pyodide/benchmark/benchmarks/arc_distance.py

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2018-04-05 22:07:33 +00:00
#setup: N = 10000 ; import numpy as np ; t0, p0, t1, p1 = np.random.randn(N), np.random.randn(N), np.random.randn(N), np.random.randn(N)
#run: arc_distance(t0, p0, t1, p1)
#pythran export arc_distance(float64 [], float64[], float64[], float64[])
import numpy as np
def arc_distance(theta_1, phi_1,
theta_2, phi_2):
"""
Calculates the pairwise arc distance between all points in vector a and b.
"""
temp = np.sin((theta_2-theta_1)/2)**2+np.cos(theta_1)*np.cos(theta_2)*np.sin((phi_2-phi_1)/2)**2
distance_matrix = 2 * (np.arctan2(np.sqrt(temp),np.sqrt(1-temp)))
return distance_matrix