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


UpperCAmelCase_           =				logging.get_logger(__name__)

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

UpperCAmelCase_           =				{
    '''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'''
        ),
    },
}

UpperCAmelCase_           =				{
    '''distilbert-base-uncased''': 5_1_2,
    '''distilbert-base-uncased-distilled-squad''': 5_1_2,
    '''distilbert-base-cased''': 5_1_2,
    '''distilbert-base-cased-distilled-squad''': 5_1_2,
    '''distilbert-base-german-cased''': 5_1_2,
    '''distilbert-base-multilingual-cased''': 5_1_2,
}


UpperCAmelCase_           =				{
    '''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 			__magic_name__	(		__a     ):





   """simple docstring"""




   lowerCAmelCase   :     Tuple	      = VOCAB_FILES_NAMES
   lowerCAmelCase   :     Optional[Any]	      = PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase   :     List[Any]	      = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCAmelCase   :     int	      = PRETRAINED_INIT_CONFIGURATION
   lowerCAmelCase   :     List[Any]	      = ['''input_ids''', '''attention_mask''']
   lowerCAmelCase   :     int	      = DistilBertTokenizer



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



    """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		,	)

    _UpperCamelCase:  Optional[int]    						=			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
    ):
     _UpperCamelCase:  str    						=			getattr(_lowercase		,	normalizer_state.pop('''type'''				)				)
     _UpperCamelCase:  Union[str, Any]    						=			do_lower_case
     _UpperCamelCase:  int    						=			strip_accents
     _UpperCamelCase:  Union[str, Any]    						=			tokenize_chinese_chars
     _UpperCamelCase:  Optional[int]    						=			normalizer_class(**_lowercase				)

    _UpperCamelCase:  Dict    						=			do_lower_case



   def 	lowerCAmelCase    (						self       :	Tuple		,	_lowercase       :	Optional[int]		,	_lowercase       :	Any=None				):



    """simple docstring"""



    _UpperCamelCase:  Dict    						=			[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 	lowerCAmelCase    (						self       :	List[str]		,	_lowercase       :	List[int]		,	_lowercase       :	Optional[List[int]] = None				):



    """simple docstring"""



    _UpperCamelCase:  Dict    						=			[self.sep_token_id]
    _UpperCamelCase:  Optional[int]    						=			[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 	lowerCAmelCase    (						self       :	Any		,	_lowercase       :	str		,	_lowercase       :	Optional[str] = None				):



    """simple docstring"""



    _UpperCamelCase:  Any    						=			self._tokenizer.model.save(_lowercase		,	name=_lowercase				)
    return tuple(_lowercase				)
from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup




def    lowerCAmelCase_  (		lowercase:				str = ""		)     ->					dict[str, float]:







 '''simple docstring'''
 _UpperCamelCase:  Tuple    						=			url or '''https://www.imdb.com/chart/top/?ref_=nv_mv_250'''
 _UpperCamelCase:  Union[str, Any]    						=			BeautifulSoup(requests.get(lowercase		).text	,       '''html.parser'''		)
 _UpperCamelCase:  List[Any]    						=			soup.find_all('''td'''	,       attrs='''titleColumn'''		)
 _UpperCamelCase:  str    						=			soup.find_all('''td'''	,       class_='''ratingColumn imdbRating'''		)
 return {
     title.a.text: float(rating.strong.text		)
     for title, rating in zip(lowercase	,       lowercase		)
 }




def    lowerCAmelCase_  (		lowercase:				str = "IMDb_Top_250_Movies.csv"		)     ->					None:







 '''simple docstring'''
 _UpperCamelCase:  Any    						=			get_imdb_top_aaa_movies()
 with open(lowercase	,       '''w'''	,       newline=''''''		) as out_file:
  _UpperCamelCase:  Optional[Any]    						=			csv.writer(lowercase		)
  writer.writerow(['''Movie title''', '''IMDb rating''']		)
  for title, rating in movies.items():
   writer.writerow([title, rating]		)


if __name__ == "__main__":
  write_movies()