Merge branch 'master' into disable-fast-double-parser-logs-in-tests

Author: Jolanrensen

core/generated-sources/src/test/kotlin/org/jetbrains/kotlinx/dataframe/api/statistics.kt

@@ -148,14 +148,15 @@ class StatisticsTests {
             "city",
             "name",
             "age",
+            "weight",
             "height",
-            "yearsToRetirement"
-        ) // TODO: why double values from weight are not in the list? are they not Comparable?
+            "yearsToRetirement",
+        )
 
         val median01 = res0["age"][0] as Int
         median01 shouldBe 22
-        //val median02 = res0["weight"][0] as Double
-        //median02 shouldBe 66.0
+        // val median02 = res0["weight"][0] as Double
+        // median02 shouldBe 66.0
 
         // scenario #1: particular column
         val res1 = personsDf.groupBy("city").medianFor("age")
@@ -276,14 +277,15 @@ class StatisticsTests {
             "city",
             "name",
             "age",
+            "weight",
             "height",
-            "yearsToRetirement"
-        ) // TODO: why it's working for height and doesn't work for Double column weight
+            "yearsToRetirement",
+        )
 
         val min01 = res0["age"][0] as Int
         min01 shouldBe 15
-        //val min02 = res0["weight"][0] as Double
-        //min02 shouldBe 38.85756039691633
+        // val min02 = res0["weight"][0] as Double
+        // min02 shouldBe 38.85756039691633
 
         // scenario #1: particular column
         val res1 = personsDf.groupBy("city").minFor("age")
@@ -342,7 +344,7 @@ class StatisticsTests {
             "age",
             "weight",
             "height",
-            "yearsToRetirement"
+            "yearsToRetirement",
         ) // TODO: why is here weight presented? looks like inconsitency
 
         val min41 = res4["age"][0] as Int
@@ -362,12 +364,12 @@ class StatisticsTests {
     fun `max on GroupBy`() {
         // scenario #0: all numerical columns
         val res0 = personsDf.groupBy("city").max()
-        res0.columnNames() shouldBe listOf("city", "name", "age", "height", "yearsToRetirement") // TODO: DOUBLE weight?
+        res0.columnNames() shouldBe listOf("city", "name", "age", "weight", "height", "yearsToRetirement")
 
         val max01 = res0["age"][0] as Int
         max01 shouldBe 35
-        //val max02 = res0["weight"][0] as Double
-        //max02 shouldBe 140.0
+        // val max02 = res0["weight"][0] as Double
+        // max02 shouldBe 140.0
 
         // scenario #1: particular column
         val res1 = personsDf.groupBy("city").maxFor("age")
@@ -426,7 +428,7 @@ class StatisticsTests {
             "age",
             "weight",
             "height",
-            "yearsToRetirement"
+            "yearsToRetirement",
         ) // TODO: weight is here?
 
         val max41 = res4["age"][0] as Int
@@ -442,4 +444,3 @@ class StatisticsTests {
         max51 shouldBe 35
     }
 }
-

core/src/test/kotlin/org/jetbrains/kotlinx/dataframe/api/statistics.kt

@@ -148,9 +148,10 @@ class StatisticsTests {
             "city",
             "name",
             "age",
+            "weight",
             "height",
             "yearsToRetirement",
-        ) // TODO: why double values from weight are not in the list? are they not Comparable?
+        )
 
         val median01 = res0["age"][0] as Int
         median01 shouldBe 22
@@ -276,9 +277,10 @@ class StatisticsTests {
             "city",
             "name",
             "age",
+            "weight",
             "height",
             "yearsToRetirement",
-        ) // TODO: why it's working for height and doesn't work for Double column weight
+        )
 
         val min01 = res0["age"][0] as Int
         min01 shouldBe 15
@@ -362,7 +364,7 @@ class StatisticsTests {
     fun `max on GroupBy`() {
         // scenario #0: all numerical columns
         val res0 = personsDf.groupBy("city").max()
-        res0.columnNames() shouldBe listOf("city", "name", "age", "height", "yearsToRetirement") // TODO: DOUBLE weight?
+        res0.columnNames() shouldBe listOf("city", "name", "age", "weight", "height", "yearsToRetirement")
 
         val max01 = res0["age"][0] as Int
         max01 shouldBe 35