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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 read_img(path):
 """ Reads image specified by path into numpy.ndarray"""

    img = cv2.resize(cv2.imread(path, 0), (80, 30)).astype(np.float32) / 255
    img = np.expand_dims(img.transpose(1, 0), 0)
    return img