




import collections
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


a_   		=     logging.get_logger(__name__)

a_   		=     "▁"

a_   		=     {"vocab_file": "prophetnet.tokenizer"}

a_   		=     {
    "vocab_file": {
        "microsoft/xprophetnet-large-wiki100-cased": (
            "https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/prophetnet.tokenizer"
        ),
    }
}

a_   		=     {
    "microsoft/xprophetnet-large-wiki100-cased": {"do_lower_case": False},
}

a_   		=     {
    "microsoft/xprophetnet-large-wiki100-cased": 512,
}




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	int:

    """simple docstring"""


    __UpperCamelCase  		=						collections.OrderedDict()
    with open(lowercase_					,     '''r'''					,     encoding='''utf-8'''      ) as reader:
        __UpperCamelCase  		=						reader.readlines()
    for index, token in enumerate(lowercase_      ):
        __UpperCamelCase  		=						token.rstrip('''\n'''      )
        __UpperCamelCase  		=						index
    return vocab


class  _lowerCamelCase						(			_SCREAMING_SNAKE_CASE   ):

      """simple docstring"""

      lowerCAmelCase__			: List[Any]    =					VOCAB_FILES_NAMES
      lowerCAmelCase__			: Optional[Any]    =					PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__			: Any    =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__			: int    =					["input_ids", "attention_mask"]







      def __init__(     self					: Any ,       snake_case					: str ,       snake_case					: List[str]="[SEP]" ,       snake_case					: str="[SEP]" ,       snake_case					: Dict="[SEP]" ,       snake_case					: Tuple="[UNK]" ,       snake_case					: Tuple="[PAD]" ,       snake_case					: List[str]="[CLS]" ,       snake_case					: List[str]="[MASK]" ,       snake_case					: Optional[Dict[str, Any]] = None ,       **snake_case					: str ,       ):
          __UpperCamelCase  		=						{} if sp_model_kwargs is None else sp_model_kwargs

          super().__init__(
              bos_token=snake_case ,       eos_token=snake_case ,       sep_token=snake_case ,       unk_token=snake_case ,       pad_token=snake_case ,       cls_token=snake_case ,       mask_token=snake_case ,       sp_model_kwargs=self.sp_model_kwargs ,       **snake_case ,       )

          try:
              import sentencepiece as spm
          except ImportError:
              logger.warning(
                  '''You need to install SentencePiece to use XLMRobertaTokenizer: https://github.com/google/sentencepiece'''
                  ''' pip install sentencepiece'''				)
              raise

          __UpperCamelCase  		=						spm.SentencePieceProcessor(**self.sp_model_kwargs				)
          self.sp_model.Load(str(snake_case				)				)
          __UpperCamelCase  		=						vocab_file

          # Original fairseq vocab and spm vocab must be "aligned":
          # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
          # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
          # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
          # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

          # put special tokens and [unused] tokens into the vocab
          __UpperCamelCase  		=						{'''[PAD]''': 0, '''[CLS]''': 1, '''[SEP]''': 2, '''[UNK]''': 3, '''[MASK]''': 4}

          for i in range(10				):
              __UpperCamelCase  		=						F"[unused{i}]"
              __UpperCamelCase  		=						5 + i

          # The first "real" token "," has position 15 in the embedding vocab and position 3 in the spm vocab
          __UpperCamelCase  		=						12
          __UpperCamelCase  		=						{v: k for k, v in self.fairseq_tokens_to_ids.items()}
          for k in self.fairseq_tokens_to_ids.keys():
              self.unique_no_split_tokens.append(snake_case				)







      def __getstate__(     self					: Union[str, Any]				):
          __UpperCamelCase  		=						self.__dict__.copy()
          __UpperCamelCase  		=						None
          return state







      def __setstate__(     self					: Any ,       snake_case					: Union[str, Any]				):
          __UpperCamelCase  		=						d
          try:
              import sentencepiece as spm
          except ImportError:
              logger.warning(
                  '''You need to install SentencePiece to use XLMRobertaTokenizer: https://github.com/google/sentencepiece'''
                  ''' pip install sentencepiece'''				)
              raise

          # for backward compatibility
          if not hasattr(self ,       '''sp_model_kwargs'''				):
              __UpperCamelCase  		=						{}

          __UpperCamelCase  		=						spm.SentencePieceProcessor(**self.sp_model_kwargs				)
          self.sp_model.Load(self.vocab_file				)







      def       snake_case	(     self					: str ,       snake_case					: List[int] ,       snake_case					: Optional[List[int]] = None ,       snake_case					: bool = False				):

          if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=snake_case ,       token_ids_a=snake_case ,       already_has_special_tokens=snake_case				)

          if token_ids_a is None:
              return ([0] * len(snake_case				)) + [1]
          return ([0] * len(snake_case				)) + [1] + ([0] * len(snake_case				)) + [1]







      def       snake_case	(     self					: str ,       snake_case					: List[int] ,       snake_case					: Optional[List[int]] = None				):
          __UpperCamelCase  		=						[self.sep_token_id]

          if token_ids_a is None:
              return len(token_ids_a + sep				) * [0]
          return len(token_ids_a + sep + sep + token_ids_a + sep				) * [0]







      @property
      def       snake_case	(     self					: Optional[int]				):
          return len(self.sp_model				) + self.fairseq_offset







      def       snake_case	(     self					: Any				):
          __UpperCamelCase  		=						{self.convert_ids_to_tokens(snake_case				): i for i in range(self.vocab_size				)}
          vocab.update(self.added_tokens_encoder				)
          return vocab







      def       snake_case	(     self					: List[Any] ,       snake_case					: str				):
          return self.sp_model.encode(snake_case ,       out_type=snake_case				)







      def       snake_case	(     self					: Optional[Any] ,       snake_case					: Optional[Any]				):
          if token in self.fairseq_tokens_to_ids:
              return self.fairseq_tokens_to_ids[token]
          __UpperCamelCase  		=						self.sp_model.PieceToId(snake_case				)

          # Need to return unknown token if the SP model returned 0
          return spm_id + self.fairseq_offset if spm_id else self.unk_token_id







      def       snake_case	(     self					: Union[str, Any] ,       snake_case					: Union[str, Any]				):
          if index in self.fairseq_ids_to_tokens:
              return self.fairseq_ids_to_tokens[index]
          return self.sp_model.IdToPiece(index - self.fairseq_offset				)







      def       snake_case	(     self					: List[Any] ,       snake_case					: List[str]				):
          __UpperCamelCase  		=						''''''.join(snake_case				).replace(snake_case ,       ''' '''				).strip()
          return out_string







      def       snake_case	(     self					: Union[str, Any] ,       snake_case					: str ,       snake_case					: Optional[str] = None				):
          if not os.path.isdir(snake_case				):
              logger.error(F"Vocabulary path ({save_directory}) should be a directory"				)
              return
          __UpperCamelCase  		=						os.path.join(
              snake_case ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)

          if os.path.abspath(self.vocab_file				) != os.path.abspath(snake_case				) and os.path.isfile(self.vocab_file				):
              copyfile(self.vocab_file ,       snake_case				)
          elif not os.path.isfile(self.vocab_file				):
              with open(snake_case ,       '''wb'''				) as fi:
                  __UpperCamelCase  		=						self.sp_model.serialized_model_proto()
                  fi.write(snake_case				)

          return (out_vocab_file,)







      def       snake_case	(     self					: List[str] ,       snake_case					: List[int] ,       snake_case					: Optional[List[int]] = None				):

          if token_ids_a is None:
              return token_ids_a + [self.sep_token_id]
          __UpperCamelCase  		=						[self.sep_token_id]
          return token_ids_a + sep + token_ids_a + sep












from __future__ import annotations

import queue

class  _lowerCamelCase						:

      """simple docstring"""

      def __init__(     self					: Any ,       snake_case					: Tuple				):
          __UpperCamelCase  		=						data
          __UpperCamelCase  		=						None
          __UpperCamelCase  		=						None







def 					__SCREAMING_SNAKE_CASE   (  )       ->	TreeNode:

    """simple docstring"""


    print('''\n********Press N to stop entering at any point of time********\n'''      )
    __UpperCamelCase  		=						input('''Enter the value of the root node: '''      ).strip().lower()
    __UpperCamelCase  		=						queue.Queue()
    __UpperCamelCase  		=						TreeNode(int(lowercase_      )      )
    q.put(lowercase_      )
    while not q.empty():
        __UpperCamelCase  		=						q.get()
        __UpperCamelCase  		=						F"Enter the left node of {node_found.data}: "
        __UpperCamelCase  		=						input(lowercase_      ).strip().lower() or '''n'''
        if check == "n":
            return tree_node
        __UpperCamelCase  		=						TreeNode(int(lowercase_      )      )
        __UpperCamelCase  		=						left_node
        q.put(lowercase_      )
        __UpperCamelCase  		=						F"Enter the right node of {node_found.data}: "
        __UpperCamelCase  		=						input(lowercase_      ).strip().lower() or '''n'''
        if check == "n":
            return tree_node
        __UpperCamelCase  		=						TreeNode(int(lowercase_      )      )
        __UpperCamelCase  		=						right_node
        q.put(lowercase_      )
    raise




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	None:

    """simple docstring"""


    if not isinstance(lowercase_					,     lowercase_      ) or not node:
        return
    print(node.data					,     end=''','''      )
    pre_order(node.left      )
    pre_order(node.right      )




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	None:

    """simple docstring"""


    if not isinstance(lowercase_					,     lowercase_      ) or not node:
        return
    in_order(node.left      )
    print(node.data					,     end=''','''      )
    in_order(node.right      )




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	None:

    """simple docstring"""


    if not isinstance(lowercase_					,     lowercase_      ) or not node:
        return
    post_order(node.left      )
    post_order(node.right      )
    print(node.data					,     end=''','''      )




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	None:

    """simple docstring"""


    if not isinstance(lowercase_					,     lowercase_      ) or not node:
        return
    __UpperCamelCase  		=						queue.Queue()
    q.put(lowercase_      )
    while not q.empty():
        __UpperCamelCase  		=						q.get()
        print(node_dequeued.data					,     end=''','''      )
        if node_dequeued.left:
            q.put(node_dequeued.left      )
        if node_dequeued.right:
            q.put(node_dequeued.right      )




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	None:

    """simple docstring"""


    if not isinstance(lowercase_					,     lowercase_      ) or not node:
        return
    __UpperCamelCase  		=						queue.Queue()
    q.put(lowercase_      )
    while not q.empty():
        __UpperCamelCase  		=						[]
        while not q.empty():
            __UpperCamelCase  		=						q.get()
            print(node_dequeued.data					,     end=''','''      )
            if node_dequeued.left:
                list_.append(node_dequeued.left      )
            if node_dequeued.right:
                list_.append(node_dequeued.right      )
        print()
        for node in list_:
            q.put(lowercase_      )




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	None:

    """simple docstring"""


    if not isinstance(lowercase_					,     lowercase_      ) or not node:
        return
    __UpperCamelCase  		=						[]
    __UpperCamelCase  		=						node
    while n or stack:
        while n:  # start from root node, find its left child
            print(n.data					,     end=''','''      )
            stack.append(lowercase_      )
            __UpperCamelCase  		=						n.left
        # end of while means current node doesn't have left child
        __UpperCamelCase  		=						stack.pop()
        # start to traverse its right child
        __UpperCamelCase  		=						n.right




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	None:

    """simple docstring"""


    if not isinstance(lowercase_					,     lowercase_      ) or not node:
        return
    __UpperCamelCase  		=						[]
    __UpperCamelCase  		=						node
    while n or stack:
        while n:
            stack.append(lowercase_      )
            __UpperCamelCase  		=						n.left
        __UpperCamelCase  		=						stack.pop()
        print(n.data					,     end=''','''      )
        __UpperCamelCase  		=						n.right




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	None:

    """simple docstring"""


    if not isinstance(lowercase_					,     lowercase_      ) or not node:
        return
    __UpperCamelCase		,      __UpperCamelCase  		=						[], []
    __UpperCamelCase  		=						node
    stacka.append(lowercase_      )
    while stacka:  # to find the reversed order of post order, store it in stack2
        __UpperCamelCase  		=						stacka.pop()
        if n.left:
            stacka.append(n.left      )
        if n.right:
            stacka.append(n.right      )
        stacka.append(lowercase_      )
    while stacka:  # pop up from stack2 will be the post order
        print(stacka.pop().data					,     end=''','''      )




def 					__SCREAMING_SNAKE_CASE   (  lowercase_ = ""					,     lowercase_=50					,     lowercase_="*"      )       ->	str:

    """simple docstring"""


    if not s:
        return "\n" + width * char
    __UpperCamelCase		,      __UpperCamelCase  		=						divmod(width - len(lowercase_      ) - 2					,     2      )
    return F"{left * char} {s} {(left + extra) * char}"


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(prompt("Binary Tree Traversals"))

 a_   		=     build_tree()
 print(prompt("Pre Order Traversal"))
 pre_order(node)
 print(prompt() + "\n")

 print(prompt("In Order Traversal"))
 in_order(node)
 print(prompt() + "\n")

 print(prompt("Post Order Traversal"))
 post_order(node)
 print(prompt() + "\n")

 print(prompt("Level Order Traversal"))
 level_order(node)
 print(prompt() + "\n")

 print(prompt("Actual Level Order Traversal"))
 level_order_actual(node)
 print("*" * 50 + "\n")

 print(prompt("Pre Order Traversal - Iteration Version"))
 pre_order_iter(node)
 print(prompt() + "\n")

 print(prompt("In Order Traversal - Iteration Version"))
 in_order_iter(node)
 print(prompt() + "\n")

 print(prompt("Post Order Traversal - Iteration Version"))
 post_order_iter(node)
 print(prompt())






