- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 28 for einige (0.35 sec)
-
guava-tests/test/com/google/common/math/PairedStatsTest.java
assertThat(TWO_VALUES_PAIRED_STATS.populationCovariance()) .isWithin(ALLOWED_ERROR) .of(TWO_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / 2); // For datasets of many double values, we test many combinations of finite and non-finite // x-values: for (ManyValues values : ALL_MANY_VALUES) { PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES); double populationCovariance = stats.populationCovariance();
Java - Registered: Fri Apr 12 12:43:09 GMT 2024 - Last Modified: Wed Sep 06 17:04:31 GMT 2023 - 14K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/PairedStatsTest.java
assertThat(TWO_VALUES_PAIRED_STATS.populationCovariance()) .isWithin(ALLOWED_ERROR) .of(TWO_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / 2); // For datasets of many double values, we test many combinations of finite and non-finite // x-values: for (ManyValues values : ALL_MANY_VALUES) { PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES); double populationCovariance = stats.populationCovariance();
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Wed Sep 06 17:04:31 GMT 2023 - 14K bytes - Viewed (0) -
guava-tests/test/com/google/common/math/StatsTest.java
assertThat(TWO_VALUES_STATS.mean()).isWithin(ALLOWED_ERROR).of(TWO_VALUES_MEAN); // For datasets of many double values created from an array, we test many combinations of finite // and non-finite values: for (ManyValues values : ALL_MANY_VALUES) { double mean = Stats.of(values.asArray()).mean(); if (values.hasAnyNaN()) { assertWithMessage("mean of " + values).that(mean).isNaN();
Java - Registered: Fri Apr 12 12:43:09 GMT 2024 - Last Modified: Thu Nov 09 22:49:56 GMT 2023 - 32.1K bytes - Viewed (0) -
guava-tests/test/com/google/common/math/StatsAccumulatorTest.java
.isWithin(ALLOWED_ERROR) .of(MANY_VALUES_MEAN); // For datasets of many double values created from an iterable, we test many combinations of // finite and non-finite values: for (ManyValues values : ALL_MANY_VALUES) { StatsAccumulator accumulator = new StatsAccumulator(); StatsAccumulator accumulatorByAddAllStats = new StatsAccumulator();
Java - Registered: Fri Apr 12 12:43:09 GMT 2024 - Last Modified: Wed Sep 06 17:04:31 GMT 2023 - 36.5K bytes - Viewed (0) -
android/guava-testlib/src/com/google/common/collect/testing/google/UnmodifiableCollectionTests.java
} catch (UnsupportedOperationException expected) { } } /** * Verifies that an Iterator is unmodifiable. * * <p>This test only works with iterators that iterate over a finite set. */ public static void assertIteratorIsUnmodifiable(Iterator<?> iterator) { while (iterator.hasNext()) { iterator.next(); try { iterator.remove();
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Mon Feb 26 19:46:10 GMT 2024 - 14.8K bytes - Viewed (0) -
android/guava/src/com/google/common/math/Quantiles.java
* infinite value and itself, the infinite value is returned. If required to do a weighted average * between {@link Double#NEGATIVE_INFINITY NEGATIVE_INFINITY} and {@link Double#POSITIVE_INFINITY * POSITIVE_INFINITY}, {@link Double#NaN NaN} is returned (note that this will only happen if the * dataset contains no finite values). * * <h3>Performance</h3> *
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Fri May 12 17:02:53 GMT 2023 - 29.9K bytes - Viewed (0) -
android/guava/src/com/google/common/math/StatsAccumulator.java
* * Consequently: * 1. If the previous mean is finite and the new value is non-finite then the new mean is that * value (whether it is NaN or infinity). * 2. If the new value is finite and the previous mean is non-finite then the mean is unchanged * (whether it is NaN or infinity). * 3. If both the previous mean and the new value are non-finite and...
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Fri May 12 17:02:53 GMT 2023 - 14.2K bytes - Viewed (0) -
guava-tests/test/com/google/common/math/DoubleMathTest.java
-20, Double.NaN, Double.NEGATIVE_INFINITY, -0.001); public void testFuzzyEqualsFinite() { for (double a : FINITE_DOUBLE_CANDIDATES) { for (double b : FINITE_DOUBLE_CANDIDATES) { for (double tolerance : FINITE_TOLERANCE_CANDIDATES) { assertEquals(Math.abs(a - b) <= tolerance, DoubleMath.fuzzyEquals(a, b, tolerance)); } } } }
Java - Registered: Fri Apr 12 12:43:09 GMT 2024 - Last Modified: Wed Feb 07 17:50:39 GMT 2024 - 28.1K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/MathTesting.java
fractionalBuilder.add(x); } } FRACTIONAL_DOUBLE_CANDIDATES = fractionalBuilder.build(); FINITE_DOUBLE_CANDIDATES = Iterables.concat(FRACTIONAL_DOUBLE_CANDIDATES, INTEGRAL_DOUBLE_CANDIDATES); POSITIVE_FINITE_DOUBLE_CANDIDATES = Iterables.filter( FINITE_DOUBLE_CANDIDATES, new Predicate<Double>() { @Override
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Mon Oct 10 19:45:10 GMT 2022 - 11.2K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/StatsTest.java
assertThat(TWO_VALUES_STATS.mean()).isWithin(ALLOWED_ERROR).of(TWO_VALUES_MEAN); // For datasets of many double values created from an array, we test many combinations of finite // and non-finite values: for (ManyValues values : ALL_MANY_VALUES) { double mean = Stats.of(values.asArray()).mean(); if (values.hasAnyNaN()) { assertWithMessage("mean of " + values).that(mean).isNaN();
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Wed Sep 06 17:04:31 GMT 2023 - 28.4K bytes - Viewed (0)