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# -*- coding: utf-8 -*- |
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# vim:fileencoding=utf-8 |
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# |
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# Copyright (c) 2019-2022 Stefan Bender |
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# |
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# This module is part of sciapy. |
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# sciapy is free software: you can redistribute it or modify |
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# it under the terms of the GNU General Public License as published |
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# by the Free Software Foundation, version 2. |
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# See accompanying LICENSE file or http://www.gnu.org/licenses/gpl-2.0.html. |
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"""SCIAMACHY regression module command line interface tests |
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Test functions to assure that the command line interface works in |
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most of the cases, if not all. |
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""" |
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from os import path |
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from pytest import mark |
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from subprocess import Popen |
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try: |
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import netCDF4 |
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NC_EXT = ".nc" |
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except ImportError: |
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NC_EXT = ".nc3" |
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DATA_FILE = path.join( |
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".", "tests", "data", |
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"scia_mlt_dzmNO_part_2008-2012_v6.2_2.1_akm0.002_geomag10_nw" + NC_EXT |
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) |
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def test_main_help(): |
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p = Popen(["python", "-m", "sciapy.regress", "-h"]) |
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p.communicate() |
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p.wait() |
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assert p.returncode == 0 |
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@mark.long |
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def test_main_lin_mean(tmpdir): |
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p = Popen(["python", "-m", "sciapy.regress", |
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DATA_FILE, |
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"-o", tmpdir, |
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"-A", "70", |
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"-L", "65", |
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"-k", |
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"-O1", |
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"-w", "50", |
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"-b", "10", |
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"-p", "20", |
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"--plot_corner", |
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"--plot_maxlnp", |
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"--plot_maxlnpres", |
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"--plot_median", |
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"--plot_residuals", |
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"--plot_samples", |
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"--random_seed=1234", |
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"-q", |
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]) |
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p.communicate() |
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p.wait() |
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assert p.returncode == 0 |
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@mark.long |
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@mark.parametrize("optimize", range(5)) |
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def test_main_lin_gp(tmpdir, optimize): |
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p = Popen(["python", "-m", "sciapy.regress", |
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DATA_FILE, |
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"-o", tmpdir, |
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"-A", "70", |
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"-L", "65", |
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"-k", |
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"-K", "Mat32", |
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"-O", str(optimize), |
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"-w", "4", |
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"-b", "5", |
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"-p", "10", |
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"--no-plot_corner", |
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"--no-plot_maxlnp", |
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"--no-plot_maxlnpres", |
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"--no-plot_median", |
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"--no-plot_residuals", |
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"--no-plot_samples", |
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"--random_seed=1234", |
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"-q", |
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]) |
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p.communicate() |
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p.wait() |
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assert p.returncode == 0 |
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@mark.long |
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@mark.parametrize("gpopts", [(), ("-g",), ("-g", "-H")]) |
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def test_main_nonlin_gp(tmpdir, gpopts): |
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p = Popen(["python", "-m", "sciapy.regress", |
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DATA_FILE, |
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"-o", tmpdir, |
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"-A", "70", |
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"-L", "65", |
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"-k", |
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"-F", "\"\"", |
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"-I", "GM", |
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"--fit_annlifetimes", "GM", |
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"--positive_proxies", "GM", |
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"--lifetime_scan=60", |
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"--lifetime_prior=exp", |
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"--cnt_threshold=3", |
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"--akd_threshold=0.01", |
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"-K", "Mat32", |
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"-W", |
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"-O1", |
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"-w", "4", |
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"-b", "10", |
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"-p", "20", |
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"--no-plot_corner", |
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"--no-plot_maxlnp", |
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"--no-plot_maxlnpres", |
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"--no-plot_median", |
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"--no-plot_residuals", |
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"--no-plot_samples", |
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"--random_seed=1234", |
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"-q", |
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] + list(gpopts)) |
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p.communicate() |
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p.wait() |
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assert p.returncode == 0 |
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st-bender /
sciapy
