Package: dcm2niix Version: 1:1.0.20200427-1~nd20.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 815 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libopenjp2-7 (>= 2.0.0), libstdc++6 (>= 5.2), libyaml-cpp0.6 (>= 0.6.2) Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20200427-1~nd20.04+1_amd64.deb Size: 204716 SHA256: 051202e3d1e0d2ca7008cc4d70d9764366e01a0da3043c5b4736a8d7bd51d370 SHA1: 77050573b92562dce96e793445e3dad3e72acd57 MD5sum: b207758497a6e7ec3105847bae85f99e 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: debhelper Version: 12.1.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1613 Depends: neurodebian-popularity-contest, autotools-dev, dh-autoreconf (>= 17~), dh-strip-nondeterminism (>= 0.028~), dpkg (>= 1.18.0~), dpkg-dev (>= 1.18.2~), dwz, file (>= 3.23), libdpkg-perl (>= 1.17.14), man-db, po-debconf, perl Suggests: dh-make Breaks: cmake (<< 3.9~), dh-systemd (<< 1.38), meson (<< 0.40.0~) Replaces: dh-systemd (<< 1.38) Provides: debhelper-compat (= 9), debhelper-compat (= 10), debhelper-compat (= 11), debhelper-compat (= 12), dh-sequence-dwz, dh-sequence-installinitramfs, dh-sequence-systemd Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/d/debhelper/debhelper_12.1.1~nd20.04+1_all.deb Size: 1016400 SHA256: ee476c3ef947d723ace8666ca8a40b4d748f5ea07b2ddf63622565224a1e7f9f SHA1: 4bf46ed24d0d4722f66e4cb65da4de7174e26d11 MD5sum: d3c215d394a9d4a171b74e2ec2811edd Description: helper programs for debian/rules A collection of programs that can be used in a debian/rules file to automate common tasks related to building Debian packages. Programs are included to install various files into your package, compress files, fix file permissions, integrate your package with the Debian menu system, debconf, doc-base, etc. Most Debian packages use debhelper as part of their build process. Package: dh-systemd Source: debhelper Version: 12.1.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, debhelper (>= 9.20160709) Multi-Arch: foreign Priority: optional Section: oldlibs Filename: pool/main/d/debhelper/dh-systemd_12.1.1~nd20.04+1_all.deb Size: 122664 SHA256: 6bb8c262c9be5c060d011656f7fd831f22f1b25c17fa48f560ef396baaf3f50b SHA1: 061b101b3407513aa7a8d6a3becd4e8c740695d2 MD5sum: 46a032fe52aa1a2dd78772c9c3cb64c2 Description: debhelper add-on to handle systemd unit files - transitional package This package is for transitional purposes and can be removed safely. Package: neurodebian Version: 0.40.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: python3, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.40.1~nd20.04+1_all.deb Size: 34340 SHA256: 0ce25d39fdc4919d92c9a1ea99d409e80376b78b95994a0e5aef229256cdf03e SHA1: 0233f6a0a449b4818cac262456b58ef8537decd6 MD5sum: 14b6e1a9c29ed640d8b94701f5655b98 Description: neuroscience-oriented distribution - repository configuration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.40.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: gnupg2 | gnupg, dirmngr Breaks: neurodebian-keyring (<< 0.34~) Replaces: neurodebian-keyring (<< 0.34~) Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-archive-keyring_0.40.1~nd20.04+1_all.deb Size: 11328 SHA256: 6b86b69b23b30b87c3db8a3466f1b5526559de3fbe54afbec7cab8da724d55fa SHA1: 7eb3a7f9bc6fde46c0a4a35415fe5a45dac2b3fe MD5sum: f5f72099074e764f6cb8dfe437d62adc Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-desktop Source: neurodebian Version: 0.40.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 190 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Recommends: reportbug-ng Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.40.1~nd20.04+1_all.deb Size: 117188 SHA256: 2bb7e3cbd09666ef18c346bd65511630d6a40da64b2175b94b78cf5ade1ef5e1 SHA1: 7acc025dbef738a0f876e9721f485f841000e74e MD5sum: 4919acdc296d8e18f9c3b1b91492cf14 Description: neuroscience-oriented distribution - desktop integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.40.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: devscripts, neurodebian-archive-keyring Recommends: ubuntu-keyring, python3, zerofree, moreutils, time, debian-archive-keyring, apt-utils, cowbuilder, neurodebian-freeze Suggests: virtualbox-ose, virtualbox-ose-fuse, singularity-container Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.40.1~nd20.04+1_all.deb Size: 34348 SHA256: 58cc7509ef8e8991b53adc789bf3c6314c23fc7e418f951d926c1b1af31d3135 SHA1: ad0fe8a86aefe1fc02a19b32477ead0876b1f42b MD5sum: 808308ce3233b38d0cfc9c5addbe2927 Description: neuroscience-oriented distribution - development tools The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-freeze Source: neurodebian Version: 0.40.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.40.1~nd20.04+1_all.deb Size: 15488 SHA256: d50fdaf4289fce227d1b85aa9c492befb34bc6d31d0db528ff6b2dc5d6f95463 SHA1: d2bd5f6a6574a2dca1ee1211483028ed0e42ecc0 MD5sum: 6a50f4d421a1cb6fc0e68486b8d480af Description: nd_freeze tool to freeze APT sources to use snapshots The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This minimalistic package provides nd_freeze script to be used in rich or minimalistic environments (such as Docker or Singularity recipes) to freeze their APT sources. Intended to assist making such images reproducible. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.40.1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.40.1~nd20.04+1_all.deb Size: 13348 SHA256: f5d9bb3b7f825cf66a3bec2186c2e117012fbeae212a6d9768d69ce8fbaab62f SHA1: 7444da886b654cc0ab25811fbd4c4c0d6800c7a3 MD5sum: b307878f37e19aedf128bb03ed041f58 Description: neuroscience-oriented distribution - popcon integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (either Debian or Ubuntu) popcon server. . Participating in popcon is important for the following reasons: * Popular packages receive more attention from developers; bugs are fixed faster and updates are provided quicker. * It ensures that support is not dropped for a previous release of Debian or Ubuntu while there are active users. * User statistics may be useful for upstream research software developers seeking funding for continued development. . This requires that popcon is activated for the underlying distribution (Debian or Ubuntu), which can be achieved by running "dpkg-reconfigure popularity-contest" as root. Package: nuitka Version: 0.6.8.3+ds-1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7894 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python3-appdirs | base-files (<< 7.2), python3-dev, base-files (>= 11) | python-dev (>= 2.6.6-2), python3:any (>= 3.3~) Recommends: python3-lxml, strace, chrpath Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.6.8.3+ds-1~nd20.04+1_all.deb Size: 923464 SHA256: d029549779d902ecef79969dad67ae82f8156947c75d69d9d3435a37ca239d15 SHA1: 8c7159017137cb9092afa6b74e6183c28785ea66 MD5sum: 13a3df4bc7eeb06aa2443467100a9f04 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: 3.0.16.20200326.dfsg1-1~nd20.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4767 Depends: neurodebian-popularity-contest, octave (>= 5.2.0), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.29), libdc1394-22 (>= 2.2.5), libfreenect0.5 (>= 1:0.1.1), libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgstreamer-plugins-base1.0-0 (>= 1.0.0), libgstreamer1.0-0 (>= 1.4.0), libopenal1 (>= 1.14), libpciaccess0 (>= 0.10.7), libportaudio2 (>= 19+svn20101113), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1 (>= 2:1.6.9), libxcb-dri3-0, libxcb1, libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.16.20200326.dfsg1-1~nd20.04+1), psychtoolbox-3-lib (= 3.0.16.20200326.dfsg1-1~nd20.04+1) Recommends: octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.16.20200326.dfsg1-1~nd20.04+1_amd64.deb Size: 910844 SHA256: ceccc3b267b7f15575ce6331b7e5d301af316bc1b4c6a638d0279c0a04d7f267 SHA1: 4c53a540215c4009865ca1b552250d1fe69b32c8 MD5sum: 1aa7b39c483c0646392c7f674afe2c08 Description: toolbox for vision research -- Octave bindings Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . See also http://www.psychtoolbox.org/UsingPsychtoolboxOnUbuntu for additional information about systems tune-up and initial configuration. . This package contains bindings for Octave. Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 669447 Depends: neurodebian-popularity-contest Recommends: alsa-utils, gamemode Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.16.20200326.dfsg1-1~nd20.04+1_all.deb Size: 24040192 SHA256: fbf61be9578cd10aebfd0e1d920ddfa6c215ab168f36f4bcf7f4748fa5d55562 SHA1: a7c8ae1c0a534406d011535b1fe5cedeb39b2e20 MD5sum: 5327328dfcf6b175a03af4fc16fbbb16 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: 3.0.16.20200326.dfsg1-1~nd20.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10195 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.16.20200326.dfsg1-1~nd20.04+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.16.20200326.dfsg1-1~nd20.04+1_amd64.deb Size: 9147652 SHA256: 889eb273aea29613b2974a20ac46d1f84aa58a0c00c3e61c498234fed30f7611 SHA1: ce2f45ac1d966fd112d9c8fc1cb9c09c72240064 MD5sum: 4e5d07fe4f55b6b450c430da40a5620a Description: toolbox for vision research -- debug symbols for binaries Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . To ease debugging and troubleshooting this package contains debug symbols for Octave bindings and other binaries. Build-Ids: 118ed22044120b36333d8fcd81d1b6a9535d360a 11a88c173f25618317c6e41982ec8098effc1134 28e7ca68f6d9f13e3849390d2de68684ad9b86e1 4945db9ae45f66f5ebfe68dfa793bf4c6496dd5c 6ad496b5121a95b57bb9238e09d5cad66a0cd36a 744609e035d8edf0abc1957d868d6be2115e4ca0 878dc3a1ea33ea6bc5f1ac54dd9f15986fb67156 87d7e8262c9173b8e3e1e3d78095bf563cef7d51 d0147b148a8be9d281deac01dbe4fda1e62bea48 d4627ac263fd1674c35fff4315f53f51e4d1042e f1c01de37dfd7110effd68b635be9bc81b8826a8 Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd20.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 207 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libfontconfig1 (>= 2.12.6), libfreetype6 (>= 2.2.1), libgcc-s1 (>= 3.0), libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5) Recommends: gstreamer1.0-plugins-base, gstreamer1.0-plugins-good, gstreamer1.0-plugins-bad, gstreamer1.0-plugins-ugly, gstreamer1.0-libav Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.16.20200326.dfsg1-1~nd20.04+1_amd64.deb Size: 75456 SHA256: 92f3209ad9efd7a78dfc4a095f659f90f32322dce6cb453d2703c078a1354759 SHA1: c151bab5d6c542b44b2b8380aac2a01dc75d3ed8 MD5sum: 853dd78b9183d10fef816912b913cad7 Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: python-sklearn-doc Source: scikit-learn Version: 0.22.2.post1+dfsg-5~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1172 Depends: neurodebian-popularity-contest, libjs-bootstrap, libjs-mathjax Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.22.2.post1+dfsg-5~nd20.04+1_all.deb Size: 235352 SHA256: 3fff8e6b50e311be7ce55f170223c7495f3f396198dca4e2242a21bb9b77dc8f SHA1: c1d9672a2711f1f0424a65c80756c99803bac0b5 MD5sum: 162bae2bf11e12f98dbaed562dac4e34 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python3-pyglet Source: pyglet Version: 1.4.10-1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5249 Depends: neurodebian-popularity-contest, libavcodec58, libavformat58, libavutil56, libfreetype6, libgdk-pixbuf2.0-0, libgtk2.0-0, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa, libswresample3, libswscale5, libx11-6, libxext6, libxi6, libxinerama1, libxxf86vm1, python3-future, python3-png, python3:any Recommends: libasound2 | libopenal1, libpulse0 Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python3-pyglet_1.4.10-1~nd20.04+1_all.deb Size: 1090936 SHA256: 54a14beeba733609b1b19e78362e797f3f214de41744fd61da073da4e5134344 SHA1: 00db76852730b4648c0849382349bfa53a8be5c0 MD5sum: 1fdf428fe1940fe260b4daae315dd7d9 Description: cross-platform windowing and multimedia library (Python 3) This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. . This is the Python 3 version. Package: python3-sklearn Source: scikit-learn Version: 0.22.2.post1+dfsg-5~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8984 Depends: neurodebian-popularity-contest, python3:any, python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.22.2.post1+dfsg-5~nd20.04+1), python3-joblib (>= 0.9.2) Recommends: python3-nose, python3-pytest, python3-matplotlib Suggests: python3-dap, python-sklearn-doc, ipython3 Enhances: python3-mdp, python3-mvpa2 Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn_0.22.2.post1+dfsg-5~nd20.04+1_all.deb Size: 1784868 SHA256: 3de6b95b04d29e6560863f19ab34889c8a49859e069dde3d0cedf681b6599ac5 SHA1: 69c8a1f6be02b98470cc440663116fdcacd19fd1 MD5sum: cc31fe0908d01a56c4759c56c2d18322 Description: Python modules for machine learning and data mining - Python 3 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: 0.22.2.post1+dfsg-5~nd20.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11538 Depends: neurodebian-popularity-contest, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.9), python3 (>= 3.8~) Provides: python3.8-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.22.2.post1+dfsg-5~nd20.04+1_amd64.deb Size: 2365844 SHA256: 4a0de9395ab69f84530be47ef663f9e91d8e585d6dc59a0967129e15f7e267b7 SHA1: 7c897d1431aca38950e8cd71a06f9ee907d5dcd6 MD5sum: c0806c55ff4c7e7c2a39d55be0091c8b 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: svgtune Version: 0.3.0-1~nd20.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest, python3 | python, python3-lxml | python-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.3.0-1~nd20.04+1_all.deb Size: 7496 SHA256: 240bdd6fbf6a04fb92568327ccb315976cd083e5d377dd1e1116ec4dd9519208 SHA1: bb28298fa99e1e45d518e28dfcd8694068240713 MD5sum: 84cac7290a8c172b9c47523931c8fc73 Description: tool to generate a set of .svg files out of a single .svg file svgtune is a little helper to generate a set of .svg files out of a single .svg file, by tuning respective groups/layers visibility, transparency or anything else. . It might come very handy for generation of incremental figures to be embedded into the presentation in any format which inkscape could render using original .svg file (e.g. pdf, png).