
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


_lowerCamelCase	:    str          =      logging.get_logger(__name__)

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

_lowerCamelCase	:    Optional[int]          =      {
    '''vocab_file''': {
        '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt''',
        '''distilbert-base-uncased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt'''
        ),
        '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt''',
        '''distilbert-base-cased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt'''
        ),
        '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt''',
        '''distilbert-base-multilingual-cased''': (
            '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json''',
        '''distilbert-base-uncased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json'''
        ),
        '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json''',
        '''distilbert-base-cased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json'''
        ),
        '''distilbert-base-german-cased''': (
            '''https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json'''
        ),
        '''distilbert-base-multilingual-cased''': (
            '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json'''
        ),
    },
}

_lowerCamelCase	:    List[str]          =      {
    '''distilbert-base-uncased''': 512,
    '''distilbert-base-uncased-distilled-squad''': 512,
    '''distilbert-base-cased''': 512,
    '''distilbert-base-cased-distilled-squad''': 512,
    '''distilbert-base-german-cased''': 512,
    '''distilbert-base-multilingual-cased''': 512,
}


_lowerCamelCase	:    Optional[int]          =      {
    '''distilbert-base-uncased''': {'''do_lower_case''': True},
    '''distilbert-base-uncased-distilled-squad''': {'''do_lower_case''': True},
    '''distilbert-base-cased''': {'''do_lower_case''': False},
    '''distilbert-base-cased-distilled-squad''': {'''do_lower_case''': False},
    '''distilbert-base-german-cased''': {'''do_lower_case''': False},
    '''distilbert-base-multilingual-cased''': {'''do_lower_case''': False},
}




class        SCREAMING_SNAKE_CASE__					(     UpperCAmelCase ):





	'''simple docstring'''



	_UpperCAmelCase	:		Any          = VOCAB_FILES_NAMES
	_UpperCAmelCase	:		Optional[Any]          = PRETRAINED_VOCAB_FILES_MAP
	_UpperCAmelCase	:		str          = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_UpperCAmelCase	:		List[str]          = PRETRAINED_INIT_CONFIGURATION
	_UpperCAmelCase	:		List[Any]          = ["input_ids", "attention_mask"]
	_UpperCAmelCase	:		Union[str, Any]          = DistilBertTokenizer



	def __init__(  self     :   Any      ,  lowercase     :   Tuple=None      ,  lowercase     :   int=None      ,  lowercase     :   Optional[int]=True      ,  lowercase     :   List[str]="[UNK]"      ,  lowercase     :   str="[SEP]"      ,  lowercase     :   Optional[int]="[PAD]"      ,  lowercase     :   str="[CLS]"      ,  lowercase     :   Optional[int]="[MASK]"      ,  lowercase     :   Union[str, Any]=True      ,  lowercase     :   Optional[Any]=None      ,  **lowercase     :   Optional[Any]      ,  ):


				'''simple docstring'''


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

				_snake_case          =      json.loads(self.backend_tokenizer.normalizer.__getstate__()     )
				if (
				    normalizer_state.get('lowercase'      ,  lowercase     ) != do_lower_case
				    or normalizer_state.get('strip_accents'      ,  lowercase     ) != strip_accents
				    or normalizer_state.get('handle_chinese_chars'      ,  lowercase     ) != tokenize_chinese_chars
				):
							_snake_case          =      getattr(lowercase      ,  normalizer_state.pop('type'     )     )
							_snake_case          =      do_lower_case
							_snake_case          =      strip_accents
							_snake_case          =      tokenize_chinese_chars
							_snake_case          =      normalizer_class(**lowercase     )

				_snake_case          =      do_lower_case



	def 			A							(  self     :   Any      ,  lowercase     :   Tuple      ,  lowercase     :   Optional[Any]=None     ):


				'''simple docstring'''


				_snake_case          =      [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 			A							(  self     :   Any      ,  lowercase     :   List[int]      ,  lowercase     :   Optional[List[int]] = None     ):


				'''simple docstring'''


				_snake_case          =      [self.sep_token_id]
				_snake_case          =      [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 			A							(  self     :   Dict      ,  lowercase     :   str      ,  lowercase     :   Optional[str] = None     ):


				'''simple docstring'''


				_snake_case          =      self._tokenizer.model.save(lowercase      ,  name=lowercase     )
				return tuple(lowercase     )

from __future__ import annotations

import requests

_lowerCamelCase	:    List[str]          =      set(
    '''approved_at_utc approved_by author_flair_background_color
author_flair_css_class author_flair_richtext author_flair_template_id author_fullname
author_premium can_mod_post category clicked content_categories created_utc downs
edited gilded gildings hidden hide_score is_created_from_ads_ui is_meta
is_original_content is_reddit_media_domain is_video link_flair_css_class
link_flair_richtext link_flair_text link_flair_text_color media_embed mod_reason_title
name permalink pwls quarantine saved score secure_media secure_media_embed selftext
subreddit subreddit_name_prefixed subreddit_type thumbnail title top_awarded_type
total_awards_received ups upvote_ratio url user_reports'''.split()
)






def 	a_		(	__lowercase       :     str	, __lowercase       :     int = 1	, __lowercase       :     str = "new"	, __lowercase       :     list | None = None			)			->  dict:
			_snake_case          =      wanted_data or []
			if invalid_search_terms := ", ".join(sorted(set(__lowercase			) - valid_terms			)			):
						_snake_case          =      f'''Invalid search term: {invalid_search_terms}'''
						raise ValueError(__lowercase			)
			_snake_case          =      requests.get(
			    f'''https://reddit.com/r/{subreddit}/{age}.json?limit={limit}'''	, headers={'User-agent': 'A random string'}	, )
			if response.status_code == 429:
						raise requests.HTTPError

			_snake_case          =      response.json()
			if not wanted_data:
						return {id_: data["data"]["children"][id_] for id_ in range(__lowercase			)}

			_snake_case          =      {}
			for id_ in range(__lowercase			):
						_snake_case          =      {
						    item: data['data']['children'][id_]['data'][item] for item in wanted_data
						}
			return data_dict


if __name__ == "__main__":
			# If you get Error 429, that means you are rate limited.Try after some time
			print(get_subreddit_data('''learnpython''', wanted_data=['''title''', '''url''', '''selftext''']))