



"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging


UpperCAmelCase:   Dict       			=							logging.get_logger(__name__)

UpperCAmelCase:   Optional[Any]       			=							{
    """uclanlp/plbart-base""": """https://huggingface.co/uclanlp/plbart-base/resolve/main/config.json""",
    # See all PLBART models at https://huggingface.co/models?filter=plbart
}





class    UpperCamelCase     (			snake_case    ):




	"""simple docstring"""
	SCREAMING_SNAKE_CASE_				:    Union[str, Any]		    =   "plbart"
	SCREAMING_SNAKE_CASE_				:    str		    =   ["past_key_values"]
	SCREAMING_SNAKE_CASE_				:    int		    =   {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}






	def __init__(			self							,UpperCAmelCase_=5_00_05							,UpperCAmelCase_=10_24							,UpperCAmelCase_=6							,UpperCAmelCase_=30_72							,UpperCAmelCase_=12							,UpperCAmelCase_=6							,UpperCAmelCase_=30_72							,UpperCAmelCase_=12							,UpperCAmelCase_=0.0							,UpperCAmelCase_=0.0							,UpperCAmelCase_=True							,UpperCAmelCase_=True							,UpperCAmelCase_="gelu"							,UpperCAmelCase_=7_68							,UpperCAmelCase_=0.1							,UpperCAmelCase_=0.1							,UpperCAmelCase_=0.0							,UpperCAmelCase_=0.02							,UpperCAmelCase_=0.0							,UpperCAmelCase_=True							,UpperCAmelCase_=1							,UpperCAmelCase_=0							,UpperCAmelCase_=2							,UpperCAmelCase_=2							,**UpperCAmelCase_							,):
			_lowercase							:      Union[str, Any]			=					vocab_size
			_lowercase							:      Any			=					max_position_embeddings
			_lowercase							:      Dict			=					d_model
			_lowercase							:      Optional[int]			=					encoder_ffn_dim
			_lowercase							:      Dict			=					encoder_layers
			_lowercase							:      str			=					encoder_attention_heads
			_lowercase							:      str			=					decoder_ffn_dim
			_lowercase							:      Optional[Any]			=					decoder_layers
			_lowercase							:      List[Any]			=					decoder_attention_heads
			_lowercase							:      int			=					dropout
			_lowercase							:      Optional[int]			=					attention_dropout
			_lowercase							:      List[str]			=					activation_dropout
			_lowercase							:      Any			=					activation_function
			_lowercase							:      Tuple			=					init_std
			_lowercase							:      Union[str, Any]			=					encoder_layerdrop
			_lowercase							:      int			=					decoder_layerdrop
			_lowercase							:      Any			=					classifier_dropout
			_lowercase							:      Optional[Any]			=					use_cache
			_lowercase							:      Union[str, Any]			=					encoder_layers
			_lowercase							:      Optional[Any]			=					scale_embedding  # scale factor will be sqrt(d_model) if True
			super().__init__(
			    pad_token_id=UpperCAmelCase_							,bos_token_id=UpperCAmelCase_							,eos_token_id=UpperCAmelCase_							,is_encoder_decoder=UpperCAmelCase_							,forced_eos_token_id=UpperCAmelCase_							,**UpperCAmelCase_							,)







class    UpperCamelCase     (			snake_case    ):




	"""simple docstring"""






	@property
	def 					lowerCamelCase__ (			self					):
			return OrderedDict(
			    [
			        ("""input_ids""", {0: """batch""", 1: """sequence"""}),
			        ("""attention_mask""", {0: """batch""", 1: """sequence"""}),
			    ]					)






	@property
	def 					lowerCamelCase__ (			self					):
			if self.use_past:
					return OrderedDict(
					    [
					        ("""last_hidden_state""", {0: """batch""", 1: """sequence"""}),
					        ("""past_keys""", {0: """batch""", 2: """sequence"""}),
					        ("""encoder_last_hidden_state""", {0: """batch""", 1: """sequence"""}),
					    ]					)
			else:
					return OrderedDict(
					    [
					        ("""last_hidden_state""", {0: """batch""", 1: """sequence"""}),
					        ("""encoder_last_hidden_state""", {0: """batch""", 1: """sequence"""}),
					    ]					)








"""simple docstring"""







import requests
from bsa import BeautifulSoup


def       __SCREAMING_SNAKE_CASE      (   __UpperCAmelCase					,							__UpperCAmelCase	):
		_lowercase							:      Dict			=					(
		    """https://www.horoscope.com/us/horoscopes/general/"""
		    F"""horoscope-general-daily-{day}.aspx?sign={zodiac_sign}"""
		)
		_lowercase							:      Any			=					BeautifulSoup(requests.get(__UpperCAmelCase	).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""",
		)
		UpperCAmelCase:   Union[str, Any]       			=							int(input("""number> """).strip())
		print("""choose some day:\n""", """yesterday\n""", """today\n""", """tomorrow\n""")
		UpperCAmelCase:   List[Any]       			=							input("""enter the day> """)
		UpperCAmelCase:   List[Any]       			=							horoscope(zodiac_sign, day)
		print(horoscope_text)



