




"""simple docstring"""
import shutil
import tempfile
import unittest

from transformers import ClapFeatureExtractor, ClapProcessor, RobertaTokenizer, RobertaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torchaudio

from .test_feature_extraction_clap import floats_list

@require_torchaudio
@require_sentencepiece
class __lowercase(      unittest.TestCase				):




					'''simple docstring'''


					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[Any]	       =				'laion/clap-htsat-unfused'
								__lowerCamelCase					:	Tuple	       =				tempfile.mkdtemp()
					def     snake_case_				(    self						,	**__a     ):
								return RobertaTokenizer.from_pretrained(self.checkpoint						,	**__a     )
					def     snake_case_				(    self						,	**__a     ):
								return ClapFeatureExtractor.from_pretrained(self.checkpoint						,	**__a     )
					def     snake_case_				(    self     ):
								shutil.rmtree(self.tmpdirname     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Optional[Any]	       =				self.get_tokenizer()
								__lowerCamelCase					:	Optional[Any]	       =				self.get_feature_extractor()

								__lowerCamelCase					:	Union[str, Any]	       =				ClapProcessor(tokenizer=__a						,	feature_extractor=__a     )

								processor.save_pretrained(self.tmpdirname     )
								__lowerCamelCase					:	Any	       =				ClapProcessor.from_pretrained(self.tmpdirname     )

								self.assertEqual(processor.tokenizer.get_vocab()						,	tokenizer.get_vocab()     )
								self.assertIsInstance(processor.tokenizer						,	__a     )

								self.assertEqual(processor.feature_extractor.to_json_string()						,	feature_extractor.to_json_string()     )
								self.assertIsInstance(processor.feature_extractor						,	__a     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Tuple	       =				ClapProcessor(tokenizer=self.get_tokenizer()						,	feature_extractor=self.get_feature_extractor()     )
								processor.save_pretrained(self.tmpdirname     )

								__lowerCamelCase					:	Optional[Any]	       =				self.get_tokenizer(bos_token='(BOS)'						,	eos_token='(EOS)'     )
								__lowerCamelCase					:	Tuple	       =				self.get_feature_extractor(do_normalize=__a						,	padding_value=1.0     )

								__lowerCamelCase					:	int	       =				ClapProcessor.from_pretrained(
								    self.tmpdirname						,	bos_token='(BOS)'						,	eos_token='(EOS)'						,	do_normalize=__a						,	padding_value=1.0     )

								self.assertEqual(processor.tokenizer.get_vocab()						,	tokenizer_add_kwargs.get_vocab()     )
								self.assertIsInstance(processor.tokenizer						,	__a     )

								self.assertEqual(processor.feature_extractor.to_json_string()						,	feature_extractor_add_kwargs.to_json_string()     )
								self.assertIsInstance(processor.feature_extractor						,	__a     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Tuple	       =				self.get_feature_extractor()
								__lowerCamelCase					:	str	       =				self.get_tokenizer()

								__lowerCamelCase					:	str	       =				ClapProcessor(tokenizer=__a						,	feature_extractor=__a     )

								__lowerCamelCase					:	Optional[int]	       =				floats_list((3, 1000)     )

								__lowerCamelCase					:	Optional[Any]	       =				feature_extractor(__a						,	return_tensors='np'     )
								__lowerCamelCase					:	Union[str, Any]	       =				processor(audios=__a						,	return_tensors='np'     )

								for key in input_feat_extract.keys():
											self.assertAlmostEqual(input_feat_extract[key].sum()						,	input_processor[key].sum()						,	delta=1E-2     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[str]	       =				self.get_feature_extractor()
								__lowerCamelCase					:	Tuple	       =				self.get_tokenizer()

								__lowerCamelCase					:	Tuple	       =				ClapProcessor(tokenizer=__a						,	feature_extractor=__a     )

								__lowerCamelCase					:	List[str]	       =				'This is a test string'

								__lowerCamelCase					:	Union[str, Any]	       =				processor(text=__a     )

								__lowerCamelCase					:	Tuple	       =				tokenizer(__a     )

								for key in encoded_tok.keys():
											self.assertListEqual(encoded_tok[key]						,	encoded_processor[key]     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Any	       =				self.get_feature_extractor()
								__lowerCamelCase					:	Union[str, Any]	       =				self.get_tokenizer()

								__lowerCamelCase					:	Tuple	       =				ClapProcessor(tokenizer=__a						,	feature_extractor=__a     )

								__lowerCamelCase					:	Optional[Any]	       =				[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

								__lowerCamelCase					:	List[Any]	       =				processor.batch_decode(__a     )
								__lowerCamelCase					:	List[Any]	       =				tokenizer.batch_decode(__a     )

								self.assertListEqual(__a						,	__a     )





					def     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				self.get_feature_extractor()
								__lowerCamelCase					:	Dict	       =				self.get_tokenizer()

								__lowerCamelCase					:	Tuple	       =				ClapProcessor(tokenizer=__a						,	feature_extractor=__a     )

								self.assertListEqual(
								    processor.model_input_names[2:]						,	feature_extractor.model_input_names						,	msg='`processor` and `feature_extractor` model input names do not match'						,	)









"""simple docstring"""
import requests

a_				:    Optional[Any]										=     ''''''  # <-- Put your OpenWeatherMap appid here!
a_				:    str										=     '''https://api.openweathermap.org/data/2.5/'''





def 						UpperCAmelCase				(			A__:    str = "Chicago"							,				A__:    str = APPID     )  ->     dict:
			return requests.get(URL_BASE + 'weather'							,				params=locals()     ).json()





def 						UpperCAmelCase				(			A__:    str = "Kolkata, India"							,				A__:    str = APPID     )  ->     dict:
			return requests.get(URL_BASE + 'forecast'							,				params=locals()     ).json()





def 						UpperCAmelCase				(			A__:    float = 55.68							,				A__:    float = 12.57							,				A__:    str = APPID     )  ->     dict:
			return requests.get(URL_BASE + 'onecall'							,				params=locals()     ).json()


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

					while True:
										a_				:    List[Any]										=     input('''Enter a location:''').strip()
										if location:
															pprint(current_weather(location))
										else:
															break



