code: def get_continuous_samples(
      self, low, high, precision, size=1000, seed=None
  ):
      if seed is not None:
          np.random.seed(seed)
  
      if precision == 0:
          result = np.random.randint(low, high + 1, size).tolist()
          result = [float(r) for r in result]
      else:
          result = np.random.uniform(
              low, high + (10**-precision), size
          )
          result = [round(r, precision) for r in result]
      return result
  
file_path: DiCE/dice_ml/explainer_interfaces/dice_random.py
imports: import random
  import timeit
  import numpy
  import pandas
  from dice_ml import diverse_counterfactuals
  from dice_ml.constants import ModelTypes
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
label_desc: Use image node_id 4 for calling the DiceRandom obj's underlying member method code with example usage: obj.get_continuous_samples(low, high, precision, size, seed) and returns: result