code: def download_deeprec_resources(
      azure_container_url, data_path, remote_resource_name
  ):
      """Download resources.
  
      Args:
          azure_container_url (str): URL of Azure container.
          data_path (str): Path to download the resources.
          remote_resource_name (str): Name of the resource.
      """
      os.makedirs(data_path, exist_ok=True)
      remote_path = azure_container_url + remote_resource_name
      maybe_download(remote_path, remote_resource_name, data_path)
      zip_ref = zipfile.ZipFile(
          os.path.join(data_path, remote_resource_name), "r"
      )
      zip_ref.extractall(data_path)
      zip_ref.close()
      os.remove(os.path.join(data_path, remote_resource_name))
  
imports: import os
  from sklearn.metrics import roc_auc_score, log_loss, mean_squared_error, accuracy_score, f1_score
  import numpy
  import yaml
  import zipfile
  import pickle
  from recommenders.datasets.download_utils import maybe_download
label_desc: Use image node_id 7 for calling a global function with example usage: download_deeprec_resources(azure_container_url, data_path, remote_resource_name) without return types