Package: btrbk Version: 0.27.2-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 318 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 4.12) | btrfs-tools (>= 4.12) Recommends: openssh-client, pv, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.27.2-1~nd18.10+1+nd19.04+1_all.deb Size: 86016 SHA256: e4b05541aa21ea97802d132a0e6622a82edc22ae428f1414509d28f4a8c49b22 SHA1: fceca931e27b9178758490dbe9f131ff88b4c70c MD5sum: aa10e879c7dbb1a522f22bf46264f3de 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+nd18.10+1+nd19.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 63 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libcnrun2 (>= 2.0.0), libgcc1 (>= 1:3.0), libgsl23 (>= 2.5), 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+nd18.10+1+nd19.04+1_i386.deb Size: 18560 SHA256: 1f3114261d3fee760b9c7e7d8ace74d8e57122f2107903b0cf7d5b22e4a78c72 SHA1: 60331643814d42245d7390f4a20e3c5b39beac96 MD5sum: 273d4d6a490a0cfc371505f5d7f6089f 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: convert3d Version: 0.0.20170606-1~pre1~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 59967 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libgcc1 (>= 1:4.0), libgdcm2.8, libinsighttoolkit4.12 (>= 4.12.0-dfsg1-2~), libqt5core5a (>= 5.12.2), libqt5gui5 (>= 5.8.0) | libqt5gui5-gles (>= 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_0.0.20170606-1~pre1~nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_i386.deb Size: 9729284 SHA256: 5fe3b7897e273a59e6782d9ce0d864032435d18d489356ba71263f132cc0ef2b SHA1: d887df03a3bfa89721f9efc78baf88725c2fc552 MD5sum: 5b138860503a3e11bbaca452bd99cbf0 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: datalad Version: 0.11.4-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 132 Depends: neurodebian-popularity-contest, python3-datalad (= 0.11.4-1~nd18.10+1+nd19.04+1), python3-argcomplete, python3:any Suggests: datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.11.4-1~nd18.10+1+nd19.04+1_all.deb Size: 95672 SHA256: b921bd75d56b1ade78f52c86378ee42a36b780f75a3d0a4761e0a97228b4bf1b SHA1: 8998da204b5c5ba7ff08d0e3d35b8ba19cffce0c MD5sum: e7146db51879f1f1f852c7a307f58255 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package provides the command line tools. Install without Recommends if you need only core functionality. Package: datalad-container Version: 0.3.1-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, datalad (>= 0.11.1~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3:any Recommends: singularity-container Suggests: docker.io Homepage: http://datalad-container.rtfd.org Priority: optional Section: science Filename: pool/main/d/datalad-container/datalad-container_0.3.1-1~nd18.10+1+nd19.04+1_all.deb Size: 17844 SHA256: f81b931405c78508bb8359ccfd234efe4c4966a6187640fe5222a2d39b9b6a5c SHA1: 8ac61318b9837a7627891a7084ae25e7be5fd6ea MD5sum: f216acbb1a3227e8f763c2a0f9cb7da8 Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: dcm2niix Version: 1:1.0.20181125-1~nd2~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 753 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libyaml-cpp0.6 (>= 0.6.2) Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20181125-1~nd2~nd18.04+1+nd18.10+1+nd19.04+1_i386.deb Size: 183600 SHA256: e7a52218bb8186cf3c45509c01c5a721edb56fd0f773370595f6dae975379e1c SHA1: 5535b7451d563ae82dfdf8ee84acb9ea7fb7a978 MD5sum: 6f64621ef544876eace32a9ef1a7a024 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: fsleyes Version: 0.15.2-1~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 242045 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~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 28081232 SHA256: 0aeb45fabb11ed15c902d4b01781f518bdfc47f0fc10234cd7b2c97da55ef2bd SHA1: 74d95c498230ce155f625b408234c530486842e2 MD5sum: e4e8c920444d5c1056d1c1553b12cc38 Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: git-annex-remote-rclone Version: 0.5-1~ndall+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1+nd19.04+1_all.deb Size: 7992 SHA256: a1b40473bf89174dd1ef7b01416fd71f25fdc43bc00d2877857c36139256f9ca SHA1: 35f5e96a84a7cbe1b957f495e4def729464fe39f MD5sum: 0d7fcf01aed707e22e1aa8ca9da86599 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 7.20190219+git191-g2d6a364d4-1~ndall+1+nd19.04+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 176392 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, youtube-dl, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Breaks: datalad (<= 0.11.1~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_7.20190219+git191-g2d6a364d4-1~ndall+1+nd19.04+1_i386.deb Size: 65293008 SHA256: 69eb6e3fb4ba336227b4467330813c01c510fb09ceef7e96cd7e1ccbff076d79 SHA1: 3efcc64ed3e424719b843be623c28154bd4f561a MD5sum: 9d4dfba825865d4f67781e14d9c92296 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with a dozen cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: heudiconv Version: 0.5.3-1~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 961 Depends: neurodebian-popularity-contest, dcm2niix, python, python-dcmstack, python-dicom, python-nibabel, python-pathlib, python-numpy, python-nipype Recommends: python-pytest, python-datalad Homepage: https://github.com/nipy/heudiconv Priority: optional Section: science Filename: pool/main/h/heudiconv/heudiconv_0.5.3-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 248464 SHA256: 745779fd2a03719119ff1090a780a37edf26a2e4433c41dfb3d6b7691c85d182 SHA1: b4bae9faa39f276f8ef138fc6ea88bf2ceb0893e MD5sum: a05356eb8adb62b8bd5b196bfbdb0720 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: libcnrun2 Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 278 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libgcc1 (>= 1:3.0), libgsl23 (>= 2.5), 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+nd18.10+1+nd19.04+1_i386.deb Size: 86192 SHA256: ec8ddb4490aee067d88da5d63b787850b18d41744f15d13db7eb11ffd0073a97 SHA1: e33f2b63e8492d817ecfc4502b4f5491b70fb3c1 MD5sum: b533044fc62db6e1b2ebdd3e087b6c21 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+nd18.10+1+nd19.04+1 Architecture: i386 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+nd18.10+1+nd19.04+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+nd18.10+1+nd19.04+1_i386.deb Size: 21716 SHA256: 529775a4052560281b367278472789a6d2888f5827075cce97c8d6fabdc77988 SHA1: 9ca1b9fe91a7470d328979cc25bf263ed5372a2e MD5sum: 56355077e581636f7cc5cd76f704bd74 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: lua-cnrun Source: cnrun Version: 2.1.0-1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 121 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+nd18.10+1+nd19.04+1_i386.deb Size: 40760 SHA256: 6fbc86e5b6c739526ff92ea943423c461ab8270fb3cadac9ec953d35c9b6a05d SHA1: d4605dafc8f8d4a9c5b5a624a1fe990a0869ecf5 MD5sum: 7134a8245c70cbf9e54d3501362de085 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: mrtrix Version: 0.2.13-1~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9542 Depends: neurodebian-popularity-contest, libatkmm-1.6-1v5 (>= 2.24.0), libc6 (>= 2.29), libgcc1 (>= 1:3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1v5 (>= 2.54.0), libglu1-mesa | libglu1, libgsl23 (>= 2.5), 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+nd18.10+1+nd19.04+1_i386.deb Size: 1502496 SHA256: 3a5679087f402ae6707a8355c6f54ceac4b0b91d9d0e6904d0ffb501ecb08ba0 SHA1: 41d43cdb07ceba2c5c7fa534cbd2c8a86136ca70 MD5sum: 5ad5e521e84a6e37d0475cfc257f9c53 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+nd18.10+1+nd19.04+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+nd18.10+1+nd19.04+1_all.deb Size: 3180372 SHA256: 1af740b1124448f01db6703357b93059f7b01f5a83ec8b61ab8176272ce837ca SHA1: b470252074444187caeb42d825ce2ff551e997c7 MD5sum: 544fc219b3e8d84d89faa2d2a39ef382 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: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.15.20190401.dfsg1-1~nd18.10+1+nd19.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4322 Depends: neurodebian-popularity-contest, octave (>= 4.4.1), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.29), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgstreamer-plugins-base1.0-0 (>= 1.0.0), libgstreamer1.0-0 (>= 1.0.0), liboctave6, libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), 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 (= 3.0.15.20190401.dfsg1-1~nd18.10+1+nd19.04+1), psychtoolbox-3-lib (= 3.0.15.20190401.dfsg1-1~nd18.10+1+nd19.04+1) Recommends: octave-audio, 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_3.0.15.20190401.dfsg1-1~nd18.10+1+nd19.04+1_i386.deb Size: 866968 SHA256: 09c7753115e64e3fdb53a724750c8f357c6750175b30af007022191d3c8b1728 SHA1: af7c538baabbaf7726650789cc3059af553f03ab MD5sum: 849ee1719dc5b22e13ce823764b13f6e 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: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.15.20190401.dfsg1-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 253612 Depends: neurodebian-popularity-contest Recommends: alsa-utils Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.15.20190401.dfsg1-1~nd18.10+1+nd19.04+1_all.deb Size: 23895416 SHA256: 898105f68835edd3c7eb73d9a1b2632cd710f684fe29fd691a535fac07ff0cc0 SHA1: 0cbbc04576265dc2ee7e465e6151545c9c97cab8 MD5sum: 6068a9a356f63186e2f22cf50fdbc54e 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: 3.0.15.20190401.dfsg1-1~nd18.10+1+nd19.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9997 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.15.20190401.dfsg1-1~nd18.10+1+nd19.04+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.15.20190401.dfsg1-1~nd18.10+1+nd19.04+1_i386.deb Size: 9081052 SHA256: 3cd526adcc61f3c083f3f0c054b5404ed4493e897778771f19776d4d13e2c68e SHA1: 5a989cb7935d809bbc1ea96a36db3bb4c2c057f2 MD5sum: 1cdc3a3097d5b177d5900c15c2f8947b 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: 1a8e48c0a610b78375c43de7d70c689a102d5052 32d9d6c00cfd98df396096238cd5499305d3e760 3628907d7c08fd2034b27c7dea34791c6bbea9ee 56abc017c0e93a326c3e4bb163d981db2756025a 7ae4ac651c69a6feb8d1030934546f5c76b299c1 7e8b31b928aa7444b55f85707577dce2255b7296 adc7dc3bb2b16d63d37380e3bee73bbebedc6d1e b941dd77d0bdb6ca6a393a651b91ac7cc534fca6 c8947ebe389dcd256cf2a8e4a6ab09701d4205da d4cb68cf0ba26340f5bc171dbd6a4ead44f8e8bd d9d5c10ee656b310d5234a3382016495c5f730de Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.15.20190401.dfsg1-1~nd18.10+1+nd19.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 189 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5) Recommends: gstreamer1.0-plugins-base, gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.15.20190401.dfsg1-1~nd18.10+1+nd19.04+1_i386.deb Size: 76792 SHA256: d5a707c6207621a8f2769aa736dff06e35593d31d62c8bbdc083d1c9074ff953 SHA1: 253d9a3b01862c3231176e0afd0836fa044b9fa0 MD5sum: c09a19899cff45d4578c634e16721a56 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: python-datalad Source: datalad Version: 0.11.4-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4396 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180913~) | git-annex-standalone (>= 6.20180913~), patool, python-appdirs, python-fasteners, python-git (>= 2.1.6~), python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage, python-keyring, python-mock, python-msgpack, python-pil, python-requests, python-simplejson, python-six (>= 1.8.0), python-tqdm, python-wrapt, python-boto, python-chardet, python:any (<< 2.8), python:any (>= 2.7~) Recommends: python-exif, python-github, python-jsmin, python-html5lib, python-httpretty, python-libxmp, python-lzma, python-mutagen, python-nose, python-pyperclip, python-requests-ftp, python-vcr, python-whoosh Suggests: python-duecredit, python-bs4, python-numpy Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.11.4-1~nd18.10+1+nd19.04+1_all.deb Size: 916728 SHA256: 10c6d18f3d6fa83deb4f6ed8be13a3ec5581463aaa0d0f744869ab93655ea1b4 SHA1: c731c2f74eebd4fe9b5055915fb4eb409b97ae1e MD5sum: 331d75f83fe21ccc8ea7afd256f3e7cc Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 2, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python-dcmstack Source: dcmstack Version: 0.7-1~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 516 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python-pydicom, python:any (<< 2.8), python:any (>= 2.7~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python-dcmstack_0.7-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 79572 SHA256: 29747bdc72e65c9eb582a8ef00b3ce2cd79ad9a3cea8093cc91fbfb075e75c15 SHA1: 9759afe9f3c0640e5b236024b012c1410d11ae77 MD5sum: 1c30b37ec911296b42ab30f5b8fc51f5 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+nd18.10+1+nd19.04+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+nd18.10+1+nd19.04+1_all.deb Size: 4992 SHA256: 591d8859c399fa4cf42a2c3a775f2651aa20c1aaca34e4a528b286cfa2584f15 SHA1: a0f5f8e004e1c04d317cca35cd16ffd29a5ff96c MD5sum: 85ce9b400685d9869162d985f5f17004 Description: transitional package for python-pydicom This is a transitional package. It can safely be removed. Package: python-duecredit Source: duecredit Version: 0.7.0-1~nd18.10+1+nd19.04+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~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.7.0-1~nd18.10+1+nd19.04+1_all.deb Size: 53492 SHA256: 559b5000c8615188e405db9a8696544c15ab24ef8fd246c45f4112e605d5db3b SHA1: 9f8871dc5c7c6b79bbed19f1a6c8ad085d81ed32 MD5sum: 480d9a03d39eca24d8fed187f3044c85 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-fsl Source: fslpy Version: 1.2.2-2~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+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~) 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+nd18.10+1+nd19.04+1_all.deb Size: 84408 SHA256: 8068f4112ded618ab3e3fd10b034982b7c79aed8f18f81a8f29453cc3d246a66 SHA1: a8aa8c4ec374009300524631ec604a4a33cb9d70 MD5sum: d36e699dc6c3fa83032f970f43f4bdff 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+nd18.10+1+nd19.04+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~) 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+nd18.10+1+nd19.04+1_all.deb Size: 75500 SHA256: f6c48b437cc02b24355399e1cf31a38b178d1c10b0aa2471982c39911c3d016d SHA1: 7a0d6270b7ab3f20e166cb23320764a1a7f73963 MD5sum: f232ab0a9416af5e1535e7388fb47142 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+nd18.10+1+nd19.04+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~) 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+nd18.10+1+nd19.04+1_all.deb Size: 69076 SHA256: f3f3aa6aefadade5220d63f819257da6de20d84865339b5bf19706b7be03b987 SHA1: aa25f97daf2d261d40143c8bea24526d214fdee9 MD5sum: 8401af3bcc5b09baeb5ef5feefc31f57 Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-joblib Source: joblib Version: 0.13.2-1~nd19.04+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~nd19.04+1_all.deb Size: 192400 SHA256: f767f743eebc77ec6276690238b9a50bf936d1f5a6c8bb383061484c0396986f SHA1: f24157bf13226f9d95d2416e08f14191c17fade5 MD5sum: fd2a75128f1e501bded08c297b409c19 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-nibabel Source: nibabel Version: 2.4.0-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65816 Depends: neurodebian-popularity-contest, python-numpy, python-six (>= 1.3), python:any (<< 2.8), python:any (>= 2.7~), python-scipy, python-bz2file Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc, python-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.4.0-1~nd18.10+1+nd19.04+1_all.deb Size: 2646008 SHA256: 6f126a980a577435a6ca95e5f464d6a0d559dff48afe497738c05a7abde6a2af SHA1: 6ad034a262b4a02f43b21aeaa0edaac1232c204b MD5sum: 68a50ccb7332871f51486253d3f2b88e 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: 2.4.0-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9294 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_2.4.0-1~nd18.10+1+nd19.04+1_all.deb Size: 1486608 SHA256: b496cd26001fccc1a070ec8752f4a023fd236a5cde764e8269b1f136cf71626b SHA1: e383dcefcd7665e60c8a4abe603466ecbae73625 MD5sum: b29fc9bb18a159e39a5dba356603df7e 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-nipype Source: nipype Version: 1.1.9-1~nd18.10+1+nd19.04+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~nd18.10+1+nd19.04+1_all.deb Size: 1886988 SHA256: b2fa5893c7a47cb3028b353b9ad21f9e322ec9c9a28a1df8adffe65da0d3213b SHA1: b905223626b4373da5b0ae78663d3fe2130236c9 MD5sum: fa8310ca99a8a4f323ebcb10faa9a879 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~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39312 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~nd18.10+1+nd19.04+1_all.deb Size: 17907184 SHA256: 94c4f392175482894bd704d947b43779b36f552b3ca22a55d793c5ffd21b9eec SHA1: 4e0e95d2abfac71d77968b36f5d25e362628c476 MD5sum: 1f0c8d57254e7b84eddcb5f4971be2a3 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-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1+nd19.04+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+nd18.10+1+nd19.04+1_all.deb Size: 168432 SHA256: 10c338e9cb3a4ecc04dbcec81aa2cc80569e58f330e3a527c8156928d336ac10 SHA1: 21cd2faef986ffcee60eb62659f49710e375246e MD5sum: 24c4b4cecc31456aaa6f14a9513aaea7 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+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1204 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+nd18.10+1+nd19.04+1_all.deb Size: 344644 SHA256: 8c724e87b0f913c2369f055bc499009d22e6182fa21c7e421d753a786b2842d1 SHA1: 9a0c11f7e6d888c929fdaabe43c3bcd97a9dab3e MD5sum: b228c32c43fd02ef6a73da3cbd3a1a4f 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+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~) 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+nd18.10+1+nd19.04+1_all.deb Size: 83168 SHA256: 52afd4d641689128d9997f29bbd69dd486d3b282b8a0cddda7328d23e7a0b3bc SHA1: c8cb576ac711b7c8d26c0057df100f1530e1a1c3 MD5sum: 6cccaee9a56b8383dfc73bee2a1be7ef 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+nd18.10+1+nd19.04+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~) 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+nd18.10+1+nd19.04+1_all.deb Size: 117528 SHA256: a76c2e4007d84ebdf0492862132d0df8c84905404835033b216426775e59cbae SHA1: 246141abb162ac9066e06f46d3ada1629f0b0a95 MD5sum: 20f8bc709b7c2c272da728932a196ca3 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+nd18.10+1+nd19.04+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+nd18.10+1+nd19.04+1_all.deb Size: 4396716 SHA256: 489fd118871922c60892df4f6ef11873b560936429ee5e36b62140e5ef003788 SHA1: 45e2e7e94c0a7a59b8fabe8c0458922b7e20cef6 MD5sum: 73a46ce38cbc6fc06d6df478c6b1ce0f 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+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2842 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common (>= 0.4.3+dfsg) Breaks: python-dicom-doc (<< 1~) Replaces: python-dicom-doc (<< 1~) Provides: python-dicom-doc Homepage: https://pydicom.github.io Priority: optional Section: doc Filename: pool/main/p/pydicom/python-pydicom-doc_1.2.1-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 342644 SHA256: fde909eb1e0fb93647b26aaf7cf28269f41f45c181258a78d86d78d647864cee SHA1: a26c9a85f3377c55d50210f58ab94f5834d1e47e MD5sum: 569496b3bdbc9f0d54b299979f49abe7 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-pynwb Source: pynwb Version: 0.5.1-1~nd18.04+1+nd18.10+1+nd19.04+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~) Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python-pynwb_0.5.1-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 98176 SHA256: 77522f14f8fa7f3c4c213090f2e3887b9e16a2bdbdb74ecf22bc61ec10403d78 SHA1: 5516e82af319f2149d720d89346054f3bb6e7203 MD5sum: 106037446160c332ebbe59f83c9142ac 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-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+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~), 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+nd18.10+1+nd19.04+1_all.deb Size: 68344 SHA256: 068c448c1988096c6cf66a747d71f234d0b4d26d1a48e32f65dc1810a6d286d6 SHA1: 8a8459eedbf83f8052d3acba160f07ed8939f9b1 MD5sum: 58f18dcdf289693dd531cd737eb8aa5a 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+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 342 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+nd18.10+1+nd19.04+1_all.deb Size: 308760 SHA256: 33a42a9aa4e6e5d8554f5812a4add3c5c01305f9fd14e02f8536ba7338b9531e SHA1: aae18b3c88a0394cd658a2c3b343f8697c0be8b8 MD5sum: 43617a99fe4d0d442a8858807fd3a8e1 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: python3-datalad Source: datalad Version: 0.11.4-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4396 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180913~) | git-annex-standalone (>= 6.20180913~), patool, python3-appdirs, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners, python3-git (>= 2.1.6~), python3-humanize, python3-iso8601, python3-keyrings.alt | python3-keyring (<= 8), python3-secretstorage, python3-keyring, python3-mock, python3-msgpack, python3-pil, python3-requests, python3-simplejson, python3-six (>= 1.8.0), python3-tqdm, python3-wrapt, python3-boto, python3-chardet, python3:any Recommends: python3-exif, python3-github, python3-jsmin, python3-html5lib, python3-httpretty, python3-libxmp, python3-lzma, python3-mutagen, python3-nose, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, python3-bs4, python3-numpy, datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.11.4-1~nd18.10+1+nd19.04+1_all.deb Size: 916920 SHA256: 9d08044b95ed422508123b298ee518abb8a85a234c5d8a63548fa3f1a6b3031d SHA1: 5df4baedf7a3808fd4ec19eb10f578161ffb9ef3 MD5sum: 5c8fe4fadfd976bab84777b9daf66b6e Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-dcmstack Source: dcmstack Version: 0.7-1~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 186 Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3-pydicom, python3:any (>= 3.2~) Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python3-dcmstack_0.7-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 35520 SHA256: 01e131e4d384d78ff9f8350c3075e7291915a345e284715a7ed8744811e148a4 SHA1: d7bc81ff53b9e2748ff00e0f2ff7b5b10947bdc7 MD5sum: 7d2f2de6570d9f7c4724ffba8a7912e9 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+nd18.10+1+nd19.04+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+nd18.10+1+nd19.04+1_all.deb Size: 4996 SHA256: 84eec8e5bb1b408ef36c5414f2ecea53fc03be8706811190153aa70e82d3e756 SHA1: f33ee0014a55745536db6f02c16526723622a39e MD5sum: 53ee5a654a152acdeb07e217269cef9e Description: transitional package for python3-pydicom This is a transitional package. It can safely be removed. Package: python3-duecredit Source: duecredit Version: 0.7.0-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 248 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.7.0-1~nd18.10+1+nd19.04+1_all.deb Size: 53744 SHA256: 1231b775f6f385304e05c4abad906f601859ec99b2134931a49e691903220a9e SHA1: 15bb5837d306fccaeb1a8b4d436dc03db280054f MD5sum: 31a5de46a66a7c2cbff3e3727d6366c8 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-fsl Source: fslpy Version: 1.2.2-2~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+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 Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-2~nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 84428 SHA256: f77409b12129461188e570fa2f9ecca0497f2aeeb20d74369abd2256bcf42a35 SHA1: 2d99009f0e466fc51a88b3929fdc3202ba5796a3 MD5sum: d28140b10f50cc21fd548a35ddd46125 Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-joblib Source: joblib Version: 0.13.2-1~nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 870 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), procps Recommends: python3-numpy, python3-pytest, python3-simplejson, python3-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.13.2-1~nd19.04+1_all.deb Size: 189336 SHA256: 080fa35de92df8ae5daa16e5497ad681153dd54429187ed013ebee27e2f09783 SHA1: 04c46404a650855e7b7ee68d3efaae5822945f3e MD5sum: 27e7a768ba2fd292fa4989936375fcfb 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-nibabel Source: nibabel Version: 2.4.0-1~nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65801 Depends: neurodebian-popularity-contest, python3-numpy (>= 1.2), python3-six (>= 1.3), python3:any, python3-scipy Recommends: python3-dicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.4.0-1~nd18.10+1+nd19.04+1_all.deb Size: 2642508 SHA256: 48ddb304bdb7c33a0e0f6ab344a1a55e29b32b3bb9c0a85f3c30fd82b28eda29 SHA1: fc8bb4579c1ff4dff60e9832cf89a956f54de638 MD5sum: 6f03985e6a15d9110262eba5c21828f1 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-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 779 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.2~) Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.5.0+git13-g54dcf7b-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 168512 SHA256: ae27a875a73e1e16107903057a9957be176895497e7e5e82badefbefc94eab0e SHA1: 3fbc1d03cbde798b2a87361e34e6fd42b4a0dc1c MD5sum: 65f076cc2105cdb17a542cbc4d33359f 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+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14179 Depends: neurodebian-popularity-contest, python3:any Recommends: python3-numpy, python3-pil Suggests: python3-matplotlib, python3-gdcm Breaks: python3-dicom (<< 1~) Replaces: python3-dicom (<< 1~) Provides: python3-dicom Homepage: https://pydicom.github.io Priority: optional Section: python Filename: pool/main/p/pydicom/python3-pydicom_1.2.1-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 4397024 SHA256: 5345e39556503e5dde198f5c5c25828c8855487ee67cd012bb7fcac1aa21fbdb SHA1: 5db386357df03176d1dc0ea8a80a1d2028cc7f74 MD5sum: f10eb54ea77407ed894e03ab9bfc42bc 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-pynwb Source: pynwb Version: 0.5.1-1~nd18.04+1+nd18.10+1+nd19.04+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 Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_0.5.1-1~nd18.04+1+nd18.10+1+nd19.04+1_all.deb Size: 98268 SHA256: 335c1ffae7ce7593cd52a554b90faca09dd2f52aaf7fb04b3e6ef982d2da204b SHA1: 9a96927b1665877a6fd753eef378392c49328266 MD5sum: 281470bcc59f7a34c600ecd7a9035aa7 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-reprozip Source: reprozip Version: 1.0.14-1~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 171 Depends: neurodebian-popularity-contest, python3 (<< 3.8), python3 (>= 3.7~), python3-requests, python3-rpaths, python3-usagestats, python3-yaml, python3:any (>= 3.3~), libc6 (>= 2.7), libsqlite3-0 (>= 3.5.9) Multi-Arch: same Homepage: https://www.reprozip.org Priority: optional Section: python Filename: pool/main/r/reprozip/python3-reprozip_1.0.14-1~nd18.04+1+nd18.10+1+nd19.04+1_i386.deb Size: 46836 SHA256: 96e23721225298963c8b6e7fc35af5d746be160947782d5378f4503c954d3651 SHA1: aaa6db43713cc44be03711995903c5e786843d8e MD5sum: 6adebfd9a4aadf9e2aa9e83c2d990d1c 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+nd18.10+1+nd19.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 231 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.8), python3-dbg (>= 3.7~), python3-dbg:any (>= 3.3~), libc6 (>= 2.7), libsqlite3-0 (>= 3.5.9), python3-reprozip (= 1.0.14-1~nd18.04+1+nd18.10+1+nd19.04+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+nd18.10+1+nd19.04+1_i386.deb Size: 113580 SHA256: 4cc0d4a067f9e42f3df7d7f8335557ef76e73e4b1f532b5551bf1c42c099886d SHA1: 9f9ef57634e4c71cee56b72fd09456e256f9484f MD5sum: 96045853733ab0e26192b6d8e10a53e9 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: bb59cbfb204ea6ff1d479060d1b1bef31281c1d0 Package: python3-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1+nd17.04+1+nd17.10+1+nd18.04+1+nd18.10+1+nd19.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python3-urllib3 (>= 1.12), python3:any (>= 3.0~), 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+nd18.10+1+nd19.04+1_all.deb Size: 68176 SHA256: 795f0ea700788686182794eba01d84be3edacb38789981a263d8470059f7d7df SHA1: 416d264573f422f2bf77f6b328fcf3539643f90c MD5sum: ce1fe7290579d6d512b9effb5e04817f 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: rclone Version: 1.41-1~ndall0 Architecture: i386 Maintainer: Debian Go Packaging Team Installed-Size: 16874 Depends: libc6 (>= 2.3.6-6~) Built-Using: go-md2man (= 1.0.8+ds-1), golang-1.10 (= 1.10.3-1), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-github-a8m-tree (= 0.0~git20171213.cf42b1e-1), golang-github-abbot-go-http-auth (= 0.0~git20150714.0.46b9627-2), golang-github-aws-aws-sdk-go (= 1.12.79+dfsg-1), golang-github-azure-azure-sdk-for-go (= 10.3.0~beta-1), golang-github-azure-go-autorest (= 8.3.1-1), golang-github-coreos-bbolt (= 1.3.1-coreos.5-1), golang-github-davecgh-go-spew (= 1.1.0-4), golang-github-dgrijalva-jwt-go-v3 (= 3.1.0-2), golang-github-djherbis-times (= 1.0.1+git20170215.d25002f-1), golang-github-dropbox-dropbox-sdk-go-unofficial (= 4.1.0-1), golang-github-go-ini-ini (= 1.32.0-2), golang-github-google-go-querystring (= 0.0~git20170111.0.53e6ce1-4), golang-github-jlaffaye-ftp (= 0.0~git20170707.0.a05056b-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kardianos-osext (= 0.0~git20170510.0.ae77be6-5), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-mattn-go-runewidth (= 0.0.2+git20170510.3.97311d9-1), golang-github-ncw-go-acd (= 0.0~git20171120.887eb06-1), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-google-cloud (= 0.9.0-5), golang-goprotobuf (= 0.0~git20170808.0.1909bc2-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.41-1~ndall0_i386.deb Size: 4618876 SHA256: f3d9fca60ef0cfd3221be8ef088af8a9fc3a2a2c99955034fe6b29a9e18eb42e SHA1: 50b47feb7ce2f1441e1a5cef84f91ef20d1e104f MD5sum: 8c73c00b1e80467960cb535af6d6e58f Description: rsync for commercial cloud storage Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers: . - Google Drive - Amazon S3 - Openstack Swift / Rackspace cloud files / Memset Memstore - Dropbox - Google Cloud Storage - Amazon Drive - Microsoft One Drive - Hubic - Backblaze B2 - Yandex Disk Package: reprozip Version: 1.0.14-1~nd18.04+1+nd18.10+1+nd19.04+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+nd18.10+1+nd19.04+1_all.deb Size: 3732 SHA256: 88acfc836f10a220282650a4438d5e98b0925c7fbaf38361936178ceb0767ba7 SHA1: 68ee1cc3e818fb95ddc8e911288d0f509cdb4397 MD5sum: cb2e20acb8690ce40011ecfd3cf27fdd 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: singularity-container Version: 2.6.1-2~nd18.04+1+nd18.10+1+nd19.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2604 Depends: neurodebian-popularity-contest, python, squashfs-tools, ca-certificates, libarchive13 (>= 3.0.4), libc6 (>= 2.28) Recommends: e2fsprogs Homepage: http://www.sylabs.io Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.6.1-2~nd18.04+1+nd18.10+1+nd19.04+1_i386.deb Size: 330040 SHA256: 45167a9324fda10188cf487810b08c5669b0ac5aa9c681b29cc3ef80f0657bd4 SHA1: f3ebbf9bc01d880239665864f7916d21ac45b927 MD5sum: ea90a4d8ea1e12f9f93f7cdb182c5074 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.