printAncestorTraceback(ancestor)
	}
}

// traceback2 prints a stack trace starting at u. It skips the first "skip"
// logical frames, after which it prints at most "max" logical frames. It
// returns n, which is the number of logical frames skipped and printed, and
// lastN, which is the number of logical frames skipped or printed just in the
// physical frame that u references.

// control dependence) into an instance of the Predicate class.  Instances of
// Predicate denote logical formulas and mapping a node `n` to a predicate
// `pred` implies that `n` is live whenever `pred` is true.  Then we can deduce
// mismatching liveness in the inputs to node by comparing the predicate those
// inputs are mapped to.  The core logic of this pass resides in creating the
// map from TensorFlow nodes to predicates.
//
//

(Neg(64|32|16|8) ...) => (NEG ...)
(Neg(64|32)F ...) => (FNEG ...)

(Com(64|32|16|8) x) => (NOR x x)

// Lowering boolean ops
(AndB ...) => (AND ...)
(OrB ...) => (OR ...)
(Not x) => (XORconst [1] x)

// Merge logical operations
(AND x (NOR y y)) => (ANDN x y)
(OR x (NOR y y)) => (ORN x y)

// Lowering comparisons
(EqB x y)  => (ANDconst [1] (EQV x y))

			// the first logical store in the block.
			continue
		}
		if v.Type.IsTuple() && v.Type.FieldType(1).IsMemory() {
			// We could handle this situation however it is likely
			// to be very rare.
			return false
		}
		if v.Op.SymEffect()&SymAddr != 0 {
			// This case prevents an operation that calculates the
			// address of a local variable from being forced to schedule

};

// StridedSlice can have complicated attributes like begin_axis_mask,
// end_axis_mask, ellipsis_axis_mask, new_axis_mask, shrink_axis_mask. These
// masks will complicate the strided_slice computation logic, we can simplify
// the logic by inserting a reshape op to pad the inputs so strided_slice can
// be easier to handle.
//
// So the graph may looks like below:
//   original_input -> strided_slice -> output
//      (transforms)

  }

  @Override
  public ImmutableSortedSet<K> descendingKeySet() {
    return keySet.descendingSet();
  }

  /**
   * Serialized type for all ImmutableSortedMap instances. It captures the logical contents and they
   * are reconstructed using public factory methods. This ensures that the implementation types
   * remain as implementation details.
   */
  @J2ktIncompatible // serialization

}

// An interface to see if an object supports swagger documentation as a method
type documentable interface {
	SwaggerDoc() map[string]string
}

// toDiscoveryKubeVerb maps an action.Verb to the logical kube verb, used for discovery
var toDiscoveryKubeVerb = map[string]string{
	"CONNECT":          "", // do not list in discovery.
	"DELETE":           "delete",
	"DELETECOLLECTION": "deletecollection",

// sample's magnitude.
//
// Second, having unlocked a mutex the M checks to see if it should capture the
// call stack into its local buffer. Finally, when the M unlocks its last mutex,
// it transfers the local buffer into the profile. As part of that step, it also
// transfers any "additional contention" time to the profile. Any lock

  }

  @Override
  public ImmutableSortedSet<K> descendingKeySet() {
    return keySet.descendingSet();
  }

  /**
   * Serialized type for all ImmutableSortedMap instances. It captures the logical contents and they
   * are reconstructed using public factory methods. This ensures that the implementation types
   * remain as implementation details.
   */
  @J2ktIncompatible // serialization

```

This situation may arise when plugins or build logic eagerly queries an existing JVM Configuration's attributes to create a new Configuration with the same attributes.
Previously, this logic would have omitted the two above noted attributes entirely, while now the same logic will copy the attributes and finalize the project's Java toolchain.