



__lowerCamelCase								=      [0.3_3, 0.4_4, 0.5_5, 0.4_4, 0.3_3]
__lowerCamelCase								=      3
__lowerCamelCase								=      5

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

# Machine Time
__lowerCamelCase								=      0







def  _snake_case			(							__snake_case     )  ->  Union[str, Any]:






      '''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
            UpperCAmelCase_	:						Union[str, Any]					   =		float(seed / value     )

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

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

            # Modification (Transition Function) - Jumps
            UpperCAmelCase_	:						Dict					   =		round(float(r * value * (1 - value)     )       ,	1_0     )
            UpperCAmelCase_	:						List[Any]					   =		r  # Saving to Parameters Space

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

      # Machine Time
      machine_time += 1







def  _snake_case			(							)  ->  Optional[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 >> 1_3
            y ^= x << 1_7
            x ^= y >> 5
            return x

      # Choosing Dynamical Systems (Increment)
      UpperCAmelCase_	:						int					   =		machine_time % m

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

            # Modification (Transition Function) - Flow
            UpperCAmelCase_	:						Union[str, Any]					   =		round(float(r * value * (1 - value)     )       ,	1_0     )
            UpperCAmelCase_	:						Optional[int]					   =		(machine_time * 0.01 + r * 1.01) % 1 + 3

      # Choosing Chaotic Data
      UpperCAmelCase_	:						List[str]					   =		int(buffer_space[(key + 2) % m] * (1_0**1_0)     )
      UpperCAmelCase_	:						str					   =		int(buffer_space[(key - 2) % m] * (1_0**1_0)     )

      # Machine Time
      machine_time += 1

      return xorshift(__snake_case       ,	__snake_case     ) % 0XFFFF_FFFF







def  _snake_case			(							)  ->  int:






      '''simple docstring'''







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

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


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

   # Pushing Data (Input)
   import random

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

   # for controlling
   __lowerCamelCase								=      ''''''

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





import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

__lowerCamelCase								=      [(1,)]







def  _snake_case			(							)  ->  str:






      '''simple docstring'''







      UpperCAmelCase_	:						Optional[Any]					   =		bool(os.getenv("RUN_SLOW"       ,	0     )     )
      if run_slow:
            assert True
      else:
            assert False, "should have been skipped"







def  _snake_case			(							)  ->  Tuple:






      '''simple docstring'''







      UpperCAmelCase_	:						Union[str, Any]					   =		bool(os.getenv("RUN_SLOW"       ,	0     )     )
      if run_slow and torch_device == "cuda":
            assert True
      else:
            assert False, "should have been skipped"


@require_torch
class 	snake_case_			(unittest.TestCase	):




       """simple docstring"""






       @slow
       @require_torch_gpu
       def 			A_ (  self):

             """simple docstring"""





             check_slow_torch_cuda()



       @require_torch_gpu
       @slow
       def 			A_ (  self):

             """simple docstring"""





             check_slow_torch_cuda()



       @parameterized.expand(lowercase)
       @slow
       def 			A_ (  self  ,lowercase=None):

             """simple docstring"""





             check_slow()







@slow
@require_torch_gpu
def  _snake_case			(							)  ->  str:






      '''simple docstring'''







      check_slow_torch_cuda()







@require_torch_gpu
@slow
def  _snake_case			(							)  ->  Union[str, Any]:






      '''simple docstring'''







      check_slow_torch_cuda()







@slow
@pytest.mark.parametrize("param"       ,	[1]     )
def  _snake_case			(							__snake_case     )  ->  Optional[Any]:






      '''simple docstring'''







      check_slow()







@pytest.mark.parametrize("param"       ,	[1]     )
@slow
def  _snake_case			(							__snake_case     )  ->  Any:






      '''simple docstring'''







      check_slow()
