





"""simple docstring"""


import re
from pathlib import Path
from unittest import TestCase

import pytest



@pytest.mark.integration
class      __SCREAMING_SNAKE_CASE    (						_UpperCamelCase   ):







  '''simple docstring'''


  def    __SCREAMING_SNAKE_CASE				(		self   :       str					,   __a   :       str	)		->				Tuple:

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

        return match

  def    __SCREAMING_SNAKE_CASE				(		self   :       List[Any]					,   __a   :       str	)		->				Union[str, Any]:

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

        _UpperCamelCase      :	Tuple						=       [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   :       Union[str, Any]	)		->				List[str]:
        _UpperCamelCase      :	Dict						=       Path("./datasets"	)
        _UpperCamelCase      :	List[str]						=       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    __SCREAMING_SNAKE_CASE				(		self   :       Tuple	)		->				List[Any]:
        _UpperCamelCase      :	List[str]						=       Path("./datasets"	)
        _UpperCamelCase      :	str						=       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.'''	)







"""simple docstring"""


def 					lowercase__    (					lowercase_		,lowercase_			)					->		None:




      """simple docstring"""

      _UpperCamelCase      :	List[Any]						=       len(lowercase_			)
      print("The following activities are selected:"			)

      # The first activity is always selected
      _UpperCamelCase      :	List[Any]						=       0
      print(lowercase_		,end=","			)

      # Consider rest of the activities
      for j in range(lowercase_			):
            # If this activity has start time greater than
            # or equal to the finish time of previously
            # selected activity, then select it
            if start[j] >= finish[i]:
                  print(lowercase_		,end=","			)
                  _UpperCamelCase      :	Optional[Any]						=       j


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  lowerCamelCase__				  =   [1, 3, 0, 5, 8, 5]
  lowerCamelCase__				  =   [2, 4, 6, 7, 9, 9]
  print_max_activities(start, finish)
