code: def _assert_if_space_for_first_padding_graph(
      graphs_tuple, graphs_tuple_padded_sizes
  ):
      """Checks if a given graph can fit in the provided padded shape.
  
      Args:
        graphs_tuple: A `graphs.GraphsTuple` that is checked for size.
        graphs_tuple_padded_sizes: A `GraphsTupleSize` with the sized to pad to.
  
      Returns:
        An assertion op indicating whether there is space for the padding graph.
      """
  
      # Padding graph needs to have at least one graph, and at least one node,
      # but should not need extra edges, so the number of padded nodes and graphs
      # needs to be strictly larger, than the input sizes, but it is ok if the
      # number of padded edges are equal to the number of input edges.
      graphs_tuple_sizes = get_graphs_tuple_size(graphs_tuple)
  
      all_fields_fit = [
          tf.less_equal(
              graphs_tuple_sizes.num_edges,
              graphs_tuple_padded_sizes.num_edges,
          ),
          tf.less(
              graphs_tuple_sizes.num_nodes,
              graphs_tuple_padded_sizes.num_nodes,
          ),
          tf.less(
              graphs_tuple_sizes.num_graphs,
              graphs_tuple_padded_sizes.num_graphs,
          ),
      ]
      all_fields_fit = functools.reduce(
          tf.math.logical_and, all_fields_fit
      )
  
      return tf.Assert(
          all_fields_fit,
          [
              "There is not enough space to pad the GraphsTuple "
              " with sizes (#nodes, #edges, #graphs):",
              graphs_tuple_sizes,
              " to padded sizes of :",
              graphs_tuple_padded_sizes,
              "`pad_edges_to` must be larger or equal to the maximum number of edges "
              "in any `GraphsTuple` and `pad_nodes_to`/`pad_graphs_to` must be "
              "strictly larger than the maximum number of nodes/graphs in any "
              "`GraphsTuple`.",
          ],
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import functools
  from absl import logging
  from graph_nets import graphs
  from graph_nets import utils_np
  import six
  from six.moves import range
  import tensorflow
  import tree
label_desc: Use image node_id 32 for calling a global function with example usage: _assert_if_space_for_first_padding_graph(graphs_tuple, graphs_tuple_padded_sizes) and returns: tf