firSymbolBuilder.buildSymbol(firBasedSymbol)
            },
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.INAPPLICABLE_CANDIDATE) { firDiagnostic ->
        InapplicableCandidateImpl(
            firSymbolBuilder.buildSymbol(firDiagnostic.a),
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }

  final long expireAfterAccessNanos;

  /** How long after the last write to an entry the map will retain that entry. */
  final long expireAfterWriteNanos;

  /** How long after the last write an entry becomes a candidate for refresh. */
  final long refreshNanos;

  /** Entries waiting to be consumed by the removal listener. */
  // TODO(fry): define a new type which creates event objects and automates the clear logic

  final long expireAfterAccessNanos;

  /** How long after the last write to an entry the map will retain that entry. */
  final long expireAfterWriteNanos;

  /** How long after the last write an entry becomes a candidate for refresh. */
  final long refreshNanos;

  /** Entries waiting to be consumed by the removal listener. */
  // TODO(fry): define a new type which creates event objects and automates the clear logic

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- Azure cloud provider can now be configured by Kubernetes secrets and a new option `cloudConfigType` has been introduced. Candidate values are `file`, `secret` or `merge` (default is `merge`). Note that the secret is a serialized version of `azure.json` file with key cloud-config. And the secret name is azure-cloud-provider in kube-system namespace. ([#78242](https://github....

  }

  public void testMod() {
    for (int x : ALL_INTEGER_CANDIDATES) {
      for (int m : POSITIVE_INTEGER_CANDIDATES) {
        assertEquals(valueOf(x).mod(valueOf(m)).intValue(), IntMath.mod(x, m));
      }
    }
  }

  public void testModNegativeModulusFails() {
    for (int x : POSITIVE_INTEGER_CANDIDATES) {
      for (int m : NEGATIVE_INTEGER_CANDIDATES) {
        try {
          IntMath.mod(x, m);

  }

  public void testMod() {
    for (int x : ALL_INTEGER_CANDIDATES) {
      for (int m : POSITIVE_INTEGER_CANDIDATES) {
        assertEquals(valueOf(x).mod(valueOf(m)).intValue(), IntMath.mod(x, m));
      }
    }
  }

  public void testModNegativeModulusFails() {
    for (int x : POSITIVE_INTEGER_CANDIDATES) {
      for (int m : NEGATIVE_INTEGER_CANDIDATES) {
        try {
          IntMath.mod(x, m);

    for (double a : DOUBLE_CANDIDATES_EXCEPT_NAN) {
      for (double b : DOUBLE_CANDIDATES_EXCEPT_NAN) {
        assertTrue(DoubleMath.fuzzyEquals(a, b, Double.POSITIVE_INFINITY));
      }
    }
  }

  public void testFuzzyEqualsOneNaN() {
    for (double a : DOUBLE_CANDIDATES_EXCEPT_NAN) {
      for (double tolerance : TOLERANCE_CANDIDATES) {

- Overall, enable the feature of `PreferNominatedNode` will  improve the performance of scheduling where preemption might frequently happen, but in theory, enable the feature of `PreferNominatedNode`, the pod might not be scheduled to the best candidate node in the cluster. ([#93179](https://github.com/kubernetes/kubernetes/pull/93179), [@chendave](https://github.com/chendave)) [SIG Scheduling and Testing]

 * limitations under the License.
 */

package com.google.common.math;

import static com.google.common.math.MathTesting.ALL_BIGINTEGER_CANDIDATES;
import static com.google.common.math.MathTesting.FINITE_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.POSITIVE_FINITE_DOUBLE_CANDIDATES;
import static org.junit.Assert.assertThrows;

import java.lang.reflect.Method;
import java.math.BigInteger;