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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 sqrt(inputArray, scale_min=None, scale_max=None):
 """Performs sqrt scaling of the input numpy array. @type inputArray: numpy array @param inputArray: image data array @type scale_min: float @param scale_min: minimum data value @type scale_max: float @param scale_max: maximum data value @rtype: numpy array @return: image data array """


    imageData = np.array(inputArray, copy=True)

    if scale_min is None:
        scale_min = imageData.min()
    if scale_max is None:
        scale_max = imageData.max()

    imageData = imageData.clip(min=scale_min, max=scale_max)
    imageData = imageData - scale_min
    indices = np.where(imageData < 0)
    imageData[indices] = 0.0
    imageData = np.sqrt(imageData)
    imageData = imageData / math.sqrt(scale_max - scale_min)

    return imageData