Source code for satpy.tests.compositor_tests.test_glm

#!/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
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# 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
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"""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(, 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)