
'''simple docstring'''






import re
from pathlib import Path
from unittest import TestCase

import pytest






@pytest.mark.integration
class     lowercase_			(lowerCamelCase__   ):




  """simple docstring"""




  def       SCREAMING_SNAKE_CASE   (   self     :  List[str]      ,lowercase__     :  str    ):

   with open(lowercase__      ,encoding='''utf-8'''    ) as input_file:
    __lowercase													=				re.compile(r'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'''    )
    __lowercase													=				input_file.read()
    __lowercase													=				regexp.search(lowercase__    )

   return match






  def       SCREAMING_SNAKE_CASE   (   self     :  Optional[Any]      ,lowercase__     :  str    ):

   with open(lowercase__      ,encoding='''utf-8'''    ) as input_file:
    __lowercase													=				re.compile(r'''#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()'''      ,re.DOTALL    )
    __lowercase													=				input_file.read()
    # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
    __lowercase													=				regexp.finditer(lowercase__    )

   __lowercase													=				[match for match in matches if match is not None and match.group(1    ) is not None]
   return matches[0] if matches else None






  def       SCREAMING_SNAKE_CASE   (   self     :  str    ):
   __lowercase													=				Path('''./datasets'''    )
   __lowercase													=				list(dataset_paths.absolute().glob('''**/*.py'''    )    )

   for dataset in dataset_files:
    if self._no_encoding_on_file_open(str(lowercase__    )    ):
     raise AssertionError(F"open(...) must use utf-8 encoding in {dataset}"    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Optional[Any]    ):
   __lowercase													=				Path('''./datasets'''    )
   __lowercase													=				list(dataset_paths.absolute().glob('''**/*.py'''    )    )

   for dataset in dataset_files:
    if self._no_print_statements(str(lowercase__    )    ):
     raise AssertionError(F"print statement found in {dataset}. Use datasets.logger/logging instead."    )




'''simple docstring'''






def 	_A  (					):






 """simple docstring"""



 for n in range(1  ,       1000000   ):
  yield n * (n + 1) // 2


def 	_A  (					A__   ):






 """simple docstring"""



 __lowercase													=				1
 __lowercase													=				2
 while i * i <= n:
  __lowercase													=				0
  while n % i == 0:
   n //= i
   multiplicity += 1
  divisors_count *= multiplicity + 1
  i += 1
 if n > 1:
  divisors_count *= 2
 return divisors_count


def 	_A  (					):






 """simple docstring"""



 return next(i for i in triangle_number_generator() if count_divisors(A__   ) > 500   )


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

