class_docstr: Tests the flatten and unflatten functions
class_docstr_tok: ["Tests","the","flatten","and","unflatten","functions"]
docstr: Tests that unflatten raises an error if the given iterable has
  more elements than the model
docstr_tok: ["Tests","that","unflatten","raises","an","error","if","the","given","iterable","has","more","elements","than","the","model"]
code: def test_unflatten_error_too_many_elements(self):
      """Tests that unflatten raises an error if the given iterable has
      more elements than the model"""
  
      reshaped = np.reshape(flat_dummy_array, (16, 2, 2))
  
      with pytest.raises(
          ValueError,
          match="Flattened iterable has more elements than the model",
      ):
          pu.unflatten(
              np.concatenate([flat_dummy_array, flat_dummy_array]),
              reshaped,
          )
  
imports: import functools
  import itertools
  import pytest
  import numpy
  import pennylane
  import pennylane.utils
label_desc: Use image node_id 4 for calling the TestFlatten obj's underlying member method code with example usage: obj.test_unflatten_error_too_many_elements() without return types