


'''simple docstring'''






import os
from shutil import copyfile
from typing import List, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
						from .tokenization_mbartaa import MBartaaTokenizer
else:
						_A      =     None


_A      =     logging.get_logger(__name__)

_A      =     {"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

_A      =     {
    """vocab_file""": {
        """facebook/mbart-large-50-one-to-many-mmt""": (
            """https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """facebook/mbart-large-50-one-to-many-mmt""": (
            """https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/tokenizer.json"""
        ),
    },
}

_A      =     {
    """facebook/mbart-large-50-one-to-many-mmt""": 10_24,
}

# fmt: off
_A      =     ["""ar_AR""", """cs_CZ""", """de_DE""", """en_XX""", """es_XX""", """et_EE""", """fi_FI""", """fr_XX""", """gu_IN""", """hi_IN""", """it_IT""", """ja_XX""", """kk_KZ""", """ko_KR""", """lt_LT""", """lv_LV""", """my_MM""", """ne_NP""", """nl_XX""", """ro_RO""", """ru_RU""", """si_LK""", """tr_TR""", """vi_VN""", """zh_CN""", """af_ZA""", """az_AZ""", """bn_IN""", """fa_IR""", """he_IL""", """hr_HR""", """id_ID""", """ka_GE""", """km_KH""", """mk_MK""", """ml_IN""", """mn_MN""", """mr_IN""", """pl_PL""", """ps_AF""", """pt_XX""", """sv_SE""", """sw_KE""", """ta_IN""", """te_IN""", """th_TH""", """tl_XX""", """uk_UA""", """ur_PK""", """xh_ZA""", """gl_ES""", """sl_SI"""]






class      SCREAMING_SNAKE_CASE_	( snake_case		):
			__a					:      int					=  VOCAB_FILES_NAMES
			__a					:      str					=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__a					:      List[str]					=  PRETRAINED_VOCAB_FILES_MAP
			__a					:      List[Any]					=  ['''input_ids''', '''attention_mask''']
			__a					:      str					=  MBartaaTokenizer

			__a					:      List[int]					=  []
			__a					:      List[int]					=  []




			def __init__(      self					,      lowercase=None					,      lowercase=None					,      lowercase=None					,      lowercase=None					,      lowercase="</s>"					,      lowercase="</s>"					,      lowercase="<s>"					,      lowercase="<unk>"					,      lowercase="<pad>"					,      lowercase="<mask>"					,      **lowercase					,      )			->						Optional[Any]:


								'''simple docstring'''






								__SCREAMING_SNAKE_CASE					:							Optional[Any]			   = AddedToken(lowercase					,      lstrip=lowercase					,      rstrip=lowercase       ) if isinstance(lowercase					,      lowercase       ) else mask_token

								__SCREAMING_SNAKE_CASE					:							List[Any]			   = kwargs.get('''additional_special_tokens'''					,      []       )
								kwargs["additional_special_tokens"] += [
								    code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
								]

								super().__init__(
								    lowercase					,      src_lang=lowercase					,      tgt_lang=lowercase					,      tokenizer_file=lowercase					,      eos_token=lowercase					,      sep_token=lowercase					,      cls_token=lowercase					,      unk_token=lowercase					,      pad_token=lowercase					,      mask_token=lowercase					,      **lowercase					,      )

								__SCREAMING_SNAKE_CASE					:							Any			   = vocab_file
								__SCREAMING_SNAKE_CASE					:							int			   = False if not self.vocab_file else True

								__SCREAMING_SNAKE_CASE					:							Tuple			   = {
								    lang_code: self.convert_tokens_to_ids(lowercase       ) for lang_code in FAIRSEQ_LANGUAGE_CODES
								}

								__SCREAMING_SNAKE_CASE					:							Any			   = src_lang if src_lang is not None else '''en_XX'''
								__SCREAMING_SNAKE_CASE					:							Any			   = tgt_lang
								__SCREAMING_SNAKE_CASE					:							Dict			   = self.lang_code_to_id[self._src_lang]
								self.set_src_lang_special_tokens(self._src_lang       )




			@property
			def 			_snake_case   (      self       )			->						str:


								'''simple docstring'''






								return self._src_lang




			@src_lang.setter
			def 			_snake_case   (      self					,      lowercase       )			->						None:


								'''simple docstring'''






								__SCREAMING_SNAKE_CASE					:							List[Any]			   = new_src_lang
								self.set_src_lang_special_tokens(self._src_lang       )




			def 			_snake_case   (      self					,      lowercase					,      lowercase = None       )			->						List[int]:


								'''simple docstring'''






								if token_ids_a is None:
													return self.prefix_tokens + token_ids_a + self.suffix_tokens
								# 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.suffix_tokens




			def 			_snake_case   (      self					,      lowercase					,      lowercase = "en_XX"					,      lowercase = None					,      lowercase = "ro_RO"					,      **lowercase					,      )			->						BatchEncoding:


								'''simple docstring'''






								__SCREAMING_SNAKE_CASE					:							Union[str, Any]			   = src_lang
								__SCREAMING_SNAKE_CASE					:							str			   = tgt_lang
								return super().prepare_seqaseq_batch(lowercase					,      lowercase					,      **lowercase       )




			def 			_snake_case   (      self       )			->						Optional[Any]:


								'''simple docstring'''






								return self.set_src_lang_special_tokens(self.src_lang       )




			def 			_snake_case   (      self       )			->						str:


								'''simple docstring'''






								return self.set_tgt_lang_special_tokens(self.tgt_lang       )




			def 			_snake_case   (      self					,      lowercase       )			->						None:


								'''simple docstring'''






								__SCREAMING_SNAKE_CASE					:							Dict			   = self.convert_tokens_to_ids(lowercase       )
								__SCREAMING_SNAKE_CASE					:							Optional[int]			   = [self.cur_lang_code_id]
								__SCREAMING_SNAKE_CASE					:							List[str]			   = [self.eos_token_id]

								__SCREAMING_SNAKE_CASE					:							int			   = self.convert_ids_to_tokens(self.prefix_tokens       )
								__SCREAMING_SNAKE_CASE					:							Optional[Any]			   = self.convert_ids_to_tokens(self.suffix_tokens       )

								__SCREAMING_SNAKE_CASE					:							str			   = processors.TemplateProcessing(
								    single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str					,      pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str					,      special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str					,      self.prefix_tokens + self.suffix_tokens       )       )					,      )




			def 			_snake_case   (      self					,      lowercase       )			->						None:


								'''simple docstring'''






								__SCREAMING_SNAKE_CASE					:							Any			   = self.convert_tokens_to_ids(lowercase       )
								__SCREAMING_SNAKE_CASE					:							Any			   = [self.cur_lang_code_id]
								__SCREAMING_SNAKE_CASE					:							List[str]			   = [self.eos_token_id]

								__SCREAMING_SNAKE_CASE					:							Any			   = self.convert_ids_to_tokens(self.prefix_tokens       )
								__SCREAMING_SNAKE_CASE					:							Dict			   = self.convert_ids_to_tokens(self.suffix_tokens       )

								__SCREAMING_SNAKE_CASE					:							str			   = processors.TemplateProcessing(
								    single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str					,      pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str					,      special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str					,      self.prefix_tokens + self.suffix_tokens       )       )					,      )




			def 			_snake_case   (      self					,      lowercase					,      lowercase					,      lowercase					,      lowercase					,      **lowercase       )			->						Union[str, Any]:


								'''simple docstring'''






								if src_lang is None or tgt_lang is None:
													raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''       )
								__SCREAMING_SNAKE_CASE					:							List[Any]			   = src_lang
								__SCREAMING_SNAKE_CASE					:							List[Any]			   = self(lowercase					,      add_special_tokens=lowercase					,      return_tensors=lowercase					,      **lowercase       )
								__SCREAMING_SNAKE_CASE					:							Union[str, Any]			   = self.convert_tokens_to_ids(lowercase       )
								__SCREAMING_SNAKE_CASE					:							int			   = tgt_lang_id
								return inputs




			def 			_snake_case   (      self					,      lowercase					,      lowercase = None       )			->						Tuple[str]:


								'''simple docstring'''






								if not self.can_save_slow_tokenizer:
													raise ValueError(
													    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
													    '''tokenizer.'''       )

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

								if os.path.abspath(self.vocab_file       ) != os.path.abspath(lowercase       ):
													copyfile(self.vocab_file					,      lowercase       )

								return (out_vocab_file,)






'''simple docstring'''






from .balanced_parentheses import balanced_parentheses
from .stack import Stack


def A_					(				__SCREAMING_SNAKE_CASE :					str       )     ->  int:
					return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(__SCREAMING_SNAKE_CASE	,   -1       )


def A_					(				__SCREAMING_SNAKE_CASE :					str       )     ->  str:
					if not balanced_parentheses(__SCREAMING_SNAKE_CASE       ):
										raise ValueError('''Mismatched parentheses'''       )
					__SCREAMING_SNAKE_CASE					:							Stack[str]			   = Stack()
					__SCREAMING_SNAKE_CASE					:							Optional[Any]			   = []
					for char in expression_str:
										if char.isalpha() or char.isdigit():
															postfix.append(__SCREAMING_SNAKE_CASE       )
										elif char == "(":
															stack.push(__SCREAMING_SNAKE_CASE       )
										elif char == ")":
															while not stack.is_empty() and stack.peek() != "(":
																				postfix.append(stack.pop()       )
															stack.pop()
										else:
															while not stack.is_empty() and precedence(__SCREAMING_SNAKE_CASE       ) <= precedence(stack.peek()       ):
																				postfix.append(stack.pop()       )
															stack.push(__SCREAMING_SNAKE_CASE       )
					while not stack.is_empty():
										postfix.append(stack.pop()       )
					return " ".join(__SCREAMING_SNAKE_CASE       )


if __name__ == "__main__":
						from doctest import testmod

						testmod()
						_A      =     """a+b*(c^d-e)^(f+g*h)-i"""

						print("""Infix to Postfix Notation demonstration:\n""")
						print("""Infix notation: """ + expression)
						print("""Postfix notation: """ + infix_to_postfix(expression))


