def corr_func(p):
if co.x_correlation:
co.fill_neighs_x_correlation(p)
else:
co.fill_neighs(p)
tmp = co.co(p)
return tmp
def corr_func(healpixs):
"""Computes the correlation function.
To optimize the computation, first compute a list of neighbours for each of
the healpix. This is an auxiliar function to split the computational load
using several CPUs.
Args:
healpixs: array of ints
List of healpix numbers
Returns:
The correlation function data
"""
co.fill_neighs(healpixs)
correlation_function_data = co.compute_xi(healpixs)
return correlation_function_data