




from functools import lru_cache

def     _SCREAMING_SNAKE_CASE    (							lowercase			: int  ):


      '''simple docstring'''



      lowerCamelCase_	  =					2
      lowerCamelCase_	  =					set()
      while i * i <= n:
            if n % i:
                  i += 1
            else:
                  n //= i
                  factors.add(lowercase  )
      if n > 1:
            factors.add(lowercase  )
      return factors

@lru_cache
def     _SCREAMING_SNAKE_CASE    (							lowercase			: int  ):


      '''simple docstring'''



      return len(unique_prime_factors(lowercase  )  )

def     _SCREAMING_SNAKE_CASE    (							lowercase			: list  ):


      '''simple docstring'''



      return len(set(lowercase  )  ) in (0, 1)

def     _SCREAMING_SNAKE_CASE    (							lowercase			: int  ):


      '''simple docstring'''



      lowerCamelCase_	  =					2

      while True:
            # Increment each value of a generated range
            lowerCamelCase_	  =					[base + i for i in range(lowercase  )]

            # Run elements through out unique_prime_factors function
            # Append our target number to the end.
            lowerCamelCase_	  =					[upf_len(lowercase  ) for x in group]
            checker.append(lowercase  )

            # If all numbers in the list are equal, return the group variable.
            if equality(lowercase  ):
                  return group

            # Increment our base variable by 1
            base += 1

def     _SCREAMING_SNAKE_CASE    (							lowercase			: int = 4  ):


      '''simple docstring'''



      lowerCamelCase_	  =					run(lowercase  )
      return results[0] if len(lowercase  ) else None


if __name__ == "__main__":
 print(solution())









from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate







@dataclass(frozen=UpperCamelCase     )
class 						A(		UpperCamelCase     ):



 '''simple docstring'''


 UpperCamelCase		     =		field(default='''language-modeling'''							,   metadata={'''include_in_asdict_even_if_is_default''': True}     )

 UpperCamelCase		     =		Features({'''text''': Value('''string'''     )}     )
 UpperCamelCase		     =		Features({}     )
 UpperCamelCase		     =		"text"

 @property
 def        a__				(       self      :						List[Any]						)     ->			Dict[str, str]:

       """simple docstring"""






       return {self.text_column: "text"}



