




"""simple docstring"""







import requests

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





def      __snake_case (				_lowercase = "Chicago"			,_lowercase = APPID    ):


    """simple docstring"""







    return requests.get(URL_BASE + '''weather'''			,params=locals()    ).json()





def      __snake_case (				_lowercase = "Kolkata, India"			,_lowercase = APPID    ):


    """simple docstring"""







    return requests.get(URL_BASE + '''forecast'''			,params=locals()    ).json()





def      __snake_case (				_lowercase = 55.68			,_lowercase = 12.57			,_lowercase = APPID    ):


    """simple docstring"""







    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






_lowercase		:  Optional[Any]			       ="""
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

_lowercase		:  Union[str, Any]			       =[{"""type""": """code""", """content""": INSTALL_CONTENT}]
_lowercase		:  List[Any]			       ={
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}
