Package: afni-atlases Source: afni-data Version: 0.20180120-1.1+nd18.04+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+nd18.04+1_all.deb Size: 98214444 SHA256: 0856660b51d43e481685002dd8599f4d1bbae5522cf7a4e81024b7abc201dcc4 SHA1: d93085ad5d93ae6804848ee27214a2bb5966d82e MD5sum: 1017a599b41327936b4da772fdc25dce 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 283 Depends: neurodebian-popularity-contest, ruby | ruby-interpreter, ruby-asciidoctor Multi-Arch: foreign Homepage: http://asciidoctor.org Priority: optional Section: text Filename: pool/main/a/asciidoctor/asciidoctor_1.5.7.1-1~nd~nd18.04+1_amd64.deb Size: 64176 SHA256: 60a8a558a264729c06d272b9a57248ad3cfa47cbf9f7ad6bf8bdbaf874f7b610 SHA1: 575172d02a0dcceac9d0f06c8eb6f86dd9b427d0 MD5sum: 925d820a78f5ea22f707c001d5b7bb1a 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3304 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~nd18.04+1_all.deb Size: 345560 SHA256: 4c4a3b27251a4400bb20229d164a82948e89b368f98081d66b2ea0e63878854f SHA1: b26f6a5adb171d9a6e18b199900502fc84470416 MD5sum: 2c7a64d03fdcf8039d62345a9c0f5a8f 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~nd18.04+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~nd18.04+1_all.deb Size: 47920 SHA256: 25a2bcceb75c1650bb7c47a81fbdf4fa6046c483fc7716e074f896c746210a77 SHA1: 86e9fb7a222e6da732115505a638023f7d0fe489 MD5sum: 9e79130592ea0255423663fe4a0e5526 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~nd18.04+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~nd18.04+1_all.deb Size: 120168 SHA256: 15f07e03bbc810c6dbcf8233407de5f85459e4c495553bb190ea104eb3df5ebb SHA1: 12b0ec7c4b3ae304c6ddca2e49d7129d908ee969 MD5sum: 11020e38909b59d930e0bee2522141d7 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: cnrun-tools Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 69 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcnrun2 (>= 2.0.0), libgcc1 (>= 1:3.0), libgsl23, libstdc++6 (>= 5.2) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun-tools_2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_amd64.deb Size: 18192 SHA256: 063b73cf6697082728cad4abec3fe5efc10f410d51e15ca51f036916689b73a0 SHA1: 70c7aae8cb40a7b90d370702df1a60eae4a49871 MD5sum: c86887d17050cad05130a48091502690 Description: NeuroML-capable neuronal network simulator (tools) CNrun is a neuronal network simulator implemented as a Lua package. This package contains two standalone tools (hh-latency-estimator and spike2sdf) that may be of interest to CNrun users. . See lua-cnrun description for extended description. Package: connectome-workbench Version: 2.0.1-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 63785 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libftgl2 (>= 2.1.3~rc5), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.9.0~beta), libqt5network5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.7.0), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_2.0.1-1~nd18.04+1_amd64.deb Size: 26819508 SHA256: 01942c547631d285e974767c899a4517052b453131d124f8b0a08ccc69ae7948 SHA1: 0c1c733f69dbb538851b3c64bad1a27a21ebcecb MD5sum: 976e7c64e6b7d8a432f321ae04bcadbe 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 281783 Depends: neurodebian-popularity-contest, connectome-workbench (= 2.0.1-1~nd18.04+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~nd18.04+1_amd64.deb Size: 278492148 SHA256: b85a0eec9b0e4b814eb306e617d6f4b7bddc0abff4063632f7a0986a4c75f7ac SHA1: 230181e2d6056e9e2ec8d7860ee80b7893896596 MD5sum: 2fc9da9c65ee5055b82b569c4a1f79a7 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: 55cdc51ca671c5633965d9318f4f3089bcb70dc0 5e9339199bb4dcbd47d8ef081d908296eda8dce0 Package: convert3d Version: 0.0.20190204-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 64217 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.0), libgdcm2.8, libinsighttoolkit4.12 (>= 4.12.0-dfsg1-2~), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.8.0), libqt5widgets5 (>= 5.7.0), libstdc++6 (>= 5.2) Homepage: https://sourceforge.net/projects/c3d/ Priority: optional Section: science Filename: pool/main/c/convert3d/convert3d_0.0.20190204-1~nd18.04+1_amd64.deb Size: 9903828 SHA256: 78a5ec740b288e3533b259c262296f03370ac66b7cedfb0ec0d2494f84ca1586 SHA1: 0ecc1b82ad46e4297deec939717f9c5900fd78b4 MD5sum: 1a4c0b5e84a35548a3df5c2046a1b3cf Description: tool(s) for converting 3D images between common file formats C3D is a (command-line and GUI) tool for converting 3D images between common file formats. The tool also includes a growing list of commands for image manipulation, such as thresholding and resampling. Package: copyq Version: 3.6.1-1~nd1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4799 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.8.0), libqt5network5 (>= 5.0.2), libqt5script5 (>= 5.6.0~beta), libqt5svg5 (>= 5.6.0~beta), libqt5widgets5 (>= 5.7.0), libqt5x11extras5 (>= 5.6.0), libstdc++6 (>= 4.8), libx11-6, libxtst6 Recommends: copyq-plugins (= 3.6.1-1~nd1~nd18.04+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~nd18.04+1_amd64.deb Size: 1283168 SHA256: 05443e1a4d852de0ac55350b39785265fe6a1576db9b8a2c1b74a41661430353 SHA1: c0179eb1a782bdb714bce80d4e18731e1be7fb48 MD5sum: 89e0db0bb6b5ee974d08a92d625f4dda Description: Advanced clipboard manager with editing and scripting features CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . Items can be: * edited with internal editor or with preferred text editor, * moved to other tabs, * drag'n'dropped to applications, * marked with tag or a note, * passed to or changed by custom commands, * or simply removed. . Features: * Support for Linux, Windows and OS X 10.9+ * Store text, HTML, images or any other custom formats * Quickly browse and filter items in clipboard history * Sort, create, edit, remove, copy/paste, drag'n'drop items in tabs * Add notes or tags to items * System-wide shortcuts with customizable commands * Paste items with shortcut or from tray or main window * Fully customizable appearance * Advanced command-line interface and scripting * Ignore clipboard copied from some windows or containing some text * Support for simple Vim-like editor and shortcuts * Many more features Package: copyq-doc Source: copyq Version: 3.6.1-1~nd1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1601 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Built-Using: sphinx (= 1.6.7-1ubuntu1) 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~nd18.04+1_all.deb Size: 897676 SHA256: 32757da046e32b1b57b590c0cbd3ab49b57d1dd138c6a97218b93257176519cc SHA1: 8a9556d7c7d5cc536bf117cef478603557f509de MD5sum: e66f573f7ecec602cbe951309c4068e7 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2576 Depends: neurodebian-popularity-contest, copyq (= 3.6.1-1~nd1~nd18.04+1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.2.0), libqt5widgets5 (>= 5.7.0), libstdc++6 (>= 4.8) Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: utils Filename: pool/main/c/copyq/copyq-plugins_3.6.1-1~nd1~nd18.04+1_amd64.deb Size: 568316 SHA256: 804b81e60e5265fc6557e99fb6ae39cc46ef9458f38201a865b8d6c859e21be0 SHA1: bc03cf8343b6046a93ea987fbbc1bfaeb63fb1f0 MD5sum: 1577951ab2fe932a4da1f9a092b75bf9 Description: Plugins for CopyQ CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . This package contains plugins that add various item types support and features to CopyQ, including: * Text with Highlighting * Images * Web Pages * Various Data * Notes * Encryption * FakeVim Editor * Synchronize Items to Disk * Item Tags * Pinned Items Package: datalad Version: 0.14.7-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 187 Depends: neurodebian-popularity-contest, python3-datalad (= 0.14.7-1~nd18.04+1), python3-argcomplete, python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.14.7-1~nd18.04+1_all.deb Size: 147488 SHA256: aa8b1cdf3f6e52d1e0aa886c9bb3a418f207acf1bdb787909f1ab617aab6de58 SHA1: ff873ddb68f040fecfb27156a9af795226021210 MD5sum: f62297773fb609427d89a3d63e2b7c85 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~nd18.04+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 (>= 3.3.2-2~) Recommends: singularity-container Suggests: docker.io Homepage: http://datalad-container.rtfd.org Priority: optional Section: science Filename: pool/main/d/datalad-container/datalad-container_1.1.2-1~nd18.04+1_all.deb Size: 26504 SHA256: f5358963bac5671148733e9455fd27b3afc99125f124b0529a55eecabdcda862 SHA1: 34f2d69f2493cca1b7a549b06ae65d7338775a94 MD5sum: 7c07c66eeb8cf9fe0e4ce04ce99abc67 Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: dcm2niix Version: 1:1.0.20240202-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1273 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopenjp2-7 (>= 2.0.0), libstdc++6 (>= 5.2), libyaml-cpp0.5v5 Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20240202-1~nd18.04+1_amd64.deb Size: 307800 SHA256: a2ed049f5f69fcfdeb4d8ac2a28a71541e8aa1facf9c22acb56d6cad2b149085 SHA1: 40288df407325fc4f0d7b871d2ca9224e0a16bb4 MD5sum: 761c4356743840a8251607daabae7232 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~nd18.04+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1390 Depends: dcm2niix (= 1:1.0.20240202-1~nd18.04+1) Priority: optional Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20240202-1~nd18.04+1_amd64.deb Size: 1323592 SHA256: 12902ad3d1e25d18d98ab3730b3b9d55afd2e1ce5ab577820dc2e302ee93ad7d SHA1: 566288e78aedfbac331b72cb1f7f06700eb19e0f MD5sum: 4a9bc86e8cbc9e208546618dcdb3b3fe Description: debug symbols for dcm2niix Build-Ids: 0e664d6c1bc4fcb547804e97aeb9c49812184279 e57342b7bc0f50e5fe51fbabd64c7330bd68acee Package: debhelper Version: 12.1.1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1602 Depends: neurodebian-popularity-contest, autotools-dev, dh-autoreconf (>= 17~), dh-strip-nondeterminism (>= 0.028~), dpkg (>= 1.18.0~), dpkg-dev (>= 1.18.2~), dwz, file (>= 3.23), libdpkg-perl (>= 1.17.14), man-db, po-debconf, perl Suggests: dh-make Breaks: cmake (<< 3.9~), dh-systemd (<< 1.38), meson (<< 0.40.0~) Replaces: dh-systemd (<< 1.38) Provides: debhelper-compat (= 9), debhelper-compat (= 10), debhelper-compat (= 11), debhelper-compat (= 12), dh-sequence-dwz, dh-sequence-installinitramfs, dh-sequence-systemd Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/d/debhelper/debhelper_12.1.1~nd18.04+1_all.deb Size: 1009564 SHA256: 34b326879c038050300d8290ce9308a4bb487032965086c54b8b990a15ee2ccf SHA1: d98c6833310a53e4d22524b59417f7112b466027 MD5sum: df81feaf2c2a515a13493a7ac29ff924 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: 0.6.0~bpo9+1+nd1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, liboctave-dev (>= 4.2.1-5), debhelper (>= 11), cme, libparse-debcontrol-perl, libmime-tools-perl, dh-octave-autopkgtest, perl Priority: optional Section: devel Filename: pool/main/d/dh-octave/dh-octave_0.6.0~bpo9+1+nd1~nd18.04+1_all.deb Size: 20048 SHA256: eabfa763f6f4ff1a2a3d0f2f7ae692ec97d8b9e1d5aaa19db52fdc5920d50430 SHA1: 911d062df41aa32686c8c3da2dc6c075fb58b4cd MD5sum: 1c4d777fc219be1cb0f542d5d8dbd579 Description: Debhelper-based infrastructure for building Octave add-on packages Since version 3.0 of Octave (a numerical computation software), add-ons can be installed through the pkg.m system. This package provides the infrastructure for packaging such add-ons for Debian, based on debhelper. It replaces the deprecated octave-pkg-dev package. This package contains debhelper-like scripts for building, checking and cleaning the add-on package as well as for generating the substitution variables in debian/control. . This package is intended to be used by the Debian Octave Group and should be of little interest to general users. Package: dh-octave-autopkgtest Source: dh-octave Version: 0.6.0~bpo9+1+nd1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, gnuplot-nox, fonts-freefont-otf Priority: optional Section: devel Filename: pool/main/d/dh-octave/dh-octave-autopkgtest_0.6.0~bpo9+1+nd1~nd18.04+1_all.deb Size: 8504 SHA256: 3ac9f32f9928b941fb71540cdc46ac707104454795149ec583b6fa044abe986e SHA1: 56de1b9fca49329a400a1169ae2d421d2a15b906 MD5sum: d40f224e24b9ddc68cbf73490e9a3bca 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~nd18.04+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~nd18.04+1_all.deb Size: 122664 SHA256: d3bd11fe445bc5de4531c5a74c99af9e5893b291801d429edac11ff44a479a5a SHA1: f503328020aa20024d733c1e3998dae184574486 MD5sum: a8636e6de984eb138561bde6c39bd084 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 447 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libelf1 (>= 0.131) Multi-Arch: foreign Homepage: https://www.sourceware.org/dwz/ Priority: optional Section: devel Filename: pool/main/d/dwz/dwz_0.13-5~nd18.04+1_amd64.deb Size: 136968 SHA256: 2adf5e2298a1d6cae61c8fc917aab61f0f3ffde12875550dc8fb2b5468a4ce50 SHA1: 38911824cc2d44619996d3257277202b82ad29ce MD5sum: 06e53cf8da27b40da934a20b3d22369f Description: DWARF compression tool DWARF optimizer and duplication removal utility. Package: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 96 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~nd18.04+1_amd64.deb Size: 26448 SHA256: 48f43ab813b23f541b68c6c9b2ff0e1649a663a43fdafd963b37c4ed6fee0941 SHA1: df8e0821d42edac8725b8b0e44bfc05921aa2731 MD5sum: 1fa47e49a496772c0fa6a9318039d84a 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 43 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd18.04+1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Multi-Arch: foreign Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: graphics Filename: pool/main/e/exempi/exempi_2.4.1-1~nd18.04+1_amd64.deb Size: 17084 SHA256: c83c86fa3c2cb7ab64835761f329d6d245aa5025504fe9179295f85825547681 SHA1: a6af2a5bf2909e1d0ec2d30bc0b4f2f5eef91bbf MD5sum: 8aa810ab99aca3a33c7661c4f4d59c5b 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: freenect Source: libfreenect Version: 1:0.5.3-3~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, libfreenect-bin, libfreenect-dev, libfreenect0.5, libfreenect-doc Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/freenect_0.5.3-3~nd18.04+1_amd64.deb Size: 9024 SHA256: aeab0870e93eae660241cc9b8a8d2bb9abf2f41ff5f444a4f3eb3438fd34b4a8 SHA1: 45dc26bfe82837fdf4f7ec66baab3ed8632791a9 MD5sum: 2b011226fe7f807d89f1cd78373496ef Description: library for accessing Kinect device -- metapackage libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the metapackage to install all components of the project. Package: fsl-melview Source: melview Version: 1.0.1+git9-ge661e05~dfsg.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73 Depends: neurodebian-popularity-contest, python-matplotlib, python-nibabel, python-numpy, python-pkg-resources, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pyface, python-traits, python-traitsui, python-enthoughtbase Suggests: fsl-core Homepage: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Melview Priority: optional Section: science Filename: pool/main/m/melview/fsl-melview_1.0.1+git9-ge661e05~dfsg.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb Size: 14132 SHA256: dbb9a44857a6002fede9dfaf3790a25b49cfdc7c5177ab15482e5ec413be678b SHA1: fe682e7eaf4d362566f51f16269dc82dfd8f57bb MD5sum: 3d6113be820954219d515010846df847 Description: viewer for the output of FSL's MELODIC This viewer can be used to facilitate manual inspection and classification of ICA components computed by MELODIC. As such, it is suited to generate hand-curated labels for FSL's ICA-based denoising tool FIX. Python-Version: 2.7 Package: fsleyes Version: 0.15.2-1~nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239791 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-indexed-gzip, python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd17.10+1+nd18.04+1_all.deb Size: 26726256 SHA256: e5c11fdb600c2e3350c948c17d4906c30b533e198a0c2f9a973806891cb0acb0 SHA1: dfbe97d8d56f9de39585d952c56e2beb743e579c MD5sum: aeeaef340b4aa3016b68f120d4b04430 Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: git Version: 1:2.24.0-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 40079 Depends: neurodebian-popularity-contest, libc6 (>= 2.16), libcurl3-gnutls (>= 7.56.1), libexpat1 (>= 2.0.1), libpcre2-8-0 (>= 10.31), 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~nd18.04+1_amd64.deb Size: 6176860 SHA256: 5bebb92703ca86bbd557d078bf5a2039db074289f539bee6ff526389de0689b9 SHA1: 57381afe0e2baa8253bd5844d6178f74096dfc60 MD5sum: 75eb4a62185155c8f7cdec6f4c58a20c 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~nd18.04+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~nd18.04+1_all.deb Size: 834248 SHA256: 3ceb787938d4f74e5fe7a470ab7d7b6c89fdfc9ca92d74b3b508f0052602ec0e SHA1: 9364a52edf6c1a64ed1a4992826449b6ff90b3c3 MD5sum: c25df0535ad667dc4bd7649b5e79c3f3 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~nd18.04+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~nd18.04+1_all.deb Size: 8184 SHA256: 6159152cd29090d88f838289aa1c04ba5ae0ef39151187cc414ca606fdfe7f25 SHA1: a167956fad75e424cd30891c0671280d63bf2405 MD5sum: b84c6752c8054109a2ec86e2f8960d90 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 10.20241031-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 166312 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, yt-dlp, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Breaks: datalad (<= 0.12.3~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_10.20241031-1~ndall+1_amd64.deb Size: 53000596 SHA256: 8080805f2216a629460f3b65242f5562fd0f1ac34403ca0713bb0a1e132ea172 SHA1: 01eba33bc328a2698a427d7006259343f31b4a5a MD5sum: b572f29657b3bba8053a3ec047ec2ed5 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing large files with git, without storing the file contents in git. It can sync, backup, and archive your data, offline and online. Checksums and encryption keep your data safe and secure. Bring the power and distributed nature of git to bear on your large files with git-annex. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with dozens of cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: git-cvs Source: git Version: 1:2.24.0-1~nd18.04+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~nd18.04+1_all.deb Size: 897184 SHA256: df3318bd496b4f17a8a4bf7954a7bd1c5813a8b55ca3a4b0eb4bdf39bbeeed36 SHA1: ae69b0806c9116b91e2f3259c51b44c67db7429d MD5sum: 3428b23df703f4864828060bb5ed2835 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~nd18.04+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~nd18.04+1_all.deb Size: 835876 SHA256: 8cfb04def641f64ec37a64068a77a45446375d58c2e095067fcfe3a52dfdcb91 SHA1: fbe777e923bf0c7aead51e4fe1a98fcc1fd64e28 MD5sum: 2d1b53c120579bc17373b4157ebc3b24 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~nd18.04+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~nd18.04+1_all.deb Size: 837016 SHA256: 4665cc78d94ec859185deea52cab3b432000a5fde42f23c318068745a573718f SHA1: a4a128c53366d9ccc5d8e6abb2fc5bb94585d262 MD5sum: 296d1c86d7f2f041db4997a5a54f8ea3 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-doc Source: git Version: 1:2.24.0-1~nd18.04+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~nd18.04+1_all.deb Size: 1837036 SHA256: 5109b012e34d0d830097cdb5c89a5138e78a103b8c01e8710f14371af950a0d3 SHA1: 5836a5eaeee7422968c35e60ffffdab7b0a38534 MD5sum: aed397be21e9c57cf58b1794b8233439 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~nd18.04+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~nd18.04+1_all.deb Size: 836636 SHA256: 67500af6ccc025a2a7e742d1e409d9bb3ade19f3f7fdd693a4ff2ab7710f39d4 SHA1: 04b4dcb395c21fec130d7cad4df60e9e6b332b62 MD5sum: 8346f56d59bd740528800a3adad1875d 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~nd18.04+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~nd18.04+1_all.deb Size: 859536 SHA256: 84b6082df63731fa070f0fe312eeb92a23d0f5f6a379580c11006c8d42655f78 SHA1: e8f9f483fc54971ca2bfdeac98ad3ffa3bf33f6a MD5sum: 2b1f4052c48806c9452ed4d92c3eb185 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~nd18.04+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~nd18.04+1_all.deb Size: 1044540 SHA256: d0c50c417f3e79e5cb357945566c87a11069a65820e3aeaaf15ac26088765dfc SHA1: 73cc6720176e695caab07629cdf12ea3f7cc3a8c MD5sum: 55f7686eb0689ac158e9e588d2798938 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~nd18.04+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~nd18.04+1_all.deb Size: 1695028 SHA256: 403cbf8c78b4cdd8129acf55fbf31408dcdc6b611abc7f75753be65aa2c5ed39 SHA1: 59c33a93fd6ed2b72d329958141770732abdf688 MD5sum: 6fdd92c87b7fba290784b53e0aee22d6 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~nd18.04+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~nd18.04+1_all.deb Size: 850228 SHA256: 9d8c06f325043643cb6c3a83d9c815fa62209df31325eab06411848682f0e41d SHA1: 8d182122463b97c281075192bb94ba7a298ae93e MD5sum: 0c0892c0d092c02054c6491d5fa1ecb0 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~nd18.04+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~nd18.04+1_all.deb Size: 909412 SHA256: cb611c2e42461b76847343a52a34c87187d44902abf946f02afb701ef705e0dc SHA1: f7b000d8fbee5043ba32d344a7e11e8382769dea MD5sum: 002246dd62890a503bea8af1c62b8234 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~nd18.04+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~nd18.04+1_all.deb Size: 969432 SHA256: 26ce033b0c596a8bd4fe67d97b482d3597f8230af47cb220bac9457d7b211942 SHA1: 5edad4b7a9b38b1d2296e3327e329e714398737a MD5sum: 0f8eee550ed4bb2165f27f45fa0b984d 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~nd18.04+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~nd18.04+1_all.deb Size: 838524 SHA256: 4056b15dc379689db283304ad25268b29c982d6074c43fabde025cf3e4639a45 SHA1: 764e5651f75ccc2f3b74b43130419af1dc71a178 MD5sum: 3df98aeb643194b42b6502921d3f054e Description: fast, scalable, distributed revision control system (web interface) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package configures a web interface for browsing git repositories. . If apache2 is installed, the web interface is automatically made available at http://localhost/gitweb. Other servers that support CGI or mod_perl are supported through manual configuration. . If libcgi-fast-perl is installed, gitweb can also be run over FastCGI (and served by nginx, for example). Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: heudiconv Version: 0.6.0-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 937 Depends: neurodebian-popularity-contest, dcm2niix, python, python-dcmstack, python-dicom, python-filelock, python-nibabel, python-pathlib, python-numpy, python-nipype Recommends: python-pytest, python-datalad Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.6.0-1~nd18.04+1_all.deb Size: 253696 SHA256: 05aacdec1cc6e716745ab9ca4e235b619933db45df3984cbeb710af7736ad8ef SHA1: 5a8f6847c41fd3e76fcc5030385a6d5198be2787 MD5sum: 84040ac193184e3370a7c6ca745cef32 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: isympy-common Source: sympy Version: 1.3-1~nd18.04+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~nd18.04+1_all.deb Size: 186592 SHA256: 719a7be51dd8e09fa1d6d8379c4ff2c21a108a8791b6cac65700deffd6a96305 SHA1: 1a8166281cd3b191d504cfa2bd85d602d9ec367f MD5sum: c9508f8e42e0f783349cc72ff881fa74 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~nd18.04+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~nd18.04+1_all.deb Size: 8360 SHA256: 337898618c71b253c7b95823f24cef38cd52fe8fd548338feb3d3df1f4e89e52 SHA1: eefa40a08b3395b8024c166d0212a77aaf81fd05 MD5sum: 8051e8a830b3444169117dca592d09be Description: Python3 shell for SymPy SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains a Python3 shell (IPython shell if you have the ipython3 package installed) wrapper for SymPy. Package: jasp Version: 0.8.1.0~dfsg.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 40028 Depends: neurodebian-popularity-contest, libarchive13 (>= 3.0.4), libboost-filesystem1.65.1, libboost-system1.65.1, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5webkit5 (>= 5.6.0~rc), libqt5widgets5 (>= 5.6.0~beta), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 5.2), libjs-marked, r-base-core, r-cran-afex, r-cran-bayesfactor, r-cran-car, r-cran-effects, r-cran-hypergeo, r-cran-lme4, r-cran-logspline, r-cran-rjson Recommends: r-cran-ggplot2, r-cran-lsmeans, r-cran-plotrix, r-cran-rcpp, r-cran-rinside, r-cran-vcd, r-cran-vcdextra Homepage: https://jasp-stats.org Priority: optional Section: science Filename: pool/main/j/jasp/jasp_0.8.1.0~dfsg.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_amd64.deb Size: 33426752 SHA256: 948e191786802297ca430c7f72d0f8150e2fba9ca7dffd90e6e9b270eb7b9e8e SHA1: 2a3ba57ba436f88ed04a59e95d680fc5ae6cbf99 MD5sum: 9d0ccca3e4b407454f77378b87417610 Description: Bayesian statistics made accessible This is a statistics package with a graphical user interface. Its authors consider it "a low fat alternative to SPSS, a delicious alternative to R. Bayesian statistics made accessible." Package: libcnrun2 Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 288 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgsl23, libgslcblas0, libstdc++6 (>= 5.2), libxml2 (>= 2.7.4) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/libcnrun2_2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_amd64.deb Size: 82116 SHA256: 74b5d56986c7ff354b99d0cdde6d7acd3c0fafcedf5b1df02c48f2b71b88bb8a SHA1: ed07d68f3eba16657593a56ed9e5bd0a2470493c MD5sum: fce881d4cf0580a6d600c091e025c6c1 Description: NeuroML-capable neuronal network simulator (shared lib) CNrun is a neuronal network simulator implemented as a Lua package. This package contains shared libraries. . See lua-cnrun description for extended description. Package: libcnrun2-dev Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, libcnrun2 (= 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1) Suggests: pkg-config Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: libdevel Filename: pool/main/c/cnrun/libcnrun2-dev_2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_amd64.deb Size: 21632 SHA256: b7f1028419829a31662e4f8173de06748a79619b919caefa849846718c4fa0b1 SHA1: beab70664a78c819698525d34d08dab2798e01e4 MD5sum: 90c482833ae8f0fada708d46674eb108 Description: NeuroML-capable neuronal network simulator (development files) CNrun is a neuronal network simulator implemented as a Lua package. This package contains development files. . See lua-licnrun description for extended description. Package: libedac-dev Source: edac-utils Version: 0.18+git16-g8fdc1d4-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 43 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git16-g8fdc1d4-1~nd18.04+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~nd18.04+1_amd64.deb Size: 15124 SHA256: 408e809f2ca6141ff9f3803dec2676b75ecefde8f2971289f7fe72f57ccb85d4 SHA1: 049a5f9482faffb4e71b49bbe0f3fb946219e9f0 MD5sum: fae0c6cd929995df5b29c7c3b6a5e35a 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libsysfs2 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~nd18.04+1_amd64.deb Size: 10960 SHA256: b0f7194f5d4de38366466db71c4f197ca7fbeb48e10f278af2a1d9185629384b SHA1: 82d9724a2808aeb3db7aaddf324d029b8126afb5 MD5sum: b1077f11be2a24560a758f1fd7511206 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git16-g8fdc1d4-1~nd18.04+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~nd18.04+1_amd64.deb Size: 32552 SHA256: bf1f7128ede5c8f549be110478ba2f37cc826cdcac71079cbc3b320c86ca4af2 SHA1: b87bce45ef616826c51695de37b21ee5f54c4214 MD5sum: 1f9f66ba68fd431f03aa1195995fac47 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: 3edab5f47815f99018875705dd41ec22e38a0bca a341e589eee319e2e1e88576c26b7a23ef794016 Package: libexempi-dev Source: exempi Version: 2.4.1-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4056 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd18.04+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~nd18.04+1_amd64.deb Size: 647708 SHA256: c62ac61fba4599965c55e7a13516170bc859872b9fa1e4a57d9b84ab3b2cf2a7 SHA1: 9fc4bfa1a234cc6c734b6a5bd8ebc45f387cb0e5 MD5sum: 3d404549ab9de9caad390c28fcbda7b2 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1636 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libexpat1 (>= 2.0.1), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Multi-Arch: same Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: libs Filename: pool/main/e/exempi/libexempi3_2.4.1-1~nd18.04+1_amd64.deb Size: 533604 SHA256: 86d7f90e1b89874fdc9cab0f557496cd94d2eace9af2b09dedbb81154d99e157 SHA1: 4e947bff047d5cb6329e51750484fdffc08d24bd MD5sum: 38a3ab1e0b4be08ca673ec076718ca01 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: libfreenect-bin Source: libfreenect Version: 1:0.5.3-3~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 261 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~nd18.04+1_amd64.deb Size: 56488 SHA256: 0356cc34b3ca6c15570ba9c0e5145323f41b4ba2b0a30703b6d8c61e43438acb SHA1: 6b2ea4fd116849fc0c3ac539504e1143c50c09b5 MD5sum: b981e4dd24e45492596104690dbd895b 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~nd18.04+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 344 Depends: libfreenect-bin (= 1:0.5.3-3~nd18.04+1) Priority: optional Section: debug Filename: pool/main/libf/libfreenect/libfreenect-bin-dbgsym_0.5.3-3~nd18.04+1_amd64.deb Size: 222516 SHA256: bd073d2b0b3b9424c03b5f45f744579193acaef2ee10cc3b09087fdc384b2f7c SHA1: 530a96df7d7507a15917d87c69fcf529aa836e21 MD5sum: 127dc95f96c34cb6b5c007bb114dd8e8 Description: debug symbols for libfreenect-bin Build-Ids: 061e32e13aad7546bb3e84b60d75c2bcb7ba1c3c 30fd64eb75365f502cf04ca15958f4975f8db21b 4bc1a3a258bf7ea52d88e5034165f336b8dcf38c 571ef250afae6922305668368d7b4d2c99f1e068 7222437c2b748890750c673d96120f805ffc9ff5 7cd9ca6ab73b72a94ccb454f713b43d16fac4d82 8b71182485eaa7517f3cb3a3f61b561ab9164e24 8f9b374e19e585c9ce28a4e069047c1d6a722fb7 bb65a2032b0cdb704eccde52858f9f8bf3622ccc ebfbd4c9cdaec7d0fd04230a12a20b9aa5cd2857 f2271e8bac9cc93214d2e1b4b202707f4dca4c13 f26239445833eadb069e6b72e690ce66a96b0320 f47a532cbfa9197e56d9c02a2bfcf79b5c37a845 Package: libfreenect-demos Source: libfreenect Version: 1:0.5.3-3~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, libfreenect-bin Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-demos_0.5.3-3~nd18.04+1_amd64.deb Size: 9052 SHA256: e2c704756937c1bb3b961a8f84ba41bf1219051abd8e473e21eedd14acbea971 SHA1: 5c37405fe777334d0258fa9293d9bd3fb4947900 MD5sum: c55b7c5007ce262922ade774ce968c0e 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 79 Depends: neurodebian-popularity-contest, libfreenect0.5 (= 1:0.5.3-3~nd18.04+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~nd18.04+1_amd64.deb Size: 19812 SHA256: 8290c3de398b810740ac7f88a5d1596e6f8788d397345518c30ed83f1a20c2d3 SHA1: d9c15d02145bbeb7d1956f940862c68ccc3ab992 MD5sum: fcc8ccbf1398270f795c89537b9ac15f 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~nd18.04+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~nd18.04+1_all.deb Size: 142296 SHA256: 57ea1e3f313b4ced16cf0f51fea000426539f42d1777b61718a2e44849a7a8e5 SHA1: d0e461b50fd2d2c0ae376caf0090694806fd0732 MD5sum: 813fe7eb8dcd3f4363404abca79a7807 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 131 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libusb-1.0-0 (>= 2:1.0.12) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.5_0.5.3-3~nd18.04+1_amd64.deb Size: 42828 SHA256: 59989d9781c63b6db01e1c72e38d1e37444a7fc3217b510273947c9174d8f2f6 SHA1: 4e4d9fbc8f63fed4cb9f56cda8fb9e084e87e08f MD5sum: 7a50896341f6b2a999334f5780cf94d4 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~nd18.04+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 122 Depends: libfreenect0.5 (= 1:0.5.3-3~nd18.04+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/libf/libfreenect/libfreenect0.5-dbgsym_0.5.3-3~nd18.04+1_amd64.deb Size: 87068 SHA256: a8160bf7d05a56d70140041d2abbf6e5ab2928763b001c7af67a86883bc98e39 SHA1: 8b226f7e1d75954185bdb3588f160470e05ef298 MD5sum: 55bc8d1a5cafe1fa2498eedc67b73d40 Description: debug symbols for libfreenect0.5 Build-Ids: 12e3f6ff60f77fb4b6f6cd8aafbc3d23831b3f9e 7608b28302c26ed6ff07fd5127aa3754a3f7c1b4 c40ec4c57cb783633400cf4daf663ba55296dd6e Package: libglm-dev Source: glm Version: 0.9.9.6-1+nd1~nd18.04+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~nd18.04+1_all.deb Size: 175948 SHA256: 6197be3c08bf39d36b863bc817b8021dd6505896d6b6324f1bed80a13fc9eadd SHA1: 3246c0f92155326bf241685d00b5ea1e43ae3f8d MD5sum: bd2d0c53931294cfeaa6a9256a6608ef 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~nd18.04+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~nd18.04+1_all.deb Size: 499168 SHA256: 29b6095c4f1c5be057699ef888a01ce60c35c4e072b07ac33d111a95b3376606 SHA1: cc6e0bc87ab085a21f097e1f80776ca13a3df438 MD5sum: 25160b2fc1a6fc0697ef312ed4085f35 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 337 Depends: neurodebian-popularity-contest, libopenxr-loader1 (= 1.0.20~dfsg1-1~nd18.04+1) Suggests: openxr-layer-corevalidation (= 1.0.20~dfsg1-1~nd18.04+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~nd18.04+1_amd64.deb Size: 47880 SHA256: 4b873f61463ee946bb12b4e2742ac49b1b7f346bbd2672ba46b14b495a927696 SHA1: 23e916c2455b9905f750149c3f44e9803c9896aa MD5sum: bf9fc5edcecaf352ec38782d222c9f4f 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 507 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), libgcc1 (>= 1:3.0), 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~nd18.04+1_amd64.deb Size: 184516 SHA256: 098defb613caf3cce441eea09ff4cb1a60a8a3b3f3e99a9516ea2dbba0759f64 SHA1: 6147c75e7bd099a33f0c364fa0e45833399b9258 MD5sum: 3c457ca7ffa833ae9905c711b31cd136 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~nd18.04+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1406 Depends: libopenxr-loader1 (= 1.0.20~dfsg1-1~nd18.04+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/o/openxr-sdk-source/libopenxr-loader1-dbgsym_1.0.20~dfsg1-1~nd18.04+1_amd64.deb Size: 1345356 SHA256: 681b717b1d122aa9ee334b3e462987500b34a7c879e3f00d39d22b88b88d260e SHA1: 18f4d8c8292bc37df767f28a0ae1b738a70eef4b MD5sum: 5ad5b4d5b61bcd8668e56bf24536ad0c Description: debug symbols for libopenxr-loader1 Build-Ids: 539ec60b2235d1cf05ba74821d584311b1d5541f Package: libopenxr-utils Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 333 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), 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~nd18.04+1_amd64.deb Size: 123140 SHA256: 9c18813c1e37429b4504d9315f763955ead1fccdfe43d82e49b34c9355bc2145 SHA1: 753379440f2fefd4e2334784c33f56f084ed0dea MD5sum: aae736b6511d0bbffc71e62c4903f6c1 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~nd18.04+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 827 Depends: libopenxr-utils (= 1.0.20~dfsg1-1~nd18.04+1) Priority: optional Section: debug Filename: pool/main/o/openxr-sdk-source/libopenxr-utils-dbgsym_1.0.20~dfsg1-1~nd18.04+1_amd64.deb Size: 778256 SHA256: 28c72ae0fd7739c6f0ffe89ead23cbae54966028c0776a360835d5b16b79faa2 SHA1: 55b2357cd2c84c49ebf964b62abbcebde0f84ef4 MD5sum: 88ccdbccbe4ee1680b614277a70d0bbe Description: debug symbols for libopenxr-utils Build-Ids: 08800f15a5d4bcb370e88499522908ddab393d2b fab945415552215675263f183240d5b516accbe6 Package: libqt5pas-dev Source: libqtpas Version: 2.6~beta-6~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1371 Depends: neurodebian-popularity-contest, libqt5pas1 (= 2.6~beta-6~nd18.04+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~nd18.04+1_amd64.deb Size: 142356 SHA256: 2cf8ad762666ca96133eb6e1cf028049cac4b50514b23a9c31df13ad0ff0d8db SHA1: efdbcb47efd71415c8949d931189225bfebf970e MD5sum: d16b1cf122a39a3edd5967c148472b94 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2902 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.9.0~beta), 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~nd18.04+1_amd64.deb Size: 471444 SHA256: 5aebac509281d85f71029d0be09305c748f90d4c2d213b475b6df49fb6bcc5c7 SHA1: eb28e398c5e24bde0b5e828d82867e548c9014a3 MD5sum: 608e59e43a16536d50e4a0a0698e697f 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: libvw-dev Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 16015 Depends: neurodebian-popularity-contest, libvw0 (= 8.6.1.dfsg1-1~nd18.04+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: libdevel Filename: pool/main/v/vowpal-wabbit/libvw-dev_8.6.1.dfsg1-1~nd18.04+1_amd64.deb Size: 1472624 SHA256: 9b785597bd57dc2d6449919553a7dced0faf56b566621422c7d9136e5bc9f084 SHA1: 60e6d4e277d1e5d80608f792fd3ca5d8ce4c065c MD5sum: cc30f34247a5849d9615ac21cc512433 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2990 Depends: neurodebian-popularity-contest, libboost-program-options1.65.1, 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~nd18.04+1_amd64.deb Size: 809936 SHA256: 0dc64c3b6a34aa32f10e5a5ea30b8a1920e20f85c7d1d57e052b1d946b283d8f SHA1: a26c8fe6d48d5d54c861870add582e939b68abdb MD5sum: 40b0e8927ac335628552f4c4a7fbb014 Description: fast and scalable online machine learning algorithm - dynamic library Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains vowpal-wabbit's dynamic libraries. Package: lua-cnrun Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 118 Depends: neurodebian-popularity-contest, libcnrun2, lua5.1 | lua5.2 Suggests: gnuplot Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/lua-cnrun_2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_amd64.deb Size: 38444 SHA256: 597fe96214e7dbe782c3d08cd20ac92bba61549d5cc374a13979980e2291f605 SHA1: 5b129c9e5e47c3e825f051af1a98b4951f7e0e1b MD5sum: db1b6ed0f8ee32dbb3d93c201720977c Description: NeuroML-capable neuronal network simulator (Lua package) CNrun is a neuronal network simulator, with these features: * a conductance- and rate-based Hodgkin-Huxley neurons, a Rall and Alpha-Beta synapses; * a 6-5 Runge-Kutta integration method: slow but precise, adjustable; * Poisson, Van der Pol, Colpitts oscillators and interface for external stimulation sources; * NeuroML network topology import/export; * logging state variables, spikes; * implemented as a Lua module, for scripting model behaviour (e.g., to enable plastic processes regulated by model state); * interaction (topology push/pull, async connections) with other cnrun models running elsewhere on a network, with interactions (planned). . Note that there is no `cnrun' executable, which existed in cnrun-1.*. Instead, you write a script for your simulation in Lua, and execute it as detailed in /usr/share/lua-cnrun/examples/example1.lua. Package: mridefacer Version: 0.2-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 647 Depends: neurodebian-popularity-contest, num-utils, fsl-5.0-core | fsl-core Homepage: https://github.com/hanke/mridefacer Priority: optional Section: science Filename: pool/main/m/mridefacer/mridefacer_0.2-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb Size: 637452 SHA256: ab5a15de7c3ef796d813c5a2e14ae14dd36f338884bca80570f1ff4d6b5c3c8e SHA1: 760e57847e5005fd0a11a1a8d18ce42db9e541c9 MD5sum: f361b00ca73a41c0e14b72d59069bc29 Description: de-identification of MRI data This tool creates a de-face mask for volumetric images by aligning a template mask to the input. Such a mask can be used to remove image data from the vicinity of the facial surface, the auricles, and teeth in order to prevent a possible identification of a person based on these features. mrideface can process individual or series of images. In the latter case, the computed transformation between template image and input image will be updated incrementally for the next image in the series. This feature is most suitable for processing images that have been recorded in temporal succession. Package: mrtrix Version: 0.2.13-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9680 Depends: neurodebian-popularity-contest, libatkmm-1.6-1v5 (>= 2.24.0), libc6 (>= 2.27), libgcc1 (>= 1:3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1v5 (>= 2.54.0), libglu1-mesa | libglu1, libgsl23, libgslcblas0, libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1v5 (>= 1:2.24.0), libsigc++-2.0-0v5 (>= 2.2.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Suggests: mrtrix-doc, octave, matlab-support Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: science Filename: pool/main/m/mrtrix/mrtrix_0.2.13-1~nd18.04+1_amd64.deb Size: 1342744 SHA256: 9f9cde2eb6d38306a6a0f644af4842b108c076f05f8fe65a698a8d258e943470 SHA1: 13e5930589198b5c550710479cd39aca321ee626 MD5sum: cab9ebbe7f64a5ca75199e74fa34720f Description: diffusion-weighted MRI white matter tractography Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. Package: mrtrix-doc Source: mrtrix Version: 0.2.13-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3402 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.13-1~nd18.04+1_all.deb Size: 3180296 SHA256: b2b6e876e67bca20fb3d740d11841133b4a69ca24b821e73c40f81ea49043e50 SHA1: 6ebe3e5bbf8744e68868dc1dc23730d5fe6b1c47 MD5sum: ad4964b7183f6cf4d846400340a15319 Description: documentation for mrtrix Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: mrtrix3 Version: 3.0.3-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 52494 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.0), libgl1, libgomp1 (>= 4.9), libpng16-16 (>= 1.6.2-1), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 5.4.0), libqt5network5 (>= 5.0.2), libqt5widgets5 (>= 5.5.0), libstdc++6 (>= 7), libtiff5 (>= 4.0.3), zlib1g (>= 1:1.1.4), python3 Recommends: python3-numpy Suggests: mrtrix3-doc, octave, matlab-support Conflicts: mrtrix Homepage: https://www.mrtrix.org Priority: optional Section: science Filename: pool/main/m/mrtrix3/mrtrix3_3.0.3-1~nd18.04+1_amd64.deb Size: 8899444 SHA256: 6967e1b56fe70872b164f4174edb04a1fd9c898246dbdcee016d82df72c9387c SHA1: b3b7bf80b31c8643ce4795b7441692be4d4ac57f MD5sum: c9dc842acf87c02191dc248a8c54a571 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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f83b944ecb8a3a4cf337005b0e4f674dd8bc71ff f88f42a3b5f5b18264ba6e2ae87a761fb965d217 f8d5262f42eb21d8481f0a77ffe9839a9edc44f7 fae7c1c8ac703b49155f7cf61b9ad6a2c1c83d32 fb45909bcf57e15e88fe2553c933045e74cfed18 fcc47303252f30462a32d8ef975e4fe8fe9a8c5c fffee84d8bbdcc394a98975098f7913ea2a8cfae Package: mrtrix3-doc Source: mrtrix3 Version: 3.0.3-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 87 Depends: neurodebian-popularity-contest Conflicts: mrtrix-doc Homepage: https://www.mrtrix.org Priority: optional Section: doc Filename: pool/main/m/mrtrix3/mrtrix3-doc_3.0.3-1~nd18.04+1_all.deb Size: 48728 SHA256: 3efd9383740b309f03f0a88e7ce689149565f661df56fa6438cda4247c718b68 SHA1: 5c8dbabab4c01300978b4bccf207f8eddcb32e9a MD5sum: 1e8cdbd3154e360863414f244f912d87 Description: documentation for mrtrix3 Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: ncdu Version: 1.14.1-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 95 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libncursesw5 (>= 6), libtinfo5 (>= 6) Homepage: http://dev.yorhel.nl/ncdu/ Priority: optional Section: admin Filename: pool/main/n/ncdu/ncdu_1.14.1-1~nd18.04+1_amd64.deb Size: 43272 SHA256: 6dce1b735a5694e730dece2a781fb7d21659164610ef4f6738c5d5edcf477ea5 SHA1: 68d09956a9945519998fe0617f97374383f3af40 MD5sum: d5e2fc68e519b909c0c0aa24529ba544 Description: ncurses disk usage viewer Ncdu is a ncurses-based du viewer. It provides a fast and easy-to-use interface through famous du utility. It allows one to browse through the directories and show percentages of disk usage with ncurses library. Package: neurodebian Version: 0.42.2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: python3, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.42.2~nd18.04+1_all.deb Size: 37236 SHA256: 3e4d08b8c14e96d257b7569c65c53d4d768519da3819b14fbc03bbabf8c039c5 SHA1: 4b9644db7758a9baeaae6abe9975863ea9230c4a MD5sum: 699bb81c8acfa096477cd9bb0be6343f Description: neuroscience-oriented distribution - repository configuration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.42.2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26 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~nd18.04+1_all.deb Size: 12828 SHA256: c780d217a29ea9893a13df79e8d77e4ace496c291a2e4252baf007f75aac17a2 SHA1: a08e523bfe152d23e8278469b3ac59369a018798 MD5sum: cfd6ed63632a991fd4fe9a8e747997d1 Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-desktop Source: neurodebian Version: 0.42.2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 200 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Recommends: reportbug-ng Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.42.2~nd18.04+1_all.deb Size: 123184 SHA256: da2e3e249d355d47410397df84296dc522e478f973e860b0b589a946d26acb3c SHA1: 6d1958408a98a27879c4d0c4be66bbb35478561a MD5sum: 22f9e6728dfa3f245d08caf3ddd2489a Description: neuroscience-oriented distribution - desktop integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.42.2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 115 Depends: devscripts, neurodebian-archive-keyring Recommends: ubuntu-keyring, 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~nd18.04+1_all.deb Size: 36632 SHA256: aa868fdca7d02a6339725867602b4587fc8f07ddc0af4c38af70394961eb6b7f SHA1: 7c17a21d84cf9e9910cf7acee78e78b1d8dd3671 MD5sum: 592507e5ac2e8ad30b4f75b72236ee77 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.42.2~nd18.04+1_all.deb Size: 17408 SHA256: 920db256bc3faa2e9483c848c96b0b9c78ce319e9757fa6ba4742cfd762b7d91 SHA1: 265b7e3badf7018c2b8eaede34b9232e2f4a97de MD5sum: d9d740042b5d39d8a61b9d4b42570b25 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 30 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.42.2~nd18.04+1_all.deb Size: 15008 SHA256: 2e187cf787c117753168ff4e26e3f1f5ab008e7946436ddb652cead6d05d9896 SHA1: c751bb81ee6f6ec1e4c4e94298bc276466b77c6e MD5sum: 017e455cd8a160deff81e4471d00658c 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23509 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 (>= 3.3.2-2~), python:any (<< 2.8), python:any (>= 2.7.5-5~) 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~nd18.04+1_all.deb Size: 2187024 SHA256: 805f56c39cf761cb8b18cdc1e783fe623989d34e4c14774af1216991ee9d2841 SHA1: 5be30384059e30068518e8e5610652deadb95f75 MD5sum: 5482de2b61d4b28b81bdeb7e4c1a2126 Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5385 Depends: neurodebian-popularity-contest, octave (>= 4.2.2), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.14), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgomp1 (>= 4.9), libgstreamer-plugins-base1.0-0 (>= 1.6.0), libgstreamer1.0-0 (>= 1.4.0), liboctave4, 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), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.17.6.dfsg1-1~nd18.04+1), psychtoolbox-3-lib (= 3.0.17.6.dfsg1-1~nd18.04+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~nd18.04+1_amd64.deb Size: 1055360 SHA256: 3f90a83741ee5a3ddcbe5f2233fde4c0081f90036b3ad506517428fd23c168c6 SHA1: 5c389e29f97248eb6b264dce4dfd554a0ecbfb2d MD5sum: c64fda9aecb050795584bb2fcca4dbec 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~nd18.04+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~nd18.04+1_all.deb Size: 100592 SHA256: baaa3cbf691fc726b120395b20d9b14423d577fd9957f28c65b7b6a0d83a3a3d SHA1: 36ae66be1488b75752a8c3d3961d8381e112e513 MD5sum: cc3147dcc4584403c25f31c76dc92152 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1339 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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~nd18.04+1_amd64.deb Size: 274668 SHA256: 48dba4933eb0a3bcb39ecd7a2a8e67aafa1b3a7d05c0adf2656fb4f42d63b012 SHA1: b3be35a46f4fb181ff7a70c92c41d78c975c1f86 MD5sum: d8857cddd32c2899a80322707bf5027f 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~nd18.04+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3303 Depends: openxr-layer-apidump (= 1.0.20~dfsg1-1~nd18.04+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/o/openxr-sdk-source/openxr-layer-apidump-dbgsym_1.0.20~dfsg1-1~nd18.04+1_amd64.deb Size: 3027796 SHA256: 4a1f636cd4abbb62a4bc7625b4c0e5e1d5b49ca17e9d95ba82fb59aa124cd267 SHA1: 35e159b3bb1f087baedd5dfc22154b19bf851342 MD5sum: 6e257eb8240fead529d9b716b9d60099 Description: debug symbols for openxr-layer-apidump Build-Ids: 8cecf12c3972d5b09cf1501c3e51aa7731a27304 Package: openxr-layer-corevalidation Source: openxr-sdk-source Version: 1.0.20~dfsg1-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1387 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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~nd18.04+1_amd64.deb Size: 281100 SHA256: 0518645d354c503945500c6b888e6a2fe7320838bcf9b4777f1fc9004fd085ea SHA1: 010a0a5e8299c95ae2bc326f89f62534727a2e50 MD5sum: b4ecb5598dfcc45158bfb7b3b795e101 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~nd18.04+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2949 Depends: openxr-layer-corevalidation (= 1.0.20~dfsg1-1~nd18.04+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/o/openxr-sdk-source/openxr-layer-corevalidation-dbgsym_1.0.20~dfsg1-1~nd18.04+1_amd64.deb Size: 2697300 SHA256: 8390267e6a563b06257108aabec4da3d92d136298f585a6622bcca3cf2b9fc48 SHA1: 12e431b40e61820c3d0bdd2f51e6c0df1331d48b MD5sum: 2db835eb3dacf01180bfb67e4afdbaf1 Description: debug symbols for openxr-layer-corevalidation Build-Ids: e8d675f32410f3ed8f74600493ea7c0417f83d5b Package: patool Version: 1.12-3+nd1~nd18.04+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~nd18.04+1_all.deb Size: 37380 SHA256: cc05f4a0f45196a8cf73a3a2513d0c911d6a9021507f4243b998f8994e50bd2a SHA1: dd80f06ba3c5bc30bdff8834499830b99365be62 MD5sum: fdb26ed711739a63fa8fe8a8710386d3 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: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd18.04+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~nd18.04+1_all.deb Size: 32582224 SHA256: 72eb1e3194eeb701f5ea8f65e74919b3e4cc586b77339a1ee426f00af599a4ac SHA1: 80fff145b1b25f270555b45342575ae6f617bb01 MD5sum: 9e420ef7246ff014b0ea58124dfe81cc 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 242 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.17.6.dfsg1-1~nd18.04+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.17.6.dfsg1-1~nd18.04+1_amd64.deb Size: 164468 SHA256: 91cabe1f526e30273e6d8ce11bc18e0dd73f96a6b2eb0b57fe4e1d93a773c0b7 SHA1: 41380e5c5940bf1a3072bd6abdbaee3d91272895 MD5sum: 17f45821816168120976702bb1419f34 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: 3c7226c74d735512682cc6efa5e47d1da1659d55 d9007f35b89a0e234fdf99a423a167d1148d325c Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.17.6.dfsg1-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 196 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.12), 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~nd18.04+1_amd64.deb Size: 76112 SHA256: 21a33dc35d96b5d72a24da8d28c7eb9d785ab22229f7498e3f2c54b2902ab72e SHA1: df5cd3a420dbc323e138ef6f7393ffc5bee5992e MD5sum: 2b0aec7b0384dfa8a1ccac3d7abfa48c 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 610 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~nd18.04+1_all.deb Size: 120416 SHA256: 810b290223de0eb95f53aba1db7185b86f6db000dd201a5b67d5be30661c0c87 SHA1: 4a1d1f818b2be3d94ca58ebcef5cea1b2abe26a9 MD5sum: 3e73481f8a1476bc73106a27e65c0f63 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: python-babel Version: 2.6.0+dfsg.1-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 421 Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd18.04+1), python-pkg-resources, python-tz, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python-babel_2.6.0+dfsg.1-1~nd18.04+1_all.deb Size: 97532 SHA256: 9d1d1a5d769638ed60dca461c94fead8b2d1acf911e8076aa00f3420a2d169ee SHA1: 090e8cae109b2a58c8f016a3553429f07912b526 MD5sum: 8a05e2dd79821c04e5e9eb3d6f73823c 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 924 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~nd18.04+1_all.deb Size: 185728 SHA256: 4a459cc7e71f0bd54351f79a5e8ab64aacf016caedd79cd3bb8f1e8b7d1c94f6 SHA1: a7e9f00afd5bc202eb304a7232bc7c6fd6eeb14d MD5sum: af2a632831e5cd8b6794bdbefec035ab 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~nd18.04+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~nd18.04+1_all.deb Size: 4080804 SHA256: 8870248a29e118eced263e7d75e63fdf9bf87bb4586b6f37858df75678b4e249 SHA1: 7a7e5ab4c1ff49a1ac03fe8445a74f5c67150f7c MD5sum: de874654a8d336a890c8f864cb14a526 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~nd18.04+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~nd18.04+1_all.deb Size: 739632 SHA256: 272bc22c063cc377b62b625271ec01c3a22a2d7030aa72be97b671c712c9620b SHA1: ae16c73682753c33148f744572fedf76f37fb8a1 MD5sum: 6259cefd0a2d8211dbfb5ec62ced59bd 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-bz2file Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python-bz2file_0.98-1~nd18.04+1_all.deb Size: 7920 SHA256: 8e05001a4c74dbb7b571230f657bf635b3ee63cdb99ba33a64600200bd7d4f4e SHA1: 2abb16321b37adfd36fb1c476543a26ef0aadc56 MD5sum: 1a1f71c61c7db903d9ba852fa6f3adc6 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-dask-doc Source: dask Version: 0.17.5-2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6964 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common, libjs-mathjax, libjs-bootstrap Built-Using: sphinx (= 1.6.7-1ubuntu1) Homepage: https://github.com/dask/dask Priority: optional Section: doc Filename: pool/main/d/dask/python-dask-doc_0.17.5-2~nd18.04+1_all.deb Size: 1768204 SHA256: e9532fdaf3677c39999cdc52e20cd5162442ecd8fa0ee5a00659a9abba997b14 SHA1: 1bcb678ef8953ce16ba0e2092a54aac913031d7f MD5sum: 7cc7adcc20210f486d54de0529e66e54 Description: Minimal task scheduling abstraction documentation Dask is a flexible parallel computing library for analytics, containing two components. . 1. Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. 2. "Big Data" collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers. . This contains the documentation Package: python-dcmstack Source: dcmstack Version: 0.7-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 500 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python-dcmstack_0.7-1~nd18.04+1_all.deb Size: 76032 SHA256: 76bd0483822282450e4bd05149b482eec0ec879ac67c7b7e32e25d286fee6e8f SHA1: b1321189a9ffae61015e706e35d6bf08c271acf5 MD5sum: 489f81c48497d714dc618152f9b3efcb Description: DICOM to NIfTI conversion DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python package, and command line tools (dcmstack, and nitool), as well as the documentation in HTML format. Package: python-dicom Source: pydicom Version: 1.2.1-1~nd18.04+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~nd18.04+1_all.deb Size: 4904 SHA256: 4b2d3fca8623d2bd20dc4d5035c27b483a0958cef6c569f43233c76b4d430f63 SHA1: c7887a909c187af788f8bed2424243ed7186eada MD5sum: 105a20129bb4526db82a347f73a324fe Description: transitional package for python-pydicom This is a transitional package. It can safely be removed. Package: python-dipy Source: dipy Version: 0.14.0-1~nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8631 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.14.0-1~nd17.10+1+nd18.04+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel (>= 2.1.0) Suggests: ipython Provides: python2.7-dipy Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.14.0-1~nd17.10+1+nd18.04+1_all.deb Size: 3047844 SHA256: cd1f3c6f9c9b00d9d94af6b03f2852e625f4b8d532f386c336543ee708bf3f68 SHA1: 2138cdeb7977c44d51898122fc3d77fdea96fece MD5sum: 647d06f0f4453feaac6b40a1fc9b74af Description: Python library for the analysis of diffusion MRI datasets DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging. . Here are some of the highlights: - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE and MAPMRI - Fiber tracking algorithms: deterministic and probabilistic - Native linear and nonlinear registration of images - Fast operations on streamlines (selection, resampling, registration) - Tractography segmentation and clustering - Many image operations, e.g., reslicing or denoising with NLMEANS - Estimation of distances/correspondences between streamlines and connectivity matrices - Interactive visualization of streamlines in the space of images Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.14.0-1~nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16545 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://dipy.org Priority: extra Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.14.0-1~nd17.10+1+nd18.04+1_all.deb Size: 12639612 SHA256: 0e598975843e08be440aa6953968e8215f93af0981b4875b444f886b8b9d5b1f SHA1: 8f130334485208428cb21c21036806274dd1d440 MD5sum: 7f8814cbb2032c5d97749fb0493a2776 Description: Python library for the analysis of diffusion MRI datasets -- documentation DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-dipy-lib Source: dipy Version: 0.14.0-1~nd17.10+1+nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11786 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.13.1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.14), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.14.0-1~nd17.10+1+nd18.04+1_amd64.deb Size: 2125140 SHA256: c8d4e577e4389b65c9f39d9412fa90db8287e3188a4ea69a264c7530c002a789 SHA1: c806642ada09458df00c01c2a53eb5269fc6dfd2 MD5sum: 8bf2db0884ffe8a7d2be2fb88834a642 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-duecredit Source: duecredit Version: 0.7.0-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 246 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.7.0-1~nd18.04+1_all.deb Size: 53340 SHA256: dd74e7dc3783e4bca76abb759d938ca0ad5fa8f65dd99619c1e9497b20c1a420 SHA1: 561889fae7f4608dbb56fb407b0798a697a229f7 MD5sum: 4a30d49780d2cdad0c0f8b32c85afe92 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 130 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-exif Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python-exif_2.1.2-1~nd18.04+1_all.deb Size: 27760 SHA256: f1744c010e29ac3c18594b06bee3aec8c7dae940ee7462816a886a2a433aa971 SHA1: a318f8898fc2489647c1dd4804f5b6d5df33a857 MD5sum: 227cf7e2094e182c0418f1cf4beef0be 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-filelock Version: 3.0.12-1+nd1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python-filelock_3.0.12-1+nd1~nd18.04+1_all.deb Size: 8216 SHA256: 5a2c945d92692f9d081c3f9ca84bb16f3b3be5c94a44def6f0f4da8ff385785e SHA1: 38e19458ef9863ea36fc18be795650345ad06b04 MD5sum: 6a3bd32c897bd9926f45075977d546d8 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~nd17.10+1+nd18.04+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~nd17.10+1+nd18.04+1_all.deb Size: 84332 SHA256: 2afcd0dd580fe5131119664966196b3133b76a837413462b5b642e6ebae00830 SHA1: 30bed1680e6c061ecdb3f98dac5c429de105ee46 MD5sum: f5549bd48ab8dfd821766e80425c88bc Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-fsleyes-props Source: fsleyes-props Version: 1.2.1-3~nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-props (<= 1.0~) Replaces: python-props Provides: python-props, python2.7-fsleyes-props Priority: optional Section: python Filename: pool/main/f/fsleyes-props/python-fsleyes-props_1.2.1-3~nd17.10+1+nd18.04+1_all.deb Size: 75444 SHA256: 5efe94d355bf5fe20c4cc664e6bca8d5b4cbba4afb9fc4b651a958413bdfe3eb SHA1: 9cafb04e34afaa8ccaaaa5acea5b703b010eb21f MD5sum: 263ef61bed98a7aa5b5907359ea5a166 Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-fsleyes-widgets Source: fsleyes-widgets Version: 0.2.0-2~nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 374 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~nd17.10+1+nd18.04+1_all.deb Size: 68972 SHA256: 954027d626199276d859fa932271ecdd6caeb001955eb0acef186e603d498d5a SHA1: fbe3723d7e15e2a81cbaec8d931475c21dbf621d MD5sum: b5570aecdb7d967443e30dcc4aa0145c Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-git-doc Source: python-git Version: 3.0.5-1~nd1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1009 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Breaks: python-git Replaces: python-git Multi-Arch: foreign Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_3.0.5-1~nd1~nd18.04+1_all.deb Size: 126948 SHA256: db267fddd4c5112b11ecef9271d381d2ec1ffc6ca48cd0ad7baf2e5cd5a4a4fb SHA1: 3a4e878eda13c19e6e46b6cf600fb329f8e0ebe7 MD5sum: 1ff4bd22cc4285f6751a84a77c8cac0c 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python-smmap (>> 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python-gitdb_2.0.6-1~nd1~nd18.04+1_all.deb Size: 47016 SHA256: aea58ce4d9a1ce6dd2906d836766aea177c5a0d6c441b9eaf23ab3433de6e3a5 SHA1: 6ba0b7960e8e673ef32e429a36b5cd696985fd34 MD5sum: 3c54337e0abf388de2283191fd0b2486 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 807 Depends: neurodebian-popularity-contest, python-jwt, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-pygithub Replaces: python-pygithub Provides: python-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python-github_1.40-1+nd1~nd18.04+1_all.deb Size: 55576 SHA256: eb425ec57ca6daa17c8501558a3ef266de365556fb7610a8068cbd3dc3240fbd SHA1: a9918882e1d5836c0472a7101444b9ebf4d45524 MD5sum: 15ae79c979f0686b57a534d1499df8a3 Description: Access to full Github API v3 from Python2 This is a Python2 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python-httpretty Version: 0.8.14-1~nd18.04+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~nd18.04+1_all.deb Size: 21032 SHA256: 41332aef69212fba4bfb6e0bbef56bf7607726eef270c187a981049441024137 SHA1: d380f040887108c0f01baaef8d6eb8485154a30f MD5sum: d5cab5ede9fc2875b8c9bdcb0b9fc088 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 610 Depends: neurodebian-popularity-contest, python-enum34, python-attr, python-coverage, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python-hypothesis_3.44.1-1~bpo9+1~nd18.04+1_all.deb Size: 120320 SHA256: 0d5d1e690c7eacbaa85530239f2cdaa4d533a9fa64b40263b9b630d6d2c0b100 SHA1: 8d55c6e7fc450927e5218797e7b5c4adc94c7987 MD5sum: 1e2b575ff76fc4070c695b74d3189798 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1079 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: doc Filename: pool/main/p/python-hypothesis/python-hypothesis-doc_3.44.1-1~bpo9+1~nd18.04+1_all.deb Size: 143692 SHA256: 2f4b40f4aacb486cfc890fd16b9f9a43ab162b3fe2ca54b098184935548f6984 SHA1: c5b906e561b1d4268ff4526fd6a0436e6de5f74b MD5sum: eef5642ed0212fa77e389b81ab77a8cf 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1163 Depends: neurodebian-popularity-contest, cython, python-numpy (>= 1:1.13.1), libc6 (>= 2.14), zlib1g (>= 1:1.2.2.4), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python-indexed-gzip_0.8.6-1~nd18.04+1_amd64.deb Size: 337356 SHA256: f85b413fd4b9ce8dee5fe1cbfeb2acecec50981e50db64fcae4b4f6afe6eb049 SHA1: 9d06045cb75f9f69500f4379cb10d7007ed4bcad MD5sum: 12ecde132a247c49dcb816e0d4d310d0 Description: fast random access of gzip files in Python Drop-in replacement `IndexedGzipFile` for the built-in Python `gzip.GzipFile` class that does not need to start decompressing from the beginning of the file when for every `seek()`. It gets around this performance limitation by building an index, which contains *seek points*, mappings between corresponding locations in the compressed and uncompressed data streams. Each seek point is accompanied by a chunk (32KB) of uncompressed data which is used to initialise the decompression algorithm, allowing to start reading from any seek point. If the index is built with a seek point spacing of 1MB, only 512KB (on average) of data have to be decompressed to read from any location in the file. . This package provides the Python 2 module. Package: python-joblib Source: joblib Version: 0.13.2-1~nd18.04+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~nd18.04+1_all.deb Size: 192460 SHA256: 4fbaad2ec40cd2bcdac3af94b1f189c7dc20f872c01801357b79ecd341806773 SHA1: 2a46c2cd9f0925bc739421e95cc707b90b0f278d MD5sum: e87876810133566a161571a0399b5b2e 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-jsonschema-doc Source: python-jsonschema Version: 3.0.2-4~nd1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 540 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~nd18.04+1_all.deb Size: 68856 SHA256: cfc85fac23d558bf1a543cc442c528cfb8d3bd8ddab1681783328d5459ee6106 SHA1: 3fd0a79ba5da9117d399948d55854b46c4613651 MD5sum: 65fd07ae39595733b3efc788174ce3a3 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 145 Depends: neurodebian-popularity-contest, libexempi3, python-tz, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python-libxmp_2.0.1+git20140309.5437b0a-4~nd18.04+1_all.deb Size: 23376 SHA256: 03bc5e25132cdda4b7188eddc804b1c02d5086281416b5c371e3ffc0f642b323 SHA1: 5c40af82cb44589374df6b1210dcf31cdbd9a8f5 MD5sum: 55c68c2de45bbde1be94b1f402d626ef 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 237 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~nd18.04+1_all.deb Size: 37176 SHA256: 04d289c82048bfec89269cc5a34b2223b07151f6c9862305d15447077e4d8b57 SHA1: 6492a907a187125002598188955f6ea18728a5fe MD5sum: 0c6aee0c62f81246fc5d013de40d0a33 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-msgpack Source: msgpack-python Version: 0.4.8-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 232 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.14) 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~nd18.04+1_amd64.deb Size: 67060 SHA256: c06da924745d259beac8cfcc3bd76995f20eac85c4f14dd27f6777d5ec5c950b SHA1: 1bd2dd729991ed8d70587680fa8f79bf5d43ca77 MD5sum: 99f4c5170886297f9e4f4f2b8b4648d7 Description: Python implementation of MessagePack format MessagePack is a binary-based efficient object serialization format. It enables the exchange of structured objects between many languages like JSON. But unlike JSON, it is very fast and small. . This package contains a Python extension module implementing the MessagePack format. Package: python-mvpa2 Source: pymvpa2 Version: 2.6.5-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8602 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.5-1~nd18.04+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~nd18.04+1_all.deb Size: 5106356 SHA256: a859f9b209a5e056239bb53dd3ed2ce770459bfaeac7cfb0ff9dc04a7636a100 SHA1: 5589ca034730bf44863d1711c5bb530ab10818ee MD5sum: 5e04676a31cc1ef914b06b70aecf132c 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20441 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~nd18.04+1_all.deb Size: 4260928 SHA256: 872c0eccce4cb62d4fc15822d80d0ae2288d1c6e3dc77ccdeaa2c53a3170f95d SHA1: 7b4f46f487f07312f0b0e64c2d056e1ef610f559 MD5sum: 498f26718581a15f2366e011c6d64d09 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5), libsvm3, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.13.1), 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~nd18.04+1_amd64.deb Size: 51648 SHA256: 0a567c988312ca10bdbafde8e2f6c4f984dd8ba2936529b352709b574d09b375 SHA1: 88a3f65c0be7bcb5341d047442b34c08349837bb MD5sum: c4f4459309a10675dfe7ac7a14097d4b Description: low-level implementations and bindings for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. . This is a package of a development snapshot. The latest released version is provided by the python-mvpa-lib package. Python-Version: 2.7 Package: python-nibabel Source: nibabel Version: 2.5.1-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65839 Depends: neurodebian-popularity-contest, python-numpy, python-six (>= 1.3), python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~), 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~nd18.04+1_all.deb Size: 2650696 SHA256: 6fc27a75df49b567e3ea7ccda70246618960e8e0aa0f4ed6a154b4e1afbca00d SHA1: 996e95fd566267fbb92d1bef6babcc0b7d680c9b MD5sum: 7eefa941a85137366c0a39fca52a2b38 Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.5.1-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9223 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.5.1-1~nd18.04+1_all.deb Size: 1484652 SHA256: 0637ff6fd5448267db9e1c6c1656c2dda43002cb9b28948c6be9b3a5db8bbc7b SHA1: db7673024d75707aaf16eca643928ecbfffcdb8f MD5sum: 0eee3ffd7a11902c9100418252def85e 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3547 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-scipy, python-nibabel, python-nipy-lib (>= 0.4.2-2~nd18.04+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~nd18.04+1_all.deb Size: 783300 SHA256: 617f00aa81de8fc80887429b3f7ed7171e06ff6cfe2097a1c73625bfea91423f SHA1: 02583b2b03e380b004071b13620162708cc6e9ac MD5sum: 712efe8584f061298c471009e1c9922b Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.4.2-2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9415 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.2-2~nd18.04+1_all.deb Size: 1903248 SHA256: cb615a6500d769246c4e381651f1d4838829e1a4549de1e2a3ac42e0fb3bb26f SHA1: e6d7a67914aa9019e1521f19737db722c0da1153 MD5sum: 634cdd3de1c7bfa1e77c17457d58019c 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2670 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.13.1), 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~nd18.04+1_amd64.deb Size: 650012 SHA256: 8685aabfe1f394009e57054449777cb56eac74b7b3a0aec1180331ad4d191d97 SHA1: a8b297e43f1c59e8a0392feb0fcbda1528887dc5 MD5sum: d68fae3cb5e65599246f4753025084df 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2878 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.13.1), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7), python-nipy-lib (= 0.4.2-2~nd18.04+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~nd18.04+1_amd64.deb Size: 725828 SHA256: 5b4fabf3b2955d6d3c19eb7d80b9fc6324e6fd1273e3dcf8717d8b63071ded4f SHA1: 485ddcbc0fd46ddc7833c5e238e14204fef5a314 MD5sum: 8f895efc463c024ddfe13772c975f622 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipype Source: nipype Version: 1.1.9-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10996 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-concurrent.futures, python-configparser, python-dateutil (>= 2.2), python-funcsigs, python-future, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-scipy, python-simplejson, python-traits, python:any (>= 2.6.6-7~), python-traits (>= 4.5.0) | python-traits4 (>= 4.5.0), python-psutil Recommends: ipython, python-pytest, graphviz, python-xvfbwrapper, mayavi2, python-mock, python-pydotplus, python-pydot, python-cfflib Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants, python-pytest-xdist, python-bids Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_1.1.9-1~nd18.04+1_all.deb Size: 1891272 SHA256: a275f985637f3b008fe586c6b745fc0dd725120bc642a25eaad25c05dcfdf346 SHA1: 35a35778ec3bbde6ac6087f9a3b0223c738625e7 MD5sum: ac4a487df88365e0251d8005a620a022 Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 1.1.9-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38457 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.1.9-1~nd18.04+1_all.deb Size: 17418076 SHA256: 2896652af664af5f5a5944c69422b3d09494df0bb5f054fcd30d6b4d6fb5249e SHA1: d9d1898af1aa316560877336bf8b06811af0027d MD5sum: 998674b9700fc39418e43ebe73815264 Description: Neuroimaging data analysis pipelines in Python -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-nitime-doc Source: nitime Version: 0.8.1-2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4194 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~nd18.04+1_all.deb Size: 2424148 SHA256: 546a26fdd570ce3e5f7768f645db802e026247e24f52f90a342ca092812ef950 SHA1: 8b3a3c979cb4ba14ef305cc858522524fec3b667 MD5sum: 85f06d37e36701044268801123c5c7b6 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-pandas Source: pandas Version: 0.23.3-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12452 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-dateutil, python-numpy (>= 1:1.7~), python-tz, python:any (>= 2.6.6-7~), python-pandas-lib (>= 0.23.3-1~nd18.04+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~nd18.04+1_all.deb Size: 1743236 SHA256: 51f619068360de414a3f7487eb9b1dc9b6982e5876d91341c978c1883f4ea7f1 SHA1: 1cb5048e40fa73a88966fb656462cb458e3cb35d MD5sum: c8b5476836e10455bd2c6a48aca19080 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~nd18.04+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~nd18.04+1_all.deb Size: 18236 SHA256: 22e2bb53b59b52d2fdee550a52feb79fbba12cf34ef043880645c9cdaf7c698b SHA1: 9472e41e18721d039692eb7fb072bb491a0e3b59 MD5sum: fb1aca469ba7c9e1d8c7650332fe0c9e 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 16107 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.13.1), 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~nd18.04+1_amd64.deb Size: 3449072 SHA256: 1548ee72ced9b4095902a0c5fa61e7e9d25d3a3834eba79f4b5b9b84b414c500 SHA1: 5d652bd447202d2b1a569c224381e08ccf1996b1 MD5sum: 3424fd909232c87b269019595dd4142c Description: low-level implementations and bindings for pandas This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 2 version. Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 780 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-six, python:any (>= 2.6.6-7~) Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.5.0+git13-g54dcf7b-1~nd18.04+1_all.deb Size: 168356 SHA256: 8efeef8c7b7ddf5e1c83e399b4fa22a2402900029fd3f44e4f586e8d1cd8e070 SHA1: 76bf15bf4717b77eac9c8832e3101fdaf3c99205 MD5sum: 079b4d1820538b630c0cc492c5b0000a 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1188 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~nd18.04+1_all.deb Size: 343700 SHA256: 322973a22358b5e11f495deedd89a33e328bdd9dd5d240233f2d1a0e3b43f6ac SHA1: 558594330c09672372aa4a715fefe178c1a2d9dd MD5sum: db50469e0ef1a50614badf52d152918d 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~nd17.04+1+nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-pprocess Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-2~nd17.04+1+nd17.10+1+nd18.04+1_all.deb Size: 83108 SHA256: 8ae099383d8c157ae1300aaf8cf62bc0b9e23cb636813b168f781b2c8379df59 SHA1: d0073bb3d9099579f73c5f3bc814e88812cbc34d MD5sum: ac9d0604892092eb645835244e5eb2ba Description: elementary parallel programming for Python The pprocess module provides elementary support for parallel programming in Python using a fork-based process creation model in conjunction with a channel-based communications model implemented using socketpair and poll. On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Package: python-props Source: props Version: 0.10.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 651 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-matplotlib, python-numpy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-props Priority: optional Section: python Filename: pool/main/p/props/python-props_0.10.1-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb Size: 117480 SHA256: 25eda699c2fb413e4a54006ba2fe99acaf7e444d2b8377cf0d3ca8d6fb7c4ff0 SHA1: 13e829aa2775b53b096e8c0f075e79d4fac3a4bf MD5sum: 05009edec10f60423d2ce747b3b0e056 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-pydicom Source: pydicom Version: 1.2.1-1~nd18.04+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~nd18.04+1_all.deb Size: 4396928 SHA256: b00193d6e31148d148bd759287447789d2143367655b573a410fcbc4e81cbf13 SHA1: 804ee27d0a16234a28580023d930a6664225d39a MD5sum: fd62acd6f02cf16443b10c2c1117ad47 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2791 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Breaks: python-dicom-doc (<< 1~) Replaces: python-dicom-doc (<< 1~) Provides: python-dicom-doc Homepage: https://pydicom.github.io Priority: optional Section: doc Filename: pool/main/p/pydicom/python-pydicom-doc_1.2.1-1~nd18.04+1_all.deb Size: 345884 SHA256: 339d8c5436f3dd776a669ef38952452a8f2522460cb009c89cc6e928b52fe823 SHA1: 1dc24a38862a3de40bbab2b2a896f1bae70fa4be MD5sum: da130241d4d5fab244f7f59dd1165f7a Description: DICOM medical file reading and writing (documentation) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package contains the documentation. Package: python-pydot Source: pydot Version: 1.2.3-1.1~nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 90 Depends: neurodebian-popularity-contest, python-pyparsing (>= 2.0.1+dfsg1-1), python:any (<< 2.8), python:any (>= 2.7.5-5~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python-pydot_1.2.3-1.1~nd17.10+1+nd18.04+1_all.deb Size: 20560 SHA256: 46529b3c6a0f2a0a924f39aa1875a0fba4a636eb76d614d02e90647918da9a5c SHA1: 7f1a688ad4549db5d372360eff00c339da287c3d MD5sum: ac2c61010959580243595a75c8732436 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-pynwb Source: pynwb Version: 0.5.1-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 687 Depends: neurodebian-popularity-contest, python-dateutil, python-h5py, python-numpy, python-pandas, python-requests, python-ruamel.yaml, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python-pynwb_0.5.1-1~nd18.04+1_all.deb Size: 98156 SHA256: 3cc7b8a3da93334f4a3fb44e42f2bb425b6192db4cc2ffaaeb236ff6d03004a9 SHA1: d506818c38749c6da37f057c5b59b2d429d0d0d0 MD5sum: 2f4be911f2b80dbec3ec8e62f56a9c39 Description: Python library for working with Neurodata in the NWB format PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format. . Neurodata Without Borders: Neurophysiology (NWB:N) is a project to develop a unified data format for cellular-based neurophysiology data, focused on the dynamics of groups of neurons measured under a large range of experimental conditions. Package: python-pyperclip Version: 1.6.0-2~nd18.04+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~nd18.04+1_all.deb Size: 9516 SHA256: 03fbfab1fdeb0edce08c2bc8305ca1001062bac41998c1390e14d1d06fe669db SHA1: 09073d95bf783414de0c303f45e07793007c3e72 MD5sum: 4ba75f1dfbda8d071a9a5a3ad886694d Description: Cross-platform clipboard module for Python This module is a cross-platform Python module for copy and paste clipboard functions. . It currently only handles plaintext. Package: python-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python-urllib3 (>= 1.12), python:any (<< 2.8), python:any (>= 2.7.5-5~), ca-certificates, python-chardet Suggests: python-ndg-httpsclient, python-openssl, python-pyasn1 Breaks: httpie (<< 0.9.2) Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb Size: 68300 SHA256: 00ea179e2885183c035a39cf0e9b3662275f88dc2a7f656a35ea1187b0fa8532 SHA1: 7346cfc18d6164c02a85a6d571cfa61835e41a00 MD5sum: 1c2977f809255bfdc23281e18af95632 Description: elegant and simple HTTP library for Python2, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts Package: python-requests-whl Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 353 Depends: neurodebian-popularity-contest, ca-certificates, python-urllib3-whl Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests-whl_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb Size: 319100 SHA256: 835245b149dd24dc4ecfce54c285f7416a95421b1f3a28a04980e0bb80f2ac01 SHA1: 0db33718d54f707e368a8f7da749bfef07816373 MD5sum: 257c2a4ec35a3f87da20f2e62feb3609 Description: elegant and simple HTTP library for Python, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package provides the universal wheel. Package: python-skimage Source: skimage Version: 0.14.0-1~nd18.04+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~nd18.04+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~nd18.04+1_all.deb Size: 19923008 SHA256: 2c0b7c597ab364af409dc9efaa5c41004b06435b1cd46764a65b974d7a0692bb SHA1: a526b8db5e19b6270e7997a4bbaec3d17fe2672b MD5sum: 62ca557896e419274a78e77b594f9d00 Description: Python modules for image processing scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package provides the Python 2 module. Package: python-skimage-doc Source: skimage Version: 0.14.0-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1672 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Suggests: python-skimage Multi-Arch: foreign Homepage: http://scikit-image.org Priority: optional Section: doc Filename: pool/main/s/skimage/python-skimage-doc_0.14.0-1~nd18.04+1_all.deb Size: 786844 SHA256: ecef6924626f3f9db373e7fda51a01c63452b412abe8638ba4b93623952c3fce SHA1: 0d94c3d3766f64f7fab928517c1cff1b66eb2385 MD5sum: e458c9f936989048694957f96a0a8dc9 Description: Documentation and examples for scikit-image scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package contains documentation and example scripts for python-skimage. Package: python-skimage-lib Source: skimage Version: 0.14.0-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11229 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.13.1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Recommends: python-skimage Provides: python2.7-skimage-lib Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage-lib_0.14.0-1~nd18.04+1_amd64.deb Size: 1780524 SHA256: 29c6e089a7d1ffa8104f47f6cc6436c2d7eac8b9f074b28d404792099ed1f6d3 SHA1: 8d9687f5e603135eec56f182b73585c7a42cd8ec MD5sum: f76cf1264faf711d7e8e4a683fd40fa5 Description: Optimized low-level algorithms for scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . This package provides the Python 2 libraries. Package: python-sklearn Source: scikit-learn Version: 0.20.0+dfsg-2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7540 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.20.0+dfsg-2~nd18.04+1), python-joblib (>= 0.9.2) Recommends: python-nose, python-pytest, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.20.0+dfsg-2~nd18.04+1_all.deb Size: 1517588 SHA256: fdc84dda0f0af1815d9e8670491673b141b0c43a0a70e2d7a10522be449be827 SHA1: b8e91bcdf6dd4f68349c8876731bbc16c5aaff89 MD5sum: 2636a70f83786c3205f466cf4fbf7afc Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.20.0+dfsg-2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 87370 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), libjs-bootstrap, libjs-mathjax Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Built-Using: sphinx (= 1.6.7-1ubuntu1) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.20.0+dfsg-2~nd18.04+1_all.deb Size: 39843940 SHA256: e4434800a6ec6ee767ee7432119e2f0ca89c8b5c8699244191152da33e9b95ac SHA1: 7bf40186dd0aad80494be2cf8f43f1c680b5be16 MD5sum: 0f56f8817338ece186bb3d3febeafcc5 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7314 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.13.1), 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~nd18.04+1_amd64.deb Size: 1583556 SHA256: b45209e6008f83d9f8a199021294267af592bd420afbd521f3a412325b8aaa7b SHA1: 1081e6beff3a59e5baedf0f037d3d415dd2ec737 MD5sum: 81ff028f6d70ff2b1f3cdef69bb4b118 Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. Package: python-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-matplotlib, python-pil, python-sphinx Suggests: python-sphinx-gallery-doc, mayavi2, python-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery_0.2.0-1~nd18.04+1_all.deb Size: 71888 SHA256: 187c96a7dc694bace9c60a3ecf33e40955a57f94161b4e7943a3f5bdd04217f6 SHA1: 0b44b91d42e5a2a2a37730e1616068faf3e4adc3 MD5sum: 2ea0bf7c48acd64c4f87b3dc054b1a90 Description: extension that builds an HTML gallery of examples from Python scripts * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains the Python 2 version of sphinx-gallery. Package: python-sphinx-gallery-doc Source: sphinx-gallery Version: 0.2.0-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2597 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~nd18.04+1_all.deb Size: 1328876 SHA256: f63a6b2046fcfa3abc217e3e837fdc05ecf1c76724300ca9e0eb9e55adec1c1d SHA1: e58fcdbdc4f33f153840530042dc86a64d17f56d MD5sum: 19613e357bb27018a73b292c95469c2c Description: extension that builds an HTML gallery of examples from Python scripts (Doc) * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains documentation for sphinx-gallery. Package: python-stfio Source: stimfit Version: 0.15.8-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1428 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.13.1), python-numpy-abi9, python2.7, python:any (<< 2.8), python:any (>= 2.7.5-5~), libblas3 | libblas.so.3, libc6 (>= 2.14), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:3.0), libhdf5-100, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), libsuitesparse-dev, zlib1g-dev Recommends: python-matplotlib, python-scipy, python-pandas Provides: python2.7-stfio Homepage: http://www.stimfit.org Priority: optional Section: python Filename: pool/main/s/stimfit/python-stfio_0.15.8-1~nd18.04+1_amd64.deb Size: 485144 SHA256: 22a1c2664a520d41d6010e58a328f3bd804cfdeefe742612e8b9e28618abb42f SHA1: 9697aae468a6b060269481d3dc3012bcdceb08b9 MD5sum: b206b8291b705d7013804c182ddf2ef3 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26373 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mpmath Recommends: python-pil, python-ctypes, ipython, python-numpy, python-pyglet, python-gmpy Suggests: texlive-fonts-extra, dvipng, python-sympy-doc Enhances: isympy Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/python-sympy_1.3-1~nd18.04+1_all.deb Size: 3499420 SHA256: 77e3ecb1c95afd35e9b2562192d734f82e50b29c67142bfa49931bf0da739b99 SHA1: 8fe0199bf603abc853ec8db4cfda2c3a32b572b2 MD5sum: 00b59c837d3c01b249245ba023cef078 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 58949 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~nd18.04+1_all.deb Size: 7248216 SHA256: dc49d55e563905f985e295e8df67ecc02838547c8ad46d3fb8de229bdec557e5 SHA1: e3da47048666277ac57d28174f2d4aa45f5fc16a MD5sum: 726cd27aba9a4edd8e96303b10dab7d1 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-urllib3 Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Recommends: ca-certificates, python-ndg-httpsclient, python-openssl, python-pyasn1 Suggests: python-ntlm Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3_1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb Size: 65532 SHA256: c145793413b31e82702be3241a1e66132d8893276ac9e49337753667c31be299 SHA1: 2829979657aa7e8c9a03a35c4680aa8f102af336 MD5sum: d43700c36d4af637d0e59926e4156dcb Description: HTTP library with thread-safe connection pooling for Python urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. Package: python-urllib3-whl Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 102 Depends: neurodebian-popularity-contest, python-six-whl Recommends: ca-certificates Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3-whl_1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb Size: 93052 SHA256: 658e64c416fbafd9bc070f9a20c9d0ddab39668df2bf08b2f8e36468b798cfdd SHA1: 30caaaaf95c7b1227cce9e7c1cecef270b129e5c MD5sum: dce299ce3ade22de0085cded08bedab0 Description: HTTP library with thread-safe connection pooling urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the universal wheel. Package: python-wrapt Version: 1.9.0-4~nd0~nd17.04+1+nd17.10+1+nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 121 Depends: neurodebian-popularity-contest, python-six, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python-wrapt_1.9.0-4~nd0~nd17.04+1+nd17.10+1+nd18.04+1_amd64.deb Size: 27860 SHA256: dfd57f9afc98eda3447fe3d4de30c311efb9b2a09e715f59478de45ae6d8c8a7 SHA1: fedff294d2758758602c77386ca5f7979c80163f MD5sum: e829aa0607cbce58da2f5b4ad8f6c23e Description: decorators, wrappers and monkey patching. - Python 2.x The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the Python 2.x module. Package: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd17.04+1+nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 461 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: doc Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd17.04+1+nd17.10+1+nd18.04+1_all.deb Size: 49736 SHA256: 5defb7d4bef5f2b569c3b7b2dce81c4afe346bdb9b7d5d971b6909743e328477 SHA1: dc2cd4e998317d4dbf8da1d58926798629b350cb MD5sum: 073fb58d36ceee0a4dadfee6a852098a 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 445 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python-xlwt_1.3.0-2~nd0~nd18.04+1_all.deb Size: 83872 SHA256: 5c953000522ed0a40179c07ea8dc0ea4ac2ae31e1b074081efae316f1562d48c SHA1: 4a06974461b0e57c4412136b0a720966037a8d89 MD5sum: f5e1690584d1b6246262282b0b2a478f 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 246 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~nd18.04+1_all.deb Size: 52708 SHA256: ad2a10c48e05f4c94e60d9147e9bd4fa52e5c7b133d6ca325578bee0142023b0 SHA1: 4c4e7768dafda6758505b255ae8942dd9be7b389 MD5sum: 16b3706edf48716c2a3563d1a2089932 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 71 Depends: neurodebian-popularity-contest, python3-future, python3:any (>= 3.3.2-2~) Homepage: https://github.com/Lykos153/AnnexRemote Priority: optional Section: python Filename: pool/main/a/annexremote/python3-annexremote_1.4.3-1~nd18.04+1_all.deb Size: 13888 SHA256: b9714ff4323cbf19d3e4427e92ed44c07a587a861422f5bdb4b8450e25f84aaa SHA1: 0baf17a6d9f7218ab81660f3e827544242b4b48c MD5sum: 1f074c4960b6e142b73c647aaa05333e 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-babel Source: python-babel Version: 2.6.0+dfsg.1-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 418 Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd18.04+1), python3-pkg-resources, python3-tz, python3:any (>= 3.3.2-2~) Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python3-babel_2.6.0+dfsg.1-1~nd18.04+1_all.deb Size: 96876 SHA256: 1a903043f96beedbfca706e299754f87a75daa01533ff1eecd1b9a07ff2e33b4 SHA1: 860bfda7ee3979ea07736f76f4ff755c147edcbc MD5sum: e4301eae7cb2747649e6d45e07fa64de 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~nd18.04+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~nd18.04+1_all.deb Size: 739796 SHA256: d595e83ff222c6241630fd26fa46fb04a76e75e63cf614e22a54114fc858df27 SHA1: 031953dfdf305ffb24a442a94b31cfecec9136ab MD5sum: 86dd962c7e54994f10498e0a331f50ea 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python3-bz2file_0.98-1~nd18.04+1_all.deb Size: 8008 SHA256: 6da2d779a7143e865f5d2f04f7ef0eb0535651c5ceabe7f4c36f419e74ed4bd0 SHA1: bb2994e294d8f7e89d1fb08a5f6a191a04f2e04e MD5sum: 94de06b99b7d760c0e358da174bc84d1 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-dask Source: dask Version: 0.17.5-2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2406 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-toolz Recommends: python3-cloudpickle, python3-partd, python3-numpy, python3-pandas, python3-requests Suggests: ipython, python-dask-doc, python3-bcolz, python3-blosc, python3-boto, python3-distributed (>= 1.21), python3-graphviz, python3-h5py, python3-psutil, python3-scipy, python3-sqlalchemy, python3-skimage, python3-sklearn, python3-tables Homepage: https://github.com/dask/dask Priority: optional Section: python Filename: pool/main/d/dask/python3-dask_0.17.5-2~nd18.04+1_all.deb Size: 429444 SHA256: e4e2e028704c221cf2f15ac486f0c9c07925e3b7c5029cd193d6062dcfe5858a SHA1: 8edbd6f93fcff30019dcd54dac803c7d2d6820b7 MD5sum: eb29c80b93c5f47a5e0b37932ddf7a06 Description: Minimal task scheduling abstraction for Python 3 Dask is a flexible parallel computing library for analytics, containing two components. . 1. Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. 2. "Big Data" collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers. . This contains the Python 3 version. Package: python3-datalad Source: datalad Version: 0.14.7-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5470 Depends: neurodebian-popularity-contest, git-annex (>= 7.20190503~) | git-annex-standalone (>= 7.20190503~), patool, p7zip-full, python3 (>= 3.6), python3-annexremote, python3-appdirs, python3-distro, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3 (>= 3.8) | python3-importlib-metadata, python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-mock, python3-msgpack, python3-pil, python3-requests (>= 1.2), python3-secretstorage, python3-simplejson, python3-six, python3-tqdm, python3-wrapt, python3-chardet, python3:any (>= 3.3.2-2~) Recommends: python3-boto, python3-exif, python3-github, python3-html5lib, python3-httpretty, python3-jsmin, python3-libxmp, python3-lzma, python3-mutagen, python3-nose, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, datalad-container, datalad-crawler, datalad-neuroimaging, python3-bs4, python3-numpy Breaks: datalad-container (<< 1.1.2) Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.14.7-1~nd18.04+1_all.deb Size: 1146852 SHA256: ff2f99bf4faba5cbb59fdd2a0061949a539c76063899990b2fa3f582368a588d SHA1: 1cd077cec831ccdfde6115e2ec402788792eae61 MD5sum: 5abee2f45df35282b9d0ddfc9698a3cc 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 504 Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3:any (>= 3.3.2-2~), libjs-sphinxdoc (>= 1.0) Conflicts: python-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python3-dcmstack_0.8-1~nd18.04+1_all.deb Size: 75532 SHA256: 6e0e23821eaf00e78332cb097e5c276a4d032be3068abfd6893e9b8a1e017d46 SHA1: e78df5d2d4a519bb8f76e3d0b673ae5e05e0a4f4 MD5sum: 3457b650cc745636f821699d51adfe82 Description: DICOM to NIfTI conversion - python3 package DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python3 package. Package: python3-dicom Source: pydicom Version: 1.2.1-1~nd18.04+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~nd18.04+1_all.deb Size: 4904 SHA256: 76809ba6969e5f95059bc2fa9fc1ee3cc97a9d6a42ed7db074384ba2c51ca876 SHA1: cf3365611e9873603f994d216b7ac378b554dd86 MD5sum: a45830603c52e65f94e4ab885c90371e 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 209 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://www.grantjenks.com/docs/diskcache/ Priority: optional Section: python Filename: pool/main/d/diskcache/python3-diskcache_4.0.0-1~nd18.04+1_all.deb Size: 33652 SHA256: 43841b29c922720b384394300ec328b257e68a3fc2ee0fc21e21ef5a1528bc60 SHA1: 6c3d180a23395d92dc378235b177b3ca150cbe3b MD5sum: 20ce3178ef732a9296352f64a6357cc0 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-duecredit Source: duecredit Version: 0.8.0-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 256 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.8.0-1~nd18.04+1_all.deb Size: 58660 SHA256: 6bf4c343fa487ca4884ea7ad0099ae471110f82192486413a59fae02925e44c6 SHA1: 5ab0229f84aa6d831329527a00003ebf2db65415 MD5sum: ce358b1d15f87b09a7888c01f18d72a6 Description: Publications (and donations) tracer duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python3 -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python3-exif Source: python-exif Version: 2.1.2-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 130 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python3-exif_2.1.2-1~nd18.04+1_all.deb Size: 27832 SHA256: f8473c8061ec37db7bde4c804ace1b7e23038d9d5c646717d9f57a13b4bc8146 SHA1: 172c0124ababbcdc38099521895391b8ca5ef0a6 MD5sum: b30728754a0fc1c9264f95aa7147a4f0 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, python3-monotonic, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python3-fasteners_0.14.1-2~nd18.04+1_all.deb Size: 15428 SHA256: 773ea24c974896a640b2e7330570ac3d6086e9be7d007f85784b671e9a9b8e9e SHA1: 3bd0d79a3a606407a5464eb1aa84184c720a789d MD5sum: 4916e2af9483029db3d424f8a2f0afb7 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python3-filelock_3.0.12-1+nd1~nd18.04+1_all.deb Size: 8304 SHA256: 223f953b316851a8b19a9b0fa68a8452495f55bef0c4a23ba1580e4ab764bbef SHA1: 5b396d62368ae6a5649ec305e9d03647eee3b568 MD5sum: 4bd3cc5990d720bc8c702b1e361efb10 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~nd17.10+1+nd18.04+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~nd17.10+1+nd18.04+1_all.deb Size: 84304 SHA256: 95d890bf94a09fc1ac1e3f0abec4704ea5efaec82c2a5aeca14835d0b9db2afc SHA1: a2d18cbd7f8b605aeb9cd831c56f349c1c2a6e25 MD5sum: 3eae59a019fbac0edf3f0124a0c5ea2f Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-git Source: python-git Version: 3.0.5-1~nd1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1678 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any (>= 3.3.2-2~) Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_3.0.5-1~nd1~nd18.04+1_all.deb Size: 307728 SHA256: 9f7fb3c6a818edd713b61aff9366e21f94e124f146a79513a44003ce87b01423 SHA1: f090a49c84649602fcd7fe81df22b1a45626a584 MD5sum: 72e025c3eaac68c124e66b1a38db9b0d 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python3-smmap (>> 2), python3:any (>= 3.3.2-2~) Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python3-gitdb_2.0.6-1~nd1~nd18.04+1_all.deb Size: 47100 SHA256: 78993426a6f7b6ed91cd0dcbe45963ec97fa87b40f703fdda5611c33eea16b5d SHA1: 83d9376bb112bd5f1a71b18f3181d1874c35edb4 MD5sum: cad78684df0ae64ed1e4f2c7b3cfce76 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 916 Depends: neurodebian-popularity-contest, python3-jwt, python3-requests, python3:any (>= 3.3.2-2~) Conflicts: python3-pygithub Replaces: python3-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python3-github_1.43.7-1~nd18.04+1_all.deb Size: 64628 SHA256: 4d04b9e50f6056ff4fb59d4c4fed3d23d73f763d2a812f606039be3ccd7d801a SHA1: 651c862e6767218540decea4365511c1faba3679 MD5sum: 5d2b7d0d1c2f9ea1d66dae7610489967 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-hdmf Source: hdmf Version: 1.1.2-1~nd18.04+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 (>= 3.3.2-2~), python3-certifi, python3-chardet, python3-idna, python3-urllib3 Homepage: https://github.com/hdmf-dev/hdmf Priority: optional Section: python Filename: pool/main/h/hdmf/python3-hdmf_1.1.2-1~nd18.04+1_all.deb Size: 63656 SHA256: 784e91ef0af02e8375b97e9c46efb995e91dfa310cb8b37a97ec6b496d5fcec1 SHA1: 901eb119bf84af278f114e5d56c4f15c2e93eb46 MD5sum: 3b3e8eb9851f679ff9b311893f809256 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, python3-six, python3-urllib3, python3:any (>= 3.3.2-2~) Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python3-httpretty_0.9.5-6~nd18.04+1_all.deb Size: 20228 SHA256: b78a273f58f3edb35a14ae8a025932494469a8fa4ec115d59371cd9a81b5d045 SHA1: d151d7607e38b84bbe1ea68bb882afff6e366cc6 MD5sum: 5f99782724ebbf44a188e04a9b9e88cd 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 610 Depends: neurodebian-popularity-contest, python3-attr, python3-coverage, python3:any (>= 3.3.2-2~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python3-hypothesis_3.44.1-1~bpo9+1~nd18.04+1_all.deb Size: 120360 SHA256: 8483c480f0969af1f62f0c01476b3d0469371d0e5f2da39cc3c87526e288d6bf SHA1: 4120650bbf83f92f51f5a42096b542a58700be37 MD5sum: f957686ef39d10f908828d48a71c3b4a 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: 1.6.0-2+nd1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 45 Depends: neurodebian-popularity-contest, python3-zipp, python3:any (>= 3.3.2-2~) Homepage: https://gitlab.com/python-devs/importlib_metadata Priority: optional Section: python Filename: pool/main/p/python-importlib-metadata/python3-importlib-metadata_1.6.0-2+nd1~nd18.04+1_all.deb Size: 10584 SHA256: bc0f83397f55ba9f1989ab26b286fd6e5229178296e3ab7468921f28a7aaadb2 SHA1: 79fb635d9a380c0a6a886f57065f0f1ae4c5698d MD5sum: 25fda9f65b6c4e3db8c71d2240d4da9f 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-indexed-gzip Source: indexed-gzip Version: 0.8.6-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1183 Depends: neurodebian-popularity-contest, cython3, python3-numpy, libc6 (>= 2.14), zlib1g (>= 1:1.2.2.4), python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.3.2-2~) Provides: python3.6-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python3-indexed-gzip_0.8.6-1~nd18.04+1_amd64.deb Size: 352884 SHA256: e5d96736bb592d83b3ed5d38bf9d18ca39a6b234694152ac64bdd9918c5de383 SHA1: 3c6a46947e66237a697e5ac746d4dc1a9a1255f1 MD5sum: a6ef0ab59f9b7b04930069c5fe92ccfd Description: fast random access of gzip files in Python Drop-in replacement `IndexedGzipFile` for the built-in Python `gzip.GzipFile` class that does not need to start decompressing from the beginning of the file when for every `seek()`. It gets around this performance limitation by building an index, which contains *seek points*, mappings between corresponding locations in the compressed and uncompressed data streams. Each seek point is accompanied by a chunk (32KB) of uncompressed data which is used to initialise the decompression algorithm, allowing to start reading from any seek point. If the index is built with a seek point spacing of 1MB, only 512KB (on average) of data have to be decompressed to read from any location in the file. . This package provides the Python 3 module. Package: python3-joblib Source: joblib Version: 0.13.2-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 870 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), procps Recommends: python3-numpy, python3-pytest, python3-simplejson, python3-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.13.2-1~nd18.04+1_all.deb Size: 189368 SHA256: 1fd7d7373865e97e53f5966c5c764d66f13339e7c7c931fac7a5fb06cee83da0 SHA1: 6c62bafff8e95330a090c766636523e1ed4f1c5a MD5sum: 942a38bdaf0982b7938ec9b679987dc4 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-jsonschema Source: python-jsonschema Version: 3.0.2-4~nd1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 252 Depends: neurodebian-popularity-contest, python3-attr, python3-pkg-resources, python3-setuptools, python3-six (>= 1.11.0), python3-pyrsistent, python3:any (>= 3.3.2-2~) 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~nd18.04+1_all.deb Size: 43248 SHA256: bb240e8ec90085e1c7cee44910fbdedb3e2a1e28f71f5b5bf10a8845ddacaf55 SHA1: 9dc8622c9fe7f9f401660f4a6bbff5d85d3c0680 MD5sum: d30a0ca5056a0bc78d2f65c6214678cf 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 145 Depends: neurodebian-popularity-contest, libexempi3, python3-tz, python3:any (>= 3.3.2-2~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python3-libxmp_2.0.1+git20140309.5437b0a-4~nd18.04+1_all.deb Size: 23480 SHA256: 470301d9e17950b473864ca92376c79cbbf33b13e30964696087c838666e6b2a SHA1: 4fc2129798bcfd362848d68735e4070eb9691a98 MD5sum: a3b6a28dab3c32495fcd43036b49a5ad 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-msgpack Source: msgpack-python Version: 0.4.8-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 229 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.3.2-2~), libc6 (>= 2.14) Homepage: https://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python3-msgpack_0.4.8-1~nd18.04+1_amd64.deb Size: 67196 SHA256: 08baed9b6858b0d8d0c15c3a4d16ccad8a6c39864da102bed08eaa2c2f6fd139 SHA1: dc930f6c9fe845c781d5102784980a621df96315 MD5sum: eb853d8de644fb8004b7dfc793174ca0 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-neo Source: neo Version: 0.7.2-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3490 Depends: neurodebian-popularity-contest, python3-numpy, python3-quantities, python3:any (>= 3.3.2-2~) 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~nd18.04+1_all.deb Size: 1309292 SHA256: 0630876053cd04d378983db69c0c104042b4d6ed94c73533107b12bbcf9e8f1e SHA1: 3819917edfa590bd05dee83669c4c9b72775e9e8 MD5sum: 56a9a8957ebf33df4c697c483dbe7323 Description: Python IO library for electrophysiological data formats NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples. . NEO offers support for reading data from numerous proprietary file formats (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well as support common file formats, such as HDF5 with Neo-structured content (NeoHDF5, NeoMatlab). . Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare replacement. Package: python3-nibabel Source: nibabel Version: 2.5.1-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65824 Depends: neurodebian-popularity-contest, python3-numpy (>= 1.2), python3-six (>= 1.3), python3:any (>= 3.3.2-2~), python3-scipy Recommends: python3-dicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.5.1-1~nd18.04+1_all.deb Size: 2646492 SHA256: 85fb4e4af68e3a7505a8b69fcf265db64ea026b5decc93f36e469565126f4700 SHA1: ff83950b9fb68dcadf460e8307a3c450c05435cb MD5sum: 75b45a75df19815215d76c2a338db0f3 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-nitime Source: nitime Version: 0.8.1-2~nd18.04+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 (>= 3.3.2-2~) Recommends: python3-nose Homepage: https://nipy.org/nitime Priority: optional Section: python Filename: pool/main/n/nitime/python3-nitime_0.8.1-2~nd18.04+1_all.deb Size: 2539396 SHA256: 9e4da69650dee131c5e838606db9f885d0579eade392c0facd2730c809526e00 SHA1: f6f8370fa09abbec141143237a9bf3e7123818e6 MD5sum: ea17c6763a616856d4c9a904db6cda55 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-pandas Source: pandas Version: 0.23.3-1~nd18.04+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~nd18.04+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~nd18.04+1_all.deb Size: 1743280 SHA256: 70ae0e91c6a422281c2d7a1688bfe73d8634fa423c5300b5afe84ee4625a6397 SHA1: 0dba4911012c5e4bdd229a88904fbad8c10492c4 MD5sum: 4ae88fae1397a00675baaa297c6f78fb 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15816 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.13.1), 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~nd18.04+1_amd64.deb Size: 3388624 SHA256: ac954f5184a5cc94d0d23f0284fc5b1aed581fe4be329cbb9cac561e098e4b23 SHA1: 089b2b22f4d026bba55e11479eeca219e68c6e83 MD5sum: ef1f713881dab21dde955344848ad86c Description: low-level implementations and bindings for pandas - Python 3 This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 3 version. Package: python3-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 779 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.5.0+git13-g54dcf7b-1~nd18.04+1_all.deb Size: 168412 SHA256: 82234dc094bd4ef8eaf4369b9442d29b18697e9fac8d88fda8e5cce95a44ef5c SHA1: 31806f281b4c7bb04c5cbc377709640166b27d47 MD5sum: 610eab0fd127c02273d2f7758d298054 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14179 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-pil Suggests: python3-matplotlib, python3-gdcm Breaks: python3-dicom (<< 1~) Replaces: python3-dicom (<< 1~) Provides: python3-dicom Homepage: https://pydicom.github.io Priority: optional Section: python Filename: pool/main/p/pydicom/python3-pydicom_1.2.1-1~nd18.04+1_all.deb Size: 4396728 SHA256: 8fb4a6fe72f83f2568ef06c2f69bfd975a16aa98bf2409c88e3eb0ca6dcedd06 SHA1: 8901ca70e7f7437d9a260e9ffe2e8d67fa48099b MD5sum: 247b967c1d58cb70a812a3e16745df5a Description: DICOM medical file reading and writing (Python 3) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package installs the module for Python 3. Package: python3-pydot Source: pydot Version: 1.2.3-1.1~nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python3-pyparsing (>= 2.0.1+dfsg1-1), python3:any (>= 3.3.2-2~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python3-pydot_1.2.3-1.1~nd17.10+1+nd18.04+1_all.deb Size: 20008 SHA256: 41f4ca06d766dc94272217a3b5417db93a060b2c6164512af010f283ee97e6c1 SHA1: 066fd17c8ac2e53eaea3a917f229654a0a4d7a15 MD5sum: 45e40d63dca62c0694420a038d81522b 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 991 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://pyfakefs.org/ Priority: optional Section: python Filename: pool/main/p/python-pyfakefs/python3-pyfakefs_4.3.3-1+nd1~nd18.04+1_all.deb Size: 130292 SHA256: 11dbb4b8d6bf08ad1ff02f9d2643b4c7379a50a6ef1a3252e7332fa14abed629 SHA1: ab50b9cf607d7e27b6cf9a20ca36e5f204931d83 MD5sum: cbc124801a634b44516381d2c2963837 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-pynwb Source: pynwb Version: 0.5.1-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 687 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py (>= 2.7.1), python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_0.5.1-1~nd18.04+1_all.deb Size: 98164 SHA256: f612651e9723beb1a54208a033319cb3c4fe68725262b35c885917ee5d3edbbb SHA1: 2319c3d71cd8df7a2bbc4167efb5a17aedd78b45 MD5sum: e27b2e9778290c716aad3cf9be977ea8 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~nd18.04+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~nd18.04+1_all.deb Size: 9624 SHA256: dbb4e17d7cc1047cff9a6d699f629cac709a491bdbe2a129e3cfe37c2be9fc34 SHA1: 9706c13d57ad0cfa3357062a7a72aa6b8422bbc9 MD5sum: c75563d873d66a10f3a2f823d87bb26f 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 245 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.6~), python3-six, python3:any (>= 3.3.2-2~), libc6 (>= 2.14) Multi-Arch: same Homepage: https://github.com/tobgu/pyrsistent/ Priority: optional Section: python Filename: pool/main/p/pyrsistent/python3-pyrsistent_0.15.5-1~nd1~nd18.04+1_amd64.deb Size: 57964 SHA256: 95a9d202b0dc3518028d05913a1bc718d10d8df2d17c65a6a8723c1f979ed371 SHA1: aa5bca04c4d391b0fa9ba0f207c9255e711cdb50 MD5sum: 4f46b784d7230b59d268e7013da15b92 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-pyxid Source: pyxid Version: 1.0-4~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest, python3-serial, python3:any (>= 3.3.2-2~), python3 Homepage: https://github.com/cedrus-opensource/pyxid Priority: optional Section: python Filename: pool/main/p/pyxid/python3-pyxid_1.0-4~nd18.04+1_all.deb Size: 10992 SHA256: a4c8f4379de046c3f569ebe51cca3abe1357a13036274e6f64e1798d77369f2e SHA1: c3452c2aef77ac56f802fc7fd43c133f7223d557 MD5sum: ebb22c9f512f41713f9b00bf05ce2875 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: 0.12.3-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 351 Depends: neurodebian-popularity-contest, python3-numpy, python3:any (>= 3.3.2-2~) Suggests: python3-unittest2 Homepage: http://packages.python.org/quantities/ Priority: optional Section: python Filename: pool/main/p/python-quantities/python3-quantities_0.12.3-1~nd18.04+1_all.deb Size: 55240 SHA256: 7b660b08c7ec10f71b858545401972b4a300603e33c1bc4a72a45ff7923fde4d SHA1: 8700cb76f84df282a733106a8368cb679b4bce64 MD5sum: 5ee48a02693633338868b9762e560c42 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 176 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.6~), python3-requests, python3-rpaths, python3-usagestats, python3-yaml, python3:any (>= 3.3.2-2~), libc6 (>= 2.14), libsqlite3-0 (>= 3.5.9) Multi-Arch: same Homepage: https://www.reprozip.org Priority: optional Section: python Filename: pool/main/r/reprozip/python3-reprozip_1.0.14-1~nd18.04+1_amd64.deb Size: 46492 SHA256: d7f7e3fac35da5455e294b70baf7e606c966c30e0f35602a3b8d0484265f8f30 SHA1: 08d2ba9697cd42ec32ea28911096a4a1fccb2b27 MD5sum: 802a7588940260f0a7e894600b272f0a 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 265 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.7), python3-dbg (>= 3.6~), python3-dbg:any (>= 3.3~), libc6 (>= 2.14), libsqlite3-0 (>= 3.5.9), python3-reprozip (= 1.0.14-1~nd18.04+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~nd18.04+1_amd64.deb Size: 112384 SHA256: df0914bc3d44d27181d1b9c89e7e08c0a1e470395e8dfc085cf644c369a2cb75 SHA1: 26ac9cd563b8d86d345ee93c5769184de4bc8775 MD5sum: edd38fe53735988ef782c33a8c7ffc88 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: 4cf35cca243fa8f71f55a000a946bbf16b5a4ffd Package: python3-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python3-urllib3 (>= 1.12), python3:any (>= 3.3.2-2~), ca-certificates, python3-chardet Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python3-requests_2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb Size: 68096 SHA256: 294ae65338c8ed82338ad1634a1144f89129762c124744dc2977382cfeb036c4 SHA1: e4119f62c9c97e7a16db21879c881f349261a1a2 MD5sum: 89ca22e1cd036102bac29575c7c5cc8a Description: elegant and simple HTTP library for Python3, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package contains the Python 3 version of the library. Package: python3-skimage Source: skimage Version: 0.14.0-1~nd18.04+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~nd18.04+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~nd18.04+1_all.deb Size: 19903844 SHA256: 4508b078b875aa138fd329c28cb513793e411df268fb51d49c5696433a55f4ce SHA1: 76db0817158359758e9b038f83d8af6fa41dc94f MD5sum: ec9253f15b08a3a6e46e1cfd3b7c1b6b 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10834 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.13.1), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.2~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Recommends: python3-skimage Multi-Arch: same Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python3-skimage-lib_0.14.0-1~nd18.04+1_amd64.deb Size: 1724376 SHA256: ac8419d2cefbc87d8835a3c09fc7bf33f3545acdc428232ef85b2247138621cd SHA1: 19d762e09832411e7d69fb1d710cc227821741e3 MD5sum: c7aab635c55c760361a2e3008b85821a Description: Optimized low-level algorithms for Python 3 scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . This package provides the Python 3 libraries. Package: python3-sklearn Source: scikit-learn Version: 0.20.0+dfsg-2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7539 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.20.0+dfsg-2~nd18.04+1), python3-joblib (>= 0.9.2) Recommends: python3-nose, python3-pytest, python3-matplotlib Suggests: python3-dap, python-sklearn-doc, ipython3 Enhances: python3-mdp, python3-mvpa2 Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn_0.20.0+dfsg-2~nd18.04+1_all.deb Size: 1517464 SHA256: 62578f769485fd99e9dd08863fb5c6eb336d0ddc98d3518cb836238c04d4a261 SHA1: 5e893a9dee32cdfe348b5eac185cb8633d818a6f MD5sum: 87fc62b92b92e7a70096642e6a14b612 Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-sklearn-lib Source: scikit-learn Version: 0.20.0+dfsg-2~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6933 Depends: neurodebian-popularity-contest, libatlas3-base, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.13.1), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~) Provides: python3.6-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.20.0+dfsg-2~nd18.04+1_amd64.deb Size: 1503232 SHA256: 092ed687475c21488d9584ad65df5cac4086ea1af916e0637474d1457e832923 SHA1: 09cd6d0fc4765543c82e1808fdbfff2abf5fca65 MD5sum: bfc897fb96c2a6f709158a7446d76201 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-sphinx-gallery Source: sphinx-gallery Version: 0.2.0-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-matplotlib, python3-pil, python3-sphinx Suggests: python-sphinx-gallery-doc, python3-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python3-sphinx-gallery_0.2.0-1~nd18.04+1_all.deb Size: 71960 SHA256: feb786342f3e479c2184f7e628e2d0c4ee07c785394e20f08511d7883510706c SHA1: 4182e67ceabd0173bd72efb60d9c23881be7bc8b MD5sum: a37099ba5668d6a9ffb6d67cf42e004a 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: 0.2.1-2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: neurodebian-popularity-contest, python3-pbr, python3-sphinx, python3:any (>= 3.3.2-2~) Homepage: https://github.com/sphinx-contrib/apidoc Priority: optional Section: python Filename: pool/main/p/python-sphinxcontrib.apidoc/python3-sphinxcontrib.apidoc_0.2.1-2~nd18.04+1_all.deb Size: 7476 SHA256: e35050173722df68b164425a411f84ad6543a6e72a53f366b1ad53abf06a4bd4 SHA1: cf072a9640ed013e53204f9ced489fbf465834b3 MD5sum: c1e0c9920eecdc5b473fe3f58b5d4d4d 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-sympy Source: sympy Version: 1.3-1~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26373 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-mpmath Recommends: python3-pil, ipython3, python3-numpy Suggests: texlive-fonts-extra, dvipng, python-sympy-doc Enhances: isympy3 Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/python3-sympy_1.3-1~nd18.04+1_all.deb Size: 3499860 SHA256: 53cb14c2b1c4c1c9d6fbbba3fbc6264a8e87e2be45b3123d418614d89710a1c6 SHA1: 9ee3c3940df9a2dd9aa8aa853cc8346afcdd550b MD5sum: 278de7715c7f0137bf7e5615cea211e1 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-urllib3 Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-six Recommends: ca-certificates Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python3-urllib3_1.12-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1_all.deb Size: 65652 SHA256: 2f09fcb63c34fe4fefab358337681b21f4a9370fa8dcb95b0b6af97327eaaba7 SHA1: 7902c9e8853b1d0d853496b318e8a07c2d54fe79 MD5sum: 45fb1be596dafa3b069af7cebd2df35f Description: HTTP library with thread-safe connection pooling for Python3 urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the Python 3 version of the library. Package: python3-wrapt Source: python-wrapt Version: 1.9.0-4~nd0~nd17.04+1+nd17.10+1+nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 121 Depends: neurodebian-popularity-contest, python3-six, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.3.2-2~), libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python3-wrapt_1.9.0-4~nd0~nd17.04+1+nd17.10+1+nd18.04+1_amd64.deb Size: 27824 SHA256: 04db28dcf79c3e15931313a343905595d06e0103ca0a16c2e8f36acc9cac0261 SHA1: 4543a1762bb0f513d0402d2f8f5b57cf1b9de84e MD5sum: 83abda97b55ffb2acceee7f205d955f3 Description: decorators, wrappers and monkey patching. - Python 3.x The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the Python 3.x module. Package: python3-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 445 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python3-xlwt_1.3.0-2~nd0~nd18.04+1_all.deb Size: 83968 SHA256: 6d0022cfbde172d085b49b28144d97d9bb1536d00b3f36d2de16a669d49435f0 SHA1: da74706e07d2d85bf7218d34788b11d7d9710a10 MD5sum: ae10770e07bc32bca6ed431a1c02a884 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~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: neurodebian-popularity-contest, python3-more-itertools, python3:any (>= 3.3.2-2~) Homepage: https://github.com/jaraco/zipp Priority: optional Section: python Filename: pool/main/p/python-zipp/python3-zipp_1.0.0-3+nd1~nd18.04+1_all.deb Size: 6332 SHA256: 53c80a2691a5273fa07841115f4eea5fa39a9f4f41affc845a74b4456cf607aa SHA1: 3f93de05e1bd352922fd8908c25e951e51bc2725 MD5sum: 0aa18cacc5100aedeb03d5dd0c73355b 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: amd64 Maintainer: Debian Go Packaging Team Installed-Size: 19633 Depends: libc6 (>= 2.3.2) Built-Using: go-md2man (= 1.0.8+ds-1), golang-1.10 (= 1.10.3-1), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-github-a8m-tree (= 0.0~git20171213.cf42b1e-1), golang-github-abbot-go-http-auth (= 0.0~git20150714.0.46b9627-2), golang-github-aws-aws-sdk-go (= 1.12.79+dfsg-1), golang-github-azure-azure-sdk-for-go (= 10.3.0~beta-1), golang-github-azure-go-autorest (= 8.3.1-1), golang-github-coreos-bbolt (= 1.3.1-coreos.5-1), golang-github-davecgh-go-spew (= 1.1.0-4), golang-github-dgrijalva-jwt-go-v3 (= 3.1.0-2), golang-github-djherbis-times (= 1.0.1+git20170215.d25002f-1), golang-github-dropbox-dropbox-sdk-go-unofficial (= 4.1.0-1), golang-github-go-ini-ini (= 1.32.0-2), golang-github-google-go-querystring (= 0.0~git20170111.0.53e6ce1-4), golang-github-jlaffaye-ftp (= 0.0~git20170707.0.a05056b-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kardianos-osext (= 0.0~git20170510.0.ae77be6-5), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-mattn-go-runewidth (= 0.0.2+git20170510.3.97311d9-1), golang-github-ncw-go-acd (= 0.0~git20171120.887eb06-1), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-google-cloud (= 0.9.0-5), golang-goprotobuf (= 0.0~git20170808.0.1909bc2-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.41-1~ndall0_amd64.deb Size: 4810068 SHA256: b62160db730a2285a36444f0eb30a9f4c6a67957e03fff27de9cc3f8a7ecd689 SHA1: 68368135f21e5fa81d2904f9391054208697d5b3 MD5sum: f58523511ec0a1334697803e366f753e Description: rsync for commercial cloud storage Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers: . - Google Drive - Amazon S3 - Openstack Swift / Rackspace cloud files / Memset Memstore - Dropbox - Google Cloud Storage - Amazon Drive - Microsoft One Drive - Hubic - Backblaze B2 - Yandex Disk Package: reprozip Version: 1.0.14-1~nd18.04+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~nd18.04+1_all.deb Size: 3640 SHA256: 33f8657ad4be0be129ec7be7db007bdaab9312625b805e19452e43e6cdf15a36 SHA1: e10ca304374f2e6adadc2d0192250d15d13fb97a MD5sum: 0b8aa86e68b8ce07042ba89843ee6bc6 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~nd18.04+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~nd18.04+1_all.deb Size: 183652 SHA256: 1bd60cf37c603d692317b3795a8d1d9554a325b7b68f77ac88a0f9dc1d557d09 SHA1: 4ff52a84a8161595393378756b12f27b02b74e23 MD5sum: 861e21d8cd6d63083ac44df52ffcf992 Description: AsciiDoc to HTML rendering for Ruby (core libraries) Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. . This package contains the library files used by the asciidoctor package. Ruby-Versions: all Package: s3cmd Version: 2.1.0-2~nd18.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 491 Depends: neurodebian-popularity-contest, python3-dateutil, python3-magic, python3:any (>= 3.3.2-2~) Homepage: https://s3tools.org/s3cmd Priority: optional Section: utils Filename: pool/main/s/s3cmd/s3cmd_2.1.0-2~nd18.04+1_all.deb Size: 115768 SHA256: 9a5c26814fae108a4e379bf3e291a179eb6b0fc8f7f5e42fe29180e7befe923b SHA1: 63c4637f262ea33a8de25f774d1bdc10a7743170 MD5sum: da6b1407a4db87b05bd5e9752f34569a 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2509 Depends: neurodebian-popularity-contest, python, squashfs-tools, ca-certificates, libarchive13 (>= 3.0.4), libc6 (>= 2.27) Recommends: e2fsprogs Homepage: http://www.sylabs.io Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.6.1-2+nd2~nd18.04+1_amd64.deb Size: 351436 SHA256: 7a9b0963cb5c2ab57a1afed1691ac191dace892bbcaecf5724d677326d9fbf07 SHA1: 5f242b896943612973bf32dec6a9e996f2e4b30f MD5sum: 75f0ebbb7dcee9981d0a2501e2be2be0 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~nd18.04+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1165 Depends: singularity-container (= 2.6.1-2+nd2~nd18.04+1) Priority: optional Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.6.1-2+nd2~nd18.04+1_amd64.deb Size: 906800 SHA256: a9d5f3a1afc7f1142638e65e0e6fe684391832520641f96c6f88d1297bf7f0ce SHA1: 4e6585cbce07c0bb142c50417b6a0e6b3df40a42 MD5sum: 252dddf393185138b364bd43baf560b8 Description: debug symbols for singularity-container Build-Ids: 018d484edffb790e3d7181bedd9cc050de05758b 0471c2e3e689618c495b582acdbdaa84630bc29d 180995ce3f63f12cd7403180f740f88d077bf64b 204ec62c0f93464004b369a7004c2f6e8534bb9c 38e9bf14ad0e721a502725a7df4b334ea9633112 54ee7c13ab2b5b1cc9c5e02edd608b3bad8ec3b1 577fee9661a16819446105a5bdb22343c8736985 7d7415f62d1986b341c0dd13384af8b5f9989bb6 90cb9978eefb3129ff52b846119f4bd6578be932 a134d2e649e011c2a3fe0a4f40accb52af49abf1 b726b518bca69e190f778ab4982fb2ad52be29ea bd840ed876dc78d1f4a3ef0e5df2789675d3bfb1 ca9c0b6f6e8b7ccf91b31323ba444e00055e8bf6 dd72d7f7e301bdcac0acd164f99cad0874ec2bf8 fd2eab99395304e214f845f0e586da135c4ea43a Package: stimfit Version: 0.15.8-1~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3242 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.14), 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), python-numpy (>= 1:1.13.1), 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~nd18.04+1_amd64.deb Size: 901828 SHA256: 0c39bb81f58fb058d2b116072c0b8b360fa55e3ef94501794ca337437f905934 SHA1: 2aafc16b5c6abe6d6eca94a96f7d8336d74b46da MD5sum: db9b78728fe11937fb5947d9806fed97 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8534 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~nd18.04+1_amd64.deb Size: 8292804 SHA256: ed830c176858e021fdd033207a972dd7c0fc5118b38ba753f9e36b4174b44c04 SHA1: 7745f9e4ec958bf39bd4166a8fe2fbf27a867c18 MD5sum: 5988d16cf6fa769a1205f1dbc4fa3ee3 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: 1477d586cf868d076e5ff1fe248d35eef86877e3 47457d4f6c8d9c98112db060c76c75e5babc5d26 4c0c0dac69dce2c9572f6570419672c3ecec2581 5ee73f012c8ed9a76b97d15e236e30a5358c9874 c0c26338820a9ee9c2e3c5b4fdb1bef03f2574c7 da2fde50bddb1a901b88243293b06ef868d60bb1 e74967bedda569784436501fb7a48e58f604e665 Package: svgtune Version: 0.3.1-1~nd18.04+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~nd18.04+1_all.deb Size: 7580 SHA256: 00fc3afa02badfb696a80435c0acc65186263c18f730ceae783aa71df32bd62e SHA1: e2f6159cfe75f7211fc63ebfe4aaf76c0581443f MD5sum: 03ade391253c7a9e87059f1ebad94f0e 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 234 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 7), libvw0 (= 8.6.1.dfsg1-1~nd18.04+1) Suggests: vowpal-wabbit-doc Homepage: http://hunch.net/~vw/ Priority: optional Section: science Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit_8.6.1.dfsg1-1~nd18.04+1_amd64.deb Size: 59032 SHA256: 0d184f96842946c74d556dd1ead5969d76daf7cc8d7fdfe0a409f205efec0de9 SHA1: fe731742332682368c820c709ff9d98821cf2324 MD5sum: 51010e2c6bc03551684e862d42a029ed 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~nd18.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 603 Depends: neurodebian-popularity-contest, vowpal-wabbit (= 8.6.1.dfsg1-1~nd18.04+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: debug Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-dbg_8.6.1.dfsg1-1~nd18.04+1_amd64.deb Size: 89044 SHA256: 8951c91bf0d7d6ce89dddef45b0f9122404e788105ec29187f074eeba0fa570f SHA1: a74bd112cd6daffb06541aaddfebb475f224fa82 MD5sum: 763275a8224486fa3f887629dc1eba83 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: 40461077bc2fd7b9d55158f97b293ccb0204da31 812912d904f8081bcd7649cb934a2a806f0155ac 86b4310ac9d2f34572c1b6fd510f8480e438bffd 8d766c95edcaa284aac24605df13cb23d5a1ca82 8edaa581c59b70bf86b2eb592cdef2828b4e2d03 b0da4782dc4b57d9d0b91b1c1efd576db005f75e db8adc82838b47450105aabd3df0db648df98811 eb88d5447d5af5e32857cb27e6fbda8317406cf2 Package: vowpal-wabbit-doc Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd18.04+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~nd18.04+1_all.deb Size: 18693472 SHA256: 3924e0119fdad74b1b824f02e0fc6164d441ceccdace719147b230e040094c9e SHA1: f07e3653b997fcc203628a6cc5de088e49b02a45 MD5sum: 5ab092b1a3bbcbf35a22251fb68aefa2 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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