


"""simple docstring"""







import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


a__				:							int						=     logging.get_logger(__name__)

a__				:							Optional[int]						=     {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

a__				:							List[Any]						=     {
    '''vocab_file''': {'''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt'''},
    '''tokenizer_file''': {
        '''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json'''
    },
}

a__				:							Optional[Any]						=     {'''mobilebert-uncased''': 5_1_2}


a__				:							Any						=     {}




class  UpperCamelCase_	( UpperCamelCase):

	"""simple docstring"""





	snake_case__				:  Tuple    					=			VOCAB_FILES_NAMES
	snake_case__				:  str    					=			PRETRAINED_VOCAB_FILES_MAP
	snake_case__				:  Optional[Any]    					=			PRETRAINED_INIT_CONFIGURATION
	snake_case__				:  Optional[Any]    					=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	snake_case__				:  Dict    					=			MobileBertTokenizer




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

						__SCREAMING_SNAKE_CASE						   =				json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
						if (
						    normalizer_state.get("lowercase"			,			UpperCAmelCase__   ) != do_lower_case
						    or normalizer_state.get("strip_accents"			,			UpperCAmelCase__   ) != strip_accents
						    or normalizer_state.get("handle_chinese_chars"			,			UpperCAmelCase__   ) != tokenize_chinese_chars
						):
											__SCREAMING_SNAKE_CASE						   =				getattr(UpperCAmelCase__			,			normalizer_state.pop("type"   )   )
											__SCREAMING_SNAKE_CASE						   =				do_lower_case
											__SCREAMING_SNAKE_CASE						   =				strip_accents
											__SCREAMING_SNAKE_CASE						   =				tokenize_chinese_chars
											__SCREAMING_SNAKE_CASE						   =				normalizer_class(**UpperCAmelCase__   )

						__SCREAMING_SNAKE_CASE						   =				do_lower_case




	def   UpperCAmelCase_      ( self			:				Union[str, Any]			,			UpperCAmelCase__			:				Tuple			,			UpperCAmelCase__			:				Tuple=None   )       ->	List[Any]:
						__SCREAMING_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   UpperCAmelCase_      ( self			:				Optional[int]			,			UpperCAmelCase__			:				List[int]			,			UpperCAmelCase__			:				Optional[List[int]] = None   )       ->	List[int]:
						__SCREAMING_SNAKE_CASE						   =				[self.sep_token_id]
						__SCREAMING_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   UpperCAmelCase_      ( self			:				Tuple			,			UpperCAmelCase__			:				str			,			UpperCAmelCase__			:				Optional[str] = None   )       ->	Tuple[str]:
						__SCREAMING_SNAKE_CASE						   =				self._tokenizer.model.save(UpperCAmelCase__			,			name=UpperCAmelCase__   )
						return tuple(UpperCAmelCase__   )

"""simple docstring"""







from __future__ import annotations

import math
from collections.abc import Callable



def 			lowercase__(       __SCREAMING_SNAKE_CASE							:     Callable[[int | float], int | float]     ,			__SCREAMING_SNAKE_CASE							:     int | float     ,			__SCREAMING_SNAKE_CASE							:     int | float     ,			__SCREAMING_SNAKE_CASE							:     int = 1_00     ,			):
     lowercase_	:				Dict													=	x_start
     lowercase_	:				Optional[Any]													=	fnc(__SCREAMING_SNAKE_CASE      )
     lowercase_	:				Optional[Any]													=	0.0

     for _ in range(__SCREAMING_SNAKE_CASE      ):
          # Approximates curve as a sequence of linear lines and sums their length
          lowercase_	:				Union[str, Any]													=	(x_end - x_start) / steps + xa
          lowercase_	:				str													=	fnc(__SCREAMING_SNAKE_CASE      )
          length += math.hypot(xa - xa     ,			fxa - fxa      )

          # Increment step
          lowercase_	:				List[Any]													=	xa
          lowercase_	:				Optional[Any]													=	fxa

     return length


if __name__ == "__main__":



       def 			lowercase__(       __SCREAMING_SNAKE_CASE							:     Any      ):
            return math.sin(10 * x      )

       print("f(x) = sin(10 * x)")
       print("The length of the curve from x = -10 to x = 10 is:")
       __SCREAMING_SNAKE_CASE    	=10
       while i <= 10_0000:
              print(F"With {i} steps: {line_length(f, -10, 10, i)}")
              i *= 10

