code: 
  
  
  
  
  """simple docstring"""
  
  def   UpperCamelCase__     (		lowercase__  :     int       ,     lowercase__  :     int = 1000   ):
  		if (not isinstance(lowercase__       ,     lowercase__   )) or (digit_position <= 0):
  				raise ValueError("Digit position must be a positive integer"   )
  		elif (not isinstance(lowercase__       ,     lowercase__   )) or (precision < 0):
  				raise ValueError("Precision must be a nonnegative integer"   )
  
  		# compute an approximation of (16 ** (n - 1)) * pi whose fractional part is mostly
  		# accurate
  		snake_case		:						List[str]								=				(
  		    4 * _subsum(lowercase__       ,     1       ,     lowercase__   )
  		    - 2 * _subsum(lowercase__       ,     4       ,     lowercase__   )
  		    - _subsum(lowercase__       ,     5       ,     lowercase__   )
  		    - _subsum(lowercase__       ,     6       ,     lowercase__   )
  		)
  
  		# return the first hex digit of the fractional part of the result
  		return hex(int((sum_result % 1) * 16   )   )[2:]
  
  
  
  def   UpperCamelCase__     (		lowercase__  :     int       ,     lowercase__  :     int       ,     lowercase__  :     int   ):
  		snake_case		:						List[Any]								=				0.0
  		for sum_index in range(digit_pos_to_extract + precision   ):
  				snake_case		:						Optional[Any]								=				8 * sum_index + denominator_addend
  				if sum_index < digit_pos_to_extract:
  						# if the exponential term is an integer and we mod it by the denominator
  						# before dividing, only the integer part of the sum will change;
  						# the fractional part will not
  						snake_case		:						int								=				pow(
  						    16       ,     digit_pos_to_extract - 1 - sum_index       ,     lowercase__   )
  				else:
  						snake_case		:						Optional[Any]								=				pow(16       ,     digit_pos_to_extract - 1 - sum_index   )
  				total += exponential_term / denominator
  		return total
  
  
  if __name__ == "__main__":
  							import doctest
  
  							doctest.testmod()
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  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   UpperCamelCase__     (		lowercase__  :     str   ):
  		snake_case		:						List[str]								=				tmp_path / "text.txt"
  		snake_case		:						Tuple								=				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(lowercase__       ,     "w"       ,     encoding="utf-8"   ) as f:
  				f.write(lowercase__   )
  		return str(lowercase__   )
  
  
  
  @pytest.fixture
  def   UpperCamelCase__     (		lowercase__  :     str       ,     lowercase__  :     Dict   ):
  		snake_case		:						Any								=				tmp_path / "text_with_image.txt"
  		with open(lowercase__       ,     "w"       ,     encoding="utf-8"   ) as f:
  				f.write(lowercase__   )
  		return str(lowercase__   )
  
  
  
  @pytest.mark.parametrize("keep_linebreaks"       ,     [True, False]   )
  def   UpperCamelCase__     (		lowercase__  :     Union[str, Any]       ,     lowercase__  :     Tuple   ):
  		with open(lowercase__       ,     encoding="utf-8"   ) as f:
  				snake_case		:						List[Any]								=				f.read().splitlines(keepends=lowercase__   )
  		snake_case		:						List[Any]								=				Text(keep_linebreaks=lowercase__       ,     encoding="utf-8"   )
  		snake_case		:						Optional[int]								=				text._generate_tables([[text_file]]   )
  		snake_case		:						int								=				pa.concat_tables([table for _, table in generator]   ).to_pydict()["text"]
  		assert generated_content == expected_content
  
  
  
  @require_pil
  def   UpperCamelCase__     (		lowercase__  :     Optional[Any]   ):
  		with open(lowercase__       ,     encoding="utf-8"   ) as f:
  				snake_case		:						Union[str, Any]								=				f.read().splitlines()[0]
  		snake_case		:						List[Any]								=				Text(encoding="utf-8"       ,     features=Features({"image": Image()}   )   )
  		snake_case		:						Tuple								=				text._generate_tables([[text_file_with_image]]   )
  		snake_case		:						List[str]								=				pa.concat_tables([table for _, table in generator]   )
  		assert pa_table.schema.field("image"   ).type == Image()()
  		snake_case		:						Optional[Any]								=				pa_table.to_pydict()["image"]
  		assert generated_content == [{"path": image_file, "bytes": None}]
  
  
  
  @pytest.mark.parametrize("sample_by"       ,     ["line", "paragraph", "document"]   )
  def   UpperCamelCase__     (		lowercase__  :     Union[str, Any]       ,     lowercase__  :     List[str]   ):
  		with open(lowercase__       ,     encoding="utf-8"   ) as f:
  				snake_case		:						Tuple								=				f.read()
  		if sample_by == "line":
  				snake_case		:						Optional[int]								=				expected_content.splitlines()
  		elif sample_by == "paragraph":
  				snake_case		:						str								=				expected_content.split("\n\n"   )
  		elif sample_by == "document":
  				snake_case		:						List[Any]								=				[expected_content]
  		snake_case		:						str								=				Text(sample_by=lowercase__       ,     encoding="utf-8"       ,     chunksize=100   )
  		snake_case		:						Optional[int]								=				text._generate_tables([[text_file]]   )
  		snake_case		:						Optional[Any]								=				pa.concat_tables([table for _, table in generator]   ).to_pydict()["text"]
  		assert generated_content == expected_content
  
  