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: bats Version: 1.8.0-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 158 Depends: neurodebian-popularity-contest Recommends: parallel Homepage: https://github.com/bats-core/bats-core Priority: optional Section: devel Filename: pool/main/b/bats/bats_1.8.0-3~nd100+1_all.deb Size: 47924 SHA256: b30d972ceeda66aeb1cde176912e878939268025a51eb57dc3cb2281f806ee04 SHA1: 0b23310c8f233100f538aac818153571322f14b8 MD5sum: 5582b51cae6e0d785b05ccfd7ee32c30 Description: bash automated testing system Bats is a TAP-compliant testing framework for Bash. It provides a simple way to verify that the UNIX programs you write behave as expected. Bats is most useful when testing software written in Bash, but you can use it to test any UNIX program. Package: btrbk Version: 0.32.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 409 Depends: neurodebian-popularity-contest, perl, btrfs-progs Recommends: openssh-client, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.32.5-1~nd100+1_all.deb Size: 120156 SHA256: c702484bc803f8aeb3e77335f76ccb7dfb3038363b0f47263cab5c85d122a26e SHA1: 1d7d7ece91062b19c17102428188c7d577cd0633 MD5sum: 28028f45aa5f02448f3a5e1bca266e0d Description: backup tool for btrfs subvolumes Backup tool for btrfs subvolumes, using a configuration file, allows creation of backups from multiple sources to multiple destinations, with ssh and flexible retention policy support (hourly, daily, weekly, monthly). Package: connectome-workbench Version: 2.0.1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 66665 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libftgl2 (>= 2.4.0), libgcc1 (>= 1:7), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.11.0~rc1), libqt5network5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.11.0~rc1), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_2.0.1-1~nd100+1_i386.deb Size: 28057752 SHA256: a367472b9e8e2ef9ee87692395ee440b2d9b19d43040a35645a7f003258edc4d SHA1: 853a08ce3797a27415f1f36d70c670d78c0b9062 MD5sum: 261c21079e533fc541a71a4c24e49bba 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: 2.0.1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 337960 Depends: neurodebian-popularity-contest, connectome-workbench (= 2.0.1-1~nd100+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_2.0.1-1~nd100+1_i386.deb Size: 335242512 SHA256: f09cc3f529bf28bdd231d73aaa77b3063e7323b8c5f797c3fa8de94f9c75edd7 SHA1: 6f7a0b6d69ad0f70be989a53e5fa141193890c0e MD5sum: c618c2204f2a5a6dda44c0e74c5a0d96 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: 6427b9ec22b6584f19ffda7ae084b3e8875ad75d c23c1d007c3b465c1c5ffd00fd99dc3889ae46a3 Package: convert3d Version: 0.0.20190204-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 60967 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libdcmtk14, libdouble-conversion1 (>= 2.0.0), libexpat1 (>= 2.0.1), libgcc1 (>= 1:4.0), libgdcm2.8, libhdf5-103, libhdf5-cpp-103 (>= 1.8.13), libicu63 (>= 63.1-1~), libinsighttoolkit4.12 (>= 4.12.0-dfsg1-2~), libjpeg62-turbo (>= 1.3.1), libnifti2, libpng16-16 (>= 1.6.2-1), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.8.0), libqt5widgets5 (>= 5.7.0), libssl1.1 (>= 1.1.0), libstdc++6 (>= 5.2), libsz2, libtiff5 (>= 4.0.3), libwrap0 (>= 7.6-4~), libxml2 (>= 2.6.27), zlib1g (>= 1:1.1.4) Homepage: https://sourceforge.net/projects/c3d/ Priority: optional Section: science Filename: pool/main/c/convert3d/convert3d_0.0.20190204-1~nd100+1_i386.deb Size: 9917472 SHA256: 9e6b2e485987284f0e341f6094fb7d734464f783632a9bad375857418d5cdd6b SHA1: 45c52819fa3bebb6317a887c97a1aa256f824fa3 MD5sum: 0fea55a04707fc1022154c5b1e475dcd Description: tool(s) for converting 3D images between common file formats C3D is a (command-line and GUI) tool for converting 3D images between common file formats. The tool also includes a growing list of commands for image manipulation, such as thresholding and resampling. Package: convert3d-dbgsym Source: convert3d Version: 0.0.20190204-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 221544 Depends: convert3d (= 0.0.20190204-1~nd100+1) Priority: optional Section: debug Filename: pool/main/c/convert3d/convert3d-dbgsym_0.0.20190204-1~nd100+1_i386.deb Size: 211355776 SHA256: d9bdb3aca31bdf1777deef7f655362a0dbb349a58ada818f573b7b23d2355813 SHA1: 4112d1b21211d69d63aae61e1d69331e07be610b MD5sum: 2d6773a48a1b0687fd8789af895e1f58 Description: debug symbols for convert3d Build-Ids: 584575d6f2fb6abba654d77f0831546a44a0d4f9 6ee63470eb9d3920a52bc4dae2f1dd1307904378 71c6cb3f6ec4661858431164dd15dc0f0b725f14 82f4af72e0e9302ff708e11a5d8f2ff9bdf9beae 8e7df5f3a2acd3309d0cba442552b4008cca1247 e8fd971e8d95c1c019ae5a50b63822c4438f4fc3 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: 0.18.3-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 223 Depends: neurodebian-popularity-contest, python3-datalad (= 0.18.3-2~nd100+1), python3-argcomplete (>= 1.12.3), python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.18.3-2~nd100+1_all.deb Size: 185348 SHA256: 496923ea94376febb450eec74e1ea7649ddf1cab55ff5c91d0174800e58e1496 SHA1: a5839cbc4408909f6747a64d5c14cbae23413c06 MD5sum: e4dd2fd8a8c880053e79cfdab58401b8 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) Package: datalad-container Version: 1.1.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 116 Depends: neurodebian-popularity-contest, datalad (>= 0.13~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3:any Recommends: singularity-container Suggests: docker.io Homepage: http://datalad-container.rtfd.org Priority: optional Section: science Filename: pool/main/d/datalad-container/datalad-container_1.1.2-1~nd100+1_all.deb Size: 26520 SHA256: cb87ac9b5c50f59b40fc1fcd7ff920bdb50167764c64b74ee19049af41f962aa SHA1: 28e59e4e408b723536bbef23e3fee4c6ea1fe9e3 MD5sum: 2f47ca5d5291415661ce421b1de5ff47 Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: davfs2 Version: 1.7.0-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 377 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libneon27, debconf (>= 0.5) | debconf-2.0, adduser Homepage: https://savannah.nongnu.org/projects/davfs2 Priority: optional Section: utils Filename: pool/main/d/davfs2/davfs2_1.7.0-1~nd100+1_i386.deb Size: 167096 SHA256: 12976636bd27cb935bb85b401a5991bee127489de148a055d93422cd12cedc27 SHA1: 7822de59bcbe9a95883089d6b24f5ccfafc5f545 MD5sum: 072a29e278eed873e5259091a364ccdf Description: mount a WebDAV resource as a regular file system Web Distributed Authoring and Versioning (WebDAV), an extension to the HTTP-protocol, allows authoring of resources on a remote web server. davfs2 provides the ability to access such resources like a typical filesystem, allowing for use by standard applications with no built-in support for WebDAV. . davfs2 is designed to fully integrate into the filesystem semantics of Unix-like systems (mount, umount, et c.). davfs2 makes mounting by unprivileged users as easy and secure as possible. . davfs2 does extensive caching to make the file system responsive, to avoid unnecessary network traffic and to prevent data loss, and to cope for slow or unreliable connections. . davfs2 will work with most WebDAV servers needing little or no configuration. Package: davfs2-dbgsym Source: davfs2 Version: 1.7.0-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 164 Depends: davfs2 (= 1.7.0-1~nd100+1) Priority: optional Section: debug Filename: pool/main/d/davfs2/davfs2-dbgsym_1.7.0-1~nd100+1_i386.deb Size: 135652 SHA256: 02e150e55f390eb7b26f6505adc887db40661a33ff413a0efb4596fd4dc54ce2 SHA1: e1a656088934a02714a16d06cb4f94335a582ad8 MD5sum: 85ef68642edb3bf0b6a0e6ba7f61ea8a Description: debug symbols for davfs2 Build-Ids: 813c62627ca1c97e7724e2b688f8137e148713b1 aa7ae7e067f3a32143869a0b79557a4ecfe913e1 Package: dcm2niix Version: 1:1.0.20240202-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1368 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_1.0.20240202-1~nd100+1_i386.deb Size: 309752 SHA256: dd42cf803b6f521dc369bb3e57f59b3a468c881693e57636e7120fb2608a7c48 SHA1: 06b3e8d6ac37bbe02121ed80ea4587562cb9c8ad MD5sum: 0258646dd9c10e0e4c0c4a45d9e27b7a 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: 1:1.0.20240202-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1500 Depends: dcm2niix (= 1:1.0.20240202-1~nd100+1) Priority: optional Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20240202-1~nd100+1_i386.deb Size: 1449256 SHA256: 7993d02f6e8c80e6a3cf552883499bae0d3bf1fbd832e1cfd3f90115b349e0ab SHA1: e49a677b2415002e184558b63054dbd994851541 MD5sum: d03ae3effbd38c136ea89bd4cc98e685 Description: debug symbols for dcm2niix Build-Ids: 794d7213663d859511a99513056f26f187c51a6e c1585816299f2ed74f6e415cfe4ae4cc9d53465b Package: debhelper Version: 13.11.4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1422 Depends: neurodebian-popularity-contest, autotools-dev, dh-autoreconf (>= 17~), dh-strip-nondeterminism (>= 0.028~), dpkg (>= 1.18.0~), dpkg-dev (>= 1.18.2~), dwz (>= 0.12.20190711), file (>= 3.23), libdebhelper-perl (= 13.11.4~nd100+1), libdpkg-perl (>= 1.17.14), man-db, po-debconf, perl:any Suggests: dh-make Breaks: cmake (<< 3.9~), meson (<< 0.40.0~) Provides: debhelper-compat (= 9), debhelper-compat (= 10), debhelper-compat (= 11), debhelper-compat (= 12), debhelper-compat (= 13), dh-sequence-dwz, dh-sequence-elf-tools, dh-sequence-installinitramfs, dh-sequence-installsysusers, dh-sequence-single-binary, dh-sequence-systemd Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/d/debhelper/debhelper_13.11.4~nd100+1_all.deb Size: 952436 SHA256: db6bd38982cec609e64ff01d49229e77ef1f71da0d199506617783690e8585ef SHA1: e48ee6dc17c877598ef1db9b7c327c6d4cd93f3e MD5sum: 3faff00ba3cebd556cc9b6b3cab69a4b Description: helper programs for debian/rules A collection of programs that can be used in a debian/rules file to automate common tasks related to building Debian packages. Programs are included to install various files into your package, compress files, fix file permissions, integrate your package with the Debian menu system, debconf, doc-base, etc. Most Debian packages use debhelper as part of their build process. Package: dh-octave Version: 1.2.7+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, octave-dev | liboctave-dev, debhelper-compat (= 13), cme, libconfig-model-dpkg-perl, libparse-debcontrol-perl, libmime-tools-perl, libfile-find-rule-perl, dh-octave-autopkgtest, perl:any Provides: dh-sequence-octave Priority: optional Section: devel Filename: pool/main/d/dh-octave/dh-octave_1.2.7+nd1~nd100+1_all.deb Size: 23232 SHA256: 7f34b8f7b7fe88f0f088db114b844b499b9640887d0c5360cdca8b16079d3579 SHA1: 9a4b1c82ff58069c0301e2e75efe887ff964e6d3 MD5sum: 33a74176a066d966b61d3351d966183f Description: Debhelper-based infrastructure for building Octave add-on packages Since version 3.0 of Octave (a numerical computation software), add-ons can be installed through the pkg.m system. This package provides the infrastructure for packaging such add-ons for Debian, based on debhelper. It replaces the deprecated octave-pkg-dev package. This package contains debhelper-like scripts for building, checking and cleaning the add-on package as well as for generating the substitution variables in debian/control. . This package is intended to be used by the Debian Octave Group and should be of little interest to general users. Package: dh-octave-autopkgtest Source: dh-octave Version: 1.2.7+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: neurodebian-popularity-contest, gnuplot-nox, fonts-freefont-otf Priority: optional Section: devel Filename: pool/main/d/dh-octave/dh-octave-autopkgtest_1.2.7+nd1~nd100+1_all.deb Size: 9680 SHA256: 3a9d60886b0f55f9aedc470d7d1e8b0dc9e62f0dcaa7bb7513a429eed6212b27 SHA1: a36e0da2427928b6a9328423eb78cfdaf28881e3 MD5sum: 8053ab8acb394f0168feb304f8a1083c Description: script for the automatic testing of Octave add-on packages This package contains the dh_octave_check script that runs the unit tests contained in all *.m and *.cc files available in the source tree from which it is launched. It is intended to be used by the support for Octave-Forge add-on packages, which is implemented in autodep8. Package: dh-systemd Source: debhelper Version: 12.1.1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, debhelper (>= 9.20160709) Multi-Arch: foreign Priority: optional Section: oldlibs Filename: pool/main/d/debhelper/dh-systemd_12.1.1~nd100+1_all.deb Size: 122648 SHA256: f5f75636c8df0fdc267f7fa610d705fd0829f1020ce98e9a376695ec8cb0e4c2 SHA1: ae2d2b32f56611aba32b9b5f224aa272f5dd81e4 MD5sum: 449e8efa04312e9538ee2b05a58110e3 Description: debhelper add-on to handle systemd unit files - transitional package This package is for transitional purposes and can be removed safely. Package: dwz Version: 0.13-5~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 479 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libelf1 (>= 0.131) Multi-Arch: foreign Homepage: https://www.sourceware.org/dwz/ Priority: optional Section: devel Filename: pool/main/d/dwz/dwz_0.13-5~nd100+1_i386.deb Size: 155388 SHA256: 1e8ba12babf55275f588a8bfb6ba05153e744123217e1cb14d1ad303ffd61cb5 SHA1: 27fafa4a498bb17a0a46c5ad576b0989040e6361 MD5sum: 86a987d4c36542946d97f98be0a586f0 Description: DWARF compression tool DWARF optimizer and duplication removal utility. Package: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 95 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libedac1, lsb-base (>= 3.0-6) Recommends: dmidecode Homepage: https://github.com/grondo/edac-utils Priority: optional Section: admin Filename: pool/main/e/edac-utils/edac-utils_0.18+git16-g8fdc1d4-1~nd100+1_i386.deb Size: 26168 SHA256: ff3f31fff3ccdb77ec4d0acc2b3a77ecf207829f7efeb5cac527a944387b7abf SHA1: 3487dcb9d9db3207ce0c8fe4a9f4c03dce899897 MD5sum: 8e8da7ab9d6b02510b09ab3deba59e01 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package provides command lines tools Package: exempi Version: 2.4.1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd100+1), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Multi-Arch: foreign Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: graphics Filename: pool/main/e/exempi/exempi_2.4.1-1~nd100+1_i386.deb Size: 20684 SHA256: 96da49c55a4c1baf47c9b2b59f2f7b1192dd8df3302cf36c2ed8d38e955daf6a SHA1: 0ba3e5247abfe17691aa5b9ccd10791586158b21 MD5sum: 34ffaa63d9579a7f9c08fca6b067986e Description: command line tool to manipulate XMP metadata Exempi is a library to parse XMP metadata as defined by the specification. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides a command line tool to manipulate XMP metadata. Package: exempi-dbgsym Source: exempi Version: 2.4.1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: exempi (= 2.4.1-1~nd100+1) Breaks: libexempi3-dbg (<< 2.3.0-1~) Replaces: libexempi3-dbg (<< 2.3.0-1~) Priority: optional Section: debug Filename: pool/main/e/exempi/exempi-dbgsym_2.4.1-1~nd100+1_i386.deb Size: 67856 SHA256: 8f27d32536b515898e398e0ccd51a59b7bee0961ef531a426bab2a6b0df4bfb1 SHA1: 5f4d9dbae7a12c869b7e3e6707ba0d8d8e3f7b62 MD5sum: d44a429173a590d0e8635071e836775e Description: debug symbols for exempi Build-Ids: 66575c0e9831c96d3618bf22fa2365cc9e025026 Package: freenect Source: libfreenect Version: 1:0.5.3-3~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, libfreenect-bin, libfreenect-dev, libfreenect0.5, libfreenect-doc Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/freenect_0.5.3-3~nd100+1_i386.deb Size: 9040 SHA256: 6c05e475b83d377ea010c2c54065541b00e6bbdb02b949273a03cb9c03c7201b SHA1: 162e06695506b0751ad468be961967faef9c515a MD5sum: 05a845393cb1e84996e24a194841b580 Description: library for accessing Kinect device -- metapackage libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the metapackage to install all components of the project. Package: fsleyes Version: 0.15.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239787 Depends: neurodebian-popularity-contest, python-fsl, python-fsleyes-props, python-fsleyes-widgets, python-wxgtk3.0, python-six (>= 1.0~), python-jinja2, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd100+1_all.deb Size: 26727496 SHA256: aa8cd7cacddf4a0ab2933e6330594da4a0c95954ffffa3c6974ac33a79c8cf27 SHA1: 13e9bd1338ee233a179ba809a075961b5fd10326 MD5sum: 8bb360750b3746266edc141788eed30c Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: gdf-tools Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 121 Depends: neurodebian-popularity-contest, libboost-filesystem1.67.0, libboost-program-options1.67.0, libboost-system1.67.0, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libgdf0 (>= 0.1.3), libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: utils Filename: pool/main/libg/libgdf/gdf-tools_0.1.3-3~nd100+1_i386.deb Size: 35468 SHA256: e6fd02c23a7a3e5e65e042f6e2f21a92f8b4b6b3f4168521453d3e34d9e1c56b SHA1: 2a963191a55f5339a7c6a98272a3b61c3fc2984c MD5sum: eae81c12242e7d5901beae6f009eb643 Description: IO library for the GDF -- helper tools GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the tool shipped with the library (gdf_merger). Package: gdf-tools-dbgsym Source: libgdf Version: 0.1.3-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 385 Depends: gdf-tools (= 0.1.3-3~nd100+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/gdf-tools-dbgsym_0.1.3-3~nd100+1_i386.deb Size: 356100 SHA256: 0846f553b2fbd0696cc2cb16579afd5d11507837c62f586096dec886805e7d7e SHA1: ea5c66a7bfa6ba5a69b98a5ac83e1520bc1b3127 MD5sum: f40305bef94322b1d0af3bb400db248d Description: debug symbols for gdf-tools Build-Ids: 4b7c48c648b9cd3232c204f5fd1190a0e9d1d6c7 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: 1:2.24.0-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45384 Depends: neurodebian-popularity-contest, libc6 (>= 2.28), libcurl3-gnutls (>= 7.56.1), libexpat1 (>= 2.0.1), libpcre2-8-0 (>= 10.32), zlib1g (>= 1:1.2.0), perl, liberror-perl, git-man (>> 1:2.24.0), git-man (<< 1:2.24.0-.) Recommends: ca-certificates, patch, less, ssh-client Suggests: gettext-base, git-daemon-run | git-daemon-sysvinit, git-doc, git-el, git-email, git-gui, gitk, gitweb, git-cvs, git-mediawiki, git-svn Breaks: bash-completion (<< 1:1.90-1), cogito (<= 0.18.2+), dgit (<< 5.1~), git-buildpackage (<< 0.6.5), git-core (<< 1:1.7.0.4-1.), gitosis (<< 0.2+20090917-7), gitpkg (<< 0.15), gitweb (<< 1:1.7.4~rc1), guilt (<< 0.33), openssh-client (<< 1:6.8), stgit (<< 0.15), stgit-contrib (<< 0.15) Replaces: git-core (<< 1:1.7.0.4-1.), gitweb (<< 1:1.7.4~rc1) Provides: git-completion, git-core Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git_2.24.0-1~nd100+1_i386.deb Size: 6505212 SHA256: fce9feb603343cd74fc6f4ca1f65524a3261cc936403b78e35a8f4e98fee1683 SHA1: 9cf45351eec0256c33b206add63900c2d13f26ec MD5sum: ff61966e11c07452eed4cc4ad0e2ef35 Description: fast, scalable, distributed revision control system Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git main components with minimal dependencies. Additional functionality, e.g. a graphical user interface and revision tree visualizer, tools for interoperating with other VCS's, or a web interface, is provided as separate git* packages. Package: git-all Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 831 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), git-doc, git-el, git-cvs, git-mediawiki, git-svn, git-email, git-gui, gitk, gitweb Recommends: git-daemon-run | git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-all_2.24.0-1~nd100+1_all.deb Size: 834256 SHA256: 97e822757380cf88354973507c090e2969f196c51dfbd775e56d6fdecffcbf16 SHA1: 6bd30fd503d31d77f384e2ecc80665231811761e MD5sum: d13f61e6dd80f74fc4ef007b9c858024 Description: fast, scalable, distributed revision control system (all subpackages) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This is a dummy package which brings in all subpackages. Package: git-annex-remote-rclone Version: 0.6-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.6-1~nd100+1_all.deb Size: 8180 SHA256: ae6d220d66dbf03b73f76829eae0be3c6e896cde4e9b4204798740adc5b9ddd7 SHA1: c3902f512d624fc5fb5b9bfbe27835347b202c17 MD5sum: 5e71901d827469ab0f75c8f017e23c45 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 10.20241031-1~ndall+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 236968 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, yt-dlp, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Breaks: datalad (<= 0.12.3~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_10.20241031-1~ndall+1_i386.deb Size: 68790604 SHA256: 54a538b686e2e3c42f6cf7260adc0ffe9710f3c6acc07a3b0832df703dba5a6b SHA1: be36d7de781610ad2928fe4ce19fa9ff92631f78 MD5sum: 97eb9b52c155f9c314da9711f48b2ed7 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing large files with git, without storing the file contents in git. It can sync, backup, and archive your data, offline and online. Checksums and encryption keep your data safe and secure. Bring the power and distributed nature of git to bear on your large files with git-annex. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with dozens of cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: git-core Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8 Depends: neurodebian-popularity-contest, git (>> 1:1.7.0.2) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-core_2.14.1-3+nd0~nd100+1_all.deb Size: 1438 SHA256: 13bf22417ecc8cec3d7d273a8ca840b9dc9de8009fb1b692ac200dd0b263f699 SHA1: 2dd4cdec7a1767ce4de1b031a4ff0dbea62f12a0 MD5sum: e58cd20daf94ad8f4199135fef2a653d Description: fast, scalable, distributed revision control system (obsolete) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This is a transitional dummy package. The 'git-core' package has been renamed to 'git', which has been installed automatically. This git-core package is now obsolete, and can safely be removed from the system if no other package depends on it. Package: git-cvs Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1212 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), cvsps, libdbd-sqlite3-perl Suggests: git-doc, cvs Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-cvs_2.24.0-1~nd100+1_all.deb Size: 897208 SHA256: 47c791ad6f7f897212d14feb56ea976135d9819cf19b2ceffb5f74a257e59870 SHA1: ba32884b23e7295418fe5f5abf1e0b3e77e67d58 MD5sum: 9747257eb8cb600cedc97c4881b15334 Description: fast, scalable, distributed revision control system (cvs interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git cvsimport, cvsexportcommit, and cvsserver tools, which allow Git to read from and write to CVS repositories and offer access over CVS protocol to Git repositories. . The git cvsimport tool can incrementally import from a repository that is being actively developed and only requires remote access over CVS protocol. Unfortunately, in many situations the import leads to incorrect results. For reliable, one-shot imports, cvs2git from the cvs2svn package or parsecvs may be a better fit. Package: git-daemon-run Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 843 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), runit, adduser Conflicts: git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-daemon-run_2.24.0-1~nd100+1_all.deb Size: 835876 SHA256: 6c4ec452764ada1b45aa8a61eb1a2c601d6bf95399d354c2ebee0997eff75fa4 SHA1: 765ebedd2a845372d1a756f0ad7a81f0985bbf30 MD5sum: e651bb4cfd2c6a26365efae92b430e34 Description: fast, scalable, distributed revision control system (git-daemon service) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . git-daemon, as provided by the git package, is a simple server for git repositories, ideally suited for read-only updates, i.e. pulling from git repositories through the network. This package provides a runit service for running git-daemon permanently. This configuration is simpler and more reliable than git-daemon-sysvinit, at a cost of being less familiar for administrators accustomed to sysvinit. Package: git-daemon-sysvinit Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 846 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), adduser, lsb-base (>= 3.0-6) Conflicts: git-daemon-run Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-daemon-sysvinit_2.24.0-1~nd100+1_all.deb Size: 836920 SHA256: 9e4169917a415941fdb116786d53256e132af81e9cd4a0ff184b0c2185da8b1d SHA1: bf7e43a5f4e52561be81c22349f1fad138d54df5 MD5sum: 70e340e781480005a9fd1b5b33f81d2b Description: fast, scalable, distributed revision control system (git-daemon service) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . git-daemon, as provided by the git package, is a simple server for git repositories, ideally suited for read-only updates, i.e. pulling from git repositories through the network. This package provides a sysvinit service for running git-daemon permanently. Unlike git-daemon-run, this package provides the usual sysvinit service management commands ("service git-daemon start/stop") for git-daemon. Package: git-dbgsym Source: git Version: 1:2.24.0-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 48993 Depends: git (= 1:2.24.0-1~nd100+1) Priority: optional Section: debug Filename: pool/main/g/git/git-dbgsym_2.24.0-1~nd100+1_i386.deb Size: 46838844 SHA256: 8af271a06d62a4c592139ca8d83c95b680f19089e90e60af561862c7531fdfaf SHA1: f744c707c2dd097fc8f72c201ada833678faa943 MD5sum: d6402fd31731db2ea47d97dca50b99ee Description: debug symbols for git Build-Ids: 25c9eac3de9312a92a4ac8feafcb089cc3d034fc 337c9490e83a9dd374925bbd2a1e1f3fa27e8b5a 3e6f9c3c7aa0bc2db6f154249e7f67125de426ff 4c675d603bdd2efd0981b8952db4f60fa6c5fad7 6bfcfd01d37195827db6d832c663b92cd4aee6a1 70082684fcc60c7cdf6c1ac046a4bbd2e4fd81a0 7f9e6ffe04ab55fdb67b48d722d044be00e7e45f 8619451552d0f7014881e6cb248fa95540bce919 864fbed694a04e268f91d106e4f4203fbf345d3c 8e300bcfa5c10c1c69489070487ae07e71168dd6 c676d75f3922d6b6c15a5e1a12900007d11115c9 d8ec0fe1ce216b03b5603e7df2342ad86c9819c4 dd0e3ecd060e23bfe3fc2ab6093d0ad0733807f8 f339bb4efb932fc2db3e088650020308e45659cf Package: git-doc Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11642 Depends: neurodebian-popularity-contest Suggests: git, git-cvs, git-svn, git-email, gitk, gitweb Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: doc Filename: pool/main/g/git/git-doc_2.24.0-1~nd100+1_all.deb Size: 1837108 SHA256: 0d643e3483c9e3114c790dfa38f51deaa9183e3cd8e4e1c30c65e65d57555096 SHA1: ac7c2b3ad361b407a7f4f4179ca2425592cf5faa MD5sum: 7426aa36af8f701618a626fd5d4262a6 Description: fast, scalable, distributed revision control system (documentation) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the documentation. Package: git-el Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 854 Depends: neurodebian-popularity-contest, git (>= 1:1.7.4.1-2~), emacs | emacsen Recommends: elpa-magit Breaks: git (<< 1:1.7.4.1-2~) Replaces: git (<< 1:1.7.4.1-2~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-el_2.24.0-1~nd100+1_all.deb Size: 836628 SHA256: 76a77bc21eed21bafe262cb9cbd07d1fd1785d3229f435e9fc97fa8a906f22fa SHA1: 9cb6fa70f440c4c5ef39ea54ec9e25af7177546f MD5sum: 863daf3c55e1f57d8f17da0bee55811a Description: fast, scalable, distributed revision control system (emacs support) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This transitional package provides two modules that previously could be used for integration with Emacs: git.el and git-blame.el. Now the modules print an error message with instructions that users can use to migrate to Emacs's VC-mode backend for Git or Magit. Package: git-email Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 900 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.) Recommends: libemail-valid-perl, libmailtools-perl, perl (>> 5.21.5) | libnet-smtp-ssl-perl, libauthen-sasl-perl, libio-socket-ssl-perl (>= 1.951) Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-email_2.24.0-1~nd100+1_all.deb Size: 859536 SHA256: 296885504064f57eb144da58da4828f556ac77e26ebec04a016580b4e7899720 SHA1: 242066d7db60ff4d19b4bf6166273923c0b57fc5 MD5sum: 11f2036fd9e8532a5c746251b68eb318 Description: fast, scalable, distributed revision control system (email add-on) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git-send-email program for sending series of patch emails. Package: git-gui Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2313 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), tk Recommends: gitk Suggests: git-doc, aspell, meld Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-gui_2.24.0-1~nd100+1_all.deb Size: 1044528 SHA256: c5c486d9ba9bd6b9e1f3fc18ecd26e01ef39ed53847472c7ce6aa20d88e134b4 SHA1: f23193beb9a357462ee1e1e3bad8b8ddf488a2c1 MD5sum: 0dbed42aa97d2a7653bd75c76542f8de Description: fast, scalable, distributed revision control system (GUI) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git graphical user interface. . If aspell is installed, it can check the spelling of commit messages as the user types. . If meld is installed, it can be used for displaying diffs and for interactive merge conflict resolution. Package: git-man Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1748 Depends: neurodebian-popularity-contest Breaks: git (<< 1:1.7.4~rc1) Replaces: git (<< 1:1.7.4~rc1), git-core (<< 1:1.7.0.4-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: doc Filename: pool/main/g/git/git-man_2.24.0-1~nd100+1_all.deb Size: 1695060 SHA256: 45f4c865e9032e4fbd26c83efc885a2a0982b78109017d8ad071765a010e3dee SHA1: ac5a9c96469ee3669044ce5a8e0c6b99fea91211 MD5sum: d9e903a2e0e9ef030b72ee93726dc64d Description: fast, scalable, distributed revision control system (manual pages) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides reference documentation for use by the 'man' utility and the 'git help' command. Package: git-mediawiki Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 890 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), libmediawiki-api-perl (>= 0.39), liblwp-protocol-https-perl, libdatetime-format-iso8601-perl Suggests: mediawiki Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-mediawiki_2.24.0-1~nd100+1_all.deb Size: 850224 SHA256: 603c7c62136d3c0b9d133d10708a353e25f4d70496e3815c5635cd7bb5cd533c SHA1: 2e6692fbf01ec4496fb73e02f69ed0b26af49661 MD5sum: cc7948166bec355957e5444d94df7a22 Description: fast, scalable, distributed revision control system (MediaWiki remote helper) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the mediawiki remote helper, which allows Git to read from and write to a wiki such as Wikipedia as though it were a remote Git repository, and a 'git mw' command that can show a preview of how wiki markup will be rendered before pushing. Package: git-svn Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1077 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), libsvn-perl, libyaml-perl, libterm-readkey-perl Suggests: git-doc, subversion Breaks: git (<< 1:1.8.3~rc1-1.) Replaces: git (<< 1:1.8.3~rc1-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-svn_2.24.0-1~nd100+1_all.deb Size: 909412 SHA256: bf41c3f6a62c088b97b441f9719fdc6cc39b49befa8d1d0a39be49efaf262119 SHA1: 863a375a8813a4a7edd8e89c7f7ac9de6c5726a1 MD5sum: d5eba4f019172e9d951db274a506d640 Description: fast, scalable, distributed revision control system (svn interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides tools for interoperating with Subversion repositories, and importing SVN development history. Package: gitk Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1612 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), tk Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitk_2.24.0-1~nd100+1_all.deb Size: 969412 SHA256: d681771f4e98e3f8df6466fd8cba94765b8ec0bab36504fd4bd6548cc471432c SHA1: 06a2f6082d104f703f88331db54f0fb57079cba3 MD5sum: 8d009ff17c646b19fddb32d812dd8d1b Description: fast, scalable, distributed revision control system (revision tree visualizer) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the gitk program, a tcl/tk revision tree visualizer. Package: gitweb Source: git Version: 1:2.24.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 853 Depends: neurodebian-popularity-contest, git (>> 1:2.24.0), git (<< 1:2.24.0-.), perl, libcgi-pm-perl Recommends: apache2 (>= 2.4.6-4~) | lynx | httpd, libhttp-date-perl | libtime-parsedate-perl Suggests: httpd-cgi | libcgi-fast-perl, git-doc Breaks: apache2.2-common (<< 2.3~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitweb_2.24.0-1~nd100+1_all.deb Size: 838516 SHA256: 302536cb29b0094ba7409a111ee5c207c958f207252d889f189326fb416fa700 SHA1: d73b89a66538ae0ae78863d5d7fe475fd00ba95c MD5sum: 2b54d78a5ed1d9ce8e1527b77a7a04c6 Description: fast, scalable, distributed revision control system (web interface) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package configures a web interface for browsing git repositories. . If apache2 is installed, the web interface is automatically made available at http://localhost/gitweb. Other servers that support CGI or mod_perl are supported through manual configuration. . If libcgi-fast-perl is installed, gitweb can also be run over FastCGI (and served by nginx, for example). Package: goaccess Version: 1:1.7-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1150 Depends: neurodebian-popularity-contest, libc6 (>= 2.28), libmaxminddb0 (>= 1.0.2), libncursesw6 (>= 6), libssl1.1 (>= 1.1.0), libtinfo6 (>= 6) Homepage: https://goaccess.io/ Priority: optional Section: utils Filename: pool/main/g/goaccess/goaccess_1.7-1~nd100+1_i386.deb Size: 341152 SHA256: c38b4647c89c83c169b88cad974f32a2c2db9b81a2919a299a528564eff189ae SHA1: e31b3335fa377748135a0cef9ecbfb65a6be141e MD5sum: ee769371382b5c6186fe720fe02b8bb0 Description: log analyzer and interactive viewer for the Apache Webserver Displays fast and valuable HTTP statistics for system administrators that require a visual report on the fly. . The collected information will be displayed to the user (sysadmin) in a visual/interactive window. Collected information includes: . -General Statistics, Bandwidth etc. -Top Visitors -Requested files -Requested static files, images, swf, js, etc. -Referrers URLs -404 or Not Found -Operating Systems -Browsers and Spiders -Hosts, Reverse DNS, IP Location -HTTP Status Codes -Referring Sites -Unlimited log file size . GoAccess can parse both of Apaches' log formats, the Common Log Format and the Combined Log Format Package: goaccess-dbgsym Source: goaccess Version: 1:1.7-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 464 Depends: goaccess (= 1:1.7-1~nd100+1) Priority: optional Section: debug Filename: pool/main/g/goaccess/goaccess-dbgsym_1.7-1~nd100+1_i386.deb Size: 434384 SHA256: ff0719bd0e1ea7f97698c167278ca707217f80bab7298797bebc4aa75ae737c2 SHA1: 01f260868ad8301d6b900ff0c8e58bcc885ade0e MD5sum: 12307647478da7a0c68f05417177fa45 Description: debug symbols for goaccess Build-Ids: 9fefbbd86ba5dfda3dabb434fdf81c79191fc13e Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: heudiconv Version: 0.13.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13543 Depends: neurodebian-popularity-contest, python3-dcmstack, python3-filelock, python3-nibabel, python3-nipype, python3-pydicom, python3:any, dcm2niix, python3, python3-dicom, python3-numpy Recommends: python3-pytest, python3-datalad, python3-etelemetry Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.13.1-1~nd100+1_all.deb Size: 7661152 SHA256: 3ebb390a9e77a6d0f907b672d9b366993c1526d6feedafe6b1bce0fb3a089024 SHA1: f1912f0e34a0d0ff38fb87b615d4d57f0af7d36d MD5sum: e3fafd9a49c8a4f7b1bd642946589c59 Description: DICOM converter with support for structure heuristics This is a flexible dicom converter for organizing brain imaging data into structured directory layouts. It allows for flexible directory layouts and naming schemes through customizable heuristics implementations. It only converts the necessary dicoms, not everything in a directory. It tracks the provenance of the conversion from dicom to nifti in w3c prov format. Package: htcondor-doc Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6226 Depends: neurodebian-popularity-contest Breaks: condor-doc (<< 8.0.5~) Replaces: condor-doc (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: doc Filename: pool/main/c/condor/htcondor-doc_8.6.8~dfsg.1-1~nd100+1_all.deb Size: 1087168 SHA256: af43decd2d983deba34ff8a7c1001c7b0e5095b637b73f54f646b0e2c8124d45 SHA1: c8627c789c55859bbb2a0beb13e70523d0f3f5f8 MD5sum: 31097e9b3639054503c5b5c90bf87dd9 Description: distributed workload management system - documentation Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides HTCondor's documentation in HTML and PDF format, as well as configuration and other examples. Package: impressive Version: 0.13.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 494 Depends: neurodebian-popularity-contest, python3, python3-pygame, python3-pil, mupdf-tools (>= 1.5) | poppler-utils Recommends: mplayer, ffmpeg, perl, xdg-utils Suggests: ghostscript, latex-beamer, pdftk Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.13.1-1~nd100+1_all.deb Size: 196896 SHA256: f346b99be2d628ee53dd3188aa766dc5f3edf300d337f480f85a16ecd1d8f5ac SHA1: 32d18921e5fc85b3fba7b2ffd795ee6c8cd0848d MD5sum: 9e89f63be171835fac4a5ba651017983 Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization * Support of movies presentation * Active hyperlinks within PDFs Package: isympy-common Source: sympy Version: 1.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 211 Depends: neurodebian-popularity-contest, python:any | python:any Recommends: isympy | isympy3 Conflicts: isympy (<< 1.0-2) Breaks: python-sympy (<< 0.7.5-4) Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/isympy-common_1.3-1~nd100+1_all.deb Size: 186576 SHA256: e7150e0aef0107fa5b2fe22d249888b2b7de7043cf804aaf5a19cf3a8e7d3c20 SHA1: 90b7330c12ed62f66bc7f31f16098942ad82727a MD5sum: fa91a350661edf6de6fe377e9f2db8c2 Description: Python shell for SymPy SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This support package contains the common isympy python script, a wrapper for SymPy which can be invoked with either python2 or python3. . Install the isympy or isympy3 package to ensure all required dependencies are loaded. Package: isympy3 Source: sympy Version: 1.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: neurodebian-popularity-contest, isympy-common, python3-sympy Enhances: ipython3 Provides: isympy Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/isympy3_1.3-1~nd100+1_all.deb Size: 8348 SHA256: 70c954f899d35733a3b6705917f0d071513ba493c1fb11b11e93f9789a66b4ca SHA1: 2a39d0a36ffdbb0b38351de592d413713bcfe95a MD5sum: 602eceed7a85109922b7901e36759c21 Description: Python3 shell for SymPy SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains a Python3 shell (IPython shell if you have the ipython3 package installed) wrapper for SymPy. Package: libdebhelper-perl Source: debhelper Version: 13.11.4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 312 Depends: neurodebian-popularity-contest, perl:any Breaks: debhelper (<< 12.6~) Replaces: debhelper (<< 12.6~) Multi-Arch: foreign Priority: optional Section: perl Filename: pool/main/d/debhelper/libdebhelper-perl_13.11.4~nd100+1_all.deb Size: 81348 SHA256: 23eb04663b5df2906250a4650e9a1d87c283a4e83e6c3144976414276f1d015f SHA1: 7e92991cf37cc88d4bcebbd654ca13a9ab6fca69 MD5sum: cabf1c41793e89b40811eb3b2aeffb8d Description: debhelper perl modules A collection of programs that can be used in a debian/rules file to automate common tasks related to building Debian packages. . This package provides the perl modules used by the scripts in debhelper. Package: libedac-dev Source: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git16-g8fdc1d4-1~nd100+1) Homepage: https://github.com/grondo/edac-utils Priority: optional Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18+git16-g8fdc1d4-1~nd100+1_i386.deb Size: 14912 SHA256: 45364570ac7ea5ee18fd286891dd4f1d1476f497f8eb08eae5b1dcdc244598ff SHA1: 2c6f30ed851694eaa56344344ee94b06f983e5e3 MD5sum: b7f0ec100bfd3b1d285f05df425691b0 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package contains development files for the library Package: libedac1 Source: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 34 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libsysfs2 (>= 2.1.0+repack) Provides: libedac Homepage: https://github.com/grondo/edac-utils Priority: optional Section: libs Filename: pool/main/e/edac-utils/libedac1_0.18+git16-g8fdc1d4-1~nd100+1_i386.deb Size: 10740 SHA256: f93857b5ab62d83ecc534fafc90c4d89d5f102ce5aea0d0feec012b6e40d8554 SHA1: 5ade7f3013a294608c94e4af65845aa56215678a MD5sum: 4de05afbf75ba6266fbc253c9616ff6d Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library Package: libedac1-dbg Source: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 58 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git16-g8fdc1d4-1~nd100+1) Provides: libedac Homepage: https://github.com/grondo/edac-utils Priority: optional Section: debug Filename: pool/main/e/edac-utils/libedac1-dbg_0.18+git16-g8fdc1d4-1~nd100+1_i386.deb Size: 34124 SHA256: f4f98febed713954f7ec4c3d65995a22302609a32dd71b3a65410258df9b04db SHA1: d69d2674ae00aa428376c2e28c9f8c80797242a8 MD5sum: 50b2e7815e5793e007e72b834a08d35a Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library with debugging symbols not stripped Build-Ids: bc89ab13099fc9b64a40cf3e9fc648c262295262 50732feda6d476121f5fb7666c1d64352413e918 Package: libexempi-dev Source: exempi Version: 2.4.1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3558 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd100+1) Multi-Arch: same Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: libdevel Filename: pool/main/e/exempi/libexempi-dev_2.4.1-1~nd100+1_i386.deb Size: 749700 SHA256: f4f24fa88c7f3da157feea8ac0c4fdaa049d7224e76c60e7c66d531a6a66d50d SHA1: 574ff453302312526810911f3f08bb15b381261b MD5sum: c1800d876ef1365a1d082dd9a1e76375 Description: library to parse XMP metadata (Development files) Exempi is a library to parse XMP metadata as defined by the specification. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides development files for using exempi. Package: libexempi3 Source: exempi Version: 2.4.1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1762 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libexpat1 (>= 2.0.1), libgcc1 (>= 1:7), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Multi-Arch: same Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: libs Filename: pool/main/e/exempi/libexempi3_2.4.1-1~nd100+1_i386.deb Size: 604528 SHA256: 9ba4ff23ad2ae41fb391bce8f5dca1e6fe047c46c6bfecc130079836771774cd SHA1: bb71a3f6e59ded0dcb25de8232396cb942696828 MD5sum: 13e7b3fe36b65c304c084cb5ad2a85f6 Description: library to parse XMP metadata (Library) Exempi is a library to parse XMP metadata as defined by the specification. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. Package: libexempi3-dbgsym Source: exempi Version: 2.4.1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7420 Depends: libexempi3 (= 2.4.1-1~nd100+1) Breaks: libexempi3-dbg (<< 2.3.0-1~) Replaces: libexempi3-dbg (<< 2.3.0-1~) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/e/exempi/libexempi3-dbgsym_2.4.1-1~nd100+1_i386.deb Size: 7550996 SHA256: dc9e8e93fa1d6ef3edd2db2721924793f9d94635db497a3be6d6620e45d3fd44 SHA1: 36c4fe23cc9b9db2555c4bdb285bfccdca6f5d24 MD5sum: 9ab31d6be5eae883cd092bfc4b222baa Description: debug symbols for libexempi3 Build-Ids: 0838462f1bfdb6a1ac3a31ff0aae79430c9d5959 Package: libfreenect-bin Source: libfreenect Version: 1:0.5.3-3~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 287 Depends: neurodebian-popularity-contest, freeglut3, libc6 (>= 2.27), libfreenect0.5 (>= 1:0.5.2), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5.2) Breaks: libfreenect-demos (<< 1:0.1.2+dfsg-1) Replaces: libfreenect-demos (<< 1:0.1.2+dfsg-1) Homepage: http://openkinect.org/ Priority: extra Section: utils Filename: pool/main/libf/libfreenect/libfreenect-bin_0.5.3-3~nd100+1_i386.deb Size: 57072 SHA256: 491aadd5c73702eab734fe25f58d92bd85ff8e03b0f78f65a4899708db722bba SHA1: 8108bcb588a3cd04d4b233395b9aa4ab4416e277 MD5sum: 4182354a9409516fdc6a57b42f89f93a Description: library for accessing Kinect device -- utilities and samples libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package includes utilities and sample programs for kinect. Package: libfreenect-bin-dbgsym Source: libfreenect Version: 1:0.5.3-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 335 Depends: libfreenect-bin (= 1:0.5.3-3~nd100+1) Priority: optional Section: debug Filename: pool/main/libf/libfreenect/libfreenect-bin-dbgsym_0.5.3-3~nd100+1_i386.deb Size: 238280 SHA256: 1099f21f4ecf56207a2e7398f34fb8b6b2721edc75a6db1f86e57c8680087818 SHA1: e29153d366855a784631102d829a54b1a7a724bc MD5sum: 0549c412322e47cb2d1eed15e0baa5c6 Description: debug symbols for libfreenect-bin Build-Ids: 02a35890a008cdb48c93eb6ba75269fb9d077046 55df235be47e3b51e6904447e07fcd35a89681de 59e228d35833d9916c89215e56ba55c603be4d41 5c56a323ee9787c341e286cd0694953c7ddf44a7 6034721d8207ca3cb1e2c27a8f4347f883d0198f 79d1b2348c2689f72083f2c8624b7c56317b1760 7e1b377262375db69441cd34d34722023a6df936 a3f6528dfd5eec68a0fb18a22429ffab2c79788d a897b458274ca85bb7fe406b2d9fa696d31b3358 c485fd5ba4aafa45d263ab4b4bcc251e93e231a4 d0db8fd32061671b9e28ff6fcb0a0b0f166f2430 e59f4577d9bd9edb1c15d431b1be7e5bb2f208f6 f0cad98221f49884c6b7fce927d6898e94eecfd7 Package: libfreenect-demos Source: libfreenect Version: 1:0.5.3-3~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, libfreenect-bin Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-demos_0.5.3-3~nd100+1_i386.deb Size: 9060 SHA256: ab468ff0cf7045e1df0977f18dda27326855710c52f3a3143cf7875ce328dd05 SHA1: 04dd13ad5324119b934ae3ecc8e84b142669e46f MD5sum: 1e9b07afdaf156ec8b448112398ee85a Description: library for accessing Kinect device -- dummy package libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package is a metapackage to do the transition from libfreenect-demos to libfreenect-bin. This package can be removed after installation. Package: libfreenect-dev Source: libfreenect Version: 1:0.5.3-3~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 79 Depends: neurodebian-popularity-contest, libfreenect0.5 (= 1:0.5.3-3~nd100+1), libusb-1.0-0-dev (>= 1.0.18~) Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-dev_0.5.3-3~nd100+1_i386.deb Size: 19816 SHA256: 062c253735af5b540b5d541e7eb82633844404f906db6c71bb1aeb4450ef467a SHA1: 8797ec49e8c2d384b8197adb0b0f789269344899 MD5sum: 7097c9739ecb54cce52c4d2e31cb3952 Description: library for accessing Kinect device -- development files libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the development package containing the libraries and header for software development with libfreenect. Package: libfreenect-doc Source: libfreenect Version: 1:0.5.3-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 869 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.5.3-3~nd100+1_all.deb Size: 142336 SHA256: 5ebbe49cd66bec1277da224a385d24c08fcf30b883011141adc62aee5c1a43b4 SHA1: 127a85133a117b8ea0bbea5e71320fee0f7fceea MD5sum: 814b10015e5bab57a9fb88709f9af94f Description: library for accessing Kinect device -- documentation libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the documentation of the API of libfreenect. Package: libfreenect0.5 Source: libfreenect Version: 1:0.5.3-3~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 140 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libusb-1.0-0 (>= 2:1.0.12) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.5_0.5.3-3~nd100+1_i386.deb Size: 46004 SHA256: 97e96a9087de3d295bf650cd9c3ddfb2a8b263332b4ea8d52ba700daa8522bd7 SHA1: 3a7b3edceb1eee416e6fed0cab5a1a0045fac562 MD5sum: 62fff134cec2aeec8f41a90481730071 Description: library for accessing Kinect device libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the shared library of libfreenect. Package: libfreenect0.5-dbgsym Source: libfreenect Version: 1:0.5.3-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 118 Depends: libfreenect0.5 (= 1:0.5.3-3~nd100+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/libf/libfreenect/libfreenect0.5-dbgsym_0.5.3-3~nd100+1_i386.deb Size: 89664 SHA256: 8c1897ddfc57f2554ed1ac12abac0a136a03baa8643e5a02c9f1b146797713c1 SHA1: 55d8d58f5be47059de7deb04d1103ba481a23b72 MD5sum: b53205129ad563f9b3f4deaf2d79348a Description: debug symbols for libfreenect0.5 Build-Ids: 085719b716caec92383332f65731db5e267c1da9 25ff70efdc9fb703f9c6d0081314300962464eb0 956fb7747d423208d6e64c9fc4ff61f952f53442 Package: libgdf-dev Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.3-3~nd100+1) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.3-3~nd100+1_i386.deb Size: 21108 SHA256: 75b82a9aeeb4d4f3a774f9f2150f18b01d5488e3e1da327118162ef80c548577 SHA1: 6f598ba97012592b3b6dd7f7b985c139796eb3d7 MD5sum: 620b50ab6e483cfea000bd27d529ce90 Description: IO library for the GDF -- development library GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the header files and static library. Package: libgdf0 Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 341 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.3-3~nd100+1_i386.deb Size: 103576 SHA256: 240ea4aac66c3be40c7a306b2a0fdefeea8c4004694025bc0044d3669c52cd20 SHA1: 26e7dc975ef31f569a89d5774f1fb3525bd9b31c MD5sum: 603d49f1dcf1daf671b30172f867fbf2 Description: IO library for the GDF (general dataformat for biosignals) GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package contains the shared library. Package: libgdf0-dbgsym Source: libgdf Version: 0.1.3-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1250 Depends: libgdf0 (= 0.1.3-3~nd100+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbgsym_0.1.3-3~nd100+1_i386.deb Size: 1200176 SHA256: 8a1eba5053a7bc48a463062741562c87f75477ac6b4d330f20ef31cf94272fa6 SHA1: 40a17c49fe749c6ff6add09a8f8c8d7fccd7c604 MD5sum: bac6040a2ba255fdb07069da6433220c Description: debug symbols for libgdf0 Build-Ids: 42547a86f025348087634c0e8b9e80fcc5f980db Package: libghc-filepath-bytestring-dev Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 777 Depends: neurodebian-popularity-contest, libghc-base-dev-4.11.1.0-3abbc, libghc-bytestring-dev-0.10.8.2-1e712, libghc-unix-dev-2.7.2.2-50fd2, libatomic1 (>= 4.8), libc6 (>= 2.3.6-6~), libgmp10 Suggests: libghc-filepath-bytestring-doc, libghc-filepath-bytestring-prof Provides: libghc-filepath-bytestring-dev-1.4.2.1.6-3f7ce Homepage: https://hackage.haskell.org/package/filepath-bytestring Priority: optional Section: haskell Filename: pool/main/h/haskell-filepath-bytestring/libghc-filepath-bytestring-dev_1.4.2.1.6-1~nd100+1_i386.deb Size: 116792 SHA256: 0cf036857cf61bcc9d1cd88dc176ba85de7aa3a981e1b314e20902f39ec646c6 SHA1: 7d8ecd1805befcc8e7be69cfd8df90198994ccdf MD5sum: e7aa5f96f9f70a4c6c9e30646b292baa Description: library for manipulating RawFilePaths This package provides functionality for manipulating RawFilePath values. It can be used as a drop in replacement for the filepath library to get the benefits of using ByteStrings. It provides three modules: . * "System.FilePath.Posix.ByteString" manipulates POSIX/Linux style RawFilePath values (with / as the path separator). . * "System.FilePath.Windows.ByteString" manipulates Windows style RawFilePath values (with either \ or / as the path separator, and deals with drives). . * "System.FilePath.ByteString" is an alias for the module appropriate to your platform. . All three modules provide the same API, and the same documentation (calling out differences in the different variants). . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Ghc-Package: filepath-bytestring-1.4.2.1.6-3RbnVi4rUuA2gDcUktLBER Package: libghc-filepath-bytestring-doc Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 536 Depends: neurodebian-popularity-contest, haddock-interface-33 Recommends: ghc-doc, libjs-mathjax Homepage: https://hackage.haskell.org/package/filepath-bytestring Priority: optional Section: doc Filename: pool/main/h/haskell-filepath-bytestring/libghc-filepath-bytestring-doc_1.4.2.1.6-1~nd100+1_all.deb Size: 61644 SHA256: f19ca6476a46df1c312020a2f5f2e4c4ca1fbac26ba558ffbbf344ac9364c384 SHA1: 361a2ffe40169ca334e023e6f203e63713b4d73a MD5sum: e96e7fe2aff55fcf67e866df6cf59015 Description: library for manipulating RawFilePaths; documentation This package provides functionality for manipulating RawFilePath values. It can be used as a drop in replacement for the filepath library to get the benefits of using ByteStrings. It provides three modules: . * "System.FilePath.Posix.ByteString" manipulates POSIX/Linux style RawFilePath values (with / as the path separator). . * "System.FilePath.Windows.ByteString" manipulates Windows style RawFilePath values (with either \ or / as the path separator, and deals with drives). . * "System.FilePath.ByteString" is an alias for the module appropriate to your platform. . All three modules provide the same API, and the same documentation (calling out differences in the different variants). . This package provides the documentation for a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Package: libghc-filepath-bytestring-prof Source: haskell-filepath-bytestring Version: 1.4.2.1.6-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 609 Depends: neurodebian-popularity-contest, libghc-filepath-bytestring-dev (= 1.4.2.1.6-1~nd100+1), libghc-base-prof-4.11.1.0-3abbc, libghc-bytestring-prof-0.10.8.2-1e712, libghc-unix-prof-2.7.2.2-50fd2 Provides: libghc-filepath-bytestring-prof-1.4.2.1.6-3f7ce Homepage: https://hackage.haskell.org/package/filepath-bytestring Priority: optional Section: haskell Filename: pool/main/h/haskell-filepath-bytestring/libghc-filepath-bytestring-prof_1.4.2.1.6-1~nd100+1_i386.deb Size: 91588 SHA256: 8b1d9ee2f6bd016f488f6206304081a223509556b79afa0e3fadea221e62df8a SHA1: 023e60d79d96906f3ed566405988827893faf7cc MD5sum: b428c45429a7806ec87d1ba3112fcb13 Description: library for manipulating RawFilePaths; profiling libraries This package provides functionality for manipulating RawFilePath values. It can be used as a drop in replacement for the filepath library to get the benefits of using ByteStrings. It provides three modules: . * "System.FilePath.Posix.ByteString" manipulates POSIX/Linux style RawFilePath values (with / as the path separator). . * "System.FilePath.Windows.ByteString" manipulates Windows style RawFilePath values (with either \ or / as the path separator, and deals with drives). . * "System.FilePath.ByteString" is an alias for the module appropriate to your platform. . All three modules provide the same API, and the same documentation (calling out differences in the different variants). . This package provides a library for the Haskell programming language, compiled for profiling. See http://www.haskell.org/ for more information on Haskell. Package: libgiftiio-dev Source: gifticlib Version: 1.0.9-2~nd100+1 Architecture: 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: libglm-dev Source: glm Version: 0.9.9.6-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2159 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: https://glm.g-truc.net/ Priority: optional Section: libdevel Filename: pool/main/g/glm/libglm-dev_0.9.9.6-1+nd1~nd100+1_all.deb Size: 175996 SHA256: 66e73d8ede50521f3dffb68eb33696c2958dbd517431592cd7929d6361089429 SHA1: 4dcfa8bf665a472f222acf1d50ca2b4204c4fcc5 MD5sum: af0d59fb747b0928ce558cc1de2df787 Description: C++ library for OpenGL GLSL type-based mathematics OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specification. . GLM provides classes and functions designed and implemented with the same naming conventions and functionalities as GLSL, so that when a programmer knows GLSL, he knows GLM as well, which makes it really easy to use. . This project isn't limited to GLSL features. An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations, quaternions, half-based types, random numbers, et cetera. . This library works perfectly together with OpenGL but it also ensures interoperability with other third party libraries and SDKs. It is a good candidate for software rendering (such as raytracing, rasterisation), image processing, physic simulations and any context that requires a simple and convenient mathematics library. Package: libglm-doc Source: glm Version: 0.9.9.6-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12702 Depends: neurodebian-popularity-contest Recommends: libjs-jquery Multi-Arch: foreign Homepage: https://glm.g-truc.net/ Priority: optional Section: doc Filename: pool/main/g/glm/libglm-doc_0.9.9.6-1+nd1~nd100+1_all.deb Size: 499208 SHA256: 6473bca445f7fb222edaf4897cad6ed9b45bc7960844ba81848b547f05c8873d SHA1: c3a3278d4e5e53001560778acb1ffda6d019e117 MD5sum: 2ba0c2ae32b9371edc829fa5a0889ac7 Description: documentation for the OpenGL Mathematics (GLM) library OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specification. . This package contains the OpenGL Mathematics manual in HTML and PDF formats. Package: libopenxr-dev Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 337 Depends: neurodebian-popularity-contest, libopenxr-loader1 (= 1.0.20~dfsg1-1~nd100+1) Suggests: openxr-layer-corevalidation (= 1.0.20~dfsg1-1~nd100+1) Multi-Arch: same Homepage: https://github.com/KhronosGroup/OpenXR-SDK-Source Priority: optional Section: libdevel Filename: pool/main/o/openxr-sdk-source/libopenxr-dev_1.0.20~dfsg1-1~nd100+1_i386.deb Size: 47860 SHA256: ddc9d733e8004bbd7af19183118465821617954010e8c29a5cb28bbc94175784 SHA1: c03ababc6fc677542e249ab4d54b9bf733d289b3 MD5sum: 7d79323bb7e4a4f262cac725e3abf8c8 Description: OpenXR software development kit -- development headers OpenXR is an API specification for writing portable, cross-platform virtual reality (VR) and augmented reality (AR) software. . This package includes header files needed for development. Package: libopenxr-loader1 Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 645 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), libgcc1 (>= 1:4.2), libjsoncpp1 (>= 1.7.4), libstdc++6 (>= 5.2) Multi-Arch: same Homepage: https://github.com/KhronosGroup/OpenXR-SDK-Source Priority: optional Section: libs Filename: pool/main/o/openxr-sdk-source/libopenxr-loader1_1.0.20~dfsg1-1~nd100+1_i386.deb Size: 221904 SHA256: 77b9c56f117e36709c8e582bcdf77a9f0835b23369827c8e28370d172c847e09 SHA1: 5e27a75ab72f06b79854bba2c5de81b1130ebf63 MD5sum: fc11db76e7a0a99172218276259b4044 Description: OpenXR loader library OpenXR is an API specification for writing portable, cross-platform virtual reality (VR) and augmented reality (AR) software. . This package contains the OpenXR loader, which is used by OpenXR-based software to access the active runtime and handle API layers. . To run OpenXR-based software, an OpenXR runtime is needed in addition to this package. Package: libopenxr-loader1-dbgsym Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2076 Depends: libopenxr-loader1 (= 1.0.20~dfsg1-1~nd100+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/o/openxr-sdk-source/libopenxr-loader1-dbgsym_1.0.20~dfsg1-1~nd100+1_i386.deb Size: 1992884 SHA256: d6803fccb4cd098a30a3cec3810a079d5ae7833417c23fcbbf3a2e44e0289283 SHA1: c921a7ffa6ba1e69cf8fb9e90a3311cf9215a017 MD5sum: 02e50fb66ae9bba2c13888c3536a2c00 Description: debug symbols for libopenxr-loader1 Build-Ids: 1dc22d0e8050dcaa318634dc387d48366a24ba0a Package: libopenxr-utils Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 346 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.2), libglx0, libopengl0, libopenxr-loader1 (>= 1.0.3), libstdc++6 (>= 6), libvulkan1, libx11-6, libxxf86vm1 Homepage: https://github.com/KhronosGroup/OpenXR-SDK-Source Priority: optional Section: graphics Filename: pool/main/o/openxr-sdk-source/libopenxr-utils_1.0.20~dfsg1-1~nd100+1_i386.deb Size: 131048 SHA256: 2dbd1df880cdbb01f8088f12779c8c8342a2b038b822ff4e128f2ba69a2a5c80 SHA1: d72d409f728207dbad3fa5f9691a85d602f4fa21 MD5sum: 7f2a60d3e2f19fc170962a0267030c2d Description: OpenXR software development kit -- utilities OpenXR is an API specification for writing portable, cross-platform virtual reality (VR) and augmented reality (AR) software. . This package includes two utility binaries from the OpenXR-SDK-Source repository: . - openxr_runtime_list - Provides information on the active OpenXR runtime. - hello_xr - A sample OpenXR application that works with multiple graphics APIs. Package: libopenxr-utils-dbgsym Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1070 Depends: libopenxr-utils (= 1.0.20~dfsg1-1~nd100+1) Priority: optional Section: debug Filename: pool/main/o/openxr-sdk-source/libopenxr-utils-dbgsym_1.0.20~dfsg1-1~nd100+1_i386.deb Size: 1032564 SHA256: e742351dba90f480427ef09c6b1f3290a985689d593c7a9882d5c68b7248f614 SHA1: 7f2962d5652b0d62486d6722d060d1833a7e23e8 MD5sum: c044f8cdb0030bf316ed64cc0d9d07a7 Description: debug symbols for libopenxr-utils Build-Ids: 0f0922f177de51311115ab75df1d9bdab9b279f7 f4f9acff456e0317ba46de37d73ab49be71fe0fd Package: libqt5pas-dev Source: libqtpas Version: 2.6~beta-6~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1371 Depends: neurodebian-popularity-contest, libqt5pas1 (= 2.6~beta-6~nd100+1) Suggests: fpc Multi-Arch: same Homepage: http://users.telenet.be/Jan.Van.hijfte/qtforfpc/fpcqt4.html Priority: optional Section: libdevel Filename: pool/main/libq/libqtpas/libqt5pas-dev_2.6~beta-6~nd100+1_i386.deb Size: 142328 SHA256: c4842793b8e535f19ecd8b13161a15340b648579f3441596d498d73aae982459 SHA1: e7365bd68b81b344f4f2c090ab3fbad29f642818 MD5sum: 5579a0ecde382834924c8c72577d3981 Description: Development files for Qt5Pas Provides interface for Pascal applications to the Qt5 C++ libraries. This binding does not cover the whole Qt5 framework, it just contains all classes needed to use Qt as a widgetset. . This package contains files needed to develop Qt5 based applications with Pascal. Package: libqt5pas1 Source: libqtpas Version: 2.6~beta-6~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3013 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libgl1, libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.8.0), libqt5network5 (>= 5.0.2), libqt5printsupport5 (>= 5.3.0), libqt5widgets5 (>= 5.3.0), libqt5x11extras5 (>= 5.6.0), libstdc++6 (>= 5) Multi-Arch: same Homepage: http://users.telenet.be/Jan.Van.hijfte/qtforfpc/fpcqt4.html Priority: optional Section: libs Filename: pool/main/libq/libqtpas/libqt5pas1_2.6~beta-6~nd100+1_i386.deb Size: 535760 SHA256: f12462ed4b64c77d6e22e6da2393561936eb8c58b00b47f58b021231acd168ae SHA1: bb13c207ab88b4d539e87bb08fd297da57e91429 MD5sum: 16a666d9fe42cbbae9a5033dd0f016b1 Description: Qt5 interface bindings for Pascal Provides interface for Pascal applications to the Qt5 C++ libraries. This binding does not cover the whole Qt5 framework, it just contains all classes needed to use Qt as a widgetset. Package: libqt5pas1-dbgsym Source: libqtpas Version: 2.6~beta-6~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 42503 Depends: libqt5pas1 (= 2.6~beta-6~nd100+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/libq/libqtpas/libqt5pas1-dbgsym_2.6~beta-6~nd100+1_i386.deb Size: 41549924 SHA256: 80fe8c886f0303008437721be00c6c312eebafb36abafec61202c65fc85d5fd3 SHA1: be8b194e85d055493d23f0980bf71eb47a3c1704 MD5sum: 1ee46849030c746fb5afc3993469b08b Description: debug symbols for libqt5pas1 Build-Ids: 559da3c772ad58f8b2200ad56924852268ca318f 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. 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Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: ncdu Version: 1.18-0.2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 125 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libncursesw6 (>= 6), libtinfo6 (>= 6) Homepage: https://dev.yorhel.nl/ncdu/ Priority: optional Section: admin Filename: pool/main/n/ncdu/ncdu_1.18-0.2~nd100+1_i386.deb Size: 54896 SHA256: 54680f84e76d9f368971d6d2527d07f3ab8c6f3d4657ec26158102bc9b0ccdc6 SHA1: 61c3e7eda9f6202e09673dc81e0feccfb48ff4bb MD5sum: 9aa425006a55ef9fc15b476b633419d6 Description: ncurses disk usage viewer Ncdu is a ncurses-based du viewer. It provides a fast and easy-to-use interface through famous du utility. It allows one to browse through the directories and show percentages of disk usage with ncurses library. 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This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.42.2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: gnupg2 | gnupg, dirmngr Breaks: neurodebian-keyring (<< 0.34~) Replaces: neurodebian-keyring (<< 0.34~) Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-archive-keyring_0.42.2~nd100+1_all.deb Size: 6840 SHA256: 81fff651628b011f705c71b9aba8231cab5d8440f930abd39bfca2ebec6d9c21 SHA1: 324b675af3ccaa51101ffedf2cf3c8342de8ac58 MD5sum: fe2bab04a7d06d01529efc032d423833 Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. 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This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.42.2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 Depends: devscripts, neurodebian-archive-keyring Recommends: python3, zerofree, moreutils, time, debian-archive-keyring, apt-utils, cowbuilder, neurodebian-freeze Suggests: virtualbox-ose, virtualbox-ose-fuse, singularity-container Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.42.2~nd100+1_all.deb Size: 30624 SHA256: 500d3e4714a36636b749b4450c60af934c5addd5fae828e8273369b4e3387ece SHA1: f1fea94ccf4a73badd2ad7e09cb5f082e9a67203 MD5sum: 9e93c2dba74a7d847d687289a5010acb Description: neuroscience-oriented distribution - development tools The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-freeze Source: neurodebian Version: 0.42.2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.42.2~nd100+1_all.deb Size: 11448 SHA256: ed7b9b764dad37bce55e6caa0463ed8e19c433cf62d5d319f315f249eedddf90 SHA1: 2d94a7854bc8ae6d6efe1a21e75a336370b155d6 MD5sum: 3ed3e3d905ed89aa647a6d235c9e7827 Description: nd_freeze tool to freeze APT sources to use snapshots The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This minimalistic package provides nd_freeze script to be used in rich or minimalistic environments (such as Docker or Singularity recipes) to freeze their APT sources. Intended to assist making such images reproducible. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.42.2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.42.2~nd100+1_all.deb Size: 9032 SHA256: 828c16fd8390bc04b975009f93984be708f23c1bbce7054469c3dd24ada8c0de SHA1: 2f0af3c7cfedfca1a8c0992a78290415deea2226 MD5sum: f43f93015e927ca11b14c63e66e27420 Description: neuroscience-oriented distribution - popcon integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (either Debian or Ubuntu) popcon server. . Participating in popcon is important for the following reasons: * Popular packages receive more attention from developers; bugs are fixed faster and updates are provided quicker. * It ensures that support is not dropped for a previous release of Debian or Ubuntu while there are active users. * User statistics may be useful for upstream research software developers seeking funding for continued development. . This requires that popcon is activated for the underlying distribution (Debian or Ubuntu), which can be achieved by running "dpkg-reconfigure popularity-contest" as root. Package: nuitka Version: 1.3.5+ds-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23502 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python3-jinja2, python3-appdirs | base-files (<< 7.2), python3-glob2 | base-files (<< 9.10), python3-dev, base-files (>= 11) | python-jinja2, base-files (>= 11) | python-yaml, base-files (>= 11) | base-files (<< 9.10) | python-glob2, zlib1g-dev, libzstd-dev | base-files (<= 9), ccache, patchelf, python3:any (>= 3.3~), python:any (<< 2.8), python:any (>= 2.7~) Recommends: python3-lxml, python3-tqdm, strace, libfuse2, gdb | lldb Homepage: https://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_1.3.5+ds-1~nd100+1_all.deb Size: 2180284 SHA256: ea5313b14944f8e3b188efcc4a947c7e665734f1d2b982051bdbb5127070609a SHA1: 2c474b538c67dabd36c299ba840b87365dc2572f MD5sum: 9c167dabee19a269726354dedc44f4b3 Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: octave-gdf Source: libgdf Version: 0.1.3-3~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 339 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libgdf0 (>= 0.1.3), libgomp1 (>= 4.2.1), liboctave6, libstdc++6 (>= 5.2) Homepage: https://github.com/mbillingr/libgdf Priority: optional Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.3-3~nd100+1_i386.deb Size: 86320 SHA256: e100b30843d927b52195af560a2a0978f50687dff8b8cc83e33c1895e94ae82c SHA1: a1a4acdc147e31eb5c00d9420ef1bd71c1c67942 MD5sum: 74c58b2e02f5a3e4c071580da0982ea9 Description: IO library for the GDF -- Octave interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides Octave bindings for libgdf. Package: octave-gdf-dbgsym Source: libgdf Version: 0.1.3-3~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1122 Depends: octave-gdf (= 0.1.3-3~nd100+1) Priority: optional Section: debug Filename: pool/main/libg/libgdf/octave-gdf-dbgsym_0.1.3-3~nd100+1_i386.deb Size: 1060824 SHA256: ffa23a1ce30509e756f3f804a5fcfb24add1b025d116b310006e19c85d69b2b8 SHA1: 9e5cba192bd7647d2e05d30c3da667010043d656 MD5sum: 30fcf18d3f3a9fa8e602c20974c5c984 Description: debug symbols for octave-gdf Build-Ids: 43c3c30f44887298573e5ed7357b47b46c045b3b cb197606d275440fcaab3efe45825e2b67c01348 Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4897 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.28), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgomp1 (>= 4.9), libgstreamer-plugins-base1.0-0 (>= 1.6.0), libgstreamer1.0-0 (>= 1.4.0), liboctave6, libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), libstdc++6 (>= 5.2), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1, libxcb-dri3-0, libxcb1, libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxml2 (>= 2.6.27), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.17.6.dfsg1-1~nd100+1), psychtoolbox-3-lib (= 3.0.17.6.dfsg1-1~nd100+1) Recommends: octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.17.6.dfsg1-1~nd100+1_i386.deb Size: 961580 SHA256: 677a5e8bc80fb6b8940c515074d47cd3ae56bb04ca87f34e18ab0ae5ec1d4793 SHA1: be14d1510cfef56572d4aa00b06bde9dbbce2308 MD5sum: f12850e060bb1248f9628fcde15816c4 Description: toolbox for vision research -- Octave bindings Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . See also http://www.psychtoolbox.org/UsingPsychtoolboxOnUbuntu for additional information about systems tune-up and initial configuration. . This package contains bindings for Octave. Package: openstack-pkg-tools Version: 112~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 538 Depends: neurodebian-popularity-contest, python3-pip, gettext, jq, po-debconf Recommends: autopkgtest, madison-lite, pristine-tar Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/o/openstack-pkg-tools/openstack-pkg-tools_112~nd100+1_all.deb Size: 100604 SHA256: dbf4cf20dc451f733d8014ac1503063d750f79463c8903d86f50f6f2967e6aca SHA1: 86afd7d8798ae05b6dc48dc6d25919560fd6467d MD5sum: 0dd9486090498ff5c38521dee1c1ad1b Description: Tools and scripts for building Openstack packages in Debian This package contains some useful shell scripts and helpers for building the OpenStack packages in Debian, including: . * shared code for maintainer scripts (.config, .postinst, ...). * init script templates to automatically generate init scripts for sysv-rc and systemd. * tools to build backports using sbuild and/or Jenkins based on gbp workflow. * utility to maintain git packaging (to be included in a debian/rules). . Even if this package is maintained in order to build OpenStack packages, it is of a general purpose, and it can be used for building any package. Package: openxr-layer-apidump Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1422 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Multi-Arch: same Homepage: https://github.com/KhronosGroup/OpenXR-SDK-Source Priority: optional Section: graphics Filename: pool/main/o/openxr-sdk-source/openxr-layer-apidump_1.0.20~dfsg1-1~nd100+1_i386.deb Size: 284192 SHA256: 1a0cc3045694695120decb759da60cae7acda781719d2f60c9fcbc455f89bb5a SHA1: 720e8952d8b146d702c629dd76108928871bdd98 MD5sum: 00e593284d4bc31eba37b3c4a46e0609 Description: OpenXR software development kit -- API dump layer OpenXR is an API specification for writing portable, cross-platform virtual reality (VR) and augmented reality (AR) software. . This package contains the XR_APILAYER_LUNARG_api_dump OpenXR API layer from the OpenXR-SDK-Source repository. It may be explicitly enabled by an environment variable or an application. . The XR_APILAYER_LUNARG_api_dump layer outputs or saves a dump of all OpenXR calls made. Package: openxr-layer-apidump-dbgsym Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6295 Depends: openxr-layer-apidump (= 1.0.20~dfsg1-1~nd100+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/o/openxr-sdk-source/openxr-layer-apidump-dbgsym_1.0.20~dfsg1-1~nd100+1_i386.deb Size: 5862452 SHA256: 1fb6cc8c4d12c0279726f62c4493a66e6aca25fb47af37ccd9372af98871be3b SHA1: 29b42423e33f4c5f0846eac8c50eff33fa55f50c MD5sum: 6a26a74808c8bd3f979609cadee9c6b9 Description: debug symbols for openxr-layer-apidump Build-Ids: ddcbea57d90b6ac023c1087b98f20898827d4590 Package: openxr-layer-corevalidation Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1526 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Multi-Arch: same Homepage: https://github.com/KhronosGroup/OpenXR-SDK-Source Priority: optional Section: graphics Filename: pool/main/o/openxr-sdk-source/openxr-layer-corevalidation_1.0.20~dfsg1-1~nd100+1_i386.deb Size: 299828 SHA256: bf5878263def2d30e8041f60db02d0563e4d6467d87cad8a9bd6fc86e152e8ad SHA1: 0dccb2476ab935725e86906a5b664eefb6a6b986 MD5sum: 83f3d6465e770b62da3e527b0def0b39 Description: OpenXR software development kit -- validation layer OpenXR is an API specification for writing portable, cross-platform virtual reality (VR) and augmented reality (AR) software. . This package contains the XR_APILAYER_LUNARG_core_validation OpenXR API layer from the OpenXR-SDK-Source repository. It may be explicitly enabled by an environment variable or an application. . The XR_APILAYER_LUNARG_core_validation layer validates API call input and can provide a summary of usage errors. Package: openxr-layer-corevalidation-dbgsym Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5150 Depends: openxr-layer-corevalidation (= 1.0.20~dfsg1-1~nd100+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/o/openxr-sdk-source/openxr-layer-corevalidation-dbgsym_1.0.20~dfsg1-1~nd100+1_i386.deb Size: 4758992 SHA256: 6714fb66ffa6559920db733c6925f1fb0d2fdf05c09b1297a13abfa364b04b6c SHA1: a8710743f9f874cf7e1edcec0434e706620070b9 MD5sum: bc8bc43737b59fb6d5c92529e6dee4a3 Description: debug symbols for openxr-layer-corevalidation Build-Ids: 1852ad99f05551183cfc62776fad576cb3cb54fb Package: patool Version: 1.12-3+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: file Suggests: arj, bzip2 | lbzip2 | pbzip2, cabextract | lcab, ncompress, cpio | bsdcpio, lzop, p7zip-full, rar | unrar | zip | unzip, rpm2cpio, binutils, lha, unace | unace-nonfree | nomarch, unalz, lrzip (>= 0.551), tar (>= 1.26) | bsdtar, xdms, orange, lzip | plzip | clzip | pdlzip, sharutils, flac, archmage, genisoimage, python-argcomplete Homepage: http://wummel.github.io/patool/ Priority: optional Section: utils Filename: pool/main/p/patool/patool_1.12-3+nd1~nd100+1_all.deb Size: 37380 SHA256: ea6ce2e19856da4fddccd0842d7503abf3ede3ae43b13665dbead8dadd21ad68 SHA1: 4c8fc00a771d538d752300982947bce0cd8acdba MD5sum: 7496ce2ca5630d264e2765e27d22c710 Description: command line archive file manager Various archive formats can be created, extracted, tested, listed, compared, searched and repacked by patool. The archive format is determined with file and as a fallback by the archive file extension. . patool supports 7z (.7z), ACE (.ace), ADF (.adf), ALZIP (.alz), AR (.a), ARC (.arc), ARJ (.arj), BZIP2 (.bz2), CAB (.cab), compress (.Z), CPIO (.cpio), DEB (.deb), DMS (.dms), FLAC (.flac), GZIP (.gz), ISO (.iso), LZH (.lha, .lzh), LZIP (.lz), LZMA (.lzma), LZOP (.lzo), RAR (.rar), RPM (.rpm), RZIP (.rz), SHAR (.shar), SHN (.shn), TAR (.tar), XZ (.xz), ZIP (.zip, .jar) and ZOO (.zoo) formats. . It relies on helper applications to handle those archive formats (for example bzip2 for BZIP2 archives). . The archive formats TAR, ZIP, BZIP2 and GZIP are supported natively and do not require helper applications to be installed. Package: psychopy Version: 1.85.3.dfsg-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15994 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-requests, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython, python-future Suggests: python-iolabs, python-pyxid, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.85.3.dfsg-1~nd100+1_all.deb Size: 6666356 SHA256: 501be7b5d955e73a73fcc0cc523a542e2b9855a7d9efedfd5e7870c7e53d1522 SHA1: 1faf53e1e15af8a16d1a4719a3f15e3d4e5a1aa2 MD5sum: 7b6d3d65bf52fd741280b91b52cd2f82 Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 657424 Depends: neurodebian-popularity-contest Recommends: alsa-utils, gamemode Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.17.6.dfsg1-1~nd100+1_all.deb Size: 32596492 SHA256: ccdcf61fb27e7fea525d3a2eb6141e758af40c7fd6af7e94a81eed00d52fb4cf SHA1: 1772a03db195a3311361e3977269bbf6777e01a0 MD5sum: 5d013d113a7c458ea82a3cf031977356 Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: psychtoolbox-3-dbg Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 241 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.17.6.dfsg1-1~nd100+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.17.6.dfsg1-1~nd100+1_i386.deb Size: 173852 SHA256: 5580e495fdd7bbdf4319f92c1ec9881898f6d080bd8ac3c2659128dc84baf7ef SHA1: 9bbedce8bb7a47fa27d74398b620d5839c89d6f1 MD5sum: 8d0edbaebad799ecee06c0d759273b72 Description: toolbox for vision research -- debug symbols for binaries Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . To ease debugging and troubleshooting this package contains debug symbols for Octave bindings and other binaries. Build-Ids: 2c0634e46e15f957bd946226ad998ec3d12898d5 4c7f02b0bbeedefc5ddf060b76429a5ebae00ff6 Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 186 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, libvulkan1 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.17.6.dfsg1-1~nd100+1_i386.deb Size: 76028 SHA256: f9be60d3e9b4ddf392fc78e135b1b4651a9c3b49aa64cb29df48df860ea23052 SHA1: 28ae8bbf5f129f564335d3584c1030a5f5af1be9 MD5sum: 81561c4b977be4f5244bd55da0859f5d Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: pypy-hypothesis Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, pypy-enum34, pypy, pypy-attr, pypy-coverage Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/pypy-hypothesis_3.44.1-1~bpo9+1~nd100+1_all.deb Size: 161756 SHA256: 127e8628e3321370f0419a07e20cfe79858faf9b12748423dc799c0fae5af33e SHA1: e2ba3b79e25cfaa5572708b8a314b3ebd2f5cfd3 MD5sum: 85e3203ce304217d82838b058e8dc78b Description: advanced Quickcheck style testing library for PyPy Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the PyPy module. Package: pypy-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, pypy Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/pypy-json-tricks_3.11.0-1~nd100+1_all.deb Size: 19024 SHA256: 709d887281049d7b85ea050c05dc2a50dcfa6b11c05d1182f77750baf47c7ba0 SHA1: 37a98fbae6cfd1a8c4e479873857f93309992b75 MD5sum: 705a5fa9004f128f563934ce5012b49b Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: pypy-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, pypy Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/pypy-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14650 SHA256: 76fdeb72716499c4357486c73e1a178d3605b98757ec12dbaf0c6c16088fe518 SHA1: 769f10e69f65697be25a312a5d4a262c7f658d39 MD5sum: eb23aaa893aa6184e71f86efa5279af6 Description: Python 2 and 3 compatibility library (PyPy interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the PyPy module path. It is complemented by python-six and python3-six. Package: python-babel Version: 2.6.0+dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 421 Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd100+1), python-pkg-resources, python-tz, python2.7:any, python:any (<< 2.8), python:any (>= 2.7~) Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python-babel_2.6.0+dfsg.1-1~nd100+1_all.deb Size: 97508 SHA256: b47802b2a7f334b15d66ee2d100d02563ca0f000f26be7b2c372cff8161503af SHA1: 615de849f5e7cf5e90e64c69a98847c82f0060cf MD5sum: 1a7abcbf81aa13a45883163324406159 Description: tools for internationalizing Python applications - Python 2.x Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package provides the Python 2.x module. Package: python-babel-doc Source: python-babel Version: 2.6.0+dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 943 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://babel.pocoo.org/ Priority: optional Section: doc Filename: pool/main/p/python-babel/python-babel-doc_2.6.0+dfsg.1-1~nd100+1_all.deb Size: 189184 SHA256: d86244f4984afd2fc962d99004ca7fb013d29f6822bddb1ac9265c67a2f42649 SHA1: c92d03f21dc93b9047a9506f154888c042f82b69 MD5sum: ed61660370e7918d87d20f729c6f7151 Description: tools for internationalizing Python applications - documentation Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package contains the Babel documentation. Package: python-babel-localedata Source: python-babel Version: 2.6.0+dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20965 Depends: neurodebian-popularity-contest Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python-babel-localedata_2.6.0+dfsg.1-1~nd100+1_all.deb Size: 4082424 SHA256: 6d448b77e673eb7e587e7964e63475f6681908afaed6d80656cc4a76de68936c SHA1: 4d0d97d699d76098402e38f6dec7616b09b16ffa MD5sum: ac2079e8f2d972356b2591db4c61cb48 Description: tools for internationalizing Python applications - locale data files Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package contains the locale data files used by both python-babel and python3-babel. Package: python-boto Version: 2.44.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Provides: python2.7-boto Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python-boto_2.44.0-1~nd100+1_all.deb Size: 739672 SHA256: f89652b2bc2804fa9d8c00d9178837e68dc41d267695af38f087ae9ef87af067 SHA1: 19f010e86b66d5d04e72b9aa9b84eb4d2379bf3a MD5sum: fcaeee51e2b238b07d7ebae004f7f72b Description: Python interface to Amazon's Web Services - Python 2.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 2.x module. Package: python-bz2file Version: 0.98-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~) Provides: python2.7-bz2file Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python-bz2file_0.98-1~nd100+1_all.deb Size: 7904 SHA256: b7b26050822583e81531e4053a405ed8f5526153585dec126e38ab865ca848f4 SHA1: 2781ff25a0895a006df426d545c47fd7831a8190 MD5sum: 68149145d6fa948ddb8877962f30d59b Description: Python library for reading and writing bzip2-compressed files Bz2file is a Python library for reading and writing bzip2-compressed files. . It contains a drop-in replacement for the file interface in the standard library's bz2 module, including features from the latest development version of CPython that are not available in older releases. . Bz2file for Python2. Package: python-chardet Source: chardet Version: 3.0.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python-chardet_3.0.4-1~nd100+1_all.deb Size: 80396 SHA256: cfdb639d4027edd28db73da5a2bfc3e9af9e93f313397722b8ac4dfa580cc95a SHA1: 5403e92e3264577bf3c9810eb176390a9fcc9ed1 MD5sum: edb727b1d260695644fb9835d55d77f1 Description: universal character encoding detector for Python2 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. Package: python-datalad Source: datalad Version: 0.11.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4573 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180913~) | git-annex-standalone (>= 6.20180913~), patool, python-appdirs, python-fasteners, python-git (>= 2.1.6~), python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage, python-keyring, python-mock, python-msgpack, python-pil, python-requests, python-simplejson, python-six (>= 1.8.0), python-tqdm, python-wrapt, python-boto, python-chardet, python:any (<< 2.8), python:any (>= 2.7~) Recommends: python-exif, python-github, python-jsmin, python-html5lib, python-httpretty, python-libxmp, python-lzma, python-mutagen, python-nose, python-pyperclip, python-requests-ftp, python-vcr, python-whoosh Suggests: python-duecredit, python-bs4, python-numpy Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.11.8-1~nd100+1_all.deb Size: 950060 SHA256: aa3facf3776df313869a222746b45d8ea22e2d2f51f411625b79ffe8735192b2 SHA1: 5625c198f4931616ad3a7a8a2a30dcb43c4a0401 MD5sum: d279d6a4bf982be5bdf404f9b89fdebb Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 2, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python-dcmstack Source: dcmstack Version: 0.7-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 504 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python-pydicom, python:any (<< 2.8), python:any (>= 2.7~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python-dcmstack_0.7-1~nd100+1_all.deb Size: 76440 SHA256: 86b7b54d288087388516f7cff260c17f9fd5bc78c3bc75def857618c7abefd07 SHA1: 53bacc04ba61eb1e3e482e492d0b53bfcc346a0c MD5sum: 745886b8ece9aaae0fcbf440369a3d36 Description: DICOM to NIfTI conversion DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python package, and command line tools (dcmstack, and nitool), as well as the documentation in HTML format. Package: python-deprecation Version: 1.0.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python-deprecation_1.0.1-1~nd100+1_all.deb Size: 8510 SHA256: 904e099f90b7871c149adbd3d7be35e8e3c9098be821c339ef1aff04faec03d2 SHA1: 92c0e437c4fd51cde8ffb52c35c6fd0a88152393 MD5sum: 0588bedde980f3c0c12eb56df1e933da Description: Library to handle automated deprecations - Python 2.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 2.x module. Package: python-dicom Source: pydicom Version: 1.2.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python-dicom_1.2.1-1~nd100+1_all.deb Size: 4888 SHA256: df90b827394bdd3f8a81972ca2595cce02fb15a66c315860d637fbb1913b59d6 SHA1: e9c049a8e4a6f2949c633ed80efef531dcc8e097 MD5sum: 2ae2359feb46d23b46d1e2e4a3d09377 Description: transitional package for python-pydicom This is a transitional package. It can safely be removed. Package: python-dipy Source: dipy Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8634 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.14.0-1~nd100+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel (>= 2.1.0) Suggests: ipython Provides: python2.7-dipy Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.14.0-1~nd100+1_all.deb Size: 3062240 SHA256: 87b0e6e79a27969c020a7850b4b8ddb02e5a386540b9eb41e8d920509df9e0c6 SHA1: 03fb60cb9818fdb2eff868172343c0c329331904 MD5sum: 8c62f74ba229ddbc44e665c406f40ca8 Description: Python library for the analysis of diffusion MRI datasets DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging. . Here are some of the highlights: - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE and MAPMRI - Fiber tracking algorithms: deterministic and probabilistic - Native linear and nonlinear registration of images - Fast operations on streamlines (selection, resampling, registration) - Tractography segmentation and clustering - Many image operations, e.g., reslicing or denoising with NLMEANS - Estimation of distances/correspondences between streamlines and connectivity matrices - Interactive visualization of streamlines in the space of images Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16479 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://dipy.org Priority: extra Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.14.0-1~nd100+1_all.deb Size: 12643476 SHA256: 123fac32659bfd4fc535b3a70cfe64c6045be1440b02b76b08df43c4c817ed56 SHA1: 6a4dc8a19cb65eaea8c17736146c075459b91ef5 MD5sum: 05285aa2476a109e45f45698615586d6 Description: Python library for the analysis of diffusion MRI datasets -- documentation DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-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: 0.7.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 250 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.7.0-1~nd100+1_all.deb Size: 57264 SHA256: d918bf78a48dab3bf9170e47735051feea65b0d28c4ffd1d09af30ddde08c43f SHA1: 6c9c1edd98c4142f329a6d20751f794aa4af2221 MD5sum: 9ba5b05ed61f1b58d499c6addfdb87b2 Description: Publications (and donations) tracer - Python 2.X duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python-exif Version: 2.1.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-exif Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python-exif_2.1.2-1~nd100+1_all.deb Size: 30928 SHA256: 158580cf80d19da4c435467fc6b0418f7b3ca637fb163ce8b96b44d2fb54680c SHA1: 908d673c2cd2f0a290bbe49bb4ddcdd2d2c82f5c MD5sum: 9935895be8bb82e580f54b9746610b47 Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 2.x module. Package: python-fasteners Version: 0.12.0-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python-monotonic, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python-fasteners_0.12.0-3~nd100+1_all.deb Size: 14692 SHA256: 0c5c304431fdcd9c91c4d6967b416d0912899d3b799fb3b60607509548c42743 SHA1: 84dc47a34579319adf92251bc37f0abef6f569c5 MD5sum: c35ece3854c2074030c22ba838b26174 Description: provides useful locks - Python 2.7 Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 2.7 module. Package: python-filelock Version: 3.0.12-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~) Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python-filelock_3.0.12-1+nd1~nd100+1_all.deb Size: 8212 SHA256: 4429d39686af671a5ba17cfb848c9972a5644573fc75bbe0dc4f6bba4986f3fe SHA1: 9a3344bb2041de4430925dc94d81ecd9a0118b5e MD5sum: c460f3afa1bd8270d215540330746930 Description: platform independent file locking module (Python 2) This package contains a single module, which implements a platform independent file locking mechanism for Python. The lock includes a lock counter and is thread safe. This means, when locking the same lock object twice, it will not block. . This package installs the Python 2 version. Package: python-fsl Source: fslpy Version: 1.2.2-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), python-deprecation, python-indexed-gzip, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-wxgtk3.0 Conflicts: fsl-melview (<= 1.0.1+git9-ge661e05~dfsg.1-1) Provides: python2.7-fsl Priority: optional Section: python Filename: pool/main/f/fslpy/python-fsl_1.2.2-2~nd100+1_all.deb Size: 84288 SHA256: c5357959469fdc74ded339915381ef8b4b23310085c9c2519cf42f0f8523939a SHA1: ae1828d72360b9364dd3de0395fca492cf0084eb MD5sum: 36b211ec8891ac559838de1ac696d4d5 Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-fsleyes-props Source: fsleyes-props Version: 1.2.1-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-props (<= 1.0~) Replaces: python-props Provides: python-props, python2.7-fsleyes-props Priority: optional Section: python Filename: pool/main/f/fsleyes-props/python-fsleyes-props_1.2.1-3~nd100+1_all.deb Size: 75408 SHA256: 7970b4f572d0f97b70ac5e603fac9c3d260f38282eb1a60d29c87c7547c11d22 SHA1: 0ac50da293c6d0e7dbf81677639170f6fc353d17 MD5sum: 9127dcd1be874f7695d5abc26890505c Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-fsleyes-widgets Source: fsleyes-widgets Version: 0.2.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 375 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-fsleyes-widgets Priority: optional Section: python Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.2.0-2~nd100+1_all.deb Size: 69076 SHA256: 5e90d641332bf9faeae2713e69888f69c12325b9aa3ef002a5e6adbcc750f139 SHA1: b3b15e74b16d8b8cd84791d81e95a7331fd39c78 MD5sum: 1aa0af40996d1f415623ab23858cadd0 Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-git Version: 2.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1654 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.1.8-1~nd100+1_all.deb Size: 303368 SHA256: 6eef740fc676ea9a40c8fb116383eb7d82e2723684420efcebe977986b5d2325 SHA1: 8d15056d098fc781f0a660a13d342a9a6afb6700 MD5sum: c830187684dc735f551d5ffd5131eac1 Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 3.0.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1039 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.3+dfsg) Breaks: python-git Replaces: python-git Multi-Arch: foreign Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_3.0.5-1~nd100+1_all.deb Size: 131104 SHA256: 3e990cc6f7ac0ddfbb044e7c1c0c55aa40f9eebff6c1a9102abbb091d59e6663 SHA1: 33a792c01e6b44cdc012f1d0c3a76d3fa361e913 MD5sum: 87c0d3cbd0cd0c40dcd466b8fe594b66 Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-gitdb Version: 2.0.6-1~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python-smmap (>> 2), python:any (<< 2.8), python:any (>= 2.7~) Provides: python2.7-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python-gitdb_2.0.6-1~nd1~nd100+1_all.deb Size: 46996 SHA256: 987f25fb2242ff43e00b0b3af1e55acfa2ecd82666485043f3f6a39f2b05f999 SHA1: b68d75a1e0e7fc2c1b796162716b7d04fee471d1 MD5sum: 983e8d9990d1e4dca6abcecba566cb5d Description: pure-Python git object database (Python 2) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package contains the Python 2.x module. Package: python-github Source: pygithub Version: 1.40-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 807 Depends: neurodebian-popularity-contest, python-jwt, python-requests, python:any (<< 2.8), python:any (>= 2.7~) Conflicts: python-pygithub Replaces: python-pygithub Provides: python-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python-github_1.40-1+nd1~nd100+1_all.deb Size: 55568 SHA256: 5c35cb9febabb143a49bf83ad80443c9c1898a8f58abc5f47ee303afa2ca354e SHA1: cadd4330beb100eaab69845f07ed79f06968402c MD5sum: 785bc6779ae194e4037bbccaa4eb9de5 Description: Access to full Github API v3 from Python2 This is a Python2 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python-h5py Source: h5py Version: 2.9.0-6~nd2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3349 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, python-six, python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.4), libhdf5-openmpi-103 (>= 1.10.3), python-mpi4py Suggests: python-h5py-doc Homepage: http://www.h5py.org/ Priority: optional Section: python Filename: pool/main/h/h5py/python-h5py_2.9.0-6~nd2~nd100+1_i386.deb Size: 653948 SHA256: 756a302a9ff1b31f4b43e74d00990a6fe544c4482493709f85df329487498b09 SHA1: a3f8f0850eb41e61cb4d3711fd8c7cbcb3b5a93d MD5sum: 0ec8809e4481893b707189fbf4c50562 Description: general-purpose Python interface to hdf5 (Python 2) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the modules for Python 2. Package: python-h5py-dbg Source: h5py Version: 2.9.0-6~nd2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 14620 Depends: neurodebian-popularity-contest, python-dbg (<< 2.8), python-dbg (>= 2.7~), python-dbg:any (<< 2.8), python-dbg:any (>= 2.7~), python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, libc6 (>= 2.4), libhdf5-openmpi-103 (>= 1.10.3), python-h5py (= 2.9.0-6~nd2~nd100+1), python-numpy-dbg Multi-Arch: same Homepage: http://www.h5py.org/ Priority: optional Section: debug Filename: pool/main/h/h5py/python-h5py-dbg_2.9.0-6~nd2~nd100+1_i386.deb Size: 5416600 SHA256: e113370aeb09ee7df1a5635d7ba9745e3034c6b9ea0062800ee92dcf915fe276 SHA1: a726a7d8b3753a7a124665f3782a295029370374 MD5sum: 65c7e73d3ac62cc7e06fdbbb8d27b42c Description: debug extensions for h5py (Python 2) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the debug extensions for Python 2. 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HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the documentation. Package: python-httpretty Version: 0.8.14-1~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: 0.13.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 875 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), procps Recommends: python-numpy, python-pytest, python-simplejson, python-lz4, python-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.13.2-1~nd100+1_all.deb Size: 192376 SHA256: 6c59fc5ca0d905ab3e76379ba376508108e5ab66748c48f4ab0ae1885715392c SHA1: 2d9c5dbc2ba0cd8fbc915570ceaae68a04afdc85 MD5sum: 74725d078d2380801a96860300ced766 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 2 version. Package: python-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python-json-tricks_3.11.0-1~nd100+1_all.deb Size: 24620 SHA256: c96f7343c4447c11a311b17d75728db7e92f6d26710d59261ce70d1dfe79e0ac SHA1: 7c12e119a49c9d4feb0dc37e6ff83fa95a1e5aad MD5sum: 7f0b9066072021f8d87359bd75ff5f59 Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python2 module. Package: python-jsonschema-doc Source: python-jsonschema Version: 3.0.2-4~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 561 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/Julian/jsonschema Priority: optional Section: doc Filename: pool/main/p/python-jsonschema/python-jsonschema-doc_3.0.2-4~nd1~nd100+1_all.deb Size: 74328 SHA256: 439db829c2f85b41b2d7b79e55ad6e95963917d14dbb49e5526ecd949e2bec3a SHA1: 2aab36bb1124d9215c37228c9309a5e22ae8a25f MD5sum: c2db5ea036ab4bafd31a57f85c8f1a25 Description: An(other) implementation of JSON Schema (Draft 3 and 4) - doc JSON Schema is a specification for a JSON-based format for defining the structure of JSON data. JSON Schema provides a contract for what JSON data is required for a given application and how it can be modified, much like what XML Schema provides for XML. JSON Schema is intended to provide validation, documentation, and interaction control of JSON data. . This package provides the documentation. Package: python-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python-tz, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python-libxmp_2.0.1+git20140309.5437b0a-4~nd100+1_all.deb Size: 24436 SHA256: 216594f30921b5bc47b4b621b6a2276ddcbeee57d3cc7bdccad592527787acaa SHA1: d7762b6b56e778e5a04af8cd979f8efaf51851fa MD5sum: 15ec1ac52ef41a44cb1542d5f5e2af1d Description: Python library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python bindings. Package: python-libxmp-doc Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 238 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-libxmp, python3-libxmp Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-xmp-toolkit/python-libxmp-doc_2.0.1+git20140309.5437b0a-4~nd100+1_all.deb Size: 38396 SHA256: 63129936e87754af0e3487b7df963a472ebe6558637512bd2bdede84a0f25e43 SHA1: eb41f6b4f57b47770c32f6a58ec393a551eb0768 MD5sum: 86207cee3b61676a928bcd68861a1dbe Description: Python library for XMP metadata - documentation Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package contains the documentation. Package: python-monotonic Version: 1.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python-monotonic_1.1-2~nd100+1_all.deb Size: 5540 SHA256: c6352cb1064f3234a2926cb83704caae2ed31305f48f353bdc5e06fa29440a56 SHA1: 49f31c28928fa9b999c52d9e90495321dd7a7cf3 MD5sum: c9cdd9579a8a12b91c2f6c82a44acdd1 Description: implementation of time.monotonic() - Python 2.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 2.x module. Package: python-msgpack Source: msgpack-python Version: 0.4.8-1~nd100+1 Architecture: 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: 2.5.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65854 Depends: neurodebian-popularity-contest, python-numpy, python-six (>= 1.3), python2.7:any, python:any (<< 2.8), python:any (>= 2.7~), python-scipy, python-bz2file Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc, python-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.5.1-1~nd100+1_all.deb Size: 2666368 SHA256: d041a3bda9a6805cc42d290eb7a647c88c66ab852acfab351a58fa6f86887a77 SHA1: da4e86cd7f90886565c0627293222003c832dfd7 MD5sum: d14b9e13f295d92e269ba298651979a6 Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 3.2.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9685 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: https://nipy.org/nibabel/ Priority: optional Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_3.2.1-2~nd100+1_all.deb Size: 1592504 SHA256: a30b25c1a6f26f3689f79d81c2a5804f074abb685bffa68a37806941cea3561e SHA1: 2720dce0cf028124a7ec3757f0eba3ee17863b7e MD5sum: 8da05c16373c902ac988adb681f68cab Description: documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format. Package: python-nipy Source: nipy Version: 0.4.2-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3550 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.2-2~nd100+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.4.2-2~nd100+1_all.deb Size: 782956 SHA256: 06f3a01f3c2353d14406b055bf5b9dc5cdd85d00f2eb896f054a8df269ec0a7b SHA1: 69e3388a5e01dea71e93b045f5c8614c65daedad MD5sum: aaa27cf5f58e048ad1c1b11a9daf3c0d Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.4.2-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9402 Depends: neurodebian-popularity-contest, libjs-mathjax, libjs-sphinxdoc (>= 1.0) Recommends: python3-nipy Homepage: http://neuroimaging.scipy.org Priority: optional Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.2-3~nd100+1_all.deb Size: 1895652 SHA256: af5c908373fb1b0a32a62cd44d5381d493ea8e5175412e926945795397c82c6a SHA1: cc552198c2461c7eead73327ee73b5179079e973 MD5sum: b010b124a487f1c178aa526951837f25 Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-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: 1.1.9-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10997 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-concurrent.futures, python-configparser, python-dateutil (>= 2.2), python-funcsigs, python-future, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-scipy, python-simplejson, python-traits, python:any (>= 2.6.6-7~), python-traits (>= 4.5.0) | python-traits4 (>= 4.5.0), python-psutil Recommends: ipython, python-pytest, graphviz, python-xvfbwrapper, mayavi2, python-mock, python-pydotplus, python-pydot, python-cfflib Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants, python-pytest-xdist, python-bids Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_1.1.9-1~nd100+1_all.deb Size: 1887744 SHA256: 58ae803e04681579f96fc757c25f5d6f593da5a3aaa2b797f5e7087f9aae60b9 SHA1: 0d72dff6b88184fa6eb3234bc561a41750acfe9a MD5sum: cc4bd31ec71b550fffbb11bb8f4c0017 Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 1.6.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13348 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python3-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.6.0-1~nd100+1_all.deb Size: 1282792 SHA256: 91a15d7608a92d0618ebe572ceb2751f1aa81b249ff248eb0860517b7e0619aa SHA1: 7af73c9a0cc0e9ce7abaddf56f06ced53daf7304 MD5sum: 9563e588fc51158b04843376e2fd5594 Description: Neuroimaging data analysis pipelines in Python3 -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-nitime-doc Source: nitime Version: 0.8.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4210 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python3-nitime Homepage: https://nipy.org/nitime Priority: optional Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.8.1-2~nd100+1_all.deb Size: 2427432 SHA256: caf896c5450997201f22236c2de720a3a8363e8abe106392b50a94d8ec81c523 SHA1: 3a729d24e1aaa1fd8899e39dd7be73bd5e2fa013 MD5sum: a0ef3319355918fb1d8f545135327e02 Description: timeseries analysis for neuroscience data (nitime) -- documentation Nitime is a Python module for time-series analysis of data from neuroscience experiments. . This package provides the documentation in HTML format. Package: python-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. 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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. 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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. . 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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. 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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. 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Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.22.2.post1+dfsg-5~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1172 Depends: neurodebian-popularity-contest, libjs-bootstrap, libjs-mathjax Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.22.2.post1+dfsg-5~nd100+1_all.deb Size: 235352 SHA256: c857a97bc4831c97a324a9109df0861ef6fe81194ed1d65963af29c13d789047 SHA1: c249b680e5e7a8f027335474ae7c9707ad870e8b MD5sum: 5b6542e0597a92526ddf3056cbfceb57 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-sklearn-lib Source: scikit-learn Version: 0.20.0+dfsg-2~nd100+1 Architecture: 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. 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This package contains the Python 2 version of sphinx-gallery. Package: python-sphinx-gallery-doc Source: sphinx-gallery Version: 0.2.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2610 Depends: neurodebian-popularity-contest Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: doc Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery-doc_0.2.0-1~nd100+1_all.deb Size: 1343440 SHA256: a400af74e14178272a88500ce99f288de2886024fc25751f6e4f7ff5b9b2953c SHA1: 8c5ff3f68f2fc87bb6e52c1137628430938b930d MD5sum: 139b6405850e4c33d1f26d4f59f07846 Description: extension that builds an HTML gallery of examples from Python scripts (Doc) * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains documentation for sphinx-gallery. Package: python-statsmodels Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23190 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7~), python-scipy, python-statsmodels-lib (>= 0.9.0-2~nd100+1), python-patsy, python-pandas, libjs-mathjax Recommends: python-matplotlib, python-joblib, python-colorama, python-cvxopt Suggests: python-statsmodels-doc Breaks: python-scikits-statsmodels Replaces: python-scikits-statsmodels Provides: python2.7-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python-statsmodels_0.9.0-2~nd100+1_all.deb Size: 6225616 SHA256: 2e84fe23d6e9b64e20964e04685c623e9c3840971641b680018b750266675c6d SHA1: b526357dbc7fdf45ee010776510209fe28f85155 MD5sum: 3c4e14942235a71df4508ec63ca5fe9e Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python-statsmodels-doc Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 79001 Depends: neurodebian-popularity-contest, libjs-requirejs, libjs-sphinxdoc (>= 1.0) Recommends: libjs-mathjax Suggests: python-statsmodels, python3-doc, python-numpy-doc, python-patsy-doc, python-pandas-doc, python-scipy-doc Breaks: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Replaces: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: doc Filename: pool/main/s/statsmodels/python-statsmodels-doc_0.9.0-2~nd100+1_all.deb Size: 11563124 SHA256: 125e06130c32c5133e8bbbd6b19dd0484e313aa46f8c7efc7050cc8c92475366 SHA1: 78293d28438d0af475af79b4f40df7f933532aa7 MD5sum: ae6a35228c5cac9c254c40a464713252 Description: documentation and examples for statsmodels Statsmodels Python modules are providing classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. . This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6584 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.16.0~rc1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.27) Breaks: python-scikits-statsmodels Replaces: python-scikits-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python-statsmodels-lib_0.9.0-2~nd100+1_i386.deb Size: 914964 SHA256: 9964e38b7f752ea8b8a2522ad6ef917bb6718b91f43224f94baa1af298406de4 SHA1: a7b5e8880a7d1da29a39bd4cada0427cf1812e83 MD5sum: 1dde22eead905d98885ec005c49b65d0 Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-statsmodels-lib-dbgsym Source: statsmodels Version: 0.9.0-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6274 Depends: python-statsmodels-lib (= 0.9.0-2~nd100+1) Priority: optional Section: debug Filename: pool/main/s/statsmodels/python-statsmodels-lib-dbgsym_0.9.0-2~nd100+1_i386.deb Size: 5491620 SHA256: 0a18b0007faa2862d4253ea2b3c9fd7e0d6daf7e2ba61de2504a36c030cee513 SHA1: cdf55aade95e689c62b3ce8b8821c4ba468d0fe9 MD5sum: c9630bdbe45c01ae6314fbcf36291aa4 Description: debug symbols for python-statsmodels-lib Build-Ids: 0711395266d78bb0b738f0708ea9e2b2decc94d9 0a3978f4062a1e8bd36833c853d799566f0b8518 0e2da1f1755f64267e4e06f9ab9009b60801b7ba 11a2956c8a2853b8f38f11e9fc9fe0c26595f25c 2e3ca026a71ffd1cf523a6dc862dc515f3980935 46e4226598ca5acd5fa1dd99207000c7cb7ea40d 6a8555433712d7b002ff9f8f1c7e02bb768907a1 701c2f65731234c864af1911e4242edebdb9f602 773a0e269937583861145bba42cdf35201981dea 807621ba8a2acfe8ca815841ca8e864320eba8c0 85a1d02236ca639728ad1e3692ee8a0644d515fa b6cf1c4c18bf834b8497109a868081386b96acac c2ba86d81065393e2d76e1c24946b53b9497bfd6 d1e1989ada636169fe8fd193472937e209a51b6b d1ecb7082b2ee9bef3f7a1b42583464c41da12ad ddb34391c40f6dc0db061551d366f96e03e56fdd de8d73846c7524fad370fcba62975d10692068e4 f9bfe213629c0f70560eac349e80a24a1e4e7c27 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-annexremote Source: annexremote Version: 1.4.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 71 Depends: neurodebian-popularity-contest, python3-future, python3:any Homepage: https://github.com/Lykos153/AnnexRemote Priority: optional Section: python Filename: pool/main/a/annexremote/python3-annexremote_1.4.3-1~nd100+1_all.deb Size: 13900 SHA256: 02526635fc490c79f3954798a0672c2f70218f7e89a7b571c4182787b5892535 SHA1: 47f307a9412eff9172b996373e5317f32f8916a1 MD5sum: 9429c34ce09d32a9d21cc3dca90dbadd Description: abstraction for git-annex special remote implementations Helper module to develop special remotes for git-annex. AnnexRemote handles all the protocol aspects for you, so you can focus on the remote itself. It implements the complete external special remote protocol and fulfils all specifications regarding whitespaces, and order of messages. This is ensured by an extensive test suite. Package: python3-argcomplete Source: python-argcomplete Version: 1.12.3-0.2~nd100+2 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, python3:any Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python3-argcomplete_1.12.3-0.2~nd100+2_all.deb Size: 34804 SHA256: 2109f5f30cbe414f2d32520b500b94b1fd6e58eabcf1a8672a2d4432d312cb3c SHA1: a78fc1302d031efc800ea47cbabac7d173a6430e MD5sum: 2afbb149a6f4e3d76d71caf798fa67eb Description: bash tab completion for argparse (for Python 3) Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 3.x. Package: python3-babel Source: python-babel Version: 2.6.0+dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 418 Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd100+1), python3-pkg-resources, python3-tz, python3:any Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python3-babel_2.6.0+dfsg.1-1~nd100+1_all.deb Size: 96904 SHA256: 49508f2f4e2be1c89533d545d756e420e4130c0e9a6103375e64e0d1f7ab62d6 SHA1: 94450680b3fa1111edc1b39c96fc980e862bc582 MD5sum: 393656dfaf2c0494b64d77a257d975dd Description: tools for internationalizing Python applications - Python 3.x Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package provides the Python 3.x module. Package: python3-boto Source: python-boto Version: 2.44.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python3-requests, python3:any (>= 3.3.2-2~), python3-six Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python3-boto_2.44.0-1~nd100+1_all.deb Size: 739848 SHA256: 9268d6d9278fad94841f73d2727644f8177924a6e880c21b164f6ca57d74581f SHA1: f9635a14f7e4b578683a9a3e7b749c711383a87f MD5sum: ee17cd0fc3cc23de0060c05351cf32b8 Description: Python interface to Amazon's Web Services - Python 3.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 3.x module. Package: python3-bz2file Source: python-bz2file Version: 0.98-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python3:any (>= 3.2~) Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python3-bz2file_0.98-1~nd100+1_all.deb Size: 8008 SHA256: 5625c9b608636a96be3a11ec702a862953e227633175b10e323a59adcfc42dfe SHA1: 971a9248e867b5dc436ef6f183b8f6038a7bf584 MD5sum: 3495fdeb2e20e1e2a6748ae04580e675 Description: Python3 library for reading and writing bzip2-compressed files Bz2file is a Python library for reading and writing bzip2-compressed files. . It contains a drop-in replacement for the file interface in the standard library's bz2 module, including features from the latest development version of CPython that are not available in older releases. . Bz2file for Python3. Package: python3-chardet Source: chardet Version: 3.0.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python3-chardet_3.0.4-1~nd100+1_all.deb Size: 80348 SHA256: 522a3aeb3a9f897846100a28e413315e8c3333ae5562f943f4866a85d16475bf SHA1: 9f0472dc9464a85946637b60282774c655504278 MD5sum: 8ee24e5f20283c2e1149406753ee49bb Description: universal character encoding detector for Python3 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. . This package contains the Python 3 version of the library. Package: python3-datalad Source: datalad Version: 0.18.3-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4413 Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, p7zip-full, python3 (>= 3.7), python3-annexremote, python3-distro, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3 (>= 3.10) | python3-importlib-metadata (>= 3.6~), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-mock, python3-msgpack, python3-pil, python3-appdirs, python3-requests (>= 1.2), python3-secretstorage, python3-six, python3-typing-extensions, python3-tqdm, python3-chardet, python3-packaging, python3:any Recommends: python3-boto, python3-exif, python3-html5lib, python3-httpretty, python3-jsmin, python3-libxmp, python3-lzma, python3-mutagen, python3-pytest, python3-pyperclip, python3-requests-ftp, python3-vcr Suggests: python3-duecredit, datalad-container, datalad-crawler, datalad-neuroimaging, python3-bs4, python3-numpy Breaks: datalad-container (<< 1.1.2) Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.18.3-2~nd100+1_all.deb Size: 882796 SHA256: 16cb538460f26ad5d6ccc65160ea2c2864ca3a3ff34065b8dae8445884be951f SHA1: 81286771fb6e2913fd1accf61de7bfe40e671991 MD5sum: de75afecae71e0a5f2df7ac54826b46d Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-dcmstack Source: dcmstack Version: 0.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 521 Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3-pydicom, python3:any, libjs-sphinxdoc (>= 1.0) Conflicts: python-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python3-dcmstack_0.8-1~nd100+1_all.deb Size: 79008 SHA256: 8ead58e7ea4ea3ef946878abce9f32f75046e1be59c6828de1ecceb1de7f7915 SHA1: 2b738e51f295b8d67997a14643a1deaf43aa3b72 MD5sum: 48e87800bf49ee007f312ced7cb073d2 Description: DICOM to NIfTI conversion - python3 package DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python3 package. Package: python3-deprecation Source: python-deprecation Version: 1.0.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python3-deprecation_1.0.1-1~nd100+1_all.deb Size: 8596 SHA256: 38f3c2612821fcdacb00c8cc3f989eae7de795ec0fdb1da37852d63f42a53165 SHA1: 9a0de8682c76adb53d793344c10f5fd2097fb82f MD5sum: 8f6d58401d74dcb28e2e4ff103a7c2a7 Description: Library to handle automated deprecations - Python 3.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 3.x module. Package: python3-dicom Source: pydicom Version: 1.2.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python3-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python3-dicom_1.2.1-1~nd100+1_all.deb Size: 4896 SHA256: 67f234ea6fb20894e5be1053ce981379addde8b0fcd3a9e100bf583445fdb653 SHA1: d59ad68ee545639807363fba1bdebeb17ac82ab6 MD5sum: f13069137bac47e13e48b2805ebe99b8 Description: transitional package for python3-pydicom This is a transitional package. It can safely be removed. Package: python3-diskcache Source: diskcache Version: 4.0.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 209 Depends: neurodebian-popularity-contest, python3:any Homepage: http://www.grantjenks.com/docs/diskcache/ Priority: optional Section: python Filename: pool/main/d/diskcache/python3-diskcache_4.0.0-1~nd100+1_all.deb Size: 33656 SHA256: 5d83c199571073de5ff74e34d3ca5ba91d8b3c1ff8076807029d928914ad32e5 SHA1: 901c8316a44e98b58312416228ee177386cef7db MD5sum: 5fa4286eb0d531b50cfdff8ce64d84cf Description: Python module for Disk and file backed persistent cache DiskCache is an Apache2 licensed disk and file backed cache library, written in pure-Python. Its features include . - Django compatible API - Thread-safe and process-safe - Supports multiple eviction policies (LRU and LFU included) - Keys support “tag” metadata and eviction Package: python3-distro Source: python-distro Version: 1.3.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: neurodebian-popularity-contest, lsb-release, python3:any Homepage: https://github.com/nir0s/distro Priority: optional Section: python Filename: pool/main/p/python-distro/python3-distro_1.3.0-2~nd100+1_all.deb Size: 14560 SHA256: 334700235ac842bd5458f8a5220bba9a3e92ab910b9f9275b418460aabd76209 SHA1: 8b3df1da09b0fd3b736caa36748679600f9b940d MD5sum: 652cc5490505b69406a3d5dbc82f0f8d Description: Linux OS platform information API distro (for: Linux Distribution) provides information about the Linux distribution it runs on, such as a reliable machine-readable ID, or version information. . It is a renewed alternative implementation for Python's original platform.linux_distribution function, but it also provides much more functionality which isn't necessarily Python bound like a command-line interface. . This is the Python 3 version of the library. Package: python3-duecredit Source: duecredit Version: 0.8.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 256 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.8.0-1~nd100+1_all.deb Size: 58656 SHA256: 94b0c5a12fa099d7a6a4b17e63fe6d9078d872fc0810cd7ef1da2b39b40da29e SHA1: 8c6b7728bb52a5200cd7876e3ad6c00cd73f8a8f MD5sum: d4cbecaa036146a50671d02063f4a4e8 Description: Publications (and donations) tracer duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python3 -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python3-etelemetry Source: python-etelemetry Version: 0.2.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3-requests, python3:any Homepage: https://github.com/sensein/etelemetry-client/ Priority: optional Section: python Filename: pool/main/p/python-etelemetry/python3-etelemetry_0.2.0-2~nd100+1_all.deb Size: 6188 SHA256: ac39f5ab56ebd365ac8032c72a8e070003b66576acf8ac23508b5b1564c13380 SHA1: de2cd4c37b3942b1ff0671efd8c839fb90350f37 MD5sum: de4920e0e98f8f8b9ef831a87dd7b5da Description: lightweight Python3 client to communicate with the etelemetry server This Python3 package provides a lightweight Python3 client interface to communicate with the etelemetry server. It can be used for nipy or nipype. Package: python3-exif Source: python-exif Version: 2.1.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python3-exif_2.1.2-1~nd100+1_all.deb Size: 31008 SHA256: d4a63af1815717447f09a0126a0ecf9dd96d0d4c4941ebf2e32354b1dd4a2536 SHA1: a1e5db281b9e41c27c912bd5c2ee1d4a39e19eca MD5sum: c5ebe42edc8d50bb5059a1bdcf8b1d88 Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 3.x module. Package: python3-fasteners Source: python-fasteners Version: 0.14.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, python3-monotonic, python3-six, python3:any Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python3-fasteners_0.14.1-2~nd100+1_all.deb Size: 15436 SHA256: ce8bf25a97196842cd7c1e8b953fa501cec1b710d36a225105764ee4b42c6fe7 SHA1: 8c97789f0273b41252984f79c7984f00310e11bd MD5sum: 6116541bcba5dce2f3c06b0f61c1c9c0 Description: provides useful locks - Python 3.x Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 3.x module. Package: python3-filelock Source: python-filelock Version: 3.0.12-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python3:any Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python3-filelock_3.0.12-1+nd1~nd100+1_all.deb Size: 8292 SHA256: 8ec72322b28f30857677ec756d834c5bb77e7c8e7e03061c9c17426583342b6b SHA1: 9881006d10b73aa4d8f022e7ce2eb9bab45cd3e9 MD5sum: d675a3ff2f54dd225219610526fb05ad Description: platform independent file locking module (Python 3) This package contains a single module, which implements a platform independent file locking mechanism for Python. The lock includes a lock counter and is thread safe. This means, when locking the same lock object twice, it will not block. . This package installs the Python 3 version. Package: python3-fsl Source: fslpy Version: 1.2.2-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 403 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-deprecation, python3-indexed-gzip, python3-numpy, python3-wxgtk4.0, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-2~nd100+1_all.deb Size: 84252 SHA256: 67159a32fce9ea4be977bacce518c1e83a3576433fd764fa41830fc2f50c1697 SHA1: 29a49a7dc03d4a5cf96ecb850d6f94a4f7afb98f MD5sum: cd34c39d84de6b9f722e245771c73f85 Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-git Source: python-git Version: 3.0.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1679 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_3.0.5-1~nd100+1_all.deb Size: 307804 SHA256: 2fb83db9ef3f2554da69175bc4a5e4ba78e7affb69972ecadf4c506ea26e5bd4 SHA1: 67b745377730548d096ff42c3a61ec667dfad2fa MD5sum: 23942e757f0fc8a9149c553e7d4373ee Description: Python library to interact with Git repositories - Python 3.x python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 3.x module. Package: python3-gitdb Source: python-gitdb Version: 2.0.6-1~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python3-smmap (>> 2), python3:any Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python3-gitdb_2.0.6-1~nd1~nd100+1_all.deb Size: 47088 SHA256: b00593035374f73c15351725def0bafb3b772a95323e92a684f6a333d0299226 SHA1: c88d3cb01a83fe396e602fe324c249499fbea12f MD5sum: 8ad7bcaadc4159c78280f432f5f0e24f Description: pure-Python git object database (Python 3) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package contains the Python 3.x module. Package: python3-github Source: pygithub Version: 1.43.7-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 916 Depends: neurodebian-popularity-contest, python3-jwt, python3-requests, python3:any Conflicts: python3-pygithub Replaces: python3-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python3-github_1.43.7-1~nd100+1_all.deb Size: 64640 SHA256: f8bf4a49a4ecf0a968a195a02262695385b741f720a659af1160b413ebeb45ea SHA1: 5629169cf418646ad42cba26c4367a709fc33634 MD5sum: 48ed30b79faf7351aacfe9c7013051b3 Description: Access the full Github API v3 from Python3 This is a Python library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python3-h5py Source: h5py Version: 2.9.0-6~nd2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3436 Depends: neurodebian-popularity-contest, python3 (<< 3.8), python3 (>= 3.7~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-six, python3:any, libc6 (>= 2.4), libhdf5-openmpi-103 (>= 1.10.3), python3-mpi4py Suggests: python-h5py-doc Homepage: http://www.h5py.org/ Priority: optional Section: python Filename: pool/main/h/h5py/python3-h5py_2.9.0-6~nd2~nd100+1_i386.deb Size: 673924 SHA256: c4bbec88ed50f8e4ea2a051d71c2fc7ea0f9a0603e940d392be3895f58636a19 SHA1: 385cb102d10c2dc04191e313089414d2a28d7a3a MD5sum: 00130d3197b00a8fdf31970451013a4d Description: general-purpose Python interface to hdf5 (Python 3) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the modules for Python 3. Package: python3-h5py-dbg Source: h5py Version: 2.9.0-6~nd2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17572 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.8), python3-dbg (>= 3.7~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, libc6 (>= 2.4), libhdf5-openmpi-103 (>= 1.10.3), python3-h5py (= 2.9.0-6~nd2~nd100+1), python3-numpy-dbg Multi-Arch: same Homepage: http://www.h5py.org/ Priority: optional Section: debug Filename: pool/main/h/h5py/python3-h5py-dbg_2.9.0-6~nd2~nd100+1_i386.deb Size: 6569332 SHA256: 7d7936c1b011d2b929d6816cf381b45ea838ec362aae15d07eb5d4c17910f31d SHA1: f626f87d8f48b093e2ee1c1ea22fbe6c6c6d5c27 MD5sum: e0be5d9f0eb3b135b490175bd2f606f8 Description: debug extensions for h5py (Python 3) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the debug extensions for Python 3. Build-Ids: 0869887c1d331c42592237832938bbd887e0ad2c 0f1bd7740a0f49e41024a10a1903c4ca23e02bab 1537b287e3d3ff954cea6ce15c80dba555c10df7 1dd7a50ec6805feb8afda86cbd72295c32576634 27d5be9d595e254bfd753e97826fcde40b5fd296 3797318a4b9d00f517c0532401f83a77f343bf0a 5ca235c258637a445685f50610c95792e355ebb3 5ce351f343c12c619396556ff71b660a2d484085 7487eaaef075b1d7bc2f3ffd88fa34bc6493df5e 7b01402d5b9c84ed285a5fa1909b01ad70e900a3 8377912951509aff5860abd99b79d05f9aee94b5 904d28e69e39ea1f67a6a3a2fdb902ef4e2dabb9 98614bdd2deaa3fabaace5ff8630e04e435103ea b0f9a4f1dc957d1e271006a4499d6bdceb61b2cd b71288b34d6d4f3598e258ed195797206a21dbde bc026d3155659476acc954a1b4d3c1415c989575 c19a436379775e51412b541e97f106128de1ff2e d08472a79b3120d51eeca47a3a1035b8f69b63bb e0ec3749aff1516f77b480a15b934ecf068f81e5 e3233977ed87691eb4379db5e5135a8b2e45c801 ed3220e7e1f833bc3d0719c0561692a81c17ed3a fa3b23c04506f6c29c3fcb53d2d6143ac018486e Package: python3-hdmf Source: hdmf Version: 1.1.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 392 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py, python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any, python3-certifi, python3-chardet, python3-idna, python3-urllib3 Homepage: https://github.com/hdmf-dev/hdmf Priority: optional Section: python Filename: pool/main/h/hdmf/python3-hdmf_1.1.2-1~nd100+1_all.deb Size: 63640 SHA256: 960ee4b575221d3f1db30634c1f1eae50877fa468b6a2f653fb3ffd0daad1643 SHA1: a0ba25b20e95b73d7a651233afc9938aa840e124 MD5sum: 21dab5c693204909ae17ac3212b8642d Description: Hierarchical Data Modeling Framework The Hierarchical Data Modeling Framework (HDMF) is a Python package for working with hierarchical data. It provides APIs for specifying data models, reading and writing data to different storage backends, and representing data with Python object. Package: python3-httpretty Source: python-httpretty Version: 0.9.5-6~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, python3-six, python3-urllib3, python3:any Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python3-httpretty_0.9.5-6~nd100+1_all.deb Size: 20228 SHA256: 229ab49af6af42408a3295b753ebc18e56623d89c44f318418b638d4b780747a SHA1: 5c94b350d6f114744bd268b27fae551ba209f59e MD5sum: c55b64d535ec9da6ec0ca4a97df0a7ca Description: HTTP client mock - Python 3.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 3.x module. Package: python3-hypothesis Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, python3-attr, python3-coverage, python3:any Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python3-hypothesis_3.44.1-1~bpo9+1~nd100+1_all.deb Size: 161720 SHA256: dc532bd0b80f03f9efe2b8f7d94d53176eca07592f2b9db0d0e22d7249fbdd61 SHA1: 102fd77f97582afa3d901829e9cfc4f352873fa0 MD5sum: e937e548193190944aa4f7fa2a8a4427 Description: advanced Quickcheck style testing library for Python 3 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 3 module. Package: python3-importlib-metadata Source: python-importlib-metadata Version: 4.6.4-1~nd4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 75 Depends: neurodebian-popularity-contest, python3-zipp, python3:any Homepage: https://github.com/python/importlib_metadata Priority: optional Section: python Filename: pool/main/p/python-importlib-metadata/python3-importlib-metadata_4.6.4-1~nd4~nd100+1_all.deb Size: 22908 SHA256: 24b16469d16179491b7ce82fef4a721240db300c785413c4dc2c7018952c698c SHA1: 4a086acfa93a3f90c3235a717131059652eb77b5 MD5sum: 3adba0be3c3d7be5b02079c2a1cf74ea Description: library to access the metadata for a Python package - Python 3.x Provides an API for accessing an installed package’s metadata, such as its entry points or its top-level name. This functionality intends to replace most uses of pkg_resources entry point API and metadata API. . This package contains Python 3.x module. Package: python3-importlib-resources Source: importlib-resources Version: 5.1.0-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, python3-zipp, python3:any Homepage: https://github.com/python/importlib_resources Priority: optional Section: python Filename: pool/main/i/importlib-resources/python3-importlib-resources_5.1.0-1+nd1~nd100+1_all.deb Size: 18564 SHA256: 795052a288d65a8d6dbebad60624411157800f720917237c0d3fa466ebdf8504 SHA1: 8080b77e0121c0359f5fe5b0f19c8763cf37f362 MD5sum: fcbd1f6a41c22f4d3ad0623017bc9d2c Description: Read resources from Python packages importlib_resources is a backport of Python standard library importlib.resources module for older Pythons. Users of Python 3.9 and beyond should use the standard library module, since for these versions, importlib_resources just delegates to that module. . The key goal of this module is to replace parts of pkg_resources with a solution in Python's stdlib that relies on well-defined APIs. This makes reading resources included in packages easier, with more stable and consistent semantics. . This library provides two very simple decorators that document the publicness of the names in your module. They keep your module's __all__ in sync so you don't have to. Package: python3-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: 0.13.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 870 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), procps Recommends: python3-numpy, python3-pytest, python3-simplejson, python3-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.13.2-1~nd100+1_all.deb Size: 189416 SHA256: b1e9a4dbd4d95c469dc6c4b23d6d4cbd0829a8a81929647a1396ffca7758047a SHA1: b247a07c03b05e017f6f3573d790886b60950e3e MD5sum: 6932b77be2473458bdf2ee9f6258fb28 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 3 version. Package: python3-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python3-json-tricks_3.11.0-1~nd100+1_all.deb Size: 19008 SHA256: 0e43d77ac827571f7500dd681bf53cba19a0e97188df3507b573ae215afdaad8 SHA1: 5eb4b0e9fbe2c6e0a853a6127b015e55140cf268 MD5sum: 4229637f18150ff3f44ab0889a9f0e9c Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: python3-jsonschema Source: python-jsonschema Version: 3.0.2-4~nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python3-attr, python3-pkg-resources, python3-setuptools, python3-six (>= 1.11.0), python3-pyrsistent, python3:any Suggests: python-jsonschema-doc Homepage: https://github.com/Julian/jsonschema Priority: optional Section: python Filename: pool/main/p/python-jsonschema/python3-jsonschema_3.0.2-4~nd1~nd100+1_all.deb Size: 45172 SHA256: ddffafa631a4b5745aef8e2fedcb7edbb2660bee9a4fd88ba3dcd0776de22593 SHA1: aace5265a23c8a4d085c20d352a8cfc34fb76895 MD5sum: 35e8bd4d65151b1b6f3ec4d3ae7e2b32 Description: An(other) implementation of JSON Schema (Draft 3 and 4) - Python 3.x JSON Schema is a specification for a JSON-based format for defining the structure of JSON data. JSON Schema provides a contract for what JSON data is required for a given application and how it can be modified, much like what XML Schema provides for XML. JSON Schema is intended to provide validation, documentation, and interaction control of JSON data. . This package contains the Python 3.x module. Package: python3-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python3-tz, python3:any (>= 3.3.2-2~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python3-libxmp_2.0.1+git20140309.5437b0a-4~nd100+1_all.deb Size: 24528 SHA256: cb0fb73fcd75b749ba75f2da0bef79e8f9257db966286fe5fd0f0237ee60c997 SHA1: 7b1f4320c9c5e6f44fb99e90727091f6c347c5a8 MD5sum: 4a7389bbb4c8544f17745b170a80fb9e Description: Python3 library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python3 bindings. Package: python3-monotonic Source: python-monotonic Version: 1.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python3-monotonic_1.1-2~nd100+1_all.deb Size: 5612 SHA256: 67a291afe28a065d26ad8f45fb589136c5ad02cab82bfce5109e0c73449680ee SHA1: 67bd0697997bd72aa4f8a2b098b6f3bf316bd2fd MD5sum: dc9d9e0b121d8c3ce50ef215d11a2c1b Description: implementation of time.monotonic() - Python 3.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 3.x module. Package: python3-msgpack Source: msgpack-python Version: 0.4.8-1~nd100+1 Architecture: 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-neo Source: neo Version: 0.7.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3485 Depends: neurodebian-popularity-contest, python3-numpy, python3-quantities, python3:any Recommends: python3-scipy (>= 0.8~), python3-tables (>= 2.2~), libjs-jquery, libjs-underscore Suggests: python3-nose Homepage: http://neuralensemble.org/trac/neo Priority: optional Section: python Filename: pool/main/n/neo/python3-neo_0.7.2-1~nd100+1_all.deb Size: 1309380 SHA256: b7b0d143a0b8bec85bf6771120ebb3f285cf7e0987b9bf25f3582c8d90c1166c SHA1: 31a74f7a8d56595e319ef86acb967463e9bc65d1 MD5sum: 35541317186cefed819d003f94bccce4 Description: Python IO library for electrophysiological data formats NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples. . NEO offers support for reading data from numerous proprietary file formats (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well as support common file formats, such as HDF5 with Neo-structured content (NeoHDF5, NeoMatlab). . Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare replacement. Package: python3-nibabel Source: nibabel Version: 3.2.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65983 Depends: neurodebian-popularity-contest, python3-numpy, python3-packaging, python3:any, python3-scipy, python3-six Recommends: python3-pydicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Breaks: python-nibabel Replaces: python-nibabel Homepage: https://nipy.org/nibabel/ Priority: optional Section: python Filename: pool/main/n/nibabel/python3-nibabel_3.2.1-2~nd100+1_all.deb Size: 2706920 SHA256: c970b1e33d4400fe7f1a53809b4816a40214969da02d39c2542c0e57ccefcb20 SHA1: 05eb78779b4ec56cb7e3c08cc9a7140c97d288ba MD5sum: a8bf3995b99b3e2a30c5ec26d4409880 Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-nipy Source: nipy Version: 0.4.2-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3551 Depends: neurodebian-popularity-contest, python3-numpy, python3-nibabel, python3-scipy, python3-sympy, python3:any, python3-nipy-lib (>= 0.4.2-3~nd100+1) Recommends: python3-matplotlib, mayavi2 Suggests: python3-mvpa Breaks: python-nipy Replaces: python-nipy Homepage: http://neuroimaging.scipy.org Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy_0.4.2-3~nd100+1_all.deb Size: 786316 SHA256: 7f1c56b3b5daa098eb573691cb8e9f13753db982ce188cec7765277093d4d932 SHA1: b8167ae75d981f8d3dbd13e01df337c080173a22 MD5sum: f3fa2f5c753c8bf8f94847ddf3727d90 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Package: python3-nipy-lib Source: nipy Version: 0.4.2-3~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2851 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.7~) Homepage: http://neuroimaging.scipy.org Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy-lib_0.4.2-3~nd100+1_i386.deb Size: 577480 SHA256: 18b4aeca3379fe6566f02ea795b26b9ba24902812e157d47713f45a86dd3f383 SHA1: 29e88c3419de442befe6ddaa67bbba6874a81aae MD5sum: a5c5559857802606b4bce51c47b142c4 Description: Analysis of structural and functional neuroimaging data (compiled modules) NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Package: python3-nipy-lib-dbg Source: nipy Version: 0.4.2-3~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13213 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-dbg (<< 3.8), python3-dbg (>= 3.7~), python3-nipy-lib (= 0.4.2-3~nd100+1) Homepage: http://neuroimaging.scipy.org Priority: optional Section: debug Filename: pool/main/n/nipy/python3-nipy-lib-dbg_0.4.2-3~nd100+1_i386.deb Size: 4727036 SHA256: b5537e9ccb38b7a38a24d41a759b5df3a6bb0ca887489cfa6cf817298433a1a2 SHA1: 1ca25a9ad631585d0768dba9703b3add5840f7b3 MD5sum: ca238f81d05092a194a0dd95335227d9 Description: Analysis of structural and functional neuroimaging data (debug symbols) NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Build-Ids: 1238e814b69f421220fcd1e9551071300d88b78d 212da90f26fb044e309e396295dc29f0ae558365 2c009b456b5f442fa9f2383c059c8c725270ad8d 341bfb33908673304bb53d34bf3c12af57604e09 3e15306d3423c3a4e4d4e230c079915b0f57bcc2 48aa436e043fbddb00b3badda0c3a5b80b083879 5bbcfe462ce3d1171c9d17dea420667700c2f937 79fa296c6989f3a0c0cdba6f09e4a0daa8013bc5 981bae30d980b68df71ecb9fe03bbdc2f452fb4c a328c975df1d254e19ed8214bf5085edcfafb618 a4af3d3490d1bd4710c848e330a34a511c39cb70 a833c65e20fdcc34f9f9339fcdb1be4c586e41b7 c8faa733115807556e8ae89561a173e4d73e5733 ed6e5cad9f01ed2fad58dd228f83fdfcb8c8f459 Package: python3-nipype Source: nipype Version: 1.6.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10712 Depends: neurodebian-popularity-contest, python3-click, python3-dateutil, python3-etelemetry, python3-filelock, python3-networkx, python3-nibabel, python3-numpy, python3-packaging, python3-prov, python3-rdflib, python3-scipy, python3-simplejson, python3-traits, python3:any, python3-funcsigs, python3-future, python3-psutil Recommends: ipython3, python3-pytest, graphviz, python3-xvfbwrapper, mayavi2, python3-mock, python3-pydotplus, python3-pydot, python3-cfflib Suggests: fsl, afni, python3-nipy, slicer, matlab-spm8, python3-pyxnat, mne-python, elastix, ants, python3-pytest-xdist, python3-bids Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python3-nipype_1.6.0-1~nd100+1_all.deb Size: 1836984 SHA256: dd08506dfffb796b189b59d6532ecc241222f2a8f89bf23c9c54c67019e486e2 SHA1: 9d767d71c918bef24e39244d34ba4457e7393ce1 MD5sum: 3980179f66f950800b7abac0b8146180 Description: Neuroimaging data analysis pipelines in Python3 Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python3-nitime Source: nitime Version: 0.8.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9380 Depends: neurodebian-popularity-contest, cython3, python3-matplotlib, python3-networkx, python3-nibabel, python3-numpy, python3-scipy, python3:any Recommends: python3-nose Homepage: https://nipy.org/nitime Priority: optional Section: python Filename: pool/main/n/nitime/python3-nitime_0.8.1-2~nd100+1_all.deb Size: 2547128 SHA256: a7637a44edaa7cf81e8f8a1213f98d93a9197cecca5522d9ca6b2b9b7b3afbb6 SHA1: 6acb1a4e99e406e8efdfbc6454909a0b472bae59 MD5sum: 779f9054c3cd04557031f00c82d96ea3 Description: timeseries analysis for neuroscience data (nitime) Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. Package: python3-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-pyfakefs Source: python-pyfakefs Version: 4.3.3-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 991 Depends: neurodebian-popularity-contest, python3:any Homepage: http://pyfakefs.org/ Priority: optional Section: python Filename: pool/main/p/python-pyfakefs/python3-pyfakefs_4.3.3-1+nd1~nd100+1_all.deb Size: 130288 SHA256: caccf87f5f10af15f9ee7e0d7fa7a7a706f1bd4faf5ffb63447b626e847bbe9e SHA1: 0d9777b287d1b467994a45905e16ac436f26f7a7 MD5sum: b45e50d6e34fdc2d1284df539e11dd2d Description: fake fs that mocks the Python file system modules - Python 3 pyfakefs implements a fake file system that mocks the Python file system modules. Using pyfakefs, your tests operate on a fake file system in memory without touching the real disk. The software under test requires no modification to work with pyfakefs. . This package contains the Python 3.x module. Package: python3-pyglet Source: pyglet Version: 1.4.10-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5249 Depends: neurodebian-popularity-contest, libavcodec58, libavformat58, libavutil56, libfreetype6, libgdk-pixbuf2.0-0, libgtk2.0-0, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libswresample3, libswscale5, libx11-6, libxext6, libxi6, libxinerama1, libxxf86vm1, python3-future, python3-png, python3:any Recommends: libasound2 | libopenal1, libpulse0 Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python3-pyglet_1.4.10-1~nd100+1_all.deb Size: 1090904 SHA256: 53816b77da7ac62ad4f396735bd6713a0b53109ce5a5c3d0821c45e7d9db6419 SHA1: 9cab4cef3129551ac2970a912ba24a7d0a67591b MD5sum: 4c61a3e073d8ec8245b52773358dd372 Description: cross-platform windowing and multimedia library (Python 3) This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. . This is the Python 3 version. Package: python3-pynwb Source: pynwb Version: 1.0.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 424 Depends: neurodebian-popularity-contest, python3-chardet, python3-dateutil, python3-h5py (>= 2.7.1), python3-hdmf, python3-numpy, python3-pandas, python3-ruamel.yaml, python3-six, python3:any Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_1.0.3-1~nd100+1_all.deb Size: 60480 SHA256: 4726c4515aa243503f353512dcc161392753eacb46beb09e2b2cdac2d5c8a0d3 SHA1: f0b6871219fe7d3bd8cb83c12654379adb01f4f8 MD5sum: f19722ec8f0205b913bbba5a20bc95b6 Description: Python library for working with Neurodata in the NWB format PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format. . Neurodata Without Borders: Neurophysiology (NWB:N) is a project to develop a unified data format for cellular-based neurophysiology data, focused on the dynamics of groups of neurons measured under a large range of experimental conditions. Package: python3-pyperclip Source: python-pyperclip Version: 1.6.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), xclip | xsel | python3-gi | python3-pyqt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python3-pyperclip_1.6.0-2~nd100+1_all.deb Size: 9628 SHA256: 52ae6a83b076e4a4ebead3cb57a5136eead2cfc8e78c970c1431dac328e9c44f SHA1: 84d01a62d907fbd4522f66068af483c545c64c04 MD5sum: 4bd90462085a393529d3abda6ee6e319 Description: Cross-platform clipboard module for Python3 This module is a cross-platform Python3 module for copy and paste clipboard functions. . It currently only handles plaintext. . This is the Python 3 version of the package. Package: python3-pyrsistent Source: pyrsistent Version: 0.15.5-1~nd1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python3 (<< 3.8), python3 (>= 3.7~), python3-six, python3:any, libc6 (>= 2.4) Multi-Arch: same Homepage: https://github.com/tobgu/pyrsistent/ Priority: optional Section: python Filename: pool/main/p/pyrsistent/python3-pyrsistent_0.15.5-1~nd1~nd100+1_i386.deb Size: 58192 SHA256: 9f88d540d7e0e60a576e0bd40ffaa9111654766c1768294f4e23bb1916dc569a SHA1: 7f165559c437b1c8267d53db230f0b06ea2ded51 MD5sum: 04b07af36975fe15723aef2ed1f451e2 Description: persistent/functional/immutable data structures for Python Pyrsistent is a number of persistent collections (sometimes referred to as functional data structures). Persistent in the sense that they are immutable. . All methods on a data structure that would normally mutate it instead return a new copy of the structure containing the requested updates. The original structure is left untouched. . The collection types and key features currently implemented are: . * PVector, similar to a python list * PMap, similar to dict * PSet, similar to set * PRecord, a PMap on steroids with fixed fields, optional type and invariant checking and much more * PClass, a Python class fixed fields, optional type and invariant checking and much more * Checked collections, PVector, PMap and PSet with optional type and invariance checks and more * PBag, similar to collections.Counter * PList, a classic singly linked list * PDeque, similar to collections.deque * Immutable object type (immutable) built on the named tuple * freeze and thaw functions to convert between pythons standard collections and pyrsistent collections. * Flexible transformations of arbitrarily complex structures built from PMaps and PVectors. Package: python3-pyrsistent-dbgsym Source: pyrsistent Version: 0.15.5-1~nd1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 47 Depends: python3-pyrsistent (= 0.15.5-1~nd1~nd100+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/p/pyrsistent/python3-pyrsistent-dbgsym_0.15.5-1~nd1~nd100+1_i386.deb Size: 33732 SHA256: 5e35aac08c973fa3f55bed8391e9fdca47906443360f105e453a70957b74c4b9 SHA1: ee6d539779ea93da1ab1344dea56c45dc7f1b85d MD5sum: b5d83ba5ef112641df23a0f8d4818e9f Description: debug symbols for python3-pyrsistent Build-Ids: 2cb4831ebd62f63c0d72c35c92e51be1357a0870 Package: python3-pyxid Source: pyxid Version: 1.0-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest, python3-serial, python3:any, python3 Homepage: https://github.com/cedrus-opensource/pyxid Priority: optional Section: python Filename: pool/main/p/pyxid/python3-pyxid_1.0-4~nd100+1_all.deb Size: 10992 SHA256: a4ec1669471987941ae5c5c284164fde8b600fe7433a3ad8332b2c4cf9a17d6f SHA1: 94f69caa36aa20323f4dd6f46ce84f58adbe730c MD5sum: 63034f98b82c5ba5e506b4b03acb184a Description: interface for Cedrus XID and StimTracker devices pyxid is a Python library for interfacing with Cedrus XID (eXperiment Interface Device) and StimTracker devices. XID devices are used in software such as SuperLab, Presentation, and ePrime for receiving input as part of stimulus/response testing experiments. . pyxid handles all of the low level device handling for XID devices in Python projects. Package: python3-quantities Source: python-quantities Version: 0.12.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 355 Depends: neurodebian-popularity-contest, python3-numpy, python3:any Suggests: python3-unittest2 Homepage: https://packages.python.org/quantities/ Priority: optional Section: python Filename: pool/main/p/python-quantities/python3-quantities_0.12.4-1~nd100+1_all.deb Size: 57468 SHA256: 26a15df6b1add6ad6465f3c9b982aebdd14f9d79ae284e83e850c65b69acf3a7 SHA1: 85d69510c8b6f548a6a367023869925237e67d5f MD5sum: e2504358cc012051203434d68723f77c Description: Library for computation of physical quantities with units, based on numpy Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. Quantities builds on the popular numpy library and is designed to work with numpy ufuncs, many of which are already supported. Package: python3-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. 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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. 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Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-sklearn-lib Source: scikit-learn Version: 0.22.2.post1+dfsg-5~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10306 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.7~) Provides: python3.7-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.22.2.post1+dfsg-5~nd100+1_i386.deb Size: 1724432 SHA256: 6a5ba4d1f5bc4bef35758015b2f7e48e1ec9f4fc5bd135e82d972dc4e2cd5cc6 SHA1: fce7fa12b8c0c9abc3d11154d88d2e14f9011f66 MD5sum: dcfb3ff566ccc65c60c8da3aaff6b3c1 Description: low-level implementations and bindings for scikit-learn - Python 3 This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. . This package contains the Python 3 version. Package: python3-sklearn-lib-dbgsym Source: scikit-learn Version: 0.22.2.post1+dfsg-5~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13710 Depends: python3-sklearn-lib (= 0.22.2.post1+dfsg-5~nd100+1) Priority: optional Section: debug Filename: pool/main/s/scikit-learn/python3-sklearn-lib-dbgsym_0.22.2.post1+dfsg-5~nd100+1_i386.deb Size: 12359120 SHA256: 3e0a81da0004c7cdc3167d44ead34641b9271d5155e21ee783364cbed3579ce6 SHA1: e62b638e149c81a27db7f62d34d010a7834dc672 MD5sum: ffc6552c27b29270385ba87a7e774531 Description: debug symbols for python3-sklearn-lib Build-Ids: 056ce9017e563af79a3b7489258ac71594b99e1b 056f7f271302499837d9573fa1b5f205d88f8e93 0587fc6f40f6ae4ba249b18e76435dcb935d9be9 0bbcf75061721a5a19b65726a48f28cf1afe7511 15f18077d5d13899db2f893eb5bfc11292f9bd09 195a0e1cb0ca2739b1996d4bfc6e65089244f79c 1d0bfbcc5988d7cf3388697ff748faf076fe2a3a 29c0264a66fc97ab7631f91eef219a7715c88ae3 2bda8143dd4925e6b182e78823af41d26a2c62a3 2f8e509bb42e227180ec219ed083c14cf524dc1b 306cff9b4344100a34f2dfddd3f7c3feeb844b4f 30d9f2622202095cbc43b6d13824e124ca46d981 31694f0294678443599fee4311486c4eddbe606f 38fc1f45a8b73548ebe07eb0090cce3068e03693 3a6318f235ed46d57c516ab0a69cbb1a85025542 3d0d5a0799836b5f2a9350eac7588396cc033bcc 41ae6f2c7eb71caa43a5fbc6004e400e96ca5447 424d4fa5de008f16b8664f15914ef146b6474c9b 43c2df535ac6f35971b2d7385042efad688abd2d 49bc1280fba13f7d0b93ee99d44a673a7a16ce07 5e2b565b5b918fe3b9f2b0a8c65d863787a13467 5e3391d8407d1034d14c264992483d89e4c0bfd9 5eabb1eed78c3302d82240523fe23c606c48575c 6b6097d27fc8b7fa4098acf190e61cff15046774 6bd0ff6fd04c83ecf28ad74e22ea44fcfea7564c 6c9c5d06c98a483f74b4a92d0609a379f870e489 74829065c60d39afe073137b934abbe361a75acc 7a8ba67717b05081bb52786833a48fe6f64a4be8 7db72517f3bf904d552a295677269cf6d6ddc7cb 7e49f455be1bbca40690421f00f7f1792b9020d4 90b47fc49a7838077772590a59a11b85962c3ecb 9600d8bd2fa3a3add26f5b5c0e3c42c751cc2bc5 96e77c4b944e32a5b1adf71c14767164bd604297 98bad7c2c2cb033a6d2e08cc2ec302364439407d 9a4922f3666f9ad7dda155226e654e7f62ce7817 a04a4aa629cd747c7d1cc227a55148be4a97416e a119d1a5f18d06f9280557c0ab1ea85733d050ee acaf0a1d7730ee6cac445bbbbc261d401a1723f6 af443940fb93466a131e8c0d468139b6b4434a33 bcd0782461351db6659e6b7974a1218a737999cf bdc6f7fad93e5ae6ac8eeb9f46d571e20bafd47b d8f32982e2042002d939d6cb33d9e46c4a65d0de db91b5b71861d9f0d63cb139cf8ffb47607b1002 dc3943b121fb91dd855111495434371c6b868a16 e0bbddcf82366c37728d9455f2b925b07d069e77 e4753e9e478797b4f0a00cd6d8ba155900170042 eafc2c03670abedc5bff723f506a53ded3280151 efa42e9c025d77080fd058d4b9aded653004db45 f853d0d1dc6589e4a19f217f604e0d9204cc0941 fc35e2ece2621cdd24f11ee55db869507895fe70 Package: python3-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python3:any, python3-matplotlib, python3-pil, python3-sphinx Suggests: python-sphinx-gallery-doc, python3-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python3-sphinx-gallery_0.2.0-1~nd100+1_all.deb Size: 71956 SHA256: 3d9e9c49a95e6ad725108c7d90d4cf3cf0908e8c98760649a4702e6b4aaaa14a SHA1: bbe7dd83647e0e7210c0a5c4d3b543d1b2726bb8 MD5sum: cd4bf97c721b9106e0d1c99672f586ef Description: extension that builds an HTML gallery of examples from Python scripts (Python 3) * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains the Python 3 version of sphinx-gallery. Package: python3-sphinxcontrib.apidoc Source: python-sphinxcontrib.apidoc Version: 0.3.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest, python3-pbr, python3-sphinx, python3:any Homepage: https://github.com/sphinx-contrib/apidoc Priority: optional Section: python Filename: pool/main/p/python-sphinxcontrib.apidoc/python3-sphinxcontrib.apidoc_0.3.0-2~nd100+1_all.deb Size: 8048 SHA256: 7a5803b6189625f206aa0b222ea3b5a878910829c657ed2cb2fd1888170375a0 SHA1: 27a9c2e1c352b54ee3eaed1a7c040b4fabd9c2cb MD5sum: 87e8a0c1e717fbb598f9540c0935e855 Description: Sphinx extension for running 'sphinx-apidoc' on each build - Python 3.x sphinx-apidoc is a tool for automatic generation of Sphinx sources that, using the autodoc sphinx_autodoc extension, documents a whole package in the style of other automatic API documentation tools. sphinx-apidoc does not actually build documentation - rather it simply generates it. As a result, it must be run before sphinx-build. . This package contains the Python 3.x module. Package: python3-statsmodels Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 18198 Depends: neurodebian-popularity-contest, python3-numpy, python3:any, python3-scipy, python3-statsmodels-lib (>= 0.9.0-2~nd100+1), python3-patsy, python3-pandas Recommends: python3-matplotlib, python3-joblib, python3-colorama, python3-cvxopt Suggests: python-statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python3-statsmodels_0.9.0-2~nd100+1_all.deb Size: 3426700 SHA256: 4e273ead9dc895dc7bb5cb2991d42a4e580f58c9980248bd4ffae9f2dd05ef67 SHA1: ff375d56e7afcabc00ea4e0ff12960c7d11c7082 MD5sum: 65c3593e5cc4b2c864698d0d6c3d85ae Description: Python3 module for the estimation of statistical models statsmodels Python3 module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python3-statsmodels-lib Source: statsmodels Version: 0.9.0-2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6497 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.8), python3 (>= 3.7~), libc6 (>= 2.27) Homepage: http://statsmodels.sourceforge.net/ Priority: optional Section: python Filename: pool/main/s/statsmodels/python3-statsmodels-lib_0.9.0-2~nd100+1_i386.deb Size: 922260 SHA256: d8eb2faacf0682e8db52ae3163b7bcdd7928781a09105ec34e405f2f26a1e74c SHA1: c82f494b15251f3f939a88dfd0564c20293614a6 MD5sum: 8ab3fcc860b0219f3a1205538ffcb986 Description: Python3 low-level implementations and bindings for statsmodels Statsmodels is a Python module for the estimation of statistical models . This package contains architecture dependent extensions for python3-statsmodels. Package: python3-statsmodels-lib-dbgsym Source: statsmodels Version: 0.9.0-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7044 Depends: python3-statsmodels-lib (= 0.9.0-2~nd100+1) Priority: optional Section: debug Filename: pool/main/s/statsmodels/python3-statsmodels-lib-dbgsym_0.9.0-2~nd100+1_i386.deb Size: 6197604 SHA256: 0e012fe6abc93500a288ef455d12ff436ac806f680bb54dcaaa6643ec82bfc86 SHA1: 0abe98fb99975c51f205ab25854056f1c80a0ecf MD5sum: 3c9c128fd6d47b054b97b735f5074217 Description: debug symbols for python3-statsmodels-lib Build-Ids: 069b503a9bc1c2723d695868c2f8cdaf41fc95e8 07ee98904122c7db5f20b2e1e058423ca37a1440 2c9f9ddcd307c84d494ccf1e858867bdcf7968bd 2dfc9cf13dd4f1cc8706aa7bd395888298ffb8a6 446790ebc7bc2de7d9a50483cd019aee5bd2227e 683ad1ef8f6fb92d2b03bf2baae0f34a8b3b4b9a 76ba77b4d23387f7ac9688b7ce895d17d6d93e84 7761b14098eac4e0a4059e23bf399b62c96a4770 86f61e257c561cba24f66627a4987ff95622786f 9f91d6ff58bea776924d47e7bbf3eb0ba9468af5 aa43233e82b4ffbf75d1348eed63defb6587b360 b87fd4cee5daf22da37e627141ab97b04813b968 c1628c13ea5be242617a04b7c6ce406ae9890307 c1ce2e4bc9c0caf9da4428ec31f099ff85e90da1 dda110309d655a7c8949c2c37b8b5a94de0af5e5 ded5037772e9ac35c6fdb9daad7a03c51ba1984c e99ccd5b24f0ac92eb0e90f3bdf90664d3c83f05 f29c2d34a1f480fbee8add0297707f48e813f310 Package: python3-sympy Source: sympy Version: 1.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26373 Depends: neurodebian-popularity-contest, python3:any, python3-mpmath Recommends: python3-pil, ipython3, python3-numpy Suggests: texlive-fonts-extra, dvipng, python-sympy-doc Enhances: isympy3 Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/python3-sympy_1.3-1~nd100+1_all.deb Size: 3499676 SHA256: 48a50331b39f7071025d69fe6a61a5234643253bc0bf6d07cb67059027b71b4e SHA1: 545d2d834dded57507d83d8956aa320cb6bd9790 MD5sum: a823958b7178dfbc7e38bc73579d094a Description: Computer Algebra System (CAS) in Python (Python3) SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains the Python 3 version of sympy. Package: python3-typing-extensions Source: python-typing-extensions Version: 3.10.0.2-1~bpo11+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 213 Depends: neurodebian-popularity-contest, python3:any Homepage: https://github.com/python/typing/blob/master/typing_extensions/README.rst Priority: optional Section: python Filename: pool/main/p/python-typing-extensions/python3-typing-extensions_3.10.0.2-1~bpo11+1~nd100+1_all.deb Size: 35352 SHA256: 1e777a6fc60df365e975a6759e011f6df1222d275898e35c23fa73b3296d8528 SHA1: 0434de2e61af3d80052fc89348f99b72ebc15eec MD5sum: 67f0c68951629049cc7f42a94ca04c05 Description: Backported and Experimental Type Hints for Python The typing module was added to the standard library in Python 3.5 on a provisional basis and will no longer be provisional in Python 3.7. However, this means users of Python 3.5 - 3.6 who are unable to upgrade will not be able to take advantage of new types added to the typing module, such as typing.Text or typing.Coroutine. . The typing_extensions module contains both backports of these changes as well as experimental types that will eventually be added to the typing module, such as Protocol. . Users of other Python versions should continue to install and use the typing module from PyPI instead of using this one unless specifically writing code that must be compatible with multiple Python versions or requires experimental types. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python3-whoosh_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 290826 SHA256: 571725d4546678cbe70e525f38fc66853aa7fda32e27b56dfaac8ce5b674210b SHA1: fb6fa2b9a76d4ed9fec61aeb4972ce88487d5e7f MD5sum: b46e377dd534da6136e6d9d087ca69a2 Description: pure-Python full-text indexing, search, and spell checking library (Python 3) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python3 library Package: python3-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: python3-zipp Source: python-zipp Version: 1.0.0-3+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: neurodebian-popularity-contest, python3-more-itertools, python3:any Homepage: https://github.com/jaraco/zipp Priority: optional Section: python Filename: pool/main/p/python-zipp/python3-zipp_1.0.0-3+nd1~nd100+1_all.deb Size: 6328 SHA256: bba26d9e30ec2c9aff0e198faf7ba9a349328cd943a95b77ac4d0101ba8dc59a SHA1: 30805a67bdced18ebdbf7427f4cef53b10c653dd MD5sum: 9df129f8f7bd46e1d925fc5d01f99f14 Description: pathlib-compatible Zipfile object wrapper - Python 3.x A backport of the Path object to older versions of Python. It's pathlib-compatible interface for zip files using zipfile object inside. . This package contains Python 3.x module. Package: 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: s3cmd Version: 2.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 525 Depends: neurodebian-popularity-contest, python3-dateutil, python3-magic, python3:any Homepage: https://s3tools.org/s3cmd Priority: optional Section: utils Filename: pool/main/s/s3cmd/s3cmd_2.3.0-1~nd100+1_all.deb Size: 120848 SHA256: 77501eaa498200c2f212b33e916fc77add9534f965fd0079a1492b6dd564afe6 SHA1: 1c8e46f377cd1ec925fea9487fe8dc1509be725e MD5sum: 504f1d795172e662789e5e7d4f465190 Description: command-line Amazon S3 client Command-line tool to upload, retrieve and manage data in Amazon S3 service (http://www.amazon.com/s3/), designed for use in scripts. Features: - creating and destroying S3 buckets - uploading and downloading files - listing remote files - removing remote files - synchronizing local directories to S3 buckets - getting various information about buckets and disk usage . s3cmd supports both (US and EU) S3 datacentres. Package: singularity-container Version: 2.6.1-2+nd2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2609 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+nd2~nd100+1_i386.deb Size: 330404 SHA256: 976a1a783d4e0f48975e7068170429ce2b3ed6bdf24024b3b1b9a069df80491a SHA1: 51bebd5c671b2593a08cace81de27b6437b0977e MD5sum: 35297045b3413261187e524771d31b4e Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container-dbgsym Source: singularity-container Version: 2.6.1-2+nd2~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1034 Depends: singularity-container (= 2.6.1-2+nd2~nd100+1) Priority: optional Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.6.1-2+nd2~nd100+1_i386.deb Size: 833612 SHA256: ccf35a469e2adfb34daa43d573273337e01be3364f29be03424ee93677da2847 SHA1: 839de39987b2c800dc67a68893b8d86189132d01 MD5sum: 970adf6122f9562034cbacde3e86e4f7 Description: debug symbols for singularity-container Build-Ids: 002db980d33408128475bad156f5f1f7d5f9e078 1d12e3bfda737c657805646e1d0454ce68b9a25e 296ac0877c4de86fd848615148e199f1bb954d71 366e13442078fc49e584cff4903ed55809e6368f 4e6a4b1bd48ed18969df2502be1a6d03729da7c7 636b5a7adf9b8ab4e8e94e17c5ee5b348abcb770 76c96beb1f21a59bf90f20473e58533222d7510e 96c095b369dc0676d7a422708cc64666fedab69e a23d8eeea8e13f264e6cd4bd296fb1894d00e5df c5dd415d0e0bfaba3a7d627a4ab442e332c7d8f1 d0d645af9b1386781f54a4344f875f16ca1ed687 d0f4740b875c387d2e4f131589bb36ec6a465ed5 d79d4ec77b39ae98a2c997b0d171af8dd43b8695 da1d0c33a43c3de3c8fd26ea829632193a5bc822 e42208cd40d789e864cc21f25e7da3a8606c6bc4 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: svgtune Version: 0.3.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest, python3, python3-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.3.1-1~nd100+1_all.deb Size: 7580 SHA256: 3dbc7d06e6ca687ecbc32d3087a05733b25197a2789b8134a4f8b6aaf0b6b8dc SHA1: 280a40371578a187922e9b844b227cc2f865eb6e MD5sum: fc56a891980b1a02ca1d1c52c17c2668 Description: tool to generate a set of .svg files out of a single .svg file svgtune is a little helper to generate a set of .svg files out of a single .svg file, by tuning respective groups/layers visibility, transparency or anything else. . It might come very handy for generation of incremental figures to be embedded into the presentation in any format which inkscape could render using original .svg file (e.g. pdf, png). Package: vowpal-wabbit 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. Package: youtube-dl Version: 2021.12.17-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5937 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3:any Recommends: aria2 | wget | curl, ca-certificates, ffmpeg, mpv | mplayer, python3-pyxattr, rtmpdump, python3-pycryptodome Suggests: libfribidi-bin | bidiv, phantomjs Homepage: https://ytdl-org.github.io/youtube-dl/ Priority: optional Section: web Filename: pool/main/y/youtube-dl/youtube-dl_2021.12.17-1~nd110+1_all.deb Size: 1128692 SHA256: 75859d2f34a475fc0f199cd6d2b73e18c29cda44406530964890dcb790008eca SHA1: 09f85f2abc32eb5e9c2ccd6bfd1354ea332b6489 MD5sum: 6d04814be91bd9f85a7d3793ff2a2fb3 Description: downloader of videos from YouTube and other sites youtube-dl is a small command-line program to download videos from YouTube.com and other sites that don't provide direct links to the videos served. . youtube-dl allows the user, among other things, to choose a specific video quality to download (if available) or let the program automatically determine the best (or worst) quality video to grab. It supports downloading entire playlists and all videos from a given user. . Currently supported sites (or features of sites) are: . 1tv, 20min, 220.ro, 23video, 24video, 3qsdn, 3sat, 4tube, 56.com, 5min, 6play, 7plus, 8tracks, 91porn, 9c9media, 9gag, 9now.com.au, abc.net.au, abc.net.au:iview, abcnews, abcnews:video, abcotvs, abcotvs:clips, AcademicEarth:Course, acast, acast:channel, ADN, AdobeConnect, adobetv, adobetv:channel, adobetv:embed, adobetv:show, adobetv:video, AdultSwim, aenetworks, aenetworks:collection, aenetworks:show, afreecatv, AirMozilla, AliExpressLive, AlJazeera, Allocine, AlphaPorno, Amara, AMCNetworks, AmericasTestKitchen, AmericasTestKitchenSeason, anderetijden, AnimeOnDemand, Anvato, aol.com, APA, Aparat, AppleConnect, AppleDaily, ApplePodcasts, appletrailers, appletrailers:section, archive.org, ArcPublishing, ARD, ARD:mediathek, ARDBetaMediathek, Arkena, arte.sky.it, ArteTV, ArteTVEmbed, ArteTVPlaylist, AsianCrush, AsianCrushPlaylist, AtresPlayer, ATTTechChannel, ATVAt, AudiMedia, AudioBoom, audiomack, audiomack:album, AWAAN, awaan:live, awaan:season, awaan:video, AZMedien, BaiduVideo, Bandcamp, Bandcamp:album, Bandcamp:weekly, bangumi.bilibili.com, bbc, bbc.co.uk, bbc.co.uk:article, bbc.co.uk:iplayer:playlist, bbc.co.uk:playlist, BBVTV, Beatport, Beeg, BehindKink, Bellator, BellMedia, Bet, bfi:player, bfmtv, bfmtv:article, bfmtv:live, BibelTV, Bigflix, Bild, BiliBili, BilibiliAudio, BilibiliAudioAlbum, BiliBiliPlayer, BioBioChileTV, Biography, BIQLE, BitChute, BitChuteChannel, BleacherReport, BleacherReportCMS, blinkx, Bloomberg, BokeCC, BongaCams, BostonGlobe, Box, Bpb, BR, BravoTV, Break, brightcove:legacy, brightcove:new, BRMediathek, bt:article, bt:vestlendingen, BusinessInsider, BuzzFeed, BYUtv, Camdemy, CamdemyFolder, CamModels, CamTube, CamWithHer, canalc2.tv, Canalplus, Canvas, CanvasEen, CarambaTV, CarambaTVPage, CartoonNetwork, cbc.ca, cbc.ca:olympics, cbc.ca:player, cbc.ca:watch, cbc.ca:watch:video, CBS, CBSInteractive, CBSLocal, CBSLocalArticle, cbsnews, cbsnews:embed, cbsnews:livevideo, CBSSports, CCMA, CCTV, CDA, CeskaTelevize, CeskaTelevizePorady, channel9, CharlieRose, Chaturbate, Chilloutzone, chirbit, chirbit:profile, cielotv.it, Cinchcast, Cinemax, CiscoLiveSearch, CiscoLiveSession, CJSW, cliphunter, Clippit, ClipRs, Clipsyndicate, CloserToTruth, CloudflareStream, Cloudy, Clubic, Clyp, cmt.com, CNBC, CNBCVideo, CNN, CNNArticle, CNNBlogs, ComedyCentral, ComedyCentralTV, CommonMistakes, CondeNast, CONtv, Corus, Coub, Cracked, Crackle, CrooksAndLiars, crunchyroll, crunchyroll:playlist, CSpan, CtsNews, CTV, CTVNews, cu.ntv.co.jp, Culturebox, CultureUnplugged, curiositystream, curiositystream:collection, CWTV, DailyMail, dailymotion, dailymotion:playlist, dailymotion:user, daum.net, daum.net:clip, daum.net:playlist, daum.net:user, DBTV, DctpTv, DeezerPlaylist, defense.gouv.fr, democracynow, DHM, Digg, DigitallySpeaking, Digiteka, Discovery, DiscoveryGo, DiscoveryGoPlaylist, DiscoveryNetworksDe, DiscoveryVR, Disney, dlive:stream, dlive:vod, Dotsub, DouyuShow, DouyuTV, DPlay, DRBonanza, Dropbox, DrTuber, drtv, drtv:live, DTube, Dumpert, dvtv, dw, dw:article, EaglePlatform, EbaumsWorld, EchoMsk, egghead:course, egghead:lesson, ehftv, eHow, EinsUndEinsTV, Einthusan, eitb.tv, EllenTube, EllenTubePlaylist, EllenTubeVideo, ElPais, Embedly, EMPFlix, Engadget, Eporner, EroProfile, Escapist, ESPN, ESPNArticle, EsriVideo, Europa, EWETV, ExpoTV, Expressen, ExtremeTube, EyedoTV, facebook, FacebookPluginsVideo, faz.net, fc2, fc2:embed, Fczenit, filmon, filmon:channel, Filmweb, FiveThirtyEight, FiveTV, Flickr, Folketinget, FootyRoom, Formula1, FOX, FOX9, FOX9News, Foxgay, foxnews, foxnews:article, FoxSports, france2.fr:generation-what, FranceCulture, FranceInter, FranceTV, FranceTVEmbed, francetvinfo.fr, FranceTVJeunesse, FranceTVSite, Freesound, freespeech.org, FreshLive, FrontendMasters, FrontendMastersCourse, FrontendMastersLesson, FujiTVFODPlus7, Funimation, Funk, Fusion, Fux, Gaia, GameInformer, GameSpot, GameStar, Gaskrank, Gazeta, GDCVault, generic, Gfycat, GiantBomb, Giga, GlattvisionTV, Glide, Globo, GloboArticle, Go, GodTube, Golem, google:podcasts, google:podcasts:feed, GoogleDrive, Goshgay, GPUTechConf, Groupon, hbo, HearThisAt, Heise, HellPorno, Helsinki, HentaiStigma, hetklokhuis, hgtv.com:show, HiDive, HistoricFilms, history:player, history:topic, hitbox, hitbox:live, HitRecord, hketv, HornBunny, HotNewHipHop, hotstar, hotstar:playlist, Howcast, HowStuffWorks, HRTi, HRTiPlaylist, Huajiao, HuffPost, Hungama, HungamaSong, Hypem, ign.com, IGNArticle, IGNVideo, IHeartRadio, iheartradio:podcast, imdb, imdb:list, Imgur, imgur:album, imgur:gallery, Ina, Inc, IndavideoEmbed, InfoQ, Instagram, instagram:tag, instagram:user, Internazionale, InternetVideoArchive, IPrima, iqiyi, Ir90Tv, ITTF, ITV, ITVBTCC, ivi, ivi:compilation, ivideon, Iwara, Izlesene, Jamendo, JamendoAlbum, JeuxVideo, Joj, Jove, JWPlatform, Kakao, Kaltura, Kankan, Karaoketv, KarriereVideos, Katsomo, KeezMovies, Ketnet, khanacademy, khanacademy:unit, KickStarter, KinjaEmbed, KinoPoisk, KonserthusetPlay, KrasView, Ku6, KUSI, kuwo:album, kuwo:category, kuwo:chart, kuwo:mv, kuwo:singer, kuwo:song, la7.it, laola1tv, laola1tv:embed, lbry, lbry:channel, LCI, Lcp, LcpPlay, Le, Lecture2Go, Lecturio, LecturioCourse, LecturioDeCourse, LEGO, Lemonde, Lenta, LePlaylist, LetvCloud, Libsyn, life, life:embed, limelight, limelight:channel, limelight:channel_list, LineTV, linkedin:learning, linkedin:learning:course, LinuxAcademy, LiTV, LiveJournal, LiveLeak, LiveLeakEmbed, livestream, livestream:original, livestream:shortener, LnkGo, loc, LocalNews8, LoveHomePorn, lrt.lt, lynda, lynda:course, m6, mailru, mailru:music, mailru:music:search, MallTV, mangomolo:live, mangomolo:video, ManyVids, Markiza, MarkizaPage, massengeschmack.tv, MatchTV, MDR, MedalTV, media.ccc.de, media.ccc.de:lists, Medialaan, Mediaset, Mediasite, MediasiteCatalog, MediasiteNamedCatalog, Medici, megaphone.fm, Meipai, MelonVOD, META, metacafe, Metacritic, mewatch, Mgoon, MGTV, MiaoPai, minds, minds:channel, minds:group, MinistryGrid, Minoto, miomio.tv, MiTele, mixcloud, mixcloud:playlist, mixcloud:user, MLB, Mms, Mnet, MNetTV, MoeVideo, Mofosex, MofosexEmbed, Mojvideo, Morningstar, Motherless, MotherlessGroup, Motorsport, MovieClips, MovieFap, Moviezine, MovingImage, MSN, mtg, mtv, mtv.de, mtv:video, mtvjapan, mtvservices:embedded, MTVUutisetArticle, MuenchenTV, mva, mva:course, Mwave, MwaveMeetGreet, MyChannels, MySpace, MySpace:album, MySpass, Myvi, MyVidster, MyviEmbed, MyVisionTV, n-tv.de, natgeo:video, NationalGeographicTV, Naver, NBA, nba:watch, nba:watch:collection, NBAChannel, NBAEmbed, NBAWatchEmbed, NBC, NBCNews, nbcolympics, nbcolympics:stream, NBCSports, NBCSportsStream, NBCSportsVPlayer, ndr, ndr:embed, ndr:embed:base, NDTV, NerdCubedFeed, netease:album, netease:djradio, netease:mv, netease:playlist, netease:program, netease:singer, netease:song, NetPlus, Netzkino, Newgrounds, NewgroundsPlaylist, Newstube, NextMedia, NextMediaActionNews, NextTV, Nexx, 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