



"""simple docstring"""







UpperCAmelCase:  str			     =				[0.33, 0.44, 0.55, 0.44, 0.33]
UpperCAmelCase:  Optional[Any]			     =				3
UpperCAmelCase:  List[str]			     =				5

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

# Machine Time
UpperCAmelCase:  Tuple			     =				0


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase      ):
		global buffer_space, params_space, machine_time, K, m, t

		# Choosing Dynamical Systems (All)
		for key, value in enumerate(__UpperCAmelCase      ):
				# Evolution Parameter
				_lowercase				: List[Any]     =   float(seed / value      )

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

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

				# Modification (Transition Function) - Jumps
				_lowercase				: Union[str, Any]     =   round(float(r * value * (1 - value)      )   ,				10      )
				_lowercase				: List[Any]     =   r  # Saving to Parameters Space

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

		# Machine Time
		machine_time += 1


def  __SCREAMING_SNAKE_CASE (  ):
		global buffer_space, params_space, machine_time, K, m, t

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

		# Choosing Dynamical Systems (Increment)
		_lowercase				: Optional[Any]     =   machine_time % m

		# Evolution (Time Length)
		for _ in range(0   ,				__UpperCAmelCase      ):
				# Variables (Position + Parameters)
				_lowercase				: str     =   params_space[key]
				_lowercase				: Optional[int]     =   buffer_space[key]

				# Modification (Transition Function) - Flow
				_lowercase				: Optional[Any]     =   round(float(r * value * (1 - value)      )   ,				10      )
				_lowercase				: Optional[Any]     =   (machine_time * 0.0_1 + r * 1.0_1) % 1 + 3

		# Choosing Chaotic Data
		_lowercase				: List[Any]     =   int(buffer_space[(key + 2) % m] * (10**10)      )
		_lowercase				: List[Any]     =   int(buffer_space[(key - 2) % m] * (10**10)      )

		# Machine Time
		machine_time += 1

		return xorshift(__UpperCAmelCase   ,				__UpperCAmelCase      ) % 0xff_fff_fff


def  __SCREAMING_SNAKE_CASE (  ):
		global buffer_space, params_space, machine_time, K, m, t

		_lowercase				: int     =   K
		_lowercase				: Optional[Any]     =   [0] * m
		_lowercase				: List[str]     =   0


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

		# Pushing Data (Input)
		import random

		UpperCAmelCase:  Any			     =				random.sample(range(0xff_ff_ff_ff), 100)
		for chunk in message:
				push(chunk)

		# for controlling
		UpperCAmelCase:  Any			     =				""""""

		# Pulling Data (Output)
		while inp in ("e", "E"):
				print(F'{format(pull(), "#04x")}')
				print(buffer_space)
				print(params_space)
				UpperCAmelCase:  List[Any]			     =				input("""(e)exit? """).strip()











"""simple docstring"""


from typing import List, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase_								=	logging.get_logger(__name__)

lowercase_								=	{
    'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/config.json',
    # See all LED models at https://huggingface.co/models?filter=led
}


class    snake_case						(				_lowerCAmelCase		):


   '''simple docstring'''

   A_		:      Optional[int]							=					"led"
   A_		:      Any							=					{
       "num_attention_heads": "encoder_attention_heads",
       "hidden_size": "d_model",
       "attention_probs_dropout_prob": "attention_dropout",
       "initializer_range": "init_std",
   }


   def __init__(      self					:	Dict,			_lowerCamelCase					:	str=5_02_65,			_lowerCamelCase					:	List[Any]=1_63_84,			_lowerCamelCase					:	int=10_24,			_lowerCamelCase					:	List[Any]=12,			_lowerCamelCase					:	int=40_96,			_lowerCamelCase					:	str=16,			_lowerCamelCase					:	Dict=12,			_lowerCamelCase					:	Optional[int]=40_96,			_lowerCamelCase					:	Any=16,			_lowerCamelCase					:	int=0.0,			_lowerCamelCase					:	str=0.0,			_lowerCamelCase					:	str=True,			_lowerCamelCase					:	str=True,			_lowerCamelCase					:	Tuple="gelu",			_lowerCamelCase					:	Tuple=10_24,			_lowerCamelCase					:	Dict=0.1,			_lowerCamelCase					:	Tuple=0.0,			_lowerCamelCase					:	Union[str, Any]=0.0,			_lowerCamelCase					:	Optional[int]=0.02,			_lowerCamelCase					:	List[str]=2,			_lowerCamelCase					:	Dict=0.0,			_lowerCamelCase					:	Dict=1,			_lowerCamelCase					:	str=0,			_lowerCamelCase					:	Union[str, Any]=2,			_lowerCamelCase					:	Union[List[int], int] = 5_12,			**_lowerCamelCase					:	Any,			):

     '''simple docstring'''
     __A		     =					vocab_size
     __A		     =					max_encoder_position_embeddings
     __A		     =					max_decoder_position_embeddings
     __A		     =					d_model
     __A		     =					encoder_ffn_dim
     __A		     =					encoder_layers
     __A		     =					encoder_attention_heads
     __A		     =					decoder_ffn_dim
     __A		     =					decoder_layers
     __A		     =					decoder_attention_heads
     __A		     =					dropout
     __A		     =					attention_dropout
     __A		     =					activation_dropout
     __A		     =					activation_function
     __A		     =					init_std
     __A		     =					encoder_layerdrop
     __A		     =					decoder_layerdrop
     __A		     =					classifier_dropout
     __A		     =					use_cache
     __A		     =					encoder_layers
     __A		     =					attention_window

     super().__init__(
         pad_token_id=_lowerCamelCase,			bos_token_id=_lowerCamelCase,			eos_token_id=_lowerCamelCase,			is_encoder_decoder=_lowerCamelCase,			decoder_start_token_id=_lowerCamelCase,			**_lowerCamelCase,			)




