Reformat with scalafmt 3.8.5

Executed command: scalafmt --non-interactive

Author: scala-steward

build.mill

@@ -75,9 +75,7 @@ trait SparkModule extends Cross.Module2[String, String] with SbtModule with Sona
 
   def publishArtifacts: T[PublishModule.PublishData] = Task {
     val publishData = super.publishArtifacts()
-    publishData.copy(
-      payload = publishData.payload.filterNot { case (ref, name) => ref.toString.contains("jar.dest") }
-    )
+    publishData.copy(payload = publishData.payload.filterNot { case (ref, name) => ref.toString.contains("jar.dest") })
   }
 
   override def sonatypeCentralReadTimeout: T[Int] = 600000

src/test/scala/dev/mauch/spark/excel/v2/DataFrameWriterApiComplianceSuite.scala

@@ -23,10 +23,7 @@ import org.scalatest.wordspec.AnyWordSpec
 class DataFrameWriterApiComplianceSuite extends AnyWordSpec with DataFrameSuiteBase with LocalFileTestingUtilities {
 
   private def simpleDf = {
-    val data = Seq(
-      ("foo", "bar", "1"),
-      ("baz", "bang", "2")
-    )
+    val data = Seq(("foo", "bar", "1"), ("baz", "bang", "2"))
     spark.createDataFrame(data).toDF("col1", "col2", "col3")
   }
 

src/test/scala/dev/mauch/spark/excel/v2/GlobPartitionAndFileNameSuite.scala

@@ -25,8 +25,7 @@ import org.scalatest.funsuite.AnyFunSuite
   *
   * #52. input_file_name returns empty string https://github.dev/mauch/spark-excel/issues/52
   *
-  * #74. Allow reading multiple files specified as a list OR by a pattern
-  * https://github.dev/mauch/spark-excel/issues/74
+  * #74. Allow reading multiple files specified as a list OR by a pattern https://github.dev/mauch/spark-excel/issues/74
   *
   * #97. Reading multiple files https://github.dev/mauch/spark-excel/issues/97
   */

src/test/scala/dev/mauch/spark/excel/v2/KeepUndefinedRowsSuite.scala

@@ -72,8 +72,8 @@ object KeepUndefinedRowsSuite {
     Row("C", "7", "8")
   ).asJava
 
-  /** Issue: https://github.dev/mauch/spark-excel/issues/162 Spark-excel still infers to Double-Type, however, user
-    * can provide custom scheme and Spark-excel should load to IntegerType or LongType accordingly
+  /** Issue: https://github.dev/mauch/spark-excel/issues/162 Spark-excel still infers to Double-Type, however, user can
+    * provide custom scheme and Spark-excel should load to IntegerType or LongType accordingly
     */
   val userDefined_Issue162 = StructType(
     List(

src/test/scala/dev/mauch/spark/excel/v2/ManyPartitionReadSuite.scala

@@ -21,7 +21,7 @@ import org.apache.spark.sql._
 import org.apache.spark.sql.functions.col
 import org.apache.spark.sql.types.IntegerType
 import org.scalatest.wordspec.AnyWordSpec
-import org.apache.spark.sql.types.{StructType, StructField, StringType}
+import org.apache.spark.sql.types.{StringType, StructField, StructType}
 
 class ManyPartitionReadSuite extends AnyWordSpec with DataFrameSuiteBase with LocalFileTestingUtilities {
 
@@ -51,9 +51,9 @@ class ManyPartitionReadSuite extends AnyWordSpec with DataFrameSuiteBase with Lo
       // Each col1 value has multiple rows (around 10-11 rows each)
       val rowsPerPartition = if (col1 == 1) 8 else if (col1 == 2) 16 else 11
       (0 until rowsPerPartition).map { i =>
-        val index = (col1 - 1) * 11 + i + 1234  // Starting from 1234 as in original data
+        val index = (col1 - 1) * 11 + i + 1234 // Starting from 1234 as in original data
         Row(
-          Integer.valueOf(col1),  // Make it nullable Integer
+          Integer.valueOf(col1), // Make it nullable Integer
           s"fubar_$index",
           s"bazbang_${index + 77000}",
           s"barfang_${index + 237708}",
@@ -63,18 +63,18 @@ class ManyPartitionReadSuite extends AnyWordSpec with DataFrameSuiteBase with Lo
     }
 
     // Define schema explicitly to match expected nullability
-    val schema = StructType(Array(
-      StructField("col1", IntegerType, nullable = true),
-      StructField("col2", StringType, nullable = true),
-      StructField("col3", StringType, nullable = true),
-      StructField("col4", StringType, nullable = true),
-      StructField("col5", StringType, nullable = true)
-    ))
+    val schema = StructType(
+      Array(
+        StructField("col1", IntegerType, nullable = true),
+        StructField("col2", StringType, nullable = true),
+        StructField("col3", StringType, nullable = true),
+        StructField("col4", StringType, nullable = true),
+        StructField("col5", StringType, nullable = true)
+      )
+    )
 
     val dfInput = spark.createDataFrame(spark.sparkContext.parallelize(data), schema)
 
-
-
     val dfFinal = dfInput.union(dfInput)
 
     val dfWriter = dfFinal.write

src/test/scala/dev/mauch/spark/excel/v2/RowNumberColumnSuite.scala

@@ -24,9 +24,9 @@ import org.scalatest.funsuite.AnyFunSuite
 import java.util
 import scala.jdk.CollectionConverters._
 
-/** Related issues: #40 Allow reading only a subset of rows https://github.dev/mauch/spark-excel/issues/40 #59 Rows
-  * are returned in incorrect order on cluster https://github.dev/mauch/spark-excel/issues/59 #115 Add excel row
-  * number column https://github.dev/mauch/spark-excel/issues/115
+/** Related issues: #40 Allow reading only a subset of rows https://github.dev/mauch/spark-excel/issues/40 #59 Rows are
+  * returned in incorrect order on cluster https://github.dev/mauch/spark-excel/issues/59 #115 Add excel row number
+  * column https://github.dev/mauch/spark-excel/issues/115
   */
 object RowNumberColumnSuite {