git Build-Ids: 015e9548e67f7a869fbee7c1d4140d22d201c3dc 0e4e904762c16216baabf5ba3acbfa81d7b0b089 0f463a3a665fcb7db66d273e7dfb7a5a4303fad4 264397c42813e570bf22ebba944eed69a254cbcf 37abd6d503ab100f5fc6ab60914ac316be04c355 37abd6d503ab100f5fc6ab60914ac316be04c355 4e80cc521f71119b5fa92fad24184161d114bd90 666e98409aa15bd6ef3de41eb37b4eec33217fd5 6723fa39f54bc8f0103f841d4cc0dcb15e1da8fa 6723fa39f54bc8f0103f841d4cc0dcb15e1da8fa 790b8f3a4ab9763941a8fa446b510be165e56fcb 790b8f3a4ab9763941a8fa446b510be165e56fcb a3e75b6ef94b4e78dbdb67d2956f7b816dc25351 a66f46fe0071c481926b94b9e5da92c250fa6722 a9eebdfc7af39a1bc286c2163e5fb69d5fe75a4e b997c9833f270590207dd07a8b746a439f4f9745 d88fc5098e7cc6abfac05031d16ca9c7574037b4 e1cfa271ea5e754e9e992f1b20ab609621cf84cf ef69aff451c37b151791a42b66668c37aff8bed0 Package: git-doc Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10382 Depends: neurodebian-popularity-contest Suggests: git, git-arch, git-cvs, git-svn, git-email, gitk, gitweb Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: doc Filename: pool/main/g/git/git-doc_2.11.0-3+nd1~nd90+1_all.deb Size: 1533938 SHA256: e34ab7cd0d3c232ce0ef25a3ab31f0511b09e3d8d4fa9b2fbbaf2ba5a023f732 SHA1: 988ad71c68d09e101823a1a4141a5ea287f696a3 MD5sum: 9f81fe03c61ea7ba39d33cc67c7e3844 Description: fast, scalable, distributed revision control system (documentation) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the documentation. Package: git-el Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 780 Depends: neurodebian-popularity-contest, git (>= 1:1.7.4.1-2~), emacs | emacsen Breaks: git (<< 1:1.7.4.1-2~) Replaces: git (<< 1:1.7.4.1-2~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-el_2.11.0-3+nd1~nd90+1_all.deb Size: 690828 SHA256: 1969f5381664bad2fc7819dfeac406f4b269d1fd208bf988976fba87356a9496 SHA1: 76c51ac03b1b90f0066210e51c2ec6e8febf9fad MD5sum: 9dd15661c727a61163de68ad951014ab Description: fast, scalable, distributed revision control system (emacs support) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides two modules for integration with Emacs: . * git.el: . Status manager that displays the state of all the files of the project and provides easy access to the most frequently used git commands. The user interface is intended to be similar to the pcl-cvs mode. It can be started with `M-x git-status'. . * git-blame.el: . Emacs implementation of incremental "git blame". When you turn it on while viewing a file, the editor buffer will be updated by setting the background of individual lines to a color that reflects which commit it comes from. . This package does not contain the VC-mode backend for git. That is part of standard Emacs distributions, starting with version 22.2. . For a more polished Emacs interface for Git, see the magit package. Package: git-email Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 734 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.) Recommends: libemail-valid-perl, libnet-smtp-ssl-perl, libauthen-sasl-perl, libio-socket-ssl-perl (>= 1.951) Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-email_2.11.0-3+nd1~nd90+1_all.deb Size: 693096 SHA256: 1266eb1f5866014bd7925e4ce9b54b2f9fe16d75e387bb56983d087ed7341eb2 SHA1: 48076adbf4b61ff38e1bb0540a04034922e3f4f8 MD5sum: e3ed788c166e209bbdf36d746d53e9e7 Description: fast, scalable, distributed revision control system (email add-on) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git-send-email program for sending series of patch emails. Package: git-gui Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2150 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), tk Recommends: gitk Suggests: git-doc, aspell Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-gui_2.11.0-3+nd1~nd90+1_all.deb Size: 880046 SHA256: e28c7c558da475f25eb0d7e51123c6f6276f6b12a58687c73f1a9749e40309cd SHA1: dee202ea1e0e2db8caefc16a5e6f84f781bd94f0 MD5sum: 37f940906b5a2774812c59c9c1c60f18 Description: fast, scalable, distributed revision control system (GUI) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git graphical user interface. . If aspell is installed, it can check the spelling of commit messages as the user types. Package: git-hub Version: 0.10.3-1~nd90+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_all.deb Size: 34104 SHA256: 92c3d9db46a2bbff7cba44df62a81a31e229b49eb38929e7a4b69147f037b805 SHA1: 9153f1fbd7a3366a1e366f0d41900f0ea3eaac86 MD5sum: 2b16bb55aa0de8cdf6761d7d0c89badf 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: git-man Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1482 Depends: neurodebian-popularity-contest Breaks: git (<< 1:1.7.4~rc1) Replaces: git (<< 1:1.7.4~rc1), git-core (<< 1:1.7.0.4-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: doc Filename: pool/main/g/git/git-man_2.11.0-3+nd1~nd90+1_all.deb Size: 1431684 SHA256: 1fa8ba2ff66c0a1a2a13010cf2c6ca0dcbb7011797b142c5cf22a0d7dd271b80 SHA1: 6184cffb98460bc08a4ae596378ae9f1d12e538e MD5sum: ee3c22d5e31f04100e9ef539abf1c6bc Description: fast, scalable, distributed revision control system (manual pages) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides reference documentation for use by the 'man' utility and the 'git help' command. Package: git-mediawiki Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 731 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), libmediawiki-api-perl (>= 0.39), liblwp-protocol-https-perl, libdatetime-format-iso8601-perl Suggests: mediawiki Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-mediawiki_2.11.0-3+nd1~nd90+1_all.deb Size: 686178 SHA256: 239dbda5a1df1033b15c097e8016b04c50373b635c4134ad8d5c89a1b4820952 SHA1: bae7a2dbd21c696ea8d7082b4f1b7deb82a4d276 MD5sum: 918eb878f805ef2587bdaa681fba3c57 Description: fast, scalable, distributed revision control system (MediaWiki remote helper) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the mediawiki remote helper, which allows Git to read from and write to a wiki such as Wikipedia as though it were a remote Git repository, and a 'git mw' command that can show a preview of how wiki markup will be rendered before pushing. Package: git-svn Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 932 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), libsvn-perl, libyaml-perl, libterm-readkey-perl Suggests: git-doc, subversion Breaks: git (<< 1:1.8.3~rc1-1.) Replaces: git (<< 1:1.8.3~rc1-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-svn_2.11.0-3+nd1~nd90+1_all.deb Size: 756040 SHA256: c377aefb68f2768a0bd7b09be8e44bb6306ee8ec08a96dc4a8b9c7d69d97a56e SHA1: d2b5bea9aa82198f59b313322ebbbe560a6e002a MD5sum: cca221af69d05f6162500150819dd6fa Description: fast, scalable, distributed revision control system (svn interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides tools for interoperating with Subversion repositories, and importing SVN development history. Package: gitk Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1392 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), tk Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitk_2.11.0-3+nd1~nd90+1_all.deb Size: 797382 SHA256: 71bd01de1fd52489a57f2e8fd0817fe0fb206da455060130a0189ec7b2471361 SHA1: 4fd476605e387acfc2e64f8ed215102327cc080b MD5sum: 34b1602cc0618980e44861ed0591bda3 Description: fast, scalable, distributed revision control system (revision tree visualizer) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the gitk program, a tcl/tk revision tree visualizer. Package: gitweb Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 695 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), perl, libcgi-pm-perl Recommends: apache2 (>= 2.4.6-4~) | lynx-cur | httpd, libhttp-date-perl | libtime-modules-perl Suggests: httpd-cgi | libcgi-fast-perl, git-doc Breaks: apache2.2-common (<< 2.3~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitweb_2.11.0-3+nd1~nd90+1_all.deb Size: 675550 SHA256: 8045c0b3a444889f7dac00e5cc89c093736f624818b0b6e8023329c3d3b932db SHA1: 50e2473d658ac6484dec4820de112cae7fe42c14 MD5sum: 1444864e2fd28fe5723ecf3360bb0dd4 Description: fast, scalable, distributed revision control system (web interface) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package configures a web interface for browsing git repositories. . If apache2 is installed, the web interface is automatically made available at http://localhost/gitweb. Other servers that support CGI or mod_perl are supported through manual configuration. . If libcgi-fast-perl is installed, gitweb can also be run over FastCGI (and served by nginx, for example). Package: glew-utils Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 416 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1), libc6 (>= 2.14), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 Replaces: libglew1.6 (<< 1.7) Homepage: http://glew.sourceforge.net Priority: optional Section: utils Filename: pool/main/g/glew/glew-utils_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 93182 SHA256: bce4ab7737d7aa2197d10549126a6abb0d098e35f534f2174e24041ee65c0082 SHA1: ebfb22f562fb68764531de12e6a43e969c138175 MD5sum: 4560d4d5498df2feb8b15ecfcd885a17 Description: OpenGL Extension Wrangler - utilities For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the utilities which can be used to query the supported OpenGL extensions. Package: gmsl Version: 1.1.5-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 89 Depends: neurodebian-popularity-contest, make Homepage: http://gmsl.sourceforge.net/ Priority: optional Section: devel Filename: pool/main/g/gmsl/gmsl_1.1.5-1~nd80+1+nd90+1_all.deb Size: 13846 SHA256: f245e355fff5b0333d20373a3733b34a6d5b89ecbb07e4a9f6dfe46266429ee1 SHA1: 96f7917de1151cc9ac199889d3346600c5beb585 MD5sum: 036fe63e248473476a6832cdce6324e0 Description: extra functions to extend functionality of GNU Makefiles The GNU Make Standard Library (GMSL) is a collection of functions implemented using native GNU Make functionality that provide list and string manipulation, integer arithmetic, associative arrays, stacks, and debugging facilities. . Note that despite the name of this project, this library is NOT standard and is NOT written or distributed by the GNU project. Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: guacamole Source: guacamole-client Version: 0.8.3-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 516 Depends: neurodebian-popularity-contest, guacd Recommends: libguac-client-vnc0 Suggests: tomcat6 | jetty Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-client/guacamole_0.8.3-1~nd80+1+nd90+1_all.deb Size: 431706 SHA256: 5baa52ac170db52217a2be61aa88e322b8b07d6547ff413c7c07a7ac5bf553fc SHA1: 38c24c6ff1aff4765fa37cdb6da96279569d4152 MD5sum: 523c9f22b9b0eba895a126a68c17b946 Description: HTML5 web application for accessing remote desktops Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. Package: guacamole-tomcat Source: guacamole-client Version: 0.8.3-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, debconf, guacamole, tomcat6, libguac-client-vnc0, debconf (>= 0.5) | debconf-2.0 Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-client/guacamole-tomcat_0.8.3-1~nd80+1+nd90+1_all.deb Size: 6780 SHA256: 6c7669e2313d4005be8fcd92836431a6acb0a8f6ff4b8c47108098e729bb4de1 SHA1: 8a20da50241cc0df8ca6b943c6896fca09230629 MD5sum: e152fd7e06d9454ac0c22f08b3dd4b9f Description: Tomcat-based Guacamole install with VNC support Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. . This metapackage depends on Tomcat, Guacamole, and the VNC support plugin for guacamole. Guacamole is automatically installed and configured under Tomcat. Package: guacd Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 51 Depends: neurodebian-popularity-contest, lsb-base (>= 3.0-6), libc6 (>= 2.15), libguac5, libssl1.0.0 (>= 1.0.0) Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-server/guacd_0.8.3-1~nd80+1+nd90+1_amd64.deb Size: 14096 SHA256: 717693a50cccf00b8ecb8eaf92ff1571d2c7f7fe730023d6ee4356a00afef434 SHA1: cc37faccaab1de2d77c908ed56bf1ef8bd9538d9 MD5sum: fb736f6605e37244d86a8ff0280e7571 Description: Guacamole proxy daemon The Guacamole proxy daemon, guacd, translates between remote desktop protocols (like VNC) and the Guacamole protocol using protocol plugins. Once a user is authenticated with the Guacamole web application, a tunnel is established through the web application to guacd, allowing the JavaScript client to communicate to an arbitrary remote desktop server through guacd. Package: heudiconv Version: 0.5.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 977 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_0.5.4-1~nd90+1_all.deb Size: 251776 SHA256: c781446cf3db2207f222dbb5f9c8408fcaf904bd5622998a2725df1ff0f6b383 SHA1: d08c13f299ca0dc1ca25e7b73accfbec50867860 MD5sum: a36214287d0e7dfbfbb85c0850265b37 Description: DICOM converter with support for structure heuristics This is a flexible dicom converter for organizing brain imaging data into structured directory layouts. It allows for flexible directory layouts and naming schemes through customizable heuristics implementations. It only converts the necessary dicoms, not everything in a directory. It tracks the provenance of the conversion from dicom to nifti in w3c prov format. Package: htcondor Source: condor Version: 8.6.8~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 13954 Depends: neurodebian-popularity-contest, adduser, debconf (>= 0.5) | debconf-2.0, libdate-manip-perl, python, lsb-base (>= 3.0-6), libclassad8 (= 8.6.8~dfsg.1-1~nd90+1), perl:any, libc6 (>= 2.15), libcgroup1 (>= 0.37.1), libcomerr2 (>= 1.01), libcurl3 (>= 7.16.2), libexpat1 (>= 2.0.1), libgcc1 (>= 1:3.0), libglobus-callout0 (>= 3), libglobus-common0 (>= 16), libglobus-ftp-client2 (>= 7), libglobus-gass-transfer2 (>= 7), libglobus-gram-client3 (>= 12), libglobus-gram-protocol3 (>= 11), libglobus-gsi-callback0 (>= 4), libglobus-gsi-cert-utils0 (>= 8), libglobus-gsi-credential1 (>= 6), libglobus-gsi-openssl-error0 (>= 2), libglobus-gsi-proxy-core0 (>= 8), libglobus-gsi-proxy-ssl1 (>= 4), libglobus-gsi-sysconfig1 (>= 5), libglobus-gss-assist3 (>= 9), libglobus-gssapi-error2 (>= 4), libglobus-gssapi-gsi4 (>= 12.10), libglobus-io3 (>= 11), libglobus-openssl-module0 (>= 3), libglobus-rsl2 (>= 9), libglobus-xio0 (>= 5), libgomp1 (>= 4.9), libgsoap10, libgssapi-krb5-2 (>= 1.6.dfsg.2), libk5crypto3 (>= 1.6.dfsg.2), libkrb5-3 (>= 1.13~alpha1+dfsg), libkrb5support0 (>= 1.7dfsg~beta2), libldap-2.4-2 (>= 2.4.7), libltdl7 (>= 2.4.6), libpcre3, libssl1.1 (>= 1.1.0), libstdc++6 (>= 5.2), libuuid1 (>= 2.16), libvirt0 (>= 0.5.0), libx11-6, libxext6, libxss1, zlib1g (>= 1:1.1.4) Recommends: dmtcp, ecryptfs-utils Suggests: docker.io, coop-computing-tools, singularity-container, slurm-client Breaks: condor (<< 8.0.5~) Replaces: condor (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: science Filename: pool/main/c/condor/htcondor_8.6.8~dfsg.1-1~nd90+1_amd64.deb Size: 3934410 SHA256: 0f723c0d5b8a3f52c71e4123515960c739abaa4bc9570239c4d0ce1313a2aba5 SHA1: 8fba414858c7c110248b351a77b1c3db221c1355 MD5sum: f63db01df2fc2afb49d5dacb2fbe6f4f Description: distributed workload management system Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package can set up an appropriate initial configuration at install time for a machine intended either as a member of an existing HTCondor pool or as a "Personal" (single machine) HTCondor pool. Package: htcondor-dbg Source: condor Version: 8.6.8~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 40057 Depends: neurodebian-popularity-contest, htcondor (= 8.6.8~dfsg.1-1~nd90+1) Breaks: condor-dbg (<< 8.0.5~) Replaces: condor-dbg (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: debug Filename: pool/main/c/condor/htcondor-dbg_8.6.8~dfsg.1-1~nd90+1_amd64.deb Size: 38015294 SHA256: 8f87f40aee72e0a0567bf8b7adea0cedf82e505e62f082a2c6f0d96604044ac3 SHA1: 2eb300b32812117becf6104b797bb13d2d25ac69 MD5sum: ffc8f92e08494dc967636597054d5f00 Description: distributed workload management system - debugging symbols Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides the debugging symbols for HTCondor. 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Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides headers and libraries for development of HTCondor add-ons. Package: htcondor-doc Source: condor Version: 8.6.8~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6225 Depends: neurodebian-popularity-contest Breaks: condor-doc (<< 8.0.5~) Replaces: condor-doc (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: doc Filename: pool/main/c/condor/htcondor-doc_8.6.8~dfsg.1-1~nd90+1_all.deb Size: 1086792 SHA256: 1c39b8b4147dd07c1fa08e339101e8a0aead9af197cb884c8cd3e20f06d59109 SHA1: d0a39a203980655019ce016939628947f1984065 MD5sum: e4fdd7c7ec42aabf0e7e62e467a88edb Description: distributed workload management system - documentation Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides HTCondor's documentation in HTML and PDF format, as well as configuration and other examples. Package: impressive Version: 0.12.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 475 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~nd90+1_all.deb Size: 190682 SHA256: 5978758d7b8864b793c33e5ce44c9824a3bac9e4da466dcad39099bd056ac8ee SHA1: b99e227127384e24aeec3a0f281d3f0c5b9e1c2c MD5sum: 8255271f993c99ca12dfc4e19a6909b7 Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization * Support of movies presentation * Active hyperlinks within PDFs Package: incf-nidash-oneclick-clients Source: incf-nidash-oneclick Version: 2.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: neurodebian-popularity-contest, python (>= 2.5.0), python-dicom, dcmtk, python-httplib2 Homepage: http://xnat.incf.org/ Priority: extra Section: science Filename: pool/main/i/incf-nidash-oneclick/incf-nidash-oneclick-clients_2.0-1~nd70+1+nd90+1_all.deb Size: 9058 SHA256: dcb57631757a7635c3ee68bb989b2f3f77856c1f88d842cd64848f9776236e69 SHA1: e1caeb23b63a7b84829314c2a60b5130edb4d200 MD5sum: c220623e4e8976077d0c3de0d45bec30 Description: utility for pushing DICOM data to the INCF datasharing server A command line utility for anonymizing and sending DICOM data to the XNAT image database at the International Neuroinformatics Coordinating Facility (INCF). This tool is maintained by the INCF NeuroImaging DataSharing (NIDASH) task force. Package: init-system-helpers Version: 1.18~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, perl Breaks: systemd (<< 44-12) Multi-Arch: foreign Priority: extra Section: admin Filename: pool/main/i/init-system-helpers/init-system-helpers_1.18~nd80+1+nd90+1_all.deb Size: 13434 SHA256: 62d797ebebb6d054e9bfd1e70bfbc4eb760d8e06fa249d32af9f365f170f9f26 SHA1: 0d36a24804a540495ffcbba060615184e3708bbf MD5sum: 4d9b782a3c2f9164950b1f12bc035513 Description: helper tools for all init systems This package contains helper tools that are necessary for switching between the various init systems that Debian contains (e.g. sysvinit, upstart, systemd). An example is deb-systemd-helper, a script that enables systemd unit files without depending on a running systemd. . While this package is maintained by pkg-systemd-maintainers, it is NOT specific to systemd at all. Maintainers of other init systems are welcome to include their helpers in this package. Package: insighttoolkit4-examples Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3081 Depends: neurodebian-popularity-contest Suggests: libinsighttoolkit4-dev Conflicts: insighttoolkit-examples Replaces: insighttoolkit-examples Homepage: http://www.itk.org/ Priority: optional Section: devel Filename: pool/main/i/insighttoolkit4/insighttoolkit4-examples_4.7.0-1~nd80+1+nd90+1_all.deb Size: 2498516 SHA256: d34d9328e9e8bd7bfb745a1cd0b915f0f61485c07ec1e0f65fc4c0f14eb68aed SHA1: 90d42a16d1a1b428e004c26671f83663ca9b35d0 MD5sum: 276b12088d4b89a13556404f5b95b99c Description: Image processing toolkit for registration and segmentation - examples ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the source for example programs. Package: insighttoolkit4-python Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 879658 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfftw3-double3, libfftw3-single3, libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.7, libpython2.7 (>= 2.7), libstdc++6 (>= 4.9) Conflicts: insighttoolkit-python Replaces: insighttoolkit-python Homepage: http://www.itk.org/ Priority: optional Section: python Filename: pool/main/i/insighttoolkit4/insighttoolkit4-python_4.7.0-1~nd80+1+nd90+1_amd64.deb Size: 74485030 SHA256: 93c8703372e194d72ad4f327f8c2fe9769a02ce0782c8bf70cb133cd4a231db8 SHA1: fabf81d61137d941816d5c168faf6d8d0ca1cab6 MD5sum: 9dd137d8e8b44c792810730ee78889b9 Description: Image processing toolkit for registration and segmentation - Python bindings ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the Python bindings. Package: ismrmrd-schema Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/ismrmrd-schema_1.3.2-1~nd90+1_all.deb Size: 5024 SHA256: 47783565e8cf25043a7b556a2b246d873b3c1ceb958483c976a42656adc4829f SHA1: ab4854bd21f47ff471d488fdb44faa6bae9982bb MD5sum: 216c6a39349f3df9045fab732fcef2ef Description: ISMRM Raw Data format (ISMRMRD) - XML schema The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the XML schema. Package: ismrmrd-tools Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 423 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd90+1), libboost-program-options1.58.0, libc6 (>= 2.14), libfftw3-single3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 5.2) Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/ismrmrd-tools_1.3.2-1~nd90+1_amd64.deb Size: 122206 SHA256: 3edb99618d98e65c7feb804cb662a775c3c5c265ef83c125e805de705503e18b SHA1: fae3f3a034c1e51813208db9f3bf92b838507f38 MD5sum: 258a9bf14ecc77d6dccd2130ce20b2bb Description: ISMRM Raw Data format (ISMRMRD) - binaries The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the binaries. Package: isympy-common Source: sympy Version: 1.1.1-4~nd90+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~nd90+1_all.deb Size: 189700 SHA256: 43151e332f9c3e48d6abec7398b629b11c7d4ff3e6c53563ebfc2f37ec1255ba SHA1: 49ed2484c8495427647c3827ff5277ab714825e0 MD5sum: 235cc5ec52064d79a8b4d13172a6c56c 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~nd90+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~nd90+1_all.deb Size: 7706 SHA256: 1c5f03855a718d484456f7b4ac5d40c48fa4ecf8a85c82100f1dbf4f3615661c SHA1: 95b462a34d46e5f50bc00aea3e76c54ce587efce MD5sum: 00afe74197cd38b7e19c485e55663506 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: itksnap Version: 3.2.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 14495 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgdcm2.4, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libinsighttoolkit4.6, libqt5core5a (>= 5.1.0), libqt5gui5 (>= 5.2.0), libqt5opengl5 (>= 5.0.2), libqt5qml5 (>= 5.0.2), libqt5widgets5 (>= 5.2.0), libstdc++6 (>= 4.9), libvtk6.1, zlib1g (>= 1:1.1.4) Homepage: http://www.itksnap.org Priority: optional Section: science Filename: pool/main/i/itksnap/itksnap_3.2.0-1~nd80+1+nd90+1_amd64.deb Size: 3350358 SHA256: b7431bbc19a88addea14f2436b06d07e22a07082dc783e41418383c0c7366508 SHA1: ee771dff6152b845d363a10261f38e838434bbd6 MD5sum: a67d1c11728c50aa0e3d98f5aa4e4324 Description: semi-automatic segmentation of structures in 3D images SNAP provides semi-automatic segmentation of structures in medical images (e.g. magnetic resonance images of the brain) using active contour methods, as well as manual delineation and image navigation. Noteworthy features are: . * Linked cursor for seamless 3D navigation * Manual segmentation in three orthogonal planes at once * Support for many different 3D image formats, including NIfTI * Support for concurrent, linked viewing and segmentation of multiple images * Limited support for color images (e.g., diffusion tensor maps) * 3D cut-plane tool for fast post-processing of segmentation results Package: jasp Version: 0.8.1.0~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 39711 Depends: neurodebian-popularity-contest, libarchive13 (>= 3.0.4), libboost-filesystem1.62.0, libboost-system1.62.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5svg5 (>= 5.6.0~beta), 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_amd64.deb Size: 33372382 SHA256: 2972d8d44232b8dfef26d17116fe362eb6d185b69940d22ec9a813af618800b6 SHA1: b0635c22e5c10a51109d83d942fffc2e2e442c17 MD5sum: bc10dd777c08e21d51e683af64d988a3 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: jasp-dbgsym Source: jasp Version: 0.8.1.0~dfsg.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 44901 Depends: jasp (= 0.8.1.0~dfsg.1-1~nd90+1) Homepage: https://jasp-stats.org Priority: extra Section: debug Filename: pool/main/j/jasp/jasp-dbgsym_0.8.1.0~dfsg.1-1~nd90+1_amd64.deb Size: 44683948 SHA256: bddfb7cd234cbf3a03648fd5f333e36a5762d02e0762d0f03878a6c5728860f9 SHA1: a90f3040559fc69ac10f4dbcb1492ac52ce95b97 MD5sum: f420328d74f26d37c78dbf7734a3ec38 Description: Debug symbols for jasp Build-Ids: 3a06a89d7f8c9738cc857a42d6cf7748792cc2a6 9867c22abfcfb94151583f60b11882ed3b7f733a Package: klustakwik Version: 2.0.1-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://sourceforge.net/projects/klustakwik/ Priority: extra Section: science Filename: pool/main/k/klustakwik/klustakwik_2.0.1-1~nd70+1+nd90+1_amd64.deb Size: 19978 SHA256: ad601aeb95022f3b8c5f18b9c93045c22efaacda23f964912a1687367648e534 SHA1: e6b4483bdc328a0b4036efac49083940bb73a0df MD5sum: 43805661fb5090024f09c871a91210f1 Description: automatic sorting of the samples (spikes) into clusters KlustaKwik is a program for automatic clustering of continuous data into a mixture of Gaussians. The program was originally developed for sorting of neuronal action potentials, but can be applied to any sort of data. Package: libbiosig-dev Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1743 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd80+1+nd90+1) Homepage: http://biosig.sf.net/ Priority: extra Section: libdevel Filename: pool/main/b/biosig4c++/libbiosig-dev_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 300010 SHA256: d2df4f17877d5b2bae3105b48ded30a0784adfd60c4e902f7b3ef2e1a7e8e8e0 SHA1: b004a4b99748376c4a387badba5ad99f784a944c MD5sum: 38c432b323de4d0b298c03b617a90065 Description: I/O library for biomedical data - development files BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides header files and static library. Package: libbiosig1 Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 927 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: libs Filename: pool/main/b/biosig4c++/libbiosig1_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 277602 SHA256: bfff35a9128e822c3224778899f6e0f9b18c7130f302feb4963d25b10bcc110b SHA1: a7c4e69c1d91bcb20c5c36b47e0644f1257a08a7 MD5sum: dd253db2d86c4368aae8c65f890d01c5 Description: I/O library for biomedical data - dynamic library BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides dynamic library. Package: libbiosig1-dbg Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 355 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd80+1+nd90+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig1-dbg_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 65438 SHA256: 1e1eec49e150e3740c8f9b7dccbb1017d93bf68038911558c1a253e9beb5353e SHA1: d8ba0bc5f67ab636257e4040c8b76abb67553c1e MD5sum: 822e631f0d48d64822c01680dea79f45 Description: I/O library for biomedical data - debug symbols BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides debug symbols. Package: libcgroup-dev Source: libcgroup Version: 0.37.1-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, libcgroup1 (= 0.37.1-1~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libdevel Filename: pool/main/libc/libcgroup/libcgroup-dev_0.37.1-1~nd70+1+nd90+1_amd64.deb Size: 15858 SHA256: 5e103e727bf5927d62faf044d390766f5ee3c6723b01dfb33b9d7d089579ed94 SHA1: 369c0e9ab93d72efb9f92efb9a8fed04b9292ab1 MD5sum: ae064099fba8ee8c76581eb0e1a385c7 Description: Development libraries to develop applications that utilize control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . It provides API to create/delete and modify cgroup nodes. It will also in the future allow creation of persistent configuration for control groups and provide scripts to manage that configuration. Package: libcgroup1 Source: libcgroup Version: 0.37.1-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 87 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libs Filename: pool/main/libc/libcgroup/libcgroup1_0.37.1-1~nd70+1+nd90+1_amd64.deb Size: 32986 SHA256: f7c0e0f092af9687db12c239f4c1f99d2a784de82a6230d59789669dd6cda225 SHA1: f936f96564e136222f44e256d957eca78f68abe6 MD5sum: 3bcbccecc402488267c13b3c8bbc0135 Description: Library to control and monitor control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . This library allows applications to manipulate, control, administrate and monitor control groups and the associated controllers. Package: libclassad-dev Source: condor Version: 8.6.8~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1466 Depends: neurodebian-popularity-contest, libclassad8 (= 8.6.8~dfsg.1-1~nd90+1) Conflicts: libclassad0-dev Replaces: libclassad0-dev Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libdevel Filename: pool/main/c/condor/libclassad-dev_8.6.8~dfsg.1-1~nd90+1_amd64.deb Size: 252894 SHA256: 166c7a5bbe2e028324eff0dc3acff3d53df6fd41a0f616b5e81733cb31336e3c SHA1: 2c5666d3e11cbf3061f3659bcee3714f865a6fa4 MD5sum: 79949c9468e69ea1415f9cef411fe8af Description: HTCondor classads expression language - development library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the static library and header files. Package: libclassad7 Source: condor Version: 8.4.9~dfsg.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 617 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libpcre3, libstdc++6 (>= 5.2) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libs Filename: pool/main/c/condor/libclassad7_8.4.9~dfsg.1-2~nd90+1_amd64.deb Size: 194220 SHA256: b77b8ad428eea1e024b4e9ff786e3eb2217c35cbbe5fb51dffddfc757b90f5dc SHA1: e57a0381468892ca89a547651935a69cb5b8afbd MD5sum: 1e7470493cadac3363e7a4f788144f58 Description: HTCondor classads expression language - runtime library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the runtime library. Package: libclassad8 Source: condor Version: 8.6.8~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 641 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libpcre3, libstdc++6 (>= 5.2) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libs Filename: pool/main/c/condor/libclassad8_8.6.8~dfsg.1-1~nd90+1_amd64.deb Size: 201236 SHA256: f336ef8a9ae52b2c1a9546e6564b2d2c2eab1754c0fe336361309aff8fc7f2ac SHA1: e39432cfbdeed6d505712dc26abb00a325da3426 MD5sum: e4b46488a2ea0ce6d30e70150c45ea89 Description: HTCondor classads expression language - runtime library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the runtime library. Package: libcnrun2 Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 296 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libgsl2, 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_amd64.deb Size: 85618 SHA256: 1c3e795467f80828c339161bb5fc28085d55caef7673ba2bdfac2184dc2fffcf SHA1: ad9f6af402621502d318fa39cbde2143fe816d23 MD5sum: f05634786dce4b2ff5e6fb655295997a 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-dbgsym Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 985 Depends: libcnrun2 (= 2.1.0-1~nd90+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/libcnrun2-dbgsym_2.1.0-1~nd90+1_amd64.deb Size: 953508 SHA256: 9b2610b2d1b7c33a433a99624151ad4a1b3470254ce06153822408969299c2a6 SHA1: bb58670912f19ef45ffb51fb01bbb3c2d9ff1b3f MD5sum: 1936f76f5359fbd9cbeffcfa11665733 Description: Debug symbols for libcnrun2 Auto-Built-Package: debug-symbols Build-Ids: 859d2183a428b92f4c1f204b6ee8fcc5cf1c4e64 Package: libcnrun2-dev Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: neurodebian-popularity-contest, libcnrun2 (= 2.1.0-1~nd90+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_amd64.deb Size: 25234 SHA256: cdc5cf615252bddfbf486e797b93888411e95f4f0e7c6c9eb628ed745948f083 SHA1: 8c2442062e33bf82251ce9d21ce813bed94673e8 MD5sum: 1722d04c0580a2dbd6062dc137442c60 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: libdouble-conversion-dbg Source: double-conversion Version: 2.0.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 117 Depends: neurodebian-popularity-contest, libdouble-conversion1 (= 2.0.1-1~nd80+1+nd90+1) Multi-Arch: same Homepage: http://double-conversion.googlecode.com Priority: extra Section: debug Filename: pool/main/d/double-conversion/libdouble-conversion-dbg_2.0.1-1~nd80+1+nd90+1_amd64.deb Size: 92386 SHA256: 72f6e116d7eb0c455d3f781b122a4555f4810b96f7eb6484c2d53b3d9e1aa358 SHA1: c176071e749d1e3e336881bc9f44bc3476d0a204 MD5sum: 98c81cd0e961c54d316b2753d08b1f84 Description: routines to convert IEEE floats to and from strings (debugging symbols) This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains the detached debugging symbols of the library. Package: libdouble-conversion-dev Source: double-conversion Version: 2.0.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 215 Depends: neurodebian-popularity-contest, libdouble-conversion1 (= 2.0.1-1~nd80+1+nd90+1) Homepage: http://double-conversion.googlecode.com Priority: extra Section: libdevel Filename: pool/main/d/double-conversion/libdouble-conversion-dev_2.0.1-1~nd80+1+nd90+1_amd64.deb Size: 49548 SHA256: f5e633b902c745e2b34451c9415dba9dec30fb4961fcf801510397b7b8b0b650 SHA1: bbfcadd0c71cf6a8485b105f16cc88ef0569455c MD5sum: ddbb297bb8b69ff612ffbc1d79cb4513 Description: routines to convert IEEE floats to and from strings (development files) This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains a static version of the library and development headers. Package: libdouble-conversion1 Source: double-conversion Version: 2.0.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Multi-Arch: same Homepage: http://double-conversion.googlecode.com Priority: extra Section: libs Filename: pool/main/d/double-conversion/libdouble-conversion1_2.0.1-1~nd80+1+nd90+1_amd64.deb Size: 33356 SHA256: f8569b1c96c852648075502087884d0c712efa74eb969070ec6d87049506f223 SHA1: 454e4286386a160e8bdec1abeee34d7288a60438 MD5sum: 06957041f3c202f15e613a45484e725a Description: routines to convert IEEE floats to and from strings This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains a shared version of the library. Package: libedac-dev Source: edac-utils Version: 0.18+git12-gd98769e-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 43 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git12-gd98769e-1~nd90+1) Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18+git12-gd98769e-1~nd90+1_amd64.deb Size: 14586 SHA256: 4c1a149549067a9c3a28dbcabf6bb9f7a6564adc367fb2067901c7365e281bdf SHA1: 6f18bcaa8254e1bb3d4db99e7b030957f3535b4a MD5sum: 3decf2dbd4d6d4d5d950981383843aca Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package contains development files for the library Package: libedac1 Source: edac-utils Version: 0.18+git12-gd98769e-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libsysfs2 Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libs Filename: pool/main/e/edac-utils/libedac1_0.18+git12-gd98769e-1~nd90+1_amd64.deb Size: 10550 SHA256: a470cbb051a79b2ec61f4c00980bbc7c381666367c409ddb318b31919f9e1e49 SHA1: a32394cf84dca33e0bd957a2fd6a958562429d75 MD5sum: 55cb0fb0c8abe1d677e69afa2dfeb6b1 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library Package: libedac1-dbg Source: edac-utils Version: 0.18+git12-gd98769e-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 60 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git12-gd98769e-1~nd90+1) Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: debug Filename: pool/main/e/edac-utils/libedac1-dbg_0.18+git12-gd98769e-1~nd90+1_amd64.deb Size: 32082 SHA256: 58ecb4dbe1569a6f4d3d4855fa93219526d19077415450b0ceae83dbc9548979 SHA1: 59a9b4844e3bf9b66c5d258fbb2c468d14b31fc5 MD5sum: 58c19cc947b6fa89405faaac80772834 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library with debugging symbols not stripped Build-Ids: a4fe3c29d0648519a6914a7fa30eccbf5725c275 23a712c5509b1baf4d8de27cd5e40fe8ee25d56f Package: libexempi-dev Source: exempi Version: 2.4.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4056 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd90+1) Multi-Arch: same Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: libdevel Filename: pool/main/e/exempi/libexempi-dev_2.4.1-1~nd90+1_amd64.deb Size: 649968 SHA256: 85650c38719ce2c26202be87441d2b5ddfcb1a07e014ed931408b18b0109e747 SHA1: 494260cf4d029055ee5fe6c41bd36edb5b364001 MD5sum: b23a9101b3ef19806626b6269ce4ea72 Description: library to parse XMP metadata (Development files) Exempi is a library to parse XMP metadata as defined by the specification. . 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 development files for using exempi. Package: libexempi3 Source: exempi Version: 2.4.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1717 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libexpat1 (>= 2.0.1), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Multi-Arch: same Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: libs Filename: pool/main/e/exempi/libexempi3_2.4.1-1~nd90+1_amd64.deb Size: 543716 SHA256: 1fdd90468ee9e82ad32ff47eca2022fbaf1f84ceebd016554980375e098112d8 SHA1: a038ad38f42308459348ae49e77ade6a0628cedd MD5sum: 2ffa51121067b8082c56af244d214c63 Description: library to parse XMP metadata (Library) Exempi is a library to parse XMP metadata as defined by the specification. . 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. Package: libexempi3-dbgsym Source: exempi Version: 2.4.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5448 Depends: libexempi3 (= 2.4.1-1~nd90+1) Breaks: libexempi3-dbg (<< 2.3.0-1~) Replaces: libexempi3-dbg (<< 2.3.0-1~) Multi-Arch: same Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: extra Section: debug Filename: pool/main/e/exempi/libexempi3-dbgsym_2.4.1-1~nd90+1_amd64.deb Size: 5539112 SHA256: 9d3d36d089f6e1df031208a0119160ce39e185af9b2553ad455aa12b42d5371a SHA1: 986ec56c420e1cebed870efde0331283d748c3ac MD5sum: bb6544315297bbf6d18ab4b4527e51e3 Description: Debug symbols for libexempi3 Build-Ids: 569fe3a40b95056b128162447e38806d73495e0b Package: libfreeipmi-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7784 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libfreeipmi16 (= 1.4.9-1~nd90+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_amd64.deb Size: 915618 SHA256: 64189fa919ee5959a633dbfde316c90e030f903b28a56c639e30886eb308eeef SHA1: 5f207c03131a91932109139220c76004e325c2bc MD5sum: fc8dcbddfa7710a2f16cfc4839b4e222 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5091 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcrypt20 (>= 1.6.1), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi16_1.4.9-1~nd90+1_amd64.deb Size: 823180 SHA256: 72c264d82f70e9d59f51e2e699691875122f19a0d39d1d5fe1c1e02d500380a9 SHA1: 5f92ef54a774c117245d253e2b4dc922b8a27fda MD5sum: 054b284b8b1b392acb882bb3552285ba 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: libfreenect-bin Source: libfreenect Version: 1:0.5.3-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 266 Depends: neurodebian-popularity-contest, freeglut3, libc6 (>= 2.14), libfreenect0.5 (>= 1:0.5.2), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5.2) Breaks: libfreenect-demos (<< 1:0.1.2+dfsg-1) Replaces: libfreenect-demos (<< 1:0.1.2+dfsg-1) Homepage: http://openkinect.org/ Priority: extra Section: utils Filename: pool/main/libf/libfreenect/libfreenect-bin_0.5.3-3~nd90+1_amd64.deb Size: 56116 SHA256: 1d96bdc9d003f4b8322e5e8fadddd67ea01868985467176050db8add1f11cc82 SHA1: 6b123023643127323f167be25fcde2b86be28bf0 MD5sum: 090a0288ad48a4382141a4476a8c87ac Description: library for accessing Kinect device -- utilities and samples libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package includes utilities and sample programs for kinect. Package: libfreenect-bin-dbgsym Source: libfreenect Version: 1:0.5.3-3~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 348 Depends: libfreenect-bin (= 1:0.5.3-3~nd90+1) Homepage: http://openkinect.org/ Priority: extra Section: debug Filename: pool/main/libf/libfreenect/libfreenect-bin-dbgsym_0.5.3-3~nd90+1_amd64.deb Size: 222814 SHA256: 8bb9c1680cc3f18e94982f624153fcdf5a0b5a2e2092d471de9a7f948172ad5d SHA1: a1f055565be47345afa715310933a7d506fa04e9 MD5sum: e34b1da9e259740eed47b4d02645130c Description: Debug symbols for libfreenect-bin Build-Ids: 18ca6a59f6d4765181d99965b9722377ed83621f 1f0da1bb2b5716f086e6fb1b0641702cc5078d4a 255bb7058ed16637b305d2623b41aaad7ece2a32 501f935da015083d45401280f843b96ee3a1b6c5 5775d73d8aabb4f7ebb73db28007460136302823 67df4863016217f4022b412c7f24cc03dc4d2aac 72002f0181fb3226f7d7ed6a6df626265a8cb4a5 95c112e803db1d56cf58768048004fd5088d0658 b044afcafb90706367ab2b393c8c0586b6e99ec4 be75709b49584ba9d869711675646ae923a31289 c7a30efe1448615b3ea32f312db5163ffac91142 ee7f4137da8329351617838f3a0a7e8e73dadc3f f80073b56f5ccac6b750ea4dc3315cdf8a0c550f Package: libfreenect-demos Source: libfreenect Version: 1:0.5.3-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, libfreenect-bin Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-demos_0.5.3-3~nd90+1_amd64.deb Size: 8980 SHA256: d3605cfeccbed233abf2b03252a62e9081792ba1c4646a47f89b8c263de47525 SHA1: 18e9f335f74407780204270408754ad1c76bfcff MD5sum: fcf63d07c663e6bf5190097f5811f557 Description: library for accessing Kinect device -- dummy package libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package is a metapackage to do the transition from libfreenect-demos to libfreenect-bin. This package can be removed after installation. Package: libfreenect-dev Source: libfreenect Version: 1:0.5.3-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 79 Depends: neurodebian-popularity-contest, libfreenect0.5 (= 1:0.5.3-3~nd90+1), libusb-1.0-0-dev (>= 1.0.18~) Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-dev_0.5.3-3~nd90+1_amd64.deb Size: 19740 SHA256: cb126654f752f84eaeb81bd74b5771cf05c74a02ceebbcce2acafe31c78fddb4 SHA1: fa9f70ad258f7a6383429773b2c75583286938da MD5sum: bf46d23cadea5dc6a267cd518f8a7d77 Description: library for accessing Kinect device -- development files libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the development package containing the libraries and header for software development with libfreenect. Package: libfreenect-doc Source: libfreenect Version: 1:0.5.3-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 869 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.5.3-3~nd90+1_all.deb Size: 142416 SHA256: 6cad33f889f4c5d195da2dea4e363027fbeca79f82d05c97d45b5b930b759f03 SHA1: 374019ee59f201bb7a57a28b9eee1601f86d7149 MD5sum: 872a91721ad4fcae0de647812d3da266 Description: library for accessing Kinect device -- documentation libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the documentation of the API of libfreenect. Package: libfreenect0.5 Source: libfreenect Version: 1:0.5.3-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 131 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libusb-1.0-0 (>= 2:1.0.12) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.5_0.5.3-3~nd90+1_amd64.deb Size: 42714 SHA256: 834085446dee047355f2790fd0472f82106c0207264ce99750646ff322675c4c SHA1: ea22f66c28d01cc95fc44215f48810164cbaa125 MD5sum: 4169338a52ba9394ba2f1159706de27e Description: library for accessing Kinect device libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the shared library of libfreenect. Package: libfreenect0.5-dbgsym Source: libfreenect Version: 1:0.5.3-3~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 122 Depends: libfreenect0.5 (= 1:0.5.3-3~nd90+1) Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: debug Filename: pool/main/libf/libfreenect/libfreenect0.5-dbgsym_0.5.3-3~nd90+1_amd64.deb Size: 86624 SHA256: cd643bf824c3f96453fc601b4e8dad3ffc07691ba606f76fcc19fed98f8c1bcf SHA1: c0743dc43e1d353de605e1328da72e1bd5461d92 MD5sum: 45ebb05691b0ead0d185f848c6077362 Description: Debug symbols for libfreenect0.5 Build-Ids: 78b7d373f8460d257757f9d0769ead7c2b942a38 d1a78ea3463be58f59ee795e84e0181af31ec5f8 f5ceff207bf5d1c2906dd022279c788361df289a Package: libgdf-dev Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 115 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.2-2~nd70+1+nd90+1_amd64.deb Size: 17388 SHA256: bb6f84afdf72035f9004d9e221388f46995a0ea79099e1ddfda6bf02c714a876 SHA1: 95366efae4c374453f2db0c494b0eddaacf6510f MD5sum: 5ed58c6bdf8f4be6ed56e373624a648a Description: IO library for the GDF -- development library GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the header files and static library. Package: libgdf0 Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 817 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.6) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.2-2~nd70+1+nd90+1_amd64.deb Size: 146586 SHA256: eb67e146a8bf93ce91952511ef043689be87d64e4795772328c2a0de1cd0c2eb SHA1: f6e80262cd088d0c1ae341197cb697da639590b9 MD5sum: 31e8c0ef247efd399022aee3fdc3cdb5 Description: IO library for the GDF (general dataformat for biosignals) GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package contains the shared library. Package: libgdf0-dbg Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3314 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbg_0.1.2-2~nd70+1+nd90+1_amd64.deb Size: 546860 SHA256: b5d1a1eb6f4a009a6880ace283d173cfaf4940aa802363aec2d37ee5860662ec SHA1: 42362f7e0895db277cf8937a605a352772691230 MD5sum: b96a634e1ff9e491073b702c2bae3632 Description: IO library for the GDF -- debug symbols GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides debug symbols. Package: libghc-network-protocol-xmpp-dev Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90 Architecture: amd64 Maintainer: Debian Haskell Group Installed-Size: 1632 Depends: libc6 (>= 2.2.5), libghc-base-dev-4.8.2.0-0d6d1, libghc-bytestring-dev-0.10.6.0-9a873, libghc-gnuidn-dev-0.2.1-55c71, libghc-gnutls-dev-0.2-e9479, libghc-gsasl-dev-0.3.6-44bf4, libghc-libxml-sax-dev-0.7.5-5c696, libghc-monads-tf-dev-0.1.0.2-6cb91, libghc-network-dev-2.6.2.1-25f4f, libghc-text-dev-1.2.1.3-50bb4, libghc-transformers-dev-0.4.2.0-81450, libghc-xml-types-dev-0.3.6-f0364 Suggests: libghc-network-protocol-xmpp-doc, libghc-network-protocol-xmpp-prof Provides: libghc-network-protocol-xmpp-dev-0.4.8-ba1a4 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_amd64.deb Size: 176130 SHA256: c7db90999c311fde2a488ca4a4c1f883e5164ff3691b638185ae10b72f89ce9f SHA1: e3b81099e5f554410a4754470a3e4765d8c1760b MD5sum: ed0c10db467b967d067f3be344143fdf 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. 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See http://www.haskell.org/ for more information on Haskell. 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This package provides a library for the Haskell programming language, compiled for profiling. See http://www.haskell.org/ for more information on Haskell. Package: libghc-optparse-applicative-dev Source: haskell-optparse-applicative Version: 0.13.2.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2894 Depends: neurodebian-popularity-contest, libghc-ansi-wl-pprint-dev-0.6.7.3-3ff31, libghc-base-dev-4.9.0.0-5e731, libghc-process-dev-1.4.2.0-e39cb, libghc-transformers-dev-0.5.2.0-3446d, libghc-transformers-compat-dev-0.5.1.4-518aa, libc6 (>= 2.2.5), libgmp10 Suggests: libghc-optparse-applicative-doc, libghc-optparse-applicative-prof Provides: libghc-optparse-applicative-dev-0.13.2.0-dae4a Homepage: https://github.com/pcapriotti/optparse-applicative Priority: extra Section: haskell Filename: pool/main/h/haskell-optparse-applicative/libghc-optparse-applicative-dev_0.13.2.0-1~nd90+1_amd64.deb Size: 276874 SHA256: b0c444c752a9bd70116af13d3209e334bb7b76eba98e518609a56e9d82d9b3ae SHA1: 067c64d5e6703d06caad19d0dd44fc418edab11a MD5sum: eb23c902bef6f9c0f761a136c64f45eb Description: utilities and combinators for parsing command-line options This is a library for constructing command-line option parsers in the applicative style. . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Ghc-Package: optparse-applicative-0.13.2.0-7z3qkGt2F0x67Ak41MNRgb Package: libghc-optparse-applicative-doc Source: haskell-optparse-applicative Version: 0.13.2.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1432 Depends: neurodebian-popularity-contest, haddock-interface-28 Recommends: ghc-doc, libghc-ansi-wl-pprint-doc, libjs-mathjax Homepage: https://github.com/pcapriotti/optparse-applicative Priority: extra Section: doc Filename: pool/main/h/haskell-optparse-applicative/libghc-optparse-applicative-doc_0.13.2.0-1~nd90+1_all.deb Size: 111584 SHA256: 50edb1bc2b06e460549a1b5b39a60cd403360dc631f40285adae300ec116195f SHA1: 2301fbf9d5d51814e961324effd5273fd1c8ac29 MD5sum: cb0dbf77b25ffccd981da02206d127d0 Description: utilities and combinators for parsing command-line options; documentation This is a library for constructing command-line option parsers in the applicative style. . 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-optparse-applicative-prof Source: haskell-optparse-applicative Version: 0.13.2.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2698 Depends: neurodebian-popularity-contest, libghc-optparse-applicative-dev (= 0.13.2.0-1~nd90+1), libghc-ansi-wl-pprint-prof-0.6.7.3-3ff31, libghc-base-prof-4.9.0.0-5e731, libghc-process-prof-1.4.2.0-e39cb, libghc-transformers-prof-0.5.2.0-3446d, libghc-transformers-compat-prof-0.5.1.4-518aa Provides: libghc-optparse-applicative-prof-0.13.2.0-dae4a Homepage: https://github.com/pcapriotti/optparse-applicative Priority: extra Section: haskell Filename: pool/main/h/haskell-optparse-applicative/libghc-optparse-applicative-prof_0.13.2.0-1~nd90+1_amd64.deb Size: 274746 SHA256: 9d3498d35d45608dad9715d2e03fadc939731a317252d41205d1f3ec2d8de8c7 SHA1: d7dbf7bf90b0c46537930413732f26008ef3cea3 MD5sum: 4822c068e32c7e8a05116a7aeab38265 Description: utilities and combinators for parsing command-line options; profiling libraries This is a library for constructing command-line option parsers in the applicative style. . 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 241 Depends: neurodebian-popularity-contest, libgiftiio0 (= 1.0.9-2~nd90+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~nd90+1_amd64.deb Size: 47912 SHA256: 0e15fcc4732da1f48a6c8af71c8e6b332c74251843df41ccd329eaf94bf052c1 SHA1: 49fe434e4e13bd87180a41ef3bef897a1af3e586 MD5sum: 931a3a950ec8897bb8853f50725f9561 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 159 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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~nd90+1_amd64.deb Size: 45228 SHA256: f665a5f972b8d4651fd09d258532233c6696fa54823df5e02c51dabaa2d09a6e SHA1: 4ed1102aeff85395a6806571060b78e743b4a75f MD5sum: 8a3fa3b542fb7fe14d1c70af85564aa1 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: libgiftiio0-dbgsym Source: gifticlib Version: 1.0.9-2~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: libgiftiio0 (= 1.0.9-2~nd90+1) Homepage: http://www.nitrc.org/projects/gifti Priority: extra Section: debug Filename: pool/main/g/gifticlib/libgiftiio0-dbgsym_1.0.9-2~nd90+1_amd64.deb Size: 5230 SHA256: bbd2268486cd3b2c75642546c0cd518832ff366257bdf92cf579f74d518610f1 SHA1: c1a9bf75419349e20977ef8d162c77238f3e0040 MD5sum: 36623ea5b60c903cf2c4d23e56dcc4ad Description: Debug symbols for libgiftiio0 Build-Ids: ba8eec3f647b659069e6cb688bb595414d202e46 Package: libglew1.9 Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 631 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 Suggests: glew-utils Conflicts: libglew1 Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libs Filename: pool/main/g/glew/libglew1.9_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 128732 SHA256: d70dab5a5908493247517295ef8f0703a5824a858c7de1d969aeff70a006710f SHA1: d57dc252510e8cc25f1a8a472fe8d7255576f635 MD5sum: 6db0eb263b7140c451be1f3eaf5d2f39 Description: OpenGL Extension Wrangler - runtime environment For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the runtime support files. Package: libglew1.9-dbg Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 160 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglew1.9-dbg_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 33520 SHA256: e37397eb8c1a9dd050c41862f7dcd0c84d5ed89c15bdceda5a8c8eee42862f48 SHA1: 5cfac2851b18a3f0d15fb1b0cd2796aef5e24533 MD5sum: 64ac0ec4362bf2fb67378ac635e7263f Description: OpenGL Extension Wrangler (debugging symbols) The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the debugging symbols for libglew1.9. Package: libglew1.9-dev Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1014 Depends: neurodebian-popularity-contest, libgl1-mesa-dev | libgl-dev, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1), libglu1-mesa-dev | libglu-dev Conflicts: libglew-dev, libglew1.6-dev Provides: libglew1.5-dev, libglew1.6-dev Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/g/glew/libglew1.9-dev_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 109622 SHA256: c41d2d7c06457ecc368000dee09d75502513b8807258520b9ed2b82b122efd16 SHA1: f7484e4f97acf28d6cf0bf73792a9b7cafbe1e99 MD5sum: e47b79dc34b11c398ddfc7721c6aa9ce Description: OpenGL Extension Wrangler - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the development documentation as well as the required header files. Package: libglewmx1.9 Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 558 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 Conflicts: libglew1 Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libs Filename: pool/main/g/glew/libglewmx1.9_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 114532 SHA256: 580f10dff7256f54fb434432120ec773d3b1a2725a9b010e8f1fce747ebdc20c SHA1: 7928aa7f7eb0fa6325d1e1b0965c97ce5e9a9d34 MD5sum: 22b5aaf286fa14f945cb3c4dc718e607 Description: OpenGL Extension Wrangler (Multiple Rendering Contexts) For more information about GLEW please refer to the description of the libglewmx-dev package. . This package contains the runtime support files, built with GLEW_MX option, adding support for thread-safe usage of multiple rendering contexts. Package: libglewmx1.9-dbg Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, libglewmx1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglewmx1.9-dbg_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 26958 SHA256: d157d134d66d7955847cdf33d3fe5f0b5f7026d06bafbc8e1a370dbe476a2cd6 SHA1: fe76e08c3813826712680c656282ef63d5d86212 MD5sum: 2d615569fa0c103e13ca363e3186d23d Description: OpenGL Extension Wrangler MX (debugging symbols) The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the debugging symbols for libglewmx1.9. Package: libglewmx1.9-dev Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, libglew1.9-dev, libglewmx1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1) Conflicts: libglewmx-dev, libglewmx1.6-dev Provides: libglewmx1.5-dev, libglewmx1.6-dev Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/g/glew/libglewmx1.9-dev_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 8488 SHA256: 8535410059de8e7d3a39018160daf6d76b3bbb72e06538c9b5fbbc9f376e71f8 SHA1: 568bd266a02ff20c69cbde21f44d5f485901e888 MD5sum: 84b285bba9038b8db83585ac1fa7b7b6 Description: OpenGL Extension Wrangler MX - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the development libraries compiled with GLEW_MX. Package: libglm-dev Source: glm Version: 0.9.9.6-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2159 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: https://glm.g-truc.net/ Priority: optional Section: libdevel Filename: pool/main/g/glm/libglm-dev_0.9.9.6-1+nd1~nd90+1_all.deb Size: 177216 SHA256: eb9ebe1c4b534ecaccc1afbbfa2c5a8653bfd81bc482c969f5290631f37cfbcf SHA1: 40885a46aee951a33b10fbe2a5db99f0e5dacc30 MD5sum: 7c670dd69f0f71029ba9125688dbd5bd Description: C++ library for OpenGL GLSL type-based mathematics OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specification. . GLM provides classes and functions designed and implemented with the same naming conventions and functionalities as GLSL, so that when a programmer knows GLSL, he knows GLM as well, which makes it really easy to use. . This project isn't limited to GLSL features. An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations, quaternions, half-based types, random numbers, et cetera. . This library works perfectly together with OpenGL but it also ensures interoperability with other third party libraries and SDKs. It is a good candidate for software rendering (such as raytracing, rasterisation), image processing, physic simulations and any context that requires a simple and convenient mathematics library. Package: libglm-doc Source: glm Version: 0.9.9.6-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12702 Depends: neurodebian-popularity-contest Recommends: libjs-jquery Multi-Arch: foreign Homepage: https://glm.g-truc.net/ Priority: optional Section: doc Filename: pool/main/g/glm/libglm-doc_0.9.9.6-1+nd1~nd90+1_all.deb Size: 502228 SHA256: 1bd17167728f498210c2e3e6748191332262040fa48ad5cda1dbc136d90c85a5 SHA1: 84c5ba6abb7a7af237f0e4517e2e12f5b1546ffe MD5sum: ffe6190782a5f5dceff2c96b84a23de0 Description: documentation for the OpenGL Mathematics (GLM) library OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specification. . This package contains the OpenGL Mathematics manual in HTML and PDF formats. Package: libguac-client-rdp0 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.6.0), libfreerdp-cache1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-client1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-codec1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-core1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-utils1.1 (>= 1.1.0~beta1+git20130629), libguac5, libogg0 (>= 1.0rc3), libvorbis0a (>= 1.1.2), libvorbisenc2 (>= 1.1.2), ghostscript Recommends: libfreerdp-plugins-standard Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-rdp0_0.8.3-1~nd80+1+nd90+1_amd64.deb Size: 28644 SHA256: 4bc9d2c2558ddb3927c0462ceefcc5139ecbdc9bc51c71c3c3ebe5e70f2b4d2d SHA1: 47106b823424cc0a15e7b1ec194ebd2352bc50ef MD5sum: 52c2b259dbd60db575b8142a684185c7 Description: RDP support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the RDP protocol (Windows Remote Desktop). Package: libguac-client-ssh0 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 74 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.2.4), libglib2.0-0 (>= 2.12.0), libguac5, libpango-1.0-0 (>= 1.22.0), libpangocairo-1.0-0 (>= 1.14.0), libssh-4 (>= 0.3.91) Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-ssh0_0.8.3-1~nd80+1+nd90+1_amd64.deb Size: 22202 SHA256: e9d9de270f235bc8f401c19baf727b32d8a9fa232b7efbf34ee5f7746acc31c0 SHA1: dd8c80261a3e983223ae888ffcbfc4832d58a79f MD5sum: 79b1a5109830d5a63111266517e3838f Description: SSH support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the SSH protocol. Package: libguac-client-vnc0 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 45 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libcairo2 (>= 1.6.0), libguac5, libpulse0 (>= 0.99.1), libvncclient1 (>= 0.9.10) Recommends: vnc4server Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-vnc0_0.8.3-1~nd80+1+nd90+1_amd64.deb Size: 10950 SHA256: 7edaa19a2b714a95ee47ac1bf4d2a885b221f47c97f17b74d84bfac0d064ece8 SHA1: 5009104c4ad311eaa2e496835ad842fdc47ca423 MD5sum: 38d3e6551ecbeeff4ff1d77ea194115d Description: VNC support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the VNC protocol. Package: libguac-dev Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 232 Depends: neurodebian-popularity-contest, libguac5 (= 0.8.3-1~nd80+1+nd90+1) Replaces: libguac1-dev Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libdevel Filename: pool/main/g/guacamole-server/libguac-dev_0.8.3-1~nd80+1+nd90+1_amd64.deb Size: 36214 SHA256: b670580d37675e82818b8a5f2b140011e9a3dcdc4b438d3573d6c1dfc443da94 SHA1: 79c1af10e5f6d89d8d64a56343db017086513ab3 MD5sum: e0ac1bc846477e9a8031d56830ee31a2 Description: Development headers for the core Guacamole library The development headers for the core Guacamole library used by guacd and all client plugins. This package is required for development of new client plugins, or for building existing plugins and guacd. Package: libguac3 Source: libguac Version: 0.6.0-2~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 54 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), libcairo2 (>= 1.2.4), libpng12-0 (>= 1.2.13-4) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac/libguac3_0.6.0-2~nd70+1+nd90+1_amd64.deb Size: 15646 SHA256: 3da543c61873766914e80b10cfaf1f81b02cd156d0e8af38603e7acb2306b42c SHA1: f0991bbf649b0d02589de156ad7f0641d37d020e MD5sum: 189143f12a1a57e7f9857f2d98040270 Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libguac5 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), libcairo2 (>= 1.2.4), libogg0 (>= 1.0rc3), libpng12-0 (>= 1.2.13-4), libvorbis0a (>= 1.1.2), libvorbisenc2 (>= 1.1.2) Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac5_0.8.3-1~nd80+1+nd90+1_amd64.deb Size: 21728 SHA256: e857b03e79d8caf85cff9912cc508a4548c6ed31fff27d311844f07a1a6b7dbd SHA1: 6398667d6bd9029628321321a653d8efab4c5c3b MD5sum: 6a74e8197a8a36cdf9893aa060052fc3 Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libinsighttoolkit4-dbg Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 42018 Depends: neurodebian-popularity-contest, libinsighttoolkit4.7 (= 4.7.0-1~nd80+1+nd90+1) Homepage: http://www.itk.org/ Priority: extra Section: debug Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dbg_4.7.0-1~nd80+1+nd90+1_amd64.deb Size: 37243952 SHA256: f87b0464e6ee6725385838b6f0428d1dc326ceb60315b3cc08b16f84c8efb522 SHA1: 42ae6dcb30b7de9b9d13bc326e514c920eff6d03 MD5sum: 845b08b2a7cff8604077b596aed4b6bd Description: Debugging information for the Insight Toolkit ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the debug files of the libraries. Package: libinsighttoolkit4-dev Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27420 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libinsighttoolkit4.7 (= 4.7.0-1~nd80+1+nd90+1), libstdc++6 (>= 4.9), libgdcm2-dev, libdcmtk2-dev, libhdf5-dev Recommends: libfftw3-dev, uuid-dev Suggests: insighttoolkit4-examples Conflicts: libinsighttoolkit-dev, libinsighttoolkit3-dev Replaces: libinsighttoolkit-dev Homepage: http://www.itk.org/ Priority: optional Section: libdevel Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dev_4.7.0-1~nd80+1+nd90+1_amd64.deb Size: 2948152 SHA256: 9b07ac47dd90635f90cbab24dc31c343be6ab2668c1a174e523e5bb55dd3a353 SHA1: 0a49b32e8777a624527efd88f84701123c90a57d MD5sum: c95dfeeee3537c321e8e3135a824dc0d Description: Image processing toolkit for registration and segmentation - development ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the development files needed to build your own ITK applications. Package: libinsighttoolkit4.7 Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 25927 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfftw3-double3, libfftw3-single3, libgcc1 (>= 1:4.1.1), libgdcm2.4, libhdf5-8, libhdf5-cpp-8 (>= 1.8.13), libjpeg62-turbo (>= 1.3.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtiff5 (>= 4.0.3), zlib1g (>= 1:1.2.3.4) Homepage: http://www.itk.org/ Priority: optional Section: libs Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4.7_4.7.0-1~nd80+1+nd90+1_amd64.deb Size: 4697678 SHA256: 1ee36547e6fd10fb9d633335e2cc76b5a9a23fd9bfcf1be5b5bc5a07233e0efb SHA1: 12dd841dfd47226c14cd758d76cc5d7acb97f201 MD5sum: d8de8f7c228fc47ad130d56cd8c8a893 Description: Image processing toolkit for registration and segmentation - runtime ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the libraries needed to run ITK applications. Package: libipmiconsole-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 518 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libipmiconsole2 (= 1.4.9-1~nd90+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_amd64.deb Size: 101842 SHA256: f796205d49eca9732b7f811899deecb885738c8edb47aceb13907b6bc37b8516 SHA1: 77f6534e67f53a19b396b1ceee881fdef2277073 MD5sum: c3201481aec89f16c3601cf9d01f96af 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 266 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmiconsole2_1.4.9-1~nd90+1_amd64.deb Size: 85782 SHA256: 93dd6878bb02f0d1b39c87cb8b0268dc9d2e2966b0c9f3e310325bc5d39be2ae SHA1: f9168d8a24745b90bd11a8787c07dc5add8b9da7 MD5sum: 2ced60e5cf807da82dca550cc4e150af 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libipmidetect0 (= 1.4.9-1~nd90+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_amd64.deb Size: 31608 SHA256: 68aabe06020641861dff35b7e62f6b3e149f61cde62a004d416c8ee635114745 SHA1: 047711a1919b4d656ea89d90b3bd27b6f8087c7a MD5sum: 53a42d36a1f17dfc9cb1408a1fb5e0c5 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 75 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmidetect0_1.4.9-1~nd90+1_amd64.deb Size: 25644 SHA256: 2aec6300bac296be554a6d2845b5a9a888a25c73780d474d38540004a59030d4 SHA1: d6d4f1a68b0fa5ed4e26815ddce1842ce3f6f340 MD5sum: 32015748b8626156314b060392728bf1 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 323 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libipmimonitoring5a (= 1.4.9-1~nd90+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_amd64.deb Size: 61602 SHA256: c6b0613ea33667882f8f324fe7053ee2d0a2cc48945a32cac032f62dabcd87f0 SHA1: 0950f607ce83d44f456108de77c58ee70107e8b5 MD5sum: c4723d5c31f480e8f8b942a04c5202ac 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5a_1.4.9-1~nd90+1_amd64.deb Size: 43398 SHA256: 19cf28a06e4ce221b7f52dd5c9f42315451c3ba22ddb0f27ada2153eaeef0f12 SHA1: 4f05b978fba1062b0aa36d745fcbad67ef1d2bc2 MD5sum: c1f260be6b5cefef16b9764520056bc4 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: libismrmrd-dev Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 67 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd90+1) Suggests: libismrmrd-doc Homepage: http://ismrmrd.github.io/ Priority: optional Section: libdevel Filename: pool/main/i/ismrmrd/libismrmrd-dev_1.3.2-1~nd90+1_amd64.deb Size: 13808 SHA256: 4b17d7a61f25fa26f3e071edb161efe859448d967cb1bfe1bc6f2b640a5a9408 SHA1: 9d9cb25f02968c6512101c77499ad38a2ebec6d6 MD5sum: bbc57e529c79b13eed2fb79795950816 Description: ISMRM Raw Data format (ISMRMRD) - development files The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the development files. Package: libismrmrd-doc Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1987 Depends: neurodebian-popularity-contest Homepage: http://ismrmrd.github.io/ Priority: optional Section: doc Filename: pool/main/i/ismrmrd/libismrmrd-doc_1.3.2-1~nd90+1_all.deb Size: 158250 SHA256: cd29ecf75ed8a2f2c6d14b83f63fe38b4d15ad1220bd2153bdfdf266921d1736 SHA1: 7e43ee7fc12a4f0468d6cd6cb359bd39131f829c MD5sum: 882d568635f9cab550288c0009160547 Description: ISMRM Raw Data format (ISMRMRD) - documentation The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the documentation. Package: libismrmrd1.3 Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 348 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libhdf5-10, libpugixml1v5 (>= 1.4), libstdc++6 (>= 5.2) Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/libismrmrd1.3_1.3.2-1~nd90+1_amd64.deb Size: 79098 SHA256: 52965db0ae394674d6e66036c1efd646de41b1d8cfc92922117e36671f16cae8 SHA1: 1d3bffa9a1ad10240c0aaa3fe12ca7b128523ce8 MD5sum: 543d48a6c8e2e4f9973850fdd0e7af01 Description: ISMRM Raw Data format (ISMRMRD) - shared library The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the shared library. Package: libmia-2.0-8 Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27742 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-serialization1.55.0, libboost-system1.55.0, libboost-test1.55.0, libc6 (>= 2.14), libdcmtk2 (>= 3.6.0), libfftw3-single3, libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1c2a (>= 2.44.0), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libitpp8, libjpeg62-turbo (>= 1.3.1), libnlopt0 (>= 2.3), libopenexr6 (>= 1.6.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtbb2, libtiff5 (>= 4.0.3), libvistaio14 (>= 1.2.14), libvtk5.8, libxml++2.6-2 (>= 2.38.0) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/m/mia/libmia-2.0-8_2.0.13-1~nd80+1+nd90+1_amd64.deb Size: 3859146 SHA256: 07d4e59f7b854e115c797054a4d1eafb4645bc25477c8867919719c92f6edced SHA1: 6ef2d3387b3c24e909e6ae993f5a2d7f93c9c3e7 MD5sum: 6186a8bb6037a8e027f3a9d6ca33af00 Description: library for 2D and 3D gray scale image processing libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. Package: libmia-2.0-8-dbg Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 68673 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/libmia-2.0-8-dbg_2.0.13-1~nd80+1+nd90+1_amd64.deb Size: 62327722 SHA256: 25adeee76411411f0a7086f9914647b77e62dba944cbf12b738962b91e735ee1 SHA1: a113b085746aba03b9d88326a1faa903ff0bd7a4 MD5sum: d480e8488d333e668d01c0e9af25e2af Description: Debug information for the MIA library libmia comprises a set of libraries and plug.ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. libmia is library for general purpouse 2D and 3D gray scale image processing. This package provides the debug information of the library. Package: libmia-2.0-dev Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1254 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd80+1+nd90+1), libxml++2.6-dev (>= 2.34.1), libitpp-dev (>= 4.2), libtbb-dev, libgsl0-dev, libboost-all-dev (>= 1.46.1), libfftw3-dev, libblas-dev Recommends: libmia-2.0-doc Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/m/mia/libmia-2.0-dev_2.0.13-1~nd80+1+nd90+1_amd64.deb Size: 177544 SHA256: 8974a1c30231c10477b7693869cf4e6728a5eb3dcfe56fbe076b6e6ed61439a7 SHA1: b625c6b25822755922f1b707eece03def0da8ea2 MD5sum: 143216100e7fc56d0edfffa325df7ab1 Description: library for 2D and 3D gray scale image processing, development files libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. This package provides the development files for the library. Package: libmia-2.0-doc Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16445 Depends: neurodebian-popularity-contest, libjs-jquery Enhances: libmia-2.0-dev Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/m/mia/libmia-2.0-doc_2.0.13-1~nd80+1+nd90+1_all.deb Size: 1145474 SHA256: 22353c91f476fe6f63f1a34963bd303a1bd030f369a334dc9ad85e91cd14fcb4 SHA1: 207ee6bcc687e9307274cf8def76f6d865690575 MD5sum: 27dbf2673981e05d840fd884459a2f2b Description: library for 2D and 3D gray scale image processing, documentation libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. This package provides the Doxygen generated API reference. Package: libmialm-dev Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 438 Depends: neurodebian-popularity-contest, libmialm3 (= 1.0.7-2~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/libm/libmialm/libmialm-dev_1.0.7-2~nd80+1+nd90+1_amd64.deb Size: 78000 SHA256: 9a88c0b1ff92d3b11c4832584318e192f1605d98ab4f6d6152bfcc41f3e63038 SHA1: ce7b37dd3bd75d370ddb81fd2a158fecae86bb91 MD5sum: 0c238ec16233c3857eb864ae40ae6207 Description: Development files for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package contains the development files - headers, shared libraries, and pkg-config files. Package: libmialm-doc Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 249 Depends: neurodebian-popularity-contest Suggests: devhelp Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/libm/libmialm/libmialm-doc_1.0.7-2~nd80+1+nd90+1_all.deb Size: 21262 SHA256: b818b86b8b03b2de2d9028afb4a6fcefc7efac47e9922d583ca24642e136f7ba SHA1: 4068ababf8509c40454974d12b1f613f93cc5a6f MD5sum: 20aa66e7a83a9b83d8626eabb1a0ca36 Description: Documentation for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package contains the library documentation. Package: libmialm3 Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 72 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libglib2.0-0 (>= 2.41.1), libxml2 (>= 2.7.4) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libm/libmialm/libmialm3_1.0.7-2~nd80+1+nd90+1_amd64.deb Size: 18478 SHA256: 82214c5754b9ab084bfb7e69cef0ab1a064160ea0e13116d3d5075d3849718e7 SHA1: aa2cd3e00016cc61eea57b5ca61583dab51ec1a3 MD5sum: 2396f9b33b2f3192d692af2e547d63c6 Description: Landmark handling for the MIA tool chain This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. Package: libmialm3-dbg Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, libmialm3 (= 1.0.7-2~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/libm/libmialm/libmialm3-dbg_1.0.7-2~nd80+1+nd90+1_amd64.deb Size: 58808 SHA256: b5e91f0a1a161ab3ab157ba0d9e5043f07a278261668dd22d1c6a714b0d78f34 SHA1: 8dd70bfed33a54b7a3ac3cbf03ac9b5c205b648c MD5sum: 3347f4a52ebcb8d061a90effbdd0ae17 Description: Debug information for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package provides the debug information of the library. Package: libnifti-dev Source: nifticlib Version: 2.0.0-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 573 Depends: neurodebian-popularity-contest, libnifti2 (= 2.0.0-2~nd80+1+nd90+1) Conflicts: libfslio-dev, libnifti0-dev, libnifti1-dev, libniftiio-dev Replaces: libnifti1-dev Homepage: http://niftilib.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/n/nifticlib/libnifti-dev_2.0.0-2~nd80+1+nd90+1_amd64.deb Size: 137908 SHA256: 647306ef1786b09d4cc2aa541b2d22046d7fd0af6a3a8aa93e7696f6c9e72f21 SHA1: 65eed10a4e74bdd7d1d8e7142804440bac4f0ec7 MD5sum: 0f92ca90ad5870ae6287a1bff098f41c Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the header files and static libraries of libniftiio, znzlib and libnifticdf. Package: libnifti-doc Source: nifticlib Version: 2.0.0-2~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1705 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://niftilib.sourceforge.net Priority: optional Section: doc Filename: pool/main/n/nifticlib/libnifti-doc_2.0.0-2~nd80+1+nd90+1_all.deb Size: 137744 SHA256: f5f624f2a3073c1676ff234d94abc713ce4c73e4a17989868035bc67d1e4d9e9 SHA1: defc10d95d0f843756f9402e05ba12d41e1546c0 MD5sum: 4dbe6f75c01b260f4534930c082b2774 Description: NIfTI library API documentation Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the library API reference documentation. Package: libnifti2 Source: nifticlib Version: 2.0.0-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 289 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), zlib1g (>= 1:1.1.4) Homepage: http://niftilib.sourceforge.net Priority: optional Section: libs Filename: pool/main/n/nifticlib/libnifti2_2.0.0-2~nd80+1+nd90+1_amd64.deb Size: 107348 SHA256: 961479658cee3fe66b2fcde2cf22310e16fde0d445c32775c7492e2822cc15c3 SHA1: 9888d853f0bc99bec28e03d5bab4138bc31f69dd MD5sum: fcc9652ba0529098e553de68b50ab39d Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package contains the shared library of the low-level IO library niftiio, low-level IO library znzlib and the nifticdf shared library that provides functions to compute cumulative distributions and their inverses. Package: libnlopt-dev Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 618 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1) Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libdevel Filename: pool/main/n/nlopt/libnlopt-dev_2.4.1+dfsg-1~nd80+1+nd90+1_amd64.deb Size: 173880 SHA256: 1d0704ba84611e1bebff6e497934682d3e12b6f8c84fb4694d6b8e2f2116cb61 SHA1: e39d4abfd8ecb3b8302a0ee0b3616deca02271fb MD5sum: 294f01be202ea8237e9b2ccb82f7d429 Description: nonlinear optimization library -- development package NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the header files, static libraries and symbolic links that developers using NLopt library will need. Package: libnlopt-guile0 Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 152 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), guile-1.8 Multi-Arch: same Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libs Filename: pool/main/n/nlopt/libnlopt-guile0_2.4.1+dfsg-1~nd80+1+nd90+1_amd64.deb Size: 37420 SHA256: 26d4cc203706d52bca4221a629f0f5f9c22d60fd9dd05a2a262431901f11b3a3 SHA1: ff00b7b1781dd326fab3882f78c1309e8fffede2 MD5sum: fd1382d42eb3b30188b44ab04ff38e63 Description: nonlinear optimization library -- Guile bindings NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the bindings for GNU Guile. Package: libnlopt0 Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 449 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Multi-Arch: same Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libs Filename: pool/main/n/nlopt/libnlopt0_2.4.1+dfsg-1~nd80+1+nd90+1_amd64.deb Size: 164904 SHA256: 2802684981a3fe8a9123dae7ab236d41eb5f36c758571483d0eb6b5f2476a83f SHA1: 1b661bd09e30adddc8c3d8fa5c5dda8dbf320868 MD5sum: dc21eb048fef1504668480a6fa703b1b Description: nonlinear optimization library NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package provides the shared libraries required to run programs compiled with NLopt. To compile your own programs you also need to install libnlopt-dev. Package: libobs-dev Source: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 559 Depends: neurodebian-popularity-contest, libobs0 (= 21.0.2+dfsg1-1~nd90+1) Homepage: https://obsproject.com Priority: optional Section: libdevel Filename: pool/main/o/obs-studio/libobs-dev_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 84956 SHA256: dcd5211de2ee723d7c491db9292d4a3df348254eec83e4660b8d652dc34e0f7d SHA1: c0044fb169534fe42e24d1e79876d76788486ec9 MD5sum: 65431ebf4e60f9d86d638bb45f331d3c Description: recorder and streamer for live video content (development files) OBS Studio is designed for efficiently recording and streaming live video content. It supports live RTP streaming to various streaming sites. . This package contains the development files. Package: libobs0 Source: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1550 Depends: neurodebian-popularity-contest, libavcodec57 (>= 7:3.2.9) | libavcodec-extra57 (>= 7:3.2.9), libavformat57 (>= 7:3.2.9), libavutil55 (>= 7:3.2.9), libc6 (>= 2.17), libdbus-1-3 (>= 1.9.14), libgcc1 (>= 1:3.0), libjansson4 (>= 2.3), libpulse0 (>= 0.99.1), libstdc++6 (>= 5.2), libswresample2 (>= 7:3.2.9), libswscale4 (>= 7:3.2.9), libx11-6, libx11-xcb1, libxcb1, zlib1g (>= 1:1.2.6) Multi-Arch: same Homepage: https://obsproject.com Priority: optional Section: libs Filename: pool/main/o/obs-studio/libobs0_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 395068 SHA256: ac3637d423d4b1842ed852734d2ebcb952761a88c744739f2f0d816622aabb1e SHA1: 845a1ed2257cb006960cd9ab4bee881099cb157a MD5sum: 69ee9ade1a186d5d2a36cc1183f1dd45 Description: recorder and streamer for live video content (shared library) OBS Studio is designed for efficiently recording and streaming live video content. It supports live RTP streaming to various streaming sites. . This package contains the shared library libobs. Package: libobs0-dbgsym Source: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2444 Depends: libobs0 (= 21.0.2+dfsg1-1~nd90+1) Multi-Arch: same Homepage: https://obsproject.com Priority: extra Section: debug Filename: pool/main/o/obs-studio/libobs0-dbgsym_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 2216706 SHA256: c16dcc6f07901690300999885791425de7bc132cbdeebd90bb4a1d41d389a375 SHA1: b02868cf1f3b620473a9c699701695b199ea4ce2 MD5sum: f65c85d9a14e76b27da6c3afe30df6de Description: Debug symbols for libobs0 Build-Ids: 6a0ade688f0d8671e4b69504c768987a68c5c3b7 a083d9d813394553d4774c29d77a93fe39c972f1 bde9b5023d20d054d16a197ca64ef5cd20c10896 c261b68775957d1ea186b7b8d0e6d539c45e3bc8 Package: libodin-dev Source: odin Version: 1.8.8-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 25678 Depends: neurodebian-popularity-contest Homepage: http://od1n.sourceforge.net Priority: extra Section: libdevel Filename: pool/main/o/odin/libodin-dev_1.8.8-1~nd80+1+nd90+1_amd64.deb Size: 2631396 SHA256: be2f9382ebdd8e81f4a48f6e7dbbb1e683c276d58d57bca5d368c7a12ac28bcc SHA1: 0e36540fd3ff01f54e6924497c81d2561590e2c2 MD5sum: 74828bb1a11f5616bb735c7db08255df Description: static libraries and header for ODIN sequences This package provides static libraries and headers of the ODIN libraries odindata, adinpara, odinqt, odinseq and tjutils. They are required for building magnetic resonance imaging (MRI) sequences with ODIN. Package: libopenwalnut1 Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7003 Depends: neurodebian-popularity-contest, fonts-liberation (>= 1.0.0), libboost-date-time1.55.0, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libopenscenegraph100, libstdc++6 (>= 4.9) Suggests: nvidia-glx | fglrx-glx Homepage: http://www.openwalnut.org Priority: extra Section: libs Filename: pool/main/o/openwalnut/libopenwalnut1_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_amd64.deb Size: 1313540 SHA256: ef03128ddbd5c274fd24139ba8a1062e461a2f776341172badaf70c55574922a SHA1: fe0a584c6ac592560bd2dffce3b9cd56046c0bd9 MD5sum: 10a4fea50d576c1435f822918878784e Description: Framework for multi-modal medical and brain data visualization OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API of OpenWalnut. Package: libopenwalnut1-dev Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2144 Depends: neurodebian-popularity-contest, libopenwalnut1 (= 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1), libgl1-mesa-dev | libgl-dev, libopenscenegraph-dev (>= 3.0.0), libopenthreads-dev (>= 3.0.0), libboost-dev (>= 1.46.0), libboost-program-options-dev (>= 1.46.0), libboost-thread-dev (>= 1.46.0), libboost-filesystem-dev (>= 1.46.0), libboost-date-time-dev (>= 1.46.0), libboost-system-dev (>= 1.46.0), libboost-signals-dev (>= 1.46.0), libboost-regex-dev (>= 1.46.0), libeigen3-dev (>= 3.0.0) Homepage: http://www.openwalnut.org Priority: extra Section: libdevel Filename: pool/main/o/openwalnut/libopenwalnut1-dev_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_amd64.deb Size: 248428 SHA256: 1b06e3625c1279ff610cb1703578add95f50c96eee4a534380a03813cf9e5bf3 SHA1: 0776cf997025e54a1436d705c96ecec87f2231d7 MD5sum: ce0cb4ab3d26cceffa411f3fcbd8f7f9 Description: Development files for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the headers for the core API of OpenWalnut. Package: libopenwalnut1-doc Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49240 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://www.openwalnut.org Priority: extra Section: doc Filename: pool/main/o/openwalnut/libopenwalnut1-doc_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_all.deb Size: 2681858 SHA256: c83b9176f3ff3cfa9e83ee97caabd28ecede43bf5ffa8dbfe9ce9b72977bcf9e SHA1: 2bc64d4f70f52d587d898216e09ae1457a527dc1 MD5sum: b2239dfc83b9656f9ba915d4fcf8284e Description: Developer documentation for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API documentation of OpenWalnut. Package: libpam-cgroup Source: libcgroup Version: 0.37.1-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 22 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libcgroup1, libpam0g (>= 0.99.7.1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: admin Filename: pool/main/libc/libcgroup/libpam-cgroup_0.37.1-1~nd70+1+nd90+1_amd64.deb Size: 7232 SHA256: 24f3fcdcf9e0fbfeed93663b9725d910ef2c113a07bf74daf3906962c393f238 SHA1: 1cfbfeda3fad371ecadfbcfecfcfb83b58acd299 MD5sum: 800ab4872eefdbc98a1b0f096b54a08b Description: PAM module to move a user session into a cgroup Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . This PAM module will move a user session into an existing cgroup by attempting to match uid and gid against the defined cgroup rules configuration. Package: libqt5pas-dev Source: libqtpas Version: 2.6~beta-6~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1371 Depends: neurodebian-popularity-contest, libqt5pas1 (= 2.6~beta-6~nd90+1) Suggests: fpc Multi-Arch: same Homepage: http://users.telenet.be/Jan.Van.hijfte/qtforfpc/fpcqt4.html Priority: optional Section: libdevel Filename: pool/main/libq/libqtpas/libqt5pas-dev_2.6~beta-6~nd90+1_amd64.deb Size: 142276 SHA256: b60f1df98ecc477c9a0c158632b60f37f89d01a768dbf7d7192e35cab33753a0 SHA1: 4c1c80a1ebf97df8a0671e20f6f79e01bbe5eba7 MD5sum: 01e11ea5d4b1732f3c0201fa12f1a7bc Description: Development files for Qt5Pas Provides interface for Pascal applications to the Qt5 C++ libraries. This binding does not cover the whole Qt5 framework, it just contains all classes needed to use Qt as a widgetset. . This package contains files needed to develop Qt5 based applications with Pascal. Package: libqt5pas1 Source: libqtpas Version: 2.6~beta-6~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2886 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.5.0), libqt5network5 (>= 5.0.2), libqt5printsupport5 (>= 5.3.0), libqt5widgets5 (>= 5.3.0), libqt5x11extras5 (>= 5.6.0), libstdc++6 (>= 5) Multi-Arch: same Homepage: http://users.telenet.be/Jan.Van.hijfte/qtforfpc/fpcqt4.html Priority: optional Section: libs Filename: pool/main/libq/libqtpas/libqt5pas1_2.6~beta-6~nd90+1_amd64.deb Size: 473672 SHA256: 77b38b7979397aa63b7b6b77c6f4643a62f27815ff698e7b2b377121e1585989 SHA1: 1ea7f5395dcae8919cb291eba58e4ec58f8720c6 MD5sum: 999432f37d9df2f9070cfe1e5e313ec4 Description: Qt5 interface bindings for Pascal Provides interface for Pascal applications to the Qt5 C++ libraries. This binding does not cover the whole Qt5 framework, it just contains all classes needed to use Qt as a widgetset. Package: libqt5pas1-dbgsym Source: libqtpas Version: 2.6~beta-6~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 37403 Depends: libqt5pas1 (= 2.6~beta-6~nd90+1) Multi-Arch: same Homepage: http://users.telenet.be/Jan.Van.hijfte/qtforfpc/fpcqt4.html Priority: extra Section: debug Filename: pool/main/libq/libqtpas/libqt5pas1-dbgsym_2.6~beta-6~nd90+1_amd64.deb Size: 36970736 SHA256: c8ab97072a234f617334d67ee1e1672c58dd8da27c8244f63bb518a38f9689e8 SHA1: ea961f1236a7776ad94635cd86f39cea69edb724 MD5sum: ba08f7c4d9a9b9ce6cc783dc9f0addad Description: Debug symbols for libqt5pas1 Build-Ids: 966e020c704289272657c671c1ebeefbc7a7b43b Package: librtfilter-dev Source: rtfilter Version: 1.1-4~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd70+1+nd90+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libdevel Filename: pool/main/r/rtfilter/librtfilter-dev_1.1-4~nd70+1+nd90+1_amd64.deb Size: 12064 SHA256: b58067d474dd7379ab6cf5a5dac855bfa71ef4d5557887d57b49e766eecdbf67 SHA1: aef172a9a441bbe36980578c4f993747db40ba3d MD5sum: 5d52bc17d100a42fb84640254b3e98de Description: realtime digital filtering library (development files) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package contains the files needed to compile and link programs which use rtfilter. Package: librtfilter1 Source: rtfilter Version: 1.1-4~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libs Filename: pool/main/r/rtfilter/librtfilter1_1.1-4~nd70+1+nd90+1_amd64.deb Size: 31186 SHA256: a299e3c2abfff4c38615e14945f8f9a4e63917f3e8ba7e5d141981b47dc5d065 SHA1: 8ae53a8b385d9c74ecb03b2d50a6aed439af3667 MD5sum: 658921be9b8a63113d888ff0b113a394 Description: realtime digital filtering library rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). Package: librtfilter1-dbg Source: rtfilter Version: 1.1-4~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd70+1+nd90+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: debug Filename: pool/main/r/rtfilter/librtfilter1-dbg_1.1-4~nd70+1+nd90+1_amd64.deb Size: 38670 SHA256: aa56a9afc4e365fed280150cb407eebd0194404ac82be3d88e24694157378609 SHA1: c434c771e5062b24b375b879736aa53bda18337a MD5sum: c5a24a6ac43cc6dac06485921052f193 Description: realtime digital filtering library (debugging symbols) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package provides the debugging symbols of the library. Package: libvistaio-dev Source: libvistaio Version: 1.2.16-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 218 Depends: neurodebian-popularity-contest, libvistaio14 (= 1.2.16-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/libv/libvistaio/libvistaio-dev_1.2.16-1~nd80+1+nd90+1_amd64.deb Size: 108330 SHA256: 7dde97f1166d8613d549cfe74f4971b455862c4340bea8e1a5194cc92c02dbd1 SHA1: 6616f8220ab0c197b1ffaecf833d7a6e26b847a1 MD5sum: cfccea4d4b09b1c68f9f2e46cf185506 Description: Development files for the libvistaio library Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. This is the development package containing the header files, and pkg-config script, and man pages. Package: libvistaio14 Source: libvistaio Version: 1.2.16-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libv/libvistaio/libvistaio14_1.2.16-1~nd80+1+nd90+1_amd64.deb Size: 37832 SHA256: 23f9ccf9fb38b08efe6ee29ff1ecbdf6b1bf7b518fdfb3b7ba741022100f7721 SHA1: b62f7aa8323c24c3ca80e8b80b57ec780e9bca50 MD5sum: 87b48bb8e32db07bf51058587af91fec Description: Library for loading and storing various types of binary data Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. Package: libvistaio14-dbg Source: libvistaio Version: 1.2.16-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 101 Depends: neurodebian-popularity-contest, libvistaio14 (= 1.2.16-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/libv/libvistaio/libvistaio14-dbg_1.2.16-1~nd80+1+nd90+1_amd64.deb Size: 77730 SHA256: 8d19bb84b980262c3fe481aa9f6e757c72fd1b4ad877a46c33745f6f1a65eb1e SHA1: e4477be25cf2f556dad59dbbd004b436fda52091 MD5sum: 6c00f20eb83d60f5fed3ac927285b78e Description: Debug information for the libvistaio library Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. This is package containing the debug information. Package: libvrpn-dev Source: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd70+1+nd90+1), libvrpnserver0 (= 07.30+dfsg-1~nd70+1+nd90+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libdevel Filename: pool/main/v/vrpn/libvrpn-dev_07.30+dfsg-1~nd70+1+nd90+1_amd64.deb Size: 185236 SHA256: bd659e4132962846039dd588fdfa6b3263525d0bb0114817736b7d4cbfad85b1 SHA1: 496de2b6d7d4eb31bbbc881eec0fafa2fc131361 MD5sum: 4840e8a20b79901a7c41c216299e22cf Description: Virtual Reality Peripheral Network (development files) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the development files Package: libvrpn0 Source: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 569 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libs Filename: pool/main/v/vrpn/libvrpn0_07.30+dfsg-1~nd70+1+nd90+1_amd64.deb Size: 186876 SHA256: 34e4ebfda14a40482ce95dfd427ccaf00f698828e2442a97606318ea4a3e41f0 SHA1: 733e663c9dbcc7c0f9140e98792abcd4418350b0 MD5sum: 1684d35d6eb174431d4957ac6f0f353a Description: Virtual Reality Peripheral Network (client library) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the client shared library Package: libvrpnserver0 Source: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1342 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libs Filename: pool/main/v/vrpn/libvrpnserver0_07.30+dfsg-1~nd70+1+nd90+1_amd64.deb Size: 372600 SHA256: bc359d50d8cf893d5b056998a90e6198975cdc25c3acfbfbe554dc4f0175e254 SHA1: 626e13b58e1ad31cfb1ca675adb0e32fde3c516b MD5sum: eeb394f1542c2d4d61ebda493789414f Description: Virtual Reality Peripheral Network (server library) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the shared library use in the VRPN server Package: libvtk-dicom-java Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 276 Depends: neurodebian-popularity-contest, libvtk-java, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvtk-dicom0.5, libvtk5.8 Suggests: java-virtual-machine Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: java Filename: pool/main/v/vtk-dicom/libvtk-dicom-java_0.5.5-2~nd90+1_amd64.deb Size: 74106 SHA256: 8fd5fb842908ca6cbff0c349ce274bcaac408c4efbf15850da5334fb54a26461 SHA1: e100dedc83c8955e9f7e4e91f594e170b3feaff7 MD5sum: f2438315c9a0f24b81bba93deb548a3f Description: DICOM for VTK - java This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Java 1.5 bindings Package: libvtk-dicom0.5 Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1876 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgdcm2.4, libstdc++6 (>= 4.9), libvtk5.8, zlib1g (>= 1:1.2.3.4) Multi-Arch: same Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: libs Filename: pool/main/v/vtk-dicom/libvtk-dicom0.5_0.5.5-2~nd90+1_amd64.deb Size: 456220 SHA256: d6089ca4e0ad198d50e0dd54e2404c0fb0927c5609ce9df64532348ffc05df4f SHA1: 81c627becb7f9aae08bcdbd70680e17dc014a3bb MD5sum: fb7d2373dc4915b59a23505a45836fc9 Description: DICOM for VTK - lib This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Libraries for runtime applications Package: libvtk-dicom0.5-dev Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 564 Depends: neurodebian-popularity-contest, libvtk-dicom0.5 (= 0.5.5-2~nd90+1) Conflicts: libvtk-dicom0.4-dev Replaces: libvtk-dicom0.4-dev Provides: libvtk-dicom-dev Multi-Arch: same Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: libdevel Filename: pool/main/v/vtk-dicom/libvtk-dicom0.5-dev_0.5.5-2~nd90+1_amd64.deb Size: 80876 SHA256: 68f6d8b613e705fd3b68200ea6945a950935f0f04b1186606f4de36dbfccf3fd SHA1: b36dbed330d204797b9cdbc91b1cf5a0cf84c954 MD5sum: a58040c1dc0eb6c60828ba11cf111322 Description: DICOM for VTK - dev This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Development headers Package: libvw-dev Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14727 Depends: neurodebian-popularity-contest, libvw0 (= 8.6.1.dfsg1-1~nd90+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: libdevel Filename: pool/main/v/vowpal-wabbit/libvw-dev_8.6.1.dfsg1-1~nd90+1_amd64.deb Size: 1389066 SHA256: 2e9491c3f75e9e1c0ec5b0006c60c07c94c07233f524317b794c2c7afd6215b4 SHA1: be74f796f03bc61645aba993d3a4f149f2530448 MD5sum: e4a2e92067c1d713039e263b7c2141f1 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3033 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~nd90+1_amd64.deb Size: 813560 SHA256: 1de98469c8100da3a29049aef363c0c78164301311d7283f625ff1812cdb1ee2 SHA1: f1e38bceeda83e5670d8be938ad3f62c5f1090df MD5sum: 8c0ed4462b0fa83ed851301144006571 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: libxdffileio-dev Source: xdffileio Version: 0.3-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 55 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd70+1+nd90+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libdevel Filename: pool/main/x/xdffileio/libxdffileio-dev_0.3-1~nd70+1+nd90+1_amd64.deb Size: 27252 SHA256: d95f60ca7e3a24424000e1936c520439ee334f98c57761f4b94e2b326c71d445 SHA1: 5d0a79abbd8692cb6120d2be8a68cc8dd813f0b9 MD5sum: 3bb32c1d1914d34e575ec1541a96cffc Description: Library to read/write EEG data file formats (development files) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package contains the files needed to compile and link programs which use xdffileio. Package: libxdffileio0 Source: xdffileio Version: 0.3-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 106 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libs Filename: pool/main/x/xdffileio/libxdffileio0_0.3-1~nd70+1+nd90+1_amd64.deb Size: 39382 SHA256: 18e4e6acc800cd8a10f929f23a57301fd89c501202a312eafc0791ed17d0f5fb SHA1: efff3c014a808163de8aa857fe6d0dce996c4cea MD5sum: 017752b86258cec5bed16e523f30ec48 Description: Library to read/write EEG data file formats xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead of the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. Package: libxdffileio0-dbg Source: xdffileio Version: 0.3-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd70+1+nd90+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: debug Filename: pool/main/x/xdffileio/libxdffileio0-dbg_0.3-1~nd70+1+nd90+1_amd64.deb Size: 76392 SHA256: 769a0f3e6df6fe97c96e65ffecaeccc1eb67f8d763118d39c50bc0c23b53b320 SHA1: 0f54d83a2d852fbb13bf9fe09d96249bd41821b0 MD5sum: a7684d361aaeb30ef2eba125202cf0bb Description: Library to read/write EEG data file formats (debugging symbols) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package provides the debugging symbols of the library. Package: lua-cnrun Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 125 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_amd64.deb Size: 42036 SHA256: a2cd78b411c44ce6460bededa45ca37878487e56cc98afb0e27c6d87c6ef8866 SHA1: 66cd23d1b5202873123bbe4e719076b20bdaa559 MD5sum: 8c3cfd50491abc8fb6d9bc75826c35f6 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: lua-cnrun-dbgsym Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 300 Depends: lua-cnrun (= 2.1.0-1~nd90+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/lua-cnrun-dbgsym_2.1.0-1~nd90+1_amd64.deb Size: 274710 SHA256: cad492fba0839b7ca0467958be96424fd1a8ca4f053f0f0cfe3c4984d190ce71 SHA1: 704b06a9b123ca1bead1b5b35acf51247c7480df MD5sum: da0446c9978450656619b9c151c2de54 Description: Debug symbols for lua-cnrun Auto-Built-Package: debug-symbols Build-Ids: 9ebdda23826e0965364a9cc62f7bb9207dbc0762 Package: matlab-support-dev Source: matlab-support Version: 0.0.21~nd90+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_all.deb Size: 7514 SHA256: 70e460df62d8e62f429592dd9223cbc009adf3f0409340eb0345a1a3c730b037 SHA1: 1d4018d1abd28a97c88b67824194116e817c516b MD5sum: fd6d59f8278c996b8a4f2f245113ea76 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: mia-tools Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8758 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd80+1+nd90+1), libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-serialization1.55.0, libboost-system1.55.0, libboost-test1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libglibmm-2.4-1c2a (>= 2.44.0), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libjpeg62-turbo (>= 1.3.1), libnlopt0 (>= 2.3), libopenexr6 (>= 1.6.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtbb2, libtiff5 (>= 4.0.3), libvistaio14 (>= 1.2.14), libvtk5.8, libxml++2.6-2 (>= 2.38.0) Recommends: mia-doc Homepage: http://mia.sourceforge.net Priority: optional Section: science Filename: pool/main/m/mia/mia-tools_2.0.13-1~nd80+1+nd90+1_amd64.deb Size: 1468616 SHA256: 18deb8bea66604e7b1e97cbb21facf45148d479521156798fd98775beec1a1c5 SHA1: 40a2d7d13f9888011c194021dac30c7d16556b9b MD5sum: ae520bc4e5d0c2163290ffc990475656 Description: Command line tools for gray scale image processing Command lines tools to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statiistics over images. Package: mia-tools-dbg Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 29400 Depends: neurodebian-popularity-contest, mia-tools (= 2.0.13-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/mia-tools-dbg_2.0.13-1~nd80+1+nd90+1_amd64.deb Size: 27005758 SHA256: 09872e516431a8e170c51ccc0b41f291e38ab31a5c26ce02fbd3eb566064019f SHA1: 902d234db10ed0ee375e8920c7c74c549b4766b9 MD5sum: 226597b297ae61e85897e5dd46c98bf4 Description: Debugging information for the MIA command line tools Debug information for the MIA command lines tools. These tools provide the means to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes from the command line. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statiistics over images. Package: mia-tools-doc Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1227 Depends: neurodebian-popularity-contest Enhances: mia-tools Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/m/mia/mia-tools-doc_2.0.13-1~nd80+1+nd90+1_all.deb Size: 78588 SHA256: b2e28ac06616de16419dca9ffe55d4cd31ce25627201cb084f64f13bdbfd9ccd SHA1: eabc90ca30982d35ac6e45697cd8f2670cdcbfd9 MD5sum: 39002ffe1546edf4a27c57fa26bf9c66 Description: Cross-referenced documentation of the MIA command line tools Cross referenced documentation of the command line tools and plug-ins that are provided by the MIA gray scale image processing tool chain. These lines tools to provide the means to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes interactively from the command line. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statistics over images. Package: mialmpick Version: 0.2.10-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 203 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1-mesa-glx | libgl1, libglade2-0 (>= 1:2.6.4-2~), libglib2.0-0 (>= 2.41.1), libglu1-mesa | libglu1, libgnomeui-0 (>= 2.22.0), libgtk2.0-0 (>= 2.20.0), libgtkglext1, libmialm3 (>= 1.0.7), libpng12-0 (>= 1.2.13-4), libpopt0 (>= 1.14), libvistaio14 (>= 1.2.14), libx11-6 Homepage: http://mia.sourceforge.net Priority: optional Section: science Filename: pool/main/m/mialmpick/mialmpick_0.2.10-1~nd80+1+nd90+1_amd64.deb Size: 69850 SHA256: 0f15b6e1e5bc550f061d295c47c6263e9c29d79281736349068731dbc3f782bc SHA1: a00f8ca62998177318ad1b4caf3bb063c64c4291 MD5sum: 3b781917446258d7f297bdb47857d031 Description: Tools for landmark picking in 3D volume data sets This tool provides a simple 3D renderer that can visualize surfaces directly from 3D volumes and can be used to set 3D landmarks. It is best suited for CT data sets. Package: mialmpick-dbg Source: mialmpick Version: 0.2.10-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 203 Depends: neurodebian-popularity-contest, mialmpick (= 0.2.10-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mialmpick/mialmpick-dbg_0.2.10-1~nd80+1+nd90+1_amd64.deb Size: 164496 SHA256: a67113fc014c1b4df90e2dcffa80932a90f71df763ed37a62c951a8add977dfc SHA1: 479facaf2e0ad1bf4347c6637fa31fdfbc56e730 MD5sum: 9a469c2648bff88f76aa2d4b3fc34b73 Description: Debug information landmark picking tool mialmpick This tool provides a simple 3D renderer that can visualize surfaces directly from 3D volumes and can be used to set 3D landmarks. It is best suited for CT data sets. This package provides the debug information. Package: mitools Source: odin Version: 1.8.8-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 8264 Depends: neurodebian-popularity-contest, libblitz0ldbl, libc6 (>= 2.14), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), liblapack3 | liblapack.so.3, libnifti2, libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.6.1), libqwt5-qt4, libstdc++6 (>= 4.9), libvtk5.8, zlib1g (>= 1:1.1.4), dcmtk Recommends: grace Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/mitools_1.8.8-1~nd80+1+nd90+1_amd64.deb Size: 2035308 SHA256: f08d52600a9d8c091d7b28f8e2f05895383d57913e1cd05a329c328c9d6b537c SHA1: c01f32713f4cc0afc1d4925d276250149ac2ad5b MD5sum: 7cedebabb868891a9503c4a500d33f72 Description: view, convert and perform basic maths with medical image datasets The three contained tools micalc, miconv and miview are handy command-line utilities for converting, manipulating and viewing medical image data in various formats (DICOM, NIfTI, PNG, binary data, ...). Package: mriconvert Version: 1:2.0.8-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5740 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), libwxbase3.0-0 (>= 3.0.2), libwxgtk3.0-0 (>= 3.0.2) Homepage: http://lcni.uoregon.edu/~jolinda/MRIConvert/ Priority: optional Section: science Filename: pool/main/m/mriconvert/mriconvert_2.0.8-1~nd90+1_amd64.deb Size: 847486 SHA256: c78eb31f472c6c640e723b7fdab1d4ae5db34a39e64f0bac63160f18c87c8008 SHA1: aa2ca5eb05a3b51d08f49d18b6dee0ef9333ae9b MD5sum: f9776df1380f82f1d14bda720b131346 Description: medical image file conversion utility MRIConvert is a medical image file conversion utility that converts DICOM files to NIfTI 1.1, Analyze 7.5, SPM99/Analyze, BrainVoyager, and MetaImage volume formats. Package: mricron Version: 0.20140804.1~dfsg.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 16493 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.2.5), libcairo2 (>= 1.2.4), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.24.0), libpango-1.0-0 (>= 1.14.0), libx11-6, mricron-data Recommends: pigz Suggests: mricron-doc, fsl Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron_0.20140804.1~dfsg.1-1~nd80+1+nd90+1_amd64.deb Size: 2247616 SHA256: b30c3a09d9fbb869cb520539c8220905864d7580d6338068c233230ffa4b93c0 SHA1: ef5966a89c5e94c0b2433d4f404f236ed0fd4fa4 MD5sum: b8a640525c643cac136aa60277ae8a4f Description: magnetic resonance image conversion, viewing and analysis This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . In addition to 'mricron', this package also provides 'dcm2nii' that supports converting DICOM and PAR/REC images into the NIfTI format, and 'npm' for non-parametric data analysis. Package: mricron-data Source: mricron Version: 0.20140804.1~dfsg.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1696 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron-data_0.20140804.1~dfsg.1-1~nd80+1+nd90+1_all.deb Size: 1661008 SHA256: c72c5a52aa36f95b969d40b6696b3fd6825e56f2b4c747c8c7583fee75f818a3 SHA1: f7adfccd1977f34cb146ba91f62f47348c91d8ce MD5sum: ac38c72fa2c712209849a6c07d7e7997 Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides data files for MRIcron, such as brain atlases, anatomy, and color schemes. Package: mricron-doc Source: mricron Version: 0.20140804.1~dfsg.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1024 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: doc Filename: pool/main/m/mricron/mricron-doc_0.20140804.1~dfsg.1-1~nd80+1+nd90+1_all.deb Size: 579888 SHA256: eed56b4447c212858640a3e24d776b3404f9d3b81d732faa0dcbeab494a9e1f7 SHA1: ad06900073ad2fff7af240ab1c812298c638efc1 MD5sum: 4b028808fdef22505256fe03fbb307ac Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides documentation for MRIcron in HTML format. Package: mridefacer Version: 0.2-1~nd90+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_all.deb Size: 637220 SHA256: 0d5addda07d70430be617c8b61491f817ad1c7e8c3189743681bc15cdc0adac2 SHA1: c8108080ee235aac28d8afbd4159f6ec321734b1 MD5sum: 20bc4e3c97f38a244f261a54478fa483 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9573 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libatkmm-1.6-1v5 (>= 2.24.0), libc6 (>= 2.14), libcairo2 (>= 1.2.4), libcairomm-1.0-1v5 (>= 1.12.0), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.16.0), libglibmm-2.4-1v5 (>= 2.50.0), libglu1-mesa | libglu1, libgsl2, libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1v5 (>= 1:2.24.0), libice6 (>= 1:1.0.0), libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libpangoft2-1.0-0 (>= 1.14.0), libpangomm-1.4-1v5 (>= 2.40.0), libpangox-1.0-0 (>= 0.0.2), libsigc++-2.0-0v5 (>= 2.2.0), libsm6, libstdc++6 (>= 5.2), libx11-6, libxmu6, libxt6, 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~nd90+1_amd64.deb Size: 1347734 SHA256: dc6aa5e1323018783d2d0c88181dd944a9df089f68535b9fdbdddd507bc7ccd1 SHA1: e1c6624111546b1997cdc8ce98ecd2e594b142ea MD5sum: d56b9ac0dead36a60461514d988d959e 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-dbgsym Source: mrtrix Version: 0.2.13-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15384 Depends: mrtrix (= 0.2.13-1~nd90+1) Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: debug Filename: pool/main/m/mrtrix/mrtrix-dbgsym_0.2.13-1~nd90+1_amd64.deb Size: 11733704 SHA256: 0f4cd68666ec79ca317fd070c30b1581ab9ceaa62ce767005b5da7ecab8f58ea SHA1: 98c1189e8032ebf369dbc034a7319b58a380e537 MD5sum: 4ce31c72f5bedd091bb9e03bea309beb Description: Debug symbols for mrtrix Build-Ids: 0494a07df98e51cda20b15b85b6e820cd99ae27c 0bff080e7f877c9fdc9e747671dc25e20f7b2c9e 10a4fd31177ed2b354a4dd3439bbe61ee6d207d6 149f570bfdc94a99582a1e1c21a8e9c44d84d510 1590fdb50180a96a9951ab364e8a40548ac12891 166bce83bac38209f66f3fdb6116ffe6aafe8e04 1a3b279c5b249c3ca46ff8b941df4fab8cb2ff7c 1a3ec61b861df40b66518978266d96899a6c7545 1e3bcc2d1ccc703293ec1855903a008d695d8deb 22ecd3c43226f70c3b4d1870e2cb4aa6d6aac1d3 25deb9482c9caea0b0b414a1897eefa01fdc6bad 2bfd580d65ee1950d9cdbaf4673bc5316add3d12 4532756c63ff3424eaab50ff25655dd96683b8ee 57089c237c30ba6e0c0ea7f70cf1ba3f40eb7909 5c55d1caf0fc8d3461de1dfae286d5a67ce7ada2 5f27876c8671f3bec90521f06582affb0a123c5b 5fa7a726b2e47a76a21d5fa7c156ba0a683de17c 6907251022c514b783ae078ea62dee102ed87d5f 6d7511ace789247578f1534ae5a307f7c7214f9e 6ed020d6a2f7c6531b16281d850c4e8bb89e5a09 716b7ea80e36c3ec676ccda5ba2ca20824db57bf 7186d55d7b7d3619331676b650fd6c124a0bd5a0 8346e76be2592bb7afbd4ddabd05caa989c7af11 92ef0e398d0f684de0af28636b97c1fa5db26b83 94b5a5958511957c81b6787fc15d5a9f6eb5baf7 a28b25ab57ed716062ce538c2101602c4eab9672 a4975fe472aac3988b81d4e8283998cd060bf07a a963c8fa5c92d6c309be915204d1ebf3af6b877e afd9ab29d64a48feed26651ccbde0e9805b467b7 b05817b90636f6703dcee3ca61bf56c32f0560f8 b4a87bf83031cf44d41d6936accfd528a7b04e68 b7ead0989516b393ae0dcd7b1b52d7887c58237b b93b97b3066a4c33f4b57621c12f01f0f960f83a bddf1b4da9412101acec54f2422f4e4f4c48d4e7 c055d908948be325acb04e7d309a9caca37994db c64b4c4f49ff9f727f279122526387a110a7d6f0 c9a8ef5cd4515c2dad565ae8c5279dfb2a6d0cd4 ca968ce5ab461136bc55f6a96af3e1bcd523de30 cb9d4617b1b8a2eb577745c511dbf491051622e7 cd666e0b66632bf9a9a28eab2010ce8a5123910a cf53965304f0749ff6eaec10841ecd85466c5986 d31e1f9b79e3abb0810a907e35ee8af98be9bc20 df9fa0b4396d309005c4650d5f91c312e11bfa0f e2a96e737a09678ef1e75b1a44f5fbaf7ac6b5ac f851e416cda170b1bc5db2b171b84d56e81f3073 ff1e7dae8950a318974dc22788254c9f10a6e421 Package: mrtrix-doc Source: mrtrix Version: 0.2.13-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3409 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.13-1~nd90+1_all.deb Size: 3187114 SHA256: 31a178d9ac35d4f4abb464fce20b1f93262be7f72496533c7115944ce78d4f58 SHA1: 0c47708637640b4c6090784f8b3f14a5e585f7db MD5sum: 1247be3183759043b51ea93c08d00c9c 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: 3.0.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 51978 Depends: neurodebian-popularity-contest, libc6 (>= 2.23), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.0), libgl1-mesa-glx | libgl1, libgomp1 (>= 4.9), libpng16-16 (>= 1.6.2-1), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.4.0), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.5.0), libstdc++6 (>= 6), libtiff5 (>= 4.0.3), zlib1g (>= 1:1.1.4), python3 Recommends: python3-numpy Suggests: mrtrix3-doc, octave, matlab-support Conflicts: mrtrix Homepage: https://www.mrtrix.org Priority: optional Section: science Filename: pool/main/m/mrtrix3/mrtrix3_3.0.3-1~nd90+1_amd64.deb Size: 8934462 SHA256: a7648cb5e85d7b6636cc41d4e41ff3f0c9bb9011671c4745781601d5ebe550fa SHA1: 25dfa1732c61b0b34b45b9905126b26feb459ba6 MD5sum: e0e66472d09d268215e328ee60e55bf1 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-dbgsym Source: mrtrix3 Version: 3.0.3-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 399399 Depends: mrtrix3 (= 3.0.3-1~nd90+1) Priority: optional Section: debug Filename: pool/main/m/mrtrix3/mrtrix3-dbgsym_3.0.3-1~nd90+1_amd64.deb Size: 385718522 SHA256: aa992cf5982ba69a53cdaa36fdf5e4052dc4748b0054ccf555cd88d9f6124f89 SHA1: 2b0f35d324a35bb2e9484092c16afb263644d4e8 MD5sum: ed84c50ae32bdadc158c5b3c9fd2b703 Description: debug symbols for mrtrix3 Build-Ids: 0220247ec7ef44fcb83e8572e84d0a4a88298db0 033ed34a05f1cec03815fa11bbd6c591a859c77e 03d90974dd8624d1c2f86c785a154d1fbffcae99 06115a9cc6fe139b6ff9f49f7a60736e4af2bec7 0641a7060a844bbb4265b86ca5265c3bffefcf29 07f1718f64957683fe356f4a4092e0ad0a0206f0 0d07901a21b66a2315e6b8941f53289087023243 0f03963631f55e2048472b15f182d053f5c93b56 0fadf5a9b2084f26cfc83b37569cf50a5f0d884c 10d2805cea46dfc5f70a6ff3c39a404807aa3d42 151d4a214ef23da90164192c46c2782580c0b600 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Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: mwrap Version: 0.33-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 302 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Recommends: octave Homepage: http://www.cims.nyu.edu/~dbindel/mwrap/ Priority: extra Section: devel Filename: pool/main/m/mwrap/mwrap_0.33-1~nd70+1+nd90+1_amd64.deb Size: 213764 SHA256: 33cd7388cb0c1fc8570c6d96c14549ff51a72b0ff9ccf64e8d75146149328682 SHA1: 25623600886b3aba2c6ece99288757e1aa141b67 MD5sum: 8e6af744e4aa91254cbdff3e645f81ee Description: Octave/MATLAB mex generator MWrap is an interface generation system in the spirit of SWIG or matwrap. From a set of augmented Octave/MATLAB script files, MWrap will generate a MEX gateway to desired C/C++ function calls and Octave/MATLAB function files to access that gateway. The details of converting to and from Octave/MATLAB's data structures, and of allocating and freeing temporary storage, are hidden from the user. Package: ncdu Version: 1.14.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 99 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libncursesw5 (>= 6), libtinfo5 (>= 6) Homepage: http://dev.yorhel.nl/ncdu/ Priority: optional Section: admin Filename: pool/main/n/ncdu/ncdu_1.14.1-1~nd90+1_amd64.deb Size: 45122 SHA256: ed74168e90e1a02705e065c21fa54a8330a82e3d6c89ab65ccbe254b9476219e SHA1: 28bb8ae228a2e3c6c13e2ac146fcf63e3749d350 MD5sum: 004b20848a2498400c3f6c8aa352202a Description: ncurses disk usage viewer Ncdu is a ncurses-based du viewer. It provides a fast and easy-to-use interface through famous du utility. It allows one to browse through the directories and show percentages of disk usage with ncurses library. 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It can output a sources.list(5) file that can be used with package management tools such as apt or aptitude. Package: neurodebian Version: 0.41.2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: python3, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.41.2~nd90+1_all.deb Size: 36134 SHA256: 2fd82097b58135363e1e57bec17d538b26d04155a539190289a3beca5d4c7b62 SHA1: 5e9621d6af342687ddd3c1014ec1bba47a70f7b0 MD5sum: f8b5193bd8502f1b54638bb563a39413 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: 0.41.2~nd90+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_0.41.2~nd90+1_all.deb Size: 11690 SHA256: abe66c4cc36558c2bf14ba051631c6c3466374523cf0b5cb6e8499ba61e08fd4 SHA1: 611e89d93a6f47fe19067d5385965950487c92a7 MD5sum: 575f5dfc30aae26544ef1090abe7328c 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: 0.41.2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 198 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_0.41.2~nd90+1_all.deb Size: 122194 SHA256: cd2ef00b41c251fe03ded610bc835aaa801d181f195bf0c91522423136bee02f SHA1: c1b5bc8266916847ac33340f3b439b431cba97fd MD5sum: 2e44622506c76840820f9b683286271b 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: 0.41.2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: devscripts, neurodebian-archive-keyring Recommends: python3, zerofree, moreutils, time, debian-archive-keyring, apt-utils, cowbuilder, neurodebian-freeze Suggests: virtualbox-ose, virtualbox-ose-fuse, singularity-container Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.41.2~nd90+1_all.deb Size: 35302 SHA256: 2fc087368d900645f99c71c3d10267da09a7e459177c37d0ffb90c6e548e63ba SHA1: ebdfb36f8bb0ac52f8b3695c2f6ab0c3d5071e13 MD5sum: c1aff9468883e421e2e9d82a1ef6983c 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: 0.41.2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.41.2~nd90+1_all.deb Size: 16050 SHA256: 480f1009edec350e00fc2f2d6b423a0969365835ecb22c5d936d34227a16afe3 SHA1: 7c010c07d52d31214dad014711eecfbfd5f82839 MD5sum: 9d487bbd51aa6d1b9a6b396c85e16880 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: 0.41.2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 142 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_0.41.2~nd90+1_all.deb Size: 18280 SHA256: c35d6ee6c2d98bff1c8ce55d282ab920c8237719b301afec9dece34ae5af92bb SHA1: cbff8b2200676fe23c790dd3c80df2dd5e97f46e MD5sum: 6fb98773e35e5f936f94c2590d0f7e35 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: 0.41.2~nd90+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_0.41.2~nd90+1_all.deb Size: 13752 SHA256: 0dda25de13de5405e032e8fec4ef367813b3a95b98d97cc81d574c0d5b93a370 SHA1: c15bd761cdb4eb6366277c4ef82615057fb85d93 MD5sum: 3b765ffbdae0635f98380ac3aa469d5f 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: nifti-bin Source: nifticlib Version: 2.0.0-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 154 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libnifti2 Homepage: http://niftilib.sourceforge.net Priority: optional Section: utils Filename: pool/main/n/nifticlib/nifti-bin_2.0.0-2~nd80+1+nd90+1_amd64.deb Size: 55396 SHA256: a49649ccbad9197fb3ecb2745449140838201217ab45c5c783399577a431e731 SHA1: 15c160025b2e6adeae03e35f4e64c53a547d43e3 MD5sum: 6e2aa35c3facf71df57b6630935481e5 Description: tools shipped with the NIfTI library Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the tools that are shipped with the library (nifti_tool, nifti_stats and nifti1_test). Package: nifti2dicom Version: 0.4.9-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2458 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.6, libstdc++6 (>= 4.9), nifti2dicom-data (= 0.4.9-1~nd80+1+nd90+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom_0.4.9-1~nd80+1+nd90+1_amd64.deb Size: 363680 SHA256: 27accaea41123ae8af24fbfc0c8e9e53fde90642daf0783e190710471fdbb159 SHA1: 57cd070cd32490e3d3bddbcc50be947e2b74b932 MD5sum: 9d2a04558de6e42d8f3c362cb82bddbf Description: convert 3D medical images to DICOM 2D series Nifti2Dicom is a convertion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS. . This package includes the command line tools. Package: nifti2dicom-data Source: nifti2dicom Version: 0.4.9-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 643 Depends: neurodebian-popularity-contest Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom-data_0.4.9-1~nd80+1+nd90+1_all.deb Size: 615920 SHA256: 25fdd19e2a1d27cd7e03c17dc874ec0bf5bfe53862d0edd400da96b9649362e1 SHA1: b63957274fc4d210c1a0b12766144d56a78752d5 MD5sum: 56bd9fd876a7a3458bccdcac9a1bc456 Description: data files for nifti2dicom This package contains architecture-independent supporting data files required for use with nifti2dicom, such as such as documentation, icons, and translations. Package: nuitka Version: 1.0.6+ds-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 22793 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python3-jinja2, python3-appdirs | base-files (<< 7.2), python3-dev, zlib1g-dev, libzstd-dev, ccache, patchelf, python3:any (>= 3.3~), python:any (<< 2.8), python:any (>= 2.7~) Recommends: python3-lxml, python3-tqdm, strace, libfuse2 Homepage: https://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_1.0.6+ds-1~nd90+1_all.deb Size: 2100808 SHA256: bb655d8331abfbb750fe1b9337eb3760f0c01f730bc052ff489fe8d0ad2042db SHA1: 34d090a9658f6fd2e6f47b43e5af998de63f12b5 MD5sum: f264734ef2ec6d1850b56617edac145e 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 928 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_amd64.deb Size: 602346 SHA256: a261ea3af6c9370c77a1a4d6166c2972b341d6e89fdd02693d73a84dcc55edf5 SHA1: cb99d1d35daee8c9a6a53350f1a48e97e360de57 MD5sum: 26d8fd0b724282404a898a102a298ed2 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: numdiff-dbgsym Source: numdiff Version: 5.9.0-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 95 Depends: numdiff (= 5.9.0-1~nd90+1) Homepage: http://nongnu.org/numdiff/ Priority: extra Section: debug Filename: pool/main/n/numdiff/numdiff-dbgsym_5.9.0-1~nd90+1_amd64.deb Size: 63764 SHA256: 58d1aabac10ba9513bd927aee0c6bbedd9269cd7993a400c9b92820407bf6470 SHA1: 6d2f31e8e5835c94e340e406c4fba13e6cc08ff6 MD5sum: 09625a4c32999940685ebe6202bf0d99 Description: Debug symbols for numdiff Build-Ids: 39e2a9bf5f9879c94ff79051f92c9c01b1645840 3de1ded9a28d7a3cdcc56606efeb5bbcb12c999e Package: obs-plugins Source: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3037 Depends: neurodebian-popularity-contest, libasound2 (>= 1.0.16), libavcodec57 (>= 7:3.2.9) | libavcodec-extra57 (>= 7:3.2.9), libavdevice57 (>= 7:3.2.9), libavformat57 (>= 7:3.2.9), libavutil55 (>= 7:3.2.9), libc6 (>= 2.15), libcurl3-gnutls (>= 7.16.2), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libjack-jackd2-0 (>= 1.9.10+20150825) | libjack-0.125, libjansson4 (>= 2.0.1), libobs0 (= 21.0.2+dfsg1-1~nd90+1), libpulse0 (>= 0.99.1), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.2.0~alpha1), libqt5widgets5 (>= 5.2.0~alpha1), libspeexdsp1 (>= 1.2~beta3.2-1), libstdc++6 (>= 6), libswscale4 (>= 7:3.2.9), libudev1 (>= 183), libv4l-0 (>= 0.5.0), libx11-6, libx264-148, libxcb-shm0, libxcb-xfixes0, libxcb-xinerama0, libxcb1, libxcomposite1 (>= 1:0.3-1), libxfixes3 Recommends: vlc Multi-Arch: same Homepage: https://obsproject.com Priority: optional Section: video Filename: pool/main/o/obs-studio/obs-plugins_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 1396376 SHA256: 6ec830e1b13d2ca21e330b3406b3eb018ff11c4a644f03c3fa0d96342c91b146 SHA1: d293ddf8610288cd284b6a455f06a1c24d82c4da MD5sum: d4d4886e3c6fb7b193e5c213d2e5aebe Description: recorder and streamer for live video content (plugins) OBS is designed for efficiently recording and streaming live video content. It supports live RTP streaming to various streaming sites. . This package contains the plugins. Package: obs-plugins-dbgsym Source: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2640 Depends: obs-plugins (= 21.0.2+dfsg1-1~nd90+1) Multi-Arch: same Homepage: https://obsproject.com Priority: extra Section: debug Filename: pool/main/o/obs-studio/obs-plugins-dbgsym_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 2393458 SHA256: 1493510ef36b5818e826af54dc08cf479374298f3b471b38fe45b52edd1d5533 SHA1: 3e595f87f47cc3c753948f384bf6cc4f850e3e62 MD5sum: 9b907d33349dd30b97f3ce5635bf53cc Description: Debug symbols for obs-plugins Build-Ids: 1bb12450bb0cab6c162f08b2da70db3947542114 3808aad4d6e5b1b496c2d4c0ba8b318c0c1f3fcc 4bf9aa82cfd85276015c62b95e2a446bc640c551 595d6d6ccb7d7a6594c7dd815c29707d969d0dce 6c791406c9dd81af8afa9b078e3e35e9decb971e 784f57f1d97a64bc14440b6ab84fc7504d46843b 7fbd0642e778ff010eed0d5759c6acf1e003b825 837e15ebf0157ceb09c2bc596d7e10550fb7e1aa 8986f2859783160898e9fb2436a2fcd913d307be a65bd727a791edd729d14e1c22f5ace3d8c8e526 afee251172a665ab5dc7abfbc39a4665acfa303a b4c3a9883b8fca09f36cf3119ec71858c70b3048 bb2b1f01ca6ba78ffcb1c284e219c73c023194aa bc4c0da0a14b0be7a47c79ad864d4d4943916da9 e576f48c97304be46fedc07681cef37e5dd37155 e60defdf6dd3d3b5bd1da33fc970fafb4f5a5fb9 fd7f171e3d7b23905081166e75fc9318647d3d5f Package: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3621 Depends: neurodebian-popularity-contest, obs-plugins (= 21.0.2+dfsg1-1~nd90+1), libavcodec57 (>= 7:3.2.9) | libavcodec-extra57 (>= 7:3.2.9), libavformat57 (>= 7:3.2.9), libavutil55 (>= 7:3.2.9), libc6 (>= 2.14), libcurl3-gnutls (>= 7.16.2), libgcc1 (>= 1:3.0), libobs0 (= 21.0.2+dfsg1-1~nd90+1), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.3.0), libqt5widgets5 (>= 5.7.0), libqt5x11extras5 (>= 5.6.0), libstdc++6 (>= 6) Homepage: https://obsproject.com Priority: optional Section: video Filename: pool/main/o/obs-studio/obs-studio_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 872458 SHA256: d527a9152f9f622718cba3275256774262c7c75fa2b79fea10bbcab0f9959b2e SHA1: 54c269cf1a59c55092bff072a7925a66b0ce1b2e MD5sum: 41a4a5931047475a600716cb1aea05c7 Description: recorder and streamer for live video content OBS Studio is designed for efficiently recording and streaming live video content. It supports live RTP streaming to various streaming sites. . Other features include: * Encoding using H264 (x264) and AAC * Unlimited number of scenes and sources * File output to MP4 or FLV * GPU-based game capture for high performance game streaming * Bilinear or lanczos3 resampling . Note that OBS Studio requires an OpenGL 3.2 compatible video card. Package: obs-studio-dbgsym Source: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8106 Depends: obs-studio (= 21.0.2+dfsg1-1~nd90+1) Homepage: https://obsproject.com Priority: extra Section: debug Filename: pool/main/o/obs-studio/obs-studio-dbgsym_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 7912694 SHA256: b0af9838993ab786cc4e54bef32d526f80710291013b82ff68e4e62b841719cb SHA1: 9d5e83a3b9f49cfa4d5b5cbf1bf41ab36e24f2c4 MD5sum: 3ad74193e904567a52fe18394b8f1e57 Description: Debug symbols for obs-studio Build-Ids: 72a27adf707565f8b7edb1e505a128167d6ccd20 Package: octave-biosig Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libbiosig1, libc6 (>= 2.4), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), liboctave2, libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/octave-biosig_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 19876 SHA256: cebf57f465d5b7567477ad5348a4eec2c4e5b20108ae5f52b3c34b0a4c680404 SHA1: 3364ad4bd7ebf29c94ad9029626a779a7e60be6b MD5sum: 2ccd99945ba3668d1e26da5fdc15e8c8 Description: Octave bindings for BioSig library This package provides Octave bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: octave-gdf Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 349 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgdf0, liboctave2, libstdc++6 (>= 4.9) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.2-2~nd70+1+nd90+1_amd64.deb Size: 89814 SHA256: f73755359dda185d22f7e0425fbb3dbbbe4f37afaa8e891cf7f68eb16ba2e138 SHA1: 577320c6a82c0b561e760e27d2fae474dce4ec4e MD5sum: 58f9eedb8d4027c1477746a47e1eee61 Description: IO library for the GDF -- Octave interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides Octave bindings for libgdf. Package: octave-nlopt Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 164 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), liboctave2, libstdc++6 (>= 4.1.1) Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: math Filename: pool/main/n/nlopt/octave-nlopt_2.4.1+dfsg-1~nd80+1+nd90+1_amd64.deb Size: 33612 SHA256: 1f1c2e64fb170da1626f52a46bf45a1d94fb7f176bf1cf629f15408482ab2d0d SHA1: cfb9bb590d0ae762a871e57fe486ef7a806aa37e MD5sum: b5851e54dc923fb3d98982eaa49a3231 Description: nonlinear optimization library -- GNU Octave package NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the module for the GNU Octave. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4443 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.14), 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, libgomp1 (>= 4.2.1), libgstreamer-plugins-base1.0-0 (>= 1.0.0), libgstreamer1.0-0 (>= 1.4.0), liboctave3v5, libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), libstdc++6 (>= 4.1.1), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1, libxcb-dri3-0, libxcb1, libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxml2 (>= 2.6.27), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.16.20200326.dfsg1-1~nd90+1), psychtoolbox-3-lib (= 3.0.16.20200326.dfsg1-1~nd90+1) Recommends: octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.16.20200326.dfsg1-1~nd90+1_amd64.deb Size: 872580 SHA256: 3e0fe63fc1dad08c24020b5697cb84676e53bf89c790aa545aad043082e27919 SHA1: c1f3f759b77fd847e97eb7ce6d22dc58f8c86d73 MD5sum: 0960dc120b3bb51d7d89b2e6b0027f96 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: odin Version: 1.8.8-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 4436 Depends: neurodebian-popularity-contest, libblitz0ldbl, libc6 (>= 2.14), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), liblapack3 | liblapack.so.3, libnifti2, libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.6), libvtk5.8, mitools (= 1.8.8-1~nd80+1+nd90+1), zlib1g (>= 1:1.1.4), libodin-dev, libgsl0-dev, libc6-dev | libc-dev, g++, libblas-dev | libatlas-base-dev, xterm | x-terminal-emulator, gdb Recommends: liboil0.3-dev | liboil-dev, libdcmtk1-dev Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/odin_1.8.8-1~nd80+1+nd90+1_amd64.deb Size: 1279254 SHA256: 01da968248ded6714d7de38b99d13d4de7aad4c473328e768a662b2f14ab691d SHA1: 2f68317854bb53c320056b32a62132921c27f9af MD5sum: bc75864a376002de6911c94897264655 Description: develop, simulate and run magnetic resonance sequences ODIN is a framework for magnetic resonance imaging (MRI). It covers the whole toolchain of MRI, from low-level data acquisition to image reconstruction. In particular, it aims at rapid prototyping of MRI sequences. The sequences can be programmed using a high-level, object oriented, C++ programming interface. It provides advanced sequence analysis tools, such as interactive plotting of k-space trajectories, a user interface for a fast compile-link-test cycle and a powerful MRI simulator which supports different virtual samples. For fast and flexible image reconstruction, ODIN contains a highly customizable, multi-threaded data-processing framework. Package: openstack-pkg-tools Version: 112~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 537 Depends: neurodebian-popularity-contest, python3-pip, gettext, jq, po-debconf Recommends: autopkgtest, madison-lite, pristine-tar Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/o/openstack-pkg-tools/openstack-pkg-tools_112~nd90+1_all.deb Size: 100736 SHA256: a1f3f620de490470bd8afba49eb79beff7b1ea9c72e3bb34202490aaf3011387 SHA1: 056606e6dc27bc93912fe16b8ba5823463af4913 MD5sum: 6e878883b8f486cdd181b751d57bd66e Description: Tools and scripts for building Openstack packages in Debian This package contains some useful shell scripts and helpers for building the OpenStack packages in Debian, including: . * shared code for maintainer scripts (.config, .postinst, ...). * init script templates to automatically generate init scripts for sysv-rc and systemd. * tools to build backports using sbuild and/or Jenkins based on gbp workflow. * utility to maintain git packaging (to be included in a debian/rules). . Even if this package is maintained in order to build OpenStack packages, it is of a general purpose, and it can be used for building any package. Package: openwalnut-modules Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 22134 Depends: neurodebian-popularity-contest, libbiosig1, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libnifti2, libopenscenegraph100, libopenwalnut1, libstdc++6 (>= 4.9) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-modules_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_amd64.deb Size: 3620104 SHA256: 1ffd3ad5e8d7c0c14f8e60fc671d4e0c3a4835bff70b9aeed6b2f6dd8ca38d4f SHA1: 0677edb93115f5bad04af628e22b1e8577279b7e MD5sum: 6e1813b16f8f191b2e70548363f91ced Description: Loaders, algorithms and visualization modules for OpenWalnut OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the currently available modules for OpenWalnut. Package: openwalnut-qt4 Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2156 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-program-options1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libopenscenegraph100, libopenwalnut1, libqt4-opengl (>= 4:4.6.0), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.8.0), libqtwebkit4 (>= 2.1.0~2011week13), libstdc++6 (>= 4.9), libx11-6 Recommends: openwalnut-modules (= 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-qt4_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_amd64.deb Size: 756524 SHA256: 887b06586e8885a7df4921264bc45fae389b12c4cbe4b0ff173b3edf6c9e2be4 SHA1: b8f66130ad8f2dd4d3905eeddf31b36e0cd62fe3 MD5sum: 9f6f23646dd65110ee902ce97efc7c97 Description: Qt based user interface for OpenWalnut OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the QT4 GUI for OpenWalnut. Package: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 862 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), 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_amd64.deb Size: 350448 SHA256: 4d3845ac80a3ecb9519340c637b2591cb0493ebd2ebb060d576561d2b3eda123 SHA1: d5de734662947d1fee101a7cdf0d5655b04892aa MD5sum: 25629f0ddb23560603ab55b82bbf3c5c 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-dbgsym Source: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2491 Depends: p7zip (= 16.02+dfsg-1~nd90+1) Homepage: http://p7zip.sourceforge.net/ Priority: extra Section: debug Filename: pool/main/p/p7zip/p7zip-dbgsym_16.02+dfsg-1~nd90+1_amd64.deb Size: 2347974 SHA256: 597dbf73b8474dc04780a51d4504a45c6296c009f82f5ed6649fb22fabde3b42 SHA1: 62ceac30b6000e205c39ac3927b8af7090412a4b MD5sum: 0923ede661ee1e7cd491d400f1089548 Description: Debug symbols for p7zip Auto-Built-Package: debug-symbols Build-Ids: feb14b86def97b67242495e84c092534da8677fc Package: p7zip-full Source: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4215 Pre-Depends: dpkg (>= 1.17.13) Depends: neurodebian-popularity-contest, p7zip (= 16.02+dfsg-1~nd90+1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), 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_amd64.deb Size: 1161202 SHA256: 6ddef42c60bb0ec19fd6a7a10342413fed508f7098baf41143bc5c7f08c4891f SHA1: 8bd2aef2b702e2ead2cdbc5bb8ec35bd30406aa1 MD5sum: c212134c52688d8ef79395bd1680e139 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: p7zip-full-dbgsym Source: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11420 Depends: p7zip-full (= 16.02+dfsg-1~nd90+1) Homepage: http://p7zip.sourceforge.net/ Priority: extra Section: debug Filename: pool/main/p/p7zip/p7zip-full-dbgsym_16.02+dfsg-1~nd90+1_amd64.deb Size: 10776594 SHA256: 1027d935788ee1c91a8d4ba9800a81d4ed4c0fcb17725a66acd0840a89e92c62 SHA1: ffb3f6bf9fd9d305a9f6bf3a98c8c3726233ecaa MD5sum: b7a195b2b6514ece73c8c92e0022aab9 Description: Debug symbols for p7zip-full Auto-Built-Package: debug-symbols Build-Ids: 2337e4829cc819845a7a121da3d1707a074e3505 2facdea81bfce370aeff89e01dca959f4698d994 7f0657ea16762c930a9420680df9935cdd4314eb 9bc856a037990d0b608ca6353bc7fe340c3cfa11 Package: patool Version: 1.12-3+nd1~nd90+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~nd90+1_all.deb Size: 37536 SHA256: 9c2f40a63038642dd25a6fe73a21596bfbb0213c61e3ba0d3254b24793d1188f SHA1: 80c9b92aea4d88e162745b9c9ba2c222a79b763c MD5sum: 71dbdd16074792561d67ce55288f9594 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-prov (= 1.5.0-1+nd1~nd90+1) Homepage: https://github.com/trungdong/prov Priority: optional Section: utils Filename: pool/main/p/python-prov/prov-tools_1.5.0-1+nd1~nd90+1_all.deb Size: 6938 SHA256: 35ce4b0407e0dc18cadf1dc84bb1090428eef0dc8e9d81c39e1e48fe29ec187c SHA1: fa934f8e5fb0387c8d1e7c1dddd86230756bfe79 MD5sum: 892291b0c84d035bc4274d6bf9a910dc 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~nd90+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~nd90+1_all.deb Size: 6666798 SHA256: 7454ce687aad9b4e07c0238f73853ff8f633fcf4309c6a1a566fd0acbb756876 SHA1: f409acfbfbb2cf2b861da56c0e09e93577889536 MD5sum: d7f3b1574f3ef40dbdbcaaeb85fae345 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: 3.0.16.20200326.dfsg1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 669447 Depends: neurodebian-popularity-contest Recommends: alsa-utils, gamemode Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.16.20200326.dfsg1-1~nd90+1_all.deb Size: 24045298 SHA256: f14d94a8618fdad76439d485c02433ba7a055eb1868a3f5235123cce1486a04d SHA1: 51310eefb008edfc081b55b80609ae57508d6029 MD5sum: 57c07f2c640e9e7160e6239bacdabd79 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: 3.0.16.20200326.dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9531 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.16.20200326.dfsg1-1~nd90+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.16.20200326.dfsg1-1~nd90+1_amd64.deb Size: 8320348 SHA256: 942452818899e27875cb71c49b819a18ee8d6f2420239d963c45db2da90a502c SHA1: bd3795ddc3745ce0a1cdb7bc6c3bf16f07fee93f MD5sum: 1d5c7217560d75dfe8760b71165d8762 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: 3ff8d8c27045324c5f17ad54df353e93d377d4f9 Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 191 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfontconfig1 (>= 2.11), 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_3.0.16.20200326.dfsg1-1~nd90+1_amd64.deb Size: 74270 SHA256: 44d613a5bfbd26255b09d8c64d1236b0ede446f655e4d09b2f52a94d77de1dfb SHA1: fb3efed8c3cb7fa71f697ff6ba3e964eb7eb6fdd MD5sum: 982919216c68b832bc99592cd1bcc713 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 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~nd90+1_all.deb Size: 161870 SHA256: bddef352d5fec85e5418126b95bbc4a7e30545e814f868356572b774bc703bf3 SHA1: 7d487d2042325c5d1a72e2ef8f539247009f8000 MD5sum: 56772b1a0177d0bb42389754d6c3a81a 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~nd90+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~nd90+1_all.deb Size: 18928 SHA256: f2f1b45838e07d3f02935fbeb1b874f78be29d1360d1efacd919e4b6bf6c6505 SHA1: 9488abb0b3f1d5fb46881db283baf37114f826ee MD5sum: 07b60f2a22a6dedd482d00bef5b061b4 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 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_all.deb Size: 112014 SHA256: a5f5d3af25cd067c7ca0980197b468608db58fc66c21d4060a5a499d31d875cc SHA1: 62b064f20bdb52343bfe0e52ebe0025714666e0f MD5sum: 53c459981770a47c2572cd36446996cf 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 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_all.deb Size: 82240 SHA256: 2a04dea59f4a2e1e22f183eb552127733212d977210c64361cd13a6b2cee3c4f SHA1: ef88d35bd689227bd9a441612668d00bea6cd86b MD5sum: dae2e5593b4cb52bac5e901d432dc993 Description: Advanced Python development support library (PyPy) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the PyPy 2 modules. Package: pypy-pytest Source: pytest Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 644 Depends: neurodebian-popularity-contest, pypy-pkg-resources, pypy-py (>= 1.4.29), pypy Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/pypy-pytest_3.0.4-1~nd90+1_all.deb Size: 180980 SHA256: 73bcd2a5712fd2a73c870628e6cc05840d99092603ad7eb99b4db5d129ad3e41 SHA1: 0807b543982f57ce8134b9c40e34bf1de0eb2423 MD5sum: a81145b7a98f71029d0ab95b602788d4 Description: Simple, powerful testing in PyPy This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the PyPy module and the py.test-pypy script. Package: pypy-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, pypy-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+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_all.deb Size: 121864 SHA256: a870a5820f95fb19bd77ea8ade8ec02f8fe2468ad1992872b5f86fbd0b7918cc SHA1: 25e39eb583ed85d1e0491293359b01044adb2a49 MD5sum: 58359f2e1a13b28c4b3511d016f1a79c 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, pypy Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/pypy-six_1.10.0-3~bpo8+1~nd90+1_all.deb Size: 14646 SHA256: c4507f968a7dca4642f8d455b06e7969e8bd9aaefca243275c1c7d1a2e46bd42 SHA1: 027e0e9feca249c26389d81f3dca423df209d042 MD5sum: eb331296c7ac50330fb33c3f129640e9 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 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_all.deb Size: 25860 SHA256: 9770b9ab43c4c2d9278efb849353440e401bd6597a145741a41ddb0a7b28ee2b SHA1: 7902f84d52f282728cea4a6593ce5677265a01d9 MD5sum: 669cb251550f489e0a3ddaf00626b287 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-babel Version: 2.6.0+dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 413 Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd90+1), python-pkg-resources, python-tz, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python-babel_2.6.0+dfsg.1-1~nd90+1_all.deb Size: 88306 SHA256: 971fd7c191015334440b88a6ee0f3ae3180f5f0d394c9cc6f664722c4d0da695 SHA1: 7638d426b5e34f942bf1c54105fc1ae3e935b29e MD5sum: 97ac6f1efdb67bdfae057c5294e30811 Description: tools for internationalizing Python applications - Python 2.x Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package provides the Python 2.x module. Package: python-babel-doc Source: python-babel Version: 2.6.0+dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 925 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://babel.pocoo.org/ Priority: optional Section: doc Filename: pool/main/p/python-babel/python-babel-doc_2.6.0+dfsg.1-1~nd90+1_all.deb Size: 179012 SHA256: a00060e239914f89e3f84f8630a1997a26494d3ed99a51ecf34c1a4fe24ea7ec SHA1: d44b8d4abf8d528951a56a0d4f348b22991f36f6 MD5sum: 8651c97bc0d7f973f4fc98db819daebb Description: tools for internationalizing Python applications - documentation Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package contains the Babel documentation. Package: python-babel-localedata Source: python-babel Version: 2.6.0+dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20957 Depends: neurodebian-popularity-contest Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python-babel-localedata_2.6.0+dfsg.1-1~nd90+1_all.deb Size: 4075750 SHA256: fa21529cf2a572a48fbae4845e187ea27257f38ec856ef1f5dae5b911fccc747 SHA1: 29196d45081b032dead1897a024d44dcbd707d06 MD5sum: 0167119f6c1b9451c18f512104a0ef52 Description: tools for internationalizing Python applications - locale data files Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package contains the locale data files used by both python-babel and python3-babel. Package: python-biosig Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 220 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, python-support (>= 0.90.0), libbiosig1, libc6 (>= 2.14), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: python Filename: pool/main/b/biosig4c++/python-biosig_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 42586 SHA256: cfd06e3c5ccfbce94295f39b5f3ec4017d901ecccdd736801d280ed1c46cc67f SHA1: ed7bd9ad22d382058441be7f8231e75c8f599a51 MD5sum: 6e953e3faf3c49cf544a3a5d329e259b Description: Python bindings for BioSig library This package provides Python bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: python-boto Version: 2.44.0-1~nd90+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~nd90+1_all.deb Size: 740948 SHA256: 32923fde5a1e58f2f3d96e1aced1f65672c9630f5e065804c6ed3ede587702ec SHA1: c48e3b929c113d6ab054ef808c84a26c365bbf5d MD5sum: c30d3674071e8ef7b4e5b3c7671a3cf1 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 725 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_all.deb Size: 63248 SHA256: 903c68c0cc43c054b23959b39a2bb6cc4b3660258a38941c8af64bdda7464cdf SHA1: 4e7ae6fab994e98b1c6e70f3c017af580582e04f MD5sum: 956985a5cabb4e4a6dad490893ca869b 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 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) 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_all.deb Size: 401758 SHA256: 26b36aeba8693591db3604ded9e5852ae651a5766193e0bfea7d5aab171d0f31 SHA1: c2f7d445d3c681da9cce12435170627f94cee2db MD5sum: 452096fa5825d8ab802bf5a6f501e378 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7329 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_all.deb Size: 1985698 SHA256: 835c5afdbb4fb11f14d66598ecc38cb5a843a79b3f1bb0dac172168999441e61 SHA1: 8f96312d74a074629b85cd1958684525730613ad MD5sum: 5fbe363a3b8a2cd72948371cd7b9d00b 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 159 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), libc6 (>= 2.14), 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_amd64.deb Size: 40920 SHA256: 109844514529d814867639565f781c78fe7056af915c326cebbe1338f6de14d2 SHA1: 2b76c103b0d78fad717ac3d2467be07fd74fd1e4 MD5sum: 54fe7cba551ca4e42edf5b25327dfeb4 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-brian-lib-dbgsym Source: brian Version: 1.4.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 167 Depends: python-brian-lib (= 1.4.3-1~nd90+1) Homepage: http://www.briansimulator.org/ Priority: extra Section: debug Filename: pool/main/b/brian/python-brian-lib-dbgsym_1.4.3-1~nd90+1_amd64.deb Size: 133750 SHA256: c5742e18aa282a7d1431588b6b2d80263a06038da68b3925388f590d5cd426f5 SHA1: 92ad02a5bd3d2a531fe316d7366b218688218542 MD5sum: cdd24118cfe25b65e3821d3c01ce8d05 Description: Debug symbols for python-brian-lib Auto-Built-Package: debug-symbols Build-Ids: 024671780bd6f8afd5efd3aa2b9f7b290f1cced2 f2d873ece738c4437a5f3cc58a6f4ff2d5dadcd6 Package: python-bz2file Version: 0.98-1~nd90+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~nd90+1_all.deb Size: 7828 SHA256: a0632a8f789f2252208ecf9594e29534361962d56f002c63ad4c284452c2d823 SHA1: 5008a394324519318ea28c08addfd042dfd577c7 MD5sum: cad82f5946f14ef047354a72aec00130 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-cfflib Source: cfflib Version: 2.0.5-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 736 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-lxml, python-numpy, python-networkx (>= 1.4), python-nibabel (>= 1.1.0) Recommends: python-nose, python-sphinx, python-tables, python-h5py Provides: python2.7-cfflib Homepage: http://cmtk.org/cfflib Priority: extra Section: python Filename: pool/main/c/cfflib/python-cfflib_2.0.5-1~nd70+1+nd90+1_all.deb Size: 202534 SHA256: 76cb03a4761b10f0ba07dc6eb4cf60e126c2d362aeaa2f981d1a79003a265982 SHA1: 9129804539bb9895714a6229ae4d56a544bf47ed MD5sum: fd58e3bf366a779d34c534a279c590d3 Description: Multi-modal connectome and metadata management and integration The Connectome File Format Library (cfflib) is a Python module for multi-modal neuroimaging connectome data and metadata management and integration. . It enables single subject and multi-subject data integration for a variety of modalities, such as networks, surfaces, volumes, fiber tracks, timeseries, scripts, arbitrary data objects such as homogeneous arrays or CSV/JSON files. It relies on existing Python modules and the standard library for basic data I/O, and adds a layer of metadata annotation as tags or with structured properties to individual data objects. Package: python-chardet Source: chardet Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python-chardet_3.0.4-1~nd90+1_all.deb Size: 80442 SHA256: 964c2727d413ecb6e33893465dfe14627304273b7739b33b61c19ace89ae40d8 SHA1: ce1a411320a6fe8eaae82e4731319306c5327fb4 MD5sum: 5f95e0879d7869cbd403c451d9922e08 Description: universal character encoding detector for Python2 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. Package: python-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 769 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_all.deb Size: 80364 SHA256: d1545645e4616ee893390ac616db5525b8b6540f8962c978df9489762081a8c4 SHA1: 0a2c8756cc2aca7f3c4e34da3dec7f9e24da23dd MD5sum: a3d3a59ef819bfaae15b840ea2e0d164 Description: Citation Style Language (CSL) processor for Python Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python modules. Package: python-click Version: 6.6-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 259 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python-click_6.6-1~nd90+1_all.deb Size: 56286 SHA256: f1ccae2fbbbdb8275485bd231187c300a420f470bed9c75957c2190ef5628c80 SHA1: 7e09332a93eeaaf10babe22eab2691f5e17ca034 MD5sum: d04f4c95c9e3932f06b915c08e145786 Description: Simple wrapper around optparse for powerful command line utilities - Python 2.7 Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 2 compatible package. Package: python-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd90+1 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_all.deb Size: 8662 SHA256: 30037e9a438387a47f50b5d1d066cc01c56d74a9058caa4692d76ccb7fff9ac7 SHA1: 844fcf185faf677382fcb2e8b9632fe858c07873 MD5sum: 2143c9cc6e11f28cf85623860e3524e3 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-dcmstack Source: dcmstack Version: 0.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 509 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~nd90+1_all.deb Size: 78386 SHA256: a3d2294197887dbeeb5692db0703bf62a21e5c6537444685a49c2040f849fd91 SHA1: 5c4d80a0e7ef344ecad1b77c457754ae09a06808 MD5sum: e3382de1033abf6421a32049f5295988 Description: DICOM to NIfTI conversion DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python package, and command line tools (dcmstack, and nitool), as well as the documentation in HTML format. Package: python-deprecation Version: 1.0.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python-deprecation_1.0.1-1~nd90+1_all.deb Size: 8518 SHA256: d4fb1925ff31d8d1d1b825f34d84f193a2e07db519552fd0015cb9426b7f69a3 SHA1: 3bbd8141b6783d654d8b4577745b5edb8e260c83 MD5sum: 172e168b5e8d3f21660e3a04b1137e18 Description: Library to handle automated deprecations - Python 2.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 2.x module. Package: python-dicom Source: pydicom Version: 1.2.1-1~nd90+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~nd90+1_all.deb Size: 4808 SHA256: bd66e7ae6369c10924e253de56b7864aba934f3d9d4b137d8b0fbea6956aafbd SHA1: 98029a896f176b2dddc51fcb3af7a5550aa87a4b MD5sum: ba809c7dea3981c697d15c7a7b376020 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8634 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.14.0-1~nd90+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~nd90+1_all.deb Size: 3060924 SHA256: 350ba57f4050c4ae59f5d32ccca665bb0862f13711eb98c739abf0c078e97a48 SHA1: 03142e1bb62f45d29b3227374f28af9a352d9c5e MD5sum: 6a538657f13799cd9804fd05cfddfd8f 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16554 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~nd90+1_all.deb Size: 12640694 SHA256: e905ede7de92a9363fafccd830bef2cde49c0577bd4f4c006412023f3513fd73 SHA1: 9cd7b9f20cb24439a2c7b9b9401afeaaa45a32f1 MD5sum: 2fb949a8fe424ff6666e0842676091be 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10344 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.14), 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~nd90+1_amd64.deb Size: 2014562 SHA256: aad3cae7485c2c7a5a1d8fb9d32e9053e98ba76097e3e76ff32eeaa85a723de3 SHA1: 87f147242874daa5247ee3a3f05e69d75d95abce MD5sum: 8d4aed986525d54c88a0c025ad7fad21 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-dipy-lib-dbgsym Source: dipy Version: 0.14.0-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9922 Depends: python-dipy-lib (= 0.14.0-1~nd90+1) Homepage: http://dipy.org Priority: extra Section: debug Filename: pool/main/d/dipy/python-dipy-lib-dbgsym_0.14.0-1~nd90+1_amd64.deb Size: 8734248 SHA256: ee73abb41b9c3f48f115fc31e2d043dbd72f160992363978a6b11e5bb5a7b8fb SHA1: f9e81f852d307fabba82679c3333adc691a77321 MD5sum: a45f726b68c39e4a4ea6f9efce861759 Description: Debug symbols for python-dipy-lib Build-Ids: 0199b96f01705d2186666dc1ec1a56a8dacfb3c1 0833bd8bcf145d15b278a0e50557b314e6da24fc 0dff73aafd627acdfb74c581febafecbbc3252db 0ee2ed8786a3b1cfb0e8e34ed050723408fc9374 0f306638be9ce09026a247cfa51a2e6d65100c9b 10a5c5f17bfb91121615fe7adf643fb9bcc36bbc 21b1d9f0311574474f467a6c4cf2fed748a175b3 2e6ba4cffb64e54562b797669f1eddc3158e8398 377b5589868a734b06d3d06fa38c0601584e655b 3df06048ac617f72da44cd939ad143d82a9f9878 439e6e520c8f41420fb7b92ed4ed095da7c4174a 45a46ca8a7b8dcfe36ffd4d180d5b2b56878d1d1 4e3e496b78339b914e2a832625574684302b55c5 4eb8c1dda3869274f90637080eecff3be3612404 534194cc63c85bdcf52a8aae64d1bc90e9e59826 5aa0067c2c0ac509f13740ab2c24dae0756e692b 67fce91e07c24c3beff357efc127d336ca503f41 6d5771f4a7dc2c26823d2ef5c910eb3c757da641 6e7e1d73db6935cc462393c6b0a3e9383ef54571 7e79e1cb3168c3e63c2e875a3790e74a19a6c67a 8026e31b6ab8e6982681351dfce0d8eec392ad04 8157e214bc2a999a577d02e0a309d3ea04acc258 ae869713182a9c4c80f2a859745c148f485d228f b13f0bc913a00aa3ea67f1bf15b85d082f979f68 b7fbecb244ce399a51e4b8a6431bb2ef55ea9645 b87d64d04789d1c543c6d3d26a7362da9623007a bcbd01b905056b87d60f5e7d28316afe9b6948a4 bd9b52b9b7e60c502bcbd55d41acd96c7774c767 c98c4de8ced67bd3d37d700f402ccefe3a2eb5cc cf440f0ce0ed8e8dfea2383ce78673baddce899f d4b69c4c86ad1760f8d6f25d7684848705834ff0 df974ee8de919df1c62891f5f2bbf57a6ddff0e9 e72f4da0cde1cc82b20b63cf4133af5f404a270a e7d7d63a86ef29ce4d379ba724bbb6ce7c65b1ec e9b6a261cc362c5ea8dc759a19d7c88e2f9c0c78 f4b2bae07409555c0e9ecab4b3a8e927542f9a66 f738850b6810352c2a8f3f163daee70b7956bb4f Python-Version: 2.7 Package: python-docker Version: 1.7.2-1~bpo8+1~nd90+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_all.deb Size: 27084 SHA256: f0d1901b79fc58630bda5fc801f098b6a5147815d269c0fa9ed41fdc2ccfbe83 SHA1: 4170d23c689761aeb807f212e63a84baad5e648d MD5sum: 2da688b6d004c3f4f432fd5106be4683 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 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_all.deb Size: 10894 SHA256: dbf2e01c9a5e918543e31009dcaedbe9fe64562193d14c400a3fc71cfc878a1b SHA1: b692bcb4358c589adb8e233f413f0f8632f23ee5 MD5sum: 98501c04149da313da85d9b5c464e2ac 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: 0.7.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 250 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.7.0-1~nd90+1_all.deb Size: 57310 SHA256: 063cbc38f3b682d40a6497d34b074b8f0a6ccebea661a6af22036a2e6143df24 SHA1: b014156bbcc5c1644a72456122f59daa1dcd2e8d MD5sum: c1c89c0c9b48caa5fbe8d35c212a037e 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-exif Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python-exif_2.1.2-1~nd90+1_all.deb Size: 30886 SHA256: e73873ad34f8367a30e069bb026976ede00fe6eb03afb9ba76d79aa63fe62ec6 SHA1: e99ddc1365100521a95da4e91d61691f90a199ef MD5sum: c285c846fbd838dc05602705aed5882c 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-expyriment Version: 0.7.0+git34-g55a4e7e-3~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2571 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-support (>= 0.90.0), python-pygame (>= 1.9.1~), python-opengl (>= 3.0.0), ttf-freefont, libjs-jquery, libjs-underscore Recommends: python-serial (>= 2.5~), python-numpy (>= 1.3.0~) Suggests: python-parallel (>= 0.2), python-pyxid Homepage: http://www.expyriment.org Priority: optional Section: science Filename: pool/main/p/python-expyriment/python-expyriment_0.7.0+git34-g55a4e7e-3~nd80+1+nd90+1_all.deb Size: 695880 SHA256: 0cd86f3708c27c1840b144158946a886c4c9f95be05b1e066841e2c1c8bb1a14 SHA1: bb870ded3d8999b7897d0952949260de3e7a4f0a MD5sum: 9c3064599b09b61824b028c8da226384 Description: Python library for cognitive and neuroscientific experiments Expyriment is a light-weight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments. The major goal is to provide a well-structured Python library for a script-based experiment development with a high priority on the readability of the resulting programme code. Due to the availability of an Android runtime environment, Expyriment is also suitable for the development of experiments running on tablet PCs or smart-phones. Package: python-fasteners Version: 0.12.0-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python-monotonic, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python-fasteners_0.12.0-3~nd90+1_all.deb Size: 14602 SHA256: 5d00e15715a3e2fe1f463bbb1d9dad8776c507aef7c29f80b1a8c3bdd9f332b8 SHA1: 3a7e59fdb16c9ec10841364e7a9aa2a7bf917556 MD5sum: 67d4d5fcd6ba6175fb6b142e4073b4e8 Description: provides useful locks - Python 2.7 Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 2.7 module. Package: python-filelock Version: 3.0.12-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python-filelock_3.0.12-1+nd1~nd90+1_all.deb Size: 8102 SHA256: fa3efd71dd45d5d00919199354230163e5393f8af139d42544b014179bcac7bc SHA1: 8c6dfda4683d0507ee2fc0d26b9459e42016e54c MD5sum: 6069fc81056261924120f74c577035c3 Description: platform independent file locking module (Python 2) This package contains a single module, which implements a platform independent file locking mechanism for Python. The lock includes a lock counter and is thread safe. This means, when locking the same lock object twice, it will not block. . This package installs the Python 2 version. Package: python-freenect Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 144 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, libc6 (>= 2.4), libfreenect0.5 (= 1:0.5.2+git6-g5455843+dfsg-1~nd90+1), libpython2.7 (>= 2.7) Suggests: python-matplotlib, python-opencv Provides: python2.7-freenect Homepage: http://openkinect.org/ Priority: extra Section: python Filename: pool/main/libf/libfreenect/python-freenect_0.5.2+git6-g5455843+dfsg-1~nd90+1_amd64.deb Size: 47612 SHA256: f71defcf8275cd3b6cba509c5d7c83804e59274d2f0e0c2f58e921ca7982c603 SHA1: a2df55a56a827819f8a16136c7af8d528cdbff74 MD5sum: e1e357b2d3fdf3add648166102436997 Description: library for accessing Kinect device -- Python bindings libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package provides freenect extension to use libfreenect functionality from Python and includes some demo scripts. Package: python-fsl Source: fslpy Version: 1.2.2-2~nd90+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~nd90+1_all.deb Size: 84250 SHA256: d481fd62d6ee4df838b11f248f9fa946a5c1cad6b5ddb3a553f0a6b26efe068d SHA1: b082cff8ed09295f39afd51e20f99f9d605388b9 MD5sum: 04ab843afeee3f9dab21653bf66e1b75 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~nd90+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~nd90+1_all.deb Size: 75334 SHA256: 860bbd9897d40afe5a0ccf3bf8254a20da26230bb113fcf6ea89c8390c30d40a SHA1: c638ec83b8df3216e69cd7d4dfa3f1c0681723c3 MD5sum: 2deba034c7f99f506cfc6a005a2323df 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 375 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~nd90+1_all.deb Size: 69006 SHA256: 179cc27d77da49dd40a801872f12a6115cdf696172a3c7921c618c1c0351d501 SHA1: c0878def7f064cccc2cb7b72105235622a1ef9df MD5sum: 30af329a248f050f7975d7d83f01aaee 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64 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_all.deb Size: 12994 SHA256: 6819a05f88076e1e5e0ad09d5491099eaed8d719298cd00361956bd56443cdb1 SHA1: 51ef19f3bb68506f11126a3f1c3cdfcabdcb06d4 MD5sum: 508cc525f9e316ee7000b9fcdec6205f 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 122 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://funcsigs.readthedocs.org Priority: optional Section: doc Filename: pool/main/p/python-funcsigs/python-funcsigs-doc_0.4-2~nd90+1_all.deb Size: 23728 SHA256: d9f4cbc5b1f3099bcdbca3e96cc06d6487ce60d91f39bb9b37b9cb772cc3537b SHA1: 422535a3f75e19f547a18c064bd7a2d6095008e4 MD5sum: 4f7ef3f227027cac50dabdb5b5e3f862 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1712 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_all.deb Size: 348400 SHA256: 07482bfed3626a9dddd770d8db61ff5c1ef148d1af33a27c79bcada7aaad1d30 SHA1: a9283aa0f1dcab1137b0ec8904daabbe6560d4c3 MD5sum: 3a9f05bf57a91be288cc8bd42e2ef4a3 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1887 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_all.deb Size: 319712 SHA256: 31effa5d59fca4cd0960b401bf1e5a88366656a98488afcdc43291fcccd7b108 SHA1: 01d0c23dca8a7b18893260980075932666105867 MD5sum: 4d646f0bc2c071a010f34c798cbed74e 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1654 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.1.8-1~nd90+1_all.deb Size: 303674 SHA256: 6cdc3421b01e141725349b25b3d532908f668b24d2bb190b2d0e12c2ef0e3314 SHA1: 187d23d8169f9ee36d0e2836d5afedbe6c1f400f MD5sum: 1c9f79d68d8371018363cead0a69cb3f Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 3.0.5-1~nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1022 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Breaks: python-git Replaces: python-git Multi-Arch: foreign Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_3.0.5-1~nd1~nd90+1_all.deb Size: 129624 SHA256: a7823ea12d2b62eb444e6c6650f986b4b812fea373756b0fa1b21cb21c9a9b05 SHA1: 8cdbb66aa6d1c3a731b4f32a34fc1069ea65a4c2 MD5sum: fe64fac68539bc57497dc60a199eb70d Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-gitdb Version: 2.0.6-1~nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python-smmap (>> 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python-gitdb_2.0.6-1~nd1~nd90+1_all.deb Size: 46956 SHA256: 6c28570a1bc1b058635ef94a692e9fcbe786f9c9db3ef41ebd17017ca10f834d SHA1: 1303251be0734e1d0da8f9490268e066aa44ae77 MD5sum: 36e83f6968f452d5c8d9c7ed9c861c3e Description: pure-Python git object database (Python 2) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package contains the Python 2.x module. Package: python-gitdb-dbgsym Source: python-gitdb Version: 0.6.4-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: python-gitdb (= 0.6.4-3~nd90+1) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: debug Filename: pool/main/p/python-gitdb/python-gitdb-dbgsym_0.6.4-3~nd90+1_amd64.deb Size: 24370 SHA256: 4d50d56ccb9359ad4948caabf82b37ba7e531e55efad763a7b79b0287163c7a8 SHA1: 1f80395e306c220982ca641f6ab754ad6100ccaa MD5sum: dc7c84ad459c177558837481b65f79f7 Description: Debug symbols for python-gitdb Auto-Built-Package: debug-symbols Build-Ids: 9d1990e423d2226c8fbe0249b47cd8d9b048365a Package: python-github Source: pygithub Version: 1.40-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 807 Depends: neurodebian-popularity-contest, python-jwt, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-pygithub Replaces: python-pygithub Provides: python-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python-github_1.40-1+nd1~nd90+1_all.deb Size: 55726 SHA256: 9b1b1813770f59e75854907c9a8f889751139fcaacc6bb72868e85a8bd553bc8 SHA1: 57911ba9a8e53452b72926e36a91063d9546448a MD5sum: 5285f249aae111466522c3a557e01c14 Description: Access to full Github API v3 from Python2 This is a Python2 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python-h5py Source: h5py Version: 2.7.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2700 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.14), libhdf5-100 Suggests: python-h5py-doc Homepage: http://www.h5py.org/ Priority: optional Section: python Filename: pool/main/h/h5py/python-h5py_2.7.1-2~nd90+1_amd64.deb Size: 635218 SHA256: bf60b114cbfe19f4bd5e7e09e6592a030b83cdcd20ca5f716f55ed7a68940b06 SHA1: 45f09069c7be3039a10e4ee370379c6babc7aed1 MD5sum: 979523550abe7af6949b3553903d163f Description: general-purpose Python interface to hdf5 (Python 2) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the modules for Python 2. Package: python-h5py-dbg Source: h5py Version: 2.7.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12607 Depends: neurodebian-popularity-contest, python-dbg (<< 2.8), python-dbg (>= 2.7~), python-dbg:any (<< 2.8), python-dbg:any (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, libc6 (>= 2.14), libhdf5-100, python-h5py (= 2.7.1-2~nd90+1), python-numpy-dbg Homepage: http://www.h5py.org/ Priority: extra Section: debug Filename: pool/main/h/h5py/python-h5py-dbg_2.7.1-2~nd90+1_amd64.deb Size: 4163936 SHA256: 5d2059617a4b267b90fce379dbf393b2d852a2fd9ff9a0572a17151beb72f329 SHA1: 15fea32dbbbb1a58dced84bc794b33a62ec0a3da MD5sum: e27fb8e313371293bceb1a098a232bfb Description: debug extensions for h5py (Python 2) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the debug extensions for Python 2. 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HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the documentation. Package: python-httpretty Version: 0.8.14-1~nd90+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~nd90+1_all.deb Size: 20968 SHA256: c2d059678bf80a175e9f2fcfcedb3ac557e32b5f61cbb922081fb92e7c257ed5 SHA1: dd0012294bd1ec35e52fd386958e86bc3cb54976 MD5sum: 342a131829b977d607c5b2aae602b7a0 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 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_all.deb Size: 12952 SHA256: 258fbf845777c01e6ddb4bcba4e5983c82248711fdd9c67970c1b69215bd9b85 SHA1: d9d3b3067bbb56e31873d92a313462d862e016d3 MD5sum: 1ece0e916f32fe2b842370b94869f266 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, python-enum34, python-attr, python-coverage, python:any (<< 2.8), python:any (>= 2.7.5-5~) 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~nd90+1_all.deb Size: 161734 SHA256: 4c7e6275517e5be841ffe7255063195ec0257c9f08a10ed3d4d3523ea3681f3b SHA1: 9ae1e4a7a5b53436f83603271ce07d7425349b18 MD5sum: 973d0f03bc8b99fb530457a17bdb34f5 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1123 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~nd90+1_all.deb Size: 187278 SHA256: cdb27aab50eefc089b47f16853b4e1c15b99376875d984a559a6cb993b91a53c SHA1: afd124895a8f4104e88c578782f9e7ba11f96e84 MD5sum: b5893ec400383782529b038940072daa 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1204 Depends: neurodebian-popularity-contest, cython, python-numpy (>= 1:1.10.0~b1), libc6 (>= 2.14), 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~nd90+1_amd64.deb Size: 362040 SHA256: 22bc8fd509ea9bb571f98d744a8d5949aca9877e68a601e94f7b306aa2908176 SHA1: 99fc6a7d572bd99a0e00c0ebfd9cd2f22de723c5 MD5sum: 620188bdfe8ecc04c22390fcc63caeb7 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-indexed-gzip-dbgsym Source: indexed-gzip Version: 0.8.6-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 979 Depends: python-indexed-gzip (= 0.8.6-1~nd90+1) Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: extra Section: debug Filename: pool/main/i/indexed-gzip/python-indexed-gzip-dbgsym_0.8.6-1~nd90+1_amd64.deb Size: 871746 SHA256: f86ef024fade6bcfd6344bb59c8050cd5a173176f38c6b4bf73c9e604c822b7e SHA1: 26778929199873636b7137f2f2aaae077984a6e6 MD5sum: 1debae07ec46a1bff861fe7d17c94b51 Description: Debug symbols for python-indexed-gzip Build-Ids: 337b15d7b50277d68693e8125a2132e3b1ebc00b 395e6f8c95d1a16809c8762cce7dfd4f1d60ecab d13af40f00e3b8f8b503b3d0abc788b1cd1b4102 Package: python-jdcal Source: jdcal Version: 1.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python-jdcal_1.0-1~nd80+1+nd90+1_all.deb Size: 7716 SHA256: fa7278a583fb30f2c0f244e46d4176c125e058cfb9440bf00988b098091dfb52 SHA1: c46cec73f8ed98b465cc051e97390f4996bce87b MD5sum: e67938a52dc086acbbea4f392b75b962 Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python-joblib Source: joblib Version: 0.13.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 875 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), procps Recommends: python-numpy, python-pytest, python-simplejson, python-lz4, python-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.13.2-1~nd90+1_all.deb Size: 192702 SHA256: 3960df6217d77f1d75b84c67253d56fc4d5607f3f944f401e3784e5b34f8a56d SHA1: 18fad2ca5056b1b5bb057abd469e8dcb91e31ac0 MD5sum: f16dd5d89533539badea96ba62ada138 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 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_all.deb Size: 21504 SHA256: 76b9e72c48d8c7041f4486fc61d71ca5aa5601ce66d2b2617e5e2e25e5466307 SHA1: 20302805c177427d896970c224ad475d07dec9be MD5sum: a64d8dd7ca38342a2a75c81400807c15 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~nd90+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~nd90+1_all.deb Size: 24536 SHA256: 1a894c160b837da6507970a876c684a98c0472de6e8a97256c624809924e4c58 SHA1: a408416711108080e3f0816dd95670345b9a8637 MD5sum: 1bc82b1a3c42b6c1c6e0e4bd01edee28 Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python2 module. Package: python-lazyarray Source: lazyarray Version: 0.1.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy Homepage: http://bitbucket.org/apdavison/lazyarray/ Priority: optional Section: python Filename: pool/main/l/lazyarray/python-lazyarray_0.1.0-1~nd70+1+nd90+1_all.deb Size: 6898 SHA256: 64177357eee6f7ee78eb01dda91c6727c789370851c697165f8153dc784b557c SHA1: 91e0a31cda5c95c4bf1c97a8c20c47db3f00e5af MD5sum: 7441821b3bd04e06759e8a26db5429a7 Description: Python module providing a NumPy-compatible lazily-evaluated array The 'larray' class is a NumPy-compatible numerical array where operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Consequently, use of an 'larray' can potentially save considerable computation time and memory in cases where arrays are used conditionally, or only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array). Package: python-lda Source: lda Version: 1.0.2-9~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1263 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python-lda_1.0.2-9~nd80+1+nd90+1_amd64.deb Size: 234774 SHA256: 100b2489129eeb87dbdee228d7c788fe3fef0a7c8fdf1580586356603219f91e SHA1: 18c43c45cfee75ac7b198a61428c17a021c7c358 MD5sum: 8d8c9e8a7cb58fba4bc11e691fbc9b44 Description: Topic modeling with latent Dirichlet allocation for Python 3 lda implements latent Dirichlet allocation (LDA) using collapsed Gibbs sampling. . This package contains the Python 2.7 module. Package: python-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python-tz, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python-libxmp_2.0.1+git20140309.5437b0a-4~nd90+1_all.deb Size: 24360 SHA256: 4ddc0fc1e9f11e924d99ddd6b86476742efdfd4991c5b44d7d609794ce07fc8b SHA1: 6677d713e88ca561c7b7875e22cdc821dd120934 MD5sum: d36969a167aea1e1939ed57caf22c8ad 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 249 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~nd90+1_all.deb Size: 40678 SHA256: d19d7071a7d293ed000b99236fa208959b82fb3e7d7c1ced60d7c9ebed3f51b2 SHA1: 0629bee9cfa5ecd8451d06a7f35d1f2b21054b55 MD5sum: 18a10f08a3c637326c1854fe5575bf70 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-mdp Source: mdp Version: 3.5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1391 Depends: neurodebian-popularity-contest, python-future, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-pytest, python-scipy, python-libsvm, python-joblib, python-sklearn, python-pp Enhances: python-mvpa2 Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python-mdp_3.5-1~nd90+1_all.deb Size: 277566 SHA256: 4e2e0e0e69030e414855c5c81f7fffb899f3739e7fbdb858a75a8501ba1d225f SHA1: f9967df922702377f0089c8df9af016cb9a330cb MD5sum: 8a3c5afcf54c122b08c7d4b41cca5130 Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 2. Package: python-mne Version: 0.15.2+dfsg-2~nd90+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~nd90+1_all.deb Size: 4964976 SHA256: 38c4e2382cdc33b3a17007b3448dea6bf3203846f9627e133d7bd98b22d39d8c SHA1: 9e959487fcbab0ccddcb44730d3a8cafc6af7515 MD5sum: 776c701aa99d2bc02a89db64c79d59a8 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~nd90+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~nd90+1_all.deb Size: 5432 SHA256: 3d4499e9aacad9fcba0fd681e85192ee47213cf9a75c04f9a10f14602d0ae44e SHA1: 964b9d2ee05c6d24cb8ae8555ec468b25f05e7a1 MD5sum: 5beab71ad306d7fd932eaccbcf55bbe5 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-mpi4py Source: mpi4py Version: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1466 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.10, python (>= 2.7), python (<< 2.8), mpi-default-bin Suggests: python-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py_2.0.0-1~nd90+1_amd64.deb Size: 341022 SHA256: 6de1a2082893dc286519dd2151376da9fc3a423555358045b432d91771e40b67 SHA1: 4eac798e9a82c6fcf36cd9e943227b1ed26d0dcb MD5sum: 288ed38297b5cdc090ccaf18c1f3a009 Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python-mpi4py-dbg Source: mpi4py Version: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5694 Depends: neurodebian-popularity-contest, python-mpi4py (= 2.0.0-1~nd90+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python-mpi4py-dbg_2.0.0-1~nd90+1_amd64.deb Size: 1040594 SHA256: 22443d324b786fddb6cad7731b4bcf6575ac39de332729df6c69ec1088983254 SHA1: d13de6d607d33672d596119f277b5cbfef067003 MD5sum: 5bd61dc8bedc421e7f3091bcf1ec6032 Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python-mpi4py-doc Source: mpi4py Version: 2.0.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 318 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Suggests: python-mpi4py Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: doc Filename: pool/main/m/mpi4py/python-mpi4py-doc_2.0.0-1~nd90+1_all.deb Size: 55420 SHA256: 90022b1d2b6f29244d82401a44b75ed326d56104d17f91c091a9479974497879 SHA1: 828119647eba12d56b281921fc2dbe95624b6f95 MD5sum: 8b30e6af5ec64d0be639dd8bbda8ed39 Description: bindings of the MPI standard -- documentation MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides HTML rendering of the user's manual. Package: python-msgpack Source: msgpack-python Version: 0.4.8-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 236 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) 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~nd90+1_amd64.deb Size: 68840 SHA256: 069ba83a0c26e447c23e8634d8133205573ddd32786732d3585c3ea6da3d986e SHA1: c3ca4108fa52defeb7cbf70ecf46a5520bcfe7ed MD5sum: 597d3317e20c43f48c8b97509c4a31e2 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-msgpack-dbgsym Source: msgpack-python Version: 0.4.8-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 208 Depends: python-msgpack (= 0.4.8-1~nd90+1) Homepage: https://pypi.python.org/pypi/msgpack-python/ Priority: extra Section: debug Filename: pool/main/m/msgpack-python/python-msgpack-dbgsym_0.4.8-1~nd90+1_amd64.deb Size: 167420 SHA256: 008d6e06f7b7df83b1f1403a952924480a91343fd5607b81f2ef31404b89f766 SHA1: c365c8499afcc3df654f77eac10a22245a8c9b87 MD5sum: e191881eca268c6f4b98586c9ce37585 Description: Debug symbols for python-msgpack Build-Ids: 7d036c8297ebdb1a77d7dd6456ae5f57f4482f1d 99f9fa7e518600153412eb77b908d8e0bd7b7d58 Package: python-mutagen Source: mutagen Version: 1.38-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 673 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python-mutagen_1.38-1+nd1~nd90+1_all.deb Size: 138154 SHA256: 23c75ad67d47c74d1fc7d2e1844747672c3ced3b8f9a213c11511d413ba4b0ee SHA1: f9df91b4b8bcc52cf4c4695e88c852ddafbd83d8 MD5sum: 41fdf6b2a521801b100466de827ef03b Description: audio metadata editing library Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. Package: python-mutagen-doc Source: mutagen Version: 1.38-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 965 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Recommends: python-mutagen Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: doc Filename: pool/main/m/mutagen/python-mutagen-doc_1.38-1+nd1~nd90+1_all.deb Size: 124378 SHA256: b1aab1002a944174600de14106120f0bb00e533719e2b390dfa9ee07284bf189 SHA1: a3d79fbeab2e8cc7800d4b86e6ddd17317fb19bc MD5sum: 7add11eae2c63d472fd53ee86b58b8b1 Description: audio metadata editing library - documentation Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package provides documentation for the mutagen package. Package: python-mvpa2 Source: pymvpa2 Version: 2.6.5-1~nd90+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~nd90+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~nd90+1_all.deb Size: 5108176 SHA256: 674c5b056f43a8f5acbece2322bf8c387cea10298ccc6e34e99439e76bebc62f SHA1: 1a9904b9df0ad942ffd472d6bcbe690bc8d2f0fb MD5sum: 173f5cdc4e76cc2156b83a6126552948 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36522 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~nd90+1_all.deb Size: 4698278 SHA256: 39af2095b0799d1f77e179681c6838f0e5c9641eb8e914233a1929c8dad6cecf SHA1: 4e3c968f61bee39e3f5bb83e398a6b9b26dfe798 MD5sum: d2cb62a2f8857ff58ebad4625143fec5 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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~nd90+1_amd64.deb Size: 52102 SHA256: f493a9cdec0b341e3e7438696ff0a3b5cd10fe88a1084e11c560d7406845e24d SHA1: d568218a3ccbfe07fa37e2ec81f4e1af5365c70b MD5sum: 6c2302dab5c07f1e766ef717bdc65341 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-mvpa2-lib-dbgsym Source: pymvpa2 Version: 2.6.5-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 120 Depends: python-mvpa2-lib (= 2.6.5-1~nd90+1) Homepage: http://www.pymvpa.org Priority: extra Section: debug Filename: pool/main/p/pymvpa2/python-mvpa2-lib-dbgsym_2.6.5-1~nd90+1_amd64.deb Size: 91054 SHA256: bc3c9bb5a6c431db5d56b7d3bc48a431b0b99ee654d30dbb7dc3602e5de29e35 SHA1: c3d06297d28a61bf7bcd22751f6849b8dd6bdac6 MD5sum: eca6d8b4816329183fc228fec6247bbb Description: Debug symbols for python-mvpa2-lib Build-Ids: aa1124632e5aaf61ade2fbdd8c1dddc22f6abf2a de06b201636069a27c0751654b1211b3279e8464 Python-Version: 2.7 Package: python-neo Source: neo Version: 0.3.3-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2974 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy (>= 1:1.3~), python-quantities (>= 0.9.0~) Recommends: python-scipy (>= 0.8~), python-tables (>= 2.2~), libjs-jquery, libjs-underscore Suggests: python-nose Homepage: http://neuralensemble.org/trac/neo Priority: extra Section: python Filename: pool/main/n/neo/python-neo_0.3.3-1~nd80+1+nd90+1_all.deb Size: 1383640 SHA256: 7e3b8dcf1a6e7c971437d744c5bb781a34c6272677f9760fd74d262f0f7e12b1 SHA1: 8c96c831525d26230be96771de115c7f2cb574d8 MD5sum: a1c098adc1493d4cd4f12a7c564a5508 Description: Python IO library for electrophysiological data formats NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples. . NEO offers support for reading data from numerous proprietary file formats (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well as support common file formats, such as HDF5 with Neo-structured content (NeoHDF5, NeoMatlab). . Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare replacement. Package: python-neuroshare Version: 0.9.2-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 81 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.8.0), python-numpy-abi9, python:any (>= 2.7.5-5~), python-h5py Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: python Filename: pool/main/p/python-neuroshare/python-neuroshare_0.9.2-1~nd80+1+nd90+1_amd64.deb Size: 20390 SHA256: bad477da56ef5ec21ee268265e6be7ffaa45510f6168a058aa27850b1daae01f SHA1: 0087a3e6096acd35caedd071818259276d40efa8 MD5sum: fa6c0efecb7f3ef826d10968f06488c9 Description: Python interface and tools for Neuroshare The Neuroshare API is a standardized interface to access electrophysiology data stored in various different file formats. To do so, it uses format- specific shared libraries. . This package provides a high-level Python interface to the Neuroshare API that focuses on convenience for the user and enables access to all available metadata and data. The data is returned in NumPy arrays, which provides a quick route to further examination and analysis. . In addition, this package contains the ns2hdf converter tool that converts neuroshare-compatible files into the HDF5 (Hierarchical Data Format, ver. 5) file format. Package: python-neuroshare-doc Source: python-neuroshare Version: 0.9.2-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 271 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: doc Filename: pool/main/p/python-neuroshare/python-neuroshare-doc_0.9.2-1~nd80+1+nd90+1_all.deb Size: 95554 SHA256: 2ce47764501482655bdadd0c5e71fb26ef3652e141cc6f493fa897afaec80e93 SHA1: ec00e3c7a84c81e3a4a3eae42b249b0aeb16078e MD5sum: 02d7853bc814b8e6df159b51b2685b81 Description: Python interface and tools for Neuroshare The Neuroshare API is a standardized interface to access electrophysiology data stored in various different file formats. To do so, it uses format- specific shared libraries. . This package provides a high-level Python interface to the Neuroshare API that focuses on convenience for the user and enables access to all available metadata and data. The data is returned in NumPy arrays, which provides a quick route to further examination and analysis. . In addition, this package contains the ns2hdf converter tool that converts neuroshare-compatible files into the HDF5 (Hierarchical Data Format, ver. 5) file format. . This package contains HTML documentation files for python-neuroshare. Package: python-nibabel Source: nibabel Version: 2.5.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65853 Depends: neurodebian-popularity-contest, python-bz2file, python-numpy, python-six (>= 1.3), python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc, python-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.5.1-1~nd90+1_all.deb Size: 2667270 SHA256: 40404d6343bdbb4715cb4fe68eea59c6cc0e15a671a5c1a932909a95270d16aa SHA1: 4f406bfe89ea49633fb6d7adb7427502a74bb1e7 MD5sum: 713179dad1fcc4f96e1e21c407ce04cd Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.5.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9268 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.5.1-1~nd90+1_all.deb Size: 1698662 SHA256: 6ebb62bfd9e523ba62fdfa5eeed6fc89e3ba99711b7210306b98b03066eac0e9 SHA1: 6db1bc6c534055c8d530aca8ce707477c86c737e MD5sum: 0a3c7d5c0d30026355c32a5127493433 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-nifti Source: pynifti Version: 0.20100607.1-4~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1146 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libnifti2, python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy, libjs-jquery Provides: python2.7-nifti Homepage: http://niftilib.sourceforge.net/pynifti/ Priority: optional Section: python Filename: pool/main/p/pynifti/python-nifti_0.20100607.1-4~nd70+1+nd90+1_amd64.deb Size: 255844 SHA256: 607400a63d5da5dee02f7ae9e44ed99bb10584f98c7a3d4791b49732058b2fd5 SHA1: 08dd50eb26bdfe852bbdaf379f6ff4eee680583a MD5sum: 9cdf9e272ee6597ff1355e105666bef0 Description: Python interface to the NIfTI I/O libraries Using PyNIfTI one can easily read and write NIfTI and ANALYZE images from within Python. The NiftiImage class provides Python-style access to the full header information. Image data is made available via NumPy arrays. Python-Version: 2.7 Package: python-nilearn Source: nilearn Version: 0.2.5~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2422 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.6), python-nibabel (>= 1.1.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy (>= 0.9), python-sklearn (>= 0.12.1) Recommends: python-matplotlib Provides: python2.7-nilearn Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python-nilearn_0.2.5~dfsg.1-1~nd90+1_all.deb Size: 730970 SHA256: cdacd3f8857e30e08add6b1a8c317c02b2446fdf39be9ac68ec19560f868fd63 SHA1: 3ea915f29eeeaf1eb21a8c7fb1a1f6d16fbb617c MD5sum: e4d4a05c9bf06a364f19a566288f4d32 Description: fast and easy statistical learning on neuroimaging data (Python 2) This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. . This package provides the Python 2 version. Python-Version: 2.7 Package: python-nipy Source: nipy Version: 0.4.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3548 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~nd90+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~nd90+1_all.deb Size: 784776 SHA256: f21c7998d061afbd46a358ec9c47b41f34f24fd9fb8a3c65248c1d9d4c13842a SHA1: 36a2c211a462cb37de1af8114ca66cb5bc6bd64a MD5sum: 922eeb7d3bd68f222ca50244f02329fc 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9354 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~nd90+1_all.deb Size: 1866612 SHA256: a2c341a11bf729bd4ace561bc8cf9f09f199d182bbdfd311e5fcd4974c104c22 SHA1: 3761f5592bd0448f0bfc1b5d1ce7849b62b03872 MD5sum: 976a78dea7259c3d1b2126d233ed3ee5 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2744 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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~nd90+1_amd64.deb Size: 666474 SHA256: a45880ec98fe00a379b9a3a636f0d660ef9fde0359b3abf136e8cbe542981295 SHA1: be80c4ed08d6cb906bbca2d80e3ce1feda6ae258 MD5sum: 3e45e64dd655c6edfe0da8a3d076cb81 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2917 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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~nd90+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~nd90+1_amd64.deb Size: 730850 SHA256: 84e5f18ada4493599c11f8c224536d59d75f244c23a3924f5b4a376d6c5f7c55 SHA1: 119c0dad8d551d5640809d7273a22a466cc679d8 MD5sum: c5334e3bf61c193379581dab2a57f059 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-nipy-lib-dbg-dbgsym Source: nipy Version: 0.4.2-2~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2580 Depends: python-nipy-lib-dbg (= 0.4.2-2~nd90+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg-dbgsym_0.4.2-2~nd90+1_amd64.deb Size: 2195170 SHA256: bb23a8879219a546cb1fbb5df99532ad5d2ef0bd655111903e8fea1feacd446a SHA1: 7ffb970e960001a510832c8956cc750643bc08ca MD5sum: d7fb61752dfa28a17081801cc95ac5fc Description: Debug symbols for python-nipy-lib-dbg Build-Ids: 2aad79010bfb4def85034d5b62f74f567a1f3deb 2c72019e8ccf0607e4d867e914bfafc1de825c02 40346e44a45f859a57334ae0e7321aebef935190 5a0ad0e65e0fb53fc4e466e8f690b64e10c8cc1b 76089341167aee993d798bfbc02e8ee16951e25a 8014d3dbbdee419cfacf25a978aefc2fa52a3688 90a15e1f6cbffa0262f94a63f0761e7fb4d2ac33 97d6eade684f386e1664260b20b0f0ff433d9fa6 bc400fdbd1c11387fac9a84c3f298054814adfdd da524014f0ecfe877f4c92335597d0762861292c e0987db1661eb198b87a714b2dd32da4225f0351 e22bcd3a715bf0609340aba2f7e2457b79b89f27 f8284b713e97f4f268000493ec7942d81740c343 fcddff8b877d20a2838b43d85ec0f006d453cbd7 Python-Version: 2.7 Package: python-nipy-lib-dbgsym Source: nipy Version: 0.4.2-2~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2449 Depends: python-nipy-lib (= 0.4.2-2~nd90+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbgsym_0.4.2-2~nd90+1_amd64.deb Size: 2066778 SHA256: e054b3a6925402123e1b6fcd2c8543c57413f1be03a4ef0f688109d09c4496e3 SHA1: b36c4b294e6e556dd4e3fe78dc578a6c310271a9 MD5sum: 22c8e53da99900e892332b1317ec653a Description: Debug symbols for python-nipy-lib Build-Ids: 001e77147ff244071755288645ba12aa0cdb5720 04f2db495658106035a5a467084e02d7ed0a5289 2ce6c0249c7677c67ffb749b0cade2b6bb80fb4e 83eacd6868e4bc8de41bb0f0fa2ad47c174e24d7 96a0d8fdb70726ca2feace449df5703697cf6fe4 98c14bcaf484b10fe16a42543c605247a62b3afc a2ab9b15caad43fd183c7aac0cf0db9fae0c8cd5 aaf4cbfacf97488b3c9d2e3bba9ea9dddfb7d971 c462249a63aeb066db15efce3c908686a47b4272 c5b98c02f74539e138aa4ad709c9258d0b39397d ce556e8823eaeca58ed25fc69e3d288b996eeefd cfbf3f69a2c4cb6e49dd3fc8462dbec9f1f94f40 e85ac203746ef278e0ffe831e631a90b4a0633d5 ecb062e682e48d9d7ab5b2e05c34b3a41551d232 Python-Version: 2.7 Package: python-nipype Source: nipype Version: 1.1.9-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10996 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-concurrent.futures, python-configparser, python-dateutil (>= 2.2), python-funcsigs, python-future, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-scipy, python-simplejson, python-traits, python:any (>= 2.6.6-7~), python-traits (>= 4.5.0) | python-traits4 (>= 4.5.0), python-psutil Recommends: ipython, python-pytest, graphviz, python-xvfbwrapper, mayavi2, python-mock, python-pydotplus, python-pydot, python-cfflib Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants, python-pytest-xdist, python-bids Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_1.1.9-1~nd90+1_all.deb Size: 1899574 SHA256: 79d2d7e0324b2110ea292dd867249e623656c49f66df108bd9f4754a6a25eda2 SHA1: 78c82cdefe8cba6e04a3eb3d63c58a75bfa5e6a8 MD5sum: 3caaae84779ab7799fe7a0337fc0b9df Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 1.1.9-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38642 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.1.9-1~nd90+1_all.deb Size: 17566414 SHA256: e4009b4114b0576f09606f161a100041cb6af9c679d7d08b60816d3e4c1ec67e SHA1: b0defd8b619ad5450193bd0fbc437183bcacebf4 MD5sum: 0b9321d0efd3456c4189f0550641ea21 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 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_all.deb Size: 2541578 SHA256: a4f115af35854dac381881783cc9ebfd93a0f027f10732a661e7acbabaf599c0 SHA1: 0d2f82c0a6dae42dfa180f111e8adce3a2e2de3a MD5sum: 2a48c69fa2a7f2fe9c641043d3bb20f0 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6913 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_all.deb Size: 4823226 SHA256: 0c89c6cad18d374ab68adfe1a86c590c2d5b6915f3bfb217371828438ae2d3cd SHA1: 710ef4c80450764e923b2f23dd36f9453708e5bf MD5sum: 66370a3998374943a6c2a326fe6cc192 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-nlopt Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 280 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Provides: python2.7-nlopt Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: python Filename: pool/main/n/nlopt/python-nlopt_2.4.1+dfsg-1~nd80+1+nd90+1_amd64.deb Size: 69622 SHA256: 1a15145522f4ed4a1454e64ef88087d4bfb3e7882de6bcbbab9c1c3aa94edeae SHA1: 24913b57150c4993662acc989c5aec3259de0b1e MD5sum: b4750cc9fdd15fb892b8faa6698810e6 Description: nonlinear optimization library -- Python bindings NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the Python bindings. Package: python-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python-nosexcover_1.0.10-2~nd90+1_all.deb Size: 5124 SHA256: 0690e2f53e965d973b5427bf4a5dfb5199bb9868e33fb2ceefff034936546db0 SHA1: fd93ee50ff6d54caef0722f9db35460dc06d145a MD5sum: 56644cbe0eef91d6c280ff1ffe1479b4 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 421 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 (>= 2.14), libgcc1 (>= 1:3.0), 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~nd90+1_amd64.deb Size: 143402 SHA256: 41e9dfbafc97a885e4a4d671e4d3b94951213422ebb92bb99487f4250f03bd8f SHA1: af992194bdcaa2c8cb92233954ff1e66e80086a5 MD5sum: 43e374d602c713111dd6cd5f648d4d36 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-numexpr-dbg Source: numexpr Version: 2.6.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 287 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7~), python-dbg:any (<< 2.8), python-dbg:any (>= 2.7~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python-numexpr (= 2.6.1-2~nd90+1), python-numpy-dbg Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbg_2.6.1-2~nd90+1_amd64.deb Size: 110916 SHA256: 03cea978061770e0ccc2f35e1d23e7c761325914cf3de41ac31dad0f52897820 SHA1: 9040005518349861d372675a35bee127119932d3 MD5sum: 16ef36e0cdc16189094a128c3d466606 Description: Fast numerical array expression evaluator for Python and NumPy (debug ext) 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 the extension built for the Python 2 debug interpreter. Package: python-numexpr-dbg-dbgsym Source: numexpr Version: 2.6.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 235 Depends: python-numexpr-dbg (= 2.6.1-2~nd90+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbg-dbgsym_2.6.1-2~nd90+1_amd64.deb Size: 217144 SHA256: 92dda530573ecf848c1223e815d4fb97597261fd2c844d94af8605957a4a63ca SHA1: 5e1e6c0868b85cfc8de2ff14df078a5de04d2b22 MD5sum: 0d894a8cdb44a33bbc8ea99d6ff31c6d Description: Debug symbols for python-numexpr-dbg Auto-Built-Package: debug-symbols Build-Ids: fe38c82c0e0a0f21335f4238dee75138fc9f3c0f Package: python-numexpr-dbgsym Source: numexpr Version: 2.6.2-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 235 Depends: python-numexpr (= 2.6.2-1~nd90+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbgsym_2.6.2-1~nd90+1_amd64.deb Size: 217706 SHA256: 8cd6ab77994c67c69cc4fc648931124dad666aa2421d537462486c3050ec4837 SHA1: 40557601139969a8f93d0a493a5b88e68da67365 MD5sum: 3c918f9b62748c0e15bf1d79e0470a2a Description: Debug symbols for python-numexpr Build-Ids: 820b29903cc163ef94397abe35fd544d30ccfa3c Package: python-openopt Source: openopt Version: 0.38+svn1589-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1065 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy Recommends: python-scipy, python-cvxopt, python-matplotlib, python-setproctitle Suggests: lp-solve Conflicts: python-scikits-openopt Replaces: python-scikits-openopt Provides: python2.7-openopt Homepage: http://www.openopt.org Priority: extra Section: python Filename: pool/main/o/openopt/python-openopt_0.38+svn1589-1~nd70+1+nd90+1_all.deb Size: 179826 SHA256: e289031fd70e3234dd9bf775fda6ce9332235b63580fc3f21d95f5bf7d2ae59d SHA1: 0b6e1f2a56ea52c4ec110effc58bdb067c8a9887 MD5sum: bdffb8b3128e6731bf3a3af978b2667b Description: Python module for numerical optimization Numerical optimization framework developed in Python which provides connections to lots of solvers with easy and unified OpenOpt syntax. Problems which can be tackled with OpenOpt * Linear Problem (LP) * Mixed-Integer Linear Problem (MILP) * Quadratic Problem (QP) * Non-Linear Problem (NLP) * Non-Smooth Problem (NSP) * Non-Linear Solve Problem (NLSP) * Least Squares Problem (LSP) * Linear Least Squares Problem (LLSP) * Mini-Max Problem (MMP) * Global Problem (GLP) . A variety of solvers is available (e.g. IPOPT, ALGENCAN). Python-Version: 2.7 Package: python-openpyxl Source: openpyxl Version: 2.4.9-1~nd90+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~nd90+1_all.deb Size: 221724 SHA256: 57dc4749ea8cbc88647a2524cab314eb20a07074088d4bc6272a7a4b815b2ef7 SHA1: 0bc22cbaa3523634b205cfbde3af752785517b10 MD5sum: 330594b78b8432bd0b53c911f000f12a 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 85 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_all.deb Size: 17204 SHA256: d00371df4d5a73963138386d93de0bafa8cb2722c0851f7694c249f7fbaa76df SHA1: efb06ae7d0a596e847ce8e9930a285b61a68efcc MD5sum: 95b08012df65ef3a2f60e3502382bd7b 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: 0.22.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26941 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 (>= 0.22.0-2~nd90+1), python-pkg-resources, python-six Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib, python-lxml Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.22.0-2~nd90+1_all.deb Size: 2779416 SHA256: 9610a3bf9db07f047c687694531a9cca62099359d25bbbe012932955fc59eddd SHA1: 6daaf3cd73dcaf66514d68beba53768496c0c50b MD5sum: e92d474c4b9a2789dc51ad8f7fcfca22 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: 0.22.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59430 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Suggests: python-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: doc Filename: pool/main/p/pandas/python-pandas-doc_0.22.0-2~nd90+1_all.deb Size: 5573980 SHA256: 7281f4154a6e7fb2f65d02127bf5aacd55eea9d9e691d31af7a9c6cc2cad34b9 SHA1: 8b173f3df7a4e29a14dd3b5832cf8acae4e50aff MD5sum: 904965db1d300c8fac09c5da450d144d Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-pandas-lib Source: pandas Version: 0.22.0-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 13158 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7) Provides: python2.7-pandas-lib Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.22.0-2~nd90+1_amd64.deb Size: 3034262 SHA256: d551bf6007443ed54aed4d1646d51480706df7ddf56a880c5cd8821795e4fcce SHA1: 09d2b26ed8f4d636e604570a0225823f9fa86f66 MD5sum: aa741721367695153fc86608d853f85c 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-pandas-lib-dbgsym Source: pandas Version: 0.22.0-2~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12933 Depends: python-pandas-lib (= 0.22.0-2~nd90+1) Homepage: http://pandas.sourceforge.net Priority: extra Section: debug Filename: pool/main/p/pandas/python-pandas-lib-dbgsym_0.22.0-2~nd90+1_amd64.deb Size: 11638912 SHA256: f398286739a6541169b45b12d9f0e7e199e0ca224e743efb369e9cb0715f3bd5 SHA1: 06b3ba2451b8352d366ac37c6fe78b79a2c29695 MD5sum: caaf41f782dd8a7946e5d3f155a2b1b0 Description: Debug symbols for python-pandas-lib Build-Ids: 03339754d52e45de98600de999713eaf1dbeb7a4 2c23f1eff7e069b55a4b6ce0e979a0f2ac9d65b8 576556e50314d93ef61499760c6c4dfb43e542bd 5f97d58f7a6bbaba067ac005a14cce96ff8106bd 6481b1c648eb5db50a10de2fcd7de5ff6d3f6590 7b18e4b004a5b32de566eece55b076df19518087 7dc985eaef161e84fd431f20621b5ed6969ee8a9 83c5b78a40acaf96d460fa5ffc6a17414c5b097e 84f96c3155d22b62c77f852b4ea49bab9b1ebf18 854892314b2832539aeb6a2b7357b451788ff0f7 8a6c5c7bc469719e56f05b47f2fa92aba8d7edc7 9af64352a237aa31728d01b3b2f8b0dcdab89db1 9f5e75d4d4cab0c55f6b7d9404e221aded7df2ea a0f9e4daa811bcd5e924f02c3631f37bf35a9a93 a845bc1f4f6bd58826b00ddde039ef418b1f7755 a92a2857213164d75fe6a9421449062dc2bbd854 b1a3647264acdbec6c63ca9ad45f603e7298d802 c14700dff65e6d5605afd1584faaf4046608f95c c6fdd094e1bcfb5605c5ef862ff529ece07fc442 cc151478fdea8d6e0758e6c590f35887b4ca5626 d17747297ee2ed62c13e964a98439a24dfefe8c3 d9bb4c839b416194bdfe142a408fffcab2b027f0 e64613c1d3365bb92726c5a0cb1362f91d7b9b06 ee134cefaca7205bf25950f79c8bf77cb713a059 f0b6f3fca2b859ef433a307f550841fbe129dcb3 f2cc89696a0fc9081c78540032c99df5251af404 fb99326bf076a9a760ee882f559966ac0b5e6c50 Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 784 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-six, python:any (>= 2.6.6-7~) Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.5.0+git13-g54dcf7b-1~nd90+1_all.deb Size: 171758 SHA256: 6ac05f24430ccad2a915b4e1b0e94b0f8446cd4b6ddb92b8447857f9c553ec1e SHA1: b9c0ba24453463390c46918273526e3d4fb4f276 MD5sum: 6e51005644307d14062f170d746b8d21 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1073 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~nd90+1_all.deb Size: 238574 SHA256: 242cd324a8a25eccc39258d2111e0286930bb3923797f342878e664de8177ea4 SHA1: 8191cc0bbc7566b57403cf124a8649bf8889bc12 MD5sum: f644b0a77ac055cd463304e332924da8 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 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_all.deb Size: 141364 SHA256: 85ae24cd50ed92fdf65c36348158559c048a2d73fc46bb4ecce5f43d376e6560 SHA1: b35b615d96e1d173498317d88db017a3efabfc89 MD5sum: 2e9c768b5e36bdd4af1bbd37b574b00c 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-pp Source: parallelpython Version: 1.6.2-2~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 143 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Homepage: http://www.parallelpython.com/ Priority: optional Section: python Filename: pool/main/p/parallelpython/python-pp_1.6.2-2~nd70+1+nd90+1_all.deb Size: 28994 SHA256: 9d2b9bc5a9f1f2f7ab2c1f65d14edab85d349c71f7c32d5b03a8a84752927571 SHA1: 9a77e4793d44f572146a67eaa8af06f5e2be9bc4 MD5sum: 7b25f8fbdf69d07695113ddb51235f8d Description: parallel and distributed programming toolkit for Python Parallel Python module (pp) provides an easy and efficient way to create parallel-enabled applications for SMP computers and clusters. pp module features cross-platform portability and dynamic load balancing. Thus application written with PP will parallelize efficiently even on heterogeneous and multi-platform clusters (including clusters running other application with variable CPU loads). Python-Version: 2.7 Package: python-pprocess Source: pprocess Version: 0.5-2~nd90+1 Architecture: all Maintainer: NeuroDebian Team 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~nd90+1_all.deb Size: 83052 SHA256: 0c9933e7ef1993c38b3f1c28ba85cb462af12c36d286a668083cd2dafb97dcc4 SHA1: 8d386a338e6e686bfd7849a1cfef4d1a713e96e5 MD5sum: 711c9f8a004edd0a0e9e50aa582f417a 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 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_all.deb Size: 117296 SHA256: 8f9542c38da832e29d01b686c08de47fe34acca80a9170d99762fdb5a902f1d4 SHA1: 0dee84c93fdc7d6e81dca28530b4c1958a128d66 MD5sum: 0405beb611db04ddcc77e9c06318733e 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~nd90+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~nd90+1_all.deb Size: 100622 SHA256: 7f9bc91b1d9aafdf9937d3fd3758632be4e637d3a14378030edad18deacc8557 SHA1: 6ee7278cce31c2180f2af0172805d271b0a6af48 MD5sum: b8ce4a1154c535be961519eaaabecc88 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 958 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/trungdong/prov Priority: optional Section: doc Filename: pool/main/p/python-prov/python-prov-doc_1.5.0-1+nd1~nd90+1_all.deb Size: 76680 SHA256: d534176b4134d868e29ed8c93f23887c2e62683b7cba18298b71198e277e5dc7 SHA1: 3b8c2c24c292a1e9678bf3b08fe519481e11e877 MD5sum: 7a14ff97171671fa7c50e327d350f10d 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-psutil Version: 2.1.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 578 Depends: neurodebian-popularity-contest, libc6 (>= 2.13), python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~) Homepage: http://code.google.com/p/psutil/ Priority: optional Section: python Filename: pool/main/p/python-psutil/python-psutil_2.1.1-1~nd80+1+nd90+1_amd64.deb Size: 116422 SHA256: da25ec89414de2d7281bc68f122720912008cbf869b48fa64e91aeb4df02a4b2 SHA1: 5551e3ff4dbf156e1fb615c96cebf10eb3a1deb9 MD5sum: 52eda59b0d39c7b7a3954f47e6f4bdc9 Description: module providing convenience functions for managing processes psutil is a module providing an interface for retrieving information on running processes and system utilization (CPU, memory) in a portable way by using Python, implementing many functionalities offered by tools like ps, top and Windows task manager. . It currently supports Linux, OS X, FreeBSD and Windows. Package: python-py Version: 1.4.31-2~nd90+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_all.deb Size: 82202 SHA256: df2d0cab2503956a9d104bc43ec7714addb66d64fdc8149fb8257d7af8b02347 SHA1: 140a63aef16d99e1a670df6d6d5eb35eed88dd57 MD5sum: d27228a2ede59f4d8a7a55f2fcab5ccd 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~nd90+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~nd90+1_all.deb Size: 4397350 SHA256: d29049c9ccdc58f77bd0c640f80d38705e07f6ad1b9ee716853bee846e79bf99 SHA1: 2b707ccc64037dc7a82cd0b2fd77259fcfad0218 MD5sum: 3b9a8018870cb636991f561065ab3513 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2781 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~nd90+1_all.deb Size: 347458 SHA256: fa9d5156f0fee89dcee472b2a96a9a0412957aebf53265fb00da2a9eafdc7cd8 SHA1: 37b28bed15734bddf7f225950389dc98e58d0b8d MD5sum: 42e430d10b5c51158920c17dd09a0649 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, python-pyparsing (>= 2.0.1+dfsg1-1), python:any (<< 2.8), python:any (>= 2.7.5-5~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python-pydot_1.2.3-1.1~nd90+1_all.deb Size: 21940 SHA256: 826cf54340397c23d7b1846101457d619ec64bbeca20db0c203e2fdda5d454e2 SHA1: fdd7c8ff91273fa95cee457946ed94b4d669fea4 MD5sum: aceceaf50a87e2d55abfe916dfa47fa2 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~nd90+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~nd90+1_all.deb Size: 20330 SHA256: 55142ca53ac2cb48c251d23ba9b528e979b89e5ed4a9a3c653c49bc5a933161e SHA1: b7401849eb89809b704e299866d57645f454c278 MD5sum: ec98ee23dc59c3f1a49798ab44b871a2 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 533 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-pydotplus/python-pydotplus-doc_2.0.2-2~nd90+1_all.deb Size: 47724 SHA256: 0268ff2f9f37d3f2e787e816bc78dcb1b19b12fb781253da20fc8c025d67f0e8 SHA1: 22de3f26cadecd07198b7d52a61c7687856f7786 MD5sum: f60a74e3e9202b39eb290228d00a6c94 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-pyentropy Source: pyentropy Version: 0.4.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 91 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy (>= 1.3) Recommends: python-scipy Suggests: python-nose Provides: python2.7-pyentropy Homepage: http://code.google.com/p/pyentropy Priority: extra Section: python Filename: pool/main/p/pyentropy/python-pyentropy_0.4.1-1~nd70+1+nd90+1_all.deb Size: 19484 SHA256: 90a65872dff84dfdd9080faae4df963e355d03c4f5c818b6dee37ae7265c8dd5 SHA1: 41cee054cc47be20e73203718874a5aae00fc35e MD5sum: e90627411895dd8862ef69d2670d0968 Description: Python module for estimation information theoretic quantities A Python module for estimation of entropy and information theoretic quantities using cutting edge bias correction methods, such as * Panzeri-Treves (PT) * Quadratic Extrapolation (QE) * Nemenman-Shafee-Bialek (NSB) Python-Version: 2.7 Package: python-pyepl Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1431 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pyepl-common (= 1.1.0+git12-g365f8e3-2~nd80+1+nd90+1), python-numpy, python-imaging, python-pygame, python-pyode, python-opengl, ttf-dejavu, libasound2 (>= 1.0.16), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libode1, libsamplerate0 (>= 0.1.7), libsndfile1 (>= 1.0.20), libstdc++6 (>= 4.4.0) Conflicts: python2.3-pyepl, python2.4-pyepl Replaces: python2.3-pyepl, python2.4-pyepl Provides: python2.7-pyepl Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl_1.1.0+git12-g365f8e3-2~nd80+1+nd90+1_amd64.deb Size: 282850 SHA256: 4ed4c4e324c037fd6e610ae943fa63df738527b90e20fb12d47b74fd680632b3 SHA1: fc3bb2da13573adf7970ae32425db4e978706c85 MD5sum: f0195254ee081fdaf506f6b61f472e6a Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides PyEPL for supported versions of Python. Package: python-pyepl-common Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 822 Depends: neurodebian-popularity-contest, python Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl-common_1.1.0+git12-g365f8e3-2~nd80+1+nd90+1_all.deb Size: 819326 SHA256: 3bb7c4a8afd71f527affe1dc9fc35cc8767aebfb4a22ca35c975346202ccfd15 SHA1: b65162864b6ef1f6b6f21f3a81b7221a8d9f5e6f MD5sum: ae5bd1ef9c1dcee42bc9e64308126c62 Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides common files such as images. Package: python-pyglet Source: pyglet Version: 1.3.0-1~nd90+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~nd90+1_all.deb Size: 1423806 SHA256: 3bc8dd73a572ea604a6ec74d81d236642e5e35c193f01dcab9aedf242d65511b SHA1: c49558957845d36ee5195e86f4125b17d3398c67 MD5sum: 509acba6f4fb1321031b4b1e3db21a25 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 393 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.14), libcdt5, 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_amd64.deb Size: 74456 SHA256: e7fdd5006dad96903717f2a2b65f763e46a0aacca7aa94029e26d06052dbde94 SHA1: b2f5b68493992369008ee840581b271a1008c5a6 MD5sum: 40059dab8124fff71bbace89b5285fab 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 307 Depends: neurodebian-popularity-contest, python-pygraphviz (= 1.3.1-1~nd90+1), python-dbg, libc6 (>= 2.14), libcdt5, 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_amd64.deb Size: 113166 SHA256: ad52ac5c13f37b23663c1ca2bf4f88c2c71258c460658dfbdc7c32446230f6e9 SHA1: d3a2bf7943d83fb192956dc5586daa22ca947ada MD5sum: 02a61248afbcf90d079cbb4df835982f 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: f0c016e993a72f1914abdad634299b949d2383fd Package: python-pygraphviz-doc Source: python-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 316 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_all.deb Size: 68270 SHA256: ce0105e88b9f49e39f9a76e3ce1ab3dbd46ace0428352e9e5fd0e7f5fa312294 SHA1: 57d5c953c138c4d943639db0c49d1d5fd5b7e4aa MD5sum: b8164fbcc0bda1288c939d3ab19408f9 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-pymc Source: pymc Version: 2.3.4+ds-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2833 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, libblas3 | libblas.so.3, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.6), liblapack3 | liblapack.so.3, libquadmath0 (>= 4.6), python-scipy, python-matplotlib, python-nose Recommends: python-tables Suggests: python-pydot, ipython Homepage: http://pymc-devs.github.com/pymc/ Priority: extra Section: python Filename: pool/main/p/pymc/python-pymc_2.3.4+ds-1~nd80+1+nd90+1_amd64.deb Size: 590728 SHA256: 2e8fbca2ba9b0fabfc0889e8a3c6b649271e526551ba0069b187912e323aaa43 SHA1: 59c81cc6f281302d5e9378d82deb89dbf5db1d0c MD5sum: 71ad23b81a78ab3bc356eda15002749c Description: Bayesian statistical models and fitting algorithms PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics. Package: python-pymc-doc Source: pymc Version: 2.3.4+ds-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1894 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Homepage: http://pymc-devs.github.com/pymc/ Priority: extra Section: doc Filename: pool/main/p/pymc/python-pymc-doc_2.3.4+ds-1~nd80+1+nd90+1_all.deb Size: 839788 SHA256: af2ce4bafd9fe4585d82802881bc4a1ceb28e9076d529d7cc57ac90478281dd4 SHA1: 9f2d1b73a0c55bd49be8229926cc64a9e63a88e3 MD5sum: ad1e1963e2b23c06beb3c6fa20c513e1 Description: Bayesian statistical models and fitting algorithms PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics. . This package provides the documentation in HTML format. Package: python-pynn Source: pynn Version: 0.7.5-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 832 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Recommends: python-jinja2, python-cheetah Suggests: python-neuron, python-brian, python-csa Homepage: http://neuralensemble.org/trac/PyNN Priority: extra Section: python Filename: pool/main/p/pynn/python-pynn_0.7.5-1~nd70+1+nd90+1_all.deb Size: 137374 SHA256: 370ece10f2dd605fc721d1d7d7efb38db0d4c150a969f9a7788b0a18ac0d2eaf SHA1: a9207324cee6efc6f2830f3af2faa6a2a930d723 MD5sum: fe3284f568042b1fe19972884b23c76a Description: simulator-independent specification of neuronal network models PyNN allows for coding a model once and run it without modification on any simulator that PyNN supports (currently NEURON, NEST, PCSIM and Brian). PyNN translates standard cell-model names and parameter names into simulator-specific names. Package: python-pynwb Source: pynwb Version: 0.5.1-1~nd90+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~nd90+1_all.deb Size: 98246 SHA256: 1bed104fb3172d57ae47b615eafdaff907c37c5d97ac7205749f49d481a6545f SHA1: 8c65ec188a94255131a624b9121dd0ec7a9b5069 MD5sum: f6da1b111026f396933c1ff5b0a4869c 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~nd90+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~nd90+1_all.deb Size: 9430 SHA256: 2b5a18b0739a50c67b7753a4e6e4794ba7830187d94034315bd1fe546c336d06 SHA1: eb8786cd34b23fc1bcf5b34b1d811dfb48dc8ca4 MD5sum: 1ad53e237f64aa406de9420b6bbead6e 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-pypsignifit Source: psignifit3 Version: 3.0~beta.20120611.1-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1662 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy Homepage: http://psignifit.sourceforge.net Priority: extra Section: python Filename: pool/main/p/psignifit3/python-pypsignifit_3.0~beta.20120611.1-1~nd70+1+nd90+1_amd64.deb Size: 346934 SHA256: 9e4922c6adaabb4a8c3e46622ab2fe653fa9369169f19fa63673fd2f547d95a8 SHA1: ca894c0fbc553987398281c438eb653ea63c4b8e MD5sum: 65cc0e5c5e2029cda0c5946af3fa6cd4 Description: psychometric analysis of psychophysics data in Python Psignifit allows fitting of psychometric functions to datasets while maintaining full control over a large number of parameters. Psignifit performs the calculation of confidence intervals as well as goodness-of-fit tests. In addition it offers: . * full Bayesian treatment of psychometric functions including Bayesian model selection and goodness of fit assessment * identification of influential observations and outlier detection * flexible shape definition of the psychometric function . This package provides the Python bindings. Package: python-pytest Source: pytest Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 649 Depends: neurodebian-popularity-contest, python-pkg-resources, python-py (>= 1.4.29), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mock (>= 1.0.1) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python-pytest_3.0.4-1~nd90+1_all.deb Size: 181360 SHA256: c05fe93e82dd77732eb4db0a487c8e9292f866a314ebe6694ac0d55fea830386 SHA1: 4558ee533529915d739f7ea8bfff8086f21e5a08 MD5sum: 2c9ffd13186ec25ab4d1e799d4c1abca Description: Simple, powerful testing in Python This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the Python 2 modules and the py.test script. Package: python-pytest-doc Source: pytest Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4029 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-pytest | python3-pytest Homepage: http://pytest.org/ Priority: optional Section: doc Filename: pool/main/p/pytest/python-pytest-doc_3.0.4-1~nd90+1_all.deb Size: 668244 SHA256: aa542a508278b156b38e3b81aa6dc84c5e7de4fb0c5055fd289dae3d67fb5f32 SHA1: 8d47d22442d169d0e8b44abc8ceb4659269a5c6f MD5sum: a7c77fb8bddce0d8cc1f71eed6b55c1e Description: Simple, powerful testing in Python - Documentation This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package contains the documentation for pytest. Package: python-pytest-localserver Source: pytest-localserver Version: 0.3.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python-pytest, python-werkzeug (>= 0.10), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://pypi.python.org/pypi/pytest-localserver Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python-pytest-localserver_0.3.4-1~nd90+1_all.deb Size: 18152 SHA256: 09ff67eba0f36d2f5bb0a405300bd4aa4315eb9a75a9fac48fd57a187c9d64f0 SHA1: 71b04f6861c66ac85684d5c7f0b0d233a60ff8df MD5sum: db59b4614f943159b2537882aabd2474 Description: py.test plugin to test server connections locally (Python 2) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 2. Package: python-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 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_all.deb Size: 5658 SHA256: 2baad3999ed0fc99b2329ebc1285fb06d5a94d4dfec4d619613979b24eb68a26 SHA1: fbbac0c1dd798a073e540e8f99e02174beb1450b MD5sum: 374e5ad6bb5047154499315f47d46017 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-pyxid Source: pyxid Version: 1.0-1~nd+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Homepage: https://github.com/cedrus-opensource/pyxid Priority: optional Section: python Filename: pool/main/p/pyxid/python-pyxid_1.0-1~nd+1+nd90+1_all.deb Size: 10358 SHA256: e2db09bf0e002d89bb3690e59e5bc46747809822675915da6e28646cedddf5f2 SHA1: 431b7f4e71d4a33d6687832ccbef84848c4fd2bc MD5sum: 93daf5487203df271ed363dc65e968d0 Description: interface for Cedrus XID and StimTracker devices pyxid is a Python library for interfacing with Cedrus XID (eXperiment Interface Device) and StimTracker devices. XID devices are used in software such as SuperLab, Presentation, and ePrime for receiving input as part of stimulus/response testing experiments. . pyxid handles all of the low level device handling for XID devices in Python projects. Package: python-quantities Version: 0.10.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 321 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy (>= 1.4) Homepage: http://packages.python.org/quantities/ Priority: extra Section: python Filename: pool/main/p/python-quantities/python-quantities_0.10.1-1~nd70+1+nd90+1_all.deb Size: 51442 SHA256: bfacf89e8ba78fd59315adc47dd03899f4b4594354eafbb38bbe186128958b1a SHA1: 53773551206da3c1249b9d38cf0ee65a40b9d6c4 MD5sum: 5e0cd9e39a08b2233b4ede2ab7e5eb72 Description: Library for computation of physical quantities with units, based on numpy Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. Quantities builds on the popular numpy library and is designed to work with numpy ufuncs, many of which are already supported. Package: python-rdflib Source: rdflib Version: 4.2.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1255 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~nd90+1_all.deb Size: 253352 SHA256: 4c98df678e39141d133be9b61478d408b332900b2c129a133c1a29d96879f2eb SHA1: d31a29f90054a56e3aa36f88aa2c321dceda6144 MD5sum: de52958f1724266e32b9a3d7443873ad 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8178 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.4.9-2) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: doc Filename: pool/main/r/rdflib/python-rdflib-doc_4.2.1-2~nd90+1_all.deb Size: 604490 SHA256: c7a2095ff7343872a7bf587d0f287b489d3669b4559435251d0a0aaa92250e0e SHA1: 4d441e8b07debd6295fd3efd083571875b422535 MD5sum: 6b5894616fb3fc402c760ba3cdef1e03 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 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~nd90+1_all.deb Size: 27120 SHA256: c3c23edccbbc88ed6dc5b837c36cb16702084c6fa9c60408b01347fbd1b06313 SHA1: 8148945ca4a497fc095abf5bd56091dc68549a24 MD5sum: 55e93caa6bda04ebd816328017568041 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 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_all.deb Size: 68126 SHA256: 094d7371fc24224c5a7154253bedaadd34434a7c179b685584d3eb3f38a7248e SHA1: d9624b06e7a34466ab6e84f06daebeadfd5da98c MD5sum: a1fc25b7220160bc9b568047cf47fb44 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 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_all.deb Size: 319000 SHA256: 282d574870ededacc41cbe0bd9dae53dbef823fb008648e1523c28a619fcc1c2 SHA1: f31529135a1be6c39a367e2b5a231df67fbdf9d1 MD5sum: 603f97ee395db5bb1cbad9bbba16fc54 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 129 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.4.9-2) Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: doc Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd90+1_all.deb Size: 25712 SHA256: 9a1635f934c88d56787255dc4a566d3927c9e47b076dd67f280670007d503fd4 SHA1: 578a50e3259a396a6425856ec6d17fde36c36782 MD5sum: 44cc72e6d7c8181f5713e68fdd7ce30b 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~nd90+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~nd90+1_all.deb Size: 85538 SHA256: 4876121f464e27c5207905392dd6ba193a92684904cc0b91a82899563aed11a1 SHA1: c24ef8da0804c13fafd95fbc2f4e06866dd0b8ba MD5sum: 538729d74867fe379c34abe43af2e16e 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-scikits.statsmodels Source: statsmodels Version: 0.6.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 17 Depends: neurodebian-popularity-contest, python-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: oldlibs Filename: pool/main/s/statsmodels/python-scikits.statsmodels_0.6.1-1~nd80+1+nd90+1_all.deb Size: 6130 SHA256: 14c152e3d33f957bbfb131feb4b7f3b7635e8c951deaaa0bc14f4f61e201dd5f SHA1: aa7c9553756ceae24e09c14cb0896f3c2f47c7f0 MD5sum: ea75505ebffde41bf933adf8b994a3a9 Description: transitional compatibility package for statsmodels migration Provides old namespace (scikits.statsmodels) and could be removed if dependent code migrated to use statsmodels for clarity of the namespace. Package: python-scrapy Version: 1.0.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 986 Depends: neurodebian-popularity-contest, python-boto, python-cssselect, python-libxml2, python-lxml, python-queuelib, python-twisted-conch, python-twisted-core, python-twisted-mail, python-twisted-web, python-w3lib (>= 1.8), python, python-openssl, python-service-identity, python-six, python-twisted, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: ipython, python-django, python-guppy, python-imaging, python-mysqldb, python-pygments, python-simplejson | python (>= 2.6) Provides: python2.7-scrapy Homepage: http://scrapy.org/ Priority: optional Section: python Filename: pool/main/p/python-scrapy/python-scrapy_1.0.3-1~nd90+1_all.deb Size: 175836 SHA256: 4260fa520a995cdba1e0ef7a93e2012685b6ba641c452aca4a16c62c13cf23a9 SHA1: c669cf541b6215f69a418a8c24b8fcc1a2b1535b MD5sum: 1e24fc66d2270804340c78ef55b335c4 Description: Python web scraping and crawling framework Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy script and modules. Package: python-scrapy-doc Source: python-scrapy Version: 1.0.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7133 Depends: neurodebian-popularity-contest Recommends: libjs-jquery, libjs-underscore Homepage: http://scrapy.org/ Priority: optional Section: doc Filename: pool/main/p/python-scrapy/python-scrapy-doc_1.0.3-1~nd90+1_all.deb Size: 1540304 SHA256: 3680a439513ce144108222c9ef83853e240c9e58b9e635527309a1ff6079ebda SHA1: ace8165525e67c38faac44f433dc390ed3d6b231 MD5sum: 2c46c761285144e992af8ec8b0aeba62 Description: Python web scraping and crawling framework documentation Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy documentation in HTML format. Package: python-seaborn Source: seaborn Version: 0.7.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 766 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-pandas, python-matplotlib Recommends: python-statsmodels, python-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python-seaborn_0.7.1-2~nd90+1_all.deb Size: 128148 SHA256: 37a2320ba41067e6f3cb1524153c851de5ddb845594905decc2ed3eb7365070a SHA1: 6f4217b29b78731736e7e5e443bf02420b0d9a9e MD5sum: 8b79cd79eeecc50beb9877bc899d8353 Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 2 version of the package. Package: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 520 Depends: neurodebian-popularity-contest, python-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+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_all.deb Size: 202882 SHA256: 01e06afa9bed6d067a83e9d567524ced6d681fa2d4adf9cc8e749b106a9ba668 SHA1: 83064a27397b09226b86ff44b50b4bf0a808a30e MD5sum: 9f0904b6301d6dda919b0c965d8332bb 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1151 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: doc Filename: pool/main/p/python-setuptools/python-setuptools-doc_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 200342 SHA256: 5fc60cf7e9b042ef70252ba57cc61a46870d372a4247dba41128b4469591555d SHA1: 53fef49a979c75d0f5650649d098a435b4f2a6a5 MD5sum: a7025d38e45d90dc43319fd5a27941eb Description: Python Distutils Enhancements (documentation) Extensions to the Python distutils for large or complex distributions. The package contains the documentation in html format. 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Package: python-simplegeneric Source: simplegeneric Version: 0.7-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 34 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Provides: python2.7-simplegeneric Homepage: http://pypi.python.org/pypi/simplegeneric Priority: extra Section: python Filename: pool/main/s/simplegeneric/python-simplegeneric_0.7-1~nd70+1+nd90+1_all.deb Size: 9264 SHA256: 15a747617db233795675c1aa67ca9de17cd9e13af6912664e0b88eca1ddc6ddf SHA1: 94c949ff1fa89b6d155fa03308f301354c498766 MD5sum: 8594dcbe5f67eccd178894087d1d54e8 Description: Simple generic functions for Python The simplegeneric module lets you define simple single-dispatch generic functions, akin to Python's built-in generic functions like len(), iter() and so on. However, instead of using specially-named methods, these generic functions use simple lookup tables, akin to those used by e.g. pickle.dump() and other generic functions found in the Python standard library. Package: python-six Source: six Version: 1.10.0-3~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.10.0-3~bpo8+1~nd90+1_all.deb Size: 14662 SHA256: 58d2c3ecb53c12818859c99c0e3d125b89b0cea5194a3021e65fe7a537a5252d SHA1: 39b653f922658795fd70b58670297cbd16a2b4c9 MD5sum: cb5ebe41ce59dc84d63067d52476853d Description: Python 2 and 3 compatibility library (Python 2 interface) Six is a Python 2 and 3 compatibility library. 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It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six as a universal wheel. Package: python-sklearn Source: scikit-learn Version: 0.19.2-1~nd90+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~nd90+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~nd90+1_all.deb Size: 1457358 SHA256: a1c9462c14b87c71f11ea7ebfe91cbb7385d4ed53ffdb7d2c511bfa4a838b55d SHA1: 8be9de70388dc186c2e669444c638be35f0b65ab MD5sum: 0af214883cc0b7c7535242691449f2ff 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 33481 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~nd90+1_all.deb Size: 5087212 SHA256: 6ff44fbefdb5f3dd28529a34f9fad0c00428be3af969c74fe18455e1c2af3938 SHA1: 4ae67fd7a5744689f66a0fefe2d43165829761dc MD5sum: cde6232978efd6650b05e622e91bb3e2 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6673 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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~nd90+1_amd64.deb Size: 1559846 SHA256: ea63626f0ef0561062ddb14c5b02c92f303e8e3ee9727924bfe9ff8df94e88d8 SHA1: e2eba0dc44b47ef4bc882797a5de99ea96c6dfea MD5sum: 8bca5bb87016799a58a0a64ab59dab9b 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. 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If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 2. Package: python-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, python-rdflib, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python-sparqlwrapper_1.7.6-3~nd90+1_all.deb Size: 24000 SHA256: 15c075d591999ca84991660453bd89311b3ffe3efccb4b35cd7053fc94df1936 SHA1: 30e991350da5d04fb59e9c9a4e2d6c0b13ed6246 MD5sum: ce701a001fa7423d48525276c6078d2f Description: SPARQL endpoint interface to Python This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 2 version of the package. Package: python-sphinx Source: sphinx Version: 1.0.7-2~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3602 Depends: neurodebian-popularity-contest, python (>= 2.4), python-support (>= 0.90.0), python-docutils (>= 0.5), python-pygments (>= 0.8), python-jinja2 (>= 2.2), libjs-jquery Recommends: python (>= 2.6) | python-simplejson, python-imaging Suggests: jsmath Homepage: http://sphinx.pocoo.org/ Priority: optional Section: python Filename: pool/main/s/sphinx/python-sphinx_1.0.7-2~nd70+1+nd90+1_all.deb Size: 1039184 SHA256: c0343e0061b8ee91e77c7ae4929f848936635d296d62555c27663d36bef902c1 SHA1: b0ebef92fc597a739bc948e7cee12df496a8aefe MD5sum: d1a38c525e04f208e5c87ceb4cbb58a8 Description: tool for producing documentation for Python projects Sphinx is a tool for producing documentation for Python projects, using reStructuredText as markup language. . Sphinx features: * HTML, CHM, LaTeX output, * Cross-referencing source code, * Automatic indices, * Code highlighting, using Pygments, * Extensibility. Existing extensions: - automatic testing of code snippets, - including doctrings from Python modules. Package: python-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd90+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~nd90+1_all.deb Size: 71848 SHA256: 6a6d6a5404eb16935092a5ca23fd14d0cbf28840a4037afe542dec1e088dcd46 SHA1: c19b063d954b998ece9157c29887e27a5c81c3cc MD5sum: 18bb756710514c5fa1a9a69232dfcf14 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2733 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~nd90+1_all.deb Size: 1419724 SHA256: 9f7d427182f61539c76493aad0aba75b28239a8358fa98ef5e85324d1f31d812 SHA1: aed713967c75e7940904f77c8090f9d7d3e820cb MD5sum: 8632da2d94d03082ce69d7c17a127e08 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 359 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_all.deb Size: 117144 SHA256: eab67c48e24b93cff0b649e5a427eb10c52aa359d3a4fd74ea6cd4b069a9e95c SHA1: 34abec450f80ae0621d2647f38fddacebc0e09ef MD5sum: cc42c408e9505fba4fe618b6df197db5 Description: sphinx theme from readthedocs.org (Python 2) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 2 version of the package. Package: python-spyderlib Source: spyder Version: 2.2.5+dfsg-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4197 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), libjs-sphinxdoc (>= 1.0), libjs-jquery, libjs-mathjax, python-qt4 Recommends: ipython-qtconsole, pep8, pyflakes (>= 0.5.0), pylint, python-matplotlib, python-numpy, python-psutil (>= 0.3.0), python-rope, python-scipy, python-sphinx Suggests: tortoisehg, gitk Breaks: spyder (<< 2.0.12-1) Replaces: spyder (<< 2.0.12-1) Provides: python2.7-spyderlib Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: python Filename: pool/main/s/spyder/python-spyderlib_2.2.5+dfsg-1~nd80+1+nd90+1_all.deb Size: 1647356 SHA256: b4a2d401e100aa223d1cd764287958b07aae66471c4bc8b0f81cb56b4592f175 SHA1: 29ea7e0b238e8c437fb77ce4c5a77a910856a7b2 MD5sum: 46e38b5131ab14d5811e5b6e8ecfe690 Description: python IDE for scientists Originally written to design Spyder (the Scientific PYthon Development EnviRonment), the spyderlib Python library provides ready-to-use pure-Python widgets: source code editor with syntax highlighting and code introspection/analysis features, NumPy array editor, dictionary editor, Python console, etc. It's based on the Qt Python binding module PyQt4 (and is compatible with PySide since v2.2). Package: python-spykeutils Source: spykeutils Version: 0.4.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2094 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-scipy, python-quantities, python-neo (>= 0.2.1), python-nose, python-sphinx Recommends: python-guidata, python-guiqwt, python-tables, libjs-jquery, libjs-underscore, python-sklearn (>= 0.11), python-joblib (>= 0.4.5) Provides: python2.7-spykeutils Homepage: https://github.com/rproepp/spykeutils Priority: extra Section: python Filename: pool/main/s/spykeutils/python-spykeutils_0.4.2-1~nd90+1_all.deb Size: 308630 SHA256: c56f8e2d1a3184c8bda97a917bbad50ab1fb0735e6847c750162788c553ce69a SHA1: 61fc54b1b17852300f5e9191ba72f8b9fe314361 MD5sum: 451f10b232b5ac99eb1add45a414c099 Description: utilities for analyzing electrophysiological data spykeutils is a Python library for analyzing and plotting data from neurophysiological recordings. It can be used by itself or in conjunction with Spyke Viewer, a multi-platform GUI application for navigating electrophysiological datasets. Package: python-statsmodels Source: statsmodels Version: 0.8.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15923 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-statsmodels-lib (>= 0.8.0-1~nd90+1), python-patsy Recommends: python-pandas, python-matplotlib, python-nose, python-joblib, python-cvxopt Suggests: python-statsmodels-doc Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Provides: python2.7-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels_0.8.0-1~nd90+1_all.deb Size: 3316852 SHA256: 95315fadb36ceea8237b8e1e538412c4008d5854cef64a49a90d92fdb68a74e5 SHA1: 19d05ff41d376db80de12846b4311dbc7894665b MD5sum: 24094d77c65f7fc8e60d7719bb3e0861 Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python-statsmodels-doc Source: statsmodels Version: 0.8.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 54543 Depends: neurodebian-popularity-contest, libjs-jquery Recommends: libjs-mathjax Suggests: python-statsmodels Conflicts: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Replaces: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: doc Filename: pool/main/s/statsmodels/python-statsmodels-doc_0.8.0-1~nd90+1_all.deb Size: 8984366 SHA256: 28a042ed288c4d3c8114fac7b62b2cbba453aa45aa2bd807a3117bbe159756f6 SHA1: f918724b98486c021a319160726a0bacb2b54435 MD5sum: b1b907c84f27ea1d883884619aad1173 Description: documentation and examples for statsmodels This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.8.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1889 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.14) 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_amd64.deb Size: 296684 SHA256: 303d0c45abd143a737e789b19e54bc404854522bdbdd3a2443d7e3645e168ed9 SHA1: fba968991d84d3f790b1455ea65bc8105eea7adc MD5sum: 4dcacedc1420cec6c000041a4705f3dc Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-statsmodels-lib-dbgsym Source: statsmodels Version: 0.8.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 643 Depends: python-statsmodels-lib (= 0.8.0-1~nd90+1) Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: debug Filename: pool/main/s/statsmodels/python-statsmodels-lib-dbgsym_0.8.0-1~nd90+1_amd64.deb Size: 339756 SHA256: a0c6b60cc1b14b2c2340dff3618939d7e5f8694acb7fd7a7113f19483578173e SHA1: 8406082ac0897f28a07ff59b05d0d30ff5059c8c MD5sum: 6dd96e047f1c2d1ef7815ee59450addc Description: Debug symbols for python-statsmodels-lib Auto-Built-Package: debug-symbols Build-Ids: 157020501308f463502aca20fcd9749d7cd37c54 6b5744d1b3711d0f9068f773b1a751845a094cd8 7443328c450a5ba737afef4575ed6fff3bd4b42b a90ea85e0d7a4233c87d5cf8af2c787f94d1c427 b6dc4c129bcba8ed7df6b49316e52c8074368126 Package: python-stfio Source: stimfit Version: 0.15.8-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1457 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 (>= 2.14), libcholmod3 (>= 4.5.2), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:3.0), libhdf5-100, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4), 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~nd90+1_amd64.deb Size: 489836 SHA256: 0684460e5d5c64619ca220473382e5e163137e7fa0aa9f2355c35e8d5bac189b SHA1: 11789b8ffa16ea4c90a8b44f8dc81ab850b63236 MD5sum: 199cb91b40486bcc6f2e5a31dd9cd7b0 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 199 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-nibabel, python-numpy, python-scipy, python-pil | python-imaging, mayavi2, python-argparse Recommends: mencoder Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.7-1~nd90+1_all.deb Size: 44584 SHA256: 1d9f7d284c92dc88886f3ad91735ed7d48bcf34ec44d34032d4c2c5b1dc9344c SHA1: e6522641c1be9b910202179130e4388f3bb2e378 MD5sum: 75e5b6cd14e51a57631fa42e7209ee97 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~nd90+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~nd90+1_all.deb Size: 2574868 SHA256: 912345ba2c6f8c2420fec3d3058922ce69b31946845abc0f566dba5d17069283 SHA1: bb41499b79756a4cb970f2cdbc069d26d7b68a57 MD5sum: c6b28d78191b14fefbdb19d6e3386705 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 51247 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~nd90+1_all.deb Size: 5096808 SHA256: 41df0e782dfd2b8457726ec07947f4e280769a382b25147cf3b6ae7e00b3ab38 SHA1: edb4fd5f36c1e2aa851d677dd1e559458171c8d1 MD5sum: 1e3346421e4db36a2ab8986f11dfd398 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-tables Source: pytables Version: 3.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2815 Depends: neurodebian-popularity-contest, python-numpy, python, python-numexpr, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-tables-lib (>= 3.2.1-1~nd90+1), python-tables-lib (<< 3.2.1-1~nd90+1.1~), python-tables-data (= 3.2.1-1~nd90+1) Suggests: python-tables-doc, python-netcdf, vitables Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables_3.2.1-1~nd90+1_all.deb Size: 344806 SHA256: e66e257a076d39aa14d4204d5cf7b49114e518c8bec02735b5a3e8bac0c02da9 SHA1: a148f32ac501ace9855b063ab8390d8e9022261d MD5sum: 8df7e8284168c245806d6cae620f649f Description: hierarchical database for Python based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 2 version of the package. Package: python-tables-data Source: pytables Version: 3.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 957 Depends: neurodebian-popularity-contest Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables-data_3.2.1-1~nd90+1_all.deb Size: 51306 SHA256: 938dad82d3f85942804284edfcde696fad4eb67d713e1fb962bf5f4639156fda SHA1: a0de2ee3c0e22768d4558eb90271e3cebdcb8ff8 MD5sum: 266358c542dd429090e1ca9595fd3887 Description: hierarchical database for Python based on HDF5 - test data PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes daya fils used for unit testing. Package: python-tables-dbg Source: pytables Version: 3.2.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1609 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7~), libbz2-1.0, libc6 (>= 2.14), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1, zlib1g (>= 1:1.1.4), python-tables (= 3.2.1-1~nd90+1), python-tables-lib (= 3.2.1-1~nd90+1), python-numpy-dbg, python-numexpr-dbg Suggests: python-tables-doc, python-netcdf Homepage: http://www.pytables.org Priority: extra Section: debug Filename: pool/main/p/pytables/python-tables-dbg_3.2.1-1~nd90+1_amd64.deb Size: 478136 SHA256: 58a2e7f93f7c0165b3a0bd5031a9eff2f3fc4539a2412a912a1793f2b554119a SHA1: 5fe36850f239ce8b5661d6f6e247d425a293bdf3 MD5sum: 5976b2930fdcbcd8f23b121c6246b9bf Description: hierarchical database for Python based on HDF5 (debug extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 2 debug interpreter. Package: python-tables-doc Source: pytables Version: 3.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8931 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), libjs-jquery-cookie Suggests: xpdf | pdf-viewer, www-browser Homepage: http://www.pytables.org Priority: optional Section: doc Filename: pool/main/p/pytables/python-tables-doc_3.2.1-1~nd90+1_all.deb Size: 4249128 SHA256: a40038c806f2e49ca56bf8f36e962ce1505bb1de33b75dc1115c6a3b3c41c50e SHA1: d2f16e4f4dcbc57265ef62e3c5be8a9a0f632735 MD5sum: 2ef20d66ba9810f5bf35e4bd789ef2d2 Description: hierarchical database for Python based on HDF5 - documentation PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes the manual in PDF and HTML formats. Package: python-tables-lib Source: pytables Version: 3.2.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1372 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), libbz2-1.0, libc6 (>= 2.14), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1, zlib1g (>= 1:1.1.4) Recommends: python-tables (= 3.2.1-1~nd90+1) Breaks: python-tables (<< 3.0.0-3) Replaces: python-tables (<< 3.0.0-3) Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables-lib_3.2.1-1~nd90+1_amd64.deb Size: 381708 SHA256: bedc68c5169f6ea4fa5e3409f186f52725df67e0cc99f5467147ad91b8755b21 SHA1: 57ba904a4beb017733ff6491ff1637402edf3f21 MD5sum: a96ee974dcf3e6f06fa20ede0e413560 Description: hierarchical database for Python based on HDF5 (extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 2 interpreter. Package: python-tornado Version: 2.1.0-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 752 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pycurl, ca-certificates Recommends: python-mysqldb Homepage: http://www.tornadoweb.org/ Priority: optional Section: python Filename: pool/main/p/python-tornado/python-tornado_2.1.0-1~nd70+1+nd90+1_amd64.deb Size: 162960 SHA256: 388bd5cdd7abd37c99a0532a0b870678aed55c7a253afb5cb6a2e0d41801034f SHA1: f13dc2eb1f9571020af981ce730aec9da9f8ae13 MD5sum: 152bba76920e504042feda8080bfcb8e Description: scalable, non-blocking web server and tools Tornado is an open source version of the scalable, non-blocking web server and tools that power FriendFeed. The FriendFeed application is written using a web framework that looks a bit like web.py or Google's webapp, but with additional tools and optimizations to take advantage of the underlying non-blocking infrastructure. Package: python-tqdm Source: tqdm Version: 4.11.2-1~nd90+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_all.deb Size: 49632 SHA256: 4adce1d24cb43786452451d7196c946b219757d02e919a4d79d6077b21cb7071 SHA1: a110407a534e8d8bffeff10a879fa912ecee2f5b MD5sum: 95e946bc59c8a6630d3cda97a4b8da24 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-traits4 Source: python-traits Version: 4.0.0-1~cbp0~nd70+1+nd90+1 Architecture: amd64 Bugs: mailto:bugs@neuro.debian.net Maintainer: Debian Python Modules Team Installed-Size: 1784 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0) Suggests: python-traitsui Conflicts: python-traits (>= 4.0~) Homepage: http://pypi.python.org/pypi/traits Priority: optional Section: python Filename: pool/main/p/python-traits/python-traits4_4.0.0-1~cbp0~nd70+1+nd90+1_amd64.deb Size: 274152 SHA256: 89d34f78c17277aeb0f658d841584152e2d9d8132b2a86892e6004fd4cd56c72 SHA1: 3758cbae40a89b1505c36dbf24e21d41fec6a8a4 MD5sum: e747d6abbeef188db8591a1a0a553139 Description: Manifest typing and reactive programming for Python The traits package provides a metaclass with special attributes that are called traits. A trait is a type definition that can be used for normal Python object attributes, giving the attributes some additional characteristics: * Initialization: A trait attribute can have a default value * Validation: A trait attribute is manifestly typed. * Delegation: The value of a trait attribute can be contained in another object * Notification: Setting the value of a trait attribute can fired callbacks * Visualization: With the TraitsUI package, GUIs can be generated automatically from traited objects. Uploaders: Varun Hiremath Vcs-Browser: http://svn.debian.org/viewsvn/python-modules/packages/python-traits/trunk/ Vcs-Svn: svn://svn.debian.org/python-modules/packages/python-traits/trunk Package: python-tz Version: 2012c-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, tzdata, python (>= 2.7), python (<< 2.8) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python-tz_2012c-1~nd70+1+nd90+1_all.deb Size: 34052 SHA256: 183fa2c4d83c7b02405c5f9101694d4d85961edf4bcee6dba215e9e20b67d8cb SHA1: 8c91f1d29e858933f13fea6bdaf815c0890e1850 MD5sum: ceac8a71c4038ba6e4f4c78a07232199 Description: Python version of the Olson timezone database python-tz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo). Package: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1 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_all.deb Size: 65372 SHA256: 36ee52037907d239e55c5b15d1570024a0ac2f049ca11b6fb2c85e15360d6121 SHA1: c46b5eeb451f8235429f72c951c5b0307f1eb962 MD5sum: 44fa7e06d879bad45c6fecd896d4aed7 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 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_all.deb Size: 92832 SHA256: f9b360883fd0d1694cb33317081e225032a57ad26c587bf4dd4170038192bafc SHA1: 8bc6cbe0de7d234b87645296d40f5b0fa71b13fd MD5sum: 0bc80104672a4fab130e3e7b0cac49aa 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 157 Depends: neurodebian-popularity-contest, python-contextlib2, python-mock, python-six (>= 1.5), python-wrapt, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python-vcr_1.7.3-1.0.1~nd90+1_all.deb Size: 43540 SHA256: 5ffd32e41d6b09622a23f4d3abfe55c387b39645decd096cc75fd6db807b7d46 SHA1: b30f74457f548b02effee54982003cdd445bdca5 MD5sum: b3fbd72ceee13814f0d16b9072be2a6f 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-visionegg Source: visionegg Version: 1.2.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1815 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgl1-mesa-glx, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Homepage: http://www.visionegg.org Priority: optional Section: python Filename: pool/main/v/visionegg/python-visionegg_1.2.1-1~nd80+1+nd90+1_amd64.deb Size: 601038 SHA256: 86b044389fcf1a2874190bc4a5a6edba44c7f94caeaf569a4236dcc4845ba2f5 SHA1: 67b2652c53877dcf70979ec11d05ad3cb1c53bb2 MD5sum: c4ac71d4f03c20fa81305dfe2a525c9b Description: Python library for 2D/3D visual stimulus generation The Vision Egg is a programming library that uses standard, inexpensive computer graphics cards to produce visual stimuli for vision research experiments. Package: python-vtk-dicom Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 518 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), libvtk-dicom0.5, libvtk5.8, python-vtk Provides: python2.7-vtk-dicom Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: python Filename: pool/main/v/vtk-dicom/python-vtk-dicom_0.5.5-2~nd90+1_amd64.deb Size: 96190 SHA256: dc680bae142ac2f079316e6b14daf02bdb5485e868326a932397a68adb934fbd SHA1: 839daaa06b497bff9975e2ed34ccba99b99af84f MD5sum: 5bad936bc1376657ae2a1a21c6cc8a3d Description: DICOM for VTK - python This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Python 2.x bindings Package: python-w3lib Version: 1.11.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 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_all.deb Size: 14104 SHA256: 85ac8e1aa7d2bed41025a2c9b343b8002bc057f78290f03c709e6fc940d1a633 SHA1: c22e5a569842cc69a1b33afea2a6936cba76ba60 MD5sum: e355ae8758f67732c9dafe97e3f34885 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 765 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_all.deb Size: 165572 SHA256: 7be17184bec25c4a421825b50b8d03493cdbdb30e57f485188f06e479b1bc755 SHA1: 44d678dad8ad3b38ee2e09a7f122d9c5863a998f MD5sum: aee38b21de85d50eabf69ff03ce3e31d 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2709 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_all.deb Size: 881876 SHA256: 4a559109102aee2f3bb9267ac2200775e2afd8328e79fa27e3591e6773438a15 SHA1: 389736200858b2336fafbd741e83ead639acb312 MD5sum: 0c95fbcbaed8ab4ef2cc312bfaa821f5 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~nd90+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~nd90+1_all.deb Size: 290808 SHA256: 0d2641c011abbe88c46c8395af184395d1d87a6dcf1592cc6f1db73e9a03de7e SHA1: d178ec4b09c3f702a85313ef0b2c13a6a72a6a4e MD5sum: 0f5e0b2ef2ac3c547bb85d07b7609737 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2223 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~nd90+1_all.deb Size: 242482 SHA256: 602d9fc14a76b58aa6bd22cbb6a1a6b38749cf3bb842c60be3a6b4ea219add67 SHA1: ffb18a3ad12366200c8e4c08b36da1f81381b84e MD5sum: aaa4ab28fc56b665e3e9486cf8f8b85b 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-workqueue Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python (>= 2.7), python (<< 2.8) Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: python Filename: pool/main/c/cctools/python-workqueue_3.4.2-1~nd70+1+nd90+1_amd64.deb Size: 58518 SHA256: 53e10bfb19f7f956c3326543af1756da4fc9077f095e2743bb78fc93a5ed830f SHA1: 9be03d050f7cb941cafba7a3ffa72caf15c41e32 MD5sum: ef12ee66c89f2990b535469a0857294b Description: cooperative computing tools work queue Python bindings CCTools's Work Queue is a system and API for building master-worker style programs that scale up to thousands of processors. This package provides bindings to access this system from Python. Package: python-wrapt Version: 1.9.0-4~nd0~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 126 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~nd90+1_amd64.deb Size: 32072 SHA256: 23fbf91bf360ecf7aaf997808f24bfbadc582906b9cdf9721759192adeff8db3 SHA1: 7d0616afae77c9c416007408e8a1742da9316df1 MD5sum: 8b2ea704d67762117fd2967306c3c81e 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-dbgsym Source: python-wrapt Version: 1.9.0-4~nd0~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: python-wrapt (= 1.9.0-4~nd0~nd90+1) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: extra Section: debug Filename: pool/main/p/python-wrapt/python-wrapt-dbgsym_1.9.0-4~nd0~nd90+1_amd64.deb Size: 29044 SHA256: 978c5251f08ac9373275b8694d186ea54a8e78624bfecc28c5d99760a1b540c6 SHA1: 7633a7b7043dd61e5a2269b04f63b423c63e81ad MD5sum: f66e0e2730c39d44f96be8928218dacf Description: Debug symbols for python-wrapt Build-Ids: 51d13fc108478e4a1b11c9bf8696123b58f4eb45 Package: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 470 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~nd90+1_all.deb Size: 56472 SHA256: 9a6ac9617e9d61b73757fd9f6386c4633f3272fc645ac2d90b00304b51882e94 SHA1: 1e6c3b070d0446ca93093d6769d6762106d37be1 MD5sum: d7e5647814d2fd47d95367b30c581e90 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 448 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python-xlwt_1.3.0-2~nd0~nd90+1_all.deb Size: 86080 SHA256: 703cb51343ca4a808444d3f7886d94853b6fdc38694174a1ea5e37383c31fb1a SHA1: 511beeef326c80bf8c8c7665b02312028b257065 MD5sum: 1da715e02b3ede8112a021bf44d9bad9 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 257 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~nd90+1_all.deb Size: 57540 SHA256: e0484af968a0462dc9aaa0c734f02fafe2a1519acf5a7bc1a88be3202cb595a5 SHA1: 31b1efc8f6424fe6c64ebb9b9bfd22f4a957800f MD5sum: bf256e4f76c1aaafa0641fed7b690f4e Description: module for writing Microsoft Excel spreadsheet files - doc This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the documentation. Package: python3-annexremote Source: annexremote Version: 1.4.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 71 Depends: neurodebian-popularity-contest, python3-future, python3:any (>= 3.3.2-2~) Homepage: https://github.com/Lykos153/AnnexRemote Priority: optional Section: python Filename: pool/main/a/annexremote/python3-annexremote_1.4.3-1~nd90+1_all.deb Size: 13786 SHA256: 965a38dcc54d7a75383266c9133278dc577613238d3bde8297e8d4372249fdfc SHA1: e88d94ba631bfc2d786317acc6318a306c3032a1 MD5sum: 539bf8fca2fbc03899270b2849713d65 Description: abstraction for git-annex special remote implementations Helper module to develop special remotes for git-annex. AnnexRemote handles all the protocol aspects for you, so you can focus on the remote itself. It implements the complete external special remote protocol and fulfils all specifications regarding whitespaces, and order of messages. This is ensured by an extensive test suite. Package: python3-argcomplete Source: python-argcomplete Version: 1.0.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 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_all.deb Size: 22308 SHA256: 896b8c5b419eed7ceb8bea3107bc7127880960b1fa7d095b440e162d3599b2f2 SHA1: 52fa718876f85f5e4343f1609d4adb564528bfc3 MD5sum: 0b2f1bfe1efee40720a8985e945144af Description: bash tab completion for argparse (for Python 3) Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 3.x. Package: python3-babel Source: python-babel Version: 2.6.0+dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 410 Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd90+1), python3-pkg-resources, python3-tz, python3:any (>= 3.3.2-2~) Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python3-babel_2.6.0+dfsg.1-1~nd90+1_all.deb Size: 87720 SHA256: 48f324b0ef7430c2b59ed706827c37b1d12a8ae82bef3cf8a4dba11efd008e29 SHA1: 34964e50c4209a97220bf2b6aa1825e7cbf81e31 MD5sum: 120ae2fd4e92a21b81850a4ed2465130 Description: tools for internationalizing Python applications - Python 3.x Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package provides the Python 3.x module. Package: python3-boto Source: python-boto Version: 2.44.0-1~nd90+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~nd90+1_all.deb Size: 741080 SHA256: 073c2acc1efb8c3b04365dab53672eb969e4ea6e2483f48dfcf2afadce125f36 SHA1: aa62fbe500a05bfac833f88ecdf4ae451b942253 MD5sum: 748701a20a07780aaf127fea087aa455 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 721 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_all.deb Size: 63012 SHA256: be62f3877eb98cf49addaa5a7d172d734732d017847b7409c535a9d5e8723adc SHA1: 67796ff39c647a721621177e464106482c153e21 MD5sum: 30def32364ce1d68a3c7576a519b56c7 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~nd90+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~nd90+1_all.deb Size: 7910 SHA256: 277ad0b9fab0ef3f5242b0f603e4f13eea3798b997bab6a3557c579299789aa8 SHA1: 1795237107b16499fdc5d379ebd3dc44c0056de6 MD5sum: 04610162d8597f179b1474c18593cf0f Description: Python3 library for reading and writing bzip2-compressed files Bz2file is a Python library for reading and writing bzip2-compressed files. . It contains a drop-in replacement for the file interface in the standard library's bz2 module, including features from the latest development version of CPython that are not available in older releases. . Bz2file for Python3. Package: python3-chardet Source: chardet Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python3-chardet_3.0.4-1~nd90+1_all.deb Size: 80398 SHA256: a25188344adf67358f61fb5eb26526ca785d983ce8c885344c99537f1775a2a1 SHA1: a15590d8e2136ea8dbb4a81e965e64de92ea170f MD5sum: 774da3aa86fca8846825b8db32bc344a Description: universal character encoding detector for Python3 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. . This package contains the Python 3 version of the library. Package: python3-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 777 Depends: neurodebian-popularity-contest, python3, 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_all.deb Size: 81802 SHA256: 9771600798fda289f3bf331af6e87ce9b39eac0c38520bdf30f8c509457b82aa SHA1: 39ad5faaf9069dda3e4691ad8faa2e38b490e6bb MD5sum: eda798e4e44857e62a279e19dd0b3223 Description: Citation Style Language (CSL) processor for Python3 Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python 3 modules and the CLI tool csl_unsorted. Package: python3-click Source: python-click Version: 6.6-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 259 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python3-click_6.6-1~nd90+1_all.deb Size: 56358 SHA256: 162328fade0769a4856ac664aef89035aeb10e4c7cab31b5f8fe36af8c87ad9c SHA1: 3a07ac556384ac610e400ad6881218f1ab408880 MD5sum: 210b61f9d4e0c057e2fb13974b4165fa Description: Simple wrapper around optparse for powerful command line utilities - Python 3.x Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 3 compatible package. Package: python3-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd90+1 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_all.deb Size: 8734 SHA256: 8208ef7d303412211e9f184a05a3ea1ab1b9b86e7a253cc9726d1baa98722aba SHA1: c1a2992ecf62af90c8a66f0725dee7c137bc924a MD5sum: 91c06b98f55387e4a1dbaa5948271c49 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: 0.13.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5321 Depends: neurodebian-popularity-contest, git-annex (>= 7.20190503~) | git-annex-standalone (>= 7.20190503~), patool, p7zip-full, python3-appdirs, python3-annexremote, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-distro, python3-fasteners, python3-gitlab, python3-humanize, python3-iso8601, python3-keyrings.alt | python3-keyring (<= 8), python3-secretstorage, python3-keyring, python3-mock, python3-msgpack, python3-pil, python3-requests (>= 1.2), python3-simplejson, python3-six, python3-tqdm, python3-wrapt, python3-chardet, python3:any Recommends: python3-boto, python3-exif, python3-github, python3-jsmin, python3-html5lib, python3-httpretty, python3-libxmp, python3-lzma, python3-mutagen, python3-nose, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, python3-bs4, python3-numpy, datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.13.7-1~nd90+1_all.deb Size: 1111458 SHA256: 1b29b7197c40e1a0fac9a1ce0984ee996eb2a80310f142647e28c6e76caea9ea SHA1: 04c2612379699fae6c19b3e330a56e3d410af7bd MD5sum: 4a280150f8e018a247225371c2923bf3 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-dcmstack Source: dcmstack Version: 0.8-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 513 Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3:any (>= 3.3.2-2~), libjs-sphinxdoc (>= 1.0) Conflicts: python-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python3-dcmstack_0.8-1~nd90+1_all.deb Size: 77930 SHA256: 40b056fbc538740d14d03a5a6c62073c70bc13aa07aa7206f8e907253c92d353 SHA1: 5b25aac8346aad80bf79667783ca09bef16828ca MD5sum: 2a3a6334166f7583214768486fa7cd3c Description: DICOM to NIfTI conversion - python3 package DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python3 package. Package: python3-deprecation Source: python-deprecation Version: 1.0.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python3-deprecation_1.0.1-1~nd90+1_all.deb Size: 8608 SHA256: ef4f6a0b8f64acdb45a3ca2f9e62d3f6c2054b51ced6d7f12022eb60739e28e0 SHA1: 188860922c8e0f86858f290a778b1784bd98da5d MD5sum: ba1c1646ddc835f260ada8f4d7f872ee Description: Library to handle automated deprecations - Python 3.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 3.x module. Package: python3-dicom Source: pydicom Version: 1.2.1-1~nd90+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~nd90+1_all.deb Size: 4810 SHA256: b6c9778b6f6f9bfec23d4b8d0b7ac910584256b61d3d5725cf8d8060bf6e3caf SHA1: 13d8eeb4beb70f442c60970966c234518d8d3207 MD5sum: fedf77f002235f10e954a13cec5bffd9 Description: transitional package for python3-pydicom This is a transitional package. It can safely be removed. Package: python3-diskcache Source: diskcache Version: 4.0.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 209 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://www.grantjenks.com/docs/diskcache/ Priority: optional Section: python Filename: pool/main/d/diskcache/python3-diskcache_4.0.0-1~nd90+1_all.deb Size: 33588 SHA256: 5afbcc905367237b9a53e15a71fe392957adf6aa576fa81ed6dfadada4868568 SHA1: 9aa54a63ed2a54295bfa77dc4ea93dc8256916a6 MD5sum: 48ff3f486ac466a4bd4a6861c0169e13 Description: Python module for Disk and file backed persistent cache DiskCache is an Apache2 licensed disk and file backed cache library, written in pure-Python. Its features include . - Django compatible API - Thread-safe and process-safe - Supports multiple eviction policies (LRU and LFU included) - Keys support “tag” metadata and eviction Package: python3-docker Source: python-docker Version: 1.7.2-1~bpo8+1~nd90+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_all.deb Size: 27192 SHA256: 1514f81cadf9e27df86f8efd915a4633f00da62f2169ac9e1abe0b1ded5e3728 SHA1: b54bcaa32178be14de689a4c73746f23177040ad MD5sum: 230b56a6fbb8191e5f54941d9c9a4c7c 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 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_all.deb Size: 10974 SHA256: 8f1099481d5710591febbf4688436fe3d23f8d3f682170c8f1cb1d62c341bf09 SHA1: 4bb3811d3ee5699735c12f134eeae30a60533e0a MD5sum: 25c9325b671160d566541f1307998a7f 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: 0.8.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 256 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.8.0-1~nd90+1_all.deb Size: 58708 SHA256: 1c264ceea48f4323e1dd14447496e75fd7afcbccc458fd8a2de5a50aa3feabe2 SHA1: 8bb81f593d12e07166ce06d016f501e23a9dc3a9 MD5sum: 3a73dbc317a25563e8384c9cc81a84fa 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python3-exif_2.1.2-1~nd90+1_all.deb Size: 30962 SHA256: c87701cb2e130ba0cc9e5e3b01f68fa20401dfdabf822e9d558034bc352d9782 SHA1: afad89dd667945d3f2e4ee760d9c6f50d6e48c70 MD5sum: 9bfb3f459f768ea95c2ca5ea19c33316 Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 3.x module. Package: python3-fasteners Source: python-fasteners Version: 0.14.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, python3-monotonic, python3-six, python3:any Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python3-fasteners_0.14.1-2~nd90+1_all.deb Size: 15348 SHA256: 438b20463e29aab94b1fd842c7d4b0f8e7d653c2cfcaa74dc3064e31aeb65212 SHA1: 386f010e24e0c6c30c25849bc6435129e9c0e406 MD5sum: 68cdb523ed9583f83725dca8ce35f0fd Description: provides useful locks - Python 3.x Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 3.x module. Package: python3-filelock Source: python-filelock Version: 3.0.12-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python3-filelock_3.0.12-1+nd1~nd90+1_all.deb Size: 8172 SHA256: ab9da227ba0946b026245431736b2dc7f532d013dd0769d85ea30eaf63e1f6bc SHA1: 4ec31ede42a3b970beaae9278631e3a7e1df5855 MD5sum: dc60deb538314c74d3066150dd497b24 Description: platform independent file locking module (Python 3) This package contains a single module, which implements a platform independent file locking mechanism for Python. The lock includes a lock counter and is thread safe. This means, when locking the same lock object twice, it will not block. . This package installs the Python 3 version. Package: python3-fsl Source: fslpy Version: 1.2.2-2~nd90+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~nd90+1_all.deb Size: 84260 SHA256: 088ef2767d183c12a6055b231855694b256553b49344ef7926467994db491eee SHA1: 0a7f2f21fb5db3bf7e3077b96c4dc2901f6ba501 MD5sum: a5a6d539d29cb954120c5635a601eb6d 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64 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_all.deb Size: 13072 SHA256: 1fab6e23175a30cda64b74fdcc94f8c070a1c8142f5d5507bc58a2130fc45182 SHA1: 3582e69a29ee738ec8b99857a9c6e7f2be5231b6 MD5sum: e43f270d56bcc63c81de299f76776c47 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1662 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python3.5:any, python3:any (>= 3.3.2-2~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python3-future_0.15.2-1~nd90+1_all.deb Size: 346132 SHA256: 0b86fec70d0f5de4794a05779c5d7017892df211db0b07bcbfffdf898cfa36d2 SHA1: ecd64620aadfed37312d2fd64a242d66af3dc4d7 MD5sum: bc2756c27fbf3c290513779740efa42b 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: 3.0.5-1~nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1679 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any (>= 3.3.2-2~) Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_3.0.5-1~nd1~nd90+1_all.deb Size: 308218 SHA256: bcd86753d75cecbed5324c7f3b431fe1794d33d443691a74e77e67fc40f53aaa SHA1: 414eeb335a002c23cecec376858550f74ea8171d MD5sum: 8963504814802d1381073409ca5871ee 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-git-annex-adapter Source: git-annex-adapter Version: 0.0.0~pre1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 33 Depends: neurodebian-popularity-contest, git-annex (>= 6.20160726~) | git-annex-standalone (>= 6.20160726~), python3:any (>= 3.3.2-2~) Homepage: https://github.com/alpernebbi/git-annex-adapter Priority: optional Section: python Filename: pool/main/g/git-annex-adapter/python3-git-annex-adapter_0.0.0~pre1-1~nd90+1_all.deb Size: 6812 SHA256: d4c20feff6e01909159cb26182c1f0b4db93dd6ba3fc64e49d049789e465904f SHA1: db6a07d72a8fd5ae113fedf729221609b112d421 MD5sum: e133f7de11ae6d3eaca0b5175200d519 Description: call git-annex commands from within Python This is a minimalistic interface to git-annex. Commands are executed using subprocess and use their batch versions whenever possible. Package: python3-gitdb Source: python-gitdb Version: 2.0.6-1~nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python3-smmap (>> 2), python3:any (>= 3.3.2-2~) Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python3-gitdb_2.0.6-1~nd1~nd90+1_all.deb Size: 47060 SHA256: 442e2db3b7a2871a9188beb754af6c7bba60025d8f35e48d837ee742f05da47b SHA1: 4909b7ce9e5825b3b0259905b355912123a2301c MD5sum: cc236cbeda9a872d70fe7cfb7e059b14 Description: pure-Python git object database (Python 3) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package contains the Python 3.x module. Package: python3-gitdb-dbgsym Source: python-gitdb Version: 0.6.4-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 69 Depends: python3-gitdb (= 0.6.4-3~nd90+1) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: debug Filename: pool/main/p/python-gitdb/python3-gitdb-dbgsym_0.6.4-3~nd90+1_amd64.deb Size: 41278 SHA256: 5c2492a21f2c70133e1f7768344acd9832ba5c7e5b7b45c8135b878fb87d59ff SHA1: 49e53b34c2f3576f5f984de235bb8619bd21717a MD5sum: 5e6bf3f0dfaf9095eabb89c065094d6e Description: Debug symbols for python3-gitdb Auto-Built-Package: debug-symbols Build-Ids: 1e6490b00bed5aa3af727500f2512d1c875a2fad b0bec8fd665114e8f77cb6229556cab4e8312095 Package: python3-github Source: pygithub Version: 1.43.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 916 Depends: neurodebian-popularity-contest, python3-jwt, python3-requests, python3:any Conflicts: python3-pygithub Replaces: python3-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python3-github_1.43.7-1~nd90+1_all.deb Size: 64780 SHA256: 531e057c1e05ea1d3d160c8c19c4cf90ee8ad47f23018abfe7907bf45d2806d2 SHA1: fc8c45def1665dafb2088350cc1c0fd597d6dbc9 MD5sum: 2cedb148375a7ba5fc9eb2bf76e7fc59 Description: Access the full Github API v3 from Python3 This is a Python library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python3-h5py Source: h5py Version: 2.7.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2686 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-six, python3:any (>= 3.3.2-2~), libc6 (>= 2.14), libhdf5-100 Suggests: python-h5py-doc Homepage: http://www.h5py.org/ Priority: optional Section: python Filename: pool/main/h/h5py/python3-h5py_2.7.1-2~nd90+1_amd64.deb Size: 629484 SHA256: 39e9dcfe8dabf9ac3f01f215fbf08c8c5331ea2e2a299e05a12fb4308757477d SHA1: a148ef34892e3ad7182911e166eb572076a77f05 MD5sum: 0d93ee32d67edbc6ba729863fb60c2ca Description: general-purpose Python interface to hdf5 (Python 3) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the modules for Python 3. Package: python3-h5py-dbg Source: h5py Version: 2.7.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14193 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.6), python3-dbg (>= 3.5~), python3-dbg:any (>= 3.3~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, libc6 (>= 2.14), libhdf5-100, python3-h5py (= 2.7.1-2~nd90+1), python3-numpy-dbg Homepage: http://www.h5py.org/ Priority: extra Section: debug Filename: pool/main/h/h5py/python3-h5py-dbg_2.7.1-2~nd90+1_amd64.deb Size: 4648890 SHA256: 36822a3e47acd68d87a5b2b57a65d65d126769c01a994fdb8d0f9d7dd7a02887 SHA1: 64512225f9d35e49e30183bdcacc792d626b5d06 MD5sum: 20cd524b86b28c3222f1ec02cb92bd39 Description: debug extensions for h5py (Python 3) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the debug extensions for Python 3. Build-Ids: 01035c2e838ca8ac80693126eba14ebc777c72aa 0f6474cb4e48e84351930471663e5680fe869367 1198f4188746c363bb0021f1d5e115309ba5d4e9 16088291e26b7d1b0eb7f7695722f2a2703cb65d 1c569f5eb891a8ecdb615e7ced7d745128b01862 203c671be6453fc2a8d913e1f114b13ec35d7ded 2290d5315f70d13d940d8e5347b9b4d4e6ea974e 299045c56365fce213ad97a8789f63ca3d22f991 492121e8192674b1488cfbdc510710e713762e3a 4a29b32b9c09eee2052a8ec0fc3225a5349900e8 4dba7c0974c8ab738983a5e08ff07d97a6e106df 5e17341458f8096c6a89de2e3e45b53ca66dd6c3 60ba2ad6feb57c35f4ef8e180028e86f76dd944e 65e45b0108a182e61618ec757ade6b614c7b441d 6e1bb6409ad7e26655122299ce58f93516cfff32 6e82cf68eaac2e0700d74871696307cc6a5ec568 7611847cdbe73172f226d5c478c61c9c9bab2402 88e18a2e98f2d8896e4f100e0db911b10856b852 8b18069c2e9b4f03649d7531c5d865c2310e2b86 92f5f4d721765d84f1bd80a5b4c49b6ae7c10d7c a95533744ec6a0591d8732b5a2209eb7929d980a d889ea5a9faf3e26ec506691b243b1a6602a090d Package: python3-hdmf Source: hdmf Version: 1.1.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 391 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py, python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any (>= 3.3.2-2~), python3-certifi, python3-chardet, python3-idna, python3-urllib3 Homepage: https://github.com/hdmf-dev/hdmf Priority: optional Section: python Filename: pool/main/h/hdmf/python3-hdmf_1.1.2-1~nd90+1_all.deb Size: 63636 SHA256: a8cd0b967fd270ebfb2dc268b525897ff2c692a1a5297006d7a79e9d0369e367 SHA1: c4d34d224de477e4294978d6e44a98359f238107 MD5sum: 7ff6088d8c39e12c6f5ec8d03397685b Description: Hierarchical Data Modeling Framework The Hierarchical Data Modeling Framework (HDMF) is a Python package for working with hierarchical data. It provides APIs for specifying data models, reading and writing data to different storage backends, and representing data with Python object. Package: python3-httpretty Source: python-httpretty Version: 0.9.5-6+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, python3-six, python3-urllib3, python3:any Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python3-httpretty_0.9.5-6+nd1~nd90+1_all.deb Size: 20278 SHA256: e600c44d93f43d83f7dde57005e01e51b75fcd47746594d5de8c60bc1d559572 SHA1: 54e3d9c5daeac1469d9deef29f69ba74e6ee967b MD5sum: f802ba410cb1c555797848a7bd9a6920 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 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_all.deb Size: 12668 SHA256: 09e180429c6ce4e29725b5eba27eadb80b41aee505906744cb3402a9ac6e8fca SHA1: 426390f0559742af2e08fc87e1f4aaec1e5c8f59 MD5sum: c4749e78654afa0b8c5def4772b32583 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 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~nd90+1_all.deb Size: 161800 SHA256: fd9c7c9f4e83fb8c2b74ca06102faa9abe655a856d1a0971e63cf0a75789521b SHA1: e1f64dbc4959982e5bad0f3801b66c99a202eeb1 MD5sum: cf3d9cb228ff573a6b37e78cfb88d77c 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1180 Depends: neurodebian-popularity-contest, cython3, python3-numpy, libc6 (>= 2.14), zlib1g (>= 1:1.2.2.4), python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.3.2-2~) Provides: python3.5-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~nd90+1_amd64.deb Size: 363856 SHA256: ad24ee8aa5bfa7a0f81fa0a62150892b534ae403c6b61cd0b3a4ff09e929bee9 SHA1: 74917c4acb4870b648541a25b449b2677b8cf6e1 MD5sum: 0037962020f872b182885f7f82b5fec3 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-indexed-gzip-dbgsym Source: indexed-gzip Version: 0.8.6-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1221 Depends: python3-indexed-gzip (= 0.8.6-1~nd90+1) Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: extra Section: debug Filename: pool/main/i/indexed-gzip/python3-indexed-gzip-dbgsym_0.8.6-1~nd90+1_amd64.deb Size: 1121732 SHA256: dfa5564943139edb24de51887ff08307e7140566a7c95a19cc7a4fa5a0660e78 SHA1: 491d3567f4171547d969f7ed6012a1ca44cf0fe9 MD5sum: db8d2e4d087a7d5d28eba344ae39ac4e Description: Debug symbols for python3-indexed-gzip Build-Ids: 1b1344810749a80f50337393e864d501fa72434f 860cfdb5e935731c5788c9a76da658a762b43bdf f475985e9354e87433b7247f0e835a212628ac75 Package: python3-jdcal Source: jdcal Version: 1.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python3-jdcal_1.0-1~nd80+1+nd90+1_all.deb Size: 7518 SHA256: 509687fb7218b6ba604b6c6224a4274f12f43d040c9d85ee47157e8ebb9b8c9c SHA1: b0c638b1dff6c85861e5f9fe52c8418bb82de3a5 MD5sum: a9021e0701397e533368a236de8df6b3 Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python3-joblib Source: joblib Version: 0.13.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 870 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), procps Recommends: python3-numpy, python3-pytest, python3-simplejson, python3-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.13.2-1~nd90+1_all.deb Size: 189690 SHA256: e3ffe97ba788f4e9cb6b48571f7e28bdc0c49f9d2ceeb2d75fa3c52d82f7aee0 SHA1: a2df72a7df52425ecf70fd36ab2e7708e8370c9d MD5sum: a16d58bc05c2841d73d6ecf3df8722ab 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 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_all.deb Size: 21584 SHA256: b5e894bae070a06891fbbea89398feea5c29037a52856180e9ffff4021e3e059 SHA1: bac3a23eb3b1d28abaf8550ad2400c9e0e155c5c MD5sum: b162868d60a3f514cfebf200165cfca9 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~nd90+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~nd90+1_all.deb Size: 18912 SHA256: ef38dc832d5f3ed5b05990d0ddb4b0f5a82fefe3945f8985ee5334316e791336 SHA1: 694bcc97565a684dbacf1e7698e898a53231264b MD5sum: ea72447001de012769d1d146ba02883e 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-lda Source: lda Version: 1.0.2-9~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1263 Depends: neurodebian-popularity-contest, python3 (<< 3.5), python3 (>= 3.4~), python3-numpy, python3-pbr, libc6 (>= 2.14) Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python3-lda_1.0.2-9~nd80+1+nd90+1_amd64.deb Size: 234188 SHA256: 464d2a27e97c9e0e7f094cb96db75d2500bf062b28f374a70f6acccd1f189261 SHA1: e7655ef742a0734a83255c21f1e0079708bbbac9 MD5sum: 01ec02b9770dec4389274a5b447b8752 Description: Topic modeling with latent Dirichlet allocation lda implements latent Dirichlet allocation (LDA) using collapsed Gibbs sampling. . This package contains the Python 3.x module. Package: python3-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python3-tz, python3:any (>= 3.3.2-2~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python3-libxmp_2.0.1+git20140309.5437b0a-4~nd90+1_all.deb Size: 24438 SHA256: ef4239ba44b32436451a9a91d48a94f677732843446475e07c3214584d80b509 SHA1: fc1033d84ce218f3214d5d48e87417e92fa5abe8 MD5sum: 44b2e23fce628e572d052b82e7c7f9b0 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-mdp Source: mdp Version: 3.5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1387 Depends: neurodebian-popularity-contest, python3-future, python3-numpy, python3:any (>= 3.3.2-2~), python-numpy, python-future Recommends: python3-pytest, python3-scipy, python3-joblib, python3-sklearn Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python3-mdp_3.5-1~nd90+1_all.deb Size: 275298 SHA256: c7ebf3dacb49fd9c33db382c47b6755564873fe4c73a86e5d3fece2171790014 SHA1: 820f14dd16401efa4797608ab93556fa5427c51d MD5sum: 3d9b7923dfecefc7392e1ad046309a1f Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 3. Package: python3-monotonic Source: python-monotonic Version: 1.1-2~nd90+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~nd90+1_all.deb Size: 5502 SHA256: 80ca570c1f5aeda087799dc89294c4753892b186d6f418d2f4791f3629811cfd SHA1: 0586d2e56b52f46ccf619c9998b207399de5e805 MD5sum: 1989f36b73777e8dcbe76f013b6a72de 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-mpi4py Source: mpi4py Version: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2737 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.10, python3 (<< 3.6), python3 (>= 3.4~) Recommends: mpi-default-bin Suggests: python3-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python3-mpi4py_2.0.0-1~nd90+1_amd64.deb Size: 473610 SHA256: 7f4e6ce5e56f45e2e5bd71279505ead9617ca3dd6c5c856e6588aad901b594ba SHA1: 0826af2aa0704d1ddc4acbbd226cbe73c3231874 MD5sum: b7729a5eb5900556abd807d846b6a25f Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python3-mpi4py-dbg Source: mpi4py Version: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 13078 Depends: neurodebian-popularity-contest, python3-mpi4py (= 2.0.0-1~nd90+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python3-mpi4py-dbg_2.0.0-1~nd90+1_amd64.deb Size: 2170296 SHA256: 0a5335ead45283d1d678f8844f5f280a618a8f102699fa47ffb22a0bc93409e5 SHA1: fd08d6b9c753ff3e885887bf2e1781246e9c611e MD5sum: 4137419cfb91fe910b9feac2ada86306 Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python3-msgpack Source: msgpack-python Version: 0.4.8-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 233 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.3.2-2~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Homepage: https://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python3-msgpack_0.4.8-1~nd90+1_amd64.deb Size: 68384 SHA256: 5eaca764a4a3e85d102c0d4354075bce26567e32bf12cd74203f2bd5ba0eb298 SHA1: 699ca9949d2e6811ccd6dea0ed0ca715efae62cd MD5sum: 7646747b2aaa54adbf1b78f7bca2787d 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-msgpack-dbgsym Source: msgpack-python Version: 0.4.8-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 224 Depends: python3-msgpack (= 0.4.8-1~nd90+1) Homepage: https://pypi.python.org/pypi/msgpack-python/ Priority: extra Section: debug Filename: pool/main/m/msgpack-python/python3-msgpack-dbgsym_0.4.8-1~nd90+1_amd64.deb Size: 184458 SHA256: b7e37ffc62f54aadfc3b830fe4c92f5ca3f488c2e4b5a1cf03e82446b6b27164 SHA1: 92e36afb595d4558e10e7d7f73bba3c7ddf05aa2 MD5sum: f409b97ca59dad28e765ed7047070ec5 Description: Debug symbols for python3-msgpack Build-Ids: 5a0fb5a6578f3efd81f48ec07ea345eae16b9d29 89321e22d93fd08922dcc8a32f8a3eff6bf612c3 Package: python3-mutagen Source: mutagen Version: 1.38-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 654 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python3-mutagen_1.38-1+nd1~nd90+1_all.deb Size: 132040 SHA256: 8a86ceb4213f59d207bb06348f7f3a67f4f229fb196578e116d4d697c298589c SHA1: 87159aa0c5b3ffe36249db71769651a398ca2f0b MD5sum: 6645d5a50cc702881de9cabdf94ad721 Description: audio metadata editing library (Python 3) Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package is built for Python 3. Package: python3-nibabel Source: nibabel Version: 2.5.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65838 Depends: neurodebian-popularity-contest, python3-bz2file, python3-numpy (>= 1.2), python3-six (>= 1.3), python3:any (>= 3.3.2-2~), python3-scipy Recommends: python3-dicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.5.1-1~nd90+1_all.deb Size: 2663286 SHA256: 985b761e188a769cd60674fac7d1bf5cbfe35b289c0ce8719480e2286b6ff221 SHA1: e280092bfea99820f9f9cb11e6871d57e866d8d6 MD5sum: 1975bd6f987cefa4328dda16407448f4 Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-nilearn Source: nilearn Version: 0.2.5~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2158 Depends: neurodebian-popularity-contest, python3-nibabel (>= 1.1.0), python3:any (>= 3.3.2-2~), python3-numpy (>= 1:1.6), python3-scipy (>= 0.9), python3-sklearn (>= 0.12.1) Recommends: python-matplotlib Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python3-nilearn_0.2.5~dfsg.1-1~nd90+1_all.deb Size: 685034 SHA256: cd294196a90cf05f9bc4b2c59a10e174985f9f4aa5a5b20e2707454ea002015c SHA1: 52f7b825b93ba326316e810a0032f829a3ad5f3a MD5sum: 49d7ab9930c57c029e334b747662e271 Description: fast and easy statistical learning on neuroimaging data (Python 3) This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. . This package provides the Python 3 version. Package: python3-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1 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_all.deb Size: 5190 SHA256: c647378e4ac68d6753801dde93798cd63acb59c1bb2d7edaddf8753a9883dc08 SHA1: 106e055cabc299003c29cc626e1c8c7f41c98c79 MD5sum: 75d7fb5666e53c4dd70cbb41a35601d5 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3:any (>= 3.3.2-2~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), 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~nd90+1_amd64.deb Size: 138300 SHA256: 2cc6a776e43062b7f43c1c1878140f34214b7f47a964da9e390deaf487c1deea SHA1: e93c42ceca520e30ee4eef7e30c8ef016da93545 MD5sum: 275af52020b325d1ec69cab2873825f2 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-numexpr-dbg Source: numexpr Version: 2.6.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 287 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-dbg (<< 3.6), python3-dbg (>= 3.5~), python3-dbg:any (>= 3.2~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python3-numexpr (= 2.6.1-2~nd90+1), python3-numpy-dbg Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbg_2.6.1-2~nd90+1_amd64.deb Size: 110508 SHA256: 477c437946ed0c80fdd2948edd96072c4814df8cf666dc74149d6f907f6c9910 SHA1: de8eff268701d95525cbdf43dacaf9fdc184af94 MD5sum: 72c5ee2306cd48473ae7d83e0379264b Description: Fast numerical array expression evaluator for Python 3 and NumPy (debug ext) 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 the extension built for the Python 3 debug interpreter. Package: python3-numexpr-dbg-dbgsym Source: numexpr Version: 2.6.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 239 Depends: python3-numexpr-dbg (= 2.6.1-2~nd90+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbg-dbgsym_2.6.1-2~nd90+1_amd64.deb Size: 221466 SHA256: 5d1438c6666beec01d78cb68db857227752d3a4f73f8a55a2dc2cc6cf2e1b688 SHA1: a832af9566d37cc2c18da48cf0e0919cff71f83b MD5sum: b4d1334e48536e58717bfd667e63f62a Description: Debug symbols for python3-numexpr-dbg Auto-Built-Package: debug-symbols Build-Ids: ea626e98a00c7ec04cc5c0cda3310c3628b63dde Package: python3-numexpr-dbgsym Source: numexpr Version: 2.6.2-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 238 Depends: python3-numexpr (= 2.6.2-1~nd90+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbgsym_2.6.2-1~nd90+1_amd64.deb Size: 220942 SHA256: b63ee1a74c26785ccbfc6d003fa5abffb3455e24feb1a4e04c5f07a2cf7a8a7a SHA1: 67f1bdf12cd3543c8fca829f00dcf943a84081fd MD5sum: a1c6fc5cf52198678c4a212900376810 Description: Debug symbols for python3-numexpr Build-Ids: b0222a48959fa0e13b37b094c4c0fcde6b150426 Package: python3-openpyxl Source: openpyxl Version: 2.4.9-1~nd90+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~nd90+1_all.deb Size: 220772 SHA256: 26c658ee8624ca566cd2660373af6de1d8e5c2f8445bea945cd6b050d109116f SHA1: f102f72ca01102b56eca82e97e1e8662c9a375ad MD5sum: 6aaa97822f2c849d2ed9417aff0a2562 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 85 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_all.deb Size: 17270 SHA256: 1d3e30f82be2e97addff8b78bcc6505de87ba5a1b9d724259e7cf406739901d1 SHA1: adaba2f1a49b83f8af262406647ffa424ab72487 MD5sum: 6225df2547e50f3d13e80996b697ac7b 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: 0.22.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26939 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.22.0-2~nd90+1), python3-pkg-resources, python3-six Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-lxml Suggests: python-pandas-doc Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.22.0-2~nd90+1_all.deb Size: 2779346 SHA256: 6116a59c50bcaa13e6a462204e9b1944fc02a5de9717fd124ca3457b8d88cf52 SHA1: fe4f3f510a1a01ec912a81c29e4f395b514cfb37 MD5sum: 81b51b0223d3088936ec8ebffad18340 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: 0.22.0-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12635 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.2~) Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.22.0-2~nd90+1_amd64.deb Size: 2965310 SHA256: 7f55e7ada7050e6394d2f5bf15727d46c22ed15ae12ae77ef993206533bb1b5f SHA1: 6d6488219a60e0fe347947ea1d6326df9be74fd4 MD5sum: 8fcd80cef35270dbfb0a9b5cd38fabd1 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-pandas-lib-dbgsym Source: pandas Version: 0.22.0-2~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14211 Depends: python3-pandas-lib (= 0.22.0-2~nd90+1) Homepage: http://pandas.sourceforge.net Priority: extra Section: debug Filename: pool/main/p/pandas/python3-pandas-lib-dbgsym_0.22.0-2~nd90+1_amd64.deb Size: 12968282 SHA256: 11927219004657b4b0c7e2ee0946cf1084eb5e54cd83c7a9126c88e6c4abb153 SHA1: f5d527e0e8dd19237f4dbb5f9ead2757d1bb4515 MD5sum: 364a013812080832b561a11ebef93618 Description: Debug symbols for python3-pandas-lib Build-Ids: 1b6ee05eb6655da314b7603cf94431e560fed0e9 217502ee5a6fea27fdb081384ea2ffe37553b5cb 2369c27ff89d832fd3c6e46ab277a7df07e2d36f 242c2e33f421afd2977fcc0ae484bf82d4f1152a 44b7d09eac473ba13d03b900f227ee5fb49316d0 531a1c6e4719e5d6b3c56279ae24436c8e0a788f 5e68375931721f8b39dfd96851407761b90becec 7204a71bef658dcd2d42a7a9dc673cfaf570d499 7808e942bc6808ddc2920ac94232c18b2d161c80 79efe8215fdd061719e4105c8f525f09e1d84e85 7daa5aee40c752fc5e9584f0821c7aab83147d5d 812354693d760db8f73bebe9596e21827e491ff7 89e9b3f71ee756eb29f312acc612123840c4ec72 95378c2b08bf7c41b7493c111b2a8952463aea92 9e715350ae39798c2fe588e94dee07864a925342 9f092273c336f9a9d2eb20e60d5cc7ce0a133524 aa4387b0b2c57fc0cbb0aaffb97a1cd85d0025ac b7732b618f81f56ac619ba6808d7064f96b20fbb bafe175eeb023fb8707ed7d25c0222e9c52a55b3 c0058d77cfeddd4c2e3efbece23fd43f8ea0a0cf c23e27ff62a1e89e26a61d9e3a22a9afb0d00aa8 d4e11142b3ed1c30c0701a8dfad9ffa7ad14afd9 e4f6f445faea2fd736a0de3baf49e644605e6c41 e82fa57a9e60a8a4b306a9674f5b7d350166484d e91c34e442c1253ff34b958448cfea14d04cf832 f94f042331685b5149c1db7600376cca94c4fee4 ff0312a76c218b1b9753b5508040d2407f9062ae Package: python3-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 783 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~nd90+1_all.deb Size: 171840 SHA256: c64c54a588b25b830b6b383f68b69651a67ef9613fabc9df3c58706c2f8b8072 SHA1: a3c9c78d7b0a174aaf7221a83270a8f4aaed6c76 MD5sum: f9f619d816e4b827677e8bd5bad7ae57 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 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_all.deb Size: 111984 SHA256: ff495c488e006e970fd767a609480ba382b1e883d43ff51dbb558b685f9babe8 SHA1: 0e8948fffef6018add11d6297b0a2166a05696dd MD5sum: b67348d5d6aa30552514e9bb69dd2b8b 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~nd90+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~nd90+1_all.deb Size: 100794 SHA256: bcbe55b2986d76ae6894aa5dc88dd3cfdc90cd9666df015e8803d4da96f46373 SHA1: 8e4c937a2e7e54ff2cc55527688936c005498bdf MD5sum: 76b597e7809e0534a8c5be8171a40a21 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-psutil Source: python-psutil Version: 2.1.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 263 Depends: neurodebian-popularity-contest, libc6 (>= 2.13), python3 (<< 3.5), python3 (>= 3.4~) Homepage: http://code.google.com/p/psutil/ Priority: optional Section: python Filename: pool/main/p/python-psutil/python3-psutil_2.1.1-1~nd80+1+nd90+1_amd64.deb Size: 60008 SHA256: 9b09890376fbcd403275efef346c5787cb0be2b20181532aa05e42bbad9888af SHA1: e9b7baa1e55ed43523b57c7bab9ff89445cb1395 MD5sum: 029caf0aa88a6a62c5124329004c075a Description: module providing convenience functions for managing processes (Python3) psutil is a module providing an interface for retrieving information on running processes and system utilization (CPU, memory) in a portable way by using Python, implementing many functionalities offered by tools like ps, top and Windows task manager. . It currently supports Linux, OS X, FreeBSD and Windows. . This package contains the Python 3 version of psutil. Package: python3-py Source: python-py Version: 1.4.31-2~nd90+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_all.deb Size: 82252 SHA256: 3837b3387371e1325ce35cc0fa5cf1325c87f88c71a480b4f76dfa37f7ebb61b SHA1: d9fa52b1621846f1aed6f203f7decebadf51e150 MD5sum: e73a5b437a79a15cb2c16602b6f6d513 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~nd90+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~nd90+1_all.deb Size: 4397436 SHA256: 53d525824b2399faf8fb91254a264e9b8905c97ab7396afee0706d6565dd7b0e SHA1: 9759b6e7d76e2ce80f0c87b71b67333cc20a1ac2 MD5sum: 4054c9da78d264681796b223abff3072 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 90 Depends: neurodebian-popularity-contest, python3-pyparsing (>= 2.0.1+dfsg1-1), python3:any (>= 3.3.2-2~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python3-pydot_1.2.3-1.1~nd90+1_all.deb Size: 21384 SHA256: 967488b4d5ee698464e32c7b85790f4d78e7ed665edd66a9101323e2e648a6b0 SHA1: fddacc1bbce427f36a190ec2d9137936f1993340 MD5sum: 6c39d28441cdd7baa23040936fe7f787 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~nd90+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~nd90+1_all.deb Size: 20404 SHA256: 12b704739898d2b193ea277558eecd60096a3c3c5aa9331d21e29e9b2f06d17c SHA1: 31c368d195fcb20d56170859e6ce08e80c6c3128 MD5sum: b0e795a1f78fe6a82ff9df31a89b04c5 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-pyfakefs Source: python-pyfakefs Version: 4.3.3-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 991 Depends: neurodebian-popularity-contest, python3:any Homepage: http://pyfakefs.org/ Priority: optional Section: python Filename: pool/main/p/python-pyfakefs/python3-pyfakefs_4.3.3-1+nd1~nd90+1_all.deb Size: 130308 SHA256: a7b23ac8b435d82f117af87855a51e44062287547c69d25eab70c7d8cbced6d0 SHA1: 500c30653dc3f17e8b4589b2d2e3ddd27d0650e0 MD5sum: f6358652aa4f28ec0fb32737067f382f Description: fake fs that mocks the Python file system modules - Python 3 pyfakefs implements a fake file system that mocks the Python file system modules. Using pyfakefs, your tests operate on a fake file system in memory without touching the real disk. The software under test requires no modification to work with pyfakefs. . This package contains the Python 3.x module. Package: python3-pygraphviz Source: python-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 393 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.3.2-2~), libc6 (>= 2.14), libcdt5, 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_amd64.deb Size: 74208 SHA256: 6976afcd06527850cb5cb79d7bf6894b004ebb6093a596ef909fb92e22e92d06 SHA1: 9c76ac3b5b668089473de68c170d187e9be4a77e MD5sum: 4607aa7d7e4f7b41798d80e21e83a65b 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 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 309 Depends: neurodebian-popularity-contest, python3-pygraphviz (= 1.3.1-1~nd90+1), python3-dbg, libc6 (>= 2.14), libcdt5, 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_amd64.deb Size: 113158 SHA256: 455fd2e109de35d5e59ee1e9cef4a8a4ffbaa572b961219e43747b318326713f SHA1: cbc709b9409fe3bbafb25ce6a699f0106e182980 MD5sum: e38546e9c118686980bb415faa06a766 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: 7d50c8a87011eda56b077feee168d5fa50943389 Package: python3-pynwb Source: pynwb Version: 0.5.1-1~nd90+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~nd90+1_all.deb Size: 98348 SHA256: 96053951f98be4bdb1263bb1330536da991e9e03af5f65344744d3f3940014e5 SHA1: 2aa36308f2a2e3d12f2d053b3885502f19fe9157 MD5sum: a370167ceb86b2660ffc6b8385773300 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~nd90+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~nd90+1_all.deb Size: 9528 SHA256: dd277b4408ae46a0fffef0a148edc08874d8af213c4cde2133d7f1980f9232de SHA1: 010c7d2c1431b8cb2c9cf1272649606326d42a5c MD5sum: e582f0ad2d7fd17f1d1c0a1ff0040a35 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 Source: pytest Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 648 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3-py (>= 1.4.29), python3:any (>= 3.3.2-2~) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python3-pytest_3.0.4-1~nd90+1_all.deb Size: 181274 SHA256: 5de0aec6918d800e1fd43359797f7fdaea2328282c95786d98259316b74cc730 SHA1: 4a843351dbcc71a320c1e783274d895486c944aa MD5sum: 6f74b0bcff928378445733f6219e8b06 Description: Simple, powerful testing in Python3 This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the Python 3 module and the py.test-3 script. Package: python3-pytest-localserver Source: pytest-localserver Version: 0.3.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python3-pytest, python3-werkzeug (>= 0.10), python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/pytest-localserver Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python3-pytest-localserver_0.3.4-1~nd90+1_all.deb Size: 18238 SHA256: ae2dc72d9a97c9d8d71bbc222a18030530c065e0bf309bbbda1844271195fabb SHA1: 4d9501a6f30c0c709c453e1d98464bd1f8131b54 MD5sum: 8c29f136aad81be7440f9ab8fcdfc5dc Description: py.test plugin to test server connections locally (Python 3) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 3. Package: python3-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 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_all.deb Size: 5734 SHA256: 8ab0046915b5cf9640e19a16d43ce44f498fd01fb0a365be49c8aaa1c30ef57a SHA1: c81514d37073e109155141a339b73c41e2b1e7fa MD5sum: 6955e8fad9eb8dcc0b1a8e6690a1f171 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-pyxid Source: pyxid Version: 1.0-4~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest, python3-serial, python3:any, python3 Homepage: https://github.com/cedrus-opensource/pyxid Priority: optional Section: python Filename: pool/main/p/pyxid/python3-pyxid_1.0-4~nd90+1_all.deb Size: 10882 SHA256: 632f96ae741a5fd901bd90177ec2a95db5d949207a15abe5eb6b780b91d77070 SHA1: 7ea784e441ef62cd2f4a0c03b6e685f02beb657e MD5sum: 7560542516a20fe3c565e28b043863ba Description: interface for Cedrus XID and StimTracker devices pyxid is a Python library for interfacing with Cedrus XID (eXperiment Interface Device) and StimTracker devices. XID devices are used in software such as SuperLab, Presentation, and ePrime for receiving input as part of stimulus/response testing experiments. . pyxid handles all of the low level device handling for XID devices in Python projects. Package: python3-rdflib Source: rdflib Version: 4.2.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1252 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~nd90+1_all.deb Size: 252048 SHA256: 39321bf2e157ff159e678dc88f5d9ec33ae39227bbc2edd36e2a7a53c6b3aca1 SHA1: 486b9dc0cd690b9429e4f6eda3b8805d3a7cb993 MD5sum: 98f485c529ef6f33f6172464f9c1eae5 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 176 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3-requests, python3-rpaths, python3-usagestats, python3-yaml, python3:any (>= 3.3.2-2~), libc6 (>= 2.14), 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~nd90+1_amd64.deb Size: 46162 SHA256: d862548d97b1a2279d2799e3bdb0c66093683536862501dca212bde45189e417 SHA1: 028326bb6e9b2cf9f8a6cc86f1bcf94adc5f0620 MD5sum: b7c59201098f102a897a91c52e1bc61c 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 259 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.6), python3-dbg (>= 3.5~), python3-dbg:any (>= 3.3~), libc6 (>= 2.14), libsqlite3-0 (>= 3.5.9), python3-reprozip (= 1.0.14-1~nd90+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~nd90+1_amd64.deb Size: 112088 SHA256: 8f6c42041dfaf1af34055ff7230c2eb0cfdbb509d0b2e52fc7ee0d990ef5b060 SHA1: 541871440e80be01149cebf35758cadae21763e0 MD5sum: 701156b459771a032b4195eeac9f9ed6 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: f6ef20dd5a001e52424ff2a35212cbb453aa03d5 Package: python3-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+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_all.deb Size: 67940 SHA256: 43927328370c4444f71d4510e56db1e965b112fc1428eaf0d78ea34ba4601381 SHA1: 9764b391ab8de24268e61c77a6c84bf06addc025 MD5sum: 2d69be367bff3ee349de9829c62671c2 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-rpaths-doc Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: python Filename: pool/main/p/python-rpaths/python3-rpaths_0.13-1~nd90+1_all.deb Size: 14200 SHA256: b9d4c0a3772a3ed5f8fc0348ad644bed725d4821a3c0cc53f4201c93dfcfd094 SHA1: 76a0c9314a342946d8d0b24e20f8391cdfdabab3 MD5sum: 9f34a390331524cd57f3776da3ff581e Description: cross-platform path manipulation library for Python rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the modules for Python 3. Package: python3-seaborn Source: seaborn Version: 0.7.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 766 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-pandas, python3-matplotlib Recommends: python3-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python3-seaborn_0.7.1-2~nd90+1_all.deb Size: 128260 SHA256: 3ae4607fd3634bf9f7ce534dab326ab37dc84945ee418fa33d3ebf01abf82713 SHA1: ea4143ab8d4c48a2b99a7453604be6b783455f57 MD5sum: 6c7f2f2cad4b2c31a973a7ddb0affffe Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 3 version of the package. Package: python3-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, python3-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+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_all.deb Size: 121936 SHA256: b458e8cb77f28361540be6a5b849e215223dead5eb4dfdcc079f0841317dc526 SHA1: ec920053b9f88e95dcb5df9574fba18cbb06cc8a MD5sum: d7b17b365b42d08807a5da9cf6a4f6aa 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 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_all.deb Size: 11508 SHA256: 2730e344dba8d1a2aba862116e1a7f04401a3d60f55c7b3711a0f38eab6d9e9c SHA1: a3d1c80be76a5d5707c55d8dfcbb9151c5d1bbc1 MD5sum: 2ebfe54cfd23e1c418056e26342aff1e 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.10.0-3~bpo8+1~nd90+1_all.deb Size: 14734 SHA256: 7750d1c60e1556f2f59c793f67e1c5b06a4597310a8cff14d786ddc4c4c2424e SHA1: a624eeb79db30001331a0d0ce04aad4c516a1821 MD5sum: 29fa8028f32ebbff045c963949b05e71 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~nd90+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~nd90+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~nd90+1_all.deb Size: 1457326 SHA256: b29a70b3f7260bcdc0d405120bfb1ec46ae1dc1b99fd76bcf7068be233f02b78 SHA1: 1595d5a5f65f6e531fd877ad16cd70be892e25d4 MD5sum: f10f8554d13b2a53675b770467d44251 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6189 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.19.2-1~nd90+1_amd64.deb Size: 1462014 SHA256: 3e37d69acc6ccf30201a485016d51cf1cfabcd2f49a2784b78cb5587c0dbef21 SHA1: dee251962efde00d7249e2790f5d9d3ff8cf4565 MD5sum: c395475bd7c8934957a0d4fd7f95f136 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-sklearn-lib-dbgsym Source: scikit-learn Version: 0.19.2-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7061 Depends: python3-sklearn-lib (= 0.19.2-1~nd90+1) Homepage: http://scikit-learn.sourceforge.net Priority: extra Section: debug Filename: pool/main/s/scikit-learn/python3-sklearn-lib-dbgsym_0.19.2-1~nd90+1_amd64.deb Size: 6179662 SHA256: 9fdb6a422cb478e9ca9dfda32e81f149a2c7133fa8ee666feeed1f6e8171c94f SHA1: 55d57f676a1af896ca769b53dfbafd889d1e0917 MD5sum: 980c839104357057c991d505ac421960 Description: Debug symbols for python3-sklearn-lib Build-Ids: 0a09776e421e97f9dd85fce61df80fabf3bd10c7 33c37b1cba433e5e2544f56590d5dad18f82e025 373da3dc2c299cc1f00348a511b5d1a36543c8e3 4e7a035187c9f5154a9f65ceea744a9713268d92 4f20616f832e93ddac00dfc91b6be462207d4d68 51c0685dc1692c705548e1af8c376f86ff8463ae 54106a731711d2511aa8f5649c1ce76f19479d0e 5780b0600ea857accebc9a0403535142077475b9 5cc12af8537edc847c59f215a95cc2fd88c43a9e 5efce01a9ccf3f9a6dad374cd1fcf3861ea7b02d 6c716db7e89a259a57e3a321dc87e5216eeda488 6d8bd832f6e784d7a8ac43d2da0ea24639143f9c 75f13cc310162baf279d879e62ff98ff440e7608 77fc384d4e23bf604231ba9c8355b39e805a9212 7c8568d63ac8cd6896f9e13752e059d948e3e6f3 7dcc3a87ecb98948d3dc3fb0524313524d3294ef 81a3250ae089693b18fb8e3e696413219be62af0 81fec3fd4afd4fbc70817138832369e77e049b1b 86b4dae6d67d7b5226eb08e4dd046fdbf3d1331a 86e19b4d2f945e1b0471d74b78fbd339168b84f7 86f2cd4e2c83c181f7992a680fca96c5e0fb8b8a 89b2cc11b79262492019db8f7a0bf69f40638189 93ae236680109877cd2af01443726a3173692e6d 94c04c3a3212356488aff289f4569322bee1c2d7 966c63b23941123cf41e2a790a842c63f3341809 ab760cc154b93a0b4ccce4b3a798954fb56421c2 af2579bed0f893d2da1b52d841c4e5539a52a076 af37f130f54161e8df3387f4c3fea3aecaa7f526 b804cb49d22a2cbd779ba71fd8c3b04c35f8c1b6 bc6809ec87ed3d5b9058a864a7e77f9bdae86621 bd0671d686211cf50cdb4ce931c76fa1f27ab527 c0e893a614e3b9fcc75025e12e156faafbb18728 cc3d73537ba5a8ad9a285d30de72623baaacf0a4 d08bf86ca0874ea6c567ed8c5a144594e0ecd505 d0a2865788baf54a2d3242d01322f7e6a8e99fb9 d3e57f2b589db0e78cf741a506bf68893dff1e4d d68b5c4554327e2dd9d77465e14dec0c974d8d2a e90c094d4eb2881c3b0872bd34cbaa4f76346207 ed412f84fff60572b86d3741c4671e69a41ee6f7 fdc4a6ed7bcce76ea11bbbb85afa3b037fcddfda Package: python3-smmap Source: python-smmap Version: 2.0.1-1~nd90+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_all.deb Size: 20128 SHA256: e5dee063d91ac292f90831a3b5181820a6e8c4f57b85203ac4a8c36a5ffad5b1 SHA1: ec6672729b868ff5e661a9d926764e5ff8d755d0 MD5sum: eba7765fdb8a608c2f63f32e4f8c6778 Description: pure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 3. Package: python3-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python3-rdflib, python3:any (>= 3.3.2-2~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python3-sparqlwrapper_1.7.6-3~nd90+1_all.deb Size: 22592 SHA256: f688daeaa6142b5d9fe374c24c7da3dd79894b7680a79f7e71852b112a299b2c SHA1: 05cb34c3982bf12a86089c1689ae00bfbb935ad6 MD5sum: a2f17b41b96a4fa8f38fcdd857dd807f Description: SPARQL endpoint interface to Python3 This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 3 version of the package. Package: python3-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd90+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~nd90+1_all.deb Size: 71932 SHA256: 58d7f4df337ca596b8551ba45fc223f9113a6ea96ee390afb72b4202d71ef741 SHA1: 20a1dae1e72d1a76cd04a1bf1bfbb6f450d73b89 MD5sum: fa6b466a67ee671c76825a6f8bd2d479 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 359 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_all.deb Size: 117208 SHA256: 16750e72490dfd83a69334d631b79056b547727b706529f6eb8eb2d1fbca5443 SHA1: 0f30cc73b8863ed74a3e4aa8ac6e2ba911bfff3b MD5sum: bd47026d57bfab7cdccbd9a6f3211976 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~nd90+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~nd90+1_all.deb Size: 2575114 SHA256: 1443d46aa0567202bbf4b47fdf9063742872046551a4ed71620313d3dd7281b5 SHA1: a070c80664a50ef29e03f25faa2acebf892b6ba5 MD5sum: b1432d149e615d6a4cd5a9d3a2356be4 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-tables Source: pytables Version: 3.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2791 Depends: neurodebian-popularity-contest, python3-numpy, python3-numexpr, python3:any (>= 3.3.2-2~), python3-tables-lib (>= 3.2.1-1~nd90+1), python3-tables-lib (<< 3.2.1-1~nd90+1.1~), python-tables-data (= 3.2.1-1~nd90+1) Suggests: python-tables-doc, python-netcdf, vitables Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python3-tables_3.2.1-1~nd90+1_all.deb Size: 334588 SHA256: e7ed085c96cfd227c9cc95eebc50aeffe52a4c1ed7c7b58f5bff63e6621b8625 SHA1: 02e6c841145e979f6f500de3a160740e6ce03577 MD5sum: 4d9654daf36f879161599612f3df2460 Description: hierarchical database for Python3 based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 3 version of the package. Package: python3-tables-dbg Source: pytables Version: 3.2.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1570 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3-dbg (<< 3.5), python3-dbg (>= 3.4~), libbz2-1.0, libc6 (>= 2.14), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1, zlib1g (>= 1:1.1.4), python3-tables (= 3.2.1-1~nd90+1), python3-tables-lib (= 3.2.1-1~nd90+1), python3-numpy-dbg, python3-numexpr-dbg Suggests: python-tables-doc, python-netcdf Homepage: http://www.pytables.org Priority: extra Section: debug Filename: pool/main/p/pytables/python3-tables-dbg_3.2.1-1~nd90+1_amd64.deb Size: 467632 SHA256: 552005f75cc618389620246bda09aa63bdf07a27e1173827b38d79840c99fc15 SHA1: a22eb0b8e89baff1b962c83a0eb5fd6070cb58e1 MD5sum: 63c9d5576454f9c78faba3eee79d9efb Description: hierarchical database for Python 3 based on HDF5 (debug extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 3 debug interpreter. Package: python3-tables-lib Source: pytables Version: 3.2.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1326 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.5), python3 (>= 3.4~), libbz2-1.0, libc6 (>= 2.14), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1, zlib1g (>= 1:1.1.4) Recommends: python3-tables (= 3.2.1-1~nd90+1) Breaks: python3-tables (<< 3.0.0-3) Replaces: python3-tables (<< 3.0.0-3) Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python3-tables-lib_3.2.1-1~nd90+1_amd64.deb Size: 367938 SHA256: d5f698937a4eaf5c1ff5de438e874a493bd1150f10d162b123def73310c50ab5 SHA1: 32d216540d22928262fc50658e3a369979dd6596 MD5sum: f111472acebbfa97b5ac57e148b33d8f Description: hierarchical database for Python3 based on HDF5 (extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 3 interpreter. Package: python3-tqdm Source: tqdm Version: 4.11.2-1~nd90+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_all.deb Size: 49944 SHA256: cb3dcf3779f2af5d373ec11e02397f1d70bbbea7663784db2420d17d5eb908a2 SHA1: 075fbd0ec84fa3b32c84ef2b6879f56d6d658fd6 MD5sum: c064aa4f2b4be341aa9027c82bc77595 Description: fast, extensible progress bar for Python 3 and CLI tool tqdm (read taqadum, تقدّم) means “progress” in Arabic. tqdm instantly makes your loops show a smart progress meter, just by wrapping any iterable with "tqdm(iterable)". . This package contains the Python 3 version of tqdm and its command-line tool. Package: python3-tz Source: python-tz Version: 2012c-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 Depends: neurodebian-popularity-contest, tzdata, python3:any (>= 3.3.2-2~) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python3-tz_2012c-1~nd70+1+nd90+1_all.deb Size: 25318 SHA256: f3b641a1dccf7188209fbbd4b68c9462e4cfc35e8c371603ac02a451676c132e SHA1: 04ab5dc0076b526b09c4b1ae563c20f70636fba2 MD5sum: 34437b0794a75cccfcbca371eb5db224 Description: Python3 version of the Olson timezone database python-tz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo). . This package contains the Python 3 version of the library. Package: python3-urllib3 Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1 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_all.deb Size: 65466 SHA256: bbb44abbce94bdc29c3ceab0218941d63180e4a2f96aaf045b76226cf2f1dbee SHA1: ad6a46b318f4b457f86958a7480f14b581a6ec50 MD5sum: 382074cc1ff3d1bb638d14595df0d213 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 157 Depends: neurodebian-popularity-contest, python3-six (>= 1.5), python3-wrapt, python3-yaml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python3-vcr_1.7.3-1.0.1~nd90+1_all.deb Size: 43596 SHA256: d4eb47e29c624f66b0e2cf6d0c3d30a7ab13e0fb50d30735693c46e38bc7f5b7 SHA1: ef87422db4cbcb229e68dce4c080ee274210421e MD5sum: 786cfa64706c4543ce3dcaf15b5e1a4b 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 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_all.deb Size: 14190 SHA256: 936b5cf9912553d27c7f1f2995ad57113ae0d0e50748a86b8b34d94a95210adb SHA1: c323083c3fd7909615fd05c74cf34df27c849b99 MD5sum: eabd0e00c9049ae6861823d2a2f35e24 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 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 765 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_all.deb Size: 165550 SHA256: baff81afd62f70d40a88d0730c28c741d896df6817923fc5c1c750b479ad7f7f SHA1: e64561b10bba46f959268074a0f6591208c7c5b9 MD5sum: 4831b3c44099af4fb3c32d574576b5a4 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~nd90+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~nd90+1_all.deb Size: 290788 SHA256: a575aabe1834e6e10910cb4c3560b87784f3c1c7327df9900b8ce07ec030789d SHA1: 76d1cfb92746142f7e8ac9ffd828d975f29df5f3 MD5sum: 618172f0d57ed3614d5b8a309c1bb682 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, python3-six, python3 (<< 3.6), python3 (>= 3.5~), 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~nd90+1_amd64.deb Size: 31946 SHA256: 23c017a3b6d631631485ab2f3c8684f2be5d28e0c5a7897e0a20ab875ececb87 SHA1: e50712eb4d60f1cdde4a0cbc220f678351c4a1e8 MD5sum: 4f362dc9a23d088ad7b5a3e9df03d6e5 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-wrapt-dbgsym Source: python-wrapt Version: 1.9.0-4~nd0~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 54 Depends: python3-wrapt (= 1.9.0-4~nd0~nd90+1) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: extra Section: debug Filename: pool/main/p/python-wrapt/python3-wrapt-dbgsym_1.9.0-4~nd0~nd90+1_amd64.deb Size: 31536 SHA256: fd394ceec1b476aa9402d7c43bbd8c45a255bf291a9366c23c96fe4a5fecf8f0 SHA1: 0c185c89447b2a0ec0061bfafc080a65fbcb4de5 MD5sum: 341234b6e13f7f89592449eedaaf97ac Description: Debug symbols for python3-wrapt Build-Ids: 172659ce11c99cacfd87e305e0ea461932980a7c Package: python3-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 448 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python3-xlwt_1.3.0-2~nd0~nd90+1_all.deb Size: 86166 SHA256: b258f9ec8fdd13285b32a2be6c5732d899b95c685e94574b7198421ae7a159ba SHA1: 603bbbce5738362cfc784ab0766633cbadf9efec MD5sum: e4922f4782068ef5dba7f9563583f852 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: qnifti2dicom Source: nifti2dicom Version: 0.4.9-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3283 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.6, libqt5core5a (>= 5.0.2), libqt5gui5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 4.9), libvtk6.1, nifti2dicom (= 0.4.9-1~nd80+1+nd90+1), nifti2dicom-data (= 0.4.9-1~nd80+1+nd90+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/qnifti2dicom_0.4.9-1~nd80+1+nd90+1_amd64.deb Size: 489638 SHA256: 478e38858ae8484f82e6aa8ce2ba117d62225066e382187de0497e6be54e595c SHA1: 19792933e37b1a591f64742ecb0ff70b8dd62c8a MD5sum: 37e4a54f93d1292a18fd1e3ddf14aef5 Description: convert 3D medical images to DICOM 2D series (gui) Nifti2Dicom is a convertion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS. . This package contains the Qt4 GUI. Package: rclone Version: 1.41-1~ndall0 Architecture: amd64 Maintainer: Debian Go Packaging Team Installed-Size: 19633 Depends: libc6 (>= 2.3.2) 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_amd64.deb Size: 4810068 SHA256: b62160db730a2285a36444f0eb30a9f4c6a67957e03fff27de9cc3f8a7ecd689 SHA1: 68368135f21e5fa81d2904f9391054208697d5b3 MD5sum: f58523511ec0a1334697803e366f753e 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 341 Depends: neurodebian-popularity-contest, guile-2.0-libs, libc6 (>= 2.17), libgc1c2 (>= 1:7.2d), 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~nd90+1_amd64.deb Size: 157524 SHA256: a4ceffc3c7ffe08cd62cbc51cdba6462034ce555d4f900b4efc6b53b4ade483b SHA1: 77390a0d8d7e175e6ba71b3f48094a0737f0f80f MD5sum: c687925e7f0891a4480b43e2a373189c 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: remake-dbgsym Source: remake Version: 4.1+dbg1.3~dfsg.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 357 Depends: remake (= 4.1+dbg1.3~dfsg.1-1~nd90+1) Homepage: http://bashdb.sourceforge.net/remake Priority: extra Section: debug Filename: pool/main/r/remake/remake-dbgsym_4.1+dbg1.3~dfsg.1-1~nd90+1_amd64.deb Size: 318416 SHA256: a1d10eb255c59ecd4b229f048bd8ee48f7fafe6421ec90750c8676eebb32071a SHA1: d1bbc6b3b90c5b6b32563bfddb3b5f06f741749d MD5sum: 83aa3a7a9d2aeaba1e869605c0f2c2a1 Description: Debug symbols for remake Build-Ids: 30f2d5bff2dea4db058c21959b940c36c08dbd45 Package: reprozip Version: 1.0.14-1~nd90+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~nd90+1_all.deb Size: 3548 SHA256: c64d7bc0993474af6ea987f7d642b14fd488bcf42c5e6d4ed0b5b78bac412fb9 SHA1: a68785bab1a8daad1a07904f536521a4d06f7713 MD5sum: d8345993b2bdb221201274ad96df60de 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~nd90+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~nd90+1_all.deb Size: 183780 SHA256: 01aa60316a2daa844a2af5990de75d6ca9e41d6a2ca72d0ed325156ba9b2d916 SHA1: 31c0f41adb8b665c45cf96c0a9113df6e06885dc MD5sum: 52b034393637390366ae39ffa09f8e9d Description: AsciiDoc to HTML rendering for Ruby (core libraries) Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. . This package contains the library files used by the asciidoctor package. Ruby-Versions: all Package: s3cmd Version: 2.1.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 491 Depends: neurodebian-popularity-contest, python3-dateutil, python3-magic, python3:any Homepage: https://s3tools.org/s3cmd Priority: optional Section: utils Filename: pool/main/s/s3cmd/s3cmd_2.1.0-2~nd90+1_all.deb Size: 115744 SHA256: 6b89918019c782d2fe28abc58232aaef022e2610cb974637e86724d30b80e179 SHA1: 4ce92222c21fb43c6b5012cee73e041dde4ec38c MD5sum: 5f595ee8c63fdab14577e1366843e8a2 Description: command-line Amazon S3 client Command-line tool to upload, retrieve and manage data in Amazon S3 service (http://www.amazon.com/s3/), designed for use in scripts. Features: - creating and destroying S3 buckets - uploading and downloading files - listing remote files - removing remote files - synchronizing local directories to S3 buckets - getting various information about buckets and disk usage . s3cmd supports both (US and EU) S3 datacentres. Package: sigviewer Version: 0.5.1+svn556-3~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 983 Depends: neurodebian-popularity-contest, libbiosig1, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.8.0), libqtgui4 (>= 4:4.6.1), libstdc++6 (>= 4.6) Homepage: http://sigviewer.sourceforge.net Priority: extra Section: science Filename: pool/main/s/sigviewer/sigviewer_0.5.1+svn556-3~nd80+1+nd90+1_amd64.deb Size: 332454 SHA256: 35be9ec022879af53f6eeff134ec7d7c40c1bfc5d4e4e17f0de19afa4591df19 SHA1: b8411391e09dd9a69182825586e67cacbbbc2f6a MD5sum: 7e8dc2c2042de4f826ead3daac4022ae Description: GUI viewer for biosignals such as EEG, EMG, and ECG SigViewer is a viewing and scoring software for biomedical signal data. It relies on biosig4c++ library which supports a number of data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . Besides displaying biosignals, SigViewer supports creating annotations to select artifacts or specific events. Package: singularity-container Version: 2.6.1-2+nd2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2517 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+nd2~nd90+1_amd64.deb Size: 349514 SHA256: 53b09549110b9673ed43f1f34b82fe9c8204bf8d148b67d00d2d04df283f821a SHA1: 00d952ca3cb485133456e0079152a226db187c8c MD5sum: d0c7288f3995c4d653349cee3cfb75fe Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container-dbgsym Source: singularity-container Version: 2.6.1-2+nd2~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1215 Depends: singularity-container (= 2.6.1-2+nd2~nd90+1) Priority: optional Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.6.1-2+nd2~nd90+1_amd64.deb Size: 962132 SHA256: 3d43a82bac66b06fbf7ea2478039da7f74dca2b27522210f56b9df6c1f1d26e3 SHA1: ee5952bea0dbed49f5d1c709ce645b58a4f74ce4 MD5sum: 2d197c8d6789f2341106e59316e6a36b Description: debug symbols for singularity-container Build-Ids: 1517559fa065dc9b417176763fcefb58924a2f72 2d4ad1f1a777fe6693787d7f6a4f6aeb8a2e0307 6fefe73986fec935aaee99fa43ab7afa773c4879 7f3259bf0ba958e56cc0eaeffe46dc761f83700e 83361a47eb3374d35d7753b9e90feebc20a3c715 8876dfa4f45f3c6e399e6120cb7f3f3fd723a5fd 9f55a4e336b96b68391b784aeba3ae930849741b a35d74c05a8c0e69f39bb006ff49cce72f900beb a430eb545233eda5696f626c4d65879a5d89a423 a53324598a53c189c61315891c5570047e6815b4 b9be8c3a88119cd5a916b7a893fa0fabb856b8c4 ca0022f9ead1c93281fd8c2bb53d0bd3f01188c4 d4756541d3442fd893fa1bd4b8defeeb981d1dae dd1dcb0f2b91e0c96c47a0cc0e817ba73f6babed e2e30acd0d730d255db1ea9959d8ca833da7e5d8 Package: spm8-common Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 19187 Depends: neurodebian-popularity-contest Recommends: spm8-data, spm8-doc Priority: extra Section: science Filename: pool/main/s/spm8/spm8-common_8.5236~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 9748000 SHA256: 680f43e45495a677b3c38f5e3709ec28b4ad877e4315eeff99fe2582ea1fcb7c SHA1: ceac6e0f3811c55e8125edbe21b3efdaf1a16e12 MD5sum: 244ac5f32442def5cfc872ea3f873f88 Description: analysis of brain imaging data sequences Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the platform-independent M-files. Package: spm8-data Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73020 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.5236~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 45492378 SHA256: aa9b3d42abaacaa7d476fd31e6d9af9abf9aadfca4f0a603b0369bb26a3c8dc5 SHA1: 0725897b8a1f9fa64abe092992fb35dbcfcd5270 MD5sum: 746ebce5f1c0180331a6be5e080b959c Description: data files for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provide the data files shipped with the SPM distribution, such as various stereotaxic brain space templates and EEG channel setups. Package: spm8-doc Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 9252 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.5236~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 8934900 SHA256: 4a07f5603644623f064ef741e279bc7c152ea20cc5a134ecd4734b7958e37836 SHA1: a37985ea601c14ce314860c55a42f45fd00405de MD5sum: 40142910687b4dfbbac3805fe593d0d6 Description: manual for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the SPM manual in PDF format. Package: spyder Version: 2.2.5+dfsg-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, python:any, python-spyderlib (= 2.2.5+dfsg-1~nd80+1+nd90+1) Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: devel Filename: pool/main/s/spyder/spyder_2.2.5+dfsg-1~nd80+1+nd90+1_all.deb Size: 53012 SHA256: b2dc7e51ef78e68819125e10a50cd4ea706a77ba409e0bb27fca9b63c8a34c5f SHA1: c6e5131a5eaafdf8960050d01e2812ba76c94730 MD5sum: 74994062b3b51941db390ea57c13b8e8 Description: python IDE for scientists Spyder (previously known as Pydee) is a free open-source Python development environment providing MATLAB-like features in a simple and light-weighted software Package: spykeviewer Version: 0.4.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1962 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-guidata, python-guiqwt (>= 2.1.4), python-spyderlib, python-spykeutils (>= 0.4.0), python-neo (>= 0.2.1), python-matplotlib, python-scipy, python-nose, python-sphinx, python-tables Recommends: libjs-jquery, libjs-underscore, ipython-qtconsole (>= 0.12) Homepage: http://www.ni.tu-berlin.de/software/spykeviewer Priority: extra Section: python Filename: pool/main/s/spykeviewer/spykeviewer_0.4.4-1~nd90+1_all.deb Size: 1291112 SHA256: 2e83375531323c142b40cfbbcf0ecd5dc636a6d7a9e2529ad8e420d5946829ce SHA1: d83259f4f990fe9a0786aa922d110fe735d98ac9 MD5sum: fb561409c7b2eb55831da4fc16996663 Description: graphical utility for analyzing electrophysiological data Spyke Viewer is a multi-platform GUI application for navigating, analyzing and visualizing electrophysiological datasets. Based on the Neo framework, it works with a wide variety of data formats. Spyke Viewer includes an integrated Python console and a plugin system for custom analyses and plots. Package: stabilitycalc Version: 0.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 134 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy, python-nifti Recommends: python-dicom Homepage: https://github.com/bbfrederick/stabilitycalc Priority: extra Section: science Filename: pool/main/s/stabilitycalc/stabilitycalc_0.1-1~nd70+1+nd90+1_all.deb Size: 22486 SHA256: 8766352aac1f4ad1638c04104058b2872d436a43f15fb3a43f84ea9c99ce5787 SHA1: ab2985bd761da2904cfdddb227bf81a1b91534d0 MD5sum: 8d9b482369a29f4801e6ef1119852fcd Description: evaluate fMRI scanner stability Command-line tools to calculate numerous fMRI scanner stability metrics, based on the FBIRN quality assurance test protocal. Any 4D volumetric timeseries image in NIfTI format is support input. Output is a rich HTML report. Python-Version: 2.7 Package: stimfit Version: 0.15.8-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3311 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod3 (>= 4.5.2), 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 (>= 3.0.2+dfsg), libwxgtk3.0-0v5 (>= 3.0.2+dfsg), zlib1g (>= 1:1.1.4), 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~nd90+1_amd64.deb Size: 914114 SHA256: ab49e3e88a575617d89ae6294ded261a093e561f17320216e1cdb093e7087dec SHA1: a9823b85a76da7f11d173f9eba5fcd3348282c1e MD5sum: f290946ab865901424335f610580698d 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8457 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~nd90+1_amd64.deb Size: 8219282 SHA256: 2cbdf2d46fbd185a480e37a68267b306200a8d6150045a945f170b7a1ef0a499 SHA1: fe20a282e41f7211d01387a32b095f650c018cf1 MD5sum: f2f2d9a59e6b964992108689c3e87f7a 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: 4ec8d09edf54969c77d5215bd39ceade9aab591b 7305afe91f8eff37cea3e5d50cb803588b66d79d 76a79c5fee4341ecf1a96d2e4bdcd7192b1fcaf5 b1359baeee611228e69d1036ba0950a1b0cde974 b3bfba19b86771314bcea556b5d4065b31fd5c82 b97a866cc8f8c065a1ec43c893d22065d95083d5 Package: svgtune Version: 0.3.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest, python3, python3-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.3.1-1~nd90+1_all.deb Size: 7480 SHA256: a7d7c54cebc5670fd0b2b0384fb9fe7d1848d0f6703c94c73d725383ea70f449 SHA1: e4bbc2bd3374a0be56742af0222627dc2b47b5dc MD5sum: 45752e8751381b07b26a3e6556e5727c Description: tool to generate a set of .svg files out of a single .svg file svgtune is a little helper to generate a set of .svg files out of a single .svg file, by tuning respective groups/layers visibility, transparency or anything else. . It might come very handy for generation of incremental figures to be embedded into the presentation in any format which inkscape could render using original .svg file (e.g. pdf, png). Package: tigervnc-common Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 175 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libsm6, libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6 (>= 2:1.4.99.1), libxext6, zlib1g (>= 1:1.1.4) Conflicts: tigervnc-server (<< 1.1.90), tigervnc-viewer (<< 1.1.90) Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-common_1.5.0-1~nd90+1_amd64.deb Size: 61894 SHA256: da43e547a1c2e05bbab57ace8b063195a53b6c643b31f11f9d9e7a85d1b947f7 SHA1: eac51c532490fdbc1eeb189cdd138cd5e116ab54 MD5sum: 9abfd4f712e604e87ae0afd56f475e57 Description: Virtual network computing; Common software needed by clients and servers VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It is implemented in a client/server model. This package provides the common software for both client and server. Package: tigervnc-scraping-server Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 505 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libsm6, libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxdamage1 (>= 1:1.1), libxext6, libxtst6, zlib1g (>= 1:1.1.4) Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-scraping-server_1.5.0-1~nd90+1_amd64.deb Size: 181130 SHA256: 0fcd0b335bfba66c37dc3388510a61df380295fb0e5382084b1bad38a0ff5857 SHA1: 31e81769d254347294d6ebc135755a2ce692bb14 MD5sum: 569458aab6b360aa8d75615282b2eb89 Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . This package provides a vncserver which uses screen scraping of an already running X server to provide its VNC desktop. The VNC desktop can be viewed by any vncviewer even on other operating systems. . Note: If you only want to scrap your local X11 server, you should consider the tigervnc-xorg-extension package. This package provides the vnc extension for your local X11 server. The usage of this extension is more efficient than a scraping vnc server. Package: tigervnc-standalone-server Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2510 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libaudit1 (>= 1:2.2.1), libc6 (>= 2.17), libgcc1 (>= 1:4.1.1), libgcrypt20 (>= 1.6.1), libgl1-mesa-glx | libgl1, libgnutls-deb0-28 (>= 3.3.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libpixman-1-0 (>= 0.30.0), libselinux1 (>= 2.0.82), libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxau6, libxdmcp6, libxfont1 (>= 1:1.4.2), libxshmfence1, zlib1g (>= 1:1.1.4), perl Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-standalone-server_1.5.0-1~nd90+1_amd64.deb Size: 960366 SHA256: 5370770614d983ad6dc9c26ea6e6c753253838975ebada585084b1dd0b9f2794 SHA1: faca57d070135a47404219ddb5ccd9130a107eba MD5sum: 9cbae2076798f4b2fb56d527a3b5e5cf Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . This package provides a standalone vncserver to which X clients can connect. The server generates a display that can be viewed with a vncviewer. . Note: This server does not need a display. You need a vncviewer to see something. This viewer may also be on a computer running other operating systems. Package: tigervnc-viewer Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 422 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), tigervnc-common, libc6 (>= 2.15), libfltk-images1.3 (>= 1.3.3), libfltk1.3 (>= 1.3.3), libfontconfig1 (>= 2.11), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxcursor1 (>> 1.1.2), libxext6, libxfixes3, libxft2 (>> 2.1.1), libxinerama1, libxrender1, zlib1g (>= 1:1.1.4) Provides: vnc-viewer Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-viewer_1.5.0-1~nd90+1_amd64.deb Size: 154906 SHA256: 0cb2c46f33fcf5bb92985293ec81e73a730ae3dc0e8ffab47ff964ce6da7234f SHA1: 506d4861b37b69c60a4e4fa2c466d229ef650755 MD5sum: f1f5a1350c2d1df0844924587e4a4ab9 Description: Virtual network computing client software for X VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It is implemented in a client/server model. This package provides a vncclient for X, with this you can connect to a vncserver somewhere in the network and display its content in a window. There are vncservers available for other operating systems. Package: tigervnc-xorg-extension Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 602 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libaudit1 (>= 1:2.2.1), libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libpam0g (>= 0.99.7.1), libstdc++6 (>= 4.6) Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server, vnc-xorg-extension Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-xorg-extension_1.5.0-1~nd90+1_amd64.deb Size: 201668 SHA256: 607d8d8e35e556fe48b482eca240116c0f96ce8b991fb2c1822b8ff09bbf1352 SHA1: ed66730f3b26bb695cddde2f09f89a8d0b2abf5b MD5sum: 5f4254e8eb7f51d20c085c3fd36a5e63 Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It contains an X server connector so clients can connect to your local X desktop directly. Package: ubuntu-keyring Version: 2010.+09.30~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Recommends: gpgv Priority: important Section: misc Filename: pool/main/u/ubuntu-keyring/ubuntu-keyring_2010.+09.30~nd70+1+nd90+1_all.deb Size: 11666 SHA256: 9261b6c61e5f4c66cc1bc803a2fafddd4b76383058127496b5d6c2af04ea1b9e SHA1: 705794dc4d5af0849731d8a6ebc9d90b24b7bf19 MD5sum: efa94037736492ce55a9d611841f8bdc Description: GnuPG keys of the Ubuntu archive The Ubuntu project digitally signs its Release files. This package contains the archive keys used for that. Package: utopia-documents Version: 3.0.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 18344 Depends: neurodebian-popularity-contest, libboost-atomic1.62.0, libboost-chrono1.62.0, libboost-date-time1.62.0, libboost-python1.62.0, libboost-system1.62.0, libboost-thread1.62.0, libc6 (>= 2.14), libexpat1 (>= 2.0.1), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libpcre3, libpcrecpp0v5 (>= 7.7), libpoppler64 (>= 0.48.0), libpython2.7 (>= 2.7), libqt5concurrent5 (>= 5.0.2), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.3.0), libqt5network5 (>= 5.4.0), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5script5 (>= 5.6.0~beta), libqt5svg5 (>= 5.6.0~beta), libqt5webkit5 (>= 5.6.0~rc), libqt5widgets5 (>= 5.6.0~beta), libqt5xml5 (>= 5.0.2), libssl1.1 (>= 1.1.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4), python2.7, python:any (>= 2.7.5-5~), python-imaging, python-lxml (<< 3.0.0) | python-cssselect, python-lxml, xdg-utils, python-suds Homepage: http://utopiadocs.com Priority: optional Section: science Filename: pool/main/u/utopia-documents/utopia-documents_3.0.2-1~nd90+1_amd64.deb Size: 5523442 SHA256: 9d105118bbca58e2e535d19d6f71d671e5f029d11a109c52771c0105da46772c SHA1: d34a2ed56946cc95b678b9c0fa890eec900d2016 MD5sum: dd16c1eb6e68cb0516995eeef19e9d97 Description: PDF reader that displays interactive annotations on scientific articles Utopia Documents is a free PDF reader that connects the static content of scientific articles to the dynamic world of online content. It makes it easy to explore an article's content and claims, and investigate other recent articles that discuss the same or similar topics. . Get immediate access to an article's metadata and browse the relationship it has with the world at large. Generate a formatted citation for use in your own work, follow bibliographic links to cited articles, or get a document's related data at the click of a button. . Various extensions provide links to blogs, online data sources and to social media sites so you can see what other researchers have been saying about not only the article you're reading but its subject matter too. Package: utopia-documents-dbg Source: utopia-documents Version: 3.0.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 57192 Depends: neurodebian-popularity-contest, utopia-documents (= 3.0.2-1~nd90+1) Homepage: http://utopiadocs.com Priority: extra Section: debug Filename: pool/main/u/utopia-documents/utopia-documents-dbg_3.0.2-1~nd90+1_amd64.deb Size: 56240876 SHA256: 5904e78043912b2a410d121b678a39313091cda38817613d3cf05be485bb076d SHA1: dee1a99c5da3db6d9c530a0199e14a4075518aee MD5sum: 19d5820ef8cb4b1fff6f4d249061faac Description: debugging symbols for utopia-documents Utopia Documents is a free PDF reader that connects the static content of scientific articles to the dynamic world of online content. . This package contains the debugging symbols for utopia-documents. Build-Ids: 00c859e336f5547c4bbc0eea4186c67fdec098a7 022b845e19beae297e70a16a83eb5170b1d0ddd8 0ae7fd5566c6a6beb99bc1cd2a838110a1af0b06 0dfe286c18119a0056ea039c763e9d7e1850931d 1f951509e48bf4b63805ade0fda74085ca3f22d2 2fc9ac426ecc6c9ebf09654041792909d6bc7a95 3add6e686239dc156e82d6c114b72bae297ec073 3bafdae88c0536a25b0174029ad764898aa4773e 3e967348378cb87792c3ccdead7b081829a996e8 54ba9b7a2f40ea6f9332001cda6adf413b187699 5f9de5012124ba9fb276de1a25d865d1b9460cb2 64eb7fcb7f4407b8639fed01fdd7715661a0e9ef 759798b786d2cb51cdb299bb742006d08d439f7a 77bab69559660e65908edab1d50e5362acc32b0d 7d524bbce3865339fbfd0febd62f47b30c56d8f8 7f4c94affff8bbad823b3fbdac3706765fe044ca 816c051715fe1dd916d9865cefbbe04da528faf1 8672e0122528edfe7c3f95c1a8ae9fd28eb4233d 8e0b1251c5bfbba889cf6eb2cbb95fbc76a47c9e 90eb14e14cc5087a1810da4fea8439b3a4f31d56 a9d41db166367d16f9adafeb09ce8cb78df3e9c5 ab583961f5a4da19d5008658a2e85bb146f1f450 b220993819c25f0c180a12f08019171af71fc960 b79495adb860eb6146a524eef2ef241e65597e5f b9e4bd49ead20c8562a34dfe4d47acec49c2b237 bc486a54c4b1c1613a8b53027133408acc14bf5c c1f54defda04a694a893e5dfa18d3c6a08a1fc5e cde4bd1c4fbc04d11564b67f3f103b1195310b99 d1de464f86b7e6412eecdad817630a147ea6f3b5 d485d8260f2bff0967fd5fe5f31bcbb11a999c8d dec1f1a74ff26a6f179ed9817f95dfc7e2de96e3 e05f1355933b4ddd1d7624304df413872bdcd155 e1891c19326bce89b8bce9b3147a11a8969ffaa0 e4ec3dbe5cdf8c85ce0b7d4566a58bc2452da2ae e69554c57dad164110b1efa49602eee2bcff0510 f085627d430e72955641264094db8d4efe7b1944 f0c2d39c981118b8b7e252c3c0b6f98e03a519f7 f2320862f88ebf7be4f6e703c3e102456945322b fabf4cc6e1865b93e2af7d935945325df865bf51 Package: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 226 Depends: neurodebian-popularity-contest, libboost-program-options1.62.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 6), libvw0 (= 8.6.1.dfsg1-1~nd90+1), zlib1g (>= 1:1.1.4) 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~nd90+1_amd64.deb Size: 59192 SHA256: 6da09524dea0810076e438c24b820970a0377fa930d8887dc2956893a2e7f1f6 SHA1: 2a798a8712ffbec02d97caf3818e0e66ba6f48ac MD5sum: ce09be09f75e710a3b8d8d7bdd1eb04e 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 590 Depends: neurodebian-popularity-contest, vowpal-wabbit (= 8.6.1.dfsg1-1~nd90+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: debug Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-dbg_8.6.1.dfsg1-1~nd90+1_amd64.deb Size: 87894 SHA256: 3be2afc929ed2050cfab625621943e31b5a06bf92c331e068ca81d9c9917c892 SHA1: 4f1b0d1655706ebb58b4692587d64bde737b1af4 MD5sum: 856a8ce409b20bbe6c5854fb8d1d4023 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: 0528fdcefafc615325097623654d47ef98fc2aa4 7c666a61239ab3b67cc241668b0c0e37b825e2cd a7a980bc73aff398b49ecf476469603b4618d173 f8cb582fe2f94554f914a316ec2f177ec656b678 faf8c8b820b2e201e1f76fb01f1eff0463380ee1 Package: vowpal-wabbit-doc Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd90+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~nd90+1_all.deb Size: 18701526 SHA256: bd3161377979362354463ecab25b6bf8ae0f4b3744cdd1c0975f26e8915cea46 SHA1: b5f0542fc92dc06fdbc6960993254b7af779c463 MD5sum: 44dc5d46301faae5737e3e96d9fb8f95 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: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 387 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvrpn0 (= 07.30+dfsg-1~nd70+1+nd90+1), libvrpnserver0 (= 07.30+dfsg-1~nd70+1+nd90+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: utils Filename: pool/main/v/vrpn/vrpn_07.30+dfsg-1~nd70+1+nd90+1_amd64.deb Size: 92710 SHA256: f9ae19454f930bb8eac0fbfd50b83803fd2ceacdfae1d3f077d9fcd1e7e56afe SHA1: 5495103e0bd5ab80731f2414f8c4d1771b969323 MD5sum: 3dc0a7266777082f9e5774e32aa1b41a Description: Virtual Reality Peripheral Network (executables) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the executables like the VRPN server. Package: vrpn-dbg Source: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5096 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd70+1+nd90+1), libvrpnserver0 (= 07.30+dfsg-1~nd70+1+nd90+1), vrpn (= 07.30+dfsg-1~nd70+1+nd90+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: debug Filename: pool/main/v/vrpn/vrpn-dbg_07.30+dfsg-1~nd70+1+nd90+1_amd64.deb Size: 1101388 SHA256: b596fe5bed47901e0591b2fee93bcaa522e2826d2d5505a9285d31826254393b SHA1: ee23bf6d88955c834c7cf67b6f2c8243c7dc150e MD5sum: 311599458a0bcc9059c23c9f315198b2 Description: Virtual Reality Peripheral Network (debugging symbols) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the debugging symbols of the libraries and executables. Package: vtk-dicom-tools Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 282 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), libvtk-dicom0.5, libvtk5.8 Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: utils Filename: pool/main/v/vtk-dicom/vtk-dicom-tools_0.5.5-2~nd90+1_amd64.deb Size: 72816 SHA256: af8782ddba722555fb2aca23535fcd20666e376bfdef2f85dd66aa41b434ae34 SHA1: a0986c11fefa3255a170c7c81193003ea5c9d765 MD5sum: 6b54dbfcbf9a0019417f75e146ad10ea Description: DICOM for VTK - tools This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Command line tools Package: xppaut Version: 6.11b+1.dfsg-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5977 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libx11-6 Homepage: http://www.math.pitt.edu/~bard/xpp/xpp.html Priority: optional Section: science Filename: pool/main/x/xppaut/xppaut_6.11b+1.dfsg-1~nd70+1+nd90+1_amd64.deb Size: 3762772 SHA256: 448cbfca0910bfc25d22fc0591f409f341709074dd1b714c6532d26b8f8a8c8f SHA1: 52204d34005b1513cdaf7af45af1122be32de0a2 MD5sum: 94aaeb92837e874eac8ac49e97df2001 Description: Phase Plane Plus Auto: Solves many kinds of equations XPPAUT is a tool for solving * differential equations, * difference equations, * delay equations, * functional equations, * boundary value problems, and * stochastic equations. . The code brings together a number of useful algorithms and is extremely portable. All the graphics and interface are written completely in Xlib which explains the somewhat idiosyncratic and primitive widgets interface. 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, 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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, 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