code: def test_output_as_mapping_without_criterion_kwargs():
      y_pred = torch.tensor([[2.0], [-2.0]])
      y = torch.zeros(2)
      criterion_kwargs = {}
  
      loss_metric = DummyLoss1(
          nll_loss, true_output=(y_pred, y, criterion_kwargs)
      )
      state = State(
          output=({"y_pred": y_pred, "y": y, "criterion_kwargs": {}})
      )
      engine = MagicMock(state=state)
      loss_metric.iteration_completed(engine)
  
imports: import os
  from unittest.mock import MagicMock
  import pytest
  import torch
  from numpy.testing import assert_almost_equal
  from torch import nn
  from torch.nn.functional import nll_loss
  import ignite.distributed
  from ignite.engine import State
  from ignite.exceptions import NotComputableError
  from ignite.metrics import Loss, Precision
label_desc: Use image node_id 1 for calling a global function with example usage: test_output_as_mapping_without_criterion_kwargs() without return types