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Remove examples for deprecated overloads from tests #1213

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May 23, 2025
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Remove examples for deprecated overloads from tests #1213

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260 changes: 0 additions & 260 deletions core/src/test/kotlin/org/jetbrains/kotlinx/dataframe/samples/api/Access.kt
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,6 @@ import org.jetbrains.kotlinx.dataframe.api.after
import org.jetbrains.kotlinx.dataframe.api.chunked
import org.jetbrains.kotlinx.dataframe.api.colsOf
import org.jetbrains.kotlinx.dataframe.api.column
import org.jetbrains.kotlinx.dataframe.api.columnGroup
import org.jetbrains.kotlinx.dataframe.api.columnOf
import org.jetbrains.kotlinx.dataframe.api.countDistinct
import org.jetbrains.kotlinx.dataframe.api.dataFrameOf
Expand Down Expand Up @@ -68,19 +67,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumnByName_accessors() {
// SampleStart
val age by column<Int>()
val name by columnGroup()
val lastName by name.column<String>()

df[age]
df[lastName]
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumnByName_strings() {
Expand All @@ -98,16 +84,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumn_accessors() {
// SampleStart
val age by column<Int>()

df.getColumn { age }
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumn_strings() {
Expand All @@ -124,16 +100,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumnOrNull_accessors() {
// SampleStart
val age by column<Int>()

df.getColumnOrNull(age)
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumnOrNull_strings() {
Expand All @@ -150,17 +116,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumns_accessors() {
// SampleStart
val age by column<Int>()
val name by columnGroup()

df.getColumns { age and name }
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumns_strings() {
Expand All @@ -177,16 +132,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumnGroup_accessors() {
// SampleStart
val name by columnGroup()

df.getColumnGroup(name)
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumnGroup_strings() {
Expand Down Expand Up @@ -224,23 +169,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getRowByCondition_accessors() {
// SampleStart
val age by column<Int>()
val weight by column<Int?>()
val name by columnGroup()
val firstName by name.column<String>()

df.single { age() == 45 }
df.first { weight() != null }
df.minBy(age)
df.maxBy { firstName().length }
df.maxByOrNull { weight() }
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getRowByCondition_strings() {
Expand Down Expand Up @@ -271,17 +199,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getCell_accessors() {
// SampleStart
val age by column<String>()

df[age][1]
df[1][age]
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumnsByName_properties() {
Expand All @@ -290,17 +207,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumnsByName_accessors() {
// SampleStart
val age by column<Int>()
val weight by column<Int?>()

df[age, weight]
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun getColumnsByName_strings() {
Expand All @@ -317,18 +223,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun select_accessors() {
// SampleStart
val age by column<Int>()
val weight by column<Int?>()

df.select { age and weight }
df.select(age, weight)
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun select_strings() {
Expand Down Expand Up @@ -422,20 +316,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun filter_accessors() {
// SampleStart
val age by column<Int>()
val name by columnGroup()
val firstName by name.column<String>()

df.filter { age() > 18 && firstName().startsWith("A") }
// or
df.filter { it[age] > 18 && it[firstName].startsWith("A") }
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun filter_strings() {
Expand All @@ -452,15 +332,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun filterBy_accessors() {
// SampleStart
val isHappy by column<Boolean>()
df.filterBy { isHappy }
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun filterBy_strings() {
Expand All @@ -477,20 +348,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun dropWhere_accessors() {
// SampleStart
val name by columnGroup()
val weight by column<Int?>()
val city by column<String?>()

df.drop { weight() == null || city() == null }
// or
df.drop { it[weight] == null || it[city] == null }
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun dropWhere_strings() {
Expand Down Expand Up @@ -545,18 +402,6 @@ class Access : TestBase() {
// TODO: df["age"][2..4]
}

@Test
@TransformDataFrameExpressions
fun byColumn_accessors() {
// SampleStart
val name by column<String>()
val age by column<Int>()
df[name][0]
df[name, age][3, 5, 6]
// SampleEnd
// TODO: df[age][2..4]
}

@Test
@TransformDataFrameExpressions
fun byColumn_properties() {
Expand All @@ -577,18 +422,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun byRow_accessors() {
// SampleStart
val name by column<String>()
val age by column<Int>()
df[0][name]
df[3, 5, 6][name, age]
df[3..5][age]
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun byRow_properties() {
Expand Down Expand Up @@ -659,18 +492,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun distinctColumns_accessors() {
// SampleStart
val age by column<Int>()
val name by columnGroup()
df.distinct { age and name }
// same as
df.select { age and name }.distinct()
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun countDistinct() {
Expand All @@ -687,16 +508,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun countDistinctColumns_accessors() {
// SampleStart
val age by column<Int>()
val name by columnGroup()
df.countDistinct { age and name }
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun countDistinctColumns_strings() {
Expand Down Expand Up @@ -725,20 +536,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun distinctBy_accessors() {
// SampleStart
val age by column<Int>()
val name by columnGroup()
val firstName by name.column<String>()

df.distinctBy { age and name }
// same as
df.groupBy { age and name }.mapToRows { group.first() }
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun distinctBy_strings() {
Expand Down Expand Up @@ -798,43 +595,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun columnSelectors_accessors() {
// SampleStart
// by column name
val name by columnGroup()
df.select { it[name] }
df.select { name }

// by column path
val firstName by name.column<String>()
df.select { firstName }

// with a new name
df.select { name named "Full Name" }

// converted
df.select { firstName.map { it.lowercase() } }

// column arithmetics
val age by column<Int>()
df.select { 2021 - age }

// two columns
df.select { name and age }

// range of columns
df.select { name..age }

// all columns of ColumnGroup
df.select { name.allCols() }

// traversal of columns at any depth from here excluding ColumnGroups
df.select { name.colsAtAnyDepth { !it.isColumnGroup() } }
// SampleEnd
}

@Test
fun columnSelectors_kproperties() {
// SampleStart
Expand Down Expand Up @@ -1019,26 +779,6 @@ class Access : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun forRows_accessors() {
// SampleStart
val age by column<Int>()

for (row in df) {
println(row[age])
}

df.forEach {
println(it[age])
}

df.rows().forEach {
println(it[age])
}
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun forRows_strings() {
Expand Down
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