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pkgsrc/math/py-astroML/PLIST
mef dd16fc1676 (math/py-astroML) import py38-astroML-1.0 
Based on PR pkg/55871 by Daisuke Kinoshita:

AstroML is an Astropy affiliated Python module for machine learning and
data mining in astronomy.
2020-12-19 14:42:39 +00:00

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@comment $NetBSD: PLIST,v 1.1 2020/12/19 14:42:39 mef Exp $
${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
${PYSITELIB}/${EGG_INFODIR}/requires.txt
${PYSITELIB}/${EGG_INFODIR}/top_level.txt
${PYSITELIB}/astroML/__init__.py
${PYSITELIB}/astroML/__init__.pyc
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${PYSITELIB}/astroML/classification/__init__.py
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${PYSITELIB}/astroML/datasets/LINEAR_sample.py
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${PYSITELIB}/astroML/datasets/rrlyrae_mags.py
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${PYSITELIB}/astroML/datasets/rrlyrae_templates.py
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${PYSITELIB}/astroML/datasets/sdss_S82standards.py
${PYSITELIB}/astroML/datasets/sdss_S82standards.pyc
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${PYSITELIB}/astroML/datasets/sdss_corrected_spectra.py
${PYSITELIB}/astroML/datasets/sdss_corrected_spectra.pyc
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${PYSITELIB}/astroML/datasets/sdss_filters.py
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${PYSITELIB}/astroML/datasets/tools/__init__.py
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${PYSITELIB}/astroML/datasets/tools/sql_query.py
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${PYSITELIB}/astroML/decorators.py
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${PYSITELIB}/astroML/density_estimation/__init__.py
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${PYSITELIB}/astroML/density_estimation/bayesian_blocks.py
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${PYSITELIB}/astroML/density_estimation/empirical.py
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${PYSITELIB}/astroML/density_estimation/tests/test_xdeconv.py
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${PYSITELIB}/astroML/fourier.py
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${PYSITELIB}/astroML/linear_model/TLS.py
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${PYSITELIB}/astroML/lumfunc.py
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${PYSITELIB}/astroML/plotting/__init__.py
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${PYSITELIB}/astroML/plotting/regression.py
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${PYSITELIB}/astroML/plotting/settings.py
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${PYSITELIB}/astroML/plotting/tests/test_devectorize.py
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${PYSITELIB}/astroML/plotting/tools.py
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${PYSITELIB}/astroML/stats/__init__.py
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${PYSITELIB}/astroML/utils/utils.py
${PYSITELIB}/astroML/utils/utils.pyc
${PYSITELIB}/astroML/utils/utils.pyo
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