




'''simple docstring'''







from __future__ import annotations

from dataclasses import dataclass


@dataclass
class 			_a  :
       __a				:     float
       __a				:     TreeNode | None   				=					None
       __a				:     TreeNode | None   				=					None






def 						snake_case_							(_a	:							TreeNode | None     ):

    def is_valid_tree(_a	:							TreeNode | None     ) -> bool:
        if node is None:
            return True

        if not isinstance(snake_case_    ,   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(snake_case_     ):
        raise ValueError(
            '''Each node should be type of TreeNode and data should be float.'''     )

    def is_binary_search_tree_recursive_check(
        _a	:							TreeNode | None    ,   _a	:							float    ,   _a	:							float     ) -> bool:

        if node is None:
            return True

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

    return is_binary_search_tree_recursive_check(snake_case_    ,   -float('''inf'''     )    ,   float('''inf'''     )     )


if __name__ == "__main__":
   import doctest

   doctest.testmod()





'''simple docstring'''

import re

from filelock import FileLock


try:
 import nltk

 _A			:      int					      =				True
except (ImportError, ModuleNotFoundError):
 _A			:      Optional[Any]					      =				False

if NLTK_AVAILABLE:
 with FileLock('''.lock''') as lock:
  nltk.download('''punkt''', quiet=True)







def      UpperCamelCase_						(					snake_case_       :       str      )					->     str:






 '''simple docstring'''

 re.sub("""<n>"""						,		""""""						,		snake_case_      )  # remove pegasus newline char
 assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
 return "\n".join(nltk.sent_tokenize(snake_case_      )      )






