code: def lazy_dbscan_import_has_dependency():
      has_min_dependency = True
      DBSCAN = None
      try:
          from sklearn.cluster import DBSCAN
      except ImportError:
          has_min_dependency = False
          logger.info("Please install sklearn for CPU DBSCAN")
  
      has_cuml_dependency = True
      cuDBSCAN = None
      try:
          from cuml import DBSCAN as cuDBSCAN
      except ImportError:
          has_cuml_dependency = False
          logger.info("Please install cuml for GPU DBSCAN")
  
      return has_min_dependency, DBSCAN, has_cuml_dependency, cuDBSCAN
  
imports: import logging
  import pandas
  import numpy
  from typing import Any, List, Union, TYPE_CHECKING, Tuple, Optional
  from typing_extensions import Literal
  from collections import Counter
  from graphistry.Plottable import Plottable
  from graphistry.constants import CUML, UMAP_LEARN, DBSCAN
  from graphistry.features import ModelDict
  from graphistry.feature_utils import get_matrix_by_column_parts
label_desc: Use image node_id 1 for calling a global function with example usage: lazy_dbscan_import_has_dependency() and returns: has_min_dependency,  DBSCAN,  has_cuml_dependency,  cuDBSCAN