code: def generate_data(
      low: int, high: int, samples_number: int, sample_dimension: tuple
  ) -> tuple:
      generator = np.random.RandomState()
      table_size = (samples_number, sample_dimension)
      return generator.uniform(
          low=low, high=high, size=table_size
      ), generator.uniform(size=samples_number)
  
file_path: scikit-learn-intelex/onedal/cluster/tests/test_dbscan.py
imports: import numpy
  import pytest
  from sklearn.cluster import DBSCAN
  from sklearn.cluster.tests.common import generate_clustered_data
  from onedal.cluster import DBSCAN
  from onedal.tests.utils._device_selection import get_queues
label_desc: Use image node_id 1 for calling a global function with example usage: generate_data(low, high, samples_number, sample_dimension) and returns: generator,  generator