| // CHECK_TYPE_WITH_EXACT | |
| import org.jetbrains.kotlinx.dataframe.* | |
| import org.jetbrains.kotlinx.dataframe.annotations.* | |
| import org.jetbrains.kotlinx.dataframe.api.* | |
| import org.jetbrains.kotlinx.dataframe.io.* | |
| fun box(): String { | |
| val df = dataFrameOf("timestamps")(listOf(100, 113, 140), listOf(400, 410, 453)) | |
| val df1 = df.explode { timestamps } | |
| val timestamps: DataColumn<Int> = df1.timestamps | |
| timestamps.print() | |
| val df2 = dataFrameOf("a", "b")(listOf(100, 113, 140), listOf(400, 410)) | |
| val df3 = df2.explode { a and b } | |
| // exploding multiple columns will introduce nulls | |
| df3.print() | |
| // compiler needs to play safe and make both selected columns nullable | |
| checkExactType<Int?>(df3[0].a) | |
| checkExactType<Int?>(df3[0].b) | |
| // compile time schema is still compatible with runtime | |
| df3.compareSchemas() | |
| return "OK" | |
| } |