





"""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 :							List[Any]       , __a :							str						)		->					Any:

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

        return match

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

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

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


import random
from typing import Any




def        lowercase__     (       lowercase_      )       ->		list[Any]:




      """simple docstring"""

      for _ in range(len(lowercase_      )      ):
            _UpperCamelCase   :						Dict    =							random.randint(0		,len(lowercase_      ) - 1      )
            _UpperCamelCase   :						str    =							random.randint(0		,len(lowercase_      ) - 1      )
            _UpperCamelCase,	_UpperCamelCase   :						Optional[Any]    =							data[b], data[a]
      return data


if __name__ == "__main__":
  lowerCamelCase__						= [0, 1, 2, 3, 4, 5, 6, 7]
  lowerCamelCase__						= ["python", "says", "hello", "!"]
  print("Fisher-Yates Shuffle:")
  print("List", integers, strings)
  print("FY Shuffle", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))
