/usr/lib/python3/dist-packages/photutils/utils/tests/test_interpolation.py is in python3-photutils 0.4-1.
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from __future__ import (absolute_import, division, print_function,
unicode_literals)
import warnings
import numpy as np
from numpy.testing import assert_allclose
import pytest
from astropy.utils.exceptions import AstropyDeprecationWarning
from .. import ShepardIDWInterpolator as idw
from .. import interpolate_masked_data, mask_to_mirrored_num
try:
import scipy # noqa
HAS_SCIPY = True
except ImportError:
HAS_SCIPY = False
SHAPE = (5, 5)
DATA = np.ones(SHAPE) * 2.0
MASK = np.zeros_like(DATA, dtype=bool)
MASK[2, 2] = True
ERROR = np.ones(SHAPE)
BACKGROUND = np.ones(SHAPE)
WRONG_SHAPE = np.ones((2, 2))
@pytest.mark.skipif('not HAS_SCIPY')
class TestShepardIDWInterpolator(object):
def setup_class(self):
np.random.seed(123)
self.x = np.random.random(100)
self.y = np.sin(self.x)
self.f = idw(self.x, self.y)
@pytest.mark.parametrize('positions', [0.4, np.arange(2, 5)*0.1])
def test_idw_1d(self, positions):
f = idw(self.x, self.y)
assert_allclose(f(positions), np.sin(positions), atol=1e-2)
def test_idw_weights(self):
weights = self.y * 0.1
f = idw(self.x, self.y, weights=weights)
pos = 0.4
assert_allclose(f(pos), np.sin(pos), atol=1e-2)
def test_idw_2d(self):
pos = np.random.rand(1000, 2)
val = np.sin(pos[:, 0] + pos[:, 1])
f = idw(pos, val)
x = 0.5
y = 0.6
assert_allclose(f([x, y]), np.sin(x + y), atol=1e-2)
def test_idw_3d(self):
val = np.ones((3, 3, 3))
pos = np.indices(val.shape)
f = idw(pos, val)
assert_allclose(f([0.5, 0.5, 0.5]), 1.0)
def test_no_coordinates(self):
with pytest.raises(ValueError):
idw([], 0)
def test_values_invalid_shape(self):
with pytest.raises(ValueError):
idw(self.x, 0)
def test_weights_invalid_shape(self):
with pytest.raises(ValueError):
idw(self.x, self.y, weights=10)
def test_weights_negative(self):
with pytest.raises(ValueError):
idw(self.x, self.y, weights=-self.y)
def test_n_neighbors_one(self):
assert_allclose(self.f(0.5, n_neighbors=1), 0.48103656)
def test_n_neighbors_negative(self):
with pytest.raises(ValueError):
self.f(0.5, n_neighbors=-1)
def test_conf_dist_negative(self):
assert_allclose(self.f(0.5, conf_dist=-1),
self.f(0.5, conf_dist=None))
def test_dtype_none(self):
result = self.f(0.5, dtype=None)
assert result.dtype.type == np.float64
def test_positions_0d_nomatch(self):
"""test when position ndim doesn't match coordinates ndim"""
pos = np.random.rand(10, 2)
val = np.sin(pos[:, 0] + pos[:, 1])
f = idw(pos, val)
with pytest.raises(ValueError):
f(0.5)
def test_positions_1d_nomatch(self):
"""test when position ndim doesn't match coordinates ndim"""
pos = np.random.rand(10, 2)
val = np.sin(pos[:, 0] + pos[:, 1])
f = idw(pos, val)
with pytest.raises(ValueError):
f([0.5])
def test_positions_3d(self):
with pytest.raises(ValueError):
self.f(np.ones((3, 3, 3)))
class TestInterpolateMaskedData(object):
def setup_class(cls):
"""Ignore all deprecation warnings here."""
warnings.simplefilter('ignore', AstropyDeprecationWarning)
def teardown_class(cls):
warnings.resetwarnings()
def test_mask_shape(self):
with pytest.raises(ValueError):
interpolate_masked_data(DATA, WRONG_SHAPE)
def test_error_shape(self):
with pytest.raises(ValueError):
interpolate_masked_data(DATA, MASK, error=WRONG_SHAPE)
def test_background_shape(self):
with pytest.raises(ValueError):
interpolate_masked_data(DATA, MASK, background=WRONG_SHAPE)
def test_interpolation(self):
data2 = DATA.copy()
data2[2, 2] = 100.
error2 = ERROR.copy()
error2[2, 2] = 100.
background2 = BACKGROUND.copy()
background2[2, 2] = 100.
data, error, background = interpolate_masked_data(
data2, MASK, error=error2, background=background2)
assert_allclose(data, DATA)
assert_allclose(error, ERROR)
assert_allclose(background, BACKGROUND)
def test_interpolation_larger_mask(self):
data2 = DATA.copy()
data2[2, 2] = 100.
error2 = ERROR.copy()
error2[2, 2] = 100.
background2 = BACKGROUND.copy()
background2[2, 2] = 100.
mask2 = MASK.copy()
mask2[1:4, 1:4] = True
data, error, background = interpolate_masked_data(
data2, MASK, error=error2, background=background2)
assert_allclose(data, DATA)
assert_allclose(error, ERROR)
assert_allclose(background, BACKGROUND)
class TestMaskToMirroredNum(object):
def test_mask_to_mirrored_num(self):
"""
Test mask_to_mirrored_num.
"""
center = (1.5, 1.5)
data = np.arange(16).reshape(4, 4)
mask = np.zeros_like(data, dtype=bool)
mask[0, 0] = True
mask[1, 1] = True
data_ref = data.copy()
data_ref[0, 0] = data[3, 3]
data_ref[1, 1] = data[2, 2]
mirror_data = mask_to_mirrored_num(data, mask, center)
assert_allclose(mirror_data, data_ref, rtol=0, atol=1.e-6)
def test_mask_to_mirrored_num_range(self):
"""
Test mask_to_mirrored_num when mirrored pixels are outside of the
image.
"""
center = (2.5, 2.5)
data = np.arange(16).reshape(4, 4)
mask = np.zeros_like(data, dtype=bool)
mask[0, 0] = True
mask[1, 1] = True
data_ref = data.copy()
data_ref[0, 0] = 0.
data_ref[1, 1] = 0.
mirror_data = mask_to_mirrored_num(data, mask, center)
assert_allclose(mirror_data, data_ref, rtol=0, atol=1.e-6)
def test_mask_to_mirrored_num_masked(self):
"""
Test mask_to_mirrored_num when mirrored pixels are also masked.
"""
center = (0.5, 0.5)
data = np.arange(16).reshape(4, 4)
data[0, 0] = 100
mask = np.zeros_like(data, dtype=bool)
mask[0, 0] = True
mask[1, 1] = True
data_ref = data.copy()
data_ref[0, 0] = 0.
data_ref[1, 1] = 0.
mirror_data = mask_to_mirrored_num(data, mask, center)
assert_allclose(mirror_data, data_ref, rtol=0, atol=1.e-6)
def test_mask_to_mirrored_num_bbox(self):
"""
Test mask_to_mirrored_num with a bounding box.
"""
center = (1.5, 1.5)
data = np.arange(16).reshape(4, 4)
data[0, 0] = 100
mask = np.zeros_like(data, dtype=bool)
mask[0, 0] = True
mask[1, 1] = True
data_ref = data.copy()
data_ref[1, 1] = data[2, 2]
bbox = (1, 2, 1, 2)
mirror_data = mask_to_mirrored_num(data, mask, center, bbox=bbox)
assert_allclose(mirror_data, data_ref, rtol=0, atol=1.e-6)
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