
'''simple docstring'''
import bsa
import requests







def 							A_  (    __SCREAMING_SNAKE_CASE    :	List[Any]			)					->							Union[str, Any]:





  """simple docstring"""

  return {
      "name": soup.ha.a.text,
      "genre": soup.find("""span"""      ,  class_="""genre"""			).text.strip(),
      "rating": soup.strong.text,
      "page_link": F"https://www.imdb.com{soup.a.get('href'			)}",
  }







def 							A_  (    __SCREAMING_SNAKE_CASE    :	List[Any] = 5			)					->							Union[str, Any]:





  """simple docstring"""

  __A		:  str       				=		int(float(_UpperCAmelCase			)			)
  if num_movies < 1:
    return ()
  __A		:  Dict       				=		(
      """https://www.imdb.com/search/title?title_type="""
      F"feature&sort=num_votes,desc&count={num_movies}"
  )
  __A		:  Optional[Any]       				=		bsa.BeautifulSoup(requests.get(_UpperCAmelCase			).content      ,  """html.parser"""			)
  return tuple(
      get_movie_data_from_soup(_UpperCAmelCase			)
      for movie in source.find_all("""div"""      ,  class_="""lister-item mode-advanced"""			)			)


if __name__ == "__main__":
     import json

     A__ :		Any					=int(input('How many movies would you like to see? '))
     print(
         ', '.join(
             json.dumps(movie, indent=4) for movie in get_imdb_top_movies(num_movies)
         )
     )








import os

from packaging import version

from .. import __version__
from .accelerate_utils import apply_forward_hook
from .constants import (
    CONFIG_NAME,
    DEPRECATED_REVISION_ARGS,
    DIFFUSERS_CACHE,
    DIFFUSERS_DYNAMIC_MODULE_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    ONNX_EXTERNAL_WEIGHTS_NAME,
    ONNX_WEIGHTS_NAME,
    SAFETENSORS_WEIGHTS_NAME,
    TEXT_ENCODER_ATTN_MODULE,
    WEIGHTS_NAME,
)
from .deprecation_utils import deprecate
from .doc_utils import replace_example_docstring
from .dynamic_modules_utils import get_class_from_dynamic_module
from .hub_utils import (
    HF_HUB_OFFLINE,
    _add_variant,
    _get_model_file,
    extract_commit_hash,
    http_user_agent,
)
from .import_utils import (
    BACKENDS_MAPPING,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    DummyObject,
    OptionalDependencyNotAvailable,
    is_accelerate_available,
    is_accelerate_version,
    is_bsa_available,
    is_flax_available,
    is_ftfy_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_omegaconf_available,
    is_onnx_available,
    is_safetensors_available,
    is_scipy_available,
    is_tensorboard_available,
    is_tf_available,
    is_torch_available,
    is_torch_version,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    is_wandb_available,
    is_xformers_available,
    requires_backends,
)
from .logging import get_logger
from .outputs import BaseOutput
from .pil_utils import PIL_INTERPOLATION, numpy_to_pil, pt_to_pil
from .torch_utils import is_compiled_module, randn_tensor


if is_torch_available():
		from .testing_utils import (
		    floats_tensor,
		    load_hf_numpy,
		    load_image,
		    load_numpy,
		    load_pt,
		    nightly,
		    parse_flag_from_env,
		    print_tensor_test,
		    require_torch_a,
		    require_torch_gpu,
		    skip_mps,
		    slow,
		    torch_all_close,
		    torch_device,
		)
		from .torch_utils import maybe_allow_in_graph

from .testing_utils import export_to_gif, export_to_video


__magic_name__       =     get_logger(__name__)





def 		__snake_case						(    _UpperCAmelCase				):
					"""simple docstring"""






					if version.parse(_UpperCAmelCase				) < version.parse(_UpperCAmelCase				):
										if "dev" in min_version:
															lowercase						   =       (
															    'This example requires a source install from HuggingFace diffusers (see '
															    '`https://huggingface.co/docs/diffusers/installation#install-from-source`),'
															)
										else:
															lowercase						   =       f"""This example requires a minimum version of {min_version},"""
										error_message += f""" but the version found is {__version__}.\n"""
										raise ImportError(_UpperCAmelCase				)






