"""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					: Dict        =logging.get_logger(__name__)

__lowerCAmelCase					: Optional[int]        ="""▁"""

__lowerCAmelCase					: List[str]        ={
    """vocab_file""": """vocab.json""",
    """spm_file""": """sentencepiece.bpe.model""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

__lowerCAmelCase					: str        ={
    """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					: Tuple        ={
    """facebook/m2m100_418M""": 1_0_2_4,
}

# fmt: off
__lowerCAmelCase					: str        ={
    """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			):
      snake_case__    :     int													=			VOCAB_FILES_NAMES
      snake_case__    :     List[str]													=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__    :     List[Any]													=			PRETRAINED_VOCAB_FILES_MAP
      snake_case__    :     Any													=			['input_ids', 'attention_mask']

      snake_case__    :     List[int]													=			[]
      snake_case__    :     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	, ):







            """simple docstring"""



            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        A__ (		self		):







            """simple docstring"""



            return len(self.encoder		) + len(self.lang_token_to_id		)

      @property
      def        A__ (		self		):







            """simple docstring"""



            return self._src_lang

      @src_lang.setter
      def        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			new_src_lang
            self.set_src_lang_special_tokens(self._src_lang		)

      def        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



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

      def        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



            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        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



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

      def        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



            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        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase = None	, __lowerCAmelCase = False		):







            """simple docstring"""



            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        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase = None		):







            """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        A__ (		self		):







            """simple docstring"""



            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		):







            """simple docstring"""



            lowercase														=			self.__dict__.copy()
            lowercase														=			None
            return state

      def __setstate__(		self	, __lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			d

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

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

      def        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase = None		):







            """simple docstring"""



            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        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase = "en"	, __lowerCAmelCase = None	, __lowerCAmelCase = "ro"	, **__lowerCAmelCase	, ):







            """simple docstring"""



            lowercase														=			src_lang
            lowercase														=			tgt_lang
            self.set_src_lang_special_tokens(self.src_lang		)
            return super().prepare_seqaseq_batch(__lowerCAmelCase	, __lowerCAmelCase	, **__lowerCAmelCase		)

      def        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase	, __lowerCAmelCase	, **__lowerCAmelCase		):







            """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"""		)
            lowercase														=			src_lang
            lowercase														=			self(__lowerCAmelCase	, add_special_tokens=__lowerCAmelCase	, **__lowerCAmelCase		)
            lowercase														=			self.get_lang_id(__lowerCAmelCase		)
            lowercase														=			tgt_lang_id
            return inputs

      def        A__ (		self		):







            """simple docstring"""



            self.set_src_lang_special_tokens(self.src_lang		)

      def        A__ (		self		):







            """simple docstring"""



            self.set_tgt_lang_special_tokens(self.tgt_lang		)

      def        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



            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        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



            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        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



            return self.lang_code_to_token[lang]







      def        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			self.get_lang_token(__lowerCAmelCase		)
            return self.lang_token_to_id[lang_token]






def     UpperCAmelCase__ (       lowerCAmelCase__  :str      ,	lowerCAmelCase__  :Dict[str, Any]	)				->					sentencepiece.SentencePieceProcessor:
      '''simple docstring'''


      lowercase														=			sentencepiece.SentencePieceProcessor(**lowerCAmelCase__	)
      spm.Load(str(lowerCAmelCase__	)	)
      return spm


def     UpperCAmelCase__ (       lowerCAmelCase__  :str	)				->					Union[Dict, List]:
      '''simple docstring'''


      with open(lowerCAmelCase__      ,	"""r"""	) as f:
            return json.load(lowerCAmelCase__	)






def     UpperCAmelCase__ (       lowerCAmelCase__  :Optional[Any]      ,	lowerCAmelCase__  :str	)				->					None:
      '''simple docstring'''


      with open(lowerCAmelCase__      ,	"""w"""	) as f:
            json.dump(lowerCAmelCase__      ,	lowerCAmelCase__      ,	indent=2	)




"""simple docstring"""






# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser


def     UpperCAmelCase__ (       )				->					Tuple:
      '''simple docstring'''


      lowercase														=			ArgumentParser("""Accelerate CLI tool"""      ,	usage="""accelerate <command> [<args>]"""      ,	allow_abbrev=lowerCAmelCase__	)
      lowercase														=			parser.add_subparsers(help="""accelerate command helpers"""	)

      # Register commands
      get_config_parser(subparsers=lowerCAmelCase__	)
      env_command_parser(subparsers=lowerCAmelCase__	)
      launch_command_parser(subparsers=lowerCAmelCase__	)
      tpu_command_parser(subparsers=lowerCAmelCase__	)
      test_command_parser(subparsers=lowerCAmelCase__	)

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

      if not hasattr(lowerCAmelCase__      ,	"""func"""	):
            parser.print_help()
            exit(1	)

      # Run
      args.func(lowerCAmelCase__	)


if __name__ == "__main__":
       main()



