code: def test_pandas_roundtrip(uint, int, float, np_float):
      if Version(pd.__version__) < Version("1.5.0"):
          pytest.skip("__dataframe__ added to pandas in 1.5.0")
  
      arr = [1, 2, 3]
      table = pa.table(
          {
              "a": pa.array(arr, type=uint),
              "b": pa.array(arr, type=int),
              "c": pa.array(np.array(arr, dtype=np_float), type=float),
              "d": [True, False, True],
          }
      )
      from pandas.api.interchange import (
          from_dataframe as pandas_from_dataframe,
      )
  
      pandas_df = pandas_from_dataframe(table)
      result = pi.from_dataframe(pandas_df)
      assert table.equals(result)
  
      table_protocol = table.__dataframe__()
      result_protocol = result.__dataframe__()
  
      assert (
          table_protocol.num_columns() == result_protocol.num_columns()
      )
      assert table_protocol.num_rows() == result_protocol.num_rows()
      assert table_protocol.num_chunks() == result_protocol.num_chunks()
      assert (
          table_protocol.column_names()
          == result_protocol.column_names()
      )
  
imports: from datetime import datetime
  import numpy
  import pyarrow
  from pyarrow.vendored.version import Version
  import pytest
  import pyarrow.interchange
  from pyarrow.interchange.column import _PyArrowColumn, ColumnNullType, DtypeKind
  from pyarrow.interchange.from_dataframe import _from_dataframe
label_desc: Use image node_id 4 for calling a global function with example usage: test_pandas_roundtrip(uint, int, float, np_float) without return types