





"""simple docstring"""





from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding

class 		lowercase ( _UpperCAmelCase ):
      _SCREAMING_SNAKE_CASE         =				['image_processor', 'tokenizer']
      _SCREAMING_SNAKE_CASE         =				'EfficientNetImageProcessor'
      _SCREAMING_SNAKE_CASE         =				('BertTokenizer', 'BertTokenizerFast')





      def __init__(	self				,						lowercase				,						lowercase			)		->					Optional[int]:
            super().__init__(lowercase				,						lowercase			)





      def __call__(	self				,						lowercase=None				,						lowercase=None				,						lowercase="max_length"				,						lowercase=64				,						lowercase=None				,						**lowercase			)		->					Dict:
            if text is None and images is None:
                  raise ValueError("""You have to specify either text or images. Both cannot be none."""			)

            if text is not None:
                  lowerCAmelCase  						=	self.tokenizer(
                      lowercase				,						padding=lowercase				,						max_length=lowercase				,						return_tensors=lowercase				,						**lowercase			)

            if images is not None:
                  lowerCAmelCase  						=	self.image_processor(lowercase				,						return_tensors=lowercase				,						**lowercase			)

            if text is not None and images is not None:
                  lowerCAmelCase  						=	image_features.pixel_values
                  return encoding
            elif text is not None:
                  return encoding
            else:
                  return BatchEncoding(data=dict(**lowercase			)				,						tensor_type=lowercase			)





      def    _snake_case      (	self				,						*lowercase				,						**lowercase			)		->					Tuple:
            return self.tokenizer.batch_decode(*lowercase				,						**lowercase			)





      def    _snake_case      (	self				,						*lowercase				,						**lowercase			)		->					Any:
            return self.tokenizer.decode(*lowercase				,						**lowercase			)





      @property
      def    _snake_case      (	self			)		->					str:
            lowerCAmelCase  						=	self.tokenizer.model_input_names
            lowerCAmelCase  						=	self.image_processor.model_input_names
            return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names			)			)













"""simple docstring"""





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

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

# Machine Time
SCREAMING_SNAKE_CASE__ =       0


def       UpperCAmelCase__							(  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
            lowerCAmelCase  						=	float(seed / value      )

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

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

            # Modification (Transition Function) - Jumps
            lowerCAmelCase  						=	round(float(r * value * (1 - value)      )							,						10      )
            lowerCAmelCase  						=	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       UpperCAmelCase__							(  ):







      '''simple docstring'''




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

      # PRNG (Xorshift by George Marsaglia)
      def xorshift(SCREAMING_SNAKE_CASE					:						List[str]							,						SCREAMING_SNAKE_CASE					:						Tuple      ):
            x ^= y >> 13
            y ^= x << 17
            x ^= y >> 5
            return x

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

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

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

      # Choosing Chaotic Data
      lowerCAmelCase  						=	int(buffer_space[(key + 2) % m] * (10**10)      )
      lowerCAmelCase  						=	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       UpperCAmelCase__							(  ):







      '''simple docstring'''




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

      lowerCAmelCase  						=	K
      lowerCAmelCase  						=	[0] * m
      lowerCAmelCase  						=	0


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

       # Pushing Data (Input)
       import random

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

       # for controlling
       SCREAMING_SNAKE_CASE__ =       ""

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






