



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 						a__     (						_UpperCamelCase     :	Union[str, Any]							):
   __lowerCamelCase  							=      tmp_path / '''text.txt'''
   __lowerCamelCase  							=      textwrap.dedent(
       '''\
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

        Second paragraph:
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
        '''							)
   with open(_UpperCamelCase	,'''w'''	,encoding='''utf-8'''							) as f:
      f.write(_UpperCamelCase							)
   return str(_UpperCamelCase							)





@pytest.fixture
def 						a__     (						_UpperCamelCase     :	Tuple	,_UpperCamelCase     :	Optional[Any]							):
   __lowerCamelCase  							=      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 						a__     (						_UpperCamelCase     :	Optional[Any]	,_UpperCamelCase     :	Optional[int]							):
   with open(_UpperCamelCase	,encoding='''utf-8'''							) as f:
      __lowerCamelCase  							=      f.read().splitlines(keepends=_UpperCamelCase							)
   __lowerCamelCase  							=      Text(keep_linebreaks=_UpperCamelCase	,encoding='''utf-8'''							)
   __lowerCamelCase  							=      text._generate_tables([[text_file]]							)
   __lowerCamelCase  							=      pa.concat_tables([table for _, table in generator]							).to_pydict()['''text''']
   assert generated_content == expected_content





@require_pil
def 						a__     (						_UpperCamelCase     :	Dict							):
   with open(_UpperCamelCase	,encoding='''utf-8'''							) as f:
      __lowerCamelCase  							=      f.read().splitlines()[0]
   __lowerCamelCase  							=      Text(encoding='''utf-8'''	,features=Features({'''image''': Image()}							)							)
   __lowerCamelCase  							=      text._generate_tables([[text_file_with_image]]							)
   __lowerCamelCase  							=      pa.concat_tables([table for _, table in generator]							)
   assert pa_table.schema.field('''image'''							).type == Image()()
   __lowerCamelCase  							=      pa_table.to_pydict()['''image''']
   assert generated_content == [{"path": image_file, "bytes": None}]





@pytest.mark.parametrize('''sample_by'''	,['''line''', '''paragraph''', '''document''']							)
def 						a__     (						_UpperCamelCase     :	Optional[int]	,_UpperCamelCase     :	Tuple							):
   with open(_UpperCamelCase	,encoding='''utf-8'''							) as f:
      __lowerCamelCase  							=      f.read()
   if sample_by == "line":
      __lowerCamelCase  							=      expected_content.splitlines()
   elif sample_by == "paragraph":
      __lowerCamelCase  							=      expected_content.split('''\n\n'''							)
   elif sample_by == "document":
      __lowerCamelCase  							=      [expected_content]
   __lowerCamelCase  							=      Text(sample_by=_UpperCamelCase	,encoding='''utf-8'''	,chunksize=1_00							)
   __lowerCamelCase  							=      text._generate_tables([[text_file]]							)
   __lowerCamelCase  							=      pa.concat_tables([table for _, table in generator]							).to_pydict()['''text''']
   assert generated_content == expected_content











import math



class 	__lowerCAmelCase       :




 def __init__(  self		,			__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase			):



    '''simple docstring'''
    __lowerCamelCase  							=      x
    __lowerCamelCase  							=      y
    __lowerCamelCase  							=      step_size
    __lowerCamelCase  							=      function_to_optimize




 def     lowerCamelCase (  self			):



    '''simple docstring'''
    return self.function(self.x		,			self.y			)




 def     lowerCamelCase (  self			):



    '''simple docstring'''
    __lowerCamelCase  							=      self.step_size
    return [
        SearchProblem(__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase		,			self.function			)
        for x, y in (
            (self.x - step_size, self.y - step_size),
            (self.x - step_size, self.y),
            (self.x - step_size, self.y + step_size),
            (self.x, self.y - step_size),
            (self.x, self.y + step_size),
            (self.x + step_size, self.y - step_size),
            (self.x + step_size, self.y),
            (self.x + step_size, self.y + step_size),
        )
    ]




 def __hash__(  self			):



    '''simple docstring'''
    return hash(str(self			)			)




 def __eq__(  self		,			__UpperCAmelCase			):



    '''simple docstring'''
    if isinstance(__UpperCAmelCase		,			__UpperCAmelCase			):
       return hash(str(self			)			) == hash(str(__UpperCAmelCase			)			)
    return False




 def __str__(  self			):



    '''simple docstring'''
    return F"""x: {self.x} y: {self.y}"""





def 						a__     (						_UpperCamelCase     :	Tuple	,_UpperCamelCase     :	bool = True	,_UpperCamelCase     :	float = math.inf	,_UpperCamelCase     :	float = -math.inf	,_UpperCamelCase     :	float = math.inf	,_UpperCamelCase     :	float = -math.inf	,_UpperCamelCase     :	bool = False	,_UpperCamelCase     :	int = 1_00_00	,):
   __lowerCamelCase  							=      search_prob
   __lowerCamelCase  							=      []  # list to store the current score at each iteration
   __lowerCamelCase  							=      0
   __lowerCamelCase  							=      False
   __lowerCamelCase  							=      set()
   while not solution_found and iterations < max_iter:
      visited.add(_UpperCamelCase							)
      iterations += 1
      __lowerCamelCase  							=      current_state.score()
      scores.append(_UpperCamelCase							)
      __lowerCamelCase  							=      current_state.get_neighbors()
      __lowerCamelCase  							=      -math.inf
      __lowerCamelCase  							=      math.inf
      __lowerCamelCase  							=      None  # to hold the next best neighbor
      for neighbor in neighbors:
         if neighbor in visited:
            continue  # do not want to visit the same state again
         if (
             neighbor.x > max_x
             or neighbor.x < min_x
             or neighbor.y > max_y
             or neighbor.y < min_y
         ):
            continue  # neighbor outside our bounds
         __lowerCamelCase  							=      neighbor.score() - current_score
         if find_max:  # finding max
            # going to direction with greatest ascent
            if change > max_change and change > 0:
               __lowerCamelCase  							=      change
               __lowerCamelCase  							=      neighbor
         else:  # finding min
            # to direction with greatest descent
            if change < min_change and change < 0:
               __lowerCamelCase  							=      change
               __lowerCamelCase  							=      neighbor
      if next_state is not None:
         # we found at least one neighbor which improved the current state
         __lowerCamelCase  							=      next_state
      else:
         # since we have no neighbor that improves the solution we stop the search
         __lowerCamelCase  							=      True

   if visualization:
      from matplotlib import pyplot as plt

      plt.plot(range(_UpperCamelCase							)	,_UpperCamelCase							)
      plt.xlabel('''Iterations'''							)
      plt.ylabel('''Function values'''							)
      plt.show()

   return current_state


if __name__ == "__main__":
  import doctest

  doctest.testmod()





  def 						a__     (						_UpperCamelCase     :	Union[str, Any]	,_UpperCamelCase     :	Union[str, Any]							):
     return (x**2) + (y**2)

  # starting the problem with initial coordinates (3, 4)
  a_								=   SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
  a_								=   hill_climbing(prob, find_max=False)
  print(
      """The minimum score for f(x, y) = x^2 + y^2 found via hill climbing: """
      f"{local_min.score()}"
  )

  # starting the problem with initial coordinates (12, 47)
  a_								=   SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
  a_								=   hill_climbing(
      prob, find_max=False, max_x=100, min_x=5, max_y=50, min_y=-5, visualization=True
  )
  print(
      """The minimum score for f(x, y) = x^2 + y^2 with the domain 100 > x > 5 """
      f"and 50 > y > - 5 found via hill climbing: {local_min.score()}"
  )





  def 						a__     (						_UpperCamelCase     :	int	,_UpperCamelCase     :	Dict							):
     return (3 * x**2) - (6 * y)

  a_								=   SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
  a_								=   hill_climbing(prob, find_max=True)





  print(
      """The maximum score for f(x, y) = x^2 + y^2 found via hill climbing: """
      f"{local_min.score()}"
  )






