code: def __init__(
      self,
      count: int,
      min_value: float,
      max_value: float,
      mean: float,
      std: float,
  ):
      self.count = count
      self.min = min_value
      self.max = max_value
      self.mean = mean
      self.std = std
  
imports: import os
  import tempfile
  import unittest
  from typing import Dict, Optional, Set, Type, Union
  from pandas.testing import assert_frame_equal
  from pyspark.sql import DataFrame, types, functions
  from synapse.ml.cyber.feature import indexers
  from synapse.ml.cyber import DataFactory
  from synapse.ml.cyber.anomaly.collaborative_filtering import AccessAnomaly, AccessAnomalyModel, AccessAnomalyConfig, ConnectedComponents, ModelNormalizeTransformer, _UserResourceFeatureVectorMapping
  from synapsemltest.cyber.explain_tester import ExplainTester
  from synapsemltest.spark import *
label_desc: Use image node_id 1 to create a new BasicStats object  with example: obj = BasicStats(count, min_value, max_value, mean, std)