class_docstr: Tests for the Tensor(ndarray) subclass
class_docstr_tok: ["Tests","for","the","Tensor","(","ndarray",")","subclass"]
docstr: Test the string representation is correct
docstr_tok: ["Test","the","string","representation","is","correct"]
code: def test_string_representation(self, capsys):
      """Test the string representation is correct"""
      x = np.tensor([0, 1, 2])
      print(x.__repr__())
      captured = capsys.readouterr()
      assert "tensor([0, 1, 2], requires_grad=True)" in captured.out
  
      x.requires_grad = False
      print(x.__repr__())
      captured = capsys.readouterr()
      assert "tensor([0, 1, 2], requires_grad=False)" in captured.out
  
imports: import numpy
  import pytest
  from autograd.numpy.numpy_boxes import ArrayBox
  import pennylane
  from pennylane import numpy
  from pennylane.numpy.tensor import tensor_to_arraybox
label_desc: Use image node_id 3 for calling the TestTensor obj's underlying member method code with example usage: obj.test_string_representation(capsys) without return types