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guava-tests/test/com/google/common/hash/HashingTest.java
import java.util.Locale; import java.util.Random; import junit.framework.TestCase; /** * Unit tests for {@link Hashing}. * * <p>TODO(b/33919189): Migrate repeated testing methods to {@link HashTestUtils} and tweak unit * tests to reference them from there. * * @author Dimitris Andreou * @author Kurt Alfred Kluever */ public class HashingTest extends TestCase { public void testMd5() {
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Tue Jul 09 17:40:09 UTC 2024 - 26.3K bytes - Viewed (0) -
guava/src/com/google/common/base/FinalizableReferenceQueue.java
void cleanUp() { if (threadStarted) { return; } Reference<?> reference; while ((reference = queue.poll()) != null) { /* * This is for the benefit of phantom references. Weak and soft references will have already * been cleared by this point. */ reference.clear(); try { ((FinalizableReference) reference).finalizeReferent(); } catch (Throwable t) {
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Thu Jul 11 20:51:36 UTC 2024 - 13.1K bytes - Viewed (0) -
guava/src/com/google/common/util/concurrent/SmoothRateLimiter.java
* 9.0], [9.0, 10.0] (and so on), no matter what the function is. This guarantees that we handle * correctly requests of varying weight (permits), /no matter/ what the actual function is - so we * can tweak the latter freely. (The only requirement, obviously, is that we can compute its * integrals). * * Note well that if, for this function, we chose a horizontal line, at height of exactly (1/QPS),
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Tue Apr 04 09:45:04 UTC 2023 - 19.3K bytes - Viewed (0) -
android/guava/src/com/google/common/hash/HashFunction.java
* they end up depending on <i>other</i> existing poor-quality {@code hashCode} implementations, * including those in many JDK classes. * * <p>{@code Object.hashCode} implementations tend to be very fast, but have weak collision * prevention and <i>no</i> expectation of bit dispersion. This leaves them perfectly suitable for * use in hash tables, because extra collisions cause only a slight performance hit, while poor bit
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Tue May 25 18:22:59 UTC 2021 - 10.9K bytes - Viewed (0) -
guava/src/com/google/common/hash/HashFunction.java
* they end up depending on <i>other</i> existing poor-quality {@code hashCode} implementations, * including those in many JDK classes. * * <p>{@code Object.hashCode} implementations tend to be very fast, but have weak collision * prevention and <i>no</i> expectation of bit dispersion. This leaves them perfectly suitable for * use in hash tables, because extra collisions cause only a slight performance hit, while poor bit
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Tue May 25 18:22:59 UTC 2021 - 10.9K bytes - Viewed (0) -
guava/src/com/google/common/util/concurrent/ExecutionSequencer.java
// // If we were to cancel taskFuture, that would let the next task start while the old // one is still running. // // Now, maybe we could tweak our implementation to not start the next task until the // callable actually completes. (We could detect completion in our wrapper // `AsyncCallable task`.) However, our contract also promises:
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Thu Feb 01 21:46:34 UTC 2024 - 22.1K bytes - Viewed (0) -
docs/en/docs/release-notes.md
* 🔧 Update sponsors: add Fine. PR [#11784](https://github.com/tiangolo/fastapi/pull/11784) by [@tiangolo](https://github.com/tiangolo). * 🔧 Tweak sponsors: Kong URL. PR [#11765](https://github.com/tiangolo/fastapi/pull/11765) by [@tiangolo](https://github.com/tiangolo). * 🔧 Tweak sponsors: Kong URL. PR [#11764](https://github.com/tiangolo/fastapi/pull/11764) by [@tiangolo](https://github.com/tiangolo).
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Fri Nov 01 11:25:57 UTC 2024 - 460.3K bytes - Viewed (0) -
guava/src/com/google/common/cache/CacheBuilder.java
*/ @GwtIncompatible // java.lang.ref.WeakReference @CanIgnoreReturnValue public CacheBuilder<K, V> weakKeys() { return setKeyStrength(Strength.WEAK); } @CanIgnoreReturnValue CacheBuilder<K, V> setKeyStrength(Strength strength) { checkState(keyStrength == null, "Key strength was already set to %s", keyStrength);
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri Oct 18 19:07:49 UTC 2024 - 51.6K bytes - Viewed (0) -
guava-gwt/src-super/com/google/common/cache/super/com/google/common/cache/LocalCache.java
return Equivalence.equals(); } }, SOFT { @Override Equivalence<Object> defaultEquivalence() { return Equivalence.identity(); } }, WEAK { @Override Equivalence<Object> defaultEquivalence() { return Equivalence.identity(); } }; abstract Equivalence<Object> defaultEquivalence(); } /**
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Tue Feb 27 19:19:19 UTC 2024 - 21.6K bytes - Viewed (0) -
docs/en/docs/deployment/concepts.md
You could put an **arbitrary number** to target, for example, something **between 50% to 90%** of resource utilization. The point is that those are probably the main things you will want to measure and use to tweak your deployments. You can use simple tools like `htop` to see the CPU and RAM used in your server or the amount used by each process. Or you can use more complex monitoring tools, which may be distributed across servers, etc.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Wed Sep 18 16:09:57 UTC 2024 - 17.8K bytes - Viewed (0)