class_docstr: Tracks quantities for numerically stable mean and variance calculation.
class_docstr_tok: ["Tracks","quantities","for","numerically","stable","mean","and","variance","calculation","."]
docstr: Combines two WeightedMeanVarAccumulators, updating in place.
  
  Args:
    other: A MeanVarAccumulator to merge with self.
docstr_tok: ["Combines","two","WeightedMeanVarAccumulators",",","updating","in","place",".","Args",":","other",":","A","MeanVarAccumulator","to","merge","with","self","."]
code: def merge(self, other: "WeightedMeanVarAccumulator"):
      """Combines two WeightedMeanVarAccumulators, updating in place.
  
      Args:
        other: A MeanVarAccumulator to merge with self.
      """
      self._combine(
          other.count, other.mean, other.variance, other.weights_mean
      )
  
imports: from typing import Optional
  import numpy
label_desc: Use image node_id 3 for calling the WeightedMeanVarAccumulator obj's underlying member method code with example usage: obj.merge(other) without return types