
"""simple docstring"""





from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
							from .features import FeatureType
@dataclass
class 						SCREAMING_SNAKE_CASE_ :




		"""simple docstring"""





		__lowercase							:  List[str]
		__lowercase							:  Optional[str]						   =		None
		# Automatically constructed
		__lowercase							:  ClassVar[str]						   =		"dict"
		__lowercase							:  ClassVar[Any]						   =		None
		__lowercase							:  str						   =		field(default='''Translation'''     ,				init=__a     ,				repr=__a )




		def __call__(     self):
				return pa.struct({lang: pa.string() for lang in sorted(self.languages)})




		def 	snake_case_     (     self):
				from .features import Value

				return {k: Value("""string""") for k in sorted(self.languages)}



@dataclass
class 						SCREAMING_SNAKE_CASE_ :




		"""simple docstring"""





		__lowercase							:  Optional[List]						   =		None
		__lowercase							:  Optional[int]						   =		None
		__lowercase							:  Optional[str]						   =		None
		# Automatically constructed
		__lowercase							:  ClassVar[str]						   =		"dict"
		__lowercase							:  ClassVar[Any]						   =		None
		__lowercase							:  str						   =		field(default='''TranslationVariableLanguages'''     ,				init=__a     ,				repr=__a )




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = sorted(set(self.languages)) if self.languages else None
				__SCREAMING_SNAKE_CASE            = len(self.languages) if self.languages else None




		def __call__(     self):
				return pa.struct({"""language""": pa.list_(pa.string()), """translation""": pa.list_(pa.string())})




		def 	snake_case_     (     self							,  lowerCAmelCase__):
				__SCREAMING_SNAKE_CASE            = set(self.languages)
				if self.languages and set(lowerCAmelCase__) - lang_set:
						raise ValueError(
						    f"Some languages in example ({', '.join(sorted(set(lowerCAmelCase__) - lang_set))}) are not in valid set ({', '.join(lowerCAmelCase__)}).")

				# Convert dictionary into tuples, splitting out cases where there are
				# multiple translations for a single language.
				__SCREAMING_SNAKE_CASE            = []
				for lang, text in translation_dict.items():
						if isinstance(lowerCAmelCase__							,  lowerCAmelCase__):
								translation_tuples.append((lang, text))
						else:
								translation_tuples.extend([(lang, el) for el in text])

        # Ensure translations are in ascending order by language code.
				__SCREAMING_SNAKE_CASE       ,__SCREAMING_SNAKE_CASE            = zip(*sorted(lowerCAmelCase__))

				return {"language": languages, "translation": translations}




		def 	snake_case_     (     self):
				from .features import Sequence, Value

				return {
				    "language": Sequence(Value("""string""")),
				    "translation": Sequence(Value("""string""")),
				}






"""simple docstring"""





import requests
from bsa import BeautifulSoup



def 						_lowerCAmelCase				(				UpperCamelCase_ = "AAPL"				):
		__SCREAMING_SNAKE_CASE            = f"https://in.finance.yahoo.com/quote/{symbol}?s={symbol}"
		__SCREAMING_SNAKE_CASE            = BeautifulSoup(requests.get(UpperCamelCase_				).text  ,				"""html.parser"""				)
		__SCREAMING_SNAKE_CASE            = """My(6px) Pos(r) smartphone_Mt(6px)"""
		return soup.find("""div"""  ,				class_=class_				).find("""span"""				).text


if __name__ == "__main__":
							for symbol in "AAPL AMZN IBM GOOG MSFT ORCL".split():
														print(F"""Current {symbol:<4} stock price is {stock_price(symbol):>8}""")




