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Thu, 21 Jan 2021 03:53:49 +0000 (UTC) (envelope-from yuri@FreeBSD.org) Received: from repo.freebsd.org ([127.0.1.37]) by repo.freebsd.org (8.15.2/8.15.2) with ESMTP id 10L3rnpC014365; Thu, 21 Jan 2021 03:53:49 GMT (envelope-from yuri@FreeBSD.org) Received: (from yuri@localhost) by repo.freebsd.org (8.15.2/8.15.2/Submit) id 10L3rmi2014361; Thu, 21 Jan 2021 03:53:48 GMT (envelope-from yuri@FreeBSD.org) Message-Id: <202101210353.10L3rmi2014361@repo.freebsd.org> X-Authentication-Warning: repo.freebsd.org: yuri set sender to yuri@FreeBSD.org using -f From: Yuri Victorovich Date: Thu, 21 Jan 2021 03:53:48 +0000 (UTC) To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r562173 - in head/science: . py-nilearn X-SVN-Group: ports-head X-SVN-Commit-Author: yuri X-SVN-Commit-Paths: in head/science: . py-nilearn X-SVN-Commit-Revision: 562173 X-SVN-Commit-Repository: ports MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit X-BeenThere: svn-ports-all@freebsd.org X-Mailman-Version: 2.1.34 Precedence: list List-Id: SVN commit messages for the ports tree List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 21 Jan 2021 03:53:49 -0000 Author: yuri Date: Thu Jan 21 03:53:48 2021 New Revision: 562173 URL: https://svnweb.freebsd.org/changeset/ports/562173 Log: New port: science/py-nilearn: Statistical learning for neuroimaging in Python Added: head/science/py-nilearn/ head/science/py-nilearn/Makefile (contents, props changed) head/science/py-nilearn/distinfo (contents, props changed) head/science/py-nilearn/pkg-descr (contents, props changed) Modified: head/science/Makefile Modified: head/science/Makefile ============================================================================== --- head/science/Makefile Thu Jan 21 03:21:18 2021 (r562172) +++ head/science/Makefile Thu Jan 21 03:53:48 2021 (r562173) @@ -257,6 +257,7 @@ SUBDIR += py-netCDF4 SUBDIR += py-netcdf-flattener SUBDIR += py-nibabel + SUBDIR += py-nilearn SUBDIR += py-obspy SUBDIR += py-oddt SUBDIR += py-openpiv Added: head/science/py-nilearn/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/science/py-nilearn/Makefile Thu Jan 21 03:53:48 2021 (r562173) @@ -0,0 +1,31 @@ +# $FreeBSD$ + +PORTNAME= nilearn +DISTVERSION= 0.7.0 +CATEGORIES= science python +MASTER_SITES= CHEESESHOP +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= yuri@FreeBSD.org +COMMENT= Statistical learning for neuroimaging in Python + +LICENSE= BSD3CLAUSE +LICENSE_FILE= ${WRKSRC}/LICENSE + +RUN_DEPENDS= ${PYNUMPY} \ + ${PYTHON_PKGNAMEPREFIX}joblib>0:devel/py-joblib@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}matplotlib>0:math/py-matplotlib@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}nibabel>0:science/py-nibabel@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pandas>0:math/py-pandas@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}scikit-learn>0:science/py-scikit-learn@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}scipy>0:science/py-scipy@${PY_FLAVOR} \ + bash:shells/bash + +USES= python:3.6+ shebangfix +USE_PYTHON= distutils autoplist + +SHEBANG_FILES= nilearn/datasets/tests/data/list_archive_contents.sh + +NO_ARCH= yes + +.include Added: head/science/py-nilearn/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/science/py-nilearn/distinfo Thu Jan 21 03:53:48 2021 (r562173) @@ -0,0 +1,3 @@ +TIMESTAMP = 1611199853 +SHA256 (nilearn-0.7.0.tar.gz) = e7c9df82a31319366f02919794e0ec4eacbae1fb24c41c826070c2a3acf117e6 +SIZE (nilearn-0.7.0.tar.gz) = 2900485 Added: head/science/py-nilearn/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/science/py-nilearn/pkg-descr Thu Jan 21 03:53:48 2021 (r562173) @@ -0,0 +1,12 @@ +Nilearn enables approachable and versatile analyses of brain volumes. It +provides statistical and machine-learning tools, with instructive documentation +& open community. + +It supports general linear model (GLM) based analysis and leverages the +scikit-learn Python toolbox for multivariate statistics with applications such +as predictive modelling, classification, decoding, or connectivity analysis. + +Nilearn now includes the functionality of Nistats. Here's a guide to replacing +Nistats imports to work in Nilearn. + +WWW: http://nilearn.github.io/