




import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class     UpperCamelCase_   (			UpperCAmelCase__		, unittest.TestCase					):

    '''simple docstring'''






    UpperCAmelCase__							  =				FunnelTokenizer
    UpperCAmelCase__							  =				FunnelTokenizerFast
    UpperCAmelCase__							  =				True
    UpperCAmelCase__							  =				True


    def 	SCREAMING_SNAKE_CASE							(      self				:     Dict)						->Dict:





           '''simple docstring'''

           super().setUp()

           A__							=   [
               '''<unk>''',
               '''<cls>''',
               '''<sep>''',
               '''want''',
               '''##want''',
               '''##ed''',
               '''wa''',
               '''un''',
               '''runn''',
               '''##ing''',
               ''',''',
               '''low''',
               '''lowest''',
           ]
           A__							=   os.path.join(self.tmpdirname ,			VOCAB_FILES_NAMES['''vocab_file'''])
           with open(self.vocab_file ,			'''w''' ,			encoding='''utf-8''') as vocab_writer:
                  vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]))


    def 	SCREAMING_SNAKE_CASE							(      self				:     int ,			**UpperCAmelCase__				:     Dict)						->List[Any]:





           '''simple docstring'''

           return FunnelTokenizer.from_pretrained(self.tmpdirname ,			**UpperCAmelCase__)


    def 	SCREAMING_SNAKE_CASE							(      self				:     List[Any] ,			**UpperCAmelCase__				:     int)						->List[Any]:





           '''simple docstring'''

           return FunnelTokenizerFast.from_pretrained(self.tmpdirname ,			**UpperCAmelCase__)


    def 	SCREAMING_SNAKE_CASE							(      self				:     Tuple ,			UpperCAmelCase__				:     int)						->Any:





           '''simple docstring'''

           A__							=   '''UNwant\u00E9d,running'''
           A__							=   '''unwanted, running'''
           return input_text, output_text


    def 	SCREAMING_SNAKE_CASE							(      self				:     Tuple)						->Optional[int]:





           '''simple docstring'''

           A__							=   self.tokenizer_class(self.vocab_file)

           A__							=   tokenizer.tokenize('''UNwant\u00E9d,running''')
           self.assertListEqual(UpperCAmelCase__ ,			['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing'''])
           self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__) ,			[7, 4, 5, 10, 8, 9])





    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[Any])						->List[Any]:





           '''simple docstring'''

           A__							=   self.get_tokenizers(do_lower_case=UpperCAmelCase__)
           for tokenizer in tokenizers:
                  A__							=   tokenizer('''UNwant\u00E9d,running''')
                  A__							=   len(inputs['''input_ids''']) - 1
                  self.assertListEqual(inputs['''token_type_ids'''] ,			[2] + [0] * sentence_len)

                  A__							=   tokenizer('''UNwant\u00E9d,running''' ,			'''UNwant\u00E9d,running''')
                  self.assertListEqual(inputs['''token_type_ids'''] ,			[2] + [0] * sentence_len + [1] * sentence_len)








from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup







def SCREAMING_SNAKE_CASE    (	lowercase_ = ""						)       ->	dict[str, float]:



       """simple docstring"""

       A__							=   url or '''https://www.imdb.com/chart/top/?ref_=nv_mv_250'''
       A__							=   BeautifulSoup(requests.get(lowercase_						).text			,    '''html.parser'''						)
       A__							=   soup.find_all('''td'''			,    attrs='''titleColumn'''						)
       A__							=   soup.find_all('''td'''			,    class_='''ratingColumn imdbRating'''						)
       return {
           title.a.text: float(rating.strong.text						)
           for title, rating in zip(lowercase_			,    lowercase_						)
       }







def SCREAMING_SNAKE_CASE    (	lowercase_ = "IMDb_Top_250_Movies.csv"						)       ->	None:



       """simple docstring"""

       A__							=   get_imdb_top_aaa_movies()
       with open(lowercase_			,    '''w'''			,    newline=''''''						) as out_file:
              A__							=   csv.writer(lowercase_						)
              writer.writerow(['''Movie title''', '''IMDb rating''']						)
              for title, rating in movies.items():
                     writer.writerow([title, rating]						)


if __name__ == "__main__":
  write_movies()


