

import os

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

__A	:   Optional[int]	=					{'UserAgent': UserAgent().random}
__A	:   Optional[Any]	=					'https://www.mywaifulist.moe/random'




def        __UpperCamelCase     (      _A					:							str      ,  _A					:							str		)				->None:



							"""simple docstring"""
							lowerCamelCase_								=requests.get(_A      ,  headers=_A		)
							with open(_A      ,  """wb"""		) as file:
														file.write(image.content		)




def        __UpperCamelCase     (      )				->tuple[str, str, str]:



							"""simple docstring"""
							lowerCamelCase_								=BeautifulSoup(requests.get(_A      ,  headers=_A		).text      ,  """html.parser"""		)
							lowerCamelCase_								=soup.find("""meta"""      ,  attrs={"""property""": """og:title"""}		).attrs["""content"""]
							lowerCamelCase_								=soup.find("""meta"""      ,  attrs={"""property""": """og:image"""}		).attrs["""content"""]
							lowerCamelCase_								=soup.find("""p"""      ,  id="""description"""		).get_text()
							lowerCamelCase_	,   lowerCamelCase_								=os.path.splitext(os.path.basename(_A		)		)
							lowerCamelCase_								=title.strip().replace(""" """      ,  """_"""		)
							lowerCamelCase_								=f'{image_title}{image_extension}'
							save_image(_A      ,  _A		)
							return (title, description, image_title)


if __name__ == "__main__":
	__A,		__A,		__A	:   Dict	=					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_torch_available,
    is_vision_available,
)


__A	:   Optional[int]	=					{
    'configuration_mobilevitv2': [
        'MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileViTV2Config',
        'MobileViTV2OnnxConfig',
    ],
}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A	:   Tuple	=					[
	    'MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'MobileViTV2ForImageClassification',
	    'MobileViTV2ForSemanticSegmentation',
	    'MobileViTV2Model',
	    'MobileViTV2PreTrainedModel',
	]

if TYPE_CHECKING:
	from .configuration_mobilevitva import (
	    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    MobileViTVaConfig,
	    MobileViTVaOnnxConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_mobilevitva import (
		    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MobileViTVaForImageClassification,
		    MobileViTVaForSemanticSegmentation,
		    MobileViTVaModel,
		    MobileViTVaPreTrainedModel,
		)

else:
	import sys

	__A	:   List[str]	=					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
