code: def test_flatten_with_scalar_channels(self):
      inputs = np.random.random((10,)).astype("float32")
      expected_output = ops.convert_to_tensor(
          np.expand_dims(inputs, -1)
      )
  
      # Test default data_format and channels_last
      self.run_layer_test(
          layers.Flatten,
          init_kwargs={},
          input_data=inputs,
          expected_output=expected_output,
      )
      self.run_layer_test(
          layers.Flatten,
          init_kwargs={"data_format": "channels_last"},
          input_data=inputs,
          expected_output=expected_output,
      )
  
      # Test channels_first
      self.run_layer_test(
          layers.Flatten,
          init_kwargs={"data_format": "channels_first"},
          input_data=inputs,
          expected_output=expected_output,
      )
  
file_path: keras/keras/layers/reshaping/flatten_test.py
imports: import numpy
  import pytest
  from absl.testing import parameterized
  from keras import backend
  from keras import layers
  from keras import ops
  from keras import testing
label_desc: Use image node_id 2 for calling the FlattenTest obj's underlying member method code with example usage: obj.test_flatten_with_scalar_channels() without return types