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"""Tests for GeoInterpolator."""
import unittest
import numpy as np
import pytest
from pyresample.geometry import SwathDefinition
from geotiepoints.geointerpolator import GeoInterpolator, GeoGridInterpolator, GeoSplineInterpolator
TIES_EXP1 = np.array([[6384905.78040055, 6381081.08333225, 6371519.34066148,
6328950.00792935, 6253610.69157758, 6145946.19489936,
6124413.29556372],
[6377591.95940176, 6370997., 6354509.6014956,
6305151.62592155, 6223234.99818839, 6109277.14889072,
6086485.57903118],
[6359307.40690478, 6345786.79166939, 6311985.2535809,
6245655.67090206, 6147295.76471541, 6017604.5338691,
5991666.28769983],
[6351993.58590599, 6335702.70833714, 6294975.51441502,
6221857.28889426, 6116920.07132621, 5980935.48786045,
5953738.5711673],
[6338032.26190294, 6320348.4990906, 6276139.09205974,
6199670.56624433, 6091551.90273768, 5952590.38414781,
5924798.08042984],
[6290665.5946295, 6270385.16249031, 6219684.08214232,
6137100.75832981, 6023313.2794414, 5879194.72399075,
5850371.01290062],
[6172248.92644589, 6145476.82098957, 6078546.55734877,
5980676.23854351, 5852716.72120069, 5695705.57359808,
5664303.34407756],
[6124882.25917245, 6095513.48438928, 6022091.54743135,
5918106.430629, 5784478.09790441, 5622309.91344102,
5589876.27654834]])
TIES_EXP2 = np.array([[6372937.31273379, 6370997., 6366146.21816553,
6351605.98629588, 6327412.61244969, 6293626.50067273,
6286869.27831734],
[6353136.46335726, 6345786.79166939, 6327412.61244969,
6299445.69529922, 6261968.60390423, 6215087.60607344,
6205711.40650728]])
TIES_EXP4 = np.array([[6381081.08333225, 6381639.66045187, 6372470.10269454,
6353590.21586788, 6325042.05851245],
[6370997., 6366146.21816553, 6351605.98629588,
6327412.61244969, 6293626.50067273],
[6345786.79166939, 6327412.61244969, 6299445.69529922,
6261968.60390423, 6215087.60607344],
[6335702.70833714, 6311919.17016336, 6278581.57890056,
6235791.00048604, 6183672.04823372]])
TIES_EXP5 = np.array([[6381081.08333225, 6371519.34066148, 6328950.00792935,
6253610.69157758, 6145946.19489936],
[6370997., 6354509.6014956, 6305151.62592155,
6223234.99818839, 6109277.14889072],
[6345786.79166939, 6311985.2535809, 6245655.67090206,
6147295.76471541, 6017604.5338691],
[6270385.16249031, 6219684.08214232, 6137100.75832981,
6023313.2794414, 5879194.72399075],
[6145476.82098957, 6078546.55734877, 5980676.23854351,
5852716.72120069, 5695705.57359808],
[6095513.48438928, 6022091.54743135, 5918106.430629,
5784478.09790441, 5622309.91344102]])
TIES_EXP6 = np.array([[6381081.08333225, 6371519.34066148, 6328950.00792935,
6253610.69157758, 6145946.19489936],
[6370997., 6354509.6014956, 6305151.62592155,
6223234.99818839, 6109277.14889072],
[6345786.79166939, 6311985.2535809, 6245655.67090206,
6147295.76471541, 6017604.5338691],
[6335702.70833714, 6294975.51441502, 6221857.28889426,
6116920.07132621, 5980935.48786045],
[6320348.4990906, 6276139.09205974, 6199670.56624433,
6091551.90273768, 5952590.38414781],
[6270385.16249031, 6219684.08214232, 6137100.75832981,
6023313.2794414, 5879194.72399075],
[6145476.82098957, 6078546.55734877, 5980676.23854351,
5852716.72120069, 5695705.57359808],
[6095513.48438928, 6022091.54743135, 5918106.430629,
5784478.09790441, 5622309.91344102]])
TIES_EXP7 = np.array([[6372937.31273379, 6370997., 6366146.21816553,
6351605.98629588, 6327412.61244969, 6293626.50067273,
6286869.27831734],
[6353136.46335726, 6345786.79166939, 6327412.61244969,
6299445.69529922, 6261968.60390423, 6215087.60607344,
6205711.40650728]])
class TestGeoInterpolator(unittest.TestCase):
"""Class for unit testing the ancillary interpolation functions."""
def test_fillborders(self):
"""Test filling borders."""
lons = np.arange(20).reshape((4, 5), order="F")
lats = np.arange(20).reshape((4, 5), order="C")
lines = np.array([2, 7, 12, 17]) / 5.0
cols = np.array([2, 7, 12, 17, 22])
hlines = np.arange(20) / 5.0
hcols = np.arange(24)
satint = GeoInterpolator(
(lons, lats), (lines, cols), (hlines, hcols), chunk_size=10)
satint.fill_borders('x', 'y')
np.testing.assert_allclose(satint.tie_data[0], TIES_EXP1)
np.testing.assert_allclose(satint.row_indices, np.array(
[0, 2, 7, 9, 10, 12, 17, 19]) / 5.0)
self.assertTrue(
np.allclose(satint.col_indices, np.array([0, 2, 7, 12, 17, 22, 23])))
def test_extrapolate_cols(self):
"""Test extrapolating columns."""
lons = np.arange(10).reshape((2, 5), order="F")
lats = np.arange(10).reshape((2, 5), order="C")
lines = np.array([2, 7])
cols = np.array([2, 7, 12, 17, 22])
hlines = np.arange(10)
hcols = np.arange(24)
satint = GeoInterpolator((lons, lats), (lines, cols), (hlines, hcols))
self.assertTrue(np.allclose(satint._extrapolate_cols(satint.tie_data[0]),
TIES_EXP2))
def test_fill_col_borders(self):
"""Test filling the column borders."""
lons = np.arange(10).reshape((2, 5), order="F")
lats = np.arange(10).reshape((2, 5), order="C")
lines = np.array([2, 7])
cols = np.array([2, 7, 12, 17, 22])
hlines = np.arange(10)
hcols = np.arange(24)
satint = GeoInterpolator((lons, lats), (lines, cols), (hlines, hcols))
satint._fill_col_borders()
np.testing.assert_allclose(satint.tie_data[0], TIES_EXP7)
np.testing.assert_allclose(satint.col_indices,
np.array([0, 2, 7, 12, 17, 22, 23]))
def test_extrapolate_rows(self):
"""Test extrapolation of rows."""
lons = np.arange(10).reshape((2, 5), order="F")
lats = np.arange(10).reshape((2, 5), order="C")
lines = np.array([2, 7])
cols = np.array([2, 7, 12, 17, 22])
hlines = np.arange(10)
hcols = np.arange(24)
satint = GeoInterpolator((lons, lats), (lines, cols), (hlines, hcols))
np.testing.assert_allclose(satint._extrapolate_rows(satint.tie_data[0],
hlines, -0.4, 9.4),
TIES_EXP4)
def test_fill_row_borders(self):
"""Test filling the row borders."""
lons = np.arange(20).reshape((4, 5), order="F")
lats = np.arange(20).reshape((4, 5), order="C")
lines = np.array([2, 7, 12, 17]) / 5.0
cols = np.array([2, 7, 12, 17, 22])
hlines = np.arange(20) / 5.0
hcols = np.arange(24)
satint = GeoInterpolator((lons, lats), (lines, cols), (hlines, hcols))
satint._fill_row_borders()
np.testing.assert_allclose(satint.tie_data[0],
TIES_EXP5)
np.testing.assert_allclose(satint.row_indices,
np.array([0, 2, 7, 12, 17, 19]) / 5.0)
satint = GeoInterpolator((lons, lats), (lines, cols),
(hlines, hcols), chunk_size=10)
satint._fill_row_borders()
np.testing.assert_allclose(satint.tie_data[0],
TIES_EXP6)
np.testing.assert_allclose(satint.row_indices,
np.array([0, 2, 7, 9, 10, 12, 17, 19]) / 5.0)
TIE_LONS = np.array([[1, 2, 3, 4],
[1, 2, 3, 4],
[1, 2, 3, 4],
[1, 2, 3, 4],
[1, 2, 3, 4]])
TIE_LATS = np.array([[1, 1, 1, 1],
[2, 2, 2, 2],
[3, 3, 3, 3],
[4, 4, 4, 4],
[5, 5, 5, 5]])
class TestGeoGridInterpolator:
"""Test the GeoGridInterpolator."""
@pytest.mark.parametrize("args", ((TIE_LONS, TIE_LATS),
[SwathDefinition(TIE_LONS, TIE_LATS)]
))
def test_geogrid_interpolation(self, args):
"""Test that the interpolator works with both explicit tie-point arrays and swath definition objects."""
x_points = np.array([0, 1, 3, 7])
y_points = np.array([0, 1, 3, 7, 15])
interpolator = GeoGridInterpolator((y_points, x_points), *args)
fine_x_points = np.arange(8)
fine_y_points = np.arange(16)
lons, lats = interpolator.interpolate((fine_y_points, fine_x_points))
lons_expected = np.array([1., 2., 2.5, 3., 3.25, 3.5, 3.75, 4.])
lats_expected = np.array([1., 2., 2.5, 3., 3.25, 3.5, 3.75, 4., 4.125,
4.25, 4.375, 4.5, 4.625, 4.75, 4.875, 5.])
np.testing.assert_allclose(lons[0, :], lons_expected, rtol=5e-5)
np.testing.assert_allclose(lats[:, 0], lats_expected, rtol=5e-5)
def test_geogrid_interpolation_counts_its_arguments(self):
"""Test that an arbitrary number of argument is not allowed in the interpolator."""
with pytest.raises(ValueError):
_ = GeoGridInterpolator((None, None), None, None, None)
def test_geogrid_interpolation_to_shape(self):
"""Test that the interpolator works with both explicit tie-point arrays and swath definition objects."""
x_points = np.array([0, 1, 3, 7])
y_points = np.array([0, 1, 3, 7, 15])
interpolator = GeoGridInterpolator((y_points, x_points), TIE_LONS, TIE_LATS)
lons, lats = interpolator.interpolate_to_shape((16, 8))
lons_expected = np.array([1., 2., 2.5, 3., 3.25, 3.5, 3.75, 4.])
lats_expected = np.array([1., 2., 2.5, 3., 3.25, 3.5, 3.75, 4., 4.125,
4.25, 4.375, 4.5, 4.625, 4.75, 4.875, 5.])
np.testing.assert_allclose(lons[0, :], lons_expected, rtol=5e-5)
np.testing.assert_allclose(lats[:, 0], lats_expected, rtol=5e-5)
def test_geogrid_interpolation_preserves_dtype(self):
"""Test that the interpolator works with both explicit tie-point arrays and swath definition objects."""
x_points = np.array([0, 1, 3, 7])
y_points = np.array([0, 1, 3, 7, 15])
interpolator = GeoGridInterpolator((y_points, x_points),
TIE_LONS.astype(np.float32), TIE_LATS.astype(np.float32))
lons, lats = interpolator.interpolate_to_shape((16, 8))
assert lons.dtype == np.float32
assert lats.dtype == np.float32
def test_chunked_geogrid_interpolation(self):
"""Test that the interpolator works with both explicit tie-point arrays and swath definition objects."""
dask = pytest.importorskip("dask")
x_points = np.array([0, 1, 3, 7])
y_points = np.array([0, 1, 3, 7, 15])
interpolator = GeoGridInterpolator((y_points, x_points),
TIE_LONS.astype(np.float32), TIE_LATS.astype(np.float32))
lons, lats = interpolator.interpolate_to_shape((16, 8), chunks=4)
assert lons.chunks == ((4, 4, 4, 4), (4, 4))
assert lats.chunks == ((4, 4, 4, 4), (4, 4))
with dask.config.set({"array.chunk-size": 64}):
lons, lats = interpolator.interpolate_to_shape((16, 8), chunks="auto")
assert lons.chunks == ((4, 4, 4, 4), (4, 4))
assert lats.chunks == ((4, 4, 4, 4), (4, 4))
def test_geogrid_interpolation_can_extrapolate(self):
"""Test that the interpolator can also extrapolate given the right parameters."""
x_points = np.array([0, 1, 3, 7])
y_points = np.array([0, 1, 3, 7, 15])
interpolator = GeoGridInterpolator((y_points, x_points), TIE_LONS, TIE_LATS,
bounds_error=False, fill_value=None)
lons, lats = interpolator.interpolate_to_shape((16, 16), method="cubic")
assert lons.shape == (16, 16)
class TestGeoSplineInterpolator:
"""Test the GeoGridInterpolator."""
@pytest.mark.parametrize("args", ((TIE_LONS, TIE_LATS),
[SwathDefinition(TIE_LONS, TIE_LATS)]
))
def test_geospline_interpolation(self, args):
"""Test that the interpolator works with both explicit tie-point arrays and swath definition objects."""
x_points = np.array([0, 1, 3, 7])
y_points = np.array([0, 1, 3, 7, 15])
interpolator = GeoSplineInterpolator((y_points, x_points), *args, kx=1, ky=1)
fine_x_points = np.arange(8)
fine_y_points = np.arange(16)
lons, lats = interpolator.interpolate((fine_y_points, fine_x_points))
lons_expected = np.array([1., 2., 2.5, 3., 3.25, 3.5, 3.75, 4.])
lats_expected = np.array([1., 2., 2.5, 3., 3.25, 3.5, 3.75, 4., 4.125,
4.25, 4.375, 4.5, 4.625, 4.75, 4.875, 5.])
np.testing.assert_allclose(lons[0, :], lons_expected, rtol=5e-5)
np.testing.assert_allclose(lats[:, 0], lats_expected, rtol=5e-5)
def test_geospline_interpolation_to_shape(self):
"""Test that the interpolator works with both explicit tie-point arrays and swath definition objects."""
x_points = np.array([0, 1, 3, 7])
y_points = np.array([0, 1, 3, 7, 15])
interpolator = GeoSplineInterpolator((y_points, x_points), TIE_LONS, TIE_LATS, kx=1, ky=1)
lons, lats = interpolator.interpolate_to_shape((16, 8))
lons_expected = np.array([1., 2., 2.5, 3., 3.25, 3.5, 3.75, 4.])
lats_expected = np.array([1., 2., 2.5, 3., 3.25, 3.5, 3.75, 4., 4.125,
4.25, 4.375, 4.5, 4.625, 4.75, 4.875, 5.])
np.testing.assert_allclose(lons[0, :], lons_expected, rtol=5e-5)
np.testing.assert_allclose(lats[:, 0], lats_expected, rtol=5e-5)
def test_geospline_interpolation_preserves_dtype(self):
"""Test that the interpolator works with both explicit tie-point arrays and swath definition objects."""
x_points = np.array([0, 1, 3, 7])
y_points = np.array([0, 1, 3, 7, 15])
interpolator = GeoGridInterpolator((y_points, x_points),
TIE_LONS.astype(np.float32), TIE_LATS.astype(np.float32))
lons, lats = interpolator.interpolate_to_shape((16, 8))
assert lons.dtype == np.float32
assert lats.dtype == np.float32
def test_chunked_geospline_interpolation(self):
"""Test that the interpolator works with both explicit tie-point arrays and swath definition objects."""
dask = pytest.importorskip("dask")
x_points = np.array([0, 1, 3, 7])
y_points = np.array([0, 1, 3, 7, 15])
interpolator = GeoGridInterpolator((y_points, x_points),
TIE_LONS.astype(np.float32), TIE_LATS.astype(np.float32))
lons, lats = interpolator.interpolate_to_shape((16, 8), chunks=4)
assert lons.chunks == ((4, 4, 4, 4), (4, 4))
assert lats.chunks == ((4, 4, 4, 4), (4, 4))
with dask.config.set({"array.chunk-size": 64}):
lons, lats = interpolator.interpolate_to_shape((16, 8), chunks="auto")
assert lons.chunks == ((4, 4, 4, 4), (4, 4))
assert lats.chunks == ((4, 4, 4, 4), (4, 4))
|
