

'''simple docstring'''

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
						from .tokenization_xglm import XGLMTokenizer
else:
						lowerCAmelCase_						   =			None


lowerCAmelCase_						   =			logging.get_logger(__name__)

lowerCAmelCase_						   =			{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

lowerCAmelCase_						   =			{
    "vocab_file": {
        "facebook/xglm-564M": "https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_file": {
        "facebook/xglm-564M": "https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json",
    },
}

lowerCAmelCase_						   =			{
    "facebook/xglm-564M": 2_0_4_8,
}







class lowerCamelCase      (						__lowerCAmelCase							):
				snake_case_           =   VOCAB_FILES_NAMES
				snake_case_           =   PRETRAINED_VOCAB_FILES_MAP
				snake_case_           =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				snake_case_           =   ['''input_ids''', '''attention_mask''']
				snake_case_           =   XGLMTokenizer

				def __init__(					self,	lowercase_=None,	lowercase_=None,	lowercase_="<s>",	lowercase_="</s>",	lowercase_="</s>",	lowercase_="<s>",	lowercase_="<unk>",	lowercase_="<pad>",	**lowercase_,	)						->       Optional[int]:
					# Compatibility with the original tokenizer
					snake_case							 =				7
					snake_case							 =				[F'''<madeupword{i}>''' for i in range(self.num_madeup_words   )]

					snake_case							 =				kwargs.get('additional_special_tokens',	[]   )
					kwargs["additional_special_tokens"] += [
					    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
					]

					super().__init__(
					    lowercase_,	tokenizer_file=lowercase_,	bos_token=lowercase_,	eos_token=lowercase_,	sep_token=lowercase_,	cls_token=lowercase_,	unk_token=lowercase_,	pad_token=lowercase_,	**lowercase_,	)

					snake_case							 =				vocab_file
					snake_case							 =				False if not self.vocab_file else True

				def 				_lowerCamelCase						(					self,	lowercase_,	lowercase_ = None   )						->       List[int]:

					if token_ids_a is None:
						return [self.sep_token_id] + token_ids_a
					snake_case							 =				[self.sep_token_id]
					return sep + token_ids_a + sep + sep + token_ids_a

				def 				_lowerCamelCase						(					self,	lowercase_,	lowercase_ = None   )						->       List[int]:
					snake_case							 =				[self.sep_token_id]

					if token_ids_a is None:
						return len(sep + token_ids_a   ) * [0]
					return len(sep + token_ids_a + sep + sep + token_ids_a   ) * [0]






				def 				_lowerCamelCase						(					self,	lowercase_,	lowercase_ = None   )						->       Tuple[str]:
					if not self.can_save_slow_tokenizer:
						raise ValueError(
						    'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
						    'tokenizer.'   )

					if not os.path.isdir(lowercase_   ):
						logger.error(F'''Vocabulary path ({save_directory}) should be a directory.'''   )
						return
					snake_case							 =				os.path.join(
					    lowercase_,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )

					if os.path.abspath(self.vocab_file   ) != os.path.abspath(lowercase_   ):
						copyfile(self.vocab_file,	lowercase_   )

					return (out_vocab_file,)








'''simple docstring'''

import os

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

lowerCAmelCase_						   =			{"UserAgent": UserAgent().random}
lowerCAmelCase_						   =			"https://www.mywaifulist.moe/random"

def     __magic_name__       ( A					,   A							)			->		None:
	snake_case							 =				requests.get(A					,   headers=A							)
	with open(A					,   'wb'							) as file:
		file.write(image.content							)

def     __magic_name__       ( )			->		tuple[str, str, str]:
	snake_case							 =				BeautifulSoup(requests.get(A					,   headers=A							).text					,   'html.parser'							)
	snake_case							 =				soup.find('meta'					,   attrs={'property': 'og:title'}							).attrs['content']
	snake_case							 =				soup.find('meta'					,   attrs={'property': 'og:image'}							).attrs['content']
	snake_case							 =				soup.find('p'					,   id='description'							).get_text()
	snake_case , snake_case							 =				os.path.splitext(os.path.basename(A							)							)
	snake_case							 =				title.strip().replace(' '					,   '_'							)
	snake_case							 =				F'''{image_title}{image_extension}'''
	save_image(A					,   A							)
	return (title, description, image_title)


if __name__ == "__main__":
						lowerCAmelCase_   ,	lowerCAmelCase_   ,	lowerCAmelCase_						   =			random_anime_character()
						print(f"{title}\n\n{desc}\n\nImage saved : {image_title}")





