'''simple docstring'''





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_funnel import FunnelTokenizer


lowerCAmelCase_	:		Optional[Any]			=     logging.get_logger(__name__)

lowerCAmelCase_	:		Any			=     {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

lowerCAmelCase_	:		Union[str, Any]			=     [
    """small""",
    """small-base""",
    """medium""",
    """medium-base""",
    """intermediate""",
    """intermediate-base""",
    """large""",
    """large-base""",
    """xlarge""",
    """xlarge-base""",
]

lowerCAmelCase_	:		str			=     {
    """vocab_file""": {
        """funnel-transformer/small""": """https://huggingface.co/funnel-transformer/small/resolve/main/vocab.txt""",
        """funnel-transformer/small-base""": """https://huggingface.co/funnel-transformer/small-base/resolve/main/vocab.txt""",
        """funnel-transformer/medium""": """https://huggingface.co/funnel-transformer/medium/resolve/main/vocab.txt""",
        """funnel-transformer/medium-base""": (
            """https://huggingface.co/funnel-transformer/medium-base/resolve/main/vocab.txt"""
        ),
        """funnel-transformer/intermediate""": (
            """https://huggingface.co/funnel-transformer/intermediate/resolve/main/vocab.txt"""
        ),
        """funnel-transformer/intermediate-base""": (
            """https://huggingface.co/funnel-transformer/intermediate-base/resolve/main/vocab.txt"""
        ),
        """funnel-transformer/large""": """https://huggingface.co/funnel-transformer/large/resolve/main/vocab.txt""",
        """funnel-transformer/large-base""": """https://huggingface.co/funnel-transformer/large-base/resolve/main/vocab.txt""",
        """funnel-transformer/xlarge""": """https://huggingface.co/funnel-transformer/xlarge/resolve/main/vocab.txt""",
        """funnel-transformer/xlarge-base""": (
            """https://huggingface.co/funnel-transformer/xlarge-base/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """funnel-transformer/small""": """https://huggingface.co/funnel-transformer/small/resolve/main/tokenizer.json""",
        """funnel-transformer/small-base""": (
            """https://huggingface.co/funnel-transformer/small-base/resolve/main/tokenizer.json"""
        ),
        """funnel-transformer/medium""": """https://huggingface.co/funnel-transformer/medium/resolve/main/tokenizer.json""",
        """funnel-transformer/medium-base""": (
            """https://huggingface.co/funnel-transformer/medium-base/resolve/main/tokenizer.json"""
        ),
        """funnel-transformer/intermediate""": (
            """https://huggingface.co/funnel-transformer/intermediate/resolve/main/tokenizer.json"""
        ),
        """funnel-transformer/intermediate-base""": (
            """https://huggingface.co/funnel-transformer/intermediate-base/resolve/main/tokenizer.json"""
        ),
        """funnel-transformer/large""": """https://huggingface.co/funnel-transformer/large/resolve/main/tokenizer.json""",
        """funnel-transformer/large-base""": (
            """https://huggingface.co/funnel-transformer/large-base/resolve/main/tokenizer.json"""
        ),
        """funnel-transformer/xlarge""": """https://huggingface.co/funnel-transformer/xlarge/resolve/main/tokenizer.json""",
        """funnel-transformer/xlarge-base""": (
            """https://huggingface.co/funnel-transformer/xlarge-base/resolve/main/tokenizer.json"""
        ),
    },
}
lowerCAmelCase_	:		Optional[int]			=     {f"""funnel-transformer/{name}""": 512 for name in _model_names}
lowerCAmelCase_	:		List[str]			=     {f"""funnel-transformer/{name}""": {"""do_lower_case""": True} for name in _model_names}




class 		SCREAMING_SNAKE_CASE     (					SCREAMING_SNAKE_CASE	):







				'''simple docstring'''
				UpperCAmelCase__							=							VOCAB_FILES_NAMES
				UpperCAmelCase__							=							PRETRAINED_VOCAB_FILES_MAP
				UpperCAmelCase__							=							PRETRAINED_INIT_CONFIGURATION
				UpperCAmelCase__							=							FunnelTokenizer
				UpperCAmelCase__							=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCAmelCase__							=							2





				def __init__(						self					:						Union[str, Any]       ,		lowercase__					:						str=None       ,		lowercase__					:						List[str]=None       ,		lowercase__					:						Any=True       ,		lowercase__					:						Tuple="<unk>"       ,		lowercase__					:						Optional[int]="<sep>"       ,		lowercase__					:						Tuple="<pad>"       ,		lowercase__					:						Dict="<cls>"       ,		lowercase__					:						int="<mask>"       ,		lowercase__					:						List[str]="<s>"       ,		lowercase__					:						Optional[Any]="</s>"       ,		lowercase__					:						Union[str, Any]=True       ,		lowercase__					:						Any=True       ,		lowercase__					:						str=None       ,		lowercase__					:						Dict="##"       ,		**lowercase__					:						Union[str, Any]       ,		)							->List[Any]:


										'''simple docstring'''




										super().__init__(
										    lowercase__       ,		tokenizer_file=lowercase__       ,		do_lower_case=lowercase__       ,		unk_token=lowercase__       ,		sep_token=lowercase__       ,		pad_token=lowercase__       ,		cls_token=lowercase__       ,		mask_token=lowercase__       ,		bos_token=lowercase__       ,		eos_token=lowercase__       ,		clean_text=lowercase__       ,		tokenize_chinese_chars=lowercase__       ,		strip_accents=lowercase__       ,		wordpieces_prefix=lowercase__       ,		**lowercase__       ,		)

										_UpperCamelCase			:			Any   			=						json.loads(self.backend_tokenizer.normalizer.__getstate__()					)
										if (
										    normalizer_state.get("lowercase"       ,		lowercase__					) != do_lower_case
										    or normalizer_state.get("strip_accents"       ,		lowercase__					) != strip_accents
										    or normalizer_state.get("handle_chinese_chars"       ,		lowercase__					) != tokenize_chinese_chars
										):
																_UpperCamelCase			:			List[str]   			=						getattr(lowercase__       ,		normalizer_state.pop("type"					)					)
																_UpperCamelCase			:			List[Any]   			=						do_lower_case
																_UpperCamelCase			:			List[str]   			=						strip_accents
																_UpperCamelCase			:			Optional[Any]   			=						tokenize_chinese_chars
																_UpperCamelCase			:			List[Any]   			=						normalizer_class(**lowercase__					)

										_UpperCamelCase			:			Union[str, Any]   			=						do_lower_case





				def  snake_case__				(						self					:						Any       ,		lowercase__					:						Dict       ,		lowercase__					:						Optional[Any]=None					)							->List[str]:


										'''simple docstring'''




										_UpperCamelCase			:			str   			=						[self.cls_token_id] + token_ids_a + [self.sep_token_id]

										if token_ids_a:
																output += token_ids_a + [self.sep_token_id]

										return output





				def  snake_case__				(						self					:						str       ,		lowercase__					:						List[int]       ,		lowercase__					:						Optional[List[int]] = None					)							->List[int]:


										'''simple docstring'''




										_UpperCamelCase			:			Dict   			=						[self.sep_token_id]
										_UpperCamelCase			:			Tuple   			=						[self.cls_token_id]
										if token_ids_a is None:
																return len(cls					) * [self.cls_token_type_id] + len(token_ids_a + sep					) * [0]
										return len(cls					) * [self.cls_token_type_id] + len(token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1]







				def  snake_case__				(						self					:						List[str]       ,		lowercase__					:						str       ,		lowercase__					:						Optional[str] = None					)							->Tuple[str]:


										'''simple docstring'''




										_UpperCamelCase			:			List[str]   			=						self._tokenizer.model.save(lowercase__       ,		name=lowercase__					)
										return tuple(lowercase__					)



'''simple docstring'''





from __future__ import annotations

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

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

import requests




class 		SCREAMING_SNAKE_CASE     (					SCREAMING_SNAKE_CASE	):







				'''simple docstring'''





				def __init__(						self					:						List[Any]       ,		lowercase__					:						str					)							->None:


										'''simple docstring'''




										super().__init__()
										_UpperCamelCase			:			list[str]   			=						[]
										_UpperCamelCase			:			int   			=						domain







				def  snake_case__				(						self					:						str       ,		lowercase__					:						str       ,		lowercase__					:						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			:			Optional[Any]   			=						parse.urljoin(self.domain       ,		lowercase__					)
																																		self.urls.append(lowercase__					)





def 						__A							(     UpperCAmelCase					)     ->			str:




						'''simple docstring'''
						return ".".join(get_sub_domain_name(UpperCAmelCase					).split("."					)[-2:]					)
def 						__A							(     UpperCAmelCase					)     ->			str:




						'''simple docstring'''
						return parse.urlparse(UpperCAmelCase					).netloc
def 						__A							(     UpperCAmelCase = "https://github.com"					)     ->			list[str]:




						'''simple docstring'''
						_UpperCamelCase			:			int   			=						get_domain_name(UpperCAmelCase					)

						# Initialize the parser
						_UpperCamelCase			:			Any   			=						Parser(UpperCAmelCase					)

						try:
												# Open URL
												_UpperCamelCase			:			Union[str, Any]   			=						requests.get(UpperCAmelCase					)

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

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

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


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


