package com.google.common.math;

import java.math.BigInteger;
import java.util.Random;

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */

/**
 * A callback interface to process bytes from a stream.
 *
 * <p>{@link #processBytes} will be called for each chunk of data that is read, and should return
 * {@code false} when you want to stop processing.
 *
 * @author Chris Nokleberg
 * @since 1.0
 */
@DoNotMock("Implement it normally")
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault

    // we really just want to wait for the thread to be in the failure callback so we wait for that
    // explicitly instead.
    failEnter.await();
    assertFalse("State should be updated before calling listeners", manager.isHealthy());
    // now we want to stop the services.
    Thread stoppingThread =
        new Thread() {
          @Override

 *
 * <p>Tests should inherit from this class, and declare subtyping relationship with public methods
 * annotated by {@link TestSubtype}.
 *
 * <p>These declaration methods rely on Java static type checking to make sure what we want to
 * assert as subtypes are really subtypes according to javac. For example:
 *
 * <pre>{@code
 * class MySubtypeTests extends SubtypeTester {
 *   @TestSubtype(suppressGetSubtype = true, suppressGetSupertype = true)

      return DELEGATE.next(value);
    }

    @Override
    public Integer previous(Integer value) {
      return DELEGATE.previous(value);
    }

    // Do *not* override offset() to delegate: We want to test the default implementation.

    @Override
    public long distance(Integer start, Integer end) {
      return DELEGATE.distance(start, end);
    }

    @Override
    public Integer minValue() {

        with:
          results_file: results.sarif
          results_format: sarif
          # (Optional) "write" PAT token. Uncomment the `repo_token` line below if:
          # - you want to enable the Branch-Protection check on a *public* repository, or
          # - you are installing Scorecard on a *private* repository

 * arbitrary q-quantiles, use {@link #scale scale(q)}.
 *
 * <p>These examples all take a copy of your dataset. If you have a double array, you are okay with
 * it being arbitrarily reordered, and you want to avoid that copy, you can use {@code
 * computeInPlace} instead of {@code compute}.
 *
 * <h3>Definition and notes on interpolation</h3>
 *

   * </ul>
   *
   * <p>This method is suitable for the common use case of dividing work among buckets that meet the
   * following conditions:
   *
   * <ul>
   *   <li>You want to assign the same fraction of inputs to each bucket.
   *   <li>When you reduce the number of buckets, you can accept that the most recently added

      return uncheckedCastNullableTToT(value);
    }

    @Override
    public String toString() {
      // This is a little strange if the unit the user provided was not NANOS,
      // but we don't want to store the unit just for toString
      return "Suppliers.memoizeWithExpiration(" + delegate + ", " + durationNanos + ", NANOS)";
    }

    private static final long serialVersionUID = 0;
  }

 * Converter.apply (like Converter.convert) is capable of accepting null inputs. However, a
 * supertype of `Function<A, B>` turns out to be massively more useful to callers in practice: They
 * want their output to be non-null in operations like `stream.map(myConverter)`, and we can
 * guarantee that as long as we also require the input type to be non-null[*] (which is a
 * requirement that existing callers already fulfill).