code: def _init_detector(cfg: dict) -> ConfigurableDetector:
      """
      Instantiates a detector from a fully resolved config dictionary.
  
      Parameters
      ----------
      cfg
          The detector's resolved config dictionary.
  
      Returns
      -------
      The instantiated detector.
      """
      detector_name = cfg.pop("name")
  
      # Instantiate the detector
      klass = getattr(import_module("alibi_detect.cd"), detector_name)
      detector = klass.from_config(cfg)
      logger.info(
          "Instantiated drift detector {}".format(detector_name)
      )
      return detector
  
imports: import logging
  import os
  from functools import partial
  from importlib import import_module
  from pathlib import Path
  from typing import Any, Callable, Optional, Union, Type, TYPE_CHECKING
  import dill
  import numpy
  import toml
  from transformers import AutoTokenizer
  from alibi_detect.saving.registry import registry
  from alibi_detect.saving._tensorflow import load_detector_legacy, load_embedding_tf, load_kernel_config_tf, load_model_tf, load_optimizer_tf, prep_model_and_emb_tf, get_tf_dtype
  from alibi_detect.saving._pytorch import load_embedding_pt, load_kernel_config_pt, load_model_pt, load_optimizer_pt, prep_model_and_emb_pt, get_pt_dtype
  from alibi_detect.saving._keops import load_kernel_config_ke
  from alibi_detect.saving._sklearn import load_model_sk
  from alibi_detect.saving.validate import validate_config
  from alibi_detect.base import Detector, ConfigurableDetector, StatefulDetectorOnline
  from alibi_detect.utils.frameworks import has_tensorflow, has_pytorch, Framework
  from alibi_detect.saving.schemas import supported_models_tf, supported_models_torch
  from alibi_detect.utils.missing_optional_dependency import import_optional
label_desc: Use image node_id 3 for calling a global function with example usage: _init_detector(cfg) and returns: detector