





"""simple docstring"""




import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

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


a						: Optional[int]     	=			logging.get_logger(__name__)


a						: List[str]     	=			{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

a						: int     	=			{
    '''vocab_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
    },
}

a						: Optional[Any]     	=			{
    '''allenai/longformer-base-4096''': 4096,
    '''allenai/longformer-large-4096''': 4096,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4096,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4096,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4096,
}






@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def       _SCREAMING_SNAKE_CASE		(	) ->Dict:






	'''simple docstring'''






	a      :		List[Any]	=				(
	    list(range(ord("!"					)    ,       ord("~"					) + 1					)					) + list(range(ord("¡"					)    ,       ord("¬"					) + 1					)					) + list(range(ord("®"					)    ,       ord("ÿ"					) + 1					)					)
	)
	a      :		List[str]	=				bs[:]
	a      :		List[Any]	=				0
	for b in range(2**8					):
		if b not in bs:
			bs.append(_lowercase					)
			cs.append(2**8 + n					)
			n += 1
	a      :		Union[str, Any]	=				[chr(_lowercase					) for n in cs]
	return dict(zip(_lowercase    ,       _lowercase					)					)






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    List[Any]					) ->Union[str, Any]:






	'''simple docstring'''






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







class        __UpperCamelCase				(						a__						):
							lowerCamelCase   :					Optional[Any]      					=VOCAB_FILES_NAMES
							lowerCamelCase   :					Dict      					=PRETRAINED_VOCAB_FILES_MAP
							lowerCamelCase   :					Any      					=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCamelCase   :					Optional[Any]      					=["""input_ids""", """attention_mask"""]






							def __init__(   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__      ,					lowerCAmelCase__="replace"      ,					lowerCAmelCase__="<s>"      ,					lowerCAmelCase__="</s>"      ,					lowerCAmelCase__="</s>"      ,					lowerCAmelCase__="<s>"      ,					lowerCAmelCase__="<unk>"      ,					lowerCAmelCase__="<pad>"      ,					lowerCAmelCase__="<mask>"      ,					lowerCAmelCase__=False      ,					**lowerCAmelCase__      ,					)	-> str:
								a      :		List[Any]	=				AddedToken(lowerCAmelCase__      ,					lstrip=lowerCAmelCase__      ,					rstrip=lowerCAmelCase__      ) if isinstance(lowerCAmelCase__      ,					lowerCAmelCase__      ) else bos_token
								a      :		int	=				AddedToken(lowerCAmelCase__      ,					lstrip=lowerCAmelCase__      ,					rstrip=lowerCAmelCase__      ) if isinstance(lowerCAmelCase__      ,					lowerCAmelCase__      ) else eos_token
								a      :		List[Any]	=				AddedToken(lowerCAmelCase__      ,					lstrip=lowerCAmelCase__      ,					rstrip=lowerCAmelCase__      ) if isinstance(lowerCAmelCase__      ,					lowerCAmelCase__      ) else sep_token
								a      :		List[Any]	=				AddedToken(lowerCAmelCase__      ,					lstrip=lowerCAmelCase__      ,					rstrip=lowerCAmelCase__      ) if isinstance(lowerCAmelCase__      ,					lowerCAmelCase__      ) else cls_token
								a      :		Any	=				AddedToken(lowerCAmelCase__      ,					lstrip=lowerCAmelCase__      ,					rstrip=lowerCAmelCase__      ) if isinstance(lowerCAmelCase__      ,					lowerCAmelCase__      ) else unk_token
								a      :		str	=				AddedToken(lowerCAmelCase__      ,					lstrip=lowerCAmelCase__      ,					rstrip=lowerCAmelCase__      ) if isinstance(lowerCAmelCase__      ,					lowerCAmelCase__      ) else pad_token

								# Mask token behave like a normal word, i.e. include the space before it
								a      :		str	=				AddedToken(lowerCAmelCase__      ,					lstrip=lowerCAmelCase__      ,					rstrip=lowerCAmelCase__      ) if isinstance(lowerCAmelCase__      ,					lowerCAmelCase__      ) else mask_token

								super().__init__(
								    errors=lowerCAmelCase__      ,					bos_token=lowerCAmelCase__      ,					eos_token=lowerCAmelCase__      ,					unk_token=lowerCAmelCase__      ,					sep_token=lowerCAmelCase__      ,					cls_token=lowerCAmelCase__      ,					pad_token=lowerCAmelCase__      ,					mask_token=lowerCAmelCase__      ,					add_prefix_space=lowerCAmelCase__      ,					**lowerCAmelCase__      ,					)

								with open(lowerCAmelCase__      ,					encoding="utf-8"      ) as vocab_handle:
									a      :		Dict	=				json.load(lowerCAmelCase__      )
								a      :		Tuple	=				{v: k for k, v in self.encoder.items()}
								a      :		Union[str, Any]	=				errors  # how to handle errors in decoding
								a      :		int	=				bytes_to_unicode()
								a      :		List[Any]	=				{v: k for k, v in self.byte_encoder.items()}
								with open(lowerCAmelCase__      ,					encoding="utf-8"      ) as merges_handle:
									a      :		str	=				merges_handle.read().split("\n"      )[1:-1]
								a      :		str	=				[tuple(merge.split()      ) for merge in bpe_merges]
								a      :		Any	=				dict(zip(lowerCAmelCase__      ,					range(len(lowerCAmelCase__      )      )      )      )
								a      :		Any	=				{}
								a      :		Optional[Any]	=				add_prefix_space

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								a      :		Optional[int]	=				re.compile(R"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"      )






							@property
							def     __a   (   self      )	-> Any:
								return len(self.encoder      )






							def     __a   (   self      )	-> str:
								return dict(self.encoder      ,					**self.added_tokens_encoder      )






							def     __a   (   self      ,					lowerCAmelCase__      )	-> List[str]:
								if token in self.cache:
									return self.cache[token]
								a      :		Optional[Any]	=				tuple(lowerCAmelCase__      )
								a      :		str	=				get_pairs(lowerCAmelCase__      )

								if not pairs:
									return token

								while True:
									a      :		Union[str, Any]	=				min(lowerCAmelCase__      ,					key=lambda lowerCAmelCase__      : self.bpe_ranks.get(lowerCAmelCase__      ,					float("inf"      )      )      )
									if bigram not in self.bpe_ranks:
										break
									a,       a      :		str	=				bigram
									a      :		Optional[Any]	=				[]
									a      :		str	=				0
									while i < len(lowerCAmelCase__      ):
										try:
											a      :		Tuple	=				word.index(lowerCAmelCase__      ,					lowerCAmelCase__      )
										except ValueError:
											new_word.extend(word[i:]      )
											break
										else:
											new_word.extend(word[i:j]      )
											a      :		Tuple	=				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
									a      :		Any	=				tuple(lowerCAmelCase__      )
									a      :		List[Any]	=				new_word
									if len(lowerCAmelCase__      ) == 1:
										break
									else:
										a      :		int	=				get_pairs(lowerCAmelCase__      )
								a      :		Tuple	=				" ".join(lowerCAmelCase__      )
								a      :		Any	=				word
								return word






							def     __a   (   self      ,					lowerCAmelCase__      )	-> Tuple:
								a      :		List[str]	=				[]
								for token in re.findall(self.pat      ,					lowerCAmelCase__      ):
									a      :		Union[str, Any]	=				"".join(
									    self.byte_encoder[b] for b in token.encode("utf-8"      )      )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
									bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowerCAmelCase__      ).split(" "      )      )
								return bpe_tokens






							def     __a   (   self      ,					lowerCAmelCase__      )	-> Tuple:
								return self.encoder.get(lowerCAmelCase__      ,					self.encoder.get(self.unk_token      )      )






							def     __a   (   self      ,					lowerCAmelCase__      )	-> Dict:
								return self.decoder.get(lowerCAmelCase__      )






							def     __a   (   self      ,					lowerCAmelCase__      )	-> Union[str, Any]:
								a      :		Tuple	=				"".join(lowerCAmelCase__      )
								a      :		int	=				bytearray([self.byte_decoder[c] for c in text]      ).decode("utf-8"      ,					errors=self.errors      )
								return text






							def     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__ = None      )	-> Tuple[str]:
								if not os.path.isdir(lowerCAmelCase__      ):
									logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""      )
									return
								a      :		Tuple	=				os.path.join(
								    lowerCAmelCase__      ,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]      )
								a      :		int	=				os.path.join(
								    lowerCAmelCase__      ,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]      )

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

								a      :		Tuple	=				0
								with open(lowerCAmelCase__      ,					"w"      ,					encoding="utf-8"      ) as writer:
									writer.write("#version: 0.2\n"      )
									for bpe_tokens, token_index in sorted(self.bpe_ranks.items()      ,					key=lambda lowerCAmelCase__      : kv[1]      ):
										if index != token_index:
											logger.warning(
											    f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
											    " Please check that the tokenizer is not corrupted!"      )
											a      :		int	=				token_index
										writer.write(" ".join(lowerCAmelCase__      ) + "\n"      )
										index += 1

								return vocab_file, merge_file






							def     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__ = None      )	-> List[int]:
								if token_ids_a is None:
									return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								a      :		Optional[int]	=				[self.cls_token_id]
								a      :		int	=				[self.sep_token_id]
								return cls + token_ids_a + sep + sep + token_ids_a + sep






							def     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__ = None      ,					lowerCAmelCase__ = False      )	-> List[int]:
								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     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__ = None      )	-> List[int]:
								a      :		Union[str, Any]	=				[self.sep_token_id]
								a      :		List[Any]	=				[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]






							def     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__=False      ,					**lowerCAmelCase__      )	-> Optional[Any]:
								a      :		Optional[int]	=				kwargs.pop("add_prefix_space"      ,					self.add_prefix_space      )
								if (is_split_into_words or add_prefix_space) and (len(lowerCAmelCase__      ) > 0 and not text[0].isspace()):
									a      :		Dict	=				" " + text
								return (text, kwargs)









"""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       _SCREAMING_SNAKE_CASE		(	) ->Dict:






	'''simple docstring'''






	a      :		Any	=				ArgumentParser("Accelerate CLI tool"    ,       usage="accelerate <command> [<args>]"    ,       allow_abbrev=_lowercase					)
	a      :		List[Any]	=				parser.add_subparsers(help="accelerate command helpers"					)

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

	# Let's go
	a      :		List[Any]	=				parser.parse_args()

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

	# Run
	args.func(_lowercase					)


if __name__ == "__main__":
		main()


