






from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


a_      = logging.get_logger(__name__)

a_      = {
    """facebook/convnext-tiny-224""": """https://huggingface.co/facebook/convnext-tiny-224/resolve/main/config.json""",
    # See all ConvNeXT models at https://huggingface.co/models?filter=convnext
}





class 		SCREAMING_SNAKE_CASE__   (     lowerCAmelCase_		,		lowerCAmelCase_    ):
		_UpperCAmelCase         ="""convnext"""



		def __init__(    self:    str				,   a:    int=3				,   a:    Any=4				,   a:    Dict=4				,   a:    Optional[int]=None				,   a:    Union[str, Any]=None				,   a:    str="gelu"				,   a:    List[Any]=0.02				,   a:    Union[str, Any]=1e-12				,   a:    Any=1e-6				,   a:    Dict=0.0				,   a:    str=2_24				,   a:    str=None				,   a:    Union[str, Any]=None				,   **a:    Dict				,   )  ->Union[str, Any]:






								'''simple docstring'''


								super().__init__(**__SCREAMING_SNAKE_CASE)

								a_				     =   num_channels
								a_				     =   patch_size
								a_				     =   num_stages
								a_				     =   [96, 1_92, 3_84, 7_68] if hidden_sizes is None else hidden_sizes
								a_				     =   [3, 3, 9, 3] if depths is None else depths
								a_				     =   hidden_act
								a_				     =   initializer_range
								a_				     =   layer_norm_eps
								a_				     =   layer_scale_init_value
								a_				     =   drop_path_rate
								a_				     =   image_size
								a_				     =   ["stem"] + [f"""stage{idx}""" for idx in range(1				,   len(self.depths) + 1)]
								a_     ,       a_				     =   get_aligned_output_features_output_indices(
								    out_features=__SCREAMING_SNAKE_CASE				,   out_indices=__SCREAMING_SNAKE_CASE				,   stage_names=self.stage_names)





class 		SCREAMING_SNAKE_CASE__   (     lowerCAmelCase_    ):
		_UpperCAmelCase         =version.parse('''1.11'''    )



		@property
		def _lowerCAmelCase     (    self:    List[str])  ->Tuple:






								'''simple docstring'''


								return OrderedDict(
								    [
								        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
								    ])




		@property
		def _lowerCAmelCase     (    self:    int)  ->Dict:






								'''simple docstring'''


								return 1e-5











'''simple docstring'''





import requests
from bsa import BeautifulSoup



def 			__UpperCAmelCase				(lowercase__	,lowercase__				)		->				str:

						'''simple docstring'''


						a_				     =   (
						    "https://www.horoscope.com/us/horoscopes/general/"
						    F"""horoscope-general-daily-{day}.aspx?sign={zodiac_sign}"""
						)
						a_				     =   BeautifulSoup(requests.get(lowercase__				).content	,"html.parser"				)
						return soup.find("div"	,class_="main-horoscope"				).p.text


if __name__ == "__main__":
							print('Daily Horoscope. \n')
							print(
							    'enter your Zodiac sign number:\n',
							    '1. Aries\n',
							    '2. Taurus\n',
							    '3. Gemini\n',
							    '4. Cancer\n',
							    '5. Leo\n',
							    '6. Virgo\n',
							    '7. Libra\n',
							    '8. Scorpio\n',
							    '9. Sagittarius\n',
							    '10. Capricorn\n',
							    '11. Aquarius\n',
							    '12. Pisces\n',
							)
							a_      = int(input('number> ').strip())
							print('choose some day:\n', 'yesterday\n', 'today\n', 'tomorrow\n')
							a_      = input('enter the day> ')
							a_      = horoscope(zodiac_sign, day)
							print(horoscope_text)



