


"""simple docstring"""







import re
from pathlib import Path
from unittest import TestCase

import pytest




@pytest.mark.integration
class  UpperCamelCase_	( UpperCamelCase):

	"""simple docstring"""





	def   UpperCAmelCase_      ( self			:				Optional[Any]			,			UpperCAmelCase__			:				str   )       ->	Optional[int]:

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

						return match




	def   UpperCAmelCase_      ( self			:				int			,			UpperCAmelCase__			:				str   )       ->	Union[str, Any]:

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

						__SCREAMING_SNAKE_CASE						   =				[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   UpperCAmelCase_      ( self			:				Dict   )       ->	Dict:
						__SCREAMING_SNAKE_CASE						   =				Path("./datasets"   )
						__SCREAMING_SNAKE_CASE						   =				list(dataset_paths.absolute().glob("**/*.py"   )   )

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




	def   UpperCAmelCase_      ( self			:				str   )       ->	int:
						__SCREAMING_SNAKE_CASE						   =				Path("./datasets"   )
						__SCREAMING_SNAKE_CASE						   =				list(dataset_paths.absolute().glob("**/*.py"   )   )

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

"""simple docstring"""




def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       int = 50	)       ->      int:
  _lowerCAmelCase						:       int  			=     [1] * (length + 1)

  for row_length in range(3			,length + 1	):
    for block_length in range(3			,row_length + 1	):
      for block_start in range(row_length - block_length	):
        ways_number[row_length] += ways_number[
            row_length - block_start - block_length - 1
        ]

      ways_number[row_length] += 1

  return ways_number[length]


if __name__ == "__main__":
     print(F"""{solution() = }""")




