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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 _normal_function(x, mean, variance):
 """ Find a value in the cumulative distribution function of a normal curve. See https://en.wikipedia.org/wiki/Normal_distribution Args: x (float):
 Value to feed into the normal function mean (float):
 Mean of the normal function variance (float):
 Variance of the normal function Returns: float Example: 0.1784 """

    e_power = -1 * (((x - mean) ** 2) / (2 * variance))
    return (1 / math.sqrt(2 * variance * math.pi)) * (math.e ** e_power)