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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1631 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.11), 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_i386.deb Size: 571766 SHA256: b2ceee9a93544473166a15349e7a9086843b4223a69f91467baabebcac5a1632 SHA1: f5b1d7005eccef990cb1f1a4b019831843ec226f MD5sum: eab6bb99823b566b5cd4fd37976b6097 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11552 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_i386.deb Size: 11570172 SHA256: 1cae02257b2057c3d2be3ec3e2593c0231b910ebb32cb8a78660016ef3d567d7 SHA1: 85153242f81b12455f7077a50205c6de681a7cc4 MD5sum: b622e6566ff2c50f4b2edaaa7c53f0a6 Description: Debug symbols for aghermann Auto-Built-Package: debug-symbols Build-Ids: 1690d8df37725270e56960e2d3e93d18d10932b0 28ad6733868e32bc541d33a82574b584d8d32857 2e2336a98f57ada01b55295fbd3b3cd31612a8c4 46f26f68a9a2e723a23b8cd53b0aa1b2a264f5e7 4e23d1bfd1ef15e687533c35f0c89446127e6c16 92c5ef20d285b6929ff433b661c48058b4eae0c6 b466a61f85c755107d85ad296c716df4046fc672 cc0fe0d7b91b50ecf3c472d12cb5f81c637cdffe Package: ants Version: 2.2.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 309694 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 40357464 SHA256: 1b01c05e57e83067b73728e7e1e66375bf66d9e99a3c60b6331ba3a756a0d2e2 SHA1: 7ee4abe5d684d4c92c1c21dee95a09b88970c422 MD5sum: ac1957264a8f03d8ea8acb0226573d0d 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 297714 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_i386.deb Size: 264174238 SHA256: 162918c5fbc1ec29f7a60d0591c3144bd4d9291439fe462a2f412027d73c3b1c SHA1: 4d63c63a2924a00882cb1719d75e2ddb780aa906 MD5sum: e59579cb3b3ee4a22d52569aa6530617 Description: Debug symbols for ants Build-Ids: 01509e3abdffdd05ef5d5c08c904597603499fa2 01902a1be41e81cfc654490585f574ce863a9746 032383e32383f916a616199e29dc68182f202d8c 0494acacf6fb3d740821e0aa5074d55efef04f77 05d4c779847951e085b33b2f6e69fe343378c10f 06d6957be4085c63145f1b614449144680ada21c 0739a938180485468b7e309d8be435d006aa2213 07e525fe8e6da60c4242e0bdf1a54ad9cc159de2 07f3b792904b4e1ef12e8a53e19323e28fa346d3 09a5ac04bcb5b141717b8e8f38918995920baa14 0be6d1971059d9bc4d8c3b65373a17f520fd2c38 0c68480f7ed134bf1f63070c6545d9ea951f18d1 0cb9354c9bf955536046007b66ed92e7c4bb679c 0dd8e8caaed3ca99202f578792f2e3f0e1aaf777 0ec9f2e228c272c06d826b5c9bd634d397190a06 0f1a620bd829c2092ee7760bd90b2408750f4288 0fc73427673a92d9821d6396b6587fb01ad36753 10b09f8ffdf5694aab7004bde4017605f47123fe 10e9056ead99d94142f147d54ba604198a187a4c 11bcc31796415e558908f20e18ee2fd584e3bfe3 14b1fe50ee95ed967afb09b47ea20f05b99cdfae 151e37b1b73c19b127a0ce8d366e8a20a77a2923 15794b6acd9d3c446a329db52c78409a2162c891 15926ec89c38cea7f33590d939c99faa1746cdf3 159c524ffb7ca35385e8efb768eec1b84f6e8d2f 1668d5dc34cd88dcb880c1db01569a6a3ad25323 16af8fdc4e35f9f3ca82cba7437a1ed42dd569ac 1bba64b7c287452897fd0223b0486c995c20ae81 21e6b04a878504d1619ca97d68edf81c57162986 25a8080a5a1be9cf1006d92702f7668537fa130a 27880ba7397b93607949575bc0009522222df955 27df33dc868320056c79ec56c856d348285e9ac6 288acb378fe23e19779827d9537ae7d806fe15f9 295c468042f2a61ac4b79de7e673fbe6573d220b 2b6cbbb921d8a4d94d89a8cf80d8f342fa1d6dcc 2d2b64e4647fd12476f0fc1951a9f3058245a748 2e70f6508ab06d8de88275c875b5187ae079185a 2e94fe4f18e424e7a64877140e121e1ba14d8d5a 322a41138abae4d0cc84d86a24795067c01c6923 32ef3b91173fb178d74483f78c3ababbda782dcf 33af051078e0b40bb2b57a8ca2921e5069996de6 34eb740d2deb1e8cb631488db16f6e5f173a8733 3505f9f169402281c6501701abbc3d971f8a6f6d 36e1f8519db98fce9f1215a74a850fabb2fcfb7b 37f927e27372f563c9a77c3752ef3a6fb07bb509 384c7b799bfd6885f738fb69871663d5fc57a31b 3a08b1d0a93803fee8c936f8650e37533a1b8d90 3a8aa94a5d77a119c33c7047602595c9821608b4 3b6ef4fbefd1d9c915f88bab69ead0b5cd55b96e 3f64034608b9d2e9d6a1f870edfc97c61016af1b 3fd3c3c57261c63d4711c86d2248224e233a1f8a 4096693feb584e2d0dce8881721305db34fcd29f 41c4ed3677b0176165edc53eb97841cf21498080 46eb10e6a1f15de7993c5c699450e4587a2be41d 4751d8a222657ac3629f3980516705bcd20b5ebc 483855d2270bf9fdf5a62ab2336942abc82523df 48986ee0f196491e75239b81592b6dfb79d708e5 4931257fdcda75408f9aba50a3e4e060e2dc4fd2 4ab372f27986a29362019bdd7c1df6a79cd9dca1 4adc35e5f3a37ac58498e5a5b845a0f12b7538e5 4d83b8af3af8d7f9f7f336db0e7e9a464faf7050 4def446d23112974ce1aaacd21d363ce63ecc95c 4ef324000d76ad9ca5163d8b6addbb16358a9a10 4f22369e804d970c61c735c8a848fa0146e9d682 4f44b113f9f931cc40e7163bdf6081bbca91061d 505a2b35b0bab17c2e07b2a2fd077f3bc2ade53a 5156789959d8235ced5e0d72102317f9f9e34e6b 51e17c4836345e302e556471ac1e472b95776772 52320b7c14f9381ebad6f40da09ed5248fd5bd61 5257e2403de78139be28d003000e367e13230b8d 54785e822024cc64da19b2f3ea0d99c377233ded 552c73a74c6ecdfc5071c4522f378e728cd4025e 55af50f70492a2d9d538f9f75b515fe64b23adc2 5642f14c21c6bdce63118e42eb3dda9705e745e7 565102a97bd8466910cd18abcb3240d1cab2a8b4 571ae5b526c30ce0bdcb0f323a308a0d9fb898cb 58b61dd52f9bc7ee2dc3a58e3091fd273eb40823 5c4b6581cac751edcd7dd9be23ec7cd0bcefd301 5eda59aaea5c141d82fa904c7365ccac471cbd37 5f546c0eb7bdcd6ec43d1f8d4de111d0c44c5d90 5f93fad0712e3e43842ce4edd1ebb30f5d998204 63f42e828d7ae3584d19c2845d6ea4b1243f0d9e 6f426779cc899d862065226d45907118aa3401ef 6f9dd451acdcbdf70fbcf0c6b047ce8d724acfec 70f60d69bf16000d307a9fc6cb6676c6e354ce99 72fcab2786264cb2bbc6a70a651a104eb6dd19af 7654949c0ce15c13445a8637ecd3ae0a770c7049 77ba16cfa03fdd863ce2407a4847487b50299c8c 7adf0524c4a67a233ba3d434af339eca95f7bcfb 7b7407371aa55793d71b3dcb6dc1effae068f143 7c20ed1607af6c643eacd7dfbe46a507c1347374 7c778ab9058e738f8d58ced1f2b38831e18fed93 80cef1d9fc67448a1bca984434f023e52a21d283 89a53ad137811d64341dc4d23d972eb49b9a8822 8a35badc7d331efaef31c3dba2118e289a73987b 8b47d4cdfd622c3605406377aacc1d43dc6ce050 8b53cdda2c5932413b0a6b3109dfd6797b2fa610 8b5ccefe7b89841363890e11b9b9f6378e5a61b5 8b83cc8d7b137908484a58010a36f1f0435d97be 8b902c8f7cc95e00b04234c888733c639c87f908 8e5c088bfc6c1ba7821865e999579663d1a414a5 8e9ede3cd593fd518502087c562b6be61ce783ef 950663e19f3c7ec17b0e47fb54751b48cfe67406 978c17ff3961b8e198beb32a352cf3d043dfccf3 9a65a45b806fc7f4191987ddcc2ac8baec460fb2 9b47ee23a3ca20ee55268f55d1527a32049e0883 9e0a9fdd1b9ad8e7c67bd622f5bdf352497d7b2e 9f0f8d09b22c8168bed12b3957e09561f1bcae34 a0d07ed2c73998cbba5205fd3dd49de2248d6e71 a3b1733e0fb35889ada41922db9e506c4c26f046 aa221d1a84fe4c94f53270f3865a7b4c8f21cbbb aa3758f17b8bc2facb5ac48ff0c98d70f7393283 ab9d7d49fdd17b1b7262f75c67fc044969d4b18e abfd84d4184c41c5a7b9dae9e8483b2adf001c86 afa2f86daab9a29bdf809607c2e1ed2d976127ec afb4190d52cfab2bc9634917f1a9fc0ec05de93c b079e06449867bf727a18606c581e3ab1d4bba72 b3f3a772030b0343717a5b5a46908138053fa3d6 b58041345a1b940ae4ab235a257c79363490114e b5db971caae96aa1d1f98e29850a55615e07f095 b80506c0f44a3293dd0163cf821b078034e27252 b9a02d407d6587f06017d9362fd5493e509a4f9c bbc0141df7d67d58185026c92ed2e322caa99e53 bc2ec9456c12a045ac83c6aeaaaf7b03df531e9f bd88f851dcac120423dc08d868ed0d30914b8d97 bdcd97c613d802a28f437569204c6e2642c6da4a be23a75c533f05cce4b55c45362115a4b61b2a08 bfe5e35def729604e19d93a1f751e2057a41cbbe c19c44a474a77142a18493492d4e92f39cba1bf5 c20e6dd89b756e49d9738eef86ca9e122d4d86eb c312e6f7f00969a18f99d3540d6a514b6a57374f c38894306bb99b2009d7b76e550d9cd5f5085832 c512c998461fe53f04ab5133ec9482efb1636c17 c552f2c40c9289b41036f0faefe8e10c595735fd c56ab197f4de17ea219499aa19e84f49c32a9597 c99f1298f158fa7618c12909eeb531a614deb413 c9b345d0d082afce34c9311dd52db04086fcde06 cafd32393057d016e2906f16ee9bb3aa9b32ad90 cb1f06d4fb7e94cf32562326215a2fe3e7613d6b cb6bdeddf34a64686c71ed4f5c73cc090daace03 cceb718d78f5d2721804308fe4a7b331edfe4d72 cdf445f759e31f475104ee766130142a39027269 cfa1aa53cdc71ee545c0d9686ebb9a67c5e519f7 d24713740cd137f2b17ef57c18fef01ae23d12af d2e1d74f12862b8c78b30a5268163cd2070937d1 d30f327e52def0bda7df8d0481cd38b3d034d97b d31929fb6bf1a90a1b4ab29e102e414558478d82 d4bd37ab2fc9e9dca6118c3b2bec6d9ed4a33572 d54c153d9ad750bce323993f9164636503a2163f d64a7d28ff56be70b47f4753768bc18d4a2c4408 d711e3adc54adae152dd63446ef0ce15e14c3bf5 d8841395a488b1df3df7957a6645f3fa32da517b d889a6b81b759a6cf27c6ae418f4ec725aeae6f9 d8ade1739ed07a906f44ca0ca5a8fca4408756fc da070fed91b671353bc9ae8477deff8c7442e53b daf534d91e81014c6ac380149cf1e12785de4b02 db804612bc166c54e75041169b4aaa04a91c357f dc0da7cdb45abc7cd0dde847767c181832395b4b dc67a39bde642d8257884e42b02442d85d1f964c dd6941590b06666525a66b35c7af3d28660139da de3043ebf53af48c64837753b381e7bb7b06c60d df77b46d9d93169f83bb5b879734853663121ed4 dfbe12d09bced3f3c7830b5cc0edf5e97292291e e02ceb4b877b0227ad83bc0d2c81b3210fb8a1fa e0327727d95310bb4d19ad7f9836affb38ad954f e149d3a491c3f6f8954fe69eb8f49bdb9dc99c00 e4582e097477b6ffeb336fa4a497eabdd31ddb59 e5b862f926adc77d819bf2f49bedcee248fc7445 e60d91fc898ec0de12eec50edd0111daadeaab7c e66ed7c7e417cff31a39d60d354234597aff3ecc e6b8d4c033317245b5fe3e13da44a5d0d88aaf98 e8676e33f5f33e7ffc8bc28825751caaffbe6ffe e88e9a84f5005d35e53a7cbf0b623a64face3aef e96a20d5dc3cf2d5f691b97f471a2598daa1c33a eb5a9b2c1a87396853b200b9760e275a3832b02f eb858f83ebc3ca516d0d834e9a9a2d91adecf35c ec1f0de57f9cbaa16b4fc8f98cf84f8655a38cf7 ec845830ac51e5c1b92a0e4b333e1fe656945411 eddeba3c7393a2e47d3c4177bd6b24f60ec8fede effd706b5c53e1ede0c397873426b4a78f8279fc f0c49a0fcb8f9d29e596941a7909a03fe8a29227 f156abde44839117d5e9b741df0c5db1d47917a4 f2b591eaf4fe28bd42043ea4916922b1fd3b45ba f2ebb04b9e8bb85ce135b3e61628a0c8b1d9f415 f5296559245c36b86dc3be2b0b497fd1d4980a9f f545f9cf0710bf79ff157c2dcc85f4fbc0ec2a55 f6bf8f0c9319dba7eb3a8d8f26c981030c18d0cd f7291ca4fc1c4517932c5db317945c571b294851 f8c3fdc619f9ab5164f66ec3efd6fde3e4ea4cd5 f94b6fb431a48c0edef6cdf09250af4e71e5fde3 fccb649cb17c8ca2b25385f6709b79d2fe8871cd fcfda1aff6fa79cf8c09448522a9b838801f99e4 fe11dd8c790437f81144060ca183c49efa75ac49 ffd60afe8d8470efa94f4bdc5b98a5023bb30b86 Package: asciidoctor Version: 1.5.7.1-1~nd~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 283 Depends: neurodebian-popularity-contest, ruby | ruby-interpreter, ruby-asciidoctor Multi-Arch: foreign Homepage: http://asciidoctor.org Priority: optional Section: text Filename: pool/main/a/asciidoctor/asciidoctor_1.5.7.1-1~nd~nd90+1_i386.deb Size: 64082 SHA256: 21ccd881c54d8bccdd6fe83a31bbe38580ad16611eec943f0bf04f36ab662167 SHA1: b8c3e36f3ec07379dafb83e9e78b54f24afabd6b MD5sum: cf8faf15c658fab09c4a4be238b8d9ac Description: AsciiDoc to HTML rendering for Ruby Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. Package: asciidoctor-doc Source: asciidoctor Version: 1.5.7.1-1~nd~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3302 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: asciidoctor Homepage: http://asciidoctor.org Priority: optional Section: doc Filename: pool/main/a/asciidoctor/asciidoctor-doc_1.5.7.1-1~nd~nd90+1_all.deb Size: 347256 SHA256: f996c1501927da9a0ace7c6a153ad41740a56bfb7752b286f9189f1d2294fa2c SHA1: 76333b1b8c79ac27f9009b779455c12b00825ebb MD5sum: 94accfce321463c3d9a562c8d4760b54 Description: AsciiDoc to HTML rendering for Ruby (documentation) Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. . This package contains the documentation for asciidoctor. Package: bats Version: 1.8.0-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 158 Depends: neurodebian-popularity-contest Recommends: parallel Homepage: https://github.com/bats-core/bats-core Priority: optional Section: devel Filename: pool/main/b/bats/bats_1.8.0-3~nd90+1_all.deb Size: 47858 SHA256: 5f309c3fe86c09bf42dbc3d2095995da826cbda6f97701921f65c9c4144195a5 SHA1: 91be5a417acdc26ca42e702365d454e00ac67b65 MD5sum: afded9bae73bc3de819f28cfd65f5e17 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 704 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), 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_i386.deb Size: 247990 SHA256: 9732fca7f7a76ef726c9723ffbcabaf5ecb53a7ee395eaae9c11f902ae1559e1 SHA1: 8305b4e7bf104fd01f581e811e7d2d90dbab833d MD5sum: 47b0f3b794b10d9f7676428a652e66cf 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: 0.32.5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 409 Depends: neurodebian-popularity-contest, perl, btrfs-progs Recommends: openssh-client, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.32.5-1~nd90+1_all.deb Size: 120168 SHA256: 5f86cd5cf54a87c2879f1a16d6124c3469ac8da8bbbafd1a3e0367a36c1f9237 SHA1: b6e6c4dacdeea0b8bd887ef01400021afa891e5c MD5sum: 643dfccc128c26996b885d6e4a00ac00 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3587 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_i386.deb Size: 507396 SHA256: c9e048d10e57fe05d9c10ec1021bcae5c384391b7e164cb4df70b170014160a5 SHA1: 036cd6521f935ac26a226f95baf3be7d4fb5448d MD5sum: 3180aead021724e9d6a0cf40070928c5 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4738 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_i386.deb Size: 3864176 SHA256: 8d792590674dc0acf6e98698772e14ae4fc96e8f0d8cd24b04a7955a9b2cb0f6 SHA1: be7c4227ded44f28f30cab694b04994addb6866d MD5sum: e89c6334f2a7a2efc65009f48877c2ed 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 895 Depends: neurodebian-popularity-contest, libc6 (>= 2.1) 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_i386.deb Size: 150432 SHA256: 8552ef745da8b3cb3e20d2666aad36242997acf6e463835deef4b1bbcd1335ab SHA1: 4340f69d196bbd423a2e86dd31b6c45b385e7360 MD5sum: 5523095bdf1c10feb9ac86359a04e7a1 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 166 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_i386.deb Size: 55546 SHA256: 41d8ebcfcb5f29b3bc38243da39ac6eea7d33ca49b5f41575d5b8f18d490a286 SHA1: cf01b8f436385cfb01ff49b7d8c74a2911944fe0 MD5sum: 8479e90cc65a1edca5a8ebc92f26cd5b 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24180 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.7), libdcmtk8, libfftw3-double3, libgcc1 (>= 1:4.2), 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_i386.deb Size: 3780968 SHA256: fb32f69e56154fe860d8dd11acabbdd0ffbfca8465527ec84caf737dffc50e2f SHA1: b25a42c53de5dd2a2d2020dace9dca1229f62dcf MD5sum: 01c6dc7098f3b459cb5185a3f381fd4c 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10742 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_i386.deb Size: 980648 SHA256: fe080f5b50c67f02550d7d7dde5b3918532c19e1eea30aab45be8bf4e3c4aadc SHA1: 5fc1da97343cf853738214b53acb686ff0a777f4 MD5sum: 856c64c010df2fb79c620a5f1f4df408 Description: Debug symbols for cmtk Auto-Built-Package: debug-symbols Build-Ids: 050f0bb18866fc0932f068727a4ec624256a97bc 063fe3d00992721602c46897d2482478ae1940f7 08e3357ef4ab5ef77d9609a36814f2a0fd0d1005 0d207ea0bbcfbb13b9d655b26cd72ff5d991e755 0e4b504e4b181de79c92a6655366858c63cc0e59 1292eea032b15d7b27626e6a095322bfef254852 1406827f3805deb2fc7e445c5044d9eecfe601db 18b48c3dec81a94b7951e17cbefd1a262f6fe4f4 18ef5ce05014ea5a798adb7d1c46a85648ea9f50 1993366910c7c5833714441d4779e36811af6320 1be9fec35c0a30801775820a8c92e0f0e22c39a9 1ede590c273a1613f30523c059c6f40584cf1368 244b62a0902619fae4bfdcd0d3f11a1f72c3c9a4 245d5a2158a1b9775062a60319652ee273ddceba 24691354c0c262c4d6937247afef2789ceac1a94 25195fdaebabd30b6d807abd7f5fd18b8ca5146f 298bc2610903f3d3c628fc2c447ff49928568fe7 2a2d04975aaecc3bf4101dece15605ec52986020 2e57987b56cf36ec47cf56f6d24da261e36a0555 2fb790765adc3b85d461febb99d3fb448e3bb0e0 32abd06fabf15039d471addb473bd1ba7882fe3f 32ceb6812ebcc94ca66ecac2823d9e81b1413f32 352e21a134e01567d6d93d6e56a809ae9eaf15e8 37f0f58c371b990ef32d62ccd427a2711f472e05 3c1cb0c10e775351c3a6aba566bd383da7e634fd 3eb5e268709b824a2cace0eb2056251da844cb77 44f682825e9f469ceaab1f1548e23bbd7cea2751 454a78789f224bff8b6547b9cbe6b6209bd25f50 470909b87f27c78cefb82e435bc097d5dd9fa674 4808de50882feaa7169036cc3aa03f7f443ce6cc 4b6b048b639e941713db3581ff4cb13c7ee5146d 4b8243221df208bb61ad61e9bb5428682a18397c 4bee5b238cc92ed3c530a53d93c4e94bd3c13f86 4cff263acdb55367337db6d6815e7d32b50cc875 4e836760536b114a031e87a9302c5fcecfef2286 5254986ef38ce0467488f6ec472d43c9ab25f53f 545a4670a080f91d135677ba45704a00b3e96a10 57087c3e1bfede5c67d0acb915c506eb597a906f 5c3ee4921d591a1758573bdb30b918e3f3009c5e 5e00d543005762fc4b3c3eb26de802fdd4bfa996 62999121fde9736e30a861036ae3b2ad333b7b8a 62c1542a4911f886f8efd072af8ee00d7b4d0a50 63c25739cf90d06effc9529fa1521473f2cc97ef 63f897d301bb57cc16b12dd469f1d55050e93bd6 657b795bac7d197c16fce0e558f44c9060af3a78 65f58be98f39a7a550961a01501fd6a8e51580f7 70f0671696c52da6061a3b178c6709ef75b53122 72112fc2533328908e7b55271752fe3bc3b9cc91 7334fda08fced4fb2d83d469183e5e7557a7437d 7c68f92e9013c8caaa493ba54414d5ddd17f4818 7d2b9da72fb5dbed3c7b08a8c10d5ec27a6342c2 81020a85a722556c345de6bc270a39feb0bbfa59 8263583734504c07f4fd0b29f4c809dce1064f32 88c92ea80cb1bb3eff792ddf9e22093376022bce 89311f6d69cc06533500e1966134ffb212d4ab97 8e04801b13363680251ad6f3ad68ee8dccf67137 910b619f7e4f98e3ce851ef13c6f4e168668ff34 941ae94a0fc799566f89e4a69cc288256b669e71 9a4906859824656a56c21a8de0145ae832b7889f 9c6c3f99f213df8e0dbea04b6a18dfc7b8b20c59 9e7849d06eef885a6d02b279ae10238c7f471e03 a45891e6b3e4db20ad2969697ca4c00733477fc0 a476d042c72d750c0c8b5cd4205d3117b5dad70b a4c375162df9926bfd74c898293fddf63f51c3b3 a4c827da50b829e27e79c199cb33fffbbc3f5c0e a4f6f16666c05d62dc2ee928b60c62d3a9812881 a909cf314063cee05312744812d10e28760b8690 a9dcf9a7f8242bfc6fe094024b5421aa911eff61 aa12d05ab59a612f80574c9b57c870f23890e02a abdd29513d4a19f1b4e92bf88ea38b73ebdc02d6 adcc9751b772e5446df6c4e3a7f2e731ccb050f9 aecc417ef17e75ce0b8d3d2cf2f8c733a9fe94e5 b0f294fa92c5703b09fbc5e7d7d2d2e97d798d98 b2c760912bbcbc887910546aaec88a81532cd0d9 b3cfff8d94ccfe3668e8853ad8477190c8928e00 bcc9e6a91ed7cff474bb1d3a19e88cab5a5363c8 c1c48976a26c1f44b28f684d88dc9c391d1b6df0 c95310ae5a7e39e9d23a4f8a2ae2540d842575f6 cb27d1e346ed8cc631a6ce08f997b3ee707517ea cde29154b064d6371c8b64bff6304be40de98411 d3b38ca53f462052ce36a6c3bdf728cdc2729979 d3b4f6218d978ca9abb1f33f07b56c6a21ce7711 d6e12d6718488bdead0ed30a40c418a4bc8e9761 dc595000410d94f19372bc23a9f360c43934a8fd dfd965e3cbcaf737ff8f76f349eb6b541edfddd9 e37addef5af0660f78cf2115c56799271ac038c2 e452a68daee67ab410132e2a61d647ed5bfcaee0 e623d768be5e4e356eb6c7b037655397e6c8a511 f47d0956257db3e79948cde80776d76adb6b2dfb f505f9d8aa978b55cae7f71d2645db918ba93e58 f8876e7fd1f0261a717b6d5009978d5f6cb3d32f f976c2758cfa3493bc0ac4c0647ffce9f1442e27 fbef9c209fc42f21d6dfe220d01e16d7d8cd5193 fca22719b51182c1dbe63433a78d33e17f651e1b fd7e8855be8da11d027e7d7309fe960034de3ef3 Package: cnrun-tools Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 21968 SHA256: 017e1aadcf558dabc7026cdfd4c2a3890f1348d63eefee59ae14db36ecd617c2 SHA1: c58c4a8ee3a3fa5e6f35682a6accd2450de2322e MD5sum: a403d288877c16861d59bbcede294d01 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 123 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_i386.deb Size: 100178 SHA256: 041868e008a6e0f86b3f79a4c505a6afc5cd65ed9db8f828bcca91eefd4ebc7e SHA1: 3bbff5f21e3ec54888365bc1f6185ff668de2902 MD5sum: f185c3515b564ede843f8eef7faf7aca Description: Debug symbols for cnrun-tools Auto-Built-Package: debug-symbols Build-Ids: 647c84cb10cec6d694b99e7cc86013c9a550c7f1 a0dc8bac2fd38734d3cfa8f1f4e6eb6476e550aa 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: 1.5.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 57189 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libftgl2 (>= 2.1.3~rc5), libgcc1 (>= 1:4.2), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libosmesa6 (>= 10.2~), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.6.0~beta), libqt5network5 (>= 5.0.2), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.7.0), libqt5xml5 (>= 5.1.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.2.3.4) Recommends: caret Suggests: ffmpeg Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: science Filename: pool/main/c/connectome-workbench/connectome-workbench_1.5.0-1~nd90+1_i386.deb Size: 25440534 SHA256: 8d4b08155fd2bb5968b2bcdbc3a28313c276c0cc98bd47d75b4d699a96d93590 SHA1: e9a2589beb4d93624fbccf9f03734eac9d536c78 MD5sum: 9bda027c000c3b80fe10745d99abf856 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: 1.5.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 229773 Depends: neurodebian-popularity-contest, connectome-workbench (= 1.5.0-1~nd90+1) Homepage: http://www.nitrc.org/projects/workbench/ Priority: optional Section: debug Filename: pool/main/c/connectome-workbench/connectome-workbench-dbg_1.5.0-1~nd90+1_i386.deb Size: 227193672 SHA256: 06a26e3737003f456e1e3aeb9175cbdac4d81496460beefb0487790ce4f430ed SHA1: 57bb8237464e00d437cdfa959d33dedc23d74b54 MD5sum: 42003a82103eafd57c7c57270df332ba 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: 6d927c0521d1e9b21ff848bd1cdceb8f66c337e0 6fce7a3a9c40c831b691c251e1dd06109fd4a897 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: 0.0.20190204-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 62048 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcharls1 (>= 1.0), libdcmtk8, libdouble-conversion1 (>= 2.0.0), libexpat1 (>= 2.0.1), 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_0.0.20190204-1~nd90+1_i386.deb Size: 9993550 SHA256: 898185aabec06f64e7b6ecf6a7ddd90f3c2a6c1e3c211efb258da9e0e95049cc SHA1: f7f10c8b8c13b615d55bd98c32e9b3b1b4a5f6f8 MD5sum: 6b8bc7526c53d706ebb7cf9aeaa6712b 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: 0.0.20190204-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 162393 Depends: convert3d (= 0.0.20190204-1~nd90+1) Homepage: https://sourceforge.net/projects/c3d/ Priority: extra Section: debug Filename: pool/main/c/convert3d/convert3d-dbgsym_0.0.20190204-1~nd90+1_i386.deb Size: 153293130 SHA256: 8917feda859ad397f430d2aa5160e59a183978b299b0f6469182aecefe816b51 SHA1: aac6bbf74047e21517935725199b08ea5535c9f8 MD5sum: df23e452709ce5d0ba17abd7cb8eed76 Description: Debug symbols for convert3d Build-Ids: 1057405d1c03242008f9e11534dc8faad08d09f6 3dcc3760e3dbbe589220a17723166d0a9fe42de0 48f9babe26d0d1eb7cfbaa87e00f03ae2ec65542 b64cc7571323101aa93b42f9d626aa6b5dd58cc6 c2db01bdc7ed373f9d0adcf8f92533ca1dd22f86 ee9a28ba3e756a5ff0caaa6499cb30bfff1d8265 Package: coop-computing-tools Source: cctools Version: 3.4.2-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3890 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), 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_i386.deb Size: 561650 SHA256: a702a5e69d3f083fc00015273acc32cf75164aad5857d4a75bc54cc113031f0a SHA1: c7b8101b6d0ccbb4e70069fe087693b4f9a55acb MD5sum: af3fc0f7d9bda62b923ac7620dfcd8d6 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 855 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_i386.deb Size: 162558 SHA256: 38c9ec79673beb97481a45ba58a6b29db98ed8351bd6def07c0fa991ad11f321 SHA1: 8b387e0a3b6f2ec48c5442ff08de389296eab897 MD5sum: 7cb4fb6be77aff51f9f2145f7e626144 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: copyq Version: 3.6.1-1~nd1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4854 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.2), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.7.0), libqt5network5 (>= 5.0.2), libqt5script5 (>= 5.6.0~beta), libqt5svg5 (>= 5.6.0~beta), libqt5widgets5 (>= 5.7.0), libqt5x11extras5 (>= 5.6.0), libstdc++6 (>= 4.8), libx11-6, libxtst6 Recommends: copyq-plugins (= 3.6.1-1~nd1~nd90+1) Suggests: copyq-doc Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: utils Filename: pool/main/c/copyq/copyq_3.6.1-1~nd1~nd90+1_i386.deb Size: 1364918 SHA256: e3a429d31923cf8dd845d14cdd8377c460516434cf5bbc80bfbcad2a1dabf084 SHA1: 76c07379ac480b8ae4b940202cb6dce2062edc50 MD5sum: 7ba6d97e587034ba7732bdd64d9a6931 Description: Advanced clipboard manager with editing and scripting features CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . Items can be: * edited with internal editor or with preferred text editor, * moved to other tabs, * drag'n'dropped to applications, * marked with tag or a note, * passed to or changed by custom commands, * or simply removed. . Features: * Support for Linux, Windows and OS X 10.9+ * Store text, HTML, images or any other custom formats * Quickly browse and filter items in clipboard history * Sort, create, edit, remove, copy/paste, drag'n'drop items in tabs * Add notes or tags to items * System-wide shortcuts with customizable commands * Paste items with shortcut or from tray or main window * Fully customizable appearance * Advanced command-line interface and scripting * Ignore clipboard copied from some windows or containing some text * Support for simple Vim-like editor and shortcuts * Many more features Package: copyq-dbgsym Source: copyq Version: 3.6.1-1~nd1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 14435 Depends: copyq (= 3.6.1-1~nd1~nd90+1) Homepage: https://hluk.github.io/CopyQ/ Priority: extra Section: debug Filename: pool/main/c/copyq/copyq-dbgsym_3.6.1-1~nd1~nd90+1_i386.deb Size: 14313142 SHA256: 38c8b49ccf4b8330bd1eeaab41b83b33b43064c4e6b383ba2a0d5f7cdeead535 SHA1: f19f73a0ac778bdd35476145f83891c5d4540d75 MD5sum: 466d7faaab3a0db69f93ec24dcf5b838 Description: Debug symbols for copyq Build-Ids: 8bd102c894abb773c836c46ebea6f96efaeebd98 Package: copyq-doc Source: copyq Version: 3.6.1-1~nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1607 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Built-Using: sphinx (= 1.4.9-2) Multi-Arch: foreign Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: doc Filename: pool/main/c/copyq/copyq-doc_3.6.1-1~nd1~nd90+1_all.deb Size: 907462 SHA256: a82725323bac1be99cd24e61000ee66752a468b33774bdcf9d07c80ea863dee8 SHA1: cb7b35f57176487894033d0b34ada15b5e089f8a MD5sum: 6320caea4d306b0560d14ad6899f393a Description: Documentation and examples for CopyQ - HTML format CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . This contains the documentation in HTML format. Package: copyq-plugins Source: copyq Version: 3.6.1-1~nd1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2639 Depends: neurodebian-popularity-contest, copyq (= 3.6.1-1~nd1~nd90+1), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.2.0), libqt5widgets5 (>= 5.7.0), libstdc++6 (>= 4.8) Homepage: https://hluk.github.io/CopyQ/ Priority: optional Section: utils Filename: pool/main/c/copyq/copyq-plugins_3.6.1-1~nd1~nd90+1_i386.deb Size: 625170 SHA256: c4536737e83e55b84278c2234973b28cbe2fd5afa2272de03fbbfa8493fc3d94 SHA1: 3132ab6f0315039b1e18346271b5f84a109d038f MD5sum: 1e3bc22da52749850c93cae7523c6623 Description: Plugins for CopyQ CopyQ monitors system clipboard and saves its content in customized tabs. Saved clipboard can be later copied and pasted directly into any application. . This package contains plugins that add various item types support and features to CopyQ, including: * Text with Highlighting * Images * Web Pages * Various Data * Notes * Encryption * FakeVim Editor * Synchronize Items to Disk * Item Tags * Pinned Items Package: copyq-plugins-dbgsym Source: copyq Version: 3.6.1-1~nd1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10711 Depends: copyq-plugins (= 3.6.1-1~nd1~nd90+1) Homepage: https://hluk.github.io/CopyQ/ Priority: extra Section: debug Filename: pool/main/c/copyq/copyq-plugins-dbgsym_3.6.1-1~nd1~nd90+1_i386.deb Size: 10525444 SHA256: 212a9414542c1a5a186c731bd772d24766d29354861f478a30cd6573c30738e7 SHA1: 481d4fb280fa05630611da66241f943bcb09f167 MD5sum: 1afc6f94c1bfe5a59ed4e209bd8b8f32 Description: Debug symbols for copyq-plugins Build-Ids: 3ccd871c1c741cc52192ee6a4eca929a83267362 4bc2e2949613d0867856f1774e375e85a2135444 8cad9f6a3762c7a60704d6f2922d1dda67cfdcf5 aa07ba86c7629568b540741b765c77a44c9332f0 adffaeeafbfdc2fc05597da726bc312de1fec6df c21613189e4ab430419607edf0c7f0be57b3ee28 ca13fae95097c12f3f9f2ac1b3f161873ce1308d cc04a3396ba2fe48a3603d8542dc72c337d42ddf e3d093a0bafeb2e099c284e82071872aed2fabb8 Package: cython Version: 0.29.2-2+nd1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6597 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.4) Recommends: python-dev, gcc Suggests: cython-doc Homepage: http://cython.org/ Priority: optional Section: python Filename: pool/main/c/cython/cython_0.29.2-2+nd1~nd90+1_i386.deb Size: 1291548 SHA256: 02bc57bcf18cd08495b7193e55dc0c69f0172f8bd59f4b5bddb1c90d4ad49c51 SHA1: 8c5134f3b492af882d0d700bf4549b08ae04f9ac MD5sum: ce79dabf8be16a49d5b522c231f5c52f Description: C-Extensions for Python Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations. . The Cython language is very close to the Python language, but Cython additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. . This makes Cython the ideal language for wrapping external C libraries, and for fast C modules that speed up the execution of Python code. Package: cython-dbg Source: cython Version: 0.29.2-2+nd1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10050 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), cython (= 0.29.2-2+nd1~nd90+1) Homepage: http://cython.org/ Priority: optional Section: debug Filename: pool/main/c/cython/cython-dbg_0.29.2-2+nd1~nd90+1_i386.deb Size: 3885202 SHA256: 7d5d346c9fa005c540dedbfce5b5dc5da0621c8c21cb6d40bd8ad2a0666b5c1c SHA1: 70a558413b5157c19dad424e2c577e2b4f0c4148 MD5sum: b06b467bdbedde4e3de279bc11de07ca Description: C-Extensions for Python - debug build This package contains Cython libraries built against versions of Python configured with --pydebug. Build-Ids: 108a8583f4c016bc94fc52758bb3d20a8829f492 50b26de4eaa379ea9ed3c4fd0b9adaa335e40c2b 601b644022869297b4dc9a0443914b2b75c32509 b42f8e19fe088f76fcc812f850f62f78755ecbe7 bf6c7a56e97a07c9ea1beede64157ce363118e18 c310a7ff014c395f02866948b246e2a04543bbbe da2bdec1b674316bf1152dcc63ee2274f0646a1b ed83590d43c44e17f512f580edf74789ffaedd83 Package: cython-doc Source: cython Version: 0.29.2-2+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2745 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: cython Multi-Arch: foreign Homepage: http://cython.org/ Priority: optional Section: doc Filename: pool/main/c/cython/cython-doc_0.29.2-2+nd1~nd90+1_all.deb Size: 621382 SHA256: 43c507888f12cb4aae34ea55206a66ff315c7b3e3305de663a95514ff1ad6c2b SHA1: 06050772dd8a29a6023fa8d8bd7e4bbf40792036 MD5sum: 204d2e1a355b8dfd8bf7f824bbf95fd2 Description: C-Extensions for Python - documentation This package contains documentation for Cython. Package: cython3 Source: cython Version: 0.29.2-2+nd1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6611 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3:any, libc6 (>= 2.4) Recommends: python3-dev, gcc Suggests: cython-doc Homepage: http://cython.org/ Priority: optional Section: python Filename: pool/main/c/cython/cython3_0.29.2-2+nd1~nd90+1_i386.deb Size: 1295530 SHA256: 4e0b9ee179768c2e844058c239a2b0a53e1dcb9e1a5e5557af0c52c3452d415e SHA1: 788d001094fe7227f51561e64b947957fee1ba4e MD5sum: f90d73d663fb46828604b8e076eb0313 Description: C-Extensions for Python 3 Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations. . The Cython language is very close to the Python language, but Cython additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. . This makes Cython the ideal language for wrapping external C libraries, and for fast C modules that speed up the execution of Python code. Package: cython3-dbg Source: cython Version: 0.29.2-2+nd1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11799 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), cython3 (= 0.29.2-2+nd1~nd90+1) Homepage: http://cython.org/ Priority: optional Section: debug Filename: pool/main/c/cython/cython3-dbg_0.29.2-2+nd1~nd90+1_i386.deb Size: 4631928 SHA256: 2d81f313a41f804fee65a1907529e720eabdf96592be53c0d130b03ac2553147 SHA1: a003697426771320dde91fa9bc2cfafc8b22457b MD5sum: cea7fc8bd81b186ca0bfa6993c690f57 Description: C-Extensions for Python 3 - debug build This package contains Cython libraries built against versions of Python configured with --pydebug. Build-Ids: 052f63d420600af3a8fac4025854fabfac2b89c5 419a3688e444020cf5c706ad3a8166f125405334 4f190a3b9e5a4888acc9fa13fd9dc87afc076b95 6c3438cf69b685e87db10ddef32592789157780a a025257ea4adb595c718920288b2ef7c79c06d48 b1f9148e001a6b2f3b94cf465288122fb221c782 b738ed821c0ca1bcd691952138fa4c678422841b cea8fb967397e5ad7da3ee2f8e79d2be71a0fe13 Package: datalad Version: 0.13.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 178 Depends: neurodebian-popularity-contest, python3-datalad (= 0.13.7-1~nd90+1), python3-argcomplete, python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.13.7-1~nd90+1_all.deb Size: 137348 SHA256: b57db38973bb9908cfd00f1106fffe9021f2454880ad01c01eb70b5da0eed762 SHA1: b0de191e0cfc07d695af5df1e07b4d038fcd4c46 MD5sum: cbf7dab9578f1ee809c91e6773cf7ef7 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) Package: datalad-container Version: 1.1.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 116 Depends: neurodebian-popularity-contest, datalad (>= 0.13~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3:any Recommends: singularity-container Suggests: docker.io Homepage: http://datalad-container.rtfd.org Priority: optional Section: science Filename: pool/main/d/datalad-container/datalad-container_1.1.2-1~nd90+1_all.deb Size: 26434 SHA256: 4d8f226edbb266962394e93ac55ae5e7d494206b8e6404a9b933096ae8a9d970 SHA1: 24195aa26da9ec42cb5abc8c841ad87fa270e342 MD5sum: 4a2570b16d21f0cf8f9ba63dc95e621a Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: dcm2niix Version: 1:1.0.20220720-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1070 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), libyaml-cpp0.5v5 Homepage: https://github.com/rordenlab/dcm2niix Priority: optional Section: science Filename: pool/main/d/dcm2niix/dcm2niix_1.0.20220720-1~nd90+1_i386.deb Size: 257340 SHA256: 9f46ebfde38a55b113169101e974be5cb154f5bc84a54abb144d76a84af905bb SHA1: 0f7f08a6ab9352547dcf613e2ad3d64dfa400f40 MD5sum: d75386576aabf96d52dbc9ea2d9eb560 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: 1:1.0.20220720-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 862 Depends: dcm2niix (= 1:1.0.20220720-1~nd90+1) Homepage: https://github.com/rordenlab/dcm2niix Priority: extra Section: debug Filename: pool/main/d/dcm2niix/dcm2niix-dbgsym_1.0.20220720-1~nd90+1_i386.deb Size: 801686 SHA256: 80732691e1293098ee4a6413488631f3aac1b0048d0288fd8caa3ddebd0421a5 SHA1: dcd36f54c7759cf4195f18845bc64d24a564425a MD5sum: c224de5757ece941c9e7bbf466e194a3 Description: Debug symbols for dcm2niix Build-Ids: 2420cdf474cd0c06f86051a9e74a836d566351bc 7ffe113dd1fa83cc10746e0a3eb2f1387de3b402 Package: debhelper Version: 12.1.1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1601 Depends: neurodebian-popularity-contest, autotools-dev, dh-autoreconf (>= 17~), dh-strip-nondeterminism (>= 0.028~), dpkg (>= 1.18.0~), dpkg-dev (>= 1.18.2~), dwz, file (>= 3.23), libdpkg-perl (>= 1.17.14), man-db, po-debconf, perl Suggests: dh-make Breaks: cmake (<< 3.9~), dh-systemd (<< 1.38), meson (<< 0.40.0~) Replaces: dh-systemd (<< 1.38) Provides: debhelper-compat (= 9), debhelper-compat (= 10), debhelper-compat (= 11), debhelper-compat (= 12), dh-sequence-dwz, dh-sequence-installinitramfs, dh-sequence-systemd Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/d/debhelper/debhelper_12.1.1~nd90+1_all.deb Size: 1010460 SHA256: ae67dc61b3cc57a1741e91fa5e5e28d62f5095904d0ae8ff6b466ac477262288 SHA1: 81357d63f4b2854b32c1053a9d4b28475069880b MD5sum: cf38d8ec7f19495c1cd566be361537c9 Description: helper programs for debian/rules A collection of programs that can be used in a debian/rules file to automate common tasks related to building Debian packages. Programs are included to install various files into your package, compress files, fix file permissions, integrate your package with the Debian menu system, debconf, doc-base, etc. Most Debian packages use debhelper as part of their build process. Package: 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 137 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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_i386.deb Size: 35798 SHA256: 5483757b907689394c082d7ffedca36f362e2cb27ef623734d0a9bb5581f6442 SHA1: 1585839706978c785e4ecd5f5d62c94eda4a200c MD5sum: 7b539725dca29cfbb88081cd3e7fdd04 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-autoreconf Version: 17~bpo9+1 Architecture: all Maintainer: Julian Andres Klode Installed-Size: 45 Depends: perl, debhelper, autoconf, automake, autopoint, libtool (>= 2.4.2) Enhances: cdbs, debhelper Breaks: dpatch (<< 2.0.38+nmu1~), quilt (<< 0.63-8.2~) Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/d/dh-autoreconf/dh-autoreconf_17~bpo9+1_all.deb Size: 16758 SHA256: 98fe07ec21ece2db5a9e3d352d6beff959cbaf39171106c0c394b551e39d0ece SHA1: 276f4451f8880cdd86c7f29adfe3b853c5bc61e2 MD5sum: 6ad0d97473fae7721c399f4d64ca228b Description: debhelper add-on to call autoreconf and clean up after the build dh-autoreconf provides a debhelper sequence addon named 'autoreconf' and two commands, dh_autoreconf and dh_autoreconf_clean. . The dh_autoreconf command creates a list of the files and their checksums, calls autoreconf and then creates a second list for the new files. . The dh_autoreconf_clean command compares these two lists and removes all files which have been added or changed (files may be excluded if needed). . For CDBS users, a rule is provided to call the dh-autoreconf programs at the right time. Package: dh-octave Version: 0.6.0~bpo9+1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 61 Depends: neurodebian-popularity-contest, liboctave-dev (>= 4.2.1-5), debhelper (>= 11), cme, libparse-debcontrol-perl, libmime-tools-perl, dh-octave-autopkgtest, perl Priority: optional Section: devel Filename: pool/main/d/dh-octave/dh-octave_0.6.0~bpo9+1+nd1~nd90+1_all.deb Size: 19966 SHA256: 22ec43c2d7763f2069ff40942dc86ea96b637181d8708fae5a33be1e34c93d88 SHA1: ca7cfc266cb5d6d84c529338ec7555f8e10f05f9 MD5sum: 004fc04d97931a51d682c2e5e09e14ac Description: Debhelper-based infrastructure for building Octave add-on packages Since version 3.0 of Octave (a numerical computation software), add-ons can be installed through the pkg.m system. This package provides the infrastructure for packaging such add-ons for Debian, based on debhelper. It replaces the deprecated octave-pkg-dev package. This package contains debhelper-like scripts for building, checking and cleaning the add-on package as well as for generating the substitution variables in debian/control. . This package is intended to be used by the Debian Octave Group and should be of little interest to general users. Package: dh-octave-autopkgtest Source: dh-octave Version: 0.6.0~bpo9+1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, gnuplot-nox, fonts-freefont-otf Priority: optional Section: devel Filename: pool/main/d/dh-octave/dh-octave-autopkgtest_0.6.0~bpo9+1+nd1~nd90+1_all.deb Size: 8408 SHA256: 150ab1c92393572da1f4a29964b8124ba9125c891da9bd7e240b924c5861235e SHA1: 50e4fad130d8b1fb8495cd15dea642211696dd47 MD5sum: 16e292bcc472810774e457fa7aaf5159 Description: script for the automatic testing of Octave add-on packages This package contains the dh_octave_check script that runs the unit tests contained in all *.m and *.cc files available in the source tree from which it is launched. It is intended to be used by the support for Octave-Forge add-on packages, which is implemented in autodep8. Package: dh-python Version: 3.20180723~bpo9+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 445 Depends: neurodebian-popularity-contest, python3:any, python3-distutils | python3 (<< 3.6.5~rc1-1) Suggests: libdpkg-perl, dpkg-dev Breaks: python3 (<< 3.3.2-4~) Replaces: python3 (<< 3.3.2-4~) Multi-Arch: foreign Priority: optional Section: python Filename: pool/main/d/dh-python/dh-python_3.20180723~bpo9+1~nd90+1_all.deb Size: 95650 SHA256: 2d598aedca9f8c85667fcf1bcfccef43f6036d14b339e42d3c3207ae1c6c8260 SHA1: 2b4be954d570f87ed8966417047e54c91341b037 MD5sum: b3391c287b0a9362b2449dfcabff6081 Description: Debian helper tools for packaging Python libraries and applications This package contains: * pybuild - invokes various build systems for requested Python versions in order to build modules and extensions * dh_python2 - calculates Python 2.X dependencies for Debian packages, adds maintainer scripts to byte compile files, etc. * dh_python3 - calculates Python 3.X dependencies for Debian packages, adds maintainer scripts to byte compile files, etc. * dh_pypy - calculates PyPy dependencies for Debian packages, adds maintainer scripts to byte compile files, etc. Package: dh-systemd Source: debhelper Version: 12.1.1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 126 Depends: neurodebian-popularity-contest, debhelper (>= 9.20160709) Multi-Arch: foreign Priority: optional Section: oldlibs Filename: pool/main/d/debhelper/dh-systemd_12.1.1~nd90+1_all.deb Size: 122570 SHA256: 70846d7d87e5b8d9e633bcb59be73dc8a5f53c7c90e76ecb2f9a747013467255 SHA1: 3940fa4244e41e0d6bc924bcff9edb4518665236 MD5sum: 6e6870398e4d6bc6d5b28b6c52df06fe Description: debhelper add-on to handle systemd unit files - transitional package This package is for transitional purposes and can be removed safely. Package: dicomnifti Version: 2.32.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 483 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 97050 SHA256: 976c7a3d0749b5d82a684862977bbc96aa9375baf404128162491df4bcc439cb SHA1: 3a675054b72246de0697218890c348d2337cb6e0 MD5sum: a4587f2781adfa1767549f13157a21f5 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2800 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_i386.deb Size: 670466 SHA256: b079571e2f3677ab2554791dcfe5ed65a81db1598695be10b9ced18fae6a62c6 SHA1: cf442a15930f44b87f83eea5cfcc235c7c4e9dd3 MD5sum: 8567b2f1533f87e69d25d1ef9cac11f2 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 20321 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_i386.deb Size: 4329140 SHA256: df47b6d491e04da2edb6b6d7e495299bd4035491595339804845ed4f4dc19cba SHA1: 05dd6e3a55cee43eae58680fc269b086f1c51188 MD5sum: cb5cd7a75db75851c9f37467a7532827 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: dwz Version: 0.13-5~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 446 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libelf1 (>= 0.131) Multi-Arch: foreign Homepage: https://www.sourceware.org/dwz/ Priority: optional Section: devel Filename: pool/main/d/dwz/dwz_0.13-5~nd90+1_i386.deb Size: 140092 SHA256: 1e843069258caf88ce42293620476c861e273cd1923bcf80da0af5e9913297e4 SHA1: 95c4f1c05d6db1faf82e7cf0cadcc6f4ab80262b MD5sum: 659c0fb0e205eeca8f98425174ebab5b Description: DWARF compression tool DWARF optimizer and duplication removal utility. Package: edac-utils Version: 0.18+git12-gd98769e-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 80 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+git12-gd98769e-1~nd90+1_i386.deb Size: 25230 SHA256: 47799a3c25de6b2e5a2e1feda5a0fecd0e559be7b5e7b878b4622e080f209b9c SHA1: 2f54cf4ade300e47aa4f6d44d3d560310c5c26fa MD5sum: e106451bb447e93f0e96b87337cb7522 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: exempi Version: 2.4.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd90+1), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2) Multi-Arch: foreign Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: graphics Filename: pool/main/e/exempi/exempi_2.4.1-1~nd90+1_i386.deb Size: 20340 SHA256: 685d667a31f1a317b18b9d13e7f41b9bbe310cfbf84744247328fda7b3d229c6 SHA1: 44fd43d42a278a053e41c49af71ffb2b1a2e2b5f MD5sum: 4648e5f15ab812154d87f9c7af594696 Description: command line tool to manipulate XMP metadata Exempi is a library to parse XMP metadata as defined by the specification. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides a command line tool to manipulate XMP metadata. Package: exempi-dbgsym Source: exempi Version: 2.4.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 60 Depends: exempi (= 2.4.1-1~nd90+1) Breaks: libexempi3-dbg (<< 2.3.0-1~) Replaces: libexempi3-dbg (<< 2.3.0-1~) Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: extra Section: debug Filename: pool/main/e/exempi/exempi-dbgsym_2.4.1-1~nd90+1_i386.deb Size: 46954 SHA256: 61963885326a80216a7f4366f3b354a3a2250c0f9875d6ca6925f759dad35264 SHA1: 40151cf83c19e32edd6485bf4340b588bb00540f MD5sum: c46a691e25be031bade0bf092217cd4b Description: Debug symbols for exempi Build-Ids: c6645105f8d815580b505bb4be9d129db34785b3 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 144 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 45258 SHA256: c0a776db0d31bc81daf79a9d3f6c01367880cd729acf0b64f830a1cefd7b65be SHA1: 0b29e1ea18e413dd75fabd04f08e8f4beff74905 MD5sum: 2f441f6d7fc080b7de2ffd2a55214bcc 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 132 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 39790 SHA256: 7226ed33ec68c8cdb35623696ffad6e022380f077f53e99417938a009cf0b96f SHA1: 4c9ea00a482f61466df5df660d1f876ae3c87956 MD5sum: 189d89f69324d713eb9de6b8b2b5480d 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 219 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 82188 SHA256: 916c0c7b021f0bb05e16127459efb0089455e2f0565273e1bf4e542728d8aaa5 SHA1: f51495f27d142fa3f75819d79b83c2c80486c6c6 MD5sum: f5d4ac44f4b9ac6167a0608615fb39bb 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3080 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_i386.deb Size: 623342 SHA256: 40bfb5a94b67576671fa0d0af843dd5fd0eb8593d510ecbfe893862c186120fb SHA1: 8061daac56fe1cf04a1feb72120bbdb04de2d737 MD5sum: 98905fde6eafeb66e539de6d8d1fad07 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: 1:0.5.3-3~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, libfreenect-bin, libfreenect-dev, libfreenect0.5, libfreenect-doc Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/freenect_0.5.3-3~nd90+1_i386.deb Size: 8952 SHA256: 00fdfe2d8b73eb2cace49146b3e0a0a9c2cde6cff6bf749c8ae45e6cc006419e SHA1: 9a317d6f513858f9493510ad1dfc80d7bd59f82e MD5sum: 4b736c56d8c13d33a79af30ea1981b14 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6132 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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_i386.deb Size: 1270482 SHA256: 8ab6682e3b701b141a8aa1bad0b9c2f0e322fb3677f6807b0eab2f9961bec5f8 SHA1: ade35ba500b0fb5a899b84e778fb1bcd37ef0fa3 MD5sum: ca2b27e84636f6001d31fb4f327cf130 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 212 Depends: neurodebian-popularity-contest, libboost-filesystem1.55.0, libboost-program-options1.55.0, libboost-system1.55.0, libc6 (>= 2.1.3), 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_i386.deb Size: 51830 SHA256: 993bd4698945d68525845c96e322900d94000d848c74cea8e9fb9049e55a3d8e SHA1: 36a94c9de2ff90a63d10349dcd8a149fd07fdf9b MD5sum: 33438e66d8d9568f4dec13834c066343 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 92 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libexpat1 (>= 2.0.1), libgiftiio0, libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: utils Filename: pool/main/g/gifticlib/gifti-bin_1.0.9-2~nd90+1_i386.deb Size: 23636 SHA256: 777b45b509074c079f76e7c801a5744c84d86d7068ee6ce73e20d2544b81a398 SHA1: b29467f681ac582a912cfa3374a45138e0a55493 MD5sum: 592de640a62152b682f595614c4e94b9 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 23 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_i386.deb Size: 3822 SHA256: 240b550bdfa896e171b84310231617571cd9a890a301442e87366aa44900cd9b SHA1: f61a293298d982318f29d2805cc94b67eb22da84 MD5sum: 1f9c47151e541554efcfc8818a48dc61 Description: Debug symbols for gifti-bin Build-Ids: 6b6723a441a3aeed73f790a6e7b8185ec0eca547 de45bd99bc9e27f87d23eedde596133b02fa41da Package: git Version: 1:2.11.0-3+nd1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 32464 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_i386.deb Size: 4868906 SHA256: 2d4e48e6c765cf357c29621cb2ac7d618fdeda07f936a54ecea482278a72d5b3 SHA1: 37745dc73906dd9d946446401385af49430418d5 MD5sum: a8ceb8ba13d6864c122f63fec4ba074d 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: 0.6-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.6-1~nd90+1_all.deb Size: 8100 SHA256: f42623fb1b58a4696f0407c16fc188ca6fe2caef715585de7b6cbdb3906cfa36 SHA1: da50ee00bc0ff4b5be290032ea4c1e1d08a1e224 MD5sum: 6fbda680b0acce7bda7c4898621cf4d0 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: git-annex-standalone Source: git-annex Version: 10.20241031-1~ndall+1 Architecture: i386 Maintainer: Richard Hartmann Installed-Size: 236968 Depends: git, netbase, openssh-client Recommends: lsof, gnupg, bind9-host, yt-dlp, git-remote-gcrypt (>= 0.20130908-6), nocache, aria2 Suggests: xdot, bup, adb, tor, magic-wormhole, tahoe-lafs, libnss-mdns, uftp Conflicts: git-annex Breaks: datalad (<= 0.12.3~) Provides: git-annex Homepage: http://git-annex.branchable.com/ Priority: optional Section: utils Filename: pool/main/g/git-annex/git-annex-standalone_10.20241031-1~ndall+1_i386.deb Size: 68790604 SHA256: 54a538b686e2e3c42f6cf7260adc0ffe9710f3c6acc07a3b0832df703dba5a6b SHA1: be36d7de781610ad2928fe4ce19fa9ff92631f78 MD5sum: 97eb9b52c155f9c314da9711f48b2ed7 Description: manage files with git, without checking their contents into git -- standalone build git-annex allows managing large files with git, without storing the file contents in git. It can sync, backup, and archive your data, offline and online. Checksums and encryption keep your data safe and secure. Bring the power and distributed nature of git to bear on your large files with git-annex. . It can store large files in many places, from local hard drives, to a large number of cloud storage services, including S3, WebDAV, and rsync, with dozens of cloud storage providers usable via plugins. Files can be stored encrypted with gpg, so that the cloud storage provider cannot see your data. git-annex keeps track of where each file is stored, so it knows how many copies are available, and has many facilities to ensure your data is preserved. . git-annex can also be used to keep a folder in sync between computers, noticing when files are changed, and automatically committing them to git and transferring them to other computers. The git-annex webapp makes it easy to set up and use git-annex this way. . This package provides a standalone bundle build of git-annex, which should be installable on any more or less recent Debian or Ubuntu release. Package: git-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 28623 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_i386.deb Size: 27343220 SHA256: 1e0eb96f5ea2a0abefb6df5c53d54ae63b248c768b4effb9e59ab9e85d755194 SHA1: 6c2f40fee2cb20445a11c5e7a50d04fc2eee0cd5 MD5sum: 3b0301089308b4e7b700f7f14eacbf23 Description: Debug symbols for git Build-Ids: 0b151156d6894b1da27cd06ec976c7886fb7a6f8 0ecc5c163d71386545981c3af03afafb9100f78f 11055607ddc7be82d2e2e937d639d229413a703b 192acb053bd89ca3690ac66b1c34abad9f78d460 1b02507e1446c744837d9f7a406bf8f459b84ebc 1b02507e1446c744837d9f7a406bf8f459b84ebc 3dad0c438755e0cb4e74b1918e9dcc66b3483a68 414deac2f89ba4be461fcf774bccb37f99a3b062 5320e495df6ad38e7be573d51176b8ae4e89252f 5b8a59360176ba78dfbb7085288f0340507d88d0 5cd0e5a080b932a22eac26ad37c00354f2e2e2bc 7364bb8c02addf3481d0b42aa5ecf53d98bb502a 7364bb8c02addf3481d0b42aa5ecf53d98bb502a 7a84fb969f5bb27a0f2c539d4ef3271d9eec076c a1149bf20768be7da74037e86fe0389b93bc242b dca445db7b9c006ffa4374c2b0a142116d52991c dca445db7b9c006ffa4374c2b0a142116d52991c eba89ef5db5aad88796642dee23580ad28f4891d ed95ecd41101a84f5407d5da676477c1dca6c135 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 352 Depends: neurodebian-popularity-contest, libglew1.9 (= 1.9.0-3~bnd1~nd70+1+nd90+1), libc6 (>= 2.1), 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_i386.deb Size: 94102 SHA256: 40d3fd31a00fef644860af640f65953950840904ef10c03090cf38face9e135c SHA1: a5ec37ec4fd11b581cfc78ab58d7f2b9847da112 MD5sum: 10d6c19998c2ccde88646b843abd4a4e 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: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 50 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_i386.deb Size: 14448 SHA256: 7da707feefb5ec2a3c7338330eaf983d1eb52b6722f9c7273d87f78d988ea86d SHA1: faf30cd7d5737b063547959e42c1476bea7232ea MD5sum: 3e46e9c451d5a9bae9aeb8e37eae1c46 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: 0.5.4-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 977 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_0.5.4-1~nd90+1_all.deb Size: 251776 SHA256: c781446cf3db2207f222dbb5f9c8408fcaf904bd5622998a2725df1ff0f6b383 SHA1: d08c13f299ca0dc1ca25e7b73accfbec50867860 MD5sum: a36214287d0e7dfbfbb85c0850265b37 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 15154 Depends: neurodebian-popularity-contest, debconf (>= 0.5) | debconf-2.0, libc6 (>= 2.15), libcgroup1 (>= 0.37.1), libclassad7, libcomerr2 (>= 1.01), libcurl3 (>= 7.16.2), libexpat1 (>= 2.0.1), libgcc1 (>= 1:4.1.1), libglobus-callout0 (>= 3), libglobus-common0 (>= 15), 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 (>= 6), libglobus-gsi-proxy-ssl1 (>= 4), libglobus-gsi-sysconfig1 (>= 5), libglobus-gss-assist3 (>= 9), libglobus-gssapi-error2 (>= 4), libglobus-gssapi-gsi4 (>= 10), libglobus-io3 (>= 11), libglobus-openssl-module0 (>= 3), libglobus-rsl2 (>= 9), libglobus-xio0 (>= 5), libgsoap7, libgssapi-krb5-2 (>= 1.6.dfsg.2), libk5crypto3 (>= 1.6.dfsg.2), libkrb5-3 (>= 1.10+dfsg~), libkrb5support0 (>= 1.7dfsg~beta2), libldap-2.4-2 (>= 2.4.7), libltdl7 (>= 2.4.2), libpcre3 (>= 1:8.35), libssl1.0.0 (>= 1.0.0), libstdc++6 (>= 4.9), libuuid1 (>= 2.16), libvirt0 (>= 0.5.0), libx11-6, zlib1g (>= 1:1.1.4), python, perl, adduser, libdate-manip-perl Recommends: dmtcp Suggests: coop-computing-tools 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_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 4403906 SHA256: d948b60bd11a2a9c21bacd1d4dbe3d32b8e2fe9418972c1f74df813ea15acf22 SHA1: f4702ccae6cd1a1a44502f5f49dbc038fff573c0 MD5sum: 95f34993562abbeb5301340815524868 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 33002 Depends: neurodebian-popularity-contest, htcondor (= 8.2.8~dfsg.1-1~nd80+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_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 31150676 SHA256: 1d0b8a7ee638e957b891e31c61ef254d4598c59b6f4d243922b2fa4096b54489 SHA1: 441d9868672eed458115bb363a7f9f79701f806a MD5sum: 95c3898df5d0af672626c4c0886628a8 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. Package: htcondor-dev Source: condor Version: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1232 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: devel Filename: pool/main/c/condor/htcondor-dev_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 286926 SHA256: 1da6bd04f91941acbb6561ef3495b43e32175f111733242d7958637b8f69b55e SHA1: cb16329534b615931adef99e9140826b4ebeaf87 MD5sum: 192b0fc720dae8d2801783c0a137095d 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: 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 408 Depends: neurodebian-popularity-contest, ismrmrd-schema, libismrmrd1.3 (= 1.3.2-1~nd90+1), libboost-program-options1.58.0, libc6 (>= 2.4), 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_i386.deb Size: 128330 SHA256: 87a13401bd84f6d0f7c70f61f155fdadc2b6861280feff5542787040cb9b6172 SHA1: c11b33f59bb94e4b77e10567c4814e7244278707 MD5sum: 3338b4137aefd952b72604ca2b194241 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: i386 Maintainer: NeuroDebian Team Installed-Size: 13760 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_i386.deb Size: 3045534 SHA256: ee69ece34fed0ba5ea2ea7a59570a5bf3731e5b8c3b7858b5c4f1cda7eaad59c SHA1: 8fe877b4480147c64420ebc62cc71d81f42d15ba MD5sum: d9b592645c23cd671baac4f36732836c 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: klustakwik Version: 2.0.1-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 75 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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_i386.deb Size: 20252 SHA256: 80aed052530b742f8713ce2f1acc42fe0d8552afeab7fcc96978650467a0579e SHA1: 37bf9bfe689ab84a4d2dbda5e3330a9da0590c8f MD5sum: ee0ce94eb94c6ca70670e70e24c1d1c1 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1370 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_i386.deb Size: 311510 SHA256: 8fdd56c655a791274e24bd4813052064ec0ac2611e95bac4fe704e8e2c46c2e3 SHA1: 957d6dbf305977af619e9e33d9f6565e9dbbe78c MD5sum: 722b048d7e43b61cc82476897efc48e3 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 839 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), 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_i386.deb Size: 278296 SHA256: e5e6abd117ed38e9f6f0f00622e0c7e3d16dc302c4fc4ac4552eb6702dc78e40 SHA1: 8e81e7ae43f130707a0640f604db54029a81a86f MD5sum: 1f20015f9a598a5c3d71fdc1f25538bd 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 321 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_i386.deb Size: 70396 SHA256: fc54273adab034c8332f0e839d32aac829798dc3455789f21d27a7ba260718d9 SHA1: 76a9cbd07d8ecb93c7ce331520d5331a921ee6df MD5sum: 6f87206ffb5c42fb5c2a1d9fe58ac913 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: i386 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_i386.deb Size: 15866 SHA256: cfb84df40f1d720428aca84c98417e37c1c3c72b5c1b4573f3c8d49b2a2bef58 SHA1: 3d58219f6bcadebac2f4ea923a92fb54cbcc8954 MD5sum: f03bd50f2ba56f15f978582d11dbc1b8 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 94 Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libs Filename: pool/main/libc/libcgroup/libcgroup1_0.37.1-1~nd70+1+nd90+1_i386.deb Size: 34840 SHA256: 838c2901088970051a229208bec232cbdfbd7fd98f5c63aa54aef04ed367fba8 SHA1: 0c0bf100ad41784490e0a579a1aa42ba35c9bbd0 MD5sum: caa35433928f7f8b4323badcfcb97b61 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1180 Depends: neurodebian-popularity-contest, libclassad7 (= 8.2.8~dfsg.1-1~nd80+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_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 261178 SHA256: 6e29187c9f213453c45b83a4b63488f76da753b825e89845f60b8495a5c0246c SHA1: 296aaca72d9ba6ad873080388ffb21bdbf095c58 MD5sum: 6fe9512f75e766207f1822e6e81aec94 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: 8.2.8~dfsg.1-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 602 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libpcre3 (>= 1:8.35), libstdc++6 (>= 4.9) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: libs Filename: pool/main/c/condor/libclassad7_8.2.8~dfsg.1-1~nd80+1+nd90+1_i386.deb Size: 205420 SHA256: c1f1290c4ce7dd156d1af7968afb7d259579b3d23b238353e91298dd096359d9 SHA1: b9623b621173b7ceef7af6fb4e0898782f88d383 MD5sum: 1a49bfc21e6a65340637a86bc9ca7f68 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 276 Depends: neurodebian-popularity-contest, libc6 (>= 2.8), 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_i386.deb Size: 90352 SHA256: c851905e2f7b1146155e7d05f37c24fa03668f0715f075ffeecb6dc3781542c1 SHA1: 7b23a205eb6ac102fb08963b2dc00605c2b2ca91 MD5sum: db27fa3485c56332a9578a7bb5328419 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 940 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_i386.deb Size: 915272 SHA256: 6005e4b7b4fb484df7f59e0128dfea33cdf645128df71da1574cdb1d70124a9d SHA1: 87d060ef3b501f484989f7efb8fd0d044b777f8f MD5sum: cc1e3ec580f6847c944ecb4d17a27f3d Description: Debug symbols for libcnrun2 Auto-Built-Package: debug-symbols Build-Ids: 27a1afdb246c33f345b751827a3e938fb944fd8c Package: libcnrun2-dev Source: cnrun Version: 2.1.0-1~nd90+1 Architecture: i386 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_i386.deb Size: 25234 SHA256: e12037a48b3559710bef30b979cfdb13284fe0e96c9e1538899edddd70dc687b SHA1: 1d5dcaa2f1d24e366703b342b93ba77097dd1d5c MD5sum: 7c464520f91b47654f9e74fef88bab10 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 110 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_i386.deb Size: 87854 SHA256: a7e3936206b8a670cc7f05c868593215d82277b806263aad7bb89706286cab30 SHA1: 30ce4f19b1b651a441849376130525190248fab4 MD5sum: 8d343a60fff16438acde0e065cb9cb95 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 199 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_i386.deb Size: 51836 SHA256: 3a7a29b23cb131425f5cfc2206f45f629acda0cba462ebe345e373c067b4672a SHA1: 0c75ec10dad644a581b09c139be9bbeb96229b9e MD5sum: ea2b9899c62e8657edc35b54d6b413dd 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 99 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_i386.deb Size: 36344 SHA256: 675471095a7bcfca5f67c9b062520abbc948a66685f19a00d0258107785e3c43 SHA1: eed5e221738a9e76b95e8fbd516b41551e45849d MD5sum: 6c9d5db2419a252ea4b5050c331f2ca4 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+git12-gd98769e-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git12-gd98769e-1~nd90+1) Homepage: http://sourceforge.net/projects/edac-utils Priority: extra Section: libdevel Filename: pool/main/e/edac-utils/libedac-dev_0.18+git12-gd98769e-1~nd90+1_i386.deb Size: 14934 SHA256: def335ca9a2222005158963686a5eef3a08ec9b84b5638ec4603231f152c8403 SHA1: e67d35e9836aafd3864921540948a7533c5209da MD5sum: 4c69f41c17ef2051a2db7b6702270ead 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+git12-gd98769e-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 34 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+git12-gd98769e-1~nd90+1_i386.deb Size: 10756 SHA256: d317ee74f849480dbfdcbadcec0e4e6ef6449b87b166deee2a91adfa7d51c8d8 SHA1: 3a011da567713113a3ecbb7ee58a2bec37136235 MD5sum: 672e358ddcb10c67573dee148bb6f0af 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+git12-gd98769e-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 53 Depends: neurodebian-popularity-contest, libedac1 (= 0.18+git12-gd98769e-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+git12-gd98769e-1~nd90+1_i386.deb Size: 29686 SHA256: eeadf8d547289f38d27a4df9d5ac7aa103e5f3fcaa5ddb9833dfeba33d4a5a55 SHA1: 0cbf76439d0f1da6a31f72dc9666fe76a6a3f2dd MD5sum: 9db48a43394cee5cee0c0dccc9e73c79 Description: report kernel-detected PCI and ECC RAM errors This package contains the user-space utilities for use with the EDAC kernel subsystem. EDAC (Error Detection and Correction) is a set of Linux kernel modules for handling hardware-related errors. Currently its major focus is ECC memory error handling. However it also detects and reports PCI bus parity errors. . PCI parity errors are supported on all architectures (and are a mandatory part of the PCI specification). . Main memory ECC drivers are memory controller specific. At the time of writing, drivers exist for many x86-specific chipsets and CPUs, and some PowerPC, and MIPS systems. . This package includes shared library with debugging symbols not stripped Build-Ids: 210922de0854f2bef700cd7d4b5003f04edb7625 7ed7abe08de8a7cad468321da450f3db919f258d Package: libexempi-dev Source: exempi Version: 2.4.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3408 Depends: neurodebian-popularity-contest, libexempi3 (= 2.4.1-1~nd90+1) Multi-Arch: same Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: libdevel Filename: pool/main/e/exempi/libexempi-dev_2.4.1-1~nd90+1_i386.deb Size: 730336 SHA256: db2cb615025259210ce73a82d91f439eb92c8a0cbcb83413e66e2aecafa474a3 SHA1: e026ae70e696f8d196ef0461660e53c4410e67a5 MD5sum: a1fc3550e347a20b20078e8fbdeb51ff Description: library to parse XMP metadata (Development files) Exempi is a library to parse XMP metadata as defined by the specification. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides development files for using exempi. Package: libexempi3 Source: exempi Version: 2.4.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1766 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libexpat1 (>= 2.0.1), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Multi-Arch: same Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: optional Section: libs Filename: pool/main/e/exempi/libexempi3_2.4.1-1~nd90+1_i386.deb Size: 605766 SHA256: 2a5b10b426ddc325a613f452e4db90ee3274a47af96e08fcc09de2c4104c4a25 SHA1: 2969968759801037b77deed7bd1521d07468fa97 MD5sum: edd7a3cb23bf4787eea58f8f9a923a95 Description: library to parse XMP metadata (Library) Exempi is a library to parse XMP metadata as defined by the specification. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. Package: libexempi3-dbgsym Source: exempi Version: 2.4.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5175 Depends: libexempi3 (= 2.4.1-1~nd90+1) Breaks: libexempi3-dbg (<< 2.3.0-1~) Replaces: libexempi3-dbg (<< 2.3.0-1~) Multi-Arch: same Homepage: https://libopenraw.freedesktop.org/wiki/Exempi Priority: extra Section: debug Filename: pool/main/e/exempi/libexempi3-dbgsym_2.4.1-1~nd90+1_i386.deb Size: 5275962 SHA256: 9d7a728e6948fbff07c908527055536742de3ac2d27c823c060f364a7415fe7f SHA1: c77b0840524817c0baa7a2072753fce23f2181ed MD5sum: 6f198a8407d3c4afdca9c07c1c870bd1 Description: Debug symbols for libexempi3 Build-Ids: d23bccd3878789bb707ce1d67f55c34a2b1d051b Package: libfreeipmi-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6549 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_i386.deb Size: 897468 SHA256: 1349f90f5863ca391a65dd4aec7684984fde9fd0f56265e114cf86b42fb5d7ce SHA1: 5ca0b83d426cc5c03561af28b84d959819a17034 MD5sum: 86b629748b7488ccda247aed74783092 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4255 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_i386.deb Size: 747244 SHA256: c9ca935b803185aa42169309ed89b6f168e987962a0192140ab070f3580ef5f3 SHA1: 660944984bb4dc440f31419f3a9ba94722c6d3b5 MD5sum: e987e3e3b59c5f3e02f8373f588d88c5 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: 1:0.5.3-3~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 239 Depends: neurodebian-popularity-contest, freeglut3, libc6 (>= 2.4), libfreenect0.5 (>= 1:0.5.2), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 5.2) Breaks: libfreenect-demos (<< 1:0.1.2+dfsg-1) Replaces: libfreenect-demos (<< 1:0.1.2+dfsg-1) Homepage: http://openkinect.org/ Priority: extra Section: utils Filename: pool/main/libf/libfreenect/libfreenect-bin_0.5.3-3~nd90+1_i386.deb Size: 57814 SHA256: 50415f48c7c05b5fbbb9718be3d6d9bfd44db24a94d88261a8a47f9f8e65ef2a SHA1: 6571e284c12acbd3cfd8099511d82df9799c96a9 MD5sum: 5c1a4adaceb2b829c6e2b703841ae8b4 Description: library for accessing Kinect device -- utilities and samples libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package includes utilities and sample programs for kinect. Package: libfreenect-bin-dbgsym Source: libfreenect Version: 1:0.5.3-3~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 306 Depends: libfreenect-bin (= 1:0.5.3-3~nd90+1) Homepage: http://openkinect.org/ Priority: extra Section: debug Filename: pool/main/libf/libfreenect/libfreenect-bin-dbgsym_0.5.3-3~nd90+1_i386.deb Size: 207770 SHA256: 8db0d4bae9a9934df3a410cc640607365e1d12cf3a9ccc20e56107c13761fa72 SHA1: 8f3941f7bed700420e66b57bfd1fd838edafdd15 MD5sum: 0370a252587c50f511d6a452911a79d6 Description: Debug symbols for libfreenect-bin Build-Ids: 07eea19e8e3635530460cfc005ac392880195f27 497753d13f0c0116333b430dc7aace7662f74c52 567e6a8c4399b9983cbf4a9fcaa4aadfb988839e 61cf02d0d8f453c8d159264b35d82badead1c07d 66fe19445482113084c172f824a2f903f35e2081 6c749bb53bd9934c323b90288bab6265187a72d2 711bf854f70b71cf3744e9d4e1962e0c2cb75be8 a47e163b444ac181e2a5762ebb5f52ca1f29c5f4 b20370c717772ccb88fe0f79fb914179e9f535f9 b57097cc0abe0da4ab4ea532cc344eabb57ab6a0 bcd0cc5f7fd3c0fd24171fede09b0a33dca71c53 cefb77a4d32c8691835ae8e341a9dbd2a7d74af5 defe28fcae8420769ea703f559bd2058ef6cec86 Package: libfreenect-demos Source: libfreenect Version: 1:0.5.3-3~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19 Depends: neurodebian-popularity-contest, libfreenect-bin Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-demos_0.5.3-3~nd90+1_i386.deb Size: 8980 SHA256: 325c0b82f0fe7c1f9b391d2d3cf1654f5e2ddd70a6f239dc2bb605e01bd1cd87 SHA1: 11b3ac0a485d5e260230e5d78dc1eb2c8591cb75 MD5sum: 56c97e570c42850e6c25b083f8dfd9a2 Description: library for accessing Kinect device -- dummy package libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package is a metapackage to do the transition from libfreenect-demos to libfreenect-bin. This package can be removed after installation. Package: libfreenect-dev Source: libfreenect Version: 1:0.5.3-3~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 79 Depends: neurodebian-popularity-contest, libfreenect0.5 (= 1:0.5.3-3~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_0.5.3-3~nd90+1_i386.deb Size: 19728 SHA256: cdaa2ba246d2534ef4cdafc50e85652eade112e1495d36c39253789575d314de SHA1: f0942f4c2a203e3f77ed64ea8d690fac63aac995 MD5sum: 689e91ab4f70c1d894b7a63daab2feed Description: library for accessing Kinect device -- development files libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the development package containing the libraries and header for software development with libfreenect. Package: libfreenect-doc Source: libfreenect Version: 1:0.5.3-3~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 869 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.5.3-3~nd90+1_all.deb Size: 142416 SHA256: 6cad33f889f4c5d195da2dea4e363027fbeca79f82d05c97d45b5b930b759f03 SHA1: 374019ee59f201bb7a57a28b9eee1601f86d7149 MD5sum: 872a91721ad4fcae0de647812d3da266 Description: library for accessing Kinect device -- documentation libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the documentation of the API of libfreenect. Package: libfreenect0.5 Source: libfreenect Version: 1:0.5.3-3~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 132 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libusb-1.0-0 (>= 2:1.0.12) Conflicts: libfreenect Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.5_0.5.3-3~nd90+1_i386.deb Size: 45866 SHA256: 91e7e8b609a1d30222728106062e4ad65d9043f1701ef5ba3f7a6e879ad47180 SHA1: 13e66964e81dee78c3a2c9b763fb5588cef0e255 MD5sum: fcdcb99fd8743219ec15e4b9066f4d2e Description: library for accessing Kinect device libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the shared library of libfreenect. Package: libfreenect0.5-dbgsym Source: libfreenect Version: 1:0.5.3-3~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 105 Depends: libfreenect0.5 (= 1:0.5.3-3~nd90+1) Multi-Arch: same Homepage: http://openkinect.org/ Priority: extra Section: debug Filename: pool/main/libf/libfreenect/libfreenect0.5-dbgsym_0.5.3-3~nd90+1_i386.deb Size: 75642 SHA256: 3c4353683bd6064fcdec53357e1fa342f3a86cc5411cf08ca599c495c7a135b3 SHA1: 6ae149d91d4a1043198070236ad4370bc92ea97b MD5sum: b6f096aac72a6db50f14b6c461ce8c47 Description: Debug symbols for libfreenect0.5 Build-Ids: 336697e78b649cef7e50eb3f739ed44885c8e5a6 4201b4b10e65be68485d516d6a211f51f388edf7 b770590a679665801012fad509fcf567cb28d471 Package: libgdf-dev Source: libgdf Version: 0.1.2-2~nd70+1+nd90+1 Architecture: i386 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_i386.deb Size: 17378 SHA256: 0cb775a533ab4e4f87ea3469832278e737ba83b847a75b8983c5428a5e9fde3c SHA1: c7db476edd3328bafc3724bb768c3a9416c3c582 MD5sum: e9a25faf4520342d4a36d72b6b74cbf6 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 724 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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_i386.deb Size: 154652 SHA256: 9009157b1cd7f8146f39778fc655cfded05dfa2ad89cbc8889e97cb3e1595e8f SHA1: c1549671c14369794372abc8a0a47906abc99a23 MD5sum: aa236e8a56e97993524c7f40a4100127 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2587 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_i386.deb Size: 528646 SHA256: 22f774b386b9270653dc40b10f146b00136b15bff56f0b138a9ea0f669c23634 SHA1: 03b44e3c1b877e8020b79a8ccea87ec864e122c8 MD5sum: 105953583a0d825ae9ed6dfc552bf12a 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: i386 Maintainer: Debian Haskell Group Installed-Size: 1359 Depends: libc6 (>= 2.0), libghc-base-dev-4.8.2.0-a3ce8, libghc-bytestring-dev-0.10.6.0-89a6f, libghc-gnuidn-dev-0.2.1-a75b3, libghc-gnutls-dev-0.2-f3f96, libghc-gsasl-dev-0.3.6-afdb6, libghc-libxml-sax-dev-0.7.5-e77a6, libghc-monads-tf-dev-0.1.0.2-770dc, libghc-network-dev-2.6.2.1-bb6bd, libghc-text-dev-1.2.1.3-e4b35, libghc-transformers-dev-0.4.2.0-a5bbd, libghc-xml-types-dev-0.3.6-9f99f 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_i386.deb Size: 175428 SHA256: 9cfa0aff6af8825cfb5cec49c232954437deee2a4b27127f4ae023be2d5e1cd8 SHA1: 8c94f4cee322606f53621efbc65dfa334d3ded5f MD5sum: 09007baff8e60210365d029505740200 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: i386 Maintainer: Debian Haskell Group Installed-Size: 1065 Depends: libghc-network-protocol-xmpp-dev (= 0.4.8-2+ndb1~nd90), libghc-base-prof-4.8.2.0-a3ce8, libghc-bytestring-prof-0.10.6.0-89a6f, libghc-gnuidn-prof-0.2.1-a75b3, libghc-gnutls-prof-0.2-f3f96, libghc-gsasl-prof-0.3.6-afdb6, libghc-libxml-sax-prof-0.7.5-e77a6, libghc-monads-tf-prof-0.1.0.2-770dc, libghc-network-prof-2.6.2.1-bb6bd, libghc-text-prof-1.2.1.3-e4b35, libghc-transformers-prof-0.4.2.0-a5bbd, libghc-xml-types-prof-0.3.6-9f99f 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_i386.deb Size: 150362 SHA256: 80e7a40f404a36e29100cf3ffbe9863c759c3e342e31c0eee818b56d5bb10fc2 SHA1: 42078d4fa34ec128b662b7a9f2b094b3261dca8f MD5sum: 9f568f72df2dd392693328e065b1a07e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2531 Depends: neurodebian-popularity-contest, libghc-ansi-wl-pprint-dev-0.6.7.3-8ad39, libghc-base-dev-4.9.0.0-1bac3, libghc-process-dev-1.4.2.0-8b585, libghc-transformers-dev-0.5.2.0-cdb38, libghc-transformers-compat-dev-0.5.1.4-518aa, libc6 (>= 2.3.6-6~), libgmp10 Suggests: libghc-optparse-applicative-doc, libghc-optparse-applicative-prof Provides: libghc-optparse-applicative-dev-0.13.2.0-dd36d 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_i386.deb Size: 274054 SHA256: b940e835133bf2cb6dc3d345016ddf7c12070d7aac316228f08b302e09a0b48b SHA1: 14d987e2ec92827e0c4dd20cb841b6baf50acaad MD5sum: 96ad9d6982f67f1e0675ba80a6bfd547 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2145 Depends: neurodebian-popularity-contest, libghc-optparse-applicative-dev (= 0.13.2.0-1~nd90+1), libghc-ansi-wl-pprint-prof-0.6.7.3-8ad39, libghc-base-prof-4.9.0.0-1bac3, libghc-process-prof-1.4.2.0-8b585, libghc-transformers-prof-0.5.2.0-cdb38, libghc-transformers-compat-prof-0.5.1.4-518aa Provides: libghc-optparse-applicative-prof-0.13.2.0-dd36d 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_i386.deb Size: 274332 SHA256: 2d3b252c127240eb1fe684002ef73f375be6f4ded87054d8d2e9b52181f12a4e SHA1: 561ac7be87403c975e2db8f887d74e3c64a44d06 MD5sum: 2b93c35314adca255286588c819691d5 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 193 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_i386.deb Size: 49374 SHA256: 2fbb32742df59d985cdba07553ddaf3fca7af2aedf16c55e35b2268dbb901bc0 SHA1: 098a9346f88778cf15792942c8775df6bc8844ba MD5sum: 69739281f4cf6e54c89287ffebd9c094 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), libexpat1 (>= 2.0.1), libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libs Filename: pool/main/g/gifticlib/libgiftiio0_1.0.9-2~nd90+1_i386.deb Size: 44414 SHA256: 1b2aadc6e2f88338c498392276bca62ad34f64826cda3005fc351538e2dff468 SHA1: 8e17ec3e070a712ec69444ec140efcd95dd887ff MD5sum: 6d272995477ef36cb43a3ca946edde31 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24 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_i386.deb Size: 5442 SHA256: 26471898467ad5179b13efdff9887a0346d0e0f145d7a63fc0358840c1d9a5f1 SHA1: f88a888f8467a4f7930c0634bbfa361821e875a9 MD5sum: dc37315a488bc218d957bdac2f6fbe8f Description: Debug symbols for libgiftiio0 Build-Ids: 201a50ba5d21095cb565161422c9e50135f0716b Package: libglew1.9 Source: glew Version: 1.9.0-3~bnd1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 617 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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_i386.deb Size: 128954 SHA256: 1ee078b1013bffa7102f11c24f89f1a992bbee26b934eff563d134e60253607d SHA1: 389f1e90777492d19272ba66c5e54b4045b80959 MD5sum: ebb31cc2d5adeded12098b291799ffa6 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 138 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_i386.deb Size: 33282 SHA256: a37623896ba85bc91bd133ac6772d43e7085d9429f4228d74f2f209ba18e44d5 SHA1: bbd438f98a1f16907e1eaf39f344102917219b3c MD5sum: 168e7112f5aeb98d318ae0824de99928 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: i386 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_i386.deb Size: 109574 SHA256: 3b93231d040c46bc38503740951e3405f459a0d039c99dd7fb32546812f5ea44 SHA1: a553759b6b46c6c54d5f05c27faad01289f7c0c7 MD5sum: 662f197e0714ef3e3c2e44b23ebd1dfe 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 562 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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_i386.deb Size: 116996 SHA256: 424c12568f801dab5b75fb2623f4528591203718c0b2c4ae564f9b8a58b09f4d SHA1: 5a0b6cfa4cf42b02d9b436e6ef55bbbf919a5ea9 MD5sum: b7ad2dd1e7bd090d4f2e23f2e756becf 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 115 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_i386.deb Size: 26918 SHA256: a63610db0b7a2099c3887b05903c9deb1d63a7bffecfff1e3fb007d0e7d13c72 SHA1: 7d60708dda0f8371f3eee175fb0768b88cfb60b1 MD5sum: d2f9a77cd4b9a4263c4be90c8b2b658a 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: i386 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_i386.deb Size: 8490 SHA256: 24e26746c1d12fcb6e09ae5e593dacd7f2ed075bedb7e466a201179668a4f536 SHA1: f4989a3b83880b660a664b7871a21ef71431984b MD5sum: b2c04ba0cafed435d87b0bc0c708017a 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: libglm-dev Source: glm Version: 0.9.9.6-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2159 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: https://glm.g-truc.net/ Priority: optional Section: libdevel Filename: pool/main/g/glm/libglm-dev_0.9.9.6-1+nd1~nd90+1_all.deb Size: 177216 SHA256: eb9ebe1c4b534ecaccc1afbbfa2c5a8653bfd81bc482c969f5290631f37cfbcf SHA1: 40885a46aee951a33b10fbe2a5db99f0e5dacc30 MD5sum: 7c670dd69f0f71029ba9125688dbd5bd Description: C++ library for OpenGL GLSL type-based mathematics OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specification. . GLM provides classes and functions designed and implemented with the same naming conventions and functionalities as GLSL, so that when a programmer knows GLSL, he knows GLM as well, which makes it really easy to use. . This project isn't limited to GLSL features. An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations, quaternions, half-based types, random numbers, et cetera. . This library works perfectly together with OpenGL but it also ensures interoperability with other third party libraries and SDKs. It is a good candidate for software rendering (such as raytracing, rasterisation), image processing, physic simulations and any context that requires a simple and convenient mathematics library. Package: libglm-doc Source: glm Version: 0.9.9.6-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12702 Depends: neurodebian-popularity-contest Recommends: libjs-jquery Multi-Arch: foreign Homepage: https://glm.g-truc.net/ Priority: optional Section: doc Filename: pool/main/g/glm/libglm-doc_0.9.9.6-1+nd1~nd90+1_all.deb Size: 502228 SHA256: 1bd17167728f498210c2e3e6748191332262040fa48ad5cda1dbc136d90c85a5 SHA1: 84c5ba6abb7a7af237f0e4517e2e12f5b1546ffe MD5sum: ffe6190782a5f5dceff2c96b84a23de0 Description: documentation for the OpenGL Mathematics (GLM) library OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specification. . This package contains the OpenGL Mathematics manual in HTML and PDF formats. Package: libguac-client-rdp0 Source: guacamole-server Version: 0.8.3-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 110 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_i386.deb Size: 29848 SHA256: 7bfb3ab751b1c386cfa60c115517689c3e84f2941bad7ab13e7160fcd3f2df7f SHA1: 60b1448276c321681ab26c398ce2cda4b1d7e8d8 MD5sum: bec4eb040cd0647dba7a4adfb4edbed5 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 73 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_i386.deb Size: 23626 SHA256: ed02cc5bc4d1fc80e94ca29f0c3030132e8e5ba1e0aa30c6733219c1adc66a4a SHA1: 12bc557da7c21af3953f1ae11f86a532f1d08ebf MD5sum: 7bf0c3dd451007e188502ca533d5f10b 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 44 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_i386.deb Size: 11364 SHA256: 5df611dfc50fcf814765cfda62dbe36d18596897a2c30ffe7d4db18c95873550 SHA1: 70bea96e9572d20f5ac8164d053a932c9e444592 MD5sum: 09243660b09684a7884daffca53ce3ee 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 213 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_i386.deb Size: 36952 SHA256: d2f2c9ea38570c64b29d366af113e41054de4fd9e952e0ba031a83dcd51a9310 SHA1: d0d7594d7b2bcbb51253bc692f13ef755415ccb3 MD5sum: a9878bc5d3b144fe8c84f4ff0da1a399 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 56 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_i386.deb Size: 16316 SHA256: 9e88f21038f6e34c67ba2ae25bb5929744590e0098f95d8f642ade8c03933191 SHA1: 3727ef995da6bfa644f872c6c57caaaf81e897a5 MD5sum: 69817896e64ebd8dd930d8383ea9433e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 80 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_i386.deb Size: 23050 SHA256: 87ae2fd300d108bbd611dbb232a57e2a5de7c13b7839cdaa3a130a661ac8a5e6 SHA1: 434488d27d2c9d5de1c9d0a982966bded7bb8ca9 MD5sum: 5624cd7ce69501a6f42f06fc3b83a6f8 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: libipmiconsole-dev Source: freeipmi Version: 1.4.9-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 449 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_i386.deb Size: 105778 SHA256: 5424d7b730c344d852b952de5e3596641bb7aa924beeac02e3d22a8fa5263e34 SHA1: 2d276de50c58494fef5befab0d958994ec92497d MD5sum: 3862551f214680053dbfdf4ad81e6da4 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 317 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_i386.deb Size: 88094 SHA256: 7df858c77204818170fc8ab407faa8e9f36299b1f4045968eeaf77a3310f2b34 SHA1: ef7170d89afe936dacb2292651626036451995f9 MD5sum: a588e0f7f02212c23d409194ac1d1cdd 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 111 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_i386.deb Size: 33420 SHA256: af9659ea9e83bf2529418c837da2ba6e725c42c877db9785fe50f9bcb713959b SHA1: 385c17c4fe581520e78fd4bd7e51fcdbe70686ec MD5sum: af096f5d74fab9a7153960bbb6b8cf25 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 78 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_i386.deb Size: 27280 SHA256: a51c55d12b986bd17d39db7eac621e52cf8f917d8a437724b5d351776cb0cf0e SHA1: a8e31495a1b24d762c7d664e3c0fa8dea0b68162 MD5sum: 40ab2167a9df17b21a66ddee5d333407 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 298 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_i386.deb Size: 63650 SHA256: 861311bfa9b0ae0e81596e6798cd1232477fea85b3a247464088d70ec777b08f SHA1: 5b00a8a5cc92426e9dca53b7ed0df2ab8d5c48d2 MD5sum: 8a3f243220207bbcac93f57b77e977fa 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 149 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 45556 SHA256: cc221fd2fa75381589d3b0b1319f277b1f367eb27f63e502726cd62f2c7412a1 SHA1: 6025879aca3c80d6c45334e9c3d54e9a0d873d69 MD5sum: c7e3a4d14d4df7826c036a4132d61e57 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: i386 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_i386.deb Size: 13810 SHA256: f168e0c36dbe650b514786168fd40f93c86e3ae29d63a584f2795085882a2a1e SHA1: b07017f8d04b271a131197150bb6082815b78057 MD5sum: 02ae04a818423a141c99909462fe0b91 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 352 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 85762 SHA256: ac4d8f7636b31ef86a7df6a527122ed931cef8fea242f30f4cc26af85cbb37e1 SHA1: d40cf04b4ba8facf2b37de4cd508ed3ce8f1c2a9 MD5sum: 41df3243429df52431a9e91d10178249 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 21688 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 (>= 2.4), 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_i386.deb Size: 3422232 SHA256: 58c25bb5c66805a02e48420780dc53254fe651c4781cff9426820ef716ce3bcb SHA1: 1e809dc9fe576ca12ebd818955b212bfff76c9bd MD5sum: eb48b6146d4a0819cfe06f730eb17b21 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 61218 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_i386.deb Size: 56512366 SHA256: e6ddf09f3fa9e3cec69327edec433d8510ae09cabeeabe7a5baa9a1ebeaff074 SHA1: 8b6bf5824f026b0ee56a63ff7f8a7ca117cb1eae MD5sum: 626694db18a9827d31b110579b6439fe 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: i386 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_i386.deb Size: 177524 SHA256: 407189fa90609b68bdd27775e75aa6ad1e1b26ae4105ae264a9b5c7319d4d705 SHA1: b889039861c8ee63370fd362834ed49727dc6845 MD5sum: a8e3ad996bf7c78b0cc11b93249d562c 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 279 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_i386.deb Size: 68532 SHA256: b8e5ed45d0dea8659dcdb3ebafcaef202d56b49ff79198896af60bbb92352c8d SHA1: c238cafb099008a1dac99bcbd51f79b80b9ddcb6 MD5sum: 880df25cabbc3b1943b2366cbf18f66e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 71 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_i386.deb Size: 19126 SHA256: 8252e90d48d5b03748e74e504acf9608fd0585cb9c9b206d893cbfd2cf35e383 SHA1: 675bbabba180f180bdb67c8fd291da7281646b2c MD5sum: 33439825525edd5304a857d072de733c 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 70 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_i386.deb Size: 49104 SHA256: 2944de5bd1163e5e4876fac2383b19a0494f8608fbf003d6848a71b798f331a5 SHA1: 50be04964685d0fe7453131aea907e61b8f30677 MD5sum: 61ec02cc2ae8798aba48315a9a1cc574 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: i386 Maintainer: NeuroDebian Team Installed-Size: 439 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_i386.deb Size: 133426 SHA256: 3cf3f60a7b19d4cefe200f3cffe2abb4876a3a251383b306c11dd0095989ba6b SHA1: 917f7eb30a5a5e9e4575a926616ad1eff6441750 MD5sum: 232e2b19482307e0eb09bb62a81ce61a 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: i386 Maintainer: NeuroDebian Team Installed-Size: 286 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), 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_i386.deb Size: 101716 SHA256: 12f2ab57c0f93775b81e7c94a6345bc17c0fea3bde15517a78a6ae0da04cb903 SHA1: f02347a63f9b18b709608bfd5ae58fefa310126f MD5sum: a7d630746f99345e4a1059bbc0defeaa 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 557 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_i386.deb Size: 169566 SHA256: 8effb2ff2bba012509302f23240563544016b352d1350ef1348cf5036c5631d9 SHA1: 3be259f44473718f9b7398ad2fab69953b2d9e32 MD5sum: 397b56cb5484883f851dc651b108b1f6 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 149 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.4), 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_i386.deb Size: 36562 SHA256: a0ad667283775bf28f74a064a2d86b742ad79fcaea431715ef81247286b2d5a0 SHA1: 1140b314fec0ef50f7c9f7592bfeb283c5677ac5 MD5sum: 370935a703266004b902c62ad3fb399b 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 444 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 159878 SHA256: a20e51f95186bc3d08d740f46a60d75c922a8bad12b5f81c9a5e8a5aee27810c SHA1: b2171371ce99ab2aaf824184b358ab2ff6610569 MD5sum: 21c39614da625976ebfc38e08a0e5dc9 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: libodin-dev Source: odin Version: 1.8.8-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 19201 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_i386.deb Size: 2664348 SHA256: 11bf18bdab00327ca0cc54221f5d4507e7e3c7e841883f1c7bc9f7affa4c4c54 SHA1: 4e42292067cfa7ee8d6c1f3debed00e03d9b7722 MD5sum: f1034c458982a6352b4b21297ebe20d6 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6707 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 (>= 2.7), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libopenscenegraph100, libopenthreads20, 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_i386.deb Size: 1331666 SHA256: a94344ae55f100aadeea5e88910bdb5aca3360b41a2bfe0c93c7acc6e3940a5a SHA1: 3a489ae0bd8e7ac9fb5f8fd0effbf2b4e33304d0 MD5sum: f3d3724065e267a54b90f41f4b4c58bf 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: i386 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_i386.deb Size: 248380 SHA256: 837d9ce0cce9ae9850dcc0916e49b3e38113e25f1157c9164ca7c34b0b947ff7 SHA1: db03418fa88d9c39fd6d9681b7126b12d52aa32d MD5sum: 33c450b5048e22d9beeb75af4e11b058 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 21 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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_i386.deb Size: 7284 SHA256: 0d10d5f1700e73f7be633b1ff3890c6824b97f49da40528e23078dca5896f33e SHA1: 2468547adc6b233bdcf0975bcdd18cf96f2c584e MD5sum: 44e4aead93c2b225546c8fe46810d86c 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: libqt5pas-dev Source: libqtpas Version: 2.6~beta-6~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1371 Depends: neurodebian-popularity-contest, libqt5pas1 (= 2.6~beta-6~nd90+1) Suggests: fpc Multi-Arch: same Homepage: http://users.telenet.be/Jan.Van.hijfte/qtforfpc/fpcqt4.html Priority: optional Section: libdevel Filename: pool/main/libq/libqtpas/libqt5pas-dev_2.6~beta-6~nd90+1_i386.deb Size: 142292 SHA256: e731fefb278eebc5ce6a52c8ae6b2d5a26648e5973ba1b6c7433ca3e34103f64 SHA1: 7e44dd14f6c5ba1fed7b156db6f3155450945ba9 MD5sum: 136d1d179137aef326b930f86f727fd6 Description: Development files for Qt5Pas Provides interface for Pascal applications to the Qt5 C++ libraries. This binding does not cover the whole Qt5 framework, it just contains all classes needed to use Qt as a widgetset. . This package contains files needed to develop Qt5 based applications with Pascal. Package: libqt5pas1 Source: libqtpas Version: 2.6~beta-6~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2881 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libgl1-mesa-glx | libgl1, libqt5core5a (>= 5.7.0), libqt5gui5 (>= 5.5.0), libqt5network5 (>= 5.0.2), libqt5printsupport5 (>= 5.3.0), libqt5widgets5 (>= 5.3.0), libqt5x11extras5 (>= 5.6.0), libstdc++6 (>= 5) Multi-Arch: same Homepage: http://users.telenet.be/Jan.Van.hijfte/qtforfpc/fpcqt4.html Priority: optional Section: libs Filename: pool/main/libq/libqtpas/libqt5pas1_2.6~beta-6~nd90+1_i386.deb Size: 518012 SHA256: 717a8d5de7d84562cc0c05ce0e45c3d6cd29ffafcf6f9ca59056cecc2fe1c89e SHA1: 136d3e23acb6a70cce671e9513c9adbc91f6f693 MD5sum: 4604bb7c886e85dadbc46dd3e53dd2d5 Description: Qt5 interface bindings for Pascal Provides interface for Pascal applications to the Qt5 C++ libraries. This binding does not cover the whole Qt5 framework, it just contains all classes needed to use Qt as a widgetset. Package: libqt5pas1-dbgsym Source: libqtpas Version: 2.6~beta-6~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 36913 Depends: libqt5pas1 (= 2.6~beta-6~nd90+1) Multi-Arch: same Homepage: http://users.telenet.be/Jan.Van.hijfte/qtforfpc/fpcqt4.html Priority: extra Section: debug Filename: pool/main/libq/libqtpas/libqt5pas1-dbgsym_2.6~beta-6~nd90+1_i386.deb Size: 36485296 SHA256: 5d9a9a226668627ac1b71a84d8aa7f7db5b8be7d5a7c5eabae935e9fe2074940 SHA1: 9cefe98e967a8ee2f9ce4a672a419d988867f371 MD5sum: 37aec698195dde040cf6680867ba0ad3 Description: Debug symbols for libqt5pas1 Build-Ids: b7ee1dd9f6a783bfdecc85ab69d27f9ef5aa1803 Package: librtfilter-dev Source: rtfilter Version: 1.1-4~nd70+1+nd90+1 Architecture: i386 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_i386.deb Size: 12066 SHA256: c49392e07735b4b7a09f4488496cd7145bbe11c2d561560b0022bfbe333a0b3b SHA1: 4ea2cd6cb5e581661d12ff18dec748372d2e08e0 MD5sum: 3679e8b8675b808ba814cd27b8de442c 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 66 Depends: neurodebian-popularity-contest, libc6 (>= 2.2) 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_i386.deb Size: 26804 SHA256: 411707984f77d69ec7c0f078885947d2b6e2acd18f9a2a3f4f2ca5db38e59ee1 SHA1: 66a8e3144d3d21a61a7669f00c0df0dbdf437dd6 MD5sum: c85014599c8283dfd3958767acc2ff41 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45 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_i386.deb Size: 32054 SHA256: 4305a3ffd0efe631c71cc79c37a9935b65a7433f8e0a9bae4d683625d5ee795b SHA1: fd5abd1711059187a2f7bb2211b3582bad2ca95a MD5sum: e4ee6ec2ce4e39db8fdc7772df2c2867 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: i386 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_i386.deb Size: 108314 SHA256: 697a730812079944edf47d67a273447d427605dd478d10463ecc4f85adf04f90 SHA1: d64e8874704c4282126b7b0731a8bc6ee7e1bbf0 MD5sum: b91a7d6c33bcc65a8a24eea13210982a 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 114 Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://mia.sourceforge.net Priority: optional Section: libs Filename: pool/main/libv/libvistaio/libvistaio14_1.2.16-1~nd80+1+nd90+1_i386.deb Size: 39156 SHA256: b68c4b4a00384fcfda82a9c2d73eac6719351a43639e50d19fe142ca35399732 SHA1: 3a69debca354b35ac37c7624cc9135bdba7a8d0c MD5sum: f0b31a0e7f440c8409089ae5e3a27a8e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 82 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_i386.deb Size: 61832 SHA256: 0d94750a1b6fddf03d7b50b1c5c895de86ea3eb91ff878ec322e738d0c80e8ab SHA1: 0a01b11d13fa6ade265167eb6d26bc9d1734a1d7 MD5sum: 8a6f41fd612ed3ee94fe22583956c693 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: i386 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_i386.deb Size: 185254 SHA256: 4c89653c3e2e7d63f69b62856070fc68eb1a1279e6916491512db4c75376b653 SHA1: 41b46561a6871e2e0b1f44c450c8c4215e82fb2a MD5sum: 1de317ca44f8750d615f2c51c8a6607c 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 568 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_i386.deb Size: 193356 SHA256: 11e10339e2c762b3c638cf9c3088a2538e2c65531381ababf40488e21378f21c SHA1: 12ead6453b2f1a7026c467acb6279dc80b070044 MD5sum: d8f0aa07eb56eda06f5c5d1c5881cddd 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1253 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_i386.deb Size: 382020 SHA256: 11df88e3c8bdf6f6a10e55c9faeaa4b6d1a0c0fffff4e20cd7e15ace72809a62 SHA1: deacc52d1d67a56b7afc602e98f694278a0f7857 MD5sum: 1e2a0c37f28af112f53d41aedd2e7978 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 275 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_i386.deb Size: 73358 SHA256: b58c10895ff5b7a0aa635cb61d17e0d7b962773a5fe01eaf233b65dc81cb9648 SHA1: 0f314c7fa590df23b8f5ccb56a6784af1de3262b MD5sum: 50dc2dc96554cc0177de84e501d89339 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1508 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 436080 SHA256: 9e5439f295fc26a2a72a4814e27aca12ad509d29259d250ff3ae09fbfea42157 SHA1: b1cd1be31efba5d7337c99f75171caaf511ae041 MD5sum: 6b747ab6360f467801ff84d9e4c0c8dd 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: i386 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_i386.deb Size: 80734 SHA256: 645e19de3087466b6b9c1fdfac892e17952a40a0cae9a9aa1c44b9a324926df7 SHA1: ede92e90bfe4a2d12197218965a2cb82e2fe2084 MD5sum: db69b4a4865c5e91f056248f79181689 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: libvw-dev Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12207 Depends: neurodebian-popularity-contest, libvw0 (= 8.6.1.dfsg1-1~nd90+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: libdevel Filename: pool/main/v/vowpal-wabbit/libvw-dev_8.6.1.dfsg1-1~nd90+1_i386.deb Size: 1501032 SHA256: 200be7426842aafcb88eb5332933cde0cc4dcfffe4f367e5bd1d31cae237a4dc SHA1: a08183f118674ae5d9b69da40516fb4a8119f322 MD5sum: 189dae804d2a6a768834ecec26831642 Description: fast and scalable online machine learning algorithm - development files Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains development files needed to compile and link programs which use vowpal-wabbit's libraries. Package: libvw0 Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3383 Depends: neurodebian-popularity-contest, libboost-program-options1.62.0, libc6 (>= 2.15), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Homepage: http://hunch.net/~vw/ Priority: optional Section: libs Filename: pool/main/v/vowpal-wabbit/libvw0_8.6.1.dfsg1-1~nd90+1_i386.deb Size: 919892 SHA256: 07b83bb4f456c048fedddf56fc6dd27944de0e42471921fed027d552767e9e33 SHA1: 88097005cb16610d3e747064e855fbeb8f20ceae MD5sum: ba556947600d4c70cd5358f00d25021a Description: fast and scalable online machine learning algorithm - dynamic library Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains vowpal-wabbit's dynamic libraries. Package: libxdffileio-dev Source: xdffileio Version: 0.3-1~nd70+1+nd90+1 Architecture: i386 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_i386.deb Size: 27258 SHA256: 72e861669889b7a92ae7f4b77d10d41677ffa0885926811f12d893c6798940c4 SHA1: 631d725b0dd32853c7e97d94b78345c4305738c9 MD5sum: 4f75b1209e12948832b9cd3140e3f609 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 110 Depends: neurodebian-popularity-contest, libc6 (>= 2.4) 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_i386.deb Size: 41970 SHA256: 7938c7aff90ae540f6a67c62331c22266be7a0152c116962f5c7bfbb54c40606 SHA1: 2919842d78ec7fe7d6c8777cf9debe2fb239c759 MD5sum: f2cb9f5d63edcd6b82ff1e4dfb12c72e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 81 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_i386.deb Size: 65464 SHA256: 95f65db4eb67448c9af1ae71bed67e9a3292a6d6ae7107658139b9d0cb4dccdf SHA1: 8a86c841e4f7b28a6c3b1e2d2cf4c9d0b12a1919 MD5sum: 682e0fe3fe0cf21115de7137a42a93b1 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 116 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_i386.deb Size: 44118 SHA256: 14e7f7b09992fdfb0fbd8c4464fcca974393f51f7eb4f72811514065b0194300 SHA1: f344fa82c86b39895f545affe820c6f4c862340d MD5sum: abd82b5348da80a6c4c6169e6315d7c7 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 283 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_i386.deb Size: 261492 SHA256: a05edfb9bdfe016a5e83e22597974fea1d85e2674ff61bf312b8c9685323dd45 SHA1: da1cad89a76a3e57b1642434a0e765c624e158c1 MD5sum: f7aa274b305207dbbd7ab0cd6446a269 Description: Debug symbols for lua-cnrun Auto-Built-Package: debug-symbols Build-Ids: 6ea7f1d7b5a6b6c00a8d88df6f213abc9726cf9b 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7693 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 (>= 2.4), 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_i386.deb Size: 1421932 SHA256: f5ec7408f6808535b212cd30ca9ea223722e313eae782d75b8262fada2c719cc SHA1: fe9e807a43373c6534f1ba754492a013c404716d MD5sum: 76eae9ea44b752c1005f621a480dbb75 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 27326 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_i386.deb Size: 25468738 SHA256: 965ca50e43612ccd4c250b63934e8f3db823f9d252a2cd97b8cef5860e1b5e2e SHA1: ec3be2a7de513c83b1b4c0efa5ce6f30e2dfa3a1 MD5sum: 8b91076d1e518b46abd02cb8e49cd566 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 200 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 72070 SHA256: c9f60ad37c9df3d2eea30dfb59c41d8c4618205bb67f3d0650ed33288fb13b09 SHA1: 6bfe71d2395ce186de3879eb43c83999cc45ed3b MD5sum: 3b46a1da928f05f88a90397f4db5b5bd 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 171 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_i386.deb Size: 139330 SHA256: eb025a3087451a5e57f3ca1f7a880c211126565302b20946e274428b27ec2a90 SHA1: 68eb034c869a0e6468ded55b67aa1d00c79b2541 MD5sum: 868dca3dce39082fc47da65d7aeadc75 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: i386 Maintainer: NeuroDebian Team Installed-Size: 7320 Depends: neurodebian-popularity-contest, libblitz0ldbl, libc6 (>= 2.11), 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_i386.deb Size: 2005024 SHA256: 2d18a75bb56d500516d2619dd47f3271da8ceced8a48e87da630715b5c47f07f SHA1: 3ccbc054d1a47fed440058e255b9eba4cfa01f39 MD5sum: 9ed3329615185cc60f92f7e7f2c2f594 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 5376 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 833676 SHA256: f250e86872fa4f29b180b58051a5b165e86029f927c7a86fa189f6128966b6d2 SHA1: c74358dabd4c5312ee0ca51dba4d87136ae711f6 MD5sum: 84309454c9e43d218eb4c997be6bf490 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: i386 Maintainer: NeuroDebian Team Installed-Size: 12525 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libc6 (>= 2.3.6-6~), 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_i386.deb Size: 2061330 SHA256: 9aa7adb03be73e7edea795609c858b6d8a9112c5d24d16571ab3b8148c059cf0 SHA1: 2ad587b51b6a3074965dec2727b2d177e8d4fd2c MD5sum: 10c3a35c586e67bc6bdbd5b82b3285e2 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: 0.2.13-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9184 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.12.4), libatkmm-1.6-1v5 (>= 2.24.0), libc6 (>= 2.3.6-6~), libcairo2 (>= 1.2.4), libcairomm-1.0-1v5 (>= 1.12.0), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:3.0), libgdk-pixbuf2.0-0 (>= 2.22.0), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.16.0), libglibmm-2.4-1v5 (>= 2.50.0), libglu1-mesa | libglu1, libgsl2, libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1v5 (>= 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-1.4-1v5 (>= 2.40.0), libpangox-1.0-0 (>= 0.0.2), libsigc++-2.0-0v5 (>= 2.2.0), libsm6, libstdc++6 (>= 5.2), 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_0.2.13-1~nd90+1_i386.deb Size: 1507192 SHA256: 91f9f42099fc18275c75aba03569eb8e94dd26b8e1265841c6cb0d13edf7b9d1 SHA1: 415b90fb06afd3c22a0a63a6a6424aba246cd0bf MD5sum: e15b4cf9c45e4e377d0a8a2c12de06e0 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-dbgsym Source: mrtrix Version: 0.2.13-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 14797 Depends: mrtrix (= 0.2.13-1~nd90+1) Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: debug Filename: pool/main/m/mrtrix/mrtrix-dbgsym_0.2.13-1~nd90+1_i386.deb Size: 11614090 SHA256: ab5d25cd0eaa7de2591ce20208537f59f05d3989d90eb54bbff02f09f4c8e106 SHA1: e3b9aa479a319ce943049e7e424f62dca66ec3c6 MD5sum: 5d310ef44221e60e9cc4e94d86b8956c Description: Debug symbols for mrtrix Build-Ids: 03ca6529e54c19c57a5f41f01da475d2508c216a 04c30d36afffeac689a4cde720a703ea46894f4d 0b0faf38f3acd911d005094d17a60566a6b54062 113be0e3923bf9e2cb6145b924c74a0d5f2a9667 1f19276d91714e81273ebeb648a14d614d1d8fff 2441558c333f4d3a205367b92171e8618554e0c4 2f7d2cd4fa03dafa3e28e983abe1c89326441104 3210957a4cce63b4435a27458c42898d5c99dcdf 3513f5df49f2496c0f7c29a11e7a59280d4eadbc 3d61ccad6ae885d9996e7e90cf53272dffdd797b 3e94c6d96a6794fbceac7b28392635bb1778205f 41f1fa7d8b3a02e9eccdde462b419e8d19007b25 471199d7cc49e0493f57525aca48728ba2361db0 4867ffa9dabd5781f2a7bb8ba2e9f9331cd8b492 4c279f855a0da00f5f839bc3518cbcb3a4e8f93a 4d1f2656816d17d0c34b93286dc83d34d81d2a3b 52d3adf5cd83cccb439017fed6067df0ac7c4941 55ba19de2319f0ff56d1faeef48ccec2a960131d 59269dfa33d5461e21b03718112ba5aeefe072a4 5d0ba25873750ab935e404ea71fe2c04cae84274 6bef5e9c28ea0c437c17f4b06104042afe315b92 74e5b5fe026a8a1fc04b0f0ab9df9f8eda429ab8 75035683338846e9826818f3bf82da1eb6405f23 7be4656b8110ef241cf9e0f6eb81296972c6470b 82f48110eca46774ac436ad8bc6fc932293a4e56 84718b5ab99d42a471dd2e43fed56f54e3f7d1b7 90334d8260177833b50e7b095fc39cffc76e79b9 9123d9e1200550b06471282a6dc261754a5b6519 926025ef31a0229627e34122ea9f676513b6b432 928b542c8554dfc09b1a53f0bff20b522f916652 9b535bc2908038e3379fce10e92c8902dc341565 9b6e6ae630199e4835456259d6b8c023dcd6dab9 a1712d6960f6c951a8d18dee4635084d0cc10205 a431ea9d7e876ad64e55d4a5fbdcb16044ddd7d7 b2f2ddd9bed9be10246572e0a46a4a33084c72b8 b4b17df9ed41690f359c62e4fd6bd7161b16cf41 c687b73d2a7ee23914364568f8be1c937c9c80e1 cb1406109617d3c13158858629e9cab775957bf0 cf7fe6e02d5287e010a65f75b7e06ae2fc6657cb d5cf40cbaa4a10a52832da94c14f247b1a2c6511 d6b75a43f63dd315fb84041fcdb5fa3d61f017a6 e1066a47c5ecb7985f4e2b0125c1c7f62bac15fa e33548e27532a48b7597b38932f8db7f38dadc79 e379790e4b595d177484c769376daa6ccb3ac4c1 e86f85d39f94ed88b1df2bdf77aa5fbb9a3606ab e988b83beb0ed888cb823567ce85d674c850908f Package: mrtrix-doc Source: mrtrix Version: 0.2.13-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3409 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.13-1~nd90+1_all.deb Size: 3187114 SHA256: 31a178d9ac35d4f4abb464fce20b1f93262be7f72496533c7115944ce78d4f58 SHA1: 0c47708637640b4c6090784f8b3f14a5e585f7db MD5sum: 1247be3183759043b51ea93c08d00c9c Description: documentation for mrtrix Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: mrtrix3 Version: 3.0~rc3+git86-g4b523b413-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 49581 Depends: neurodebian-popularity-contest, libc6 (>= 2.23), libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.2), libgl1-mesa-glx | libgl1, libgomp1 (>= 4.9), libqt4-opengl (>= 4:4.7.0~beta1), libqtcore4 (>= 4:4.7.0~beta1), libqtgui4 (>= 4:4.8.0), libstdc++6 (>= 6), zlib1g (>= 1:1.1.4) Recommends: python-numpy Suggests: mrtrix3-doc, octave, python, python2, matlab-support Conflicts: mrtrix Homepage: http://www.mrtrix.org Priority: optional Section: science Filename: pool/main/m/mrtrix3/mrtrix3_3.0~rc3+git86-g4b523b413-2~nd90+1_i386.deb Size: 8227628 SHA256: ea3f3fae1de18b5685df4fe768808b56b8dd93aa3803b812503234268362bb71 SHA1: 9f415abc1525e0918f5b38c37331453a4e76c8a9 MD5sum: 635492661fad7cc61b695fa1dd920bd9 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: mrtrix3-dbgsym Source: mrtrix3 Version: 3.0~rc3+git86-g4b523b413-2~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 490017 Depends: mrtrix3 (= 3.0~rc3+git86-g4b523b413-2~nd90+1) Homepage: http://www.mrtrix.org Priority: extra Section: debug Filename: pool/main/m/mrtrix3/mrtrix3-dbgsym_3.0~rc3+git86-g4b523b413-2~nd90+1_i386.deb Size: 482668906 SHA256: b3555c6974eb19efae27af6708242424c24adea7688553cf2c4d9ef994dce31a SHA1: 94d90ffac2928d2edefe83b722089dc75be8f12a MD5sum: 2da6ec5be0b1e80fc4bf20852462029b Description: Debug symbols for mrtrix3 Build-Ids: 0912f7ba80f4acac401ecc48f550a66cced60f49 0add3edc6a3cff1f4b78d0a05e3afba4ee9ae483 0f12f909ed014c7f1db4b511c7adf89b014fa5c1 103dc787380364f63a8311cb053cadd794e73dcf 1288063f35617b7da9687c40828cecc141447ea7 129c982ddcf5248ba20a60980a2f5959a284d6b7 131dcc9796b035954a95721661f2080dff2e3ba3 132395bd075f3b6b48bae5cf9e76f6aa73659cf6 15e636c94874c8e13bb6ca69d5a88e7af07d0cd9 19d13b4db761f28fefe6da9ce3fff1a53f5385a7 1a52618e6ed3b7e7de21911400374feb6a52818f 1ede2809643c3e50bfe4ed1aea6d87c9224f6c6e 2143a89fed812fe45923a31818f0b05e55770e08 23efb28aed147ba01025a622b5f6d680cbfb5c22 28ac1965b1a1d2f5bd3d05f1a979ef375130fc91 291e547bf5b3dfcd99b55dc216ee3be32e5f8ca4 2c7ea056c821ebe2a423deedc157efe2d2aca6a5 2d96e56bbd2c8f77e4d82f32afb98381bc1bc7a4 2f23b4fe513693d813ed1b15646cc7ed206a371d 30cd250bddd69c35b92730dd68ffdc1500f76e47 339c16a785785b266dac5d4e00337d4f61597d96 35ed458d1f4897705f7728910fbe6a9726455380 3a29c351874dd6212c2a5805480a3ebd31b3bb0a 3c64599d32528b19a57b87bd0590343e0ac2cb32 3fdfc00664ea1b07a26377cd44a42b7b5d1eb55c 41dfacef101f08e59e2983e0971087d15f0d3239 4387defffe9db1826cecf0cc57925e94359bf84b 4bed0ae177277dff8a87f813c33e77ddff1bce76 4c984ff2e4efab2057869032502943d4c4b570f7 4f05a1a6b228c15b091a3e1fcce13ff59c475105 50cb0b001147277b9d6447dd4edb414108f3ed5d 52084d469d1ee1c09794c89268d132bd18def402 529d46221d991b46e6967f22a4b0e74c9e3c636a 5487c34af6055ee9f2d5c19f6ad4b22e25205d08 634b1c7dbc1fbb74f6ebc297bfa26f035acd6c37 63920e183d7361aa9e5ada43b53dcd0b5ca1aa98 65b9930497906596e7803bc83511319fe6ed2657 699b285b6eed4eb2e259229e21203fd7ca5b9e6d 6d90cbb516eaca9d6818570094060fe3f42436d0 6e2d831be679db3528c1746d2252666bafb1e4b3 6e6f26431a61aee89a75215bef04e4209d314c74 6e79354ebdeea399a767b5b1dca21bad0bee9f90 6e7d2cf4a0bd444d024334686d4407932b695274 72b2428a6d37127a24238faa7ba06723fbcd85a3 738b4242ff211ff801032ce65533ce6052799c10 78336fca1ca2f7a67989a4ffc1364c7bee57fcfd 7b6cf13f06bebd4fd8c268e9ba4fba1d40b3721f 7b7d56ff5759fa9994e3e4fee4c9d56c26595279 8163e368ec7aa7cab43eedbe1d0900f65ea7d5cc 825f14f9adec9ed2d2c5d7ffcdc70de3ea7a5fba 83f1f250a1127644d71b9143099ccf52aa508f62 847316bbfd022c1509a107ae8b5b2cdcfa86d085 84b2ef3661c45dc0b6c740d6e6ceee2db4d3a1e6 852f4d69081583cdae9c9ebea1d42d21495d1b3f 899015d277e3a002ee32cfe0daedd676982e3657 8ca7804ddc39ede58802e3f7c3ea6b75f7a07135 8db056f983f5e25d24c81a207aca9ba0c74e0af1 8dbc85b9f8673e906e8bcf75526c19f3676927d5 9160ef0996fa0e0794f3181690bd9cf3e820a71e 9c0a8972c7b9cce393e1d356ea3850aa358553dd 9f3d55694020cbbd4f9e013d092d48380b15182d a0862dbae212622871f6e8a97decad08aaecc5de a1c32c9a72617214b0d95fbbb8305faf03a95dc6 ade6391d059fad6c22ec844d7c0993c7080fd1ec af1875df27bfb049ba33d90aaab5fd6e81aa42a8 b1557c992d64e2b895910b340128b1be8f8f5de7 b16880d2a68b649074220147e4005b3f54435b15 b484087025acb031c9b3efa8b583ee16cf5dec22 b86949695ad6e44d93fa587b345e7822b2326c0a b919febeea15463d668605823d0fbe4ab34904a8 bb90793f7f704abbdfdd4633af64da0aa48eafc6 bc069a72ca3f40e2059e66e5b7552f47f5e208d0 be77450f19d9bc7af36095b257a5e5daf0b9ec9d bf0696689997e3723f573ef09b082df431c51c7c bf0d32d4de956bfbde90b90e163e5e97a30aa4df bf40e6dde30cffd28cf59a7782d06cb5b933daac bfd22e6e0d853241ce68a11354206bb06767f834 c2630fc08c7f7ebd246cc2945fb782cdd347a4c2 c7986cdfdea6d97de06f402eff14fdac85d8e6bf ca85e5a07134461e57e02dff7365a6dc4cd180b4 caa6b58e1fe5d5e8a47b149914bd807ac44cb8b7 cd54f6d167a4e9a8a99ed146344b4e5a175e86b5 cdf001208c8443adee274468b743dd9315a604fc ce38cb2d583d7d5665f8bc7011b411ec9362dd05 ce6429baa709bffd39a55612640ca6630063dc8b cfbbc35e9d7758dfc1b646ac2de7048a305c313f cff79b58d2007af9d5e1a3f09cc63dd18b710d83 d214abe36806b43ee5a835d6c9416773ab33f91a d5d6bd095f1d88b12bfb550c211d5a5909d9f3cd d61d2835d3baa6b0992af835f6d08531187133a1 d9e674f41b56c7a2238af24d1233cbda05cca0a1 da7c572b0cd056f055a9959d98e4d0f8f180f105 dad0c06d4a4ab2885ebadd71e2cda0a58bc84517 dd4f589b223b758bd541262ee4e47dcb37610855 ddb30487e96b19926ba2e1187774080c7098bfd0 df2534e1b42155f51c7cf46e6fcdeba2772b7fe7 e05f1c968b1ce473aa144ce0fde63582be815991 e15f62ce8679a2219d134cf289b2f73a5cbb623f e56f78c9611f1ac59c5d07ae91c4f9fb81beddd4 e6d4710cec760f5099fcdc4df8ef41db17691ebb ed07a2374359d1dcafc03ee2d90200f54aa2f839 ef6a766d23f5a1ed4d98927c21afebe69c591231 f2312a53162a5f0e848d56ba8a36cecb92a81c9f f4f738a668b8285dc9eb6a6485b63f7af8f762b0 f500215a8ed792aecb20481b378338bd69592bb6 f58216ddcb457439f572338d9c6e1a978be4b035 fb9e4078ffbae5c76ac2b092bdff3da8c9a9ab3c fceb01809faec46a52f642198c97501cb77594ee Package: mrtrix3-doc Source: mrtrix3 Version: 3.0.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 87 Depends: neurodebian-popularity-contest Conflicts: mrtrix-doc Homepage: https://www.mrtrix.org Priority: optional Section: doc Filename: pool/main/m/mrtrix3/mrtrix3-doc_3.0.3-1~nd90+1_all.deb Size: 48642 SHA256: b32414f48a093ce8d87797c63b88087cff9d8d40a60a661346163f42366f221a SHA1: e5e63fc84c645a198ac51ff270be56cb4307f270 MD5sum: be206536a967b8d7b3d4147a04e96253 Description: documentation for mrtrix3 Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: mwrap Version: 0.33-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 301 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 214522 SHA256: f1ca92b9019dba77bbf56e60ba7fc6459667da3426f49d378841203b656810b2 SHA1: 504943be9b9eab8b42058856676ee33f727b75ee MD5sum: 410cf7598821d70d5eb9b34fd1a90203 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: ncdu Version: 1.14.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 110 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libncursesw5 (>= 6), libtinfo5 (>= 6) Homepage: http://dev.yorhel.nl/ncdu/ Priority: optional Section: admin Filename: pool/main/n/ncdu/ncdu_1.14.1-1~nd90+1_i386.deb Size: 48998 SHA256: aa54ab757af940c9d4d025b862b7565929c716bc6bc555ec2e9f0335b14c9588 SHA1: 096c34550fe6db93f931664ef1a2323236093e1d MD5sum: 5dfed55c32e7f7c46de9abdfb052ceb0 Description: ncurses disk usage viewer Ncdu is a ncurses-based du viewer. It provides a fast and easy-to-use interface through famous du utility. It allows one to browse through the directories and show percentages of disk usage with ncurses library. Package: ncdu-dbgsym Source: ncdu Version: 1.14.1-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 77 Depends: ncdu (= 1.14.1-1~nd90+1) Homepage: http://dev.yorhel.nl/ncdu/ Priority: extra Section: debug Filename: pool/main/n/ncdu/ncdu-dbgsym_1.14.1-1~nd90+1_i386.deb Size: 59016 SHA256: b518683ec8ca0656b049cc40bb4e0ffad02eef2c49dc84bd0be8818e08b0ee2f SHA1: 3e4a867a2eaf5c2d63e91fb66b3faaef16c5f08e MD5sum: 860bffa262000e506e62ff954c7ffdc3 Description: Debug symbols for ncdu Build-Ids: 0317c90328be76a73038919e50d4a5e212e96797 Package: netselect Version: 0.3.ds1-25~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 62 Depends: neurodebian-popularity-contest, libc6 (>= 2.1), 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_i386.deb Size: 30558 SHA256: ed1523eb1185c785369d0616abf7a9d7b336f627883adc81b6754127b1e2ee24 SHA1: 2706e28a29635517677b544307511c994db3b366 MD5sum: 30d8d994780f867494068fc528a00916 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: 0.41.2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 93 Depends: python3, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.41.2~nd90+1_all.deb Size: 36134 SHA256: 2fd82097b58135363e1e57bec17d538b26d04155a539190289a3beca5d4c7b62 SHA1: 5e9621d6af342687ddd3c1014ec1bba47a70f7b0 MD5sum: f8b5193bd8502f1b54638bb563a39413 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: 0.41.2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: gnupg2 | gnupg, dirmngr Breaks: neurodebian-keyring (<< 0.34~) Replaces: neurodebian-keyring (<< 0.34~) Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-archive-keyring_0.41.2~nd90+1_all.deb Size: 11690 SHA256: abe66c4cc36558c2bf14ba051631c6c3466374523cf0b5cb6e8499ba61e08fd4 SHA1: 611e89d93a6f47fe19067d5385965950487c92a7 MD5sum: 575f5dfc30aae26544ef1090abe7328c 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: 0.41.2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 198 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_0.41.2~nd90+1_all.deb Size: 122194 SHA256: cd2ef00b41c251fe03ded610bc835aaa801d181f195bf0c91522423136bee02f SHA1: c1b5bc8266916847ac33340f3b439b431cba97fd MD5sum: 2e44622506c76840820f9b683286271b 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: 0.41.2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 113 Depends: devscripts, neurodebian-archive-keyring Recommends: python3, zerofree, moreutils, time, debian-archive-keyring, apt-utils, cowbuilder, neurodebian-freeze Suggests: virtualbox-ose, virtualbox-ose-fuse, singularity-container Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.41.2~nd90+1_all.deb Size: 35302 SHA256: 2fc087368d900645f99c71c3d10267da09a7e459177c37d0ffb90c6e548e63ba SHA1: ebdfb36f8bb0ac52f8b3695c2f6ab0c3d5071e13 MD5sum: c1aff9468883e421e2e9d82a1ef6983c Description: neuroscience-oriented distribution - development tools The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-freeze Source: neurodebian Version: 0.41.2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.41.2~nd90+1_all.deb Size: 16050 SHA256: 480f1009edec350e00fc2f2d6b423a0969365835ecb22c5d936d34227a16afe3 SHA1: 7c010c07d52d31214dad014711eecfbfd5f82839 MD5sum: 9d487bbd51aa6d1b9a6b396c85e16880 Description: nd_freeze tool to freeze APT sources to use snapshots The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This minimalistic package provides nd_freeze script to be used in rich or minimalistic environments (such as Docker or Singularity recipes) to freeze their APT sources. Intended to assist making such images reproducible. Package: neurodebian-guest-additions Source: neurodebian Version: 0.41.2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 142 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_0.41.2~nd90+1_all.deb Size: 18280 SHA256: c35d6ee6c2d98bff1c8ce55d282ab920c8237719b301afec9dece34ae5af92bb SHA1: cbff8b2200676fe23c790dd3c80df2dd5e97f46e MD5sum: 6fb98773e35e5f936f94c2590d0f7e35 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: 0.41.2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.41.2~nd90+1_all.deb Size: 13752 SHA256: 0dda25de13de5405e032e8fec4ef367813b3a95b98d97cc81d574c0d5b93a370 SHA1: c15bd761cdb4eb6366277c4ef82615057fb85d93 MD5sum: 3b765ffbdae0635f98380ac3aa469d5f 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: i386 Maintainer: NeuroDebian Team Installed-Size: 155 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_i386.deb Size: 56008 SHA256: ef6e39779d45c0399485c38e100184024436979361be436a0627efd46b009309 SHA1: 79bc9f06c532dd32f8fc36859e460e71a518521f MD5sum: 7af8bb543f614ba1ae6b2a5d4cff8cb8 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2351 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 363180 SHA256: a97950af1fd4ada415b6440f8e9917ea8188b45af79b55218b9f29f8fa279d5d SHA1: 2909fa402247074f6bfe87ec7c18b35eafbb4b88 MD5sum: a6878fab3028d635977bfc003c832ff9 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: 1.0.6+ds-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 22793 Depends: neurodebian-popularity-contest, gcc (>= 5.0) | g++ (>= 4.4) | clang (>= 3.0), scons (>= 2.0.0), python3-jinja2, python3-appdirs | base-files (<< 7.2), python3-dev, zlib1g-dev, libzstd-dev, ccache, patchelf, python3:any (>= 3.3~), python:any (<< 2.8), python:any (>= 2.7~) Recommends: python3-lxml, python3-tqdm, strace, libfuse2 Homepage: https://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_1.0.6+ds-1~nd90+1_all.deb Size: 2100808 SHA256: bb655d8331abfbb750fe1b9337eb3760f0c01f730bc052ff489fe8d0ad2042db SHA1: 34d090a9658f6fd2e6f47b43e5af998de63f12b5 MD5sum: f264734ef2ec6d1850b56617edac145e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 910 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_i386.deb Size: 601012 SHA256: dabf454e25637fc5ee4b1e7b1251dd11786a65cd39ae577eb6912c7324236ec7 SHA1: 1bb46994dfc8cbe6e44188536cecb7cb27c69346 MD5sum: e367b794c754352cce53c45ba55cbfb0 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 89 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_i386.deb Size: 62924 SHA256: 3dfb2c80c6dab06413bdd416beec358006cd72f25bc2f6dc302122f53a0de6f1 SHA1: 5f44014d7ba97c9d357c7e446ce47f654b653b1c MD5sum: 841947b438bd54d33a434f2f6ed2a6c4 Description: Debug symbols for numdiff Build-Ids: 70628e5f6aa16d6d1d303edb0272dfddd3a5a031 84cd2fd78e5fa13296c420931ce9d86808e269ee Package: octave-biosig Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 81 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_i386.deb Size: 20544 SHA256: 2ca11ded8b1e0d344f15d0b3ce403cd46225d634ab678cee0b31f1788ee26f45 SHA1: 0b945525ebd8dce5eea61394c81d88818a464479 MD5sum: 5c11497b394f3b024621ddfd41274523 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 333 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), libc6 (>= 2.4), 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_i386.deb Size: 85340 SHA256: bc7813088f96cb0c3d93b49b5041fe04118b67a56a6989c1bc4c1c6c28d93b52 SHA1: 97ea726712cb27d8bf8da0fcd234487687567ef3 MD5sum: 61e3c68aa98b1782ad58b2ff924bab04 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 163 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.4), 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_i386.deb Size: 32994 SHA256: c60493b8931bfe538b5a82b4f1c378f897ec3a52dbf8267db18c0af54e1b0c9e SHA1: e9b17a926a3acde011bcabad24207762d93c5981 MD5sum: 8b71cc6c8d9387f86da9afd1e8c27339 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: 3.0.16.20200326.dfsg1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4238 Depends: neurodebian-popularity-contest, octave (>= 3.4.3-1~), freeglut3, libasound2 (>= 1.0.16), libc6 (>= 2.12), 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), libportaudio2 (>= 19+svn20101113), libstdc++6 (>= 4.1.1), libusb-1.0-0 (>= 2:1.0.9), libx11-6 (>= 2:1.2.99.901), libx11-xcb1, libxcb-dri3-0, libxcb1, libxext6, libxfixes3 (>= 1:5.0), libxi6 (>= 2:1.2.99.4), libxml2 (>= 2.6.27), libxrandr2 (>= 2:1.4.0), libxxf86vm1, psychtoolbox-3-common (= 3.0.16.20200326.dfsg1-1~nd90+1), psychtoolbox-3-lib (= 3.0.16.20200326.dfsg1-1~nd90+1) Recommends: octave-image, octave-optim, octave-signal, octave-statistics, octave-pkg-dev Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.16.20200326.dfsg1-1~nd90+1_i386.deb Size: 838494 SHA256: 523dcd3ccadc2d01e98285b48fc4f9d48169a0a2fe9f24094b1ac0ef2ee91fec SHA1: 999f355a7718769ca3a7dd98810b46f2fb36310f MD5sum: a83b4eca48083ff48c291d4cf9fc415f 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: i386 Maintainer: NeuroDebian Team Installed-Size: 4243 Depends: neurodebian-popularity-contest, libblitz0ldbl, libc6 (>= 2.4), 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_i386.deb Size: 1295942 SHA256: ab361f41f65183ade4d38e99fb87e728449aecbed03f8f07ee4587003a2002e5 SHA1: 5ed8f6826bb7cccffbf5a9abc427a882615663ee MD5sum: b1e22484f009c4214857778acac89ed9 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: 112~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 537 Depends: neurodebian-popularity-contest, python3-pip, gettext, jq, po-debconf Recommends: autopkgtest, madison-lite, pristine-tar Multi-Arch: foreign Priority: optional Section: devel Filename: pool/main/o/openstack-pkg-tools/openstack-pkg-tools_112~nd90+1_all.deb Size: 100736 SHA256: a1f3f620de490470bd8afba49eb79beff7b1ea9c72e3bb34202490aaf3011387 SHA1: 056606e6dc27bc93912fe16b8ba5823463af4913 MD5sum: 6e878883b8f486cdd181b751d57bd66e Description: Tools and scripts for building Openstack packages in Debian This package contains some useful shell scripts and helpers for building the OpenStack packages in Debian, including: . * shared code for maintainer scripts (.config, .postinst, ...). * init script templates to automatically generate init scripts for sysv-rc and systemd. * tools to build backports using sbuild and/or Jenkins based on gbp workflow. * utility to maintain git packaging (to be included in a debian/rules). . Even if this package is maintained in order to build OpenStack packages, it is of a general purpose, and it can be used for building any package. Package: openwalnut-modules Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19757 Depends: neurodebian-popularity-contest, libbiosig1, libboost-filesystem1.55.0, libboost-regex1.55.0, libboost-system1.55.0, libboost-thread1.55.0, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnifti2, libopenscenegraph100, libopenthreads20, 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_i386.deb Size: 3566710 SHA256: 409ff9a445375bd6e97749759b073da9104d6cf50cbcc9d401653ea9a03eb2a6 SHA1: bdc64231ab443b7d42bfafcc30d3961c4acb4249 MD5sum: cb447c1729956d85eb424045a26676b4 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2118 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 (>= 2.4), libgcc1 (>= 1:4.1.1), libopenscenegraph100, libopenthreads20, 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_i386.deb Size: 775422 SHA256: 155fbb0c57f0c808fc4cb45c88d24ecc4846c0e37743bd7c614635e67e4d934a SHA1: 62ad61da35ca01b7cbcc4db08c071f6562db398a MD5sum: 6a151aca5909028068eff7210ffc7050 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 941 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.2), 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_i386.deb Size: 384600 SHA256: e051454924e1aea1c380a2932ec703c0e6e72e6cbd66e16900ffda099b9f398b SHA1: cd5ca0d0ea728ac2f3f0d7e5cca2b9b034836a39 MD5sum: 7eaabdbb2a91718fc8084523965a28a4 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2336 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_i386.deb Size: 2219244 SHA256: f43c148e11ec4e12d2a0e246c190f315fd7d44b98d15b7d1096ac8dd680187b7 SHA1: 7e704ba5b6a0b5ebab9a832c987279d5e7a4653d MD5sum: 2a3c4cefaacc0ef3d38c841ad923b828 Description: Debug symbols for p7zip Auto-Built-Package: debug-symbols Build-Ids: 62dc2d2bb62bd953956935b12e4874b1f78c6092 Package: p7zip-full Source: p7zip Version: 16.02+dfsg-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4535 Pre-Depends: dpkg (>= 1.17.13) Depends: neurodebian-popularity-contest, p7zip (= 16.02+dfsg-1~nd90+1), libc6 (>= 2.4), libgcc1 (>= 1:4.2), 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_i386.deb Size: 1366924 SHA256: 1373828c84323679a0b537e34e48c5b2f853bd2c4c52d3a868e3d7769bf22b7a SHA1: 9c580d4670cfa7a9de66ad633e31158f53fdfe27 MD5sum: c870fd5ad6f8c2f5b9be332a7cc2b078 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10723 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_i386.deb Size: 10188392 SHA256: 6c3d255c4764002f4e787b0abcf1471ef0ef55a294096c98e5a5370ee9a91a20 SHA1: 5a156f7aaafeddc9ab3684e0c3108f954ab9c99f MD5sum: d38e7e1d15feb172790a154a7436ce96 Description: Debug symbols for p7zip-full Auto-Built-Package: debug-symbols Build-Ids: 484d11117ed8f15b5ed2f4c45414669de7eb9f45 7ad440302f192c6fa38d4371c8337382354b0001 7b70c37d8e7883013b926b8b9480835fdf916aa8 a7f79b7296e5b23621577d47323a3fe85d53f659 Package: patool Version: 1.12-3+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 410 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: file Suggests: arj, bzip2 | lbzip2 | pbzip2, cabextract | lcab, ncompress, cpio | bsdcpio, lzop, p7zip-full, rar | unrar | zip | unzip, rpm2cpio, binutils, lha, unace | unace-nonfree | nomarch, unalz, lrzip (>= 0.551), tar (>= 1.26) | bsdtar, xdms, orange, lzip | plzip | clzip | pdlzip, sharutils, flac, archmage, genisoimage, python-argcomplete Homepage: http://wummel.github.io/patool/ Priority: optional Section: utils Filename: pool/main/p/patool/patool_1.12-3+nd1~nd90+1_all.deb Size: 37536 SHA256: 9c2f40a63038642dd25a6fe73a21596bfbb0213c61e3ba0d3254b24793d1188f SHA1: 80c9b92aea4d88e162745b9c9ba2c222a79b763c MD5sum: 71dbdd16074792561d67ce55288f9594 Description: command line archive file manager Various archive formats can be created, extracted, tested, listed, compared, searched and repacked by patool. The archive format is determined with file and as a fallback by the archive file extension. . patool supports 7z (.7z), ACE (.ace), ADF (.adf), ALZIP (.alz), AR (.a), ARC (.arc), ARJ (.arj), BZIP2 (.bz2), CAB (.cab), compress (.Z), CPIO (.cpio), DEB (.deb), DMS (.dms), FLAC (.flac), GZIP (.gz), ISO (.iso), LZH (.lha, .lzh), LZIP (.lz), LZMA (.lzma), LZOP (.lzo), RAR (.rar), RPM (.rpm), RZIP (.rz), SHAR (.shar), SHN (.shn), TAR (.tar), XZ (.xz), ZIP (.zip, .jar) and ZOO (.zoo) formats. . It relies on helper applications to handle those archive formats (for example bzip2 for BZIP2 archives). . The archive formats TAR, ZIP, BZIP2 and GZIP are supported natively and do not require helper applications to be installed. Package: 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: 3.0.16.20200326.dfsg1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 669447 Depends: neurodebian-popularity-contest Recommends: alsa-utils, gamemode Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.16.20200326.dfsg1-1~nd90+1_all.deb Size: 24045298 SHA256: f14d94a8618fdad76439d485c02433ba7a055eb1868a3f5235123cce1486a04d SHA1: 51310eefb008edfc081b55b80609ae57508d6029 MD5sum: 57c07f2c640e9e7160e6239bacdabd79 Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: psychtoolbox-3-dbg Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9374 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.16.20200326.dfsg1-1~nd90+1) Homepage: http://psychtoolbox.org Priority: optional Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.16.20200326.dfsg1-1~nd90+1_i386.deb Size: 8285592 SHA256: 753c20ef461f9398e1c3d2567dfa1225c7348c9a6af893d14a52bba2423586dd SHA1: d2b0b88f5ffadedf91ea1d4ef0e1504b7e4129e7 MD5sum: a6325612b729b0552b0c1e6311ebdd3a Description: toolbox for vision research -- debug symbols for binaries Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . To ease debugging and troubleshooting this package contains debug symbols for Octave bindings and other binaries. Build-Ids: 88126cd401aaa98c444a5e6f624dcb377cfd10f1 Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.16.20200326.dfsg1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 177 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), 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: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.16.20200326.dfsg1-1~nd90+1_i386.deb Size: 75390 SHA256: d412c6a2ebcf05342c752902536fd32f46307fb0173ad2f71086ece7375e120d SHA1: 5ac4032c1ff105f62ba52fcc6d266fb62dac78a8 MD5sum: 3a87c8eb9cba90941cd5e36db25282ba Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: pypy-hypothesis Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, pypy-enum34, pypy, pypy-attr Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/pypy-hypothesis_3.44.1-1~bpo9+1~nd90+1_all.deb Size: 161870 SHA256: bddef352d5fec85e5418126b95bbc4a7e30545e814f868356572b774bc703bf3 SHA1: 7d487d2042325c5d1a72e2ef8f539247009f8000 MD5sum: 56772b1a0177d0bb42389754d6c3a81a 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-babel Version: 2.6.0+dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 413 Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd90+1), python-pkg-resources, python-tz, python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python-babel_2.6.0+dfsg.1-1~nd90+1_all.deb Size: 88306 SHA256: 971fd7c191015334440b88a6ee0f3ae3180f5f0d394c9cc6f664722c4d0da695 SHA1: 7638d426b5e34f942bf1c54105fc1ae3e935b29e MD5sum: 97ac6f1efdb67bdfae057c5294e30811 Description: tools for internationalizing Python applications - Python 2.x Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package provides the Python 2.x module. Package: python-babel-doc Source: python-babel Version: 2.6.0+dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 925 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Homepage: http://babel.pocoo.org/ Priority: optional Section: doc Filename: pool/main/p/python-babel/python-babel-doc_2.6.0+dfsg.1-1~nd90+1_all.deb Size: 179012 SHA256: a00060e239914f89e3f84f8630a1997a26494d3ed99a51ecf34c1a4fe24ea7ec SHA1: d44b8d4abf8d528951a56a0d4f348b22991f36f6 MD5sum: 8651c97bc0d7f973f4fc98db819daebb Description: tools for internationalizing Python applications - documentation Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package contains the Babel documentation. Package: python-babel-localedata Source: python-babel Version: 2.6.0+dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20957 Depends: neurodebian-popularity-contest Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python-babel-localedata_2.6.0+dfsg.1-1~nd90+1_all.deb Size: 4075750 SHA256: fa21529cf2a572a48fbae4845e187ea27257f38ec856ef1f5dae5b911fccc747 SHA1: 29196d45081b032dead1897a024d44dcbd707d06 MD5sum: 0167119f6c1b9451c18f512104a0ef52 Description: tools for internationalizing Python applications - locale data files Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package contains the locale data files used by both python-babel and python3-babel. Package: python-biosig Source: biosig4c++ Version: 1.4.1-2~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 218 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 (>= 2.3.6-6~), 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_i386.deb Size: 43284 SHA256: a0c96a10de8291b504ce81fd4523efab1bc325d1983301d0d0be95ac85af5047 SHA1: 15bafd14f9950169f10f3ccc3e2fabc05844c2ce MD5sum: 7f6f1bec0ef2d3e9f7e5449491799c5b 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-boto Version: 2.44.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six Provides: python2.7-boto Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python-boto_2.44.0-1~nd90+1_all.deb Size: 740948 SHA256: 32923fde5a1e58f2f3d96e1aced1f65672c9630f5e065804c6ed3ede587702ec SHA1: c48e3b929c113d6ab054ef808c84a26c365bbf5d MD5sum: c30d3674071e8ef7b4e5b3c7671a3cf1 Description: Python interface to Amazon's Web Services - Python 2.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 2.x module. Package: python-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), libc6 (>= 2.4), 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_i386.deb Size: 41730 SHA256: 5a73d99a36a76bcc424f025cd9fe6fda2eaed8df0870decc92cfb1140549f872 SHA1: 7aaf4a4023dfee860b5fc04765031004a8767bff MD5sum: 23007fa3a5e31e2daf307f34e14f8c63 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 153 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_i386.deb Size: 124972 SHA256: a5e968fad57271eecabce7ff6301434bb2bcaa6134e4b6a1814c5b0f310ea7fc SHA1: 2a023d4d0f8afff878e6e3c8ccee979e8a53e813 MD5sum: 587c4f1c9cedd777a88cebcb45b89b28 Description: Debug symbols for python-brian-lib Auto-Built-Package: debug-symbols Build-Ids: 7218b8d9d27c0138bc082b5ad8886b1dbb30c8ec ae07bccddc4ac455b874ef206473440df5188bb8 Package: python-bz2file Version: 0.98-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-bz2file Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python-bz2file_0.98-1~nd90+1_all.deb Size: 7828 SHA256: a0632a8f789f2252208ecf9594e29534361962d56f002c63ad4c284452c2d823 SHA1: 5008a394324519318ea28c08addfd042dfd577c7 MD5sum: cad82f5946f14ef047354a72aec00130 Description: Python library for reading and writing bzip2-compressed files Bz2file is a Python library for reading and writing bzip2-compressed files. . It contains a drop-in replacement for the file interface in the standard library's bz2 module, including features from the latest development version of CPython that are not available in older releases. . Bz2file for Python2. Package: python-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-dcmstack Source: dcmstack Version: 0.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 509 Depends: neurodebian-popularity-contest, python-dicom (>= 0.9.7~), python-nibabel (>= 2.0~), python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-sphinxdoc (>= 1.0) Provides: python2.7-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python-dcmstack_0.7-1~nd90+1_all.deb Size: 78386 SHA256: a3d2294197887dbeeb5692db0703bf62a21e5c6537444685a49c2040f849fd91 SHA1: 5c4d80a0e7ef344ecad1b77c457754ae09a06808 MD5sum: e3382de1033abf6421a32049f5295988 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: 1.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python-dicom_1.2.1-1~nd90+1_all.deb Size: 4808 SHA256: bd66e7ae6369c10924e253de56b7864aba934f3d9d4b137d8b0fbea6956aafbd SHA1: 98029a896f176b2dddc51fcb3af7a5550aa87a4b MD5sum: ba809c7dea3981c697d15c7a7b376020 Description: transitional package for python-pydicom This is a transitional package. It can safely be removed. Package: python-dipy Source: dipy Version: 0.14.0-1~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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10692 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.4), libgomp1 (>= 4.9) Provides: python2.7-dipy-lib Homepage: http://dipy.org Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.14.0-1~nd90+1_i386.deb Size: 1647060 SHA256: 838e8a0567e12a9f0671dd7e06e063752a6339cccef0281156fa806e19f370f4 SHA1: 4de42dd5290dbebbcc3adc07cc9d3674cace2da6 MD5sum: 1a8dad846c59f346e3a120c40f84216c 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9016 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_i386.deb Size: 7966260 SHA256: 79f729869ebbab15eada7fde0692b549e0d58bde49688ee1cd4c654d368b0c88 SHA1: f22a40bd7b843ed5d59ab90e7120d29eacdcf7e7 MD5sum: e10f2ed51a43e6edad86f75fcb72a95e Description: Debug symbols for python-dipy-lib Build-Ids: 0e9b55d6a7ccfd8c87e2a907706e44b9198c191c 1466af5fe03ce3d987a0b1c3970a2cd49c826f7f 16bf6b97b516712dee82acefb7eb020728d3fd1e 210afd608aa14940fdac77f1c618b76b4581be52 2908360196c0cd60e8b6b8f8c983593958ada8c7 36cef97ca32df862b9f2a5608067639b5b89dbec 3b2da01b2ba7812de561725f32c8ead18a0b448f 3e95814ffae4ebce36ebba3ad7e6cef3558ec0f2 4491011995f6eabf17052d211d15bb690c7884c7 46d3712e6de776ecd80f04290269d07278d97ca7 49f8c2352e1d0c285129aeed4ab381d5b5ba34cb 5ddf06c3ce14d0ddf1302a4cbc53370f4d31ad80 5f8f425161f90bd2671d897931bcb8c5173eeec3 6385b3a2fbadc618b12339946c8a547ceb5daa20 67d54041627a0caeea9aad0accca42cc14eafb73 6cb98c568e9669b467a32026be428502424208b6 73d15b7210081436750b613c1d647c7b00eccfe1 760bf79dcf748b3ffbfbb67fa69f11953fba6a1b 7f702c61c064ece3478cc749e35735b4dbc767ed 7fe92d8d22d77bd8a20b6055c0536b12699c6944 8715757bf3eba028c7b77633bb722a9f1c524858 887a87ca71cfae49d13c145fc8d8c5dea62f4b9f 8f5cc16d203dde9e9bb96b1e1fb0ad96b5adf552 92769840bb7d6698d8a8cf9b58784bf40b0ab788 9877ec897a460d7a181e4df67ea9bb714cbf5e67 ab090bb4701763cd284dec45c60b41d3485daed6 b6c14cf488775fd2aec836f2a9ddc8223a385d9a c176774e47b48d0df24de651b52b3d53cdb79b13 c24c0ecadf131d0b95049bca061d53c516df976f c690bf0b85ecc3105fe893caab4441896da0795f c795a81c9f1993e156f6d66719676b575676e097 cda485538a65cb524b025e7659905b6f154612b4 d08a9087a2573d19c8214182277e0b24b2723a0a d2b9d3669b407681c57df4fe8691f326a14c45e5 e310df0ed1c863f02e8b9c9940f7ba2bfa36a8a5 e733ed402702f9dd40d66d48ec1a248d1515651a ecaab326e7f66d293d0d89c29cbc52406592bed5 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: 0.7.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 250 Depends: neurodebian-popularity-contest, python-citeproc, python-requests, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python-duecredit_0.7.0-1~nd90+1_all.deb Size: 57310 SHA256: 063cbc38f3b682d40a6497d34b074b8f0a6ccebea661a6af22036a2e6143df24 SHA1: b014156bbcc5c1644a72456122f59daa1dcd2e8d MD5sum: c1c89c0c9b48caa5fbe8d35c212a037e Description: Publications (and donations) tracer - Python 2.X duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python-exif Version: 2.1.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-exif Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python-exif_2.1.2-1~nd90+1_all.deb Size: 30886 SHA256: e73873ad34f8367a30e069bb026976ede00fe6eb03afb9ba76d79aa63fe62ec6 SHA1: e99ddc1365100521a95da4e91d61691f90a199ef MD5sum: c285c846fbd838dc05602705aed5882c Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 2.x module. Package: python-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-filelock Version: 3.0.12-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python-filelock_3.0.12-1+nd1~nd90+1_all.deb Size: 8102 SHA256: fa3efd71dd45d5d00919199354230163e5393f8af139d42544b014179bcac7bc SHA1: 8c6dfda4683d0507ee2fc0d26b9459e42016e54c MD5sum: 6069fc81056261924120f74c577035c3 Description: platform independent file locking module (Python 2) This package contains a single module, which implements a platform independent file locking mechanism for Python. The lock includes a lock counter and is thread safe. This means, when locking the same lock object twice, it will not block. . This package installs the Python 2 version. Package: python-freenect Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 147 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_i386.deb Size: 47038 SHA256: 586a739e9c573fb2e30e3184a46a806b36f31c15e755fada20d7493cd6f6b1ec SHA1: fc467b719f6a019628f77b33deff790d384f6c07 MD5sum: c45f884d27b19e404e8e06bc595987d6 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: 3.0.5-1~nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1022 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Breaks: python-git Replaces: python-git Multi-Arch: foreign Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: doc Filename: pool/main/p/python-git/python-git-doc_3.0.5-1~nd1~nd90+1_all.deb Size: 129624 SHA256: a7823ea12d2b62eb444e6c6650f986b4b812fea373756b0fa1b21cb21c9a9b05 SHA1: 8cdbb66aa6d1c3a731b4f32a34fc1069ea65a4c2 MD5sum: fe64fac68539bc57497dc60a199eb70d Description: Python library to interact with Git repositories - docs python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. . This package provides the documentation. Package: python-gitdb Version: 2.0.6-1~nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python-smmap (>> 2), python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-gitdb Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python-gitdb_2.0.6-1~nd1~nd90+1_all.deb Size: 46956 SHA256: 6c28570a1bc1b058635ef94a692e9fcbe786f9c9db3ef41ebd17017ca10f834d SHA1: 1303251be0734e1d0da8f9490268e066aa44ae77 MD5sum: 36e83f6968f452d5c8d9c7ed9c861c3e Description: pure-Python git object database (Python 2) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package contains the Python 2.x module. Package: python-gitdb-dbgsym Source: python-gitdb Version: 0.6.4-3~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 35 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_i386.deb Size: 22808 SHA256: a7ec7954196121079c55121dfcb40797763cccafc983cee0ff6d460c3fe0a181 SHA1: 067ba8220058ef514816ee025d0787ae2eefff40 MD5sum: 7706cba7064af5c88db9050359366055 Description: Debug symbols for python-gitdb Auto-Built-Package: debug-symbols Build-Ids: 4b160bd95e5a693d4541e814208c36621929e02d Package: python-github Source: pygithub Version: 1.40-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 807 Depends: neurodebian-popularity-contest, python-jwt, python-requests, python:any (<< 2.8), python:any (>= 2.7.5-5~) Conflicts: python-pygithub Replaces: python-pygithub Provides: python-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python-github_1.40-1+nd1~nd90+1_all.deb Size: 55726 SHA256: 9b1b1813770f59e75854907c9a8f889751139fcaacc6bb72868e85a8bd553bc8 SHA1: 57911ba9a8e53452b72926e36a91063d9546448a MD5sum: 5285f249aae111466522c3a557e01c14 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-h5py Source: h5py Version: 2.7.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2799 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libhdf5-100 Suggests: python-h5py-doc Homepage: http://www.h5py.org/ Priority: optional Section: python Filename: pool/main/h/h5py/python-h5py_2.7.1-2~nd90+1_i386.deb Size: 565054 SHA256: 53022873d992b266b27d7b39b404c37760f348214d57f929d0e98a83bb32d623 SHA1: ef6887ca6709e9f978c787c149941373b261c3c1 MD5sum: 1b5168feaada1691415175d2c80b9e8b Description: general-purpose Python interface to hdf5 (Python 2) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the modules for Python 2. Package: python-h5py-dbg Source: h5py Version: 2.7.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10104 Depends: neurodebian-popularity-contest, python-dbg (<< 2.8), python-dbg (>= 2.7~), python-dbg:any (<< 2.8), python-dbg:any (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, libc6 (>= 2.4), libhdf5-100, python-h5py (= 2.7.1-2~nd90+1), python-numpy-dbg Homepage: http://www.h5py.org/ Priority: extra Section: debug Filename: pool/main/h/h5py/python-h5py-dbg_2.7.1-2~nd90+1_i386.deb Size: 3714540 SHA256: 13dafcd08e20bf44601ed726a02ff285b978f6cd54c83a51794a28b36194b618 SHA1: 9127c1d937d7d50e1ba1fdf21827dccbafb3cb9b MD5sum: b14e135903916e37987e932a9abb23a1 Description: debug extensions for h5py (Python 2) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the debug extensions for Python 2. Build-Ids: 322054a88fbd279f76c84e6f40fd578dd13303b8 637b69a2b84eb893c1392e5b157177c21172a215 67f7bdbce5838aa8d840e0f89d8b1917b3f7de5b 6a5590326bd4a58b59a6c208e3ddb39df3bae8ea 73955e48fc7681576fc4afbca21474e126c3ee5f 80e1ef992f7b1ce1c8f788d95474b8472b26ef5a 89cc4ef4a6f018f8f0affd034d4e3342dcb60c75 89d7e06e760f74824424d85f924d8efbcc8f9124 8bd180bf6463849b40344bcdc7e84838fbd3906e 90fdcfba4333119168d0db92078b18afd342f115 aa7050641ebc3d486e9994f884d659f9aab77c16 c0ce464086c097bcbfca80eb9d9a63487c5547fc c1f788b5f889927156d4a609cb486457c60b52f1 c386796f8e97b701d69c10c7641ea6284f714ce9 c4dd1c08942073cfa91d9bbd1e0ba4dad6633061 c96cda8551910b938255646cf67d68a352bc4b5d ce241faeae9cab526e14a1d5c6d66ffa1d813dcf ce7abe3779ce94bedb530b94af63d16d11351373 d3903ff67f0047da0d6a3542d776f8503ee74bfd d83372b555700b63c74519b3cd6e9db081de7b5d da7b35570ee8c85ef3ce739c33363255a9108dff dc9310ed9d6eb6286a3c3daa602f845d092c35ba Package: python-h5py-doc Source: h5py Version: 2.7.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1389 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Built-Using: sphinx (= 1.4.9-2) Multi-Arch: foreign Homepage: http://www.h5py.org/ Priority: optional Section: doc Filename: pool/main/h/h5py/python-h5py-doc_2.7.1-2~nd90+1_all.deb Size: 168870 SHA256: 385413b96d67dff0a7f599f195064ccd7da16f7aaf87396aab21ab4c48c13fe8 SHA1: fd1ffe02355b03c239ab5bf4e85b8545763fe0e1 MD5sum: a6cde8bf34d8fe3db9b4e52cdc8b09d3 Description: documentation for h5py HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the documentation. Package: python-httpretty Version: 0.8.14-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 98 Depends: neurodebian-popularity-contest, python-urllib3, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python-httpretty_0.8.14-1~nd90+1_all.deb Size: 20968 SHA256: c2d059678bf80a175e9f2fcfcedb3ac557e32b5f61cbb922081fb92e7c257ed5 SHA1: dd0012294bd1ec35e52fd386958e86bc3cb54976 MD5sum: 342a131829b977d607c5b2aae602b7a0 Description: HTTP client mock - Python 2.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 2.x module. Package: python-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: 3.44.1-1~bpo9+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, python-enum34, python-attr, python-coverage, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python-hypothesis_3.44.1-1~bpo9+1~nd90+1_all.deb Size: 161734 SHA256: 4c7e6275517e5be841ffe7255063195ec0257c9f08a10ed3d4d3523ea3681f3b SHA1: 9ae1e4a7a5b53436f83603271ce07d7425349b18 MD5sum: 973d0f03bc8b99fb530457a17bdb34f5 Description: advanced Quickcheck style testing library for Python 2 Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the Python 2 module. Package: python-hypothesis-doc Source: python-hypothesis Version: 3.44.1-1~bpo9+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1123 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: doc Filename: pool/main/p/python-hypothesis/python-hypothesis-doc_3.44.1-1~bpo9+1~nd90+1_all.deb Size: 187278 SHA256: cdb27aab50eefc089b47f16853b4e1c15b99376875d984a559a6cb993b91a53c SHA1: afd124895a8f4104e88c578782f9e7ba11f96e84 MD5sum: b5893ec400383782529b038940072daa Description: advanced Quickcheck style testing library (documentation) Hypothesis is a library for testing your Python code against a much larger range of examples than you would ever want to write by hand. It's based on the Haskell library, Quickcheck, and is designed to integrate seamlessly into your existing Python unit testing work flow. . Hypothesis is both extremely practical and also advances the state of the art of unit testing by some way. It's easy to use, stable, and extremely powerful. If you're not using Hypothesis to test your project then you're missing out. . This package contains the documentation for Hypothesis. Package: python-indexed-gzip Source: indexed-gzip Version: 0.8.6-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1271 Depends: neurodebian-popularity-contest, cython, python-numpy (>= 1:1.10.0~b1), libc6 (>= 2.4), zlib1g (>= 1:1.2.2.4), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-indexed-gzip Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: optional Section: python Filename: pool/main/i/indexed-gzip/python-indexed-gzip_0.8.6-1~nd90+1_i386.deb Size: 321388 SHA256: 06618cfcc58862447e3bd049c612eea422cfc082308a208c8fe9326ff3def9f9 SHA1: 3ccec2790458eb01e5a31ca10e3009a6481fd268 MD5sum: bf39eb383b63615ebc7b3bbf1b674d9f Description: fast random access of gzip files in Python Drop-in replacement `IndexedGzipFile` for the built-in Python `gzip.GzipFile` class that does not need to start decompressing from the beginning of the file when for every `seek()`. It gets around this performance limitation by building an index, which contains *seek points*, mappings between corresponding locations in the compressed and uncompressed data streams. Each seek point is accompanied by a chunk (32KB) of uncompressed data which is used to initialise the decompression algorithm, allowing to start reading from any seek point. If the index is built with a seek point spacing of 1MB, only 512KB (on average) of data have to be decompressed to read from any location in the file. . This package provides the Python 2 module. Package: python-indexed-gzip-dbgsym Source: indexed-gzip Version: 0.8.6-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 882 Depends: python-indexed-gzip (= 0.8.6-1~nd90+1) Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: extra Section: debug Filename: pool/main/i/indexed-gzip/python-indexed-gzip-dbgsym_0.8.6-1~nd90+1_i386.deb Size: 791564 SHA256: 736708e2de5747796cec45edca9098e8df1e961dc74c79c3c3beefdbd9502450 SHA1: ebc36da5a20f4ca41beb6851b15d7a10058cc563 MD5sum: a2921495e8fc30511b36b367f7ca28ad Description: Debug symbols for python-indexed-gzip Build-Ids: 36bf9259f6d169ab1af8e734059ff0342ebd822b cbc1c4fee0da3e64d88c91001c2fcbf639c8d4f2 d3f0557508343faf79fc52ce281d29f56956ed29 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: 0.13.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 875 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), procps Recommends: python-numpy, python-pytest, python-simplejson, python-lz4, python-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.13.2-1~nd90+1_all.deb Size: 192702 SHA256: 3960df6217d77f1d75b84c67253d56fc4d5607f3f944f401e3784e5b34f8a56d SHA1: 18fad2ca5056b1b5bb057abd469e8dcb91e31ac0 MD5sum: f16dd5d89533539badea96ba62ada138 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1267 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 236582 SHA256: a6606d1b0617518d4f2f02d126fa38bb9a73042e12fac90b5c6d990ccfa9de28 SHA1: 60929a0a58b0788f497062ebcb90c7d0b984afd4 MD5sum: 4cf5ec25133b532ec416f582305691c8 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-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python-tz, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python-libxmp_2.0.1+git20140309.5437b0a-4~nd90+1_all.deb Size: 24360 SHA256: 4ddc0fc1e9f11e924d99ddd6b86476742efdfd4991c5b44d7d609794ce07fc8b SHA1: 6677d713e88ca561c7b7875e22cdc821dd120934 MD5sum: d36969a167aea1e1939ed57caf22c8ad Description: Python library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python bindings. Package: python-libxmp-doc Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 249 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-libxmp, python3-libxmp Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: doc Filename: pool/main/p/python-xmp-toolkit/python-libxmp-doc_2.0.1+git20140309.5437b0a-4~nd90+1_all.deb Size: 40678 SHA256: d19d7071a7d293ed000b99236fa208959b82fb3e7d7c1ced60d7c9ebed3f51b2 SHA1: 0629bee9cfa5ecd8451d06a7f35d1f2b21054b55 MD5sum: 18a10f08a3c637326c1854fe5575bf70 Description: Python library for XMP metadata - documentation Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package contains the documentation. Package: python-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1559 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_i386.deb Size: 326406 SHA256: f2a346633c0d6d77668b0189d6f8222b88c7bdfff54aca166661b4eea8144959 SHA1: f37dd1c20f4d649ecc3c2849156cbb7f7d2cbf36 MD5sum: 2d6e61976fbad72b563bd99b10503f4b 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3597 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_i386.deb Size: 933106 SHA256: 8ce7894690399ac695a613c7c14c8962e74d6495a997d85ede40365fb0a0e93c SHA1: 3aee0dd4f29f7ee63c7021ce0e8755ce91eef665 MD5sum: 6e7ca63c1fa59340eab9171e392a21ff 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: 0.4.8-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 240 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Provides: msgpack-python Homepage: https://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python-msgpack_0.4.8-1~nd90+1_i386.deb Size: 67036 SHA256: db941b66c15b33682834f87e7e8ec3dd86d8594ef3170cdc6d1d85410d656557 SHA1: 8cc63f55af4fad8f789319a0403adc1cbf77faae MD5sum: c438fe8417512f3715fb769d254c1dee 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-msgpack-dbgsym Source: msgpack-python Version: 0.4.8-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 193 Depends: python-msgpack (= 0.4.8-1~nd90+1) Homepage: https://pypi.python.org/pypi/msgpack-python/ Priority: extra Section: debug Filename: pool/main/m/msgpack-python/python-msgpack-dbgsym_0.4.8-1~nd90+1_i386.deb Size: 153956 SHA256: de4937826073a99dff52511f03cd927f6aa8a0c659da8d8e76761e0be71addc9 SHA1: 33de67f4a922c0a13eda9deccf3b7d41d2dffa0d MD5sum: f58a338fb16be18fa42a0df33939f255 Description: Debug symbols for python-msgpack Build-Ids: 7a0ce75f77403e9a424fc902392142007abd2bb8 a95afca862d2a30b167750bbcb25ec566f386ad8 Package: python-mutagen Source: mutagen Version: 1.38-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 673 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python-mutagen_1.38-1+nd1~nd90+1_all.deb Size: 138154 SHA256: 23c75ad67d47c74d1fc7d2e1844747672c3ced3b8f9a213c11511d413ba4b0ee SHA1: f9df91b4b8bcc52cf4c4695e88c852ddafbd83d8 MD5sum: 41fdf6b2a521801b100466de827ef03b Description: audio metadata editing library Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. Package: python-mutagen-doc Source: mutagen Version: 1.38-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 965 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Recommends: python-mutagen Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: doc Filename: pool/main/m/mutagen/python-mutagen-doc_1.38-1+nd1~nd90+1_all.deb Size: 124378 SHA256: b1aab1002a944174600de14106120f0bb00e533719e2b390dfa9ee07284bf189 SHA1: a3d79fbeab2e8cc7800d4b86e6ddd17317fb19bc MD5sum: 7add11eae2c63d472fd53ee86b58b8b1 Description: audio metadata editing library - documentation Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package provides documentation for the mutagen package. Package: python-mvpa-lib Source: pymvpa Version: 0.4.8-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 127 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.8), python (>= 2.7), python-support (>= 0.90.0), python-numpy Provides: python2.7-mvpa-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa-lib_0.4.8-1~nd70+1+nd90+1_i386.deb Size: 39280 SHA256: a8affbc010a92c640a72d016fc3dc0c967ac5d03816ac57d51bf0fc76b5107de SHA1: 00c38d532dbd113ad449c31f07ba6d8ae18d7b04 MD5sum: 127a98d926c13bad350e405ef02d5620 Description: low-level implementations and bindings for PyMVPA 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. Python-Version: 2.7 Package: python-mvpa2 Source: pymvpa2 Version: 2.6.5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8602 Depends: neurodebian-popularity-contest, python-numpy, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-mvpa2-lib (>= 2.6.5-1~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_2.6.5-1~nd90+1_all.deb Size: 5108176 SHA256: 674c5b056f43a8f5acbece2322bf8c387cea10298ccc6e34e99439e76bebc62f SHA1: 1a9904b9df0ad942ffd472d6bcbe690bc8d2f0fb MD5sum: 173f5cdc4e76cc2156b83a6126552948 Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.7 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.6.5-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36522 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.6.5-1~nd90+1_all.deb Size: 4698278 SHA256: 39af2095b0799d1f77e179681c6838f0e5c9641eb8e914233a1929c8dad6cecf SHA1: 4e3c968f61bee39e3f5bb83e398a6b9b26dfe798 MD5sum: d2cb62a2f8857ff58ebad4625143fec5 Description: documentation and examples for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a HTML documentation (tutorial, FAQ etc.), and example scripts. In addition the PyMVPA tutorial is also provided as IPython notebooks. Package: python-mvpa2-lib Source: pymvpa2 Version: 2.6.5-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 140 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5), libsvm3, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~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_2.6.5-1~nd90+1_i386.deb Size: 52832 SHA256: d8f2aac67e537c18020c431065a798ea4c95997e52328f292fa4f0d70df98cad SHA1: bf6f0f654d4acb3886ee76d5e507bf8e0a68e5d6 MD5sum: 73852e14db432a415f607fc0bfce4849 Description: low-level implementations and bindings for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. . This is a package of a development snapshot. The latest released version is provided by the python-mvpa-lib package. Python-Version: 2.7 Package: python-mvpa2-lib-dbgsym Source: pymvpa2 Version: 2.6.5-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 107 Depends: python-mvpa2-lib (= 2.6.5-1~nd90+1) Homepage: http://www.pymvpa.org Priority: extra Section: debug Filename: pool/main/p/pymvpa2/python-mvpa2-lib-dbgsym_2.6.5-1~nd90+1_i386.deb Size: 83622 SHA256: 0f856198377ef1577c2af435c779005583c7307cabceb1812b26049bc0ad2742 SHA1: b1b6130a1afa957ecd4d863350683beafeb91a68 MD5sum: 2f3dd5e59e60213847504d4edaab2740 Description: Debug symbols for python-mvpa2-lib Build-Ids: 32a29e3dcdc9cb807e62a2a456f16c5ec0b9b9f2 e9e7f7c178b0a14e45fd5c19564aac325c93631d 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: i386 Maintainer: NeuroDebian Team Installed-Size: 80 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_i386.deb Size: 20830 SHA256: 53a4768b8876a656938a34c20407ed4d3a044acf3875c552cf3e6c4df429f8be SHA1: 81c31015ce29c925d00fe8d7a92133b795d70403 MD5sum: 74c304e4cb7ddd2cbfc9e3ca7a2cd5a8 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: 2.5.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65853 Depends: neurodebian-popularity-contest, python-bz2file, python-numpy, python-six (>= 1.3), python2.7:any, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc, python-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.5.1-1~nd90+1_all.deb Size: 2667270 SHA256: 40404d6343bdbb4715cb4fe68eea59c6cc0e15a671a5c1a932909a95270d16aa SHA1: 4f406bfe89ea49633fb6d7adb7427502a74bb1e7 MD5sum: 713179dad1fcc4f96e1e21c407ce04cd Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.5.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9268 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.5.1-1~nd90+1_all.deb Size: 1698662 SHA256: 6ebb62bfd9e523ba62fdfa5eeed6fc89e3ba99711b7210306b98b03066eac0e9 SHA1: 6db1bc6c534055c8d530aca8ce707477c86c737e MD5sum: 0a3c7d5c0d30026355c32a5127493433 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1140 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 256128 SHA256: 7ffb07c69498b8202f4693e81a1819b9830283719acea8330c6dbba0986aa864 SHA1: 19e894f350a4b63337c4f4948620ed9f86697b9b MD5sum: 764588759f38ca5bd1da70b59e57b20c 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: 0.4.2-2~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 (>= 0.4.2-2~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_0.4.2-2~nd90+1_all.deb Size: 784776 SHA256: f21c7998d061afbd46a358ec9c47b41f34f24fd9fb8a3c65248c1d9d4c13842a SHA1: 36a2c211a462cb37de1af8114ca66cb5bc6bd64a MD5sum: 922eeb7d3bd68f222ca50244f02329fc Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.4.2-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9354 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.4.2-2~nd90+1_all.deb Size: 1866612 SHA256: a2c341a11bf729bd4ace561bc8cf9f09f199d182bbdfd311e5fcd4974c104c22 SHA1: 3761f5592bd0448f0bfc1b5d1ce7849b62b03872 MD5sum: 976a78dea7259c3d1b2126d233ed3ee5 Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-nipy-lib Source: nipy Version: 0.4.2-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2850 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_0.4.2-2~nd90+1_i386.deb Size: 587384 SHA256: fef5635ad305be0e01b13cf7d90864aae98e9d120e31479138bf21647a095236 SHA1: 556d759b14059d6cacac1403fc07c20e738427b5 MD5sum: a0e3b35fdb0a056b371f81513ecb2508 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Python-Version: 2.7 Package: python-nipy-lib-dbg Source: nipy Version: 0.4.2-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3074 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python-dbg (<< 2.8), python-dbg (>= 2.7), python-nipy-lib (= 0.4.2-2~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_0.4.2-2~nd90+1_i386.deb Size: 651762 SHA256: 131ceaae4d47b4bbfcaaa1ad630d695c1fd9e316ef552a0cf3320e3a9532117f SHA1: c1e8b004056ccbdf47059741ff2cb0e258e02763 MD5sum: 944d63a1220d0ff6c434ad8aa8d06693 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: 0.4.2-2~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2216 Depends: python-nipy-lib-dbg (= 0.4.2-2~nd90+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg-dbgsym_0.4.2-2~nd90+1_i386.deb Size: 1896616 SHA256: 9cd599cff6f80f2d6f33d6ed5a52f4a0e2d9fde1acfc7ecc5458cc7beb5e85d8 SHA1: 705e5d9136fd2b8b0bd105d02af7aafd00b6c0ac MD5sum: 88095a55942a9b979e44ca9d75dc6885 Description: Debug symbols for python-nipy-lib-dbg Build-Ids: 0d5700a15d7b76aa76454fd452f6079d4952acd8 24a39f1e3820d2e47c556c13485358613a40fc1c 2fc99662d0562fc1bc253eab12355250e59098c0 3c0d88706122a8c78b7485aa0be8d083607326a3 459f893c77416cfd26d71dbd45acef8660422a7d 795f8a8a615e204e7e77f56dbcdb184b82fd02bd 9389f1c72a2656cc51517e00740d680dcab1f039 9456597d9d6f76272976fa36c224d3c03b231ce5 cf1665b78544e6efa32199461704e2df28454251 d1b985224ba04ea6c352d5346264f977358a109b d5c83e1d26cea295f85db2e6f3811d2fb60bc819 e5c56cbb2e9328c43b55029d672fb034438d001c f050b7cb69d98aca80173f92c44191b53328e9fd f0aa3c67925bbf2aaba3bd8b1955ef49e2dec468 Python-Version: 2.7 Package: python-nipy-lib-dbgsym Source: nipy Version: 0.4.2-2~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2122 Depends: python-nipy-lib (= 0.4.2-2~nd90+1) Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbgsym_0.4.2-2~nd90+1_i386.deb Size: 1803804 SHA256: 102de497e3716dbfe1aa40298793af31fa40f094e6a8de39452c746a31f8509d SHA1: d79efd8982bb840fe7383bbfd644cfa9e63be40b MD5sum: 79078e72b20e54629cc696ff3df95689 Description: Debug symbols for python-nipy-lib Build-Ids: 14652e14b2371e4f74c65a94f7e4b92a5359b8e1 1c1c317852aff2f7ca46d32182b06825acbd8c52 346f5b6c0f597d4bf2da0d3f75053280910f0717 3aabea40f46a60ff7ffad900388bd273be1f876f 3b68f4c87bf70d144dac146ad03c28b3c6d0171a 4ab8d9d6c517cd925909570e9c1ced96fa956044 568be9c34058fc1410825895e6e8b92fe16289d8 644c310ed5592d8e5a95776278326c97381d628b 75b5974b6e6f3e8254bb89a3ea217a562a228103 7bbd46e979d88cf1d0608ba47c32ceb89c4805ab d1f2643b093940bc2f1d0e3557e458537d79ecef d3e4b1e620a4b97379c3b19074d96e9a07fceb33 eaa3f325d90a5d5b62250a57ab363e836ff71f66 f42610c7f74edccd35e35bfa5c3eca35d6aa4894 Python-Version: 2.7 Package: python-nipype Source: nipype Version: 1.1.9-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10996 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-click, python-concurrent.futures, python-configparser, python-dateutil (>= 2.2), python-funcsigs, python-future, python-networkx (>= 1.3), python-nibabel (>= 1.0.0~), python-numpy, python-packaging, python-prov, python-scipy, python-simplejson, python-traits, python:any (>= 2.6.6-7~), python-traits (>= 4.5.0) | python-traits4 (>= 4.5.0), python-psutil Recommends: ipython, python-pytest, graphviz, python-xvfbwrapper, mayavi2, python-mock, python-pydotplus, python-pydot, python-cfflib Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat, mne-python, elastix, ants, python-pytest-xdist, python-bids Provides: python2.7-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_1.1.9-1~nd90+1_all.deb Size: 1899574 SHA256: 79d2d7e0324b2110ea292dd867249e623656c49f66df108bd9f4754a6a25eda2 SHA1: 78c82cdefe8cba6e04a3eb3d63c58a75bfa5e6a8 MD5sum: 3caaae84779ab7799fe7a0337fc0b9df Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 1.1.9-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 38642 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_1.1.9-1~nd90+1_all.deb Size: 17566414 SHA256: e4009b4114b0576f09606f161a100041cb6af9c679d7d08b60816d3e4c1ec67e SHA1: b0defd8b619ad5450193bd0fbc437183bcacebf4 MD5sum: 0b9321d0efd3456c4189f0550641ea21 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 262 Depends: neurodebian-popularity-contest, libnlopt0 (= 2.4.1+dfsg-1~nd80+1+nd90+1), libc6 (>= 2.4), 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_i386.deb Size: 68336 SHA256: 9b14a0c0eab6c72a308b8cd5490839c08b69a0ba796069ac2543ca7ff236fd8c SHA1: a214ec92a61dbace8f1f331c04a6d44a0a86abfa MD5sum: 4c4fa9c09a55e4559ed33a1d00395529 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 476 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python-numexpr_2.6.2-1~nd90+1_i386.deb Size: 130046 SHA256: 88db2269644d929548180da7f702b0a0b8fb926cedefcc8bc53f7320526d2aec SHA1: 5d00a6f1ca8dca4dd7a70b62ff046b606079b348 MD5sum: 419c4e8f7b34fb5cbe1ec7e8d866eb73 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 338 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 (>= 2.4), libgcc1 (>= 1:4.2), 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_i386.deb Size: 97324 SHA256: eeae2c67479429e43521d19d2e1d75f4b83aef7aa8b1da1a5df54084f831c8a4 SHA1: 339d6fb609aecda7022f101c348eec6936e75ee2 MD5sum: f0700a35480abfa6f57b7672dffa05ca 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 242 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_i386.deb Size: 213566 SHA256: c9c08e87b0929084bee9bc4f27f9f89e996e3566c6ff7710b52f3e1aa90c81f5 SHA1: 28c2e9412af9df5a6e512c95537673636dc7ebc8 MD5sum: 0a83da1179fd9a96d13fd6fe2f202225 Description: Debug symbols for python-numexpr-dbg Auto-Built-Package: debug-symbols Build-Ids: 0c150be71a94017eb456b459e57b980d33829190 Package: python-numexpr-dbgsym Source: numexpr Version: 2.6.2-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 241 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_i386.deb Size: 212728 SHA256: 2c4c5f1a2a4798eeb60fa2318b6abaa15c0804cabad4a491548a046983981a7a SHA1: e5a3b25a69f5f94637ec008583d227f7ce03aba1 MD5sum: bc1272c99af5b62961595536132f8995 Description: Debug symbols for python-numexpr Build-Ids: 90b92b343e2e7bfbd29059ee6fa8020422be01dc 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 14144 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 2497646 SHA256: 4e3bf7a26a0a89ea071b23ac908c4b7c39595703ced6cbb7285c4e5c7b035ea4 SHA1: 50b2da3e7dd99215d7e52e3a3cbf6d692e1d7842 MD5sum: bed1646ac3301fd9b72d580017e7f0c5 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11674 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_i386.deb Size: 10515472 SHA256: fbe6b2875eaac9b4e22efcb15378b4fe3f5c8c2b7bdd31b4eb73bed53b7e2d42 SHA1: 3266a210d1b014edc64645170fb68d9743d366fd MD5sum: 4c312afe558188b4154768d3960af50e Description: Debug symbols for python-pandas-lib Build-Ids: 16eb89a719468223e2f91782518d647b4eaeef40 20b5875dbc24658a41fa6a9b3302cca0c3d865d2 219706e00ed4f89d290563041b4c6367abeda434 29b165c6ef0f12522d705bc141f622d79fc61dfa 2aaa0cb37b4d418fd4b8b415d5eb9a22aa03e07d 44f196870203e69b243f9d71f1584c17bad1dd4a 46d9b84396220106b2a0fb4d7f69841250684542 4b25cab3e498c1fdeeed626f0f220bd8d4882bfc 4f89f89306082e73a4c167aab97a2e0f0b01f83b 519b2151170ee08605785a8d1b471fa81c728b4e 6450a6e48a54990350f4e9cb68aa27fc6b14a519 6d8f0e46a31406508c64d62f54aed049d9e7b391 74c3b4c6415e512d828f421965bfeb2b5126837c 7ab5b4e11593d74c246c9ed14c605656fa55ea42 7c6ab89b49261caf9b35dcb4b39aa8c421505473 800d69a15ec39684455ab6c723d06b1c8a8c7a5c 8b074fa3fbaecf57f62749921c8833cc237601ae 9f883b134d92864761ff321f142198d49547b021 acb65b611f1e3bad2ed3f6d7276e934eac789ed3 ad44e9621b2bdc3da76b0780402519e609373999 bb2825e43929cfb8fb485f30ab695292582ef438 c367cbb158d9d35bfc9daa505a193ea210005db6 cc03ffcc0ce83905a7ab8a0f34280ca0415b2e57 e84cd523ed2629a13723fbaf256bceecdca75a01 f1265b8482e1b5e2cbfec1903892d7d393c64483 f54cdd4931007037410432ec5856fc1f2b0172d2 f98bc0b8f7490d0c762f82cff1df34883f268301 Python-Version: 2.7 Package: python-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 784 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-six, python:any (>= 2.6.6-7~) Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.5.0+git13-g54dcf7b-1~nd90+1_all.deb Size: 171758 SHA256: 6ac05f24430ccad2a915b4e1b0e94b0f8446cd4b6ddb92b8447857f9c553ec1e SHA1: b9c0ba24453463390c46918273526e3d4fb4f276 MD5sum: 6e51005644307d14062f170d746b8d21 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 2 version. Package: python-patsy-doc Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1073 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-patsy Homepage: http://github.com/pydata/patsy Priority: optional Section: doc Filename: pool/main/p/patsy/python-patsy-doc_0.5.0+git13-g54dcf7b-1~nd90+1_all.deb Size: 238574 SHA256: 242cd324a8a25eccc39258d2111e0286930bb3923797f342878e664de8177ea4 SHA1: 8191cc0bbc7566b57403cf124a8649bf8889bc12 MD5sum: f644b0a77ac055cd463304e332924da8 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 576 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_i386.deb Size: 116630 SHA256: 9e22dfd5a4aa79d73d73ab985dd72938c77238807386109a860ad993b8850a0b SHA1: 39492a4b458daed1ffe9037c405e37dbbb31bf46 MD5sum: 2adaca853f02b315d7f69deccecd4085 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-pydicom Source: pydicom Version: 1.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14179 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~) Recommends: python-numpy, python-pil Suggests: python-matplotlib, python-gdcm Breaks: python-dicom (<< 1~) Replaces: python-dicom (<< 1~) Provides: python-dicom Homepage: https://pydicom.github.io Priority: optional Section: python Filename: pool/main/p/pydicom/python-pydicom_1.2.1-1~nd90+1_all.deb Size: 4397350 SHA256: d29049c9ccdc58f77bd0c640f80d38705e07f6ad1b9ee716853bee846e79bf99 SHA1: 2b707ccc64037dc7a82cd0b2fd77259fcfad0218 MD5sum: 3b9a8018870cb636991f561065ab3513 Description: DICOM medical file reading and writing (Python 2) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package installs the module for Python 2. Package: python-pydicom-doc Source: pydicom Version: 1.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2781 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0), sphinx-rtd-theme-common Breaks: python-dicom-doc (<< 1~) Replaces: python-dicom-doc (<< 1~) Provides: python-dicom-doc Homepage: https://pydicom.github.io Priority: optional Section: doc Filename: pool/main/p/pydicom/python-pydicom-doc_1.2.1-1~nd90+1_all.deb Size: 347458 SHA256: fa9d5156f0fee89dcee472b2a96a9a0412957aebf53265fb00da2a9eafdc7cd8 SHA1: 37b28bed15734bddf7f225950389dc98e58d0b8d MD5sum: 42e430d10b5c51158920c17dd09a0649 Description: DICOM medical file reading and writing (documentation) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package contains the documentation. Package: python-pydot Source: pydot Version: 1.2.3-1.1~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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1409 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 (>= 2.4), 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_i386.deb Size: 273972 SHA256: 914905818c47be26ec10de40c62597e328fa3be658cb2d2f944731e040fdafca SHA1: 49349917ba6845074ebb71f9b365788b7690f722 MD5sum: 2d100812a307d7c0c5e8c162ec6a0de3 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 390 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4), 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_i386.deb Size: 74944 SHA256: 255379aeb19022353f1a0bbae74d6173840a79887f8a92de704e661198451159 SHA1: 640145037fe3f23d96152f739e1d501eceacd658 MD5sum: e9530ba5b39894e7079701a2e9ecbecd 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 243 Depends: neurodebian-popularity-contest, python-pygraphviz (= 1.3.1-1~nd90+1), python-dbg, libc6 (>= 2.4), 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_i386.deb Size: 103294 SHA256: d6799f5df94a872f58ba0a9bd9a9f636ed156e79e580269dc28c2b6c9824301b SHA1: 08ebc9aadd82e9b40522c232f3f4c9dcad541049 MD5sum: 08e7c662cec2bb03cdfda410adbae187 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: de0516179a91f057a29f17181cded67a00c38a10 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2712 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, libblas3 | libblas.so.3, libc6 (>= 2.11), 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_i386.deb Size: 526532 SHA256: 93bbc2d0cc6305d4b091beae807dc7f6c6175078c83cbdaa31ad6782b6cd3cf7 SHA1: f0e88860d4186c881b3ed991af7775863aeb0b4a MD5sum: 2afd9f51f892697633ba5d87bb64044e 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-pynwb Source: pynwb Version: 0.5.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 687 Depends: neurodebian-popularity-contest, python-dateutil, python-h5py, python-numpy, python-pandas, python-requests, python-ruamel.yaml, python-six, python:any (<< 2.8), python:any (>= 2.7.5-5~) Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python-pynwb_0.5.1-1~nd90+1_all.deb Size: 98246 SHA256: 1bed104fb3172d57ae47b615eafdaff907c37c5d97ac7205749f49d481a6545f SHA1: 8c65ec188a94255131a624b9121dd0ec7a9b5069 MD5sum: f6da1b111026f396933c1ff5b0a4869c Description: Python library for working with Neurodata in the NWB format PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format. . Neurodata Without Borders: Neurophysiology (NWB:N) is a project to develop a unified data format for cellular-based neurophysiology data, focused on the dynamics of groups of neurons measured under a large range of experimental conditions. Package: python-pyperclip Version: 1.6.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python:any (>= 2.6.6-7~), xclip | xsel | python-gi | python-qt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python-pyperclip_1.6.0-2~nd90+1_all.deb Size: 9430 SHA256: 2b5a18b0739a50c67b7753a4e6e4794ba7830187d94034315bd1fe546c336d06 SHA1: eb8786cd34b23fc1bcf5b34b1d811dfb48dc8ca4 MD5sum: 1ad53e237f64aa406de9420b6bbead6e Description: Cross-platform clipboard module for Python This module is a cross-platform Python module for copy and paste clipboard functions. . It currently only handles plaintext. Package: python-pypsignifit Source: psignifit3 Version: 3.0~beta.20120611.1-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1564 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 334146 SHA256: 0e8a279c8260b6ac9d12485a92958ae9b5734138dca512d230ef84a93319d17d SHA1: 0a037709d51dbb308bf59c2a51da5e71887fb2fa MD5sum: 2b0594e89ad065934d5807da44d0e615 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: 0.19.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7024 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.19.2-1~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_0.19.2-1~nd90+1_all.deb Size: 1457358 SHA256: a1c9462c14b87c71f11ea7ebfe91cbb7385d4ed53ffdb7d2c511bfa4a838b55d SHA1: 8be9de70388dc186c2e669444c638be35f0b65ab MD5sum: 0af214883cc0b7c7535242691449f2ff Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.19.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 33481 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.19.2-1~nd90+1_all.deb Size: 5087212 SHA256: 6ff44fbefdb5f3dd28529a34f9fad0c00428be3af969c74fe18455e1c2af3938 SHA1: 4ae67fd7a5744689f66a0fefe2d43165829761dc MD5sum: cde6232978efd6650b05e622e91bb3e2 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-sklearn-lib Source: scikit-learn Version: 0.19.2-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6756 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_0.19.2-1~nd90+1_i386.deb Size: 1347034 SHA256: ab86c529ce94c4eb76dd99dea5c2c363c7b75d690b3856ed0b0fb041d033080f SHA1: 96781dbfac0d55d52ef85f5ff5362bfb2a3e0190 MD5sum: 9a386029a87abc0159d58ed1f5863bed Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. Package: python-sklearn-lib-dbgsym Source: scikit-learn Version: 0.19.2-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6300 Depends: python-sklearn-lib (= 0.19.2-1~nd90+1) Homepage: http://scikit-learn.sourceforge.net Priority: extra Section: debug Filename: pool/main/s/scikit-learn/python-sklearn-lib-dbgsym_0.19.2-1~nd90+1_i386.deb Size: 5464764 SHA256: 2308fa7fffd79efd46004f58e43a7bdd5a5dbce3be007493dc82f543e3970888 SHA1: 5216c54f35f3b51729b60b44114e4cfef606441b MD5sum: 5ec9ad9cc37942e2ece219da449b7ff8 Description: Debug symbols for python-sklearn-lib Build-Ids: 064da0f0d69c5e860b66958d4a1057d4f747cdb2 0aaf862e6e13692211df589f553d14058313b17f 0e996deaa46881dd6717159ac8e1703fb3e01b69 12cf549dda7e90e16a1e0db0b2ee1c046d0128b7 12efc6021802cf7eb5e356e6cb82df8beab577f5 1446f2562f6846c20f1c2607a3725d958a01b5e9 16c47cdb571932fb90c31680cce24a75bcc1e3a5 1caea651801c4a48b41e1f9f5b65221f2770e8d4 2b6125a4fd8489762a79754113012ba6957952b2 3027f363d3be09cdf83c4aae424ca861463b4c5c 35c0942b607b5e34b7e3288f70c5df6fdda92028 3ae04a8d46637f43d6501fbf5b5ff5e6d69f88d0 3ccf765d08f42f286a5fd70178680d661519282e 446cf21487340d3c4c15ca407b39f7748a4f944e 496caad0968f4f3cd85ea95239d1760750ecae0d 4bdde01c1cc711f1a9f418874a425b637ac221aa 4c5b0d3e9f5e100eeb395d0144bd80740cba2fba 54745cbe3b247792f0ed4b94170140b589cd9222 5bca818f4543236949f426f1f26e46a350b2ea4e 620ed1df930abe415d1bb863dfe2b51479cf1c93 637f5634606b04798abdaec9593c10a3837303aa 6942137cac4258178da4afa2f8d7ec1068bf4b58 73603c553b0f07f620c955e54d961510477d0641 7cf185460fee86dd0c15b80073c9c4202f9566ec 7f9ce4b4ec0765fc5d024e17bb60203256345787 8b20380262c45879d060304259c454bf2aaa36e2 94bdd945fb1440248b2b86d12345086b3098ab5e af6886874b0a91dc65f52e31ae2398a52ce73a04 b17bc92013aeea1a2f174bac07d6f502a2ef8c34 bc7158545594e223ffc5ca7e5b13882584f7f16a bf4b9bd03f02f1928cf6e4acc90a869a1b667c46 c0e33afeba115e172adb992a38f05ab03c2e1e1a c59742dd5c2998c46aeefa4937a024489b799bbb c60510027105e3ad9e9507a585fee70681786cdf cb855f5688830bc337f9078647fe7a58e2d5f5f8 d741d71b0e30ce67e35b01671204f121c1835045 df46f978f76ac2c476da7b5e0e52b8352f0acfe2 edca049969be0b16a07c20d66821712d54ba6e9c f2b75b931628b83917925bc1c4a79161dd124042 f4566c1903f76f02b144d2d6f18bd81728686931 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-gallery Source: sphinx-gallery Version: 0.2.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-matplotlib, python-pil, python-sphinx Suggests: python-sphinx-gallery-doc, mayavi2, python-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery_0.2.0-1~nd90+1_all.deb Size: 71848 SHA256: 6a6d6a5404eb16935092a5ca23fd14d0cbf28840a4037afe542dec1e088dcd46 SHA1: c19b063d954b998ece9157c29887e27a5c81c3cc MD5sum: 18bb756710514c5fa1a9a69232dfcf14 Description: extension that builds an HTML gallery of examples from Python scripts * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains the Python 2 version of sphinx-gallery. Package: python-sphinx-gallery-doc Source: sphinx-gallery Version: 0.2.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2733 Depends: neurodebian-popularity-contest Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: doc Filename: pool/main/s/sphinx-gallery/python-sphinx-gallery-doc_0.2.0-1~nd90+1_all.deb Size: 1419724 SHA256: 9f7d427182f61539c76493aad0aba75b28239a8358fa98ef5e85324d1f31d812 SHA1: aed713967c75e7940904f77c8090f9d7d3e820cb MD5sum: 8632da2d94d03082ce69d7c17a127e08 Description: extension that builds an HTML gallery of examples from Python scripts (Doc) * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains documentation for sphinx-gallery. Package: python-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1645 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7), libc6 (>= 2.4) 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_i386.deb Size: 228602 SHA256: d0f9059c53221abd18637e5c5c607352fb81bc872c7510f90a27cce7cc102904 SHA1: 65f512b7bbc4b3be87642b99b727b9177d580be7 MD5sum: 08bea2208a5db3211cd50efe8f2ec4fb 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 613 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_i386.deb Size: 334654 SHA256: 23f98d762cf15f15c1ca6223a91f02680d0d44458ebd68f73ccf4e3897634f9b SHA1: bb8784e15a9e7e438dd7677936bcb8621464cd83 MD5sum: 1158e7de977f341b45401007a00c417c Description: Debug symbols for python-statsmodels-lib Auto-Built-Package: debug-symbols Build-Ids: 4134a7165aa44e6f8bd5d085443bb3ab2b751cfe 836cdb4a6f13aee84da45e79166969a48f9aba0a db8061da75d93ede4d121007bcc67abee58d5550 f92ed32e5ec24a91b355c80eba849539b0a7ca7c fb65a45edb9446451c56c8356f15fea687a10bd0 Package: python-stfio Source: stimfit Version: 0.15.8-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1458 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 (>= 2.7), 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_0.15.8-1~nd90+1_i386.deb Size: 507712 SHA256: fa3e2835774b0de6f9307f1a09f136d9ac473e023f272f31daafeae3faf178d5 SHA1: dc43d5f40d6812570dbf617af7b27e713a4b3809 MD5sum: 0624438fb98fbd5f3d1cf8d78d25e430 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1814 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 (>= 2.4), 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_i386.deb Size: 491940 SHA256: aaf231b15d53a721322e7e57085dea4a4a441f9dd20a530903654cabd0774e0e SHA1: 473f5e2369793c3ca67a95debb1fe7fb28f2ceaa MD5sum: c053f12f9c61285993df012aab5bbede 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1478 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), libbz2-1.0, libc6 (>= 2.4), 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_i386.deb Size: 392276 SHA256: bc37aa86ce79c388777f2d0dce7af894066b3a2a73096387e6c7869996107ada SHA1: 6b57da1f4d33c0b624c18e04ce5cd3caa74ff823 MD5sum: 1cc244afe44163deb360d5b9619ab5d4 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: i386 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_i386.deb Size: 162986 SHA256: cd61ccb2be99a6f4e8458950286f5464c52ff1d5ff766930bdb523eb340d83dc SHA1: dc2e3c9a4369b2314be4566dcdc99236a188e1bf MD5sum: 4ddc7402ad42c42f3bc4655a021dca44 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: i386 Bugs: mailto:bugs@neuro.debian.net Maintainer: Debian Python Modules Team Installed-Size: 1787 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 274540 SHA256: 9e3be6e99fd4e7f4f5b922275bd8006b0f6eb0aa3f3a82cd630443f28efcda43 SHA1: 45498a5a5dabf9e1aeeb3f8a86b7958437b6e67b MD5sum: cfbb6e2748cba94f603c535c69b662ad 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1804 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 601338 SHA256: dc4ce579a1f2fe1b569262fab8031653d4396a8d44ab419da89a96e6c47c9f47 SHA1: 2d138944a38e9b34d191e68ec22f72525b5d3926 MD5sum: df120836567be9a6cd3ac6220fdefe05 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 505 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_i386.deb Size: 91382 SHA256: 0b4be0f80b93da58b9ad9fdd429cd213fbf4ea4628255d4b9e56e8dd2cf976bb SHA1: ff7e05429f49cc89e0abe44b918ee007f1082d6f MD5sum: 77e454eec665d6aace333a2cd818be75 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 238 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 60596 SHA256: 7fe33530a84f76d5ba16bf6a1b4a332a528664e656ccd7e17f16929375cd5585 SHA1: f51ec626d58c32bbca820cfb08a38a8ea652f360 MD5sum: e669d191c79e033af3959f00b1ce1339 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 124 Depends: neurodebian-popularity-contest, python-six, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4) Homepage: https://github.com/GrahamDumpleton/wrapt Priority: optional Section: python Filename: pool/main/p/python-wrapt/python-wrapt_1.9.0-4~nd0~nd90+1_i386.deb Size: 32688 SHA256: e14c2242067affa4cbfcc40f7c6d277e2d2571e1e176975812e951af0884bd31 SHA1: 2b97e153fb77176c81cc2c50fc743bf9eedc8dea MD5sum: 1175975e5df027ffbf3d1905322fad62 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 45 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_i386.deb Size: 25020 SHA256: 38256b48eecc9e37f8c1f1f701cb3e8dda324405f3dd6352a1c7ad0ba2712001 SHA1: b9895cfeb67201c64c5a0406b62fa3eaedff531a MD5sum: a3e4ce514e150285a51db6a0eef7b607 Description: Debug symbols for python-wrapt Build-Ids: fe31745123158eb0962014b754eb6a6e2a1a259d 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: python-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 448 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~) Suggests: python-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python-xlwt_1.3.0-2~nd0~nd90+1_all.deb Size: 86080 SHA256: 703cb51343ca4a808444d3f7886d94853b6fdc38694174a1ea5e37383c31fb1a SHA1: 511beeef326c80bf8c8c7665b02312028b257065 MD5sum: 1da715e02b3ede8112a021bf44d9bad9 Description: module for writing Microsoft Excel spreadsheet files - Python 2.7 This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the Python 2.7 module. Package: python-xlwt-doc Source: xlwt Version: 1.3.0-2~nd0~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 257 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Breaks: python-xlwt (<< 1.3.0) Replaces: python-xlwt (<< 1.3.0) Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: doc Filename: pool/main/x/xlwt/python-xlwt-doc_1.3.0-2~nd0~nd90+1_all.deb Size: 57540 SHA256: e0484af968a0462dc9aaa0c734f02fafe2a1519acf5a7bc1a88be3202cb595a5 SHA1: 31b1efc8f6424fe6c64ebb9b9bfd22f4a957800f MD5sum: bf256e4f76c1aaafa0641fed7b690f4e Description: module for writing Microsoft Excel spreadsheet files - doc This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the documentation. Package: python3-annexremote Source: annexremote Version: 1.4.3-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 71 Depends: neurodebian-popularity-contest, python3-future, python3:any (>= 3.3.2-2~) Homepage: https://github.com/Lykos153/AnnexRemote Priority: optional Section: python Filename: pool/main/a/annexremote/python3-annexremote_1.4.3-1~nd90+1_all.deb Size: 13786 SHA256: 965a38dcc54d7a75383266c9133278dc577613238d3bde8297e8d4372249fdfc SHA1: e88d94ba631bfc2d786317acc6318a306c3032a1 MD5sum: 539bf8fca2fbc03899270b2849713d65 Description: abstraction for git-annex special remote implementations Helper module to develop special remotes for git-annex. AnnexRemote handles all the protocol aspects for you, so you can focus on the remote itself. It implements the complete external special remote protocol and fulfils all specifications regarding whitespaces, and order of messages. This is ensured by an extensive test suite. Package: python3-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-babel Source: python-babel Version: 2.6.0+dfsg.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 410 Depends: neurodebian-popularity-contest, python-babel-localedata (= 2.6.0+dfsg.1-1~nd90+1), python3-pkg-resources, python3-tz, python3:any (>= 3.3.2-2~) Homepage: http://babel.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-babel/python3-babel_2.6.0+dfsg.1-1~nd90+1_all.deb Size: 87720 SHA256: 48f324b0ef7430c2b59ed706827c37b1d12a8ae82bef3cf8a4dba11efd008e29 SHA1: 34964e50c4209a97220bf2b6aa1825e7cbf81e31 MD5sum: 120ae2fd4e92a21b81850a4ed2465130 Description: tools for internationalizing Python applications - Python 3.x Babel is composed of two major parts. First tools to build and work with gettext message catalogs. Second a Python interface to the CLDR (Common Locale Data Repository), providing access to various locale display names, localized number and date formatting, etc. . This package provides the Python 3.x module. Package: python3-boto Source: python-boto Version: 2.44.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5140 Depends: neurodebian-popularity-contest, python3-requests, python3:any (>= 3.3.2-2~), python3-six Homepage: https://github.com/boto/boto Priority: optional Section: python Filename: pool/main/p/python-boto/python3-boto_2.44.0-1~nd90+1_all.deb Size: 741080 SHA256: 073c2acc1efb8c3b04365dab53672eb969e4ea6e2483f48dfcf2afadce125f36 SHA1: aa62fbe500a05bfac833f88ecdf4ae451b942253 MD5sum: 748701a20a07780aaf127fea087aa455 Description: Python interface to Amazon's Web Services - Python 3.x Boto is a Python interface to the infrastructure services available from Amazon. . Boto supports the following services: * Elastic Compute Cloud (EC2) * Elastic MapReduce * CloudFront * DynamoDB * SimpleDB * Relational Database Service (RDS) * Identity and Access Management (IAM) * Simple Queue Service (SQS) * CloudWatch * Route53 * Elastic Load Balancing (ELB) * Flexible Payment Service (FPS) * Simple Storage Service (S3) * Glacier * Elastic Block Store (EBS) * and many more... . This package provides the Python 3.x module. Package: python3-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-bz2file Source: python-bz2file Version: 0.98-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/nvawda/bz2file Priority: optional Section: python Filename: pool/main/p/python-bz2file/python3-bz2file_0.98-1~nd90+1_all.deb Size: 7910 SHA256: 277ad0b9fab0ef3f5242b0f603e4f13eea3798b997bab6a3557c579299789aa8 SHA1: 1795237107b16499fdc5d379ebd3dc44c0056de6 MD5sum: 04610162d8597f179b1474c18593cf0f Description: Python3 library for reading and writing bzip2-compressed files Bz2file is a Python library for reading and writing bzip2-compressed files. . It contains a drop-in replacement for the file interface in the standard library's bz2 module, including features from the latest development version of CPython that are not available in older releases. . Bz2file for Python3. Package: python3-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-datalad Source: datalad Version: 0.13.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5321 Depends: neurodebian-popularity-contest, git-annex (>= 7.20190503~) | git-annex-standalone (>= 7.20190503~), patool, p7zip-full, python3-appdirs, python3-annexremote, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-distro, python3-fasteners, python3-gitlab, python3-humanize, python3-iso8601, python3-keyrings.alt | python3-keyring (<= 8), python3-secretstorage, python3-keyring, python3-mock, python3-msgpack, python3-pil, python3-requests (>= 1.2), python3-simplejson, python3-six, python3-tqdm, python3-wrapt, python3-chardet, python3:any Recommends: python3-boto, python3-exif, python3-github, python3-jsmin, python3-html5lib, python3-httpretty, python3-libxmp, python3-lzma, python3-mutagen, python3-nose, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, python3-bs4, python3-numpy, datalad-containers, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.13.7-1~nd90+1_all.deb Size: 1111458 SHA256: 1b29b7197c40e1a0fac9a1ce0984ee996eb2a80310f142647e28c6e76caea9ea SHA1: 04c2612379699fae6c19b3e330a56e3d410af7bd MD5sum: 4a280150f8e018a247225371c2923bf3 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-dcmstack Source: dcmstack Version: 0.8-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 513 Depends: neurodebian-popularity-contest, python3-dicom (>= 0.9.7~), python3-nibabel (>= 2.0~), python3-numpy, python3:any (>= 3.3.2-2~), libjs-sphinxdoc (>= 1.0) Conflicts: python-dcmstack Homepage: https://github.com/moloney/dcmstack Priority: optional Section: science Filename: pool/main/d/dcmstack/python3-dcmstack_0.8-1~nd90+1_all.deb Size: 77930 SHA256: 40b056fbc538740d14d03a5a6c62073c70bc13aa07aa7206f8e907253c92d353 SHA1: 5b25aac8346aad80bf79667783ca09bef16828ca MD5sum: 2a3a6334166f7583214768486fa7cd3c Description: DICOM to NIfTI conversion - python3 package DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file. . This package provides the Python3 package. Package: python3-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-dicom Source: pydicom Version: 1.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python3-pydicom Homepage: https://pydicom.github.io Priority: optional Section: oldlibs Filename: pool/main/p/pydicom/python3-dicom_1.2.1-1~nd90+1_all.deb Size: 4810 SHA256: b6c9778b6f6f9bfec23d4b8d0b7ac910584256b61d3d5725cf8d8060bf6e3caf SHA1: 13d8eeb4beb70f442c60970966c234518d8d3207 MD5sum: fedf77f002235f10e954a13cec5bffd9 Description: transitional package for python3-pydicom This is a transitional package. It can safely be removed. Package: python3-diskcache Source: diskcache Version: 4.0.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 209 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: http://www.grantjenks.com/docs/diskcache/ Priority: optional Section: python Filename: pool/main/d/diskcache/python3-diskcache_4.0.0-1~nd90+1_all.deb Size: 33588 SHA256: 5afbcc905367237b9a53e15a71fe392957adf6aa576fa81ed6dfadada4868568 SHA1: 9aa54a63ed2a54295bfa77dc4ea93dc8256916a6 MD5sum: 48ff3f486ac466a4bd4a6861c0169e13 Description: Python module for Disk and file backed persistent cache DiskCache is an Apache2 licensed disk and file backed cache library, written in pure-Python. Its features include . - Django compatible API - Thread-safe and process-safe - Supports multiple eviction policies (LRU and LFU included) - Keys support “tag” metadata and eviction Package: python3-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: 0.8.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 256 Depends: neurodebian-popularity-contest, python3-citeproc, python3-requests, python3-six, python3:any Homepage: https://github.com/duecredit/duecredit Priority: optional Section: python Filename: pool/main/d/duecredit/python3-duecredit_0.8.0-1~nd90+1_all.deb Size: 58708 SHA256: 1c264ceea48f4323e1dd14447496e75fd7afcbccc458fd8a2de5a50aa3feabe2 SHA1: 8bb81f593d12e07166ce06d016f501e23a9dc3a9 MD5sum: 3a73dbc317a25563e8384c9cc81a84fa Description: Publications (and donations) tracer duecredit is being conceived to address the problem of inadequate citation of scientific software and methods, and limited visibility of donation requests for open-source software. . It provides a simple framework (at the moment for Python only) to embed publication or other references in the original code so they are automatically collected and reported to the user at the necessary level of reference detail, i.e. only references for actually used functionality will be presented back if software provides multiple citeable implementations. . To get a sense of what duecredit is about, simply run or your analysis script with `-m duecredit`, e.g. . python3 -m duecredit examples/example_scipy.py Python-Egg-Name: duecredit Package: python3-exif Source: python-exif Version: 2.1.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 133 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/ianare/exif-py Priority: extra Section: python Filename: pool/main/p/python-exif/python3-exif_2.1.2-1~nd90+1_all.deb Size: 30962 SHA256: c87701cb2e130ba0cc9e5e3b01f68fa20401dfdabf822e9d558034bc352d9782 SHA1: afad89dd667945d3f2e4ee760d9c6f50d6e48c70 MD5sum: 9bfb3f459f768ea95c2ca5ea19c33316 Description: Python library to extract Exif data from TIFF and JPEG files This is a Python library to extract Exif information from digital camera image files. It contains the EXIF.py script and the exifread library. . This package provides the Python 3.x module. Package: python3-fasteners Source: python-fasteners Version: 0.14.1-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, python3-monotonic, python3-six, python3:any Homepage: https://github.com/harlowja/fasteners Priority: optional Section: python Filename: pool/main/p/python-fasteners/python3-fasteners_0.14.1-2~nd90+1_all.deb Size: 15348 SHA256: 438b20463e29aab94b1fd842c7d4b0f8e7d653c2cfcaa74dc3064e31aeb65212 SHA1: 386f010e24e0c6c30c25849bc6435129e9c0e406 MD5sum: 68cdb523ed9583f83725dca8ce35f0fd Description: provides useful locks - Python 3.x Fasteners is a Python package that provides useful locks. It includes locking decorator (that acquires instance objects lock(s), acquires on method entry and releases on method exit), reader-writer locks, inter-process locks and generic lock helpers. . This package contains the Python 3.x module. Package: python3-filelock Source: python-filelock Version: 3.0.12-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Homepage: https://github.com/benediktschmitt/py-filelock Priority: optional Section: python Filename: pool/main/p/python-filelock/python3-filelock_3.0.12-1+nd1~nd90+1_all.deb Size: 8172 SHA256: ab9da227ba0946b026245431736b2dc7f532d013dd0769d85ea30eaf63e1f6bc SHA1: 4ec31ede42a3b970beaae9278631e3a7e1df5855 MD5sum: dc60deb538314c74d3066150dd497b24 Description: platform independent file locking module (Python 3) This package contains a single module, which implements a platform independent file locking mechanism for Python. The lock includes a lock counter and is thread safe. This means, when locking the same lock object twice, it will not block. . This package installs the Python 3 version. Package: python3-fsl Source: fslpy Version: 1.2.2-2~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: 3.0.5-1~nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1679 Depends: neurodebian-popularity-contest, git (>= 1:1.7) | git-core (>= 1:1.5.3.7), python3-gitdb (>= 2), python3:any (>= 3.3.2-2~) Suggests: python-git-doc Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python3-git_3.0.5-1~nd1~nd90+1_all.deb Size: 308218 SHA256: bcd86753d75cecbed5324c7f3b431fe1794d33d443691a74e77e67fc40f53aaa SHA1: 414eeb335a002c23cecec376858550f74ea8171d MD5sum: 8963504814802d1381073409ca5871ee 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: 2.0.6-1~nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest, python3-smmap (>> 2), python3:any (>= 3.3.2-2~) Homepage: https://github.com/gitpython-developers/gitdb Priority: optional Section: python Filename: pool/main/p/python-gitdb/python3-gitdb_2.0.6-1~nd1~nd90+1_all.deb Size: 47060 SHA256: 442e2db3b7a2871a9188beb754af6c7bba60025d8f35e48d837ee742f05da47b SHA1: 4909b7ce9e5825b3b0259905b355912123a2301c MD5sum: cc236cbeda9a872d70fe7cfb7e059b14 Description: pure-Python git object database (Python 3) The GitDB project implements interfaces to allow read and write access to git repositories. In its core lies the db package, which contains all database types necessary to read a complete git repository. These are the LooseObjectDB, the PackedDB and the ReferenceDB which are combined into the GitDB to combine every aspect of the git database. . This package contains the Python 3.x module. Package: python3-gitdb-dbgsym Source: python-gitdb Version: 0.6.4-3~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 63 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_i386.deb Size: 41500 SHA256: e842e4aa176805c1ffd4e71a62a5763841062872593219d7680d90fa784fd802 SHA1: 9d1e89b390dae698a679b1c5170bd0a4324e460f MD5sum: a63231f0ee832e6478b899ebc82f533e Description: Debug symbols for python3-gitdb Auto-Built-Package: debug-symbols Build-Ids: 4bf5f17a11c73ee1e4b79e65c28757e192bc1392 6b4a695a10c7cb2e83a68bcc79956113425b3d4f Package: python3-github Source: pygithub Version: 1.43.7-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 916 Depends: neurodebian-popularity-contest, python3-jwt, python3-requests, python3:any Conflicts: python3-pygithub Replaces: python3-pygithub Homepage: https://pypi.python.org/pypi/PyGithub Priority: optional Section: python Filename: pool/main/p/pygithub/python3-github_1.43.7-1~nd90+1_all.deb Size: 64780 SHA256: 531e057c1e05ea1d3d160c8c19c4cf90ee8ad47f23018abfe7907bf45d2806d2 SHA1: fc8c45def1665dafb2088350cc1c0fd597d6dbc9 MD5sum: 2cedb148375a7ba5fc9eb2bf76e7fc59 Description: Access the full Github API v3 from Python3 This is a Python library to access the Github API v3. With it, you can manage Github resources (repositories, user profiles, organizations, etc.) from Python scripts. . It covers almost the full API and all methods are tested against the real Github site. Package: python3-h5py Source: h5py Version: 2.7.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2783 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-six, python3:any (>= 3.3.2-2~), libc6 (>= 2.4), libhdf5-100 Suggests: python-h5py-doc Homepage: http://www.h5py.org/ Priority: optional Section: python Filename: pool/main/h/h5py/python3-h5py_2.7.1-2~nd90+1_i386.deb Size: 562208 SHA256: 5d2ca3481e3bba67ac85dd54b1368ec192b291647251265d47865f2b5bd11538 SHA1: 6e36871944c14baaa40feddadb0f9356392e5ee7 MD5sum: d7a462d3e08de163a0ec5b53ed9f040f Description: general-purpose Python interface to hdf5 (Python 3) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the modules for Python 3. Package: python3-h5py-dbg Source: h5py Version: 2.7.1-2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11196 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.6), python3-dbg (>= 3.5~), python3-dbg:any (>= 3.3~), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, libc6 (>= 2.4), libhdf5-100, python3-h5py (= 2.7.1-2~nd90+1), python3-numpy-dbg Homepage: http://www.h5py.org/ Priority: extra Section: debug Filename: pool/main/h/h5py/python3-h5py-dbg_2.7.1-2~nd90+1_i386.deb Size: 4204176 SHA256: 1f0a830f3e2f195498ae4f1932f80309d66005005ecbd0d698c3008646d88b68 SHA1: 6affe8f6c5fecc6e226ba2f4fb777a3e5b816184 MD5sum: 0f091d57f317fcfd6227824ae9814763 Description: debug extensions for h5py (Python 3) HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the debug extensions for Python 3. Build-Ids: 1a7aedfb81d4cc4f60d862d8a91465d8af15ba3f 2082f093158bcc41c8b48700b435f3878cb3ff38 2194c8c5204447edb9122f52c5d9171eb7409923 258489a9d76aa2defa8958f53c38263d675dc71a 2d08d30b5d6f857b4a4df4ec3422040bf434f44e 4cefde76a42edb6728e66f2384e6ceb504bd9c7a 599bb9b22f1a7edc3fb69ca1829da4c00e924516 6d35ee5db9d3a52c9929037c00d365d0094a9a53 760bb726a298135f0d0bf2afc45b23821ea73324 787a3f2451f5fc93339031210baf4faed4707262 7a2a6db81b2b4af4b5294913ce5b7c4e347f7dd2 7ed35b442dbf8ec3a5890603348f81dc5f84b50d 82ad4328248a9297987391fef604b3d03367bb42 8db878a302daa5b86efe08c90381ef1c32acff37 9280ed30446df14a1edd64bcd94f5248862f5b3e a144b290cc0493eec9e1e97a4c74e43e55739996 a278a6a3059c9ef74b19485499e72b4950f96045 ab755e30aece5dcd9812177cb8a93eae22345db9 abb01498f7a539d27ce18a970a4a855a48c91730 c940484bdd4efee412eafa02ee507cc4d01301f7 cf25e54d8e16d9189e11f81094b3e4d8269fe1dc e0dbd494022a8e3a0f0abe13dd02335e89406704 Package: python3-hdmf Source: hdmf Version: 1.1.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 391 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py, python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any (>= 3.3.2-2~), python3-certifi, python3-chardet, python3-idna, python3-urllib3 Homepage: https://github.com/hdmf-dev/hdmf Priority: optional Section: python Filename: pool/main/h/hdmf/python3-hdmf_1.1.2-1~nd90+1_all.deb Size: 63636 SHA256: a8cd0b967fd270ebfb2dc268b525897ff2c692a1a5297006d7a79e9d0369e367 SHA1: c4d34d224de477e4294978d6e44a98359f238107 MD5sum: 7ff6088d8c39e12c6f5ec8d03397685b Description: Hierarchical Data Modeling Framework The Hierarchical Data Modeling Framework (HDMF) is a Python package for working with hierarchical data. It provides APIs for specifying data models, reading and writing data to different storage backends, and representing data with Python object. Package: python3-httpretty Source: python-httpretty Version: 0.9.5-6+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, python3-six, python3-urllib3, python3:any Homepage: https://github.com/gabrielfalcao/httpretty Priority: optional Section: python Filename: pool/main/p/python-httpretty/python3-httpretty_0.9.5-6+nd1~nd90+1_all.deb Size: 20278 SHA256: e600c44d93f43d83f7dde57005e01e51b75fcd47746594d5de8c60bc1d559572 SHA1: 54e3d9c5daeac1469d9deef29f69ba74e6ee967b MD5sum: f802ba410cb1c555797848a7bd9a6920 Description: HTTP client mock - Python 3.x Once upon a time a Python developer wanted to use a RESTful API, everything was fine but until the day he needed to test the code that hits the RESTful API: what if the API server is down? What if its content has changed ? . Don't worry, HTTPretty is here for you. . This package provides the Python 3.x module. Package: python3-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: 3.44.1-1~bpo9+1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 650 Depends: neurodebian-popularity-contest, python3-attr, python3-coverage, python3:any (>= 3.3.2-2~) Suggests: python-hypothesis-doc Homepage: https://github.com/DRMacIver/hypothesis Priority: optional Section: python Filename: pool/main/p/python-hypothesis/python3-hypothesis_3.44.1-1~bpo9+1~nd90+1_all.deb Size: 161800 SHA256: fd9c7c9f4e83fb8c2b74ca06102faa9abe655a856d1a0971e63cf0a75789521b SHA1: e1f64dbc4959982e5bad0f3801b66c99a202eeb1 MD5sum: cf3d9cb228ff573a6b37e78cfb88d77c 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: 0.8.6-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1259 Depends: neurodebian-popularity-contest, cython3, python3-numpy, libc6 (>= 2.4), 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_0.8.6-1~nd90+1_i386.deb Size: 321578 SHA256: eea2729c1f33683fd6101964b92f8b27caaf411a4390b813c0245f0fc6998a74 SHA1: 1e7e01a3379d47d9303d0d3deb6ef9e79c0535f8 MD5sum: 8853bce2ca6bf0a2b08f01743358bcbc Description: fast random access of gzip files in Python Drop-in replacement `IndexedGzipFile` for the built-in Python `gzip.GzipFile` class that does not need to start decompressing from the beginning of the file when for every `seek()`. It gets around this performance limitation by building an index, which contains *seek points*, mappings between corresponding locations in the compressed and uncompressed data streams. Each seek point is accompanied by a chunk (32KB) of uncompressed data which is used to initialise the decompression algorithm, allowing to start reading from any seek point. If the index is built with a seek point spacing of 1MB, only 512KB (on average) of data have to be decompressed to read from any location in the file. . This package provides the Python 3 module. Package: python3-indexed-gzip-dbgsym Source: indexed-gzip Version: 0.8.6-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1116 Depends: python3-indexed-gzip (= 0.8.6-1~nd90+1) Homepage: https://github.com/pauldmccarthy/indexed_gzip Priority: extra Section: debug Filename: pool/main/i/indexed-gzip/python3-indexed-gzip-dbgsym_0.8.6-1~nd90+1_i386.deb Size: 1035448 SHA256: f06c2010a6db716dc306f79d13f05dc1bc197740e9157a36e74befbf2b80423c SHA1: ed6e416473162cad5eb796083aef119da91d2412 MD5sum: f42ab5b07ab84abb4dd881b24c42d43e Description: Debug symbols for python3-indexed-gzip Build-Ids: 5ecde08d37877e541d264f4a306224b8ac56fa93 7ee542774fd238f736adf553ba842bd3fda27942 d982f1077b658315a6e5d792ca62845ad2f0c584 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: 0.13.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 870 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), procps Recommends: python3-numpy, python3-pytest, python3-simplejson, python3-psutil Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.13.2-1~nd90+1_all.deb Size: 189690 SHA256: e3ffe97ba788f4e9cb6b48571f7e28bdc0c49f9d2ceeb2d75fa3c52d82f7aee0 SHA1: a2df72a7df52425ecf70fd36ab2e7708e8370c9d MD5sum: a16d58bc05c2841d73d6ecf3df8722ab 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1263 Depends: neurodebian-popularity-contest, python3 (<< 3.5), python3 (>= 3.4~), python3-numpy, python3-pbr, libc6 (>= 2.4) Homepage: https://pythonhosted.org/lda/ Priority: optional Section: python Filename: pool/main/l/lda/python3-lda_1.0.2-9~nd80+1+nd90+1_i386.deb Size: 235712 SHA256: 1ca05888bd0044dbac2a912e991358e8c4e0bb68487705d6cfe0b7884b5e83dc SHA1: f4e43fb885554877062d16668e2d1aa1c0279408 MD5sum: aa5dc0b5ed5caae4572a55ada95103a0 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-libxmp Source: python-xmp-toolkit Version: 2.0.1+git20140309.5437b0a-4~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 146 Depends: neurodebian-popularity-contest, libexempi3, python3-tz, python3:any (>= 3.3.2-2~) Suggests: python-libxmp-doc Homepage: http://python-xmp-toolkit.readthedocs.org/ Priority: optional Section: python Filename: pool/main/p/python-xmp-toolkit/python3-libxmp_2.0.1+git20140309.5437b0a-4~nd90+1_all.deb Size: 24438 SHA256: ef4239ba44b32436451a9a91d48a94f677732843446475e07c3214584d80b509 SHA1: fc1033d84ce218f3214d5d48e87417e92fa5abe8 MD5sum: 44b2e23fce628e572d052b82e7c7f9b0 Description: Python3 library for XMP metadata Python XMP Toolkit is a library for working with XMP metadata, as well as reading/writing XMP metadata stored in many different file formats. . XMP (Extensible Metadata Platform) facilitates embedding metadata in files using a subset of RDF. Most notably XMP supports embedding metadata in PDF and many image formats, though it is designed to support nearly any file type. . This package provides Python3 bindings. Package: python3-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2871 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_i386.deb Size: 421504 SHA256: 2b61d9977308ac3ab3aa850d7ec3e90613ff7c73d8388e851bc5c0aaae5faab2 SHA1: 5ef81bb8ee43c503e06fa017d92a3fecc9474d23 MD5sum: a682828f608b270a43a77800858a6729 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8273 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_i386.deb Size: 1938050 SHA256: 3c0dcec9de32129d6ab06c6f53a1d6c2006d8e1999d91a68f127c51b767e9832 SHA1: 47e9c904babe4d1eb9c559fbc32ebf5608ac1f40 MD5sum: 7249d78254b98edc17018a0e4ef98c0c 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: 0.4.8-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 236 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.3.2-2~), libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1) Homepage: https://pypi.python.org/pypi/msgpack-python/ Priority: optional Section: python Filename: pool/main/m/msgpack-python/python3-msgpack_0.4.8-1~nd90+1_i386.deb Size: 67082 SHA256: c301af8a8f0d62ccfa6efce29679cf8c8fa6086fc43311e2d70af3e06288aca0 SHA1: dfa3c2f5b1655331c24e2df90f200d905db13920 MD5sum: f082b02211196efcc5fe12d905425aa5 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-msgpack-dbgsym Source: msgpack-python Version: 0.4.8-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 212 Depends: python3-msgpack (= 0.4.8-1~nd90+1) Homepage: https://pypi.python.org/pypi/msgpack-python/ Priority: extra Section: debug Filename: pool/main/m/msgpack-python/python3-msgpack-dbgsym_0.4.8-1~nd90+1_i386.deb Size: 172904 SHA256: db1477dc22c14577890e380b20ca99a43e2bc78f95f2708c305f64b4cbfbadb7 SHA1: 35c8128ddd1f20941dd33b8a69bed3abe687fef0 MD5sum: 5e4ad7768ce8ffefa017ec67eaf96433 Description: Debug symbols for python3-msgpack Build-Ids: 982712951cc0cfe78428e453c9492554bafb7df7 aa5b6473964a453ab4798ae5a8c39efff1ce6734 Package: python3-mutagen Source: mutagen Version: 1.38-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 654 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python-mutagen-doc Homepage: https://github.com/quodlibet/mutagen Priority: optional Section: python Filename: pool/main/m/mutagen/python3-mutagen_1.38-1+nd1~nd90+1_all.deb Size: 132040 SHA256: 8a86ceb4213f59d207bb06348f7f3a67f4f229fb196578e116d4d697c298589c SHA1: 87159aa0c5b3ffe36249db71769651a398ca2f0b MD5sum: 6645d5a50cc702881de9cabdf94ad721 Description: audio metadata editing library (Python 3) Mutagen is a Python module to handle audio metadata. It supports FLAC, M4A, MP3, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, and WavPack audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level. . This package is built for Python 3. Package: python3-nibabel Source: nibabel Version: 2.5.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 65838 Depends: neurodebian-popularity-contest, python3-bz2file, python3-numpy (>= 1.2), python3-six (>= 1.3), python3:any (>= 3.3.2-2~), python3-scipy Recommends: python3-dicom, python3-fuse Suggests: python-nibabel-doc, python3-mock Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.5.1-1~nd90+1_all.deb Size: 2663286 SHA256: 985b761e188a769cd60674fac7d1bf5cbfe35b289c0ce8719480e2286b6ff221 SHA1: e280092bfea99820f9f9cb11e6871d57e866d8d6 MD5sum: 1975bd6f987cefa4328dda16407448f4 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 467 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 (>= 2.4), libgcc1 (>= 1:4.2), libstdc++6 (>= 4.1.1), python3-pkg-resources Homepage: https://github.com/pydata/numexpr Priority: optional Section: python Filename: pool/main/n/numexpr/python3-numexpr_2.6.2-1~nd90+1_i386.deb Size: 124252 SHA256: 61f92ee409a3862badc5cdf9cc9874bf9eb5f8763d888c0a0e8819a9b58c7104 SHA1: b0a50d3af0a195cf08a8a0353e6701fc95ce475e MD5sum: b7118dde83442405400e6845d5c72379 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 346 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 (>= 2.4), libgcc1 (>= 1:4.2), 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_i386.deb Size: 98776 SHA256: c1b5da16e1f8ef7e409f313dca6f19e1bff2eae0552127cb12b695b697ba3035 SHA1: 7775d72604b3a3338e7e6c7578a311880817d243 MD5sum: 1af63baaf1d475de5a23f57bf56bddcb 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 254 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_i386.deb Size: 225566 SHA256: 22589ae8797ca9f775c87a09d3ee8cfd2d344cd41db31c4ff6b4b5a226ee7586 SHA1: 5dd9ef41030b6d36c803df3259fddaf27d784971 MD5sum: 81e5d79c3fda0599f07b561596d7b5d6 Description: Debug symbols for python3-numexpr-dbg Auto-Built-Package: debug-symbols Build-Ids: f5da05c6e57105ee5709e041314944fc1404a1ff Package: python3-numexpr-dbgsym Source: numexpr Version: 2.6.2-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 247 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_i386.deb Size: 219296 SHA256: 84a03c8d40ef8c2eee8576a3afcba23644b629e8b90119f5cb35b92eefc42fdf SHA1: d1c3c669602a61f4c59a5bb6de2327c1acdcab07 MD5sum: d84726db26e8b21494ffd3b4d5174459 Description: Debug symbols for python3-numexpr Build-Ids: 1198a6a2e6f585589bd99018c37212cb03ae086e 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13732 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 2459910 SHA256: 790dd00d56aea9e01d8c55d59f716294c7b2e8d7d600f8e2007c7fa502986bd0 SHA1: d5999204979d8d2cd58291961aa8e3cb7a55a146 MD5sum: e5ef876af83323c7545ec9dd10ebede8 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12936 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_i386.deb Size: 11842872 SHA256: b3c66c3ca7e0947c8b0824daa04cd3520e5f4d5d9659816150a3de63df782f1d SHA1: 585d5edd5b347d13f0b7f4bfe07262d910e79287 MD5sum: 6ccfad22f77d147b56e85a47e8bf1ceb Description: Debug symbols for python3-pandas-lib Build-Ids: 0a5bf19dabb43b5fe81a4f06e10721b53d49a437 165ea003a61b2435bdd21b5bd1065f822ff62209 267cb979ca450a00494cf0293215f4a00d128456 38c8606c0a9f3c02827134124fec455014672e62 3a144e3cb5644d5c16516ae3da9ec4604c5e9bb7 3b6c1074d4626c5a6e3a775e01b8af98973dc7ed 4536e5a5bdf543ad68251ecdf434db32b89c6175 514cddd010d5dfdfb06349a278cff7ad64080963 517e166c6efa21837e4261d21e931c18aeb07c29 584fed960f12a03028e78c50de29cc18612518c2 5af35668652cccffb0a6dc6ca513bd48acf78d20 6c566d056daced53335113df1ffe35cd859d30fe 75c870bd7ae2e9eb2c5d0da53f0f3a0cfd76ddd3 80c20b1286358e1700a5184c1ba99af05b3fd848 909e024b579dcc8eedb5e08c27d63cdad5668a6b 92fec33952b0556e2ab98b2e02c62c4d413dfacf 971c45bce765c082497f45fcdcf2f11f775773fb 9e5c8652b26c602ec51f99861d986b76215010c7 9ebd74b1e032215bce8a4bd8b7e4dc37f55f586d 9edd8d4c74b4f9573798e8b4667d2ec624db7aa8 a6ab5caccee0c10228571f0c03829501a3c0c36d a711dd870f7488f5287735939b21011055f1ba72 b2472e14754f89596192be4734c3c5131c773c2d b349efb730fc538486ff198f5aafdb851ac49442 b8c5b701129ec8a6d34754a4fda0499045715a4f cdedcb24ef25676deacd9d8f818474990625c040 e32427543bc92345509dae93290d76774749ab54 Package: python3-patsy Source: patsy Version: 0.5.0+git13-g54dcf7b-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 783 Depends: neurodebian-popularity-contest, python3-numpy, python3-six, python3:any (>= 3.3.2-2~) Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.5.0+git13-g54dcf7b-1~nd90+1_all.deb Size: 171840 SHA256: c64c54a588b25b830b6b383f68b69651a67ef9613fabc9df3c58706c2f8b8072 SHA1: a3c9c78d7b0a174aaf7221a83270a8f4aaed6c76 MD5sum: f9f619d816e4b827677e8bd5bad7ae57 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 257 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_i386.deb Size: 60258 SHA256: bbbc3d8e84c16bded67040c5a9e268951e2cc72d1255b0820030deb7e2993f56 SHA1: ba7e85acbee5203d028ba0a80292cfc51d56915b MD5sum: 17bf9a6049dc77f7d73699543fc7c047 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-pydicom Source: pydicom Version: 1.2.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14179 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-pil Suggests: python3-matplotlib, python3-gdcm Breaks: python3-dicom (<< 1~) Replaces: python3-dicom (<< 1~) Provides: python3-dicom Homepage: https://pydicom.github.io Priority: optional Section: python Filename: pool/main/p/pydicom/python3-pydicom_1.2.1-1~nd90+1_all.deb Size: 4397436 SHA256: 53d525824b2399faf8fb91254a264e9b8905c97ab7396afee0706d6565dd7b0e SHA1: 9759b6e7d76e2ce80f0c87b71b67333cc20a1ac2 MD5sum: 4054c9da78d264681796b223abff3072 Description: DICOM medical file reading and writing (Python 3) pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. . This package installs the module for Python 3. Package: python3-pydot Source: pydot Version: 1.2.3-1.1~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-pyfakefs Source: python-pyfakefs Version: 4.3.3-1+nd1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 991 Depends: neurodebian-popularity-contest, python3:any Homepage: http://pyfakefs.org/ Priority: optional Section: python Filename: pool/main/p/python-pyfakefs/python3-pyfakefs_4.3.3-1+nd1~nd90+1_all.deb Size: 130308 SHA256: a7b23ac8b435d82f117af87855a51e44062287547c69d25eab70c7d8cbced6d0 SHA1: 500c30653dc3f17e8b4589b2d2e3ddd27d0650e0 MD5sum: f6358652aa4f28ec0fb32737067f382f Description: fake fs that mocks the Python file system modules - Python 3 pyfakefs implements a fake file system that mocks the Python file system modules. Using pyfakefs, your tests operate on a fake file system in memory without touching the real disk. The software under test requires no modification to work with pyfakefs. . This package contains the Python 3.x module. Package: python3-pygraphviz Source: python-pygraphviz Version: 1.3.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 386 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3:any (>= 3.3.2-2~), libc6 (>= 2.4), 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_i386.deb Size: 74830 SHA256: 4a95bd22c4421ba24a704f71cd6bade3126bd87131ee9d8ca86471aae6145101 SHA1: 3d2ab90b1507f08d979db8ab2314bec5d49af551 MD5sum: ef645c959c92570b0b01f3eb71abf382 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 244 Depends: neurodebian-popularity-contest, python3-pygraphviz (= 1.3.1-1~nd90+1), python3-dbg, libc6 (>= 2.4), 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_i386.deb Size: 103270 SHA256: 4e502290545c45cacafcf3c501c218f1afd36a667f7c21b253c795d1d6ccfed2 SHA1: 0df45d24f52153e791e5f39b00014ec5e4c626e9 MD5sum: 721dfcf26d15e54cbeee303004d40bfe 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: 927eeac2540acf2d8de023021cb2b7766e3cba38 Package: python3-pynwb Source: pynwb Version: 0.5.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 687 Depends: neurodebian-popularity-contest, python3-dateutil, python3-h5py (>= 2.7.1), python3-numpy, python3-pandas, python3-requests, python3-ruamel.yaml, python3-six, python3:any (>= 3.3.2-2~) Homepage: https://github.com/NeurodataWithoutBorders/pynwb Priority: optional Section: python Filename: pool/main/p/pynwb/python3-pynwb_0.5.1-1~nd90+1_all.deb Size: 98348 SHA256: 96053951f98be4bdb1263bb1330536da991e9e03af5f65344744d3f3940014e5 SHA1: 2aa36308f2a2e3d12f2d053b3885502f19fe9157 MD5sum: a370167ceb86b2660ffc6b8385773300 Description: Python library for working with Neurodata in the NWB format PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format. . Neurodata Without Borders: Neurophysiology (NWB:N) is a project to develop a unified data format for cellular-based neurophysiology data, focused on the dynamics of groups of neurons measured under a large range of experimental conditions. Package: python3-pyperclip Source: python-pyperclip Version: 1.6.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 42 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~), xclip | xsel | python3-gi | python3-pyqt4 Homepage: https://github.com/asweigart/pyperclip Priority: optional Section: python Filename: pool/main/p/python-pyperclip/python3-pyperclip_1.6.0-2~nd90+1_all.deb Size: 9528 SHA256: dd277b4408ae46a0fffef0a148edc08874d8af213c4cde2133d7f1980f9232de SHA1: 010c7d2c1431b8cb2c9cf1272649606326d42a5c MD5sum: e582f0ad2d7fd17f1d1c0a1ff0040a35 Description: Cross-platform clipboard module for Python3 This module is a cross-platform Python3 module for copy and paste clipboard functions. . It currently only handles plaintext. . This is the Python 3 version of the package. Package: python3-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-pyxid Source: pyxid Version: 1.0-4~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 50 Depends: neurodebian-popularity-contest, python3-serial, python3:any, python3 Homepage: https://github.com/cedrus-opensource/pyxid Priority: optional Section: python Filename: pool/main/p/pyxid/python3-pyxid_1.0-4~nd90+1_all.deb Size: 10882 SHA256: 632f96ae741a5fd901bd90177ec2a95db5d949207a15abe5eb6b780b91d77070 SHA1: 7ea784e441ef62cd2f4a0c03b6e685f02beb657e MD5sum: 7560542516a20fe3c565e28b043863ba Description: interface for Cedrus XID and StimTracker devices pyxid is a Python library for interfacing with Cedrus XID (eXperiment Interface Device) and StimTracker devices. XID devices are used in software such as SuperLab, Presentation, and ePrime for receiving input as part of stimulus/response testing experiments. . pyxid handles all of the low level device handling for XID devices in Python projects. Package: python3-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-reprozip Source: reprozip Version: 1.0.14-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 167 Depends: neurodebian-popularity-contest, python3 (<< 3.6), python3 (>= 3.5~), python3-requests, python3-rpaths, python3-usagestats, python3-yaml, python3:any (>= 3.3.2-2~), libc6 (>= 2.7), libsqlite3-0 (>= 3.5.9) Multi-Arch: same Homepage: https://www.reprozip.org Priority: optional Section: python Filename: pool/main/r/reprozip/python3-reprozip_1.0.14-1~nd90+1_i386.deb Size: 46222 SHA256: ab2aaa19e9b225a08be8d257632e4a3eda1e179769f3096f520d804f93a450ed SHA1: ed942876cbdfa1ea5ec04aaa61720db241313213 MD5sum: 9c8ceaed08d0181726e981780bc84392 Description: modules for the ReproZip packer ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. . It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author’s computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step). . This package provides the modules for Python 3. Package: python3-reprozip-dbg Source: reprozip Version: 1.0.14-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 202 Depends: neurodebian-popularity-contest, python3-dbg (<< 3.6), python3-dbg (>= 3.5~), python3-dbg:any (>= 3.3~), libc6 (>= 2.7), libsqlite3-0 (>= 3.5.9), python3-reprozip (= 1.0.14-1~nd90+1) Multi-Arch: same Homepage: https://www.reprozip.org Priority: optional Section: debug Filename: pool/main/r/reprozip/python3-reprozip-dbg_1.0.14-1~nd90+1_i386.deb Size: 98644 SHA256: 688a9b1de626bfeb756f66787c2836ea2020dd11a4a96e638248592d09b51794 SHA1: c47d101d30ebce8bd4df0b4ed85dae46c0fca15d MD5sum: 43293d95d8897d60f4c94429f99b9317 Description: debug extensions for the ReproZip packer ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. . It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author’s computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step). . This package provides the debug extensions for Python 3. Build-Ids: f889367c2102c7f091d9f94b937971f88dd3ed60 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: 0.19.2-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7023 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-sklearn-lib (>= 0.19.2-1~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_0.19.2-1~nd90+1_all.deb Size: 1457326 SHA256: b29a70b3f7260bcdc0d405120bfb1ec46ae1dc1b99fd76bcf7068be233f02b78 SHA1: 1595d5a5f65f6e531fd877ad16cd70be892e25d4 MD5sum: f10f8554d13b2a53675b770467d44251 Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) . This package contains the Python 3 version. Package: python3-sklearn-lib Source: scikit-learn Version: 0.19.2-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6242 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_0.19.2-1~nd90+1_i386.deb Size: 1277430 SHA256: d98070434157d6213c338532efc23879fc0340e10fb2c3b4445f635936cb493f SHA1: 696f85b5ce2cb2f5b9bfb606557e69686814736e MD5sum: bbf5f69fdacc638f3e7f94828fb6d05b Description: low-level implementations and bindings for scikit-learn - Python 3 This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. . This package contains the Python 3 version. Package: python3-sklearn-lib-dbgsym Source: scikit-learn Version: 0.19.2-1~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6446 Depends: python3-sklearn-lib (= 0.19.2-1~nd90+1) Homepage: http://scikit-learn.sourceforge.net Priority: extra Section: debug Filename: pool/main/s/scikit-learn/python3-sklearn-lib-dbgsym_0.19.2-1~nd90+1_i386.deb Size: 5651114 SHA256: f5714c4b1555dd0c0d97a64ea423ec0ead0564d0eef7c22cdc3a6438f1717607 SHA1: 1631a93b08e0cc9471e597b2afc08a03ebb04300 MD5sum: c76a2ec0c924d9e4d6cf5fba289966de Description: Debug symbols for python3-sklearn-lib Build-Ids: 0622e881408e2db237e3693cf3a42aa278bc8f4c 0f5753f499a48249ca84c9131a9296991898ce0f 2f995ba9f2289ca16175ca5212c4a3af1df62fde 398b2ca6c727f1b669841b85dd1768ea34541794 3acd12b1eb5bbfb373294fafc5a74b9382272785 4905130aab1742d7de2a337b25aa97ee8f5314c1 50d60ab92e6cd9c4a282b9106d191b2f4f10231c 52832e52b366adb71ee45b83e126ce17eff238ba 536acd9a57e4639fe10c0ebc55cab0416414e040 58ebe6fa27aee6a44ff86c432b87e197743cf0a5 5b2eaf2c3e3f5aec71ba2c163b496a0852ddec46 5de51f6a5329a8adaa0f45c4e815a12a74fb1ff2 5f9c3cb6927aa75faa3deab29ab3aa4a6d7a3c36 66102c1f40c37b77566486ede507a633571d56fb 6619c8f9e86e129cc82c9c42831b993354a58c81 6bdf761c14cae30a299d15680e1c7198c03a5024 6dc55914b61cda5db24be12f7b882ac8ea53145e 76f0956c7cb04e72b8eed5fc6b322c77d8c9092c 7990d3eccfe3e2ffd4a38e0769fc7f8504f70682 88ea26a0635fc0a2364f9062dd8dedcf58756c32 8e97d9a6d77b862455cac8af76359c6a73821046 91866e8c597604c0b4b2bc3efba6d65b4532a90e 9648b80236c99d012f53db257546eab08f03c8d0 967ff07b183d327d944b188bf3d8021243450291 9e24f31f8d08a51b0faa78f4cb9630acda5d7671 9ff23a1511d20f4092df2f0f9922077ff87f5381 a44804e150a712d2b188af18233147e0e99602c7 aea1ed3ce5fbd151c8f9b95ef97586e7567af961 bbfa56d566718e04d5b3b76e8bcf94deff5d5650 bc3e2c044d231c9c2190e72995cfe9d931b621cb bf5b9b763e0d7e241a315c9d8072575ed53fcb5c c098bd8d6e9f7b35d0af5b06acf34d5f634a4943 c18685fa75ed304ffb3a24ce28b9a00904e44cf0 ce48b3ee9576cf79edcad3994a7b2b74115011f0 d25711ee8de7852488cd8c2bf1b7589554828762 d79a747ad1404de7d59cd8586883fab7cf1b3c6a e05cb461ffaf7466ebdaa6d9ad36122d6423ef35 e557a997e1774b2005b4f6a955c08d3a400f2cca ef339a8cda42e4c1410c92ed34ef4443acc6fae3 fe0bfe372075a81fe43ec24602531fbab21cddde 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-gallery Source: sphinx-gallery Version: 0.2.0-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 217 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-matplotlib, python3-pil, python3-sphinx Suggests: python-sphinx-gallery-doc, python3-seaborn Homepage: https://sphinx-gallery.github.io/ Priority: optional Section: python Filename: pool/main/s/sphinx-gallery/python3-sphinx-gallery_0.2.0-1~nd90+1_all.deb Size: 71932 SHA256: 58d7f4df337ca596b8551ba45fc223f9113a6ea96ee390afb72b4202d71ef741 SHA1: 20a1dae1e72d1a76cd04a1bf1bfbb6f450d73b89 MD5sum: fa6b466a67ee671c76825a6f8bd2d479 Description: extension that builds an HTML gallery of examples from Python scripts (Python 3) * Simple examples that run out of the box are the best way to learn a library * Pleasing, organized, visual layouts * Links, searching, backlinks throughout examples and documentation . This package contains the Python 3 version of sphinx-gallery. Package: python3-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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1775 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 (>= 2.4), 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_i386.deb Size: 482536 SHA256: c59f8795c030120fa3273440808b4faf2c51a56e4efbae6867bb8fa48719814b SHA1: 53190a1313f11717036f3b1ed1c3e47e1d4596b0 MD5sum: ecd6db30611c4d630062702e3c89bfec 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1430 Depends: neurodebian-popularity-contest, python3-numpy (>= 1:1.8.0), python3-numpy-abi9, python3 (<< 3.5), python3 (>= 3.4~), libbz2-1.0, libc6 (>= 2.4), 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_i386.deb Size: 380898 SHA256: 9c2179c5f6cdbe849127ae3a68677b9b57365e295190099677604fba013edf2f SHA1: 9669791255160ac690eb619559bb36762230f008 MD5sum: 8134c4fc850714c57ba56ad0f416fe3c 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 124 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_i386.deb Size: 32714 SHA256: 58c18517d8d83e3f7c2e15b6cac7894c6803c8fdf164db94ccfdd20c920bbcda SHA1: 4f6ba92f15facba0e59f1347cae8b4a285c8159f MD5sum: 6fb717d0fb33f1e3d33ae9f5145e6ca7 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 47 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_i386.deb Size: 27416 SHA256: 99e1bbb87cca1995a1f4b5954d047a2ee497ef986b4286475c813068dbf20ffa SHA1: b6295672e6aae91f6fe1234381c5648ce3eba6ba MD5sum: ec91b77b5df3b76552f146551b165e75 Description: Debug symbols for python3-wrapt Build-Ids: 6a79446ee8f3080018fd4db2bc87b552702c4263 Package: python3-xlwt Source: xlwt Version: 1.3.0-2~nd0~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 448 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Suggests: python3-xlrd, python-xlrt-doc Homepage: https://pypi.python.org/pypi/xlwt Priority: optional Section: python Filename: pool/main/x/xlwt/python3-xlwt_1.3.0-2~nd0~nd90+1_all.deb Size: 86166 SHA256: b258f9ec8fdd13285b32a2be6c5732d899b95c685e94574b7198421ae7a159ba SHA1: 603bbbce5738362cfc784ab0766633cbadf9efec MD5sum: e4922f4782068ef5dba7f9563583f852 Description: module for writing Microsoft Excel spreadsheet files - Python 3.x This package provides a pure Python module for writing spreadsheet files readable by Excel 97/2000/XP/2003, OpenOffice.org Calc, and Gnumeric. Excel spreadsheets can be generated on any platform without needing Excel or a COM server. . Xlwt is a fork of the unmaintained pyExcelerator module with several bugfixes and enhancements. For the functionality previously provided by the parse_xls function, see the python-xlrd package. . This package provides the Python 3.x module. Package: qnifti2dicom Source: nifti2dicom Version: 0.4.9-1~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3287 Depends: neurodebian-popularity-contest, libc6 (>= 2.4), 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_i386.deb Size: 488476 SHA256: a272a7bdeb3c4db16bd6bb333776e0dcf0a9e5c57809105b898826bd12192ed6 SHA1: 0ab44bd2baafa6fdaae7f4966e6055af9dad56c4 MD5sum: a4a6ee394a6c27d202d4cac1d48f28e8 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: 1.41-1~ndall0 Architecture: i386 Maintainer: Debian Go Packaging Team Installed-Size: 16874 Depends: libc6 (>= 2.3.6-6~) Built-Using: go-md2man (= 1.0.8+ds-1), golang-1.10 (= 1.10.3-1), golang-bazil-fuse (= 0.0~git20160811.0.371fbbd-2), golang-github-a8m-tree (= 0.0~git20171213.cf42b1e-1), golang-github-abbot-go-http-auth (= 0.0~git20150714.0.46b9627-2), golang-github-aws-aws-sdk-go (= 1.12.79+dfsg-1), golang-github-azure-azure-sdk-for-go (= 10.3.0~beta-1), golang-github-azure-go-autorest (= 8.3.1-1), golang-github-coreos-bbolt (= 1.3.1-coreos.5-1), golang-github-davecgh-go-spew (= 1.1.0-4), golang-github-dgrijalva-jwt-go-v3 (= 3.1.0-2), golang-github-djherbis-times (= 1.0.1+git20170215.d25002f-1), golang-github-dropbox-dropbox-sdk-go-unofficial (= 4.1.0-1), golang-github-go-ini-ini (= 1.32.0-2), golang-github-google-go-querystring (= 0.0~git20170111.0.53e6ce1-4), golang-github-jlaffaye-ftp (= 0.0~git20170707.0.a05056b-1), golang-github-jmespath-go-jmespath (= 0.2.2-2), golang-github-kardianos-osext (= 0.0~git20170510.0.ae77be6-5), golang-github-kr-fs (= 0.0~git20131111.0.2788f0d-2), golang-github-mattn-go-runewidth (= 0.0.2+git20170510.3.97311d9-1), golang-github-ncw-go-acd (= 0.0~git20171120.887eb06-1), golang-github-unknwon-goconfig (= 0.0~git20160828.0.5aa4f8c-3), golang-github-vividcortex-ewma (= 0.0~git20160822.20.c595cd8-3), golang-google-cloud (= 0.9.0-5), golang-goprotobuf (= 0.0~git20170808.0.1909bc2-2) Homepage: https://github.com/ncw/rclone Priority: optional Section: net Filename: pool/main/r/rclone/rclone_1.41-1~ndall0_i386.deb Size: 4618876 SHA256: f3d9fca60ef0cfd3221be8ef088af8a9fc3a2a2c99955034fe6b29a9e18eb42e SHA1: 50b47feb7ce2f1441e1a5cef84f91ef20d1e104f MD5sum: 8c73c00b1e80467960cb535af6d6e58f Description: rsync for commercial cloud storage Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers: . - Google Drive - Amazon S3 - Openstack Swift / Rackspace cloud files / Memset Memstore - Dropbox - Google Cloud Storage - Amazon Drive - Microsoft One Drive - Hubic - Backblaze B2 - Yandex Disk Package: remake Version: 4.1+dbg1.3~dfsg.1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 350 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_i386.deb Size: 164722 SHA256: dbfd810c8caa83ddaae6926893a985b92fb128e2f2fa90f115ccd0873fc99fce SHA1: 29ba32c6930660d536b7854d26a96614dc35cc95 MD5sum: 706bdce3bca65f06f2d7b9fa9f92ccd7 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 317 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_i386.deb Size: 284640 SHA256: 149eeb7c5ae09621d77b71ee011d14f42083a47a8e1642d8929c35f1d58b35c3 SHA1: 2e1dde2c09ca622d8d52cfb84c8a6e01bcacdb35 MD5sum: 9f7d53997ab63cd556690e8da5cf2ded Description: Debug symbols for remake Build-Ids: 1aca6bd61ef008f981f8b75a42897e287fad2f0f Package: reprozip Version: 1.0.14-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14 Depends: neurodebian-popularity-contest, python3:any (>= 3.3~), python3-reprozip Multi-Arch: foreign Homepage: https://www.reprozip.org Priority: optional Section: utils Filename: pool/main/r/reprozip/reprozip_1.0.14-1~nd90+1_all.deb Size: 3548 SHA256: c64d7bc0993474af6ea987f7d642b14fd488bcf42c5e6d4ed0b5b78bac412fb9 SHA1: a68785bab1a8daad1a07904f536521a4d06f7713 MD5sum: d8345993b2bdb221201274ad96df60de Description: tool for reproducing scientific experiments (packer) ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. . It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author’s computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step). . This package provides the ReproZip packer. Package: ruby-asciidoctor Source: asciidoctor Version: 1.5.7.1-1~nd~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 817 Depends: neurodebian-popularity-contest, ruby | ruby-interpreter Breaks: asciidoctor (<< 1.5.6.2-1) Replaces: asciidoctor (<< 1.5.6.2-1) Homepage: http://asciidoctor.org Priority: optional Section: ruby Filename: pool/main/a/asciidoctor/ruby-asciidoctor_1.5.7.1-1~nd~nd90+1_all.deb Size: 183780 SHA256: 01aa60316a2daa844a2af5990de75d6ca9e41d6a2ca72d0ed325156ba9b2d916 SHA1: 31c0f41adb8b665c45cf96c0a9113df6e06885dc MD5sum: 52b034393637390366ae39ffa09f8e9d Description: AsciiDoc to HTML rendering for Ruby (core libraries) Asciidoctor is a pure Ruby processor for converting AsciiDoc source files and strings into HTML 5, DocBook 4.5, DocBook 5.0 and other formats. . This package contains the library files used by the asciidoctor package. Ruby-Versions: all Package: s3cmd Version: 2.1.0-2~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 491 Depends: neurodebian-popularity-contest, python3-dateutil, python3-magic, python3:any Homepage: https://s3tools.org/s3cmd Priority: optional Section: utils Filename: pool/main/s/s3cmd/s3cmd_2.1.0-2~nd90+1_all.deb Size: 115744 SHA256: 6b89918019c782d2fe28abc58232aaef022e2610cb974637e86724d30b80e179 SHA1: 4ce92222c21fb43c6b5012cee73e041dde4ec38c MD5sum: 5f595ee8c63fdab14577e1366843e8a2 Description: command-line Amazon S3 client Command-line tool to upload, retrieve and manage data in Amazon S3 service (http://www.amazon.com/s3/), designed for use in scripts. Features: - creating and destroying S3 buckets - uploading and downloading files - listing remote files - removing remote files - synchronizing local directories to S3 buckets - getting various information about buckets and disk usage . s3cmd supports both (US and EU) S3 datacentres. Package: sigviewer Version: 0.5.1+svn556-3~nd80+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 956 Depends: neurodebian-popularity-contest, libbiosig1, libc6 (>= 2.3.6-6~), 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_i386.deb Size: 339084 SHA256: 3be394d463d604d2c9cc9dfe928ed395365633c8510c60acae4cc533bb898928 SHA1: eddd03a697dee43d31def1b12e944c3e31869abb MD5sum: 901d38db2c901206cb3c021b0bedf1c7 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: 2.6.1-2+nd2~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2537 Depends: neurodebian-popularity-contest, python, squashfs-tools, ca-certificates, 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_2.6.1-2+nd2~nd90+1_i386.deb Size: 331392 SHA256: 80522e36be95949c54fea261f1e8c2fe619b832475187b156e9d924a9f4f485b SHA1: 4321536f113b08eccf2e64f0571e72e35daba353 MD5sum: 7cbcc297a96328f1695d7ce8d4848da5 Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container-dbgsym Source: singularity-container Version: 2.6.1-2+nd2~nd90+1 Auto-Built-Package: debug-symbols Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 953 Depends: singularity-container (= 2.6.1-2+nd2~nd90+1) Priority: optional Section: debug Filename: pool/main/s/singularity-container/singularity-container-dbgsym_2.6.1-2+nd2~nd90+1_i386.deb Size: 750338 SHA256: 9909f6518e0c562e5ec94048686d2db20b590f5a50c44ee8079ffd2981cf1e18 SHA1: 55d486a8e79a0dc1069c58f660e20a3fa41fc67a MD5sum: 8d58088b6504e0d334441abfed7eb7bd Description: debug symbols for singularity-container Build-Ids: 001a9e5880157d0af00d7eba537795814456ff50 060111189e8e7a1502cf5553757f199ab0b25f47 1335b368cf0bea75f6088e5d18700b4c61295ff0 14171ef287f9952079c0656970e69a346aa72575 2554d2a0e7891634bd74c9a3142eb945cf89d8bd 36b06a8e3fbd7b4721fb3e386de5882f617ca713 3e10be109498edae72bdaf6767ecc2d50f78de73 706dfa3371b31cf47e305ea1f38d525e4affc7cf 7620aa286e9944e2919648bfc516927f80d43ffd 80bf1769104e280675b0fad84ed5ffc4cbffd5b4 97a2a3ee59593fc6cd7c575a63411fcac0091255 d8bf8fdbe22b21676e13206a99407c1c0c7ace55 e0b2e7b56c40bd1ffebb23dac65ab9fc555deb90 e2f08e281804d28f87467bdc32c16f21f4c561f5 f91406bd0eb6b2361f8fcc732d3361fc884cf67e 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: 0.15.8-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3140 Depends: neurodebian-popularity-contest, libblas3 | libblas.so.3, libc6 (>= 2.7), 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_0.15.8-1~nd90+1_i386.deb Size: 956398 SHA256: d6eabf38b522fcdad78e4490dad94b3b99ea1ac5286e800eb86393890a0d38ca SHA1: 370ca160553c2fc914921f4b95da2b5efcbe9820 MD5sum: cd625a51fa9b5a934a8f24c17748bd41 Description: Program for viewing and analyzing electrophysiological data Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. Package: stimfit-dbg Source: stimfit Version: 0.15.8-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8043 Depends: neurodebian-popularity-contest, stimfit Recommends: python-matplotlib, python-scipy, python-stfio Homepage: http://www.stimfit.org Priority: extra Section: debug Filename: pool/main/s/stimfit/stimfit-dbg_0.15.8-1~nd90+1_i386.deb Size: 7868518 SHA256: 7324f1f4e71ec7d00c5db5b85739dc399ff1a23691b8313384b3eceab5c3969c SHA1: 7cdbbeed2d3289381b88d04ba616fb34e485923b MD5sum: f1d2dca2c8f46664664751eb17450ed5 Description: Debug symbols for stimfit Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. This package contains the debug symbols for Stimfit. Build-Ids: 6c0c76e546a2a0406a847d750e43315fdc850811 9037da720375738b4fae2d50fc2a13bdfbcbfbd5 946f0ff21bcd6a8ad6d361b1af7c139b9e1a32e0 9a2849c3b0caa06fc1695a4643ccd9bddb446038 a6b986e64b5173965b6bacfb3376219a52b38a4a b111757b5f655979c0e4f6ec5b74756153a6118f Package: svgtune Version: 0.3.1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest, python3, python3-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.3.1-1~nd90+1_all.deb Size: 7480 SHA256: a7d7c54cebc5670fd0b2b0384fb9fe7d1848d0f6703c94c73d725383ea70f449 SHA1: e4bbc2bd3374a0be56742af0222627dc2b47b5dc MD5sum: 45752e8751381b07b26a3e6556e5727c Description: tool to generate a set of .svg files out of a single .svg file svgtune is a little helper to generate a set of .svg files out of a single .svg file, by tuning respective groups/layers visibility, transparency or anything else. . It might come very handy for generation of incremental figures to be embedded into the presentation in any format which inkscape could render using original .svg file (e.g. pdf, png). Package: tigervnc-common Source: tigervnc Version: 1.5.0-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 168 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_i386.deb Size: 62720 SHA256: 31858e0fc597879001229f80f008a36c01ee3ac3f165c3a5900f92683194cb38 SHA1: bbb4b24a80353d03d9264ab51403baf2b04ee05c MD5sum: 99c4a3e2d7390aab439ce5f69ee315ed 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 503 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_i386.deb Size: 186458 SHA256: 793c97bc2702d0b752b6341cda0664b2db8039906e89ae255ea4308b551a85af SHA1: 9e5a67a764cd14389ceb64e04636bc884d60241b MD5sum: 2521af245ffc3f7a99b4f1ce9699e322 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2732 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_i386.deb Size: 1016826 SHA256: 7dc5a47705dc35b03459cd05f84102c60b4cbe88f27abaefe4c5ece9ac160b1a SHA1: 8710c3dde395fd507ee1ddd4c7ec9881a589ac07 MD5sum: ed80047703d14ed9901a3c2d1f2f7271 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 416 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_i386.deb Size: 159880 SHA256: 56e25a34e9a4fbd8dc96f2d3006909056e56eb1454b6fd6c183c1a0aa0126dc4 SHA1: 791ee9a1f16ae8df9f995f60e923fcda63203564 MD5sum: 117a3ab86df34bc18535bd792ff7d7ef 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 573 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_i386.deb Size: 206982 SHA256: 99befddaafde1942c4c13d41193829db6cf46634ef70d0c7d246fd1f5798fa2d SHA1: 7b996839d630c6b7a3795af94b70e16e2193573b MD5sum: d357a5e1a67071c4cb43568623880e4b 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 18013 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 (>= 2.7), libexpat1 (>= 2.0.1), libfontconfig1 (>= 2.11), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.2), 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_i386.deb Size: 5687508 SHA256: 0ca922b670f7cc8e7d6e55562e68cb04d5c9bca7ba8b6f7df6f12370a8727a94 SHA1: ab2482a929d38eb3befde74adc0881a068043cb6 MD5sum: e2bd751787567442db79f2344ed08da4 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 55458 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_i386.deb Size: 54840338 SHA256: 6c25e26dc416a1bfec37b3c7150a31567180a7957ad309c9c96b5fbfcce618cf SHA1: 473282bab521d36abf6c1cfed08eaaa3232e268f MD5sum: f68010e0159dc07010444ffa4d944ea0 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: 08911a94772d95a20e358c90928a070a2e2df41b 0dfd220156399db39344d43dc6c0d933f53debb7 12aec8f21c333c5a5490ac896f9319a52b87cdfb 22c570ef30c07dea379ee982f622165b36977545 2913beea6e8a774b75048ec6fe9fdcdbc3cf1ca5 2b53f00b767792a62d4b7d8cbc4c2238b10a3de1 3f732233790d86de39befdcdb19a298c61ca578a 4bdaaca4ff2be47ed8f7aac19d84885c6dea4c03 546622132bfdde6d66e7f513e85d0160c9a5ab2a 565c4c8846a7ce79a5a01174607e00d092112964 5cbbf574b4bca5b780739a0f0955d43b1deda7dd 60d9e592f5cf3981f337a580236bb14b6a38ec36 63ea398bc4aeb40e01e851bb047fadc1550e6296 712af00615e9e42cf2a16aabcdfcd5b37eb40a35 77b344ad52e0d251c3e71c2b227521c3dbf2f949 783a2dd06e08a1fbb6131dd54226319704bbe66b 8503d495dc0e2d164140ec2631f96af8915268d1 88a1725de8726392c1b64d4b5a21a6ac4bf49fc9 8bbaf1558d14a1012a6c9369ec4b146ecd8e315b 92dfa2ab4a287e1e63f40422265e9b57589cd264 9590b186ddda99890b649ad4a29438950e7db75f 9cc84a78ff09251a434bcf578257d31bd7aaec9a 9edf020d327bdd2885996fc5eecc94e7440dfb16 a060c4a060bd0d0e9b39dc4669dbeaa4ab6e9c78 b430493d0788872a82406503822812691fde080a b64b769fa6474a3da085d176f7da1228a2821f00 c12c9843d0081271e4a382e79fc8972a571e90a3 cbce15aa7c0c2c953213999fbb6ff6b786e72323 cd21705fff35077ef37e5efcbd146f3d27e646a7 d865eaab9b860945496ec9dc5ef70a609d9a18fa da8305608b08de78da97fce18ad29916556149e2 dc16936e4746674793dd6199e712bc3dadf4685e df5f761156f1467baa7a65cd81abc6f5cb1244f8 e5f8467b937060bcfd3d270df23fa8e2fcc2c1f3 eacf5626949892f6d210fb63f28753b6ea25fcb1 f434678d4ea8d39d0e2125b62f10a5614abaab8e f73ed91a2ef1c571867913be12d5951d40390f32 fd33b283586c8071159fc1874366b22f7ab0a84b ff202bc1b8d03a2fe5fa46c958f2a25fc8dcf0b6 Package: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 209 Depends: neurodebian-popularity-contest, libboost-program-options1.62.0, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:3.0), libstdc++6 (>= 6), libvw0 (= 8.6.1.dfsg1-1~nd90+1), zlib1g (>= 1:1.1.4) Suggests: vowpal-wabbit-doc Homepage: http://hunch.net/~vw/ Priority: optional Section: science Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit_8.6.1.dfsg1-1~nd90+1_i386.deb Size: 62344 SHA256: 9d3ecf064c7b6183c8a25ccf32cffa94e26256949c66825b76d572590167ee8b SHA1: baf7262f5dbdfe61e04ce22d2cabb5f04d242069 MD5sum: 056b326d0beab69de6bc3a0738db73fa Description: fast and scalable online machine learning algorithm Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing Package: vowpal-wabbit-dbg Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 531 Depends: neurodebian-popularity-contest, vowpal-wabbit (= 8.6.1.dfsg1-1~nd90+1) Homepage: http://hunch.net/~vw/ Priority: optional Section: debug Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-dbg_8.6.1.dfsg1-1~nd90+1_i386.deb Size: 85664 SHA256: cb842d07306fb185053a81309ad4a04c5c413c211224dc809de9955f6bfda905 SHA1: 275bd0a4609cfc7756b31d9c81a6e7e38da6613e MD5sum: 82e8869eac09ccb955a311daa5a3e07a Description: fast and scalable online machine learning algorithm - debug files Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains debug symbols for the binaries shipped by vowpal-wabbit packages. Build-Ids: 00812db57b447d89c869785b9365c3ce470a5457 1d4ea229b34505b08518b4e7427b3365f07ddc3d 99e6b956e9f2b6c4cd6587a4e88a01438bc84508 ba3f39e8de3f28085e2176e2bea7588fd32ffaa4 d25183ed6f93aa2cfa41d5bafc240a385df27d2e Package: vowpal-wabbit-doc Source: vowpal-wabbit Version: 8.6.1.dfsg1-1~nd90+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26318 Depends: neurodebian-popularity-contest Recommends: vowpal-wabbit Homepage: http://hunch.net/~vw/ Priority: optional Section: doc Filename: pool/main/v/vowpal-wabbit/vowpal-wabbit-doc_8.6.1.dfsg1-1~nd90+1_all.deb Size: 18701526 SHA256: bd3161377979362354463ecab25b6bf8ae0f4b3744cdd1c0975f26e8915cea46 SHA1: b5f0542fc92dc06fdbc6960993254b7af779c463 MD5sum: 44dc5d46301faae5737e3e96d9fb8f95 Description: fast and scalable online machine learning algorithm - documentation Vowpal Wabbit is a fast online machine learning algorithm. The core algorithm is specialist gradient descent (GD) on a loss function (several are available). VW features: - flexible input data specification - speedy learning - scalability (bounded memory footprint, suitable for distributed computation) - feature pairing . This package contains examples (tests) for vowpal-wabbit. Package: vrpn Version: 07.30+dfsg-1~nd70+1+nd90+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 351 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_i386.deb Size: 94302 SHA256: 5dd627c0f0fef1d33e9b391099c974fa32036e9201bda7cd8a3758bb9f29a098 SHA1: a8bccb2057d033c0b62ed9db104af0759c108ac2 MD5sum: d2c6b5355d5a196cac204447a54a25b5 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3507 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_i386.deb Size: 922976 SHA256: ffc0f1c69f02665abf445859e923e046da2a0c9162fef594196b71f8d898a3b9 SHA1: 611a5f7eafe6445cd8804f95b920e29da949d5f5 MD5sum: cea7c23ed4d45f54b416d0cbdeb79c8c 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 260 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_i386.deb Size: 73412 SHA256: 66b582c1fd6c757f6317ba7225a91b549bed144f5b5635dbd9fd6c4f3b459859 SHA1: 93c36d757d8e5c4bbb614ad7354f1ffb7260dd3a MD5sum: 4603016a86a7bb84c0c084deb5e6f490 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6067 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), 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_i386.deb Size: 3749182 SHA256: 8524528fd6425416bad49826ecb90860789656cae35a7e0961298db630262476 SHA1: 22bb668670bcdd862758ef102c4ba1a6d1f8c670 MD5sum: 70f2e88df1c8500eeb2cb5c663306479 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. Package: youtube-dl Version: 2021.12.17-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5937 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3:any Recommends: aria2 | wget | curl, ca-certificates, ffmpeg, mpv | mplayer, python3-pyxattr, rtmpdump, python3-pycryptodome Suggests: libfribidi-bin | bidiv, phantomjs Homepage: https://ytdl-org.github.io/youtube-dl/ Priority: optional Section: web Filename: pool/main/y/youtube-dl/youtube-dl_2021.12.17-1~nd110+1_all.deb Size: 1128692 SHA256: 75859d2f34a475fc0f199cd6d2b73e18c29cda44406530964890dcb790008eca SHA1: 09f85f2abc32eb5e9c2ccd6bfd1354ea332b6489 MD5sum: 6d04814be91bd9f85a7d3793ff2a2fb3 Description: downloader of videos from YouTube and other sites youtube-dl is a small command-line program to download videos from YouTube.com and other sites that don't provide direct links to the videos served. . youtube-dl allows the user, among other things, to choose a specific video quality to download (if available) or let the program automatically determine the best (or worst) quality video to grab. It supports downloading entire playlists and all videos from a given user. . Currently supported sites (or features of sites) are: . 1tv, 20min, 220.ro, 23video, 24video, 3qsdn, 3sat, 4tube, 56.com, 5min, 6play, 7plus, 8tracks, 91porn, 9c9media, 9gag, 9now.com.au, abc.net.au, abc.net.au:iview, abcnews, abcnews:video, abcotvs, abcotvs:clips, AcademicEarth:Course, acast, acast:channel, ADN, AdobeConnect, adobetv, adobetv:channel, adobetv:embed, adobetv:show, adobetv:video, AdultSwim, aenetworks, aenetworks:collection, aenetworks:show, afreecatv, AirMozilla, AliExpressLive, AlJazeera, Allocine, AlphaPorno, Amara, AMCNetworks, AmericasTestKitchen, AmericasTestKitchenSeason, anderetijden, AnimeOnDemand, Anvato, aol.com, APA, Aparat, AppleConnect, AppleDaily, ApplePodcasts, appletrailers, appletrailers:section, archive.org, ArcPublishing, ARD, ARD:mediathek, ARDBetaMediathek, Arkena, arte.sky.it, ArteTV, ArteTVEmbed, ArteTVPlaylist, AsianCrush, AsianCrushPlaylist, AtresPlayer, ATTTechChannel, ATVAt, AudiMedia, AudioBoom, audiomack, audiomack:album, AWAAN, awaan:live, awaan:season, awaan:video, AZMedien, BaiduVideo, Bandcamp, Bandcamp:album, Bandcamp:weekly, bangumi.bilibili.com, bbc, bbc.co.uk, bbc.co.uk:article, bbc.co.uk:iplayer:playlist, bbc.co.uk:playlist, BBVTV, Beatport, Beeg, BehindKink, Bellator, BellMedia, Bet, bfi:player, bfmtv, bfmtv:article, bfmtv:live, BibelTV, Bigflix, Bild, BiliBili, BilibiliAudio, BilibiliAudioAlbum, BiliBiliPlayer, BioBioChileTV, Biography, BIQLE, BitChute, BitChuteChannel, BleacherReport, BleacherReportCMS, blinkx, Bloomberg, BokeCC, BongaCams, BostonGlobe, Box, Bpb, BR, BravoTV, Break, brightcove:legacy, brightcove:new, BRMediathek, bt:article, bt:vestlendingen, BusinessInsider, BuzzFeed, BYUtv, Camdemy, CamdemyFolder, CamModels, CamTube, CamWithHer, canalc2.tv, Canalplus, Canvas, CanvasEen, CarambaTV, CarambaTVPage, CartoonNetwork, cbc.ca, cbc.ca:olympics, cbc.ca:player, cbc.ca:watch, cbc.ca:watch:video, CBS, CBSInteractive, CBSLocal, CBSLocalArticle, cbsnews, cbsnews:embed, cbsnews:livevideo, CBSSports, CCMA, CCTV, CDA, CeskaTelevize, CeskaTelevizePorady, channel9, CharlieRose, Chaturbate, Chilloutzone, chirbit, chirbit:profile, cielotv.it, Cinchcast, Cinemax, CiscoLiveSearch, CiscoLiveSession, CJSW, cliphunter, Clippit, ClipRs, Clipsyndicate, CloserToTruth, CloudflareStream, Cloudy, Clubic, Clyp, cmt.com, CNBC, CNBCVideo, CNN, CNNArticle, CNNBlogs, ComedyCentral, ComedyCentralTV, CommonMistakes, CondeNast, CONtv, Corus, Coub, Cracked, Crackle, CrooksAndLiars, crunchyroll, crunchyroll:playlist, CSpan, CtsNews, CTV, CTVNews, cu.ntv.co.jp, Culturebox, CultureUnplugged, curiositystream, curiositystream:collection, CWTV, DailyMail, dailymotion, dailymotion:playlist, dailymotion:user, daum.net, daum.net:clip, daum.net:playlist, daum.net:user, DBTV, DctpTv, DeezerPlaylist, defense.gouv.fr, democracynow, DHM, Digg, DigitallySpeaking, Digiteka, Discovery, DiscoveryGo, DiscoveryGoPlaylist, DiscoveryNetworksDe, DiscoveryVR, Disney, dlive:stream, dlive:vod, Dotsub, DouyuShow, DouyuTV, DPlay, DRBonanza, Dropbox, DrTuber, drtv, drtv:live, DTube, Dumpert, dvtv, dw, dw:article, EaglePlatform, EbaumsWorld, EchoMsk, egghead:course, egghead:lesson, ehftv, eHow, EinsUndEinsTV, Einthusan, eitb.tv, EllenTube, EllenTubePlaylist, EllenTubeVideo, ElPais, Embedly, EMPFlix, Engadget, Eporner, EroProfile, Escapist, ESPN, ESPNArticle, EsriVideo, Europa, EWETV, ExpoTV, Expressen, ExtremeTube, EyedoTV, facebook, FacebookPluginsVideo, faz.net, fc2, fc2:embed, Fczenit, filmon, filmon:channel, Filmweb, FiveThirtyEight, FiveTV, Flickr, Folketinget, FootyRoom, Formula1, FOX, FOX9, FOX9News, Foxgay, foxnews, foxnews:article, FoxSports, france2.fr:generation-what, FranceCulture, FranceInter, FranceTV, FranceTVEmbed, francetvinfo.fr, FranceTVJeunesse, FranceTVSite, Freesound, freespeech.org, FreshLive, FrontendMasters, FrontendMastersCourse, FrontendMastersLesson, FujiTVFODPlus7, Funimation, Funk, Fusion, Fux, Gaia, GameInformer, GameSpot, GameStar, Gaskrank, Gazeta, GDCVault, generic, Gfycat, GiantBomb, Giga, GlattvisionTV, Glide, Globo, GloboArticle, Go, GodTube, Golem, google:podcasts, google:podcasts:feed, GoogleDrive, Goshgay, GPUTechConf, Groupon, hbo, HearThisAt, Heise, HellPorno, Helsinki, HentaiStigma, hetklokhuis, hgtv.com:show, HiDive, HistoricFilms, history:player, history:topic, hitbox, hitbox:live, HitRecord, hketv, HornBunny, HotNewHipHop, hotstar, hotstar:playlist, Howcast, HowStuffWorks, HRTi, HRTiPlaylist, Huajiao, HuffPost, Hungama, HungamaSong, Hypem, ign.com, IGNArticle, IGNVideo, IHeartRadio, iheartradio:podcast, imdb, imdb:list, Imgur, imgur:album, imgur:gallery, Ina, Inc, IndavideoEmbed, InfoQ, Instagram, instagram:tag, instagram:user, Internazionale, InternetVideoArchive, IPrima, iqiyi, Ir90Tv, ITTF, ITV, ITVBTCC, ivi, ivi:compilation, ivideon, Iwara, Izlesene, Jamendo, JamendoAlbum, JeuxVideo, Joj, Jove, JWPlatform, Kakao, Kaltura, Kankan, Karaoketv, KarriereVideos, Katsomo, KeezMovies, Ketnet, khanacademy, khanacademy:unit, KickStarter, KinjaEmbed, KinoPoisk, KonserthusetPlay, KrasView, Ku6, KUSI, kuwo:album, kuwo:category, kuwo:chart, kuwo:mv, kuwo:singer, kuwo:song, la7.it, laola1tv, laola1tv:embed, lbry, lbry:channel, LCI, Lcp, LcpPlay, Le, Lecture2Go, Lecturio, LecturioCourse, LecturioDeCourse, LEGO, Lemonde, Lenta, LePlaylist, LetvCloud, Libsyn, life, life:embed, limelight, limelight:channel, limelight:channel_list, LineTV, linkedin:learning, linkedin:learning:course, LinuxAcademy, LiTV, LiveJournal, LiveLeak, LiveLeakEmbed, livestream, livestream:original, livestream:shortener, LnkGo, loc, LocalNews8, LoveHomePorn, lrt.lt, lynda, lynda:course, m6, mailru, mailru:music, mailru:music:search, MallTV, mangomolo:live, mangomolo:video, ManyVids, Markiza, MarkizaPage, massengeschmack.tv, MatchTV, MDR, MedalTV, media.ccc.de, media.ccc.de:lists, Medialaan, Mediaset, Mediasite, MediasiteCatalog, MediasiteNamedCatalog, Medici, megaphone.fm, Meipai, MelonVOD, META, metacafe, Metacritic, mewatch, Mgoon, MGTV, MiaoPai, minds, minds:channel, minds:group, MinistryGrid, Minoto, miomio.tv, MiTele, mixcloud, mixcloud:playlist, mixcloud:user, MLB, Mms, Mnet, MNetTV, MoeVideo, Mofosex, MofosexEmbed, Mojvideo, Morningstar, Motherless, MotherlessGroup, Motorsport, MovieClips, MovieFap, Moviezine, MovingImage, MSN, mtg, mtv, mtv.de, mtv:video, mtvjapan, mtvservices:embedded, MTVUutisetArticle, MuenchenTV, mva, mva:course, Mwave, MwaveMeetGreet, MyChannels, MySpace, MySpace:album, MySpass, Myvi, MyVidster, MyviEmbed, MyVisionTV, n-tv.de, natgeo:video, NationalGeographicTV, Naver, NBA, nba:watch, nba:watch:collection, NBAChannel, NBAEmbed, NBAWatchEmbed, NBC, NBCNews, nbcolympics, nbcolympics:stream, NBCSports, NBCSportsStream, NBCSportsVPlayer, ndr, ndr:embed, ndr:embed:base, NDTV, NerdCubedFeed, netease:album, netease:djradio, netease:mv, netease:playlist, netease:program, netease:singer, netease:song, NetPlus, Netzkino, Newgrounds, NewgroundsPlaylist, Newstube, NextMedia, NextMediaActionNews, NextTV, Nexx, NexxEmbed, nfl.com (CURRENTLY BROKEN), nfl.com:article (CURRENTLY BROKEN), NhkVod, NhkVodProgram, nhl.com, nick.com, nick.de, nickelodeon:br, nickelodeonru, nicknight, niconico, NiconicoPlaylist, Nintendo, njoy, njoy:embed, NJPWWorld, NobelPrize, NonkTube, Noovo, Normalboots, NosVideo, Nova, NovaEmbed, nowness, nowness:playlist, nowness:series, Noz, npo, npo.nl:live, npo.nl:radio, npo.nl:radio:fragment, Npr, NRK, NRKPlaylist, NRKRadioPodkast, NRKSkole, NRKTV, NRKTVDirekte, NRKTVEpisode, NRKTVEpisodes, NRKTVSeason, NRKTVSeries, NRLTV, ntv.ru, Nuvid, NYTimes, NYTimesArticle, NYTimesCooking, NZZ, ocw.mit.edu, OdaTV, Odnoklassniki, OktoberfestTV, OnDemandKorea, onet.pl, onet.tv, onet.tv:channel, OnetMVP, OnionStudios, Ooyala, OoyalaExternal, OraTV, orf:burgenland, orf:fm4, orf:fm4:story, orf:iptv, orf:kaernten, orf:noe, orf:oberoesterreich, orf:oe1, orf:oe3, orf:salzburg, orf:steiermark, orf:tirol, orf:tvthek, orf:vorarlberg, orf:wien, OsnatelTV, OutsideTV, PacktPub, PacktPubCourse, pandora.tv, ParamountNetwork, parliamentlive.tv, Patreon, pbs, PearVideo, PeerTube, People, PerformGroup, periscope, periscope:user, PhilharmonieDeParis, phoenix.de, Photobucket, Picarto, PicartoVod, Piksel, Pinkbike, Pinterest, PinterestCollection, Pladform, Platzi, PlatziCourse, play.fm, player.sky.it, PlayPlusTV, PlaysTV, Playtvak, Playvid, Playwire, pluralsight, pluralsight:course, podomatic, Pokemon, PolskieRadio, PolskieRadioCategory, Popcorntimes, PopcornTV, PornCom, PornerBros, PornHd, PornHub, PornHubPagedVideoList, PornHubUser, PornHubUserVideosUpload, Pornotube, PornoVoisines, PornoXO, PornTube, PressTV, prosiebensat1, puhutv, puhutv:serie, Puls4, Pyvideo, qqmusic, qqmusic:album, qqmusic:playlist, qqmusic:singer, qqmusic:toplist, QuantumTV, Qub, Quickline, QuicklineLive, R7, R7Article, radio.de, radiobremen, radiocanada, radiocanada:audiovideo, radiofrance, RadioJavan, Rai, RaiPlay, RaiPlayLive, RaiPlayPlaylist, RayWenderlich, RayWenderlichCourse, RBMARadio, RDS, RedBull, RedBullEmbed, RedBullTV, RedBullTVRrnContent, Reddit, RedditR, RedTube, RegioTV, RENTV, RENTVArticle, Restudy, Reuters, ReverbNation, RICE, RMCDecouverte, RockstarGames, RoosterTeeth, RottenTomatoes, Roxwel, Rozhlas, RTBF, rte, rte:radio, rtl.nl, rtl2, rtl2:you, rtl2:you:series, Rtmp, RTP, RTS, rtve.es:alacarta, rtve.es:infantil, rtve.es:live, rtve.es:television, RTVNH, RTVS, RUHD, RumbleEmbed, rutube, rutube:channel, rutube:embed, rutube:movie, rutube:person, rutube:playlist, RUTV, Ruutu, Ruv, safari, safari:api, safari:course, SAKTV, SaltTV, Sapo, savefrom.net, SBS, schooltv, screen.yahoo:search, Screencast, ScreencastOMatic, ScrippsNetworks, scrippsnetworks:watch, SCTE, SCTECourse, Seeker, SenateISVP, SendtoNews, Servus, Sexu, SeznamZpravy, SeznamZpravyArticle, Shahid, ShahidShow, Shared, ShowRoomLive, Sina, sky.it, sky:news, sky:sports, sky:sports:news, skyacademy.it, SkylineWebcams, skynewsarabia:article, skynewsarabia:video, Slideshare, SlidesLive, Slutload, Snotr, Sohu, SonyLIV, soundcloud, soundcloud:playlist, soundcloud:search, soundcloud:set, soundcloud:trackstation, soundcloud:user, SoundcloudEmbed, soundgasm, soundgasm:profile, southpark.cc.com, southpark.cc.com:español, southpark.de, southpark.nl, southparkstudios.dk, SpankBang, SpankBangPlaylist, Spankwire, Spiegel, sport.francetvinfo.fr, Sport5, SportBox, SportDeutschland, spotify, spotify:show, Spreaker, SpreakerPage, SpreakerShow, SpreakerShowPage, SpringboardPlatform, Sprout, sr:mediathek, SRGSSR, SRGSSRPlay, stanfordoc, Steam, Stitcher, StitcherShow, Streamable, streamcloud.eu, StreamCZ, StreetVoice, StretchInternet, stv:player, SunPorno, sverigesradio:episode, sverigesradio:publication, SVT, SVTPage, SVTPlay, SVTSeries, SWRMediathek, Syfy, SztvHu, t-online.de, Tagesschau, tagesschau:player, Tass, TBS, TDSLifeway, Teachable, TeachableCourse, teachertube, teachertube:user:collection, TeachingChannel, Teamcoco, TeamTreeHouse, TechTalks, techtv.mit.edu, ted, Tele13, Tele5, TeleBruxelles, Telecinco, Telegraaf, TeleMB, TeleQuebec, TeleQuebecEmission, TeleQuebecLive, TeleQuebecSquat, TeleQuebecVideo, TeleTask, Telewebion, TennisTV, TenPlay, TestURL, TF1, TFO, TheIntercept, ThePlatform, ThePlatformFeed, TheScene, TheStar, TheSun, TheWeatherChannel, ThisAmericanLife, ThisAV, ThisOldHouse, TikTok, TikTokUser (CURRENTLY BROKEN), tinypic, TMZ, TMZArticle, TNAFlix, TNAFlixNetworkEmbed, toggle, ToonGoggles, tou.tv, Toypics, ToypicsUser, TrailerAddict (CURRENTLY BROKEN), Trilulilu, Trovo, TrovoVod, TruNews, TruTV, Tube8, TubiTv, Tumblr, tunein:clip, tunein:program, tunein:shortener, tunein:station, tunein:topic, TunePk, Turbo, tv.dfb.de, TV2, tv2.hu, TV2Article, TV2DK, TV2DKBornholmPlay, TV4, TV5MondePlus, tv5unis, tv5unis:video, tv8.it, TVA, TVANouvelles, TVANouvellesArticle, TVC, TVCArticle, TVer, tvigle, tvland.com, TVN24, TVNet, TVNoe, TVNow, TVNowAnnual, TVNowNew, TVNowSeason, TVNowShow, tvp, tvp:embed, tvp:series, TVPlayer, TVPlayHome, Tweakers, TwitCasting, twitch:clips, twitch:stream, twitch:vod, TwitchCollection, TwitchVideos, TwitchVideosClips, TwitchVideosCollections, twitter, twitter:amplify, twitter:broadcast, twitter:card, udemy, udemy:course, UDNEmbed, UFCArabia, UFCTV, UKTVPlay, umg:de, UnicodeBOM, Unistra, Unity, uol.com.br, uplynk, uplynk:preplay, Urort, URPlay, USANetwork, USAToday, ustream, ustream:channel, ustudio, ustudio:embed, Varzesh3, Vbox7, VeeHD, Veoh, Vesti, Vevo, VevoPlaylist, VGTV, vh1.com, vhx:embed, Viafree, vice, vice:article, vice:show, Vidbit, Viddler, Videa, video.google:search, video.sky.it, video.sky.it:live, VideoDetective, videofy.me, videomore, videomore:season, videomore:video, VideoPress, Vidio, VidLii, vidme, vidme:user, vidme:user:likes, vier, vier:videos, viewlift, viewlift:embed, Viidea, viki, viki:channel, vimeo, vimeo:album, vimeo:channel, vimeo:group, vimeo:likes, vimeo:ondemand, vimeo:review, vimeo:user, vimeo:watchlater, Vimple, Vine, vine:user, Viqeo, Viu, viu:ott, viu:playlist, Vivo, vk, vk:uservideos, vk:wallpost, vlive, vlive:channel, vlive:post, Vodlocker, VODPl, VODPlatform, VoiceRepublic, Voot, VoxMedia, VoxMediaVolume, vpro, Vrak, VRT, VrtNU, vrv, vrv:series, VShare, VTM, VTXTV, vube, VuClip, VVVVID, VVVVIDShow, VyboryMos, Vzaar, Wakanim, Walla, WalyTV, washingtonpost, washingtonpost:article, wat.tv, WatchBox, WatchIndianPorn, WDR, wdr:mobile, WDRElefant, WDRPage, Webcaster, WebcasterFeed, WebOfStories, WebOfStoriesPlaylist, Weibo, WeiboMobile, WeiqiTV, Wistia, WistiaPlaylist, wnl, WorldStarHipHop, WSJ, WSJArticle, WWE, XBef, XboxClips, XFileShare, XHamster, XHamsterEmbed, XHamsterUser, xiami:album, xiami:artist, xiami:collection, xiami:song, ximalaya, ximalaya:album, XMinus, XNXX, Xstream, XTube, XTubeUser, Xuite, XVideos, XXXYMovies, Yahoo, yahoo:gyao, yahoo:gyao:player, yahoo:japannews, YandexDisk, yandexmusic:album, yandexmusic:artist:albums, yandexmusic:artist:tracks, yandexmusic:playlist, yandexmusic:track, YandexVideo, YapFiles, YesJapan, yinyuetai:video, Ynet, YouJizz, youku, youku:show, YouNowChannel, YouNowLive, YouNowMoment, YouPorn, YourPorn, YourUpload, youtube, youtube:favorites, youtube:history, youtube:playlist, youtube:recommended, youtube:search, youtube:search:date, youtube:subscriptions, youtube:tab, youtube:truncated_id, youtube:truncated_url, youtube:watchlater, YoutubeYtBe, YoutubeYtUser, Zapiks, Zattoo, ZattooLive, ZDF, ZDFChannel, zingmp3, Zype