2017-09-15 21:48:53 +01:00
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{ stdenv, buildPythonPackage, fetchPypi, nose, nibabel, numpy, scikitlearn
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, scipy, matplotlib }:
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buildPythonPackage rec {
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pname = "nilearn";
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2019-02-14 07:37:21 +00:00
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version = "0.5.0";
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2017-11-09 11:26:09 +00:00
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name = pname + "-" + version;
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2017-09-15 21:48:53 +01:00
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src = fetchPypi {
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inherit pname version;
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2019-02-14 07:37:21 +00:00
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sha256 = "085cd4f7c19a47ed9d951c853223190b9fb0dbddeaeedf8f86dfa9c53d6492ca";
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2017-09-15 21:48:53 +01:00
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};
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2018-09-13 18:40:29 +01:00
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# disable some failing tests
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checkPhase = ''
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nosetests nilearn/tests \
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2018-09-19 22:50:22 +01:00
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-e test_cache_mixin_with_expand_user -e test_clean_confounds -e test_detrend \
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-e test_clean_detrending -e test_high_variance_confounds
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2018-09-13 18:40:29 +01:00
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'';
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2017-09-15 21:48:53 +01:00
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2018-09-13 18:40:29 +01:00
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checkInputs = [ nose ];
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2017-09-15 21:48:53 +01:00
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propagatedBuildInputs = [
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matplotlib
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nibabel
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numpy
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scikitlearn
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scipy
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];
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meta = with stdenv.lib; {
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homepage = http://nilearn.github.io;
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description = "A module for statistical learning on neuroimaging data";
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license = licenses.bsd3;
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};
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}
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