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BUG: Iris AreaWeighted regrid float tolerance bug (#2237)
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* Tolerance regrid within_bounds
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Carwyn Pelley authored and marqh committed Nov 11, 2016
1 parent 8d223dd commit 51a45ae
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Showing 3 changed files with 40 additions and 8 deletions.
10 changes: 5 additions & 5 deletions lib/iris/coord_systems.py
Original file line number Diff line number Diff line change
Expand Up @@ -914,11 +914,11 @@ def __repr__(self):
return ("LambertAzimuthalEqualArea(latitude_of_projection_origin={!r},"
" longitude_of_projection_origin={!r}, false_easting={!r},"
" false_northing={!r}, ellipsoid={!r})").format(
self.latitude_of_projection_origin,
self.longitude_of_projection_origin,
self.false_easting,
self.false_northing,
self.ellipsoid)
self.latitude_of_projection_origin,
self.longitude_of_projection_origin,
self.false_easting,
self.false_northing,
self.ellipsoid)

def as_cartopy_crs(self):
if self.ellipsoid is not None:
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4 changes: 2 additions & 2 deletions lib/iris/experimental/regrid.py
Original file line number Diff line number Diff line change
Expand Up @@ -137,8 +137,8 @@ def _within_bounds(src_bounds, tgt_bounds, orderswap=False):
extremes of the source bounds.
"""
min_bound = np.min(src_bounds)
max_bound = np.max(src_bounds)
min_bound = np.min(src_bounds) - 1e-14
max_bound = np.max(src_bounds) + 1e-14

# Swap upper-lower is necessary.
if orderswap is True:
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# (C) British Crown Copyright 2014 - 2015, Met Office
# (C) British Crown Copyright 2014 - 2016, Met Office
#
# This file is part of Iris.
#
Expand Down Expand Up @@ -150,5 +150,37 @@ def test_scalar_with_overlap_above_mdtol(self):
self.assertEqual(ma.count_masked(res.data), 1)


class TestWrapAround(tests.IrisTest):
def test_float_tolerant_equality(self):
# Ensure that floating point numbers are treated appropriately when
# introducing precision difference from wrap_around.
source = Cube([[1]])
cs = GeogCS(6371229)

bounds = np.array([[-91, 0]], dtype='float')
points = bounds.mean(axis=1)
lon_coord = DimCoord(points, bounds=bounds, standard_name='longitude',
units='degrees', coord_system=cs)
source.add_aux_coord(lon_coord, 1)

bounds = np.array([[-90, 90]], dtype='float')
points = bounds.mean(axis=1)
lat_coord = DimCoord(points, bounds=bounds, standard_name='latitude',
units='degrees', coord_system=cs)
source.add_aux_coord(lat_coord, 0)

grid = Cube([[0]])
bounds = np.array([[270, 360]], dtype='float')
points = bounds.mean(axis=1)
lon_coord = DimCoord(points, bounds=bounds, standard_name='longitude',
units='degrees', coord_system=cs)
grid.add_aux_coord(lon_coord, 1)
grid.add_aux_coord(lat_coord, 0)

res = regrid(source, grid)
# The result should be equal to the source data and NOT be masked.
self.assertArrayEqual(res.data, np.array([1.0]))


if __name__ == '__main__':
tests.main()

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