import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_layoutlm import LayoutLMTokenizer


UpperCAmelCase      		=					logging.get_logger(__name__)

UpperCAmelCase      		=					{'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCAmelCase      		=					{
    '''vocab_file''': {
        '''microsoft/layoutlm-base-uncased''': (
            '''https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/vocab.txt'''
        ),
        '''microsoft/layoutlm-large-uncased''': (
            '''https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/vocab.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''microsoft/layoutlm-base-uncased''': (
            '''https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/tokenizer.json'''
        ),
        '''microsoft/layoutlm-large-uncased''': (
            '''https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/tokenizer.json'''
        ),
    },
}

UpperCAmelCase      		=					{
    '''microsoft/layoutlm-base-uncased''': 5_12,
    '''microsoft/layoutlm-large-uncased''': 5_12,
}

UpperCAmelCase      		=					{
    '''microsoft/layoutlm-base-uncased''': {'''do_lower_case''': True},
    '''microsoft/layoutlm-large-uncased''': {'''do_lower_case''': True},
}




class  __lowerCAmelCase	(							a_    ):



 '''simple docstring'''
 _lowerCamelCase    :						Tuple					     =			VOCAB_FILES_NAMES
 _lowerCamelCase    :						Tuple					     =			PRETRAINED_VOCAB_FILES_MAP
 _lowerCamelCase    :						Tuple					     =			PRETRAINED_INIT_CONFIGURATION
 _lowerCamelCase    :						Dict					     =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCamelCase    :						Dict					     =			LayoutLMTokenizer

 def __init__(      self							:		Dict							,      lowerCamelCase							:		Tuple=None							,      lowerCamelCase							:		Optional[int]=None							,      lowerCamelCase							:		Union[str, Any]=True							,      lowerCamelCase							:		Dict="[UNK]"							,      lowerCamelCase							:		Any="[SEP]"							,      lowerCamelCase							:		Optional[Any]="[PAD]"							,      lowerCamelCase							:		str="[CLS]"							,      lowerCamelCase							:		Any="[MASK]"							,      lowerCamelCase							:		Union[str, Any]=True							,      lowerCamelCase							:		Union[str, Any]=None							,      **lowerCamelCase							:		Optional[Any]							,      )			->				Dict:
        super().__init__(
            lowerCamelCase							,      tokenizer_file=lowerCamelCase							,      do_lower_case=lowerCamelCase							,      unk_token=lowerCamelCase							,      sep_token=lowerCamelCase							,      pad_token=lowerCamelCase							,      cls_token=lowerCamelCase							,      mask_token=lowerCamelCase							,      tokenize_chinese_chars=lowerCamelCase							,      strip_accents=lowerCamelCase							,      **lowerCamelCase							,      )

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

        _UpperCamelCase  :							Optional[int]	    =	do_lower_case

 def        __snake_case       (      self							:		Dict							,      lowerCamelCase							:		int							,      lowerCamelCase							:		List[Any]=None	)			->				str:
        _UpperCamelCase  :							Tuple	    =	[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							:		Optional[Any]							,      lowerCamelCase							:		List[int]							,      lowerCamelCase							:		Optional[List[int]] = None	)			->				List[int]:
        _UpperCamelCase  :							Union[str, Any]	    =	[self.sep_token_id]
        _UpperCamelCase  :							Dict	    =	[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							:		List[str]							,      lowerCamelCase							:		str							,      lowerCamelCase							:		Optional[str] = None	)			->				Tuple[str]:
        _UpperCamelCase  :							int	    =	self._tokenizer.model.save(lowerCamelCase							,      name=lowerCamelCase	)
        return tuple(lowerCamelCase	)








"""simple docstring"""


import shutil

import requests

def 					_lowerCAmelCase (  lowercase_						,      lowercase_ = False						,      lowercase_ = "."		):
						UpperCAmelCase			 =					'https://api.nasa.gov/planetary/apod'
						return requests.get(lowercase_						,      params={'api_key': api_key}		).json()

def 					_lowerCAmelCase (  lowercase_						,      lowercase_ = "."		):
						UpperCAmelCase			 =					get_apod_data(lowercase_		)
						UpperCAmelCase			 =					apod_data['url']
						UpperCAmelCase			 =					img_url.split('/'		)[-1]
						UpperCAmelCase			 =					requests.get(lowercase_						,      stream=lowercase_		)

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

def 					_lowerCAmelCase (  lowercase_		):
						UpperCAmelCase			 =					'https://images-api.nasa.gov/search'
						return requests.get(lowercase_						,      params={'q': query}		).json()


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





