Fixed style problems (or disabled warning when appropriate) for tests.

10 files changed, 135 insertions, 100 deletions

diff --git a/scalding/build.sbt b/scalding/build.sbt
index 2addd60..d477399 100644
--- a/scalding/build.sbt
+++ b/scalding/build.sbt
@@ -20,6 +20,13 @@ lazy val root = (project in file(".")).
       scalaSourceFiles.filterNot(_.getAbsolutePath.contains(dirNameToExclude))
     },
 
+    (scalastyleSources in Test) := {
+      // all .scala files in "src/test/scala"
+      val scalaSourceFiles = ((scalaSource in Test).value ** "*.scala").get    
+      val dirNameToExclude = "/example/"
+      scalaSourceFiles.filterNot(_.getAbsolutePath.contains(dirNameToExclude))
+    },
+
     name := "sandcrawler",
 
     resolvers += "conjars.org" at "http://conjars.org/repo",
diff --git a/scalding/src/test/scala/sandcrawler/CrossrefScorableTest.scala b/scalding/src/test/scala/sandcrawler/CrossrefScorableTest.scala
index 75be03e..e171dba 100644
--- a/scalding/src/test/scala/sandcrawler/CrossrefScorableTest.scala
+++ b/scalding/src/test/scala/sandcrawler/CrossrefScorableTest.scala
@@ -2,72 +2,77 @@ package sandcrawler
 
 import cascading.tuple.Fields
 import cascading.tuple.Tuple
-import com.twitter.scalding.{JobTest, TextLine, TypedTsv, TupleConversions}
+import com.twitter.scalding.JobTest
+import com.twitter.scalding.TextLine
+import com.twitter.scalding.TupleConversions
+import com.twitter.scalding.TypedTsv
 import org.apache.hadoop.hbase.io.ImmutableBytesWritable
 import org.apache.hadoop.hbase.util.Bytes
 import org.scalatest._
 import parallelai.spyglass.hbase.HBaseConstants.SourceMode
 
 class CrossrefScorableTest extends FlatSpec with Matchers {
+  // scalastyle:off
   val CrossrefString =
 """
-{ "_id" : { "$oid" : "5a553d5988a035a45bf50ed3" }, 
-  "indexed" : { "date-parts" : [ [ 2017, 10, 23 ] ], 
-    "date-time" : "2017-10-23T17:19:16Z", 
-    "timestamp" : { "$numberLong" : "1508779156477" } }, 
-  "reference-count" : 0, 
-  "publisher" : "Elsevier BV", 
-  "issue" : "3", 
-  "license" : [ { "URL" : "http://www.elsevier.com/tdm/userlicense/1.0/", 
-                    "start" : { "date-parts" : [ [ 1996, 1, 1 ] ], 
-                                "date-time" : "1996-01-01T00:00:00Z", 
-                                "timestamp" : { "$numberLong" : "820454400000" } }, 
+{ "_id" : { "$oid" : "5a553d5988a035a45bf50ed3" },
+  "indexed" : { "date-parts" : [ [ 2017, 10, 23 ] ],
+    "date-time" : "2017-10-23T17:19:16Z",
+    "timestamp" : { "$numberLong" : "1508779156477" } },
+  "reference-count" : 0,
+  "publisher" : "Elsevier BV",
+  "issue" : "3",
+  "license" : [ { "URL" : "http://www.elsevier.com/tdm/userlicense/1.0/",
+                    "start" : { "date-parts" : [ [ 1996, 1, 1 ] ],
+                                "date-time" : "1996-01-01T00:00:00Z",
+                                "timestamp" : { "$numberLong" : "820454400000" } },
                                 "delay-in-days" : 0, "content-version" : "tdm" }],
-  "content-domain" : { "domain" : [], "crossmark-restriction" : false }, 
-  "published-print" : { "date-parts" : [ [ 1996 ] ] }, 
+  "content-domain" : { "domain" : [], "crossmark-restriction" : false },
+  "published-print" : { "date-parts" : [ [ 1996 ] ] },
   "DOI" : "<<DOI>>",
-  "type" : "journal-article", 
-  "created" : { "date-parts" : [ [ 2002, 7, 25 ] ], 
-    "date-time" : "2002-07-25T15:09:41Z", 
-    "timestamp" : { "$numberLong" : "1027609781000" } }, 
-  "page" : "186-187", 
-  "source" : "Crossref", 
-  "is-referenced-by-count" : 0, 
+  "type" : "journal-article",
+  "created" : { "date-parts" : [ [ 2002, 7, 25 ] ],
+    "date-time" : "2002-07-25T15:09:41Z",
+    "timestamp" : { "$numberLong" : "1027609781000" } },
+  "page" : "186-187",
+  "source" : "Crossref",
+  "is-referenced-by-count" : 0,
   "title" : [ "<<TITLE>>" ],
-  "prefix" : "10.1016", 
-  "volume" : "9", 
-  "author" : [ { "given" : "W", "family" : "Gaier", "affiliation" : [] } ], 
-  "member" : "78", 
-  "container-title" : [ "Journal de Pédiatrie et de Puériculture" ], 
+  "prefix" : "10.1016",
+  "volume" : "9",
+  "author" : [ { "given" : "W", "family" : "Gaier", "affiliation" : [] } ],
+  "member" : "78",
+  "container-title" : [ "Journal de Pédiatrie et de Puériculture" ],
   "link" : [ { "URL" :  "http://api.elsevier.com/content/article/PII:0987-7983(96)87729-2?httpAccept=text/xml",
-               "content-type" : "text/xml", 
+               "content-type" : "text/xml",
                  "content-version" : "vor",
-                 "intended-application" : "text-mining" }, 
+                 "intended-application" : "text-mining" },
                { "URL" :
   "http://api.elsevier.com/content/article/PII:0987-7983(96)87729-2?httpAccept=text/plain",
-                 "content-type" : "text/plain", 
+                 "content-type" : "text/plain",
                  "content-version" : "vor",
-                 "intended-application" : "text-mining" } ], 
-  "deposited" : { "date-parts" : [ [ 2015, 9, 3 ] ], 
-                  "date-time" : "2015-09-03T10:03:43Z", 
-                  "timestamp" : { "$numberLong" : "1441274623000" } }, 
-  "score" : 1, 
-  "issued" : { "date-parts" : [ [ 1996 ] ] }, 
-  "references-count" : 0, 
-  "alternative-id" : [ "0987-7983(96)87729-2" ], 
-  "URL" : "http://dx.doi.org/10.1016/0987-7983(96)87729-2", 
-  "ISSN" : [ "0987-7983" ], 
-  "issn-type" : [ { "value" : "0987-7983", "type" : "print" } ], 
+                 "intended-application" : "text-mining" } ],
+  "deposited" : { "date-parts" : [ [ 2015, 9, 3 ] ],
+                  "date-time" : "2015-09-03T10:03:43Z",
+                  "timestamp" : { "$numberLong" : "1441274623000" } },
+  "score" : 1,
+  "issued" : { "date-parts" : [ [ 1996 ] ] },
+  "references-count" : 0,
+  "alternative-id" : [ "0987-7983(96)87729-2" ],
+  "URL" : "http://dx.doi.org/10.1016/0987-7983(96)87729-2",
+  "ISSN" : [ "0987-7983" ],
+  "issn-type" : [ { "value" : "0987-7983", "type" : "print" } ],
   "subject" : [ "Pediatrics, Perinatology, and Child Health" ]
 }
 """
+  // scalastyle:on
   val CrossrefStringWithTitle = CrossrefString.replace("<<TITLE>>", "Some Title")
   val CrossrefStringWithoutTitle = CrossrefString.replace("title", "nottitle")
   val MalformedCrossrefString = CrossrefString.replace("}", "")
 
   // Unit tests
   "CrossrefScorable.jsonToMapFeatures()" should "handle invalid JSON" in {
-    val result = CrossrefScorable.jsonToMapFeatures(MalformedCrossrefString) 
+    val result = CrossrefScorable.jsonToMapFeatures(MalformedCrossrefString)
     result.slug shouldBe Scorable.NoSlug
   }
 
diff --git a/scalding/src/test/scala/sandcrawler/GrobidScorableTest.scala b/scalding/src/test/scala/sandcrawler/GrobidScorableTest.scala
index 4b958b9..661824b 100644
--- a/scalding/src/test/scala/sandcrawler/GrobidScorableTest.scala
+++ b/scalding/src/test/scala/sandcrawler/GrobidScorableTest.scala
@@ -2,7 +2,10 @@ package sandcrawler
 
 import cascading.tuple.Fields
 import cascading.tuple.Tuple
-import com.twitter.scalding.{JobTest, TextLine, TypedTsv, TupleConversions}
+import com.twitter.scalding.JobTest
+import com.twitter.scalding.TextLine
+import com.twitter.scalding.TupleConversions
+import com.twitter.scalding.TypedTsv
 import org.apache.hadoop.hbase.io.ImmutableBytesWritable
 import org.apache.hadoop.hbase.util.Bytes
 import org.scalatest._
@@ -62,7 +65,7 @@ class GrobidScorableTest extends FlatSpec with Matchers {
   // Unit tests
 
   "GrobidScorable.jsonToMapFeatures()" should "handle invalid JSON" in {
-    val result = GrobidScorable.jsonToMapFeatures(Key, MalformedGrobidString) 
+    val result = GrobidScorable.jsonToMapFeatures(Key, MalformedGrobidString)
     result.slug shouldBe Scorable.NoSlug
   }
 
diff --git a/scalding/src/test/scala/sandcrawler/HBaseBuilderTest.scala b/scalding/src/test/scala/sandcrawler/HBaseBuilderTest.scala
index 603a4c7..c61cb22 100644
--- a/scalding/src/test/scala/sandcrawler/HBaseBuilderTest.scala
+++ b/scalding/src/test/scala/sandcrawler/HBaseBuilderTest.scala
@@ -22,6 +22,7 @@ class HBaseBuilderTest extends FlatSpec with Matchers {
     fields should have length 0
   }
 
+  //scalastyle:off no.whitespace.before.left.bracket
   it should "throw IllegalArgumentException on malformed input" in {
     a [IllegalArgumentException] should be thrownBy {
       HBaseBuilder.parseColSpecs(List("file_size"))
diff --git a/scalding/src/test/scala/sandcrawler/HBaseMimeCountTest.scala b/scalding/src/test/scala/sandcrawler/HBaseMimeCountTest.scala
index fde2290..d6d283f 100644
--- a/scalding/src/test/scala/sandcrawler/HBaseMimeCountTest.scala
+++ b/scalding/src/test/scala/sandcrawler/HBaseMimeCountTest.scala
@@ -1,15 +1,18 @@
 package sandcrawler
 
-import cascading.tuple.{Tuple, Fields}
-import com.twitter.scalding.{JobTest, Tsv, TupleConversions}
+import cascading.tuple.Fields
+import cascading.tuple.Tuple
+import com.twitter.scalding.JobTest
+import com.twitter.scalding.Tsv
+import com.twitter.scalding.TupleConversions
 import org.apache.hadoop.hbase.io.ImmutableBytesWritable
 import org.apache.hadoop.hbase.util.Bytes
 import org.junit.runner.RunWith
 import org.scalatest.FunSpec
 import org.scalatest.junit.JUnitRunner
 import org.slf4j.LoggerFactory
-import parallelai.spyglass.hbase.HBaseSource
 import parallelai.spyglass.hbase.HBaseConstants.SourceMode
+import parallelai.spyglass.hbase.HBaseSource
 import scala._
 
 @RunWith(classOf[JUnitRunner])
diff --git a/scalding/src/test/scala/sandcrawler/HBaseRowCountTest.scala b/scalding/src/test/scala/sandcrawler/HBaseRowCountTest.scala
index 3424a36..c4ca5aa 100644
--- a/scalding/src/test/scala/sandcrawler/HBaseRowCountTest.scala
+++ b/scalding/src/test/scala/sandcrawler/HBaseRowCountTest.scala
@@ -1,15 +1,18 @@
 package sandcrawler
 
-import cascading.tuple.{Tuple, Fields}
-import com.twitter.scalding.{JobTest, Tsv, TupleConversions}
+import cascading.tuple.Fields
+import cascading.tuple.Tuple
+import com.twitter.scalding.JobTest
+import com.twitter.scalding.Tsv
+import com.twitter.scalding.TupleConversions
 import org.apache.hadoop.hbase.io.ImmutableBytesWritable
 import org.apache.hadoop.hbase.util.Bytes
 import org.junit.runner.RunWith
 import org.scalatest.FunSpec
 import org.scalatest.junit.JUnitRunner
 import org.slf4j.LoggerFactory
-import parallelai.spyglass.hbase.HBaseSource
 import parallelai.spyglass.hbase.HBaseConstants.SourceMode
+import parallelai.spyglass.hbase.HBaseSource
 import scala._
 
 /**
@@ -47,12 +50,10 @@ class HBaseRowCountTest extends FunSpec with TupleConversions {
       outputBuffer =>
 
         it("should return the test data provided.") {
-          println("outputBuffer.size => " + outputBuffer.size)
           assert(outputBuffer.size === 1)
         }
 
         it("should return the correct count") {
-          println("raw output => " + outputBuffer)
           assert(outputBuffer(0).getObject(0) === 8)
         }
     }
diff --git a/scalding/src/test/scala/sandcrawler/HBaseStatusCountTest.scala b/scalding/src/test/scala/sandcrawler/HBaseStatusCountTest.scala
index 8a71f31..fe3ff21 100644
--- a/scalding/src/test/scala/sandcrawler/HBaseStatusCountTest.scala
+++ b/scalding/src/test/scala/sandcrawler/HBaseStatusCountTest.scala
@@ -1,15 +1,19 @@
 package sandcrawler
 
-import cascading.tuple.{Tuple, Fields}
-import com.twitter.scalding.{JobTest, Tsv, TypedTsv, TupleConversions}
+import cascading.tuple.Fields
+import cascading.tuple.Tuple
+import com.twitter.scalding.JobTest
+import com.twitter.scalding.Tsv
+import com.twitter.scalding.TupleConversions
+import com.twitter.scalding.TypedTsv
 import org.apache.hadoop.hbase.io.ImmutableBytesWritable
 import org.apache.hadoop.hbase.util.Bytes
 import org.junit.runner.RunWith
 import org.scalatest.FunSpec
 import org.scalatest.junit.JUnitRunner
 import org.slf4j.LoggerFactory
-import parallelai.spyglass.hbase.HBaseSource
 import parallelai.spyglass.hbase.HBaseConstants.SourceMode
+import parallelai.spyglass.hbase.HBaseSource
 import scala._
 
 @RunWith(classOf[JUnitRunner])
diff --git a/scalding/src/test/scala/sandcrawler/ScorableFeaturesTest.scala b/scalding/src/test/scala/sandcrawler/ScorableFeaturesTest.scala
index 7ec0c4d..f9c30a2 100644
--- a/scalding/src/test/scala/sandcrawler/ScorableFeaturesTest.scala
+++ b/scalding/src/test/scala/sandcrawler/ScorableFeaturesTest.scala
@@ -2,6 +2,7 @@ package sandcrawler
 
 import org.scalatest._
 
+// scalastyle:off null
 class ScorableFeaturesTest extends FlatSpec with Matchers {
   private def titleToSlug(s : String) : String = {
     new ScorableFeatures(title = s).toSlug
diff --git a/scalding/src/test/scala/sandcrawler/ScorableTest.scala b/scalding/src/test/scala/sandcrawler/ScorableTest.scala
index fd44f57..f63bef8 100644
--- a/scalding/src/test/scala/sandcrawler/ScorableTest.scala
+++ b/scalding/src/test/scala/sandcrawler/ScorableTest.scala
@@ -2,7 +2,10 @@ package sandcrawler
 
 import cascading.tuple.Fields
 import cascading.tuple.Tuple
-import com.twitter.scalding.{JobTest, TextLine, TypedTsv, TupleConversions}
+import com.twitter.scalding.JobTest
+import com.twitter.scalding.TextLine
+import com.twitter.scalding.TupleConversions
+import com.twitter.scalding.TypedTsv
 import org.apache.hadoop.hbase.io.ImmutableBytesWritable
 import org.apache.hadoop.hbase.util.Bytes
 import org.scalatest._
diff --git a/scalding/src/test/scala/sandcrawler/ScoreJobTest.scala b/scalding/src/test/scala/sandcrawler/ScoreJobTest.scala
index 1c6ae83..34081a5 100644
--- a/scalding/src/test/scala/sandcrawler/ScoreJobTest.scala
+++ b/scalding/src/test/scala/sandcrawler/ScoreJobTest.scala
@@ -2,13 +2,17 @@ package sandcrawler
 
 import cascading.tuple.Fields
 import cascading.tuple.Tuple
-import com.twitter.scalding.{JobTest, TextLine, TypedTsv, TupleConversions}
+import com.twitter.scalding.JobTest
+import com.twitter.scalding.TextLine
+import com.twitter.scalding.TupleConversions
+import com.twitter.scalding.TypedTsv
 import org.apache.hadoop.hbase.io.ImmutableBytesWritable
 import org.apache.hadoop.hbase.util.Bytes
 import org.scalatest._
 import parallelai.spyglass.hbase.HBaseConstants.SourceMode
 
 class ScoreJobTest extends FlatSpec with Matchers {
+  //scalastyle:off
   val JsonString = """
 {
   "title": "<<TITLE>>",
@@ -54,62 +58,65 @@ class ScoreJobTest extends FlatSpec with Matchers {
   "annex": null
 }
 """
+  // scalastyle:on
   val JsonStringWithTitle = JsonString.replace("<<TITLE>>", "Dummy Example File")
   val JsonStringWithoutTitle = JsonString.replace("title", "nottitle")
   val MalformedJsonString = JsonString.replace("}", "")
 
+  // scalastyle:off
   val CrossrefString =
 """
-{ "_id" : { "$oid" : "5a553d5988a035a45bf50ed3" }, 
-  "indexed" : { "date-parts" : [ [ 2017, 10, 23 ] ], 
-    "date-time" : "2017-10-23T17:19:16Z", 
-    "timestamp" : { "$numberLong" : "1508779156477" } }, 
-  "reference-count" : 0, 
-  "publisher" : "Elsevier BV", 
-  "issue" : "3", 
-  "license" : [ { "URL" : "http://www.elsevier.com/tdm/userlicense/1.0/", 
-                    "start" : { "date-parts" : [ [ 1996, 1, 1 ] ], 
-                                "date-time" : "1996-01-01T00:00:00Z", 
-                                "timestamp" : { "$numberLong" : "820454400000" } }, 
+{ "_id" : { "$oid" : "5a553d5988a035a45bf50ed3" },
+  "indexed" : { "date-parts" : [ [ 2017, 10, 23 ] ],
+    "date-time" : "2017-10-23T17:19:16Z",
+    "timestamp" : { "$numberLong" : "1508779156477" } },
+  "reference-count" : 0,
+  "publisher" : "Elsevier BV",
+  "issue" : "3",
+  "license" : [ { "URL" : "http://www.elsevier.com/tdm/userlicense/1.0/",
+                    "start" : { "date-parts" : [ [ 1996, 1, 1 ] ],
+                                "date-time" : "1996-01-01T00:00:00Z",
+                                "timestamp" : { "$numberLong" : "820454400000" } },
                                 "delay-in-days" : 0, "content-version" : "tdm" }],
-  "content-domain" : { "domain" : [], "crossmark-restriction" : false }, 
-  "published-print" : { "date-parts" : [ [ 1996 ] ] }, 
+  "content-domain" : { "domain" : [], "crossmark-restriction" : false },
+  "published-print" : { "date-parts" : [ [ 1996 ] ] },
   "DOI" : "<<DOI>>",
-  "type" : "journal-article", 
-  "created" : { "date-parts" : [ [ 2002, 7, 25 ] ], 
-    "date-time" : "2002-07-25T15:09:41Z", 
-    "timestamp" : { "$numberLong" : "1027609781000" } }, 
-  "page" : "186-187", 
-  "source" : "Crossref", 
-  "is-referenced-by-count" : 0, 
+  "type" : "journal-article",
+  "created" : { "date-parts" : [ [ 2002, 7, 25 ] ],
+    "date-time" : "2002-07-25T15:09:41Z",
+    "timestamp" : { "$numberLong" : "1027609781000" } },
+  "page" : "186-187",
+  "source" : "Crossref",
+  "is-referenced-by-count" : 0,
   "title" : [ "<<TITLE>>" ],
-  "prefix" : "10.1016", 
-  "volume" : "9", 
-  "author" : [ { "given" : "W", "family" : "Gaier", "affiliation" : [] } ], 
-  "member" : "78", 
-  "container-title" : [ "Journal de Pédiatrie et de Puériculture" ], 
+  "prefix" : "10.1016",
+  "volume" : "9",
+  "author" : [ { "given" : "W", "family" : "Gaier", "affiliation" : [] } ],
+  "member" : "78",
+  "container-title" : [ "Journal de Pédiatrie et de Puériculture" ],
   "link" : [ { "URL" :  "http://api.elsevier.com/content/article/PII:0987-7983(96)87729-2?httpAccept=text/xml",
-               "content-type" : "text/xml", 
-                 "content-version" : "vor",
-                 "intended-application" : "text-mining" }, 
+               "content-type" : "text/xml",
+               "content-version" : "vor",
+               "intended-application" : "text-mining" },
                { "URL" :
   "http://api.elsevier.com/content/article/PII:0987-7983(96)87729-2?httpAccept=text/plain",
-                 "content-type" : "text/plain", 
+                 "content-type" : "text/plain",
                  "content-version" : "vor",
-                 "intended-application" : "text-mining" } ], 
-  "deposited" : { "date-parts" : [ [ 2015, 9, 3 ] ], 
-                  "date-time" : "2015-09-03T10:03:43Z", 
-                  "timestamp" : { "$numberLong" : "1441274623000" } }, 
-  "score" : 1, 
-  "issued" : { "date-parts" : [ [ 1996 ] ] }, 
-  "references-count" : 0, 
-  "alternative-id" : [ "0987-7983(96)87729-2" ], 
-  "URL" : "http://dx.doi.org/10.1016/0987-7983(96)87729-2", 
-  "ISSN" : [ "0987-7983" ], 
-  "issn-type" : [ { "value" : "0987-7983", "type" : "print" } ], 
+                 "intended-application" : "text-mining" } ],
+  "deposited" : { "date-parts" : [ [ 2015, 9, 3 ] ],
+                  "date-time" : "2015-09-03T10:03:43Z",
+                  "timestamp" : { "$numberLong" : "1441274623000" } },
+  "score" : 1,
+  "issued" : { "date-parts" : [ [ 1996 ] ] },
+  "references-count" : 0,
+  "alternative-id" : [ "0987-7983(96)87729-2" ],
+  "URL" : "http://dx.doi.org/10.1016/0987-7983(96)87729-2",
+  "ISSN" : [ "0987-7983" ],
+  "issn-type" : [ { "value" : "0987-7983", "type" : "print" } ],
   "subject" : [ "Pediatrics, Perinatology, and Child Health" ]
 }
 """
+  // scalastyle:on
   val CrossrefStringWithTitle = CrossrefString.replace("<<TITLE>>", "SomeTitle")
   val CrossrefStringWithoutTitle = CrossrefString.replace("title", "nottitle")
   val MalformedCrossrefString = CrossrefString.replace("}", "")
@@ -168,7 +175,7 @@ class ScoreJobTest extends FlatSpec with Matchers {
       2 -> CrossrefStrings(2),
       3 -> CrossrefStrings(3)))
     .sink[(String, Int, String, String)](TypedTsv[(String, Int, String, String)](output)) {
-      // Grobid titles and slugs (in parentheses): 
+      // Grobid titles and slugs (in parentheses):
       //   Title 1                       (title1)
       //   Title 2: TNG                  (title2)
       //   Title 3: The Sequel           (title3)
@@ -178,7 +185,7 @@ class ScoreJobTest extends FlatSpec with Matchers {
       //   Title 1: TNG 3                (title1)
       //   Title 2: Rebooted             (title2)
       // Join should have 3 "title1" slugs and 1 "title2" slug
-      outputBuffer => 
+      outputBuffer =>
       "The pipeline" should "return a 4-element list" in {
         outputBuffer should have length 4
       }
@@ -190,9 +197,9 @@ class ScoreJobTest extends FlatSpec with Matchers {
         countMap("title2") shouldBe 1
       }
 
-      def bundle(slug : String, grobidIndex : Int, crossrefIndex : Int) = {
+      def bundle(slug : String, grobidIndex : Int, crossrefIndex : Int) : (String, Int, String, String) = {
         val mf1 : MapFeatures = GrobidScorable.jsonToMapFeatures(
-          Sha1Strings(grobidIndex), 
+          Sha1Strings(grobidIndex),
           JsonStrings(grobidIndex))
         val mf2 : MapFeatures = CrossrefScorable.jsonToMapFeatures(
           CrossrefStrings(crossrefIndex))