

import argparse
import os





class      snake_case_      :


							"""simple docstring"""





							__UpperCAmelCase      ="""block_{0}.dat"""




							def __init__(			self       ,    _A				):
												__lowerCAmelCase       =				filename
												__lowerCAmelCase       =				[]




							def 							A__	(			self       ,    _A       ,    _A				):
												__lowerCAmelCase       =				self.BLOCK_FILENAME_FORMAT.format(_A				)
												with open(_A       ,    'w'				) as file:
																	file.write(_A				)
												self.block_filenames.append(_A				)




							def 							A__	(			self				):
												return self.block_filenames




							def 							A__	(			self       ,    _A       ,    _A=None				):
												__lowerCAmelCase       =				0
												with open(self.filename				) as file:
																	while True:
																						__lowerCAmelCase       =				file.readlines(_A				)

																						if lines == []:
																											break

																						if sort_key is None:
																											lines.sort()
																						else:
																											lines.sort(key=_A				)

																						self.write_block(''.join(_A				)       ,    _A				)
																						i += 1




							def 							A__	(			self				):
												map(os.remove       ,    self.block_filenames				)





class      snake_case_      :


							"""simple docstring"""





							def 							A__	(			self       ,    _A				):
												__lowerCAmelCase       =				-1
												__lowerCAmelCase       =				None

												for i in range(len(_A				)				):
																	if min_str is None or choices[i] < min_str:
																						__lowerCAmelCase       =				i

												return min_index





class      snake_case_      :


							"""simple docstring"""





							def __init__(			self       ,    _A				):
												__lowerCAmelCase       =				files
												__lowerCAmelCase       =				set()
												__lowerCAmelCase       =				len(_A				)
												__lowerCAmelCase       =				{i: None for i in range(self.num_buffers				)}




							def 							A__	(			self				):
												return {
												    i: self.buffers[i] for i in range(self.num_buffers				) if i not in self.empty
												}




							def 							A__	(			self				):
												for i in range(self.num_buffers				):
																	if self.buffers[i] is None and i not in self.empty:
																						__lowerCAmelCase       =				self.files[i].readline()

																						if self.buffers[i] == "":
																											self.empty.add(_A				)
																											self.files[i].close()

												if len(self.empty				) == self.num_buffers:
																	return False

												return True




							def 							A__	(			self       ,    _A				):
												__lowerCAmelCase       =				self.buffers[index]
												__lowerCAmelCase       =				None

												return value





class      snake_case_      :


							"""simple docstring"""





							def __init__(			self       ,    _A				):
												__lowerCAmelCase       =				merge_strategy




							def 							A__	(			self       ,    _A       ,    _A       ,    _A				):
												__lowerCAmelCase       =				FilesArray(self.get_file_handles(_A       ,    _A				)				)
												with open(_A       ,    'w'       ,    _A				) as outfile:
																	while buffers.refresh():
																						__lowerCAmelCase       =				self.merge_strategy.select(buffers.get_dict()				)
																						outfile.write(buffers.unshift(_A				)				)




							def 							A__	(			self       ,    _A       ,    _A				):
												__lowerCAmelCase       =				{}

												for i in range(len(_A				)				):
																	__lowerCAmelCase       =				open(filenames[i]       ,    'r'       ,    _A				)  # noqa: UP015

												return files





class      snake_case_      :


							"""simple docstring"""





							def __init__(			self       ,    _A				):
												__lowerCAmelCase       =				block_size




							def 							A__	(			self       ,    _A       ,    _A=None				):
												__lowerCAmelCase       =				self.get_number_blocks(_A       ,    self.block_size				)
												__lowerCAmelCase       =				FileSplitter(_A				)
												splitter.split(self.block_size       ,    _A				)

												__lowerCAmelCase       =				FileMerger(NWayMerge()				)
												__lowerCAmelCase       =				self.block_size / (num_blocks + 1)
												merger.merge(splitter.get_block_filenames()       ,    filename + '.out'       ,    _A				)

												splitter.cleanup()




							def 							A__	(			self       ,    _A       ,    _A				):
												return (os.stat(_A				).st_size / block_size) + 1


def 							__lowercase     (	UpperCAmelCase__   ):

					"""simple docstring"""






					if string[-1].lower() == "k":
										return int(string[:-1]   ) * 1_024
					elif string[-1].lower() == "m":
										return int(string[:-1]   ) * 1_024 * 1_024
					elif string[-1].lower() == "g":
										return int(string[:-1]   ) * 1_024 * 1_024 * 1_024
					else:
										return int(__lowerCamelCase   )


def 							__lowercase     (	):

					"""simple docstring"""






					__lowerCAmelCase       =				argparse.ArgumentParser()
					parser.add_argument(
					    '-m'		,       '--mem'		,       help='amount of memory to use for sorting'		,       default='100M'   )
					parser.add_argument(
					    'filename'		,       metavar='<filename>'		,       nargs=1		,       help='name of file to sort'   )
					__lowerCAmelCase       =				parser.parse_args()

					__lowerCAmelCase       =				ExternalSort(parse_memory(args.mem   )   )
					sorter.sort(args.filename[0]   )


if __name__ == "__main__":
		main()











"""simple docstring"""






import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_longformer import LongformerTokenizer


_lowercase					:					str 		=		logging.get_logger(__name__)

_lowercase					:					List[str] 		=		{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

_lowercase					:					Tuple 		=		{
    "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"
        ),
    },
    "tokenizer_file": {
        "allenai/longformer-base-4096": (
            "https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json"
        ),
        "allenai/longformer-large-4096": (
            "https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json"
        ),
        "allenai/longformer-large-4096-finetuned-triviaqa": (
            "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json"
        ),
        "allenai/longformer-base-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json"
        ),
        "allenai/longformer-large-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json"
        ),
    },
}

_lowercase					:					str 		=		{
    "allenai/longformer-base-4096": 4_0_9_6,
    "allenai/longformer-large-4096": 4_0_9_6,
    "allenai/longformer-large-4096-finetuned-triviaqa": 4_0_9_6,
    "allenai/longformer-base-4096-extra.pos.embd.only": 4_0_9_6,
    "allenai/longformer-large-4096-extra.pos.embd.only": 4_0_9_6,
}

class 			__SCREAMING_SNAKE_CASE      ( lowerCAmelCase_  ):


					'''simple docstring'''





					_a       =				VOCAB_FILES_NAMES
					_a       =				PRETRAINED_VOCAB_FILES_MAP
					_a       =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_a       =				['input_ids', 'attention_mask']
					_a       =				LongformerTokenizer



					def __init__(			self				:    Dict,    lowerCamelCase				:    Any=None,    lowerCamelCase				:    List[Any]=None,    lowerCamelCase				:    List[Any]=None,    lowerCamelCase				:    Optional[Any]="replace",    lowerCamelCase				:    List[str]="<s>",    lowerCamelCase				:    Tuple="</s>",    lowerCamelCase				:    Union[str, Any]="</s>",    lowerCamelCase				:    str="<s>",    lowerCamelCase				:    Union[str, Any]="<unk>",    lowerCamelCase				:    Optional[Any]="<pad>",    lowerCamelCase				:    Optional[Any]="<mask>",    lowerCamelCase				:    int=False,    lowerCamelCase				:    Optional[Any]=True,    **lowerCamelCase				:    Union[str, Any],    )->   List[str]:
								super().__init__(
								    lowerCamelCase,    lowerCamelCase,    tokenizer_file=lowerCamelCase,    errors=lowerCamelCase,    bos_token=lowerCamelCase,    eos_token=lowerCamelCase,    sep_token=lowerCamelCase,    cls_token=lowerCamelCase,    unk_token=lowerCamelCase,    pad_token=lowerCamelCase,    mask_token=lowerCamelCase,    add_prefix_space=lowerCamelCase,    trim_offsets=lowerCamelCase,    **lowerCamelCase,    )

								lowerCamelCase__						:						List[str]						      =json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()	)
								if pre_tok_state.get('''add_prefix_space''',    lowerCamelCase	) != add_prefix_space:
											lowerCamelCase__						:						Dict						      =getattr(lowerCamelCase,    pre_tok_state.pop('''type'''	)	)
											lowerCamelCase__						:						int						      =add_prefix_space
											lowerCamelCase__						:						int						      =pre_tok_class(**lowerCamelCase	)

								lowerCamelCase__						:						Optional[int]						      =add_prefix_space

								lowerCamelCase__						:						str						      ='''post_processor'''
								lowerCamelCase__						:						int						      =getattr(self.backend_tokenizer,    lowerCamelCase,    lowerCamelCase	)
								if tokenizer_component_instance:
											lowerCamelCase__						:						Union[str, Any]						      =json.loads(tokenizer_component_instance.__getstate__()	)

											# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
											if "sep" in state:
														lowerCamelCase__						:						List[str]						      =tuple(state['''sep''']	)
											if "cls" in state:
														lowerCamelCase__						:						List[str]						      =tuple(state['''cls''']	)

											lowerCamelCase__						:						Dict						      =False

											if state.get('''add_prefix_space''',    lowerCamelCase	) != add_prefix_space:
														lowerCamelCase__						:						int						      =add_prefix_space
														lowerCamelCase__						:						int						      =True

											if state.get('''trim_offsets''',    lowerCamelCase	) != trim_offsets:
														lowerCamelCase__						:						Optional[int]						      =trim_offsets
														lowerCamelCase__						:						Union[str, Any]						      =True

											if changes_to_apply:
														lowerCamelCase__						:						Dict						      =getattr(lowerCamelCase,    state.pop('''type'''	)	)
														lowerCamelCase__						:						Dict						      =component_class(**lowerCamelCase	)
														setattr(self.backend_tokenizer,    lowerCamelCase,    lowerCamelCase	)



					@property
					def 						snake_case			(			self				:    str	)->   str:
								if self._mask_token is None:
											if self.verbose:
														logger.error('''Using mask_token, but it is not set yet.'''	)
											return None
								return str(self._mask_token	)



					@mask_token.setter
					def 						snake_case			(			self				:    Tuple,    lowerCamelCase				:    List[Any]	)->   List[str]:
								lowerCamelCase__						:						List[str]						      =AddedToken(lowerCamelCase,    lstrip=lowerCamelCase,    rstrip=lowerCamelCase	) if isinstance(lowerCamelCase,    lowerCamelCase	) else value
								lowerCamelCase__						:						Any						      =value



					def 						snake_case			(			self				:    Optional[Any],    *lowerCamelCase				:    Tuple,    **lowerCamelCase				:    Dict	)->   BatchEncoding:
								lowerCamelCase__						:						Union[str, Any]						      =kwargs.get('''is_split_into_words''',    lowerCamelCase	)
								assert self.add_prefix_space or not is_split_into_words, (
								    F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
								    "to use it with pretokenized inputs."
								)

								return super()._batch_encode_plus(*lowerCamelCase,    **lowerCamelCase	)



					def 						snake_case			(			self				:    List[str],    *lowerCamelCase				:    Tuple,    **lowerCamelCase				:    List[Any]	)->   BatchEncoding:
								lowerCamelCase__						:						List[Any]						      =kwargs.get('''is_split_into_words''',    lowerCamelCase	)

								assert self.add_prefix_space or not is_split_into_words, (
								    F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
								    "to use it with pretokenized inputs."
								)

								return super()._encode_plus(*lowerCamelCase,    **lowerCamelCase	)



					def 						snake_case			(			self				:    str,    lowerCamelCase				:    str,    lowerCamelCase				:    Optional[str] = None	)->   Tuple[str]:
								lowerCamelCase__						:						str						      =self._tokenizer.model.save(lowerCamelCase,    name=lowerCamelCase	)
								return tuple(lowerCamelCase	)



					def 						snake_case			(			self				:    Dict,    lowerCamelCase				:    int,    lowerCamelCase				:    int=None	)->   str:
								lowerCamelCase__						:						int						      =[self.bos_token_id] + token_ids_a + [self.eos_token_id]
								if token_ids_a is None:
											return output

								return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]




					def 						snake_case			(			self				:    Optional[int],    lowerCamelCase				:    List[int],    lowerCamelCase				:    Optional[List[int]] = None	)->   List[int]:
								lowerCamelCase__						:						Tuple						      =[self.sep_token_id]
								lowerCamelCase__						:						str						      =[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]




