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3 changes: 0 additions & 3 deletions python/pyspark/pandas/tests/test_typedef.py
Original file line number Diff line number Diff line change
Expand Up @@ -311,9 +311,6 @@ def f() -> ps.Series[pdf.a.dtype]:

self.assertRaisesRegex(TypeError, "object.*not understood", try_infer_return_type)

@unittest.skipIf(
os.environ.get("SPARK_SKIP_CONNECT_COMPAT_TESTS") == "1", "SPARK-54495: To be reenabled"
)
def test_as_spark_type_pandas_on_spark_dtype(self):
type_mapper = {
# binary
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4 changes: 0 additions & 4 deletions python/pyspark/sql/tests/pandas/test_pandas_cogrouped_map.py
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,6 @@
import unittest
import logging
from typing import cast
import os

from pyspark.sql import functions as sf
from pyspark.sql.functions import pandas_udf, udf
Expand Down Expand Up @@ -244,9 +243,6 @@ def merge_pandas(lft, rgt):

self._test_merge_empty(fn=merge_pandas)

@unittest.skipIf(
os.environ.get("SPARK_SKIP_CONNECT_COMPAT_TESTS") == "1", "SPARK-54481: To be reenabled"
)
def test_apply_in_pandas_returning_incompatible_type(self):
with self.quiet():
self.check_apply_in_pandas_returning_incompatible_type()
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3 changes: 0 additions & 3 deletions python/pyspark/sql/tests/pandas/test_pandas_map.py
Original file line number Diff line number Diff line change
Expand Up @@ -273,9 +273,6 @@ def test_dataframes_with_more_columns(self):
actual = df.repartition(1).mapInPandas(f, "id long, value long").collect()
self.assertEqual(actual, expected)

@unittest.skipIf(
os.environ.get("SPARK_SKIP_CONNECT_COMPAT_TESTS") == "1", "SPARK-54483: To be reenabled"
)
def test_dataframes_with_incompatible_types(self):
with self.quiet():
self.check_dataframes_with_incompatible_types()
Expand Down