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