
"""simple docstring"""







from __future__ import annotations

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

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

import requests







class 							__magic_name__     (		lowercase__   ):





					def __init__(				self   :							int							,						snake_case_   :							str    ):
												super().__init__()
												__snake_case     			=       []
												__snake_case     			=       domain





					def 							lowerCAmelCase      (				self   :							List[str]							,						snake_case_   :							str							,						snake_case_   :							list[tuple[str, str | None]]    ):
												# 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:
																																								__snake_case     			=       parse.urljoin(self.domain							,						snake_case_    )
																																								self.urls.append(snake_case_    )




def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     str:







							"""simple docstring"""


							return ".".join(get_sub_domain_name(SCREAMING_SNAKE_CASE ).split("." )[-2:] )
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     str:







							"""simple docstring"""


							return parse.urlparse(SCREAMING_SNAKE_CASE ).netloc
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE = "https://github.com" )  ->     list[str]:







							"""simple docstring"""


							__snake_case     			=       get_domain_name(SCREAMING_SNAKE_CASE )

							# Initialize the parser
							__snake_case     			=       Parser(SCREAMING_SNAKE_CASE )

							try:
														# Open URL
														__snake_case     			=       requests.get(SCREAMING_SNAKE_CASE )

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

														# Get links and loop through
														__snake_case     			=       set()
														for link in parser.urls:
																					# open URL.
																					# read = requests.get(link)
																					try:
																												__snake_case     			=       requests.get(SCREAMING_SNAKE_CASE )
																												# Get the valid email.
																												__snake_case     			=       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__":
							_SCREAMING_SNAKE_CASE	       =      emails_from_url("""https://github.com""")
							print(F"""{len(emails)} emails found:""")
							print("""\n""".join(sorted(emails)))


"""simple docstring"""







from __future__ import annotations

from itertools import permutations
from random import randint
from timeit import repeat
def   __UpperCamelCase   (					)  ->     tuple[list[int], int]:







							"""simple docstring"""


							__snake_case     			=       [randint(-10_00							,    10_00 ) for i in range(10 )]
							__snake_case     			=       randint(-50_00							,    50_00 )
							return (arr, r)


_SCREAMING_SNAKE_CASE	       =      make_dataset()
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )  ->     tuple[int, ...]:







							"""simple docstring"""


							for triplet in permutations(SCREAMING_SNAKE_CASE							,    3 ):
														if sum(SCREAMING_SNAKE_CASE ) == target:
																					return tuple(sorted(SCREAMING_SNAKE_CASE ) )
							return (0, 0, 0)
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )  ->     tuple[int, int, int]:







							"""simple docstring"""


							arr.sort()
							__snake_case     			=       len(SCREAMING_SNAKE_CASE )
							for i in range(n - 1 ):
														__snake_case			,   __snake_case     			=       i + 1, n - 1
														while left < right:
																					if arr[i] + arr[left] + arr[right] == target:
																												return (arr[i], arr[left], arr[right])
																					elif arr[i] + arr[left] + arr[right] < target:
																												left += 1
																					elif arr[i] + arr[left] + arr[right] > target:
																												right -= 1
							return (0, 0, 0)
def   __UpperCamelCase   (					)  ->     tuple[float, float]:







							"""simple docstring"""


							__snake_case     			=       "\nfrom __main__ import dataset, triplet_sum1, triplet_sum2\n"
							__snake_case     			=       "\ntriplet_sum1(*dataset)\n"
							__snake_case     			=       "\ntriplet_sum2(*dataset)\n"
							__snake_case     			=       repeat(setup=SCREAMING_SNAKE_CASE							,    stmt=SCREAMING_SNAKE_CASE							,    repeat=5							,    number=1_00_00 )
							__snake_case     			=       repeat(setup=SCREAMING_SNAKE_CASE							,    stmt=SCREAMING_SNAKE_CASE							,    repeat=5							,    number=1_00_00 )
							return (min(SCREAMING_SNAKE_CASE ), min(SCREAMING_SNAKE_CASE ))


if __name__ == "__main__":
		from doctest import testmod

		testmod()
		_SCREAMING_SNAKE_CASE	       =      solution_times()
		print(F"""The time for naive implementation is {times[0]}.""")
		print(F"""The time for optimized implementation is {times[1]}.""")
