def test_known1(self):
"""
Test for known value.
"""
with pytest.warns(exceptions.PhysicsWarning, match="strong coupling effects"):
methodVal = collision_frequency(
self.T,
self.n,
self.particles,
z_mean=np.nan * u.dimensionless_unscaled,
V=np.nan * u.m / u.s,
method="classical",
)
testTrue = np.isclose(self.True1, methodVal.si.value, rtol=1e-1, atol=0.0)
errStr = f"Collision frequency should be {self.True1} and " f"not {methodVal}."
assert testTrue, errStr
def test_zmean(self):
"""
Test collisional frequency function when given arbitrary z_mean.
"""
with pytest.warns(exceptions.PhysicsWarning, match="strong coupling effects"):
methodVal = collision_frequency(
self.T,
self.n,
self.particles,
z_mean=self.z_mean,
V=np.nan * u.m / u.s,
method="classical",
)
testTrue = np.isclose(self.True_zmean, methodVal.si.value, rtol=1e-1, atol=0.0)
errStr = (
f"Collision frequency should be {self.True_zmean} and " f"not {methodVal}."
)
assert testTrue, errStr
def test_fail1(self):
"""
Tests if test_known1() would fail if we slightly adjusted the
value comparison by some quantity close to numerical error.
"""
fail1 = self.True1 * (1 + 1e-15)
with pytest.warns(exceptions.PhysicsWarning, match="strong coupling effects"):
methodVal = collision_frequency(
self.T,
self.n,
self.particles,
z_mean=np.nan * u.dimensionless_unscaled,
V=np.nan * u.m / u.s,
method="classical",
)
testTrue = not np.isclose(methodVal.si.value, fail1, rtol=1e-16, atol=0.0)
errStr = (
f"Collision frequency value test gives {methodVal} and "
f"should not be equal to {fail1}."
)
assert testTrue, errStr
def test_symmetry(self):
with pytest.warns(CouplingWarning):
result = collision_frequency(self.T, self.n, self.particles)
resultRev = collision_frequency(self.T, self.n, self.particles[::-1])
assert result == resultRev