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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _accept(random_sample: float, cost_diff: float, temp: float) -> Tuple[bool, float]: """Calculates probability and draws if solution should be accepted. Based on exp(-Delta*E/T) formula. Args: random_sample: Uniformly distributed random number in the range [0, 1). cost_diff: Cost difference between new and previous solutions. temp: Current temperature. Returns: Tuple of boolean and float, with boolean equal to True if solution is accepted, and False otherwise. The float value is acceptance probability. """

    exponent = -cost_diff / temp
    if exponent >= 0.0:
        return True, 1.0
    else:
        probability = math.exp(exponent)
    return probability > random_sample, probability