code: def register(
      self,
      name: str,
      import_code: str,
      class_name: str,
      allowed_pipeline: List[str],
      extra_args={},
  ):
      self.registry[name] = {
          "name": name,
          "import_code": import_code,
          "class_name": class_name,
          "extra_args": extra_args,
      }
      for pipeline in allowed_pipeline:
          if pipeline in self.pipeline_allowed:
              self.pipeline_allowed[pipeline].append(name)
          else:
              self.pipeline_allowed[pipeline] = [name]
      return self
  
imports: import enum
  import inspect
  import logging
  from abc import ABC, abstractmethod, abstractstaticmethod
  from pathlib import Path
  from typing import Callable, Dict, List, Optional, Tuple, Union
  import yaml
  from dgl.dataloading.negative_sampler import GlobalUniform, PerSourceUniform
  from numpydoc import docscrape
  from pydantic import create_model, create_model_from_typeddict, Field
  from typing_extensions import Literal
  from .base_model import DGLBaseModel
label_desc: Use image node_id 2 for calling the DataFactoryClass obj's underlying member method code with example usage: obj.register(name, import_code, class_name, allowed_pipeline, extra_args) and returns: self