






from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers
class 					a					:



      """simple docstring"""


      def __init__(   self      :    Optional[Any]	,   __lowercase      :    Tuple      )							->   None:
        __UpperCAmelCase							:			Optional[Any]     =						vocab
        __UpperCAmelCase							:			List[str]     =						normalizers.BertNormalizer(
            clean_text=__lowercase	,   handle_chinese_chars=__lowercase	,   strip_accents=__lowercase	,   lowercase=__lowercase	,   )
        try:
          import rjieba
        except ImportError:
          raise ImportError(
              """You need to install rjieba to use RoFormerTokenizer. """
              """See https://pypi.org/project/rjieba/ for installation."""      )
        __UpperCAmelCase							:			Dict     =						rjieba
      def 			UpperCAmelCase   (   self      :    List[str]	,   __lowercase      :    Dict	,   __lowercase      :    int      )							->   List[NormalizedString]:
        __UpperCAmelCase							:			str     =						[]

        # this code slice normalized_string is too slow (6s) but test_alignement_methods can pass
        for token, start, end in self.jieba.tokenize(str(__lowercase      )	,   hmm=__lowercase      ):
          if token in self.vocab:
            splits.append(normalized_string[start:end]      )
          else:
            __UpperCAmelCase							:			Tuple     =						self.normalizers.normalize_str(__lowercase      ).split()
            for token in token_list:
              if token:
                __UpperCAmelCase							:			List[str]     =						start + len(__lowercase      )
                splits.append(normalized_string[start:end]      )
                __UpperCAmelCase							:			str     =						end

        # this code test_alignement_methods can't pass but fast (300ms)
        # for token in self.jieba.cut(str(normalized_string), False):
        #     if token in self.vocab:
        #         splits.append(NormalizedString(token))
        #     else:
        #         token_list = self.normalizers.normalize_str(token).split()
        #         for token in token_list:
        #             if token:
        #                 splits.append(NormalizedString(token))

        return splits




      def 			UpperCAmelCase   (   self      :    str	,   __lowercase      :    Any      )							->   Optional[int]:
        pretok.split(self.jieba_split      )










class 					a					:



      """simple docstring"""


      def __init__(   self      :    int	,   __lowercase      :    int      )							->   None:
        __UpperCAmelCase							:			str     =						data
        __UpperCAmelCase							:			BinaryTreeNode | None     =						None
        __UpperCAmelCase							:			BinaryTreeNode | None     =						None






def        lowerCamelCase__   (					__lowerCamelCase    :  BinaryTreeNode | None						,	__lowerCamelCase    :  int	):
  if node is None:
    __UpperCAmelCase							:			Optional[int]     =						BinaryTreeNode(__lowerCamelCase	)
    return node

  # binary search tree is not empty,
  # so we will insert it into the tree
  # if new_value is less than value of data in node,
  #  add it to left subtree and proceed recursively
  if new_value < node.data:
    __UpperCAmelCase							:			int     =						insert(node.left_child						,	__lowerCamelCase	)
  else:
    # if new_value is greater than value of data in node,
    #  add it to right subtree and proceed recursively
    __UpperCAmelCase							:			Dict     =						insert(node.right_child						,	__lowerCamelCase	)
  return node






def        lowerCamelCase__   (					__lowerCamelCase    :  None | BinaryTreeNode	):  # if node is None,return
  if node:
    __UpperCAmelCase							:			Optional[Any]     =						inorder(node.left_child	)
    __UpperCAmelCase							:			str     =						[*inorder_array, node.data]
    __UpperCAmelCase							:			Optional[Any]     =						inorder_array + inorder(node.right_child	)
  else:
    __UpperCAmelCase							:			Tuple     =						[]
  return inorder_array






def        lowerCamelCase__   (					):
  __UpperCAmelCase							:			Any     =						insert(__lowerCamelCase						,	15	)
  insert(__lowerCamelCase						,	10	)
  insert(__lowerCamelCase						,	25	)
  insert(__lowerCamelCase						,	6	)
  insert(__lowerCamelCase						,	14	)
  insert(__lowerCamelCase						,	20	)
  insert(__lowerCamelCase						,	60	)
  return root






def        lowerCamelCase__   (					):
  # main function
  __UpperCAmelCase							:			int     =						make_tree()
  print("""Printing values of binary search tree in Inorder Traversal."""	)
  inorder(__lowerCamelCase	)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       main()


