


"""simple docstring"""







import os

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

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






def        a__			(							_UpperCamelCase						,      _UpperCamelCase			):





						"""simple docstring"""

						UpperCAmelCase__												=     requests.get(_UpperCamelCase						,      headers=_UpperCamelCase			)
						with open(_UpperCamelCase						,      '''wb'''			) as file:
												file.write(image.content			)






def        a__			(							):





						"""simple docstring"""

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


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



"""simple docstring"""







from typing import TYPE_CHECKING

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


__a      			= {"configuration_bert_generation": ["BertGenerationConfig"]}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a      			= ["BertGenerationTokenizer"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a      			= [
						    "BertGenerationDecoder",
						    "BertGenerationEncoder",
						    "BertGenerationPreTrainedModel",
						    "load_tf_weights_in_bert_generation",
						]


if TYPE_CHECKING:
						from .configuration_bert_generation import BertGenerationConfig

						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_bert_generation import BertGenerationTokenizer

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_bert_generation import (
												    BertGenerationDecoder,
												    BertGenerationEncoder,
												    BertGenerationPreTrainedModel,
												    load_tf_weights_in_bert_generation,
												)

else:
						import sys

						__a      			= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)