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android/guava/src/com/google/common/collect/Ordering.java
* <li>{@link #nullsFirst} / {@link #nullsLast} * </ul> * * <h4>Using</h4> * * <p>Finally, use the resulting {@code Ordering} anywhere a {@link Comparator} is required, or use * any of its special operations, such as: * * <ul> * <li>{@link #immutableSortedCopy} * <li>{@link #isOrdered} / {@link #isStrictlyOrdered} * <li>{@link #min} / {@link #max} * </ul> *
Created: Fri Dec 26 12:43:10 GMT 2025 - Last Modified: Tue Sep 23 17:50:58 GMT 2025 - 39.5K bytes - Click Count (0) -
docs/en/docs/async.md
* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models. ### Concurrency + Parallelism: Web + Machine Learning { #concurrency-parallelism-web-machine-learning }
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sun Aug 31 09:56:21 GMT 2025 - 24K bytes - Click Count (0) -
cmd/metacache-set.go
// as no disk agrees on quorum anymore. askDisks = getListQuorum("strict", er.setDriveCount) } } var fallbackDisks []StorageAPI // Special case: ask all disks if the drive count is 4 if er.setDriveCount == 4 || askDisks > len(disks) { askDisks = len(disks) // use all available drives } // However many we ask, versions must exist on ~50%
Created: Sun Dec 28 19:28:13 GMT 2025 - Last Modified: Sun Sep 28 20:59:21 GMT 2025 - 30.7K bytes - Click Count (0) -
RELEASE.md
`data_service_ops.distribute`. Users can specify `"AUTO"`, `"ANY"`, or `"LOCAL"` (case insensitive). If `"AUTO"`, tf.data service runtime decides which workers to read from. If `"ANY"`, TF workers read from any tf.data service workers. If `"LOCAL"`, TF workers will only read from local in-processs tf.data service workers. `"AUTO"` works well for most
Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Tue Oct 28 22:27:41 GMT 2025 - 740.4K bytes - Click Count (3) -
CHANGELOG/CHANGELOG-1.32.md
Created: Fri Dec 26 09:05:12 GMT 2025 - Last Modified: Tue Dec 16 18:27:41 GMT 2025 - 448.1K bytes - Click Count (0) -
docs/fr/docs/async.md
### Concurrence + Parallélisme : Web + Machine Learning
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sun Aug 31 09:56:21 GMT 2025 - 25.4K bytes - Click Count (0) -
src/main/java/org/codelibs/fess/helper/SystemHelper.java
* * @param hook The shutdown hook to add. */ public void addShutdownHook(final Runnable hook) { shutdownHookList.add(hook); } /** * Gets the hostname of the local machine. * * @return The hostname. */ public String getHostname() { final Map<String, String> env = getEnvMap(); if (env.containsKey("COMPUTERNAME")) {Created: Sat Dec 20 09:19:18 GMT 2025 - Last Modified: Sat Dec 20 08:30:43 GMT 2025 - 36.6K bytes - Click Count (0) -
docs/pt/docs/virtual-environments.md
```mermaid flowchart LR azkaban(prisoner-of-azkaban) --> |requires| harry-3[harry v3] ``` Mas agora o problema é que, se você instalar os pacotes globalmente (no ambiente global) em vez de em um **ambiente virtual** local, você terá que escolher qual versão do `harry` instalar. Se você quiser executar `philosophers-stone`, precisará primeiro instalar `harry` versão `1`, por exemplo com: <div class="termy"> ```consoleCreated: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Tue Dec 16 20:32:40 GMT 2025 - 23.7K bytes - Click Count (0) -
docs/es/docs/virtual-environments.md
```mermaid flowchart LR azkaban(prisoner-of-azkaban) --> |requires| harry-3[harry v3] ``` Pero ahora el problema es, si instalas los paquetes globalmente (en el entorno global) en lugar de en un **entorno virtual local**, tendrás que elegir qué versión de `harry` instalar. Si deseas ejecutar `philosophers-stone` necesitarás primero instalar `harry` versión `1`, por ejemplo con: <div class="termy"> ```consoleCreated: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Tue Dec 16 16:33:45 GMT 2025 - 23.3K bytes - Click Count (0) -
src/main/java/jcifs/smb1/dcerpc/msrpc/lsarpc.java
import jcifs.smb1.dcerpc.rpc; import jcifs.smb1.dcerpc.ndr.NdrBuffer; import jcifs.smb1.dcerpc.ndr.NdrException; import jcifs.smb1.dcerpc.ndr.NdrObject; import jcifs.smb1.dcerpc.ndr.NdrSmall; /** * LSA RPC (Local Security Authority Remote Procedure Call) definitions. * Provides interface definitions and data structures for LSA RPC operations. */ public class lsarpc { /**
Created: Sat Dec 20 13:44:44 GMT 2025 - Last Modified: Sat Aug 16 01:32:48 GMT 2025 - 42.5K bytes - Click Count (0)