class_docstr: Diagnostics returned by a Solver.
class_docstr_tok: ["Diagnostics","returned","by","a","Solver","."]
docstr: Completion status.
  
  Returns:
    status: Scalar integer `Tensor` containing the reason for termination. -1
      on failure, 1 on termination by an event, and 0 otherwise.
docstr_tok: ["Completion","status",".","Returns",":","status",":","Scalar","integer","`","Tensor","`","containing","the","reason","for","termination",".","-1","on","failure",",","1","on","termination","by","an","event",",","and","0","otherwise","."]
code: def status(self):
      """Completion status.
  
      Returns:
        status: Scalar integer `Tensor` containing the reason for termination. -1
          on failure, 1 on termination by an event, and 0 otherwise.
      """
      pass
  
imports: import abc
  import collections
  import functools
  import six
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import custom_gradient
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.math.ode import runge_kutta_util
  from tensorflow_probability.python.math.ode import util
label_desc: Use image node_id 4 for calling the Diagnostics obj's underlying member method code with example usage: obj.status() without return types