[SPARK-52331][PS][TESTS] Adjust test for promotion from float32 to float64 during division

### What changes were proposed in this pull request?
Adjust test for promotion bug from float32 to float64 during division

### Why are the changes needed?
Pass nightly build with ANSI off.
Part of https://issues.apache.org/jira/browse/SPARK-52169.

The promotion bug is shown as below:
```
>>> ps.set_option("compute.fail_on_ansi_mode", False)
>>> spark.conf.set("spark.sql.ansi.enabled", False)
>>>
>>> import pandas as pd
>>> import numpy as np
>>> pdf = pd.DataFrame(
...     {
...         "a": [1.0, -1.0, 0.0, np.nan],
...         "b": [0.0, 0.0, 0.0, 0.0],
...     },
...     dtype=np.float32,
... )
>>>
>>> psdf = ps.from_pandas(pdf)
>>>
>>> psdf["a"] / psdf["b"]
0    inf
1   -inf
2    NaN
3    NaN
dtype: float64
>>>
>>> pdf["a"] / pdf["b"]
0    inf
1   -inf
2    NaN
3    NaN
dtype: float32
```

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
Test changes only.

```
% SPARK_ANSI_SQL_MODE=false  ./python/run-tests --python-executables=python3.10 --testnames "pyspark.pandas.tests.computation.test_binary_ops FrameBinaryOpsTests.test_divide_by_zero_behavior"
Running PySpark tests. Output is in /Users/xinrong.meng/spark/python/unit-tests.log
Will test against the following Python executables: ['python3.10']
Will test the following Python tests: ['pyspark.pandas.tests.computation.test_binary_ops FrameBinaryOpsTests.test_divide_by_zero_behavior']
python3.10 python_implementation is CPython
python3.10 version is: Python 3.10.16
Starting test(python3.10): pyspark.pandas.tests.computation.test_binary_ops FrameBinaryOpsTests.test_divide_by_zero_behavior (temp output: /Users/xinrong.meng/spark/python/target/f26cd9b9-f6c3-48ec-86f1-d1d7f6158361/python3.10__pyspark.pandas.tests.computation.test_binary_ops_FrameBinaryOpsTests.test_divide_by_zero_behavior__wrk8yuzn.log)
Finished test(python3.10): pyspark.pandas.tests.computation.test_binary_ops FrameBinaryOpsTests.test_divide_by_zero_behavior (5s)
Tests passed in 5 seconds
```

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes apache#51035 from xinrong-meng/etest_promo.

Authored-by: Xinrong Meng <xinrong@apache.org>
Signed-off-by: Xinrong Meng <xinrong@apache.org>

Author: xinrong-meng

python/pyspark/pandas/tests/computation/test_binary_ops.py

@@ -114,17 +114,29 @@ def test_binary_operator_sub(self):
     @unittest.skipIf(is_ansi_mode_test, ansi_mode_not_supported_message)
     def test_divide_by_zero_behavior(self):
         # float / float
-        for dtype in [np.float32, np.float64]:
-            pdf = pd.DataFrame(
-                {
-                    "a": [1.0, -1.0, 0.0, np.nan],
-                    "b": [0.0, 0.0, 0.0, 0.0],
-                },
-                dtype=dtype,
-            )
-            psdf = ps.from_pandas(pdf)
+        # np.float32
+        pdf = pd.DataFrame(
+            {
+                "a": [1.0, -1.0, 0.0, np.nan],
+                "b": [0.0, 0.0, 0.0, 0.0],
+            },
+            dtype=np.float32,
+        )
+        psdf = ps.from_pandas(pdf)
+        # TODO(SPARK-52332): Fix promotion from float32 to float64 during division
+        self.assert_eq(psdf["a"] / psdf["b"], (pdf["a"] / pdf["b"]).astype(np.float64))
 
-            self.assert_eq(psdf["a"] / psdf["b"], pdf["a"] / pdf["b"])
+        # np.float64
+        pdf = pd.DataFrame(
+            {
+                "a": [1.0, -1.0, 0.0, np.nan],
+                "b": [0.0, 0.0, 0.0, 0.0],
+            },
+            dtype=np.float64,
+        )
+        psdf = ps.from_pandas(pdf)
+
+        self.assert_eq(psdf["a"] / psdf["b"], pdf["a"] / pdf["b"])
 
         # int / int
         for dtype in [np.int32, np.int64]: