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: Create a block accessor for the given block.
docstr_tok: ["Create","a","block","accessor","for","the","given","block","."]
code: def for_block(block: Block) -> "BlockAccessor[T]":
      """Create a block accessor for the given block."""
      _check_pyarrow_version()
      import pandas
      import pyarrow
  
      if isinstance(block, pyarrow.Table):
          from ray.data._internal.arrow_block import ArrowBlockAccessor
  
          return ArrowBlockAccessor(block)
      elif isinstance(block, pandas.DataFrame):
          from ray.data._internal.pandas_block import (
              PandasBlockAccessor,
          )
  
          return PandasBlockAccessor(block)
      elif isinstance(block, bytes):
          from ray.data._internal.arrow_block import ArrowBlockAccessor
  
          return ArrowBlockAccessor.from_bytes(block)
      elif isinstance(block, list):
          raise ValueError(
              f"Error validating {_truncated_repr(block)}: "
              "Standalone Python objects are not "
              "allowed in Ray 2.5. To use Python objects in a dataset, "
              "wrap them in a dict of numpy arrays, e.g., "
              "return `{'item': batch}` instead of just `batch`."
          )
      else:
          raise TypeError(
              "Not a block type: {} ({})".format(block, type(block))
          )
  
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 19 for calling the BlockAccessor obj's underlying member method code with example usage: obj.for_block(block) and returns: ArrowBlockAccessor, PandasBlockAccessor, ArrowBlockAccessor