# ------------------- The OpenQuake Model Building Toolkit --------------------
# Copyright (C) 2022 GEM Foundation
# _______ _______ __ __ _______ _______ ___ _
# | || | | |_| || _ || || | | |
# | _ || _ | ____ | || |_| ||_ _|| |_| |
# | | | || | | ||____|| || | | | | _|
# | |_| || |_| | | || _ | | | | |_
# | || | | ||_|| || |_| | | | | _ |
# |_______||____||_| |_| |_||_______| |___| |___| |_|
#
# This program is free software: you can redistribute it and/or modify it under
# the terms of the GNU Affero General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your option) any
# later version.
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more
# details.
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# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
# -----------------------------------------------------------------------------
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# coding: utf-8
"""
Module create_grid_test
"""
import os
import toml
import unittest
import tempfile
import numpy as np
from openquake.ghm.grid.get_sites import _get_sites
# from openquake.ghm.grid.get_site_model import _get_site_model
DATA = os.path.join(os.path.dirname(__file__))
[docs]
class GetSitesModelTestCase(unittest.TestCase):
""" Test the creation of a grid of sites """
[docs]
def test_get_model(self):
""" Test creation of site model for the CEA region """
model = 'cea'
folder_out = tempfile.mkdtemp()
fname_conf = os.path.join(DATA, 'data', 'conf.toml')
# Get the configuration
conf = toml.load(fname_conf)
root_path = os.path.dirname(fname_conf)
sites, _, _, _ = _get_sites(model, folder_out, conf, root_path)
#fname_expected = os.path.join(DATA, 'data', 'cea.csv')
#expected = np.loadtxt(fname_expected, delimiter=',')
#fname_computed = os.path.join(folder_out, 'cea.csv')
#computed = np.loadtxt(fname_computed, delimiter=',')
#np.testing.assert_almost_equal(computed, expected)