@Override
    public NavigableSet<E> headSet(@ParametricNullness E toElement, boolean inclusive) {
      return filter(unfiltered().headSet(toElement, inclusive), predicate);
    }

    @Override
    public NavigableSet<E> tailSet(@ParametricNullness E fromElement, boolean inclusive) {
      return filter(unfiltered().tailSet(fromElement, inclusive), predicate);
    }
  }

  /**

on:
  workflow_run:
    workflows: [Test]
    types: [completed]

permissions:
  statuses: write

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  smokeshow:
    if: ${{ github.event.workflow_run.conclusion == 'success' }}
    runs-on: ubuntu-latest

    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"

And you have to wait 🕙 in the line for a long time or you lose your turn.

You probably wouldn't want to take your crush 😍 with you to run errands at the bank 🏦.

### Burger Conclusion { #burger-conclusion }

In this scenario of "fast food burgers with your crush", as there is a lot of waiting 🕙, it makes a lot more sense to have a concurrent system ⏸🔀⏯.

This is the case for most of the web applications.

   * value} is greater than {@code max}, {@code max} is returned.
   *
   * @param value the {@code char} value to constrain
   * @param min the lower bound (inclusive) of the range to constrain {@code value} to
   * @param max the upper bound (inclusive) of the range to constrain {@code value} to
   * @throws IllegalArgumentException if {@code min > max}
   * @since 21.0
   */

   *
   * <p><b>Java 21+ users:</b> Use {@code Math.clamp} instead.
   *
   * @param value the {@code float} value to constrain
   * @param min the lower bound (inclusive) of the range to constrain {@code value} to
   * @param max the upper bound (inclusive) of the range to constrain {@code value} to
   * @throws IllegalArgumentException if {@code min > max}
   * @since 21.0
   */

        // Of course, we have to use binary search to find the precise
        // breakpoint...
        int lower = foundIndex;
        int upper = list.size() - 1;
        // Everything between lower and upper inclusive compares at >= 0.
        while (lower < upper) {
          int middle = (lower + upper + 1) >>> 1;
          int c = comparator.compare(list.get(middle), key);
          if (c > 0) {
            upper = middle - 1;

   *
   * <p><b>Java 21+ users:</b> Use {@code Math.clamp} instead.
   *
   * @param value the {@code double} value to constrain
   * @param min the lower bound (inclusive) of the range to constrain {@code value} to
   * @param max the upper bound (inclusive) of the range to constrain {@code value} to
   * @throws IllegalArgumentException if {@code min > max}
   * @since 21.0
   */

        List<String> exclusions = new ArrayList<String>();

        for ( Dependency d : project.getDependencies() )
        {
            if ( d.getExclusions() != null )
            {
                for ( Exclusion e : d.getExclusions() )
                {
                    exclusions.add(  e.getGroupId() + ":" + e.getArtifactId() );
                }
            }
        }

   */
  private static long flip(long a) {
    return a ^ Long.MIN_VALUE;
  }

  /**
   * Compares the two specified {@code long} values, treating them as unsigned values between {@code
   * 0} and {@code 2^64 - 1} inclusive.
   *
   * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated; use the
   * equivalent {@link Long#compareUnsigned(long, long)} method instead.
   *

			<groupId>org.junit.platform</groupId>
			<artifactId>junit-platform-runner</artifactId>
			<version>1.10.3</version>
			<scope>test</scope>
			<exclusions>
				<exclusion>
					<groupId>junit</groupId>
					<artifactId>junit</artifactId>
				</exclusion>
			</exclusions>
		</dependency>
		<dependency>
			<groupId>org.hamcrest</groupId>
			<artifactId>hamcrest</artifactId>
			<version>2.2</version>