


'''simple docstring'''


from __future__ import annotations

from dataclasses import dataclass



@dataclass
class 						__lowerCAmelCase		:


  '''simple docstring'''







  a_	       =				42
  a_	       =				None
  a_	       =				None







def   lowerCamelCase       (   lowerCamelCase	:   int):


      def is_valid_tree(lowerCamelCase	:   int) -> bool:
            if node is None:
                  return True

            if not isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__):
                  return False

            try:
                  float(node.data)
            except (TypeError, ValueError):
                  return False

            return is_valid_tree(node.left) and is_valid_tree(node.right)

      if not is_valid_tree(SCREAMING_SNAKE_CASE__):
            raise ValueError(
                """Each node should be type of TreeNode and data should be float.""")

      def is_binary_search_tree_recursive_check(
          lowerCamelCase	:   List[str]				,    lowerCamelCase	:   List[Any]				,    lowerCamelCase	:   Tuple) -> bool:

            if node is None:
                  return True

            return (
                left_bound < node.data < right_bound
                and is_binary_search_tree_recursive_check(node.left				,    SCREAMING_SNAKE_CASE__				,    node.data)
                and is_binary_search_tree_recursive_check(
                    node.right				,    node.data				,    SCREAMING_SNAKE_CASE__)
            )

      return is_binary_search_tree_recursive_check(SCREAMING_SNAKE_CASE__				,    -float("""inf""")				,    float("""inf"""))


if __name__ == "__main__":
     import doctest

     doctest.testmod()


'''simple docstring'''
from .data_collator import (
    DataCollatorForLanguageModeling,
    DataCollatorForPermutationLanguageModeling,
    DataCollatorForSeqaSeq,
    DataCollatorForSOP,
    DataCollatorForTokenClassification,
    DataCollatorForWholeWordMask,
    DataCollatorWithPadding,
    DefaultDataCollator,
    default_data_collator,
)
from .metrics import glue_compute_metrics, xnli_compute_metrics
from .processors import (
    DataProcessor,
    InputExample,
    InputFeatures,
    SingleSentenceClassificationProcessor,
    SquadExample,
    SquadFeatures,
    SquadVaProcessor,
    SquadVaProcessor,
    glue_convert_examples_to_features,
    glue_output_modes,
    glue_processors,
    glue_tasks_num_labels,
    squad_convert_examples_to_features,
    xnli_output_modes,
    xnli_processors,
    xnli_tasks_num_labels,
)


