// value.
const (
	lengthMask = 0x07
	lengthBits = 3
	noChange   = 0
)

// References to generated trie.

var trie = newCaseTrie(0)

var sparse = sparseBlocks{
	values:  sparseValues[:],
	offsets: sparseOffsets[:],
}

// Sparse block lookup code.

// valueRange is an entry in a sparse block.
type valueRange struct {
	value  uint16
	lo, hi byte
}

	for _, kv := range setOverlay {
		kvv := strings.Split(kv, "=")
		if len(kvv) != 2 {
			return "", fmt.Errorf("bad argument %s: expect format key=value", kv)
		}
		k := kvv[0]
		v := util.ParseValue(kvv[1])
		if err := tpath.WriteNode(tree, util.PathFromString(k), v); err != nil {
			return "", err
		}
		// To make errors more user friendly, test the path and error out immediately if we cannot unmarshal.

}

func (p *parser) parseValue() ast.Expr {
	if p.trace {
		defer un(trace(p, "Element"))
	}

	if p.tok == token.LBRACE {
		return p.parseLiteralValue(nil)
	}

	x := p.parseExpr()

	return x
}

func (p *parser) parseElement() ast.Expr {
	if p.trace {
		defer un(trace(p, "Element"))
	}

	x := p.parseValue()
	if p.tok == token.COLON {

// sparseValues: 1395 entries, 5580 bytes
var sparseValues = [1395]valueRange{
	// Block 0x0, offset 0x0
	{value: 0x0004, lo: 0xa8, hi: 0xa8},
	{value: 0x0012, lo: 0xaa, hi: 0xaa},
	{value: 0x0014, lo: 0xad, hi: 0xad},

// sparseValues: 1360 entries, 5440 bytes
var sparseValues = [1360]valueRange{
	// Block 0x0, offset 0x0
	{value: 0x0004, lo: 0xa8, hi: 0xa8},
	{value: 0x0012, lo: 0xaa, hi: 0xaa},
	{value: 0x0014, lo: 0xad, hi: 0xad},

// sparseValues: 1483 entries, 5932 bytes
var sparseValues = [1483]valueRange{
	// Block 0x0, offset 0x0
	{value: 0x0004, lo: 0xa8, hi: 0xa8},
	{value: 0x0012, lo: 0xaa, hi: 0xaa},
	{value: 0x0014, lo: 0xad, hi: 0xad},

// sparseValues: 1418 entries, 5672 bytes
var sparseValues = [1418]valueRange{
	// Block 0x0, offset 0x0
	{value: 0x0004, lo: 0xa8, hi: 0xa8},
	{value: 0x0012, lo: 0xaa, hi: 0xaa},
	{value: 0x0014, lo: 0xad, hi: 0xad},

// sparseValues: 1451 entries, 5804 bytes
var sparseValues = [1451]valueRange{
	// Block 0x0, offset 0x0
	{value: 0x0004, lo: 0xa8, hi: 0xa8},
	{value: 0x0012, lo: 0xaa, hi: 0xaa},
	{value: 0x0014, lo: 0xad, hi: 0xad},

// sparseValues: 1562 entries, 6248 bytes
var sparseValues = [1562]valueRange{
	// Block 0x0, offset 0x0
	{value: 0x0004, lo: 0xa8, hi: 0xa8},
	{value: 0x0012, lo: 0xaa, hi: 0xaa},
	{value: 0x0014, lo: 0xad, hi: 0xad},

    *   `LinearOperator.matmul` now returns a new `LinearOperator`.
*   New ops and improved op functionality
    *   Add a Nearest Neighbor Resize op.
    *   Add an `ignore_unknown` argument to `parse_values` which suppresses
        ValueError for unknown hyperparameter types. Such * Add
        `tf.linalg.matvec` convenience function.
    *   `tf.einsum()`raises `ValueError` for unsupported equations like