code: def test_pyarrow_roundtrip(
      uint, int, float, np_float, unit, tz, offset, length
  ):
      from datetime import datetime as dt
  
      arr = [1, 2, None]
      dt_arr = [dt(2007, 7, 13), None, dt(2007, 7, 15)]
  
      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,
                  from_pandas=True,
              ),
              "d": [True, False, True],
              "e": [True, False, None],
              "f": ["a", None, "c"],
              "g": pa.array(dt_arr, type=pa.timestamp(unit, tz=tz)),
          }
      )
      table = table.slice(offset, length)
      result = _from_dataframe(table.__dataframe__())
  
      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 12 for calling a global function with example usage: test_pyarrow_roundtrip(uint, int, float, np_float, unit, tz, offset, length) without return types