
'''simple docstring'''

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


UpperCamelCase_        =							logging.get_logger(__name__)

UpperCamelCase_        =							"""▁"""

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

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

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

UpperCamelCase_        =							{
    """microsoft/xprophetnet-large-wiki100-cased""": 5_12,
}


def 						_UpperCAmelCase					(	_lowerCamelCase    :							str		)     ->    Dict:
  _lowerCAmelCase							:	Union[str, Any] 					=       collections.OrderedDict()
  with open(SCREAMING_SNAKE_CASE__	,   """r"""	,   encoding="""utf-8"""		) as reader:
    _lowerCAmelCase							:	Optional[Any] 					=       reader.readlines()
  for index, token in enumerate(SCREAMING_SNAKE_CASE__		):
    _lowerCAmelCase							:	List[str] 					=       token.rstrip("""\n"""		)
    _lowerCAmelCase							:	Optional[Any] 					=       index
  return vocab



class 	a_	(__SCREAMING_SNAKE_CASE     ):
       __lowerCAmelCase     :					int     =   VOCAB_FILES_NAMES
       __lowerCAmelCase     :					Optional[Any]     =   PRETRAINED_VOCAB_FILES_MAP
       __lowerCAmelCase     :					Optional[int]     =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __lowerCAmelCase     :					List[str]     =   ["""input_ids""", """attention_mask"""]




       def __init__(  self , snake_case_ , snake_case_="[SEP]" , snake_case_="[SEP]" , snake_case_="[SEP]" , snake_case_="[UNK]" , snake_case_="[PAD]" , snake_case_="[CLS]" , snake_case_="[MASK]" , snake_case_ = None , **snake_case_ , ):
         _lowerCAmelCase							:	Dict 					=       {} if sp_model_kwargs is None else sp_model_kwargs

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

         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

         _lowerCAmelCase							:	Any 					=       spm.SentencePieceProcessor(**self.sp_model_kwargs	)
         self.sp_model.Load(str(UpperCamelCase__	)	)
         _lowerCAmelCase							:	str 					=       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
         _lowerCAmelCase							:	Tuple 					=       {'''[PAD]''': 0, '''[CLS]''': 1, '''[SEP]''': 2, '''[UNK]''': 3, '''[MASK]''': 4}

         for i in range(1_0	):
           _lowerCAmelCase							:	Tuple 					=       f'[unused{i}]'
           _lowerCAmelCase							:	Union[str, Any] 					=       5 + i

         # The first "real" token "," has position 15 in the embedding vocab and position 3 in the spm vocab
         _lowerCAmelCase							:	Dict 					=       1_2
         _lowerCAmelCase							:	int 					=       {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(UpperCamelCase__	)




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




       def __setstate__(  self , snake_case_	):
         _lowerCAmelCase							:	List[Any] 					=       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"""	):
           _lowerCAmelCase							:	Any 					=       {}

         _lowerCAmelCase							:	Optional[int] 					=       spm.SentencePieceProcessor(**self.sp_model_kwargs	)
         self.sp_model.Load(self.vocab_file	)




       def 				__UpperCamelCase							(  self , snake_case_ , snake_case_ = None , snake_case_ = False	):







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

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




       def 				__UpperCamelCase							(  self , snake_case_ , snake_case_ = None	):
         _lowerCAmelCase							:	List[str] 					=       [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 				__UpperCamelCase							(  self	):
         return len(self.sp_model	) + self.fairseq_offset




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




       def 				__UpperCamelCase							(  self , snake_case_	):
         return self.sp_model.encode(UpperCamelCase__ , out_type=UpperCamelCase__	)




       def 				__UpperCamelCase							(  self , snake_case_	):







         if token in self.fairseq_tokens_to_ids:
           return self.fairseq_tokens_to_ids[token]
         _lowerCAmelCase							:	Dict 					=       self.sp_model.PieceToId(UpperCamelCase__	)

         # 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 				__UpperCamelCase							(  self , snake_case_	):







         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 				__UpperCamelCase							(  self , snake_case_	):
         _lowerCAmelCase							:	Dict 					=       ''''''.join(UpperCamelCase__	).replace(UpperCamelCase__ , """ """	).strip()
         return out_string




       def 				__UpperCamelCase							(  self , snake_case_ , snake_case_ = None	):







         if not os.path.isdir(UpperCamelCase__	):
           logger.error(f'Vocabulary path ({save_directory}) should be a directory'	)
           return
         _lowerCAmelCase							:	Dict 					=       os.path.join(
             UpperCamelCase__ , (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]	)

         if os.path.abspath(self.vocab_file	) != os.path.abspath(UpperCamelCase__	) and os.path.isfile(self.vocab_file	):
           copyfile(self.vocab_file , UpperCamelCase__	)
         elif not os.path.isfile(self.vocab_file	):
           with open(UpperCamelCase__ , """wb"""	) as fi:
             _lowerCAmelCase							:	Optional[Any] 					=       self.sp_model.serialized_model_proto()
             fi.write(UpperCamelCase__	)

         return (out_vocab_file,)







       def 				__UpperCamelCase							(  self , snake_case_ , snake_case_ = None	):







         if token_ids_a is None:
           return token_ids_a + [self.sep_token_id]
         _lowerCAmelCase							:	List[str] 					=       [self.sep_token_id]
         return token_ids_a + sep + token_ids_a + sep




'''simple docstring'''
from __future__ import annotations

import queue






class 	snake_case__       :







		"""simple docstring"""

		def __init__(      self				:			int  ,	UpperCamelCase__				:			Optional[int]      )						->			Dict:






				"""simple docstring"""







				snake_case  :       Union[str, Any]     			=						data
				snake_case  :       Tuple     			=						None
				snake_case  :       int     			=						None







def    _UpperCamelCase						(       )  ->							TreeNode:


		'''simple docstring'''


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




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							None:


		'''simple docstring'''


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




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							None:


		'''simple docstring'''


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




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							None:


		'''simple docstring'''


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




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							None:


		'''simple docstring'''


		if not isinstance(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			) or not node:
				return
		snake_case  :       queue.Queue     			=						queue.Queue()
		q.put(SCREAMING_SNAKE_CASE__			)
		while not q.empty():
				snake_case  :       Any     			=						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    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							None:


		'''simple docstring'''


		if not isinstance(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			) or not node:
				return
		snake_case  :       queue.Queue     			=						queue.Queue()
		q.put(SCREAMING_SNAKE_CASE__			)
		while not q.empty():
				snake_case  :       str     			=						[]
				while not q.empty():
						snake_case  :       int     			=						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(SCREAMING_SNAKE_CASE__			)




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							None:


		'''simple docstring'''


		if not isinstance(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			) or not node:
				return
		snake_case  :       list[TreeNode]     			=						[]
		snake_case  :       Union[str, Any]     			=						node
		while n or stack:
				while n:  # start from root node, find its left child
						print(n.data ,       end=''','''			)
						stack.append(SCREAMING_SNAKE_CASE__			)
						snake_case  :       Dict     			=						n.left
				# end of while means current node doesn't have left child
				snake_case  :       List[Any]     			=						stack.pop()
				# start to traverse its right child
				snake_case  :       Any     			=						n.right




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							None:


		'''simple docstring'''


		if not isinstance(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			) or not node:
				return
		snake_case  :       list[TreeNode]     			=						[]
		snake_case  :       Dict     			=						node
		while n or stack:
				while n:
						stack.append(SCREAMING_SNAKE_CASE__			)
						snake_case  :       List[str]     			=						n.left
				snake_case  :       Union[str, Any]     			=						stack.pop()
				print(n.data ,       end=''','''			)
				snake_case  :       int     			=						n.right




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							None:


		'''simple docstring'''


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




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ = "" ,       SCREAMING_SNAKE_CASE__=50 ,       SCREAMING_SNAKE_CASE__="*"			)  ->							str:


		'''simple docstring'''


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


if __name__ == "__main__":
						import doctest

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

						lowercase__						       =      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("*" * 5_0 + "\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())


