
'''simple docstring'''






import re
from pathlib import Path
from unittest import TestCase

import pytest

@pytest.mark.integration
class 			UpperCAmelCase__    (							A			):



    def 	lowerCamelCase_	(						self   :							Optional[int],__A   :							str  ):

          with open(__A,encoding="utf-8"  ) as input_file:
                _lowerCamelCase					: List[str]		    = re.compile(r"(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"  )
                _lowerCamelCase					: List[str]		    = input_file.read()
                _lowerCamelCase					: Union[str, Any]		    = regexp.search(__A  )

          return match



    def 	lowerCamelCase_	(						self   :							List[str],__A   :							str  ):

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

          _lowerCamelCase					: Optional[Any]		    = [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 	lowerCamelCase_	(						self   :							Tuple  ):
          _lowerCamelCase					: str		    = Path("./datasets"  )
          _lowerCamelCase					: Optional[Any]		    = list(dataset_paths.absolute().glob("**/*.py"  )  )

          for dataset in dataset_files:
                if self._no_encoding_on_file_open(str(__A  )  ):
                      raise AssertionError(f'open(...) must use utf-8 encoding in {dataset}'  )



    def 	lowerCamelCase_	(						self   :							List[Any]  ):
          _lowerCamelCase					: Any		    = Path("./datasets"  )
          _lowerCamelCase					: Union[str, Any]		    = list(dataset_paths.absolute().glob("**/*.py"  )  )

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







from pathlib import Path

import fire
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase       ,							_UpperCamelCase) ->			Optional[int]:
      """simple docstring"""

      UpperCamelCase					       =  Path(_UpperCamelCase)
      UpperCamelCase					       =  Path(_UpperCamelCase)
      dest_dir.mkdir(exist_ok=_UpperCamelCase)
      for path in src_dir.iterdir():
            UpperCamelCase					       =  [x.rstrip() for x in list(path.open().readlines())][:n]
            UpperCamelCase					       =  dest_dir.joinpath(path.name)
            print(_UpperCamelCase)
            dest_path.open('w').write('\n'.join(_UpperCamelCase))


if __name__ == "__main__":
       fire.Fire(minify)



