


import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCamelCase		   =			logging.get_logger(__name__)


lowerCamelCase		   =			{
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

lowerCamelCase		   =			{
    'vocab_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'
        ),
    },
    'tokenizer_config_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'
        ),
    },
    'merges_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'
        ),
    },
}

lowerCamelCase		   =			'</w>'
lowerCamelCase		   =			'@@ '




def       a_ (       SCREAMING_SNAKE_CASE__   : List[Any]	):
       '''simple docstring'''





       _lowerCamelCase			:						str            =set()
       _lowerCamelCase			:						Dict            =word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)	)
              _lowerCamelCase			:						List[str]            =char
       return pairs


# Speech2Text2 has no max input length
lowerCamelCase		   =			{'facebook/s2t-wav2vec2-large-en-de': 10_24}




class A    (  UpperCamelCase_	):
      UpperCamelCase__				:    List[str] =VOCAB_FILES_NAMES
      UpperCamelCase__				:    str =PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase__				:    Any =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase__				:    str =['input_ids', 'attention_mask']






      def __init__(   self		:	Tuple     ,  lowercase_		:	int     ,  lowercase_		:	List[str]="<s>"     ,  lowercase_		:	List[Any]="<pad>"     ,  lowercase_		:	Tuple="</s>"     ,  lowercase_		:	Optional[int]="<unk>"     ,  lowercase_		:	Optional[Any]=False     ,  lowercase_		:	Optional[int]=None     ,  **lowercase_		:	List[str]     ,  )   ->		List[Any]:
             """simple docstring"""




             super().__init__(
                 unk_token=lowercase_     ,  bos_token=lowercase_     ,  eos_token=lowercase_     ,  pad_token=lowercase_     ,  do_lower_case=lowercase_     ,  **lowercase_     ,  )

             _lowerCamelCase			:						List[str]            =do_lower_case

             with open(lowercase_     ,  encoding='utf-8'					) as vocab_handle:
                    _lowerCamelCase			:						Dict            =json.load(lowercase_					)
             _lowerCamelCase			:						str            ={v: k for k, v in self.encoder.items()}

             if merges_file is None:
                    logger.info(F'''No merges files provided. {self.__class__.__name__} can only be used for decoding.'''					)

                    _lowerCamelCase			:						int            =None
                    _lowerCamelCase			:						Optional[Any]            =None
             else:
                    with open(lowercase_     ,  encoding='utf-8'					) as merges_handle:
                           _lowerCamelCase			:						Any            =merges_handle.read().split('\n'					)[:-1]

                    _lowerCamelCase			:						Dict            =[tuple(merge.split()[:2]					) for merge in merges]
                    _lowerCamelCase			:						Dict            =dict(zip(lowercase_     ,  range(len(lowercase_					)					)					)					)
                    _lowerCamelCase			:						Optional[Any]            ={}






      @property
      def 			lowerCamelCase			(   self		:	Union[str, Any]					)   ->		int:
             """simple docstring"""




             return len(self.decoder					)






      def 			lowerCamelCase			(   self		:	Union[str, Any]					)   ->		Dict:
             """simple docstring"""




             return dict(self.encoder     ,  **self.added_tokens_encoder					)






      def 			lowerCamelCase			(   self		:	str     ,  lowercase_		:	List[Any]					)   ->		Optional[int]:
             """simple docstring"""




             _lowerCamelCase			:						List[str]            =tuple(token[:-1]					) + (token[-1] + BPE_TOKEN_MERGES,)
             if token in self.cache:
                    return self.cache[token]
             _lowerCamelCase			:						Optional[int]            =get_pairs(lowercase_					)

             if not pairs:
                    return token

             while True:
                    _lowerCamelCase			:						Union[str, Any]            =min(lowercase_     ,  key=lambda lowercase_					: self.bpe_ranks.get(lowercase_     ,  float('inf'					)					)					)
                    if bigram not in self.bpe_ranks:
                           break
                    _lowerCamelCase      ,	_lowerCamelCase			:						Optional[int]            =bigram
                    _lowerCamelCase			:						Optional[int]            =[]
                    _lowerCamelCase			:						List[str]            =0
                    while i < len(lowercase_					):
                           try:
                                  _lowerCamelCase			:						List[Any]            =word.index(lowercase_     ,  lowercase_					)
                           except ValueError:
                                  new_word.extend(word[i:]					)
                                  break
                           else:
                                  new_word.extend(word[i:j]					)
                                  _lowerCamelCase			:						Optional[int]            =j

                           if word[i] == first and i < len(lowercase_					) - 1 and word[i + 1] == second:
                                  new_word.append(first + second					)
                                  i += 2
                           else:
                                  new_word.append(word[i]					)
                                  i += 1
                    _lowerCamelCase			:						str            =tuple(lowercase_					)
                    _lowerCamelCase			:						Optional[int]            =new_word
                    if len(lowercase_					) == 1:
                           break
                    else:
                           _lowerCamelCase			:						Any            =get_pairs(lowercase_					)
             _lowerCamelCase			:						Dict            =' '.join(lowercase_					)
             if word == "\n  " + BPE_TOKEN_MERGES:
                    _lowerCamelCase			:						List[str]            ='\n' + BPE_TOKEN_MERGES

             if word.endswith(lowercase_					):
                    _lowerCamelCase			:						List[Any]            =word.replace(lowercase_     ,  ''					)

             _lowerCamelCase			:						Optional[Any]            =word.replace(' '     ,  lowercase_					)
             _lowerCamelCase			:						Union[str, Any]            =word
             return word






      def 			lowerCamelCase			(   self		:	Any     ,  lowercase_		:	List[Any]					)   ->		List[str]:
             """simple docstring"""




             if self.bpe_ranks is None:
                    raise ValueError(
                        'This tokenizer was instantiated without a `merges.txt` file, so'
                        ' that it can only be used for decoding, not for encoding.'
                        'Make sure to provide `merges.txt` file at instantiation to enable '
                        'encoding.'					)

             if self.do_lower_case:
                    _lowerCamelCase			:						Union[str, Any]            =text.lower()

             _lowerCamelCase			:						Optional[Any]            =text.split()

             _lowerCamelCase			:						Any            =[]
             for token in text:
                    if token:
                           split_tokens.extend(list(self.bpe(lowercase_					).split(' '					)					)					)

             return split_tokens






      def 			lowerCamelCase			(   self		:	Union[str, Any]     ,  lowercase_		:	str					)   ->		int:
             """simple docstring"""




             return self.encoder.get(lowercase_     ,  self.encoder.get(self.unk_token					)					)






      def 			lowerCamelCase			(   self		:	Tuple     ,  lowercase_		:	int					)   ->		str:
             """simple docstring"""




             _lowerCamelCase			:						Tuple            =self.decoder.get(lowercase_     ,  self.unk_token					)
             return result






      def 			lowerCamelCase			(   self		:	str     ,  lowercase_		:	List[str]					)   ->		str:
             """simple docstring"""




             _lowerCamelCase			:						int            =' '.join(lowercase_					)

             # make sure @@ tokens are concatenated
             _lowerCamelCase			:						Optional[int]            =''.join(string.split(lowercase_					)					)

             return string






      def 			lowerCamelCase			(   self		:	List[str]     ,  lowercase_		:	str     ,  lowercase_		:	Optional[str] = None					)   ->		Tuple[str]:
             """simple docstring"""




             if not os.path.isdir(lowercase_					):
                    logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''					)
                    return
             _lowerCamelCase			:						List[Any]            =os.path.join(
                 lowercase_     ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)
             _lowerCamelCase			:						Tuple            =os.path.join(
                 lowercase_     ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']					)

             with open(lowercase_     ,  'w'     ,  encoding='utf-8'					) as f:
                    f.write(json.dumps(self.encoder     ,  indent=2     ,  sort_keys=lowercase_     ,  ensure_ascii=lowercase_					) + '\n'					)

             _lowerCamelCase			:						int            =0
             if self.bpe_ranks is None:
                    return (vocab_file,)

             with open(lowercase_     ,  'w'     ,  encoding='utf-8'					) as writer:
                    for bpe_tokens, token_index in sorted(self.bpe_ranks.items()     ,  key=lambda lowercase_					: kv[1]					):
                           if index != token_index:
                                  logger.warning(
                                      F'''Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'''
                                      ' Please check that the tokenizer is not corrupted!'					)
                                  _lowerCamelCase			:						int            =token_index
                           writer.write(' '.join(lowercase_					) + '\n'					)
                           index += 1

             return (vocab_file, merges_file)






# Copyright 2022 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.

import argparse
import os
import platform

import numpy as np
import psutil
import torch

from accelerate import __version__ as version
from accelerate.commands.config import default_config_file, load_config_from_file

from ..utils import is_npu_available, is_xpu_available




def       a_ (       SCREAMING_SNAKE_CASE__   : str=None	):
       '''simple docstring'''





       if subparsers is not None:
              _lowerCamelCase			:						str            =subparsers.add_parser('env'	)
       else:
              _lowerCamelCase			:						List[Any]            =argparse.ArgumentParser('Accelerate env command'	)

       parser.add_argument(
           '--config_file'						,     default=SCREAMING_SNAKE_CASE__						,     help='The config file to use for the default values in the launching script.'	)

       if subparsers is not None:
              parser.set_defaults(func=SCREAMING_SNAKE_CASE__	)
       return parser




def       a_ (       SCREAMING_SNAKE_CASE__   : int	):
       '''simple docstring'''





       _lowerCamelCase			:						int            =torch.__version__
       _lowerCamelCase			:						Optional[Any]            =torch.cuda.is_available()
       _lowerCamelCase			:						int            =is_xpu_available()
       _lowerCamelCase			:						Union[str, Any]            =is_npu_available()

       _lowerCamelCase			:						Optional[int]            ='Not found'
       # Get the default from the config file.
       if args.config_file is not None or os.path.isfile(SCREAMING_SNAKE_CASE__	):
              _lowerCamelCase			:						Any            =load_config_from_file(args.config_file	).to_dict()

       _lowerCamelCase			:						List[str]            ={
           '`Accelerate` version': version,
           'Platform': platform.platform(),
           'Python version': platform.python_version(),
           'Numpy version': np.__version__,
           'PyTorch version (GPU?)': F'''{pt_version} ({pt_cuda_available})''',
           'PyTorch XPU available': str(SCREAMING_SNAKE_CASE__	),
           'PyTorch NPU available': str(SCREAMING_SNAKE_CASE__	),
           'System RAM': F'''{psutil.virtual_memory().total / 1_024 ** 3:.2f} GB''',
       }
       if pt_cuda_available:
              _lowerCamelCase			:						List[Any]            =torch.cuda.get_device_name()

       print('\nCopy-and-paste the text below in your GitHub issue\n'	)
       print('\n'.join([F'''- {prop}: {val}''' for prop, val in info.items()]	)	)

       print('- `Accelerate` default config:' if args.config_file is None else '- `Accelerate` config passed:'	)
       _lowerCamelCase			:						Dict            =(
           '\n'.join([F'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]	)
           if isinstance(SCREAMING_SNAKE_CASE__						,     SCREAMING_SNAKE_CASE__	)
           else F'''\t{accelerate_config}'''
       )
       print(SCREAMING_SNAKE_CASE__	)

       _lowerCamelCase			:						str            =accelerate_config

       return info




def       a_ (       ):
       '''simple docstring'''





       _lowerCamelCase			:						Optional[int]            =env_command_parser()
       _lowerCamelCase			:						Any            =parser.parse_args()
       env_command(SCREAMING_SNAKE_CASE__	)
       return 0


if __name__ == "__main__":
 raise SystemExit(main())


