






"""simple docstring"""



import os

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

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


def   SCREAMING_SNAKE_CASE__					(     snake_case					:   str ,				snake_case					:   str							)->		None:






     '''simple docstring'''



     UpperCAmelCase__	:						Union[str, Any]       =       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]:






     '''simple docstring'''



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


if __name__ == "__main__":
 _lowerCAmelCase ,     _lowerCAmelCase ,     _lowerCAmelCase  :  Optional[int]   =			random_anime_character()
 print(F"""{title}\n\n{desc}\n\nImage saved : {image_title}""")










"""simple docstring"""



# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


_lowerCAmelCase  :  Optional[Any]   =			{
    """configuration_convnextv2""": [
        """CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """ConvNextV2Config""",
    ]
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _lowerCAmelCase  :  str   =			[
     """CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """ConvNextV2ForImageClassification""",
     """ConvNextV2Model""",
     """ConvNextV2PreTrainedModel""",
     """ConvNextV2Backbone""",
 ]


if TYPE_CHECKING:
 from .configuration_convnextva import (
     CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
     ConvNextVaConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_convnextva import (
      CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST,
      ConvNextVaBackbone,
      ConvNextVaForImageClassification,
      ConvNextVaModel,
      ConvNextVaPreTrainedModel,
  )

else:
 import sys

 _lowerCAmelCase  :  List[str]   =			_LazyModule(__name__, globals()["""__file__"""], _import_structure)


