



'''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


lowerCAmelCase:      List[Any]		 =		logging.get_logger(__name__)

lowerCAmelCase:      Optional[Any]		 =		'▁'

lowerCAmelCase:      Any		 =		{
    'vocab_file': 'vocab.json',
    'spm_file': 'sentencepiece.bpe.model',
    'tokenizer_config_file': 'tokenizer_config.json',
}

lowerCAmelCase:      Optional[int]		 =		{
    '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',
    },
}

lowerCAmelCase:      int		 =		{
    'facebook/m2m100_418M': 1_0_2_4,
}

# fmt: off
lowerCAmelCase:      Dict		 =		{
    '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 							a__(      lowerCamelCase__			):
				lowercase__				=					VOCAB_FILES_NAMES
				lowercase__				=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowercase__				=					PRETRAINED_VOCAB_FILES_MAP
				lowercase__				=					["""input_ids""", """attention_mask"""]

				lowercase__				=					[]
				lowercase__				=					[]







				def __init__(   self				:						Any		,    __snake_case				:						str		,    __snake_case				:						Union[str, Any]		,    __snake_case				:						Union[str, Any]=None		,    __snake_case				:						Tuple=None		,    __snake_case				:						str="<s>"		,    __snake_case				:						str="</s>"		,    __snake_case				:						Union[str, Any]="</s>"		,    __snake_case				:						List[Any]="<pad>"		,    __snake_case				:						Dict="<unk>"		,    __snake_case				:						Optional[int]="m2m100"		,    __snake_case				:						Optional[Dict[str, Any]] = None		,    __snake_case				:						str=8		,    **__snake_case				:						Tuple		,    ):
						a		:      int       =  {} if sp_model_kwargs is None else sp_model_kwargs

						a		:      str       =  language_codes
						a		:      Optional[Any]       =  FAIRSEQ_LANGUAGE_CODES[language_codes]
						a		:      Optional[int]       =  {lang_code: F"""__{lang_code}__""" for lang_code in fairseq_language_code}

						a		:      Any       =  kwargs.get('additional_special_tokens'		,    []			)
						kwargs["additional_special_tokens"] += [
						    self.get_lang_token(__snake_case			)
						    for lang_code in fairseq_language_code
						    if self.get_lang_token(__snake_case			) not in kwargs["additional_special_tokens"]
						]

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

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

						a		:      str       =  len(self.encoder			)

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

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

						a		:      Tuple       =  num_madeup_words







				@property
				def     lowercase_ (   self				:						int			):
						return len(self.encoder			) + len(self.lang_token_to_id			)







				@property
				def     lowercase_ (   self				:						Tuple			):
						return self._src_lang







				@src_lang.setter
				def     lowercase_ (   self				:						Tuple		,    __snake_case				:						str			):
						a		:      Dict       =  new_src_lang
						self.set_src_lang_special_tokens(self._src_lang			)







				def     lowercase_ (   self				:						Dict		,    __snake_case				:						str			):
						return self.sp_model.encode(__snake_case		,    out_type=__snake_case			)







				def     lowercase_ (   self				:						Dict		,    __snake_case				:						Any			):
						if token in self.lang_token_to_id:
								return self.lang_token_to_id[token]
						return self.encoder.get(__snake_case		,    self.encoder[self.unk_token]			)







				def     lowercase_ (   self				:						Optional[int]		,    __snake_case				:						int			):
						if index in self.id_to_lang_token:
								return self.id_to_lang_token[index]
						return self.decoder.get(__snake_case		,    self.unk_token			)







				def     lowercase_ (   self				:						Tuple		,    __snake_case				:						Dict			):
						a		:      Dict       =  []
						a		:      Optional[Any]       =  ''
						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(__snake_case			) + token
										a		:      int       =  []
								else:
										current_sub_tokens.append(__snake_case			)
						out_string += self.sp_model.decode(__snake_case			)
						return out_string.strip()







				def     lowercase_ (   self				:						Optional[Any]		,    __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			)

						a		:      Optional[int]       =  [1] * len(self.prefix_tokens			)
						a		:      Optional[int]       =  [1] * len(self.suffix_tokens			)
						if token_ids_a is None:
								return prefix_ones + ([0] * len(__snake_case			)) + suffix_ones
						return prefix_ones + ([0] * len(__snake_case			)) + ([0] * len(__snake_case			)) + suffix_ones







				def     lowercase_ (   self				:						Dict		,    __snake_case				:						List[int]		,    __snake_case				:						Optional[List[int]] = 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     lowercase_ (   self				:						Tuple			):
						a		:      Optional[Any]       =  {self.convert_ids_to_tokens(__snake_case			): i for i in range(self.vocab_size			)}
						vocab.update(self.added_tokens_encoder			)
						return vocab







				def __getstate__(   self				:						Optional[int]			):
						a		:      Optional[int]       =  self.__dict__.copy()
						a		:      List[str]       =  None
						return state







				def __setstate__(   self				:						Any		,    __snake_case				:						Dict			):
						a		:      Tuple       =  d

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

						a		:      Any       =  load_spm(self.spm_file		,    self.sp_model_kwargs			)







				def     lowercase_ (   self				:						int		,    __snake_case				:						str		,    __snake_case				:						Optional[str] = None			):
						a		:      List[str]       =  Path(__snake_case			)
						if not save_dir.is_dir():
								raise OSError(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		:      List[str]       =  save_dir / (
						    (filename_prefix + '-' if filename_prefix else '') + self.vocab_files_names['spm_file']
						)

						save_json(self.encoder		,    __snake_case			)

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

						return (str(__snake_case			), str(__snake_case			))







				def     lowercase_ (   self				:						Union[str, Any]		,    __snake_case				:						List[str]		,    __snake_case				:						str = "en"		,    __snake_case				:						Optional[List[str]] = None		,    __snake_case				:						str = "ro"		,    **__snake_case				:						List[Any]		,    ):
						a		:      List[str]       =  src_lang
						a		:      List[str]       =  tgt_lang
						self.set_src_lang_special_tokens(self.src_lang			)
						return super().prepare_seqaseq_batch(__snake_case		,    __snake_case		,    **__snake_case			)







				def     lowercase_ (   self				:						str		,    __snake_case				:						Any		,    __snake_case				:						Optional[str]		,    __snake_case				:						Optional[str]		,    **__snake_case				:						Tuple			):
						if src_lang is None or tgt_lang is None:
								raise ValueError('Translation requires a `src_lang` and a `tgt_lang` for this model'			)
						a		:      Tuple       =  src_lang
						a		:      Optional[Any]       =  self(__snake_case		,    add_special_tokens=__snake_case		,    **__snake_case			)
						a		:      Union[str, Any]       =  self.get_lang_id(__snake_case			)
						a		:      List[str]       =  tgt_lang_id
						return inputs







				def     lowercase_ (   self				:						Tuple			):
						self.set_src_lang_special_tokens(self.src_lang			)







				def     lowercase_ (   self				:						Optional[Any]			):
						self.set_tgt_lang_special_tokens(self.tgt_lang			)







				def     lowercase_ (   self				:						Tuple		,    __snake_case				:						str			):
						a		:      Dict       =  self.get_lang_token(__snake_case			)
						a		:      Optional[int]       =  self.lang_token_to_id[lang_token]
						a		:      Optional[int]       =  [self.cur_lang_id]
						a		:      Optional[Any]       =  [self.eos_token_id]







				def     lowercase_ (   self				:						List[Any]		,    __snake_case				:						str			):
						a		:      Union[str, Any]       =  self.get_lang_token(__snake_case			)
						a		:      Optional[int]       =  self.lang_token_to_id[lang_token]
						a		:      Any       =  [self.cur_lang_id]
						a		:      int       =  [self.eos_token_id]







				def     lowercase_ (   self				:						int		,    __snake_case				:						str			):
						return self.lang_code_to_token[lang]







				def     lowercase_ (   self				:						Optional[int]		,    __snake_case				:						str			):
						a		:      Optional[int]       =  self.get_lang_token(__snake_case			)
						return self.lang_token_to_id[lang_token]
def    lowerCamelCase__ (		_A				,    _A       ):
		a		:      Optional[int]       =  sentencepiece.SentencePieceProcessor(**_A       )
		spm.Load(str(_A       )       )
		return spm
def    lowerCamelCase__ (		_A       ):
		with open(_A				,    'r'       ) as f:
				return json.load(_A       )

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




'''simple docstring'''






from ..utils import DummyObject, requires_backends

class 							a__(      metaclass=lowerCamelCase__			):
    lowercase__				=					["""torch""", """torchsde"""]







    def __init__(   self				:						Any		,    *__snake_case				:						List[str]		,    **__snake_case				:						Tuple			):
      requires_backends(self		,    ['torch', 'torchsde']			)







    @classmethod
    def     lowercase_ (   cls				:						List[Any]		,    *__snake_case				:						str		,    **__snake_case				:						List[Any]			):
      requires_backends(cls		,    ['torch', 'torchsde']			)







    @classmethod
    def     lowercase_ (   cls				:						Dict		,    *__snake_case				:						Optional[Any]		,    **__snake_case				:						str			):
      requires_backends(cls		,    ['torch', 'torchsde']			)