[SPARK-47858][PYTHON][FOLLOWUP] Excluding Python magic methods from error context target

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

This PR followups for apache#46063 to exclude Python magic methods from error context target

### Why are the changes needed?

We only need to logging the Apache Spark Column API functions for DataFrameQueryContext, but not Python native functions.

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

No API changes, but the error message only contain Column APIs that are supported by Apache Spark

### How was this patch tested?

The existing CI should pass.

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

No.

Closes apache#46215 from itholic/47858-followup.

Authored-by: Haejoon Lee <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>

Author: itholic

python/pyspark/errors/utils.py

@@ -197,6 +197,14 @@ def with_origin_to_class(cls: Type[T]) -> Type[T]:
     """
     if os.environ.get("PYSPARK_PIN_THREAD", "true").lower() == "true":
         for name, method in cls.__dict__.items():
-            if callable(method) and name != "__init__":
+            # Excluding Python magic methods that do not utilize JVM functions.
+            if callable(method) and name not in (
+                "__init__",
+                "__new__",
+                "__iter__",
+                "__nonzero__",
+                "__repr__",
+                "__bool__",
+            ):
                 setattr(cls, name, _with_origin(method))
     return cls