How to use haveMean method of io.kotest.matchers.stats.matchers class

Best Kotest code snippet using io.kotest.matchers.stats.matchers.haveMean

matchers.kt

Source:matchers.kt Github

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...30 * @param value - expected mean value31 * @param precision - precision, by default - 4 digits after decimal point32 *33 */34fun <T : Number> Collection<T>.shouldHaveMean(value: BigDecimal, precision: Int = 4) = this should haveMean<T>(value, precision)35/**36 * Asserts that mean of the Collection elements equals to [value] with default37 * or specific [precision]. Default precision equals 4 digits after decimal point.38 *39 * Opposite of [shouldNotHaveMean]40 *41 * Example:42 * ```43 *44 * val collection = listOf(1, 1, 3)45 * val firstMean = 1.6666746 * val secondMean = 1.666747 *48 * collection.shouldHaveMean(firstMean, 5) // Assertion passes49 * collection.shouldHaveMean(secondMean) // Assertion passes50 *51 * collection.shouldHaveMean(firstMean) // Assertion fails52 * collection.shouldHaveMean(secondMean, 5) // Assertion fails53 * ```54 *55 * @param value - expected mean value56 * @param precision - precision, by default - 4 digits after decimal point57 *58 */59fun <T : Number> Collection<T>.shouldHaveMean(value: Double, precision: Int = 4) = this should haveMean<T>(value, precision)60/**61 * Asserts that mean of the Collection elements doesn't equal to [value] with default62 * or specific [precision]. Default precision equals 4 digits after decimal point.63 *64 * Opposite of [shouldHaveMean]65 *66 * Example:67 * ```68 *69 * val collection = listOf(1, 1, 3)70 * val firstMean = BigDecimal("2.0")71 * val secondMean = BigDecimal("1.6666667")72 *73 * collection.shouldNotHaveMean(firstMean) // Assertion passes74 * collection.shouldNotHaveMean(secondMean, 5) // Assertion passes75 *76 * collection.shouldNotHaveMean(BigDecimal("1.6667")) // Assertion fails77 * collection.shouldNotHaveMean(BigDecimal("1.6667"), 4) // Assertion fails78 * ```79 *80 * @param value - not expected mean value81 * @param precision - precision, by default - 4 digits after decimal point82 *83 */84fun <T : Number> Collection<T>.shouldNotHaveMean(value: BigDecimal, precision: Int = 4) = this shouldNot haveMean<T>(value, precision)85/**86 * Asserts that mean of the Collection elements doesn't equal to [value] with default87 * or specific [precision]. Default precision equals 4 digits after decimal point.88 *89 * Opposite of [shouldHaveMean]90 *91 * Example:92 * ```93 *94 * val collection = listOf(1, 1, 3)95 *96 * collection.shouldNotHaveMean(2.0) // Assertion passes97 * collection.shouldNotHaveMean(1.67, 5) // Assertion passes98 *99 * collection.shouldNotHaveMean(1.6667) // Assertion fails100 * collection.shouldNotHaveMean(1.6667, 4) // Assertion fails101 * ```102 *103 * @param value - not expected mean value104 * @param precision - precision, by default - 4 digits after decimal point105 *106 */107fun <T : Number> Collection<T>.shouldNotHaveMean(value: Double, precision: Int = 4) = this shouldNot haveMean<T>(value, precision)108/**109 * Asserts that variance of the Collection elements equals to [value] with default110 * or specific [precision]. Default precision equals 4 digits after decimal point.111 *112 * Opposite of [shouldNotHaveVariance]113 *114 * Example:115 * ```116 *117 * val collection = listOf(1, 2, 3)118 * val firstVariance = BigDecimal("0.66667")119 * val secondVariance = BigDecimal("0.6667")120 *121 * collection.shouldHaveVariance(firstVariance, 5) // Assertion passes122 * collection.shouldHaveVariance(secondVariance) // Assertion passes123 *124 * collection.shouldHaveVariance(firstVariance) // Assertion fails125 * collection.shouldHaveVariance(secondVariance, 5) // Assertion fails126 * ```127 *128 * @param value - expected variance value129 * @param precision - precision, by default - 4 digits after decimal point130 *131 */132fun <T : Number> Collection<T>.shouldHaveVariance(value: BigDecimal, precision: Int = 4) = this should haveVariance<T>(value, precision)133/**134 * Asserts that variance of the Collection elements equals to [value] with default135 * or specific [precision]. Default precision equals 4 digits after decimal point.136 *137 * Opposite of [shouldNotHaveVariance]138 *139 * Example:140 * ```141 *142 * val collection = listOf(1, 2, 3)143 *144 * collection.shouldHaveVariance(0.66667, 5) // Assertion passes145 * collection.shouldHaveVariance(0.6667) // Assertion passes146 *147 * collection.shouldHaveVariance(0.67) // Assertion fails148 * collection.shouldHaveVariance(0.6667, 5) // Assertion fails149 * ```150 *151 * @param value - expected variance value152 * @param precision - precision, by default - 4 digits after decimal point153 *154 */155fun <T : Number> Collection<T>.shouldHaveVariance(value: Double, precision: Int = 4) = this should haveVariance<T>(value, precision)156/**157 * Asserts that variance of the Collection elements doesn't equal to [value] with default158 * or specific [precision]. Default precision equals 4 digits after decimal point.159 *160 * Opposite of [shouldHaveVariance]161 *162 * Example:163 * ```164 *165 * val collection = listOf(1, 2, 3)166 *167 * collection.shouldNotHaveVariance(BigDecimal("1.01"), 5) // Assertion passes168 * collection.shouldNotHaveVariance(BigDecimal("0.666667")) // Assertion passes169 *170 * collection.shouldNotHaveVariance(BigDecimal("0.6667")) // Assertion fails171 * collection.shouldNotHaveVariance(BigDecimal("0.66667"), 5) // Assertion fails172 * ```173 *174 * @param value - not expected variance value175 * @param precision - precision, by default - 4 digits after decimal point176 *177 */178fun <T : Number> Collection<T>.shouldNotHaveVariance(value: BigDecimal, precision: Int = 4) = this shouldNot haveVariance<T>(value, precision)179/**180 * Asserts that variance of the Collection elements doesn't equal to [value] with default181 * or specific [precision]. Default precision equals 4 digits after decimal point.182 *183 * Opposite of [shouldHaveVariance]184 *185 * Example:186 * ```187 *188 * val collection = listOf(1, 2, 3)189 *190 * collection.shouldNotHaveVariance(1.01, 5) // Assertion passes191 * collection.shouldNotHaveVariance(0.666667) // Assertion passes192 *193 * collection.shouldNotHaveVariance(0.6667) // Assertion fails194 * collection.shouldNotHaveVariance(0.66667, 5) // Assertion fails195 * ```196 *197 * @param value - not expected variance value198 * @param precision - precision, by default - 4 digits after decimal point199 *200 */201fun <T : Number> Collection<T>.shouldNotHaveVariance(value: Double, precision: Int = 4) = this shouldNot haveVariance<T>(value, precision)202/**203 * Asserts that standard deviation of the Collection elements equals to [value] with default204 * or specific [precision]. Default precision equals 4 digits after decimal point.205 *206 * Opposite of [shouldNotHaveStandardDeviation]207 *208 * Example:209 * ```210 *211 * val collection = listOf(1, 2, 3)212 *213 * collection.shouldHaveStandardDeviation(BigDecimal("0.82"), 2) // Assertion passes214 * collection.shouldHaveStandardDeviation(BigDecimal("0.8165")) // Assertion passes215 *216 * collection.shouldHaveStandardDeviation(BigDecimal("0.82")) // Assertion fails217 * collection.shouldHaveStandardDeviation(BigDecimal("0.8165"), 5) // Assertion fails218 * ```219 *220 * @param value - expected standard deviation value221 * @param precision - precision, by default - 4 digits after decimal point222 *223 */224fun <T : Number> Collection<T>.shouldHaveStandardDeviation(value: BigDecimal, precision: Int = 4) = this should haveStandardDeviation<T>(value, precision)225/**226 * Asserts that standard deviation of the Collection elements equals to [value] with default227 * or specific [precision]. Default precision equals 4 digits after decimal point.228 *229 * Opposite of [shouldNotHaveStandardDeviation]230 *231 * Example:232 * ```233 *234 * val collection = listOf(1, 2, 3)235 *236 * collection.shouldHaveStandardDeviation(0.82, 2) // Assertion passes237 * collection.shouldHaveStandardDeviation(0.8165) // Assertion passes238 *239 * collection.shouldHaveStandardDeviation(0.82) // Assertion fails240 * collection.shouldHaveStandardDeviation(0.8165, 5) // Assertion fails241 * ```242 *243 * @param value - expected standard deviation value244 * @param precision - precision, by default - 4 digits after decimal point245 *246 */247fun <T : Number> Collection<T>.shouldHaveStandardDeviation(value: Double, precision: Int = 4) = this should haveStandardDeviation<T>(value, precision)248/**249 * Asserts that standard deviation of the Collection elements doesn't equal to [value] with default250 * or specific [precision]. Default precision equals 4 digits after decimal point.251 *252 * Opposite of [shouldHaveStandardDeviation]253 *254 * Example:255 * ```256 *257 * val collection = listOf(1, 2, 3)258 *259 * collection.shouldNotHaveStandardDeviation(BigDecimal("0.8165"), 5) // Assertion passes260 * collection.shouldNotHaveStandardDeviation(BigDecimal("0.8333")) // Assertion passes261 *262 * collection.shouldNotHaveStandardDeviation(BigDecimal("0.8165")) // Assertion fails263 * collection.shouldNotHaveStandardDeviation(BigDecimal("0.82"), 2) // Assertion fails264 * ```265 *266 * @param value - not expected standard deviation value267 * @param precision - precision, by default - 4 digits after decimal point268 *269 */270fun <T : Number> Collection<T>.shouldNotHaveStandardDeviation(value: BigDecimal, precision: Int = 4) = this shouldNot haveStandardDeviation<T>(value, precision)271/**272 * Asserts that standard deviation of the Collection elements doesn't equal to [value] with default273 * or specific [precision]. Default precision equals 4 digits after decimal point.274 *275 * Opposite of [shouldHaveStandardDeviation]276 *277 * Example:278 * ```279 *280 * val collection = listOf(1, 2, 3)281 *282 * collection.shouldNotHaveStandardDeviation(0.8165, 5) // Assertion passes283 * collection.shouldNotHaveStandardDeviation(0.8333) // Assertion passes284 *285 * collection.shouldNotHaveStandardDeviation(0.8165) // Assertion fails286 * collection.shouldNotHaveStandardDeviation(0.82, 2) // Assertion fails287 * ```288 *289 * @param value - not expected standard deviation value290 * @param precision - precision, by default - 4 digits after decimal point291 *292 */293fun <T : Number> Collection<T>.shouldNotHaveStandardDeviation(value: Double, precision: Int = 4) = this shouldNot haveStandardDeviation<T>(value, precision)294private val defaultMathContext = MathContext(64, RoundingMode.HALF_UP)295private fun BigDecimal.round(precision: Int): BigDecimal = this.setScale(precision, RoundingMode.HALF_UP).stripTrailingZeros()296private fun <T : Number> calculateMean(collection: Collection<T>): BigDecimal {297 var sum: BigDecimal = BigDecimal.ZERO298 for (elem in collection) {299 sum += BigDecimal(elem.toString())300 }301 return sum.divide(BigDecimal(collection.size), defaultMathContext)302}303private fun <T : Number> calculateVariance(collection: Collection<T>): BigDecimal {304 val mean: BigDecimal = calculateMean(collection)305 var sumOfSquaredDifferences: BigDecimal = BigDecimal.ZERO306 for (elem in collection) {307 sumOfSquaredDifferences += (BigDecimal(elem.toString()) - mean).pow(2)308 }309 return sumOfSquaredDifferences.divide(BigDecimal(collection.size), defaultMathContext)310}311private fun <T : Number> calculateStandardDeviation(collection: Collection<T>): BigDecimal {312 val variance = calculateVariance(collection)313 val two = BigDecimal(2)314 var x0 = BigDecimal.ZERO315 var x1 = BigDecimal(sqrt(variance.toDouble()))316 while (x0 != x1) {317 x0 = x1318 x1 = variance.divide(x0, defaultMathContext)319 x1 = x1.add(x0)320 x1 = x1.divide(two, defaultMathContext)321 }322 return x1323}324private fun <T : Number> testMean(collection: Collection<T>, expectedValue: BigDecimal, precision: Int): MatcherResult {325 val expected = expectedValue.stripTrailingZeros()326 val actual = if (collection.isEmpty()) BigDecimal.ZERO else calculateMean(collection).round(precision)327 return MatcherResult(328 expected.compareTo(actual) == 0,329 { "Collection should have mean $expected but was $actual" },330 {331 "Collection should not have mean $expected but was $actual"332 })333}334private fun <T : Number> testVariance(335 collection: Collection<T>,336 expectedValue: BigDecimal,337 precision: Int338): MatcherResult {339 val expected = expectedValue.stripTrailingZeros()340 val actual = if (collection.isEmpty()) BigDecimal.ZERO else calculateVariance(collection).round(precision)341 return MatcherResult(342 expected.compareTo(actual) == 0,343 { "Collection should have variance $expected but was $actual" },344 {345 "Collection should not have variance $expected but was $actual"346 })347}348private fun <T : Number> testStandardDeviation(349 collection: Collection<T>,350 expectedValue: BigDecimal,351 precision: Int352): MatcherResult {353 val expected = expectedValue.stripTrailingZeros()354 val actual = if (collection.isEmpty()) BigDecimal.ZERO else calculateStandardDeviation(collection).round(precision)355 return MatcherResult(356 expected.compareTo(actual) == 0,357 { "Collection should have standard deviation $expected but was $actual" },358 {359 "Collection should not have standard deviation $expected but was $actual"360 })361}362fun <T : Number> haveMean(expectedValue: BigDecimal, precision: Int = 4) = object :363 Matcher<Collection<T>> {364 override fun test(value: Collection<T>): MatcherResult = testMean(value, expectedValue, precision)365}366fun <T : Number> haveMean(expectedValue: Double, precision: Int = 4) = object : Matcher<Collection<T>> {367 override fun test(value: Collection<T>): MatcherResult = testMean(value, expectedValue.toBigDecimal(), precision)368}369fun <T : Number> haveVariance(expectedValue: BigDecimal, precision: Int) = object : Matcher<Collection<T>> {370 override fun test(value: Collection<T>): MatcherResult = testVariance(value, expectedValue, precision)371}372fun <T : Number> haveVariance(expectedValue: Double, precision: Int) = object : Matcher<Collection<T>> {373 override fun test(value: Collection<T>): MatcherResult = testVariance(value, expectedValue.toBigDecimal(), precision)374}375fun <T : Number> haveStandardDeviation(expectedValue: BigDecimal, precision: Int) = object : Matcher<Collection<T>> {376 override fun test(value: Collection<T>): MatcherResult = testStandardDeviation(value, expectedValue, precision)377}378fun <T : Number> haveStandardDeviation(expectedValue: Double, precision: Int) = object : Matcher<Collection<T>> {379 override fun test(value: Collection<T>): MatcherResult = testStandardDeviation(value, expectedValue.toBigDecimal(), precision)380}...

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haveMean

Using AI Code Generation

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1haveMean(0.0)2haveMedian(0.0)3haveMode(0.0)4haveStandardDeviation(0.0)5haveVariance(0.0)6haveCoefficientOfVariation(0.0)7haveRange(0.0)8haveInterquartileRange(0.0)9haveMAD(0.0)10haveSkewness(0.0)11haveKurtosis(0.0)12haveSampleEntropy(0.0)13haveSampleSkewness(0.0)14haveSampleKurtosis(0.0)15haveSum(0.0)16haveProduct(0.0)17haveGeometricMean(0.0)18haveHarmonicMean(0

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haveMean

Using AI Code Generation

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1haveMean(1.0) shouldBe true2haveMedian(1.0) shouldBe true3haveMode(1) shouldBe true4haveVariance(1.0) shouldBe true5haveStandardDeviation(1.0) shouldBe true6haveSkewness(1.0) shouldBe true7haveKurtosis(1.0) shouldBe true8haveRange(1.0) shouldBe true9haveInterQuartileRange(1.0) shouldBe true10haveSum(1.0) shouldBe true11haveSumOfSquares(1.0) shouldBe true12haveSumOfLogs(1.0) shouldBe true13haveSumOfSquaresOfDifferences(1.0) shouldBe true14haveGeometricMean(1.0) shouldBe true15haveHarmonicMean(1.0) shouldBe true16haveMeanAbsoluteDeviation(1.0)

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haveMean

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1 data class Person(val name: String, val age: Int, val height: Double)2 val people = listOf(Person("Alice", 30, 1.7), Person("Bob", 25, 1.8))3 people should haveMean(Person::height, 1.75)4 data class Person(val name: String, val age: Int, val height: Double)5 val people = listOf(Person("Alice", 30, 1.7), Person("Bob", 25, 1.8))6 people should haveMedian(Person::height, 1.75)7 data class Person(val name: String, val age: Int, val height: Double)8 val people = listOf(Person("Alice", 30, 1.7), Person("Bob", 25, 1.8))9 people should haveMode(Person::height, 1.75)10 data class Person(val name: String, val age: Int, val height: Double)11 val people = listOf(Person("Alice", 30, 1.7), Person("Bob", 25, 1.8))12 people should haveVariance(Person::height, 1.75)13 data class Person(val name: String, val age: Int, val height: Double)14 val people = listOf(Person("Alice", 30, 1.7), Person("Bob", 25, 1.8))15 people should haveStandardDeviation(Person::height, 1.75)16 data class Person(val name: String, val age: Int, val height: Double)17 val people = listOf(Person("Alice", 30, 1.7), Person("Bob", 25, 1.8))18 people should haveSkewness(Person::height, 1.75)

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