



import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


lowerCamelCase		       =      logging.get_logger(__name__)

lowerCamelCase		       =      """▁"""

lowerCamelCase		       =      {
    """vocab_file""": """vocab.json""",
    """spm_file""": """sentencepiece.bpe.model""",
}

lowerCamelCase		       =      {
    """vocab_file""": {
        """facebook/s2t-small-librispeech-asr""": (
            """https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json"""
        ),
    },
    """spm_file""": {
        """facebook/s2t-small-librispeech-asr""": (
            """https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model"""
        )
    },
}

lowerCamelCase		       =      {
    """facebook/s2t-small-librispeech-asr""": 10_24,
}

lowerCamelCase		       =      ["""pt""", """fr""", """ru""", """nl""", """ro""", """it""", """es""", """de"""]

lowerCamelCase		       =      {"""mustc""": MUSTC_LANGS}


class 				_a						(       SCREAMING_SNAKE_CASE			):





							'''simple docstring'''

							A				:Optional[Any] =       VOCAB_FILES_NAMES
							A				:List[Any] =       PRETRAINED_VOCAB_FILES_MAP
							A				:int =       MAX_MODEL_INPUT_SIZES
							A				:List[str] =       ["input_ids", "attention_mask"]

							A				:List[int] =       []



							def __init__(							self ,					__UpperCAmelCase ,					__UpperCAmelCase ,					__UpperCAmelCase="<s>" ,					__UpperCAmelCase="</s>" ,					__UpperCAmelCase="<pad>" ,					__UpperCAmelCase="<unk>" ,					__UpperCAmelCase=False ,					__UpperCAmelCase=False ,					__UpperCAmelCase=None ,					__UpperCAmelCase=None ,					__UpperCAmelCase = None ,					**__UpperCAmelCase ,					):







											"""simple docstring"""



											a__	:							int      						= {} if sp_model_kwargs is None else sp_model_kwargs

											super().__init__(
											    bos_token=__UpperCAmelCase ,					eos_token=__UpperCAmelCase ,					unk_token=__UpperCAmelCase ,					pad_token=__UpperCAmelCase ,					do_upper_case=__UpperCAmelCase ,					do_lower_case=__UpperCAmelCase ,					tgt_lang=__UpperCAmelCase ,					lang_codes=__UpperCAmelCase ,					sp_model_kwargs=self.sp_model_kwargs ,					**__UpperCAmelCase ,					)
											a__	:							Optional[int]      						= do_upper_case
											a__	:							Any      						= do_lower_case

											a__	:							Tuple      						= load_json(__UpperCAmelCase				)
											a__	:							Tuple      						= {v: k for k, v in self.encoder.items()}
											a__	:							Any      						= spm_file
											a__	:							List[str]      						= load_spm(__UpperCAmelCase ,					self.sp_model_kwargs				)

											if lang_codes is not None:
															a__	:							Any      						= lang_codes
															a__	:							Union[str, Any]      						= LANGUAGES[lang_codes]
															a__	:							Union[str, Any]      						= [f'<lang:{lang}>' for lang in self.langs]
															a__	:							List[Any]      						= {lang: self.sp_model.PieceToId(f'<lang:{lang}>'				) for lang in self.langs}

															a__	:							Optional[int]      						= self.lang_tokens
															a__	:							Tuple      						= tgt_lang if tgt_lang is not None else self.langs[0]

															self.set_tgt_lang_special_tokens(self._tgt_lang				)
											else:
															a__	:							Tuple      						= {}



							@property
							def 		_A	(							self				):







											"""simple docstring"""



											return len(self.encoder				)



							@property
							def 		_A	(							self				):







											"""simple docstring"""



											return self._tgt_lang



							@tgt_lang.setter
							def 		_A	(							self ,					__UpperCAmelCase				):







											"""simple docstring"""



											a__	:							str      						= new_tgt_lang
											self.set_tgt_lang_special_tokens(__UpperCAmelCase				)



							def 		_A	(							self ,					__UpperCAmelCase				):







											"""simple docstring"""



											a__	:							List[str]      						= self.lang_code_to_id[tgt_lang]
											a__	:							Dict      						= [lang_code_id]



							def 		_A	(							self ,					__UpperCAmelCase				):







											"""simple docstring"""



											return self.sp_model.encode(__UpperCAmelCase ,					out_type=__UpperCAmelCase				)



							def 		_A	(							self ,					__UpperCAmelCase				):







											"""simple docstring"""



											return self.encoder.get(__UpperCAmelCase ,					self.encoder[self.unk_token]				)



							def 		_A	(							self ,					__UpperCAmelCase				):







											"""simple docstring"""



											return self.decoder.get(__UpperCAmelCase ,					self.unk_token				)



							def 		_A	(							self ,					__UpperCAmelCase				):







											"""simple docstring"""



											a__	:							Dict      						= []
											a__	:							Tuple      						= ""
											for token in tokens:
															# make sure that special tokens are not decoded using sentencepiece model
															if token in self.all_special_tokens:
																			a__	:							Optional[int]      						= self.sp_model.decode(__UpperCAmelCase				)
																			out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
																			a__	:							Optional[int]      						= []
															else:
																			current_sub_tokens.append(__UpperCAmelCase				)
											a__	:							Union[str, Any]      						= self.sp_model.decode(__UpperCAmelCase				)
											out_string += decoded.upper() if self.do_upper_case else decoded
											return out_string.strip()



							def 		_A	(							self ,					__UpperCAmelCase ,					__UpperCAmelCase=None				):







											"""simple docstring"""



											if token_ids_a is None:
															return self.prefix_tokens + token_ids_a + [self.eos_token_id]
											# We don't expect to process pairs, but leave the pair logic for API consistency
											return self.prefix_tokens + token_ids_a + token_ids_a + [self.eos_token_id]



							def 		_A	(							self ,					__UpperCAmelCase ,					__UpperCAmelCase = None ,					__UpperCAmelCase = False				):







											"""simple docstring"""



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

											a__	:							int      						= [1] * len(self.prefix_tokens				)
											a__	:							str      						= [1]
											if token_ids_a is None:
															return prefix_ones + ([0] * len(__UpperCAmelCase				)) + suffix_ones
											return prefix_ones + ([0] * len(__UpperCAmelCase				)) + ([0] * len(__UpperCAmelCase				)) + suffix_ones



							def 		_A	(							self				):







											"""simple docstring"""



											a__	:							Optional[int]      						= self.encoder.copy()
											vocab.update(self.added_tokens_encoder				)
											return vocab



							def __getstate__(							self				):







											"""simple docstring"""



											a__	:							Any      						= self.__dict__.copy()
											a__	:							List[str]      						= None
											return state



							def __setstate__(							self ,					__UpperCAmelCase				):







											"""simple docstring"""



											a__	:							Optional[int]      						= d

											# for backward compatibility
											if not hasattr(self ,					"sp_model_kwargs"				):
															a__	:							List[str]      						= {}

											a__	:							Union[str, Any]      						= load_spm(self.spm_file ,					self.sp_model_kwargs				)




							def 		_A	(							self ,					__UpperCAmelCase ,					__UpperCAmelCase = None				):







											"""simple docstring"""



											a__	:							int      						= Path(__UpperCAmelCase				)
											assert save_dir.is_dir(), f'{save_directory} should be a directory'
											a__	:							List[str]      						= save_dir / (
											    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
											)
											a__	:							Union[str, Any]      						= save_dir / (
											    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
											)

											save_json(self.encoder ,					__UpperCAmelCase				)

											if os.path.abspath(self.spm_file				) != os.path.abspath(__UpperCAmelCase				) and os.path.isfile(self.spm_file				):
															copyfile(self.spm_file ,					__UpperCAmelCase				)
											elif not os.path.isfile(self.spm_file				):
															with open(__UpperCAmelCase ,					"wb"				) as fi:
																			a__	:							Any      						= self.sp_model.serialized_model_proto()
																			fi.write(__UpperCAmelCase				)

											return (str(__UpperCAmelCase				), str(__UpperCAmelCase				))






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase	,				__UpperCamelCase )	->						sentencepiece.SentencePieceProcessor:
				a__	:							str      						= sentencepiece.SentencePieceProcessor(**__UpperCamelCase )
				spm.Load(str(__UpperCamelCase ) )
				return spm






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase )	->						Union[Dict, List]:
				with open(__UpperCamelCase	,				"r" ) as f:
								return json.load(__UpperCamelCase )






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase	,				__UpperCamelCase )	->						None:
				with open(__UpperCamelCase	,				"w" ) as f:
								json.dump(__UpperCamelCase	,				__UpperCamelCase	,				indent=2 )







from __future__ import annotations

import queue


class 				_a						:





							'''simple docstring'''

							def __init__(							self ,					__UpperCAmelCase				):







											"""simple docstring"""



											a__	:							Union[str, Any]      						= data
											a__	:							Tuple      						= None
											a__	:							Optional[Any]      						= None






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






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase )	->						None:
				if not isinstance(__UpperCamelCase	,				__UpperCamelCase ) or not node:
								return
				print(node.data	,				end="," )
				pre_order(node.left )
				pre_order(node.right )






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase )	->						None:
				if not isinstance(__UpperCamelCase	,				__UpperCamelCase ) or not node:
								return
				in_order(node.left )
				print(node.data	,				end="," )
				in_order(node.right )






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase )	->						None:
				if not isinstance(__UpperCamelCase	,				__UpperCamelCase ) or not node:
								return
				post_order(node.left )
				post_order(node.right )
				print(node.data	,				end="," )






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase )	->						None:
				if not isinstance(__UpperCamelCase	,				__UpperCamelCase ) or not node:
								return
				a__	:							queue.Queue      						= queue.Queue()
				q.put(__UpperCamelCase )
				while not q.empty():
								a__	:							Tuple      						= 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(      __UpperCamelCase )	->						None:
				if not isinstance(__UpperCamelCase	,				__UpperCamelCase ) or not node:
								return
				a__	:							queue.Queue      						= queue.Queue()
				q.put(__UpperCamelCase )
				while not q.empty():
								a__	:							int      						= []
								while not q.empty():
												a__	:							Union[str, Any]      						= 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(__UpperCamelCase )






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase )	->						None:
				if not isinstance(__UpperCamelCase	,				__UpperCamelCase ) or not node:
								return
				a__	:							list[TreeNode]      						= []
				a__	:							Optional[int]      						= node
				while n or stack:
								while n:  # start from root node, find its left child
												print(n.data	,				end="," )
												stack.append(__UpperCamelCase )
												a__	:							int      						= n.left
								# end of while means current node doesn't have left child
								a__	:							Dict      						= stack.pop()
								# start to traverse its right child
								a__	:							str      						= n.right






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase )	->						None:
				if not isinstance(__UpperCamelCase	,				__UpperCamelCase ) or not node:
								return
				a__	:							list[TreeNode]      						= []
				a__	:							Dict      						= node
				while n or stack:
								while n:
												stack.append(__UpperCamelCase )
												a__	:							List[Any]      						= n.left
								a__	:							str      						= stack.pop()
								print(n.data	,				end="," )
								a__	:							Any      						= n.right






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase )	->						None:
				if not isinstance(__UpperCamelCase	,				__UpperCamelCase ) or not node:
								return
				a__						,   a__	:							List[str]      						= [], []
				a__	:							List[Any]      						= node
				stacka.append(__UpperCamelCase )
				while stacka:  # to find the reversed order of post order, store it in stack2
								a__	:							Optional[Any]      						= stacka.pop()
								if n.left:
												stacka.append(n.left )
								if n.right:
												stacka.append(n.right )
								stacka.append(__UpperCamelCase )
				while stacka:  # pop up from stack2 will be the post order
								print(stacka.pop().data	,				end="," )






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase = ""	,				__UpperCamelCase=50	,				__UpperCamelCase="*" )	->						str:
				if not s:
								return "\n" + width * char
				a__						,   a__	:							int      						= divmod(width - len(__UpperCamelCase ) - 2	,				2 )
				return F'{left * char} {s} {(left + extra) * char}'


if __name__ == "__main__":
						import doctest

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

						lowerCamelCase		       =      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())


