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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 283 Depends: neurodebian-popularity-contest, ruby | ruby-interpreter, ruby-asciidoctor Multi-Arch: foreign Homepage: http://asciidoctor.org Priority: optional Section: text Filename: pool/main/a/asciidoctor/asciidoctor_1.5.7.1-1~nd~nd100+1_i386.deb Size: 64168 SHA256: 01ee2f63f57e85d3759dada14c02465a879a7d2dff689bdae6acdf40620b34eb SHA1: b12b53d04d259614fdeca979eb8ebf569eaf82df MD5sum: 5bf18edc0c224259770a8b110d0f9f6e 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: btrbk Version: 0.27.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 329 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 3.18.2) | btrfs-tools (>= 3.18.2) Recommends: openssh-client, pv, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.27.1-1~nd100+1_all.deb Size: 91144 SHA256: bd828c92fce1ce24cdb0ac5119973b0e218a31ce5d86d4b57851bbec2c7444a9 SHA1: dc4eda7e0a29793ff9bae119bbfb0e6146b83b03 MD5sum: bd04ec88e9104b2e5edaba99a647a7f7 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: 1.3.2-2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 49265 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libftgl2 (>= 2.1.3~rc5), libgcc1 (>= 1:7), 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: extra Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.3.2-2~nd100+1_i386.deb Size: 21307740 SHA256: 2e00ff87cd46cd0f1a802216781def6eb0d98e4d8f5044728361c9c79febbdef SHA1: 173d4c51ff415aaa554d41a147ab41a14f2f3e50 MD5sum: 9d7e3be1e8255b9961642faa12a13478 Description: brain visualization, analysis and discovery tool Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. Package: connectome-workbench-dbg Source: connectome-workbench Version: 1.3.2-2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 239222 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.3.2-2~nd100+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.3.2-2~nd100+1_i386.deb Size: 237570172 SHA256: 7963b0bacc579e1ef975378277d312f079edb2ee492e3b008ffa99befe03809f SHA1: 574a2484edbf4c1ebc36d9474d9c7f1b15877849 MD5sum: 362116ec563565e14d621933325c1857 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: 03557df0808653945c606ce4cbdfc790cba64b8c b1d38892bd13b6bebc75ccaca041af36266e7ee0 Package: copyq Version: 3.6.1-1~nd1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5026 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.2), 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_i386.deb Size: 1403888 SHA256: e370167363936c7e36d37bc8aeb94da9367a138fa2e93c7dc885e38dd426a882 SHA1: 409114922fdf8e069872f93a43790f484990cfd3 MD5sum: 40553fea12634a0b7fe4aa3b229ffa63 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17752 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_i386.deb Size: 17523276 SHA256: 85d1d474b749f8cadb457b1d46e93091604c693ed10b7613e92f983ab023c5eb SHA1: 5ca40d53a0e3d0e33af61c22131c05564e42b98b MD5sum: 2056413517ea1d561020b9a7bf00b683 Description: debug symbols for copyq Build-Ids: 6e77e0140e964ff98538787ad1db56fe34c7e858 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3131 Depends: neurodebian-popularity-contest, copyq (= 3.6.1-1~nd1~nd100+1), libc6 (>= 2.4), 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_i386.deb Size: 688524 SHA256: 60446d2ea8c1708f66f8d41e18b59de8fb07ca73de05d1758b32809c3a77e582 SHA1: f0b0044c6c4cc747182c0427134f6245d02c7a93 MD5sum: aa88e75c6b749cf0a1f59880d48afafe 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13740 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_i386.deb Size: 13360572 SHA256: 2681f76078a04b8afab96e5fb9d994556ba5f20b98d1825c016d70d3f7dd34bc SHA1: 0793eecebb9c9380b288346c92b96e787cb11b43 MD5sum: bcffa8f45e8b16ce4935c74371b61067 Description: debug symbols for copyq-plugins Build-Ids: 1c3aeb05521ce68792b7906f9963e0213807f147 341f5ca73a19b469763b2b2bdfe66c6b9910105b 5228de3369a1c53a7b9eee0df8c7180769128875 5739b93e2db3336d647ca7a864bcdca54fb504d7 71bf18a401a6465c8a7831b53ba20f7330475d21 8def1ffc889a383fdd70c3d112c308f90ea9938f ca48f68f317b13cabb1c13334bb71f9f56b4d542 eaba9868a957c3649b93d3a25a2b2edaa2c467ab ebce22996ba204f57218e1bb2165bb930d5f6ad6 Package: datalad Version: 0.11.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 129 Depends: neurodebian-popularity-contest, python3-datalad (= 0.11.2-1~nd100+1), python3-argcomplete, python3:any Suggests: datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.11.2-1~nd100+1_all.deb Size: 93464 SHA256: 2fc7f83d6dbd131756cb48b0c05c2db5ae3e0d3b6d0ee40cfeec3ae967125589 SHA1: 4a74e19f5901098b2016acf3907ff376f0bb9607 MD5sum: 9fa4704d119abf92bd4a9b27b36047b4 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: 0.2.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, datalad (>= 0.11.1~), python-requests (>= 1.2), python3-datalad, python3-requests, 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_0.2.2-1~nd100+1_all.deb Size: 15736 SHA256: 2ca300b631a2869bf995d8db4a0eb5008635ef723001dc2aab03c7b9347f7147 SHA1: fd7a3d9eb0130799c6dcdda4bb7cbb37fdb8c84d MD5sum: bbdb0b200707d92028583fdc9fa23eab Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: dcm2niix Version: 1:1.0.20181125-1~nd2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 737 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), 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_1.0.20181125-1~nd2~nd100+1_i386.deb Size: 180320 SHA256: f7d6b8c778155534657fb0614bd0edd8ac08c935758236f3aaf3b1060219c6d5 SHA1: 96595a167416716d1e257b4893ea2be979133c27 MD5sum: 9394b113a623554bbdfdf667d1d2390c 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: 1:1.0.20181125-1~nd2~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 872 Depends: dcm2niix (= 1:1.0.20181125-1~nd2~nd100+1) Priority: optional Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20181125-1~nd2~nd100+1_i386.deb Size: 826168 SHA256: 0c7b8fc13d38c13aa7f30908c186259c27e55dae8b091a2ec6503b8f41fc9020 SHA1: 90e74124b0cdff3ea8cc84f389df31f30a82ce5c MD5sum: e83b8d5478dfc58da540193d7d65af40 Description: debug symbols for dcm2niix Build-Ids: 09c45b1ab1e0f74464016ee4fe66647734fa00f7 2eeff5e2babe41171d30472485d2590d93d38b6b 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: 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: gifti-bin Source: gifticlib Version: 1.0.9-2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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_i386.deb Size: 23688 SHA256: 6c4e4a73290e10c9dfd2cdd1b210dfea2f24b5e6a71f56b485a5de9e0930086c SHA1: 7c61e06de317876d1332c3f4d36b973ae4fae2dc MD5sum: 029171f4646e8c5bcc1d0e3bf5bb6924 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 23 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_i386.deb Size: 3820 SHA256: 9269b78381e1343553ddd22864a90ac57b3f33b2fb75f36177f417132e456bf8 SHA1: 1c1b3c7abe6aa02ca15161cecfc21de7651a97fb MD5sum: 05368fcdcbdf186d11f3ccdbada67e1b Description: debug symbols for gifti-bin Build-Ids: 0511ec70dde957843d7a5408cd5b4b0b97f86259 a8a88271c6ef50c170cf74f2224b02055c5cdbd2 Package: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 35048 Pre-Depends: dpkg (>= 1.17.13) Depends: neurodebian-popularity-contest, libc6 (>= 2.16), libcurl3-gnutls (>= 7.16.2), libexpat1 (>= 2.0.1), libpcre2-8-0, zlib1g (>= 1:1.2.0), perl, liberror-perl, git-man (>> 1:2.14.1), git-man (<< 1:2.14.1-.) Recommends: 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+), git-buildpackage (<< 0.6.5), git-core (<< 1:1.7.0.4-1.), gitosis (<< 0.2+20090917-7), gitpkg (<< 0.15), gitweb (<< 1:1.7.4~rc1), guilt (<< 0.33), stgit (<< 0.15), stgit-contrib (<< 0.15) Replaces: git-core (<< 1:1.7.0.4-1.), gitweb (<< 1:1.7.4~rc1) Provides: git-completion, git-core Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git_2.14.1-3+nd0~nd100+1_i386.deb Size: 5152614 SHA256: faa9b6ee2af345e042ffe8e84186157f1ad7fbad8d78f2f923edbe4234fd9bab SHA1: 12f79f8747053bc526f1fa0e71c5038c9a30b042 MD5sum: c5f78f06af9b31f22ec0c40a6cd7cbad 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: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 710 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), 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_2.14.1-3+nd0~nd100+1_all.deb Size: 709290 SHA256: 07b5db19c4a38a02979d183cfdb1ae9eab573e10be427d14fa762a4d25ce1213 SHA1: f895c292300310da61f611116772e0d605a56e44 MD5sum: 1360fad07ecf231d20615d86b7977abf 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: 0.5-1~ndall+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1_all.deb Size: 7842 SHA256: 0b1d65c740ce1073ecdae6db121d304fe02c4bb95df552326894118a65b38319 SHA1: 34a2323c4387e61c4a69617150c463f9a7b772c5 MD5sum: 00c5a0407a998eba72d4f5eb0ad71189 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 7.20181121+git58-gbc4aa3f0e-1~ndall+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 170686 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_7.20181121+git58-gbc4aa3f0e-1~ndall+1_i386.deb Size: 63687574 SHA256: 78ca539add3fbfb34ba5f41dbe201b25cc7f64ee6270d6a6ad91c91534fb612a SHA1: 01fe89dd2a396f9383713527e3b50a1aa373f692 MD5sum: 2b31f2fe5dab8fa2a1e6b61a1a2d05f5 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: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1091 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), 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_2.14.1-3+nd0~nd100+1_all.deb Size: 772470 SHA256: f5e9a0b9b24be9333021b7521d987548ccdfabe2597bc8a8c73cff581998ac9b SHA1: c837049edbbf4959ae7afd104c4d0b3f3e09b617 MD5sum: 6231448041d51b502f2ff56111e4ff8c 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: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 722 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), 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_2.14.1-3+nd0~nd100+1_all.deb Size: 710936 SHA256: 12d569a037ab1f2b283f0035e22ecd6856635c9bf7221c293c100fba0dd2c556 SHA1: 376533153bb9685651364274a2eddc04430d2904 MD5sum: e3578e9bd7a4c03e0a4bd2aac1b1bbd6 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: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 725 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), 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_2.14.1-3+nd0~nd100+1_all.deb Size: 712054 SHA256: 3cab612dada663c7fb4a793dd41e947d9f8d7179c5db5c9e10eb4dcc9f7e9927 SHA1: ef41ae9d35db9630c26dc1c2df42032326d6f533 MD5sum: 01d8eb217e8382ff9931a2c99446bc35 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: 1:2.14.1-3+nd0~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 30739 Depends: git (= 1:2.14.1-3+nd0~nd100+1) Priority: extra Section: debug Filename: pool/main/g/git/git-dbgsym_2.14.1-3+nd0~nd100+1_i386.deb Size: 28778522 SHA256: 47f69e755723a600107b91ddefd55edc640ba4d75f19201b91e6c5cc1791fc0a SHA1: 8e2a6f3f1f4d55825f7c142865a581cc0d412dfd MD5sum: 1c77a30d21d0232ee1417cde379bcbf2 Description: Debug symbols for git Build-Ids: 373ecc1e3fef7482c15f12a4f160e9b0543947f4 3da7cc767f3d432a8a7cfdd84876beb4cf638c5c 4415201ba4ed06d4c37391974e109220bee6a367 4ca56a911680acce519a9cb78ba4ca3a30759d2f 5f2f1c68178805ca19c4a34d18f9c59074a062f3 8802f1e3737fca104618b80f5c39e030270f7674 8c7fca4f11bcbc78ff997956d63d9f32d4406824 8c7fca4f11bcbc78ff997956d63d9f32d4406824 9c8016b830d4d0272e10f3424c793b7018265690 a111d8f1cdf95e0524abf5d45e48db2c9a9c5ee6 a6b785fa0c59af03cd53f07a2328cedbd563b9e5 bc1639f1996a8608ab45174fa97f82124e0b3c4b c595920edc82e6405ba73b6a58c86cd3fce6dee2 cae4ce5a8aecbb3948f93cffcb4265b47757e3d7 d2b0ab122a02aa19ef7dbd794f64d06c9f599eb4 d2b0ab122a02aa19ef7dbd794f64d06c9f599eb4 e007549d5f63b0d0683a2121200da9f21ba44c50 e007549d5f63b0d0683a2121200da9f21ba44c50 f81abcc915f8adce67fef295cb5409f26b7ae524 Package: git-doc Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10519 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_2.14.1-3+nd0~nd100+1_all.deb Size: 1585906 SHA256: 2230bee85d6b29467c88498c56f40a23a19cd5e27cd3c8c84618f2ec377fcff6 SHA1: 1b6d6b5daaaa0724c6584d146c346f00ae1cacc9 MD5sum: 7e58017869e7f90258ad9639455a09c5 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: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 817 Depends: neurodebian-popularity-contest, git (>= 1:1.7.4.1-2~), emacs | emacsen Breaks: git (<< 1:1.7.4.1-2~) Replaces: git (<< 1:1.7.4.1-2~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-el_2.14.1-3+nd0~nd100+1_all.deb Size: 728872 SHA256: 9a0d9683fc4d86719841d1d04a955d226b882b6f90e4ed793a1f321e02b0192c SHA1: ea6e96fbeaad6fe19df0f273477e028a48d6263c MD5sum: 157f4fe3578647fa42c90e811b8dabd2 Description: fast, scalable, distributed revision control system (emacs support) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides two modules for integration with Emacs: . * git.el: . Status manager that displays the state of all the files of the project and provides easy access to the most frequently used git commands. The user interface is intended to be similar to the pcl-cvs mode. It can be started with `M-x git-status'. . * git-blame.el: . Emacs implementation of incremental "git blame". When you turn it on while viewing a file, the editor buffer will be updated by setting the background of individual lines to a color that reflects which commit it comes from. . This package does not contain the VC-mode backend for git. That is part of standard Emacs distributions, starting with version 22.2. . For a more polished Emacs interface for Git, see the magit package. Package: git-email Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 775 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.) Recommends: libemail-valid-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_2.14.1-3+nd0~nd100+1_all.deb Size: 732944 SHA256: 3756b55710ee66a2981c63046e1d4624e3e5e99a8e2a5877a4df4b717e5fe7e8 SHA1: 055634b2c0ed3dd0ee4b5d67c9168c092ea3b4c5 MD5sum: ccbf370a782b3b17eeebf302308e8ce4 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: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2185 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), tk Recommends: gitk Suggests: git-doc, aspell Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-gui_2.14.1-3+nd0~nd100+1_all.deb Size: 918816 SHA256: da493de86bbb62d3f7e42bb8fabe4d0104e22c45027017715480a838d22ea510 SHA1: 18ad6128eb4c94282c3e258855609e2aac0b5025 MD5sum: efb7a39fcd97e486bc133b836d3e4c57 Description: fast, scalable, distributed revision control system (GUI) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git graphical user interface. . If aspell is installed, it can check the spelling of commit messages as the user types. Package: git-man Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1537 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_2.14.1-3+nd0~nd100+1_all.deb Size: 1490768 SHA256: 60768c43ceeb870014471d13a22f3c6f9996ec4ee0773fe6b593e58fed57bdad SHA1: bfaafc6fd84f26962464848ef24237f480ef8731 MD5sum: 42d0c986fc290aa8da99bc67491cda85 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: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 768 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), 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_2.14.1-3+nd0~nd100+1_all.deb Size: 725034 SHA256: 8b3868d65dd049b699ca919e7dcb67dee520cf0e5be1e19f76fe327fcf826d44 SHA1: 2900528438f76befe214ea7c665e072f935e6e4c MD5sum: b91ef7c4db135e294e8ddefa4a614199 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: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 970 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), 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_2.14.1-3+nd0~nd100+1_all.deb Size: 795166 SHA256: f755d38a86700c5a0f553673a04ee999771e5a5eb572f840f350232b084eadf2 SHA1: fb1becb6cadf5d1f9d8257918265b4d05e2ce88c MD5sum: 416543b80967f0b0fcb3fb64c538dd8d 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: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1458 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), tk Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitk_2.14.1-3+nd0~nd100+1_all.deb Size: 839752 SHA256: 840ffc4b786104116f897d111cf15c45f295c0007ad45a9e425f819992218609 SHA1: bc8c8b621eac67530fea03d7c203104e7c088855 MD5sum: a943adebb28a641b4e5469d3a52cc6bb 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: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 732 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), perl, libcgi-pm-perl Recommends: apache2 (>= 2.4.6-4~) | lynx-cur | httpd, libhttp-date-perl | libtime-modules-perl Suggests: httpd-cgi | libcgi-fast-perl, git-doc Breaks: apache2.2-common (<< 2.3~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitweb_2.14.1-3+nd0~nd100+1_all.deb Size: 713602 SHA256: 52ef875e16d42d96d83690d4681cd9a13d2332568b4501e331369e9059aca6b3 SHA1: 183d2626a7a22854c335979e1c4e9eb58d565209 MD5sum: 66e297e14e3f97fcff4ffdbbcfff241c 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: 0.5.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 963 Depends: neurodebian-popularity-contest, dcm2niix, python, python-dcmstack, python-dicom, python-nibabel, python-pathlib, python-numpy, python-nipype Recommends: python-pytest, python-datalad Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.5.3-1~nd100+1_all.deb Size: 250356 SHA256: 476d367a8f2d2e77a2633b7f7a9c1a945e3b740aea17469b6aad16ecb7588915 SHA1: ea6060db0b6576dcba5d76a1d1b016974351b201 MD5sum: 11d0bd052234db98bf98f52d70088e97 Description: DICOM converter with support for structure heuristics This is a flexible dicom converter for organizing brain imaging data into structured directory layouts. It allows for flexible directory layouts and naming schemes through customizable heuristics implementations. It only converts the necessary dicoms, not everything in a directory. It tracks the provenance of the conversion from dicom to nifti in w3c prov format. Package: htcondor-doc Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6226 Depends: neurodebian-popularity-contest Breaks: condor-doc (<< 8.0.5~) Replaces: condor-doc (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: doc Filename: pool/main/c/condor/htcondor-doc_8.6.8~dfsg.1-1~nd100+1_all.deb Size: 1087168 SHA256: af43decd2d983deba34ff8a7c1001c7b0e5095b637b73f54f646b0e2c8124d45 SHA1: c8627c789c55859bbb2a0beb13e70523d0f3f5f8 MD5sum: 31097e9b3639054503c5b5c90bf87dd9 Description: distributed workload management system - documentation Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides HTCondor's documentation in HTML and PDF format, as well as configuration and other examples. Package: impressive Version: 0.12.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 474 Depends: neurodebian-popularity-contest, python, python-pygame, python-pil, mupdf-tools (>= 1.5) | xpoppler-utils Recommends: mplayer, ffmpeg, pdftk, perl, xdg-utils Suggests: ghostscript, latex-beamer Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.12.0-1~nd100+1_all.deb Size: 190564 SHA256: a8736010962f01e43ceb2646d21da7d5fe253f86c72df3419e3e65703111fe72 SHA1: f056d19d8fdb2167d62cdd9a56bad387a0ec3a07 MD5sum: 89a3109495bfb3dc17ac8dc11c5deafb 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: libgiftiio-dev Source: gifticlib Version: 1.0.9-2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 193 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_i386.deb Size: 49592 SHA256: 27229f813db1ba0f444e096b5dd140ec2e3d85b2ba3ffa3a760241d24e27da99 SHA1: d45747791fb03a418a489fcd429bd019d65f072b MD5sum: 922d7f37adcd3e3f54ed36aa26ca9385 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), 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_i386.deb Size: 44480 SHA256: 2bdfd3f59375cda8a0017b64321c34c9963ca1c87a56ea3219f710d1ed8dc287 SHA1: 8315a0facd1b5773ce0a3a26f927a09c16b347ca MD5sum: ca9219ce627ad0e61195550eca1c3bb6 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24 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_i386.deb Size: 5436 SHA256: 347a3e1126aa7278da0afd6e5735bc5b4190a88de3403ad36c87736a8a408d59 SHA1: 7a57a8a2360893c5d0a5c641f8362b34a75097b8 MD5sum: 9390eb53bdc05ef1d487d32b7deb1cdd Description: debug symbols for libgiftiio0 Build-Ids: b9eeb4e028cac9d6debbc7861c3a56c99d4d9b13 Package: libvw-dev Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12939 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_i386.deb Size: 1571284 SHA256: b0cf88a4ecc0422aca75627ff32d6d7cc0287fc7a6a596820e481dd587594e99 SHA1: 74fda04757e5b23a510409340ea08b74be2cca0f MD5sum: 2fef047363230a6a8b7e4ae7688fecef 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3315 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_i386.deb Size: 924880 SHA256: 0ea41db1a7820e9d95a7d8e532256217ed2c2baacf09861d28ebb6050f17d137 SHA1: 5312851059ca4e0558ca87d24dfb617bbc2b79fb MD5sum: 294c6def804bfcacd36bdf5632360755 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9434 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_i386.deb Size: 1513804 SHA256: 0c8aded07bb7b5c3169b2652c965372f5e364d05eb6f82ffc524ea8de80ab5e9 SHA1: 808a3a9873f2d907cf52173b95145350525e1cb1 MD5sum: 54c988d2559c24245c8353c4799c8c5e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 16660 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_i386.deb Size: 13237300 SHA256: d230f5919861e78454295608cbd25c511ccc3f72392ad747b9f56dac8fbae1c9 SHA1: 530a87c95e90416a4e9bc367df9c85fd9af09eb6 MD5sum: fecbc6141ebb9cfa403c4bc5bd16275a Description: debug symbols for mrtrix Build-Ids: 021812e7b75b0b3c0d56614e3a4520c6f522b2a0 03ac2fb6f302b75d605a6f8c634f2e2dfab812ad 1a13bac755f50a0f9ed9d971465e2a91e43d5f92 2a2e94c08c93159c8ace17f97cd5ff084a5ff32a 2f8d0ee325de0a355c72b03798bed53d1afcef09 365367409222220eff7358450ed84a4b4a093899 388b873e3b7ac434c441766bf44063a11688fbe0 39e7666b6aeadc21095f45abafac382b52097cc0 3f9e9cc592a2380f04a4804d0b7d019d6d45ff2c 3fe43ce376e72ebd618aad4b7b4ccc60f70ab72b 4114f86a7683a3b322fc3b4e903207a591ccd8fb 4250fda91ae435b6837471030a41be44f40d50e2 47dd01285778dac03e005bac068b9e4cc088f45f 481004631fe5baed61664501a4be7179ecb43198 5119405dc001db591788c2d84160352ccdfe4485 54392931c41d1a464c46094afdd4e5837a965f49 56084a5d3fd7219afce5a6b312246efc84161652 561168051586858926af38ad75ccdf09b5383512 566f15e6c6605025cff7e20f703c3fd533031d52 5c20bf9dd650f63946eeb6cc20ec0dd97831e223 62a1ee579c3abaf11d569ff346e34212c7c040aa 6a996ed02a388d035723d620ff22662924bc675c 6bd54cb6af34821ad77dd1d70982da66b579be85 6d3b30cd77ecf9b38475fa1ad16cd2388fb92fbb 6f87ba7e5086aa59292e660e989fb449e6b9c443 7831e271a30c81e0df2e7dc20854efd9ba31b7ba 7aa4f38bb6c4370b90c5dd59cce797da5a970b37 7e9ad90668615b493481767a7092181a4e2dcb76 81c45fecaa83e5a0adb7eef2b53d68d379659bdf 829326c9808c489305a2ec6b61ce63c6c071e5bc 96c9cd12035a70ace46f883bc53b1bd853b34aee 98232b23afa8cca496991791a3f108bd31fd082a 98bd55c06d22422b3a8cce37f462b84fa742d337 99732ad492fa2d2d4d6bbb8c4f97f3f3bc2d0834 9cefdf610090b0894b255df2d22878c8dd66eb2e b004d07b53831bf6337960200d95687d90132706 b32c9723385b0d05796efc0f22504f2d602cecc2 b58d3c91b59b21ce53a0021f40de2d5454c6ca98 b6daa67a066bf4e49c3f9984858e5d2bcfcd7d16 b79702ecd8492aa9487284369deef6faa1dbdade bce5201ce641e31a986c1a0d467898798f9a36ae d8606dbd574c80d71b4b6c0b4f34cd22c55057d9 dfe0ac21e2b2515651c596bbb2dc4d7054bccde2 ea7934a060519c4f4d74df708a4b6f2bef2eb705 f31d502f7aed80ba7e471c09a156bcd478c161ac f369e7b891c0a9bbfcd1ba2d5ed2419ab6183e6e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 50420 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.2), 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_i386.deb Size: 8510756 SHA256: 3d15bb8f2b137d8c5b4fae73626f8c0f3fd19708b2c0ae9f8883b764a05a747e SHA1: b6fe7209f52a342a7c5eb70a15dc7c0623a1985d MD5sum: bc148481d387fe156de8c3ccfb3b94df 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 651094 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_i386.deb Size: 642291832 SHA256: cad2cdf26758bfb8178cbbc6650110a8409805f3c9daaef41857f173f3643ad0 SHA1: 4b39a5bfb8673cc456617a4b161d36b243a7677e MD5sum: 208f0f8ab9c6e8b51113197dff447362 Description: debug symbols for mrtrix3 Build-Ids: 00a84fe7149ad38c03f70abf4b07f04c14b2098a 046cfc5f755d1221437c6eed6a92bbf7ceabaa0a 0541f4a6ed2d0b469e9a43e1c2fc3d61eac71d8b 054f82654acf8be4454b75f2ca0092bbbe7f2956 099dc460aa10e5d6aae01e5e3d1761e44aabd0dc 0bb12f516dfb3603a08de6d7ba182479cadc7273 0cf9642efea5813e056185d78fd7548be2964302 0dc97708f56d4b055efcfb988e7b5a633896ebed 107b94fd1413b9839738af257e5ce3d20b568ab4 1184510cf111fb9fde92eebe37f68952f06618ad 139c6279f79b55abedc15e1351537f3817e62d5c 143e931576d53c07ec6543a4a4e79ae8641183d0 145e7f8535ca23fc71c2cab4488d7b6033e2853f 1a430131480b64b05c7b64177610c00b0bc8f0d7 1a5d067ce1d016df0495681e1cc4d6fe0c1dcfc0 270fd51e9b26ad1eb254c1bb1caf1fe70d95f98b 2823efef75458a5f3329bd50a04df010bc85a18b 2bfd30e919a101f65a89ecd3738ce1c76730a291 2c9ed874c5a6c04c6b149eef46a6f9286d5ecd59 351d780be6dfe38961b2887013cab22b7f6fede6 353ab124c304ed7bdf1dfb74e541613e6e2bac13 35633f8fa105454b3d32bfdd6bdddfdc123a2e67 3d7724baa9ea5c1a0c2de08506466f5399f561a2 3e7ee55b0c6fe3ca45772b75b2b0ceb9db8710a1 41ff18d12f6695470ec93eb9b5d77ee5ab26a7e7 42d6627d3d7031f8b165dc86ae05de42531d3256 471e69934d283d445a140ff991aa3b531481b5d1 488547dd56effc20346707d3c6b81acf019db37c 4c0b8655482baf18c7e4fe50c04d386c7bfcd2d4 573836ad79bed75cf3fd85d406a1fc56f4526039 57594af1842108c71e61d4c2b78c8c5cd5318213 589f891b8e9cbf3a71d8e133532ab916bf5cad20 5977e606bb4ad2ebf444145ea7a44fb42d8f6273 5cdd6fa73bfeefd4466b89a2215b472a477a0e9a 61e32e44ad45202a6262f24e9a52a9f80fd460ba 63c827a5c2e9865632aad3ab4024a391a85bd5d5 684252c5ef681dcb7597d92f2a6ebcc74cce0c21 6ab19fba590219bc5ca98c54876f7a5cc8bdc83f 6e5a22c4a90e14ee90ae89df12863f5292207bf6 6ee34c601e4d0110d0f06d6e1e9cc39228f91794 73f5dcd63a1ce79a80b2a40dd2472f291848c480 7516830aa35ad2683adfdbf9610670303517b365 76f3512c43bf37e8476b42b398c90174b8e712cc 77795af4cd40ee2a92b2127bacfc44fb280b0071 7a0683aa2f5f7885e19b7ba74c0d92acaf271a0d 7a487a40fef4fbecca1732b2839cb33fad1c8d49 7b9dfed6379ed4f926bc1cc3f6e75a6439802618 7dc296a1049558bbe77ed9bf1d1dfd1cda7f4fde 7f4389a522db76f9ce4ac1b2d359b8d65a406719 806f0c4d17b8c7516c4b3756ca81d769b8316c97 80b05aa5a00aaeedb67b02fed02e3df056e79934 813a6182756149cc68d4713fa44438b2aec0e078 82636cf1d8a63f98dff1934c8fe633e7d2a4ae9a 8385561f1bd52959ed0ea3ca40c6c68e7c28fb21 8401862573373027ab2a8ead9ae175f50c5157ba 86d19f492822abe872227a39decfdb29ed26a39e 87049bfbf7f6cc1632717ee85f8bbb91a6e5f63b 8a64b46f85ec5b81f284d10a773f53d6b3eaca90 8aec86891836e19db0e4281eee165e84a3a42c49 8d90093110374c3e8e47f535b251869a8ddf88df 9014935b6aa9103b2962e2408a693b4eb927f831 9034f07ca5a3b0b19ae4aea11709e82e5d669275 9361842dc8b87b06afb5b8f72691fab3ca46c557 962b40e30024e5439570d16aaa3f27c9e63153c0 98f0c7d1ed243ede78b34c4e7205e4649eb2fdc5 9ce82cd59a21c36e84a63f4e4362f981258b12d7 9f42ae41983fdfa6ae128983275556ef5a9a37a1 9fbcd7ef8a3ad0b1195e9285afb15711495ae3d7 a2f53a367ab7ad09ac737043182573d8747388dc a3a0e1d8f2bd74dba8486f3f8553fd1d4eeae832 a4e5b836c050e0ca1422eba0e07e8f9c6e36e043 a4ec36d77f5a63ba40d845ff5c66b17406a643b5 a53b8f851055b2b310c4d2b63e880fc3147262d2 a7b7addea4e8586e77b40859183e0f864ee19075 a9d5e112d005bbbfaf0c8f76d7a9dae9120e2adb abca5e6efc9bdbce61417a45f3569aa064a7a0a4 ace13abc9cfbda00baf4ba6f140b8d4a2c5095bc af85d762b05af1da36e95ff72586c93400a7e02c b3f73a944b5ce602f458df4b602abb6a1d2920c3 b467fc56c95adca364e3d541cc26aaed6e861f70 b8ad1c80f9455630c816be2de1921ef60b23990b bf2bc0a06f28f2cf5b2450ed3a44ca92c7910a31 bf7903082804c6062784436ca372e03753520a93 c3365ba94333fe4e5f8f19356b211afcad5c253f c55a902593df6d14931b2deabc31616c5db3711c cd113429950626e3c17106800084969fc64da2e1 cdc92cbea39d8e833aabfe2194b52d189ea1ceed cedaaac6b65a972dbbd60ccf139a0e6d5ee58996 cfa80bdae68bd38e138064098d11ff8e6dcbfa67 d0fce492ffa2a3121632677786710adc1bf6c859 d20be714dc44564db547f105277be6b05efeab5f d2de95bc76ec19dfa0244ef480dd8f2ef3b23cf6 d3eb79cc134a254cece48c0e536d449591150cce d50ed30f5b9643da68309923d5bac352fd9cd68c d67f209bea4eb870aa7bb480e68c835ae83087cb daab3cc4bf3419bea91d15a7e8f920815da7aed5 dae00dfbde356002601f3ee7e90ca808cf338bfe db3e36e48ad5972fd7763c94ff38bc1f8463cb29 dde536ec0b08a624702cfff41e99f75ff7b230d1 e4f09c1603fcb8d455af0a4f85fcd21e066d6dae e5767ab64b0d7804d18d0f478ab7f1e52e138070 e6794bc1dd138880ab49e3537535454917b26084 eb73373ca89abf29ab8aba61bf5f2dc8c9531d04 ee9a226668d1b43e7ecd0e496ab96e434d093ee8 f7718abb6cc7869a053cbf7798dc86c790ec8076 f9954cd23832157c072cb169c2f691ee9657d961 fa1608d1601f614cd0b4013132573402d133a722 ff497b2815f0630bdd0f9d5afb9ffe5f7341d4a6 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: neurodebian Version: 0.38.3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: python, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.38.3~nd100+1_all.deb Size: 34020 SHA256: 45f24fa3f39d29031a90bf8d7a80c0b5b0f6eb373b62ad2bc3d7b20fbc164933 SHA1: e844e82eff673df365dc8520a16fa06789a305cc MD5sum: 6d52abd2dcb290d51ffb58e15ec189f3 Description: neuroscience-oriented distribution - repository configuration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.38.3~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_0.38.3~nd100+1_all.deb Size: 11020 SHA256: 04e828a637f9c84be730aa14adff9b9c09f80d40777039eaec9fa2ae3946d657 SHA1: 29b899a862d7303fa35f9220c1c665ecad7dbdb7 MD5sum: 53a16a3ab48a11e38a8afcd5ad1e4c61 Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-desktop Source: neurodebian Version: 0.38.3~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_0.38.3~nd100+1_all.deb Size: 116880 SHA256: a0f84611713c265c5a1ce2b94a7dce483bfcfb9f88e8dd1b13c1b4decff7c435 SHA1: dce0e9a88e5cba9a92750de50a207424762fe18f MD5sum: 29230c97ee565d39a4a58a8f608944ba Description: neuroscience-oriented distribution - desktop integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.38.3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: devscripts, neurodebian-archive-keyring Recommends: python, zerofree, moreutils, time, debian-archive-keyring, apt-utils, cowbuilder, neurodebian-freeze Suggests: virtualbox-ose, virtualbox-ose-fuse, singularity-container Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.38.3~nd100+1_all.deb Size: 33720 SHA256: 463e3e11fc5fa14c4fa30028559812169ba154df63b64a29da5eb1cab2893d46 SHA1: a269caeb53168f217f38c59dde54b1a563bbd9e5 MD5sum: 26d27bdcdbc527ff1ab0b9c86d2208ea Description: neuroscience-oriented distribution - development tools The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-freeze Source: neurodebian Version: 0.38.3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 37 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.38.3~nd100+1_all.deb Size: 14920 SHA256: 5dd50a0a8e02200ef746e1fd1188eb5fa4c5c33594502e97a1c026219d1883b5 SHA1: add8711c40b2fcd4af5e6eb51c28841ca3ca8abc MD5sum: d8156881b76558bffeee55c490057bb5 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: 0.38.3~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_0.38.3~nd100+1_all.deb Size: 13056 SHA256: b713b18c5bb29a1e15846ebcf7556d0bd4b00f64f18104c2af8ac91ec8130222 SHA1: c44854ea7a0ca80cfe5ac7f4fd6854d49b52375c MD5sum: b661589a5f586f600de913ef4b2488ba 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: 0.6.0.6+ds-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7044 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python-appdirs | base-files (<< 7.2), python3-appdirs | base-files (<< 7.2), python-dev (>= 2.6.6-2), python3-dev, python3.7:any, python:any (<< 2.8), python:any (>= 2.7~), python3:any (>= 3.3~) Recommends: python-lxml (>= 2.3), python-pyqt5, strace, chrpath Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.6.0.6+ds-1~nd100+1_all.deb Size: 749108 SHA256: 24a38100711dddaaa3bb460917f12c2be270b7dae5e6f1b44c79c30529161595 SHA1: 353d0cae67029c4829107d049b09706866844f06 MD5sum: 37d51034f9e2fb4d54755a104cd1b728 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-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.14.20180526.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4290 Depends: neurodebian-popularity-contest, octave (>= 4.2.2), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.12), 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 (>= 1.0.0), liboctave4, libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), 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 (= 3.0.14.20180526.dfsg1-1~nd100+1), psychtoolbox-3-lib (= 3.0.14.20180526.dfsg1-1~nd100+1) Recommends: octave-audio, octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.14.20180526.dfsg1-1~nd100+1_i386.deb Size: 855488 SHA256: 32a18f2a05a960d5760811945baabf478d72373926776a2b5a0237f0eea1f429 SHA1: 1e8edd8177799b9bf92da6d29ca2dadd109fa480 MD5sum: 1c250e1e2bd2484e8382dfb51305b444 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: 3.0.14.20180526.dfsg1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 253835 Depends: neurodebian-popularity-contest Recommends: alsa-utils Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.14.20180526.dfsg1-1~nd100+1_all.deb Size: 24276540 SHA256: 941a4475a25dfc474a985d22bc8c8eba4f8d10091c6470ede84481f0895409ca SHA1: 92e2efb3814a417cb4f1c9f41f7c7d8d35ed51a0 MD5sum: 27cc3df3058a893086f8c20d848cb926 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: 3.0.14.20180526.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 18435 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.14.20180526.dfsg1-1~nd100+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.14.20180526.dfsg1-1~nd100+1_i386.deb Size: 1263948 SHA256: 948a806be91dcf3b1e81f982006ba90ec3d7bf7e1b3cb2b1ecabb7652877b329 SHA1: 58d9cea5bb3772f016e8b70a862f572937cddc0a MD5sum: f794e1af79223cc6122a0420d9b35bf1 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. Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.14.20180526.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 177 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.14.20180526.dfsg1-1~nd100+1_i386.deb Size: 74512 SHA256: 41ec7ff076f7747eaedf889e051381235e317f5d79ae8032c4cef05cd775de86 SHA1: 47e2e6299948df40fb031cc783ffff4347b86ea0 MD5sum: 4011bbda40b551aba15518f2aace0b92 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: 0.11.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4355 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180913~) | git-annex-standalone (>= 6.20180913~), patool, python-appdirs, python-fasteners, python-git (>= 2.1.6~), python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage, python-keyring, python-mock, python-msgpack, python-pil, python-requests, python-simplejson, python-six (>= 1.8.0), python-tqdm, python-wrapt, python-boto, python-chardet, python:any (<< 2.8), python:any (>= 2.7~) Recommends: python-exif, python-github, python-jsmin, python-html5lib, python-httpretty, python-libxmp, python-lzma, python-mutagen, python-nose, python-pyperclip, python-requests-ftp, python-vcr, python-whoosh Suggests: python-duecredit, python-bs4, python-numpy Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.11.2-1~nd100+1_all.deb Size: 906880 SHA256: b5744ace7ce814cd8c2bf40c44b6b7db29e5c64cd3ff0c93979bc26ce7da597a SHA1: 4493847af3fec4dfe06f3e121906fa7f7669769d MD5sum: a1f0a5fe487dacafb4647ff9d1004ef7 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11408 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.13.1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.4), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.14.0-1~nd100+1_i386.deb Size: 1716640 SHA256: 36709855ad630c10ef18f687e1c0fa876a2d59efa0a22ad789a39d967c1082f1 SHA1: 4f69efc9d84dac537a6ab7dca2dee24baba3e528 MD5sum: 6bb987fca3757976523ada9c10641d0a 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9705 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_i386.deb Size: 8527140 SHA256: 8d6f0afb1ec6dc152b12b5190cff1f6526e10189f951bd10c589a5866bb88632 SHA1: 15413e6e3ff1bb20748519576062f278b3a5c76a MD5sum: d87655490778a15433bf2ec0b58f96ed Description: debug symbols for python-dipy-lib Build-Ids: 0216bc8af682a67b76fe451251e47ea9fb2c9dfd 054dc6178a670043d9d3f9ab24ae9797b5720245 10532f037ced48e7574754484be93b615b959c67 25f99f20b7a253b354c1a2f545783cc3c952b252 29dbb567d05e27ea0e76af05663a16e4a2f6364a 2b31dd83797bd1301413d0d6409abc4cbfcb52af 2bc2c3a9594b36c644b3de72d911d52c899b5e09 326bf3cb0c4d206570ed6fb2a01b129e6bc14b38 45f6c0f6247792aaa9ea412a09c257079a037139 6083aac9719164b6a79f9fd7dbc09414ea749838 657ddf25d0004c29376fd19e04b0cffec2d1dc51 6d0ee767ed1638b170e5c817268c89d3bcf1e0c2 727470abe331a2522e1587df04ed30e91fa1b576 7d550c5ebc41dd3da9c7296c4fe56e581b618b5e 8c49f884d92d32f2436742116378473ac0586317 913e9e71acf8782f8c3e351f997ef6276f3b6582 97556e7505f7602801a266eb0ccf669961381e22 a19515f4ff6858855f9ab5b3ed13e5b1be6174ed a6c216127872cf2cd8c96d1ef96adb1f8f71bfe8 a7953ac267d19e817a6c75806576d7dea080505c a89da3b159279ef80ba76292adb0d8d89448cfa5 b32a70f37ddb85befc39beec7c6e4fc3a0f03bcf bcc61e2f65d13948acd32d38c2988878f8129f75 c1a969f0ef3568713744edcdef37b14a21bfe915 c658938bb85a431959910ac879298abca049a926 d0a1527c51cb48b3c1ade53311ecc204bb3d3325 d2cdf70099ec525cf59ebd8152f7ad9e4386d5f7 db18cd0f0e80cd6399937172c7f4efc895c0e2e0 dc718519be713c84b8965b4d53884ff4a51def65 e06cfe9d18660d282202289932af4e145494d34d e5f3ab063fe3e2cda67f034498beb1ae53123100 e85ea9d9c19b7b5ecc13848208589b906b1de8b3 f15b4c1705851cffecda9c357dbdf7ce69d45460 f1b2c65a7fb2476481f56b4fe5cd15da10e6dedd f47170e4d7048805ec82f4a660d265461ba970b9 fa877633640edb8297a46704dadb36ae669775bd fdd367bf3f2014ecf40eabfeb3eef1af12cf1660 Python-Version: 2.7 Package: python-duecredit Source: duecredit Version: 0.6.5-1~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_0.6.5-1~nd100+1_all.deb Size: 56676 SHA256: eb246c98fa845557de640d1e747cdaf531dc7e8e3fa464fdf4a9c7edb2c1955e SHA1: 9068766f24e78938f57f181015ef3d441314716d MD5sum: 501e9c4a60704ee94752310e7946f515 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-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: 2.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 967 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_2.1.8-1~nd100+1_all.deb Size: 125820 SHA256: 641d9586b50a39a16347d8811ce80bb4f0cc35095d4b2d41c5819540cb898b8a SHA1: 142f1cf3a29de0721dbec82a440b383b805531bf MD5sum: 24c4f668da56516a30f7d94d0064cbe2 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-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1227 Depends: neurodebian-popularity-contest, cython, python-numpy (>= 1:1.14.3), libc6 (>= 2.4), zlib1g (>= 1:1.2.2.4), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python-indexed-gzip_0.8.6-1~nd100+1_i386.deb Size: 298868 SHA256: 5d9550abad302890f17ee16aea8b1e317832bcaf0d818095c3f1a99f1e19458d SHA1: eb1f98c2683456c69f174dcbc46baa4b72159299 MD5sum: 85dec2987c1b51f6df2321a64ca22f34 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 846 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_i386.deb Size: 752452 SHA256: dae3c75daee82259121ca20e0573064e381e340a71fb4a962c6e5bd131e6a3f5 SHA1: e6f9bf07ea198765661cf98223ac187a212a1ec1 MD5sum: 71cdd2cc9ba14c4182984d4745009ac5 Description: debug symbols for python-indexed-gzip Build-Ids: 2dd3e40c727217d0919f3b1adaaa864ed51a787f b032da0162dd247dfaa7c2825b6a0470fa705870 d65983219b0da820f40c6ea3e24887440891c5cd Package: python-joblib Source: joblib Version: 0.13.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 866 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), procps Recommends: python-numpy, python-pytest, python-simplejson, python-lz4, python-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.13.0-1~nd100+1_all.deb Size: 190048 SHA256: 1a9a9937535bfa550b2d6c0c83ddbe95005a872b044d43528c06b9d3e9164855 SHA1: b11a004de0380918504a4bb349e76236dd8eb744 MD5sum: 7a51b410042475b9f5fad0f2ac913f73 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-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.4), 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_i386.deb Size: 66240 SHA256: b7cca32c41f179e101cf06385f426fcfe7485fb9f636bdd7b118fc5e03df517c SHA1: c590a142df711ef7fd9cbf43843a2edafbf89f4e MD5sum: de54af4f699b29ceaa3097a180f002fc 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 247 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_i386.deb Size: 209284 SHA256: 22a27c05e77f1d25d982d2da1309ac68d0f1bd268c8572e42fa71ce206e96a67 SHA1: 90e523f227353af6825d621b3203a02e13d54c28 MD5sum: 1b10220061b6bf881cade22483e85ba2 Description: debug symbols for python-msgpack Build-Ids: 9efa356e7e3fa2231112fb905b4dbd9ba1f7fe02 a06b3d39a76fda7f41ce35ea509b0a5f3e18bad6 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5), libsvm3, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.14.3), 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_i386.deb Size: 52180 SHA256: 82350320ad154223101581e51a515a828e05bb385f3d7be92cf224832cce2745 SHA1: ea65ef17c830fac70c570d22cabe591e0d673481 MD5sum: 49e3eb8a646a7496b97f4c0d8d17a356 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 107 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_i386.deb Size: 83592 SHA256: 2a23a1db6d294a088883e9ab05a1bc0e635ff000cee8748fc4fbe232b87a8245 SHA1: 6593741234a43bcc0c5f4cf3ac619caeda5069fa MD5sum: 116b4a4041aab91c54e86c18c6c9681a Description: debug symbols for python-mvpa2-lib Build-Ids: 29cf7d8d9fc838a5f41572d423c449667201968f 41b7efc75e86a80d8c9e21d392980008e34d4de4 Python-Version: 2.7 Package: python-nibabel Source: nibabel Version: 2.3.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65252 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7~), python-scipy, python-six, python-bz2file Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc, python-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.3.2-1~nd100+1_all.deb Size: 2607116 SHA256: 7a26b73f6f9509fba5c41635b87644a17a562086f3da6ea59ec80edaf624c58d SHA1: 4b95f3a948cfa96cca8772b44f92bfc748849f92 MD5sum: fe92c7fc821444f72a0060c4595ca164 Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.3.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9187 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.3.2-1~nd100+1_all.deb Size: 1490176 SHA256: febc866fd137905f2a5b0681f9ad958d6561242b64953e111113a5c20530d2b2 SHA1: 98d41de0588f90d1b617b8c68c63b9742a2d5bc2 MD5sum: 884555e759f9736ffd57784974dadc07 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: 0.4.2-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9400 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.2-2~nd100+1_all.deb Size: 1910308 SHA256: bf33a1e6e9b19f960ca01a2b9208dc8752e270fcf7e2ad0527a66a5e78b2899b SHA1: 4577ceab97d16f4162fb68c40a6846cfa082f217 MD5sum: 195e73a86fa6832f7d4dfa9e23627dde 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2848 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 573836 SHA256: 7249b4901b9e7b92e94457363911d134ae5bee338158b458a6155c4e3bd53d2b SHA1: 358accb5399771bdc2642c76b05472880c7a9781 MD5sum: 37003bbded555059ef2601168b9eaa2c 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3079 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 639392 SHA256: 78c4a57436f9e3a1bf1d1511c240ac3cae988ee7283f05d7f50cd908222a533b SHA1: 911c41c454bb35042c8c75db1d1608b2e30aa69b MD5sum: 296739eeb67ae231a15dbee9a85ab193 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1225 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_i386.deb Size: 818350 SHA256: 44bdefc8eacaa6457d646d827f95cde247212c3fd2198cf7e0ff914c32e81ec6 SHA1: fff9b5f3e82a2f1fe37d611d374dd702b2d4d4ee MD5sum: 338f41d6fa837a7de8a8534fd59f7860 Description: Debug symbols for python-nipy-lib-dbg Build-Ids: 27016059ddb559b960178ec0808013af6a5f0a52 30d24c16b7be8ce821410f047e2bd756d6116c98 4563f302b3ce8b64285523ef67eb25c64eb6802b 49f2de3f2c330f3c4127a1260e9768abce3380f8 5acb45f4023fdade691db0a5de34427433d47e2a 612987df10ea814d4d8ae97a2912c7b9672857a7 867b7e65fb5d01f818bdc189316390431f2163d0 92d475fcdc2c08d93351af7fecde185bb7008ccf a770cb5c4311cbc09961a0682b3ad6323a05ca2a ab354c876670beab7225d81a583dac2e82909ecf c708ec926e759ab5ad2337d9530f6fa39cda27ec e73f8612faa6770bb2a4df3644d9cbaa68b87542 f6a43ab135978def1dad1d0cb20012329caf554a fdb533f6e9c57c26f152007b16205fcb7c27b049 Python-Version: 2.7 Package: python-nipy-lib-dbgsym Source: nipy Version: 0.4.2-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2627 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_i386.deb Size: 2309484 SHA256: 79adf2da4ba812576f3e3e46b6e7e0f1ae12ac142e5dbcfb9c5c4da4baf69001 SHA1: f1f2d1c396472ebe43462c48191abbf27c247b9b MD5sum: 32cb47c42056f770c3dc1c9afc81293f Description: debug symbols for python-nipy-lib Build-Ids: 012224cca1d4e257ce9cf3215d7c9c4ffa4a7885 148db536a63faa9f966ef967a405cca7da021672 16d5e438445e6550a0dfe90a34490b537eafa411 2de248aa483b2f25af8a825ce844b4025d8c8c73 3070d9ac78ee9f4b907be5ad7e89580eff3f13d3 445f5d86187eca091258ad9b9559bacaa6bd64a4 576f212bb8c315152a93caed44bd512efaf3cf16 60b7036a40caa4355fbe528f8d0fc5bb9aaf7e5a 642623c6376185f5038b38fac494b8cabb3d917b 6547b6c4b6e93fba5f5ba81159e9b013470802f1 6d2ddfc9d063e22702cfdb8fc78784a5b10a0814 91ff1b50e05cd555c8d9621bab5e8006649d4692 af2268aea9037ab636856c730c0e02be4b903a56 cfbaea784261af78ccddcfe0329a7ee088d361a4 Python-Version: 2.7 Package: python-nipype Source: nipype Version: 1.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10985 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-concurrent.futures, python-configparser, python-dateutil (>= 2.2), python-funcsigs, python-future, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-scipy, python-simplejson, python-traits, python:any (>= 2.6.6-7~), python-traits (>= 4.5.0) | python-traits4 (>= 4.5.0), python-psutil Recommends: ipython, python-pytest, graphviz, python-xvfbwrapper, mayavi2, python-mock, python-pydotplus, python-pydot, python-cfflib Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants, python-pytest-xdist, python-bids Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_1.1.8-1~nd100+1_all.deb Size: 1890028 SHA256: 35a73849a99c52f81a6c1c999a21e35d5ab238e0ce26e115f2a1cf74495c19f5 SHA1: 7823ab91b1fcda9b48f6de1abe5124927f40680e MD5sum: 8eaf3cb0acbb66727ee1a835271133a3 Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 1.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38940 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.1.8-1~nd100+1_all.deb Size: 17699052 SHA256: 1c711fbe2e0d8798ade257187cbe02556421d22fa2698bbd9e72d10d4fee2213 SHA1: 21fb057d12e91251d58db5162a4891ba26296ecb MD5sum: e352b45a2348fd54c7aa551e2a7dce43 Description: Neuroimaging data analysis pipelines in Python -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-numexpr Source: numexpr Version: 2.6.2-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 476 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python-numexpr_2.6.2-1~nd100+1_i386.deb Size: 130082 SHA256: ac03ef0809b182524a469b565c321058d3077e13693f0522bf521c79cc1b7660 SHA1: 64f00f39af5ab46af6649fefa3d38d6d0b73408e MD5sum: 0a44a2285fee7ecf86622efa700f4caa 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 240 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_i386.deb Size: 212170 SHA256: 6407430feb94ae984707692a76cee2ba772d333b6acc397c466fe2432d24e003 SHA1: 59ccde14a7cd407a21219e4e6f5c4ff6a1295abc MD5sum: e553aa6302189926f4428d0e412de6ef Description: Debug symbols for python-numexpr Build-Ids: 0fc2bb738ecec6d778fd42ac40b5b398c086d225 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 16575 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 2816416 SHA256: bc11dbe0203a435815b1eca96977137f83f10ad25bce7e8d7a358c7db319d0cd SHA1: c12b8836e357c4291f8f5c243d2fd25f4e9be160 MD5sum: af47331514e699b2f0e39907ab35d2da 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13583 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_i386.deb Size: 11997380 SHA256: 03e339c00614d303430bd3d5fd4411f387b373c0beec9c4874b00079251d3e0f SHA1: a1f257c18a6d4955f62d700dc6a6a4ba959e5f90 MD5sum: 32c8a48818687103b348292c2cf2a9b0 Description: debug symbols for python-pandas-lib Build-Ids: 03edcadb1b7977bef8a82e12aa104ca21910cc0e 04c40ea76427ca5a3d4cfb20450622bdad8f3c6d 0d314b997424690a3f2c758624c383cf76bf51b1 1b6c00f6c8a19d0d0ae782dadd025adca6bf2fe8 226266b5bdb24def96a06bc9dce1e4d602df454c 281d6a339d72dbf4f4d7938caa2264ba553bf25c 2910c6eee6d1b9eb7ffa5e1d22eb4ebe994a1609 2bb97238fab1184234bae28f39e73b6f385f6fc6 389859c6e2fb707ee9805c842438dc91585cc82d 3ae471e51bed1150701669d1853c98a693b24bb1 3c47a9428a9b45dc14c529f60af13ede8f5084dd 3e2eb6826ea6cc2a34ccb487694a84d09531ee1b 3fdd9d4a4be4b74d0ea42207bbca75f19aabc4b0 431b77f7828e1cc9527c4d37537d2dd90990dad9 4b9c1205e39dd7fa76f32ed764355caa0fdc8012 4cd2eee6233f519d252d060d7e24245b6515dd2e 51d553fa5fbe5c44924a948259ca1ed62cacf4f4 5c7c23d4fa519eb42d360cfca13a6b0e334c9269 5dda7966161a42dc322fcb6d22b20b671d3b27e5 5de540795d40c7a06b1b11025e39c50ed108a332 6453130809e3ebb2f2b4b20fbc939163ecd2186c 669998b17290e7bfe069caff3cb822fe1f9365ed 6f0d9b09e12f631b6ad3e082dc283752e7b1b531 862828e7f75a795d3c135c5cd0cfff217e25fab2 8c5a753f903ffe42d85aa2366da3f67ff17bb627 917037610afae6876d121cc69d42207148795109 98094f9b3a48fedc92db068e5c28f7ecec3a810a 98223a20680e53b5433bf88798eb70c8a831bb5a 989b8b043a758e261d29ba81dc9fc9f9c738a1e3 9b88e2685a90c41b4a059f5564d31eea667d2114 a95daea6b38f5e4eba5aef8fe32cbb445f18e09e aa929b5cdf270c98025e7f9555c8b58edfad59a4 b44545024d4eb911a36b63ade84ffe306d6c09d3 b991d0b7ac161fa55202d09f578f4b9908198b3c c742cba485bcdef26d33e575a02c243b63abf5cc c947c59c11aab258415ccb9babb9fba3871f074a e35f8b515595f34752c6f59114a6ab8fc6864f95 e524c6e41f986b98be148c99306e70ac70d01c05 ea0c6657cdc1527f77eabb7886ee53718ed036f3 ee78e8d5787fb69387aca026d2864e7366b02c14 fa19002ea15c5911fde32f9b65cb2dac996c5643 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10637 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.4), 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_i386.deb Size: 1400388 SHA256: 1bf418c508194e5a85f4b1b11781d88428f119ca8212fb6fff2e92544b48a1ba SHA1: f5633c3a36839527c5beb329d8663107d4d8bae7 MD5sum: 9314e9530b43f77d81ca5a33981b6712 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9517 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_i386.deb Size: 8192420 SHA256: 2098d982ed4b8d872300678d182a0fade1238dc9fa202390776ba7e261877b81 SHA1: 103008e2bfe2a2bb36338ce1015c5f4a0e14d040 MD5sum: a2281781e42408150771f09ac45049ee Description: debug symbols for python-skimage-lib Build-Ids: 14862cd96929b2c4537f657ba7529525a703a3b6 153080dbb27683ba9ad1e59681cff44632407896 1e8c47e1ba57538a22aab59a2d6a39e7edcea4ee 216d9a613d42913329e81b92fabc32e1c9ba852a 26a49a07a39d06c9359fb00992758bc38c4c2e11 2c6aec5b384840fe6ad8e9095bd5fb960c627f86 2ce1d88d7a3dd9a01e8867424ff9e97b044af7df 36c22444a0c42c7964b3fcb119e7ed9220ee89da 3800a77b69371d160983c651ddcb23ee73b3ab4b 3adc053f8184ed175cac58365b8f9cd5f5dea835 3e07e496e058fc3fee7eecffd1001c66bc77d7e4 420a7ebeeee7a3300b03aa99428c4be4c3b15157 428597ebaae71f5616c3ab27a84f3f357e8ce5ef 459711edd0a79c629b1372df87eede36f80de4bf 47f83ed7cd5cb330681cccc624f9e31ca74b7ff2 4c45d4a7419787012bafc5e6f900db39f881125f 4e262ff0272b79e18b004229c06e818c62e17a8f 4f22d8d19ced31d675fa25c6c027538a0a663346 6d799ea4726cbb5e6855c1932a05207d65df8f42 6e18c140325abd7be13f0c5406d4630e4a2613d1 72afe592f335db778bbfef7113782e68653c4a76 73926fa289ace9e92361f65683078547c9128c6c 73f7d9db496ad124d4b2e16d7265162e2f528bc5 83aed86c07fb9198956bd44738b77cc5656cdeb5 8741369d6448dedb7ff99e98df44c3d7c624bcc3 937157276a0fd40aaee12b633c29e07e14f78528 9d4b9e7c7f09c8933d095372f6500d07b58f70c2 b17dc9793a6acc1982de705ce577072b75b3f0db b32fa361c224750f1ed1fa477f8f2cd3b56c2a3c b5d8c7f3577cae4e946a248bff31cdf45a824eb3 b8ab078dcfd5c7a085e017807234e237fb158180 b9d9faeda0aa4fd3d89997b86d9b6bbe992c4942 bd41a4144445dcbc239cf93ccfa62505a414aac8 bfb9439533649370300bef112063bb0885e17292 c26993ab9b970c101d70f9481ba4f4aa2ea1dc70 c6e53bebddb62b469d075746cd2447619e71a06c c8e61a11256229f5278da2840c98b16f69beecd8 ccdf3d4d5bc76fd0fcfd6fc2dbf9c56fd16039a4 d4cc03a279a6402de9442be873dce41342f10e5c dd216402791463a18625ea128501b1122dd61567 dd7aada248299c6b372854c5659f73cf5a255454 e8f168aee7f626357bcc5272233a9b7462a58671 eb261762db3b60fc2ba41ef8117c9dd9612ed3a5 ecf21be61647f7a9516af9ec79811715faaacd5d ed69b6ec5803e50a81ffb955f2b99a6c2539cc8c fd9147aac332ed9d8100b7d78098205fe8da0d63 fe3737ac212207ba11cc61af7b2154d6e7e41795 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: 0.20.0+dfsg-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 87570 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), libjs-bootstrap, libjs-mathjax Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Built-Using: sphinx (= 1.7.9-1) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.20.0+dfsg-2~nd100+1_all.deb Size: 39856324 SHA256: a6c4a459b44ea010ef970ae37f0aafb44607e0188aee2b32e431d93818f9c0f3 SHA1: 6945e0723c32df36563b06dc427fc761c2be1f9a MD5sum: 20906b6d55cf31aac83d037c49b8095d 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7362 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.4), 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_i386.deb Size: 1352220 SHA256: bbeeca7a230242ed87918ae3963d944a97246ca587034ae7e7315457cee526c7 SHA1: 675fa7c8f4826e6c5cc51c04940932deac480f9b MD5sum: 5495f43bd5a33f975d01d281310a6151 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8653 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_i386.deb Size: 7728508 SHA256: fe626e6c3756ba69298ed4265135b85a8a2307c336d50fcc75b0e6aa5a601bc4 SHA1: c3d39586e1ebc1f9a20fb3a3b8ea83f5dcc8202a MD5sum: c73f6258be1a69c497233eff28203b7a Description: debug symbols for python-sklearn-lib Build-Ids: 0796a8c11b34f223046d14d2b448af73aa9b1793 081c0ebe03450a5860878340aae94d10b0d2497c 0864ad70697b2151df6b8124629f55999a770c41 0df5a6c34db1d0af45d5e2c7e9e3aa9cb7141862 116b3b74b367549f746939d5906cebda4bc920a7 132842f070f82e7b5dda9f965cca0e12f9a3af85 1d993103293bc1e8d550fcdcf5d3e840739cde48 259d56144a0bcf1e3320ff82eae6461f595e65a2 27d1361c23ec8bea5950d389df9fe5be8976cb01 34d3287dafb84179d612c98cad03e1b09ef04a88 4032039616e5e9bd672772c59c56856f81cc663d 41b3794a4f92512cbc849ff8e2eecb4f428188cb 47b8e1aef4531852905e73f912695f7e17e6f5bd 49ac1f791631a4aa2e65da02f0d79603195eb93f 4bf7c42569b0a89a531972c74d242193594448d7 5beb95d1458f7dd5f1bdeafd0355f4b77200e2f9 5de62a32522a9e492aec9af8341f03d03c87e65e 661207efdf8e3a07982da1fcb42c9c8799f0c2fd 744955e0f0c8dd2b4ce63f1de2de597678d80115 7538306fff2dcf68b06a73ad4d9d12235314d455 82e11196d64060393a9cb3d3ce2cd337e9ee9f52 92d521ebdcf95d15f827646a767c8e9d0fd4e1f7 a032176210de326dc7bea26174f53362be67537d a2c48f66eccc327fd17cf3051ff26637b37ae0c5 a5167f44f05cf0e59c7932d2ec400210c45a3c29 a8b277ab4084ca4d1e6e39b7325893b15d5d2c5b ad5c1cccb991bc8ec0c1c1217d7460b953e3e594 afa7d464641e76d7b9688c78a30ac0ceb65bb0db bbdcd36158bdaf9e5f25a3979ec24eba36765127 bcec07427ee5a97fdc06125a88b229360ff26a0b d49d4942d681aa4a8eb439570c8329a373f7e59c d91d2942ab7fd764b078369b20901802da730c01 dcf1f6ecd7d6ce4883bfce9839c07b3141a0820b e6eb1087cdcac74973a29ad0bf9af745d70f895f e99c1f046dc0f44017e50c45787512c56823049a eb55bc0504df7e12dd6a2aa662a16d6d459edcf9 eefb0dedd761b7e144780d31ac00bf63c4ac92cf f8b159ddc0d2f8864ddba7bac49fb9a9db5a9d29 fc51ecb660f241b0c83e2a69ff1ada6e1b5a8ba0 ff239f457f5571366f741ec6ca7012181b92bec9 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-stfio Source: stimfit Version: 0.15.8-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1458 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 (>= 2.7), 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_i386.deb Size: 506716 SHA256: 3c073432a29ea491a8e70f7b696ebfeeca6de772bea5a43cceb5899853ad7a81 SHA1: 3a2207a3d3609df2bc44c9c0b8d7367cc9135346 MD5sum: 7975baad14841ee35aebe52c08fad221 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 124 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_i386.deb Size: 32712 SHA256: 91956f93da19da318d101d6f3a70002068d1249b3e86d39c067b264cd4bed07b SHA1: 767735c355e187a957a2ce3627e00bfed9293ab7 MD5sum: 26a931a7b33aea9502b0d7bf12badea8 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 44 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_i386.deb Size: 24728 SHA256: 840443abac4beee68a6f58a2af0cc4f73032137b13fd578d4a4b86d28343dbfb SHA1: 9ab61b7d9398e6431c1cef44b22c72c75d9fdd43 MD5sum: a7214b5c4f434ac4e128fdd56795d18d Description: Debug symbols for python-wrapt Build-Ids: 7072e3bb8986191b1b7517d6d90728230c1fc4e2 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: 0.11.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4355 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180913~) | git-annex-standalone (>= 6.20180913~), patool, python3-appdirs, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners, python3-git (>= 2.1.6~), 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 (>= 1.8.0), 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: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.11.2-1~nd100+1_all.deb Size: 906796 SHA256: cc8e23a3d6bb029253029109770520bfde388aa31591c2e3e887a32da01db785 SHA1: 0a33f5e9645b48719bd0d6bebaad2f6563f0d4f8 MD5sum: 1d9a5a2a623593614ea60e10b123cf85 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-dcmstack Source: dcmstack Version: 0.7-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 186 Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3-pydicom, python3:any (>= 3.2~) Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python3-dcmstack_0.7-1~nd100+1_all.deb Size: 35432 SHA256: 599bdd6a7203a8dcf1f6051a047201ebf8716e27e70c52668bb83cd840174959 SHA1: 0242a3ac29a03a4306c64a4dd838a16dee7f1e46 MD5sum: e2bf36c20578623169e4a5642c940263 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-duecredit Source: duecredit Version: 0.6.5-1~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_0.6.5-1~nd100+1_all.deb Size: 56936 SHA256: 04f9204b48bc9628048c4cb8c3c6aac7502d851663bab248a305b0302df8dc62 SHA1: 703cc01f3267b4feed4094d19c47ee7015363721 MD5sum: 452d785aa9a3027dbf77cf53ea381588 Description: Publications (and donations) tracer duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python3 -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python3-exif Source: python-exif Version: 2.1.2-1~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-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: 2.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1651 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any (>= 3.3.2-2~) Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_2.1.8-1~nd100+1_all.deb Size: 303392 SHA256: 017f8fd5bc0ff2ec9720d8fe1f0e8160ce279e17ff94144244a4f6ccdd388b78 SHA1: 6287e1cf0858d1eb03d147e3046a1c085852f04c MD5sum: 7ef25a7556eedc0a1424b8480e336ee7 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-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1256 Depends: neurodebian-popularity-contest, cython3, python3-numpy, libc6 (>= 2.4), zlib1g (>= 1:1.2.2.4), python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.3.2-2~) Provides: python3.6-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python3-indexed-gzip_0.8.6-1~nd100+1_i386.deb Size: 310224 SHA256: d71102bb1aa638074d47390c8c3da4ab9d27df59ca4c9b1ab3ea86b15729c7e0 SHA1: 441efe250898edf3f8e130bf4bd0dd75f1d7f94d MD5sum: 59db032f037806643571174d474fefae 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1103 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_i386.deb Size: 1016632 SHA256: c3f1327fcf800466ce9e511bc8efb70cb2fba669de97b2f6e82039d7d2d4e0c3 SHA1: 60ab936f314961917609b261517330ad0f235734 MD5sum: 899f28efd5b7082f1d1bc4d4b2f28f77 Description: debug symbols for python3-indexed-gzip Build-Ids: 3298777f19ce2f50880d262e6fbc9ca9af8f1981 bab87f731616ca10e375fd645335a7ebc30f1e73 c8f0e5e3679191dc243e2303ea89c434cfd3a2db Package: python3-joblib Source: joblib Version: 0.13.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 861 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_0.13.0-1~nd100+1_all.deb Size: 186976 SHA256: c10b64c536590581cb40d3b15015e0bab327fd348dedf04a594cd4fbfa836c04 SHA1: 70f4f8cea274d19332ad6b1a5138ff16e706e0d1 MD5sum: 1d89f301c0e165901075e397103a224d 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-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.6~), python3:any, libc6 (>= 2.4), 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_i386.deb Size: 66520 SHA256: bb5e36b6f965c377b87051238f439b14e387d633404c3c16a6d84024736fd595 SHA1: 2b06363d1f6ec881065aab7cbce3e3cb41aac11e MD5sum: 2992d3e46fa278f3420dd9116528d54c 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 269 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_i386.deb Size: 232748 SHA256: 1e8ae1edecde20615c8342f87d0a8b9a368c6c34d50e33c28fa162d47dfa4a84 SHA1: c82811ebd10ec89550d437b0ae37a3190390f657 MD5sum: e3235710ecd25e66cab111029487d8ba Description: debug symbols for python3-msgpack Build-Ids: 51864aa743cf84b5fd0dd59c62084c6d2b79ec3f ec1f39bd65645f95e710953ec5398a6941f2c0f8 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-nibabel Source: nibabel Version: 2.3.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65237 Depends: neurodebian-popularity-contest, python3-numpy (>= 1.2), python3:any, python3-scipy, python3-six Recommends: python3-dicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.3.2-1~nd100+1_all.deb Size: 2603356 SHA256: dbd72020555b11b4e5edaaf38ff938f039af381c608144f220b2164a7d7d1ccd SHA1: 2c426c8a9d219d38f859f74009e92a78ff9a9ec5 MD5sum: 96de4220eb71d96955323d0b97a0ab4f 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-numexpr Source: numexpr Version: 2.6.2-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 778 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 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python3-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python3-numexpr_2.6.2-1~nd100+1_i386.deb Size: 124610 SHA256: 2ebaa0c84d7520cf41ad732ca3e37b40c33c2342a6fe36ef6c06fa6570773f4b SHA1: 5dc16c5a2ce0bd11871cfa9b863d0ec9af348b06 MD5sum: bc39ef599f93843ac086f2e91b10cd45 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 486 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_i386.deb Size: 357502 SHA256: 888c266a26508f4d07c4d12f757cec5da0df1595fbd04dfc080ab2930699729d SHA1: 4e284d3cd9953b243595de9fab5e5ec4e3bfadd2 MD5sum: 813fd1f4fb9ef0a7a6646e248e825956 Description: Debug symbols for python3-numexpr Build-Ids: ea00f9c6634ed273044612ee01220667f2de8569 fe7535b0aee9ba9db5c7eac11f56af75cff0a4d7 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 16584 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 2814584 SHA256: 0645fad1408e155b2c525ac67603fd2a1016e490018282a0bdcefa5ed6ca994b SHA1: 3af1413cf1a2a444852b55d210af99fffb125d8a MD5sum: 2ad314f7debddc6f8795441c976e7d8e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 15523 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_i386.deb Size: 14018416 SHA256: 2e644d9694df0f853d1c13aa2a5f0d3a4dc1abdfce220d48df41c7584c03ed92 SHA1: 9f0525cef29e7ab0df74ecacaf92e24e2b2f0420 MD5sum: 601e2e75f28853e12b5818485f03dbe7 Description: debug symbols for python3-pandas-lib Build-Ids: 09c8ee809e172b08ab1c6775449e24046249132b 149a7030f3d166511bbb7b16cff94693a353bcec 16d6968b6fa87034acf42c960bc1e9ea6b5244f8 24043d1dfeba4ba6e64bd899057cb26153d54ecf 2780db788955380109f52e9c07eb6c13708fc50d 27ea26f2dfc8d4e10fd7f99d3c6b0cebcdbe3d4f 333518f4e4bb1ef24f876a5036224d4a9102baf2 35267a89a32a9c734ffc18d2cd44c916fa9f8807 3d03781484d0b7500393b3a9377a3df90e3a7ac8 3d69ef2c62342482c6027c488f1c828f3761ed01 414d33a179520aaaa61a7c59d55fd018760250d5 4aee7c889a2139133d26c5a545b68a8d57cf2f34 4c2894e3a2e61ebabec0a0a1bcab4aa6005e7e79 4f033258be218a6aa25ee48f68ee21cbe0df9928 5856d339a69183b7f03d8c64d77a0095057fec4d 5b43ce8b90546ef0780fd81c6ab6446363725974 5cc2eab566ebd81179a2977cf197114194fb38d6 7427829d0dd610d898e9e5ed5d5eeab3484df155 7a57d3d3da663a7beeffc2ae2980db2b5bcbc328 82788a6dec1a437ae506ef40d014c87b32ce17e2 875b9a4c4427168ba5a2a1d0a9caaeeb3250bc75 8aa0b6d9efb7805e784e53e7054bb4a2f8fd9659 8fad94c0ecd82a7f904e2128565d502591c9d080 959bfdaeb3fe1ecb44f44596f2cc7125e4572849 9a953cd74623fefe1bdb46d400b6db31aa7ed5a2 a3f62f37fe3d770acc0c733b3c71785c27ed2d18 a52ffe82ed79151a4094147f490bf535a07fceaa a99c8f11c18f90ea6903a2d0fdff00f9b2b3b7b7 ac8b0e5f989c06e023579341fd73ebf9ef85d887 b120654a5edd3022cf672bafd116738cbd357ccf b625264026e45dc9952cfbdab26b87b34ea6e99c ba1768288a8bf9ae19c6b48e5a8cce5db8ce1d65 ba74b08c416910805290cf4264640cf74ce65ad2 bb512fe8b5bbc1b8511d27a9f61b3600651119b6 ca0a4fb215f319bd36d2b2f1e73d95091db3fe17 d2aaf80626913f38749bd4afb9e0a14a1deabe85 ece44abb5cb8cee31cd6ac8740e6eb19be60e822 f4ec18064360348783a7bc8453250f8a262b01d6 f69991c352b3af038444439a5304a55dbfb253f8 f8dbbcc684820ab17ce0e69d49f1eac4d12c0b2f ff27d723cc3e5ec544308f6d8e7116fcf85e3d02 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: 0.5.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 687 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py (>= 2.7.1), python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_0.5.1-1~nd100+1_all.deb Size: 98168 SHA256: 49a8227c96d4c27bce3d460624d634f57cdf46eb2d67ca7fd10788d7e5ae9f66 SHA1: 6ff3e0453c4eddd854c36fe8d3d2894a04779db3 MD5sum: 6d3d2ff4e02470fee650a2df95a61e6c 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-reprozip Source: reprozip Version: 1.0.14-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 171 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.6~), python3-requests, python3-rpaths, python3-usagestats, python3-yaml, python3:any (>= 3.3~), libc6 (>= 2.7), libsqlite3-0 (>= 3.5.9) Multi-Arch: same Homepage: https://www.reprozip.org Priority: optional Section: python Filename: pool/main/r/reprozip/python3-reprozip_1.0.14-1~nd100+1_i386.deb Size: 46888 SHA256: ce30c5549fe3bdfd50c3edc2baf35a9780618901e4dc24bd64aadb3f57e12540 SHA1: b0a6f791d8bcca480baf79b75f7816a95eeaece7 MD5sum: 2a00b8703c8ff8c306df8518a4fde325 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 226 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.7), python3-dbg (>= 3.6~), python3-dbg:any (>= 3.3~), libc6 (>= 2.7), libsqlite3-0 (>= 3.5.9), python3-reprozip (= 1.0.14-1~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_i386.deb Size: 111152 SHA256: ac8f64af925b38c08f47c5d5e37b8289352d071bfe7c7b9b4da71cf3730fe387 SHA1: dc24e2eea768e316e8afe790adb55390bf1177bb MD5sum: 5e54a6b507f95c3cad98c4c54b53b640 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: 56137492e96bdfe525e06bf4f03a288563e482c4 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10161 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.2~), libc6 (>= 2.4), 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_i386.deb Size: 1331444 SHA256: 622d4ca92b6c279e6110d5267a76102175405fcd47dbb2ce6454ccd875faa050 SHA1: fa559a007928a81ad92b54d41adf2d526bfa1a79 MD5sum: d4b195127e0cdf828ed5681138dc3117 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10067 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_i386.deb Size: 8759876 SHA256: 1a51cce18bbd9c9f17c689e5647548e4d5d9e49910346a973669bdf3564b37a5 SHA1: c4df62344144034f8dd0ff83e51c3ac14780b931 MD5sum: e6bbca94024793cda5fd080498eefffb Description: debug symbols for python3-skimage-lib Build-Ids: 1489adb95fa882b9c5587408bd8fdaffe4a7d6fa 18e776e02992c619239c27e75e1c719eb6372c90 1b9f601918ea5bfcde04b8eda4fe18f253a56d02 1c24080f5621ce3825fc10be2c657ccbfe352390 201f591f065482990687792e63b33741ce390211 23a65165092069d3ef59d0f327093cdea68d4693 2549547ce6dcda6c86c387331adf9f8e33385ef3 260e567e47604953ab01b5721c414d0a582f6371 262f1e617dc446dec5e32e253b6a09b9d4e81958 26baa31ff7e8b16aeb20b2d8002b549ee8c0fa64 27c07a9aff681c7b08c68290de05dd1d6f489800 2c37f8420b8c23a527be0914e49fa312e77db335 2f996ad004115397514ff4829b3ca9f7efba3594 3a6e3177b53cb31d0d08cec781c1eae1e50ea4a7 4141772adee21c614a6d0f9713dab3c8a3daa980 44a172fcdeb7306c02e079ea6a0337b661401512 44f7166b44d32ae19d01c7af1be7d2eb11980816 45a99ab9b0a0f00172f873ea5a3caa0b2a5d266f 501508ce668a5730e02f063721128857a5b95df8 5267dd50d6c080c0005a0df93eac2f66bca44947 55be73c7e2d10fd10ffdeaa3d4aece6b43d39102 5a927decafcc388ff43c6c7a8a30c7a32f5ccf15 5e0de8ea00267509fd969a066f661d93e9fbe934 6a48a729ea5eaa5b0bdfcaf90c948d9da5cc8fef 7a0a6abbcdd515290cf38d0faa73a517f4d33bce 7f1ea6f05a9f2272bd524f6267e58673ebfab85d 82cc3d07623b83b4286e8f8744d70d9c6777a76a 8656fdb8fa60d1fe933e23d470b997b779261a87 8823aaccdc3b9f760e7ef80f7ff89314f11e675d 89c8f6579310c3a9b845a96ddf1baeea92b67b71 8f20d9b779c91fd38f30fdb2621115c3cbe67efc 935562c9c705bd9a82297d7b33bfc7e2ea8fa46a 940aa7edab8caa191b299888afb0ab015cf64ad1 9419c68c87c2bde2bd969c7f2163b364ce249b9f 9558b8e9467b5a946754f40ad34401e84c613583 9a0f6918042ff5228de67b95cad2886d14941c4a a01e0c55834218c5e124ac168482e15b8aa178ce aba150d5f8a26714f01d60261e03b965919d4057 ba44e10d80d18801da5dc2aaaf2efea6a7efbb25 c314c85c277bcfa8a8faadb3c89d7547022c0fa4 c83f1eea3694129a4c959c6b6585dc426d325485 ce1cd0489582b790a4181f722538835a1e112e72 d396adde7573318f4b2881c958635a870cf0ce2e dd022bf7d431d3affab767b9929232050b54152f e1d28b3526fb7818b3c9fef8cf8c11a6197fb756 e9c18c039f5e07a101b1a81225cd4e5b6d8662e0 f591b93b30b7be711a757bf172dd10c08b007233 Package: python3-sklearn Source: scikit-learn Version: 0.20.0+dfsg-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7539 Depends: neurodebian-popularity-contest, python3:any, python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.20.0+dfsg-2~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_0.20.0+dfsg-2~nd100+1_all.deb Size: 1517200 SHA256: d09a9deb1618593ef34c19059f0eacf709c4e9c6006e105ce8ed47a8526c22be SHA1: 4377425bc38c82a7c0f20abc82bbc605f80c3408 MD5sum: 9d18f15294b12c3249a2ee950e4437cf Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-sklearn-lib Source: scikit-learn Version: 0.20.0+dfsg-2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 14137 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.6~) Provides: python3.6-sklearn-lib, python3.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.20.0+dfsg-2~nd100+1_i386.deb Size: 1786800 SHA256: c245132249f4e734d5a3c7e170b31f026caf29201bf47d5720d2e8198a002446 SHA1: 326966856b44dd2fdc1a2507574c0c30dc125340 MD5sum: d41b000169834022b8fdcbdc88feb758 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: 0.20.0+dfsg-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 18508 Depends: python3-sklearn-lib (= 0.20.0+dfsg-2~nd100+1) Priority: optional Section: debug Filename: pool/main/s/scikit-learn/python3-sklearn-lib-dbgsym_0.20.0+dfsg-2~nd100+1_i386.deb Size: 16696788 SHA256: dccf2b4e12c99bbc58ba7b8477b8b860a8833ef21e20c280ce22c14974d3cf9b SHA1: d3052a9502d5b7da8e8f79c3e439fd57a0c68c2b MD5sum: 279f5c75b2fad5a337b2317f105c454e Description: debug symbols for python3-sklearn-lib Build-Ids: 03a041781596a6c0825984b917b8c766b01ab78d 03b220d673c2eaec8062269d34e5ec2444bed327 04a10eba8b13c3631e9deaeebf5cca6ca8943890 0a7054a2a3ec7b0c30831a7cdb4f05148c41942b 1872e1b93ef3b64a9534523707d0a83cea5d2629 18bc0eabed62f89dd3bbc1026c3b2d667ef60d24 196e97b5dfd55678f08f668ce25a9f3b580bb72d 1adfe4c3025898e552672e47cfedbad08e5709e5 27795485769829693ab4a674d5a4f787e6a3d3d0 2c5f42eabe06d8541ace263ba4261a437d88a58e 2d4f7ea553598d2ff74352568e2b69837470a130 2e156153775891b753833406d67d78450a468f9e 2eb4a72b0a755c8e16896c4c38f7e3af30e16521 355f9b146ca30c02cc8fb478d17e4cf27c177513 3b1d3e9a38a265f258c5401a6a0ee2d37ae9b64f 3cc10b03b7d114e31fb68d76e757899b8246dcb7 4710a0343de09f89132a5a95c5587be9fddb21a6 4ce1611b0282fc8374a6c51ef3d12f3c6266fa89 4fbe1e4643c600821bc9c959966f7015beca5706 523affc18e2746adf82738855067a278a401a349 5247ba440f757526f912b23ee1dabab2ea73d66c 54c160e5200a7dfa06429f6405af02bc099fbefe 55663ecd94bddad75d6d66085226901eb7af3ad7 579d4da112c5f4458c2315cb3803740a154ac8b3 57cbc4ddefc3b95fb698478663986219ac35b452 5f3e0061b23733d712eee5f93d0f437154d6f8cd 693075d65deebe0a74562c1362a38f85100c28d1 69ed4ab310f71078ea2782ea489987787edc1b0b 6a0d6109a1a26ff5dcfed02de8bea9179fb23ca4 6f8233311ecac845f8f95d72d1dbb33f86c882ac 7112a5fc9d597c729e4047c7090c09a993187a1c 74d68a06d4ff365a0bffc16d5ffacd7c779ef0e1 84d1714208d606e99c18a65a06f582aa00b9e6f4 883816a4a86bcc20bf05acdfc8c58f7cbaa046fc 886ae846adc6460eb84d6e43d95024f693f995b2 8b7b9e09ca398a3ef5c44ea1327dc5bbbc95109d 91badb08d7d1cb0c3340ada0a5b0879139290c58 97cd18707d8aa904c29e0c6f22ef4c4bbfaf3d5b 9d0aac71f6e63032fcf45013047b793c9a7b5deb 9f9e606ddf25904ecae7bf5d89c4558b5e9ae6bb a31255249990c3a02838760dab25935cbf6f1c0c a6797a0a755ec8e27455f6b545edaee44722f9e6 a8df1cd651f965cc3a42ff25c92e1d7d0eee0d64 ac6be6e7ee0f692e207fcf39068f51e99a15a3e4 ae6bc77df137effde06076a0c6619d469ee52c42 ae6da9276fbab85f8796e964c8646738ed4e41cb b3afcf13c81b6e602d0ed5a79013358af11dbefd b5e2fe29bcd9e72a2b71ecf199a80eb0d76d95eb b911719b5da998db39b28c5b19503c827623a767 bbbc5dedb3d5183098d0a041bcbae48fda816a34 be07460dc49ec4e6191e65a96a42281084f35c34 c026026524d37d7f45174eba005198ebcdc89a61 c243e2dab34f878299634258593ccf2579f6bc21 c2762340c5f4e31d6f2ac5478c6f4b92be67632f c6c6687ed4b3d7168b8d468e86ebd4768258b84f c73d3268dac2d850431e320614c1ab46ed96ae5b cb1c871248a057dd36440a10b40bce35cf87cc55 cc6ee480550ac26b0cd1c193c7cb8e06befd2a24 ce372a3f7b909f16570a23922af49755beb521ed d208ea2c35e1029d4639e4f6f963a5473efa51a5 d9e6a62d0c5216f39c461f40363dce4aa6704843 ddc57cd46a5ef09cb619c4b359df14b770c9adef de40fed23d883aff3e5254104977976186e17b02 decc124fa184e3e9864aa18e7bab95caa04270c2 e210a4731c8200129852833b9f824794bee0bfef e4deb628ba97360635c4bb42cf427524ae23a62f e5e21bcb4fe9e18231bb21cb896c1d4c924e77d5 e60b66724e3525466723ed2dde58b4dce378d285 e81652a702d3d759146ba7815e77bd88ecfcffdf ebbf3864083ef47ed9481ee69c89d09db01d4369 eccbed737d66eb582f9b33311b57c7c1832d8f8b f3aba30001d6a940482d37bae27b848282a5476b f3c128800d32fda34d5ee3e0e0abeb4f7fcdb8d6 f44ef10e446277133f47c7febd06aa405422fdc7 f4e66458b8c613ebc48f8abc168e0fcb17a70b37 f7008cca7ce0ad4ba50896cea7dd6c4a2a23968c f717a427c8cf9fda809d9a86af17bb497d816cc3 f7e0e0c2c34fc7db96d285776e5329a9d6798cea fd5c58509e350569a430fd52da1f27a4021849e3 fea58d6d6a4bd6fbb1dd407cff18e967ddfac05c 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-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 160 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_i386.deb Size: 32900 SHA256: babff60c2e8ddaecaf534134d5764313ecf33640d248b73e67a4e9f2683e99de SHA1: 3fd2ca00d13796e244f99033c47cf8983dd3dbf0 MD5sum: 05d9439d2268af18358f7b72cd34c2f9 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 83 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_i386.deb Size: 46510 SHA256: e21af254d5efbdf7d51767cb07bd547f8d518230031fc6969a52f8474581fdae SHA1: 5ca45cd026b6d63d630e91e6d2001f1dc321b8ed MD5sum: db5ba3a8227436732af8f176e3206f6e Description: Debug symbols for python3-wrapt Build-Ids: 4ffc74ae00e84465044c8eb4cc972b587850bfea b7efba69c4b1a2f68cc3fe50332010079a87cae3 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: i386 Maintainer: Debian Go Packaging Team Installed-Size: 16874 Depends: libc6 (>= 2.3.6-6~) Built-Using: go-md2man (= 1.0.8+ds-1), golang-1.10 (= 1.10.3-1), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-github-a8m-tree (= 0.0~git20171213.cf42b1e-1), golang-github-abbot-go-http-auth (= 0.0~git20150714.0.46b9627-2), golang-github-aws-aws-sdk-go (= 1.12.79+dfsg-1), golang-github-azure-azure-sdk-for-go (= 10.3.0~beta-1), golang-github-azure-go-autorest (= 8.3.1-1), golang-github-coreos-bbolt (= 1.3.1-coreos.5-1), golang-github-davecgh-go-spew (= 1.1.0-4), golang-github-dgrijalva-jwt-go-v3 (= 3.1.0-2), golang-github-djherbis-times (= 1.0.1+git20170215.d25002f-1), golang-github-dropbox-dropbox-sdk-go-unofficial (= 4.1.0-1), golang-github-go-ini-ini (= 1.32.0-2), golang-github-google-go-querystring (= 0.0~git20170111.0.53e6ce1-4), golang-github-jlaffaye-ftp (= 0.0~git20170707.0.a05056b-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kardianos-osext (= 0.0~git20170510.0.ae77be6-5), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-mattn-go-runewidth (= 0.0.2+git20170510.3.97311d9-1), golang-github-ncw-go-acd (= 0.0~git20171120.887eb06-1), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-google-cloud (= 0.9.0-5), golang-goprotobuf (= 0.0~git20170808.0.1909bc2-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.41-1~ndall0_i386.deb Size: 4618876 SHA256: f3d9fca60ef0cfd3221be8ef088af8a9fc3a2a2c99955034fe6b29a9e18eb42e SHA1: 50b47feb7ce2f1441e1a5cef84f91ef20d1e104f MD5sum: 8c73c00b1e80467960cb535af6d6e58f Description: rsync for commercial cloud storage Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers: . - Google Drive - Amazon S3 - Openstack Swift / Rackspace cloud files / Memset Memstore - Dropbox - Google Cloud Storage - Amazon Drive - Microsoft One Drive - Hubic - Backblaze B2 - Yandex Disk Package: remake Version: 4.1+dbg1.3~dfsg.1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 354 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_i386.deb Size: 165152 SHA256: 7f3c150bbe5bda53b32ec8c5a9d7266dee3a73037ab34eb523fcb90e0f76c93f SHA1: c9a36800d1210505d49b056358a1af9ee9c629e7 MD5sum: edcee219c59cfbe82deafaf88210878a 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 316 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_i386.deb Size: 284134 SHA256: 3d833dea6f96575697bce97c1a21c0a71903d1712a7c777daef9b09bc8c6760f SHA1: fbb3372d7b440f76ca444539d8150e2755834975 MD5sum: 9beac4a4b52e280a60f746985436bf76 Description: debug symbols for remake Build-Ids: 5e3b2c314787e559765e2c36888a0a6858802661 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2603 Depends: neurodebian-popularity-contest, python, squashfs-tools, ca-certificates, libarchive13 (>= 3.0.4), libc6 (>= 2.28) 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_i386.deb Size: 330332 SHA256: ff352b07aad30928036242017495b95f08fcd241636325f6738b617de5cc2486 SHA1: f779b68649d3a8b1e9d5259b17326f075b496b38 MD5sum: c364fde598dd59edeeeded90b68522b7 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1035 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_i386.deb Size: 834752 SHA256: 7be871c0f241613136878c0371e439fe4743cea3cd13b5e904f8175f72cee67e SHA1: e13730b55751b8e6321ec7b4f272b11ca55ebb86 MD5sum: ec897746f509cda2a69c767568d3dcac Description: debug symbols for singularity-container Build-Ids: 13077f29923955d11b3791f7573c0ed35326a698 164375f435fbb87c72547540c95d375a723d0549 243d33a4f29b520838d22c0f6987c41bee0762bc 2b76c58be573e6f5923e0df810aae05351cb1d72 4af322339ede8f8e21e1571eb5a9c5410f11b5c6 4da9f04d6a6a8be51666e264ac577afc4f250da8 5b42f53dc0c99378c98efb79f5e45ea56237325a 878a55d3d679424d5e2d9d6c81cb6627afde604d a58f09e2a0a352a7c71a28427a4322f2f083dbb8 ac3a0eaf29a908b3a8fc4b614d569d34ad3df816 b944097c17da192a027f703a1066be1ae08f0300 bb5f20cbc9dfe08c45c125cea9f1b6ae147b37cb c02fab191f3c07888e127df3dd81b1b6a71ca1a1 dadc3480175d8c07c1175174f522bd2e4daf09b1 f43d48e14234a0367b5bd24a95c1560adaa7e51d Package: stimfit Version: 0.15.8-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3128 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.7), 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_i386.deb Size: 942404 SHA256: 9d678524cd727b8c89ab9ada1febb7abcfe976c993d9c5821ebbe6dccab38a8e SHA1: 3aa76c9d127c58a22ed9bf58561b5f5f2ebcd08e MD5sum: 0e07b66fcd8c7d92dbbad528f0856f29 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8106 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_i386.deb Size: 7928744 SHA256: 9c3ec56a79a7c4a07348c3d6511d54d014a52ca3fab21347acdfaa3cd1f9c223 SHA1: f4d3b84a94ed4b349b1e3b78b0f5edcb3e086196 MD5sum: f4c007e8470cc3a3c6976e8efc7e284a 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: 00ae8007142322daa923e47a84697652c233e3e1 243bc0ac86a68fbb3a3b4c254487bb3122ce4e99 7eed9ce1b6dd3deb2c4d5f00ec50725fc342ea6b 8282bdb339ae9304d0121e2bcf2424475d3bead8 8556d847e211e2c636f335e6f8d35ee7fd99f607 be05b035cf29b119b8027c04c4a8d889e34910e7 f150aa95b9b38e0b3a31d2e4342ba91ab612964c Package: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 229 Depends: neurodebian-popularity-contest, libboost-program-options1.62.0, libc6 (>= 2.3.6-6~), 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_i386.deb Size: 61604 SHA256: 3ad57709b86167a9ab2ee579af7513de70312073fb4fdc907e7ab4c81df7e0b7 SHA1: 61b71e8865d62100d54eeab079df37488ad6edd4 MD5sum: 93907fb79a74d0cd9a5f2581a7730cf9 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 573 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_i386.deb Size: 91356 SHA256: 36b43df07551d838a15ba4dbae98b093f49b12762da1c62a2ddb1fc6ef81bea3 SHA1: 1abe9612f835cf1b2ceeddb2c52c677530990b13 MD5sum: 073b8340bc1d55aa43d5973615990876 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: 0333f51b5c07d03de2cd316e8db2dfc73603ac31 2869fcf0d64686b49d93b5c7a7e19d7c636eed3d 495c0979d2da956115f1c4eb3ba260e656893043 6fff75a36bc8dc895ee02060f2e7c5e303b0f91f a104d0c44ff4f85dc2b612f5692634eda121931e bd2647a15664f9a7ac5d8487d13ccc96e93afceb d2f9a5627d13b06aca28b8e81341b7598b290c6f fcecfb1a989f06e0fb4282823235d1c451ed7526 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.