[SPARK-46927][PYTHON] Make assertDataFrameEqual work properly without PyArrow

[itholic]

What changes were proposed in this pull request?

This PR proposes to fix assertDataFrameEqual to work properly without PyArrow

Why are the changes needed?

The current way does not work properly without PyArrow.

Does this PR introduce any user-facing change?

assertDataFrameEqual will raise proper error without PyArrow.

Before

>>> from pyspark.testing.utils import assertDataFrameEqual
>>> dict1 = {"a": 1, "b": 2}
>>> dict2 = {"a": 1, "b": 2}
>>> assertDataFrameEqual(dict1, dict2)
AttributeError: 'dict' object has no attribute 'schema'

After

>>> from pyspark.testing.utils import assertDataFrameEqual
>>> dict1 = {"a": 1, "b": 2}
>>> dict2 = {"a": 1, "b": 2}
>>> assertDataFrameEqual(dict1, dict2)
pyspark.errors.exceptions.base.PySparkAssertionError: [INVALID_TYPE_DF_EQUALITY_ARG] Expected type Union[DataFrame, ps.DataFrame, List[Row]] for `actual` but got type <class 'dict'>.

How was this patch tested?

UT

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

No.

[HyukjinKwon]

Merged to master.