class_docstr: Micro-cluster class.
code: def __init__(
      self,
      x: dict = defaultdict(float),
      w: float | None = None,
      timestamp: int | None = None,
  ):
      # Initialize with sample x
      self.x = x
      self.w = w
      self.timestamp = timestamp
      self.var_x = {}
      for k in x:
          v = stats.Var()
          v.update(x[k], w)
          self.var_x[k] = v
      self.var_time = stats.Var()
      self.var_time.update(timestamp, w)
  
imports: from __future__ import annotations
  import math
  from collections import defaultdict
  from river import base, cluster, stats, utils
label_desc: Use image node_id 1 to create a new CluStreamMicroCluster object from inherited base classes: base with example: obj = CluStreamMicroCluster(x, w, timestamp)