HyukjinKwon commented on code in PR #41606:
URL: https://github.com/apache/spark/pull/41606#discussion_r1252651645
##########
python/pyspark/testing/utils.py:
##########
@@ -209,3 +234,70 @@ def check_error(
self.assertEqual(
expected, actual, f"Expected message parameters was '{expected}',
got '{actual}'"
)
+
+
+def assertSchemaEqual(
+ s1: Optional[Union[AtomicType, StructType, str, List[str], Tuple[str,
...]]],
+ s2: Optional[Union[AtomicType, StructType, str, List[str], Tuple[str,
...]]],
+):
+ if s1 != s2:
+ msg = "Schemas are different"
+ raise AssertionError(msg)
+
+
+def assertDataFrameEqual(
+ df: DataFrame, expected: Union[DataFrame, List[Row]], ignore_row_order:
bool = True
+):
+ if df is None and expected is None:
+ return True
+ elif df is None or expected is None:
+ return False
+
+ def compare(r1: Row, r2: Row):
+ if r1 is None and r2 is None:
+ return True
+ elif r1 is None or r2 is None:
+ return False
+
+ d1 = r1.asDict()
+ d2 = r2.asDict()
+
+ for key in d1.keys() & d2.keys():
+ if isinstance(d1[key], float) and isinstance(d2[key], float):
+ if abs(d1[key] - d2[key]) > 1e-5:
+ return False
+ else:
+ if d1[key] != d2[key]:
+ return False
+ return True
+
+ def assert_rows_equal(rows1: Row, rows2: Row):
+ zipped = list(zip_longest(rows1, rows2))
Review Comment:
Ah, I see. Alright that's fine. You should probably also think about
leveraging a method like https://docs.python.org/3/library/difflib.html
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