





import re
from pathlib import Path
from unittest import TestCase

import pytest



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







 '''simple docstring'''

 def 				SCREAMING_SNAKE_CASE_   (self							:  Optional[Any]			,					UpperCAmelCase_							:  str)			->Tuple:



   '''simple docstring'''



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

   return match

 def 				SCREAMING_SNAKE_CASE_   (self							:  Union[str, Any]			,					UpperCAmelCase_							:  str)			->Tuple:



   '''simple docstring'''



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

   lowerCamelCase__: Dict         =[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							:  str)			->Optional[int]:



   '''simple docstring'''



   lowerCamelCase__: Union[str, Any]         =Path("./datasets")
   lowerCamelCase__: int         =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 				SCREAMING_SNAKE_CASE_   (self							:  List[Any])			->str:



   '''simple docstring'''



   lowerCamelCase__: Optional[Any]         =Path("./datasets")
   lowerCamelCase__: int         =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.""")








import numpy as np





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> np.array:




    """simple docstring"""




    return (2 / (1 + np.exp(-2 * vector				))) - 1


if __name__ == "__main__":
 import doctest

 doctest.testmod()





