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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2018 Pyresample Developers
#
# This program is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser 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 Lesser General Public License for more
# details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
"""Testing the data_reduce module."""
import unittest
import numpy as np
from pyresample import geometry
from pyresample.data_reduce import (
get_valid_index_from_cartesian_grid,
get_valid_index_from_lonlat_grid,
swath_from_cartesian_grid,
swath_from_lonlat_boundaries,
swath_from_lonlat_grid,
)
class Test(unittest.TestCase):
"""Unit testing the data_reduce module."""
@classmethod
def setUpClass(cls):
"""Get ready for testing."""
cls.area_def = geometry.AreaDefinition('areaD',
'Europe (3km, HRV, VTC)',
'areaD',
{'a': '6378144.0',
'b': '6356759.0',
'lat_0': '50.00',
'lat_ts': '50.00',
'lon_0': '8.00',
'proj': 'stere'},
800,
800,
[-1370912.72,
-909968.64000000001,
1029087.28,
1490031.3600000001])
def test_reduce(self):
data = np.fromfunction(lambda y, x: (y + x), (1000, 1000))
lons = np.fromfunction(
lambda y, x: -180 + (360.0 / 1000) * x, (1000, 1000))
lats = np.fromfunction(
lambda y, x: -90 + (180.0 / 1000) * y, (1000, 1000))
grid_lons, grid_lats = self.area_def.get_lonlats()
lons, lats, data = swath_from_lonlat_grid(grid_lons, grid_lats,
lons, lats, data,
7000)
cross_sum = data.sum()
expected = 20685125.0
self.assertAlmostEqual(cross_sum, expected)
def test_reduce_boundary(self):
data = np.fromfunction(lambda y, x: (y + x), (1000, 1000))
lons = np.fromfunction(
lambda y, x: -180 + (360.0 / 1000) * x, (1000, 1000))
lats = np.fromfunction(
lambda y, x: -90 + (180.0 / 1000) * y, (1000, 1000))
boundary_lonlats = self.area_def.get_boundary_lonlats()
lons, lats, data = swath_from_lonlat_boundaries(boundary_lonlats[0],
boundary_lonlats[1],
lons, lats, data, 7000)
cross_sum = data.sum()
expected = 20685125.0
self.assertAlmostEqual(cross_sum, expected)
def test_cartesian_reduce(self):
data = np.fromfunction(lambda y, x: (y + x), (1000, 1000))
lons = np.fromfunction(
lambda y, x: -180 + (360.0 / 1000) * x, (1000, 1000))
lats = np.fromfunction(
lambda y, x: -90 + (180.0 / 1000) * y, (1000, 1000))
grid = self.area_def.get_cartesian_coords()
lons, lats, data = swath_from_cartesian_grid(grid, lons, lats, data,
7000)
cross_sum = data.sum()
expected = 20685125.0
self.assertAlmostEqual(cross_sum, expected)
def test_area_con_reduce(self):
data = np.fromfunction(lambda y, x: (y + x), (1000, 1000))
lons = np.fromfunction(
lambda y, x: -180 + (360.0 / 1000) * x, (1000, 1000))
lats = np.fromfunction(
lambda y, x: -90 + (180.0 / 1000) * y, (1000, 1000))
grid_lons, grid_lats = self.area_def.get_lonlats()
valid_index = get_valid_index_from_lonlat_grid(grid_lons, grid_lats,
lons, lats, 7000)
data = data[valid_index]
cross_sum = data.sum()
expected = 20685125.0
self.assertAlmostEqual(cross_sum, expected)
def test_area_con_cartesian_reduce(self):
data = np.fromfunction(lambda y, x: (y + x), (1000, 1000))
lons = np.fromfunction(
lambda y, x: -180 + (360.0 / 1000) * x, (1000, 1000))
lats = np.fromfunction(
lambda y, x: -90 + (180.0 / 1000) * y, (1000, 1000))
cart_grid = self.area_def.get_cartesian_coords()
valid_index = get_valid_index_from_cartesian_grid(cart_grid,
lons, lats, 7000)
data = data[valid_index]
cross_sum = data.sum()
expected = 20685125.0
self.assertAlmostEqual(cross_sum, expected)
def test_reduce_north_pole(self):
"""Test reducing around the poles."""
from pyresample import utils
area_id = 'ease_sh'
description = 'Antarctic EASE grid'
proj_id = 'ease_sh'
projection = '+proj=laea +lat_0=-90 +lon_0=0 +a=6371228.0 +units=m'
x_size = 425
y_size = 425
area_extent = (-5326849.0625, -5326849.0625,
5326849.0625, 5326849.0625)
area_def = utils.get_area_def(area_id, description, proj_id,
projection, x_size, y_size, area_extent)
grid_lons, grid_lats = area_def.get_lonlats()
area_id = 'ease_sh'
description = 'Antarctic EASE grid'
proj_id = 'ease_sh'
projection = '+proj=laea +lat_0=-90 +lon_0=0 +a=6371228.0 +units=m'
x_size = 1000
y_size = 1000
area_extent = (-532684.0625, -532684.0625, 532684.0625, 532684.0625)
smaller_area_def = utils.get_area_def(area_id, description, proj_id,
projection, x_size, y_size,
area_extent)
data = np.fromfunction(lambda y, x: (y + x), (1000, 1000))
lons, lats = smaller_area_def.get_lonlats()
lons, lats, data = swath_from_lonlat_grid(grid_lons, grid_lats,
lons, lats, data, 7000)
cross_sum = data.sum()
expected = 999000000.0
self.assertAlmostEqual(cross_sum, expected)
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