


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_roberta import RobertaTokenizer


lowerCAmelCase           =		logging.get_logger(__name__)

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

lowerCAmelCase           =		{
    '''vocab_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/vocab.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/vocab.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/vocab.json''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/merges.txt''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/merges.txt''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/merges.txt''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/tokenizer.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/tokenizer.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json''',
        '''roberta-base-openai-detector''': (
            '''https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json'''
        ),
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json'''
        ),
    },
}

lowerCAmelCase           =		{
    '''roberta-base''': 5_1_2,
    '''roberta-large''': 5_1_2,
    '''roberta-large-mnli''': 5_1_2,
    '''distilroberta-base''': 5_1_2,
    '''roberta-base-openai-detector''': 5_1_2,
    '''roberta-large-openai-detector''': 5_1_2,
}





class       A    (   A_ ):
							UpperCamelCase_   :							Optional[int]       =VOCAB_FILES_NAMES
							UpperCamelCase_   :							Optional[int]       =PRETRAINED_VOCAB_FILES_MAP
							UpperCamelCase_   :							Optional[Any]       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCamelCase_   :							Dict       =['''input_ids''', '''attention_mask''']
							UpperCamelCase_   :							Optional[int]       =RobertaTokenizer


							def __init__(self      ,				lowerCAmelCase=None      ,				lowerCAmelCase=None      ,				lowerCAmelCase=None      ,				lowerCAmelCase="replace"      ,				lowerCAmelCase="<s>"      ,				lowerCAmelCase="</s>"      ,				lowerCAmelCase="</s>"      ,				lowerCAmelCase="<s>"      ,				lowerCAmelCase="<unk>"      ,				lowerCAmelCase="<pad>"      ,				lowerCAmelCase="<mask>"      ,				lowerCAmelCase=False      ,				lowerCAmelCase=True      ,				**lowerCAmelCase      ,				):
									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      ,				)

									__lowercase=			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()					)
									if pre_tok_state.get('add_prefix_space'      ,				lowerCAmelCase					) != add_prefix_space:
											__lowercase=			getattr(lowerCAmelCase      ,				pre_tok_state.pop('type'					)					)
											__lowercase=			add_prefix_space
											__lowercase=			pre_tok_class(**lowerCAmelCase					)

									__lowercase=			add_prefix_space

									__lowercase=			'post_processor'
									__lowercase=			getattr(self.backend_tokenizer      ,				lowerCAmelCase      ,				lowerCAmelCase					)
									if tokenizer_component_instance:
											__lowercase=			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=			tuple(state['sep']					)
											if "cls" in state:
													__lowercase=			tuple(state['cls']					)

											__lowercase=			False

											if state.get('add_prefix_space'      ,				lowerCAmelCase					) != add_prefix_space:
													__lowercase=			add_prefix_space
													__lowercase=			True

											if state.get('trim_offsets'      ,				lowerCAmelCase					) != trim_offsets:
													__lowercase=			trim_offsets
													__lowercase=			True

											if changes_to_apply:
													__lowercase=			getattr(lowerCAmelCase      ,				state.pop('type'					)					)
													__lowercase=			component_class(**lowerCAmelCase					)
													setattr(self.backend_tokenizer      ,				lowerCAmelCase      ,				lowerCAmelCase					)


							@property
							def 			_A       (self					):
									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 			_A       (self      ,				lowerCAmelCase					):
									__lowercase=			AddedToken(lowerCAmelCase      ,				lstrip=lowerCAmelCase      ,				rstrip=lowerCAmelCase					) if isinstance(lowerCAmelCase      ,				lowerCAmelCase					) else value
									__lowercase=			value


							def 			_A       (self      ,				*lowerCAmelCase      ,				**lowerCAmelCase					):
									__lowercase=			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 			_A       (self      ,				*lowerCAmelCase      ,				**lowerCAmelCase					):
									__lowercase=			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 			_A       (self      ,				lowerCAmelCase      ,				lowerCAmelCase = None					):
									__lowercase=			self._tokenizer.model.save(lowerCAmelCase      ,				name=lowerCAmelCase					)
									return tuple(lowerCAmelCase					)


							def 			_A       (self      ,				lowerCAmelCase      ,				lowerCAmelCase=None					):
									__lowercase=			[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 			_A       (self      ,				lowerCAmelCase      ,				lowerCAmelCase = None					):
									__lowercase=			[self.sep_token_id]
									__lowercase=			[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]










from collections.abc import Sequence







def        _lowerCamelCase(	lowercase__   , lowercase__ = False	)						->	float:

		'''simple docstring'''







		if not arr:
				return 0

		__lowercase=			0 if allow_empty_subarrays else float('-inf'	)
		__lowercase=			0.0
		for num in arr:
				__lowercase=			max(0 if allow_empty_subarrays else num   , curr_sum + num	)
				__lowercase=			max(lowercase__   , lowercase__	)

		return max_sum


if __name__ == "__main__":
	from doctest import testmod

	testmod()

	lowerCAmelCase           =		[-2, 1, -3, 4, -1, 2, 1, -5, 4]
	print(F'{max_subarray_sum(nums) = }')






