

'''simple docstring'''




import math






class   _SCREAMING_SNAKE_CASE    :



 def __init__(    self		:    Any ,      a__		:    Any ,      a__		:    Tuple ,      a__		:    Any ,      a__		:    Union[str, Any]			):
      __magic_name__						   =				x
      __magic_name__						   =				y
      __magic_name__						   =				step_size
      __magic_name__						   =				function_to_optimize



 def  snake_case__  (    self		:    str			):
      return self.function(self.x ,      self.y			)



 def  snake_case__  (    self		:    str			):
      __magic_name__						   =				self.step_size
      return [
          SearchProblem(__SCREAMING_SNAKE_CASE ,      __SCREAMING_SNAKE_CASE ,      __SCREAMING_SNAKE_CASE ,      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		:    Tuple			):
      return hash(str(self			)			)



 def __eq__(    self		:    Any ,      a__		:    Any			):

      if isinstance(__SCREAMING_SNAKE_CASE ,      __SCREAMING_SNAKE_CASE			):
           return hash(str(self			)			) == hash(str(__SCREAMING_SNAKE_CASE			)			)
      return False



 def __str__(    self		:    Any			):
      return F'''x: {self.x} y: {self.y}'''




def 						UpperCamelCase       ( a		,						a = True		,						a = math.inf		,						a = -math.inf		,						a = math.inf		,						a = -math.inf		,						a = False		,						a = 1_0000		,						)      ->	SearchProblem:






     '''simple docstring'''
     __magic_name__						   =				search_prob
     __magic_name__						   =				[]  # list to store the current score at each iteration
     __magic_name__						   =				0
     __magic_name__						   =				False
     __magic_name__						   =				set()
     while not solution_found and iterations < max_iter:
          visited.add(a )
          iterations += 1
          __magic_name__						   =				current_state.score()
          scores.append(a )
          __magic_name__						   =				current_state.get_neighbors()
          __magic_name__						   =				-math.inf
          __magic_name__						   =				math.inf
          __magic_name__						   =				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
               __magic_name__						   =				neighbor.score() - current_score
               if find_max:  # finding max
                    # going to direction with greatest ascent
                    if change > max_change and change > 0:
                         __magic_name__						   =				change
                         __magic_name__						   =				neighbor
               else:  # finding min
                    # to direction with greatest descent
                    if change < min_change and change < 0:
                         __magic_name__						   =				change
                         __magic_name__						   =				neighbor
          if next_state is not None:
               # we found at least one neighbor which improved the current state
               __magic_name__						   =				next_state
          else:
               # since we have no neighbor that improves the solution we stop the search
               __magic_name__						   =				True

     if visualization:
          from matplotlib import pyplot as plt

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

     return current_state


if __name__ == "__main__":
      import doctest

      doctest.testmod()




      def 						UpperCamelCase       ( a		,						a )      ->	Tuple:






           '''simple docstring'''
           return (x**2) + (y**2)

      # starting the problem with initial coordinates (3, 4)
      _lowerCAmelCase    			=						SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
      _lowerCAmelCase    			=						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)
      _lowerCAmelCase    			=						SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
      _lowerCAmelCase    			=						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 						UpperCamelCase       ( a		,						a )      ->	List[str]:






           '''simple docstring'''
           return (3 * x**2) - (6 * y)

      _lowerCAmelCase    			=						SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
      _lowerCAmelCase    			=						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()}'''
      )













'''simple docstring'''







import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils





class     _UpperCAmelCase							(						unittest.TestCase   ):
		@patch("""diffusers.utils.hub_utils.get_full_repo_name"""			)
		def   lowerCamelCase__			(  self,__SCREAMING_SNAKE_CASE			):



					'''simple docstring'''

					__lowerCAmelCase											=				"""full_repo_name"""
					with TemporaryDirectory() as tmpdir:
								# Dummy args values
								__lowerCAmelCase											=				Mock()
								__lowerCAmelCase											=				tmpdir
								__lowerCAmelCase											=				0
								__lowerCAmelCase											=				"""hub_token"""
								__lowerCAmelCase											=				"""dataset_name"""
								__lowerCAmelCase											=				0.01
								__lowerCAmelCase											=				10_00_00
								__lowerCAmelCase											=				1_00_00
								__lowerCAmelCase											=				0.01
								__lowerCAmelCase											=				0.02
								__lowerCAmelCase											=				0.03
								__lowerCAmelCase											=				0.0005
								__lowerCAmelCase											=				0.00_0001
								__lowerCAmelCase											=				1
								__lowerCAmelCase											=				10
								__lowerCAmelCase											=				0.001
								__lowerCAmelCase											=				0.1
								__lowerCAmelCase											=				0.2
								__lowerCAmelCase											=				True

								# Model card mush be rendered and saved
								diffusers.utils.hub_utils.create_model_card(__SCREAMING_SNAKE_CASE,model_name="""model_name"""			)
								self.assertTrue((Path(__SCREAMING_SNAKE_CASE			) / """README.md""").is_file()			)

