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import sys
from io import StringIO
from unittest import mock
import astropy.units as u
import numpy as np
import pytest
from numpy.testing import assert_allclose
from einsteinpy.coordinates import (
BoyerLindquistDifferential,
CartesianDifferential,
SphericalDifferential
)
from einsteinpy.metric import BaseMetric, Kerr, Schwarzschild
from einsteinpy import constant
from einsteinpy.utils import CoordinateError
_c = constant.c.value
@pytest.fixture()
def cartesian_differential():
return CartesianDifferential(
1e3 * u.s,
10e3 / np.sqrt(2) * u.m,
10e3 / np.sqrt(2) * u.m,
0 * u.m,
-190e3 / np.sqrt(2) * u.m / u.s,
210e3 / np.sqrt(2) * u.m / u.s,
200e3 * u.m / u.s
)
@pytest.fixture()
def spherical_differential():
return SphericalDifferential(
1e3 * u.s,
10e3 * u.m,
1.5707963267948966 * u.rad,
0.7853981633974483 * u.rad,
10e3 * u.m / u.s,
-20.0 * u.rad / u.s,
20.0 * u.rad / u.s
)
@pytest.fixture()
def bl_differential():
return BoyerLindquistDifferential(
1e3 * u.s,
10e3 * u.m,
1.5707963267948966 * u.rad,
0.7853981633974483 * u.rad,
10e3 * u.m / u.s,
-20.0 * u.rad / u.s,
20.0 * u.rad / u.s
)
@pytest.fixture()
def bl_differential2():
return BoyerLindquistDifferential(
1e3 * u.s,
4e3 * u.m,
2 * u.rad,
1 * u.rad,
-100 * u.m / u.s,
-1 * u.rad / u.s,
0.17453292519943295 * u.rad / u.s
)
def test_CartesianToSphericalDifferential(
cartesian_differential, spherical_differential
):
to_spherical_differential = cartesian_differential.spherical_differential()
assert_allclose(
to_spherical_differential.values(),
spherical_differential.values(),
rtol=0.0,
atol=1e-6,
)
def test_CartesianToBoyerLindquistDifferential(cartesian_differential, bl_differential):
M = 1e24 * u.kg
a = 0.75 * u.one
to_bl_differential = cartesian_differential.bl_differential(M=M, a=a)
assert_allclose(
to_bl_differential.values(), bl_differential.values(), rtol=0.0, atol=1e-6
)
def test_SphericalToCartesianDifferential(
spherical_differential, cartesian_differential
):
to_cartesian_differential = spherical_differential.cartesian_differential()
assert_allclose(
to_cartesian_differential.values(),
cartesian_differential.values(),
rtol=0.0,
atol=1e-6,
)
def test_SphericalToBoyerLindquistDifferential(spherical_differential, bl_differential):
M = 1e24 * u.kg
a = 0.75 * u.one
to_bl_differential = spherical_differential.bl_differential(M=M, a=a)
assert_allclose(
to_bl_differential.values(), bl_differential.values(), rtol=0.0, atol=1e-6
)
def test_BoyerLindquistToCartesianDifferential(bl_differential, cartesian_differential):
M = 1e24 * u.kg
a = 0.75 * u.one
to_cartesian_differential = bl_differential.cartesian_differential(M=M, a=a)
assert_allclose(
to_cartesian_differential.values(),
cartesian_differential.values(),
rtol=0.0,
atol=1e-6,
)
def test_BoyerLindquistToSphericalDifferential(bl_differential, spherical_differential):
M = 1e24 * u.kg
a = 0.75 * u.one
to_spherical_differential = bl_differential.spherical_differential(M=M, a=a)
assert_allclose(
to_spherical_differential.values(),
spherical_differential.values(),
rtol=0.0,
atol=1e-6,
)
def test_cycle_BLSphericalDifferential(bl_differential2):
M = 1e24 * u.kg
a = 0.75 * u.one
bl_diff = bl_differential2
sph_diff = bl_diff.spherical_differential(M=M, a=a)
bl_diff2 = sph_diff.bl_differential(M=M, a=a)
assert_allclose(bl_diff2.values(), bl_diff.values(), rtol=0.0, atol=1e-6)
def test_cycle_BLCartesianDifferential(bl_differential2):
M = 1e24 * u.kg
a = 0.75 * u.one
bl_diff = bl_differential2
cart_diff = bl_diff.cartesian_differential(M=M, a=a)
bl_diff2 = cart_diff.bl_differential(M=M, a=a)
assert_allclose(bl_diff2.values(), bl_diff.values(), rtol=0.0, atol=1e-6)
# Tests for object.__str__ and object.__repr__
@mock.patch("sys.stdout", new_callable=StringIO)
def test_str_diff_objects(
mock_stdout, cartesian_differential, spherical_differential, bl_differential
):
print(str(cartesian_differential))
assert "object at 0x" not in mock_stdout.getvalue()
print(str(spherical_differential))
assert "object at 0x" not in mock_stdout.getvalue()
print(str(bl_differential))
assert "object at 0x" not in mock_stdout.getvalue()
@mock.patch("sys.stdout", new_callable=StringIO)
def test_repr_diff_objects(
mock_stdout, cartesian_differential, spherical_differential, bl_differential
):
print(repr(cartesian_differential))
assert "object at 0x" not in mock_stdout.getvalue()
print(repr(spherical_differential))
assert "object at 0x" not in mock_stdout.getvalue()
print(repr(bl_differential))
assert "object at 0x" not in mock_stdout.getvalue()
def test_position(cartesian_differential, spherical_differential, bl_differential):
cart_pos = [_c * 1e3, 10e3 / np.sqrt(2), 10e3 / np.sqrt(2), 0]
sph_pos = [_c * 1e3, 10e3, 1.5707963267948966, 0.7853981633974483]
bl_pos = [_c * 1e3, 10e3, 1.5707963267948966, 0.7853981633974483]
assert_allclose(cartesian_differential.position(), cart_pos)
assert_allclose(spherical_differential.position(), sph_pos)
assert_allclose(bl_differential.position(), bl_pos)
# Tests for object.velocity()
def test_velocity(spherical_differential, bl_differential):
M = 1e24 * u.kg
a = 0. * u.one
ms = Schwarzschild(coords=spherical_differential, M=M)
mk = Kerr(coords=bl_differential, M=M, a=a)
def with_numpy_array(differential_obj, metric):
assert_allclose(
differential_obj.values()[4:],
differential_obj.velocity(metric=metric)[1:],
1e-10,
1e-15,
)
with_numpy_array(spherical_differential, ms)
with_numpy_array(bl_differential, mk)
def test_velocity2(spherical_differential, bl_differential):
M = 1e24 * u.kg
a = 0. * u.one
ms = Schwarzschild(coords=spherical_differential, M=M)
mk = Kerr(coords=bl_differential, M=M, a=a)
sd, bd = spherical_differential, bl_differential
assert_allclose(sd.velocity(metric=ms)[1:], [sd.v_r.value, sd.v_th.value, sd.v_p.value])
assert_allclose(bd.velocity(metric=mk)[1:], [bd.v_r.value, bd.v_th.value, bd.v_p.value])
def test_v_t_raises_CoordinateError(cartesian_differential, spherical_differential, bl_differential):
M = 1e24 * u.kg
a = 0. * u.one
ms = Schwarzschild(coords=spherical_differential, M=M)
mk = Kerr(coords=bl_differential, M=M, a=a)
cd, sd, bd = cartesian_differential, spherical_differential, bl_differential
def cd_s(cd, ms):
return cd.velocity(metric=ms)
def bd_s(bd, ms):
return bd.velocity(metric=ms)
def cd_k(cd, mk):
return cd.velocity(metric=mk)
def sd_k(sd, mk):
return sd.velocity(metric=mk)
with pytest.raises(CoordinateError):
cd_s(cd, ms)
with pytest.raises(CoordinateError):
bd_s(bd, ms)
with pytest.raises(CoordinateError):
cd_k(cd, mk)
with pytest.raises(CoordinateError):
sd_k(sd, mk)
def test_v_t_getter_setter0(cartesian_differential, spherical_differential, bl_differential):
M = 1e24 * u.kg
a = 0. * u.one
ms = Schwarzschild(coords=spherical_differential, M=M)
mk = Kerr(coords=bl_differential, M=M, a=a)
def cd_vt(cartesian_differential, ms):
cartesian_differential.v_t = (ms,)
def sd_vt(spherical_differential, mk):
spherical_differential.v_t = (mk,)
# This should not raise CoordinateError
try:
spherical_differential.v_t = (ms,)
except CoordinateError:
pytest.fail("Unexpected TypeError!")
# These 2 should raise CoordinateError
with pytest.raises(CoordinateError):
cd_vt(cartesian_differential, ms)
with pytest.raises(CoordinateError):
sd_vt(spherical_differential, mk)
def test_v_t_getter_setter1(cartesian_differential, spherical_differential, bl_differential):
M = 1e24 * u.kg
a = 0. * u.one
ms = Schwarzschild(coords=spherical_differential, M=M)
mk = Kerr(coords=bl_differential, M=M, a=a)
def bd_vt(bl_differential, ms):
bl_differential.v_t = (ms,)
# This should not raise CoordinateError
try:
bl_differential.v_t = (mk,)
except CoordinateError:
pytest.fail("Unexpected TypeError!")
# This should raise TypeError
with pytest.raises(CoordinateError):
bd_vt(bl_differential, ms)
def test_cartesian_differential_v_t(cartesian_differential):
"""
Tests v_t for CartesianDifferential specifically
"""
# Defining Minkowski Metric
def metric_covariant(x_vec):
g = np.zeros((4, 4))
g[0, 0] = 1
g[1, 1] = g[2, 2] = g[3, 3] = -1
return g
mink = BaseMetric(
coords=cartesian_differential,
M=1e24 * u.kg,
a=0 * u.one,
Q=0 * u.C,
name="Minkowski Metric",
metric_cov=metric_covariant
)
v4 = cartesian_differential.velocity(mink)
assert_allclose(v4 @ mink.metric_covariant(np.ones(4)) @ v4, _c ** 2, rtol=1e-8)
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