



import requests

snake_case    :						int  =						''  # <-- Put your OpenWeatherMap appid here!
snake_case    :						int  =						'https://api.openweathermap.org/data/2.5/'
def 	snake_case__       (					__lowercase = "Chicago"							,     __lowercase = APPID       )		->		dict:







						"""simple docstring"""

						return requests.get(URL_BASE + "weather"							,     params=locals()       ).json()
def 	snake_case__       (					__lowercase = "Kolkata, India"							,     __lowercase = APPID       )		->		dict:







						"""simple docstring"""

						return requests.get(URL_BASE + "forecast"							,     params=locals()       ).json()
def 	snake_case__       (					__lowercase = 55.68							,     __lowercase = 12.57							,     __lowercase = APPID       )		->		dict:







						"""simple docstring"""

						return requests.get(URL_BASE + "onecall"							,     params=locals()       ).json()


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

		while True:
				snake_case    :						int  =						input('Enter a location:').strip()
				if location:
						pprint(current_weather(location))
				else:
						break




from unittest import TestCase

from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset




class 							lowerCAmelCase__  (	UpperCamelCase						):







					def  _lowercase			(       self      :     List[Any]):
											return [
											    {"col_1": 3, "col_2": "a"},
											    {"col_1": 2, "col_2": "b"},
											    {"col_1": 1, "col_2": "c"},
											    {"col_1": 0, "col_2": "d"},
											]







					def  _lowercase			(       self      :     Tuple):
											A__	:							Any						    = {"col_1": [3, 2, 1, 0], "col_2": ["a", "b", "c", "d"]}
											return Dataset.from_dict(_A)







					def  _lowercase			(       self      :     Union[str, Any]):
											A__	:							str						    = self._create_example_records()
											A__	:							Dict						    = Dataset.from_list(_A)
											self.assertListEqual(dset.column_names			,		["col_1", "col_2"])
											for i, r in enumerate(_A):
																	self.assertDictEqual(_A			,		example_records[i])







					def  _lowercase			(       self      :     List[str]):
											A__	:							List[str]						    = self._create_example_records()
											A__	:							Any						    = Dataset.from_list(_A)
											A__	:							Optional[int]						    = Dataset.from_dict({k: [r[k] for r in example_records] for k in example_records[0]})
											self.assertEqual(dset.info			,		dset_from_dict.info)







					def  _lowercase			(       self      :     Any):  # checks what happens with missing columns
											A__	:							Dict						    = [{"col_1": 1}, {"col_2": "x"}]
											A__	:							Any						    = Dataset.from_list(_A)
											self.assertDictEqual(dset[0]			,		{"col_1": 1})
											self.assertDictEqual(dset[1]			,		{"col_1": None})  # NB: first record is used for columns







					def  _lowercase			(       self      :     str):  # checks if the type can be inferred from the second record
											A__	:							Dict						    = [{"col_1": []}, {"col_1": [1, 2]}]
											A__	:							Dict						    = Dataset.from_list(_A)
											self.assertEqual(dset.info.features["col_1"]			,		Sequence(Value("int64")))







					def  _lowercase			(       self      :     Union[str, Any]):
											A__	:							Dict						    = Dataset.from_list([])
											self.assertEqual(len(_A)			,		0)
											self.assertListEqual(dset.column_names			,		[])