def test_delta_t_hist():
"""Test histogram of all time lags."""
times, values, errors = irregular_random(500)
delta_ts = [pair[1] - pair[0] for pair in itertools.combinations(times, 2)]
nbins = 50
bins = np.linspace(0, max(times) - min(times), nbins + 1)
npt.assert_allclose(cf.delta_t_hist(times, nbins),
np.histogram(delta_ts, bins=bins)[0], atol=2)
def test_delta_t_hist():
"""Test histogram of all time lags."""
times, values, errors = irregular_random(500)
delta_ts = [pair[1] - pair[0] for pair in itertools.combinations(times, 2)]
nbins = 50
bins = np.linspace(0, max(times) - min(times), nbins + 1)
npt.assert_allclose(cf.delta_t_hist(times, nbins),
np.histogram(delta_ts, bins=bins)[0],
atol=2)
def test_normalize_hist():
"""Test normalization of histogram."""
times, values, errors = irregular_random(500)
delta_ts = [pair[1] - pair[0] for pair in itertools.combinations(times, 2)]
nbins = 50
bins = np.linspace(0, max(times) - min(times), nbins + 1)
nhist = cf.normalize_hist(cf.delta_t_hist(times, nbins),
max(times) - min(times))
npt.assert_allclose(nhist, np.histogram(delta_ts, bins=bins,
density=True)[0], atol=0.01)
def test_normalize_hist():
"""Test normalization of histogram."""
times, values, errors = irregular_random(500)
delta_ts = [pair[1] - pair[0] for pair in itertools.combinations(times, 2)]
nbins = 50
bins = np.linspace(0, max(times) - min(times), nbins + 1)
nhist = cf.normalize_hist(cf.delta_t_hist(times, nbins),
max(times) - min(times))
npt.assert_allclose(nhist,
np.histogram(delta_ts, bins=bins, density=True)[0],
atol=0.01)
