code: def sort_and_partition(
      self, boundaries: List[T], sort_key: "SortKey"
  ) -> List["Block"]:
      if self._table.num_rows == 0:
          # If the pyarrow table is empty we may not have schema
          # so calling sort_indices() will raise an error.
          return [
              self._empty_table() for _ in range(len(boundaries) + 1)
          ]
  
      context = DataContext.get_current()
      sort = get_sort_transform(context)
  
      table = sort(self._table, sort_key)
      if len(boundaries) == 0:
          return [table]
  
      return find_partitions(table, boundaries, sort_key)
  
imports: import collections
  import heapq
  import random
  from typing import TYPE_CHECKING, Any, Callable, Dict, Iterator, List, Optional, Tuple, TypeVar, Union
  import numpy
  from ray._private.utils import _get_pyarrow_version
  from ray.air.constants import TENSOR_COLUMN_NAME
  from ray.data._internal.arrow_ops import transform_polars, transform_pyarrow
  from ray.data._internal.numpy_support import convert_udf_returns_to_numpy, is_valid_udf_return
  from ray.data._internal.table_block import TableBlockAccessor, TableBlockBuilder
  from ray.data._internal.util import _truncated_repr, find_partitions
  from ray.data.block import Block, BlockAccessor, BlockExecStats, BlockMetadata, KeyType, U
  from ray.data.context import DataContext
  from ray.data.row import TableRow
label_desc: Use image node_id 28 for calling the ArrowBlockAccessor obj's underlying member method code with example usage: obj.sort_and_partition(boundaries, sort_key) and returns: find_partitions, unknown, list