






import numpy as np
import skfuzzy as fuzz

if __name__ == "__main__":
  # Create universe of discourse in Python using linspace ()
  __a:     Tuple   					=					np.linspace(start=0, stop=75, num=75, endpoint=True, retstep=False)

  # Create two fuzzy sets by defining any membership function
  # (trapmf(), gbellmf(), gaussmf(), etc).
  __a:     str   					=					[0, 25, 50]
  __a:     Union[str, Any]   					=					[25, 50, 75]
  __a:     int   					=					fuzz.membership.trimf(X, abca)
  __a:     List[Any]   					=					fuzz.membership.trimf(X, abca)

  # Compute the different operations using inbuilt functions.
  __a:     Any   					=					np.ones(75)
  __a:     Optional[Any]   					=					np.zeros((75,))
  # 1. Union = max(µA(x), µB(x))
  __a:     Tuple   					=					fuzz.fuzzy_or(X, young, X, middle_aged)[1]
  # 2. Intersection = min(µA(x), µB(x))
  __a:     int   					=					fuzz.fuzzy_and(X, young, X, middle_aged)[1]
  # 3. Complement (A) = (1- min(µA(x))
  __a:     str   					=					fuzz.fuzzy_not(young)
  # 4. Difference (A/B) = min(µA(x),(1- µB(x)))
  __a:     str   					=					fuzz.fuzzy_and(X, young, X, fuzz.fuzzy_not(middle_aged)[1])[1]
  # 5. Algebraic Sum = [µA(x) + µB(x) – (µA(x) * µB(x))]
  __a:     int   					=					young + middle_aged - (young * middle_aged)
  # 6. Algebraic Product = (µA(x) * µB(x))
  __a:     Optional[Any]   					=					young * middle_aged
  # 7. Bounded Sum = min[1,(µA(x), µB(x))]
  __a:     Optional[Any]   					=					fuzz.fuzzy_and(X, one, X, young + middle_aged)[1]
  # 8. Bounded difference = min[0,(µA(x), µB(x))]
  __a:     Any   					=					fuzz.fuzzy_or(X, zero, X, young - middle_aged)[1]

  # max-min composition
  # max-product composition

  # Plot each set A, set B and each operation result using plot() and subplot().
  from matplotlib import pyplot as plt

  plt.figure()

  plt.subplot(4, 3, 1)
  plt.plot(X, young)
  plt.title('''Young''')
  plt.grid(True)

  plt.subplot(4, 3, 2)
  plt.plot(X, middle_aged)
  plt.title('''Middle aged''')
  plt.grid(True)

  plt.subplot(4, 3, 3)
  plt.plot(X, union)
  plt.title('''union''')
  plt.grid(True)

  plt.subplot(4, 3, 4)
  plt.plot(X, intersection)
  plt.title('''intersection''')
  plt.grid(True)

  plt.subplot(4, 3, 5)
  plt.plot(X, complement_a)
  plt.title('''complement_a''')
  plt.grid(True)

  plt.subplot(4, 3, 6)
  plt.plot(X, difference)
  plt.title('''difference a/b''')
  plt.grid(True)

  plt.subplot(4, 3, 7)
  plt.plot(X, alg_sum)
  plt.title('''alg_sum''')
  plt.grid(True)

  plt.subplot(4, 3, 8)
  plt.plot(X, alg_product)
  plt.title('''alg_product''')
  plt.grid(True)

  plt.subplot(4, 3, 9)
  plt.plot(X, bdd_sum)
  plt.title('''bdd_sum''')
  plt.grid(True)

  plt.subplot(4, 3, 10)
  plt.plot(X, bdd_difference)
  plt.title('''bdd_difference''')
  plt.grid(True)

  plt.subplots_adjust(hspace=0.5)
  plt.show()







from collections import OrderedDict
from typing import List, Mapping

from packaging import version

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


__a:     Dict   					=					logging.get_logger(__name__)

__a:     Optional[int]   					=					{
    '''google/efficientnet-b7''': '''https://huggingface.co/google/efficientnet-b7/resolve/main/config.json''',
}
class 		SCREAMING_SNAKE_CASE__	(  UpperCAmelCase     ):

  '''simple docstring'''







  _lowerCamelCase    =  '''efficientnet'''


  def __init__(      self		:			Dict       ,				lowerCamelCase		:			int = 3       ,				lowerCamelCase		:			int = 600       ,				lowerCamelCase		:			float = 2.0       ,				lowerCamelCase		:			float = 3.1       ,				lowerCamelCase		:			int = 8       ,				lowerCamelCase		:			List[int] = [3, 3, 5, 3, 5, 5, 3]       ,				lowerCamelCase		:			List[int] = [32, 16, 24, 40, 80, 112, 192]       ,				lowerCamelCase		:			List[int] = [16, 24, 40, 80, 112, 192, 320]       ,				lowerCamelCase		:			List[int] = []       ,				lowerCamelCase		:			List[int] = [1, 2, 2, 2, 1, 2, 1]       ,				lowerCamelCase		:			List[int] = [1, 2, 2, 3, 3, 4, 1]       ,				lowerCamelCase		:			List[int] = [1, 6, 6, 6, 6, 6, 6]       ,				lowerCamelCase		:			float = 0.25       ,				lowerCamelCase		:			str = "swish"       ,				lowerCamelCase		:			int = 2560       ,				lowerCamelCase		:			str = "mean"       ,				lowerCamelCase		:			float = 0.02       ,				lowerCamelCase		:			float = 0.001       ,				lowerCamelCase		:			float = 0.99       ,				lowerCamelCase		:			float = 0.5       ,				lowerCamelCase		:			float = 0.2       ,				**lowerCamelCase		:			List[str]       ,				)						->	Union[str, Any]:


         """simple docstring"""
         super().__init__(**lowerCamelCase							)

         _UpperCAmelCase							=    num_channels
         _UpperCAmelCase							=    image_size
         _UpperCAmelCase							=    width_coefficient
         _UpperCAmelCase							=    depth_coefficient
         _UpperCAmelCase							=    depth_divisor
         _UpperCAmelCase							=    kernel_sizes
         _UpperCAmelCase							=    in_channels
         _UpperCAmelCase							=    out_channels
         _UpperCAmelCase							=    depthwise_padding
         _UpperCAmelCase							=    strides
         _UpperCAmelCase							=    num_block_repeats
         _UpperCAmelCase							=    expand_ratios
         _UpperCAmelCase							=    squeeze_expansion_ratio
         _UpperCAmelCase							=    hidden_act
         _UpperCAmelCase							=    hidden_dim
         _UpperCAmelCase							=    pooling_type
         _UpperCAmelCase							=    initializer_range
         _UpperCAmelCase							=    batch_norm_eps
         _UpperCAmelCase							=    batch_norm_momentum
         _UpperCAmelCase							=    dropout_rate
         _UpperCAmelCase							=    drop_connect_rate
         _UpperCAmelCase							=    sum(lowerCamelCase							) * 4



class 		SCREAMING_SNAKE_CASE__	(  UpperCAmelCase     ):

  '''simple docstring'''







  _lowerCamelCase    =  version.parse('''1.11'''     )


  @property
  def  lowerCamelCase       (      self		:			Optional[Any]							)						->	Mapping[str, Mapping[int, str]]:


         """simple docstring"""
         return OrderedDict(
             [
                 ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
             ]							)





  @property
  def  lowerCamelCase       (      self		:			Dict							)						->	float:


         """simple docstring"""
         return 1E-5