
'''simple docstring'''



UpperCamelCase__					:						Dict											=     [0.33, 0.44, 0.55, 0.44, 0.33]
UpperCamelCase__					:						Dict											=     3
UpperCamelCase__					:						Any											=     5

# Buffer Space (with Parameters Space)
UpperCamelCase__					:						list[float]											=     []
UpperCamelCase__					:						list[float]											=     []

# Machine Time
UpperCamelCase__					:						List[str]											=     0
def       lowerCAmelCase_		( SCREAMING_SNAKE_CASE_  )   ->   Tuple:




   """simple docstring"""
   global buffer_space, params_space, machine_time, K, m, t

   # Choosing Dynamical Systems (All)
   for key, value in enumerate(SCREAMING_SNAKE_CASE_  ):
      # Evolution Parameter
      _SCREAMING_SNAKE_CASE          = float(seed / value  )

      # Control Theory: Orbit Change
      _SCREAMING_SNAKE_CASE          = (buffer_space[(key + 1) % m] + e) % 1

      # Control Theory: Trajectory Change
      _SCREAMING_SNAKE_CASE          = (params_space[key] + e) % 1 + 3

      # Modification (Transition Function) - Jumps
      _SCREAMING_SNAKE_CASE          = round(float(r * value * (1 - value)  )			,					10  )
      _SCREAMING_SNAKE_CASE          = r  # Saving to Parameters Space

   # Logistic Map
   assert max(SCREAMING_SNAKE_CASE_  ) < 1
   assert max(SCREAMING_SNAKE_CASE_  ) < 4

   # Machine Time
   machine_time += 1
def       lowerCAmelCase_		( )   ->   Optional[Any]:




   """simple docstring"""
   global buffer_space, params_space, machine_time, K, m, t

   # PRNG (Xorshift by George Marsaglia)
   def xorshift(SCREAMING_SNAKE_CASE_			,					SCREAMING_SNAKE_CASE_  ):
      x ^= y >> 13
      y ^= x << 17
      x ^= y >> 5
      return x

   # Choosing Dynamical Systems (Increment)
   _SCREAMING_SNAKE_CASE          = machine_time % m

   # Evolution (Time Length)
   for _ in range(0			,					SCREAMING_SNAKE_CASE_  ):
      # Variables (Position + Parameters)
      _SCREAMING_SNAKE_CASE          = params_space[key]
      _SCREAMING_SNAKE_CASE          = buffer_space[key]

      # Modification (Transition Function) - Flow
      _SCREAMING_SNAKE_CASE          = round(float(r * value * (1 - value)  )			,					10  )
      _SCREAMING_SNAKE_CASE          = (machine_time * 0.01 + r * 1.01) % 1 + 3

   # Choosing Chaotic Data
   _SCREAMING_SNAKE_CASE          = int(buffer_space[(key + 2) % m] * (10**10)  )
   _SCREAMING_SNAKE_CASE          = int(buffer_space[(key - 2) % m] * (10**10)  )

   # Machine Time
   machine_time += 1

   return xorshift(SCREAMING_SNAKE_CASE_			,					SCREAMING_SNAKE_CASE_  ) % 0Xff_fff_fff
def       lowerCAmelCase_		( )   ->   str:




   """simple docstring"""
   global buffer_space, params_space, machine_time, K, m, t

   _SCREAMING_SNAKE_CASE          = K
   _SCREAMING_SNAKE_CASE          = [0] * m
   _SCREAMING_SNAKE_CASE          = 0


if __name__ == "__main__":
     # Initialization
     reset()

     # Pushing Data (Input)
     import random

     UpperCamelCase__					:						List[Any]											=     random.sample(range(0xffff_ffff), 100)
     for chunk in message:
          push(chunk)

     # for controlling
     UpperCamelCase__					:						Dict											=     ""

     # Pulling Data (Output)
     while inp in ("e", "E"):
          print(f"""{format(pull(), "#04x")}""")
          print(buffer_space)
          print(params_space)
          UpperCamelCase__					:						Any											=     input("(e)exit? ").strip()







from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase__   = logging.get_logger(__name__)

lowerCamelCase__   = {
    '''nghuyong/ernie-1.0-base-zh''': '''https://huggingface.co/nghuyong/ernie-1.0-base-zh/resolve/main/config.json''',
    '''nghuyong/ernie-2.0-base-en''': '''https://huggingface.co/nghuyong/ernie-2.0-base-en/resolve/main/config.json''',
    '''nghuyong/ernie-2.0-large-en''': '''https://huggingface.co/nghuyong/ernie-2.0-large-en/resolve/main/config.json''',
    '''nghuyong/ernie-3.0-base-zh''': '''https://huggingface.co/nghuyong/ernie-3.0-base-zh/resolve/main/config.json''',
    '''nghuyong/ernie-3.0-medium-zh''': '''https://huggingface.co/nghuyong/ernie-3.0-medium-zh/resolve/main/config.json''',
    '''nghuyong/ernie-3.0-mini-zh''': '''https://huggingface.co/nghuyong/ernie-3.0-mini-zh/resolve/main/config.json''',
    '''nghuyong/ernie-3.0-micro-zh''': '''https://huggingface.co/nghuyong/ernie-3.0-micro-zh/resolve/main/config.json''',
    '''nghuyong/ernie-3.0-nano-zh''': '''https://huggingface.co/nghuyong/ernie-3.0-nano-zh/resolve/main/config.json''',
    '''nghuyong/ernie-gram-zh''': '''https://huggingface.co/nghuyong/ernie-gram-zh/resolve/main/config.json''',
    '''nghuyong/ernie-health-zh''': '''https://huggingface.co/nghuyong/ernie-health-zh/resolve/main/config.json''',
}




class  _UpperCAmelCase       (			lowerCAmelCase   ):



 '''simple docstring'''




 __A           = '''ernie'''







 def __init__(						self							:					Dict				,      lowercase_							:					List[Any]=30522				,      lowercase_							:					Optional[int]=768				,      lowercase_							:					Tuple=12				,      lowercase_							:					Optional[int]=12				,      lowercase_							:					Any=3072				,      lowercase_							:					int="gelu"				,      lowercase_							:					List[Any]=0.1				,      lowercase_							:					Any=0.1				,      lowercase_							:					str=512				,      lowercase_							:					Any=2				,      lowercase_							:					Any=3				,      lowercase_							:					List[Any]=False				,      lowercase_							:					List[Any]=0.02				,      lowercase_							:					str=1e-1_2				,      lowercase_							:					int=0				,      lowercase_							:					str="absolute"				,      lowercase_							:					Dict=True				,      lowercase_							:					List[str]=None				,      **lowercase_							:					Dict				,      )		->     Union[str, Any]:


   """simple docstring"""







   super().__init__(pad_token_id=lowercase_				,      **lowercase_)

   _UpperCamelCase				=  vocab_size
   _UpperCamelCase				=  hidden_size
   _UpperCamelCase				=  num_hidden_layers
   _UpperCamelCase				=  num_attention_heads
   _UpperCamelCase				=  hidden_act
   _UpperCamelCase				=  intermediate_size
   _UpperCamelCase				=  hidden_dropout_prob
   _UpperCamelCase				=  attention_probs_dropout_prob
   _UpperCamelCase				=  max_position_embeddings
   _UpperCamelCase				=  type_vocab_size
   _UpperCamelCase				=  task_type_vocab_size
   _UpperCamelCase				=  use_task_id
   _UpperCamelCase				=  initializer_range
   _UpperCamelCase				=  layer_norm_eps
   _UpperCamelCase				=  position_embedding_type
   _UpperCamelCase				=  use_cache
   _UpperCamelCase				=  classifier_dropout




class  _UpperCAmelCase       (			lowerCAmelCase   ):



 '''simple docstring'''




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


   """simple docstring"""







   if self.task == "multiple-choice":
     _UpperCamelCase				=  {0: "batch", 1: "choice", 2: "sequence"}
   else:
     _UpperCamelCase				=  {0: "batch", 1: "sequence"}
   return OrderedDict(
       [
           ("input_ids", dynamic_axis),
           ("attention_mask", dynamic_axis),
           ("token_type_ids", dynamic_axis),
           ("task_type_ids", dynamic_axis),
       ])




