





'''simple docstring'''






def 					_a   (__SCREAMING_SNAKE_CASE = 10  ,      __SCREAMING_SNAKE_CASE = 1000  ,      __SCREAMING_SNAKE_CASE = True   ):


		"""simple docstring"""

		assert (
		    isinstance(__UpperCamelCase  ,      __UpperCamelCase   )
		    and isinstance(__UpperCamelCase  ,      __UpperCamelCase   )
		    and isinstance(__UpperCamelCase  ,      __UpperCamelCase   )
		), "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 					_a   (__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ):


		"""simple docstring"""

		return int((number_a + number_a) / 2   )


def 					_a   (__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ):


		"""simple docstring"""

		assert (
		    isinstance(__UpperCamelCase  ,      __UpperCamelCase   ) and isinstance(__UpperCamelCase  ,      __UpperCamelCase   ) and isinstance(__UpperCamelCase  ,      __UpperCamelCase   )
		), '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...'''   )

		_UpperCamelCase       			=lower
		_UpperCamelCase       			=higher

		_UpperCamelCase       			=[]

		while True:
				_UpperCamelCase       			=get_avg(__UpperCamelCase  ,      __UpperCamelCase   )
				last_numbers.append(__UpperCamelCase   )

				if answer(__UpperCamelCase   ) == "low":
						_UpperCamelCase       			=number
				elif answer(__UpperCamelCase   ) == "high":
						_UpperCamelCase       			=number
				else:
						break

		print(f'''guess the number : {last_numbers[-1]}'''   )
		print(f'''details : {last_numbers!s}'''   )


def 					_a   ():


		"""simple docstring"""

		_UpperCamelCase       			=int(input('''Enter lower value : '''   ).strip()   )
		_UpperCamelCase       			=int(input('''Enter high value : '''   ).strip()   )
		_UpperCamelCase       			=int(input('''Enter value to guess : '''   ).strip()   )
		guess_the_number(__UpperCamelCase  ,      __UpperCamelCase  ,      __UpperCamelCase   )


if __name__ == "__main__":
						main()













'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCamelCase						: Union[str, Any]		=   logging.get_logger(__name__)

__lowerCamelCase						: int		=   {
    'google/mobilenet_v2_1.4_224': 'https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json',
    'google/mobilenet_v2_1.0_224': 'https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json',
    'google/mobilenet_v2_0.75_160': 'https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json',
    'google/mobilenet_v2_0.35_96': 'https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json',
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}







class 		UpperCAmelCase   (				lowercase_):


  """simple docstring"""







  lowerCAmelCase_					=				"""mobilenet_v2"""


  def __init__(				self    :					Tuple							,	UpperCamelCase__    :					Union[str, Any]=3							,	UpperCamelCase__    :					Dict=224							,	UpperCamelCase__    :					str=1.0							,	UpperCamelCase__    :					List[Any]=8							,	UpperCamelCase__    :					Union[str, Any]=8							,	UpperCamelCase__    :					str=6							,	UpperCamelCase__    :					str=32							,	UpperCamelCase__    :					str=True							,	UpperCamelCase__    :					int=True							,	UpperCamelCase__    :					str="relu6"							,	UpperCamelCase__    :					Tuple=True							,	UpperCamelCase__    :					List[str]=0.8							,	UpperCamelCase__    :					List[str]=0.02							,	UpperCamelCase__    :					str=0.001							,	UpperCamelCase__    :					Dict=255							,	**UpperCamelCase__    :					Tuple							,	)     ->						List[Any]:
    super().__init__(**UpperCamelCase__  )

    if depth_multiplier <= 0:
      raise ValueError('''depth_multiplier must be greater than zero.'''  )

    _UpperCamelCase       			=num_channels
    _UpperCamelCase       			=image_size
    _UpperCamelCase       			=depth_multiplier
    _UpperCamelCase       			=depth_divisible_by
    _UpperCamelCase       			=min_depth
    _UpperCamelCase       			=expand_ratio
    _UpperCamelCase       			=output_stride
    _UpperCamelCase       			=first_layer_is_expansion
    _UpperCamelCase       			=finegrained_output
    _UpperCamelCase       			=hidden_act
    _UpperCamelCase       			=tf_padding
    _UpperCamelCase       			=classifier_dropout_prob
    _UpperCamelCase       			=initializer_range
    _UpperCamelCase       			=layer_norm_eps
    _UpperCamelCase       			=semantic_loss_ignore_index







class 		UpperCAmelCase   (				lowercase_):


  """simple docstring"""







  lowerCAmelCase_					=				version.parse("""1.11""")


  @property
  def   UpperCamelCase__      (				self    :					str  )     ->						Mapping[str, Mapping[int, str]]:
    return OrderedDict([('''pixel_values''', {0: '''batch'''})]  )


  @property
  def   UpperCamelCase__      (				self    :					Optional[Any]  )     ->						Mapping[str, Mapping[int, str]]:
    if self.task == "image-classification":
      return OrderedDict([('''logits''', {0: '''batch'''})]  )
    else:
      return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]  )




  @property
  def   UpperCamelCase__      (				self    :					List[Any]  )     ->						float:
    return 1E-4






