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Results 1 - 10 of 58 for xerces (0.04 sec)
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fess-crawler/pom.xml
</dependency> <dependency> <groupId>org.apache.tika</groupId> <artifactId>tika-parser-xml-module</artifactId> <version>${tika.version}</version> <exclusions> <exclusion> <groupId>xerces</groupId> <artifactId>xercesImpl</artifactId> </exclusion> </exclusions> </dependency> <dependency> <groupId>org.codelibs</groupId> <artifactId>jhighlight</artifactId>
Registered: Sat Dec 20 11:21:39 UTC 2025 - Last Modified: Sat Dec 20 06:34:36 UTC 2025 - 12.1K bytes - Viewed (0) -
src/main/java/org/codelibs/fess/Constants.java
public static final String SYSTEM_PROP_PREFIX = "fess.system."; /** Configuration prefix for Fess settings. */ public static final String FESS_CONFIG_PREFIX = "fess.config."; /** Xerces feature prefix for XML processing. */ public static final String XERCES_FEATURE_PREFIX = "http://apache.org/xml/features/"; /** Load external DTD feature name. */Registered: Sat Dec 20 09:19:18 UTC 2025 - Last Modified: Sat Dec 13 02:21:17 UTC 2025 - 35.2K bytes - Viewed (0) -
guava/src/com/google/common/net/InetAddresses.java
Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Wed Feb 19 21:24:11 UTC 2025 - 47.4K bytes - Viewed (0) -
guava/src/com/google/common/math/Stats.java
* * @param values a series of values */ public static Stats of(double... values) { StatsAccumulator accumulator = new StatsAccumulator(); accumulator.addAll(values); return accumulator.snapshot(); } /** * Returns statistics over a dataset containing the given values. * * @param values a series of values */ public static Stats of(int... values) {
Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Tue Jul 08 18:32:10 UTC 2025 - 24.8K bytes - Viewed (0) -
android/guava/src/com/google/common/math/StatsAccumulator.java
Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Mon Apr 14 16:36:11 UTC 2025 - 15.8K bytes - Viewed (0) -
src/main/java/org/codelibs/fess/exec/Crawler.java
import org.opensearch.monitor.process.ProcessProbe; import jakarta.annotation.Resource; /** * Main executable class for running crawling operations in the Fess search engine. * This class serves as the entry point for crawling web content, file systems, and data stores. * It manages the crawling lifecycle, including initialization, execution coordination, * monitoring, and cleanup operations. *
Registered: Sat Dec 20 09:19:18 UTC 2025 - Last Modified: Fri Nov 28 16:29:12 UTC 2025 - 31.4K bytes - Viewed (0) -
android/guava/src/com/google/common/net/InetAddresses.java
Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Wed Feb 19 21:24:11 UTC 2025 - 47.4K bytes - Viewed (0) -
android/guava/src/com/google/common/base/Ascii.java
* * @since 8.0 */ public static final byte BS = 8; /** * Horizontal Tabulation ('\t'): A format effector which controls the movement of the printing * position to the next in a series of predetermined positions along the printing line. * (Applicable also to display devices and the skip function on punched cards.) * * @since 8.0 */ public static final byte HT = 9; /**
Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Mon Mar 17 20:26:29 UTC 2025 - 21.7K bytes - Viewed (0) -
okhttp/src/jvmTest/kotlin/okhttp3/internal/tls/CertificatePinnerChainValidationTest.kt
.build() // The attacker compromises the root CA, issues an intermediate with the same common name // "intermediate_ca" as the good CA. This signs a rogue certificate for localhost. The server // serves the good CAs certificate in the chain, which means the certificate pinner sees a // different set of certificates than the SSL verifier. val compromisedIntermediateCa = HeldCertificate .Builder()
Registered: Fri Dec 26 11:42:13 UTC 2025 - Last Modified: Fri Jun 20 11:46:46 UTC 2025 - 24.3K bytes - Viewed (2) -
guava/src/com/google/common/math/PairedStatsAccumulator.java
public void add(double x, double y) { // We extend the recursive expression for the one-variable case at Art of Computer Programming // vol. 2, Knuth, 4.2.2, (16) to the two-variable case. We have two value series x_i and y_i. // We define the arithmetic means X_n = 1/n \sum_{i=1}^n x_i, and Y_n = 1/n \sum_{i=1}^n y_i. // We also define the sum of the products of the differences from the means
Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Mon Sep 08 18:35:13 UTC 2025 - 10.4K bytes - Viewed (0)