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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 bbox_rotate(bbox, angle, rows, cols, interpolation):
 """Rotates a bounding box by angle degrees Args: bbox (tuple):
 A tuple (x_min, y_min, x_max, y_max). angle (int):
 Angle of rotation in degrees rows (int):
 Image rows. cols (int):
 Image cols. interpolation (int):
 interpolation method. return a tuple (x_min, y_min, x_max, y_max) """

    scale = cols / float(rows)
    x = np.array([bbox[0], bbox[2], bbox[2], bbox[0]])
    y = np.array([bbox[1], bbox[1], bbox[3], bbox[3]])
    x = x - 0.5
    y = y - 0.5
    angle = np.deg2rad(angle)
    x_t = (np.cos(angle) * x * scale + np.sin(angle) * y) / scale
    y_t = (-np.sin(angle) * x * scale + np.cos(angle) * y)
    x_t = x_t + 0.5
    y_t = y_t + 0.5
    return [min(x_t), min(y_t), max(x_t), max(y_t)]