



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_bart import BartTokenizer


lowerCAmelCase__					  =  logging.get_logger(__name__)


lowerCAmelCase__					  =  {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all BART models at https://huggingface.co/models?filter=bart
lowerCAmelCase__					  =  {
    '''vocab_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/vocab.json''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/vocab.json''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/merges.txt''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/merges.txt''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json''',
    },
}

lowerCAmelCase__					  =  {
    '''facebook/bart-base''': 1_0_2_4,
    '''facebook/bart-large''': 1_0_2_4,
    '''facebook/bart-large-mnli''': 1_0_2_4,
    '''facebook/bart-large-cnn''': 1_0_2_4,
    '''facebook/bart-large-xsum''': 1_0_2_4,
    '''yjernite/bart_eli5''': 1_0_2_4,
}

class 				snake_case__(_UpperCamelCase      ):

					"""simple docstring"""






					lowercase_								=		VOCAB_FILES_NAMES
					lowercase_								=		PRETRAINED_VOCAB_FILES_MAP
					lowercase_								=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowercase_								=		["""input_ids""", """attention_mask"""]
					lowercase_								=		BartTokenizer







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

									lowercase__					:   Optional[int]													=					json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()					)
									if pre_tok_state.get("add_prefix_space"				,       SCREAMING_SNAKE_CASE					) != add_prefix_space:
													lowercase__					:   List[Any]													=					getattr(SCREAMING_SNAKE_CASE				,       pre_tok_state.pop("type"					)					)
													lowercase__					:   Union[str, Any]													=					add_prefix_space
													lowercase__					:   Optional[int]													=					pre_tok_class(**SCREAMING_SNAKE_CASE					)

									lowercase__					:   Optional[Any]													=					add_prefix_space

									# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
									lowercase__					:   int													=					"post_processor"
									lowercase__					:   Dict													=					getattr(self.backend_tokenizer				,       SCREAMING_SNAKE_CASE				,       SCREAMING_SNAKE_CASE					)
									if tokenizer_component_instance:
													lowercase__					:   Optional[int]													=					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:
																	lowercase__					:   Dict													=					tuple(state["sep"]					)
													if "cls" in state:
																	lowercase__					:   List[str]													=					tuple(state["cls"]					)

													lowercase__					:   Union[str, Any]													=					False

													if state.get("add_prefix_space"				,       SCREAMING_SNAKE_CASE					) != add_prefix_space:
																	lowercase__					:   Any													=					add_prefix_space
																	lowercase__					:   Dict													=					True

													if state.get("trim_offsets"				,       SCREAMING_SNAKE_CASE					) != trim_offsets:
																	lowercase__					:   Optional[Any]													=					trim_offsets
																	lowercase__					:   List[Any]													=					True

													if changes_to_apply:
																	lowercase__					:   Any													=					getattr(SCREAMING_SNAKE_CASE				,       state.pop("type"					)					)
																	lowercase__					:   List[Any]													=					component_class(**SCREAMING_SNAKE_CASE					)
																	setattr(self.backend_tokenizer				,       SCREAMING_SNAKE_CASE				,       SCREAMING_SNAKE_CASE					)







					@property
					def 			snake_case					(							self :     Any					):
									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 :     Dict				,       SCREAMING_SNAKE_CASE :     Dict					):
									lowercase__					:   List[Any]													=					AddedToken(SCREAMING_SNAKE_CASE				,       lstrip=SCREAMING_SNAKE_CASE				,       rstrip=SCREAMING_SNAKE_CASE					) if isinstance(SCREAMING_SNAKE_CASE				,       SCREAMING_SNAKE_CASE					) else value
									lowercase__					:   List[Any]													=					value







					def 			snake_case					(							self :     Union[str, Any]				,       *SCREAMING_SNAKE_CASE :     Any				,       **SCREAMING_SNAKE_CASE :     Optional[Any]					):
									lowercase__					:   Optional[Any]													=					kwargs.get("is_split_into_words"				,       SCREAMING_SNAKE_CASE					)

									if is_split_into_words and not self.add_prefix_space:
													raise ValueError(
													    f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
													    "to use it with pretokenized inputs."					)

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







					def 			snake_case					(							self :     Optional[Any]				,       *SCREAMING_SNAKE_CASE :     Optional[int]				,       **SCREAMING_SNAKE_CASE :     Dict					):
									lowercase__					:   Optional[int]													=					kwargs.get("is_split_into_words"				,       SCREAMING_SNAKE_CASE					)

									if is_split_into_words and not self.add_prefix_space:
													raise ValueError(
													    f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
													    "to use it with pretokenized inputs."					)

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







					def 			snake_case					(							self :     Dict				,       SCREAMING_SNAKE_CASE :     str				,       SCREAMING_SNAKE_CASE :     Optional[str] = None					):
									lowercase__					:   str													=					self._tokenizer.model.save(SCREAMING_SNAKE_CASE				,       name=SCREAMING_SNAKE_CASE					)
									return tuple(SCREAMING_SNAKE_CASE					)







					def 			snake_case					(							self :     int				,       SCREAMING_SNAKE_CASE :     Union[str, Any]				,       SCREAMING_SNAKE_CASE :     List[str]=None					):
									lowercase__					:   Tuple													=					[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 :     Dict				,       SCREAMING_SNAKE_CASE :     List[int]				,       SCREAMING_SNAKE_CASE :     Optional[List[int]] = None					):
									lowercase__					:   List[str]													=					[self.sep_token_id]
									lowercase__					:   Tuple													=					[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]









import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser


def  __lowerCamelCase (       lowerCamelCase__						):

				"""simple docstring"""


				lowercase__					:   Optional[Any]													=					{}
				lowercase__					:   Tuple													=					tokenizer(example["content"]					,			truncation=lowerCamelCase__						)["input_ids"]
				lowercase__					:   Optional[int]													=					len(example["content"]						) / len(output["input_ids"]						)
				return output


lowerCAmelCase__					  =  HfArgumentParser(PretokenizationArguments)
lowerCAmelCase__					  =  parser.parse_args()
if args.num_workers is None:
				lowerCAmelCase__					  =  multiprocessing.cpu_count()
lowerCAmelCase__					  =  AutoTokenizer.from_pretrained(args.tokenizer_dir)

lowerCAmelCase__					  =  time.time()
lowerCAmelCase__					  =  load_dataset(args.dataset_name, split='''train''')
print(f'''Dataset loaded in {time.time()-t_start:.2f}s''')

lowerCAmelCase__					  =  time.time()
lowerCAmelCase__					  =  ds.map(
    tokenize,
    num_proc=args.num_workers,
    remove_columns=[
        '''repo_name''',
        '''path''',
        '''copies''',
        '''size''',
        '''content''',
        '''license''',
        '''hash''',
        '''line_mean''',
        '''line_max''',
        '''alpha_frac''',
        '''autogenerated''',
    ],
)
print(f'''Dataset tokenized in {time.time()-t_start:.2f}s''')

lowerCAmelCase__					  =  time.time()
ds.push_to_hub(args.tokenized_data_repo)
print(f'''Data pushed to the hub in {time.time()-t_start:.2f}s''')




