import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase_           =				get_tests_dir('''fixtures/test_sentencepiece_bpe.model''')




class 			__magic_name__	(		__a   ,						unittest.TestCase     ):





   """simple docstring"""




   lowerCAmelCase   :     str	      = BartphoTokenizer
   lowerCAmelCase   :     List[Any]	      = False
   lowerCAmelCase   :     int	      = True



   def 	lowerCAmelCase    (						self       :	Optional[Any]				):



    """simple docstring"""



    super().setUp()

    _UpperCamelCase:  Any    						=			['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']
    _UpperCamelCase:  Any    						=			dict(zip(_lowercase		,	range(len(_lowercase				)				)				)				)
    _UpperCamelCase:  Dict    						=			{'''unk_token''': '''<unk>'''}

    _UpperCamelCase:  str    						=			os.path.join(self.tmpdirname		,	VOCAB_FILES_NAMES['''monolingual_vocab_file''']				)
    with open(self.monolingual_vocab_file		,	'''w'''		,	encoding='''utf-8'''				) as fp:
     for token in vocab_tokens:
      fp.write(f"""{token} {vocab_tokens[token]}\n"""				)

    _UpperCamelCase:  Optional[int]    						=			BartphoTokenizer(_lowercase		,	self.monolingual_vocab_file		,	**self.special_tokens_map				)
    tokenizer.save_pretrained(self.tmpdirname				)



   def 	lowerCAmelCase    (						self       :	int		,	**_lowercase       :	Any				):



    """simple docstring"""



    kwargs.update(self.special_tokens_map				)
    return BartphoTokenizer.from_pretrained(self.tmpdirname		,	**_lowercase				)



   def 	lowerCAmelCase    (						self       :	int		,	_lowercase       :	Optional[Any]				):



    """simple docstring"""



    _UpperCamelCase:  Dict    						=			'''This is a là test'''
    _UpperCamelCase:  List[str]    						=			'''This is a<unk><unk> test'''
    return input_text, output_text



   def 	lowerCAmelCase    (						self       :	str				):



    """simple docstring"""



    _UpperCamelCase:  str    						=			BartphoTokenizer(_lowercase		,	self.monolingual_vocab_file		,	**self.special_tokens_map				)
    _UpperCamelCase:  Any    						=			'''This is a là test'''
    _UpperCamelCase:  List[Any]    						=			'''▁This ▁is ▁a ▁l à ▁t est'''.split()
    _UpperCamelCase:  Tuple    						=			tokenizer.tokenize(_lowercase				)
    self.assertListEqual(_lowercase		,	_lowercase				)

    _UpperCamelCase:  Optional[Any]    						=			tokens + [tokenizer.unk_token]
    _UpperCamelCase:  List[Any]    						=			[4, 5, 6, 3, 3, 7, 8, 3]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase				)		,	_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()