

from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup



def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							str = ""      )			->      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 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							int = "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()




from typing import Union

import fire
import torch
from tqdm import tqdm



def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							str	,       SCREAMING_SNAKE_CASE_:							str = "cpu"	,       SCREAMING_SNAKE_CASE_:							Union[str, None] = None      )			->      None:




				'''simple docstring'''





				A__        =			torch.load(SCREAMING_SNAKE_CASE_	,       map_location=SCREAMING_SNAKE_CASE_      )
				for k, v in tqdm(state_dict.items()      ):
								if not isinstance(SCREAMING_SNAKE_CASE_	,       torch.Tensor      ):
												raise TypeError("FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin"      )
								A__        =			v.half()
				if save_path is None:  # overwrite src_path
								A__        =			src_path
				torch.save(SCREAMING_SNAKE_CASE_	,       SCREAMING_SNAKE_CASE_      )


if __name__ == "__main__":
	fire.Fire(convert)

