code: import textwrap
  
  import pyarrow as pa
  import pytest
  
  from datasets import Features, Image
  from datasets.packaged_modules.text.text import Text
  
  from ..utils import require_pil
  @pytest.fixture
  def 		snake_case__  (		lowercase				):
     lowerCAmelCase_:       List[Any]         =  tmp_path / "text.txt"
     lowerCAmelCase_:       int         =  textwrap.dedent(
         "\\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n\n        Second paragraph:\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n        "				)
     with open(__A       ,							"w"       ,							encoding="utf-8"				) as f:
        f.write(__A				)
     return str(__A				)
  @pytest.fixture
  def 		snake_case__  (		lowercase       ,							lowercase				):
     lowerCAmelCase_:       Any         =  tmp_path / "text_with_image.txt"
     with open(__A       ,							"w"       ,							encoding="utf-8"				) as f:
        f.write(__A				)
     return str(__A				)
  @pytest.mark.parametrize("keep_linebreaks"       ,							[True, False]				)
  def 		snake_case__  (		lowercase       ,							lowercase				):
  
  
  
     with open(__A       ,							encoding="utf-8"				) as f:
        lowerCAmelCase_:       int         =  f.read().splitlines(keepends=__A				)
     lowerCAmelCase_:       List[Any]         =  Text(keep_linebreaks=__A       ,							encoding="utf-8"				)
     lowerCAmelCase_:       Optional[Any]         =  text._generate_tables([[text_file]]				)
     lowerCAmelCase_:       List[str]         =  pa.concat_tables([table for _, table in generator]				).to_pydict()["text"]
     assert generated_content == expected_content
  @require_pil
  def 		snake_case__  (		lowercase				):
  
  
  
     with open(__A       ,							encoding="utf-8"				) as f:
        lowerCAmelCase_:       Dict         =  f.read().splitlines()[0]
     lowerCAmelCase_:       List[Any]         =  Text(encoding="utf-8"       ,							features=Features({"image": Image()}				)				)
     lowerCAmelCase_:       List[str]         =  text._generate_tables([[text_file_with_image]]				)
     lowerCAmelCase_:       List[str]         =  pa.concat_tables([table for _, table in generator]				)
     assert pa_table.schema.field("image"				).type == Image()()
     lowerCAmelCase_:       Tuple         =  pa_table.to_pydict()["image"]
     assert generated_content == [{"path": image_file, "bytes": None}]
  
  
  
  
  
  
  
  @pytest.mark.parametrize("sample_by"       ,							["line", "paragraph", "document"]				)
  def 		snake_case__  (		lowercase       ,							lowercase				):
  
  
  
     with open(__A       ,							encoding="utf-8"				) as f:
        lowerCAmelCase_:       List[Any]         =  f.read()
     if sample_by == "line":
        lowerCAmelCase_:       Tuple         =  expected_content.splitlines()
     elif sample_by == "paragraph":
        lowerCAmelCase_:       Union[str, Any]         =  expected_content.split("\n\n"				)
     elif sample_by == "document":
        lowerCAmelCase_:       int         =  [expected_content]
     lowerCAmelCase_:       Optional[Any]         =  Text(sample_by=__A       ,							encoding="utf-8"       ,							chunksize=100				)
     lowerCAmelCase_:       int         =  text._generate_tables([[text_file]]				)
     lowerCAmelCase_:       Union[str, Any]         =  pa.concat_tables([table for _, table in generator]				).to_pydict()["text"]
     assert generated_content == expected_content
style_context: import random
  
  class 				_lowercase						:
  
  
  
  
  
  
      '''simple docstring'''
  
  
  
  
      def __init__(						self					,	lowerCamelCase__					,	lowerCamelCase__   ):
         lowerCAmelCase_:       int         =  x
         lowerCAmelCase_:       List[str]         =  y
  
  
  
  
      def     _a						(						self   ):
         return (self.x**2 + self.y**2) <= 1
  
  
  
  
      @classmethod
      def     _a						(						cls   ):
         return cls(x=random.random()					,	y=random.random()   )
  
  
  
  
  
  def 		snake_case__  (		lowercase				):
     if number_of_simulations < 1:
        raise ValueError("At least one simulation is necessary to estimate PI."				)
  
     lowerCAmelCase_:       List[Any]         =  0
     for _ in range(lowercase				):
        lowerCAmelCase_:       Tuple         =  Point.random_unit_square()
  
        if random_point.is_in_unit_circle():
           number_in_unit_circle += 1
  
     return 4 * number_in_unit_circle / number_of_simulations
  
  
  if __name__ == "__main__":
   # import doctest
  
   # doctest.testmod()
   from math import pi
  
   a     :			Union[str, Any]					    =						"""Please enter the desired number of Monte Carlo simulations: """
   a     :			int					    =						estimate_pi(int(input(prompt).strip()))
   print(f'''An estimate of PI is {my_pi} with an error of {abs(my_pi - pi)}''')