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Testing module with Corrfunc for halotools
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#!/usr/bin/env python | |
# -*- coding: utf-8 -*- | |
from __future__ import (division, print_function, absolute_import, | |
unicode_literals) | |
import numpy as np | |
from Corrfunc._countpairs import countpairs_wp as wp | |
from Corrfunc._countpairs import countpairs_xi as xi | |
def string_replace(string, old, new): | |
from sys import version_info | |
if version_info[0] < 3: | |
return string.decode("utf-8").replace(old, new) | |
else: | |
return string.replace(old, new) | |
def main(): | |
data_files = ["sample1_position_array.npy", "sample2_position_array.npy"] | |
first_three = [np.array([21.92387009, 24.82151985, 24.42320061]), | |
np.array([8.32623005, 23.28944016, 16.8574295])] | |
last_three = [np.array([223.17524719, 238.28190613, 115.92366028]), | |
np.array([229.25822449, 233.86260986, 129.75932312])] | |
rbins = np.load("rp_bins_array.npy") | |
with open('binfile', 'w') as f: | |
for i in range(len(rbins)-1): | |
f.write("{0} {1}\n".format(rbins[i], rbins[i+1])) | |
nthreads = 4 | |
boxsize = 250.0 | |
pimax = 40.0 | |
for first, last, f in zip(first_three, last_three, data_files): | |
arr = np.load(f) | |
assert np.allclose(arr[0, :], first) | |
assert np.allclose(arr[-1, :], last) | |
x1 = arr[:, 0] | |
y1 = arr[:, 1] | |
z1 = arr[:, 2] | |
my_wp = wp(boxsize, pimax, nthreads, 'binfile', x1, y1, z1) | |
# my_wp is a list of lists with form [[rmin, rmax, rpavg, wp, npairs]] | |
# for each bin in the 'binfile'. item[-2] selects wp, and | |
# item[-1] selects npairs. | |
wp_array = np.array([[item[-2], np.int64(item[-1])] for item in my_wp]) | |
print("wp_array = \n{0}".format(wp_array)) | |
# create a consistent numpy saved filename from the input data file | |
npy_save_fname = string_replace(f, "array", "array_wp") | |
np.save(npy_save_fname, wp_array) | |
my_xi = xi(boxsize, nthreads, 'binfile', x1, y1, z1) | |
# my_xi is a list of lists with form [[rmin, rmax, ravg, xi, npairs]] | |
# for each bin in the binfile. item[-2] selects xi, and | |
# item[-1] selects npairs. | |
xi_array = np.array([[item[-2], np.int64(item[-1])] for item in my_xi]) | |
print("xi_array = \n{0}".format(xi_array)) | |
# create a consistent numpy saved filename from the input data file | |
npy_save_fname = string_replace(f, "array", "array_xi") | |
np.save(npy_save_fname, xi_array) | |
if __name__ == '__main__': | |
main() |
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