fix: update config tests to include max_reported_failures field

- Added max_reported_failures field to expected dictionaries in test_pandas_config.py
- Added max_reported_failures field to expected dictionaries in test_pyspark_config.py
- Tests now properly account for the new config field introduced in the feature

Signed-off-by: Shuntaro Takahashi <shushakura@gmail.com>

Author: stakahashy

tests/pandas/test_pandas_config.py

@@ -48,6 +48,7 @@ class TestSchema(DataFrameModel):
             "keep_cached_dataframe": False,
             "validation_enabled": False,
             "validation_depth": ValidationDepth.SCHEMA_AND_DATA,
+            "max_reported_failures": 100,
         }
 
         assert asdict(get_config_context()) == expected
@@ -68,6 +69,7 @@ def test_disable_validation(self):
             "keep_cached_dataframe": False,
             "validation_enabled": False,
             "validation_depth": ValidationDepth.SCHEMA_AND_DATA,
+            "max_reported_failures": 100,
         }
         pandera_schema = SeriesSchema(
             int, pa.Check(lambda s: s.value_counts() == 2, element_wise=False)

tests/pyspark/test_pyspark_config.py

@@ -49,6 +49,7 @@ class TestSchema(DataFrameModel):
             "validation_depth": ValidationDepth.SCHEMA_AND_DATA,
             "cache_dataframe": False,
             "keep_cached_dataframe": False,
+            "max_reported_failures": 100,
         }
 
         with config_context(validation_enabled=False):
@@ -71,6 +72,7 @@ def test_schema_only(self, spark_session, sample_spark_schema, request):
             "validation_depth": ValidationDepth.SCHEMA_ONLY,
             "cache_dataframe": False,
             "keep_cached_dataframe": False,
+            "max_reported_failures": 100,
         }
         input_df = spark_df(spark, self.sample_data, sample_spark_schema)
 
@@ -157,6 +159,7 @@ def test_data_only(self, spark_session, sample_spark_schema, request):
             "validation_depth": ValidationDepth.DATA_ONLY,
             "cache_dataframe": False,
             "keep_cached_dataframe": False,
+            "max_reported_failures": 100,
         }
 
         input_df = spark_df(spark, self.sample_data, sample_spark_schema)
@@ -252,6 +255,7 @@ def test_schema_and_data(
             "validation_depth": ValidationDepth.SCHEMA_AND_DATA,
             "cache_dataframe": False,
             "keep_cached_dataframe": False,
+            "max_reported_failures": 100,
         }
 
         input_df = spark_df(spark, self.sample_data, sample_spark_schema)
@@ -379,6 +383,7 @@ def test_cache_dataframe_settings(
             "validation_depth": ValidationDepth.SCHEMA_AND_DATA,
             "cache_dataframe": cache_dataframe,
             "keep_cached_dataframe": keep_cached_dataframe,
+            "max_reported_failures": 100,
         }
         with config_context(
             cache_dataframe=cache_dataframe,