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android/guava/src/com/google/common/math/StatsAccumulator.java
* 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... * 3a. ...either or both is NaN (so mean != value) then the new mean is NaN.
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Wed Oct 23 16:45:30 UTC 2024 - 15.8K bytes - Viewed (0) -
guava/src/com/google/common/math/Stats.java
* the arithmetic mean of the population. * * <h3>Non-finite values</h3> * * <p>If the dataset contains {@link Double#NaN} then the result is {@link Double#NaN}. If it * contains both {@link Double#POSITIVE_INFINITY} and {@link Double#NEGATIVE_INFINITY} then the * result is {@link Double#NaN}. If it contains {@link Double#POSITIVE_INFINITY} and finite values
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Wed Oct 23 16:45:30 UTC 2024 - 24.9K bytes - Viewed (0) -
guava/src/com/google/common/math/PairedStatsAccumulator.java
} else { // This is a generalized version of the calculation in add(double, double) above. Note that // non-finite inputs will have sumOfProductsOfDeltas = NaN, so non-finite values will result // in NaN naturally. sumOfProductsOfDeltas += values.sumOfProductsOfDeltas() + (values.xStats().mean() - xStats.mean()) * (values.yStats().mean() - yStats.mean())
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 10.3K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/LinearTransformationTest.java
} public void testMapping_nanY1() { assertThrows( IllegalArgumentException.class, () -> LinearTransformation.mapping(1.2, Double.NaN)); } public void testMappingAnd_nanX2() { assertThrows( IllegalArgumentException.class, () -> LinearTransformation.mapping(1.2, 3.4).and(Double.NaN, 7.8)); }
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Wed Sep 06 17:04:31 UTC 2023 - 7.1K bytes - Viewed (0) -
guava-tests/test/com/google/common/math/LinearTransformationTest.java
} public void testMapping_nanY1() { assertThrows( IllegalArgumentException.class, () -> LinearTransformation.mapping(1.2, Double.NaN)); } public void testMappingAnd_nanX2() { assertThrows( IllegalArgumentException.class, () -> LinearTransformation.mapping(1.2, 3.4).and(Double.NaN, 7.8)); }
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Wed Sep 06 17:04:31 UTC 2023 - 7.1K bytes - Viewed (0) -
android/guava/src/com/google/common/math/PairedStatsAccumulator.java
} else { // This is a generalized version of the calculation in add(double, double) above. Note that // non-finite inputs will have sumOfProductsOfDeltas = NaN, so non-finite values will result // in NaN naturally. sumOfProductsOfDeltas += values.sumOfProductsOfDeltas() + (values.xStats().mean() - xStats.mean()) * (values.yStats().mean() - yStats.mean())
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 10.3K bytes - Viewed (0) -
tests/test_allow_inf_nan_in_enforcing.py
("-inf", 200), ("nan", 200), ("0", 200), ("342", 200), ], ) def test_allow_inf_nan_param_default(value: str, code: int): response = client.post(f"/?z={value}") assert response.status_code == code, response.text @pytest.mark.parametrize( "value,code", [ ("-1", 200), ("inf", 422), ("-inf", 422), ("nan", 422), ("0", 200),
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sat Aug 24 19:27:37 UTC 2024 - 1.8K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/primitives/DoublesTest.java
.that(Doubles.indexOf(new double[] {5.0, value, value, 5.0}, new double[] {value, value})) .isEqualTo(1); } assertThat(Doubles.indexOf(new double[] {5.0, NaN, NaN, 5.0}, new double[] {NaN, NaN})) .isEqualTo(-1); } public void testLastIndexOf() { assertThat(Doubles.lastIndexOf(EMPTY, (double) 1)).isEqualTo(-1);
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Sat Oct 19 02:56:12 UTC 2024 - 32.2K bytes - Viewed (0) -
guava-tests/test/com/google/common/math/DoubleMathTest.java
assertFalse(DoubleMath.fuzzyEquals(a, Double.NaN, tolerance)); assertFalse(DoubleMath.fuzzyEquals(Double.NaN, a, tolerance)); } } } public void testFuzzyEqualsTwoNaNs() { for (double tolerance : TOLERANCE_CANDIDATES) { assertTrue(DoubleMath.fuzzyEquals(Double.NaN, Double.NaN, tolerance)); } } public void testFuzzyEqualsZeroTolerance() {
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri Oct 18 15:00:32 UTC 2024 - 27.3K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/DoubleMathTest.java
assertFalse(DoubleMath.fuzzyEquals(a, Double.NaN, tolerance)); assertFalse(DoubleMath.fuzzyEquals(Double.NaN, a, tolerance)); } } } public void testFuzzyEqualsTwoNaNs() { for (double tolerance : TOLERANCE_CANDIDATES) { assertTrue(DoubleMath.fuzzyEquals(Double.NaN, Double.NaN, tolerance)); } } public void testFuzzyEqualsZeroTolerance() {
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri Oct 18 15:00:32 UTC 2024 - 27.3K bytes - Viewed (0)