


'''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_			)			)










'''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()






