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

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

matchers.kt

Source:matchers.kt

...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}...

haveVariance

Using AI Code Generation

1haveVariance(0.0)2haveVariance(0.0, 0.0)3haveVariance(0.0, 0.0, 0.0)4haveVariance(0.0, 0.0, 0.0, 0.0)5haveVariance(0.0, 0.0, 0.0, 0.0, 0.0)6haveVariance(0.0, 0.0, 0.0, 0.0, 0.0, 0.0)7haveVariance(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0)

haveVariance

Using AI Code Generation

1haveVariance ( 0.05 ) should match ( listOf ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 ))2haveVariance ( 0.05 ) shouldNot match ( listOf ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 ))3haveVariance ( 0.05 ) shouldNot match ( listOf ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 ))4haveVariance ( 0.05 ) shouldNot match ( listOf ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 ))5haveVariance ( 0.05 ) shouldNot match ( listOf ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 ))6haveVariance ( 0.05 ) shouldNot match ( listOf ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 ))7haveVariance ( 0.05 ) shouldNot match ( listOf ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 ))8haveVariance ( 0.05 ) shouldNot match ( listOf ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 , 6.0 ))

haveVariance

Using AI Code Generation

1haveVariance ( 0.01 ) . should ( "have variance" ) { listOf ( 1 , 2 , 3 , 4 , 5 ) }2haveVariance ( 0.01 ) . should ( "have variance" ) { intArrayOf ( 1 , 2 , 3 , 4 , 5 ) }3haveVariance ( 0.01 ) . should ( "have variance" ) { floatArrayOf ( 1.0f , 2.0f , 3.0f , 4.0f , 5.0f ) }4haveVariance ( 0.01 ) . should ( "have variance" ) { doubleArrayOf ( 1.0 , 2.0 , 3.0 , 4.0 , 5.0 ) }5haveVariance ( 0.01 ) . should ( "have variance" ) { longArrayOf ( 1L , 2L , 3L , 4L , 5L ) }6haveVariance ( 0.01 ) . should ( "have variance" ) { shortArrayOf ( 1 , 2 , 3 , 4 , 5 ) }7haveVariance ( 0.01 ) . should ( "have variance" ) { byteArrayOf ( 1 , 2 , 3 , 4 , 5 ) }8haveVariance ( 0.01 ) . should ( "have variance" ) { charArrayOf ( 'a' , 'b' , 'c' , 'd' , 'e' ) }9haveVariance ( 0.01

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