[SEDONA-348] Implemented null-tolerant variants of inferred functions

[Kontinuation]

Did you read the Contributor Guide?

• Yes, I have read Contributor Rules and Contributor Development Guide

Is this PR related to a JIRA ticket?

• Yes, the URL of the associated JIRA ticket is https://issues.apache.org/jira/browse/SEDONA-348. The PR name follows the format [SEDONA-XXX] my subject.

What changes were proposed in this PR?

Functions such as ST_MakePoint need to accept null as ordinates. For example, we can use ST_MakePoint(x, y, null, m) to construct a point object with M ordinate. This requires the InferredExpression to support null-tolerant functions.

This patch introduces a family of nullTolerantInferredFunction functions for wrapping null-tolerant functions as spark catalyst expressions. For example, makePoint can be wrapped in this way:

case class ST_MakePoint(inputExpressions: Seq[Expression])
  extends InferredExpression(nullTolerantInferrableFunction4(Constructors.makePoint)) {
  // ...
}

We won't check null values for function arguments when evaluating ST_MakePoint and it is up to the wrapped function (makePoint in this case) to handle null values correctly.

How was this patch tested?

We've cherry-picked this patch on top of #950 and verified that it works as expected.
It will be covered by more null-tolerant functions we'll implement in the future.

Did this PR include necessary documentation updates?

• No, this PR does not affect any public API so no need to change the docs.