def test_speed_matchVisitComputeDistance(n=5000):
# Explicitly convert n to int to ensure consistent behavior in indexing and numpy
n = int(n)
visits = np.arange(2*n)
np.random.shuffle(visits)
visit_obj1 = visits[:n]
np.random.shuffle(visits)
visit_obj2 = visits[:n]
mu, sigma = 0, 3e-4 # mean 0, ~1 arcsec width
mean_ra = 10 # degrees
mean_dec = 20 # degrees
ra_obj1 = mean_ra + np.random.normal(mu, sigma, n) * np.cos(np.deg2rad(mean_dec))
ra_obj2 = mean_ra + np.random.normal(mu, sigma, n) * np.cos(np.deg2rad(mean_dec))
dec_obj1 = mean_dec + np.random.normal(mu, sigma, n)
dec_obj2 = mean_dec + np.random.normal(mu, sigma, n)
matchVisitComputeDistance(visit_obj1, ra_obj1, dec_obj1,
visit_obj2, ra_obj2, dec_obj2)
def test_missing_matchVisitComputeDistance():
visit_obj1 = [1, 2, 3, 4]
visit_obj2 = [4, 1]
ra_obj1 = np.deg2rad(np.array([10.0010, 10.0005, 10.0000, 10.0005]))
ra_obj2 = np.deg2rad(np.array([10.0006, 10.0008]))
dec_obj1 = np.deg2rad(np.array([20.001, 20.006, 20.002, 20.004]))
dec_obj2 = np.deg2rad(np.array([20.003, 20.010]))
exp = [1.75301e-05, 0.0001571138]
obs = matchVisitComputeDistance(visit_obj1, ra_obj1, dec_obj1,
visit_obj2, ra_obj2, dec_obj2)
# matchVisitComputeDistance doesn't preserve order
# Sort to compare
exp = np.sort(exp)
obs = np.sort(obs)
assert_allclose(exp, obs, atol=1e-7) # 1e-7 rad == 5.73e-6 deg == 0.00036 arcsec