class_docstr: Provides accessor methods for a specific block.
  
  Ideally, we wouldn't need a separate accessor classes for blocks. However,
  this is needed if we want to support storing ``pyarrow.Table`` directly
  as a top-level Ray object, without a wrapping class (issue #17186).
class_docstr_tok: ["Provides","accessor","methods","for","a","specific","block",".","Ideally",",","we","would","n't","need","a","separate","accessor","classes","for","blocks",".","However",",","this","is","needed","if","we","want","to","support","storing","``","pyarrow.Table","``","directly","as","a","top-level","Ray","object",",","without","a","wrapping","class","(","issue","#","17186",")","."]
docstr: Convert this block into the provided batch format.
  
  Args:
      batch_format: The batch format to convert this block to.
  
  Returns:
      This block formatted as the provided batch format.
docstr_tok: ["Convert","this","block","into","the","provided","batch","format",".","Args",":","batch_format",":","The","batch","format","to","convert","this","block","to",".","Returns",":","This","block","formatted","as","the","provided","batch","format","."]
code: def to_batch_format(self, batch_format: Optional[str]) -> DataBatch:
      """Convert this block into the provided batch format.
  
      Args:
          batch_format: The batch format to convert this block to.
  
      Returns:
          This block formatted as the provided batch format.
      """
      if batch_format is None:
          return self.to_block()
      elif batch_format == "default" or batch_format == "native":
          return self.to_default()
      elif batch_format == "pandas":
          return self.to_pandas()
      elif batch_format == "pyarrow":
          return self.to_arrow()
      elif batch_format == "numpy":
          return self.to_numpy()
      else:
          raise ValueError(
              f"The batch format must be one of {VALID_BATCH_FORMATS}, got: "
              f"{batch_format}"
          )
  
imports: import collections
  import os
  import time
  from dataclasses import dataclass
  from typing import TYPE_CHECKING, Callable, Dict, Iterator, List, Literal, Optional, Protocol, Tuple, TypeVar, Union
  import numpy
  import ray
  from ray import DynamicObjectRefGenerator
  from ray.data._internal.util import _check_pyarrow_version, _truncated_repr
  from ray.types import ObjectRef
  from ray.util.annotations import DeveloperAPI
  import psutil
label_desc: Use image node_id 12 for calling the BlockAccessor obj's underlying member method code with example usage: obj.to_batch_format(batch_format) and returns: self, self, self, self, self