code: def logaddexp(x1, x2, out=None, where=None, **kwargs):
      """
      Logarithm of the sum of exponentiations of the inputs.
  
      Calculates ``log(exp(x1) + exp(x2))``. This function is useful in
      statistics where the calculated probabilities of events may be so small
      as to exceed the range of normal floating point numbers.  In such cases
      the logarithm of the calculated probability is stored. This function
      allows adding probabilities stored in such a fashion.
  
      Parameters
      ----------
      x1, x2 : array_like
          Input values.
      out : Tensor, None, or tuple of Tensor and None, optional
          A location into which the result is stored. If provided, it must have
          a shape that the inputs broadcast to. If not provided or `None`,
          a freshly-allocated tensor is returned. A tuple (possible only as a
          keyword argument) must have length equal to the number of outputs.
      where : array_like, optional
          Values of True indicate to calculate the ufunc at that position, values
          of False indicate to leave the value in the output alone.
      **kwargs
          For other keyword-only arguments, see the
          :ref:`ufunc docs <ufuncs.kwargs>`.
  
      Returns
      -------
      result : Tensor
          Logarithm of ``exp(x1) + exp(x2)``.
  
      See Also
      --------
      logaddexp2: Logarithm of the sum of exponentiations of inputs in base 2.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> prob1 = mt.log(1e-50)
      >>> prob2 = mt.log(2.5e-50)
      >>> prob12 = mt.logaddexp(prob1, prob2)
      >>> prob12.execute()
      -113.87649168120691
      >>> mt.exp(prob12).execute()
      3.5000000000000057e-50
      """
      op = TensorLogAddExp(**kwargs)
      return op(x1, x2, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/logaddexp.py
imports: import numpy
  from ...None import opcodes
  from ..utils import infer_dtype
  from .core import TensorBinOp
  from .utils import arithmetic_operand
label_desc: Use image node_id 1 for calling a global function with example usage: logaddexp(x1, x2, out, where) and returns: op