code: def reset(self):
      self.eager_op_types = []
      self.eager_op_names = []
      self.eager_attrs = []
      self.eager_graphs = []
      self.eager_inputs = []
      self.graph_op_types = []
      self.graph_op_names = []
      self.graph_attrs = []
      self.graph_graphs = []
      self.graph_graph_versions = []
      self.graph_inputs = []
  
      # A dict mapping tensor name (e.g., "MatMut_10") to a list of ndarrays.
      # The list is the history of the tensor's computation result inside
      # `tf.Graph`s (`FuncGraph`s).
      # For an op with multiple output tensors, the outputs are interleaved in
      # the list.
      self.graph_internal_ndarrays = {}
  
imports: import threading
  import numpy
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import op_callbacks
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.util import compat
label_desc: Use image node_id 3 for calling the _NumpyFunctionCallback obj's underlying member method code with example usage: obj.reset() without return types