#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2020 Satpy developers
#
# This file is part of satpy.
#
# satpy is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# satpy 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 General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# satpy. If not, see <http://www.gnu.org/licenses/>.
"""Tests for GLM compositors."""
[docs]class TestGLMComposites:
"""Test GLM-specific composites."""
[docs] def test_load_composite_yaml(self):
"""Test loading the yaml for this sensor."""
from satpy.composites.config_loader import load_compositor_configs_for_sensors
load_compositor_configs_for_sensors(['glm'])
[docs] def test_highlight_compositor(self):
"""Test creating a highlight composite."""
import dask.array as da
import numpy as np
import xarray as xr
from pyresample.geometry import AreaDefinition
from satpy.composites.glm import HighlightCompositor
rows = 5
cols = 10
area = AreaDefinition(
'test', 'test', 'test',
{'proj': 'eqc', 'lon_0': 0.0,
'lat_0': 0.0},
cols, rows,
(-20037508.34, -10018754.17, 20037508.34, 10018754.17))
comp = HighlightCompositor(
'c14_highlight',
prerequisites=('flash_extent_density', 'C14'),
min_hightlight=0.0,
max_hightlight=1.0,
)
flash_extent_density = xr.DataArray(
da.zeros((rows, cols), chunks=25) + 0.5,
dims=('y', 'x'),
attrs={'name': 'flash_extent_density', 'area': area})
c14_data = np.repeat(np.arange(cols, dtype=np.float64)[None, :], rows, axis=0)
c14 = xr.DataArray(da.from_array(c14_data, chunks=25) + 303.15,
dims=('y', 'x'),
attrs={
'name': 'C14',
'area': area,
'standard_name': 'toa_brightness_temperature',
})
res = comp((flash_extent_density, c14))
assert isinstance(res, xr.DataArray)
assert isinstance(res.data, da.Array)
assert res.attrs['name'] == 'c14_highlight'
data = res.compute()
np.testing.assert_almost_equal(data.values.min(), -0.04)
np.testing.assert_almost_equal(data.values.max(), 1.04)