Merge pull request #1040 from Kotlin/stabilize-fast-double-parser

Stabilize FastDoubleParser part 1

core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/convert.kt

@@ -36,6 +36,7 @@ import org.jetbrains.kotlinx.dataframe.impl.api.toLocalDateTime
 import org.jetbrains.kotlinx.dataframe.impl.api.toLocalTime
 import org.jetbrains.kotlinx.dataframe.impl.api.withRowCellImpl
 import org.jetbrains.kotlinx.dataframe.impl.headPlusArray
+import org.jetbrains.kotlinx.dataframe.impl.io.FastDoubleParser
 import org.jetbrains.kotlinx.dataframe.io.toDataFrame
 import java.math.BigDecimal
 import java.math.BigInteger
@@ -226,8 +227,8 @@ public fun DataColumn<String>.convertToDouble(locale: Locale? = null): DataColum
  * @include [DataColumnStringConvertToDoubleDoc]
  * @param nullStrings a set of strings that should be treated as `null` values.
  *   The default in [DataFrame.parser][DataFrame.Companion.parser] is ["null", "NULL", "NA", "N/A"].
- * @param useFastDoubleParser whether to use the new _experimental_ FastDoubleParser.
- *   The default in [DataFrame.parser][DataFrame.Companion.parser] is `false` for now.
+ * @param useFastDoubleParser whether to use [FastDoubleParser].
+ *   The default in [DataFrame.parser][DataFrame.Companion.parser] is `true`.
  */
 @JvmName("convertToDoubleFromString")
 public fun DataColumn<String>.convertToDouble(
@@ -246,8 +247,8 @@ public fun DataColumn<String?>.convertToDouble(locale: Locale? = null): DataColu
  * @include [DataColumnStringConvertToDoubleDoc]
  * @param nullStrings a set of strings that should be treated as `null` values.
  *   The default in [DataFrame.parser][DataFrame.Companion.parser] is ["null", "NULL", "NA", "N/A"].
- * @param useFastDoubleParser whether to use the new _experimental_ FastDoubleParser.
- *   The default in [DataFrame.parser][DataFrame.Companion.parser] is `false` for now.
+ * @param useFastDoubleParser whether to use [FastDoubleParser].
+ *   The default in [DataFrame.parser][DataFrame.Companion.parser] is `true`.
  */
 @JvmName("convertToDoubleFromStringNullable")
 public fun DataColumn<String?>.convertToDouble(

core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/parse.kt

@@ -11,6 +11,7 @@ import org.jetbrains.kotlinx.dataframe.impl.api.Parsers
 import org.jetbrains.kotlinx.dataframe.impl.api.StringParser
 import org.jetbrains.kotlinx.dataframe.impl.api.parseImpl
 import org.jetbrains.kotlinx.dataframe.impl.api.tryParseImpl
+import org.jetbrains.kotlinx.dataframe.impl.io.FastDoubleParser
 import org.jetbrains.kotlinx.dataframe.io.readCSV
 import org.jetbrains.kotlinx.dataframe.typeClass
 import org.jetbrains.kotlinx.dataframe.util.PARSER_OPTIONS
@@ -45,6 +46,12 @@ public fun <T, C> DataFrame<T>.parse(vararg columns: ColumnReference<C>, options
 public fun <T, C> DataFrame<T>.parse(vararg columns: KProperty<C>, options: ParserOptions? = null): DataFrame<T> =
     parse(options) { columns.toColumnSet() }
 
+/**
+ * Global counterpart of [ParserOptions].
+ * Settings changed here will affect the defaults for all parsing operations.
+ *
+ * The default values are set by [Parsers.resetToDefault].
+ */
 public interface GlobalParserOptions {
 
     public fun addDateTimePattern(pattern: String)
@@ -54,7 +61,7 @@ public interface GlobalParserOptions {
     /** This function can be called to skip some types. Parsing will be attempted for all other types. */
     public fun addSkipType(type: KType)
 
-    /** Whether to use the new _experimental_ FastDoubleParser, defaults to `false` for now. */
+    /** Whether to use [FastDoubleParser], defaults to `true`. Please report any issues you encounter. */
     public var useFastDoubleParser: Boolean
 
     public fun resetToDefault()
@@ -91,7 +98,7 @@ public interface GlobalParserOptions {
  *   `["null", "NULL", "NA", "N/A"]`.
  * @param skipTypes a set of types that should be skipped during parsing. Parsing will be attempted for all other types.
  *   By default, it's an empty set. To skip all types except a specified one, use [convertTo] instead.
- * @param useFastDoubleParser whether to use the new _experimental_ FastDoubleParser, defaults to `false` for now.
+ * @param useFastDoubleParser whether to use [FastDoubleParser], defaults to `true`. Please report any issues you encounter.
  */
 public class ParserOptions(
     public val locale: Locale? = null,

core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/impl/api/parse.kt

@@ -25,6 +25,7 @@ import org.jetbrains.kotlinx.dataframe.api.isColumnGroup
 import org.jetbrains.kotlinx.dataframe.api.isFrameColumn
 import org.jetbrains.kotlinx.dataframe.api.isSubtypeOf
 import org.jetbrains.kotlinx.dataframe.api.map
+import org.jetbrains.kotlinx.dataframe.api.parser
 import org.jetbrains.kotlinx.dataframe.api.to
 import org.jetbrains.kotlinx.dataframe.columns.TypeSuggestion
 import org.jetbrains.kotlinx.dataframe.columns.size
@@ -47,6 +48,7 @@ import java.time.format.DateTimeFormatterBuilder
 import java.time.temporal.Temporal
 import java.time.temporal.TemporalQuery
 import java.util.Locale
+import kotlin.properties.Delegates
 import kotlin.reflect.KClass
 import kotlin.reflect.KType
 import kotlin.reflect.full.withNullability
@@ -114,6 +116,13 @@ internal class StringParserWithFormat<T>(
     }
 }
 
+/**
+ * Central implementation for [GlobalParserOptions].
+ *
+ * Can be obtained by a user by calling [DataFrame.parser][DataFrame.Companion.parser].
+ *
+ * Defaults are set by [resetToDefault].
+ */
 internal object Parsers : GlobalParserOptions {
 
     private val formatters: MutableList<DateTimeFormatter> = mutableListOf()
@@ -140,7 +149,7 @@ internal object Parsers : GlobalParserOptions {
         skipTypesSet.add(type)
     }
 
-    override var useFastDoubleParser: Boolean = false
+    override var useFastDoubleParser by Delegates.notNull<Boolean>()
 
     private var _locale: Locale? = null
 
@@ -165,7 +174,7 @@ internal object Parsers : GlobalParserOptions {
             .toFormatter()
             .let { formatters.add(it) }
 
-        useFastDoubleParser = false
+        useFastDoubleParser = true
         _locale = null
         nullStrings.addAll(listOf("null", "NULL", "NA", "N/A"))
     }