open source driving agent
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import numpy as np
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IDX_N = 33
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def index_function(idx, max_val=192):
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return (max_val/1024)*(idx**2)
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T_IDXS = np.array([index_function(idx, max_val=10.0) for idx in range(IDX_N)], dtype=np.float64)
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