

'''simple docstring'''







import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation


__lowerCamelCase						    =      logging.get_logger(__name__)

__lowerCamelCase						    =      {'''tokenizer_file''': '''tokenizer.json'''}

__lowerCamelCase						    =      {
    '''tokenizer_file''': {
        '''bigscience/tokenizer''': '''https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json''',
        '''bigscience/bloom-560m''': '''https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b1''': '''https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b7''': '''https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json''',
        '''bigscience/bloom-3b''': '''https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json''',
        '''bigscience/bloom-7b1''': '''https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json''',
        '''bigscience/bloom''': '''https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json''',
    },
}


class    A__ ( _snake_case     ):
    lowercase		   =						VOCAB_FILES_NAMES
    lowercase		   =						PRETRAINED_VOCAB_FILES_MAP
    lowercase		   =						["input_ids", "attention_mask"]
    lowercase		   =						None



    def __init__(   self						,			UpperCamelCase__=None						,			UpperCamelCase__=None						,			UpperCamelCase__=None						,			UpperCamelCase__="<unk>"						,			UpperCamelCase__="<s>"						,			UpperCamelCase__="</s>"						,			UpperCamelCase__="<pad>"						,			UpperCamelCase__=False						,			UpperCamelCase__=False						,			**UpperCamelCase__						,			)  -> Optional[Any]:





           '''simple docstring'''
           super().__init__(
               UpperCamelCase__						,			UpperCamelCase__						,			tokenizer_file=UpperCamelCase__						,			unk_token=UpperCamelCase__						,			bos_token=UpperCamelCase__						,			eos_token=UpperCamelCase__						,			pad_token=UpperCamelCase__						,			add_prefix_space=UpperCamelCase__						,			clean_up_tokenization_spaces=UpperCamelCase__						,			**UpperCamelCase__						,			)
           A_		   = json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()    )
           if pre_tok_state.get("""add_prefix_space"""						,			UpperCamelCase__    ) != add_prefix_space:
                  A_		   = getattr(UpperCamelCase__						,			pre_tok_state.pop("""type"""    )    )
                  A_		   = add_prefix_space
                  A_		   = pre_tok_class(**UpperCamelCase__    )

           A_		   = add_prefix_space



    def    snake_case_     (   self						,			*UpperCamelCase__						,			**UpperCamelCase__    )  -> BatchEncoding:





           '''simple docstring'''
           A_		   = kwargs.get("""is_split_into_words"""						,			UpperCamelCase__    )
           if not (self.add_prefix_space or not is_split_into_words):
                  raise Exception(
                      f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
                      """ pretokenized inputs."""    )

           return super()._batch_encode_plus(*UpperCamelCase__						,			**UpperCamelCase__    )



    def    snake_case_     (   self						,			*UpperCamelCase__						,			**UpperCamelCase__    )  -> BatchEncoding:





           '''simple docstring'''
           A_		   = kwargs.get("""is_split_into_words"""						,			UpperCamelCase__    )

           if not (self.add_prefix_space or not is_split_into_words):
                  raise Exception(
                      f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
                      """ pretokenized inputs."""    )

           return super()._encode_plus(*UpperCamelCase__						,			**UpperCamelCase__    )



    def    snake_case_     (   self						,			UpperCamelCase__						,			UpperCamelCase__ = None    )  -> Tuple[str]:





           '''simple docstring'''
           A_		   = self._tokenizer.model.save(UpperCamelCase__						,			name=UpperCamelCase__    )
           return tuple(UpperCamelCase__    )







    def    snake_case_     (   self						,			UpperCamelCase__    )  -> List[int]:





           '''simple docstring'''
           A_		   = []
           for is_user, text in conversation.iter_texts():
                  input_ids.extend(self.encode(UpperCamelCase__						,			add_special_tokens=UpperCamelCase__    ) + [self.eos_token_id]    )

           if len(UpperCamelCase__    ) > self.model_max_length:
                  A_		   = input_ids[-self.model_max_length :]
           return input_ids



'''simple docstring'''







import requests

__lowerCamelCase						    =      ''''''  # <-- Put your OpenWeatherMap appid here!
__lowerCamelCase						    =      '''https://api.openweathermap.org/data/2.5/'''
def  UpperCAmelCase__      ( UpperCAmelCase__ = "Chicago",    UpperCAmelCase__ = APPID			)     ->     dict:
       return requests.get(URL_BASE + """weather""",    params=locals()			).json()
def  UpperCAmelCase__      ( UpperCAmelCase__ = "Kolkata, India",    UpperCAmelCase__ = APPID			)     ->     dict:
       return requests.get(URL_BASE + """forecast""",    params=locals()			).json()
def  UpperCAmelCase__      ( UpperCAmelCase__ = 55.68,    UpperCAmelCase__ = 12.57,    UpperCAmelCase__ = APPID			)     ->     dict:
       return requests.get(URL_BASE + """onecall""",    params=locals()			).json()


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

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