@@ -95,14 +95,14 @@ public fun <T> DataFrame<T>.minFor(vararg columns: String, skipNaN: Boolean = sk
9595
9696@Deprecated(DEPRECATED_ACCESS_API )
9797@AccessApiOverload
98- public fun <T , C : Comparable <C & Any >? > DataFrame<T>.minFor (
98+ public fun <T , C : Comparable <* >? > DataFrame<T>.minFor (
9999 vararg columns : ColumnReference <C >,
100100 skipNaN : Boolean = skipNaNDefault,
101101): DataRow <T > = minFor(skipNaN) { columns.toColumnSet() }
102102
103103@Deprecated(DEPRECATED_ACCESS_API )
104104@AccessApiOverload
105- public fun <T , C : Comparable <C & Any >? > DataFrame<T>.minFor (
105+ public fun <T , C : Comparable <* >? > DataFrame<T>.minFor (
106106 vararg columns : KProperty <C >,
107107 skipNaN : Boolean = skipNaNDefault,
108108): DataRow <T > = minFor(skipNaN) { columns.toColumnSet() }
@@ -230,14 +230,14 @@ public fun <T> Grouped<T>.minFor(vararg columns: String, skipNaN: Boolean = skip
230230
231231@Deprecated(DEPRECATED_ACCESS_API )
232232@AccessApiOverload
233- public fun <T , C : Comparable <C & Any >? > Grouped<T>.minFor (
233+ public fun <T , C : Comparable <* >? > Grouped<T>.minFor (
234234 vararg columns : ColumnReference <C >,
235235 skipNaN : Boolean = skipNaNDefault,
236236): DataFrame <T > = minFor(skipNaN) { columns.toColumnSet() }
237237
238238@Deprecated(DEPRECATED_ACCESS_API )
239239@AccessApiOverload
240- public fun <T , C : Comparable <C & Any >? > Grouped<T>.minFor (
240+ public fun <T , C : Comparable <* >? > Grouped<T>.minFor (
241241 vararg columns : KProperty <C >,
242242 skipNaN : Boolean = skipNaNDefault,
243243): DataFrame <T > = minFor(skipNaN) { columns.toColumnSet() }
@@ -324,15 +324,15 @@ public fun <T> Pivot<T>.minFor(
324324
325325@Deprecated(DEPRECATED_ACCESS_API )
326326@AccessApiOverload
327- public fun <T , R : Comparable <R & Any >? > Pivot<T>.minFor (
327+ public fun <T , R : Comparable <* >? > Pivot<T>.minFor (
328328 vararg columns : ColumnReference <R >,
329329 separate : Boolean = false,
330330 skipNaN : Boolean = skipNaNDefault,
331331): DataRow <T > = minFor(separate, skipNaN) { columns.toColumnSet() }
332332
333333@Deprecated(DEPRECATED_ACCESS_API )
334334@AccessApiOverload
335- public fun <T , R : Comparable <R & Any >? > Pivot<T>.minFor (
335+ public fun <T , R : Comparable <* >? > Pivot<T>.minFor (
336336 vararg columns : KProperty <R >,
337337 separate : Boolean = false,
338338 skipNaN : Boolean = skipNaNDefault,
@@ -396,11 +396,11 @@ public inline fun <T, reified C : Comparable<C & Any>?> Pivot<T>.minBy(
396396public fun <T > PivotGroupBy<T>.min (separate : Boolean = false, skipNaN : Boolean = skipNaNDefault): DataFrame <T > =
397397 minFor(separate, skipNaN, intraComparableColumns())
398398
399- public fun <T , R : Comparable <R & Any >? > PivotGroupBy<T>.minFor (
399+ public fun <T , R : Comparable <* >? > PivotGroupBy<T>.minFor (
400400 separate : Boolean = false,
401401 skipNaN : Boolean = skipNaNDefault,
402402 columns : ColumnsForAggregateSelector <T , R >,
403- ): DataFrame <T > = Aggregators .min< R > (skipNaN).aggregateFor(this , separate, columns)
403+ ): DataFrame <T > = Aggregators .min.invoke (skipNaN).aggregateFor(this , separate, columns)
404404
405405public fun <T > PivotGroupBy<T>.minFor (
406406 vararg columns : String ,
@@ -410,15 +410,15 @@ public fun <T> PivotGroupBy<T>.minFor(
410410
411411@Deprecated(DEPRECATED_ACCESS_API )
412412@AccessApiOverload
413- public fun <T , R : Comparable <R & Any >? > PivotGroupBy<T>.minFor (
413+ public fun <T , R : Comparable <* >? > PivotGroupBy<T>.minFor (
414414 vararg columns : ColumnReference <R >,
415415 separate : Boolean = false,
416416 skipNaN : Boolean = skipNaNDefault,
417417): DataFrame <T > = minFor(separate, skipNaN) { columns.toColumnSet() }
418418
419419@Deprecated(DEPRECATED_ACCESS_API )
420420@AccessApiOverload
421- public fun <T , R : Comparable <R & Any >? > PivotGroupBy<T>.minFor (
421+ public fun <T , R : Comparable <* >? > PivotGroupBy<T>.minFor (
422422 vararg columns : KProperty <R >,
423423 separate : Boolean = false,
424424 skipNaN : Boolean = skipNaNDefault,
@@ -508,7 +508,7 @@ public inline fun <reified T : Comparable<T & Any>?> AnyRow.rowMinOf(): T & Any
508508public fun <T > DataFrame<T>.min (): DataRow <T > = min(skipNaN = skipNaNDefault)
509509
510510@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
511- public fun <T , C : Comparable <C & Any >? > DataFrame<T>.minFor (columns : ColumnsForAggregateSelector <T , C >): DataRow <T > =
511+ public fun <T , C : Comparable <* >? > DataFrame<T>.minFor (columns : ColumnsForAggregateSelector <T , C >): DataRow <T > =
512512 minFor(skipNaN = skipNaNDefault, columns = columns)
513513
514514@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
@@ -517,12 +517,12 @@ public fun <T> DataFrame<T>.minFor(vararg columns: String): DataRow<T> =
517517
518518@AccessApiOverload
519519@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
520- public fun <T , C : Comparable <C & Any >? > DataFrame<T>.minFor (vararg columns : ColumnReference <C >): DataRow <T > =
520+ public fun <T , C : Comparable <* >? > DataFrame<T>.minFor (vararg columns : ColumnReference <C >): DataRow <T > =
521521 minFor(columns = columns, skipNaN = skipNaNDefault)
522522
523523@AccessApiOverload
524524@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
525- public fun <T , C : Comparable <C & Any >? > DataFrame<T>.minFor (vararg columns : KProperty <C >): DataRow <T > =
525+ public fun <T , C : Comparable <* >? > DataFrame<T>.minFor (vararg columns : KProperty <C >): DataRow <T > =
526526 minFor(columns = columns, skipNaN = skipNaNDefault)
527527
528528@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
@@ -616,7 +616,7 @@ public fun <T> Grouped<T>.min(): DataFrame<T> = min(skipNaN = skipNaNDefault)
616616@Refine
617617@Interpretable(" GroupByMin0" )
618618@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
619- public fun <T , C : Comparable <C & Any >? > Grouped<T>.minFor (columns : ColumnsForAggregateSelector <T , C >): DataFrame <T > =
619+ public fun <T , C : Comparable <* >? > Grouped<T>.minFor (columns : ColumnsForAggregateSelector <T , C >): DataFrame <T > =
620620 minFor(skipNaN = skipNaNDefault, columns = columns)
621621
622622@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
@@ -625,12 +625,12 @@ public fun <T> Grouped<T>.minFor(vararg columns: String): DataFrame<T> =
625625
626626@AccessApiOverload
627627@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
628- public fun <T , C : Comparable <C & Any >? > Grouped<T>.minFor (vararg columns : ColumnReference <C >): DataFrame <T > =
628+ public fun <T , C : Comparable <* >? > Grouped<T>.minFor (vararg columns : ColumnReference <C >): DataFrame <T > =
629629 minFor(columns = columns, skipNaN = skipNaNDefault)
630630
631631@AccessApiOverload
632632@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
633- public fun <T , C : Comparable <C & Any >? > Grouped<T>.minFor (vararg columns : KProperty <C >): DataFrame <T > =
633+ public fun <T , C : Comparable <* >? > Grouped<T>.minFor (vararg columns : KProperty <C >): DataFrame <T > =
634634 minFor(columns = columns, skipNaN = skipNaNDefault)
635635
636636@Refine
@@ -692,7 +692,7 @@ public inline fun <T, G, reified C : Comparable<C & Any>?> GroupBy<T, G>.minBy(
692692public fun <T > Pivot<T>.min (separate : Boolean = false): DataRow <T > = min(separate, skipNaN = skipNaNDefault)
693693
694694@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
695- public fun <T , R : Comparable <R & Any >? > Pivot<T>.minFor (
695+ public fun <T , R : Comparable <* >? > Pivot<T>.minFor (
696696 separate : Boolean = false,
697697 columns : ColumnsForAggregateSelector <T , R >,
698698): DataRow <T > = minFor(separate, skipNaN = skipNaNDefault, columns = columns)
@@ -703,14 +703,14 @@ public fun <T> Pivot<T>.minFor(vararg columns: String, separate: Boolean = false
703703
704704@AccessApiOverload
705705@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
706- public fun <T , R : Comparable <R & Any >? > Pivot<T>.minFor (
706+ public fun <T , R : Comparable <* >? > Pivot<T>.minFor (
707707 vararg columns : ColumnReference <R >,
708708 separate : Boolean = false,
709709): DataRow <T > = minFor(columns = columns, separate = separate, skipNaN = skipNaNDefault)
710710
711711@AccessApiOverload
712712@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
713- public fun <T , R : Comparable <R & Any >? > Pivot<T>.minFor (
713+ public fun <T , R : Comparable <* >? > Pivot<T>.minFor (
714714 vararg columns : KProperty <R >,
715715 separate : Boolean = false,
716716): DataRow <T > = minFor(columns = columns, separate = separate, skipNaN = skipNaNDefault)
@@ -756,7 +756,7 @@ public inline fun <T, reified C : Comparable<C & Any>?> Pivot<T>.minBy(column: K
756756public fun <T > PivotGroupBy<T>.min (separate : Boolean = false): DataFrame <T > = min(separate, skipNaN = skipNaNDefault)
757757
758758@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
759- public fun <T , R : Comparable <R & Any >? > PivotGroupBy<T>.minFor (
759+ public fun <T , R : Comparable <* >? > PivotGroupBy<T>.minFor (
760760 separate : Boolean = false,
761761 columns : ColumnsForAggregateSelector <T , R >,
762762): DataFrame <T > = minFor(separate, skipNaN = skipNaNDefault, columns = columns)
@@ -767,14 +767,14 @@ public fun <T> PivotGroupBy<T>.minFor(vararg columns: String, separate: Boolean
767767
768768@AccessApiOverload
769769@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
770- public fun <T , R : Comparable <R & Any >? > PivotGroupBy<T>.minFor (
770+ public fun <T , R : Comparable <* >? > PivotGroupBy<T>.minFor (
771771 vararg columns : ColumnReference <R >,
772772 separate : Boolean = false,
773773): DataFrame <T > = minFor(columns = columns, separate = separate, skipNaN = skipNaNDefault)
774774
775775@AccessApiOverload
776776@Deprecated(MIN_NO_SKIPNAN , level = DeprecationLevel .HIDDEN )
777- public fun <T , R : Comparable <R & Any >? > PivotGroupBy<T>.minFor (
777+ public fun <T , R : Comparable <* >? > PivotGroupBy<T>.minFor (
778778 vararg columns : KProperty <R >,
779779 separate : Boolean = false,
780780): DataFrame <T > = minFor(columns = columns, separate = separate, skipNaN = skipNaNDefault)
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