





"""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__		(					_UpperCAmelCase ):






  """simple docstring"""





  A_  :	str    						=  tmp_path / 'text.txt'
  A_  :	str    						=  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(_UpperCAmelCase			, 'w'			, encoding='utf-8' ) as f:
    f.write(_UpperCAmelCase )
  return str(_UpperCAmelCase )





@pytest.fixture
def 						UpperCAmelCase__		(					_UpperCAmelCase			, _UpperCAmelCase ):






  """simple docstring"""





  A_  :	List[str]    						=  tmp_path / 'text_with_image.txt'
  with open(_UpperCAmelCase			, 'w'			, encoding='utf-8' ) as f:
    f.write(_UpperCAmelCase )
  return str(_UpperCAmelCase )





@pytest.mark.parametrize('keep_linebreaks'			, [True, False] )
def 						UpperCAmelCase__		(					_UpperCAmelCase			, _UpperCAmelCase ):






  """simple docstring"""





  with open(_UpperCAmelCase			, encoding='utf-8' ) as f:
    A_  :	List[Any]    						=  f.read().splitlines(keepends=_UpperCAmelCase )
  A_  :	Union[str, Any]    						=  Text(keep_linebreaks=_UpperCAmelCase			, encoding='utf-8' )
  A_  :	int    						=  text._generate_tables([[text_file]] )
  A_  :	int    						=  pa.concat_tables([table for _, table in generator] ).to_pydict()['text']
  assert generated_content == expected_content





@require_pil
def 						UpperCAmelCase__		(					_UpperCAmelCase ):






  """simple docstring"""





  with open(_UpperCAmelCase			, encoding='utf-8' ) as f:
    A_  :	str    						=  f.read().splitlines()[0]
  A_  :	List[Any]    						=  Text(encoding='utf-8'			, features=Features({'image': Image()} ) )
  A_  :	List[str]    						=  text._generate_tables([[text_file_with_image]] )
  A_  :	int    						=  pa.concat_tables([table for _, table in generator] )
  assert pa_table.schema.field('image' ).type == Image()()
  A_  :	int    						=  pa_table.to_pydict()['image']
  assert generated_content == [{"path": image_file, "bytes": None}]





@pytest.mark.parametrize('sample_by'			, ['line', 'paragraph', 'document'] )
def 						UpperCAmelCase__		(					_UpperCAmelCase			, _UpperCAmelCase ):






  """simple docstring"""





  with open(_UpperCAmelCase			, encoding='utf-8' ) as f:
    A_  :	Dict    						=  f.read()
  if sample_by == "line":
    A_  :	Dict    						=  expected_content.splitlines()
  elif sample_by == "paragraph":
    A_  :	Union[str, Any]    						=  expected_content.split('\n\n' )
  elif sample_by == "document":
    A_  :	Tuple    						=  [expected_content]
  A_  :	str    						=  Text(sample_by=_UpperCAmelCase			, encoding='utf-8'			, chunksize=100 )
  A_  :	str    						=  text._generate_tables([[text_file]] )
  A_  :	List[Any]    						=  pa.concat_tables([table for _, table in generator] ).to_pydict()['text']
  assert generated_content == expected_content






"""simple docstring"""




import math as m





def 						UpperCAmelCase__		(					_UpperCAmelCase			, _UpperCAmelCase			, _UpperCAmelCase=0.001 ):






  """simple docstring"""





  return (f(a + h ) - f(a - h )) / (2 * h)





def 						UpperCAmelCase__		(					_UpperCAmelCase			, _UpperCAmelCase=0			, _UpperCAmelCase=100			, _UpperCAmelCase=0.0_001			, _UpperCAmelCase=1E-6			, _UpperCAmelCase=False ):






  """simple docstring"""





  A_  :	Optional[int]    						=  xa  # set the initial guess
  A_  :	Any    						=  [a]
  A_  :	str    						=  abs(f(_UpperCAmelCase ) )
  A_  :	str    						=  lambda _UpperCAmelCase : calc_derivative(_UpperCAmelCase			, _UpperCAmelCase			, h=_UpperCAmelCase )  # noqa: E731  Derivative of f(x)
  for _ in range(_UpperCAmelCase ):
    if fa(_UpperCAmelCase ) == 0:
      raise ValueError('No converging solution found' )
    A_  :	Union[str, Any]    						=  a - f(_UpperCAmelCase ) / fa(_UpperCAmelCase )  # Calculate the next estimate
    if logsteps:
      steps.append(_UpperCAmelCase )
    if error < maxerror:
      break
  else:
    raise ValueError('Iteration limit reached, no converging solution found' )
  if logsteps:
    # If logstep is true, then log intermediate steps
    return a, error, steps
  return a, error


if __name__ == "__main__":
   from matplotlib import pyplot as plt

   lowerCamelCase_					:						str      = lambda x: m.tanh(x) ** 2 - m.exp(3 * x)  # noqa: E731
   lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_					:						int      = newton_raphson(
       f, xa=10, maxiter=10_00, step=1E-6, logsteps=True
   )
   plt.plot([abs(f(x)) for x in steps])
   plt.xlabel('step')
   plt.ylabel('error')
   plt.show()
   print(F"solution = {{{solution:f}}}, error = {{{error:f}}}")