code: def get_config(
      problem_type: Optional[str] = None,
      presets: Optional[str] = None,
      config: Optional[Union[Dict, DictConfig]] = None,
      overrides: Optional[Union[str, List[str], Dict]] = None,
      extra: Optional[List[str]] = None,
  ):
      """
      Construct configurations for model, data, optimization, and environment.
      It supports to overrides some default configurations.
  
      Parameters
      ----------
      problem_type
          Problem type.
      presets
          Presets regarding model quality, e.g., best_quality, high_quality, and medium_quality.
      config
          A dictionary including four keys: "model", "data", "optimization", and "environment".
          If any key is not given, we will fill in with the default value.
  
          The value of each key can be a string, yaml path, or DictConfig object. For example:
          config = {
                          "model": "default",
                          "data": "default",
                          "optimization": "default",
                          "environment": "default",
                      }
              or
              config = {
                          "model": "/path/to/model/config.yaml",
                          "data": "/path/to/data/config.yaml",
                          "optimization": "/path/to/optimization/config.yaml",
                          "environment": "/path/to/environment/config.yaml",
                      }
              or
              config = {
                          "model": OmegaConf.load("/path/to/model/config.yaml"),
                          "data": OmegaConf.load("/path/to/data/config.yaml"),
                          "optimization": OmegaConf.load("/path/to/optimization/config.yaml"),
                          "environment": OmegaConf.load("/path/to/environment/config.yaml"),
                      }
      overrides
          This is to override some default configurations.
              For example, changing the text and image backbones can be done by formatting:
  
              a string
              overrides = "model.hf_text.checkpoint_name=google/electra-small-discriminator
              model.timm_image.checkpoint_name=swin_small_patch4_window7_224"
  
              or a list of strings
              overrides = ["model.hf_text.checkpoint_name=google/electra-small-discriminator",
              "model.timm_image.checkpoint_name=swin_small_patch4_window7_224"]
  
              or a dictionary
              overrides = {
                              "model.hf_text.checkpoint_name": "google/electra-small-discriminator",
                              "model.timm_image.checkpoint_name": "swin_small_patch4_window7_224",
                          }
      extra
          A list of extra config keys.
  
      Returns
      -------
      Configurations as a DictConfig object
      """
  
      if not config and not presets:
          presets = "default"
  
      if not isinstance(config, DictConfig):
          if presets is None:
              preset_overrides = None
          else:
              preset_overrides, _ = get_automm_presets(
                  problem_type=problem_type, presets=presets
              )
  
          config = get_default_config(config, extra=extra)
          # apply the preset's overrides
          if preset_overrides:
              config = apply_omegaconf_overrides(
                  config,
                  overrides=preset_overrides,
                  check_key_exist=True,
              )
  
      verify_model_names(config.model)
      logger.debug(f"overrides: {overrides}")
      if overrides is not None:
          # avoid manipulating the user-provided overrides
          overrides = copy.deepcopy(overrides)
          # apply customized model names
          overrides = parse_dotlist_conf(overrides)  # convert to a dict
          config.model, _ = customize_model_names(
              config=config.model,
              customized_names=overrides.get("model.names", None),
          )
          # remove `model.names` from overrides since it's already applied.
          overrides.pop("model.names", None)
          # apply the user-provided overrides
          config = apply_omegaconf_overrides(
              config, overrides=overrides, check_key_exist=True
          )
      verify_model_names(config.model)
      return config
  
imports: import copy
  import logging
  import os
  import re
  import warnings
  from typing import Callable, Dict, List, Optional, Tuple, Union
  from omegaconf import DictConfig, OmegaConf
  from packaging import version
  from torch import nn
  from ..constants import AUTOMM, DATA, FT_TRANSFORMER, FUSION_TRANSFORMER, HF_MODELS, MODEL, REGRESSION, VALID_CONFIG_KEYS
  from ..presets import get_automm_presets, get_basic_automm_config
  from .data import get_detected_data_types
label_desc: Use image node_id 3 for calling a global function with example usage: get_config(problem_type, presets, config, overrides, extra) and returns: config