// but using the sign of z for rounding the result.
// x and y must have a non-empty mantissa and valid exponent.
func (z *Float) usub(x, y *Float) {
	// This code is symmetric to uadd.
	// We have not factored the common code out because
	// eventually uadd (and usub) should be optimized
	// by special-casing, and the code will diverge.

	if debugFloat {
		validateBinaryOperands(x, y)
	}

        }
        catch ( CIFSException e ) {
            throw SmbException.wrap(e);
        }
    }


    /**
     * Returns the full URL of this SMB resource with '.' and '..' components
     * factored out. An <code>SmbFile</code> constructed with the result of
     * this method will result in an <code>SmbFile</code> that is equal to
     * the original.
     *

	// disproportionately affect small heaps: as heaps get smaller, the pacer's inputs get fuzzier.
	// Shorter GC cycles and less GC work means noisy external factors like the OS scheduler have a
	// greater impact.

	memoryLimit := uint64(c.memoryLimit.Load())

	// Compute term 1.
	nonHeapMemory := mappedReady - heapFree - heapAlloc

	// Compute term 2.

            return "\\\\" + url.getHost();
        }
        return "\\\\" + url.getHost() + canon.replace( '/', '\\' );
    }
/**
 * Returns the full URL of this SMB resource with '.' and '..' components
 * factored out. An <code>SmbFile</code> constructed with the result of
 * this method will result in an <code>SmbFile</code> that is equal to
 * the original.
 *
 * @return  The canonicalized URL of this SMB resource.
 */

}

def GroupByDialectPass : Pass<"tf-group-by-dialect", "mlir::ModuleOp"> {
  let summary = "Groups ops into functions that only contain one dialect.";
  let description = [{
      Factors operations into subroutines such that all functions only
      contain a single dialect. Which of the dialects are allowed in the
      "top" function is configurable.

      For example, the code
        x.a()

			// TODO: Improve this part. At least the size of endRegs of the predecessor also has
			// an impact on the code size and compiler speed. But it is not easy to find a simple
			// and efficient method that combines multiple factors.
			idx := -1
			for i, p := range b.Preds {
				// If the predecessor has not been visited yet, skip it because its end state
				// (redRegs and spillLive) has not been computed yet.
				pb := p.b

func (l *Loader) LoadSyms(arch *sys.Arch) {
	// Allocate space for symbols, making a guess as to how much space we need.
	// This function was determined empirically by looking at the cmd/compile on
	// Darwin, and picking factors for hashed and hashed64 syms.
	var symSize, hashedSize, hashed64Size int
	for _, r := range l.objs[goObjStart:] {
		symSize += r.ndef + r.nhasheddef/2 + r.nhashed64def/2 + r.NNonpkgdef()
		hashedSize += r.nhasheddef / 2

pass for now, but should be integrated with some notion of "target" in the
MLIR pipeline in the future.
### `-tf-group-by-dialect`

_Groups ops into functions that only contain one dialect._

Factors operations into subroutines such that all functions only
contain a single dialect. Which of the dialects are allowed in the
"top" function is configurable.

For example, the code
  x.a()
  x.b()
  %c = y.c()

    Arg<TF_Float32Tensor, [{The float value(s) used as scale factors when quantizing the original data that `lhs` represents.}]>:$lhs_scales,
    Arg<TF_Int32Tensor, [{The int32 value(s) used as zero points when quantizing original data that `lhs` represents.
Must have same shape with `lhs_scales`.}]>:$lhs_zero_points,
    Arg<TF_Float32Tensor, [{The float value(s) used as scale factors when quantizing the original data that `rhs` represents.}]>:$rhs_scales,

//
//	go 1.18
//
//	use ../foo/bar
//	use ./baz
//
//	replace example.com/foo v1.2.3 => example.com/bar v1.4.5
//
// The leading keyword can be factored out of adjacent lines to create a block,
// like in Go imports.
//
//	use (
//	  ../foo/bar
//	  ./baz
//	)
//
// The use directive specifies a module to be included in the workspace's