code: def test_float_no_nulls(version):
      data = {}
      numpy_dtypes = ["f4", "f8"]
      num_values = 100
  
      for dtype in numpy_dtypes:
          values = np.random.randn(num_values)
          data[dtype] = values.astype(dtype)
  
      df = pd.DataFrame(data)
      _check_pandas_roundtrip(df, version=version)
  
imports: import io
  import os
  import sys
  import tempfile
  import pytest
  import hypothesis
  import hypothesis.strategies
  import numpy
  import pyarrow
  import pyarrow.tests.strategies
  from pyarrow.feather import read_feather, write_feather, read_table, FeatherDataset
label_desc: Use image node_id 12 for calling a global function with example usage: test_float_no_nulls(version) without return types