code: def test_numpy_pandas(cast_tensor_columns):
      input_data = np.array([1, 2, 3])
      expected_output = pd.DataFrame({TENSOR_COLUMN_NAME: input_data})
      actual_output = _convert_batch_type_to_pandas(
          input_data, cast_tensor_columns
      )
      pd.testing.assert_frame_equal(expected_output, actual_output)
  
      output_array = _convert_pandas_to_batch_type(
          actual_output,
          type=BatchFormat.NUMPY,
          cast_tensor_columns=cast_tensor_columns,
      )
      np.testing.assert_equal(output_array, input_data)
  
imports: import pytest
  import warnings
  import pandas
  import numpy
  import pyarrow
  from ray.air._internal.torch_utils import convert_ndarray_to_torch_tensor
  from ray.air.constants import TENSOR_COLUMN_NAME
  from ray.air.util.data_batch_conversion import _convert_batch_type_to_pandas, _convert_pandas_to_batch_type, _convert_batch_type_to_numpy, _cast_ndarray_columns_to_tensor_extension, _cast_tensor_columns_to_ndarrays
  from ray.air.util.data_batch_conversion import BatchFormat
  from ray.air.util.tensor_extensions.pandas import TensorArray
  from ray.air.util.tensor_extensions.arrow import ArrowTensorArray
label_desc: Use image node_id 7 for calling a global function with example usage: test_numpy_pandas(cast_tensor_columns) without return types