code: def _get_onedal_params(self, dtype=np.float32):
      return {
          "fptype": "float" if dtype == np.float32 else "double",
          "method": "by_default",
          "min_observations": int(self.min_samples),
          "epsilon": float(self.eps),
          "mem_save_mode": False,
          "result_options": "core_observation_indices|responses",
      }
  
file_path: scikit-learn-intelex/onedal/cluster/dbscan.py
imports: import numpy
  from sklearn.base import ClusterMixin
  from sklearn.utils import check_array
  from daal4py.sklearn._utils import get_dtype, make2d
  from onedal import _backend
  from ..common._policy import _get_policy
  from ..datatypes import _convert_to_supported, from_table, to_table
label_desc: Use image node_id 3 for calling the BaseDBSCAN obj's underlying member method code with example usage: obj._get_onedal_params(dtype) and returns: dict