
"""simple docstring"""




import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
    from .tokenization_reformer import ReformerTokenizer
else:
    a		:					Optional[Any]    	=					None


a		:					Tuple    	=					logging.get_logger(__name__)


a		:					Tuple    	=					'▁'

a		:					int    	=					{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

a		:					List[Any]    	=					{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    },
    'tokenizer_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'
        )
    },
}

a		:					Union[str, Any]    	=					{
    'google/reformer-crime-and-punishment': 52_42_88,
}







class 						lowercase(_lowercase					):
     __snake_case:  str  				=    VOCAB_FILES_NAMES
     __snake_case:  Dict  				=    PRETRAINED_VOCAB_FILES_MAP
     __snake_case:  Union[str, Any]  				=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __snake_case:  List[str]  				=    ['input_ids', 'attention_mask']
     __snake_case:  Any  				=    ReformerTokenizer



     def __init__(       self    ,							__SCREAMING_SNAKE_CASE=None    ,							__SCREAMING_SNAKE_CASE=None    ,							__SCREAMING_SNAKE_CASE="</s>"    ,							__SCREAMING_SNAKE_CASE="<unk>"    ,							__SCREAMING_SNAKE_CASE=[]    ,							**__SCREAMING_SNAKE_CASE    ,							)		->    Dict:







         """simple docstring"""



         super().__init__(
             __SCREAMING_SNAKE_CASE    ,							tokenizer_file=__SCREAMING_SNAKE_CASE    ,							eos_token=__SCREAMING_SNAKE_CASE    ,							unk_token=__SCREAMING_SNAKE_CASE    ,							additional_special_tokens=__SCREAMING_SNAKE_CASE    ,							**__SCREAMING_SNAKE_CASE    ,							)

         a__    = vocab_file
         a__    = False if not self.vocab_file else True




     def  lowercase__     (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = None      )		->    Tuple[str]:







         """simple docstring"""



         if not self.can_save_slow_tokenizer:
             raise ValueError(
                 'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
                 'tokenizer.'      )

         if not os.path.isdir(__SCREAMING_SNAKE_CASE      ):
             logger.error(f'Vocabulary path ({save_directory}) should be a directory'      )
             return
         a__    = os.path.join(
             __SCREAMING_SNAKE_CASE    ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )

         if os.path.abspath(self.vocab_file      ) != os.path.abspath(__SCREAMING_SNAKE_CASE      ):
             copyfile(self.vocab_file    ,							__SCREAMING_SNAKE_CASE      )

         return (out_vocab_file,)




"""simple docstring"""




import shutil

import requests



def 						__magic_name__		(				UpperCamelCase    :		str       ,		UpperCamelCase    :		bool = False       ,		UpperCamelCase    :		str = "."    )    ->	dict:
    a__    = 'https://api.nasa.gov/planetary/apod'
    return requests.get(UpperCamelCase       ,		params={'api_key': api_key}    ).json()



def 						__magic_name__		(				UpperCamelCase    :		str       ,		UpperCamelCase    :		str = "."    )    ->	dict:
    a__    = get_apod_data(UpperCamelCase    )
    a__    = apod_data['url']
    a__    = img_url.split('/'    )[-1]
    a__    = requests.get(UpperCamelCase       ,		stream=UpperCamelCase    )

    with open(f'{path}/{img_name}'       ,		'wb+'    ) as img_file:
        shutil.copyfileobj(response.raw       ,		UpperCamelCase    )
    del response
    return apod_data



def 						__magic_name__		(				UpperCamelCase    :		str    )    ->	dict:
    a__    = 'https://images-api.nasa.gov/search'
    return requests.get(UpperCamelCase       ,		params={'q': query}    ).json()


if __name__ == "__main__":
    print(save_apod('YOUR API KEY'))
    a		:					List[Any]    	=					get_archive_data('apollo 2011')['collection']['items']
    print(apollo_aaaa_items[0]['data'][0]['description'])


