





import requests

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






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






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






def       _A  (      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__       :			str			      =						input("""Enter a location:""").strip()
    if location:
      pprint(current_weather(location))
    else:
      break










import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_lxmert import LxmertTokenizer


SCREAMING_SNAKE_CASE__       :			Optional[Any]			      =						{"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE__       :			List[Any]			      =						{
    """vocab_file""": {
        """unc-nlp/lxmert-base-uncased""": """https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/vocab.txt""",
    },
    """tokenizer_file""": {
        """unc-nlp/lxmert-base-uncased""": (
            """https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/tokenizer.json"""
        ),
    },
}

SCREAMING_SNAKE_CASE__       :			Any			      =						{
    """unc-nlp/lxmert-base-uncased""": 5_1_2,
}

SCREAMING_SNAKE_CASE__       :			Optional[int]			      =						{
    """unc-nlp/lxmert-base-uncased""": {"""do_lower_case""": True},
}







class   __lowerCAmelCase			(					_UpperCamelCase  ):
   _UpperCamelCase :						List[str]     		=				VOCAB_FILES_NAMES
   _UpperCamelCase :						str     		=				PRETRAINED_VOCAB_FILES_MAP
   _UpperCamelCase :						List[str]     		=				PRETRAINED_INIT_CONFIGURATION
   _UpperCamelCase :						Optional[int]     		=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _UpperCamelCase :						Optional[Any]     		=				LxmertTokenizer





   def __init__( self					,			snake_case=None					,			snake_case=None					,			snake_case=True					,			snake_case="[UNK]"					,			snake_case="[SEP]"					,			snake_case="[PAD]"					,			snake_case="[CLS]"					,			snake_case="[MASK]"					,			snake_case=True					,			snake_case=None					,			**snake_case					,			)				->  Any:
      """simple docstring"""





      super().__init__(
          snake_case					,			tokenizer_file=snake_case					,			do_lower_case=snake_case					,			unk_token=snake_case					,			sep_token=snake_case					,			pad_token=snake_case					,			cls_token=snake_case					,			mask_token=snake_case					,			tokenize_chinese_chars=snake_case					,			strip_accents=snake_case					,			**snake_case					,			)

      a__	:						Optional[Any]      		=  json.loads(self.backend_tokenizer.normalizer.__getstate__()      )
      if (
          normalizer_state.get("lowercase"					,			snake_case      ) != do_lower_case
          or normalizer_state.get("strip_accents"					,			snake_case      ) != strip_accents
          or normalizer_state.get("handle_chinese_chars"					,			snake_case      ) != tokenize_chinese_chars
      ):
         a__	:						str      		=  getattr(snake_case					,			normalizer_state.pop("type"      )      )
         a__	:						Tuple      		=  do_lower_case
         a__	:						Union[str, Any]      		=  strip_accents
         a__	:						str      		=  tokenize_chinese_chars
         a__	:						List[str]      		=  normalizer_class(**snake_case      )

      a__	:						str      		=  do_lower_case





   def 	_snake_case ( self					,			snake_case					,			snake_case=None      )				->  List[str]:
      """simple docstring"""





      a__	:						Optional[int]      		=  [self.cls_token_id] + token_ids_a + [self.sep_token_id]

      if token_ids_a:
         output += token_ids_a + [self.sep_token_id]

      return output





   def 	_snake_case ( self					,			snake_case					,			snake_case = None      )				->  List[int]:
      """simple docstring"""





      a__	:						Tuple      		=  [self.sep_token_id]
      a__	:						str      		=  [self.cls_token_id]
      if token_ids_a is None:
         return len(cls + token_ids_a + sep      ) * [0]
      return len(cls + token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1]





   def 	_snake_case ( self					,			snake_case					,			snake_case = None      )				->  Tuple[str]:
      """simple docstring"""





      a__	:						Optional[int]      		=  self._tokenizer.model.save(snake_case					,			name=snake_case      )
      return tuple(snake_case      )

