Automated commit of generated code

Author: github-actions[bot]

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

@@ -24,32 +24,181 @@ import kotlin.reflect.KProperty
 
 // region DataColumn
 
+/**
+ * Returns the first value in this [DataColumn].
+ *
+ * See also [firstOrNull], [last], [take], [takeLast].
+ *
+ * @return The first value in this [DataColumn].
+ *
+ * @throws [IndexOutOfBoundsException] if the [DataColumn] is empty.
+ */
 public fun <T> DataColumn<T>.first(): T = get(0)
 
+/**
+ * Returns the first value in this [DataColumn]. If the [DataColumn] is empty, returns `null`.
+ *
+ * See also [first], [last], [take], [takeLast].
+ *
+ * @return The first value in this [DataColumn], or `null` if the [DataColumn] is empty.
+ */
 public fun <T> DataColumn<T>.firstOrNull(): T? = if (size > 0) first() else null
 
+/**
+ * Returns the first value in this [DataColumn] that matches the given [predicate].
+ *
+ * ### Example
+ * ```kotlin
+ * // In a DataFrame of financial transactions sorted by time,
+ * // find the amount of the first transaction over 100 euros
+ * df.amount.first { it > 100 }
+ * ```
+ *
+ * See also [firstOrNull], [last], [take], [takeLast].
+ *
+ * @param [predicate] A lambda expression used to get the first value
+ * that satisfies a condition specified in this expression.
+ * This predicate takes a value from the [DataColumn] as an input
+ * and returns `true` if the value satisfies the condition or `false` otherwise.
+ *
+ * @return The first value in this [DataColumn] that matches the given [predicate].
+ *
+ * @throws [NoSuchElementException] if the [DataColumn] contains no elements matching the [predicate]
+ * (including the case when the [DataColumn] is empty).
+ */
 public fun <T> DataColumn<T>.first(predicate: (T) -> Boolean): T = values.first(predicate)
 
+/**
+ * Returns the first value in this [DataColumn] that matches the given [predicate].
+ * Returns `null` if the [DataColumn] contains no elements matching the [predicate]
+ * (including the case when the [DataColumn] is empty).
+ *
+ * ### Example
+ * ```kotlin
+ * // In a DataFrame of financial transactions sorted by time,
+ * // find the amount of the first transaction over 100 euros,
+ * // or 'null' if there is no such transaction
+ * df.amount.firstOrNull { it > 100 }
+ * ```
+ *
+ * See also [first], [last], [take], [takeLast].
+ *
+ * @param [predicate] A lambda expression used to get the first value
+ * that satisfies a condition specified in this expression.
+ * This predicate takes a value from the [DataColumn] as an input
+ * and returns `true` if the value satisfies the condition or `false` otherwise.
+ *
+ * @return The first value in this [DataColumn] that matches the given [predicate],
+ * or `null` if the [DataColumn] contains no elements matching the [predicate].
+ */
 public fun <T> DataColumn<T>.firstOrNull(predicate: (T) -> Boolean): T? = values.firstOrNull(predicate)
 
 // endregion
 
 // region DataFrame
 
+/**
+ * Returns the first [row][DataRow] in this [DataFrame].
+ *
+ * See also [firstOrNull][DataFrame.firstOrNull],
+ * [last][DataFrame.last],
+ * [take][DataFrame.take],
+ * [takeWhile][DataFrame.takeWhile],
+ * [takeLast][DataFrame.takeLast].
+ *
+ * @return A [DataRow] containing the first row in this [DataFrame].
+ *
+ * @throws NoSuchElementException if the [DataFrame] contains no rows.
+ */
 public fun <T> DataFrame<T>.first(): DataRow<T> {
     if (nrow == 0) {
         throw NoSuchElementException("DataFrame has no rows. Use `firstOrNull`.")
     }
     return get(0)
 }
 
+/**
+ * Returns the first [row][DataRow] in this [DataFrame]. If the [DataFrame] does not contain any rows, returns `null`.
+ *
+ * See also [first][DataFrame.first],
+ * [last][DataFrame.last],
+ * [take][DataFrame.take],
+ * [takeWhile][DataFrame.takeWhile],
+ * [takeLast][DataFrame.takeLast].
+ *
+ * @return A [DataRow] containing the first row in this [DataFrame], or `null` if the [DataFrame] is empty.
+ */
 public fun <T> DataFrame<T>.firstOrNull(): DataRow<T>? = if (nrow > 0) first() else null
 
+/**
+ * Returns the first [row][DataRow] in this [DataFrame] that satisfies the given [predicate].
+ *
+ * The [predicate] is a [RowFilter][org.jetbrains.kotlinx.dataframe.RowFilter] — a lambda that receives each [DataRow][org.jetbrains.kotlinx.dataframe.DataRow] as both `this` and `it`
+ * and is expected to return a [Boolean] value.
+ *
+ * It allows you to define conditions using the row's values directly,
+ * including through [extension properties][org.jetbrains.kotlinx.dataframe.documentation.ExtensionPropertiesAPIDocs] for convenient and type-safe access.
+ *
+ * This can include [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and nested columns.
+ *
+ * ### Example
+ * ```kotlin
+ * // In a DataFrame of financial transactions sorted by time,
+ * // find the first transaction with amount over 100 euros
+ * df.first { amount > 100 }
+ * ```
+ *
+ * See also [firstOrNull][DataFrame.firstOrNull],
+ * [last][DataFrame.last],
+ * [take][DataFrame.take],
+ * [takeWhile][DataFrame.takeWhile],
+ * [takeLast][DataFrame.takeLast].
+ *
+ * @param [predicate] A [row filter][RowFilter] used to get the first value
+ * that satisfies a condition specified in this filter.
+ *
+ * @return A [DataRow] containing the first row that matches the given [predicate].
+ *
+ * @throws [NoSuchElementException] if the [DataFrame] contains no rows matching the [predicate].
+ */
 public inline fun <T> DataFrame<T>.first(predicate: RowFilter<T>): DataRow<T> =
     rows().first {
         predicate(it, it)
     }
 
+/**
+ * Returns the first [row][DataRow] in this [DataFrame] that satisfies the given [predicate].
+ * Returns `null` if the [DataFrame] contains no rows matching the [predicate]
+ * (including the case when the [DataFrame] is empty).
+ *
+ * The [predicate] is a [RowFilter][org.jetbrains.kotlinx.dataframe.RowFilter] — a lambda that receives each [DataRow][org.jetbrains.kotlinx.dataframe.DataRow] as both `this` and `it`
+ * and is expected to return a [Boolean] value.
+ *
+ * It allows you to define conditions using the row's values directly,
+ * including through [extension properties][org.jetbrains.kotlinx.dataframe.documentation.ExtensionPropertiesAPIDocs] for convenient and type-safe access.
+ *
+ * This can include [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and nested columns.
+ *
+ * ### Example
+ * ```kotlin
+ * // In a DataFrame of financial transactions sorted by time,
+ * // find the first transaction with amount over 100 euros,
+ * // or 'null' if there is no such transaction
+ * df.firstOrNull { amount > 100 }
+ * ```
+ *
+ * See also [first][DataFrame.first],
+ * [last][DataFrame.last],
+ * [take][DataFrame.take],
+ * [takeWhile][DataFrame.takeWhile],
+ * [takeLast][DataFrame.takeLast].
+ *
+ * @param [predicate] A [row filter][RowFilter] used to get the first value
+ * that satisfies a condition specified in this filter.
+ *
+ * @return A [DataRow] containing the first row that matches the given [predicate],
+ * or `null` if the [DataFrame] contains no rows matching the [predicate].
+ */
 public inline fun <T> DataFrame<T>.firstOrNull(predicate: RowFilter<T>): DataRow<T>? =
     rows().firstOrNull {
         predicate(it, it)
@@ -59,26 +208,198 @@ public inline fun <T> DataFrame<T>.firstOrNull(predicate: RowFilter<T>): DataRow
 
 // region GroupBy
 
+/**
+ * [Reduces][GroupByDocs.Reducing] the groups of this [GroupBy]
+ * by taking the first [row][DataRow] from each group,
+ * and returns a [ReducedGroupBy] containing these rows
+ * (one [row][DataRow] per group, each [row][DataRow] is the first [row][DataRow] in its group).
+ *
+ * If a group in this [GroupBy] is empty,
+ * the corresponding [row][DataRow] in the resulting [ReducedGroupBy] will contain `null` values
+ * for all columns in the group, except the grouping key.
+ *
+ * ### Example
+ * ```kotlin
+ * // In a DataFrame of orders sorted by date and time,
+ * // find the first order placed by each customer
+ * df.groupBy { customerId }.first().concat()
+ * ```
+ *
+ * See also [last][GroupBy.last].
+ *
+ * @return A [ReducedGroupBy] containing the first [row][DataRow]
+ * (or a [row][DataRow] with `null` values, except the grouping key) from each group.
+ */
 @Interpretable("GroupByReducePredicate")
 public fun <T, G> GroupBy<T, G>.first(): ReducedGroupBy<T, G> = reduce { firstOrNull() }
 
+/**
+ * [Reduces][GroupByDocs.Reducing] the groups of this [GroupBy]
+ * by taking from each group the first [row][DataRow] satisfying the given [predicate],
+ * and returns a [ReducedGroupBy] containing these rows (one [row][DataRow] per group,
+ * each [row][DataRow] is the first [row][DataRow] in its group that satisfies the [predicate]).
+ *
+ * If the group in [GroupBy] contains no matching rows,
+ * the corresponding row in [ReducedGroupBy] will contain `null` values for all columns in the group,
+ * except the grouping key.
+ *
+ * The [predicate] is a [RowFilter][org.jetbrains.kotlinx.dataframe.RowFilter] — a lambda that receives each [DataRow][org.jetbrains.kotlinx.dataframe.DataRow] as both `this` and `it`
+ * and is expected to return a [Boolean] value.
+ *
+ * It allows you to define conditions using the row's values directly,
+ * including through [extension properties][org.jetbrains.kotlinx.dataframe.documentation.ExtensionPropertiesAPIDocs] for convenient and type-safe access.
+ *
+ * This can include [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and nested columns.
+ *
+ * ### Example
+ * ```kotlin
+ * // In a DataFrame of orders sorted by date and time,
+ * // find the first order over 100 euros placed by each customer
+ * df.groupBy { customerId }.first { total > 100 }.concat()
+ * ```
+ *
+ * See also [last][GroupBy.last].
+ *
+ * @param [predicate] A [row filter][RowFilter] used to get the first value
+ * that satisfies a condition specified in this filter.
+ *
+ * @return A [ReducedGroupBy] containing the first [row][DataRow] matching the [predicate]
+ * (or a [row][DataRow] with `null` values, except the grouping key) from each group.
+ */
 @Interpretable("GroupByReducePredicate")
 public fun <T, G> GroupBy<T, G>.first(predicate: RowFilter<G>): ReducedGroupBy<T, G> = reduce { firstOrNull(predicate) }
 
 // endregion
 
 // region Pivot
 
+/**
+ * [Reduces][PivotDocs.Reducing] this [Pivot] by taking the first [row][DataRow] from each group,
+ * and returns a [ReducedPivot] that contains the first [row][DataRow] from the corresponding group in each column.
+ *
+ * For more information about [Pivot] with examples: [See `pivot` on the documentation website.](https://kotlin.github.io/dataframe/pivot.html)
+ *
+ * ### Example
+ * ```kotlin
+ * // In a DataFrame of real estate listings sorted by price,
+ * // find the cheapest listing for each type of property (house, apartment, etc.)
+ * df.pivot { type }.first().values()
+ * ```
+ *
+ * See also [pivot], [reduce][Pivot.reduce], [last][Pivot.last].
+ *
+ * @return A [ReducedPivot] containing in each column the first [row][DataRow] from the corresponding group.
+ */
 public fun <T> Pivot<T>.first(): ReducedPivot<T> = reduce { firstOrNull() }
 
+/**
+ * [Reduces][PivotDocs.Reducing] this [Pivot] by taking from each group the first [row][DataRow]
+ * satisfying the given [predicate], and returns a [ReducedPivot] that contains the first row, matching the [predicate],
+ * from the corresponding group in each column.
+ *
+ * For more information about [Pivot] with examples: [See `pivot` on the documentation website.](https://kotlin.github.io/dataframe/pivot.html)
+ *
+ * The [predicate] is a [RowFilter][org.jetbrains.kotlinx.dataframe.RowFilter] — a lambda that receives each [DataRow][org.jetbrains.kotlinx.dataframe.DataRow] as both `this` and `it`
+ * and is expected to return a [Boolean] value.
+ *
+ * It allows you to define conditions using the row's values directly,
+ * including through [extension properties][org.jetbrains.kotlinx.dataframe.documentation.ExtensionPropertiesAPIDocs] for convenient and type-safe access.
+ *
+ * This can include [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and nested columns.
+ *
+ * ### Example
+ * ```kotlin
+ * // In a DataFrame of real estate listings sorted by price,
+ * // find the cheapest listing for each type of property (house, apartment, etc.)
+ * // with is not yet sold out.
+ * df.pivot { type }.first { !soldOut }.values()
+ * ```
+ *
+ * See also [pivot], [reduce][Pivot.reduce], [last][Pivot.last].
+ *
+ * @param [predicate] A [row filter][RowFilter] used to get the first value
+ * that satisfies a condition specified in this filter.
+ *
+ * @return A [ReducedPivot] containing in each column the first [row][DataRow]
+ * that satisfies the [predicate], from the corresponding group (or a [row][DataRow] with `null` values).
+ */
 public fun <T> Pivot<T>.first(predicate: RowFilter<T>): ReducedPivot<T> = reduce { firstOrNull(predicate) }
 
 // endregion
 
 // region PivotGroupBy
 
+/**
+ * [Reduces][PivotGroupByDocs.Reducing] this [PivotGroupBy] by taking the first [row][DataRow]
+ * from each combined [pivot] + [groupBy] group, and returns a [ReducedPivotGroupBy]
+ * that contains the first row from each corresponding group.
+ * If any combined [pivot] + [groupBy] group in [PivotGroupBy] is empty, in the resulting [ReducedPivotGroupBy]
+ * it will be represented by a [row][DataRow] with `null` values (except the grouping key).
+ *
+ * For more information about [PivotGroupBy] with examples: [See "`pivot` + `groupBy`" on the documentation website.](https://kotlin.github.io/dataframe/pivot.html#pivot-groupby)
+ *
+ * ### Example
+ * ```kotlin
+ * // In a DataFrame of real estate listings sorted by price,
+ * // find the cheapest listing for each combination of type of property (house, apartment, etc.)
+ * // and the city it is located in
+ * df.pivot { type }.groupBy { city }.first().values()
+ * ```
+ *
+ * See also [groupBy][Pivot.groupBy],
+ * [pivot][GroupBy.pivot],
+ * [reduce][PivotGroupBy.reduce],
+ * [last][PivotGroupBy.last].
+ *
+ * @return A [ReducedPivotGroupBy] containing in each combination of a [groupBy] key and a [pivot] key either
+ * the first [row][DataRow] of the corresponding [DataFrame] formed by this pivot–group pair,
+ * or a [row][DataRow] with `null` values (except the grouping key) if this [DataFrame] is empty.
+ */
 public fun <T> PivotGroupBy<T>.first(): ReducedPivotGroupBy<T> = reduce { firstOrNull() }
 
+/**
+ * [Reduces][PivotGroupByDocs.Reducing] this [PivotGroupBy]
+ * by taking from each combined [pivot] + [groupBy] group the first [row][DataRow] satisfying the given [predicate].
+ * Returns a [ReducedPivotGroupBy] that contains the first row, matching the [predicate], from each corresponding group.
+ * If any combined [pivot] + [groupBy] group in [PivotGroupBy] does not contain any rows matching the [predicate],
+ * in the resulting [ReducedPivotGroupBy] it will be represented by a [row][DataRow] with `null` values
+ * (except the grouping key).
+ *
+ * [See "`pivot` + `groupBy`" on the documentation website.](https://kotlin.github.io/dataframe/pivot.html#pivot-groupby)
+ *
+ * [See `pivot` on the documentation website.](https://kotlin.github.io/dataframe/pivot.html)
+ *
+ * [See `groupBy` on the documentation website.](https://kotlin.github.io/dataframe/groupby.html)
+ *
+ * The [predicate] is a [RowFilter][org.jetbrains.kotlinx.dataframe.RowFilter] — a lambda that receives each [DataRow][org.jetbrains.kotlinx.dataframe.DataRow] as both `this` and `it`
+ * and is expected to return a [Boolean] value.
+ *
+ * It allows you to define conditions using the row's values directly,
+ * including through [extension properties][org.jetbrains.kotlinx.dataframe.documentation.ExtensionPropertiesAPIDocs] for convenient and type-safe access.
+ *
+ * This can include [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and nested columns.
+ *
+ * ### Example
+ * ```kotlin
+ * // In a DataFrame of real estate listings sorted by price,
+ * // for each combination of type of property (house, apartment, etc.)
+ * // and the city it is located in,
+ * // find the cheapest listing that is not yet sold out
+ * df.pivot { type }.groupBy { city }.first { !soldOut }.values()
+ * ```
+ *
+ * See also [groupBy][Pivot.groupBy],
+ * [pivot][GroupBy.pivot],
+ * [reduce][PivotGroupBy.reduce],
+ * [last][PivotGroupBy.last].
+ *
+ * @param [predicate] A [row filter][RowFilter] used to get the first value
+ * that satisfies a condition specified in this filter.
+ *
+ * @return A [ReducedPivotGroupBy] containing in each combination of a [groupBy] key and a [pivot] key either
+ * the first matching the [predicate] [row][DataRow] of the corresponding [DataFrame] formed by this pivot–group pair,
+ * or a [row][DataRow] with `null` values if this [DataFrame] does not contain any rows matching the [predicate].
+ */
 public fun <T> PivotGroupBy<T>.first(predicate: RowFilter<T>): ReducedPivotGroupBy<T> =
     reduce { firstOrNull(predicate) }