code: def test_bbce():
      x = torch.tensor([0, 0, 0, 0, 0]).float()
      y = torch.tensor([0, 1, 1, 1, 1]).float()
      loss = L.balanced_binary_cross_entropy_with_logits(
          x, y, gamma=1, reduction="none"
      )
      print(loss)
  
imports: import numpy
  import pytest
  import pytorch_toolbelt.losses.functional
  import torch
  from pytorch_toolbelt import losses
  from torch import nn
  from pytorch_toolbelt.losses import BinaryFocalLoss, CrossEntropyFocalLoss
label_desc: Use image node_id 14 for calling a global function with example usage: test_bbce() without return types