




"""simple docstring"""

import warnings
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


a							      =     logging.get_logger(__name__)





class 							lowercase_			(	__lowerCAmelCase				):



 '''simple docstring'''
 UpperCAmelCase       :	Dict     =      ['''input_ids''', '''attention_mask''']

 def __init__(					self			:			List[Any]       ,				_UpperCAmelCase			:			Optional[int]="</s>"       ,				_UpperCAmelCase			:			Union[str, Any]="<unk>"       ,				_UpperCAmelCase			:			Optional[Any]="<pad>"       ,				_UpperCAmelCase			:			Any=125       ,				_UpperCAmelCase			:			Union[str, Any]=None       ,				**_UpperCAmelCase			:			Union[str, Any]       ,				):
       # Add extra_ids to the special token list
       if extra_ids > 0 and additional_special_tokens is None:
             _A     =  [F'''<extra_id_{i}>''' for i in range(_UpperCAmelCase						)]
       elif extra_ids > 0 and additional_special_tokens is not None:
             # Check that we have the right number of extra_id special tokens
             _A     =  len(set(filter(lambda _UpperCAmelCase						: bool('extra_id' in str(_UpperCAmelCase						)						)       ,				_UpperCAmelCase						)						)						)
             if extra_tokens != extra_ids:
                   raise ValueError(
                       F'''Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'''
                       ' provided to ByT5Tokenizer. In this case the additional_special_tokens must include the'
                       ' extra_ids tokens'						)

       _A     =  AddedToken(_UpperCAmelCase       ,				lstrip=_UpperCAmelCase       ,				rstrip=_UpperCAmelCase						) if isinstance(_UpperCAmelCase       ,				_UpperCAmelCase						) else pad_token
       _A     =  AddedToken(_UpperCAmelCase       ,				lstrip=_UpperCAmelCase       ,				rstrip=_UpperCAmelCase						) if isinstance(_UpperCAmelCase       ,				_UpperCAmelCase						) else eos_token
       _A     =  AddedToken(_UpperCAmelCase       ,				lstrip=_UpperCAmelCase       ,				rstrip=_UpperCAmelCase						) if isinstance(_UpperCAmelCase       ,				_UpperCAmelCase						) else unk_token

       super().__init__(
           eos_token=_UpperCAmelCase       ,				unk_token=_UpperCAmelCase       ,				pad_token=_UpperCAmelCase       ,				extra_ids=_UpperCAmelCase       ,				additional_special_tokens=_UpperCAmelCase       ,				**_UpperCAmelCase       ,				)

       _A     =  extra_ids

       _A     =  2**8  # utf is 8 bits

       # define special tokens dict
       _A     =  {
           self.pad_token: 0,
           self.eos_token: 1,
           self.unk_token: 2,
       }
       _A     =  len(self.special_tokens_encoder						)
       _A     =  len(_UpperCAmelCase						)
       for i, token in enumerate(_UpperCAmelCase						):
             _A     =  self.vocab_size + i - n
       _A     =  {v: k for k, v in self.special_tokens_encoder.items()}

 @property
 def      lowerCAmelCase_				(					self			:			int						):
       return self._utf_vocab_size + self._num_special_tokens + self._extra_ids

 def      lowerCAmelCase_				(					self			:			Any       ,				_UpperCAmelCase			:			List[int]       ,				_UpperCAmelCase			:			Optional[List[int]] = None       ,				_UpperCAmelCase			:			bool = False						):
       if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=_UpperCAmelCase       ,				token_ids_a=_UpperCAmelCase       ,				already_has_special_tokens=_UpperCAmelCase						)

       # normal case: some special tokens
       if token_ids_a is None:
             return ([0] * len(_UpperCAmelCase						)) + [1]
       return ([0] * len(_UpperCAmelCase						)) + [1] + ([0] * len(_UpperCAmelCase						)) + [1]

 def      lowerCAmelCase_				(					self			:			Any       ,				_UpperCAmelCase			:			List[int]						):
       if len(_UpperCAmelCase						) > 0 and token_ids[-1] == self.eos_token_id:
             warnings.warn(
                 F'''This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated'''
                 ' eos tokens being added.'						)
             return token_ids
       else:
             return token_ids + [self.eos_token_id]

 def      lowerCAmelCase_				(					self			:			str       ,				_UpperCAmelCase			:			List[int]       ,				_UpperCAmelCase			:			Optional[List[int]] = None						):
       _A     =  [self.eos_token_id]

       if token_ids_a is None:
             return len(token_ids_a + eos						) * [0]
       return len(token_ids_a + eos + token_ids_a + eos						) * [0]

 def      lowerCAmelCase_				(					self			:			Optional[Any]       ,				_UpperCAmelCase			:			List[int]       ,				_UpperCAmelCase			:			Optional[List[int]] = None						):
       _A     =  self._add_eos_if_not_present(_UpperCAmelCase						)
       if token_ids_a is None:
             return token_ids_a
       else:
             _A     =  self._add_eos_if_not_present(_UpperCAmelCase						)
             return token_ids_a + token_ids_a

 def      lowerCAmelCase_				(					self			:			Union[str, Any]       ,				_UpperCAmelCase			:			str						):
       _A     =  [chr(_UpperCAmelCase						) for i in text.encode('utf-8'						)]
       return tokens

 def      lowerCAmelCase_				(					self			:			Optional[Any]       ,				_UpperCAmelCase			:			List[Any]						):
       if token in self.special_tokens_encoder:
             _A     =  self.special_tokens_encoder[token]
       elif token in self.added_tokens_encoder:
             _A     =  self.added_tokens_encoder[token]
       elif len(_UpperCAmelCase						) != 1:
             _A     =  self.unk_token_id
       else:
             _A     =  ord(_UpperCAmelCase						) + self._num_special_tokens
       return token_id

 def      lowerCAmelCase_				(					self			:			str       ,				_UpperCAmelCase			:			Optional[Any]						):
       if index in self.special_tokens_decoder:
             _A     =  self.special_tokens_decoder[index]
       else:
             _A     =  chr(index - self._num_special_tokens						)
       return token

 def      lowerCAmelCase_				(					self			:			Optional[Any]       ,				_UpperCAmelCase			:			List[Any]						):
       _A     =  b''
       for token in tokens:
             if token in self.special_tokens_decoder:
                   _A     =  self.special_tokens_decoder[token].encode('utf-8'						)
             elif token in self.added_tokens_decoder:
                   _A     =  self.special_tokens_decoder[token].encode('utf-8'						)
             elif token in self.special_tokens_encoder:
                   _A     =  token.encode('utf-8'						)
             elif token in self.added_tokens_encoder:
                   _A     =  token.encode('utf-8'						)
             else:
                   _A     =  bytes([ord(_UpperCAmelCase						)]						)
             bstring += tok_string
       _A     =  bstring.decode('utf-8'       ,				errors='ignore'						)
       return string



 def      lowerCAmelCase_				(					self			:			Union[str, Any]       ,				_UpperCAmelCase			:			str       ,				_UpperCAmelCase			:			Optional[str] = None						):
       return ()









# 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.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async






def     a     (		lowerCamelCase_=None							):






				'''simple docstring'''
				if subparsers is not None:
								lowercase__  					=     subparsers.add_parser('''test'''							)
				else:
								lowercase__  					=     argparse.ArgumentParser('''Accelerate test command'''							)

				parser.add_argument(
				    '''--config_file'''						,  default=lowerCamelCase_						,  help=(
				        '''The path to use to store the config file. Will default to a file named default_config.yaml in the cache '''
				        '''location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have '''
				        '''such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed '''
				        '''with \'huggingface\'.'''
				    )						,  )

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






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     os.path.sep.join(__file__.split(os.path.sep							)[:-2] + ['''test_utils''', '''scripts''', '''test_script.py''']							)

				if args.config_file is None:
								lowercase__  					=     script_name
				else:
								lowercase__  					=     F"""--config_file={args.config_file} {script_name}"""

				lowercase__  					=     ['''accelerate-launch'''] + test_args.split()
				lowercase__  					=     execute_subprocess_async(lowerCamelCase_						,  env=os.environ.copy()							)
				if result.returncode == 0:
								print('''Test is a success! You are ready for your distributed training!'''							)






def     a     (		):






				'''simple docstring'''
				lowercase__  					=     test_command_parser()
				lowercase__  					=     parser.parse_args()
				test_command(lowerCamelCase_							)


if __name__ == "__main__":
							main()




