



import math
import random
from typing import Any

from .hill_climbing import SearchProblem

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str				,     _SCREAMING_SNAKE_CASE       :			bool = True				,     _SCREAMING_SNAKE_CASE       :			float = math.inf				,     _SCREAMING_SNAKE_CASE       :			float = -math.inf				,     _SCREAMING_SNAKE_CASE       :			float = math.inf				,     _SCREAMING_SNAKE_CASE       :			float = -math.inf				,     _SCREAMING_SNAKE_CASE       :			bool = False				,     _SCREAMING_SNAKE_CASE       :			float = 100				,     _SCREAMING_SNAKE_CASE       :			float = 0.01				,     _SCREAMING_SNAKE_CASE       :			float = 1				,     ):
				"""simple docstring"""







				__a       =		False
				__a       =		search_prob
				__a       =		start_temperate
				__a       =		[]
				__a       =		0
				__a       =		None

				while not search_end:
								__a       =		current_state.score()
								if best_state is None or current_score > best_state.score():
												__a       =		current_state
								scores.append(_SCREAMING_SNAKE_CASE    )
								iterations += 1
								__a       =		None
								__a       =		current_state.get_neighbors()
								while (
								    next_state is None and neighbors
								):  # till we do not find a neighbor that we can move to
												__a       =		random.randint(0				,     len(_SCREAMING_SNAKE_CASE    ) - 1    )  # picking a random neighbor
												__a       =		neighbors.pop(_SCREAMING_SNAKE_CASE    )
												__a       =		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:
																__a       =		change * -1  # in case we are finding minimum
												if change > 0:  # improves the solution
																__a       =		picked_neighbor
												else:
																__a       =		(math.e) ** (
																    change / current_temp
																)  # probability generation function
																if random.random() < probability:  # random number within probability
																				__a       =		picked_neighbor
								__a       =		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
												__a       =		True
								else:
												__a       =		next_state

				if visualization:
								from matplotlib import pyplot as plt

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


if __name__ == "__main__":

						def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			Tuple				,     _SCREAMING_SNAKE_CASE       :			Optional[Any]    ):
										"""simple docstring"""







										return (x**2) + (y**2)

						# starting the problem with initial coordinates (12, 47)
						lowerCamelCase__			= SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
						lowerCamelCase__			= 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)
						lowerCamelCase__			= SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
						lowerCamelCase__			= 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   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			List[str]				,     _SCREAMING_SNAKE_CASE       :			Dict    ):
										"""simple docstring"""







										return (3 * x**2) - (6 * y)

						lowerCamelCase__			= SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
						lowerCamelCase__			= 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()}"""
						)

						lowerCamelCase__			= SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
						lowerCamelCase__			= 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()}"""
						)





from __future__ import annotations

lowerCamelCase__			= """Muhammad Umer Farooq"""
lowerCamelCase__			= """MIT"""
lowerCamelCase__			= """1.0.0"""
lowerCamelCase__			= """Muhammad Umer Farooq"""
lowerCamelCase__			= """contact@muhammadumerfarooq.me"""
lowerCamelCase__			= """Alpha"""

import re
from html.parser import HTMLParser
from urllib import parse

import requests






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):





							def __init__(   self		:		Any      ,				__lowercase		:		str	):

											'''simple docstring'''
											super().__init__()
											__a       =		[]
											__a       =		domain







							def 						UpperCamelCase_					(   self		:		Union[str, Any]      ,				__lowercase		:		str      ,				__lowercase		:		list[tuple[str, str | None]]	):

											'''simple docstring'''
											# Only parse the 'anchor' tag.
											if tag == "a":
															# Check the list of defined attributes.
															for name, value in attrs:
																			# If href is defined, and not empty nor # print it.
																			if name == "href" and value != "#" and value != "":
																							# If not already in urls.
																							if value not in self.urls:
																											__a       =		parse.urljoin(self.domain      ,				__lowercase	)
																											self.urls.append(__lowercase	)



def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str    ):
				"""simple docstring"""







				return ".".join(get_sub_domain_name(_SCREAMING_SNAKE_CASE    ).split("""."""    )[-2:]    )

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str    ):
				"""simple docstring"""







				return parse.urlparse(_SCREAMING_SNAKE_CASE    ).netloc

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str = "https://github.com"    ):
				"""simple docstring"""







				__a       =		get_domain_name(_SCREAMING_SNAKE_CASE    )

				# Initialize the parser
				__a       =		Parser(_SCREAMING_SNAKE_CASE    )

				try:
								# Open URL
								__a       =		requests.get(_SCREAMING_SNAKE_CASE    )

								# pass the raw HTML to the parser to get links
								parser.feed(r.text    )

								# Get links and loop through
								__a       =		set()
								for link in parser.urls:
												# open URL.
												# read = requests.get(link)
												try:
																__a       =		requests.get(_SCREAMING_SNAKE_CASE    )
																# Get the valid email.
																__a       =		re.findall("""[a-zA-Z0-9]+@""" + domain				,     read.text    )
																# If not in list then append it.
																for email in emails:
																				valid_emails.add(_SCREAMING_SNAKE_CASE    )
												except ValueError:
																pass
				except ValueError:
								raise SystemExit(1    )

				# Finally return a sorted list of email addresses with no duplicates.
				return sorted(_SCREAMING_SNAKE_CASE    )


if __name__ == "__main__":
						lowerCamelCase__			= emails_from_url("""https://github.com""")
						print(F"""{len(emails)} emails found:""")
						print("""\n""".join(sorted(emails)))
