code: def map_coordinates(
      input, coordinates, order, fill_mode="constant", fill_value=0.0
  ):
      if fill_mode not in MAP_COORDINATES_FILL_MODES:
          raise ValueError(
              "Invalid value for argument `fill_mode`. Expected one of "
              f"{set(MAP_COORDINATES_FILL_MODES)}. Received: "
              f"fill_mode={fill_mode}"
          )
      if order not in range(2):
          raise ValueError(
              "Invalid value for argument `order`. Expected one of "
              f"{[0, 1]}. Received: order={order}"
          )
      return jax.scipy.ndimage.map_coordinates(
          input, coordinates, order, fill_mode, fill_value
      )
  
imports: import functools
  import jax
  import jax.numpy
  from keras.backend.jax.core import convert_to_tensor
label_desc: Use image node_id 3 for calling a global function with example usage: map_coordinates(input, coordinates, order, fill_mode, fill_value) and returns: jax