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Results 11 - 17 of 17 for footprint (0.15 sec)
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guava-tests/benchmark/com/google/common/util/concurrent/ExecutionListBenchmark.java
import com.google.caliper.AfterExperiment; import com.google.caliper.BeforeExperiment; import com.google.caliper.Benchmark; import com.google.caliper.Param; import com.google.caliper.api.Footprint; import com.google.caliper.api.VmOptions; import com.google.common.base.Preconditions; import com.google.common.collect.Lists; import com.google.common.util.concurrent.AbstractFutureBenchmarks.OldAbstractFuture;
Java - Registered: Fri Apr 19 12:43:09 GMT 2024 - Last Modified: Mon Apr 17 15:19:38 GMT 2023 - 20.4K bytes - Viewed (0) -
android/guava/src/com/google/common/primitives/ImmutableLongArray.java
* <li>Access to all collection-based utilities via {@link #asList} (though at the cost of * allocating garbage). * </ul> * * <p>Disadvantages compared to {@code long[]}: * * <ul> * <li>Memory footprint has a fixed overhead (about 24 bytes per instance). * <li><i>Some</i> construction use cases force the data to be copied (though several construction * APIs are offered that don't).
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Fri May 12 16:34:24 GMT 2023 - 18.9K bytes - Viewed (0) -
android/guava/src/com/google/common/util/concurrent/Striped.java
* lock, but also maximizes memory footprint. On the other extreme, one could use a single lock for * all tasks, which minimizes memory footprint but also minimizes concurrency. Instead of choosing * either of these extremes, {@code Striped} allows the user to trade between required concurrency * and memory footprint. For example, if a set of tasks are CPU-bound, one could easily create a
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Mon Apr 10 20:55:18 GMT 2023 - 20.3K bytes - Viewed (1) -
android/guava/src/com/google/common/collect/ObjectCountLinkedHashMap.java
* traditional {@code LinkedHashMap} implementation which stores keys and count values as map * entries, {@code ObjectCountLinkedHashMap} minimizes object allocation and reduces memory * footprint. */ @GwtCompatible(serializable = true, emulated = true) @ElementTypesAreNonnullByDefault class ObjectCountLinkedHashMap<K extends @Nullable Object> extends ObjectCountHashMap<K> {
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Tue Jun 01 22:07:10 GMT 2021 - 5.9K bytes - Viewed (0) -
android/guava/src/com/google/common/collect/ObjectCountHashMap.java
* a traditional {@code HashMap} implementation which stores keys and count values as map entries, * {@code ObjectCountHashMap} minimizes object allocation and reduces memory footprint. * * <p>In the absence of element deletions, this will iterate over elements in insertion order. */ @GwtCompatible(serializable = true, emulated = true) @ElementTypesAreNonnullByDefault
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Tue Jun 01 22:07:10 GMT 2021 - 15K bytes - Viewed (0) -
android/guava/src/com/google/common/collect/Sets.java
* E} is an {@link Enum} type, use {@link EnumSet#noneOf} instead. Otherwise, strongly consider * using a {@code LinkedHashSet} instead, at the cost of increased memory footprint, to get * deterministic iteration behavior. * * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated. Instead, * use the {@code HashSet} constructor directly, taking advantage of <a
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Wed May 01 18:44:57 GMT 2024 - 77.4K bytes - Viewed (0) -
android/guava/src/com/google/common/util/concurrent/ExecutionSequencer.java
* hashmaps. Using a static ThreadLocal to avoid that overhead would mean that different * ExecutionSequencer objects interfere with each other, which would be undesirable, in addition * to increasing the memory footprint of every thread that interacted with it. In order to release * entries in thread-specific maps when the ThreadLocal object itself is no longer referenced,
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Thu Feb 01 21:46:34 GMT 2024 - 22.1K bytes - Viewed (0)