code: def _read_with_shuffle_row_drop(
      self, piece, pq_file, column_names, shuffle_row_drop_partition
  ):
      partition_names = (
          self._dataset.partitions.partition_names
          if self._dataset.partitions
          else set()
      )
  
      # pyarrow would fail if we request a column names that the dataset is partitioned by
      table = piece.read(
          columns=column_names - partition_names,
          partitions=self._dataset.partitions,
      )
      if self._shuffle_rows:
          indices = self._random_state.permutation(table.num_rows)
          table = table.take(indices)
  
      # Drop columns we did not explicitly request. This may happen when a table is partitioned. Besides columns
      # requested, pyarrow will also return partition values. Having these unexpected fields will break some
      # downstream code.
  
      loaded_column_names = set(table.column_names)
      unasked_for_columns = loaded_column_names - column_names
      if unasked_for_columns:
          table = table.drop(unasked_for_columns)
  
      num_rows = len(table)
      num_partitions = shuffle_row_drop_partition[1]
      this_partition = shuffle_row_drop_partition[0]
  
      if num_partitions > 1:
          data_frame_pandas = table.to_pandas()
          partition_indexes = np.floor(
              np.arange(num_rows)
              / (float(num_rows) / min(num_rows, num_partitions))
          )
  
          table = pa.Table.from_pandas(
              data_frame_pandas.loc[
                  partition_indexes == this_partition
              ],
              preserve_index=False,
          )
  
      return table
  
imports: from __future__ import division
  import hashlib
  import operator
  import numpy
  import pandas
  import pyarrow
  from pyarrow import parquet
  from pyarrow.parquet import ParquetFile
  from petastorm.cache import NullCache
  from petastorm.workers_pool import EmptyResultError
  from petastorm.workers_pool.worker_base import WorkerBase
label_desc: Use image node_id 7 for calling the ArrowReaderWorker obj's underlying member method code with example usage: obj._read_with_shuffle_row_drop(piece, pq_file, column_names, shuffle_row_drop_partition) and returns: table