inv, ok2 := mud.invCumulativeSum(trackMass)

			if mass < trackMass {
				if ok {
					t.Errorf("approx(%g) = [%g, %g), but mass = %g", trackMass, l, u, mass)
				}
				if ok2 {
					t.Errorf("exact(%g) = %g, but mass = %g", trackMass, inv, mass)
				}
			} else {
				if !ok {
					t.Errorf("approx(%g) failed, but mass = %g", trackMass, mass)
				}
				if !ok2 {

        }
        def failure = null
        try {
            assert operation.runAndWait.duration in approx(5000)
        } catch (AssertionError e) {
            failure = e
        }

        then:
        failure != null
        failure.message.contains('operation.runAndWait.duration in approx(5000)')
    }

    def "can use instants to test that method executes one thing at a time"() {

/**
 * A range of time.
 */
class Range {
    private final long millis

    Range(long millis) {
        this.millis = millis
    }

    @Override
    String toString() {
        return "[approx $millis millis]"
    }

    boolean isCase(Duration duration) {
        def actualMillis = duration.millis
        return actualMillis > millis - 500 && actualMillis < millis + 2000
    }

 */

package org.gradle.launcher.daemon.server.health.gc;

import java.lang.management.GarbageCollectorMXBean;
import java.lang.management.ManagementFactory;

public class GarbageCollectionInfo {
    /**
     * Approx. time spent in gc. See {@link GarbageCollectorMXBean}
     */
    public long getCollectionTime() {
        long garbageCollectionTime = 0;

     */
    void start(Runnable action) {
        executor.execute(action)
    }

    /**
     * Returns a range that contains the given milliseconds +/- some error margin
     */
    Range approx(long millis) {
        return new Range(millis)
    }

  std::unique_ptr<Constant> revived;
  TF_EXPECT_OK(internal::TensorProtoToConstant(context(), proto, &revived));

  // The revived tensorhandle should have the exact same dtype, shape, +
  // approx equivalent data to the original.
  ImmediateExecutionTensorHandle* handle = revived->handle();
  Status status;
  AbstractTensorPtr revived_tensor(handle->Resolve(&status));

    public ResolutionResultsStoreFactory(TemporaryFileProvider temp) {
        this(temp, DEFAULT_MAX_SIZE);
    }

    /**
     * @param temp - Provider of temporary files.
     * @param maxSize - indicates the approx. maximum size of the binary store that will trigger rolling of the file
     */
    ResolutionResultsStoreFactory(TemporaryFileProvider temp, int maxSize) {
        this.temp = temp;
        this.maxSize = maxSize;
    }

// produces an incorrect value it fails with a hard error.
//
// erasureSelfTest tries to catch any issue in the erasure implementation
// early instead of silently corrupting data.
func erasureSelfTest() {
	// Approx runtime ~1ms
	var testConfigs [][2]uint8
	for total := uint8(4); total < 16; total++ {
		for data := total / 2; data < total; data++ {
			parity := total - data

    SymbolTable table(root);
    (void)table.renameToUnique(func, {});

    rewriter.setInsertionPointAfter(output_mul);
    auto composite_attrs = rewriter.getDictionaryAttr(
        {rewriter.getNamedAttr("approx", rewriter.getBoolAttr(false))});
    auto composite_op = rewriter.create<stablehlo::CompositeOp>(
        output_mul.getLoc(), func.getResultTypes()[0],

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package codegen

import "math"

var sink64 [8]float64

func approx(x float64) {
	// amd64/v2:-".*x86HasSSE41" amd64/v3:-".*x86HasSSE41"
	// amd64:"ROUNDSD\t[$]2"
	// s390x:"FIDBR\t[$]6"
	// arm64:"FRINTPD"
	// ppc64x:"FRIP"
	// wasm:"F64Ceil"
	sink64[0] = math.Ceil(x)