


from __future__ import annotations

__UpperCAmelCase      :Tuple			    =       "Muhammad Umer Farooq"
__UpperCAmelCase      :Tuple			    =       "MIT"
__UpperCAmelCase      :Union[str, Any]			    =       "1.0.0"
__UpperCAmelCase      :Optional[int]			    =       "Muhammad Umer Farooq"
__UpperCAmelCase      :Optional[Any]			    =       "contact@muhammadumerfarooq.me"
__UpperCAmelCase      :Any			    =       "Alpha"

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

import requests



class      a    (		_a	):


     """simple docstring"""






     def __init__(    self					:		Tuple							,			snake_case					:		str      )						->							None:
          super().__init__()
          __UpperCAmelCase     :			list[str]  							=      []
          __UpperCAmelCase     :			Optional[int]  							=      domain






     def 			lowerCamelCase__			(    self					:		Union[str, Any]							,			snake_case					:		str							,			snake_case					:		list[tuple[str, str | None]]      )						->							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:
                              __UpperCAmelCase     :			Optional[Any]  							=      parse.urljoin(self.domain							,			snake_case      )
                              self.urls.append(snake_case      )




def      _a     (						_lowercase :     str  ):





     '''simple docstring'''






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




def      _a     (						_lowercase :     str  ):





     '''simple docstring'''






     return parse.urlparse(_lowercase  ).netloc




def      _a     (						_lowercase :     str = "https://github.com"  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Union[str, Any]  							=      get_domain_name(_lowercase  )

     # Initialize the parser
     __UpperCAmelCase     :			Dict  							=      Parser(_lowercase  )

     try:
          # Open URL
          __UpperCAmelCase     :			Dict  							=      requests.get(_lowercase  )

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

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

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


if __name__ == "__main__":
      __UpperCAmelCase      :List[str]			    =       emails_from_url("https://github.com")
      print(f"""{len(emails)} emails found:""")
      print("\n".join(sorted(emails)))



'''simple docstring'''



import os
import sys
import unittest


__UpperCAmelCase      :Optional[int]			    =       os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
__UpperCAmelCase      :Dict			    =       os.path.join(git_repo_path, "src", "diffusers")



class      a    (		unittest.TestCase	):


     """simple docstring"""






     def 			lowerCamelCase__			(    self					:		Any      )						->							int:
          __UpperCAmelCase     :			Optional[Any]  							=      find_backend('''    if not is_torch_available():'''      )
          self.assertEqual(snake_case							,			'''torch'''      )

          # backend_with_underscore = find_backend("    if not is_tensorflow_text_available():")
          # self.assertEqual(backend_with_underscore, "tensorflow_text")

          __UpperCAmelCase     :			Union[str, Any]  							=      find_backend('''    if not (is_torch_available() and is_transformers_available()):'''      )
          self.assertEqual(snake_case							,			'''torch_and_transformers'''      )

          # double_backend_with_underscore = find_backend(
          #    "    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"
          # )
          # self.assertEqual(double_backend_with_underscore, "sentencepiece_and_tensorflow_text")

          __UpperCAmelCase     :			List[str]  							=      find_backend(
              '''    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):'''      )
          self.assertEqual(snake_case							,			'''torch_and_transformers_and_onnx'''      )

     def 			lowerCamelCase__			(    self					:		Optional[int]      )						->							int:
          __UpperCAmelCase     :			Tuple  							=      read_init()
          # We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
          self.assertIn('''torch'''							,			snake_case      )
          self.assertIn('''torch_and_transformers'''							,			snake_case      )
          self.assertIn('''flax_and_transformers'''							,			snake_case      )
          self.assertIn('''torch_and_transformers_and_onnx'''							,			snake_case      )

          # Likewise, we can't assert on the exact content of a key
          self.assertIn('''UNet2DModel'''							,			objects['''torch''']      )
          self.assertIn('''FlaxUNet2DConditionModel'''							,			objects['''flax''']      )
          self.assertIn('''StableDiffusionPipeline'''							,			objects['''torch_and_transformers''']      )
          self.assertIn('''FlaxStableDiffusionPipeline'''							,			objects['''flax_and_transformers''']      )
          self.assertIn('''LMSDiscreteScheduler'''							,			objects['''torch_and_scipy''']      )
          self.assertIn('''OnnxStableDiffusionPipeline'''							,			objects['''torch_and_transformers_and_onnx''']      )

     def 			lowerCamelCase__			(    self					:		Optional[int]      )						->							List[Any]:
          __UpperCAmelCase     :			str  							=      create_dummy_object('''CONSTANT'''							,			'''\'torch\''''      )
          self.assertEqual(snake_case							,			'''\nCONSTANT = None\n'''      )

          __UpperCAmelCase     :			Union[str, Any]  							=      create_dummy_object('''function'''							,			'''\'torch\''''      )
          self.assertEqual(
              snake_case							,			'''\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n'''      )

          __UpperCAmelCase     :			Optional[int]  							=      '''
class FakeClass(metaclass=DummyObject):
    _backends = \'torch\'

    def __init__(self, *args, **kwargs):
        requires_backends(self, \'torch\')

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, \'torch\')

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, \'torch\')
'''
          __UpperCAmelCase     :			Optional[Any]  							=      create_dummy_object('''FakeClass'''							,			'''\'torch\''''      )
          self.assertEqual(snake_case							,			snake_case      )






     def 			lowerCamelCase__			(    self					:		int      )						->							List[Any]:
          __UpperCAmelCase     :			List[str]  							=      '''# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends


CONSTANT = None


def function(*args, **kwargs):
    requires_backends(function, ["torch"])


class FakeClass(metaclass=DummyObject):
    _backends = ["torch"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, ["torch"])

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, ["torch"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["torch"])
'''
          __UpperCAmelCase     :			Optional[int]  							=      create_dummy_files({'''torch''': ['''CONSTANT''', '''function''', '''FakeClass''']}      )
          self.assertEqual(dummy_files['''torch''']							,			snake_case      )