code: 
  
  
  '''simple docstring'''
  
  
  
  import importlib.metadata
  import sys
  
  from transformers.testing_utils import TestCasePlus
  from transformers.utils.versions import require_version, require_version_core
  
  
  A__	:      Tuple				=						importlib.metadata.version("""numpy""")
  A__	:      str				=						""".""".join([str(x) for x in sys.version_info[:3]])
  
  
  
  
  
  class      UpperCAmelCase_						(_UpperCAmelCase						):
  
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
      def    lowercase_       (							self			)       ->  int:
           # lt + different version strings
           require_version_core('numpy<1000.4.5'			)
           require_version_core('numpy<1000.4'			)
           require_version_core('numpy<1000'			)
  
           # le
           require_version_core('numpy<=1000.4.5'			)
           require_version_core(f'numpy<={numpy_ver}'			)
  
           # eq
           require_version_core(f'numpy=={numpy_ver}'			)
  
           # ne
           require_version_core('numpy!=1000.4.5'			)
  
           # ge
           require_version_core('numpy>=1.0'			)
           require_version_core('numpy>=1.0.0'			)
           require_version_core(f'numpy>={numpy_ver}'			)
  
           # gt
           require_version_core('numpy>1.0.0'			)
  
           # mix
           require_version_core('numpy>1.0.0,<1000'			)
  
           # requirement w/o version
           require_version_core('numpy'			)
  
           # unmet requirements due to version conflict
           for req in ["numpy==1.0.0", "numpy>=1000.0.0", f'numpy<{numpy_ver}']:
                try:
                     require_version_core(SCREAMING_SNAKE_CASE_			)
                except ImportError as e:
                     self.assertIn(f'{req} is required'    ,  str(SCREAMING_SNAKE_CASE_			)			)
                     self.assertIn('but found'    ,  str(SCREAMING_SNAKE_CASE_			)			)
  
          # unmet requirements due to missing module
           for req in ["numpipypie>1", "numpipypie2"]:
                try:
                     require_version_core(SCREAMING_SNAKE_CASE_			)
                except importlib.metadata.PackageNotFoundError as e:
                     self.assertIn(f'The \'{req}\' distribution was not found and is required by this application'    ,  str(SCREAMING_SNAKE_CASE_			)			)
                     self.assertIn('Try: pip install transformers -U'    ,  str(SCREAMING_SNAKE_CASE_			)			)
  
          # bogus requirements formats:
          # 1. whole thing
           for req in ["numpy??1.0.0", "numpy1.0.0"]:
                try:
                     require_version_core(SCREAMING_SNAKE_CASE_			)
                except ValueError as e:
                     self.assertIn('requirement needs to be in the pip package format'    ,  str(SCREAMING_SNAKE_CASE_			)			)
          # 2. only operators
           for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
                try:
                     require_version_core(SCREAMING_SNAKE_CASE_			)
                except ValueError as e:
                     self.assertIn('need one of '    ,  str(SCREAMING_SNAKE_CASE_			)			)
  
  
  
  
  
  
  
      def    lowercase_       (							self			)       ->  Union[str, Any]:
           # matching requirement
           require_version('python>=3.6.0'			)
  
           # not matching requirements
           for req in ["python>9.9.9", "python<3.0.0"]:
                try:
                     require_version_core(SCREAMING_SNAKE_CASE_			)
                except ImportError as e:
                     self.assertIn(f'{req} is required'    ,  str(SCREAMING_SNAKE_CASE_			)			)
                     self.assertIn(f'but found python=={python_ver}'    ,  str(SCREAMING_SNAKE_CASE_			)			)
  
  
  
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  
  
  A__	:      List[Any]				=						[0.3_3, 0.4_4, 0.5_5, 0.4_4, 0.3_3]
  A__	:      Dict				=						3
  A__	:      Union[str, Any]				=						5
  
  # Buffer Space (with Parameters Space)
  A__	:      list[float]				=						[]
  A__	:      list[float]				=						[]
  
  # Machine Time
  A__	:      Dict				=						0
  
  
  
  def     UpperCAmelCase__      (			UpperCAmelCase_					:       List[str]							)  ->	str:
       global buffer_space, params_space, machine_time, K, m, t
  
       # Choosing Dynamical Systems (All)
       for key, value in enumerate(UpperCAmelCase_							):
            # Evolution Parameter
            __lowerCamelCase     :			List[str]              =	float(seed / value							)
  
            # Control Theory: Orbit Change
            __lowerCamelCase     :			Optional[int]              =	(buffer_space[(key + 1) % m] + e) % 1
  
            # Control Theory: Trajectory Change
            __lowerCamelCase     :			str              =	(params_space[key] + e) % 1 + 3
  
            # Modification (Transition Function) - Jumps
            __lowerCamelCase     :			List[Any]              =	round(float(r * value * (1 - value)							)   ,					10							)
            __lowerCamelCase     :			Tuple              =	r  # Saving to Parameters Space
  
       # Logistic Map
       assert max(UpperCAmelCase_							) < 1
       assert max(UpperCAmelCase_							) < 4
  
       # Machine Time
       machine_time += 1
  
  
  
  def     UpperCAmelCase__      (			)  ->	Optional[int]:
       global buffer_space, params_space, machine_time, K, m, t
  
       # PRNG (Xorshift by George Marsaglia)
       def xorshift(UpperCAmelCase_					:       Any   ,					UpperCAmelCase_					:       Tuple							):
            x ^= y >> 13
            y ^= x << 17
            x ^= y >> 5
            return x
  
       # Choosing Dynamical Systems (Increment)
       __lowerCamelCase     :			List[Any]              =	machine_time % m
  
       # Evolution (Time Length)
       for _ in range(0   ,					UpperCAmelCase_							):
            # Variables (Position + Parameters)
            __lowerCamelCase     :			Union[str, Any]              =	params_space[key]
            __lowerCamelCase     :			Optional[Any]              =	buffer_space[key]
  
            # Modification (Transition Function) - Flow
            __lowerCamelCase     :			str              =	round(float(r * value * (1 - value)							)   ,					10							)
            __lowerCamelCase     :			Dict              =	(machine_time * 0.01 + r * 1.01) % 1 + 3
  
       # Choosing Chaotic Data
       __lowerCamelCase     :			List[Any]              =	int(buffer_space[(key + 2) % m] * (10**10)							)
       __lowerCamelCase     :			List[str]              =	int(buffer_space[(key - 2) % m] * (10**10)							)
  
       # Machine Time
       machine_time += 1
  
       return xorshift(UpperCAmelCase_   ,					UpperCAmelCase_							) % 0xff_ff_ff_ff
  
  
  
  def     UpperCAmelCase__      (			)  ->	Any:
       global buffer_space, params_space, machine_time, K, m, t
  
       __lowerCamelCase     :			Union[str, Any]              =	K
       __lowerCamelCase     :			Optional[int]              =	[0] * m
       __lowerCamelCase     :			Tuple              =	0
  
  
  if __name__ == "__main__":
        # Initialization
        reset()
  
        # Pushing Data (Input)
        import random
  
        A__	:      Optional[Any]				=						random.sample(range(0XFFFFFFFF), 100)
        for chunk in message:
              push(chunk)
  
        # for controlling
        A__	:      Tuple				=						""""""
  
        # Pulling Data (Output)
        while inp in ("e", "E"):
              print(f'''{format(pull(), '#04x')}''')
              print(buffer_space)
              print(params_space)
              A__	:      Optional[Any]				=						input("""(e)exit? """).strip()
  
  
  
  
  
  
  