def test_negative_lon_points_dont_matter_with_0_360_grid_in_2d(self):
# This cube is defined over a 0-360 longitude grid
cube = make_from_cube(mock.make_dummy_2d_cube())
sample_points = UngriddedData.from_points_array(
[HyperPoint(lat=1.0, lon=1.0),
HyperPoint(lat=19.0, lon=44.0),
HyperPoint(lat=-4.0, lon=-14.0),
HyperPoint(lat=-4.0, lon=-44.0)])
col = GriddedUngriddedCollocator()
new_data = col.collocate(sample_points, cube, None, 'nn')[0]
eq_(new_data.data[0], 325.0) # float(cube[9,0].data)
eq_(new_data.data[1], 365.0) # float(cube[10,4].data))
eq_(new_data.data[2], 324.0) # float(cube[8,35].data))
eq_(new_data.data[3], 321.0) # float(cube[8,32].data))
def test_lon_points_over_360_dont_matter_with_0_360_grid_in_2d(self):
# This cube is defined over a 0-360 longitude grid
cube = make_from_cube(mock.make_dummy_2d_cube())
sample_points = UngriddedData.from_points_array(
[HyperPoint(lat=1.0, lon=0.0),
HyperPoint(lat=1.0, lon=20.0),
HyperPoint(lat=1.0, lon=361.0),
HyperPoint(lat=1.0, lon=381.0)])
col = GriddedUngriddedCollocator(extrapolate=True)
new_data = col.collocate(sample_points, cube, None, 'nn')[0]
eq_(new_data.data[0], 325.0) # float(cube[9,0].data))
eq_(new_data.data[1], 327.0) # float(cube[9,0].data))
eq_(new_data.data[2], 325.0) # float(cube[9,0].data))
eq_(new_data.data[3], 327.0) # float(cube[9,2].data))
def test_lon_points_over_360_dont_matter_with_0_360_grid_in_2d(self):
from cis.collocation.col_implementations import GeneralUngriddedCollocator, nn_gridded
# This cube is defined over a 0-360 longitude grid
cube = gridded_data.make_from_cube(mock.make_dummy_2d_cube())
sample_points = UngriddedData.from_points_array(
[HyperPoint(lat=1.0, lon=0.0),
HyperPoint(lat=1.0, lon=20.0),
HyperPoint(lat=1.0, lon=361.0),
HyperPoint(lat=1.0, lon=381.0)])
col = GeneralUngriddedCollocator()
new_data = col.collocate(sample_points, cube, None, nn_gridded())[0]
eq_(new_data.data[0], 325.0) # float(cube[9,0].data))
eq_(new_data.data[1], 327.0) # float(cube[9,0].data))
eq_(new_data.data[2], 325.0) # float(cube[9,0].data))
eq_(new_data.data[3], 327.0) # float(cube[9,2].data))
def test_lon_points_over_360_dont_matter_with_0_360_grid_in_2d(self):
# This cube is defined over a 0-360 longitude grid
cube = make_from_cube(mock.make_dummy_2d_cube())
sample_points = UngriddedData.from_points_array([
HyperPoint(lat=1.0, lon=0.0),
HyperPoint(lat=1.0, lon=20.0),
HyperPoint(lat=1.0, lon=361.0),
HyperPoint(lat=1.0, lon=381.0)
])
col = GriddedUngriddedCollocator(extrapolate=True)
new_data = col.collocate(sample_points, cube, None, 'nn')[0]
eq_(new_data.data[0], 325.0) # float(cube[9,0].data))
eq_(new_data.data[1], 327.0) # float(cube[9,0].data))
eq_(new_data.data[2], 325.0) # float(cube[9,0].data))
eq_(new_data.data[3], 327.0) # float(cube[9,2].data))
def test_negative_lon_points_dont_matter_with_0_360_grid_in_2d(self):
# This cube is defined over a 0-360 longitude grid
cube = make_from_cube(mock.make_dummy_2d_cube())
sample_points = UngriddedData.from_points_array([
HyperPoint(lat=1.0, lon=1.0),
HyperPoint(lat=19.0, lon=44.0),
HyperPoint(lat=-4.0, lon=-14.0),
HyperPoint(lat=-4.0, lon=-44.0)
])
col = GriddedUngriddedCollocator()
new_data = col.collocate(sample_points, cube, None, 'nn')[0]
eq_(new_data.data[0], 325.0) # float(cube[9,0].data)
eq_(new_data.data[1], 365.0) # float(cube[10,4].data))
eq_(new_data.data[2], 324.0) # float(cube[8,35].data))
eq_(new_data.data[3], 321.0) # float(cube[8,32].data))
def test_guessing_the_bounds_on_a_cube_doesnt_matter_for_negative_lon_points_on_a_0_360_grid_in_2d(self):
"""This should be identical to above but there was an issue in iris where this caused a problem"""
# This cube is defined over a 0-360 longitude grid
cube = make_from_cube(mock.make_dummy_2d_cube())
cube.coord(standard_name='longitude').guess_bounds()
sample_points = UngriddedData.from_points_array(
[HyperPoint(lat=1.0, lon=1.0),
HyperPoint(lat=19.0, lon=44.0),
HyperPoint(lat=-4.0, lon=-14.0),
HyperPoint(lat=-4.0, lon=-44.0)])
col = GriddedUngriddedCollocator()
new_data = col.collocate(sample_points, cube, None, 'nn')[0]
eq_(new_data.data[0], 325.0) # float(cube[9,0].data)
eq_(new_data.data[1], 365.0) # float(cube[10,4].data))
eq_(new_data.data[2], 324.0) # float(cube[8,35].data))
eq_(new_data.data[3], 321.0) # float(cube[8,32].data))
def test_guessing_the_bounds_on_a_cube_doesnt_matter_for_negative_lon_points_on_a_0_360_grid_in_2d(
self):
"""This should be identical to above but there was an issue in iris where this caused a problem"""
# This cube is defined over a 0-360 longitude grid
cube = make_from_cube(mock.make_dummy_2d_cube())
cube.coord(standard_name='longitude').guess_bounds()
sample_points = UngriddedData.from_points_array([
HyperPoint(lat=1.0, lon=1.0),
HyperPoint(lat=19.0, lon=44.0),
HyperPoint(lat=-4.0, lon=-14.0),
HyperPoint(lat=-4.0, lon=-44.0)
])
col = GriddedUngriddedCollocator()
new_data = col.collocate(sample_points, cube, None, 'nn')[0]
eq_(new_data.data[0], 325.0) # float(cube[9,0].data)
eq_(new_data.data[1], 365.0) # float(cube[10,4].data))
eq_(new_data.data[2], 324.0) # float(cube[8,35].data))
eq_(new_data.data[3], 321.0) # float(cube[8,32].data))