code: def test_array_require_grad_with_backprop_id():
      array = chainerx.array([1, 1, 1], chainerx.float32)
  
      with chainerx.backprop_scope("bp1") as bp1:
          assert not array.is_backprop_required(bp1)
          array.require_grad(bp1)
          assert array.is_grad_required(bp1)
          assert array.is_backprop_required(bp1)
  
          # Repeated calls should not fail, but do nothing
          array.require_grad(bp1)
          assert array.is_grad_required(bp1)
          assert array.is_backprop_required(bp1)
  
      # keyword arguments
      with chainerx.backprop_scope("bp2") as bp2:
          assert not array.is_backprop_required(backprop_id=bp2)
          array.require_grad(backprop_id=bp2)
          assert array.is_grad_required(bp2)
          assert array.is_grad_required(backprop_id=bp2)
          assert array.is_backprop_required(bp2)
          assert array.is_backprop_required(backprop_id=bp2)
  
          # Repeated calls should not fail, but do nothing
          array.require_grad(backprop_id=bp2)
          assert array.is_grad_required(backprop_id=bp2)
          assert array.is_backprop_required(backprop_id=bp2)
  
imports: import copy
  import math
  import pickle
  import numpy
  import pytest
  import chainerx
  import chainerx.testing
  from chainerx_tests import array_utils
label_desc: Use image node_id 20 for calling a global function with example usage: test_array_require_grad_with_backprop_id() without return types