





import numpy as np
import skfuzzy as fuzz

if __name__ == "__main__":
     # Create universe of discourse in Python using linspace ()
     __lowercase  :   Dict						      =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).
     __lowercase  :   str						      =[0, 25, 50]
     __lowercase  :   int						      =[25, 50, 75]
     __lowercase  :   int						      =fuzz.membership.trimf(X, abca)
     __lowercase  :   str						      =fuzz.membership.trimf(X, abca)

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


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

__lowercase  :   List[Any]						      ={
    """tanreinama/GPTSAN-2.8B-spout_is_uniform""": (
        """https://huggingface.co/tanreinama/GPTSAN-2.8B-spout_is_uniform/resolve/main/config.json"""
    ),
}

class      A       (	__lowercase						):
      _snake_case							     ='''gptsan-japanese'''
      _snake_case							     =[
          '''past_key_values''',
      ]
      _snake_case							     ={
          '''hidden_size''': '''d_model''',
          '''num_attention_heads''': '''num_heads''',
          '''num_hidden_layers''': '''num_layers''',
      }



      def __init__(	self:						Optional[Any]		,  _lowerCAmelCase:						List[Any]=3_6000		,  _lowerCAmelCase:						List[Any]=1280		,  _lowerCAmelCase:						str=1024		,  _lowerCAmelCase:						Any=8192		,  _lowerCAmelCase:						str=4096		,  _lowerCAmelCase:						int=128		,  _lowerCAmelCase:						int=10		,  _lowerCAmelCase:						Dict=0		,  _lowerCAmelCase:						Any=16		,  _lowerCAmelCase:						Optional[int]=16		,  _lowerCAmelCase:						List[Any]=128		,  _lowerCAmelCase:						Tuple=0.0		,  _lowerCAmelCase:						Optional[Any]=1e-5		,  _lowerCAmelCase:						int=False		,  _lowerCAmelCase:						Optional[Any]=0.0		,  _lowerCAmelCase:						str="float32"		,  _lowerCAmelCase:						Dict=False		,  _lowerCAmelCase:						Any=False		,  _lowerCAmelCase:						int=False		,  _lowerCAmelCase:						Union[str, Any]=0.0_02		,  _lowerCAmelCase:						Optional[int]=False		,  _lowerCAmelCase:						int=True		,  _lowerCAmelCase:						List[str]=3_5998		,  _lowerCAmelCase:						Optional[int]=3_5995		,  _lowerCAmelCase:						Dict=3_5999		,  **_lowerCAmelCase:						Optional[Any]		,  )						->    List[Any]:
         '''simple docstring'''

         UpperCAmelCase_											=vocab_size
         UpperCAmelCase_											=max_position_embeddings
         UpperCAmelCase_											=d_model
         UpperCAmelCase_											=d_ff
         UpperCAmelCase_											=d_ext
         UpperCAmelCase_											=d_spout
         UpperCAmelCase_											=num_switch_layers
         UpperCAmelCase_											=num_ext_layers
         UpperCAmelCase_											=num_switch_layers + num_ext_layers
         UpperCAmelCase_											=num_heads
         UpperCAmelCase_											=num_experts
         UpperCAmelCase_											=expert_capacity
         UpperCAmelCase_											=dropout_rate
         UpperCAmelCase_											=layer_norm_epsilon
         UpperCAmelCase_											=router_bias
         UpperCAmelCase_											=router_jitter_noise
         UpperCAmelCase_											=router_dtype
         UpperCAmelCase_											=router_ignore_padding_tokens
         UpperCAmelCase_											=output_hidden_states
         UpperCAmelCase_											=output_attentions
         UpperCAmelCase_											=initializer_factor
         UpperCAmelCase_											=output_router_logits
         UpperCAmelCase_											=use_cache

         super().__init__(
             separator_token_id=_lowerCAmelCase		,  pad_token_id=_lowerCAmelCase		,  eos_token_id=_lowerCAmelCase		,  **_lowerCAmelCase		,  )




