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x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/expression/function/scalar/approximate/ConfidenceIntervalTests.java

Lines changed: 10 additions & 12 deletions
Original file line numberDiff line numberDiff line change
@@ -30,6 +30,10 @@
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3131
public class ConfidenceIntervalTests extends AbstractScalarFunctionTestCase {
3232

33+
private static final String EVALUATOR_STRING =
34+
"ConfidenceIntervalEvaluator[bestEstimateBlock=Attribute[channel=0], estimatesBlock=Attribute[channel=1], "
35+
+ "trialCountBlock=Attribute[channel=2], bucketCountBlock=Attribute[channel=3], confidenceLevelBlock=Attribute[channel=4]]";
36+
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@ParametersFactory
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public static Iterable<Object[]> parameters() {
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List<TestCaseSupplier> suppliers = List.of(
@@ -73,8 +77,7 @@ private static TestCaseSupplier randomBuckets() {
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new TestCaseSupplier.TypedData(bucketCount, DataType.INTEGER, "bucketCount"),
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new TestCaseSupplier.TypedData(confidenceLevel, DataType.DOUBLE, "confidenceLevel")
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),
76-
"ConfidenceIntervalEvaluator[bestEstimateBlock=Attribute[channel=0], estimatesBlock=Attribute[channel=1], trialCountBlock="
77-
+ "Attribute[channel=2], bucketCountBlock=Attribute[channel=3], confidenceLevelBlock=Attribute[channel=4]]",
80+
EVALUATOR_STRING,
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DataType.DOUBLE,
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contains(
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both(greaterThan(0.0)).and(lessThan(bestEstimate)),
@@ -102,8 +105,7 @@ private static TestCaseSupplier allBucketsFilled() {
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new TestCaseSupplier.TypedData(5, DataType.INTEGER, "bucketCount"),
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new TestCaseSupplier.TypedData(0.8, DataType.DOUBLE, "confidence_level")
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),
105-
"ConfidenceIntervalEvaluator[bestEstimateBlock=Attribute[channel=0], estimatesBlock=Attribute[channel=1], trialCountBlock="
106-
+ "Attribute[channel=2], bucketCountBlock=Attribute[channel=3], confidenceLevelBlock=Attribute[channel=4]]",
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EVALUATOR_STRING,
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DataType.DOUBLE,
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contains(closeTo(1.8293144967855208, 1e-9), closeTo(2.164428203663303, 1e-9), closeTo(1.0, 1e-9))
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)
@@ -126,8 +128,7 @@ private static TestCaseSupplier nanBuckets_ignoreNan() {
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new TestCaseSupplier.TypedData(5, DataType.INTEGER, "bucketCount"),
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new TestCaseSupplier.TypedData(0.8, DataType.DOUBLE, "confidence_level")
128130
),
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"ConfidenceIntervalEvaluator[bestEstimateBlock=Attribute[channel=0], estimatesBlock=Attribute[channel=1], trialCountBlock="
130-
+ "Attribute[channel=2], bucketCountBlock=Attribute[channel=3], confidenceLevelBlock=Attribute[channel=4]]",
131+
EVALUATOR_STRING,
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DataType.DOUBLE,
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contains(closeTo(1.8443260740876288, 1e-9), closeTo(2.164997868635109, 1e-9), closeTo(0.0, 1e-9))
133134
)
@@ -150,8 +151,7 @@ private static TestCaseSupplier nanBuckets_zeroNan() {
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new TestCaseSupplier.TypedData(5, DataType.INTEGER, "bucketCount"),
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new TestCaseSupplier.TypedData(0.8, DataType.DOUBLE, "confidence_level")
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),
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"ConfidenceIntervalEvaluator[bestEstimateBlock=Attribute[channel=0], estimatesBlock=Attribute[channel=1], trialCountBlock="
154-
+ "Attribute[channel=2], bucketCountBlock=Attribute[channel=3], confidenceLevelBlock=Attribute[channel=4]]",
154+
EVALUATOR_STRING,
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DataType.DOUBLE,
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contains(closeTo(0.4041519539094244, 1e-9), closeTo(1.6023321533418913, 1e-9), closeTo(0.0, 1e-9))
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)
@@ -174,8 +174,7 @@ private static TestCaseSupplier inconsistentData() {
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new TestCaseSupplier.TypedData(5, DataType.INTEGER, "bucketCount"),
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new TestCaseSupplier.TypedData(0.8, DataType.DOUBLE, "confidence_level")
176176
),
177-
"ConfidenceIntervalEvaluator[bestEstimateBlock=Attribute[channel=0], estimatesBlock=Attribute[channel=1], trialCountBlock="
178-
+ "Attribute[channel=2], bucketCountBlock=Attribute[channel=3], confidenceLevelBlock=Attribute[channel=4]]",
177+
EVALUATOR_STRING,
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DataType.DOUBLE,
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nullValue()
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)
@@ -198,8 +197,7 @@ private static TestCaseSupplier manyNans() {
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new TestCaseSupplier.TypedData(5, DataType.INTEGER, "bucketCount"),
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new TestCaseSupplier.TypedData(0.8, DataType.DOUBLE, "confidence_level")
200199
),
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"ConfidenceIntervalEvaluator[bestEstimateBlock=Attribute[channel=0], estimatesBlock=Attribute[channel=1], trialCountBlock="
202-
+ "Attribute[channel=2], bucketCountBlock=Attribute[channel=3], confidenceLevelBlock=Attribute[channel=4]]",
200+
EVALUATOR_STRING,
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DataType.DOUBLE,
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nullValue()
205203
)

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