Package: afni-atlases Source: afni-data Version: 0.20180120-1.1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 109419 Homepage: http://afni.nimh.nih.gov Priority: extra Section: science Filename: pool/main/a/afni-data/afni-atlases_0.20180120-1.1_all.deb Size: 98215048 SHA256: b7b30ce4345671d92cb08f939b76de42f81a6839abe3d47dba1db0620fe64e0c SHA1: 792d6506cc866acfa54fc71475f823e686f169f7 MD5sum: deaddf5e6992face9b5edeb62644187c Description: standard space brain atlases for AFNI AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provide AFNI's standard space brain templates in HEAD/BRIK format. Package: asciidoctor Version: 1.5.7.1-1~nd~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 283 Depends: neurodebian-popularity-contest, ruby | ruby-interpreter, ruby-asciidoctor Multi-Arch: foreign Homepage: http://asciidoctor.org Priority: optional Section: text Filename: pool/main/a/asciidoctor/asciidoctor_1.5.7.1-1~nd~nd100+1_amd64.deb Size: 64168 SHA256: b9ce60bc62c327788f93f44f3a435f15ff79d4e0d96f12d1d02e80bb4183dcfb SHA1: b07fc0fec749222eabb322f1380a154dbcc8e622 MD5sum: a7fce24eef523bb05c048399dd70d128 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~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3305 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: asciidoctor Homepage: http://asciidoctor.org Priority: optional Section: doc Filename: pool/main/a/asciidoctor/asciidoctor-doc_1.5.7.1-1~nd~nd100+1_all.deb Size: 347072 SHA256: da5281d156e5ebe7c652e01ad46bf548fc009f9fdcb2491d4995231cf56ac778 SHA1: b18fe01be11458db062a6833e479ddfb0fe54c4a MD5sum: f9208a6136458959f4d9394d6d14e094 Description: AsciiDoc to HTML rendering for Ruby (documentation) Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. . This package contains the documentation for asciidoctor. Package: bats Version: 1.1.0+git104-g1c83a1b-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest Recommends: parallel Homepage: https://github.com/bats-core/bats-core Priority: optional Section: shells Filename: pool/main/b/bats/bats_1.1.0+git104-g1c83a1b-1~nd100+1_all.deb Size: 23896 SHA256: 71b23a33f2c321fbe52cf65bd08ee02b7d24304d0c41dfca76f79edb6ac422ab SHA1: a60ec2356e75e2bb62faaedd06366256755c74b1 MD5sum: 3ce79781a60cd7ba2dc5da09293c775c Description: bash automated testing system Bats is a TAP-compliant testing framework for Bash. It provides a simple way to verify that the UNIX programs you write behave as expected. Bats is most useful when testing software written in Bash, but you can use it to test any UNIX program. Package: btrbk Version: 0.29.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 369 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 4.12) Recommends: openssh-client, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.29.1-1~nd100+1_all.deb Size: 103788 SHA256: 9a570bee00983d059a62546eaf8545c5003bbdb820734b2b870960ab3949ca2a SHA1: 2ab0c34a5fa5a88f5b8e55db4c9b2d20efac5a17 MD5sum: 4bc5932b2759e3bf9eeefc8ff6f530d2 Description: backup tool for btrfs subvolumes Backup tool for btrfs subvolumes, using a configuration file, allows creation of backups from multiple sources to multiple destinations, with ssh and flexible retention policy support (hourly, daily, weekly, monthly). Package: connectome-workbench Version: 1.4.2-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 50621 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libftgl2 (>= 2.4.0), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.11.0~rc1), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.4.2-1~nd100+1_amd64.deb Size: 21307784 SHA256: 930fe7b8dda4eefc72b4f1fd934beb452f8fac0542afc4dc7fc91ab96ee4b6e1 SHA1: 10b57e4dfcf3d70208c1caf1da94962f06ea7d40 MD5sum: 15487209c111519011b174f56dd1d894 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: 1.4.2-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 266672 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.4.2-1~nd100+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.4.2-1~nd100+1_amd64.deb Size: 263970564 SHA256: 503e6061950b145d265e0170ffe808f2007b74ef3dec01c3e4a1d1108a291c1b SHA1: f57fda41f413adacb1ddbc9b93919a60dd1b1d58 MD5sum: 3e4da2455001ed806ebdd907a3d22df9 Description: brain visualization, analysis and discovery tool -- debug symbols Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. . This package contains debug symbols for the binaries. Build-Ids: cf153a1ba877e2da45fc0728841cc62bc4557e2c fc4afbe93e6952f0699638f397c1699a076f4dbe Package: convert3d Version: 0.0.20190204-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 64169 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libdcmtk14, libdouble-conversion1 (>= 2.0.0), libexpat1 (>= 2.0.1), libfftw3-double3 (>= 3.3.5), libfftw3-single3 (>= 3.3.5), libgcc1 (>= 1:4.0), libgdcm2.8, libhdf5-103, libhdf5-cpp-103 (>= 1.8.13), libicu63 (>= 63.1-1~), libinsighttoolkit4.12 (>= 4.12.0-dfsg1-2~), libjpeg62-turbo (>= 1.3.1), libnifti2, libpng16-16 (>= 1.6.2-1), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.8.0), libqt5widgets5 (>= 5.7.0), libssl1.1 (>= 1.1.0), 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~nd100+1_amd64.deb Size: 9936960 SHA256: 824d7daa258396acc3e721377c4c4fa50a18c3a5b3e5e23d17e613670c5c84f7 SHA1: 2d7180d864239bb6f003de246050faeac6363a94 MD5sum: 68060a12426506802b75c95873c6b5d5 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 238965 Depends: convert3d (= 0.0.20190204-1~nd100+1) Priority: optional Section: debug Filename: pool/main/c/convert3d/convert3d-dbgsym_0.0.20190204-1~nd100+1_amd64.deb Size: 227664672 SHA256: f8d536f8f66a4041718c493a41bd1a6aa730c9d5efbc95f4ffc2f2b5dd384ee9 SHA1: 8467754485c7c361b4edc53223f56da245f9c990 MD5sum: e97a879a0fb50a545adfeff7c68228e2 Description: debug symbols for convert3d Build-Ids: 04d56147bead38e701c7a786eeec6453424401c9 109960b08711fe4aac790e21350942497094ba55 4072753f5069dce56a4c2dfcff679bd878b83537 6b3327233d1751fcd46550098a6d52699c59670f 6e86a6835e574c053ac4ced8c3214a17f0f87336 a76cfc6c092e506fa673bb282c2a73d22efe3d10 Package: copyq Version: 3.6.1-1~nd1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4919 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.8.0), libqt5network5 (>= 5.0.2), libqt5script5 (>= 5.6.0~beta), libqt5svg5 (>= 5.6.0~beta), libqt5widgets5 (>= 5.11.0~rc1), libqt5x11extras5 (>= 5.6.0), libstdc++6 (>= 4.8), libx11-6, libxtst6 Recommends: copyq-plugins (= 3.6.1-1~nd1~nd100+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~nd100+1_amd64.deb Size: 1321116 SHA256: d296d92d88e004f56c92d9cb0aca246730b8cc875ebfafaac95bf576a037666e SHA1: 63b109fdcd4ac45e57717e2711b5d965129d5e82 MD5sum: 661fc710818e3b4674e390fedc3e8163 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 18331 Depends: copyq (= 3.6.1-1~nd1~nd100+1) Priority: optional Section: debug Filename: pool/main/c/copyq/copyq-dbgsym_3.6.1-1~nd1~nd100+1_amd64.deb Size: 17966876 SHA256: 30e5b75e256132d2715a954a5efa809fed7cdfec571edea181e9e47c87d16df8 SHA1: 3a9a4e18c47291d8813335118d3e7cc952bb633c MD5sum: 6d31a8a610f5afd9180095a51c943ae4 Description: debug symbols for copyq Build-Ids: f7a41a9794b1d387d071deee7159dd56ca30e159 Package: copyq-doc Source: copyq Version: 3.6.1-1~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1618 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.2+dfsg) Built-Using: sphinx (= 1.7.9-1) Multi-Arch: foreign Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: doc Filename: pool/main/c/copyq/copyq-doc_3.6.1-1~nd1~nd100+1_all.deb Size: 906320 SHA256: e3e2da0007c127120de3cd642e005e72e6711f141ae409daf82ecf3e1a66a1c0 SHA1: 6a05629a3155a55f1dccfd74ddc4203b6b9e4f70 MD5sum: b993befd7e564a0d1f4c836820a85568 Description: Documentation and examples for CopyQ - HTML format CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . This contains the documentation in HTML format. Package: copyq-plugins Source: copyq Version: 3.6.1-1~nd1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3044 Depends: neurodebian-popularity-contest, copyq (= 3.6.1-1~nd1~nd100+1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.2.0), libqt5widgets5 (>= 5.11.0~rc1), 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~nd100+1_amd64.deb Size: 641256 SHA256: 8d204558dc7669782bd7c7fbe2fe12686c2beec2f713b0f07d0a51d66a8b4d80 SHA1: 50d8dc62769e01349f76b4c8c847767ccc67fdd4 MD5sum: 3deda19f370064621535d3684afa2738 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14187 Depends: copyq-plugins (= 3.6.1-1~nd1~nd100+1) Priority: optional Section: debug Filename: pool/main/c/copyq/copyq-plugins-dbgsym_3.6.1-1~nd1~nd100+1_amd64.deb Size: 13636764 SHA256: 7d57443d220ec4f191d5ee79be88e1f7d4c9a9caaa1c616199afc793c050faf1 SHA1: a27e93ee9dfce278c87175477e1ef3ad9bbc8d80 MD5sum: 8aec292953445459aa4683a79c449420 Description: debug symbols for copyq-plugins Build-Ids: 01e6e72b18a2020efb7445a86af84a344ef06676 1917ee9ea2f9c9cb22095d56f17ff13da3b409c6 436416ccf464e9ecd417dbcdb951cb3fa938b64b 4de4d74dc2b0fe10c6d7f98cab6c93bc234ac1ff 5507f7a3c19d6b8bf532cc0d515288b315cb80b4 783f69d59363abd4c01f2d35c105c0263c5ac3f6 a86565a2cc740ee6054385fcbf11e3cea8005b05 b23ebdb3b0a07d3e09319ca312a4a325256deb46 c511e7716ad9a761f5ea73a1fe142095e1446eae Package: datalad Version: 0.12.6-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 158 Depends: neurodebian-popularity-contest, python3-datalad (= 0.12.6-1~nd100+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_0.12.6-1~nd100+1_all.deb Size: 119888 SHA256: 9b672c3872dc230fa158ee89528e7fe677923b5c63ba0c68e8fba2e1b82e5301 SHA1: 7de37c9ae588deb0a2047a3e2096766139ce8955 MD5sum: 6030575bc2d2b1d35f3fb75da3262425 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 provides the command line tools. Install without Recommends if you need only core functionality. Package: datalad-container Version: 1.0.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, datalad (>= 0.12~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3-mock, 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_1.0.0-2~nd100+1_all.deb Size: 22988 SHA256: 902285e6677d148d8fa59de2c39f1795f709f3aee74f7dc75d251751c88fb8bd SHA1: 1e5625e715d5fe8fe21954f35dd5db40a59d3614 MD5sum: ba0fddfe322fed59a60f7ca47cbff5c9 Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: dcm2niix Version: 1:1.0.20200427-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 800 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopenjp2-7 (>= 2.0.0), libstdc++6 (>= 5.2), libyaml-cpp0.6 (>= 0.6.2) Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20200427-1~nd100+1_amd64.deb Size: 202560 SHA256: 203efc1a9ced13eede587839ac19ea3a2dcece4420ba2f4beab98a8b23e3f7a7 SHA1: a1260f57400537ba6cb36d94bc2e0ab83da1ee37 MD5sum: 43ac95b9b8b01847144a95b93aa90241 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: 1:1.0.20200427-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1107 Depends: dcm2niix (= 1:1.0.20200427-1~nd100+1) Priority: optional Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20200427-1~nd100+1_amd64.deb Size: 1048836 SHA256: ee498a2029e714cabc86515017469bff5512df59173b653f0966e679af8e796e SHA1: db78397972e381b672d15f93dd47f0fd683c9d50 MD5sum: 38a646048be4317f05c73095604c0c26 Description: debug symbols for dcm2niix Build-Ids: 07b0d028e1216d13cc49402f6c5ef6fea33ffdb6 4051a58cdfce5d507155d144879e48cc0da5f3a4 Package: dh-octave Version: 0.6.0~bpo9+1+nd1~nd100+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~nd100+1_all.deb Size: 20152 SHA256: 35abf34011d8420271b1b4d8fc909135c5e5520a56ce9041f7c52ccb98544411 SHA1: 55ef7c06a9901e8f58bfa925a2335c72adff9570 MD5sum: ab42fd8b07fb9a139875ebab5da3f0af 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~nd100+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~nd100+1_all.deb Size: 8528 SHA256: 330d29128af704c76e2d9a8c78d215974d04791dc45105ecc12241847bbdd3b0 SHA1: 9a5ddb45cf36139580cac9228937dd9171cf71dc MD5sum: 98c9554b7e03b918a0766eb6e3c83de8 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: dmtcp Version: 2.6.0-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3048 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: utils Filename: pool/main/d/dmtcp/dmtcp_2.6.0-1~nd100+1_amd64.deb Size: 710500 SHA256: 967dacc2ae357ff41f1f8e0a6d57b764b2192d34884053dfc9eb6d2e340bb236 SHA1: bc978dee1d12a6704431987bb2bb46c70b0d78f0 MD5sum: d93bf53787fa14a81b7de22aeae807a4 Description: Checkpoint/Restart functionality for Linux processes DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of applications 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, MVAPICH2, MATLAB, R, Python, Perl, and many programming languages and shell scripting languages. It supports both TCP sockets and InfiniBand connections. With the use of TightVNC, it can also checkpoint and restart X-Window applications. The OpenGL library for 3D graphics is supported through a special plugin. . This package contains DMTCP binaries. Package: dmtcp-dbg Source: dmtcp Version: 2.6.0-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12075 Depends: neurodebian-popularity-contest, dmtcp Homepage: http://dmtcp.sourceforge.net Priority: optional Section: debug Filename: pool/main/d/dmtcp/dmtcp-dbg_2.6.0-1~nd100+1_amd64.deb Size: 11548824 SHA256: 8ae45258ff004891c4514d95017ac53c9984d837e1f00d5c4ae210e7ed35517c SHA1: c6bf3a70944b9457cab0e5606ab29b65d14a2dc0 MD5sum: 012d080cd321fc3d6717b06179fab766 Description: Debug package for dmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of applications 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, MVAPICH2, MATLAB, R, Python, Perl, and many programming languages and shell scripting languages. It supports both TCP sockets and InfiniBand connections. With the use of TightVNC, it can also checkpoint and restart X-Window applications. The OpenGL library for 3D graphics is supported through a special plugin. . This package contains debugging symbols for DMTCP. Build-Ids: 06b3c5037c7e0b10a3fecc22de282794b50099e5 17eb5862469bbd3979fe74d26698a77eb83461cc 23929a5b04485f5bc66ce41aafb8bd966ee7518a 251d95cc4117cf191d088d86213d56632702eb47 27a65babf2ace46f61ab09fa14678da464f32bc9 55aeccd494ab7624ecee3d283177b46031b56702 61bd997796487c03b422daca0d1fa31e88c1f3cb 63394dc7495083c985bee0337c17bfea9cc6674f 64ea86afd9e320082f2ba16776d8d3d5a7af4169 7038685c49f80cca2498f1271d13e76b17d9bd09 821d50329f0146fda118bfeaa439d11e21b40853 82d6bf7fb04fa501dc4c824bfdf4bee7592dd42b 9411a327abd11248e0468e75b995899b43c917db aae37e57dfedbcf171a8ef5d71751f79963abe71 aee751993c5529193b0b7d28f6ad3c84532b1360 b575e45af78a6151f11a916df0a1d3031519c94d c17bb13f5df3e521f4a58b4c7c89a9839aca69b0 c7b018608663812ad9f81e38705f1d7ef74767f1 cd92c8670759dc292dae54d346f5a304ac5a7262 d8eeaf385aaa6f0889801a5474baa7ce34fe1e1b f6e4030732a22b936b95ddcf796dd7676142494c Package: exempi Version: 2.4.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd100+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~nd100+1_amd64.deb Size: 20376 SHA256: 4405db9b1cf94734a9873708f93e3765ea6769b3e557564f48b8e01f860ae382 SHA1: e5f4b4c6d5ba5a3da5cf7f70f3f6d8cd61bd5d0a MD5sum: 129e86ddab242ed52aa43e2a511ad007 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: exempi (= 2.4.1-1~nd100+1) Breaks: libexempi3-dbg (<< 2.3.0-1~) Replaces: libexempi3-dbg (<< 2.3.0-1~) Priority: optional Section: debug Filename: pool/main/e/exempi/exempi-dbgsym_2.4.1-1~nd100+1_amd64.deb Size: 69272 SHA256: 347356b0c60b7b7307fddc50593f1a9a26c7643039534df54904194840a2c5d7 SHA1: 7c846a6d96b30bfe5c327bbaddabe9428f0389b7 MD5sum: a7d0265e61cd7040d48893eb65eb70a4 Description: debug symbols for exempi Build-Ids: 1275ed90b921f476d83e470913e653f8066d160c Package: fsleyes Version: 0.15.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239787 Depends: neurodebian-popularity-contest, python-fsl, python-fsleyes-props, python-fsleyes-widgets, python-wxgtk3.0, python-six (>= 1.0~), python-jinja2, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd100+1_all.deb Size: 26727496 SHA256: aa8cd7cacddf4a0ab2933e6330594da4a0c95954ffffa3c6974ac33a79c8cf27 SHA1: 13e9bd1338ee233a179ba809a075961b5fd10326 MD5sum: 8bb360750b3746266edc141788eed30c Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: gdf-tools Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 123 Depends: neurodebian-popularity-contest, libboost-filesystem1.67.0, libboost-program-options1.67.0, libboost-system1.67.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgdf0 (>= 0.1.3), libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: utils Filename: pool/main/libg/libgdf/gdf-tools_0.1.3-3~nd100+1_amd64.deb Size: 34204 SHA256: 333b23dfe4953984d5a715cf2fc037f31e646649d04c732a731396092b640d28 SHA1: 84563bde0a897ca3b7be9dec8afc0b6e034ad201 MD5sum: 3c3f688253201b1f9d66435fca70bfe5 Description: IO library for the GDF -- helper tools GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the tool shipped with the library (gdf_merger). Package: gdf-tools-dbgsym Source: libgdf Version: 0.1.3-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 403 Depends: gdf-tools (= 0.1.3-3~nd100+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/gdf-tools-dbgsym_0.1.3-3~nd100+1_amd64.deb Size: 368736 SHA256: b31304b84cdbe89cef231290bae2094eb7ce79606a7551e82001fb42e58c652d SHA1: 3f8d2469bb808530cd7260cc7d699b93ddd4c09f MD5sum: c006c3cb0e1712949e8dda9ac86bec80 Description: debug symbols for gdf-tools Build-Ids: cca61a012885cd31da93c98b14049f4102babbfa Package: gifti-bin Source: gifticlib Version: 1.0.9-2~nd100+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~nd100+1_amd64.deb Size: 24316 SHA256: 1572d311978b0288990b14ad68798c45682e31cb12afc6d42522b3eaf5751e46 SHA1: cb095188541eee8e56ca449429a99a44b87305ce MD5sum: 0e47662a0d3d43d46a60e84f02b99c16 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: gifti-bin (= 1.0.9-2~nd100+1) Priority: optional Section: debug Filename: pool/main/g/gifticlib/gifti-bin-dbgsym_1.0.9-2~nd100+1_amd64.deb Size: 3848 SHA256: bbabdf09bc63c9ba48d28360b6a9d7c90adedf35990c935c4a8858b367aa744e SHA1: 057c12fcdffc5bf2ec3735daf925239ef5dbf895 MD5sum: da38b9f8a92c495ce88a83002e3f4581 Description: debug symbols for gifti-bin Build-Ids: 876b6b16bb025c88c4a8ca58916fc2bd45d34123 b8a91f4c0573c6a75e89b268476e57c84d97db20 Package: git Version: 1:2.24.0-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 40118 Depends: neurodebian-popularity-contest, libc6 (>= 2.28), libcurl3-gnutls (>= 7.56.1), libexpat1 (>= 2.0.1), libpcre2-8-0 (>= 10.32), zlib1g (>= 1:1.2.0), perl, liberror-perl, git-man (>> 1:2.24.0), git-man (<< 1:2.24.0-.) Recommends: ca-certificates, patch, less, ssh-client Suggests: gettext-base, git-daemon-run | git-daemon-sysvinit, git-doc, git-el, git-email, git-gui, gitk, gitweb, git-cvs, git-mediawiki, git-svn Breaks: bash-completion (<< 1:1.90-1), cogito (<= 0.18.2+), dgit (<< 5.1~), git-buildpackage (<< 0.6.5), git-core (<< 1:1.7.0.4-1.), gitosis (<< 0.2+20090917-7), gitpkg (<< 0.15), gitweb (<< 1:1.7.4~rc1), guilt (<< 0.33), openssh-client (<< 1:6.8), stgit (<< 0.15), stgit-contrib (<< 0.15) Replaces: git-core (<< 1:1.7.0.4-1.), gitweb (<< 1:1.7.4~rc1) Provides: git-completion, git-core Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git_2.24.0-1~nd100+1_amd64.deb Size: 6172176 SHA256: b503c275b034725ac8689118e1df59ef79cf277818b79d25fc4df9deed078c29 SHA1: b5074d7b7f85a7211e047984f4385f30edcf8b47 MD5sum: d42a663deb4f96c45d99031e370159aa Description: fast, scalable, distributed revision control system Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git main components with minimal dependencies. Additional functionality, e.g. a graphical user interface and revision tree visualizer, tools for interoperating with other VCS's, or a web interface, is provided as separate git* packages. Package: git-all Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 831 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), git-doc, git-el, git-cvs, git-mediawiki, git-svn, git-email, git-gui, gitk, gitweb Recommends: git-daemon-run | git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-all_2.24.0-1~nd100+1_all.deb Size: 834256 SHA256: 97e822757380cf88354973507c090e2969f196c51dfbd775e56d6fdecffcbf16 SHA1: 6bd30fd503d31d77f384e2ecc80665231811761e MD5sum: d13f61e6dd80f74fc4ef007b9c858024 Description: fast, scalable, distributed revision control system (all subpackages) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This is a dummy package which brings in all subpackages. Package: git-annex-remote-rclone Version: 0.6-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.6-1~nd100+1_all.deb Size: 8180 SHA256: ae6d220d66dbf03b73f76829eae0be3c6e896cde4e9b4204798740adc5b9ddd7 SHA1: c3902f512d624fc5fb5b9bfbe27835347b202c17 MD5sum: 5e71901d827469ab0f75c8f017e23c45 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 7.20190819+git2-g908476a9b-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 184189 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, youtube-dl, 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 (<= 0.11.1~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_7.20190819+git2-g908476a9b-1~ndall+1_amd64.deb Size: 64134894 SHA256: bc7d8291aa81c8e4427ac7ececab2ad92bfde095c91b782ff9344b76618e5b35 SHA1: cff95217b97d95912170e062cfa238c57410a3fa MD5sum: 0ea5994957513670410561a78f4f6f89 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space. . 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 a dozen 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-core Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8 Depends: neurodebian-popularity-contest, git (>> 1:1.7.0.2) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-core_2.14.1-3+nd0~nd100+1_all.deb Size: 1438 SHA256: 13bf22417ecc8cec3d7d273a8ca840b9dc9de8009fb1b692ac200dd0b263f699 SHA1: 2dd4cdec7a1767ce4de1b031a4ff0dbea62f12a0 MD5sum: e58cd20daf94ad8f4199135fef2a653d Description: fast, scalable, distributed revision control system (obsolete) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This is a transitional dummy package. The 'git-core' package has been renamed to 'git', which has been installed automatically. This git-core package is now obsolete, and can safely be removed from the system if no other package depends on it. Package: git-cvs Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1212 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), cvsps, libdbd-sqlite3-perl Suggests: git-doc, cvs Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-cvs_2.24.0-1~nd100+1_all.deb Size: 897208 SHA256: 47c791ad6f7f897212d14feb56ea976135d9819cf19b2ceffb5f74a257e59870 SHA1: ba32884b23e7295418fe5f5abf1e0b3e77e67d58 MD5sum: 9747257eb8cb600cedc97c4881b15334 Description: fast, scalable, distributed revision control system (cvs interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git cvsimport, cvsexportcommit, and cvsserver tools, which allow Git to read from and write to CVS repositories and offer access over CVS protocol to Git repositories. . The git cvsimport tool can incrementally import from a repository that is being actively developed and only requires remote access over CVS protocol. Unfortunately, in many situations the import leads to incorrect results. For reliable, one-shot imports, cvs2git from the cvs2svn package or parsecvs may be a better fit. Package: git-daemon-run Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 843 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), runit, adduser Conflicts: git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-daemon-run_2.24.0-1~nd100+1_all.deb Size: 835876 SHA256: 6c4ec452764ada1b45aa8a61eb1a2c601d6bf95399d354c2ebee0997eff75fa4 SHA1: 765ebedd2a845372d1a756f0ad7a81f0985bbf30 MD5sum: e651bb4cfd2c6a26365efae92b430e34 Description: fast, scalable, distributed revision control system (git-daemon service) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . git-daemon, as provided by the git package, is a simple server for git repositories, ideally suited for read-only updates, i.e. pulling from git repositories through the network. This package provides a runit service for running git-daemon permanently. This configuration is simpler and more reliable than git-daemon-sysvinit, at a cost of being less familiar for administrators accustomed to sysvinit. Package: git-daemon-sysvinit Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 846 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), adduser, lsb-base (>= 3.0-6) Conflicts: git-daemon-run Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-daemon-sysvinit_2.24.0-1~nd100+1_all.deb Size: 836920 SHA256: 9e4169917a415941fdb116786d53256e132af81e9cd4a0ff184b0c2185da8b1d SHA1: bf7e43a5f4e52561be81c22349f1fad138d54df5 MD5sum: 70e340e781480005a9fd1b5b33f81d2b Description: fast, scalable, distributed revision control system (git-daemon service) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . git-daemon, as provided by the git package, is a simple server for git repositories, ideally suited for read-only updates, i.e. pulling from git repositories through the network. This package provides a sysvinit service for running git-daemon permanently. Unlike git-daemon-run, this package provides the usual sysvinit service management commands ("service git-daemon start/stop") for git-daemon. Package: git-dbgsym Source: git Version: 1:2.24.0-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 53704 Depends: git (= 1:2.24.0-1~nd100+1) Priority: optional Section: debug Filename: pool/main/g/git/git-dbgsym_2.24.0-1~nd100+1_amd64.deb Size: 51162728 SHA256: a78b7330c35575b3184eb9356e763f8838353314a6bc3af34e022de71e2076fc SHA1: cd859f6882475bf73e7a2e360bae9c611d81106f MD5sum: 4bb7b740bd13686e613e75e809420498 Description: debug symbols for git Build-Ids: 1e86350f8c5c7a023adf832f5d642a25b0e89467 316700ac12f9540c342b79086a70bc14df4efeb2 48d851a2c028cd137f00613b3f06d4bcc5cefb4a 4a7945d15c3b0e193370cdfac685c8aae10bd304 53e864762e1d59cc7a9a72c0316a85b9b98944e7 57f8a568f6b2acc0804844d111fc649d058cf11f 6aa1ed4d439981d0bc02c9912abb48de7a175e80 80a1242263101a62aab0ff8a1b7da47c90811f92 a71c88ecf4d7aebbabd4885997e1d02cf81b0a3f cb2eaee6097c7f162da40b098b5f15a6e6119e6b cd75387b6a682d584da19b8b58d11067a0e7481f d075e689c57cfd7601ce42a4a6980bee1e18e8cb d27e8cccdff385813f44bfa177ce6c94a66d8636 fca825d3ecf1938c2514ecc01ab63eacfa09fd1c Package: git-doc Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11642 Depends: neurodebian-popularity-contest Suggests: git, git-cvs, git-svn, git-email, gitk, gitweb Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: doc Filename: pool/main/g/git/git-doc_2.24.0-1~nd100+1_all.deb Size: 1837108 SHA256: 0d643e3483c9e3114c790dfa38f51deaa9183e3cd8e4e1c30c65e65d57555096 SHA1: ac7c2b3ad361b407a7f4f4179ca2425592cf5faa MD5sum: 7426aa36af8f701618a626fd5d4262a6 Description: fast, scalable, distributed revision control system (documentation) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the documentation. Package: git-el Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 854 Depends: neurodebian-popularity-contest, git (>= 1:1.7.4.1-2~), emacs | emacsen Recommends: elpa-magit Breaks: git (<< 1:1.7.4.1-2~) Replaces: git (<< 1:1.7.4.1-2~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-el_2.24.0-1~nd100+1_all.deb Size: 836628 SHA256: 76a77bc21eed21bafe262cb9cbd07d1fd1785d3229f435e9fc97fa8a906f22fa SHA1: 9cb6fa70f440c4c5ef39ea54ec9e25af7177546f MD5sum: 863daf3c55e1f57d8f17da0bee55811a Description: fast, scalable, distributed revision control system (emacs support) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This transitional package provides two modules that previously could be used for integration with Emacs: git.el and git-blame.el. Now the modules print an error message with instructions that users can use to migrate to Emacs's VC-mode backend for Git or Magit. Package: git-email Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 900 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.) Recommends: libemail-valid-perl, libmailtools-perl, perl (>> 5.21.5) | libnet-smtp-ssl-perl, libauthen-sasl-perl, libio-socket-ssl-perl (>= 1.951) Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-email_2.24.0-1~nd100+1_all.deb Size: 859536 SHA256: 296885504064f57eb144da58da4828f556ac77e26ebec04a016580b4e7899720 SHA1: 242066d7db60ff4d19b4bf6166273923c0b57fc5 MD5sum: 11f2036fd9e8532a5c746251b68eb318 Description: fast, scalable, distributed revision control system (email add-on) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git-send-email program for sending series of patch emails. Package: git-gui Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2313 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), tk Recommends: gitk Suggests: git-doc, aspell, meld Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-gui_2.24.0-1~nd100+1_all.deb Size: 1044528 SHA256: c5c486d9ba9bd6b9e1f3fc18ecd26e01ef39ed53847472c7ce6aa20d88e134b4 SHA1: f23193beb9a357462ee1e1e3bad8b8ddf488a2c1 MD5sum: 0dbed42aa97d2a7653bd75c76542f8de Description: fast, scalable, distributed revision control system (GUI) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git graphical user interface. . If aspell is installed, it can check the spelling of commit messages as the user types. . If meld is installed, it can be used for displaying diffs and for interactive merge conflict resolution. Package: git-man Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1748 Depends: neurodebian-popularity-contest Breaks: git (<< 1:1.7.4~rc1) Replaces: git (<< 1:1.7.4~rc1), git-core (<< 1:1.7.0.4-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: doc Filename: pool/main/g/git/git-man_2.24.0-1~nd100+1_all.deb Size: 1695060 SHA256: 45f4c865e9032e4fbd26c83efc885a2a0982b78109017d8ad071765a010e3dee SHA1: ac5a9c96469ee3669044ce5a8e0c6b99fea91211 MD5sum: d9e903a2e0e9ef030b72ee93726dc64d Description: fast, scalable, distributed revision control system (manual pages) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides reference documentation for use by the 'man' utility and the 'git help' command. Package: git-mediawiki Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 890 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), libmediawiki-api-perl (>= 0.39), liblwp-protocol-https-perl, libdatetime-format-iso8601-perl Suggests: mediawiki Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-mediawiki_2.24.0-1~nd100+1_all.deb Size: 850224 SHA256: 603c7c62136d3c0b9d133d10708a353e25f4d70496e3815c5635cd7bb5cd533c SHA1: 2e6692fbf01ec4496fb73e02f69ed0b26af49661 MD5sum: cc7948166bec355957e5444d94df7a22 Description: fast, scalable, distributed revision control system (MediaWiki remote helper) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the mediawiki remote helper, which allows Git to read from and write to a wiki such as Wikipedia as though it were a remote Git repository, and a 'git mw' command that can show a preview of how wiki markup will be rendered before pushing. Package: git-svn Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1077 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), libsvn-perl, libyaml-perl, libterm-readkey-perl Suggests: git-doc, subversion Breaks: git (<< 1:1.8.3~rc1-1.) Replaces: git (<< 1:1.8.3~rc1-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-svn_2.24.0-1~nd100+1_all.deb Size: 909412 SHA256: bf41c3f6a62c088b97b441f9719fdc6cc39b49befa8d1d0a39be49efaf262119 SHA1: 863a375a8813a4a7edd8e89c7f7ac9de6c5726a1 MD5sum: d5eba4f019172e9d951db274a506d640 Description: fast, scalable, distributed revision control system (svn interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides tools for interoperating with Subversion repositories, and importing SVN development history. Package: gitk Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1612 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), tk Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitk_2.24.0-1~nd100+1_all.deb Size: 969412 SHA256: d681771f4e98e3f8df6466fd8cba94765b8ec0bab36504fd4bd6548cc471432c SHA1: 06a2f6082d104f703f88331db54f0fb57079cba3 MD5sum: 8d009ff17c646b19fddb32d812dd8d1b Description: fast, scalable, distributed revision control system (revision tree visualizer) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the gitk program, a tcl/tk revision tree visualizer. Package: gitweb Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 853 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), perl, libcgi-pm-perl Recommends: apache2 (>= 2.4.6-4~) | lynx | httpd, libhttp-date-perl | libtime-parsedate-perl Suggests: httpd-cgi | libcgi-fast-perl, git-doc Breaks: apache2.2-common (<< 2.3~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitweb_2.24.0-1~nd100+1_all.deb Size: 838516 SHA256: 302536cb29b0094ba7409a111ee5c207c958f207252d889f189326fb416fa700 SHA1: d73b89a66538ae0ae78863d5d7fe475fd00ba95c MD5sum: 2b54d78a5ed1d9ce8e1527b77a7a04c6 Description: fast, scalable, distributed revision control system (web interface) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package configures a web interface for browsing git repositories. . If apache2 is installed, the web interface is automatically made available at http://localhost/gitweb. Other servers that support CGI or mod_perl are supported through manual configuration. . If libcgi-fast-perl is installed, gitweb can also be run over FastCGI (and served by nginx, for example). Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: heudiconv Version: 0.8.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1111 Depends: neurodebian-popularity-contest, dcm2niix, python3, python3-dcmstack, python3-dicom, python3-filelock, python3-nibabel, python3-numpy, python3-nipype Recommends: python3-pytest, python3-etelemetry (>= 0.2.0), python3-datalad Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.8.0-2~nd100+1_all.deb Size: 270208 SHA256: 25834fed2f4d5e2b69122836b0b17452da6ca4ac8247202862708e05ed5b9ce1 SHA1: fc18a0eaf9165f873f9e1fb082464134054ec206 MD5sum: ab4ae35c5eaedd972631bfaf5e59ac5a 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~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 13881 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~nd100+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 (>= 17), 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 (>= 8), libglobus-gss-assist3 (>= 11), libglobus-gssapi-error2 (>= 4), libglobus-gssapi-gsi4 (>= 13), libglobus-io3 (>= 11), libglobus-openssl-module0 (>= 3), libglobus-rsl2 (>= 9), libglobus-xio0 (>= 5), libgomp1 (>= 4.9), libgsoap-2.8.49, 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~nd100+1_amd64.deb Size: 3910756 SHA256: 4dac41906b740a3fa56a0a8a9686248b65d2785b4a804b36ba97af1c274b3f35 SHA1: 4d48f52cf60b81058361c1e0eff8d94b296032ca MD5sum: 673d5097a86ff52ac165d820ca287400 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~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 40313 Depends: neurodebian-popularity-contest, htcondor (= 8.6.8~dfsg.1-1~nd100+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~nd100+1_amd64.deb Size: 38288616 SHA256: 0abe7e5990b38986e1374ced857a8827b4a173759ed502e1457b896cb26c51f1 SHA1: 35dc80c57cf00983b317113693a1d24dcd2d037c MD5sum: 80eae8ae24a51886273d125767aca5d4 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. Build-Ids: 0acfc2dec643fcd21fbc2f052aa91969677d6c84 0ce0cbbdd63324cce63378035aa4a77174804b84 0e0ca9bcf529b43fee06205aff9d98624b577fec 12ac1ffc84fe28955f6ad89ae7f502d7508c4207 13089637a0971435f8b86c8fbfd16fc186dcfd64 1371b289e08937501da023419158d4a1f76af109 1c2e9bdb12fc975ce0299a237736d5cf8a356ec9 1c5ddd379d3574805fe14470393295b2392bacde 21edbd03d9d3f9543ddac81f37e4712325578f3d 23d112eb58b6cc2be03ba1c59b41ba4818c14f0b 249ff95701104a3527203da4e78645c6a31c1501 287fc85729734b787c60df0234c0bf37259e005c 28df3e8ac459734cf9075984ebaeb925e31c2f01 2b6631458df39adb36af0060d8382b7fb55c8ce2 2b901c84c60b342cc866cc497b015838083c9d57 2bbbeba6412abe5ca5c3192a6a4b84740ac0a7e3 2e2145cc685564f2bb2010ca1b6514819dded01b 2f3cc176377026105cb091701c83754598b27f41 2f3eefbde7b9a869600a3e0c8bcd425b77af7379 36bb021b785f1e25bdf8f206af0db1006e7cf1b2 371050f9fa1a392c141075c93e65d7c3bd319cb5 372b776649858936ab514dac412ebf9b1e99053b 37d42e580c5775192495053ff746a67f31a5c1c7 39e36ad57680b269cad9d771dfc9c590edded8d8 3f120858401fad7329156bad72b92df1c87819c0 3fa0861830fac39b44f60da267c2304deacef6cb 42d7128ca1ec42ced874abc3148e8f4b087281ea 45f2e7114d3b67c51355cfa52f5fa5faca1c2a6d 4acbac9262aac80b25f935790107903fa092caa8 4d744e0bd193718cff894a34fbae23e92fcd6e51 510f4ca972928306985c98d15c3b8b401462cb9c 511c134087008a27fdbc6106478de171763645d7 517539d3ec8d4d706dd50129d8f79d975ad070d7 5289ecb6f3c69fee5aa7de6ebe6dfa3881112c4c 568d38c7984812306eb7f30a4684570817e10680 59ce9760c02682ed9006c970e6edee772dbb83f9 5a7e16d0ef1fa8a7a57e1cfa61d3fb102e810d8c 5ad7494031e36449ab8836ea703dc78ba967c71f 5c87ef951073d1e686545365f5deefa1ee18e62b 5ec515b6a4566a63fc14b9e6743fb5ed14395813 65c6df840f751488232dcf4f82cb6d10bf599dca 65c889f983794b83c91ac029a5fbe869d8a9b7cc 6aaf6c8e5c3f9ff2c70dc046be209a74f145cf65 6c1e2621b1e392d57af3fbd26e53385c8f074681 6ed8baffb704ee59083df3107ca6a36dec0de177 762f85b4bc538c56be769ced069197e3cf7218d8 7a4f997e20a64c534016ac610d3bc5bad048e422 83541ce160601ef166d6d0214fffb1549f1833a6 8837f3d76342bea5b5d847b8bdd865ddde035f20 8dd6a08b38d9878b6a9c08bfaf20c5b7f2143884 8f3e92d85c5c47ab5f1793d6a0088abd452681c4 90c3cb62223143307e6e6be64b87b6d4cd649368 90d8a2f0dc809cdf831bba7ac9c791614c086b90 929ea17dce8c4273dfb49d172c3cd199143750ce 95a50c48b0f83fd7cf875813a692e9f283bb72c9 97a4d7628389d39acf6dee1774d28344ab9cc1a5 9d32b325e8e2ae6fe755d4f0c62e946c6d799533 9dd03fd573ef09b48e6a57a0baf99fc39d3694f7 9f6eb45977490719f26996d0718c8a97b6a364b9 a50147ea35be5de40a0e32d6385f2fdb995e99dd a584ac9c751ddf377df6a845ef0691fb2660cc7f a5e914f5f511a039b6f1089adc0cde6a8839d72d a778a7ca3bea27c96d5a22ef900f406da98af294 a9fa8353380959767a17f2a283eb3e0d31becfef af3228082007f4778e72b8059596377e5bad1342 b05e7bb83c95be61bd2e9e19c7e59ffeb7b45421 b4449563cfa76a860cc4c7f3357238048c26bfca b4a91462e18389dab2c46681effb39f4e592dedf b4a94a7b45d0e5f39655c6220970663355f1a24c b55f0994c4403f253808fc52473a9cb050c9d245 bbc681b326a913a224d251a97bc5cf99350ae75d c0b3553908e9a91b0c908a99a46350e34a938626 c4ac5af7eca7529568a00c7bbbb63bedbb5f4e85 c56a226b71155fdba6a073c560fe9598397df569 c5b83a52fe9dbf34e0e5df5e3a8751a7143f78af c7e4fe56b53045a01a54fabfa88c770ff38a4b06 d0207d3036d21bba7f3dfa75ae540aa2d4b9c84c d05e05b4686ef2f7a21bae70d2d0df484bf2ef65 d48f07e1b03f115c1ee3947fd0b479c6f609fb31 d810b5c38c40d1f6f70b52ee3e63c5f62b7309b1 dd8dfd987cb6df74ce1abda6b73d566c80ba0778 e11bcf2eefc200376e279e18f145da1688718482 e2c9db771d432555f8718b998c5a6391fb894437 e8375224124d27062e425d68593b5961c94a451b e8f90a7461a22133eab7bf56387cbb460f065e15 eb04d5f38f4329a0d2cd8893c9be2e8ae5b19c8e eb04d5f38f4329a0d2cd8893c9be2e8ae5b19c8e ecfbaca30fc926f66766601491dfb4cddc71eeb6 f2284025fbbc3ea405e43923f3b6b38042bd63d4 f56f1f033974d88b55e3f5d81252a5f36ee6d10d fb67245b79f257730a3e6cd6cbed927a8cd82ce0 fc6b2f699744c375473769a8e3630d80fea7c28f fd47acacdcc002aef4acced22e0a0472c77bde41 fd8f6fcdc85f10e2cbf31126c2153568a4baed86 Package: htcondor-dev Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1697 Depends: neurodebian-popularity-contest Breaks: condor-dev (<< 8.0.5~) Replaces: condor-dev (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libdevel Filename: pool/main/c/condor/htcondor-dev_8.6.8~dfsg.1-1~nd100+1_amd64.deb Size: 316552 SHA256: ec535f9633431cf093b4500312addf02319ddfa60462b31aac052662d105ce84 SHA1: b661a5d6485d171ffe2c95b25585cfcb8de92a47 MD5sum: 81b873bcc5354c0b9588262f2125998f Description: distributed workload management system - development files 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 headers and libraries for development of HTCondor add-ons. Package: htcondor-doc Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6226 Depends: neurodebian-popularity-contest Breaks: condor-doc (<< 8.0.5~) Replaces: condor-doc (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: doc Filename: pool/main/c/condor/htcondor-doc_8.6.8~dfsg.1-1~nd100+1_all.deb Size: 1087168 SHA256: af43decd2d983deba34ff8a7c1001c7b0e5095b637b73f54f646b0e2c8124d45 SHA1: c8627c789c55859bbb2a0beb13e70523d0f3f5f8 MD5sum: 31097e9b3639054503c5b5c90bf87dd9 Description: distributed workload management system - documentation Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides HTCondor's documentation in HTML and PDF format, as well as configuration and other examples. Package: impressive Version: 0.13.0~beta1a-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 486 Depends: neurodebian-popularity-contest, python3, python3-pygame, python3-pil, mupdf-tools (>= 1.5) | poppler-utils Recommends: mplayer, ffmpeg, perl, xdg-utils Suggests: ghostscript, latex-beamer, pdftk Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.13.0~beta1a-1~nd100+1_all.deb Size: 194284 SHA256: 9253626d043813d263dfd23ae1cb6434f3744e76cc29fe94be2f39913c76f0b3 SHA1: 32f559358020529931c2c7225936c932460ed5f3 MD5sum: 77b22229cb1c768f25761c188eb1a270 Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization * Support of movies presentation * Active hyperlinks within PDFs Package: isympy-common Source: sympy Version: 1.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 211 Depends: neurodebian-popularity-contest, python:any | python:any Recommends: isympy | isympy3 Conflicts: isympy (<< 1.0-2) Breaks: python-sympy (<< 0.7.5-4) Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/isympy-common_1.3-1~nd100+1_all.deb Size: 186576 SHA256: e7150e0aef0107fa5b2fe22d249888b2b7de7043cf804aaf5a19cf3a8e7d3c20 SHA1: 90b7330c12ed62f66bc7f31f16098942ad82727a MD5sum: fa91a350661edf6de6fe377e9f2db8c2 Description: Python shell for SymPy SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This support package contains the common isympy python script, a wrapper for SymPy which can be invoked with either python2 or python3. . Install the isympy or isympy3 package to ensure all required dependencies are loaded. Package: isympy3 Source: sympy Version: 1.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: neurodebian-popularity-contest, isympy-common, python3-sympy Enhances: ipython3 Provides: isympy Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/isympy3_1.3-1~nd100+1_all.deb Size: 8348 SHA256: 70c954f899d35733a3b6705917f0d071513ba493c1fb11b11e93f9789a66b4ca SHA1: 2a39d0a36ffdbb0b38351de592d413713bcfe95a MD5sum: 602eceed7a85109922b7901e36759c21 Description: Python3 shell for SymPy SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains a Python3 shell (IPython shell if you have the ipython3 package installed) wrapper for SymPy. Package: libclassad-dev Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1454 Depends: neurodebian-popularity-contest, libclassad8 (= 8.6.8~dfsg.1-1~nd100+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~nd100+1_amd64.deb Size: 249788 SHA256: f1bd7866bb31ada48baeee8c39284a83baca9d856081ea234ac8e384c4a39ca1 SHA1: a57a6f3a5cdd13013edffe68a7ef14194f009573 MD5sum: ede161b437f0a9f78433ad9362a31d5b 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: libclassad8 Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 629 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~nd100+1_amd64.deb Size: 199232 SHA256: b1bc4de2566553e22b2af7837c51cb0396221dcc8247522f2035ea04737d6c70 SHA1: 981705bef12d9ecccd7fb6362cad661d505ae49f MD5sum: a43887d46c3c2d5439f6180ebe81d0d1 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: libexempi-dev Source: exempi Version: 2.4.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4323 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd100+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~nd100+1_amd64.deb Size: 678364 SHA256: 91ce238be70e55c41cbe87653b163ecba03a92676670adb0bd5645414991ccbf SHA1: fcc7283b88edd0dce1a68f37cec9c52c1a101f12 MD5sum: 1ffaa8907cc36df5a54cb65d88c57b08 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~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1725 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~nd100+1_amd64.deb Size: 549928 SHA256: f93e56a1dad7a17c02a6a4e5687003800d7c4e8775b96d7eff0cf5288a14f964 SHA1: f873106a33299acf5f08fd66d7d3549a73a85a14 MD5sum: 612642a697d073917726e7fd225a89e6 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7834 Depends: libexempi3 (= 2.4.1-1~nd100+1) Breaks: libexempi3-dbg (<< 2.3.0-1~) Replaces: libexempi3-dbg (<< 2.3.0-1~) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/e/exempi/libexempi3-dbgsym_2.4.1-1~nd100+1_amd64.deb Size: 7955904 SHA256: da87cca434f9f9b29d94b34f370eb5c412472d9ca3ca5ffe322b83ffeaa450dd SHA1: 55f61465281791d625d53178fbd661f2f6ec53bc MD5sum: da35f1c224652865ec24fef586becd76 Description: debug symbols for libexempi3 Build-Ids: 42d129797707c81bad34161e26a5710f7b147709 Package: libgdf-dev Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.3-3~nd100+1) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.3-3~nd100+1_amd64.deb Size: 21104 SHA256: fde2dbf96c0a24d3ea9c08309682f97f5943eea9e81b4a89b912352aaa595d93 SHA1: c704f2cef0efee88c94d790f77dccafee2e02d3c MD5sum: 89e1815898edf8b95aedfb5de71e915e Description: IO library for the GDF -- development library GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the header files and static library. Package: libgdf0 Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 363 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.3-3~nd100+1_amd64.deb Size: 95456 SHA256: 6e15fb7d71ebfcaa5cd7c268bbf834e8f9944744cb02b63321a223c0a602a211 SHA1: d3f24b1768c473491a32806815406a3ef0512826 MD5sum: 2ace1ce76aa1798bbb00a59a31a1ff88 Description: IO library for the GDF (general dataformat for biosignals) GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package contains the shared library. Package: libgdf0-dbgsym Source: libgdf Version: 0.1.3-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1320 Depends: libgdf0 (= 0.1.3-3~nd100+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbgsym_0.1.3-3~nd100+1_amd64.deb Size: 1258768 SHA256: 81a69f017d563383aa647d836e97574c91c5ccb5336c0827af1fdc1bbcca5b5d SHA1: 9a1a9dfc9666f703d64f3ec5ad310fedd38cfa5a MD5sum: 1528558906c52a01c52339bf5bebdf92 Description: debug symbols for libgdf0 Build-Ids: a2ed98d35d32a93ee90f90a37e0030fbbeb754a2 Package: libghc-filepath-bytestring-dev Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 902 Depends: neurodebian-popularity-contest, libghc-base-dev-4.11.1.0-5dd74, libghc-bytestring-dev-0.10.8.2-76891, libghc-unix-dev-2.7.2.2-fe53d, libatomic1 (>= 4.8), libc6 (>= 2.14), libgmp10 Suggests: libghc-filepath-bytestring-doc, libghc-filepath-bytestring-prof Provides: libghc-filepath-bytestring-dev-1.4.2.1.6-f8fcf Homepage: https://hackage.haskell.org/package/filepath-bytestring Priority: optional Section: haskell Filename: pool/main/h/haskell-filepath-bytestring/libghc-filepath-bytestring-dev_1.4.2.1.6-1~nd100+1_amd64.deb Size: 104764 SHA256: e3b44c280ad237bc511131ded23bbb679c0a7afd3eeab68385f42fabc0814600 SHA1: b9e9dead14551dced3ea31fd7fa97329a46c9aa8 MD5sum: f64c9ccc9563d4c5a83e03c3aab4a7db Description: library for manipulating RawFilePaths This package provides functionality for manipulating RawFilePath values. It can be used as a drop in replacement for the filepath library to get the benefits of using ByteStrings. It provides three modules: . * "System.FilePath.Posix.ByteString" manipulates POSIX/Linux style RawFilePath values (with / as the path separator). . * "System.FilePath.Windows.ByteString" manipulates Windows style RawFilePath values (with either \ or / as the path separator, and deals with drives). . * "System.FilePath.ByteString" is an alias for the module appropriate to your platform. . All three modules provide the same API, and the same documentation (calling out differences in the different variants). . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Ghc-Package: filepath-bytestring-1.4.2.1.6-3RbnVi4rUuA2gDcUktLBER Package: libghc-filepath-bytestring-doc Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 536 Depends: neurodebian-popularity-contest, haddock-interface-33 Recommends: ghc-doc, libjs-mathjax Homepage: https://hackage.haskell.org/package/filepath-bytestring Priority: optional Section: doc Filename: pool/main/h/haskell-filepath-bytestring/libghc-filepath-bytestring-doc_1.4.2.1.6-1~nd100+1_all.deb Size: 61644 SHA256: f19ca6476a46df1c312020a2f5f2e4c4ca1fbac26ba558ffbbf344ac9364c384 SHA1: 361a2ffe40169ca334e023e6f203e63713b4d73a MD5sum: e96e7fe2aff55fcf67e866df6cf59015 Description: library for manipulating RawFilePaths; documentation This package provides functionality for manipulating RawFilePath values. It can be used as a drop in replacement for the filepath library to get the benefits of using ByteStrings. It provides three modules: . * "System.FilePath.Posix.ByteString" manipulates POSIX/Linux style RawFilePath values (with / as the path separator). . * "System.FilePath.Windows.ByteString" manipulates Windows style RawFilePath values (with either \ or / as the path separator, and deals with drives). . * "System.FilePath.ByteString" is an alias for the module appropriate to your platform. . All three modules provide the same API, and the same documentation (calling out differences in the different variants). . This package provides the documentation for a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Package: libghc-filepath-bytestring-prof Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 778 Depends: neurodebian-popularity-contest, libghc-filepath-bytestring-dev (= 1.4.2.1.6-1~nd100+1), libghc-base-prof-4.11.1.0-5dd74, libghc-bytestring-prof-0.10.8.2-76891, libghc-unix-prof-2.7.2.2-fe53d Provides: libghc-filepath-bytestring-prof-1.4.2.1.6-f8fcf Homepage: https://hackage.haskell.org/package/filepath-bytestring Priority: optional Section: haskell Filename: pool/main/h/haskell-filepath-bytestring/libghc-filepath-bytestring-prof_1.4.2.1.6-1~nd100+1_amd64.deb Size: 88472 SHA256: 084b2b1c37ba9fccbca49bd554c354752d45b5c3be0de395b1f520a0f80bf58d SHA1: 183cca1cc25182db3979e0490f73a40c3ce3b556 MD5sum: 9b19a27cba764f0e26efc5953c111a95 Description: library for manipulating RawFilePaths; profiling libraries This package provides functionality for manipulating RawFilePath values. It can be used as a drop in replacement for the filepath library to get the benefits of using ByteStrings. It provides three modules: . * "System.FilePath.Posix.ByteString" manipulates POSIX/Linux style RawFilePath values (with / as the path separator). . * "System.FilePath.Windows.ByteString" manipulates Windows style RawFilePath values (with either \ or / as the path separator, and deals with drives). . * "System.FilePath.ByteString" is an alias for the module appropriate to your platform. . All three modules provide the same API, and the same documentation (calling out differences in the different variants). . This package provides a library for the Haskell programming language, compiled for profiling. See http://www.haskell.org/ for more information on Haskell. Package: libgiftiio-dev Source: gifticlib Version: 1.0.9-2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 241 Depends: neurodebian-popularity-contest, libgiftiio0 (= 1.0.9-2~nd100+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~nd100+1_amd64.deb Size: 48028 SHA256: 7f8e6c26d26ce0006f5cc0561cdac82d6de01a6bcf4c77fac7e3874f3de0676a SHA1: 0dec8b3e00c1e7a0d26a882b477256e4247e11a8 MD5sum: 1ea3ccd4d568da9149e8e06a21b02a01 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~nd100+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~nd100+1_amd64.deb Size: 45056 SHA256: 9af1902333e4e843130059d143073ae68da142bc80eb813a42aa2c4facfb4ece SHA1: 0ffbb2fe0e96d8467f272417f624fe6842ed8e00 MD5sum: 87d0f3328d57b2b2c61fd4b13cfd4aad 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: libgiftiio0 (= 1.0.9-2~nd100+1) Priority: optional Section: debug Filename: pool/main/g/gifticlib/libgiftiio0-dbgsym_1.0.9-2~nd100+1_amd64.deb Size: 5236 SHA256: b335d4ed2d3f6fd5b7393f4299a4cc7e8ae63c37b0256679e78e1dcb59723cc6 SHA1: 8db6298871355e6b417cb056b3dbad3356ad7a0a MD5sum: b1b0d71165b031eff08bd8c63e7f8c0e Description: debug symbols for libgiftiio0 Build-Ids: a27e7d68e727595a97a04f6d13981d38ae5347d2 Package: libglm-dev Source: glm Version: 0.9.9.6-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2159 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: https://glm.g-truc.net/ Priority: optional Section: libdevel Filename: pool/main/g/glm/libglm-dev_0.9.9.6-1+nd1~nd100+1_all.deb Size: 175996 SHA256: 66e73d8ede50521f3dffb68eb33696c2958dbd517431592cd7929d6361089429 SHA1: 4dcfa8bf665a472f222acf1d50ca2b4204c4fcc5 MD5sum: af0d59fb747b0928ce558cc1de2df787 Description: C++ library for OpenGL GLSL type-based mathematics OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specification. . GLM provides classes and functions designed and implemented with the same naming conventions and functionalities as GLSL, so that when a programmer knows GLSL, he knows GLM as well, which makes it really easy to use. . This project isn't limited to GLSL features. An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations, quaternions, half-based types, random numbers, et cetera. . This library works perfectly together with OpenGL but it also ensures interoperability with other third party libraries and SDKs. It is a good candidate for software rendering (such as raytracing, rasterisation), image processing, physic simulations and any context that requires a simple and convenient mathematics library. Package: libglm-doc Source: glm Version: 0.9.9.6-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12702 Depends: neurodebian-popularity-contest Recommends: libjs-jquery Multi-Arch: foreign Homepage: https://glm.g-truc.net/ Priority: optional Section: doc Filename: pool/main/g/glm/libglm-doc_0.9.9.6-1+nd1~nd100+1_all.deb Size: 499208 SHA256: 6473bca445f7fb222edaf4897cad6ed9b45bc7960844ba81848b547f05c8873d SHA1: c3a3278d4e5e53001560778acb1ffda6d019e117 MD5sum: 2ba0c2ae32b9371edc829fa5a0889ac7 Description: documentation for the OpenGL Mathematics (GLM) library OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specification. . This package contains the OpenGL Mathematics manual in HTML and PDF formats. Package: libqt5pas-dev Source: libqtpas Version: 2.6~beta-6~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1371 Depends: neurodebian-popularity-contest, libqt5pas1 (= 2.6~beta-6~nd100+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~nd100+1_amd64.deb Size: 142340 SHA256: 4b4c0cd7b84b33c5268cddd4f88ce90be8db2cf991838ca62b98fa0bc54b3e64 SHA1: 8c7ff840570cc9a8cf76c15f9d588c2bf07bb1d2 MD5sum: f67d38dce10a69327f36574948a9c64e 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~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2986 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgl1, libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.8.0), 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~nd100+1_amd64.deb Size: 494704 SHA256: b24e22e3d583a13cd6322a3a84a36e68d8c5b667ca83c9fa5168b6f07f6188e7 SHA1: 18ef63cd9c1b84592b261ebc631a698c7611c75f MD5sum: 351526a6e25bb9ce2d6742e2028bf9ea 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 43155 Depends: libqt5pas1 (= 2.6~beta-6~nd100+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/libq/libqtpas/libqt5pas1-dbgsym_2.6~beta-6~nd100+1_amd64.deb Size: 41958948 SHA256: 3e5d6ee663c6147080d1cf1816ba1048e38c5fc828c314e75d36a104daf97188 SHA1: 38cbf50bdddc8db0f50d749c5fa7a102c431e711 MD5sum: fdcc9b9cf093fcc4eefbf91fa7210310 Description: debug symbols for libqt5pas1 Build-Ids: 029fd4be83e10b67eff0b8578f4b96b37e576291 Package: libvw-dev Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15757 Depends: neurodebian-popularity-contest, libvw0 (= 8.6.1.dfsg1-1~nd100+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: libdevel Filename: pool/main/v/vowpal-wabbit/libvw-dev_8.6.1.dfsg1-1~nd100+1_amd64.deb Size: 1469968 SHA256: fdcb284b173ed97ae9ded4efe7d5c5c74140039cbab54790fed0044f8b4930eb SHA1: 1408d84e22a144ce1b164ad3f9caccf680458b44 MD5sum: 3a5dd6a73a5868f7084b565e7fca706a 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~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2981 Depends: neurodebian-popularity-contest, libboost-program-options1.62.0, libc6 (>= 2.27), 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~nd100+1_amd64.deb Size: 822680 SHA256: dfdfb10753767c48dc99edcea3fcd934367b734954dbcf7fc350777640a1712b SHA1: c17f9563afb7d1015eeae26f2989189273104c93 MD5sum: 7316afa381b778fe1907ed20135b17db 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: mrtrix Version: 0.2.13-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9807 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libatkmm-1.6-1v5 (>= 2.24.0), libc6 (>= 2.27), libcairo2 (>= 1.2.4), libcairomm-1.0-1v5 (>= 1.12.0), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1, libglib2.0-0 (>= 2.16.0), libglibmm-2.4-1v5 (>= 2.54.0), libglu1-mesa | libglu1, libgsl23 (>= 2.5), libgslcblas0 (>= 2.4), 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~nd100+1_amd64.deb Size: 1352928 SHA256: d287b3059d5f1bc25b97f3c2dc6f6b53523e2f6144294fcaa3055edb58312017 SHA1: 0c8c873de698cf7c02fac3a6e13797544b9b367f MD5sum: a695aec9d0dd6072e5ad9d1ad519f16a 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 17244 Depends: mrtrix (= 0.2.13-1~nd100+1) Priority: optional Section: debug Filename: pool/main/m/mrtrix/mrtrix-dbgsym_0.2.13-1~nd100+1_amd64.deb Size: 13371940 SHA256: c232e2eab753f7d9c7be0d83651d376d7306d770bfd621009124d49a80d95886 SHA1: 611ff8a6f58d1d8219b4f0af5a7956f3210a9da0 MD5sum: b1458b320a202e91ca28ea818f4ff7b2 Description: debug symbols for mrtrix Build-Ids: 0eb77d411d075e2e3df1b58d2c9453fbc211c53c 10faab4568ba11f32e589781520089bbcf42cafa 13ef8e2cb5abdc1ece4e205aa112342e2c13d0e5 1606da18848410388d22ee89b9f63c523fdd3ab3 1c014b5e6ae9d9d854fb83c88f461c839cbd953f 1cfae0a8f8201906481f9fe941506cc7a330f13d 1f1d68a297eb46ede4fddd7bfc077af5cd313334 4caed09ddb39e0a95d711c2d0008a82b8cf479e6 52798a7ec41ffe3e097c47649536e0082b26e86e 54f7bf65abaa7d3ae2b8c6f476ddc73486bb8475 63f7c70841c652e76a729075678cacb25ab6aa3b 68136b930675b07e3eee2d9cd1b12913456d2752 7f02343444b59aeb07f6ebc0d61ce64803e20fbd 803032db416ce849f96e0961b2e56c0d97e8af8d 8645de835933e3f9e839dfbd6d631d99440053a3 883e430848ed2e46aec834eaf4d92af5fa6af8a2 8beb223fb71132d51fcc5f6248a03d896ba81ccb 8d75ff9bf8e95810ed2f43e3ed45a88e0606bb7b 94138370b06c71b15853f9b6d6e7ab56fc3f583f 97fdc48048869f7e0b31c3068d355e5574774ba3 a362822dd88b4ee43e18d014f201ad8cef38ed1b a797d3d2a2283e305c4d93071741ccbaf48851b3 aadf0e4e75bdfb8892f340614bb674950d67bb8d b175958f1f75904f0cb6814a8edab6368baefcfd b8b0e38e913e96d6b7f8e36794ec34e58377a23f ba871f1005ba866c44d9023a33acc7ebd576a411 bfcee9de3a87f898a98ea51686e77156d450b366 c0e6dc39d90cae7a5acf91493a8a4be067247503 c425d9f9b06a1c5347281e68063af0447ae6908f c581d040d2f3ed11d468c0d83999272d36fc66ae cdf129681ed21ad4498cb0b887ce6ac61fdc4b90 d1962f3830698dd13b23e07b9b647cf5d6f09707 d581e7584ab867fa61eb5f449880d213ebe8a7b2 db5795dad92446d8e9bcdf16f102eacc2d51a2fe dc37860387a61de859bea8dc76c9fdce3d8c5013 e3796dd6dd5d6c64470bced1cbff676cb3f70613 e49a6a85496a3e60c10c53039863c923ffd92ee2 ea2b1b1ae1afb2634eedeb438978d75180eba95d ee19390e1e4d3e95d77ce415e290dea5da093b23 ef565b0508eacb19dff5e4108589ed61833f0632 f1085ced818562a3d2d21789fad31683dd37bbe9 f56ae1b5786243faef3859eb44141dde254bdc09 f70759aed1ed9fbdac11d7daf8a115fddf461aa5 f7c654d76190a17fb56d9756e559338cd0183d8b f95b37ce4b0a0d87d37e1918f38dd08111f16744 f96ff08c3e9d5e7382c1ba8d58d7ef1c44fad0dc Package: mrtrix-doc Source: mrtrix Version: 0.2.13-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3409 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.13-1~nd100+1_all.deb Size: 3187060 SHA256: be9f535481f95c8c5b4a49b89e1547e7b1eea07aa23ca6b69de7c44907e8bf1b SHA1: d23a50560a4d3e1d593052b05f39c052ba093008 MD5sum: fb73fc42611e90bf0a3feba62a23df02 Description: documentation for mrtrix Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: mrtrix3 Version: 3.0~rc3+git135-g2b8e7d0c2-3~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 47428 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.0), libgl1, libgomp1 (>= 4.9), libqt4-opengl (>= 4:4.7.0~beta1), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.8.0), libstdc++6 (>= 7), zlib1g (>= 1:1.1.4), python Recommends: python-numpy Suggests: mrtrix3-doc, octave, matlab-support Conflicts: mrtrix Homepage: http://www.mrtrix.org Priority: optional Section: science Filename: pool/main/m/mrtrix3/mrtrix3_3.0~rc3+git135-g2b8e7d0c2-3~nd100+1_amd64.deb Size: 7799640 SHA256: eaee0606c832b031e843b4fb0cedd9435646cb173fdd811e245b694df8e5af44 SHA1: 11514ca913a77243f66238fb67e2383bfae750e8 MD5sum: b987a349cf249dbae052b8c831a30928 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~rc3+git135-g2b8e7d0c2-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 672414 Depends: mrtrix3 (= 3.0~rc3+git135-g2b8e7d0c2-3~nd100+1) Priority: optional Section: debug Filename: pool/main/m/mrtrix3/mrtrix3-dbgsym_3.0~rc3+git135-g2b8e7d0c2-3~nd100+1_amd64.deb Size: 661738948 SHA256: bc90e2bf21e4b4685df7fd5baeeb377f4c2f132a8704c1cfb0593e2852a316ac SHA1: aeec27b9178ab46ce68b50024e62d64368909c39 MD5sum: 48f6f47f70368de559a2cec0c8747147 Description: debug symbols for mrtrix3 Build-Ids: 084b2980b05f36454c7dd224c43b56aa6a360a9c 0a5701248b600bd2c0f398ae0c59a3a7930934d3 0ac82ce255faa29d426ce8d69305d3c342f05f9d 0d6fdbf88ba4efb4c540bbc67545d40f040593e4 10b7f679a5c217143202231060e6522cbb3cf8c0 10df372ad5ae4935faf58eb02201e4d8e2d4e1a5 1400424fc53badab6354848c49d5c94dc2957488 141f54483b70968d18a303555b7b4837bb7a46db 163bb3972a2e30c6c7290006bcdaaeac17c3c5ac 21f3ab3afa123d453ab7e24528ca713c0074765d 285585b8684b18cdf3f1bcc02dd9d21790aa106c 296ef27a1f7abe6446977c7089946f1b8d13f2e8 2c8a8e922093b11f4c5a31c1d5e35ad4f17a5a8f 2ff27b8d626ea3bbd0e44bfd88a7f40575096dde 3037c45c3b10d5b1e1634afde9f62e4abd7c8e54 339d4b126b6b9a6a9d63f0deef20e69c278f4593 33bd0c3c6954c4a13e63a11cfd9d33d9986ce2ca 3506ea4170ccbe968fcca6fb6a17da0fadc8b536 379b6245424453b3fde9a67d399925c0bd07c6c2 3b7db4e1ffdb860cef964d8a03bd476b5982a7d4 3bc138a5310bdb39ae11d5b809646057e95b9cad 3d47b02c08050643a81ac9cdaf72da07159d923d 3e27c04f32cb9ceb241fac8287173c9587078d95 3ee373703ac6ce08496ffde150eaa53587a9bcbf 42097a54fe5c02ab7e70c80a001b0b5d940be1d1 4215f8b7e74af868bd41c994081902db6a3932dd 464a491d3ae0a9854da1fa8d40a82d16a5e50391 58066ea0ee957c2b288f83cc4b0f08bbb73d6f16 5955f4fb6511d048da411399b503009a5fe54e06 59c5db5837d0fe588225c794bf367f489ddfb18b 5bbbbef788b6f70fc299e30309487279206fda01 5c2da95fc8a7a9f3c35d4d1f13a7bd027ba02990 5cf69b4feb47309b430d277523f57f597f2a72ed 5cfdae0f17ef5f8bf9376801d9d458f389d277a9 5e83d982b238ca11453acc0d3d0bc601d36b324b 5f84c44960ef3a3628425465b55caa362a6f918b 61025080df5a474c85b905448bc1c33d0a80cc37 61031755420f0162695c8dbe5e7a561d07104ade 6657b1fa8030fd7a8eee13099551a1d3b4555eaa 68444072e895888db4e1e51052fa469237de2ce7 69576af34d6cf5f823799a835179ecb7e3000d7a 6a976d609defb7c2b106a614ba6d9f996714faf6 6d5c3ecc91970f48a6842f24be1695dd82ab5bdc 6ef5f53c95181359f8ddc085c4e76a82390ed080 747c58ca0e36323ade3f86f51cb2623b9f435621 76b4c198257942704785910aa17aeb93b7cd4db2 7fd5a714653dc82766a9f48146db9fae2199e5d0 80d16fbf2db9d1a925e743ff80ed674b8e32f174 82475f75523fc3e2a3a36298261c257fd79c706e 836a81c363fc3e5440a078926984061fce87d4f8 855268c7bab9155b867c3d336abacf79ce6583c6 8961f165da846ec06f36fcbe527dbb21ad852a69 89932d00fe888224bbb23f92a3e671d6cf0b1bd1 8abd93238268e92e017b4cebe37d0d67ac3d511b 9071811e49bbfda789b2e90ce186e8b5fc7b727f 9215ffc2c25a8580433599730958ac372bb03c76 95d122f6b0faa8cae602c49d4543a6e11148e908 978fda4a0051ec6899adbe9c3c6045f8b39ed3ea 9cdb59ef8e275be5082540edc92b3689b0cdb4a9 9e9ec1ce88a63e112759539bc8de0b028a938278 9ed4521fc2468aaacc366d2dc054993cf42b351a a1b6a387094a9014216681579eb7dc031d0420b5 a39b59fc40aee6981063cfcdb7012337e9bcb66c a3e09fdd87f6c78f6bdfe01a81260e3feb5871ff a95ae2c8e53a84e2c686d38b76f4863775d0706f ab840b67290f55645a04a387fcfa92dae3a34972 acc5a3f28d50865cb77c956a2dcc22a586babf1e b3bf22518f2bf3b2a31780396d05cae244e6e8b0 b6734f115c4daf0ee67405938e43b99fdb5ac1f7 b84b4c73e22fbb22727991db7576b99f4cd0d21e bf9b330ca03c88c46cb326a996f8b16907677c30 c423f65fb745cd18c869f60a111945f890cfe267 c4c0cff1f2847b0a29615b208041968c9d910077 c7f85c4ae661b6067a1541765f05fc3e9b569f62 cbd0d2e07db9ae78b719a291aeabd2145eceb66d d1133923da15780534d5accb4eac28c816378b88 d44779749f667d4171fb15bb6e0cc8320a5fbf36 d518b1b55240a7b15299176d61f586d7799ecb68 d6cb22d2504ce67fa7d98bacdc6e1a6ebdac1d42 da0902dfa629b3898a3d7d41de5a7be5e312a685 dd3a13b6fdcae2fc559dd8e7d42480d3cf2f2536 dec913c85aed086a7c44f91388a452976d612eb5 dee239080e51871ee8e9f345bb39af613c9f9732 e25a7c962f829adbb639a4d9785fcc3d8999de01 e4cd092bed958e0a994b31a1fd0816b3869b403a e5314d28ec2734bfab004e80761c63a7bca31f6c e54a76a19ded455ce58c524cfef28a4b7a36b04f e776100f45b1bb2236db60ac488017e7f2d1732f e792d26c4637865360595fdf609480582c2fba25 e7dc47ad65cbce9443fe613c4657162845934c17 ea1ec15380d6863b3ffa0d705ee76e736d055170 ea6a79e833903306f79529caa87b54cb5bb1072e ed4538e3fe2bbe9919c5ce1f414496e0962a71e2 ef71db45f66ca83e01e5861598ed3493e09e0fd6 f1712739bbcede3c107b519ec762419e9aa4e61d f1b1b4c6cc5bf4278026da2778342eff7bbb6126 f2b03db705d0448d521f3bfc4e02ecc5f172a928 f358cea8df31990d49779503e48ddefbaf27eb38 f45ff7995675af0767f73550af3d71956fb9cc07 f4921ef8106e6f6ce3cf6df38d492bd897c6bd98 f54f5740e3cabb836aea23ba074d026a368eeb47 f5a0d97bfd25d540040861097303f47902903e47 f6c38e4b5068abbff7e82e8de3b7aa212e236db5 fb62406982fc2a38fe5a0dc2693416961d3546be fd7d5450c156b8509746d92d29776fdbf4302b6f fe9b0a0342c29f81275b38b64f311e4e9b913d41 ff50a3854251647b8ac9c125144d6093b719e676 ff94a335a47098db80ca88639638e91143699c04 Package: mrtrix3-doc Source: mrtrix3 Version: 3.0~rc3+git135-g2b8e7d0c2-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 86 Depends: neurodebian-popularity-contest Conflicts: mrtrix-doc Homepage: http://www.mrtrix.org Priority: optional Section: doc Filename: pool/main/m/mrtrix3/mrtrix3-doc_3.0~rc3+git135-g2b8e7d0c2-3~nd100+1_all.deb Size: 47900 SHA256: 96949801eda11d75bd579ff9cfab292867f3a7c7eaa7ecf847a872bacdd5973e SHA1: 33a36591e06ce0b207e5f7450d246a4fe59d9548 MD5sum: 49297889374fa38a71ef5a419b794312 Description: documentation for mrtrix3 Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: ncdu Version: 1.14.1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libncursesw6 (>= 6), libtinfo6 (>= 6) Homepage: http://dev.yorhel.nl/ncdu/ Priority: optional Section: admin Filename: pool/main/n/ncdu/ncdu_1.14.1-1~nd100+1_amd64.deb Size: 45572 SHA256: 01708b8124b1e77828fd6df92f0ccfb5b06f739bccf3fd9081b68fee5247476c SHA1: 36f4deae2c5af4cc0ea32b8bfc7527170ecee58e MD5sum: 82e3dd1ae45bd794d6dbc1ba60cdbe95 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. Package: ncdu-dbgsym Source: ncdu Version: 1.14.1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: ncdu (= 1.14.1-1~nd100+1) Priority: optional Section: debug Filename: pool/main/n/ncdu/ncdu-dbgsym_1.14.1-1~nd100+1_amd64.deb Size: 78580 SHA256: e2f436546e250eb36eaf28a698127060cc2d658df81667dbf920b262443e7d28 SHA1: e2d06438bdbb30722c3451594976a899368e199b MD5sum: fd9a03e870157d3057c464f6e3d6150c Description: debug symbols for ncdu Build-Ids: a7618258453fc915f8986285d516a8b65358453c Package: neurodebian Version: 0.40.1~nd100+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_0.40.1~nd100+1_all.deb Size: 34324 SHA256: dcc401185d21eeb09a75baa99879533842b2ea46992ec6b1755766370024d1fb SHA1: 3516526e1afeb2256acfa7bc3de90b3d73c00309 MD5sum: 64809c7c65568224e9d6c70e1492baa6 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: 0.40.1~nd100+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_0.40.1~nd100+1_all.deb Size: 11316 SHA256: f0b22393e4115e6e3bf0256b132a1ca34d2cc83181e276403e7e5bbf601652e1 SHA1: 77f79a01fa894962fbaca27b4d3ff564f7c40733 MD5sum: 4e04dacd535fa6c184772fff48440701 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: 0.40.1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 190 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Recommends: reportbug-ng Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.40.1~nd100+1_all.deb Size: 117184 SHA256: 1b267a41bed2b979bdea8fc471deff76082b3c77ceabe5d0b1cae374d6224f27 SHA1: 914eafa4d4657a40321fc3f617582e03c05c1f78 MD5sum: b4236f4098d19de3b36781459ff9c2ee 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: 0.40.1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 112 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_0.40.1~nd100+1_all.deb Size: 34324 SHA256: a24270835da366dd339f5afd29fa10863c08aed9183a1df6294d47b18b7991ff SHA1: 7d07df33a8dfb3c2439bd31c5ad524075b091240 MD5sum: 1b4a5f519276243afc78244aa473bc48 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: 0.40.1~nd100+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_0.40.1~nd100+1_all.deb Size: 15484 SHA256: 799e342358e4d0b8a7b7fad7bf23b14541f4e6edddb3effe35c291b6817e81a5 SHA1: 4dffd0b62e673fb8b8b48b30e1e56aa1831ea3e4 MD5sum: e12658bf50f8ef84f85f21b0262b92a4 Description: nd_freeze tool to freeze APT sources to use snapshots The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This minimalistic package provides nd_freeze script to be used in rich or minimalistic environments (such as Docker or Singularity recipes) to freeze their APT sources. Intended to assist making such images reproducible. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.40.1~nd100+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_0.40.1~nd100+1_all.deb Size: 13348 SHA256: 3df2b868c08557f434386f49064fc8a6d7d025c8f1b7f44db77e9edeb0dbe5c4 SHA1: 3be636f04cfe27ff95989e2b39e70468a3b49d86 MD5sum: 14b79d44cd304f88690d58dfdbb32aec Description: neuroscience-oriented distribution - popcon integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (either Debian or Ubuntu) popcon server. . Participating in popcon is important for the following reasons: * Popular packages receive more attention from developers; bugs are fixed faster and updates are provided quicker. * It ensures that support is not dropped for a previous release of Debian or Ubuntu while there are active users. * User statistics may be useful for upstream research software developers seeking funding for continued development. . This requires that popcon is activated for the underlying distribution (Debian or Ubuntu), which can be achieved by running "dpkg-reconfigure popularity-contest" as root. Package: nuitka Version: 0.6.7+ds-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10364 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python3-appdirs | base-files (<< 7.2), python-dev (>= 2.6.6-2) | base-files (>= 11), python3-dev, python3:any (>= 3.3~), python:any (<< 2.8), python:any (>= 2.7~) Recommends: python-lxml (>= 2.3), strace, chrpath Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.6.7+ds-1~nd100+1_all.deb Size: 879768 SHA256: 9c7ed2862800480f1d3ba1b9d39b0c6d9a39cccf650613e05ec1fca0b02a92c7 SHA1: 6aaa8a6019f1cb5234643e5d1e8c6bae63af28e5 MD5sum: a0e5151da967ceb1dbb462c8f10c0659 Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: octave-gdf Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 339 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgdf0 (>= 0.1.3), libgomp1 (>= 4.2.1), liboctave6, libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.3-3~nd100+1_amd64.deb Size: 83236 SHA256: e3a19f9d8567f8be10fc4f043cfe6ccf3b4ba481e3a717ac7f3aeef656b1148f SHA1: 24e4073295da9740838307abebdab53ad9fee094 MD5sum: cbe85b766739a5458ef1f69e81f2e627 Description: IO library for the GDF -- Octave interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides Octave bindings for libgdf. Package: octave-gdf-dbgsym Source: libgdf Version: 0.1.3-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1195 Depends: octave-gdf (= 0.1.3-3~nd100+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/octave-gdf-dbgsym_0.1.3-3~nd100+1_amd64.deb Size: 1120864 SHA256: 4444b9e97ac47be16d7bc170697cee0937c77145cca643968c9dbd292c54fa80 SHA1: 92e629dd7ac939582060f21de7434ee96b8569ba MD5sum: a86d55e904c06cdcadead53b929586d1 Description: debug symbols for octave-gdf Build-Ids: 2169134b7b0f882b190ed5ad77ab12e2a1a4820d f7ccc67b98b4f44c85808029638d581d0997fc46 Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4471 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.14), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:3.0), 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), liboctave6, 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~nd100+1), psychtoolbox-3-lib (= 3.0.16.20200326.dfsg1-1~nd100+1) Recommends: octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.16.20200326.dfsg1-1~nd100+1_amd64.deb Size: 871428 SHA256: 7ee4bc77d96d9df3088f008e1c13eef980f862cadd2252197b348697e76d0670 SHA1: f3f1b4789b21ecb73a43969dba8dfccf8bd5513d MD5sum: d26bea264bed363e290b5fcfc4b80e25 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: patool Version: 1.12-3+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: file Suggests: arj, bzip2 | lbzip2 | pbzip2, cabextract | lcab, ncompress, cpio | bsdcpio, lzop, p7zip-full, rar | unrar | zip | unzip, rpm2cpio, binutils, lha, unace | unace-nonfree | nomarch, unalz, lrzip (>= 0.551), tar (>= 1.26) | bsdtar, xdms, orange, lzip | plzip | clzip | pdlzip, sharutils, flac, archmage, genisoimage, python-argcomplete Homepage: http://wummel.github.io/patool/ Priority: optional Section: utils Filename: pool/main/p/patool/patool_1.12-3+nd1~nd100+1_all.deb Size: 37380 SHA256: ea6ce2e19856da4fddccd0842d7503abf3ede3ae43b13665dbead8dadd21ad68 SHA1: 4c8fc00a771d538d752300982947bce0cd8acdba MD5sum: 7496ce2ca5630d264e2765e27d22c710 Description: command line archive file manager Various archive formats can be created, extracted, tested, listed, compared, searched and repacked by patool. The archive format is determined with file and as a fallback by the archive file extension. . patool supports 7z (.7z), ACE (.ace), ADF (.adf), ALZIP (.alz), AR (.a), ARC (.arc), ARJ (.arj), BZIP2 (.bz2), CAB (.cab), compress (.Z), CPIO (.cpio), DEB (.deb), DMS (.dms), FLAC (.flac), GZIP (.gz), ISO (.iso), LZH (.lha, .lzh), LZIP (.lz), LZMA (.lzma), LZOP (.lzo), RAR (.rar), RPM (.rpm), RZIP (.rz), SHAR (.shar), SHN (.shn), TAR (.tar), XZ (.xz), ZIP (.zip, .jar) and ZOO (.zoo) formats. . It relies on helper applications to handle those archive formats (for example bzip2 for BZIP2 archives). . The archive formats TAR, ZIP, BZIP2 and GZIP are supported natively and do not require helper applications to be installed. Package: psychopy Version: 1.85.3.dfsg-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15994 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-requests, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython, python-future Suggests: python-iolabs, python-pyxid, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.85.3.dfsg-1~nd100+1_all.deb Size: 6666356 SHA256: 501be7b5d955e73a73fcc0cc523a542e2b9855a7d9efedfd5e7870c7e53d1522 SHA1: 1faf53e1e15af8a16d1a4719a3f15e3d4e5a1aa2 MD5sum: 7b6d3d65bf52fd741280b91b52cd2f82 Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd100+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~nd100+1_all.deb Size: 23932156 SHA256: bcffd598b1ad1c1f0a43556b273f0d30ae484240e2f52eada925ed843891d4d4 SHA1: 48d71635285ecf5f7cad3de5eeda1cfa9fca0530 MD5sum: 17aa29ee0cfe25fcf6ab0c2f1f998ef1 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~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10197 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.16.20200326.dfsg1-1~nd100+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.16.20200326.dfsg1-1~nd100+1_amd64.deb Size: 9163164 SHA256: c89a8e8f98c65048516502e4503aa616a3e0e27e11cec483f4b78a61bcd31108 SHA1: 04065816b3361d3a9955e5c7d6fd70fd3d87eb4d MD5sum: ca76a34a1636408c07c83dd12fe236da 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: 05b0ef52477aefe25a3fc38b3f1dd996f7b271c3 0f68cb76f0ea0ef3e7a71ccd7220803e782c9d72 1d16c44fa4d40eae43483ede0e1b7fbf2e3b0cce 1d75296e0b3c3eb8993f576881aaf91dd871a204 20201f8edaec19b7d93cedfed8e2c5e6e9e437b9 2299281909869bc96c676cc35333e0e335d7029f 24b48a7dc146764e80a01f7a873e9dfbe17b2df1 8967e5480a094502cdd63281426b82df23b29932 8e36914231fd4f8dcd3f7f03d76da05832bfa8e5 af9c3fd7d06813f781f75649eca67a876529bdef e13c8ed21b22191bdf3295e0008a94c41edefdcc Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 195 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5) Recommends: gstreamer1.0-plugins-base, gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.16.20200326.dfsg1-1~nd100+1_amd64.deb Size: 74008 SHA256: 49ccf6d802622717a2f406e372a5e57ee9a7b6d63c1d31d807ebbab3627bc61a SHA1: f227b89f2f1908a161d6caa827a5b00fe61fc7a8 MD5sum: 949a5c845d8f101cf1aafb43e86a0586 Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: pypy-hypothesis Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, pypy-enum34, pypy, pypy-attr, pypy-coverage Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/pypy-hypothesis_3.44.1-1~bpo9+1~nd100+1_all.deb Size: 161756 SHA256: 127e8628e3321370f0419a07e20cfe79858faf9b12748423dc799c0fae5af33e SHA1: e2ba3b79e25cfaa5572708b8a314b3ebd2f5cfd3 MD5sum: 85e3203ce304217d82838b058e8dc78b Description: advanced Quickcheck style testing library for PyPy Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the PyPy module. Package: pypy-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, pypy Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/pypy-json-tricks_3.11.0-1~nd100+1_all.deb Size: 19024 SHA256: 709d887281049d7b85ea050c05dc2a50dcfa6b11c05d1182f77750baf47c7ba0 SHA1: 37a98fbae6cfd1a8c4e479873857f93309992b75 MD5sum: 705a5fa9004f128f563934ce5012b49b Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: pypy-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, pypy Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/pypy-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14650 SHA256: 76fdeb72716499c4357486c73e1a178d3605b98757ec12dbaf0c6c16088fe518 SHA1: 769f10e69f65697be25a312a5d4a262c7f658d39 MD5sum: eb23aaa893aa6184e71f86efa5279af6 Description: Python 2 and 3 compatibility library (PyPy interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the PyPy module path. It is complemented by python-six and python3-six. Package: python-boto Version: 2.44.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Provides: python2.7-boto Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python-boto_2.44.0-1~nd100+1_all.deb Size: 739672 SHA256: f89652b2bc2804fa9d8c00d9178837e68dc41d267695af38f087ae9ef87af067 SHA1: 19f010e86b66d5d04e72b9aa9b84eb4d2379bf3a MD5sum: fcaeee51e2b238b07d7ebae004f7f72b Description: Python interface to Amazon's Web Services - Python 2.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 2.x module. Package: python-bz2file Version: 0.98-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~) Provides: python2.7-bz2file Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python-bz2file_0.98-1~nd100+1_all.deb Size: 7904 SHA256: b7b26050822583e81531e4053a405ed8f5526153585dec126e38ab865ca848f4 SHA1: 2781ff25a0895a006df426d545c47fd7831a8190 MD5sum: 68149145d6fa948ddb8877962f30d59b Description: Python library for reading and writing bzip2-compressed files Bz2file is a Python library for reading and writing bzip2-compressed files. . It contains a drop-in replacement for the file interface in the standard library's bz2 module, including features from the latest development version of CPython that are not available in older releases. . Bz2file for Python2. Package: python-chardet Source: chardet Version: 3.0.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python-chardet_3.0.4-1~nd100+1_all.deb Size: 80396 SHA256: cfdb639d4027edd28db73da5a2bfc3e9af9e93f313397722b8ac4dfa580cc95a SHA1: 5403e92e3264577bf3c9810eb176390a9fcc9ed1 MD5sum: edb727b1d260695644fb9835d55d77f1 Description: universal character encoding detector for Python2 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. Package: python-datalad Source: datalad Version: 0.11.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4573 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180913~) | git-annex-standalone (>= 6.20180913~), patool, python-appdirs, python-fasteners, python-git (>= 2.1.6~), python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage, python-keyring, python-mock, python-msgpack, python-pil, python-requests, python-simplejson, python-six (>= 1.8.0), python-tqdm, python-wrapt, python-boto, python-chardet, python:any (<< 2.8), python:any (>= 2.7~) Recommends: python-exif, python-github, python-jsmin, python-html5lib, python-httpretty, python-libxmp, python-lzma, python-mutagen, python-nose, python-pyperclip, python-requests-ftp, python-vcr, python-whoosh Suggests: python-duecredit, python-bs4, python-numpy Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.11.8-1~nd100+1_all.deb Size: 950060 SHA256: aa3facf3776df313869a222746b45d8ea22e2d2f51f411625b79ffe8735192b2 SHA1: 5625c198f4931616ad3a7a8a2a30dcb43c4a0401 MD5sum: d279d6a4bf982be5bdf404f9b89fdebb Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 2, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python-dcmstack Source: dcmstack Version: 0.7-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 504 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python-pydicom, python:any (<< 2.8), python:any (>= 2.7~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python-dcmstack_0.7-1~nd100+1_all.deb Size: 76440 SHA256: 86b7b54d288087388516f7cff260c17f9fd5bc78c3bc75def857618c7abefd07 SHA1: 53bacc04ba61eb1e3e482e492d0b53bfcc346a0c MD5sum: 745886b8ece9aaae0fcbf440369a3d36 Description: DICOM to NIfTI conversion DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python package, and command line tools (dcmstack, and nitool), as well as the documentation in HTML format. Package: python-deprecation Version: 1.0.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python-deprecation_1.0.1-1~nd100+1_all.deb Size: 8510 SHA256: 904e099f90b7871c149adbd3d7be35e8e3c9098be821c339ef1aff04faec03d2 SHA1: 92c0e437c4fd51cde8ffb52c35c6fd0a88152393 MD5sum: 0588bedde980f3c0c12eb56df1e933da Description: Library to handle automated deprecations - Python 2.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 2.x module. Package: python-dicom Source: pydicom Version: 1.2.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python-dicom_1.2.1-1~nd100+1_all.deb Size: 4888 SHA256: df90b827394bdd3f8a81972ca2595cce02fb15a66c315860d637fbb1913b59d6 SHA1: e9c049a8e4a6f2949c633ed80efef531dcc8e097 MD5sum: 2ae2359feb46d23b46d1e2e4a3d09377 Description: transitional package for python-pydicom This is a transitional package. It can safely be removed. Package: python-dipy Source: dipy Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8634 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.14.0-1~nd100+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel (>= 2.1.0) Suggests: ipython Provides: python2.7-dipy Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.14.0-1~nd100+1_all.deb Size: 3062240 SHA256: 87b0e6e79a27969c020a7850b4b8ddb02e5a386540b9eb41e8d920509df9e0c6 SHA1: 03fb60cb9818fdb2eff868172343c0c329331904 MD5sum: 8c62f74ba229ddbc44e665c406f40ca8 Description: Python library for the analysis of diffusion MRI datasets DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging. . Here are some of the highlights: - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE and MAPMRI - Fiber tracking algorithms: deterministic and probabilistic - Native linear and nonlinear registration of images - Fast operations on streamlines (selection, resampling, registration) - Tractography segmentation and clustering - Many image operations, e.g., reslicing or denoising with NLMEANS - Estimation of distances/correspondences between streamlines and connectivity matrices - Interactive visualization of streamlines in the space of images Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16479 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://dipy.org Priority: extra Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.14.0-1~nd100+1_all.deb Size: 12643476 SHA256: 123fac32659bfd4fc535b3a70cfe64c6045be1440b02b76b08df43c4c817ed56 SHA1: 6a4dc8a19cb65eaea8c17736146c075459b91ef5 MD5sum: 05285aa2476a109e45f45698615586d6 Description: Python library for the analysis of diffusion MRI datasets -- documentation DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-dipy-lib Source: dipy Version: 0.14.0-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11797 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.13.1), 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~nd100+1_amd64.deb Size: 2131084 SHA256: ab4ebb8bab05b10dc646ad44a5738539f06c51c3ca88214b701a918ad6aef21a SHA1: cf83a3385d82bb3f775dcbf13a739e2bbe29597c MD5sum: 57da65648f47ad5f2adbb935c67ca71d 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10566 Depends: python-dipy-lib (= 0.14.0-1~nd100+1) Priority: optional Section: debug Filename: pool/main/d/dipy/python-dipy-lib-dbgsym_0.14.0-1~nd100+1_amd64.deb Size: 9198448 SHA256: 59c22cd212d1334af15b8e1b73bb9a0365897811a5602dcbf7c177e323e7b2f8 SHA1: 76167c66cf86053495e5422f616e840ac486e6a8 MD5sum: 4440b10d38d5bca7a9f00932cfa321ad Description: debug symbols for python-dipy-lib Build-Ids: 0278bf6b252ba2194131384344a9e31655dc16c6 08f3ebf9bf2513ba45ffc6dfe6264d13c1b62ca8 0c1a9388b6b63ce8e574a237a9fefaa648e5f12a 0c85aaf719fcefa31981b452a0104a2302b88a66 108d84aad5634d0451e474c7ffc1f94338dfdd1d 13126a5927fb9d2c44e407a2757592b7c95f37ba 23f14b2c23c5c15a76ff048978afbd8c85faf913 2742da366085e9d54f17c732da7d01e49d8920c1 2b0d64a11f04cd896fb7149df5ef547eadf6cc30 3754baa290ca83284a99b4ba45c346d63f9aaccf 37ef478481711a89cd6347010f22ff36b297647d 46050294ecd1cf81b1ea5caf1c18be9fc4b08926 4e041ab2e465ff9999bf4b1bfb3dcd6af1cc0ac1 5858969acc03f9b816f077397c98d41ae459ba6b 67279c8e650ecf862460e575c5bf52c9a84855ed 6946b6fea1c4d1a44db6ad6e11e9b0ecfa3e7de1 6cadd4b9ec952c5dabdd018661df8d1bc0cffde5 6e12a04ff35325e3289245019e68b77537fca6d1 708c6e0d94e58a338d9e2b0301835cecc6571b05 721f86d5d83a5be902d448143e5ba8a008d09da3 7684ef06b9363a0cd3a8a9faf16e87c9490a194f 792277b17ebbabe44040d4dee604978aa02029a3 8472d07c9e86878b85fa00c76a6ecf7f08e1e609 85901b2a3530295f73c3396bf6009573caea0f89 9248d601b6ce5ef390e73ad90091ea304005bcd0 94f446f5a150bc8a52e9c67876296015b93b0165 a99ac2882c88c042b6d0101d211e908deec2c36b b3c34b84b5fa3339a7249a5e3e40b5874850de0e c875c5a38aca2c59bd13cf3d65d856d4836635b1 d1f106d42a4ef11977431a296d643af73620db50 d2d3eeaaf50b79c17678420e60a32b914e6adfd3 d76160112e435a54c5dc4a2cc074ca76ae3b3e8f d820a8715ab92ecf7f1218dbe909776190cefe94 e510a7dcc8fdc2dcb913df17ba437e7215673b04 ec3ff44e0713c97cde7dc31640c8f755a777e847 ed84122418821c2b96cef56d2c4d2a6ea68819d8 fb4dbe6c1ac084e0184312bebbb6549dc41f6a0d Python-Version: 2.7 Package: python-duecredit Source: duecredit Version: 0.7.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 250 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.7.0-1~nd100+1_all.deb Size: 57264 SHA256: d918bf78a48dab3bf9170e47735051feea65b0d28c4ffd1d09af30ddde08c43f SHA1: 6c9c1edd98c4142f329a6d20751f794aa4af2221 MD5sum: 9ba5b05ed61f1b58d499c6addfdb87b2 Description: Publications (and donations) tracer - Python 2.X duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python-exif Version: 2.1.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-exif Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python-exif_2.1.2-1~nd100+1_all.deb Size: 30928 SHA256: 158580cf80d19da4c435467fc6b0418f7b3ca637fb163ce8b96b44d2fb54680c SHA1: 908d673c2cd2f0a290bbe49bb4ddcdd2d2c82f5c MD5sum: 9935895be8bb82e580f54b9746610b47 Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 2.x module. Package: python-fasteners Version: 0.12.0-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python-monotonic, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python-fasteners_0.12.0-3~nd100+1_all.deb Size: 14692 SHA256: 0c5c304431fdcd9c91c4d6967b416d0912899d3b799fb3b60607509548c42743 SHA1: 84dc47a34579319adf92251bc37f0abef6f569c5 MD5sum: c35ece3854c2074030c22ba838b26174 Description: provides useful locks - Python 2.7 Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 2.7 module. Package: python-filelock Version: 3.0.12-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~) Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python-filelock_3.0.12-1+nd1~nd100+1_all.deb Size: 8212 SHA256: 4429d39686af671a5ba17cfb848c9972a5644573fc75bbe0dc4f6bba4986f3fe SHA1: 9a3344bb2041de4430925dc94d81ecd9a0118b5e MD5sum: c460f3afa1bd8270d215540330746930 Description: platform independent file locking module (Python 2) This package contains a single module, which implements a platform independent file locking mechanism for Python. The lock includes a lock counter and is thread safe. This means, when locking the same lock object twice, it will not block. . This package installs the Python 2 version. Package: python-fsl Source: fslpy Version: 1.2.2-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), python-deprecation, python-indexed-gzip, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-wxgtk3.0 Conflicts: fsl-melview (<= 1.0.1+git9-ge661e05~dfsg.1-1) Provides: python2.7-fsl Priority: optional Section: python Filename: pool/main/f/fslpy/python-fsl_1.2.2-2~nd100+1_all.deb Size: 84288 SHA256: c5357959469fdc74ded339915381ef8b4b23310085c9c2519cf42f0f8523939a SHA1: ae1828d72360b9364dd3de0395fca492cf0084eb MD5sum: 36b211ec8891ac559838de1ac696d4d5 Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-fsleyes-props Source: fsleyes-props Version: 1.2.1-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-props (<= 1.0~) Replaces: python-props Provides: python-props, python2.7-fsleyes-props Priority: optional Section: python Filename: pool/main/f/fsleyes-props/python-fsleyes-props_1.2.1-3~nd100+1_all.deb Size: 75408 SHA256: 7970b4f572d0f97b70ac5e603fac9c3d260f38282eb1a60d29c87c7547c11d22 SHA1: 0ac50da293c6d0e7dbf81677639170f6fc353d17 MD5sum: 9127dcd1be874f7695d5abc26890505c Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-fsleyes-widgets Source: fsleyes-widgets Version: 0.2.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 375 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-fsleyes-widgets Priority: optional Section: python Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.2.0-2~nd100+1_all.deb Size: 69076 SHA256: 5e90d641332bf9faeae2713e69888f69c12325b9aa3ef002a5e6adbcc750f139 SHA1: b3b15e74b16d8b8cd84791d81e95a7331fd39c78 MD5sum: 1aa0af40996d1f415623ab23858cadd0 Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-git Version: 2.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1654 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.1.8-1~nd100+1_all.deb Size: 303368 SHA256: 6eef740fc676ea9a40c8fb116383eb7d82e2723684420efcebe977986b5d2325 SHA1: 8d15056d098fc781f0a660a13d342a9a6afb6700 MD5sum: c830187684dc735f551d5ffd5131eac1 Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 3.0.5-1~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1039 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.3+dfsg) Breaks: python-git Replaces: python-git Multi-Arch: foreign Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_3.0.5-1~nd1~nd100+1_all.deb Size: 131068 SHA256: ee137273cc63ace72980b24d94d1a940ba77c194f12ef3f074a81d2192a9b60e SHA1: 7dadcfad34ef5da796f69739b66ead8cf142b3ea MD5sum: 305e3bc59b32f345d327436013d4c072 Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-gitdb Version: 2.0.6-1~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python-smmap (>> 2), python:any (<< 2.8), python:any (>= 2.7~) Provides: python2.7-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python-gitdb_2.0.6-1~nd1~nd100+1_all.deb Size: 46996 SHA256: 987f25fb2242ff43e00b0b3af1e55acfa2ecd82666485043f3f6a39f2b05f999 SHA1: b68d75a1e0e7fc2c1b796162716b7d04fee471d1 MD5sum: 983e8d9990d1e4dca6abcecba566cb5d Description: pure-Python git object database (Python 2) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package contains the Python 2.x module. Package: python-github Source: pygithub Version: 1.40-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 807 Depends: neurodebian-popularity-contest, python-jwt, python-requests, python:any (<< 2.8), python:any (>= 2.7~) Conflicts: python-pygithub Replaces: python-pygithub Provides: python-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python-github_1.40-1+nd1~nd100+1_all.deb Size: 55568 SHA256: 5c35cb9febabb143a49bf83ad80443c9c1898a8f58abc5f47ee303afa2ca354e SHA1: cadd4330beb100eaab69845f07ed79f06968402c MD5sum: 785bc6779ae194e4037bbccaa4eb9de5 Description: Access to full Github API v3 from Python2 This is a Python2 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python-h5py Source: h5py Version: 2.9.0-6~nd2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3325 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, python-six, python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.14), libhdf5-openmpi-103 (>= 1.10.3), python-mpi4py Suggests: python-h5py-doc Homepage: http://www.h5py.org/ Priority: optional Section: python Filename: pool/main/h/h5py/python-h5py_2.9.0-6~nd2~nd100+1_amd64.deb Size: 747840 SHA256: 65899293eecedfa1ef5e2097a13e282146990a4edd7cc97db5ce59ed89632949 SHA1: 930972c0fdd6904539e92d30e53355ce6e39bbd2 MD5sum: d50226b23af1a548058736993f2959c0 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: 2.9.0-6~nd2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 17753 Depends: neurodebian-popularity-contest, python-dbg (<< 2.8), python-dbg (>= 2.7~), python-dbg:any (<< 2.8), python-dbg:any (>= 2.7~), python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, libc6 (>= 2.14), libhdf5-openmpi-103 (>= 1.10.3), python-h5py (= 2.9.0-6~nd2~nd100+1), python-numpy-dbg Multi-Arch: same Homepage: http://www.h5py.org/ Priority: optional Section: debug Filename: pool/main/h/h5py/python-h5py-dbg_2.9.0-6~nd2~nd100+1_amd64.deb Size: 5908116 SHA256: 537e2358706abc7601e2f79691a063acc4d40a4e2018ff1c00022575fefcf7df SHA1: 5c371c3647917480b10a24e785d3c21a84437250 MD5sum: 08662aa948dc393c8e014721808db0d9 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. Build-Ids: 0b43be37e67f2b32477d9a649125260ef1fdc38d 3654c8901b59236e8c55ca87f3c14be7a4a86a9d 382724b0d2ddb217bdf0b26a6e842e10d214d01b 3d2627c2890d871179dbb184ac244cafa2de0de8 47a32954dbd7b5da4e31f23d3e3100d2944c9097 4f65d450e020f157c771e6f5379863026f7a3ed3 553d7eb436f37b7220911afa0904ee0185d7deaf 5cb040c63aa97b164e346d2bafeceebdebd14560 653df2ba7a1855af655e0419f82a48fe0ec88bb2 6fb35a91baa399e5db0a4c29cc02c01dfb347d16 7202b3846e555e9db587bc2c7dafe2970979f5ff 7ac9b1dd7c7ba5f69bad9b8319ac35e8319720e8 97055cf0c97c6ac4109dee5618bf4021d75a97b8 9f6719c72b95e06e3f28e575fc8afb422badb699 a3213162cd06faf93d3da060651f6502ae56c459 ab99344757d234828096311ec8dd748caf891da7 b08e06e1de042a9d0785f5ae7442b78574b3168e bdf92a4c44b7796f794cd609231d3dd73625cd15 c47452aae5320538877aa8f8f7e576bee5a89fe3 d6ec1796618b9ce70dd3042de267a085561fdc45 e271e2e6c2ccde5c98dedb62d502a5cecb5e11ac f0e16982e108004dd312429cb56a474770068784 Package: python-h5py-doc Source: h5py Version: 2.9.0-6~nd2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1522 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), libjs-mathjax Built-Using: sphinx (= 1.8.4-1) Multi-Arch: foreign Homepage: http://www.h5py.org/ Priority: optional Section: doc Filename: pool/main/h/h5py/python-h5py-doc_2.9.0-6~nd2~nd100+1_all.deb Size: 186620 SHA256: 4a81c970143cb39c11e361e7b561a3dfd3cb4bf37151c600f19544ff5d5e48ae SHA1: cb4f5cc6e8da2d0f7395be3936810b6b31ab67d9 MD5sum: 1996b65ff26b1889dd0b312d13102f07 Description: documentation for h5py HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the documentation. Package: python-httpretty Version: 0.8.14-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python-urllib3, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python-httpretty_0.8.14-1~nd100+1_all.deb Size: 21036 SHA256: 53043152c774e368b9f143ec88f5f294acb2443cf232e400ca2f836f6ef50702 SHA1: e48332307a50a4cb27236483ef029d8070c6e016 MD5sum: 126c0875fb99c2b83e2e2bb37ebb8f46 Description: HTTP client mock - Python 2.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 2.x module. Package: python-hypothesis Version: 3.44.1-1~bpo9+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, python-enum34, python-attr, python-coverage, python:any (<< 2.8), python:any (>= 2.7~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python-hypothesis_3.44.1-1~bpo9+1~nd100+1_all.deb Size: 161628 SHA256: 7ba524dc5859ce798f1917f5fceed10727e573c4cfa54386ce49596b5b2264a1 SHA1: 6e415a96396f4b2a5a7597ec6e6f990fbcfa0c14 MD5sum: 39bfaedffdfe6007a2318e4dbad73e38 Description: advanced Quickcheck style testing library for Python 2 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 2 module. Package: python-hypothesis-doc Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1133 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.0+dfsg) Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: doc Filename: pool/main/p/python-hypothesis/python-hypothesis-doc_3.44.1-1~bpo9+1~nd100+1_all.deb Size: 185532 SHA256: 7ea38003ed417b8f9f675eeceaa71a73265b01dbf01c6b9b3eb253635c8891f6 SHA1: 7bc8207ad30670e06a8c2aa422d155197ba7cc70 MD5sum: 27a6565d794e34233ec49f2de01ef218 Description: advanced Quickcheck style testing library (documentation) Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the documentation for Hypothesis. Package: python-indexed-gzip Source: indexed-gzip Version: 0.8.6-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1165 Depends: neurodebian-popularity-contest, cython, python-numpy (>= 1:1.14.3), 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~nd100+1_amd64.deb Size: 339736 SHA256: e2d4caa3c077fa10b17cd52f281e610957012ff7f7e9627040279596c522b875 SHA1: db31b58495d543a0fa5387f28341b947ff18bd69 MD5sum: a3f00163266e90a1f8bcb3dcc2282d3b 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 939 Depends: python-indexed-gzip (= 0.8.6-1~nd100+1) Priority: optional Section: debug Filename: pool/main/i/indexed-gzip/python-indexed-gzip-dbgsym_0.8.6-1~nd100+1_amd64.deb Size: 829716 SHA256: d2f1c8697f8872b4a74a1b02c16ab84bcf7d6986d0bb91b7bf5e536dde0baf50 SHA1: d708a6d6e49da6a0a9873c19e2b48b009c18d39d MD5sum: aefd59be6376683b39f4fdfee6350df4 Description: debug symbols for python-indexed-gzip Build-Ids: 478f5f59aee40b0f53b8cb3a0e0a21b0a8dba799 ae52ae7604f916b7c6d75af442b5d4e638c37354 bedd9d0e95caf20d0b0e6376b0d6d7d9b8535c44 Package: python-joblib Source: joblib Version: 0.13.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 875 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), procps Recommends: python-numpy, python-pytest, python-simplejson, python-lz4, python-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.13.2-1~nd100+1_all.deb Size: 192376 SHA256: 6c59fc5ca0d905ab3e76379ba376508108e5ab66748c48f4ab0ae1885715392c SHA1: 2d9c5dbc2ba0cd8fbc915570ceaae68a04afdc85 MD5sum: 74725d078d2380801a96860300ced766 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 2 version. Package: python-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python-json-tricks_3.11.0-1~nd100+1_all.deb Size: 24620 SHA256: c96f7343c4447c11a311b17d75728db7e92f6d26710d59261ce70d1dfe79e0ac SHA1: 7c12e119a49c9d4feb0dc37e6ff83fa95a1e5aad MD5sum: 7f0b9066072021f8d87359bd75ff5f59 Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python2 module. Package: python-jsonschema-doc Source: python-jsonschema Version: 3.0.2-4~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 561 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/Julian/jsonschema Priority: optional Section: doc Filename: pool/main/p/python-jsonschema/python-jsonschema-doc_3.0.2-4~nd1~nd100+1_all.deb Size: 74328 SHA256: 439db829c2f85b41b2d7b79e55ad6e95963917d14dbb49e5526ecd949e2bec3a SHA1: 2aab36bb1124d9215c37228c9309a5e22ae8a25f MD5sum: c2db5ea036ab4bafd31a57f85c8f1a25 Description: An(other) implementation of JSON Schema (Draft 3 and 4) - doc JSON Schema is a specification for a JSON-based format for defining the structure of JSON data. JSON Schema provides a contract for what JSON data is required for a given application and how it can be modified, much like what XML Schema provides for XML. JSON Schema is intended to provide validation, documentation, and interaction control of JSON data. . This package provides the documentation. Package: python-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python-tz, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python-libxmp_2.0.1+git20140309.5437b0a-4~nd100+1_all.deb Size: 24436 SHA256: 216594f30921b5bc47b4b621b6a2276ddcbeee57d3cc7bdccad592527787acaa SHA1: d7762b6b56e778e5a04af8cd979f8efaf51851fa MD5sum: 15ec1ac52ef41a44cb1542d5f5e2af1d Description: Python library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python bindings. Package: python-libxmp-doc Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 238 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-libxmp, python3-libxmp Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-xmp-toolkit/python-libxmp-doc_2.0.1+git20140309.5437b0a-4~nd100+1_all.deb Size: 38396 SHA256: 63129936e87754af0e3487b7df963a472ebe6558637512bd2bdede84a0f25e43 SHA1: eb41f6b4f57b47770c32f6a58ec393a551eb0768 MD5sum: 86207cee3b61676a928bcd68861a1dbe Description: Python library for XMP metadata - documentation Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package contains the documentation. Package: python-monotonic Version: 1.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python-monotonic_1.1-2~nd100+1_all.deb Size: 5540 SHA256: c6352cb1064f3234a2926cb83704caae2ed31305f48f353bdc5e06fa29440a56 SHA1: 49f31c28928fa9b999c52d9e90495321dd7a7cf3 MD5sum: c9cdd9579a8a12b91c2f6c82a44acdd1 Description: implementation of time.monotonic() - Python 2.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 2.x module. Package: python-msgpack Source: msgpack-python Version: 0.4.8-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), 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~nd100+1_amd64.deb Size: 67560 SHA256: 17bd325e44ec20b9c17be5f29a802360aeba357c129daccaa9c673c6e17f0506 SHA1: b8ce29fd1cff01b2632df8550b17c949e519349c MD5sum: 563c50fd8c1d4979ed3c6b67c8ae2731 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 260 Depends: python-msgpack (= 0.4.8-1~nd100+1) Priority: optional Section: debug Filename: pool/main/m/msgpack-python/python-msgpack-dbgsym_0.4.8-1~nd100+1_amd64.deb Size: 220768 SHA256: 8f922df8df5097c728372415fbf8337ce849fc355694e5ad7a77587608441665 SHA1: 0db7a8f69eaf8cd62c0832b1e0dd6737591499fc MD5sum: b3731a15829d45325c707274dc2fcd07 Description: debug symbols for python-msgpack Build-Ids: 71af1a6ae3abe5ebbf24014a870ed9d3ce930316 a55c11b03cd67e6ae3bd29d53653352b49cae382 Package: python-mutagen Source: mutagen Version: 1.38-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 673 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python-mutagen_1.38-1+nd1~nd100+1_all.deb Size: 137992 SHA256: 5d507ed687fc3dc2936565d146928dfa5b5eceb618d50700241ae9008195f63f SHA1: 813325e270a09e2a03e4b99f1284fb821b9a96e1 MD5sum: 6d417d155f18dfafb1490ec71503d26b Description: audio metadata editing library Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. Package: python-mutagen-doc Source: mutagen Version: 1.38-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 989 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Recommends: python-mutagen Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: doc Filename: pool/main/m/mutagen/python-mutagen-doc_1.38-1+nd1~nd100+1_all.deb Size: 123048 SHA256: 28539e9ce72e7577fbeeb318ec6d096aed4204266181a05c093a75f420a5f53e SHA1: f38abae0d0bad5698f758bc7d9901d46cc7cc75a MD5sum: 9bf3a1919101262e90b8d07dcb3ecddb Description: audio metadata editing library - documentation Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package provides documentation for the mutagen package. Package: python-mvpa2 Source: pymvpa2 Version: 2.6.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8605 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.5-1~nd100+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit, python-mock Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.6.5-1~nd100+1_all.deb Size: 5108916 SHA256: 03f632b8d8ac35bf192ccc12ac62f3120c426b3798ac4ee90a5b5454f4c4c140 SHA1: 1e252903da71a630810a942d6c297e3547aa5ee4 MD5sum: dbecea8fb2a28d26a89d924f9debc275 Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.7 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.6.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20439 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.6.5-1~nd100+1_all.deb Size: 4262684 SHA256: 517f77d048b183044d18c325e63e3c0fee3d1a665cd9bbdb082275fe24553ea4 SHA1: 8763400ca579f84e9e6b656329746eb4531e9532 MD5sum: fc687869c1c2dc900d36f70337973f46 Description: documentation and examples for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a HTML documentation (tutorial, FAQ etc.), and example scripts. In addition the PyMVPA tutorial is also provided as IPython notebooks. Package: python-mvpa2-lib Source: pymvpa2 Version: 2.6.5-1~nd100+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 (>= 1:1.14.3), 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~nd100+1_amd64.deb Size: 51672 SHA256: 8e80f54dde747c86d49a7f313f015f49c6e81877333c9476fc63c07a5dacf8f7 SHA1: c74f4cd42a3837ca3cbbeb5d042e2778e315a898 MD5sum: f24d7823b20bfeeded820a0b42283eb6 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: python-mvpa2-lib (= 2.6.5-1~nd100+1) Priority: optional Section: debug Filename: pool/main/p/pymvpa2/python-mvpa2-lib-dbgsym_2.6.5-1~nd100+1_amd64.deb Size: 90848 SHA256: 700504b60ad6f93479221ef96efdafb8f1ceb8f347b7bea6d90e6a62b4735c96 SHA1: d9b7ec3f91fe79662d3254b24adaae814f322c98 MD5sum: ab1fffcf7d3b9c0e92c51795ae552014 Description: debug symbols for python-mvpa2-lib Build-Ids: 9042acc89fc1e514d23d3da0b258eca4171e2e2f b8fff5c8fdb06bcdb17fa893c6e30363df888aca Python-Version: 2.7 Package: python-nibabel Source: nibabel Version: 2.5.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65854 Depends: neurodebian-popularity-contest, python-numpy, python-six (>= 1.3), python2.7:any, python:any (<< 2.8), python:any (>= 2.7~), python-scipy, python-bz2file Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc, python-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.5.1-1~nd100+1_all.deb Size: 2666368 SHA256: d041a3bda9a6805cc42d290eb7a647c88c66ab852acfab351a58fa6f86887a77 SHA1: da4e86cd7f90886565c0627293222003c832dfd7 MD5sum: d14b9e13f295d92e269ba298651979a6 Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.5.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9331 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~nd100+1_all.deb Size: 1503820 SHA256: bc40783a45b76ff7d99fc5381100b7c421658803bcf8bf6de0a38e5f00dffd49 SHA1: 97071e53743cb0a35c6b6c037267bf95e97a21df MD5sum: 3a9d3e3fcdac1051552275552cfd5f78 Description: documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format. Package: python-nipy Source: nipy Version: 0.4.2-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3550 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.2-2~nd100+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.4.2-2~nd100+1_all.deb Size: 782956 SHA256: 06f3a01f3c2353d14406b055bf5b9dc5cdd85d00f2eb896f054a8df269ec0a7b SHA1: 69e3388a5e01dea71e93b045f5c8614c65daedad MD5sum: aaa27cf5f58e048ad1c1b11a9daf3c0d Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.4.2-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9402 Depends: neurodebian-popularity-contest, libjs-mathjax, libjs-sphinxdoc (>= 1.0) Recommends: python3-nipy Homepage: http://neuroimaging.scipy.org Priority: optional Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.2-3~nd100+1_all.deb Size: 1895652 SHA256: af5c908373fb1b0a32a62cd44d5381d493ea8e5175412e926945795397c82c6a SHA1: cc552198c2461c7eead73327ee73b5179079e973 MD5sum: b010b124a487f1c178aa526951837f25 Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-nipy-lib Source: nipy Version: 0.4.2-2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2743 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.14.3), 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~nd100+1_amd64.deb Size: 642664 SHA256: b3a5311740e4cacd19b6a98bbcec5628c57182764905397711145ea41fe0ef67 SHA1: 3d2bc67bba4a21e608c23ae3e9a3f5b3f0a845c8 MD5sum: 1ccf75a7059da8d91cbd95ec0d0d9624 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~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2929 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.14.3), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7), python-nipy-lib (= 0.4.2-2~nd100+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~nd100+1_amd64.deb Size: 713164 SHA256: 8512614cb7bed12d2c659ab68e6c75670c41ab4bb30907aef7fd5d2607d55291 SHA1: b799102a64cedcf0b6cf3037c48dc8473091cbf7 MD5sum: a17bd946907ed43ac3f33f6dd5cc8b4f 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: 0.4.1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1329 Depends: python-nipy-lib-dbg (= 0.4.1-1~nd100+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg-dbgsym_0.4.1-1~nd100+1_amd64.deb Size: 834228 SHA256: 699a17d636f27f246ff0f92b8adb000ec1112266fa6eb47594d09f52ad31d536 SHA1: 8c7aac974e1ca98d3f572e4b96210f1fcfb4d47f MD5sum: d15d90001d2859d2ec4c52a0d5395da0 Description: Debug symbols for python-nipy-lib-dbg Build-Ids: 09ba45fdcd86f08f96796f97dac0b9e287857a64 1b5fcd38768e7c5215929fe19ee5e443f2272b3f 1c610b73af32d90ac2125d7bd0c1f0fbf48510bd 2e84bfbf4d856fc5441c30dee09e935ab7994297 463ed27cd424511494e9c777ab1e83dc3b491324 4be5d6af8f018ae952002735c424dc2e3dca58db 4d2b6640c10a89c8c0f6d31f66fa16016437a0b7 5c64b716c33964f4d449b9e9ccbb6514b02015e6 679019872d069a8bd534ffc43bb4d6fb9b4380c5 8cd6898b978209594897b0c8eb43ec8168ddb134 9c75bc0f0dd6fbf0f8601a0d1c13857eb8a3c26a b8601e3a3c388464032595f2d8fd1a981174cc68 cafec2befcb390d436fe6f65da313754e98360f2 e7ab642246d5829b4641bff0e257bba977fef142 Python-Version: 2.7 Package: python-nipy-lib-dbgsym Source: nipy Version: 0.4.2-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2987 Depends: python-nipy-lib (= 0.4.2-2~nd100+1) Priority: optional Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbgsym_0.4.2-2~nd100+1_amd64.deb Size: 2603604 SHA256: 9d10c7f894e2bcd74027f8dd83fce0bcbf1ae4d750bb9df11dd708475023aed3 SHA1: 0c975c39c92d0ee650ddbf357f6f9973ee60ba6b MD5sum: d8ec30176d9e05e6e829fe88864c0750 Description: debug symbols for python-nipy-lib Build-Ids: 100436c731d715779dae49b25f33bb9bf0c6c816 2972343abba0811c6f6ff6d0c34e8b9ba5725a47 2b3f6d4cbf99d0b93c7a366ce777f7714b8612d5 37d9be2f0f28edad784f1cb34c8da68bef85b176 4bf63e02594062b1ce131c9f70055827f608c844 519dd7d5e13d29ff2e9c3849fce2377590261d16 67bcb3bcd20c559bae99e3ad3783354fc732be5c 6f58039b616125b44e0dceedd9281a513fc9e7fc c5abf30d7fa842f41876304f211673da032b8ea5 d3728938652f56132d651afdb4f2c5f256ad786c db9dcdd8390eb37b02b6adf3666a16359e85ce29 e0deac5ef53973eb5c4f8f45c31c8684ce418a45 fdf1a5b8804ee7b2d5e651564f503cbbc788c4c9 ff925e3fd63b27a6d0c42cacdbb72d8b918088fc Python-Version: 2.7 Package: python-nipype Source: nipype Version: 1.1.9-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10997 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-concurrent.futures, python-configparser, python-dateutil (>= 2.2), python-funcsigs, python-future, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-scipy, python-simplejson, python-traits, python:any (>= 2.6.6-7~), python-traits (>= 4.5.0) | python-traits4 (>= 4.5.0), python-psutil Recommends: ipython, python-pytest, graphviz, python-xvfbwrapper, mayavi2, python-mock, python-pydotplus, python-pydot, python-cfflib Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants, python-pytest-xdist, python-bids Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_1.1.9-1~nd100+1_all.deb Size: 1887744 SHA256: 58ae803e04681579f96fc757c25f5d6f593da5a3aaa2b797f5e7087f9aae60b9 SHA1: 0d72dff6b88184fa6eb3234bc561a41750acfe9a MD5sum: cc4bd31ec71b550fffbb11bb8f4c0017 Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 1.1.9-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39937 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python3-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.1.9-3~nd100+1_all.deb Size: 17095932 SHA256: f62746c8256b57f5999761522a84ced2e6f7fc9b554aadc8e383bce49e2d94dd SHA1: 14f5b6fc2c47174d2d8e6177b187e4508dfaab0c MD5sum: b347668adf93f41ecfbad5ba2a02d8c9 Description: Neuroimaging data analysis pipelines in Python3 -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-nitime-doc Source: nitime Version: 0.8.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4210 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python3-nitime Homepage: https://nipy.org/nitime Priority: optional Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.8.1-2~nd100+1_all.deb Size: 2427432 SHA256: caf896c5450997201f22236c2de720a3a8363e8abe106392b50a94d8ec81c523 SHA1: 3a729d24e1aaa1fd8899e39dd7be73bd5e2fa013 MD5sum: a0ef3319355918fb1d8f545135327e02 Description: timeseries analysis for neuroscience data (nitime) -- documentation Nitime is a Python module for time-series analysis of data from neuroscience experiments. . This package provides the documentation in HTML format. Package: python-numexpr Source: numexpr Version: 2.6.2-1~nd100+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~nd100+1_amd64.deb Size: 143358 SHA256: 203e3fd0408e66e840d654515710b7bfbdb1c38e5c1cfd553bd8a7e58d704047 SHA1: e6e6b174e4bc9cb69beccf254c134f19c8595fb2 MD5sum: fbf0ef8b1a6712e110286f462b075702 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-dbgsym Source: numexpr Version: 2.6.2-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 235 Depends: python-numexpr (= 2.6.2-1~nd100+1) Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbgsym_2.6.2-1~nd100+1_amd64.deb Size: 217418 SHA256: ed25053fd51dc9a0e5535c1c028ea3114d2a5529a23d4350b02e51f29b721b6d SHA1: 7461f89e0c11f9bde45210e97bc87855a918a7eb MD5sum: 1bfdcd26fd4c1526198e7b72e9063c45 Description: Debug symbols for python-numexpr Build-Ids: 5fcd2deeca3d2d50130bd5d47b663a56b5d51537 Package: python-openpyxl Source: openpyxl Version: 2.4.9-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1525 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-et-xmlfile, python-jdcal, python:any (>= 2.6.6-7~), python-lxml (>= 3.3.4) Recommends: python-pytest, python-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_2.4.9-1~nd100+1_all.deb Size: 220668 SHA256: 4e8aa65876033dabd49e049c732e3e664b18b8d6f163320f7042550e9c26f461 SHA1: b44d3c161c94f1c0cd8ac315d93147c9e658d910 MD5sum: 223a3dd20b390d8914073455e858d6ed Description: Python module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-pandas Source: pandas Version: 0.23.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12456 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-dateutil, python-numpy (>= 1:1.7~), python-tz, python:any (>= 2.6.6-7~), python-pandas-lib (>= 0.23.3-1~nd100+1), python-pkg-resources, python-six Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib, python-lxml Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.23.3-1~nd100+1_all.deb Size: 1743388 SHA256: 4b06f149fbd762ef80c8ed932e969e41b9bf849a3b6b2555137d8d0e211b8c05 SHA1: 3ee538d915b2b74b088c40f46e718987202dc4fd MD5sum: cbcccc5531437eb278a09f7603185bd0 Description: data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. Package: python-pandas-doc Source: pandas Version: 0.23.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Suggests: python-pandas Homepage: https://pandas.pydata.org/ Priority: optional Section: doc Filename: pool/main/p/pandas/python-pandas-doc_0.23.3-1~nd100+1_all.deb Size: 18248 SHA256: 178c60b4de0cd21a2ebb2f34e1d143ada74f78922375770c12ed41fa0b750543 SHA1: f0fe6a1c9b366e14727b515bfdc234770bcd1d63 MD5sum: cd317fd2991b41cf38ca134da16a0f14 Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-pandas-lib Source: pandas Version: 0.23.3-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15889 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7) Provides: python2.7-pandas-lib Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.23.3-1~nd100+1_amd64.deb Size: 3389936 SHA256: e85c286e5bfdb34447813935377fc7640287bf35c392683d3e16ebe9a57328a3 SHA1: 31f6aadb8307e224558885bc2f8e69206e92b906 MD5sum: 55e1786fbe445f13ce55987ff359d81f 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: 0.23.3-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14954 Depends: python-pandas-lib (= 0.23.3-1~nd100+1) Priority: optional Section: debug Filename: pool/main/p/pandas/python-pandas-lib-dbgsym_0.23.3-1~nd100+1_amd64.deb Size: 13195240 SHA256: b3957573319c42c48782a0266b5e612b57173c92d0d14be16e635498e07f65bb SHA1: 85dc4ed8e89b067a1d777e1146340bece84b8802 MD5sum: 169eb57a1e9006a72e94a6c4678a56c3 Description: debug symbols for python-pandas-lib Build-Ids: 06b6f31e4878be63b95e3679859823d5c9152441 12b44e1d5ab7868146912a3e460b285304df3c1c 1722487541b4e4f3087513d355c61219c2d5d4c5 1cde2dccac42ab52c267c1c6494252d15c3e675b 1df51d540d2d04ab16861b25d50cf17b915e3e2f 1e024053e0a4d42d72e899213b78edbc9b0277ce 20f9e51e831eb8af8a331b4638d22eaa4c2250f2 26e682e88a98bdf8d1a2e7ef4a7c42ccff00bf4c 2a48f32f1fa7d06b1502c8bc12f8d548ffc6e8e4 31eb8923872e46a471fa8df846bbad810b573054 367140102565d31a42041afe91c13693f2f2eb99 3904ea8af9b696b224912a7e100ca6776b3c66a6 3a61d48ca089c873ab828bb83234e1ffe053a652 44ee56ae53f2841da0327e57b21437a39a9d97b8 4607bd059ad99ce6173caac40e875e866bc1c9b5 46633c95457a9576a8860f9ce569c601cbe2021a 4b8f289a472e977a3e930fb9798c6679a79f6479 4e04c00152a0f7efa97c9994bf2919019a1710e0 5c8644a33e8e8e0ed9c49f7026e47961719d8ed5 605e8ea55095a23c16c551367789270136f32a94 6242b38c66ea787ae371c5bddafaf44f5cd14c65 65db084a3bee118e458c89f84e76a6d15bbbe22b 6c3813283a50732267e40f22db4dda2706c9479e 6c7a09a6d0049cc49b81dc1c5690e9a2ae85d1e0 6c9d9676cb7b573d4d25e6c62f1564d6a073903e 76845e51b862fc624472e64d451c5bc977335178 791d0c150e278040b3d72e37c6d9f03a1fdbcb05 87fd1a3c9c30e93558efd7a55abb5b508c0d49c0 983064595bb5165ec6f4d0696adc3887607430c7 aa1be646db3471fd441f7131f1508223a9f062d6 b33344a299288e070da1ff2aaaf0924b5b671db2 b640013c47a637a8d2e808fbfaebf8a3fd88bd1a bde9680e686bf4cb33d47f39b0ca00024997388f be2cad04a6997e085497d5910c0d35cba620d0fa c60e9d6e75d622f786e37f2830962f9c238ed1d3 d4c96d8351bea64276acedeb31076ad14994b917 d6a2134bee918249503c162412dc0e37f115ec6c da204fca40b473bd7de5696b110820ea01d709a2 db3c2c3ab9464f8ed898f369bf10d53fcc92b5f4 ecad9e7582bed4359494969a16ac631d43732fbe f6bd83e7ac85e908d119d388e581c01a94a13c70 Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 784 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-six, python:any (>= 2.6.6-7~) Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.5.0+git13-g54dcf7b-1~nd100+1_all.deb Size: 171776 SHA256: b16aef8c82c725cccd3ddde017726fe6869b3568f774b38c41559224cb42b12d SHA1: 5da2a10075d7ad7eb84e7754e4c9e34f72731345 MD5sum: 6841dbbef316c5b648d65a1adb45a540 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 2 version. Package: python-patsy-doc Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1203 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-patsy Homepage: http://github.com/pydata/patsy Priority: optional Section: doc Filename: pool/main/p/patsy/python-patsy-doc_0.5.0+git13-g54dcf7b-1~nd100+1_all.deb Size: 347664 SHA256: e85941ea1a5b8eb309233c453f62601c3a57b376463afeecef100d50045647cc SHA1: 394271e3608accec36af4cb19da6101622c16153 MD5sum: 527c7ce8e3afb2577c4f304d66c71d42 Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pprocess Source: pprocess Version: 0.5-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-pprocess Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-2~nd100+1_all.deb Size: 83128 SHA256: 462bc0c42c190f393fcc893398e8557826d40d475f82b632d744412602c5dbf2 SHA1: ed5b1752b074b1b07bf917acfc27718cf8104d55 MD5sum: 72ad95abbc68b1819379b17a9b0b912f Description: elementary parallel programming for Python The pprocess module provides elementary support for parallel programming in Python using a fork-based process creation model in conjunction with a channel-based communications model implemented using socketpair and poll. On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Package: python-pydicom Source: pydicom Version: 1.2.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14179 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Recommends: python-numpy, python-pil Suggests: python-matplotlib, python-gdcm Breaks: python-dicom (<< 1~) Replaces: python-dicom (<< 1~) Provides: python-dicom Homepage: https://pydicom.github.io Priority: optional Section: python Filename: pool/main/p/pydicom/python-pydicom_1.2.1-1~nd100+1_all.deb Size: 4397044 SHA256: 0dcb1695f80ec993db52fccdbf1adf9cc1e5a18f212b9bd2381ce1258d695170 SHA1: bb925e1d610b01c6eab66b11ad17dd5a4f1e2d8d MD5sum: 560c1793291bdb01922b50a77da0aca7 Description: DICOM medical file reading and writing (Python 2) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package installs the module for Python 2. Package: python-pydicom-doc Source: pydicom Version: 1.2.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2817 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.2+dfsg) Breaks: python-dicom-doc (<< 1~) Replaces: python-dicom-doc (<< 1~) Provides: python-dicom-doc Homepage: https://pydicom.github.io Priority: optional Section: doc Filename: pool/main/p/pydicom/python-pydicom-doc_1.2.1-1~nd100+1_all.deb Size: 347136 SHA256: aed39e84d2febb834b8c367ae3d1991c65da140336a82de6a8447efa5ddc37ea SHA1: f92691a20421e4531a1001a87a93d8acc0dc7944 MD5sum: 17ed05088b06597b79407c207a14d783 Description: DICOM medical file reading and writing (documentation) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package contains the documentation. Package: python-pydot Source: pydot Version: 1.2.3-1.1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, python-pyparsing (>= 2.0.1+dfsg1-1), python:any (<< 2.8), python:any (>= 2.7.5-5~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python-pydot_1.2.3-1.1~nd100+1_all.deb Size: 22024 SHA256: 20896d1e86fe4837efe742940f2af8bd6612832076147ad1cec3cb11290c2f99 SHA1: 5fb5ec7e28e3e6094bff136669ad2b16041d7330 MD5sum: 369bd2761538ac467b54af7f0857e91d Description: Python interface to Graphviz's dot pydot allows one to easily create both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported. . Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi. Package: python-pyglet Source: pyglet Version: 1.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7027 Depends: neurodebian-popularity-contest, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libgtk2.0-0, python-ctypes | python (>= 2.5), python-future, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: libasound2 | libopenal1 Provides: python2.7-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.3.0-1~nd100+1_all.deb Size: 1422372 SHA256: 5f28dba79e6e13a18e26151271e3577ca94dd273445ae756cdf5008686526442 SHA1: 9453747756db7cfa6ce437416b5ee55941ac8bc3 MD5sum: 8a7e9e456ec90c72951ee9ac9c8c58c2 Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-pynwb Source: pynwb Version: 0.5.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 687 Depends: neurodebian-popularity-contest, python-dateutil, python-h5py, python-numpy, python-pandas, python-requests, python-ruamel.yaml, python-six, python:any (<< 2.8), python:any (>= 2.7~) Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python-pynwb_0.5.1-1~nd100+1_all.deb Size: 98084 SHA256: 11cf0f68c7a31e909fc1b8ee460a34670143356d7de5114acf83a291cfec9b5f SHA1: 149363498e7d867f06ad3f213e7888b5388f37af MD5sum: 66762c28e7f4c13a986a2eb0141b825c Description: Python library for working with Neurodata in the NWB format PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format. . Neurodata Without Borders: Neurophysiology (NWB:N) is a project to develop a unified data format for cellular-based neurophysiology data, focused on the dynamics of groups of neurons measured under a large range of experimental conditions. Package: python-pyperclip Version: 1.6.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), xclip | xsel | python-gi | python-qt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python-pyperclip_1.6.0-2~nd100+1_all.deb Size: 9516 SHA256: 41713a215e6b3f3b690ef4d99029c49b21c24f541fdc399d9d8ab886dc8a0c0d SHA1: dbaded1561784edc15eecac0348c0fe43067934f MD5sum: 7f01308b158183e203937d8a4326ff3f Description: Cross-platform clipboard module for Python This module is a cross-platform Python module for copy and paste clipboard functions. . It currently only handles plaintext. Package: python-rpaths-doc Source: python-rpaths Version: 0.13-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 121 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.6.4-2) Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: doc Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd100+1_all.deb Size: 23166 SHA256: 5f44599c5525edf4f8c4ec9cdb92f51f7c65846cbc63bb406fa0e1021f030473 SHA1: 30d99593dc7702a3f87c5afad5dc5755ba9d8b39 MD5sum: 9528073147047bf0c977c7814bbbc16d Description: documentation for rpaths rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the documentation. Package: python-scikits-learn Source: scikit-learn Version: 0.19.1-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.19.1-3~nd100+1_all.deb Size: 85632 SHA256: 2ff7657b05849a6faa75c6c81d031028628a574d51d33f819dd17ae8ce4cfcaf SHA1: 942f75c086d6b4ebcfecae2da7ba6fee3f7d3f71 MD5sum: 42cfb3bd06d2cde3ca65e8ab6470a492 Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14656 SHA256: 8636da47795f42e3b91a7cc2339a7d317bd8692162236a4d8097ae442389c2ff SHA1: 0970dc3595e632b0368ab8cfda123d8ec6605762 MD5sum: bb289d18a9932030a9ef09ae64f09ab0 Description: Python 2 and 3 compatibility library (Python 2 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 2 module path. It is complemented by python3-six and pypy-six. Package: python-skimage Source: skimage Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26057 Depends: neurodebian-popularity-contest, python-matplotlib (>= 1.3.1), python-networkx (>= 1.8), python-numpy, python-pil, python-scipy, python-six (>= 1.10.0), python-skimage-lib (>= 0.14.0-1~nd100+1), python (<< 2.8), python (>= 2.7), python-cloudpickle, python-pywt, python:any (>= 2.6.6-7~) Recommends: python-pytest, python-qt4 Suggests: python-opencv, python-skimage-doc Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage_0.14.0-1~nd100+1_all.deb Size: 19922880 SHA256: b14eb13c664cf2352345746c7bcb9ae3b39e3d2c20c79f6537772e8541d18978 SHA1: cfda7992ebdc8588e9142615b21dcf6441e53dbd MD5sum: d8cbe8c1d6102755eb291937e726988d Description: Python modules for image processing scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package provides the Python 2 module. Package: python-skimage-doc Source: skimage Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1682 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Suggests: python-skimage Multi-Arch: foreign Homepage: http://scikit-image.org Priority: optional Section: doc Filename: pool/main/s/skimage/python-skimage-doc_0.14.0-1~nd100+1_all.deb Size: 787384 SHA256: d420aeea97505c5ea519de51b2d75c869628e80a287b84fd5b2e00713643ace8 SHA1: ac0072e071328ad2b78c741ce3954711951e01e1 MD5sum: c75f5676b0f6f9086a9d7523c8dca9a0 Description: Documentation and examples for scikit-image scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package contains documentation and example scripts for python-skimage. Package: python-skimage-lib Source: skimage Version: 0.14.0-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11229 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Recommends: python-skimage Provides: python2.7-skimage-lib Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage-lib_0.14.0-1~nd100+1_amd64.deb Size: 1779560 SHA256: 30456970c781ad8d39e5e65005f3a53444f4a652a0d2881e55ddb710c049db6a SHA1: 29d510c51a19a99e8a9c138d85a414180745134d MD5sum: 646b3b2268766129cf6014f09ed563d9 Description: Optimized low-level algorithms for scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . This package provides the Python 2 libraries. Package: python-skimage-lib-dbgsym Source: skimage Version: 0.14.0-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10211 Depends: python-skimage-lib (= 0.14.0-1~nd100+1) Priority: optional Section: debug Filename: pool/main/s/skimage/python-skimage-lib-dbgsym_0.14.0-1~nd100+1_amd64.deb Size: 8693112 SHA256: e6d28757d29eece0b48bdaddb18fa6e09e7ee87a9cc735ffbf1f62217839134b SHA1: 8929f1d9f6594d4374585afdf094400528536838 MD5sum: 1279dcd47ffe3b14c386dca0ee5e78a0 Description: debug symbols for python-skimage-lib Build-Ids: 0de6a1e731052d92ad9871220362a5bf69bcb1cd 154c59ba1efc9186787f0dcbfdf1ad8c8b52dcde 18b42dacd89ca74d133975bc024031a7eb40e235 199456ffcbabaab0da0d624273aedd5e56082eba 1bbae087d747ae744672148dae434a44919c085d 1be0a8705913372a21f4ca59597d94c40b8fcd72 2139309b8187979174011c0bff21ca92f840da25 299452e5d5ffefb67559e66fef7717c3b04de9dd 29c7049845ccb9196490d4850b827a9731645573 2ba99c9bc9bcdd00e6183fea0cc989a0c5f83a94 2bc6e66cee0745a85fb9c945d80a1ac1551ed281 337a44b884f3dbc784f99afd6b88c56cc3e10936 50a98d12f827719055a797d4f2f831f2faec6c15 553552b93d4f96b7feb579168cf349037a7ece93 56a169a897c88c7272c2d4845b6dc92c74f4031d 5bc1251aace4ce967756b2e52cb7003b2ed58020 5bc6b1ab1f53cba788e076cda6475f06606c4117 5d754665d16145d05204b80647a032332a574226 6055c01a3a387cfce1a64ff6ee3bb16fc1c72375 696c52eb6026ae89a6c78733022540e1824c411c 6a008e5380c681218b8df2a87d6a672a7e78bfd7 707844300f728845b6fa733bbdfd0fa2f512de3a 728c9e5227e2acf6a05b5ce75f74e4e9b3476e3c 84d89b8c07b5b8310bd8ef8403a91f40e23f8333 8afd76c375e54c4cc7ba19543e2a0337b6592291 91b19e1920516d591b858abb97ef6354caa40bd3 974a220091816083cabff6046ec9d1b4a04d12c9 98d7a4e9e70fe55c80a95da9ff674e54dd085bb8 9f01949ecd4d094f7bd6b88f75d1df48997999e5 a4e39794b7686078879e30e2d2710207f25eeb9e ba2b8f6427cbee36a4d76bcf65769cf685131176 baa5699d19580bf8b1d2ae8d2ca36b1e1e830b49 c41eda7ea4153301ef8e20e1b6377d02ee899af6 c81a43fddfea3c577035fad0167705d6e5339ea7 c893130c36278d4ff5f374853597fbf5657623cc cdb26a107cd936ba4e46986ffac77eac5cd8b338 d1d7c2132d6fa4a9224e2afcf7f61f8b0e4964a0 d5a7db898f28a38b85e1a046ae13c4de2ec16786 dfc8f0cdcaf9cc073e3fe22a044971571ddbeee2 e0661168a439a52142079dcd8d5186024a5e9274 e91a0827a743a8b20246d6cb5e30ed14aee044f6 ea57c4dc24b3af8e45ffe128b6d643b1672ba338 ed6a4210196e0b1724da0a3afea73cec76fedf19 f3eb455556c67071952094546d9e979e7cdb3e4b f5f758e08619ad82fcd9213919018672d90b7467 fabe9c61561ea55bc19dfb1221b71007a05d4f44 fd681d52bdb6b2dfd26780bf9c1c426eba50f79a Package: python-sklearn Source: scikit-learn Version: 0.20.0+dfsg-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7540 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~), python-numpy, python-scipy, python-sklearn-lib (>= 0.20.0+dfsg-2~nd100+1), python-joblib (>= 0.9.2) Recommends: python-nose, python-pytest, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.20.0+dfsg-2~nd100+1_all.deb Size: 1517648 SHA256: 4e993aad6af2fc00c1176f7656d48e7c96354348b7e21d2337f148755cd7d7d7 SHA1: 7cb294f523fc5b0f90ae30322308248e7cea4438 MD5sum: 5aedf3922a21dcb590f7c4c898a0eadf Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.22.2.post1+dfsg-5~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1172 Depends: neurodebian-popularity-contest, libjs-bootstrap, libjs-mathjax Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.22.2.post1+dfsg-5~nd100+1_all.deb Size: 235352 SHA256: c857a97bc4831c97a324a9109df0861ef6fe81194ed1d65963af29c13d789047 SHA1: c249b680e5e7a8f027335474ae7c9707ad870e8b MD5sum: 5b6542e0597a92526ddf3056cbfceb57 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-sklearn-lib Source: scikit-learn Version: 0.20.0+dfsg-2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7452 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.14.3), 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_0.20.0+dfsg-2~nd100+1_amd64.deb Size: 1598912 SHA256: 7958164e04ee29827428dd07a26c3fa2efe07dbd75702a7d525dbe5107207ce4 SHA1: e86e0484ca722f43d0e7b6dae95c13ac8cd881f4 MD5sum: c8d8ac2c4d102bb7dccae91f4ef65ed3 Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. Package: python-sklearn-lib-dbgsym Source: scikit-learn Version: 0.20.0+dfsg-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9205 Depends: python-sklearn-lib (= 0.20.0+dfsg-2~nd100+1) Priority: optional Section: debug Filename: pool/main/s/scikit-learn/python-sklearn-lib-dbgsym_0.20.0+dfsg-2~nd100+1_amd64.deb Size: 8194800 SHA256: a8b9c35a8b74395be5517ed049eb99d7d1903c41c5074a0c107c52300d6f8fd6 SHA1: 8ae4711681548497f2389fa997f3ba2e3cd3abd9 MD5sum: de0e541a96cc5ff874343a3cacbc830a Description: debug symbols for python-sklearn-lib Build-Ids: 02c2159b372551d0cf3553e13bcfdc37317ef98b 03eed1eedb8dc0eedf3eed75919f4994da314d35 048855ae9de4a9bc8349a1a3892413433bc63dd1 0566073c1b6d7de73fa835a47fa22b72c95ab464 1252eade4a394b8a67cf3f045941cfa6f611248d 145cfbb3afc6cfb7879f4bbd60777b5b619d5cd7 174b2f6d4ba76571ba42f9c164cd6940e839b9fa 1d0916ef6c1983d039b3a0e517b59e9b78c03de8 1d90cb4478fe559ac101e1c067d4598b5630b530 1f45f4fb46ca9979e4989b3d2312182bcbdc6898 284ded0665aaeedf0ec4d526bf5fa4ee57aa92c3 2c48e0586ae3b907229c44c49271f4f02e93981a 2d0a91e9a1251eb073c43c20487e5a84600d4ef0 30b9add5cce1503efeec1dde3a1cfa88163c7e9f 35c4b48fae03e008adf81f48a7249f99189c182b 4006966e8949606ae49d8208b811d742635715bb 5093f6dadf6f60aaa2a535b3998859329a44beb5 511e0229009528d645890274f9792c29ffdc7999 55002326902ea0fa9bcb9a30a60c9b670dfbe452 5736650b14eccd34115b3a4d7512bb3c9b9cbce6 5d757b6a85d5314755e1787ccedfbc691039cec4 6614dedc8d93d0a2ee353a99faabef1b5d02e4cb 7153920c6fd75787e44f7a2e1880f6e6f3ded113 72c4e5e5e9fa2a5f7b134e0551053d2d40acb8b1 7a702bcc509532c70851e0766d1cb7bf0475405b 7a8a5de7e62c266a11b0383ab31dd84db33813af 8459f9eb116264eda29a89dc4bcc185e4facc897 96506d87eda757844340a9269e367248c22911c7 98efa9227d3e93fb70ff2df52ecc26ff7923ce88 a47d3180acafe5f756a9c210ca19345174a9208a a8a54a6da0a20bcb9e6575a891a3404d8b64e09a ad5a545678378a47b26a94c1c2ca0e8f1e57963c af97ef5d754a1884cdfa39b80301101b63708306 c1352b9977e7fa7d9baeaa2c9a4d993fa12959fe c8472f56c944e57a357ef547e81fc34dbbf0fdf3 db0f57717a2f30b5bfe66f61a8012eff8c6a0473 ee8fd20edbca9dca51abd63f7ecd4da03bd72fd8 ef95bf7cd69dda77f387fcbd69bf509756935404 f9bdb7f46105feff60b881e3370c78bfb0d9f878 ff14e782fb0a7a654114c1dab59093af7d289b49 Package: python-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~), python-matplotlib, python-pil, python-sphinx Suggests: python-sphinx-gallery-doc, mayavi2, python-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery_0.2.0-1~nd100+1_all.deb Size: 71864 SHA256: b572529179391eefccedb43b3f4501372f080747008d76d2951b2923366ef914 SHA1: 52176b07e527041bf8c3cf5e8ea2e52ad630d9a1 MD5sum: 597986ae7527b471ca8bd7a3dc7f7333 Description: extension that builds an HTML gallery of examples from Python scripts * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains the Python 2 version of sphinx-gallery. Package: python-sphinx-gallery-doc Source: sphinx-gallery Version: 0.2.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2610 Depends: neurodebian-popularity-contest Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: doc Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery-doc_0.2.0-1~nd100+1_all.deb Size: 1343440 SHA256: a400af74e14178272a88500ce99f288de2886024fc25751f6e4f7ff5b9b2953c SHA1: 8c5ff3f68f2fc87bb6e52c1137628430938b930d MD5sum: 139b6405850e4c33d1f26d4f59f07846 Description: extension that builds an HTML gallery of examples from Python scripts (Doc) * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains documentation for sphinx-gallery. Package: python-statsmodels Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23190 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7~), python-scipy, python-statsmodels-lib (>= 0.9.0-2~nd100+1), python-patsy, python-pandas, libjs-mathjax Recommends: python-matplotlib, python-joblib, python-colorama, python-cvxopt Suggests: python-statsmodels-doc Breaks: python-scikits-statsmodels Replaces: python-scikits-statsmodels Provides: python2.7-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python-statsmodels_0.9.0-2~nd100+1_all.deb Size: 6225616 SHA256: 2e84fe23d6e9b64e20964e04685c623e9c3840971641b680018b750266675c6d SHA1: b526357dbc7fdf45ee010776510209fe28f85155 MD5sum: 3c4e14942235a71df4508ec63ca5fe9e Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python-statsmodels-doc Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 79001 Depends: neurodebian-popularity-contest, libjs-requirejs, libjs-sphinxdoc (>= 1.0) Recommends: libjs-mathjax Suggests: python-statsmodels, python3-doc, python-numpy-doc, python-patsy-doc, python-pandas-doc, python-scipy-doc Breaks: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Replaces: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: doc Filename: pool/main/s/statsmodels/python-statsmodels-doc_0.9.0-2~nd100+1_all.deb Size: 11563124 SHA256: 125e06130c32c5133e8bbbd6b19dd0484e313aa46f8c7efc7050cc8c92475366 SHA1: 78293d28438d0af475af79b4f40df7f933532aa7 MD5sum: ae6a35228c5cac9c254c40a464713252 Description: documentation and examples for statsmodels Statsmodels Python modules are providing classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. . This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7060 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.27) Breaks: python-scikits-statsmodels Replaces: python-scikits-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python-statsmodels-lib_0.9.0-2~nd100+1_amd64.deb Size: 1236288 SHA256: 6f397c2aa4ea72dbd58ca650fc938483ff1fd85427fd0942976ba2e710ad626b SHA1: 79982aa72e288c34b68da5b368404b8ae9df4c52 MD5sum: a74fb4be36dbe0ab258bccaec39871af Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-statsmodels-lib-dbgsym Source: statsmodels Version: 0.9.0-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6769 Depends: python-statsmodels-lib (= 0.9.0-2~nd100+1) Priority: optional Section: debug Filename: pool/main/s/statsmodels/python-statsmodels-lib-dbgsym_0.9.0-2~nd100+1_amd64.deb Size: 5888296 SHA256: 9012616badde8245bf08d0d350f010c05fd050d23ee1d9ea1fdcc06bd7f66ba5 SHA1: 8b092e0ac54b57efc4d643ce3784fd8fa430ec6a MD5sum: 3dab2133517aa6a355dc20029f71ff13 Description: debug symbols for python-statsmodels-lib Build-Ids: 08e9f1dfc38f1633a971a3e462432af6ac6c7d33 22a325ba3e55fe3f265c1366b7899dac99e93784 40f56c7f693ddbb099e399f790dc382795965ff5 4b678b6230bf3b7b4b30f7277ad9554685286655 6068c798298ef236ceb5bc0a818e8dce91d84b27 68072e3c68c85edc8d4408eb4f0bfe7cfea8e407 6c71f0cc6ac71a44ec27e35c50cd0eb4bffe6c46 6df274726d1e42f4ebd991ebe53e0d6cf97d5a0d 6dff2fc84c9893f026ba8098c7bac7986c511c7d 73ee35911f94ab444b68bc03073322c47639decf 7c55f682444a0dfee7cf8714a64a4ce12bef4f54 85538a85dad6ba24a48f65527f8eb5051430302e a9dfacb44dc1157d3b2fb2022fb95bb6dda335a8 b4b5a68104b2248a2cdc5e922db7245ff8b9e526 b6cb9839d8a617a3a638b6ccae90e6a0472da7c8 d523c8672a60f693be13686ab9be55e2b06b83eb e7a5f0520a14d48a4389559cfcba1f8f793b08ab fb9a50a9c818e6fe3efb35099e9dccf2c25d55a1 Package: python-stfio Source: stimfit Version: 0.15.8-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1457 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.14.3), python-numpy-abi9, python2.7, python:any (<< 2.8), python:any (>= 2.7.5-5~), libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod3 (>= 1:4.5.2), 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~nd100+1_amd64.deb Size: 489404 SHA256: 3b8b69a48cf0f87f6d647afde3293071ed58b3101fd0d00db24584eaf33128d4 SHA1: b6066993759e4a0191624ca9e98a6099370df5aa MD5sum: f5c76d3d4e5da88f9e7db04c2c7e70f8 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-sympy Source: sympy Version: 1.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26373 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~), python-mpmath Recommends: python-pil, python-ctypes, ipython, python-numpy, python-pyglet, python-gmpy Suggests: texlive-fonts-extra, dvipng, python-sympy-doc Enhances: isympy Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/python-sympy_1.3-1~nd100+1_all.deb Size: 3499996 SHA256: 47f60c144213d3aea7b9672bee6750ae6c9ff68c6b4123e22f796941ce0dd28e SHA1: f02a721100d17fa26f3dd39e1e185da7d84ea689 MD5sum: 05ebd36511a4992702ecf1ab616c6823 Description: Computer Algebra System (CAS) in Python SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. Package: python-sympy-doc Source: sympy Version: 1.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59105 Depends: neurodebian-popularity-contest Suggests: python-sympy Homepage: http://sympy.org/ Priority: optional Section: doc Filename: pool/main/s/sympy/python-sympy-doc_1.3-1~nd100+1_all.deb Size: 7252684 SHA256: b62575b3a1c3abe77a7efa25b58d96fc29ab1ecd2229c33c181e6416818ea777 SHA1: a168440d60f1afed01295ef5b16df4d65f8d7cc2 MD5sum: 7010ff3f97ae98085d68a05f0ff7ca31 Description: Computer Algebra System (CAS) in Python - Documentation SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains the documentation for sympy Python module. Package: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python-whoosh_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 290690 SHA256: 5cc2d7491e8ab52563aa8a32cdd3a223b78899713b74fbce565c022bba475819 SHA1: 745ce72af3b29abb3e44f83ee80a8fe450908bd9 MD5sum: a4a92bdf70ca01e924e0381d347635b4 Description: pure-Python full-text indexing, search, and spell checking library (Python 2) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python2 library Package: python-whoosh-doc Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2213 Pre-Depends: dpkg (>= 1.17.14) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Replaces: python-whoosh (<< 2.1.0) Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: extra Section: doc Filename: pool/main/p/python-whoosh/python-whoosh-doc_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 241300 SHA256: c28cc15134ac59dfd4c7384e30f72d97f7b263f0e27d7074afb29d953e785352 SHA1: 23d3044711e4074d5e1be14cf7b4cf5d644c2b2e MD5sum: 5d4ab18c7fe2b916a8aea674872b4224 Description: full-text indexing, search, and spell checking library (doc) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the library documentation for python-whoosh. Package: python-wrapt Version: 1.9.0-4~nd0~nd100+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~nd100+1_amd64.deb Size: 32202 SHA256: 235c5d970b12dd24221dbc07df8a0e5116e5e8219e3ea98f0bff3f921c5bd901 SHA1: 3e02558b62f593981516303008cac2a26ed67212 MD5sum: 371c68e94bc17fe51621111131203416 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: python-wrapt (= 1.9.0-4~nd0~nd100+1) Priority: extra Section: debug Filename: pool/main/p/python-wrapt/python-wrapt-dbgsym_1.9.0-4~nd0~nd100+1_amd64.deb Size: 28714 SHA256: 70a947e5356948022547cf5beafc20792f998af516ed410d5157ab8982274ed7 SHA1: 1f936248deb51361dca8c0691986bfb2fb895164 MD5sum: f38b94e2db70c3413a09d38fd01ef6a3 Description: Debug symbols for python-wrapt Build-Ids: 5ca5dce9c1b260c25da045d11c4b935b9eac6c53 Package: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 465 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: doc Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd100+1_all.deb Size: 54096 SHA256: 10822366a5f3db22842bdf7d8afed9ea1d652808e55feab9edbfb6789a577e58 SHA1: 331cbe7088e3930df7e83f8fbed6b4240fbb4d34 MD5sum: 6ce653342ac130d84062d36d999bef4e Description: decorators, wrappers and monkey patching. - doc The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the documentation. Package: python-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 448 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python-xlwt_1.3.0-2~nd0~nd100+1_all.deb Size: 86196 SHA256: af3939ef704bdb11b66c158c06a358db171d2e3f34857d2bda2210706bccb792 SHA1: ca058459912f46895218da7442d9658737349176 MD5sum: 326ede8b01e2b78d981b723617236853 Description: module for writing Microsoft Excel spreadsheet files - Python 2.7 This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the Python 2.7 module. Package: python-xlwt-doc Source: xlwt Version: 1.3.0-2~nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 252 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Breaks: python-xlwt (<< 1.3.0) Replaces: python-xlwt (<< 1.3.0) Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: doc Filename: pool/main/x/xlwt/python-xlwt-doc_1.3.0-2~nd0~nd100+1_all.deb Size: 55360 SHA256: d4a7fbc9443dafb847ea77d47766a541fcc994d9a9eea3fee8199ecf6099f17c SHA1: f2161d05680297afe8acb21428834b9b85f50492 MD5sum: 4acf276cc8acdba2a61a08941a3bceaa Description: module for writing Microsoft Excel spreadsheet files - doc This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the documentation. Package: python3-boto Source: python-boto Version: 2.44.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python3-requests, python3:any (>= 3.3.2-2~), python3-six Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python3-boto_2.44.0-1~nd100+1_all.deb Size: 739848 SHA256: 9268d6d9278fad94841f73d2727644f8177924a6e880c21b164f6ca57d74581f SHA1: f9635a14f7e4b578683a9a3e7b749c711383a87f MD5sum: ee17cd0fc3cc23de0060c05351cf32b8 Description: Python interface to Amazon's Web Services - Python 3.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 3.x module. Package: python3-bz2file Source: python-bz2file Version: 0.98-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python3:any (>= 3.2~) Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python3-bz2file_0.98-1~nd100+1_all.deb Size: 8008 SHA256: 5625c9b608636a96be3a11ec702a862953e227633175b10e323a59adcfc42dfe SHA1: 971a9248e867b5dc436ef6f183b8f6038a7bf584 MD5sum: 3495fdeb2e20e1e2a6748ae04580e675 Description: Python3 library for reading and writing bzip2-compressed files Bz2file is a Python library for reading and writing bzip2-compressed files. . It contains a drop-in replacement for the file interface in the standard library's bz2 module, including features from the latest development version of CPython that are not available in older releases. . Bz2file for Python3. Package: python3-chardet Source: chardet Version: 3.0.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python3-chardet_3.0.4-1~nd100+1_all.deb Size: 80348 SHA256: 522a3aeb3a9f897846100a28e413315e8c3333ae5562f943f4866a85d16475bf SHA1: 9f0472dc9464a85946637b60282774c655504278 MD5sum: 8ee24e5f20283c2e1149406753ee49bb Description: universal character encoding detector for Python3 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. . This package contains the Python 3 version of the library. Package: python3-datalad Source: datalad Version: 0.12.6-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4981 Depends: neurodebian-popularity-contest, git-annex (>= 7.20190503~) | git-annex-standalone (>= 7.20190503~), patool, p7zip-full, python3-appdirs, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-distro, python3-fasteners, python3-git (>= 2.1.12~), python3-gitlab, python3-humanize, python3-iso8601, python3-keyrings.alt | python3-keyring (<= 8), python3-secretstorage, python3-keyring, python3-mock, python3-msgpack, python3-pil, python3-requests, python3-simplejson, python3-six, python3-tqdm, python3-wrapt, python3-boto, python3-chardet, python3:any Recommends: 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_0.12.6-1~nd100+1_all.deb Size: 1034688 SHA256: 362d43f4f90476e0891528eabd3618ad8b564e4f08cabb4254c2cfaaf9b56b51 SHA1: 114c16821bcb5ae2e7b8b875f200d0b2e4d9e7cc MD5sum: cbf855a86d3c43d5f6df5da849d513e2 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-dcmstack Source: dcmstack Version: 0.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 521 Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3-pydicom, python3:any, libjs-sphinxdoc (>= 1.0) Conflicts: python-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python3-dcmstack_0.8-1~nd100+1_all.deb Size: 79008 SHA256: 8ead58e7ea4ea3ef946878abce9f32f75046e1be59c6828de1ecceb1de7f7915 SHA1: 2b738e51f295b8d67997a14643a1deaf43aa3b72 MD5sum: 48e87800bf49ee007f312ced7cb073d2 Description: DICOM to NIfTI conversion - python3 package DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python3 package. Package: python3-deprecation Source: python-deprecation Version: 1.0.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python3-deprecation_1.0.1-1~nd100+1_all.deb Size: 8596 SHA256: 38f3c2612821fcdacb00c8cc3f989eae7de795ec0fdb1da37852d63f42a53165 SHA1: 9a0de8682c76adb53d793344c10f5fd2097fb82f MD5sum: 8f6d58401d74dcb28e2e4ff103a7c2a7 Description: Library to handle automated deprecations - Python 3.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 3.x module. Package: python3-dicom Source: pydicom Version: 1.2.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python3-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python3-dicom_1.2.1-1~nd100+1_all.deb Size: 4896 SHA256: 67f234ea6fb20894e5be1053ce981379addde8b0fcd3a9e100bf583445fdb653 SHA1: d59ad68ee545639807363fba1bdebeb17ac82ab6 MD5sum: f13069137bac47e13e48b2805ebe99b8 Description: transitional package for python3-pydicom This is a transitional package. It can safely be removed. Package: python3-diskcache Source: diskcache Version: 4.0.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 209 Depends: neurodebian-popularity-contest, python3:any Homepage: http://www.grantjenks.com/docs/diskcache/ Priority: optional Section: python Filename: pool/main/d/diskcache/python3-diskcache_4.0.0-1~nd100+1_all.deb Size: 33656 SHA256: 5d83c199571073de5ff74e34d3ca5ba91d8b3c1ff8076807029d928914ad32e5 SHA1: 901c8316a44e98b58312416228ee177386cef7db MD5sum: 5fa4286eb0d531b50cfdff8ce64d84cf Description: Python module for Disk and file backed persistent cache DiskCache is an Apache2 licensed disk and file backed cache library, written in pure-Python. Its features include . - Django compatible API - Thread-safe and process-safe - Supports multiple eviction policies (LRU and LFU included) - Keys support “tag” metadata and eviction Package: python3-distro Source: python-distro Version: 1.3.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: neurodebian-popularity-contest, lsb-release, python3:any Homepage: https://github.com/nir0s/distro Priority: optional Section: python Filename: pool/main/p/python-distro/python3-distro_1.3.0-2~nd100+1_all.deb Size: 14560 SHA256: 334700235ac842bd5458f8a5220bba9a3e92ab910b9f9275b418460aabd76209 SHA1: 8b3df1da09b0fd3b736caa36748679600f9b940d MD5sum: 652cc5490505b69406a3d5dbc82f0f8d Description: Linux OS platform information API distro (for: Linux Distribution) provides information about the Linux distribution it runs on, such as a reliable machine-readable ID, or version information. . It is a renewed alternative implementation for Python's original platform.linux_distribution function, but it also provides much more functionality which isn't necessarily Python bound like a command-line interface. . This is the Python 3 version of the library. Package: python3-duecredit Source: duecredit Version: 0.7.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 252 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_0.7.0-1~nd100+1_all.deb Size: 57532 SHA256: 089a548f42fb1be5bef850d46a1c6c35c3dfbdcc26ffe1ce99de55b10ae26464 SHA1: 45eefe2db2ef35d888df7f8856ba3743e3d1d96f MD5sum: ae7d619b9cca8d60b29821f69c18a939 Description: Publications (and donations) tracer duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python3 -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python3-etelemetry Source: python-etelemetry Version: 0.2.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3-requests, python3:any Homepage: https://github.com/sensein/etelemetry-client/ Priority: optional Section: python Filename: pool/main/p/python-etelemetry/python3-etelemetry_0.2.0-2~nd100+1_all.deb Size: 6188 SHA256: ac39f5ab56ebd365ac8032c72a8e070003b66576acf8ac23508b5b1564c13380 SHA1: de2cd4c37b3942b1ff0671efd8c839fb90350f37 MD5sum: de4920e0e98f8f8b9ef831a87dd7b5da Description: lightweight Python3 client to communicate with the etelemetry server This Python3 package provides a lightweight Python3 client interface to communicate with the etelemetry server. It can be used for nipy or nipype. Package: python3-exif Source: python-exif Version: 2.1.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python3-exif_2.1.2-1~nd100+1_all.deb Size: 31008 SHA256: d4a63af1815717447f09a0126a0ecf9dd96d0d4c4941ebf2e32354b1dd4a2536 SHA1: a1e5db281b9e41c27c912bd5c2ee1d4a39e19eca MD5sum: c5ebe42edc8d50bb5059a1bdcf8b1d88 Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 3.x module. Package: python3-fasteners Source: python-fasteners Version: 0.12.0-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python3-monotonic, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python3-fasteners_0.12.0-3~nd100+1_all.deb Size: 14768 SHA256: 46be3f707dbbe4084eafad3d5db9759a47cf58accc1b3ecbed5b9b060c9e4073 SHA1: da28ddd249b6495d75470ec4321a2f264699d78a MD5sum: 2b02eec7354e3ee7d74a98517c554a40 Description: provides useful locks - Python 3.x Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 3.x module. Package: python3-filelock Source: python-filelock Version: 3.0.12-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python3:any Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python3-filelock_3.0.12-1+nd1~nd100+1_all.deb Size: 8292 SHA256: 8ec72322b28f30857677ec756d834c5bb77e7c8e7e03061c9c17426583342b6b SHA1: 9881006d10b73aa4d8f022e7ce2eb9bab45cd3e9 MD5sum: d675a3ff2f54dd225219610526fb05ad Description: platform independent file locking module (Python 3) This package contains a single module, which implements a platform independent file locking mechanism for Python. The lock includes a lock counter and is thread safe. This means, when locking the same lock object twice, it will not block. . This package installs the Python 3 version. Package: python3-fsl Source: fslpy Version: 1.2.2-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 403 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-deprecation, python3-indexed-gzip, python3-numpy, python3-wxgtk4.0, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-2~nd100+1_all.deb Size: 84252 SHA256: 67159a32fce9ea4be977bacce518c1e83a3576433fd764fa41830fc2f50c1697 SHA1: 29a49a7dc03d4a5cf96ecb850d6f94a4f7afb98f MD5sum: cd34c39d84de6b9f722e245771c73f85 Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-git Source: python-git Version: 3.0.5-1~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1679 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_3.0.5-1~nd1~nd100+1_all.deb Size: 307988 SHA256: 5d2de07fdcecc1a8284ae404291e99d70c0e2dbc02ed2135f185f4344222408b SHA1: b8919d336a216e7293aa3d19a6eb4ca427087250 MD5sum: 20a9fde9a095a883d2e287612f572eb7 Description: Python library to interact with Git repositories - Python 3.x python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 3.x module. Package: python3-gitdb Source: python-gitdb Version: 2.0.6-1~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python3-smmap (>> 2), python3:any Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python3-gitdb_2.0.6-1~nd1~nd100+1_all.deb Size: 47088 SHA256: b00593035374f73c15351725def0bafb3b772a95323e92a684f6a333d0299226 SHA1: c88d3cb01a83fe396e602fe324c249499fbea12f MD5sum: 8ad7bcaadc4159c78280f432f5f0e24f Description: pure-Python git object database (Python 3) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package contains the Python 3.x module. Package: python3-github Source: pygithub Version: 1.40-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 805 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_1.40-1+nd1~nd100+1_all.deb Size: 55656 SHA256: c265d00a3c0b74dad35963c89dc4a3001fd55f3da7999b92c2c863dfd5bccbe3 SHA1: 00fcbddd6568cc5ee97c2353ea2bfc357e62c9eb MD5sum: 153836b100d517e9166e09870b8aa170 Description: Access the full Github API v3 from Python3 This is a Python3 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python3-h5py Source: h5py Version: 2.9.0-6~nd2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3393 Depends: neurodebian-popularity-contest, python3 (<< 3.8), python3 (>= 3.7~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-six, python3:any, libc6 (>= 2.14), libhdf5-openmpi-103 (>= 1.10.3), python3-mpi4py Suggests: python-h5py-doc Homepage: http://www.h5py.org/ Priority: optional Section: python Filename: pool/main/h/h5py/python3-h5py_2.9.0-6~nd2~nd100+1_amd64.deb Size: 771376 SHA256: 8f052620aa440c596fca268d569ae0aeb672663c0d4edcb137f329aecd21f6a1 SHA1: 07c4e71a8f3766229edc69bc31265f4479adcd4c MD5sum: 2f177c5204101601bff4a542f4d3dd51 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: 2.9.0-6~nd2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 21578 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.8), python3-dbg (>= 3.7~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, libc6 (>= 2.14), libhdf5-openmpi-103 (>= 1.10.3), python3-h5py (= 2.9.0-6~nd2~nd100+1), python3-numpy-dbg Multi-Arch: same Homepage: http://www.h5py.org/ Priority: optional Section: debug Filename: pool/main/h/h5py/python3-h5py-dbg_2.9.0-6~nd2~nd100+1_amd64.deb Size: 7071568 SHA256: 370abece7df2b9ed3241dc94576556515635821d8354896696dc2fd9ee59eb83 SHA1: a4880bfd1a696e567b970ebe97358a3786d2cd0f MD5sum: 9ab6082908c0142c77a6c967929c1d29 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: 025a77945b663148d8f8ca6b98cb32811d709711 0b999f01741bdcd5fc9fbc67ea2232fc435c5974 0ed3e6ba387b63eb7476660cf3dc98700c0d8aeb 119a76dd92614be4015668077f26ec2fa545600d 246af91a4d350a477f037821b447f2ef5dcfe692 25ca81634033abacbaf6865c7a5d3eeea677f1f9 292f05b3fb84e22b6893237cc8a11f2769b1a8c3 3247d67a73a892b0ce10f6fc29c69629d97265cd 35d8c9b1fd5f00183b1bed1882bb640d8227095a 3c01bf76d72555fcb5368edad43523f7eb31607f 4642924912395e2c629c7d8b41c04834c0208683 5baada98a52c03a31e59737e5df071e0707ef25c 82f194b559663bab274a558d22e63e0e1a74a56c 92ede7c37338631b80a66db02e465afa98b169a7 9efee3b2e6c0a3528c215a155e77fe622d35ea27 a57ec211202f9f5c4fe582ac9550c5a0dc573ee2 b7f1c466d85aea635fc85cbec52103be11e0972e c8d6898aa063c42404dcb9732207859cff6c7af4 d2b810d4b1c69cf789340d209404883b40b3cbc1 e666eba8e28131db867d740196cc7e830112bdd5 e7d00cff0007f6c8ee4079ac5ce2890209f55d2e edd820f6e353f45f22b01dc58c4739e5b936da27 Package: python3-hdmf Source: hdmf Version: 1.1.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 392 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py, python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any, python3-certifi, python3-chardet, python3-idna, python3-urllib3 Homepage: https://github.com/hdmf-dev/hdmf Priority: optional Section: python Filename: pool/main/h/hdmf/python3-hdmf_1.1.2-1~nd100+1_all.deb Size: 63640 SHA256: 960ee4b575221d3f1db30634c1f1eae50877fa468b6a2f653fb3ffd0daad1643 SHA1: a0ba25b20e95b73d7a651233afc9938aa840e124 MD5sum: 21dab5c693204909ae17ac3212b8642d Description: Hierarchical Data Modeling Framework The Hierarchical Data Modeling Framework (HDMF) is a Python package for working with hierarchical data. It provides APIs for specifying data models, reading and writing data to different storage backends, and representing data with Python object. Package: python3-httpretty Source: python-httpretty Version: 0.8.14-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python3-urllib3, python3:any (>= 3.3.2-2~) Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python3-httpretty_0.8.14-1~nd100+1_all.deb Size: 21120 SHA256: 64a18bb1b674db10c0fc9f99059796ba672d4c4ed33723e7cbcbff61322c6595 SHA1: f6c1c6b5521d1cc624817d41b6b2382acf008700 MD5sum: 26cd57f14fa902c756f7710427a14ce2 Description: HTTP client mock - Python 3.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 3.x module. Package: python3-hypothesis Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, python3-attr, python3-coverage, python3:any Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python3-hypothesis_3.44.1-1~bpo9+1~nd100+1_all.deb Size: 161720 SHA256: dc532bd0b80f03f9efe2b8f7d94d53176eca07592f2b9db0d0e22d7249fbdd61 SHA1: 102fd77f97582afa3d901829e9cfc4f352873fa0 MD5sum: e937e548193190944aa4f7fa2a8a4427 Description: advanced Quickcheck style testing library for Python 3 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 3 module. Package: python3-indexed-gzip Source: indexed-gzip Version: 0.8.6-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1185 Depends: neurodebian-popularity-contest, cython3, python3-numpy, libc6 (>= 2.14), zlib1g (>= 1:1.2.2.4), python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.3.2-2~) Provides: python3.6-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python3-indexed-gzip_0.8.6-1~nd100+1_amd64.deb Size: 354848 SHA256: f028aa43757df4761a8e57e3e736adb80c34e316e70c90c49ec39f3523bcc632 SHA1: 51b52db5ae4f91e3e4d4d3b211db63aea31c8a03 MD5sum: 04b20d725281a6318065940afa816b4d 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1217 Depends: python3-indexed-gzip (= 0.8.6-1~nd100+1) Priority: optional Section: debug Filename: pool/main/i/indexed-gzip/python3-indexed-gzip-dbgsym_0.8.6-1~nd100+1_amd64.deb Size: 1113672 SHA256: bda15ef7f14bb8d898b043c3e4d6aed52ab729da1a6829afeafc95c47cb5d973 SHA1: b31cc3518a1006fed47e27d1918950c1fe65b428 MD5sum: 43e27ff010ca8d29b260ba703b2b59a2 Description: debug symbols for python3-indexed-gzip Build-Ids: a1514de39bd9d572b5f137807aed706e5d017cf1 a61152d77dde8a449b4a1c86156c1185f4d3f293 efa5a984aa7b3bbb6a6acc95afe6acd8a0d5557a Package: python3-joblib Source: joblib Version: 0.13.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 870 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), procps Recommends: python3-numpy, python3-pytest, python3-simplejson, python3-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.13.2-1~nd100+1_all.deb Size: 189416 SHA256: b1e9a4dbd4d95c469dc6c4b23d6d4cbd0829a8a81929647a1396ffca7758047a SHA1: b247a07c03b05e017f6f3573d790886b60950e3e MD5sum: 6932b77be2473458bdf2ee9f6258fb28 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 3 version. Package: python3-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python3-json-tricks_3.11.0-1~nd100+1_all.deb Size: 19008 SHA256: 0e43d77ac827571f7500dd681bf53cba19a0e97188df3507b573ae215afdaad8 SHA1: 5eb4b0e9fbe2c6e0a853a6127b015e55140cf268 MD5sum: 4229637f18150ff3f44ab0889a9f0e9c Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: python3-jsonschema Source: python-jsonschema Version: 3.0.2-4~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python3-attr, python3-pkg-resources, python3-setuptools, python3-six (>= 1.11.0), python3-pyrsistent, python3:any Suggests: python-jsonschema-doc Homepage: https://github.com/Julian/jsonschema Priority: optional Section: python Filename: pool/main/p/python-jsonschema/python3-jsonschema_3.0.2-4~nd1~nd100+1_all.deb Size: 45172 SHA256: ddffafa631a4b5745aef8e2fedcb7edbb2660bee9a4fd88ba3dcd0776de22593 SHA1: aace5265a23c8a4d085c20d352a8cfc34fb76895 MD5sum: 35e8bd4d65151b1b6f3ec4d3ae7e2b32 Description: An(other) implementation of JSON Schema (Draft 3 and 4) - Python 3.x JSON Schema is a specification for a JSON-based format for defining the structure of JSON data. JSON Schema provides a contract for what JSON data is required for a given application and how it can be modified, much like what XML Schema provides for XML. JSON Schema is intended to provide validation, documentation, and interaction control of JSON data. . This package contains the Python 3.x module. Package: python3-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python3-tz, python3:any (>= 3.3.2-2~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python3-libxmp_2.0.1+git20140309.5437b0a-4~nd100+1_all.deb Size: 24528 SHA256: cb0fb73fcd75b749ba75f2da0bef79e8f9257db966286fe5fd0f0237ee60c997 SHA1: 7b1f4320c9c5e6f44fb99e90727091f6c347c5a8 MD5sum: 4a7389bbb4c8544f17745b170a80fb9e Description: Python3 library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python3 bindings. Package: python3-monotonic Source: python-monotonic Version: 1.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python3-monotonic_1.1-2~nd100+1_all.deb Size: 5612 SHA256: 67a291afe28a065d26ad8f45fb589136c5ad02cab82bfce5109e0c73449680ee SHA1: 67bd0697997bd72aa4f8a2b098b6f3bf316bd2fd MD5sum: dc9d9e0b121d8c3ce50ef215d11a2c1b Description: implementation of time.monotonic() - Python 3.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 3.x module. Package: python3-msgpack Source: msgpack-python Version: 0.4.8-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 237 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.6~), python3:any, 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~nd100+1_amd64.deb Size: 68096 SHA256: 28ec465f8bd71d47049eda40332307ff84f498e1c0d688c8d8f7323aed718d85 SHA1: ad0eec24da18ece3d58a8bc9125e58d818bac5d7 MD5sum: 82230036b4e6d9aa4323473c766f9464 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 282 Depends: python3-msgpack (= 0.4.8-1~nd100+1) Priority: optional Section: debug Filename: pool/main/m/msgpack-python/python3-msgpack-dbgsym_0.4.8-1~nd100+1_amd64.deb Size: 244008 SHA256: 6086617612b7bf808cbdc569ebab3d46c4a4b5c13163e798a6c5d56e709e1ac6 SHA1: 5555c6ff3bf19442b50bd541cea222be3741d972 MD5sum: db88d06316170c50819a6f2f809aca24 Description: debug symbols for python3-msgpack Build-Ids: 733d54ca7b8089821151376f3a2d3ef249f4bebb a0e52aeb51d403ae4226d467700a532e5b8ad384 Package: python3-mutagen Source: mutagen Version: 1.38-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 654 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python3-mutagen_1.38-1+nd1~nd100+1_all.deb Size: 131992 SHA256: 1b0542d2b6a651c704624141f71fcb23df704d912f7a7bacfa0a9fb54e3a6518 SHA1: e47f1a4b9bd5403a99924feea12a6bcb5b16ee0f MD5sum: 15411f14e9f8031e6d9d583d07162044 Description: audio metadata editing library (Python 3) Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package is built for Python 3. Package: python3-neo Source: neo Version: 0.7.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3485 Depends: neurodebian-popularity-contest, python3-numpy, python3-quantities, python3:any Recommends: python3-scipy (>= 0.8~), python3-tables (>= 2.2~), libjs-jquery, libjs-underscore Suggests: python3-nose Homepage: http://neuralensemble.org/trac/neo Priority: optional Section: python Filename: pool/main/n/neo/python3-neo_0.7.2-1~nd100+1_all.deb Size: 1309380 SHA256: b7b0d143a0b8bec85bf6771120ebb3f285cf7e0987b9bf25f3582c8d90c1166c SHA1: 31a74f7a8d56595e319ef86acb967463e9bc65d1 MD5sum: 35541317186cefed819d003f94bccce4 Description: Python IO library for electrophysiological data formats NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples. . NEO offers support for reading data from numerous proprietary file formats (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well as support common file formats, such as HDF5 with Neo-structured content (NeoHDF5, NeoMatlab). . Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare replacement. Package: python3-nibabel Source: nibabel Version: 2.5.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65839 Depends: neurodebian-popularity-contest, python3-numpy (>= 1.2), python3-six (>= 1.3), python3:any, 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~nd100+1_all.deb Size: 2662228 SHA256: 6452ad7aa1497ddddadc907f35439eb6511c50ad34763ef1487268f46a178414 SHA1: 0caf2ba015a7d85c7406fbbcbe8ce6bfa3a80069 MD5sum: 60acec56e199189cd9c22b5b53428a6e Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-nipy Source: nipy Version: 0.4.2-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3551 Depends: neurodebian-popularity-contest, python3-numpy, python3-nibabel, python3-scipy, python3-sympy, python3:any, python3-nipy-lib (>= 0.4.2-3~nd100+1) Recommends: python3-matplotlib, mayavi2 Suggests: python3-mvpa Breaks: python-nipy Replaces: python-nipy Homepage: http://neuroimaging.scipy.org Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy_0.4.2-3~nd100+1_all.deb Size: 786316 SHA256: 7f1c56b3b5daa098eb573691cb8e9f13753db982ce188cec7765277093d4d932 SHA1: b8167ae75d981f8d3dbd13e01df337c080173a22 MD5sum: f3fa2f5c753c8bf8f94847ddf3727d90 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Package: python3-nipy-lib Source: nipy Version: 0.4.2-3~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2738 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.7~) Homepage: http://neuroimaging.scipy.org Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy-lib_0.4.2-3~nd100+1_amd64.deb Size: 649152 SHA256: 7f8f7f0de736cc4252729144fc371971a58d9a808711a0f3f48ce10d169f5bd6 SHA1: c4d384452c09ed37cf2ecd9accfbfe1fa656c837 MD5sum: 95f14c09b22365660f822aa8612e2d2b Description: Analysis of structural and functional neuroimaging data (compiled modules) NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Package: python3-nipy-lib-dbg Source: nipy Version: 0.4.2-3~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 16353 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-dbg (<< 3.8), python3-dbg (>= 3.7~), python3-nipy-lib (= 0.4.2-3~nd100+1) Homepage: http://neuroimaging.scipy.org Priority: optional Section: debug Filename: pool/main/n/nipy/python3-nipy-lib-dbg_0.4.2-3~nd100+1_amd64.deb Size: 5315248 SHA256: e88b171cfb029f1127af76bd0dc43bdd54ca145e77d9d14a56a763ab4c8ca8d8 SHA1: 4cffb48484e23aa9dcc9324adf68ea1015f7f86c MD5sum: 7c1dc2aa475f4bbbae5efc9dc76f9d6c Description: Analysis of structural and functional neuroimaging data (debug symbols) NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Build-Ids: 04c98f7cafca558908d8b745cddbf659fc1a9d01 09b0abb8834656043430b4fb818b5675dbd244bc 4759b1d948888c901618a87591778e3bd6958563 4b2955a4678514b8b668332a728b91a3f05cf7f3 5544f4179b3c8c9fb5a953c9d6bcc265d323cb23 5d1b7f245ed36d1e5647592829f011dfbe74df72 5faaa4fe738b75c4bf8c7626653bc97b4f140486 636510f6e3807fb7fdd703a63226b6e3ab7f0d9f 9fe663cd34bef3472455a17bd53c2ee03785f173 c51074762e02053d81f0923b102c1f81f7a76650 dad4b8181357e0dbe6d4cf4d84460d66b9ec212c e8c44814620146c8fc816e20f2cc725297ca1061 f2bd3606ba953e9fc92c492482d97bbf2a961084 faf402bc3a0671867c5de506e043349d52425624 Package: python3-nipype Source: nipype Version: 1.1.9-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10994 Depends: neurodebian-popularity-contest, python3-click, python3-dateutil, python3-funcsigs, python3-future, python3-networkx, python3-nibabel, python3-numpy, python3-packaging, python3-prov, python3-scipy, python3-simplejson, python3-traits (>= 4.5.0), python3:any, python3-psutil Recommends: ipython3, python3-pytest, graphviz, python3-xvfbwrapper, mayavi2, python3-mock, python3-pydotplus, python3-pydot, python3-cfflib Suggests: fsl, afni, python3-nipy, slicer, matlab-spm8, python3-pyxnat, mne-python, elastix, ants, python3-pytest-xdist, python3-bids Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python3-nipype_1.1.9-3~nd100+1_all.deb Size: 1893016 SHA256: 593588cd595341adaec8e1937da9ea09b69daac0d2c58d7c06db7f984e7d5078 SHA1: 1c334b7aa88bd9be0dd3f036bb1a4f70c3d995a4 MD5sum: 97a578df3ce769a296d7f122b763909b Description: Neuroimaging data analysis pipelines in Python3 Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python3-nitime Source: nitime Version: 0.8.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9380 Depends: neurodebian-popularity-contest, cython3, python3-matplotlib, python3-networkx, python3-nibabel, python3-numpy, python3-scipy, python3:any Recommends: python3-nose Homepage: https://nipy.org/nitime Priority: optional Section: python Filename: pool/main/n/nitime/python3-nitime_0.8.1-2~nd100+1_all.deb Size: 2547128 SHA256: a7637a44edaa7cf81e8f8a1213f98d93a9197cecca5522d9ca6b2b9b7b3afbb6 SHA1: 6acb1a4e99e406e8efdfbc6454909a0b472bae59 MD5sum: 779f9054c3cd04557031f00c82d96ea3 Description: timeseries analysis for neuroscience data (nitime) Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. Package: python3-numexpr Source: numexpr Version: 2.6.2-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 668 Depends: neurodebian-popularity-contest, python3 (<< 3.7), 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~nd100+1_amd64.deb Size: 138624 SHA256: 64769e58aae94ac0938f2c6845f2beff00e18abcdbd9e6e090a0ea4b95bef395 SHA1: 73c12ebd17f4cf014121071c16b59eca183cd467 MD5sum: 9b813eeac0b56e75ab0b8e77dbecd3e6 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-dbgsym Source: numexpr Version: 2.6.2-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 468 Depends: python3-numexpr (= 2.6.2-1~nd100+1) Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbgsym_2.6.2-1~nd100+1_amd64.deb Size: 355020 SHA256: cd21f46bb867d567dba14068f248d2c5fd0d795f5828d070e3f8ac2748f5f445 SHA1: 114360c008c9a077b13f657a2bf4420f72791549 MD5sum: c7e9feb7ca04bacbc616659cbf0f60e6 Description: Debug symbols for python3-numexpr Build-Ids: 2a94e986f625abe46e09b434b24c0fb324b60777 ee327011dff36590c0763f731b7f92269acea872 Package: python3-openpyxl Source: openpyxl Version: 2.4.9-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1521 Depends: neurodebian-popularity-contest, python3-et-xmlfile, python3-jdcal, python3:any (>= 3.3.2-2~), python3-lxml (>= 3.3.4) Recommends: python3-pytest, python3-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.4.9-1~nd100+1_all.deb Size: 219800 SHA256: cf84414c643ec01e0d1f0360e45d678ac64bb53716e6db66d53060b5227c6534 SHA1: f569f96d65fcccea2dbcfe0ae5e788131f192665 MD5sum: 8f98516a032c8680e2cffbd136217f20 Description: Python 3 module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python 3 module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python3-pandas Source: pandas Version: 0.23.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12450 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.23.3-1~nd100+1), python3-pkg-resources, python3-six Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-lxml Suggests: python-pandas-doc Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.23.3-1~nd100+1_all.deb Size: 1743120 SHA256: d75b05c7857a2a4bee67867b1c6dfdffe8279bb5f06e9d07f253dbcab356410c SHA1: 7225cd1f7152443ee99fd95810d14ae0831677a2 MD5sum: 7b96362ea67fafc1b3608f8db484a6ef Description: data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version. Package: python3-pandas-lib Source: pandas Version: 0.23.3-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15785 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.2~) Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.23.3-1~nd100+1_amd64.deb Size: 3377172 SHA256: 69785ab896075ff7eb9848c6914e94602746cdfa4600c2febcd80ef136a4d090 SHA1: e5529561ca3fb9457057b1c70eacabc4931029b9 MD5sum: 43a83668b47bd80ed6972fc1c3fff30d 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: 0.23.3-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 16919 Depends: python3-pandas-lib (= 0.23.3-1~nd100+1) Priority: optional Section: debug Filename: pool/main/p/pandas/python3-pandas-lib-dbgsym_0.23.3-1~nd100+1_amd64.deb Size: 15213864 SHA256: 694a82ecf1abcf9ef1de8b5526d0611c5210b35dec58c2150c63fe3920a48796 SHA1: e788723da1483670880c7a83fe8a8a543d31ad3e MD5sum: 26af53a9735f6448f9c23307753b76a6 Description: debug symbols for python3-pandas-lib Build-Ids: 0508d64a9b2423b922d22a99793580017dc9de90 052bfa8cfce19c2b851a7eb52b7f1ad0491e3002 069b3551c162be3f64db72147679e1087a2cb1d8 071abff47e90deddd7f30108d6da2317a6b73b66 0e70cfe90d0525dbd2295a725b5856c0da02bb70 149224b13022bdf4f4d19db4bc5295e8bd9f1d41 20a7e268e3516e97bf66ce56f3dd084eddc7ead4 28336190a281af8635ce03d3b3282d6430037ef3 2d7a462764394af4cc3bb5500dcab1cd8bc274b3 2db02d650969f784a505da9dbeb00735b9dcf526 370c2242055efc7c2ad19a84a5ce5ce23f5a4e83 43e090fcadf964275fe0e28ba72e39aea608ea6e 48a7a8410b00f3b2da396d61318731712608161f 4be8194f67dae1750a285de1863f6566a9b51de6 54ac9b81edeb48b9e3edd88e5672325b182db57c 6a7e8f5483454c9c2fd0a508822ada04e6a6082e 6e51cb6e6b2780d64646e006e589b7030112f912 7786b49aca60ba9d2049c7b111fa8265df3a8ddb 7ec9186e6ff455e9fb96bc4d63046982a5c894ae 7f1ce047bd828c8e11f6541bcc55ada4484387e4 8dde670af29ddd3c49ae289c72ae8de6064e9a99 91680b6dadfb5b699c422237fd3154a2637a71d9 9e3501d7ca455e83f90e3eee529c00fad21d0346 9fe8bb694cda12cc824ed767352fe719ff800b24 a0c26d42af43b498d73628c2da5ab63803abeae8 a97476f33714c04576d2edb2c1dff593b04a5b48 abbc201fdeb557c1465e3ba2dd74d9285178bff9 ac31aa9c8d7a3a37ae59692ec75c71ceadf47e5f b0c38e7b9a5919acd4b7182a33c2bf309d0c6e5c b222bb0669c588e16ef38167c906906ed67b75df ba2577974bb636836dfb95b08459b7b2a1471fd0 bb5c96ea7e90a8309250e1f62e1d28132594a435 be1143010bbba7f36b607a8577d78cdf5f930a54 c6f89ecbf744febc26581babf9bfaf73febe8585 c7434c2431e1110e658e4641830251d9769ecf60 cc08a11debbbb2875e45a575a07bf649cca3a82e dcf5653b7f861896238098213e103c025f35ddd3 ddeabb2cd438f1605999f91b6eff198d23bdf92b e2c79da46ae1f26000c4b9c0a005e5f4e6da8f0e eab5cd7a173a36f5b99072d0681aa20669145a54 f3dc1e8e322090f1fed0fc1bd55365be4cd4685d Package: python3-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 783 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.2~) Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.5.0+git13-g54dcf7b-1~nd100+1_all.deb Size: 171840 SHA256: a1377d9c8423939f0e82c2bff55ee7e0d54402c0e23bdc4c1628d2b91a008192 SHA1: f86847c6f32d8fc4ec12a8c8a908180328fa8b5b MD5sum: 03a9f38610c07621c57f8227e381766f Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 3 version. Package: python3-pydicom Source: pydicom Version: 1.2.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14179 Depends: neurodebian-popularity-contest, python3:any Recommends: python3-numpy, python3-pil Suggests: python3-matplotlib, python3-gdcm Breaks: python3-dicom (<< 1~) Replaces: python3-dicom (<< 1~) Provides: python3-dicom Homepage: https://pydicom.github.io Priority: optional Section: python Filename: pool/main/p/pydicom/python3-pydicom_1.2.1-1~nd100+1_all.deb Size: 4396788 SHA256: 873c76dc5f2428024e74a47f87b78330dd31afee070c92b30caea1ce1f8b5c7a SHA1: ed39ebb196e0c02983e490b2143d69413030e613 MD5sum: f85079bf909aa82be6916601d1844b4f Description: DICOM medical file reading and writing (Python 3) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package installs the module for Python 3. Package: python3-pydot Source: pydot Version: 1.2.3-1.1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 90 Depends: neurodebian-popularity-contest, python3-pyparsing (>= 2.0.1+dfsg1-1), python3:any (>= 3.3.2-2~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python3-pydot_1.2.3-1.1~nd100+1_all.deb Size: 21468 SHA256: 546173f18951e966f616f08aeb9482e29ee8dbae05b55c478ed33d7a8fa68146 SHA1: 30d11a3f0176a0eacb71cd4c2ea8dc90a5c95a10 MD5sum: a67a0354d4b5e3ca415cb8161b34cce6 Description: Python interface to Graphviz's dot (Python 3) pydot allows one to easily create both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported. . Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi. . This package contains pydot for Python 3. Package: python3-pynwb Source: pynwb Version: 1.0.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 424 Depends: neurodebian-popularity-contest, python3-chardet, python3-dateutil, python3-h5py (>= 2.7.1), python3-hdmf, python3-numpy, python3-pandas, python3-ruamel.yaml, python3-six, python3:any Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_1.0.3-1~nd100+1_all.deb Size: 60480 SHA256: 4726c4515aa243503f353512dcc161392753eacb46beb09e2b2cdac2d5c8a0d3 SHA1: f0b6871219fe7d3bd8cb83c12654379adb01f4f8 MD5sum: f19722ec8f0205b913bbba5a20bc95b6 Description: Python library for working with Neurodata in the NWB format PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format. . Neurodata Without Borders: Neurophysiology (NWB:N) is a project to develop a unified data format for cellular-based neurophysiology data, focused on the dynamics of groups of neurons measured under a large range of experimental conditions. Package: python3-pyperclip Source: python-pyperclip Version: 1.6.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), xclip | xsel | python3-gi | python3-pyqt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python3-pyperclip_1.6.0-2~nd100+1_all.deb Size: 9628 SHA256: 52ae6a83b076e4a4ebead3cb57a5136eead2cfc8e78c970c1431dac328e9c44f SHA1: 84d01a62d907fbd4522f66068af483c545c64c04 MD5sum: 4bd90462085a393529d3abda6ee6e319 Description: Cross-platform clipboard module for Python3 This module is a cross-platform Python3 module for copy and paste clipboard functions. . It currently only handles plaintext. . This is the Python 3 version of the package. Package: python3-pyrsistent Source: pyrsistent Version: 0.15.5-1~nd1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 249 Depends: neurodebian-popularity-contest, python3 (<< 3.8), python3 (>= 3.7~), python3-six, python3:any, libc6 (>= 2.14) Multi-Arch: same Homepage: https://github.com/tobgu/pyrsistent/ Priority: optional Section: python Filename: pool/main/p/pyrsistent/python3-pyrsistent_0.15.5-1~nd1~nd100+1_amd64.deb Size: 58036 SHA256: 9fe3c1ae545a8dd7da32e8a8c088361816ac2a6746c3cd5af136526159664e07 SHA1: f12a59893222391c0b78634ef19dfd4de457b83f MD5sum: 27e3c9b7d697abc011ed33fc6fc9990c Description: persistent/functional/immutable data structures for Python Pyrsistent is a number of persistent collections (sometimes referred to as functional data structures). Persistent in the sense that they are immutable. . All methods on a data structure that would normally mutate it instead return a new copy of the structure containing the requested updates. The original structure is left untouched. . The collection types and key features currently implemented are: . * PVector, similar to a python list * PMap, similar to dict * PSet, similar to set * PRecord, a PMap on steroids with fixed fields, optional type and invariant checking and much more * PClass, a Python class fixed fields, optional type and invariant checking and much more * Checked collections, PVector, PMap and PSet with optional type and invariance checks and more * PBag, similar to collections.Counter * PList, a classic singly linked list * PDeque, similar to collections.deque * Immutable object type (immutable) built on the named tuple * freeze and thaw functions to convert between pythons standard collections and pyrsistent collections. * Flexible transformations of arbitrarily complex structures built from PMaps and PVectors. Package: python3-pyrsistent-dbgsym Source: pyrsistent Version: 0.15.5-1~nd1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: python3-pyrsistent (= 0.15.5-1~nd1~nd100+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/p/pyrsistent/python3-pyrsistent-dbgsym_0.15.5-1~nd1~nd100+1_amd64.deb Size: 36680 SHA256: 7095c0f63fce324c8388ce71246621fa48633f42b6bc4fb5c807ac7a84d8ff3d SHA1: c39421c8a84d8ded48f526e7eca51ff326abd68d MD5sum: 5e2e8109e2b828d06455f074994b6f4d Description: debug symbols for python3-pyrsistent Build-Ids: c42eb05f637600582d2bd9f477da64e479ba371d Package: python3-quantities Source: python-quantities Version: 0.12.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 355 Depends: neurodebian-popularity-contest, python3-numpy, python3:any Suggests: python3-unittest2 Homepage: https://packages.python.org/quantities/ Priority: optional Section: python Filename: pool/main/p/python-quantities/python3-quantities_0.12.4-1~nd100+1_all.deb Size: 57468 SHA256: 26a15df6b1add6ad6465f3c9b982aebdd14f9d79ae284e83e850c65b69acf3a7 SHA1: 85d69510c8b6f548a6a367023869925237e67d5f MD5sum: e2504358cc012051203434d68723f77c Description: Library for computation of physical quantities with units, based on numpy Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. Quantities builds on the popular numpy library and is designed to work with numpy ufuncs, many of which are already supported. Package: python3-reprozip Source: reprozip Version: 1.0.14-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 180 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.6~), python3-requests, python3-rpaths, python3-usagestats, python3-yaml, python3:any (>= 3.3~), 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~nd100+1_amd64.deb Size: 46716 SHA256: e439dff12eda2465b1ece7b9190a6cb24935a6314ebded563cf587fd85b4af06 SHA1: e0fb353966c0c5f5a05fca27e5e97391a07c68d1 MD5sum: 26bea41a05e72804fc51be1b04e03707 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~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 287 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.7), python3-dbg (>= 3.6~), python3-dbg:any (>= 3.3~), libc6 (>= 2.14), libsqlite3-0 (>= 3.5.9), python3-reprozip (= 1.0.14-1~nd100+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~nd100+1_amd64.deb Size: 124944 SHA256: 6cbcd23415ec2577a8aeede7043681382d9990284b5636789e041a156ec30107 SHA1: c10812e3330d1bd9dff994d8eb38e96910f88f5d MD5sum: cea5258a07c77cd0e1ee72ab89ae45b5 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: bc71c3a1a47afd5be7352d2cd33d5cabae219aa4 Package: python3-rpaths Source: python-rpaths Version: 0.13-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-rpaths-doc Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: python Filename: pool/main/p/python-rpaths/python3-rpaths_0.13-1~nd100+1_all.deb Size: 14212 SHA256: 87303fb518107aaad34ec79f4a2b9aa16dfc6b60b09628e44767a97d8ddc1255 SHA1: af29d93ed958a6d422863e275776e10056a5be18 MD5sum: 055af8aab5118410df338b2ca343032b Description: cross-platform path manipulation library for Python rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the modules for Python 3. Package: python3-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14734 SHA256: fe098a5b0a58b9e56dce648d68194e7893157756bbbc1ab3cfa38f1c677c7956 SHA1: cc73271ad6a5f7760b677ffe3c02776756e40c13 MD5sum: b303fc751f272623c6bab1a3c92cb20c Description: Python 2 and 3 compatibility library (Python 3 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 3 module path. It is complemented by python-six and pypy-six. Package: python3-skimage Source: skimage Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26053 Depends: neurodebian-popularity-contest, python3-matplotlib, python3-networkx, python3-numpy, python3-pil, python3-scipy, python3-six (>= 1.10.0), python3-skimage-lib (>= 0.14.0-1~nd100+1), python3-cloudpickle, python3-pywt, python3:any (>= 3.3.2-2~) Recommends: python3-pytest, python3-dask Suggests: python-skimage-doc Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python3-skimage_0.14.0-1~nd100+1_all.deb Size: 19932184 SHA256: e970af728b776982934dcadd54e76fd1d40228f5bf939de5bb7994e1094e9007 SHA1: d5d2dbdb932fea73abba89e25ccde7f71134d21e MD5sum: 39562a5e71fa9f586d2c956c6f7bdd4d Description: Python 3 modules for image processing scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package provides the Python 3 module. Package: python3-skimage-lib Source: skimage Version: 0.14.0-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10834 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.2~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Recommends: python3-skimage Multi-Arch: same Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python3-skimage-lib_0.14.0-1~nd100+1_amd64.deb Size: 1727116 SHA256: 716d5fb5449787462aee06b3ca79f943abe7c0bad7966ba9a29918790fca09eb SHA1: 3ed0e626bb0b738adcfaf007e8b95837d1a53b24 MD5sum: bb626d6558991c465444f028bba5e8bb Description: Optimized low-level algorithms for Python 3 scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . This package provides the Python 3 libraries. Package: python3-skimage-lib-dbgsym Source: skimage Version: 0.14.0-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10856 Depends: python3-skimage-lib (= 0.14.0-1~nd100+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/s/skimage/python3-skimage-lib-dbgsym_0.14.0-1~nd100+1_amd64.deb Size: 9378508 SHA256: a6d9480233024e7e24d603b433e9e53366a92f75d94b354d102974906425778e SHA1: 4bf5cc514cd80beaa8eba7b5e79b6e280716b152 MD5sum: 8a5e76fe580fc694e152ea5347fdb790 Description: debug symbols for python3-skimage-lib Build-Ids: 09e20b59c27880d3f79c07d9a09c995218682910 0a5f3a376950e69b837a23a2c4271a60295b2dda 0dafee74f41360a378acbb858e8cf64abeb9bf04 13e589cef368cc88d751be86b9debe6e11815920 1887c3ac4a3cbc6e8310962f1b60e25844bdb433 1f78645d1def9e1764ec4435a03568ea5bd7f5a5 2984d9b98d72d5d34bdb10cb4fc16597186eb42b 2cbfc7e54cd8115ed89601e6cbeeba4ea3bd5cd6 2ceab3148787cf8dd5b12f9c5c68059279aef332 39e952c75a5202dd7322906865f8fd5f220cd319 3cf1cf2933d5243933e2f24ac44018ddc49c0cfe 4324deb0c24338d9f64225886084955b483c2d95 4c27cfb4e4072b281ab64b83bd84901aad314904 54edfc7bffd178ab0fb1dde8c8ff15fbd32daef0 58ec769b3b8b8cb070cdc6200a21b1f28713acb2 5db65104608962d5d2e38391ad82f622c69698ed 69ab3e33970899a6618dac35a77a13d24222d449 6e0d72f7416c321e5f87fde57565b36537fa9a99 78298b7c1a121850b3b8601d0a7ed1d2c854a2ef 78dbdc0bc455a731ae339e04a77a644362308451 7c0c28e1ba44c339d9e7b19d0bc0bea2cae157de 7de71a7ec884b5bda884e5ba3b9813b397fff4e3 7e221944550aa334e6135bc078b561c92d139591 8a7b02dea0ca47ea5166d6787964eff1a57708f8 8b16036a635ad30dd1d092c8e7ba4c2cb1e6cbfb 8b8293328e150a3057498c6fdc38af9ddcc5eb36 8ca92711243665643a3c1c6d4de9cc50e1a09bf0 a8c53fef1d625fa9243eddc919f2c92af6d5d3bd ac81d5640d50376e5a4bcd9a5b8bb7e1d5c20583 ae26105ca9d3be4a1c460c522d54a84d69c67e51 bf41b5c55d9427e8d27eb5e3843d12bf70fe7a7d c0a1334aa8942ae2e96d47fad2b225f41b35732d cc02d11f58e41f00ec3eb5d506b7a9ab21de88d9 d7780d08297473aee21de5859a9a45c775fb12a5 da7b87e1eaf6a8942932b48d4488377054834ccb da7c31315b610283a1045fa8a68b6dc7ac972799 dcefee13c8a5aae8341ff52561f40ec66497d8ac e4d9d892c343544dd9a99f0eebef967e4a4fed60 e8cb968c314713fb692441b3005fc6297025c867 f06b9f1a5334848908a0f966db0045246e5c14e2 f095bbfc5b956c11bf8e569426a09d1290e3527f f0b36d1391a2cbcd46ae13f246fd5c515867715f f2b1ed1ed94c6098c01902a85589b2a27e1adf33 f4082dc32487bce776084f76ab76223941e1898b f4f2848b98888950938c0a0e5fdfb30ce5a76f7f fa9a52dc36bf258b18a15789011585b3c9e1ac2d fe284a20e3a4ccd001a8f213e4594645bf3dc66f Package: python3-sklearn Source: scikit-learn Version: 0.22.2.post1+dfsg-5~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8984 Depends: neurodebian-popularity-contest, python3:any, python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.22.2.post1+dfsg-5~nd100+1), python3-joblib (>= 0.9.2) Recommends: python3-nose, python3-pytest, python3-matplotlib Suggests: python3-dap, python-sklearn-doc, ipython3 Enhances: python3-mdp, python3-mvpa2 Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn_0.22.2.post1+dfsg-5~nd100+1_all.deb Size: 1784884 SHA256: 85e4c75ade099d229e7a072cba3ad016b84fe474707171972eb80dad9176d512 SHA1: 4718eb90414b1b7869e0fd125a3afdc8c7adf802 MD5sum: 24c7e12dc29fc8589877fcd8052873d8 Description: Python modules for machine learning and data mining - Python 3 scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-sklearn-lib Source: scikit-learn Version: 0.22.2.post1+dfsg-5~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10462 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.7~) Provides: python3.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.22.2.post1+dfsg-5~nd100+1_amd64.deb Size: 2069540 SHA256: 421c8911a97a2ea1670af9234533efc95650c28b53cfa27447a8bae61734e9f2 SHA1: 83204c31789651e9b9807e58d83d919e47df3fbb MD5sum: ad909274dba18f53ebd265fe85be27e7 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: 0.22.2.post1+dfsg-5~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14622 Depends: python3-sklearn-lib (= 0.22.2.post1+dfsg-5~nd100+1) Priority: optional Section: debug Filename: pool/main/s/scikit-learn/python3-sklearn-lib-dbgsym_0.22.2.post1+dfsg-5~nd100+1_amd64.deb Size: 13076988 SHA256: 3d1af9d5e948b4aebc8e1b41a4353a4aedbec1065f4198d7f201839ca6471a91 SHA1: 3fa30c282e7bd72568d9a1297ccc8f09554a5f4a MD5sum: 79d3367bd5722c2d4a6193c4c85b5485 Description: debug symbols for python3-sklearn-lib Build-Ids: 0c23fc3ea0769f5f6fb930233b0b9d18e8e75775 13e2332a59bbc5d4f1d99c7fe5c4d94e5bbcb4cb 16015967c3fce4b267375bedc326b9c3e3f50ad3 21f672ca357ed68bb5cb6b38c7978d0e138be575 2a8b0829af18cc94a187df26707d2107de23026b 2ceb54e20ad74c689ab8b1994e150d54fe07423b 334bf1a1fd0ee16124e0c9e5ce9c1ab0143eb471 3471a97d7568313474e1308791ba7ad7b2442c1b 3b80dc75ee0e7436c752d707c6c0c665e4080045 4c31c33b447f4be65692d25f1dfa4f8213b35667 5150e5b041d5d40ae6be54d874c15c14acebbe2d 51ae3cd22c31d4a7269d8a9b4c653741e0d28368 6fb4e71ae20069136d76eaefa33b24b929b0f1ea 73d9185a732ae6e407dd8e0bfc72182e3f51c4f6 7f2f2f0699b434ed34df97a572063ec9cf0f1401 81680e9ea775ada49dcff02bfe4e4956a1250ace 832764e71a48b087fa9c8a1009c8981d006dd148 872c3c85ef776359c4d8563b61768a5faf66346e 88eac30509f882cb283aac8fc41ebebadbe4b1af 892720bbb3e4963e29daf80fc496b5570ccdd233 8a19c42d9c04a71d2e989c459051035c780c1a08 8b490b4d702f4068f48df618aa43ac1c420232b3 8dbac69687a2454b6429713c26a20ef537d90423 8e40e4f43b2ef0c85133bc6027bb3b1f0c1db496 93170747d166865497e7db29f7d706e21cca6ec2 94159e14b18e5048526ed4ed345e71cb7c5775cd 9b9ad1483cccd7fec3dfeb26098c5fac718f21d5 9d628e4bdc742028269323ad6776a5eae5dcca02 9f9caccf9846a431383e532403ea94cdf9896987 a694315e7a6d5832aa2c093f81b7df0f0cd983ff a954168d6d6bbec3be400eb18f3deb23f4cde8e2 a99aa71f55abf0d4dca0e671c6efb5e6b717d70e afbdb407b1a3a9ae22a1bfeb60caf0b175369fb8 b296f818ac60bcc104e3cdaec34ad77fdbb4a440 b55a3f3e2a98f712f6093876cbe28e9ded5211c1 bc8552f2a13f2800e6e6c0660f9fadf0a91d1443 c05dad8e38babcf475e99e98f37dfb8ba503af94 c0f6904a696c54af4fa31929632e3c2bcc622cb8 c2b3a74777628ff933eb567727dc9e8e82c2b007 c5db3a0e2a2c920b70bad3384083030a035f4a9e c7cbdc50445e8ca6c186544d4c4c5d0f0f50ad7c ccaee7501586c3699cc81c98ee17322f44c996a5 d0168506f6e2b60ec9ab12c3d2efcedc3577bfee d666c370473be95e70b4b56abdf17de7b7d1fc7b d90b70c1b9931f35e3951bd811fe4b3cab890a63 ea2ff85bd2174e6101c292833e0552505d623582 f0cb2cff01ee044733c7404574e8bf3e4a6d3708 f3fae6aacf05809e238ccd5c95403561622f4f9b f70bd50cb9ab23e3e2373d0fd14a7c3bd193be4c fde0561e4471ffc0811861d6e25ec5e92f9303ef Package: python3-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python3:any, python3-matplotlib, python3-pil, python3-sphinx Suggests: python-sphinx-gallery-doc, python3-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python3-sphinx-gallery_0.2.0-1~nd100+1_all.deb Size: 71956 SHA256: 3d9e9c49a95e6ad725108c7d90d4cf3cf0908e8c98760649a4702e6b4aaaa14a SHA1: bbe7dd83647e0e7210c0a5c4d3b543d1b2726bb8 MD5sum: cd4bf97c721b9106e0d1c99672f586ef Description: extension that builds an HTML gallery of examples from Python scripts (Python 3) * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains the Python 3 version of sphinx-gallery. Package: python3-sphinxcontrib.apidoc Source: python-sphinxcontrib.apidoc Version: 0.3.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest, python3-pbr, python3-sphinx, python3:any Homepage: https://github.com/sphinx-contrib/apidoc Priority: optional Section: python Filename: pool/main/p/python-sphinxcontrib.apidoc/python3-sphinxcontrib.apidoc_0.3.0-2~nd100+1_all.deb Size: 8048 SHA256: 7a5803b6189625f206aa0b222ea3b5a878910829c657ed2cb2fd1888170375a0 SHA1: 27a9c2e1c352b54ee3eaed1a7c040b4fabd9c2cb MD5sum: 87e8a0c1e717fbb598f9540c0935e855 Description: Sphinx extension for running 'sphinx-apidoc' on each build - Python 3.x sphinx-apidoc is a tool for automatic generation of Sphinx sources that, using the autodoc sphinx_autodoc extension, documents a whole package in the style of other automatic API documentation tools. sphinx-apidoc does not actually build documentation - rather it simply generates it. As a result, it must be run before sphinx-build. . This package contains the Python 3.x module. Package: python3-statsmodels Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 18198 Depends: neurodebian-popularity-contest, python3-numpy, python3:any, python3-scipy, python3-statsmodels-lib (>= 0.9.0-2~nd100+1), python3-patsy, python3-pandas Recommends: python3-matplotlib, python3-joblib, python3-colorama, python3-cvxopt Suggests: python-statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python3-statsmodels_0.9.0-2~nd100+1_all.deb Size: 3426700 SHA256: 4e273ead9dc895dc7bb5cb2991d42a4e580f58c9980248bd4ffae9f2dd05ef67 SHA1: ff375d56e7afcabc00ea4e0ff12960c7d11c7082 MD5sum: 65c3593e5cc4b2c864698d0d6c3d85ae Description: Python3 module for the estimation of statistical models statsmodels Python3 module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python3-statsmodels-lib Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6960 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.7~), libc6 (>= 2.27) Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python3-statsmodels-lib_0.9.0-2~nd100+1_amd64.deb Size: 1224864 SHA256: 002534f1c03fb4973922283c1e6dd0705bd544b171373aefe42048545e3ca0e6 SHA1: bd6c956acbaa80b6cb82c8744d7a2827cdf4d7f7 MD5sum: b4c52bd87281b7bed153a3f423a8d3ea Description: Python3 low-level implementations and bindings for statsmodels Statsmodels is a Python module for the estimation of statistical models . This package contains architecture dependent extensions for python3-statsmodels. Package: python3-statsmodels-lib-dbgsym Source: statsmodels Version: 0.9.0-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7550 Depends: python3-statsmodels-lib (= 0.9.0-2~nd100+1) Priority: optional Section: debug Filename: pool/main/s/statsmodels/python3-statsmodels-lib-dbgsym_0.9.0-2~nd100+1_amd64.deb Size: 6596640 SHA256: bdad8ba7ace730b6620d641e6852751f61ec1b85aec428b97baefea75b9be6e7 SHA1: 968e5b8ffc24b034292ffe68862da2f4c5cabf74 MD5sum: 99ededfd8e329383157935e36c3a68b0 Description: debug symbols for python3-statsmodels-lib Build-Ids: 1c2bf9ae67429faafce61746fc53fab0810d1a8a 1e715ba924f5bee78033b213599fe7b64bc34a6a 26af7eb8b211f8b6767d107c06d09acf1bfb2837 27b94e69530c07bc548fdc44e239661b6460f363 3cc4be695382fe6b0fc2fe7e0d53d7ebcce4c172 4178dac6931d846c07a76c16366c87f2720c6138 6d5618f8b509a59aae5d434a0488874703b6368d 72292e65ebf2ebe864848cd3656bf6600e8a92c7 928cc04203ec979402cc785a3865a716699d7725 98610d870981db42f770ff7d6b486481a1e0d443 9dc8875b7c98facbb1abe50b712e23f7667ea3c1 aa246e5e03a8d6b6a8ed561f2c4f547a30221a18 c4dc8425ad10f5ddf0c98f13ab8dccc8b7d20cbe cb518dd91f4243fca70ddf778bb5e13acd913ba1 d4e77baa187e080772e81c549d4bd7255e52acda e20e66d961ce0e212f2409381d08a1bea5a02014 e2b0ad10c119c9d48255f19c09bbf43854818fef fbbdf2857c405486b379db476fef73a70dbf7553 Package: python3-sympy Source: sympy Version: 1.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26373 Depends: neurodebian-popularity-contest, python3:any, python3-mpmath Recommends: python3-pil, ipython3, python3-numpy Suggests: texlive-fonts-extra, dvipng, python-sympy-doc Enhances: isympy3 Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/python3-sympy_1.3-1~nd100+1_all.deb Size: 3499676 SHA256: 48a50331b39f7071025d69fe6a61a5234643253bc0bf6d07cb67059027b71b4e SHA1: 545d2d834dded57507d83d8956aa320cb6bd9790 MD5sum: a823958b7178dfbc7e38bc73579d094a Description: Computer Algebra System (CAS) in Python (Python3) SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains the Python 3 version of sympy. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python3-whoosh_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 290826 SHA256: 571725d4546678cbe70e525f38fc66853aa7fda32e27b56dfaac8ce5b674210b SHA1: fb6fa2b9a76d4ed9fec61aeb4972ce88487d5e7f MD5sum: b46e377dd534da6136e6d9d087ca69a2 Description: pure-Python full-text indexing, search, and spell checking library (Python 3) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python3 library Package: python3-wrapt Source: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 164 Depends: neurodebian-popularity-contest, python3-six, python3 (<< 3.7), 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~nd100+1_amd64.deb Size: 32278 SHA256: 915a615485711eeb8009021f30e48ea27d272c2b555020cce2181ca39a6c83db SHA1: d60c42e1a8e20bd59e2a718dfe24c53c509c3c4e MD5sum: 5d6f5edbab9b4ec8a171e21d0fe6b482 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: python3-wrapt (= 1.9.0-4~nd0~nd100+1) Priority: extra Section: debug Filename: pool/main/p/python-wrapt/python3-wrapt-dbgsym_1.9.0-4~nd0~nd100+1_amd64.deb Size: 52850 SHA256: af5e2d2aa515e7e0495543c6c7d3575401fc1f437a752fd9623b847e37c9e199 SHA1: a8376e708ff87993a51c0e32a725f19739840ce6 MD5sum: f117cca2d4a90e197565892d25fe8e09 Description: Debug symbols for python3-wrapt Build-Ids: 0dd66f13d5bbfc8c1f78476cc6ad05a7b777742d add07cb631a4736ded3f259a76c3d332b33cbae5 Package: python3-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 448 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python3-xlwt_1.3.0-2~nd0~nd100+1_all.deb Size: 86224 SHA256: 19b956f4f989449097999e1fefa99b7776ec051182d9bee946b00d96f5c7e2c8 SHA1: 1f4a6d84a387a3023867a0bbf509a268c4625c52 MD5sum: 8c3a5ed0479200c7eec6f93fa5b17afb Description: module for writing Microsoft Excel spreadsheet files - Python 3.x This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the Python 3.x module. Package: 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~nd100+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~nd100+1_amd64.deb Size: 157496 SHA256: 21cd987914d6322cf08df1b5765d518b79be3f54ea97cb962562b198965a59dc SHA1: e2f5d790d3c4e3e4a5acfb241becdde09b41d6e3 MD5sum: 517aa3cd0f08ab0f642f438b762a0406 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 358 Depends: remake (= 4.1+dbg1.3~dfsg.1-1~nd100+1) Priority: optional Section: debug Filename: pool/main/r/remake/remake-dbgsym_4.1+dbg1.3~dfsg.1-1~nd100+1_amd64.deb Size: 319480 SHA256: 7e60c10c8ec80ba283bb4702cfcd256987aad6c57304317752a6919112ee9def SHA1: 9943e7a38cb8f5659219df82a765fa39710ae044 MD5sum: 54face330601ebd72da21cf27a392ed8 Description: debug symbols for remake Build-Ids: 38c0bb13922bfd72c4b47219f7029e8e976f99c9 Package: reprozip Version: 1.0.14-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-reprozip Multi-Arch: foreign Homepage: https://www.reprozip.org Priority: optional Section: utils Filename: pool/main/r/reprozip/reprozip_1.0.14-1~nd100+1_all.deb Size: 3628 SHA256: e5c7700522c62911b2b41a219481e0beac91ed0e8fb05783b1be623d645e7e2d SHA1: ee437da0daa11b9ec00b41d51adbc27aa9cf6b25 MD5sum: f42b559b98cb92e20d260b368952851a Description: tool for reproducing scientific experiments (packer) ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. . It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author’s computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step). . This package provides the ReproZip packer. Package: ruby-asciidoctor Source: asciidoctor Version: 1.5.7.1-1~nd~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 817 Depends: neurodebian-popularity-contest, ruby | ruby-interpreter Breaks: asciidoctor (<< 1.5.6.2-1) Replaces: asciidoctor (<< 1.5.6.2-1) Homepage: http://asciidoctor.org Priority: optional Section: ruby Filename: pool/main/a/asciidoctor/ruby-asciidoctor_1.5.7.1-1~nd~nd100+1_all.deb Size: 183716 SHA256: ca71aee192068ded4e70623cdf4bd03b4f41ed39d23cdeb43c4eb00c7d1d58ee SHA1: 08ba6751228f27f2f7aaf86f2e35850c9efdd559 MD5sum: d256b9e822f071e09fff78ffd4aaf678 Description: AsciiDoc to HTML rendering for Ruby (core libraries) Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. . This package contains the library files used by the asciidoctor package. Ruby-Versions: all Package: singularity-container Version: 2.6.1-2~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2576 Depends: neurodebian-popularity-contest, python, squashfs-tools, ca-certificates, libarchive13 (>= 3.0.4), libc6 (>= 2.27) Recommends: e2fsprogs Homepage: http://www.sylabs.io Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.6.1-2~nd100+1_amd64.deb Size: 354412 SHA256: 181b5c879750cd7f4536257e16d2a9434ec1bb0cff687223e62f9e945a406d3f SHA1: 587e3a95578b3c5d8b2c4debc71ab7d5bf0357be MD5sum: f96e993383afa17484e466212927d8bb 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~nd100+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1294 Depends: singularity-container (= 2.6.1-2~nd100+1) Priority: optional Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.6.1-2~nd100+1_amd64.deb Size: 1037272 SHA256: 7d598535a632a458b11412ea4e4fc5c6fb68daf11cf135817d877119a01648da SHA1: 6cb2bd0670d0c07bfe369de8433a331332cbcc83 MD5sum: 771c1e1eec1576328e99f20b6129399c Description: debug symbols for singularity-container Build-Ids: 1f97acb8348c48956b87c286c4d7bc1a30a4e38b 49145f7a44b8bdf60bc03ba4c8ea20a0121965a4 6d507d9d0e977bada27bd8c94a269281dd994b52 70a115fff3935fa9e1c236d9579f8530ccd2b675 718e3da1acdaae1107e6c4945329e8dea6b9d5cd 8dacb630e33d08e4811b8577dd814c14f0012720 93970151649eba3eeb3b5c81b420a30b45b21bb8 951684b8e48ac2cedf541e750cfa25adaf455b5e 9727d2c6df2d576f77f144a12f0d48775c0cdbf6 9ee09c5930a9e29cc4342cddf3d1e9d40dfa8376 aa0dbbfbde52ba1e8cde1e0b2be2b027f47fe0d5 ab4c1bab1cf582890f277b358e145ca9b2643663 c6ca544cba625c8e1829ad402b978941f91433c0 d537fe1b2b59408a33192dba4944ff6e82fbe7f5 e923e35bf0d8c6a4014bc51c5b197b2fd29b6935 Package: stimfit Version: 0.15.8-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3299 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod3 (>= 1:4.5.2), 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 (>= 3.0.4+dfsg), libwxgtk3.0-gtk3-0v5 (>= 3.0.4+dfsg), zlib1g (>= 1:1.1.4), python-numpy (>= 1:1.14.3), 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~nd100+1_amd64.deb Size: 904288 SHA256: 67e5c36f508dfacfdbab7f565a70c6c31a22700d617438c0365835f8626de630 SHA1: 115f51f187306196b8481d11d4d003a7cf61d26f MD5sum: c5a9fe1ad7ff8a1bb6cbc253857049de 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~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8533 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~nd100+1_amd64.deb Size: 8291976 SHA256: 1fbca02d834f0bd49b76cce2b395033e32a491317b9900f19734163a1b3cc1aa SHA1: ca475a0dada3678de5038541747f684b1865130a MD5sum: 955d1727245d6ff6e70d6b3add2befa4 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: 04927e74b449b0935b7b04ea0deed1fc43614838 1c266076bded482a899f2fecc727eae327a3450d 27454750d0573bb9b36a4954bb9afc6f4c589f5d 4522f3bca5d13512f47548990a50ecdf118469d1 78c69d5215e23538c64ba47de6caa820f08f9725 a711eb8c538c6a30f329f596e99e737ed3e6e77b b8b3446aaeaf3f3af8a42a0948e2ab44cdb83e41 Package: svgtune Version: 0.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest, python3 | python, python3-lxml | python-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.3.0-1~nd100+1_all.deb Size: 7484 SHA256: e2928dd74a9d7302bf09c4ca10be610bc595228c375846a65184c7cb4a97f556 SHA1: 69619be263ff514f556a30383dae5ec2cbdb7e76 MD5sum: 592579e4573d5a81c9633be5f6c50d8d Description: tool to generate a set of .svg files out of a single .svg file svgtune is a little helper to generate a set of .svg files out of a single .svg file, by tuning respective groups/layers visibility, transparency or anything else. . It might come very handy for generation of incremental figures to be embedded into the presentation in any format which inkscape could render using original .svg file (e.g. pdf, png). Package: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 238 Depends: neurodebian-popularity-contest, libboost-program-options1.62.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 7), libvw0 (= 8.6.1.dfsg1-1~nd100+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~nd100+1_amd64.deb Size: 57632 SHA256: 6c68523f54321ce75f932379ec1804cb5a4a4c33daf9ca3cd40919fc01562601 SHA1: 1bf853cb6c34656fb5bdeb4de84d9df8fa0971c4 MD5sum: 9413cba4fbabfe0093169ab6efd67e3e 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~nd100+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 627 Depends: neurodebian-popularity-contest, vowpal-wabbit (= 8.6.1.dfsg1-1~nd100+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: debug Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-dbg_8.6.1.dfsg1-1~nd100+1_amd64.deb Size: 92284 SHA256: 0141e6cf8354746a3b5847f4c1238ac210ba87de0dc3066874799b2e7ebbc927 SHA1: 068b66a2b7c87140633e7b136fa67d5440bf591f MD5sum: 70d153f08e3efa9df5cf7d1108367990 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: 13ca36ab4016e519251f543edd8934132687385e 28a3b8d03233602182873acf647a329bbb6eeda0 2b591e8cb03f093b141317ac5d6323a9622f9a3b 89b6c27632a19faf6a9b6433e956b811d5add9fa 9af0888a6ef486ce8cf1825a11c0813ba8a82954 be2bfcd082271e7bbecd1767e3f533c4aa529262 ca707f7d669759a47acfc48fb698674983fca2bd e730b232173bcb5cea6d98bf250b24971d362e81 Package: vowpal-wabbit-doc Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26318 Depends: neurodebian-popularity-contest Recommends: vowpal-wabbit Homepage: http://hunch.net/~vw/ Priority: optional Section: doc Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-doc_8.6.1.dfsg1-1~nd100+1_all.deb Size: 18687264 SHA256: 59c423a97e6e4fabbe64fb7db8509d3cf592694aae8847e268b1bc01c9e7ce8a SHA1: c05fc4cf12b294a6092dc72e87fb39c7edfd7fcc MD5sum: 646cf2ceebad0cc2dea390b07bcded23 Description: fast and scalable online machine learning algorithm - documentation Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains examples (tests) for vowpal-wabbit.