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from functools import partial
from astropy.coordinates.matrix_utilities import (
rotation_matrix as rotation_matrix_astropy,
)
from hypothesis import given, settings, strategies as st
import numpy as np
from numpy.testing import assert_allclose, assert_array_equal
import pytest
from boinor.core.util import (
alinspace,
cartesian_to_spherical,
rotation_matrix as rotation_matrix_boinor,
spherical_to_cartesian,
)
def _test_rotation_matrix_with_v(v, angle, axis):
exp = rotation_matrix_astropy(np.degrees(-angle), "xyz"[axis]) @ v
res = rotation_matrix_boinor(angle, axis) @ v
assert_allclose(exp, res)
def _test_rotation_matrix(angle, axis):
expected = rotation_matrix_astropy(-np.rad2deg(angle), "xyz"[axis])
result = rotation_matrix_boinor(angle, axis)
assert_allclose(expected, result)
def test_rotation_matrix():
v = np.array([-0.30387748, -1.4202498, 0.24305655])
for angle in (0.5, np.array([-np.pi, np.pi])):
for axis in (0, 1, 2):
_test_rotation_matrix_with_v(v, angle, axis)
# These tests are adapted from astropy:
# https://github.com/astropy/astropy/blob/main/astropy/coordinates/tests/test_matrix_utilities.py
def test_rotation_matrix_astropy():
assert_array_equal(rotation_matrix_boinor(0, 0), np.eye(3))
assert_allclose(
rotation_matrix_boinor(np.deg2rad(-90), 1),
[[0, 0, -1], [0, 1, 0], [1, 0, 0]],
atol=1e-12,
)
assert_allclose(
rotation_matrix_boinor(np.deg2rad(90), 2),
[[0, -1, 0], [1, 0, 0], [0, 0, 1]],
atol=1e-12,
)
# make sure it also works for very small angles
assert_allclose(
rotation_matrix_astropy(-0.000001, "x"),
rotation_matrix_boinor(np.deg2rad(0.000001), 0),
)
def test_rotation_matrix_x():
_test_rotation_matrix(0.218, 0)
def test_rotation_matrix_y():
_test_rotation_matrix(0.218, 1)
def test_rotation_matrix_z():
_test_rotation_matrix(0.218, 2)
# TODO: according to poliastro PR#1365 this test could be better done with Hypothesis
@pytest.mark.parametrize(
"sph, car",
[
(
np.array([0.5, np.pi / 4, -np.pi / 4]),
np.array([0.25, -0.25, 0.35355339]),
),
(
np.array([0.5, -np.pi / 4, np.pi / 4]),
np.array([-0.25, -0.25, 0.35355339]),
),
(
np.array(
[[0.5, np.pi / 4, -np.pi / 4], [0.5, -np.pi / 4, np.pi / 4]]
),
np.array([[0.25, -0.25, 0.35355339], [-0.25, -0.25, 0.35355339]]),
),
(
np.array([2.60564963, 1.75305207, 4.4458828]),
np.array([-0.674864797187, -2.472029259161, -0.472269863940]),
),
],
)
def test_spherical_to_cartesian(sph, car):
result = spherical_to_cartesian(sph)
assert np.allclose(car, result)
result = cartesian_to_spherical(result)
expect = cartesian_to_spherical(car)
assert np.allclose(result, expect)
result = spherical_to_cartesian(cartesian_to_spherical(car))
assert np.allclose(car, result)
angles = partial(st.floats, min_value=-2 * np.pi, max_value=2 * np.pi)
@settings(deadline=None)
@given(
x=angles(),
y=st.one_of(angles(), st.none()),
)
def test_alinspace_is_always_increasing(x, y):
result = alinspace(x, y)
assert (np.diff(result) >= 0).all()
@settings(deadline=None)
@given(
x=st.floats(min_value=-np.pi, max_value=np.pi),
y=st.one_of(st.floats(min_value=-np.pi, max_value=np.pi), st.none()),
)
def test_alinspace_is_always_increasing_with_angles_inside_anomaly_range(x, y):
result = alinspace(x, y)
assert (np.diff(result) >= 0).all()
@settings(deadline=None)
@given(x=angles())
def test_alinspace_no_max_value_uses_full_circle(x):
result = alinspace(x)
assert result.max() - result.min() == pytest.approx(2 * np.pi)
|
