


from typing import Mapping

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


UpperCAmelCase__     			=							logging.get_logger(__name__)







class    lowerCamelCase__     ( lowerCAmelCase):
     SCREAMING_SNAKE_CASE__       =    '''mt5'''
     SCREAMING_SNAKE_CASE__       =    ['''past_key_values''']





     def __init__(self	,  UpperCAmelCase=2_5_0_1_1_2	,  UpperCAmelCase=5_1_2	,  UpperCAmelCase=6_4	,  UpperCAmelCase=1_0_2_4	,  UpperCAmelCase=8	,  UpperCAmelCase=None	,  UpperCAmelCase=6	,  UpperCAmelCase=3_2	,  UpperCAmelCase=1_2_8	,  UpperCAmelCase=0.1	,  UpperCAmelCase=1e-6	,  UpperCAmelCase=1.0	,  UpperCAmelCase="gated-gelu"	,  UpperCAmelCase=True	,  UpperCAmelCase=True	,  UpperCAmelCase="T5Tokenizer"	,  UpperCAmelCase=False	,  UpperCAmelCase=0	,  UpperCAmelCase=1	,  UpperCAmelCase=0	,  **UpperCAmelCase	,  )  ->     List[str]:
      super().__init__(
          is_encoder_decoder=UpperCAmelCase	,  tokenizer_class=UpperCAmelCase	,  tie_word_embeddings=UpperCAmelCase	,  pad_token_id=UpperCAmelCase	,  eos_token_id=UpperCAmelCase	,  decoder_start_token_id=UpperCAmelCase	,  **UpperCAmelCase	,  )
      _lowercase							   =vocab_size
      _lowercase							   =d_model
      _lowercase							   =d_kv
      _lowercase							   =d_ff
      _lowercase							   =num_layers
      _lowercase							   =(
          num_decoder_layers if num_decoder_layers is not None else self.num_layers
      )  # default = symmetry
      _lowercase							   =num_heads
      _lowercase							   =relative_attention_num_buckets
      _lowercase							   =relative_attention_max_distance
      _lowercase							   =dropout_rate
      _lowercase							   =layer_norm_epsilon
      _lowercase							   =initializer_factor
      _lowercase							   =feed_forward_proj
      _lowercase							   =use_cache

      _lowercase							   =self.feed_forward_proj.split('''-''' )
      _lowercase							   =act_info[-1]
      _lowercase							   =act_info[0] == '''gated'''

      if len(UpperCAmelCase ) > 1 and act_info[0] != "gated" or len(UpperCAmelCase ) > 2:
       raise ValueError(
           f"`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."
           '''Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '''
           '''\'gated-gelu\' or \'relu\'''' )

      # for backwards compatibility
      if feed_forward_proj == "gated-gelu":
       _lowercase							   ='''gelu_new'''





     @property
     def   __A      (self )  ->     List[str]:
      return self.d_model





     @property
     def   __A      (self )  ->     List[Any]:
      return self.num_heads





     @property
     def   __A      (self )  ->     int:
      return self.num_layers







class    lowerCamelCase__     ( lowerCAmelCase):





     @property
     # Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.inputs
     def   __A      (self )  ->     Mapping[str, Mapping[int, str]]:
      _lowercase							   ={
          '''input_ids''': {0: '''batch''', 1: '''encoder_sequence'''},
          '''attention_mask''': {0: '''batch''', 1: '''encoder_sequence'''},
      }
      if self.use_past:
       _lowercase							   ='''past_encoder_sequence + sequence'''
       _lowercase							   ={0: '''batch'''}
       _lowercase							   ={0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
      else:
       _lowercase							   ={0: '''batch''', 1: '''decoder_sequence'''}
       _lowercase							   ={0: '''batch''', 1: '''decoder_sequence'''}

      if self.use_past:
       self.fill_with_past_key_values_(UpperCAmelCase	,  direction='''inputs''' )

      return common_inputs





     @property
     # Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.default_onnx_opset
     def   __A      (self )  ->     int:
      return 1_3





     @property
     def   __A      (self )  ->     float:
      return 5e-4










UpperCAmelCase__     			=							[0.33, 0.44, 0.55, 0.44, 0.33]
UpperCAmelCase__     			=							3
UpperCAmelCase__     			=							5

# Buffer Space (with Parameters Space)
UpperCAmelCase__     			=							[]
UpperCAmelCase__     			=							[]

# Machine Time
UpperCAmelCase__     			=							0
def        UpperCAmelCase_      (							__snake_case		)  ->    Tuple:







 """simple docstring"""


 global buffer_space, params_space, machine_time, K, m, t

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

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

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

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

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

 # Machine Time
 machine_time += 1
def        UpperCAmelCase_      (							)  ->    Union[str, Any]:







 """simple docstring"""


 global buffer_space, params_space, machine_time, K, m, t

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

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

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

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

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

 # Machine Time
 machine_time += 1

 return xorshift(__snake_case  ,		__snake_case		) % 0XF_F_F_F_F_F_F_F
def        UpperCAmelCase_      (							)  ->    int:







 """simple docstring"""


 global buffer_space, params_space, machine_time, K, m, t

 _lowercase							   =K
 _lowercase							   =[0] * m
 _lowercase							   =0


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

  # Pushing Data (Input)
  import random

  UpperCAmelCase__     			=							random.sample(range(0xffff_ffff), 100)
  for chunk in message:
    push(chunk)

  # for controlling
  UpperCAmelCase__     			=							''''''

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

