code: def validate_config(cfg: dict, resolved: bool = False) -> dict:
      """
      Validates a detector config dict by passing the dict to the detector's pydantic model schema.
  
      Parameters
      ----------
      cfg
          The detector config dict.
      resolved
          Whether the config is resolved or not. For example, if resolved=True, `x_ref` is expected to be a
          np.ndarray, wheras if resolved=False, `x_ref` is expected to be a str.
  
      Returns
      -------
      The validated config dict, with missing fields set to their default values.
      """
      # Get detector name and meta
      if "name" in cfg:
          detector_name = cfg["name"]
      else:
          raise ValueError("`name` missing from config.toml.")
  
      # Validate detector specific config
      if detector_name in DETECTOR_CONFIGS.keys():
          if resolved:
              cfg = DETECTOR_CONFIGS_RESOLVED[detector_name](
                  **cfg
              ).dict()
          else:
              cfg = DETECTOR_CONFIGS[detector_name](**cfg).dict()
      else:
          raise ValueError(
              f"Loading the {detector_name} detector from a config.toml is not yet supported."
          )
  
      # Get meta data
      meta = cfg.get("meta")
      meta = (
          {} if meta is None else meta
      )  # Needed because pydantic sets meta=None if it is missing from the config
      version_warning = meta.get("version_warning", False)
      version = meta.get("version", None)
  
      # Raise warning if config file already contains a version_warning
      if version_warning:
          warnings.warn(
              "The config file appears to be have been generated from a detector which may have been "
              "loaded with a version mismatch. This may lead to breaking code or invalid results."
          )
  
      # check version
      if version is not None and version != __version__:
          warnings.warn(
              f"Config is from version {version} but current version is "
              f"{__version__}. This may lead to breaking code or invalid results."
          )
          cfg["meta"].update({"version_warning": True})
  
      return cfg
  
imports: import warnings
  from alibi_detect.saving.schemas import DETECTOR_CONFIGS, DETECTOR_CONFIGS_RESOLVED
  from alibi_detect.version import __version__
label_desc: Use image node_id 1 for calling a global function with example usage: validate_config(cfg, resolved) and returns: cfg