Removed #45 changes and correct spelling mistake

Author: SamratMitra

README.md

@@ -324,7 +324,7 @@ This check sums a column in all rows. If the sum applied to the `column` doesn't
 | `maxValue`  | NumericType | The upper bound of the sum. Type depends on the type of the `column`.  |
 | `inclusive` | Boolean     | Include `minValue` and `maxValue` as part of the range.                |
 
-**Note:** If bounds are non-inclusive, and the actual sum is eequal to one of the bounds, the relative error percentage will be undefined.
+**Note:** If bounds are non-inclusive, and the actual sum is equal to one of the bounds, the relative error percentage will be undefined.
 
 ## Example Config
 

src/test/scala/com/target/data_validator/TestHelpers.scala

@@ -25,7 +25,6 @@ object TestHelpers {
     case "java.lang.Double" => DoubleType
     case "java.lang.Boolean" => BooleanType
     case "java.lang.Long" => LongType
-    case "java.lang.Byte" => ByteType
     case _ => throw new IllegalArgumentException(s"Unknown type '${v.getClass.getCanonicalName}'")
   }
 

src/test/scala/com/target/data_validator/validator/ColumnSumCheckSpec.scala

@@ -207,22 +207,14 @@ class ColumnSumCheckSpec extends FunSpec with Matchers with TestingSparkSession
         assert(!sut.failed)
       }
 
-      it("upper bound success with short") {
+      it("upper bound success") {
         val check = ColumnSumCheck("foo", maxValue = Some(Json.fromDouble(10).get)) // scalastyle:ignore magic.number
         val df = mkDf(spark, "foo" -> List[Short](1, 2, 1))
         val sut = ValidatorDataFrame(df, None, None, List(check))
         assert(!sut.quickChecks(spark, mkDict())(config))
         assert(!sut.failed)
       }
 
-      it("upper bound success with byte") {
-        val check = ColumnSumCheck("foo", maxValue = Some(Json.fromDouble(10).get)) // scalastyle:ignore magic.number
-        val df = mkDf(spark, "foo" -> List[Byte](1, 2, 1))
-        val sut = ValidatorDataFrame(df, None, None, List(check))
-        assert(!sut.quickChecks(spark, mkDict())(config))
-        assert(!sut.failed)
-      }
-
       it("upper bound failure") {
         val check = ColumnSumCheck("foo", maxValue = Some(Json.fromFloat(1).get)) // scalastyle:ignore magic.number
         val df = mkDf(spark, "foo" -> List(1L, 1L, 1L))