code: def cached_assets_path(
      library_name: str,
      namespace: str = "default",
      subfolder: str = "default",
      *,
      assets_dir: Union[str, Path, None] = None,
  ):
      """Return a folder path to cache arbitrary files.
  
      `huggingface_hub` provides a canonical folder path to store assets. This is the
      recommended way to integrate cache in a downstream library as it will benefit from
      the builtins tools to scan and delete the cache properly.
  
      The distinction is made between files cached from the Hub and assets. Files from the
      Hub are cached in a git-aware manner and entirely managed by `huggingface_hub`. See
      [related documentation](https://huggingface.co/docs/huggingface_hub/how-to-cache).
      All other files that a downstream library caches are considered to be "assets"
      (files downloaded from external sources, extracted from a .tar archive, preprocessed
      for training,...).
  
      Once the folder path is generated, it is guaranteed to exist and to be a directory.
      The path is based on 3 levels of depth: the library name, a namespace and a
      subfolder. Those 3 levels grants flexibility while allowing `huggingface_hub` to
      expect folders when scanning/deleting parts of the assets cache. Within a library,
      it is expected that all namespaces share the same subset of subfolder names but this
      is not a mandatory rule. The downstream library has then full control on which file
      structure to adopt within its cache. Namespace and subfolder are optional (would
      default to a `"default/"` subfolder) but library name is mandatory as we want every
      downstream library to manage its own cache.
  
      Expected tree:
      ```text
          assets/
          └── datasets/
          │   ├── SQuAD/
          │   │   ├── downloaded/
          │   │   ├── extracted/
          │   │   └── processed/
          │   ├── Helsinki-NLP--tatoeba_mt/
          │       ├── downloaded/
          │       ├── extracted/
          │       └── processed/
          └── transformers/
              ├── default/
              │   ├── something/
              ├── bert-base-cased/
              │   ├── default/
              │   └── training/
          hub/
          └── models--julien-c--EsperBERTo-small/
              ├── blobs/
              │   ├── (...)
              │   ├── (...)
              ├── refs/
              │   └── (...)
              └── [ 128]  snapshots/
                  ├── 2439f60ef33a0d46d85da5001d52aeda5b00ce9f/
                  │   ├── (...)
                  └── bbc77c8132af1cc5cf678da3f1ddf2de43606d48/
                      └── (...)
      ```
  
  
      Args:
          library_name (`str`):
              Name of the library that will manage the cache folder. Example: `"dataset"`.
          namespace (`str`, *optional*, defaults to "default"):
              Namespace to which the data belongs. Example: `"SQuAD"`.
          subfolder (`str`, *optional*, defaults to "default"):
              Subfolder in which the data will be stored. Example: `extracted`.
          assets_dir (`str`, `Path`, *optional*):
              Path to the folder where assets are cached. This must not be the same folder
              where Hub files are cached. Defaults to `HF_HOME / "assets"` if not provided.
              Can also be set with `HF_ASSETS_CACHE` environment variable.
  
      Returns:
          Path to the cache folder (`Path`).
  
      Example:
      ```py
      >>> from huggingface_hub import cached_assets_path
  
      >>> cached_assets_path(library_name="datasets", namespace="SQuAD", subfolder="download")
      PosixPath('/home/wauplin/.cache/huggingface/extra/datasets/SQuAD/download')
  
      >>> cached_assets_path(library_name="datasets", namespace="SQuAD", subfolder="extracted")
      PosixPath('/home/wauplin/.cache/huggingface/extra/datasets/SQuAD/extracted')
  
      >>> cached_assets_path(library_name="datasets", namespace="Helsinki-NLP/tatoeba_mt")
      PosixPath('/home/wauplin/.cache/huggingface/extra/datasets/Helsinki-NLP--tatoeba_mt/default')
  
      >>> cached_assets_path(library_name="datasets", assets_dir="/tmp/tmp123456")
      PosixPath('/tmp/tmp123456/datasets/default/default')
      ```
      """
      # Resolve assets_dir
      if assets_dir is None:
          assets_dir = HF_ASSETS_CACHE
      assets_dir = Path(assets_dir).expanduser().resolve()
  
      # Avoid names that could create path issues
      for part in (" ", "/", "\\"):
          library_name = library_name.replace(part, "--")
          namespace = namespace.replace(part, "--")
          subfolder = subfolder.replace(part, "--")
  
      # Path to subfolder is created
      path = assets_dir / library_name / namespace / subfolder
      try:
          path.mkdir(exist_ok=True, parents=True)
      except (FileExistsError, NotADirectoryError):
          raise ValueError(
              f"Corrupted assets folder: cannot create directory because of an existing file ({path})."
          )
  
      # Return
      return path
  
label_desc: Use image node_id 1 for calling a global function with example usage: cached_assets_path(library_name, namespace, subfolder) and returns: path