'''simple docstring'''


import math
import random
from typing import Any

from .hill_climbing import SearchProblem







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      str ,  lowercase_    :      bool = True ,  lowercase_    :      float = math.inf ,  lowercase_    :      float = -math.inf ,  lowercase_    :      float = math.inf ,  lowercase_    :      float = -math.inf ,  lowercase_    :      bool = False ,  lowercase_    :      float = 100 ,  lowercase_    :      float = 0.01 ,  lowercase_    :      float = 1 ,  ):
						lowercase        =							False
						lowercase        =							search_prob
						lowercase        =							start_temperate
						lowercase        =							[]
						lowercase        =							0
						lowercase        =							None

						while not search_end:
												lowercase        =							current_state.score()
												if best_state is None or current_score > best_state.score():
																		lowercase        =							current_state
												scores.append(__lowercase						)
												iterations += 1
												lowercase        =							None
												lowercase        =							current_state.get_neighbors()
												while (
												    next_state is None and neighbors
												):  # till we do not find a neighbor that we can move to
																		lowercase        =							random.randint(0 ,  len(__lowercase						) - 1						)  # picking a random neighbor
																		lowercase        =							neighbors.pop(__lowercase						)
																		lowercase        =							picked_neighbor.score() - current_score

																		if (
																		    picked_neighbor.x > max_x
																		    or picked_neighbor.x < min_x
																		    or picked_neighbor.y > max_y
																		    or picked_neighbor.y < min_y
																		):
																								continue  # neighbor outside our bounds

																		if not find_max:
																								lowercase        =							change * -1  # in case we are finding minimum
																		if change > 0:  # improves the solution
																								lowercase        =							picked_neighbor
																		else:
																								lowercase        =							(math.e) ** (
																								    change / current_temp
																								)  # probability generation function
																								if random.random() < probability:  # random number within probability
																														lowercase        =							picked_neighbor
												lowercase        =							current_temp - (current_temp * rate_of_decrease)

												if current_temp < threshold_temp or next_state is None:
																		# temperature below threshold, or could not find a suitable neighbor
																		lowercase        =							True
												else:
																		lowercase        =							next_state

						if visualization:
												from matplotlib import pyplot as plt

												plt.plot(range(__lowercase						) ,  __lowercase						)
												plt.xlabel("""Iterations"""						)
												plt.ylabel("""Function values"""						)
												plt.show()
						return best_state


if __name__ == "__main__":







						def      SCREAMING_SNAKE_CASE				(				lowercase_    :      Union[str, Any] ,  lowercase_    :      Optional[int]						):
												return (x**2) + (y**2)

						# starting the problem with initial coordinates (12, 47)
						lowercase_      :				Optional[int]   					=    SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
						lowercase_      :				Tuple   					=    simulated_annealing(
						    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()}'''
						)

						# starting the problem with initial coordinates (12, 47)
						lowercase_      :				Union[str, Any]   					=    SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
						lowercase_      :				Any   					=    simulated_annealing(
						    prob, find_max=True, max_x=100, min_x=5, max_y=50, min_y=-5, visualization=True
						)
						print(
						    '''The maximum 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      SCREAMING_SNAKE_CASE				(				lowercase_    :      Dict ,  lowercase_    :      Optional[int]						):
												return (3 * x**2) - (6 * y)

						lowercase_      :				Dict   					=    SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
						lowercase_      :				Union[str, Any]   					=    simulated_annealing(prob, find_max=False, visualization=True)
						print(
						    '''The minimum score for f(x, y) = 3*x^2 - 6*y found via hill climbing: '''
						    f'''{local_min.score()}'''
						)

						lowercase_      :				List[str]   					=    SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
						lowercase_      :				int   					=    simulated_annealing(prob, find_max=True, visualization=True)
						print(
						    '''The maximum score for f(x, y) = 3*x^2 - 6*y found via hill climbing: '''
						    f'''{local_min.score()}'''
						)







'''simple docstring'''


from __future__ import annotations

import os
from typing import Any

import requests

lowercase_      :				List[str]   					=    '''https://api.github.com'''

# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
lowercase_      :				Any   					=    BASE_URL + '''/user'''

# https://github.com/settings/tokens
lowercase_      :				Union[str, Any]   					=    os.environ.get('''USER_TOKEN''', '''''')







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      str						):
						lowercase        =							{
						    """Authorization""": F"""token {auth_token}""",
						    """Accept""": """application/vnd.github.v3+json""",
						}
						return requests.get(lowercase_ ,  headers=lowercase_						).json()


if __name__ == "__main__":  # pragma: no cover
						if USER_TOKEN:
												for key, value in fetch_github_info(USER_TOKEN).items():
																		print(f'''{key}: {value}''')
						else:
												raise ValueError('''\'USER_TOKEN\' field cannot be empty.''')


