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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);
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);
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(Stats.of(NEGATIVE_INFINITY).mean()).isNegativeInfinity(); assertThat(Stats.of(NaN).mean()).isNaN(); 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();
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); assertThat(manyValuesAccumulatorByAddAllStatsAccumulator.mean()) .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();
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-tests/test/com/google/common/math/StatsTest.java
assertThat(Stats.of(NEGATIVE_INFINITY).mean()).isNegativeInfinity(); assertThat(Stats.of(NaN).mean()).isNaN(); 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();
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) -
android/guava-tests/test/com/google/common/math/StatsAccumulatorTest.java
.isWithin(ALLOWED_ERROR) .of(MANY_VALUES_MEAN); assertThat(manyValuesAccumulatorByAddAllStatsAccumulator.mean()) .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();
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Wed Sep 06 17:04:31 GMT 2023 - 34K bytes - Viewed (0) -
guava-tests/test/com/google/common/math/PairedStatsAccumulatorTest.java
assertThat(manyValuesAccumulatorByAddAllPartitionedPairedStats.populationCovariance()) .isWithin(ALLOWED_ERROR) .of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT); // For datasets of many double values, we test many combinations of finite and non-finite // x-values: for (ManyValues values : ALL_MANY_VALUES) { PairedStatsAccumulator accumulator =
Java - Registered: Fri Apr 12 12:43:09 GMT 2024 - Last Modified: Wed Sep 06 17:04:31 GMT 2023 - 23.4K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/PairedStatsAccumulatorTest.java
assertThat(manyValuesAccumulatorByAddAllPartitionedPairedStats.populationCovariance()) .isWithin(ALLOWED_ERROR) .of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT); // For datasets of many double values, we test many combinations of finite and non-finite // x-values: for (ManyValues values : ALL_MANY_VALUES) { PairedStatsAccumulator accumulator =
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Wed Sep 06 17:04:31 GMT 2023 - 23.4K bytes - Viewed (0) -
guava-tests/test/com/google/common/math/QuantilesTest.java
// quite expensive (quadratic in the size of PSEUDORANDOM_DATASET). double[] dataset = Doubles.toArray(PSEUDORANDOM_DATASET); @SuppressWarnings("unused") double actual = percentiles().index(33).computeInPlace(dataset); assertThat(dataset).usingExactEquality().containsExactlyElementsIn(PSEUDORANDOM_DATASET); } public void testPercentiles_indexes_varargsPairs_compute_doubleCollection() {
Java - Registered: Fri Apr 12 12:43:09 GMT 2024 - Last Modified: Wed Sep 06 17:04:31 GMT 2023 - 29.7K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/QuantilesTest.java
// quite expensive (quadratic in the size of PSEUDORANDOM_DATASET). double[] dataset = Doubles.toArray(PSEUDORANDOM_DATASET); @SuppressWarnings("unused") double actual = percentiles().index(33).computeInPlace(dataset); assertThat(dataset).usingExactEquality().containsExactlyElementsIn(PSEUDORANDOM_DATASET); } public void testPercentiles_indexes_varargsPairs_compute_doubleCollection() {
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Wed Sep 06 17:04:31 GMT 2023 - 29.7K bytes - Viewed (0)