code: 
  """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
  
  
  SCREAMING_SNAKE_CASE_     				=   logging.get_logger(__name__)
  
  SCREAMING_SNAKE_CASE_     				=   {
      'apple/mobilevit-small': 'https://huggingface.co/apple/mobilevit-small/resolve/main/config.json',
      'apple/mobilevit-x-small': 'https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json',
      'apple/mobilevit-xx-small': 'https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json',
      'apple/deeplabv3-mobilevit-small': (
          'https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json'
      ),
      'apple/deeplabv3-mobilevit-x-small': (
          'https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json'
      ),
      'apple/deeplabv3-mobilevit-xx-small': (
          'https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json'
      ),
      # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
  }
  
  
  
  
  
  
  class     __a			(					lowerCAmelCase_			):
         _lowerCamelCase							:							int       =			'mobilevit'
  
  
  
  
  
  
  
         def __init__(					self							,lowerCamelCase_=3							,lowerCamelCase_=256							,lowerCamelCase_=2							,lowerCamelCase_=[144, 192, 240]							,lowerCamelCase_=[16, 32, 64, 96, 128, 160, 640]							,lowerCamelCase_=4							,lowerCamelCase_=2.0							,lowerCamelCase_=4.0							,lowerCamelCase_="silu"							,lowerCamelCase_=3							,lowerCamelCase_=32							,lowerCamelCase_=0.1							,lowerCamelCase_=0.0							,lowerCamelCase_=0.1							,lowerCamelCase_=0.0_2							,lowerCamelCase_=1e-5							,lowerCamelCase_=True							,lowerCamelCase_=256							,lowerCamelCase_=[6, 12, 18]							,lowerCamelCase_=0.1							,lowerCamelCase_=255							,**lowerCamelCase_							,):
  
  
  
            '''simple docstring'''
  
            super().__init__(**lowerCamelCase_		)
  
            _UpperCAmelCase   	=					num_channels
            _UpperCAmelCase   	=					image_size
            _UpperCAmelCase   	=					patch_size
            _UpperCAmelCase   	=					hidden_sizes
            _UpperCAmelCase   	=					neck_hidden_sizes
            _UpperCAmelCase   	=					num_attention_heads
            _UpperCAmelCase   	=					mlp_ratio
            _UpperCAmelCase   	=					expand_ratio
            _UpperCAmelCase   	=					hidden_act
            _UpperCAmelCase   	=					conv_kernel_size
            _UpperCAmelCase   	=					output_stride
            _UpperCAmelCase   	=					hidden_dropout_prob
            _UpperCAmelCase   	=					attention_probs_dropout_prob
            _UpperCAmelCase   	=					classifier_dropout_prob
            _UpperCAmelCase   	=					initializer_range
            _UpperCAmelCase   	=					layer_norm_eps
            _UpperCAmelCase   	=					qkv_bias
  
            # decode head attributes for semantic segmentation
            _UpperCAmelCase   	=					aspp_out_channels
            _UpperCAmelCase   	=					atrous_rates
            _UpperCAmelCase   	=					aspp_dropout_prob
            _UpperCAmelCase   	=					semantic_loss_ignore_index
  
  
  
  
  
  
  class     __a			(					lowerCAmelCase_			):
         _lowerCamelCase							:							List[str]       =			version.parse('1.11'			)
  
  
  
  
  
  
  
         @property
         def    _snake_case			(					self		):
  
  
  
            '''simple docstring'''
  
            return OrderedDict([("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"})]		)
  
  
  
  
  
  
  
         @property
         def    _snake_case			(					self		):
  
  
  
            '''simple docstring'''
  
            if self.task == "image-classification":
               return OrderedDict([("logits", {0: "batch"})]		)
            else:
               return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]		)
  
  
  
  
  
  
  
         @property
         def    _snake_case			(					self		):
  
  
  
            '''simple docstring'''
  
            return 1e-4
  
  
style_context: 
  """simple docstring"""
  
  
  
  
  
  
  
  from math import floor, sqrt
  def 			__UpperCAmelCase		(		a_			:		int				)     ->       int:
     _UpperCAmelCase   	=					0.0
     _UpperCAmelCase   	=					1.0
     _UpperCAmelCase   	=					int(sqrt(a_				)				)
     _UpperCAmelCase   	=					root
     _UpperCAmelCase   	=					0
     while integer_part != 2 * root:
        _UpperCAmelCase   	=					denominator * integer_part - numerator
        _UpperCAmelCase   	=					(n - numerator**2) / denominator
        _UpperCAmelCase   	=					int((root + numerator) / denominator				)
        period += 1
     return period
  def 			__UpperCAmelCase		(		a_			:		int = 1_00_00				)     ->       int:
     _UpperCAmelCase   	=					0
     for i in range(2    ,  n + 1				):
        _UpperCAmelCase   	=					sqrt(a_				)
        if sr - floor(a_				) != 0 and continuous_fraction_period(a_				) % 2 == 1:
           count_odd_periods += 1
     return count_odd_periods
  
  
  if __name__ == "__main__":
    print(f'''{solution(int(input().strip()))}''')
  
  