
"""simple docstring"""







import json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


_SCREAMING_SNAKE_CASE	       =      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE	       =      {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

_SCREAMING_SNAKE_CASE	       =      {
    """vocab_file""": {
        """junnyu/roformer_chinese_small""": """https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt""",
        """junnyu/roformer_chinese_base""": """https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt""",
        """junnyu/roformer_chinese_char_small""": (
            """https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt"""
        ),
        """junnyu/roformer_chinese_char_base""": (
            """https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt"""
        ),
        """junnyu/roformer_small_discriminator""": (
            """https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt"""
        ),
        """junnyu/roformer_small_generator""": (
            """https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt"""
        ),
    }
}

_SCREAMING_SNAKE_CASE	       =      {
    """junnyu/roformer_chinese_small""": 1_536,
    """junnyu/roformer_chinese_base""": 1_536,
    """junnyu/roformer_chinese_char_small""": 512,
    """junnyu/roformer_chinese_char_base""": 512,
    """junnyu/roformer_small_discriminator""": 128,
    """junnyu/roformer_small_generator""": 128,
}


_SCREAMING_SNAKE_CASE	       =      {
    """junnyu/roformer_chinese_small""": {"""do_lower_case""": True},
    """junnyu/roformer_chinese_base""": {"""do_lower_case""": True},
    """junnyu/roformer_chinese_char_small""": {"""do_lower_case""": True},
    """junnyu/roformer_chinese_char_base""": {"""do_lower_case""": True},
    """junnyu/roformer_small_discriminator""": {"""do_lower_case""": True},
    """junnyu/roformer_small_generator""": {"""do_lower_case""": True},
}







class 							__magic_name__     (		lowercase__   ):
					_SCREAMING_SNAKE_CASE       :					str     							=   VOCAB_FILES_NAMES
					_SCREAMING_SNAKE_CASE       :					Optional[int]     							=   PRETRAINED_VOCAB_FILES_MAP
					_SCREAMING_SNAKE_CASE       :					Any     							=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_SCREAMING_SNAKE_CASE       :					List[str]     							=   PRETRAINED_INIT_CONFIGURATION
					_SCREAMING_SNAKE_CASE       :					int     							=   RoFormerTokenizer





					def __init__(				self   :							Optional[int]							,						snake_case_   :							List[Any]=None							,						snake_case_   :							Dict=None							,						snake_case_   :							List[str]=True							,						snake_case_   :							Tuple="[UNK]"							,						snake_case_   :							List[Any]="[SEP]"							,						snake_case_   :							Optional[int]="[PAD]"							,						snake_case_   :							Union[str, Any]="[CLS]"							,						snake_case_   :							List[Any]="[MASK]"							,						snake_case_   :							Dict=True							,						snake_case_   :							List[str]=None							,						**snake_case_   :							Optional[int]							,						):
												super().__init__(
												    snake_case_							,						tokenizer_file=snake_case_							,						do_lower_case=snake_case_							,						unk_token=snake_case_							,						sep_token=snake_case_							,						pad_token=snake_case_							,						cls_token=snake_case_							,						mask_token=snake_case_							,						tokenize_chinese_chars=snake_case_							,						strip_accents=snake_case_							,						**snake_case_							,						)

												__snake_case     			=       json.loads(self.backend_tokenizer.normalizer.__getstate__()    )
												if (
												    pre_tok_state.get("lowercase"							,						snake_case_    ) != do_lower_case
												    or pre_tok_state.get("strip_accents"							,						snake_case_    ) != strip_accents
												):
																			__snake_case     			=       getattr(snake_case_							,						pre_tok_state.pop("type"    )    )
																			__snake_case     			=       do_lower_case
																			__snake_case     			=       strip_accents
																			__snake_case     			=       pre_tok_class(**snake_case_    )

												__snake_case     			=       do_lower_case





					def __getstate__(				self   :							List[Any]    ):
												__snake_case     			=       self.__dict__.copy()
												__snake_case     			=       BertPreTokenizer()
												return state





					def __setstate__(				self   :							Optional[Any]							,						snake_case_   :							str    ):
												__snake_case     			=       d
												__snake_case     			=       self.__dict__["_tokenizer"].get_vocab()
												__snake_case     			=       PreTokenizer.custom(JiebaPreTokenizer(snake_case_    )    )





					def 							lowerCAmelCase      (				self   :							Dict							,						snake_case_   :							Any							,						snake_case_   :							Tuple=None    ):
												__snake_case     			=       [self.cls_token_id] + token_ids_a + [self.sep_token_id]

												if token_ids_a:
																			output += token_ids_a + [self.sep_token_id]

												return output





					def 							lowerCAmelCase      (				self   :							int							,						snake_case_   :							List[int]							,						snake_case_   :							Optional[List[int]] = None    ):
												__snake_case     			=       [self.sep_token_id]
												__snake_case     			=       [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    ) * [0] + len(token_ids_a + sep    ) * [1]





					def 							lowerCAmelCase      (				self   :							Union[str, Any]							,						snake_case_   :							str							,						snake_case_   :							Optional[str] = None    ):
												__snake_case     			=       self._tokenizer.model.save(snake_case_							,						name=snake_case_    )
												return tuple(snake_case_    )





					def 							lowerCAmelCase      (				self   :							Tuple							,						snake_case_   :							Tuple							,						snake_case_   :							Optional[Any]=None							,						snake_case_   :							List[Any]=None							,						snake_case_   :							int=False							,						**snake_case_   :							Optional[int]							,						):
												__snake_case     			=       BertPreTokenizer()
												return super().save_pretrained(snake_case_							,						snake_case_							,						snake_case_							,						snake_case_							,						**snake_case_    )


"""simple docstring"""







def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE = 10							,    SCREAMING_SNAKE_CASE = 10_00							,    SCREAMING_SNAKE_CASE = True )  ->     int:







							"""simple docstring"""


							assert (
							    isinstance(SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )
							    and isinstance(SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )
							    and isinstance(SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )
							), "Invalid type of value(s) specified to function!"

							if min_val > max_val:
														raise ValueError("Invalid value for min_val or max_val (min_value < max_value)" )
							return min_val if option else max_val
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )  ->     int:







							"""simple docstring"""


							return int((number_a + number_a) / 2 )
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )  ->     None:







							"""simple docstring"""


							assert (
							    isinstance(SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE ) and isinstance(SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE ) and isinstance(SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )
							), 'argument values must be type of "int"'

							if lower > higher:
														raise ValueError("argument value for lower and higher must be(lower > higher)" )

							if not lower < to_guess < higher:
														raise ValueError(
														    "guess value must be within the range of lower and higher value" )

							def answer(SCREAMING_SNAKE_CASE ) -> str:
														if number > to_guess:
																					return "high"
														elif number < to_guess:
																					return "low"
														else:
																					return "same"

							print("started..." )

							__snake_case     			=       lower
							__snake_case     			=       higher

							__snake_case     			=       []

							while True:
														__snake_case     			=       get_avg(SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )
														last_numbers.append(SCREAMING_SNAKE_CASE )

														if answer(SCREAMING_SNAKE_CASE ) == "low":
																					__snake_case     			=       number
														elif answer(SCREAMING_SNAKE_CASE ) == "high":
																					__snake_case     			=       number
														else:
																					break

							print(F'''guess the number : {last_numbers[-1]}''' )
							print(F'''details : {last_numbers!s}''' )
def   __UpperCamelCase   (					)  ->     None:







							"""simple docstring"""


							__snake_case     			=       int(input("Enter lower value : " ).strip() )
							__snake_case     			=       int(input("Enter high value : " ).strip() )
							__snake_case     			=       int(input("Enter value to guess : " ).strip() )
							guess_the_number(SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )


if __name__ == "__main__":
		main()
