[SPARK-48016][SQL][3.4] Fix a bug in try_divide function when with decimals

### What changes were proposed in this pull request?

 Currently, the following query will throw DIVIDE_BY_ZERO error instead of returning null
 ```
SELECT try_divide(1, decimal(0));
```

This is caused by the rule `DecimalPrecision`:
```
case b  BinaryOperator(left, right) if left.dataType != right.dataType =>
  (left, right) match {
 ...
    case (l: Literal, r) if r.dataType.isInstanceOf[DecimalType] &&
        l.dataType.isInstanceOf[IntegralType] &&
        literalPickMinimumPrecision =>
      b.makeCopy(Array(Cast(l, DataTypeUtils.fromLiteral(l)), r))
```
The result of the above makeCopy will contain `ANSI` as the `evalMode`, instead of `TRY`.
This PR is to fix this bug by replacing the makeCopy method calls with withNewChildren

### Why are the changes needed?

Bug fix in try_* functions.

### Does this PR introduce _any_ user-facing change?

Yes, it fixes a long-standing bug in the try_divide function.

### How was this patch tested?

New UT

### Was this patch authored or co-authored using generative AI tooling?

No

Closes apache#46289 from gengliangwang/PICK_PR_46286_BRANCH-3.4.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Gengliang Wang <gengliang@apache.org>

Author: gengliangwang

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DecimalPrecision.scala

@@ -82,7 +82,7 @@ object DecimalPrecision extends TypeCoercionRule {
       val resultType = widerDecimalType(p1, s1, p2, s2)
       val newE1 = if (e1.dataType == resultType) e1 else Cast(e1, resultType)
       val newE2 = if (e2.dataType == resultType) e2 else Cast(e2, resultType)
-      b.makeCopy(Array(newE1, newE2))
+      b.withNewChildren(Seq(newE1, newE2))
   }
 
   /**
@@ -201,21 +201,21 @@ object DecimalPrecision extends TypeCoercionRule {
         case (l: Literal, r) if r.dataType.isInstanceOf[DecimalType] &&
             l.dataType.isInstanceOf[IntegralType] &&
             literalPickMinimumPrecision =>
-          b.makeCopy(Array(Cast(l, DecimalType.fromLiteral(l)), r))
+          b.withNewChildren(Seq(Cast(l, DecimalType.fromLiteral(l)), r))
         case (l, r: Literal) if l.dataType.isInstanceOf[DecimalType] &&
             r.dataType.isInstanceOf[IntegralType] &&
             literalPickMinimumPrecision =>
-          b.makeCopy(Array(l, Cast(r, DecimalType.fromLiteral(r))))
+          b.withNewChildren(Seq(l, Cast(r, DecimalType.fromLiteral(r))))
         // Promote integers inside a binary expression with fixed-precision decimals to decimals,
         // and fixed-precision decimals in an expression with floats / doubles to doubles
         case (l @ IntegralType(), r @ DecimalType.Expression(_, _)) =>
-          b.makeCopy(Array(Cast(l, DecimalType.forType(l.dataType)), r))
+          b.withNewChildren(Seq(Cast(l, DecimalType.forType(l.dataType)), r))
         case (l @ DecimalType.Expression(_, _), r @ IntegralType()) =>
-          b.makeCopy(Array(l, Cast(r, DecimalType.forType(r.dataType))))
+          b.withNewChildren(Seq(l, Cast(r, DecimalType.forType(r.dataType))))
         case (l, r @ DecimalType.Expression(_, _)) if isFloat(l.dataType) =>
-          b.makeCopy(Array(l, Cast(r, DoubleType)))
+          b.withNewChildren(Seq(l, Cast(r, DoubleType)))
         case (l @ DecimalType.Expression(_, _), r) if isFloat(r.dataType) =>
-          b.makeCopy(Array(Cast(l, DoubleType), r))
+          b.withNewChildren(Seq(Cast(l, DoubleType), r))
         case _ => b
       }
   }

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala

@@ -1106,22 +1106,22 @@ object TypeCoercion extends TypeCoercionBase {
 
       case a @ BinaryArithmetic(left @ StringType(), right)
         if right.dataType != CalendarIntervalType =>
-        a.makeCopy(Array(Cast(left, DoubleType), right))
+        a.withNewChildren(Seq(Cast(left, DoubleType), right))
       case a @ BinaryArithmetic(left, right @ StringType())
         if left.dataType != CalendarIntervalType =>
-        a.makeCopy(Array(left, Cast(right, DoubleType)))
+        a.withNewChildren(Seq(left, Cast(right, DoubleType)))
 
       // For equality between string and timestamp we cast the string to a timestamp
       // so that things like rounding of subsecond precision does not affect the comparison.
       case p @ Equality(left @ StringType(), right @ TimestampType()) =>
-        p.makeCopy(Array(Cast(left, TimestampType), right))
+        p.withNewChildren(Seq(Cast(left, TimestampType), right))
       case p @ Equality(left @ TimestampType(), right @ StringType()) =>
-        p.makeCopy(Array(left, Cast(right, TimestampType)))
+        p.withNewChildren(Seq(left, Cast(right, TimestampType)))
 
       case p @ BinaryComparison(left, right)
           if findCommonTypeForBinaryComparison(left.dataType, right.dataType, conf).isDefined =>
         val commonType = findCommonTypeForBinaryComparison(left.dataType, right.dataType, conf).get
-        p.makeCopy(Array(castExpr(left, commonType), castExpr(right, commonType)))
+        p.withNewChildren(Seq(castExpr(left, commonType), castExpr(right, commonType)))
     }
   }