open source driving agent
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import numpy as np
import os
def gen_chi2_ppf_lookup(max_dim=200):
from scipy.stats import chi2
table = np.zeros((max_dim, 98))
for dim in range(1,max_dim):
table[dim] = chi2.ppf(np.arange(.01, .99, .01), dim)
#outfile = open('chi2_lookup_table', 'w')
np.save('chi2_lookup_table', table)
def chi2_ppf(p, dim):
table = np.load(os.path.dirname(os.path.realpath(__file__)) + '/chi2_lookup_table.npy')
result = np.interp(p, np.arange(.01, .99, .01), table[dim])
return result
if __name__== "__main__":
gen_chi2_ppf_lookup()