code: def min_pool(inputs, window_shape, strides=None, padding="VALID"):
      """Pools the input by taking the minimum of a window slice.
  
      Args:
        inputs: Input data with dimensions (batch, window dims..., features).
        window_shape: A shape tuple defining the window to reduce over.
        strides: A sequence of ``n`` integers, representing the inter-window strides
          (default: ``(1, ..., 1)``).
        padding: Either the string ``'SAME'``, the string ``'VALID'``, or a sequence of
          ``n`` ``(low, high)`` integer pairs that give the padding to apply before and
          after each spatial dimension (default: ``'VALID'``).
  
      Returns:
        The minimum for each window slice.
      """
      return pool(
          inputs, jnp.inf, lax.min, window_shape, strides, padding
      )
  
imports: import jax.numpy
  import numpy
  from jax import lax
label_desc: Use image node_id 4 for calling a global function with example usage: min_pool(inputs, window_shape, strides, padding) and returns: pool