from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup

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

def 			lowercase_				(			_lowerCamelCase							:       str = "IMDb_Top_250_Movies.csv"):
    lowercase__ :   Dict    					=				get_imdb_top_aaa_movies()
    with open(_lowerCamelCase		,	"w"		,	newline="") as out_file:
        lowercase__ :   Optional[int]    					=				csv.writer(_lowerCamelCase)
        writer.writerow(["Movie title", "IMDb rating"])
        for title, rating in movies.items():
            writer.writerow([title, rating])


if __name__ == "__main__":
      write_movies()










"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


_snake_case     :		Optional[int]       						= logging.get_logger(__name__)

_snake_case     :		Optional[int]       						= {
    'google/vivit-b-16x2-kinetics400': (
        'https://huggingface.co/google/vivit-b-16x2-kinetics400/resolve/main/config.json'
    ),
    # See all Vivit models at https://huggingface.co/models?filter=vivit
}






class 					_UpperCAmelCase   (	lowercase_ ):
					UpperCamelCase      =							'''vivit'''


					def __init__(					self			:Optional[Any]     ,       __UpperCamelCase			:Dict=2_24     ,       __UpperCamelCase			:int=32     ,       __UpperCamelCase			:Union[str, Any]=[2, 16, 16]     ,       __UpperCamelCase			:Optional[Any]=3     ,       __UpperCamelCase			:Optional[Any]=7_68     ,       __UpperCamelCase			:Any=12     ,       __UpperCamelCase			:List[str]=12     ,       __UpperCamelCase			:List[str]=30_72     ,       __UpperCamelCase			:Any="gelu_fast"     ,       __UpperCamelCase			:List[Any]=0.0     ,       __UpperCamelCase			:str=0.0     ,       __UpperCamelCase			:Dict=0.02     ,       __UpperCamelCase			:Optional[Any]=1e-06     ,       __UpperCamelCase			:Dict=True     ,       **__UpperCamelCase			:Tuple     ,       ):
												A		=  hidden_size
												A		=  num_hidden_layers
												A		=  num_attention_heads
												A		=  intermediate_size
												A		=  hidden_act
												A		=  hidden_dropout_prob
												A		=  attention_probs_dropout_prob
												A		=  initializer_range
												A		=  layer_norm_eps

												A		=  image_size
												A		=  num_frames
												A		=  tubelet_size
												A		=  num_channels
												A		=  qkv_bias

												super().__init__(**__UpperCamelCase		)


