code: def _mock_agent_counts_dict():
      return {0: 1}
  
file_path: maze/docs/test/policy_and_value_networks/test_complex_models.py
imports: import torch
  import yaml
  from gym import spaces
  import docs.source.policy_and_value_networks.code_snippets
  from docs.source.policy_and_value_networks.code_snippets.custom_complex_critic_net import CustomComplexCriticNet
  from docs.source.policy_and_value_networks.code_snippets.custom_complex_policy_net import CustomComplexPolicyNet
  from maze.core.utils.factory import Factory
  from maze.core.utils.structured_env_utils import flat_structured_space
  from maze.distributions.distribution_mapper import DistributionMapper
  from maze.perception.models.model_composer import BaseModelComposer
  from maze.perception.perception_utils import observation_spaces_to_in_shapes
label_desc: Use image node_id 3 for calling a global function with example usage: _mock_agent_counts_dict() and returns: dict