"""simple docstring"""






import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

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


lowerCAmelCase__						:						Tuple		  =			logging.get_logger(__name__)

lowerCAmelCase__						:						Tuple		  =			{
    'vocab_file': 'vocab.txt',
    'merges_file': 'bpe.codes',
}

lowerCAmelCase__						:						str		  =			{
    'vocab_file': {
        'vinai/phobert-base': 'https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt',
        'vinai/phobert-large': 'https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt',
    },
    'merges_file': {
        'vinai/phobert-base': 'https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes',
        'vinai/phobert-large': 'https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes',
    },
}

lowerCAmelCase__						:						Dict		  =			{
    'vinai/phobert-base': 256,
    'vinai/phobert-large': 256,
}



def 						a_		(      lowerCamelCase ):
				UpperCAmelCase__    =							set()
				UpperCAmelCase__    =							word[0]
				for char in word[1:]:
								pairs.add((prev_char, char) )
								UpperCAmelCase__    =							char

				UpperCAmelCase__    =							set(lowerCamelCase )
				return pairs







class        snake_case (				__UpperCAmelCase       ):




					"""simple docstring"""

					snake_case__       					=				VOCAB_FILES_NAMES
					snake_case__       					=				PRETRAINED_VOCAB_FILES_MAP
					snake_case__       					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







					def __init__(       self     :			str					,lowerCamelCase__     :			Any					,lowerCamelCase__     :			Any					,lowerCamelCase__     :			List[str]="<s>"					,lowerCamelCase__     :			Optional[int]="</s>"					,lowerCamelCase__     :			Any="</s>"					,lowerCamelCase__     :			str="<s>"					,lowerCamelCase__     :			List[str]="<unk>"					,lowerCamelCase__     :			Union[str, Any]="<pad>"					,lowerCamelCase__     :			Optional[Any]="<mask>"					,**lowerCamelCase__     :			List[Any]					,):
									super().__init__(
									    bos_token=lowerCamelCase__					,eos_token=lowerCamelCase__					,unk_token=lowerCamelCase__					,sep_token=lowerCamelCase__					,cls_token=lowerCamelCase__					,pad_token=lowerCamelCase__					,mask_token=lowerCamelCase__					,**lowerCamelCase__					,)

									UpperCAmelCase__    =							vocab_file
									UpperCAmelCase__    =							merges_file

									UpperCAmelCase__    =							{}
									UpperCAmelCase__    =							0
									UpperCAmelCase__    =							1
									UpperCAmelCase__    =							2
									UpperCAmelCase__    =							3

									self.add_from_file(lowerCamelCase__    )

									UpperCAmelCase__    =							{v: k for k, v in self.encoder.items()}

									with open(lowerCamelCase__					,encoding='utf-8'    ) as merges_handle:
													UpperCAmelCase__    =							merges_handle.read().split('\n'    )[:-1]
									UpperCAmelCase__    =							[tuple(merge.split()[:-1]    ) for merge in merges]
									UpperCAmelCase__    =							dict(zip(lowerCamelCase__					,range(len(lowerCamelCase__    )    )    )    )
									UpperCAmelCase__    =							{}







					def 	__lowerCAmelCase		(       self     :			Dict					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = None    ):

									if token_ids_a is None:
													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									UpperCAmelCase__    =							[self.cls_token_id]
									UpperCAmelCase__    =							[self.sep_token_id]
									return cls + token_ids_a + sep + sep + token_ids_a + sep







					def 	__lowerCAmelCase		(       self     :			Optional[Any]					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = None					,lowerCamelCase__     :			bool = 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__    )

									if token_ids_a is None:
													return [1] + ([0] * len(lowerCamelCase__    )) + [1]
									return [1] + ([0] * len(lowerCamelCase__    )) + [1, 1] + ([0] * len(lowerCamelCase__    )) + [1]







					def 	__lowerCAmelCase		(       self     :			Any					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = None    ):
									UpperCAmelCase__    =							[self.sep_token_id]
									UpperCAmelCase__    =							[self.cls_token_id]

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







					@property
					def 	__lowerCAmelCase		(       self     :			List[str]    ):
									return len(self.encoder    )







					def 	__lowerCAmelCase		(       self     :			Any    ):
									return dict(self.encoder					,**self.added_tokens_encoder    )







					def 	__lowerCAmelCase		(       self     :			List[str]					,lowerCamelCase__     :			Any    ):
									if token in self.cache:
													return self.cache[token]
									UpperCAmelCase__    =							tuple(lowerCamelCase__    )
									UpperCAmelCase__    =							tuple(list(word[:-1]    ) + [word[-1] + '</w>']    )
									UpperCAmelCase__    =							get_pairs(lowerCamelCase__    )

									if not pairs:
													return token

									while True:
													UpperCAmelCase__    =							min(lowerCamelCase__					,key=lambda lowerCamelCase__    : self.bpe_ranks.get(lowerCamelCase__					,float('inf'    )    )    )
													if bigram not in self.bpe_ranks:
																	break
													UpperCAmelCase__   ,			UpperCAmelCase__    =							bigram
													UpperCAmelCase__    =							[]
													UpperCAmelCase__    =							0
													while i < len(lowerCamelCase__    ):
																	try:
																					UpperCAmelCase__    =							word.index(lowerCamelCase__					,lowerCamelCase__    )
																	except ValueError:
																					new_word.extend(word[i:]    )
																					break
																	else:
																					new_word.extend(word[i:j]    )
																					UpperCAmelCase__    =							j

																	if word[i] == first and i < len(lowerCamelCase__    ) - 1 and word[i + 1] == second:
																					new_word.append(first + second    )
																					i += 2
																	else:
																					new_word.append(word[i]    )
																					i += 1
													UpperCAmelCase__    =							tuple(lowerCamelCase__    )
													UpperCAmelCase__    =							new_word
													if len(lowerCamelCase__    ) == 1:
																	break
													else:
																	UpperCAmelCase__    =							get_pairs(lowerCamelCase__    )
									UpperCAmelCase__    =							'@@ '.join(lowerCamelCase__    )
									UpperCAmelCase__    =							word[:-4]
									UpperCAmelCase__    =							word
									return word







					def 	__lowerCAmelCase		(       self     :			List[Any]					,lowerCamelCase__     :			List[str]    ):
									UpperCAmelCase__    =							[]

									UpperCAmelCase__    =							re.findall(R'\S+\n?'					,lowerCamelCase__    )

									for token in words:
													split_tokens.extend(list(self.bpe(lowerCamelCase__    ).split(' '    )    )    )
									return split_tokens







					def 	__lowerCAmelCase		(       self     :			Union[str, Any]					,lowerCamelCase__     :			List[str]    ):
									return self.encoder.get(lowerCamelCase__					,self.encoder.get(self.unk_token    )    )







					def 	__lowerCAmelCase		(       self     :			Tuple					,lowerCamelCase__     :			List[Any]    ):
									return self.decoder.get(lowerCamelCase__					,self.unk_token    )







					def 	__lowerCAmelCase		(       self     :			Tuple					,lowerCamelCase__     :			Tuple    ):
									UpperCAmelCase__    =							' '.join(lowerCamelCase__    ).replace('@@ '					,''    ).strip()
									return out_string







					def 	__lowerCAmelCase		(       self     :			Optional[int]					,lowerCamelCase__     :			str					,lowerCamelCase__     :			Optional[str] = None    ):
									if not os.path.isdir(lowerCamelCase__    ):
													logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''    )
													return
									UpperCAmelCase__    =							os.path.join(
									    lowerCamelCase__					,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']    )
									UpperCAmelCase__    =							os.path.join(
									    lowerCamelCase__					,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']    )

									if os.path.abspath(self.vocab_file    ) != os.path.abspath(lowerCamelCase__    ):
													copyfile(self.vocab_file					,lowerCamelCase__    )

									if os.path.abspath(self.merges_file    ) != os.path.abspath(lowerCamelCase__    ):
													copyfile(self.merges_file					,lowerCamelCase__    )

									return out_vocab_file, out_merge_file







					def 	__lowerCAmelCase		(       self     :			Any					,lowerCamelCase__     :			Dict    ):
									if isinstance(lowerCamelCase__					,lowerCamelCase__    ):
													try:
																	with open(lowerCamelCase__					,'r'					,encoding='utf-8'    ) as fd:
																					self.add_from_file(lowerCamelCase__    )
													except FileNotFoundError as fnfe:
																	raise fnfe
													except UnicodeError:
																	raise Exception(f'''Incorrect encoding detected in {f}, please rebuild the dataset'''    )
													return

									UpperCAmelCase__    =							f.readlines()
									for lineTmp in lines:
													UpperCAmelCase__    =							lineTmp.strip()
													UpperCAmelCase__    =							line.rfind(' '    )
													if idx == -1:
																	raise ValueError('Incorrect dictionary format, expected \'<token> <cnt>\''    )
													UpperCAmelCase__    =							line[:idx]
													UpperCAmelCase__    =							len(self.encoder    )




"""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.

import argparse
import os

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


lowerCAmelCase__						:						Dict		  =			'Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine'



def 						a_		(      ):
				UpperCAmelCase__    =							_ask_options(
				    'In which compute environment are you running?'      ,    ['This machine', 'AWS (Amazon SageMaker)']      ,    _convert_compute_environment      ,    )
				if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
								UpperCAmelCase__    =							get_sagemaker_input()
				else:
								UpperCAmelCase__    =							get_cluster_input()
				return config



def 						a_		(      lowerCamelCase=None ):
				if subparsers is not None:
								UpperCAmelCase__    =							subparsers.add_parser('config'      ,    description=lowerCamelCase )
				else:
								UpperCAmelCase__    =							argparse.ArgumentParser('Accelerate config command'      ,    description=lowerCamelCase )

				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 ):
				UpperCAmelCase__    =							get_user_input()
				if args.config_file is not None:
								UpperCAmelCase__    =							args.config_file
				else:
								if not os.path.isdir(lowerCamelCase ):
												os.makedirs(lowerCamelCase )
								UpperCAmelCase__    =							default_yaml_config_file

				if config_file.endswith('.json' ):
								config.to_json_file(lowerCamelCase )
				else:
								config.to_yaml_file(lowerCamelCase )
				print(f'''accelerate configuration saved at {config_file}''' )



def 						a_		(      ):
				UpperCAmelCase__    =							config_command_parser()
				UpperCAmelCase__    =							parser.parse_args()
				config_command(lowerCamelCase )


if __name__ == "__main__":
						main()



