class_docstr: Configuration that captures all checkpointing related settings.
  
  :data:`DEFAULT_MODE`:
  
  The default checkpoint mode: exactly once.
  
  :data:`DEFAULT_TIMEOUT`:
  
  The default timeout of a checkpoint attempt: 10 minutes.
  
  :data:`DEFAULT_MIN_PAUSE_BETWEEN_CHECKPOINTS`:
  
  The default minimum pause to be made between checkpoints: none.
  
  :data:`DEFAULT_MAX_CONCURRENT_CHECKPOINTS`:
  
  The default limit of concurrently happening checkpoints: one.
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docstr: This determines the behaviour of tasks if there is an error in their local checkpointing.
  If this returns true, tasks will fail as a reaction. If this returns false, task will only
  decline the failed checkpoint.
  
  :return: ``True`` if failing on checkpointing errors, false otherwise.
code: def is_fail_on_checkpointing_errors(self) -> bool:
      """
      This determines the behaviour of tasks if there is an error in their local checkpointing.
      If this returns true, tasks will fail as a reaction. If this returns false, task will only
      decline the failed checkpoint.
  
      :return: ``True`` if failing on checkpointing errors, false otherwise.
      """
      return self._j_checkpoint_config.isFailOnCheckpointingErrors()
  
imports: import warnings
  from enum import Enum
  from typing import Optional
  from pyflink.common import Duration
  from pyflink.datastream.checkpoint_storage import CheckpointStorage, _from_j_checkpoint_storage
  from pyflink.datastream.checkpointing_mode import CheckpointingMode
  from pyflink.java_gateway import get_gateway
label_desc: Use image node_id 13 for calling the CheckpointConfig obj's underlying member method code with example usage: obj.is_fail_on_checkpointing_errors() and returns: self