






from ctypes import c_float, sizeof
from enum import Enum
from typing import TYPE_CHECKING, Optional, Union


if TYPE_CHECKING:
   from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore


class 		lowerCAmelCase_				(  __a ):
     __lowerCamelCase       :    Any 	=     c_float





     @property
     def 						lowerCamelCase							(	self  )		->				int:
        return sizeof(self.value  )






def  UpperCAmelCase__						(    lowerCamelCase	:			int			,lowerCamelCase	:			int			,lowerCamelCase	:			int = 0    ):


   if dimension <= 0:
      lowerCamelCase									=fixed_dimension

   dimension -= num_token_to_add
   return dimension






def  UpperCAmelCase__						(    lowerCamelCase	:			int			,lowerCamelCase	:			ParameterFormat    ):
   return num_parameters * dtype.size







def  UpperCAmelCase__						(    lowerCamelCase	:			str    ):
   from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

   try:
      return AutoProcessor.from_pretrained(__UpperCamelCase    )
   except (ValueError, OSError, KeyError):
      lowerCamelCase				,       lowerCamelCase									=None, None
      try:
         lowerCamelCase									=AutoTokenizer.from_pretrained(__UpperCamelCase    )
      except (OSError, KeyError):
         pass
      try:
         lowerCamelCase									=AutoFeatureExtractor.from_pretrained(__UpperCamelCase    )
      except (OSError, KeyError):
         pass

      if tokenizer is not None and feature_extractor is not None:
         raise ValueError(
             f'''Couldn\'t auto-detect preprocessor for {model_name}. Found both a tokenizer and a feature extractor.'''    )
      elif tokenizer is None and feature_extractor is None:
         return None
      elif tokenizer is not None:
         return tokenizer
      else:
         return feature_extractor
"""simple docstring"""

def    lowerCAmelCase			(__UpperCamelCase							:    list							,					__UpperCamelCase							:    int			):
							"""simple docstring"""


							for index, item in enumerate(__UpperCamelCase			):
														if item == target:
																					return index
							return -1


def    lowerCAmelCase			(__UpperCamelCase							:    list							,					__UpperCamelCase							:    int							,					__UpperCamelCase							:    int							,					__UpperCamelCase							:    int			):
							"""simple docstring"""


							if not (0 <= high < len(__UpperCamelCase			) and 0 <= low < len(__UpperCamelCase			)):
														raise Exception('''Invalid upper or lower bound!'''			)
							if high < low:
														return -1
							if sequence[low] == target:
														return low
							if sequence[high] == target:
														return high
							return rec_linear_search(__UpperCamelCase							,					low + 1							,					high - 1							,					__UpperCamelCase			)


if __name__ == "__main__":
				__lowercase    =				input('''Enter numbers separated by comma:\n''').strip()
				__lowercase    =				[int(item.strip()) for item in user_input.split(''',''')]

				__lowercase    =				int(input('''Enter a single number to be found in the list:\n''').strip())
				__lowercase    =				linear_search(sequence, target)
				if result != -1:
								print(f'''linear_search({sequence}, {target}) = {result}''')
				else:
								print(f'''{target} was not found in {sequence}''')



