




"""simple docstring"""






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 BatchEncoding, PreTrainedTokenizer
from ...utils import logging


lowercase__			=		logging.get_logger(__name__)

lowercase__			=		"""▁"""

lowercase__			=		{
    """vocab_file""": """vocab.json""",
    """spm_file""": """sentencepiece.bpe.model""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

lowercase__			=		{
    """vocab_file""": {
        """facebook/m2m100_418M""": """https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json""",
        """facebook/m2m100_1.2B""": """https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json""",
    },
    """spm_file""": {
        """facebook/m2m100_418M""": """https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model""",
        """facebook/m2m100_1.2B""": """https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model""",
    },
    """tokenizer_config_file""": {
        """facebook/m2m100_418M""": """https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json""",
        """facebook/m2m100_1.2B""": """https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json""",
    },
}

lowercase__			=		{
    """facebook/m2m100_418M""": 1024,
}

# fmt: off
lowercase__			=		{
    """m2m100""": ["""af""", """am""", """ar""", """ast""", """az""", """ba""", """be""", """bg""", """bn""", """br""", """bs""", """ca""", """ceb""", """cs""", """cy""", """da""", """de""", """el""", """en""", """es""", """et""", """fa""", """ff""", """fi""", """fr""", """fy""", """ga""", """gd""", """gl""", """gu""", """ha""", """he""", """hi""", """hr""", """ht""", """hu""", """hy""", """id""", """ig""", """ilo""", """is""", """it""", """ja""", """jv""", """ka""", """kk""", """km""", """kn""", """ko""", """lb""", """lg""", """ln""", """lo""", """lt""", """lv""", """mg""", """mk""", """ml""", """mn""", """mr""", """ms""", """my""", """ne""", """nl""", """no""", """ns""", """oc""", """or""", """pa""", """pl""", """ps""", """pt""", """ro""", """ru""", """sd""", """si""", """sk""", """sl""", """so""", """sq""", """sr""", """ss""", """su""", """sv""", """sw""", """ta""", """th""", """tl""", """tn""", """tr""", """uk""", """ur""", """uz""", """vi""", """wo""", """xh""", """yi""", """yo""", """zh""", """zu"""],
    """wmt21""": ["""en""", """ha""", """is""", """ja""", """cs""", """ru""", """zh""", """de"""]
}






class lowerCAmelCase__      (	lowercase		):






			'''simple docstring'''



			lowerCamelCase__ =     VOCAB_FILES_NAMES
			lowerCamelCase__ =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase__ =     PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase__ =     ["""input_ids""", """attention_mask"""]

			lowerCamelCase__ =     []
			lowerCamelCase__ =     []
			def __init__(    self    , lowercase    , lowercase    , lowercase=None    , lowercase=None    , lowercase="<s>"    , lowercase="</s>"    , lowercase="</s>"    , lowercase="<pad>"    , lowercase="<unk>"    , lowercase="m2m100"    , lowercase = None    , lowercase=8    , **lowercase    , ):
							_lowerCamelCase	:     Dict       =       {} if sp_model_kwargs is None else sp_model_kwargs

							_lowerCamelCase	:     Optional[int]       =       language_codes
							_lowerCamelCase	:     Dict       =       FAIRSEQ_LANGUAGE_CODES[language_codes]
							_lowerCamelCase	:     Optional[int]       =       {lang_code: F'''__{lang_code}__''' for lang_code in fairseq_language_code}

							_lowerCamelCase	:     Dict       =       kwargs.get('additional_special_tokens'    , []    )
							kwargs["additional_special_tokens"] += [
							    self.get_lang_token(lowercase    )
							    for lang_code in fairseq_language_code
							    if self.get_lang_token(lowercase    ) not in kwargs["additional_special_tokens"]
							]

							super().__init__(
							    src_lang=lowercase    , tgt_lang=lowercase    , bos_token=lowercase    , eos_token=lowercase    , sep_token=lowercase    , unk_token=lowercase    , pad_token=lowercase    , language_codes=lowercase    , sp_model_kwargs=self.sp_model_kwargs    , num_madeup_words=lowercase    , **lowercase    , )

							_lowerCamelCase	:     Union[str, Any]       =       vocab_file
							_lowerCamelCase	:     Optional[int]       =       load_json(lowercase    )
							_lowerCamelCase	:     List[str]       =       {v: k for k, v in self.encoder.items()}
							_lowerCamelCase	:     List[str]       =       spm_file
							_lowerCamelCase	:     Union[str, Any]       =       load_spm(lowercase    , self.sp_model_kwargs    )

							_lowerCamelCase	:     Optional[int]       =       len(self.encoder    )

							_lowerCamelCase	:     Any       =       {
							    self.get_lang_token(lowercase    ): self.encoder_size + i for i, lang_code in enumerate(lowercase    )
							}
							_lowerCamelCase	:     Union[str, Any]       =       {lang_code: self.encoder_size + i for i, lang_code in enumerate(lowercase    )}
							_lowerCamelCase	:     Any       =       {v: k for k, v in self.lang_token_to_id.items()}

							_lowerCamelCase	:     List[str]       =       src_lang if src_lang is not None else 'en'
							_lowerCamelCase	:     Dict       =       tgt_lang
							_lowerCamelCase	:     List[str]       =       self.get_lang_id(self._src_lang    )
							self.set_src_lang_special_tokens(self._src_lang    )

							_lowerCamelCase	:     List[str]       =       num_madeup_words
			@property
			def    A_       (    self    ):
							return len(self.encoder    ) + len(self.lang_token_to_id    )
			@property
			def    A_       (    self    ):
							return self._src_lang
			@src_lang.setter
			def    A_       (    self    , lowercase    ):
							_lowerCamelCase	:     Union[str, Any]       =       new_src_lang
							self.set_src_lang_special_tokens(self._src_lang    )
			def    A_       (    self    , lowercase    ):
							return self.sp_model.encode(lowercase    , out_type=lowercase    )
			def    A_       (    self    , lowercase    ):
							if token in self.lang_token_to_id:
											return self.lang_token_to_id[token]
							return self.encoder.get(lowercase    , self.encoder[self.unk_token]    )
			def    A_       (    self    , lowercase    ):
							if index in self.id_to_lang_token:
											return self.id_to_lang_token[index]
							return self.decoder.get(lowercase    , self.unk_token    )
			def    A_       (    self    , lowercase    ):
							_lowerCamelCase	:     str       =       []
							_lowerCamelCase	:     List[str]       =       ''
							for token in tokens:
											# make sure that special tokens are not decoded using sentencepiece model
											if token in self.all_special_tokens:
															out_string += self.sp_model.decode(lowercase    ) + token
															_lowerCamelCase	:     Dict       =       []
											else:
															current_sub_tokens.append(lowercase    )
							out_string += self.sp_model.decode(lowercase    )
							return out_string.strip()
			def    A_       (    self    , lowercase    , lowercase = None    , lowercase = False    ):

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

							_lowerCamelCase	:     Dict       =       [1] * len(self.prefix_tokens    )
							_lowerCamelCase	:     Any       =       [1] * len(self.suffix_tokens    )
							if token_ids_a is None:
											return prefix_ones + ([0] * len(lowercase    )) + suffix_ones
							return prefix_ones + ([0] * len(lowercase    )) + ([0] * len(lowercase    )) + suffix_ones
			def    A_       (    self    , lowercase    , lowercase = None    ):
							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    A_       (    self    ):
							_lowerCamelCase	:     List[Any]       =       {self.convert_ids_to_tokens(lowercase    ): i for i in range(self.vocab_size    )}
							vocab.update(self.added_tokens_encoder    )
							return vocab
			def __getstate__(    self    ):
							_lowerCamelCase	:     Tuple       =       self.__dict__.copy()
							_lowerCamelCase	:     Dict       =       None
							return state
			def __setstate__(    self    , lowercase    ):
							_lowerCamelCase	:     Any       =       d

							# for backward compatibility
							if not hasattr(self    , 'sp_model_kwargs'    ):
											_lowerCamelCase	:     Union[str, Any]       =       {}

							_lowerCamelCase	:     List[str]       =       load_spm(self.spm_file    , self.sp_model_kwargs    )
			def    A_       (    self    , lowercase    , lowercase = None    ):
							_lowerCamelCase	:     Dict       =       Path(lowercase    )
							if not save_dir.is_dir():
											raise OSError(F'''{save_directory} should be a directory'''    )
							_lowerCamelCase	:     Any       =       save_dir / (
							    (filename_prefix + '-' if filename_prefix else '') + self.vocab_files_names['vocab_file']
							)
							_lowerCamelCase	:     Union[str, Any]       =       save_dir / (
							    (filename_prefix + '-' if filename_prefix else '') + self.vocab_files_names['spm_file']
							)

							save_json(self.encoder    , lowercase    )

							if os.path.abspath(self.spm_file    ) != os.path.abspath(lowercase    ) and os.path.isfile(self.spm_file    ):
											copyfile(self.spm_file    , lowercase    )
							elif not os.path.isfile(self.spm_file    ):
											with open(lowercase    , 'wb'    ) as fi:
															_lowerCamelCase	:     Optional[int]       =       self.sp_model.serialized_model_proto()
															fi.write(lowercase    )

							return (str(lowercase    ), str(lowercase    ))
			def    A_       (    self    , lowercase    , lowercase = "en"    , lowercase = None    , lowercase = "ro"    , **lowercase    , ):
							_lowerCamelCase	:     List[str]       =       src_lang
							_lowerCamelCase	:     Union[str, Any]       =       tgt_lang
							self.set_src_lang_special_tokens(self.src_lang    )
							return super().prepare_seqaseq_batch(lowercase    , lowercase    , **lowercase    )
			def    A_       (    self    , lowercase    , lowercase    , lowercase    , **lowercase    ):
							if src_lang is None or tgt_lang is None:
											raise ValueError('Translation requires a `src_lang` and a `tgt_lang` for this model'    )
							_lowerCamelCase	:     List[str]       =       src_lang
							_lowerCamelCase	:     List[str]       =       self(lowercase    , add_special_tokens=lowercase    , **lowercase    )
							_lowerCamelCase	:     Optional[int]       =       self.get_lang_id(lowercase    )
							_lowerCamelCase	:     Dict       =       tgt_lang_id
							return inputs
			def    A_       (    self    ):
							self.set_src_lang_special_tokens(self.src_lang    )
			def    A_       (    self    ):
							self.set_tgt_lang_special_tokens(self.tgt_lang    )
			def    A_       (    self    , lowercase    ):
							_lowerCamelCase	:     Optional[Any]       =       self.get_lang_token(lowercase    )
							_lowerCamelCase	:     List[str]       =       self.lang_token_to_id[lang_token]
							_lowerCamelCase	:     List[str]       =       [self.cur_lang_id]
							_lowerCamelCase	:     int       =       [self.eos_token_id]
			def    A_       (    self    , lowercase    ):
							_lowerCamelCase	:     Union[str, Any]       =       self.get_lang_token(lowercase    )
							_lowerCamelCase	:     Optional[Any]       =       self.lang_token_to_id[lang_token]
							_lowerCamelCase	:     Optional[Any]       =       [self.cur_lang_id]
							_lowerCamelCase	:     Dict       =       [self.eos_token_id]
			def    A_       (    self    , lowercase    ):
							return self.lang_code_to_token[lang]






			def    A_       (    self    , lowercase    ):
							_lowerCamelCase	:     Dict       =       self.get_lang_token(lowercase    )
							return self.lang_token_to_id[lang_token]







def 	_snake_case     (							lowercase__				,       lowercase__						):
				_lowerCamelCase	:     Any       =       sentencepiece.SentencePieceProcessor(**lowercase__						)
				spm.Load(str(lowercase__						)						)
				return spm







def 	_snake_case     (							lowercase__						):
				with open(lowercase__				,       'r'						) as f:
								return json.load(lowercase__						)







def 	_snake_case     (							lowercase__				,       lowercase__						):
				with open(lowercase__				,       'w'						) as f:
								json.dump(lowercase__				,       lowercase__				,       indent=2						)





"""simple docstring"""






from diffusers.utils.testing_utils import require_onnxruntime






@require_onnxruntime
class lowerCAmelCase__      :






			'''simple docstring'''



			pass