code: def test_read_write_parquet_files_with_uri(self):
      import pyarrow.parquet as pq
  
      tmpdir = pjoin(self.tmp_path, "uri-parquet-" + guid())
      self.hdfs.mkdir(tmpdir)
      path = _get_hdfs_uri(pjoin(tmpdir, "test.parquet"))
  
      size = 5
      df = _test_dataframe(size, seed=0)
      # Hack so that we don't have a dtype cast in v1 files
      df["uint32"] = df["uint32"].astype(np.int64)
      table = pa.Table.from_pandas(df, preserve_index=False)
  
      pq.write_table(table, path, filesystem=self.hdfs)
  
      result = pq.read_table(path, filesystem=self.hdfs).to_pandas()
  
      assert_frame_equal(result, df)
  
imports: import os
  import random
  from io import BytesIO
  from os.path import join
  import numpy
  import pytest
  import pyarrow
  from pyarrow.tests import util
  from pyarrow.tests.parquet.common import _test_dataframe
  from pyarrow.tests.parquet.test_dataset import _test_write_to_dataset_with_partitions, _test_write_to_dataset_no_partitions
  from pyarrow.util import guid
label_desc: Use image node_id 23 for calling the HdfsTestCases obj's underlying member method code with example usage: obj.test_read_write_parquet_files_with_uri() without return types