




import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
					from transformers.pipelines.conversational import Conversation


UpperCamelCase__					    =    logging.get_logger(__name__)

UpperCamelCase__					    =    {"""tokenizer_file""": """tokenizer.json"""}

UpperCamelCase__					    =    {
    """tokenizer_file""": {
        """bigscience/tokenizer""": """https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json""",
        """bigscience/bloom-560m""": """https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json""",
        """bigscience/bloom-1b1""": """https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json""",
        """bigscience/bloom-1b7""": """https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json""",
        """bigscience/bloom-3b""": """https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json""",
        """bigscience/bloom-7b1""": """https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json""",
        """bigscience/bloom""": """https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json""",
    },
}
class     a__					(      snake_case__   ):
						_a							:					Optional[int]      =					VOCAB_FILES_NAMES
						_a							:					Optional[int]      =					PRETRAINED_VOCAB_FILES_MAP
						_a							:					Any      =					["""input_ids""", """attention_mask"""]
						_a							:					Optional[int]      =					None






						def __init__(     self	,    _A=None	,    _A=None	,    _A=None	,    _A="<unk>"	,    _A="<s>"	,    _A="</s>"	,    _A="<pad>"	,    _A=False	,    _A=False	,    **_A	,    ):




											"""simple docstring"""



											super().__init__(
											    _A	,    _A	,    tokenizer_file=_A	,    unk_token=_A	,    bos_token=_A	,    eos_token=_A	,    pad_token=_A	,    add_prefix_space=_A	,    clean_up_tokenization_spaces=_A	,    **_A	,    )
											__lowerCAmelCase            = json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()    )
											if pre_tok_state.get("add_prefix_space"	,    _A    ) != add_prefix_space:
																__lowerCAmelCase            = getattr(_A	,    pre_tok_state.pop("type"    )    )
																__lowerCAmelCase            = add_prefix_space
																__lowerCAmelCase            = pre_tok_class(**_A    )

											__lowerCAmelCase            = add_prefix_space






						def        __SCREAMING_SNAKE_CASE(     self	,    *_A	,    **_A    ):




											"""simple docstring"""



											__lowerCAmelCase            = kwargs.get("is_split_into_words"	,    _A    )
											if not (self.add_prefix_space or not is_split_into_words):
																raise Exception(
																    f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"""
																    " pretokenized inputs."    )

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






						def        __SCREAMING_SNAKE_CASE(     self	,    *_A	,    **_A    ):




											"""simple docstring"""



											__lowerCAmelCase            = kwargs.get("is_split_into_words"	,    _A    )

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

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






						def        __SCREAMING_SNAKE_CASE(     self	,    _A	,    _A = None    ):




											"""simple docstring"""



											__lowerCAmelCase            = self._tokenizer.model.save(_A	,    name=_A    )
											return tuple(_A    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = []
											for is_user, text in conversation.iter_texts():
																input_ids.extend(self.encode(_A	,    add_special_tokens=_A    ) + [self.eos_token_id]    )

											if len(_A    ) > self.model_max_length:
																__lowerCAmelCase            = input_ids[-self.model_max_length :]
											return input_ids









def 			_a   (		SCREAMING_SNAKE_CASE_							:       int   ,   SCREAMING_SNAKE_CASE_							:       int  ):
					if b == 0:
										return 1
					if (b % 2) == 0:
										return actual_power(SCREAMING_SNAKE_CASE_   ,   int(b / 2  )  ) * actual_power(SCREAMING_SNAKE_CASE_   ,   int(b / 2  )  )
					else:
										return a * actual_power(SCREAMING_SNAKE_CASE_   ,   int(b / 2  )  ) * actual_power(SCREAMING_SNAKE_CASE_   ,   int(b / 2  )  )







def 			_a   (		SCREAMING_SNAKE_CASE_							:       int   ,   SCREAMING_SNAKE_CASE_							:       int  ):
					if b < 0:
										return 1 / actual_power(SCREAMING_SNAKE_CASE_   ,   SCREAMING_SNAKE_CASE_  )
					return actual_power(SCREAMING_SNAKE_CASE_   ,   SCREAMING_SNAKE_CASE_  )


if __name__ == "__main__":
					print(power(-2, -3))




