






import os

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

UpperCamelCase__						:      List[Any]								=					{"""UserAgent""": UserAgent().random}
UpperCamelCase__						:      Any								=					"""https://www.mywaifulist.moe/random"""





def   SCREAMING_SNAKE_CASE__						(   snake_case_,  snake_case_  )   ->  None:
	a		=			requests.get(snake_case_,  headers=snake_case_  )
	with open(snake_case_,  '''wb'''  ) as file:
		file.write(image.content  )





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


if __name__ == "__main__":
				UpperCamelCase__						:      List[str]								=					random_anime_character()
				print(F"{title}\n\n{desc}\n\nImage saved : {image_title}")













from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCamelCase__						:      Tuple								=					{
    """configuration_nystromformer""": ["""NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """NystromformerConfig"""],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase__						:      Any								=					[
				    """NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """NystromformerForMaskedLM""",
				    """NystromformerForMultipleChoice""",
				    """NystromformerForQuestionAnswering""",
				    """NystromformerForSequenceClassification""",
				    """NystromformerForTokenClassification""",
				    """NystromformerLayer""",
				    """NystromformerModel""",
				    """NystromformerPreTrainedModel""",
				]


if TYPE_CHECKING:
				from .configuration_nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_nystromformer import (
								    NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
								    NystromformerForMaskedLM,
								    NystromformerForMultipleChoice,
								    NystromformerForQuestionAnswering,
								    NystromformerForSequenceClassification,
								    NystromformerForTokenClassification,
								    NystromformerLayer,
								    NystromformerModel,
								    NystromformerPreTrainedModel,
								)


else:
				import sys

				UpperCamelCase__						:      str								=					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





