code: def test_base_output_handler_setup_output_state_attrs():
      engine = Engine(lambda engine, batch: None)
      true_metrics = {"a": 0, "b": 1}
      engine.state = State(metrics=true_metrics)
      engine.state.alpha = 3.899
      engine.state.beta = torch.tensor(5.499)
      engine.state.gamma = torch.tensor([2106.0, 6.0])
      engine.state.output = 12345
  
      # Only State Attributes
      handler = DummyOutputHandler(
          tag="tag",
          metric_names=None,
          output_transform=None,
          state_attributes=["alpha", "beta", "gamma"],
      )
      state_attrs = handler._setup_output_metrics_state_attrs(
          engine=engine, key_tuple=False
      )
      assert state_attrs == {
          "tag/alpha": 3.899,
          "tag/beta": torch.tensor(5.499),
          "tag/gamma/0": 2106.0,
          "tag/gamma/1": 6.0,
      }
  
      # Metrics and Attributes
      handler = DummyOutputHandler(
          tag="tag",
          metric_names=["a", "b"],
          output_transform=None,
          state_attributes=["alpha", "beta", "gamma"],
      )
      state_attrs = handler._setup_output_metrics_state_attrs(
          engine=engine, key_tuple=False
      )
      assert state_attrs == {
          "tag/a": 0,
          "tag/b": 1,
          "tag/alpha": 3.899,
          "tag/beta": torch.tensor(5.499),
          "tag/gamma/0": 2106.0,
          "tag/gamma/1": 6.0,
      }
  
      # Metrics, Attributes and output
      handler = DummyOutputHandler(
          tag="tag",
          metric_names="all",
          output_transform=lambda x: {"loss": x},
          state_attributes=["alpha", "beta", "gamma"],
      )
      state_attrs = handler._setup_output_metrics_state_attrs(
          engine=engine, key_tuple=False
      )
      assert state_attrs == {
          "tag/a": 0,
          "tag/b": 1,
          "tag/alpha": 3.899,
          "tag/beta": torch.tensor(5.499),
          "tag/gamma/0": 2106.0,
          "tag/gamma/1": 6.0,
          "tag/loss": engine.state.output,
      }
  
imports: from typing import Any, Union
  from unittest.mock import call, MagicMock
  import pytest
  import torch
  from ignite.contrib.handlers.base_logger import BaseLogger, BaseOptimizerParamsHandler, BaseOutputHandler, BaseWeightsHandler, BaseWeightsScalarHandler
  from ignite.engine import Engine, Events, EventsList, State
  from tests.ignite.contrib.handlers import MockFP16DeepSpeedZeroOptimizer
label_desc: Use image node_id 3 for calling a global function with example usage: test_base_output_handler_setup_output_state_attrs() without return types