| // |
| // Copyright 2020 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| // |
| |
| package com.google.privacy.differentialprivacy; |
| |
| import static com.google.common.truth.Truth.assertWithMessage; |
| import static java.lang.Math.max; |
| import static org.junit.Assert.assertThrows; |
| |
| import org.junit.Test; |
| import org.junit.runner.RunWith; |
| import org.junit.runners.JUnit4; |
| |
| @RunWith(JUnit4.class) |
| public class GaussianNoiseConfidenceIntervalTest { |
| private static final Noise NOISE = new GaussianNoise(); |
| private static final double TOLERANCE = 1E-7; |
| private static final double DEFAULT_EPSILON = Math.log(3); |
| private static final int DEFAULT_L_0_SENSITIVITY = 1; |
| private static final double DEFAULT_L_INF_SENSITIVITY = 1.0; |
| private static final double DEFAULT_DELTA = 0.00001; |
| private static final double DEFAULT_NOISED_X = 0.0; |
| private static final double DEFAULT_ALPHA = 0.1; |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_arbitraryTest() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| /* noisedX= */ 83.0, |
| /* l0Sensitivity= */ 3, |
| /* lInfSensitivity= */ 2.0, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ 0.24); |
| ConfidenceInterval expected = ConfidenceInterval.create(69.056133, 96.943867); |
| verifyApproxEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_defaultParameters() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(-5.6349087, 5.6349087); |
| verifyApproxEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_positiveNoisedX() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| /* noisedX= */ 1.5865547456, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(-4.0483540, 7.2214635); |
| verifyApproxEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_negativeNoisedX() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| /* noisedX= */ -1.5865547456, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(-7.2214635, 4.0483540); |
| verifyApproxEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_largePositiveNoisedX() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| /* noisedX= */ 958655.4745, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(958649.84, 958661.11); |
| verifyApproxEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_largeNegativeNoisedX() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| /* noisedX= */ -958655.4745, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(-958661.11, -958649.84); |
| verifyApproxEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_smallAlpha() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ 7.856382354E-10); |
| ConfidenceInterval expected = ConfidenceInterval.create(-21.061026, 21.061026); |
| verifyApproxEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_largeAlpha() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ 1 - 7.856382354E-10); |
| |
| ConfidenceInterval expected = ConfidenceInterval.create(-3.3732006E-9, 3.3732006E-9); |
| verifyApproxEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_smallDelta() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| /* delta= */ 1.78468549878E-10, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(-8.6868832, 8.6868832); |
| verifyApproxEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_largeDelta() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| /* delta= */ 1 - 1.78468549878E-10, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(-0.12729946, 0.12729946); |
| verifyApproxEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_smallEpsilon() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| /* epsilon= */ 1.65463453425E-10, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(-65636.239, 65636.239); |
| verifyApproxEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_largeEpsilon() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| /* epsilon= */ 1.65463453425E10, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(0.0, 0.0); |
| verifyApproxEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_zeroL0Sensitivity_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| /* l0Sensitivity= */ 0, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_negativeL0Sensitivity_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| /* l0Sensitivity= */ -1, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_zeroLInfSensitivity_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| /* lInfSensitivity= */ 0, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_negativeLInfSensitivity_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| /* lInfSensitivity= */ -1, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_infiniteLInfSensitivity_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| /* lInfSensitivity= */ Double.POSITIVE_INFINITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_lInfSensitivityNan_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| /* lInfSensitivity= */ Double.NaN, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_tooSmallEpsilon_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| /* epsilon= */ Math.exp(-51), |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_infiniteEpsilon_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| /* epsilon= */ Double.POSITIVE_INFINITY, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_epsilonNan_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| /* epsilon= */ Double.NaN, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_zeroAlpha_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ 0)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_negativeAlpha_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ -1)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_alphaEqualToOne_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ 1)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_alphaGreaterThanOne_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ 2)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forDouble_alphaNan_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ Double.NaN)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_arbitraryTest() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| /* noisedX= */ 83L, |
| /* l0Sensitivity= */ 3, |
| /* lInfSensitivity= */ 2L, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ 0.24); |
| ConfidenceInterval expected = ConfidenceInterval.create(69.0, 97.0); |
| verifyEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_defaultParameters() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(-6.0, 6.0); |
| verifyEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_largePositiveNoisedX() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| // Distance to neighbouring doubles is greater than half the size of the confidence |
| // interval. |
| /* noisedX= */ (1L << 58), |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = |
| ConfidenceInterval.create( |
| Math.nextDown(Math.pow(2.0, 58.0)), Math.nextUp(Math.pow(2.0, 58.0))); |
| verifyEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_largeNegativeNoisedX() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| // Distance to neighbouring doubles is greater than half the size of the confidence |
| // interval. |
| /* noisedX= */ -(1L << 58), |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = |
| ConfidenceInterval.create( |
| Math.nextDown(-Math.pow(2.0, 58.0)), Math.nextUp(-Math.pow(2.0, 58.0))); |
| verifyEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_positiveNoisedX() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| /* noisedX= */ 10, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(4.0, 16.0); |
| verifyEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_negativeNoisedX() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| /* noisedX= */ -10, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(-16.0, -4.0); |
| verifyEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_smallAlpha() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ 7.856382354E-10); |
| ConfidenceInterval expected = ConfidenceInterval.create(-21.0, 21.0); |
| verifyEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_largeAlpha() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ 1 - 7.856382354E-10); |
| ConfidenceInterval expected = ConfidenceInterval.create(0.0, 0.0); |
| verifyEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_smallDelta() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| /* delta= */ 1.78468549878E-10, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(-9.0, 9.0); |
| verifyEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_largeDelta() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| /* delta= */ 1 - 1.78468549878E-10, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(0.0, 0.0); |
| verifyEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_smallEpsilon() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| /* epsilon= */ 1.65463453425E-10, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(-65636.0, 65636.0); |
| verifyEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_largeEpsilon() { |
| ConfidenceInterval actual = |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| /* epsilon= */ 1.65463453425E10, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA); |
| ConfidenceInterval expected = ConfidenceInterval.create(0.0, 0.0); |
| verifyEqual(actual, expected); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_zeroL0Sensitivity_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| /* l0Sensitivity= */ 0, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_negativeL0Sensitivity_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| /* l0Sensitivity= */ -1, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_zeroLInfSensitivity_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| /* lInfSensitivity= */ 0L, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_negativeLInfSensitivity_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| /* lInfSensitivity= */ -1L, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_tooSmallEpsilon_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| /* epsilon= */ Math.exp(-51), |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_infiniteEpsilon_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| /* epsilon= */ Double.POSITIVE_INFINITY, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_epsilonNan_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| /* epsilon= */ Double.NaN, |
| DEFAULT_DELTA, |
| DEFAULT_ALPHA)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_zeroAlpha_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ 0)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_negativeAlpha_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ -1)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_alphaEqualToOne_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ 1)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_alphaGreaterThanOne_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ 2)); |
| } |
| |
| @Test |
| public void computeConfidenceInterval_forLong_alphaNan_throwsException() { |
| assertThrows( |
| IllegalArgumentException.class, |
| () -> |
| NOISE.computeConfidenceInterval( |
| (long) DEFAULT_NOISED_X, |
| DEFAULT_L_0_SENSITIVITY, |
| (long) DEFAULT_L_INF_SENSITIVITY, |
| DEFAULT_EPSILON, |
| DEFAULT_DELTA, |
| /* alpha= */ Double.NaN)); |
| } |
| |
| private static boolean approxEqual(double a, double b) { |
| double maxMagnitude = max(Math.abs(a), Math.abs(b)); |
| return Math.abs(a - b) <= TOLERANCE * maxMagnitude; |
| } |
| |
| private static void verifyApproxEqual(ConfidenceInterval actual, ConfidenceInterval expected) { |
| assertWithMessage( |
| "Lower bounds are not equal. Actual = %s, expected = %s", |
| actual.lowerBound(), expected.lowerBound()) |
| .that(approxEqual(actual.lowerBound(), expected.lowerBound())) |
| .isTrue(); |
| assertWithMessage( |
| "Upper bounds are not equal. Actual = %s, expected = %s", |
| actual.upperBound(), expected.upperBound()) |
| .that(approxEqual(actual.upperBound(), expected.upperBound())) |
| .isTrue(); |
| } |
| |
| private static void verifyEqual(ConfidenceInterval actual, ConfidenceInterval expected) { |
| assertWithMessage( |
| "Lower bounds are not equal. Actual = %s, expected = %s", |
| actual.lowerBound(), expected.lowerBound()) |
| .that(actual.lowerBound()) |
| .isEqualTo(expected.lowerBound()); |
| assertWithMessage( |
| "Upper bounds are not equal. Actual = %s, expected = %s", |
| actual.upperBound(), expected.upperBound()) |
| .that(actual.upperBound()) |
| .isEqualTo(expected.upperBound()); |
| } |
| } |