from __future__ import annotations

UpperCamelCase__											=					'Muhammad Umer Farooq'
UpperCamelCase__											=					'MIT'
UpperCamelCase__											=					'1.0.0'
UpperCamelCase__											=					'Muhammad Umer Farooq'
UpperCamelCase__											=					'contact@muhammadumerfarooq.me'
UpperCamelCase__											=					'Alpha'

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

import requests





class      A							(				UpperCAmelCase_     ):


   def __init__(self     :						Optional[int]       ,  __UpperCAmelCase     :						str		)						->				None:
         """simple docstring"""



         super().__init__()
         UpperCAmelCase__								=  []
         UpperCAmelCase__								=  domain





   def 			lowercase_      (self     :						List[Any]       ,  __UpperCAmelCase     :						str       ,  __UpperCAmelCase     :						list[tuple[str, str | None]]		)						->				None:
         """simple docstring"""



         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:
                                 UpperCAmelCase__								=  parse.urljoin(self.domain       ,  __UpperCAmelCase		)
                                 self.urls.append(__UpperCAmelCase		)




def    lowerCAmelCase_ (     __A							)     ->				str:







      '''simple docstring'''


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




def    lowerCAmelCase_ (     __A							)     ->				str:







      '''simple docstring'''


      return parse.urlparse(__A							).netloc




def    lowerCAmelCase_ (     __A = "https://github.com"							)     ->				list[str]:







      '''simple docstring'''


      UpperCAmelCase__								=  get_domain_name(__A							)

      # Initialize the parser
      UpperCAmelCase__								=  Parser(__A							)

      try:
            # Open URL
            UpperCAmelCase__								=  requests.get(__A							)

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

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

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


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




import inspect
import os
import unittest

import torch

import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment





class      A							(				unittest.TestCase     ):


   def 			lowercase_      (self     :						Union[str, Any]		)						->				str:
         """simple docstring"""



         UpperCAmelCase__								=  inspect.getfile(accelerate.test_utils		)
         UpperCAmelCase__								=  os.path.sep.join(mod_file.split(os.path.sep		)[:-1] + ["scripts", "test_script.py"]		)
         UpperCAmelCase__								=  os.path.sep.join(
             mod_file.split(os.path.sep		)[:-1] + ["scripts", "test_distributed_data_loop.py"]		)
         UpperCAmelCase__								=  os.path.sep.join(mod_file.split(os.path.sep		)[:-1] + ["scripts", "test_ops.py"]		)


   @require_multi_gpu
   def 			lowercase_      (self     :						List[str]		)						->				Any:
         """simple docstring"""



         print(f"""Found {torch.cuda.device_count()} devices."""		)
         UpperCAmelCase__								=  ["torchrun", f"""--nproc_per_node={torch.cuda.device_count()}""", self.test_file_path]
         with patch_environment(omp_num_threads=1		):
               execute_subprocess_async(__UpperCAmelCase       ,  env=os.environ.copy()		)


   @require_multi_gpu
   def 			lowercase_      (self     :						str		)						->				str:
         """simple docstring"""



         print(f"""Found {torch.cuda.device_count()} devices."""		)
         UpperCAmelCase__								=  ["torchrun", f"""--nproc_per_node={torch.cuda.device_count()}""", self.operation_file_path]
         print(f"""Command: {cmd}"""		)
         with patch_environment(omp_num_threads=1		):
               execute_subprocess_async(__UpperCAmelCase       ,  env=os.environ.copy()		)


   @require_multi_gpu
   def 			lowercase_      (self     :						Tuple		)						->				int:
         """simple docstring"""



         UpperCAmelCase__								=  ["torchrun", f"""--nproc_per_node={torch.cuda.device_count()}""", inspect.getfile(self.__class__		)]
         with patch_environment(omp_num_threads=1		):
               execute_subprocess_async(__UpperCAmelCase       ,  env=os.environ.copy()		)





   @require_multi_gpu
   def 			lowercase_      (self     :						Dict		)						->				str:
         """simple docstring"""



         print(f"""Found {torch.cuda.device_count()} devices, using 2 devices only"""		)
         UpperCAmelCase__								=  ["torchrun", f"""--nproc_per_node={torch.cuda.device_count()}""", self.data_loop_file_path]
         with patch_environment(omp_num_threads=1       ,  cuda_visible_devices="0,1"		):
               execute_subprocess_async(__UpperCAmelCase       ,  env=os.environ.copy()		)


if __name__ == "__main__":
      UpperCamelCase__											=					Accelerator()
      UpperCamelCase__											=					(accelerator.state.process_index + 2, 1_0)
      UpperCamelCase__											=					torch.randint(0, 1_0, shape).to(accelerator.device)

      UpperCamelCase__											=					''

      UpperCamelCase__											=					accelerator.pad_across_processes(tensor)
      if tensora.shape[0] != accelerator.state.num_processes + 1:
            error_msg += f"Found shape {tensora.shape} but should have {accelerator.state.num_processes + 1} at dim 0."
      if not torch.equal(tensora[: accelerator.state.process_index + 2], tensor):
            error_msg += "Tensors have different values."
      if not torch.all(tensora[accelerator.state.process_index + 2 :] == 0):
            error_msg += "Padding was not done with the right value (0)."

      UpperCamelCase__											=					accelerator.pad_across_processes(tensor, pad_first=True)
      if tensora.shape[0] != accelerator.state.num_processes + 1:
            error_msg += f"Found shape {tensora.shape} but should have {accelerator.state.num_processes + 1} at dim 0."
      UpperCamelCase__											=					accelerator.state.num_processes - accelerator.state.process_index - 1
      if not torch.equal(tensora[index:], tensor):
            error_msg += "Tensors have different values."
      if not torch.all(tensora[:index] == 0):
            error_msg += "Padding was not done with the right value (0)."

      # Raise error at the end to make sure we don't stop at the first failure.
      if len(error_msg) > 0:
            raise ValueError(error_msg)



