code: def download_multiomics_data(save_path):
      # Downloading Binary Class and Multi Class Multiomics datasets for tests/pipeline/test_multiomics_trainer.py test
      url = "https://github.com/pykale/data/raw/main/multiomics/ROSMAP.zip"
      binary_save_path = Path(save_path).joinpath(
          "multiomics/trainer/binary_class/"
      )
      download_file_by_url(
          url, binary_save_path, "binary_class.zip", "zip"
      )
  
      url = "https://github.com/pykale/data/raw/main/multiomics/TCGA_BRCA.zip"
      multi_save_path = Path(save_path).joinpath(
          "multiomics/trainer/multi_class/"
      )
      download_file_by_url(
          url, multi_save_path, "multi_class.zip", "zip"
      )
  
file_path: pykale/tests/download_test_data.py
imports: from pathlib import Path
  from tdc.multi_pred import DTI
  from torchvision.datasets import CIFAR10, CIFAR100, MNIST, SVHN
  from kale.loaddata.mnistm import MNISTM
  from kale.loaddata.usps import USPS
  from kale.prepdata.image_transform import get_transform
  from kale.utils.download import download_file_by_url
label_desc: Use image node_id 6 for calling a global function with example usage: download_multiomics_data(save_path) without return types