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Results 11 - 18 of 18 for Bates (0.33 sec)
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guava-tests/test/com/google/common/util/concurrent/RateLimiterTest.java
* we change the rate. */ public void testWeNeverGetABurstMoreThanOneSec() { RateLimiter limiter = RateLimiter.create(1.0, stopwatch); int[] rates = {1000, 1, 10, 1000000, 10, 1}; for (int rate : rates) { int oneSecWorthOfWork = rate; stopwatch.sleepMillis(rate * 1000); limiter.setRate(rate); long burst = measureTotalTimeMillis(limiter, oneSecWorthOfWork, new Random());
Java - Registered: Fri Apr 12 12:43:09 GMT 2024 - Last Modified: Wed Sep 06 17:04:31 GMT 2023 - 21.6K bytes - Viewed (0) -
guava/src/com/google/common/cache/Striped64.java
* only become known via CAS failures, convergence can be slow, * and because threads are typically not bound to CPUS forever, * may not occur at all. However, despite these limitations, * observed contention rates are typically low in these cases. * * It is possible for a Cell to become unused when threads that * once hashed to it terminate, as well as in the case where * doubling the table causes no thread to hash to it under
Java - Registered: Fri Apr 05 12:43:09 GMT 2024 - Last Modified: Thu Feb 22 17:40:56 GMT 2024 - 11.5K bytes - Viewed (0) -
android/guava/src/com/google/common/hash/HashFunction.java
* thoroughly as possible. * <li><b>bit-dispersing:</b> masking out any <i>single bit</i> from a hash code should yield only * the expected <i>twofold</i> increase to all collision rates. Informally, the "information" * in the hash code should be as evenly "spread out" through the hash code's bits as possible. * The result is that, for example, when choosing a bucket in a hash table of size 2^8,
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Tue May 25 18:22:59 GMT 2021 - 10.9K bytes - Viewed (0) -
guava-tests/test/com/google/common/hash/BloomFilterTest.java
double actualReportedFpp = bf.expectedFpp(); assertEquals(expectedReportedFpp, actualReportedFpp, 0.00033); } /** Sanity checking with many combinations of false positive rates and expected insertions */ public void testBasic() { for (double fpr = 0.0000001; fpr < 0.1; fpr *= 10) { for (int expectedInsertions = 1; expectedInsertions <= 10000; expectedInsertions *= 10) {
Java - Registered: Fri Apr 19 12:43:09 GMT 2024 - Last Modified: Thu Nov 09 22:49:56 GMT 2023 - 21.3K bytes - Viewed (0) -
okhttp-tls/src/test/java/okhttp3/tls/internal/der/DerCertificatesTest.kt
assertThat(decoded).isEqualTo(date("2050-01-01T00:00:00.000+0000").time) assertThat(encoded).isEqualTo(generalizedTimeDer) } /** * Conforming applications MUST be able to process validity dates that are encoded in either * UTCTime or GeneralizedTime. */ @Test fun `can read GENERALIZED_TIME before 2050`() { val generalizedTimeDer = "180f32303439313233313233353935395a".decodeHex()
Plain Text - Registered: Fri May 03 11:42:14 GMT 2024 - Last Modified: Mon Jan 08 01:13:22 GMT 2024 - 43.9K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/hash/BloomFilterTest.java
double actualReportedFpp = bf.expectedFpp(); assertEquals(expectedReportedFpp, actualReportedFpp, 0.00033); } /** Sanity checking with many combinations of false positive rates and expected insertions */ public void testBasic() { for (double fpr = 0.0000001; fpr < 0.1; fpr *= 10) { for (int expectedInsertions = 1; expectedInsertions <= 10000; expectedInsertions *= 10) {
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Thu Nov 09 22:49:56 GMT 2023 - 21.3K bytes - Viewed (0) -
manifests/addons/dashboards/istio-performance-dashboard.json
{ "datasource": { "type": "prometheus", "uid": "${datasource}" }, "refId": "A" } ], "title": "Memory and Data Rates", "type": "row" }, { "datasource": { "type": "prometheus", "uid": "${datasource}" }, "fieldConfig": { "defaults": { "color": {
Json - Registered: Wed May 08 22:53:08 GMT 2024 - Last Modified: Wed Mar 27 03:47:04 GMT 2024 - 39.6K bytes - Viewed (0) -
src/main/resources/fess_label_fr.properties
labels.search_result_more = plus.. labels.search_result_cache = Cache labels.search_result_similar = Résultats similaires ({0}) labels.facet_label_title = Étiqueter labels.facet_timestamp_title = Plage de dates labels.facet_timestamp_1day = Dernières 24 heures labels.facet_timestamp_1week = La semaine dernière labels.facet_timestamp_1month = Mois passé labels.facet_timestamp_1year = L'année passée
Properties - Registered: Mon May 06 08:04:11 GMT 2024 - Last Modified: Fri Mar 22 11:58:34 GMT 2024 - 46.6K bytes - Viewed (0)