






"""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


_UpperCamelCase		:  str						=		logging.get_logger(__name__)

_UpperCamelCase		:  str						=		'▁'

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

_UpperCamelCase		:  Union[str, Any]						=		{
    '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',
    },
}

_UpperCamelCase		:  Optional[Any]						=		{
    'facebook/m2m100_418M': 1_0_2_4,
}

# fmt: off
_UpperCamelCase		:  Tuple						=		{
    '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     (   a_	):
    UpperCAmelCase_ :     str	     =VOCAB_FILES_NAMES
    UpperCAmelCase_ :     str	     =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase_ :     Optional[int]	     =PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase_ :     Optional[int]	     =["input_ids", "attention_mask"]

    UpperCAmelCase_ :     List[int]	     =[]
    UpperCAmelCase_ :     List[int]	     =[]







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

      lowercase							    =       language_codes
      lowercase							    =       FAIRSEQ_LANGUAGE_CODES[language_codes]
      lowercase							    =       {lang_code: F'__{lang_code}__' for lang_code in fairseq_language_code}

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

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

      lowercase							    =       vocab_file
      lowercase							    =       load_json(_lowerCamelCase       )
      lowercase							    =       {v: k for k, v in self.encoder.items()}
      lowercase							    =       spm_file
      lowercase							    =       load_spm(_lowerCamelCase							,		self.sp_model_kwargs       )

      lowercase							    =       len(self.encoder       )

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

      lowercase							    =       src_lang if src_lang is not None else 'en'
      lowercase							    =       tgt_lang
      lowercase							    =       self.get_lang_id(self._src_lang       )
      self.set_src_lang_special_tokens(self._src_lang       )

      lowercase							    =       num_madeup_words







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







    @property
    def 			UpperCamelCase_      (			self       ):
      return self._src_lang







    @src_lang.setter
    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      lowercase							    =       new_src_lang
      self.set_src_lang_special_tokens(self._src_lang       )







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      return self.sp_model.encode(_lowerCamelCase							,		out_type=_lowerCamelCase       )







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      if token in self.lang_token_to_id:
        return self.lang_token_to_id[token]
      return self.encoder.get(_lowerCamelCase							,		self.encoder[self.unk_token]       )







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      if index in self.id_to_lang_token:
        return self.id_to_lang_token[index]
      return self.decoder.get(_lowerCamelCase							,		self.unk_token       )







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      lowercase							    =       []
      lowercase							    =       ''
      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(_lowerCamelCase       ) + token
          lowercase							    =       []
        else:
          current_sub_tokens.append(_lowerCamelCase       )
      out_string += self.sp_model.decode(_lowerCamelCase       )
      return out_string.strip()







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase = None							,		_lowerCamelCase = False       ):

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

      lowercase							    =       [1] * len(self.prefix_tokens       )
      lowercase							    =       [1] * len(self.suffix_tokens       )
      if token_ids_a is None:
        return prefix_ones + ([0] * len(_lowerCamelCase       )) + suffix_ones
      return prefix_ones + ([0] * len(_lowerCamelCase       )) + ([0] * len(_lowerCamelCase       )) + suffix_ones







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase = 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 			UpperCamelCase_      (			self       ):
      lowercase							    =       {self.convert_ids_to_tokens(_lowerCamelCase       ): i for i in range(self.vocab_size       )}
      vocab.update(self.added_tokens_encoder       )
      return vocab







    def __getstate__(			self       ):
      lowercase							    =       self.__dict__.copy()
      lowercase							    =       None
      return state







    def __setstate__(			self							,		_lowerCamelCase       ):
      lowercase							    =       d

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

      lowercase							    =       load_spm(self.spm_file							,		self.sp_model_kwargs       )







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

      save_json(self.encoder							,		_lowerCamelCase       )

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

      return (str(_lowerCamelCase       ), str(_lowerCamelCase       ))







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase = "en"							,		_lowerCamelCase = None							,		_lowerCamelCase = "ro"							,		**_lowerCamelCase							,		):
      lowercase							    =       src_lang
      lowercase							    =       tgt_lang
      self.set_src_lang_special_tokens(self.src_lang       )
      return super().prepare_seqaseq_batch(_lowerCamelCase							,		_lowerCamelCase							,		**_lowerCamelCase       )







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase							,		_lowerCamelCase							,		**_lowerCamelCase       ):
      if src_lang is None or tgt_lang is None:
        raise ValueError('Translation requires a `src_lang` and a `tgt_lang` for this model'       )
      lowercase							    =       src_lang
      lowercase							    =       self(_lowerCamelCase							,		add_special_tokens=_lowerCamelCase							,		**_lowerCamelCase       )
      lowercase							    =       self.get_lang_id(_lowerCamelCase       )
      lowercase							    =       tgt_lang_id
      return inputs







    def 			UpperCamelCase_      (			self       ):
      self.set_src_lang_special_tokens(self.src_lang       )







    def 			UpperCamelCase_      (			self       ):
      self.set_tgt_lang_special_tokens(self.tgt_lang       )







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      lowercase							    =       self.get_lang_token(_lowerCamelCase       )
      lowercase							    =       self.lang_token_to_id[lang_token]
      lowercase							    =       [self.cur_lang_id]
      lowercase							    =       [self.eos_token_id]







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      lowercase							    =       self.get_lang_token(_lowerCamelCase       )
      lowercase							    =       self.lang_token_to_id[lang_token]
      lowercase							    =       [self.cur_lang_id]
      lowercase							    =       [self.eos_token_id]







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      return self.lang_code_to_token[lang]







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


def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  str		,					__snake_case			:  Dict[str, Any]    ):





  '''simple docstring'''





  lowercase							    =       sentencepiece.SentencePieceProcessor(**__snake_case    )
  spm.Load(str(__snake_case    )    )
  return spm
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  str    ):





  '''simple docstring'''





  with open(__snake_case		,					'r'    ) as f:
    return json.load(__snake_case    )



def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  Optional[int]		,					__snake_case			:  str    ):





  '''simple docstring'''





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










"""simple docstring"""



from argparse import ArgumentParser

from .env import EnvironmentCommand
def 						_SCREAMING_SNAKE_CASE (    ):





  '''simple docstring'''





  lowercase							    =       ArgumentParser('Diffusers CLI tool'		,					usage='diffusers-cli <command> [<args>]'    )
  lowercase							    =       parser.add_subparsers(help='diffusers-cli command helpers'    )

  # Register commands
  EnvironmentCommand.register_subcommand(__snake_case    )

  # Let's go
  lowercase							    =       parser.parse_args()

  if not hasattr(__snake_case		,					'func'    ):
    parser.print_help()
    exit(1    )

  # Run
  lowercase							    =       args.func(__snake_case    )
  service.run()


if __name__ == "__main__":
    main()


