def test_axis_out_of_bounds(self):
data = np.empty([5, 4])
zdata = np.empty([5, 4])
axis = 4
emsg = 'Axis {} out of range'
with self.assertRaisesRegexp(ValueError, emsg.format(axis)):
vinterp._Interpolation([1, 3], data, zdata, axis=axis)
def test_nd_inconsistent_ndims(self):
z_target = np.empty((2, 3, 4))
z_src = np.empty((3, 4))
fz_src = np.empty((2, 3, 4))
emsg = 'z_target and z_src must have the same number of dimensions'
with self.assertRaisesRegexp(ValueError, emsg):
vinterp._Interpolation(z_target, z_src, fz_src)
def test_nd_inconsistent_shape(self):
z_target = np.empty((3, 2, 6))
z_src = np.empty((3, 4, 5))
fz_src = np.empty((2, 3, 4, 5))
emsg = ('z_target and z_src have different shapes, '
'got \(3, :, 6\) != \(3, :, 5\)')
with self.assertRaisesRegexp(ValueError, emsg):
vinterp._Interpolation(z_target, z_src, fz_src, axis=2)
def test_axis_out_of_bounds_z_src_absolute(self):
# axis is out of bounds as identified by the relative axis with fz_src.
data = np.empty((5, 4))
zdata = np.empty((3, 5, 4))
axis = 0
emsg = 'Axis {} out of range'
with self.assertRaisesRegexp(ValueError, emsg.format(axis)):
vinterp._Interpolation([1, 3], data, zdata, axis=axis)
def test_target_z_2d_over_3d_on_axis_m1(self):
"""
Test the case where z_target(3, 3) and z_src(3, 4) are 2d, but the
source data fz_src(3, 3, 4) is 3d. z_target and z_src cover the last
2 dimensions of fz_src. The axis of interpolation is the default last
dimension, axis=-1, wrt fx_src.
"""
# Generate the 3d source data fz_src(3, 3, 4)
base = np.arange(4) * 2
data = np.broadcast_to(base, (3, 3, 4))
fz_src = data * np.arange(1, 4).reshape(3, 1, 1) * 10
# Generate the 2d target coordinate z_target(3, 3)
# The target coordinate is configured to request the interpolated
# mid-points over axis=-1 (aka axis=2) of fz_src.
z_target = np.repeat(np.arange(1, 6, 2).reshape(1, 3), 3, axis=0) * 10
# Generate the 2d source coordinate z_src(3, 4)
z_src = np.repeat(np.arange(4).reshape(1, 4), 3, axis=0) * 20
# Configure the vertical interpolator.
interp = vinterp._Interpolation(
z_target,
z_src,
fz_src,
)
# Perform the vertical interpolation.
result = interp.interpolate_z_target_nd()
# Generate the 3d expected interpolated result(3, 3, 3)
expected = np.repeat(z_target[np.newaxis, ...], 3, axis=0)
expected = expected * np.arange(1, 4).reshape(3, 1, 1)
assert_array_equal(result, expected)
def test_axis_2(self):
data = zdata = np.empty([5, 4, 23, 7, 3])
i = vinterp._Interpolation([1, 3], data, zdata, axis=2)
# 1932 == 4 * 23 * 7 *3
self.assertEqual(i._result_working_shape, (1, 20, 2, 21))
self.assertEqual(i.result_shape, (5, 4, 2, 7, 3))
self.assertEqual(i._zp_reshaped.shape, (20, 23, 21))
def test_result_dtype_f8(self):
interp = vinterp._Interpolation([17.5],
np.arange(4) * 10,
np.arange(4, dtype='f8'))
result = interp.interpolate()
self.assertEqual(interp._target_dtype, np.dtype('f8'))
self.assertEqual(result.dtype, np.dtype('f8'))
def test_axis_greater_than_z_src_ndim(self):
# Ensure that axis is not unnecessarily constrained to the dimensions
# of z_src.
data = np.empty((4))
zdata = np.empty((3, 5, 4))
axis = 2
result = vinterp._Interpolation(data.copy(), data, zdata, axis=axis)
self.assertEqual(result.result_shape, (3, 5, 4))
def test_target_z_3d_on_axis_m1(self):
z_target = z_source = f_source = np.arange(3) * np.ones([4, 2, 3])
interp = vinterp._Interpolation(
z_target,
z_source,
f_source,
axis=-1,
extrapolation=stratify.EXTRAPOLATE_NEAREST)
result = interp.interpolate_z_target_nd()
assert_array_equal(result, f_source)
def test_axis_m1(self):
data = np.empty([5, 4, 23, 7, 3])
zdata = np.empty([5, 4, 23, 7, 3])
i = vinterp._Interpolation([1, 3], zdata, data)
# 1288 == 5 * 4 * 23 * 7
self.assertEqual(i._result_working_shape, (1, 3220, 2, 1))
self.assertEqual(i.result_shape, (5, 4, 23, 7, 2))
self.assertEqual(i._zp_reshaped.shape, (3220, 3, 1))
self.assertEqual(i._fp_reshaped.shape, (1, 3220, 3, 1))
self.assertEqual(i.axis, -1)
self.assertEqual(i.orig_shape, data.shape)
self.assertIsInstance(i.z_target, np.ndarray)
self.assertEqual(list(i.z_target), [1, 3])
def test_inconsistent_shape(self):
data = np.empty([5, 4, 23, 7, 3])
zdata = np.empty([5, 4, 3, 7, 3])
emsg = 'z_src .* is not a subset of fz_src'
with self.assertRaisesRegexp(ValueError, emsg):
vinterp._Interpolation([1, 3], data, zdata, axis=2)
