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koperagenkoperagen
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Add documentation for replaceAll
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‎core/generated-sources/src/test/kotlin/org/jetbrains/kotlinx/dataframe/samples/api/Modify.kt‎

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@@ -73,6 +73,7 @@ import org.jetbrains.kotlinx.dataframe.api.remove
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import org.jetbrains.kotlinx.dataframe.api.rename
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import org.jetbrains.kotlinx.dataframe.api.reorder
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import org.jetbrains.kotlinx.dataframe.api.replace
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import org.jetbrains.kotlinx.dataframe.api.replaceAll
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import org.jetbrains.kotlinx.dataframe.api.reverse
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import org.jetbrains.kotlinx.dataframe.api.schema
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import org.jetbrains.kotlinx.dataframe.api.select
@@ -174,6 +175,19 @@ class Modify : TestBase() {
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// SampleEnd
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}
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@Test
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@TransformDataFrameExpressions
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fun replaceAll() {
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// SampleStart
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functions.replaceAll(
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"AnyFrame" to "DataFrame",
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"DataFrame<*>" to "DataFrame",
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"DataRow<*>" to "DataRow",
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"DataColumn<T>" to "DataColumn"
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) { receiverType and returnType }
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// SampleEnd
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}
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@Test
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@TransformDataFrameExpressions
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fun convert() {

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

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@@ -3,6 +3,7 @@ package org.jetbrains.kotlinx.dataframe.samples.api
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import io.kotest.matchers.should
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import io.kotest.matchers.shouldBe
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import io.kotest.matchers.shouldNotBe
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import org.jetbrains.kotlinx.dataframe.DataFrame
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import org.jetbrains.kotlinx.dataframe.DataRow
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import org.jetbrains.kotlinx.dataframe.annotations.DataSchema
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import org.jetbrains.kotlinx.dataframe.api.asColumnGroup
@@ -18,6 +19,7 @@ import org.jetbrains.kotlinx.dataframe.api.to
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import org.jetbrains.kotlinx.dataframe.columns.ColumnWithPath
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import org.jetbrains.kotlinx.dataframe.explainer.PluginCallbackProxy
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import org.jetbrains.kotlinx.dataframe.impl.columns.asValueColumn
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import org.jetbrains.kotlinx.dataframe.io.readJsonStr
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import org.junit.After
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import org.junit.Before
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@@ -108,6 +110,118 @@ public open class TestBase {
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infix fun <T, U : T> T.willBe(expected: U?) = shouldBe(expected)
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@DataSchema
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interface Functions {
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val receiverType: String
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val name: String
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val parameters: List<String>
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val returnType: String
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}
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val functions = DataFrame.readJsonStr("""
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[{
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"receiverType": "DataRow<*>",
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"name": "rowStd",
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"parameters": ["skipNA: Boolean = skipNA_default", "ddof: Int = ddof_default"],
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"returnType": "Double"
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}, {
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"receiverType": "DataRow<*>",
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"name": "rowStdOf",
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"parameters": ["ddof: Int = ddof_default"],
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"returnType": "Double"
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}, {
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"receiverType": "DataFrame",
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"name": "stdFor",
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"parameters": ["skipNA: Boolean = skipNA_default", "ddof: Int = ddof_default", "columns: ColumnsForAggregateSelector<T, Number?>"],
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"returnType": "DataRow"
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}, {
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"receiverType": "DataFrame",
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"name": "replace",
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"parameters": ["columns: ColumnsSelector<T, C>"],
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"returnType": "ReplaceClause"
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}, {
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"receiverType": "DataFrame",
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"name": "replaceAll",
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"parameters": ["vararg valuePairs: Pair<Any?, Any?>", "columns: ColumnsSelector<T, *> = { colsAtAnyDepth { !it.isColumnGroup() } }"],
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"returnType": "DataFrame"
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}, {
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"receiverType": "DataFrame",
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"name": "dropWhile",
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"parameters": ["predicate: RowFilter<T>"],
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"returnType": "DataFrame"
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}, {
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"receiverType": "DataFrame",
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"name": "copy",
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"parameters": [],
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"returnType": "DataFrame"
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}, {
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"receiverType": "DataFrame",
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"name": "tail",
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"parameters": ["numRows: Int = 5"],
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"returnType": "DataFrame"
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}, {
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"receiverType": "DataFrame",
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"name": "mapToFrame",
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"parameters": ["body: AddDsl<T>.() -> Unit"],
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"returnType": "AnyFrame"
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}, {
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"receiverType": "DataFrame<*>",
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"name": "toMap",
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"parameters": [],
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"returnType": "Map<String, List<Any?>>"
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}, {
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"receiverType": "DataFrame",
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"name": "asGroupBy",
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"parameters": ["groupedColumnName: String"],
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"returnType": "GroupBy"
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}, {
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"receiverType": "DataFrame",
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"name": "select",
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"parameters": ["columns: ColumnsSelector<T, *>"],
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"returnType": "DataFrame"
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}, {
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"receiverType": "DataFrame",
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"name": "split",
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"parameters": ["columns: ColumnsSelector<T, C?>"],
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"returnType": "Split"
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}, {
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"receiverType": "DataRow<*>",
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"name": "allNA",
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"parameters": [],
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"returnType": "Boolean"
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}, {
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"receiverType": "DataRow<*>",
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"name": "rowMean",
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"parameters": ["skipNA: Boolean = skipNA_default"],
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"returnType": "Double"
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}, {
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"receiverType": "DataRow<*>",
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"name": "rowMeanOf",
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"parameters": [],
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"returnType": "Double"
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}, {
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"receiverType": "DataFrame",
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"name": "meanFor",
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"parameters": ["skipNA: Boolean = skipNA_default", "columns: ColumnsForAggregateSelector<T, C?>"],
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"returnType": "DataRow"
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}, {
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"receiverType": "DataFrame",
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"name": "fillNulls",
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"parameters": ["columns: ColumnsSelector<T, C?>"],
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"returnType": "Update"
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}, {
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"receiverType": "DataFrame",
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"name": "fillNaNs",
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"parameters": ["columns: ColumnsSelector<T, C>"],
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"returnType": "Update"
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}, {
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"receiverType": "DataFrame",
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"name": "fillNA",
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"parameters": ["columns: ColumnsSelector<T, C?>"],
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"returnType": "Update"
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}]
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""".trimIndent()).cast<Functions>(verify = true)
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/**
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* Asserts that all elements of the iterable are equal to each other
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*/

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

Lines changed: 13 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -73,6 +73,7 @@ import org.jetbrains.kotlinx.dataframe.api.remove
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import org.jetbrains.kotlinx.dataframe.api.rename
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import org.jetbrains.kotlinx.dataframe.api.reorder
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import org.jetbrains.kotlinx.dataframe.api.replace
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import org.jetbrains.kotlinx.dataframe.api.replaceAll
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import org.jetbrains.kotlinx.dataframe.api.reverse
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import org.jetbrains.kotlinx.dataframe.api.schema
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import org.jetbrains.kotlinx.dataframe.api.select
@@ -174,6 +175,18 @@ class Modify : TestBase() {
174175
// SampleEnd
175176
}
176177

178+
@Test
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@TransformDataFrameExpressions
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fun replaceAll() {
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// SampleStart
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functions.replaceAll(
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"DataFrame<*>" to "DataFrame",
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"DataRow<*>" to "DataRow",
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"AnyRow" to "DataRow",
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) { receiverType and returnType }
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// SampleEnd
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}
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177190
@Test
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@TransformDataFrameExpressions
179192
fun convert() {

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

Lines changed: 109 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -3,6 +3,7 @@ package org.jetbrains.kotlinx.dataframe.samples.api
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import io.kotest.matchers.should
44
import io.kotest.matchers.shouldBe
55
import io.kotest.matchers.shouldNotBe
6+
import org.jetbrains.kotlinx.dataframe.DataFrame
67
import org.jetbrains.kotlinx.dataframe.DataRow
78
import org.jetbrains.kotlinx.dataframe.annotations.DataSchema
89
import org.jetbrains.kotlinx.dataframe.api.asColumnGroup
@@ -18,6 +19,7 @@ import org.jetbrains.kotlinx.dataframe.api.to
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import org.jetbrains.kotlinx.dataframe.columns.ColumnWithPath
1920
import org.jetbrains.kotlinx.dataframe.explainer.PluginCallbackProxy
2021
import org.jetbrains.kotlinx.dataframe.impl.columns.asValueColumn
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import org.jetbrains.kotlinx.dataframe.io.readJsonStr
2123
import org.junit.After
2224
import org.junit.Before
2325

@@ -108,6 +110,113 @@ public open class TestBase {
108110

109111
infix fun <T, U : T> T.willBe(expected: U?) = shouldBe(expected)
110112

113+
@DataSchema
114+
interface Functions {
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val receiverType: String
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val name: String
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val parameters: List<String>
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val returnType: String
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}
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val functions = DataFrame.readJsonStr("""
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[{
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"receiverType": "DataRow<*>",
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"name": "rowStd",
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"parameters": ["skipNA: Boolean = skipNA_default", "ddof: Int = ddof_default"],
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"returnType": "Double"
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}, {
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"receiverType": "DataRow<*>",
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"name": "rowStdOf",
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"parameters": ["ddof: Int = ddof_default"],
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"returnType": "Double"
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}, {
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"receiverType": "DataFrame",
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"name": "stdFor",
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"parameters": ["skipNA: Boolean = skipNA_default", "ddof: Int = ddof_default", "columns: ColumnsForAggregateSelector<T, Number?>"],
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"returnType": "DataRow"
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}, {
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"receiverType": "DataFrame",
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"name": "replace",
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"parameters": ["columns: ColumnsSelector<T, C>"],
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"returnType": "ReplaceClause"
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}, {
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"receiverType": "DataFrame",
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"name": "copy",
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"parameters": [],
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"returnType": "DataFrame"
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},{
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"receiverType": "AnyRow",
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"name": "transposeTo",
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"parameters": [],
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"returnType": "DataFrame"
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}, {
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"receiverType": "DataFrame",
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"name": "tail",
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"parameters": ["numRows: Int = 5"],
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"returnType": "DataFrame"
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}, {
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"receiverType": "DataFrame",
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"name": "mapToFrame",
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"parameters": ["body: AddDsl<T>.() -> Unit"],
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"returnType": "AnyFrame"
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}, {
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"receiverType": "DataFrame",
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"name": "asGroupBy",
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"parameters": ["groupedColumnName: String"],
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"returnType": "GroupBy"
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}, {
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"receiverType": "DataFrame",
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"name": "select",
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"parameters": ["columns: ColumnsSelector<T, *>"],
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"returnType": "DataFrame"
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}, {
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"receiverType": "DataFrame",
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"name": "split",
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"parameters": ["columns: ColumnsSelector<T, C?>"],
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"returnType": "Split"
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}, {
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"receiverType": "DataRow<*>",
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"name": "allNA",
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"parameters": [],
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"returnType": "Boolean"
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}, {
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"receiverType": "DataRow<*>",
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"name": "rowMean",
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"parameters": ["skipNA: Boolean = skipNA_default"],
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"returnType": "Double"
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}, {
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"receiverType": "DataRow<*>",
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"name": "rowMeanOf",
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"parameters": [],
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"returnType": "Double"
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}, {
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"receiverType": "DataFrame",
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"name": "meanFor",
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"parameters": ["skipNA: Boolean = skipNA_default", "columns: ColumnsForAggregateSelector<T, C?>"],
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"returnType": "DataRow"
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}, {
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"receiverType": "DataFrame",
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"name": "fillNulls",
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"parameters": ["columns: ColumnsSelector<T, C?>"],
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"returnType": "Update"
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}, {
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"receiverType": "DataFrame",
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"name": "fillNaNs",
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"parameters": ["columns: ColumnsSelector<T, C>"],
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"returnType": "Update"
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}, {
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"receiverType": "DataFrame",
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"name": "fillNA",
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"parameters": ["columns: ColumnsSelector<T, C?>"],
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"returnType": "Update"
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}, {
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"receiverType": "DataFrame<*>",
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"name": "toListOf",
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"parameters": [],
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"returnType": "List<T>"
217+
}]
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""".trimIndent()).cast<Functions>(verify = true)
219+
111220
/**
112221
* Asserts that all elements of the iterable are equal to each other
113222
*/

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