code: def test_arrowparquet_options(fsspectest):
      """Regression test for writing to a not-yet-existent GCS Parquet file."""
      pytest.importorskip("pyarrow")
      df = DataFrame({"a": [0]})
      df.to_parquet(
          "testmem://test/test.csv",
          engine="pyarrow",
          compression=None,
          storage_options={"test": "parquet_write"},
      )
      assert fsspectest.test[0] == "parquet_write"
      read_parquet(
          "testmem://test/test.csv",
          engine="pyarrow",
          storage_options={"test": "parquet_read"},
      )
      assert fsspectest.test[0] == "parquet_read"
  
imports: import io
  import numpy
  import pytest
  from pandas import DataFrame, date_range, read_csv, read_excel, read_feather, read_json, read_parquet, read_pickle, read_stata, read_table
  import pandas._testing
  from pandas.util import _test_decorators
label_desc: Use image node_id 13 for calling a global function with example usage: test_arrowparquet_options(fsspectest) without return types