



from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case    :						Optional[Any]  =						logging.get_logger(__name__)

snake_case    :						Tuple  =						{
    'EleutherAI/gpt-neox-20b': 'https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json',
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}




class 							lowerCAmelCase__  (	UpperCamelCase						):
					__A     :    Optional[int]           =						'gpt_neox'







					def __init__(       self      :     Any			,		_A      :     int=5_0432			,		_A      :     Optional[int]=6144			,		_A      :     List[str]=44			,		_A      :     List[str]=64			,		_A      :     str=2_4576			,		_A      :     Union[str, Any]="gelu"			,		_A      :     Optional[int]=0.25			,		_A      :     List[Any]=1_0000			,		_A      :     List[Any]=0.0			,		_A      :     Union[str, Any]=0.0			,		_A      :     Optional[Any]=0.1			,		_A      :     Dict=2048			,		_A      :     int=0.02			,		_A      :     Union[str, Any]=1e-5			,		_A      :     Any=True			,		_A      :     Union[str, Any]=0			,		_A      :     Any=2			,		_A      :     Any=False			,		_A      :     Tuple=True			,		_A      :     Any=None			,		**_A      :     Any			,		):
											super().__init__(bos_token_id=_A			,		eos_token_id=_A			,		**_A)
											A__	:							List[Any]						    = vocab_size
											A__	:							str						    = max_position_embeddings
											A__	:							Union[str, Any]						    = hidden_size
											A__	:							int						    = num_hidden_layers
											A__	:							Union[str, Any]						    = num_attention_heads
											A__	:							Optional[int]						    = intermediate_size
											A__	:							Any						    = hidden_act
											A__	:							Optional[int]						    = rotary_pct
											A__	:							Any						    = rotary_emb_base
											A__	:							Optional[Any]						    = attention_dropout
											A__	:							Union[str, Any]						    = hidden_dropout
											A__	:							Union[str, Any]						    = classifier_dropout
											A__	:							List[str]						    = initializer_range
											A__	:							Optional[Any]						    = layer_norm_eps
											A__	:							Optional[int]						    = use_cache
											A__	:							Tuple						    = tie_word_embeddings
											A__	:							Optional[Any]						    = use_parallel_residual
											A__	:							List[str]						    = rope_scaling
											self._rope_scaling_validation()

											if self.hidden_size % self.num_attention_heads != 0:
																	raise ValueError(
																	    "The hidden size is not divisble by the number of attention heads! Make sure to update them!")







					def  _lowercase			(       self      :     Optional[Any]):
											if self.rope_scaling is None:
																	return

											if not isinstance(self.rope_scaling			,		_A) or len(self.rope_scaling) != 2:
																	raise ValueError(
																	    "`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, "
																	    F'got {self.rope_scaling}')
											A__	:							str						    = self.rope_scaling.get("type"			,		_A)
											A__	:							Union[str, Any]						    = self.rope_scaling.get("factor"			,		_A)
											if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
																	raise ValueError(
																	    F'`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}')
											if rope_scaling_factor is None or not isinstance(_A			,		_A) or rope_scaling_factor <= 1.0:
																	raise ValueError(F'`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}')




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