Package: afni-atlases Source: afni-data Version: 0.20180120-1.1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 109419 Homepage: http://afni.nimh.nih.gov Priority: extra Section: science Filename: pool/main/a/afni-data/afni-atlases_0.20180120-1.1_all.deb Size: 98215048 SHA256: b7b30ce4345671d92cb08f939b76de42f81a6839abe3d47dba1db0620fe64e0c SHA1: 792d6506cc866acfa54fc71475f823e686f169f7 MD5sum: deaddf5e6992face9b5edeb62644187c Description: standard space brain atlases for AFNI AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provide AFNI's standard space brain templates in HEAD/BRIK format. Package: btrbk Version: 0.26.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 311 Depends: neurodebian-popularity-contest, perl, btrfs-progs (>= 3.18.2) | btrfs-tools (>= 3.18.2) Recommends: openssh-client, pv Homepage: http://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.26.0-1~nd100+1_all.deb Size: 85910 SHA256: 35e242cefcf18bff429bdf8c658be8c21cc48594c65f9527f63848070695a6db SHA1: 93272710757fb2429800f3631438f87661df9d87 MD5sum: b034bbc9abc4bb671f4a0392345cc5e6 Description: backup tool for btrfs subvolumes Backup tool for btrfs subvolumes, using a configuration file, allows creation of backups from multiple sources to multiple destinations, with ssh and flexible retention policy support (hourly, daily, weekly, monthly). Package: connectome-workbench Version: 1.3.1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 49728 Depends: neurodebian-popularity-contest, libc6 (>= 2.27), libftgl2 (>= 2.1.3~rc5), libgcc1 (>= 1:7), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.10.0), libqt5gui5 (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5opengl5 (>= 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: extra Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.3.1-1~nd100+1_i386.deb Size: 22728012 SHA256: debf693f47f6018c81f1e06665ce257878699ce17a5bed5dbae6516395f6fa81 SHA1: c18f936a82f4e2f7be0087f527e52532b6d99464 MD5sum: 54e3f59ad343bb91b1c391d549a71dcd Description: brain visualization, analysis and discovery tool Connectome Workbench is a brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. . Package includes wb_command, a command-line program for performing a variety of analytical tasks for volume, surface, and CIFTI grayordinates data. Package: connectome-workbench-dbg Source: connectome-workbench Version: 1.3.1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 199258 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.3.1-1~nd100+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.3.1-1~nd100+1_i386.deb Size: 197549408 SHA256: 8d24046f670a4dcaa5ac31d271d4d710d9c676469337eb4bf13677cece944aad SHA1: c8dc4f1efc39965fac01b7269b4f10b8f95f8084 MD5sum: f28b0189de93d65e6325989bd27dab0b 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: 534dcc9fc3ed190f1eb23287903ebd6ec1ff182e 9eca441121fd75edf4ee6df1d1b8f8fb544b69a1 Package: datalad Version: 0.10.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 121 Depends: neurodebian-popularity-contest, python3-datalad (= 0.10.2-1~nd100+1), python3-argcomplete, python3:any Suggests: datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.10.2-1~nd100+1_all.deb Size: 85560 SHA256: b4622f244545baa9beefdb6e4aff5140cd5681eeb0c0a0fc73ed8524893c7de2 SHA1: a8b842589976baaed0ddeea5175bd35d4e779085 MD5sum: 58d71272730ccef6e71b1179b46e660c 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: dcm2niix Version: 1:1.0.20180622-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 691 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libyaml-cpp0.5v5 Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20180622-1~nd100+1_i386.deb Size: 172460 SHA256: de895e6e5bcb9232a632ca00d50f311c75ecd29806d636d5056e589b9c485244 SHA1: 40215490b720b095ffff2cd4a76b6dfe93a6d316 MD5sum: 49a87ec7000e9a73f61570d5a673e4ef 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: 1:1.0.20180622-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 658 Depends: dcm2niix (= 1:1.0.20180622-1~nd100+1) Priority: optional Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20180622-1~nd100+1_i386.deb Size: 611364 SHA256: adf9967105773c6d938039512e27c9ec2ef575c75c21692698097f7cb52c3bc9 SHA1: de6f7a8a6dff8908aab59b721ccb5e00ef30bc3d MD5sum: 57a13b6e81bfd8a2c09b2a9cbf429f33 Description: debug symbols for dcm2niix Build-Ids: c16f2c64953232d8444c7b2ec9614e80caef3432 c98be00d6a01db441e8cfddc614b03e2f603cf9d Package: fsleyes Version: 0.15.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239787 Depends: neurodebian-popularity-contest, python-fsl, python-fsleyes-props, python-fsleyes-widgets, python-wxgtk3.0, python-six (>= 1.0~), python-jinja2, python-scipy, python-matplotlib, python-numpy, python-opengl (>= 3.1~), python-nibabel, python-pil, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: science Filename: pool/main/f/fsleyes/fsleyes_0.15.2-1~nd100+1_all.deb Size: 26727496 SHA256: aa8cd7cacddf4a0ab2933e6330594da4a0c95954ffffa3c6974ac33a79c8cf27 SHA1: 13e9bd1338ee233a179ba809a075961b5fd10326 MD5sum: 8bb360750b3746266edc141788eed30c Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: gifti-bin Source: gifticlib Version: 1.0.9-2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libexpat1 (>= 2.0.1), libgiftiio0, libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: utils Filename: pool/main/g/gifticlib/gifti-bin_1.0.9-2~nd100+1_i386.deb Size: 23688 SHA256: 6c4e4a73290e10c9dfd2cdd1b210dfea2f24b5e6a71f56b485a5de9e0930086c SHA1: 7c61e06de317876d1332c3f4d36b973ae4fae2dc MD5sum: 029171f4646e8c5bcc1d0e3bf5bb6924 Description: tools shipped with the GIFTI library GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the tools that are shipped with the library (gifti_tool and gifti_test). Package: gifti-bin-dbgsym Source: gifticlib Version: 1.0.9-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: gifti-bin (= 1.0.9-2~nd100+1) Priority: optional Section: debug Filename: pool/main/g/gifticlib/gifti-bin-dbgsym_1.0.9-2~nd100+1_i386.deb Size: 3820 SHA256: 9269b78381e1343553ddd22864a90ac57b3f33b2fb75f36177f417132e456bf8 SHA1: 1c1b3c7abe6aa02ca15161cecfc21de7651a97fb MD5sum: 05368fcdcbdf186d11f3ccdbada67e1b Description: debug symbols for gifti-bin Build-Ids: 0511ec70dde957843d7a5408cd5b4b0b97f86259 a8a88271c6ef50c170cf74f2224b02055c5cdbd2 Package: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 35048 Pre-Depends: dpkg (>= 1.17.13) Depends: neurodebian-popularity-contest, libc6 (>= 2.16), libcurl3-gnutls (>= 7.16.2), libexpat1 (>= 2.0.1), libpcre2-8-0, zlib1g (>= 1:1.2.0), perl, liberror-perl, git-man (>> 1:2.14.1), git-man (<< 1:2.14.1-.) Recommends: patch, less, ssh-client Suggests: gettext-base, git-daemon-run | git-daemon-sysvinit, git-doc, git-el, git-email, git-gui, gitk, gitweb, git-cvs, git-mediawiki, git-svn Breaks: bash-completion (<< 1:1.90-1), cogito (<= 0.18.2+), git-buildpackage (<< 0.6.5), git-core (<< 1:1.7.0.4-1.), gitosis (<< 0.2+20090917-7), gitpkg (<< 0.15), gitweb (<< 1:1.7.4~rc1), guilt (<< 0.33), stgit (<< 0.15), stgit-contrib (<< 0.15) Replaces: git-core (<< 1:1.7.0.4-1.), gitweb (<< 1:1.7.4~rc1) Provides: git-completion, git-core Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git_2.14.1-3+nd0~nd100+1_i386.deb Size: 5152614 SHA256: faa9b6ee2af345e042ffe8e84186157f1ad7fbad8d78f2f923edbe4234fd9bab SHA1: 12f79f8747053bc526f1fa0e71c5038c9a30b042 MD5sum: c5f78f06af9b31f22ec0c40a6cd7cbad Description: fast, scalable, distributed revision control system Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git main components with minimal dependencies. Additional functionality, e.g. a graphical user interface and revision tree visualizer, tools for interoperating with other VCS's, or a web interface, is provided as separate git* packages. Package: git-all Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 710 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), git-doc, git-el, git-cvs, git-mediawiki, git-svn, git-email, git-gui, gitk, gitweb Recommends: git-daemon-run | git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-all_2.14.1-3+nd0~nd100+1_all.deb Size: 709290 SHA256: 07b5db19c4a38a02979d183cfdb1ae9eab573e10be427d14fa762a4d25ce1213 SHA1: f895c292300310da61f611116772e0d605a56e44 MD5sum: 1360fad07ecf231d20615d86b7977abf Description: fast, scalable, distributed revision control system (all subpackages) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This is a dummy package which brings in all subpackages. Package: git-annex-remote-rclone Version: 0.5-1~ndall+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1_all.deb Size: 7842 SHA256: 0b1d65c740ce1073ecdae6db121d304fe02c4bb95df552326894118a65b38319 SHA1: 34a2323c4387e61c4a69617150c463f9a7b772c5 MD5sum: 00c5a0407a998eba72d4f5eb0ad71189 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 6.20180626+gitg12cd64369-1~ndall+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 173100 Depends: git, 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 (<= 0.9.1) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_6.20180626+gitg12cd64369-1~ndall+1_i386.deb Size: 64934388 SHA256: 2ad95bf3698436f58dd4ad56db6515a9bbdee57c68007e502c22e3a36eccba41 SHA1: 7d18133c06d8705e5c8d8e79c0bc5d171268bb93 MD5sum: ab2c9799ba91135f1b0adbf0623438af Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with a dozen cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: git-core Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8 Depends: neurodebian-popularity-contest, git (>> 1:1.7.0.2) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-core_2.14.1-3+nd0~nd100+1_all.deb Size: 1438 SHA256: 13bf22417ecc8cec3d7d273a8ca840b9dc9de8009fb1b692ac200dd0b263f699 SHA1: 2dd4cdec7a1767ce4de1b031a4ff0dbea62f12a0 MD5sum: e58cd20daf94ad8f4199135fef2a653d Description: fast, scalable, distributed revision control system (obsolete) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This is a transitional dummy package. The 'git-core' package has been renamed to 'git', which has been installed automatically. This git-core package is now obsolete, and can safely be removed from the system if no other package depends on it. Package: git-cvs Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1091 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), cvsps, libdbd-sqlite3-perl Suggests: git-doc, cvs Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-cvs_2.14.1-3+nd0~nd100+1_all.deb Size: 772470 SHA256: f5e9a0b9b24be9333021b7521d987548ccdfabe2597bc8a8c73cff581998ac9b SHA1: c837049edbbf4959ae7afd104c4d0b3f3e09b617 MD5sum: 6231448041d51b502f2ff56111e4ff8c Description: fast, scalable, distributed revision control system (cvs interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git cvsimport, cvsexportcommit, and cvsserver tools, which allow Git to read from and write to CVS repositories and offer access over CVS protocol to Git repositories. . The git cvsimport tool can incrementally import from a repository that is being actively developed and only requires remote access over CVS protocol. Unfortunately, in many situations the import leads to incorrect results. For reliable, one-shot imports, cvs2git from the cvs2svn package or parsecvs may be a better fit. Package: git-daemon-run Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 722 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), runit, adduser Conflicts: git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-daemon-run_2.14.1-3+nd0~nd100+1_all.deb Size: 710936 SHA256: 12d569a037ab1f2b283f0035e22ecd6856635c9bf7221c293c100fba0dd2c556 SHA1: 376533153bb9685651364274a2eddc04430d2904 MD5sum: e3578e9bd7a4c03e0a4bd2aac1b1bbd6 Description: fast, scalable, distributed revision control system (git-daemon service) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . git-daemon, as provided by the git package, is a simple server for git repositories, ideally suited for read-only updates, i.e. pulling from git repositories through the network. This package provides a runit service for running git-daemon permanently. This configuration is simpler and more reliable than git-daemon-sysvinit, at a cost of being less familiar for administrators accustomed to sysvinit. Package: git-daemon-sysvinit Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 725 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), adduser, lsb-base (>= 3.0-6) Conflicts: git-daemon-run Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-daemon-sysvinit_2.14.1-3+nd0~nd100+1_all.deb Size: 712054 SHA256: 3cab612dada663c7fb4a793dd41e947d9f8d7179c5db5c9e10eb4dcc9f7e9927 SHA1: ef41ae9d35db9630c26dc1c2df42032326d6f533 MD5sum: 01d8eb217e8382ff9931a2c99446bc35 Description: fast, scalable, distributed revision control system (git-daemon service) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . git-daemon, as provided by the git package, is a simple server for git repositories, ideally suited for read-only updates, i.e. pulling from git repositories through the network. This package provides a sysvinit service for running git-daemon permanently. Unlike git-daemon-run, this package provides the usual sysvinit service management commands ("service git-daemon start/stop") for git-daemon. Package: git-dbgsym Source: git Version: 1:2.14.1-3+nd0~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 30739 Depends: git (= 1:2.14.1-3+nd0~nd100+1) Priority: extra Section: debug Filename: pool/main/g/git/git-dbgsym_2.14.1-3+nd0~nd100+1_i386.deb Size: 28778522 SHA256: 47f69e755723a600107b91ddefd55edc640ba4d75f19201b91e6c5cc1791fc0a SHA1: 8e2a6f3f1f4d55825f7c142865a581cc0d412dfd MD5sum: 1c77a30d21d0232ee1417cde379bcbf2 Description: Debug symbols for git Build-Ids: 373ecc1e3fef7482c15f12a4f160e9b0543947f4 3da7cc767f3d432a8a7cfdd84876beb4cf638c5c 4415201ba4ed06d4c37391974e109220bee6a367 4ca56a911680acce519a9cb78ba4ca3a30759d2f 5f2f1c68178805ca19c4a34d18f9c59074a062f3 8802f1e3737fca104618b80f5c39e030270f7674 8c7fca4f11bcbc78ff997956d63d9f32d4406824 8c7fca4f11bcbc78ff997956d63d9f32d4406824 9c8016b830d4d0272e10f3424c793b7018265690 a111d8f1cdf95e0524abf5d45e48db2c9a9c5ee6 a6b785fa0c59af03cd53f07a2328cedbd563b9e5 bc1639f1996a8608ab45174fa97f82124e0b3c4b c595920edc82e6405ba73b6a58c86cd3fce6dee2 cae4ce5a8aecbb3948f93cffcb4265b47757e3d7 d2b0ab122a02aa19ef7dbd794f64d06c9f599eb4 d2b0ab122a02aa19ef7dbd794f64d06c9f599eb4 e007549d5f63b0d0683a2121200da9f21ba44c50 e007549d5f63b0d0683a2121200da9f21ba44c50 f81abcc915f8adce67fef295cb5409f26b7ae524 Package: git-doc Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10519 Depends: neurodebian-popularity-contest Suggests: git, git-cvs, git-svn, git-email, gitk, gitweb Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: doc Filename: pool/main/g/git/git-doc_2.14.1-3+nd0~nd100+1_all.deb Size: 1585906 SHA256: 2230bee85d6b29467c88498c56f40a23a19cd5e27cd3c8c84618f2ec377fcff6 SHA1: 1b6d6b5daaaa0724c6584d146c346f00ae1cacc9 MD5sum: 7e58017869e7f90258ad9639455a09c5 Description: fast, scalable, distributed revision control system (documentation) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the documentation. Package: git-el Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 817 Depends: neurodebian-popularity-contest, git (>= 1:1.7.4.1-2~), emacs | emacsen Breaks: git (<< 1:1.7.4.1-2~) Replaces: git (<< 1:1.7.4.1-2~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-el_2.14.1-3+nd0~nd100+1_all.deb Size: 728872 SHA256: 9a0d9683fc4d86719841d1d04a955d226b882b6f90e4ed793a1f321e02b0192c SHA1: ea6e96fbeaad6fe19df0f273477e028a48d6263c MD5sum: 157f4fe3578647fa42c90e811b8dabd2 Description: fast, scalable, distributed revision control system (emacs support) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides two modules for integration with Emacs: . * git.el: . Status manager that displays the state of all the files of the project and provides easy access to the most frequently used git commands. The user interface is intended to be similar to the pcl-cvs mode. It can be started with `M-x git-status'. . * git-blame.el: . Emacs implementation of incremental "git blame". When you turn it on while viewing a file, the editor buffer will be updated by setting the background of individual lines to a color that reflects which commit it comes from. . This package does not contain the VC-mode backend for git. That is part of standard Emacs distributions, starting with version 22.2. . For a more polished Emacs interface for Git, see the magit package. Package: git-email Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 775 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.) Recommends: libemail-valid-perl, perl (>> 5.21.5) | libnet-smtp-ssl-perl, libauthen-sasl-perl, libio-socket-ssl-perl (>= 1.951) Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-email_2.14.1-3+nd0~nd100+1_all.deb Size: 732944 SHA256: 3756b55710ee66a2981c63046e1d4624e3e5e99a8e2a5877a4df4b717e5fe7e8 SHA1: 055634b2c0ed3dd0ee4b5d67c9168c092ea3b4c5 MD5sum: ccbf370a782b3b17eeebf302308e8ce4 Description: fast, scalable, distributed revision control system (email add-on) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git-send-email program for sending series of patch emails. Package: git-gui Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2185 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), tk Recommends: gitk Suggests: git-doc, aspell Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-gui_2.14.1-3+nd0~nd100+1_all.deb Size: 918816 SHA256: da493de86bbb62d3f7e42bb8fabe4d0104e22c45027017715480a838d22ea510 SHA1: 18ad6128eb4c94282c3e258855609e2aac0b5025 MD5sum: efb7a39fcd97e486bc133b836d3e4c57 Description: fast, scalable, distributed revision control system (GUI) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the git graphical user interface. . If aspell is installed, it can check the spelling of commit messages as the user types. Package: git-man Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1537 Depends: neurodebian-popularity-contest Breaks: git (<< 1:1.7.4~rc1) Replaces: git (<< 1:1.7.4~rc1), git-core (<< 1:1.7.0.4-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: doc Filename: pool/main/g/git/git-man_2.14.1-3+nd0~nd100+1_all.deb Size: 1490768 SHA256: 60768c43ceeb870014471d13a22f3c6f9996ec4ee0773fe6b593e58fed57bdad SHA1: bfaafc6fd84f26962464848ef24237f480ef8731 MD5sum: 42d0c986fc290aa8da99bc67491cda85 Description: fast, scalable, distributed revision control system (manual pages) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides reference documentation for use by the 'man' utility and the 'git help' command. Package: git-mediawiki Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 768 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), libmediawiki-api-perl (>= 0.39), liblwp-protocol-https-perl, libdatetime-format-iso8601-perl Suggests: mediawiki Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-mediawiki_2.14.1-3+nd0~nd100+1_all.deb Size: 725034 SHA256: 8b3868d65dd049b699ca919e7dcb67dee520cf0e5be1e19f76fe327fcf826d44 SHA1: 2900528438f76befe214ea7c665e072f935e6e4c MD5sum: b91ef7c4db135e294e8ddefa4a614199 Description: fast, scalable, distributed revision control system (MediaWiki remote helper) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the mediawiki remote helper, which allows Git to read from and write to a wiki such as Wikipedia as though it were a remote Git repository, and a 'git mw' command that can show a preview of how wiki markup will be rendered before pushing. Package: git-svn Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 970 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), libsvn-perl, libyaml-perl, libterm-readkey-perl Suggests: git-doc, subversion Breaks: git (<< 1:1.8.3~rc1-1.) Replaces: git (<< 1:1.8.3~rc1-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-svn_2.14.1-3+nd0~nd100+1_all.deb Size: 795166 SHA256: f755d38a86700c5a0f553673a04ee999771e5a5eb572f840f350232b084eadf2 SHA1: fb1becb6cadf5d1f9d8257918265b4d05e2ce88c MD5sum: 416543b80967f0b0fcb3fb64c538dd8d Description: fast, scalable, distributed revision control system (svn interoperability) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides tools for interoperating with Subversion repositories, and importing SVN development history. Package: gitk Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1458 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), tk Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitk_2.14.1-3+nd0~nd100+1_all.deb Size: 839752 SHA256: 840ffc4b786104116f897d111cf15c45f295c0007ad45a9e425f819992218609 SHA1: bc8c8b621eac67530fea03d7c203104e7c088855 MD5sum: a943adebb28a641b4e5469d3a52cc6bb Description: fast, scalable, distributed revision control system (revision tree visualizer) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package provides the gitk program, a tcl/tk revision tree visualizer. Package: gitweb Source: git Version: 1:2.14.1-3+nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 732 Depends: neurodebian-popularity-contest, git (>> 1:2.14.1), git (<< 1:2.14.1-.), perl, libcgi-pm-perl Recommends: apache2 (>= 2.4.6-4~) | lynx-cur | httpd, libhttp-date-perl | libtime-modules-perl Suggests: httpd-cgi | libcgi-fast-perl, git-doc Breaks: apache2.2-common (<< 2.3~) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitweb_2.14.1-3+nd0~nd100+1_all.deb Size: 713602 SHA256: 52ef875e16d42d96d83690d4681cd9a13d2332568b4501e331369e9059aca6b3 SHA1: 183d2626a7a22854c335979e1c4e9eb58d565209 MD5sum: 66e297e14e3f97fcff4ffdbbcfff241c Description: fast, scalable, distributed revision control system (web interface) Git is popular version control system designed to handle very large projects with speed and efficiency; it is used for many high profile open source projects, most notably the Linux kernel. . Git falls in the category of distributed source code management tools. Every Git working directory is a full-fledged repository with full revision tracking capabilities, not dependent on network access or a central server. . This package configures a web interface for browsing git repositories. . If apache2 is installed, the web interface is automatically made available at http://localhost/gitweb. Other servers that support CGI or mod_perl are supported through manual configuration. . If libcgi-fast-perl is installed, gitweb can also be run over FastCGI (and served by nginx, for example). Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: heudiconv Version: 0.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 201 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_0.5-1~nd100+1_all.deb Size: 49584 SHA256: bc3b7c9a392b8f7cc4284e8053b541e26a4690415c6662be0c96c6fd6c2c8179 SHA1: 194f3af88395b4132fae7c9dc84a6868888d1398 MD5sum: a1a040ea8cff47e203cd1f8d70c64a56 Description: DICOM converter with support for structure heuristics This is a flexible dicom converter for organizing brain imaging data into structured directory layouts. It allows for flexible directory layouts and naming schemes through customizable heuristics implementations. It only converts the necessary dicoms, not everything in a directory. It tracks the provenance of the conversion from dicom to nifti in w3c prov format. Package: htcondor-doc Source: condor Version: 8.6.8~dfsg.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6226 Depends: neurodebian-popularity-contest Breaks: condor-doc (<< 8.0.5~) Replaces: condor-doc (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: doc Filename: pool/main/c/condor/htcondor-doc_8.6.8~dfsg.1-1~nd100+1_all.deb Size: 1087168 SHA256: af43decd2d983deba34ff8a7c1001c7b0e5095b637b73f54f646b0e2c8124d45 SHA1: c8627c789c55859bbb2a0beb13e70523d0f3f5f8 MD5sum: 31097e9b3639054503c5b5c90bf87dd9 Description: distributed workload management system - documentation Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides HTCondor's documentation in HTML and PDF format, as well as configuration and other examples. Package: impressive Version: 0.12.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 474 Depends: neurodebian-popularity-contest, python, python-pygame, python-pil, mupdf-tools (>= 1.5) | xpoppler-utils Recommends: mplayer, ffmpeg, pdftk, perl, xdg-utils Suggests: ghostscript, latex-beamer Conflicts: keyjnote (<< 0.10.2r-0) Replaces: keyjnote (<< 0.10.2r-0) Provides: keyjnote Homepage: http://impressive.sourceforge.net/ Priority: optional Section: x11 Filename: pool/main/i/impressive/impressive_0.12.0-1~nd100+1_all.deb Size: 190564 SHA256: a8736010962f01e43ceb2646d21da7d5fe253f86c72df3419e3e65703111fe72 SHA1: f056d19d8fdb2167d62cdd9a56bad387a0ec3a07 MD5sum: 89a3109495bfb3dc17ac8dc11c5deafb Description: PDF presentation tool with eye candies Impressive is a program that displays presentation slides using OpenGL. Smooth alpha-blended slide transitions are provided for the sake of eye candy, but in addition to this, Impressive offers some unique tools that are really useful for presentations. Some of them are: * Overview screen * Highlight boxes * Spotlight effect * Presentation scripting and customization * Support of movies presentation * Active hyperlinks within PDFs Package: isympy-common Source: sympy Version: 1.1.1-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 222 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_1.1.1-4~nd100+1_all.deb Size: 189772 SHA256: e3084ee172aa36faa0f6062be956b00db74f1f8933cf932545310e600927a727 SHA1: 9289176adf24d1ce8509a00a0e428beb3e97f174 MD5sum: c0908a061287e8de921fad0e0657f877 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: 1.1.1-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20 Depends: neurodebian-popularity-contest, isympy-common, python3-sympy Recommends: ipython3 Provides: isympy Homepage: http://sympy.org/ Priority: optional Section: python Filename: pool/main/s/sympy/isympy3_1.1.1-4~nd100+1_all.deb Size: 7796 SHA256: f46c60c13c29d07238a557020833b944777c7853efcfb9ac52061cff3394e07e SHA1: b8a16dd655220377f5c82505ebe7cf2e2613e60a MD5sum: 818447d6f3d38c5321cd3d777d18e3ff Description: Python3 shell for SymPy SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains a Python3 shell (IPython shell if you have the ipython3 package installed) wrapper for SymPy. Package: libgiftiio-dev Source: gifticlib Version: 1.0.9-2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 193 Depends: neurodebian-popularity-contest, libgiftiio0 (= 1.0.9-2~nd100+1), libnifti-dev Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libdevel Filename: pool/main/g/gifticlib/libgiftiio-dev_1.0.9-2~nd100+1_i386.deb Size: 49592 SHA256: 27229f813db1ba0f444e096b5dd140ec2e3d85b2ba3ffa3a760241d24e27da99 SHA1: d45747791fb03a418a489fcd429bd019d65f072b MD5sum: 922d7f37adcd3e3f54ed36aa26ca9385 Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the header files and static library. Package: libgiftiio0 Source: gifticlib Version: 1.0.9-2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), libexpat1 (>= 2.0.1), libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libs Filename: pool/main/g/gifticlib/libgiftiio0_1.0.9-2~nd100+1_i386.deb Size: 44480 SHA256: 2bdfd3f59375cda8a0017b64321c34c9963ca1c87a56ea3219f710d1ed8dc287 SHA1: 8315a0facd1b5773ce0a3a26f927a09c16b347ca MD5sum: ca9219ce627ad0e61195550eca1c3bb6 Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package contains the shared library. Package: libgiftiio0-dbgsym Source: gifticlib Version: 1.0.9-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: libgiftiio0 (= 1.0.9-2~nd100+1) Priority: optional Section: debug Filename: pool/main/g/gifticlib/libgiftiio0-dbgsym_1.0.9-2~nd100+1_i386.deb Size: 5436 SHA256: 347a3e1126aa7278da0afd6e5735bc5b4190a88de3403ad36c87736a8a408d59 SHA1: 7a57a8a2360893c5d0a5c641f8362b34a75097b8 MD5sum: 9390eb53bdc05ef1d487d32b7deb1cdd Description: debug symbols for libgiftiio0 Build-Ids: b9eeb4e028cac9d6debbc7861c3a56c99d4d9b13 Package: libvw-dev Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12939 Depends: neurodebian-popularity-contest, libvw0 (= 8.6.1.dfsg1-1~nd100+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: libdevel Filename: pool/main/v/vowpal-wabbit/libvw-dev_8.6.1.dfsg1-1~nd100+1_i386.deb Size: 1571284 SHA256: b0cf88a4ecc0422aca75627ff32d6d7cc0287fc7a6a596820e481dd587594e99 SHA1: 74fda04757e5b23a510409340ea08b74be2cca0f MD5sum: 2fef047363230a6a8b7e4ae7688fecef Description: fast and scalable online machine learning algorithm - development files Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains development files needed to compile and link programs which use vowpal-wabbit's libraries. Package: libvw0 Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3315 Depends: neurodebian-popularity-contest, libboost-program-options1.62.0, libc6 (>= 2.27), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Homepage: http://hunch.net/~vw/ Priority: optional Section: libs Filename: pool/main/v/vowpal-wabbit/libvw0_8.6.1.dfsg1-1~nd100+1_i386.deb Size: 924880 SHA256: 0ea41db1a7820e9d95a7d8e532256217ed2c2baacf09861d28ebb6050f17d137 SHA1: 5312851059ca4e0558ca87d24dfb617bbc2b79fb MD5sum: 294c6def804bfcacd36bdf5632360755 Description: fast and scalable online machine learning algorithm - dynamic library Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains vowpal-wabbit's dynamic libraries. Package: nuitka Version: 0.5.31+ds-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7059 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python-appdirs | base-files (<< 7.2), python3-appdirs | base-files (<< 7.2), python-dev (>= 2.6.6-2), python3-dev, python3:any (>= 3.3.2-2~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-lxml (>= 2.3), python-pyqt5, strace, chrpath Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.5.31+ds-1~nd100+1_all.deb Size: 742760 SHA256: 9d084eea75f6b1294acbd00f063b2d1f2c5275b4062571bafe966a96da9648aa SHA1: aa1c41f810ed67d7178871ffcd4347cc2ad6c5ea MD5sum: f492a71220e996200937e633eac9e802 Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.14.20180526.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4290 Depends: neurodebian-popularity-contest, octave (>= 4.2.2), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.12), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:3.0), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgomp1 (>= 4.2.1), libgstreamer-plugins-base1.0-0 (>= 1.0.0), libgstreamer1.0-0 (>= 1.0.0), liboctave4, libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libstdc++6 (>= 4.1.1), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1, libxcb-dri3-0, libxcb1, libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxml2 (>= 2.6.27), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.14.20180526.dfsg1-1~nd100+1), psychtoolbox-3-lib (= 3.0.14.20180526.dfsg1-1~nd100+1) Recommends: octave-audio, octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.14.20180526.dfsg1-1~nd100+1_i386.deb Size: 855488 SHA256: 32a18f2a05a960d5760811945baabf478d72373926776a2b5a0237f0eea1f429 SHA1: 1e8edd8177799b9bf92da6d29ca2dadd109fa480 MD5sum: 1c250e1e2bd2484e8382dfb51305b444 Description: toolbox for vision research -- Octave bindings Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . See also http://www.psychtoolbox.org/UsingPsychtoolboxOnUbuntu for additional information about systems tune-up and initial configuration. . This package contains bindings for Octave. Package: patool Version: 1.12-3+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: file Suggests: arj, bzip2 | lbzip2 | pbzip2, cabextract | lcab, ncompress, cpio | bsdcpio, lzop, p7zip-full, rar | unrar | zip | unzip, rpm2cpio, binutils, lha, unace | unace-nonfree | nomarch, unalz, lrzip (>= 0.551), tar (>= 1.26) | bsdtar, xdms, orange, lzip | plzip | clzip | pdlzip, sharutils, flac, archmage, genisoimage, python-argcomplete Homepage: http://wummel.github.io/patool/ Priority: optional Section: utils Filename: pool/main/p/patool/patool_1.12-3+nd1~nd100+1_all.deb Size: 37380 SHA256: ea6ce2e19856da4fddccd0842d7503abf3ede3ae43b13665dbead8dadd21ad68 SHA1: 4c8fc00a771d538d752300982947bce0cd8acdba MD5sum: 7496ce2ca5630d264e2765e27d22c710 Description: command line archive file manager Various archive formats can be created, extracted, tested, listed, compared, searched and repacked by patool. The archive format is determined with file and as a fallback by the archive file extension. . patool supports 7z (.7z), ACE (.ace), ADF (.adf), ALZIP (.alz), AR (.a), ARC (.arc), ARJ (.arj), BZIP2 (.bz2), CAB (.cab), compress (.Z), CPIO (.cpio), DEB (.deb), DMS (.dms), FLAC (.flac), GZIP (.gz), ISO (.iso), LZH (.lha, .lzh), LZIP (.lz), LZMA (.lzma), LZOP (.lzo), RAR (.rar), RPM (.rpm), RZIP (.rz), SHAR (.shar), SHN (.shn), TAR (.tar), XZ (.xz), ZIP (.zip, .jar) and ZOO (.zoo) formats. . It relies on helper applications to handle those archive formats (for example bzip2 for BZIP2 archives). . The archive formats TAR, ZIP, BZIP2 and GZIP are supported natively and do not require helper applications to be installed. Package: psychopy Version: 1.85.3.dfsg-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15994 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-opencv, python-imaging, python-serial, python-pyo, python-psutil, python-requests, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libxxf86vm1, ipython, python-future Suggests: python-iolabs, python-pyxid, libavbin0 Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.85.3.dfsg-1~nd100+1_all.deb Size: 6666356 SHA256: 501be7b5d955e73a73fcc0cc523a542e2b9855a7d9efedfd5e7870c7e53d1522 SHA1: 1faf53e1e15af8a16d1a4719a3f15e3d4e5a1aa2 MD5sum: 7b6d3d65bf52fd741280b91b52cd2f82 Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.14.20180526.dfsg1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 253835 Depends: neurodebian-popularity-contest Recommends: alsa-utils Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.14.20180526.dfsg1-1~nd100+1_all.deb Size: 24276540 SHA256: 941a4475a25dfc474a985d22bc8c8eba4f8d10091c6470ede84481f0895409ca SHA1: 92e2efb3814a417cb4f1c9f41f7c7d8d35ed51a0 MD5sum: 27cc3df3058a893086f8c20d848cb926 Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: psychtoolbox-3-dbg Source: psychtoolbox-3 Version: 3.0.14.20180526.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 18435 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.14.20180526.dfsg1-1~nd100+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.14.20180526.dfsg1-1~nd100+1_i386.deb Size: 1263948 SHA256: 948a806be91dcf3b1e81f982006ba90ec3d7bf7e1b3cb2b1ecabb7652877b329 SHA1: 58d9cea5bb3772f016e8b70a862f572937cddc0a MD5sum: f794e1af79223cc6122a0420d9b35bf1 Description: toolbox for vision research -- debug symbols for binaries Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . To ease debugging and troubleshooting this package contains debug symbols for Octave bindings and other binaries. Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.14.20180526.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 177 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5) Recommends: gstreamer1.0-plugins-base, gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.14.20180526.dfsg1-1~nd100+1_i386.deb Size: 74512 SHA256: 41ec7ff076f7747eaedf889e051381235e317f5d79ae8032c4cef05cd775de86 SHA1: 47e2e6299948df40fb031cc783ffff4347b86ea0 MD5sum: 4011bbda40b551aba15518f2aace0b92 Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: pypy-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, pypy Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/pypy-json-tricks_3.11.0-1~nd100+1_all.deb Size: 19024 SHA256: 709d887281049d7b85ea050c05dc2a50dcfa6b11c05d1182f77750baf47c7ba0 SHA1: 37a98fbae6cfd1a8c4e479873857f93309992b75 MD5sum: 705a5fa9004f128f563934ce5012b49b Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: pypy-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, pypy Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/pypy-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14650 SHA256: 76fdeb72716499c4357486c73e1a178d3605b98757ec12dbaf0c6c16088fe518 SHA1: 769f10e69f65697be25a312a5d4a262c7f658d39 MD5sum: eb23aaa893aa6184e71f86efa5279af6 Description: Python 2 and 3 compatibility library (PyPy interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the PyPy module path. It is complemented by python-six and python3-six. Package: python-boto Version: 2.44.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Provides: python2.7-boto Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python-boto_2.44.0-1~nd100+1_all.deb Size: 739672 SHA256: f89652b2bc2804fa9d8c00d9178837e68dc41d267695af38f087ae9ef87af067 SHA1: 19f010e86b66d5d04e72b9aa9b84eb4d2379bf3a MD5sum: fcaeee51e2b238b07d7ebae004f7f72b Description: Python interface to Amazon's Web Services - Python 2.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 2.x module. Package: python-chardet Source: chardet Version: 3.0.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python-chardet_3.0.4-1~nd100+1_all.deb Size: 80396 SHA256: cfdb639d4027edd28db73da5a2bfc3e9af9e93f313397722b8ac4dfa580cc95a SHA1: 5403e92e3264577bf3c9810eb176390a9fcc9ed1 MD5sum: edb727b1d260695644fb9835d55d77f1 Description: universal character encoding detector for Python2 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. Package: python-datalad Source: datalad Version: 0.10.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4176 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180509~) | git-annex-standalone (>= 6.20180509~), 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 (>= 2.7.5-5~) 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_0.10.2-1~nd100+1_all.deb Size: 865904 SHA256: 49f4529ce435031f572181a706c3b15dbd4b887f39dee821e912ae5031d303de SHA1: b9c96a5195feda37676732b8b708f51110266f49 MD5sum: 7ed06b757b4608594dd7a938dd9d5c9c 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: 0.6.2+git36-gc12d27d-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 496 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: python Filename: pool/main/d/dcmstack/python-dcmstack_0.6.2+git36-gc12d27d-1~nd100+1_all.deb Size: 75120 SHA256: 773309ae78fbc02bffa4b6b87bb10748a4b0cba74fdaca6a6fac2c83979d5d65 SHA1: ad39cb6f1cc8d663a6b633f63dac597e206aa768 MD5sum: 779a2c61a82ac439f1e28c83c52942ef Description: DICOM to NIfTI conversion DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python package, and command line tools (dcmstack, and nitool), as well as the documentation in HTML format. Package: python-deprecation Version: 1.0.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python-deprecation_1.0.1-1~nd100+1_all.deb Size: 8510 SHA256: 904e099f90b7871c149adbd3d7be35e8e3c9098be821c339ef1aff04faec03d2 SHA1: 92c0e437c4fd51cde8ffb52c35c6fd0a88152393 MD5sum: 0588bedde980f3c0c12eb56df1e933da Description: Library to handle automated deprecations - Python 2.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 2.x module. Package: python-dicom Source: pydicom Version: 1.1.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python-dicom_1.1.0-2~nd100+1_all.deb Size: 4752 SHA256: 0b96dfc019cff010fa98557ee613597c23d79e6dda72de0515b48d74fef35c26 SHA1: 25aaaad54524d88c65acfcec3684440351fdb7ef MD5sum: e663c78319adb379f2017ebfbb90d2be Description: transitional package for python-pydicom This is a transitional package. It can safely be removed. Package: python-dipy Source: dipy Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8634 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy (>= 1:1.7.1~), python-scipy, python-h5py, python-dipy-lib (>= 0.14.0-1~nd100+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel (>= 2.1.0) Suggests: ipython Provides: python2.7-dipy Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.14.0-1~nd100+1_all.deb Size: 3062240 SHA256: 87b0e6e79a27969c020a7850b4b8ddb02e5a386540b9eb41e8d920509df9e0c6 SHA1: 03fb60cb9818fdb2eff868172343c0c329331904 MD5sum: 8c62f74ba229ddbc44e665c406f40ca8 Description: Python library for the analysis of diffusion MRI datasets DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging. . Here are some of the highlights: - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE and MAPMRI - Fiber tracking algorithms: deterministic and probabilistic - Native linear and nonlinear registration of images - Fast operations on streamlines (selection, resampling, registration) - Tractography segmentation and clustering - Many image operations, e.g., reslicing or denoising with NLMEANS - Estimation of distances/correspondences between streamlines and connectivity matrices - Interactive visualization of streamlines in the space of images Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16479 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://dipy.org Priority: extra Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.14.0-1~nd100+1_all.deb Size: 12643476 SHA256: 123fac32659bfd4fc535b3a70cfe64c6045be1440b02b76b08df43c4c817ed56 SHA1: 6a4dc8a19cb65eaea8c17736146c075459b91ef5 MD5sum: 05285aa2476a109e45f45698615586d6 Description: Python library for the analysis of diffusion MRI datasets -- documentation DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-dipy-lib Source: dipy Version: 0.14.0-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11408 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.13.1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.4), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.14.0-1~nd100+1_i386.deb Size: 1716640 SHA256: 36709855ad630c10ef18f687e1c0fa876a2d59efa0a22ad789a39d967c1082f1 SHA1: 4f69efc9d84dac537a6ab7dca2dee24baba3e528 MD5sum: 6bb987fca3757976523ada9c10641d0a Description: Python library for the analysis of diffusion MRI datasets -- extensions DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides architecture-dependent builds of the extensions. 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It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python-exif Version: 2.1.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-exif Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python-exif_2.1.2-1~nd100+1_all.deb Size: 30928 SHA256: 158580cf80d19da4c435467fc6b0418f7b3ca637fb163ce8b96b44d2fb54680c SHA1: 908d673c2cd2f0a290bbe49bb4ddcdd2d2c82f5c MD5sum: 9935895be8bb82e580f54b9746610b47 Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 2.x module. Package: python-fasteners Version: 0.12.0-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python-monotonic, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python-fasteners_0.12.0-3~nd100+1_all.deb Size: 14692 SHA256: 0c5c304431fdcd9c91c4d6967b416d0912899d3b799fb3b60607509548c42743 SHA1: 84dc47a34579319adf92251bc37f0abef6f569c5 MD5sum: c35ece3854c2074030c22ba838b26174 Description: provides useful locks - Python 2.7 Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 2.7 module. Package: python-fsl Source: fslpy Version: 1.2.2-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), python-deprecation, python-indexed-gzip, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-wxgtk3.0 Conflicts: fsl-melview (<= 1.0.1+git9-ge661e05~dfsg.1-1) Provides: python2.7-fsl Priority: optional Section: python Filename: pool/main/f/fslpy/python-fsl_1.2.2-2~nd100+1_all.deb Size: 84288 SHA256: c5357959469fdc74ded339915381ef8b4b23310085c9c2519cf42f0f8523939a SHA1: ae1828d72360b9364dd3de0395fca492cf0084eb MD5sum: 36b211ec8891ac559838de1ac696d4d5 Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. 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Package: python-git Version: 2.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1654 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python-gitdb (>= 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-smmap, python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_2.1.8-1~nd100+1_all.deb Size: 303368 SHA256: 6eef740fc676ea9a40c8fb116383eb7d82e2723684420efcebe977986b5d2325 SHA1: 8d15056d098fc781f0a660a13d342a9a6afb6700 MD5sum: c830187684dc735f551d5ffd5131eac1 Description: Python library to interact with Git repositories - Python 2.7 python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 2.7 module. Python-Version: 2.7 Package: python-git-doc Source: python-git Version: 2.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 967 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_2.1.8-1~nd100+1_all.deb Size: 125820 SHA256: 641d9586b50a39a16347d8811ce80bb4f0cc35095d4b2d41c5819540cb898b8a SHA1: 142f1cf3a29de0721dbec82a440b383b805531bf MD5sum: 24c4f668da56516a30f7d94d0064cbe2 Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-httpretty Version: 0.8.14-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python-urllib3, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python-httpretty_0.8.14-1~nd100+1_all.deb Size: 21036 SHA256: 53043152c774e368b9f143ec88f5f294acb2443cf232e400ca2f836f6ef50702 SHA1: e48332307a50a4cb27236483ef029d8070c6e016 MD5sum: 126c0875fb99c2b83e2e2bb37ebb8f46 Description: HTTP client mock - Python 2.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 2.x module. Package: python-indexed-gzip Source: indexed-gzip Version: 0.8.6-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1227 Depends: neurodebian-popularity-contest, cython, python-numpy (>= 1:1.14.3), libc6 (>= 2.4), zlib1g (>= 1:1.2.2.4), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python-indexed-gzip_0.8.6-1~nd100+1_i386.deb Size: 298868 SHA256: 5d9550abad302890f17ee16aea8b1e317832bcaf0d818095c3f1a99f1e19458d SHA1: eb1f98c2683456c69f174dcbc46baa4b72159299 MD5sum: 85dec2987c1b51f6df2321a64ca22f34 Description: fast random access of gzip files in Python Drop-in replacement `IndexedGzipFile` for the built-in Python `gzip.GzipFile` class that does not need to start decompressing from the beginning of the file when for every `seek()`. It gets around this performance limitation by building an index, which contains *seek points*, mappings between corresponding locations in the compressed and uncompressed data streams. Each seek point is accompanied by a chunk (32KB) of uncompressed data which is used to initialise the decompression algorithm, allowing to start reading from any seek point. If the index is built with a seek point spacing of 1MB, only 512KB (on average) of data have to be decompressed to read from any location in the file. . This package provides the Python 2 module. Package: python-indexed-gzip-dbgsym Source: indexed-gzip Version: 0.8.6-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 846 Depends: python-indexed-gzip (= 0.8.6-1~nd100+1) Priority: optional Section: debug Filename: pool/main/i/indexed-gzip/python-indexed-gzip-dbgsym_0.8.6-1~nd100+1_i386.deb Size: 752452 SHA256: dae3c75daee82259121ca20e0573064e381e340a71fb4a962c6e5bd131e6a3f5 SHA1: e6f9bf07ea198765661cf98223ac187a212a1ec1 MD5sum: 71cdd2cc9ba14c4182984d4745009ac5 Description: debug symbols for python-indexed-gzip Build-Ids: 2dd3e40c727217d0919f3b1adaaa864ed51a787f b032da0162dd247dfaa7c2825b6a0470fa705870 d65983219b0da820f40c6ea3e24887440891c5cd Package: python-joblib Source: joblib Version: 0.12.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 806 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 Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.12.1-1~nd100+1_all.deb Size: 177992 SHA256: 556c2ddbc2d029710b7de3f84288adbef9e03ffee0063ba2f9e208d25958c488 SHA1: cf79e48d5508f91dccfda46236883945dbba129a MD5sum: 150d7f6009245812845885f5ccc02db7 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 2 version. Package: python-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python-json-tricks_3.11.0-1~nd100+1_all.deb Size: 24620 SHA256: c96f7343c4447c11a311b17d75728db7e92f6d26710d59261ce70d1dfe79e0ac SHA1: 7c12e119a49c9d4feb0dc37e6ff83fa95a1e5aad MD5sum: 7f0b9066072021f8d87359bd75ff5f59 Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python2 module. Package: python-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python-tz, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python-libxmp_2.0.1+git20140309.5437b0a-4~nd100+1_all.deb Size: 24436 SHA256: 216594f30921b5bc47b4b621b6a2276ddcbeee57d3cc7bdccad592527787acaa SHA1: d7762b6b56e778e5a04af8cd979f8efaf51851fa MD5sum: 15ec1ac52ef41a44cb1542d5f5e2af1d Description: Python library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python bindings. Package: python-libxmp-doc Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 238 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-libxmp, python3-libxmp Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-xmp-toolkit/python-libxmp-doc_2.0.1+git20140309.5437b0a-4~nd100+1_all.deb Size: 38396 SHA256: 63129936e87754af0e3487b7df963a472ebe6558637512bd2bdede84a0f25e43 SHA1: eb41f6b4f57b47770c32f6a58ec393a551eb0768 MD5sum: 86207cee3b61676a928bcd68861a1dbe Description: Python library for XMP metadata - documentation Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package contains the documentation. Package: python-monotonic Version: 1.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python-monotonic_1.1-2~nd100+1_all.deb Size: 5540 SHA256: c6352cb1064f3234a2926cb83704caae2ed31305f48f353bdc5e06fa29440a56 SHA1: 49f31c28928fa9b999c52d9e90495321dd7a7cf3 MD5sum: c9cdd9579a8a12b91c2f6c82a44acdd1 Description: implementation of time.monotonic() - Python 2.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 2.x module. Package: python-mutagen Source: mutagen Version: 1.38-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 673 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python-mutagen_1.38-1+nd1~nd100+1_all.deb Size: 137992 SHA256: 5d507ed687fc3dc2936565d146928dfa5b5eceb618d50700241ae9008195f63f SHA1: 813325e270a09e2a03e4b99f1284fb821b9a96e1 MD5sum: 6d417d155f18dfafb1490ec71503d26b Description: audio metadata editing library Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. Package: python-mutagen-doc Source: mutagen Version: 1.38-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 989 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Recommends: python-mutagen Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: doc Filename: pool/main/m/mutagen/python-mutagen-doc_1.38-1+nd1~nd100+1_all.deb Size: 123048 SHA256: 28539e9ce72e7577fbeeb318ec6d096aed4204266181a05c093a75f420a5f53e SHA1: f38abae0d0bad5698f758bc7d9901d46cc7cc75a MD5sum: 9bf3a1919101262e90b8d07dcb3ecddb Description: audio metadata editing library - documentation Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package provides documentation for the mutagen package. Package: python-mvpa2 Source: pymvpa2 Version: 2.6.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8605 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.5-1~nd100+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib, python-duecredit, python-mock Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.6.5-1~nd100+1_all.deb Size: 5108916 SHA256: 03f632b8d8ac35bf192ccc12ac62f3120c426b3798ac4ee90a5b5454f4c4c140 SHA1: 1e252903da71a630810a942d6c297e3547aa5ee4 MD5sum: dbecea8fb2a28d26a89d924f9debc275 Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.7 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.6.5-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20439 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.6.5-1~nd100+1_all.deb Size: 4262684 SHA256: 517f77d048b183044d18c325e63e3c0fee3d1a665cd9bbdb082275fe24553ea4 SHA1: 8763400ca579f84e9e6b656329746eb4531e9532 MD5sum: fc687869c1c2dc900d36f70337973f46 Description: documentation and examples for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a HTML documentation (tutorial, FAQ etc.), and example scripts. In addition the PyMVPA tutorial is also provided as IPython notebooks. Package: python-mvpa2-lib Source: pymvpa2 Version: 2.6.5-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5), libsvm3, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.14.3), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7~) Provides: python2.7-mvpa2-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2-lib_2.6.5-1~nd100+1_i386.deb Size: 52180 SHA256: 82350320ad154223101581e51a515a828e05bb385f3d7be92cf224832cce2745 SHA1: ea65ef17c830fac70c570d22cabe591e0d673481 MD5sum: 49e3eb8a646a7496b97f4c0d8d17a356 Description: low-level implementations and bindings for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. . This is a package of a development snapshot. The latest released version is provided by the python-mvpa-lib package. Python-Version: 2.7 Package: python-mvpa2-lib-dbgsym Source: pymvpa2 Version: 2.6.5-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: python-mvpa2-lib (= 2.6.5-1~nd100+1) Priority: optional Section: debug Filename: pool/main/p/pymvpa2/python-mvpa2-lib-dbgsym_2.6.5-1~nd100+1_i386.deb Size: 83592 SHA256: 2a23a1db6d294a088883e9ab05a1bc0e635ff000cee8748fc4fbe232b87a8245 SHA1: 6593741234a43bcc0c5f4cf3ac619caeda5069fa MD5sum: 116b4a4041aab91c54e86c18c6c9681a Description: debug symbols for python-mvpa2-lib Build-Ids: 29cf7d8d9fc838a5f41572d423c449667201968f 41b7efc75e86a80d8c9e21d392980008e34d4de4 Python-Version: 2.7 Package: python-nibabel Source: nibabel Version: 2.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65184 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-six Recommends: python-dicom, python-fuse, python-mock Suggests: python-nibabel-doc Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.3.0-1~nd100+1_all.deb Size: 2598332 SHA256: 31b7f340a7ac7e8431ea37171e213f3aa90d428a20e81fb2c96008db711a6e8a SHA1: a27fa8ae1187c336d091e30fa8217e9ee1f7770c MD5sum: 74f86f94ab3f3dcac8fe654812d8b6cb Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9153 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.3.0-1~nd100+1_all.deb Size: 1485368 SHA256: 85d61d077c07b4c5fa0da3f0c20143bbf9375e12a06780921739c8773211f73e SHA1: 1a79817482d22570411505a21fcd784455457a5f MD5sum: 94f34073aa0eaeb47659bbc16b5fc9d8 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: 0.4.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3548 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 (>= 0.4.2-1~nd100+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.4.2-1~nd100+1_all.deb Size: 780820 SHA256: dd96d63d42da8d0351c5b8aca3d87a0e633dfe3081cea5c2862da2ff3c97a616 SHA1: 203c81ceb50c3fc0f726c4bcb9a356b14d188f00 MD5sum: 5febd1dd05985e2271f45f4cbbd3abac 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: 0.4.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9396 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_0.4.2-1~nd100+1_all.deb Size: 1902904 SHA256: a8e7c58a6245935c2e420a450650e984c8a38d1215783b904908c6e0297328ee SHA1: 60ae1f53743ef8bafd86b5ff36d19d35ff0c1ad6 MD5sum: 270c44f641fce1518be9ed0e0b8cb8ae 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: 0.4.2-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2786 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_0.4.2-1~nd100+1_i386.deb Size: 574136 SHA256: a5aaccfe42c09afe445b8dab63900648d5f0d46a19d8633c7b02c3b16c39af53 SHA1: ac3c4ef171091a74155edffd8f70fefebe946c8f MD5sum: d9f01622018b0960cc411641d3c6830b 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: 0.4.2-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3029 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python-numpy (>= 1:1.13.1), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7), python-nipy-lib (= 0.4.2-1~nd100+1) Provides: python2.7-nipy-lib-dbg Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg_0.4.2-1~nd100+1_i386.deb Size: 647872 SHA256: 85e6a3fb0c4dff810e60143fe87e76be0c948f3260ce0f4bb794b5954dfd9dfd SHA1: 06dab9b11a76c1b06b75969b10fafb0fb251c4de MD5sum: 01a04783a2461d53c85bd2a057b96c75 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipy-lib-dbg-dbgsym Source: nipy Version: 0.4.1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1225 Depends: python-nipy-lib-dbg (= 0.4.1-1~nd100+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg-dbgsym_0.4.1-1~nd100+1_i386.deb Size: 818350 SHA256: 44bdefc8eacaa6457d646d827f95cde247212c3fd2198cf7e0ff914c32e81ec6 SHA1: fff9b5f3e82a2f1fe37d611d374dd702b2d4d4ee MD5sum: 338f41d6fa837a7de8a8534fd59f7860 Description: Debug symbols for python-nipy-lib-dbg Build-Ids: 27016059ddb559b960178ec0808013af6a5f0a52 30d24c16b7be8ce821410f047e2bd756d6116c98 4563f302b3ce8b64285523ef67eb25c64eb6802b 49f2de3f2c330f3c4127a1260e9768abce3380f8 5acb45f4023fdade691db0a5de34427433d47e2a 612987df10ea814d4d8ae97a2912c7b9672857a7 867b7e65fb5d01f818bdc189316390431f2163d0 92d475fcdc2c08d93351af7fecde185bb7008ccf a770cb5c4311cbc09961a0682b3ad6323a05ca2a ab354c876670beab7225d81a583dac2e82909ecf c708ec926e759ab5ad2337d9530f6fa39cda27ec e73f8612faa6770bb2a4df3644d9cbaa68b87542 f6a43ab135978def1dad1d0cb20012329caf554a fdb533f6e9c57c26f152007b16205fcb7c27b049 Python-Version: 2.7 Package: python-nipy-lib-dbgsym Source: nipy Version: 0.4.2-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2086 Depends: python-nipy-lib (= 0.4.2-1~nd100+1) Priority: optional Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbgsym_0.4.2-1~nd100+1_i386.deb Size: 1762300 SHA256: 1ef5ae172c627040247167034958f3fb7c6f2c4b05639d9443e03f5d42d5586a SHA1: fe48e0ad5a9385c88f9d52c88185fb938368ade2 MD5sum: da23bec29303bb7f137954daca6d449e Description: debug symbols for python-nipy-lib Build-Ids: 20d36fe859a66daf297d63c45b4f8e01f3480483 224b0db35e10fc36695923fca11c4d93b4fb9bf1 246e7bec5d039304b251d63493ab16ae5ab9920e 4fcbb92beea00a5f176c960baa38c620f6e65001 530dd4f9a1d339e187d79a9eab18941a30313d9c 6f3b8cca5cab6d769d0983e0cb1dcaff5015c335 9939355aedd812104a205356b69b0985e9b2d8df 9be3c5aa1b07854b74d67b1800d03a2ef94000fe 9e16306ca104f8de5fd40b23f517886eb8df1e94 a1fa2242d0b75e7cede5e53a4d435a380e6fab7d aded2d0666ed9456d5a21a172060b78b0968c5bf bbea793488011c8cf58d04ba47a6ca44db5b3f09 e492f3309373061a7451179c83290fce4d9bfadd ee1609ad818a260d6f117b107d17676d5353fc2f Python-Version: 2.7 Package: python-nipype Source: nipype Version: 1.0.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10921 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-configparser, python-dateutil (>= 2.2), python-funcsigs, python-future, python-mock, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-pytest, 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, graphviz, python-xvfbwrapper, mayavi2, python-pydotplus, python-cfflib Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants, python-pytest-xdist Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_1.0.3-1~nd100+1_all.deb Size: 1865220 SHA256: e1133432a4af873f9ca406cb181a0d6fa3b42340f939af69b0fe41ad2a85a27c SHA1: 0dbf5415d4363a5f473180d625cde55c26540090 MD5sum: d429cfce45490aa547429c1c939dd04f 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: 1.0.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 43359 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_1.0.3-1~nd100+1_all.deb Size: 20162792 SHA256: 5d1a448f82a273d74befdf0f52515ff7a9b11404b7d1367e8975ba171f2ab6ef SHA1: 94ac1544b8d15fa0553247bcb9edd10b97648665 MD5sum: 93efb9db776a1fd967b9dcfcc0f34da2 Description: Neuroimaging data analysis pipelines in Python -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-numexpr Source: numexpr Version: 2.6.2-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 476 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python-numexpr_2.6.2-1~nd100+1_i386.deb Size: 130082 SHA256: ac03ef0809b182524a469b565c321058d3077e13693f0522bf521c79cc1b7660 SHA1: 64f00f39af5ab46af6649fefa3d38d6d0b73408e MD5sum: 0a44a2285fee7ecf86622efa700f4caa Description: Fast numerical array expression evaluator for Python and NumPy Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This is the Python 2 version of the package. Package: python-numexpr-dbgsym Source: numexpr Version: 2.6.2-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: python-numexpr (= 2.6.2-1~nd100+1) Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbgsym_2.6.2-1~nd100+1_i386.deb Size: 212170 SHA256: 6407430feb94ae984707692a76cee2ba772d333b6acc397c466fe2432d24e003 SHA1: 59ccde14a7cd407a21219e4e6f5c4ff6a1295abc MD5sum: e553aa6302189926f4428d0e412de6ef Description: Debug symbols for python-numexpr Build-Ids: 0fc2bb738ecec6d778fd42ac40b5b398c086d225 Package: python-openpyxl Source: openpyxl Version: 2.4.9-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1525 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-et-xmlfile, python-jdcal, python:any (>= 2.6.6-7~), python-lxml (>= 3.3.4) Recommends: python-pytest, python-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_2.4.9-1~nd100+1_all.deb Size: 220668 SHA256: 4e8aa65876033dabd49e049c732e3e664b18b8d6f163320f7042550e9c26f461 SHA1: b44d3c161c94f1c0cd8ac315d93147c9e658d910 MD5sum: 223a3dd20b390d8914073455e858d6ed Description: Python module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-pandas Source: pandas Version: 0.23.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12456 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-dateutil, python-numpy (>= 1:1.7~), python-tz, python:any (>= 2.6.6-7~), python-pandas-lib (>= 0.23.3-1~nd100+1), python-pkg-resources, python-six Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib, python-lxml Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.23.3-1~nd100+1_all.deb Size: 1743388 SHA256: 4b06f149fbd762ef80c8ed932e969e41b9bf849a3b6b2555137d8d0e211b8c05 SHA1: 3ee538d915b2b74b088c40f46e718987202dc4fd MD5sum: cbcccc5531437eb278a09f7603185bd0 Description: data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. Package: python-pandas-doc Source: pandas Version: 0.23.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Suggests: python-pandas Homepage: https://pandas.pydata.org/ Priority: optional Section: doc Filename: pool/main/p/pandas/python-pandas-doc_0.23.3-1~nd100+1_all.deb Size: 18248 SHA256: 178c60b4de0cd21a2ebb2f34e1d143ada74f78922375770c12ed41fa0b750543 SHA1: f0fe6a1c9b366e14727b515bfdc234770bcd1d63 MD5sum: cd317fd2991b41cf38ca134da16a0f14 Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-pandas-lib Source: pandas Version: 0.23.3-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 16575 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7) Provides: python2.7-pandas-lib Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.23.3-1~nd100+1_i386.deb Size: 2816416 SHA256: bc11dbe0203a435815b1eca96977137f83f10ad25bce7e8d7a358c7db319d0cd SHA1: c12b8836e357c4291f8f5c243d2fd25f4e9be160 MD5sum: af47331514e699b2f0e39907ab35d2da Description: low-level implementations and bindings for pandas This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 2 version. Python-Version: 2.7 Package: python-pandas-lib-dbgsym Source: pandas Version: 0.23.3-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13583 Depends: python-pandas-lib (= 0.23.3-1~nd100+1) Priority: optional Section: debug Filename: pool/main/p/pandas/python-pandas-lib-dbgsym_0.23.3-1~nd100+1_i386.deb Size: 11997380 SHA256: 03e339c00614d303430bd3d5fd4411f387b373c0beec9c4874b00079251d3e0f SHA1: a1f257c18a6d4955f62d700dc6a6a4ba959e5f90 MD5sum: 32c8a48818687103b348292c2cf2a9b0 Description: debug symbols for python-pandas-lib Build-Ids: 03edcadb1b7977bef8a82e12aa104ca21910cc0e 04c40ea76427ca5a3d4cfb20450622bdad8f3c6d 0d314b997424690a3f2c758624c383cf76bf51b1 1b6c00f6c8a19d0d0ae782dadd025adca6bf2fe8 226266b5bdb24def96a06bc9dce1e4d602df454c 281d6a339d72dbf4f4d7938caa2264ba553bf25c 2910c6eee6d1b9eb7ffa5e1d22eb4ebe994a1609 2bb97238fab1184234bae28f39e73b6f385f6fc6 389859c6e2fb707ee9805c842438dc91585cc82d 3ae471e51bed1150701669d1853c98a693b24bb1 3c47a9428a9b45dc14c529f60af13ede8f5084dd 3e2eb6826ea6cc2a34ccb487694a84d09531ee1b 3fdd9d4a4be4b74d0ea42207bbca75f19aabc4b0 431b77f7828e1cc9527c4d37537d2dd90990dad9 4b9c1205e39dd7fa76f32ed764355caa0fdc8012 4cd2eee6233f519d252d060d7e24245b6515dd2e 51d553fa5fbe5c44924a948259ca1ed62cacf4f4 5c7c23d4fa519eb42d360cfca13a6b0e334c9269 5dda7966161a42dc322fcb6d22b20b671d3b27e5 5de540795d40c7a06b1b11025e39c50ed108a332 6453130809e3ebb2f2b4b20fbc939163ecd2186c 669998b17290e7bfe069caff3cb822fe1f9365ed 6f0d9b09e12f631b6ad3e082dc283752e7b1b531 862828e7f75a795d3c135c5cd0cfff217e25fab2 8c5a753f903ffe42d85aa2366da3f67ff17bb627 917037610afae6876d121cc69d42207148795109 98094f9b3a48fedc92db068e5c28f7ecec3a810a 98223a20680e53b5433bf88798eb70c8a831bb5a 989b8b043a758e261d29ba81dc9fc9f9c738a1e3 9b88e2685a90c41b4a059f5564d31eea667d2114 a95daea6b38f5e4eba5aef8fe32cbb445f18e09e aa929b5cdf270c98025e7f9555c8b58edfad59a4 b44545024d4eb911a36b63ade84ffe306d6c09d3 b991d0b7ac161fa55202d09f578f4b9908198b3c c742cba485bcdef26d33e575a02c243b63abf5cc c947c59c11aab258415ccb9babb9fba3871f074a e35f8b515595f34752c6f59114a6ab8fc6864f95 e524c6e41f986b98be148c99306e70ac70d01c05 ea0c6657cdc1527f77eabb7886ee53718ed036f3 ee78e8d5787fb69387aca026d2864e7366b02c14 fa19002ea15c5911fde32f9b65cb2dac996c5643 Python-Version: 2.7 Package: python-pprocess Source: pprocess Version: 0.5-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-pprocess Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-2~nd100+1_all.deb Size: 83128 SHA256: 462bc0c42c190f393fcc893398e8557826d40d475f82b632d744412602c5dbf2 SHA1: ed5b1752b074b1b07bf917acfc27718cf8104d55 MD5sum: 72ad95abbc68b1819379b17a9b0b912f Description: elementary parallel programming for Python The pprocess module provides elementary support for parallel programming in Python using a fork-based process creation model in conjunction with a channel-based communications model implemented using socketpair and poll. On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Package: python-pydicom Source: pydicom Version: 1.1.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10042 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Recommends: python-numpy, python-pil, python-gdcm Suggests: python-matplotlib 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_1.1.0-2~nd100+1_all.deb Size: 4317772 SHA256: 40e9699d217c41ea4a79fe8101e182c80d0a509a03352a487932fbfb993e0cf7 SHA1: 25e130302f4051b13f36c393dd049fb94c052088 MD5sum: 4af0237dd7fc3cd73a5a9c7497782d8d 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: 1.1.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2705 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_1.1.0-2~nd100+1_all.deb Size: 337844 SHA256: 3e704869996b51b7229600220d69d370efbb18a565c104ea54a6cbeceda5c913 SHA1: fbf3b00065cfa6aa2d22ff44cec7fe5fa0218cc6 MD5sum: 74b6d02ce6fb3c4fbb30749adb32cc0c Description: DICOM medical file reading and writing (documentation) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package contains the documentation. Package: python-pydot Source: pydot Version: 1.2.3-1.1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, python-pyparsing (>= 2.0.1+dfsg1-1), python:any (<< 2.8), python:any (>= 2.7.5-5~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python-pydot_1.2.3-1.1~nd100+1_all.deb Size: 22024 SHA256: 20896d1e86fe4837efe742940f2af8bd6612832076147ad1cec3cb11290c2f99 SHA1: 5fb5ec7e28e3e6094bff136669ad2b16041d7330 MD5sum: 369bd2761538ac467b54af7f0857e91d Description: Python interface to Graphviz's dot pydot allows one to easily create both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported. . Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi. Package: python-pyglet Source: pyglet Version: 1.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7027 Depends: neurodebian-popularity-contest, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libgtk2.0-0, python-ctypes | python (>= 2.5), python-future, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: libasound2 | libopenal1 Provides: python2.7-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.3.0-1~nd100+1_all.deb Size: 1422372 SHA256: 5f28dba79e6e13a18e26151271e3577ca94dd273445ae756cdf5008686526442 SHA1: 9453747756db7cfa6ce437416b5ee55941ac8bc3 MD5sum: 8a7e9e456ec90c72951ee9ac9c8c58c2 Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-pyperclip Version: 1.6.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), xclip | xsel | python-gi | python-qt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python-pyperclip_1.6.0-2~nd100+1_all.deb Size: 9516 SHA256: 41713a215e6b3f3b690ef4d99029c49b21c24f541fdc399d9d8ab886dc8a0c0d SHA1: dbaded1561784edc15eecac0348c0fe43067934f MD5sum: 7f01308b158183e203937d8a4326ff3f Description: Cross-platform clipboard module for Python This module is a cross-platform Python module for copy and paste clipboard functions. . It currently only handles plaintext. Package: python-rpaths-doc Source: python-rpaths Version: 0.13-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 121 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.6.4-2) Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: doc Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd100+1_all.deb Size: 23166 SHA256: 5f44599c5525edf4f8c4ec9cdb92f51f7c65846cbc63bb406fa0e1021f030473 SHA1: 30d99593dc7702a3f87c5afad5dc5755ba9d8b39 MD5sum: 9528073147047bf0c977c7814bbbc16d Description: documentation for rpaths rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the documentation. Package: python-scikits-learn Source: scikit-learn Version: 0.19.1-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.19.1-3~nd100+1_all.deb Size: 85632 SHA256: 2ff7657b05849a6faa75c6c81d031028628a574d51d33f819dd17ae8ce4cfcaf SHA1: 942f75c086d6b4ebcfecae2da7ba6fee3f7d3f71 MD5sum: 42cfb3bd06d2cde3ca65e8ab6470a492 Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14656 SHA256: 8636da47795f42e3b91a7cc2339a7d317bd8692162236a4d8097ae442389c2ff SHA1: 0970dc3595e632b0368ab8cfda123d8ec6605762 MD5sum: bb289d18a9932030a9ef09ae64f09ab0 Description: Python 2 and 3 compatibility library (Python 2 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 2 module path. It is complemented by python3-six and pypy-six. Package: python-skimage Source: skimage Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26057 Depends: neurodebian-popularity-contest, python-matplotlib (>= 1.3.1), python-networkx (>= 1.8), python-numpy, python-pil, python-scipy, python-six (>= 1.10.0), python-skimage-lib (>= 0.14.0-1~nd100+1), python (<< 2.8), python (>= 2.7), python-cloudpickle, python-pywt, python:any (>= 2.6.6-7~) Recommends: python-pytest, python-qt4 Suggests: python-opencv, python-skimage-doc Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage_0.14.0-1~nd100+1_all.deb Size: 19922880 SHA256: b14eb13c664cf2352345746c7bcb9ae3b39e3d2c20c79f6537772e8541d18978 SHA1: cfda7992ebdc8588e9142615b21dcf6441e53dbd MD5sum: d8cbe8c1d6102755eb291937e726988d Description: Python modules for image processing scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package provides the Python 2 module. Package: python-skimage-doc Source: skimage Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1682 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Suggests: python-skimage Multi-Arch: foreign Homepage: http://scikit-image.org Priority: optional Section: doc Filename: pool/main/s/skimage/python-skimage-doc_0.14.0-1~nd100+1_all.deb Size: 787384 SHA256: d420aeea97505c5ea519de51b2d75c869628e80a287b84fd5b2e00713643ace8 SHA1: ac0072e071328ad2b78c741ce3954711951e01e1 MD5sum: c75f5676b0f6f9086a9d7523c8dca9a0 Description: Documentation and examples for scikit-image scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package contains documentation and example scripts for python-skimage. Package: python-skimage-lib Source: skimage Version: 0.14.0-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10637 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Recommends: python-skimage Provides: python2.7-skimage-lib Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python-skimage-lib_0.14.0-1~nd100+1_i386.deb Size: 1400388 SHA256: 1bf418c508194e5a85f4b1b11781d88428f119ca8212fb6fff2e92544b48a1ba SHA1: f5633c3a36839527c5beb329d8663107d4d8bae7 MD5sum: 9314e9530b43f77d81ca5a33981b6712 Description: Optimized low-level algorithms for scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . This package provides the Python 2 libraries. Package: python-skimage-lib-dbgsym Source: skimage Version: 0.14.0-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9517 Depends: python-skimage-lib (= 0.14.0-1~nd100+1) Priority: optional Section: debug Filename: pool/main/s/skimage/python-skimage-lib-dbgsym_0.14.0-1~nd100+1_i386.deb Size: 8192420 SHA256: 2098d982ed4b8d872300678d182a0fade1238dc9fa202390776ba7e261877b81 SHA1: 103008e2bfe2a2bb36338ce1015c5f4a0e14d040 MD5sum: a2281781e42408150771f09ac45049ee Description: debug symbols for python-skimage-lib Build-Ids: 14862cd96929b2c4537f657ba7529525a703a3b6 153080dbb27683ba9ad1e59681cff44632407896 1e8c47e1ba57538a22aab59a2d6a39e7edcea4ee 216d9a613d42913329e81b92fabc32e1c9ba852a 26a49a07a39d06c9359fb00992758bc38c4c2e11 2c6aec5b384840fe6ad8e9095bd5fb960c627f86 2ce1d88d7a3dd9a01e8867424ff9e97b044af7df 36c22444a0c42c7964b3fcb119e7ed9220ee89da 3800a77b69371d160983c651ddcb23ee73b3ab4b 3adc053f8184ed175cac58365b8f9cd5f5dea835 3e07e496e058fc3fee7eecffd1001c66bc77d7e4 420a7ebeeee7a3300b03aa99428c4be4c3b15157 428597ebaae71f5616c3ab27a84f3f357e8ce5ef 459711edd0a79c629b1372df87eede36f80de4bf 47f83ed7cd5cb330681cccc624f9e31ca74b7ff2 4c45d4a7419787012bafc5e6f900db39f881125f 4e262ff0272b79e18b004229c06e818c62e17a8f 4f22d8d19ced31d675fa25c6c027538a0a663346 6d799ea4726cbb5e6855c1932a05207d65df8f42 6e18c140325abd7be13f0c5406d4630e4a2613d1 72afe592f335db778bbfef7113782e68653c4a76 73926fa289ace9e92361f65683078547c9128c6c 73f7d9db496ad124d4b2e16d7265162e2f528bc5 83aed86c07fb9198956bd44738b77cc5656cdeb5 8741369d6448dedb7ff99e98df44c3d7c624bcc3 937157276a0fd40aaee12b633c29e07e14f78528 9d4b9e7c7f09c8933d095372f6500d07b58f70c2 b17dc9793a6acc1982de705ce577072b75b3f0db b32fa361c224750f1ed1fa477f8f2cd3b56c2a3c b5d8c7f3577cae4e946a248bff31cdf45a824eb3 b8ab078dcfd5c7a085e017807234e237fb158180 b9d9faeda0aa4fd3d89997b86d9b6bbe992c4942 bd41a4144445dcbc239cf93ccfa62505a414aac8 bfb9439533649370300bef112063bb0885e17292 c26993ab9b970c101d70f9481ba4f4aa2ea1dc70 c6e53bebddb62b469d075746cd2447619e71a06c c8e61a11256229f5278da2840c98b16f69beecd8 ccdf3d4d5bc76fd0fcfd6fc2dbf9c56fd16039a4 d4cc03a279a6402de9442be873dce41342f10e5c dd216402791463a18625ea128501b1122dd61567 dd7aada248299c6b372854c5659f73cf5a255454 e8f168aee7f626357bcc5272233a9b7462a58671 eb261762db3b60fc2ba41ef8117c9dd9612ed3a5 ecf21be61647f7a9516af9ec79811715faaacd5d ed69b6ec5803e50a81ffb955f2b99a6c2539cc8c fd9147aac332ed9d8100b7d78098205fe8da0d63 fe3737ac212207ba11cc61af7b2154d6e7e41795 Package: python-sklearn Source: scikit-learn Version: 0.19.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7024 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7~), python-numpy, python-scipy, python-sklearn-lib (>= 0.19.2-1~nd100+1), python-joblib (>= 0.9.2) Recommends: python-nose, python-pytest, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.19.2-1~nd100+1_all.deb Size: 1456192 SHA256: d456e56b425b32d061b24fb42971ade85f03e09e748d25cdd0a8fad16d66eb1a SHA1: e5349d9836284b860781976493cd57d189e34719 MD5sum: 7ad27714aeb4f56615d3edda54656230 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: 0.19.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 33699 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.19.2-1~nd100+1_all.deb Size: 5106216 SHA256: aaca1edc22ce6e1f147cb93decc58d9c1bb52249ed5ccc8e0c4fe332fd5e6445 SHA1: d1c61bd7cfd41c7ed84c983e03d75a5cc1c2aac1 MD5sum: ccf506c7ec2520a1b358daf6b1a264a8 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: 0.19.2-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7055 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), 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_0.19.2-1~nd100+1_i386.deb Size: 1370472 SHA256: 84c7f2583f18cdc19fbdc0c1224acecbb3cf9b7f32ed878a1dc0a50447752428 SHA1: 311546ff4da25ff9dbc41327e953b463f614b15c MD5sum: f6ce666096a652413018019b8338960f Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. Package: python-sklearn-lib-dbgsym Source: scikit-learn Version: 0.19.2-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8252 Depends: python-sklearn-lib (= 0.19.2-1~nd100+1) Priority: optional Section: debug Filename: pool/main/s/scikit-learn/python-sklearn-lib-dbgsym_0.19.2-1~nd100+1_i386.deb Size: 7360572 SHA256: fbfc35b65cbde3cf88785862061a8751daa6bab2559a7041ac85228573e50c67 SHA1: 6f56d93a5d89a496b250ea39b2c0131b019f25c1 MD5sum: 45fcde8c56a04c6d40aaf63094f17931 Description: debug symbols for python-sklearn-lib Build-Ids: 0b0468a33c14f15ff99933461f330075554a503f 0cd5eb16fdfcd22b404acaddf0f017cb60f12b95 148466e3afa340201b87cd1a5bb6c1da3439a0a1 182953cb2fb8bbee8ea2a1cce92770c011e30b79 1edd56c6a4625538186aaffbca4378457ad31c24 1f19cbe286a06b37be9344701fb50a5bac71ebc6 2837c97bd56b00aef32e231140e06116dcd155d0 3d18c9088b475c892230cdf7747837ee0f69665d 4be879cbc292a9c4a8504c32df2f64c9d52104b0 4d4e9808e562177c190f449ebcb4f308c7aa0a33 51c380d0a42fb3adcb95be9f5d00710f20b4cbf1 53e3b058754632633cd1a2c083c61c116d79e448 56478ba9628fd051146a2dc9fc2539583277fbb1 57522afde695364ac52e354d68d5e6407ced6bec 5ad24505a4512919992fd27eacc2b7d0f7f88a17 623b265c0430fa7cdb70e3c2ed94772d2578b43f 662d96e0d4b76fa77da0bdfd3bb0129bf045773e 69ccabd56cae217320d6901cdd03ed687f7bbb4b 6b469bc931a30f27dc935989935750603cbc20db 7236309d339d9945d3e9b2015209fe1746f2c434 78c3a6436c421223844e9c9bb00bd5ea990599e6 7a6b0097f23fa429aa49a869d093aac8a41fc0e8 7d4337a0474dc2c7c9a93ef9bbcfdb628208ac08 7f6916643fd8bbf9d24e455e07ad89bbde5c7679 9f06e532618dfe3890a504bd55b75b4d8b4b5fc2 a68f0be836a3002777b98d6edd3371f80f8d97c1 a949d6352f6273570445114f8995bd395740c070 ae0b3073a801875b52355d61e770f55974a85cb2 b21f7bddd5a9954a0d22da1dfe2f485444f3e0be b92c82fca8f0c9cae86f0cb87616adca45218c97 b9e3752c4350a76eda4db3d15d89c849d15091c0 ba32fdbad1cf9e183f15b21db930ea7596bcb1c4 bc2fba295f1ed13c520535b9e0c028f18047a560 c8ff9a4b3db231c670bd7617fca4c339e765b2f5 caaa244df9d55d91117b3224d102a83ba8e48937 cbb7ac40833523a065029045ba085533ad737fc5 d464adcd345a3f999c2923d7af4b028a63a1059e ea9575764f4dc2c461fbd5fc1159727dfcabc796 f5c5634312fdf30cb9b8f997017ff7228810cdea ff0bfab01d1030739cbe7f8c561baad4ea32639e Package: python-stfio Source: stimfit Version: 0.15.8-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1458 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.14.3), python-numpy-abi9, python2.7, python:any (<< 2.8), python:any (>= 2.7.5-5~), libblas3 | libblas.so.3, libc6 (>= 2.7), libcholmod3 (>= 1:4.5.2), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:3.0), libhdf5-100, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4), libsuitesparse-dev, zlib1g-dev Recommends: python-matplotlib, python-scipy, python-pandas Provides: python2.7-stfio Homepage: http://www.stimfit.org Priority: optional Section: python Filename: pool/main/s/stimfit/python-stfio_0.15.8-1~nd100+1_i386.deb Size: 506716 SHA256: 3c073432a29ea491a8e70f7b696ebfeeca6de772bea5a43cceb5899853ad7a81 SHA1: 3a2207a3d3609df2bc44c9c0b8d7367cc9135346 MD5sum: 7975baad14841ee35aebe52c08fad221 Description: Python module to read common electrophysiology file formats. The stfio module allows you to read common electrophysiology file formats from Python. Axon binaries (abf), Axon text (atf), HEKA (dat), CFS (dat/cfs), Axograph (axgd/axgx) are currently supported. Package: python-sympy Source: sympy Version: 1.1.1-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16075 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_1.1.1-4~nd100+1_all.deb Size: 2571200 SHA256: bf1fa20af905f7fe3afb92057d79b3446e4d2eb93cc25cc716e70bf3e74c9170 SHA1: 787817f913d82d44a5bcd91986a04d77bc7fc5e9 MD5sum: bcf30b0293c33597e3317a8aad82387d 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: 1.1.1-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 51247 Depends: neurodebian-popularity-contest Suggests: python-sympy Homepage: http://sympy.org/ Priority: optional Section: doc Filename: pool/main/s/sympy/python-sympy-doc_1.1.1-4~nd100+1_all.deb Size: 5099648 SHA256: eeaccff192d446d157226a38e0cd8f1ea45d32a1d797f2b73317e5e7daaa2c2d SHA1: a97ab1752c49745ac198b53d5b7daa9d2c75630b MD5sum: 49fd587f7e2d0c5d6d5c7a354b8f8e56 Description: Computer Algebra System (CAS) in Python - Documentation SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains the documentation for sympy Python module. Package: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python-whoosh_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 290690 SHA256: 5cc2d7491e8ab52563aa8a32cdd3a223b78899713b74fbce565c022bba475819 SHA1: 745ce72af3b29abb3e44f83ee80a8fe450908bd9 MD5sum: a4a92bdf70ca01e924e0381d347635b4 Description: pure-Python full-text indexing, search, and spell checking library (Python 2) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python2 library Package: python-whoosh-doc Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2213 Pre-Depends: dpkg (>= 1.17.14) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Replaces: python-whoosh (<< 2.1.0) Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: extra Section: doc Filename: pool/main/p/python-whoosh/python-whoosh-doc_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 241300 SHA256: c28cc15134ac59dfd4c7384e30f72d97f7b263f0e27d7074afb29d953e785352 SHA1: 23d3044711e4074d5e1be14cf7b4cf5d644c2b2e MD5sum: 5d4ab18c7fe2b916a8aea674872b4224 Description: full-text indexing, search, and spell checking library (doc) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the library documentation for python-whoosh. Package: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 124 Depends: neurodebian-popularity-contest, python-six, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python-wrapt_1.9.0-4~nd0~nd100+1_i386.deb Size: 32712 SHA256: 91956f93da19da318d101d6f3a70002068d1249b3e86d39c067b264cd4bed07b SHA1: 767735c355e187a957a2ce3627e00bfed9293ab7 MD5sum: 26a931a7b33aea9502b0d7bf12badea8 Description: decorators, wrappers and monkey patching. - Python 2.x The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the Python 2.x module. Package: python-wrapt-dbgsym Source: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 44 Depends: python-wrapt (= 1.9.0-4~nd0~nd100+1) Priority: extra Section: debug Filename: pool/main/p/python-wrapt/python-wrapt-dbgsym_1.9.0-4~nd0~nd100+1_i386.deb Size: 24728 SHA256: 840443abac4beee68a6f58a2af0cc4f73032137b13fd578d4a4b86d28343dbfb SHA1: 9ab61b7d9398e6431c1cef44b22c72c75d9fdd43 MD5sum: a7214b5c4f434ac4e128fdd56795d18d Description: Debug symbols for python-wrapt Build-Ids: 7072e3bb8986191b1b7517d6d90728230c1fc4e2 Package: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 465 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: doc Filename: pool/main/p/python-wrapt/python-wrapt-doc_1.9.0-4~nd0~nd100+1_all.deb Size: 54096 SHA256: 10822366a5f3db22842bdf7d8afed9ea1d652808e55feab9edbfb6789a577e58 SHA1: 331cbe7088e3930df7e83f8fbed6b4240fbb4d34 MD5sum: 6ce653342ac130d84062d36d999bef4e Description: decorators, wrappers and monkey patching. - doc The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the documentation. Package: python-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 448 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python-xlwt_1.3.0-2~nd0~nd100+1_all.deb Size: 86196 SHA256: af3939ef704bdb11b66c158c06a358db171d2e3f34857d2bda2210706bccb792 SHA1: ca058459912f46895218da7442d9658737349176 MD5sum: 326ede8b01e2b78d981b723617236853 Description: module for writing Microsoft Excel spreadsheet files - Python 2.7 This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the Python 2.7 module. Package: python-xlwt-doc Source: xlwt Version: 1.3.0-2~nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 252 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Breaks: python-xlwt (<< 1.3.0) Replaces: python-xlwt (<< 1.3.0) Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: doc Filename: pool/main/x/xlwt/python-xlwt-doc_1.3.0-2~nd0~nd100+1_all.deb Size: 55360 SHA256: d4a7fbc9443dafb847ea77d47766a541fcc994d9a9eea3fee8199ecf6099f17c SHA1: f2161d05680297afe8acb21428834b9b85f50492 MD5sum: 4acf276cc8acdba2a61a08941a3bceaa Description: module for writing Microsoft Excel spreadsheet files - doc This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the documentation. Package: python3-boto Source: python-boto Version: 2.44.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python3-requests, python3:any (>= 3.3.2-2~), python3-six Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python3-boto_2.44.0-1~nd100+1_all.deb Size: 739848 SHA256: 9268d6d9278fad94841f73d2727644f8177924a6e880c21b164f6ca57d74581f SHA1: f9635a14f7e4b578683a9a3e7b749c711383a87f MD5sum: ee17cd0fc3cc23de0060c05351cf32b8 Description: Python interface to Amazon's Web Services - Python 3.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 3.x module. Package: python3-chardet Source: chardet Version: 3.0.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Homepage: https://github.com/chardet/chardet Priority: optional Section: python Filename: pool/main/c/chardet/python3-chardet_3.0.4-1~nd100+1_all.deb Size: 80348 SHA256: 522a3aeb3a9f897846100a28e413315e8c3333ae5562f943f4866a85d16475bf SHA1: 9f0472dc9464a85946637b60282774c655504278 MD5sum: 8ee24e5f20283c2e1149406753ee49bb Description: universal character encoding detector for Python3 Chardet takes a sequence of bytes in an unknown character encoding, and attempts to determine the encoding. . Supported encodings: * ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) * Big5, GB2312, EUC-TW, HZ-GB-2312, ISO-2022-CN (Traditional and Simplified Chinese) * EUC-JP, SHIFT_JIS, ISO-2022-JP (Japanese) * EUC-KR, ISO-2022-KR (Korean) * KOI8-R, MacCyrillic, IBM855, IBM866, ISO-8859-5, windows-1251 (Cyrillic) * ISO-8859-2, windows-1250 (Hungarian) * ISO-8859-5, windows-1251 (Bulgarian) * windows-1252 (English) * ISO-8859-7, windows-1253 (Greek) * ISO-8859-8, windows-1255 (Visual and Logical Hebrew) * TIS-620 (Thai) . This library is a port of the auto-detection code in Mozilla. . This package contains the Python 3 version of the library. Package: python3-datalad Source: datalad Version: 0.10.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4176 Depends: neurodebian-popularity-contest, git-annex (>= 6.20180509~) | git-annex-standalone (>= 6.20180509~), patool, python3-appdirs, 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 (>= 3.3.2-2~) 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_0.10.2-1~nd100+1_all.deb Size: 866096 SHA256: 6b308783467ac7c6af8377637141cc52526a3a6a9eb54366a6ee0855526b2bbe SHA1: dfda23f692455e03043badda7ccab1f1f94f702e MD5sum: 4fd822ab45e9a86bd0ee630f34b956c3 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-deprecation Source: python-deprecation Version: 1.0.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 34 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Homepage: https://github.com/briancurtin/deprecation Priority: optional Section: python Filename: pool/main/p/python-deprecation/python3-deprecation_1.0.1-1~nd100+1_all.deb Size: 8596 SHA256: 38f3c2612821fcdacb00c8cc3f989eae7de795ec0fdb1da37852d63f42a53165 SHA1: 9a0de8682c76adb53d793344c10f5fd2097fb82f MD5sum: 8f6d58401d74dcb28e2e4ff103a7c2a7 Description: Library to handle automated deprecations - Python 3.x Deprecation is a library that enables automated deprecations. . It offers the deprecated() decorator to wrap functions, providing proper warnings both in documentation and via Python’s warnings system, as well as the deprecation.fail_if_not_removed() decorator for test methods to ensure that deprecated code is eventually removed. . This package contains the Python 3.x module. Package: python3-dicom Source: pydicom Version: 1.1.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python3-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python3-dicom_1.1.0-2~nd100+1_all.deb Size: 4756 SHA256: 96b0ff18edad54a3da37528b980eaa295006d750c64dd0681ebc09df01e70a7e SHA1: 167bb4b39e6c26a91cc6384261d66bed02c90943 MD5sum: f0461cfa5e8ee41eb4f5bc10dbbbcdf2 Description: transitional package for python3-pydicom This is a transitional package. It can safely be removed. Package: python3-duecredit Source: duecredit Version: 0.6.4-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 252 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_0.6.4-1~nd100+1_all.deb Size: 56684 SHA256: 9ec2d1c3a15a4e5a876848bdb45f51aeb240590924b486a9b4ed25afce40ad61 SHA1: c5158a9a8855affbac02af46c23a032520aa5099 MD5sum: c512a84375ee694a39097881fd799cfb Description: Publications (and donations) tracer duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python3 -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python3-exif Source: python-exif Version: 2.1.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python3-exif_2.1.2-1~nd100+1_all.deb Size: 31008 SHA256: d4a63af1815717447f09a0126a0ecf9dd96d0d4c4941ebf2e32354b1dd4a2536 SHA1: a1e5db281b9e41c27c912bd5c2ee1d4a39e19eca MD5sum: c5ebe42edc8d50bb5059a1bdcf8b1d88 Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 3.x module. Package: python3-fasteners Source: python-fasteners Version: 0.12.0-3~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python3-monotonic, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python3-fasteners_0.12.0-3~nd100+1_all.deb Size: 14768 SHA256: 46be3f707dbbe4084eafad3d5db9759a47cf58accc1b3ecbed5b9b060c9e4073 SHA1: da28ddd249b6495d75470ec4321a2f264699d78a MD5sum: 2b02eec7354e3ee7d74a98517c554a40 Description: provides useful locks - Python 3.x Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 3.x module. Package: python3-fsl Source: fslpy Version: 1.2.2-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 403 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-deprecation, python3-indexed-gzip, python3-numpy, python3-wxgtk4.0, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-2~nd100+1_all.deb Size: 84252 SHA256: 67159a32fce9ea4be977bacce518c1e83a3576433fd764fa41830fc2f50c1697 SHA1: 29a49a7dc03d4a5cf96ecb850d6f94a4f7afb98f MD5sum: cd34c39d84de6b9f722e245771c73f85 Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-git Source: python-git Version: 2.1.8-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1651 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any (>= 3.3.2-2~) Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_2.1.8-1~nd100+1_all.deb Size: 303392 SHA256: 017f8fd5bc0ff2ec9720d8fe1f0e8160ce279e17ff94144244a4f6ccdd388b78 SHA1: 6287e1cf0858d1eb03d147e3046a1c085852f04c MD5sum: 7ef25a7556eedc0a1424b8480e336ee7 Description: Python library to interact with Git repositories - Python 3.x python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the Python 3.x module. Package: python3-httpretty Source: python-httpretty Version: 0.8.14-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python3-urllib3, python3:any (>= 3.3.2-2~) Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python3-httpretty_0.8.14-1~nd100+1_all.deb Size: 21120 SHA256: 64a18bb1b674db10c0fc9f99059796ba672d4c4ed33723e7cbcbff61322c6595 SHA1: f6c1c6b5521d1cc624817d41b6b2382acf008700 MD5sum: 26cd57f14fa902c756f7710427a14ce2 Description: HTTP client mock - Python 3.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 3.x module. Package: python3-indexed-gzip Source: indexed-gzip Version: 0.8.6-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1256 Depends: neurodebian-popularity-contest, cython3, python3-numpy, libc6 (>= 2.4), zlib1g (>= 1:1.2.2.4), python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.3.2-2~) Provides: python3.6-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python3-indexed-gzip_0.8.6-1~nd100+1_i386.deb Size: 310224 SHA256: d71102bb1aa638074d47390c8c3da4ab9d27df59ca4c9b1ab3ea86b15729c7e0 SHA1: 441efe250898edf3f8e130bf4bd0dd75f1d7f94d MD5sum: 59db032f037806643571174d474fefae Description: fast random access of gzip files in Python Drop-in replacement `IndexedGzipFile` for the built-in Python `gzip.GzipFile` class that does not need to start decompressing from the beginning of the file when for every `seek()`. It gets around this performance limitation by building an index, which contains *seek points*, mappings between corresponding locations in the compressed and uncompressed data streams. Each seek point is accompanied by a chunk (32KB) of uncompressed data which is used to initialise the decompression algorithm, allowing to start reading from any seek point. If the index is built with a seek point spacing of 1MB, only 512KB (on average) of data have to be decompressed to read from any location in the file. . This package provides the Python 3 module. Package: python3-indexed-gzip-dbgsym Source: indexed-gzip Version: 0.8.6-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1103 Depends: python3-indexed-gzip (= 0.8.6-1~nd100+1) Priority: optional Section: debug Filename: pool/main/i/indexed-gzip/python3-indexed-gzip-dbgsym_0.8.6-1~nd100+1_i386.deb Size: 1016632 SHA256: c3f1327fcf800466ce9e511bc8efb70cb2fba669de97b2f6e82039d7d2d4e0c3 SHA1: 60ab936f314961917609b261517330ad0f235734 MD5sum: 899f28efd5b7082f1d1bc4d4b2f28f77 Description: debug symbols for python3-indexed-gzip Build-Ids: 3298777f19ce2f50880d262e6fbc9ca9af8f1981 bab87f731616ca10e375fd645335a7ebc30f1e73 c8f0e5e3679191dc243e2303ea89c434cfd3a2db Package: python3-joblib Source: joblib Version: 0.12.1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 801 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), procps Recommends: python3-numpy, python3-pytest, python3-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.12.1-1~nd100+1_all.deb Size: 175000 SHA256: 5e6825b23b9784d19658f030916afc141dbe2df9a3999b73972abf377038bfed SHA1: 921ea0f783f4f97584e4ab98100c0e9c578e1513 MD5sum: 7e0e2a8110fc0bf8024e127c4234746e Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 3 version. Package: python3-json-tricks Source: json-tricks Version: 3.11.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 82 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/mverleg/pyjson_tricks Priority: optional Section: python Filename: pool/main/j/json-tricks/python3-json-tricks_3.11.0-1~nd100+1_all.deb Size: 19008 SHA256: 0e43d77ac827571f7500dd681bf53cba19a0e97188df3507b573ae215afdaad8 SHA1: 5eb4b0e9fbe2c6e0a853a6127b015e55140cf268 MD5sum: 4229637f18150ff3f44ab0889a9f0e9c Description: Python module with extra features for JSON files The json_tricks Python module provides extra features for handling JSON files from Python: - Store and load numpy arrays in human-readable format - Store and load class instances both generic and customized - Store and load date/times as a dictionary (including timezone) - Preserve map order OrderedDict - Allow for comments in json files by starting lines with # - Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ... . This package provides Python3 module. Package: python3-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python3-tz, python3:any (>= 3.3.2-2~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python3-libxmp_2.0.1+git20140309.5437b0a-4~nd100+1_all.deb Size: 24528 SHA256: cb0fb73fcd75b749ba75f2da0bef79e8f9257db966286fe5fd0f0237ee60c997 SHA1: 7b1f4320c9c5e6f44fb99e90727091f6c347c5a8 MD5sum: 4a7389bbb4c8544f17745b170a80fb9e Description: Python3 library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python3 bindings. Package: python3-monotonic Source: python-monotonic Version: 1.1-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/atdt/monotonic Priority: optional Section: python Filename: pool/main/p/python-monotonic/python3-monotonic_1.1-2~nd100+1_all.deb Size: 5612 SHA256: 67a291afe28a065d26ad8f45fb589136c5ad02cab82bfce5109e0c73449680ee SHA1: 67bd0697997bd72aa4f8a2b098b6f3bf316bd2fd MD5sum: dc9d9e0b121d8c3ce50ef215d11a2c1b Description: implementation of time.monotonic() - Python 3.x This module provides a monotonic() function which returns the value (in fractional seconds) of a clock which never goes backwards. On Python 3.3 or newer, monotonic will be an alias of time.monotonic from the standard library. On older versions, it will fall back to an equivalent implementation: GetTickCount64 on Windows, mach_absolute_time on OS X, and clock_gettime(3) on Linux/BSD. . If no suitable implementation exists for the current platform, attempting to import this module (or to import from it) will cause a RuntimeError exception to be raised. . This package contains the Python 3.x module. Package: python3-mutagen Source: mutagen Version: 1.38-1+nd1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 654 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python3-mutagen_1.38-1+nd1~nd100+1_all.deb Size: 131992 SHA256: 1b0542d2b6a651c704624141f71fcb23df704d912f7a7bacfa0a9fb54e3a6518 SHA1: e47f1a4b9bd5403a99924feea12a6bcb5b16ee0f MD5sum: 15411f14e9f8031e6d9d583d07162044 Description: audio metadata editing library (Python 3) Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package is built for Python 3. Package: python3-nibabel Source: nibabel Version: 2.3.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65170 Depends: neurodebian-popularity-contest, python3-numpy (>= 1.2), python3:any (>= 3.3.2-2~), python3-scipy, python3-six Suggests: python-nibabel-doc, python3-dicom, python3-fuse, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.3.0-1~nd100+1_all.deb Size: 2594764 SHA256: 211121b57a5a531a978caf891e73f70feca36d6292508086717deddd7ef606af SHA1: 65e7ebcb1f0d83955c08224903218da01777dde9 MD5sum: 765c6159b915db1fb69471c053b4df7e Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-numexpr Source: numexpr Version: 2.6.2-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 778 Depends: neurodebian-popularity-contest, python3 (<< 3.7), python3 (>= 3.5~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3:any (>= 3.3.2-2~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python3-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python3-numexpr_2.6.2-1~nd100+1_i386.deb Size: 124610 SHA256: 2ebaa0c84d7520cf41ad732ca3e37b40c33c2342a6fe36ef6c06fa6570773f4b SHA1: 5dc16c5a2ce0bd11871cfa9b863d0ec9af348b06 MD5sum: bc39ef599f93843ac086f2e91b10cd45 Description: Fast numerical array expression evaluator for Python 3 and NumPy Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. . This package contains numexpr for Python 3. Package: python3-numexpr-dbgsym Source: numexpr Version: 2.6.2-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 486 Depends: python3-numexpr (= 2.6.2-1~nd100+1) Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbgsym_2.6.2-1~nd100+1_i386.deb Size: 357502 SHA256: 888c266a26508f4d07c4d12f757cec5da0df1595fbd04dfc080ab2930699729d SHA1: 4e284d3cd9953b243595de9fab5e5ec4e3bfadd2 MD5sum: 813fd1f4fb9ef0a7a6646e248e825956 Description: Debug symbols for python3-numexpr Build-Ids: ea00f9c6634ed273044612ee01220667f2de8569 fe7535b0aee9ba9db5c7eac11f56af75cff0a4d7 Package: python3-openpyxl Source: openpyxl Version: 2.4.9-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1521 Depends: neurodebian-popularity-contest, python3-et-xmlfile, python3-jdcal, python3:any (>= 3.3.2-2~), python3-lxml (>= 3.3.4) Recommends: python3-pytest, python3-pil Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.4.9-1~nd100+1_all.deb Size: 219800 SHA256: cf84414c643ec01e0d1f0360e45d678ac64bb53716e6db66d53060b5227c6534 SHA1: f569f96d65fcccea2dbcfe0ae5e788131f192665 MD5sum: 8f98516a032c8680e2cffbd136217f20 Description: Python 3 module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python 3 module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python3-pandas Source: pandas Version: 0.23.3-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12450 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.23.3-1~nd100+1), python3-pkg-resources, python3-six Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-lxml Suggests: python-pandas-doc Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.23.3-1~nd100+1_all.deb Size: 1743120 SHA256: d75b05c7857a2a4bee67867b1c6dfdffe8279bb5f06e9d07f253dbcab356410c SHA1: 7225cd1f7152443ee99fd95810d14ae0831677a2 MD5sum: 7b96362ea67fafc1b3608f8db484a6ef Description: data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version. Package: python3-pandas-lib Source: pandas Version: 0.23.3-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 16584 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.2~) Homepage: https://pandas.pydata.org/ Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.23.3-1~nd100+1_i386.deb Size: 2814584 SHA256: 0645fad1408e155b2c525ac67603fd2a1016e490018282a0bdcefa5ed6ca994b SHA1: 3af1413cf1a2a444852b55d210af99fffb125d8a MD5sum: 2ad314f7debddc6f8795441c976e7d8e Description: low-level implementations and bindings for pandas - Python 3 This is an add-on package for python-pandas providing architecture-dependent extensions. . This package contains the Python 3 version. Package: python3-pandas-lib-dbgsym Source: pandas Version: 0.23.3-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 15523 Depends: python3-pandas-lib (= 0.23.3-1~nd100+1) Priority: optional Section: debug Filename: pool/main/p/pandas/python3-pandas-lib-dbgsym_0.23.3-1~nd100+1_i386.deb Size: 14018416 SHA256: 2e644d9694df0f853d1c13aa2a5f0d3a4dc1abdfce220d48df41c7584c03ed92 SHA1: 9f0525cef29e7ab0df74ecacaf92e24e2b2f0420 MD5sum: 601e2e75f28853e12b5818485f03dbe7 Description: debug symbols for python3-pandas-lib Build-Ids: 09c8ee809e172b08ab1c6775449e24046249132b 149a7030f3d166511bbb7b16cff94693a353bcec 16d6968b6fa87034acf42c960bc1e9ea6b5244f8 24043d1dfeba4ba6e64bd899057cb26153d54ecf 2780db788955380109f52e9c07eb6c13708fc50d 27ea26f2dfc8d4e10fd7f99d3c6b0cebcdbe3d4f 333518f4e4bb1ef24f876a5036224d4a9102baf2 35267a89a32a9c734ffc18d2cd44c916fa9f8807 3d03781484d0b7500393b3a9377a3df90e3a7ac8 3d69ef2c62342482c6027c488f1c828f3761ed01 414d33a179520aaaa61a7c59d55fd018760250d5 4aee7c889a2139133d26c5a545b68a8d57cf2f34 4c2894e3a2e61ebabec0a0a1bcab4aa6005e7e79 4f033258be218a6aa25ee48f68ee21cbe0df9928 5856d339a69183b7f03d8c64d77a0095057fec4d 5b43ce8b90546ef0780fd81c6ab6446363725974 5cc2eab566ebd81179a2977cf197114194fb38d6 7427829d0dd610d898e9e5ed5d5eeab3484df155 7a57d3d3da663a7beeffc2ae2980db2b5bcbc328 82788a6dec1a437ae506ef40d014c87b32ce17e2 875b9a4c4427168ba5a2a1d0a9caaeeb3250bc75 8aa0b6d9efb7805e784e53e7054bb4a2f8fd9659 8fad94c0ecd82a7f904e2128565d502591c9d080 959bfdaeb3fe1ecb44f44596f2cc7125e4572849 9a953cd74623fefe1bdb46d400b6db31aa7ed5a2 a3f62f37fe3d770acc0c733b3c71785c27ed2d18 a52ffe82ed79151a4094147f490bf535a07fceaa a99c8f11c18f90ea6903a2d0fdff00f9b2b3b7b7 ac8b0e5f989c06e023579341fd73ebf9ef85d887 b120654a5edd3022cf672bafd116738cbd357ccf b625264026e45dc9952cfbdab26b87b34ea6e99c ba1768288a8bf9ae19c6b48e5a8cce5db8ce1d65 ba74b08c416910805290cf4264640cf74ce65ad2 bb512fe8b5bbc1b8511d27a9f61b3600651119b6 ca0a4fb215f319bd36d2b2f1e73d95091db3fe17 d2aaf80626913f38749bd4afb9e0a14a1deabe85 ece44abb5cb8cee31cd6ac8740e6eb19be60e822 f4ec18064360348783a7bc8453250f8a262b01d6 f69991c352b3af038444439a5304a55dbfb253f8 f8dbbcc684820ab17ce0e69d49f1eac4d12c0b2f ff27d723cc3e5ec544308f6d8e7116fcf85e3d02 Package: python3-pydicom Source: pydicom Version: 1.1.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10042 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-pil, python3-gdcm Suggests: python3-matplotlib 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_1.1.0-2~nd100+1_all.deb Size: 4318244 SHA256: 6efde0753492b8b05c6b98a2b618bdeafe7ded38624ce9b762f3e0b6c4f6e16f SHA1: 1184b341e197cef209ab603b9964023e8c8406b5 MD5sum: 1125e92301284877385f268ac4899f5e Description: DICOM medical file reading and writing (Python 3) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package installs the module for Python 3. Package: python3-pydot Source: pydot Version: 1.2.3-1.1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 90 Depends: neurodebian-popularity-contest, python3-pyparsing (>= 2.0.1+dfsg1-1), python3:any (>= 3.3.2-2~), graphviz Homepage: https://github.com/erocarrera/pydot Priority: optional Section: python Filename: pool/main/p/pydot/python3-pydot_1.2.3-1.1~nd100+1_all.deb Size: 21468 SHA256: 546173f18951e966f616f08aeb9482e29ee8dbae05b55c478ed33d7a8fa68146 SHA1: 30d11a3f0176a0eacb71cd4c2ea8dc90a5c95a10 MD5sum: a67a0354d4b5e3ca415cb8161b34cce6 Description: Python interface to Graphviz's dot (Python 3) pydot allows one to easily create both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported. . Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi. . This package contains pydot for Python 3. Package: python3-pyperclip Source: python-pyperclip Version: 1.6.0-2~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), xclip | xsel | python3-gi | python3-pyqt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python3-pyperclip_1.6.0-2~nd100+1_all.deb Size: 9628 SHA256: 52ae6a83b076e4a4ebead3cb57a5136eead2cfc8e78c970c1431dac328e9c44f SHA1: 84d01a62d907fbd4522f66068af483c545c64c04 MD5sum: 4bd90462085a393529d3abda6ee6e319 Description: Cross-platform clipboard module for Python3 This module is a cross-platform Python3 module for copy and paste clipboard functions. . It currently only handles plaintext. . This is the Python 3 version of the package. Package: python3-rpaths Source: python-rpaths Version: 0.13-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-rpaths-doc Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: python Filename: pool/main/p/python-rpaths/python3-rpaths_0.13-1~nd100+1_all.deb Size: 14212 SHA256: 87303fb518107aaad34ec79f4a2b9aa16dfc6b60b09628e44767a97d8ddc1255 SHA1: af29d93ed958a6d422863e275776e10056a5be18 MD5sum: 055af8aab5118410df338b2ca343032b Description: cross-platform path manipulation library for Python rpaths is another path manipulation library for Python. It is heavily inspired by Unipath and pathlib and provides a total Python 2/3 and Windows/POSIX compatibility. . This package provides the modules for Python 3. Package: python3-six Source: six Version: 1.10.0-3~bpo8+1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: https://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.10.0-3~bpo8+1~nd100+1_all.deb Size: 14734 SHA256: fe098a5b0a58b9e56dce648d68194e7893157756bbbc1ab3cfa38f1c677c7956 SHA1: cc73271ad6a5f7760b677ffe3c02776756e40c13 MD5sum: b303fc751f272623c6bab1a3c92cb20c Description: Python 2 and 3 compatibility library (Python 3 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 3 module path. It is complemented by python-six and pypy-six. Package: python3-skimage Source: skimage Version: 0.14.0-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26053 Depends: neurodebian-popularity-contest, python3-matplotlib, python3-networkx, python3-numpy, python3-pil, python3-scipy, python3-six (>= 1.10.0), python3-skimage-lib (>= 0.14.0-1~nd100+1), python3-cloudpickle, python3-pywt, python3:any (>= 3.3.2-2~) Recommends: python3-pytest, python3-dask Suggests: python-skimage-doc Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python3-skimage_0.14.0-1~nd100+1_all.deb Size: 19932184 SHA256: e970af728b776982934dcadd54e76fd1d40228f5bf939de5bb7994e1094e9007 SHA1: d5d2dbdb932fea73abba89e25ccde7f71134d21e MD5sum: 39562a5e71fa9f586d2c956c6f7bdd4d Description: Python 3 modules for image processing scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package provides the Python 3 module. Package: python3-skimage-lib Source: skimage Version: 0.14.0-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10161 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.2~), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Recommends: python3-skimage Multi-Arch: same Homepage: http://scikit-image.org Priority: optional Section: python Filename: pool/main/s/skimage/python3-skimage-lib_0.14.0-1~nd100+1_i386.deb Size: 1331444 SHA256: 622d4ca92b6c279e6110d5267a76102175405fcd47dbb2ce6454ccd875faa050 SHA1: fa559a007928a81ad92b54d41adf2d526bfa1a79 MD5sum: d4b195127e0cdf828ed5681138dc3117 Description: Optimized low-level algorithms for Python 3 scikit-image This is an add-on package for python-skimage. It provides optimized, low-level implementations of algorithms. . This package provides the Python 3 libraries. Package: python3-skimage-lib-dbgsym Source: skimage Version: 0.14.0-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10067 Depends: python3-skimage-lib (= 0.14.0-1~nd100+1) Multi-Arch: same Priority: optional Section: debug Filename: pool/main/s/skimage/python3-skimage-lib-dbgsym_0.14.0-1~nd100+1_i386.deb Size: 8759876 SHA256: 1a51cce18bbd9c9f17c689e5647548e4d5d9e49910346a973669bdf3564b37a5 SHA1: c4df62344144034f8dd0ff83e51c3ac14780b931 MD5sum: e6bbca94024793cda5fd080498eefffb Description: debug symbols for python3-skimage-lib Build-Ids: 1489adb95fa882b9c5587408bd8fdaffe4a7d6fa 18e776e02992c619239c27e75e1c719eb6372c90 1b9f601918ea5bfcde04b8eda4fe18f253a56d02 1c24080f5621ce3825fc10be2c657ccbfe352390 201f591f065482990687792e63b33741ce390211 23a65165092069d3ef59d0f327093cdea68d4693 2549547ce6dcda6c86c387331adf9f8e33385ef3 260e567e47604953ab01b5721c414d0a582f6371 262f1e617dc446dec5e32e253b6a09b9d4e81958 26baa31ff7e8b16aeb20b2d8002b549ee8c0fa64 27c07a9aff681c7b08c68290de05dd1d6f489800 2c37f8420b8c23a527be0914e49fa312e77db335 2f996ad004115397514ff4829b3ca9f7efba3594 3a6e3177b53cb31d0d08cec781c1eae1e50ea4a7 4141772adee21c614a6d0f9713dab3c8a3daa980 44a172fcdeb7306c02e079ea6a0337b661401512 44f7166b44d32ae19d01c7af1be7d2eb11980816 45a99ab9b0a0f00172f873ea5a3caa0b2a5d266f 501508ce668a5730e02f063721128857a5b95df8 5267dd50d6c080c0005a0df93eac2f66bca44947 55be73c7e2d10fd10ffdeaa3d4aece6b43d39102 5a927decafcc388ff43c6c7a8a30c7a32f5ccf15 5e0de8ea00267509fd969a066f661d93e9fbe934 6a48a729ea5eaa5b0bdfcaf90c948d9da5cc8fef 7a0a6abbcdd515290cf38d0faa73a517f4d33bce 7f1ea6f05a9f2272bd524f6267e58673ebfab85d 82cc3d07623b83b4286e8f8744d70d9c6777a76a 8656fdb8fa60d1fe933e23d470b997b779261a87 8823aaccdc3b9f760e7ef80f7ff89314f11e675d 89c8f6579310c3a9b845a96ddf1baeea92b67b71 8f20d9b779c91fd38f30fdb2621115c3cbe67efc 935562c9c705bd9a82297d7b33bfc7e2ea8fa46a 940aa7edab8caa191b299888afb0ab015cf64ad1 9419c68c87c2bde2bd969c7f2163b364ce249b9f 9558b8e9467b5a946754f40ad34401e84c613583 9a0f6918042ff5228de67b95cad2886d14941c4a a01e0c55834218c5e124ac168482e15b8aa178ce aba150d5f8a26714f01d60261e03b965919d4057 ba44e10d80d18801da5dc2aaaf2efea6a7efbb25 c314c85c277bcfa8a8faadb3c89d7547022c0fa4 c83f1eea3694129a4c959c6b6585dc426d325485 ce1cd0489582b790a4181f722538835a1e112e72 d396adde7573318f4b2881c958635a870cf0ce2e dd022bf7d431d3affab767b9929232050b54152f e1d28b3526fb7818b3c9fef8cf8c11a6197fb756 e9c18c039f5e07a101b1a81225cd4e5b6d8662e0 f591b93b30b7be711a757bf172dd10c08b007233 Package: python3-sklearn Source: scikit-learn Version: 0.19.2-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7023 Depends: neurodebian-popularity-contest, python3:any, python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.19.2-1~nd100+1), python3-joblib (>= 0.9.2) Recommends: python3-nose, python-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_0.19.2-1~nd100+1_all.deb Size: 1455988 SHA256: 3c1b5d0c2c48d6effddbaeafb27a8a4f630e2187672f0ca751046f3da15a285c SHA1: a670fb460ecb6e87b41c9c83332c64152c872ad3 MD5sum: c0437857e13ae4c6d058fd7a20c82c46 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: 0.19.2-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6785 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.19.2-1~nd100+1_i386.deb Size: 1317472 SHA256: 2d9132a33649100343858a84d3855841ecafbffd10891fa0c7ff624f698389b3 SHA1: a5efcff740bc77a9da4844038f38b3ed9f1c776f MD5sum: 25eeb4611f556e96724df6ce5fbe012c Description: low-level implementations and bindings for scikit-learn - Python 3 This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. . This package contains the Python 3 version. Package: python3-sklearn-lib-dbgsym Source: scikit-learn Version: 0.19.2-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8812 Depends: python3-sklearn-lib (= 0.19.2-1~nd100+1) Priority: optional Section: debug Filename: pool/main/s/scikit-learn/python3-sklearn-lib-dbgsym_0.19.2-1~nd100+1_i386.deb Size: 7969340 SHA256: f11a9542d18dbbcce2756bb84b126f3e82a224d23bd3d050e79b68149ea2a51c SHA1: 3160a1f56f73cb25f4cb6d219f927a5c5c9680fd MD5sum: 682659c3bc6633fe4f18db747fc76644 Description: debug symbols for python3-sklearn-lib Build-Ids: 01becbd5b576dfc8cdce3831e5dce7258c4d5e35 06393b06d02224f0080562319669c52618692125 07385dbb463daa0c896445ae0cbc2f954971bb61 090da8f0f3e97ac297bf7a0754e662bf20571937 0a0f1027efc0495b8b89f3ab79a2400a22cd9617 129120073e5b71c433b94ab6d9d5c71d76d9b340 13efd4cdaa312292fa0de0cb84e905e724b87d65 172ec3f4d8eb047bc36cac45f7d69ddf7d97ab26 1c5b6a925386926b3d60d20bead94a83da35361b 212be6d527b3959d923ef963c41ac2ffb5bd4323 29a63070316e2b4620580ba4381c3af88c80e6d7 2b83334dabdffbd5b8145fa30856028adcf8f636 2bb947c49a4a0e0328df95678f1356411f50a473 2c54065890617f26909ff14f903b59526fa41ab9 3ec785d41c244fa85356ab766d2473230c30c602 4930059966e427a899661c4081290cd3b1542248 4c4d9fb2765cfe5dbfef7be164168307038cf8fc 525c1aefe1d45d516c9fef59572e0a00908552cb 53192e29d29369574d5c186a35f9da458c5aefe9 558c6562acc84ae2a49dc9bb3a6fdda735c123b5 6a5987d943c98ec842bfe2ff348f8a01fefad2ab 6b6e2e818c39492cf86d59ddd285b0ca51f19433 6c927a0b42d8d27d5cf0eed1807820597db7fe71 780bceea8cda0cb7e39d8ce2b1252b1bb5c2fb4f 84cd2d5f95173d4b1c6c1f00bc400670e55f6e21 9154319db99a1d99f5080e7e39096ffe1d7a1d38 97434576da88aedfd56335bb11168427f28a8e47 bb6242cdf06386c17fd85bb7360b4e4f0606e33e bc726851299a50e484298965d4c1970a71f97066 c3ceac01c42e37446312ad14673fe4c0b9fdb88f ce7ecedbbe1b98a2e872383b8c8940cfce2ff984 dcb05330cded1e53d178b5b8a3805a25f747d789 e5d91119d51d2710ed8fec9c45369f6e56ae11aa e7c237d37bc09a6c85e498d714f443438e64b6b2 ef586fe61d1008d92ba7c5ba9e806885c5c65af4 ef64b5fe04f237cc83c44c7bcd548461d9935950 f2ad009e213855475f1cc7b8f388b9a966fff8f8 f77da52e448717c9ba1b6899895f5fcf680cc504 fc9706d5a96ff685ff7f707d83bcf063e16f8434 fd85a11985de5e6c7d5911e5000130647dac4f0e Package: python3-sympy Source: sympy Version: 1.1.1-4~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16075 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_1.1.1-4~nd100+1_all.deb Size: 2571816 SHA256: e5b4f136dfe81973b6aeb54157a4cdbe3abc45b82e02ae46d59dccdf5b1d47d3 SHA1: f775a404273345c57535c7b7899aa2303baac6fa MD5sum: 132cf88731e075534b71a36e9c568c5c Description: Computer Algebra System (CAS) in Python (Python3) SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. . This package contains the Python 3 version of sympy. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1745 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-whoosh-doc Homepage: http://bitbucket.org/mchaput/whoosh/ Priority: optional Section: python Filename: pool/main/p/python-whoosh/python3-whoosh_2.7.4+git6-g9134ad92-1~nd100+1_all.deb Size: 290826 SHA256: 571725d4546678cbe70e525f38fc66853aa7fda32e27b56dfaac8ce5b674210b SHA1: fb6fa2b9a76d4ed9fec61aeb4972ce88487d5e7f MD5sum: b46e377dd534da6136e6d9d087ca69a2 Description: pure-Python full-text indexing, search, and spell checking library (Python 3) Whoosh is a fast, pure-Python indexing and search library. Programmers can use it to easily add search functionality to their applications and websites. As Whoosh is pure Python, you don't have to compile or install a binary support library and/or make Python work with a JVM, yet indexing and searching is still very fast. Whoosh is designed to be modular, so every part can be extended or replaced to meet your needs exactly. . This package contains the python3 library Package: python3-wrapt Source: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 160 Depends: neurodebian-popularity-contest, python3-six, python3 (<< 3.7), python3 (>= 3.5~), python3:any (>= 3.3.2-2~), libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python3-wrapt_1.9.0-4~nd0~nd100+1_i386.deb Size: 32900 SHA256: babff60c2e8ddaecaf534134d5764313ecf33640d248b73e67a4e9f2683e99de SHA1: 3fd2ca00d13796e244f99033c47cf8983dd3dbf0 MD5sum: 05d9439d2268af18358f7b72cd34c2f9 Description: decorators, wrappers and monkey patching. - Python 3.x The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. . The wrapt module focuses very much on correctness. It therefore goes way beyond existing mechanisms such as functools.wraps() to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour. . To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled. . This package contains the Python 3.x module. Package: python3-wrapt-dbgsym Source: python-wrapt Version: 1.9.0-4~nd0~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 83 Depends: python3-wrapt (= 1.9.0-4~nd0~nd100+1) Priority: extra Section: debug Filename: pool/main/p/python-wrapt/python3-wrapt-dbgsym_1.9.0-4~nd0~nd100+1_i386.deb Size: 46510 SHA256: e21af254d5efbdf7d51767cb07bd547f8d518230031fc6969a52f8474581fdae SHA1: 5ca45cd026b6d63d630e91e6d2001f1dc321b8ed MD5sum: db5ba3a8227436732af8f176e3206f6e Description: Debug symbols for python3-wrapt Build-Ids: 4ffc74ae00e84465044c8eb4cc972b587850bfea b7efba69c4b1a2f68cc3fe50332010079a87cae3 Package: python3-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 448 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python3-xlwt_1.3.0-2~nd0~nd100+1_all.deb Size: 86224 SHA256: 19b956f4f989449097999e1fefa99b7776ec051182d9bee946b00d96f5c7e2c8 SHA1: 1f4a6d84a387a3023867a0bbf509a268c4625c52 MD5sum: 8c3a5ed0479200c7eec6f93fa5b17afb Description: module for writing Microsoft Excel spreadsheet files - Python 3.x This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the Python 3.x module. Package: rclone Version: 1.41-1~ndall0 Architecture: i386 Maintainer: Debian Go Packaging Team Installed-Size: 16874 Depends: libc6 (>= 2.3.6-6~) Built-Using: go-md2man (= 1.0.8+ds-1), golang-1.10 (= 1.10.3-1), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-github-a8m-tree (= 0.0~git20171213.cf42b1e-1), golang-github-abbot-go-http-auth (= 0.0~git20150714.0.46b9627-2), golang-github-aws-aws-sdk-go (= 1.12.79+dfsg-1), golang-github-azure-azure-sdk-for-go (= 10.3.0~beta-1), golang-github-azure-go-autorest (= 8.3.1-1), golang-github-coreos-bbolt (= 1.3.1-coreos.5-1), golang-github-davecgh-go-spew (= 1.1.0-4), golang-github-dgrijalva-jwt-go-v3 (= 3.1.0-2), golang-github-djherbis-times (= 1.0.1+git20170215.d25002f-1), golang-github-dropbox-dropbox-sdk-go-unofficial (= 4.1.0-1), golang-github-go-ini-ini (= 1.32.0-2), golang-github-google-go-querystring (= 0.0~git20170111.0.53e6ce1-4), golang-github-jlaffaye-ftp (= 0.0~git20170707.0.a05056b-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kardianos-osext (= 0.0~git20170510.0.ae77be6-5), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-mattn-go-runewidth (= 0.0.2+git20170510.3.97311d9-1), golang-github-ncw-go-acd (= 0.0~git20171120.887eb06-1), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-google-cloud (= 0.9.0-5), golang-goprotobuf (= 0.0~git20170808.0.1909bc2-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.41-1~ndall0_i386.deb Size: 4618876 SHA256: f3d9fca60ef0cfd3221be8ef088af8a9fc3a2a2c99955034fe6b29a9e18eb42e SHA1: 50b47feb7ce2f1441e1a5cef84f91ef20d1e104f MD5sum: 8c73c00b1e80467960cb535af6d6e58f Description: rsync for commercial cloud storage Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers: . - Google Drive - Amazon S3 - Openstack Swift / Rackspace cloud files / Memset Memstore - Dropbox - Google Cloud Storage - Amazon Drive - Microsoft One Drive - Hubic - Backblaze B2 - Yandex Disk Package: remake Version: 4.1+dbg1.3~dfsg.1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 354 Depends: neurodebian-popularity-contest, guile-2.0-libs, libc6 (>= 2.17), libgc1c2 (>= 1:7.2d), libreadline7 (>= 6.0) Homepage: http://bashdb.sourceforge.net/remake Priority: extra Section: devel Filename: pool/main/r/remake/remake_4.1+dbg1.3~dfsg.1-1~nd100+1_i386.deb Size: 165152 SHA256: 7f3c150bbe5bda53b32ec8c5a9d7266dee3a73037ab34eb523fcb90e0f76c93f SHA1: c9a36800d1210505d49b056358a1af9ee9c629e7 MD5sum: edcee219c59cfbe82deafaf88210878a Description: GNU make fork with improved error reporting and debugging Modernized version of GNU make utility that adds improved error reporting, the ability to trace execution in a comprehensible way, and a debugger. Some of the features of the debugger are: * see the target call stack * set breakpoints on targets * show and set variables * execute arbitrary "make" code * issue shell commands while stopped in the middle of execution * inspect target descriptions * write a file with the commands of the target expanded Package: remake-dbgsym Source: remake Version: 4.1+dbg1.3~dfsg.1-1~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 316 Depends: remake (= 4.1+dbg1.3~dfsg.1-1~nd100+1) Priority: optional Section: debug Filename: pool/main/r/remake/remake-dbgsym_4.1+dbg1.3~dfsg.1-1~nd100+1_i386.deb Size: 284134 SHA256: 3d833dea6f96575697bce97c1a21c0a71903d1712a7c777daef9b09bc8c6760f SHA1: fbb3372d7b440f76ca444539d8150e2755834975 MD5sum: 9beac4a4b52e280a60f746985436bf76 Description: debug symbols for remake Build-Ids: 5e3b2c314787e559765e2c36888a0a6858802661 Package: singularity-container Version: 2.5.2-2~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2529 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_2.5.2-2~nd100+1_i386.deb Size: 326144 SHA256: 4b9785d2d302646166c62f7a95d99613f1da8b199b0534f259373d26ca53df72 SHA1: 4ec8d933c9e1428aa82e56c9c703ff98abf8ed78 MD5sum: de43a11f3917e62e96a327b92a1459b0 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. 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Package: singularity-container-dbgsym Source: singularity-container Version: 2.5.2-2~nd100+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 987 Depends: singularity-container (= 2.5.2-2~nd100+1) Priority: optional Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.5.2-2~nd100+1_i386.deb Size: 799344 SHA256: 0751608dd8fe5d4f2d5da2fe5d1608d19d8c9366198e51204678a11a1629f447 SHA1: a4852f7a079f51e1452a79df41c3597752aa7a35 MD5sum: 69660728f193b88575a05d85b0f3a820 Description: debug symbols for singularity-container Build-Ids: 1bf102c177130423a2326e87f2b6efdb3598f5f3 41445a467ce0a732ba35fcb8634e49ad718a6789 5f6ef2d9b7afa05481e1263c8e35aec2be18b540 5faf8ff12eea828e185c5ec7564005a1b49309ef 8f50901af7fc8b24b3e0065be4f0e71e68e6f80a 9135770bc7fbacf379ecfb1ab4f21bec7ea93da8 92f2ef914866712ec1af874697cf2a983d5c1caa aac6e37244ff4f3e64e52764997147972e334f64 af1c7375ad11b48a4193912b0e2783247d038ab4 b096f260dec9373e2884f3021279f0a9115f0b50 b696285025306f8cc46d3de8c4b83e8039d96ab6 b96c6ae6738be7cd20cb639bf728d213f5e6b426 e89f30976a23b8e8a4ab16fa4396e4954b6b2999 ffc69183737242525d260d440ddc12648298064c Package: stimfit Version: 0.15.8-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3128 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.7), libcholmod3 (>= 1:4.5.2), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:3.0), libhdf5-100, liblapack3 | liblapack.so.3, libpython2.7 (>= 2.7), libstdc++6 (>= 5.2), libwxbase3.0-0v5 (>= 3.0.4+dfsg), libwxgtk3.0-gtk3-0v5 (>= 3.0.4+dfsg), zlib1g (>= 1:1.1.4), python-numpy (>= 1:1.14.3), python-numpy-abi9, python2.7, python:any (>= 2.7.5-5~), libsuitesparse-dev, zlib1g-dev, python-wxgtk3.0 | python-wxgtk2.8 (>= 2.8.9), python-matplotlib Recommends: python-scipy Homepage: http://www.stimfit.org Priority: optional Section: science Filename: pool/main/s/stimfit/stimfit_0.15.8-1~nd100+1_i386.deb Size: 942404 SHA256: 9d678524cd727b8c89ab9ada1febb7abcfe976c993d9c5821ebbe6dccab38a8e SHA1: 3aa76c9d127c58a22ed9bf58561b5f5f2ebcd08e MD5sum: 0e07b66fcd8c7d92dbbad528f0856f29 Description: Program for viewing and analyzing electrophysiological data Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. Package: stimfit-dbg Source: stimfit Version: 0.15.8-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8106 Depends: neurodebian-popularity-contest, stimfit Recommends: python-matplotlib, python-scipy, python-stfio Homepage: http://www.stimfit.org Priority: extra Section: debug Filename: pool/main/s/stimfit/stimfit-dbg_0.15.8-1~nd100+1_i386.deb Size: 7928744 SHA256: 9c3ec56a79a7c4a07348c3d6511d54d014a52ca3fab21347acdfaa3cd1f9c223 SHA1: f4d3b84a94ed4b349b1e3b78b0f5edcb3e086196 MD5sum: f4c007e8470cc3a3c6976e8efc7e284a Description: Debug symbols for stimfit Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. This package contains the debug symbols for Stimfit. Build-Ids: 00ae8007142322daa923e47a84697652c233e3e1 243bc0ac86a68fbb3a3b4c254487bb3122ce4e99 7eed9ce1b6dd3deb2c4d5f00ec50725fc342ea6b 8282bdb339ae9304d0121e2bcf2424475d3bead8 8556d847e211e2c636f335e6f8d35ee7fd99f607 be05b035cf29b119b8027c04c4a8d889e34910e7 f150aa95b9b38e0b3a31d2e4342ba91ab612964c Package: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 229 Depends: neurodebian-popularity-contest, libboost-program-options1.62.0, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:3.0), libstdc++6 (>= 7), libvw0 (= 8.6.1.dfsg1-1~nd100+1), zlib1g (>= 1:1.1.4) Suggests: vowpal-wabbit-doc Homepage: http://hunch.net/~vw/ Priority: optional Section: science Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit_8.6.1.dfsg1-1~nd100+1_i386.deb Size: 61604 SHA256: 3ad57709b86167a9ab2ee579af7513de70312073fb4fdc907e7ab4c81df7e0b7 SHA1: 61b71e8865d62100d54eeab079df37488ad6edd4 MD5sum: 93907fb79a74d0cd9a5f2581a7730cf9 Description: fast and scalable online machine learning algorithm Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing Package: vowpal-wabbit-dbg Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd100+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 573 Depends: neurodebian-popularity-contest, vowpal-wabbit (= 8.6.1.dfsg1-1~nd100+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: debug Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-dbg_8.6.1.dfsg1-1~nd100+1_i386.deb Size: 91356 SHA256: 36b43df07551d838a15ba4dbae98b093f49b12762da1c62a2ddb1fc6ef81bea3 SHA1: 1abe9612f835cf1b2ceeddb2c52c677530990b13 MD5sum: 073b8340bc1d55aa43d5973615990876 Description: fast and scalable online machine learning algorithm - debug files Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains debug symbols for the binaries shipped by vowpal-wabbit packages. Build-Ids: 0333f51b5c07d03de2cd316e8db2dfc73603ac31 2869fcf0d64686b49d93b5c7a7e19d7c636eed3d 495c0979d2da956115f1c4eb3ba260e656893043 6fff75a36bc8dc895ee02060f2e7c5e303b0f91f a104d0c44ff4f85dc2b612f5692634eda121931e bd2647a15664f9a7ac5d8487d13ccc96e93afceb d2f9a5627d13b06aca28b8e81341b7598b290c6f fcecfb1a989f06e0fb4282823235d1c451ed7526 Package: vowpal-wabbit-doc Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd100+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26318 Depends: neurodebian-popularity-contest Recommends: vowpal-wabbit Homepage: http://hunch.net/~vw/ Priority: optional Section: doc Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-doc_8.6.1.dfsg1-1~nd100+1_all.deb Size: 18687264 SHA256: 59c423a97e6e4fabbe64fb7db8509d3cf592694aae8847e268b1bc01c9e7ce8a SHA1: c05fc4cf12b294a6092dc72e87fb39c7edfd7fcc MD5sum: 646cf2ceebad0cc2dea390b07bcded23 Description: fast and scalable online machine learning algorithm - documentation Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains examples (tests) for vowpal-wabbit.