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Automated commit of generated code
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8 files changed

+503
-10
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‎core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/max.kt‎

Lines changed: 6 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -133,9 +133,12 @@ public fun <T, C : Comparable<C>> DataFrame<T>.maxByOrNull(column: KProperty<C?>
133133
// endregion
134134

135135
// region GroupBy
136-
136+
@Refine
137+
@Interpretable("GroupByMax1")
137138
public fun <T> Grouped<T>.max(): DataFrame<T> = maxFor(interComparableColumns())
138139

140+
@Refine
141+
@Interpretable("GroupByMax0")
139142
public fun <T, C : Comparable<C>> Grouped<T>.maxFor(columns: ColumnsForAggregateSelector<T, C?>): DataFrame<T> =
140143
Aggregators.max.aggregateFor(this, columns)
141144

@@ -149,6 +152,8 @@ public fun <T, C : Comparable<C>> Grouped<T>.maxFor(vararg columns: ColumnRefere
149152
public fun <T, C : Comparable<C>> Grouped<T>.maxFor(vararg columns: KProperty<C?>): DataFrame<T> =
150153
maxFor { columns.toColumnSet() }
151154

155+
@Refine
156+
@Interpretable("GroupByMax0")
152157
public fun <T, C : Comparable<C>> Grouped<T>.max(name: String? = null, columns: ColumnsSelector<T, C?>): DataFrame<T> =
153158
Aggregators.max.aggregateAll(this, name, columns)
154159

‎core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/mean.kt‎

Lines changed: 10 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -8,6 +8,8 @@ import org.jetbrains.kotlinx.dataframe.DataRow
88
import org.jetbrains.kotlinx.dataframe.RowExpression
99
import org.jetbrains.kotlinx.dataframe.aggregation.ColumnsForAggregateSelector
1010
import org.jetbrains.kotlinx.dataframe.annotations.AccessApiOverload
11+
import org.jetbrains.kotlinx.dataframe.annotations.Interpretable
12+
import org.jetbrains.kotlinx.dataframe.annotations.Refine
1113
import org.jetbrains.kotlinx.dataframe.columns.ColumnReference
1214
import org.jetbrains.kotlinx.dataframe.columns.toColumnSet
1315
import org.jetbrains.kotlinx.dataframe.columns.toColumnsSetOf
@@ -98,9 +100,12 @@ public inline fun <T, reified D : Number> DataFrame<T>.meanOf(
98100
// endregion
99101

100102
// region GroupBy
101-
103+
@Refine
104+
@Interpretable("GroupByMean1")
102105
public fun <T> Grouped<T>.mean(skipNA: Boolean = skipNA_default): DataFrame<T> = meanFor(skipNA, numberColumns())
103106

107+
@Refine
108+
@Interpretable("GroupByMean0")
104109
public fun <T, C : Number> Grouped<T>.meanFor(
105110
skipNA: Boolean = skipNA_default,
106111
columns: ColumnsForAggregateSelector<T, C?>,
@@ -121,6 +126,8 @@ public fun <T, C : Number> Grouped<T>.meanFor(
121126
skipNA: Boolean = skipNA_default,
122127
): DataFrame<T> = meanFor(skipNA) { columns.toColumnSet() }
123128

129+
@Refine
130+
@Interpretable("GroupByMean0")
124131
public fun <T, C : Number> Grouped<T>.mean(
125132
name: String? = null,
126133
skipNA: Boolean = skipNA_default,
@@ -147,6 +154,8 @@ public fun <T, C : Number> Grouped<T>.mean(
147154
skipNA: Boolean = skipNA_default,
148155
): DataFrame<T> = mean(name, skipNA) { columns.toColumnSet() }
149156

157+
@Refine
158+
@Interpretable("GroupByMeanOf")
150159
public inline fun <T, reified R : Number> Grouped<T>.meanOf(
151160
name: String? = null,
152161
skipNA: Boolean = skipNA_default,

‎core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/median.kt‎

Lines changed: 12 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -8,6 +8,8 @@ import org.jetbrains.kotlinx.dataframe.DataRow
88
import org.jetbrains.kotlinx.dataframe.RowExpression
99
import org.jetbrains.kotlinx.dataframe.aggregation.ColumnsForAggregateSelector
1010
import org.jetbrains.kotlinx.dataframe.annotations.AccessApiOverload
11+
import org.jetbrains.kotlinx.dataframe.annotations.Interpretable
12+
import org.jetbrains.kotlinx.dataframe.annotations.Refine
1113
import org.jetbrains.kotlinx.dataframe.columns.ColumnReference
1214
import org.jetbrains.kotlinx.dataframe.columns.toColumnSet
1315
import org.jetbrains.kotlinx.dataframe.impl.aggregation.aggregators.Aggregators
@@ -103,9 +105,12 @@ public inline fun <T, reified R : Comparable<R>> DataFrame<T>.medianOf(
103105
// endregion
104106

105107
// region GroupBy
106-
108+
@Refine
109+
@Interpretable("GroupByMedian1")
107110
public fun <T> Grouped<T>.median(): DataFrame<T> = medianFor(interComparableColumns())
108111

112+
@Refine
113+
@Interpretable("GroupByMedian0")
109114
public fun <T, C : Comparable<C>> Grouped<T>.medianFor(columns: ColumnsForAggregateSelector<T, C?>): DataFrame<T> =
110115
Aggregators.median.aggregateFor(this, columns)
111116

@@ -119,6 +124,8 @@ public fun <T, C : Comparable<C>> Grouped<T>.medianFor(vararg columns: ColumnRef
119124
public fun <T, C : Comparable<C>> Grouped<T>.medianFor(vararg columns: KProperty<C?>): DataFrame<T> =
120125
medianFor { columns.toColumnSet() }
121126

127+
@Refine
128+
@Interpretable("GroupByMedian0")
122129
public fun <T, C : Comparable<C>> Grouped<T>.median(
123130
name: String? = null,
124131
columns: ColumnsSelector<T, C?>,
@@ -137,10 +144,12 @@ public fun <T, C : Comparable<C>> Grouped<T>.median(
137144
public fun <T, C : Comparable<C>> Grouped<T>.median(vararg columns: KProperty<C?>, name: String? = null): DataFrame<T> =
138145
median(name) { columns.toColumnSet() }
139146

147+
@Refine
148+
@Interpretable("GroupByMedianOf")
140149
public inline fun <T, reified R : Comparable<R>> Grouped<T>.medianOf(
141150
name: String? = null,
142151
crossinline expression: RowExpression<T, R?>,
143-
): DataFrame<T> = Aggregators.median.aggregateOf(this, name, expression)
152+
): DataFrame<T> = Aggregators.median.cast<R?>().aggregateOf(this, name, expression)
144153

145154
// endregion
146155

@@ -227,6 +236,6 @@ public fun <T, C : Comparable<C>> PivotGroupBy<T>.median(vararg columns: KProper
227236

228237
public inline fun <T, reified R : Comparable<R>> PivotGroupBy<T>.medianOf(
229238
crossinline expression: RowExpression<T, R?>,
230-
): DataFrame<T> = Aggregators.median.aggregateOf(this, expression)
239+
): DataFrame<T> = Aggregators.median.cast<R?>().aggregateOf(this, expression)
231240

232241
// endregion

‎core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/min.kt‎

Lines changed: 6 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -133,9 +133,12 @@ public fun <T, C : Comparable<C>> DataFrame<T>.minByOrNull(column: KProperty<C?>
133133
// endregion
134134

135135
// region GroupBy
136-
136+
@Refine
137+
@Interpretable("GroupByMin1")
137138
public fun <T> Grouped<T>.min(): DataFrame<T> = minFor(interComparableColumns())
138139

140+
@Refine
141+
@Interpretable("GroupByMin0")
139142
public fun <T, C : Comparable<C>> Grouped<T>.minFor(columns: ColumnsForAggregateSelector<T, C?>): DataFrame<T> =
140143
Aggregators.min.aggregateFor(this, columns)
141144

@@ -149,6 +152,8 @@ public fun <T, C : Comparable<C>> Grouped<T>.minFor(vararg columns: ColumnRefere
149152
public fun <T, C : Comparable<C>> Grouped<T>.minFor(vararg columns: KProperty<C?>): DataFrame<T> =
150153
minFor { columns.toColumnSet() }
151154

155+
@Refine
156+
@Interpretable("GroupByMin0")
152157
public fun <T, C : Comparable<C>> Grouped<T>.min(name: String? = null, columns: ColumnsSelector<T, C?>): DataFrame<T> =
153158
Aggregators.min.aggregateAll(this, name, columns)
154159

‎core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/percentile.kt‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -177,7 +177,7 @@ public inline fun <T, reified R : Comparable<R>> Grouped<T>.percentileOf(
177177
percentile: Double,
178178
name: String? = null,
179179
crossinline expression: RowExpression<T, R?>,
180-
): DataFrame<T> = Aggregators.percentile(percentile).aggregateOf(this, name, expression)
180+
): DataFrame<T> = Aggregators.percentile(percentile).cast<R?>().aggregateOf(this, name, expression)
181181

182182
// endregion
183183

@@ -289,6 +289,6 @@ public fun <T, C : Comparable<C>> PivotGroupBy<T>.percentile(
289289
public inline fun <T, reified R : Comparable<R>> PivotGroupBy<T>.percentileOf(
290290
percentile: Double,
291291
crossinline expression: RowExpression<T, R?>,
292-
): DataFrame<T> = Aggregators.percentile(percentile).aggregateOf(this, expression)
292+
): DataFrame<T> = Aggregators.percentile(percentile).cast<R?>().aggregateOf(this, expression)
293293

294294
// endregion

‎core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/std.kt‎

Lines changed: 12 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -8,6 +8,8 @@ import org.jetbrains.kotlinx.dataframe.DataRow
88
import org.jetbrains.kotlinx.dataframe.RowExpression
99
import org.jetbrains.kotlinx.dataframe.aggregation.ColumnsForAggregateSelector
1010
import org.jetbrains.kotlinx.dataframe.annotations.AccessApiOverload
11+
import org.jetbrains.kotlinx.dataframe.annotations.Interpretable
12+
import org.jetbrains.kotlinx.dataframe.annotations.Refine
1113
import org.jetbrains.kotlinx.dataframe.columns.ColumnReference
1214
import org.jetbrains.kotlinx.dataframe.columns.toColumnSet
1315
import org.jetbrains.kotlinx.dataframe.columns.toColumnsSetOf
@@ -102,10 +104,13 @@ public inline fun <T, reified R : Number> DataFrame<T>.stdOf(
102104
// endregion
103105

104106
// region GroupBy
105-
107+
@Refine
108+
@Interpretable("GroupByStd1")
106109
public fun <T> Grouped<T>.std(skipNA: Boolean = skipNA_default, ddof: Int = ddof_default): DataFrame<T> =
107110
stdFor(skipNA, ddof, numberColumns())
108111

112+
@Refine
113+
@Interpretable("GroupByStd0")
109114
public fun <T> Grouped<T>.stdFor(
110115
skipNA: Boolean = skipNA_default,
111116
ddof: Int = ddof_default,
@@ -118,6 +123,7 @@ public fun <T> Grouped<T>.stdFor(
118123
ddof: Int = ddof_default,
119124
): DataFrame<T> = stdFor(skipNA, ddof) { columns.toColumnsSetOf() }
120125

126+
@AccessApiOverload
121127
public fun <T, C : Number> Grouped<T>.stdFor(
122128
vararg columns: ColumnReference<C?>,
123129
skipNA: Boolean = skipNA_default,
@@ -131,13 +137,16 @@ public fun <T, C : Number> Grouped<T>.stdFor(
131137
ddof: Int = ddof_default,
132138
): DataFrame<T> = stdFor(skipNA, ddof) { columns.toColumnSet() }
133139

140+
@Refine
141+
@Interpretable("GroupByStd0")
134142
public fun <T> Grouped<T>.std(
135143
name: String? = null,
136144
skipNA: Boolean = skipNA_default,
137145
ddof: Int = ddof_default,
138146
columns: ColumnsSelector<T, Number?>,
139147
): DataFrame<T> = Aggregators.std(skipNA, ddof).aggregateAll(this, name, columns)
140148

149+
@AccessApiOverload
141150
public fun <T> Grouped<T>.std(
142151
vararg columns: ColumnReference<Number?>,
143152
name: String? = null,
@@ -160,6 +169,8 @@ public fun <T> Grouped<T>.std(
160169
ddof: Int = ddof_default,
161170
): DataFrame<T> = std(name, skipNA, ddof) { columns.toColumnSet() }
162171

172+
@Refine
173+
@Interpretable("GroupByStdOf")
163174
public inline fun <T, reified R : Number> Grouped<T>.stdOf(
164175
name: String? = null,
165176
skipNA: Boolean = skipNA_default,

‎core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/sum.kt‎

Lines changed: 10 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -8,6 +8,8 @@ import org.jetbrains.kotlinx.dataframe.DataRow
88
import org.jetbrains.kotlinx.dataframe.RowExpression
99
import org.jetbrains.kotlinx.dataframe.aggregation.ColumnsForAggregateSelector
1010
import org.jetbrains.kotlinx.dataframe.annotations.AccessApiOverload
11+
import org.jetbrains.kotlinx.dataframe.annotations.Interpretable
12+
import org.jetbrains.kotlinx.dataframe.annotations.Refine
1113
import org.jetbrains.kotlinx.dataframe.columns.ColumnReference
1214
import org.jetbrains.kotlinx.dataframe.columns.toColumnSet
1315
import org.jetbrains.kotlinx.dataframe.columns.toColumnsSetOf
@@ -89,9 +91,12 @@ public inline fun <T, reified C : Number?> DataFrame<T>.sumOf(crossinline expres
8991
// endregion
9092

9193
// region GroupBy
92-
94+
@Refine
95+
@Interpretable("GroupBySum1")
9396
public fun <T> Grouped<T>.sum(): DataFrame<T> = sumFor(numberColumns())
9497

98+
@Refine
99+
@Interpretable("GroupBySum0")
95100
public fun <T, C : Number> Grouped<T>.sumFor(columns: ColumnsForAggregateSelector<T, C?>): DataFrame<T> =
96101
Aggregators.sum.aggregateFor(this, columns)
97102

@@ -105,6 +110,8 @@ public fun <T, C : Number> Grouped<T>.sumFor(vararg columns: ColumnReference<C?>
105110
public fun <T, C : Number> Grouped<T>.sumFor(vararg columns: KProperty<C?>): DataFrame<T> =
106111
sumFor { columns.toColumnSet() }
107112

113+
@Refine
114+
@Interpretable("GroupBySum0")
108115
public fun <T, C : Number> Grouped<T>.sum(name: String? = null, columns: ColumnsSelector<T, C?>): DataFrame<T> =
109116
Aggregators.sum.aggregateAll(this, name, columns)
110117

@@ -119,6 +126,8 @@ public fun <T, C : Number> Grouped<T>.sum(vararg columns: ColumnReference<C?>, n
119126
public fun <T, C : Number> Grouped<T>.sum(vararg columns: KProperty<C?>, name: String? = null): DataFrame<T> =
120127
sum(name) { columns.toColumnSet() }
121128

129+
@Refine
130+
@Interpretable("GroupBySumOf")
122131
public inline fun <T, reified R : Number> Grouped<T>.sumOf(
123132
resultName: String? = null,
124133
crossinline expression: RowExpression<T, R?>,

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