Tres Popp <******@****.***> 1648211118 -0700

Hongmin Fan <******@****.***> 1614638143 -0800

	{
		str:  "\xE0\xA0\x80",
		wstr: []uint16{0x0800},
	},
	{
		str:  "\xE2\xB0\xBC",
		wstr: []uint16{0x2C3C},
	},
	{
		str:  "\xEF\xBF\xBF",
		wstr: []uint16{0xFFFF},
	},
	// unmatched surrogate halves
	// high surrogates: 0xD800 to 0xDBFF
	{
		str:  "\xED\xA0\x80",
		wstr: []uint16{0xD800},
	},
	{
		// "High surrogate followed by another high surrogate"
		str:  "\xED\xA0\x80\xED\xA0\x80",

}

// An xposmap is a map from fileindex and line of src.XPos to int32,
// implemented sparsely to save space (column and statement status are ignored).
// The sparse skeleton is constructed once, and then reused by ssa phases
// that (re)move values with statements attached.
type xposmap struct {
	// A map from file index to maps from line range to integers (block numbers)
	maps map[int32]*biasedSparseMap

A. Unique TensorFlower <******@****.***> 1605121757 -0800

            assertTrue(leaves.isEmpty())
        }

        classNamesFromTypeString("CustomTask").apply {
            assertThat(all, hasItems("CustomTask"))
            assertThat(leaves, hasItems("CustomTask"))
        }

        classNamesFromTypeString("java.util.List<String>").apply {
            assertThat(all, hasItems("java.util.List"))
            assertTrue(leaves.isEmpty())
        }

    public Lifecycle(String id, List<String> phases, Map<String, LifecyclePhase> defaultPhases) {
        this.id = id;
        this.phases = phases;
        this.defaultPhases = defaultPhases;
    }

    public Lifecycle(org.apache.maven.api.Lifecycle lifecycle) {
        this.lifecycle = lifecycle;
        this.id = lifecycle.id();
        this.phases = lifecycle.phases().stream()

}

// NewRunner return a new runner for composable kubeadm workflows.
func NewRunner() *Runner {
	return &Runner{
		Phases: []Phase{},
	}
}

// AppendPhase adds the given phase to the ordered sequence of phases managed by the runner.
func (e *Runner) AppendPhase(t Phase) {
	e.Phases = append(e.Phases, t)
}

// computePhaseRunFlags return a map defining which phase should be run and which not.

* `--tags`: Comma-separated list of tags for loading SavedModel. Ignored for
  MLIR input.
* `--input-arg-shapes`: A string representation of input argument shapes for
  'main' entry-point, separating tensors with ':', dimension with ',', and
  using '?' for unknown sizes. For example, `input-arg-shapes=1,2::1,?`
  expresses argument shapes `[1,2]`, `[]` and `[1,?]`.
* `--e`: Elide large elements attrs while dumping the output StableHLO.

        * tag_names: Comma-separated list of tags for loading SavedModel.
        * input-arg-shapes: A string representation of input argument shapes for
          'main' entry-point, separating tensors with ':', dimension with ',', and
          using '?' for unknown sizes. For example, 'input-arg-shapes=1,2::1,?'
          expresses argument shapes [1,2], [] and [1,?].
        )pbdoc",
      py::arg("input_path"),