





import re
from pathlib import Path
from unittest import TestCase

import pytest

@pytest.mark.integration
class 		SCREAMING_SNAKE_CASE__    (	a__  ):


						def        a			(self	:				Dict    ,      a__	:				List[Any]				):





									"""simple docstring"""



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

									return match


						def        a			(self	:				List[Any]    ,      a__	:				List[Any]				):





									"""simple docstring"""



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

									__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        a			(self	:				List[Any]				):





									"""simple docstring"""



									__snake_case								=       Path('''./datasets'''				)
									__snake_case								=       list(dataset_paths.absolute().glob('''**/*.py'''				)				)

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


						def        a			(self	:				str				):





									"""simple docstring"""



									__snake_case								=       Path('''./datasets'''				)
									__snake_case								=       list(dataset_paths.absolute().glob('''**/*.py'''				)				)

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








from pathlib import Path

import fire






def lowerCamelCase__   (							snake_case_     :  str	,				snake_case_     :  str	,				snake_case_     :  int	)				->    str:
   __snake_case								=       Path(snake_case_	)
   __snake_case								=       Path(snake_case_	)
   dest_dir.mkdir(exist_ok=snake_case_	)
   for path in src_dir.iterdir():
      __snake_case								=       [x.rstrip() for x in list(path.open().readlines()	)][:n]
      __snake_case								=       dest_dir.joinpath(path.name	)
      print(snake_case_	)
      dest_path.open('''w'''	).write('''\n'''.join(snake_case_	)	)


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

