






"""simple docstring"""
import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing


class _lowerCAmelCase						(    __UpperCAmelCase       ):







						def __init__(    self   ,				lowerCAmelCase_ = "▁"   ,				lowerCAmelCase_ = True   ,				lowerCAmelCase_ = "<unk>"   ,				lowerCAmelCase_ = "</s>"   ,				lowerCAmelCase_ = "<pad>"   ,				)		->							Optional[int]:
										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    {
										    'pad': {'id': 0, 'token': pad_token},
										    'eos': {'id': 1, 'token': eos_token},
										    'unk': {'id': 2, 'token': unk_token},
										}

										_SCREAMING_SNAKE_CASE   :		Tuple       		=    [None] * len(self.special_tokens							)
										for token_dict in self.special_tokens.values():
														_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    token_dict['token']

										_SCREAMING_SNAKE_CASE   :		int       		=    Tokenizer(Unigram()							)

										_SCREAMING_SNAKE_CASE   :		Tuple       		=    normalizers.Sequence(
										    [
										        normalizers.Nmt(),
										        normalizers.NFKC(),
										        normalizers.Replace(Regex(' {2,}'							)   ,				' '							),
										        normalizers.Lowercase(),
										    ]							)
										_SCREAMING_SNAKE_CASE   :		Any       		=    pre_tokenizers.Sequence(
										    [
										        pre_tokenizers.Metaspace(replacement=lowerCAmelCase_   ,				add_prefix_space=lowerCAmelCase_							),
										        pre_tokenizers.Digits(individual_digits=lowerCAmelCase_							),
										        pre_tokenizers.Punctuation(),
										    ]							)
										_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    decoders.Metaspace(replacement=lowerCAmelCase_   ,				add_prefix_space=lowerCAmelCase_							)

										_SCREAMING_SNAKE_CASE   :		Dict       		=    TemplateProcessing(
										    single=F"""$A {self.special_tokens["eos"]["token"]}"""   ,				special_tokens=[(self.special_tokens['eos']['token'], self.special_tokens['eos']['id'])]   ,				)

										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    {
										    'model': 'SentencePieceUnigram',
										    'replacement': replacement,
										    'add_prefix_space': add_prefix_space,
										}

										super().__init__(lowerCAmelCase_   ,				lowerCAmelCase_							)







						def 			A      (    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_ = 8_0_0_0   ,				lowerCAmelCase_ = True   ,				)		->							Dict:
										_SCREAMING_SNAKE_CASE   :		List[str]       		=    trainers.UnigramTrainer(
										    vocab_size=lowerCAmelCase_   ,				special_tokens=self.special_tokens_list   ,				show_progress=lowerCAmelCase_   ,				)

										if isinstance(lowerCAmelCase_   ,				lowerCAmelCase_							):
														_SCREAMING_SNAKE_CASE   :		List[str]       		=    [files]
										self._tokenizer.train(lowerCAmelCase_   ,				trainer=lowerCAmelCase_							)

										self.add_unk_id()







						def 			A      (    self   ,				lowerCAmelCase_   ,				lowerCAmelCase_ = 8_0_0_0   ,				lowerCAmelCase_ = True   ,				)		->							List[Any]:
										_SCREAMING_SNAKE_CASE   :		List[Any]       		=    trainers.UnigramTrainer(
										    vocab_size=lowerCAmelCase_   ,				special_tokens=self.special_tokens_list   ,				show_progress=lowerCAmelCase_   ,				)

										self._tokenizer.train_from_iterator(lowerCAmelCase_   ,				trainer=lowerCAmelCase_							)

										self.add_unk_id()







						def 			A      (    self							)		->							List[Any]:
										_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    json.loads(self._tokenizer.to_str()							)

										_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    self.special_tokens['unk']['id']

										_SCREAMING_SNAKE_CASE   :		Any       		=    Tokenizer.from_str(json.dumps(lowerCAmelCase_							)							)









"""simple docstring"""
from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
			lowerCAmelCase__    						=			input('Enter image url: ').strip()
			print(F'Downloading image from {url} ...')
			lowerCAmelCase__    						=			BeautifulSoup(requests.get(url).content, 'html.parser')
			# The image URL is in the content field of the first meta tag with property og:image
			lowerCAmelCase__    						=			soup.find('meta', {'property': 'og:image'})['content']
			lowerCAmelCase__    						=			requests.get(image_url).content
			lowerCAmelCase__    						=			F'{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg'
			with open(file_name, 'wb') as fp:
						fp.write(image_data)
			print(F'Done. Image saved to disk as {file_name}.')

