



'''simple docstring'''





import requests

__SCREAMING_SNAKE_CASE           =  """"""  # <-- Put your OpenWeatherMap appid here!
__SCREAMING_SNAKE_CASE           =  """https://api.openweathermap.org/data/2.5/"""




def 	UpperCAmelCase   (						_lowerCamelCase = "Chicago" ,    _lowerCamelCase = APPID    ):
			return requests.get(URL_BASE + "weather" ,    params=locals()    ).json()




def 	UpperCAmelCase   (						_lowerCamelCase = "Kolkata, India" ,    _lowerCamelCase = APPID    ):
			return requests.get(URL_BASE + "forecast" ,    params=locals()    ).json()




def 	UpperCAmelCase   (						_lowerCamelCase = 55.68 ,    _lowerCamelCase = 12.57 ,    _lowerCamelCase = APPID    ):
			return requests.get(URL_BASE + "onecall" ,    params=locals()    ).json()


if __name__ == "__main__":
							from pprint import pprint

							while True:
														__SCREAMING_SNAKE_CASE           =  input("""Enter a location:""").strip()
														if location:
																					pprint(current_weather(location))
														else:
																					break




from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Sequence, Value
from .base import TaskTemplate

@dataclass(frozen=_A						)
class 	lowerCamelCase_    ( _A						):






						'''simple docstring'''
						# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
						a__   =  field(default="question-answering-extractive"						,metadata={"include_in_asdict_even_if_is_default": True}						)
						a__   =  Features({"question": Value("string"						), "context": Value("string"						)}						)
						a__   =  Features(
						    {
						        "answers": Sequence(
						            {
						                "text": Value("string"						),
						                "answer_start": Value("int32"						),
						            }						)
						    }						)
						a__   =  "question"
						a__   =  "context"
						a__   =  "answers"







						@property
						def 			SCREAMING_SNAKE_CASE__		(	self      :			Union[str, Any] )      ->				Dict[str, str]:
									return {self.question_column: "question", self.context_column: "context", self.answers_column: "answers"}