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: aghermann Version: 1.1.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1622 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.14), libcairo-gobject2 (>= 1.10.0), libcairo2 (>= 1.2.4), libconfig++9v5, libfftw3-double3, libgcc1 (>= 1:3.0), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.31.18), libgnutls30 (>= 3.5.0), libgomp1 (>= 4.9), libgsl2, libgtk-3-0 (>= 3.21.5), libitpp8v5, liblua5.2-0, libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libpcre2-8-0, libsamplerate0 (>= 0.1.7), libstdc++6 (>= 5.2), libvte-2.91-0, zlib1g (>= 1:1.1.4) Suggests: edfbrowser Homepage: http://johnhommer.com/academic/code/aghermann Priority: optional Section: science Filename: pool/main/a/aghermann/aghermann_1.1.2-1~nd90+1_amd64.deb Size: 541012 SHA256: bf8888815249762fd7ffb0f6f314d0f60c2b9f2594e071eb09c23a433aeb4440 SHA1: 3874a887f4737637705881116b860195b3adcfb2 MD5sum: b6804052419f268cb985bf5bf132857f Description: Sleep-research experiment manager Aghermann is a program designed around a common workflow in sleep-research, complete with scoring facility; cairo subpixel drawing on screen or to file; conventional PSD and EEG Micrcontinuity profiles; Independent Component Analysis; artifact detection; and Process S simulation following Achermann et al, 1993. Package: aghermann-dbgsym Source: aghermann Version: 1.1.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11807 Depends: aghermann (= 1.1.2-1~nd90+1) Homepage: http://johnhommer.com/academic/code/aghermann Priority: extra Section: debug Filename: pool/main/a/aghermann/aghermann-dbgsym_1.1.2-1~nd90+1_amd64.deb Size: 11779644 SHA256: 1b848a1eacdfbcb5d446ec023ec7e26022ef3c15a6690e17c59da82e07c961e6 SHA1: a6fff9052617cae0c47cf4ab5e2d5b2df67782bb MD5sum: 0333df6ef99295ad5149cdeeecdfc772 Description: Debug symbols for aghermann Auto-Built-Package: debug-symbols Build-Ids: 1ba1b66088b90e22f2f3a510e138c568da701e58 5bd8e73d5b307150e1ab1791b770ecf99be21cab 6c0d8c6ffb74e257b841454b073e5670cad94ea5 acddf47347779cb5bec25de964af0c89bf4b630e b81cf8f3f4fb9ad345e704ab0c8f1e28aa9b882d d8a1e5181ceebe35bc0a6ba786c67c96f4e70c10 deaefac85abd7c8b598c9c294f34e6cf1b9fa9a2 e49bfc0182dab7d0e59325fbbd2db36bdeeafc57 Package: ants Version: 2.2.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 346852 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.0), libinsighttoolkit4.10, libstdc++6 (>= 5.2) Recommends: environment-modules Suggests: fsl, gridengine-client, r-base-core Conflicts: gpe-conf Homepage: http://www.picsl.upenn.edu/ANTS/ Priority: extra Section: science Filename: pool/main/a/ants/ants_2.2.0-1~nd90+1_amd64.deb Size: 39528520 SHA256: 64842923dc8dc89297b45e4e3e996190b69bdb9e3be5e225880653a2334b5d31 SHA1: 2db011b0a464a3626d8fff757e6395cd30a39e05 MD5sum: d5f037607f258d6f22290dbaf522745f Description: advanced normalization tools for brain and image analysis Advanced Normalization Tools (ANTS) is an ITK-based suite of normalization, segmentation and template-building tools for quantitative morphometric analysis. Many of the ANTS registration tools are diffeomorphic, but deformation (elastic and BSpline) transformations are available. Unique components of ANTS include multivariate similarity metrics, landmark guidance, the ability to use label images to guide the mapping and both greedy and space-time optimal implementations of diffeomorphisms. The symmetric normalization (SyN) strategy is a part of the ANTS toolkit as is directly manipulated free form deformation (DMFFD). . This package provides environment-modules configuration. Use 'module load ants' to make all cmdline tools available in your shell. Package: ants-dbgsym Source: ants Version: 2.2.0-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 323445 Depends: ants (= 2.2.0-1~nd90+1) Homepage: http://www.picsl.upenn.edu/ANTS/ Priority: extra Section: debug Filename: pool/main/a/ants/ants-dbgsym_2.2.0-1~nd90+1_amd64.deb Size: 285615966 SHA256: 4cc6fde9e051a78a7e1944cb80a7ffb78cbc8f66c909d903e2f56cecb7cf6bf5 SHA1: 3c7bdc55b9857a51aefbd5d3c82600c4aa4e2b71 MD5sum: a09613025157058e4ae07c8ed436cdea Description: Debug symbols for ants Build-Ids: 002a00b6cee7348b994e243dd96a72bb3d56055d 007819343c33660d344f1a7a304e5f38d442b55e 01104199c98886d5acc3792bd7e487b23aa48cc9 02d08b317bccac6330dac25c7db28559dd8bde90 04f4fd59063cc85bf23639cf002905ea2182ac62 05c793e36f12c08264bf526b63b9d858e0fc35d7 05f2d70ea641a469f3e95446b4fb5536fdcb3e5a 07ebb861c8d964916a4d3a502c6be7003436492a 0813f5ded3b066fe7ddbb6c2eeeb47d760d5355f 0b3ae3f3348bf9a4e3c08137d1e2bf6d34396c8c 0b483b447b156b48ecb30f849fec39298c739e2c 0d415b505025dd9a03d0dbd0d377445f8afe88e7 0d49ed591db669573b99d56a245607fe8032aeb8 0d687e1fb5ad5cf2e6dd3a649ed1491db1b36958 0f9eeb310af2e73fd7b7904d59510b0f28172ab6 100ecb0d420f6a229c789a5b69592827a2aca315 101e951db28cccdab716e412542d6a5cab255b51 103020d12d2b3d3f5ce41a586d9ed1ad88a78691 149c78f7d06667cee27384e7bf7060499aca80ef 1537c1f9f31e0661fa8cd7a30b9994a94ea9613a 1a24b926dfdd59f8f78b15d328532da846382039 1b546d5873d06764ba2965264bff86569ad0fba3 1c6abb4a1c98bab8cdc9e5d59f6702459b1107d8 211207a554686c5068e6c50d77e8540dfa9cbe26 217793cc4c1b8458dd2b348c79674b72c8c1985d 2194ca708f10b053934dcdc1db0302351daf79b7 25584e2ea9f88c24f8f06e35f54030b39fcd0082 25f426657471c74f1d4e45da2855466dd024dd4f 2730f47f0fa44b50768c3564c78a4fe9cc8317e3 2797cc13e2d0ae3709ceea42febfbc28857b64f5 2851f023543161680692ea39ea2070c1e258fd0e 28fa0c2e0d33ad8bd29a42b15787891c6cdbe369 2e5afd6c63eda85e12a76174064324b0c58338d2 2eedb05b998616ff6e28060f169e6f670f830e23 2ef574122cf3a57650efe7da0fae17a78d09e31b 3130773e30c5d319353a4dcac9cdfd0e4efcbb1b 31d1eb6f25f2d299ad2cd73eb774e7613f3c72e1 321f9cd7d4989d5d5984c0dbd85a6fed8b831ada 322ae196714826ce3bf129136849b17f4b2f8d20 33e76a52169e07345f76dd0efb8968409163aabd 3701908ea271315a5b04a2ba872c3d054f67baad 3702fef3b6fb879da0756045a7b52db46bca1204 3b3ea0647f52b64df06dfd38532d4ba3c75701e0 3c2cca9e534e83f816b666b4571161ae7ffd0c01 3c69b860e0c30bae338b840fd2ad03a91b5849be 3cccd9b2b0ee48a42393caf4b382b7342f28cdbd 3e8ff9d29fab1120332d2b404b5dcb0ea995a1df 3fcf4241406a9d556a6c00c39dcc617cddc6a887 4175d0eff06999f6c10ecc4f3d9de1891d248f97 421e9ba9440b555465caa4bfc28731d249072d64 43cfc84bd6741dafe29e86cc8660f0e423eb519c 44eb7aabe91fd59aed38d6541fb06bc100ee920e 484c51f7ba9aff33f03b1602c800a5fc0f059927 48f1b64fe2d31fef7007f0d8ac663ddd5c0fe6d2 492ad80b16a9076e48e47f2c4e21bff3a3b3d355 4aca9e603c5cdc9aea0ea49f1d1c9c6725427006 4c6ef0b2bf1552d6e275d8a02cfc80e5a80d2535 4cdf54b500716aea711debe8573cf501f81daeb0 4fabdb7b9f49dc1d3e7405cb2b80a82754b325a2 505ea32cd6c766aa2492b1f518b840420f1dbe27 52565bed0cb0c747c4e287181b0ebd4cf57f5961 53ed61bfddffbf46cb024ea29b06a407d8e482dc 5571155603aaaec6ac733797a767cf2b9426b94a 5684e689e557e7e841de72f0210e1001bb45b1b8 596e7f385f7cd451506551a1d9ae3bf2d633530b 59946260b0a700b334cb81b12d8eec08b45070e1 59c910b354848eddea9ce0a1ea9f9da091a9023e 59ed34f5bbe7bd9beac6d9486cede34c8936321c 5b1a3374556ec7bb874ec14443bcc9b34cb8ee7f 5c8361d3bdd89c5a1ebd9ef7b19303d6c54a9a8f 5d41136715810044eb46da668123b197911670fa 5da63f7f4f23d5cc9686c040687225a56e25f0e5 5efbcf464dec0fefcb1d94184f4a27bb226cf7f1 60e4c77efdacce66b913f8ef65bcde9bb85513d6 62368c7bd0b631f9230bbc9570e6d0fa16c1633a 637f1557b3d5cf861d240f2b76c1c5f6e61fcc5b 63e397efc0f515db0c95faa799bc76d2b2915146 64d6510cc9bed92c1cd04847d419f7499d59d6b2 65b3b0eb93db0f2c033e87499a72d6f221588998 65e5e8b0d8294f21f27dcfee5b39375feb122e47 661fadcf218de3afef7d9a8e74f22b50dcd0c09e 6622bf35ae8fa9adf59927f62c7a548d276fdcf2 669ad47668e8ab65d1e156fe1790d211000c0430 67b348e8ba44284be8450c7f7240d49686806b7a 68304fa957a53d03d4765a6003ada930c28f48b0 684d0cae5edaf068846ae1a5b029d806550e4ed2 690519421916646970796663423a6e931bccec6e 69409af122ce3fbf40d4f27c230c523203c70400 69fe92118afa4cc7ce3f623dcc2d2da222c00ad7 6b4e7c04f10b3e6b0a9df882adebe5f3a48ce76e 6b8be8618c783e3ce5574dbb02fdca01c26f6d11 735540a5cb7035e3bb579ddd8ceb00e079c742e0 765985398a04aa16f8de41c694b92546409601dc 777dd51256df1fcf8a2e29f481f7355a611520a7 788f7607ead946ecb9b257bcd99c21a8d6a27ce1 7ac8a85d99c89863ae54b0144dd21aeef138f51f 7b58beee86bb8698a73948682aaccee660d5520e 7d6036383041a5337dca7f41e8b83a43ea874a52 7dc84cb69075521f05b6d69a9d64eeffa42355df 7e7cd305dcfac5b106c3dc41e8981329c2e4526e 8022ea82378d5775611a1f8fe1965683bd9cd801 824835eb6a7a743568aaddeb298f2f49ca4d1c0c 824965e46478a974244d7261d0d70b601a046444 82bc16534e2632dd41c718b7a9a37d6873ab292f 8475b0ddb676416142494e5d1a63e49811e82366 84e04100cdc5b4da55492d3c9250ce50c4e24a3f 860222df1d43cc7704dfb5c876a849d3c6962d9b 868e81a0ca8be2eb77fc7c57ff38e59cc4f3fee2 87398408e4e25f25953e94a4d78133c1065d808c 87493234b650225067046b2e414a371e23eb354a 8777ac8b262927b21b8dea328c620448596d04a6 87f3bf93b67bbc38dc6652a994d1f319106435cb 8a030eddc8f019c8d4bb13f1e0d76c0f20a7dba0 8b8744ef64d4be3233ea5b1db4dbf26defed1748 8b94be464b442285f683cfd1cdcb420112cc0d46 8d84ebf9ed53ffdc2f4ada3f68a83c3ce20c3aa2 8e3d9993ae9041ae78a30faeb3079de35bb6f283 8f37cf923f730abd985a0ba85dd897ceb2c557f8 8fa0ac1615a5cb85889fe7268132a7de19978fd2 90833c275c1c649b777646fed8611ea15d33320e 937f95727a518735a6d9295d3fc3b2004e06a39b 93a00f5b0deeac96062455bff0496dead2070ac7 95d216a947285d7b0c254a223882d0f6ffb58eb1 95ea0a5c236f16490375e39b08a76567040a55f6 9624835b7f90bda7592d0862624ec82b47243432 96afb6db3032afafbf567019c79a311a834843c7 9995d41bcea6bfc65e4742d1190af4c5bd60a459 99e50d8e35657a9763f8f38fdc7d1f944ac6cbdd 9b37f613f400f404b5e52ee87190bba94f5c575a 9d7e009feeabeb9909dc29ae238491bb96ead152 9e258e663477973316f2f9dae8fec1501a483cad 9e375cabc9d2518b0f0336c305b1daff3da00a3a 9e5f97ac016ae4ffaa939f3ee3ad00b51d18e65f a138831101a34fee207c0ffe0815978215ed72fe a2f19e619e6e8fa11eea075cca9fb44a8ab4cd1d a355d609b46b97cf816c8e1ff02f0814979d37d4 a3e3e914450ccbdd2b8a06320f062e9e3c99c7cd a497960c16cb94f4e76ecba4f61d64065d676df6 a767cd1ae69e859466adb4cc063d81027bcfd0f3 a837313cc3028faca45b2f5e5b08a372b1bf012d aa8720be17eb6644ebf8fa75c49ea4a99524ab90 afad3652310251a13eb54c76336022e6d14fbefe b170c859a1b990803a074b150bca20862923170f b180644ecd3af52f82ba4a02caeb063b9bcbb651 b4ffdb46888a900928521c4fc9551fd7c1bcb035 b66fc1f876238f445abe0c7f15d37c6fef1cc0c3 b697fb3e8a2956aa1d46a686bab37096a4cc6cae b8307ecf589a936d1e3f2e7193cfe2d4ae926d45 b87d1478b4ea2de9ae8c8e766be954af4c80db83 b9bb6b0655b86944268835cacd11f6a435983843 be546a0f50cf2e933c3f72ae368e934b1e919381 be6582987be9fb8d73b1e3e1d19dbbeff7f2290b c02fa44f3ec22b8506d7f4e4e24d9db76a3bdebc c04a728ecc3e3b7c3a8c6d5eef0a36a59a9c7ab8 c1ba68e896b7fe1e8c253472b6ecdabec2a01576 c67d41d5fabb9fe4c811ef68357b4430ca4dbb5b c6911121c84953243ba0fd66c17ea69466492883 c8d09f6911b567beec28b1064c21f874bb5602a2 cc76148ed914cae83159f4e7195fa00b26afdf5e cda50c755e2589c0468ef4665ee62d2d3c50a5eb cef1b15cd3064e290dcb2a8963a98a8038bf858a cfd8f1eec07b8ea826665dd1afe192259dadee6d d166c70a84dde938cb8750cc75ea4dd48238bc1e d17137867c26f765b84529f0d8933226ea4e1117 d41beb5cd3e7e17e897c04a1df784baf7fc68b71 d62c68bbc153f2fc47cf231c3dd7c3f963dc85d6 d68796eb9ab8a2aa62e79c32fe0ad42e2e2359a8 d82592d4ab07c69f3756b8e5567fd432489c0f00 d86d8e4568294c71c610fbe6d7c94f1f0d0309a6 d8bc0bee410a5f8935d3bdc4822a8526ace09f5d d90270c83298808ce6494dd3903fa8b726f9a910 db4b4c4fb0b0c08d6ed607511d3987b28ce650da db7fdb7be36f1846952d28962d352b5c6ba4511b db94990b548039972831a0facfe282bae4d9a346 dd616341d4b2462644c87a09623d3c30a0c40695 de5dfc66b0b2baa8c79f42c66e9e00a2e307440c e0db0db40e48208d14c1f9f9652bf0184d0ad70d e7a8365adbd3f8bf02740a85d21dffb67cdcde2f e8541fdd6bd2ef6de7ade55e23ac24abe95cd7c7 e8f6c1d10ca94e79b53232a77fa2891043d23893 eb292f999fe1fb4ba9feb6fb52422da83110d076 ed6a7cc1aa13aa55af3060ebed85d415f2381355 f2eb73fde1bddebaf9b23b04ff5a9f6474f79cc1 f438987bd2ec056e43987a18ddd8a2e366500118 f47f40e3520f1fe93e7c0354e632ca81e7faccc7 f49859e3eae395893b88f1ebbd52b7d8cfcb0097 f75d5825570f145b4e883c6d4585c57c9d72b431 f7e1ecc8e383e80bef1d5623fdd1cf8909afb2f0 f9171d63acf770fb57ff40278c1011a41f6a5726 f966be25a2971703990befab304d797aac6462ce fc755e930870539067d80db9ba9f3da936ddd975 fde9834bd2fd3d00d1a92b6be1b3d1014a797b26 fe37c6edab6408a4c281036bc61e65fa09495ce9 ff3753faf4728c2232594630e83a9071ec4a6126 Package: bats Version: 0.4.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest Homepage: https://github.com/sstephenson/bats Priority: optional Section: shells Filename: pool/main/b/bats/bats_0.4.0-1~nd80+1+nd90+1_all.deb Size: 14426 SHA256: 70825f0e6845181b88902047cd7191b4fb222bb5fce4aed35e1cdb68823cf664 SHA1: 773936e0d736d5819cd688087d93f4e110652c10 MD5sum: 023d79d882ecaed97b5121b86834d8b3 Description: bash automated testing system Bats is a TAP-compliant testing framework for Bash. It provides a simple way to verify that the UNIX programs you write behave as expected. Bats is most useful when testing software written in Bash, but you can use it to test any UNIX program. Package: biosig-tools Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 683 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/biosig-tools_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 240842 SHA256: a4281a2191eeaeadd0dac4231deac526cdce2f959642beca468e5197b4ff619f SHA1: d9b2654a8e8b778422b24f52d8c06f4a70975006 MD5sum: bfd4556833df8a36cd21a7b38fcd4cc4 Description: format conversion tools for biomedical data formats Based on BioSig library, this package provides command line tools, such as . - save2gdf: converter between different file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF, BDF, CWFB. save2gdf can be also used to upload or retrieve data from a bscs server. Package: btrbk Version: 0.26.0-1~nd90+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~nd90+1_all.deb Size: 85894 SHA256: c1b0b406a6b114b286daee615900cfba3431c3c5e9457a4ca34415fa215595af SHA1: 0de0216fdf2eea3fad97fe4875360a7703a3f42b MD5sum: 6b29673f01445fb4b6cd036a556c9dbc 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: btrfs-tools Version: 4.0-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3393 Depends: neurodebian-popularity-contest, e2fslibs (>= 1.42), libblkid1 (>= 2.17.2), libc6 (>= 2.8), libcomerr2 (>= 1.01), liblzo2-2, libuuid1 (>= 2.16), zlib1g (>= 1:1.2.0) Homepage: http://btrfs.wiki.kernel.org/ Priority: optional Section: admin Filename: pool/main/b/btrfs-tools/btrfs-tools_4.0-2~nd90+1_amd64.deb Size: 475126 SHA256: 8f0a47d72ad52995d19ea73b2b0c9b86c588681053af36e01bb3a3cd872a3452 SHA1: aba1277cbf5575d0654b99c63d268bdad84de00e MD5sum: 279191e42edfe901b3ceda0c891b551f Description: Checksumming Copy on Write Filesystem utilities Btrfs is a new copy on write filesystem for Linux aimed at implementing advanced features while focusing on fault tolerance, repair and easy administration. . This package contains utilities (mkfs, fsck) used to work with btrfs and an utility (btrfs-convert) to make a btrfs filesystem from an ext3. Package: btrfs-tools-dbg Source: btrfs-tools Version: 4.0-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4903 Depends: neurodebian-popularity-contest, btrfs-tools (= 4.0-2~nd90+1) Homepage: http://btrfs.wiki.kernel.org/ Priority: extra Section: debug Filename: pool/main/b/btrfs-tools/btrfs-tools-dbg_4.0-2~nd90+1_amd64.deb Size: 3880988 SHA256: 546ebee0cafadcaa1ccbe5e64ae819d956b6e2dd882f01083d561fb71b51a240 SHA1: 8357ca1e65a19540a407975bfd022c8fb521143d MD5sum: 0576a252b3734d2eac65530b52daaead Description: Checksumming Copy on Write Filesystem utilities (debug) Btrfs is a new copy on write filesystem for Linux aimed at implementing advanced features while focusing on fault tolerance, repair and easy administration. . This package contains the debugging symbols. Package: cde Version: 0.1+git9-g551e54d-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1037 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Homepage: http://www.pgbovine.net/cde.html Priority: optional Section: utils Filename: pool/main/c/cde/cde_0.1+git9-g551e54d-1~nd80+1+nd90+1_amd64.deb Size: 145956 SHA256: d9a0fbdc9697516433c89a73ec24947d4b8bcc1855a1a51f9c24518635fc1bc3 SHA1: 1731d3592d00e08ddffdfde2e6ee31360c0a050a MD5sum: 6bc92e5b3a6547a69cafde6b16442555 Description: package everything required to execute a Linux command on another computer CDEpack (Code, Data, and Environment packaging) is a tool that automatically packages up everything required to execute a Linux command on another computer without any installation or configuration. A command can range from something as simple as a command-line utility to a sophisticated GUI application with 3D graphics. The only requirement is that the other computer have the same hardware architecture (e.g., x86) and major kernel version (e.g., 2.6.X) as yours. CDEpack allows you to easily run programs without the dependency hell that inevitably occurs when attempting to install software or libraries. . Typical use cases: 1. Quickly share prototype software 2. Try out software in non-native environments 3. Perform reproducible research 4. Instantly deploy applications to cluster or cloud computing 5. Submit executable bug reports 6. Package class programming assignments 7. Easily collaborate on coding projects Package: cgroup-bin Source: libcgroup Version: 0.37.1-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 190 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcgroup1 Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: admin Filename: pool/main/libc/libcgroup/cgroup-bin_0.37.1-1~nd70+1+nd90+1_amd64.deb Size: 55432 SHA256: 1ac7d43228cbae409267fd4ed88c8c4047506e7772dc031aa7615ce0099cb674 SHA1: 3725bb8bf58df2d64f960db8007b2ffd84d03166 MD5sum: eca3f8eaf30792db27023daa4b0282b5 Description: Tools to control and monitor control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . These tools help manipulate, control, administrate and monitor control groups and the associated controllers. Package: cmtk Version: 3.3.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26283 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.14), libdcmtk8, libfftw3-double3, libgcc1 (>= 1:3.0), libgomp1 (>= 4.9), libmxml1, libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsqlite3-0 (>= 3.5.9), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Recommends: sri24-atlas Suggests: numdiff Homepage: http://www.nitrc.org/projects/cmtk/ Priority: extra Section: science Filename: pool/main/c/cmtk/cmtk_3.3.1-1~nd90+1_amd64.deb Size: 3690960 SHA256: 37590ed65e6f4cbabeeafd07a7cd9302f5cc2c5b10c0955e8416d060be431d09 SHA1: 56368a2917777a001bf090e759f3a40d0af7d28b MD5sum: 46743df2290361afb080de4f68df119f Description: Computational Morphometry Toolkit A software toolkit for computational morphometry of biomedical images, CMTK comprises a set of command line tools and a back-end general-purpose library for processing and I/O. . The command line tools primarily provide the following functionality: registration (affine and nonrigid; single and multi-channel; pairwise and groupwise), image correction (MR bias field estimation; interleaved image artifact correction), processing (filters; combination of segmentations via voting and STAPLE; shape-based averaging), statistics (t-tests; general linear regression). Package: cmtk-dbgsym Source: cmtk Version: 3.3.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11751 Depends: cmtk (= 3.3.1-1~nd90+1) Homepage: http://www.nitrc.org/projects/cmtk/ Priority: extra Section: debug Filename: pool/main/c/cmtk/cmtk-dbgsym_3.3.1-1~nd90+1_amd64.deb Size: 1023998 SHA256: 97ff30b14749fca8d2c3c4f3001959db43996f10ed4d53fb9d21da1edfc983f4 SHA1: 69e0e58622d5cfbae61f89173f4f3d5c673aa1ea MD5sum: ae1231043fc180d4ed3834dd39086642 Description: Debug symbols for cmtk Auto-Built-Package: debug-symbols Build-Ids: 01481a11039be82e0a106f9565300081428121c1 09e9863cc2337f301eb6f0dfd567cbd22c1a5c4d 0a5a79e806392b66a40ab16fc1953ddd225f3ec3 0b95a687ae769131250f896b083d0fadca0a32f9 12619d2c227cbc92d1badc5cd8a8c3b8d17abda8 14eefffda42ea543135fe094b72886c2d78b1e17 166cf9de3335b4d9d3c958831c3da35ddc3319b7 1918f1e37a8875e1f234381fef9e694cedd900ea 1a9158949ea1bdf0e88fa78050d83152866e3df9 1ab8ec16d76497fc01125fad65be5670d05ad5ce 1cb5d93952fb21ce8bd3efe51886b48c7aa4c2ba 216ee9c44b6e0dba781628b312874740759948d7 2848402d4e15a77c6a6326764032d0a96d8b0fa5 35d91f59c10b606b8546a87a7d70c7a551391800 3873f5b1e768bd32f49903bc581eea710ec334db 38777ac47b2c66d476a6f3f9ad52002db27ca80f 38b242189c6da940db621c86f6952436a1202a42 3f54e1448b82249d4f3e5abd2e195bb93aead2e1 4603958c72572157b69aa374eb919e0b0b5181f3 4aaf5e4655b78806d71682a08f717c762bcf86ce 4b48a8590fef3826725059fcb555aa27f8d71ac3 4e1e5ab21fe26793bd0305ac5b203e7c258e67b4 512e655e29347015e3b8a0199d091eac69bb0d90 54eeb0493ef255ed9e6926f35cde7eab6a0e2ac0 5615d7eecae6d4686be501af057c5c0bb0f123f8 56dba5aba4b551ca33a829bb206e038ccbf61e4d 58511b978d7c000f493ba71657f298ac52425ede 5870aeaa731504d3e4f6fb3d400a4dce80dca1d0 591ceeda58abe40dc1c314a26b623661c3207d6e 605a8d542e25984a6bd6ecd382576e25c2c05432 6071bb599750b210e40b8a73404d519a2410bdf4 628e4271ae28082c349915407889ed93bf8e66e9 62f504530200a0c576c958bfdc89d855acb60d47 62fe502aff1270adba45d0b550da09fd28a5971b 64b8fc2fb03a3702ac752ce58f82854bfeb259a3 6911c1f967a2649904a055f7354ce106bf057a48 69947b3f7778b6fb74b095ffdb2e8e73a68a813b 6c1c81d0ae96bf256c2d680516bea7c0949a3351 7063058721351ef8197356b118b2b09d3abd84ce 75c82355259726a7f09821aea0393e0ca62ab46a 775deb3e9bd9569263c583085a5968552cf11ba7 7b164e9b24668f78f2b3d5320ad4cbdfc04853ee 7b782c4cf03b2545872578eee74222c5b2cdb118 85550b962431836745b84de31fe321da8cf85ec4 8643d1d51263941927de9d758a3d6232bda2d523 8c5c0f676faa37aa460cb97be030840590cc224c 8ed4924a8ccd87494be7ae6b7e207e004abb35b2 913de257a4137b486be07982c848dafc69b78296 94617f611dea46700997b160c96b216c6a830440 9816092bffd801bef01bb3f37d6cd118118df3b7 9a29bbdb1f162d5704cb8ba7ccbb31689b00fb05 a0a3e145648e2832440422c23791a5f59e1481e7 a6ecb51062aaf7760c8f112a25c9046e244c14a3 a70e1274990a1ef80a932327863820f343c8b808 aabbcdcde69cee945905cc383ffea427e259cd02 aed41af2caa39b50a59ae29eddffe9abd77f312f af50f4ad3ce7692819b3dcddee17d099698e1d0d afa73dc19de0813b864b8363707aa67eb951a633 b3263415da25ff4768e5924fa63a45126cab0143 b350d356109eb2d88284473319373f4fdf78b46e b392bfbe1b1abd1dd0b4c8ab3b09906f064f0372 b39f2ff0d6733877bbe4ef3a1b17610dcbd7583d b46282f6aafbddd2d7749aef19ffdd79b778e5e5 b4699e00f05bc52fcf593473c0ccd323b0ca46c5 b703a7cbc74fe70d2456940854340bf4c7cd336c b949cf115d01a6cb0439bc1d35e35d46776e40f4 b95f1193a89cade3ea5dbd6d532941a06780d522 ba7f454d0358ca0935e4f0c8e37b6eb9e49cc4f4 bce8370ae74f62003bf24f1f4ad300af650fb830 c327001e3a734593c38ee4de95f3da44e26cbab2 c5d1ef1735a683831ec4318a8447b232cd8eeac7 cac0311d7587e17bd78562b1d0c09256dfbf1298 cbc0bcf3e43bc48b49a52315aaaaab99010eb709 cf642f4fa6db1b9460143216c682aa9d784a2b0d d15f71769860b26dc627a18a2d901135a9301681 d3c773211a24e758fecbb26140c3b6106bdaef12 d3ca0dedb0a5c6bb8af651ef41309a85e503626b d46fd67f375175e7dada1481f2295578faf55fb7 d552d588a49dcaf1b08d8660fae1c3b6895a50a9 d6223eff25441806c68d885d040b87b8745c8887 d6d9c6d4f2a36fc938c538e3402111c7bda6e112 d97cb9561385926a3be57f76ef033c4d9cdb9946 da6135203babd5773bbe25ea592f82db04eb8c7f db70589f7a2873598321afd884fdddb664824920 e250e4ec59627df9ef87f5143d5a5d48d95ffc81 e251772008734540768e33bd0f84db70c3962115 e3be129a8b7a09e14841f0e6dece12f51d691257 e640ebbe52e8194a17b75eb5657ba175d5d92dc3 e8344747bb209ecafe0b48ea743897be5b0422fb edec66b6774fabd4998edee4228e4e86fd4ff896 ef1ccecbdaadc69b601a4a1a80daa9b8ac409622 ef8a439d56df3337ae111cb7add330d5adda9102 f9f0f7b17addc28b7704095154296ce2a415e3eb fa7ee459b1fd153fdd360948ce45150b054a7e30 ffece004ea8c3f5a4951388a782f2a652a3fc977 Package: cnrun-tools Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 72 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcnrun2 (>= 2.0.0), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libgsl2, libstdc++6 (>= 5.2), libxml2 (>= 2.6.27) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/cnrun-tools_2.1.0-1~nd90+1_amd64.deb Size: 21812 SHA256: 25fa8e7460fdd295a9aeb87486cfde58b87c2db0a25b7ea6bae6c4f1e0b4445b SHA1: 96e44b02deeb72d49cc64c9de847f6acea5fa1c5 MD5sum: 3b77e2ac0d0fb97e537945427ebf02d4 Description: NeuroML-capable neuronal network simulator (tools) CNrun is a neuronal network simulator implemented as a Lua package. This package contains two standalone tools (hh-latency-estimator and spike2sdf) that may be of interest to CNrun users. . See lua-cnrun description for extended description. Package: cnrun-tools-dbgsym Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 132 Depends: cnrun-tools (= 2.1.0-1~nd90+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/cnrun-tools-dbgsym_2.1.0-1~nd90+1_amd64.deb Size: 104534 SHA256: d86ec7488d1ad34f306701d04864820528fc2f6ec8fcb05e2eba0d40e5f38255 SHA1: 90d506495ffee6b86c8c5256a0511346fe5be6b3 MD5sum: 4ffb9d7cb48e8abe2cd32a7cdfde21f7 Description: Debug symbols for cnrun-tools Auto-Built-Package: debug-symbols Build-Ids: 29f4097ca698b1850bd8d3d9519bf4c268d1fba8 8712d435fd2c5111faa651f62498d65a58e07f9b Package: condor Version: 8.4.9~dfsg.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: neurodebian-popularity-contest, htcondor Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor_8.4.9~dfsg.1-2~nd90+1_all.deb Size: 16196 SHA256: 0acf0be9f1de9ca3b6d0bd4185b7595fa47085caf72bd76e26ebcf620878e29d SHA1: 0bc63d7d7d80337f5ffc9cf6f7fadb44d7d23f23 MD5sum: 77515d9e0485baa39675585598391a92 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-dbg Source: condor Version: 8.4.9~dfsg.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: neurodebian-popularity-contest, htcondor-dbg Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-dbg_8.4.9~dfsg.1-2~nd90+1_all.deb Size: 16212 SHA256: 89b86f4d50b98465ce37bd8bd7a64540e517e32774cf7010493c7931a00fa988 SHA1: b3f5108310614fc9b60f715b85c14681e9c26d23 MD5sum: a23c50a39c9a3f919dd50da282ddef66 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-dev Source: condor Version: 8.4.9~dfsg.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: neurodebian-popularity-contest, htcondor-dev Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-dev_8.4.9~dfsg.1-2~nd90+1_all.deb Size: 16212 SHA256: 2181ca8aa122f4171d00dd59637f8e86662f11e02d89b6187d53568525851764 SHA1: 8f5b9a29788b17bf9d1f4d53a6e92ba2c6767417 MD5sum: 48eb45e1c5e9839734acf464ed4158c3 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-doc Source: condor Version: 8.4.9~dfsg.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: neurodebian-popularity-contest, htcondor-doc Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-doc_8.4.9~dfsg.1-2~nd90+1_all.deb Size: 16212 SHA256: 822037776d6a593d581587de00dc40fcbe57b0a09f3f42a2c0afe3e060ce94b2 SHA1: 1669aaf388b1037a7e99f25b62da5786b55b49d4 MD5sum: 048eb0710fdcf38c8238b63e8ba4f31d Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: connectome-workbench Version: 1.2.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 51176 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libftgl2 (>= 2.1.3~rc5), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt4-network (>= 4:4.5.3), libqt4-opengl (>= 4:4.7.0~beta1), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.8.0), libqtgui4 (>= 4:4.8.0), 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_1.2.3-1~nd90+1_amd64.deb Size: 24917324 SHA256: 1e5217ce9a6c002d963ff878dea8d96738519ea27efba76999018eab3df81ca3 SHA1: bed51bf31784ea904bf89f2f2c69f0f1fce69909 MD5sum: 3e0167951d605ea472fa9624448bfc20 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: 1.2.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 131686 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.2.3-1~nd90+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: extra Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.2.3-1~nd90+1_amd64.deb Size: 129249572 SHA256: 3cd55993b6c28a245e32803150cd653f7752c43e57dd59885157032f2a6141ef SHA1: b44342cf2ae15e11acff749fac7b600a1799a24c MD5sum: 666e7cc1c2e8ab000a098fc0cdc0c418 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: 2177603fb5020b4f3afb43ef25e0f76a846db011 d027191ecbe9f5a13579b59b7e502ebe8d6af1fa Package: connectomeviewer Version: 2.1.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1652 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-cfflib (>= 2.0.5), python-networkx (>= 1.4), python-nibabel, python-numpy (>= 1.3.0), python-scipy, python-chaco, mayavi2 (>= 4.0.0), ipython Recommends: python-nipype, python-dipy, python-matplotlib, python-qscintilla2 Suggests: nipy-suite Homepage: http://www.connectomeviewer.org Priority: extra Section: python Filename: pool/main/c/connectomeviewer/connectomeviewer_2.1.0-1~nd70+1+nd90+1_all.deb Size: 1150994 SHA256: 1010e605b6a3e8827a5299a1ecf248cb610c8c3bb77d922740cfcba689bc981c SHA1: 32ccf0c290df8fb04b3b660d507e3a0f0125b9c9 MD5sum: acbc76e7ac065581a48f09e5bdfb4968 Description: Interactive Analysis and Visualization for MR Connectomics The Connectome Viewer is a extensible, scriptable, pythonic research environment for visualization and (network) analysis in neuroimaging and connectomics. . Employing the Connectome File Format, diverse data types such as networks, surfaces, volumes, tracks and metadata are handled and integrated. The Connectome Viewer is part of the MR Connectome Toolkit. Package: convert3d Version: 0.0.20170606-1~pre1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 64490 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcharls1 (>= 1.0), libdcmtk8, libdouble-conversion1 (>= 2.0.0), libexpat1 (>= 2.0.1), libfftw3-double3 (>= 3.3.5), libfftw3-single3 (>= 3.3.5), libgcc1 (>= 1:4.0), libgdcm2.6, libhdf5-100, libhdf5-cpp-100 (>= 1.8.13), libinsighttoolkit4.10, libjpeg62-turbo (>= 1.3.1), libnifti2, libpng16-16 (>= 1.6.2-1), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.7.0), libqt5widgets5 (>= 5.7.0), libssl1.0.2 (>= 1.0.2d), libstdc++6 (>= 5.2), libsz2, libtiff5 (>= 4.0.3), libwrap0 (>= 7.6-4~), libxml2 (>= 2.6.27), zlib1g (>= 1:1.1.4) Homepage: https://sourceforge.net/projects/c3d/ Priority: optional Section: science Filename: pool/main/c/convert3d/convert3d_0.0.20170606-1~pre1~nd90+1_amd64.deb Size: 9884878 SHA256: 9cc9f611ba738edbccc3ee7e8e4c336a2db6a4582e6f7b3e6ebf1e6ad89a0930 SHA1: 77e7f34d2fb4c3f046dcf423a2ab505a304b1c4f MD5sum: e55eb86e245482bcf3a1e13d1e84dd48 Description: tool(s) for converting 3D images between common file formats C3D is a (command-line and GUI) tool for converting 3D images between common file formats. The tool also includes a growing list of commands for image manipulation, such as thresholding and resampling. Package: convert3d-dbgsym Source: convert3d Version: 0.0.20170606-1~pre1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 171788 Depends: convert3d (= 0.0.20170606-1~pre1~nd90+1) Homepage: https://sourceforge.net/projects/c3d/ Priority: extra Section: debug Filename: pool/main/c/convert3d/convert3d-dbgsym_0.0.20170606-1~pre1~nd90+1_amd64.deb Size: 161181160 SHA256: 9891f0ea2630ca7be488783ed1aef489c7f71f1ec16787aac25d5c164cf38aee SHA1: 9f450472722cab59b06e1a2855e82b35b19bf8b4 MD5sum: a72bff88a37886ab9f79e29c47c3507c Description: Debug symbols for convert3d Build-Ids: 58616649cb07d2ccd33eadb590b128531819cb31 708f9402f76e3bc453a7eea47dfd82e59e6711b5 c497129334cf6942dce1908f908a874b43f60308 dfd4dd87b86913c8ee8e7ede5a711a693ad9dee8 f814b29924c82616c0898ad45b989db2f7128814 fa83ef136b80187d2e8a533716318936aa56b5c5 Package: coop-computing-tools Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4098 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfuse2 (>= 2.6), libglobus-common0 (>= 15), libglobus-gss-assist3 (>= 9), libglobus-gssapi-gsi4 (>= 10), libkrb5-3 (>= 1.6.dfsg.2), libmysqlclient18 (>= 5.5.24+dfsg-1), libncurses5 (>= 5.5-5~), libopenmpi1.6, libreadline6 (>= 6.0), libstdc++6 (>= 4.1.1), libtinfo5, python Suggests: coop-computing-tools-doc, condor, gridengine-client Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: utils Filename: pool/main/c/cctools/coop-computing-tools_3.4.2-1~nd70+1+nd90+1_amd64.deb Size: 537472 SHA256: d569bb745ddabeddb775d68f9ce21a7468cebe1fb70e861d69b62a8d765857f7 SHA1: ebf27c8dee34e236c0f00c0a45b3d9d9c203a845 MD5sum: 791e3430d4c298089420ef539b7e45db Description: cooperative computing tools This is a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. This includes: . * Chirp: A personal filesystem and I/O protocol that allows unprivileged users to share space securely, efficiently, and conveniently. When combined with Parrot, Chirp allows users to create custom wide-area distributed filesystems. * Parrot: A transparent user-level virtual filesystem that allows any ordinary program to be attached to a remote storage device such as an FTP server or a Chirp server. * Makeflow: A workflow system for parallel and distributed computing that uses a language very similar to Make. * Work Queue: A system and API for building master-worker style programs that scale up to thousands of processors. * All Pairs: A computational abstraction for running very large Cartesian products. * Wavefront: A computational asbtraction for running very large dynamic programming problems. * The Fault Tolerant Shell: A high-level programming language that allows users to combine the ease of shell scripting, the power of distributed programming, and the precision of compiled languages. Basically, parallel programming and exception handling for scripts. Package: coop-computing-tools-dev Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1001 Depends: neurodebian-popularity-contest Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: libs Filename: pool/main/c/cctools/coop-computing-tools-dev_3.4.2-1~nd70+1+nd90+1_amd64.deb Size: 160962 SHA256: 7afd8d27144036150e199319479d84c97ffb34d562aa73abd36e28c4eab324fc SHA1: 37824f4771059bf5bcf0fa817484dd441a713bd5 MD5sum: 3b046ee0ab38b6f5fa4535a3266d64fb Description: libraries and header files for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides static libraries and header files for development. Package: coop-computing-tools-doc Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2821 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: doc Filename: pool/main/c/cctools/coop-computing-tools-doc_3.4.2-1~nd70+1+nd90+1_all.deb Size: 211826 SHA256: da05214a18baf5e069af50d860dbcb3efcf3bf210dca18f9e4e96bb1aeca249d SHA1: 6cc266c35d33a6090c5c33c9b8f308971a24cb83 MD5sum: adc3cb13d9be11595ff7978d1fea0eed Description: documentation for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides the documentation (manual and API reference) in HTML format. Package: datalad Version: 0.9.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 102 Depends: neurodebian-popularity-contest, python-argcomplete, python-datalad (= 0.9.3-1~nd90+1), python:any Homepage: http://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.9.3-1~nd90+1_all.deb Size: 68530 SHA256: 30491f76afc3b8d01474a906bab11eee078e25618b119e935682654608ead847 SHA1: 2554b44ab23d2eb022f3fd86d6d4988bc6dd5052 MD5sum: eea9f98e9abcfd0996a45dcdbcd455f9 Description: data files crawler and data distribution DataLad is a data distribution providing access to a wide range of data resources already available online (initially aiming at neuroscience domain). Using git-annex as its backend for data logistics it provides following facilities . - crawling of web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc - command line interface for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get), as well as search within aggregated meta-data . This package provides the command line tool. Install without Recommends if you need only core functionality. Package: dcm2niix Version: 1:1.0.20171215+git8-g82b9210-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 613 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libopenjp2-7 (>= 2.0.0), libstdc++6 (>= 5.2), libyaml-cpp0.5v5, zlib1g (>= 1:1.2.0) Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20171215+git8-g82b9210-1~nd90+1_amd64.deb Size: 148652 SHA256: 30532b7e8cabeffcbe7398ecf65e87f1b827b9457acc72354174b3f6c2dfbe50 SHA1: afffaf415fd76b6e34efd032c06670a8a4ac0993 MD5sum: a0491973a14f267a4e6cc5bee55c4385 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: 1:1.0.20171215+git8-g82b9210-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 610 Depends: dcm2niix (= 1:1.0.20171215+git8-g82b9210-1~nd90+1) Homepage: https://github.com/rordenlab/dcm2niix Priority: extra Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20171215+git8-g82b9210-1~nd90+1_amd64.deb Size: 570660 SHA256: 2ecea69eb489227d9aab67942ff9480f25630315824b7a718a74a4860a1f236a SHA1: e5a2b1accb0fa4ebeea0b1105264714798079a21 MD5sum: 4fbf32c6e7c0d4803784482c57566320 Description: Debug symbols for dcm2niix Build-Ids: 660d1b4a880255c736f441fc2dc2a0517c83861e 87c83e71957bd94eb27028c9ff70d6ae7c261cc6 Package: debian-handbook Version: 6.0+20120509~nd+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23450 Depends: neurodebian-popularity-contest Homepage: http://debian-handbook.info Priority: optional Section: doc Filename: pool/main/d/debian-handbook/debian-handbook_6.0+20120509~nd+1+nd90+1_all.deb Size: 21615222 SHA256: a85ad362072ccad3a1034ac7ae2073b117a7a9001e79b131a6929272734e7f46 SHA1: 065382f6d0be6a5cbe2372ba15a0509f85b73894 MD5sum: 201becf6284759af070b8ee950fab0fb Description: reference book for Debian users and system administrators Accessible to all, the Debian Administrator's Handbook teaches the essentials to anyone who wants to become an effective and independent Debian GNU/Linux administrator. . It covers all the topics that a competent Linux administrator should master, from the installation and the update of the system, up to the creation of packages and the compilation of the kernel, but also monitoring, backup and migration, without forgetting advanced topics like SELinux setup to secure services, automated installations, or virtualization with Xen, KVM or LXC. . The Debian Administrator's Handbook has been written by two Debian developers — Raphaël Hertzog and Roland Mas. . This package contains the English book covering Debian 6.0 “Squeeze”. Package: debruijn Version: 1.6-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 153 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfftw3-double3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.cfn.upenn.edu/aguirre/wiki/public:de_bruijn_software Priority: extra Section: science Filename: pool/main/d/debruijn/debruijn_1.6-1~nd70+1+nd90+1_amd64.deb Size: 37730 SHA256: 71218a074c2f630483c2d2aa0a8a0229b0acc03e7fd6ba43992b5658e1006ee7 SHA1: 6546e6a82fe4030aad210390c443bbc3ee40eda1 MD5sum: da6a889c80437e7799764100567616f4 Description: De Bruijn cycle generator Stimulus counter-balance is important for many experimental designs. This command-line software creates De Bruijn cycles, which are pseudo-random sequences with arbitrary levels of counterbalance. "Path-guided" de Bruijn cycles may also be created. These sequences encode a hypothesized neural modulation at specified temporal frequencies, and have enhanced detection power for BOLD fMRI experiments. Package: dh-systemd Source: init-system-helpers Version: 1.18~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, perl, debhelper Multi-Arch: foreign Priority: extra Section: admin Filename: pool/main/i/init-system-helpers/dh-systemd_1.18~nd80+1+nd90+1_all.deb Size: 13810 SHA256: e3c6d4ea450b9b4462716a4379e06303dca077c6e37664293366eb1645700d16 SHA1: 0fe321df5ef5262d0395dcd70106aa69091d7822 MD5sum: 768da456c2645982f0a93d8ace2c098d Description: debhelper add-on to handle systemd unit files dh-systemd provides a debhelper sequence addon named 'systemd' and the dh_systemd_enable/dh_systemd_start commands. . The dh_systemd_enable command adds the appropriate code to the postinst, prerm and postrm maint scripts to properly enable/disable systemd service files. The dh_systemd_start command deals with start/stop/restart on upgrades for systemd-only service files. Package: dicomnifti Version: 2.32.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 494 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libnifti2, libstdc++6 (>= 4.9) Homepage: http://cbi.nyu.edu/software/dinifti.php Priority: optional Section: science Filename: pool/main/d/dicomnifti/dicomnifti_2.32.1-1~nd80+1+nd90+1_amd64.deb Size: 96024 SHA256: ac161c2c29b71beab13fde477baeaca24f58aba1b22637d844d5a87d3d887561 SHA1: 7f64c065b1cc28e6e9d6218ac10fa83bff612f12 MD5sum: 5adcab481a598bf9e6b076c3370f90b3 Description: converts DICOM files into the NIfTI format The dinifti program converts MRI images stored in DICOM format to NIfTI format. The NIfTI format is thought to be the new standard image format for medical imaging and can be used with for example with FSL, AFNI, SPM, Caret or Freesurfer. . dinifti converts single files, but also supports fully automatic batch conversions of complete dicomdirs. Additionally, converted NIfTI files can be properly named, using image series information from the DICOM files. Package: dmtcp Version: 2.3.1-6~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2734 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: utils Filename: pool/main/d/dmtcp/dmtcp_2.3.1-6~nd80+1+nd90+1_amd64.deb Size: 660828 SHA256: e06a002e6e5467f9d2afc317b41fdbd86fd03a0e3f24a4e04c0bbb88e78049b9 SHA1: a7bd1ba8cc217b708a501fa1b12747c280b3182f MD5sum: b25e9f9d78d30fe47afc89e1ec1fcf7a Description: Checkpoint/Restart functionality for Linux processes DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are Open MPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains DMTCP binaries. Package: dmtcp-dbg Source: dmtcp Version: 2.3.1-6~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26221 Depends: neurodebian-popularity-contest, dmtcp Homepage: http://dmtcp.sourceforge.net Priority: extra Section: debug Filename: pool/main/d/dmtcp/dmtcp-dbg_2.3.1-6~nd80+1+nd90+1_amd64.deb Size: 4408002 SHA256: 2859a4d113986cc3c87c329bd401a2b38f0c833572b2f60491c12336ad238374 SHA1: 8ca8dce0e5a9ce0e2a4634b20f546413d4a08ae1 MD5sum: 71b4f4cb15c82d18f5ea9a4291ec6bb9 Description: Debug package for dmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are Open MPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains debugging symbols for DMTCP. Package: docker-compose Version: 1.5.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 278 Depends: neurodebian-popularity-contest, python-docker (>= 1.3.0), python-dockerpty (>= 0.3.4), python-docopt, python-enum34 (>= 1.0.4), python-jsonschema, python-requests (>= 2.6.1), python-six (>= 1.3.0), python-texttable, python-websocket, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: docker.io (>= 1.6.0) Homepage: http://docs.docker.com/compose/ Priority: optional Section: admin Filename: pool/main/d/docker-compose/docker-compose_1.5.2-1~nd90+1_all.deb Size: 87426 SHA256: e5e4379969e073b8a58ee3c0b1732ad940d4d64aca0f3ef03bbaf435fb4b53fd SHA1: d3f9b5d087471acd64acc1c56815f2e63994e44f MD5sum: db4a04b6180e8516867384caee744e20 Description: Punctual, lightweight development environments using Docker docker-compose is a service management software built on top of docker. Define your services and their relationships in a simple YAML file, and let compose handle the rest. Package: edac-utils Version: 0.18-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 79 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libedac1, lsb-base (>= 3.0-6) Recommends: dmidecode Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: admin Filename: pool/main/e/edac-utils/edac-utils_0.18-1~nd70+1+nd90+1_amd64.deb Size: 26422 SHA256: 0848f7e7c1cc5a9c94bfadf47290ea0e658c9c37e9fc13265d56a7cff5779059 SHA1: c2ab9853e72c65cedcd05d3107728053ce45541c MD5sum: aa3a0f0b470774b47c3d3b91a1a16075 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package provides command lines tools Package: eeglab11-sampledata Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8117 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/e/eeglab11/eeglab11-sampledata_11.0.0.0~b~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 7075168 SHA256: 5d83d4720ebbec466e44e83c6e6a8a5b67bc8486f93bc571cde2403982dfaf0c SHA1: 062335d0be9ced61269e7ab4ae3bb9034993d9b6 MD5sum: 62a51e7e7f38cd6cdc21ef2931432201 Description: sample EEG data for EEGLAB tutorials EEGLAB is sofwware for processing continuous or event-related EEG or other physiological data. . This package provide some tutorial data files shipped with the EEGLAB distribution. Package: fail2ban Version: 0.9.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1302 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), init-system-helpers (>= 1.18~), lsb-base (>= 2.0-7) Recommends: python, iptables, whois, python3-pyinotify, python3-systemd Suggests: mailx, system-log-daemon, monit Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.9.7-1~nd90+1_all.deb Size: 291114 SHA256: 7baef54ef88fb99a2b74c3b6cf02bd738036f9cea9f6b10ff474be1bd2eea2bc SHA1: 779c458becdd106c14099e357e34cdfd536a5e4e MD5sum: 888b4ff47e5bc6ca8ff8b11ee3911caf Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Following recommends are listed: . - iptables -- default installation uses iptables for banning. You most probably need it - whois -- used by a number of *mail-whois* actions to send notification emails with whois information about attacker hosts. Unless you will use those you don't need whois - python3-pyinotify -- unless you monitor services logs via systemd, you need pyinotify for efficient monitoring for log files changes Package: freeipmi Version: 1.4.9-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), freeipmi-tools, freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi_1.4.9-1~nd90+1_all.deb Size: 1176 SHA256: 0e4e167e592b924f79472395fbee7033689ee077ee3574f35ef74577fdeffec3 SHA1: 3365f20281a15110bd4bd43778b9a980ccc99f72 MD5sum: 46c90a6d59e5a2a2d9f9c3c2a1c01232 Description: GNU implementation of the IPMI protocol FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This metapackage depends on all separate modules of freeipmi. Package: freeipmi-bmc-watchdog Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 147 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfreeipmi16 (>= 1.1.5), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd90+1), freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-bmc-watchdog_1.4.9-1~nd90+1_amd64.deb Size: 44804 SHA256: 48ade7cba087529f3957fae3e97ff052ce8b9cb5559484166d8be5ced9a571ef SHA1: fb875869d7d16da0e660d21ee24bd6a926a0794c MD5sum: 61250dd0f084f5d640455d09c2581378 Description: GNU implementation of the IPMI protocol - BMC watchdog FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains a watchdog daemon for hardware BMC watchdogs. Package: freeipmi-common Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 491 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest Suggests: freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-common_1.4.9-1~nd90+1_all.deb Size: 339408 SHA256: 2ef4d1b9c56554a9d5f40d860ae0da8bf8469166b892ccd06ab53c8d7e847f0c SHA1: d7c76e4e962bac7828af674c926009546d927d99 MD5sum: 302ae30afdce18d894d054859912176e Description: GNU implementation of the IPMI protocol - common files FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package provides configuration used by the rest of FreeIPMI framework and generic documentation to orient the user. Package: freeipmi-ipmidetect Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 134 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfreeipmi16 (>= 1.1.5), libgcrypt20 (>= 1.6.0), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmidetect_1.4.9-1~nd90+1_amd64.deb Size: 37722 SHA256: ca35dd57c811d11604ef8d83303e1ba48bb1c0c7d0cd6a1794df7a0f7db41efd SHA1: 1b385674490828a26d74701b154f2b0e7f76be73 MD5sum: 5a2612f248685f6c4647c1c990769b7c Description: GNU IPMI - IPMI node detection tool FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains a tool and a daemon for detecting IPMI nodes. Package: freeipmi-ipmiseld Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 210 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd90+1), sysvinit-utils (>= 2.88dsf-50~) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-ipmiseld_1.4.9-1~nd90+1_amd64.deb Size: 79106 SHA256: 3abec74368ebd311a739d1a119b86a6ed81354b834cdc296da46b85f0ea8a7ee SHA1: 60d25c322ff891cc40be5c1c997c27b28894c105 MD5sum: 67a0838525d15067a9153929f80c6cd7 Description: GNU IPMI - IPMI node detection tool FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains ipmiseld which takes the system event log from the BMC and imports it to syslog Package: freeipmi-tools Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2887 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.9-1~nd90+1), libgcrypt20 (>= 1.6.0), libipmiconsole2 (>= 1.4.4), libipmidetect0 (>= 1.1.5), freeipmi-common (= 1.4.9-1~nd90+1) Suggests: freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-tools_1.4.9-1~nd90+1_amd64.deb Size: 601166 SHA256: 71f26962d9a4c4a0ee8746633204836cc96f9108d14b132f1e67556c05d9afee SHA1: 78b9fc7e416fd3517cae7a754f48f52b5270d09a MD5sum: 53b66018923528426ee8c4c4fb6f1897 Description: GNU implementation of the IPMI protocol - tools FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package contains assorted IPMI-related tools: * bmc-config - configure BMC values * bmc-info - display BMC information * ipmi-chassis - IPMI chassis management utility * ipmi-fru - display FRU information * ipmi-locate - IPMI probing utility * ipmi-oem - IPMI OEM utility * ipmi-pet - decode Platform Event Traps * ipmi-raw - IPMI raw communication utility * ipmi-sel - display SEL entries * ipmi-sensors - display IPMI sensor information * ipmi-sensors-config - configure sensors * ipmiconsole - IPMI console utility * ipmiping - send IPMI Get Authentication Capabilitiy request * ipmipower - IPMI power control utility * pef-config - configure PEF values * rmcpping - send RMCP Ping to network hosts Package: freenect Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libfreenect-bin, libfreenect-dev, libfreenect0.5, libfreenect-doc Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/freenect_0.5.2+git6-g5455843+dfsg-1~nd90+1_amd64.deb Size: 8494 SHA256: 5411a1cf0530231d374f6e9bf8b8e21c4a02f5385ac6a02a7e41413dec4b2a2f SHA1: c43756d3d46a96346d53a9d8e536ae51c89e6357 MD5sum: 0e22a3daf12ec94ef1b2fac20b0815d5 Description: library for accessing Kinect device -- metapackage libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the metapackage to install all components of the project. Package: fsl-melview Source: melview Version: 1.0.1+git9-ge661e05~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 74 Depends: neurodebian-popularity-contest, python, python-matplotlib, python-numpy, python-pkg-resources, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-nibabel, python-pyface, python-traits, python-traitsui, python-enthoughtbase Suggests: fsl-core Homepage: http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Melview Priority: optional Section: science Filename: pool/main/m/melview/fsl-melview_1.0.1+git9-ge661e05~dfsg.1-1~nd90+1_all.deb Size: 13912 SHA256: 645e077ce9ef18f5ed060f06cfe1db6182307f8bd85ed6c3700847be65513549 SHA1: 27fffc42b2ab3cd055e60861ee89b66c41ba53c6 MD5sum: 8f155d7108a9e153239de07847443ded Description: viewer for the output of FSL's MELODIC This viewer can be used to facilitate manual inspection and classification of ICA components computed by MELODIC. As such, it is suited to generate hand-curated labels for FSL's ICA-based denoising tool FIX. Python-Version: 2.7 Package: fsleyes Version: 0.15.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 239710 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~nd90+1_all.deb Size: 26748048 SHA256: 0dc4cdb030c1f52198609fc3f4c5fa6bebba32336615078adcdd25aca86d89c6 SHA1: d2f00465394fabaf5aeb6444a9fe106e018622ce MD5sum: 6121997d7d05e68658ad62333ff8c6ef Description: FSL image viewer Feature-rich viewer for volumetric (medical) images. Package: fslview Version: 4.0.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6637 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libnewmat10ldbl, libnifti2, libqt4-qt3support (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.7.0~beta1), libqwt5-qt4, libstdc++6 (>= 4.9), libvtk5.8, libvtk5.8-qt4 Recommends: fslview-doc, qt-assistant-compat Suggests: fsl-atlases Conflicts: fsl-fslview Replaces: fsl-fslview Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: science Filename: pool/main/f/fslview/fslview_4.0.1-2~nd80+1+nd90+1_amd64.deb Size: 1343764 SHA256: 49298d2ce67d5c3abe763e6030b24d0384056f12630cd574619f0a8bbdce0ee5 SHA1: 77808a5310e4bf0d6e2cbef6ea6c5ee7480aa5d2 MD5sum: 339c370d5399409a45847b699651e945 Description: viewer for (f)MRI and DTI data This package provides a viewer for 3d and 4d MRI data as well as DTI images. FSLView is able to display ANALYZE and NIFTI files. The viewer supports multiple 2d viewing modes (orthogonal, lightbox or single slices), but also 3d volume rendering. Additionally FSLView is able to visualize timeseries and can overlay metrical and stereotaxic atlas data. . FSLView is part of FSL. Package: fslview-doc Source: fslview Version: 4.0.1-2~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2929 Depends: neurodebian-popularity-contest Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: doc Filename: pool/main/f/fslview/fslview-doc_4.0.1-2~nd80+1+nd90+1_all.deb Size: 2226908 SHA256: 8b844c2c11167f41b2d20536095b36c3404514cb21c283097fc0cc876990d949 SHA1: a1a17b9b680e41e9757918f98c497c5ef1b253ec MD5sum: 2554c2d2bf8c93da5554a559ca7aaa58 Description: Documentation for FSLView This package provides the online documentation for FSLView. . FSLView is part of FSL. Package: gcalcli Version: 3.4.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1766 Depends: neurodebian-popularity-contest, python, python-dateutil, python-gflags, python-googleapi Recommends: gxmessage, python-parsedatetime, python-simplejson, python-vobject Homepage: https://github.com/insanum/gcalcli Priority: extra Section: utils Filename: pool/main/g/gcalcli/gcalcli_3.4.0-1~nd90+1_all.deb Size: 1669946 SHA256: 7dc7d3d75d040493e77758d61ab14efb09bb9a600b65b55b671a420b5c737950 SHA1: d3d70bbabee140b0b2160a85752273e2dc3a82da MD5sum: 1f34069749c520cb8c1ec165ffff6ad2 Description: Google Calendar Command Line Interface gcalcli is a Python application that allows you to access your Google Calendar from a command line. It's easy to get your agenda, search for events, and quickly add new events. Additionally gcalcli can be used as a reminder service to execute any application you want. Package: gdf-tools Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 224 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-program-options1.55.0, libboost-system1.55.0, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libgdf0, libstdc++6 (>= 4.1.1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: utils Filename: pool/main/libg/libgdf/gdf-tools_0.1.2-2~nd70+1+nd90+1_amd64.deb Size: 49692 SHA256: dfc3a6143687f78eceee200b45871db0cef1c399c337d50f7d782b6802ec3144 SHA1: 1a87f00e4b45a49c846423161b1b6ab92e4ffbad MD5sum: 1d8fab81b71e641ebe48a0c495cde5d6 Description: IO library for the GDF -- helper tools GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the tool shipped with the library (gdf_merger). Package: gifti-bin Source: gifticlib Version: 1.0.9-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), 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~nd90+1_amd64.deb Size: 24276 SHA256: 174c653461066c2417d02be364c2b96ad2eda852e6fb83427fb892cb52a1010e SHA1: b51f9e47aa241370a0db30563ead6aadbd91b523 MD5sum: d5f751c1dbf92ba9c01fa9fa2609b879 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~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: gifti-bin (= 1.0.9-2~nd90+1) Homepage: http://www.nitrc.org/projects/gifti Priority: extra Section: debug Filename: pool/main/g/gifticlib/gifti-bin-dbgsym_1.0.9-2~nd90+1_amd64.deb Size: 3856 SHA256: 59026672415940cd9cdbb4b081d5826c35afdd82d6bbcf1c7ef32ddc6beed634 SHA1: 17d806600d94bdc1b9911365a366064881ee8d8b MD5sum: 3a717293b908665f36c428fe158ee72f Description: Debug symbols for gifti-bin Build-Ids: 0f65973e45669b5c4182a1f909b47028387505fe a57859f34f187d98d3b0798352a42d2e5741149b Package: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 28762 Pre-Depends: dpkg (>= 1.17.13) Depends: neurodebian-popularity-contest, libc6 (>= 2.16), libcurl3-gnutls (>= 7.16.2), libexpat1 (>= 2.0.1), libpcre3, zlib1g (>= 1:1.2.0), perl, liberror-perl, git-man (>> 1:2.11.0), git-man (<< 1:2.11.0-.) Recommends: patch, less, rsync, ssh-client Suggests: gettext-base, git-daemon-run | git-daemon-sysvinit, git-doc, git-el, git-email, git-gui, gitk, gitweb, git-arch, 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_2.11.0-3+nd1~nd90+1_amd64.deb Size: 4150154 SHA256: 6ceb3562747df9499780040736e4e5e795986ec6c1004b563c7a37f577188d89 SHA1: 735e60d69b87e370e3a58624dba28ae1488b118c MD5sum: f7e7b31afb34f5db04ba0d8ef053806c 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: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 673 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), git-doc, git-el, git-arch, 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_2.11.0-3+nd1~nd90+1_all.deb Size: 671292 SHA256: 01d4ca17bbdf2b5aec016594cd0d980ec3aa64c83cbf39d821e791b002538269 SHA1: 246ae1de1098ecd6b9c606dd3ae6b099c3fbc621 MD5sum: e4af445bdbb308107438297cfe941c1a 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-metadata-gui Version: 0.0.0~pre1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 60 Depends: neurodebian-popularity-contest, python3-git-annex-adapter, python3-pyqt5, python3:any (>= 3.3.2-2~) Homepage: https://github.com/alpernebbi/git-annex-metadata-gui Priority: optional Section: python Filename: pool/main/g/git-annex-metadata-gui/git-annex-metadata-gui_0.0.0~pre1-1~nd90+1_all.deb Size: 10332 SHA256: c9e6b75b1f43c56e01130ed62f502dcd2ed27745cc7989a4e2ba92529484dc2b SHA1: dc80188fca16cf251ae81184fcae646e189de421 MD5sum: c1b32c47d4448102f6043064e2092e53 Description: graphical interface to the metadata functionality of git-annex Flexible graphical user interface to view and manipulate metadata of git-annex repositories. 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: 6.20180521+gitg78a648d0f-1~ndall+1 Architecture: amd64 Maintainer: Richard Hartmann Installed-Size: 178661 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_6.20180521+gitg78a648d0f-1~ndall+1_amd64.deb Size: 62825942 SHA256: 03e2c8cb711607796d21dc65fa76eb55e612f543481564a3180f8a95c0a77beb SHA1: ee681395c585a2e90190e42390a593309c4ee489 MD5sum: 39390506d9607881d96a9fa78db9a2b0 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-arch Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 717 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), tla Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-arch_2.11.0-3+nd1~nd90+1_all.deb Size: 683940 SHA256: 6ad4a2817c2559ce2dce26a515b4d044c7e6e49e1f15b217ac34af21466a63ce SHA1: 03cf2212f5c4a41240e099c36f2b1536c7612238 MD5sum: 3914afcef0bed28b56b616fe67270fd5 Description: fast, scalable, distributed revision control system (arch 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 importing development history from arch repositories. Package: git-core Source: git Version: 1:2.11.0-3+nd1~nd90+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_2.11.0-3+nd1~nd90+1_all.deb Size: 1438 SHA256: b799ee737bc27f081c9adecf28ed8a9123083a735909d0ad04e98f86d9217777 SHA1: a4bee8c9d2198b65f0dfe7762a2f9968cc0664bf MD5sum: 70cbef25c7235aae6f376a5a1f79f102 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: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1054 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), cvsps, libdbd-sqlite3-perl Suggests: git-doc, cvs Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-cvs_2.11.0-3+nd1~nd90+1_all.deb Size: 734400 SHA256: 5a57c17fa0f2bdf6e7a417b1a4a942cd07c95fddf09922e185ef2dd0ddad0c3a SHA1: 645f3a1f8481ee2d5e3f0857b26a20dc636eee33 MD5sum: 3326e6b3b7d14ca2109ddf4fe3b9d32b 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: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 685 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), runit, adduser Conflicts: git-daemon-sysvinit Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-daemon-run_2.11.0-3+nd1~nd90+1_all.deb Size: 672820 SHA256: 9fc6c42e093d0728c8ecbaeb94f2d19d76c7a3f1ef280e9d396c9961d314e233 SHA1: 348c9d07f10c8ab829462665ce7eec4b27d1edc3 MD5sum: 07c3ce0a33434e3a235d784796f4f231 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. Package: git-daemon-sysvinit Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 688 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), adduser, lsb-base (>= 3.0-6) Conflicts: git-daemon-run Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: extra Section: vcs Filename: pool/main/g/git/git-daemon-sysvinit_2.11.0-3+nd1~nd90+1_all.deb Size: 674002 SHA256: c898545fbe2dc7ef290357f8259c50fe518ee110c7e7ecaaedb2df284e64a48f SHA1: c8310e4e8a8bccc94b2b5d2ad64c66fa2a209c61 MD5sum: 48aeff95d250daa5d65444b6743524eb 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. Package: git-dbgsym Source: git Version: 1:2.11.0-3+nd1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 31762 Depends: git (= 1:2.11.0-3+nd1~nd90+1) Homepage: https://git-scm.com/ Priority: extra Section: debug Filename: pool/main/g/git/git-dbgsym_2.11.0-3+nd1~nd90+1_amd64.deb Size: 30182346 SHA256: 3d7d5f0dbeda98d1930caaf509b52c61b626c412576cf6b1dd0dd22ff148ab95 SHA1: 4899d226dfdfa4a9a175c4ea1a5f3a0fa56a915e MD5sum: 856ceb586c4fff61a7c01c389f6bf7b2 Description: Debug symbols for git Build-Ids: 015e9548e67f7a869fbee7c1d4140d22d201c3dc 0e4e904762c16216baabf5ba3acbfa81d7b0b089 0f463a3a665fcb7db66d273e7dfb7a5a4303fad4 264397c42813e570bf22ebba944eed69a254cbcf 37abd6d503ab100f5fc6ab60914ac316be04c355 37abd6d503ab100f5fc6ab60914ac316be04c355 4e80cc521f71119b5fa92fad24184161d114bd90 666e98409aa15bd6ef3de41eb37b4eec33217fd5 6723fa39f54bc8f0103f841d4cc0dcb15e1da8fa 6723fa39f54bc8f0103f841d4cc0dcb15e1da8fa 790b8f3a4ab9763941a8fa446b510be165e56fcb 790b8f3a4ab9763941a8fa446b510be165e56fcb a3e75b6ef94b4e78dbdb67d2956f7b816dc25351 a66f46fe0071c481926b94b9e5da92c250fa6722 a9eebdfc7af39a1bc286c2163e5fb69d5fe75a4e b997c9833f270590207dd07a8b746a439f4f9745 d88fc5098e7cc6abfac05031d16ca9c7574037b4 e1cfa271ea5e754e9e992f1b20ab609621cf84cf ef69aff451c37b151791a42b66668c37aff8bed0 Package: git-doc Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10382 Depends: neurodebian-popularity-contest Suggests: git, git-arch, 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_2.11.0-3+nd1~nd90+1_all.deb Size: 1533938 SHA256: e34ab7cd0d3c232ce0ef25a3ab31f0511b09e3d8d4fa9b2fbbaf2ba5a023f732 SHA1: 988ad71c68d09e101823a1a4141a5ea287f696a3 MD5sum: 9f81fe03c61ea7ba39d33cc67c7e3844 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: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 780 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_2.11.0-3+nd1~nd90+1_all.deb Size: 690828 SHA256: 1969f5381664bad2fc7819dfeac406f4b269d1fd208bf988976fba87356a9496 SHA1: 76c51ac03b1b90f0066210e51c2ec6e8febf9fad MD5sum: 9dd15661c727a61163de68ad951014ab 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: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 734 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.) Recommends: libemail-valid-perl, 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_2.11.0-3+nd1~nd90+1_all.deb Size: 693096 SHA256: 1266eb1f5866014bd7925e4ce9b54b2f9fe16d75e387bb56983d087ed7341eb2 SHA1: 48076adbf4b61ff38e1bb0540a04034922e3f4f8 MD5sum: e3ed788c166e209bbdf36d746d53e9e7 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: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2150 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), 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_2.11.0-3+nd1~nd90+1_all.deb Size: 880046 SHA256: e28c7c558da475f25eb0d7e51123c6f6276f6b12a58687c73f1a9749e40309cd SHA1: dee202ea1e0e2db8caefc16a5e6f84f781bd94f0 MD5sum: 37f940906b5a2774812c59c9c1c60f18 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-hub Version: 0.10.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: neurodebian-popularity-contest, python, git (>= 1:1.7.7) Homepage: https://github.com/sociomantic/git-hub Priority: optional Section: vcs Filename: pool/main/g/git-hub/git-hub_0.10.3-1~nd90+1_all.deb Size: 34104 SHA256: 92c3d9db46a2bbff7cba44df62a81a31e229b49eb38929e7a4b69147f037b805 SHA1: 9153f1fbd7a3366a1e366f0d41900f0ea3eaac86 MD5sum: 2b16bb55aa0de8cdf6761d7d0c89badf Description: Git command line interface to GitHub git hub is a simple command line interface to GitHub, enabling most useful GitHub tasks (like creating and listing pull request or issues) to be accessed directly through the Git command line. . Although probably the most outstanding feature (and the one that motivated the creation of this tool) is the pull rebase command, which is the rebasing version of the GitHub Merge (TM) button. This enables an easy workflow that doesn't involve thousands of merges which makes the repository history unreadable. . Another unique feature is the ability to transform an issue into a pull request by attaching commits to it (this is something offered by the GitHub API but not by the web interface). Package: git-man Source: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1482 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_2.11.0-3+nd1~nd90+1_all.deb Size: 1431684 SHA256: 1fa8ba2ff66c0a1a2a13010cf2c6ca0dcbb7011797b142c5cf22a0d7dd271b80 SHA1: 6184cffb98460bc08a4ae596378ae9f1d12e538e MD5sum: ee3c22d5e31f04100e9ef539abf1c6bc 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: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 731 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), libmediawiki-api-perl (>= 0.39), liblwp-protocol-https-perl, libdatetime-format-iso8601-perl Suggests: mediawiki Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-mediawiki_2.11.0-3+nd1~nd90+1_all.deb Size: 686178 SHA256: 239dbda5a1df1033b15c097e8016b04c50373b635c4134ad8d5c89a1b4820952 SHA1: bae7a2dbd21c696ea8d7082b4f1b7deb82a4d276 MD5sum: 918eb878f805ef2587bdaa681fba3c57 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: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 932 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), libsvn-perl, libyaml-perl, libterm-readkey-perl Suggests: git-doc, subversion Breaks: git (<< 1:1.8.3~rc1-1.) Replaces: git (<< 1:1.8.3~rc1-1.) Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/git-svn_2.11.0-3+nd1~nd90+1_all.deb Size: 756040 SHA256: c377aefb68f2768a0bd7b09be8e44bb6306ee8ec08a96dc4a8b9c7d69d97a56e SHA1: d2b5bea9aa82198f59b313322ebbbe560a6e002a MD5sum: cca221af69d05f6162500150819dd6fa 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: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1392 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), tk Suggests: git-doc Multi-Arch: foreign Homepage: https://git-scm.com/ Priority: optional Section: vcs Filename: pool/main/g/git/gitk_2.11.0-3+nd1~nd90+1_all.deb Size: 797382 SHA256: 71bd01de1fd52489a57f2e8fd0817fe0fb206da455060130a0189ec7b2471361 SHA1: 4fd476605e387acfc2e64f8ed215102327cc080b MD5sum: 34b1602cc0618980e44861ed0591bda3 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: 1:2.11.0-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 695 Depends: neurodebian-popularity-contest, git (>> 1:2.11.0), git (<< 1:2.11.0-.), 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_2.11.0-3+nd1~nd90+1_all.deb Size: 675550 SHA256: 8045c0b3a444889f7dac00e5cc89c093736f624818b0b6e8023329c3d3b932db SHA1: 50e2473d658ac6484dec4820de112cae7fe42c14 MD5sum: 1444864e2fd28fe5723ecf3360bb0dd4 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: glew-utils Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 416 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1), libc6 (>= 2.14), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 Replaces: libglew1.6 (<< 1.7) Homepage: http://glew.sourceforge.net Priority: optional Section: utils Filename: pool/main/g/glew/glew-utils_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 93182 SHA256: bce4ab7737d7aa2197d10549126a6abb0d098e35f534f2174e24041ee65c0082 SHA1: ebfb22f562fb68764531de12e6a43e969c138175 MD5sum: 4560d4d5498df2feb8b15ecfcd885a17 Description: OpenGL Extension Wrangler - utilities For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the utilities which can be used to query the supported OpenGL extensions. Package: gmsl Version: 1.1.5-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 89 Depends: neurodebian-popularity-contest, make Homepage: http://gmsl.sourceforge.net/ Priority: optional Section: devel Filename: pool/main/g/gmsl/gmsl_1.1.5-1~nd80+1+nd90+1_all.deb Size: 13846 SHA256: f245e355fff5b0333d20373a3733b34a6d5b89ecbb07e4a9f6dfe46266429ee1 SHA1: 96f7917de1151cc9ac199889d3346600c5beb585 MD5sum: 036fe63e248473476a6832cdce6324e0 Description: extra functions to extend functionality of GNU Makefiles The GNU Make Standard Library (GMSL) is a collection of functions implemented using native GNU Make functionality that provide list and string manipulation, integer arithmetic, associative arrays, stacks, and debugging facilities. . Note that despite the name of this project, this library is NOT standard and is NOT written or distributed by the GNU project. Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.36-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 1198 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-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 Built-Using: go-md2man (= 1.0.6+ds-1), golang-1.7 (= 1.7.4-2), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-blackfriday (= 1.4+git20161003.40.5f33e7b-1), golang-github-aws-aws-sdk-go (= 1.1.14+dfsg-2), golang-github-davecgh-go-spew (= 1.1.0-1), golang-github-go-ini-ini (= 1.8.6-2), golang-github-google-go-querystring (= 0.0~git20151028.0.2a60fc2-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-ncw-go-acd (= 0.0~git20161119.0.7954f1f-1), golang-github-ncw-swift (= 0.0~git20160617.0.b964f2c-2), golang-github-pkg-errors (= 0.8.0-1), golang-github-pkg-sftp (= 0.0~git20160930.0.4d0e916-1), golang-github-pmezard-go-difflib (= 1.0.0-1), golang-github-rfjakob-eme (= 1.0-2), golang-github-shurcool-sanitized-anchor-name (= 0.0~git20160918.0.1dba4b3-1), golang-github-skratchdot-open-golang (= 0.0~git20160302.0.75fb7ed-2), golang-github-spf13-cobra (= 0.0~git20161229.0.1dd5ff2-1), golang-github-spf13-pflag (= 0.0~git20161024.0.5ccb023-1), golang-github-stacktic-dropbox (= 0.0~git20160424.0.58f839b-2), golang-github-tsenart-tb (= 0.0~git20151208.0.19f4c3d-2), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-go.crypto (= 1:0.0~git20170407.0.55a552f+REALLY.0.0~git20161012.0.5f31782-1), golang-golang-x-net-dev (= 1:0.0+git20161013.8b4af36+dfsg-3), golang-golang-x-oauth2 (= 0.0~git20161103.0.36bc617-4), golang-golang-x-sys (= 0.0~git20161122.0.30237cf-1), golang-google-api (= 0.0~git20161128.3cc2e59-2), golang-google-cloud (= 0.5.0-2), golang-testify (= 1.1.4+ds-1), golang-x-text (= 0.0~git20161013.0.c745997-2) Homepage: https://github.com/ncw/rclone Priority: extra Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.36-1~ndall0_all.deb Size: 201776 SHA256: 88274c394a26a9f8f5f4766873acde54192537112e0f0e24ddfff1b9a5361f7c SHA1: fb44d37c3df4bdf641c85720b35bbfd835870a05 MD5sum: fdc9cfc7b0a9e18cdc83ed2fbce61433 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: guacamole Source: guacamole-client Version: 0.8.3-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 516 Depends: neurodebian-popularity-contest, guacd Recommends: libguac-client-vnc0 Suggests: tomcat6 | jetty Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-client/guacamole_0.8.3-1~nd80+1+nd90+1_all.deb Size: 431706 SHA256: 5baa52ac170db52217a2be61aa88e322b8b07d6547ff413c7c07a7ac5bf553fc SHA1: 38c24c6ff1aff4765fa37cdb6da96279569d4152 MD5sum: 523c9f22b9b0eba895a126a68c17b946 Description: HTML5 web application for accessing remote desktops Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. Package: guacamole-tomcat Source: guacamole-client Version: 0.8.3-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, debconf, guacamole, tomcat6, libguac-client-vnc0, debconf (>= 0.5) | debconf-2.0 Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-client/guacamole-tomcat_0.8.3-1~nd80+1+nd90+1_all.deb Size: 6780 SHA256: 6c7669e2313d4005be8fcd92836431a6acb0a8f6ff4b8c47108098e729bb4de1 SHA1: 8a20da50241cc0df8ca6b943c6896fca09230629 MD5sum: e152fd7e06d9454ac0c22f08b3dd4b9f Description: Tomcat-based Guacamole install with VNC support Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. . This metapackage depends on Tomcat, Guacamole, and the VNC support plugin for guacamole. Guacamole is automatically installed and configured under Tomcat. Package: guacd Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 51 Depends: neurodebian-popularity-contest, lsb-base (>= 3.0-6), libc6 (>= 2.15), libguac5, libssl1.0.0 (>= 1.0.0) Homepage: http://guac-dev.org/ Priority: extra Section: net Filename: pool/main/g/guacamole-server/guacd_0.8.3-1~nd80+1+nd90+1_amd64.deb Size: 14096 SHA256: 717693a50cccf00b8ecb8eaf92ff1571d2c7f7fe730023d6ee4356a00afef434 SHA1: cc37faccaab1de2d77c908ed56bf1ef8bd9538d9 MD5sum: fb736f6605e37244d86a8ff0280e7571 Description: Guacamole proxy daemon The Guacamole proxy daemon, guacd, translates between remote desktop protocols (like VNC) and the Guacamole protocol using protocol plugins. Once a user is authenticated with the Guacamole web application, a tunnel is established through the web application to guacd, allowing the JavaScript client to communicate to an arbitrary remote desktop server through guacd. Package: heudiconv Version: 0.5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 200 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~nd90+1_all.deb Size: 48124 SHA256: b6713ee37898ec1e01a2d81804fa8d1a2896dd95e09422f1815e2a5dfa659fe0 SHA1: 9f9ab5544b524c5371108e991e5f2a37f6050e47 MD5sum: 67499e14172fe97089ebe1670fe3d48a 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 Source: condor Version: 8.6.8~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 13954 Depends: neurodebian-popularity-contest, adduser, debconf (>= 0.5) | debconf-2.0, libdate-manip-perl, python, lsb-base (>= 3.0-6), libclassad8 (= 8.6.8~dfsg.1-1~nd90+1), perl:any, libc6 (>= 2.15), libcgroup1 (>= 0.37.1), libcomerr2 (>= 1.01), libcurl3 (>= 7.16.2), libexpat1 (>= 2.0.1), libgcc1 (>= 1:3.0), libglobus-callout0 (>= 3), libglobus-common0 (>= 16), libglobus-ftp-client2 (>= 7), libglobus-gass-transfer2 (>= 7), libglobus-gram-client3 (>= 12), libglobus-gram-protocol3 (>= 11), libglobus-gsi-callback0 (>= 4), libglobus-gsi-cert-utils0 (>= 8), libglobus-gsi-credential1 (>= 6), libglobus-gsi-openssl-error0 (>= 2), libglobus-gsi-proxy-core0 (>= 8), libglobus-gsi-proxy-ssl1 (>= 4), libglobus-gsi-sysconfig1 (>= 5), libglobus-gss-assist3 (>= 9), libglobus-gssapi-error2 (>= 4), libglobus-gssapi-gsi4 (>= 12.10), libglobus-io3 (>= 11), libglobus-openssl-module0 (>= 3), libglobus-rsl2 (>= 9), libglobus-xio0 (>= 5), libgomp1 (>= 4.9), libgsoap10, libgssapi-krb5-2 (>= 1.6.dfsg.2), libk5crypto3 (>= 1.6.dfsg.2), libkrb5-3 (>= 1.13~alpha1+dfsg), libkrb5support0 (>= 1.7dfsg~beta2), libldap-2.4-2 (>= 2.4.7), libltdl7 (>= 2.4.6), libpcre3, libssl1.1 (>= 1.1.0), libstdc++6 (>= 5.2), libuuid1 (>= 2.16), libvirt0 (>= 0.5.0), libx11-6, libxext6, libxss1, zlib1g (>= 1:1.1.4) Recommends: dmtcp, ecryptfs-utils Suggests: docker.io, coop-computing-tools, singularity-container, slurm-client Breaks: condor (<< 8.0.5~) Replaces: condor (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: science Filename: pool/main/c/condor/htcondor_8.6.8~dfsg.1-1~nd90+1_amd64.deb Size: 3934410 SHA256: 0f723c0d5b8a3f52c71e4123515960c739abaa4bc9570239c4d0ce1313a2aba5 SHA1: 8fba414858c7c110248b351a77b1c3db221c1355 MD5sum: f63db01df2fc2afb49d5dacb2fbe6f4f Description: distributed workload management system 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 can set up an appropriate initial configuration at install time for a machine intended either as a member of an existing HTCondor pool or as a "Personal" (single machine) HTCondor pool. Package: htcondor-dbg Source: condor Version: 8.6.8~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 40057 Depends: neurodebian-popularity-contest, htcondor (= 8.6.8~dfsg.1-1~nd90+1) Breaks: condor-dbg (<< 8.0.5~) Replaces: condor-dbg (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: debug Filename: pool/main/c/condor/htcondor-dbg_8.6.8~dfsg.1-1~nd90+1_amd64.deb Size: 38015294 SHA256: 8f87f40aee72e0a0567bf8b7adea0cedf82e505e62f082a2c6f0d96604044ac3 SHA1: 2eb300b32812117becf6104b797bb13d2d25ac69 MD5sum: ffc8f92e08494dc967636597054d5f00 Description: distributed workload management system - debugging symbols 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 the debugging symbols for HTCondor. Build-Ids: 01d3f9b9090afc514195d9951fb64932c5c9bd08 04543ff37d58bd9a4a726e753d55be2517fc9cfa 05c74103b443900d53bdfcf43cdc8dd9eed61f40 0623ce6dc83a9e447c2d3ef84351a862139e71f9 076c46a9f728d1cc96e4be7d294fe66fb14760b7 083c7f40dd3340748b6b299ef055f40ca3251b29 0b031da1c06ffda628b578c2715a1a227cc9022b 0b5da06dbb8bec55ea37dfabf29275943620ea67 19c7c775ad17cacdbf9f0d6c05759fbd7860a817 1c064db51e7bb812ee21b52ba363543cf2c3122a 1d864521e3e6a6a67d0cde1a48fce9a798ff881e 2092032a96845af49d1435652c784a2aa74e99ce 21704f8c4eed85bff349e2f27b0e2c61584eba81 21c26920c2ef4cc1fb201198ffe2a33a02e9e0ed 26e1d03eb4b15fa62d275e44af7f26a406109b5a 2ccaabbd1908115a4561593401156881567f95ae 2d5763e9bfab36d77ce53ee5d4fb5140759ec6d8 2dd001338bd44d77cd728c8e175e2c827ef98399 306c7292f62d92542fce495574bb8b9db9eadd0c 32319efc457000fc75d970a991b0138f455faf04 332865f9d493e96953e53d416d31d47795037f96 34a2282384bac19b227d9fa44a871f27faf3b433 3e55be6a7ebe66f4dec5383377ae0a629cc33851 425b7ec02cdd31da6ba9e18d0bfcaef20e2dda6b 47955ee9cf7e3df542372ab4dbdb4440501a272d 4cc1e900c315f5fc25f123c85c48c63a19cf195a 51bc17c4c183cceac55fae39afed844e2894b93c 52d85f45cf3e5e5211e16548edabea82823545e3 545724628bcb3d83cd2016d54f9129bae723814b 562c902959c895e40a5e3e8723645cb94948136d 57890675a1412441a6ed6d8d8ad78d1047d3e865 5ccf9a5eb786da0feb74dd706f39dee88d811054 5e2ae3b5d13c7cd0f86fe97f92ab1fa9ef8c169a 6070121fd4323c26f00172948b7af96bce703384 67158a79c80f324ee3ddbc74272e86cad2c85e87 693629ab2c1fc09d6b8b045a61ae423db1307ddf 6bf7b0a5ee132652dd437ec7e1df75ebec974e86 701aba63b7688ab9cb002cd5432fefa230e3b8ef 72e7eef5bef125c496cd50c4bee2b609f9b87d43 74a5dbada7541590e2df0acce4ecee36d095b240 77c0c4f096880eaa2c461bd905c41820f7010830 78c7da88222146c005c641879c395470932b6ae3 7c669d7163e8d71a986aa256296064ab3d55a9a3 7fc33085a1d3a777a2008a117dda6a17bde45e25 849e2b4a19f9b9dbbeff863d7422a2018ffca366 8684489ce627bed96830ad83ca38201fce2c0dab 8935a8698cbffac026b4e73bf4823489f4faf823 89599c8a7c87651d2f0c6b45e59bfc7c7fc6e231 8b1d4df7d1c6842d3d79de6f39c7228a7ea7ef79 8b59866113357091306deb8e20ae036c139a440e 90d48c2a0d9fdebadcb6a55fcb75d43cf74e0c7b 92f6b38c5897905a845617f018e48f41b92f993a 944e15dc9a67e7c9f5f7b5ebf05723527c0f8601 97b1baed21e9a6fcb1812f26155374c967b19b73 9b940349cbbb79fd9ba3c429d62800ccd0a1d579 9c8d276cb75534ab13686ba2f3202bbe0be377d3 9dd0a5f860a63cd626d414b8074518c779e63ac3 a835971aa00b95f8eaf23838d1b36f3cdc2d6bc8 aab5e183034666c0b3407e34c6dcf89fd6593b6d ad167c9b1d60ab80d89ce734decfc65619a13f49 ae95a0219db8b03f84459c57fcae802423eba265 b446fbfbdee826ebce4813bfe254fc749d994a9f b5becc070e52db122f1289e35d7e2d911031669e bba9ff3f1664f7d6d7ee201867519463c5aed265 bbd822367443610dc4d96f021c7f42e92c1038dc c13b0164decaeb9044b8792c168d2ad2d6418c0d c5dd578c1bc7ff5807f9513964eb5bd4b681614b c75fa1162596432fc52c64979f7d7d781da64e85 cb427627f4e62cc8548585d23b88318d3af5e936 cb427627f4e62cc8548585d23b88318d3af5e936 cefbfd6cbfe9c034883dbbcba21bd9652b3ae6fc d36e10d03aa563e37de5f3ad241fd321a51a4c96 d46409077bd4244c76e71212efa148f075d418f6 d4c76357d113766712a626055dd6841bbedaa2cd d4e35acea46da202ae86d414c3bbb2410b4f81c8 d50044cc5384da3878e0ff740bceeb3cf7f59bbe d6e08ee94557c2c3620de19bcea1a37f1925dd59 d74e4c046c853c36f944bf40b2c376fdb9ca9912 d8db560fcc6d86a169581d601d7e96c7dff68317 d9408a98e2bfdf9222db3d3377cfdedef7b0bed5 d9de90173c8fa0da52a8d43b12c1e54137a23336 dab2c427f648e55071088ef068ef261fef05974d db72ddd095ab3f8e4296f36c5ad4c4aff6d9fe6f dfa3d62e901b9078e95ed4a3466aafd269535575 e7218f089d4988ce61e1e562dfd4fffb6d7779d0 ea6c6b93fbc83761a542a60079babfa05789fdb4 ebe59338e07cd9fa3b410a926349ff9a8d1def31 f057f92107b1d7f58656cda262d554e4694e372b f1b809139e9812b3210352df60c1cb094a3551c0 fa3b709a7cf7d9626eb32716abf7b45cd289f738 fb550779239307dcbbe51d467dc85332ea62958f ff4c17055466a7c6d0eb2b6854b2e06c6baaa324 ffdc1bf754065585b4f1f2cc5ac1cce12a30e7ac ffdd8fa3297e4ba931fd4b9d3a67afcade1b99e9 Package: htcondor-dev Source: condor Version: 8.6.8~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1699 Depends: neurodebian-popularity-contest Breaks: condor-dev (<< 8.0.5~) Replaces: condor-dev (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libdevel Filename: pool/main/c/condor/htcondor-dev_8.6.8~dfsg.1-1~nd90+1_amd64.deb Size: 315840 SHA256: 9d28eccbae010966f3c3e771030f53952ef6b6ff68dd6ac1371c99762cf13f1d SHA1: cc6cf4ea6f1fa208f7cf9df78c5df6cc7149d2f7 MD5sum: b9ec601f482c4fd3d9f5a119bf3eae81 Description: distributed workload management system - development files 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 headers and libraries for development of HTCondor add-ons. Package: htcondor-doc Source: condor Version: 8.6.8~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6225 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~nd90+1_all.deb Size: 1086792 SHA256: 1c39b8b4147dd07c1fa08e339101e8a0aead9af197cb884c8cd3e20f06d59109 SHA1: d0a39a203980655019ce016939628947f1984065 MD5sum: e4fdd7c7ec42aabf0e7e62e467a88edb 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 475 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~nd90+1_all.deb Size: 190682 SHA256: 5978758d7b8864b793c33e5ce44c9824a3bac9e4da466dcad39099bd056ac8ee SHA1: b99e227127384e24aeec3a0f281d3f0c5b9e1c2c MD5sum: 8255271f993c99ca12dfc4e19a6909b7 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: incf-nidash-oneclick-clients Source: incf-nidash-oneclick Version: 2.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: neurodebian-popularity-contest, python (>= 2.5.0), python-dicom, dcmtk, python-httplib2 Homepage: http://xnat.incf.org/ Priority: extra Section: science Filename: pool/main/i/incf-nidash-oneclick/incf-nidash-oneclick-clients_2.0-1~nd70+1+nd90+1_all.deb Size: 9058 SHA256: dcb57631757a7635c3ee68bb989b2f3f77856c1f88d842cd64848f9776236e69 SHA1: e1caeb23b63a7b84829314c2a60b5130edb4d200 MD5sum: c220623e4e8976077d0c3de0d45bec30 Description: utility for pushing DICOM data to the INCF datasharing server A command line utility for anonymizing and sending DICOM data to the XNAT image database at the International Neuroinformatics Coordinating Facility (INCF). This tool is maintained by the INCF NeuroImaging DataSharing (NIDASH) task force. Package: init-system-helpers Version: 1.18~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, perl Breaks: systemd (<< 44-12) Multi-Arch: foreign Priority: extra Section: admin Filename: pool/main/i/init-system-helpers/init-system-helpers_1.18~nd80+1+nd90+1_all.deb Size: 13434 SHA256: 62d797ebebb6d054e9bfd1e70bfbc4eb760d8e06fa249d32af9f365f170f9f26 SHA1: 0d36a24804a540495ffcbba060615184e3708bbf MD5sum: 4d9b782a3c2f9164950b1f12bc035513 Description: helper tools for all init systems This package contains helper tools that are necessary for switching between the various init systems that Debian contains (e.g. sysvinit, upstart, systemd). An example is deb-systemd-helper, a script that enables systemd unit files without depending on a running systemd. . While this package is maintained by pkg-systemd-maintainers, it is NOT specific to systemd at all. Maintainers of other init systems are welcome to include their helpers in this package. Package: insighttoolkit4-examples Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3081 Depends: neurodebian-popularity-contest Suggests: libinsighttoolkit4-dev Conflicts: insighttoolkit-examples Replaces: insighttoolkit-examples Homepage: http://www.itk.org/ Priority: optional Section: devel Filename: pool/main/i/insighttoolkit4/insighttoolkit4-examples_4.7.0-1~nd80+1+nd90+1_all.deb Size: 2498516 SHA256: d34d9328e9e8bd7bfb745a1cd0b915f0f61485c07ec1e0f65fc4c0f14eb68aed SHA1: 90d42a16d1a1b428e004c26671f83663ca9b35d0 MD5sum: 276b12088d4b89a13556404f5b95b99c Description: Image processing toolkit for registration and segmentation - examples ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the source for example programs. Package: insighttoolkit4-python Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 879658 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfftw3-double3, libfftw3-single3, libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.7, libpython2.7 (>= 2.7), libstdc++6 (>= 4.9) Conflicts: insighttoolkit-python Replaces: insighttoolkit-python Homepage: http://www.itk.org/ Priority: optional Section: python Filename: pool/main/i/insighttoolkit4/insighttoolkit4-python_4.7.0-1~nd80+1+nd90+1_amd64.deb Size: 74485030 SHA256: 93c8703372e194d72ad4f327f8c2fe9769a02ce0782c8bf70cb133cd4a231db8 SHA1: fabf81d61137d941816d5c168faf6d8d0ca1cab6 MD5sum: 9dd137d8e8b44c792810730ee78889b9 Description: Image processing toolkit for registration and segmentation - Python bindings ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the Python bindings. Package: ismrmrd-schema Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/ismrmrd-schema_1.3.2-1~nd90+1_all.deb Size: 5024 SHA256: 47783565e8cf25043a7b556a2b246d873b3c1ceb958483c976a42656adc4829f SHA1: ab4854bd21f47ff471d488fdb44faa6bae9982bb MD5sum: 216c6a39349f3df9045fab732fcef2ef Description: ISMRM Raw Data format (ISMRMRD) - XML schema The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the XML schema. Package: ismrmrd-tools Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 423 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd90+1), libboost-program-options1.58.0, libc6 (>= 2.14), libfftw3-single3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 5.2) Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/ismrmrd-tools_1.3.2-1~nd90+1_amd64.deb Size: 122206 SHA256: 3edb99618d98e65c7feb804cb662a775c3c5c265ef83c125e805de705503e18b SHA1: fae3f3a034c1e51813208db9f3bf92b838507f38 MD5sum: 258a9bf14ecc77d6dccd2130ce20b2bb Description: ISMRM Raw Data format (ISMRMRD) - binaries The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the binaries. Package: isympy-common Source: sympy Version: 1.1.1-4~nd90+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~nd90+1_all.deb Size: 189700 SHA256: 43151e332f9c3e48d6abec7398b629b11c7d4ff3e6c53563ebfc2f37ec1255ba SHA1: 49ed2484c8495427647c3827ff5277ab714825e0 MD5sum: 235cc5ec52064d79a8b4d13172a6c56c 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~nd90+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~nd90+1_all.deb Size: 7706 SHA256: 1c5f03855a718d484456f7b4ac5d40c48fa4ecf8a85c82100f1dbf4f3615661c SHA1: 95b462a34d46e5f50bc00aea3e76c54ce587efce MD5sum: 00afe74197cd38b7e19c485e55663506 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: itksnap Version: 3.2.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 14495 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgdcm2.4, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libinsighttoolkit4.6, libqt5core5a (>= 5.1.0), libqt5gui5 (>= 5.2.0), libqt5opengl5 (>= 5.0.2), libqt5qml5 (>= 5.0.2), libqt5widgets5 (>= 5.2.0), libstdc++6 (>= 4.9), libvtk6.1, zlib1g (>= 1:1.1.4) Homepage: http://www.itksnap.org Priority: optional Section: science Filename: pool/main/i/itksnap/itksnap_3.2.0-1~nd80+1+nd90+1_amd64.deb Size: 3350358 SHA256: b7431bbc19a88addea14f2436b06d07e22a07082dc783e41418383c0c7366508 SHA1: ee771dff6152b845d363a10261f38e838434bbd6 MD5sum: a67d1c11728c50aa0e3d98f5aa4e4324 Description: semi-automatic segmentation of structures in 3D images SNAP provides semi-automatic segmentation of structures in medical images (e.g. magnetic resonance images of the brain) using active contour methods, as well as manual delineation and image navigation. Noteworthy features are: . * Linked cursor for seamless 3D navigation * Manual segmentation in three orthogonal planes at once * Support for many different 3D image formats, including NIfTI * Support for concurrent, linked viewing and segmentation of multiple images * Limited support for color images (e.g., diffusion tensor maps) * 3D cut-plane tool for fast post-processing of segmentation results Package: jasp Version: 0.8.1.0~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 39711 Depends: neurodebian-popularity-contest, libarchive13 (>= 3.0.4), libboost-filesystem1.62.0, libboost-system1.62.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.2.0), libqt5network5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5svg5 (>= 5.6.0~beta), libqt5webkit5 (>= 5.6.0~rc), libqt5widgets5 (>= 5.6.0~beta), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 5.2), libjs-marked, r-base-core, r-cran-afex, r-cran-bayesfactor, r-cran-car, r-cran-effects, r-cran-hypergeo, r-cran-lme4, r-cran-logspline, r-cran-rjson Recommends: r-cran-ggplot2, r-cran-lsmeans, r-cran-plotrix, r-cran-rcpp, r-cran-rinside, r-cran-vcd, r-cran-vcdextra Homepage: https://jasp-stats.org Priority: optional Section: science Filename: pool/main/j/jasp/jasp_0.8.1.0~dfsg.1-1~nd90+1_amd64.deb Size: 33372382 SHA256: 2972d8d44232b8dfef26d17116fe362eb6d185b69940d22ec9a813af618800b6 SHA1: b0635c22e5c10a51109d83d942fffc2e2e442c17 MD5sum: bc10dd777c08e21d51e683af64d988a3 Description: Bayesian statistics made accessible This is a statistics package with a graphical user interface. Its authors consider it "a low fat alternative to SPSS, a delicious alternative to R. Bayesian statistics made accessible." Package: jasp-dbgsym Source: jasp Version: 0.8.1.0~dfsg.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 44901 Depends: jasp (= 0.8.1.0~dfsg.1-1~nd90+1) Homepage: https://jasp-stats.org Priority: extra Section: debug Filename: pool/main/j/jasp/jasp-dbgsym_0.8.1.0~dfsg.1-1~nd90+1_amd64.deb Size: 44683948 SHA256: bddfb7cd234cbf3a03648fd5f333e36a5762d02e0762d0f03878a6c5728860f9 SHA1: a90f3040559fc69ac10f4dbcb1492ac52ce95b97 MD5sum: f420328d74f26d37c78dbf7734a3ec38 Description: Debug symbols for jasp Build-Ids: 3a06a89d7f8c9738cc857a42d6cf7748792cc2a6 9867c22abfcfb94151583f60b11882ed3b7f733a Package: klustakwik Version: 2.0.1-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://sourceforge.net/projects/klustakwik/ Priority: extra Section: science Filename: pool/main/k/klustakwik/klustakwik_2.0.1-1~nd70+1+nd90+1_amd64.deb Size: 19978 SHA256: ad601aeb95022f3b8c5f18b9c93045c22efaacda23f964912a1687367648e534 SHA1: e6b4483bdc328a0b4036efac49083940bb73a0df MD5sum: 43805661fb5090024f09c871a91210f1 Description: automatic sorting of the samples (spikes) into clusters KlustaKwik is a program for automatic clustering of continuous data into a mixture of Gaussians. The program was originally developed for sorting of neuronal action potentials, but can be applied to any sort of data. Package: libbiosig-dev Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1743 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd80+1+nd90+1) Homepage: http://biosig.sf.net/ Priority: extra Section: libdevel Filename: pool/main/b/biosig4c++/libbiosig-dev_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 300010 SHA256: d2df4f17877d5b2bae3105b48ded30a0784adfd60c4e902f7b3ef2e1a7e8e8e0 SHA1: b004a4b99748376c4a387badba5ad99f784a944c MD5sum: 38c432b323de4d0b298c03b617a90065 Description: I/O library for biomedical data - development files BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides header files and static library. Package: libbiosig1 Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 927 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: libs Filename: pool/main/b/biosig4c++/libbiosig1_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 277602 SHA256: bfff35a9128e822c3224778899f6e0f9b18c7130f302feb4963d25b10bcc110b SHA1: a7c4e69c1d91bcb20c5c36b47e0644f1257a08a7 MD5sum: dd253db2d86c4368aae8c65f890d01c5 Description: I/O library for biomedical data - dynamic library BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides dynamic library. Package: libbiosig1-dbg Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 355 Depends: neurodebian-popularity-contest, libbiosig1 (= 1.4.1-2~nd80+1+nd90+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig1-dbg_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 65438 SHA256: 1e1eec49e150e3740c8f9b7dccbb1017d93bf68038911558c1a253e9beb5353e SHA1: d8ba0bc5f67ab636257e4040c8b76abb67553c1e MD5sum: 822e631f0d48d64822c01680dea79f45 Description: I/O library for biomedical data - debug symbols BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides debug symbols. Package: libcgroup-dev Source: libcgroup Version: 0.37.1-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, libcgroup1 (= 0.37.1-1~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libdevel Filename: pool/main/libc/libcgroup/libcgroup-dev_0.37.1-1~nd70+1+nd90+1_amd64.deb Size: 15858 SHA256: 5e103e727bf5927d62faf044d390766f5ee3c6723b01dfb33b9d7d089579ed94 SHA1: 369c0e9ab93d72efb9f92efb9a8fed04b9292ab1 MD5sum: ae064099fba8ee8c76581eb0e1a385c7 Description: Development libraries to develop applications that utilize control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . It provides API to create/delete and modify cgroup nodes. It will also in the future allow creation of persistent configuration for control groups and provide scripts to manage that configuration. Package: libcgroup1 Source: libcgroup Version: 0.37.1-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 87 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libs Filename: pool/main/libc/libcgroup/libcgroup1_0.37.1-1~nd70+1+nd90+1_amd64.deb Size: 32986 SHA256: f7c0e0f092af9687db12c239f4c1f99d2a784de82a6230d59789669dd6cda225 SHA1: f936f96564e136222f44e256d957eca78f68abe6 MD5sum: 3bcbccecc402488267c13b3c8bbc0135 Description: Library to control and monitor control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . This library allows applications to manipulate, control, administrate and monitor control groups and the associated controllers. Package: libclassad-dev Source: condor Version: 8.6.8~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1466 Depends: neurodebian-popularity-contest, libclassad8 (= 8.6.8~dfsg.1-1~nd90+1) Conflicts: libclassad0-dev Replaces: libclassad0-dev Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libdevel Filename: pool/main/c/condor/libclassad-dev_8.6.8~dfsg.1-1~nd90+1_amd64.deb Size: 252894 SHA256: 166c7a5bbe2e028324eff0dc3acff3d53df6fd41a0f616b5e81733cb31336e3c SHA1: 2c5666d3e11cbf3061f3659bcee3714f865a6fa4 MD5sum: 79949c9468e69ea1415f9cef411fe8af Description: HTCondor classads expression language - development library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the static library and header files. Package: libclassad7 Source: condor Version: 8.4.9~dfsg.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 617 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libpcre3, libstdc++6 (>= 5.2) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libs Filename: pool/main/c/condor/libclassad7_8.4.9~dfsg.1-2~nd90+1_amd64.deb Size: 194220 SHA256: b77b8ad428eea1e024b4e9ff786e3eb2217c35cbbe5fb51dffddfc757b90f5dc SHA1: e57a0381468892ca89a547651935a69cb5b8afbd MD5sum: 1e7470493cadac3363e7a4f788144f58 Description: HTCondor classads expression language - runtime library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the runtime library. Package: libclassad8 Source: condor Version: 8.6.8~dfsg.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 641 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libpcre3, libstdc++6 (>= 5.2) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libs Filename: pool/main/c/condor/libclassad8_8.6.8~dfsg.1-1~nd90+1_amd64.deb Size: 201236 SHA256: f336ef8a9ae52b2c1a9546e6564b2d2c2eab1754c0fe336361309aff8fc7f2ac SHA1: e39432cfbdeed6d505712dc26abb00a325da3426 MD5sum: e4b46488a2ea0ce6d30e70150c45ea89 Description: HTCondor classads expression language - runtime library Classified Advertisements (classads) are the lingua franca of HTCondor, used for describing jobs, workstations, and other resources. There is a protocol for evaluating whether two classads match, which is used by the HTCondor central manager to determine the compatibility of jobs, and workstations where they may be run. . This package provides the runtime library. Package: libcnrun2 Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 296 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libgsl2, libstdc++6 (>= 5.2), libxml2 (>= 2.7.4) Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/libcnrun2_2.1.0-1~nd90+1_amd64.deb Size: 85618 SHA256: 1c3e795467f80828c339161bb5fc28085d55caef7673ba2bdfac2184dc2fffcf SHA1: ad9f6af402621502d318fa39cbde2143fe816d23 MD5sum: f05634786dce4b2ff5e6fb655295997a Description: NeuroML-capable neuronal network simulator (shared lib) CNrun is a neuronal network simulator implemented as a Lua package. This package contains shared libraries. . See lua-cnrun description for extended description. Package: libcnrun2-dbgsym Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 985 Depends: libcnrun2 (= 2.1.0-1~nd90+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/libcnrun2-dbgsym_2.1.0-1~nd90+1_amd64.deb Size: 953508 SHA256: 9b2610b2d1b7c33a433a99624151ad4a1b3470254ce06153822408969299c2a6 SHA1: bb58670912f19ef45ffb51fb01bbb3c2d9ff1b3f MD5sum: 1936f76f5359fbd9cbeffcfa11665733 Description: Debug symbols for libcnrun2 Auto-Built-Package: debug-symbols Build-Ids: 859d2183a428b92f4c1f204b6ee8fcc5cf1c4e64 Package: libcnrun2-dev Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: neurodebian-popularity-contest, libcnrun2 (= 2.1.0-1~nd90+1) Suggests: pkg-config Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: libdevel Filename: pool/main/c/cnrun/libcnrun2-dev_2.1.0-1~nd90+1_amd64.deb Size: 25234 SHA256: cdc5cf615252bddfbf486e797b93888411e95f4f0e7c6c9eb628ed745948f083 SHA1: 8c2442062e33bf82251ce9d21ce813bed94673e8 MD5sum: 1722d04c0580a2dbd6062dc137442c60 Description: NeuroML-capable neuronal network simulator (development files) CNrun is a neuronal network simulator implemented as a Lua package. This package contains development files. . See lua-licnrun description for extended description. Package: libdouble-conversion-dbg Source: double-conversion Version: 2.0.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 117 Depends: neurodebian-popularity-contest, libdouble-conversion1 (= 2.0.1-1~nd80+1+nd90+1) Multi-Arch: same Homepage: http://double-conversion.googlecode.com Priority: extra Section: debug Filename: pool/main/d/double-conversion/libdouble-conversion-dbg_2.0.1-1~nd80+1+nd90+1_amd64.deb Size: 92386 SHA256: 72f6e116d7eb0c455d3f781b122a4555f4810b96f7eb6484c2d53b3d9e1aa358 SHA1: c176071e749d1e3e336881bc9f44bc3476d0a204 MD5sum: 98c81cd0e961c54d316b2753d08b1f84 Description: routines to convert IEEE floats to and from strings (debugging symbols) This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains the detached debugging symbols of the library. Package: libdouble-conversion-dev Source: double-conversion Version: 2.0.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 215 Depends: neurodebian-popularity-contest, libdouble-conversion1 (= 2.0.1-1~nd80+1+nd90+1) Homepage: http://double-conversion.googlecode.com Priority: extra Section: libdevel Filename: pool/main/d/double-conversion/libdouble-conversion-dev_2.0.1-1~nd80+1+nd90+1_amd64.deb Size: 49548 SHA256: f5e633b902c745e2b34451c9415dba9dec30fb4961fcf801510397b7b8b0b650 SHA1: bbfcadd0c71cf6a8485b105f16cc88ef0569455c MD5sum: ddbb297bb8b69ff612ffbc1d79cb4513 Description: routines to convert IEEE floats to and from strings (development files) This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains a static version of the library and development headers. Package: libdouble-conversion1 Source: double-conversion Version: 2.0.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Multi-Arch: same Homepage: http://double-conversion.googlecode.com Priority: extra Section: libs Filename: pool/main/d/double-conversion/libdouble-conversion1_2.0.1-1~nd80+1+nd90+1_amd64.deb Size: 33356 SHA256: f8569b1c96c852648075502087884d0c712efa74eb969070ec6d87049506f223 SHA1: 454e4286386a160e8bdec1abeee34d7288a60438 MD5sum: 06957041f3c202f15e613a45484e725a Description: routines to convert IEEE floats to and from strings This library provides routines to convert IEEE single and double floats to and from string representations. It offers at lot of flexibility with respect to the conversion format: shortest, fixed, precision or exponential representation; decimal, octal or hexadecimal basis; control over number of digits, leading/trailing zeros and spaces. . The library consists of efficient conversion routines that have been extracted from the V8 JavaScript engine. The code has been refactored and improved so that it can be used more easily in other projects. . This package contains a shared version of the library. Package: libedac-dev Source: edac-utils Version: 0.18-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 46 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18-1~nd70+1+nd90+1_amd64.deb Size: 17590 SHA256: cdb486f390f9814bdc4c12ce3bb0be1b2548c4fcb4f90cf3c0a8b89eb86f1f6c SHA1: 965cc73588cc503b6abc36f04ac3d0152ae3147d MD5sum: 5ed495eb12ee8f8227a512ea07465683 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package contains development files for the library Package: libedac1 Source: edac-utils Version: 0.18-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libsysfs2 Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libs Filename: pool/main/e/edac-utils/libedac1_0.18-1~nd70+1+nd90+1_amd64.deb Size: 13644 SHA256: ca612d21100825d8d92222b727708c5149bcadf32a25db5a4bc8326c61546a60 SHA1: f2a4aea07b996e1179433ed0e85a292ef83aedc6 MD5sum: 6f6e30bba12a4c623db80aa60999cf9c Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library Package: libedac1-dbg Source: edac-utils Version: 0.18-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, libedac1 (= 0.18-1~nd70+1+nd90+1) Provides: libedac Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: debug Filename: pool/main/e/edac-utils/libedac1-dbg_0.18-1~nd70+1+nd90+1_amd64.deb Size: 29806 SHA256: b66b428c1989d7f121779a27ce42ab96456331420c224d14e96cb75ab103ee7a SHA1: 9b8328b2bbae2104afd4346f1f85898b1da46931 MD5sum: 3811783eb1443091d7d97c479c67400d Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library with debugging symbols not stripped Package: libfreeipmi-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7784 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libfreeipmi16 (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libfreeipmi-dev_1.4.9-1~nd90+1_amd64.deb Size: 915618 SHA256: 64189fa919ee5959a633dbfde316c90e030f903b28a56c639e30886eb308eeef SHA1: 5f207c03131a91932109139220c76004e325c2bc MD5sum: fc8dcbddfa7710a2f16cfc4839b4e222 Description: GNU IPMI - development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libfreeipmi. Package: libfreeipmi16 Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5091 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcrypt20 (>= 1.6.1), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libfreeipmi16_1.4.9-1~nd90+1_amd64.deb Size: 823180 SHA256: 72c264d82f70e9d59f51e2e699691875122f19a0d39d1d5fe1c1e02d500380a9 SHA1: 5f92ef54a774c117245d253e2b4dc922b8a27fda MD5sum: 054b284b8b1b392acb882bb3552285ba Description: GNU IPMI - libraries FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . OpenIPMI, KCS, SMIC, SSIF, LAN drivers, and an IPMI API in a C Library. Package: libfreenect-bin Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 248 Depends: neurodebian-popularity-contest, freeglut3, libc6 (>= 2.14), libfreenect0.5 (>= 1:0.5.2), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 4.4.0) Breaks: libfreenect-demos (<< 1:0.1.2+dfsg-1) Replaces: libfreenect-demos (<< 1:0.1.2+dfsg-1) Homepage: http://openkinect.org/ Priority: extra Section: utils Filename: pool/main/libf/libfreenect/libfreenect-bin_0.5.2+git6-g5455843+dfsg-1~nd90+1_amd64.deb Size: 55158 SHA256: 5e7950d0b3ae6fbb2e925e92a2a865fdfad443ff35cff6b6ec3c851c37d229bd SHA1: 20d24bbbe5ac838a44719ce45e0fd01442391e57 MD5sum: 4d3ea6594cd357cef32c7b6b4e74b095 Description: library for accessing Kinect device -- utilities and samples libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package includes utilities and sample programs for kinect. Package: libfreenect-demos Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libfreenect-bin Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-demos_0.5.2+git6-g5455843+dfsg-1~nd90+1_amd64.deb Size: 8532 SHA256: 92bd7552f9b75125a3345a00429c010d20870c6a0744c72cf997500d81a81693 SHA1: be41c8f41a1ed1b1a0fe670f7fac4e58f13216a9 MD5sum: cb0c5f19d0aa11917a39ebd67bb5bd0e Description: library for accessing Kinect device -- dummy package libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package is a metapackage to do the transition from libfreenect-demos to libfreenect-bin. This package can be removed after installation. Package: libfreenect-dev Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Depends: neurodebian-popularity-contest, libfreenect0.5 (= 1:0.5.2+git6-g5455843+dfsg-1~nd90+1), libusb-1.0-0-dev (>= 1.0.18~) Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-dev_0.5.2+git6-g5455843+dfsg-1~nd90+1_amd64.deb Size: 19284 SHA256: c00213cb953b67ad4141808df9c81ae9b2a82224a103363bf276f78c76a7f594 SHA1: cc0787228c59a170354af6d0c200c4ce3fbdd661 MD5sum: bfa8c43e8a2906da295d6cd1aed2d282 Description: library for accessing Kinect device -- development files libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the development package containing the libraries and header for software development with libfreenect. Package: libfreenect-doc Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 647 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.5.2+git6-g5455843+dfsg-1~nd90+1_all.deb Size: 90116 SHA256: 7b1f3f8718bae55e7d612ff46474321e316a7b6c3995e61c2d1f9bd3206f34f8 SHA1: 2dabe10f4ec42810d36c3f92740c078eae537399 MD5sum: fb51b5583055b3c4a2f2eb4facd36aab Description: library for accessing Kinect device -- documentation libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the documentation of the API of libfreenect. Package: libfreenect0.5 Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 107 Pre-Depends: multiarch-support Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libusb-1.0-0 (>= 2:1.0.12) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.5_0.5.2+git6-g5455843+dfsg-1~nd90+1_amd64.deb Size: 42182 SHA256: c180a7d2153f16a77fa11807c8a9020ca85e1267a68a0ec61322bf1d75651043 SHA1: 2b5165952be693d7a633b242be8bd1bc18657ef9 MD5sum: 17911ec48b23e462c1614942a573cceb Description: library for accessing Kinect device libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the shared library of libfreenect. Package: libgdf-dev Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 115 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.2-2~nd70+1+nd90+1_amd64.deb Size: 17388 SHA256: bb6f84afdf72035f9004d9e221388f46995a0ea79099e1ddfda6bf02c714a876 SHA1: 95366efae4c374453f2db0c494b0eddaacf6510f MD5sum: 5ed58c6bdf8f4be6ed56e373624a648a Description: IO library for the GDF -- development library GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the header files and static library. Package: libgdf0 Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 817 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.6) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.2-2~nd70+1+nd90+1_amd64.deb Size: 146586 SHA256: eb67e146a8bf93ce91952511ef043689be87d64e4795772328c2a0de1cd0c2eb SHA1: f6e80262cd088d0c1ae341197cb697da639590b9 MD5sum: 31e8c0ef247efd399022aee3fdc3cdb5 Description: IO library for the GDF (general dataformat for biosignals) GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package contains the shared library. Package: libgdf0-dbg Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3314 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-2~nd70+1+nd90+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbg_0.1.2-2~nd70+1+nd90+1_amd64.deb Size: 546860 SHA256: b5d1a1eb6f4a009a6880ace283d173cfaf4940aa802363aec2d37ee5860662ec SHA1: 42362f7e0895db277cf8937a605a352772691230 MD5sum: b96a634e1ff9e491073b702c2bae3632 Description: IO library for the GDF -- debug symbols GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides debug symbols. Package: libghc-network-protocol-xmpp-dev Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90 Architecture: amd64 Maintainer: Debian Haskell Group Installed-Size: 1632 Depends: libc6 (>= 2.2.5), libghc-base-dev-4.8.2.0-0d6d1, libghc-bytestring-dev-0.10.6.0-9a873, libghc-gnuidn-dev-0.2.1-55c71, libghc-gnutls-dev-0.2-e9479, libghc-gsasl-dev-0.3.6-44bf4, libghc-libxml-sax-dev-0.7.5-5c696, libghc-monads-tf-dev-0.1.0.2-6cb91, libghc-network-dev-2.6.2.1-25f4f, libghc-text-dev-1.2.1.3-50bb4, libghc-transformers-dev-0.4.2.0-81450, libghc-xml-types-dev-0.3.6-f0364 Suggests: libghc-network-protocol-xmpp-doc, libghc-network-protocol-xmpp-prof Provides: libghc-network-protocol-xmpp-dev-0.4.8-ba1a4 Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: haskell Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-dev_0.4.8-2+ndb1~nd90_amd64.deb Size: 176130 SHA256: c7db90999c311fde2a488ca4a4c1f883e5164ff3691b638185ae10b72f89ce9f SHA1: e3b81099e5f554410a4754470a3e4765d8c1760b MD5sum: ed0c10db467b967d067f3be344143fdf Description: Haskell XMPP (Jabber) library This library defines an XMPP data type and functions. . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Ghc-Package: network-protocol-xmpp-0.4.8-ba1a4a5a5f67e9768490e152e5a67893 Package: libghc-network-protocol-xmpp-doc Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90 Architecture: all Maintainer: Debian Haskell Group Installed-Size: 475 Depends: haddock-interface-27 Recommends: ghc-doc, libghc-monads-tf-doc, libghc-network-doc, libghc-text-doc, libghc-xml-types-doc Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: doc Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-doc_0.4.8-2+ndb1~nd90_all.deb Size: 55164 SHA256: 81833a4491c651759b4cfeec459bee321e860d56681dd588e47c69380475202d SHA1: 6d97683ea5cf2cbfd37ef064dbe786e970e97202 MD5sum: fac4a8b7f49ccde1df6012b14266b0f3 Description: Haskell XMPP (Jabber) library; documentation; documentation This library defines an XMPP data type and functions. . This package provides the documentation for a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Package: libghc-network-protocol-xmpp-prof Source: haskell-network-protocol-xmpp Version: 0.4.8-2+ndb1~nd90 Architecture: amd64 Maintainer: Debian Haskell Group Installed-Size: 1378 Depends: libghc-network-protocol-xmpp-dev (= 0.4.8-2+ndb1~nd90), libghc-base-prof-4.8.2.0-0d6d1, libghc-bytestring-prof-0.10.6.0-9a873, libghc-gnuidn-prof-0.2.1-55c71, libghc-gnutls-prof-0.2-e9479, libghc-gsasl-prof-0.3.6-44bf4, libghc-libxml-sax-prof-0.7.5-5c696, libghc-monads-tf-prof-0.1.0.2-6cb91, libghc-network-prof-2.6.2.1-25f4f, libghc-text-prof-1.2.1.3-50bb4, libghc-transformers-prof-0.4.2.0-81450, libghc-xml-types-prof-0.3.6-f0364 Provides: libghc-network-protocol-xmpp-prof-0.4.8-ba1a4 Homepage: https://john-millikin.com/software/haskell-xmpp/ Priority: extra Section: haskell Filename: pool/main/h/haskell-network-protocol-xmpp/libghc-network-protocol-xmpp-prof_0.4.8-2+ndb1~nd90_amd64.deb Size: 147794 SHA256: fea05da92847989c9ae5735f2e21c42a6e716a37bbe8669e1d44758b49ae0aa3 SHA1: 0c7306eadcc224d01e534703419b2b0c034892a2 MD5sum: ade974ba56f5a120cd65d68087d4dc26 Description: Haskell XMPP (Jabber) library; profiling libraries; profiling libraries This library defines an XMPP data type and functions. . This package provides a library for the Haskell programming language, compiled for profiling. See http://www.haskell.org/ for more information on Haskell. Package: libghc-optparse-applicative-dev Source: haskell-optparse-applicative Version: 0.13.2.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2894 Depends: neurodebian-popularity-contest, libghc-ansi-wl-pprint-dev-0.6.7.3-3ff31, libghc-base-dev-4.9.0.0-5e731, libghc-process-dev-1.4.2.0-e39cb, libghc-transformers-dev-0.5.2.0-3446d, libghc-transformers-compat-dev-0.5.1.4-518aa, libc6 (>= 2.2.5), libgmp10 Suggests: libghc-optparse-applicative-doc, libghc-optparse-applicative-prof Provides: libghc-optparse-applicative-dev-0.13.2.0-dae4a Homepage: https://github.com/pcapriotti/optparse-applicative Priority: extra Section: haskell Filename: pool/main/h/haskell-optparse-applicative/libghc-optparse-applicative-dev_0.13.2.0-1~nd90+1_amd64.deb Size: 276874 SHA256: b0c444c752a9bd70116af13d3209e334bb7b76eba98e518609a56e9d82d9b3ae SHA1: 067c64d5e6703d06caad19d0dd44fc418edab11a MD5sum: eb23c902bef6f9c0f761a136c64f45eb Description: utilities and combinators for parsing command-line options This is a library for constructing command-line option parsers in the applicative style. . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Ghc-Package: optparse-applicative-0.13.2.0-7z3qkGt2F0x67Ak41MNRgb Package: libghc-optparse-applicative-doc Source: haskell-optparse-applicative Version: 0.13.2.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1432 Depends: neurodebian-popularity-contest, haddock-interface-28 Recommends: ghc-doc, libghc-ansi-wl-pprint-doc, libjs-mathjax Homepage: https://github.com/pcapriotti/optparse-applicative Priority: extra Section: doc Filename: pool/main/h/haskell-optparse-applicative/libghc-optparse-applicative-doc_0.13.2.0-1~nd90+1_all.deb Size: 111584 SHA256: 50edb1bc2b06e460549a1b5b39a60cd403360dc631f40285adae300ec116195f SHA1: 2301fbf9d5d51814e961324effd5273fd1c8ac29 MD5sum: cb0dbf77b25ffccd981da02206d127d0 Description: utilities and combinators for parsing command-line options; documentation This is a library for constructing command-line option parsers in the applicative style. . This package provides the documentation for a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell. Package: libghc-optparse-applicative-prof Source: haskell-optparse-applicative Version: 0.13.2.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2698 Depends: neurodebian-popularity-contest, libghc-optparse-applicative-dev (= 0.13.2.0-1~nd90+1), libghc-ansi-wl-pprint-prof-0.6.7.3-3ff31, libghc-base-prof-4.9.0.0-5e731, libghc-process-prof-1.4.2.0-e39cb, libghc-transformers-prof-0.5.2.0-3446d, libghc-transformers-compat-prof-0.5.1.4-518aa Provides: libghc-optparse-applicative-prof-0.13.2.0-dae4a Homepage: https://github.com/pcapriotti/optparse-applicative Priority: extra Section: haskell Filename: pool/main/h/haskell-optparse-applicative/libghc-optparse-applicative-prof_0.13.2.0-1~nd90+1_amd64.deb Size: 274746 SHA256: 9d3498d35d45608dad9715d2e03fadc939731a317252d41205d1f3ec2d8de8c7 SHA1: d7dbf7bf90b0c46537930413732f26008ef3cea3 MD5sum: 4822c068e32c7e8a05116a7aeab38265 Description: utilities and combinators for parsing command-line options; profiling libraries This is a library for constructing command-line option parsers in the applicative style. . This package provides a library for the Haskell programming language, compiled for profiling. See http://www.haskell.org/ for more information on Haskell. Package: libgiftiio-dev Source: gifticlib Version: 1.0.9-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 241 Depends: neurodebian-popularity-contest, libgiftiio0 (= 1.0.9-2~nd90+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~nd90+1_amd64.deb Size: 47912 SHA256: 0e15fcc4732da1f48a6c8af71c8e6b332c74251843df41ccd329eaf94bf052c1 SHA1: 49fe434e4e13bd87180a41ef3bef897a1af3e586 MD5sum: 931a3a950ec8897bb8853f50725f9561 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 159 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), 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~nd90+1_amd64.deb Size: 45228 SHA256: f665a5f972b8d4651fd09d258532233c6696fa54823df5e02c51dabaa2d09a6e SHA1: 4ed1102aeff85395a6806571060b78e743b4a75f MD5sum: 8a3fa3b542fb7fe14d1c70af85564aa1 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~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: libgiftiio0 (= 1.0.9-2~nd90+1) Homepage: http://www.nitrc.org/projects/gifti Priority: extra Section: debug Filename: pool/main/g/gifticlib/libgiftiio0-dbgsym_1.0.9-2~nd90+1_amd64.deb Size: 5230 SHA256: bbd2268486cd3b2c75642546c0cd518832ff366257bdf92cf579f74d518610f1 SHA1: c1a9bf75419349e20977ef8d162c77238f3e0040 MD5sum: 36623ea5b60c903cf2c4d23e56dcc4ad Description: Debug symbols for libgiftiio0 Build-Ids: ba8eec3f647b659069e6cb688bb595414d202e46 Package: libglew1.9 Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 631 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 Suggests: glew-utils Conflicts: libglew1 Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libs Filename: pool/main/g/glew/libglew1.9_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 128732 SHA256: d70dab5a5908493247517295ef8f0703a5824a858c7de1d969aeff70a006710f SHA1: d57dc252510e8cc25f1a8a472fe8d7255576f635 MD5sum: 6db0eb263b7140c451be1f3eaf5d2f39 Description: OpenGL Extension Wrangler - runtime environment For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the runtime support files. Package: libglew1.9-dbg Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 160 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglew1.9-dbg_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 33520 SHA256: e37397eb8c1a9dd050c41862f7dcd0c84d5ed89c15bdceda5a8c8eee42862f48 SHA1: 5cfac2851b18a3f0d15fb1b0cd2796aef5e24533 MD5sum: 64ac0ec4362bf2fb67378ac635e7263f Description: OpenGL Extension Wrangler (debugging symbols) The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the debugging symbols for libglew1.9. Package: libglew1.9-dev Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1014 Depends: neurodebian-popularity-contest, libgl1-mesa-dev | libgl-dev, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1), libglu1-mesa-dev | libglu-dev Conflicts: libglew-dev, libglew1.6-dev Provides: libglew1.5-dev, libglew1.6-dev Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/g/glew/libglew1.9-dev_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 109622 SHA256: c41d2d7c06457ecc368000dee09d75502513b8807258520b9ed2b82b122efd16 SHA1: f7484e4f97acf28d6cf0bf73792a9b7cafbe1e99 MD5sum: e47b79dc34b11c398ddfc7721c6aa9ce Description: OpenGL Extension Wrangler - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the development documentation as well as the required header files. Package: libglewmx1.9 Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 558 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libgl1-mesa-glx | libgl1, libx11-6, libxext6, libxi6, libxmu6 Conflicts: libglew1 Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libs Filename: pool/main/g/glew/libglewmx1.9_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 114532 SHA256: 580f10dff7256f54fb434432120ec773d3b1a2725a9b010e8f1fce747ebdc20c SHA1: 7928aa7f7eb0fa6325d1e1b0965c97ce5e9a9d34 MD5sum: 22b5aaf286fa14f945cb3c4dc718e607 Description: OpenGL Extension Wrangler (Multiple Rendering Contexts) For more information about GLEW please refer to the description of the libglewmx-dev package. . This package contains the runtime support files, built with GLEW_MX option, adding support for thread-safe usage of multiple rendering contexts. Package: libglewmx1.9-dbg Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, libglewmx1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1) Homepage: http://glew.sourceforge.net Priority: extra Section: debug Filename: pool/main/g/glew/libglewmx1.9-dbg_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 26958 SHA256: d157d134d66d7955847cdf33d3fe5f0b5f7026d06bafbc8e1a370dbe476a2cd6 SHA1: fe76e08c3813826712680c656282ef63d5d86212 MD5sum: 2d615569fa0c103e13ca363e3186d23d Description: OpenGL Extension Wrangler MX (debugging symbols) The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the debugging symbols for libglewmx1.9. Package: libglewmx1.9-dev Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, libglew1.9-dev, libglewmx1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1) Conflicts: libglewmx-dev, libglewmx1.6-dev Provides: libglewmx1.5-dev, libglewmx1.6-dev Multi-Arch: same Homepage: http://glew.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/g/glew/libglewmx1.9-dev_1.9.0-3~bnd1~nd70+1+nd90+1_amd64.deb Size: 8488 SHA256: 8535410059de8e7d3a39018160daf6d76b3bbb72e06538c9b5fbbc9f376e71f8 SHA1: 568bd266a02ff20c69cbde21f44d5f485901e888 MD5sum: 84b285bba9038b8db83585ac1fa7b7b6 Description: OpenGL Extension Wrangler MX - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry (http://www.opengl.org/registry). . This package contains the development libraries compiled with GLEW_MX. Package: libguac-client-rdp0 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.6.0), libfreerdp-cache1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-client1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-codec1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-core1.1 (>= 1.1.0~beta1+git20130629), libfreerdp-utils1.1 (>= 1.1.0~beta1+git20130629), libguac5, libogg0 (>= 1.0rc3), libvorbis0a (>= 1.1.2), libvorbisenc2 (>= 1.1.2), ghostscript Recommends: libfreerdp-plugins-standard Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-rdp0_0.8.3-1~nd80+1+nd90+1_amd64.deb Size: 28644 SHA256: 4bc9d2c2558ddb3927c0462ceefcc5139ecbdc9bc51c71c3c3ebe5e70f2b4d2d SHA1: 47106b823424cc0a15e7b1ec194ebd2352bc50ef MD5sum: 52c2b259dbd60db575b8142a684185c7 Description: RDP support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the RDP protocol (Windows Remote Desktop). Package: libguac-client-ssh0 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 74 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libcairo2 (>= 1.2.4), libglib2.0-0 (>= 2.12.0), libguac5, libpango-1.0-0 (>= 1.22.0), libpangocairo-1.0-0 (>= 1.14.0), libssh-4 (>= 0.3.91) Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-ssh0_0.8.3-1~nd80+1+nd90+1_amd64.deb Size: 22202 SHA256: e9d9de270f235bc8f401c19baf727b32d8a9fa232b7efbf34ee5f7746acc31c0 SHA1: dd8c80261a3e983223ae888ffcbfc4832d58a79f MD5sum: 79b1a5109830d5a63111266517e3838f Description: SSH support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the SSH protocol. Package: libguac-client-vnc0 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 45 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libcairo2 (>= 1.6.0), libguac5, libpulse0 (>= 0.99.1), libvncclient1 (>= 0.9.10) Recommends: vnc4server Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac-client-vnc0_0.8.3-1~nd80+1+nd90+1_amd64.deb Size: 10950 SHA256: 7edaa19a2b714a95ee47ac1bf4d2a885b221f47c97f17b74d84bfac0d064ece8 SHA1: 5009104c4ad311eaa2e496835ad842fdc47ca423 MD5sum: 38d3e6551ecbeeff4ff1d77ea194115d Description: VNC support plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the VNC protocol. Package: libguac-dev Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 232 Depends: neurodebian-popularity-contest, libguac5 (= 0.8.3-1~nd80+1+nd90+1) Replaces: libguac1-dev Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libdevel Filename: pool/main/g/guacamole-server/libguac-dev_0.8.3-1~nd80+1+nd90+1_amd64.deb Size: 36214 SHA256: b670580d37675e82818b8a5f2b140011e9a3dcdc4b438d3573d6c1dfc443da94 SHA1: 79c1af10e5f6d89d8d64a56343db017086513ab3 MD5sum: e0ac1bc846477e9a8031d56830ee31a2 Description: Development headers for the core Guacamole library The development headers for the core Guacamole library used by guacd and all client plugins. This package is required for development of new client plugins, or for building existing plugins and guacd. Package: libguac3 Source: libguac Version: 0.6.0-2~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 54 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), libcairo2 (>= 1.2.4), libpng12-0 (>= 1.2.13-4) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac/libguac3_0.6.0-2~nd70+1+nd90+1_amd64.deb Size: 15646 SHA256: 3da543c61873766914e80b10cfaf1f81b02cd156d0e8af38603e7acb2306b42c SHA1: f0991bbf649b0d02589de156ad7f0641d37d020e MD5sum: 189143f12a1a57e7f9857f2d98040270 Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libguac5 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), libcairo2 (>= 1.2.4), libogg0 (>= 1.0rc3), libpng12-0 (>= 1.2.13-4), libvorbis0a (>= 1.1.2), libvorbisenc2 (>= 1.1.2) Multi-Arch: same Homepage: http://guac-dev.org/ Priority: extra Section: libs Filename: pool/main/g/guacamole-server/libguac5_0.8.3-1~nd80+1+nd90+1_amd64.deb Size: 21728 SHA256: e857b03e79d8caf85cff9912cc508a4548c6ed31fff27d311844f07a1a6b7dbd SHA1: 6398667d6bd9029628321321a653d8efab4c5c3b MD5sum: 6a74e8197a8a36cdf9893aa060052fc3 Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libinsighttoolkit4-dbg Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 42018 Depends: neurodebian-popularity-contest, libinsighttoolkit4.7 (= 4.7.0-1~nd80+1+nd90+1) Homepage: http://www.itk.org/ Priority: extra Section: debug Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dbg_4.7.0-1~nd80+1+nd90+1_amd64.deb Size: 37243952 SHA256: f87b0464e6ee6725385838b6f0428d1dc326ceb60315b3cc08b16f84c8efb522 SHA1: 42ae6dcb30b7de9b9d13bc326e514c920eff6d03 MD5sum: 845b08b2a7cff8604077b596aed4b6bd Description: Debugging information for the Insight Toolkit ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the debug files of the libraries. Package: libinsighttoolkit4-dev Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27420 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libinsighttoolkit4.7 (= 4.7.0-1~nd80+1+nd90+1), libstdc++6 (>= 4.9), libgdcm2-dev, libdcmtk2-dev, libhdf5-dev Recommends: libfftw3-dev, uuid-dev Suggests: insighttoolkit4-examples Conflicts: libinsighttoolkit-dev, libinsighttoolkit3-dev Replaces: libinsighttoolkit-dev Homepage: http://www.itk.org/ Priority: optional Section: libdevel Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4-dev_4.7.0-1~nd80+1+nd90+1_amd64.deb Size: 2948152 SHA256: 9b07ac47dd90635f90cbab24dc31c343be6ab2668c1a174e523e5bb55dd3a353 SHA1: 0a49b32e8777a624527efd88f84701123c90a57d MD5sum: c95dfeeee3537c321e8e3135a824dc0d Description: Image processing toolkit for registration and segmentation - development ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the development files needed to build your own ITK applications. Package: libinsighttoolkit4.7 Source: insighttoolkit4 Version: 4.7.0-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 25927 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfftw3-double3, libfftw3-single3, libgcc1 (>= 1:4.1.1), libgdcm2.4, libhdf5-8, libhdf5-cpp-8 (>= 1.8.13), libjpeg62-turbo (>= 1.3.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtiff5 (>= 4.0.3), zlib1g (>= 1:1.2.3.4) Homepage: http://www.itk.org/ Priority: optional Section: libs Filename: pool/main/i/insighttoolkit4/libinsighttoolkit4.7_4.7.0-1~nd80+1+nd90+1_amd64.deb Size: 4697678 SHA256: 1ee36547e6fd10fb9d633335e2cc76b5a9a23fd9bfcf1be5b5bc5a07233e0efb SHA1: 12dd841dfd47226c14cd758d76cc5d7acb97f201 MD5sum: d8de8f7c228fc47ad130d56cd8c8a893 Description: Image processing toolkit for registration and segmentation - runtime ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the libraries needed to run ITK applications. Package: libipmiconsole-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 518 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libipmiconsole2 (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmiconsole-dev_1.4.9-1~nd90+1_amd64.deb Size: 101842 SHA256: f796205d49eca9732b7f811899deecb885738c8edb47aceb13907b6bc37b8516 SHA1: 77f6534e67f53a19b396b1ceee881fdef2277073 MD5sum: c3201481aec89f16c3601cf9d01f96af Description: GNU IPMI - ipmiconsole development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmiconsole. Package: libipmiconsole2 Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 266 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmiconsole2_1.4.9-1~nd90+1_amd64.deb Size: 85782 SHA256: 93dd6878bb02f0d1b39c87cb8b0268dc9d2e2966b0c9f3e310325bc5d39be2ae SHA1: f9168d8a24745b90bd11a8787c07dc5add8b9da7 MD5sum: 2ced60e5cf807da82dca550cc4e150af Description: GNU IPMI - Serial-over-Lan library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for Serial-over-Lan (SOL). Package: libipmidetect-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libipmidetect0 (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmidetect-dev_1.4.9-1~nd90+1_amd64.deb Size: 31608 SHA256: 68aabe06020641861dff35b7e62f6b3e149f61cde62a004d416c8ee635114745 SHA1: 047711a1919b4d656ea89d90b3bd27b6f8087c7a MD5sum: 53a42d36a1f17dfc9cb1408a1fb5e0c5 Description: GNU IPMI - ipmidetect development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmidetect. Package: libipmidetect0 Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 75 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmidetect0_1.4.9-1~nd90+1_amd64.deb Size: 25644 SHA256: 2aec6300bac296be554a6d2845b5a9a888a25c73780d474d38540004a59030d4 SHA1: d6d4f1a68b0fa5ed4e26815ddce1842ce3f6f340 MD5sum: 32015748b8626156314b060392728bf1 Description: GNU IPMI - IPMI node detection library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for IPMI node detection. Package: libipmimonitoring-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 323 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd90+1), libipmimonitoring5a (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libdevel Filename: pool/main/f/freeipmi/libipmimonitoring-dev_1.4.9-1~nd90+1_amd64.deb Size: 61602 SHA256: c6b0613ea33667882f8f324fe7053ee2d0a2cc48945a32cac032f62dabcd87f0 SHA1: 0950f607ce83d44f456108de77c58ee70107e8b5 MD5sum: c4723d5c31f480e8f8b942a04c5202ac Description: GNU IPMI - ipmimonitoring development package FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This is the development package for libipmimonitoring. Package: libipmimonitoring5a Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libfreeipmi16 (>= 1.4.4), libgcrypt20 (>= 1.6.0), freeipmi-common (= 1.4.9-1~nd90+1) Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: libs Filename: pool/main/f/freeipmi/libipmimonitoring5a_1.4.9-1~nd90+1_amd64.deb Size: 43398 SHA256: 19cf28a06e4ce221b7f52dd5c9f42315451c3ba22ddb0f27ada2153eaeef0f12 SHA1: 4f05b978fba1062b0aa36d745fcbad67ef1d2bc2 MD5sum: c1f260be6b5cefef16b9764520056bc4 Description: GNU IPMI - Sensor monitoring library FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . A library for sensor monitoring. Package: libismrmrd-dev Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 67 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd90+1) Suggests: libismrmrd-doc Homepage: http://ismrmrd.github.io/ Priority: optional Section: libdevel Filename: pool/main/i/ismrmrd/libismrmrd-dev_1.3.2-1~nd90+1_amd64.deb Size: 13808 SHA256: 4b17d7a61f25fa26f3e071edb161efe859448d967cb1bfe1bc6f2b640a5a9408 SHA1: 9d9cb25f02968c6512101c77499ad38a2ebec6d6 MD5sum: bbc57e529c79b13eed2fb79795950816 Description: ISMRM Raw Data format (ISMRMRD) - development files The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the development files. Package: libismrmrd-doc Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1987 Depends: neurodebian-popularity-contest Homepage: http://ismrmrd.github.io/ Priority: optional Section: doc Filename: pool/main/i/ismrmrd/libismrmrd-doc_1.3.2-1~nd90+1_all.deb Size: 158250 SHA256: cd29ecf75ed8a2f2c6d14b83f63fe38b4d15ad1220bd2153bdfdf266921d1736 SHA1: 7e43ee7fc12a4f0468d6cd6cb359bd39131f829c MD5sum: 882d568635f9cab550288c0009160547 Description: ISMRM Raw Data format (ISMRMRD) - documentation The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the documentation. Package: libismrmrd1.3 Source: ismrmrd Version: 1.3.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 348 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libhdf5-10, libpugixml1v5 (>= 1.4), libstdc++6 (>= 5.2) Homepage: http://ismrmrd.github.io/ Priority: optional Section: science Filename: pool/main/i/ismrmrd/libismrmrd1.3_1.3.2-1~nd90+1_amd64.deb Size: 79098 SHA256: 52965db0ae394674d6e66036c1efd646de41b1d8cfc92922117e36671f16cae8 SHA1: 1d3bffa9a1ad10240c0aaa3fe12ca7b128523ce8 MD5sum: 543d48a6c8e2e4f9973850fdd0e7af01 Description: ISMRM Raw Data format (ISMRMRD) - shared library The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data. . In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data. . This package provides the shared library. Package: libmia-2.0-8 Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27742 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-serialization1.55.0, libboost-system1.55.0, libboost-test1.55.0, libc6 (>= 2.14), libdcmtk2 (>= 3.6.0), libfftw3-single3, libgcc1 (>= 1:4.1.1), libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1c2a (>= 2.44.0), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libitpp8, libjpeg62-turbo (>= 1.3.1), libnlopt0 (>= 2.3), libopenexr6 (>= 1.6.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtbb2, libtiff5 (>= 4.0.3), libvistaio14 (>= 1.2.14), libvtk5.8, libxml++2.6-2 (>= 2.38.0) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/m/mia/libmia-2.0-8_2.0.13-1~nd80+1+nd90+1_amd64.deb Size: 3859146 SHA256: 07d4e59f7b854e115c797054a4d1eafb4645bc25477c8867919719c92f6edced SHA1: 6ef2d3387b3c24e909e6ae993f5a2d7f93c9c3e7 MD5sum: 6186a8bb6037a8e027f3a9d6ca33af00 Description: library for 2D and 3D gray scale image processing libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. Package: libmia-2.0-8-dbg Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 68673 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/libmia-2.0-8-dbg_2.0.13-1~nd80+1+nd90+1_amd64.deb Size: 62327722 SHA256: 25adeee76411411f0a7086f9914647b77e62dba944cbf12b738962b91e735ee1 SHA1: a113b085746aba03b9d88326a1faa903ff0bd7a4 MD5sum: d480e8488d333e668d01c0e9af25e2af Description: Debug information for the MIA library libmia comprises a set of libraries and plug.ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. libmia is library for general purpouse 2D and 3D gray scale image processing. This package provides the debug information of the library. Package: libmia-2.0-dev Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1254 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd80+1+nd90+1), libxml++2.6-dev (>= 2.34.1), libitpp-dev (>= 4.2), libtbb-dev, libgsl0-dev, libboost-all-dev (>= 1.46.1), libfftw3-dev, libblas-dev Recommends: libmia-2.0-doc Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/m/mia/libmia-2.0-dev_2.0.13-1~nd80+1+nd90+1_amd64.deb Size: 177544 SHA256: 8974a1c30231c10477b7693869cf4e6728a5eb3dcfe56fbe076b6e6ed61439a7 SHA1: b625c6b25822755922f1b707eece03def0da8ea2 MD5sum: 143216100e7fc56d0edfffa325df7ab1 Description: library for 2D and 3D gray scale image processing, development files libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. This package provides the development files for the library. Package: libmia-2.0-doc Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16445 Depends: neurodebian-popularity-contest, libjs-jquery Enhances: libmia-2.0-dev Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/m/mia/libmia-2.0-doc_2.0.13-1~nd80+1+nd90+1_all.deb Size: 1145474 SHA256: 22353c91f476fe6f63f1a34963bd303a1bd030f369a334dc9ad85e91cd14fcb4 SHA1: 207ee6bcc687e9307274cf8def76f6d865690575 MD5sum: 27dbf2673981e05d840fd884459a2f2b Description: library for 2D and 3D gray scale image processing, documentation libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. This package provides the Doxygen generated API reference. Package: libmialm-dev Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 438 Depends: neurodebian-popularity-contest, libmialm3 (= 1.0.7-2~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/libm/libmialm/libmialm-dev_1.0.7-2~nd80+1+nd90+1_amd64.deb Size: 78000 SHA256: 9a88c0b1ff92d3b11c4832584318e192f1605d98ab4f6d6152bfcc41f3e63038 SHA1: ce7b37dd3bd75d370ddb81fd2a158fecae86bb91 MD5sum: 0c238ec16233c3857eb864ae40ae6207 Description: Development files for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package contains the development files - headers, shared libraries, and pkg-config files. Package: libmialm-doc Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 249 Depends: neurodebian-popularity-contest Suggests: devhelp Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/libm/libmialm/libmialm-doc_1.0.7-2~nd80+1+nd90+1_all.deb Size: 21262 SHA256: b818b86b8b03b2de2d9028afb4a6fcefc7efac47e9922d583ca24642e136f7ba SHA1: 4068ababf8509c40454974d12b1f613f93cc5a6f MD5sum: 20aa66e7a83a9b83d8626eabb1a0ca36 Description: Documentation for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package contains the library documentation. Package: libmialm3 Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 72 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libglib2.0-0 (>= 2.41.1), libxml2 (>= 2.7.4) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libm/libmialm/libmialm3_1.0.7-2~nd80+1+nd90+1_amd64.deb Size: 18478 SHA256: 82214c5754b9ab084bfb7e69cef0ab1a064160ea0e13116d3d5075d3849718e7 SHA1: aa2cd3e00016cc61eea57b5ca61583dab51ec1a3 MD5sum: 2396f9b33b2f3192d692af2e547d63c6 Description: Landmark handling for the MIA tool chain This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. Package: libmialm3-dbg Source: libmialm Version: 1.0.7-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, libmialm3 (= 1.0.7-2~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/libm/libmialm/libmialm3-dbg_1.0.7-2~nd80+1+nd90+1_amd64.deb Size: 58808 SHA256: b5e91f0a1a161ab3ab157ba0d9e5043f07a278261668dd22d1c6a714b0d78f34 SHA1: 8dd70bfed33a54b7a3ac3cbf03ac9b5c205b648c MD5sum: 3347f4a52ebcb8d061a90effbdd0ae17 Description: Debug information for the MIA landmark library This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package provides the debug information of the library. Package: libnifti-dev Source: nifticlib Version: 2.0.0-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 573 Depends: neurodebian-popularity-contest, libnifti2 (= 2.0.0-2~nd80+1+nd90+1) Conflicts: libfslio-dev, libnifti0-dev, libnifti1-dev, libniftiio-dev Replaces: libnifti1-dev Homepage: http://niftilib.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/n/nifticlib/libnifti-dev_2.0.0-2~nd80+1+nd90+1_amd64.deb Size: 137908 SHA256: 647306ef1786b09d4cc2aa541b2d22046d7fd0af6a3a8aa93e7696f6c9e72f21 SHA1: 65eed10a4e74bdd7d1d8e7142804440bac4f0ec7 MD5sum: 0f92ca90ad5870ae6287a1bff098f41c Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the header files and static libraries of libniftiio, znzlib and libnifticdf. Package: libnifti-doc Source: nifticlib Version: 2.0.0-2~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1705 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://niftilib.sourceforge.net Priority: optional Section: doc Filename: pool/main/n/nifticlib/libnifti-doc_2.0.0-2~nd80+1+nd90+1_all.deb Size: 137744 SHA256: f5f624f2a3073c1676ff234d94abc713ce4c73e4a17989868035bc67d1e4d9e9 SHA1: defc10d95d0f843756f9402e05ba12d41e1546c0 MD5sum: 4dbe6f75c01b260f4534930c082b2774 Description: NIfTI library API documentation Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the library API reference documentation. Package: libnifti2 Source: nifticlib Version: 2.0.0-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 289 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), zlib1g (>= 1:1.1.4) Homepage: http://niftilib.sourceforge.net Priority: optional Section: libs Filename: pool/main/n/nifticlib/libnifti2_2.0.0-2~nd80+1+nd90+1_amd64.deb Size: 107348 SHA256: 961479658cee3fe66b2fcde2cf22310e16fde0d445c32775c7492e2822cc15c3 SHA1: 9888d853f0bc99bec28e03d5bab4138bc31f69dd MD5sum: fcc9652ba0529098e553de68b50ab39d Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package contains the shared library of the low-level IO library niftiio, low-level IO library znzlib and the nifticdf shared library that provides functions to compute cumulative distributions and their inverses. Package: libnlopt-dev Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 618 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1) Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libdevel Filename: pool/main/n/nlopt/libnlopt-dev_2.4.1+dfsg-1~nd80+1+nd90+1_amd64.deb Size: 173880 SHA256: 1d0704ba84611e1bebff6e497934682d3e12b6f8c84fb4694d6b8e2f2116cb61 SHA1: e39d4abfd8ecb3b8302a0ee0b3616deca02271fb MD5sum: 294f01be202ea8237e9b2ccb82f7d429 Description: nonlinear optimization library -- development package NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the header files, static libraries and symbolic links that developers using NLopt library will need. Package: libnlopt-guile0 Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 152 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), guile-1.8 Multi-Arch: same Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libs Filename: pool/main/n/nlopt/libnlopt-guile0_2.4.1+dfsg-1~nd80+1+nd90+1_amd64.deb Size: 37420 SHA256: 26d4cc203706d52bca4221a629f0f5f9c22d60fd9dd05a2a262431901f11b3a3 SHA1: ff00b7b1781dd326fab3882f78c1309e8fffede2 MD5sum: fd1382d42eb3b30188b44ab04ff38e63 Description: nonlinear optimization library -- Guile bindings NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the bindings for GNU Guile. Package: libnlopt0 Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 449 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Multi-Arch: same Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: libs Filename: pool/main/n/nlopt/libnlopt0_2.4.1+dfsg-1~nd80+1+nd90+1_amd64.deb Size: 164904 SHA256: 2802684981a3fe8a9123dae7ab236d41eb5f36c758571483d0eb6b5f2476a83f SHA1: 1b661bd09e30adddc8c3d8fa5c5dda8dbf320868 MD5sum: dc21eb048fef1504668480a6fa703b1b Description: nonlinear optimization library NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package provides the shared libraries required to run programs compiled with NLopt. To compile your own programs you also need to install libnlopt-dev. Package: libobs-dev Source: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 559 Depends: neurodebian-popularity-contest, libobs0 (= 21.0.2+dfsg1-1~nd90+1) Homepage: https://obsproject.com Priority: optional Section: libdevel Filename: pool/main/o/obs-studio/libobs-dev_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 84956 SHA256: dcd5211de2ee723d7c491db9292d4a3df348254eec83e4660b8d652dc34e0f7d SHA1: c0044fb169534fe42e24d1e79876d76788486ec9 MD5sum: 65431ebf4e60f9d86d638bb45f331d3c Description: recorder and streamer for live video content (development files) OBS Studio is designed for efficiently recording and streaming live video content. It supports live RTP streaming to various streaming sites. . This package contains the development files. Package: libobs0 Source: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1550 Depends: neurodebian-popularity-contest, libavcodec57 (>= 7:3.2.9) | libavcodec-extra57 (>= 7:3.2.9), libavformat57 (>= 7:3.2.9), libavutil55 (>= 7:3.2.9), libc6 (>= 2.17), libdbus-1-3 (>= 1.9.14), libgcc1 (>= 1:3.0), libjansson4 (>= 2.3), libpulse0 (>= 0.99.1), libstdc++6 (>= 5.2), libswresample2 (>= 7:3.2.9), libswscale4 (>= 7:3.2.9), libx11-6, libx11-xcb1, libxcb1, zlib1g (>= 1:1.2.6) Multi-Arch: same Homepage: https://obsproject.com Priority: optional Section: libs Filename: pool/main/o/obs-studio/libobs0_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 395068 SHA256: ac3637d423d4b1842ed852734d2ebcb952761a88c744739f2f0d816622aabb1e SHA1: 845a1ed2257cb006960cd9ab4bee881099cb157a MD5sum: 69ee9ade1a186d5d2a36cc1183f1dd45 Description: recorder and streamer for live video content (shared library) OBS Studio is designed for efficiently recording and streaming live video content. It supports live RTP streaming to various streaming sites. . This package contains the shared library libobs. Package: libobs0-dbgsym Source: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2444 Depends: libobs0 (= 21.0.2+dfsg1-1~nd90+1) Multi-Arch: same Homepage: https://obsproject.com Priority: extra Section: debug Filename: pool/main/o/obs-studio/libobs0-dbgsym_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 2216706 SHA256: c16dcc6f07901690300999885791425de7bc132cbdeebd90bb4a1d41d389a375 SHA1: b02868cf1f3b620473a9c699701695b199ea4ce2 MD5sum: f65c85d9a14e76b27da6c3afe30df6de Description: Debug symbols for libobs0 Build-Ids: 6a0ade688f0d8671e4b69504c768987a68c5c3b7 a083d9d813394553d4774c29d77a93fe39c972f1 bde9b5023d20d054d16a197ca64ef5cd20c10896 c261b68775957d1ea186b7b8d0e6d539c45e3bc8 Package: libodin-dev Source: odin Version: 1.8.8-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 25678 Depends: neurodebian-popularity-contest Homepage: http://od1n.sourceforge.net Priority: extra Section: libdevel Filename: pool/main/o/odin/libodin-dev_1.8.8-1~nd80+1+nd90+1_amd64.deb Size: 2631396 SHA256: be2f9382ebdd8e81f4a48f6e7dbbb1e683c276d58d57bca5d368c7a12ac28bcc SHA1: 0e36540fd3ff01f54e6924497c81d2561590e2c2 MD5sum: 74828bb1a11f5616bb735c7db08255df Description: static libraries and header for ODIN sequences This package provides static libraries and headers of the ODIN libraries odindata, adinpara, odinqt, odinseq and tjutils. They are required for building magnetic resonance imaging (MRI) sequences with ODIN. Package: libopenwalnut1 Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7003 Depends: neurodebian-popularity-contest, fonts-liberation (>= 1.0.0), libboost-date-time1.55.0, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libopenscenegraph100, libstdc++6 (>= 4.9) Suggests: nvidia-glx | fglrx-glx Homepage: http://www.openwalnut.org Priority: extra Section: libs Filename: pool/main/o/openwalnut/libopenwalnut1_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_amd64.deb Size: 1313540 SHA256: ef03128ddbd5c274fd24139ba8a1062e461a2f776341172badaf70c55574922a SHA1: fe0a584c6ac592560bd2dffce3b9cd56046c0bd9 MD5sum: 10a4fea50d576c1435f822918878784e Description: Framework for multi-modal medical and brain data visualization OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API of OpenWalnut. Package: libopenwalnut1-dev Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2144 Depends: neurodebian-popularity-contest, libopenwalnut1 (= 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1), libgl1-mesa-dev | libgl-dev, libopenscenegraph-dev (>= 3.0.0), libopenthreads-dev (>= 3.0.0), libboost-dev (>= 1.46.0), libboost-program-options-dev (>= 1.46.0), libboost-thread-dev (>= 1.46.0), libboost-filesystem-dev (>= 1.46.0), libboost-date-time-dev (>= 1.46.0), libboost-system-dev (>= 1.46.0), libboost-signals-dev (>= 1.46.0), libboost-regex-dev (>= 1.46.0), libeigen3-dev (>= 3.0.0) Homepage: http://www.openwalnut.org Priority: extra Section: libdevel Filename: pool/main/o/openwalnut/libopenwalnut1-dev_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_amd64.deb Size: 248428 SHA256: 1b06e3625c1279ff610cb1703578add95f50c96eee4a534380a03813cf9e5bf3 SHA1: 0776cf997025e54a1436d705c96ecec87f2231d7 MD5sum: ce0cb4ab3d26cceffa411f3fcbd8f7f9 Description: Development files for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the headers for the core API of OpenWalnut. Package: libopenwalnut1-doc Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49240 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://www.openwalnut.org Priority: extra Section: doc Filename: pool/main/o/openwalnut/libopenwalnut1-doc_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_all.deb Size: 2681858 SHA256: c83b9176f3ff3cfa9e83ee97caabd28ecede43bf5ffa8dbfe9ce9b72977bcf9e SHA1: 2bc64d4f70f52d587d898216e09ae1457a527dc1 MD5sum: b2239dfc83b9656f9ba915d4fcf8284e Description: Developer documentation for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API documentation of OpenWalnut. Package: libpam-cgroup Source: libcgroup Version: 0.37.1-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 22 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libcgroup1, libpam0g (>= 0.99.7.1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: admin Filename: pool/main/libc/libcgroup/libpam-cgroup_0.37.1-1~nd70+1+nd90+1_amd64.deb Size: 7232 SHA256: 24f3fcdcf9e0fbfeed93663b9725d910ef2c113a07bf74daf3906962c393f238 SHA1: 1cfbfeda3fad371ecadfbcfecfcfb83b58acd299 MD5sum: 800ab4872eefdbc98a1b0f096b54a08b Description: PAM module to move a user session into a cgroup Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . This PAM module will move a user session into an existing cgroup by attempting to match uid and gid against the defined cgroup rules configuration. Package: librtfilter-dev Source: rtfilter Version: 1.1-4~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 41 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd70+1+nd90+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libdevel Filename: pool/main/r/rtfilter/librtfilter-dev_1.1-4~nd70+1+nd90+1_amd64.deb Size: 12064 SHA256: b58067d474dd7379ab6cf5a5dac855bfa71ef4d5557887d57b49e766eecdbf67 SHA1: aef172a9a441bbe36980578c4f993747db40ba3d MD5sum: 5d52bc17d100a42fb84640254b3e98de Description: realtime digital filtering library (development files) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package contains the files needed to compile and link programs which use rtfilter. Package: librtfilter1 Source: rtfilter Version: 1.1-4~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 78 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libs Filename: pool/main/r/rtfilter/librtfilter1_1.1-4~nd70+1+nd90+1_amd64.deb Size: 31186 SHA256: a299e3c2abfff4c38615e14945f8f9a4e63917f3e8ba7e5d141981b47dc5d065 SHA1: 8ae53a8b385d9c74ecb03b2d50a6aed439af3667 MD5sum: 658921be9b8a63113d888ff0b113a394 Description: realtime digital filtering library rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). Package: librtfilter1-dbg Source: rtfilter Version: 1.1-4~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-4~nd70+1+nd90+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: debug Filename: pool/main/r/rtfilter/librtfilter1-dbg_1.1-4~nd70+1+nd90+1_amd64.deb Size: 38670 SHA256: aa56a9afc4e365fed280150cb407eebd0194404ac82be3d88e24694157378609 SHA1: c434c771e5062b24b375b879736aa53bda18337a MD5sum: c5a24a6ac43cc6dac06485921052f193 Description: realtime digital filtering library (debugging symbols) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package provides the debugging symbols of the library. Package: libvistaio-dev Source: libvistaio Version: 1.2.16-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 218 Depends: neurodebian-popularity-contest, libvistaio14 (= 1.2.16-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/libv/libvistaio/libvistaio-dev_1.2.16-1~nd80+1+nd90+1_amd64.deb Size: 108330 SHA256: 7dde97f1166d8613d549cfe74f4971b455862c4340bea8e1a5194cc92c02dbd1 SHA1: 6616f8220ab0c197b1ffaecf833d7a6e26b847a1 MD5sum: cfccea4d4b09b1c68f9f2e46cf185506 Description: Development files for the libvistaio library Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. This is the development package containing the header files, and pkg-config script, and man pages. Package: libvistaio14 Source: libvistaio Version: 1.2.16-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libv/libvistaio/libvistaio14_1.2.16-1~nd80+1+nd90+1_amd64.deb Size: 37832 SHA256: 23f9ccf9fb38b08efe6ee29ff1ecbdf6b1bf7b518fdfb3b7ba741022100f7721 SHA1: b62f7aa8323c24c3ca80e8b80b57ec780e9bca50 MD5sum: 87b48bb8e32db07bf51058587af91fec Description: Library for loading and storing various types of binary data Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. Package: libvistaio14-dbg Source: libvistaio Version: 1.2.16-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 101 Depends: neurodebian-popularity-contest, libvistaio14 (= 1.2.16-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/libv/libvistaio/libvistaio14-dbg_1.2.16-1~nd80+1+nd90+1_amd64.deb Size: 77730 SHA256: 8d19bb84b980262c3fe481aa9f6e757c72fd1b4ad877a46c33745f6f1a65eb1e SHA1: e4477be25cf2f556dad59dbbd004b436fda52091 MD5sum: 6c00f20eb83d60f5fed3ac927285b78e Description: Debug information for the libvistaio library Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. This is package containing the debug information. Package: libvrpn-dev Source: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 762 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd70+1+nd90+1), libvrpnserver0 (= 07.30+dfsg-1~nd70+1+nd90+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libdevel Filename: pool/main/v/vrpn/libvrpn-dev_07.30+dfsg-1~nd70+1+nd90+1_amd64.deb Size: 185236 SHA256: bd659e4132962846039dd588fdfa6b3263525d0bb0114817736b7d4cbfad85b1 SHA1: 496de2b6d7d4eb31bbbc881eec0fafa2fc131361 MD5sum: 4840e8a20b79901a7c41c216299e22cf Description: Virtual Reality Peripheral Network (development files) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the development files Package: libvrpn0 Source: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 569 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libs Filename: pool/main/v/vrpn/libvrpn0_07.30+dfsg-1~nd70+1+nd90+1_amd64.deb Size: 186876 SHA256: 34e4ebfda14a40482ce95dfd427ccaf00f698828e2442a97606318ea4a3e41f0 SHA1: 733e663c9dbcc7c0f9140e98792abcd4418350b0 MD5sum: 1684d35d6eb174431d4957ac6f0f353a Description: Virtual Reality Peripheral Network (client library) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the client shared library Package: libvrpnserver0 Source: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1342 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: libs Filename: pool/main/v/vrpn/libvrpnserver0_07.30+dfsg-1~nd70+1+nd90+1_amd64.deb Size: 372600 SHA256: bc359d50d8cf893d5b056998a90e6198975cdc25c3acfbfbe554dc4f0175e254 SHA1: 626e13b58e1ad31cfb1ca675adb0e32fde3c516b MD5sum: eeb394f1542c2d4d61ebda493789414f Description: Virtual Reality Peripheral Network (server library) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the shared library use in the VRPN server Package: libvtk-dicom-java Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 276 Depends: neurodebian-popularity-contest, libvtk-java, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvtk-dicom0.5, libvtk5.8 Suggests: java-virtual-machine Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: java Filename: pool/main/v/vtk-dicom/libvtk-dicom-java_0.5.5-2~nd90+1_amd64.deb Size: 74106 SHA256: 8fd5fb842908ca6cbff0c349ce274bcaac408c4efbf15850da5334fb54a26461 SHA1: e100dedc83c8955e9f7e4e91f594e170b3feaff7 MD5sum: f2438315c9a0f24b81bba93deb548a3f Description: DICOM for VTK - java This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Java 1.5 bindings Package: libvtk-dicom0.5 Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1876 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgdcm2.4, libstdc++6 (>= 4.9), libvtk5.8, zlib1g (>= 1:1.2.3.4) Multi-Arch: same Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: libs Filename: pool/main/v/vtk-dicom/libvtk-dicom0.5_0.5.5-2~nd90+1_amd64.deb Size: 456220 SHA256: d6089ca4e0ad198d50e0dd54e2404c0fb0927c5609ce9df64532348ffc05df4f SHA1: 81c627becb7f9aae08bcdbd70680e17dc014a3bb MD5sum: fb7d2373dc4915b59a23505a45836fc9 Description: DICOM for VTK - lib This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Libraries for runtime applications Package: libvtk-dicom0.5-dev Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 564 Depends: neurodebian-popularity-contest, libvtk-dicom0.5 (= 0.5.5-2~nd90+1) Conflicts: libvtk-dicom0.4-dev Replaces: libvtk-dicom0.4-dev Provides: libvtk-dicom-dev Multi-Arch: same Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: libdevel Filename: pool/main/v/vtk-dicom/libvtk-dicom0.5-dev_0.5.5-2~nd90+1_amd64.deb Size: 80876 SHA256: 68f6d8b613e705fd3b68200ea6945a950935f0f04b1186606f4de36dbfccf3fd SHA1: b36dbed330d204797b9cdbc91b1cf5a0cf84c954 MD5sum: a58040c1dc0eb6c60828ba11cf111322 Description: DICOM for VTK - dev This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Development headers Package: libxdffileio-dev Source: xdffileio Version: 0.3-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 55 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd70+1+nd90+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libdevel Filename: pool/main/x/xdffileio/libxdffileio-dev_0.3-1~nd70+1+nd90+1_amd64.deb Size: 27252 SHA256: d95f60ca7e3a24424000e1936c520439ee334f98c57761f4b94e2b326c71d445 SHA1: 5d0a79abbd8692cb6120d2be8a68cc8dd813f0b9 MD5sum: 3bb32c1d1914d34e575ec1541a96cffc Description: Library to read/write EEG data file formats (development files) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package contains the files needed to compile and link programs which use xdffileio. Package: libxdffileio0 Source: xdffileio Version: 0.3-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 106 Depends: neurodebian-popularity-contest, libc6 (>= 2.14) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libs Filename: pool/main/x/xdffileio/libxdffileio0_0.3-1~nd70+1+nd90+1_amd64.deb Size: 39382 SHA256: 18e4e6acc800cd8a10f929f23a57301fd89c501202a312eafc0791ed17d0f5fb SHA1: efff3c014a808163de8aa857fe6d0dce996c4cea MD5sum: 017752b86258cec5bed16e523f30ec48 Description: Library to read/write EEG data file formats xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead of the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. Package: libxdffileio0-dbg Source: xdffileio Version: 0.3-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.3-1~nd70+1+nd90+1) Multi-Arch: same Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: debug Filename: pool/main/x/xdffileio/libxdffileio0-dbg_0.3-1~nd70+1+nd90+1_amd64.deb Size: 76392 SHA256: 769a0f3e6df6fe97c96e65ffecaeccc1eb67f8d763118d39c50bc0c23b53b320 SHA1: 0f54d83a2d852fbb13bf9fe09d96249bd41821b0 MD5sum: a7684d361aaeb30ef2eba125202cf0bb Description: Library to read/write EEG data file formats (debugging symbols) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package provides the debugging symbols of the library. Package: lua-cnrun Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 125 Depends: neurodebian-popularity-contest, libcnrun2, lua5.1 | lua5.2 Suggests: gnuplot Homepage: http://johnhommer.com/academic/code/cnrun Priority: optional Section: science Filename: pool/main/c/cnrun/lua-cnrun_2.1.0-1~nd90+1_amd64.deb Size: 42036 SHA256: a2cd78b411c44ce6460bededa45ca37878487e56cc98afb0e27c6d87c6ef8866 SHA1: 66cd23d1b5202873123bbe4e719076b20bdaa559 MD5sum: 8c3cfd50491abc8fb6d9bc75826c35f6 Description: NeuroML-capable neuronal network simulator (Lua package) CNrun is a neuronal network simulator, with these features: * a conductance- and rate-based Hodgkin-Huxley neurons, a Rall and Alpha-Beta synapses; * a 6-5 Runge-Kutta integration method: slow but precise, adjustable; * Poisson, Van der Pol, Colpitts oscillators and interface for external stimulation sources; * NeuroML network topology import/export; * logging state variables, spikes; * implemented as a Lua module, for scripting model behaviour (e.g., to enable plastic processes regulated by model state); * interaction (topology push/pull, async connections) with other cnrun models running elsewhere on a network, with interactions (planned). . Note that there is no `cnrun' executable, which existed in cnrun-1.*. Instead, you write a script for your simulation in Lua, and execute it as detailed in /usr/share/lua-cnrun/examples/example1.lua. Package: lua-cnrun-dbgsym Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 300 Depends: lua-cnrun (= 2.1.0-1~nd90+1) Homepage: http://johnhommer.com/academic/code/cnrun Priority: extra Section: debug Filename: pool/main/c/cnrun/lua-cnrun-dbgsym_2.1.0-1~nd90+1_amd64.deb Size: 274710 SHA256: cad492fba0839b7ca0467958be96424fd1a8ca4f053f0f0cfe3c4984d190ce71 SHA1: 704b06a9b123ca1bead1b5b35acf51247c7480df MD5sum: da0446c9978450656619b9c151c2de54 Description: Debug symbols for lua-cnrun Auto-Built-Package: debug-symbols Build-Ids: 9ebdda23826e0965364a9cc62f7bb9207dbc0762 Package: matlab-support-dev Source: matlab-support Version: 0.0.21~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 17 Depends: neurodebian-popularity-contest Conflicts: matlab-dev (<= 0.0.14~) Replaces: matlab-dev (<= 0.0.14~) Priority: optional Section: devel Filename: pool/main/m/matlab-support/matlab-support-dev_0.0.21~nd90+1_all.deb Size: 7514 SHA256: 70e460df62d8e62f429592dd9223cbc009adf3f0409340eb0345a1a3c730b037 SHA1: 1d4018d1abd28a97c88b67824194116e817c516b MD5sum: fd6d59f8278c996b8a4f2f245113ea76 Description: helpers for packages building MATLAB toolboxes This package provides a Makefile snippet (analogous to the one used for Octave) that configures the locations for architecture independent M-files, binary MEX-extensions, and their corresponding sources. This package can be used as a build-dependency by other packages shipping MATLAB toolboxes. Package: mia-tools Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8758 Depends: neurodebian-popularity-contest, libmia-2.0-8 (= 2.0.13-1~nd80+1+nd90+1), libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-serialization1.55.0, libboost-system1.55.0, libboost-test1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libglibmm-2.4-1c2a (>= 2.44.0), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libjpeg62-turbo (>= 1.3.1), libnlopt0 (>= 2.3), libopenexr6 (>= 1.6.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), libtbb2, libtiff5 (>= 4.0.3), libvistaio14 (>= 1.2.14), libvtk5.8, libxml++2.6-2 (>= 2.38.0) Recommends: mia-doc Homepage: http://mia.sourceforge.net Priority: optional Section: science Filename: pool/main/m/mia/mia-tools_2.0.13-1~nd80+1+nd90+1_amd64.deb Size: 1468616 SHA256: 18deb8bea66604e7b1e97cbb21facf45148d479521156798fd98775beec1a1c5 SHA1: 40a2d7d13f9888011c194021dac30c7d16556b9b MD5sum: ae520bc4e5d0c2163290ffc990475656 Description: Command line tools for gray scale image processing Command lines tools to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statiistics over images. Package: mia-tools-dbg Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 29400 Depends: neurodebian-popularity-contest, mia-tools (= 2.0.13-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mia/mia-tools-dbg_2.0.13-1~nd80+1+nd90+1_amd64.deb Size: 27005758 SHA256: 09872e516431a8e170c51ccc0b41f291e38ab31a5c26ce02fbd3eb566064019f SHA1: 902d234db10ed0ee375e8920c7c74c549b4766b9 MD5sum: 226597b297ae61e85897e5dd46c98bf4 Description: Debugging information for the MIA command line tools Debug information for the MIA command lines tools. These tools provide the means to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes from the command line. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statiistics over images. Package: mia-tools-doc Source: mia Version: 2.0.13-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1227 Depends: neurodebian-popularity-contest Enhances: mia-tools Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/m/mia/mia-tools-doc_2.0.13-1~nd80+1+nd90+1_all.deb Size: 78588 SHA256: b2e28ac06616de16419dca9ffe55d4cd31ce25627201cb084f64f13bdbfd9ccd SHA1: eabc90ca30982d35ac6e45697cd8f2670cdcbfd9 MD5sum: 39002ffe1546edf4a27c57fa26bf9c66 Description: Cross-referenced documentation of the MIA command line tools Cross referenced documentation of the command line tools and plug-ins that are provided by the MIA gray scale image processing tool chain. These lines tools to provide the means to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes interactively from the command line. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statistics over images. Package: mialmpick Version: 0.2.10-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 203 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1-mesa-glx | libgl1, libglade2-0 (>= 1:2.6.4-2~), libglib2.0-0 (>= 2.41.1), libglu1-mesa | libglu1, libgnomeui-0 (>= 2.22.0), libgtk2.0-0 (>= 2.20.0), libgtkglext1, libmialm3 (>= 1.0.7), libpng12-0 (>= 1.2.13-4), libpopt0 (>= 1.14), libvistaio14 (>= 1.2.14), libx11-6 Homepage: http://mia.sourceforge.net Priority: optional Section: science Filename: pool/main/m/mialmpick/mialmpick_0.2.10-1~nd80+1+nd90+1_amd64.deb Size: 69850 SHA256: 0f15b6e1e5bc550f061d295c47c6263e9c29d79281736349068731dbc3f782bc SHA1: a00f8ca62998177318ad1b4caf3bb063c64c4291 MD5sum: 3b781917446258d7f297bdb47857d031 Description: Tools for landmark picking in 3D volume data sets This tool provides a simple 3D renderer that can visualize surfaces directly from 3D volumes and can be used to set 3D landmarks. It is best suited for CT data sets. Package: mialmpick-dbg Source: mialmpick Version: 0.2.10-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 203 Depends: neurodebian-popularity-contest, mialmpick (= 0.2.10-1~nd80+1+nd90+1) Homepage: http://mia.sourceforge.net Priority: extra Section: debug Filename: pool/main/m/mialmpick/mialmpick-dbg_0.2.10-1~nd80+1+nd90+1_amd64.deb Size: 164496 SHA256: a67113fc014c1b4df90e2dcffa80932a90f71df763ed37a62c951a8add977dfc SHA1: 479facaf2e0ad1bf4347c6637fa31fdfbc56e730 MD5sum: 9a469c2648bff88f76aa2d4b3fc34b73 Description: Debug information landmark picking tool mialmpick This tool provides a simple 3D renderer that can visualize surfaces directly from 3D volumes and can be used to set 3D landmarks. It is best suited for CT data sets. This package provides the debug information. Package: mitools Source: odin Version: 1.8.8-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 8264 Depends: neurodebian-popularity-contest, libblitz0ldbl, libc6 (>= 2.14), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), liblapack3 | liblapack.so.3, libnifti2, libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.6.1), libqwt5-qt4, libstdc++6 (>= 4.9), libvtk5.8, zlib1g (>= 1:1.1.4), dcmtk Recommends: grace Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/mitools_1.8.8-1~nd80+1+nd90+1_amd64.deb Size: 2035308 SHA256: f08d52600a9d8c091d7b28f8e2f05895383d57913e1cd05a329c328c9d6b537c SHA1: c01f32713f4cc0afc1d4925d276250149ac2ad5b MD5sum: 7cedebabb868891a9503c4a500d33f72 Description: view, convert and perform basic maths with medical image datasets The three contained tools micalc, miconv and miview are handy command-line utilities for converting, manipulating and viewing medical image data in various formats (DICOM, NIfTI, PNG, binary data, ...). Package: mriconvert Version: 1:2.0.8-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5740 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), libwxbase3.0-0 (>= 3.0.2), libwxgtk3.0-0 (>= 3.0.2) Homepage: http://lcni.uoregon.edu/~jolinda/MRIConvert/ Priority: optional Section: science Filename: pool/main/m/mriconvert/mriconvert_2.0.8-1~nd90+1_amd64.deb Size: 847486 SHA256: c78eb31f472c6c640e723b7fdab1d4ae5db34a39e64f0bac63160f18c87c8008 SHA1: aa2ca5eb05a3b51d08f49d18b6dee0ef9333ae9b MD5sum: f9776df1380f82f1d14bda720b131346 Description: medical image file conversion utility MRIConvert is a medical image file conversion utility that converts DICOM files to NIfTI 1.1, Analyze 7.5, SPM99/Analyze, BrainVoyager, and MetaImage volume formats. Package: mricron Version: 0.20140804.1~dfsg.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 16493 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.2.5), libcairo2 (>= 1.2.4), libgdk-pixbuf2.0-0 (>= 2.22.0), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.24.0), libpango-1.0-0 (>= 1.14.0), libx11-6, mricron-data Recommends: pigz Suggests: mricron-doc, fsl Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron_0.20140804.1~dfsg.1-1~nd80+1+nd90+1_amd64.deb Size: 2247616 SHA256: b30c3a09d9fbb869cb520539c8220905864d7580d6338068c233230ffa4b93c0 SHA1: ef5966a89c5e94c0b2433d4f404f236ed0fd4fa4 MD5sum: b8a640525c643cac136aa60277ae8a4f Description: magnetic resonance image conversion, viewing and analysis This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . In addition to 'mricron', this package also provides 'dcm2nii' that supports converting DICOM and PAR/REC images into the NIfTI format, and 'npm' for non-parametric data analysis. Package: mricron-data Source: mricron Version: 0.20140804.1~dfsg.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1696 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron-data_0.20140804.1~dfsg.1-1~nd80+1+nd90+1_all.deb Size: 1661008 SHA256: c72c5a52aa36f95b969d40b6696b3fd6825e56f2b4c747c8c7583fee75f818a3 SHA1: f7adfccd1977f34cb146ba91f62f47348c91d8ce MD5sum: ac38c72fa2c712209849a6c07d7e7997 Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides data files for MRIcron, such as brain atlases, anatomy, and color schemes. Package: mricron-doc Source: mricron Version: 0.20140804.1~dfsg.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1024 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: doc Filename: pool/main/m/mricron/mricron-doc_0.20140804.1~dfsg.1-1~nd80+1+nd90+1_all.deb Size: 579888 SHA256: eed56b4447c212858640a3e24d776b3404f9d3b81d732faa0dcbeab494a9e1f7 SHA1: ad06900073ad2fff7af240ab1c812298c638efc1 MD5sum: 4b028808fdef22505256fe03fbb307ac Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides documentation for MRIcron in HTML format. Package: mridefacer Version: 0.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 647 Depends: neurodebian-popularity-contest, num-utils, fsl-5.0-core | fsl-core Homepage: https://github.com/hanke/mridefacer Priority: optional Section: science Filename: pool/main/m/mridefacer/mridefacer_0.2-1~nd90+1_all.deb Size: 637220 SHA256: 0d5addda07d70430be617c8b61491f817ad1c7e8c3189743681bc15cdc0adac2 SHA1: c8108080ee235aac28d8afbd4159f6ec321734b1 MD5sum: 20bc4e3c97f38a244f261a54478fa483 Description: de-identification of MRI data This tool creates a de-face mask for volumetric images by aligning a template mask to the input. Such a mask can be used to remove image data from the vicinity of the facial surface, the auricles, and teeth in order to prevent a possible identification of a person based on these features. mrideface can process individual or series of images. In the latter case, the computed transformation between template image and input image will be updated incrementally for the next image in the series. This feature is most suitable for processing images that have been recorded in temporal succession. Package: mrtrix Version: 0.2.12-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 9217 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libatkmm-1.6-1 (>= 2.22.1), libc6 (>= 2.14), libcairo2 (>= 1.2.4), libcairomm-1.0-1 (>= 1.6.4), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.16.0), libglibmm-2.4-1c2a (>= 2.44.0), libglu1-mesa | libglu1, libgsl0ldbl (>= 1.9), libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1c2a (>= 1:2.24.0), libice6 (>= 1:1.0.0), libpango-1.0-0 (>= 1.14.0), libpangocairo-1.0-0 (>= 1.14.0), libpangoft2-1.0-0 (>= 1.14.0), libpangomm-1.4-1 (>= 2.36.0), libpangox-1.0-0 (>= 0.0.2), libsigc++-2.0-0c2a (>= 2.2.0), libsm6, libstdc++6 (>= 4.6), libx11-6, libxmu6, libxt6, zlib1g (>= 1:1.1.4) Suggests: mrtrix-doc, octave, matlab-support Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: science Filename: pool/main/m/mrtrix/mrtrix_0.2.12-1~nd80+1+nd90+1_amd64.deb Size: 1345296 SHA256: 4004a8ff98189c68c0fe08b140d9c96ff25df6af76458193e11f7a69e9662544 SHA1: 4202b96187326498412383e437b4875a83b3af75 MD5sum: a52c69f4c26ef65fb2d794d63391256e Description: diffusion-weighted MRI white matter tractography Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. Package: mrtrix-doc Source: mrtrix Version: 0.2.12-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 3542 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.12-1~nd80+1+nd90+1_all.deb Size: 3198612 SHA256: c4759ba0583f737edb2e578bfce4f4243f46325d84ae08ac123fa2cb32858f1c SHA1: 5418da876c4b3fbd5f96f5fe3a670828a46683b8 MD5sum: 53aca395bed6599b118a7115d696cd3b Description: documentation for mrtrix Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: mwrap Version: 0.33-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 302 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Recommends: octave Homepage: http://www.cims.nyu.edu/~dbindel/mwrap/ Priority: extra Section: devel Filename: pool/main/m/mwrap/mwrap_0.33-1~nd70+1+nd90+1_amd64.deb Size: 213764 SHA256: 33cd7388cb0c1fc8570c6d96c14549ff51a72b0ff9ccf64e8d75146149328682 SHA1: 25623600886b3aba2c6ece99288757e1aa141b67 MD5sum: 8e6af744e4aa91254cbdff3e645f81ee Description: Octave/MATLAB mex generator MWrap is an interface generation system in the spirit of SWIG or matwrap. From a set of augmented Octave/MATLAB script files, MWrap will generate a MEX gateway to desired C/C++ function calls and Octave/MATLAB function files to access that gateway. The details of converting to and from Octave/MATLAB's data structures, and of allocating and freeing temporary storage, are hidden from the user. Package: netselect Version: 0.3.ds1-25~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), debconf (>= 0.5) | debconf-2.0 Suggests: netselect-apt Homepage: http://github.com/apenwarr/netselect Priority: optional Section: net Filename: pool/main/n/netselect/netselect_0.3.ds1-25~nd80+1+nd90+1_amd64.deb Size: 30794 SHA256: 94a2eb14d0d783f0e4f3aa83e875f6190d8328204efcdddf4c856d2d774efab3 SHA1: 3cb731a327787034c16c98b13dc8198c11ba3e10 MD5sum: 240c2d3b3c182575bddcf603a2fc56d8 Description: speed tester for choosing a fast network server This package provides a utility that can perform parallelized tests on distant servers using either UDP traceroutes or ICMP queries. . It can process a (possibly very long) list of servers, and choose the fastest/closest one automatically. Package: netselect-apt Source: netselect Version: 0.3.ds1-25~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 Depends: neurodebian-popularity-contest, wget, netselect (>= 0.3.ds1-17) Recommends: curl Suggests: dpkg-dev Enhances: apt Homepage: http://github.com/apenwarr/netselect Priority: optional Section: net Filename: pool/main/n/netselect/netselect-apt_0.3.ds1-25~nd80+1+nd90+1_all.deb Size: 16768 SHA256: 0855800d052bec8451592fc24b243e211b528f2f09f4638271b33344b4f75fd6 SHA1: 009fe8913a3e0df14c68d36bc8cbfbc3bdb718a2 MD5sum: 364fd6a7cc867d537b4c2d9bce6860ed Description: speed tester for choosing a fast Debian mirror This package provides a utility that can choose the best Debian mirror by downloading the full mirror list and using netselect to find the fastest/closest one. . It can output a sources.list(5) file that can be used with package management tools such as apt or aptitude. Package: neurodebian Version: 0.37.5~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 91 Depends: python, 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_0.37.5~nd90+1_all.deb Size: 34568 SHA256: 83aed7e8cbf8d711cd5e2c3dadd939ebab7407ee05d55d34a9bfe77ff2c405b4 SHA1: 884fcdeb3489ef2843683c9baf99686f9a127179 MD5sum: c13c80829e96db8a358d2098fb389999 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: 0.37.5~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 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_0.37.5~nd90+1_all.deb Size: 10368 SHA256: f4437b65cd67ea7e8e596cf5acbe212f35d5cb0f8cbb19488ffc3f0ccef1e22e SHA1: a8784de9924fa5b63f4fe70e35cf631eda74e6cd MD5sum: c6c3b4717160ce47f79b9fbbc10a99f8 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: 0.37.5~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 189 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_0.37.5~nd90+1_all.deb Size: 116344 SHA256: a11cc9627ecb196c2af0aa13fdd196441855069108bb8d11d6da092ed2dc2df0 SHA1: 1471196e9f06c3ab04427908a97272b2772972b0 MD5sum: d82e5b20383ef75885c3c212fb18317d 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: 0.37.5~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 Depends: devscripts, neurodebian-archive-keyring Recommends: python, zerofree, moreutils, time, ubuntu-keyring, debian-archive-keyring, apt-utils, cowbuilder Suggests: virtualbox-ose, virtualbox-ose-fuse Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.37.5~nd90+1_all.deb Size: 32800 SHA256: 61359c80d672ba13276a48844fcef24b07360131e84711af4e76082855255895 SHA1: 4ddcf96e419e50ac1218d8dc33b95c4f880256a5 MD5sum: 7e54597485c17cdf49921cc76fb636a2 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-guest-additions Source: neurodebian Version: 0.37.5~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: virtualbox-guest-utils, virtualbox-guest-x11, virtualbox-guest-dkms, sudo, neurodebian-desktop, lightdm | x-display-manager, zenity Recommends: chromium, update-notifier Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-guest-additions_0.37.5~nd90+1_all.deb Size: 16952 SHA256: d233364fe7aa105998e8889f11ac329bd97df92388953ae0b02a4b3fd9dc40fd SHA1: c421f577e843186cbc944059eb9bf92742ca22e1 MD5sum: f50b634636d463fdd31ae382fd6f5485 Description: NeuroDebian guest additions (DO NOT INSTALL OUTSIDE VIRTUALBOX) This package configures a Debian installation as a guest operating system in a VirtualBox-based virtual machine for NeuroDebian. . DO NOT install this package unless you know what you are doing! For example, installation of this package relaxes several security mechanisms. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.37.5~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.37.5~nd90+1_all.deb Size: 12390 SHA256: e1a0b1e064b882d032da68ef4fb5f756580ac0e7f10f6191a86b087e9adecbaa SHA1: 6d91d3cd8e0f4f1fae4024ab8c01a9a45a741992 MD5sum: 3dcffa9c3643af569eb5e66755b4704f 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: nifti-bin Source: nifticlib Version: 2.0.0-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 154 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libnifti2 Homepage: http://niftilib.sourceforge.net Priority: optional Section: utils Filename: pool/main/n/nifticlib/nifti-bin_2.0.0-2~nd80+1+nd90+1_amd64.deb Size: 55396 SHA256: a49649ccbad9197fb3ecb2745449140838201217ab45c5c783399577a431e731 SHA1: 15c160025b2e6adeae03e35f4e64c53a547d43e3 MD5sum: 6e2aa35c3facf71df57b6630935481e5 Description: tools shipped with the NIfTI library Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the tools that are shipped with the library (nifti_tool, nifti_stats and nifti1_test). Package: nifti2dicom Version: 0.4.9-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2458 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.6, libstdc++6 (>= 4.9), nifti2dicom-data (= 0.4.9-1~nd80+1+nd90+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom_0.4.9-1~nd80+1+nd90+1_amd64.deb Size: 363680 SHA256: 27accaea41123ae8af24fbfc0c8e9e53fde90642daf0783e190710471fdbb159 SHA1: 57cd070cd32490e3d3bddbcc50be947e2b74b932 MD5sum: 9d2a04558de6e42d8f3c362cb82bddbf Description: convert 3D medical images to DICOM 2D series Nifti2Dicom is a convertion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS. . This package includes the command line tools. Package: nifti2dicom-data Source: nifti2dicom Version: 0.4.9-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 643 Depends: neurodebian-popularity-contest Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/nifti2dicom-data_0.4.9-1~nd80+1+nd90+1_all.deb Size: 615920 SHA256: 25fdd19e2a1d27cd7e03c17dc874ec0bf5bfe53862d0edd400da96b9649362e1 SHA1: b63957274fc4d210c1a0b12766144d56a78752d5 MD5sum: 56bd9fd876a7a3458bccdcac9a1bc456 Description: data files for nifti2dicom This package contains architecture-independent supporting data files required for use with nifti2dicom, such as such as documentation, icons, and translations. Package: nuitka Version: 0.5.29.4+ds-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6842 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_0.5.29.4+ds-1~nd90+1_all.deb Size: 732548 SHA256: fc9cc73ab85c70f17df73949210f333353e2512b0171553b4692aa8b33987364 SHA1: 9bd14535651153e5365ed41e614dba91aa29f8a2 MD5sum: 4158c104400b905755addf26c41bda67 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: numdiff Version: 5.9.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 928 Depends: neurodebian-popularity-contest, libc6 (>= 2.17), dpkg (>= 1.15.4) | install-info Homepage: http://nongnu.org/numdiff/ Priority: extra Section: science Filename: pool/main/n/numdiff/numdiff_5.9.0-1~nd90+1_amd64.deb Size: 602346 SHA256: a261ea3af6c9370c77a1a4d6166c2972b341d6e89fdd02693d73a84dcc55edf5 SHA1: cb99d1d35daee8c9a6a53350f1a48e97e360de57 MD5sum: 26d8fd0b724282404a898a102a298ed2 Description: Compare similar files with numeric fields Numdiff is a console application that can be used to compare putatively similar files line by line and field by field, ignoring small numeric differences or/and different numeric formats. It is similar diff or wdiff, but it is aware of floating point numbers including complex and multi-precision numbers. Numdiff is useful to compare text files containing numerical fields, when testing or doing quality control in scientific computing or in numerical analysis. Package: numdiff-dbgsym Source: numdiff Version: 5.9.0-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 95 Depends: numdiff (= 5.9.0-1~nd90+1) Homepage: http://nongnu.org/numdiff/ Priority: extra Section: debug Filename: pool/main/n/numdiff/numdiff-dbgsym_5.9.0-1~nd90+1_amd64.deb Size: 63764 SHA256: 58d1aabac10ba9513bd927aee0c6bbedd9269cd7993a400c9b92820407bf6470 SHA1: 6d2f31e8e5835c94e340e406c4fba13e6cc08ff6 MD5sum: 09625a4c32999940685ebe6202bf0d99 Description: Debug symbols for numdiff Build-Ids: 39e2a9bf5f9879c94ff79051f92c9c01b1645840 3de1ded9a28d7a3cdcc56606efeb5bbcb12c999e Package: obs-plugins Source: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3037 Depends: neurodebian-popularity-contest, libasound2 (>= 1.0.16), libavcodec57 (>= 7:3.2.9) | libavcodec-extra57 (>= 7:3.2.9), libavdevice57 (>= 7:3.2.9), libavformat57 (>= 7:3.2.9), libavutil55 (>= 7:3.2.9), libc6 (>= 2.15), libcurl3-gnutls (>= 7.16.2), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libjack-jackd2-0 (>= 1.9.10+20150825) | libjack-0.125, libjansson4 (>= 2.0.1), libobs0 (= 21.0.2+dfsg1-1~nd90+1), libpulse0 (>= 0.99.1), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.2.0~alpha1), libqt5widgets5 (>= 5.2.0~alpha1), libspeexdsp1 (>= 1.2~beta3.2-1), libstdc++6 (>= 6), libswscale4 (>= 7:3.2.9), libudev1 (>= 183), libv4l-0 (>= 0.5.0), libx11-6, libx264-148, libxcb-shm0, libxcb-xfixes0, libxcb-xinerama0, libxcb1, libxcomposite1 (>= 1:0.3-1), libxfixes3 Recommends: vlc Multi-Arch: same Homepage: https://obsproject.com Priority: optional Section: video Filename: pool/main/o/obs-studio/obs-plugins_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 1396376 SHA256: 6ec830e1b13d2ca21e330b3406b3eb018ff11c4a644f03c3fa0d96342c91b146 SHA1: d293ddf8610288cd284b6a455f06a1c24d82c4da MD5sum: d4d4886e3c6fb7b193e5c213d2e5aebe Description: recorder and streamer for live video content (plugins) OBS is designed for efficiently recording and streaming live video content. It supports live RTP streaming to various streaming sites. . This package contains the plugins. Package: obs-plugins-dbgsym Source: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2640 Depends: obs-plugins (= 21.0.2+dfsg1-1~nd90+1) Multi-Arch: same Homepage: https://obsproject.com Priority: extra Section: debug Filename: pool/main/o/obs-studio/obs-plugins-dbgsym_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 2393458 SHA256: 1493510ef36b5818e826af54dc08cf479374298f3b471b38fe45b52edd1d5533 SHA1: 3e595f87f47cc3c753948f384bf6cc4f850e3e62 MD5sum: 9b907d33349dd30b97f3ce5635bf53cc Description: Debug symbols for obs-plugins Build-Ids: 1bb12450bb0cab6c162f08b2da70db3947542114 3808aad4d6e5b1b496c2d4c0ba8b318c0c1f3fcc 4bf9aa82cfd85276015c62b95e2a446bc640c551 595d6d6ccb7d7a6594c7dd815c29707d969d0dce 6c791406c9dd81af8afa9b078e3e35e9decb971e 784f57f1d97a64bc14440b6ab84fc7504d46843b 7fbd0642e778ff010eed0d5759c6acf1e003b825 837e15ebf0157ceb09c2bc596d7e10550fb7e1aa 8986f2859783160898e9fb2436a2fcd913d307be a65bd727a791edd729d14e1c22f5ace3d8c8e526 afee251172a665ab5dc7abfbc39a4665acfa303a b4c3a9883b8fca09f36cf3119ec71858c70b3048 bb2b1f01ca6ba78ffcb1c284e219c73c023194aa bc4c0da0a14b0be7a47c79ad864d4d4943916da9 e576f48c97304be46fedc07681cef37e5dd37155 e60defdf6dd3d3b5bd1da33fc970fafb4f5a5fb9 fd7f171e3d7b23905081166e75fc9318647d3d5f Package: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3621 Depends: neurodebian-popularity-contest, obs-plugins (= 21.0.2+dfsg1-1~nd90+1), libavcodec57 (>= 7:3.2.9) | libavcodec-extra57 (>= 7:3.2.9), libavformat57 (>= 7:3.2.9), libavutil55 (>= 7:3.2.9), libc6 (>= 2.14), libcurl3-gnutls (>= 7.16.2), libgcc1 (>= 1:3.0), libobs0 (= 21.0.2+dfsg1-1~nd90+1), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.3.0), libqt5widgets5 (>= 5.7.0), libqt5x11extras5 (>= 5.6.0), libstdc++6 (>= 6) Homepage: https://obsproject.com Priority: optional Section: video Filename: pool/main/o/obs-studio/obs-studio_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 872458 SHA256: d527a9152f9f622718cba3275256774262c7c75fa2b79fea10bbcab0f9959b2e SHA1: 54c269cf1a59c55092bff072a7925a66b0ce1b2e MD5sum: 41a4a5931047475a600716cb1aea05c7 Description: recorder and streamer for live video content OBS Studio is designed for efficiently recording and streaming live video content. It supports live RTP streaming to various streaming sites. . Other features include: * Encoding using H264 (x264) and AAC * Unlimited number of scenes and sources * File output to MP4 or FLV * GPU-based game capture for high performance game streaming * Bilinear or lanczos3 resampling . Note that OBS Studio requires an OpenGL 3.2 compatible video card. Package: obs-studio-dbgsym Source: obs-studio Version: 21.0.2+dfsg1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 8106 Depends: obs-studio (= 21.0.2+dfsg1-1~nd90+1) Homepage: https://obsproject.com Priority: extra Section: debug Filename: pool/main/o/obs-studio/obs-studio-dbgsym_21.0.2+dfsg1-1~nd90+1_amd64.deb Size: 7912694 SHA256: b0af9838993ab786cc4e54bef32d526f80710291013b82ff68e4e62b841719cb SHA1: 9d5e83a3b9f49cfa4d5b5cbf1bf41ab36e24f2c4 MD5sum: 3ad74193e904567a52fe18394b8f1e57 Description: Debug symbols for obs-studio Build-Ids: 72a27adf707565f8b7edb1e505a128167d6ccd20 Package: octave-biosig Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libbiosig1, libc6 (>= 2.4), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), liboctave2, libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/octave-biosig_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 19876 SHA256: cebf57f465d5b7567477ad5348a4eec2c4e5b20108ae5f52b3c34b0a4c680404 SHA1: 3364ad4bd7ebf29c94ad9029626a779a7e60be6b MD5sum: 2ccd99945ba3668d1e26da5fdc15e8c8 Description: Octave bindings for BioSig library This package provides Octave bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: octave-gdf Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 349 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgdf0, liboctave2, libstdc++6 (>= 4.9) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.2-2~nd70+1+nd90+1_amd64.deb Size: 89814 SHA256: f73755359dda185d22f7e0425fbb3dbbbe4f37afaa8e891cf7f68eb16ba2e138 SHA1: 577320c6a82c0b561e760e27d2fae474dce4ec4e MD5sum: 58f9eedb8d4027c1477746a47e1eee61 Description: IO library for the GDF -- Octave interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides Octave bindings for libgdf. Package: octave-nlopt Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 164 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), liboctave2, libstdc++6 (>= 4.1.1) Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: math Filename: pool/main/n/nlopt/octave-nlopt_2.4.1+dfsg-1~nd80+1+nd90+1_amd64.deb Size: 33612 SHA256: 1f1c2e64fb170da1626f52a46bf45a1d94fb7f176bf1cf629f15408482ab2d0d SHA1: cfb9bb590d0ae762a871e57fe486ef7a806aa37e MD5sum: b5851e54dc923fb3d98982eaa49a3231 Description: nonlinear optimization library -- GNU Octave package NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the module for the GNU Octave. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.14.20171008.dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4501 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.14), libdc1394-22, libfreenect0.5 (>= 1:0.1.1), libgcc1 (>= 1:3.0), libgl1-mesa-glx | 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 (>= 1.4.0), liboctave3v5, 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 (>= 2:1.2.99.3), libxxf86vm1, psychtoolbox-3-common (= 3.0.14.20171008.dfsg1-1~nd90+1), psychtoolbox-3-lib (= 3.0.14.20171008.dfsg1-1~nd90+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_3.0.14.20171008.dfsg1-1~nd90+1_amd64.deb Size: 891756 SHA256: 7df745b1bd86cd9ed209e126da236588d329b74f78981307c5918f8e01cbdf7d SHA1: 0134d1958955480ca7d6c19bf5b0faff8b57576c MD5sum: f8fa4ed9b4c8a551f63673406921a26a 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: odin Version: 1.8.8-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 4436 Depends: neurodebian-popularity-contest, libblitz0ldbl, libc6 (>= 2.14), libdcmtk2 (>= 3.6.0), libgcc1 (>= 1:4.1.1), liblapack3 | liblapack.so.3, libnifti2, libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.6), libvtk5.8, mitools (= 1.8.8-1~nd80+1+nd90+1), zlib1g (>= 1:1.1.4), libodin-dev, libgsl0-dev, libc6-dev | libc-dev, g++, libblas-dev | libatlas-base-dev, xterm | x-terminal-emulator, gdb Recommends: liboil0.3-dev | liboil-dev, libdcmtk1-dev Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/odin_1.8.8-1~nd80+1+nd90+1_amd64.deb Size: 1279254 SHA256: 01da968248ded6714d7de38b99d13d4de7aad4c473328e768a662b2f14ab691d SHA1: 2f68317854bb53c320056b32a62132921c27f9af MD5sum: bc75864a376002de6911c94897264655 Description: develop, simulate and run magnetic resonance sequences ODIN is a framework for magnetic resonance imaging (MRI). It covers the whole toolchain of MRI, from low-level data acquisition to image reconstruction. In particular, it aims at rapid prototyping of MRI sequences. The sequences can be programmed using a high-level, object oriented, C++ programming interface. It provides advanced sequence analysis tools, such as interactive plotting of k-space trajectories, a user interface for a fast compile-link-test cycle and a powerful MRI simulator which supports different virtual samples. For fast and flexible image reconstruction, ODIN contains a highly customizable, multi-threaded data-processing framework. Package: openstack-pkg-tools Version: 52~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 191 Depends: neurodebian-popularity-contest, autopkgtest, libxml-xpath-perl, madison-lite, pristine-tar Priority: extra Section: devel Filename: pool/main/o/openstack-pkg-tools/openstack-pkg-tools_52~nd90+1_all.deb Size: 52248 SHA256: 538efb7329f62d94c695cbd2bfb296e57bc95465abb5aff95c830b4498bddf62 SHA1: c375dfac7f95f0e0ae8a0120de080d949e60343b MD5sum: 5a22f51680fb22850416c72fb2c0fcd2 Description: Tools and scripts for building Openstack packages in Debian This package contains some useful shell scripts and helpers for building the Openstack packages in Debian, including: . * shared code for maintainer scripts (.config, .postinst, ...). * init script templates to automatically generate init scripts for sysv-rc, systemd and upstart. * tools to build backports using sbuild and/or Jenkins based on gbp workflow. * utility to maintain git packaging (to be included in a debian/rules). . Even if this package is maintained in order to build OpenStack packages, it is of a general purpose, and it can be used for building any package. Package: openwalnut-modules Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 22134 Depends: neurodebian-popularity-contest, libbiosig1, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libnifti2, libopenscenegraph100, libopenwalnut1, libstdc++6 (>= 4.9) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-modules_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_amd64.deb Size: 3620104 SHA256: 1ffd3ad5e8d7c0c14f8e60fc671d4e0c3a4835bff70b9aeed6b2f6dd8ca38d4f SHA1: 0677edb93115f5bad04af628e22b1e8577279b7e MD5sum: 6e1813b16f8f191b2e70548363f91ced Description: Loaders, algorithms and visualization modules for OpenWalnut OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the currently available modules for OpenWalnut. Package: openwalnut-qt4 Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2156 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-program-options1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libopenscenegraph100, libopenwalnut1, libqt4-opengl (>= 4:4.6.0), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.8.0), libqtwebkit4 (>= 2.1.0~2011week13), libstdc++6 (>= 4.9), libx11-6 Recommends: openwalnut-modules (= 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-qt4_1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1_amd64.deb Size: 756524 SHA256: 887b06586e8885a7df4921264bc45fae389b12c4cbe4b0ff173b3edf6c9e2be4 SHA1: b8f66130ad8f2dd4d3905eeddf31b36e0cd62fe3 MD5sum: 9f6f23646dd65110ee902ce97efc7c97 Description: Qt based user interface for OpenWalnut OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the QT4 GUI for OpenWalnut. Package: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 862 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5) Suggests: p7zip-full Homepage: http://p7zip.sourceforge.net/ Priority: optional Section: utils Filename: pool/main/p/p7zip/p7zip_16.02+dfsg-1~nd90+1_amd64.deb Size: 350448 SHA256: 4d3845ac80a3ecb9519340c637b2591cb0493ebd2ebb060d576561d2b3eda123 SHA1: d5de734662947d1fee101a7cdf0d5655b04892aa MD5sum: 25629f0ddb23560603ab55b82bbf3c5c Description: 7zr file archiver with high compression ratio p7zip is the Unix command-line port of 7-Zip, a file archiver that handles the 7z format which features very high compression ratios. . p7zip provides: - /usr/bin/7zr a standalone minimal version of the 7-zip tool that only handles 7z, LZMA and XZ archives. 7z compression is 30-50% better than ZIP compression. - /usr/bin/p7zip a gzip-like wrapper around 7zr. . p7zip can be used with popular compression interfaces (such as File Roller or Nautilus). . Another package, p7zip-full, provides 7z and 7za which support more compression formats. Package: p7zip-dbgsym Source: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2491 Depends: p7zip (= 16.02+dfsg-1~nd90+1) Homepage: http://p7zip.sourceforge.net/ Priority: extra Section: debug Filename: pool/main/p/p7zip/p7zip-dbgsym_16.02+dfsg-1~nd90+1_amd64.deb Size: 2347974 SHA256: 597dbf73b8474dc04780a51d4504a45c6296c009f82f5ed6649fb22fabde3b42 SHA1: 62ceac30b6000e205c39ac3927b8af7090412a4b MD5sum: 0923ede661ee1e7cd491d400f1089548 Description: Debug symbols for p7zip Auto-Built-Package: debug-symbols Build-Ids: feb14b86def97b67242495e84c092534da8677fc Package: p7zip-full Source: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 4215 Pre-Depends: dpkg (>= 1.17.13) Depends: neurodebian-popularity-contest, p7zip (= 16.02+dfsg-1~nd90+1), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5) Suggests: p7zip-rar Breaks: p7zip (<< 15.09+dfsg-3~) Replaces: p7zip (<< 15.09+dfsg-3~) Homepage: http://p7zip.sourceforge.net/ Priority: optional Section: utils Filename: pool/main/p/p7zip/p7zip-full_16.02+dfsg-1~nd90+1_amd64.deb Size: 1161202 SHA256: 6ddef42c60bb0ec19fd6a7a10342413fed508f7098baf41143bc5c7f08c4891f SHA1: 8bd2aef2b702e2ead2cdbc5bb8ec35bd30406aa1 MD5sum: c212134c52688d8ef79395bd1680e139 Description: 7z and 7za file archivers with high compression ratio p7zip is the Unix command-line port of 7-Zip, a file archiver that handles the 7z format which features very high compression ratios. . p7zip-full provides utilities to pack and unpack 7z archives within a shell or using a GUI (such as Ark, File Roller or Nautilus). . Installing p7zip-full allows File Roller to use the very efficient 7z compression format for packing and unpacking files and directories. Additionally, it provides the 7z and 7za commands. . List of supported formats: - Packing / unpacking: 7z, ZIP, GZIP, BZIP2, XZ and TAR - Unpacking only: APM, ARJ, CAB, CHM, CPIO, CramFS, DEB, DMG, FAT, HFS, ISO, LZH, LZMA, LZMA2, MBR, MSI, MSLZ, NSIS, NTFS, RAR (only if non-free p7zip-rar package is installed), RPM, SquashFS, UDF, VHD, WIM, XAR and Z. . The dependent package, p7zip, provides 7zr, a light version of 7za, and p7zip, a gzip-like wrapper around 7zr. Package: p7zip-full-dbgsym Source: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 11420 Depends: p7zip-full (= 16.02+dfsg-1~nd90+1) Homepage: http://p7zip.sourceforge.net/ Priority: extra Section: debug Filename: pool/main/p/p7zip/p7zip-full-dbgsym_16.02+dfsg-1~nd90+1_amd64.deb Size: 10776594 SHA256: 1027d935788ee1c91a8d4ba9800a81d4ed4c0fcb17725a66acd0840a89e92c62 SHA1: ffb3f6bf9fd9d305a9f6bf3a98c8c3726233ecaa MD5sum: b7a195b2b6514ece73c8c92e0022aab9 Description: Debug symbols for p7zip-full Auto-Built-Package: debug-symbols Build-Ids: 2337e4829cc819845a7a121da3d1707a074e3505 2facdea81bfce370aeff89e01dca959f4698d994 7f0657ea16762c930a9420680df9935cdd4314eb 9bc856a037990d0b608ca6353bc7fe340c3cfa11 Package: prov-tools Source: python-prov Version: 1.5.0-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-prov (= 1.5.0-1+nd1~nd90+1) Homepage: https://github.com/trungdong/prov Priority: optional Section: utils Filename: pool/main/p/python-prov/prov-tools_1.5.0-1+nd1~nd90+1_all.deb Size: 6938 SHA256: 35ce4b0407e0dc18cadf1dc84bb1090428eef0dc8e9d81c39e1e48fe29ec187c SHA1: fa934f8e5fb0387c8d1e7c1dddd86230756bfe79 MD5sum: 892291b0c84d035bc4274d6bf9a910dc Description: tools for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the command-line tools for the prov library. Package: psychopy Version: 1.85.3.dfsg-1~nd90+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~nd90+1_all.deb Size: 6666798 SHA256: 7454ce687aad9b4e07c0238f73853ff8f633fcf4309c6a1a566fd0acbb756876 SHA1: f409acfbfbb2cf2b861da56c0e09e93577889536 MD5sum: d7f3b1574f3ef40dbdbcaaeb85fae345 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: 3.0.14.20171008.dfsg1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254245 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_3.0.14.20171008.dfsg1-1~nd90+1_all.deb Size: 24214896 SHA256: bb2ad426db95d8a8da855e56a46dec3313ffa788ee1cbab17d82a1978dc858eb SHA1: 836eb21e753b9ab51a1cf3a6206b2933ea5f9bb9 MD5sum: d4ff5d9b4d7654926433590c5b906965 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: 3.0.14.20171008.dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 18686 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.14.20171008.dfsg1-1~nd90+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.14.20171008.dfsg1-1~nd90+1_amd64.deb Size: 1266296 SHA256: dde33abd6e33a4eb80ac12ac2c2238bf1204c782f3a5386be08fc89bbccb41c8 SHA1: e2e2a93b29ecbbd3410342e68e85143fbc4043a2 MD5sum: 3652655d70e3aa0457dc3e02bd8da469 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: 3.0.14.20171008.dfsg1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 190 Depends: neurodebian-popularity-contest, libc6 (>= 2.2.5), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1-mesa-glx | 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_3.0.14.20171008.dfsg1-1~nd90+1_amd64.deb Size: 73158 SHA256: a96327e6125c042883a725f127a34dc5cfeeb39021604c781722bc98cd4d23b4 SHA1: 31084856bd3cd2d350522fe7652299bbcc9e4b04 MD5sum: c31f467d76faf63b9395368c3edc0a97 Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: pypy-hypothesis Source: python-hypothesis Version: 3.6.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, pypy-enum34, pypy Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/pypy-hypothesis_3.6.0-1~nd90+1_all.deb Size: 95374 SHA256: ee203936ed195763827d1cc9077ed1b7e7acf0909a440f9604a7f322a9dd8bf4 SHA1: 45832805b45fbd5a7d85ecc80af9a9ef7cffdf9c MD5sum: 64c8752be18a78ca2ee5d88917d0d4fd Description: advanced Quickcheck style testing library for PyPy Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the PyPy module. Package: pypy-json-tricks Source: json-tricks Version: 3.11.0-1~nd90+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~nd90+1_all.deb Size: 18928 SHA256: f2f1b45838e07d3f02935fbeb1b874f78be29d1360d1efacd919e4b6bf6c6505 SHA1: 9488abb0b3f1d5fb46881db283baf37114f826ee MD5sum: 07b60f2a22a6dedd482d00bef5b061b4 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-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, pypy Suggests: pypy-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/pypy-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 112014 SHA256: a5f5d3af25cd067c7ca0980197b468608db58fc66c21d4060a5a499d31d875cc SHA1: 62b064f20bdb52343bfe0e52ebe0025714666e0f MD5sum: 53c459981770a47c2572cd36446996cf Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: pypy-py Source: python-py Version: 1.4.31-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, pypy, pypy-pkg-resources Suggests: subversion, pypy-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/pypy-py_1.4.31-2~nd90+1_all.deb Size: 82240 SHA256: 2a04dea59f4a2e1e22f183eb552127733212d977210c64361cd13a6b2cee3c4f SHA1: ef88d35bd689227bd9a441612668d00bea6cd86b MD5sum: dae2e5593b4cb52bac5e901d432dc993 Description: Advanced Python development support library (PyPy) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the PyPy 2 modules. Package: pypy-pytest Source: pytest Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 644 Depends: neurodebian-popularity-contest, pypy-pkg-resources, pypy-py (>= 1.4.29), pypy Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/pypy-pytest_3.0.4-1~nd90+1_all.deb Size: 180980 SHA256: 73bcd2a5712fd2a73c870628e6cc05840d99092603ad7eb99b4db5d129ad3e41 SHA1: 0807b543982f57ce8134b9c40e34bf1de0eb2423 MD5sum: a81145b7a98f71029d0ab95b602788d4 Description: Simple, powerful testing in PyPy This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the PyPy module and the py.test-pypy script. Package: pypy-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, pypy-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1), pypy Suggests: python-setuptools-doc Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/pypy-setuptools_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 121864 SHA256: a870a5820f95fb19bd77ea8ade8ec02f8fe2468ad1992872b5f86fbd0b7918cc SHA1: 25e39eb583ed85d1e0491293359b01044adb2a49 MD5sum: 58359f2e1a13b28c4b3511d016f1a79c Description: PyPy Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: pypy-six Source: six Version: 1.10.0-3~bpo8+1~nd90+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~nd90+1_all.deb Size: 14646 SHA256: c4507f968a7dca4642f8d455b06e7969e8bd9aaefca243275c1c7d1a2e46bd42 SHA1: 027e0e9feca249c26389d81f3dca423df209d042 MD5sum: eb331296c7ac50330fb33c3f129640e9 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-argcomplete Version: 1.0.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python-argcomplete_1.0.0-1~nd90+1_all.deb Size: 25860 SHA256: 9770b9ab43c4c2d9278efb849353440e401bd6597a145741a41ddb0a7b28ee2b SHA1: 7902f84d52f282728cea4a6593ce5677265a01d9 MD5sum: 669cb251550f489e0a3ddaf00626b287 Description: bash tab completion for argparse Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 2.x. Package: python-biosig Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 220 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, python-support (>= 0.90.0), libbiosig1, libc6 (>= 2.14), libcholmod2.1.2, libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: python Filename: pool/main/b/biosig4c++/python-biosig_1.4.1-2~nd80+1+nd90+1_amd64.deb Size: 42586 SHA256: cfd06e3c5ccfbce94295f39b5f3ec4017d901ecccdd736801d280ed1c46cc67f SHA1: ed7bd9ad22d382058441be7f8231e75c8f599a51 MD5sum: 6e953e3faf3c49cf544a3a5d329e259b Description: Python bindings for BioSig library This package provides Python bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: python-boto3 Version: 1.2.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 725 Depends: neurodebian-popularity-contest, python-botocore, python-concurrent.futures, python-jmespath, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-requests, python-six Homepage: https://github.com/boto/boto3 Priority: optional Section: python Filename: pool/main/p/python-boto3/python-boto3_1.2.2-2~nd90+1_all.deb Size: 63248 SHA256: 903c68c0cc43c054b23959b39a2bb6cc4b3660258a38941c8af64bdda7464cdf SHA1: 4e7ae6fab994e98b1c6e70f3c017af580582e04f MD5sum: 956985a5cabb4e4a6dad490893ca869b Description: Python interface to Amazon's Web Services - Python 2.x Boto is the Amazon Web Services interface for Python. It allows developers to write software that makes use of Amazon services like S3 and EC2. Boto provides an easy to use, object-oriented API as well as low-level direct service access. Package: python-brian Source: brian Version: 1.4.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2456 Depends: neurodebian-popularity-contest, python-matplotlib (>= 0.90.1), python-numpy (>= 1.3.0), python-scipy (>= 0.7.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-brian-lib (>= 1.4.3-1~nd90+1) Recommends: python-sympy Suggests: python-brian-doc, python-nose, python-cherrypy Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian_1.4.3-1~nd90+1_all.deb Size: 401758 SHA256: 26b36aeba8693591db3604ded9e5852ae651a5766193e0bfea7d5aab171d0f31 SHA1: c2f7d445d3c681da9cce12435170627f94cee2db MD5sum: 452096fa5825d8ab802bf5a6f501e378 Description: simulator for spiking neural networks Brian is a clock-driven simulator for spiking neural networks. It is designed with an emphasis on flexibility and extensibility, for rapid development and refinement of neural models. Neuron models are specified by sets of user-specified differential equations, threshold conditions and reset conditions (given as strings). The focus is primarily on networks of single compartment neuron models (e.g. leaky integrate-and-fire or Hodgkin-Huxley type neurons). Features include: - a system for specifying quantities with physical dimensions - exact numerical integration for linear differential equations - Euler, Runge-Kutta and exponential Euler integration for nonlinear differential equations - synaptic connections with delays - short-term and long-term plasticity (spike-timing dependent plasticity) - a library of standard model components, including integrate-and-fire equations, synapses and ionic currents - a toolbox for automatically fitting spiking neuron models to electrophysiological recordings Package: python-brian-doc Source: brian Version: 1.4.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7329 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-brian Homepage: http://www.briansimulator.org/ Priority: extra Section: doc Filename: pool/main/b/brian/python-brian-doc_1.4.3-1~nd90+1_all.deb Size: 1985698 SHA256: 835c5afdbb4fb11f14d66598ecc38cb5a843a79b3f1bb0dac172168999441e61 SHA1: 8f96312d74a074629b85cd1958684525730613ad MD5sum: 5fbe363a3b8a2cd72948371cd7b9d00b Description: simulator for spiking neural networks - documentation Brian is a clock-driven simulator for spiking neural networks. . This package provides user's manual (in HTML format), examples and demos. Package: python-brian-lib Source: brian Version: 1.4.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 159 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian-lib_1.4.3-1~nd90+1_amd64.deb Size: 40920 SHA256: 109844514529d814867639565f781c78fe7056af915c326cebbe1338f6de14d2 SHA1: 2b76c103b0d78fad717ac3d2467be07fd74fd1e4 MD5sum: 54fe7cba551ca4e42edf5b25327dfeb4 Description: simulator for spiking neural networks -- extensions Brian is a clock-driven simulator for spiking neural networks. . This package provides Python binary extensions. Package: python-brian-lib-dbgsym Source: brian Version: 1.4.3-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 167 Depends: python-brian-lib (= 1.4.3-1~nd90+1) Homepage: http://www.briansimulator.org/ Priority: extra Section: debug Filename: pool/main/b/brian/python-brian-lib-dbgsym_1.4.3-1~nd90+1_amd64.deb Size: 133750 SHA256: c5742e18aa282a7d1431588b6b2d80263a06038da68b3925388f590d5cd426f5 SHA1: 92ad02a5bd3d2a531fe316d7366b218688218542 MD5sum: cdd24118cfe25b65e3821d3c01ce8d05 Description: Debug symbols for python-brian-lib Auto-Built-Package: debug-symbols Build-Ids: 024671780bd6f8afd5efd3aa2b9f7b290f1cced2 f2d873ece738c4437a5f3cc58a6f4ff2d5dadcd6 Package: python-cfflib Source: cfflib Version: 2.0.5-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 736 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-lxml, python-numpy, python-networkx (>= 1.4), python-nibabel (>= 1.1.0) Recommends: python-nose, python-sphinx, python-tables, python-h5py Provides: python2.7-cfflib Homepage: http://cmtk.org/cfflib Priority: extra Section: python Filename: pool/main/c/cfflib/python-cfflib_2.0.5-1~nd70+1+nd90+1_all.deb Size: 202534 SHA256: 76cb03a4761b10f0ba07dc6eb4cf60e126c2d362aeaa2f981d1a79003a265982 SHA1: 9129804539bb9895714a6229ae4d56a544bf47ed MD5sum: fd58e3bf366a779d34c534a279c590d3 Description: Multi-modal connectome and metadata management and integration The Connectome File Format Library (cfflib) is a Python module for multi-modal neuroimaging connectome data and metadata management and integration. . It enables single subject and multi-subject data integration for a variety of modalities, such as networks, surfaces, volumes, fiber tracks, timeseries, scripts, arbitrary data objects such as homogeneous arrays or CSV/JSON files. It relies on existing Python modules and the standard library for basic data I/O, and adds a layer of metadata annotation as tags or with structured properties to individual data objects. Package: python-chardet Source: chardet Version: 3.0.4-1~nd90+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~nd90+1_all.deb Size: 80442 SHA256: 964c2727d413ecb6e33893465dfe14627304273b7739b33b61c19ace89ae40d8 SHA1: ce1a411320a6fe8eaae82e4731319306c5327fb4 MD5sum: 5f95e0879d7869cbd403c451d9922e08 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-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 769 Depends: neurodebian-popularity-contest, python-lxml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python-citeproc_0.3.0-1~nd90+1_all.deb Size: 80364 SHA256: d1545645e4616ee893390ac616db5525b8b6540f8962c978df9489762081a8c4 SHA1: 0a2c8756cc2aca7f3c4e34da3dec7f9e24da23dd MD5sum: a3d3a59ef819bfaae15b840ea2e0d164 Description: Citation Style Language (CSL) processor for Python Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python modules. Package: python-click Version: 6.6-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 259 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python-click_6.6-1~nd90+1_all.deb Size: 56286 SHA256: f1ccae2fbbbdb8275485bd231187c300a420f470bed9c75957c2190ef5628c80 SHA1: 7e09332a93eeaaf10babe22eab2691f5e17ca034 MD5sum: d04f4c95c9e3932f06b915c08e145786 Description: Simple wrapper around optparse for powerful command line utilities - Python 2.7 Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 2 compatible package. Package: python-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python-contextlib2_0.4.0-3~nd90+1_all.deb Size: 8662 SHA256: 30037e9a438387a47f50b5d1d066cc01c56d74a9058caa4692d76ccb7fff9ac7 SHA1: 844fcf185faf677382fcb2e8b9632fe858c07873 MD5sum: 2143c9cc6e11f28cf85623860e3524e3 Description: Backport and enhancements for the contextlib module - Python 2.7 contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. . It also serves as a real world proving ground for possible future enhancements to the standard library version. . This package contains the Python 2.7 module. Package: python-datalad Source: datalad Version: 0.9.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3939 Depends: neurodebian-popularity-contest, git-annex (>= 6.20170525~) | git-annex-standalone (>= 6.20170525~), patool, python-appdirs, python-fasteners, python-git (>= 2.1.6~), python-github, python-humanize, python-iso8601, python-keyrings.alt | python-keyring (<= 8), python-secretstorage | python-keyring (<< 9.2), python-keyring, python-mock, python-msgpack, python-pyld, python-requests, python-tqdm, python-simplejson, python-six (>= 1.8.0), python-wrapt, python-boto, python-jsmin, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-duecredit, python-html5lib, python-httpretty, python-nose, python-numpy, python-requests-ftp, python-scrapy, python-vcr, python-yaml Suggests: python-bs4 Provides: python2.7-datalad Homepage: http://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python-datalad_0.9.3-1~nd90+1_all.deb Size: 764942 SHA256: 7c19d8f75caf517359189bfdeb99f28434f24225a62f4aa780d6e6487e36f2c6 SHA1: 44a682276f4ef71796ec866143094c8860fed438 MD5sum: c4a037e294f0c3dd9620f89b6b1702bf Description: data files crawler and data distribution (Python 2) DataLad is a data distribution providing access to a wide range of data resources already available online (initially aiming at neuroscience domain). Using git-annex as its backend for data logistics it provides following facilities . - crawling of web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc - command line interface for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get), as well as search within aggregated meta-data . This package installs the module for Python 2, and Recommends install all dependencies necessary for crawling, publishing, and testing. If you need base functionality, install without Recommends. Package: python-dcmstack Source: dcmstack Version: 0.6.2+git36-gc12d27d-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 504 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python: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~nd90+1_all.deb Size: 77516 SHA256: 2c79d65ad39c61eb6bce77f24135d820538dc15784fef43baa576ca5d11e5264 SHA1: c9454c8486fdded0a55662c7b7fe6b811c7b36ae MD5sum: 24b46679ba8f1dbb91c73f2ad7b5ee08 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~nd90+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~nd90+1_all.deb Size: 8518 SHA256: d4fb1925ff31d8d1d1b825f34d84f193a2e07db519552fd0015cb9426b7f69a3 SHA1: 3bbd8141b6783d654d8b4577745b5edb8e260c83 MD5sum: 172e168b5e8d3f21660e3a04b1137e18 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: 0.9.9-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1577 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8) Recommends: python-numpy, python-imaging Suggests: python-matplotlib Homepage: http://pydicom.org/ Priority: optional Section: python Filename: pool/main/p/pydicom/python-dicom_0.9.9-1~nd80+1+nd90+1_all.deb Size: 357482 SHA256: 333cc88a2a89e9e497b59c70b4972f54879fc829709837408617f2cba6c05900 SHA1: 7a178766cae90f6a7a7f024eab6064433eb66c59 MD5sum: 5104770e0d0083777c17d5a64d13c8a3 Description: DICOM medical file reading and writing 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. Package: python-dipy Source: dipy Version: 0.14.0-1~nd90+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~nd90+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~nd90+1_all.deb Size: 3060924 SHA256: 350ba57f4050c4ae59f5d32ccca665bb0862f13711eb98c739abf0c078e97a48 SHA1: 03142e1bb62f45d29b3227374f28af9a352d9c5e MD5sum: 6a538657f13799cd9804fd05cfddfd8f 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16554 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~nd90+1_all.deb Size: 12640694 SHA256: e905ede7de92a9363fafccd830bef2cde49c0577bd4f4c006412023f3513fd73 SHA1: 9cd7b9f20cb24439a2c7b9b9401afeaaa45a32f1 MD5sum: 2fb949a8fe424ff6666e0842676091be 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 10344 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.14), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.14.0-1~nd90+1_amd64.deb Size: 2014562 SHA256: aad3cae7485c2c7a5a1d8fb9d32e9053e98ba76097e3e76ff32eeaa85a723de3 SHA1: 87f147242874daa5247ee3a3f05e69d75d95abce MD5sum: 8d4aed986525d54c88a0c025ad7fad21 Description: Python library for the analysis of diffusion MRI datasets -- extensions DIPY is a library for the analysis of diffusion magnetic resonance imaging data. . This package provides architecture-dependent builds of the extensions. Python-Version: 2.7 Package: python-dipy-lib-dbgsym Source: dipy Version: 0.14.0-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 9922 Depends: python-dipy-lib (= 0.14.0-1~nd90+1) Homepage: http://dipy.org Priority: extra Section: debug Filename: pool/main/d/dipy/python-dipy-lib-dbgsym_0.14.0-1~nd90+1_amd64.deb Size: 8734248 SHA256: ee73abb41b9c3f48f115fc31e2d043dbd72f160992363978a6b11e5bb5a7b8fb SHA1: f9e81f852d307fabba82679c3333adc691a77321 MD5sum: a45f726b68c39e4a4ea6f9efce861759 Description: Debug symbols for python-dipy-lib Build-Ids: 0199b96f01705d2186666dc1ec1a56a8dacfb3c1 0833bd8bcf145d15b278a0e50557b314e6da24fc 0dff73aafd627acdfb74c581febafecbbc3252db 0ee2ed8786a3b1cfb0e8e34ed050723408fc9374 0f306638be9ce09026a247cfa51a2e6d65100c9b 10a5c5f17bfb91121615fe7adf643fb9bcc36bbc 21b1d9f0311574474f467a6c4cf2fed748a175b3 2e6ba4cffb64e54562b797669f1eddc3158e8398 377b5589868a734b06d3d06fa38c0601584e655b 3df06048ac617f72da44cd939ad143d82a9f9878 439e6e520c8f41420fb7b92ed4ed095da7c4174a 45a46ca8a7b8dcfe36ffd4d180d5b2b56878d1d1 4e3e496b78339b914e2a832625574684302b55c5 4eb8c1dda3869274f90637080eecff3be3612404 534194cc63c85bdcf52a8aae64d1bc90e9e59826 5aa0067c2c0ac509f13740ab2c24dae0756e692b 67fce91e07c24c3beff357efc127d336ca503f41 6d5771f4a7dc2c26823d2ef5c910eb3c757da641 6e7e1d73db6935cc462393c6b0a3e9383ef54571 7e79e1cb3168c3e63c2e875a3790e74a19a6c67a 8026e31b6ab8e6982681351dfce0d8eec392ad04 8157e214bc2a999a577d02e0a309d3ea04acc258 ae869713182a9c4c80f2a859745c148f485d228f b13f0bc913a00aa3ea67f1bf15b85d082f979f68 b7fbecb244ce399a51e4b8a6431bb2ef55ea9645 b87d64d04789d1c543c6d3d26a7362da9623007a bcbd01b905056b87d60f5e7d28316afe9b6948a4 bd9b52b9b7e60c502bcbd55d41acd96c7774c767 c98c4de8ced67bd3d37d700f402ccefe3a2eb5cc cf440f0ce0ed8e8dfea2383ce78673baddce899f d4b69c4c86ad1760f8d6f25d7684848705834ff0 df974ee8de919df1c62891f5f2bbf57a6ddff0e9 e72f4da0cde1cc82b20b63cf4133af5f404a270a e7d7d63a86ef29ce4d379ba724bbb6ce7c65b1ec e9b6a261cc362c5ea8dc759a19d7c88e2f9c0c78 f4b2bae07409555c0e9ecab4b3a8e927542f9a66 f738850b6810352c2a8f3f163daee70b7956bb4f Python-Version: 2.7 Package: python-docker Version: 1.7.2-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, python-requests, python-six (>= 1.4.0), python-websocket, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/dotcloud/docker-py/ Priority: optional Section: python Filename: pool/main/p/python-docker/python-docker_1.7.2-1~bpo8+1~nd90+1_all.deb Size: 27084 SHA256: f0d1901b79fc58630bda5fc801f098b6a5147815d269c0fa9ed41fdc2ccfbe83 SHA1: 4170d23c689761aeb807f212e63a84baad5e648d MD5sum: 2da688b6d004c3f4f432fd5106be4683 Description: Python wrapper to access docker.io's control socket This package contains oodles of routines that aid in controling docker.io over it's socket control, the same way the docker.io client controls the daemon. . This package provides Python 2 module bindings only. Package: python-dockerpty Source: dockerpty Version: 0.4.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-docker (>= 0.7.1) Homepage: https://github.com/d11wtq/dockerpty Priority: optional Section: python Filename: pool/main/d/dockerpty/python-dockerpty_0.4.1-1~nd90+1_all.deb Size: 10894 SHA256: dbf2e01c9a5e918543e31009dcaedbe9fe64562193d14c400a3fc71cfc878a1b SHA1: b692bcb4358c589adb8e233f413f0f8632f23ee5 MD5sum: 98501c04149da313da85d9b5c464e2ac Description: Pseudo-tty handler for docker Python client (Python 2.x) Provides the functionality needed to operate the pseudo-tty (PTY) allocated to a docker container, using the Python client. . This package provides Python 2.x version of dockerpty. Package: python-duecredit Source: duecredit Version: 0.5.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 237 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.5.0-1~nd90+1_all.deb Size: 52650 SHA256: 1ed67bf922084af25d254a526e5235e5bd829a4af8fbcda0f76f3e32d5f8c46d SHA1: a0e750b9ba750c8f813b87f3a870aa77969da2b1 MD5sum: 3f1ffb9eaa58a43f0a6cd058d879de27 Description: Publications (and donations) tracer - Python 2.X duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python-expyriment Version: 0.7.0+git34-g55a4e7e-3~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2571 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-support (>= 0.90.0), python-pygame (>= 1.9.1~), python-opengl (>= 3.0.0), ttf-freefont, libjs-jquery, libjs-underscore Recommends: python-serial (>= 2.5~), python-numpy (>= 1.3.0~) Suggests: python-parallel (>= 0.2), python-pyxid Homepage: http://www.expyriment.org Priority: optional Section: science Filename: pool/main/p/python-expyriment/python-expyriment_0.7.0+git34-g55a4e7e-3~nd80+1+nd90+1_all.deb Size: 695880 SHA256: 0cd86f3708c27c1840b144158946a886c4c9f95be05b1e066841e2c1c8bb1a14 SHA1: bb870ded3d8999b7897d0952949260de3e7a4f0a MD5sum: 9c3064599b09b61824b028c8da226384 Description: Python library for cognitive and neuroscientific experiments Expyriment is a light-weight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments. The major goal is to provide a well-structured Python library for a script-based experiment development with a high priority on the readability of the resulting programme code. Due to the availability of an Android runtime environment, Expyriment is also suitable for the development of experiments running on tablet PCs or smart-phones. Package: python-fasteners Version: 0.12.0-3~nd90+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~nd90+1_all.deb Size: 14602 SHA256: 5d00e15715a3e2fe1f463bbb1d9dad8776c507aef7c29f80b1a8c3bdd9f332b8 SHA1: 3a7e59fdb16c9ec10841364e7a9aa2a7bf917556 MD5sum: 67d4d5fcd6ba6175fb6b142e4073b4e8 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-freenect Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 144 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy (>= 1:1.8.0), python-numpy-abi9, libc6 (>= 2.4), libfreenect0.5 (= 1:0.5.2+git6-g5455843+dfsg-1~nd90+1), libpython2.7 (>= 2.7) Suggests: python-matplotlib, python-opencv Provides: python2.7-freenect Homepage: http://openkinect.org/ Priority: extra Section: python Filename: pool/main/libf/libfreenect/python-freenect_0.5.2+git6-g5455843+dfsg-1~nd90+1_amd64.deb Size: 47612 SHA256: f71defcf8275cd3b6cba509c5d7c83804e59274d2f0e0c2f58e921ca7982c603 SHA1: a2df55a56a827819f8a16136c7af8d528cdbff74 MD5sum: e1e357b2d3fdf3add648166102436997 Description: library for accessing Kinect device -- Python bindings libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package provides freenect extension to use libfreenect functionality from Python and includes some demo scripts. Package: python-fsl Source: fslpy Version: 1.2.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, python-six (>= 1.0~), 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~nd90+1_all.deb Size: 84250 SHA256: d481fd62d6ee4df838b11f248f9fa946a5c1cad6b5ddb3a553f0a6b26efe068d SHA1: b082cff8ed09295f39afd51e20f99f9d605388b9 MD5sum: 04ab843afeee3f9dab21653bf66e1b75 Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-fsleyes-props Source: fsleyes-props Version: 1.2.1-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-deprecation, python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-props (<= 1.0~) Replaces: python-props Provides: python-props, python2.7-fsleyes-props Priority: optional Section: python Filename: pool/main/f/fsleyes-props/python-fsleyes-props_1.2.1-3~nd90+1_all.deb Size: 75334 SHA256: 860bbd9897d40afe5a0ccf3bf8254a20da26230bb113fcf6ea89c8390c30d40a SHA1: c638ec83b8df3216e69cd7d4dfa3f1c0681723c3 MD5sum: 2deba034c7f99f506cfc6a005a2323df Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-fsleyes-widgets Source: fsleyes-widgets Version: 0.2.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 375 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-six (>= 1.0~), python-matplotlib, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-fsleyes-widgets Priority: optional Section: python Filename: pool/main/f/fsleyes-widgets/python-fsleyes-widgets_0.2.0-2~nd90+1_all.deb Size: 69006 SHA256: 179cc27d77da49dd40a801872f12a6115cdf696172a3c7921c618c1c0351d501 SHA1: c0878def7f064cccc2cb7b72105235622a1ef9df MD5sum: 30af329a248f050f7975d7d83f01aaee Description: Python descriptor framework A collection of GUI widgets and utilities, based on wxPython. . This package provides the Python 2 module. Package: python-funcsigs Version: 0.4-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-funcsigs-doc Homepage: http://funcsigs.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-funcsigs/python-funcsigs_0.4-2~nd90+1_all.deb Size: 12994 SHA256: 6819a05f88076e1e5e0ad09d5491099eaed8d719298cd00361956bd56443cdb1 SHA1: 51ef19f3bb68506f11126a3f1c3cdfcabdcb06d4 MD5sum: 508cc525f9e316ee7000b9fcdec6205f Description: function signatures from PEP362 - Python 2.7 funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the Python 2.7 module. Package: python-funcsigs-doc Source: python-funcsigs Version: 0.4-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 122 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://funcsigs.readthedocs.org Priority: optional Section: doc Filename: pool/main/p/python-funcsigs/python-funcsigs-doc_0.4-2~nd90+1_all.deb Size: 23728 SHA256: d9f4cbc5b1f3099bcdbca3e96cc06d6487ce60d91f39bb9b37b9cb772cc3537b SHA1: 422535a3f75e19f547a18c064bd7a2d6095008e4 MD5sum: 4f7ef3f227027cac50dabdb5b5e3f862 Description: function signatures from PEP362 - doc funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the documentation. Package: python-future Version: 0.15.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1712 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python-future_0.15.2-1~nd90+1_all.deb Size: 348400 SHA256: 07482bfed3626a9dddd770d8db61ff5c1ef148d1af33a27c79bcada7aaad1d30 SHA1: a9283aa0f1dcab1137b0ec8904daabbe6560d4c3 MD5sum: 3a9f05bf57a91be288cc8bd42e2ef4a3 Description: single-source support for Python 3 and 2 - Python 2.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 2.x module. Package: python-future-doc Source: python-future Version: 0.15.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1887 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://python-future.org Priority: optional Section: doc Filename: pool/main/p/python-future/python-future-doc_0.15.2-1~nd90+1_all.deb Size: 319712 SHA256: 31effa5d59fca4cd0960b401bf1e5a88366656a98488afcdc43291fcccd7b108 SHA1: 01d0c23dca8a7b18893260980075932666105867 MD5sum: 4d646f0bc2c071a010f34c798cbed74e Description: Clean single-source support for Python 3 and 2 - doc Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the documentation. Package: python-git Version: 2.1.8-1~nd90+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~nd90+1_all.deb Size: 303674 SHA256: 6cdc3421b01e141725349b25b3d532908f668b24d2bb190b2d0e12c2ef0e3314 SHA1: 187d23d8169f9ee36d0e2836d5afedbe6c1f400f MD5sum: 1c9f79d68d8371018363cead0a69cb3f 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 984 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~nd90+1_all.deb Size: 128368 SHA256: a8c34ce4baebc85a6699a320e87539090e26f2f4ef189b0eecbd3ecef10c864e SHA1: 4d8a6c449f281f4c428a7b265dfcddd38fbbcd3f MD5sum: c19bd5aca7040b6cb40080b08ff85b2a Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-gitdb Version: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 215 Depends: neurodebian-popularity-contest, python-smmap, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~) Provides: python2.7-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: python Filename: pool/main/p/python-gitdb/python-gitdb_2.0.0-1~nd90+1_amd64.deb Size: 46084 SHA256: 2d9ed0a58ebc67a5341831af88e7088221730339561964ca05557f3850cc2048 SHA1: 2eebcdb4208f8419296e92da8cd369283133665a MD5sum: 9b4d944c98483186169141eba2b7f9e8 Description: pure-Python git object database (Python 2) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package for Python 2. Package: python-gitdb-dbgsym Source: python-gitdb Version: 0.6.4-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: python-gitdb (= 0.6.4-3~nd90+1) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: debug Filename: pool/main/p/python-gitdb/python-gitdb-dbgsym_0.6.4-3~nd90+1_amd64.deb Size: 24370 SHA256: 4d50d56ccb9359ad4948caabf82b37ba7e531e55efad763a7b79b0287163c7a8 SHA1: 1f80395e306c220982ca641f6ab754ad6100ccaa MD5sum: dc7c84ad459c177558837481b65f79f7 Description: Debug symbols for python-gitdb Auto-Built-Package: debug-symbols Build-Ids: 9d1990e423d2226c8fbe0249b47cd8d9b048365a Package: python-github Source: pygithub Version: 1.26.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 632 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-pygithub Replaces: python-pygithub Provides: python-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python-github_1.26.0-1~nd90+1_all.deb Size: 44752 SHA256: 266264d0a4dd422b2fe6dee93f107b3f2ed6577847c8e908f29664b974a376e0 SHA1: 5165e3d879ec4937c2393549c09e20668ba30cdf MD5sum: 8bf98cc846d75c56dfdc3a81038c7e73 Description: Access to full Github API v3 from Python2 This is a Python2 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python-humanize Version: 0.5.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python-humanize_0.5.1-2~nd90+1_all.deb Size: 12952 SHA256: 258fbf845777c01e6ddb4bcba4e5983c82248711fdd9c67970c1b69215bd9b85 SHA1: d9d3b3067bbb56e31873d92a313462d862e016d3 MD5sum: 1ece0e916f32fe2b842370b94869f266 Description: Python Humanize library (Python 2) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 2 version of the package. Package: python-hypothesis Version: 3.6.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest, python-enum34, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python-hypothesis_3.6.0-1~nd90+1_all.deb Size: 95256 SHA256: 3d7438292d714ff3823d21ea11b95fd781b5f204efaf6b8f63941bd5ee6f7587 SHA1: 704d7eb98304c6dd53dfaf06837122a887c0d843 MD5sum: 106cbf017a3ad7deb99ec055115e3722 Description: advanced Quickcheck style testing library for Python 2 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 2 module. Package: python-hypothesis-doc Source: python-hypothesis Version: 3.6.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1159 Depends: neurodebian-popularity-contest Homepage: https://github.com/DRMacIver/hypothesis Priority: extra Section: doc Filename: pool/main/p/python-hypothesis/python-hypothesis-doc_3.6.0-1~nd90+1_all.deb Size: 163964 SHA256: ab1ffbbe51d0adde5663bff0749669af4afe216f12195671008b58728a4cdedd SHA1: a83289ef027bd69f1d21cf298953af4044e42e34 MD5sum: 9b597807551ef615b4a5366c941492b9 Description: advanced Quickcheck style testing library (documentation) Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the documentation for Hypothesis. Package: python-indexed-gzip Source: indexed-gzip Version: 0.6.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 883 Depends: neurodebian-popularity-contest, cython, python-numpy (>= 1:1.10.0~b1), libc6 (>= 2.14), zlib1g (>= 1:1.2.2.4), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python-indexed-gzip_0.6.1-1~nd90+1_amd64.deb Size: 269466 SHA256: add9cb051ef99ed3bd84b742ed24ecf6dcceadf1d61e10ebaa17a2d7eb8a8c7c SHA1: d36eecdd89e62da02290616817176c7d3d1e5ceb MD5sum: 707712d94dbf9635a047041caf5fad5e 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: 0.6.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 746 Depends: python-indexed-gzip (= 0.6.1-1~nd90+1) Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: extra Section: debug Filename: pool/main/i/indexed-gzip/python-indexed-gzip-dbgsym_0.6.1-1~nd90+1_amd64.deb Size: 659656 SHA256: c70ba4cd2fa852616b06b6ebedfc7ce2d3476024ad5e07412d49c4fe1555336a SHA1: 3da80f02c3af27cdf5ff0cc772ea7034a3a02a76 MD5sum: c343439b59f945bdf2b3737ee1fa6cd0 Description: Debug symbols for python-indexed-gzip Build-Ids: 0e6f6bfe04789a8622f5a0f294825696334f0c17 13ef6f6d648538ad7a6cafdf183b3348cc12c4a5 a9028f412883e8deb6baa22be9b117bdd6c7de47 Package: python-jdcal Source: jdcal Version: 1.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 39 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python-jdcal_1.0-1~nd80+1+nd90+1_all.deb Size: 7716 SHA256: fa7278a583fb30f2c0f244e46d4176c125e058cfb9440bf00988b098091dfb52 SHA1: c46cec73f8ed98b465cc051e97390f4996bce87b MD5sum: e67938a52dc086acbbea4f392b75b962 Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python-joblib Source: joblib Version: 0.11-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 505 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Recommends: python-numpy, python-pytest, python-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.11-1~nd90+1_all.deb Size: 120350 SHA256: 5a20aa0600da7bb21d347a762aa09489169d31c9c83fcdcbdd600b5b66047ed9 SHA1: 1046c845c682ad39b8e48d76e72d819c72f272e9 MD5sum: a08ad318c316864ced21b09c39a07530 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-jsmin Version: 2.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/tikitu/jsmin Priority: optional Section: python Filename: pool/main/p/python-jsmin/python-jsmin_2.2.1-1~nd90+1_all.deb Size: 21504 SHA256: 76b9e72c48d8c7041f4486fc61d71ca5aa5601ce66d2b2617e5e2e25e5466307 SHA1: 20302805c177427d896970c224ad475d07dec9be MD5sum: a64d8dd7ca38342a2a75c81400807c15 Description: JavaScript minifier written in Python - Python 2.x Python-jsmin is a JavaScript minifier, it is written in pure Python and actively maintained. . This package provides the Python 2.x module. Package: python-json-tricks Source: json-tricks Version: 3.11.0-1~nd90+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~nd90+1_all.deb Size: 24536 SHA256: 1a894c160b837da6507970a876c684a98c0472de6e8a97256c624809924e4c58 SHA1: a408416711108080e3f0816dd95670345b9a8637 MD5sum: 1bc82b1a3c42b6c1c6e0e4bd01edee28 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-lazyarray Source: lazyarray Version: 0.1.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy Homepage: http://bitbucket.org/apdavison/lazyarray/ Priority: optional Section: python Filename: pool/main/l/lazyarray/python-lazyarray_0.1.0-1~nd70+1+nd90+1_all.deb Size: 6898 SHA256: 64177357eee6f7ee78eb01dda91c6727c789370851c697165f8153dc784b557c SHA1: 91e0a31cda5c95c4bf1c97a8c20c47db3f00e5af MD5sum: 7441821b3bd04e06759e8a26db5429a7 Description: Python module providing a NumPy-compatible lazily-evaluated array The 'larray' class is a NumPy-compatible numerical array where operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Consequently, use of an 'larray' can potentially save considerable computation time and memory in cases where arrays are used conditionally, or only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array). Package: python-lda Source: lda Version: 1.0.2-9~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1263 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python-lda_1.0.2-9~nd80+1+nd90+1_amd64.deb Size: 234774 SHA256: 100b2489129eeb87dbdee228d7c788fe3fef0a7c8fdf1580586356603219f91e SHA1: 18c43c45cfee75ac7b198a61428c17a021c7c358 MD5sum: 8d8c9e8a7cb58fba4bc11e691fbc9b44 Description: Topic modeling with latent Dirichlet allocation for Python 3 lda implements latent Dirichlet allocation (LDA) using collapsed Gibbs sampling. . This package contains the Python 2.7 module. Package: python-mdp Source: mdp Version: 3.5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1391 Depends: neurodebian-popularity-contest, python-future, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-pytest, python-scipy, python-libsvm, python-joblib, python-sklearn, python-pp Enhances: python-mvpa2 Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python-mdp_3.5-1~nd90+1_all.deb Size: 277566 SHA256: 4e2e0e0e69030e414855c5c81f7fffb899f3739e7fbdb858a75a8501ba1d225f SHA1: f9967df922702377f0089c8df9af016cb9a330cb MD5sum: 8a3c5afcf54c122b08c7d4b41cca5130 Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 2. Package: python-mne Version: 0.15.2+dfsg-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11266 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-sklearn, python-matplotlib, python-joblib, xvfb, xauth, libgl1-mesa-dri, help2man, libjs-jquery, libjs-jquery-ui, libjs-d3 Recommends: python-nose, python-pytest, python-nibabel, mayavi2 Suggests: python-dap, python-pycuda, ipython Provides: python2.7-mne Homepage: http://martinos.org/mne Priority: optional Section: python Filename: pool/main/p/python-mne/python-mne_0.15.2+dfsg-2~nd90+1_all.deb Size: 4964976 SHA256: 38c4e2382cdc33b3a17007b3448dea6bf3203846f9627e133d7bd98b22d39d8c SHA1: 9e959487fcbab0ccddcb44730d3a8cafc6af7515 MD5sum: 776c701aa99d2bc02a89db64c79d59a8 Description: Python modules for MEG and EEG data analysis This package is designed for sensor- and source-space analysis of MEG and EEG data, including frequency-domain and time-frequency analyses and non-parametric statistics. Package: python-monotonic Version: 1.1-2~nd90+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~nd90+1_all.deb Size: 5432 SHA256: 3d4499e9aacad9fcba0fd681e85192ee47213cf9a75c04f9a10f14602d0ae44e SHA1: 964b9d2ee05c6d24cb8ae8555ec468b25f05e7a1 MD5sum: 5beab71ad306d7fd932eaccbcf55bbe5 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-mpi4py Source: mpi4py Version: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1466 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.10, python (>= 2.7), python (<< 2.8), mpi-default-bin Suggests: python-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py_2.0.0-1~nd90+1_amd64.deb Size: 341022 SHA256: 6de1a2082893dc286519dd2151376da9fc3a423555358045b432d91771e40b67 SHA1: 4eac798e9a82c6fcf36cd9e943227b1ed26d0dcb MD5sum: 288ed38297b5cdc090ccaf18c1f3a009 Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python-mpi4py-dbg Source: mpi4py Version: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5694 Depends: neurodebian-popularity-contest, python-mpi4py (= 2.0.0-1~nd90+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python-mpi4py-dbg_2.0.0-1~nd90+1_amd64.deb Size: 1040594 SHA256: 22443d324b786fddb6cad7731b4bcf6575ac39de332729df6c69ec1088983254 SHA1: d13de6d607d33672d596119f277b5cbfef067003 MD5sum: 5bd61dc8bedc421e7f3091bcf1ec6032 Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python-mpi4py-doc Source: mpi4py Version: 2.0.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 318 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Suggests: python-mpi4py Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: doc Filename: pool/main/m/mpi4py/python-mpi4py-doc_2.0.0-1~nd90+1_all.deb Size: 55420 SHA256: 90022b1d2b6f29244d82401a44b75ed326d56104d17f91c091a9479974497879 SHA1: 828119647eba12d56b281921fc2dbe95624b6f95 MD5sum: 8b30e6af5ec64d0be639dd8bbda8ed39 Description: bindings of the MPI standard -- documentation MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides HTML rendering of the user's manual. Package: python-msgpack Source: msgpack-python Version: 0.4.2-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 198 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Breaks: msgpack-python (<< 0.3.0-1) Replaces: msgpack-python (<< 0.3.0-1) Provides: msgpack-python Homepage: http://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python-msgpack_0.4.2-1~nd80+1+nd90+1_amd64.deb Size: 55566 SHA256: db80fd3ebda900f66434e3deddf548fdad55a68e89281cbaeb62a50a813a7c53 SHA1: 6c790cbb64244bbec810e09fcfe6bdf067048fae MD5sum: 9c04a978dee35604ac0d370ed891032e Description: Python implementation of MessagePack format MessagePack is a binary-based efficient object serialization format. It enables the exchange of structured objects between many languages like JSON. But unlike JSON, it is very fast and small. . This package contains a Python extension module implementing the MessagePack format. Package: python-mvpa2 Source: pymvpa2 Version: 2.6.4-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8573 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.4-2~nd90+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_2.6.4-2~nd90+1_all.deb Size: 5103518 SHA256: 3be7bbdd54d0bc3e9321845bc755061506344e38142a99f636b9abc712066531 SHA1: 0c1cee026aab3a944c9d79dfac7054f28333d5e9 MD5sum: 17d5775495d71a26310b4a9536986d63 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: 2.6.4-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36397 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_2.6.4-2~nd90+1_all.deb Size: 4692720 SHA256: 5d365b023c98e9e0975685d08b02dde20cff9a9d3294b4026bcbfa3508d4c61d SHA1: c1331602da50e4fde1ac765d7bba973d16c206a1 MD5sum: 91501c27f8853742a39dd71d27c2cfae 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: 2.6.4-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 141 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5), libsvm3, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), 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_2.6.4-2~nd90+1_amd64.deb Size: 51810 SHA256: 1313a383f7e8ed60d07fef68f26ae442dbc973b366823f6be453fde9fbe0c5a2 SHA1: 46110e6f05fec7974b4a20853088c43266b45096 MD5sum: b7a60ffa7200e2b177d17948e87e2c9a 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: 2.6.4-2~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 120 Depends: python-mvpa2-lib (= 2.6.4-2~nd90+1) Homepage: http://www.pymvpa.org Priority: extra Section: debug Filename: pool/main/p/pymvpa2/python-mvpa2-lib-dbgsym_2.6.4-2~nd90+1_amd64.deb Size: 91056 SHA256: cd65d2eea7927568a367c981d82a7e1cd0b2c41ff46e23f530d881f9d3d94cc8 SHA1: 2c8b3e7be14e74e7e6e40f84234673ef27934841 MD5sum: 9ee159183841fb63d7edccc822f26e9a Description: Debug symbols for python-mvpa2-lib Build-Ids: 40a16aa27d0753de94c7ef26ab56d010cb1e717c df2211ac2e77a85b71e91b9522e501fcc2519b03 Python-Version: 2.7 Package: python-neo Source: neo Version: 0.3.3-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2974 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy (>= 1:1.3~), python-quantities (>= 0.9.0~) Recommends: python-scipy (>= 0.8~), python-tables (>= 2.2~), libjs-jquery, libjs-underscore Suggests: python-nose Homepage: http://neuralensemble.org/trac/neo Priority: extra Section: python Filename: pool/main/n/neo/python-neo_0.3.3-1~nd80+1+nd90+1_all.deb Size: 1383640 SHA256: 7e3b8dcf1a6e7c971437d744c5bb781a34c6272677f9760fd74d262f0f7e12b1 SHA1: 8c96c831525d26230be96771de115c7f2cb574d8 MD5sum: a1c098adc1493d4cd4f12a7c564a5508 Description: Python IO library for electrophysiological data formats NEO stands for Neural Ensemble Objects and is a project to provide common classes and concepts for dealing with electro-physiological (in vivo and/or simulated) data to facilitate collaborative software/algorithm development. In particular Neo provides: a set a classes for data representation with precise definitions, an IO module with a simple API, documentation, and a set of examples. . NEO offers support for reading data from numerous proprietary file formats (e.g. Spike2, Plexon, AlphaOmega, BlackRock, Axon), read/write support for various open formats (e.g. KlustaKwik, Elan, WinEdr, WinWcp, PyNN), as well as support common file formats, such as HDF5 with Neo-structured content (NeoHDF5, NeoMatlab). . Neo's IO facilities can be seen as a pure-Python and open-source Neuroshare replacement. Package: python-neuroshare Version: 0.9.2-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 81 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.8.0), python-numpy-abi9, python:any (>= 2.7.5-5~), python-h5py Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: python Filename: pool/main/p/python-neuroshare/python-neuroshare_0.9.2-1~nd80+1+nd90+1_amd64.deb Size: 20390 SHA256: bad477da56ef5ec21ee268265e6be7ffaa45510f6168a058aa27850b1daae01f SHA1: 0087a3e6096acd35caedd071818259276d40efa8 MD5sum: fa6c0efecb7f3ef826d10968f06488c9 Description: Python interface and tools for Neuroshare The Neuroshare API is a standardized interface to access electrophysiology data stored in various different file formats. To do so, it uses format- specific shared libraries. . This package provides a high-level Python interface to the Neuroshare API that focuses on convenience for the user and enables access to all available metadata and data. The data is returned in NumPy arrays, which provides a quick route to further examination and analysis. . In addition, this package contains the ns2hdf converter tool that converts neuroshare-compatible files into the HDF5 (Hierarchical Data Format, ver. 5) file format. Package: python-neuroshare-doc Source: python-neuroshare Version: 0.9.2-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 271 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: doc Filename: pool/main/p/python-neuroshare/python-neuroshare-doc_0.9.2-1~nd80+1+nd90+1_all.deb Size: 95554 SHA256: 2ce47764501482655bdadd0c5e71fb26ef3652e141cc6f493fa897afaec80e93 SHA1: ec00e3c7a84c81e3a4a3eae42b249b0aeb16078e MD5sum: 02d7853bc814b8e6df159b51b2685b81 Description: Python interface and tools for Neuroshare The Neuroshare API is a standardized interface to access electrophysiology data stored in various different file formats. To do so, it uses format- specific shared libraries. . This package provides a high-level Python interface to the Neuroshare API that focuses on convenience for the user and enables access to all available metadata and data. The data is returned in NumPy arrays, which provides a quick route to further examination and analysis. . In addition, this package contains the ns2hdf converter tool that converts neuroshare-compatible files into the HDF5 (Hierarchical Data Format, ver. 5) file format. . This package contains HTML documentation files for python-neuroshare. Package: python-nibabel Source: nibabel Version: 2.2.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64693 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_2.2.1-2~nd90+1_all.deb Size: 2213640 SHA256: 02e73ef25f11240653cb8cdb7395eaaab29357e3686b32a599939bd10345684d SHA1: 55345775e59fef42bf6e2b3e26f1559dee9b73d5 MD5sum: d138da9e83f08627aad798a493c34e57 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: 2.2.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9013 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_2.2.1-2~nd90+1_all.deb Size: 1627584 SHA256: 8aaa81e5900f866669b1efc676a9e5a81e3cc0ed804b7e54be9c600a805cac92 SHA1: 8742a172740192ea437aeb26110d177630e87435 MD5sum: 09b6a12e22f473341d29cb5eb1f5cdc0 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-nifti Source: pynifti Version: 0.20100607.1-4~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1146 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libnifti2, python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy, libjs-jquery Provides: python2.7-nifti Homepage: http://niftilib.sourceforge.net/pynifti/ Priority: optional Section: python Filename: pool/main/p/pynifti/python-nifti_0.20100607.1-4~nd70+1+nd90+1_amd64.deb Size: 255844 SHA256: 607400a63d5da5dee02f7ae9e44ed99bb10584f98c7a3d4791b49732058b2fd5 SHA1: 08dd50eb26bdfe852bbdaf379f6ff4eee680583a MD5sum: 9cdf9e272ee6597ff1355e105666bef0 Description: Python interface to the NIfTI I/O libraries Using PyNIfTI one can easily read and write NIfTI and ANALYZE images from within Python. The NiftiImage class provides Python-style access to the full header information. Image data is made available via NumPy arrays. Python-Version: 2.7 Package: python-nilearn Source: nilearn Version: 0.2.5~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2422 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.6), python-nibabel (>= 1.1.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy (>= 0.9), python-sklearn (>= 0.12.1) Recommends: python-matplotlib Provides: python2.7-nilearn Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python-nilearn_0.2.5~dfsg.1-1~nd90+1_all.deb Size: 730970 SHA256: cdacd3f8857e30e08add6b1a8c317c02b2446fdf39be9ac68ec19560f868fd63 SHA1: 3ea915f29eeeaf1eb21a8c7fb1a1f6d16fbb617c MD5sum: e4d4a05c9bf06a364f19a566288f4d32 Description: fast and easy statistical learning on neuroimaging data (Python 2) This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. . This package provides the Python 2 version. Python-Version: 2.7 Package: python-nipy Source: nipy Version: 0.4.2-1~nd90+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~nd90+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~nd90+1_all.deb Size: 781714 SHA256: 1ccb7962a04c0185d2793f6f68b325ee204fb2f1d5c8b312b11bbb3c9d19bc2f SHA1: 91b30282a4290c97571ef66025e2ad36f97e6aca MD5sum: ba68882e7856267c00c001956e962231 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9359 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~nd90+1_all.deb Size: 1869230 SHA256: 6b97a9f22fde39d13db6d4bc99acfd50080a56a1e65bc3aee4ac2a78fc245e6f SHA1: 2f8f67b3909b381ba69306c3c08d224ea4119972 MD5sum: 13348028b7af5c4fe0ebb466a1b65f22 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2744 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.10.0~b1), 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~nd90+1_amd64.deb Size: 667220 SHA256: 2aa787c8db0e13f6a796bc4049245b98984f7061bafa000c98f2767a551d2a24 SHA1: 224dab1869d70c891cf5b22fbd7077acee6fc9a8 MD5sum: 609f8ab852f892ba4fbe8a399ed19a32 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2917 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7), python-nipy-lib (= 0.4.2-1~nd90+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~nd90+1_amd64.deb Size: 730702 SHA256: ed8105cb326c2ba45677044a204301ee6ad9b7e4425bf4d5203e3b7479b345f0 SHA1: c5c2fbb6fbe6ebdf5a645aee16ebb535c8965328 MD5sum: 245c446b622abf99ce78ef84b32f2318 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: 0.4.2-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2580 Depends: python-nipy-lib-dbg (= 0.4.2-1~nd90+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg-dbgsym_0.4.2-1~nd90+1_amd64.deb Size: 2202586 SHA256: 8ef0ad404b35496f1ba62b4a0993490d7366b41a68e7a12fc920987fc98cc160 SHA1: ad1c70b585796443ccecbfc8326ab9561ce7181d MD5sum: 4c18bea571b7058b9d7a8d186c75d98c Description: Debug symbols for python-nipy-lib-dbg Build-Ids: 05efe7e975521bea08018a3851920696f5f3888f 2448f988332bb6a2f6361a8cfb9d27ab686e01a1 441b97fe8402812d59d1edce2c9576869dda0b99 5169d75ab0ab84abcea99cb3cf11e8f32a4740c5 860bc56847358e2974a2656b878d937ef4f0f671 8948a037c299cbd42aba46ca37ebe8e201b48e7f 992cdc885bc3f2ca1c72e0f2811a3982a6522bbd a3e222c9f26ab7ce14fac64d2775790750d0dc2a a52f2ce0233bf17a670c21ac195dd5247b389a75 b428ac65856906555a35104ae54e78c786abe96e c7ece0c9abe28deb9fe7354916e95946efe5eac1 d9f1a65d9466f7b48b3fd80326d88df64314f71d f3b63a5d44e40ca4fda83d42b8a1dfbeff0a60a3 f55d4d0ca8dd450f6340f695e774132108efc50b Python-Version: 2.7 Package: python-nipy-lib-dbgsym Source: nipy Version: 0.4.2-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2447 Depends: python-nipy-lib (= 0.4.2-1~nd90+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbgsym_0.4.2-1~nd90+1_amd64.deb Size: 2066612 SHA256: cedb28dc53e6aedc56a7a8b5f0302a62b75d9dcf0e591416a89650eb7f784daa SHA1: 4aac7030e1fe298709353d98b70abc62f467db36 MD5sum: 33a7aec8f8a83c65e04dcd5bd97b77aa Description: Debug symbols for python-nipy-lib Build-Ids: 10e2bdc84545c2abaccf4cd9d8a364d37d007f47 2252db2a7f6888e264e708dd4d5f3b860713125d 22eefdd9821dcd0a16a01f318ec9e6d5bace1d3a 4204d0cc1930c492ca084d6263fddc786341986e 463fc30f810ee06d21016cd5d18808be0c605dec 6ac2d3c69aa76a4edceab6e2e290057de512a642 980ff603c0ecdacb5fd902ce073082f25e075172 a130b87c278c5ca017b7e7edbf77cef548ee9034 a91febffb5125d0c2c451f09d5a6ea783c07653c b48ae5652398f85bab2ce15025efdda8781062d4 bf4b6b29a1e82942267266183f6c612900aa9ee0 bf831200002e515367bb1a9feab2050ab2fdc5ad c01b4b05157f57caeacbad8a670ea11ed7ca1f2e c20c0f3264019b5a5d24e7baf6543a18fb2e88f3 Python-Version: 2.7 Package: python-nipype Source: nipype Version: 1.0.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10920 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~nd90+1_all.deb Size: 1871100 SHA256: 91a894d36136663878ab093d8bcb37ed6034a69888745345063cf5b784cf630f SHA1: 396dccd28c7c8474b24830992581c9f0e7c35c0f MD5sum: fc77ca0b212b8c9dded40b9b8197228a 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41666 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~nd90+1_all.deb Size: 19436992 SHA256: eecaa67bc46aea933c1d7aca313a5e1e8fa5c6121dc5e9ac1c404a5747148049 SHA1: e22d34b5cad2d1a2e1e0b000bee5943ac37d43d4 MD5sum: 22b13af7fe8e84f0f4bbc366da66391a Description: Neuroimaging data analysis pipelines in Python -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-nitime Source: nitime Version: 0.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9377 Depends: neurodebian-popularity-contest, python-matplotlib, python-numpy, python-scipy, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-nose, python-nibabel, python-networkx Homepage: http://nipy.org/nitime Priority: extra Section: python Filename: pool/main/n/nitime/python-nitime_0.7-1~nd90+1_all.deb Size: 2541578 SHA256: a4f115af35854dac381881783cc9ebfd93a0f027f10732a661e7acbabaf599c0 SHA1: 0d2f82c0a6dae42dfa180f111e8adce3a2e2de3a MD5sum: 2a48c69fa2a7f2fe9c641043d3bb20f0 Description: timeseries analysis for neuroscience data (nitime) Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. Package: python-nitime-doc Source: nitime Version: 0.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6913 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nitime Homepage: http://nipy.org/nitime Priority: extra Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.7-1~nd90+1_all.deb Size: 4823226 SHA256: 0c89c6cad18d374ab68adfe1a86c590c2d5b6915f3bfb217371828438ae2d3cd SHA1: 710ef4c80450764e923b2f23dd36f9453708e5bf MD5sum: 66370a3998374943a6c2a326fe6cc192 Description: timeseries analysis for neuroscience data (nitime) -- documentation Nitime is a Python module for time-series analysis of data from neuroscience experiments. . This package provides the documentation in HTML format. Package: python-nlopt Source: nlopt Version: 2.4.1+dfsg-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 280 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Provides: python2.7-nlopt Homepage: http://ab-initio.mit.edu/wiki/index.php/NLopt Priority: optional Section: python Filename: pool/main/n/nlopt/python-nlopt_2.4.1+dfsg-1~nd80+1+nd90+1_amd64.deb Size: 69622 SHA256: 1a15145522f4ed4a1454e64ef88087d4bfb3e7882de6bcbbab9c1c3aa94edeae SHA1: 24913b57150c4993662acc989c5aec3259de0b1e MD5sum: b4750cc9fdd15fb892b8faa6698810e6 Description: nonlinear optimization library -- Python bindings NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. Its features include: . * Callable from C, C++, Fortran, GNU Octave, Python, GNU Guile, GNU R. * A common interface for many different algorithms * Support for large-scale optimization. * Both global and local optimization algorithms. * Algorithms using function values only (derivative-free) and also algorithms exploiting user-supplied gradients. * Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. . This package contains the Python bindings. Package: python-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python-nosexcover_1.0.10-2~nd90+1_all.deb Size: 5124 SHA256: 0690e2f53e965d973b5427bf4a5dfb5199bb9868e33fb2ceefff034936546db0 SHA1: fd93ee50ff6d54caef0722f9db35460dc06d145a MD5sum: 56644cbe0eef91d6c280ff1ffe1479b4 Description: Add Cobertura-style XML coverage report to nose A companion to the built-in nose.plugins.cover, this plugin will write out an XML coverage report to a file named coverage.xml. . It will honor all the options you pass to the Nose coverage plugin, especially --cover-package. Package: python-numexpr Source: numexpr Version: 2.6.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 421 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 (>= 2.14), libgcc1 (>= 1:3.0), 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~nd90+1_amd64.deb Size: 143402 SHA256: 41e9dfbafc97a885e4a4d671e4d3b94951213422ebb92bb99487f4250f03bd8f SHA1: af992194bdcaa2c8cb92233954ff1e66e80086a5 MD5sum: 43e374d602c713111dd6cd5f648d4d36 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-dbg Source: numexpr Version: 2.6.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 287 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7~), python-dbg:any (<< 2.8), python-dbg:any (>= 2.7~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python-numexpr (= 2.6.1-2~nd90+1), python-numpy-dbg Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbg_2.6.1-2~nd90+1_amd64.deb Size: 110916 SHA256: 03cea978061770e0ccc2f35e1d23e7c761325914cf3de41ac31dad0f52897820 SHA1: 9040005518349861d372675a35bee127119932d3 MD5sum: 16ef36e0cdc16189094a128c3d466606 Description: Fast numerical array expression evaluator for Python and NumPy (debug ext) 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 the extension built for the Python 2 debug interpreter. Package: python-numexpr-dbg-dbgsym Source: numexpr Version: 2.6.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 235 Depends: python-numexpr-dbg (= 2.6.1-2~nd90+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbg-dbgsym_2.6.1-2~nd90+1_amd64.deb Size: 217144 SHA256: 92dda530573ecf848c1223e815d4fb97597261fd2c844d94af8605957a4a63ca SHA1: 5e1e6c0868b85cfc8de2ff14df078a5de04d2b22 MD5sum: 0d894a8cdb44a33bbc8ea99d6ff31c6d Description: Debug symbols for python-numexpr-dbg Auto-Built-Package: debug-symbols Build-Ids: fe38c82c0e0a0f21335f4238dee75138fc9f3c0f Package: python-numexpr-dbgsym Source: numexpr Version: 2.6.2-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 235 Depends: python-numexpr (= 2.6.2-1~nd90+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python-numexpr-dbgsym_2.6.2-1~nd90+1_amd64.deb Size: 217706 SHA256: 8cd6ab77994c67c69cc4fc648931124dad666aa2421d537462486c3050ec4837 SHA1: 40557601139969a8f93d0a493a5b88e68da67365 MD5sum: 3c918f9b62748c0e15bf1d79e0470a2a Description: Debug symbols for python-numexpr Build-Ids: 820b29903cc163ef94397abe35fd544d30ccfa3c Package: python-openopt Source: openopt Version: 0.38+svn1589-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1065 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy Recommends: python-scipy, python-cvxopt, python-matplotlib, python-setproctitle Suggests: lp-solve Conflicts: python-scikits-openopt Replaces: python-scikits-openopt Provides: python2.7-openopt Homepage: http://www.openopt.org Priority: extra Section: python Filename: pool/main/o/openopt/python-openopt_0.38+svn1589-1~nd70+1+nd90+1_all.deb Size: 179826 SHA256: e289031fd70e3234dd9bf775fda6ce9332235b63580fc3f21d95f5bf7d2ae59d SHA1: 0b6e1f2a56ea52c4ec110effc58bdb067c8a9887 MD5sum: bdffb8b3128e6731bf3a3af978b2667b Description: Python module for numerical optimization Numerical optimization framework developed in Python which provides connections to lots of solvers with easy and unified OpenOpt syntax. Problems which can be tackled with OpenOpt * Linear Problem (LP) * Mixed-Integer Linear Problem (MILP) * Quadratic Problem (QP) * Non-Linear Problem (NLP) * Non-Smooth Problem (NSP) * Non-Linear Solve Problem (NLSP) * Least Squares Problem (LSP) * Linear Least Squares Problem (LLSP) * Mini-Max Problem (MMP) * Global Problem (GLP) . A variety of solvers is available (e.g. IPOPT, ALGENCAN). Python-Version: 2.7 Package: python-openpyxl Source: openpyxl Version: 2.4.9-1~nd90+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~nd90+1_all.deb Size: 221724 SHA256: 57dc4749ea8cbc88647a2524cab314eb20a07074088d4bc6272a7a4b815b2ef7 SHA1: 0bc22cbaa3523634b205cfbde3af752785517b10 MD5sum: 330594b78b8432bd0b53c911f000f12a 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-packaging Version: 16.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 85 Depends: neurodebian-popularity-contest, python-pyparsing, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python-packaging_16.2-2~nd90+1_all.deb Size: 17204 SHA256: d00371df4d5a73963138386d93de0bafa8cb2722c0851f7694c249f7fbaa76df SHA1: efb06ae7d0a596e847ce8e9930a285b61a68efcc MD5sum: 95b08012df65ef3a2f60e3502382bd7b Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python-pandas Source: pandas Version: 0.22.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26941 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 (>= 0.22.0-2~nd90+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: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.22.0-2~nd90+1_all.deb Size: 2779416 SHA256: 9610a3bf9db07f047c687694531a9cca62099359d25bbbe012932955fc59eddd SHA1: 6daaf3cd73dcaf66514d68beba53768496c0c50b MD5sum: e92d474c4b9a2789dc51ad8f7fcfca22 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: 0.22.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59430 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Suggests: python-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: doc Filename: pool/main/p/pandas/python-pandas-doc_0.22.0-2~nd90+1_all.deb Size: 5573980 SHA256: 7281f4154a6e7fb2f65d02127bf5aacd55eea9d9e691d31af7a9c6cc2cad34b9 SHA1: 8b173f3df7a4e29a14dd3b5832cf8acae4e50aff MD5sum: 904965db1d300c8fac09c5da450d144d Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-pandas-lib Source: pandas Version: 0.22.0-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 13158 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7) Provides: python2.7-pandas-lib Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.22.0-2~nd90+1_amd64.deb Size: 3034262 SHA256: d551bf6007443ed54aed4d1646d51480706df7ddf56a880c5cd8821795e4fcce SHA1: 09d2b26ed8f4d636e604570a0225823f9fa86f66 MD5sum: aa741721367695153fc86608d853f85c 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: 0.22.0-2~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12933 Depends: python-pandas-lib (= 0.22.0-2~nd90+1) Homepage: http://pandas.sourceforge.net Priority: extra Section: debug Filename: pool/main/p/pandas/python-pandas-lib-dbgsym_0.22.0-2~nd90+1_amd64.deb Size: 11638912 SHA256: f398286739a6541169b45b12d9f0e7e199e0ca224e743efb369e9cb0715f3bd5 SHA1: 06b3ba2451b8352d366ac37c6fe78b79a2c29695 MD5sum: caaf41f782dd8a7946e5d3f155a2b1b0 Description: Debug symbols for python-pandas-lib Build-Ids: 03339754d52e45de98600de999713eaf1dbeb7a4 2c23f1eff7e069b55a4b6ce0e979a0f2ac9d65b8 576556e50314d93ef61499760c6c4dfb43e542bd 5f97d58f7a6bbaba067ac005a14cce96ff8106bd 6481b1c648eb5db50a10de2fcd7de5ff6d3f6590 7b18e4b004a5b32de566eece55b076df19518087 7dc985eaef161e84fd431f20621b5ed6969ee8a9 83c5b78a40acaf96d460fa5ffc6a17414c5b097e 84f96c3155d22b62c77f852b4ea49bab9b1ebf18 854892314b2832539aeb6a2b7357b451788ff0f7 8a6c5c7bc469719e56f05b47f2fa92aba8d7edc7 9af64352a237aa31728d01b3b2f8b0dcdab89db1 9f5e75d4d4cab0c55f6b7d9404e221aded7df2ea a0f9e4daa811bcd5e924f02c3631f37bf35a9a93 a845bc1f4f6bd58826b00ddde039ef418b1f7755 a92a2857213164d75fe6a9421449062dc2bbd854 b1a3647264acdbec6c63ca9ad45f603e7298d802 c14700dff65e6d5605afd1584faaf4046608f95c c6fdd094e1bcfb5605c5ef862ff529ece07fc442 cc151478fdea8d6e0758e6c590f35887b4ca5626 d17747297ee2ed62c13e964a98439a24dfefe8c3 d9bb4c839b416194bdfe142a408fffcab2b027f0 e64613c1d3365bb92726c5a0cb1362f91d7b9b06 ee134cefaca7205bf25950f79c8bf77cb713a059 f0b6f3fca2b859ef433a307f550841fbe129dcb3 f2cc89696a0fc9081c78540032c99df5251af404 fb99326bf076a9a760ee882f559966ac0b5e6c50 Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.4.1+git34-ga5b54c2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 783 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-six, python-numpy Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.4.1+git34-ga5b54c2-1~nd90+1_all.deb Size: 171532 SHA256: 457750f530aef9ae62acac7f6659459178c76812ddeef5c02a71ea18e8cf0e75 SHA1: f97afc61a7da7803b36a8d85d1a092a2cd72d191 MD5sum: 6b0fee881020e6d1a28d0e515a799737 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 2 version. Package: python-patsy-doc Source: patsy Version: 0.4.1+git34-ga5b54c2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1426 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-patsy Homepage: http://github.com/pydata/patsy Priority: optional Section: doc Filename: pool/main/p/patsy/python-patsy-doc_0.4.1+git34-ga5b54c2-1~nd90+1_all.deb Size: 364526 SHA256: d8a2c44193bb061863847e24218e70c6c346e586ac8a0c599aec10a63d59342c SHA1: 686374cd05a79c78e02a211c6763823ccf73a265 MD5sum: d1607091dc8ccd22e4e32a8661ae8550 Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 441 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 141364 SHA256: 85ae24cd50ed92fdf65c36348158559c048a2d73fc46bb4ecce5f43d376e6560 SHA1: b35b615d96e1d173498317d88db017a3efabfc89 MD5sum: 2e9c768b5e36bdd4af1bbd37b574b00c Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: python-pp Source: parallelpython Version: 1.6.2-2~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 143 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Homepage: http://www.parallelpython.com/ Priority: optional Section: python Filename: pool/main/p/parallelpython/python-pp_1.6.2-2~nd70+1+nd90+1_all.deb Size: 28994 SHA256: 9d2b9bc5a9f1f2f7ab2c1f65d14edab85d349c71f7c32d5b03a8a84752927571 SHA1: 9a77e4793d44f572146a67eaa8af06f5e2be9bc4 MD5sum: 7b25f8fbdf69d07695113ddb51235f8d Description: parallel and distributed programming toolkit for Python Parallel Python module (pp) provides an easy and efficient way to create parallel-enabled applications for SMP computers and clusters. pp module features cross-platform portability and dynamic load balancing. Thus application written with PP will parallelize efficiently even on heterogeneous and multi-platform clusters (including clusters running other application with variable CPU loads). Python-Version: 2.7 Package: python-pprocess Source: pprocess Version: 0.5-2~nd90+1 Architecture: all Maintainer: NeuroDebian Team 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~nd90+1_all.deb Size: 83052 SHA256: 0c9933e7ef1993c38b3f1c28ba85cb462af12c36d286a668083cd2dafb97dcc4 SHA1: 8d386a338e6e686bfd7849a1cfef4d1a713e96e5 MD5sum: 711c9f8a004edd0a0e9e50aa582f417a Description: elementary parallel programming for Python The pprocess module provides elementary support for parallel programming in Python using a fork-based process creation model in conjunction with a channel-based communications model implemented using socketpair and poll. On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Package: python-props Source: props Version: 0.10.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 651 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-matplotlib, python-numpy, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-props Priority: optional Section: python Filename: pool/main/p/props/python-props_0.10.1-1~nd90+1_all.deb Size: 117296 SHA256: 8f9542c38da832e29d01b686c08de47fe34acca80a9170d99762fdb5a902f1d4 SHA1: 0dee84c93fdc7d6e81dca28530b4c1958a128d66 MD5sum: 0405beb611db04ddcc77e9c06318733e Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python-prov Version: 1.5.0-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1951 Depends: neurodebian-popularity-contest, python-dateutil, python-lxml, python-networkx, python-rdflib, python-six (>= 1.9.0), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-prov-doc, python-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python-prov_1.5.0-1+nd1~nd90+1_all.deb Size: 100622 SHA256: 7f9bc91b1d9aafdf9937d3fd3758632be4e637d3a14378030edad18deacc8557 SHA1: 6ee7278cce31c2180f2af0172805d271b0a6af48 MD5sum: b8ce4a1154c535be961519eaaabecc88 Description: W3C Provenance Data Model (Python 2) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 2. Package: python-prov-doc Source: python-prov Version: 1.5.0-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 958 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://github.com/trungdong/prov Priority: optional Section: doc Filename: pool/main/p/python-prov/python-prov-doc_1.5.0-1+nd1~nd90+1_all.deb Size: 76680 SHA256: d534176b4134d868e29ed8c93f23887c2e62683b7cba18298b71198e277e5dc7 SHA1: 3b8c2c24c292a1e9678bf3b08fe519481e11e877 MD5sum: 7a14ff97171671fa7c50e327d350f10d Description: documentation for prov A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the documentation for the prov library. Package: python-psutil Version: 2.1.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 578 Depends: neurodebian-popularity-contest, libc6 (>= 2.13), python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~) Homepage: http://code.google.com/p/psutil/ Priority: optional Section: python Filename: pool/main/p/python-psutil/python-psutil_2.1.1-1~nd80+1+nd90+1_amd64.deb Size: 116422 SHA256: da25ec89414de2d7281bc68f122720912008cbf869b48fa64e91aeb4df02a4b2 SHA1: 5551e3ff4dbf156e1fb615c96cebf10eb3a1deb9 MD5sum: 52eda59b0d39c7b7a3954f47e6f4bdc9 Description: module providing convenience functions for managing processes psutil is a module providing an interface for retrieving information on running processes and system utilization (CPU, memory) in a portable way by using Python, implementing many functionalities offered by tools like ps, top and Windows task manager. . It currently supports Linux, OS X, FreeBSD and Windows. Package: python-py Version: 1.4.31-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-pkg-resources Suggests: subversion, python-pytest, python-pytest-xdist Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python-py_1.4.31-2~nd90+1_all.deb Size: 82202 SHA256: df2d0cab2503956a9d104bc43ec7714addb66d64fdc8149fb8257d7af8b02347 SHA1: 140a63aef16d99e1a670df6d6d5eb35eed88dd57 MD5sum: d27228a2ede59f4d8a7a55f2fcab5ccd Description: Advanced Python development support library (Python 2) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 2 modules. Package: python-pydot Source: pydot Version: 1.2.3-1.1~nd90+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~nd90+1_all.deb Size: 21940 SHA256: 826cf54340397c23d7b1846101457d619ec64bbeca20db0c203e2fdda5d454e2 SHA1: fdd7c8ff91273fa95cee457946ed94b4d669fea4 MD5sum: aceceaf50a87e2d55abfe916dfa47fa2 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-pydotplus Version: 2.0.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python-pyparsing (>= 2.0.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python-pydotplus_2.0.2-2~nd90+1_all.deb Size: 20330 SHA256: 55142ca53ac2cb48c251d23ba9b528e979b89e5ed4a9a3c653c49bc5a933161e SHA1: b7401849eb89809b704e299866d57645f454c278 MD5sum: ec98ee23dc59c3f1a49798ab44b871a2 Description: interface to Graphviz's Dot language - Python 2.7 PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 2.7 module. Package: python-pydotplus-doc Source: python-pydotplus Version: 2.0.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 533 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-pydotplus/python-pydotplus-doc_2.0.2-2~nd90+1_all.deb Size: 47724 SHA256: 0268ff2f9f37d3f2e787e816bc78dcb1b19b12fb781253da20fc8c025d67f0e8 SHA1: 22de3f26cadecd07198b7d52a61c7687856f7786 MD5sum: f60a74e3e9202b39eb290228d00a6c94 Description: interface to Graphviz's Dot language - doc PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the documentation. Package: python-pyentropy Source: pyentropy Version: 0.4.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 91 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy (>= 1.3) Recommends: python-scipy Suggests: python-nose Provides: python2.7-pyentropy Homepage: http://code.google.com/p/pyentropy Priority: extra Section: python Filename: pool/main/p/pyentropy/python-pyentropy_0.4.1-1~nd70+1+nd90+1_all.deb Size: 19484 SHA256: 90a65872dff84dfdd9080faae4df963e355d03c4f5c818b6dee37ae7265c8dd5 SHA1: 41cee054cc47be20e73203718874a5aae00fc35e MD5sum: e90627411895dd8862ef69d2670d0968 Description: Python module for estimation information theoretic quantities A Python module for estimation of entropy and information theoretic quantities using cutting edge bias correction methods, such as * Panzeri-Treves (PT) * Quadratic Extrapolation (QE) * Nemenman-Shafee-Bialek (NSB) Python-Version: 2.7 Package: python-pyepl Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1431 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pyepl-common (= 1.1.0+git12-g365f8e3-2~nd80+1+nd90+1), python-numpy, python-imaging, python-pygame, python-pyode, python-opengl, ttf-dejavu, libasound2 (>= 1.0.16), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libode1, libsamplerate0 (>= 0.1.7), libsndfile1 (>= 1.0.20), libstdc++6 (>= 4.4.0) Conflicts: python2.3-pyepl, python2.4-pyepl Replaces: python2.3-pyepl, python2.4-pyepl Provides: python2.7-pyepl Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl_1.1.0+git12-g365f8e3-2~nd80+1+nd90+1_amd64.deb Size: 282850 SHA256: 4ed4c4e324c037fd6e610ae943fa63df738527b90e20fb12d47b74fd680632b3 SHA1: fc3bb2da13573adf7970ae32425db4e978706c85 MD5sum: f0195254ee081fdaf506f6b61f472e6a Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides PyEPL for supported versions of Python. Package: python-pyepl-common Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 822 Depends: neurodebian-popularity-contest, python Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl-common_1.1.0+git12-g365f8e3-2~nd80+1+nd90+1_all.deb Size: 819326 SHA256: 3bb7c4a8afd71f527affe1dc9fc35cc8767aebfb4a22ca35c975346202ccfd15 SHA1: b65162864b6ef1f6b6f21f3a81b7221a8d9f5e6f MD5sum: ae5bd1ef9c1dcee42bc9e64308126c62 Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides common files such as images. Package: python-pyglet Source: pyglet Version: 1.3.0-1~nd90+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~nd90+1_all.deb Size: 1423806 SHA256: 3bc8dd73a572ea604a6ec74d81d236642e5e35c193f01dcab9aedf242d65511b SHA1: c49558957845d36ee5195e86f4125b17d3398c67 MD5sum: 509acba6f4fb1321031b4b1e3db21a25 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-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 393 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.14), libcdt5, libcgraph6, graphviz (>= 2.16) Suggests: python-pygraphviz-doc Homepage: https://pygraphviz.github.io/ Priority: optional Section: python Filename: pool/main/p/python-pygraphviz/python-pygraphviz_1.3.1-1~nd90+1_amd64.deb Size: 74456 SHA256: e7fdd5006dad96903717f2a2b65f763e46a0aacca7aa94029e26d06052dbde94 SHA1: b2f5b68493992369008ee840581b271a1008c5a6 MD5sum: 40059dab8124fff71bbace89b5285fab Description: Python interface to the Graphviz graph layout and visualization package Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. Package: python-pygraphviz-dbg Source: python-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 307 Depends: neurodebian-popularity-contest, python-pygraphviz (= 1.3.1-1~nd90+1), python-dbg, libc6 (>= 2.14), libcdt5, libcgraph6 Homepage: https://pygraphviz.github.io/ Priority: extra Section: debug Filename: pool/main/p/python-pygraphviz/python-pygraphviz-dbg_1.3.1-1~nd90+1_amd64.deb Size: 113166 SHA256: ad52ac5c13f37b23663c1ca2bf4f88c2c71258c460658dfbdc7c32446230f6e9 SHA1: d3a2bf7943d83fb192956dc5586daa22ca947ada MD5sum: 02a61248afbcf90d079cbb4df835982f Description: Python interface to the Graphviz graph layout and visualization package (debug extension) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains the debug extension for python-pygraphviz. Build-Ids: f0c016e993a72f1914abdad634299b949d2383fd Package: python-pygraphviz-doc Source: python-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 316 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://pygraphviz.github.io/ Priority: optional Section: doc Filename: pool/main/p/python-pygraphviz/python-pygraphviz-doc_1.3.1-1~nd90+1_all.deb Size: 68270 SHA256: ce0105e88b9f49e39f9a76e3ce1ab3dbd46ace0428352e9e5fd0e7f5fa312294 SHA1: 57d5c953c138c4d943639db0c49d1d5fd5b7e4aa MD5sum: b8164fbcc0bda1288c939d3ab19408f9 Description: Python interface to the Graphviz graph layout and visualization package (doc) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains documentation for python-pygraphviz. Package: python-pymc Source: pymc Version: 2.3.4+ds-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2833 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, libblas3 | libblas.so.3, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.6), liblapack3 | liblapack.so.3, libquadmath0 (>= 4.6), python-scipy, python-matplotlib, python-nose Recommends: python-tables Suggests: python-pydot, ipython Homepage: http://pymc-devs.github.com/pymc/ Priority: extra Section: python Filename: pool/main/p/pymc/python-pymc_2.3.4+ds-1~nd80+1+nd90+1_amd64.deb Size: 590728 SHA256: 2e8fbca2ba9b0fabfc0889e8a3c6b649271e526551ba0069b187912e323aaa43 SHA1: 59c81cc6f281302d5e9378d82deb89dbf5db1d0c MD5sum: 71ad23b81a78ab3bc356eda15002749c Description: Bayesian statistical models and fitting algorithms PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics. Package: python-pymc-doc Source: pymc Version: 2.3.4+ds-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1894 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Homepage: http://pymc-devs.github.com/pymc/ Priority: extra Section: doc Filename: pool/main/p/pymc/python-pymc-doc_2.3.4+ds-1~nd80+1+nd90+1_all.deb Size: 839788 SHA256: af2ce4bafd9fe4585d82802881bc4a1ceb28e9076d529d7cc57ac90478281dd4 SHA1: 9f2d1b73a0c55bd49be8229926cc64a9e63a88e3 MD5sum: ad1e1963e2b23c06beb3c6fa20c513e1 Description: Bayesian statistical models and fitting algorithms PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics. . This package provides the documentation in HTML format. Package: python-pynn Source: pynn Version: 0.7.5-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 832 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Recommends: python-jinja2, python-cheetah Suggests: python-neuron, python-brian, python-csa Homepage: http://neuralensemble.org/trac/PyNN Priority: extra Section: python Filename: pool/main/p/pynn/python-pynn_0.7.5-1~nd70+1+nd90+1_all.deb Size: 137374 SHA256: 370ece10f2dd605fc721d1d7d7efb38db0d4c150a969f9a7788b0a18ac0d2eaf SHA1: a9207324cee6efc6f2830f3af2faa6a2a930d723 MD5sum: fe3284f568042b1fe19972884b23c76a Description: simulator-independent specification of neuronal network models PyNN allows for coding a model once and run it without modification on any simulator that PyNN supports (currently NEURON, NEST, PCSIM and Brian). PyNN translates standard cell-model names and parameter names into simulator-specific names. Package: python-pypsignifit Source: psignifit3 Version: 3.0~beta.20120611.1-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1662 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy Homepage: http://psignifit.sourceforge.net Priority: extra Section: python Filename: pool/main/p/psignifit3/python-pypsignifit_3.0~beta.20120611.1-1~nd70+1+nd90+1_amd64.deb Size: 346934 SHA256: 9e4922c6adaabb4a8c3e46622ab2fe653fa9369169f19fa63673fd2f547d95a8 SHA1: ca894c0fbc553987398281c438eb653ea63c4b8e MD5sum: 65cc0e5c5e2029cda0c5946af3fa6cd4 Description: psychometric analysis of psychophysics data in Python Psignifit allows fitting of psychometric functions to datasets while maintaining full control over a large number of parameters. Psignifit performs the calculation of confidence intervals as well as goodness-of-fit tests. In addition it offers: . * full Bayesian treatment of psychometric functions including Bayesian model selection and goodness of fit assessment * identification of influential observations and outlier detection * flexible shape definition of the psychometric function . This package provides the Python bindings. Package: python-pytest Source: pytest Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 649 Depends: neurodebian-popularity-contest, python-pkg-resources, python-py (>= 1.4.29), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mock (>= 1.0.1) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python-pytest_3.0.4-1~nd90+1_all.deb Size: 181360 SHA256: c05fe93e82dd77732eb4db0a487c8e9292f866a314ebe6694ac0d55fea830386 SHA1: 4558ee533529915d739f7ea8bfff8086f21e5a08 MD5sum: 2c9ffd13186ec25ab4d1e799d4c1abca Description: Simple, powerful testing in Python This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the Python 2 modules and the py.test script. Package: python-pytest-doc Source: pytest Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4029 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-pytest | python3-pytest Homepage: http://pytest.org/ Priority: optional Section: doc Filename: pool/main/p/pytest/python-pytest-doc_3.0.4-1~nd90+1_all.deb Size: 668244 SHA256: aa542a508278b156b38e3b81aa6dc84c5e7de4fb0c5055fd289dae3d67fb5f32 SHA1: 8d47d22442d169d0e8b44abc8ceb4659269a5c6f MD5sum: a7c77fb8bddce0d8cc1f71eed6b55c1e Description: Simple, powerful testing in Python - Documentation This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package contains the documentation for pytest. Package: python-pytest-localserver Source: pytest-localserver Version: 0.3.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python-pytest, python-werkzeug (>= 0.10), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://pypi.python.org/pypi/pytest-localserver Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python-pytest-localserver_0.3.4-1~nd90+1_all.deb Size: 18152 SHA256: 09ff67eba0f36d2f5bb0a405300bd4aa4315eb9a75a9fac48fd57a187c9d64f0 SHA1: 71b04f6861c66ac85684d5c7f0b0d233a60ff8df MD5sum: db59b4614f943159b2537882aabd2474 Description: py.test plugin to test server connections locally (Python 2) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 2. Package: python-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python-pytest, python-tornado, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python-pytest-tornado_0.4.4-1~nd90+1_all.deb Size: 5658 SHA256: 2baad3999ed0fc99b2329ebc1285fb06d5a94d4dfec4d619613979b24eb68a26 SHA1: fbbac0c1dd798a073e540e8f99e02174beb1450b MD5sum: 374e5ad6bb5047154499315f47d46017 Description: py.test plugin to test Tornado applications pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 2 code. Package: python-pyxid Source: pyxid Version: 1.0-1~nd+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Homepage: https://github.com/cedrus-opensource/pyxid Priority: optional Section: python Filename: pool/main/p/pyxid/python-pyxid_1.0-1~nd+1+nd90+1_all.deb Size: 10358 SHA256: e2db09bf0e002d89bb3690e59e5bc46747809822675915da6e28646cedddf5f2 SHA1: 431b7f4e71d4a33d6687832ccbef84848c4fd2bc MD5sum: 93daf5487203df271ed363dc65e968d0 Description: interface for Cedrus XID and StimTracker devices pyxid is a Python library for interfacing with Cedrus XID (eXperiment Interface Device) and StimTracker devices. XID devices are used in software such as SuperLab, Presentation, and ePrime for receiving input as part of stimulus/response testing experiments. . pyxid handles all of the low level device handling for XID devices in Python projects. Package: python-quantities Version: 0.10.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 321 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy (>= 1.4) Homepage: http://packages.python.org/quantities/ Priority: extra Section: python Filename: pool/main/p/python-quantities/python-quantities_0.10.1-1~nd70+1+nd90+1_all.deb Size: 51442 SHA256: bfacf89e8ba78fd59315adc47dd03899f4b4594354eafbb38bbe186128958b1a SHA1: 53773551206da3c1249b9d38cf0ee65a40b9d6c4 MD5sum: 5e0cd9e39a08b2233b4ede2ab7e5eb72 Description: Library for computation of physical quantities with units, based on numpy Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty. Quantities builds on the popular numpy library and is designed to work with numpy ufuncs, many of which are already supported. Package: python-rdflib Source: rdflib Version: 4.2.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1255 Depends: neurodebian-popularity-contest, python-isodate, python-pyparsing, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-sparqlwrapper (>= 1.7.6~), python-html5lib Suggests: python-rdflib-doc, python-rdflib-tools Provides: python2.7-rdflib Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python-rdflib_4.2.1-2~nd90+1_all.deb Size: 253352 SHA256: 4c98df678e39141d133be9b61478d408b332900b2c129a133c1a29d96879f2eb SHA1: d31a29f90054a56e3aa36f88aa2c321dceda6144 MD5sum: de52958f1724266e32b9a3d7443873ad Description: Python library containing an RDF triple store and RDF parsers/serializers RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains the Python 2 version of RDFLib. Package: python-rdflib-doc Source: rdflib Version: 4.2.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8178 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.4.9-2) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: doc Filename: pool/main/r/rdflib/python-rdflib-doc_4.2.1-2~nd90+1_all.deb Size: 604490 SHA256: c7a2095ff7343872a7bf587d0f287b489d3669b4559435251d0a0aaa92250e0e SHA1: 4d441e8b07debd6295fd3efd083571875b422535 MD5sum: 6b5894616fb3fc402c760ba3cdef1e03 Description: Python library containing an RDF triple store [...] (documentation) RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This is the common documentation package. Package: python-rdflib-tools Source: rdflib Version: 4.2.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, python, python-rdflib (>= 4.0.1-1) Breaks: python-rdflib (<< 4.0.1-1) Replaces: python-rdflib (<< 4.0.1-1) Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python-rdflib-tools_4.2.1-2~nd90+1_all.deb Size: 27120 SHA256: c3c23edccbbc88ed6dc5b837c36cb16702084c6fa9c60408b01347fbd1b06313 SHA1: 8148945ca4a497fc095abf5bd56091dc68549a24 MD5sum: 55e93caa6bda04ebd816328017568041 Description: Python tools for converting to and from RDF RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains some executable tools. Package: python-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python-urllib3 (>= 1.12), python:any (<< 2.8), python:any (>= 2.7.5-5~), ca-certificates, python-chardet Suggests: python-ndg-httpsclient, python-openssl, python-pyasn1 Breaks: httpie (<< 0.9.2) Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests_2.8.1-1~bpo8+1~nd90+1_all.deb Size: 68126 SHA256: 094d7371fc24224c5a7154253bedaadd34434a7c179b685584d3eb3f38a7248e SHA1: d9624b06e7a34466ab6e84f06daebeadfd5da98c MD5sum: a1fc25b7220160bc9b568047cf47fb44 Description: elegant and simple HTTP library for Python2, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts Package: python-requests-whl Source: requests Version: 2.8.1-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 353 Depends: neurodebian-popularity-contest, ca-certificates, python-urllib3-whl Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python-requests-whl_2.8.1-1~bpo8+1~nd90+1_all.deb Size: 319000 SHA256: 282d574870ededacc41cbe0bd9dae53dbef823fb008648e1523c28a619fcc1c2 SHA1: f31529135a1be6c39a367e2b5a231df67fbdf9d1 MD5sum: 603f97ee395db5bb1cbad9bbba16fc54 Description: elegant and simple HTTP library for Python, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package provides the universal wheel. Package: python-rpaths-doc Source: python-rpaths Version: 0.13-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 129 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.4.9-2) Homepage: https://github.com/remram44/rpaths/ Priority: optional Section: doc Filename: pool/main/p/python-rpaths/python-rpaths-doc_0.13-1~nd90+1_all.deb Size: 25712 SHA256: 9a1635f934c88d56787255dc4a566d3927c9e47b076dd67f280670007d503fd4 SHA1: 578a50e3259a396a6425856ec6d17fde36c36782 MD5sum: 44cc72e6d7c8181f5713e68fdd7ce30b 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~nd90+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~nd90+1_all.deb Size: 85538 SHA256: 4876121f464e27c5207905392dd6ba193a92684904cc0b91a82899563aed11a1 SHA1: c24ef8da0804c13fafd95fbc2f4e06866dd0b8ba MD5sum: 538729d74867fe379c34abe43af2e16e 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-scikits.statsmodels Source: statsmodels Version: 0.6.1-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 17 Depends: neurodebian-popularity-contest, python-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: oldlibs Filename: pool/main/s/statsmodels/python-scikits.statsmodels_0.6.1-1~nd80+1+nd90+1_all.deb Size: 6130 SHA256: 14c152e3d33f957bbfb131feb4b7f3b7635e8c951deaaa0bc14f4f61e201dd5f SHA1: aa7c9553756ceae24e09c14cb0896f3c2f47c7f0 MD5sum: ea75505ebffde41bf933adf8b994a3a9 Description: transitional compatibility package for statsmodels migration Provides old namespace (scikits.statsmodels) and could be removed if dependent code migrated to use statsmodels for clarity of the namespace. Package: python-scrapy Version: 1.0.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 986 Depends: neurodebian-popularity-contest, python-boto, python-cssselect, python-libxml2, python-lxml, python-queuelib, python-twisted-conch, python-twisted-core, python-twisted-mail, python-twisted-web, python-w3lib (>= 1.8), python, python-openssl, python-service-identity, python-six, python-twisted, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: ipython, python-django, python-guppy, python-imaging, python-mysqldb, python-pygments, python-simplejson | python (>= 2.6) Provides: python2.7-scrapy Homepage: http://scrapy.org/ Priority: optional Section: python Filename: pool/main/p/python-scrapy/python-scrapy_1.0.3-1~nd90+1_all.deb Size: 175836 SHA256: 4260fa520a995cdba1e0ef7a93e2012685b6ba641c452aca4a16c62c13cf23a9 SHA1: c669cf541b6215f69a418a8c24b8fcc1a2b1535b MD5sum: 1e24fc66d2270804340c78ef55b335c4 Description: Python web scraping and crawling framework Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy script and modules. Package: python-scrapy-doc Source: python-scrapy Version: 1.0.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7133 Depends: neurodebian-popularity-contest Recommends: libjs-jquery, libjs-underscore Homepage: http://scrapy.org/ Priority: optional Section: doc Filename: pool/main/p/python-scrapy/python-scrapy-doc_1.0.3-1~nd90+1_all.deb Size: 1540304 SHA256: 3680a439513ce144108222c9ef83853e240c9e58b9e635527309a1ff6079ebda SHA1: ace8165525e67c38faac44f433dc390ed3d6b231 MD5sum: 2c46c761285144e992af8ec8b0aeba62 Description: Python web scraping and crawling framework documentation Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy documentation in HTML format. Package: python-seaborn Source: seaborn Version: 0.7.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 766 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-pandas, python-matplotlib Recommends: python-statsmodels, python-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python-seaborn_0.7.1-2~nd90+1_all.deb Size: 128148 SHA256: 37a2320ba41067e6f3cb1524153c851de5ddb845594905decc2ed3eb7365070a SHA1: 6f4217b29b78731736e7e5e443bf02420b0d9a9e MD5sum: 8b79cd79eeecc50beb9877bc899d8353 Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 2 version of the package. Package: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 520 Depends: neurodebian-popularity-contest, python-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-setuptools-doc Provides: python-distribute Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python-setuptools_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 202882 SHA256: 01e06afa9bed6d067a83e9d567524ced6d681fa2d4adf9cc8e749b106a9ba668 SHA1: 83064a27397b09226b86ff44b50b4bf0a808a30e MD5sum: 9f0904b6301d6dda919b0c965d8332bb Description: Python Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: python-setuptools-doc Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1151 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: doc Filename: pool/main/p/python-setuptools/python-setuptools-doc_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 200342 SHA256: 5fc60cf7e9b042ef70252ba57cc61a46870d372a4247dba41128b4469591555d SHA1: 53fef49a979c75d0f5650649d098a435b4f2a6a5 MD5sum: a7025d38e45d90dc43319fd5a27941eb Description: Python Distutils Enhancements (documentation) Extensions to the Python distutils for large or complex distributions. The package contains the documentation in html format. Package: python-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python-setuptools-scm_1.8.0-1~bpo8+1~nd90+1_all.deb Size: 11450 SHA256: f58c242f4adf132cd1dfa7bdcb70cb88bec6b5af319d005d4398abfc1104952b SHA1: 704b1c46a6f49ee40904d9f0137bb013f88e6983 MD5sum: 91e7cb0fbfb78d34485684539fca493a Description: blessed package to manage your versions by scm tags for Python 2 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 2. Package: python-simplegeneric Source: simplegeneric Version: 0.7-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 34 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Provides: python2.7-simplegeneric Homepage: http://pypi.python.org/pypi/simplegeneric Priority: extra Section: python Filename: pool/main/s/simplegeneric/python-simplegeneric_0.7-1~nd70+1+nd90+1_all.deb Size: 9264 SHA256: 15a747617db233795675c1aa67ca9de17cd9e13af6912664e0b88eca1ddc6ddf SHA1: 94c949ff1fa89b6d155fa03308f301354c498766 MD5sum: 8594dcbe5f67eccd178894087d1d54e8 Description: Simple generic functions for Python The simplegeneric module lets you define simple single-dispatch generic functions, akin to Python's built-in generic functions like len(), iter() and so on. However, instead of using specially-named methods, these generic functions use simple lookup tables, akin to those used by e.g. pickle.dump() and other generic functions found in the Python standard library. Package: python-six Source: six Version: 1.10.0-3~bpo8+1~nd90+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~nd90+1_all.deb Size: 14662 SHA256: 58d2c3ecb53c12818859c99c0e3d125b89b0cea5194a3021e65fe7a537a5252d SHA1: 39b653f922658795fd70b58670297cbd16a2b4c9 MD5sum: cb5ebe41ce59dc84d63067d52476853d 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-six-whl Source: six Version: 1.9.0-3~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six-whl_1.9.0-3~bpo8+1~nd90+1_all.deb Size: 14070 SHA256: 923b4ed69614fd0ade8375e3d07d912ac516bedf8001c82935a25addfb890e3b SHA1: 75ddd3467b2e6bf4808f11965d7629707ddd55b1 MD5sum: 3bf5284c215ab22af0423fff495f2a38 Description: Python 2 and 3 compatibility library (universal wheel) 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 as a universal wheel. Package: python-sklearn Source: scikit-learn Version: 0.19.1-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7020 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.19.1-3~nd90+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_0.19.1-3~nd90+1_all.deb Size: 1456498 SHA256: 706dcb0e973a1cc2e65ad0d0b2b863af916255694f65efc0da428e36c8a26758 SHA1: c22e7fc380619064750ebdfe3946b88530603de3 MD5sum: 605884f632e86abd334f5b1af29d0b9b 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: 0.19.1-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 33157 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_0.19.1-3~nd90+1_all.deb Size: 5081928 SHA256: 098b9d091f66f09ec3a2800b036b0c163148ec3e8b240a7402a8f96cbfe95228 SHA1: 858c6fed73f51f601e1df1092a69b2a27e58b6fd MD5sum: ec9eaede9496f0eef640e664ce1ef9fe 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: 0.19.1-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6673 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.10.0~b1), 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_0.19.1-3~nd90+1_amd64.deb Size: 1559988 SHA256: 6663b3a015a394a21408177883c94b0d49411ec9c285f8fa26c200a29e022415 SHA1: 1b54d24456f68ca9f2093d89a4b43aaee23eb0e2 MD5sum: ae14a213fae048f3cd36a0a83aa651ab 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: 0.19.1-3~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6909 Depends: python-sklearn-lib (= 0.19.1-3~nd90+1) Homepage: http://scikit-learn.sourceforge.net Priority: extra Section: debug Filename: pool/main/s/scikit-learn/python-sklearn-lib-dbgsym_0.19.1-3~nd90+1_amd64.deb Size: 5993898 SHA256: 333f98ec9d053f53efff6af229100d5f84ac8ea25382a509e6cd59e4e1deb62e SHA1: bf429909878d339d8780faafaee511f28e3f7360 MD5sum: 33e8a77fadaaca9507827b43842fecf6 Description: Debug symbols for python-sklearn-lib Build-Ids: 003321fe25798c7855ffcb5dc283cff2ac65acb7 159141d00cda33a0277e2413b59a6e3c132f7ef7 1df731a6eae051392c36218d49e1e273c32b1892 2529adca7b35f4a5453cd7f24ed03ff76de72f6d 2722f8f6f82cad006879a109067ff1c0baffdad3 30490de1e7202d976895750da9e4d29afd6968ff 3ce767cc90d7b26cd2709a2318dec59eff602de7 510f3d36022dfa2d4b69709fb29c264143128072 524c2c34da6aa1e14ff5423fb342c9748bef422a 60feeb5ca6f154ed76936bb1f65141cce9d4878d 61bef45783e4d7c8c6c9d508189812c9966d2f88 63e4ff7abcfdfcad5e67fa59c9a48213c4b0a320 6763349212f3bbab85970c972df5ae578b823ba1 69434d1865b542f95677193f36069fefc107cad6 6d9575c968912cad9efea06fdfbacb50531aa983 8513aad125d1dcdbe31f0e53d5d2d9fcda868051 88b2011f6f6eaa3aa211b195ba94700ffc7aa3e3 8c706be3cf7537e7d4c07fd16dacccb264fc923e a0005ab5cb54ee0bdf02cb375971ce5d0a0d0036 a21ef9e04240e6261ae7eaff138715dbd516334c a73010f52d5e3a8370009390c7a502e7d22dc22c a797f708c0e207d8adea8e63f267cc2e295c9471 bc65b7ef683bc40f564dcc8df9cdec9f1fcf7be6 bd28a35e3d7e5103a5a1201444a7a004043bfbeb be5f0e9a535dee671c8504a2659069c5a257fac5 c82e0b3efb51e1b1002aec2178cf9da7dbf19f79 ca0c92ff76e07f42a3d143485fa1dabaeae54481 d00554ff30b2328a3eb88cffba00827cfac1e65f d44706a8f063fcad014d0032ceed2026f3af66d5 d5290f781078a03596ee4864e7f289efd7c5fd78 d6be576d87b4a5b8c6f20ec05235ffdb06d3e131 d76a4ff06ddca95a2d6e35686b1d576280b17ad3 d8603a183f59fc03bad044a242628596d6ed15bb dc3f1b44e15a34b0fdd5bf574b40a21b40d28fcb e0c7eb17dbb168e06a50f7558983f725051b070a e74dcb76b6e8f46a914b313a83bfc982d3249156 ee9321e97aa88d4e9e72c5ff7858168c71cb0ab7 f9e4686b900e40fa996ef13b75b9acb160bc9f12 f9f219fc774c6cdc465ba5479b87700bba4fd189 ffcdde4bbaaa0d8071d66902a57dbe863b1e4106 Package: python-smmap Version: 2.0.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~) Suggests: python-nose Provides: python2.7-smmap Homepage: https://github.com/Byron/smmap Priority: extra Section: python Filename: pool/main/p/python-smmap/python-smmap_2.0.1-1~nd90+1_all.deb Size: 20046 SHA256: 08d191b6480b31de78a887740cec8841bf0b0306d56b5e1615af8ccc0f8b7f87 SHA1: 8f4ee3a0388684f7e13a05c3cf94907f620025dd MD5sum: 0ebc2dd9267cf1d659fa7789063e709e Description: pure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 2. Package: python-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, python-rdflib, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python-sparqlwrapper_1.7.6-3~nd90+1_all.deb Size: 24000 SHA256: 15c075d591999ca84991660453bd89311b3ffe3efccb4b35cd7053fc94df1936 SHA1: 30e991350da5d04fb59e9c9a4e2d6c0b13ed6246 MD5sum: ce701a001fa7423d48525276c6078d2f Description: SPARQL endpoint interface to Python This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 2 version of the package. Package: python-sphinx Source: sphinx Version: 1.0.7-2~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3602 Depends: neurodebian-popularity-contest, python (>= 2.4), python-support (>= 0.90.0), python-docutils (>= 0.5), python-pygments (>= 0.8), python-jinja2 (>= 2.2), libjs-jquery Recommends: python (>= 2.6) | python-simplejson, python-imaging Suggests: jsmath Homepage: http://sphinx.pocoo.org/ Priority: optional Section: python Filename: pool/main/s/sphinx/python-sphinx_1.0.7-2~nd70+1+nd90+1_all.deb Size: 1039184 SHA256: c0343e0061b8ee91e77c7ae4929f848936635d296d62555c27663d36bef902c1 SHA1: b0ebef92fc597a739bc948e7cee12df496a8aefe MD5sum: d1a38c525e04f208e5c87ceb4cbb58a8 Description: tool for producing documentation for Python projects Sphinx is a tool for producing documentation for Python projects, using reStructuredText as markup language. . Sphinx features: * HTML, CHM, LaTeX output, * Cross-referencing source code, * Automatic indices, * Code highlighting, using Pygments, * Extensibility. Existing extensions: - automatic testing of code snippets, - including doctrings from Python modules. Package: python-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 359 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python-sphinx-rtd-theme_0.1.8-1~nd90+1_all.deb Size: 117144 SHA256: eab67c48e24b93cff0b649e5a427eb10c52aa359d3a4fd74ea6cd4b069a9e95c SHA1: 34abec450f80ae0621d2647f38fddacebc0e09ef MD5sum: cc42c408e9505fba4fe618b6df197db5 Description: sphinx theme from readthedocs.org (Python 2) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 2 version of the package. Package: python-spyderlib Source: spyder Version: 2.2.5+dfsg-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4197 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), libjs-sphinxdoc (>= 1.0), libjs-jquery, libjs-mathjax, python-qt4 Recommends: ipython-qtconsole, pep8, pyflakes (>= 0.5.0), pylint, python-matplotlib, python-numpy, python-psutil (>= 0.3.0), python-rope, python-scipy, python-sphinx Suggests: tortoisehg, gitk Breaks: spyder (<< 2.0.12-1) Replaces: spyder (<< 2.0.12-1) Provides: python2.7-spyderlib Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: python Filename: pool/main/s/spyder/python-spyderlib_2.2.5+dfsg-1~nd80+1+nd90+1_all.deb Size: 1647356 SHA256: b4a2d401e100aa223d1cd764287958b07aae66471c4bc8b0f81cb56b4592f175 SHA1: 29ea7e0b238e8c437fb77ce4c5a77a910856a7b2 MD5sum: 46e38b5131ab14d5811e5b6e8ecfe690 Description: python IDE for scientists Originally written to design Spyder (the Scientific PYthon Development EnviRonment), the spyderlib Python library provides ready-to-use pure-Python widgets: source code editor with syntax highlighting and code introspection/analysis features, NumPy array editor, dictionary editor, Python console, etc. It's based on the Qt Python binding module PyQt4 (and is compatible with PySide since v2.2). Package: python-spykeutils Source: spykeutils Version: 0.4.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2094 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-scipy, python-quantities, python-neo (>= 0.2.1), python-nose, python-sphinx Recommends: python-guidata, python-guiqwt, python-tables, libjs-jquery, libjs-underscore, python-sklearn (>= 0.11), python-joblib (>= 0.4.5) Provides: python2.7-spykeutils Homepage: https://github.com/rproepp/spykeutils Priority: extra Section: python Filename: pool/main/s/spykeutils/python-spykeutils_0.4.2-1~nd90+1_all.deb Size: 308630 SHA256: c56f8e2d1a3184c8bda97a917bbad50ab1fb0735e6847c750162788c553ce69a SHA1: 61fc54b1b17852300f5e9191ba72f8b9fe314361 MD5sum: 451f10b232b5ac99eb1add45a414c099 Description: utilities for analyzing electrophysiological data spykeutils is a Python library for analyzing and plotting data from neurophysiological recordings. It can be used by itself or in conjunction with Spyke Viewer, a multi-platform GUI application for navigating electrophysiological datasets. Package: python-statsmodels Source: statsmodels Version: 0.8.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15923 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), python-numpy, python-scipy, python-statsmodels-lib (>= 0.8.0-1~nd90+1), python-patsy Recommends: python-pandas, python-matplotlib, python-nose, python-joblib, python-cvxopt Suggests: python-statsmodels-doc Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Provides: python2.7-statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels_0.8.0-1~nd90+1_all.deb Size: 3316852 SHA256: 95315fadb36ceea8237b8e1e538412c4008d5854cef64a49a90d92fdb68a74e5 SHA1: 19d05ff41d376db80de12846b4311dbc7894665b MD5sum: 24094d77c65f7fc8e60d7719bb3e0861 Description: Python module for the estimation of statistical models statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Package: python-statsmodels-doc Source: statsmodels Version: 0.8.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 54543 Depends: neurodebian-popularity-contest, libjs-jquery Recommends: libjs-mathjax Suggests: python-statsmodels Conflicts: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Replaces: python-scikits-statsmodels-doc, python-scikits.statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: doc Filename: pool/main/s/statsmodels/python-statsmodels-doc_0.8.0-1~nd90+1_all.deb Size: 8984366 SHA256: 28a042ed288c4d3c8114fac7b62b2cbba453aa45aa2bd807a3117bbe159756f6 SHA1: f918724b98486c021a319160726a0bacb2b54435 MD5sum: b1b907c84f27ea1d883884619aad1173 Description: documentation and examples for statsmodels This package contains HTML documentation and example scripts for python-statsmodels. Package: python-statsmodels-lib Source: statsmodels Version: 0.8.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1889 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.14) Conflicts: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Replaces: python-scikits-statsmodels, python-scikits.statsmodels (<< 0.4) Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-statsmodels-lib_0.8.0-1~nd90+1_amd64.deb Size: 296684 SHA256: 303d0c45abd143a737e789b19e54bc404854522bdbdd3a2443d7e3645e168ed9 SHA1: fba968991d84d3f790b1455ea65bc8105eea7adc MD5sum: 4dcacedc1420cec6c000041a4705f3dc Description: low-level implementations and bindings for statsmodels This package contains architecture dependent extensions for python-statsmodels. Package: python-statsmodels-lib-dbgsym Source: statsmodels Version: 0.8.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 643 Depends: python-statsmodels-lib (= 0.8.0-1~nd90+1) Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: debug Filename: pool/main/s/statsmodels/python-statsmodels-lib-dbgsym_0.8.0-1~nd90+1_amd64.deb Size: 339756 SHA256: a0c6b60cc1b14b2c2340dff3618939d7e5f8694acb7fd7a7113f19483578173e SHA1: 8406082ac0897f28a07ff59b05d0d30ff5059c8c MD5sum: 6dd96e047f1c2d1ef7815ee59450addc Description: Debug symbols for python-statsmodels-lib Auto-Built-Package: debug-symbols Build-Ids: 157020501308f463502aca20fcd9749d7cd37c54 6b5744d1b3711d0f9068f773b1a751845a094cd8 7443328c450a5ba737afef4575ed6fff3bd4b42b a90ea85e0d7a4233c87d5cf8af2c787f94d1c427 b6dc4c129bcba8ed7df6b49316e52c8074368126 Package: python-stfio Source: stimfit Version: 0.15.5-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1457 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python2.7, python:any (<< 2.8), python:any (>= 2.7.5-5~), libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod3 (>= 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_0.15.5-1~nd90+1_amd64.deb Size: 489928 SHA256: a3ba6840b36c62cd78a12c24f3e05a50238d41a49dfc2267f35c639ad337410f SHA1: 85f60e06fa1b8eb0ec53ffeb6602cb02a4e4a5f1 MD5sum: 05c7ffe3499eb95dbc9a57f9222438c1 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-surfer Source: pysurfer Version: 0.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 199 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python:any (>= 2.6.6-7~), python-nibabel, python-numpy, python-scipy, python-pil | python-imaging, mayavi2, python-argparse Recommends: mencoder Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.7-1~nd90+1_all.deb Size: 44584 SHA256: 1d9f7d284c92dc88886f3ad91735ed7d48bcf34ec44d34032d4c2c5b1dc9344c SHA1: e6522641c1be9b910202179130e4388f3bb2e378 MD5sum: 75e5b6cd14e51a57631fa42e7209ee97 Description: visualize Freesurfer's data in Python This is a Python package for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi’s powerful visualization engine with a high-level interface for working with MRI and MEG data. . PySurfer offers both a command-line interface designed to broadly replicate Freesurfer’s Tksurfer program as well as a Python library for writing scripts to efficiently explore complex datasets. Python-Version: 2.7 Package: python-sympy Source: sympy Version: 1.1.1-4~nd90+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~nd90+1_all.deb Size: 2574868 SHA256: 912345ba2c6f8c2420fec3d3058922ce69b31946845abc0f566dba5d17069283 SHA1: bb41499b79756a4cb970f2cdbc069d26d7b68a57 MD5sum: c6b28d78191b14fefbdb19d6e3386705 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~nd90+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~nd90+1_all.deb Size: 5096808 SHA256: 41df0e782dfd2b8457726ec07947f4e280769a382b25147cf3b6ae7e00b3ab38 SHA1: edb4fd5f36c1e2aa851d677dd1e559458171c8d1 MD5sum: 1e3346421e4db36a2ab8986f11dfd398 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-tables Source: pytables Version: 3.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2815 Depends: neurodebian-popularity-contest, python-numpy, python, python-numexpr, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-tables-lib (>= 3.2.1-1~nd90+1), python-tables-lib (<< 3.2.1-1~nd90+1.1~), python-tables-data (= 3.2.1-1~nd90+1) Suggests: python-tables-doc, python-netcdf, vitables Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables_3.2.1-1~nd90+1_all.deb Size: 344806 SHA256: e66e257a076d39aa14d4204d5cf7b49114e518c8bec02735b5a3e8bac0c02da9 SHA1: a148f32ac501ace9855b063ab8390d8e9022261d MD5sum: 8df7e8284168c245806d6cae620f649f Description: hierarchical database for Python based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 2 version of the package. Package: python-tables-data Source: pytables Version: 3.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 957 Depends: neurodebian-popularity-contest Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables-data_3.2.1-1~nd90+1_all.deb Size: 51306 SHA256: 938dad82d3f85942804284edfcde696fad4eb67d713e1fb962bf5f4639156fda SHA1: a0de2ee3c0e22768d4558eb90271e3cebdcb8ff8 MD5sum: 266358c542dd429090e1ca9595fd3887 Description: hierarchical database for Python based on HDF5 - test data PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes daya fils used for unit testing. Package: python-tables-dbg Source: pytables Version: 3.2.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1609 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7~), libbz2-1.0, libc6 (>= 2.14), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1, zlib1g (>= 1:1.1.4), python-tables (= 3.2.1-1~nd90+1), python-tables-lib (= 3.2.1-1~nd90+1), python-numpy-dbg, python-numexpr-dbg Suggests: python-tables-doc, python-netcdf Homepage: http://www.pytables.org Priority: extra Section: debug Filename: pool/main/p/pytables/python-tables-dbg_3.2.1-1~nd90+1_amd64.deb Size: 478136 SHA256: 58a2e7f93f7c0165b3a0bd5031a9eff2f3fc4539a2412a912a1793f2b554119a SHA1: 5fe36850f239ce8b5661d6f6e247d425a293bdf3 MD5sum: 5976b2930fdcbcd8f23b121c6246b9bf Description: hierarchical database for Python based on HDF5 (debug extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 2 debug interpreter. Package: python-tables-doc Source: pytables Version: 3.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8931 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), libjs-jquery-cookie Suggests: xpdf | pdf-viewer, www-browser Homepage: http://www.pytables.org Priority: optional Section: doc Filename: pool/main/p/pytables/python-tables-doc_3.2.1-1~nd90+1_all.deb Size: 4249128 SHA256: a40038c806f2e49ca56bf8f36e962ce1505bb1de33b75dc1115c6a3b3c41c50e SHA1: d2f16e4f4dcbc57265ef62e3c5be8a9a0f632735 MD5sum: 2ef20d66ba9810f5bf35e4bd789ef2d2 Description: hierarchical database for Python based on HDF5 - documentation PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes the manual in PDF and HTML formats. Package: python-tables-lib Source: pytables Version: 3.2.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1372 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), libbz2-1.0, libc6 (>= 2.14), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1, zlib1g (>= 1:1.1.4) Recommends: python-tables (= 3.2.1-1~nd90+1) Breaks: python-tables (<< 3.0.0-3) Replaces: python-tables (<< 3.0.0-3) Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python-tables-lib_3.2.1-1~nd90+1_amd64.deb Size: 381708 SHA256: bedc68c5169f6ea4fa5e3409f186f52725df67e0cc99f5467147ad91b8755b21 SHA1: 57ba904a4beb017733ff6491ff1637402edf3f21 MD5sum: a96ee974dcf3e6f06fa20ede0e413560 Description: hierarchical database for Python based on HDF5 (extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 2 interpreter. Package: python-tornado Version: 2.1.0-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 752 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pycurl, ca-certificates Recommends: python-mysqldb Homepage: http://www.tornadoweb.org/ Priority: optional Section: python Filename: pool/main/p/python-tornado/python-tornado_2.1.0-1~nd70+1+nd90+1_amd64.deb Size: 162960 SHA256: 388bd5cdd7abd37c99a0532a0b870678aed55c7a253afb5cb6a2e0d41801034f SHA1: f13dc2eb1f9571020af981ce730aec9da9f8ae13 MD5sum: 152bba76920e504042feda8080bfcb8e Description: scalable, non-blocking web server and tools Tornado is an open source version of the scalable, non-blocking web server and tools that power FriendFeed. The FriendFeed application is written using a web framework that looks a bit like web.py or Google's webapp, but with additional tools and optimizations to take advantage of the underlying non-blocking infrastructure. Package: python-tqdm Source: tqdm Version: 4.11.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 179 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/tqdm/tqdm Priority: optional Section: python Filename: pool/main/t/tqdm/python-tqdm_4.11.2-1~nd90+1_all.deb Size: 49632 SHA256: 4adce1d24cb43786452451d7196c946b219757d02e919a4d79d6077b21cb7071 SHA1: a110407a534e8d8bffeff10a879fa912ecee2f5b MD5sum: 95e946bc59c8a6630d3cda97a4b8da24 Description: fast, extensible progress bar for Python 2 tqdm (read taqadum, تقدّم) means “progress” in Arabic. tqdm instantly makes your loops show a smart progress meter, just by wrapping any iterable with "tqdm(iterable)". . This package contains the Python 2 version of tqdm . Package: python-traits4 Source: python-traits Version: 4.0.0-1~cbp0~nd70+1+nd90+1 Architecture: amd64 Bugs: mailto:bugs@neuro.debian.net Maintainer: Debian Python Modules Team Installed-Size: 1784 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0) Suggests: python-traitsui Conflicts: python-traits (>= 4.0~) Homepage: http://pypi.python.org/pypi/traits Priority: optional Section: python Filename: pool/main/p/python-traits/python-traits4_4.0.0-1~cbp0~nd70+1+nd90+1_amd64.deb Size: 274152 SHA256: 89d34f78c17277aeb0f658d841584152e2d9d8132b2a86892e6004fd4cd56c72 SHA1: 3758cbae40a89b1505c36dbf24e21d41fec6a8a4 MD5sum: e747d6abbeef188db8591a1a0a553139 Description: Manifest typing and reactive programming for Python The traits package provides a metaclass with special attributes that are called traits. A trait is a type definition that can be used for normal Python object attributes, giving the attributes some additional characteristics: * Initialization: A trait attribute can have a default value * Validation: A trait attribute is manifestly typed. * Delegation: The value of a trait attribute can be contained in another object * Notification: Setting the value of a trait attribute can fired callbacks * Visualization: With the TraitsUI package, GUIs can be generated automatically from traited objects. Uploaders: Varun Hiremath Vcs-Browser: http://svn.debian.org/viewsvn/python-modules/packages/python-traits/trunk/ Vcs-Svn: svn://svn.debian.org/python-modules/packages/python-traits/trunk Package: python-tz Version: 2012c-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 138 Depends: neurodebian-popularity-contest, tzdata, python (>= 2.7), python (<< 2.8) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python-tz_2012c-1~nd70+1+nd90+1_all.deb Size: 34052 SHA256: 183fa2c4d83c7b02405c5f9101694d4d85961edf4bcee6dba215e9e20b67d8cb SHA1: 8c91f1d29e858933f13fea6bdaf815c0890e1850 MD5sum: ceac8a71c4038ba6e4f4c78a07232199 Description: Python version of the Olson timezone database python-tz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo). Package: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Recommends: ca-certificates, python-ndg-httpsclient, python-openssl, python-pyasn1 Suggests: python-ntlm Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3_1.12-1~bpo8+1~nd90+1_all.deb Size: 65372 SHA256: 36ee52037907d239e55c5b15d1570024a0ac2f049ca11b6fb2c85e15360d6121 SHA1: c46b5eeb451f8235429f72c951c5b0307f1eb962 MD5sum: 44fa7e06d879bad45c6fecd896d4aed7 Description: HTTP library with thread-safe connection pooling for Python urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. Package: python-urllib3-whl Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 102 Depends: neurodebian-popularity-contest, python-six-whl Recommends: ca-certificates Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python-urllib3-whl_1.12-1~bpo8+1~nd90+1_all.deb Size: 92832 SHA256: f9b360883fd0d1694cb33317081e225032a57ad26c587bf4dd4170038192bafc SHA1: 8bc6cbe0de7d234b87645296d40f5b0fa71b13fd MD5sum: 0bc80104672a4fab130e3e7b0cac49aa Description: HTTP library with thread-safe connection pooling urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the universal wheel. Package: python-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 157 Depends: neurodebian-popularity-contest, python-contextlib2, python-mock, python-six (>= 1.5), python-wrapt, python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python-vcr_1.7.3-1.0.1~nd90+1_all.deb Size: 43540 SHA256: 5ffd32e41d6b09622a23f4d3abfe55c387b39645decd096cc75fd6db807b7d46 SHA1: b30f74457f548b02effee54982003cdd445bdca5 MD5sum: b3fbd72ceee13814f0d16b9072be2a6f Description: record and replay HTML interactions (Python library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 2. Package: python-visionegg Source: visionegg Version: 1.2.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1815 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgl1-mesa-glx, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (>= 2.7), python (<< 2.8) Homepage: http://www.visionegg.org Priority: optional Section: python Filename: pool/main/v/visionegg/python-visionegg_1.2.1-1~nd80+1+nd90+1_amd64.deb Size: 601038 SHA256: 86b044389fcf1a2874190bc4a5a6edba44c7f94caeaf569a4236dcc4845ba2f5 SHA1: 67b2652c53877dcf70979ec11d05ad3cb1c53bb2 MD5sum: c4ac71d4f03c20fa81305dfe2a525c9b Description: Python library for 2D/3D visual stimulus generation The Vision Egg is a programming library that uses standard, inexpensive computer graphics cards to produce visual stimuli for vision research experiments. Package: python-vtk-dicom Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 518 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 4.1.1), libvtk-dicom0.5, libvtk5.8, python-vtk Provides: python2.7-vtk-dicom Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: python Filename: pool/main/v/vtk-dicom/python-vtk-dicom_0.5.5-2~nd90+1_amd64.deb Size: 96190 SHA256: dc680bae142ac2f079316e6b14daf02bdb5485e868326a932397a68adb934fbd SHA1: 839daaa06b497bff9975e2ed34ccba99b99af84f MD5sum: 5bad936bc1376657ae2a1a21c6cc8a3d Description: DICOM for VTK - python This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Python 2.x bindings Package: python-w3lib Version: 1.11.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python-six (>= 1.6.1), python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python-w3lib_1.11.0-1~nd90+1_all.deb Size: 14104 SHA256: 85ac8e1aa7d2bed41025a2c9b343b8002bc057f78290f03c709e6fc940d1a633 SHA1: c22e5a569842cc69a1b33afea2a6936cba76ba60 MD5sum: e355ae8758f67732c9dafe97e3f34885 Description: Collection of web-related functions for Python (Python 2) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 2 version of the package. Package: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 765 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-jquery Recommends: python-simplejson | python (>= 2.6), python-openssl, python-pyinotify Suggests: ipython, python-genshi, python-pkg-resources, python-lxml, python-greenlet, python-redis, python-pylibmc | python-memcache, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python-werkzeug_0.10.4+dfsg1-1~nd90+1_all.deb Size: 165572 SHA256: 7be17184bec25c4a421825b50b8d03493cdbdb30e57f485188f06e479b1bc755 SHA1: 44d678dad8ad3b38ee2e09a7f122d9c5863a998f MD5sum: aee38b21de85d50eabf69ff03ce3e31d Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-werkzeug-doc Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2709 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Conflicts: python-werkzeug (<< 0.9.3+dfsg-2) Replaces: python-werkzeug (<< 0.9.3+dfsg-2) Homepage: http://werkzeug.pocoo.org/ Priority: extra Section: doc Filename: pool/main/p/python-werkzeug/python-werkzeug-doc_0.10.4+dfsg1-1~nd90+1_all.deb Size: 881876 SHA256: 4a559109102aee2f3bb9267ac2200775e2afd8328e79fa27e3591e6773438a15 SHA1: 389736200858b2336fafbd741e83ead639acb312 MD5sum: 0c95fbcbaed8ab4ef2cc312bfaa821f5 Description: documentation for the werkzeug Python library Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd90+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~nd90+1_all.deb Size: 290808 SHA256: 0d2641c011abbe88c46c8395af184395d1d87a6dcf1592cc6f1db73e9a03de7e SHA1: d178ec4b09c3f702a85313ef0b2c13a6a72a6a4e MD5sum: 0f5e0b2ef2ac3c547bb85d07b7609737 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2223 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~nd90+1_all.deb Size: 242482 SHA256: 602d9fc14a76b58aa6bd22cbb6a1a6b38749cf3bb842c60be3a6b4ea219add67 SHA1: ffb18a3ad12366200c8e4c08b36da1f81381b84e MD5sum: aaa4ab28fc56b665e3e9486cf8f8b85b 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-workqueue Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), python (>= 2.7), python (<< 2.8) Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: python Filename: pool/main/c/cctools/python-workqueue_3.4.2-1~nd70+1+nd90+1_amd64.deb Size: 58518 SHA256: 53e10bfb19f7f956c3326543af1756da4fc9077f095e2743bb78fc93a5ed830f SHA1: 9be03d050f7cb941cafba7a3ffa72caf15c41e32 MD5sum: ef12ee66c89f2990b535469a0857294b Description: cooperative computing tools work queue Python bindings CCTools's Work Queue is a system and API for building master-worker style programs that scale up to thousands of processors. This package provides bindings to access this system from Python. Package: python-wrapt Version: 1.9.0-4~nd0~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 126 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~nd90+1_amd64.deb Size: 32072 SHA256: 23fbf91bf360ecf7aaf997808f24bfbadc582906b9cdf9721759192adeff8db3 SHA1: 7d0616afae77c9c416007408e8a1742da9316df1 MD5sum: 8b2ea704d67762117fd2967306c3c81e 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~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: python-wrapt (= 1.9.0-4~nd0~nd90+1) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: extra Section: debug Filename: pool/main/p/python-wrapt/python-wrapt-dbgsym_1.9.0-4~nd0~nd90+1_amd64.deb Size: 29044 SHA256: 978c5251f08ac9373275b8694d186ea54a8e78624bfecc28c5d99760a1b540c6 SHA1: 7633a7b7043dd61e5a2269b04f63b423c63e81ad MD5sum: f66e0e2730c39d44f96be8928218dacf Description: Debug symbols for python-wrapt Build-Ids: 51d13fc108478e4a1b11c9bf8696123b58f4eb45 Package: python-wrapt-doc Source: python-wrapt Version: 1.9.0-4~nd0~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 470 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~nd90+1_all.deb Size: 56472 SHA256: 9a6ac9617e9d61b73757fd9f6386c4633f3272fc645ac2d90b00304b51882e94 SHA1: 1e6c3b070d0446ca93093d6769d6762106d37be1 MD5sum: d7e5647814d2fd47d95367b30c581e90 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: python3-argcomplete Source: python-argcomplete Version: 1.0.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/p/python-argcomplete/python3-argcomplete_1.0.0-1~nd90+1_all.deb Size: 22308 SHA256: 896b8c5b419eed7ceb8bea3107bc7127880960b1fa7d095b440e162d3599b2f2 SHA1: 52fa718876f85f5e4343f1609d4adb564528bfc3 MD5sum: 0b2f1bfe1efee40720a8985e945144af Description: bash tab completion for argparse (for Python 3) Argcomplete provides easy, extensible command line tab completion of arguments for your Python script. . It makes two assumptions: . * You're using bash as your shell * You're using argparse to manage your command line arguments/options . Argcomplete is particularly useful if your program has lots of options or subparsers, and if your program can dynamically suggest completions for your argument/option values (for example, if the user is browsing resources over the network). . This package provides the module for Python 3.x. Package: python3-boto3 Source: python-boto3 Version: 1.2.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 721 Depends: neurodebian-popularity-contest, python3-botocore, python3-jmespath, python3:any (>= 3.3.2-2~), python3-requests, python3-six Homepage: https://github.com/boto/boto3 Priority: optional Section: python Filename: pool/main/p/python-boto3/python3-boto3_1.2.2-2~nd90+1_all.deb Size: 63012 SHA256: be62f3877eb98cf49addaa5a7d172d734732d017847b7409c535a9d5e8723adc SHA1: 67796ff39c647a721621177e464106482c153e21 MD5sum: 30def32364ce1d68a3c7576a519b56c7 Description: Python interface to Amazon's Web Services - Python 3.x Boto is the Amazon Web Services interface for Python. It allows developers to write software that makes use of Amazon services like S3 and EC2. Boto provides an easy to use, object-oriented API as well as low-level direct service access. Package: python3-chardet Source: chardet Version: 3.0.4-1~nd90+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~nd90+1_all.deb Size: 80398 SHA256: a25188344adf67358f61fb5eb26526ca785d983ce8c885344c99537f1775a2a1 SHA1: a15590d8e2136ea8dbb4a81e965e64de92ea170f MD5sum: 774da3aa86fca8846825b8db32bc344a 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-citeproc Source: citeproc-py Version: 0.3.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 777 Depends: neurodebian-popularity-contest, python3, python3-lxml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python3-citeproc_0.3.0-1~nd90+1_all.deb Size: 81802 SHA256: 9771600798fda289f3bf331af6e87ce9b39eac0c38520bdf30f8c509457b82aa SHA1: 39ad5faaf9069dda3e4691ad8faa2e38b490e6bb MD5sum: eda798e4e44857e62a279e19dd0b3223 Description: Citation Style Language (CSL) processor for Python3 Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python 3 modules and the CLI tool csl_unsorted. Package: python3-click Source: python-click Version: 6.6-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 259 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-colorama Homepage: https://github.com/mitsuhiko/click Priority: optional Section: python Filename: pool/main/p/python-click/python3-click_6.6-1~nd90+1_all.deb Size: 56358 SHA256: 162328fade0769a4856ac664aef89035aeb10e4c7cab31b5f8fe36af8c87ad9c SHA1: 3a07ac556384ac610e400ad6881218f1ab408880 MD5sum: 210b61f9d4e0c057e2fb13974b4165fa Description: Simple wrapper around optparse for powerful command line utilities - Python 3.x Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box. . It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. . This is the Python 3 compatible package. Package: python3-contextlib2 Source: contextlib2 Version: 0.4.0-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://contextlib2.readthedocs.org/ Priority: optional Section: python Filename: pool/main/c/contextlib2/python3-contextlib2_0.4.0-3~nd90+1_all.deb Size: 8734 SHA256: 8208ef7d303412211e9f184a05a3ea1ab1b9b86e7a253cc9726d1baa98722aba SHA1: c1a2992ecf62af90c8a66f0725dee7c137bc924a MD5sum: 91c06b98f55387e4a1dbaa5948271c49 Description: Backport and enhancements for the contextlib module - Python 3.x contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. . It also serves as a real world proving ground for possible future enhancements to the standard library version. . This package contains the Python 3.x module. Package: python3-deprecation Source: python-deprecation Version: 1.0.1-1~nd90+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~nd90+1_all.deb Size: 8608 SHA256: ef4f6a0b8f64acdb45a3ca2f9e62d3f6c2054b51ced6d7f12022eb60739e28e0 SHA1: 188860922c8e0f86858f290a778b1784bd98da5d MD5sum: ba1c1646ddc835f260ada8f4d7f872ee 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-docker Source: python-docker Version: 1.7.2-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 150 Depends: neurodebian-popularity-contest, python3-requests (>= 2.5.3~), python3-six (>= 1.4.0), python3-websocket (>= 0.18.0~), python3:any (>= 3.3.2-2~) Homepage: https://github.com/dotcloud/docker-py/ Priority: optional Section: python Filename: pool/main/p/python-docker/python3-docker_1.7.2-1~bpo8+1~nd90+1_all.deb Size: 27192 SHA256: 1514f81cadf9e27df86f8efd915a4633f00da62f2169ac9e1abe0b1ded5e3728 SHA1: b54bcaa32178be14de689a4c73746f23177040ad MD5sum: 230b56a6fbb8191e5f54941d9c9a4c7c Description: Python 3 wrapper to access docker.io's control socket This package contains oodles of routines that aid in controling docker.io over it's socket control, the same way the docker.io client controls the daemon. . This package provides Python 3 module bindings only. Package: python3-dockerpty Source: dockerpty Version: 0.4.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-docker (>= 0.7.1) Homepage: https://github.com/d11wtq/dockerpty Priority: optional Section: python Filename: pool/main/d/dockerpty/python3-dockerpty_0.4.1-1~nd90+1_all.deb Size: 10974 SHA256: 8f1099481d5710591febbf4688436fe3d23f8d3f682170c8f1cb1d62c341bf09 SHA1: 4bb3811d3ee5699735c12f134eeae30a60533e0a MD5sum: 25c9325b671160d566541f1307998a7f Description: Pseudo-tty handler for docker Python client (Python 3.x) Provides the functionality needed to operate the pseudo-tty (PTY) allocated to a docker container, using the Python client. . This package provides Python 3.x version of dockerpty. Package: python3-duecredit Source: duecredit Version: 0.5.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 239 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_0.5.0-1~nd90+1_all.deb Size: 52866 SHA256: 9dfab4559b153400732bfd2ff4ca00092fda3ce600d349d2eebcb4d8de5da319 SHA1: 6e3dfed623f97243f0585a8553eb39a053817b9d MD5sum: 52f1d647ccf7789920374136357295da 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-fasteners Source: python-fasteners Version: 0.12.0-3~nd90+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~nd90+1_all.deb Size: 14682 SHA256: 255a03de7c74e021b4d5ad5de7e193ab40609feb752a55cd21d6b3e45bdf536f SHA1: 5515955cf2dc7c2df328dc8ca46f152c6870799a MD5sum: 70cfe53337a299d9bdea71e1fa1a2646 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~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 404 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, python3-six (>= 1.0~), python3-indexed-gzip, python3-numpy, python3:any (>= 3.3.2-2~) Priority: optional Section: python Filename: pool/main/f/fslpy/python3-fsl_1.2.2-2~nd90+1_all.deb Size: 84260 SHA256: 088ef2767d183c12a6055b231855694b256553b49344ef7926467994db491eee SHA1: 0a7f2f21fb5db3bf7e3077b96c4dc2901f6ba501 MD5sum: a5a6d539d29cb954120c5635a601eb6d Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: python3-funcsigs Source: python-funcsigs Version: 0.4-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-funcsigs-doc Homepage: http://funcsigs.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-funcsigs/python3-funcsigs_0.4-2~nd90+1_all.deb Size: 13072 SHA256: 1fab6e23175a30cda64b74fdcc94f8c070a1c8142f5d5507bc58a2130fc45182 SHA1: 3582e69a29ee738ec8b99857a9c6e7f2be5231b6 MD5sum: e43f270d56bcc63c81de299f76776c47 Description: function signatures from PEP362 - Python 3.x funcsigs is a backport of the PEP 362 function signature features from Python 3.3's inspect module. The backport is compatible with Python 2.6, 2.7 as well as 3.2 and up. . This package contains the Python 3.x module. Package: python3-future Source: python-future Version: 0.15.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1662 Pre-Depends: dpkg (>= 1.15.6~) Depends: neurodebian-popularity-contest, python3.5:any, python3:any (>= 3.3.2-2~) Suggests: python-future-doc Homepage: https://python-future.org Priority: optional Section: python Filename: pool/main/p/python-future/python3-future_0.15.2-1~nd90+1_all.deb Size: 346132 SHA256: 0b86fec70d0f5de4794a05779c5d7017892df211db0b07bcbfffdf898cfa36d2 SHA1: ecd64620aadfed37312d2fd64a242d66af3dc4d7 MD5sum: bc2756c27fbf3c290513779740efa42b Description: Clean single-source support for Python 3 and 2 - Python 3.x Future is the missing compatibility layer between Python 2 and Python 3. It allows one to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead. . The imports have no effect on Python 3. On Python 2, they shadow the corresponding builtins, which normally have different semantics on Python 3 versus 2, to provide their Python 3 semantics. . This package contains the Python 3.x module. Package: python3-git Source: python-git Version: 2.1.8-1~nd90+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~nd90+1_all.deb Size: 303570 SHA256: 385963610b1c937ae43a29a7610f4ec3e3d7ed7dbdd53a4756495342cfbdb3f3 SHA1: bdeb5fafb2cab24dce8a5953087386b9c9b28bc7 MD5sum: 6c196f893cba46069637df4adb3b5b7e 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-git-annex-adapter Source: git-annex-adapter Version: 0.0.0~pre1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 33 Depends: neurodebian-popularity-contest, git-annex (>= 6.20160726~) | git-annex-standalone (>= 6.20160726~), python3:any (>= 3.3.2-2~) Homepage: https://github.com/alpernebbi/git-annex-adapter Priority: optional Section: python Filename: pool/main/g/git-annex-adapter/python3-git-annex-adapter_0.0.0~pre1-1~nd90+1_all.deb Size: 6812 SHA256: d4c20feff6e01909159cb26182c1f0b4db93dd6ba3fc64e49d049789e465904f SHA1: db6a07d72a8fd5ae113fedf729221609b112d421 MD5sum: e133f7de11ae6d3eaca0b5175200d519 Description: call git-annex commands from within Python This is a minimalistic interface to git-annex. Commands are executed using subprocess and use their batch versions whenever possible. Package: python3-gitdb Source: python-gitdb Version: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 214 Depends: neurodebian-popularity-contest, python-smmap, python3-smmap, python3:any (>= 3.3.2-2~) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: python Filename: pool/main/p/python-gitdb/python3-gitdb_2.0.0-1~nd90+1_amd64.deb Size: 46146 SHA256: 7a9f98cf6a285be2191145f6da0f6747c522834501152ba4a0c222ba21433349 SHA1: cc37b0afc19879d607928b8ad691bd574d6f1df4 MD5sum: 3da4a3c6001fa5bec4e5fe6393b117b6 Description: pure-Python git object database (Python 3) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package for Python 3. Package: python3-gitdb-dbgsym Source: python-gitdb Version: 0.6.4-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 69 Depends: python3-gitdb (= 0.6.4-3~nd90+1) Homepage: https://github.com/gitpython-developers/gitdb Priority: extra Section: debug Filename: pool/main/p/python-gitdb/python3-gitdb-dbgsym_0.6.4-3~nd90+1_amd64.deb Size: 41278 SHA256: 5c2492a21f2c70133e1f7768344acd9832ba5c7e5b7b45c8135b878fb87d59ff SHA1: 49e53b34c2f3576f5f984de235bb8619bd21717a MD5sum: 5e6bf3f0dfaf9095eabb89c065094d6e Description: Debug symbols for python3-gitdb Auto-Built-Package: debug-symbols Build-Ids: 1e6490b00bed5aa3af727500f2512d1c875a2fad b0bec8fd665114e8f77cb6229556cab4e8312095 Package: python3-github Source: pygithub Version: 1.26.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 629 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Conflicts: python3-pygithub Replaces: python3-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python3-github_1.26.0-1~nd90+1_all.deb Size: 44850 SHA256: adef56e2e9a42ace8817e5fdd4e09e839f6df5cf1ef26ead71aaa9b193ced51c SHA1: ccede87e71f5115d4762cd8c978d25c374d80399 MD5sum: 09edf8a095604406d92a91307052ca7e Description: Access the full Github API v3 from Python3 This is a Python3 library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python3-humanize Source: python-humanize Version: 0.5.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://github.com/jmoiron/humanize Priority: optional Section: python Filename: pool/main/p/python-humanize/python3-humanize_0.5.1-2~nd90+1_all.deb Size: 12668 SHA256: 09e180429c6ce4e29725b5eba27eadb80b41aee505906744cb3402a9ac6e8fca SHA1: 426390f0559742af2e08fc87e1f4aaec1e5c8f59 MD5sum: c4749e78654afa0b8c5def4772b32583 Description: Python Humanize library (Python 3) This library proposes various common humanization utilities, like turning a number into a fuzzy human readable duration ('3 minutes ago') or into a human readable size or throughput. . This is the Python 3 version of the package. Package: python3-hypothesis Source: python-hypothesis Version: 3.6.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 411 Depends: neurodebian-popularity-contest Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python3-hypothesis_3.6.0-1~nd90+1_all.deb Size: 95344 SHA256: 2ba4aa1c656366d8c43ed8f6e435f59edcaa33c74fcc20f9bd4e592640b340c7 SHA1: 998609ea42c933f3a28a5e362873342dcff093a9 MD5sum: 9b2ea52a48f308605afc1692aab7b685 Description: advanced Quickcheck style testing library for Python 3 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 3 module. Package: python3-indexed-gzip Source: indexed-gzip Version: 0.6.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 867 Depends: neurodebian-popularity-contest, cython3, python3-numpy, libc6 (>= 2.14), zlib1g (>= 1:1.2.2.4), python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.3.2-2~) Provides: python3.5-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python3-indexed-gzip_0.6.1-1~nd90+1_amd64.deb Size: 268628 SHA256: 846999fd51f2d7532735cbce1e2ef0f472910437476b25c3890887645826f56d SHA1: 099ae57cc217183e58732114474fe266206dd58f MD5sum: e0e1c2cd3d0dd23978e067d1df43f506 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: 0.6.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 908 Depends: python3-indexed-gzip (= 0.6.1-1~nd90+1) Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: extra Section: debug Filename: pool/main/i/indexed-gzip/python3-indexed-gzip-dbgsym_0.6.1-1~nd90+1_amd64.deb Size: 824744 SHA256: d2dd436139f14e79e9729390c89b5482c4d152b2223014d713862c59faade7e7 SHA1: 9bc147a68d6a174b3c1c2c7b1b58c35c01dbf77d MD5sum: e0708515c2dbf2c54dbfb18c683c32d9 Description: Debug symbols for python3-indexed-gzip Build-Ids: 1e350aba92ef6bf1fdd58846bd4d70d766c65353 8edcf19ca70c20bbb5e9f23cc794f97cddb4a9a7 f3bf244eeb58deb1af77a96f18936fb5a521015c Package: python3-jdcal Source: jdcal Version: 1.0-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python3-jdcal_1.0-1~nd80+1+nd90+1_all.deb Size: 7518 SHA256: 509687fb7218b6ba604b6c6224a4274f12f43d040c9d85ee47157e8ebb9b8c9c SHA1: b0c638b1dff6c85861e5f9fe52c8418bb82de3a5 MD5sum: a9021e0701397e533368a236de8df6b3 Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python3-joblib Source: joblib Version: 0.11-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 500 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-pytest, python3-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.11-1~nd90+1_all.deb Size: 117570 SHA256: 6efbab7d375a4037b6e1ac74040320e96b5acaea0b13146021c5f00163c9d53c SHA1: 46a89f612154612e9aa575badbafa1541cb18646 MD5sum: fedb55b920ed2a1552e8b842ee9cb917 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-jsmin Source: python-jsmin Version: 2.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/tikitu/jsmin Priority: optional Section: python Filename: pool/main/p/python-jsmin/python3-jsmin_2.2.1-1~nd90+1_all.deb Size: 21584 SHA256: b5e894bae070a06891fbbea89398feea5c29037a52856180e9ffff4021e3e059 SHA1: bac3a23eb3b1d28abaf8550ad2400c9e0e155c5c MD5sum: b162868d60a3f514cfebf200165cfca9 Description: JavaScript minifier written in Python - Python 3.x Python-jsmin is a JavaScript minifier, it is written in pure Python and actively maintained. . This package provides the Python 3.x module. Package: python3-json-tricks Source: json-tricks Version: 3.11.0-1~nd90+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~nd90+1_all.deb Size: 18912 SHA256: ef38dc832d5f3ed5b05990d0ddb4b0f5a82fefe3945f8985ee5334316e791336 SHA1: 694bcc97565a684dbacf1e7698e898a53231264b MD5sum: ea72447001de012769d1d146ba02883e 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-lda Source: lda Version: 1.0.2-9~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1263 Depends: neurodebian-popularity-contest, python3 (<< 3.5), python3 (>= 3.4~), python3-numpy, python3-pbr, libc6 (>= 2.14) Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python3-lda_1.0.2-9~nd80+1+nd90+1_amd64.deb Size: 234188 SHA256: 464d2a27e97c9e0e7f094cb96db75d2500bf062b28f374a70f6acccd1f189261 SHA1: e7655ef742a0734a83255c21f1e0079708bbbac9 MD5sum: 01ec02b9770dec4389274a5b447b8752 Description: Topic modeling with latent Dirichlet allocation lda implements latent Dirichlet allocation (LDA) using collapsed Gibbs sampling. . This package contains the Python 3.x module. Package: python3-mdp Source: mdp Version: 3.5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1387 Depends: neurodebian-popularity-contest, python3-future, python3-numpy, python3:any (>= 3.3.2-2~), python-numpy, python-future Recommends: python3-pytest, python3-scipy, python3-joblib, python3-sklearn Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python3-mdp_3.5-1~nd90+1_all.deb Size: 275298 SHA256: c7ebf3dacb49fd9c33db382c47b6755564873fe4c73a86e5d3fece2171790014 SHA1: 820f14dd16401efa4797608ab93556fa5427c51d MD5sum: 3d9b7923dfecefc7392e1ad046309a1f Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 3. Package: python3-monotonic Source: python-monotonic Version: 1.1-2~nd90+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~nd90+1_all.deb Size: 5502 SHA256: 80ca570c1f5aeda087799dc89294c4753892b186d6f418d2f4791f3629811cfd SHA1: 0586d2e56b52f46ccf619c9998b207399de5e805 MD5sum: 1989f36b73777e8dcbe76f013b6a72de 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-mpi4py Source: mpi4py Version: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2737 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libopenmpi1.10, python3 (<< 3.6), python3 (>= 3.4~) Recommends: mpi-default-bin Suggests: python3-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python3-mpi4py_2.0.0-1~nd90+1_amd64.deb Size: 473610 SHA256: 7f4e6ce5e56f45e2e5bd71279505ead9617ca3dd6c5c856e6588aad901b594ba SHA1: 0826af2aa0704d1ddc4acbbd226cbe73c3231874 MD5sum: b7729a5eb5900556abd807d846b6a25f Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python3-mpi4py-dbg Source: mpi4py Version: 2.0.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 13078 Depends: neurodebian-popularity-contest, python3-mpi4py (= 2.0.0-1~nd90+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: debug Filename: pool/main/m/mpi4py/python3-mpi4py-dbg_2.0.0-1~nd90+1_amd64.deb Size: 2170296 SHA256: 0a5335ead45283d1d678f8844f5f280a618a8f102699fa47ffb22a0bc93409e5 SHA1: fd08d6b9c753ff3e885887bf2e1781246e9c611e MD5sum: 4137419cfb91fe910b9feac2ada86306 Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python3-msgpack Source: msgpack-python Version: 0.4.2-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 196 Depends: neurodebian-popularity-contest, python3 (<< 3.5), python3 (>= 3.4~), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python3-msgpack_0.4.2-1~nd80+1+nd90+1_amd64.deb Size: 53018 SHA256: 13e84893408a927f8b301123b841143c5926397976c7921ad803c3c21ba38c88 SHA1: b8e8facf8a22377b2cc517365d22146bfd7b22b9 MD5sum: c1fcb6de2378620f2aae0ce1f5a3d251 Description: Python 3 implementation of MessagePack format MessagePack is a binary-based efficient object serialization format. It enables the exchange of structured objects between many languages like JSON. But unlike JSON, it is very fast and small. . This package contains a Python 3 extension module implementing the MessagePack format. Package: python3-nibabel Source: nibabel Version: 2.2.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 64665 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_2.2.1-2~nd90+1_all.deb Size: 2206262 SHA256: 06256645a5effa7410f3726a8dd1d87069087050bb948bb778f21922150a8bd0 SHA1: ba52167fa4ee04f1bb4db694b29ec98d1fa02056 MD5sum: 344d100506cd041aeea123114e5a17f2 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-nilearn Source: nilearn Version: 0.2.5~dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2158 Depends: neurodebian-popularity-contest, python3-nibabel (>= 1.1.0), python3:any (>= 3.3.2-2~), python3-numpy (>= 1:1.6), python3-scipy (>= 0.9), python3-sklearn (>= 0.12.1) Recommends: python-matplotlib Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python3-nilearn_0.2.5~dfsg.1-1~nd90+1_all.deb Size: 685034 SHA256: cd294196a90cf05f9bc4b2c59a10e174985f9f4aa5a5b20e2707454ea002015c SHA1: 52f7b825b93ba326316e810a0032f829a3ad5f3a MD5sum: 49d7ab9930c57c029e334b747662e271 Description: fast and easy statistical learning on neuroimaging data (Python 3) This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. . This package provides the Python 3 version. Package: python3-nosexcover Source: nosexcover Version: 1.0.10-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, python3-coverage, python3-nose, python3:any (>= 3.3.2-2~), python-nose, python-coverage (>= 3.4) Homepage: http://pypi.python.org/pypi/nosexcover Priority: extra Section: python Filename: pool/main/n/nosexcover/python3-nosexcover_1.0.10-2~nd90+1_all.deb Size: 5190 SHA256: c647378e4ac68d6753801dde93798cd63acb59c1bb2d7edaddf8753a9883dc08 SHA1: 106e055cabc299003c29cc626e1c8c7f41c98c79 MD5sum: 75d7fb5666e53c4dd70cbb41a35601d5 Description: Add Cobertura-style XML coverage report to nose A companion to the built-in nose.plugins.cover, this plugin will write out an XML coverage report to a file named coverage.xml. . It will honor all the options you pass to the Nose coverage plugin, especially --cover-package. Package: python3-numexpr Source: numexpr Version: 2.6.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3:any (>= 3.3.2-2~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), 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~nd90+1_amd64.deb Size: 138300 SHA256: 2cc6a776e43062b7f43c1c1878140f34214b7f47a964da9e390deaf487c1deea SHA1: e93c42ceca520e30ee4eef7e30c8ef016da93545 MD5sum: 275af52020b325d1ec69cab2873825f2 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-dbg Source: numexpr Version: 2.6.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 287 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-dbg (<< 3.6), python3-dbg (>= 3.5~), python3-dbg:any (>= 3.2~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python3-numexpr (= 2.6.1-2~nd90+1), python3-numpy-dbg Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbg_2.6.1-2~nd90+1_amd64.deb Size: 110508 SHA256: 477c437946ed0c80fdd2948edd96072c4814df8cf666dc74149d6f907f6c9910 SHA1: de8eff268701d95525cbdf43dacaf9fdc184af94 MD5sum: 72c5ee2306cd48473ae7d83e0379264b Description: Fast numerical array expression evaluator for Python 3 and NumPy (debug ext) 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 the extension built for the Python 3 debug interpreter. Package: python3-numexpr-dbg-dbgsym Source: numexpr Version: 2.6.1-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 239 Depends: python3-numexpr-dbg (= 2.6.1-2~nd90+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbg-dbgsym_2.6.1-2~nd90+1_amd64.deb Size: 221466 SHA256: 5d1438c6666beec01d78cb68db857227752d3a4f73f8a55a2dc2cc6cf2e1b688 SHA1: a832af9566d37cc2c18da48cf0e0919cff71f83b MD5sum: b4d1334e48536e58717bfd667e63f62a Description: Debug symbols for python3-numexpr-dbg Auto-Built-Package: debug-symbols Build-Ids: ea626e98a00c7ec04cc5c0cda3310c3628b63dde Package: python3-numexpr-dbgsym Source: numexpr Version: 2.6.2-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 238 Depends: python3-numexpr (= 2.6.2-1~nd90+1) Homepage: https://github.com/pydata/numexpr Priority: extra Section: debug Filename: pool/main/n/numexpr/python3-numexpr-dbgsym_2.6.2-1~nd90+1_amd64.deb Size: 220942 SHA256: b63ee1a74c26785ccbfc6d003fa5abffb3455e24feb1a4e04c5f07a2cf7a8a7a SHA1: 67f1bdf12cd3543c8fca829f00dcf943a84081fd MD5sum: a1c6fc5cf52198678c4a212900376810 Description: Debug symbols for python3-numexpr Build-Ids: b0222a48959fa0e13b37b094c4c0fcde6b150426 Package: python3-openpyxl Source: openpyxl Version: 2.4.9-1~nd90+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~nd90+1_all.deb Size: 220772 SHA256: 26c658ee8624ca566cd2660373af6de1d8e5c2f8445bea945cd6b050d109116f SHA1: f102f72ca01102b56eca82e97e1e8662c9a375ad MD5sum: 6aaa97822f2c849d2ed9417aff0a2562 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-packaging Source: python-packaging Version: 16.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 85 Depends: neurodebian-popularity-contest, python3-pyparsing, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/packaging Priority: optional Section: python Filename: pool/main/p/python-packaging/python3-packaging_16.2-2~nd90+1_all.deb Size: 17270 SHA256: 1d3e30f82be2e97addff8b78bcc6505de87ba5a1b9d724259e7cf406739901d1 SHA1: adaba2f1a49b83f8af262406647ffa424ab72487 MD5sum: 6225df2547e50f3d13e80996b697ac7b Description: core utilities for python packages These core utilities currently consist of: - Version Handling (PEP 440) - Dependency Specification (PEP 440) Package: python3-pandas Source: pandas Version: 0.22.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26939 Depends: neurodebian-popularity-contest, python3-dateutil, python3-numpy (>= 1:1.7~), python3-tz, python3:any (>= 3.3.2-2~), python3-pandas-lib (>= 0.22.0-2~nd90+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: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.22.0-2~nd90+1_all.deb Size: 2779346 SHA256: 6116a59c50bcaa13e6a462204e9b1944fc02a5de9717fd124ca3457b8d88cf52 SHA1: fe4f3f510a1a01ec912a81c29e4f395b514cfb37 MD5sum: 81b51b0223d3088936ec8ebffad18340 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: 0.22.0-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 12635 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.2~) Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas-lib_0.22.0-2~nd90+1_amd64.deb Size: 2965310 SHA256: 7f55e7ada7050e6394d2f5bf15727d46c22ed15ae12ae77ef993206533bb1b5f SHA1: 6d6488219a60e0fe347947ea1d6326df9be74fd4 MD5sum: 8fcd80cef35270dbfb0a9b5cd38fabd1 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: 0.22.0-2~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14211 Depends: python3-pandas-lib (= 0.22.0-2~nd90+1) Homepage: http://pandas.sourceforge.net Priority: extra Section: debug Filename: pool/main/p/pandas/python3-pandas-lib-dbgsym_0.22.0-2~nd90+1_amd64.deb Size: 12968282 SHA256: 11927219004657b4b0c7e2ee0946cf1084eb5e54cd83c7a9126c88e6c4abb153 SHA1: f5d527e0e8dd19237f4dbb5f9ead2757d1bb4515 MD5sum: 364a013812080832b561a11ebef93618 Description: Debug symbols for python3-pandas-lib Build-Ids: 1b6ee05eb6655da314b7603cf94431e560fed0e9 217502ee5a6fea27fdb081384ea2ffe37553b5cb 2369c27ff89d832fd3c6e46ab277a7df07e2d36f 242c2e33f421afd2977fcc0ae484bf82d4f1152a 44b7d09eac473ba13d03b900f227ee5fb49316d0 531a1c6e4719e5d6b3c56279ae24436c8e0a788f 5e68375931721f8b39dfd96851407761b90becec 7204a71bef658dcd2d42a7a9dc673cfaf570d499 7808e942bc6808ddc2920ac94232c18b2d161c80 79efe8215fdd061719e4105c8f525f09e1d84e85 7daa5aee40c752fc5e9584f0821c7aab83147d5d 812354693d760db8f73bebe9596e21827e491ff7 89e9b3f71ee756eb29f312acc612123840c4ec72 95378c2b08bf7c41b7493c111b2a8952463aea92 9e715350ae39798c2fe588e94dee07864a925342 9f092273c336f9a9d2eb20e60d5cc7ce0a133524 aa4387b0b2c57fc0cbb0aaffb97a1cd85d0025ac b7732b618f81f56ac619ba6808d7064f96b20fbb bafe175eeb023fb8707ed7d25c0222e9c52a55b3 c0058d77cfeddd4c2e3efbece23fd43f8ea0a0cf c23e27ff62a1e89e26a61d9e3a22a9afb0d00aa8 d4e11142b3ed1c30c0701a8dfad9ffa7ad14afd9 e4f6f445faea2fd736a0de3baf49e644605e6c41 e82fa57a9e60a8a4b306a9674f5b7d350166484d e91c34e442c1253ff34b958448cfea14d04cf832 f94f042331685b5149c1db7600376cca94c4fee4 ff0312a76c218b1b9753b5508040d2407f9062ae Package: python3-patsy Source: patsy Version: 0.4.1+git34-ga5b54c2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 782 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.4.1+git34-ga5b54c2-1~nd90+1_all.deb Size: 171558 SHA256: 11a7e347a1903c5e6a25e5d525e1b383b3a6c265e5d85472c53767942f936a81 SHA1: 07cd7a343f58cc23322ba4610a355370338e5b4f MD5sum: 35fcf320f1b8f3b032d4cef1c41f1402 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 3 version. Package: python3-pkg-resources Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 412 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-setuptools Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python3-pkg-resources_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 111984 SHA256: ff495c488e006e970fd767a609480ba382b1e883d43ff51dbb558b685f9babe8 SHA1: 0e8948fffef6018add11d6297b0a2166a05696dd MD5sum: b67348d5d6aa30552514e9bb69dd2b8b Description: Package Discovery and Resource Access using pkg_resources The pkg_resources module provides an API for Python libraries to access their resource files, and for extensible applications and frameworks to automatically discover plugins. It also provides runtime support for using C extensions that are inside zipfile-format eggs, support for merging packages that have separately-distributed modules or subpackages, and APIs for managing Python's current "working set" of active packages. Package: python3-prov Source: python-prov Version: 1.5.0-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1951 Depends: neurodebian-popularity-contest, python3-dateutil, python3-lxml, python3-networkx, python3-rdflib (>= 4.2.1), python3-six (>= 1.9.0), python3:any (>= 3.3.2-2~) Suggests: python-prov-doc, python3-pydotplus Homepage: https://github.com/trungdong/prov Priority: optional Section: python Filename: pool/main/p/python-prov/python3-prov_1.5.0-1+nd1~nd90+1_all.deb Size: 100794 SHA256: bcbe55b2986d76ae6894aa5dc88dd3cfdc90cd9666df015e8803d4da96f46373 SHA1: 8e4c937a2e7e54ff2cc55527688936c005498bdf MD5sum: 76b597e7809e0534a8c5be8171a40a21 Description: W3C Provenance Data Model (Python 3) A library for W3C Provenance Data Model supporting PROV-JSON and PROV- XML import/export. . Features: - An implementation of the W3C PROV Data Model in Python. - In-memory classes for PROV assertions, which can then be output as PROV-N. - Serialization and deserializtion support: PROV-JSON and PROV-XML. - Exporting PROV documents into various graphical formats (e.g. PDF, PNG, SVG). . This package provides the prov library for Python 3. Package: python3-psutil Source: python-psutil Version: 2.1.1-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 263 Depends: neurodebian-popularity-contest, libc6 (>= 2.13), python3 (<< 3.5), python3 (>= 3.4~) Homepage: http://code.google.com/p/psutil/ Priority: optional Section: python Filename: pool/main/p/python-psutil/python3-psutil_2.1.1-1~nd80+1+nd90+1_amd64.deb Size: 60008 SHA256: 9b09890376fbcd403275efef346c5787cb0be2b20181532aa05e42bbad9888af SHA1: e9b7baa1e55ed43523b57c7bab9ff89445cb1395 MD5sum: 029caf0aa88a6a62c5124329004c075a Description: module providing convenience functions for managing processes (Python3) psutil is a module providing an interface for retrieving information on running processes and system utilization (CPU, memory) in a portable way by using Python, implementing many functionalities offered by tools like ps, top and Windows task manager. . It currently supports Linux, OS X, FreeBSD and Windows. . This package contains the Python 3 version of psutil. Package: python3-py Source: python-py Version: 1.4.31-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Suggests: subversion, python3-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python3-py_1.4.31-2~nd90+1_all.deb Size: 82252 SHA256: 3837b3387371e1325ce35cc0fa5cf1325c87f88c71a480b4f76dfa37f7ebb61b SHA1: d9fa52b1621846f1aed6f203f7decebadf51e150 MD5sum: e73a5b437a79a15cb2c16602b6f6d513 Description: Advanced Python development support library (Python 3) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 3 modules. Package: python3-pydot Source: pydot Version: 1.2.3-1.1~nd90+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~nd90+1_all.deb Size: 21384 SHA256: 967488b4d5ee698464e32c7b85790f4d78e7ed665edd66a9101323e2e648a6b0 SHA1: fddacc1bbce427f36a190ec2d9137936f1993340 MD5sum: 6c39d28441cdd7baa23040936fe7f787 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-pydotplus Source: python-pydotplus Version: 2.0.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, graphviz, python3-pyparsing (>= 2.0.1), python3:any (>= 3.3.2-2~) Suggests: python-pydotplus-doc Homepage: http://pydotplus.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-pydotplus/python3-pydotplus_2.0.2-2~nd90+1_all.deb Size: 20404 SHA256: 12b704739898d2b193ea277558eecd60096a3c3c5aa9331d21e29e9b2f06d17c SHA1: 31c368d195fcb20d56170859e6ce08e80c6c3128 MD5sum: b0e795a1f78fe6a82ff9df31a89b04c5 Description: interface to Graphviz's Dot language - Python 3.x PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz's Dot language. . Differences with pydot: * Compatible with PyParsing 2.0+. * Python 2.7 - Python 3 compatible. * Well documented. * CI Tested. . This package contains the Python 3.x module. Package: python3-pygraphviz Source: python-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 393 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.3.2-2~), libc6 (>= 2.14), libcdt5, libcgraph6, graphviz (>= 2.16) Suggests: python-pygraphviz-doc Homepage: https://pygraphviz.github.io/ Priority: optional Section: python Filename: pool/main/p/python-pygraphviz/python3-pygraphviz_1.3.1-1~nd90+1_amd64.deb Size: 74208 SHA256: 6976afcd06527850cb5cb79d7bf6894b004ebb6093a596ef909fb92e22e92d06 SHA1: 9c76ac3b5b668089473de68c170d187e9be4a77e MD5sum: 4607aa7d7e4f7b41798d80e21e83a65b Description: Python interface to the Graphviz graph layout and visualization package (Python 3) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains the Python 3 version of python-pygraphviz. Package: python3-pygraphviz-dbg Source: python-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 309 Depends: neurodebian-popularity-contest, python3-pygraphviz (= 1.3.1-1~nd90+1), python3-dbg, libc6 (>= 2.14), libcdt5, libcgraph6 Homepage: https://pygraphviz.github.io/ Priority: extra Section: debug Filename: pool/main/p/python-pygraphviz/python3-pygraphviz-dbg_1.3.1-1~nd90+1_amd64.deb Size: 113158 SHA256: 455fd2e109de35d5e59ee1e9cef4a8a4ffbaa572b961219e43747b318326713f SHA1: cbc709b9409fe3bbafb25ce6a699f0106e182980 MD5sum: e38546e9c118686980bb415faa06a766 Description: Python interface to the Graphviz graph layout and visualization package (py3k debug extension) Pygraphviz is a Python interface to the Graphviz graph layout and visualization package. . With Pygraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. . This package contains the debug extension for python3-pygraphviz. Build-Ids: 7d50c8a87011eda56b077feee168d5fa50943389 Package: python3-pytest Source: pytest Version: 3.0.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 648 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3-py (>= 1.4.29), python3:any (>= 3.3.2-2~) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python3-pytest_3.0.4-1~nd90+1_all.deb Size: 181274 SHA256: 5de0aec6918d800e1fd43359797f7fdaea2328282c95786d98259316b74cc730 SHA1: 4a843351dbcc71a320c1e783274d895486c944aa MD5sum: 6f74b0bcff928378445733f6219e8b06 Description: Simple, powerful testing in Python3 This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the Python 3 module and the py.test-3 script. Package: python3-pytest-localserver Source: pytest-localserver Version: 0.3.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python3-pytest, python3-werkzeug (>= 0.10), python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/pytest-localserver Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python3-pytest-localserver_0.3.4-1~nd90+1_all.deb Size: 18238 SHA256: ae2dc72d9a97c9d8d71bbc222a18030530c065e0bf309bbbda1844271195fabb SHA1: 4d9501a6f30c0c709c453e1d98464bd1f8131b54 MD5sum: 8c29f136aad81be7440f9ab8fcdfc5dc Description: py.test plugin to test server connections locally (Python 3) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 3. Package: python3-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, python3-pytest, python3-tornado, python3:any (>= 3.3.2-2~) Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python3-pytest-tornado_0.4.4-1~nd90+1_all.deb Size: 5734 SHA256: 8ab0046915b5cf9640e19a16d43ce44f498fd01fb0a365be49c8aaa1c30ef57a SHA1: c81514d37073e109155141a339b73c41e2b1e7fa MD5sum: 6955e8fad9eb8dcc0b1a8e6690a1f171 Description: py.test plugin to test Tornado applications (Python 3) pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 3 code. Package: python3-rdflib Source: rdflib Version: 4.2.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1252 Depends: neurodebian-popularity-contest, python3-isodate, python3-pyparsing, python3:any (>= 3.3.2-2~) Recommends: python3-sparqlwrapper (>= 1.7.6~), python3-html5lib Suggests: python-rdflib-doc Homepage: https://github.com/RDFLib/rdflib Priority: optional Section: python Filename: pool/main/r/rdflib/python3-rdflib_4.2.1-2~nd90+1_all.deb Size: 252048 SHA256: 39321bf2e157ff159e678dc88f5d9ec33ae39227bbc2edd36e2a7a53c6b3aca1 SHA1: 486b9dc0cd690b9429e4f6eda3b8805d3a7cb993 MD5sum: 98f485c529ef6f33f6172464f9c1eae5 Description: Python 3 library containing an RDF triple store and RDF parsers/serializers RDFLib is a Python library for working with the RDF W3C standard. The library contains RDF parsers/serializers and both in-memory and persistent Graph backend. . This package contains the Python 3 version of RDFLib. Package: python3-requests Source: requests Version: 2.8.1-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python3-urllib3 (>= 1.12), python3:any (>= 3.3.2-2~), ca-certificates, python3-chardet Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://python-requests.org Priority: optional Section: python Filename: pool/main/r/requests/python3-requests_2.8.1-1~bpo8+1~nd90+1_all.deb Size: 67940 SHA256: 43927328370c4444f71d4510e56db1e965b112fc1428eaf0d78ea34ba4601381 SHA1: 9764b391ab8de24268e61c77a6c84bf06addc025 MD5sum: 2d69be367bff3ee349de9829c62671c2 Description: elegant and simple HTTP library for Python3, built for human beings Requests allow you to send HTTP/1.1 requests. You can add headers, form data, multipart files, and parameters with simple Python dictionaries, and access the response data in the same way. It's powered by httplib and urllib3, but it does all the hard work and crazy hacks for you. . Features . - International Domains and URLs - Keep-Alive & Connection Pooling - Sessions with Cookie Persistence - Browser-style SSL Verification - Basic/Digest Authentication - Elegant Key/Value Cookies - Automatic Decompression - Unicode Response Bodies - Multipart File Uploads - Connection Timeouts . This package contains the Python 3 version of the library. Package: python3-rpaths Source: python-rpaths Version: 0.13-1~nd90+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~nd90+1_all.deb Size: 14200 SHA256: b9d4c0a3772a3ed5f8fc0348ad644bed725d4821a3c0cc53f4201c93dfcfd094 SHA1: 76a0c9314a342946d8d0b24e20f8391cdfdabab3 MD5sum: 9f34a390331524cd57f3776da3ff581e 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-seaborn Source: seaborn Version: 0.7.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 766 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-pandas, python3-matplotlib Recommends: python3-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python3-seaborn_0.7.1-2~nd90+1_all.deb Size: 128260 SHA256: 3ae4607fd3634bf9f7ce534dab326ab37dc84945ee418fa33d3ebf01abf82713 SHA1: ea4143ab8d4c48a2b99a7453604be6b783455f57 MD5sum: 6c7f2f2cad4b2c31a973a7ddb0affffe Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 3 version of the package. Package: python3-setuptools Source: python-setuptools Version: 20.10.1-1.1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 431 Depends: neurodebian-popularity-contest, python3-pkg-resources (= 20.10.1-1.1~bpo8+1~nd90+1), python3:any (>= 3.3.2-2~) Suggests: python-setuptools-doc Homepage: https://pypi.python.org/pypi/setuptools Priority: optional Section: python Filename: pool/main/p/python-setuptools/python3-setuptools_20.10.1-1.1~bpo8+1~nd90+1_all.deb Size: 121936 SHA256: b458e8cb77f28361540be6a5b849e215223dead5eb4dfdcc079f0841317dc526 SHA1: ec920053b9f88e95dcb5df9574fba18cbb06cc8a MD5sum: d7b17b365b42d08807a5da9cf6a4f6aa Description: Python3 Distutils Enhancements Extensions to the python-distutils for large or complex distributions. Package: python3-setuptools-scm Source: setuptools-scm Version: 1.8.0-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 49 Depends: neurodebian-popularity-contest Homepage: https://github.com/pypa/setuptools_scm Priority: optional Section: python Filename: pool/main/s/setuptools-scm/python3-setuptools-scm_1.8.0-1~bpo8+1~nd90+1_all.deb Size: 11508 SHA256: 2730e344dba8d1a2aba862116e1a7f04401a3d60f55c7b3711a0f38eab6d9e9c SHA1: a3d1c80be76a5d5707c55d8dfcbb9151c5d1bbc1 MD5sum: 2ebfe54cfd23e1c418056e26342aff1e Description: blessed package to manage your versions by scm tags for Python 3 setuptools_scm handles managing your Python package versions in scm metadata. It also handles file finders for the suppertes scm's. . This package installs the library for Python 3. Package: python3-six Source: six Version: 1.10.0-3~bpo8+1~nd90+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~nd90+1_all.deb Size: 14734 SHA256: 7750d1c60e1556f2f59c793f67e1c5b06a4597310a8cff14d786ddc4c4c2424e SHA1: a624eeb79db30001331a0d0ce04aad4c516a1821 MD5sum: 29fa8028f32ebbff045c963949b05e71 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-sklearn Source: scikit-learn Version: 0.19.1-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7019 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.19.1-3~nd90+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_0.19.1-3~nd90+1_all.deb Size: 1456318 SHA256: 44b66e6011501167b1dbf1cf2eaa071790503d63da044077d3b7de0a107c82c9 SHA1: 24589dfa9fc3499ace61bf9a4d0324fae8bda840 MD5sum: 5839c7a4de45c191994c20b870961074 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: 0.19.1-3~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 6189 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python3-sklearn-lib_0.19.1-3~nd90+1_amd64.deb Size: 1461298 SHA256: 7b8c0d93ef02efe45bd41c79ca0c4c2a0d80f18eb563c34b9f7e0e5dc886641a SHA1: 338bc0c67232c323dad88b921b59dbeae7391da1 MD5sum: b188ca65a90d4453828c3c786f427c77 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: 0.19.1-3~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 7060 Depends: python3-sklearn-lib (= 0.19.1-3~nd90+1) Homepage: http://scikit-learn.sourceforge.net Priority: extra Section: debug Filename: pool/main/s/scikit-learn/python3-sklearn-lib-dbgsym_0.19.1-3~nd90+1_amd64.deb Size: 6179976 SHA256: edbc81b2d74fcf10ff3c76e086f776ea320106b5579ae2c52fc1cf963215ac36 SHA1: b197ffd31add5b6074ba95b3c8d148e001cff233 MD5sum: c13306676d9b141de202adf3e3b3c6b0 Description: Debug symbols for python3-sklearn-lib Build-Ids: 0aede9d3da01503d812d4a6ff57fdd9ff79c1274 1b06b6dcdec2c9a92f0c5ceeba45025bc06f27ea 1b2b4d45efcaf2391a0fbae7b87a31d9b2046602 294cacc8d063a754a1d315c3b6948d8534d6e7fc 2d695b08469d6e4237f897ba468675218ebe92c7 339273ec98d9058b09bf5f91ea9262b64093bea1 366acd537ffbe82507c75cc7663a690e46cedb93 3c6d42f8123ab90813b46ba575ca9d4f6f9a8fdc 43ca4f21bab2702e16e61a6c928d7be58dde435c 4b45be6ddd662b1132c70b3e8950917dfbfc2743 4dba56ffda3b0f2362345ae8fd1162f4b5669cb4 511765079a0c5591a821f7bc097916fc87c569f2 553646f0cda9ce34b1f7e3aeb8902a8ee9ae556c 5f57dd8be25159fd28653afab7a345d15c6337d4 6ad2501af5f29c7b83dafc2bc3dd92e032d292b0 6b2b431f2c1590fd6d31d3f215b17da1186fea6f 86242170c4e5c7681e7b067449610ad65f6e149c a8fe690139ae92e6086ee0e67d25b3ed27c57812 aa0c2c254a89bddc43e693a5f6a01f7f598687b6 aaa0e4121d493b71aa117249d0b27d21b8108b6a aae024dd97746809728863b31d79655871297cdd ab05be05244f2489c676a35e9ed57c0b8a060727 ab3a322b239057a8e46b11cf723a8b5414aead28 af396a5cc11f91f221eb333159965ea08128f0c6 b2438c9465f7d52801a325b0bf021cbf3e844757 b6f8b12064be3c27cb7db9ae7eaac6683ee10abf be1b4937f721a0f3ad958a7dba03fc278f944c49 c82e34a201d67b2ea00fef46afa74deb6fd0274a c9283f692d052416560143dc0159bfa76c468bb2 cc8123b6c28b9bb747fdd2463738fd1238cfcc99 d30c802c6424a4008a4ec66eedd602883f699cd9 d5114bf56100343a62146c99ff5d543ccc199967 e8e5313b1c06ce875ad7efde31141a619ffd988e f164ade362ef04bfa0ea812e9a4181d070919a34 f722d8715c4e79558630cbd63e2be051ea357c14 f91d4c46319f925b8937d4b60086954dec6525aa f9704bd1d2a7f773fcb155b9154f561cdf46a9d5 fb8956701d02ca0a59de3068a6fac45d00c31ab8 fcda0272a0ed8afd4649555d92f547a8efeca812 fefded1fb73145ba7f1ed253afb7bda0cb70b492 Package: python3-smmap Source: python-smmap Version: 2.0.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-nose Homepage: https://github.com/Byron/smmap Priority: extra Section: python Filename: pool/main/p/python-smmap/python3-smmap_2.0.1-1~nd90+1_all.deb Size: 20128 SHA256: e5dee063d91ac292f90831a3b5181820a6e8c4f57b85203ac4a8c36a5ffad5b1 SHA1: ec6672729b868ff5e661a9d926764e5ff8d755d0 MD5sum: eba7765fdb8a608c2f63f32e4f8c6778 Description: pure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 3. Package: python3-sparqlwrapper Source: sparql-wrapper-python Version: 1.7.6-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python3-rdflib, python3:any (>= 3.3.2-2~) Homepage: http://rdflib.github.io/sparqlwrapper/ Priority: optional Section: python Filename: pool/main/s/sparql-wrapper-python/python3-sparqlwrapper_1.7.6-3~nd90+1_all.deb Size: 22592 SHA256: f688daeaa6142b5d9fe374c24c7da3dd79894b7680a79f7e71852b112a299b2c SHA1: 05cb34c3982bf12a86089c1689ae00bfbb935ad6 MD5sum: a2f17b41b96a4fa8f38fcdd857dd807f Description: SPARQL endpoint interface to Python3 This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format. . This is the Python 3 version of the package. Package: python3-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 359 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python3:any (>= 3.3.2-2~) Recommends: python3-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python3-sphinx-rtd-theme_0.1.8-1~nd90+1_all.deb Size: 117208 SHA256: 16750e72490dfd83a69334d631b79056b547727b706529f6eb8eb2d1fbca5443 SHA1: 0f30cc73b8863ed74a3e4aa8ac6e2ba911bfff3b MD5sum: bd47026d57bfab7cdccbd9a6f3211976 Description: sphinx theme from readthedocs.org (Python 3) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 3 version of the package. Package: python3-sympy Source: sympy Version: 1.1.1-4~nd90+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~nd90+1_all.deb Size: 2575114 SHA256: 1443d46aa0567202bbf4b47fdf9063742872046551a4ed71620313d3dd7281b5 SHA1: a070c80664a50ef29e03f25faa2acebf892b6ba5 MD5sum: b1432d149e615d6a4cd5a9d3a2356be4 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-tables Source: pytables Version: 3.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2791 Depends: neurodebian-popularity-contest, python3-numpy, python3-numexpr, python3:any (>= 3.3.2-2~), python3-tables-lib (>= 3.2.1-1~nd90+1), python3-tables-lib (<< 3.2.1-1~nd90+1.1~), python-tables-data (= 3.2.1-1~nd90+1) Suggests: python-tables-doc, python-netcdf, vitables Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python3-tables_3.2.1-1~nd90+1_all.deb Size: 334588 SHA256: e7ed085c96cfd227c9cc95eebc50aeffe52a4c1ed7c7b58f5bff63e6621b8625 SHA1: 02e6c841145e979f6f500de3a160740e6ce03577 MD5sum: 4d9654daf36f879161599612f3df2460 Description: hierarchical database for Python3 based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 3 version of the package. Package: python3-tables-dbg Source: pytables Version: 3.2.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1570 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3-dbg (<< 3.5), python3-dbg (>= 3.4~), libbz2-1.0, libc6 (>= 2.14), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1, zlib1g (>= 1:1.1.4), python3-tables (= 3.2.1-1~nd90+1), python3-tables-lib (= 3.2.1-1~nd90+1), python3-numpy-dbg, python3-numexpr-dbg Suggests: python-tables-doc, python-netcdf Homepage: http://www.pytables.org Priority: extra Section: debug Filename: pool/main/p/pytables/python3-tables-dbg_3.2.1-1~nd90+1_amd64.deb Size: 467632 SHA256: 552005f75cc618389620246bda09aa63bdf07a27e1173827b38d79840c99fc15 SHA1: a22eb0b8e89baff1b962c83a0eb5fd6070cb58e1 MD5sum: 63c9d5576454f9c78faba3eee79d9efb Description: hierarchical database for Python 3 based on HDF5 (debug extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 3 debug interpreter. Package: python3-tables-lib Source: pytables Version: 3.2.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1326 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.5), python3 (>= 3.4~), libbz2-1.0, libc6 (>= 2.14), libhdf5-8, liblz4-1 (>= 0.0~r113), liblzo2-2, libsnappy1, zlib1g (>= 1:1.1.4) Recommends: python3-tables (= 3.2.1-1~nd90+1) Breaks: python3-tables (<< 3.0.0-3) Replaces: python3-tables (<< 3.0.0-3) Homepage: http://www.pytables.org Priority: optional Section: python Filename: pool/main/p/pytables/python3-tables-lib_3.2.1-1~nd90+1_amd64.deb Size: 367938 SHA256: d5f698937a4eaf5c1ff5de438e874a493bd1150f10d162b123def73310c50ab5 SHA1: 32d216540d22928262fc50658e3a369979dd6596 MD5sum: f111472acebbfa97b5ac57e148b33d8f Description: hierarchical database for Python3 based on HDF5 (extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 3 interpreter. Package: python3-tqdm Source: tqdm Version: 4.11.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 181 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/tqdm/tqdm Priority: optional Section: python Filename: pool/main/t/tqdm/python3-tqdm_4.11.2-1~nd90+1_all.deb Size: 49944 SHA256: cb3dcf3779f2af5d373ec11e02397f1d70bbbea7663784db2420d17d5eb908a2 SHA1: 075fbd0ec84fa3b32c84ef2b6879f56d6d658fd6 MD5sum: c064aa4f2b4be341aa9027c82bc77595 Description: fast, extensible progress bar for Python 3 and CLI tool tqdm (read taqadum, تقدّم) means “progress” in Arabic. tqdm instantly makes your loops show a smart progress meter, just by wrapping any iterable with "tqdm(iterable)". . This package contains the Python 3 version of tqdm and its command-line tool. Package: python3-tz Source: python-tz Version: 2012c-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 Depends: neurodebian-popularity-contest, tzdata, python3:any (>= 3.3.2-2~) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python3-tz_2012c-1~nd70+1+nd90+1_all.deb Size: 25318 SHA256: f3b641a1dccf7188209fbbd4b68c9462e4cfc35e8c371603ac02a451676c132e SHA1: 04ab5dc0076b526b09c4b1ae563c20f70636fba2 MD5sum: 34437b0794a75cccfcbca371eb5db224 Description: Python3 version of the Olson timezone database python-tz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo). . This package contains the Python 3 version of the library. Package: python3-urllib3 Source: python-urllib3 Version: 1.12-1~bpo8+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 254 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-six Recommends: ca-certificates Suggests: python3-ndg-httpsclient, python3-openssl, python3-pyasn1 Homepage: http://urllib3.readthedocs.org Priority: optional Section: python Filename: pool/main/p/python-urllib3/python3-urllib3_1.12-1~bpo8+1~nd90+1_all.deb Size: 65466 SHA256: bbb44abbce94bdc29c3ceab0218941d63180e4a2f96aaf045b76226cf2f1dbee SHA1: ad6a46b318f4b457f86958a7480f14b581a6ec50 MD5sum: 382074cc1ff3d1bb638d14595df0d213 Description: HTTP library with thread-safe connection pooling for Python3 urllib3 supports features left out of urllib and urllib2 libraries. . - Re-use the same socket connection for multiple requests (HTTPConnectionPool and HTTPSConnectionPool) (with optional client-side certificate verification). - File posting (encode_multipart_formdata). - Built-in redirection and retries (optional). - Supports gzip and deflate decoding. - Thread-safe and sanity-safe. - Small and easy to understand codebase perfect for extending and building upon. . This package contains the Python 3 version of the library. Package: python3-vcr Source: vcr.py Version: 1.7.3-1.0.1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 157 Depends: neurodebian-popularity-contest, python3-six (>= 1.5), python3-wrapt, python3-yaml, python3:any (>= 3.3.2-2~) Homepage: https://github.com/kevin1024/vcrpy/ Priority: optional Section: python Filename: pool/main/v/vcr.py/python3-vcr_1.7.3-1.0.1~nd90+1_all.deb Size: 43596 SHA256: d4eb47e29c624f66b0e2cf6d0c3d30a7ab13e0fb50d30735693c46e38bc7f5b7 SHA1: ef87422db4cbcb229e68dce4c080ee274210421e MD5sum: 786cfa64706c4543ce3dcaf15b5e1a4b Description: record and replay HTML interactions (Python3 library) vcr.py records all interactions that take place through the HTML libraries it supports and writes them to flat files, called cassettes (YAML format by default). These cassettes could be replayed then for fast, deterministic and accurate HTML testing. . vcr.py supports the following Python HTTP libraries: - urllib2 (stdlib) - urllib3 - http.client (Python3 stdlib) - Requests - httplib2 - Boto (interface to Amazon Web Services) - Tornado's HTTP client . This package contains the modules for Python 3. Package: python3-w3lib Source: python-w3lib Version: 1.11.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 59 Depends: neurodebian-popularity-contest, python3-six (>= 1.6.1), python3:any (>= 3.3.2-2~) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python3-w3lib_1.11.0-1~nd90+1_all.deb Size: 14190 SHA256: 936b5cf9912553d27c7f1f2995ad57113ae0d0e50748a86b8b34d94a95210adb SHA1: c323083c3fd7909615fd05c74cf34df27c849b99 MD5sum: eabd0e00c9049ae6861823d2a2f35e24 Description: Collection of web-related functions for Python (Python 3) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 3 version of the package. Package: python3-werkzeug Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 765 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), libjs-jquery Recommends: python3-simplejson | python3, python3-openssl, python3-pyinotify Suggests: ipython3, python3-pkg-resources, python3-lxml, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python3-werkzeug_0.10.4+dfsg1-1~nd90+1_all.deb Size: 165550 SHA256: baff81afd62f70d40a88d0730c28c741d896df6817923fc5c1c750b479ad7f7f SHA1: e64561b10bba46f959268074a0f6591208c7c5b9 MD5sum: 4831b3c44099af4fb3c32d574576b5a4 Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python3-whoosh Source: python-whoosh Version: 2.7.4+git6-g9134ad92-1~nd90+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~nd90+1_all.deb Size: 290788 SHA256: a575aabe1834e6e10910cb4c3560b87784f3c1c7327df9900b8ce07ec030789d SHA1: 76d1cfb92746142f7e8ac9ffd828d975f29df5f3 MD5sum: 618172f0d57ed3614d5b8a309c1bb682 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, python3-six, python3 (<< 3.6), 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~nd90+1_amd64.deb Size: 31946 SHA256: 23c017a3b6d631631485ab2f3c8684f2be5d28e0c5a7897e0a20ab875ececb87 SHA1: e50712eb4d60f1cdde4a0cbc220f678351c4a1e8 MD5sum: 4f362dc9a23d088ad7b5a3e9df03d6e5 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~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 54 Depends: python3-wrapt (= 1.9.0-4~nd0~nd90+1) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: extra Section: debug Filename: pool/main/p/python-wrapt/python3-wrapt-dbgsym_1.9.0-4~nd0~nd90+1_amd64.deb Size: 31536 SHA256: fd394ceec1b476aa9402d7c43bbd8c45a255bf291a9366c23c96fe4a5fecf8f0 SHA1: 0c185c89447b2a0ec0061bfafc080a65fbcb4de5 MD5sum: 341234b6e13f7f89592449eedaaf97ac Description: Debug symbols for python3-wrapt Build-Ids: 172659ce11c99cacfd87e305e0ea461932980a7c Package: qnifti2dicom Source: nifti2dicom Version: 0.4.9-1~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3283 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgdcm2.4, libinsighttoolkit4.6, libqt5core5a (>= 5.0.2), libqt5gui5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 4.9), libvtk6.1, nifti2dicom (= 0.4.9-1~nd80+1+nd90+1), nifti2dicom-data (= 0.4.9-1~nd80+1+nd90+1) Homepage: https://github.com/biolab-unige/nifti2dicom Priority: optional Section: science Filename: pool/main/n/nifti2dicom/qnifti2dicom_0.4.9-1~nd80+1+nd90+1_amd64.deb Size: 489638 SHA256: 478e38858ae8484f82e6aa8ce2ba117d62225066e382187de0497e6be54e595c SHA1: 19792933e37b1a591f64742ecb0ff70b8dd62c8a MD5sum: 37e4a54f93d1292a18fd1e3ddf14aef5 Description: convert 3D medical images to DICOM 2D series (gui) Nifti2Dicom is a convertion tool that converts 3D NIfTI files (and other formats supported by ITK, including Analyze, MetaImage Nrrd and VTK) to DICOM. Unlike other conversion tools, it can import a DICOM file that is used to import the patient and study DICOM tags, and allows you to edit the accession number and other DICOM tags, in order to create a valid DICOM that can be imported in a PACS. . This package contains the Qt4 GUI. Package: rclone Version: 1.36-1~ndall0 Architecture: amd64 Maintainer: Debian Go Packaging Team Installed-Size: 11599 Depends: libc6 (>= 2.3.2) Built-Using: go-md2man (= 1.0.6+ds-1), golang-1.7 (= 1.7.4-2), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-blackfriday (= 1.4+git20161003.40.5f33e7b-1), golang-github-aws-aws-sdk-go (= 1.1.14+dfsg-2), golang-github-davecgh-go-spew (= 1.1.0-1), golang-github-go-ini-ini (= 1.8.6-2), golang-github-google-go-querystring (= 0.0~git20151028.0.2a60fc2-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-ncw-go-acd (= 0.0~git20161119.0.7954f1f-1), golang-github-ncw-swift (= 0.0~git20160617.0.b964f2c-2), golang-github-pkg-errors (= 0.8.0-1), golang-github-pkg-sftp (= 0.0~git20160930.0.4d0e916-1), golang-github-pmezard-go-difflib (= 1.0.0-1), golang-github-rfjakob-eme (= 1.0-2), golang-github-shurcool-sanitized-anchor-name (= 0.0~git20160918.0.1dba4b3-1), golang-github-skratchdot-open-golang (= 0.0~git20160302.0.75fb7ed-2), golang-github-spf13-cobra (= 0.0~git20161229.0.1dd5ff2-1), golang-github-spf13-pflag (= 0.0~git20161024.0.5ccb023-1), golang-github-stacktic-dropbox (= 0.0~git20160424.0.58f839b-2), golang-github-tsenart-tb (= 0.0~git20151208.0.19f4c3d-2), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-go.crypto (= 1:0.0~git20170407.0.55a552f+REALLY.0.0~git20161012.0.5f31782-1), golang-golang-x-net-dev (= 1:0.0+git20161013.8b4af36+dfsg-3), golang-golang-x-oauth2 (= 0.0~git20161103.0.36bc617-4), golang-golang-x-sys (= 0.0~git20161122.0.30237cf-1), golang-google-api (= 0.0~git20161128.3cc2e59-2), golang-google-cloud (= 0.5.0-2), golang-testify (= 1.1.4+ds-1), golang-x-text (= 0.0~git20161013.0.c745997-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.36-1~ndall0_amd64.deb Size: 3007896 SHA256: 411f7f77ac00f6acb4d56085b8b7885c67dd40c559eec7ea5878124056caaf65 SHA1: 750dd2b0df62b311b2127a6360f29cc381cf514c MD5sum: a67712b0ea9da6855adea4cbd071999e 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~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 341 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~nd90+1_amd64.deb Size: 157524 SHA256: a4ceffc3c7ffe08cd62cbc51cdba6462034ce555d4f900b4efc6b53b4ade483b SHA1: 77390a0d8d7e175e6ba71b3f48094a0737f0f80f MD5sum: c687925e7f0891a4480b43e2a373189c 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~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 357 Depends: remake (= 4.1+dbg1.3~dfsg.1-1~nd90+1) Homepage: http://bashdb.sourceforge.net/remake Priority: extra Section: debug Filename: pool/main/r/remake/remake-dbgsym_4.1+dbg1.3~dfsg.1-1~nd90+1_amd64.deb Size: 318416 SHA256: a1d10eb255c59ecd4b229f048bd8ee48f7fafe6421ec90750c8676eebb32071a SHA1: d1bbc6b3b90c5b6b32563bfddb3b5f06f741749d MD5sum: 83aa3a7a9d2aeaba1e869605c0f2c2a1 Description: Debug symbols for remake Build-Ids: 30f2d5bff2dea4db058c21959b940c36c08dbd45 Package: sigviewer Version: 0.5.1+svn556-3~nd80+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 983 Depends: neurodebian-popularity-contest, libbiosig1, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.8.0), libqtgui4 (>= 4:4.6.1), libstdc++6 (>= 4.6) Homepage: http://sigviewer.sourceforge.net Priority: extra Section: science Filename: pool/main/s/sigviewer/sigviewer_0.5.1+svn556-3~nd80+1+nd90+1_amd64.deb Size: 332454 SHA256: 35be9ec022879af53f6eeff134ec7d7c40c1bfc5d4e4e17f0de19afa4591df19 SHA1: b8411391e09dd9a69182825586e67cacbbbc2f6a MD5sum: 7e8dc2c2042de4f826ead3daac4022ae Description: GUI viewer for biosignals such as EEG, EMG, and ECG SigViewer is a viewing and scoring software for biomedical signal data. It relies on biosig4c++ library which supports a number of data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . Besides displaying biosignals, SigViewer supports creating annotations to select artifacts or specific events. Package: singularity-container Version: 2.5.1-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2410 Depends: neurodebian-popularity-contest, python, squashfs-tools, libarchive13 (>= 3.0.4), libc6 (>= 2.14) Recommends: e2fsprogs Homepage: http://www.sylabs.io Priority: optional Section: admin Filename: pool/main/s/singularity-container/singularity-container_2.5.1-1~nd90+1_amd64.deb Size: 340274 SHA256: e29ad7165e261aa923a8ea3c4bc448467bf60a6b4624e1ea92569d6e2e8790a5 SHA1: 7f7f0c13813eaf5147536c6f062b2e4130b35e88 MD5sum: d7d2c384418d93a5a3ba161cf9ca7c78 Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container-dbgsym Source: singularity-container Version: 2.5.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 1150 Depends: singularity-container (= 2.5.1-1~nd90+1) Homepage: http://www.sylabs.io Priority: extra Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.5.1-1~nd90+1_amd64.deb Size: 910092 SHA256: eb06e2a25a4e0b9c9f7bc66b9da5f677f17ae30d05d0ea3e54cef2be159113c0 SHA1: 6cc0979ed499cd01f8094c919358c6d81a560b4f MD5sum: 61c5465e17a0368c2cf5caf17fb94b81 Description: Debug symbols for singularity-container Build-Ids: 24d79e4fc37a6f632419cd9a6c48f818c84c83df 25d0b45cdd81c57bf2281ee4787e738a72db42d3 261bc97697fcf1fc48974cece032c24e2ae4b197 33cdc28940be8d84b02d211e3c2f95c5e01fab66 6fefe73986fec935aaee99fa43ab7afa773c4879 79972786748c58448f87f03d147fb97ecec7032e 7d0f4bb94fd51931699f2767477561d7a175bee6 8c77e19e30351c8ffa26118664e0198cb3f9d28b 9ce80a245d4ef76dc13a2004ef073fc4d20299cc a259902ce23f9371b801cee2994489129acb0091 a95500c7f757eb377e1e5d7f0465e74a170ea6af aae849103f21e5075f520d5c190a6f2f8e30126f e4e29181eedd44d9b24577b80fd740748c6d7e1e f5f476c002215ea1a2b30ab9bbc1e5ee6f16b56d Package: spm8-common Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 19187 Depends: neurodebian-popularity-contest Recommends: spm8-data, spm8-doc Priority: extra Section: science Filename: pool/main/s/spm8/spm8-common_8.5236~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 9748000 SHA256: 680f43e45495a677b3c38f5e3709ec28b4ad877e4315eeff99fe2582ea1fcb7c SHA1: ceac6e0f3811c55e8125edbe21b3efdaf1a16e12 MD5sum: 244ac5f32442def5cfc872ea3f873f88 Description: analysis of brain imaging data sequences Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the platform-independent M-files. Package: spm8-data Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 73020 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.5236~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 45492378 SHA256: aa9b3d42abaacaa7d476fd31e6d9af9abf9aadfca4f0a603b0369bb26a3c8dc5 SHA1: 0725897b8a1f9fa64abe092992fb35dbcfcd5270 MD5sum: 746ebce5f1c0180331a6be5e080b959c Description: data files for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provide the data files shipped with the SPM distribution, such as various stereotaxic brain space templates and EEG channel setups. Package: spm8-doc Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 9252 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.5236~dfsg.1-1~nd70+1+nd90+1_all.deb Size: 8934900 SHA256: 4a07f5603644623f064ef741e279bc7c152ea20cc5a134ecd4734b7958e37836 SHA1: a37985ea601c14ce314860c55a42f45fd00405de MD5sum: 40142910687b4dfbbac3805fe593d0d6 Description: manual for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the SPM manual in PDF format. Package: spyder Version: 2.2.5+dfsg-1~nd80+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, python:any, python-spyderlib (= 2.2.5+dfsg-1~nd80+1+nd90+1) Homepage: http://code.google.com/p/spyderlib/ Priority: extra Section: devel Filename: pool/main/s/spyder/spyder_2.2.5+dfsg-1~nd80+1+nd90+1_all.deb Size: 53012 SHA256: b2dc7e51ef78e68819125e10a50cd4ea706a77ba409e0bb27fca9b63c8a34c5f SHA1: c6e5131a5eaafdf8960050d01e2812ba76c94730 MD5sum: 74994062b3b51941db390ea57c13b8e8 Description: python IDE for scientists Spyder (previously known as Pydee) is a free open-source Python development environment providing MATLAB-like features in a simple and light-weighted software Package: spykeviewer Version: 0.4.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1962 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-guidata, python-guiqwt (>= 2.1.4), python-spyderlib, python-spykeutils (>= 0.4.0), python-neo (>= 0.2.1), python-matplotlib, python-scipy, python-nose, python-sphinx, python-tables Recommends: libjs-jquery, libjs-underscore, ipython-qtconsole (>= 0.12) Homepage: http://www.ni.tu-berlin.de/software/spykeviewer Priority: extra Section: python Filename: pool/main/s/spykeviewer/spykeviewer_0.4.4-1~nd90+1_all.deb Size: 1291112 SHA256: 2e83375531323c142b40cfbbcf0ecd5dc636a6d7a9e2529ad8e420d5946829ce SHA1: d83259f4f990fe9a0786aa922d110fe735d98ac9 MD5sum: fb561409c7b2eb55831da4fc16996663 Description: graphical utility for analyzing electrophysiological data Spyke Viewer is a multi-platform GUI application for navigating, analyzing and visualizing electrophysiological datasets. Based on the Neo framework, it works with a wide variety of data formats. Spyke Viewer includes an integrated Python console and a plugin system for custom analyses and plots. Package: stabilitycalc Version: 0.1-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 134 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy, python-nifti Recommends: python-dicom Homepage: https://github.com/bbfrederick/stabilitycalc Priority: extra Section: science Filename: pool/main/s/stabilitycalc/stabilitycalc_0.1-1~nd70+1+nd90+1_all.deb Size: 22486 SHA256: 8766352aac1f4ad1638c04104058b2872d436a43f15fb3a43f84ea9c99ce5787 SHA1: ab2985bd761da2904cfdddb227bf81a1b91534d0 MD5sum: 8d9b482369a29f4801e6ef1119852fcd Description: evaluate fMRI scanner stability Command-line tools to calculate numerous fMRI scanner stability metrics, based on the FBIRN quality assurance test protocal. Any 4D volumetric timeseries image in NIfTI format is support input. Output is a rich HTML report. Python-Version: 2.7 Package: stimfit Version: 0.15.5-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 3311 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.14), libcholmod3 (>= 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 (>= 3.0.2+dfsg), libwxgtk3.0-0v5 (>= 3.0.2+dfsg), zlib1g (>= 1:1.1.4), python-numpy (>= 1:1.10.0~b1), 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_0.15.5-1~nd90+1_amd64.deb Size: 911178 SHA256: 59fe92d4e71fb1885b4f915e59485ec6bbb71ed3f4f856cf1b7c43b73de9d20d SHA1: b05551ccaaffdc7336d95a3e956d4a3049f1da0e MD5sum: f328163761877ba0dff9d2a14da5731d 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: 0.15.5-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 32964 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_0.15.5-1~nd90+1_amd64.deb Size: 7568508 SHA256: b60a55476a581569d093e98b619e61dc9bea414010a6a5df7034daf131b8979c SHA1: 8bdf343bc7dbee77f80a05869b772a95c80f1043 MD5sum: df53de669b786055afc052dc91357fb6 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. Package: svgtune Version: 0.1.0-1~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: neurodebian-popularity-contest, python, python-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.1.0-1~nd70+1+nd90+1_all.deb Size: 6544 SHA256: 932580cf411cba683c923965479d65b533fe87f46590d4e18612bb7906fd639c SHA1: 9077b3e2d8dc1f892ae80bd15112d369c68aa96f MD5sum: b023b0ccfe544567ead1371438900c92 Description: tool to generate a set of .svg files out of a single .svg file svgtune is just a little helper to generate a set of .svg files out of a single .svg file, by tuning respective groups/layers visibility, transparency or anything else. . It might come very handy for generation of incremental figures to be embedded into the presentation in any format which inkscape could render using original .svg file (e.g. pdf, png). Package: tigervnc-common Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 175 Depends: neurodebian-popularity-contest, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libsm6, libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6 (>= 2:1.4.99.1), libxext6, zlib1g (>= 1:1.1.4) Conflicts: tigervnc-server (<< 1.1.90), tigervnc-viewer (<< 1.1.90) Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-common_1.5.0-1~nd90+1_amd64.deb Size: 61894 SHA256: da43e547a1c2e05bbab57ace8b063195a53b6c643b31f11f9d9e7a85d1b947f7 SHA1: eac51c532490fdbc1eeb189cdd138cd5e116ab54 MD5sum: 9abfd4f712e604e87ae0afd56f475e57 Description: Virtual network computing; Common software needed by clients and servers VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It is implemented in a client/server model. This package provides the common software for both client and server. Package: tigervnc-scraping-server Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 505 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libice6 (>= 1:1.0.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libsm6, libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxdamage1 (>= 1:1.1), libxext6, libxtst6, zlib1g (>= 1:1.1.4) Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-scraping-server_1.5.0-1~nd90+1_amd64.deb Size: 181130 SHA256: 0fcd0b335bfba66c37dc3388510a61df380295fb0e5382084b1bad38a0ff5857 SHA1: 31e81769d254347294d6ebc135755a2ce692bb14 MD5sum: 569458aab6b360aa8d75615282b2eb89 Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . This package provides a vncserver which uses screen scraping of an already running X server to provide its VNC desktop. The VNC desktop can be viewed by any vncviewer even on other operating systems. . Note: If you only want to scrap your local X11 server, you should consider the tigervnc-xorg-extension package. This package provides the vnc extension for your local X11 server. The usage of this extension is more efficient than a scraping vnc server. Package: tigervnc-standalone-server Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 2510 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libaudit1 (>= 1:2.2.1), libc6 (>= 2.17), libgcc1 (>= 1:4.1.1), libgcrypt20 (>= 1.6.1), libgl1-mesa-glx | libgl1, libgnutls-deb0-28 (>= 3.3.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libpixman-1-0 (>= 0.30.0), libselinux1 (>= 2.0.82), libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxau6, libxdmcp6, libxfont1 (>= 1:1.4.2), libxshmfence1, zlib1g (>= 1:1.1.4), perl Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-standalone-server_1.5.0-1~nd90+1_amd64.deb Size: 960366 SHA256: 5370770614d983ad6dc9c26ea6e6c753253838975ebada585084b1dd0b9f2794 SHA1: faca57d070135a47404219ddb5ccd9130a107eba MD5sum: 9cbae2076798f4b2fb56d527a3b5e5cf Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . This package provides a standalone vncserver to which X clients can connect. The server generates a display that can be viewed with a vncviewer. . Note: This server does not need a display. You need a vncviewer to see something. This viewer may also be on a computer running other operating systems. Package: tigervnc-viewer Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 422 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), tigervnc-common, libc6 (>= 2.15), libfltk-images1.3 (>= 1.3.3), libfltk1.3 (>= 1.3.3), libfontconfig1 (>= 2.11), libgcc1 (>= 1:4.1.1), libgnutls-deb0-28 (>= 3.3.0), libjpeg62-turbo (>= 1.3.1), libpam0g (>= 0.99.7.1), libstdc++6 (>= 4.6), libwrap0 (>= 7.6-4~), libx11-6, libxcursor1 (>> 1.1.2), libxext6, libxfixes3, libxft2 (>> 2.1.1), libxinerama1, libxrender1, zlib1g (>= 1:1.1.4) Provides: vnc-viewer Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-viewer_1.5.0-1~nd90+1_amd64.deb Size: 154906 SHA256: 0cb2c46f33fcf5bb92985293ec81e73a730ae3dc0e8ffab47ff964ce6da7234f SHA1: 506d4861b37b69c60a4e4fa2c466d229ef650755 MD5sum: f1f5a1350c2d1df0844924587e4a4ab9 Description: Virtual network computing client software for X VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It is implemented in a client/server model. This package provides a vncclient for X, with this you can connect to a vncserver somewhere in the network and display its content in a window. There are vncservers available for other operating systems. Package: tigervnc-xorg-extension Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 602 Depends: neurodebian-popularity-contest, xserver-common (>= 2:1.7.7), keyboard-configuration, udev (>= 149), tigervnc-common, libaudit1 (>= 1:2.2.1), libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libpam0g (>= 0.99.7.1), libstdc++6 (>= 4.6) Recommends: libgl1-mesa-dri (>= 7.1~rc1) Suggests: xfonts-100dpi | xfonts-75dpi, xfonts-scalable Breaks: tigervnc-server (<< 1.1.90) Replaces: tigervnc-server (<< 1.1.90) Provides: vnc-server, vnc-xorg-extension Homepage: http://www.tigervnc.org Priority: optional Section: x11 Filename: pool/main/t/tigervnc/tigervnc-xorg-extension_1.5.0-1~nd90+1_amd64.deb Size: 201668 SHA256: 607d8d8e35e556fe48b482eca240116c0f96ce8b991fb2c1822b8ff09bbf1352 SHA1: ed66730f3b26bb695cddde2f09f89a8d0b2abf5b MD5sum: 5f4254e8eb7f51d20c085c3fd36a5e63 Description: Virtual network computing server software VNC stands for Virtual Network Computing. It is, in essence, a remote display system which allows you to view a computing `desktop' environment not only on the machine where it is running, but from anywhere on the Internet and from a wide variety of machine architectures. . It contains an X server connector so clients can connect to your local X desktop directly. Package: ubuntu-keyring Version: 2010.+09.30~nd70+1+nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Recommends: gpgv Priority: important Section: misc Filename: pool/main/u/ubuntu-keyring/ubuntu-keyring_2010.+09.30~nd70+1+nd90+1_all.deb Size: 11666 SHA256: 9261b6c61e5f4c66cc1bc803a2fafddd4b76383058127496b5d6c2af04ea1b9e SHA1: 705794dc4d5af0849731d8a6ebc9d90b24b7bf19 MD5sum: efa94037736492ce55a9d611841f8bdc Description: GnuPG keys of the Ubuntu archive The Ubuntu project digitally signs its Release files. This package contains the archive keys used for that. Package: utopia-documents Version: 3.0.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 18344 Depends: neurodebian-popularity-contest, libboost-atomic1.62.0, libboost-chrono1.62.0, libboost-date-time1.62.0, libboost-python1.62.0, libboost-system1.62.0, libboost-thread1.62.0, libc6 (>= 2.14), libexpat1 (>= 2.0.1), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libpcre3, libpcrecpp0v5 (>= 7.7), libpoppler64 (>= 0.48.0), libpython2.7 (>= 2.7), libqt5concurrent5 (>= 5.0.2), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.3.0), libqt5network5 (>= 5.4.0), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5script5 (>= 5.6.0~beta), libqt5svg5 (>= 5.6.0~beta), libqt5webkit5 (>= 5.6.0~rc), libqt5widgets5 (>= 5.6.0~beta), libqt5xml5 (>= 5.0.2), libssl1.1 (>= 1.1.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4), python2.7, python:any (>= 2.7.5-5~), python-imaging, python-lxml (<< 3.0.0) | python-cssselect, python-lxml, xdg-utils, python-suds Homepage: http://utopiadocs.com Priority: optional Section: science Filename: pool/main/u/utopia-documents/utopia-documents_3.0.2-1~nd90+1_amd64.deb Size: 5523442 SHA256: 9d105118bbca58e2e535d19d6f71d671e5f029d11a109c52771c0105da46772c SHA1: d34a2ed56946cc95b678b9c0fa890eec900d2016 MD5sum: dd16c1eb6e68cb0516995eeef19e9d97 Description: PDF reader that displays interactive annotations on scientific articles Utopia Documents is a free PDF reader that connects the static content of scientific articles to the dynamic world of online content. It makes it easy to explore an article's content and claims, and investigate other recent articles that discuss the same or similar topics. . Get immediate access to an article's metadata and browse the relationship it has with the world at large. Generate a formatted citation for use in your own work, follow bibliographic links to cited articles, or get a document's related data at the click of a button. . Various extensions provide links to blogs, online data sources and to social media sites so you can see what other researchers have been saying about not only the article you're reading but its subject matter too. Package: utopia-documents-dbg Source: utopia-documents Version: 3.0.2-1~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 57192 Depends: neurodebian-popularity-contest, utopia-documents (= 3.0.2-1~nd90+1) Homepage: http://utopiadocs.com Priority: extra Section: debug Filename: pool/main/u/utopia-documents/utopia-documents-dbg_3.0.2-1~nd90+1_amd64.deb Size: 56240876 SHA256: 5904e78043912b2a410d121b678a39313091cda38817613d3cf05be485bb076d SHA1: dee1a99c5da3db6d9c530a0199e14a4075518aee MD5sum: 19d5820ef8cb4b1fff6f4d249061faac Description: debugging symbols for utopia-documents Utopia Documents is a free PDF reader that connects the static content of scientific articles to the dynamic world of online content. . This package contains the debugging symbols for utopia-documents. Build-Ids: 00c859e336f5547c4bbc0eea4186c67fdec098a7 022b845e19beae297e70a16a83eb5170b1d0ddd8 0ae7fd5566c6a6beb99bc1cd2a838110a1af0b06 0dfe286c18119a0056ea039c763e9d7e1850931d 1f951509e48bf4b63805ade0fda74085ca3f22d2 2fc9ac426ecc6c9ebf09654041792909d6bc7a95 3add6e686239dc156e82d6c114b72bae297ec073 3bafdae88c0536a25b0174029ad764898aa4773e 3e967348378cb87792c3ccdead7b081829a996e8 54ba9b7a2f40ea6f9332001cda6adf413b187699 5f9de5012124ba9fb276de1a25d865d1b9460cb2 64eb7fcb7f4407b8639fed01fdd7715661a0e9ef 759798b786d2cb51cdb299bb742006d08d439f7a 77bab69559660e65908edab1d50e5362acc32b0d 7d524bbce3865339fbfd0febd62f47b30c56d8f8 7f4c94affff8bbad823b3fbdac3706765fe044ca 816c051715fe1dd916d9865cefbbe04da528faf1 8672e0122528edfe7c3f95c1a8ae9fd28eb4233d 8e0b1251c5bfbba889cf6eb2cbb95fbc76a47c9e 90eb14e14cc5087a1810da4fea8439b3a4f31d56 a9d41db166367d16f9adafeb09ce8cb78df3e9c5 ab583961f5a4da19d5008658a2e85bb146f1f450 b220993819c25f0c180a12f08019171af71fc960 b79495adb860eb6146a524eef2ef241e65597e5f b9e4bd49ead20c8562a34dfe4d47acec49c2b237 bc486a54c4b1c1613a8b53027133408acc14bf5c c1f54defda04a694a893e5dfa18d3c6a08a1fc5e cde4bd1c4fbc04d11564b67f3f103b1195310b99 d1de464f86b7e6412eecdad817630a147ea6f3b5 d485d8260f2bff0967fd5fe5f31bcbb11a999c8d dec1f1a74ff26a6f179ed9817f95dfc7e2de96e3 e05f1355933b4ddd1d7624304df413872bdcd155 e1891c19326bce89b8bce9b3147a11a8969ffaa0 e4ec3dbe5cdf8c85ce0b7d4566a58bc2452da2ae e69554c57dad164110b1efa49602eee2bcff0510 f085627d430e72955641264094db8d4efe7b1944 f0c2d39c981118b8b7e252c3c0b6f98e03a519f7 f2320862f88ebf7be4f6e703c3e102456945322b fabf4cc6e1865b93e2af7d935945325df865bf51 Package: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 387 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libvrpn0 (= 07.30+dfsg-1~nd70+1+nd90+1), libvrpnserver0 (= 07.30+dfsg-1~nd70+1+nd90+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: utils Filename: pool/main/v/vrpn/vrpn_07.30+dfsg-1~nd70+1+nd90+1_amd64.deb Size: 92710 SHA256: f9ae19454f930bb8eac0fbfd50b83803fd2ceacdfae1d3f077d9fcd1e7e56afe SHA1: 5495103e0bd5ab80731f2414f8c4d1771b969323 MD5sum: 3dc0a7266777082f9e5774e32aa1b41a Description: Virtual Reality Peripheral Network (executables) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the executables like the VRPN server. Package: vrpn-dbg Source: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5096 Depends: neurodebian-popularity-contest, libvrpn0 (= 07.30+dfsg-1~nd70+1+nd90+1), libvrpnserver0 (= 07.30+dfsg-1~nd70+1+nd90+1), vrpn (= 07.30+dfsg-1~nd70+1+nd90+1) Homepage: http://www.cs.unc.edu/Research/vrpn/ Priority: extra Section: debug Filename: pool/main/v/vrpn/vrpn-dbg_07.30+dfsg-1~nd70+1+nd90+1_amd64.deb Size: 1101388 SHA256: b596fe5bed47901e0591b2fee93bcaa522e2826d2d5505a9285d31826254393b SHA1: ee23bf6d88955c834c7cf67b6f2c8243c7dc150e MD5sum: 311599458a0bcc9059c23c9f315198b2 Description: Virtual Reality Peripheral Network (debugging symbols) The Virtual-Reality Peripheral Network (VRPN) is a set of classes within a library and a set of servers that are designed to implement a network-transparent interface between application programs and the set of physical devices (tracker, etc.) used in a virtual-reality (VR) system. The idea is to have a PC or other host at each VR station that controls the peripherals (tracker, button device, haptic device, analog inputs, sound, etc). VRPN provides connections between the application and all of the devices using the appropriate class-of-service for each type of device sharing this link. The application remains unaware of the network topology. Note that it is possible to use VRPN with devices that are directly connected to the machine that the application is running on, either using separate control programs or running all as a single program. . This package contains the debugging symbols of the libraries and executables. Package: vtk-dicom-tools Source: vtk-dicom Version: 0.5.5-2~nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 282 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9), libvtk-dicom0.5, libvtk5.8 Homepage: http://github.com/dgobbi/vtk-dicom/ Priority: optional Section: utils Filename: pool/main/v/vtk-dicom/vtk-dicom-tools_0.5.5-2~nd90+1_amd64.deb Size: 72816 SHA256: af8782ddba722555fb2aca23535fcd20666e376bfdef2f85dd66aa41b434ae34 SHA1: a0986c11fefa3255a170c7c81193003ea5c9d765 MD5sum: 6b54dbfcbf9a0019417f75e146ad10ea Description: DICOM for VTK - tools This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files. . Command line tools Package: xppaut Version: 6.11b+1.dfsg-1~nd70+1+nd90+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 5977 Depends: neurodebian-popularity-contest, libc6 (>= 2.14), libx11-6 Homepage: http://www.math.pitt.edu/~bard/xpp/xpp.html Priority: optional Section: science Filename: pool/main/x/xppaut/xppaut_6.11b+1.dfsg-1~nd70+1+nd90+1_amd64.deb Size: 3762772 SHA256: 448cbfca0910bfc25d22fc0591f409f341709074dd1b714c6532d26b8f8a8c8f SHA1: 52204d34005b1513cdaf7af45af1122be32de0a2 MD5sum: 94aaeb92837e874eac8ac49e97df2001 Description: Phase Plane Plus Auto: Solves many kinds of equations XPPAUT is a tool for solving * differential equations, * difference equations, * delay equations, * functional equations, * boundary value problems, and * stochastic equations. . The code brings together a number of useful algorithms and is extremely portable. All the graphics and interface are written completely in Xlib which explains the somewhat idiosyncratic and primitive widgets interface.